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U niversity M icrofilm s International A Bell & H ow ell Information C o m p a n y 3 0 0 North Z e e b R o a d , Ann Arbor, Ml 4 8 1 0 6 - 1 3 4 6 U SA O rder N um ber 8912622 A n analysis o f M ichigan county secondary d ata w ith recom m endations ior u tilization by public and private tourism planners and m anagers. (V olum es I and II) O’Halloran, Robert Mark, Ph.D. Michigan State University, 1988 Copyright © 1988 by O’Halloran, Robert Mark.' All rights reserved. UMI 300 N. Zeeb Rd. Ann Arbor, MI 48106 AN ANALYSIS OF MICHIGAN COUNTY SECONDARY DATA WITH RECOMMENDATIONS FOR UTILIZATION BY PUBLIC AND PRIVATE TOURISM PLANNERS AND MANAGERS Volume I By Robert Mark O 'H a ll o r a n A DISSERTATION Submitted t o Michigan S t a t e U n i v e r s i t y in p a r t i a l f u l f i l l m e n t o f t h e re q u ir e m e n ts f o r t h e d e gr e e o f DOCTOR OF PHILOSOPHY Department o f Park and R e c r e a t i o n Resources 1988 ABSTRACT AN ANALYSIS OF MICHIGAN COUNTY SECONDARY DATA WITH RECOMMENDATIONS FOR UTILIZATION BY PUBLIC AND PRIVATE TOURISM PLANNERS AND MANAGERS By Robert Mark O 'H a llo ra n In t h i s s tu d y , t h e u t i l i z a t i o n and l i m i t a t i o n s o f Michigan secondary t o u r i s m d a t a were i n v e s t i g a t e d and recommendations were made f o r t h e use o f t h e s e d a t a by p u b l i c and p r i v a t e s e c t o r p l a n n e r s and managers. Data in t h e s tu dy inc lu de d s a l e s and use t a x v a r i a b l e s f o r s e l e c t e d to uri sm i n d u s t r i e s , county p o p u l a t i o n s , t r a v e l e x p e n d i t u r e s , t r a v e l employment, and e a t i n g and d r i n k i n g p l a c e s a l e s . A to u r i s m management in fo rm at io n system c o n c e p t u a l i z e d t h e u t i l i z a t i o n o f t h e s e d a t a . A survey was a d m i n i s t e r e d t o a sample o f to u r i s m p l a n n e r s and managers t o a s s e s s t h e i r a t t i t u d e s c on cer nin g t h e u s e f u l n e s s o f t h e s e d a t a . Results indicated p l a n n e r s and managers f e e l t h e r e i s a l a c k o f q u a l i t y d a t a a v a i l a b l e . R e s u l t s o f t h i s survey a l s o i n d i c a t e d a need by p l a n n e r s and managers f o r d a t a in a v a r i e t y o f easy t o comprehend methods. The a n a l y s e s o f t h e d a t a c o n s i s t e d o f c o n s t r u c t i n g s t a t i s t i c a l a b s t r a c t based on county s a l e s and use t a x d a t a . These a b s t r a c t s i l l u s t r a t e d county t a x r e v e n u e s , s a l e s , p e r c a p i t a s a l e s , e t c . and u t i l i z e d t h e s e d a t a t o develo p o t h e r f a c t t o o l s , i . e . gra ph s. A d d i t i o n a l l y , t h e s e d a t a were c o nv er ted t o Z - sc o re s and t h e s e s c o r e s were p l o t t e d on Michigan county maps. F u r t h e r a n a ly s e s o f t h e d a t a inc luded a facto r analysis. R e s u l t s o f t h e a n a l y s e s i n d i c a t e d t r e n d s and seasonal d i f f e r e n c e s in t h e d a t a and allowed u s e r s t o examine t h e d a t a by s e v e r a l a l t e r n a t i v e methods. The a n a ly s e s h i g h l i g h t e d county d i f f e r e n c e s and t o u r i s m as a component o f o v e r a l l economic development. A d d itionally, the fa c to r a n a l y s i s i n d i c a t e d t h a t p l a n n e r s and managers need t o s e l e c t t h e one v a r i a b l e most r e l e v a n t t o t h e i r b u s i n e s s and use i t as a f o r e c a s t i n g to ol v e r s u s usin g a c o l l e c t i o n o f v a r i a b l e s from v a r i o u s t o u r i s m b u s i n e s s e s . Secondary d a t a u t i l i z e d as f o r e c a s t i n g t o o l s and t o c o n s t r u c t a b s t r a c t s , e t c . w i l l y i e l d a q u a l i t y d a t a base f o r p u b l i c and p r i v a t e t o u r i s m p r o f e s s i o n a l s t o b e t t e r pla n and manage t o u r i s m a c t i v i t y . Copyright by Robert Mark O 'H a llo ra n 1988 D ed ica tio n This m a n u sc ri p t i s d e d i c a t e d t o t h e most i m p o r ta n t a s p e c t o f my l i f e , my f a m i l y . Thanks Cindy and K a i t l i n ! ! ! ! v ACKNOWLEDGEMENTS I would l i k e t o e x p r e s s my a p p r e c i a t i o n t o t h e fo ll o wi n g people f o r t h e i r a s s i s t a n c e in t h e development o f t h i s m a n u s c r ip t . I would f i r s t l i k e t o t ha nk Dr. Donald Holecek, chairman o f my a d v is o r y committee f o r h i s guida nce in s e l e c t i n g a t o p i c and f o r h i s a s s i s t a n c e thr ougho ut t h e a n a l y s i s and w r i t i n g p r o c e s s . I would a l s o l i k e t o thank t h e members o f my g r a d u a t e committee, Dr. Georgia Chao, Dr. Raymond Schmidgall and Dr. Lewis Moncrief f o r t h e i r i n s i g h t s and a s s i s t a n c e in t h i s p r o c e s s . A d d i t i o n a l l y , I would l i k e t o thank Ms. Gail Whiting, Ms. Diane Venzke and Ms. F r e i d a Martin f o r t h e i r s up po rt in t h e p r e p a r a t i o n o f t h i s m a n u s c r ip t . I would a l s o l i k e t o acknowledge my p a r e n t s , Edward and G eral din e O ' H a l l o r a n , f o r t h e i r c o n ti n u e d s up po rt and encouragement th ro ug hout my d e gre e program and t h r o u g h o u t my l i f e . F i n a l l y , I would l i k e t o th an k my w if e , Cindy, f o r he r co nt in u ed ad vice and s u p p o r t th r o u g h o u t t h i s p ro c e ss and he r help b ra in s to rm in g i d e a s , e d i t i n g my work and j u s t being t h e r e when I needed he r in th o s e t r y i n g t i m e s . I would a l s o l i k e t o thank he r and my d a u g h t e r , K a i t l i n , f o r t h e a f f e c t i o n and warmth th e y c on tin ue d t o show me when I was l e s s than fun. TABLE OF CONTENTS L i s t o f T a b l e s ............................................................................................................. ix L i s t o f F i g u r e s ................................................................................................................... x Chap ter 1 - I n t r o d u c t i o n ................................................................................................. 1 Objectives ................................................................................................................... 5 The Study ................................................................................................................... 6 Chapter 2 - L i t e r a t u r e R e v i e w .................................................................................. 10 Chapter 3 - Data S e l e c t i o n .................................................................................................37 Chapter 4 - Data Need S u r v e y ............................................................................................ 44 Chapter 5 - P r a c t i c a l Data Uses and L i m i t a t i o n s ......................................................52 Chapter 6 - S t a t i s t i c a l A b s t r a c t C o n s t r u c t i o n and Use: S a le s and Use Tax D a t a .................................................................................................................................60 Hotel/Motel Use T a x ...................................................................................................... 63 Hotel/Motel S a le s Tax ............................................................................................. 72 Food S e r v i c e S a le s T a x .................................................................. 74 S p o r ti n g Goods S a l e s Tax .................................................................................... 78 C lot h in g S a le s T a x ...................................................................................................... 80 Chapter 7 - U t i l i z a t i o n o f Z-Scores t o V i s u a l l y Analyze S a le s and Use Tax D a t a ....................................... Z-Score A n a ly si s ...................................................................................................... 95 95 Chap ter 8 - Expl orin g Secondary Data Using F a c to r A na ly sis .................... C o r r e l a t i o n ........................................................................................................ . 107 108 C o n c l u s i o n ........................................................................................................................116 C hap te r 9 - Summary and Conclusions .................................................................. R ec om m e nd a tio ns .................................................... Fu tu re Uses o f t h e Study 117 121 .................................................................................... 125 L i s t o f R e f e r e n c e s ................................................................................................................. 128 Appendix A - Secondary Data S o u r c e s ........................................................................ 134 Appendix B - Data Need S u r v e y ..................................................................................... 136 Appendix C - C a l c u l a t i o n o f Non-Tourism and Tourism S a le s (Family ............................................................................................ 138 Restaurants) Appendix D - Data Matrix 1983 D a t a ............................................................................ 141 Appendix E - Data Matrix 1986 D a t a ............................................................................ 147 Appendix F - S t a t i s t i c a l A b s t r a c t f o r Hotel/Motel Use Tax by Q u a rt e r f o r Michigan Counties 1983-1986 ..................................................... 153 Appendix G - S t a t i s t i c a l A b s t r a c t f o r Hotel/Motel S a le s Tax by Q u a rt e r f o r Michigan Counties 1983-1986 ..................................................... 177 Appendix H - S t a t i s t i c a l A b s t r a c t f o r Family R e s t a u r a n t s S a le s Tax by .................. 201 Q u a r t e r f o r Michigan Counties 1983-1986 . . . . Appendix I - S t a t i s t i c a l A b s t r a c t f o r Fas t Food S a le s Tax by Q u a rt e r f o r Michigan Counties 1983-86 ......................................................... 229 Appendix J - S t a t i s t i c a l A b s t r a c t f o r Taverns & Clubs S a le s Tax by Q u a r t e r f o r Michigan Counties 1983-86 ........................................ 253 Appendix K - S t a t i s t i c a l A b s t r a c t f o r S p o r ti n g Goods Sa le s Tax by Q u a r t e r f o r Michigan Counties 1983-86 ........................................ 281 Appendix L - S t a t i s t i c a l A b s t r a c t f o r M en's/Boy's Cloth ing S a le s Tax by Q u a r te r f o r Michigan Counties 1983-86 Appendix M 305 - S t a t i s t i c a l A b s t r a c t f o r Women's Clo th in g S a le s Tax by Q u a r t e r f o r Michigan Counties 1983-86 ........................................ 329 LIST OF TABLES Table 1. The Respondents: Data Need Su rv ey .......................................................... 45 Table 2. Data Use v s . N e e d s .......................................................................................... 46 Table 3. Data Users MTTRRC ( 8 7 - 8 8 ) ........................................................................ 59 Table 4. A l g e b r a i c E x p r e s s i o n s ............................................................................ . 62 Table 5. Hotel/Motel (Use Tax) Per C a p i ta S a le s (County Averages) . 68 Table 6. Grand T r a v e r s e County Hotel/Motel Use Tax 1983-86 ................... 71 Table 7. Hotel/Motel Per C ap i ta S a l e s (County Averages) ....................... 72 Table 8. Food S e r v i c e Per C a p i t a S a le s (County Averages) ........................ 75 Table 9. S p o r t i n g Goods Per C a p i ta S a le s (County Averages) ................... 79 Table 10. M en 's /B oy 's Per C ap i ta S a le s (County Averages) 80 Table 11. Women's C l o t h i n g Per C a p i ta S a le s (County Averages) . . . . Table 12. Comparison o f Total S a le s and Per C ap i ta S a l e s Fi g u r es f o r S e l e c t e d Co un tie s Based on Women's C lo th in g S a le s Tax 1986 Q u a r t e r 1 ..................................................................................................82 Table 13. Summary o f Z-Scores f o r Michigan Counties Based on Per C a p i ta S a l e s Data 1983-86 ................................... ....................... 81 101 Table 14. C o r r e l a t i o n Matrix 1983 D a t a ...................................................................109 Table 15. C o r r e l a t i o n Matrix 1986 Data Table 16. 1986 L o a d i n g s ................................................................................ Table 17. 1983 L o a d i n g s ......................................................................................................115 ix . . . .................................................110 113 LIST OF FIGURES F ig ure 1. Fi g u r e 2. P u b l i c and P r i v a t e Level Tourism Management and Planning De cis ion Pr o c e s s e s and Data Needs ................................................ 4 Tourism In f o rm a ti o n System f o r Michigan Tourism Managers and P la n n e rs and C o n s u l t a n t s : A Conceptual Framework . . 8 Fi g u r e 3. Michigan County Map ................................................................................ 64 F ig ure 4. Q u a r t e r t o Q u a r t e r Changes (+ ) , ( - ) , ( 0 ) , in Hotel/Motel Use Tax f o r S e l e c t e d Counties 1983 ................................................ 66 Q u a r t e r t o Q u a r t e r Changes (+ ) , ( - ) , ( 0 ) , in Hotel/Motel Use Tax f o r S e l e c t e d Counties 1986 ................................................ 69 F ig ure 6. P o p u la ti o n Comparison f o r S e l e c t e d Counties 86 Fi g ur e 7. Wayne County Hotel and Motel Use Tax by Q u a rt e r Fi g ur e 8. F ig ure 5. ............................ ................... 87 Oakland County Hotel and Motel Use Tax by Q ua rte r . . . . 89 Fi g ur e 9. Genesse County Hotel and Motel . . . . 90 Fi g ur e 10. Kent County Hotel and Motel Use Tax by Q u a r t e r .............................91 Fi g ur e 11. Alpena and Grand T r a v e rs e County Comparison o f Per Cap it a Hotel & Motel S a l e s by Q u a r t e r ....................................... Use Tax by Q ua rte r 92 Fig ur e 12. P e rc e nt ag e D i s t r i b u t i o n o f Total S a le s and Use Tax f o r S e l e c t e d Tourism Business S e c t o r s in Grand T rav erse C o u n t y ................................................................................................................... 93 Fi g ur e 13. Normal Curve .................................................................................................. 98 Fi g ur e 14. Hotel/Motel Use Tax Per C ap it a S a le s Z-Scores 1986 . . . . 97 F ig u r e 15. Hotel/Motel Use Tax Per C ap it a S a le s Z-Scores 1986 (Actual Sc o re s) ........................................................................................ 99 Fi g ur e 16. Family R e s t a u r a n t Per C ap it a S a le s Z-Scores 1986 ................... 104 x CHAPTER 1 INTRODUCTION The t o u r i s m i n d u s t r y , as a segment o f t h e f a s t growing s e r v i c e i n d u s t r y , r e q u i r e s a g r e a t deal o f a t t e n t i o n by p l a n n e r s . This a t t e n t i o n g e n e r a l l y assumes t h e form o f f o r e c a s t i n g re ve nues and a d v e r t i s i n g b u d g e ts . The lower p u b l i c l e v e l s o f p l a n n in g (government) a r e u s u a l l y in t h e g r e a t e s t need o f p l a n n in g t o o l s . At t h e s e lower l e v e l s o f government p l a n n i n g , namely, county and community t o u r i s m o r g a n i z a t i o n s t h e r e a r e va ry in g needs f o r d a t a . A d d itio n ally , the e x p e r tis e o f these planners to deal with t h e s e d a t a v a r i e s g r e a t l y . K o t l e r (1980) o u t l i n e s a q u e s t i o n n a i r e t h a t might a s s i s t in d e te r m in in g d a t a needs. 1. What t y p e s o f d e c i s i o n s a r e you r e g u l a r l y c a l l e d upon t o make? 2. What t y p e s o f i n f o r m a t i o n do you need t o make t h e s e d e c i s i o n s ? 3. What t y p e s o f i n f o r m a t i o n do you r e g u l a r l y g e t? 4. What t y p e s o f s p e c i a l s t u d i e s do you p e r i o d i c a l l y r e q u e s t ? 5. What ty p e s o f i n f o r m a t i o n would you l i k e t o g e t t h a t you a re not now g e t t i n g ? 6. What in fo r m a t io n would you want d a i l y ? weekly? monthly? y e a r l y ? 7. What magazines o r t r a d e r e p o r t s would you l i k e t o see ro u te d to you r e g u l a r l y ? 8. 9. 10. What s p e c i f i c t o p i c s would you l i k e t o be kep t informed of? What t y p e s o f d a t a - a n a l y s i s programs would you l i k e t o see made available? What do you t h i n k would be t h e f o u r most h e l p f u l improvements t h a t could be made in t h e p r e s e n t i n f o r m a t i o n system? Some o f t h e s e q u e s t i o n s could be r e a d i l y answered and a c te d upon. Othe rs would r e q u i r e new r e s e a r c h a c t i v i t i e s . However, a l a r g e p a r t o f t h e s e d a t a needs could be met u t i l i z i n g secondary d a t a . Secondary d a t a i s o f t e n us ef ul because t h e r e s e a r c h i s complete and r e s u l t s a r e g e n e r a l l y a v a i l a b l e a t a minimum c o s t . At t h e county or community l e v e l , a v a i l a b i l i t y o f d a t a i s d i r e c t e d by budget and s t a f f lim itations. Q ue stions asked in t h e K o t l e r o u t l i n e i n d i c a t e t h e need f o r a b a s i c l e v e l o f u n d e r s t a n d i n g o f what t o do with t h e d a t a t h a t a re available. Cook (1987) o u t l i n e d t h e development o f a comprehensive r e s e a r c h program as f o l l o w s : . Assess r e s e a r c h needs . Consi de r l i m i t a t i o n s . Establish p r i o r i t i e s . Investigate alte rn ativ es . Monitor r e s e a r c h programs At t h e county/community l e v e l a g r e a t deal o f time i s sp en t on what you cann ot do. Budget and s t a f f , as p r e v i o u s l y mentioned, a r e important but o t h e r l i m i t a t i o n s a r e a l s o pro ba ble such a s : lack of research t r a i n i n g among t o u r i s m s t a f f members, t h e l a c k o f r e l i a b l e t r a v e l r e s e a r c h methods and t h e l a c k o f a workable d a t a c o l l e c t i o n system (Cook, 1987). These l i m i t a t i o n s p l a c e t h e burden o f knowing t h e q u a l i t y and l i m i t a t i o n s o f t h e d a t a on t h e county/community l e v e l p l a n n e r s and managers. K o t l e r (1980) p o i n t s o u t , t h i s i s a very im por tan t s t e p . As Pla nn e rs and managers along w it h any r e s e a r c h e r must be c a r e f u l t o e v a l u a t e secondary d a t a s i n c e the y were c o l l e c t e d f o r a v a r i e t y o f purposes and under a v a r i e t y o f c o n d i t i o n s t h a t may l i m i t t h e i r u s e f u l n e s s . Secondary d a ta should be checked f o r r e l e v a n c e , i m p a r t i a l i t y , v a l i d i t y and r e l i a b i l i t y . The n e c e s s i t y f o r e v a l u a t i o n p o i n t s out t h e need f o r a workable to ur is m management in f o r m a t io n system and t o use t h i s system t o e v a l u a t e t h e q u a l i t y and u s e f u l n e s s o f a v a i l a b l e secondary d a t a and s o u r c e s . The aim o f such a system i s t o d i s t i l l from a mass o f i n f o r m a t i o n t h e most s t r i k i n g t e n d e n c i e s , t h e most e v i d e n t p r o p o s i t i o n s , and b r i e f l y , t h e g r e a t e s t number o f r e l a t i o n s h i p s p o s s i b l e (Moracci, 1980). While t h i s may be an o v e r s i m p l i f i c a t i o n , i t does i n d i c a t e a g e n e r a l approach t o supplying q u a l i t y secondary d a t a . As K o t l e r p o in te d o u t , t h e d i f f e r e n c e s in s o u rc e s o f t h e d a t a could have major impact. F ig ur e 1 i l l u s t r a t e s an o u t l i n e o f t o u r i s m d a t a needs and d e c i s i o n making p r o c e s s e s . This o u t l i n e p r i m a r i l y r e f l e c t s d i f f e r e n c e s in d a t a needs between t h e p u b l i c and p r i v a t e s e c t o r . I t does, however, i n t r o d u c e t h e con cep t o f a t o u r i s m management in f o r m a t io n system. Such systems have been d i s c u s s e d p r e v i o u s l y and a r e in p l a c e in some s t a t e s and a t t h e n a t i o n a l l e v e l . The county/community l e v e l , however, has not t r a d i t i o n a l l y been in c lu d e d in t h e s e s yst em s. The system being proposed w i l l a c t as a c on cep tua l framework t o s tu dy t h e problem o f: The u t i l i z a t i o n o f Michigan Countv secondary to u ri sm d a t a f o r use bv p u b l i c and p r i v a t e to u ri sm p l a n n e r s and managers. This stu dy w i l l foc us on t h e use o f secondary d a t a ta ke n from Michigan Department o f T r ea s ury s a l e s and use t a x d a t a f o r t h e fo ll ow in g variables: . Hote l/m ote l use t a x . Hote l/m ote l s a l e s t a x . F a s t food r e s t a u r a n t s a l e s t a x . Family r e s t a u r a n t s a l e s t a x . Taverns and cl u b s s a l e s t a x . S p o r t i n g goods s a l e s t a x PUBLIC Nature o f t h e Management/Pianni ng D e ci s io n Pr ocess D e ci s io n s on i n c r e a s i n g t o u r i s m in t h e t o t a l co unty. D e ci s io n s lo oki ng a t economic, s o c i a l and c u ltu ra l aspects PRIVATE Individual businesses in t h e county aiming to improve t h e i r own results. Often a t t h e county l e v e l t h e i n d i v i d u a l s a t both l e v e l s a r e t h e same. Scope o f A p p r o p r i a te Management Inf o rm a ti o n More ag gr e ga te d d a t a w it h an emphasis on e x p e n d i t u r e s and d i f f e r e n t measures o f these expenditures. County i n t e r e s t focus ed on f o r e c a s t ­ ing t h e f u t u r e and m o n it o r in g p r e s e n t day b u s i n e s s . (I n many ways p r o f i t d r i v e n with a larg er perspective.) The b u s i n e s s e s a r e lo okin g f o r d a t a t h a t w i l l h e lp them i n c r e a s e market s h a r e , he lp to g e n e r a t e new b u s i n e s s and bo os t p r o f i t s . Frequency o f Rep or tin g Q uarterly, annually, (f is c a l year) (Often d e l a y s in t h e sharing of data) D a il y , weekly, more immediate needs. ( L i t t l e data sharing) Accuracy o f t h e Data Q u e s t i o n a b l e ; dependent Often based on county on t h e s o u r c e . U su a ll y data or in te r n a l, use what you can g e t . ( Q u a l i t y o f t h e c o l l e c t i o n p ro c e ss i s t h e key on e ith e r level) Data S to r ag e Many county o r g a n i z a ­ t i o n s use manual f i l i n g and supplement t h i s w it h d a t a from o th e r sources. Manual o r automated dependent on s i z e o f the operation. Data Sources Travel Bureau, MTTRRC a t M.S.U. Data needs interpretation. County and r e g io n a l assoc. In te r p r e ta tio n needed. Fi g ur e 1. P u b li c and P r i v a t e Level Tourism Management and Plannin g De cis ion P r o ce s se s and Data Needs . M e n ' s / b o y 's c l o t h i n g s a l e s t a x . Women's c l o t h i n g s a l e s t a x These d a t a a re c o l l e c t e d by t h e Michigan Department o f t h e Tr ea su ry and were o b t a i n e d f o r t h i s stu dy from a Michigan T r a v e l , Tourism and R e c r e a t i o n Resource C en t er p u b l i c a t i o n which was used as t h e sampling frame. 86. The d a t a w i l l be examined a t t h e county l e v e l f o r t h e y e a r s 1983- These a r e t h e most r e c e n t y e a r s in which t h e d a t a became a v a i l a b l e from t h e Department o f t h e T r e a s u ry . As p a r t o f t h e framework, t h i s stu dy would be p a r t o f t h e d a t a s y n t h e s i s component. To a t t e m p t t o q u a n t i f y t h e framework, one might use t h e fo ll o w i n g e q u a t i o n : Q u a l i t y Data = f (Data Users) + f (Data Types) + f (Data Sources) + f ( P o l i c y , Planning and Management D e ci s io n ) + f (Data M on ito rin g, C o l l e c t i o n and S to r a g e ) + f (Assessment of County/Community Needs and T r a i n i n g ) + f (Ac cur ate Data Assessment) + f (I n f o r m a ti o n D is se m in a ti o n C ha n n e ls ). ( E d g e l l , 1987). This e q u a t i o n o f f e r s t o u r i s m p l a n n e r s and managers a managerial framework t o u t i l i z e in c o n j u n c t i o n with an a c c u r a t e Tourism Management Inf orm at ion System (TMIS). Objectives The o b j e c t i v e s o f t h i s stu dy a r e t o d e te r m in e : 1. t h e l i m i t a t i o n s and u s e f u l n e s s o f v a r i o u s s a l e s and use t a x d a t a as p la nn in g and d e c i s i o n making t o o l s . 2. i f s a l e s and use t a x d a t a can be tr a n s f o r m e d i n t o a more u s ef u l and meaningful form o f d a t a , i . e . s t a t i s t i c a l abstract 3, i f o t h e r methods o f p r e s e n t i n g s a l e s and use t a x d a t a can perhaps ea se t h e i n t e r p r e t i n g p ro c e s s f o r county/community t o u r i s m p l a n n e r s and managers 4. o t h e r a r e a s o f s t u d y and o t h e r uses f o r secondary d a t a . The g e n e r a l h y p o t h e s i s o f t h e s tu d y i s : Secondary d a t a a r e u s e f u l t o u r i s m pl a n n in g and management t o o l s i f p r o p e r l y e v a l u a t e d and p r e s e n t e d . The Study Based on t h i s h y p o t h e s i s t h e stu dy was conducted in s t a g e s . The f i r s t s t a g e was t h e s e l e c t i o n o f t h e d a t a which w i l l be a d dr e ss ed l a t e r in th is report. Once c o l l e c t e d , t h e d a t a were used t o c r e a t e a s t a t i s t i c a l a b s t r a c t d e s c r i b i n g t o u r i s m in t h e s t a t e o f Michigan v i a s e l e c t e d county level s ele c te d tourism i n d ic a to r s . The s tu dy u t i l i z e d t h e e n t i r e p o p u l a t i o n o f M ic hi gan 's 83 c o u n t i e s . The a n a l y s i s le n d s i t s e l f to i n t e r p r e t a t i o n s a t t h e s t a t e and i n d i v i d u a l county l e v e l s . An a n a l y s i s i s , o f c o u r s e , dependent on t h e q u a l i t y of t h e a v a i l a b l e d a t a . A chapter a d d r e s s i n g d a t a l i m i t a t i o n s i s in c lu d e d l a t e r in t h i s r e p o r t . The s t a t i s t i c a l a b s t r a c t w i l l r e p r e s e n t d e s c r i p t i v e summary s t a t i s t i c s in s a l e s and use t a x b u s i n e s s c l a s s i f i c a t i o n s . S a le s ta x f i g u r e s were used as a base in c o n j u n c t i o n with o t h e r d e s c r i p t i v e v a r i a b l e s such a s : p e r c a p i t a s a l e s , t o t a l re v e n u es , p e r c e n ta g e o f th e s t a t e each county r e p r e s e n t s , e t c . Weighted averages f o r each q u a r t e r and t h e y e a r s (1983-1986) were a l s o c a l c u l a t e d . Also c a l c u l a t e d were th e p e r c e n t a g e changes y e a r t o y e a r and t h e p e r c e n t a g e each q u a r t e r r e p r e s e n t e d f o r t h e e n t i r e y e a r f o r t h a t co unty. The ne xt s t a g e o f t h e r e s e a r c h was t o conduct a small study using as a sample a t t e n d e e s o f t h e G o ve rn o r' s Conference on Tourism h e ld in l a t e March, 1988 in Grand Rapids, Michigan. This segment o f t h e r e s e a r c h was conducted t o deter mine t h e a t t i t u d e s o f p o t e n t i a l u s e r s o f secondary d a t a . This was a n o n - p r o b a b i l i t y convenience sample which was used t o confirm t h e h y p o t h e s i s t h a t secondary d a t a a r e needed by t o u r i s m p l a n n e r s and managers. The next s t a g e o f t h e s tu d y was t o c a l c u l a t e Z - s c o r e s from t h e s a l e s and use t a x d a t a and map t h e s e s c o r e s t o v i s u a l l y a s s e s s t h e county l e v e l t r e n d s a n d / o r p a t t e r n s in t h e s e d a t a . A p r i n c i p a l components a n a l y s i s was conducted t o f u r t h e r examine th e d a t a in c o n j u n c t i o n with county l e v e l t o u r i s m e x p e n d i t u r e d a t a t h a t were purchased by t h e Michigan Travel Bureau from t h e United S t a t e s Travel Data C en te r (U .S . T .D .C .) . The con cep tua l framework f o r t h i s s tu d y i l l u s t r a t e s t h e flow o f d a t a th ro ugho ut t h e t o u r i s m o p e r a t i n g en vironment. The system, Figu re 2, Tourism In fo rm a tio n System f o r Michigan Tourism Managers, Pl a nn e rs and C o n s u l t a n t s , i n d i c a t e s t h e i n t e r n a l and e x t e r n a l i n t e l l i g e n c e systems t h a t can p r o v id e needed d a t a . managerial d e c i s i o n s P la n n in g , p o l i c y , and a r e made a t d i f f e r e n t p u b l i c and p r i v a t e l e v e l s in t h e f i r s t s t a g e o f t h e system. Based on t h e c o l l e c t i o n and c r e a t i o n of t h e s e d a t a , d i f f e r e n t ty p e s o f d e c i s i o n s a r e made by u s e r s who in t u r n c o n t r i b u t e d a t a t o a l a r g e r d a t a bank. In t h i s s t a g e o f t h e system, d a t a m on it or in g and need a ss ess me nt s a r e conducted t o de te r m in e t h e most e f f i c i e n t and a p p r o p r i a t e ty p e s o f d a t a t h a t u s e r s w i l l r e q u i r e . A d d i t i o n a l l y , assess me nts should be made c on ce rn in g t h e a b i l i t y o f p o t e n t i a l u s e r s t o u nd e rs tand and i n t e r p r e t t h e d a t a . I f necessary, t r a i n i n g programs could be developed t o p r o v id e u s e r s with t h e s k i l l s T0CB1SB OPERATING PfVTWCtfDgXT I n te r n a l I n t e l l i g e n c e System H o o ito r ln g A c t i v i t y P rop er D ata Co U oc LIoq Pr o c e d u r e s P le a s e d / f l a m i n g , P o lic y f Management! J I I > K i,l 0 U D ata Types Pat* S ources C r e e tlo o and C o lle c t io n o f n a tu r a l R esources T ra n sp o r ta tio n S ta te Employment S e c u r ity Commission • A g r ic u ltu r e F ed eral Government: - A g r ic u ltu r e - I n t e r io r Local Government: - Chamber o f Co— area • Z onin g, a t e . tr a d e A s s o c ia t iv e P r iv a te B u s in e s s e s B e t e l s , R e stau ran ts T ravel A g e n ts, Tour O p eration s A t tr a c tio n s L ib r a r ie s J o u rn a ls Q .S. T ravel O ats C aster t Figure 2: th e M ost E f f i c i e n t Ose o f th e D ata f o r S a la s Tea Osa Tns S ta te Government: - tm s u iy • . P lana Lag, P o lic y ement D e c is io n s A n a ly s ts D ata O sers R esource In ven tory K atu ral Kan Hade R eports on: S upply/D e F e a s ib ility F o r e c a s tin g E x te r n a l I n t e l l i g e n c e S ystem D ata S y n t h e s is 1 s t O n l v e r s i t l e s ) County and L o ca l T ouri O r g a n isa tio n s E v a lu a to r o f tb e Q u a lity and U s e fu ln e s s o f tb e Data S t a t e T o u r ls a P lann ers and Managers and L egIs la to r s N od u les S p e c i f y i n g S egm ents formed L ocal C on ven tion and V i s i t o r B ureaus T ran sform ation a n d /o r I n t e g r a t io n o t ' D i f f e r e n t O ats T ypes I n to a (tore O se fu l Format V i s i t o r Counts T r a f f ic Counts H eather M ackinac B rid ge C r o s sin g s Campground Ose C o n s u lta n ts R e c r e a tio n L ic e n s e s B is t ln g F ls b in g B o a tin g I n te g r a te d T ourIs B u sin e ss County C o e p a r lso o - T ear t o T ear Primary Tour I s a and H o s p i t a l i t y B u sin e ss Summary S t a t i s t i c s In fe r e n tia l S t a t i s t i c s T r a in in g A w areness fo r P la n n e r s , M anagers and C o n s u lta n ts f o r Prop er D t l l l c a t l o o o f V ariou s D ata f o r O sers Land u se I Proper C hannels f o r I D issem in a tio n o f D ata I D ecid ed and A cted OpooJ C r e a tio n o f S t a t i s t i c a l A b s tr a c ts and I n d ic e s D e v elo p e rs P r iv a t e B u s in e s s and Trade A s s o c ia t io n S ta tis tic s A S u g g e s tio n s f o r Prim ary R esearch G en er a tio n o f Mew H yp oth eses R esearch P r o j e c t F orm u lation 4 I n d iv id u a l R esearch Tm £ T o u r is t / ■ l c b i g s n O n lv e r a lt ie a I I n t e r e s t e d to T o u r ls a I P a r t i c i p a t e a s H o o it o r lo g , T ra ck er s and C o mp pi ilin i u gg,, | A n a ly s in g A g e n ts. MTTRRC (O n lv e r s itt y JA c tin g I a s an I n te g r a te d S ! y ste m )y Tourism Information System f o r Michigan Tourism Managers and Planners and C o n s u lt a n ts : A Conceptual Framework required to best u t i l i z e these data. Based on t h e e v a l u a t i o n s made a t t h i s s t a g e o f t h e p r o c e s s , t h e a n a l y s t s in t h e f o l l o w i n g s t a g e w i l l produce d a t a f o r use by to u r i s m p r o f e s s i o n a l s . The a n a l y s t s would be u n i v e r s i t y and c o l l e g e f a c u l t y and s t a f f wit h an i n t e r e s t in t h e to ur is m industry. Once t h e s e d a t a have been t r a n s fo rm e d i n t o more r e a d i l y us ab le i n f o r m a t i o n , th e y w i l l be d i s t r i b u t e d t h r o u g h o u t t h e system. Some o f t h i s in f o r m a t io n w i l l flow t o t h e d a t a s o u r c e s f o r t h e i r use and be i n c o r p o r a t e d with e x i s t i n g d a t a t y p e s . These d a t a w i l l be u t i l i z e d by a u s e r s o f t h e system f o r con tin ue d p l a n n i n g . The t o u r i s t w i l l a l s o b e n e f i t from t h e s e d a t a by means o f media announcements e t c . The t o u r i s t s a l s o g e n e r a t e d i f f e r e n t d a t a ty pe s ( i . e . h u nt in g l i c e n s e s ) and c o n t r i b u t e i n d i v i d u a l d a t a t o t h e l a r g e d a t a bank. The d i s s e m i n a t e d d a t a flows from t h e d a t a bank and w i l l be r e i n c o r p o r a t e d i n t o t h e d a t a bank in i t s new s y n t h e s i z e d form. Hence, Fig ur e 2 i l l u s t r a t e s t h e framework upon which t h e s t r u c t u r e o f t h i s s tu d y r e s t s . CHAPTER 2 LITERATURE REVIEW Tourism pla n n in g i s im p o r ta n t in Michigan, and in any o t h e r s t a t e or r e g i o n , i f t h a t r e g i o n wish es t o have a well c o o r d i n a t e d system o f r e s o u r c e s , a g e n c i e s , f a c i l i t i e s and s e r v i c e s r e l a t e d t o to u r i s m ( O ' H a l l o r a n , 1986). The need f o r q u a l i t y d a t a f o r to u r i s m pla nn in g and management i s v i t a l l y i m p o r ta n t thr ou gh out t h e United S t a t e s . Decision makers w i t h i n M ic h i g a n ' s t o u r i s m system must draw upon t h e knowledge and e x p e r t i s e o f many d i f f e r e n t academic d i s c i p l i n e s and r e s e a r c h o r g a n i z a t i o n s (F ridgen and A l l e n , 1982). Government a g e n c ie s pro vid e the c e n t r a l focus f o r s t a t e w i d e to u r i s m and r e s e a r c h a c t i v i t y (Fridge n and A l l e n , 1982). In Michigan, t h e Departments o f Commerce, T r a n s p o r t a t i o n , and Nat ura l Resources a r e t h e primary so urc es o f to u r i s m r e l a t e d r e s e a r c h (F ri d g e n and A l l e n , 1982). The Michigan Department o f Natural Resources (MDNR) f o c u s e s on th e a t t e n d a n c e and usage components o f some f a c e t s o f t o u r i s m . The MDNR is p a r t i c u l a r l y concerned w it h t h e n a t u r a l r e s o u r c e s in t h e s t a t e which a re a ma jor t o u r i s t a t t r a c t i o n ( f i s h i n g , h u n ti n g , s t a t e p a r k s ) . The MDNR u t i l i z e s usage and a t t e n d a n c e co unt s in much o f i t s r e s e a r c h . While c o n d u c ti n g i t s r e s e a r c h , t h e MDNR d e f i n e s t o u r i s t s as imported r e c r e a t i o n i s t s s t a t i n g th e y a re ve ry, very d i v e r s e ( S c h e r s c h l i g h t , 1982). The Michigan Department of T r a n s p o r t a t i o n (MDOT) fo c u s e s on t r a v e l in t h e s t a t e and t h e d i s t r i b u t i o n o f in f o r m a t i o n . MDNR t o p r o v id e a campground in fo r m at io n system. I t works c l o s e l y with th e I t s r e s e a r c h base d e a l s w it h t r a f f i c c ou nt s and t o u r i s t in fo r m a t io n d i s t r i b u t i o n . The Michigan Welcome C e n t e rs which MDOT o p e r a t e s have a l s o been t h e base o f t r a v e l n e x p e n d i t u r e su rveys conducted in t h e s t a t e . MDOT i s i n t e r e s t e d in meeting t h e t r a v e l i n g p u b l i c ' s needs and in maximizing t o u r i s t d o l l a r s coming i n t o t h e s t a t e ( S c o t t , 1982). The r e s e a r c h looks a t c o s t e f f e c t i v e n e s s o f in f o r m a t io n d i s t r i b u t i o n and examines where t r a v e l e r s go, how long th e y s t a y , how long t h e y a r e in Michigan and what f a c i l i t i e s t h e y use in t h e state. The Michigan Department o f Commerce and i t s Travel Bureau fo c u s e s a g r e a t amount o f a t t e n t i o n on promotion o f t h e s t a t e and i t s a t t r a c t i o n s . The m a j o r i t y o f t h e r e s e a r c h i s concerned with t h a t promotion. I t i s obvious t h a t a l l t h r e e o f t h e a g en c ie s can and do work together. There a r e , however, o t h e r so urc es o f d a t a a v a i l a b l e f o r to u ri sm p la nn in g and management. One should not ov e rlo ok t h e u s e f u l n e s s o f o t h e r n o n - t r a d i t i o n a l so ur c es o f secondary d a t a . The Michigan Department o f th e T r ea s ury may be such a s o u r c e . Tourism l a c k s a u n i v e r s a l l y acce pted meaning and because o f t h i s a wide v a r i e t y o f to u r i s m r e l a t e d b u s i n e s s e s e x i s t Kolecek s t a t e s t h a t t o u r i s m in Michigan i s v e ry complex and i s a f u n c t i o n o f f i v e major components: t o u r i s t s , p r iv a te firms, public agencies, public resources, and p r i v a t e r e s o u r c e s (Holecek, 1982). T o u r i s t s can be c o n c e p t u a l l y de fi n e d a s : p e rs o n s who t r a v e l g e n e r a l l y f o r non-work r e a s o n s (McIntosh & Goeldner, 1986). A bro a d e r a p p l i c a t i o n o f t h e term to uri sm might be: temporary v i s i t o r s t o an a re a o t h e r th a n t h e i r usual p l a c e o f r e s i d e n c e c l a s s i f i e d under one o f t h e f o l l o w i n g h e ad in gs : a. l e i s u r e , r e c re a tio n , holiday, h ealth , study, re l i g io n b. b u s i n e s s , f a m ily m is s i o n , meetings 12 ( L e i p e r , 1979). Tourism can a l s o be d e f i n e d as t h e sum o f phenomena and r e l a t i o n s h i p s a r i s i n g from t h e i n t e r a c t i o n s o f t o u r i s t s , b u s i n e s s e s , s u p p l i e r s , h o s t governments, and h o s t communities in t h e p r o c e s s o f a t t r a c t i n g and h o s t i n g t h e s e t o u r i s t s and o t h e r v i s i t o r s (McIntosh & Goeldner, 1986). I t i s i m p o r ta n t f o r p l a n n e r s and managers t o have a f u l l u n d e r s t a n d i n g o f t h e scope o f t o u r i s m as an i n d u s t r y . various BarOn (1978) l i s t e d c h a r a c t e r i s t i c s o f to u r i s m which can h e lp d e s c r i b e to u r i s m ; 1. A wide v a r i e t y o f market segments - r e l a t e d t o demand f o r t o u r i s m and t r a n s p o r t s e r v i c e s by i n t e r n a t i o n a l and domestic t o u r i s t s o f many d i f f e r e n t socio-economic c h a r a c t e r i s t i c s , purpos es and ty p e s o f t o u r . 2. Varied ty p e s o f accommodation and o t h e r to u ri sm f a c i l i t i e s in many d i f f e r e n t r e s o r t s , o f d i f f e r e n t c h a r a c t e r i s t i c s , whose supply i s r e l a t i v e l y i n e l a s t i c , though some s u b s t i t u t i o n i s p o s s i b l e when demand exceeds su pp ly . 3. Stron g changes from month t o month, due both t o t h e high s e a s o n a l i t y in most demand s e r i e s and t o r a p i d growth in t h e t r e n d s , s u b j e c t t o u n c e r t a i n t y and i n t e r r u p t i o n s due t o unusual e v e n t s ( f a v o r a b l e and u n f a v o r a b l e ) . There a r e peak days ( e . g . around f e s t i v a l s and weekends) on which c o n g e s t i o n may be a major problem. 4. The t r a n s i e n t c h a r a c t e r o f to u r i s m and t h e p e r i s h a b i l i t y o f unused sup ply (rooms, a i r c r a f t s e a t s ) , which cannot be s t o r e d f o r l a t e r demand. 5. A wide v a r i e t y o f p r i c e s (by typ e o f f a r e o r package, s e a s on, ty p e o f i n d i v i d u a l o r g r o u p ) , with demand p r i c e e l a s t i c as well as i n f l u e n c e d by e v e n t s , h a b i t s and publicity. 6. Many d i f f e r e n t n a t i o n a l , re g i o n a l and l o c a l government and p u b l i c and p r i v a t e e n t e r p r i s e s a r e r e s p o n s i b l e f o r de vel op i ng t o u r i s m and sup ply ing t h e a p p r o p r i a t e s e r v i c e s and t h e i r p la n s should be c o o r d i n a t e d . 7. The long p la nnin g and b u i l d i n g ( o r p r e p a r a t i o n ) span b e f o r e new f a c i l i t i e s a r e s u p p l i e d o r new programs ma rketed, wit h t h e need f o r speedy d e c i s i o n s when c o n d i t i o n s change. 13 8. The ve ry c o n s i d e r a b l e inve st me nts r e q u i r e d - in c l u d i n g a l l o c a t i o n o f la nd and t r a i n i n g o f human r e s o u r c e s , and t h e r i s k s o f o v e r - s u p p l y o r u n d e r - s u p p ly . 9. The s t r o n g c o m p e t i t i o n from t e n s o f o t h e r c o u n t i e s (and hundreds o f programs) f o r t h e i n t e r n a t i o n a l and domestic to u rists. (BarOn, 1978) The o p e r a t i o n a l d e f i n i t i o n o f to u ri sm t h a t w i l l be a p p l i e d th ro ug ho ut th is report is: Tourism i s an environment o f p ro d u c ts and s e r v i c e s both p u b l i c and p r i v a t e which a s s i s t s in b u i l d i n g a r e l a t i o n s h i p between a v i s i t o r and a h o s t community in terms o f c u l t u r a l , s o c i o l o g i c a l , economic, p s y c h o l o g i c a l and p h y s i c a l im pacts. Planning can be c o n c e p t u a l l y d e fi n e d as t h e de sig n o f p roc ed ures or a c t i o n s in a n t i c i p a t i o n o f f u t u r e e v en ts (Ninemeier, 1986). P a r t o f any pla n n in g p ro c e s s i s t h e development o f a q u a l i t y d a t a base . Reliable i n f o r m a t i o n i s e s s e n t i a l f o r t h e s c i e n t i f i c p la nn in g o f any p r o j e c t , economic branch o r s e c t o r . S t a t i s t i c a l and o t h e r d a t a on t h e p r e s e n t s t r u c t u r e , on h i s t o r i c , c u r r e n t and f u t u r e t r e n d s , and on s u c c e s s e s or f a i l u r e s o f p r o j e c t s ( o n e ' s own and c o m p e t i t o r s ' ) must be an al yz e d . The i n t e r - d i s c i p l i n a r y approach w i l l use p r o f e s s i o n a l judgment as well as e x t r a p o l a t i o n s and mathematical models, in o r d e r t o p ro vid e p r o j e c t i o n s f o r t h e f u t u r e under v a r i o u s p o l i c y a ssu mp tio ns , t a k i n g i n t o account environmental changes, developments in techn ol ogy and in consumer t a s t e s and t h e e f f e c t s on t h e sup ply o f new f a c i l i t i e s . (BarOn, 1978). In t h e p u b l i c s e c t o r , c o m p e t it io n i s promoted in t h e ca s e o f to u r i s m by t h e f a c t t h a t t o u r i s m r e l a t e d f u n c t i o n s a re s e p a r a t e d among a number o f i n d i v i d u a l a g e n c ie s r a t h e r than a s i n g l e agency which has to u ri sm as i t s c e n t r a l purpose (Holecek, 1982). He f u r t h e r s t a t e s t h a t t h e to u r i s m 14 system i s bounded by t h e environment which impacts i t but which i s beyond d i r e c t c o n t r o l o f t h e system, i . e . , economy, c l i m a t e , t e c hn ol og y, government, s o c i a l / c u l t u r a l . In t h e o r y , a l l p u b l i c a g e n c ie s should r o u t i n e l y c o o p e r a te t o f u r t h e r t h e i n t e r e s t s o f t h e p u b l i c th e y s er v e (Holecek, 1982). Problems in c o o r d i n a t i o n between t h e p u b l i c and t h e p r i v a t e s e c t o r s a l r e a d y e x i s t , so perhaps i t would be more h e l p f u l t o t r y t o b r i n g t h e s e two groups c l o s e r t o g e t h e r (Q 'Hall orar., 1986). According t o K a i s e r and Helber (1978), "when d i v e r s i v e n e s s oc cu rs everyone l o s e s , " so c o o r d i n a t i o n between t h e p u b l i c and t h e p r i v a t e s e c t o r s i s e x tr e m e l y i m p o r t a n t . The development and use o f q u a l i t y secondary d a t a w i l l f a c i l i t a t e t h i s coordination. The pla nn in g p ro c e ss needs t o i n c lu d e an a ss ess me nt o f t h e impact o f to u r i s m on t h e county. The county w i l l pro v id e an i n f r a s t r u c t u r e f o r to u r i s m and needs a q u a l i t y d a t a base t o p r o v id e such a s t r u c t u r e and reap p o te n tia l b e n e fits of tourism. A q u a l i t y d a t a base w i l l e na bl e a county t o p r e d i c t a d d i t i o n a l i n f r a s t r u c t u r e and s e r v i c e r e q u ir e m e n ts f o r to ur is m development, a s s i s t in e s t i m a t i n g t h e i r c o s t and a s s i s t in d e c i d i n g who w i l l pay f o r / p r o v i d e t h e s e s e r v i c e s . An e xam in ation o f t h o s e i s s u e s in t h e p la nn in g p ro c e ss would e v a l u a t e t h e need f o r i n c r e a s e d f e e s , s a l e s and use t a x , p r o p e r t y t a x or l a r g e r s h a r e s o f f e d e r a l and s t a t e t a x revenues (S tynes and O 'H a l l o r a n , 1987). Research e f f o r t s a t t h e T r a v e l , Tourism, and R e c r e a t i o n Resource Cent er a t Michigan S t a t e U n i v e r s i t y l e a d t o t h e p u b l i c a t i o n o f a r e s e a r c h monograph, Travel and Tourism in Michigan: A S t a t i s t i c a l P r o f i l e , which p ro v id e s to u ri sm p l a n n e r s , s t a t e w i d e , wit h a base o f d a t a t o use in t h e i r 15 p la n n in g e f f o r t s . The p r o f i l e pro v id e s a s t a t i s t i c a l guide t o t h e s t a t e ' s t o u r i s m performance ove r s e v e r a l y e a r s . The i d e n t i f i c a t i o n o f t r e n d s or changes in performance i s a d i f f i c u l t b ut n e c e s s a r y t a s k , " pl an nin g w i t h o u t e m p i r i c a l d a t a on which t o base sound d e c i s i o n s o r s o l u t i o n s i s somewhat akin t o sky d i v i n g with a b u s in es s m an 's um brella - - t h i n g s go well u n t i l t h a t f i r s t moment o f t r u t h when r e s p o n s i v e n e s s t o need must be e v a l u a t e d (Dawson, 198 5)." The problem t h a t e x i s t s f o r many p l a n n e r s i s t h a t t h e y a r e no t aware o f t h e a v a i l a b l e d a t a or t h e u s e f u l n e s s o f a lr e a d y ex istin g data. Dawson s t a t e s t h a t a communication and i n fo r m a t io n gap e x i s t s , f o r v a r i o u s r e a s o n s , between e x i s t i n g s t a t e - o f - t h e - a r t r e s e a r c h and t h e ongoing needs o f many p r a c t i t i o n e r s - - p l a n n e r s , managers, and adm inistrators. The development o f p r a c t i c a l and s c i e n t i f i c a l l y sound approaches t o c o n s t r u c t i n g and r e p o r t i n g i n d i c e s r e l a t e d t o r e c r e a t i o n and to u r i s m t r e n d s i s n e c e s s a r y f o r pla nn in g and management f u n c t i o n s , as well as f o r o t h e r purp os es such as a c c o u n t a b i l i t y and e d u c a t i o n a l m a t e r i a l s (Dawson, 1985). The o p e r a t i o n a l d e f i n i t i o n o f p la n ni n g f o r t h e purposes o f t h i s study w i l l be d e f i n e d as a p ro c e s s in which t h e methods and systems t o reach s t a t e d o b j e c t i v e s and g o a l s a r e v i s u a l i z e d and d e f i n e d . In t h i s p r o c e s s , c o n t r o l s a r e t h e v i t a l e le m en t, m onit or ing a c t u a l performance v e rs us prescribed standards. The two d e f i n i t i o n s ( to u r is m and p la n n in g ) taken t o g e t h e r can then be i n t e r p r e t e d as t h e d e s ig n o f pro c e du res t o f a c i l i t a t e t h e r e l a t i o n s h i p s a r i s i n g from t h e components o f to u ri sm in a n t i c i p a t i o n of fu tu re events. A gap n e c e s s a r i l y e x i s t s , because o f t h e n a t u r e o f r e s e a r c h , between t h e l e a d i n g edge o f th e o r y and i t s a p p l i c a t i o n as a p r a c t i c a l th e o r y 16 (R o v e l s t a d , 1982). A major p a r t o f t h i s gap could be t h e o r g a n i z a t i o n o f t h e t o u r i s m f u n c t i o n a t t h e l o c a l a n d / o r re g i o n a l l e v e l s . The r e s e a r c h c a p a b i l i t y o f t h e s e groups i s l i m i t e d due t o expense, ti m e , and e x p e r t i s e . The r e s e a r c h and i n t e r p r e t a t i o n e f f o r t s o f t h e s e groups a r e o f t e n based on o u td a te d h i s t o r i c a l d a t a . This i s o f t e n t h e ca s e because t h e r e a r e no o t h e r d a t a o r methods a v a i l a b l e f o r p la nn in g and management decisions. The model in use by some c o u n t i e s i s based on a model de veloped by t h e Michigan Travel Bureau from t h e r e s u l t s o f a 1975 s tu dy. The model i s o u t d a t e d and i s in need o f r e v i s i o n t o y i e l d t h e optimal r e s u l t s (M orr is , 1988). In t h e absence o f an updated model, to uri sm p l a n n e r s and managers w i l l use what i s a v a i l a b l e . In o t h e r s i t u a t i o n s , counties and/or regional a ss o c ia tio n s u t i l i z e state-w id e estim ates for re ve nu es and e s t i m a t e what p o r t i o n o f t h e s e revenues should be a l l o c a t e d to the d i f f e r e n t counties. An example o f t h i s i s a d a t a s h e e t developed and u t i l i z e d by t h e Western Michigan Tourism A s s o c i a t i o n . The d a t a s h e e t s , e n t i t l e d Travel D o l l a r s Impact in Michigan bv WMTA and Travel D o l l a r Impact in West Michigan bv WMTA. h i g h l i g h t Michigan c o u n t i e s in th e following areas: t h e number o f j o b s in t h e t r a v e l i n d u s t r y , the p e r c e n t a g e o f t r a v e l j o b s t h e county r e p r e s e n t s o f t h e s t a t e t o t a l , the t r a v e l d o l l a r s g e n e r a t e d in t h e co unty, t a x d o l l a r s g e n e r a t e d f o r county government and t h e number o f t r a v e l e r s t o t h e i n d i v i d u a l co unty. These f i g u r e s were g e n e r a t e d f o r use in t h e re g io n based on e s t i m a t e s made by such a g e n c ie s as t h e Michigan Travel Bureau, and t h e Michigan T r a v e l , Tourism and R e c r e a ti o n Resource C e n t e r. In p a r t i c u l a r , t r a v e l d o l l a r s are e s t i m a t e d based on t h e 1987 Michigan Travel Bureau s t a t e e x p e n d i t u r e e s t i m a t e o f 14.6 b i l l i o n d o l l a r s . This f i g u r e was m u l t i p l i e d by t h e 17 p e r c e n t a g e o f t o t a l j o b s in each county t o a r r i v e a t county e x p e n d i t u r e . S i m i l a r l y , t h e number o f t r a v e l e r s in a county i s e s t i m a t e d by usi ng t h e p e r c e n t a g e o f j o b f i g u r e s and appl yin g i t t o t h e Michigan Travel Bureau e s t i m a t e o f 52.4 m i l l i o n v i s i t o r s in t h e s t a t e (WMTA, 1988). These f i g u r e s can be c o n s id e r e d re a s o n a b l e e s t i m a t e s i f t h e u s e r s a re aware o f t h e d a t a l i m i t a t i o n s . They a r e an e f f o r t by t h e re g i o n a l a s s o c i a t i o n t o p ro v id e i t and i t s membership with d e c i s i o n making d a t a . The c l o s i n g s t a t e m e n t o f t h e d a t a s h e e t s t a t e s : "These f i g u r e s , in t h i s f o r m a t, a r e provide d by t h e West Michigan T o u r i s t A s s o c i a t i o n as a b a s e l i n e y e a r t o y e a r comparison u n t i l more a c c u r a t e f i g u r e s can be obtained. We encourage t h e f u l l and complete development o f more a c c u r a t e and p r e c i s e i n f o r m a t i o n . " The development o f such a d a t a base i s demanded by t h e to u r i s m i n d u s t r y in Michigan. R ovel sta d s t a t e s t h a t t h e to u r i s m i n d u s t r y as a whole makes l e s s use o f r e s e a r c h than most o t h e r consumer s e r v i c i n g i n d u s t r i e s (R o v e ls t a d , 1982). The i n t e r p r e t a t i o n o f t h e r e s e a r c h t h a t i s conducted i s a major p a r t o f t h e gap between r e s e a r c h and a p p l i c a t i o n . There e x i s t s a d e f i n i t e demand f o r r e s e a r c h and u s a b le d a t a by to u ri sm practitioners. In t h e symposium p ro c e e d in g s , "Michigan Tourism: Research Help?" t h e r e g i o n a l needs f o r t o u ri sm were h i g h l i g h t e d . needs i n c l u d e : 1. evaluation of advertising effectiveness 2. a b u s i n e s s c o n d i t i o n s study 3. s tu dy o f group t o u r s 4. an i n v e n t o r y and e v a l u a t i o n o f r e s o u r c e s a v a i l a b l e and p o t e n t i a l new r e s o u r c e s 5. v i s i t o r p ro file studies How Can Such 18 6. s tu dy o f monetary e x p e n d i t u r e s by t o u r i s t s v i s i t i n g t h e reg io n 7. s t u d i e s conducted a t Travel In fo rm a tio n C ent ers 8. t o u r i s m r e l a t e d employment s t u d i e s ( F ri d g e n , 1982). This l i s t i n d i c a t e s t h e need f o r long term i n fo r m a t io n p l a n n in g . Cross s e c t i o n a l d a t a a r e u s e f u l but t h e needs a r e c l e a r l y f o r a mon itor ing o f a c t i v i t i e s ove r t im e . There was a l s o a c a l l f o r a common d a t a base a c r o s s both t h e p r i v a t e and p u b l i c s e c t o r . On a r e g i o n a l b a s i s , t h e r e was a c a l l f o r r e s e a r c h c on c e rn in g : 1. evaluation of information serv ices e ffe c tiv e n e s s 2. development o f more complete and broad based t r a c k i n g and m o n it o r in g system f o r t h e i n d u s t r y 3. stu dy o f sea so nal and s p e c i a l p o p u l a t i o n s f o r v a r i o u s re g i o n s 4. an i n v e n t o r y o f s t a t e and re g i o n a l r e s o u r c e s (F ri d g e n , 1982). A review o f t h e s e s t a t e d needs c l e a r l y p o i n t s ou t t h e demand f o r t h e d a t a o f t h e ty pe t h i s s t u d y w i l l us e. Mo nitoring and t r a c k i n g systems f o r to u r i s m r e l a t e d b u s i n e s s ' s d a t a would help t o e l u c i d a t e t h e u s e f u l n e s s o f secondary d a t a . C ooper ati on i s e s s e n t i a l between v a r i o u s components o f Michigan to u r i s m in o r d e r f o r in fo r m a t io n t o flow f r e e l y ( F ri d g e n , 1982). Cooperation between t h e Michigan Department o f t h e T r e a s u r y , t h e Michigan Travel Bureau and Michigan S t a t e U n i v e r s i t y made t h e d a t a a v a i l a b l e f o r th is analysis. R es e ar ch e rs and d a t a accu mu la tor s must accommodate th o s e who would use t h e d a t a . Monitoring o f such d a t a as s a l e s t a x and use t a x d a t a i s p r a c t i c a l and a means o f p r o v i d i n g a measure o f performance. The major 19 b e n e f i t o f such measurement i s t h a t t h e i n d i c e s o f f e r t h e p o t e n t i a l t o a s s e s s co mp arati ve change on a c o n t i n u i n g b a s i s (Dawson, 1985). Using s t a t i s t i c s in t h e t o u r i s m i n d u s t r y f o r management and plan nin g i s r e l a t i v e l y new (BarOn, 1978). BarOn f u r t h e r p o i n t s ou t a v a r i e t y o f p o s s i b l e problems wit h t o u r i s m s t a t i s t i c s . Some o f t h e s e problems a r e : a. The d e f i n i t i o n o f t o u r i s m as compared w ith o t h e r r e c r e a t i o n a l and b u s i n e s s a c t i v i t i e s . b. The problems o f d e f i n i n g and measuring many o f t h e c o n c e p t s , e . g . t o u r i s m r e ve nu e, c o s t s and b e n e f i t s . t o u r i s t may buy an i n c l u s i v e (package) t o u r whose revenue i s s p l i t between c a r r i e r s , h o t e l s , t o u r s , a g e n t s , e t c . in s e v e r a l c o u n t r i e s . The c. The d i f f i c u l t i e s o f c o l l e c t i n g r e l i a b l e d a t a from i n d i v i d u a l s and e s t a b l i s h m e n t s and in drawing samples o f t o u r i s t s o r o f ho u s eh o ld s , t a k i n g i n t o account t h e g r e a t v a r i a b i l i t y between s t r a t a (some im p o r ta n t groups being r e l a t i v e l y s m al l) and c l u s t e r i n g , and in c o l l e c t i n g d a t a in a v a r i e t y o f la ngu age s and c u r r e n c i e s . d. The g r e a t volume i n v o lv e d , e . g . t h e l a r g e numbers o f t o u r i s t s c r o s s i n g t h e f r o n t i e r s and t h e t e n s o f th ous and s o f accommodation e s t a b l i s h m e n t s in many countries. e. Reduction o f documentation and f o r m a l i t i e s a t f r o n t i e r s t o f a c i l i t a t e t o u r i s m , r e du c in g t h e o f f i c i a l s t a t i s t i c s available. f. H ote ls and o t h e r o r g a n i z a t i o n s may be o b l i g e d t o r e p o r t , but i t may be v e ry d i f f i c u l t t o c o l l e c t s t a t i s t i c s from unorganized accommodation ( e . g . h o u s e - h o l d e r s who r e n t ou t rooms, o r from y o u n g s t e r s who camp o u t ) , o r from money-changers o u t s i d e t h e banking system. g. The g r e a t d e t a i l r e q u i r e d in t h e time domain (peak days) and space domains ( r e s o r t o f d e s t i n a t i o n , a r e a o f origin, routing). h. The e v a l u a t i o n o f n o n - t a n g i b l e c o s t s and b e n e f i t s t o t h e economy and t o t h e i n d i v i d u a l (with s p e c i a l r e f e r e n c e t o e c o l o g i c a l and s o c i o l o g i c a l a s p e c t s ) . i. The d i f f i c u l t i e s in comparing d a t a with th o s e f o r t h e same a r e a f o r p re v i o u s p e r i o d s o r f o r o t h e r c o u n t i e s , s t a t e s o r r e g i o n s , in view o f t h e c o n s i d e r a b l e 20 d i f f e r e n c e s in d e f i n i t i o n s , cover age and methods and t h e p r e v a i l i n g l a c k o f r e l i a b l e d a t a in many f i e l d s . j. A d m i n i s t r a t i v e s o u rc es may s a t i s f y t h e i n fo r m a t io n needs o f t h e government, e t c . but no t t a k e i n t o account research requirements. k. C o n s i s t e n t t i m e - s e r i e s , which p e rm it l o n g i t u d i n a l a n a l y s i s o f t h e d a t a f o r p a r t i c u l a r a r e a s , as well as t h e c r o s s - s e c t i o n a l ( l a t e r a l ) a n a l y s i s o f d a t a on in divid uals, areas or establishments for sp e c ific p e r i o d s surveyed, a r e d i f f i c u l t t o a c h ie v e . 1. N o n - s t a t i s t i c a l in f o r m a t io n i s a l s o im p o r ta n t. m. S t a t i s t i c s may be expen siv e t o c o l l e c t and p ro c e s s and t h e i r va lu e i s d i f f i c u l t t o e s t a b l i s h (and i s reduced by d e l a y s in p u b l i c a t i o n ) . T h e i r importance in e v a l u a t i n g major pla nnin g p r o j e c t s and a l t e r n a t i v e p l a n s in v o lv in g l a r g e inve st me nts i s o f t e n r e a l i z e d to o l a t e f o r adequ ate c u r r e n t and h i s t o r i c a l s t a t i s t i c s t o be prepared. n. For economy and speed i t i s f r e q u e n t l y n e c e s s a r y t o use sampling t e c h n i q u e s , r a t h e r tha n t o a tt e m p t t o c o l l e c t and p r o c e s s a l l d a t a r e q u i r e d on a 100% b a s i s . There a r e s p e c i a l problems in sampling to u r i s m phenomena and establishm ents. o. Tourism s t a t i s t i c s c u t a c r o s s t r a d i t i o n a l f i e l d s ( m i g r a t i o n , t r a n s p o r t , s e r v i c e s , p r i c e s , employment) and r e q u i r e v a r io u s advanced methodologies f o r comprehensive a n a l y s i s and forecasting. p. The s o u rc es o f n a t i o n a l and i n t e r n a t i o n a l to u r i s m s t a t i s t i c s a r e m u l t i - f o l d , w it h va ryi ng d e l a y s in publication. (BarOn, 1978) Problems o f p a r t i c u l a r n o t e , a r e t h e i s s u e s t h a t deal with r e l i a b i l i t y o f d a t a , i n c o m p a r a b i l i t y o f d a t a , r e s e a r c h r e q u ir e m e n ts f o r d a t a , c o n s i s t e n c y , expense and s o u rc es o f d a t a . As p o i n t e d out p r e v i o u s l y , government a g e n c ie s a re most o f t e n r e l i e d on t o p ro vi d e s t a t i s t i c s f o r use in t o u r i s m p la nnin g and management. I t i s because to u ri sm (and t h e t o u r i s t ) i s such a d i v e r s e a r e a o f th e 21 economy t h a t t h e r e i s a need f o r managers and p l a n n e r s t o obs erv e t r e n d s in to u r i s m p r e f e r e n c e s and b e h a v io r p a t t e r n s o ve r time ( P r o p s t and Abbey, 1981). To do t h i s e f f e c t i v e l y , t h e r e must e x i s t a q u a l i t y d a t a base f o r t h e s e i n d i v i d u a l s t o u s e. An o b j e c t i v e o f t h i s ty pe would r e q u i r e r e g u l a r l y g e n e r a t e d measurements o f key f a c t o r s o f t h e t o u r i s m i n d u s t r y and r e p o r t s o f t h e s e d a t a in a t i m e l y fa s h i o n as t r e n d i n fo r m a t io n (P ro p st and Abbey, 1981). Managers and to u r i s m p l a n n e r s may be c l a s s i f i e d i n t o t h r e e gro ups , i n c r e m e n t a l i s t s who g e n e r a l l y r e a c t t o e v e n t s i n s t e a d o f a n t i c i p a t i n g them, comprehensive c o n s u l t a n t s who base p la nn in g on i d e n t i f i e d g o a l s , f o r m u l a t i n g a l t e r n a t i v e c o u rs e s o f a c t i o n , f o r e c a s t i n g , and e v a l u a t i n g a l t e r n a t i v e s w i t h i n a changing en vironment, and t r e n d i d e n t i f i e r s who t y p i c a l l y mon itor changes over ti m e , e x t r a p o l a t i n g from t h e s e o b s e r v a t i o n s t o produce s h o r t range f o r e c a s t s on which t o base p la n n in g d e c i s i o n s ( S t y n e s , e t . a l . 1981). Trend i d e n t i f i c a t i o n i s based upon p a s t measurements o f r e l a t e d to u ri sm e v e n ts and p r e s e n t m on ito ri ng of t h e s e same v a r i a b l e s . Trend i d e n t i f i c a t i o n i s dependent upon r e l i a b l e and u s e f u l d a t a c o l l e c t e d in a c o n s i s t e n t manner ov er time (S tynes e t . a l . , 1981). These p la n n e r s and managers must be aware o f t h e t o t a l environment in which to u r i s m o p e r a t e s . The two major f a c t o r s t h a t have encouraged th e e x p l o s i v e development o f t o u r i s m have been time and money (Owen, 1980). The i n c r e a s e s in l e i s u r e time and d o l l a r s a v a i l a b l e f o r l e i s u r e a c t i v i t i e s a r e s i g n i f i c a n t f a c t o r s o f growth in t h e to u r i s m i n d u s t r y . Pl a nn e rs should a l s o remain aware o f t h e many o t h e r economic f a c t o r s impacting th e average t o u r i s t . Such f a c t o r s would i n c lu d e p o p u l a t i o n c h a r a c t e r i s t i c s , t h e r e l a t i o n s h i p between work and l e i s u r e , changing s o c i a l / c u l t u r a l r o l e s , 22 l i v i n g en vir onm en ts , and economic en vironments. P la n n e rs w i l l need t o be aware o f t h e tremendous s e a s o n a l i t y in Michigan, and a very marked "high s e a s o n ." D e t a i l e d s t u d i e s o f to u r i s m r e l a t e d tim e s e r i e s d a t a can p ro vid e a much f u l l e r u n d e r s t a n d i n g o f t h e sea so nal p a t t e r n s o p e r a t i n g and o f change which o c c u r r e d due t o t h e t r e n d s p r e v a i l i n g in t h e p a s t . I t a l s o e n a b le s c u r r e n t f l u c t u a t i o n s t o be i n t e r p r e t e d and p r o v id e s e x c e l l e n t t o o l s f o r s h o r t and medium-term f o r e c a s t i n g under v a r i o u s p o l i c y assumptions f o r t h e f u t u r e (BarOn, 1972). Stynes (1986) d i s c u s s e d t h e use o f county l e v e l d a t a and r e g i o n a l to u r i s m p l a n n i n g . He s t r e s s e d t h e importance o f s e a s o n a l i t y and t h e p o t e n t i a l problems o f us in g a g g re g at e d a t a . He p o i n t s out t h a t t h e i n d u s t r y needs d a t a d i s a g g r e g a t e d more by o r i g i n , d e s t i n a t i o n , p ro du c t type o r market segment, and by time and t h a t very l i t t l e sec ondary d a t a a r e a v a i l a b l e on a r e g u l a r b a s i s t h a t a r e a g g re g a te d a t t h e s e l e v e l s . This emphasizes t h e l a c k o f q u a l i t y d a t a and s o u r c e s . Some d a t a t h a t a re a v a i l a b l e a r e employment d a t a from t h e Michigan Employment S e c u r i t y Commission and s a l e s and use t a x d a t a a v a i l a b l e from t h e Michigan Department o f t h e T r e a s u r y . Examining t h e d i f f e r e n c e s a t t h e s t a t e l e v e l and a t t h e s u b - r e g i o n a l l e v e l , one might conclude t h a t what i s happening a t t h e s t a t e l e v e l may be no i n d i c a t i o n o f what i s happening in a p a r t i c u l a r re g io n ( S ty n e s , 1986). By examining t o u r i s m a t t h e county l e v e l one might be a b le t o deter mine to u r i s m dependence. Such ex amination may i n d i c a t e a need t o s t a b i l i z e employment in a county a n d / o r l i m i t f l u c t u a t i o n s (S ty n es , 1986). Stynes p o i n t s ou t t h a t u n d e r s t a n d i n g why some c o u n t i e s have one p a t t e r n and o t h e r c o u n t i e s have a n o t h e r w i l l c o n t r i b u t e to u ri sm management and plannin g d e c i s i o n s and t h e r e b y t h e l o c a l 23 economic s t r u c t u r e . I t i s a l s o im p o r ta n t f o r county l e v e l t o u r i s m p l a n n e r s and managers t o be aware o f o t h e r d a t a s o u r c e s . In s e l e c t i n g s o u rc e s o f i n f o r m a t i o n , e f f o r t s need t o be made t o emphasize prime d a t a , l i s t s o u rc e s which can be used t o l o c a t e more d e t a i l e d d a t a and have a l i s t o f s o u rc e s b r i e f enough t o be u t i l i z e d r a t h e r th a n f i l l e d (Goeldner, 1987). Examples o f t h e s e s o u rc es a r e pr ovi de d in t h e appendix (See Vol. 2, Appendix A). In t h e p u b l i c , p r i v a t e , and commercial s e c t o r , g r e a t e r t r e n d a n a l y s i s r e s e a r c h e f f o r t s can be made us in g d a t a which a r e a l r e a d y being c o l l e c t e d . Data are o f t e n c o l l e c t e d bu t n e v er analyzed (Godbey, 1985). A more s y s t e m a t i c a tt e m p t a t d a t a s t o r a g e and d i s s e m i n a t i o n i s needed f o r t h e s e data. Godbey s t a t e s t h a t t r e n d a n a l y s i s should be un de rs to od as a form o f a g g r e g a t i o n , t o reduce e r r o r s o f measurement and e s t a b l i s h a range o f g e n e r a l i z a t i o n (Godbey, 1985). To e x p l a i n a t r e n d i s t o e x p l a i n t h e d a t a o f t h e p a s t and p r e s e n t by means o f t h e o r i e s , about t h e p r o c e s s e s causing changes t o oc cu r ( P e t e r s o n , Lime and Anderson, 1980). The i n fo r m a t io n r e v e a l e d by t r e n d e x p l a n a t i o n o f t e n l e a d s t o a double s t r a t e g y which i n c l u d e s both m o d i f i c a t i o n o f u n d e r ly in g ca us e s o f t h e t r e n d s and t r e a t m e n t o f t h e systems o f t h e t r e n d i t s e l f ( P e t e r s o n , Lime and Anderson, 1980). As i n d i c a t e d e a r l i e r , d a t a a r e o f t e n c o l l e c t e d , but ne ver a na ly z e d. Since much sec on da ry d a t a a re r e l a t i v e l y e asy t o c o l l e c t , they can be used as in e x p e n s iv e complements t o a v a i l a b l e prim ary d a t a pro vi d i n g t h e means f o r f i l l i n g g a p s , f o r e c a s t i n g , o r merely i n c r e a s i n g t h e p r e c i s i o n o f an e x i s t i n g p a s t e s t i m a t e ( T y r r e l l , 1986). For d i f f e r e n t time i n t e r v a l s , d i f f e r e n t t y p e s o f secondary d a t a a r e most u s e f u l , between y e a r s and q u a r t e r s , measures o f economic a c t i v i t y in t o u r i s m - r e l a t e d 24 i n d u s t r i e s might c h a r a c t e r i z e l o c a l t r e n d s ( T y r r e l l , 1986). The u s e f u l n e s s o f t h e s e d a t a i s dependent on t h e m o n it o r in g o f t h e d a t a by t h e to u r i s m i n d u s t r y . tax data. Such a v a i l a b l e d a t a a r e s a l e s t a x and use Monitoring of t h e s e d a t a i s i n d i c a t i v e o f t h e need f o r a q u a n t i t a t i v e i n fo r m a t io n base f o r de cis io n -m ak in g (Chilman, 1986). Moni tor ing measurements emphasizes r e p l i c a t i o n a t time i n t e r v a l s t o document changes and t r e n d s t h a t may be o c c u r r i n g (Chilman, 1986). A s t u d y was conducted in Minnesota by t h e Duluth A t t r a c t i o n Cent ers Council and t h e Minnesota Sea Grant Extension Program t o c r e a t e t h e "Duluth and Northern Minnesota V i s i t o r S t a t i s t i c s A b s t r a c t " (Dawson, 1986). The o b j e c t i v e o f t h e s tu d y was t o develop a monthly s t a t i s t i c a l a b s t r a c t t o t r a c k changes in use a t t h e i r f a c i l i t y p l u s compare t h e i r t r e n d s with o t h e r i n d i c e s used in t h a t p a r t o f t h e s t a t e (Dawson, 1985). A s i m i l a r s tu d y could be conducted in Michigan fo c u s in g on s a l e s t a x and use t a x f o r s e l e c t e d t o u r i s m b u s i n e s s e s w i t h i n t h e e i g h t y - t h r e e c o u n t i e s o f Michigan. P r e s e n t l y , r e s e a r c h e r s a t t h e Michigan T r a v e l , Tourism, and R e c r e a t i o n Resource Center a t Michigan S t a t e U n i v e r s i t y a r e m o ni to r in g t o u r i s m a c t i v i t y in t h e s t a t e o f Michigan. R ese arc he rs t r a c k and r e g u l a r l y r e p o r t on t r a f f i c c o u n t s , o v e r n i g h t s t a y s in s t a t e p a r k s , a t t e n d a n c e a t s e l e c t e d a t t r a c t i o n s in t h e s t a t e and average p r e c i p i t a t i o n in t h e s t a t e . A d d i t i o n a l l y , r e s e a r c h e r s c o l l e c t and p u b l i s h d a t a from s t a t e a g e n c ie s co ncerning t o u r i s m b u s i n e s s in Michigan. There i s a l s o a n a t i o n a l m o ni to ri ng system o p e r a t e d by t h e U.S. Travel Data C en te r (U .S .T .D .C .) , which reviews t r a v e l p r i c e s , t r a v e l in d u stry r e c e i p t s , passenger tr a n s p o r ta t io n information, tra v e l 25 employment, w e athe r c o n d i t i o n s , accommodations use, and i n d i v i d u a l t r a v e l e r demographics. While t h i s n a t i o n a l i n fo r m a t io n i s use fu l as a r e f e r e n c e , i t s e r v e s only as i l l u m i n a t i o n t o r e g io n a l p l a n n e r s . In t h e s t a t i s t i c a l s e r v i c e s a r e a , t h e c e n t e r emphasizes t h e a na lyz ing o f t r a v e l e x p e n d i t u r e s , t h e a v a i l a b i l i t y o f a d a t a bank and th e development o f a p r e d i c t i v e model. As mentioned p r e v i o u s l y , t h e m a j o r i t y o f d a t a in t h i s s i t u a t i o n i s n a t i o n a l but c o o p e r a t i o n with t h e s t a t e s and l o c a l r e g i o n s could p ro v id e a more d i s a g g r e g a t e d d a t a sup ply . A r e g i o n a l / c o u n t y t r a c k i n g system s tu dy would de mo nst rat e an e d u c a t i o n a l / s e r v i c e p r o j e c t t h a t w i l l u t i l i z e secondary d a t a so ur c es v i a a r e p o r t o f p u b l i c a g e n c ie s t o produce a s t a t i s t i c a l a b s t r a c t o f t o u ri sm trends. This typ e o f s tu d y was conducted in Minnesota by Dawson, u t i l i z i n g tim e s e r i e s d a t a which in c lu d e d s a l e s t a x and s a l e s use d a t a (Dawson, 1985). The s t a t e o f Minnesota, in c o o p e r a t i o n with t h e United S t a t e s Department o f Commerce, worked t o g e t h e r t o help improve t h e s t a t e ' s economy. A major component o f t h i s c o o p e r a t i v e e f f o r t was t h e development o f a s t a t i s t i c a l a b s t r a c t us in g d a t a from ev ery d a t a - p r o d u c i n g agency a t t h e Department o f Commerce t h a t i s o f va lu e t o p o l i c y makers and economic p l a n n e r s (Lev in, 1987). Tourism was an obvious f a c t o r t o be c o n s i d e r e d . Such an a b s t r a c t f o r t h e s t a t e o f Michigan u t i l i z i n g county d a t a could be b e n e f i c i a l both f o r t h e i n d i v i d u a l c o u n t i e s and t h e s t a t e as a whole. Tourism s a l e s t a x and use t a x d a t a would l e n d thems elv es t o such an abstract. The c o l l e c t i o n and r e p o r t i n g o f t a x revenues f o r t h e s t a t e can be an im p o r ta n t so ur c e o f d a t a f o r to u r i s m p l a n n e r s and managers. The t a x e s to 26 be an alyzed would be s a l e s and use t a x e s f o r s e l e c t e d t o u r i s m b u s i n e s s . C o n c e p t u a l l y , t h e s e t a x e s a r e l e v i e d by t h e s t a t e f o r t h e p r i v i l e g e o f doing b u s i n e s s in Michigan. These d a t a a r e a l s o a v a i l a b l e in time s e r i e s for mat fo c u s i n g on h i s t o r i c a l p a t t e r n s as i n d i c a t o r s o f t h e f u t u r e . F u r t h e r e x p l a n a t i o n o f s a l e s and use t a x which fo ll ow s w i l l pr ovi de some indication of t h e i r usefulness. The time s e r i e s s a l e s t a x and use t a x d a t a a v a i l a b l e from t h e Michigan Department o f T r ea s ur y could pro vid e such a d a t a base. The u s e f u l n e s s o f such d a t a has been noted in o t h e r s t u d i e s , and Holecek in h i s r e p o r t "A Model o f M ic h i g a n 's Tourism System with I m p l i c a t i o n s f o r Research" u t i l i z e d s a l e s t a x c o l l e c t i o n s f o r a i r , marine, s p o r t i n g goods, and h o t e l s and motels t o i l l u s t r a t e t h e expanding Michigan to u ri sm industry. (Holecek, 1982). S a le s t a x and use t a x r e p r e s e n t t a x e s on t h e p r i v i l e g e o f doing b u s i n e s s in Michigan. More s p e c i f i c a l l y , s a l e s t a x i s imposed on a l l r e t a i l s a l e s in Michigan w h il e a use t a x i s imposed on p r o p e r t y used, s t o r e d , o r consumed in Michigan, which s p e c i f i c a l l y in c lu d e s t h e r e n t a l of h o t e l / m o t e l rooms (Michigan Department o f T r e a s u r y , 1986). c o n s i d e r e d someone who s e l l s goods t o t h e consumer. A r e t a i l e r is R e s t a u r a t e u r s a re a prime example o f r e t a i l e r s r e p r e s e n t i n g t h e to u r i s m i n d u s t r y . The s a l e s t a x i s l e v i e d on g r o s s proceeds from s a l e s o r r e n t a l ( o f t a n g i b l e p e rs on al p r o p e r t y ) . "Ta ng ib le , pe rs on al p r o p e r t y " means goods t h a t can be p os ses se d and exchanged with t h e e x c e p ti o n o f r e a l p r o p e r t y . All p r e p a r e d food and beverag es so ld by e a t i n g and d r i n k i n g p l a c e s a re s u b j e c t t o t h e s a l e s t a x ( S p o t t s & Sundstrom, 1987). The use t a x i s c o n s i d e r e d a complementary t a x t o t h e s a l e s t a x (Michigan Department of 27 Management and Budget, 1983). Room use t a x i s l e v i e d on t h e r e n t a l o f rooms as lo dg ing f u r n i s h e d by h o t e l k e e p e r s , motel o p e r a t o r s , and t h e pe rs on s f u r n i s h i n g accommodations t h a t a r e a v a i l a b l e t o t h e p u b l i c , on t h e b a s i s o f a commercial o r b u s in e s s e n t e r p r i s e , i r r e s p e c t i v e o f whether o r not membership i s r e q u i r e d f o r use. o f accommodations, e xce pt room o r lo dgi ng r e n t e d f o r a co n ti n u o u s p e r io d o f more than one month (Michigan Department o f T r e a s u r y , 1984). The c u r r e n t r a t e f o r both t h e s e t a x e s i s f o u r p e r c e n t . The Michigan Department o f t h e Tr ea s ur y p u b li s h e d an a n a l y s i s o f Michigan S a le s Tax which o u t l i n e s Michigan s a l e s t a x as reve nue . a n a l y s i s , t h e Department o f t h e T r ea s ur y examines the trendsof the revenues g e n e r a t e d f o r t h e s t a t e and segments t h e d a t a i n t o and s t a t e revenue by c o un ty . In t h i s i n d u s t r y type s Such i n f o r m a t i o n co uld prove very u s ef u l t o to u r i s m i n d u s t r y p l a n n e r s i f p r e s e n t e d c o r r e c t l y . The m on it o r in g o f s a l e s t a x and use t a x f o r s e l e c t e d to u r i s m i n d u s t r y b u s i n e s s e s could provid e major b e n e f i t s t o t h e i n d u s t r y t o a s s e s s co mparative changes on a continuing b a sis. Secondary d a t a s o u rc es such as s a l e s t a x and use t a x r e c o r d s f o r t o u ri sm b u s i n e s s e s o f f e r an im port an t so urc e o f in fo rm at io n f o r t r e n d and change asse ssm en t Although s a l e s t a x and use (Dawson, 1985). t a x d a t a a r e not an a b s o l u t e measure of t o u r i s m performance, th e y a r e a measure o f comp arative change. The Minnesota c a s e stu dy s u g g e s t s t h a t o t h e r r e g i o n s (such as Michigan) could develop a to u r i s m s t a t i s t i c a l a b s t r a c t t o m onito r l o c a l changes and tr e n d s f o r pl a n n in g and management f u n c t i o n s . C r e a t o r s o f such a b s t r a c t s should consider several basic f a c to r s : 1) a b i l i t y t o o b t a i n t h e secondary d a t a , 28 2) a b i l i t y t o o b t a i n s u s t a i n e d c o o p e r a t i o n from network o f p u b l i c agencies, 3) s u f f ic ie n t s t a f f resources. (Dawson, 1985). One conce ptu al framework f o r t h i s ty pe o f stu dy might be t h a t sec ondary d a t a so urc es a r e a l r e a d y m a int ai ned by p u b l i c a g e n c ie s f o r a v a r i e t y o f e d u c a t i o n a l , p l a n n i n g , management, and a d m i n i s t r a t i v e f u n c t i o n s b u t a r e o f t e n only compiled a n n u a ll y o r f o r s p e c i f i c r e p o r t s (Dawson, 1985). A s t a t i s t i c a l a b s t r a c t could be made a v a i l a b l e t o l o c a l , s t a t e , and r e g io n a l p l a n n e r s on a r e g u l a r b a s i s . This ty pe o f s t a t i s t i c a l a b s t r a c t could be developed and p ro vi de r e l i a b l e and v a l i d i n f o r m a t i o n as an ongoing d e c i s i o n making to o l (Dawson, 1985). Tourism o f f i c i a l s in most re g i o n s t o g e t h e r wit h t r a d i t i o n a l s t a t i s t i c g a t h e r i n g a g en c ie s have become more and more co nsci ou s o f t h e needs f o r r e l i a b l e and d e t a i l e d t o u r i s t d a t a by n a t i o n a l , r e g i o n a l and lo c a l governments and th o s e in t h e p r i v a t e s e c t o r (BarOn, 1978). s ugges te d t h e development o f a to u r i s m management i n f o r m a t i o n BarOn (1978) system t h a t would provid e t h e fo l l o w i n g : 1. Comprehensive b a s i c d a t a , c ov er in g t h e i m p o r ta n t t o p i c s o f supply and demand, as determined by t h e u s e r s o f t h e statistics. 2. I n t e g r a t e d i n f o r m a t i o n , t o g e t h e r with c u r r e n t a n a l y s i s and annual and o c c a s io n a l s t a t i s t i c a l and economic s t u d i e s , t a k i n g i n t o account to u ri sm t r e n d s from t h e s ou rc e c o u n t r i e s and t o and in o t h e r competing d e s t i n a t i o n s . The a n a l y s t s must be f a m i l i a r w it h a l l t h e r e l e v a n t d a t a and p ro vid e d i g e s t e d and u s e f u l i n fo r m a t io n t o p o li c y - m a k e r s . 3. Speedy d i s t r i b u t i o n o f in fo r m a t io n t o a l l co nce rn e d, in th e most a p p r o p r i a t e ways. 29 4. S e r i e s should be c o n s i s t e n t over time and with i n t e r n a t i o n a l d e f i n i t i o n s : changes in s e r i e s should pr o v id e a p p r o p r i a t e b r i d g i n g . 5. A n a l y s i s and m on ito ri ng o f t r e n d s and forward - o r i e n t e d d a t a (such as t h e a n t i c i p a t e d b u i l d i n g o f f a c i l i t i e s ) , t o a s s i s t f o r e c a s t i n g under a p p r o p r i a t e s c e n a r i o s and s t r a t e g i c and t a c t i c a l policy-m ak ing and c o n t r o l . 6. A d a p t a b i l i t y o f t h e system t o changes in c o n d i t i o n s and ne eds , i n c l u d i n g c o m p il a ti o n o f a d a t a - b a s e f o r a n t i c i p a t e d r e s e a r c h and p o l i c y - d e c i s i o n s . The b e n e f i t s from t h e i n fo r m a t io n system should be c o n s i d e r a b l e in view o f t h e r e l a t i v e l y low c o s t s o f most i n f o r m a t i o n and t h e l a r g e in v e s t m e n ts , o p p o r t u n i t i e s and r i s k s in p la n n in g and promoting to u r i s m . The method f o r m onit or ing d a t a in any such system would be based on t h e q u a l i t y o f t h e s e d a t a , t h e t o p i c , t h e so urc e o f t h e d a t a , and t h e fr eq u e n cy o f d a t a c o l l e c t i o n . In e v a l u a t i n g t h e c o r r e c t method f o r such a system, one would need t o c o n s i d e r s t o r a g e , p r e s e n t a t i o n , d i s s e m i n a t i o n , sp eed , c o s t - b e n e f i t and c o n f i d e n t i a l i t y c o n s i d e r a t i o n s f o r p r i v a t e businesses. Within any in f o r m a t io n system, one can view t o u r i s m as a p u b l i c (government) v e rs u s p r i v a t e system. For both o f t h e s e , t h e a v a i l a b i l i t y o f a c c u r a t e u p - t o - d a t e i n f o r m a t io n on which t o base pl a n n in g and c o n t r o l d e c i s i o n s i s v i t a l t o t h e s u cc e ss o f t h e management p r o c e s s . Since t h e s e d a t a a r e both c o s t l y and d i f f i c u l t t o g a t h e r , i t i s e s s e n t i a l t h a t t h e management o f i n fo r m a t io n needs t o be c l e a r l y unde rs too d a t a co nceptual and o p e r a t i o n a l l e v e l by both government to u r i s m p l a n n e r s and p r i v a t e t o u r i s m o p e r a t o r s ( R i t c h i e , 1979). A management i n fo r m a t io n system has as i t s fundamental purpose t o improve t h e q u a l i t y and e f f i c i e n c y o f managerial d e c i s i o n making ( R i t c h i e , 1979). The c o n s t r u c t i o n and use o f q u a l i t y secondary d a t a and s o u r c e s can be c o n s i d e r e d a management in f or m at io n system. Such a system d e a l i n g with 30 t h e county l e v e l t o u r i s m i n d u s t r y does no t e x i s t in Michigan. Ritchie (1979) d e s c r i b e d f i v e major dimensions t h a t need t o be c o n s i d e r e d in th e development o f such a system: 1. t h e l e v e l o f a g g r e g a t i o n a t which d e c i s i o n s a r e being made, 2. t h e i n d u s t r y s e c t o r inv ol ve d, 3. t h e s t a g e o f t h e management p r o c e s s , 4. t h e l e v e l o f managerial d e c i s i o n making w i t h i n t h e o r g a n i z a t i o n , 5. t h e f u n c t i o n a l n a t u r e o f t h e management t a s k . In c o n j u n c t i o n wit h t h e d i v e r s e d e f i n i t i o n s o f t o u r i s m , a d i v e r s e number o f b u s i n e s s e s r e q u i r e t h e system t o p r i o r i t i z e t h e i r needs by functional area. Based on a v a i l a b l e in fo r m a t io n in Michigan, one could r e c o g n i z e t h a t major t o u r i s m r e l a t e d b u s i n e s s e s p ro vid e t h e m a j o r i t y o f d a t a , i . e . , lo dging and food s e r v i c e s . One must a l s o be aware t h a t th e needs f o r i n f o r m a t i o n may be t h e same in some c a s e s f o r both t h e p u b l i c and t h e p r i v a t e s e c t o r e s p e c i a l l y a t th e county l e v e l . One w i l l f i n d t h a t a t t h e county l e v e l many o f t h e s e to u ri sm pl an nin g o f f i c i a l s (t o u r is m b o a rd s , room asse ssm en t d i s t r i c t s e t c . ) a r e a l s o p r i v a t e o p e r a t o r s . Anthony (1965) has c l e a r l y p o i n t e d out how t h e l e v e l o f management ( p u b l i c vs.p riv a te ) i n f l u e n c e s t h e l e v e l o f d e c i s i o n making c h a r a c t e r i s t i c s o f t h e d a t a used by each l e v e l . p r o c e s s e s and the These d i f f e r e n c e s could be c a t e g o r i z e d as s t r a t e g i c management, c o n t r o l and t a c t i c a l p la nn in g and o p e r a t i o n a l p la n ni n g and c o n t r o l ( R i t c h i e , 1979). The c h a r a c t e r i s t i c s o f t h e d a t a needed f o r each f u n c t i o n d i f f e r in l e v e l s o f a c c u ra c y , p r e c i s i o n , r e p e t i t i v e and c u r r e n t ne eds . A c oncep tua l framework f o r such a system concerned with a q u a l i t y county l e v e l d a t a base has been pro vided usin g a form u t i l i z e d by K o t l e r in 1976 and 1980 as a m a rk e tin g i n f o r m a t i o n system d e a l i n g with d a t a flow and an adapted format u t i l i z e d by R i t c h i e in 1979. This framework d e a l s w ith t h e I n t e r n a l I n t e l l i g e n c e System ( I I S ) ( c o l l e c t i o n , s t o r a g e , r e t r i e v a l ) , t h e Ex te rn a l I n t e l l i g e n c e System ( s i m i l a r t o IIS w i t h i n t h e e nv iro nm e nt ), t h e Management and P la n n e r Research System ( e x e c u t i o n of s p e c i f i c s t u d i e s , perhaps i n - d e p t h a n a l y s i s ) and t h e Management and Planning Science System (model development, p r o d u c t i o n , c o n t r o l e f f o r t s ) . R i t c h i e (1979) noted t h a t a l l segments o f such a system may have d a t a u s ef u l to a l l l e v e l s o f managers and p l a n n e r s . The focu s o f t h i s r e p o r t ' s d i s c u s s i o n examines t h e p u b l i c l e v e l which r e p r e s e n t s t h e cou nty and l o c a l l e v e l to u ri sm p l a n n e r s and managers and t h e p r i v a t e l e v e l which r e p r e s e n t s i n d i v i d u a l to u r i s m o p e r a t o r s and p l a n n e r s . different. T h e i r d a t a needs a r e very I f t h e c o u n t i e s could be pr ovide d a q u a l i t y d a t a base, l o c a l o p e r a t o r s may be a b l e t o a s c e r t a i n what t h e i r "market s h ar e" o f t h e i r p a r t i c u l a r b u s i n e s s t h e y might c a p t u r e . To p r o p e r l y do t h i s , t h e d a t a used by t h e c o u n t i e s need t o be e x p la i n e d and c a r e f u l l y e v a l u a t e d in terms o f l i m i t a t i o n s and u s e f u l n e s s . At t h e p u b l i c l e v e l , i t i s en vi sa ge d t h a t i n f o r m a t io n i s most a p p r o p r i a t e l y s t r u c t u r e d a cc o rd in g t o t h e major s e c t o r s o f to u ri sm s i n c e t h i s te n d s t o be t h e b a s i s on which t o u r i s m pl a n n in g and development i s c a r r i e d out ( R i t c h i e , 1979). The p r a c t i c a l implementation o f such a system would r e q u i r e c o n s i d e r a t i o n o f : 1) speed o f development and implementation o f t h e system, 2) c o o r d i n a t i o n o f t h e u s e r s and th o s e p a r t i c i p a t i n g in t h e system, 3) d e c i s i o n s c once rn in g c e n t r a l i z a t i o n and d e c e n t r a l i z a t i o n , 4) a l t e r n a t i v e systems, and 5) t h e human e lem en t. Michigan , c o o r d i n a t i o n could be e s t a b l i s h e d between c o u n t i e s , s t a t e In 32 government, d a t a c o l l e c t i o n a g e n c i e s , and t h e Michigan T r a v e l , Tourism and R e c r e a t i o n Resources C e n t e r . These e n t i t i e s could be t h e beginning framework f o r such a system. The major f a c t o r invol ve d w i l l be t h e q u a l i t y and u s e f u l n e s s o f t h e d a t a . sharing of c o sts . Another major c o n s i d e r a t i o n i s a In t h i s a r e a , t h e n e g o t i a b l e p o i n t w i l l be t h e p e r c e n t a g e o f d a t a t h a t i s u s a b l e by each segment o f t h e system. In a cco rda nce wit h t h e c o s t i s s u e , e a s e o f a c c e ss t o t h e d a t a w i l l need t o be an i n t e g r a l p a r t o f t h i s d a t a system. R i t c h i e (1979) d i s c u s s e d t h e co ncept o f m o d u la r it y as proposed by Davis (1974). M od ula r ity i s t h e d e si g n o f an in f o r m a t io n system as a small number o f modules. Each module c o n t a i n i n g a well d e f i n e d and ind ep end en t segment o f d a t a which can be used in a s i n g l e a p p l i c a t i o n or used in c o n j u n c t i o n wit h o t h e r modules. This model allo w s f o r both a g g r e g a t e and d e s e g r e g a t e in f o r m a t io n needs. This model i s a l s o a p p l i c a b l e t o e a s i l y o b t a i n a b l e d a t a d i s c u s s e d e a r l i e r ; lo dgi ng and food service data. These d a t a a r e pre dom ina ntl y u s ef u l t o t h e h o s p i t a l i t y i n d u s t r y segment o f t o u r i s m but a r e u s ef u l barometers f o r t h e t o t a l tourism in d u stry . The need f o r p r o p e r management o f an i n fo r m a t io n system i s e x e m p l i f i e d by q u a l i t y t o u r i s m development. McDonough and Ackert (1980) p o i n t out t h a t v i s i t o r s se e communication as a whole and a communication i n f o r m a t i o n system may e f f e c t t h i s image. A l o c a l committee might be e s t a b l i s h e d t o manage t h e to u r i s m management in f o r m a t io n system (TMIS). The c o n t r o l should be what i n f o r m a t io n i s used and how i t i s d i s t r i b u t e d (McDonough and A c k e rt , 1980). Lees (1987) p o i n t e d o u t t h a t an i n fo r m a t io n system w i l l be more 33 l i k e l y t o succeed i f : 1. The o r g a n i z a t i o n in vo lv e d i s mature in terms o f i d e n t i f y i n g ne ed s , e v a l u a t i n g s o l u t i o n s and c o n t r o l o f resources. 2. The system s t r e s s e s u s e r involvement. 3. I n t e r n a l and e x t e r n a l r e s o u r c e s a re e x p l o r e d . 4. There a r e p o s i t i v e u s e r a t t i t u d e s c o nc ernin g t h e need f o r t h e system, and 5. The e x t e r n a l b u s i n e s s ( to u r is m ) environment i s a c c e p t i n g o f t h e system. (Lees, 1987) Fur therm ore , a c h e c k l i s t f o r system e f f e c t i v e n e s s f o r c o u n t i e s is o f f e r e d by Gordon (1987): 1. Tourism o r g a n i z a t i o n o b j e c t i v e s a re known in terms o f p r o d u c t s , markets and s t r u c t u r e . 2. What r e p o r t s w i l l be produced, how o f t e n and who r e c e i v e s and p r e p a r e s them. 3. P r e s e n t a t i o n o f r e p o r t s and t h e i r e f f e c t i v e n e s s . 4. T i m e li n e s s and a cc u ra cy o f in f o r m a t io n . 5. Readability. 6. C o n s is te n c y . 7. V erifiability. 8. Traceability. 9. F lexibility. (Gordon, 1987) To p r e p a r e f o r t h e development and even tua l implementation o f such systems in a broad range o f r e g i o n s , t h e i n d u s t r y w i l l need t o examine a number o f i s s u e s . R i t c h i e , in 1979, o u t l i n e d a v a r i e t y o f i s s u e s t h a t he b e l i e v e d r e q u i r e d a t t e n t i o n t o e n ab le one t o develop such a system. These 34 issues are: 1. as in any de vel opin g f i e l d , t h e r e i s f i r s t a need f o r s e v e r a l d e s c r i p t i v e s t u d i e s which i d e n t i f y and c l a s s i f y t h e i n f o r m a t io n needs o f to u r i s m managers a t both t h e macro and micro l e v e l s . The r e s u l t s o f t h e s e s t u d i e s would be used t o modify and improve t h e c on ce pt ua l framework on which t o base t o u r i s m management i n f o r m a t io n system development. 2. give n t h e s t r o n g in te rd e p en d e n c e between t h e p r i v a t e and p u b l i c s e c t o r s in t o u r i s m , t h e r e i s a need f o r e x t e n s i v e stu dy o f t h e i n t e r f a c e between them w it h r e s p e c t t o in fo r m a t io n supp ly and demand. The o b j e c t i v e s o f such r e s e a r c h would be t o e s t a b l i s h a c c e p t a b l e g u i d e l i n e s with r e s p e c t t o t h e o b l i g a t i o n s and r e s p o n s i b i l i t i e s o f each s e c t o r conce rni ng t h e c o l l e c t i o n , s t o r a g e , r e t r i e v a l and use o f in fo r m a t io n f o r a TMIS. 3. s t u d i e s a re r e q u i r e d which would f u r n i s h g u i d e l i n e s con cer nin g t h e s t r u c t u r e and c o n t e n t o f TMIS which i s a p p r o p r i a t e f o r c o u n t r i e s having d i f f e r e n t characteristics. I t i s pr ob a b le t h a t such f a c t o r s as s i z e , s t a g e o f development and p o l i t i c a l system w i l l i n f l u e n c e t h e ty p e o f TMIS which should be d e v el op e d. 4. g r e a t e r u n d e rs ta n d in g i s r e q u i r e d c on ce rn in g t h e importance o f d i f f e r e n t b a r r i e r s t o t h e development and implementation o f a TMIS. While t h e l i t e r a t u r e from o t h e r f i e l d s o f management i s a u s ef u l p o i n t o f r e f e r e n c e in t h i s r e g a r d , t h e s u b j e c t needs t o be s y s t e m a t i c a l l y and e x t e n s i v e l y examined w i t h i n t h e s p e c i f i c c o n t e x t o f to u ri sm . 5. e v a l u a t i v e r e s e a r c h i s r e q u i r e d with r e s p e c t t o t h e c o n t r i b u t i o n t o improved to u ri sm management by any TMIS which has o r may be e s t a b l i s h e d . Such r e s e a r c h can s e r v e as a us ef ul guide f o r i d e n t i f y i n g t h e r e a s o n s f o r both th e s u c c e s s e s and f a i l u r e s o f TMIS development. 6. t h e r e i s a c o n s t a n t need t o mon itor and a s s e s s t h e impacts which r a p i d l y changing te ch no lo g y may b r i n g about on both t h e hardware and s o f tw a r e a v a i l a b l e f o r use in TMIS development. S t u d i e s a r e r e q u i r e d t o i n d i c a t e t h e e x t e n t t o which t h e d e si g n o f a TMIS should be kept f l e x i b l e ( a t t h e r i s k o f i n e f f i c i e n c y ) as opposed t o being r i g o r o u s l y d e f i n e d ( a t t h e r i s k o f e a rly obsolescence). (Ritchie, 1979). 35 To e v a l u a t e t h e s e i s s u e s , one could s t a t e t h a t t h e number o f d e s c r i p t i v e s t u d i e s has i n c r e a s e d over t h e p a s t nin e y e a r s . The knowledge o f what t y p e s o f i n f o r m a t i o n t o c o l l e c t has a l s o i n c r e a s e d . The i n t e r f a c i n g o f t h e p u b l i c and p r i v a t e s e c t o r has improved as evidenced by t h e v a r i e t y and de pth o f t o u r i s m c o n f e r e n c e s and t h e number and d i v e r s i t y of attendees. A d d i t i o n a l l y , the ,numb er o f a g e n c ie s and i n s t i t u t e s d e a l i n g s o l e l y with t o u r i s m i s s u e s has s t e a d i l y i n c r e a s e d . E f f o r t s in t h e a r e a o f to u ri sm t r e n d s a n a l y s i s and d a t a m o n it o r in g have in c r e a s e d s u b s t a n t i a l l y . One obvious example i s t h e Michigan T r a v e l , Tourism and R ec re a ti o n Resource C en t er a t Michigan S t a t e U n i v e r s i t y . O v e r a l l , t h e e f f o r t s towards t h e e s t a b l i s h m e n t o f some form o f in fo r m a t io n system have l e a d t o t h e development o f a v a r i e t y o f d i f f e r i n g t y p e s o f systems t h a t deal w it h e q u a l l y d i v e r s e ty p e s o f d a t a . The c e n t r a l i s s u e s become a c c e s s t o t h e d a t a and t h e q u a l i t y o f t h e d a t a . The focus o f t h i s s tu dy w i l l be on an ex amination o f t h e s e i s s u e s f o r county l e v e l to u r i s m p l a n n e r s and managers. The d a t a t o be examined a r e not p e r f e c t , but r e p r e s e n t q u a l i f i e d to u r i s m i n d i c a t o r s . secondary in n a t u r e and a c c e s s i b l e . The d a t a a re This stu dy w i l l examine s a l e s and use t a x d a t a in a d d i t i o n t o o t h e r secondary d a t a made a v a i l a b l e from d i f f e r e n t segments o f t h e proposed management i n f o r m a t i o n c e n t e r . Chorly and Hagget (1967) p o i n t o u t t h a t a m o d e l' s main f u n c t i o n can be a c q u i s i t i v e , t h a t i s a framework f o r d e f i n i n g , c o l l e c t i n g and o r d e r i n g in f o r m a t i o n . This type o f a model w i l l d i s p l a y t h e uses o f d a t a and a s s i s t in t h e o v e r a l l pla nn in g p r o c e s s . H o p e fu ll y , t h i s t y p e o f model and system w i l l e nab le to u r i s m managers and p l a n n e r s t o s h i f t from t h e p r e o c c u p a ti o n with 36 development and economic impacts t o a more ba lan ce d approach in which r e s e a r c h , modeling and g o a l - s e t t i n g d i r e c t l y complement a l l development pla n s (Getz, 1985). Those in need o f t h e d a t a f o r t o u r i s m p la nn in g and d e c i s i o n s should s t r i v e f o r a system t h a t i s a c r o s s between a) what they t h i n k th e y need, b) what th e y r e a l l y need, and c) what i s econo mi cal ly f e a s i b l e ( K o t l e r , 1980). The problem being s t u d i e d h e r e : t h e u t i l i z a t i o n o f Michigan secondary d a t a s o u r c e s , w i l l be examined usin g t h i s model as a conceptual framework f o r t h e s tu d y . All s o u rc e s i n d i c a t e t h e need f o r q u a l i t y d a t a . This s tu dy w i l l examine an u n d e r - u t i l i z e d so u rc e o f t o u r i s m d a t a and e v a l u a t e t h e l i m i t a t i o n s o f t h e d a t a and t h e d a t a u s e f u l n e s s in t h e system. Lees (1987) concludes t h a t t h e c o n s i d e r a t i o n o f f u t u r e b u s i n e s s needs i s more im p o r ta n t tha n o t h e r a s p e c t s o f system a n a l y s i s and design and t h a t t h e c r i t i c a l i s s u e i s no t whe the r t o i n v o lv e u s e r s in a n a l y s i s and de si gn but how t o do so. CHAPTER 3 DATA SELECTION The t r a v e l and to u r i s m i n d u s t r y in Michigan i s expanding, in s t e p w it h t r a v e l and t o u r i s m t h r o u g h o u t t h e n a t i o n . For t h e f i f t h y e a r in a row (19 86 ), t o t a l s a l e s o f primary t r a v e l - r e l a t e d b u s i n e s s e s grew f a s t e r th a n t h e n a t i o n ' s t o t a l o u t p u t in c u r r e n t d o l l a r s ( F r e c h t l i n g , 1986). Such b u s i n e s s e s a re a s s o c i a t e d with p u b l i c t r a n s p o r t a t i o n , h o t e l s / m o t e l s , e a t i n g and d r i n k i n g p l a c e s , and amusement and r e c r e a t i o n s e r v i c e s . The e a t i n g and d r i n k i n g p l a c e s and t h e amusement and r e c r e a t i o n s e r v i c e s b u s i n e s s e s in c l u d e s i g n i f i c a n t amounts o f b u s i n e s s g e n e r a t e d by lo c al r e s i d e n t s r a t h e r than t r a v e l e r s ( F r e c h t l i n g , 1986). These b u s in e s s e s y i e l d a s te a d y flow of f i g u r e s t h a t a re monitored by v a r i o u s to uri sm i n d u s t r y segments. The t o u r i s m i n d u s t r y needs t o have a s te a d y c o l l e c t i o n o f d a t a t h a t i t can u t i l i z e in i t s plann in g e f f o r t s . i n d u s t r y t r e n d s g i v e s us such a c o l l e c t i o n o f d a t a . c o l l e c t and g i v e us such a c o l l e c t i o n o f d a t a . The t r a c k i n g o f Various groups Various groups c o l l e c t and m oni tor t r e n d s , from t h e s t a t e government t o t h e f e d e r a l government t o the U.S. Travel Data C en te r (U .S . T .D .C .) . Many to u r i s m r e l a t e d b u s i n e s s c l a s s i f i c a t i o n s a r e monitored on a n a t i o n a l b a s i s and would be o f l i t t l e use a t t h e re g i o n a l o r l o c a l l e v e l . Lodging and food s e r v i c e b u s i n e s s s t a t i s t i c s , however, a r e good i n d i c a t o r s o f t r a v e l g e n e r a t e d b u s i n e s s and a re used by almost a l l a g e n c ie s t o i l l u s t r a t e s t a t u s o f t o u r i s m in t h e i r a r e a . Food s e r v i c e and lodging b u s i n e s s s t a t i s t i c s can a l s o be e a s i e r t o t r a c k than auto t r a n s p o r t a t i o n and p u b l i c t r a n s p o r t a t i o n . They a l s o r e p r e s e n t a s i g n i f i c a n t p o r t i o n of t h e t o u r i s t i n d u s t r y in terms o f s a l e s , em plo ym en t.c reat ed , and t a x 37 38 g e n e r a t e d f o r t h e l o c a l , s t a t e , and f e d e r a l l e v e l s . Michigan to u r i s m might be r e f l e c t i v e o f t h e n a t i o n in t h e s e r e s p e c t s and could g e n e r a t e s t a t i s t i c s in t h e s e a r e a s f o r use thro ug ho ut t h e s t a t e on a county t o county b a s i s . The s t a t i s t i c s could then be compared t o n a t i o n a l and statewide s t a t i s t i c s . In t o u ri sm r e s e a r c h , we c o n s t a n t l y ask t h e b a s i c t r a v e l q u e s t i o n s such as Why?, When?, What?, Who?, Where? and How? In t h e s e l e c t i o n o f v a r i a b l e s f o r a n a l y s i s in t h i s s tu d y , t h e major i s s u e s examined w i l l be Where? and How? To e f f e c t i v e l y do t h i s , one must examine to u r i s m v a r i a b l e s t h a t deal with t h e s e i s s u e s . them The p e r s p e c t i v e f o r d e a l i n g with i s t h a t o f t h e h o s p i t a l i t y (lod gi ng and food s e r v i c e ) segment o f th e industry. In almost ev ery d i s c u s s i o n o f q u a l i t y t o u r i s m d a t a , one f i n d s accommodations use as a major component. This v a r i a b l e as a to u ri sm p r e d i c t o r to o l i s p r e s e n t l y and has been h i s t o r i c a l l y s e l e c t e d as a to u r i s m i n d i c a t o r o r measure o f to u ri sm performance by t h e v - s t m a j o r i t y o f to u r i s m a c t i v i t y s t u d i e s . Room s a l e s a r e i n f l u e n c e d by s h i f t i n g r a t e s and t h e number o f occup an ts (Holecek, SI ana, Ve rbyla, 1983). Holecek e t al (1983) i n d i c a t e t h a t t h e b e s t a v a i l a b l e v a r i a b l e t o u t i l i z e in an a n a l y s i s o f to u r i s m a r e h o t e l / m o t e l s a l e s and use t a x r e c e i p t s . The Holecek (1983) s tu dy a l s o i n d i c a t e d a s t r o n g c o r r e l a t i o n between h o t e l / m o t e l s a l e s and use t a x and o t h e r t o u r i s m v a r i a b l e s such as Mackinac Bridge c r o s s i n g , campground us e, day use o f t h e s t a t e p a r k s , t r a v e l in f o r m a t io n c e n t e r v i s i t o r co unts and v a r i o u s t r a f f i c co unts (Strong c o r r e l a t i o n i n d i c a t o r R = .78 o r above). The economic flows w i t h i n t h e lo d g in g i n d u s t r y can be monitored from o b s e r v in g room use and o t h e r s a l e s 39 t a x e s c o l l e c t e d by t h e s t a t e and r e p o r t e d by t h e Michigan Department o f Treasury. I n t e n s i v e st u dy in t h i s a r e a i n d i c a t e d t h a t t h e g r e a t e s t r e t u r n s from a d d i t i o n a l r e s e a r c h and development in v e st m e n t in t r a v e l m o n it o r in g system development l i e in t h e lo dg in g i n d u s t r y . No o t h e r s i n g l e i n d u s t r y i s more c l o s e l y t i e d t o t h e t r a v e l e r p r o v i d i n g s e r v i c e s both t o o v e r n i g h t g u e s t s and t o t r a n s i e n t s ( e . g . meals) (Holecek e t a l , 1983). I t i s a d i s t i n c t s e c t o r in Michigan Department o f T r e a s u ry t a x c o l l e c t i o n r e p o r t s , and because o f a l a r g e number o f p r o p e r t i e s involved in each county t h e r e i s l i t t l e r i s k t o i n d i v i d u a l p r o p e r t i e s a s s o c i a t e d with p u b l i s h i n g county l e v e l lo dging s t a t i s t i c s (Holecek, e t a l , 1983). From a c o s t e f f e c t i v e n e s s and s t a t i s t i c a l r e l i a b i l i t y p e r s p e c t i v e , i t seems j u s t i f i a b l e t o c o n c e n t r a t e a t r a v e l m onit or in g system on improved m o n it o r in g o f the lo dging i n d u s t r y (Holecek, 1983). Choy (1985), su gg est ed t h a t t h e performances o f t h e h o te l i n d u s t r y can be used as an i n d i c a t o r o f g en er al t r e n d s in t r a v e l and t o u ri sm re la ted a c t i v i t i e s for a p a r tic u la r area. Conse que ntl y, t h e r e i s c o n s i d e r a b l e i n t e r e s t in t h e l e v e l o f h o t e l - i n d u s t r y performance from th e s t a n d p o i n t no t only o f ho te l managers and i n v e s t o r s bu t a l s o o f o t h e r t r a v e l h o s p i t a l i t y managers. One can note t h a t s t u d i e s such as t h e Michigan Travel A c t i v i t y Report c o n s i s t e n t l y in c l u d e lo dgi ng d a t a . The U.S.T.D.C. g i v e h o t e l / m o t e l lo dg in g an i n d i v i d u a l c a t e g o r y in t h e n a t i o n a l t r a v e l r e v e n u e s , in c l u d i n g h o t e l / m o t e l usage and i n d i v i d u a l demographics. For t h e purpose o f t h i s stu dy lo dg ing w i l l mean h o t e l s , mote ls and t o u r i s t c o u r t s under b u s i n e s s c l a s s i f i c a t i o n code 701. M ic h i g a n ' s g e og ra ph ic and economic d i v e r s i t y have give n r i s e t o an e x c e p t i o n a l l y 40 broad ran ge o f lo d g in g o p p o r t u n i t i e s (Reardon & S p o t t s In S p o t t s (Ed.) 1986). Accommodations in Michigan have a wide range t o s e r v e a d i v e r s e clientele. Approximately t h i r t y p e r c e n t o f th o s e t r a v e l i n g in Michigan u t i l i z e h o t e l s , m o t e l s , e t c . ( S p o t t s , 1986). Lodging r e p r e s e n t s a p p ro x im a te ly e i g h t e e n p e r c e n t o f t o t a l dome stic t r a v e l e x p e n d i t u r e and r e p r e s e n t s a pp ro x im a te ly th e ,sa m e p e r c e n t a g e in terms o f t r a v e l g e n e r a te d employment in Michigan ( S p o t t s , 1986). All t h e s e f a c t o r s i n d i c a t e th e need f o r i n c l u d i n g lo dgin g f a c i l i t i e s d a t a in any s t u d y . The second major c a t e g o r y t h a t w i l l be examined in v o lv e s t h e food service industry. Food s e r v i c e away from home i s e s s e n t i a l to to ur is m (Olson and Blank, 1987). As an example Olson and Blank e s t i m a t e t h a t a t l e a s t t h i r t y p e r c e n t o f food s e r v i c e s a l e s o v e r a l l can be a t t r i b u t e d t o tourists. The food s e r v i c e p r o p e r t i e s w ill d i f f e r in each s t a t e in each county and community. In communities having a mixed economic b a se , a major p a r t o f t h e food s e r v i c e i n d u s t r y can be c o n s i d e r e d " i n d u s t r y s u p p o rt " (Olson and Blank, 1987). to u r i s m . R e s t a u r a n t s p r o v id e a complex ou tp u t in In a d d i t i o n t o food and beverage away from home, t h e y p ro vi de c on ve ni e nc e, communication s e t t i n g s , and a wide v a r i e t y o f o u t p u t s c o n t r i b u t i n g t o q u a l i t y (Olson and Blank, 1987). The food s e r v i c e i n d u s t r y now p r o v i d e s o n e - t h i r d o f t h e meals e a t e n in t h e Untied S t a t e s . This no t o nly i n d i c a t e s growth in o u tp u t bu t a l s o i n d i c a t e s a growing employment p a t t e r n . The food s e r v i c e i n d u s t r y can be th o u g h t o f as commercial e a t i n g f a c i l i t i e s . Which f o r t h e purp os e s o f t h i s s tu dy w i l l i n c l u d e t h e f o l l o w i n g b u s i n e s s c l a s s i f i c a t i o n codes as pro vi de d by th e Michigan Department o f T r e a s u ry : 41 Codes Bu sin es ses 581, 582, 583 Taverns wit h b e e r , wine, l i q u o r and (food as an i n c i d e n t a l ) . 585 Family r e s t a u r a n t s and c a f e t e r i a s 586 Lunch c o u n t e r s , d a i r y b a r s , f a s t food restaurants ( S p o t t s , 1986). M ic h i g a n ' s e a t i n g and d r i n k i n g p l a c e s a r e an im po rt an t component o f t h e s t a t e ' s t r a v e l i n d u s t r y employing ove r 180,000 i n d i v i d u a l s with an annual p a y r o l l o f g r e a t e r than one b i l l i o n d o l l a r s ( S p o t t s , 1986). Additionally, w ith t h e growth o f t h e s e r v i c e i n d u s t r y in t h e economy, t h e food s e r v i c e s e c t o r w i l l r e p r e s e n t an i n c r e a s i n g l y im po rt an t component o f t h e t r a v e l industry. Another s e c t o r t h a t w i l l be examined in a more g e ner al t o p i c w i l l be s p o r t i n g goods which under Michigan Department o f t h e T r ea s ur y Business Code 595 i n c l u d e s : s p o r t i n g goods s t o r e s , in c l u d i n g camping equipment, b i c y c l e s , small arms, ammunition, t a c k s u p p l i e s ( S p o t t s , 1986). Michigan i s a major r e c r e a t i o n a l s t a t e and in t h a t sens e r e c r e a t i o n s a l e s ( i . e . equipment, e t c . ) encompass b o a t i n g , f i s h i n g , h u n t i n g , w i n t e r s p o r t s and golf f a c i l i t i e s , each o f t h e s e r e c r e a t i o n a l a c t i v i t i e s r e p r e s e n t s a major segment o f to u r i s m o r i e n t e d b u s i n e s s . M ic hig an 's s t a t e park system r e c e i v e s ov er twenty m i l l i o n v i s i t o r s a n n u a l l y ; t h e r e a r e more r e g i s t e r e d b o a t s in Michigan than any o t h e r s t a t e in t h e n a t i o n ; t h e s t a t e i s f i f t h in terms of a n g l e r - d a y s n a t i o n a l l y ; and ove r ni n e hundred thousand hu nti ng l i c e n s e s a re is s u e d each y e a r ( S p o t t s , 1986). One can ext end t h e s e f i g u r e s by adding up l i c e n s e s , e t c . t o q u a n t i f y t h e importance o f t h e s e r e c r e a t i o n a l a c t i v i t i e s in t h e s t a t e . While not a l l a c t i v i t i e s can be 42 c a r r i e d ou t in a l l c o u n t i e s , p a r t i c i p a n t s in each a c t i v i t y a r e from a l l a c r o s s t h e s t a t e and from o u t o f s t a t e . One way t o measure t h i s a s p e c t o f t h e i n d u s t r y i s t o examine s p o r t i n g good s a l e s t a x . This v a r i a b l e i n c l u d e s n o n -t o u r is m r e l a t e d goods, but a l s o in c l u d e s a major amount o f ' t o u r i s m o r i e n t e d r e c r e a t i o n a l it e m s . In a d d i t i o n t o t h e s e t o u r i s m r e l a t e d b u s i n e s s e s , two o t h e r v a r i a b l e s were s e l e c t e d t o be a n a ly z e d . The v a r i a b l e s chosen were men's and b o y ' s c l o t h i n g and women's c l o t h i n g , b r i d a l , l i n g e r i e , e t c . ( b u s i n e s s codes 561, 562 r e s p e c t i v e l y ) . While t h e s e a r e not s p e c i f i c a l l y to u r i s m v a r i a b l e s , t h e y a r e r e l a t e d in t h e sens e t h a t shopping as a to u ri sm a c t i v i t y has i n c r e a s e d in t h e p a s t t e n y e a r s . General r e t a i l t r a d e as a segment o f U.S. t r a v e l g e n e r a t e s a pp ro xim a te ly f i v e p e r c e n t o f t h e t o t a l t r a v e l generated p a y ro ll. Thus, i t s c o n t r i b u t i o n as a v a r i a b l e could i l l u s t r a t e new t o u r i s m t r e n d s f o r t h e a r e a s s t u d i e d . In each v a r i a b l e one can examine t h e a c t i v i t y o f t h a t b u s i n e s s in each county t h u s o f f e r i n g a good base f o r comparison o f c o u n t i e s and id e n tify in g d iv e r s ity within the s t a t e . Thus, t h e u t i l i z a t i o n o f h o s p i t a l i t y d a t a and o t h e r complimentary i n d i c a t o r s w i l l e nab le one t o examine secondary t o u r i s m d a t a in Michigan. In a d d i t i o n t o t h e s e t o u r i s m revenue r e l a t e d v a r i a b l e s , p o p u l a t i o n w i l l a l s o be inc lu de d as a v a r i a b l e . I t s i n c l u s i o n w i l l allow an ex am in at io n o f t h e r e l a t i o n s h i p between to u r i s m v a r i a b l e s and t h e lo c al population. In a l a t e r p a r t o f t h i s a n a l y s i s , a d d i t i o n a l d a t a w i l l be examined in c o n j u n c t i o n wit h t h e p r e v i o u s l y d i s c u s s e d d a t a . These d a t a were provided by t h e Michigan Travel Bureau from a r e c e n t s tu dy conducted by USTDC and 43 p r e s e n t y e t a n o t h e r so urc e o f d a t a t o e v a l u a t e in t h i s s tu d y . These d a t a w i l l be compared t o use and s a l e s t a x d a t a t o re ve al r e l a t i o n s h i p s i f any. These d a t a c o n s i s t o f annual county l e v e l t r a v e l e x p e n d i t u r e s , t r a v e l g e n e r a t e d p a y r o l l , t r a v e l g e n e r a t e d employment, l o c a l t a x r e c e i p t s and s t a t e t a x r e c e i p t s f o r 1983 and 1986. F i n a l l y , one a d d i t i o n a l v a r i a b l e , e a t i n g and d r i n k i n g p l a c e s a l e s , w i l l be added t o t h e p r i n c i p a l components a n a l y s i s v a r i a b l e s . These d a ta a r e ta ken from t h e Survey o f Buying Power p u b li s h e d by S a le s and Marketing Management magazine. CHAPTER 4 DATA NEED SURVEY As p a r t o f t h i s r e s e a r c h s t u d y , a small survey was conducted in March o f 1988 t o a s s e s s t h e need f o r d a t a by to u r i s m p r o f e s s i o n a l s (a copy o f t h e surv ey i s in c lu d e d in Vol. 2, Appendix B). The a t t e n d e e s o f t h e Michigan G o ve rn or' s Conference on Tourism were used as t h e sampling frame. Data l i m i t a t i o n s e x i s t us in g c on fe re n c e a t t e n d e e s as s u b j e c t s because o f t h e m ix tu r e o f i n d i v i d u a l s and t h e l a c k o f a d e f i n i t i o n o f t o u r i s m . There a r e no e x a c t measures o f who i s o r who i s not a to u r i s m professional. The a t t e n d e e s in c l u d e county/community to u r i s m o f f i c i a l s , in n k e e p e r s , r e s t a u r a n t o p e r a t o r s , Michigan r e c r e a t i o n p r o f e s s i o n a l s , n a t i o n a l pa rk managers, l e g i s l a t o r s , e d u c a t o r s , r e s e a r c h e r s , e t c . Using t h i s as a p o p u l a t i o n base l i m i t s c o n t r o l o f t h e sample but does provid e one wit h i n d i v i d u a l s t h a t have a t r u e i n t e r e s t in t o u r i s m . tak en was a n o n - p r o b a b i l i t y convenience sample. The sample Eighty s urv ey s were d i s t r i b u t e d and t h i r t y - t w o u s a b le su rveys were c o l l e c t e d (ap pro xi m a te ly 40% re s p o n se r a t e ) . The a c t u a l a d m i n i s t r a t i o n o f t h e survey posed problems because i t was l o g i s t i c a l l y d i f f i c u l t t o f i l l o ut t h e sur ve y. Two a r e a s were u t i l i z e d ; t h e f i r s t a seminar in which an announcement was made a t t h e c l o s e o f the seminar a ski ng f o r t h e a t t e n d e e s ' p a r t i c i p a t i o n in f i l l i n g o u t t h e survey; t h e second p l a c e was t h e "market p l a c e " in which county/community to uri sm o r g a n i z a t i o n s , p r i v a t e b u s i n e s s e s and a s s o c i a t i o n s had an o p p o r t u n i t y to s e t up a booth and d i s t r i b u t e i n fo r m a t io n co ncerning t h e i r o r g a n i z a t i o n and/or lo c a tio n to a tte n d e e s. The m a j o r i t y o f t h e booths were f o r county to u r i s m o r g a n i z a t i o n s promoting t h e i r a r e a s . 44 The survey d i s t r i b u t e d had 45 sixteen questions. The d a t a c o l l e c t e d was nominal and o r d i n a l in n a t u r e le n d i n g i t s e l f t o p r e do m in a ntly d e s c r i p t i v e s t a t i s t i c s . Several c h i - squ are a n a l y s e s were conducted o f t h e r e s u l t i n g d a t a . The re s p o n d e n ts f o r t h i s survey were pr e d o m in a n tl y members o f t h e i r l o c a l o r re g i o n a l to u r i s m o r g a n i z a t i o n . A l a r g e number o f t h e a t t e n d e e s o p e r a t e in t h e p r i v a t e s e c t o r w h i l e t h i r t y - s i x p e r c e n t work a t t h e county l e v e l . A s m a l l e r p e r c e n t a g e were s t a t e t o u r i s m p r o f e s s i o n a l s . be no ted t h a t o f t e n times I t should county and community t o u r i s m o r g a n i z a t i o n s are developed and a d m i n i s t e r e d by t h e p r i v a t e s e c t o r . Many o f t h e i n d i v i d u a l s may indeed r e p r e s e n t both t h e p r i v a t e s e c t o r , in t h e i r own b u s i n e s s and be an a d m i n i s t r a t o r f o r a t o u r i s m o r g a n i z a t i o n . The f o ll o w i n g t a b l e d e scrib es respondents. Table 1. Educa tiona l Level: The Respondents: Data Need Survey High School C o lle ge ( B a c h e l o r ' s ) C o lle ge ( M a s t e r ' s ) O th e r 9% 66% 22% 3% Member o f T o u r i s t A s s o c i a t i o n s : 81% O pe rati ng Level: 7% 36% 50% 7% State County Management ( p r i v a t e ) Consultant (p riv ate ) The f i r s t q u e s t i o n asked on t h e survey concerned t h e t y p e o f d a t a t h a t were c u r r e n t l y used f o r t o u r i s m p l a n n in g and f o r e c a s t i n g . Approximately s i x t e e n p e r c e n t o f t h e re s p o n d e n t s i n d i c a t e d t h a t the y used census d a t a ; t w e n t y - f i v e p e r c e n t i n d i c a t e d use o f employment f i g u r e s ; almost n i n e t e e n p e r c e n t r e p o r t e d us in g s a l e s t a x f i g u r e s ; w h il e twenty- 46 e i g h t p e r c e n t r e p o r t e d u s in g t a x f i g u r e s . Occupancy r a t e s were s a i d t o be used by more th a n s i x t y - s i x p e r c e n t o f t h e r e s p o n d e n t s . Other d a t a t h a t were mentioned in l e s s e r p e r c e n t a g e s were M.S.U. d a t a , Travel Bureau d a t a , U.S.T.D.C. d a t a , t r a f f i c c o u n t s , room asse ssm en t t a x e s , i n t e r n a l r e c o r d s , i n d i v i d u a l r e s e a r c h w r i t t e n up in j o u r n a l s ; and one i n d i v i d u a l s t a t e d s / h e used none. The f o l l o w i n g q u e s t i o n asked about t h e d a t a needed most. were n o t c o n s i s t e n t Responses with t h o s e from t h e f i r s t q u e s t i o n . For example, s a l e s t a x was needed only by t h i r t e e n p e r c e n t , l e s s than t h o s e who r e p o r t e d us in g t h e d a t a . Thi s may be e x p la i n e d f u r t h e r by t h e f a c t t h a t o ve r f i f t y p e r c e n t o f t h o s e q u e s t i o n e d do no t f e e l s a l e s t a x d a t a are useful. nothing. B asically, i n d i c a t i n g th e y use what i s a v a i l a b l e in l i e u of In almost e ver y c a s e t h e d a t a needed most and t h e d a t a used no t e q u i v a l e n t . were The f o l l o w i n g t a b l e i l l u s t r a t e s t h e l a c k o f c o n s i s t e n c y in r e s p o n s e s . Table 2. Data Use Vs. Need Data: C u r r e n t l y Use Data: Need Census 16% 22% Employment f i g u r e s 25 22 Penetration ra te s 13 16 Sales tax 19 13 Occupancy r a t e s 66 44 Mix o f demand 31 28 Use t a x 28 16 Respondents a l s o i n d i c a t e d how t h e s a l e s t a x and use t a x d a t a might be made more u s e f u l . The recommendations were: 47 Transformed i n t o S a l e s Fi g u r es 22% Transformed i n t o Per C a p i t a Fi g u r es 6% Made More A v a i l a b l e 12% Monthly Fi g u r es 22% Other 6% These r e s p o n s e s r e f l e c t t h e need t o b e t t e r u n de rs ta nd s a l e s / u s e t a x f i g u r e s and r e v e n u e s . Some i n d i v i d u a l s p o i n t e d ou t t h a t t h e t a x f i g u r e s do no t e x p l a i n who i s spending t h e d o l l a r s . This comment, altho ugh i s o l a t e d , a l s o p o i n t s out t h a t many o f t h e s e i n d i v i d u a l s a r e not i n t e r e s t e d in raw d a t a , and t h a t i n t e r p r e t a t i o n i s needed. The d a t a s o u rc e s f o r t h e s e r e s p o n d e n t s were ( r e s p o n d e n t s i n d i c a t e d a ll th a t applied to t h e i r s i t u a t i o n ) : Michigan Travel Bureau 50% Regional Tourism A s s o c i a t i o n 22% MTTRRC 38% P r i v a t e Firm 16% L i b ra r y 19% Other 44% Some o f t h e o t h e r s o u rc es c i t e d were MDOT, i n t e r n a l r e c o r d s , co nven ti on and v i s i t o r b u re a u s , l o c a l me rc ha nt s , Michigan Employment S e c u r i t y s t a t i s t i c s , Department o f S t a t e , s e l f r e s e a r c h and Michigan B e l l . The m a j o r i t y o f t h e re s p o n d e n ts r e l y on secondary d a t a . re s p o n d e n t s i n d i c a t e d o t h e r s o u rc es o f d a t a . A number o f Basically, th is indicates a w i l l i n g n e s s t o e x p l o r e whatever avenues a r e a v a i l a b l e t o a t t a i n good pl a n n in g d a t a . When asked what d a t a were used t o a s s i s t in f o r e c a s t i n g to u r i s m revenues in t h e i r c ounty , r e s p o n d e n ts i n d i c a t e d : 48 Na tional Estim at es 19% S t a t e Es tim a te s 47% Regional Es tim a te s 28% County Es tim a te s 37% These r e s u l t s p o i n t ou t t h a t t h e m a j o r i t y o f i n d i v i d u a l s r e l y on t h e s t a t e f o r t o u r i s m d a t a and t h e r e f o r e use d a t a in an ag g re g ate d form not s p e c i f i c f o r t h e i r c ou nt y. The s t a t e a g en c ie s most r e l i e d on f o r d a t a are: Commerce 88% MOOT 44% MDNR 38% T r ea s ury 6% The Michigan Department o f Commerce where t h e Travel Bureau i s housed i s r e l i e d on most h e a v i l y . A d d i t i o n a l l y , almost f i f t y p e r c e n t o f th e re s p o n d e n ts i n d i c a t e d t h a t to u r i s m plan nin g was a c o l l e c t i v e e f f o r t by a v a r i e t y o f i n d i v i d u a l s in t h e i r a r e a . This r e l a t e s t o t h e f a c t t h a t over s i x t y p e r c e n t r a t e d t o u r i s m as very impor tant t o t h e c o u n t y ' s development and t h a t ove r s e v e n ty p e r c e n t i n d i c a t e d t h a t to u ri sm was in th e development s t a g e in t h e i r co unty. One could conclude t h a t t h e need f o r d a t a i s being voic ed a t t h e county l e v e l , and t h e s t a t e i s not t h e only e n t i t y needed t o meet t h e demand f o r d a t a from devel opin g to u ri sm a r e a s . An a d d i t i o n a l q u e s t i o n was asked t o a s c e r t a i n r e s p o n d e n t s ' a t t i t u d e s toward t o u r i s m budget a l l o c a t i o n s f o r r e s e a r c h . There were an equal number o f r e s p o n d e n ts t h a t i n d i c a t e d t h a t c o u n t i e s should be r e s p o n s i b l e f o r l e s s th a n f i v e p e r c e n t o r between f i v e and e i g h t p e r c e n t o f t h e d o lla rs allocated for research. The m a j o r i t y o f res p o n d en ts i n d i c a t e d t h e 49 s t a t e should spend f i v e t o e i g h t p e r c e n t o f i t s t o u r i s m budget on to u r i s m r e s e a r c h with t h e second l a r g e s t re s ponse group i n d i c a t i n g t h e s t a t e should spend ni ne t o f i f t e e n p e r c e n t . The m a j o r i t y o f r e s p o n d e n t s s t a t e d t h e f e d e r a l to u r i s m r e s e a r c h budget a l l o c a t i o n should be l e s s than f i v e percent. C l e a r l y t h e s e re s p o n d e n ts see r e s e a r c h as t h e j o b o f t h e s t a t e . Question 5 was excluded from t h e a n a l y s i s due t o low number o f responses to t h a t question. The q u e s t i o n asked r e s p o n d e n ts t o ra nk data c l a s s i f i c a t i o n s acc ord ing t o t h e i r g r e a t e s t use in p la nnin g and f o r e c a s t i n g . Respondents were asked t o rank 8 c h o i c e s , 1 = most i m p o r ta n t, 5 * average importance, 8 - l e a s t im po rt an t (s e e Appendix B). This q u e s t i o n s was answered by l e s s than 2 p e r c e n t o f r e s p o n d e n t s . This can be a t t r i b u t e d t o co nf usi o n by t h e re s p o n d e n ts and t h e l e n g t h o f t h e q u e s t i o n . As i n d i c a t e d e a r l i e r t h e survey environment a l s o posed d i f f i c u l t i e s f o r respondents. The r e s u l t s o f t h i s q u e s t i o n were unu sab le f o r a n a l y s i s . As p a r t o f t h i s a n a l y s i s s e v e r a l hypotheses were t e s t e d usi ng t h e chi-square s t a t i s t i c . This s t a t i s t i c was used t o t e s t i f t h e r e was an a s s o c i a t i o n between v a r i a b l e s . One such h y p o t h e s i s t e s t e d Ho: There i s no t an a s s o c i a t i o n between s a l e s t a x use and s a l e s t a x need, H^: such an a s s o c i a t i o n . There i s This t e s t was conducted usi ng n i n e t y - f i v e p e r c e n t c o n fi d e n c e l e v e l with one de gre e o f freedom. The t e s t i n d i c a t e d one could r e j e c t t h e n u ll and acc e pt t h e a s s o c i a t i o n between r e s p o n se s con cer nin g need and use o f s a l e s t a x d a t a . The same a n a l y s i s f o r use t a x d a t a a c c e p ted t h e n u l l h y p o t h e s i s t h a t t h e r e was no a s s o c i a t i o n between use t a x being used and use t a x being needed. This can be e x p la i n e d f u r t h e r by remembering t h a t many re s p o n d e n ts r e p o r t e d using occupancy f i g u r e s . H ote l/m ote l use t a x 50 r e p r e s e n t s a v a r i a t i o n o f h o t e l / m o t e l occupancy and i s s u r r o g a t e f o r i t . Another a n a l y s i s t e s t e d t h e n u l l h y p o t h e s i s t h a t t h e r e i s no a s s o c i a t i o n between f e d e r a l e x p e n d i t u r e on t o u r i s m r e s e a r c h and t h e s t a t e o f development o f a c ounty . One might assume de vel opin g c o u n t i e s would e xp ec t f e d e r a l a s s i s t a n c e thr ou gh a v a r i e t y o f programs. Assuming a n i n e t y - f i v e p e r c e n t c on fi d e n c e l e v e l with e i g h t d e g r e e s o f freedom t h e t e s t i n d i c a t e d one could n o t r e j e c t t h e n u ll h y p o t h e s i s . Thi s a l s o concurs with t h e re s p o n d e n ts i n d i c a t i n g ( t h a t t h e f e d e r a l government) has a low l e v e l o f r e s p o n s i b i l i t y f o r to u ri sm r e s e a r c h . A f i n a l a n a l y s i s was run t e s t i n g e d u c a ti o n l e v e l and o t h e r r e s p o n d e n t s ' f e e l i n g s on t o u r i s m r e s e a r c h budgets a t t h e c ou n ty , s t a t e and federal l e v e l . The n u ll h y p o t h e s i s being t h a t t h e r e i s no a s s o c i a t i o n between e d u c a t i o n and t o u r i s m spending l e v e l e x p e c t a t i o n s a t d i f f e r e n t l e v e l s o f government (95% c o n fi d e n c e l e v e l ) . that One might l o g i c a l l y argue e d u c a t i o n i n c r e a s e s o n e ' s awareness o f t h e need f o r more r e s e a r c h so t h a t t h e r e should indeed be an a s s o c i a t i o n h e r e . In each s i t u a t i o n , c oun ty, s t a t e , f e d e r a l , t h e t e s t i n d i c a t e d t h a t t h e n u l l not be r e j e c t e d . h y p o t h e s i s could This t e s t i n d i c a t e d t h a t t h e r e i s no a s s o c i a t i o n between e d u c a t i o n l e v e l and a t t i t u d e s toward r e s e a r c h bu d g e ti n g . Respondents f e l t t h a t t h e s t a t e has primary r e s p o n s i b i l i t y t o conduct t o u r i s m r e s e a r c h . This surve y and i t s r e s u l t s , while l i m i t e d in terms o f g e n e r a l i z a t i o n s t o t h e g e n e r a l to u r i s m p lann er/ ma nag er p o p u l a t i o n , served t o r e c o n f i r m t h e need f o r q u a l i t y d a t a a t t h e county l e v e l . The survey was a d m i n i s t e r e d as a simple measuring to o l and no t i n te n d e d t o be comprehensive o r o f f e r g e n e r a l i z e d r e s u l t s . F u r t h e r i n v e s t i g a t i o n s o f t h i s a re a would r e q u i r e a more c o n t r o l l a b l e s i t u a t i o n f o r a d m i n i s t e r i n g a s ur ve y. This r e s e a r c h does i n d i c a t e t h i s p o p u l a t i o n has a l o t o f i n f o r m a t i o n t h a t i t i s w i l l i n g t o s h a r e and t h a t d a t a c ould be used t o b e t t e r f a c i l i t a t e t o u r i s m management i n fo r m a t io n systems. These simp le r e s u l t s r e c o n f i r m t h e need f o r e x i s t i n g d a t a such as s a l e s / u s e t a x d a t a t o be p r e s e n t e d t o p o t e n t i a l u s e r s in a more u s ef u l and timely fashion. T h e i r use should no t be based on t h e l a c k o f o t h e r a v a i l a b l e d a t a but on t h e i r own m e r i t as a pla nn in g and d e c i s i o n making t o o l . CHAPTER 5 PRACTICAL DATA USES AND LIMITATIONS The u t i l i z a t i o n o f s a l e s and use t a x f o r v a r i o u s pla n n in g and d e c i s i o n making a c t i v i t i e s has been d i s c u s s e d th ro u g h o u t t h e s tu d y . any s t u d y however, one must e v a l u a t e t h e q u a l i t y o f t h e d a t a . As in The d a t a t h a t w i l l be examined in t h i s r e p o r t a r e being examined he re t o a s s e s s t h e i r usefulness in t h e t o u r i s m d e c i s i o n making p r o c e s s . The d a t a t o be u t i l i z e d a r e ta ken from a p u b l i c a t i o n assembled by t h e Michigan T r a v e l , Tourism and R e c re a ti o n Resources based on Michigan Department o f Tr eas ury data. This p u b l i c a t i o n w i l l s e r v e as t h e A st ud y such as t h i s would be u s ef u l p a r t i c u l a r l y in t h e a r e a o f f o r e c a s t i n g . sample frame f o r f o r p l a n n e r s and t h e s tu dy . managers The use a t a time t o f a v a i l a b l e o b s e r v a t i o n s from a time s e r i e s t o f o r e c a s t i t s va lu e a t some f u t u r e time t+1 can p ro v id e a b a s i s f o r economic and b u s i n e s s p la nn in g (Box & J e n k i n s , 1976). There i s e x t e n s i v e l i t e r a t u r e on t h e a p p l i c a t i o n t o economics and o t h e r a n a l y s i s o f time scien tific fields. s e r i e s andi t s The g r e a t p ro g r e s s in t h e use o f e l e c t r o n i c computers f o r s t a t i s t i c s has en abled th e development o f advanced a n a l y s i s (BarOn, 1982). A review o f any time s e r i e s d a t a could y i e l d s e p a r a t e f a c t o r s such as s e a s o n a l i t y , t r e n d s , c y c l e s , and p o s s i b l e i r r e g u l a r i t i e s . F o r e c a s t i n g , however, in t h e a r e a of t o u r i s m i s t y p i c a l l y e a s i e r than f o r d u r a b l e goods because t o u r i s m p r o d u c t s a r e c o n s i d e r e d s e r v i c e goods which a r e purchased more o f t e n and d o n ' t l a s t as long (Dauten and V a l e n t i n e , 1978). A s t a t i s t i c a l a b s t r a c t , as was d i s c u s s e d , w i l l no t y i e l d q u a l i t y r e s u l t s f o r f o r e c a s t i n g w i t h o u t c o n s i d e r a t i o n o f t h e time h o r i z o n , t h e 52 53 p a t t e r n o f t h e d a t a , c o s t , a c c u ra c y , t h e model, and t h e c a s e o f a p p l i c a t i o n (Wheelwright and M ak ri da kis , 1977). As Granger p o i n t s o u t, "an u n s o p h i s t i c a t e d f o r e c a s t e r uses s t a t i s t i c s as a drunken man uses lamp p o s t s f o r s u p p o rt r a t h e r t h a n i l l u m i n a t i o n " (Granger, 1980). Basically t h e use o f t h i s ty p e o f time s e r i e s s t a t i s t i c a l a b s t r a c t w i l l pr ovide an ongoing pla n n in g t o o l . As Clawson and Knetsch (1966) p o i n t o u t , i n v e s t m e n ts in f a c i l i t i e s and improvements must r e s t upon some ide a o f the n a t u r e o f f u t u r e demand p a t t e r n s e s p e c i a l l y in t h e immediate y e a r s ahead. The u n d e r l y i n g premise w it h t h i s type o f study i s t h a t s a l e s t a x and use t a x demand can be i n d i c a t o r s o f to u ri sm demand f o r t h e f u t u r e . The main i n t e r e s t in t h e changes in t o t a l o r a g g re g at e demand f o r to u ri sm i s in p o l i c y d e c i s i o n s on t h e broad r e g i o n a l l e v e l , and i t c e n t e r s on t h e types o f t h i n g s u n d e r l y i n g t h e gra dua l o r gener al i n c r e a s e s in demand f o r t o u r i s m (Clawson & Knetsch, 1966). Time s e r i e s methods a r e good f o r t r a c k i n g t r e n d s and i d e n t i f y i n g r e g u l a r p a t t e r n s ( S ty n e s , 1986). Time s e r i e s methods in g en era l r e l y upon h i s t o r i c a l o b s e r v a t i o n s o f t h e v a r i a b l e we wish t o f o r e c a s t in o r d e r to i d e n t i f y a p a t t e r n o r t r e n d t h a t may be extended i n t o t h e f u t u r e (S tyn es, 1983). The f a c t t h a t t h e to u r i s m pr odu ct i s p e r i s h a b l e in n a t u r e and i s v u l n e r a b l e t o many e x t e r n a l f a c t o r s makes f o r e c a s t i n g to u ri sm flow essential (Sheldon & Var, 1985). The p h i l o s o p h i c a l b a s i s o f time s e r i e s f o r e c a s t i n g i s t h a t t h e measured v a lu es c o n s t i t u t i n g t h e s e r i e s a re g e n e r a t e d by an u n d e r l y i n g p ro c e s s t h a t remains s t a t i o n a r y over time (Makridakis and Wheelwright, 1977). The primary d i f f e r e n c e s among methods l i e in t h e manner in which p a s t d a t a a r e s t a t i s t i c a l l y p a r t i t i o n e d , a g g r e g a t e d , and weighted p r i o r t o t h e p r o j e c t i n g (G ue rts , 1982). 54 Recommendations which encompass t h e o b j e c t i v e s o f t h i s s tu dy were s t a t e d by Stynes in a p a p er c o n t r i b u t e d t o t h e P r e s i d e n t ' s Commission o f Americans Outdoors on R e c r e a ti o n F o r e c a s t i n g Methods. Some o f th o s e recommendations a r e : a) Development o f b e t t e r methods o f d e l i v e r i n g i n fo r m a t io n on t r e n d s , f o r e c a s t and t r e n d m e a s u r e m e n t/ f o r e c a s ti n g methods t o management and pl a n n in g a g e n c i e s , b) T r a i n i n g programs t o expose c u r r e n t p la n n e r s and managers t o a wide range o f f o r e c a s t i n g and t r e n d us e s , c) More a t t e n t i o n should be given t o s h o r t and medium f o r e c a s t i n g which le n d s i t s e l f d i r e c t l y t o t h i s type o f time s e r i e s d a t a , d) More d a t a s e r i e s should be c o l l e c t e d and monitored on a r e g u l a r basis, e) Technical a s s i s t a n c e programs a r e needed t o help s t a t e , l o c a l , and p r i v a t e o r g a n i z a t i o n s develop t h e i r own m onit or in g and f o r e c a s t i n g programs and make b e t t e r use o f t r e n d s and f o r e c a s t s ( S t y n e s , 1986). Developing f o r e c a s t s i s one o f s e v e ra l a p p l i c a t i o n s o f a s t a t i s t i c a l a b s t r a c t , perhaps t h e most im p o r ta n t. I t has been sug ges te d t h a t th e performance o f t h e ho te l i n d u s t r y can be used as an i n d i c a t o r o f ge ner al t r e n d s o f t r a v e l and t o u r i s m r e l a t e d a c t i v i t i e s f o r an a r e a . as a complementary b u s i n e s s i s a n o th e r usef ul segment. Food s e r v i c e The use o f s a l e s and use t a x f o r f o r e c a s t i n g t h e s e b u s in e s s segments i l l u s t r a t e s t h e u s e f u l n e s s o f secondary d a t a f o r pla nnin g purpo se s. These time s e r i e s d a t a g e n e r a l l y f u l f i l l t h e re qu ire m e nt s f o r use in f o r e c a s t i n g in t h a t th e time h o ri z o n can be s h o r t t o medium, t h e le ad time needed t o develop th e d a t a i s s h o r t t o medium, t h e d e t a i l i s f a i r l y high and t h e a v a i l a b i l i t y o f t h e d a t a i s a l s o high ( S ty n e s , 1983). P o t e n t i a l u s e r s o f t h e a b s t r a c t in c l u d e re g i o n a l t o u r i s m a s s o c i a t i o n s i n t h e s t a t e and t h e i r membership. In p a r t i c u l a r , i n d i v i d u a l d e v e lo p e r s 55 and c o n s u l t a n t s r e s e a r c h i n g t h e market f o r t o u r i s m development could fi n d these data exceptionally useful. A d d i t i o n a l l y , t h e accumulation o f t h e s e d a t a in t h i s form could l e n d i t s e l f t o f u r t h e r a n a l y s i s t o look f o r u n d e r l y i n g p a t t e r n s t h a t may i n c l u d e s p a t i a l a n d / o r time r e f e r e n c e s . The a n a l y s e s o f t h e s e d a t a and t h e c o n s t r u c t i o n o f an a b s t r a c t w i l l a s s i s t in making t h e d a t a more comparable t o o t h e r i n d i c e s such as employment and s a l e s . previously here. Based on t h e d e f i n i t i o n o f s a l e s and use t a x as s t a t e d in Chap ter 2, t h e d i s c u s s i o n o f t h e i r use can c o n ti n u e The s e l l e r o f t h e good o r s e r v i c e i s r e s p o n s i b l e f o r t h e payment of taxes. In most c a s e s t h e s e l l e r i s r e s p o n s i b l e under law t o m a in ta in p ro p e r books and r e c o r d s ( Michigan Dept, o f T r e a s u ry , 1985). This p o t e n t i a l l y i s a problem p o i n t due t o t h e d i f f e r e n c e in i n d i v i d u a l o p e r a t o r s bookkeeping in terms o f both method and s k i l l l e v e l . A d d i t i o n a l l y , t h e d a t a may o r may not be c o n s i s t e n t due t o d i f f e r e n c e s in r e p o r t i n g time p e r i o d s . The r e p o r t i n g b a s i s i s de termined as f o ll o w s : I f yo u r t a x e s l a s t y e a r ( o r 4% o f e s t i m a t e d pro ce eds ) were: You must r e p o r t and pay: l e s s th a n $200.00 between $200.00 and $ 2 ,4 00 .0 0 more th a n $2 ,400.00 a n n u a ll y only q u a r t e r l y and a n n u a ll y monthly and a n n u a ll y Annual r e t u r n s a r e reviewed each y e a r . I f your t a x l i a b i l i t y has changed, t h e Department may update yo ur f i l i n g s t a t u s to r e f l e c t t h a t change. (Michigan Department o f T r e a s u r y , 1985) Annual f i g u r e s o f f e r good comparison from county t o county but are l i m i t e d in t h e i r u s e f u l n e s s due t o t h e i r i n a b i l i t y t o r e f l e c t seasonal p a t t e r n s . This stu dy w i l l foc us on q u a r t e r l y s a l e s and use t a x d a t a f o r 1983 t o 1986. The s e l e c t i o n o f t h e s e y e a r s i s based on a Michigan Department o f T r ea s ur y d e c i s i o n t o suspend t h e r e p o r t i n g o f county le v e l 56 d a t a n e c e s s i t a t e d by b u s i n e s s c l a s s i f i c a t i o n ty p e in t h e e a r l y 1 9 8 0 ' s . Upon t h e r e q u e s t o f t h e Travel Bureau and t h e MTTRRC, T r e a s u ry r e v e r s e d i t s d e c i s i o n in 1984 and has p ro v id e d t o t h e MTTRRC d a t a f o r t h e y e a r s 1983-86. I t should be no ted h e r e t h a t t h e Michigan Travel Bureau must pay t h e Michigan Department o f t h e T r e a s u ry t o have t h e s e d a t a e x t r a c t e d from the tax records. Another v a r i a t i o n o f t h e r e p o r t i n g problem i s t h a t o f ch ain reporting. Chain o r f r a n c h i s e o p e r a t i o n s t h a t have m u l t i p l e l o c a t i o n s in Michigan pay t h e i r t a x e s in lump sum form from wherever t h e i r c o r p o r a t e or regional headquarters are lo c ated . An o p e r a t o r such as a Burger King F r a n c h is e l o c a t e d in Grand Rapids but o p e r a t i n g Burger King R e s t a u r a n t s in s e v e r a l c o u n t i e s in Michigan would r e p o r t a l l i t s s a l e s t a x from Kent County. This d i s t o r t s t h e t r u e d i s t r i b u t i o n o f t a x reve nu es and c o m p li c a te s i n t e r p r e t a t i o n o f t h e d a t a . A d d itio n a lly , i f the parent company h e a d q u a r t e r s i s l o c a t e d o u t - o f - s t a t e t h e s a l e s t a x would be r e p o r t e d from t h a t o u t - o f - s t a t e l o c a t i o n r a t h e r tha n Michigan c o u n t i e s where t h e business operates. Another a r e a o f p o t e n t i a l d i f f i c u l t y i s t h a t o f T r e a s u r y ' s c la s s if ic a t io n of businesses. The b u s i n e s s c l a s s i f i c a t i o n codes used by t h e Michigan Department o f t h e Tr ea su ry a r e not i d e n t i c a l with t h e SIC codes used by t h e f e d e r a l government and t h e Michigan Employment S e c u r i t y Commission ( S p o t t s 1986). Care must be ta ke n t o show a c c u r a t e l y which c l a s s i f i c a t i o n i s being used . business o p era to rs. The c l a s s i f i c a t i o n c h o i c e r e s t s wit h th e The a p p l i c a t i o n f o r t h e s a l e s t a x l i c e n s e i n s t r u c t s t h e a p p l i c a n t t o choose t h e c l a s s i f i c a t i o n code which " b e s t d e s c r i b e s " h i s " p r i n c i p l e b u s i n e s s a c t i v i t y " ( S p o t t s , 1986). Based on t h e s e 57 c l a s s i f i c a t i o n c h o i c e s , s a l e s t a x c a t e g o r i e s a r e compiled. A problem c oul d a r i s e i f m u l t i p l e ty p e s o f b u s i n e s s were conducted a t t h e same facility. An example c i t e d by S p o t t s (1986) i s t h e r e s o r t ski a r e a t h a t also operates a hotel. Which c l a s s i f i c a t i o n should i t s owners choose? If th e y chose " S p o rt s Promoters and Commercial Ope ra to rs " which would encompass t h e ski o p e r a t i o n , t a x e s pa id f o r both i t s h o t e l / m o t e l and ski o p e r a t i o n would be c r e d i t e d t o t h e s p o r t s promoter and commercial o p eratio n s business c l a s s i f i c a t i o n type. In a d d i t i o n t o t h e s e problems, t h e r e i s a l s o t h e p o t e n t i a l t h a t v a r y i n g amounts o f t a x c h e a t i n g i s going on. The amount o f t h i s a c t i v i t y i s no t f u l l y documented b u t can be evidenced by t h e i n f l u x o f p a r t i c i p a n t s in t h e r e c e n t t a x amnesty program conducted in t h e s t a t e . These l i m i t a t i o n s should make u s e r s o f t h e s e d a t a c a u t i o u s in t h e i r i n t e r p r e t a t i o n f o r p l a n n in g and management d e c i s i o n s . summarizes t h e d a t a The f o ll o w i n g l i s t lim ita tio n s discussed. Data L i m i t a t i o n s D i f f e r i n g Repo rtin g P e ri o d s Chain R e p o r ti n g Problems B us in e ss C l a s s i f i c a t i o n s Tax Cheat ing A p e r s o n a l i n t e r v i e w w it h Ms. Jenny Su, A s s i s t a n t D i r e c t o r o f Systems Department o f t h e S a l e s Tax D iv is io n (1988) confirmed t h a t t h e Department o f T r e a s u r y was not a m o ni to r in g agency. They c o l l e c t e d and pro c e sse d d a t a , b u t , in t h e Systems a r e a , t h e i r major concern was r e g i s t r a t i o n o f businesses. A d d i t i o n a l l y , she p o i n t e d o u t t h e r e were only a small number o f r e q u e s t s f o r s p e c i f i c s a l e s t a x and use t a x d a t a f o r t h e to u ri sm 58 industry. This i n d i c a t e s a l a c k o f use o f a v a i l a b l e s tu d y d a t a and perhap s a l a c k o f awareness o f t h e e x i s t e n c e o f such d a t a . I t should be noted he re t h a t t h e s e d a t a a r e no t r e a d i l y a v a i l a b l e t o a l l i n q u i r i e s . S pe c ia l r e q u e s t s must be made which may i n v o lv e l e n g t h y w a i t i n g p e r i o d s and a s i z e a b l e payment f o r t h e s e r v i c e . In a more g e ne r al s e n s e , our e xam in atio n o f s a l e s and use t a x d a t a as time s e r i e s f o r e c a s t i n g d a t a i s f a c e d w ith p o t e n t i a l l i m i t a t i o n s such as: a) F o r e c a s t i n g not being t r e a t e d as an ongoing a c t i v i t y , t h u s th e d a t a l a y under u t i l i z e d . b) The l a c k o f a c o n s i s t e n t r e g i o n a l t o u r i s m d a t a s e r i e s , c) The methods in which t h e d a t a a r e o b t a i n e d a r e d i f f e r e n t which can l i m i t t h e c o m p a r a b i l i t y o f t h e d a t a , d) The l a c k o f b a s i c r e s e a r c h on change ove r time and change p r o c e s s e s w i t h i n to u ri sm ( S t y n e s , 1986). All o f t h e pr e c e d in g in f o r m a t io n should a c t as a c a u t i o n t o p o t e n t i a l u s e r s but no t a d e t e r r e n t . The e a r l i e r p r e s e n t a t i o n o f t h e TMIS po in te d out t h e need f o r a n a l y s t s t o conduct t h i s typ e o f q u a l i t y t e s t i n g and a s s i s t u s e r s in t h e d i f f e r e n t methods o f u t i l i z i n g d a t a . Holecek (1988) r e p o r t e d c a l l s f o r such d a t a a re r e c e i v e d a t t h e Michigan T r a v e l , Tourism R e c re a ti o n Resource C en te r almost d a i l y . To c l a s s i f y t h e s e c a l l s t h e f o ll o w i n g summary t a b l e d e s c r i b e s a c t u a l u s e r s of the d ata. 59 Table 3. Data Users MTTRRC (87-88) P riv ate Consultants P r i v a t e Firms S t a t e Agencies Chambers o f Commerce, Convention Bureaus, Tourism Co uncils Media All o t h e r r e q u e s t s 19% 17% 12% 10% 10% 32% (Holecek, 1988) Another c l a s s i f i c a t i o n o f d a t a u s e r s showed f i f t y p e r c e n t t o be a s s o c i a t e d w it h t h e p r i v a t e s e c t o r , t h i r t y p e r c e n t w i t h i n t h e p u b l i c s e c t o r , t e n p e r c e n t media and t e n p e r c e n t from out o f s t a t e . In a p r a c t i c a l s e n s e , t h e p r i v a t e s e c t o r u t i l i z e s t h e a v a i l a b l e d a t a much more o f t e n th a n does t h e p u b l i c s e c t o r . When p u b l i c s e c t o r u s e r s from t h e above noted d a t a a r e broken down i n t o small c a t e g o r i e s , one n o t i c e s t h a t t h e r e a r e few r e q u e s t s from county l e v e l p l a n n e r s and managers which may i n d i c a t e a l a c k o f awareness o f t h e a v a i l a b i l i t y o f t h e d a t a . With t h e development and implementation o f a Tourism Info rm at ion System, one might overcome t h e l a c k o f awareness and a s s i s t p l a n n e r s in o b t a i n i n g u s e f u l secondary d a t a . Communication amongst u s e r s and a n a l y s t s w i l l make both groups more aware o f d a t a needs, aware o f a v a i l a b l e d a t a , u s e f u l n e s s o f t h e d a t a and p r o p e r d i s s e m i n a t i o n o f t h e s e d a t a . CHAPTER 6 STATISTICAL ABSTRACT CONSTRUCTION AND USE: SALES AND USE TAX DATA The A b s t r a c t A major component o f t h i s s tu dy was t h e c o n s t r u c t i o n o f a s t a t i s t i c a l a b s t r a c t u s in g s a l e s and use t a x d a t a f o r t o u r i s m r e l a t e d b u s i n e s s e s in Michigan. Such an a b s t r a c t should help p l a n n e r s , p u b l i c o f f i c e r s and b u s i n e s s e x e c u t i v e s s p o t economic t r e n d s . A review o f t h e d a t a could p i n p o i n t t r o u b l e d a r e a s as well as i d e n t i f y s t r e n g t h s . This kind o f i n f o r m a t io n could g u id e l e g i s l a t i v e d e c i s i o n s on t a x and spending policies. I t a l s o h e l p s b u s i n e s s e s and i n v e s t o r s focus marketing s t r a t e g i e s (Levin, 1987). Levin made t h e s e s t a t e m e n t s w hil e r e f e r r i n g to t h e s t a t i s t i c a l a b s t r a c t c o n s t r u c t e d in a j o i n t p r o j e c t with t h e s t a t e o f Minnesota and t h e U.S. Department o f Commerce. T h e i r a b s t r a c t i n c lu d e s most economic d a t a a v a i l a b l e in t h e s t a t e i n c l u d i n g to u ri sm d a t a . While t h e s e s t a t e m e n t s r e f e r r e d t o a b r o a d e r economic b a s e , i t could a l s o d i r e c t l y apply t o t h e c o n s t r u c t i o n o f a s t a t i s t i c a l a b s t r a c t f o r to uri sm in Michigan. The s t a t e o f Michigan could th e n f a c i l i t a t e t h e d i s t r i b u t i o n o f in f o r m a t io n t o t h e co unt y l e v e l by i n t e r a c t i n g in t h e proposed Tourism Management In f o rm a ti o n System d i s c u s s e d in Chapter 1. Each o f t h e e i g h t v a r i a b l e s p r e v i o u s l y d i s c u s s e d in c o n j u n c t i o n with county p o p u l a t i o n f i g u r e s were used t o c o n s t r u c t an a b s t r a c t f o r t h a t business c l a s s i f i c a t i o n . The d a t a used were from 1983-86, and su p p li e d f o r each co unt y on a q u a r t e r l y b a s i s . Q u a r t e r s f o r t h i s s tu dy a r e : Q u a r t e r 1 - J a n u a r y , Feb ruary, March Q u a r t e r 2 - A p r i l , May, June Q u a r t e r 3 - J u l y , August, September 60 61 Q u a r te r 4 - Oct ober, November, December These d a t a a r e a g g r e g a t i o n s o f monthly d a t a t h a t were provide d by th e Michigan Department o f T r e a s u r y . Data a r e p r e s e n t e d on a q u a r t e r l y b a s i s t o enhance c o m p a r a b i l i t y which, as d i s c u s s e d e a r l i e r , l i m i t e d by t h e f a c t t h a t some fi r m s pay s a l e s / u s e t a x on a q u a r t e r l y o r annual b a s i s ( S p o tt s & Sundstrum, 1987). Annual d a t a i s most comparable but would have e l i m i n a t e d t h e p o s s i b i l i t y o f perform ing seas onal a n a l y s e s which p ro vi de very useful county l e v e l i n f o r m a t i o n . In a d d i t i o n t o t h e base t a x d a t a , p o p u la ti o n f i g u r e s f o r each county a r e u t i l i z e d (1980 Census f i g u r e s ) . V a r i a b l e s in the a b s tr a c t are: - population - s a le s /u s e tax - s a l e s revenue ( s a l e s / u s e t a x / . 04) - p e r c e n t o f t o t a l s a l e s t a x each county r e p r e s e n t s in t h e s t a t e - per c a p ita sale s fig u re s (revenues/population) - p e r c e n t each q u a r t e r r e p r e s e n t s o f t o t a l y e a r - p e r c e n t a g e change y e a r t o y e a r f o r each county - to ta l sa le s /u se tax fig u res - t o t a l revenue f i g u r e s As i n d i c a t e d , t h e base t a x f i g u r e s a r e u t i l i z e d t o c r e a t e new v a r i a b l e s in c o n j u n c t i o n wit h p o p u l a t i o n f i g u r e s . Since t h e t a x r a t e i s f o u r p e r c e n t , t o t a l s a l e s can be simply c a l c u l a t e d by d i v i d i n g s a l e s / u s e t a x f i g u r e by f o u r p e r c e n t o r m u l t i p l y i n g t h e t a x revenues by 25. The e s t i m a t e o f p e r c e n t a g e o f t h e t o t a l s t a t e revenues t h a t each county c o l l e c t s i s c a l c u l a t e d by d i v i d i n g t h e s a l e s / u s e t a x f i g u r e f o r t h a t county by t h e t o t a l s t a t e s a l e s / u s e t a x . Per c a p i t a s a l e s i s c a l c u l a t e d by d i v i d i n g t o t a l s a l e s by p o p u l a t i o n f o r t h a t c ou n ty . The q u a r t e r l y p e r c e n t a g e o f t h e annual revenue i s c a l c u l a t e d by d i v i d i n g s a l e s / u s e t a x f i g u r e s f o r t h a t q u a r t e r by t h e t o t a l s a l e s / u s e t a x f i g u r e f o r t h a t y e a r . P e rc e n ta g e change f i g u r e s a r e c a l c u l a t e d by d i v i d i n g t h e d i f f e r e n c e f o r one q u a r t e r . A d d i t i o n a l l y , t o t a l s a r e c a l c u l a t e d f o r each v a r i a b l e and w eighted a v er ag e s a t t h e county l e v e l a r e a l s o c a l c u l a t e d . R e s u l t s are r e p o r t e d f o r t h e e i g h t y - t h r e e Michigan c o u n t i e s and t h e combined o u t - o f s t a t e re p o rtin g category. The county aver age s were c a l c u l a t e d e xc lu di ng out-of s ta te contributions. Table 4 i l l u s t r a t e s examples o f t h e a l g e b r a i e x p r e s s i o n s used t o c a l c u l a t e a b s t r a c t f i g u r e s . Table 4. A lg e b ra ic Ex pr ess ion s 1) Total S a le s = Q u a r t e r l y s a l e s t a x / / .04. .04 o r Q u a r t e r l y use t a x 2) P e rc e n t o f t o t a l s a l e s t a x o r use t a x each cou nty r e p r e s e n t s q u a r t e r l y in t h e s t a t e = Q u a r t e r l y county s a l e s o r use t a x / t o t a l q u a r t e r s a l e s o r use t a x f o r t h e s t a t e . 3) Per C a p i ta Sa le s * Q u a r t e r l y s a l e s pe r county / p o p u l a t i o n o f t h a t county. 4) P e rc e n t each q u a r t e r r e p r e s e n t s o f t h e t o t a l y e a r = Q u a r t e r l y S a le s o r Use Tax / Total Annual S a le s o r Use t a x p e r co unty. 5) P e rc e nt ag e change y e a r t o y e a r f o r each county = ex. ( s a l e s t a x 1986 q u a r t e r 1 - s a l e s t a x 1985 q u a r t e r 1 ) / s a l e s t a x 1985 q u a r t e r 1. 6) Total s a l e or use t a x f i g u r e s = Q u a rt e r 1 s a l e s o r use t a x + q u a r t e r 2 + q u a r t e r 3 + q u a r t e r 4. 7) Tot al s a l e s f i g u r e s * Q ua rte r 1 s a l e s + q u a r t e r 2 s a l e s + quarter 3 sales + quarter 4 sales. To c o n s t r u c t t h e s e a b s t r a c t s , microcomputers and commercial s o ft w a re (Lotus 123) were used. The f l e x i b i l i t y and t h e speed o f t h e s e t o o l s 63 allowed r a p i d c a l c u l a t i o n s o f v a r i a b l e s from s a l e s / u s e t a x f i g u r e s . As w i l l be no ted in t h e a p p e n d i c e s , t h e a b s t r a c t s produce volumes o f p r i n t e d information. The use o f t h e microcomputers and s o f tw a r e w i l l allow p r e p a r e r s and u s e r s o f t h e d a t a t o d e vel op, s t o r e , and m a in ta in t h e s e a b s t r a c t s on f lo p p y d i s k s . Users o f t h i s a b s t r a c t should a l s o be aware of t h e environment in which th e y a r e o p e r a t i n g , t h e time p e r i o d with which th e y a r e most concerned and t h e amount o f a cc ura cy t h e y r e a l l y need. a b s t r a c t s c o n s t r u c t e d p r o v id e managers. The a v a r i e t y o f i n d i c e s u s a b l e by p l a n n e r s and Knowledge o f t h e c o u n t i e s involved and t h e s t a t e in general w i l l o f c o u r s e a i d any a n a l y s i s . Such knowledge i s a v a i l a b l e based on working f a m i l i a r i t y a n d / o r p r i o r r e s e a r c h done co ncer nin g c o u n t i e s in Michigan. Hotel/Motel Use Tax (See Vol. 2, Appendix F) To examine t h e s e v a r i a b l e s , one must look a t each c oun ty, i t s r e p o r t e d s a l e s o r use t a x and i t s p o p u l a t i o n as i n d i c a t e d in t h e 1980 census. As p o i n t e d o u t , each county i s examined over f o u r y e a r s on a q u a r t e r l y b a s i s , y i e l d i n g a t o t a l o f 16 o b s e r v a t i o n s p e r co unty. The f i g u r e s a r e reviewed by county and a l l c o u n t i e s a r e l i s t e d a l p h a b e t i c a l l y . One should no te t h a t re vie w in g raw f i g u r e s i s o f t e n time s d i f f i c u l t . Because o f t h i s , i n d i c e s a r e o f t e n u s ef u l t o a s s i s t in t h e i n t e r p r e t a t i o n of the d a ta. A map o f Michigan i s provided in Fig ur e 3 t o i l l u s t r a t e Michigan county l o c a t i o n s . The f i r s t t r a n s f o r m a t i o n o f t h e s e d a t a was t o c a l c u l a t e h o te l and motel s a l e s . One county (Alcona) r e p o r t e d l e s s than $1,000 in s a l e s f o r q u a r t e r one 1983 w hi le e i g h t c o u n t i e s p l u s o u t - o f - s t a t e r e p o r t i n g had over one m i l l i o n d o l l a r s in s a l e s . 0 * T p * * tO * 64 ll /C « -tJ * » tiQ v * rSti rco)u iAPtilA mu 0QH tyitGl* G itlU t 4 iL t& 4 * GA*mr ca ton tu * t~ Fi gu re 3. Michigan County Map •*sGn*m \* *CO »& 0*14 65 I f one examines p e r c a p i t a s a l e s f i g u r e s which w i l l c o n t r o l f o r d i f f e r e n c e s in p o p u l a t i o n , t h e c o u n t i e s w it h t h e h i g h e s t r a t i o s a r e : Ontonagon, Crawford, C ha r le v o i x , Emmet, Otsego and Roscommon, each o f which has g r e a t e r than a t h i r t y - f i v e d o l l a r s p e r c a p i t a s a l e s f i g u r e . Wayne County, as might be e x p ec te d , a cc ou nt s f o r t h e h i g h e s t p e r c e n t a g e o f t h e t o t a l s a l e s t a x in t h e s t a t e . T r a d i t i o n a l l y , strong tourism counties l i k e Grand T r a v e r s e , Mackinac, Leelanau and A lg e r p o s t p e r c a p i t a s a l e s f i g u r e s in t h e twenty d o l l a r range. One co uld s p e c u l a t e t h a t t h i s was in p a r t due t o t h e i r i n c r e a s i n g p o p u l a t i o n s w hil e re maining major to u r i s m a t t r a c t i o n a r e a s o r a h i g h e r than average p e r c e n t a g e o f b u s i n e s s e s in t h e s e c o u n t i e s a r e owned by n o n - r e s i d e n t s ( e . g . c h a in owned) who pay t h e i r t a x e s in t h e i r home c o u n t i e s . Another p o s s i b i l i t y i s t h a t c o u n t i e s such as Leelanau, e t c . show high p e r c a p i t a s a l e s in peak season but ne xt t o no th in g in t h e o f f seaso n. Some e s t a b l i s h m e n t in t h e s e c o u n t i e s c l o s e f o r t h e w i n t e r w hil e c o u n t i e s where lodgin g i s l o c a t e d along major highways pro v id e some y e a r -r o u n d b u s i n e s s . A d d i t i o n a l l y , one co uld no te t h a t not a l l c o u n t i e s inc lud ed in t h e s e l e a d i n g s t a t i s t i c s a r e c o a s t a l c o u n t i e s . Such c o u n t i e s as Crawford, Otsego and Roscommon c o u n t i e s a r e in la n d counties. A review o f t h e f i g u r e s can a l s o i n d i c a t e t h a t in most c a s e s t h e t h i r d q u a r t e r i s t h e most p r o d u c t i v e in terms o f d o l l a r v a l u e s . One method o f examining t h e d a t a might be t o conduct a co mp ar at iv e a n a l y s i s o f t h e s e f i g u r e s f o r a sampling o f c o u n t i e s q u a r t e r t o q u a r t e r and y e a r t o year. Fig ur e 4, Q u a rt e r t o Q u a r te r Changes ( + ) , ( - ) , ( 0 ) , in Hotel/Motel Base Q u a r te r AlDena 1983 Use Tax Sales P e r c e n t o f Total Per C a p i t a S a le s P e r c e n t Tot al Year Q u a r te r s (1) (2) (3) * * * * * + + + + + + + + + + * * * * * + + + + + + + + + + * * + + + + + + + + + * + + + + * - * + + + + * + + + + * (4) _ - Grand T r a v e r s e Use Tax Sales P e r c e n t o f Total Per C a p i t a S a le s P e r c e n t Total Year _ - Genesse Use Tax Sales P e r c e n t o f Total Per C a p i ta S a le s P e r c e n t Tot al Year * * * _ - Kent Use Tax Sales P e r c e n t o f Total Per C a p i ta S a le s P e r c e n t Tot al Year * * * - Wavne Use Tax Sales P e r c e n t o f Total Per C a p i t a S a le s P e r c e n t Total S a le s * . . * * + + + + - * * * * * + + + + _ Oakland Use Tax Sales P e r c e n t o f Tot al Per C a p i t a S a l e s P e r c e n t Tot al Year F ig ur e 4. - + + _ + Q u a r te r t o Q ua rt e r Changes (+ ) , ( - ) , ( 0 ) , in H o t e l / Motel Use Tax f o r S e l e c t e d Counties 1983 - Use t a x f o r S e l e c t e d Co unt ie s 1983, i l l u s t r a t e s p o s i t i v e (+) and n e g a t i v e ( - ) changes in h o t e l / m o t e l use t a x f o r s e l e c t e d c o u n t i e s in 1983. This type o f p a t t e r n i n d i c a t e s a b u i l d up from t h e f i r s t q u a r t e r t o t h e t h i r d q u a r t e r which i s g e n e r a l l y t h e s t r o n g e s t t o u r i s m season and then a d e c l i n e in t h e f o u r t h q u a r t e r . As po in te d o u t , t h i s i s i n d i c a t i v e o f Michigan t o u r i s m having a de gre e o f s e a s o n a l i t y . The a b s t r a c t , a f t e r 1983, p o i n t s out t h e p e r c e n t a g e change in each q u a r t e r on a y e a r t o y e a r basis. Averages f o r t h e 1983 y e a r a re based on av erage county p o p u l a t i o n o f ap pr ox im at ely 111,000 and a weighted average s a l e s t a x f i g u r e f o r each quarter. Based on t h e s e f i g u r e s , county averages e x c l u s i v e o f ou t o f s t a t e r e p o r t i n g a r e as fo l l o w s : Q u a rt e r 1 Per C ap it a S a l e s : $ 4. 88 Q u a r te r 2 Per C ap it a S a l e s : $ 6.91 Q u a r te r 3 Per C ap it a S a l e s : $11.38 Q u a r te r 4 Per Cap it a S a l e s : $ 6.33 This r e p r e s e n t s a n o t h e r method by which a county could measure and guide i t s performance. One could compare i n d i v i d u a l f i g u r e s with weighted av er ag e s f o r t h e s t a t e , n o t i n g t h a t pe r c a p i t a s a l e s f i g u r e s c o n t r o l f o r p o p u l a t i o n in each co unt y. o u t-o f-s ta te reporting. Another f a c t o r t o be c o n s i d e r e d should be t h e In each q u a r t e r , t h e o u t - o f - s t a t e r e p o r t i n g f i g u r e s a re t h e predominant o b s e r v a t i o n s in terms o f d o l l a r o u t p u t . is in d ic a tiv e of the Michigan. This l a r g e ch ain pres enc e in t h e h o t e l / m o t e l i n d u s t r y in I t i s very d i f f i c u l t t o d i f f e r e n t i a t e c h ain r e p o r t i n g in t h e s t a t e usi ng t a x f i g u r e s . This co u ld , however, be c a r r i e d out a t t h e l o c a l l e v e l with f i r s t h a n d knowledge o f such p r o p e r t i e s and t h e c o o p e r a t i o n of these businesses. The a b s t r a c t allows t h e r e a d e r t o follow t h e s e (and anyone e l s e s ) county th ro u g h o u t f o u r y e a r s . As one might e x p e c t , t h e s e p a t t e r n s g e n e r a l l y ext end f o r 1983 through 68 1986. A s i m i l a r re vie w o f 1986 f o r t h e s e same c o u n t i e s i s i l l u s t r a t e d in F ig ure 5, Q u a r t e r t o Q u a r t e r Changes (+ ) , ( - ) , ( 0 ) , in Hotel/Motel Use Tax f o r S e l e c t e d Co un tie s 1986. One can n o t e t h a t in Alpena County p a t t e r n s remained t h e same, and p a t t e r n s were c l o s e l y matched in Grand T r a v e r s e County w it h t h e e x c e p t i o n on a d d i t i o n a l p o s i t i v e c a t e g o r y though t h i s i s n ot unusual give n t h e o v e r a l l growth o f t h e Grand T r a v e r s e a r e a . Table 5 i l l u s t r a t e s county av erage p e r c a p i t a s a l e s f i g u r e s f o r each q u a r t e r 1983-86. Table 5. Hotel/Motel Use Tax Per C a p i t a S a le s (Countv Averages! Quarters 1983 1984 1985 1986 1 2 3 4 $ 4.8 8 6.91 11.38 6.33 $ 5.6 6 7.61 10.98 6 .6 4 $ 6.10 8. 14 12.37 7.23 $ 6.69 8.9 8 13.16 7.54 The h o t e l / m o t e l p e r c a p i t a s a l e s f i g u r e s i n d i c a t e t h e r e l a t i v e growth o f t h e h o t e l / m o t e l use t a x segment thr ou gh ou t t h e s t a t e . As i n d i c a t e d , each shows growth y e a r t o y e a r and each i l l u s t r a t e s t h e t h i r d q u a r t e r s t r e n g t h o f t h e Michigan t o u r i s m i n d u s t r y . The t h i r d q u a r t e r being th e s t a t e ' s o v e r a l l b e s t t o u r i s m season in terms o f d o l l a r s g e n e r a t e d through t h e r e n t a l o f h o t e l / m o t e l rooms. The a b s t r a c t i s a u s e f u l pl a n n in g t o o l and, i f used p r o p e r l y , could a s s i s t in t o u r i s m pl a n n in g and management d e c i s i o n s . Users could monitor one co un ty o r t h e s t a t e and be a b l e t o make ass ess me nts o f to u r i s m activity. One w i l l a l s o n o t e t h a t t h e p o p u l a t i o n o f a county does not always make i t t h e l a r g e s t g e n e r a t o r o f t o u r i s m use t a x . I f one examines 1986, one would n o te t h a t by p o p u l a t i o n Wayne County i s ranked number one, y e t number two Oakland county g e n e r a t e s more use t a x . Another example i s Based on -35-til 1986 Alpena (1) Use Tax S a le s P e r c e n t o f Total Per C a p i ta S a le s P e r c e n t To ta l Year 0 Grand T r a v e r s e Use Tax S a le s P e rc e n t o f Total Per C a p i ta S a le s Pe r c e n t Tot al Year + + + + Q u a rt e rs (2) (3) (4) + + + + - 0 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Genesse Use Tax S a le s P e rc e n t o f Total Per C a p i ta S a le s P e r c e n t Total Year + + + + + + Kent Use Tax S a le s P e r c e n t o f Total Per C ap i ta S a le s P e rc e n t Total Year Wavne Use Tax S a le s P e rc e n t o f Total Per C a p i ta S a le s Pe r c e n t Total Year Oakland Use Tax S a le s P e rc e n t o f Total Per C a p i ta S a le s P e r c e n t Total Year F ig ure 5. Q u a r te r t o Q u a r te r Changes (+ ) , ( - ) , Use Tax f o r S e l e c t e d Counties 1986 ( 0 ) , in Hotel/Motel - Kent County which g e n e r a t e s more use t a x than Macomb and Genesse combined but has a s m a l l e r p o p u l a t i o n . I f one examined pe r c a p i t a s a l e s in q u a r t e r one, t h e number one ra n ki n g would go t o Crawford County, which has a p o p u l a t i o n o f j u s t over nin e thous and . In t h e t h i r d q u a r t e r t h e number one ra n k in g f o r p e r c a p i t a s a l e s would be Mackinac (10,000 p o p u l a t i o n ) c ounty by ove r two hundred d o l l a r s . What t h i s i l l u s t r a t e s i s t h a t use t a x based s a l e s t o t a l s a r e t h e l a r g e s t f o r l a r g e m e t r o p o l i t a n a r e a s but a re p o s s i b l y more s i g n i f i c a n t in r u r a l c o u n t i e s where per c a p i t a s a l e s may be above a v e r a g e . Muskegon County, which g e n e r a te d $1.29 p e r r e s i d e n t in s a l e s revenue (4th Q ua rt e r) might look t o nearby Ottawa County which r e p o r t e d ove r $3.00 pe r c a p i t a s a l e s w hi le t h e i r p o p u l a t i o n s a r e v i r t u a l l y t h e same. An example o f i n d i v i d u a l county (Grand T r a v e r s e ) d a t a i s pro vi de d in Table 6, to i l l u s t r a t e th e type o f d a t a county p l a n n e r s and managers could e x t r a c t from t h i s s t a t i s t i c a l a b s t r a c t . Using t h i s summary as a g u i d e , u s e r s o f t h e a b s t r a c t can d i s c o v e r p a t t e r n s in t h e d a t a . For example, one can see t h a t each y e a r t h e h i g h e s t s a l e s t a x f i g u r e s a r e in q u a r t e r (3) and t h e low est in q u a r t e r ( 1 ) . One might a l s o review t h e d a t a y e a r t o y e a r by q u a r t e r to d i s c o v e r t h a t a s i g n i f i c a n t i n c r e a s e oc cu r re d in each q u a r t e r between 1983 and 1984 followed by a s m a l l e r growth r a t e a f t e r t h a t in q u a r t e r (1) o f t h e fo ll ow in g y e a r . Q u a r te r (2) showed an i n i t i a l b u r s t '83 to '84 and a l e v e l '84 t o '85 and a n o t h e r s i g n i f i c a n t i n c r e a s e in ' 8 6 . Q u a rt e r (3) grew s t e a d i l y a t s u b s t a n t i a l amounts i n d i c a t i n g a s t r o n g e r high season y e a r t o y e a r . however, showed an i n i t i a l The f o u r t h q u a r t e r , i n c r e a s e then a d e c l i n e and th e n an i n c r e a s e . This summary t a b l e p r e s e n t s a v a s t amount o f in f o r m a t i o n . Noting th e d i s p a r i t y among pe r c a p i t a s a l e s f i g u r e s , one might conclude t h a t Grand 71 Table 6. Grand T r a v e r s e County Hotel/Motel Use Tax 1983-86 Use Tax ___________________________ Q u a r te r s ______________________ m 1983 1984 1985 1986 $55,112 92,792 91,616 96,498 (2) $113,833 167,671 166,610 193,077 (3) m $264,727 348,561 435,987 492,142 $ 85,448 122,470 96,294 153,067 Per C ap it a S a le s i l l 1983 1984 1985 1986 $25.10 41.80 41.72 43.94 121 $51.84 76.35 75.87 87.92 III l i l $120.55 158.73 198.54 224.11 $38.91 55.77 43.85 69.70 P e rc e n t o f Total Year 1983 1984 1985 1986 111 121 III III 1 0 . 6% 21.9% 23.0 51.0% 47.7 55.2 52.6 16.5% 16.8 12.2 16.4 12. 6 11.6 10.3 21. 1 20.7 Per c e nt ag e Change Year t o Year (Ex. Q u a r te r 1 1983 t o Q u a r te r 1 19841 1983 Base Year 1984 1985 1986 , (!) _I2I_ ... + 38.5% .2 + 5.3 + 47.3% + 31.7% + 25.1 + 12.9 - .6 + 15.9 —Cil + 43.3% - 21.4 + 59.0 72 T r a v e r s e County needs t o c o n c e n t r a t e on i t s o f f season tim e s i n s t e a d o f b u i l d i n g on t h e e x i s t i n g high sea so n. Some e f f o r t s a r e e v i d e n t in t h i s r e s p e c t w it h t h e Winter Cherry F e s t i v a l in Tr a v e rs e C i t y . The d a t a in Table 6 a l s o h e l p s t o e l u c i d a t e t h e f i g u r e s even f u r t h e r showing 1985 t o be a r e c e s s i o n y e a r f o r Grand T r a v e r s e . i n c r e a s e in t h e 1986 f o u r t h q u a r t e r . The t a b l e a l s o i n d i c a t e s a s tr o n g The same type o f i n d i v i d u a l a n a l y s i s can be done f o r each v a r i a b l e f o r i n d i v i d u a l c o u n t i e s and t h e pre ced ing d i s c u s s i o n w i l l s e r v e as a guide f o r such an a n a l y s i s . Hotel/Motel S a le s Tax (See Vol. 2 , Appendix G) One might assume t h a t use t a x . t h i s v a r i a b l e should c o i n c i d e wit h h o t e l / m o t e l A review o f s i m i l a r t a b l e s produced in t h e use taxsection comparing county average p e r c a p i t a s a l e s f i g u r e s i s shown in Table 7. This t a b l e r e f l e c t s t h e same a p p r e c i a t i o n f o r t h e Michigan sea sons but not Table 7. Quarters Hotel/Motel Per C ap it a S a le s (County Average) 1983 1984 1985 1986 1 $4.41 $4.83 $4.78 $5.11 2 5.56 5.60 5.66 6.56 3 7.44 7.36 7.20 8.26 4 5.62 5.53 5.41 6.43 t h e same growth y e a r t o y e a r . In 1986 in t h e h o t e l / m o t e l s a l e s t a x c a t e g o r y , Oakland County was by f a r t h e l e a d e r in s a l e s rev en ue. In t h e high t o u r i s t s e a s on , q u a r t e r ( 3 ) , Mackinac County again b oa st e d t h e l a r g e s t per c a p i t a s a l e s . County had a mere 14 c e n t s pe r c a p i t a . While Cass In t h e o f f season q u a r t e r ( 1 ) , th e h i g h e s t p e r c e n t a g e f i g u r e s were in Char lev oi x County which may i n d i c a t e a 73 s t r o n g w i n t e r season f o r t h e c oun ty. Other to p c o u n t i e s in t h i s pe r c a p i t a s a l e s c a t e g o r y were Gogebic, Leelanau, Roscommon, Crawford and Keweenaw. A rev ie w o f t h e above f i g u r e s could produce good in fo rm at io n f o r p l a n n in g i f i n t e r p r e t e d c o r r e c t l y . One should a l s o examine t h e s e f i g u r e s in c o n j u n c t i o n w it h use t a x f i g u r e s as complementary t o o l s . By a wide margin, o u t - o f - s t a t e r e p o r t i n g c o n t i n u e s t o dominate a l l c o u n t i e s in terms o f t o t a l amount o f t a x e s r e p o r t e d . This c o i n c i d e s with use t a x r e p o r t i n g and i s r e f l e c t i v e o f a s t r o n g pr e s en c e o f chain o p e r a t o r s in t h e s t a t e . The f i g u r e s would a l s o i n d i c a t e t h o s e c o u n t i e s with l i t t l e t o no h o t e l / m o t e l b u s in e s s in t h e i r a r e a . Counties such as Shiawassee r e p o r t e d p e r c e n t a g e changes (1985 t o 1986) o f n e g a t i v e n i n e t y p e r c e n t in q u a r t e r (1) and p o s i t i v e i n c r e a s e o f 663, 39983 and 14881 p e r c e n t in q u a r t e r s 2, 3 and 4. While t h e s e do not r e p r e s e n t s i g n i f i c a n t d o l l a r amounts in terms o f t h e e n t i r e s t a t e , one might say t h e s e are s i g n i f i c a n t fo r individual counties. A review o f t o t a l and average f i g u r e s a l s o i n d i c a t e change i n t h e s e v a r i a b l e s . Tot al s a l e s t a x f o r t h e h o t e l / m o t e l c a t e g o r y f o r t h e s tu dy p e r io d were: 1983 $ 9,720,161 1984 10,912,722 1985 11,714,238 1986 13,301,231 Approximate compounded growth - 11% These f i g u r e s i n d i c a t e an i n c r e a s e in o v e r a l l s a l e s t a x . With t h i s in mind, i t should be noted t h a t t h e s e f i g u r e s and a l l f i g u r e s in th e s t a t i s t i c a l a b s t r a c t s have not been a d j u s t e d f o r i n f l a t i o n . One reason f o r t h i s i s t h a t u s e r s o f t h e d a t a a re not always s u re o f t h e b e s t way t o 74 p r o p e r l y u t i l i z e d a t a in t h i s form. Users o f t h e d a t a who have c a l l e d th e MTTRRC have o f t e n asked how t o use t h e d a t a in t h i s form. u s e r s ) a r e more c o m f o r ta b le u t i l i z i n g c u r r e n t d o l l a r s . They ( t h e This a t t i t u d e r e q u i r e s t h a t i n d i v i d u a l s be aware o f t h e l i m i t a t i o n s o f t h i s ty pe o f d a t a . A d d i t i o n a l l y , t h e l a c k o f a q u a l i t y d e f l a t o r index f o r t h e s e v a r i a b l e s makes t h e s e l e c t i o n o f any index q u e s t i o n a b l e . One such d e f l a t o r index f o r h o t e l s and m ote ls i s p u b li s h e d by Laventhol & Horwath (L&H), a n o t h e r i s p u b l i s h e d a t t h e n a t i o n a l l e v e l by t h e U.S.T.D.C. These a r e s p e c i a l i z e d i n d i c e s developed a t t h e r e g io n a l o r n a t i o n a l l e v e l . L&H c r e a t e s i n d i c e s based on t h e i r c l i e n t base and i s h e a v i l y i n f l u e n c e d by l o d g in g p r o p e r t i e s in t h e s o u t h e a s t e r n p a r t o f t h e s t a t e . One can q u e s t i o n t h e u s e f u l n e s s o f t h i s type o f index in o t h e r a r e a s o f Michigan. This same problem e x i s t s f o r a l l t h e v a r i a b l e s and h i g h l i g h t s t h e need f o r p o t e n t i a l u s e r s o f t h e d a t a t o be aware o f t h i s l i m i t a t i o n o f t h e d a t a . Food S e r v i c e S a l e s Tax (See Vol. 2, Appendices H, I , and J ) Food s e r v i c e , as d i s c u s s e d p r e v i o u s l y , i s an i m p o r ta n t segment o f th e h o s p ita lity industry. In t h e a b s t r a c t , t h r e e ty p e s o f food s e r v i c e s b u s i n e s s e s have been i n c l u d e d . These a r e 1) fa m ily r e s t a u r a n t , 2) f a s t food and 3) t a v e r n s and c l u b s . Table 8 r e p r e s e n t s a summary o f food service per capital sales. These summary f i g u r e s note t h a t d i f f e r e n t segments o f food s e r v i c e have been examined. The t h i r d q u a r t e r g e n e r a l l y remains t h e high d o l l a r month w it h t h e e x c e p t i o n o f fa m il y r e s t a u r a n t s in 1984. The f i g u r e s g e n e r a l l y d e c l i n e s l i g h t l y in t h e f o u r t h q u a r t e r , though t a v e r n and cl ub f i g u r e s remain very c o n s t a n t , va ryi ng only w i t h i n a small ra n g e . Fa st Food a p p e a rs t o have a r e g u l a r c y c l e peaking in t h e t h i r d q u a r t e r and then Table 8. Food S e r v i c e Per C ap it a S a le s (County Averages) ________________________Q u a rt e rs ___________ 131 141 $55.34 14.16 20.29 $59.92 15.68 20.98 $54.78 13.70 20.27 $52.29 13.36 20.31 $59.25 17.29 21.31 $44.04 18.74 22.16 $59.77 16.33 $52.49 15.42 20.28 $60.74 19.81 22.13 $64.78 20.89 23.91 $59.38 18.24 22.51 $55.05 17.25 21.15 $64.13 22.46 23.13, $68.34 23.56 24.03 $62.94 20.98 25.31 III 121 $49.04 10.91 20.98 1983 Family F a s t Food Taverns & Clubs 1984 Family F a s t Food Taverns & Clubs 21.10 1985 Family F a s t Food Taverns & Clubs 1986 Family F a s t Food Taverns & Clubs 76 falling slightly. Family r e s t a u r a n t s te nd t o have t h e same c y c l e w ith an e x c e p ti o n in 1984. ty p e s o f o p e r a t i o n . In t h e s e t h r e e segments, t h e r e i s a l a r g e d i s p a r i t y of Reviewing t h e most c u r r e n t y e a r (1986) f o r fam ily r e s t a u r a n t s , one can see t h a t t h e f i r s t n in e c o u n t i e s , in terms o f s a l e s t a x , a re t h e nin e most populous c o u n t i e s . This i s an i n d i c a t o r t h a t a l a r g e p a r t o f food s e r v i c e demand i s from l o c a l r e s i d e n t s and not tourists. Again, in t h i s segment one s ee s o u t - o f - s t a t e r e p o r t i n g having a major impact on fa m il y r e s t a u r a n t s a l e s a v er ag in g from 18 t o 24 p e r c e n t of to ta l sales tax reported into the s t a t e . This s i g n a l s t h e pr e s en c e o f a l a r g e number o f c ha in r e s t a u r a n t s t h a t a r e based ou t o f s t a t e . One example i s t h e Bob Evans R e s t a u r a n t c h a in based in Ohio. An examination o f t h e i n d i v i d u a l p e r c a p i t a s a l e s f i g u r e s i n d i c a t e s t h a t Grand T r a v e r s e and Calhoun c o u n t i e s have t h e h i g h e s t f i g u r e s . Grand T r a v e r s e County i s a l e a d e r in t h e s e a r e a s because o f i t s importance as a to u r i s m d e s t i n a t i o n . Calhoun County on t h e o t h e r hand s e r v e s as an example o f t h e c h ain r e p o r t i n g problem t h a t e x i s t s w i t h i n t h e s t a t e o f Michigan. Calhoun County i s t h e c o r p o r a t e h e a d q u a r t e r (M a rs ha ll) o f Win Schuler's re s ta u ra n t chain. This means t h a t a l l s a l e s t a x r e p o r t e d by S c h u l e r ' s R e s t a u r a n t s d e s p i t e t h e i r l o c a t i o n s a re r e p o r t e d from Calhoun County. One might a l s o n o t e t h a t assuming an equal p r o p e n s i t y t o d i n e out by t h e l o c a l r e s i d e n t s o f each co un ty, t h o s e c o u n t i e s with above median spending should s t a n d o u t as " t o u r i s t " c o u n t i e s . These f i g u r e s a l s o encompass a l a r g e number o f s m a l l e r independent o p e r a t i o n s which a r e e x tr e m e l y im p o r ta n t f o r t h e i r r e s p e c t i v e a r e a s . th ird quarter s t i l l category. The a p p e a rs as t h e h i g h e s t c o n c e n t r a t i o n o f s a l e s in t h i s The county av era ge f o r s a l e s t a x i s $1,117,991 which s i n c e t h e 77 s a l e s t a x i s f o u r p e r c e n t t r a n s l a t e s t o $27,949,781 in s a l e s f o r 1986. O u t - o f - s t a t e r e p o r t i n g i s t h e l a r g e s t segment by more than $50 m i l l i o n in sales. In t h e f a s t food segment f i r s t q u a r t e r ( g e n e r a l l y t h e s l o w e s t ) , t h e l a r g e r p op ul a te d c o u n t i e s r e p r e s e n t t h e l e a d e r s in terms o f t o t a l s a l e s taxes collected. In t h a t same f i r s t q u a r t e r , Dickinson County in t h e Upper P e n in s u la had a $70.49 p e r c a p i t a s a l e s f i g u r e compared t o a mean of $17.20. In f i r s t q u a r t e r 1986, more than twenty c o u n t i e s po s te d g r e a t e r t h a n one m i l l i o n d o l l a r s in s a l e s , and in t h e t h i r d q u a r t e r t h e r e are tw e n t y - n i n e c o u n t i e s w it h o v e r one m i l l i o n d o l l a r s in f a s t food s a l e s . Other a r e a s o f note a r e t h e changes t h a t occur from t h e pre v io u s y e a r in t h a t q u a r t e r e . g . t h e f i r s t q u a r t e r in 1983 compared t o t h e f i r s t q u a r t e r in 1984. dramatic. These p e r c e n t a g e changes in many c a s e s a r e very While Genesse County d e c r e a s e d .5 p e r c e n t in t h e t h i r d q u a r t e r , Barry County i n c r e a s e d by almo st 600 p e r c e n t . A na ly si s o f t h e s e changes co uld a s s i s t in f u t u r e p la nn in g and perhaps a s t a b i l i z a t i o n o f s a l e s re v e n u e s . I t should be noted here t h a t changes o f t h i s magnitude (Barry County) a r e almost always due t o a small number o f fi r m s in a p a r t i c u l a r b u s i n e s s in a c ounty , computer e r r o r , o r t a x r e p o r t i n g problems. With t h i s in mind t h e u s e r s o f t h e a b s t r a c t should note such l a r g e changes with caution. The t a v e r n s and c lu b s food s e r v i c e segment in c l u d e s a wide v a r i e t y of operations. A review o f t h e same (1986 q u a r t e r s ) r e v e a l s t h a t in t h i s c a t e g o r y o u t - o f - s t a t e w h il e r e p o r t i n g more than $600,000 in s a l e s t a x , i s no t t h e dominate r e p o r t i n g a r e a . Wayne County i s e a s i l y t h e l a r g e s t g e n e r a t o r o f s a l e s t a x f o r t a v e r n s and c l u b s . Other c o u n t i e s r e p o r t i n g 78 l a r g e amounts o f t a v e r n s and c lu b s s a l e s t a x a r e Genesse, Ingham, Kent, Macomb and Oakland c o u n t i e s . in terms o f p o p u l a t i o n . These c o u n t i e s a r e a l s o t h e top s i x c o u n t i e s I t i s a l s o s i g n i f i c a n t t o no te t h a t in t h i s c a t e g o r y t h e r e a r e more s t a t e and l o c a l l y o p e r a t e d b u s i n e s s e s . The t a v e r n s and c l u b s t a x p a t t e r n s appear t o be t i e d very c l o s e l y t o county populations. I f one uses t h e p e r c a p i t a s a l e s measure, Emmet, Alcona, Mackinac, and Lake c o u n t i e s a l l with r e l a t i v e l y small p o p u l a t i o n b a s e s , dominate t h e statistics. (This q u a r t e r (3) a l s o r e p r e s e n t s more tha n t w e n t y - f i v e p e r c e n t o f t h e y e a r l y s a l e s in almost a l l c o u n t i e s . ) A review o f t h e f i r s t q u a r t e r r e v e a l s t h a t t h e same l a r g e po pula te d c o u n t i e s dominate t h e revenue s t a t i s t i c s . In t a v e r n s and cl u b s pe r c a p i t a s a l e s , Emmet County remains t h e l e a d e r w ith Lake, Ontonagon and Roscommon Cou nti es a l s o r e p o r t i n g high p e r c a p i t a s a l e s . The only drop out in t h i s a r e a i s Mackinac County due t o t h e s e a s o n a l i t y o f a l l o p e r a t i o n s in t h i s c ou nt y. This segment a ppe ar s more so than any o t h e r t o be t i e d t o th e county's population. An i n s p e c t i o n o f t h e 1986 (1) d a t a i n d i c a t e s a p e r f e c t c o r r e l a t i o n between p o p u l a t i o n and s a l e s revenue u n t i l Washtenaw County in t h e seven th ranked p o s i t i o n (See Appendix J ) . There a r e o t h e r v a r i a t i o n s from th e c o r r e l a t i o n t o p o p u l a t i o n but a review o f a l l q u a r t e r s i n d i c a t e a c l o s e t i e between p o p u l a t i o n and t a v e r n s and c l u b s s a l e s t a x . S o o r t i n a Goods S a le s Tax (See Vol. 2, Appendix K) This c a t e g o r y i n c l u d e s a wide v a r i e t y o f p r o d u c t s , many o f which a re n o t norma lly c o n s i d e r e d t o be to u ri sm r e l a t e d . However, t h e many pro d u c ts t h a t a r e in c lu d e d in t h i s c a t e g o r y ( e . g . f i s h i n g l u r e s , swim g e a r , huntin g 79 s u p p l i e s , ski equipment, e t c . ) make i t an im p o r ta n t measure o f to u ri sm sp end ing . A review o f t h e p e r c a p i t a s a l e s f i g u r e s f o r t h e y e a r s 1983-86 f o ll o w : Table 9. O u a r te r s 1 2 3 4 S p o r ti n g Goods Per C a p i t a S a l e s (County Averages) 1983 1984 $5.31 8.02 8.01 7.95 $5.63 9.14 8. 3 5 8.4 3 1985 1986 $ 6 .4 0 10.40 9 .8 4 10.21 $ 6.86 11.43 11.07 11.20 One no te s t h a t t h e second q u a r t e r i s t h e h i g h e s t p e r c a p i t a s a l e s quarter. Per c a p i t a s a l e s d e c l i n e s l i g h t l y in t h e t h i r d q u a r t e r and remains c l o s e t o and even s l i g h t l y i n c r e a s i n g in t h e f o u r t h q u a r t e r . One a l s o no te s t h a t t h e r e have been s t e a d y i n c r e a s e s in d o l l a r amounts f o r the four years. One q u i c k l y sees t h a t t h e l a r g e s t r e p o r t i n g c o u n t i e s a re t h o s e with the la r g e s t populations. O u t - o f - s t a t e r e p o r t i n g does not account f o r th e l a r g e s t r e p o r t e d t a x f i g u r e but does r e p r e s e n t over e i g h t e e n p e r c e n t o f the to ta l sale s tax. Emmet, Keweenaw and Oakland c o u n t i e s a r e t h e l a r g e s t per c a p i t a s a l e s figures. Several o b s e r v a t i o n s can be made c o n c e rn in g t h e s p o r t i n g goods d a t a reviewed so f a r . The second q u a r t e r which i s t h e s p r i n g season i s t h e l a r g e s t in p e r c a p i t a s a l e s . This would c o i n c i d e w it h t h e r e t u r n o f t h e f i s h i n g season (as well as g o l f , t e n n i s , e t c . ) in Michigan and th e need f o r new equipment. One can a l s o n o te t h a t though Oakland and Emmet c o u n t i e s a r e very d i f f e r e n t , th e y can be seen as o r i g i n and d e s t i n a t i o n counties. People w i l l o f t e n buy most o f t h e i r r e c r e a t i o n a l equipment in 80 t h e i r home county and j u s t buy supplementary equipment a t t h e i r destinations. The s a l e s f i g u r e s ove r q u a r t e r s 2 through 4 a r e f a i r l y c l o s e and do no t p o i n t out a d i s t i n c t sea so n. This would be i n t u i t i v e l y c o r r e c t in t h i s c a t e g o r y due t o t h e a l l - s e a s o n r e c r e a t i o n a l a c t i v i t i e s t h a t t a k e p l a c e in t h e s t a t e r e : h u n t i n g , f i s h i n g , ic e f i s h i n g , snowmobiling, e t c . This c ou ld a l s o be a t t r i b u t e d t o s p o r t i n g goods equipment s a l e s a t Christmas ti m e . C l o t h i n g S a l e s Tax (See Vol. 2, Appendices L and M) The two b u s i n e s s t y p e s inc lu de d he re a re m e n ' s / b o y ' s c l o t h i n g and women's c l o t h i n g . These a r e not t r a d i t i o n a l to u ri sm i n d i c a t o r s but should g i v e an overview o f t h e n o n -t o u r is m market. However, one should no te t h a t shopping has become a major to u r i s m a c t i v i t y in d e s t i n a t i o n a r e a s . An example o f t h i s might be a r e a s n e a r t h e Canadian bo a rd e rs t h a t a r e f r e q u e n t e d by f o r e i g n v i s i t o r s d u ri n g f a v o r a b l e exchange times with th e U.S. d o l l a r . A d d i t i o n a l l y , t h e r e i s a g r e a t deal o f shopping done by r u r a l r e s i d e n t s in l a r g e m e t r o p o l i t a n a r e a s . Many time s t h e s e m e t r o p o l i t a n a r e a s a r e not in t h e same c ounty . A review o f m e n ' s / b o y ' s c l o t h i n g p e r c a p i t a s a l e s f i g u r e s i s as fo l l o w s : Table 10. Men 's/Bo y's C l o t h i n g Per C a p i ta S a le s (County Averages) Q u a rt e rs 1983 1984 1985 1986 ID. m $4.51 4.47 4.41 4.35 $5.38 5.71 5.27 5.26 m $4.97 5.27 5.14 5.16 _ iii $8.44 8.47 7.88 8.15 81 These f i g u r e s i n d i c a t e a t o t a l l y d i f f e r e n t p a t t e r n than f o r t h e o t h e r t y p e s o f b u s i n e s s e s examined th u s f a r . They i n d i c a t e a high seasonal i n f l u e n c e , no t t o u r i s m season but s t r o n g h o l i d a y season spen din g. The f o u r t h q u a r t e r which i n c l u d e s Christmas time i s a s t r o n g s a l e s tim e, and, as one would e x p e c t , t h e f o l l o w i n g y e a r ' s f i r s t q u a r t e r drops o f f substantially. The middle two q u a r t e r s vary s l i g h t l y with t h e second q u a r t e r having a s l i g h t edge in t o t a l p e r c a p i t a s a l e s . This i s an i n d i c a t o r t h a t r e t a i l s a l e s p i c k up over t h e y e a r and might s ig n a l some a r e a s t o a tt e m p t t o develo p a sound shopping base f o r y e a r round s a l e s . An example may be t o u r i s t s who go t o Frankenmuth a re now exposed t o a l a r g e f a c t o r y o u t l e t shopping a r e a by t h e Frankenmuth e x i t on I n t e r s t a t e 75. Thus, a t o u r i s t t r i p may in c l u d e a v i s i t t o Frankenmuth and a shopping s p r e e . areas. These may be two complementary developments in many The p e r c a p i t a s a l e s have remained very c l o s e t o t h e 1984 f i g u r e s th r o ug ho ut t h e f o u r y e a r s being examined. In a l l but t h e t h i r d q u a r t e r , th e actual per c a p it a s a le s decreased s l i g h t l y . The women's c l o t h i n g p e r c a p i t a s a l e s f i g u r e s a re p r e s e n t e d in Table 11. The f i g u r e s i n d i c a t e r e l a t i v e l y th e same p a t t e r n s as m e n ' s / b o y ' s clothing fig u res. They show a d e c r e a s e in a c tu a l p e r c a p i t a f i g u r e s from 1983 t o 1986 in a l l f o u r q u a r t e r s . Table 11. They show t h e h i g h e s t f i g u r e s in the Women's C l o th in g Per C a p i ta S a le s (County Averages) ___________________________ Q u a rt e rs ____________________________ Q u a rt e rs 1983 1984 1985 1986 (1) (2) (3) $8.95 7.82 7.58 8.65 $11.17 9.79 9.40 10.15 $10.55 8.90 9.49 10.26 (4) $13.77 11.85 12.51 12.73 82 f o u r t h q u a r t e r with t h e second q u a r t e r being t h e h i g h e s t p e r c a p i t a spen din g. A re vie w o f t h e s e f i g u r e s f o r 1986 q u a r t e r s (4) and (1) i n d i c a t e s s e v e r a l c o u n t i e s t h a t do n o t r e p o r t any s a l e s t a x . Thi s c oul d i n d i c a t e a d i f f e r e n t r e p o r t i n g sche dul e a n d /o r a complete l a c k o f r e t a i l c l o t h i n g facilities. The m a j o r i t y o f t h e s e c o u n t i e s a r e r u r a l in n a t u r e and one co uld concl ude t h a t r e s i d e n t s t r a v e l t o shop f o r c l o t h i n g . O ut-of-state r e p o r t i n g accounted f o r ove r n i n e t e e n p e r c e n t o f s a l e s in t h e f o u r t h q u a r t e r which i s no t s u r p r i s i n g due t o t h e l a r g e number o f c h a in s t o r e s in t h e s t a t e , as evidenced in any shopping ma ll. Penney s t o r e s . An example would be J . C . The o t h e r h i g h e s t t o t a l spending a r e a s were Genesse, Ingham, Kalamazoo, Kent, Macomb, Oakland and Wayne c o u n t i e s , a l l r e l a t i v e l y high p o p u l a t i o n a r e a s . County per c a p i t a f i g u r e s i n d i c a t e Grand T r a v e r s e , Ingham, Kalamazoo, Macomb, Midland, Oakland, Saginaw and Wexford c o u n t i e s were h i g h e s t in t h e s t a t e . Table 12 i l l u s t r a t e s s a l e s and p e r c a p i t a s a l e s f o r t h e s e c o u n t i e s f o r women's c l o t h i n g 1986 q u a r t e r 1. In t h e s lo w e s t shopping q u a r t e r (1) as i n d i c a t e d by av er ag e p e r c a p i t a s a l e s , t h e same c o u n t i e s p os te d t h e h i g h e s t t o t a l s a l e s . O ut-of-state f i g u r e s accounted f o r over e i g h t e e n p e r c e n t o f t h e t o t a l . Table 12. Comparison o f Total S a le s and Per C a p i ta S a l e s F ig u r e s f o r S e l e c t e d Counties Based on Women's C l o th in g S a l e s Tax 1986 Q u a rt e r 1 County Grand T r a v e r s e Ingham Kalamazoo Macomb Midland Oakland Saginaw Wexford S a le s Per C a p i t a S a le s 348,975 2,103,075 1,369,300 1,506,800 768,650 11,713,100 3,636,200 199,300 $ 6.36 7.63 6.45 2.17 10.45 11.58 15.94 7.94 $ 83 Women's c l o t h i n g f i g u r e s i n d i c a t e o ve r f o r t y p e r c e n t o f r e p o r t e d s a l e s t a x e s were o u t - o f - s t a t e in t h e f o u r t h q u a r t e r o f 1986. The l i s t o f p e r c a p i t a s a l e s f i g u r e s a r e headed by D e l t a , G r a t i o t and Kent c o u n t i e s which show a d i v e rg e n c e from l a r g e p o p u l a t i o n a r e a s . This might a l s o s e r v e as an i n d i c a t i o n o f shopping as a major so urc e o f r e c r e a t i o n a l to u r i s m in t h e s e a r e a s . In t h e t r a d i t i o n a l l y slower f i r s t q u a r t e r , p a t t e r n s remain r e l a t i v e l y t h e same. There a re a l s o complementary t o o l s one can use t o e v a l u a t e t h e d a t a in t h e a b s t r a c t s . Bruekheimer (1962). One such to o l was used by McIntosh (1958) and B a s i c a l l y , t h e p ro c e s s would be as f o l l o w s . For each v a r i a b l e one would f i n d t h e month w ith t h e low est p e r c a p i t a s a l e s and assume t h i s would be t h e p e r i o d with no o r l i t t l e t o u r i s m e x p e n d i t u r e . This f i g u r e would the n be m u l t i p l i e d by twe lve t o r e f l e c t an annual figure. Then m u l t i p l y t h i s f i g u r e times t h e county p o p u l a t i o n t o r e f l e c t an e s t i m a t e d t o t a l r e s i d e n t s a l e s f i g u r e f o r t h e y e a r . This f i g u r e i s the n s u b t r a c t e d from t h e t o t a l s a l e s f i g u r e f o r t h e y e a r ( i . e . , usi ng the abstract). sales. The r e s u l t i n g f i g u r e would th e n be an e s t i m a t e o f t o u ri sm Included in t h e appendix i s an e s t i m a t i o n o f t h e s e s a l e s using q u a r t e r l y d a t a (See Vol. 2, Appendix C). These c a l c u l a t i o n s u t i l i z e d q u a r t e r l y d a t a ( i . e . t h e f i r s t q u a r t e r being t h e low est s a l e s p e r io d was used r a t h e r than t h e lo w e st month). The monthly f i g u r e would, o f c o u rs e , be b e s t t o us e, but i s no t p r e s e n t e d in t h e a b s t r a c t . A d i s t i n c t i o n needs t o be made in t h a t ho te l use t a x i s not i n c lu d e d in t h i s a n a l y s i s because o f t h e n a t u r e o f t h e v a r i a b l e and t h a t use t a x r e p r e s e n t i n g s a l e s o f rooms g e n e r a l l y a r e not l o c a l l y d r i v e n . Inclu de d in t h e appendix a r e e s t i m a t e d r e s i d e n t and t o u r i s m s a l e s f o r t h e fa m ily r e s t a u r a n t segment based on th e 84 p r e v i o u s l y d i s c u s s e d method. One should n o te t h a t t h i s method r e q u i r e s s u b j e c t i v e judgment t o be u s ef u l and a t b e s t s e r v e s onl y as a crude estim ate o f tourism s a l e s . Users should remember t h a t t h e s e f i g u r e s are based on t h e o r i g i n a l s a l e s t a x f i g u r e s and, t h e r e f o r e , a r e s u b j e c t t o th e same d a t a l i m i t a t i o n s d i s c u s s e d e a r l i e r . Another complementary to o l i s t h e g r a p h i c i l l u s t r a t i o n o f d a t a . Such graphs a r e p r e s e n t e d he re t o i l l u s t r a t e f i g u r e s f o r s e l e c t e d c o u n t i e s . Six c o u n t i e s were s e l e c t e d t o i l l u s t r a t e v a r i o u s s t a t i s t i c s . These c o u n t i e s r e f l e c t l a r g e urban c o u n t i e s , t h e medium s i z e c o u n t i e s and the s m a l l e r more removed c o u n t i e s . The c o u n t i e s a r e Alpena ( s m a l l ) and Grand T r a v e r s e ( s m a l l ) , Kent (medium) and Genesse (medium) and Oakland ( l a r g e urban) and Wayne ( l a r g e urban) c o u n t i e s . One should remember t h a t t h e re a so n f o r usi ng g r a p h i c i l l u s t r a t i o n s o f d a t a should be t o e a s e an a i d in i n t e r p r e t a t i o n no t r e p l a c e t h e need for figures. Graphic p r e s e n t a t i o n should be th ou gh t o f as a language c ap a b le o f communicating i n f o r m a t i o n q u i c k l y . Riggleman as f a r back as 1936 knew t h a t n i n e t y p e r c e n t o f our c o n s t r u c t i v e t h i n k i n g i s in terms o f v i s u a l images. For t h e o r d i n a r y b u s i n e s s person t h e typed page must have i t s supplemental language t o help b r i d g e t h e gap between a r b i t r a r y typed symbols o f words and f i g u r e s and t h o s e c l e a r mental images which must be c r e a t e d b e f o r e a c t i o n can be t a k e n . " In t h e t o u r i s m i n d u s t r y in g e n e r a l and t h e p l a n n in g and management in p a r t i c u l a r , t h e r e i s and c o n t i n u e t o be a r e l i a n c e on s t a t i s t i c s . The aver age person f i n d s i t d i f f i c u l t a t tim e s t o u t i l i z e t h e s e s t a t i s t i c s without a s s is ta n c e . One o f t h e g r e a t e s t v a l u e s o f a graph i s i t s use in t h e a n a l y s i s o f a problem (Riggleman, 1936). 85 Graphs o r maps such as t h e one d i s c u s s e d he re f u r n i s h an e x c e l l e n t means f o r f o l l o w i n g t h e t o u r i s m i n d u s t r y and i t s v a r i e t y o f segments a t t h e s t a t e a n d / o r t h e county l e v e l . Graphs, maps o r c h a r t s should as Schmid (1979) s t a t e d have b a s i c o b j e c t i v e s : 1) accurate representation of c le a r fa c ts 2) c l e a r e a s i l y read and und erstood 3) de sig ne d t o a t t r a c t a n d / o r hold a t t e n t i o n As i n d i c a t e d , g r a p h i c d i s p l a y o f d a t a i s o f t e n u s ef u l f o r i n t e r p r e t a t i o n p u rp o s e s. The use o f t h i s ty p e o f i n t e r p r e t a t i o n too l can a l s o a s s i s t to u r i s m p l a n n e r s and b u s i n e s s people a t t h e l o c a l le v e l to b e t t e r u n de rs ta nd t h e d a t a . Provided in t h e fo ll o w i n g pages a re examples o f g r a p h i c s t h a t might be u t i l i z e d t o i l l u s t r a t e t h e s a l e s and use t a x data previously discussed. The f i r s t graph (F ig u re 6) i l l u s t r a t e s t h e p o p u l a t i o n s o f t h e s e l e c t e d c o u n t i e s t h a t w i l l be used t o i l l u s t r a t e t h e g r a p h i c approach t o usi ng secondary d a t a . As one examines t h e p o p u la ti o n o f t h e c o u n t i e s , i t i s noted immediately t h a t Wayne County i s by f a r M ic h i g a n ' s most populous c ou nty . Oakland i s t h e second l a r g e s t county and w i l l be used as th e comp ara tive co unty. The f o u r remaining c o u n t i e s are s i m i l a r in t h e i r p o p u l a t i o n s (Genesse and Kent, Alpena and Grand Traverse). The f i r s t i n d i v i d u a l graph (F ig u re 7, Wayne County Use Tax) p o i n t s out a c o n s t a n t p a t t e r n o f growth with d e f i n i t e s l a c k p e r i o d s . The f i r s t q u a r t e r o f each y e a r being t h e down time f o r ho te l and motel b u s i n e s s e s in t h e county w h il e peak time s occu r in t h e t h i r d q u a r t e r o f each y e a r . Thi s ty p e o f i l l u s t r a t i o n q u i c k l y p o i n t s out t h e t r e n d s and can a ll ow f o r long range pl a n n in g e f f o r t s f o r t o u ri sm in Wayne County. Thi s pl a n n in g may t a k e t h e form o f g e a r i n g up f o r peak time s o r de veloping 86 POPULATION COMPARISON SELECTED COUNTIES 2 .« 2.2 0.8 0 .6 0 .4 0.2 - WAYNE OAKLAND GENESSE I7~71 Figure 6. KENT ALPENA CRD. TRV. P O P U L A T IO N Po pu la ti o n Comparison f o r S e l e c t e d Counties 87 WAYNE COUNTY USE TAX QUARTERLY 1983-86 680 660 640 620 600 580 560 O o or 540 520 500 480 460 4 40 420 8 3 (1 ) 8 3 (2 ) 8 3 (3 ) 8 3 (4 ) 8 4 (1 ) 8 4 (2 ) 8 4 (3 ) 8 4 (4 ) 8 5 (1 ) 8 5 (2 ) 8 5 (3 ) 8 5 (4 ) 8 6 (1 ) 8 6 (2 ) 8 6 (3 ) 8 6 (4 ) a F i g u r e 7: QUARTERS Wayne County H o te l and Motel Use Tax by Q u a r te r 88 a l t e r n a t i v e s t o i n c r e a s e b u s i n e s s d ur in g s l a c k t i m e s . Oakland County (see Figu re 8) has a s i m i l a r growth p a t t e r n , but does not e x h i b i t as deep a d e c l i n e each y e a r as does Wayne County. A comparison o f t h e two graphs a l s o i n d i c a t e Wayne County e x p e r i e n c i n g i t s most d r a m a ti c drop in th e f i r s t q u a r t e r o f 1986. The graph f o r Genesse County (see Figure 9) shows a dr a m a ti c i n c r e a s e in t h i r d q u a r t e r 1983 and a s m a l l e r than average i n c r e a s e in 1984 while 1985-86 remained c o n s t a n t . One might s p e c u l a t e t h a t t h e i n c r e a s e in 1983 was a t t r i b u t e d t o t h e opening o f t h e Auto World theme pa rk . Individuals should be a l e r t f o r r e a s o n s o f such a d r a m a t i c o c cu r re n c e in use t a x , r e s e a r c h i n g t h e cau se s w i l l help t o u nd e rs ta nd f u t u r e changes. County ( F ig u r e 10) i s more c o n s t a n t in i t s r e s u l t s . i l l u s t r a t e a d o l l a r i n c r e a s e from y e a r to y e a r . Kent All t h e g r a p h ic s In a Per C a p i ta Sales comparison graph ( F ig u re 11) o f Alpena and Grand T r a v e r s e c o u n t i e s , i t is de m onst ra te d t h a t t h e s e c o u n t i e s a r e e x p e r i e n c i n g almost o p p o s i t e t r e n d s . Alpena d e c l i n e d from '83 t o ' 8 6 , w hile Grand Tr a v e rs e had i t s g r e a t e s t i n c r e a s e in 1986. O th e r methods o f i l l u s t r a t i o n o f i n d i v i d u a l c o u n t i e s a r e t o compare d i f f e r e n t t a x c a t e g o r i e s c o l l e c t i v e l y , u t i l i z e a p i e c h a r t f o r a l l fo u r y e a r s , and show r e l a t i v e d i f f e r e n c e s q u a r t e r t o q u a r t e r . This type o f v i s u a l r e p r e s e n t a t i o n allow s f o r e x c e l l e n t y e a r t o y e a r comparisons. One could a l s o examine one q u a r t e r a t a time f o r a v a r i e t y o f s a l e s and use tax v a ria b le s . This p i e c h a r t f o r t h e t h i r d q u a r t e r , 1986 f o r Grand T r a v e r s e County (F ig ure 12) shows f a m ily r e s t a u r a n t and h o te l use t a x as t h e dominant a r e a s , h o t e l s a l e s t a x t h e t h i r d l a r g e s t segment and f a s t food, t a v e r n s and c lu b s and s p o r t i n g goods rounding out t h e l i s t . The 89 OAKLAND COUNTY USE TAX QUARTERLY 1983-86 640 620 600 580 560 540 520 ( fl "O K c 500 480 460 440 420 400 380 360 340 320 8 3 (1 ) 8 3 (2 ) 8 3 (3 ) 8 3 (4 ) 8 4 (1 ) 8 4 (2 ) 8 4 (3 ) 8 4 (4 ) 8 5 (1 ) 8 5 (2 ) 8 5 (3 ) 8 5 (4 ) 8 6 (1 ) 8 6 (2 ) 8 6 (3 ) 8 6 (4 ) Q F i g u r e 8: QUARTERS Oakland County H otel and Motel Use Tax by Q u a r te r 90 GENESSE COUNTY USE TAX QUARTERLY 1983-86 140 130 120 - 110 - 100 - (/) "O £ c OO 90 80 70 60 50 40 8 3 (1 ) 8 3 (2 ) 8 3 (3 ) 8 3 (4 ) 8 4 (1 ) 8 4 (2 ) 8 4 (3 ) 8 4 (4 ) 8 5 (1 ) 8 5 (2 ) 8 5 (3 ) 8 5 (4 ) 8 6 (1 ) 8 6 (2 ) 8 6 (3 ) 8 6 (4 ) □ Figure 9. QUARTERS G e n e s s e County H o tel & Motel Use Tax by Q u a r te r 91 KENT COUNTY USE TAX QUARTERLY 1 9 8 3 -8 6 260 250 240 230 - w -o -I 3 O£0 Q 220 - 210 - 200 - 190 180 170 160 150 140 - 120 8 3 (1 ) 8 3 (2 ) 8 3 (3 ) 8 3 (4 ) 8 4 (1 ) 8 4 (2 ) 8 4 (3 ) 8 4 (4 ) 8 5 (1 ) 8 5 (2 ) 8 5 (3 ) 8 5 (4 ) 8 6 (1 ) 8 6 (2 ) 8 6 (3 ) 8 6 (4 ) □ Figure 10: QUARTERS Kent County Hotel & Motel Use Tax by Q ua rte r 92 PER CAPITA SALES FOR ALPENA . 43 , n e g a t i v e t h i r d < .43, o r th o s e Z s c o r e s between z e r o and .43 (+, - ) . Those c o u n t i e s in t h e p o s i t i v e t h i r d a re r e p o r t i n g t a x e s in ex ce s s o f t h e mean, t h o s e in t h e n e g a t i v e t h i r d a r e l e s s th a n t h e average t a x r e p o r t i n g and t h o s e in t h e middle t h i r d a r e d i s t r i b u t e d c l o s e l y around t h e mean. 95 96 There a r e e i g h t y - t h r e e p o s s i b l e Z - s c o r e s c a l c u l a t e d (one p e r county) plus a score fo r o u t - o f - s t a t e re p o rtin g . This study u t i l i z e d Z - s c o r e s to a t t e m p t t o make s a l e s and use t a x e a s i e r t o i n t e r p r e t by mapping t h e Zscores. Mapping t h e Z - s c o r e s c o n s i s t e d o f p l a c i n g a plu s s i g n , + , a minus s i g n , - , on t h e county map based on where t h e Z -s co re f i t on t h e cu rv e. Middle t h i r d c o u n t i e s a re l e f t bla n k . Fig ur e 14, Per C ap it a S a le s Z- Scores 1986, i l l u s t r a t e s t h i s type o f map using 1986 h o t e l / m o t e l use t a x . Visual r e p r e s e n t a t i o n s a s s i s t s t h e u s e r o f t h e d a t a t o more c l o s e l y u n d e rs ta n d t h e s a l e s and use t a x f i g u r e s compared to t h e mean. This pro c e d u re was followed f o r a l l e i g h t use and s a l e s t a x v a r i a b l e s being s t u d i e d on a y e a r l y b a s i s . Mapping c o u ld , o f c o u rs e , be conducted f o r monthly o r q u a r t e r l y d a t a a l s o . The number o f s t a n d a r d d e v i a t i o n u n i t s t h a t marks th e p o r t i o n o f the d i s t r i b u t i o n between t h e mean and any o t h e r va lu e taken on by th e d i s t r i b u t i o n i s c o n v e n t i o n a l l y ex pre sse d in terms o f Z - s c o re s ( P o i s t e r , 1978). The Z- sc or e or s t a n d a r d s co r e c orr e sp ond s t o a p r o p o r t i o n o f th e a r e a under t h e normal c u rv e . The proce dure f o r o b t a i n i n g t h e s e s c o r e s i s t o use t h e f o ll o w i n g e q u a t i o n . a What t h i s amounts t o i s e x p r e s s i n g t h e d i f f e r e n c e between x and t h e mean in terms o f u n i t s o f s t a n d a r d d e v i a t i o n ( P o i s t e r 1978). I n t e r v a l d a t a are o f t e n t ra n s fo rm e d i n t o s t a n d a r d Z s c o r e s in o r d e r to e x p re s s d i f f e r e n t v a r i a b l e s in common u n i t s r e g a r d l e s s o f whether t h e i r frequency d i s t r i b u t i o n approaches a normal d i s t r i b u t i o n ( P o i s t e r , 1978). Thi s a n a l y s i s was conducted in s e v e r a l ph a se s. The f i r s t segment of t h e s tu d y was t o c a l c u l a t e Z - s c o re s usi ng a l l e i g h t y - f o u r c a s e s . The next 97 Figure 14. Hotel/Motel Use Tax Per Capita Sales Z-Scores 1986 98 s t e p was based on p re v io u s a n a l y s i s o f t h e s t a t i s t i c a l a b s t r a c t f o r th e same d a t a . As note d p r e v i o u s l y , o u t - o f - s t a t e r e p o r t i n g i s a s u b s t a n t i a l segment o f many o f t h e b u s i n e s s c l a s s i f i c a t i o n s being examined. These f i g u r e s a r e do m in a te d' by c hai n ownership, based on t h i s f a c t , i t was de ci d e d t o c a l c u l a t e Z - s c o r e s f o r each v a r i a b l e , ex clu d in g t h e o u t - o f s ta t e case, a h i s , o f c o u r s e , means d i f f e r e n t Z - s c o r e s based on a new mean and a new s t a n d a r d d e v i a t i o n . from one a n a l y s i s The changes in Z - s c o re s were a l s o noted t o t h e nex t t o a s s i s t in d e t e c t i n g c o u n t i e s t h a t have or p o t e n t i a l l y have c ha in r e p o r t i n g were no t d r a m a t i c problems. The change in t h e Z- sco res enough t o make t h e s e d i s t i n c t i o n s . ex cl ud e t h e l a r g e p o p u l a t i o n c o u n t i e s from t h e a n a l y s i s . Thene xt s t e p was to I t was f e l t t h a t t h e s e c o u n t i e s - Wayne, Oakland and Genesse were skewing t h e r e s u l t s so t h e y were excluded with o u t - o f - s t a t e r e p o r t i n g from t h e a n a l y s i s . y i e l d e d ve ry This d i f f e r e n t r e s u l t s f o r t h e r e s t o f t h e c o u n t i e s in t h e s t a t e . The p r e l i m i n a r y a n a l y s e s , s t e p s 1 through 4, ob v io u s ly i n d i c a t e d d i f f e r e n t r e s u l t s when c e r t a i n c o u n t i e s were o m i t t e d . I t was de cide d t h a t t o u t i l i z e r e s u l t s from a n a l y s e s t h a t excluded c o u n t i e s , might be c r e a t i n g misleading d a ta. To avoid t h i s s i t u a t i o n and c o n t r o l f o r t h e po p u la ti o n d i f f e r e n c e s , p e r c a p i t a s a l e s f i g u r e s were used in t h e a n a l y s i s . p e r c a p i t a s a l e s Z - sc o re r e s u l t s a re d i s c u s s e d in t h i s s tu d y . Only th e This a n a l y s i s by v i r t u e o f t h e v a r i a b l e (p e r c a p i t a s a l e s ) used t o c a l c u l a t e t h e Z - s c o r e s excluded o u t - o f - s t a t e f i g u r e s which a r e not a s s o c i a t e d with a p a r t i c u l a r population. The d i s c u s s i o n o f t h i s a n a l y s i s w i l l , focus on h o t e l / m o t e l use t a x and fa m i l y r e s t a u r a n t s a l e s t a x d a t a . Figure 15 i l l u s t r a t e s h o t e l / m o t e l ta x p e r c a p i t a s a l e s Z - s c o r e s (1986) f o r a l l c o u n t i e s in Michigan. 99 fcuc « 0 #<#/.« ]0 |, IfA / 050 im * c o * F T fu l t o * J t / 'V Figure 15: Hotel/Motel Use Tax Per Capita S a le s Z-Scores 1986 (Actual Scores) Table 13 summarizes t h e p e r c a p i t a s a l e s Z s c o r e s f o r 1983-1986 f o r t h e e i g h t s a l e s and use t a x v a r i a b l e s . U t i l i z i n g 1986 h o t e l / m o t e l (use t a x ) pe r c a p i t a s a l e s f i g u r e s as an example one n o t i c e s t h a t almost a l l n e g a t i v e c o u n t i e s a r e l o c a t e d in so ut he rn lower p e n i n s u l a where t h e high p o p u l a t i o n a r e a s a r e l o c a t e d (F igu re 14). These n e g a t i v e c o u n t i e s in c lu d e Wayne, Macomb, Ja c ks on, Ingham, Saginaw e t c . t h a t a l l have some l a r g e urban a r e a s in t h e c ounty . i n c l u d i n g Roscommon County. The p o s i t i v e c o u n t i e s a r e a l l n o r t h o f and This can s er v e as an i n d i c a t o r t h a t r e g a r d l e s s o f p o p u l a t i o n a county can a t t r a c t t o u r i s t s . The p o s i t i v e c o u n t i e s in c l u d e f i v e c o u n t i e s from t h e upper p e n i n s u l a , an a r e a c o n s i d e r e d by many t o be a non-economic growth a r e a o f t h e s t a t e . This does not mean t h a t t h e s e c o u n t i e s need not do more pl a n n in g f o r t o u r i s m , b u t i t does i n d i c a t e how t h e y a re o p e r a t i n g in r e l a t i o n s h i p t o o t h e r s in t h i s re g io n and o t h e r a r e a s o f t h e s t a t e . Many o f t h e p o s i t i v e c o u n t i e s a r e r e l y i n g almost s o l e l y on to uri sm which i s not t h e ca se o f many o f th e negative counties. However, one sees t h e d e s t i n a t i o n a r e a s l i k e t h e Keweenaw, Alger County ( P i c t u r e d Rocks Natural Lake Shore, S c h o o l c r a f t County (Seney National W i l d l i f e Refuge), Mackinac, Leelanau, Roscommon (Higgins Lake), C ha rl evo ix e t c . as t h e l e a d e r s in t h e to u r i s m . A d d i t i o n a l l y , t h i s might s e r v e as an example t o n e i g h b o ri n g c o u n t i e s t h a t are c a t e g o r i z e d as middle or n e g a ti v e t h a t b e t t e r p la nn in g may a s s i s t their efforts. These c o u n t i e s might a l s o use t h e p la nnin g e f f o r t s in s u c c e s s f u l a r e a s as a g u id e s in t h e i r own c o u n t i e s . One such example 101 Ta bl e 13. Summary o f Z-Scores f o r Michigan Counties Based on Per C a p i ta S a l e s Data, 1983-1986 Neg ative Middle Positive 40 28 29 29 27 42 41 41 16 13 13 13 7 0 0 0 65 73 74 74 11 Hotel/Motel Use Tax Per C a p i t a S a le s 1983 1984 1985 1986 Hotel/Motel S a l e s Tax Per C a p i t a S a le s 1983 1984 1985 1986 10 9 9 Family R e s t a u r a n t Per C a p i t a S a le s 1983 1984 1985 1986 41 34 30 29 25 34 34 35 17 18 19 19 34 33 30 30 27 25 31 37 22 25 22 16 32 33 34 29 34 32 32 39 17 18 18 15 F a s t Food Per C a p i ta S a le s 1983 1984 1985 1986 Taverns & Clubs Per C a p i ta S a le s 1983 1984 1985 1986 102 Table 13. Negative (C ont'd.) Middle Positive S p o r t i n g Goods Per C a p i t a S a le s 1983 1984 1985 1986 28 28 32 27 43 43 28 43 12 12 12 37 39 36 36 25 24 26 25 21 32 33 32 31 38 36 37 41 13 14 14 11 13 M en' s/ Bo y' s C lo th in g Per C a p i t a S a le s 1983 1984 1985 1986 20 21 22 Women's C lo th in g Per C a p i t a S a le s 1983 1984 1985 1986 103 might be Chippewa County where t h e Soo i s l o c a t e d . Chippewa County has a urban a r e a , a l a r g e urban Canadian n e ig h b o r , a t o u r i s t a t t r a c t i o n (Soo Locks) and a v a r i e t y o f n a t u r a l a t t r a c t i o n s . I t i s surrounded by mostly p o s i t i v e c o u n t i e s , and n e ig hbori ng Luce County in t h e middle c a t e g o r y . Chippewa and Luce c o u n t i e s might b e n e f i t from t h e s u cc e ss o f t h e i r n e ig h b o rs by b e t t e r to u r i s m p l a n n in g . An ex amination o f t h e middle c o u n t i e s in t h e h i g h l y n e g a t i v e so ut h er n re g i o n shows, Kent and Oakland c o u n t i e s having a much b r o a d e r economic base th e n many c o u n t i e s . activities. They a t t r a c t t o u r i s m pl u s o t h e r economic The changes y e a r to y e a r were minimal in t h i s a r e a . In 1984 s e v e r a l c o u n t i e s in t h e so uth er n lower p e n i n s u l a moved from t h e n e g a t i v e t o middle c a t e g o r y . Examples o f such c o u n t i e s a r e Ottawa, Kalamazoo, Calhoun, J ac k s o n , Washtenaw and Wayne. Several o f t h e s e c o u n t i e s f e l l back i n t o t h e n e g a t i v e a r e a t h e f o ll o w i n g y e a r . This ty p e o f movement should s i g n a l u s e r s o f t h e d a t a t o i n v e s t i g a t e what might be going on in t h e accommodation a r e a in t h e s e c o u n t i e s . This a n a l y s i s i s a l s o an example o f t h e d r a m a t i c a l l y d i f f e r e n t r e s u l t s one can g e t us in g t h e same base o f d a t a . This a l s o emphasizes t h e need t o use t h e s e g r a p h i c i n t e r p r e t a t i o n s in c o n j u n c t i o n wit h t h e d a t a i t s e l f ( s t a t i s t i c a l abstract). These r e s u l t s a r e s u r p r i s i n g because t h e m a j o r i t y o f p o s i t i v e a r e a s a r e removed from t h e p o p u la ti o n bases in t h e s t a t e . These d a t a can i l l u s t r a t e f o r a s m a l l e r county t h a t s i z e need not be a major f a c t o r in becoming a t o u r i s m d e s t i n a t i o n . An a n a l y s i s o f 1986 f a m ily r e s t a u r a n t pe r c a p i t a s a l e s i l l u s t r a t e d q u i t e d i f f e r e n t r e s u l t s ( i l l u s t r a t e d in F ig u re 16). The p o s i t i v e , middle and n e g a t i v e c o u n t i e s a re s c a t t e r e d th ro u g h o u t t h e s t a t e . The a c t u a l 104 Figure 16. Family R e s t a u r a n t Per Capita Sa le s Z-Scores 1986 105 number o f c o u n t i e s in each c a t e g o r y changed, y e a r t o y e a r , d e c r e a s i n g th e number o f n e g a t i v e while s l i g h t l y i n c r e a s i n g t h e number o f p o s i t i v e and middle c o u n t i e s . The map r e v e a l e d p o s i t i v e c o u n t i e s in small pop u la te d c o u n t i e s l i k e D e lt a and l a r g e c o u n t i e s l i k e Kent and Oakland. There i s a l s o a s t r o n g base o f p o s i t i v e c o u n t i e s in d e s t i n a t i o n to u r i s m a r e a s r e a f f i r m i n g t h e l i n k between food s e r v i c e and t o u r i s m . The n e g a t i v e c o u n t i e s may be an i n d i c a t o r o f a l a c k o f supply in c e r t a i n a r e a s or a t t r i b u t a b l e ( i n t h e t o u r i s m o r i e n t e d c o u n t i e s ) t o camping and cookouts a t t h e c a m p s it e s . Other n e g a t i v e c o u n t i e s could be examined f o r t r a v e l a c c e ss (highways e t c . ) a n d / o r a re aso n t o s t o p . I f one n o te s t h e r o u t e o f I n t e r s t a t e 75 from t h e D e t r o i t a re a through t h e s t a t e , one n o t i c e s t h a t a l l t h e c o u n t i e s one would d r i v e through on t h i s r o u t e a r e middle or p o s i t i v e . Access may be an i s s u e in t h a t t r a v e l e r s may o r may not be aware o f f a m ily r e s t a u r a n t o p p o r t u n i t i e s in t h e a r e a . Obviously t h e r e a r e any number o f r e a s o n s f o r t h e s e c a t e g o r i e s and t h i s f a c t c o i n c i d e s with t h e need f o r a working knowledge o f t h e a r e a one i s s t u d y i n g . Users o f t h i s r e s e a r c h can u t i l i z e t h e s e t o o l s and combine t h e i r worth t h e i r own knowledge. These t o o l s w il l h o p e f u l l y a c t as i n d i c a t o r s or s i g n a l s o f i s s u e s o r id e a s t h a t have perhaps been overlooked in t h e to u r i s m p la nn in g and managing p r o c e s s . The map could a s s i s t p l a n n e r s t o e v a l u a t e d a t a in a l t e r n a t i v e ways. The Z - s c o r e s and t h e i r i n t e r p r e t a t i o n on a county b a s i s w i l l he lp pl a n n e r s and managers t o e v a l u a t e a l l segments o f t h e to u r i s m i n d u s t r y in t h e i r respective areas. Pl a n n e rs and managers who u t i l i z e t h i s ty p e o f too l w i l l e n a b le the mselves to e x t r a c t t h e maximum i n fo r m a t io n from t h e s a l e s and use t a x d a t a . Users o f t h e d a t a should look f o r changes ove r time, 106 r e l a t i o n s h i p s wit h g e o g r a p h i c a l l y s i m i l a r o r d e m o gr a ph ica lly s i m i l a r counties. They should use t h e s e maps as t o o l s w ith t h e f a c t and f i n d i n g t o o l s a v a i l a b l e t o them. The r e s u l t s o f t h e s e a n a l y s e s however, proved t o be somewhat p r o b l e m a t i c . The b a s i s f o r t h e use o f t h e Z - s c o r e i s t h e normal c u r v e . If one reviews t h e numbers o f c o u n t i e s t h a t f a l l i n t o t h e t h r e e c a t e g o r i e s , i t i n d i c a t e s t h a t t h e p o p u l a t i o n i s no t normal and t h e r e f o r e t h e a n a ly s e s is questionable. For example, one can see t h a t fa m ily r e s t a u r a n t Z -s co re f i g u r e s a r e skewed t o t h e n e g a t i v e s i d e (See Table 13) o f t h e c u r v e . If t h e p o p u l a t i o n were normal, segments might be u s e f u l i n f e r e n c e s might be made con cer nin g t o u r i s m a c t i v i t y in Michigan c o u n t i e s . This a n a l y s i s was o f f e r e d as an a l t e r n a t i v e method o f a n a ly z in g th e data. The Z - s c o r e s i l l u s t r a t e d i f a c o u n ty i s above o r below t h e s t a t e average and s e r v e s as a measure o f performance in d i f f e r e n t segments. Z- s c o r e s might a l s o be h e l p f u l f o r comparison o f d i f f e r e n t v a r i a b l e i . e . f a s t food compared t o h o t e l / m o t e l s a l e s t a x f o r each county t o a s s e s s t h e i r performance in t h e d i f f e r e n t t o u r i s m segments. The a n a l y s i s i l l u s t r a t e s t h e use o f both s t a t i s t i c a l and v i s u a l t o o l s in t h e d a t a s y n t h e s i s p r o c e s s , re -e m p h a s iz in g t h e need t o use a l l t y p e s o f f a c t s and f i n d i n g t o o l s as complementary methods o f u t i l i z i n g d a t a . CHAPTER 8 EXPLORING SECONDARY DATA USING FACTOR ANALYSIS F a c t o r a n a l y s i s i s a pro c e du re f o r i n v e s t i g a t i n g t h e p o s s i b i l i t y t h a t a l a r g e number o f v a r i a b l e s can be d e s c r i b e d by a small number o f f a c t o r s . There a r e m u l t i p l e uses f o r t h i s s t a t i s t i c a l c a p a b i l i t y , but most f r e q u e n t a p p l i c a t i o n s o f t h e method f a l l s i n t o one o f t h e f o l l o w i n g t h r e e categories: 1) e x p l o r a t o r y u s e s , t h e e x p l o r a t i o n and d e t e c t i o n o f p a t t e r n i n g o f v a r i a b l e s w ith a view t o t h e d i s c o v e r y o f new conce pts and a p o s s i b l e r e d u c t i o n o f d a t a , 2) c o n f i r m a t o r y u s e s , t h e t e s t i n g of h y p o t h e s i s about t h e s t r u c t u r e o f v a r i a b l e s in terms o f t h e expected number o f s i g n i f i c a n t f a c t o r s and f a c t o r l o a d i n g s , and 3) uses as a measuring d e v i c e , t h e c o n s t r u c t i o n o f i n d i c e s to be used as new v a r i a b l e s in l a t e r a n a l y s i s ( M i l l e r , 1977). In t h i s s tu d y , i t i s used in an e x p l o r a t o r y way t o c o n t i n u e t o examine and e v a l u a t e t h e secondary d a t a used. The raw d a t a m a t r i x f o r t h e s e a n a l y s e s ( f o r both 1986 and 1983 d a t a ) a r e 83 c o u n t i e s by 15 v a r i a b l e s in s i z e c o n t a i n i n g 1245 p i e c e s o f inform ation. An i l l u s t r a t i o n o f t h e s e m a t r i c e s i s pro vid ed in Tables 20 and 21, (s e e Volume 2, Appendices D and E). The v a r i a b l e s in t h e m a tri x a r e annual f i g u r e s f o r t h e e i g h t o r i g i n a l use and s a l e s t a x v a r i a b l e s (s e co n da ry d a t a ) t h a t have been p r e v i o u s l y i d e n t i f i e d in t h e s tu d y , plus p o p u l a t i o n and s i x a d d i t i o n a l v a r i a b l e s . The f i r s t i s e a t i n g and d r i n k i n g p l a c e s s a l e s , e x t r a c t e d from t h e Su rv ey -o f Buying Power o f S a le s and Marketing Management (1984-1987) f o r t h e y e a r s 1983 and 1986. The o t h e r v a r i a b l e s t h a t have been u t i l i z e d a re ta ken from a s tu dy done by th e United S t a t e s Travel Data C en te r t h a t was commissioned by t h e Michigan 107 108 Travel Bureau. These v a r i a b l e s a r e county l e v e l t r a v e l e x p e n d i t u r e s , t r a v e l g e n e r a t e d p a y r o l l , t r a v e l g e n e r a t e d employment, s t a t e t a x r e c e i p t s and l o c a l t a x r e c e i p t s . based on t h e 1980 c e ns us . The f i f t e e n t h v a r i a b l e used was county p o p u la ti o n The re a so n f o r s e l e c t i n g t h e y e a r s 1986 and 1983 was based on t h e U.S.T.D.C. s tu d y , which focused on th o s e y e a r s . The s a l e s and use t a x d a t a were e a s i l y complied i n t o s i m i l a r d a t a t o be used in t h e a n a l y s i s . the data? The q u e s t i o n th e n becomes, where d id t h e U.S.T.D.C. g e t Obviously, t h e d a t a were s u p p l i e d by t h e s t a t e o f Michigan. These U.S.T.D.C. r e p o r t r e s u l t s w i l l be analyzed in c o n j u n c t i o n with s a l e s and use t a x d a t a and p o p u l a t i o n and e a t i n g and d r i n k i n g p l a c e s a l e s . Correlation I n i t i a l review o f t h e 1983 c o r r e l a t i o n m a tr ix i n d i c a t e d high p o s i t i v e c o r r e l a t i o n s among almost a l l v a r i a b l e s (Table 14 i l l u s t r a t e s t h i s m atrix). As a l l u d e d t o e a r l i e r , p o p u l a t i o n was h i g h l y c o r r e l a t e d with a l l v a r i a b l e s in t h e c o r r e l a t i o n m a t r i x ( r = .8 o r above in 1983) with th e e x c e p ti o n o f fa m ily r e s t a u r a n t s ( r = .5 5 5 ). In 1986, t h e same gener al s t a t e m e n t co uld be made with a few e x c e p t i o n s . In 1983, fa m il y r e s t a u r a n t s s a l e s t a x was c l e a r l y t h e l e a s t c o r r e l a t e d wit h o t h e r v a r i a b l e s in t h e c o r r e l a t i o n m a t r i x . While family r e s t a u r a n t s a l e s t a x c o r r e l a t i o n s were p o s i t i v e with a l l v a r i a b l e s , i t s r va lu e was well below t h a t o f t h e o t h e r v a r i a b l e s (See Table 14). In 1986, t h e c o r r e l a t i o n m a t r i x changed s i g n i f i c a n t l y with th e f o ll o w i n g v a r i a b l e s i n d i c a t i n g r v a lu es o f < .8 (See Table 15). - P o p u la ti o n and h o t e l / m o t e l s a l e s t a x - P o p u la ti o n and s p o r t i n g goods - Taverns and c l u b s and h o t e l / m o t e l s a l e s ta x Table 14. Po p u la tio n Pop ulation Hotel/Motel S ales Tax Hotel/Motel Use Tax S p o rtin g Goods Women's Clothing M en's/Boy's C lothing Family R e sta u ra n ts F a st Food R e sta u ra n ts Taverns & Clubs E ating and Drinking Place Sales Travel Expenditures Travel Generated P ayroll Travel Generated Employment S ta te Tax R eceip ts Local Tax R eceipts Travel Expenditures Travel Generated P ayroll Travel Generated Employment S t a t e Tax R eceip ts Local Tax R eceip ts S ales Tax Hotel/Motel Use Tax S p o rtin g Goods Women1s C loth in q 1.000 0.814 0.916 0.802 0.938 0.885 0.555 0.926 0.992 0.978 0.953 0.945 0.951 0.939 0.945 M en's/Boy's Clothinq M en's/Boy's C lothing Family R e sta u ra n ts F a st Food Taverns & Clubs E ating and D rinking Place Sales Travel Expenditures Travel Generated P a yroll Travel Generated Employment S t a t e Tax R eceipts Local Tax R eceipts C o r r e la tio n M atrix 1983 Data 1.000 0.895 0.750 0.862 0.799 0.539 0.798 0.799 0.833 0.860 0.837 0.892 0.909 0.836 Family R e sta u ra n ts 1.000 0.872 0.947 0.916 0.627 0.918 0.913 0.941 0.934 0.906 0.967 0.987 0.905 F a st Food R est. 1.000 0.821 0.959 0.864 0.929 0.818 0.898 0.713 0.667 0.774 0.832 0.665 Taverns & Clubs 1.000 0.884 0.555 0.897 0.927 0.940 0.943 0.927 0.960 0.962 0.926 E ating an< Drinking P laces 1.000 1.000 0.778 0.975 0.896 0.953 0.822 0.787 0.864 0.898 0.786 0.734 0.603 0.697 0.386 0.328 0.468 0.558 0.325 0.935 0.971 0.856 0.828 0.887 0.910 0.827 0.982 0.930 0.918 0.933 0.928 0.918 0.912 0.891 0.931 0.943 0.890 Travel E x penditures Travel Generated P ayroll Travel Generated E xpenditures S ta te Tax R eceip ts Local Tax R eceipts 1.000 1.000 1.000 1.000 0.997 0.993 0.968 0.997 1.000 0.981 0.948 1.000 1.000 0.991 0.980 1.000 0.947 1.000 Table 15. Population Population Hotel/Motel Sales Tax Hotel/Motel Use Tax Sporting Goods Women's Clothing Men's/Boy's Clothing Family R estaurants Fast Food Restaurants Taverns & Clubs Eating and Drinking Place Sales Travel Expenditures Travel Generated Payroll Travel Generated Employment S ta te Tax Receipts Local Tax Receipts Travel Expenditures Travel Generated Payroll Travel Generated Employment S ta te Tax Receipts Local Tax Receipts Sales Tax Hotel/Motel Use Tax Sporting Goods Women' s Clothinq 1.000 0.752 0.869 0.686 0.904 0.843 0.957 0.913 0.985 0.974 0.952 0.950 0.935 0.896 0.950 Men's/Boy's Clothinq Men's/Boy's Clothing Family R estaurants Fast Food Taverns & Clubs Eating and Drinking Place Sales Travel Expenditures Travel Generated Payroll Travel Generated Employment S ta te Tax Receipts Local Tax Receipts C o r r e la tio n Matrix 1986 Data 1.000 0.937 0.862 0.814 0.885 0.867 0.876 0.778 0.842 0.817 0.769 0.890 0.947 0.766 Family Restauran ts 1.000 0.846 0.863 0.910 0.937 0.931 0.893 0.923 0.919 0.884 0.964 0.990 0.882 Fast Food Rest. 1.000 0.655 0.933 0.848 0.880 0.718 0.817 0.659 0.602 0.741 0.822 0.598 Taverns & Clubs 1.000 0.781 0.897 0.850 0.882 0.896 0.910 0.900 0.914 0.893 0.899 Eating anc Drinking Places 1.000 1.000 0.939 0.965 0.866 0.934 0.817 0.777 0.868 0.908 0.774 0.965 0.965 0.993 0.918 0.893 0.940 0.946 0.892 0.914 0.964 0.894 0.866 0.924 0.938 0.863 0.979 0.932 0.921 0.929 0.907 0.921 0.929 0.910 0.942 0.938 0.908 Travel Expenditures Travel Generated Pa.yrol1 Travel Generated Expenditures S ta te Tax Receipts Local Tax Receipts 1.000 1.000 1.000 1.000 0.996 0.989 0.949 0.996 1.000 0.973 0.919 1.000 1.000 0.985 0.972 1.000 0.917 1.000 Ill - Travel g e n e r a t e d p a y r o l l and h o t e l / m o t e l s a l e s t a x - H ot el /m ot el s a l e s t a x and l o c a l t a x r e c e i p t s - S p o r t i n g goods and women's c l o t h e s , t r a v e l e x p e n d i t u r e s and t r a v e l generated payroll - Women's c l o t h e s and men's c l o t h e s - Men's c l o t h e s and t r a v e l g e n e r a t e d p a y r o l l and l o c a l t a x r e c e i p t s . Family r e s t a u r a n t c o r r e l a t i o n c o e f f i c i e n t s changed s i g n i f i c a n t l y from 1983 t o 1986 and was h ig h ly p o s i t i v e l y c o r r e l a t e d with a l l v a r i a b l e s in t h e 1986 c o r r e l a t i o n m a t r i x . While some o f t h e s e v a l u e s a r e lower than r .8 , c o r r e l a t i o n s o f a l l f i g u r e s in 1986 a re above r > .6. Table 15 i l l u s t r a t e s t h i s c o r r e la tio n matrix. Both f a c t o r ( p r i n c i p a l components) a n a l y s e s ( f o r 1986 and 1983 d a t a ) were conducted usi ng a l l f i f t e e n v a r i a b l e s p r e v i o u s l y d i s c u s s e d . c r i t e r i a were deci de d on b e f o r e t h e a n a l y s i s . Several Eig envalu es were examined lo o k in g f o r t h e f i g u r e s t o be, g r e a t e r than or equal t o one. The e i g e n v a l u e i t s e l f i s a summary s t a t i s t i c i n d i c a t i n g t h e magnitude o f th e p e r c e n t a g e o f v a r i a n c e o f a component. Eigenvalues o f one o r more e x p l a i n a t l e a s t one v a r i a b l e ' s worth o f v a r i a n c e . These v a lu e s a r e t h e l a t e n t r o o t s o f t h e c o r r e l a t i o n m a t r i x and d e s c r i b e t h e p e r c e n t a g e o f v a r i a n c e explained. As a r u l e o f thumb, t h e p e r c e n t o f t o t a l v a r i a n c e ex pe c te d was g r e a t e r th a n o r equal t o f i v e p e r c e n t . of to t a l variance explained. This f i g u r e r e f e r s t o t h e p e r c e n t F i n a l l y , t h e c r i t e r i a o f component l o a d i n g s o f .7 o r above a r e d e s i r e d because l o a d i n g s r e f e r t o t h e w e ig h ti n g o f t h e components. The h i g h e r t h e lo a d in g t h e more t h a t v a r i a b l e has in common w it h t h e p a t t e r n . McDonald (1985) d e f i n e d l o a d i n g s as r e g r e s s i o n we ights o f a v a r i a b l e on a common f a c t o r . 112 Based on t h e c r i t e r i a p r e v i o u s l y i n d i c a t e d one f a c t o r was e x t r a c t e d from t h e a n a l y s i s in 1986. This f a c t o r was t h e only one with an e i g e n v a l u e o f g r e a t e r than one. The p e r c e n t o f t o t a l v a r i a n c e e x p la i n e d by t h e f a c t o r was a pp ro xi m a te ly n i n e t y p e r c e n t . Loadings f o r t h i s f a c t o r ranged from a low o f .818 ( s p o r t i n g goods) t o a high o f .984 ( t r a v e l g e n e r a t e d employment). Table 16 i n d i c a t e s t h e o r d e r in which t h e v a r i a b l e s loaded on t h e f a c t o r . Table 16 i l l u s t r a t e s t h a t t h e s e v a r i a b l e s l o a d i n g s a r e w i t h i n a range o f .166 and could be s a i d t o a l l be i n d i c a t i v e o f b u s i n e s s a c t i v i t y . This f a c t o r could be l a b e l l e d county economic development. Based on t h e s e r e s u l t s u s e r s o f t h e s e v a r i a b l e s might s u c c e s s f u l l y u t i l i z e one v a r i a b l e most r e l e v a n t t o t h e i r b u s i n e s s segment. An example o f t h i s would be a l o c a l neighborhood t a v e r n u s in g t a v e r n s and c lu b s s a l e s t a x as a planning t o o l o r u s in g f a s t food s a l e s t a x as an i n d i c a t o r o f f u t u r e a c t i v i t y in t h e f a s t food b u s i n e s s segment. The c o r r e l a t i o n c o e f f i c i e n t s i l l u s t r a t e d in T a bl e s 14 and 15 could be c o n s id e r e d i n d i c a t i v e o f t h e r e g r e s s i o n w e ig h ts in simple r e g r e s s i o n models. The high c o r r e l a t i o n f i g u r e s , and high l o a d i n g s on t h e f a c t o r makes one q u e s t i o n t h e independence o f t h e v a r i a b l e s . One might e v a l u a t e th e U.S.T.D.C. v a r i a b l e s as s u b s e t s o f t h e s a l e s and use t a x v a r i a b l e s d i s c u s s e d in t h i s r e p o r t . This would be a n o t h e r i n d i c a t i o n t h a t a l l th e v a r i a b l e s a r e i n d i c a t i n g "county economic development." Additionally, com mu na lit ie s c a l c u l a t e d f o r t h e v a r i a b l e s i n d i c a t e l i t t l e uniqueness in any o f t h e s e v a r i a b l e s . The 1983 a n a l y s i s was conducted in t h e same manner as t h e 1986 analysis. Using t h e 1983 d a t a two f a c t o r s were e x t r a c t e d . The f i r s t 113 Table 16. 1986 Loadings Variables Loadings Travel Generated Employment .984 Family R e s t a u r a n t s .983 S t a t e Tax R e c e ip ts .983 Eat ing and Drinking Pl a c e S a l e s .982 Hotel/Motel Use Tax .968 F a s t Food .967 Travel E x pe nditu re s .965 Taverns & Clubs .958 P opula tio n .957 Travel Generated P a yr ol l .943 Local Tax R e c e ip ts .941 M e n ' s / b o y 's C lot hin g .928 Women's C lo th in g .920 Hotel/Motel S a le s Tax .900 S p o r ti n g Goods .818 114 f a c t o r had an e i g e n v a l u e o f 13.091 and t h e second 1.283. The p e r c e n t of t o t a l v a r i a n c e e x p la i n e d was 87.3 f o r t h e f i r s t f a c t o r and 8 . 6 f o r th e second f a c t o r . Table 17 i l l u s t r a t e s t h e l o a d i n g s f o r t h e two f a c t o r s . The f i r s t f a c t o r i s d i f f i c u l t t o i n t e r p r e t due t o t h e way t h e f a c t o r lo a d ed . The h i g h e s t l o a d i n g s were a l l f o r t h e v a r i a b l e s o b t a i n e d from th e U.S.T.D.C. s tu d y . This may i n d i c a t e me thodological d i f f e r e n c e s between v a r i a b l e s in t h e a n a l y s i s and p o i n t s t o problems with t h e d a t a . A d d i t i o n a l l y , t h e r e i s no c l e a r p a t t e r n e x h i b i t e d in t h e d a t a , th e f i v e U.S.T.D.C. v a r i a b l e s a r e t h e h i g h e s t l o a d in g v a r i a b l e s in t h e f a c t o r , t h e s e v a r i a b l e s a re a l l t r a v e l and to u r i s m o r i e n t e d . The f i r s t f a c t o r a l s o in c l u d e s p o p u l a t i o n , women's c l o t h i n g and t a v e r n ' s and c l u b s which would i n t u i t i v e l y be a s s o c i a t e d with l o c a l b u s i n e s s e s and r e s i d e n t s . There i s no c l e a r i n d i c a t i o n made by t h i s f a c t o r as t o whether i t i s a to u r i s m o r i e n t e d v a r i a b l e o r a l o c a l b u s i n e s s v a r i a b l e . The second f a c t o r loaded h ig h l y on s p o r t i n g goods, f a m ily r e s t a u r a n t s , m e n ' s / b o y ' s c l o t h i n g , f a s t food and e a t i n g and d r i n k i n g pla ce sales. These v a r i a b l e s a re normally a s s o c i a t e d with t h e l o c a l b u s in e s s environment. However, e a t i n g and d r i n k i n g p l a c e s a l e s , f a s t food, and m e n ' s / b o y ' s c l o t h i n g a l s o loaded f a i r l y high on t h e f i r s t f a c t o r . Communalities were a l s o c a l c u l a t e d f o r t h e s e v a r i a b l e s and i n d i c a t e d l i t t l e u n i qu e n es s . This i n d i c a t e s t h a t t h e s e v a r i a b l e s in a d d i t i o n t o the 1986 v a r i a b l e s a r e o f p r o b le m a ti c u t i l i t y f o r t h i s typ e o f a n a l y s i s . One a l s o n o te s t h a t t h e fa m ily r e s t a u r a n t v a r i a b l e l o a d i n g was very d i f f e r e n t in t h e 1986 a n a l y s i s v e rs u s t h e 1983 a n a l y s i s . In t h e 1986 a n a l y s i s , fa m il y r e s t a u r a n t s was t h e second h i g h e s t l o a d in g v a r i a b l e in the f a c to r . In t h e 1983 a n a l y s i s , f a m ily r e s t a u r a n t s loaded ve ry low on Table 17. 1983 F a c to r Loadings LOADINGS Variables Factor 1 F a c to r Local Tax R e c e ip ts .972 .226 Travel Generated Payroll .972 .228 Travel E xpe ndi tur es .956 .289 Travel Generated Employment .923 .375 S t a t e Tax R ec e ip ts .870 .471 Po pu la ti o n .856 .469 Women's C lot hin g .849 .473 T a v e r n ' s & Clubs .817 .519 Hotel/Motel Use Tax .809 .548 Hotel/Motel S a l e s Tax .774 .443 Ea tin g & Drinking Place S al es .765 .628 F a s t Food .685 .698 M e n ' s / b o y 's C lo th in g .631 .751 Family R e s t a u r a n t s .108 .978 S p o r t i n g Goods .487 .854 116 t h e f i r s t f a c t o r and high on t h e second. This co uld i n d i c a t e a s i g n i f i c a n t change in t h e d a t a over th o s e y e a r s . This could be an i n d i c a t i o n t h a t f a m ily r e s t a u r a n t s as a segment o f t h e b u s i n e s s market became more i n t e g r a t e d i n t o t h e o v e r a l l economic environment between 1983 and 1986. Family r e s t a u r a n t s may have been a more d i s t i n c t segment in 1983 and then changed o r t h i s might s er v e as an a d d i t i o n a l i n d i c a t i o n of the i n s t a b i l i t y of the d a ta . Changes o f t h a t n a t u r e a re o f t e n due t o problems with t h e d a t a . Conclusion As d i s c u s s e d e a r l i e r , p l a n n e r s may u t i l i z e i n d i v i d u a l county s a l e s and use t a x d a t a as i n d i c a t o r s o f f u t u r e b u s i n e s s a c t i v i t y . Simply put t h e u s e r s should no t t r y t o use a l l t h e v a r i a b l e s a v a i l a b l e t o them but i n s t e a d use t h e one v a r i a b l e t h a t i s most r e l e v a n t t o t h e i r s i t u a t i o n and business. A simple r e g r e s s i o n model might be a most usef ul method of f o r e c a s t i n g with t h e s e v a r i a b l e s . The high c o r r e l a t i o n s , l o a d i n g s and communalities a r e a l s o i n d i c a t i v e o f t h e p o t e n t i a l f o r a high degree o f multi c o l l i n e a r i t y among t h e v a r i a b l e s . These a n a l y s e s i n d i c a t e t h a t u s e r s o f t h e s e d a t a (1986 and 1983) need t o be aware o f t h e l i m i t a t i o n s t h a t e x i s t when usi ng secondary d a t a . CHAPTER 9 SUMMARY AND CONCLUSIONS Based on t h e r e s u l t s o f t h i s s t u d y , one can judge t h e u s e f u l n e s s o f sec ondary d a t a by us in g a v a r i e t y o f t o o l s . These t o o l s , as d e s c r i b e d in t h e s t u d y , e n a b le t o u r i s m p l a n n e r s and managers t o e x t r a c t maximum amount o f i n f o r m a t i o n from a v a r i e t y o f d a t a s o u r c e s . The Travel Management In fo rm a tio n System (TMIS) proposed (See Figure 2) l a y s t h e ground work f o r t h e c o m p i l a t i o n , ex am in atio n, a n a l y s i s and d is trib u tio n of these data. very complex. These t o o l s can be c a t e g o r i z e d from simple to The a b s t r a c t s t h a t were c o n s t r u c t e d , though very in de pth , a r e no t beyond t h e u n d e r s t a n d i n g o f most i n d i v i d u a l s . Other f a c t o r s such as g r a p h s , maps, e t c . r e q u i r e u s e r s t o a t t a i n e x p e r t i s e usin g s t a t i s t i c s , microcomputers, and a v a r i e t y o f commercial s o f t w a r e . As noted p r e v i o u s l y , t h e s e t o o l s a s s i s t u s e r s t o t r a n s f o r m d a t a from t a b l e s o f f i g u r e s i n t o a more s i m p l i f i e d and e a s i e r t o u n d e rs ta nd for ma t. To do t h i s p r o p e r l y , a knowledge o f s t a t i s t i c a l t e c h n i q u e s may be n e c e s s a r y , i . e . Z-scores. A d d it io n a l e x p e r t i s e may be r e q u i r e d t o use s e v e ra l o f th e t o o l s in complementary f a s h i o n . As noted in Fig ur e 2, t h i s may r e q u i r e t r a i n i n g o f p u b l i c and p r i v a t e t o u r i s m p r o f e s s i o n a l s . To a c c u r a t e l y j ud ge t h e q u a l i t y o f t h e d a t a examined in t h i s s tu dy , i t i s a p p r o p r i a t e t o review a l i s t o f t h e o b j e c t i v e s o f t h e s tu d y. 1) To d e te r m in e t h e l i m i t and u s e f u l n e s s o f v a r i o u s s a l e s and use t a x d a t a as p l a n n in g and d e c i s i o n making t o o l s . 2) To de te r m in e i f s a l e s and use t a x d a t a can be tra ns fo rm e d i n t o more u s e f u l forms o f d a t a . 117 118 3) To de te rm in e o t h e r methods o f p r e s e n t i n g s a l e s and use t a x d a t a t h a t w i l l e a s e t h e i n t e r p r e t i n g p r o c e s s f o r county/community to u r i s m p l a n n e r s and managers. 4) To de te rm in e o t h e r a r e a s o f stud y based on t h e r e s u l t s and f i n d i n g s o f t h i s s tu d y . Reviewing t h e s e o b j e c t i v e s and t h e su bsequent a n a l y s i s , i t can be s a i d t h a t t h e s e d a t a a re us ef ul t o o l s f o r to u r i s m pla n n in g and managing decisions. They a r e perhaps most us ef ul with an i n - d e p t h knowledge o f the d a t a and an i n - d e p t h knowledge o f t h e c o u n t i e s where t h e s e d a t a might be used. These d a t a a r e c o l l e c t e d through t h e Michigan Department o f t h e T r ea s ur y from t h e t a x r e p o r t i n g f i l e s and a r e e x t r a c t e d e s p e c i a l l y f o r th e Michigan T r a v e l , Tourism and R ec re a tio n Resources C en t er a t Michigan S t a t e U n i v e r s i t y (MTTRRC). These d a t a ar e not a v a i l a b l e f r e e o f charge and must be purchased from t h e Department o f t h e T r e a s u ry . Review o f t h e Tourism Management Info rm at ion System i l l u s t r a t e s th e d a t a s o u rc es and ty p e s and t h e p o t e n t i a l u s e r s o f each ty pe o f d a t a . S a l e s and use t a x f i g u r e s a r e o f t e n used by p l a n n e r s and managers. These d a t a a r e , as i n d i c a t e d in t h e d a ta need su rv e y, not always th oug ht o f as quality data. This r e p o r t has i l l u s t r a t e d some a l t e r n a t i v e methods f o r u t i l i z i n g these data. The uses in c lu de development o f s t a t i s t i c a l a b s t r a c t s which pro v id e s methods o f t r a n s f o r m i n g t h e d a t a and c r e a t i n g i n d i c e s t h a t have a more meaningful format t o l o c a l p l a n n e r s and managers o r which p ro vid e d i f f e r e n t i n s i g h t s not obvious in t h e raw d a t a . The a b s t r a c t s can be c r e a t e d f o r i n d i v i d u a l c o u n t i e s o r f o r t h e s t a t e as a whole. The a b s t r a c t s can be e a s i l y m a in ta in ed and updated on a c o n t i n u i n g b a s i s w ith t h e use o f microcomputers and a p p r o p r i a t e s o f t w a r e . 119 This stu dy u t i l i z e d t h e Lotus 123 s o ft w a re package. This i s a r e a d i l y a v a i l a b l e s p r e a d s h e e t program t h a t i s e a s i l y unde rs too d and used on microcomputers. The use o f t h i s so ftw a re allows t h e s t a t i s t i c a l a b s t r a c t s c o n s t r u c t e d t o be s t o r e d on d i s k s th u s e l i m i n a t i n g t h e need f o r volumes o f pa pe r. As noted in t h e r e p o r t , t h e s e a b s t r a c t s c o n t a i n many of f i g u r e s and i t i s sometimes u s ef u l t o use complementary t o o l s t o a i d in in te r p r e tin g the d ata. Graphs can e a s i l y be c o n s t r u c t e d and can make v i s u a l i n t e r p r e t a t i o n q uic k and d e f i n i t i v e . Graphs used in c o n j u n c t i o n w it h t h e a b s t r a c t s allow county t o county comparisons and h i g h l i g h t s p e c i f i c c o u n t i e s t h a t may be viewed as r e p r e s e n t a t i v e to u r i s m c o u n t i e s in the s t a t e . Graphs can be c r e a t e d usi ng t h e Lotus 123 s o f t w a r e . The a b s t r a c t s and graphs a re a l l c o n s t r u c t e d in t h e s y n t h e s i s phase o f t h e t o u r i s m management i n f o r m a t i o n system. Based on t h e u n d e r s t a n d a b i l i t y o f t h e s e t o o l s , t h e in fo r m a t io n can be d i s t r i b u t e d t o u s e r s , f o r p r a c t i c a l a p p l i c a t i o n and f u r t h e r examination and a n a l y s i s . A d d it io n a l a n a l y s i s in t h i s r e p o r t took t h e form o f mapping o f Zs c o r e s f o r a l l c o u n t i e s in t h e s t a t e which would allow u s e r s t o c o n ti n u e t o u t i l i z e s a l e s and use t a x d a t a but examine i t in a d i f f e r e n t way. By c o n v e r t i n g t h e s a l e s and use t a x d a t a one can s t a n d a r d i z e t h e d a t a and i n v e s t i g a t e d i f f e r e n t b u s i n e s s c l a s s i f i c a t i o n s over ti m e . The Z - s c o re s could be c a l c u l a t e d f o r any o f t h e v a r i a b l e s in t h e a b s t r a c t . As was d i s c u s s e d , p e r c a p i t a s a l e s f i g u r e s were used t o c o n t r o l f o r p o p u l a t i o n and r e s u l t s i n d i c a t e d p o p u l a t i o n and l o c a t i o n a r e not t h e only f a c t o r s n e c e s s a r y f o r to u r i s m t o be a component o f county economic development. In t h i s c a s e , Z - s c o re s were not e s p e c i a l l y u s ef u l because t h e p o p u l a t i o n proved t o be non-normal th u s l i m i t i n g t h e u s e f u l n e s s o f t h e r e s u l t s . 120 What i s e v i d e n t from t h e stu dy i s t h a t t h e raw d a t a should be used in c o n j u n c t i o n wit h a l t e r n a t i v e d a t a forms and d i f f e r e n t t o o l s t o achiev e the most u s ef u l r e s u l t s . F ig u r e s a lo ne a r e o f t e n i n c o n c l u s i v e , maps o r graphs w i t h o u t t h e o r i g i n a l d a t a do no t always t e l l t h e complete s t o r y . The bottom l i n e i s t h e r e f o r e , t h a t d a t a u s e r s should be a b le t o manipu late the d a t a i n t o i t s most h e l p f u l form f o r t h e i r i n d i v i d u a l needs or f i n d d a t a t h a t i s most u s ef u l w hil e a l s o being a l e r t t o proba ble i n c o n s i s t e n c i e s r e s u l t i n g from unusual c i rc u m s t a n c e s or d a t a i r r e g u l a r i t i e s . The use o f i n f e r e n t i a l s t a t i s t i c s with t h e s e d a t a may a l s o be of a ss is ta n c e to u sers. These ty p e s o f a n a l y s e s , in th e TMIS would be completed by u n i v e r s i t y o r c o l l e g e f a c u l t y and s t a f f f o r use in t h e Michigan t o u r i s m i n d u s t r y . p re sen ta tio n of the r e s u l t s . This not only r e q u i r e s p ro p e r a n a l y s i s but Proper p r e s e n t a t i o n should mean t h a t th e r e s u l t s a r e u s a b l e by a l l segments o f t h e i n d u s t r y . In t h i s same ph a se , h i g h e r l e v e l s t a t i s t i c s ( e . g . f a c t o r a n a l y s i s ) should be used t o more c om pl e te ly examine t h e d a t a and i n t e r p r e t th e d a t a beyond t h e c a p a b i l i t i e s o f t h e to u ri sm p r o f e s s i o n a l in t h e f i e l d who may o r may not have adequa te t r a i n i n g a n d / o r ac c e ss t o a p p r o p r i a t e d a t a p r o c e s s i n g f a c i l i t i e s ( e . g . computers, s o ft w a re ) r e s o u r c e s . Such a naly se s as were conducted in t h i s s t u d y a r e i n d i c a t i v e o f t h e s e methods. Fa c to r a n a l y s i s can be used t o s t r e a m l i n e a v a r i e t y o f v a r i a b l e s i n t o simple patterns. These p a t t e r n s , once analyzed could p o t e n t i a l l y y i e l d a base of i n f o r m a t i o n t o guid e f u r t h e r r e s e a r c h . In t h i s a n a l y s i s , one can note t h e high c o r r e l a t i o n o f t h e v a r i a b l e s f o r both 1983 and 1986. This f a c t in c o n j u n c t i o n with t h e way t h e f a c t o r ( s ) in both a n a ly s e s loaded i n d i c a t e d t h a t u s e r s s e l e c t t h e one b e s t v a r i a b l e mot r e l e v a n t t o t h e i r 121 b u s i n e s s t o use in plannin g and f o r e c a s t i n g . One can assume t h a t t h e v a r i a b l e s , which a r e h i g h l y c o r r e l a t e d could be used i n d i v i d u a l l y t o p r e d i c t i n d i v i d u a l b u s i n e s s segment a c t i v i t y , i . e f a s t food s a l e s t a x f o r f a s t food, in simple r e g r e s s i o n models. M ul ti p le r e g r e s s i o n would not prove u s ef u l wit h t h i s d a t a s e t due t o t h e p r o b a b i l i t y o f high m u l t i c o l l i n e a r i t y among v a r i a b l e s as was evidenced in t h e c o r r e l a t i o n m a t r i c e s p r e s e n t e d in Chap ter 8. D e sp ite t h e l i m i t a t i o n s t h a t e x i s t with t h e d a t a , to u r i s m p la n n e r s and managers could u t i l i z e them j u d i c i o u s l y and a t t a i n good r e s u l t s . F o r e c a s t s o f any kind inv olv e r i s k s , but a p l a n n e r a n d / o r manager who can u t i l i z e a v a r i e t y o f f a c t and f i n d i n g t o o l s w i l l minimize t h e s e r i s k s . This s tu dy h i g h l i g h t e d a to u r i s m management in f o r m a t io n system t h a t could be put i n t o p la c e and m a in ta in ed in Michigan. The methods proposed in t h i s stu dy should be updated r e g u l a r l y and c o n t i n u o u s . Based on th e s t u d y ' s f i n d i n g s t h e r e are a v a r i e t y o f recommendations t h a t should be c o n s id e r e d t o help make such a system a r e a l i t y . Recommendations To p r o p e r l y implement a t o u ri sm management i n f o r m a t io n system as has been su gg est ed many d e t a i l s need t o be han dle d. I n i t i a l l y , potential u s e r s o f t h e d a t a and a n a l y s t s o f t h e d a t a should meet t o d i s c u s s d i f f e r e n t d a t a s o u rc e s , t y p e s , and needs. The G o v e rn or' s Conference on Tourism held a n n u a l l y , might be t h e most a p p r o p r i a t e s e t t i n g f o r such a me et ing . This would a l s o al low f o r l a r g e s t v a r i e t y o f i n t e r e s t e d pe o p le . p o t e n t i a l l y t h e most i n p u t from t h e Using t h e r e s u l t s o f such a meeting as a guide a stu dy could be conducted by a n a l y s t s t o a c c u r a t e l y a s s e s s the d a t a needs and i n t e r p r e t a t i o n c a p a b i l i t i e s o f d a t a u s e r s . In c o n ju n c t io n 122 w it h t h i s s tu d y , t r a i n i n g s e s s i o n s could be developed t o a s s i s t p o t e n t i a l u s e r s t o gain t h e n e c e s s a r y s k i l l s t o p r o p e r l y i n t e r p r e t and a na ly z e d a t a . T r a i n i n g s e s s i o n s could be o f f e r e d on a v a r i e t y o f t o p i c s such a s : data a v a i l a b i l i t y ( ty p e s and s o u r c e s ) , d a t a c o s t s , p r o p e r u t i l i z a t i o n o f d a t a , asse ssm en t o f i n d i v i d u a l d a t a ne eds , e v a l u a t i o n o f t h e q u a l i t y o f d a t a , computer use, d a t a r e s o u r c e s , and i n fo r m a t io n networking and d a t a s h a r i n g . This could be done in county modules a n d / o r d i f f e r e n t b u s i n e s s segments i . e . food s e r v i c e , h o t e l s , campgrounds, t o u r i s t a t t r a c t i o n s e t c . t o make t h e i n i t i a l p ro c e s s s i m p l e r . E v e n t u a l l y , when each module i s o p e r a t i n g e f f e c t i v e l y , th e y could be i n t e g r a t e d t o develop one l a r g e system. I n d i v i d u a l s from t h e MTTRRC, t h e Michigan Travel Bureau, and Michigan S t a t e U n i v e r s i t y C oo pe ra ti ve E xt ens ion , e t c . co uld f a c i l i t a t e t h i s process. Use o f t h i s ty pe o f system must a l s o c o n s i d e r funding i s s u e s . I n i t i a l funding f o r t h e st ud y might be o b ta in e d from t h e Travel Bureau. This would probab ly only be seed money and o t h e r s o u rc e s and c o s t s h a r in g f o r u s e r s would have t o be c o n s i d e r e d . To make t h e system a r e a l i t y , o t h e r f a c t o r s must a l s o be developed. The f i r s t recommendation i s t o make s a l e s and use t a x d a t a more a v a i l a b l e to to u r i s m p l a n n e r s and managers. As noted p r e v i o u s l y , t h e s e d a t a a r e e x t r a c t e d by s p e c i a l r e q u e s t by t h e MTTRRC. A dditionally, i f one wants t o use such d a t a t h e r e p r e s e n t l y e x i s t s a time d e l a y o f many months. planning. As most managers know ti m e l y d a t a i s a n e c e s s i t y f o r p ro pe r To make t h e s e recommendations a r e a l i t y t h e Michigan Department o f t h e T r ea s ury must be made aware o f t h e need f o r t h e d a t a , i t s form, and t h e time t a b l e n e c e s s a r y f o r i t s use. 123 The Michigan Department o f Tr ea su ry could t a k e s t e p s t o e x p e d i t e th e process. They (T re as ur y) could r e q u i r e o u t - o f - s t a t e b u s i n e s s e s t o r e p o r t t a x e s by c ou n ty . This would not be c o s t l y t o t h e s t a t e and i t would p r o v id e b e t t e r p la n n in g i n f o r m a t io n by e l i m i n a t i n g one o f t h e d a t a lim itations. Chains w i t h i n t h e s t a t e could a l s o be r e q u i r e d t o r e p o r t t a x e s in each county th e y o p e r a t e i n . The Michigan s p e c if ic business Department o f t h e Tr ea su ry could a l s o develop more c l a s s i f i c a t i o n c a t e g o r i e s . This could e n t a i l r e q u i r i n g companies t h a t o p e r a t e more than one b u s i n e s s t o r e p o r t t a x e s f o r each b u s i n e s s segment. A d d i t i o n a l l y , s p e c i f i c b u s i n e s s r e q u i r e d t o r e p o r t on s p e c i f i e d time t a b l e s . c a t e g o r i e s could be This would a s s i s t t o ensure t h a t t h e d a t a were c o n s i s t e n t q u a r t e r t o q u a r t e r and y e a r t o y e a r . Such changes by t h e Michigan Department o f t h e T r ea s ur y would g r e a t l y improve t h e d a t a b a se . Based on t h e r e s u l t s o f t h e need stu dy and on t h e e d u c a ti o n of p o t e n t i a l u s e r s o f t h e d a t a , a r e a d i l y a v a i l a b l e d a t a base may be de ve lo pe d. Thi s may a l s o e l i m i n a t e o r reduce t h e dependence on o u t s i d e s o u rc e s such as t h e U.S.T.D.C. f o r l o c a l l y a p p l i c a b l e revenue f i g u r e s . This i s n o t meant t o d i s m i s s t h e u s e f u l n e s s o f o u t s i d e d a t a so ur c es but is a r e a l i s t i c a sse ssm en t resources. co nc ern in g t h e p ro p e r u t i l i z a t i o n o f s c a r c e B a s i c a l l y , why should t h e s t a t e o r t h e county spend money o u t s i d e o f t h e s t a t e f o r d a t a t h a t the y a l r e a d y have? Thi s p o i n t i n t r o d u c e s t h e next recommendation which c a l l s f o r a network t o be c r e a t e d between Michigan c o l l e g e s and u n i v e r s i t i e s , e t c . t h a t have an i n t e r e s t in t o u r i s m . expertise This network could p ro v id e t h e needed in v a r i o u s p a r t s o f t h e s t a t e t o a s s i s t in t h e development of 124 tourism. This a s s i s t a n c e would t a k e t h e form o f a n a l y s i s o f d a t a , i t s d i s t r i b u t i o n in p ro p e r form t o u s e r s and perh ap s t h e t r a i n i n g o f p la n n e r s and managers. Such i n s t i t u t i o n s in Michigan a s , Michigan S t a t e U n i v e r s i t y (MSU), Grand V a lley S t a t e U n i v e r s i t y , C en tr al Michigan, Western Michigan, Northwood I n s t i t u t e , e t c . a l l have an i n t e r e s t in t o u r i s m . Additionally, MSU has c o o p e r a t i v e e x t e n s i o n o f f i c e l o c a t i o n s thr ou gh out t h e s t a t e . These o f f i c e s have s p e c i a l i s t s on s t a f f t h a t can a s s i s t to u r i s m p l a n n e r s and managers. To a s s i s t in making t h e in fo r m a t io n system a r e a l i t y , county a n d / o r community o r g a n i z a t i o n s and i n d i v i d u a l b u s i n e s s e s should c o l l a b o r a t e and form an in fo r m a t io n network. Through t h e l o c a l to u r i s m o r g a n i z a t i o n a l l r e l a t e d b u s i n e s s e s would pro v id e a v a r i e t y o f o p e r a t i n g s t a t i s t i c s t o th e local org an izatio n . A h o t e l , f o r i n s t a n c e would pro vid e occupancy, av erage room r a t e and mix o f demand f i g u r e s ; a r e s t a u r a n t would pr ovide av erage check, customer count and menu i n f o r m a t i o n ; and to u ri sm a t t r a c t i o n s would p ro vi de v i s i t o r c o u n t s . t h e re g i o n a l a s s o c i a t i o n . These d a t a would be r e p o r t e d to This i s c u r r e n t l y done by t h e MTTRRC f o r l i f t t i c k e t s a l e s f o r downhill ski a r e a s . The r e g i o n a l a s s o c i a t i o n s could c o l l e c t and compile t h e d a t a t o r e f l e c t r e g i o n a l f i g u r e s th u s a s s u r i n g th e individual p ro p e rtie s c o n f i d e n t i a l i t y . This might be d i f f i c u l t in some i n s t a n c e s where a county has a small number o f h o t e l s , or p r o p e r t i e s e t c . but in th e o r y would pr o v id e a s s o c i a t i o n members w ith an immediate and l o c a l l y a p p l i c a b l e d a t a base t o u t i l i z e in t h e i r p la nn in g and managing efforts. The i n f o r m a t io n s h a r i n g w i l l add a n o t h e r dimension t o t h e i n fo r m a t io n system and pr o v id e a more e x t e n s i v e a n a l y s i s o f a l l d a t a . This ty pe o f i n fo r m a t io n s h a r i n g i s now being used in some a r e a s through 125 c on ven ti on and v i s i t o r bure au s (CVB'S) i . e . Lansing Convention and V i s i t o r Bureau i s a n o t h e r example o f t h i s system. These recommendations c o i n c i d e w it h t h e Tourism Management Inf or ma tio n System proposed and c oul d p ro v id e t h e p o t e n t i a l d a t a u s e r s w ith an e f f i c i e n t l o c a l system t o complement t h e l a r g e system and pr ovi de a n o t h e r a p p l i c a b l e segment o f t h e d a t a b a s e . In a d d i t i o n t o usi ng t h e s e d a t a f o r l o c a l p la nn in g and managing, c o u n t i e s can use t h e s e d a t a in d e a l i n g s with s t a t e a g e n c ie s when d i s c u s s i n g economic development and a s s i s t a n c e f o r l o c a l a r e a s and as i n f o r m a t i o n when i n t e r a c t i n g wit h l e g i s l a t o r s t o s t r e s s t h e importance o f t o u r i s m in t h e i r a r e a . Fu tur e Uses o f t h e Study This stu dy as i n d i c a t e d p r e v i o u s l y w i l l have immediate and p r a c t i c a l applications. Users can immediately examine t h e a b s t r a c t s c o n s t r u c t e d and examine t h e o t h e r f a c t t o o l s f o r p la nn in g and managing pu rp o s e s. A d d i t i o n a l l y , t h e s t u d y can be used as a guid e and s t a r t i n g p o i n t f o r additional research. One such a r e a would be t o examine t h e d i f f e r e n c e s between t o u r i s m economic development and t o u r i s m sp ending. The f a c t o r ( p r i n c i p a l components) a n a l y s i s f i r s t h i g h l i g h t e d t h i s i s s u e . The d i s t i n c t i o n noted i s between spending in an a r e a and t h e a c t u a l c r e a t i o n o f a n o t h e r economic base f o r t h e county , i . e . t h e c r e a t i o n o f j o b s and s u s t a i n i n g to u r i s m b u s i n e s s e s t h a t w i l l be long term in n a t u r e . Thi s can be an ex tre me ly i m p o r ta n t t o p i c and has s u r f a c e d in o t h e r to u ri sm development a r e a s a c r o s s t h e c o u n tr y i . e . A t l a n t i c C i t y , New J e r s e y . This a r e a welcomed gambling as a economic development to o l and was supposed to c r e a t e jo b s f o r l o c a l r e s i d e n t s and a s s i s t in t h e economic development f o r the c ity . There i s a c o n s i d e r a b l e amount o f d i s c u s s i o n on t h i s t o p i c 126 co nce rn in g t h e s u cc e ss o f t h i s v e n t u r e . While many o f t h e Michigan c o u n t i e s a r e not concerned with gambling, th e y a r e concerned with s u s t a i n e d economic growth. Another a r e a f o r p o s s i b l e r e s e a r c h i s t h e stu dy o f methodological d i f f e r e n c e s w i t h i n t h e c o m p il a ti o n o f secondary d a t a . methodolog ies A review o f t h e s e would a s s i s t u s e r s t o know t h e l i m i t a t i o n s and c o m p a t i b i l i t y o f d i f f e r e n t d a t a s o u rc e s . A p o s s i b l e r e s e a r c h st udy could be conducted st ud y in g th e r e l a t i o n s h i p between t h e food s e r v i c e i n d u s t r y and t o u r i s m . Such a study would a s s i s t in d e f i n i n g t h e s p e c i f i c segments o f t h e i n d u s t r y t h a t are d i r e c t l y invol ve d in t o u r i s m an d /o r what p o r t i o n o f a food s e r v i c e o p e r a t i o n ' s b u s i n e s s can be a t t r i b u t e d t o to u ri sm . be t h e a t t i t u d e s o f t h e o p e r a t o r s the m s el ve s . Also impor tant would I t would be i n t e r e s t i n g t o n o te i f t h e s e o p e r a t o r s see themselves as p a r t o f t h e o v e r a l l to uri sm i n d u s t r y o r as only a segment o f t h e h o s p i t a l i t y i n d u s t r y . Such a study would be very r e v e a l i n g and could a s s i s t in b u i l d i n g a s t r o n g e r r e l a t i o n s h i p between i n d u s t r y segments. This r e p o r t a l s o has an a p p l i c a b i l i t y t o a l l f i f t y s t a t e s . Assessments o f secondary d a t a and t h e i r so urc es should be conducted t o p r o p e r l y inform to u ri sm p l a n n e r s and managers o f t h e r e s o u r c e s a v a i l a b l e t o them and he lp develop o r r e f i n e t h e i r e x i s t i n g systems. The type of st udy would have b a s i c a l l y t h e same u s e f u l n e s s on a n a t i o n a l b a s i s and could encourage a l a r g e number o f county o r community to ur is m p r o f e s s i o n a l s t o demand b e t t e r d a t a and a means f o r o b t a i n i n g t h a t d a t a . The s tu dy as i n d i c a t e d e a r l i e r has immediate a p p l i c a t i o n s and an ongoing u s e f u l n e s s f o r t h e to u ri sm p r o f e s s i o n a l . The in f or m at io n system 127 proposed, i f implemented co uld pr o v id e t h e to u r i s m i n d u s t r y with a usef ul to o l t o a s s i s t in d e ve lo pi ng t h e Michigan to u r i s m i n d u s t r y . E f f o r t s made in t h i s s tu d y could a l s o a s s i s t county/community l e v e l p l a n n e r s and managers t o develop a s t a b l e economic base in t h e i r r e s p e c t i v e a r e a s , by p r o v i d i n g u s a b l e f a c t and f i n d i n g t o o l s . F i n a l l y , t h e r e i s much t h a t can be done t o improve t h e u s e f u l n e s s o f secondary d a t a f o r t o u r i s m plann in g p u rp o s e s. Many o f t h e s e s t e p s as d e s c r i b e d e a r l i e r r e q u i r e l i t t l e a d d i t i o n a l c o s t and could s u b s t a n t i a l l y improve t h e u s e f u l n e s s o f secondary d a t a . The a v a i l a b i l i t y o f such an improved d a t a base could a s s i s t both p u b l i c and p r i v a t e to u r i s m p la n n e r s and managers t o make b e t t e r use o f e x i s t i n g d a t a . LIST OF REFERENCES LIST OF REFERENCES Anthony, Robert N. (1965). Planning and Control Systems: A Framework f o r A n a l y s i s . Harvard U n i v e r s i t y P r e s s , Cambridge, M a s sa c h u se tt s . A rcher, B. (1987). Demand F o r e c a s t i n g and E s t i m a t i o n , In T r a v e l . Tourism and H o s p i t a l i t y Research: A Handbook f o r Managers and R e s e a r c h e r s . 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Monitoring R e c re a ti o n Trends Using Secondary Data In Pr oc ee di n gs 1985 National Outdoor R e c re a ti o n Trends Symposium I I . U.S. Department o f I n t e r i o r , National Park S e r v i c e . U.S. Travel Data C en te r (1988). The Economic Impact o f Travel on Michigan Co untie s 1986. A Study Prepared f o r Michigan Travel Bureau. U.S. Tr avel Data C en t er (1986). Spec ial S t u d i e s in Travel Economics and Marketing 1986 Outlook f o r Summer T r a v e l : A Guide t o Vacation M arkets. U.S. Travel Data C en t er , Washington, D.C. U.S. Travel Data C en te r (U.S.T.D.C.) (1987). The 1986-87 Economic Review o f Travel in America. U.S. Travel Data C en t er , Washington, D.C. Waters, Somerset (1972). A New U.S. National Travel Data C en te r, Journal o f Travel R e s e a r c h . 1 0( 4 ), p. 2-4. Western Michigan Tourism A s s o c i a t i o n (1988). Rapids, Michigan. Travel D o l l a r Impact. Grand Wheelwright, S.C. and M ak ri da ki s, S. (1977). F o r e c a s t i n g Methods f o r Management. 2nd Ed. Wynegar, D. (198 7) . E s ti m a ti n g t h e P o t e n t i a l o f I n t e r n a t i o n a l Markets I n T r a v e l . Tourism and H o s p i t a l i t y Research: A Handbook f o r Managers and R e s e a r c h e r s . John Wiley & Sons, Inc. AN ANALYSIS OF MICHIGAN COUNTY SECONDARY DATA WITH RECOMMENDATIONS FOR UTILIZATION BY PUBLIC AND PRIVATE TOURISM PLANNERS AND MANAGERS Volume II By Robert Mark O 'H a ll o r a n A DISSERTATION Submitted t o Michigan S t a t e U n i v e r s i t y in p a r t i a l f u l f i l l m e n t o f t h e r e q u ir e m e n ts f o r t h e d e gr e e o f DOCTOR OF PHILOSOPHY Department o f Park and R e c r e a ti o n Resources 1988 APPENDICES APPENDIX A SECONDARY DATA SOURCES 134 1. Indexing Services a . Business Periodicals Index b. Readers' Guide to Periodical Literature c. Public Affairs Information Service Bulletin 2. Bibliographies and Finding Guides a. "The Travel Research Bookshelf," Journal of Travel Research b. Bibliography of Tourism and Travel Research Studies, Reports and Articles c. Travel Research Bibliography: A Bibliography of the Holdings of the Travel Reference Center d. "Data Sources for Travel and Tourism Research," Tourism Marketing and Management Issues e. Travel Data Locator Index f. PATA Research Library Bibliography g. Tourism and Vacation Travel in the United States h. Tourism and Vacation Travel: State and Local Government Planning i. Bibliography of Theses and Dissertations in Recreation and Parks j. Bibliography of Hotel and Restaurant Administration and Related Subjects, The Cornell Hotel and Restaurant Administration Quarterly k. "Tourism and the Social Sciences: A Bibliography," Annals of Tourism Research 3. Periodicals a. The Travel Agent b. Travel Weekly c. Travel Trade d. Travel Printout e. ASTA Travel News f. Hotel and Motel Management g. The Cornell Hotel and Restaurant Administration Quarterly h. Journal of Travel Research i. Annals of Tourism Research j . Journal of Leisure Research k. Meetings and Conventions 1. Leisure Sciences m. International Journal of Tourism Management n. Ulrich's International Periodicals Directory o. Business Publications Rates and Data 4. Trade Associations 5. Government a. The National Tourism Policy Study b. 1977 Census of Transportation: Travel During 1977 c. U.S. International Air Travel Statistics d. Summary of Passport Statistics e. 1977 Census of Service Industries: United States f. 1977 Census of Service Industries: 135 Other Service Industries "International Travel and Passenger Fares," Survey of Current Business h. The Third Nationwide Outdoor Recreation Plan Yearbooks, Annuals, Handbooks, etc. a. The Big Picture, World Travel Trends and Markets, 1980-81 b. Travel Market Yearbook c. World Travel Statistics d. Trends in the Hotel-Motel Industry e. U.S. Lodging Industry: 1980 Edition f. Travel, Tourism and Outdoor Recreation - A Statistical Digest, 1978 and 1979 g. Air Transport 1980 h. Traveler Accommodation Statistics i. Travel Between Canada and Other Countries j. PATA 1973 Annual Statistical Report Proceedings a. Research and the Changing World of Travel in the 1980's b. Emerging Travel Markets Other a. Survey of State Travel Offices b. The Tourist Business c. McIntosh, Robert W. and Goeldner, C.R., Tourism, Principles, Practices, Philosophies d. Canadian Travel Survey (Ottawa, Ontario, Canada: Canadian Government Office of Tourism) e. Canadian Travel Research Notes f. Colorado Ski and Winter Recreation Statistics g. Economic Analysis of North American Ski Areas h. National Travel Expenditure Study i. National Travel Survey j . Impact of Travel on State Economics k. Destination USA, Volume I, Summary Report 1. A Conceptual Basis for the National Tourism Policy study m. National Tourism Policy Study, Ascertainment Phase, Report on the Ascertained Needs of the State and Local Government and Private Sectors of the Tourism and Travel Industry n. National Tourism Policy Study Final Report o. The Character and Volume of the U.S. Travel Agency Market p. Hawkins, Donald E., Elwood L. Shafer and James M. Rovelstad, Summary and Recommendations: International Symposium on Tourism and the Next Decade g. 6. 7. 8. APPENDIX B DATA NEED SURVEY 136 Dear TourIsa Professional: I a* conducting research to assess the existence o f quality data available for county travel and tourlsa planners and forecasters. I would appreciate your cooperation 1n completing th is survey which may a ssist you In your future planning needs. 1. Vhat tourlsa planning/forecasting data do you currently use? (Please check all that apply) census tra c t employment figures penetration rates sales tax occupancy rates mix of demand use tax______ ____ productivity Index _ _ _ other (Please explain) __________________________ 2. What tourlsa planning/forecasting data do you need most? _____ census tra c t . employment figures penetration rates _____ sales tax occupancy rates mix of demand use tax______ ____ productivity Index other (Please explain)_______________________________________ 3. What Is your source for these data? Michigan Travel Bureau Regional Tourlsa Association Michigan Travel, Tourlsa, Recreation Resource Center (HSU) Private firm Library _____ Other (Please explain)______________________________________ _ _ 4. Is sales/use tax data useful to you 1n your planning efforts? Tes No I f not, how might i t be made more useful to you? Transformed Into sales figures ____ Made more available ____ Monthly figures Transformed Into per capita figures Other (Please exolalnl ______ _ _ ________________________________ 5. Which of the following business data classifications are of greatest use to you 1n your planning/forecasting efforts? (Please rank. 1 - most Important; 5 - average Importance; 8 - least Important) Tourism employment_____________ ____ Sporting goods sales tax , Family restaurant sales tax Hotel/motel sales tax _____ Taverns and clubs sales tax Hotel/motel use tax . Direct tourism expenditure ____ Fast food sales tax 6. Currently, how are tourism revenues forecasted In your county? Check any th at apply _____ National estimates _____ State estimates _____ Regional estimates County estimates ____ Trend extension Other (Please explain)______________ ________________________ __ 137 7. What stage of development has tourism In your county reached? Advanced__________________ ____ New Developing________________ ____ Non-existent 8. Which state agencies do you rely on for tourism data? ____ Dept, of Commerce__________ ____ Dept, o f .Natural Resources Dept, of Transportation Dept, of Treasury 9. How Important Is tourlsa In your county's economy? . Very Important_____________ ____ Somewhat Important Important ____ Not Important 10. Who, 1f anyone, does the tourism planning/forecasting for your county? Chamber of Cosaerce________ ____ Other ____ Regional Tourism Assoc. (Please explain)____________ Visitors Bureau __________________________ 11. What percentage of county/state/federal tourlsa budgets should be directed towards Information gathering? (Check one In each column) Cayptt Siile Less than 5% S-8X 9-15X 16-25% More than 25% federal ____ Less than 5X________ ____ Less than 5X ____ 5-8%_______________ ____ 5-8% ____ 9-15X______________ ____ 9-15X ____ 16-25%_________________ 16-25% ____ More than 25%___________ More than 25% 12. What level of experience do your county tourlsa planners have? 0-3 years 4-8 years more than 8 years don't know 13. What Is your level of education? High school College (Bachelor's) _____ College (Master's) College (Ph.O.) Other (Please explain)___________________________________ 14. Are you a member o f your local/regional tourlsa association? Yes: _____ Local Regional No ____ 15. As a tourlsa professional, a t what level do you operate? _____ State_____________________ ____ Management (private) . Federal _ Consulting (private) _____ County . Other (Please explain)____ IS. Please Indicate the county or counties you work 1n: THANK YOU FOR YOUR COOPERATION APPENDIX C CALCULATION OF NON-TOURISM AND TOURISM SALES (FAMILY RESTAURANTS) 1903 COUNTT A ll RtVOTUM 1983 Tout I m 1964 A ll R ovonuot 1984 Tout I m 1985 A ll R t v t n u n 1985 Tout I m 1964 A ll I m n u M 1964 Tout I m ALCONA 4 8 7 ,2 0 0 6 8 8 ,5 5 0 4 7 2 ,2 0 0 6 2 9 ,4 2 5 6 2 6 ,5 0 0 5 3 5 ,9 0 0 2 0 2 ,775 7 6 9 ,3 5 0 2 9 1 ,3 0 0 3 8 5 ,6 7 5 SU.300 H T .m 7 4 2 ,1 0 0 ALGER 3 8 2 ,9 2 5 8 8 6 ,4 0 0 5 9 2 ,1 5 0 ALLEGAN 8 ,6 7 1 ,8 0 0 3 ,3 3 2 ,2 7 5 9 ,1 8 9 ,0 0 0 2 ,8 0 2 ,2 7 5 9 .5 8 7 .7 0 0 3 .3 8 6 .4 5 0 ALPENA 6 ,4 6 3 ,0 0 0 9 .2 0 9 .8 0 0 1 ,9 3 5 ,1 2 5 3 ,9 0 5 ,8 5 0 7 ,8 5 8 ,7 0 0 1 ,2 3 3 ,1 2 5 7 .0 9 2 .4 0 0 2 ,1 1 3 ,7 5 0 7 .2 8 8 .8 0 0 2 ,0 3 5 ,1 0 0 ANIRIN 1 ,7 8 7 ,2 0 0 1 ,1 7 9 ,5 2 5 2 ,2 2 6 ,0 0 0 1 ,3 6 7 ,6 7 5 2 .2 3 8 .6 0 0 1 ,2 8 9 ,8 5 0 ARENAC 9 9 2 ,2 0 0 3 .3 1 7 .7 0 0 1 ,0 0 5 ,3 5 0 1 .5 1 1 .4 5 0 £ 1 ,1 8 4 ,2 0 0 6 7 8 ,7 5 0 1 .1 6 8 .7 0 0 1 ,2 6 1 ,3 0 0 ■ARAGA 6 7 6 ,7 0 0 1 .5 2 9 .5 0 0 2 0 9 ,5 0 0 1 ,2 1 5 ,9 0 0 00 7 4 8 ,7 0 0 2 1 3 ,9 2 5 7 6 9 ,6 0 0 2 4 0 ,0 2 5 8 8 2 ,6 0 0 ' 8 8 ,3 7 5 IARRT RAT ■ENZIE RERRIEN 3 ,5 6 2 ,7 0 0 1 ,2 5 8 ,8 5 0 4 ,9 3 3 ,6 0 0 3 9 1 ,6 0 0 4 .9 1 3 .8 0 0 2 0 ,3 9 6 ,4 0 0 2 ,9 6 4 ,9 2 5 2 2 ,7 0 7 ,2 0 0 2 ,6 9 4 ,2 5 0 2 3 ,3 0 5 ,1 0 0 • 3 ,5 8 4 ,3 7 5 3 .1 1 0 .1 0 0 1 ,1 2 2 ,6 0 0 2 5 .0 4 1 .6 0 0 4 ,7 5 0 ,7 7 5 2 ,8 0 6 ,0 0 0 1 ,6 2 6 ,9 0 0 3 ,2 8 6 ,1 0 0 1 ,2 8 7 ,0 0 0 3 ,1 7 8 ,5 0 0 1 .5 0 8 .1 7 5 1 7 ,7 3 4 ,3 0 0 3 .6 7 3 .8 0 0 5 ,1 5 9 ,8 2 5 1 .2 8 6 .4 5 0 1 9 ,8 1 7 ,9 0 0 3 ,7 5 8 ,8 0 0 1 8 .7 1 9 .3 0 0 5 ,0 2 5 ,6 5 0 1 9 .7 1 4 .8 0 0 7 ,1 5 3 ,0 0 0 . GRANCH 4 ,8 7 9 ,2 0 0 1 ,2 4 3 ,0 5 0 5 ,8 1 3 ,7 0 0 8 9 7 ,5 5 0 5 .7 8 7 .8 0 0 1 ,0 5 7 ,2 7 5 CALHOUN 7 1 ,5 4 0 ,2 0 0 5 .2 4 9 .7 0 0 6 ,3 0 1 ,0 5 0 1 ,7 4 3 ,8 7 5 6 6 ,0 0 6 ,5 0 0 1 5 ,8 2 6 ,9 2 5 6 6 ,0 2 4 ,4 0 0 6 .8 4 5 .0 0 0 6 4 ,9 8 5 ,9 0 0 1 0 ,4 9 4 ,3 7 5 CAR! 1 ,7 7 8 ,3 0 0 145,075 1 ,8 4 8 ,5 0 0 6 2 ,8 0 0 1 .6 8 8 .6 0 0 3 2 1 ,5 7 5 CHARLEVOIX 2 ,7 4 6 ,3 0 0 1 .9 0 9 .4 0 0 2 ,0 2 3 ,4 5 0 8 6 ,7 7 5 2 ,6 7 7 ,5 0 0 2 ,0 6 2 ,3 7 5 2 .3 6 6 .6 0 0 1 ,6 5 0 ,0 7 5 2 .7 1 4 .5 0 0 1 ,9 7 6 ,4 2 5 CNEROTGAN 1 ,8 9 0 ,6 0 0 1 ,0 8 8 ,6 5 0 2 ,0 1 1 ,7 0 0 1 ,1 7 9 ,3 0 0 1 ,9 0 5 ,1 0 0 1 ,1 9 5 ,3 2 5 1 .8 7 3 .3 0 0 CHIPPEUA 4 ,9 9 7 ,6 0 0 1 ,9 4 4 ,9 5 0 4 ,5 2 6 ,6 7 5 7 ,5 4 7 ,7 0 0 2 ,2 3 6 ,8 0 0 6 .9 2 6 .8 0 0 2 .5 9 2 .0 0 0 6 .2 5 0 .4 0 0 4 ,0 1 8 ,0 2 5 CLARE 2 ,4 7 0 ,7 0 0 7 3 7 ,3 5 0 2 ,6 1 9 ,3 0 0 6 2 6 ,4 7 5 2 .4 5 0 .3 0 0 8 4 9 ,6 0 0 CLINTON 5 ,0 9 6 ,3 0 0 3 .3 2 8 .5 0 0 7 1 8,825 1 .0 5 6 .0 5 0 3 ,9 7 8 ,5 0 0 6 8 3 ,3 0 0 3 .8 6 1 .8 0 0 7 4 5 ,4 5 0 CRAUFORO 1 ,4 5 9 ,1 0 0 4 .0 3 3 .8 0 0 1 ,0 1 0 ,7 7 5 7 6 7 ,1 7 5 2 ,4 9 6 ,6 0 0 9 2 4 ,8 0 0 2 .6 8 2 .4 0 0 9 1 4 ,7 0 0 OELTA 9 ,8 1 7 ,0 0 0 2 ,6 5 8 ,2 0 0 1 ,4 1 5 ,9 0 0 8 7 6 ,5 7 5 9 ,5 3 2 ,5 0 0 2 ,1 3 9 ,6 5 0 9 ,9 0 4 ,0 0 0 1 ,6 4 8 ,1 2 5 DICKINSON 2 ,2 9 0 ,2 0 0 9 .5 6 2 .6 0 0 3 8 9 ,1 5 0 2 .4 0 0 .0 5 0 2 ,4 0 2 ,5 0 0 1 5 ,1 0 0 2 .3 5 9 .8 0 0 6 5 0 ,3 5 0 EATON 1 0 ,1 7 2 ,7 0 0 2 .2 3 4 .1 0 0 9 9 5 ,8 5 0 4 2 3 ,4 2 5 1 1 ,0 9 3 ,4 0 0 1 ,6 8 3 ,0 2 5 1 4 .1 5 7 .5 0 0 1 .7 9 0 .4 5 0 EMET 5 ,1 7 9 ,1 0 0 1 5 ,5 8 9 ,5 0 0 4 ,1 9 3 ,5 2 5 1 ,9 1 4 ,3 2 5 4 ,5 2 6 ,7 0 0 GENEtSE 8 6 ,0 0 0 ,0 0 0 1 1 ,2 2 2 ,0 5 0 1 0 0 ,0 1 3 ,4 0 0 5 ,0 8 1 ,3 5 0 • GLADWIN 2 ,2 4 0 ,3 0 0 9 6 3 ,2 0 0 2 ,3 8 2 ,8 0 0 OOGERIC 1 ,3 3 9 ,2 0 0 112,325 2 ,0 2 3 ,4 0 0 GRAND TRAV. 1 8 ,5 1 2 ,2 0 0 1 0 ,7 4 4 ,2 7 5 2 4 ,7 6 3 ,8 0 0 4 .2 5 4 .8 0 0 6 ,0 4 7 ,9 0 0 4 .2 9 4 .3 0 0 3 ,6 2 3 ,4 7 5 1 0 4 ,6 1 3 ,9 0 0 1 3 ,8 3 9 ,0 7 5 1 1 4 ,4 8 8 ,1 0 0 1 1 ,8 6 9 ,7 5 0 1 ,5 1 0 ,6 2 5 3 .0 2 6 .5 0 0 1 ,2 0 2 ,8 2 5 3 ,1 2 6 ,9 0 0 1 ,3 9 9 ,7 0 0 132 ,0 7 5 2 .3 0 2 .6 0 0 6 6 ,5 7 5 2 .4 3 4 .4 0 0 3 0 1 ,6 5 0 7 ,7 2 0 ,6 5 0 2 7 ,7 7 5 ,5 0 0 6 .3 2 3 .1 7 5 2 6 ,8 9 7 ,2 0 0 9 ,5 9 5 ,7 5 0 1983 COUNTY A ll I f M I M 1983 Tout I m 1984 A ll R o v o n u tt 1964 Tout I m 198$ A lt R tv tn u M 1985 Tout I m 1984 A lt I m n u n 1986 Tout I m ORATOIT 4 ,5 3 1 ,9 0 0 3 3 3 ,7 0 0 3 ,9 4 5 ,3 0 0 2 6 7 ,5 2 5 4 .0 8 4 .2 0 0 7 2 6 ,9 7 5 3 .9 4 5 .4 0 0 N IL lttA lE 6 ,4 8 9 ,5 0 0 4 5 5 ,2 0 0 2 ,7 3 0 ,4 2 5 8 ,2 1 5 ,4 0 0 8 4 0 ,9 7 5 7 ,2 4 $ ,1 0 0 1 ,3 3 4 ,3 5 0 7 .2 7 1 .7 0 0 HOUGHTON 2 ,5 9 2 ,3 0 0 1 ,5 0 9 ,1 0 0 8 4 1 ,0 7 5 2 ,4 5 0 ,4 0 0 5 3 3 ,7 0 0 2 .1 2 3 .9 0 0 7 2 8 ,2 2 5 2 .0 0 5 .4 0 0 HURON 4 ,4 4 7 ,1 0 0 7 40 ,0 2 5 1 ,8 9 0 ,0 7 5 5 ,3 1 8 ,4 0 0 1 ,8 0 4 ,1 0 0 5 .2 4 4 .2 0 0 2 ,3 7 9 ,1 5 0 5 ,0 4 4 ,8 0 0 2 .1 1 9 .3 2 5 INGHAM 5 3 ,8 3 0 ,8 0 0 3 ,8 2 3 ,1 0 0 4 0 ,6 5 5 ,5 0 0 2 ,0 8 8 ,0 7 5 5 9 .7 7 2 .4 0 0 5 .3 9 0 .0 0 0 4 0 .9 3 2 .4 0 0 9 .5 4 1 .3 5 0 10NIA 3 ,5 8 4 ,8 0 0 4 ,3 5 1 ,5 0 0 3 5 9 ,9 5 0 3 ,2 4 4 ,8 0 0 5 9 4 ,8 7 5 3 .3 9 8 .4 0 0 IOSCO 3 2 ,2 4 4 ,4 0 0 4 9 5 ,2 7 5 • 4 8 4 ,7 7 5 3 ,9 1 5 ,5 0 0 2 ,2 7 7 ,0 0 0 3 .8 7 2 .0 0 0 2 .8 7 8 .7 7 5 4 .2 4 4 .5 0 0 2 .2 4 2 .3 2 5 IRON 1 ,5 4 3 ,1 0 0 8 7 2 ,5 2 5 2 ,3 4 4 ,1 0 0 5 8 5 ,8 7 5 2 .2 5 3 .2 0 0 4 8 9 .9 5 0 2 .4 8 5 .7 0 0 IS A K llA 9 ,3 8 2 ,4 0 0 4 3 4 .4 0 0 2 ,6 5 4 ,1 5 0 1 1 ,4 4 0 ,1 0 0 2 ,6 0 4 ,5 7 5 1 1 .0 4 1 .4 0 0 1 .3 4 9 .9 0 0 1 0 .4 1 2 .4 0 0 2 ,8 1 0 ,8 5 0 JACKSON 3 2 ,5 1 7 ,4 0 0 4 .0 3 0 ,6 7 5 3 5 ,7 5 3 ,5 0 0 4 ,4 0 3 ,8 0 0 3 8 .1 7 4 .2 0 0 3 ,9 7 5 ,2 7 5 3 9 ,9 2 4 ,3 0 0 KALAMAZOO 3 4 ,8 4 4 ,1 0 0 5 .1 8 5 .0 7 5 2 ,8 0 9 ,5 7 5 3 8 ,9 9 5 ,9 0 0 2 ,8 3 5 ,6 7 5 3 8 .5 1 3 .0 0 0 3 .1 4 0 .5 2 5 4 0 ,4 8 4 ,2 0 0 2 ,3 7 3 ,8 0 0 2 ,3 8 1 ,4 2 5 2 ,8 8 3 ,3 0 0 1 .0 4 0 .9 0 0 3 .3 4 3 .5 0 0 4 0 0 ,3 2 5 1 3 1 ,5 5 4 ,0 0 0 9 5 0 ,9 5 0 • 3 .1 4 7 .4 0 0 1 5 0 ,4 7 3 ,8 0 0 7 9 2 ,3 7 5 * 1 4 5 ,7 4 1 ,1 0 0 7 .8 3 8 .0 0 0 1 4 4 .4 2 4 .9 0 0 1 6 ,9 0 0 1 5 ,0 9 9 ,9 7 5 1 8 9,200 1 3 3 ,7 0 0 2 7 5 ,6 5 0 1 5 2 .4 0 0 1 9 2 ,9 0 0 4 8 2 ,0 0 0 7 6 .9 0 0 2 4 8 .4 0 0 3 2 2 ,0 7 5 4 7 0 ,4 0 0 2 7 9 ,4 2 5 4 7 4 .4 0 0 4 3 3 ,6 3 0 4 2 9 ,7 0 0 3 8 8 .0 0 0 1 0 ,2 5 3 ,1 0 0 8 3 1 ,9 2 5 1 0 ,2 6 5 ,0 0 0 2 ,1 8 4 ,5 5 0 1 0 .8 9 1 .2 0 0 9 2 5 ,7 7 5 1 0 .8 3 4 .4 0 0 1 ,7 9 0 ,4 5 0 KALKASKA KENT KEUEENAU LAKE LAKER LEELANAU 5 0 7 ,8 0 0 1 ,2 3 3 ,0 7 5 1 ,8 5 0 ,2 0 0 1 ,8 9 2 ,9 2 5 1 ,9 4 9 ,1 0 0 2 ,2 9 9 ,6 0 0 2 .1 1 6 .7 0 0 2 ,3 3 1 ,7 5 0 1 3 ,1 0 4 ,8 0 0 2 ,3 0 7 ,4 7 5 1 5 ,0 0 6 ,7 0 0 1 ,2 1 2 ,4 2 5 1 4 ,0 0 1 ,8 0 0 1 .8 7 2 .5 2 5 1 5 .8 3 4 .8 0 0 8 ,4 4 1 ,2 0 0 2 ,9 7 5 ,3 7 5 1 ,4 4 7 ,8 5 0 9 ,4 0 0 ,2 0 0 1 ,1 0 1 ,7 0 0 1 0 ,3 3 4 ,1 0 0 1 .6 4 8 .7 7 5 1 0 ,7 2 6 ,9 0 0 LUCE 4 4 9 ,0 0 0 1 .0 4 0 .0 7 5 1 2 3,500 6 2 0 ,0 0 0 3 1 4 ,5 0 0 7 1 8 .4 0 0 3 1 0 .9 5 0 4 8 4 ,6 0 0 MACKINAC 9 7 4 ,1 0 0 5 2 8 .0 0 0 4 ,2 6 1 ,2 2 5 1 ,3 1 4 ,2 0 0 1 .8 7 4 .0 0 0 4 .4 7 8 .3 7 5 1 ,7 9 0 ,2 0 0 1 7 8 ,6 1 6 ,7 0 0 4 ,8 8 7 ,7 0 0 2 0 ,9 1 9 ,7 2 5 1 8 8 ,3 7 9 ,9 0 0 4 .3 2 7 ,1 2 5 • 1 5 2 ,9 9 6 .7 0 0 2 0 ,4 5 7 ,5 5 0 1 4 4 .8 5 5 .9 0 0 2 ,2 7 1 ,5 0 0 1 8 ,0 9 1 ,7 2 5 9 0 0 ,1 2 5 2 ,5 4 4 ,4 0 0 9 9 3 ,7 5 0 2 .7 3 8 .4 0 0 1 ,0 5 1 ,5 7 5 2 .9 6 4 .4 0 0 1 ,1 4 2 ,2 5 0 LENAUEE LIVINGSTON NACOM MANISTEE 1 2 ,5 7 5 ,1 0 0 2 ,1 7 1 ,3 2 5 1 2 ,3 tS ,0 0 0 1 ,6 7 6 ,5 5 0 1 3 ,2 9 1 ,7 0 0 2 .3 5 2 .3 7 5 1 4 .0 8 2 .8 0 0 NASON MARQUETTE 5 ,8 9 0 ,9 0 0 2 .9 9 5 .3 5 0 2 ,9 2 4 ,3 5 0 4 ,2 8 2 ,4 0 0 3 ,1 4 0 ,3 7 5 4 .5 2 9 .9 0 0 3 .8 1 7 .3 7 5 4 ,0 5 0 ,3 0 0 MECOSTA 3 ,0 9 4 ,8 0 0 3 .4 7 5 .3 2 5 3 0 7 ,0 2 5 3 ,3 4 3 ,4 0 0 2 1 4 ,9 0 0 3 ,2 0 0 ,6 0 0 4 9 3 ,0 5 0 3 .3 9 0 .7 0 0 MENOMINEE 2 ,3 9 4 ,3 0 0 1 .0 0 5 .0 7 5 7 3 3 ,9 0 0 3 ,3 7 5 ,5 0 0 3 .4 9 5 .0 0 0 4 0 ,9 5 0 2 .2 0 4 .4 0 0 1 1 ,4 2 6 ,4 0 0 7 7 0 ,8 5 0 2 ,2 2 1 ,9 2 5 1 2 ,9 3 5 ,5 0 0 5 5 5 ,3 0 0 • 1 0 .6 1 9 .0 0 0 1 ,5 9 0 ,6 7 5 1 2 ,5 9 7 ,4 0 0 7 4 3 ,3 7 5 MIDLAND to to 1983 COUNTV A ll H avanuM NISSAUKEE 1903 Tout I m 1984 A lt Rrvrtumr 1984 Tout I m 1985 A ll I m n i M 1985 Tout I m 1986 A ll l i v t n u M 1964 Tout I m 6 2 5 ,7 0 0 199,475 5 6 8 ,2 0 0 1 8 6 ,4 0 0 7 0 6 ,2 0 0 1 6 8 ,5 5 0 7 6 3 ,8 0 0 N0NR0C 8 ,6 6 1 ,1 0 0 177 ,8 0 0 1 ,7 5 9 ,1 7 5 8 ,5 8 2 ,0 0 0 1 ,0 4 9 ,5 7 5 9 .4 6 6 .3 0 0 1 ,1 9 1 ,3 5 0 9 .4 8 5 .9 0 0 MONTCALM 1 .8 5 5 .7 5 0 4 ,2 8 2 ,4 0 0 1 ,5 4 6 ,5 2 5 3 ,3 4 7 ,4 0 0 1 ,1 1 2 ,8 0 0 6 ,0 6 2 ,8 0 0 2 ,4 3 7 ,4 5 0 7 .1 8 9 .0 0 0 2 .3 4 7 .5 7 5 76 2 ,9 0 0 78 6 ,1 7 5 9 6 8 ,5 0 0 6 5 7 ,9 0 0 1 ,0 3 2 ,9 0 0 6 6 9 ,6 5 0 1 .1 7 7 .8 0 0 MUSKEGON 1 .3 9 7 .5 7 5 i-* 1 9 ,0 1 6 ,9 0 0 3 ,8 0 7 ,0 0 0 2 4 ,5 9 3 ,6 0 0 2 ,5 9 0 ,6 2 5 2 3 .6 0 1 .2 0 0 3 ,0 4 1 ,1 5 0 2 4 .1 0 3 .7 0 0 NEtMTOO 3 ,6 9 0 ,5 0 0 3 .3 1 9 .7 5 0 o 1 ,1 3 3 ,3 0 0 4 ,0 4 6 ,2 0 0 4 .2 7 6 .3 0 0 1 ,1 6 5 ,0 2 5 4 ,3 0 3 ,7 0 0 OAKLAND 1 .2 0 5 .8 5 0 N0NTN 2 9 7 ,0 3 9 ,3 0 0 2 3 ,9 1 2 ,6 2 5 3 3 2 ,1 6 4 ,4 0 0 1 ,0 6 1 ,2 5 0 • 3 5 0 ,6 9 3 ,0 0 0 2 2 ,6 5 5 ,6 2 5 3 6 5 .8 9 7 .2 0 0 OCEANA 3 7 ,0 6 1 ,5 2 5 1 ,4 7 1 ,2 0 0 66 2 ,7 5 0 1 ,6 5 9 ,6 0 0 9 3 7 ,0 7 5 1 .8 4 5 .4 0 0 1 ,0 4 0 ,9 2 5 1 ,7 6 4 ,6 0 0 0GENAU 1 .5 8 0 .8 2 5 2 ,6 9 6 ,4 0 0 2 ,9 0 6 ,7 5 0 5 ,1 9 6 ,1 0 0 8 2 8 ,0 0 0 2 .7 1 8 .4 0 0 1 ,2 0 7 ,6 0 0 2 .9 3 0 .0 0 0 ONTONAGON 1 ,1 6 4 ,2 0 0 1 .2 2 0 .8 2 5 4 8 ,8 0 0 9 3 4 ,8 0 0 2 5 7 ,7 2 5 8 8 5 ,1 0 0 3 4 8 ,0 2 5 9 9 4 ,5 0 0 OSCEOLA 3 1 4 ,9 7 5 1 ,5 6 6 ,9 0 0 52 7 ,7 7 5 1 ,4 4 6 ,6 0 0 4 2 0 ,2 0 0 1 .5 3 5 .6 0 0 5 7 9 ,2 5 0 1 .7 8 9 .0 0 0 5 1 2 ,7 7 5 9 2 8 ,3 0 0 6 6 3 ,3 2 5 1 ,0 3 6 ,5 0 0 3 3 6 ,6 2 5 9 6 6 ,5 0 0 3 3 2 ,2 7 5 8 4 6 ,1 0 0 4 8 1 ,5 7 5 OSCODA OSTEGO 7 ,3 7 1 ,1 0 0 95 8 ,4 2 5 4 ,6 0 7 ,3 0 0 1 ,1 6 2 ,6 5 0 4 ,4 7 7 ,8 0 0 1 ,7 9 8 ,3 7 5 4 .7 8 4 .0 0 0 OTTAWA 1 .6 3 4 .8 5 0 1 8 ,9 0 2 ,3 0 0 3 ,9 7 1 ,7 7 5 2 0 ,3 0 9 ,5 0 0 3 ,3 0 8 ,5 2 5 2 3 ,9 6 8 ,6 0 0 7 ,5 8 9 ,2 7 5 3 0 .2 6 1 .5 0 0 6 ,2 3 9 ,2 2 5 W E S. I t . 78 8 ,3 0 0 34 6 ,8 7 5 8 9 4 ,7 0 0 4 3 5 ,2 0 0 1, 020,200 8 4 6 ,4 7 5 1 .1 8 0 .4 0 0 794 ,2 2 5 2 ,8 4 0 ,0 0 0 1 ,4 7 2 ,8 0 0 2 ,7 6 8 ,3 0 0 1 ,6 4 5 ,7 7 5 2 .9 9 7 .6 0 0 1 ,8 6 1 ,8 0 0 3 ,1 5 3 ,3 0 0 SAGINAW 2 ,1 6 4 ,4 5 0 4 0 ,6 8 6 ,3 0 0 1 1 ,3 6 2 ,7 7 5 4 5 ,0 4 0 ,2 0 0 1 0 ,2 2 4 ,1 2 5 4 8 .2 3 2 .1 0 0 1 3 ,2 3 5 ,0 0 0 4 9 ,4 3 3 ,6 0 0 ST. C U IA 1 5 ,6 5 0 ,6 7 5 2 0 ,4 6 7 ,8 0 0 4 ,7 3 2 ,8 7 5 2 2 ,2 5 2 ,7 0 0 4 ,5 1 4 ,1 0 0 2 3 .3 6 3 .2 0 0 5 ,2 1 5 ,8 0 0 2 5 .6 9 5 .7 0 0 6 .2 3 1 .7 5 0 ST. J0SE9N 1 2 ,6 8 8 ,6 0 0 2 ,7 5 0 ,2 7 5 1 4 ,4 0 3 ,0 0 0 2 ,1 2 9 ,2 2 5 1 4 .2 9 3 .1 0 0 1 ,4 0 3 ,8 7 5 1 1 .6 5 1 .5 0 0 9 6 2 ,0 5 0 2 ,2 6 2 ,2 0 0 86 9 ,7 7 5 2 ,7 0 9 ,6 0 0 7 4 9 ,9 2 5 2 ,7 8 9 ,0 0 0 1 ,6 5 0 ,9 5 0 3 .4 0 1 .8 0 0 1 ,1 0 6 ,5 2 5 ROSCCHHON SANILAC SCHOOLCRAFT 5 9 8 ,5 0 0 86 2 ,1 2 5 6 1 9 ,3 0 0 8 5 4 ,7 5 0 8 2 7 ,7 0 0 6 8 1 ,8 0 0 5 9 6 ,4 0 0 5 3 4 ,9 0 0 SHIAUASSEE 8 ,0 5 2 ,3 0 0 1 ,2 1 9 ,9 5 0 9 ,3 1 0 ,7 0 0 8 2 1 ,5 0 0 8 .8 4 2 .6 0 0 1 .3 6 5 .7 7 5 9 .5 8 9 .0 0 0 TUSCOLA 1 ,4 6 0 ,4 2 5 5 ,1 8 8 ,0 0 0 6 1 8 ,2 0 0 4 ,9 8 7 ,8 0 0 6 8 4 ,3 0 0 4 .6 5 4 .4 0 0 7 6 1 ,0 0 0 VAN RUMEN 4 .4 3 9 .8 0 0 6 ,3 7 2 ,1 0 0 4 2 6 ,0 7 5 2 ,0 4 0 ,5 7 5 5 ,4 3 7 ,9 0 0 2 ,4 1 1 ,1 7 5 6 .3 0 6 .3 0 0 2 ,4 2 6 ,6 7 5 6 .6 3 7 .9 0 0 UASTEHAU 1 ,8 2 0 ,3 0 0 4 7 ,8 0 2 ,8 0 0 3 ,1 3 9 ,6 7 5 5 1 ,8 9 5 ,9 0 0 2 ,5 1 9 ,9 0 0 5 6 ,3 9 9 ,5 0 0 6 ,9 4 4 ,6 2 5 5 9 ,8 4 6 ,2 0 0 6 ,7 7 2 ,2 7 5 4 0 9 ,3 5 4 ,8 0 0 3 0 ,1 8 4 ,0 2 5 4 5 7 ,4 5 2 ,5 0 0 3 4 ,1 8 2 ,6 7 5 4 4 5 ,5 4 2 ,4 0 0 3 1 ,9 2 5 ,9 2 5 4 7 9 .7 3 2 .2 0 0 1 4 ,4 1 8 ,1 0 0 5 ,4 5 6 ,0 0 0 1 ,0 4 3 ,0 0 0 4 ,9 4 1 ,3 0 0 1 ,2 8 2 ,7 2 5 5 ,4 7 9 ,7 0 0 3 7 3 ,6 0 0 4 .0 8 4 .4 0 0 9 9 5 ,9 2 5 UATNE UEXTONO APPENDIX D DATA MATRIX 1983 DATA NOTEL/MOTEL HOTEL/HOTEL SPORTINO WOMEN'S NEN'S/NOY'S FAMILT SALES TAX CLOTHING FAST TAVERNSi EAT INS A TRAVEL CLUSS EXPENDITURES TRAVEL BENERATEO TRAVEL GERERATEO COUNTV POPULATION ALCONA m o 11209 15407 14170 503 0 47030 9357 50961 3404 23052000 3624000 ALGER 9225 313 13232 50302 1920 1760 0 33171 1510 100695 3447 14002000 2590000 343 734 USE TAX CLOTHING gooos RESTAURANTS FOOD DRINKING PAYROLL EMPLOYMENT ALLEGAN BI555 62439 91327 13904 31909 29070 400163 04147 295567 22005 32746000 5577000 ALKNA 32315 45760 60563 6 7967 36503 15000 535925 07069 110123 15790 23900000 4162000 527 ANTRIM H IM 74200 06711 34300 0 1500 110669 7025 100141 5609 44149000 7394000 678 474 ARENAC H 706 36443 30766 53311 0 3029 79902 00035 05091 6206 27301000 4392000 RARAGA 0AM 4490 7517 7001 1595 0 35440 9122 23710 2693 3202000 531000 63 GARRY A57B1 3599 4273 57360 5339 1230 192062 17132 07239 7243 13150000 1960000 154 490 ■AY IENZIE GERRIEN 119001 15204 03905 255344 200336 19600 935253 253923 410062 54272 23060000 3945000 11295 11094 3SS00 16322 11664 0090 177316 2510 30004 5024 12577000 2116000 251 171276 137296 171105 156036 100339 174763 915765 350400 615126 76733 04115000 15134000 1702 RRANCN 40100 6590 20150 49405 19515 22493 244090 31377 92159 11494 14996000 2366000 CLAHOUN 242 141557 56165 120701 9 0246 50901 20450 3113650 439403 366193 76210 40075000 7209000 914 CASS 49499 2661 25041 10101 17069 11523 76935 57630 193742 15170 9466000 1537000 167 CHARLVX. 19907 191266 171654 13312 22952 0 190790 30043 62406 7603 73004000 12621000 CHEGOT. 1713 20649 34219 103590 16077 3006 7174 119170 57157 94564 14002 30074000 6450000 761 CNIFF. 29029 31996 105010 42902 1721 12432 300971 71201 146573 11037 27063000 4645000 647 CLARE 23022 53632 20232 2022 5251 14039 120322 29600 99303 6061 31179000 5024000 533 CLINTON 55093 193 13722 6040 17097 0 232605 13054 150043 13527 3007000 559000 69 9465 75690 120612 10360 0113 0 90795 30710 60104 7902 45604000 7790000 968 CRAUFORO DELTA 30947 59543 90026 45796 220417 19260 449316 50725 202021 16510 32130000 5616000 750 OICXIN. 25341 47957 30414 20501 37000 29942 107174 76576 107002 10302 19159000 3393000 4 59 EATON 00337 150254 9477 120320 70103 40160 446742 75312 176432 43025 32360000 5527000 762 EIWET 22992 166430 303223 141267 56994 4515 374905 67595 25534 17741 100654000 19145000 2579 GENESSE 430449 131919 305560 067447 411450 352690 3000002 1105625 1392326 222705 99000000 17277000 2156 GLADWIN 19957 11092 7035 14623 7591 0 120940 17056 55422 5794 40630000 6063000 464 OOGENIC 19606 76341 01397 27633 11265 9700 30061 36109 92591 6613 34403000 5964000 773 GR.TRAV. 54099 202033 519120 229351 90301 05034 1170239 101726 264662 41222 134096000 27465000 3720 GRATOIT 40440 2750 31900 16334 234150 14503 194624 63210 74690 14666 0991000 1647000 187 HOTEL/MOTEL HOTEL/HOTEL SPORTING WOMEN'S COUNTY POPULATION SALES TAX USE TAX GOOOS MEN'S/BOY'S FAMILY CLOTHING CLOTHING FAST RESTAURANTS FOOD TAVERNSi EATING 8 TRAVEL CLUBS EXPENDITURES DRINKING TRAVEL GENERATED TRAVEL GENERATE!) PAYROLL EMPLOYMENT HILLSO. 42071 3412 11356 16450 18100 18088 368805 5387 81436 10640 12107000 1796000 157 HOUGHTON 37872 61508 63836 41836 5105 8772 137335 24747 209885 16518 26936000 4702000 613 HURON INGHAM 36459 67379 49673 66761 19966 12957 254287 50499 140718 11723 32095000 5326000 637 275520 73255 131415 196407 429337 258976 2306156 966386 1283128 163994 64808000 12866000 1247 IONIA 51815 60760 36432 19180 7969 10811 171283 118167 246802 12008 19105000 3308000 4 49 IOSCO 28349 26228 80488 28025 20977 0 499575 54849 120916 10384 55848000 8746000 850 IRON 13635 9095 127980 8987 13234 9120 97425 13340 65223 4855 25459000 4507000 623 ISABELLA 54110 60874 86246 78348 55926 23377 481470 129204 218160 27955 30012000 5249000 695 JACKSON 151495 82111 162475 115269 21946 108163 1461931 496849 484508 52866 54343000 10004000 1213 KALAHAZ. 212378 167467 150269 233362 267973 469700 1506227 1280214 621938 121214 82141000 16054000 1723 10952 16528 14721 8752 713 0 126647 611 37072 4659 8902000 1464000 173 444506 628282 639542 636491 2403822 363664 5964573 796261 1394344 238307 262129000 48535000 6157 KALKAS. KENT KEUEENAU 1963 17451 26083 0 0 0 8324 33 8045 1060 9329000 1617000 212 LAKE 7711 29075 47479 11552 0 0 32163 20429 75285 4288 49643000 7707000 708 LAPEER 70038 1158 35088 10827 25855 11174 443401 85427 115921 20852 9543000 1524000 186 LEELAN. 14007 95581 137722 9412 162 0 69635 12699 128245 5831 54899000 9371000 1182 LENAUEE 89948 34925 18057 62972 37161 39695 616571 120295 231530 36368 29039000 4492000 427 LIV. 100289 35716 2285 74410 29470 14577 395562 77015 151189 41537 14117000 2326000 267 LUCE 6659 65095 13479 6751 0 0 31700 9291 16209 1816 4246000 729000 96 10178 529023 251821 31393 542 737 209413 49551 79818 7282 141168000 25242000 3561 2699 MACKINAC 694600 144117 338212 696028 279867 752376 7981457 1315644 2510811 351670 135530000 23642000 MANISTEE 23019 66209 84237 18368 11073 18363 126865 42067 150839 5769 30091000 5192000 674 HARQ. 74101 76614 82435 100788 59163 3825 589857 294397 262715 35900 40765000 7692000 902 MACOMB MASON 26365 23605 84854 43131 11517 29186 352610 84767 117956 14596 32275000 5330000 611 MECOSTA 36961 35118 62234 68760 2348 23345 136153 79766 146372 21004 41489000 6610000 6 86 HEMOM. 26201 27764 20960 6424 9026 0 125128 60993 107103 11879 7366000 1203000 141 MIDLAND 73578 60266 137467 103188 63722 150041 545941 24185 150378 23121 46187000 8343000 1090 NISSAUK MONROE 10009 PW£ £ YOOO 4855 3410 1255 0 3307 12704 41172 2148 4077000 614000 52 134659 35661 49955 125961 20621 34331 416811 72555 338760 38107 22523000 3939000 4 83 COUNTY MONTCALM MONTH. POPULATION HOTEL/HOTEL HOTEL/HOTEL SPORTING WOMEN'S MEN'S/BOY'S FAMILY SALES TAX CLOTHING USE TAX GOOOS CLOTNING FAST RESTAURANTS FOOO TAVERNS* EATING t TRAVEL CLU8S EXPENDITURES ORINKING TRAVEL GENERATEO TRAVEL GENERATED PAYROLL EMPLOYMENT 47555 10300 7699 73076 25926 0 233157 34561 143979 16451 11548000 1734000 162 7492 15578 17686 5919 0 1902 61963 10267 39437 4232 17047000 2650000 245 940 MUSKEGON 157589 71947 100828 184461 3 5217 99762 912956 397686 433520 63004 45003000 8268000 NEWAYGO 34917 334308 10655 32850 42838 46185 192952 41796 90337 9986 8976000 1396000 142 OAKLAND 1011793 850355 1504255 2539943 3462843 2334271 12838077 3838870 3212934 677150 598666000 112914000 13572 OCEAKA 22002 14069 21684 18694 0 0 85358 18615 89704 4858 8882000 1489000 176 OGEMAW 1643* 13184 15377 11290 12928 6521 224126 31544 55989 3501 22385000 3428000 304 387 9061 12316 69164 6494 0 8074 48520 7833 53985 3947 16184000 2828000 OSCEOLA 18928 8921 2922 3316 3955 1162 83787 25382 49689 4287 11639000 1734000 140 OSCOOA 6858 29862 8889 4449 0 0 63665 9790 26482 3973 20076000 3069000 267 OTSEGO 14993 117095 160746 22843 18027 6765 333181 1231 50739 14774 50038000 8695000 1147 OTTAWA 157174 191332 112049 222779 85306 151749 914963 327874 26326 60216 75849000 13696000 1753 P R .IS . 14267 34068 5875 4166 623 6531 4 5407 24821 72218 3200 5784000 918000 98 SOSCOM 16374 138709 143583 14000 16054 16106 172512 31497 106130 10714 70609000 10995000 1038 SAGINAW 228059 157653 234731 278784 530869 263514 2081963 179799 751653 157518 82639000 14928000 1948 ST.CLAIR 138802 119074 128483 109179 415224 73307 1008027 157002 453897 71119 15706000 2526000 287 ST.JOE 56083 45992 48440 42550 45889 22163 617555 135432 320619 19419 16043000 2782000 366 SANILAC 40789 33516 13098 17849 14292 772 125279 46140 114034 8439 11153000 2647000 225 SCHCRAFT 8575 16371 55321 4186 99 0 58425 2837 36768 3715 55588000 9626000 1277 471 ONTON SHIAWA. 71140 4940 29915 117459 24519 25645 370890 94846 187041 21171 21002000 3563000 TUSCOLA 56961 11913 17183 56546 25767 9906 232248 11995 162501 12919 7772000 1235000 146 VANBUR 66814 90055 55109 42174 8702 14362 336507 77094 204044 15422 25717000 4291000 541 WASHIEN WAYNE WEXFORD 264748 557500 281639 278458 263873 308333 2037699 553706 665502 153032 223037000 53555000 3675 2337891 1264454 2014427 1458709 5882463 1926134 1758153 4093452 6648205 969554 1692458000 399654000 28943 25102 365272 53064 66383 48938 42332 259960 26963 106534 11993 25092000 4163000 502 STATE TAX LOCAL TAX COUNTY RECEIPTS ALCONA 379000 ALGEN 767000 127000 ALLEGAN 1712000 274000 ALPENA 1176000 205000 ANTRIH 1784000 364000 ARENAC 876000 215000 RARAGA 134000 26000 NARRY 131000 97000 1184000 195000 RAY RENZIE RERRIEN RECEIPTS 178000 S21000 104000 3S33000 744000 ■RANCH 438000 117000 CLAHOUN 2105000 354000 CASS 352000 76000 CHARLVX. 3898000 631000 CHEROY. 1544000 318000 cm 1480000 239000 CLARE 961000 247000 CLINTON 192000 27000 2137000 383000 DELTA 1733000 277000 DICXIN. 1068000 167000 EATON 1870000 271000 EWCT 5900000 941000 GENESSE 5210000 849000 GLADWIN 383000 298000 GOGERIC 1713000 293000 GR.TRAV. 8625000 1351000 GRATOIT 413000 81000 pp. CRAUFORO -fs> STATE TAX CQUNTT NILLSO. HOUGHTON RECEIPTS LOCAL TAX RECEIPTS 227000 88000 1370000 231000 HURON 1318000 282000 INGHAM 2847000 833000 IONIA 1083000 163000 IOSCO 1328000 430000 IRON 1481000 222000 1SAUL LA 1812000 238000 JACKSON 2731000 492000 KAUHAZ. 3781000 789000 KALKAS. 334000 72000 14192000 2388000 KENT KEUEENAU 470000 80000 LAKE 901000 378000 LAPEER 437000 75000 LEELAN. 2337000 480000 LEHAUEE 719000 221000 LIV. 808000 115000 LUCE 222000 38000 MACKINAC 8414000 1241000 1163000 HAGOMR 8804000 MANISTEE 1500000 233000 MARQ. 2015000 378000 NASON 1202000 282000 MECOSTA 1193000 323000 NENOM. NIOLANO NISSAUK MONROE 290000 59000 2449000 410000 71000 31000 1108000 193000 -F> on STATE TAX COUNTY RECEIPTS LOCAL TAX RECEIPTS MONTCALM 283000 83000 MONTH. 3A8000 130000 2068000 407000 MUSKEGON NEUAYGO 231000 68000 OAKLAND 30637000 5332000 OCEANA 364000 74000 OGEMAW 403000 168000 CNTON 894000 139000 OSCEOLA 133000 83000 OSCODA 323000 151000 OTSEGO 2377000 428000 OTTAUA 4019000 674000 pr. i s . 160000 43000 ROSCOM SAGINAW 1321000 540000 4337000 734000 ST.CLAIR 376000 124000 ST.JOE 830000 137000 SANILAC 433000 130000 SCHCRAFT 2961000 473000 SHIAUA. 1103000 175000 TUSCOLA 332000 61000 1216000 211000 VANRUR UASHTEN WAYNE WEXFORD 6110000 2633000 30468000 19851000 10S3000 203000 -P» cn APPENDIX E DATA MATRIX 1986 DATA COUNTY POPULATION HOTEL/MOTEL HOTEL/HOTEL SPORTING WOMEN'S MEN'S/BOYS FAMILY SALES TAX CLOTHING CLOTHING RESTAURANTS USE TAX GOOOS FAST FOOO TAVERNS 8 EATING 8 CLUBS DRINKING TRAVEL TRAVEL GENERATED TRAVEL GENERATED EXPENDITURES PAYROLL EMPLOYMENT ALCONA 9740 3539 9170 12278 0 0 52210 5265 81815 1888 28430000 3859000 268 ALGER 9225 13969 73656 8543 0 0 59142 845 74078 3596 19777000 3670000 423 ALLEGAN B15S5 70065 108190 49095 33662 33125 524626 83292 335735 22963 42413000 7689000 869 ALPENA 32315 39266 43018 82935 44937 10354 372956 201552 116110 10731 22919000 4094000 435 ANTRIM 16194 144325 154794 45765 4452 0 193166 12584 80132 5228 78119000 13901000 1531 ARENAC 14706 2567 16258 13427 0 580 109816 85706 83442 8737 22784000 3166000 238 BARAGA 8464 3916 10516 6251 5898 0 38839 18650 25600 1881 4440000 820000 81 45781 3801 5176 90785 3594 7605 169308 65602 81857 12619 17790000 2451000 174 IARRY (AY 119881 20518 45405 318459 189068 1867 1191695 435277 405810 60704 20165000 3298000 344 11295 25432 48458 23544 14787 10151 198410 4148 28893 3295 19740000 3471000 381 BERRIEN 171276 137354 209441 191822 90575 140412 1074712 1173385 696315 81630 97187000 17621000 1852 (RANCH 40188 29142 57428 52814 32243 18858 279743 56552 105448 10895 28548000 4760000 488 141557 56391 112106 106749 36443 7116 3019211 506035 411732 82043 43634000 8260000 878 BENZIE CLAHOUN CASS 49499 534 9803 15132 19066 6659 79847 116461 202493 9245 7939000 1120000 90 CHARLVX. 19907 241444 157403 26816 28704 275 187637 44591 96862 10724 68364000 16560000 1913 CHEBOY. 20649 24589 69559 30045 2564 9583 152730 118456 87050 15297 37883000 6076000 587 CH1PP. 29029 48099 114822 44025 0 8105 410737 143356 169554 17616 36103000 6691000 777 CLARE 23822 53444 35366 105089 10426 9233 175382 16617 100743 10016 39608000 6242000 585 CLINTON 55893 432 10599 1842 19671 0 192039 94414 140874 12156 4402000 608000 59 9465 80822 125471 17986 4795 0 141391 17791 75436 4883 54299000 9630000 1059 DELTA 38947 30348 75129 42093 367995 18287 478506 91478 240300 13041 26035000 4678000 524 DICKIN. 25341 25990 59755 22962 37162 49470 106301 352589 125092 11236 21865000 4388000 447 EATON 88337 132973 107236 168331 82677 31660 700153 233802 162997 48836 50486000 9398000 1113 EMHET 22992 111119 423925 200237 74524 5431 396711 90777 367480 20642 118375000 22201000 2570 GENESSE 450449 183570 335973 1455585 484422 354406 5054314 1689535 1496995 271589 133367000 24179000 2604 GLADWIN 19957 10204 9933 27725 12963 0 181064 9806 71869 6120 54190000 7335000 503 GOGEBIC 19686 73588 87681 24471 1680 4272 109442 23986 92207 7359 39995000 7285000 809 GR.TRAV. 54899 425961 934784 285150 73462 92167 1459718 378424 1041213 53221 278771000 53665000 6350 GRATOIT 40448 2717 58025 15447 245943 15020 184024 101729 100308 16539 15503000 2947000 310 CRAUFORO COUNTY POPULATION HOTEL/MOTEL HOTEL/MOTEL SPORTING WOMEN'S MEN'S/BOYS FAMILY SALES TAX CLOTHING CLOTHING RESTAURANTS USE TAX GOODS FAST FOCO TAVERNS t EATING t CLUBS DRINKING TRAVEL TRAVEL GENERATED TRAVEL GENERATED EXPENDITURES PAYROLL EMPLOYMENT H ILISO. 42071 8068 10179 18957 25482 14832 351232 86403 101036 12606 16654000 2348000 186 HOUGHTON 37872 75046 86222 52365 6254 3841 109825 99920 164221 10585 37520000 6962000 790 HURON INGHAM 36459 63917 31908 24003 21196 16498 287445 72866 135657 16162 33955000 5558000 559 275520 360651 218294 232147 371723 301720 2818950 933305 1527315 205347 146254000 28870000 2997 IONIA 51815 26002 17240 18493 7522 7168 155415 126784 110397 16493 11030000 1881000 211 IOSCO 28349 40488 95137 28826 19946 0 260353 6 3467 152432 15434 76113000 11588000 1024 IRON 13635 7049 17311 19873 22219 7686 124812 11783 62601 3712 6657000 1168000 126 ISABELLA 54110 96916 109002 63299 62040 28000 528930 371511 195647 23288 44989000 8450000 981 JACKSON 151495 99372 136323 108440 50022 83289 1804375 541852 498286 70776 56148000 10515000 1166 KALAMAZ. 212378 134970 150393 349230 246810 609751 1714633 1944806 715150 162231 91413000 18876000 1689 10952 16419 14805 16016 1243 0 157761 5089 27367 4791 1059400G 1748000 178 444506 946606 920131 911896 2905419 433219 6388995 1656576 1621483 318142 415638000 82030000 9147 KEUEENAU 1963 20543 16014 9746 1422 0 13012 213 8495 1371 9228000 1660000 185 LAKE 7711 6709 10208 16969 0 0 40708 22743 93286 3711 52263000 7064000 479 KALKAS. KENT LAPEER 70038 11482 15370 17312 41831 11480 504994 110997 166767 15657 9694000 1472000 148 LEELAN. 14007 129664 199835 12491 1140 3584 177938 24368 84371 5578 81419000 14711000 1648 LENAUEE 89948 14674 43445 127642 39296 36168 752407 188797 302158 38919 39047000 5865000 608 LIV. 100289 5468 154817 122895 23434 17133 471479 540360 216870 30476 38719000 7067000 791 LUCE 6659 6691 15010 11043 0 0 48504 11901 19685 3414 5044000 912000 104 10178 691663 292559 49724 4896 1989 267116 61094 126241 10614 189095000 36884000 4480 3723 MACKINAC MACOMB 694600 178395 517329 924293 325706 719818 7397905 1526561 3225241 463161 205045000 37826000 MANISTEE 23019 49093 104797 22239 6310 18066 164274 61358 149969 8600 37134000 6737000 759 HARO. 74101 104293 99613 127048 79310 4942 683126 154326 324972 29711 148492000 37864000 2228 MASON . 26365 24027 82604 46349 17493 27973 309025 96030 120278 12143 38736000 6378000 634 MECOSTA 36961 35518 42003 85188 9009 20976 175831 148428 140196 21728 47155000 7085000 613 MENOM. 26201 4469 14728 6268 8026 0 119098 73448 135443 8787 7681000 1223000 118 MIDLAND 73578 90481 131424 116778 132895 125180 534439 49321 159120 39573 52355000 9986000 1116 HISSAUK MONROE 10009 1670 9237 5428 0 0 37664 13467 40224 2594 6452000 964000 83 134659 65148 144926 137323 46175 33130 453666 137891 400642 49966 49792000 9361000 1044 COUNTY POPULATION MOTEL/HOTEL HOTEL/HOTEL SPORTING SALES TAX MONTCALM NORM MUSKEGON NEUAGO OAKLAND USE TAX GOOOS WOMEN'S HEN'S/BOYS FAMILY CLOTHING CLOTHING FAST FOOO TAVERNS t EATING t RESTAURANTS CLUBS DRINKING TRAVEL TRAVEL GENERATED TRAVEL GENERATED EXPENDITURES PAYROLL EMPLOYMENT *7555 12539 1880 36083 2 6917 0 381*63 30161 176855 1*976 1*426000 2050000 IS * 7*92 8211 21966 6535 0 1563 103015 3887 52852 3070 22327000 3297000 273 157589 277*5 *9181 209320 3750* 120272 1096938 3959*9 53*420 78783 3021*000 5313000 483 34917 5505 4788 359*5 (6 0 1 9 49990 220382 29305 9*582 91*9 9*32000 1315000 10* 1011793 1891873 2300*76 4*154*3 2226363 2*273*8 161183*9 6331021 3855141 872983 98*770000 1958*7000 21130 OCEANA 22002 532* 2567* 18822 0 0 133817 20838 97796 635* 10*61000 1768000 178 OGEMAW 16*36 1*960 21*99 102*6 26159 5217 166033 20332 6*725 11383 30281000 4399000 356 302 9861 801* 5*996 11324 0 9*68 52379 8829 71356 2827 1*237000 2612000 OSCEOLA 18928 13575 *137 783 *2*6 0 92071 38*07 70913 6171 16989000 2*16000 188 OSCODA 6858 6867 11977 3091 0 0 53107 20723 31*70 3726 25268000 3543000 263 ONTON OTSEGO 1*993 61918 152038 25767 12778 557 25675* *7740 67*99 10705 51S88000 9350000 1056 OTTAWA 15717* 21*170 150672 31176* 78091 151806 1*60029 288227 330371 65519 870*4000 1660*000 1823 P R .IS . 1*267 11*11 10596 5530 *98 7591 78985 2388 79798 3730 8*80000 1361000 133 ROSCOH 1637* 1516*5 82611 16993 10*67 11259 212710 137367 128891 10132 111*47000 17*51000 1608 SAGINAW 228059 111613 130971 258388 689*16 30*6*2 2603371 13163* 868510 17*78* 679*1000 13352000 1335 ST.CLAIR 138802 155311 150471 126672 671786 38306 1277098 334050 518798 59023 20231000 3258000 325 ST. JOE 56083 23557 2*690 *2859 *7097 193*9 50*5*2 190087 *03920 17081 23305000 *327000 500 SANILAC *0789 37871 17514 12926 26*2* 0 180333 35088 132189 7726 1*588000 3527000 290 8575 29613 7*97* 5608 2250 0 *5252 1868 *4*16 3157 70**9000 12973000 1*85 SHIAWA. 711*0 10898 30227 163301 25*38 5326 4*1977 89154 168081 190*7 1*439000 2359000 251 TUSCOLA 56961 *838 9666 5959* 23239 13833 19*635 *9560 186*71 11195 7101000 1020000 93 VANBUR 6681* 36000 *0**3 62021 805* 88*1 338328 97020 2*5569 20080 2*132000 3979000 *15 SCHCRAFT WASHTEN WAYNE WEXFORD 26*7*8 238*25 *73275 399038 379778 218810 266*739 1188970 670772 19*491 375676000 91842000 6094 2337891 130*239 23*0670 1561633 *699610 1686*46 19766012 6371082 75*0981 120926* 213328*000 525940000 33685 25102 696*5 76596 50673 *1*3* *1768 203213 3825* 122978 15022 398*6000 6980000 757 COUNTY ALCONA STATE TAX LOCAL TAX RECEIPTS RECEIPTS 317000 183000 ALGER 1031000 173000 ALLEGAN 2191000 363000 ALPENA 1030000 193000 ANTRIM 3300000 657000 ARENAC 350000 150000 ■ARAGA 103000 39000 RARRY 223000 116000 RAY 965000 156000 8EN2IE 090000 164000 4362000 833000 ■RANCH 1117000 225000 CUNOUN 2178000 391000 IERRIEN CASS 199000 53000 CHARLVX. 4697000 783000 CNEIOY. 1232000 287800 CHIPP. 1910000 317000 CLARE 1108000 295000 CLINTON 199000 29000 CRAUHRD 2481000 455000 DELTA 1307000 221000 o ic k in . 1063000 207000 EATON 2919000 445000 EMCT 6310000 1050000 GENESSE 6907000 1143000 GLADUIN 552000 346000 GOGERIC 1933000 344000 GR.TRAV. 15932000 2538090 773000 139000 GRATOIT cn O COUNTY N1LISO. NOUGNTON STATE TAX LOCAL TAX RECEIPTS RECEIPTS 328000 111000 1927000 330000 HURON 1238000 283000 INGHAM 7378000 1365000 IONIA ssaooo 89000 IOSCO 1905000 548000 IRON 301000 55000 IS A K L U 2A83000 399000 JACKSON 2928000 498000 KALAHAZ. 3922000 893000 KALKAS. 400000 82000 22759000 3879000 KENT KEUEENAU 434000 78000 LAKE 495000 334000 LAKER 422000 70000 LEELAH. 3920000 898000 LENAUEE LIV. LUCE 949300 278000 1999000 334000 281000 43000 11380000 1744000 MACOMR 9668000 1789000 MANISTEE 1842000 319000 MAM. 3613000 1791000 MASON 1382000 302000 MECOSTA 1120000 335000 MACKINAC HENON. MIDLAND HISSAUK MONROE 259000 58000 2708000 472000 180000 45000 2829000 443000 cn COUNTY STATE TAX LOCAL TAX RECEIPTS RECEIPTS MONTCALM 296000 97000 MONM 453000 156000 11*5000 251000 MUSKEGON NEUAOO OAKLAND 167000 62000 51668000 9262000 OCEANA 401000 63000 OGEMAU 577000 206000 ONTON 751000 124000 OSCEOLA 300000 114000 OSCODA 350000 168000 OTSEGO 2S54000 443000 785000 OTTAUA 4527000 P R .IS . 268000 64000 •OSCOM 3130000 625000 SAGINAU 3278000 632000 ST.CLAI* ST.JOE 733000 154000 1234000 205000 SANILAC 620000 167000 SCHCRAFT 3717000 614000 SHIAUA. 656000 112000 TUSCOLA 246000 49000 VANBUN 1010000 166000 UASNIEN 11154000 4343000 UATNE 59751000 25270000 1796000 330000 UEXFONO Ol r>o APPENDIX F STATISTICAL ABSTRACT FOR HOTEL/MOTEL USE TAX BY QUARTER FOR MICHIGAN COUNTIES 1983-1986 COUNTY POPULATION HOTEL/ SALES PERCENT MOTEL REVENUES OF 'IOTAL CAPITA OF TOTAL MOTEL USE TAX USE PER SALES PERCENT YEAR HOTEL/ SALES PERCENT REVENUES OF 'TOTAL CAPITA OF TOTAL 0 1 ts 0 2 USE TAX USE TAX 30 750 ALGER 9 ,2 2 5 7 ,7 7 8 ALLEGAN 8 1 .5 5 5 ALPENA 3 2 ,3 1 5 ANTRIM ARENAC BARAGA 0.2X 2 ,3 0 0 5 7 ,5 0 0 1 9 4 ,450 0.3X S 2 1 .0 8 13.3X 10,4 3 4 2 6 0 ,8 5 0 1 0 ,313 2 5 7 ,8 2 5 0.5X S 3 .1 6 1 1 .3X 2 7 .1 8 8 6 ,7 4 6 1 6 8 ,650 0.3X S 5 .2 2 1 1 . IX 1 6,1 9 4 2 ,9 0 2 7 2 ,5 5 0 0.1X S 4 .4 8 14,7 0 6 3 ,0 2 4 7 5 ,6 0 0 0.1X S 5 .1 4 8 ,4 8 4 502 12,5 5 0 O.OX 4 5 ,781 317 7 ,9 2 5 119,881 1 2,635 11,2 0 5 BERRIEN BRANCH CALHOUN CASS HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q2toQ3 USE TAX USE 0.0% PER SALES PERCENT CHANGE YEAR TAX 1 9 8 3 (3 ) SO.08 BENZIE YEAR 1 9 8 3 (2 ) 9 ,7 4 0 BAY SALES PERCENT CHANGE TAX 19 8 3 (1 ) ALCONA BARRY PER 0.1X 14.9% 7566.7% 1 0 ,6 6 8 2 6 6 .7 0 0 0.2% S 2 7 .3 8 69.2% 363.8% 0 .3X S 2 8 .2 8 17.9X 34.1% 3 0 ,0 5 3 7 5 1 ,3 2 5 0.6X S 8 1 .4 4 51.5% 1 8 8 .OX 6 7 9 .7 0 0 0.9X SB.33 29.BX 1 6 3 .6X 4 4 ,0 3 2 1 ,1 0 0 ,8 0 0 0.9 X S 1 3 .5 0 4 8.2X 6 2 . OX 13,1 4 5 3 2 8 ,6 2 5 0 .4 X S 1 0 .1 7 21.7% 94.9% 3 2 ,4 3 6 8 1 0 ,9 0 0 0.7% S 2 5 .0 9 53.6% 3.3 X 2 3 ,9 1 6 5 9 7 ,9 0 0 0.8X S 3 6 .9 2 27.6X 7 2 4 .IX 4 3 ,5 0 9 1 ,0 8 7 ,7 2 5 0.9 X S 6 7 .1 7 S0.2X 146.8X 81.9% 7.8X 7 ,1 4 2 178,5 5 0 0.2X S 1 2 .1 4 18.4% 136.2X 2 0 ,0 0 5 5 0 0 ,1 2 5 O.AX S 34.01 51.6X 1 8 0 .IX SI .4 8 6 .7 X 1 ,3 9 8 3 4 ,9 5 0 O.OX S 4 .1 2 18.6X 178.5X 3 ,9 9 4 9 9 ,8 5 0 0.1 X S 1 1 .7 7 5 3 . IX 185.7X O.OX S O .17 7.4X 761 19,025 O.OX SO.42 1 7 .BX 1 4 0 .IX 2 ,0 7 3 5 1 ,8 2 5 O.OX S I . 13 4 8 .SX 172.4X 3 1 5 ,8 7 5 0.6X S 2 .6 3 1 5 .IX 19,6 5 5 4 9 1 ,3 7 5 0 .6X S 4 .1 0 2 3 .4X 5 5 .6X 2 9 ,5 6 9 7 3 9 ,2 2 5 0.6 X S 6 .1 7 35.2X 50.4X 2 ,7 5 2 6 8 ,8 0 0 0.1X S 6 .1 4 7.8X 4 ,8 2 4 120,600 0.2X S 1 0 .7 6 13.6X 75.3X 2 2 ,6 2 2 5 6 5 ,5 5 0 0.5 X S 5 0 .4 7 63.7X 368.9X 1 7 1 ,2 7 6 2 5 ,4 8 4 6 3 7 ,1 0 0 1.1X S 3 .7 2 14.9X 4 3 ,7 8 0 1 ,0 9 4 ,5 0 0 1.4X S 6 .3 9 25.6X 71.6% 6 9 ,8 5 2 1 ,7 4 6 ,3 0 0 1.4X S 1 0 .2 0 40.8X 59.6X 4 0 ,1 8 8 3 ,7 4 9 9 3 ,7 2 5 0.2X S 2 .3 3 13.3X 9 ,1 5 1 228 ,7 7 5 0.3X S S .6 9 32.5X 1 4 4 .IX 1 0 ,3 1 2 2 5 7 ,8 0 0 0.2 X S6.41 36.6X 12.7X 1 4 1 ,5 5 7 2 3 ,9 7 9 5 9 9 ,475 1.1X S 4 .2 3 18.6X 3 8 ,3 5 7 9SB.925 1.2X S 6 .7 7 29.SX 6 0 . OX 4 0 ,7 5 6 1 ,0 1 8 ,9 0 0 0 .8 X S 7 .2 0 3 1 .6X 6.3 X 4 9 ,4 9 9 2 ,4 1 0 6 0 ,2 5 0 0.1X S I . 22 9.3 X 6 ,5 4 0 163,5 0 0 0.2X S 3 .3 0 25.3X 171.4% 11,481 2 8 7 ,0 2 5 0 .2 X $ 5 .8 0 44.4X 75.6X S 5 .9 0 CHARLVX. 1 9 ,9 0 7 3 8 ,6 9 7 9 6 7 .4 2 5 1.7X S 4 8 .6 0 22.5X 3 0 ,8 2 3 770 ,5 7 5 1.0X S 38.71 1 8 .OX -2 0 .3 X 7 8 ,5 9 9 1 ,9 6 4 ,9 7 5 1.6X S98.71 45.ax 155.0% CHEBOYGAN 2 0 ,6 4 9 8 ,5 6 7 2 1 4 ,1 7 5 0.4X S 1 0 .3 7 8.3X 2 3 ,5 6 6 5 8 9 ,1 5 0 0.8 X S 2 8 .5 3 22.7X 1 7 5 .IX 6 0 ,1 0 4 1 ,5 0 2 ,6 0 0 1.2% S 7 2 .7 7 5 8 .OX 1 5 5 .OX CHIPPEWA 2 9 ,0 2 9 1 0 ,1 8 7 2 5 4,675 0.4X S 8 .7 7 9 .7 X 2 1 ,961 5 4 9 ,0 2 5 0 .7X S18.91 20.9X 115.6% 5 9 ,6 5 7 1 ,4 9 1 ,4 2 5 1.2X SSI .3 8 56.8X 171.6X CLARE 2 3 ,8 2 2 4 ,4 2 9 110,725 0.2X S 4 .6 5 1 5 .7X 7 ,1 6 8 179,2 0 0 0.2X S 7 .5 2 25.4X 6 1 .8X 10,945 2 7 3 ,6 2 5 0.2 X S 11 .4 9 3 8 .BX 52.7X CLINTON 5 5 ,8 9 3 1 ,5 8 0 3 9 ,5 0 0 0.1X SO.71 1 1 .5X 7 ,2 2 9 1 80,7 2 5 0.2X S 3 . 23 52.7% 357.5X 2 ,8 1 6 7 0 ,4 0 0 0.1 X S I . 26 20.5X - 6 1 .OX 53.8X 9 ,4 6 5 1 8 .924 4 7 3 ,1 0 0 o.ax S 4 9 .9 8 1 5 .7X 3 1 ,3 7 1 784,275 1.0X S 8 2 .8 6 2 6 .OX 65.8X 4 8 ,2 4 2 1 ,2 0 6 ,0 5 0 1.0X S127.42 4 0 .OX 3 8 ,9 4 7 8 ,8 6 9 2 2 1 ,725 0.4X S 5 .6 9 9 . OX 16,4 7 3 411 ,8 2 5 0.5X S 1 0 .5 7 16.7X 85.7% 5 3 ,4 0 3 1 ,3 3 5 .0 7 5 1.1X S 3 4 .2 8 5 4 .OX 224.2X OICKINSON 2 5 ,341 9 ,2 9 4 2 3 2 ,3 5 0 0.4X S 9 .1 7 1 8 .4X 9 ,8 6 6 2 4 6 ,6 5 0 0.3X S 9 .7 3 19.6% 6.2X 18,591 4 6 4 ,7 7 5 EATON 8 8 ,3 3 7 2 ,0 2 3 5 0 ,5 7 5 0.1X SO.57 2 1 .3X 2 ,3 8 8 5 9 ,7 0 0 0.1X SO.68 2 5 . 2X 1 6 .OX 2 ,9 6 2 7 4 ,0 5 0 CRAWFORD DELTA 0.4 X S 1 8 .3 4 36.9X 8 8.4X 0.1 X SO.84 31.3X 2 4 .OX 3 1 6 .IX 2 2 ,9 9 2 4 1 ,8 6 3 1 ,0 4 6 ,5 7 5 1.8X S 4 5 .5 2 10.9X 5 6 ,5 0 5 1 ,4 1 2 ,6 2 5 1.8X S 6 1 .4 4 1 4 .7X 3 5 .OX 2 3 5 ,1 3 8 5 ,8 7 8 ,4 5 0 4 .9X S 255.67 6 1 .4 * GENESSE 4 5 0 ,4 4 9 4 2 ,0 3 1 1 ,0 5 0 ,7 7 5 1.8X S 2 .3 3 13.8X 6 0 ,1 7 7 1 ,5 0 4 ,4 2 5 1.9X S 3 .3 4 19.7% 43.2X 6 8 ,7 8 8 1 ,7 1 9 ,7 0 0 1.4X S 3 .8 2 22.5X 14.3X GLADWIN 1 9 ,9 5 7 1 ,6 3 9 4 0 ,9 7 5 0.1X S 2 .0 5 23.3X 1 ,8 3 2 4 5 ,8 0 0 0.1X S 2 .2 9 2 6 .OX 11.8X 2 ,2 3 5 55 ,8 7 5 O.OX S 2 .8 0 31.8% 2 2 .OX EMMET GOGEBIC 1 9 ,6 8 6 GRO. TRV. 5 4 ,8 9 9 . 2 6 ,5 4 5 6 6 3 ,6 2 5 1.2X S 33.71 3 2 . 6X 1 6 ,2 5 0 4 0 6 ,2 5 0 0.5X S 2 0 .6 4 2 0 .OX * 3 8 .BX 2 4 ,8 3 3 6 2 0 ,8 2 5 0.5 X S 3 1 .5 4 30.5X 52.8X 5 5 ,1 1 2 1 ,3 7 7 ,8 0 0 2.4X S 2 5 .1 0 10.6X 113,8 3 3 2 ,8 4 5 ,8 2 5 3.6 X S 5 1 .8 4 21.9% 106.5X 2 6 4 ,7 2 7 6 ,6 1 8 ,1 7 5 5.5X S120.55 51 .OX 132.6% COUNTY POPULATION HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL MOTEL USE TAX USE PER SALES PERCENT YEAR HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL Q1toQ2 USE TAX USE TAX YEAR 1 7 . IX 3 ,5 2 3 88, o a 0 .1X $ 2 .1 8 ii.a 2,6 7 1 0.1X SI .5 9 23.5X 3 ,2 4 8 8 1 ,2 0 0 0.1X $ 1 .9 3 9 ,3 5 4 a 3 ,8 5 0 0.4X S 6 .1 7 1 4 .7X 14,355 0.5X $ 9 .4 8 42,071 HOUGHTON 3 7 ,0 7 2 PERCENT OF TOTAL CAPITA OF TOTAL Q2toQ3 USE YEAR 1 5 ,1 3 4 3 7 8 ,3 5 0 0.3 X $ 9 .3 5 47.4X 21.6% 3 ,4 8 0 8 7 ,0 0 0 0.1 X $ 2 .0 7 30.6% 7 . IX 22.5X S3.5X 2 8 ,1 4 5 7 0 3 ,6 2 5 0.6 X $ 1 6 .5 8 U .1 X 9 6 . IX 3 0 ,4 5 1 7 6 1 ,2 a 9 6 4 ,8 0 0 O . a $20.88 O . a $3.50 O . a $4.80 O . a $38.03 61.3% 3 8 ,5 9 2 3 6 ,4 5 9 2 ,0 5 4 5 1 ,3 5 0 0.1X SI .41 1 1 ,5 3 7 0 .4X $ 7 .9 1 a .a 2 7 5 ,5 2 0 2 7 ,9 0 8 6 9 7 ,7 0 0 1.2X S 2 .5 3 2 1.a 3 3 ,3 2 2 8 3 3 ,0 5 0 1.1X $ 3 .0 2 2S.4X u i.a 19.4X 5 1 ,8 1 5 6 ,2 3 5 i 5 5 .a a 0.3X S 3.01 17.1X 1 0,1 3 4 2 5 3 ,3 5 0 0.3X $ 4 .8 9 27.8X 62.5% 9 .9 U 2 4 8 ,6 5 0 IOSCO 2 8 ,3 4 9 5 ,9 5 8 148,950 0.3X S S.25 7.4X 1 8 ,U 5 U 1 .1 2 5 0.6X $ 1 6 .2 7 22.9X 209.6X 43, i a 132.5% 115,105 3 2 .a 2 7 ,6 7 0 1 ,0 7 8 ,0 a 2 ,8 7 7 ,6 a 691,a o 329.6% 1 6 3 .a is .a 27.3% - i.a 53.6X i 3 3 . a 8 9 .a 1791. a 3 2 . IX a .6 x 29.4X 0.1X S 4 .6 0 2 . OX 6 ,0 8 7 1 5 2 ,ia o . a $ 1 1 .1 6 0.7X S 7 .6 5 19.2X 2 1 ,8 6 2 5 U .5 5 0 0.7X $10.10 4 .a a .3 x 8 0 1 ,9 0 0 1.4X $ 5 .2 9 19.7X 4 6 ,1 7 3 1 ,1 5 4 ,3 a 1.SX $ 7 .6 2 28.4X 4 3 .a 4 8 ,1 2 2 1 ,2 0 3 ,0 5 0 726, i a 1.3X S 3 .4 2 19.3X 3 8 ,0 9 8 9 5 2 ,4 5 0 i.a $ 4 .4 8 25.4X 31 . a 4 S .1 7 8 1 ,1 2 9 ,4 5 0 1 .a O .a $7.94 $5.32 0.1X $ 1 0 .3 7 30.9% 30.4X 4 ,3 3 7 1 0 8 ,4 a 0 .1 X $ 9 .9 0 29.5X -4 .5 X 4 .a a .4 x 16.1% 194,3 6 4 4 ,8 5 9 ,1 0 0 4 . a $10.93 30.4X 2 9 .a IRON 13,6 3 5 2 ,6 1 8 ISABELLA 5 4 ,1 1 0 1 6 ,5 6 7 414, i a JACKSON 151,495 3 2 ,0 7 6 KALAMAZOO 2 1 2 ,3 7 8 2 9 ,0 4 7 KENT CHANGE 28.6X IONIA KALKASKA SALES PERCENT -3S.5X 3 5 8 ,8 a 2 8 8 ,4 a 4 . IX PER 1 9 8 3 (3 ) $ 3 .3 8 HILLSDALE SALES REVENUES USE TAX 1 9 8 3 (2 ) 0.2X 5 ,4 6 3 HOTEL/ MOTEL TAX 1 3 6 ,5 a 6 6 ,7 a 4 0 .U B INGHAM SALES PERCENT CHANGE TAX 19 8 3 (1 ) GftATOlT HURON PER 6 5 ,4 5 0 10,9 5 2 3 .4 8 S 8 7 ,1 2 5 0.2X S 7 .9 6 23.7X 4 ,5 4 3 1 1 3 ,5 a 4 U .5 0 6 128,951 3 ,2 a ,7 a 5.7X $ 7 .2 5 20.2X 149 ,7 0 8 3 ,7 4 2 ,7 0 0 $ 8 .4 2 2.4X $211.05 0 .6 X $ 1 2 .7 8 29.6X 4 .a 3 0 . IX 18.6X KEUEENAU 1 ,9 6 3 262 6 ,5 5 0 O.OX S 3 .3 4 1.0X 1 ,9 8 7 7.6X 658.4X 2 0 ,9 1 9 5 2 2 ,9 a 0 .4X $266.42 s o .a 952.8% 7 ,711 1 ,0 1 8 2 5 ,4 5 0 O.OX S 3 .3 0 2 . IX 7 ,991 4 9 ,6 a 1 9 9 .7 a 0.1X $ 2 5 .3 1 LAKE 0 .3X $ 2 5 .9 1 16.8% 6 8 5 .a 3 0 ,6 7 2 7 6 6 ,8 0 0 0.6 X S 9 9 .U 64.6X 2 8 3 .a LAPEER 7 0 ,0 3 8 4 ,9 9 0 1 2 4 ,a 0 0.2X s i.a 14.2X i 2, a o 3 1 8 ,2 5 0 0.4X $ 4 .5 4 36.3X 1 5 5 .IX 2 ,4 1 5 LEELANAU 1 4 ,0 0 7 1 5,425 3 8 5,625 0.7X $ 2 7 .5 3 ii.a 16,451 0 .5X $ 2 9 .3 6 ii.a 9 0 ,0 7 9 0.1X $ 1 .1 3 22.4% 6 .a 4 i.a 6 ,7 6 7 6 0 ,3 a 2 ,a i,9 a 169, i a o .a $0.22 3 8 . IX 169.3X 806 2 0 ,1 5 0 0.1X $ 1 0 .5 5 151.6% 7 ,9 0 5 s iB .a 28. a io i.a 7 7 .a io o .a 8 9 ,9 4 8 2 ,8 5 9 $ 0 .7 9 1S.8X 4 ,0 5 0 1 0 0,289 3a 7 1 ,4 a a .o a 0.1X LIV. O.OX SO.08 1 4 .IX 870 4 1 1 ,2 a lo t,a o 2i , a o LUCE 6 ,6 S 9 1 ,1 1 7 2 7 ,9 2 5 O.OX S 4 .1 9 8.3 X 2 ,8 1 0 7 0 ,2 5 0 3.2X LENAWEE 3.5X 5 4 ,6 a 1 ,3 6 6 ,6 a 1.7X S134.30 20. a 21.a $ 2 .6 2 2 1 . 5X 9 3 ,7 9 3 2 ,3 U ,8 2 S 3 .a 27 . a 2 4 6 ,8 5 0 0.4X $ 1 0 .7 2 1 1 .7X 1 9 ,9 1 8 4 9 7 ,9 5 0 0.6X $ 2 1 .6 3 23.6% 0.5X $ 3 .8 8 1 3 .a 2 0 ,3 6 2 5 0 9 ,OSO 0.6X $ 6 .8 7 2 4 .a 0.4X S 8 .6 8 1 0 .OX 1 8 ,3 6 8 4 5 9 ,2 0 0 O .a $17.42 21.6% 1 0,1 7 8 8 ,8 4 4 6 9 4 ,6 0 0 72,851 221,100 1, 821, 2a MANISTEE 2 3 ,0 1 9 9 ,8 7 4 MARQUETTE 74,101 11,491 MASON 2 6 ,3 6 5 9,1 5 1 MACKINAC MACOMB 0.4X $ 2 1 .7 2 $ 3 .3 8 6 .a -81 . a 1.9X $160.77 65 .4 X U 7 .6 X 0.1 X 67.1% O .a $0.86 $ 1 .8 8 37 .5 X 3S.3X -7 .4 X 197,625 o . a $0.20 o . a $29.68 58.6X 181.3% ia ,7 4 1 4 ,3 4 3 ,5 2 5 3.6X $ 4 2 6 .7 6 6 9 .a 217.8X 8 9 ,9 1 0 - 4 . IX u .a 98.4X 4 5 ,6 8 6 1 ,1 4 2 ,1 5 0 i . a $3.24 O . a $42.93 o . a $11.24 O . a $43.32 0.5 X $ 1 5 .a 26.6% 3 3 ,3 3 0 2 ,2 4 7 ,a 0 988,1 a 833, a o 3 9 ,5 2 7 MECOSTA 3 6 ,961 9 ,6 8 5 2 8 7 ,2 a 2 2 8 ,7 a 242, i a 0.4X $ 6 .5 5 1 5 .6X 1 2 .5 U 3 1 3 ,6 5 0 0.4X $ 8 .4 9 2o . a 29.5X 2 2 ,5 2 4 5 6 3 ,1 0 0 MENOMINEE 2 6 ,201 7 ,0 4 2 1 7 6 ,050 0.3X $ 6 .7 2 3 3 .6X 3 ,5 2 4 8 8 ,1 0 0 0 .1X $ 3 .3 6 16.8% - s o .a 6 ,9 1 3 MIDLAND 7 3 ,5 7 8 27.581 6 8 9 ,5 2 5 1.2X $ 9 .3 7 2 0 . IX 3 2 ,6 3 7 8 2 0 ,9 a i . a $ ii.i6 2 3 .a 1 9 . IX 4 5 ,a s 172, s a 1 ,1 3 0 ,8 a 0.1 X $ 6 .6 0 O . a $15.37 40.4X 6 3 .a 53.a u s .a 3 6 .a 3 3 .a 3 2 .a 79.5X 9 6 .a 3 7 .a COUNTY POPULATION HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL MOTEL USE TAX USE PER SALES PERCENT YEAR HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 01toQ 2 USE TAX USE TAX MONROE MONTCALM SALES PERCENT CHANGE YEAR HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q2toQ3 USE TAX USE TAX 19 8 3 (1 ) MISSAUKEE PER PER SALES PERCENT CHANGE YEAR TAX 1 9 8 3 (2 ) 1 9 8 3 (3 ) 1 0 .0 0 9 581 14,525 O.OX S I . 45 12.0X 1 ,301 3 2 ,5 2 5 O.OX S 3 .2 5 26.8X 123.9X 1 ,9 8 4 4 9 ,6 0 0 O.OX S 4 .9 6 40.9X 1 3 4 ,6 5 9 9 ,2 9 2 2 3 2 ,3 0 0 0.4X S I . 73 1B.6X 1 4 ,7 3 0 3 6 8 ,2 5 0 0.5X * 2 .7 3 29.5X 58.5X 1 5 ,4 6 3 3 8 6 ,5 7 5 O.SX S 2 .8 7 3 1 .OX 4 7 ,5 5 5 1 ,0 7 7 2 6 ,925 O.OX SO.57 1 4 .OX 2 ,2 1 4 5 5 ,3 5 0 0.1X $ 1 .1 6 28.8X 105.6X 3 ,2 5 7 6 1 ,4 2 5 0 .1 X S I . 71 42.3X 4 7 . IX 1 0 4 .IX 52.5X 5 . OX 7 ,4 9 2 2 ,2 0 2 5 5 ,0 5 0 0.1X S 7 .3 5 12.5X 3 ,9 6 9 9 9 ,2 2 5 0.1X $ 1 3 .2 4 22.4X 80.2X 8 ,1 0 1 2 0 2 ,5 2 5 0 .2 X $ 2 7 .0 3 45.8X MUSKEGON 15 7 ,5 8 9 17,111 4 2 7,775 0.6X S 2 .7 1 1 7 .OX 3 2 ,8 8 9 8 2 2 ,2 2 5 1.0X S S .2 2 32.6X 92.2X 3 6 ,3 8 0 9 0 9 ,5 0 0 O.SX S S .7 7 3 6 . IX 10.6X NEUAYGO 3 4 ,9 1 7 529 13,225 O.OX SO .38 5 . OX 710 1 7 ,7 5 0 O.OX SO .51 6.7 X 34.2X 1 ,9 9 8 4 9 ,9 5 0 O.OX S I .4 3 18.8X 181.4X OAKLAND 1 3 .2X $ 1 0 .2 1 MONT. 1 ,0 1 1 ,7 9 3 3 2 2 ,2 3 4 8 ,0 5 5 ,8 5 0 1 4 .IX S 7 .9 6 2 1 .4X OCEANA 2 2 ,0 0 2 836 2 0 ,9 0 0 O.OX SO.95 3 .9X OGEMAW 1 6 ,4 3 6 2 ,8 5 7 7 1 ,425 0.1X S 4 .3 5 18.6X 9 ,8 6 1 1 6 ,764 4 1 9 ,1 0 0 0.7X $ 4 2 .5 0 24.2X ONTONAGON 4 1 3 ,2 7 5 1 0 ,3 3 1 ,8 7 5 27.5X 28.3X 4 3 8 ,1 4 4 1 0 ,9 5 3 ,6 0 0 9 . IX $ 1 0 .8 3 2 9 . IX 6 . OX 8 4 ,4 7 5 0.1X $ 3 .8 4 15.6X 304.2X 1 6 ,3 1 7 4 0 7 ,9 2 5 O.SX $ 1 8 .5 4 75.2X 382.9X 3 ,4 5 4 8 6 ,3 5 0 0.1X S 5 .2 5 22.5X 20.9X 5 ,9 5 1 148,775 0.1 X $ 9 .0 5 38.7X 72.3X 1 5 ,9 5 2 3 9 8 ,8 0 0 0.5X $ 4 0 .4 4 2 3 . IX -4 .8 X 2 2 ,6 8 5 5 6 7 ,1 2 5 O.SX $ 5 7 .5 1 32.8X 42.2X 3 .3 7 9 OSCEOLA 1 8 .9 2 8 574 14,3 5 0 O.OX $ 0 .7 6 19.6X 659 16,4 7 5 O.OX SO.8 7 22.6X 14.8X 997 2 4 ,9 2 5 O.OX $ 1 .3 2 3 4 . IX 51.3X OSCOOA 6 ,8 5 8 1.204 3 0 ,1 0 0 0.1X S 4 .3 9 13.5X 2 ,3 4 7 5 8 ,6 7 5 0 .1 X $ 8 .5 6 26.4X 94.9X 3 ,2 6 7 8 1 ,6 7 5 0 .1 X $ 1 1.91 36.8X 39.2X OTSEGO 14,9 9 3 2 6 ,1 1 2 6 5 2 ,8 0 0 1.1X $ 4 3 .5 4 1 6 .2X 3 0 .0 7 2 7 5 1 ,8 0 0 1.0X $ 5 0 .1 4 18.7X 15.2X 6 7 ,7 9 9 1 ,6 9 4 ,9 7 5 1.4X S113.05 42.2X 125.5X OTTAWA 157,174 5 ,7 0 2 142,550 0.3X SO.91 5 . IX 9 ,2 2 8 2 3 0 ,7 0 0 0.3X SI .4 7 8.2X 61 .BX 7 2 ,9 4 3 1 ,6 2 3 ,5 7 5 1.5X $ 1 1 .6 0 6 5 . IX 690.5X O.OX 738 1 8 ,4 5 0 O.OX $ 1 .2 9 12.6X 5 6 .OX 0 .1 X 389.7X PRES. IS . 1 4 ,2 6 7 473 11,825 ROSCOWWN 16,374 2 4 ,2 7 7 6 0 6,925 SO.83 8 . IX 1 . U $ 3 7 .0 7 16.9X 3 ,6 1 4 9 0 ,3 5 0 $ 6 .3 3 6 1 .5X 8 9 ,6 2 4 2 ,2 4 0 ,6 0 0 1.9X S136.84 62.4X SAGINAW 2 2 8 ,0 5 9 2 9 ,6 5 3 741,325 1.3X S 3 .2 5 12.6X 5 1 ,1 7 9 1 ,2 7 9 ,4 7 5 1.6X $ 5 .6 1 21.8X 72.6X 8 2 ,3 0 6 2 ,0 5 7 ,6 5 0 1.7X $ 9 .0 2 3 5 . IX 60.6X ST. CLAIR 1 3 8 ,802 2 1 ,2 0 4 5 3 0 ,1 0 0 0.9X $ 3 .8 2 16.5X 3 2 ,7 8 4 8 1 9 ,6 0 0 1.0X $ 5 .9 0 25.5X 5 4 .6X 4 6 ,0 2 9 1 ,1 5 0 ,7 2 5 1.0X $ 8 .2 9 35.8X 40.4X ST.JOSEPH 5 6 ,0 8 3 3 ,6 8 8 9 2 ,2 0 0 0.2X S I .64 7.6X 15,7 5 8 3 9 3 ,9 5 0 O.SX $ 7 .0 2 32.5X 327.3X 1 9 ,3 1 6 4 8 2 ,9 0 0 0.4 X $ 8 .6 1 39.9X 22.6X SANILAC 4 0 ,7 8 9 1,603 4 0 ,0 7 5 0.1X SO.98 12.2X 3 ,1 5 4 7 8 ,8 5 0 0 .1X $ 1 .9 3 2 4 .IX 96.8X 5 ,8 3 1 145,775 0.1 X $ 3 .5 7 44.5X 84.9X SCHCFT. 8 ,5 7 5 1,551 3 8 ,7 7 5 0.1X S 4 .S 2 2 . 8X 5 ,8 4 3 1 46,075 0 .2X $ 1 7 .0 3 10.6X 276.7X 3 7 ,0 1 1 9 2 5 ,2 7 5 0 .8 U 1 0 7 .9 0 66.9X 533.4X SHIAWASSE 7 1 ,1 4 0 7 ,1 0 3 177,575 0.3X S 2 .5 0 23.7X 9 ,2 7 9 2 3 1 ,9 7 5 0 .3X S 3 .2 6 3 1 .OX 30.6X 7 ,6 6 8 196,7 0 0 0.2 X $ 2 .7 6 26.3X -1 5 .2 X TUSCOLA 5 6 ,961 4 ,2 5 4 106,350 0.2X S I . 87 24.8X 3 ,6 7 9 9 1 ,9 7 5 0.1X $ 1 .6 1 2 1 .4X -13.5X 5 ,0 6 5 126,625 0.1 X $ 2 .2 2 29.5X 37.7X VAN SUREN 6 6 ,8 1 4 569 14,225 O.OX $ 0 .2 1 1.0X 1 2,0 1 3 3 0 0 ,3 2 5 0.4X * 4 .4 9 2 1 .BX 2011.2X 3 6 ,7 1 3 9 1 7 ,8 2 5 O.SX $ 1 3 .7 4 66 .6 X 2 0 5 .6X 4 5 ,5 6 2 1 ,1 3 9 ,0 5 0 7 5 ,7 4 4 1 ,8 9 3 ,6 0 0 2.4X $ 7 .1 5 26.9X 66.2X 8 8 ,8 8 3 2 ,2 2 2 ,0 7 5 1.8X $ 8 .3 9 3 1 .6X 17.3X 5 3 3 ,1 1 2 1 3 ,3 2 7 ,8 0 0 17.0X $ 5 .7 0 26.5X 2 5 .6X 554,381 1 3 ,8 5 9 ,5 2 5 11.5X $ 5 .9 3 27.5X 4 . OX 0.3X * 1 0 .1 5 19.2X •4 .4 X 2 0 ,3 5 8 5 0 8 ,9 5 0 0.4 X $ 2 0 .2 8 38.4X 99.8X 2S.4X 22.4X 6 2 1 ,2 5 0 1 5 ,5 3 1 ,2 5 0 27.4X 8 . OX WASHTENAW WAYNE WEXFORD OUT/STATE 2 6 4 ,7 4 8 2 ,3 3 7 ,8 9 1 2 5 ,1 0 2 4 2 4 ,4 0 8 1 0 ,6 1 0 ,2 0 0 1 0 ,6 5 3 266,325 4 6 9 ,8 1 0 1 1 ,7 4 5 ,2 5 0 2 . OX S 4 .3 0 16.2X * 4 .5 4 2 1 . IX 0.5X $ 1 0 .6 1 2 0 . IX 1B.6X 20.6X 20.7X 1 0 ,1 8 8 2 5 4 ,7 0 0 5 7 5 ,1 1 8 1 4 ,3 7 7 ,9 5 0 18.3X 12.8X COUNTY POPULATION HOTEL/ SALES PERCENT HOTEL REVENUES OF TOTAL CAPITA OF TOTAL HOTEL USE TAX USE PER SALES PERCENT TEAR HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 0 1 tc 0 2 USE TAX TAX 111,591 2 1 ,7 9 9 TEAR 5 4 4 ,9 8 6 HOTEL/ SALES PERCENT HOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q2toQ3 USE TAX USE 100.0X 1 7 .3 X 3 ,1 3 4 ,7 4 8 7 8 ,3 6 8 ,7 0 0 S 4 .8 8 3 0 ,8 3 9 PER SALES PERCENT CHANGE YEAR TAX 1 9 8 3 (2 ) 9 ,2 6 2 ,0 7 8 2 ,2 7 9 ,1 6 6 3 6 ,9 7 9 ,1 0 0 COUNTY AV SALES PERCENT CHANGE TAX 198 3 (1 ) TOTAL USE PER 1 9 8 3 (3 ) 100.0X 2 3 .8 X S 6 .9 1 3 7 .5 X 4 ,8 3 6 ,0 1 3 1 2 0 ,9 0 0 ,3 2 5 5 0 ,7 8 0 1 ,2 6 9 ,5 0 7 100.0X 36 .6 X S 1 1 .3 8 S4.3X ^ •OUT/STATE F ig u r e s Not I n c lu d e d I n A v e rs g e s oi •ERR I n d i c a t e s D iv is io n b y Z e ro ^ COUNTY HOTEL/ BALES PERCENT TOTAL TOTAL HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q3toQ4 USE SALES HOTEL REVENUES OF TOTAL CAPITA OF TOTAL 83 (1 )T0 MOTEL USE TAX REVENUES 1983 1983 USE TAX PER SALES PERCENT CHANGE YEAR TAX 198 3 (4 ) USE TAX PER SALES USE YEAR CHANGE 8 4 (1 ) HOTEL/ PERCENT REVENUES OF TOTAL USE TAX USE TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) 2 ,4 0 9 6 0 ,2 2 5 S 6 .1 8 1 5 .6X -7 7 .4 X 1 5 ,4 0 7 3 8 5 ,1 7 5 698 1 7 ,4 5 0 ALGER 1 0 ,0 3 7 2 5 0,925 0.3X $ 2 7 .2 0 17.2X -6 6 .6 X 5 8 ,3 0 2 1 ,4 5 7 ,5 5 0 6 ,1 5 8 2 0 3 ,9 5 0 O.SX $2 2 .1 1 9 ,7 9 4 2 4 4 ,8 5 0 0.3X S 3 .0 0 10.7X -7 7 .8 X 9 1 ,3 2 7 2 ,2 8 3 ,1 7 5 7 ,6 9 5 192,375 0.3X $ 2 .3 6 0.1X BALES TAX ALCONA ALLEGAN PERCENT O.OX $ 1 .7 9 1 ,3 9 0 3 4 ,7 5 0 13.4X 4.7X 2226.7X 4.9 X 1 1 ,5 2 8 2 8 8 ,2 0 0 0.3X 8.1X - 2 5 . 4X 2 4 ,5 1 3 6 1 2 ,8 2 5 0.7X 0.3X O.OX ALPENA 8 ,2 3 6 2 0 5 ,9 0 0 0.3X S 6 .3 7 13.6X -7 4 .6 X 6 0 ,5 6 3 1 ,5 1 4 ,0 7 5 6 ,2 5 6 156,400 0.2X $ 4 .8 4 1 3 .IX -7 .3 X 9 ,3 5 2 2 3 3 ,8 0 0 ANTRIM 16,3 8 4 4 0 9 ,6 0 0 0.6X $ 2 5 .2 9 18.9X -6 2 .3 X 8 6 ,7 1 1 2 ,1 6 7 ,7 7 5 16,9 0 3 4 2 2 ,5 7 5 0.6X $ 2 6 .0 9 17.6X 482.5X 2 0 ,4 5 2 5 1 1 ,3 0 0 0.6X ARENAC 8 ,3 9 5 2 1 4,875 O.SX $ 1 4.61 22.2X - 5 7 . OX 3 8 ,7 6 6 9 6 9 ,1 5 0 2 ,1 0 0 5 2 ,5 0 0 -3 0 .6 X 7 ,0 1 6 1 7 5 ,4 0 0 0.2X BARAGA 1,6 2 3 4 0 ,5 7 5 0.1X $ 4 .7 8 21.6X -5 9 .4 X 7 ,5 1 7 187,925 1 ,0 8 2 BARRY 1,1 2 2 2 8 ,0 5 0 O.OX $ 0 .6 1 26.3X -4 5 .9 X 4 ,2 7 3 106,825 1 ,0 0 7 2 2 ,0 4 6 5 5 1 ,1 5 0 0.7X $ 4 .6 0 26.3X - 2 5 . 4X 8 3 ,9 0 5 2 ,0 9 7 ,6 2 5 18,7 4 0 3 ,3 1 0 1 3 2,750 0.2X $ 1 1 .8 5 1 5 .OX -7 6 .5 X 3 5 ,5 0 8 8 8 7 ,7 0 0 BAY BENZIE 0.1X $ 3 .5 7 7.3X 2 7 ,0 5 0 O.OX $ 3 .1 9 14.3X 115.5X 1,821 4 5 ,5 2 5 0.1X 2 5 ,1 7 5 O.OX $ 0 .5 5 17.9X 217.7X 1 ,1 1 3 27 .8 2 S O.OX 4 6 8 ,5 0 0 0.7X $ 3 .9 1 2 5 . IX 48.3X 2 6 ,2 0 5 6 5 5 ,1 2 5 0.7X 2 ,1 5 7 5 3 ,9 2 5 0.1X $ 4 .8 1 6.2 X - 2 1 .6X 5 ,6 6 4 1 4 1 ,6 0 0 0.2X BERRIEN 3 1 ,9 8 9 7 9 9,725 1 .IX $ 4 .6 7 18.7X - 5 4 . 2X 171,105 4 ,2 7 7 ,6 2 5 2 3 ,4 3 8 5 8 5 ,9 5 0 0.9X $ 3 .4 2 1 3 .IX • 8 . OX 5 1 .5 8 2 1 ,2 8 9 ,5 5 0 1.4X BRANCH 4 ,9 3 8 1 2 3,450 0.2X $ 3 .0 7 17.SX - 5 2 . IX 2 8 ,1 5 0 7 0 3 ,7 5 0 3 ,2 5 2 8 1 ,3 0 0 0.1X $ 2 .0 2 12.4X -1 3 .3 X 6 ,1 1 2 152,8 0 0 0.2 X CALHOUN 2 5 ,6 8 9 6 4 2,225 0.9X $ 4 .5 4 19.9X -3 7 .0 X 128,781 3 ,2 1 9 ,5 2 5 2 7 ,1 9 3 6 7 9 ,8 2 5 1.0X $ 4 .8 0 21.SX 13.4X 3 5 ,8 5 9 8 9 6 ,4 7 5 1.0X 5 ,4 1 0 135,250 0.2X $ 2 .7 3 20.9X -5 2 .9 X 2 5 ,8 4 1 6 4 6 ,0 2 5 797 19,925 O.OX $ 0 .4 0 9.7X •6 6 .9 X 2 ,0 5 8 5 1 ,4 5 0 0.1X 1.6X $53 .9 1 28.4X 10.9X 2 0 ,5 3 9 5 1 3 ,4 7 5 0.6X 5.8X -6 6 .9 X 9 ,6 7 3 2 4 1 ,8 2 5 0.3X CASS CHARLVX. 2 3 ,5 3 5 5B8.375 o.ex $ 2 9 .5 6 1 3 .7X - 7 0 . IX 171,654 4 ,2 9 1 ,3 5 0 4 2 ,9 2 5 1 ,0 7 3 ,1 2 5 CHEBOYGAN 11,3 5 3 283,825 0.4X $ 1 3 .7 5 1 1 .OX - 6 1 . IX 103 ,5 9 0 2 ,5 8 9 ,7 5 0 2 ,8 3 5 7 0 ,8 7 5 CHIPPEUA 13,213 3 3 0,325 0.4X $ 1 1 .3 8 12.6X -7 7 .9 X 1 0 5 ,0 1 8 2 ,6 2 5 ,4 5 0 7 ,7 8 5 194,625 O.SX $ 6 .7 0 8 . OX -2 3 .6 X 1 8 ,8 1 6 4 7 0 ,4 0 0 O.SX 5 ,6 9 0 1 4 2,250 0.2X $ 5 .9 7 20.2X - 4 8 . OX 2 8 ,2 3 2 705,8 0 0 4 ,0 2 8 100,700 0.1X $ 4 .2 3 1 4 .3X -9 .1 X 7 ,8 0 4 195,1 0 0 0.2X 0.1X 0.1X CLARE CLINTON 0.1X $ 3 .4 3 2 ,0 9 7 5 2 ,4 2 5 $ 0 .9 4 15.3X - 2 5 .5X 13,7 2 2 3 4 3 ,0 5 0 2 ,3 5 2 5 8 ,8 0 0 $ 1 .0 5 2 3 .OX 48.9X 2 ,8 5 4 7 1 ,3 5 0 0.1X CRAWFORD 2 2 ,0 7 5 55 1,875 0.7X $58 .3 1 18.3X - 5 4 . 2X 120,612 3 ,0 1 5 ,3 0 0 2 2 ,0 1 0 5 5 0 ,2 5 0 O.SX $ 5 8 .1 4 19.6X 16.3X 2 5 ,8 9 5 6 4 7 ,3 7 5 0.7X DELTA 20,081 5 0 2,025 0.7X $ 1 2 .8 9 20.3X -6 2 .4 X 9 8 ,8 2 6 2 ,4 7 0 ,6 5 0 10,795 269 ,8 7 5 0.4X $ 6 .9 3 14.5X 21.7X 18,515 4 6 2 ,8 7 5 0.5X DICXINSON 1 2 ,663 31 6,575 0.4X $ 1 2 .4 9 2 5 . IX - 3 1 .9X 5 0 ,4 1 4 1 ,2 6 0 ,3 5 0 9 ,7 6 6 2 4 4 ,1 5 0 0.4X $ 9 .6 3 1S.2X 5 . IX 1 1 ,4 5 7 2 8 6 ,4 2 5 O.SX 0.1X O.SX $ 6 .4 7 0.6X EATON 2 ,1 0 4 5 2 ,6 0 0 $ 0 .6 0 22.2X - 2 9 . OX 9 ,4 7 7 2 3 6 ,9 2 5 2 2 ,8 5 8 5 7 1 ,4 5 0 2 4 .9X 1029.9X 2 1 ,6 6 9 5 4 1 ,7 2 5 EMMET 4 9 ,7 1 7 1 ,2 4 2 ,9 2 5 1.7X $ 5 4 .0 6 1 3 .OX -7 8 .9 X 3 8 3 ,2 2 3 9 ,5 8 0 ,5 7 5 4 8 ,0 9 4 1 ,2 0 2 ,3 5 0 1.7X $ 5 2 .2 9 1 3 .6X 14.9X 5 4 ,3 8 0 1 ,3 5 9 ,5 0 0 1.SX 134,564 3 ,3 6 4 ,1 0 0 4.6X $ 7 .4 7 4 4 .OX 9S.6X 3 0 5 ,5 6 0 7 ,6 3 9 ,0 0 0 4 8 ,9 6 5 1 ,2 2 4 ,1 2 5 1.8X $ 2 .7 2 19.3X 16.SX 6 4 ,4 5 9 1 ,6 1 1 ,4 7 5 1.8X O.OX 0.1X GENESSE GLADWIN 1 ,3 2 9 3 3 ,2 2 5 $ 1 .6 6 18.9X -40.SX 7 ,0 3 5 175,875 1 ,6 8 6 4 2 ,1 5 0 $ 2 .1 1 2 2 . IX 2.9X 1 ,9 1 8 4 7 ,9 5 0 0.1X GOGEBIC 1 3 ,769 3 4 4 ,2 2 5 0.5X $ 1 7 .4 9 16.9X -4 4 .6 X 8 1 ,3 9 7 2 ,0 3 4 ,9 2 5 3 0 ,8 3 7 770 ,9 2 5 1.1X $ 3 9 .1 6 37.6X 16.2X 1 2 ,3 8 6 3 0 9 ,6 5 0 O.SX GRD. TRV. 8 5 ,4 4 8 2 ,1 3 6 ,2 0 0 2.9X $38 .9 1 16.5X - 6 7 . 7X 5 1 9 ,1 2 0 1 2 ,9 7 8 ,0 0 0 9 1 ,7 9 2 2 ,2 9 4 ,8 0 0 3.3X $ 4 1 .8 0 12.6X 66.6X 167,671 4 ,1 9 1 ,7 7 5 4.7X COUNTY HOTEL/ SALES PERCENT TOTAL . TOTAL HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q 3to04 USE SALES MOTEL REVENUES OF rOTAL CAPITA OF TOTAL 8 3 (1 )T0 MOTEL USE TAX REVENUES 1983 1983 USE TAX PER SALES PERCENT CHANGE YEAR TAX USE TAX USE PER SALES PERCENT YEAR CHANGE 8 4 (1 ) HOTEL/ SALES PERCENT REVENUES OF TOTAL USE TAX USE TAX 1983(A ) TAX 19 8 4 (1 ) 1 9 8 4 (2 ) GRATOIT 7 ,7 8 8 1 9 4,700 0.3X S 4.81 24.4X -46.5% 3 1 ,9 0 8 7 9 7 ,7 0 0 6 ,5 7 9 164,4 7 5 0.2X S 4 .0 7 19.4X 20.4X 8 ,5 4 2 2 1 3 ,5 5 0 NILLSOALE 1 ,9 5 7 4 8 ,9 2 5 O .U S I . 16 17.2% -4 3 .8 X 1 1 ,3 5 6 2 8 3 ,9 0 0 1 ,4 3 6 3 5 ,9 0 0 0.1 X S 0 .8 S 10.7% -46.2% 3 ,8 3 6 9 5 ,9 0 0 0.1X HOUGHTON 1 1 ,9 8 2 2 9 9 ,5 5 0 0.4X S7.91 18.8X -57.4% 6 3 ,8 3 6 1 ,5 9 5 ,9 0 0 9 ,5 3 7 2 3 8 ,4 2 5 0.3X S 6 .3 0 13.SX 2 . OX 1 5 ,0 9 7 3 7 7 ,4 2 5 0.4X 0.2X HURON 0.2X 5 ,6 3 1 1*0,775 0.2X S 3 .6 6 11.3X - 8 1 . 5X 4 9 ,6 7 3 1 ,2 4 1 ,8 2 5 2 ,8 5 0 7 1 ,2 5 0 0.1X S I .9 5 8.6% 38.8X 8 ,4 0 4 2 1 0 ,1 0 0 INGHAM 3 1 ,5 9 3 7 8 9 ,8 2 5 1 .IX S 2 .8 7 2 4 .OX • 1 8 . IX 131 ,4 1 5 3 ,2 8 5 ,3 7 5 2 9 ,9 0 6 7 4 7 ,6 5 0 1.1X S2.71 2 3 .OX 7.2% 3 4 ,4 4 0 8 6 1 ,0 0 0 1.0X IONIA 1 0 ,1 1 7 25 2 ,9 2 5 0.3X S 4 .8 8 2 7 .BX 1.7X 3 6 ,4 3 2 9 1 0 ,8 0 0 2 ,5 0 4 6 2 ,6 0 0 0.1X S I . 21 15.9X -5 9 .6 X 4 ,9 2 2 123 ,0 5 0 0.1 X IOSCO 12,9 6 2 3 2 4 ,0 5 0 0.4X S I 1 .4 3 IRON * ,1 7 0 1 0 4,250 0.1X 1 6 .IX -69.9% 8 0 ,4 8 8 2 ,0 1 2 ,2 0 0 7 ,1 2 7 178,175 0.3X S 6 .2 9 8 .9 X 19.6X 15,3 1 3 382 ,8 2 5 0.4X S7.65 3.3X -96.4% 1 2 7 ,9 8 0 3 .1 9 9 ,5 0 0 2 ,4 1 1 6 0 ,2 7 5 0.1X $ 4 .4 2 1 4 .OX -7 .9 X 4 ,2 4 0 106,000 0.1X ISABELLA 2 0 ,1 * 7 5 0 3 ,6 7 5 0.7X S9.31 23.4X -2 7 .2 X 8 6 ,2 4 6 2 ,1 5 6 ,1 5 0 2 1 ,3 5 0 5 3 3 ,7 5 0 o.ex S 9 .8 6 22.3X 28.9X 2 5 ,4 6 0 6 3 6 ,5 0 0 0.7X JACKSON 3 6 ,1 0 * 9 0 2 ,6 0 0 1.2X S 5 .9 6 22.2% -25.0% 162,475 4 ,0 6 1 ,8 7 5 34,7 3 1 8 6 8 ,2 7 5 1.3X S 5 .7 3 2 0 .OX B.3X * 5 ,9 7 3 1 ,1 4 9 ,3 2 5 1.3X KALAMAZOO 3 7 ,9 4 6 9 4 8 ,6 5 0 1.3X S 4 .4 7 25.3X -16.0% 150 ,2 6 9 3 ,7 5 6 ,7 2 5 3 6 ,9 2 2 9 2 3 ,0 5 0 1.3X * 4 .3 5 17.5X 2 7 . IX 6 7 ,0 7 9 1 ,6 7 6 ,9 7 5 1.9X 2 ,3 5 6 5 8 ,9 0 0 0.1X S S .38 1 6 .OX -4 5 .7 X 14,721 3 6 8 ,0 2 5 2 ,8 0 7 7 0 ,1 7 5 0.1X S6.41 15.8X -1 9 .5 X 3 ,7 6 1 9 4 ,0 2 5 0.1X 5.6X 6.3X KALKASKA KENT 1 6 6 ,519 4 ,1 6 2 ,9 7 5 S 9 .3 7 2 6 .OX -14.3% 6 3 9 ,5 4 2 1 5 ,9 8 8 ,5 5 0 165,9 2 2 4 ,1 4 8 ,0 5 0 6.0X S 9 .3 3 20.7% 28.7% 2 2 2 ,8 7 3 5 ,5 7 1 ,8 2 5 KEUEENAU 2 ,9 1 5 7 2 ,8 7 5 0.1X S 3 7 .1 2 11.2X -B 6.1X 2 6 ,0 8 3 6 5 2 ,0 7 5 484 1 2 ,1 0 0 O.OX S 6 .1 6 4 . OX 84.7X 1 ,2 4 8 3 1 ,2 0 0 O.OX LAKE 7 ,7 9 8 1 9 4,950 0.3X S 2 5 .2 8 16.4X -7 4 .6 X * 7 ,4 7 9 1 ,1 8 6 ,9 7 5 2 ,1 3 1 5 3 ,2 7 5 0.1X S6.91 16.5X 109.3X 2 ,4 8 6 6 2 ,1 5 0 0.1X LAPEER 14,9 5 3 3 7 3 ,8 2 5 O.SX S5.34 42.6X 519.2% 3 5 ,0 8 8 8 7 7 ,2 0 0 1 ,6 0 0 4 0 ,0 0 0 0.1X SO .5 7 17.6% -67.9% 2 ,2 0 1 5 5 ,0 2 5 O .U LEELANAU 1 5 ,7 6 7 3 9 4 ,1 7 5 0.5X S 28.14 11.4% -82.5% 137,722 3 ,4 4 3 ,0 5 0 17,09* * 2 7 ,3 5 0 0.6X S 30.51 9 .7 X 10.8X 2 0 ,5 1 3 5 1 2 ,8 2 5 0.6X 4 ,3 8 1 109,525 0.1X S I . 22 2 4 .3X - 3 5 . 3X 1 8 ,0 5 7 4 5 1 ,4 2 5 4 ,3 4 3 108,575 0.2X S I . 21 16.7X 51.9% 7 ,1 9 9 179,975 0.2X 266 7 ,1 5 0 O.OX SO.07 12.5% -64.5% 2 ,2 8 5 5 7 ,1 2 5 338 8 ,4 5 0 O.OX SO.08 9.3 X 4.6 X 551 13,775 O.OX 0.1X S 6 .1 8 12.2% -7 9 .2 X 1 3 ,4 7 9 3 3 6 ,9 7 5 589 14,725 O.OX 0.1% 0.5X S 3 5 .7 7 5 .6 X - 9 1 . 6X 251,821 6 ,2 9 5 ,5 2 5 1 8 ,8 7 8 * 7 1 ,9 5 0 2 4 . IX -9 .2 X 3 3 8 ,2 1 2 8 ,4 5 5 ,3 0 0 8 9 ,3 3 3 2 ,2 3 3 ,3 2 5 LENAWEE LIV. 1 ,6 * 7 * 1 ,1 7 5 MACKINAC 14,561 3 6 4 ,0 2 5 MACOMB 6 1 ,6 5 8 2 ,0 4 1 ,4 5 0 LUCE 2.8X S 2 .9 4 S2.21 4.6 X -4 7 .3 X 2 .9 7 4 7 4 ,3 5 0 0.7X S 4 6 .3 7 7 . IX 113.5% 5 5 ,6 0 0 1 ,3 9 0 ,0 0 0 1.6X S 3 .2 2 30.7X 22.6X 103 .8 9 3 2 ,5 9 7 ,3 2 5 2.9X 3.2X MANISTEE 1 4 ,9 1 8 3 7 2 ,9 5 0 0.5X S 1 6 .2 0 17.7X -6 2 .3 X 8 4 ,2 3 7 2 ,1 0 5 ,9 2 5 1 0 ,839 270,9 7 5 0.4X $ 1 1 .7 7 12.3% 9.8 X 15,3 9 2 3 8 4 ,8 0 0 0.4X MARQUETTE 17,252 4 3 1 ,3 0 0 0.6X $ 5 .8 2 20.9% -48.2% 8 2 ,4 3 5 2 ,0 6 0 ,8 7 5 22,361 559,0 2 5 O.SX $ 7 .5 4 23.3% 94.6X 1 9 ,3 4 9 483,7 2 5 O.SX MASON 1 1 ,6 4 9 2 9 1 ,2 2 5 0.4X * 1 1.05 13.7X -7 4 .5 X 8 4 ,8 5 4 2 ,1 2 1 ,3 5 0 4 ,1 0 9 102,725 0.1X S 3 .9 0 5.9X - 5 5 . IX 12,3 1 3 3 0 7 ,8 2 5 0.3X MECOSTA 1 7 ,4 7 9 4 3 6 ,9 7 5 O.OX S 11.82 2 8 . IX -2 2 .4 X 6 2 ,2 3 4 1 ,5 5 5 ,8 5 0 9 ,3 4 2 2 3 3 ,5 5 0 0.3X $ 6 .3 2 26.2X -3 .5 X 8 ,5 7 2 2 1 4 ,3 0 0 0.2X 3,4 8 1 8 7 ,0 2 5 0.1X S 3 .3 2 16.6X -4 9 .6 X 2 0 ,9 6 0 5 2 4 ,0 0 0 196 4 ,9 0 0 O.OX SO .19 2.9X -97.2% 405 10,1 2 5 O.OX 3 1 ,8 1 4 7 9 5 ,3 5 0 1.1X S10.81 2 3 . IX -2 9 .7 X 1 3 7 ,4 6 7 3 ,4 3 6 ,6 7 5 30,0 1 1 7 5 0 ,2 7 5 1.1X S 1 0 .2 0 2 3 . IX 8.8 X 3 5 ,7 0 7 8 9 2 ,6 7 5 1.0X MENOMINEE MIDLANO COUNTY HOTEL/ SALES PERCENT HOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q3toQ4 USE TAX PER SALES USE PERCENT CHANGE YEAR TAX TOTAL TOTAL HOTEL/ SALES PERCENT USE SALES MOTEL REVENUES OF TOTAL CAPITA O f TOTAL 8 3 ( 1 )T0 HOTEL TAX REVENUES 1983 1983 MISSAUKEE MONTCALM MONT. MUSKEGON 989 SALES USE PERCENT YEAR CHANGE 8 4 (1 ) HOTEL/ SALES PERCENT REVENUES OF TOTAL USE TAX USE TAX 19 8 3 (4 ) HONROE USE TAX PER TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) 2 4 ,7 2 5 2 6 1 ,7 5 0 O.OX -5 0 .2 X 4 ,8 5 5 121,3 7 5 4 1 .5X 1 ,3 0 9 3 2 ,7 2 5 -3 2 .3 X 4 9 ,9 5 5 1 ,2 4 8 ,8 7 5 6 1 4 ,4 2 5 O.OX 0.9 X 5 . OX 21 .OX 822 2 4 ,5 7 7 S 2 .0 5 0.4X S 2 .4 7 S I .9 4 20.4X 1 0 .4 7 0 $ 4 .5 6 2 2 .6X 164.5% 3 0 ,0 5 9 7 5 1 ,4 7 5 0.8% 1,151 2 8 ,7 7 5 O.OX SO.61 14.9X -6 4 .7 X 7 ,6 9 9 192,475 213 5 ,3 2 5 O.OX S0.11 8.SX •8 0 .2 X 923 2 3 ,0 7 5 O.OX 3 .4 1 4 8 5 ,3 5 0 1 4 ,4 4 8 3 6 1 ,2 0 0 2 0 ,5 5 0 O.OX 0.1X S 1 1 .3 9 19.3X -5 7 .9 X 1 7 .6 8 6 4 4 2 ,1 5 0 2 ,1 4 0 5 3 ,5 0 0 0.1X S 7 .1 4 12.3% -2 .8 X 4 ,0 1 3 100,325 0.1X O.SX S 2 .2 9 14.3X -6 0 .3 X 100 ,8 2 8 2 ,5 2 0 ,7 0 0 6 ,4 5 3 161,325 0.2 X S I .0 2 1 2 .IX -6 2 .3 X 13,151 328,7 7 5 0 .4X 993 2 4 ,8 2 5 O.OX 4 7 7 ,1 3 2 1 1 ,9 2 8 ,3 0 0 13.4X NEUAYGO 7 ,4 1 8 1 8 5,450 0.3X $ 5 .3 1 69.6X 2 7 1 .3X 1 0 ,655 2 6 6 ,3 7 5 405 1 0 ,125 O.OX SO.29 8.6X -23.4% OAKLANO 330.602 8 ,2 6 5 ,0 5 0 11.2X S 8 .1 7 2 2 .OX -2 4 .5 X 1 ,5 0 4 ,2 5 5 3 7 ,6 0 6 ,3 7 5 3 7 9 ,4 5 1 9 ,4 8 6 ,2 7 5 13.8X S 9 .3 8 19.8X 17.8X OCEANA 1 ,1 5 2 2 8 ,8 0 0 O.OX S I . 31 5.3 X - 9 2 . 9X 2 1 ,6 8 4 5 4 2 ,1 0 0 768 1 9 ,2 0 0 O.OX SO.67 6.8 X - 8 . IX 2 ,4 2 2 6 0 ,5 5 0 OGEKAU 3 ,1 1 5 7 7 ,8 7 5 0.1X S 4 .7 4 20.3X -4 7 .7 X 1 5 ,3 7 7 3 8 4 ,4 2 5 725 1 8 ,125 O.OX S I . 10 4.SX -7 4 .6 X 2,7 4 1 6 8 ,5 2 5 O .U 1 3 ,763 3 4 4 ,0 7 5 O.SX S 3 4 .8 9 19.9X -3 9 .3 X 6 9 ,1 6 4 1 ,7 2 9 ,1 0 0 1 2 ,3 4 8 3 0 8 ,7 0 0 0.4 X S31.31 20.7X -26.3% 1 2 ,035 3 0 0 ,8 7 5 0.3X ONTONAGON 0.1X 692 1 7 ,3 0 0 O.OX SO.91 23.7X -3 0 .6 X 2 ,9 2 2 7 3 ,0 5 0 614 1 5 ,3 5 0 O.OX SO.81 22.7X 7.0X 538 1 3 ,4 5 0 O.OX OSCOOA 2 ,0 7 1 5 1 ,7 7 5 0.1X S 7 .5 5 23.3X -3 6 .6 X 8 ,8 8 9 2 2 2 ,2 2 5 1,121 2 8 ,0 2 5 O.OX S 4 .0 9 1 4 .OX -6 .9 X 1 ,8 7 3 4 6 ,8 2 5 O .U OTSEGO 3 6 ,7 6 3 9 1 9 .0 7 5 1.2X S 6 1 .3 0 22.9X -45.8% 160 ,7 4 6 4 .0 1 8 ,6 5 0 2 5 ,8 7 7 6 4 6 ,9 2 5 0.9 X S 4 3 .1 5 1 7 .OX -0 .9 X 3 0 ,6 5 0 7 6 6 ,2 5 0 0.9 X OTTAWA 2 4 ,1 7 6 6 0 4 ,4 0 0 O.SX S 3.65 2 1 .6X •66.9X 112 ,0 4 9 2 ,8 0 1 ,2 2 5 2 0 ,7 2 8 5 1 8 ,2 0 0 O.SX S 3 .3 0 13.2X 263.5% 4 6 ,0 1 1 1 ,1 5 0 ,2 7 5 1.3X 1 ,0 5 0 2 6 ,2 5 0 O.OX S I . 84 17.9X -7 0 .9 X 5 ,8 7 5 146,875 544 1 3 ,600 O.OX SO.95 8 . OX 1 5 .OX 1 ,191 2 9 ,7 7 5 O.OX 0.6X OSCEOLA PRES. IS . ROSCOMMON 2 9 ,6 8 2 7 4 2 ,0 5 0 1.0X S 45.32 2 0 .7X -6 6 .9 X 143,583 3 ,5 8 9 .5 7 5 1 5 ,9 9 2 3 9 9 ,8 0 0 0.6 X S 2 4 .4 2 1 4 .IX -3 4 .1 X 2 0 ,8 8 9 5 2 2 ,2 2 5 SAGINAW 7 1 ,5 9 3 1 ,7 8 9 ,8 2 5 2.4X $ 7 .8 5 30.5X - 1 3 . OX 234,731 5 ,8 6 8 ,2 7 5 3 9 ,5 3 6 9 8 8 ,4 0 0 1.4X S 4 .3 3 2 1 .6X 33.3X 5 1 ,6 3 5 1 ,2 9 0 ,8 7 5 1.5X ST. CLAIR 2 8 ,4 6 6 7 1 1 ,6 5 0 1.0X S 5 .1 3 22.2X -3 8 .2 X 128,483 3 ,2 1 2 ,0 7 5 2 0 ,7 6 4 5 1 9 ,1 0 0 O.SX S 3 .7 4 17.0X -2 .1 X 3 1 ,0 0 8 775 ,2 0 0 0.9X ST.JOSEPH 9 ,6 7 8 2 4 1 ,9 5 0 0.3X S 4.31 2 0 .OX -4 9 .9 X 4 8 ,4 4 0 1 ,2 1 1 ,0 0 0 8 ,8 3 5 220,8 7 5 0.3X S 3 .9 4 19.9X 139.6X 1 2 ,5 9 2 3 1 4 ,8 0 0 0 .4X SANILAC 2 ,5 1 0 6 2 ,7 5 0 0.1X S I . 54 19.2X - 5 7 . OX 1 3,0 9 8 3 2 7 ,4 5 0 1 ,8 5 3 4 6 ,3 2 5 0.1X S I . 14 10.4X 15.6% 3 ,8 4 5 9 6 ,1 2 5 O .U SCHCFT. 10,9 1 6 2 7 2 ,9 0 0 0.4X S 3 1 .8 3 19.7X -70.S X 55,321 1 ,3 8 3 ,0 2 5 6 ,1 1 6 152,900 0.2% S17.B3 9.8X 294.3X 1 3 ,1 8 6 3 2 9 ,6 5 0 0.4X 5 ,6 6 5 141,625 0.2X S I .9 9 18.9X - 2 8 . OX 2 9 .9 1 5 7 4 7 ,8 7 5 4 ,4 1 4 110,350 0 .2X S I .5 5 19.2X -3 7 .9 X 5 ,4 9 3 137,325 0.2% SH1AWASSE TUSCOLA 4 ,1 8 5 104,625 0.1X S I . 84 2 4 .4X 4 2 9 ,5 7 5 1 ,4 3 6 3 5 ,9 0 0 0.1X SO.63 21.3% -66.2% 1 ,5 3 7 38 .4 2 S O.OX 5 ,8 1 4 1 4 5,350 0.2X S 2 .1 8 10.6X -1 7 .4 X -84.2% 17,1 8 3 VAN SUREN 5 5 ,1 0 9 1 ,3 7 7 ,7 2 5 2 ,2 6 2 5 6 ,5 5 0 0.1X SO.85 7.4X 297.5% 6 ,1 5 7 153,925 0.2X WASHTENAW 7 1 ,4 5 0 1 ,7 8 6 ,2 5 0 2.4X S 6.75 2 5 .4X •1 9 .6 X 2 8 1 ,6 3 9 7 ,0 4 0 ,9 7 5 5 9 ,3 5 3 1 ,4 8 3 ,8 2 5 2.2X S 5 .6 0 1 6 .OX 30.3X 6 5 ,6 6 0 2 ,1 4 1 ,5 0 0 2.4X 1 7 .OX S 5 .3 7 2 4 .9X -9 .4 X 2 ,0 1 4 ,4 2 7 5 0 ,3 6 0 ,6 7 5 4 4 5 ,1 7 1 1 1 ,1 2 9 ,2 7 5 16.2X S 4 .7 6 2 1 .3X 4.9X 5 5 7 ,8 7 5 1 3 ,9 4 6 ,8 7 5 15.7X 0.4X $ 1 1 .8 2 22.4X WAYNE WEXFORD OUT/STATE 5 0 2 ,5 2 6 1 2 ,5 6 3 ,1 5 0 11,865 2 9 6,625 6 0 0 ,6 9 6 1 5 ,0 1 7 ,4 0 0 20.4X 26.5X 5 3 ,0 6 4 1 ,3 2 6 ,6 0 0 -3 .3 X 2 ,2 6 6 ,8 7 4 5 6 ,6 7 1 ,8 5 0 - 4 1 . 7X 13,565 3 3 9 ,1 2 5 6 5 0 ,8 6 3 1 6 ,2 7 1 ,5 7 5 0.5 X S 13.51 23.7X 23.2% 27.3X 21.5X 38.5X 3 0 6 ,2 5 0 0.3X 7 4 2 ,5 5 9 1 8 ,5 6 3 ,9 7 5 20.9% 1 2 ,2 5 0 COUNTY HOTEL/ SALES PERCENT HOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q 3t004 USE TAX USE PER SALES PERCENT YEAN TAX CHANGE TOTAL TOTAL HOTEL/ SALES PERCENT USE SALES HOTEL REVENUES OF TOTAL CAPITA OF TOTAL 8 3 (1 )TO HOTEL TAX REVENUES 1983 1983 1 9 8 3 (4 ) TOTAL 2 8 ,2 7 3 USE SALES PERCENT YEAN 7 0 6 ,8 3 0 100.0X 22.3X S 6 .3 3 3 ,2 9 2 ,2 9 6 M (1 ) HOTEL/ SALES PERCENT REVENUES OF TOTAL USE TAX USE TAX 1 9 8 4 (2 ) -3 9 .1 X 1 3 ,1 9 7 ,2 9 6 3 2 9 ,9 3 2 ,4 0 0 2 ,7 4 8 ,8 8 0 6 8 ,7 2 2 ,0 0 0 1 3 1 ,6 9 2 CHANGE TAX 1 9 8 4 (1 ) 2 ,9 4 7 ,3 7 1 7 3 ,6 8 4 ,2 7 3 COUNTY AV USE fAX PER 2 3 ,2 7 7 6 3 1 ,9 3 3 100.0X 19.0X S S .6 6 2 0 .6 X 3 ,3 6 0 ,7 7 1 8 9 ,0 1 9 ,2 7 5 3 3 ,9 5 4 8 4 8 ,8 5 9 100.0X t-> cx> o COUNTY PER PERCENT CHANGE HOTEL/ CAPITA OF TOTAL 6 3 (1 )TO HOTEL SALES YEAR 8 4 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO MOTEL USE YEAR USE TAX PER SALES PERCENT CHANGE HOTEL/ 8 4 (3 ) SALES PERCENT REVENUES OF TOTAL CAPITA O f TOTAL 83(4)TO USE SALES USE TAX REVENUES USE TAX TAX SALES PERCENT YEAR CHANGE 8 4 (4 ) TAX 198 4 (3 ) ALCONA PER TOTAL 1984 TOTAL 1984 1 9 8 4 (4 ) S 3 .S 7 9.4X -39.6% 10,9 0 3 2 7 2 ,5 7 5 0.2% S 2 7 .9 9 73.8% 2.2% 1 ,7 8 8 4 4 ,7 0 0 $ 4 .5 9 12.1% -25.8% 1 4 ,7 7 9 3 6 9 ,4 7 5 $ 3 1 .2 4 18.9% 10.5% 3 0 ,7 8 0 7 6 9 ,5 0 0 0.6% $ 8 3 .4 1 50.5% 2.4% 10,431 2 6 0 ,7 7 5 0.3% $ 2 8 .2 7 17.1% 3.9% 6 0 ,8 9 7 1 ,5 2 2 ,4 2 5 ALLEGAN $ 7 .51 25.9% -9.8% 4 9 ,3 9 5 1 ,2 3 4 ,8 7 5 1.0% $ 1 5 .1 4 52.1% 12.2% 1 3 ,1 6 7 3 2 9 ,1 7 5 0.4% $ 4 .0 4 13.9% 34.4% 9 4 ,7 7 0 2 ,3 6 9 ,2 5 0 ALPENA $ 7 .2 4 19.6% •28.9% 2 3 ,7 8 0 5 9 4 ,5 0 0 0.5% $ 1 8 .4 0 49.9% -26.7% 8 ,2 4 0 2 0 6 ,0 0 0 0.3% $ 6 .3 7 17.3% 0.0% 4 7 ,6 2 8 1 ,1 9 0 ,7 0 0 ANTRIM $ 3 1 .5 7 21.3% -14.5% 4 6 ,8 6 8 1 ,1 7 1 ,7 0 0 1.0% $ 7 2 .3 5 48.8% 7.7% 11,8 5 5 2 9 6 ,3 7 5 0.4% $ 1 8 .3 0 12.3% -27.6% 9 6 ,0 7 8 2 ,4 0 1 ,9 5 0 ARENAC $ 1 1 .9 3 24.4% -1.8% 1 6 ,362 4 0 9 ,0 5 0 0.3% $ 2 7 .8 2 56.9% -18.2% 3 ,2 6 8 8 1 ,7 0 0 0.1% $ 5 .5 6 11.4% -62.0% 2 8 ,7 4 6 7 1 8 ,6 5 0 BARAGA $ 5 .3 7 24.1% 30.3% 2 ,9 5 2 7 3 ,8 0 0 0.1% $ 8 .7 0 39.0% -26.1% 1 ,7 1 2 4 2 ,8 0 0 0.1% $ 5 .0 4 22.6% 5.5% 7 ,5 6 7 189,175 BARRY $ 0 .61 19.8% 46.3% 2 ,1 0 8 5 2 ,7 0 0 0.0% $ 1 .1 5 37.6% 1.7% 1 ,3 8 4 3 4 ,6 0 0 0.0% $ 0 .7 6 24.7% 23.4% 5 ,6 1 2 140,300 BAY . $ 5 .4 6 55.2% 33.3% 2 0 ,3 9 2 5 0 9 ,8 0 0 0.4% $ 4 .2 5 27.4% -31.0% 9 ,1 8 6 2 2 9 ,6 5 0 0.3% $ 1 .9 2 12.3% -58.3% 7 4 ,5 2 3 1 ,8 6 3 ,0 7 5 BENZIE $ 1 2 .6 4 16.2% 17.4% 2 2 ,3 2 6 5SB ,150 0.5% $ 4 9 .8 1 63.8% -1.3% 4 ,8 2 5 120,625 0.1% $ 1 0 .7 7 13.8% -9.1% 3 4 ,9 7 2 8 7 4 ,3 0 0 BERRIEN $ 7 .5 3 28.9% 17.8% 6 8 ,8 5 9 1 ,7 2 1 ,4 7 5 1.4% $ 1 0 .0 5 38.5% -1.4% 3 4 ,7 7 2 8 6 9 ,3 0 0 1.1% $ 5 .0 8 19.5% 8.7% 178,651 4 ,4 6 6 ,2 7 5 BRANCH $ 3 .8 0 23.3% -33.2% 9 ,1 2 4 2 2 8 ,1 0 0 0.2% $ 5 .6 8 34.8% -11.5% 7 ,6 9 5 192 ,3 7 5 0.2% $ 4 .7 9 29.4% 55.8% 2 6 ,1 8 3 6 5 4 ,5 7 5 CALHOUN $ 6 .3 3 28.8% -6.5% 3 8 ,0 7 2 9 5 1 ,8 0 0 0.8% $ 6 .7 2 30.5% -6.6% 2 3 ,5 3 0 5 8 8 ,2 5 0 0.7% $ 4 .1 6 18.9% -8.4% 124,654 3 ,1 1 6 ,3 5 0 $ 1 .0 4 25.0% -68.5% 4 ,7 1 4 117 ,8 5 0 0.1% $ 2 .3 8 57.4% -58.9% 649 16 ,225 0.0% $ 0 .3 3 7.9% -88.0% 8 ,2 1 8 2 0 5 ,4 5 0 $ 2 5 .7 9 13.6% -33.4% 6 3 ,8 1 0 1 ,5 9 5 ,2 5 0 1.3% $ 8 0 .1 4 42.2% -18.8% 2 4 ,0 3 8 6 0 0 ,9 5 0 0.7% $ 3 0 .1 9 15.9% 2.1% 151,3 1 2 3 ,7 8 2 ,8 0 0 CHEBOYGAN $11 .7 1 19.8% -59.0% 3 1 ,0 1 7 7 7 5 ,4 2 5 0.6% $ 3 7 .5 5 63.4% •48.4% 5 ,3 9 9 134,9 7 5 0.2% $ 6 .5 4 11.0% -52.4% 4 8 ,9 2 4 1 ,2 2 3 ,1 0 0 CHIPPEWA 19.4% -14.3% 5 6 ,4 8 7 1 .4 1 2 ,1 7 5 1.2% $ 4 8 .6 5 58.3% -5.3% 13,781 3 4 4 ,5 2 5 0.4% $ 1 1 .8 7 14.2% 4.3% 9 6 ,8 6 9 2 ,4 2 1 ,7 2 5 7 0 2 ,3 0 0 ALGER CASS CHARLVX. $ 1 6 .2 0 0.1% $ 6 .1 9 27.6% 8.9% 10,901 27 2 ,5 2 5 0.2% $ 1 1 .4 4 38.8% -0.4% 5 ,3 5 9 133,975 0.2% $ 5 .6 2 19.1% -5.8% 2 8 ,0 9 2 CLINTON $ 1 .2 8 27.9% -60.5% 2 ,7 0 9 6 7 ,7 2 5 0.1% $ 1 .2 1 26.5% -3.8% 2 ,2 9 7 5 7 ,4 2 5 0.1% $ 1 .0 3 22.5% 9.5% 1 0 ,212 2 5 5 ,3 0 0 CRAUFORO $ 6 8 .4 0 23.1% -17.5% 4 2 ,3 1 3 1 ,0 5 7 ,8 2 5 0.9% $ 1 1 1 .7 6 37.7% -12.3% 2 2 ,0 3 4 5 5 0 ,8 5 0 0.7% $ 5 8 .2 0 19.6% -0.2% 112,2 5 2 2 ,8 0 6 ,3 0 0 DELTA CLARE ■ $ 1 1 .8 8 24.9% 12.4% 32,3 6 1 8 0 9 ,0 2 5 0.7% $ 2 0 .7 7 43.6% -39.4% 1 2 .6 3 2 3 1 5 ,8 0 0 0.4% $ 8 .1 1 17.0% -37.1% 7 4 ,3 0 3 1 ,8 5 7 ,5 7 5 DICKINSON $ 1 1 .3 0 21.3% 16.1% 1 8 ,656 4 6 6 ,4 0 0 0.4% $ 1 8 .4 0 34.7% 0.3% 1 3 ,9 2 2 3 4 8 ,0 5 0 0.4% $ 1 3 .7 3 25.9% 9.9% 53,801 1 ,3 4 5 ,0 2 5 EATON $ 6 .1 3 23.6% 807.4% 1 9 ,1 0 2 4 7 7 ,5 5 0 0.4% $ 5 .4 1 20.8% 544.9% 2 8 ,1 7 0 7 0 4 ,2 5 0 0.9% 30.7% 1238.9% 9 1 ,7 9 9 2 ,2 9 4 ,9 7 5 EWIET $ 5 9 .1 3 15.3% -3.8% 2 1 6 ,6 6 8 5 ,4 1 6 ,7 0 0 4.4% $ 2 3 5 .5 9 61.1% -7.9% 3 5 ,6 3 7 8 9 0 ,9 2 5 10.0% -28.3% 3 5 4 ,7 7 9 8 ,8 6 9 ,4 7 5 $ 3 .5 8 25.5% 7.1% 7 8 ,0 4 6 1 ,9 5 1 ,1 5 0 1.6% $ 4 .3 3 30.8% 13.5% 6 1 ,5 8 9 1 ,5 3 9 ,7 2 5 1.1% $ 3 8 .7 5 1.9% $ 3 .4 2 24.3% -54.2% 2 5 3 ,0 5 9 6 ,3 2 6 ,4 7 5 GLADWIN $ 2 .4 0 25.2% 4.7% 2 ,6 4 9 6 6 ,2 2 5 0.1% $ 3 .3 2 34.8% 18.5% 1 ,3 6 8 3 4 ,2 0 0 0.0% $ 1 .7 1 18.0% 2.9% 7,6 2 1 190,525 GOGEBIC $ 1 5 .7 3 15.1% -23.8% 2 6 ,0 9 5 65 2 ,3 7 5 0.5% $ 3 3 .1 4 31.9% 5.1% 12,611 3 1 5 ,2 7 5 0.4% $ 1 6 .0 2 15.4% -8.4% 8 1 ,9 2 9 2 ,0 4 8 ,2 2 5 GRD. TRV. $ 7 6 .3 5 23.0% 47.3% 348,561 8 ,7 1 4 ,0 2 5 7.1% $ 1 5 8 .7 3 47.7% 31.7% 1 2 2 ,4 7 0 3 ,0 6 1 ,7 5 0 3.8% $ 5 5 .7 7 16.8% 43.3% 7 3 0 ,4 9 4 1 8 ,2 6 2 ,3 5 0 GENESSE $ 7 .9 7 COUNTY PER PERCENT CHANGE HOTEL/ CAPITA OF TOTAL 83(1>TO MOTEL SALES YEAR 8 4 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO MOTEL USE YEAR USE TAX PER SALES PERCENT CHANGE HOTEL/ 8 4 (3 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 3 (4 )T 0 USE SALES USE TAX REVENUES USE TAX TAX PER SALES PERCENT YEAR CHANGE 8 4 (4 ) TAX 19 8 4 (3 ) TOTAL 1984 TOTAL 1984 1 9 8 4 (4 ) GRATOIT $ 5 .2 8 25.2% 142.5% 1 1 ,3 1 6 28 2 ,9 0 0 0.2% $ 6 .9 9 33.4% -25.2% 7 ,4 2 9 185,725 0.2% $ 4 .5 9 21.9% -4.6% 3 3 ,8 6 6 8 4 6 ,6 5 0 HILLSDALE $ 2 .2 8 28.5% 18.1% 4 ,0 8 5 102,125 0.1% $ 2 .4 3 30.3% 17.4% 4 ,1 2 0 103 ,0 0 0 0.1% $ 2 .4 5 30.6% 110.5% 1 3 ,4 7 7 3 3 6 ,9 2 5 1 ,7 6 9 ,5 2 5 HOUGHTON $ 9 .9 7 21.3% 5.2% 3 0 ,3 3 0 75 8 ,2 5 0 0.6% $ 2 0 .0 2 42.9% 7.8% 1 5 ,8 1 7 3 9 5 ,4 2 5 0.5% $ 1 0 .4 4 22.3% 32.0% 70,781 HURON $ 5 .7 6 2S.4X -27.2% 17,451 4 3 6 ,2 7 5 0.4% $ 1 1 .9 7 52.8% -42.7% 4 ,3 6 1 109,025 0.1% $ 2 .9 9 13.2% -22.6% 3 3 ,0 6 6 8 2 6 ,6 5 0 INGHAM $ 3 .1 3 26.5% 3.4% 3 3 ,8 3 3 8 4 5 ,8 2 5 0.7% $ 3 .0 7 26.1% -12.3% 3 1 ,5 6 9 7 8 9 ,2 2 5 1.0% $ 2 .8 6 24.3% -0.1% 1 2 9 ,7 4 8 3 ,2 4 3 ,7 0 0 IONIA $ 2 .3 7 31.2% -51.4% 5 ,1 4 5 128 ,6 2 5 0.1% $ 2 .4 8 32.6% -48.3% 3 ,2 2 0 8 0 ,5 0 0 0.1% $ 1 .5 5 20.4% •68.2% 15,791 394,7 7 5 IOSCO $ 1 3 .5 0 19.1% -17.0% 4 1 ,2 7 9 1 ,0 3 1 ,9 7 5 0.8% $ 3 6 .4 0 51.5% •4.3% 1 6 ,3 8 7 4 0 9 ,6 7 5 O.SX $ 1 4 .4 5 20.5% 26.4% 8 0 ,1 0 6 2 ,0 0 2 ,6 5 0 IRON ISABELLA JACKSON $ 7 .7 7 24.5% -30.3% 7 ,7 0 8 1 9 2 ,7 0 0 0.2% $ 1 4 .1 3 44.6% -93.3% 2 ,9 1 4 7 2 ,8 5 0 0.1% $ 5 .3 4 16.9% -30.1% 1 7 ,2 7 3 4 3 1 ,8 2 5 $ 1 1 .7 6 26.5% 16.5% 2 9 ,6 1 3 74 0 ,3 2 5 0.6% $ 1 3 .6 8 30.9% 7.0% 19,481 4 8 7 ,0 2 5 0.6% $ 9 .0 0 20.3% -3 .3 X 9 5 ,9 0 4 2 .3 9 7 ,6 0 0 $ 7 .5 9 26.5% -0.4% 5 4 ,4 2 2 1 ,3 6 0 ,5 5 0 1.1% $ 8 .9 8 31.3% 13.1% 3 8 ,6 2 4 9 6 5 ,6 0 0 1.2% $ 6 .3 7 22.2% 7.0% 173 .7 5 0 4 ,3 4 3 ,7 5 0 KALAMAZOO $ 7 .9 0 31.8% 76.1% 6 6 ,3 2 0 1 ,6 5 8 ,0 0 0 1.4% $ 7 .8 1 31.4% 46.8% 4 0 ,6 8 7 1 ,0 1 7 ,1 7 5 1.2% $ 4 .7 9 19.3% 7.2% 2 1 1 ,0 0 8 5 ,2 7 5 ,2 0 0 KALKASKA 0.1% $ 8 .5 9 21.1% -17.2% 7 ,7 6 4 1 9 4 ,1 0 0 0.2% $ 1 7 .7 2 43.6% 79.0% 3 ,4 5 8 8 6 ,4 5 0 $ 7 .6 9 19.4% 46.8% 1 7 ,7 9 0 4 4 4 ,7 5 0 KENT $ 1 2 .5 3 27.8% 48.9% 2 2 8 ,5 3 0 5 ,7 1 3 ,2 5 0 4.7X $ 1 2 .8 5 28.5% 17.6% 1 8 5 ,5 9 7 4 ,6 3 9 ,9 2 5 5.7% $ 1 0 .4 4 23.1% 11.5% 8 0 2 ,9 2 2 2 0 ,0 7 3 ,0 5 0 KEUEENAU $ 1 5 .8 9 10.4% -37.2% 8 ,9 8 8 22 4 ,7 0 0 0.2% $ 1 1 4 .4 7 74.6% -57.0% 1 ,3 3 6 3 3 ,4 0 0 0.0% $ 1 7 .0 1 11.1% •54.2% 1 2 ,0 5 6 3 0 1 ,4 0 0 LAKE $ 8 .0 6 19.2% -68.9% 5 ,6 9 5 142 ,3 7 5 0.1% $ 1 8 .4 6 4 4 . IX -81.4% 2 ,6 0 7 6 5 ,1 7 5 0.1% $ 8 .4 5 20.2% -66.6% 1 2 ,9 1 9 3 2 2 ,9 7 5 LAPEER $ 0 .7 9 24.5% -82.7% 2 ,7 0 0 6 7 ,5 0 0 0.1% $ 0 .9 6 30.1% 11.8% 2 ,4 8 2 6 2 ,0 5 0 0.1% $ 0 .8 9 27.6% -83.4% 8 ,9 8 3 2 2 4 ,5 7 5 $ 3 6 .6 1 11.6% 24.7% 12 2 ,4 2 7 3 ,0 6 0 ,6 7 5 2.5% $21 8 .5 1 69.4% 35.9% 1 6 ,3 0 4 4 0 7 ,6 0 0 O.SX $ 2 9 .1 0 9.2% 3.4% 1 7 6 ,3 3 8 4 ,4 0 8 ,4 5 0 LENAUEE $ 2 .0 0 27.7% 77.8% 8 ,5 0 4 2 1 2 ,6 0 0 0.2% $ 2 .3 6 32.8% 25.7% 5 ,9 1 4 147,850 0.2% $ 1 .6 4 22.8% 35.0% 2 5 ,9 6 0 6 4 9 ,0 0 0 LIV. S O .U 15.1% -36.7% 1 ,3 0 7 3 2 ,6 7 5 0.0% $ 0 .3 3 35.9% 62.2% 1 ,4 4 2 3 6 ,0 5 0 O.OX $ 0 .3 6 39.6% 404.2% 3 ,6 3 8 9 0 ,9 5 0 LUCE $ 1 1 .1 7 23.4% 5.8% 7 ,6 5 6 191 ,4 0 0 0.2% $ 2 8 .7 4 60.3% -3.1% 1 ,4 8 2 3 7 ,0 5 0 0.0% $ 5 .5 6 11.7% - 1 0 . (DC 12,701 3 1 7 ,5 2 5 16 9 ,596 4 ,2 3 9 ,9 0 0 3.5% $ 4 1 6 .5 7 64.0% -2.4% 6 ,6 2 1 ,2 2 5 LEELANAU MACKINAC $ 1 3 6 .5 7 21.0% 1.7% MACOMB $ 3 .7 4 35.7% 10.8% $ 1 6 .7 2 17.4% -22.7% MANISTEE 4 6 ,3 0 7 1 ,1 5 7 ,6 7 5 0.9% $ 5 0 .2 9 52.4% 17.2% 2 0 ,7 7 5 519,3 7 5 9 7 ,5 1 4 2 ,4 3 7 ,8 5 0 15 ,864 3 9 6 ,6 0 0 0.6X $ 5 1 .0 3 7.8X 42.7% 2 6 4 ,8 4 9 $ 3 .5 1 33.5% 19.4% 2 9 0 ,7 4 0 7 ,2 6 8 ,5 0 0 O.SX $ 1 7 .2 3 17.9% 6.3% 8 8 ,4 0 2 2 ,2 1 0 ,0 5 0 3.0% $ 6 .5 3 20.2% -5.0% 3 7 ,1 6 9 9 2 9 ,2 2 5 0.8% $ 1 2 .5 4 38.8% 11.5% 1 6 ,9 6 0 4 2 4 ,0 0 0 0.5% $ 5 .7 2 17.7% -1.7% 9 5 ,8 3 9 2 ,3 9 5 ,9 7 5 $ 1 1 .6 8 17.7% -33.0% 4 4 ,2 8 9 1 ,1 0 7 ,2 2 5 0.9% $ 4 2 .0 0 63.6% -3.1% . 8 ,9 0 9 222,7 2 5 0.3% $ 8 .4 5 12.8% -23.5% 6 9 ,6 2 0 1 ,7 4 0 ,5 0 0 MECOSTA $ 5 .8 0 24.0% -31.7% 10,2 3 3 2 5 5 ,8 2 5 0.2% $ 6 .9 2 28.7% -54.6% 7 ,5 3 0 188 ,2 5 0 0.2% $ 5 .0 9 21.1% -56.9% 3 5 ,6 7 7 891 ,9 2 5 MENOMINEE $ 0 .3 9 6.0% 3 ,5 8 5 8 9 ,6 2 5 0.1% $ 3 .4 2 53.4% -48.1% 2 ,5 2 9 6 3 ,2 2 5 0.1% $ 2 .4 1 37.7% -27.3% 6 ,7 1 5 167,875 $ 1 2 .1 3 27.4% -88.5% 8.7% 3 6 ,9 0 8 9 2 2 ,7 0 0 0.8% $ 1 2 .5 4 28.3% -18.4% 2 7 ,5 6 8 6 8 9 ,2 0 0 0.8% $ 9 .3 7 21.2% -13.3% 130,1 9 4 3 ,2 5 4 ,8 5 0 MARQUETTE MASON MIDLAND COUNTY PER PERCENT CHANGE HOTEL/ CAPITA OF TOTAL 8 3(1 )T0 MOTEL SALES YEAR 8 4 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 3 (3 )T 0 MOTEL USE YEAR USE TAX PER SALES PERCENT CHANGE HOTEL/ 8 4 (3 ) SALES PERCENT TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL B3(4)TO USE SALES USE TAX REVENUES USE TAX TAX PER SALES PERCENT TEAR CHANGE 8 4 (4 ) TAX 198 4 (3 ) 1984 MISSAUKEE S 3 .2 7 O.OX 0.6X 4 .2 2 0 105,5 0 0 0.1X $ 1 0 .5 4 2 5 .8X 112.7X 1 0 ,0 2 3 250 ,5 7 5 0.3 X $ 2 5 .0 3 MONROE ss.sa 27.7X 1 0 4 .IX 3 0 ,8 2 2 7 7 0 ,5 5 0 0.6X S 5 .7 2 28.4X 99.3X 2 3 ,2 2 3 5 8 0 ,5 7 5 0.7 X $ 4 .3 1 6 1 .2X 21.4X 913.4X 121.8X MONTCALM 1984 1 9 8 4 (4 ) 1 6 ,3 7 4 4 0 9 ,3 5 0 108,681 2 ,7 1 7 ,0 2 5 SO.49 36.8X -58.3X 700 1 7 .5 0 0 O.OX SO.37 27.9X -7B.5X 672 1 6 ,8 0 0 O.OX $ 0 .3 5 26.8X -4 1 .6 X 2 ,5 0 8 6 2 ,7 0 0 S I 3 .3 9 2 3 .IX 1.1X 7 ,6 0 7 190,175 0.2 X $ 2 5 .3 8 43.7X -6 .1 X 3 ,6 4 6 9 1 ,1 5 0 0 .1 X $ 1 2 .1 7 20.9X 6.8X 1 7 ,4 0 6 4 3 S .1 5 0 MUSKEGON S 2 .0 9 24.6X - 6 0 .OX 2 2 ,3 3 9 5 5 8 ,4 7 5 0.5X S 3 .5 4 41.8X -3 8 .6 X 1 1 ,5 0 8 2 8 7 ,7 0 0 0 .4 X $ 1 .8 3 21 .SX -2 0 .3 X 5 3 ,4 5 1 1 ,3 3 6 ,2 7 5 NEUATGO SO .71 2 1 .IX 39.9X 2 ,1 8 0 5 4 ,5 0 0 O.OX S I .5 6 46.3X 9 . IX 1 ,1 2 7 2 8 ,1 7 5 O.OX $ 0 .8 1 2 4 .OX -84.8X 4 ,7 0 5 117,625 OAKLAND S I 1 .7 9 24.9X 15.5X 5 2 7 ,8 6 9 1 3 ,1 9 6 ,7 2 5 10.8X $ 1 3 .0 4 27.5X 20.5X 16.3X $ 1 3 .1 6 2 7 . BX 6 1 . 1X 1 ,9 1 6 ,9 2 9 4 7 ,9 2 3 ,2 2 5 OCEANA $ 2 .7 5 2 1 .4X -28.3X 6 ,7 3 3 168,325 0.1X S 7 .6 5 59.6X -5 8 .7 X 1 ,3 8 2 3 4 ,5 5 0 O.OX $ 1 .5 7 12.2X 2 0 .OX 11,3 0 5 2 8 2 ,6 2 5 OGEMAW S 4 .1 7 1 7 . IX - 2 0 .6X 8 ,6 1 3 2 1 5 ,3 2 5 0.2X $ 1 3 .1 0 53.8X 44.7X 3 ,9 1 8 9 7 ,9 5 0 0.1 X $ 5 .9 6 2 4 .5X 2S.8X 1 5 ,9 9 7 3 9 9 ,9 2 5 ONTONAGON S 30.S1 2 0 .IX -24.6X 2 4 ,5 8 4 6 1 4 ,6 0 0 0.5X $ 6 2 .3 3 41.2X B.4X 1 0 ,7 6 7 2 6 9 ,1 7 5 0.3X $ 2 7 .3 0 1 8 .OX -21.8X 5 9 ,7 3 4 1 ,4 9 3 ,3 5 0 OSCEOLA SO .71 19.9X -18.4X 867 2 1 ,6 7 5 O.OX $ 1 .1 5 3 2 .OX - 1 3 . OX 688 1 7 ,2 0 0 O.OX $ 0 .9 1 2 5 .4X -0 .6 X 2 ,7 0 7 6 7 ,6 7 5 OSCODA $ 6 .8 3 23.4X •20.2X 2 ,9 0 5 7 2 ,6 2 5 0.1X $ 1 0 .5 9 36.3X - 1 1 . IX 2 ,111 5 2 ,7 7 5 0 .1 X $ 7 .7 0 26.4X 1.9X 8 ,0 1 0 2 0 0 ,2 5 0 OTSEGO S S I .11 20.1X 1.9X 6 7 ,681 1 ,6 9 2 ,0 2 5 1.4X $ 1 1 2 .8 5 4 4 .4X -0 .2 X 2 8 ,3 2 2 7 0 8 ,0 5 0 0 .9 X $ 4 7 .2 3 1B.6X - 2 3 . OX 1 5 2 ,5 3 0 3 ,8 1 3 ,2 5 0 OTTAWA S 7 .3 2 29.4X 398.6X 6 2 ,9 4 3 1 ,5 7 3 ,5 7 5 1.3X $ 1 0 .0 1 40.2X -1 3 .7 X 2 7 ,0 2 0 6 7 5 ,5 0 0 O.SX $ 4 .3 0 17.2X 11.8X 1 5 6 ,7 0 2 3 ,9 1 7 ,5 5 0 PRES. IS . S 2 .0 9 17.SX 6 1 .4X 3 ,8 9 0 9 7 ,2 5 0 0.1 X $ 6 .8 2 5 7 .OX 7.6X 1 ,1 9 7 2 9 ,9 2 5 O.OX $ 2 .1 0 17.5X 1 4 .OX 6 ,8 2 2 170 ,5 5 0 ROSCOMMON $ 3 1 .8 9 18.4X ERR 6 0 ,5 4 0 1 ,5 1 3 ,5 0 0 1.2X $ 9 2 .4 3 S3.4X -3 2 .5 X 1 5 ,9 2 8 3 9 8 ,2 0 0 O.SX $ 2 4 .3 2 1 4 .IX -4 6 .3 X 1 1 3 ,3 4 9 2 ,8 3 3 ,7 2 S MONT. 5 3 2 ,4 7 7 1 3 ,3 1 1 ,9 2 5 SAGINAW S S .6 6 26.2X 0.9X 5 3 ,9 2 3 1 ,3 4 8 ,0 7 5 1.1X $ 5 .9 1 2 9 .SX •34.5X 3 7 ,9 0 5 9 4 7 ,6 2 5 1.2X $ 4 .1 6 20.7X - 4 7 . IX 1 8 2 ,9 9 9 4 ,5 7 4 ,9 7 5 ST. CLAIR $ 5 .5 8 25.5X -5 .4 X 4 0 ,9 1 2 1 ,0 2 2 ,8 0 0 O.SX $ 7 .3 7 33.6X - 1 1 . IX 2 9 ,1 1 5 727 ,8 7 5 0 .9 X $ 5 .2 4 23.9X 2.3X 1 2 1 ,7 9 9 3 ,0 4 4 ,9 7 5 1 ,1 1 0 ,9 0 0 ST.JOSEPH S 5.61 28.3X •2 0 . IX 1 4 ,7 4 9 3 6 8 ,7 2 5 0.3X $ 6 .5 7 33.2X -2 3 .6 X 8 ,2 6 0 2 0 6 ,5 0 0 O.SX $ 3 .6 8 18.6X -1 4 .7 X 4 4 ,4 3 6 SANILAC $ 2 .3 6 21.SX 21.9X 8 ,4 1 1 2 1 0 ,2 7 5 0.2X $ 5 .1 6 47.0X 4 4 . 2X 3 ,7 8 6 9 4 ,6 5 0 0 .1 X $ 2 .3 2 21.2X 50.8X 1 7,8 9 5 4 4 7 ,3 7 5 SCHCFT. $ 3 6 .4 4 2 1 .IX 1 2 5 .7X 3 3 ,2 5 7 8 3 1 ,4 2 5 0.7X $ 9 6 .9 6 S3.1X - 1 0 . 1X 1 0 ,0 2 8 2 5 0 ,7 0 0 O.SX $ 2 9 .2 4 1 6 .OX -B.1X 6 2 ,5 8 7 1 ,5 6 4 ,6 7 5 5 7 4 ,8 0 0 SHIAWASSE S I .9 3 23.9X -40.8X 6 ,7 5 0 168 ,7 5 0 0.1X $ 2 .3 7 29.4X - 1 4 . 2X 6 ,3 3 5 158,375 0.2X $ 2 .2 3 27.6X 11.ex 2 2 ,9 9 2 TUSCOLA SO.67 22.8X -58.2X 2 ,0 6 4 5 1 ,6 0 0 O.OX $ 0 .9 1 30.7X -59.2X 1,691 4 2 ,2 7 5 0.1 X $ 0 .7 4 2 5 . IX -5 9 .6 X 6 ,7 2 8 1 6 8 ,2 0 0 VAN BUREN S 2 .3 0 2 0 . IX •48.7X 2 0 ,7 4 0 5 1 8 ,5 0 0 0.4 X $ 7 .7 6 6 7.5X -4 3 .5 X 1 ,5 4 8 3 8 ,7 0 0 O.OX $ 0 .5 8 5 . OX -73.4X 3 0 ,7 0 7 7 6 7 ,6 7 5 WASHTENAW SO.09 2 6 .OX 1 3 .IX 1 0 6,748 2 ,6 6 8 ,7 0 0 2.2X $ 1 0 .0 8 32.4X 2 0 . IX 7 7 ,4 0 2 1 ,9 3 5 ,0 5 0 2 .4 X $ 7 .3 1 23.5X 8.3X 3 2 9 ,1 6 3 8 ,2 2 9 ,0 7 5 WAYNE S 5 .9 7 2 6 .7X 4.6X 5 8 6 ,7 8 8 1 4 ,6 6 9 ,7 0 0 1 2 .OX $ 6 .2 7 2 8 .OX 5.8X 5 0 2 ,8 5 9 1 2 ,5 7 1 ,4 7 5 15.4X $ 5 .3 8 2 4 .OX 0.1X 2 ,0 9 2 ,6 9 3 5 2 ,3 1 7 ,3 2 5 $ 1 2 .2 0 2 1 .OX 20.2X 2 0 ,8 5 5 5 2 1 ,3 7 5 0.4X $ 2 0 .7 7 35.7X 2.4X 2 4 . SX 2 9 . IX 8 3 6 ,7 1 5 2 0 ,9 1 7 ,8 7 5 1 7 . IX 27.6X 34.7X WEXFORD OUT/STATE 1 1 ,7 7 9 2 9 4 ,4 7 5 7 9 6 ,9 9 5 1 9 ,9 2 4 ,8 7 5 0.4X $ 1 1 .7 3 24.5X 20.2X -0 .7 X 5 8 ,4 4 9 1 ,4 6 1 ,2 2 5 26.3X 32.7X 3 ,0 2 7 ,1 3 2 7 5 ,6 7 8 ,3 0 0 COUNTY PEN PEICENT CHANGE HOTEL/ CAPITA OF TOTAL 83(1)TO HOTEL SALES YEAS 8 4 (1 ) SALES PENCENT NEVENUES O f TOTAL CAPITA USE USE TAX PEN SALES PENCENT CHANGE HOTEL/ OF TOTAL 83(3>TO HOTEL YEAR 8 4 (3 ) SALES PENCENT TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL B3(4)TO USE SALES USE TAX REVENUES USE TAX COUNTY AV $ 7 .6 1 13.8 X 4 ,9 0 3 ,3 7 3 1 2 2 ,8 3 9 ,3 7 3 4 9 ,0 2 2 YEAR CHANGE 8 4 (4 ) 1984 1984 1 9 8 4 (4 ) 1984(3) 24.6X SALES PERCENT TAX TAX TOTAL PER 1 ,2 2 3 ,3 6 0 100.0X 33 .9 X $ 1 0 .9 8 1 .4 X 3 ,2 3 8 ,4 0 1 8 1 ,4 8 0 ,0 2 3 2 9 ,6 5 5 7 4 1 ,3 8 7 100.0X 22.SX S 6 .6 4 1 0 .8 X 1 4 ,4 7 3 ,8 2 7 3 6 1 ,8 4 0 ,8 7 5 1 3 7 ,9 1 0 3 ,4 4 7 ,7 3 9 C7> -C» COUNTY HOTEL/ SALES HOTEL REVENUES USE TAX PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 8 4 (1 )T 0 HOTEL USE SALES YEAR 8 5 (1 ) SALES PERCENT REVENUES OF IOTAL CAPITA OF TOTAL B4(2)TO HOTEL USE YEAR USE TAX TAX PER SALES PERCENT CHANGE HOTEL/ 8 5 (2 ) ALGER 8 ,5 9 5 ALLEGAN OF TOTAL CAPITA OF TOTAL B4(3)TO USE TAX USE BALES PERCENT YEAR CHANGE 8 5 (3 ) 19 8 5 (3 ) $ 0 .1 5 0.6 X - 9 1 .8X 1 ,3 2 4 3 3 ,1 0 0 O.OX $ 3 .4 0 14.6X -4 .7 X 6 ,7 4 1 168,5 2 5 0.1X $ 1 7 .3 0 74.5X -38.2X 2 1 4 ,8 7 5 O.SX $ 2 3 .2 9 13.7X 5.4X 1 2 ,5 3 6 3 1 3 ,4 0 0 O.SX $ 3 3 .9 7 2 0 .OX 8 .7 X 2 9 ,9 7 0 7 4 9 ,2 5 0 0.5 X $ 8 1 .2 2 47.9X -2 .6 X 9 ,6 8 2 2 4 2 ,0 5 0 O.SX $ 2 .9 7 9.2 X 25.8X 2 8 ,571 7 1 4 ,2 7 5 0.7X $ 8 .7 6 2 7 . IX 16.6% 5 2 ,6 6 7 1 ,3 1 6 ,6 7 5 0.9X $ 1 6 .1 4 50 .OX 6.6X ALPENA 5 ,7 2 9 143,225 0.2X $ 4 .4 3 12.3X -B .4X 1 1 ,2 6 7 2 8 1 ,6 7 5 O.SX $ 8 .7 2 24.2X 20.5X 2 0 ,2 9 1 5 0 7 ,2 7 5 0.3X $ 1 5 .7 0 43.5X -14.7% ANTR1N 25,671 6 3 6 ,7 7 5 O.SX $ 3 9 .3 2 20.7X 50.7X 1 8 ,5 7 0 4 6 4 ,2 5 0 0.4X $ 2 8 .6 7 1 5 .IX -9 .2 X 6 1 ,2 9 6 1 ,5 3 2 ,4 0 0 1.0X $ 9 4 .6 3 49.9X 30.8X ARENAC 2 ,2 3 9 5 5 ,9 7 5 0.1X $ 3 .8 1 1 4 .5X 6.6 X 4 ,2 5 6 106 ,4 0 0 0.1X $ 7 .2 4 27.5X -3 9 .3 X 5 ,9 2 4 1 4 8 ,1 0 0 0.1X $ 1 0 .0 7 38.3X •63.8X BARAGA 1 ,2 3 0 3 0 ,7 5 0 O.OX $ 3 .6 2 1 3 .5X 13.7X 2 ,8 7 6 7 1 ,9 0 0 0.1X $ 8 .4 7 31.6% 57.9X 3 ,4 4 6 8 6 ,1 5 0 0.1X $ 1 0 .1 5 37.9X 16.7X BARRY 1,2 5 4 3 1 ,3 5 0 O.OX $ 0 .6 8 17.7X 24.5% 1 ,8 1 0 4 5 ,2 5 0 O.OX $ 0 .9 9 2 5 .6X 62.6X 2 ,5 3 6 6 3 ,4 0 0 O.OX $ 1 .3 8 3S.8X 20.3X BAY 7 ,8 5 7 196,425 0.2X $ 1 .6 4 1 5 .6X -58.1X 1 2 ,7 8 8 3 1 9 ,7 0 0 0.3X $ 2 .6 7 25.3X -51.2% 1 8 ,4 3 8 4 6 0 ,9 5 0 0.3X $ 3 .8 5 36.5X -9 .6 X BENZIE 3 ,9 7 4 9 9 ,3 5 0 0.1X $ 8 .8 7 9.2 X 84.2% 7 ,6 3 6 1 9 0 ,9 0 0 0.2X $ 1 7 .0 4 17.7X 34.8X 2 4 ,4 7 9 6 1 1 ,9 7 5 0.4 X $ 5 4 .6 2 56.6X 9.6 X BERRIEN 3 2 ,7 4 4 8 1 8 ,6 0 0 1.0X $ 4 .7 8 16.3X 39.7X 5 7 ,7 2 8 1 ,4 4 3 ,2 0 0 1.4X $ 8 .4 3 28.7% 11.9% 6 9 ,8 6 4 1 ,7 4 6 ,6 0 0 1.2X $ 1 0 .2 0 34 .7 X 1.5X BRANCH 3 ,4 5 5 8 6 ,3 7 5 0.1X $ 2 .1 5 8.4X 6.2% 8 ,9 8 0 2 2 4 ,5 0 0 0 .2X $ 5 .5 9 2 2 .OX 46.9X 1 7 ,9 0 9 4 4 7 ,7 2 5 0.3X $ 1 1 .1 4 4 3 .ex 96.3X CALHOUN 2 4 ,7 1 5 6 1 7 ,8 7 5 O.SX $ 4 .3 6 21.6X -9 .1 X 3 1 ,0 6 7 7 7 6 ,6 7 5 0.7X $ 5 .4 9 27.2X -1 3 .4 X 3 5 ,7 3 5 8 9 3 ,3 7 5 0.6 X $ 6 .3 1 3 1 .2X -6 .1 X 506 12,6 5 0 O.OX $ 0 .2 6 6.9X -3 6 .5 X 2 ,1 1 3 5 2 ,8 2 5 0.1X $ 1 .0 7 2B.6X 2.7X 4 ,0 4 3 101,0 7 5 0.1X $ 2 .0 4 54.7X -14.2X 1.4X $ 5 6 .3 6 O .A ALCONA CASS O.OX PER TAX 1 9 8 5 (2 ) 1 ,425 PERCENT REVENUES TAX 198 5 (1 ) 57 SALES , 4 4 ,8 7 9 1 ,1 2 1 ,9 7 5 27.6X 4.6X 2 9 ,3 1 5 7 3 2 ,8 7 5 0 .7 X $36 .8 1 1S.0X 42.7% 6 4 ,2 3 1 1 ,6 0 5 ,7 7 5 1.1X $ 8 0 .6 6 39.4X CHEBOYGAN 4 ,8 2 9 120,725 0.2X $ 5 .8 5 B.8X 70.3X 1 1 ,6 8 6 2 9 2 ,1 5 0 O.SX $ 1 4 .1 5 21.3% 20.8X 3 2 ,8 4 5 8 2 1 ,1 2 5 0.6X $ 3 9 .7 7 6 0 . OX 5.9X CHIPPEUA 8 ,9 3 7 2 2 3 ,425 O.SX $ 7 .7 0 B.4X 14.8X 2 1 ,4 5 2 5 3 6 ,3 0 0 0.5X $ 1 8 .4 7 20.2X 1 4 .OX 6 0 ,0 8 3 1 ,5 0 2 ,0 7 5 1.0X $ 5 1 .7 4 56.6X 6.4X CLARE 4,4 8 1 112,025 0.1X $ 4 .7 0 1 3 .SX 11.2X 8 ,6 9 3 2 1 7 ,3 2 5 0.2X $ 9 .1 2 26.8X 1 1 .4X 1 1 ,5 8 0 2 8 9 ,5 0 0 0.2X $ 1 2 .1 5 35 .7 X 6.2X CLINTON 2 ,2 3 4 5 5 ,8 5 0 0.1X $ 1 .0 0 23.3X -5 .0 X 2 ,3 8 8 5 9 ,7 0 0 0.1X $ 1 .0 7 24.9X -1 6 .3 X 2 ,7 5 8 6 8 ,9 5 0 O.OX $ 1 .2 3 28.7X 1.8X 3 0 ,1 3 3 7 5 3 ,325 0.9X $ 7 9 .5 9 2 3 .OX 36.9X 2 7 ,8 5 0 6 9 6 ,2 5 0 0.7X $ 7 3 .5 6 21.2% 7.5X 4 7 ,4 8 4 1 ,1 8 7 ,1 0 0 0.8X S12S.42 36.2X 12.2X 9 ,7 5 5 2 4 3 ,8 7 5 O.SX $ 6 .2 6 13.5X -9 .6 X 18,4 2 5 4 6 0 .6 2 5 0.4X $ 1 1 .8 3 25.6X -0 .5 X 3 2 ,8 4 9 8 2 1 ,2 2 5 0.6 X $ 2 1 .0 9 45.6X 1.SX 1 1 ,8 9 7 2 9 7 ,425 0.4X $ 1 1 .7 4 18.4X 21.8% 1 5 ,1 0 0 3 7 7 ,5 0 0 0.4X $ 1 4 .9 0 23.4X 31.8% 22 ,3 7 4 5 5 9 ,3 5 0 0.4X $ 2 2 .0 7 3 4 .A 19.9X 2 5 .4X 13.8X CHARLVX. CRAWFORD DELTA DICKINSON EATON 2 7 ,0 2 6 6 7 5 ,6 5 0 O.SX EMHET 3 3 ,9 9 7 8 4 9 ,9 2 5 1.1X $ 3 6 .9 7 $ 7 .6 5 GENESSE 72,821 1 ,8 2 0 ,5 2 5 2.3X $ 4 .0 4 0.1X 18.2X 2 5 ,4 8 6 6 3 7 ,1 5 0 0 .6X $ 7 .2 1 23.9X 17.6X 2 1 ,7 3 4 5 4 3 ,3 5 0 $ 6 .1 5 20.4% 9 .A -2 9 .3 X 5 6 ,8 0 0 1 ,4 2 0 ,0 0 0 1.4X $ 6 1 .7 6 16.2% 4.SX 2 2 0 ,9 2 8 5 ,5 2 3 ,2 0 0 3.8X S240.22 62.9% 2 1 .2X 48.7X 8 9 ,6 3 3 2 ,2 4 0 ,8 2 5 2.1X $ 4 .9 7 2 6 . IX 3 9 . IX 106,724 2 ,6 6 8 ,1 0 0 1.8X $ 5 .9 2 3 1 . IX O.OX 0.4X 2 . OX 36. A GLADWIN 1,841 4 6 ,0 2 5 $ 2 .31 19.3X 9.2 X 2 ,3 2 3 5 8 ,0 7 5 C-.1X $ 2 .9 1 24.3X 2 1 . IX 2 ,8 8 5 7 2 ,1 2 5 $ 3 .6 1 30.2X B.9X GOGEBIC 3 2 ,0 1 8 8 0 0 ,4 5 0 1.0X $ 4 0 .6 6 36.2X 3.8 X 17,4 3 2 4 3 5 ,6 0 0 0.4X $ 2 2 .1 4 19.7X 4 0.7X 2 1 ,4 3 4 5 3 5 ,8 5 0 0.4 X $ 2 7 .2 2 24.2% -17.9X GRD. TRV. 9 1 ,6 1 6 2 ,2 9 0 ,4 0 0 2.9X $ 4 1 .7 2 11.6X -0 .2 X 1 6 6 ,6 1 0 4 ,1 6 5 ,2 5 0 4 . OX $ 7 5 .8 7 2 1 . IX -0 .6 X 4 3 5 ,9 8 7 1 0 ,8 9 9 ,6 7 5 7.4X S198.S4 5 5 .2X 2 5 . IX COUNTY HOTEL/ SALES PERCENT HOTEL REVENUES OF TOTAL CAPITA OF TOTAL 84(1)TO MOTEL USE USE TAX PER SALES PERCENT TEAR CHANGE HOTEL/ 8 5 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL B 4(2)T 0 MOTEL USE YEAR USE TAX TAX PER SALES PERCENT CHANGE HOTEL/ 8 5 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(3)TO USE TAX 1 9 8 5 (1 ) SALES USE TAX PER PERCENT YEAR CHANGE 8 5 (3 ) TAX 19 8 5 (2 ) 1 9 8 5 (3 ) GRATOIT 7 ,2 4 8 1 8 1,200 0.2X S 4 .4 8 17.0X 10.2X 9 ,8 3 9 2 4 5 ,9 7 5 0.2X S 6 .0 8 2 3 .OX 15.2X 1 3 ,6 5 0 3 4 1 ,2 5 0 0.2 X $ 8 .4 4 3 2 .OX N1LLSOALE 2 ,4 7 0 6 1 ,7 5 0 O .U SI .4 7 18.7X 7 2 .OX 3 ,7 6 3 9 4 ,0 7 5 O .U $ 2 .2 4 28.4X •1.9% 4 ,3 1 3 107,825 O .U $ 2 .5 6 32.6X 5.6X HOUGHTON 1 3 ,9 0 9 3 4 7 ,725 0.4X S 9 .1 8 18.8X 4 5 .8X 1 5 ,4 3 9 3 8 5 ,9 7 5 0.4X $ 1 0 .1 9 20.9X 2.3X 2 9 ,1 0 9 7 2 7 ,7 2 5 0.5 X $ 1 9 .2 2 39.3X -4 .0 X HURON 20.6% 3 ,2 1 7 8 0 ,4 2 5 O .U S2.21 10.7X 12.9X 7 ,0 7 0 176,7 5 0 0.2X $ 4 .8 5 23.5X -15.9% 1 3 ,815 3 4 5 ,3 7 5 0.2 X $ 9 .4 7 45.9X •20 .8 X 4 2 ,1 7 7 1 ,0 5 4 ,4 2 5 1.3% S 3 .8 3 2 0 .SX 41 .OX 5 4 ,6 1 0 1 ,3 6 5 ,2 5 0 1.3X $ 4 .9 6 26.5X 58.6X 5 7 ,8 2 9 1 ,4 4 5 ,7 2 5 1.0X $ 5 .2 5 2 8 . IX 70.9% IONIA 3 ,3 3 4 8 3 ,3 5 0 O .U S I .61 20.7X 3 3 . IX 3 ,9 2 3 9 8 ,0 7 5 O .U S I . 89 24.3% -20.3% 5 ,4 4 6 136 ,1 5 0 O .U $ 2 .6 3 3 3 .SX 5.9X IOSCO 8 ,0 1 3 2 0 0 ,3 2 5 0.3X $ 7 .0 7 8.8 X 12.4X 1 7 ,8 6 6 4 4 6 ,6 5 0 0.4X $ 1 5 .7 6 19.7X 16.7X 5 0 ,8 3 0 1 ,2 7 0 ,7 5 0 0.9 X $ 4 4 .6 3 5 6 . IX 23.1% INGHAM IRON 2 ,5 0 9 6 2 ,7 2 5 O .U $ 4 .6 0 14.2X 1 8 ,333 4 5 8 ,3 2 5 0.6X $ 8 .4 7 18.9X JACKSON 3 4 ,8 4 7 8 7 1 ,1 7 5 1.1X $ 5 .7 5 2 4 .OX O.SX KALAMAZOO 3 0 ,3 1 3 7 5 7,825 0.9X $ 3 .5 7 17.6X -1 7 .9 X 2 ,4 4 9 6 1 ,2 2 5 O .U $ 5 .5 9 18.7X 1 6 8,077 4 ,2 0 1 ,9 2 5 5.3X $ 9 .4 5 822 2 0 ,5 5 0 O.OX $ 1 0 .4 7 1 ,1 4 6 2 8 ,6 5 0 O.OX S 3 .7 2 O .U ISABELLA KALKASKA KENT KEUEENAU LAKE 3 ,7 5 7 9 3 ,9 2 5 O .U $ 6 .8 9 2 1 .2X -11.4% 7 ,6 4 3 191,075 O . U $ 1 4 .0 1 4 3 . IX -0 .8 X 2 6 ,8 1 8 6 7 0 ,4 5 0 0.6X $ 1 2 .3 9 27.6X 5.3X 2 9 ,3 7 0 7 3 4 ,2 5 0 0.5 X $ 1 3 .5 7 30.2X -O.SX 3 5 ,7 2 3 8 9 3 .0 7 5 0.9X S S .9 0 24.6% -2 2 .3 X 3 9 ,7 8 2 9 9 4 ,5 5 0 0.7 X $ 6 .5 6 27.4X •2 6 .9 X 4 4 ,2 1 9 1 ,1 0 5 ,4 7 5 1 .U $ 5 .2 1 2 5 .6X - 3 4 . IX 5 4 ,9 8 5 1 ,3 7 4 ,6 2 5 0 .9 X $ 6 .4 7 31 .SX -17.1% -1 2 .8 X 2 ,5 1 7 6 2 ,9 2 5 O .U $ 5 .7 5 19.2X - 3 3 . 1X 5 ,7 0 6 142,650 O . U $ 1 3 .0 3 43.5X - 2 6 . SX 20.9X 1.3X 2 1 6 ,0 8 7 5 ,4 0 2 ,1 7 5 5.2X $ 1 2 .1 5 26.8X -3 .0 X 2 0 8 ,7 5 4 5 ,2 1 6 ,8 5 0 3.6 X $ 1 1 .7 4 2S.9X -8 .7 X 5.5 X 69.8X 2 ,1 2 8 5 3 ,2 0 0 O .U $ 2 7 .1 0 14.3% 7 0 .SX 1 0 ,3 5 0 2 5 8 ,7 5 0 0.2X S131.81 69 .5 X 1S.2X 11.9X -4 6 .2 X 1 ,7 6 9 4 4 ,2 2 5 O.OX $ 5 .7 4 18.3X • 2 8 . SX 4 ,7 4 2 118 ,5 5 0 O .U $ 1 5 .3 7 4 9 . IX -1 6 .7 X O .U 4 . IX > 1 4 .U 1 ,8 1 6 4 5 ,4 0 0 $ 0 .6 5 9.9X 13.5X 3 ,9 5 6 9 8 ,9 0 0 O .U $ 1.41 21.6% 79.7% 6 ,7 9 4 169 ,8 5 0 2 2 ,6 7 6 5 6 6 ,9 0 0 0.7X $ 4 0 .4 7 12.7X 3 2 . 7X 2 4 ,4 3 0 6 1 0 ,7 5 0 0.6X $ 4 3 .6 0 13.7% 1 9 .IX 109,640 2 ,7 4 1 ,0 0 0 LENAUEE 4 ,6 2 9 115,725 O .U $ 1 .2 9 19.7X 6 .6X 6 ,1 5 1 1 53,775 O .U S I . 71 26.2% -1 4 .6 X 7 ,5 0 2 LIV. 4 ,1 8 7 104,675 O .U $ 1 .0 4 8.2X 1 1 3 8 .BX 1 1 ,045 2 7 6 ,1 2 5 0.3X $ 2 .7 5 2 1 .6X 1 9 0 4 .SX 1 9 ,8 4 8 O.OX $ 2 .2 8 4.8X 2.9X 3 ,5 4 2 8 8 ,5 5 0 O .U $ 1 3 .3 0 27.9X 19. U 0.2X S 1 8 .7 2 2.BX -5 9 .6 X 5 3 ,5 9 8 1 ,3 3 9 ,9 5 0 1.3X $ 1 3 1 .6 5 19.9X -3 .6 X $ 3 .7 5 20.6X 16.6X 133 ,5 4 6 3 ,3 3 8 ,6 5 0 3.2X $ 4.81 26.4% 28.5X LAPEER LEELANAU LUCE $ 2 .4 3 37.2X 151.6% 1.9X S195.69 61.4% -10.4% 1 87,550 O .U $ 2 .0 9 32.0X -1 1 .8 X 4 9 6 ,2 0 0 0.3% $ 4 .9 5 38.8X 1418.6% 7 .0 4 6 176 ,1 5 0 O . U $ 2 6 .4 5 55.4% -8.0% 188,125 4 ,7 0 3 ,1 2 5 3.2X S462.09 69.8X 10.9X 1 4 2 ,8 2 7 3 ,5 7 0 .6 7 5 2.4X $ 5 .1 4 28.3X ERR 606 1 5 ,150 7 ,6 2 0 190,500 1 0 4,160 2 ,6 0 4 ,0 0 0 MANISTEE 1 1 ,858 2 9 6 ,4 5 0 0.4X $ 1 2 .8 8 12.6X 9.4X 16,7 1 0 4 1 7 ,7 5 0 0.4X $ 1 8 .IS 17.7% 8.6% 4 7 ,3 5 0 1 ,1 8 3 ,7 5 0 O.SX $ 5 1 .4 2 5 0 . 1X 2.3X MARQUETTE 14,565 3 6 4 ,1 2 5 0.5X 1 5 .7X -3 4 .9 X 2 2 ,0 7 8 5 5 1 ,9 5 0 0.5X $ 7 .4 5 23.6% 14. U 3 6 ,2 9 7 9 0 7 ,4 2 5 0 .6 X $ 1 2 .2 5 39.2X -2.3% NASON 5 ,1 3 0 128,250 0.2X S 4 .8 6 7.0X 2 4 .8X 16,6 0 9 4 1 5 ,2 2 5 0.4X $ 1 5 .7 5 22.5X 34.9X 4 4 ,0 1 6 1 ,1 0 0 ,4 0 0 MECOSTA 7,0 3 1 175,775 0.2X S 4 .7 6 18.2X -2 4 .7 X 1 0 ,1 7 3 2 5 4 ,3 2 5 0.2X $ 6 .8 8 11,7 4 2 2 9 3 ,5 5 0 1 ,4 2 0 3 5 ,5 0 0 O.OX $ 1 .3 5 9 .1X 6 2 4 .5X 4 ,0 5 1 101,275 O .U $ 3 .8 7 1B.7X 2 6 .OX 900.2% 6 ,9 0 2 2 6 ,7 6 7 6 6 9 ,1 7 5 O.SX $ 9 .0 9 2 1 .3X •10.8X 3 0 ,7 9 9 769 ,9 7 5 0.7 X $ 1 0 .4 6 -13.7% 3 6 ,0 0 4 MACKINAC MACOMB MENOMINEE MIDLAND 3.3X $ 4 .9 1 26.4% 24.5X 0.7 X $ 4 1 .7 4 59.7X •0 .6 X 0.2 X $ 7 .9 4 30.4X 14.7X 172,550 O .U $ 6 .5 9 44.3% 92.5X 9 0 0 ,1 0 0 0.6 X $ 1 2 .2 3 2B.7X -2 .4 X COUNTY HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 84<1)T0 HOTEL USE USE TAX PER SALES PERCENT YEAR CHANGE HOTEL/ 8 5 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(2)TO MOTEL USE YEAR USE TAX TAX MONROE MONTCALM SALES PERCENT CHANGE HOTEL/ 8 5 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(3)TO USE TAX USE TAX PER SALES PERCENT YEAR CHANGE 8 5 (3 ) TAX 1 9 8 5 (2 ) 1 9 8 5 (1 ) MISSAUKEE PER 19 8 5 (3 ) 1 .1 8 9 2 9 ,7 2 5 O.OX S 2 .9 7 15.3X 44.6X 1 ,6 7 6 4 1 ,9 0 0 O.OX S 4 .1 9 2 1 .6 8 28.0X 3 ,2 5 6 8 1 ,4 0 0 0 .1 X $ 8 .1 3 42.0X 2 3 ,8 7 0 5 9 6 ,7 5 0 0.7X S 4 .4 3 19.3X - 2 .9 8 3 2 ,9 1 8 8 2 2 ,9 5 0 O.SX $6.1 1 2 6 .6 8 9.5X 3 7 ,3 4 7 9 3 3 ,6 7 5 0.6 X $ 6 .9 3 30.2X 21.2X 490 1 2 ,250 O.OX SO.26 1 6 .OX 1 3 0 .OX 869 2 1 ,7 2 5 O.OX $ 0 .4 6 28.4X -5 .9 X 965 2 4 ,1 2 5 O.OX $ 0 .5 1 3 1 .5X 37.9X -2 2 .8 X MONT. 2 ,6 1 0 6 5 ,2 5 0 0 .1 X S 8.71 1 3 .3 8 2 2 .OX 4 ,9 6 4 124,1 0 0 0.1X $ 1 6 .5 6 25.4X 2 3 .7 8 7 ,8 9 6 197 ,4 0 0 0.1 X $ 2 6 .3 5 40.4X 3.8X MUSKEGON 3 ,4 5 7 8 6 ,4 2 5 0.1X SO.55 7.9X •4 6 .4 X 1 4 ,5 7 6 3 6 4 ,4 0 0 0.3 X $ 2 .3 1 3 3 .2 8 10.8X 2 0 ,7 3 7 5 1 8 ,4 2 5 0 .4 X $ 3 .2 9 47.2X -7 .2 X 590 14,750 O.OX SO.42 13.7X 4 5 .7 8 1 ,1 6 0 2 9 ,0 0 0 O.OX $ 0 .8 3 26.9X 16.8X 1 ,4 5 8 3 6 ,4 5 0 O.OX • 3 3 .IX 13.3X $ 1 0 .5 2 2 0 .BX 6 .2 8 12.3X 5 0 5 ,7 9 9 1 2 ,6 4 4 ,9 7 5 1 2 .IX $ 1 2 .5 0 2 4 .7 8 6 . OX 5 7 4 ,8 0 4 1 4 ,3 7 0 ,1 0 0 - 1 2 .9 8 2 ,3 0 0 5 7 ,5 0 0 0.1X $ 2 .6 1 2 1 .4 8 -5 .0 X NEWAYGO OAKLAND OCEANA OGEMAW ONTONAGON 4 2 5 ,9 3 7 1 0 ,6 4 8 ,4 2 5 669 1 6 ,725 O.OX $ 0 .7 6 2 ,4 3 0 6 0 ,7 5 0 0.1X 1 0 ,9 3 2 2 7 3 .3 0 0 6 ,7 2 6 168,150 $ 1 .0 4 33.9X 9 .8 X $ 1 4 .2 0 2 8 . IX 8.9X 0 .1 X 62.7% -0 .1 X $ 7 .6 4 $ 3 .7 0 1 2 .2 8 235.2X 4 ,0 0 2 1 0 0 ,0 5 0 0.1 X $ 6 .0 9 2 0 . IX 4 6 .OX 8 ,1 0 0 2 0 2 ,5 0 0 0 .1 X $ 1 2 .3 2 40.8X -6 .0 X 0.3X $ 2 7 .7 2 2 2 . IX -1 1 .5 X 1 1 ,212 2 8 0 ,3 0 0 0.3X $ 2 8 .4 3 22.7X -6 .8 X 1 4 ,845 3 7 1 ,1 2 5 0 .3 X $ 3 7 .6 4 3 0 . IX •39.6X OSCEOLA 714 1 7 ,850 O.OX SO.94 24.3X 16.3X 750 1 8 ,7 5 0 O.OX $ 0 .9 9 2S.5X 39.4X 744 1 8 ,6 0 0 O.OX $ 0 .9 8 2S.3X -1 4 .2 X OSCOOA 9 98 2 4 ,9 5 0 O.OX $ 3 .6 4 12.3X - 1 1 .0 8 1 ,7 7 3 4 4 ,3 2 5 O.OX $ 6 .4 6 2 1 .9 8 -5 .3 X 3 ,1 8 3 7 9 ,575 0.1 X $ 1 1 .6 0 39.4X 9.6X OTSEGO 3 1 ,7 0 8 7 9 2 ,7 0 0 1.0X $ 5 2 .8 7 1 9 .2 8 22.SX 3 4 ,4 4 9 8 6 1 ,2 2 5 O.SX $ 5 7 .4 4 20.8X 12.4X 6 9 ,9 3 2 1 ,7 4 8 ,3 0 0 1.2X S116.61 42.2% 3.3X OTTAWA 20,161 5 0 4 ,0 2 5 0.6X $ 3 .21 1 2 .SX -2 .7 X 3 9 ,7 9 2 9 9 4 ,8 0 0 1.0X $ 6 .3 3 24.7X - 1 3 . SX 6 8 ,7 5 3 1 ,7 1 8 ,8 2 5 1.2X $ 1 0 .9 4 4 2 .6 X 9.2X O.OX 0 .1 X PRES. IS . ROSCOMMON 1 ,584 3 9 ,6 0 0 $ 2 .7 8 17.4X 1 9 1 .2 8 1 ,9 2 6 4 8 ,1 5 0 O.OX $ 3 .3 7 2 1 .2 8 6 1 . 7X 3 ,8 0 6 9 5 ,1 5 0 $ 6 .6 7 41.8X -2.2% 1 7 ,0 5 3 4 2 6 ,3 2 5 0 .5 X $ 2 6 .0 4 15.5X 6 .6 8 2 1 ,1 4 6 5 2 8 ,6 5 0 0.5X $ 3 2 .2 9 19.2X 1.2X 5 1 ,4 7 6 1 ,2 8 6 ,9 0 0 0.9 X $ 7 8 .5 9 46.6X - 1 5 .OX SAGINAW 2 3 ,4 2 9 5 8 5,725 0.7X $ 2 .5 7 1 5 . IX -4 0 .7 X 3 8 ,3 5 3 9 5 8 ,8 2 5 0.9X $ 4 .2 0 2 4 .6 8 -2 5 .7 X 5 5 ,2 3 6 1 ,3 8 0 ,9 0 0 0 .9 X $ 6 .0 6 35.7% 2.4X ST. CLAIR 2 6 ,6 9 5 6 6 7 ,3 7 5 O.SX $ 4 .81 17.4X 2 8 .6 8 4 0 ,0 7 5 1 ,0 0 1 ,8 7 5 1.0X $ 7 .2 2 2 6 . IX 2 9 .2 8 5 4 ,0 0 7 1 ,3 5 0 ,1 7 5 0 .9 X $ 9 .7 3 3 5 . IX 32.0% ST.JOSEPH 7 ,6 9 3 192,325 0.2X $ 3 .4 3 8.5X -1 2 .9 X 1 0 ,2 9 2 2 5 7 ,3 0 0 0 .2 8 $ 4 .5 9 1 1 .4X -1 8 .3 X 6 3 ,5 0 1 1 ,5 8 7 ,5 2 5 1.1X $ 2 8.31 70.2X 330.SX SANILAC 2 ,1 6 7 5 4 ,1 7 5 0.1X S I .3 3 7.7X 16.9X 1 4 ,4 3 7 3 6 0 ,9 2 5 0.3X $ 8 .8 5 5 1 . IX 275.5X 8 ,9 7 7 2 2 4 ,4 2 5 0 .2 X $ 5 .5 0 31.8X 6.7X SCHCFT. 6 ,4 9 9 162,475 0.2X $ 1 8 .9 5 8 .9 X 6 .3 8 15,035 3 7 5 ,8 7 5 0.4 X $ 4 3 .8 3 20.5X 1 4 .0 8 4 0 ,2 9 0 1 ,0 0 7 ,2 5 0 0.7 X S 1 1 7 .4 6 54.9% 2 1 . IX SKIAWASSE 6 ,2 9 9 157,475 0.2X $ 2 .21 22.2X 42.7X 6 ,7 7 9 169,475 0 .2X $ 2 .3 8 2 3 .9 8 23.4X 7 ,9 4 2 198 ,5 5 0 0 .1 X $ 2 .7 9 2 8 . IX 17.7X TUSCOLA 1 ,685 4 2 ,1 2 5 0.1X $ 0 .7 4 9 . IX 17.3X 2 ,5 0 9 6 2 ,7 2 5 0.1X $ 1 .1 0 13.6X 6 3 .2 8 1 1 ,4 1 7 2 8 5 ,4 2 5 0 .2 X $ 5 .0 1 61.8% 4 5 3 .IX 37.9% VAN WREN 928 2 3 ,2 0 0 O.OX $ 0 .3 5 2.3X - 5 9 .0 8 9 ,0 0 0 2 2 5 ,0 0 0 0.2X $ 3 .3 7 2 2 .0 8 46.2X 2 8 ,5 9 4 714,8 5 0 O.SX $ 1 0 .7 0 7 0 .OX WASHTENAW 7 1 ,2 2 5 1 ,7 8 0 ,6 2 5 2.2X S 6 .7 3 17.8X 2 0 .OX 100,7 7 4 2 ,5 1 9 ,3 5 0 2 .4 8 $ 9 .5 2 25.2X 1 7 .6 8 1 2 2 ,7 2 8 3 ,0 6 8 ,2 0 0 2 . IX $ 1 1 .5 9 30.7X 1 5 .OX 4 9 4 ,3 3 3 1 2 ,3 5 8 ,3 2 5 15.SX $ 5 .2 9 2 1 .6X 1 1 .0 8 6 1 0 ,1 2 4 1 5 ,2 5 3 ,1 0 0 14.6X $ 6 .5 2 2 6 .6 8 9.4X 6 5 7 ,7 8 6 1 6 ,4 4 4 ,6 5 0 $ 7 .0 3 28.7X 1 2 .IX 0.6X S 1 9 .6 8 3 0 . OX 4 5 . 7X 1 2 ,7 4 7 3 1 8 ,6 7 5 0.3X $ 1 2 .7 0 4.1X 2 1 ,3 1 3 5 32,8 2 5 0.4 X $ 2 1 .2 3 32.4% 2.2X 20.3X 4 3 .0 X 1 ,1 7 0 ,3 2 6 2 9 ,2 5 8 ,1 5 0 2 8 .0 8 5 7 .6 X 1 ,2 9 3 ,2 8 9 3 2 ,3 3 2 ,2 2 5 28.2X 54.6% WAYNE WEXFORD OUT/STATE 1 9 ,7 5 8 4 9 3 ,9 5 0 9 3 0 ,8 1 9 2 3 ,2 7 0 ,4 7 5 29.2X 19.4X 2 5 .SX 1 1 .2X 2 2 .OX COUNTY HOTEL/ M IE S PERCENT HOTEL REVENUES OF TOTAL CAPITA OF TOTAL 84(1>TO HOTEL USE TAX USE PER MLES PERCENT YEAR CHANGE HOTEL/ 8 5 (1 ) MLES PERCENT REVENUES OF TOTAL CAPITA USE TAX USE TAX 2 7 ,2 3 4 6 8 0 ,8 4 5 CHANGE HOTEL/ OF TOTAL 84(2)TO HOTEL YEAR ' 8 5 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(3>TO USE TAX USE 100.0X 18.AX $ 6 .1 0 SALES PERCENT YEAR CHANGE 8 5 (3 ) 1 9 6 5 (3 ) 1 6 .1 X 4 ,1 8 6 ,6 9 4 1 0 4 ,6 6 7 ,3 5 0 3 6 ,3 4 2 PER TAX 1 9 8 5 (2 ) 3 .1 9 1 ,2 2 3 7 9 ,7 8 0 .5 7 5 COUNTY AV SALES PERCENT TAX 1 9 8 5 (1 ) TOTAL PER 9 0 8 ,5 4 5 100.0% 24 .4 X S 8 .1 4 1 7 .6 X 5 ,8 7 6 ,7 6 0 1 4 6 ,9 1 9 ,0 0 0 5 5 ,2 2 3 1 ,3 8 0 ,5 6 4 100.0X 34 .3 X * 1 2 .3 7 19.8X I— * 05 00 COUNTY HOTEL/ SALES MOTEL REVENUES USE TAX PERCENT PER PERCENT CHANGE TOTAL OF I0TAL CAPITA OF TOTAL 8 3 (4 > to SALES TOTAL HOTEL/ SALES MOTEL USE REVENUES SALES YEAR 8 5 (4 ) TAX USE 1985 USE TAX PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 8 5 (1 )tO MOTEL USE 1985 1985(A) ALCONA SALES REVENUES SALES YEAR 8 6 (1 ) PERCENT OF TOTAL USE TAX USE TAX TAX 19 8 6 (1 ) O.OX SALES REVENUES 1 9 8 6 (2 ) 922 2 3 ,0 5 0 S 2 .3 7 10.2X - 4 8 . 4X 9 ,0 4 4 2 2 6 ,1 0 0 32 800 $ 0 .0 8 O.SX -4 3 .9 X 1 ,2 7 0 3 1 ,7 5 0 O.OX ALGER 11,441 286,025 0.3X $31 .0 1 18.3X 9.7 X 6 2 ,5 4 2 1 ,5 6 3 ,5 5 0 1 0 ,3 5 9 258 ,9 7 5 O.SX $ 2 8 .0 7 1 4 . IX 2 0 .SX 1 4 ,4 6 6 3 6 1 ,6 5 0 O.SX ALLEGAN 14,385 359,625 0.4X S 4.41 13.7X 9.3 X 105,305 2 ,6 3 2 ,6 2 5 1 1 ,7 0 8 2 9 2 ,7 0 0 0.3X $ 3 .5 9 10.8X 20.9X 3 1 ,7 4 5 793 ,6 2 5 0.7X ALPENA 9 ,3 1 7 232,925 0.2X S 7.21 2 0 .OX 1 3 .1X 4 6 ,6 0 4 1 ,1 6 5 ,1 0 0 7,1 8 1 179,525 0.2X $ 5 .5 6 16.7X 2 5 . SX 1 0 ,4 6 6 2 6 1 ,6 5 0 0.2X ANTRIN 17 ,455 436,375 O.SX S 2 6 .9 5 14.2X 47.2X 122,7 9 2 3 ,0 6 9 ,8 0 0 2 7 ,9 4 2 6 9 8 ,5 5 0 O.SX $ 4 3 .1 4 1 8 . IX 9.7 X 2 1 ,2 5 1 5 3 1 ,2 7 5 0.4X ARENAC 3 ,0 3 8 7 5 ,9 5 0 0.1X 19.7X -7 .0 X 1 5 ,4 5 7 3 8 6 ,4 2 5 2 ,4 0 3 6 0 ,0 7 5 0.1X $ 4 .0 9 14.8X 7.3X 4 ,0 2 2 100 ,5 5 0 0.1X $ 5 .1 6 O.OX BARAGA 1 ,5 4 7 38 ,675 O.OX S 4 .5 6 1 7 .OX -9 .6 X 9 ,0 9 9 2 2 7 ,4 7 5 1 ,3 5 4 3 3 ,8 5 0 O.OX $ 3 .9 9 12.9X 10.1X 2 ,1 3 4 5 3 ,3 5 0 O.OX BARRY 1 ,4 7 8 3 6 ,9 5 0 O.OX SO.81 20.9X 6.8 X 7 ,0 7 8 1 7 6 ,9 5 0 847 21 ,1 7 5 O.OX $ 0 .4 6 16.4X -32.5X 965 2 4 ,1 2 5 O.OX 1 1 ,363 284,075 0.3X $ 2 .3 7 22.5X 23.7X 5 0 ,4 4 6 1 ,2 6 1 ,1 5 0 10,7 5 5 2 6 8 ,8 7 5 O.SX $ 2 .2 4 23.7X 36.9X 1 1 ,1 9 9 279,9 7 5 0.2X 7,1 5 1 17B,775 0.2X $ 1 5 .9 5 16.5X 48 .2 X 4 3 ,2 4 0 1 ,0 8 1 ,0 0 0 4 ,7 8 4 119,6 0 0 0.1X $ 1 0 .6 7 9.9X 20.4X 7 ,8 0 2 195 ,0 5 0 0.2X BAY BENZIE BERRIEN 4 1 ,1 1 8 1 ,0 2 7 ,9 5 0 1.1X $ 6 .0 0 20.4X 18.3X 2 0 1 ,4 5 4 5 ,0 3 6 ,3 5 0 3 9 ,7 3 9 993 ,4 7 5 1.1X $ 5 .8 0 19.0X 2 1 .4X 5 6 ,8 7 5 1 ,4 2 1 ,8 7 5 1.2X BRANCH 1 0 ,5 4 8 2 6 3,700 0.3X $ 6 .5 6 25.8X 3 7 . IX 4 0 ,8 9 2 1 ,0 2 2 ,3 0 0 1 1 ,9 6 9 299 ,2 2 5 O.SX $ 7 .4 5 20.8X 246.4X 14,931 373,2 7 5 0.3X CALHOUN 2 2 ,8 8 5 572,125 0.6X $ 4 .0 4 2 0 .OX -2 .7 X 114,4 0 2 2 ,8 6 0 ,0 5 0 23,761 5 9 4 ,0 2 5 0.6X $ 4 .2 0 2 1 .2X -3 .9 X 3 2 ,5 8 9 8 1 4 ,7 2 5 0.7X 724 1 8 ,100 O.OX $ 0 .3 7 9.8X 1 1 .6X 7 ,3 8 6 1 8 4 ,6 5 0 661 16,5 2 5 O.OX $ 0 .3 3 6.7X 30.6X 2 ,4 5 7 6 1 ,4 2 5 0.1X 2 4 ,3 9 4 6 0 9 ,8 5 0 0.6X $ 3 0 .6 3 1 5 .OX 1.SX 1 6 2 .8 1 9 4 ,0 7 0 ,4 7 5 4 4 ,4 0 2 1 ,1 1 0 ,0 5 0 1.2X $ 5 5 .7 6 28.2X -1 .1 X 2 5 ,1 3 6 6 2 8 ,4 0 0 0.5X CASS CHARLVX. CHEBOYGAN 5 ,4 2 7 135,675 0.1X $ 6 .5 7 9.9X 0.5 X 5 4 ,7 8 7 1 ,3 6 9 ,6 7 5 3 ,6 4 8 9 1 ,2 0 0 0.1X $ 4 .4 2 5.2X -2 4 .5 X 8 ,5 8 5 214 ,6 2 5 0.2X 1 5 ,592 3 8 9 ,8 0 0 0.4X $ 1 3 .4 3 14.7X 1 3 .IX 106,064 2 ,6 5 1 ,6 0 0 10,0 6 5 251 ,6 2 5 O.SX $ 8 .6 7 8.8X 12.6X 2 3 ,8 1 4 5 9 5 ,3 5 0 O.SX CLARE 7 ,7 0 0 192,500 0.2X $ 8 .0 8 23.7X 43.7X 3 2 ,4 5 4 8 1 1 ,3 5 0 6 ,8 3 9 170,975 0.2X $ 7 .1 8 19.3X 52.6X 9 ,5 2 5 238 ,1 2 5 0.2X CLINTON 2 ,2 1 4 5 5 ,3 5 0 0.1X $ 0 .9 9 2 3 . IX -3 .6 X 9 .5 9 4 2 3 9 ,8 5 0 2 ,4 0 0 6 0 ,0 0 0 0.1X $ 1 .0 7 22.6X 7.4X 2 ,8 9 0 7 2 ,2 5 0 0.1X CRAUFORO 25,721 643,025 0.7X $ 6 7 .9 4 19.6X 16.7X 131,1 8 8 3 ,2 7 9 ,7 0 0 2 4 ,5 2 9 6 1 3 ,2 2 5 0.7X $ 6 4 .7 9 19.5X -1 8 .6 X 3 1 ,2 5 5 781 ,3 7 5 0.7X DELTA 1 1 ,0 3 0 2 7 5,750 0.3X $ 7 .0 8 15.3X -1 2 .7 X 7 2 ,0 5 9 1 ,8 0 1 ,4 7 5 7 ,3 2 7 183,175 0.2X $ 4 .7 0 9.8X -2 4 .9 X 1 8 ,4 1 8 4 6 0 ,4 5 0 0.4X DICKINSON 1 5 ,1 4 6 37 8,650 0.4X $ 1 4 .9 4 23.5X 8.8X 6 4 ,5 1 7 1 ,6 1 2 ,9 2 5 13,4 8 2 3 3 7 ,0 5 0 0.4X $ 1 3 .3 0 22.6X 13.3X 12,941 3 2 3 ,5 2 5 O.SX EATON 3 2 ,1 9 5 804,875 0.8X $ 9 .1 1 3 0 . 2X 14.3X 106,441 2 ,6 6 1 ,0 2 5 2 2 ,9 0 9 572 ,7 2 5 0.6X $ 6 .4 8 2 1 .4X -15.2X 2 6 ,9 0 3 6 7 2 ,5 7 5 0.6X EMMET 3 9 ,5 8 6 9 8 9 ,6 5 0 1.0X $ 4 3 .0 4 11.3X 1 1 .IX 351 ,3 1 1 8 ,7 8 2 ,7 7 5 4 6 ,0 0 8 1 ,1 5 0 ,2 0 0 1.3X $ 5 0 .0 3 10.9X 3 5 .3X 6 9 ,7 1 2 1 ,7 4 2 ,8 0 0 1.SX GENESSE 7 4 ,2 8 7 1 ,8 5 7 ,1 7 5 1.9X $ 4 .1 2 2 1 .6X 20.6X 3 4 3 ,4 6 5 8 ,5 8 6 ,6 2 5 7 4 ,4 6 9 1 ,8 6 1 ,7 2 5 2 . OX $ 4 .1 3 22.2X 2.3X 8 7 ,9 2 2 2 ,1 9 8 ,0 5 0 1.8X 0.1X CH1PPEUA GLADWIN 2 ,5 1 2 6 2 ,8 0 0 $ 3 .1 5 26.3X 8 3 .6X 9 ,5 6 1 2 3 9 ,0 2 5 1 ,9 9 7 4 9 ,9 2 5 $ 2 .5 0 2 0 . IX 8.SX 2 ,4 5 5 6 1 ,3 7 5 0.1X GOGEBIC 1 7 ,6 1 3 440,325 O.SX $ 2 2 .3 7 19.9X 3 9 . 7X 8 8 ,4 9 7 2 ,2 1 2 ,4 2 5 2 9 ,7 5 3 743 ,8 2 5 O.SX $ 3 7 .7 8 33.9X -7 .1 X 1 3 ,1 0 8 3 2 7 ,7 0 0 0.3X GRO. TRV. 9 6 ,2 9 4 2 ,4 0 7 ,3 S 0 2.5X $ 4 3 .8 5 12.2X -2 1 .4 X 7 9 0 ,5 0 7 1 9 ,7 6 2 ,6 7 5 9 6 ,4 9 8 2 ,4 1 2 ,4 5 0 2.6X $ 4 3 .9 4 10.3X 5.3X 1 9 3 ,0 7 7 4 ,8 2 6 ,9 2 5 4 . IX 0.1X COUNTY HOTEL/ SALES PERCENT CHANGE TOTAL TOTAL HOTEL/ SALES PERCENT MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 8 3 ( * ) t o SALES SALES MOTEL REVENUES OF TOTAL CAPITA OF TOTAL B S ( 1 ) to MOTEL USE REVENUES USE TAX PER SALES PERCENT TEAR 8 5 (4 ) TAX USE 1985 198 5 (4 ) GRATOIT USE TAX SALES USE 1985 PER PERCENT YEAR CHANGE HOTEL/ 8 6 (1 ) SALES PERCENT REVENUES OF TOTAL USE TAX USE TAX TAX 1 9 8 6 (1 ) 1 9 8 6 (2 ) 1 1 ,9 7 0 2 9 9 ,2 5 0 O.SX S 7 .4 0 2 8 .OX 6 1 . IX * 2 ,7 0 7 1 ,0 6 7 ,6 7 5 9 ,9 * 0 2 * 8 ,5 0 0 0.3X S 6 .1 4 17.1X 3 7 . IX 1 5 ,3 7 8 3 8 4 ,4 5 0 0.3X HILLSDALE 2 ,6 8 8 6 7 ,2 0 0 0.1X SI .6 0 20.3X -3 4 .8 X 13,2 3 * 3 3 0 ,8 5 0 1 ,7 2 8 4 3 ,2 0 0 O.OX $ 1 .0 3 17.0X - 3 0 . OX 2 ,2 6 1 5 6 ,5 2 5 O.OX HOUGHTON 1 5 ,55* 3 8 8 ,8 5 0 0.4X S 1 0 .2 7 2 1 .OX -1 .7 X 74,011 1 ,8 5 0 ,2 7 5 1 5 ,3 8 8 3 8 4 ,7 0 0 O.AX $ 1 0 .1 6 17.8X 10.6X 1 7 ,5 4 6 4 3 8 ,6 5 0 O.AX 5 ,9 9 9 1*9,975 0.2X S 4.11 19.9X 37.6X 3 0 ,1 0 1 7 5 2 ,5 2 5 4 ,1 0 9 102,725 0.1X $ 2 .8 2 12.9X 27.7X 7 ,5 5 3 188,825 0.2 X 5 1 ,0 7 2 1 ,2 7 6 ,8 0 0 1.3X SA.63 2A.8X 61.8% 2 0 5 ,6 8 8 5 ,1 * 2 ,2 0 0 4 9 ,0 4 9 1 ,2 2 6 ,2 2 5 1.3X $ 4 .4 5 22.5X 16.3X 4 9 ,6 5 9 1 ,2 4 1 ,4 7 5 1.0X IONIA 3 ,* 0 9 8 5 ,2 2 5 21.2X 5.9 X 16 ,1 1 2 * 0 2 ,8 0 0 3 ,3 1 6 8 2 ,9 0 0 0.1X $ 1 .6 0 19.2% -O.SX 5 ,0 5 5 126,375 O .U IOSCO 1 3 ,9 3 9 3 * 8 ,4 7 5 0 - ist, $ 1 .6 * O.AX $ 1 2 .2 9 1 5 .AX -1 4 .9 X 9 0 ,6 * 8 2 ,2 6 6 ,2 0 0 9 ,5 1 8 2 3 7 ,9 5 0 O.SX $ 8 .3 9 10.0X 1 8 .BX 20,7 8 1 5 1 9 ,5 2 5 O.AX IRON 3 ,8 1 1 9 5 ,2 7 5 0.1X $ 6 .9 9 2 1 .5X 30.8X 1 7 ,7 2 0 4 * 3 ,0 0 0 2 ,4 6 1 6 1 ,5 2 5 0.1X $ 4 .5 1 14.2X -1 .9 X 3 ,5 0 0 8 7 ,5 0 0 O .U HURON INGHAM ISABELLA 2 2 ,5 9 0 5 6 4 ,7 5 0 0 .6 X $ 1 0 .4 * 2 3 .3X 1 6 .OX 9 7 ,1 1 1 2 ,4 2 7 ,7 7 5 2 4 ,8 1 1 620 ,2 7 5 0.7X $ 1 1 .4 6 22.8% 3 5.3X 28,8 6 1 7 2 1 ,5 2 5 0.6X JACKSON 3 * ,8 7 0 8 7 1 ,7 5 0 0.9X S 5.75 24.0X -9 .7 X 1*5 ,2 2 2 3 ,6 3 0 ,5 5 0 3 0 ,6 6 3 7 66,575 o.ex $ 5 .0 6 22.5X - 1 2 . OX 3 3 ,9 5 2 8 4 8 ,8 0 0 0.7X KALAMAZOO * 3 ,1 5 9 1 ,0 7 8 ,9 7 5 1 .IX S 5 .0 8 2 5 .OX 6 . IX 1 7 2 ,6 7 6 4 ,3 1 6 .9 0 0 3 5 ,4 * 3 8 8 6 ,0 7 5 1.0X $ 4 .1 7 23.6X 16.9X 4 4 ,1 7 5 1 ,1 0 4 ,3 7 5 0.9X 2 ,* * 5 6 1 ,1 2 5 0.1X $ 5 .5 8 18.6X -2 9 .3 X 1 3 ,1 1 7 3 2 7 ,9 2 5 2 ,1 * 4 5 3 ,6 0 0 0.1X $4.69 14.5X -12.5% 3 ,4 0 3 8 5 ,0 7 5 2 1 2 ,8 * 3 5 ,3 2 1 ,0 7 5 5.5X $ 1 1 .9 7 2 6 .AX 14.7X 805,7 6 1 2 0 ,1 * 4 ,0 2 5 198,0 9 2 4 ,9 5 2 ,3 0 0 5.4X $ 1 1 .1 4 21.5% 17.9X 239,711 5 ,9 9 2 ,7 7 5 KEWEENAW 1 ,5 9 9 3 9 ,9 7 5 O.OX $ 2 0 .3 6 1 0 .7X 19.7X 1 * ,8 9 9 3 7 2 ,4 7 5 1 ,1 6 2 2 9 ,0 5 0 O.OX $ 1 4 .8 0 LAKE 2 ,0 0 7 5 0 .1 7 5 0.1X $ 6 .51 2 0 .SX * 2 3 .OX 9 ,6 6 * 2 4 1 ,6 0 0 1 ,5 9 6 3 9 ,9 0 0 O.OX 5 ,7 2 1 1*3,025 0.1X $ 2 .0 * 3 1 .3X 130.5X 1 8 ,2 8 7 4 5 7 ,1 7 5 4 ,5 6 8 114,200 2 1 ,8 6 9 5 * 6 ,725 0.6X $ 3 9 .0 3 12.2X 3 * . IX 178,615 4 ,4 6 5 ,3 7 5 2 8 ,7 1 3 717 ,8 2 5 -1 2 .2 X KALKASKA KENT LAPEER LEELANAU LENAWEE O .U 5 . OX 7.3X *1.4% 1 ,7 0 4 4 2 ,6 0 0 O.OX $ 5 .1 7 15.6X 39.3X 1 ,8 6 9 4 6 ,7 2 5 O.OX 0.1X $ 1 .6 3 29.7% 151.5% 3 ,7 4 8 9 3 ,7 0 0 O .U o.ex $ 5 1 .2 5 14.4X 26.6X 2 S .1 6 6 6 2 9 ,1 5 0 0.5X 0.2X 5 ,1 9 3 129,825 0.1X $ 1 .* * 2 2 . IX 2 3 ,4 7 5 5 8 6 ,8 7 5 5 ,2 7 8 131,950 0.1X $ 1 .4 7 12.1% 1A.0X 10,8 2 2 2 7 0 ,5 5 0 LIV. 16,055 * 0 1 ,3 7 5 O.AX $ * .0 0 3 1 .*X 1 0 1 3 .AX 5 1 ,1 3 5 1 ,2 7 8 ,3 7 5 1 3 ,535 338 ,3 7 5 O.AX $ 3 .3 7 8.7X 223.3% 8 8 ,5 0 3 2 ,2 1 2 ,5 7 5 1.9X LUCE 1 ,5 1 9 3 7 ,9 7 5 O.OX $ 5 .7 0 11.9X 2.5X 1 2 ,7 1 3 3 1 7 ,6 2 5 1 ,0 6 5 2 6 ,6 2 5 O.OX $ 4 .0 0 7.1X 75.7% 3 ,2 5 2 8 1 ,3 0 0 0.1% MACKINAC O.SX $ * 9 .3 6 7.5X -3 .3 X 2 6 9 , **0 6 ,7 3 6 ,0 0 0 3 ,8 8 8 9 7 ,2 0 0 O .U $ 9 .5 5 1.3X - 4 9 .OX 6 4 ,0 2 5 1 ,6 0 0 ,6 2 5 1.3X $ * .5 0 2A.7X 2 8 . IX 5 0 5 ,4 6 3 1 2 ,6 3 6 ,5 7 5 118,3 8 5 2 ,9 5 9 ,6 2 5 3.2X $ 4 .2 6 22.9X 13.7X 135 ,7 7 4 3 ,3 9 4 .3 5 0 2.8X O.SX $ 2 0 .0 9 19.6X 1 6 .6X 9 4 ,4 1 9 2 ,3 6 0 ,4 7 5 1 3 ,7 1 6 3 4 2 ,9 0 0 O.AX $ 1 4 .9 0 1 3 .1X 15.7% 1 9 ,5 6 9 4 8 9 ,2 2 5 O.AX O.SX $ 6 .6 * 2 1 .3X 1 6 .IX 9 2 ,6 3 3 2 ,3 1 5 ,8 2 5 1 5 ,7 3 6 3 9 3 ,4 0 0 O.AX $ 5 .3 1 15.8X 8 . OX 2 3 ,6 7 6 5 9 1 ,9 0 0 0.5X 0.2X $ 7 .5 7 10.8X - 1 0 . AX 7 3 ,7 * 0 1 ,8 * 3 ,5 0 0 4 ,4 9 8 112,450 O .U $ 4 .2 7 5.4X -1 2 .3 X 17,471 436 ,7 7 5 O.AX 2 * 1 ,4 5 0 0.2X $ 6 .5 3 2 5 .OX 28.3X 3 8 ,6 0 * 9 6 5 ,1 0 0 8 ,9 5 8 2 2 3 ,9 5 0 0.2X $ 6 .0 6 21.3% 27.4X 12 ,1 2 9 3 0 3 ,2 2 5 O.SX 8 0 ,2 7 5 0.1X $ 3 .0 6 20.6X 2 7 . OX 1 5 ,5B* 3 8 9 ,6 0 0 2 ,0 * 6 5 1 ,1 5 0 O .U $ 1 .9 5 13.9X *4.1% 3 ,6 8 8 9 2 ,2 0 0 O .U O.SX $ 1 0 .8 6 2 5 .5X 15.9X 1 2 5 ,5 1 8 3 ,1 3 7 ,9 5 0 2 8 ,2 9 8 7 0 7 ,4 5 0 o.ex $ 9 .6 1 21.5% S.7X 3 1 ,3 7 9 784 ,4 7 5 0.7X 2 0 ,0 9 7 5 0 2 ,425 1 2 * ,930 3 ,1 2 3 ,2 5 0 MANISTEE 18,501 * 6 2 ,5 2 5 MARQUETTE 19,6 9 3 * 9 2 ,3 2 5 MASON 7 ,9 8 5 199,625 MECOSTA 9 ,6 5 8 MENOMINEE 3 ,211 3 1 ,9 * 8 7 9 8 ,7 0 0 MACOMB MIDLAND 3.2X 8 8 S ggggggS ggg S 2 O O CM O im «- m o o 0 * ^ 0 0 0 0 0 0 0 0 0 0.4X O 30.2X O 13.0X g g g 2 S 8 K g S 2 0.2X £ 2.7X 171 3 ft sg *»a o a o >■ 2 „ §1 < o at 588C 88888S888 g K g g g J * S » S S CO Kl ; « a a a a CeM s 2 » S •» 3 x X s' i i 3 IAa s' s's s a s a s a a ' j j s i s g g g Mg g e g X K g a g g g g S g g S g g g o o d o © o « d Od d d o d d d d d d d d d o N o to CM 4* r* 8 Ow*Ot O>0 m < a> ' O N in K l -1.1* 8 a s g 32.2X a -lk sUJ £ 5 KJ 20.9X MM g f * Kl C S S M 26.0X s *5.23 M " 8 8 S g S 8 5 - £ S S N •* S N •■' X 0.5X *19.82 g~'s 126,526 8 3S I l S s i S S S S ^ n B B S *- 13.4X 2 jr *£ K a K S 5 S » m n m IA IM •> l*t 8 in O X v* <- «- n 121.0X I ni c IA N » 25. OX » S 1 ^ 5 ui lU H K ^ «» S.IX a 5 s s'* s a s s' a s a a s 18.8X 3 *0.77 S _i 5 *8.41 Ill Ul 0.1X - 3 ic s SRERRSSRSSS o •* O K O t n C M X ^ x X X K g 2.4X i s § *§* X 3,163,150 * S *” g O 0 N Q N 4 « * f O > « > p «- Al m N n IA •" 8 3 ;1 1 g 1 i § 3 ■ . I _______________ 3 < UJ U » • M § i“ § 2 B I g s i 8 S S 1 1 1 § i 8 I 8 s 2 i 3 a &3 9 i I 29,489,675 1,179,587 114,702,550 4,588,102 49.6X 2 6 .OX 30.8X 29,841,700 12,217,975 497,450 19,898 488,719 57,281,100 1,646,725 65,869 2,291,244 5.2X 2.3X 18.3X WEXFORD 5 83 K _.>• H. _ W WAYNE | VAN 8UREN ! S n A i m « - a q q q N < } » » k < # K f B « l l A K 9 9 o 9 > ,« l A N n IM* N O'* N f * O K N 8 N f * K N UASHTENAU ! i A 0UT/STATE1,193,668 *1 «a in K. «- K. 53SC S 2 £ K S 3 S k 5111 _. s ui ^ 23.1X 5.7X *0.87 0.1X a 2,321 58,025 USE TAX o o o | O | o 1 E E in o in in IM(ooMK e IMin x » o A Ns Oa Ns Ka ge 3Ov k#3 in3 2CO aO 04s 40s k »g 5 s a S K K N A l 0 * <0 N - 's ” * i >» K in i 23 1 in e in mE m OE s £ O in a m E S IMI in I 8 e4# > A > 8 in 4 in oIMe4» 1 in 4# co m m m 3 I0M n T dIMd d d ( M * d »n in 8d 3 m s s' o K e ' s' a s' s' N 4# a s o IME 3 5 8 g 8 g § 4# 8 i in co IA* X*4# CMm« IM > in Ul 04 f co m 04 hin•- CO h. o>l 4IM e «# inMm 4w m 4M # Kl a4* * e 5 4» C © mi 8 3 K E m IM8 K IMC a i K 40 in « 0IA 2E o' < Md 4# in 4 # in * 4 0 o O * * 0 4 *d K in 0 4 *M e ' IdMd 4 # a in in s' m N 4 # 4 0 s' «04 o *” "" Al H M X ggggX m8 X m mg 4# >« me COg S| X g e X a 3 2 ggM X < ■ » rv i 4 # o ol in in X d d in N in in 4 0 o C O # d < # 4 • ” IM4# a o IMd K to MOTEL REVENUES USE SALES YEAR 86(3) USE TAX TAX 1986(4) 94,050 0.1X $9.40 40.7X 15.5X 2,027 50,675 1,126,150 0.7X $8.36 31.IX 20.6X 30,452 761,300 19,225 O.OX $0.40 40.9X -20.3X 449 11,225 232,025 0.1X $30.97 4,012 42.3X 17.5X 100,300 541,025 0.3X $3.43 44.OX 4.4X 8,158 203,950 50,150 O.OX $1.44 41.9X 37.6X 1,037 25,925 15,825,275 10.1X $15.64 27.5X 10.1X 551,234 13,780,850 432,250 0.3X $19.65 67.3X 157.IX 2,451 61,275 192,825 0.1X $11.73 35.9X -4.8X 4,813 120,325 380,800 0.2X $38.62 27.7X 2.6X 11,802 295,050 30,375 O.OX $1.60 29.4X 63.3X 1,290 32,250 76,150 O.OX $11.10 25.4X -4.3X 1,999 49,975 1,626,300 1.0X$108.47 42.ex -7.0X 27,651 691,275 1,396.875 0.9X $8.89 37.IX -18.7X 22.973 574,325 120,775 0.1X $8.47 45.6X 26.9X 3,042 76,050 1,111,775 0.7X $67.90 53.BX -13.6X 10,368 259,200 1,249,175 O.BX $5.48 38.2X -9.5X 34,822 870,550 1,269,050 O.BX $9.14 33.7X -6.0X 32,372 809,300 289,800 0.2X $5.17 47.OX -81.7X 2,657 66,425 179,775 0.1X $4.41 41.IX -19.9X 3.S30 88,250 957,525 0.6XS111.66 51.IX -4.9X 12,462 311,550 204,850 0.1X $2.88 27.IX 3.2X 7,804 195,100 82,625 0.1X $1.45 34.2X -71.IX 2,542 63,550 662,050 0.4X $9.91 6S.5X -7.4X 2,775 69,375 3,573,500 2.3X $13.50 30.2X 16.5X 114,747 2,868,675 16,684,425 10.6X $7.14 28.SX 1.5X 566,078 14,151,950 626,025 0.4X $24.94 32.7X 17.5X 13,981 349,525 35,306,450 22.5X 26.8X 9.2X1,233,905 30,847,625 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL B5(4)TO USE USE SALES YEAR 86(4) TAX TAX 1986 O.U $5.06 O.SX $5.65 O.OX $0.24 O.U $13.39 O.EX $1.29 O.OX $0.74 13.7X $13.62 O.U $2.78 O.U $7.32 0.3X $29.92 O.OX $1.70 O.OX $7.29 0.7X $46.11 0.6X $3.65 O.U $5.33 0.3X $15.83 0.9X $3.82 O.SX $5.83 O.U $1.18 O.U $2.16 0.3X $36.33 0.2X $2.74 O.U $1.12 O.U $1.04 2.9X $10.84 14.IX $6.05 0.3X $13.92 30.7X 21.9X 21 .OX 23.9X 18.3X 16.6X 21.7X 24.OX 9.5X 22.4X 21.5X 31.2X 16.7X 18.2X 15.2X 28.7X 12.6X 26.6X 21.5X 10.8X 20.2X 16.6X 2S.8X 26.3X 6.9X 24.2X 24.2X 18.3X 23.4X TOTAL SALES REVENUES 1986 24.6X 9,237 230,925 3.1X 144,926 3,623,150 -38.9X 1,880 47,000 -1.8X 21,966 549,150 59.3X 49,181 1,229,525 -5.5X 4,788 119,700 2.OX 2,300,476 57,511,900 137.3X 25,674 641,850 -9.9X 21,499 537,475 -4.9X 54,996 1,374,900 75.5X 4,137 103,425 -6.0X 11,977 299,425 -6.1X 152,038 3,800,950 -29.4X 150,672 3,766,800 70.7X 10,596 264,900 -49.9X 82,611 2,065,275 -7.6X 130,971 3,274,275 -1.6X 150,471 3,761,775 -70.2X 24,690 617.2S0 33.5X 17,514 437,850 7.4X 74,974 1,874,350 7.0X 30,227 755,675 -11.SX 9,666 241,650 19.6X 40,443 1,011,075 8.7X 473,275 11,831,875 7.0X 2,340,670 58,516,750 16.OX 76,596 1,914,900 3.4X 5,265,559 131,638,975 COUNTY PER PERCENT CHANGE HOTEL/ SALES CAPITA OF TOTAL 65(2>tO MOTEL REVENUES MLES YEAR 86(2) USE TAX 1986(3) TOTAL COUNTY 2S.4X S8.98 13.8X6,286,905 157,172,625 58.731 1,468,267 PERCENT PER PERCENT CHANGE HOTEL/ MLES OF TOTAL CAPITA OF TOTAL 8S(3)tO HOTEL REVENUES USE MLES YEAR 86}]) USE TAX TAX 1986(4) 100.0X 33.6X S13.16 7.0X4,025,512 100,637,800 33,634 840,845 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 85(4)TO USE USE SALES YEAR 86(4) TAX TAX 1986 100.0X 21.SX $7.54 TOTAL SALES REVENUES 1986 3.9X18,737,491 468,437,275 162,312 4,057,811 Ol COUNTY POPULATION HOTEL/ SALES PERCENT PER PERCENT HOTEL/ SALES PERCENT PER PERCENT CHANGE HOTEL/ SALES PERCENT PER PERCENT CHANGE MOTEL REVENUES OF TOTAL CAPITA OF TOTAL MOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q1 TO 02 MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 02 TO 03 SALES SALES SALES YEAR SALES SALES SALES YEAR SALES SALES SALES YEAR TAX TAX TAX TAX TAX TAX 1983(1) 1983(2) 1983(3) ALCONA 1,523 13.6X 9,7*0 38,075 0.1X S3.91 2,334 58,350 0.1X S5.99 20.8X 4,168 0.1X $10.70 53.3X 104,200 37.2X 78.6X ALGER 2,097 15.BX 69,225 9,225 52,425 0.1X SS.68 2,769 0.1X S7.50 20.9X 32.OX 6,717 50.8X 142.6X 167,925 0.2X $18.20 ALLEGAN 81,555 11,918 297,950 0.6X S3.65 19.IX 17,739 443,475 0.8X S5.44 28.4X 34.5% 48.8X 21,555 538,875 0.7X $6.61 21.5X ALPENA 32,315 6,698 167,450 14.6X 10,366 259,150 22.9% 0.4X S5.18 0.4X S8.02 22.6X 54.8X 10,462 261,550 0.3X $8.09 0.9X ANTRIM 299 16,194 7,475 0.0X SO.46 0.4X 16,290 407,250 0.7X $25.15 22.OX 5348.2X 44,628 1,115,700 1.5X $68.90 60.1X 174.OX ARENAC 14,706 6,421 17.6X 237,325 36.9% 160,525 0.3X $10.92 9,493 0.4X $16.14 26.OX 47.8X 13,459 336,475 0.4X $22.88 41.8X BARAGA 8,484 1,074 26,850 23.9X 39,750 0.1X S3.16 1,590 0.1X S4.69 35.3X 48.0X 1,171 26.OX -26.4X 29,275 O.OX $3.45 BARRY 0 O.OX SO.00 O.OX 45,781 0 955 23,875 26.5X O.OX SO.52 ERR 2,573 64,325 0.1X SI.41 71.5X 169.4X 119,881 3,264 81,600 21.4X 4,394 109,850 BAY 0.2X SO.68 -0.2X SO.92 28.7X 34.6X 4,284 107,100 0.1X SO.89 28.OX -2.5X BENZIE 886 22,150 8.OX 68,650 11,205 O.OX SI .98 2,746 0.1X S6.13 24.8X 209.9X 4,779 43.1X 119,475 0.2X $10.66 74.OX 23,091 BERRIEN 171,276 577,275 1.2X S3.37 16.8X 30,308 757,700 31.3X 40,389 1,009,725 1.3X S4.42 22.1X 1.3X $5.90 29.4X 33.3X BRANCH 40,188 769 11.7X 72,200 19,225 O.OX SO.48 2,888 0.1X SI.80 43.8X 275.6X 2,374 59,350 36.OX -17.8X 0.1X $1.48 CALHOUN 1*1,557 11,353 283,825 0.6X S2.01 20.2X 14,706 367,650 26.2X 0.6X $2.60 29.5X 16,088 402,200 0.5X $2.84 28.6X 9.4X CASS *9,499 76 1,900 O.OX SO.04 2.9X 396 9,900 O.OX SO.20 14.9X 421.IX 1,839 *5,975 D.1X SO.93 69.IX 364.4X CHARLVX. 19,907 72,522 1,813,050 3.9X S91.08 37.9X 26,952 673,800 1.1X $33.85 14.IX -62.8X 54,492 1,362,3F0 28.5X 102.2% 1.8X $68.43 CHEBOYGAN 20,649 4,680 117,000 0.2X S5.67 13.7X 6,432 160,800 0.3X S7.79 18. ex 49.7% 164.5X 37.4X 17,013 425,325 0.6X $20.60 CHIPPEUA 29,029 4,053 101,325 0.2X S3.49 12.7X 6,591 164,775 0.3X SS.68 20.6X 62.6X 16,710 417,750 0.5X $14.39 52.2X 153.SX CLARE 23,822 11,519 287,975 0.6X S12.09 21.5X 13,061 326,525 0.6X $13.71 24.4X 13.4X 15,854 396,350 29.6% 0.5X $16.64 21.4X CLINTON 0 O.OX SO.00 O.OX 4,825 55,893 0 193 O.OX SO.09 100.0X 0 ERR 0 O.OX $0.00 O.OX -100.0X CRAWFORD 14,237 O.BX $37.60 18.8X 19,592 489,800 9,465 355,925 25.9X 0.8X $51.75 37.6X 24,641 616,025 0.8X $65.08 32.6X 25.8X DELTA 38,947 9,639 16.2X 15,5*2 388,550 240,975 0.5X S6.19 0.7X S9.98 26.IX 61.2X 21,512 38.4% 537,800 0.7X $13.81 36.IX 260,075 DICKINSON 25,341 10,403 21.7X 11,67* 291,850 12.2% 14,111 0.6X S10.26 0.5X $11.52 24.3X 352,775 0.5X $13.92 29.4X 20.9X EATON *1,231 1,030,775 2.2X $11.67 88,337 26. IX 43,746 1,093,650 1.9X $12.38 27.6X 6.1X 33,219 1.1X $9.40 21.OX •24.IX 830,475 EMMET 22,992 25,267 631,675 1.3X $27.47 15.2X 31,036 775,900 1.3X $33.75 18.6X 22.8% 83,125 2,078,125 2.7X $90.38 49.9X 167.8X GENESSE 450,449 27,642 691,050 21.OX 30,339 758,475 23.OX 1.SX SI.53 1.3X SI .68 9.8X 37,757 943,925 1.2X $2.10 28.6X 24.5% 2,750 23.IX GLADWIN 19,957 68,750 2,779 69,475 23.4X 0.1X S3.44 0.1X $3.48 1.1X 3,217 27.IX 80,425 0.1X $4.03 15.SX GOGEBIC 34,921 9,217 230,425 19,686 873,025 1.9X S44.35 45.7X 0.4X $11.71 12.IX -73.6% 13,360 334,000 0.4X $16.97 17.5X 44.9X GR. TRAV. 54,899 60,659 1,516,475 3.2X $27.62 21.5X 76,106 1,902,650 3.2X $34.66 27.OX 25.3X 80,881 2,022,025 28.7X 6.3X 2.6X $36.83 COUNTY POPULATION HOTEL/ SALES PERCENT PER PERCENT HOTEL/ SALES PERCENT PER PERCENT CHANGE HOTEL/ SALES MOTEL REVENUES OF TOTAL CAPITA OF TOTAL HOTEL REVENUES OF TOTAL CAPITA OF TOTAL Q1 TO 02 MOTEL REVENUES SALES SALES SALES SALES YEAR SALES SALES YEAR SALES TAX TAX TAX TAX TAX 1983(1) 1983(2) 1983(3) GRATOIT AO.UB 450 11,250 O.OX SO.28 16.4X 708 O.OX SO.44 17,700 25.7X 17,800 57.3X 712 129 3,225 3.8X 387 HILLSDALE *2,071 O.OX SO.08 9,675 O.OX 40.23 11.3X 200.OX 1.489 37,225 10.IX 14,599 HOUGHTON 37.872 6,224 155,600 0.3X S4.11 364,975 0.6X 49.64 23.7X 134.6X 26,619 665,475 HURON 36,459 11,919 297,975 0.6X S8.17 17.7X 14,920 373,000 0.6X $10.23 22.1X 25.2X 28,982 724,550 INGHAH 275,520 14,113 352,825 0.8X SI.28 19.3X 18,O U 451,100 0.8X SI.64 24.6X 27.9X 16,967 424,175 IONIA 6,742 168,550 0.4X S3.25 11.IX 17,217 51.815 430,425 0.7X S8.31 28.3X 15S.4X 20,590 514,750 IOSCO 5,217 130,425 19.9X 7,472 0.3X S6.59 43.2% 28.349 0.3X 44.60 186.800 28.5X 9,950 248,750 IRON 13,635 1,264 31,600 0.1X 42.32 13.9X 1,467 0.1X 42.69 36,675 16.IX 16.IX 3,828 95,700 14,429 0.8X S6.67 23.7X 14,859 0.6X 46.87 ISABELLA 54,110 360,725 371,475 24.4X 3.OX 16,897 422,425 22,859 27.8X 20,170 JACKSON 151,495 571,475 1.2X S3.77 504,250 0.9X 43.33 24.6X -11.8X 19,769 494,225 KALAMAZOO 212,378 1.8X 44.90 37,275 931,875 2.OX $4.39 22.3X 41,603 1,040,075 24.8X 11.6X 47,401 1,185,025 KALKASKA 4,401 0.2X S10.05 26.6X 4,126 0.2X S9.42 3,769 10,952 110,025 103,150 25.OX -6.2X 94,225 121,3 U 3,033,600 19.3X 133,627 3,340,675 5.7X $7.52 21.3X 10.IX 174,621 4,365,525 KENT 4U.506 6.SX 46.82 KEUEENAW 2,789 16.OX 2,645 0.1X 433.69 1,963 69,725 0.1X S35.52 66,125 15.2X -5.2X 9,754 243,850 6.5X LAKE 7,711 1,876 46,900 0.1X S6.08 6,569 164,225 0.3X 421.30 22.6X 250.2X 11,087 277,175 20.6X LAPEER 70,038 239 5,975 O.OX 40.09 221 5,525 O.OX 40.08 19.IX -7.5X 446 11,150 20.8X 13,207 0.6X 423.57 is.ex -33.4X 48,538 1,213,450 LEELANAU 14,007 19,845 496,125 1.1X S35.42 330,175 4,151 11.9X 4,589 0.2X 41.28 LENAWEE 89,948 103,775 0.2X SI.IS 114,725 13.IX 10.6X 14,238 355,950 LIV. 100,289 10,461 261,525 29.3X 11,356 283,900 0.5X 42.83 31.8X 0.6X 42.61 8.6X 12,434 310,850 LUCE 6.6S9 1,180 29,500 0.1X S4.43 1.8X 1,623 40,575 0.1X 46.09 2.5X 2,660 66,500 37.5X 3,350 83,750 0.2X 48.23 0.6X 127,350 3,183,750 5.4X4312.81 24.IX 3701.5X 352,492 8,812,300 MACKINAC 10,178 694,600 39,051 2.IX 41.41 27. IX 49,259 1,231,475 2.IX 41.77 34.2X MACOMB 976,275 26.IX 45,057 1,126,425 8,536 213,400 0.5X S9.27 12.9X 9,053 0.4X 49.83 13.7X 6.1X 25,563 MANISTEE 23.019 226.325 639,075 19,701 25.7X 25,176 1.1X 48.49 MARQUETTE 74,101 492,525 1.0X $6.65 629,400 32.9X 27.8X 29,402 735,050 MASON 5,690 142,250 0.3X 45.40 24.IX 6,173 154,325 0.3X 45.85 26.2X 8.5X 180,275 26,365 7,211 MECOSTA 36,961 7,839 195,975 0.4X 45.30 22.3X 13,986 349,650 0.6X 49.46 39.8X 78.4X 11,890 297,250 MENOMINEE 26,201 435 10,875 O.OX 40.42 1.6X 819 O.OX SO.78 2.9X 88.3X 1,786 U,650 20,475 2.5X 19,391 20,188 504,700 1.1X 46.86 33.SX 20,685 517,125 0.9X 47.03 34.3X HIOLANO 73,578 *84,775 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 02 TO 03 SALES SALES YEAR TAX O.OX SO.U O.OX 40.88 0.9X 417.57 0.9X $19.87 0.6X 41.54 0.7X 49.93 0.3X $8.77 0.1X 47.02 0.5X 47.81 0.6X 43.26 1.5X 45.58 0.1X 48.60 5.7X 49.82 0.3X4124.22 0.4X 435.95 O.OX 40.16 1.6X S86.63 0.5X 43.96 0.4X 43.10 0.1X 49.99 11.5X4865.82 1.SX 41.62 O.BX 427.76 1.0X 49.92 0.2X 46.84 0.4X 48.04 0.1X 41.70 0.6X 46.59 25.9X 43.6X 43.3% 43.OX 23.2X 33.9X 37.9X 42.IX 27.8X 24.IX 28.3X 22.SX 27.8X 55.9% 38.IX 38.5X so.ex 4o.ex 34.8X 4.IX 66.6X 31.3X 38.6X 38.4X 30.5X 33.9X 6.4X 32.2X 0.6X 284.8X 82.3X 94.2X -6.0X 19.6X 33.2X 160.9X 13.7X -2.0X 13.9X -8.7X 30.7X 268.8X 68.8X 101.8X 267.5X 210.3X 9.5X 63.9X 176.ex •8.SX 182.4X 16.ex 16.8X -15.OX 118.IX -6.3X POPULATION HOTEL/ SALES PERCENT PER PERCENT HOTEL/ MOTEL REVENUES OF TOTAL CAPITA OF TOTAL MOTEL SALES SALES SALES YEAR SALES TAX TAX TAX 1983(1) 1983(2) MISSAUKEE 10,009 15 375 O.OX SO.04 0.2X 3 12,132 303,300 MONROE - 134,6S9 0.6X S2.25 34.OX 8,693 47,555 3,392 84,800 MONTCALM 0.2X SI.78 32.9X 2,864 MONTH. 7,492 1,386 34,650 0.1X S4.62 8.9X 2,825 MUSKEGON 157,589 15,757 393,925 21.9X 25,883 O.OX S2.50 NEWAYGO 34,917 1,767 44,175 0.1X SI.27 0.5X 2,162 OAKLAND 1,011,793 257,307 6,432,675 13.7X S6.36 30.3X 316,080 22,002 OCEANA 6 150 O.OX SO.01 O.OX 2,041 OGEMAW 16,436 1,241 31,025 0.1X SI .89 9.4X 3,027 3,071 ONTONAGON 9,861 76,775 0.2X S7.79 24.9X 2,988 OSCEOLA 18,928 1,356 33,900 0.1X SI.79 15.2X 1,719 OSCODA 6,858 2,064 51,600 0.1X S7.52 3,319 6.9X OTSEGO 14,993 16,972 424,300 0.9X S28.30 14.5X 12,875 157,174 OTTAWA 37,454 936,350 2.OX S5.96 19.6X 62,137 PRES. IS. 14,267 974 24,350 0.1X SI.71 2.9X 1,886 ROSCOMMON 16,374 16,530 413,250 0.9X $25.24 11.9X 24,401 SAGINAW 228,059 33,166 829,150 1.8X S3.64 21.OX 41,759 ST. CLAIR 138,802 25,477 636,925 1.4X S4.59 21.4X 35,757 ST.JOSEPH 56,083 5,409 135,225 0.3X S2.41 11.8X 17,278 40,789 SANILAC 7,429 185,725 0.4X S4.S5 22.2* 9,357 SCHCRFT. 8,575 387 9,675 O.OX SI.13 2.4X 3,630 25.4* SHIAWASSE 71,140 1,255 31,375 0.1X SO.44 355 TUSCOLA 56,961 1,782 44,550 0.1X SO.78 15.OX 2,428 VAN SUREN 66,814 2,120 53,000 0.1X SO.79 2.4X 10,278 WASHTENAW 264,748 29,927 748,175 1.6X S2.83 5.4X 37,010 WAYNE 2,337,891 365,700 9,142,500 19.5X S3.91 28.9X 429,105 WEXFORD 25,102 8,988 224,700 0.5X $8.95 7,613 2.5X OUT/STATE 243,502 6,087,550 13.OX 20.5X 289,721 COUNTY SALES REVENUES 75 217,325 71,600 70,625 647,075 54,050 7,902,000 51,025 75,675 74,700 42,975 82,975 321,875 1,553,425 47,150 610,025 1,043,975 893,925 431,950 233,925 90,750 8,875 60,700 256,950 925,250 10,727,625 190,325 7,243,025 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL Q1 TO 02 SALES SALES YEAR TAX O.OX 0.4X 0.1X 0.1X 1.1X 0.1X 13.SX 0.1X 0.1X 0.1X 0.1X 0.1X 0.5X 2.6X 0.1X 1.0X 1.6X 1.5X 0.7X 0.4X 0.2X O.OX 0.1X 0.4X 1.6X 18.3X 0.3X 12.3X $0.01 SI .61 $1.51 S9.43 S4.11 $1.55 S7.81 S2.32 $4.60 S7.S8 S2.27 $12.10 $21.47 S9.88 S3.30 $37.26 S4.58 S6.44 $7.70 $5.74 $10.58 SO.12 SI.07 S3.85 S3.49 S4.59 S7.58 O.OX 24.4X 27.8* 18.IX 36.OX 0.6X 37.2X 14.5X 23.OX 24.3X 19.3X 11.1* 11.0X 32.5X 5.SX 17.6X 26.SX 30.OX 37.6X 27.9X 22.2* 7.2X 20.4X 11.4* 6.6X 33.9X 2.IX 24.4X HOTEL/ HOTEL SALES TAX 1983(3) ■80.OX 4 -28.3* 12,125 -15.6X 2,909 103.8X 4,255 64.3X 28,137 22.4X 3,260 22.8X 276,873 33916.7X 8,027 143.9X 5,919 -2.7X 4,657 26.8X 1,542 60.8* 4,538 -24.IX 28,120 65.9X 89,762 93.6X 4,268 47.6X 52,805 25.9X 49,765 40.4X 45,984 219.4X 15,394 26.OX 11,475 838.OX 12,352 -71.7X 312 36.3X 2,322 384.8X 34,682 23.7X 34,789 17.3X 456,908 -15.3* 10,828 19.0X 318,287 SALES REVENUES 100 303,125 72,725 106,375 703,425 81,500 6,921,625 200,675 147,975 116,425 38,550 113,450 703,000 2,244,050 106,700 1,320,125 1,244,125 1,149,600 384,850 286,875 308,800 7,800 58,050 867,050 869,725 11,422,700 270,700 7,957,175 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 02 TO 03 SALES SALES YEAR TAX O.OX 80.01 0.4X S2.25 0.1X SI.53 0.1X $14.20 0.9X $4.46 0.1X $2.33 9.OX $6.84 0.3X $9.12 0.2X $9.00 0.2X $11.81 0.1X $2.04 0.1X $16.54 0.9X $46.89 2.9* $14.28 0.1X $7.48 1.7X $80.62 1.6X $5.46 1.SX $8.28 0.5X $6.66 0.4X S7.03 0.4X $36.01 O.OX $0.11 0.1X $1.02 1.1X $12.98 1.1X $3.29 14.9X $4.89 0.4X $10.78 10.4X O.OX 34.OX 28.2X 27.3* 39.IX 1.0X 32.6* 57.IX 44.9X 37.8X 17.3X 15.2X 24.OX 46.9X 12.5X 38.1X 31.6* 38.6* 33.5X 34.2* 75.5X 6.3X 19.5* 38.5X 6.2X 36.IX 3.OX 26.8X 33.3X 39.5X 1.6X 50.6X 8.7X 50.8X -12.4X 293.3* 95.5X 55.9X •10.3X 36.7X 118.4* 44.5X 126.3X 116.4* 19.2X 28.6X -10.9X 22.6* 240.3X •12.IX -4.4X 237.4X -6.0X 6.5X 42.2X 9.9X COUNTY POPULATION MOTEL/ MOTEL SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL HOTEL SALES SALES TAX TAX PER SALES 198 3 (1 ) TOTAL 111,591 1 9 ,6 8 6 TEAR HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 01 TO0 2 MOTEL SALES SALES TAX TAX PER SALES PERCENT CHANGE YEAR 1 9 8 3 (2 ) 9 ,2 6 2 ,0 7 8 1 ,8 7 7 ,2 3 5 6 6 ,9 3 1 ,3 7 3 COUNTY/AV PERCENT 6 9 2 ,0 9 6 100.0X S 6 .6 1 • ERR I n d i c a t e s D iv is io n b y Z ero 2 6 ,8 1 5 SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 0 2 TO 0 3 SALES SALES TAX TAX PER SALES PERCENT CHANGE YEAR 1 9 8 3 (3 ) 1 9 .3 X 2 ,3 6 9 ,3 3 8 5 8 ,7 3 3 ,6 5 0 ■OUT/STATE F ig u r e s N ot I n c lu d e d I n A verage* HOTEL/ 6 2 0 ,3 6 7 100.0% 26 .2 X S 5 .5 6 2 5 .1 X 3 ,0 7 6 ,2 2 0 7 6 ,8 5 5 ,5 0 0 3 3 ,2 0 6 8 3 0 ,1 0 0 100.0X 31 .6 X $ 7 .6 6 30.9% PERCENT CHANGE TOTAL TOTAL HOTEL/ SALES PERCENT PER MOTEL REVENUES Of TOTAL CAPITA OF TOTAL 03 TO 04 SALES SALES SALES SALES YEAR TAX REVENUES SALES 1983 1983 TAX TAX 1983(4) 79,600 2S.4X -23.6X 11,209 280,225 3.1B4 0.1X S8.17 ALCONA 330,800 0.1X $4.47 12.SX -7S.5X 13,232 ALGER 1,649 41,225 18.OX -47.9X 62,439 1,560,975 11,227 0.5X S3.44 ALLEGAN 280,675 0.8X S14.11 39.9X 18,242 456,050 74.4X 45,768 1,144,200 ALPENA 0.5X $20.04 17.5X -70.9X 74,200 1,855,000 12,983 324,575 ANTRIM 911,125 7,072 0.3X $12.02 19.4X -47.5X 36,445 ARENAC 176,800 14.7X -43.4X 4,498 112,450 663 O.OX $1.95 BARAGA 16.575 89,975 71 O.OX $0.04 2.OX -97.2X 3,599 BARRY 1,775 21.9X -22.OX 15,284 382,100 3,342 0.1X $0.70 83,550 BAY 277,350 24.2X -43.9X 11,094 2,683 67,075 0.1X $5.99 BENZIE 1.8X $6.35 31.7X 7.7X 137,296 3,432,400 43,508 1,087,700 BERRIEN 8.6X *76.IX 164,950 O.OX $0.35 6,598 BRANCH 567 14,175 25.OX -12.9X 56,165 1,404,125 CALHOUN 14,018 350,450 0.6X $2.48 66,525 O.OX $0.18 13.2X •81 .OX 2,661 350 8,750 CASS 1.5X $46.84 19.5X -31.5X 191,266 4,781,650 37,300 932,500 CHARLVX. 855.475 6,094 17.8X -64.2X 34,219 152,350 0.3X $7.38 CHEBOYGAN 799,900 4,642 0.2X $4.00 14.5X -72.2X 31,996 CHIPPEUA 116,050 0.5X $13.85 24.6X -16.8X 53,632 1,340,800 13,198 329,950 CLARE 4,825 0 O.OX $0.00 O.OX 193 CLINTON 0 ERR 17,220 0.7X $45.48 22.8X -30.1X 75,690 1,892,250 CRAUFORO 430,500 21.6X •40.3X 59,543 1,488,575 12,850 321,250 0.5X $8.25 DELTA 24.5X -16.6X 47,957 1,198,925 O.SX $11.61 DICKINSON 11,769 294,225 1.7X $11.34 40,058 1,001,450 25.3X 20.6X 158,254 3,956,350 EATON 1.1X $29.36 16.2X -67.5X 166,430 4,160,750 27,002 675,050 EMCT 1.5X $2.01 27.4X 36,181 -4.2X 131,919 3,297,975 GENESSE 904,52S 297,300 26.5X 3,146 78,650 0.1X $3.94 -2.2X 11,892 GLADWIN O.BX $23.93 24.7X 1,908,525 18,843 41.OX 76,341 GOGEBIC 471,075 22 .ex 2.7X $29.32 -20.4X 282,033 7,050,825 GR. TRAV. 64,387 1,609,675 COUNTY HOTEL/ SALES PERCENT PER PERCENT CHANGE HOTEL/ MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 83(1)TO MOTEL SALES SALES SALES YEAR 84(1) SALES TAX TAX TAX 1984(1) 1984(2) 32,875 0.1X $3.38 11.2X -13.A 2,795 1,315 25,925 O.OX $2.81 3,731 1,037 5.6X -50.5% 0.6X $3.86 12,588 314,700 17.7X 5.6X 19,605 0.3X $4.92 21.9% -5.0X 159,125 7,843 6.36S 0.7X $23.78 18.5X 5052.2% 15,012 15,405 385,125 0.2X $7.83 6,068 4,605 115,125 14.9X -28.3X O.OX $2.36 1,409 800 20,000 14.8% -2S.5X 0 O.OX $0.00 O.OX 409 0 ERR 70,550 0.1X $0.59 20.6X -13.5X 3,693 2,822 0.1X $3.84 2,455 1,723 43,075 11.9X 94.5% 864,550 1.5X $5.05 34,582 25.5X 49.8X 29,949 16,125 O.OX $0.40 9.4X -16.1% 2,201 645 21.2% 15.6% 16,602 13,126 328,150 0.6X $2.32 15.5% 69.A 3,225 O.OX $0.07 210 129 3.5X $98.96 37.8X 8.A 24,771 78,799 1,969,975 0.2X $5.59 5,131 4,613 115,325 18.6X -1.4X 0.2X $3.67 11.0% 4,257 106,425 5.OX 8,354 297,325 0.5X $12.48 21.8X 3.A 12,853 11,893 0 O.OX $0.00 O.OX 2 0 ERR O.BX $45.88 17,370 434,250 21.4X 22.OX 20,920 249,600 0.4X $6.41 20.2X 3.6X 14,634 9,984 0.5X $10.64 10,786 269,650 24.7% 3.A 11,625 1.0X $6.22 549,475 21.7X -46.A 26,243 21,979 1.3X $31.17 28,664 716,600 24.6% 13.4X 19,180 34,642 866,050 1.5X $1.92 17.6X 25.3X 45,156 0.1X $3.06 2,427 61,150 26.3X -11.1X 2,446 54.2% 11.SX 1.7X $49.43 8,269 38,925 973,125 3.4X $34.64 76,060 1,901,500 19.IX 25.4% 113,162 SALES REVENUES 69,875 93,275 490,125 196,075 375,300 151,700 35,225 10.22S 92,325 61,375 748,725 55,025 415,050 5,250 619,275 128,275 208,850 321,325 50 523,000 365,850 290,625 656,075 479,500 1,128,900 60,675 206,725 2,829,050 PERCENT OF TOTAL SALES TAX 0.1X 0.1X O.A 0.3X 0.6X O.A 0.1X O.OX 0.1X 0.1X 1.1% 0.1X 0.6X O.OX 0.9X O.A 0.3X 0.5X O.OX O.A 0.6X 0.4X 1.A O.A 1.A 0.1X 0.3X 4.3X PERCENT CHANGE TOTAL TOTAL PERCENT PER HOTEL/ SALES REVENUES OF TOTAL CAPITA OF TOTAL 03 TO 04 SALES SALES MOTEL SALES SALES TEAR TAX REVENUES SALES TAX 1983 1983 TAX 1983(4) 23.6X 22,000 O.OX SO.54 32.OX 2,750 68,750 GRATOIT 080 41.2X -5.5X 0.1X SO.84 3,412 85,300 HILLSDALE 1,407 35,175 0.6X S9.29 22.9X -47.2X 61,508 1,537,700 HOUGHTON 14,066 351,650 11,558 17.2X -60.1X 67,379 1,684,475 HURON 288,950 0.5X S7.93 42.2X 73,255 1,831,375 INGHAM 603,275 1.0X $2.19 32.9X 24,131 26.7X •21.3X 60,760 1,519,000 IONIA 405,275 0.7X $7.82 16,211 13.7X -63.9X 26,228 IOSCO 89,725 0.1X $3.17 655,700 3,589 0.1X $4.65 27.9X -33.8X 227,375 IRON 2,536 63,400 9,095 24.IX •13.IX 60,874 1,521,8S0 ISABELLA 367,225 0.6X $6.79 14,689 O.BX $3.19 23.5X -2.3X 82,111 2,052,775 JACKSON 19,313 482,825 24.6X •13.IX 167,467 4,186,675 KALAMAZOO 41,188 1,029,700 1.7X $4.85 25.6X 12.3X 16,528 413,200 KALKASKA 105,800 0.2X $9.66 4,232 13.8X 628,282 15,707,050 8.2X $11.17 31.6X KENT 198,690 4,967,250 KEUEENAU 0.1X $28.82 13.OX -76.8X 17,451 436,275 2,263 56,575 32.8X -13.9X 29,075 726,875 238,575 0.4X $30.94 LAKE 9,543 -43.5X 28,950 O.OX $0.09 1,158 LAPEER 6,300 21 .ex 252 14.6X -71.2X 95,581 2,389,525 LEELANAU 13,991 349,775 0.6X $24.97 32.4X -20.5X 34,925 857,425 LENAWEE 282,975 0.5X $3.15 11,319 0.5X $2.98 33.4X -3.9X 35,718 1,154,950 L1V. 11,947 298,675 173,250 0.1X $5.51 2.3X -44.8X 65,095 1,467 36,675 LUCE 11.JX •83.IX 529,023 13,570,600 2.5XS146.47 MACKINAC 59,632 1,490,800 1.7X 144,117 4,479,950 31.8X MACOMB 1.9X $1.65 45,831 1,145,775 0.4X S11.68 16.2X -57.9X 66,209 1,347,550 MANISTEE 10,750 268,750 30.IX •21.6X 76,614 2,433,400 1.0X $7.78 MARQUETTE 23,057 576.425 535,225 9.9X -67.6X 23,605 2,335 58,375 0.1X $2.21 MASON 956,150 0.2X $3.06 12.9X -61.9X 35,118 MECOSTA 113,275 4,531 111,075 S.IX -21.4X 27,764 1,403 35,075 0.1X $1.34 MENOMINEE 41 .OX 27.5X 60,266 2,124,700 618,100 1.0X $8.40 MIDLAND 24,724 COUNTY HOTEL/ SALES PERCENT PER PERCENT CHANGE HOTEL/ SALES REVENUES OF TOTAL CAPITA OF TOTAL 83(1)T0 MOTEL REVENUES MOTEL SALES SALES SALES YEAR 84(1) SALES TAX TAX TAX 1984(1) 1984(2) O.OX $0.36 587 14,675 19.4X 30.4X 1,023 25,575 25,375 O.OX $0.60 50.IX 686.ex 1,015 1 25 0.6X $8.62 13,057 326,425 19.6X 109.8X 15,678 391,950 9,340 233,500 0.4X $6.40 16.6X -21.6X 12,592 314,800 31,037 775,925 1.4X $2.82 22.IX 119.9X 35,269 881,725 17,684 442,100 O.BX $8.53 30.5X 162.3X 20,825 520,625 3,355 83,875 0.1X $2.96 4,074 18.2X -35.7X 101,850 1,633 40,825 0.1X $2.99 17.7X 29.2X 2,327 58,175 347,850 13,914 0.6X $6.43 17.5X -3.6X 20,702 517,550 16.920 423,000 O.BX $2.79 23.OX •26.0X 19,715 492,875 1.8X $4.65 39,530 988,250 20.8X 6.OX 66,909 1,672,725 0.1X $7.41 3,067 3,245 81,125 22.6X -26.3X 76,675 167,116 4,177,900 7.5X $9.40 22.IX 37.7X 181,302 4,532,550 2,586 64,650 0.1X $32.93 is . ex -7.3X 2,443 61,075 19,325 O.OX $2.51 773 7.2X -58.BX 2,519 62,975 737 18,425 O.OX $0.26 29.ex 208.4X 938 23,450 21,363 534,075 1.0X $38.13 21.7X 7.6X 14,567 364,175 9,342 233,550 0.4X $2.60 309,450 16.IX 125.IX 12,378 226,900 9,076 0.4X $2.26 20.2X •13.2X 10,271 256,775 O.OX $3.29 877 21,925 11.9X -25.71 1,574 39,350 60,550 2,422 0.1X $5.95 0.5X -27.7X 48,101 1,202,525 41,825 1,045,625 1.9X $1.51 7.IX 49,584 1,239,600 17.8X 0.4X $8.56 313,700 7,883 197,075 15.3X -7.6X 12,548 488,200 0.9X $6.59 19,528 1B.9X -0.9X 27,679 691,975 33,225 0.1X $1.26 70,500 1,329 9.OX -76.6X 2,820 4,366 109,150 0.2X $2.95 192,300 14.4X -44.3X 7,692 18,250 O.OX $0.70 1,029 730 17.BX 67.8X 25,725 554,325 1.0X $7.53 24.6X 9.8X 22,586 564,650 22,173 PERCENT OF TOTAL SALES TAX O.OX O.OX 0.6X O.SX 1.3X O.BX 0.2X 0.1X O.SX O.SX 2.6X 0.1X 6.9X 0.1X 0.1X O.OX 0.6X 0.5X 0.4X 0.1X 1.8X 1.9X 0.5X 1.1* 0.1X 0.3X O.OS 0.9X HOTEL/ SALES PERCENT PER PERCENT CHANGE TOTAL TOTAL MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 03 TO 04 SALES SALES SALES SALES TAX REVENUES SALES YEAR TAX TAX 1983 1983 1983(A) MISSAUKEE SO O.OX S0.00 O.OX *50.OX 9,666 600 2 9,644 241,100 0.4X SI.79 27.0X -20.5X 35,661 1,064,850 MONROE MONTCALM 2,711 67,775 0.1X SI.43 26.3X -6.8X 10,300 296,900 O.OX S3.79 240,025 MONTM. 1,135 28,375 7.3X -73.3X 15,578 MUSKEGON 7,112 177,800 0.3X SI.13 9.9X -74.7X 71,947 1,922,225 2,170 54,250 0.1X SI.55 0.6X -33.4X 334,308 233,975 NEUAYGO OAKLAND 13.SX S8.08 18.1X 850,355 29,434,475 327,119 8,177,975 38.5X 95 2,375 O.OX S0.11 0.7X -98.8X 14,069 254,225 OCEANA 354,550 OGEMAU 3,995 99,875 0.2X S6.08 30.3X -32.5X 13,184 ONTONAGON 342,825 2,997 74,925 0.1X $7.60 24.3X -35.6X 12,316 3.8X 8,921 155,425 OSCEOLA 1,600 40,000 0.1X $2.11 17.9X -5.2X 29,862 355,625 OSCOOA 4,304 107,600 0.2X $15.69 14.4X 19,941 498,525 o.ex $33.25 17.OX -29.IX 117,095 1,947,700 OTSEGO 2.4X $9.40 59,128 1,478,200 30.9X -34.1X 191,332 6,212,025 OTTAWA 0.1X $3.47 227,675 PRES. IS. 1,979 49,475 5.8X -53.6X 34,068 ROSCOMMON 26,940 673,500 1.1X $41.13 19.4X -49.OX 138,709 3,016.900 1.9X $4.93 -9.6X 157,653 4,241,575 SAGINAW 44,973 1,124,325 28.5X 1.4X $5.94 ST. CLAIR 32,963 824,075 27.7X -28.3X 119,074 3,504,525 ST.JOSEPH 11,856 296,400 0.5X $5.29 25.8X •23.OX 45,992 1,248,425 0.3X $4.85 904,300 7,911 23.6X -31.IX 33,516 SANILAC 197,775 540,600 0.2X $15.32 SCHCRFT. 5,255 131,375 32. IX -57.5X 16,371 SHIAWASSE 50 O.OX $0.00 O.OX -99.4X 4,940 48,100 2 238,750 TUSCOLA 3,018 75,450 0.1X $1.32 25.3X 30.OX 11,913 VAN SUREN 134,525 0.2X $2.01 6.OX -84.5X 90,055 1,311,525 5,381 WASHTENAW 42,975 1,074,375 1.8X $4.06 7.7X 23.5X 557,500 3,617,525 -0.2X1,264,454 42,687,175 455,774 11,394,350 18.8X $4.87 36.OX WAYNE 0.5X $12.69 3.5X 17.7X 365,272 1,004,250 WEXFORD 12,741 318,525 6.1X1,189,353 29,733,825 14.OX 28.4X OUT/STATE 337,843 8,446,075 COUNTY HOTEL/ SALES PERCENT CHANGE HOTEL/ PERCENT PER MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 83(1)T0 MOTEL SALES SALES SALES YEAR 84(1) SALES TAX TAX TAX 1984(1) 1984(2) 2 50 2.0X -86.7X O.OX $0.00 89 21,286 532,150 1.0X $3.95 24.2X 75.5X 23,266 1,372 34,300 15.7X -59.6X 0.1X $0.72 949 1,164 29,100 0.1X $3.88 20.7X -16.OX 1,549 2,268 56,700 11.2X -85.6X 0.1X $0.36 3,921 3,566 89,150 34.6X 101.6X 0.2X $2.55 1,909 310,061 7,751,525 13.9X $7.66 23.5X 20.5X 345,308 343 8,575 4.9X 5616.7X O.OX $0.39 1,370 4,496 112,400 0.2X $6.84 28.4X 262.3X 4,469 3,019 75,475 0.1X $7.65 19.2X -1.7X 2,903 1,178 29,450 0.1X $1.56 19.9X -13.IX 1,638 2,254 56,350 0.1X $8.22 14.9X 9.2X 3,628 19,722 493,050 0.9X $32.89 22.OX 16.2X 21,051 43,962 1,099,050 2.OX $6.99 16.IX 17.4X 74,556 1,234 30,850 0.1X $2.16 9.5X 26.7X 2,464 21,777 544,425 18.9X 31.7X 25,808 1.0X S33.2S 35,162 879,050 1.6X $3.85 22.4X 6.OX 40,098 22,695 567,375 1.0X $4.09 16.4X -10.9X 37,135 10,822 270,550 22.7X 100.IX 11,268 O.SX $4.82 7,229 180,725 0.3X $4.43 22.IX -2.7X 8,521 100,125 4,005 0.2X $11.68 15.OX 934.9X 5,715 36 900 O.OX $0.01 37.5X -97.IX 24 1,399 34,975 0.1X $0.61 29.9X -21.5X 1,475 3,538 88,450 0.2X $1.32 7.IX 66.9X 11,639 32,698 817,450 1.5X $3.09 20.IX 9.3X 42,031 317,954 7,948,850 14.2X $3.40 23.2X -13.IX 368,948 17,244 431,100 O.SX $17.17 32.4X 91.9X 9,311 20.OX 19.7X 84.2X 546,178 448,596 11,214,900 SALES REVENUES 2,225 581,650 23,725 38,725 98,025 47.725 8,632,700 34,250 111,725 72,575 40,950 90,700 526,275 1,363,900 61,600 645,200 1,002,450 928,375 281,700 213,025 142,875 600 36,875 290,975 1,050,775 9,223,700 232,775 13.654,450 PERCENT OF TOTAL SALES TAX O.OX 0.9X O.OX 0.1X 0.1X 0.1X 13.2X 0.1X 0.2X 0.1X 0.1X 0.1X O.BX 2.8X 0.1X 1.0X 1.5X 1.4X 0.4X 0.3X 0.2X O.OX 0.1X 0.4X 1.6X 14.IX 0.4X 20.SX COUNTY TOTAL HOTEL/ SALES HOTEL REVENUES SALES TAX 1983(4) 2,419,348 60,483,700 COUNTY/AV 25,078 626,959 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 03 TO 04 SALES SALES YEAR TAX 100.0X 24.9X S5.62 TOTAL SALES TAX 1983 TOTAL SALES REVENUES 1983 HOTEL/ SALES HOTEL REVENUES SALES TAX 1984(1) -21.3X9,720,161 243,004,025 2,238,085 55,952,125 106,715 2,569,520 21,560 539,003 PERCENT PER PERCENT CHANGE HOTEL/ SALES OF TOTAL CAPITA OF TOTAL 83(1>TO HOTEL REVENUES SALES SALES YEAR 84(1) SALES TAX TAX 1984(2) 100.0X 20.5X S4.83 19.2X2,622,143 65,553,575 25,012 625,291 PERCENT OF TOTAL SALES TAX 100.0X COUNTY ALCONA ALGER ALLEGAN ALPENA ANTR1H ARENAC BARAGA BARRY BAY BENZIE BERRIEN BRANCH CALHOUN CASS CHARLVX. CHEBOYGAN CHIPPEUA CLARE CLINTON CRAWFORD DELTA DICKINSON EATON EWIET GENESSE GLADWIN GOGEBIC GR. TRAV. PERCENT CHANGE HOTEL/ SALES PER PERCENT PER PERCENT CHANGE HOTEL/ CAPITA OF TOTAL B3(2)TO MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 83(3>TO MOTEL SALES YEAR 84(2) SALES SALES SALES YEAR 84(3) SALES TAN TAX TAX 1984(3) 1984(4) *7.17 23.7X 19.8% 4,575 114,375 0.1% *11.74 38.8% 3,105 9.8% *10.11 20.1* 34.7% 11,805 295,125 63.7% 75.7% 0.3% *31.99 1,945 *6.01 27.6X 10.5% 23,512 587,800 33.1% 0.7% *7.21 9.1% 15,414 *6.07 27.0% -24.3% 8,724 218,100 30.0% -16.6% 0.3% *6.75 6,137 *23.18 18.0% -7.8% 41,631 1,040,775 50.0% -6.7% 11,174 1.2% *64.27 *10.32 19.6% -36.1% 12,681 317,025 0.4% *21.56 40.9% •5.8% 7,655 *4.15 26.0% -11.4% 2,388 59,700 44.1% 103.9% 0.1% *7.04 814 *0.22 1,922 48,050 17.1% -57.2% 0.1% *1.05 80.4% -2S.3% 59 *0.77 26.9% -16.0% 3,728 93,200 0.1% *0.78 27.2% -13.0% 3,481 *5.48 16.9% -10.6% 7,735 193,375 53.2% 61.9% 0.2% *17.26 2,622 22.0% -1.2% 39,467 *4.37 986,675 29.1% -2.3% 31,843 1.2% *5.76 *1.37 32.0% -23.8% 3,395 64,875 0.1% *2.11 49.3% 43.0% 645 *2.93 26.8% 12.9% 18,470 461,750 0.5% *3.26 29.9% 14.8X 13,661 *0.11 0.0% *0.13 25.2% -47.0% 254 6,350 30.5% -86.2% 240 11.9% -8.1% 63,343 1,583,575 *31.11 1.9% *79.55 30.4% 16.2% 41,297 20.7% -20.2% 10,558 *6.21 263,950 42.5% -37.9% 4,520 0.3% *12.78 *7.19 21.5% 26.7% 19,962 499,050 51.4% 19.5% 0.6% *17.19 6,289 *13.49 23.5% -1.6% 16,278 406,950 0.5% *17.08 29.8% 2.7% 13,585 *0.00 0.6% -99.0% 0 0 0.0% *0.00 0.0% ERR 322 *55.26 25.8% 6.8% 25,032 625,800 0.7% *66.12 30.9% 1.6% 17,668 *9.39 29.6% -5.8% 15,354 31.1% -28.6% 383,850 0.5% *9.86 9,413 *11.47 26.6% -0.4% 12,285 307,125 0.4% *12.12 26.1% -12.9% 8,953 25.9% -40.0% 21,464 *7.43 536,600 0.6% *6.07 21.1% •35.4% 31,820 16.4% -38.2% 52,521 1,313,025 *20.86 45.0% -36.8% 16,386 1.5% *57.11 *2.51 22.9% 48.8% 65,758 1,643,950 33.4% 74.2% 51,474 1.9% *3.65 *3.04 26.1% -12.7% 3,206 80,150 0.1% *4.02 34.5% -0.3% 1,207 *10.50 11.5% -10.3% 10,654 266,350 14.8% -20.3% 13,929 0.3% *13.53 *51.53 28.4% 48.7% 135,343 3,383,575 4.0% *61.63 33.9% 67.3% 74,114 SALES REVENUES 77,625 48.625 385,350 153,425 279,350 191,375 20,350 1,475 87,025 65,550 796,075 16,125 341,525 6,000 1,032,425 113,000 157,225 339,625 8,050 441,700 235,325 223,825 795,500 409,650 1,286,850 30,175 348,225 1,852,850 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(4>TO SALES 84(4) SALES SALES YEAR TAX TAX 1984 0.1% *7.97 0.1% *5.27 0.6% *4.73 0.2% *4.75 0.4% *17.25 0.3% *13.01 0.0% *2.40 0.0% *0.03 0.1% *0.73 0.1% *5.85 1.2% *4.65 0.0% *0.40 0.5% *2.41 0.0% *0.12 1.6% *51.86 0.2% *5.47 0.2% *5.42 O.SX *14.26 O.OX *0.14 0.7% *46.67 0.4% *6.04 0.3X *8.83 1.2% *9.01 0.6% *17.82 1.9% *2.86 0.0% *1.51 0.5% *17.69 2.8% *33.75 26.3X 10.5% 21.7% 21.1% 13.4% 24.7% 15.0% 2.5% 25.4% 18.0% 23.4% 9.4% 22.1% 28.8% 19.8% 18.2% 16.2% 24.9% 99.4% 21.8% 19.1% 20.5% 31.3% 14.0% 26.1% 13.0% 19.4% 18.6% -2.5% 18.0% 37.3% -66.4% -13.9% 8.2% 22.8% -16.9% 4.2% -2.3% -26.8% 13.8X -2.5% •31.4% 10.7% -25.8% 35.5% 2.9% ERR 2.6% -26.7% -23.9% -20.6% -39.3% 42.3% -61.6% •26.1% 15.1% 11,790 18,518 71,119 29,069 83,222 31.009 5,411 2,390 13,724 14,535 135,841 6,886 61,859 833 208,210 24,822 38,862 54,609 324 80,990 49,385 43,649 101,506 116,751 197,030 9,286 71,777 398,679 TOTAL SALES REVENUES 1984 294,750 462,950 1,777,975 726,725 2,980,550 775,225 135,275 59,750 343,100 363,375 3,396,025 172,150 1,546,475 20,825 5,205,250 620,550 971,550 1,365,225 8,100 2,024,750 1,234,625 1,091,225 2,537,650 2,918,775 4,925,750 232,150 1,794,425 9,966,975 HOTEL/ HOTEL SALES TAX 1985(1) 627 1,303 11,539 4,959 20,828 4,786 608 0 2,349 2,036 24,541 847 6,789 359 89,814 4,191 4,940 11,616 349 16,206 6,164 8,370 28,425 19,472 48,211 2,320 39,697 61,014 COUNTY 33.BX O.OX 23.6X 22.4X 25.IX 35.9X 22.IX 25.3X 26.OX 26.7X 35.2X 21.3* 24.OX 14.9X 23.5X 37.9X 14.8X 21.4* 22.BX 21.3* 10.0X 21.IX 24.3X 26.8* 19.OX 25.4X 25.IX 25.IX 1984(3) 44.5X 511 -99.7X 1,010 7.4X 23.5B2 -15.6X 22,555 95.5* 39,496 21.0* 13,182 -45.5X 7,562 58.6* 2,687 39.3* 23,873 -2.3X 19,344 60.8* 33,526 -25.7* 4,108 35.7X 174,140 -7.6X 8,842 -61.7X 4,684 324.4* 659 10.3* 52,008 169.7* 16,704 -9.6* 12.126 -3.0* 3,581 -62.2* 365,927 0.7X 67,153 38.6X 22,972 9.9* 31,775 7.583 -54.3* -45.OX 9,484 25.6* 1,115 9.2* 20,142 PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL B3(3)TO MOTEL 84(3) SALES SALES SALES YEAR TAX TAX 1984(4) 12.775 16.9X -28.2X O.OX $0.32 907 25,250 O.OX $0.60 49.9X -32.2* 0 589,550 0.7X $15.57 35.4X -11.4X 14,246 40.2* -22.2X 11,616 563,875 0.7X $15.47 987,400 1.2X $3.58 28.2X 132.ex 34,480 329,550 0.4X $6.36 22.7X -36.OX 6,253 IP,9,050 0.2X $6.67 41.IX -24.OX 3,413 67.175 0.1X $4.93 29.2X -29.8X 2,561 596,825 0.7X $11.03 30.OX 41.3* 21,178 483,600 0.6X $3.19 26.2X -2.1X 17,744 838,150 1.0* $3.95 17.6X -29.3* 50,379 102,700 0.1X $9.38 28.6X 9.OX 3,950 4.353,500 5.IX $9.79 23.OX -0.3X 233,658 221,050 0.3XS112.61 54.IX -9.4X 2,480 117,100 0.1X $15.19 43.8X -57.8X 2,725 26.7* 47.8* 16,475 O.OX $0.24 138 1,300,200 1.5X $92.83 52.8X 7.IX 10,512 417,600 28.9X 17.3X 19,428 0.5* $4.64 26.9* -2.5X 13,555 0.4X $3.02 303,150 89,525 0.1X $13.44 48.6X 34.6* 1,342 76.2* 9,148,175 3.8* 63,867 10.8X$898.82 1,678,825 2.0* $2.42 28.6X 49.OX 75,917 574,300 44.SX -10.1X 8,240 0.7X $24.95 794,375 0.9X $10.72 30.7X 8.1* 24,352 189,575 0.2X $7.19 51.2X 5.2X 3,088 237,100 31.3* -20.2* 8,768 0.3X $6.41 27,875 O.OX $1.06 27.2X -37.6X 1,226 22.4* 503,550 0.6X $6.84 3.9* 25,058 SALES REVENUES 22,675 0 356,150 290,400 862,000 156,325 85,325 64,025 529,450 443,600 1,259,475 98,750 5,841,450 62,000 68,125 3,450 262,800 485,700 338,875 33.5S0 1,596,675 1,897.925 206,000 608,800 77,200 219,200 30,650 626,450 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL SALES 84(4) SALES YEAR TAX O.OX S0.56 O.OX $0.00 O.SX $9.40 0.4X $7.97 1.3X $3.13 0.2X $3.02 0.1X $3.01 0.1X $4.70 O.SX $9.78 0.7X $2.93 1.9X $5.93 0.1X $9.02 8.8* $13.14 0.1X $31.58 0.1X $8.83 O.OX $0.05 0.4X $18.76 0.7X $5.40 O.SX $3.38 0.1X $S.04 2.4X$156.B8 2.9X $2.73 0.3* $8.95 0.9X $8.22 0.1X $2.93 0.3X $5.93 O.OX $1.17 O.OX $8.51 30.OX O.OX 21.4* 20.7X 24.6* 10.8X 18.5X 27.8X 26.6X 24.IX 26.5X 27.5X 30.9X 15.2X 25.5* S.6X 10.7X 33.6X 30. IX 18.2X 13.3X 32.4X 16.0X 23.6X 20.8X 28.9X 29.9X 27.9X o GMTOIT $0.63 HILLSDALE $0.00 HOUGHTON $10.35 HURON $8.63 INGHAM $3.20 IONIA $10.05 $3.59 IOSCO IRON $4.27 ISABELLA $9.56 JACKSON $3.25 KALAMAZOO $7.88 KALKASKA 87.00 KENT $10.20 KEUEENAU $31.11 $8.17 LAKE LAPEER $0.33 LEELANAU $26.00 LENAUEE $3.44 LIV. $2.56 LUCE $5.91 MACKINAC $118.IS MACOMB $1.78 MANISTEE $13.63 MARQUETTE $9.34 MASON $2.67 MECOSTA $5.20 MENOMINEE $0.98 MIDLAND $7.67 SALES REVENUES a PER PERCENT CHANGE HOTEL/ CAPITA OF TOTAL 83(2)10 MOTEL SALES TEAR 84(2) SALES TAX 3.IX -100.0X 1.3X 0.5X 42.9* •61.4X -4.9X 1.0X 44.2X -8.1X 22.3X -6.7X 17.6X 9.6X -71.4* •45.2X -24.9X 71.6* 13.5X -8.5X 7.IX 65.6X -23.3* 5.6X 32.2* 93.5X -12.6X 1.4X TOTAL SALES TAX 1984 TOTAL SALES REVENUES 1984 3,028 75,700 2,026 50,650 66,563 1,664,075 56,103 1.402,575 140,282 3,507,050 57,944 1,448,600 18,404 460,100 9,208 230,200 79,667 1,991,675 73,723 1,843,075 190,344 4,758,600 14,370 359,250 756,216 18,905,400 16,351 408,775 10,701 267,525 2,472 61,800 98,450 2,461,250 57,852 1,446,300 45,028 1,125,700 7,374 184,350 480,317 12,007,925 234,479 5,861,975 51,643 1,291,075 103,334 2,583,350 14,820 370,500 30,310 757,750 4,100 102,500 89,959 2,248,975 HOTEL/ MOTEL SALES TAX 1985(1) 579 464 9,056 11,452 43,772 4,881 4,572 980 22,850 18,579 32,802 4,195 181,342 3,265 848 641 22,465 16,620 9,888 834 1,588 52,632 6,569 17,515 1,447 7,179 473 22,106 COUNTY MISSAUKEE MONROE MONTCALM MONTM. MUSKEGON NEWAYGO OAKLANO OCEANA OGEMAW ONTONAGON OSCEOLA OSCCOA OTSEGO OTTAWA PRES. IS. ROSCOMMON SAGINAW ST. CLAIR ST.JOSEPH SANILAC SCHCRFT. SHIAWASSE TUSCOLA VAN SUREN WASHTENAW WATNE WEXFORD OUT/STATE PER PERCENT CHANGE HOTEL/ SALES PERCENT PER PERCENT CHANGE HOTEL/ CAPITA OF TOTAL 83(2)TO MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO MOTEL SALES YEAR 84(2) SALES SALES SALES YEAR 84(3) SALES TAX TAX TAX 1984(3) 1984(4) SO.22 87.3X 2866.7X 8 200 O.OX $0.02 7.8X 100.0X 3 $4.32 26.5X 167.6X 22,273 556,825 25.4X 83.7X 21,004 0.7X $4.14 S0.50 4,320 10.9X -66.9X 108,000 0.1X $2.27 49.4X 4S.5X 2,096 2,342 $5.17 27.SX -45.2X 58,550 41.6X '45.OX 0.1X $7.82 581 SO.62 19.4X -84.9X 10,669 266,725 0.3X $1.69 52.8X -62.IX 3,338 SI .37 18.SX -11.7X 3,144 78,600 0.1X $2.25 30.5X -3.6X 1,692 S8.53 9.2X 328,403 8,210.075 24.9X 18.6X 333,276 26.2X 9.7X $8.11 $1.56 19.6X -32.9X 4,862 121,550 0.1X $5.52 69.6X -39.4X 414 $6.80 4,333 28.3X 47.6X 108,325 0.1X $6.59 27.4X -26.8X 2,519 5,889 S7.36 18.4X -2.8X 147,225 0.2X $14.93 37.4X 26.5X 3,927 1 ,6 6 6 S2.16 27.6X -4.7X 41,650 O.OX $2.20 28.IX 8 .OX 1,449 $13.23 9.3X 5,178 23.9X 129,450 0.2X $18.88 34.2X 14.IX 4,092 $35.10 23.5X 63.5X 32,566 814,150 1.0X $54.30 36.4X 1S.8X 16,135 $11.86 27.4X 20.OX 96,311 2,407,775 2.BX $15.32 35.4X 7.3X 57,443 5,393 $4.32 134,825 0.2X $9.45 41.7X 26.4X 3,834 19.IX 30.6X £39.40 22.4X 5.BX 42,046 1,051,150 1.2X $64.20 36.4X -20.4X 25,822 $4.40 26.4X -16.6X 40,286 2S.5X -4.0X 41,497 1,037,425 1.2X $4.55 $6.69 26.BX 3.9X 45,576 1,139,400 1.3X $8.21 32.9X -0.9X 33,234 $5.02 23.7X -34.8X 13,380 334,500 0.4X $5.96 28.IX -13.IX 12,130 $5.22 26.IX -8.9X 10,134 253,350 0.3X $6.21 31 .OX •11.7X 6,775 $16.66 45.7X -1.4X 21.4X 57.4X 12,183 304,575 0.4X $35.52 4,764 $0.01 12 25.OX -93.2X 300 O.OX $0.00 12.5X -96.2X 24 $0.65 917 22,925 O.OX $0.40 19.6X -60.5X 889 31.5X -39.3X $4.36 23.4X 13.2X 31,062 776,550 0.9X $11.62 62.6X -10.4X 3,411 $3.97 25.9X 13.6X 42,143 1,053,575 1.2X $3.98 26.OX 21.IX 45,485 $3.95 26.9X *14.OX 325,222 8,130,550 9.6X $3.48 23.7X -28.8X 358,673 $9.27 23.9X 17.4X 13,932 17.SX 22.3X 12,707 317,675 0.4X $12.66 29.4X 109.7X 610,208 24.OX B8.5X 667,598 16,689,950 19.7X SALES REVEHUES 75 525,100 52,400 14.S2S 83,450 42,300 8,331,900 10.3S0 62,975 98,175 36,225 102,300 403,375 1,436,075 95,850 645,550 1,007,150 830,850 303,250 169,375 119,100 600 22,225 85,275 1,137,125 8,966,825 348,300 15,255,200 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(4)TO SALES SALES SALES YEAR 84(4) TAX TAX 1984 O.OX $0.01 O.SX $3.90 0.1X $1.10 O.OX $1.94 0.1X $0.53 0.1X $1.21 12.SX $8.23 O.OX $0.47 0.1X $3.83 0.1X $9.96 0.1X $1.91 0.2X $14.92 0.6X $26.90 2.2X $9.14 0.1X $6.72 1.0X $39.43 1.5X $4.42 1.3X $5.99 0.5X $5.41 0.3X $4.15 0.2X $13.89 O.OX $0.01 O.OX $0.39 0.1X $1.28 1.7X $4.30 13.5X $3.84 O.SX $13.88 23.OX 2.9X 23.9X 24.OX 10.3X 16.5X 16.4X 25.3X 5.9X 15.9X 25.OX 24.4X 27.OX 18.OX 21.IX 29.7X 22.4X 25.7X 24.OX 25.5X 20.7X 17.9X 2S.0X 19.OX 6.9X 28.OX 26.2X 26.2X 26.9X TOTAL SALES REVENUES 1984 50.OX 2,550 102 117.8X 87,829 2,195,725 -22.7X 8,737 218,425 •48.SX 5,636 140,900 •53.IX 20,196 504,900 -22.OX 10,311 257,775 1.9X 1,317,048 32,926,200 33S.8X 6,989 174,725 -36.9X 15,817 395,425 31 .OX 393,450 15,738 -9.4X 5,931 148,275 -4.9X 15,152 378,800 89,474 2,236,850 -19.IX -2.8X 272,272 6,806,800 93.7X 323,125 12,925 -4.1X 115,453 2,886,325 -10.4X 157,043 3,926,075 O.BX 138,640 3,466,000 2.3X 47,600 1,190,000 -14.4X 32,659 816,475 26,667 -9.3X 666,675 1100.OX 96 2,400 -70.5X 4,680 117,000 49,650 1.241.2S0 -36.6X 5.8X 162,357 4,058,925 -21.3X 1,370,797 34,269,92S 9.3X 53,194 1,329,850 80.6X 2,272,580 56,814,500 HOTEL/ HOTEL SALES TAX 1985(1) 53 12,462 2,118 1,274 6,244 1,093 314,408 925 2,573 7,089 1,347 2,861 16,633 41,907 2,208 20,209 25,869 26,187 11,970 6,799 3,674 503 764 2,399 54,045 267,844 20,763 735,672 COUNTY PER PERCENT CHANGE HOTEL/ SALES REVENUES CAPITA OF TOTAL 83(2)TO HOTEL SALES YEAR 84(2) SALES TAX 1984(3) TOTAL COUNTY/AV S5.60 24.OX 11.6X3,394,210 84,833,250 32,831 821,269 PERCENT PER PERCENT CHANGE HOTEL/ SALES OF TOTAL CAPITA OF TOTAL B3(3)TO HOTEL REVENUES SALES SALES YEAR 84(3) SALES TAX TAX 1984(4) 31. IX 100.0X S7.36 10.4X2,658,289 66,457,223 24,676 616,892 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(4)TO SALES SALES 84(4) TAX SALES YEAR TAX 1984 100.OX 24.4X SS.S3 TOTAL SALES REVENUES 1984 HOTEL/ HOTEL SALES TAX 1985(1) 9.9X10,912,727 272,818,175 2,506,84) 104,098 2,602,454 21,339 COUNTY SALES REVENUES ALCONA 15,675 32,575 ALGER 288,475 ALLEGAN ALPENA 123,975 520,700 ANTRIM 119,650 ARENAC 15,200 BARAGA BARRY 0 BAY 58,725 50,900 BENZIE 613,525 BERRIEN BRANCH 21,175 CALHOUN 169,725 CASS 8,975 CHARLVX. 2,245,350 CHEBOYGAN 104,775 123,500 CHIPPEWA 290,400 CURE . CLINTON 8,725 CRAWFORD 405,150 DELTA 154,100 DICKIHSON 209,250 EATON 710,625 486,800 EIMET GENESSE 1,205,275 58,000 GLADWIN 992,425 GOGEBIC GR. TRAV. 1,525,350 PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 84(1>TO MOTEL SALES SALES YEAR 85(1) SALES TAX TAX 1985(2) O.OX S1.61 10.4X -52.3X 995 0.1X $3.53 8 .8X 25.7X 2,784 0.5X $3.54 18.IX -8.3X 16,613 0.2X $3.84 17.8X -22.IX 7,634 O.SX $32.15 20.4X 35.2X 14,848 0.2X $8.14 26.6X 3.9X 9,747 O.OX $1.79 13.8X -24.OX 639 O.OX $0.00 O.OX 641 ERR 0.1X $0.49 23.2X -16.8X 2,745 0.1X $4.54 8.2X 1B.2X 4,276 1.0X $3.58 19.8X -29.OX 30,915 O.OX $0.53 3.7X 31-3X 7,455 0.3X $1.20 18.2X -48.3X 9,008 O.OX $0.18 16.SX 178.3X 367 3.6X$112.79 37.3X 14.OX 32,634 0.2X $5.07 16.IX -9.1X 5,658 0.2X $4.25 8 .6X 16.OX 11,895 0.5X $12.19 21.5X -2.3X 13,018 O.OX $0.16 272 56.2X ERR 0.6X $42.81 19.4X -6.7X 24,919 0.2X $3.96 13.OX -3S.3X 8,807 0.3X $8.26 25.7X -22.4X 7,929 25.OX 29.3X 28,950 1.1X $8.04 O.SX $21.17 17.5X -32.IX 17,094 1.9X $2.68 23.8X 39.2X 52,329 0.1X $2.91 2,761 20.9X -5.2X 1.6X $50.41 50.9X 2.OX 8,229 2.4X $27.78 18.6X -19.BX 82,462 SALES REVENUES 24,875 69,600 415,325 190,850 371,200 243,675 15,975 16,025 68,625 106,900 772,875 186,375 225,200 9,175 815,850 141,450 297,375 325,450 6,800 622,975 220,175 198,225 723,750 427,350 1,308,225 69,025 205,725 2,061,550 PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 84(2)T0 MOTEL 85(2) SALES SALES SALES YEAR TAX TAX 1985(3) O.OX $2.55 16.5X -64.4X 3,191 0.1X $7.54 18.BX -25.4X 9,420 0.6X $5.09 26.IX -1S.3X 19,968 0.3X $5.91 27.4X -2.7X 8,038 0.5X $22.92 14.5X -1.1X 48,772 0.3X $16.57 54.1X 60.6X 2,229 O.OX $1.88 14.5X -54.6X 2,008 O.OX $0.35 2S.4X 56.7X 1,863 0.1X $0.57 27.IX -25.7X 2,330 0.2X $9.54 17.2X 74.2X 12,776 1.1X $4.51 25.OX 3.2X 36,063 0.3X $4.64 32.4X 238.7X 8,095 0.3X $1.59 24.IX -45.7X 11,492 O.OX $0.19 16.9X 74.8X 1,179 1.2X $40.98 13.5X 31.7X 67,144 0.2X $6.85 21.7X 10.3X 10,916 0.4X $10.24 20.8X 42.4X 31,366 0.5X $13.66 1.3X 15,676 24.1X O.OX $0.12 43.8X13500.0X 0 0.9X *65.82 29.8X 19.1X 25,296 0.3X $5.65 18.6X -39.BX 25,377 O.SX $7.82 24.3X -31.8X ' 8,695 1.0X $8.19 25.5X 10.3X 21,655 0.6X $18.59 15.4X -10.9X 58,133 1.6X $2.90 25.9X 15.9X 53,616 0.1X $3.46 24.9X 13.8X 2,899 O.SX $10.45 10.6X -0.5X 13,570 2.9X $37.55 25.1X -27.IX 138,560 SALES REVENUES 79,775 235,500 499,200 200,950 1,219,300 55,725 50,200 46,575 58,250 319,400 901,575 202,375 287,300 29,475 1,678,600 272,900 784,150 391,900 0 632,400 634,425 217,375 541,375 1,453,325 1,340,400 72,475 339,250 3,464,000 PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL B4(3)TO MOTEL SALES SALES YEAR 85(3) SALES TAX TAX 1985(4) S2.9X -30.3X 0.1X $8.19 1,219 O.SX $25.53 63.8X -20.2X 1,267 31.3X -15.IX 15,645 0.6X $6.12 0.2X $6.22 28.SX -7.9X 7,234 1.4X $75.29 47.8X 17.2X 17,665 0.1X $3.79 12.4X -82.4X 1,245 0.1X $5.92 45.4X -15.9X 1,165 0.1X $1.02 7S.SH -3.1X 22 23.0X -37.5X 0.1X $0.49 2,719 0.4X $28.51 51.3X 6S.2X 5,805 1.0X $5.26 29.2X -6.6X 32,153 0.2X $5.04 3S.2X 138.4X 6,578 0.3X $2.03 30.7X -37.8X 1 0 ,1 1 0 O.OX $0.60 54.SX 364.2X 267 1.9X $84.32 27.9X 6.0X 51,436 0.3X $13.22 5,300 41.9X 3.4X 0.9X $27.01 54.8X 57.IX 9,016 0.4X $16.45 29.IX -3.7X 13,620 O.OX $0.00 O.OX ERR 0 0.7X $66.81 30.3X 1.1X 17,118 0.7X $16.29 S3.7X 65.3X 6,898 0.2X $8.58 26.7X -29.2X 7,621 0.6X $6.13 19.OX 0.9X 34,715 1.7X $63.21 52.2X 10.7X 16,566 1.5X $2.98 26.5X -18.5X 48,002 0.1X $3.63 26.IX -9.6X 3,108 0.4X $17.23 17.4X 27.4X 16,464 4.OX $63.10 42.IX 2.4X 46,802 CD VO COUNTY SALES REVENUES GRATOIT HILLSDALE HOUGHTON HURON INGHAM IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEENAU LAKE LAPEER LEELANAU LENAUEE L1V. LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE MIDLAND PERCENT PER PERCENT CHANGE MOTEL/ SALES PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 84(1)TO MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 84(2)TO HOTEL SALES SALES YEAR 85(1) SALES SALES SALES YEAR 65(2) SALES TAX TAX TAX TAX 1985(2) 1985(3) 14,475 O.OX SO.36 30.2X -1.4X 437 10,925 O.OX SO.27 22.8X -57.3X 483 11,600 O.OX SO.26 12.2X •S4.3X 412 10,300 O.OX SO.24 10.8X41100.0X 1,266 2S.2X 10.IX 27,884 226,400 0.4X S5.98 13.2X •30.6X 17,261 431,525 0.6X $11.39 286,300 20.OX 22.6X 14,912 0.5X S7.85 372,800 O.SX $10.23 26.OX 18.4X 19,521 1,094,300 1.7X S3.97 29.4X 41.OX 35,753 893,825 1.3X $3.24 24.IX 1.4X 34,770 122,025 0.2X S2.36 18.IX -72.4X 8,317 207,925 0.3X $4.01 30.8X -60.IX 8,664 114,300 0.2X $4.03 15.7X 36.3X 7,195 179,875 0.3X $6.35 24.6X 76.6X 10,540 24,500 2,140 O.OX SI .80 13.3X -40.OX 53,500 0.1X $3.92 28.9X -8.0X 2,266 571,250 0.9X $10.56 22.9X 64.2X 24,606 615,150 24.7X 1B.9X 30,971 0.9X $11.37 464,475 0.7X $3.07 18.OX 9.8X 28,964 724,100 28.OX 46.9X 32,458 1.0X $4.78 820,050 661,700 1.3X $3.86 28.9X -17.OX 26,468 0.9X $3.12 23.4X -60.« 25,428 0.2X $9.58 188,300 104,875 16.SX 29.3X 7,532 0.3X $17.19 29.7X 145.6X 6,773 4,533,550 7.2X $10.20 22.SX 6.5X 208,097 5,202,425 7.3X $11.70 25.8X 14.8X 184.S1B 81,625 0.1X $41.58 17.7X 26.3X 2,877 71,925 0.1X $36.64 15.6X 17.8X 9,936 2 1 ,2 0 0 O.OX $2.75 12.4X 9.7X 2,679 66,975 0.1X $8.69 39.OX 6.4X 2,103 617 15,425 O.OX $0.22 16,025 O.OX $0.23 27.OX -13.OX 25.9X -34.2X 622 5.2X 19,609 561,625 0.9X $40.10 19.IX 490,225 0.7X $35.00 16.7X 34.6X 57,725 415,500 26.3X 77.9X 19,380 484,500 0.7X $5.39 30.6X 56.6X 17,445 0.7X $4.62 247,200 0.4X $2.46 47.0X B.9X 8,035 200,675 0.3X $2.00 38.2X -21.8X 1,652 20,850 O.OX $3.13 10.2X -4.9X 1,440 36,000 0.1X $5.41 17.6X •8.SX 4,644 39,700 0.1X $3.90 0.3X -34.4X 127,117 3,177,925 4.5X$312.23 23.7X 164.3X 347,293 1,315,800 2.1X $1.89 26.6X 25.8X 50,670 1,266,750 1.8X $1.82 25.6X 2.2X 43,501 27.8X 27.OX 25,527 164,225 Q.3X $7.13 11.5X -16.7X 15,941 398,525 0.6X $17.31 437,675 0.7X $5.91 17.3X -10.3X 27,736 693,400 1.0X $9.36 27.3X 0.2X 34,823 36,175 9.6X 8.9X 3,736 93,400 0.1X $3.54 24.8X 32.5X 7,483 0.1X $1.37 9,469 21.2X 64.4X 8,916 222,900 0.3X $6.03 26.3X 1S.9X 179,475 0.3X $4.86 1,144 O.OX $0.45 14.IX -35.2X 28,600 O.OX $1.09 34.2X 11.2X 908 11,825 24.2X -0.3X 23,236 580,900 O.SX $7.90 25.4X 2.9X 20,673 552,650 0.9X $7.51 SALES REVENUES 12,075 31,650 697,100 488,025 869,250 216,600 263,500 56,650 774,275 811,450 635,700 169,325 4,612,950 248,400 52,575 15,550 1,443,125 436,125 41,300 116,100 8,682,325 1,087,525 638,175 870,575 187,075 236,725 22,700 516,825 PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 84(3)T0 HOTEL SALES SALES YEAR 85(3) $ALE$ TAX TAX 1985(4) O.OX $0.30 25.2X •5.5X 416 O.OX $0.75 33.2X 25.3X 1.674 O.SX $18.41 40.8X 18.2X 14,197 0.6X $13.39 34.IX -13.5X 11,426 1.0X $3.15 23.4X -12.0X 34,338 0.2X $4.18 32.OX -34.3X 5,171 0.3X $9.29 36.1X 39.4X 6,903 0.1X $4.15 30.7X -15.7X 2,007 0.9X $14.31 31 .OX 29.7X 21,377 0.9X $5.36 31.4X 67.8X 23,274 0.7X $2.99 22.4X -24.2X 28,616 0.2X $15.46 26.7X 64.9X 6,895 S.3X $10.38 22.9X 6 .OX 231,487 0.3U126.54 53.8X 12.4X 2,407 0.1X $6.82 30.7X -55.IX 1,231 O.OX $0.22 26.2X -5.6X 498 1.7X$103.03 49.OX 11.OX 17,903 0.5X $4.85 27.6X 4.4X 9,867 7.9X -86.4X O.OX $0.41 1,460 0.1X $17.44 56.8X 29.7X 1,262 9.9X$653.05 64.8X -5.1X 59,806 21.9X -35.2X 51,392 1.2X $1.57 44.5X 11.IX 0.7X $27.72 9,294 1.0X $11.75 34.3X 9.6X 21,362 0.2X $7.10 49.6X -1.3X 2,424 0.3X $6.40 27.9X -0.2X 8,327 O.OX $0.87 27.IX -18.6X 822 2.6X 25,410 0.6X $7.02 22.6X COUNTY SALES REVENUES PERCENT PER PERCENT CHANGE HOTEL/ SALES PERCENT PER PERCENT CHANGE HOTEL/ SALES PERCEHT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 84(1 >T0 HOTEL REVENUES OF TOTAL CAPITA OF TOTAL B4(2)T0 MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 84(3)T0 HOTEL SALES SALES YEAR 65(2) SALES SALES SALES YEAR 65(1) SALES SALES SALES YEAR 85(3) SALES TAX TAX TAX TAX TAX TAX 1985(2) 1985(3) 1985(4) 1,325 O.OX SO.13 103 2,575 O.OX $0.26 17.9X 15.7X 9.2X 2550.OX 177 4,425 O.OX $0.44 30.7X 2112.5X MISSAUKEE 243 355,525 25.1X -38.9X 14,051 311.550 O.SX $2.31 22.OX -41.5X 14,221 0.5X $2.64 351,275 0.4X $2.61 24.8X -36.9X 15,943 MONROE 0.1X $1.11 17.3X 54.4X 3,208 80,200 0.1X $1.69 26.2X 238.OX 3,585 0.1X $1.88 29.3X -17.0X 52,950 89,625 3,345 MONTCALM 2,392 59,800 29.3X 54.4X 0.1X $10.21 31,850 0.1X $4.25 15.6X 9.5X 0.1X $7.98 3,059 76,475 37.5X 30.6X 1,437 MONTM. MUSKEGON 153,575 0.2X $0.97 16.5X S6.7X 14,471 0.4X $2.30 156,100 0.2X $0.99 18.8X 175.3X 6,143 361,775 43.6X 35.6X 6,320 31.5X -25.4X NEWAYGO O.OX $0.78 14.7X -69.IX 1,914 47,850 0.1X $1.37 25.7X 0.3X 2,344 58,600 0.1X $1.68 2,087 27,325 23.ex •1.8X 348,629 8,715,725 12.OX $8.38 12.5X $7.77 22.IX 1.4X 339,173 8,479,325 10.0X $8.61 24.5X 6.2X 422,003 OAKLAND 7,660,200 0.1X $2.97 28.2X 91.IX 5,428 135,700 58.4X 11.6X 23,125 O.OX $1.05 9.9X 169.7X 2,618 65.4S0 0.2X $6.17 328 OCEANA 0.1X $5.94 26.3X •12.6X 5,214 35.IX 20.3X 0.1X $3.91 17.3X -42.8X 3,907 97,675 130,350 0.1X $7.93 3,177 OGEMAW 64,325 17.7X -49.1X 2,604 65,100 0.1X $6.60 31.2X -55.8X ONTONAGON 52,225 0.1X $5.30 25.IX -30.SX 1,479 36,975 0.1X $3.75 2,166 1,864 24.IX 11.9X 0.1X $1.78 17.6X 14.3X 2,367 59,175 0.1X $3.13 30.9X 44.5X 46,600 0.1X $2.46 2,087 OSCEOLA 33,675 27.8X 3.5X 4.814 120,350 71.525 0.1X $10.43 21.2X 26.9X 3,754 93,850 0.1X $13.68 0.1X $17.55 35.7X -7.0X 2,051 OSCODA 21.4X -28.IX 24,508 612,700 0.7X $40.87 34.7X -24.7X 14,397 415,825 0.7X $27.73 23.5X -15.7X 15,141 378,525 0.5X $25.25 OTSEGO 16.5X -4.7X 66,802 1,670,050 2.4X $10.63 26.3X -10.4X 95,764 2,394,100 2.7X $15.23 37.7X -0.6X 49,843 1,047,675 1.7X $6.67 OTTAWA 0.1X $3.87 16.6X 78.9X 2,608 65,200 0.1X $4.57 19.6X 5.8X 6 ,0 1 2 150,300 0.2X $10.53 45.IX 11.SX 2,502 55,200 PRES. IS. 735,300 1.0X $44.91 26.8X 14.OX 35,360 884,000 1.0X $53.99 32.2X -15.9X 24,878 O.BX $30.86 18.4X -7.2X 29,412 ROSCOMMON 505,225 20.ex -26.4X 30,443 761,075 1.1X $3.34 24.4X -24.IX 35,055 876,375 1.0X $3.84 28.1X -15.5X 33,237 SAGINAW 646,725 1.0X $2.84 32.IX 4.7X 33,945 17.6X 15.4X 40,686 1,017,150 1.4X $7.33 27.4X 9.6X 47,697 1,192,425 1.4X $8.59 ST. CLAIR 654,675 1.0X $4.72 0.6X $7.05 30.1X 40.4X 14,725 368,125 0.4X $6.56 28.0X 10.IX 10,093 0.5X $5.34 22.8X 10.6X 15,823 395,575 ST.JOSEPH 299,250 24.ex 18.6X -5.9X 9,064 226,600 0.3X $5.56 6.4X 11,159 278,975 0.3X $6.84 30.6X 10.IX 9,482 SANILAC 169,975 0.3X $4.17 6,754 168,850 0.2X $19.69 26.BX 18.2X 9,514 237,850 0.3X $27.74 37.7X •21.9X 5,264 91.8S0 0.1X $10.71 14.6X -8.3X SCHCRFT. 300 O.OX $0.00 1.2X O.OX 16 O.OX $0.18 49.6X 1297.2X 483 12,075 O.OX $0.17 47.6X 1912.5X 12 SHIAUASSE 12,575 980 24,500 25.OX 6.9X 1,116 19,100 1,065 26,625 O.OX $0.47 27.IX -27.8X O.OX $0.43 TUSCOLA O.OX $0.34 19.5X -45.4X 0.4X $4.51 30.4X 484,500 0.6X $7.25 48.8X -37.6X 5,891 0.1X $0.90 6 .OX •32.2X 12,062 301,550 3.6X 19,380 VAN SUREN 59,975 1.5X $4.89 24.SX 22.ex 54,798 1.8X $4.81 24.1X 21.2X 51,743 1,293,575 WASHTENAW 1,351,125 2.2X $5.10 25.5X 65.3X 50,962 1,274,050 11.6X $3.53 27.9X -10.5X 285,134 7,128,350 8.2X $3.05 24.IX -12.3X 298,393 6,696,100 22.7X -15.8X 330,152 8,253,800 WAYNE 10.7X $2.86 273,075 0.4X $10.88 16.5X 17.3X 15,629 390,725 0.4X $15.57 23.6X 23.OX 18,866 WEXFORD 519,075 O.SX $20.68 31.4X 20.4X 10,923 26.OX 23.2X 876,524 23.6X 25.8X 23.1X 33.7X 822,634 20,565,850 OUT/STATE18.391.BOO 29.3X 23.2X 64.OX 730,224 18,255,600 COUNTY SALES REVENUES TOTAL tt.671.17S COUNTY/AV 533.686 PERCENT PER PERCENT CHANGE HOTEL/ SALES OF TOTAL CAPITA Of TOTAL 86(1 >TO MOTEL REVENUES SALES SALES YEAR 85(1) SALES TAX TAX 1985(2) 100.0X 21.6X S6.78 12.0X2,836,736 70,868,350 25,356 633,889 PERCENT PER PERCENT CHANGE HOTEL/ SALES OF TOTAL CAPITA OF TOTAL 86(2)TO HOTEL REVENUES SALES SALES YEAR 85(2) SALES TAX TAX 1985(3) 100.0X 26.2X S5.68 8.1X3,691,219 87,280,675 32,152 803,791 PERCENT PER PERCENT CHANGE HOTEL/ OF TOTAL CAPITA OF TOTAL 86(3)TO MOTEL SALES SALES YEAR 85(3) SALES TAX TAX 1985(6) 100.0X 29.8X $7.20 2.9X2,881,638 26,156 COUNTY SALES REVENUES 30,475 ALCONA 31,675 ALGER 391,125 ALLEGAN 160,850 ALPENA ANTR1N 441,625 31,125 ARENAC 29,125 BARAGA 550 BARRY 67,975 BAY 145,125 BEN2IE 603,825 BERRIEN 164,450 BRANCH 252,750 CALHOUN 6,675 CASS CHARLVX. 1,285,900 CHEBOYGAN 132,500 225,400 CHIPPEWA 340,500 CLARE 0 CLINTON 427,950 CRAWFORD 172,450 DELTA DICKINSON 190,525 867,675 EATON 414,150 EHHET GENESSE 1,200,050 77,700 GLADWIN 411,600 GOGEBIC GR. TRAV. 1,170,050 PERCENT CHANGE TOTAL PERCENT PER OF TOTAL CAPITA OF TOTAL 64(4)TO SALES 65(4) TAX SALES SALES YEAR TAX 1985 O.OX S3.13 O.OX S3.43 O.SX S4.80 0.3X S5.60 0.6X S27.27 O.OX S2.12 O.OX S3.43 O.OX SO.01 0.1X SO.57 0.2X S12.9S 1.IX S4.69 0.2X S4.09 0.4X SI.79 O.OX SO.13 1.BX S64.60 0.2X S6.42 0.3X S7.76 O.SX S14.29 O.OX SO.OO 0.6X S45.21 0.2X S4.43 O.SX S7.52 1.2X $9.82 0.6X $18.01 1.7X $2.66 0.1X S3.89 0.6X S20.91 1.6X $21.31 20.2X B.6X 24.5X 26.OX 17.3X 6.9X 26.4X 0.9X 26.8X 23.3X 26.OX 28.6X 27.OX 12.3X 21.3X 20.3X 15.8X 25.3X O.OX 20.5X 14.6X 23.4X 30.5X 14.9X 23.7X 28.OX 21.IX 14.2X -60.7X •34.9X 1.SX 17.9X 58.IX -83.7X 43.1X -62.7X -21.9X 121.4X 1.0X 919.8X -26.OX 11.3X 24.6X 17.3X 43.4X 0.3X -100.OX -3.1X -26.7X -14.9X 9.IX 1.1X -6.7X 157.5X 1B.2X -36.9X 6,032 14,774 63,765 27,865 102,113 18,007 4,420 2,526 10,143 24,893 123,672 22,975 37,399 2,172 241,028 26,065 57,217 53,930 621 83,539 47,246 32,615 113,745 111,265 202,158 11,088 77,960 328,838 TOTAL SALES REVENUES 1985 HOTEL/ SALES HOTEL REVENUES SALES TAX 1986(1) 150,800 0 3,097 369,350 14,163 1,594,125 696,625 6,058 23,744 2,552,825 444 450,175 110,500 812 263 63,150 2,527 253,575 3,071 622,325 19,681 3,091,800 5,944 574,375 934,975 8,856 54,300 97 93,564 6,025,700 4,188 651,625 1,430,425 . 3,727 10,956 1,348,250 0 15.525 2,088,475 15,552 4,854 1,181,150 6,155 815,375 30,537 2,843,625 19,476 2,781,625 41,888 5,053,950 277,200 2,391 1,949,000 40,312 51,541 6,220,950 PERCENT PER PERCENT CHANGE HOTEL/ SALES PERCENT PER OF TOTAL CAPITA OF TOTAL 85<1)TO HOTEL REVENUES OF TOTAL CAPITA SALES SALES YEAR 8 6 (1) SALES SALES SALES TAX TAX TAX 1986(2) 0 O.OX -100.0% O.OX SO.OO 495 12,375 O.OX $1.27 77,425 0.1X S8.39 22.2X 137.7X 2,696 0.1X $7.31 67,400 0.5X S4.34 20.2X 22.7% 19,331 0.6X $5.93 354,075 483,275 151,450 0.2X S4.69 15.4X 22.2X 8,355 0.3X $6.46 208,875 1.2X $63.64 593,600 0.9X $36.66 16.5X 14.OX 41,224 1,030,600 1 1 ,1 0 0 O.OX $0.75 17.3X -90.7X 847 21,175 O.OX $1.44 20,300 O.OX $2.39 20.7X 33.6% 1,392 34,800 O.OX $4.10 6.9X ERR O.OX $0.76 6,575 O.OX SO.14 1,391 34,775 12.3X 0.1X $0.97 63,175 0.1X $0.53 7.6X 4,637 115,925 0.1X $6.85 12.1X 50.8X 0 .2% $12.29 76,775 5,510 137,750 492,025 0.7X $2.87 14.3X •19.8X 34,187 1.0X $4.99 654,675 148,600 20.4X 601.8X 0.3X $5.24 0.2X $3.70 6,418 210,450 221,400 0.3X $1.56 15.7X 30.4X 11,086 277,150 O.SX $1.96 18.2% -73.OX 2,425 O.OX $0.05 159 O.OX $0.08 3,975 4.2% 30,818 2,339,100 3.5XS117.50 38.8X 770,450 0.9X $38.70 104,700 0.2X $5.07 17.OX -0.1X 6,091 0.2X $7.37 152,275 0.1X $3.21 7.7X -24.6% 10,744 93,175 268,600 O.SX $9.25 273,900 0.4X $13.50 0.4X $11.50 20.5% -5.7X 12,861 321,525 0 O.OX $0.00 O.OX -100.0% 1 O.OX $0.00 25 388,800 0.6X $41.08 19.2X -4.0% 22,003 550,075 0.7X $58.12 121,350 0.2X $3.12 16.OX -21.3% 5,753 143,825 0.2X $3.69 153,875 0.2X $6.07 23.7X •26.5X 6,241 0.2X $6.16 156,025 1.2X $8.64 23.OX 1 .1% $10.11 763,425 7.4X 35,728 893,200 17.5X 486,900 0.7X $21.18 O.OX 16,254 406,350 0.5X $17.67 22.BX -13.IX 49,703 1,242,575 1.5X $2.76 1,047,200 1.6X $2.32 0.1X $3.00 23.4X 2,603 0.1X $3.26 59,775 3.IX 65,075 0 .2% $9.57 54.8X 1,007,800 1.SX $51.19 1.5X 7,533 188,325 2.9% $43.75 2.OX $23.47 12.IX -15.5X 96,064 2,401,600 1,288,525 O O K O IA d O O 0.7X * 7 .3 6 M M M M M N M *• n o d e O.OX * 0 .8 0 i. 8 S 3 8 *52 a *- a - 3 555 5 R 2 8 M X M MX fX- oX ^3 X X 0.1X * 4 .6 6 ii co o* <* in n ^ m •« o> K. • - *# ° K ^ IA «* N v ‘ 0.3X * 6 .1 2 s s n 3 8 3 5 355 8 5 55 O.SX * 8 .9 3 194 o RS O N N d> im m m S K 2 5 5 o> n ni *» q «r *• dd S O«f KCA K0* S IM *5# in * 3 8 3 5 3 M X M g x* • »X# %X» 8 8 8 8 8 8 5 8 8 5 8 8 8 8 8 8 5 8 8 d d d o o o •- d o o o r o dodo m o o d Vi 3s * 541,800 21,025 841 122,950 226,175 9,047 21,672 -2.3X -17.5X 8.7X 23.9X 8 z *7.34 s *0.37 X X O.OX d 8 N. O.BX IM IA 0 » o> . gMK. IO &N 26,467 in in o in in 9 o in o 8 S 58 5 k c 5 8 S S 8 S C S 1 S S K S l S ^ S » § S S ' 8 S a 3 * S ' 5* £ I = E 3 s K R | g g O IA O 661,675 s i s o tr Kl 8 d K IM s g “ IM ' si X co 8 Mf a 8 IM a d X Kl 8 *! 8 ft> © IM 8 ' X X ># Kl 8 d IM IM • 8 d e IM ' * X X X X >r m Kl 8 8 8 Kl UJ in N. eo IM IM ni IM IM IM IM X X 8 8 8 Kl e O t* IM 8 8 8 8 8 O Kl si o Kl * X « 8 8 m in d in t# in 8 8 8 = m IM tO S S S 3 S S U S a S U 3 « ? S S X SSSS8 3 3 3 5 5 8 3 8 3 5 8 5 5 § 8 3 g 8 3 3352 8 5 5 5 8 8 8 5 8 8 8 8 8 5 8 8 8 5 5 8 3 5 5 o o o o o * - o o o o o ~ o a o o o o 80o Om> e< oO A4 l A N O •• d v ^ A t « A i d a u j N XI I M CO n S M « i A o g p 0 0 u i e L A M e e e e o S K K ^ A IA * f O « - K A N A S N « { O ^ > N 0 *• < 3 _ .j * ism >2 o 8 Z z 3j < q uj 8 5 < ; i S g l ; S ? 3 8 * = * 3 ; i i : £ 2 “ 2 ^ S S a v N K i n i A 4 N < A K N O V 5 A N K Q O N K i n 0 a I A A ^ A N d < O O l A < S S ! S s s 3 5 5 A A l t o ! 3 !3 : 2 O - 0 l A m A V N > «# a A N 20,550 in m Kl O IM tr 635,250 $ Kl Kl Kl CQ 33,891 Kl 8 Kl N < im - S Si S § j 5 J I MENOMINEE a S3 3 ? IM IM 3 IM MIDLANO X *•* 8 3 e IM IM Ul E E -5.0X a* Ul <0 5M UJ « a. j 8 d % a KOl* m co .# fT i I 24.6X d a K in •“ •<# in *5.63 X s Kl IM o o in CO o a s s a o* IM 2 E IM oo 0.3X O nT IM IM S 3 a 208,175 S." in m o MECOSTA Kl S o IM £ IM tf o« 15,090 § Kl Kl IM 3 oT 101,136 s Kl m a Kl M CJ IM* a IM Kl tT 0.7X m a fc 60,600 Ul m in m m s I M K t» 531,050 i o IM O B 4) 2,227 442,025 - 5 s a ssH 17,681 0 > d N * f K « N i n » > P N * { e f A N « N 'O A N N a 6 > A N o i A n f o « i M « f a iO Q n N l < > A K i A :r p N A K | < f » N « # M i K O ' 0 * ,‘ ' f N « K l i n i A l A A K l N ^ O l A 2,535,900 oKlT 377,250 m IM •># NASON C IAK IAN MARQUETTE o in o m o o m in o m e E in IM 8 IM IM O* «■# *- cO «■# 8 in m Sf m in s 1 1 IM *# 8 in to IM s' s' in •T K M d* 3 * a IM e Nss N= tO (M a in m K «- «# 8 "" in 55,675 s<< COUNTY SA1.ES PERCENT CHANGE TOTAL TOTAL HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 4 (4 )T 0 SALES PER SALES MOTEL REVENUES OF TOTAL CAPITA OF TOTAL 85(1)TO MOTEL SALES REVENUES SALES PERCENT YEAR 85 (4 } TAX TAX 1985 1985 SALES SALES TAX TAX PER SALES PERCENT YEAR CHANGE HOTEL/ 8 6 (1 ) 1 9 8 6 (1 ) 6 ,0 7 5 MISSAUKEE MONROE MONTCALM MONTH. MUSKEGON O.OX SO.61 4 2 .2 X 8 0 0 0 .OX 3 9 8 ,5 7 5 0 .6 X S 2 .9 6 2 8 . IX 8 3 ,6 2 5 0 .1 X S 1 .7 6 3 5 ,9 2 5 O.OX 158,000 0.2X 0.1X NEUAYGO 5 2 ,1 7 5 OAKLAND TO.,5 5 0 ,0 7 5 SALES PERCENT REVENUES OF TOTAL CAPITA SALES SALES TAX TAX PER SALES 1 9 8 6 (2 ) 576 1 4 ,4 0 0 43 1 ,0 7 5 O.OX $ 0 .1 1 2.6X -1 8 .9 X 396 9 ,9 0 0 O.OX - 2 4 .IX 5 6 ,6 7 7 1 ,4 1 6 ,9 2 5 1 5 ,4 3 8 3 8 5 ,9 5 0 0.6X $ 2 .8 7 23.7X 23.9X 1 7 ,9 9 9 4 4 9 ,9 7 5 O.SX $ 3 .3 4 27.3X 59.6X 1 2 ,2 5 6 3 0 6 ,4 0 0 3 ,0 6 7 7 6 .6 7 5 0.1X $ 1 .6 1 24.5X 44.8X 3 ,8 6 0 9 6 ,5 0 0 0.1X $ 2 .0 3 S 4 .6 0 17.6X 147.3X 8 ,1 6 2 2 0 4 ,0 5 0 1 ,2 3 5 3 0 ,8 7 5 O.OX $ 4 .1 2 1S.0X -3 .1 X 2 ,0 0 7 5 0 ,1 7 5 0.1X $ 6 .7 0 S I . 00 1 9 .OX 89.3X 3 3 ,1 7 8 8 2 9 ,4 5 0 4 ,6 9 6 117,4 0 0 0.2X $ 0 .7 4 16.9X -2 4 .8 X 7 ,4 6 6 1 8 6 ,6 5 0 0 .2 X $ 1 .1 8 S I .4 9 2 8 . IX 2 3 .3X 7 ,4 3 8 1 8 5 ,9 5 0 792 1 9 ,8 0 0 O.OX $ 0 .5 7 14.4X -2 7 .5 X 1 ,7 9 8 4 4 ,9 5 0 0.1X $ 1 .2 9 14.6X S 1 0 .4 3 29.6X 26.6X 1 ,4 2 4 ,2 1 3 3 5 ,6 0 5 ,3 2 5 1 5 .6X $ 1 0 .1 9 2 1 .8X 3 1 . IX 4 1 2 ,2 3 4 1 0 ,3 0 5 ,8 5 0 5 1 2 ,0 2 0 1 2 ,8 0 0 ,5 0 0 $ 0 .9 9 15.5X $ 1 2 .6 5 OCEANA 8 ,2 0 0 O.OX SO.37 3.5X -20.8 X 9 ,2 9 9 2 3 2 ,4 7 5 158 3 ,9 5 0 O.OX $ 0 .1 8 3 . OX -8 2 .9 X 1 ,6 4 3 4 1 ,0 7 5 O.OX OGEMAW 7 9 ,425 0 .1 X $ 4 .8 3 2 1 .4X 2 6 .IX 14,871 3 7 1 ,7 7 5 1 ,8 2 8 4 5 ,7 0 0 0.1X $ 2 .7 8 12.2X - 2 9 . OX 3 ,9 8 3 9 9 ,5 7 5 0.1X $ 6 .0 6 ONTONAGON 5 4 ,1 5 0 0 .1 X S 5 .4 9 2 6 .OX - 4 4 .8X 8 ,3 3 8 2 0 8 ,4 5 0 1 ,7 4 6 4 3 ,6 5 0 0.1X $ 4 .4 3 21 .ex -1 6 .4 X 1 ,5 2 9 3 8 ,2 2 5 O.OX $ 3 .8 8 $ 1 .8 7 OSCEOLA 5 2 ,1 7 5 0.1X $ 2 .7 6 2 7 .2X 4 4 . OX 7 ,6 6 5 191 ,6 2 5 2 ,3 9 1 5 9 ,7 7 5 0.1X $ 3 .1 6 17.6X 77.5X 2 ,8 4 3 7 1 ,0 7 5 0.1X $ 3 .7 6 OSCQOA 5 1 ,2 7 5 0 .1 X S 7 .4 8 15.2X -49.9 X 1 3 ,4 8 0 3 3 7 ,0 0 0 1 ,4 5 2 3 6 ,3 0 0 0.1X $ 5 .2 9 2 1 . IX -4 9 .2 X 1 ,5 5 7 3 8 ,9 2 5 O.OX $ 5 .6 8 OTSEGO 3 5 9,925 0 .5 X $24.01 2 0 .4X -10.8 X 7 0 ,6 7 9 1 ,7 6 6 ,9 7 5 1 4 ,2 5 0 3 5 6 ,2 5 0 0.5X $ 2 3 .7 6 2 3 .OX -1 4 .3 X 1 2 ,3 1 8 3 0 7 ,9 5 0 OTTAWA 1 ,2 4 6 ,0 7 5 1.7X $ 7 .9 3 19.6X -1 3 .2 X 2 5 4 ,3 1 6 6 ,3 S 7 ,9 0 0 4 3 ,2 9 7 1 ,0 8 2 ,4 2 5 1.6X $ 6 .8 9 20.2X 3.3X 5 7 ,5 1 7 1 ,4 3 7 ,9 2 5 1.7X $ 9 .1 5 6 2 ,5 5 0 0 .1 X $ 4 .3 8 18.8X -34.7 X 1 3 ,3 3 0 3 3 3 ,2 5 0 1 ,7 7 4 4 4 ,3 5 0 0.1X $ 3 .1 1 15.5X -1 9 .7 X 3 ,4 8 3 8 7 ,0 7 5 0.1X $ 6 .1 0 PRES. I S . 0.4X $ 2 0 .5 4 ROSCOMMON 6 2 1 ,9 5 0 0.9X $ 3 7 .9 8 2 2 .6X -3 .7 X 1 0 9 .8 5 9 2 ,7 4 6 ,4 7 5 2 8 ,1 0 4 7 0 2 ,6 0 0 1 .IX $ 4 2 .9 1 18.5X 3 9 . IX 3 5 ,8 5 7 8 9 6 ,4 2 5 1.1X $ 5 4 .7 5 SAGINAW 83 0 ,9 2 5 1.2X $ 3 .6 4 26.7X -17.5 X 124 ,6 0 4 3 ,1 1 5 ,1 0 0 1 9 ,5 8 7 4 8 9 ,6 7 5 0.7 X $ 2 .1 5 17.5X -2 4 .3 X 2 4 ,7 1 9 6 1 7 ,9 7 5 0.7X $ 2 .7 1 ST. CLAIR 84 8 ,6 2 5 1.2X $6 .1 1 2 2 .9X 2 . IX 148 ,5 1 5 3 ,7 1 2 ,8 7 5 26,2 4 1 6 5 6 ,0 2 5 1.0X $ 4 .7 3 16.9X 0.2X 4 1 ,0 6 7 1 ,0 2 6 ,6 7 5 1.2X $ 7 .4 0 ST.JOSEPH 2 5 2 ,3 2 5 0.4X $ 4 .5 0 19.2X • 1 6 .BX 5 2 ,611 1 ,3 1 5 ,2 7 5 5 ,8 5 7 146,425 0.2 X $ 2 .6 1 2 4 .9X - 5 1 . IX 6 ,4 2 8 160 ,7 0 0 0.2X $ 2 .8 7 SANILAC 2 3 7 ,0 5 0 O.SX $5 .8 1 2 6 .OX 4 0 .OX 3 6 ,5 0 4 9 1 2 ,6 0 0 7 ,2 8 3 182,075 O.SX $ 4 .4 6 19.2X 7 . IX 9 ,8 3 6 2 4 5 ,9 0 0 O.SX $ 6 .0 3 SCHCRFT. 13 1 .600 0 .2 X $ 1 5 .3 5 20.9X 10.5X 2 5 ,2 0 6 6 3 0 ,1 5 0 3 ,9 5 8 9 8 ,9 5 0 0.1 X $ 1 1 .5 4 13.4X 7.7X 5 ,8 6 6 146 ,6 5 0 0.2X $ 1 7 .1 0 400 O.OX $ 0 .0 1 1.6X -33.3 X 1 ,0 1 4 2 5 ,3 5 0 4 100 O.OX $ 0 .0 0 O.OX -9 9 .2 X 3 ,6 8 7 9 2 ,1 7 5 0.1X $ 1 .3 0 2 7 ,9 0 0 O.OX $ 0 .4 9 2 8 .4X 25.5X 3 ,9 2 5 9 8 ,1 2 5 501 12,525 O.OX $ 0 .2 2 10.4X -3 4 .4 X 1 ,8 7 6 4 6 ,9 0 0 0.1X $ 0 .8 2 147,275 0.2X $ 2 .2 0 1 4 .8X 7 2 .7X 3 9 ,7 3 2 9 9 3 ,3 0 0 3 ,9 1 1 9 7 ,7 7 5 0.1X $ 1 .4 6 10.9X 6 3 .OX 11,3 5 8 2 8 3 ,9 5 0 0.3X $ 4 .2 5 WASHTENAW 1 ,3 6 9 ,9 5 0 1.9X $ 5 .1 7 25.9X 20.5X 2 1 1 ,5 4 8 5 ,2 8 8 ,7 0 0 4 8 ,4 2 0 1 ,2 1 0 ,5 0 0 1.8X $ 4 .5 7 20.3% -10.4X 6 3 ,0 2 7 1 ,5 7 5 ,6 7 5 1.9X $ 5 .9 5 10.4X $ 3 .1 9 2 5 .3X •16.8X 1 ,1 8 1 ,5 2 3 2 9 ,5 3 8 ,0 7 5 2 4 9 ,6 9 8 6 ,2 4 2 ,4 5 0 9.5 X $ 2 .6 7 1 9 . IX - 6 . 8 X 3 4 0 ,0 8 2 8 ,5 0 2 ,0 5 0 10.3X $ 3 .6 4 0.7 X $ 1 8 .7 9 2 8 .SX 3 5 .4X 6 6 ,1 8 1 1 ,6 5 4 ,5 2 5 2 3 ,5 3 6 5 8 8 ,4 0 0 0.9X $ 2 3 .4 4 33.8X 13.4X 27.7X 43.6X 3 ,1 6 5 ,0 5 4 7 9 ,1 2 6 ,3 5 0 21.2X 1.7X SHIAUASSE TUSCOLA VAN SUREN WAYNE WEXFORD 7 ,4 5 9 ,0 2 5 4 7 1 ,6 5 0 0UT/STATE21,9 1 3 ,1 0 0 30.4X 7 4 7 ,9 6 0 1 8 ,6 9 9 ,0 0 0 28.3X 11,6 4 4 2 9 1 ,1 0 0 8 7 1 ,3 5 8 2 1 ,7 8 3 ,9 5 0 0.4X $ 1 1 .6 0 26.4X COUNTY SALES REVENUES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA Of TOTAL SALES SALES YEAR TAX TOTAL B4(4)TO 6 5 (4 ) TAX 1985 TOTAL SALES HOTEL/ SALESHOTEL REVENUES 1985 SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 5 (1 )T 0 SALES SALES TAX PER SALES PERCENT YEAR TAX 7 2 ,0 3 5 ,9 5 0 COUNTY/AV 6 0 3 ,8 9 0 100.0X 24.6X S 5 .4 1 2 ,5 7 5 ,0 5 5 2 2 ,8 1 1 SALES PERCENT HOTEL REVENUES OF TOTAL CAPITA SALES SALES PER SALES TAX 1 9 8 6 (2 ) 8 .4 X 1 1 ,7 1 4 ,2 3 8 2 9 2 ,8 5 5 ,9 5 0 2 ,6 4 1 ,2 7 8 6 6 ,0 3 1 ,9 5 0 1 0 3 ,0 0 2 8 6 (1 ) HOTEL/ TAX 1 9 8 6 (1 ) TOTAL CHANGE 5 7 0 ,2 7 7 100.0X 19.9X S 5 .1 1 5 .4 X 3 ,3 0 1 ,6 5 2 8 2 ,5 4 1 ,3 0 0 2 9 ,2 8 1 7 3 2 ,0 1 6 100.0X S 6 .5 6 COUNTY PERCENT CHANGE HOTEL/ TEAR 8 6 (2 ) PER CHANGE HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL B5(3)TO HOTEL SALES SALES YEAR TAX TAX OF TOTAL 8 5 (2 )7 0 HOTEL PERCENT SALES 8 6 (3 ) 198 6 (3 ) SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL 8 5 (4 )T 0 SALES SALES SALES SALES TAX TAX PER SALES PERCENT YEAR . 8 6 (4 ) TAX REVENUES 1986 1986 1 9 8 6 (4 ) ALCONA U .O X -50.3% 2 ,6 5 2 6 6 ,3 0 0 0.1% S 6.81 74.9% -16.9X 392 9 ,8 0 0 0.0% $ 1 .0 1 11.1% -67.8% 3 ,5 3 9 8 8 ,4 7 5 ALCER 19.3% -3.2% 6 ,8 7 4 1 7 1 ,850 0.2% S 1 8 .6 3 49.2% -27.0% 1 ,3 0 2 3 2 ,5 5 0 O.OX $ 3 .5 3 9.3% 2.8% 1 3 ,9 6 9 3 4 9 ,2 2 5 ALLEGAN 27.6% 16.4% 2 1 ,6 4 7 5 4 1 ,175 0.5% S 6 .6 4 30.9% 8.4% 1 4 ,924 3 7 3 ,1 0 0 0.4% $ 4 .5 7 21.3% -4.6% 7 0 ,0 6 5 1 ,7 5 1 ,6 2 5 ALPENA 21.3% 9.4% 17,652 4 4 1 ,3 0 0 0.4% S 1 3 .6 6 45.0% 119.6% 7,2 0 1 180,025 0.2% $ 5 .5 7 18.3% -0.5% 3 9 ,2 6 6 9 8 1 ,6 5 0 ANTRIM 2 8 .6X 177.6% 5 9 ,781 1 ,4 9 4 ,5 2 5 1.5% S 9 2 .2 9 41.4% 22.6% 1 9 ,5 7 6 4 8 9 ,4 0 0 0.6% $ 3 0 .2 2 13.6% 10.8% 144,325 3 ,6 0 8 ,1 2 5 ARENAC 3 3 .OX -9 1 .3X 1 ,0 1 9 2 5 ,4 7 5 O.OX S I . 73 39.7% -54.3% 257 6 ,4 2 5 0.0% $ 0 .4 4 10.0% -79.4% 2 ,5 6 7 6 4 ,1 7 5 BARAGA 35.5% 117.8% 1,351 3 3 ,7 7 5 O.OX S 3 .9 8 34.5% -32.7% 361 9 ,0 2 5 0.0% $ 1 .0 6 9.2% -69.0% 3 ,9 1 6 9 7 ,9 0 0 BARRY 36.6% 117.0% 1 ,5 9 9 3 9 ,9 7 5 0.0% SO.87 42.1% -14.2% 548 1 3 ,7 0 0 0.0% $ 0 .3 0 14.4% 2390.9% 3 ,8 0 1 9 5 ,0 2 5 BAY 22.6% 68.9% 7 ,6 7 2 191,800 0.2% $ 1 .6 0 37.4% 229.3% 5 ,6 8 2 142,050 0.2% $ 1 .1 8 27.7% 109.0% 2 0 ,5 1 8 5 1 2 ,9 5 0 BENZIE 21.7% 28.9% 12,121 3 0 3 ,0 2 5 0.3% S 2 7 .0 4 4 7 . 7X -5.1% 4 ,7 3 0 118 ,2 5 0 0.1% $ 1 0 .5 5 18.6% -18.5% 2 5 ,4 3 2 6 3 5 ,8 0 0 BERRIEN 2 4 .9X 10.6% 4 5 ,8 8 8 1 ,1 4 7 ,2 0 0 1.2% $ 6 .7 0 33.4% 27.2% 37.59B 9 3 9 ,9 5 0 1.1% $ 5 .4 9 27.4% 16.9% 137,3 5 4 3 ,4 3 3 ,8 5 0 BRANCH 28.9% 12.9% 7 ,2 9 5 182,375 0.2% $ 4 .5 4 25.0% -9.9% 7 ,4 8 5 187,125 0.2% $ 4 .6 6 25.7% 13.8% 2 9 ,1 4 2 7 2 8 ,5 5 0 CALHOUN 19.7% 23.1% 19,6 5 9 4 9 1 ,4 7 5 0.5% $ 3 .4 7 34.9% 71.1% 1 6 ,7 9 0 4 1 9 ,7 5 0 0.5% $ 2 .9 7 29.8% 66.1% 56,3 9 1 1 ,4 0 9 ,7 7 5 CASS 29.8% •56.7% 278 6 ,9 5 0 O.OX $ 0 .1 4 52.1% -76.4% 0 0 O.OX $ 0 .0 0 CHARLVX. 12.8% -5.6% 6 3 ,9 0 6 1 ,5 9 7 ,6 5 0 1.6% $ 8 0 .2 6 26.5% -4.8% 5 3 ,1 5 6 1 ,3 2 8 ,9 0 0 CHEBOYGAN 24.8% 7.7% 1 0 ,1 3 6 2 5 3 ,4 0 0 0.3% $ 1 2 .2 7 41.2% -7.1% 4 ,1 7 4 CHIPPEUA 22.3% -9.7% 2 5 ,8 5 6 6 4 6 ,4 0 0 0.7X $ 2 2 .2 7 53.8% -17.6% 7 ,7 7 2 CLARE 24.1% -1.2% 16,1 9 0 4 0 4 ,7 5 0 0.4% $ 1 6 .9 9 30.3% 3.3% 1 3 .4 3 7 3 3 5 ,9 2 5 0.2% -99.6% 0 0 0.0% $ 0 .0 0 0.0% ERR 431 1 0 ,7 7 5 27.2% -11.7% 2 4 ,8 0 7 6 2 0 ,1 7 5 0.6% $ 6 5 .5 2 30.7% -1.9% 1 8 ,4 6 0 4 6 1 ,5 0 0 CLINTON CRAUFORD 0.0% -100.0% 534 13 ,3 5 0 2 4 1 ,4 4 4 6 ,0 3 6 ,1 0 0 1.6% $ 6 6 .7 6 22.0% 3.3% 104 ,3 5 0 0.1% $ 5 .0 5 17.0% -21.2% 2 4 ,5 8 9 6 1 4 ,7 2 5 194 ,3 0 0 0.2% $ 6 .6 9 16.2% -13.8% 4 8 ,0 9 9 1 ,2 0 2 ,4 7 5 0.4% $ 1 4 .1 0 25.1% -1.3% 5 3 ,4 4 4 1 ,3 3 6 ,1 0 0 0.0% $ 0 .1 9 99.8% ERR 0.5% $ 4 8 .7 6 22.8% 7.8% 432 1 0 ,8 0 0 8 0 ,8 2 2 2 ,0 2 0 ,5 5 0 OELTA 19.0% -34.7% 10,3 9 2 25 9 ,8 0 0 0.3% $ 6 .6 7 34.2% - 5 9 .OX 9 ,3 4 9 233 ,7 2 5 0.3X $ 6 .0 0 30.8% 35.5% 3 0 ,3 4 8 7 5 8 ,7 0 0 DICKINSON 24.0% -21.3% 6 ,6 0 7 165,175 0.2% $ 6 .5 2 25.4% -24.0% 6 ,9 8 7 174,675 0.2% $ 6 .8 9 26.9% -8.3% 2 5 ,9 9 0 6 4 9 ,7 5 0 EATON EMMET 26.9% 23.4% 2 6 ,8 4 8 67 1 ,2 0 0 0.7% $ 7 .6 0 20.2% 24.0% 3 9 ,8 6 0 9 9 6 ,5 0 0 1.2% $ 1 1 .2 8 30.0% 14.8% 132,9 7 3 3 ,3 2 4 ,3 2 5 14.6% -4.9% 5 6 ,5 7 2 1 ,4 1 4 ,3 0 0 1.4% $ 6 1 .5 1 50.9% -2.7% 1 8 ,8 1 7 4 7 0 ,4 2 5 0.6% $ 2 0 .4 6 16.9% 13.6% 1 1 1 ,1 1 9 2 ,7 7 7 ,9 7 5 GENESSE 27.1% -5.0% 5 0 ,9 2 2 1 ,2 7 3 ,0 5 0 1.3% $ 2 .8 3 27.7% -5.0% 4 1 ,0 5 7 1 ,0 2 6 ,4 2 5 1.2% $ 2 .2 8 22.4% -14.5% 1 8 3 ,5 7 0 4 ,5 8 9 ,2 5 0 0.1% GLADWIN 25.5% -5.7% 2 ,6 7 8 6 6 ,9 5 0 0.1% $ 3 .3 5 26.2% -7.6% 2 ,5 3 2 6 3 ,3 0 0 $ 3 .1 7 24.8% -18.5% 10,2 0 4 2 S 5.100 GOGEBIC 10.2% -8.5% 1 0 ,5 3 6 2 6 3 ,4 0 0 0.3% $ 1 3 .3 8 U . 3% -22.4% 1 5 ,2 0 7 3 8 0 ,1 7 5 0.4% $ 1 9 .3 1 20.7% -7.6% 7 3 ,5 8 8 1 ,8 3 9 ,7 0 0 GR. TRAV. 22.6% 16.5% 188,185 4 ,7 0 4 ,6 2 5 4.8% $ 8 5 .7 0 44.2% 35.8% 9 0 ,1 7 1 2 ,2 5 4 ,2 7 5 2.6% $ 4 1 .0 6 21.2% 92.7% 425 ,9 6 1 1 0 ,6 4 9 ,0 2 5 COUNTY PERCENT CHANGE HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 S (3 )T 0 HOTEL SALES SALES YEAR TAX TAX OF TOTAL 85(2)TO MOTEL YEAR 8 6 (2 ) PERCENT PER SALES CHANGE HOTEL/ 8 6 (3 ) 1 98 6 (3 ) SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL B5(4)TO SALES SALES SALES SALES TAX TAX PER SALES PERCENT YEAR 8 6 (4 ) TAX REVENUES 1986 1986 1 9 86(4) GRATOIT 51.9X 222.7X 532 1 3 ,3 0 0 O.OX SO.33 19.6% 10.1% 376 9 ,4 0 0 O.OX $ 0 .2 3 1 3 .SX -9 .6 X 2 ,7 1 7 6 7 ,9 2 5 HILLSDALE 2 1 .3X 316.7X 1 ,9 4 6 4 8 ,6 5 0 O.OX S I . 16 2 4 . IX 53.7X 2 ,9 4 7 7 3 ,6 7 5 0.1X $ 1 .7 5 3 6.5X 7 6 .OX 8 ,0 6 8 2 0 1 ,7 0 0 HOUGHTON 2 7 . IX 17.9X 2 8 ,5 0 5 7 1 2,625 0.7X S18.B2 3 8 .OX 2.2% 1 5 ,0 6 8 3 7 6 ,7 0 0 0.4 X $ 9 .9 5 20.1X 6 . IX 7 5 ,0 4 6 1 ,8 7 6 ,1 5 0 HURON 2 4 . IX 3.3X 2 3 ,7 0 2 5 9 2 ,5 5 0 0.6X S 16.2S 3 7 . IX 21.4% 1 4 ,0 9 3 3 5 2 ,3 2 5 0.4X $ 9 .6 6 2 2 .OX 23.3X 6 3 ,9 1 7 1 ,5 9 7 ,9 2 5 9 ,0 1 6 ,2 7 5 INGHAM 30.2X 204.6X 6 9 ,4 6 7 1 ,7 3 6 ,6 7 5 1.8X 8 6 .3 0 19.3X 99.8% 9 3 ,8 2 8 2 ,3 4 5 ,7 0 0 2 .7X $ 8 .5 1 2 6 .OX 173.2% 3 6 0 ,6 5 1 IONIA 29.3X -8 .3 X 9 ,0 5 8 2 2 6 ,4 5 0 0.2% S 4 .3 7 34 .e x 4.5X 4 ,6 7 7 116,925 0.1X $ 2 .2 6 1 8 .OX -9 .6 X 2 6 ,0 0 2 6 5 0 ,0 5 0 IOSCO 26.9X 5 1 .6X 1 7 ,1 6 6 4 2 9 ,1 5 0 0.4% $ 1 5 .1 4 42.4X 62.9% 7 ,6 3 0 190 ,7 5 0 0.2X $ 6 .7 3 1 8 .SX 10.5X 4 0 ,4 8 8 1 ,0 1 2 ,2 0 0 O.OX IRON 30.9% 1.6X 2 ,4 0 6 6 0 ,1 5 0 0.1% S 4 .4 1 34.1% 6.2X 1 ,403 3 5 ,0 7 5 $ 2 .5 7 19.9% - 3 0 . IX 7 ,0 4 9 176,225 ISABELLA 26. U 3.0X 2 4 ,4 2 2 6 1 0 ,5 5 0 0.6% $ 1 1 .2 8 25.2% - 2 1 . IX 2 4 ,5 3 6 6 1 3 ,4 0 0 0.7X $ 1 1 .3 4 2 5 .3X 1 4 .BX 9 6 ,9 1 6 2 ,4 2 2 ,9 0 0 JACKSON 29.4X 0.7X 2 5 ,0 8 3 6 2 7 ,0 7 5 0.6% $ 4 .1 4 25.2% -2 2 .7 X 2 3 ,9 8 2 5 9 9 ,5 5 0 0.7% $ 3 .9 6 2 4 . IX 3 . OX 9 9 ,3 7 2 2 ,4 8 4 ,3 0 0 KALAMAZOO 16.2X -17.3X 4 3 ,8 1 2 1 ,0 9 5 ,3 0 0 1.1% $ 5 .1 6 32.5% 72.3X 40,7 9 1 1 ,0 1 9 ,7 7 5 1.2X $ 4 .8 0 30.2X 42.5X 1 3 4 ,9 7 0 3 ,3 7 4 .2 5 0 KALKASKA 2 8 .OX * 3 9 .OX 4 ,8 0 7 120,175 0.1% $ 1 0 .9 7 29.3% -29.0% 2 ,7 5 1 6 8 ,7 7 5 0.1% $ 6 .2 8 16. a x -60.1% 1 6 ,4 1 9 4 1 0 ,4 7 5 KENT 24.4X 11.0% 2 1 0 ,9 2 9 5 ,2 7 3 ,2 2 5 5.3% $ 1 1 .8 6 22.3% 1 4 .3X 2 8 8 ,1 6 3 7 ,2 0 4 ,0 7 5 8.4 X $16 .2 1 30.4X 2 4 .5X 9 4 6 ,6 0 6 2 3 ,6 6 5 ,1 5 0 5 1 3 ,5 7 5 KEUEENAU 1 5 .8X 1 3 .IX 1 0 ,862 2 7 1 ,5 5 0 0.3% $ 1 3 8 .3 3 52.9% 9.3% 3 ,0 9 5 7 7 ,375 0.1X $ 3 9 .4 2 1 5 .IX 28.6% 2 0 ,5 4 3 LAKE 26.4X * 3 4 .OX 3 ,0 4 1 7 6 ,0 2 5 0.1% $ 9 .8 6 45.3% 44.6% 1 ,375 3 4 ,3 7 5 O.OX $ 4 .4 6 20.5X 11.7% 6 ,7 0 9 167,725 LAPEER 27.2X 405.7X 4 ,7 3 7 118,425 0.1% S I .6 9 41.3% 661.6% 3 ,0 4 8 7 6 ,2 0 0 0.1X $ 1 .0 9 26.5X 5 1 2 .OX .11,482 2 8 7 ,0 5 0 LEELANAU 1 4 .OX -7 .4 X 6 2 ,8 5 2 1 ,5 7 1 ,3 0 0 1.6% $ 1 1 2 .1 8 48.5% 8.9% 1 8 ,0 9 8 4 5 2 ,4 5 0 O.SX $ 3 2 .3 0 1 4 .OX 1.1X 129 ,6 6 4 3 ,2 4 1 ,6 0 0 LEHAUEE 2 4 .e x -81.2% 2 ,5 0 0 6 2 ,5 0 0 0.1% $ 0 .6 9 17.0% - 8 5 . 7X 2 ,9 5 3 7 3 ,8 2 5 0.1X $ 0 .8 2 2 0 . IX - 7 0 . IX 14,6 7 4 3 6 6 ,8 5 0 LIV. 5 3 . IX -63.9% 1,081 2 7 ,0 2 5 O.OX $ 0 .2 7 19.8% -34.6% 1 ,1 4 8 2 8 ,7 0 0 O.OX $ 0 .2 9 21 .OX - 2 1 .4X 5 ,4 6 8 136 ,7 0 0 LUCE 2 3 .7X 10.0X 3 ,0 6 4 7 6 ,6 0 0 0.1X $ 1 1 .5 0 45.8% •34.0% 1 ,3 0 0 3 2 ,5 0 0 O.OX $ 4 .8 8 19.4X 3 . OX 6 ,6 9 1 167,275 1 1 .5 X 8 1 ,1 1 7 .6 6 MACKINAC 24.2X 31.9% 65.8% 31.0% 6 7 ,3 1 4 1 ,6 8 2 ,8 5 0 2.0X S16S.34 9.7X 12.6X 6 9 1 ,6 6 3 1 7 ,2 9 1 ,5 7 5 MACOMB 25.2X -11.2X 4 2 ,1 1 5 1 ,0 5 2 ,8 7 5 1.1% $ 1 .5 2 23.6% -3.2% 4 7 ,2 7 1 1 ,1 8 1 ,7 7 5 1.4% $ 1 .7 0 26.5% -8 .0 X 1 78 ,3 9 5 4 .4 5 9 ,8 7 5 MANISTEE MARQUETTE 2 4 .3X -25.2X 2 4 ,4 5 3 6 1 1 ,3 2 5 0.6X $ 2 6 .5 6 49.8% -4.2% 7 ,1 8 0 179,500 0.2% $ 7 .8 0 14.6% -22.7% 4 9 ,0 9 3 1 ,2 2 7 ,3 2 5 2 5 .4X •4.6X 3 3 ,8 3 8 8 4 5 ,9 5 0 0.9X $ 1 1 .4 2 32.4% -2.8% 2 6 ,3 0 7 6 5 7 ,6 7 5 0.8% $ 8 .8 8 25.2% 2 3 . IX 1 04 ,2 9 3 2 ,6 0 7 ,3 2 5 MASON 20.5X 31.6% 1 2 ,8 8 9 3 2 2 ,2 2 5 0.3% $ 1 2 .2 2 53.6% 72.2% 3 ,9 9 3 9 9 ,8 2 5 0.1X $ 3 .7 9 16.6X 64.7X 2 4 ,0 2 7 6 0 0 ,6 7 5 MECOSTA 25.5X 1.5X 9 ,3 2 5 2 3 3,125 0.2% $ 6 .3 1 26.3% -1 .5 X 9 ,7 8 7 244 ,6 7 5 0.3X $ 6 .6 2 27.6X 17.5X 3 5 ,5 1 8 8 8 7 ,9 5 0 MENOMINEE 18.8X ' 2 6 . SX 1 ,7 0 6 4 2 ,6 5 0 0.0% $ 1 .6 3 38.2% 87.9% 1 ,5 3 2 3 8 ,3 0 0 O.OX $ 1 .4 6 3 4 .3X B6.4X 4 ,4 6 9 111,725 MIDLAND 2 4 .OX -6 .7 X 2 0 ,3 9 4 5 0 9 ,8 5 0 0.5X $ 6 .9 3 22.5% -1.3% 2 6 ,8 1 0 6 7 0 ,2 5 0 O.BX $ 9 .1 1 29.6X 5.SX 9 0 ,481 2 ,2 6 2 ,0 2 5 4 5 5 ,0 2 1 1 1 ,3 7 5 ,5 2 5 COUNTY PERCENT CHANGE HOTEL/ SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 65(3)TO MOTEL SALES SALES YEAR TAX TAX OF TOTAL 8S(2)TO HOTEL YEAR 8 6 (2 ) PER PERCENT SALES CHANGE HOTEL/ 8 6 (3 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL B5(4)TO GALES SALES SALES TAX TAX PER SALES PERCENT YEAR CHANGE TOTAL 8 6 (4 ) TAX TOTAL SALES REVENUES 1986 1986 1 9 8 6 (4 ) 19 8 6 (3 ) MISSAUKEE 2 3 .7X 2S4.5X 984 2 4 ,6 0 0 O.OX S 2 .4 6 S8.9X 455.9X 247 6 ,1 7 5 O.OX $ 0 .6 2 14.8X 1.6X 1 ,6 7 0 4 1 ,7 5 0 MONROE 27.6X 26.6X 1 5 ,5 6 6 3 8 9 ,6 5 0 0.4 X $ 2 .6 9 23.9X 10.9X 1 6 ,125 4 0 3 ,1 2 5 0.5X $ 2 .9 9 24.8X 1.1X 6 5 ,1 4 8 1 ,6 2 8 ,7 0 0 MONTCALM 3 0 .SX 20.3X 4 ,0 1 5 100,375 O .U $ 2 .1 1 3 2 .OX 1 2 .OX 1 ,5 9 7 3 9 ,9 2 5 O.OX $ 0 .8 4 12.7X -5 2 .3 X 1 2 ,5 3 9 3 1 3 ,4 7 5 HONTM. 2 4 .AX - 1 6 . IX 3 ,0 3 4 7 5 ,8 5 0 0.1X $ 1 0 .1 2 3 7 .OX -O.SX 1 ,9 3 5 4 8 ,3 7 5 0.1X $ 6 .4 6 23.6X 34.7X 8 ,2 1 1 2 0 5 ,2 7 5 MUSKEGON 26.9X 21 .SX 10,991 2 7 4,775 0.3X $ 1 .7 4 39.6X - 2 4 . OX 4 ,5 9 2 114 ,8 0 0 0.1X $ 0 .7 3 16.6X -2 7 .3 X 2 7 ,7 4 5 6 9 3 ,6 2 5 2 ,4 1 4 6 0 ,3 5 0 0.1X $ 1 .7 3 4 3 .9X 3 . OX 501 12,525 O.OX $ 0 .3 6 9 . IX - 7 6 . OX 5 ,5 0 5 137 ,6 2 5 4 5 7 ,3 5 4 1 1 ,4 3 3 ,8 5 0 11.6X $ 1 1 .3 0 2 4 .2X 31.2X 1S.0X $ 1 2 .6 1 2 7 . OX 20.9X 1 ,8 9 1 ,8 7 3 4 7 ,2 9 6 ,8 2 5 NEUAYGO 32.7X -6 .1 X OAKLAND 2 7 .IX S I .OX OCEANA 30.9X -37.2X 3 ,4 9 1 8 7 ,2 7 5 0.1X $ 3 .9 7 6 5 .6X -3 5 .7 X 32 800 O.OX $ 0 .0 4 0.6 X -9 0 .2 X 5 ,3 2 4 1 3 3 ,1 0 0 OGEMAU 26.6X 1.9X 6 ,0 3 1 150,775 0.2X $ 9 .1 7 40.3X 15.7X 3 ,1 1 8 7 7 ,9 5 0 0.1X $ 4 .7 4 20.8X -1 .9 X 1 4 ,9 6 0 3 7 4 ,0 0 0 5 1 0 ,2 6 5 1 2 ,7 5 6 ,6 2 5 ONTONAGON 1 9 . IX 3.4X 2 ,6 9 3 6 7 ,3 2 5 0 .1 X $ 6 .8 3 33.6X 3.4X 2 ,0 4 6 5 1 ,1 5 0 0.1X $ 5 .1 9 25.5X -5 .5 X 8 ,0 1 4 2 0 0 ,3 5 0 OSCEOLA 20.9X 20.1X 2 ,8 9 0 7 2 ,2 5 0 0 .1 X $ 3 .8 2 2 1 .3X 5 5 .OX 5 ,4 5 1 1 36,275 0.2X $ 7 .2 0 40.2X 1 6 1 .2X 13,5 7 5 3 3 9 ,3 7 5 OSCODA 22.7X -SG.SX 2 ,6 5 9 6 6 ,4 7 5 0 .1 X $ 9 .6 9 38.7X - 4 4 .8X 1 ,1 9 9 2 9 ,975 O.OX $ 4 .3 7 17.SX -4 1 .5 X 6 ,8 6 7 171 ,6 7 5 OTSEGO 19.9X -18.6X 2 3 ,9 4 4 5 9 8 ,6 0 0 0.6X $ 3 9 .9 3 38.7X -2 .3 X 1 1 ,4 0 6 2 8 5 ,1 5 0 0.3X $ 1 9 .0 2 18.4X •2 0 .8 X 6 1 ,9 1 8 1 ,5 4 7 ,9 5 0 OTTAWA 2 6 .9X -13.9X 7 1 ,7 1 9 1 ,7 9 2 .9 7 5 1.BX $ 1 1 .4 1 33.5X - 2 5 . IX 4 1 ,6 3 7 1 ,0 4 0 ,9 2 5 1.2X $ 6 .6 2 19.4X -1 6 .5 X 2 1 4 ,1 7 0 5 ,3 5 4 ,2 5 0 PRES. IS . 3 0 .SX 33.6X 4 ,8 0 4 1 2 0,100 0.1 X $ 8 .4 2 4 2 . 1X - 2 0 . IX 1 ,3 5 0 3 3 ,7 5 0 O.OX $ 2 .3 7 11.8X - 4 6 . OX 11,411 2 8 5 ,2 7 5 ROSCOMMON 23.6X 21.9X 5 5 ,6 4 9 1 ,3 9 1 ,2 2 5 1.4X $ 8 4 .9 7 36.7X 57.4X 3 2 ,0 3 5 800,8 7 5 0.9X $ 4 8 .9 1 2 1 . IX 2 8 .SX 1 51,645 3 ,7 9 1 ,1 2 5 SAGINAW 2 2 . 1X -1S.BX 3 5 ,2 3 0 8 8 0 ,7 5 0 0.9X $ 3 .8 6 3 1 .6X 0.5X 3 2 ,0 7 7 8 0 1 ,9 2 5 0.9X $ 3 .5 2 28.7X -3 .5 X 111 ,6 1 3 2 ,7 9 0 ,3 2 5 ST. CLAIR 2 6 .4X 0.9X 4 9 ,8 8 5 1 ,2 4 7 ,1 2 5 1.3X $ 8 .9 8 3 2 . IX 4.6X 3 8 ,1 1 8 9 5 2 ,9 5 0 1.1X $ 6 .8 7 24.5X 12.3X 155,311 3 ,8 8 2 ,7 7 5 ST.JOSEPH 27.3X -59.4X 6 ,3 6 4 159,100 0.2X $ 2 .8 4 2 7 .OX - 5 6 . BX 4 ,9 0 8 122,700 0.1X $ 2 .1 9 20 . e x - 5 1 . 4X 2 3 ,5 5 7 5 8 8 ,9 2 5 SANILAC 2 6 .OX B.5X 11,4 3 3 2 8 5 ,825 0.3X $7 .0 1 3 0 .2X 2.5X 9 ,3 1 9 232 ,9 7 5 0.3X $ 5 .7 1 2 4 .6X -1 .7 X 3 7 ,871 9 4 6 ,7 7 5 2 9 .7X 7 ,4 5 0 186,250 0.2X $ 2 1 .7 2 2 5 .ZX 4 1 . 5X 2 9 ,6 1 3 7 4 0 ,3 2 5 4 4 .1 X 3 9 9 8 3 .3X 2 ,3 9 7 5 9 ,9 2 5 0.1X $ 0 .8 4 22.0X14881.3% 1 0 ,8 9 8 2 7 2 .4 5 0 SCHCRFT. 19.8X • 1 3 .IX 1 2 ,3 3 9 3 0 8 ,4 7 5 0.3X $ 3 5 .9 7 SHIAUASSE 33.8X 663.4X 4 ,8 1 0 120,250 0.1 X $ 1 .6 9 4 1 .n TUSCOLA 3 8 .SX 76.2X 1 ,6 9 8 4 2 ,4 5 0 O.OX $ 0 .7 5 3 5 . IX 73.3X 763 19,075 O.OX $ 0 .3 3 1S.8X - 3 1 .6X 4 ,8 3 8 120 ,9 5 0 VAN SUREN 3 1 .6X -5 .8 X 18,154 4 5 3 ,8 5 0 0.5X $ 6 .7 9 . 50.4X -6 .3 X 2 ,5 7 7 6 4 ,4 2 5 0.1X $ 0 .9 6 7.2X -5 6 .3 X 3 6 ,0 0 0 9 0 0 ,0 0 0 WASHTENAW 26.4X 23.7X 5 7 .9 5 9 1 .4 4 8 .9 7 5 1.SX $ 5 .4 7 24.3X 1 2 .OX 6 9 ,0 1 9 1 ,7 2 5 ,4 7 5 2 . OX $ 6 .5 2 WAYNE 2 6 . IX 3 . OX 3 2 9 ,8 1 7 8 ,2 4 5 ,4 2 5 B.4X $ 3 .5 3 2S.3X 15.7X 3 8 4 ,6 4 2 9 ,6 1 6 ,0 5 0 3 7 8 ,3 5 0 0.4X $ 1 5 .0 7 2 1 .7X •3.2X 19,331 4 8 3 ,2 7 5 8 8 5 ,3 8 5 2 2 .1 3 4 .6 2 S 22.4X WEXFORD 16.7X 6.6X OUT/STATE 24.7X 19.3X 15,1 3 4 2 5 . IX 7.6X11 ,0 2 9 ,1 5 0 2 5 ,7 2 8 ,7 5 0 28.9X 2 6 .OX 2 3 8 ,4 2 5 5 ,9 6 0 ,6 2 5 $ 4 .1 1 2 9 .SX 28.9X 1 ,3 0 4 ,2 3 9 3 2 ,6 0 5 ,9 7 5 0.6X $ 1 9 .2 5 2 7 .SX 11.3X 30.2X 2 9 . IX 6 9 ,6 4 5 1 ,7 4 1 ,1 2 5 17.4X 3 ,5 3 3 ,8 5 3 2.5X 8 8 ,3 4 6 ,3 2 5 COUNTY PERCENT CHANGE HOTEL/ O f TOTAL 8S(2)TO YEAR 8 6 (2 ) SALES HOTEL PERCENT PEB REVENUES SALES SALES TAX TAX PERCENT OF TOTAL SALES YEAR 1 9 8 6 (3 ) TOTAL COUNTY/AV 24.8X 8 6 (3 ) SALES PERCENT CHANGE TOTAL TOTAL REVENUES Of TOTAL CAPITA OF TOTAL 8 5 (4 )T 0 SALES SALES SALES SALES TAX TAX PER SALES PERCENT YEAR 8 6 (4 ) TAX 1986 REVENUES 1986 1 9 8 6 (4 ) 1 6 .3 X 3 ,9 6 3 ,3 0 2 9 8 ,6 3 2 ,3 3 0 3 6 ,8 6 6 CHANGE HOTEL/ CAPITA OF TOTAL 85(3>T0 HOTEL 9 2 1 ,6 6 2 100.0X 2 9 .7 X S 8 .2 6 1 3 .0 X 3 ,4 1 2 ,9 9 9 8 5 ,3 2 4 ,9 7 5 2 8 ,7 2 1 7 1 8 ,0 2 7 100.0X 2 3 .7 X S 6 .4 3 1 8 .4 X 1 3 ,3 0 1 ,2 3 1 3 3 2 ,5 3 0 ,7 7 3 1 1 7 ,6 7 9 2 ,9 4 1 ,9 8 1 APPENDIX H STATISTICAL ABSTRACT FOR FAMILY RESTAURANTS SALES TAX BY QUARTER FOR MICHIGAN COUNTIES 1983-1986 COUNTY POPULATION1 FAMILY RESTAURANT SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL Q1toQ2 RESTAURANT SALES SALES SALES TAX PER SALES PERCENT YEAR FAMILY SALES SALES TAX TAX PERCENT PER SALES PERCENT CHANGE YEAR FAMILY SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL SALES TAX SALES TAX 1983(1) PER SALES PERCENT YEAR TAX 19 8 3 (2 ) 1 9 8 3 (3 ) ALCONA 9 ,7 * 0 4 ,8 7 2 1 2 1,800 O.OX $12.51 10.4X 1 1 ,4 4 9 286,2 2 5 O.OX $ 2 9 .3 9 24.3X 1 3 5 .OX 1 9 ,2 1 0 4 8 0 ,2 5 0 0.1X $ 4 9 .3 1 ALGER 9 ,2 2 5 6 ,2 6 5 156,625 O.OX $ 1 6 .9 8 18.9X 7 ,3 7 9 184,475 O.OX $ 2 0 .0 0 2 2 .2X 17.8X 1 2 ,5 2 7 3 1 3 ,1 7 5 O.OX $ 3 3 .9 5 37.8X ALLEGAN 8 1 ,5 5 5 8 6 ,7 1 8 2 ,1 6 7 ,9 5 0 0.4 X $ 2 6 .5 8 18.1X 1 2 4 ,1 2 2 3 ,1 0 3 ,0 5 0 O.SX $ 3 8 .0 5 2S.8X 4 3 . IX 159 ,3 3 6 3 ,9 8 3 .4 0 0 0.6 X $ 4 8 .8 4 33.2X ALPENA 3 2 ,3 1 5 6 4 ,6 3 0 1 ,6 1 5 ,7 5 0 0.3 X $ 5 0 .0 0 19.2X 84 ,8 3 1 2 ,1 2 0 ,7 7 5 0.4 X $ 6 5 .6 3 25.3X 3 1 .3X 1 0 4 ,0 6 0 2 ,6 0 1 ,5 0 0 0 .4 X $ 8 0 .5 0 31 .OX ANTRIN 1 6 ,19* 1 7 ,872 4 * 6 ,8 0 0 0.1 X $ 2 7 .5 9 1 5 .1X 2 7 ,4 6 0 6 8 6 ,5 0 0 0.1 X $ 4 2 .3 9 2 3 . IX 5 3 .6X 4 9 ,9 4 6 1 ,2 4 8 ,6 5 0 0.2 X $77 .1 1 4 2 . IX ARENAC 1 4 ,7 0 6 9 ,9 2 2 2 * 8 ,0 5 0 O.OX $ 1 6 .8 7 12.4X 2 1 ,5 1 7 537,9 2 5 0.1 X $ 3 6 .5 8 26.9X 116.9X 3 1 ,4 9 4 7 8 7 ,3 5 0 0.1 X $ 5 3 .5 4 39.4X BARAGA 8 ,* 8 * 6 ,7 6 7 1 6 9,175 O.OX $ 1 9 .9 4 1 9 .IX 8 ,4 4 6 2 1 1 ,1 5 0 O.OX $ 2 4 .8 9 23.8X 24.8X 11,1 6 3 2 7 9 ,0 7 5 O.OX $ 3 2 .8 9 3 1 . 5X *5 ,781 3 5 ,6 2 7 8 9 0 ,6 7 5 0 .2 X $ 1 9 .4 6 1B.5X 4 7 ,7 8 9 1 ,1 9 4 ,7 2 5 0.2 X $ 2 6 .1 0 2 4 . BX 3 4 . IX 6 0 ,8 8 8 1 ,5 2 2 ,2 0 0 0.2 X $ 3 3 .2 5 3 1 .6X 119,881 2 0 3,96* 5 ,0 9 9 ,1 0 0 1.0X $ 4 2 .5 3 21. ex 2 3 5 ,8 7 3 5 ,8 9 6 ,8 2 5 1.0X $ 4 9 .1 9 25.2X 15.6X 2 4 9 ,5 5 3 6 ,2 3 8 ,8 2 5 1.0X $ 5 2 .0 4 26.7X BARRY BAY 40.8X 11,205 2 8 ,0 6 0 7 0 1 ,5 0 0 0.1 X $ 6 2 .6 1 15.8X 3 6 ,2 2 2 9 0 5 ,5 5 0 0.2 X $ 8 0 .8 2 20.4X 2 9 . IX 7 6 ,5 8 0 1 ,9 1 4 ,5 0 0 0.3X S170.86 43.2X BERRIEN 17 1 ,276 177,343 4 ,4 3 3 ,5 7 5 O.OX $ 2 5 .8 9 1 9 .4X 2 4 2 ,0 4 6 6 ,0 5 1 ,1 5 0 1.0X $ 3 5 .3 3 26.4X 36.5X 2 8 6 ,7 5 4 7 ,1 6 8 ,8 5 0 1.1X $ 4 1 .8 6 3 1 .3X BRANCH * 0 ,1 8 8 * 8 ,7 9 2 1 ,2 1 9 ,8 0 0 0.2 X $ 3 0 .3 5 19.9X 6 0 ,3 3 6 1 ,5 0 8 ,4 0 0 0.3 X $ 3 7 .5 3 2 4 .6X 23.7X 6 9 ,4 7 4 1 ,7 3 6 ,8 5 0 0.3X $ 4 3 .2 2 28.4X CALHOUN 1* 1 ,5 5 7 7 1 5,402 1 7 ,8 8 5 ,0 5 0 3.4X $126.35 2 3 .OX 7 7 0 ,6 4 4 1 9 ,2 6 6 ,1 0 0 3 .2X S136.10 24.8X 7.7X 894,781 2 2 ,3 6 9 ,5 2 5 3.4X $ 1 5 8 .0 2 28.7X 0.1 X 2 8 . IX BENZIE CASS * 9 ,* 9 9 1 7 ,783 4 * 4 ,5 7 5 0.1 X $ 8 .9 8 2 1 . IX 1 9 ,5 8 7 489,6 7 5 $ 9 .8 9 25.5X 10.1X 21 ,611 5 4 0 ,2 7 5 0.1X $ 1 0 .9 1 CHARLVX. 1 9 ,9 0 7 2 7 ,4 6 3 6 8 6 ,5 7 5 0.1 X $ 3 4 .4 9 14.4X 4 0 ,1 5 4 1 ,0 0 3 ,8 5 0 0.2 X $ 5 0 .4 3 2 1 .OX 46.2X 9 0 ,2 6 6 2 ,2 5 6 ,6 5 0 0 .3 X $ 1 1 3 .3 6 47.3X CHEBOYGAN 2 0 ,6 * 9 1 8 ,906 * 7 2 ,6 5 0 0.1 X $ 2 2 .8 9 15.9X 2 9 ,7 2 5 743,125 0.1 X $ 3 5 .9 9 24.9X 57.2X 4 6 ,2 2 5 1 ,1 5 5 ,6 2 5 0 .2 X $ 5 5 .9 7 38.8X CHIPPEUA 2 9 ,0 2 9 * 9 ,9 7 6 1 ,2 4 9 ,4 0 0 0.2 X $ 4 3 .0 4 1 3 . IX 9 0 ,4 6 9 2 ,2 6 1 ,7 2 5 0.4 X $ 7 7 .9 1 2 3 . 7X 8 1 .OX 159,441 3 ,9 8 6 ,0 2 5 0.6X S137.31 41.9X CLARE 2 3 ,8 2 2 2 4 ,7 0 7 6 1 7 ,6 7 5 0.1 X $ 2 5 .9 3 19.3X 3 2 ,9 4 4 8 2 3 ,6 0 0 0.1X $ 3 4 .5 7 2 5 . 7X 33.3X 3 8 ,9 1 5 972,8 7 5 0.1 X $ 4 0 .8 4 30.3X CLINTON 5 5 ,8 9 3 5 0 ,9 8 3 1 ,2 7 4 ,5 7 5 0.2 X $ 2 2 .8 0 21.9X 5 8 ,7 2 9 1 ,4 6 8 ,2 2 5 0.2X $ 2 6 .2 7 25.2X 15.2X 6 4 ,7 7 2 1 ,6 1 9 ,3 0 0 0.2 X $ 2 8 .9 7 27.8X CRAWFORD 9 ,* 6 5 14,591 3 6 4 ,7 7 5 0.1 X $ 3 8 .5 4 14.8X 2 3 ,3 3 4 5 8 3 ,3 5 0 0.1 X $ 6 1 .6 3 23.6X 59.9X 3 8 ,5 1 4 9 6 2 ,8 5 0 0.1X S101.73 3 9 .OX DELTA 3 8 ,9 4 7 9 8 ,1 7 0 2 ,4 5 4 ,2 5 0 O.SX $ 6 3 .0 2 21. ex 112 ,7 1 8 2 ,8 1 7 ,9 5 0 O.SX $ 7 2 .3 5 2 5 . IX 14.8X 1 3 7 ,7 8 7 3 ,4 * 4 ,6 7 5 0.5 X $ 8 8 .4 5 30.7X DICKINSON 25,3*1 2 2 ,9 0 2 5 7 2 ,5 5 0 0.1 X $ 2 2 .5 9 21 .*X 2 7 ,3 2 6 6 8 3 ,1 5 0 0.1 X $ 2 6 .9 6 25.5X 19.3X 3 1 ,0 0 8 7 7 5 ,2 0 0 0.1 X $ 3 0 .5 9 28.9X EATON 8 8 ,3 3 7 1 0 1,727 2 ,5 4 3 ,1 7 5 0.5 X $ 2 8 .7 9 2 2 .8X 117 ,5 0 9 2 ,9 3 7 ,7 2 5 0.5 X $ 3 3 .2 6 26.3X 15.5X 117 ,4 1 3 2 ,9 3 5 ,3 2 5 0.5 X $ 3 3 .2 3 26.3X 2 2 ,9 9 2 51,791 1 ,2 9 4 ,7 7 5 0.2 X $56 .3 1 13.8X 86,5 5 1 2 ,1 6 3 ,7 7 5 0.4 X $ 9 4.11 2 3 . IX 6 7 . 1X 178,151 4 ,4 5 3 ,7 7 5 0.7X $193.71 47.5X GENESSE *5 0 ,4 * 9 8 6 0 ,0 0 0 2 1 ,5 0 0 ,0 0 0 4 . IX $ 4 7 .7 3 2 2 . IX 973 ,7 5 1 2 4 ,3 4 3 ,7 7 5 4 . OX $ 5 4 .0 4 2 5 .OX 13.2X 1 ,0 4 2 ,2 9 2 2 6 ,0 5 7 ,3 0 0 4 . OX $ 5 7 .8 5 26.8X GLADWIN 1 9 ,9 5 7 2 2 ,4 0 3 5 6 0 ,0 7 5 0 .1 X $ 2 8 .0 6 17.4X 3 4 ,8 8 5 872,1 2 5 0.1 X $ 4 3 .7 0 2 7 . IX 55.7X 4 2 ,2 1 3 1 ,0 5 5 ,3 2 5 0.2X $ 5 2 .8 8 32.7X GOGEBIC 1 9 ,6 8 6 1 3 ,392 33 4 ,8 0 0 0.1 X $17 .0 1 2 3 . 1X 14,411 360,2 7 5 0.1X $ 1 8 .3 0 24.8X 7.6X 16,751 * 1 8 ,7 7 5 0.1X $ 2 1 .2 7 28.9X GR. YRAV. 5 4 ,8 9 9 185,122 4 ,6 2 8 ,0 5 0 0 .9 X $ 8 4 .3 0 1S.8X 2 3 9 ,4 5 3 5 ,9 8 6 ,3 2 5 1.0X $109.04 20.5X 29.3X 4 5 5 ,6 9 5 1 1 ,3 9 2 ,3 7 5 1.8X S207.52 38.9X EHHET COUNTY POPULATION FAMILY RESTAURANT PERCENT OF TOTAL CAPITA OF TOTAL RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL Q ltoQ 2 RESTAURANT SALES SALES SALES TAX PER SALES PERCENT YEAR FAMILY SALES PERCENT SALES REVENUES SALES TAX TAX PERCENT PER SALES CHANGE YEAR FAMILY SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL SALES TAX SALES SALES PERCENT YEAR TAX TAX 1 98 3 (1 ) PER 1 9 8 3 (2 ) 1 9 8 3 (3 ) GRATOIT A O ,« a 4 5 ,3 1 9 1 ,1 3 2 ,9 7 5 0 .2 X $ 2 8 .0 1 2 3 .3X 5 1 ,0 1 6 1 ,2 7 5 ,4 0 0 0.2 X $ 3 1 .5 3 26.2X 12.6X 5 4 ,261 1 ,3 5 6 ,5 2 5 0.2% $ 3 3 .5 4 HILLSDALE 4 2 .071 6 4 ,8 9 5 1 ,6 2 2 ,3 7 5 0.3X S 3 8 .5 6 17.6X 7 9 ,9 4 6 1 ,9 9 8 ,6 5 0 0.3 X $ 4 7 .5 1 2 1 . 7X 23.2% 1 42 ,3 2 8 3 ,5 5 8 ,2 0 0 0 .5 X $ 8 4 .5 8 38.6X HOUGHTON 3 7 ,8 7 2 2 5 ,9 2 3 6 4 8 ,0 7 5 0.1X S 17.11 18.9X 3 6 ,8 0 9 9 2 0 ,2 2 5 0 .2X $ 2 4 .3 0 26.8X 4 2 .OX 5 0 ,3 2 0 1 ,2 5 8 ,0 0 0 0 .2 X $ 3 3 .2 2 36.6X 33.7X 27.9X 3 4 ,4 5 9 4 4 ,671 1 ,1 1 6 ,7 7 5 0 .2 X S 3 0 .6 3 17.6X 6 2 ,8 6 8 1 ,5 7 1 ,7 0 0 0.3 X $ 4 3.11 24.7X 40.7X 8 5 ,7 1 1 2 ,1 4 2 ,7 7 5 0 .3 X $ 5 8 .7 7 2 7 5 ,5 2 0 5 3 8 ,3 0 8 1 3 ,4 5 7 ,7 0 0 2.5X $ 4 8 .8 4 23.3X 5 7 9 ,1 8 2 1 4 ,4 7 9 ,5 5 0 2.4X $ 5 2 .5 5 2 5 . IX 7.6X 5 8 7 ,6 5 3 1 4 ,6 9 1 ,3 2 5 2.3 X $ 5 3 .3 2 2 5 .5X IONIA 5 1 ,8 1 5 3 5 ,8 6 8 8 9 6 ,7 0 0 0.2X $ 1 7 .3 1 20.9X 4 2 ,4 5 8 1 ,0 6 1 ,4 5 0 0.2 X $ 2 0 .4 9 2 4 .BX 18.4X 4 9 ,4 8 5 1 ,2 3 7 ,1 2 5 0 .2 X $ 2 3 .8 8 28.9% IOSCO 2B .349 3 2 2 ,4 4 4 8 ,0 6 1 ,1 0 0 1.5X S284.35 6 4 .5X 4 9 ,0 5 8 1 ,2 2 6 ,4 5 0 0.2 X $ 4 3 .2 6 9.8 X -8 4 .8 X 8 3 ,7 3 8 2 ,0 9 3 ,4 5 0 0 .3 X $ 7 3 .8 5 16.8X IRON 13,635 15,631 3 9 0,775 0.1 X $ 2 8 .6 6 1 6 .OX 2 4 ,2 2 6 6 0 5 ,6 5 0 0.1 X $ 4 4 .4 2 2 4 .9X 5 5 .OX 3 1 ,7 8 2 7 9 4 ,5 5 0 0.1 X $ 5 8 .2 7 32.6% HURON INGHAM ISABELLA 5 4 ,1 1 0 9 3 ,8 2 6 2 ,3 4 5 ,6 5 0 0.4X $ 4 3 .3 5 19.5X 128,2 4 4 3 ,2 0 6 ,1 0 0 O.SX $ 5 9 .2 5 26.6X 36.7X 1 36,175 3 ,4 0 4 ,3 7 5 O.SX $ 6 2 .9 2 28.3% JACKSON 151,495 3 2 5 ,1 7 6 8 ,1 2 9 ,4 0 0 1.5X $ 5 3 .6 6 22.2X 3 6 4 ,7 7 3 9 ,1 1 9 ,3 2 5 1.5X $ 6 0 .2 0 2 5 .OX 12.2% 3 9 6 ,8 9 4 9 ,9 2 2 ,3 5 0 1.SX $ 6 5 .5 0 2 7 . 1X KALAMAZOO 2 1 2 ,3 7 8 348,461 8 ,7 1 1 ,5 2 5 1.6X $ 4 1 .0 2 2 3 . IX 3 8 1 ,2 4 6 9 ,5 3 1 ,1 5 0 1.6X $ 4 4 .8 8 25.3X 9 .4 X 388 ,6 3 4 9 ,7 1 5 ,8 5 0 1.5X $ 4 5 .7 5 25.8% 10,9 5 2 2 3 ,7 3 8 5 9 3 ,4 5 0 0 .1 X $ 5 4 .1 9 18.7X 3 2 ,5 8 4 8 1 4 ,6 0 0 0.1X $ 7 4 .3 8 2 5 . 7X 37.3X 4 0 ,7 3 6 1 ,0 1 8 ,4 0 0 0 .2 X $ 9 2 .9 9 32.2% 7 . IX $ 8 4 .6 3 2 5 . 2X 1 ,6 1 1 ,2 8 2 4 0 ,2 8 2 ,0 5 0 6.7 X $ 9 0 .6 2 2 7 .OX 7 . IX 1 ,4 2 5 ,5 5 4 7 . OX 206.9% 6 ,2 2 5 3 5 ,6 3 8 ,8 5 0 5.5 X $ 8 0 .1 8 23.9X 155 ,6 2 5 O.OX $ 7 9 .2 8 74.8X O.OX $ 3 4 .2 3 3 2 .e x KALKASKA 4 4 4 ,5 0 6 1 ,5 0 4 ,7 3 8 3 7 ,6 1 8 ,4 5 0 KEUEENAU 1,9 6 3 189 4 ,7 2 5 LAKE 7,711 4 ,8 2 0 LAPEER 7 0 ,0 3 8 LEELANAU 1 4 ,0 0 7 KENT LENAUEE LIV. $ 2 .4 1 2.3X 580 1 4 ,5 0 0 1 2 0 ,500 O.OX $ 1 5 .6 3 IS.OX 7 ,9 5 9 198,975 O.OX $ 2 5 .8 0 2 4 . 7X 102,531 2 ,5 6 3 ,2 7 5 0.5 X $ 3 6 .6 0 5 ,0 7 8 1 2 6 ,950 O.OX O.OX O.OX $ 7 .3 9 6 5 . IX 10,5 5 8 2 6 3 ,9 5 0 2 3 . IX 1 1 2 ,8 1 0 2 ,8 2 0 ,2 5 0 0.5 X $ 4 0 .2 7 2 5 .4X 10.0X 121,138 3 ,0 2 8 ,4 5 0 O.SX $ 4 3 .2 4 27.3X $ 9 .0 6 7 .3X 14,491 362 ,2 7 5 0.1 X $ 2 5 .8 6 20.8X 1B5.4X 4 0 ,0 1 8 1 ,0 0 0 ,4 5 0 0.2 X $ 7 1 .4 3 57.5X 8 9 ,9 4 8 131,068 3 ,2 7 6 ,7 0 0 0.6 X $ 3 6 .4 3 21.3% 1 56 ,4 9 0 3 ,9 1 2 ,2 5 0 0.6X $ 4 3 .4 9 25.4X 19.4X 167,964 4 ,1 9 9 ,1 0 0 0 .6 X $ 4 6 .6 8 27.2X 100,289 8 4 ,4 1 2 2 ,1 1 0 ,3 0 0 0.4 X $ 2 1 .0 4 2 1 .3X 1 0 6 ,2 0 6 2 ,6 5 5 ,1 5 0 0.4 X $ 2 6 .4 7 26.8X Z5.8% 109,331 2 ,7 3 3 ,2 7 5 0 .4 X $ 2 7 .2 5 27.6% 6 ,6 5 9 6 ,6 9 0 167,250 O.OX $ 2 5 .1 2 2 1 . IX 7 ,5 7 3 189,325 O.OX $ 2 8 .4 3 23.9X 13.2% 11,9 0 4 2 9 7 ,6 0 0 O.OX $ 4 4 .6 9 37.6X 1 0 ,178 9 ,7 4 1 2 4 3 ,5 2 5 O.OX $ 2 3 .9 3 4 .7 X 4 2 ,0 6 2 1 ,0 5 1 ,5 5 0 0.2X S103.32 2 0 . IX 3 3 1 .e x 131,785 3 ,2 9 4 ,6 2 5 0 .5X $323.70 62.9% 6 9 4 ,6 0 0 1 ,7 8 6 ,1 6 7 4 4 ,6 5 4 ,1 7 5 8.4 X $ 6 4 .2 9 22.4X 2 ,1 0 4 ,7 9 5 5 2 ,6 1 9 ,8 7 5 8.7 X $ 7 5 .7 6 26.4X 17.8X 2 ,0 5 8 ,9 2 9 5 1 ,4 7 3 ,2 2 5 7 .9X $ 7 4 .1 0 25.8X MANISTEE 2 3 ,0 1 9 2 2 ,7 1 5 5 6 7 ,875 0.1 X $ 2 4 .6 7 17.9X 2 8 ,9 6 2 7 2 4 ,0 5 0 0.1X $ 3 1 .4 5 22.8X 27.5X 4 5 ,8 2 8 1 ,1 4 5 ,7 0 0 0.2 X $ 4 9 .7 7 36.1X MARQUETTE 74,101 125,751 3 ,1 4 3 ,7 7 5 0.6X $ 4 2 .4 3 21.3% 1 5 3 ,0 0 8 3 ,8 2 5 ,2 0 0 0.6X $ 5 1 .6 2 2 5 .9X 21.7X 167,140 4 ,1 7 8 ,5 0 0 0.6 X $ 5 6 .3 9 2S.3X MASON 2 6 ,3 6 5 5 8 ,9 0 9 1 ,4 7 2 ,7 2 5 0.3 X $ 5 5 .8 6 16.7X 8 8 ,6 8 8 2 ,2 1 7 ,2 0 0 0.4 X $ 8 4 .1 0 2 5 .2X S0.6X 135,370 3 ,3 8 4 .2 5 0 0.5X $ 1 2 8 .3 6 38.4X MECOSTA 36,961 3 0 ,9 6 8 7 7 4 ,2 0 0 0.1 X $ 2 0 .9 5 22.7X 3 1 ,4 6 7 786 ,6 7 5 0.1 X $ 2 1 .2 8 2 3 . IX 1.6X 3 7 ,8 5 2 9 4 6 ,3 0 0 0.1X $ 2 5 .6 0 MENOMINEE 26,201 2 3 ,9 4 3 5 9 3 ,5 7 5 0.1 X $ 2 2 .8 5 1 9 . IX 3 1 ,0 0 9 775 ,2 2 5 0 .1 X $ 2 9 .5 9 2 4 .8X 29.5% 3 7 ,7 5 4 9 4 3 ,8 5 0 0.1 X $ 3 6 .0 2 27.8X 30.2% MIDLAND 7 3 ,5 7 8 1 1 4 ,266 2 ,8 5 6 ,6 5 0 0.5 X $ 3 8 .8 2 20.9X 1 3 7 ,4 0 6 3 ,4 3 5 ,1 5 0 0.6 X $ 4 6 .6 9 2S.2X 20.3X 152,759 3 ,8 1 8 ,9 7 5 0 .6 X $ 5 1 .9 0 2 8 .OX LUCE MACKINAC MACOMB COUNTY POPULATION1 FAMILY RESTAURANT SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL 0 1 to 0 2 RESTAURANT SALES SALES SALES TAX PER SALES PERCENT YEAR FAMILY SALES SALES TAX TAX PER SALES PERCENT CHANGE YEAR FAMILY SALES PERCENT REVENUES OF TOTAL CAPITA O f TOTAL SALES TAX SALES TAX 198 3 (1 ) MISSAUKEE PERCENT PER SALES PERCENT YEAR TAX 1 9 8 3 (2 ) 1 9 8 3 (3 ) 1 0 ,0 0 9 6 ,2 5 7 156,425 O.OX S 1S .63 1 9 .OX 8 ,8 2 1 220 ,5 2 5 O.OX S 2 2 .0 3 26.7X 41 .OX 1 0 ,3 5 7 258,9 2 5 O.OX $ 2 5 .8 7 31 .*X 1 3 4,659 86,611 2 .1 6 5 ,2 7 5 0.4X S 1 6 .0 8 20.BX 105,791 2 ,6 * 4 ,7 7 5 0 .4 X $ 1 9 .6 4 2 5 .4X 2 2 . IX 1 1 7 ,3 0 0 2 ,9 3 2 ,5 0 0 0.5 X $ 2 1 .7 8 2 8 . IX * 7 ,5 5 5 * 2 ,8 2 * 1 ,0 7 0 ,6 0 0 0.2X S 22.51 18.4X 6 0 ,9 2 0 1 ,5 2 3 ,0 0 0 O.SX S 3 2 .0 3 2 6 . IX 42.3X 6 7 ,6 6 6 1 ,6 9 1 ,6 5 0 0.3 X $ 3 5 .5 7 29.0X 7 , *92 7 ,6 2 9 190,725 O.OX S 2 5 .4 6 12.3X 15,7 3 5 3 9 3 ,3 7 5 0 .1 X $ 5 2 .5 1 25 .*X 106.3X 2 4 ,4 3 7 6 1 0 ,9 2 5 0.1 X $ 8 1 .5 4 39.4X MUSKEGON 1 5 7,589 1 9 0,169 4 ,7 5 4 ,2 2 5 0.9X S 3 0 .1 7 20.8X 2 2 2 ,3 9 9 5 ,5 5 9 ,9 7 5 0 .9 X $ 3 5 .2 8 24.4X 16.9X 2 6 3 ,9 4 9 6 ,5 9 8 ,7 2 5 1.0X $ 4 1 .8 7 28.9X NEWAYGO 3 * ,9 1 7 3 6 ,9 0 5 9 2 2 ,6 2 5 0.2X $ 2 6 .4 2 1 9 .IX * 9 ,8 7 7 1 ,2 * 6 ,9 2 5 0 .2 X $ 3 5 .7 1 25.8X 3 5 . IX 5 9 ,4 6 5 1 ,4 8 6 ,6 2 5 0 .2 X $ 4 2 .5 8 30.8X OAKLAND 1,,0 1 1 ,7 9 3 2 ,9 7 0 ,3 9 3 7 4 ,2 5 9 ,8 2 5 14.0X S 7 3 .3 9 2 3 . IX 3 ,1 8 3 ,9 7 9 7 9 ,5 9 9 ,4 7 5 1 3 .2X $ 7 8 .6 7 24.8X 7.2X 3 ,3 6 8 ,9 9 9 8 4 ,2 2 4 ,9 7 5 1 3 .OX $ 8 3 .2 4 26.2X OCEANA 2 2 ,0 0 2 1 * ,712 36 7 ,8 0 0 0.1X S 1 6 .7 2 17.2X 2 1 ,8 2 5 5 4 5 ,6 2 5 0 .1 X $ 2 4 .8 0 2 5 .6X 4S.3X 2 9 ,7 3 9 7 * 3 ,4 7 5 0.1 X $ 3 3 .7 9 34.8X OGEMAW 1 6 ,* 3 6 2 6 ,9 6 * 6 7 4 ,1 0 0 0.1X $41 .0 1 1 2 .OX 5 7 ,221 1 ,4 3 0 ,5 2 5 0 .2 X $ 8 7 .0 4 2 5 .5X 112.2X 8 0 ,3 9 4 2 ,0 0 9 ,8 5 0 0.3X S 122.28 3 5 .9X MONROE MONTCALM MONTH. ONTONAGON 9 ,8 6 1 1 1 ,6*2 29 1 ,0 5 0 0.1X S 2 9 .5 2 24.0X 11,971 2 9 9 ,2 7 5 O.OX $ 3 0 .3 5 24.7X 2.8X 16 ,0 5 3 4 0 1 ,3 2 5 0.1 X $ 4 0 .7 0 3 3 . 1X OSCEOLA 1 8 ,9 2 8 1 5 ,669 39 1 ,7 2 5 0.1X $ 2 0 .7 0 1 8 .7X 2 0 ,9 * 5 523 ,6 2 5 0.1X $ 2 7 .6 6 2 5 .OX 33.7X 2 5 ,3 7 0 6 3 4 ,2 5 0 0.1 X $ 3 3 .5 1 30.3X OSCOOA 6 ,8 5 8 9 ,2 8 3 2 3 2,075 O.OX $ 3 3 .8 * 1A.6X 1 3 ,8 4 2 3 * 6 ,0 5 0 0 .1 X $ 5 0 .4 6 21.7X 4 9 . IX 2 4 ,6 3 6 6 1 5 ,9 0 0 0.1 X $ 8 9 .8 1 38.7X OTSEGO 1 * ,993 73,711 1 ,8 4 2 ,7 7 5 0.3X S122.91 2 2 . IX 9 3 ,0 3 7 2 ,3 2 5 ,9 2 5 0.4X S15S .13 27.9X 26.2X 1 0 7 ,6 4 9 2 ,6 9 1 ,2 2 5 0 .4X S 179.50 32.3X OTTAWA 157,17* 189,023 4 ,7 2 5 ,5 7 5 0.9X $ 3 0 .0 7 20.7X 2 5 0 ,3 8 8 6 ,2 5 9 ,7 0 0 1.0X $ 3 9 .8 3 27.4X 32.5X 2 6 5 ,3 4 3 6 ,6 3 3 ,5 7 5 1.0X $42 .2 1 2 9 .OX 3 4 . SX PRES. IS . t* ,2 6 7 7 ,8 8 3 197,075 O.OX S 13.81 17.4X 1 0 ,0 4 9 251 ,2 2 5 O.OX $ 1 7 .6 1 2 2 . IX 27.5X 1 5 ,7 8 3 3 9 4 ,5 7 5 0.1 X $ 2 7 .6 6 ROSCOMMON 16,37* 2 8 ,* 0 0 7 1 0 ,0 0 0 0.1X $ 4 3 .3 6 16.5X * 1 ,3 3 * 1 ,0 3 3 ,3 5 0 0.2 X $ 6 3 .1 1 2 4 .OX 45.5X 6 9 ,3 8 8 1 ,7 3 4 ,7 0 0 0.3X S105.94 40.2X SAGINAW 2 2 8 ,0 5 9 * 0 6 ,8 6 3 1 0 ,1 7 1 ,5 7 5 1.9X S 4 4 .6 0 19.5X 5 0 7 ,1 7 0 1 2 ,6 7 9 .2 5 0 2 . IX $ 5 5 .6 0 24.4X 24.7X 6 0 9 ,0 4 7 1 5 ,2 2 6 ,1 7 5 2.3 X $ 6 6 .7 6 29.3X ST. CLAIR 1 3 8,802 2 0 * ,6 7 8 5 ,1 1 6 ,9 5 0 1.0X $ 3 6 .8 7 20.3X 2 5 5 ,7 0 6 6 ,3 9 2 ,6 5 0 1.1X $ 4 6 .0 6 2 5 .4X 24.9X 3 1 3 ,6 8 4 7 ,8 4 2 ,1 0 0 1.2X $ 5 6 .5 0 3 1 . IX ST. JOSEPH 5 6 ,0 8 3 1 2 6,886 3 ,1 7 2 ,1 5 0 0 .6 X S 5 6 .5 6 20.5X 171 ,0 7 * 4 ,2 7 6 ,8 5 0 0 .7 X $ 7 6 .2 6 27.7X 34.8X 179 ,4 4 3 4 ,4 8 6 ,0 7 5 0 .7 X $ 7 9 .9 9 2 9 . IX SANILAC * 0 ,7 8 9 2 2 ,6 2 2 5 6 5 .5 5 0 0.1X S 1 3 .8 7 1 8 .IX 3 2 ,8 9 6 8 2 2 ,4 0 0 0.1 X $ 2 0 .1 6 26.3X 4S.4X 3 8 ,6 1 6 9 6 5 ,4 0 0 0 .1 X $ 2 3 .6 7 3 0 .SX SCHCRFT. 8 ,5 7 5 5 ,9 8 5 149,625 O.OX S 17.45 10.2X 13,3 * 4 3 3 3 ,6 0 0 0.1 X $ 3 8 .9 0 22.8X 1 2 3 .OX 2 4 ,7 2 6 6 1 8 ,1 5 0 0 .1 X $ 7 2 .0 9 42.3X SHIAWASSE 7 1 ,1 * 0 8 0 ,5 2 3 2 ,0 1 3 ,0 7 5 0.4X S 2 8 .3 0 2 1 . 7X 9 4 ,2 3 7 2 ,3 5 5 ,9 2 5 0.4 X $ 3 3 .1 2 2 5 .4X 1 7 .OX 101 .7 5 0 2 ,5 4 3 ,7 5 0 0 .4 X $ 3 5 .7 6 27.4X TUSCOLA 56,961 5 1 ,8 8 0 1 ,2 9 7 ,0 0 0 0.2X S 2 2 .7 7 22.3X 6 0 ,8 4 7 1 ,5 2 1 ,1 7 5 O.SX $26 .7 1 26.2X 17.3X 5 9 ,4 6 3 1 ,4 8 6 ,5 7 5 0 .2 X $ 2 6 .1 0 25.6X VAN 8UREN 6 6 ,8 1 * 63,7 2 1 1 ,5 9 3 ,0 2 5 O.SX $ 2 3 .8 4 18.9X 8 9 ,1 4 9 2 ,2 2 8 ,7 2 5 0.4 X $ 3 3 .3 6 26.5X 39.9X 111 ,2 2 3 2 ,7 8 0 ,5 7 5 0 .4 X $ 4 1 .6 2 3 3 . IX WASHTENAW 2 6 * ,7 * 8 * 7 8 ,0 2 8 1 1 ,9 5 0 ,7 0 0 2.3X $ 4 5 .1 * 2 3 .5X 514,931 1 2 ,8 7 3 ,2 7 5 2.1 X $ 4 8 .6 2 2 5 .3X 7.7X 5 2 1 ,4 3 * 1 3 ,0 3 5 ,8 5 0 2 . OX $ 4 9 .2 4 25.6X 4 ,0 9 3 ,5 * 8 1 0 2 ,3 3 8 ,7 0 0 19.3X $ 4 3 .7 7 23.3X 4 ,4 7 8 ,1 6 6 1 1 1 ,9 5 4 ,1 5 0 18.6X $ 4 7 .8 9 2 5 .5X 9.4X 4 ,4 0 0 ,2 9 5 1 1 0 ,0 0 7 ,3 7 5 16.9X $ 4 7 .0 5 2 5 .OX O.SX $ 7 1 .2 2 2 7 .5X 3 1 . 1X 7 6 ,9 5 3 1 ,9 2 3 ,8 2 5 25.3X 19.3X 3 ,7 9 4 ,9 8 2 9 4 ,8 7 4 ,5 5 0 WAYNE WEXFORD OUT/STATE 2 ,3 3 7 ,8 9 1 2 5 ,1 0 2 5 4 ,5 6 0 1 ,3 6 4 ,0 0 0 3 ,0 2 3 ,9 8 1 7 5 ,5 9 9 ,5 2 5 0.3X $ 5 4 .3 4 14.3X 2 1 .OX 7 1 ,5 1 2 1 ,7 8 7 ,8 0 0 2 1 .2X 3 ,6 0 6 ,3 2 3 9 0 ,1 5 8 ,0 7 5 1 5 .OX 0.3 X $ 7 6 .6 4 1 4 .6X 29.6X 26.6X COUNTY POPULATION FAMILY SALES PERCENT PER PERCENT FAMILY SALES RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL RESTAURANT REVENUES SALES TAX SALES SALES YEAR SALES TAX 2 1 8 ,9 1 3 SALES YEAR 5 ,4 7 2 ,8 2 1 CHANGE FAMILY SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL SALES TAX SALES 1 0 0 .OX 2 4 7 ,0 3 6 SALES PERCENT YEAR 1 9 8 3 (3 ) 2 2 .2 X 2 4 ,1 1 0 ,3 4 7 6 0 2 ,7 5 8 ,6 7 5 S 4 9 .0 4 PER TAX 1 9 8 3 (2 ) 9 ,2 6 2 .0 7 8 2 1 ,1 9 3 ,7 4 6 5 2 9 ,8 4 3 ,6 3 0 111,591 PERCENT TAX 1 9 8 3 (1 ) COUNTY AV PER OF TOTAL CAPITA OF TOTAL Q1toQ2 RESTAURANT SALES TAX TOTAL PERCENT 6 ,1 7 5 ,9 1 1 100.0X 25 .3 X S 5 5 .3 4 1 3 .8 X 2 5 ,9 9 2 ,7 9 0 6 4 9 ,8 1 9 ,7 5 0 2 6 7 ,4 4 3 6 ,6 8 6 ,0 8 7 100.0X 27.2X $ 5 9 .9 2 •OUT/STATE FIGURES NOT INCLUDED IN AVERAGES g •ERR I n d ic a te * D i v is io n b y Z e ro -|s» COUNTY FAMILY CHANGE Q2toQ3 RESTAURANT SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL 03toQ4 SALES SALES RESTAURANT SALES TAX REVENUES SALES TAX SALES TAX PER SALES PERCENT YEAR TAX FAMILY SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 3 ( 1 )T0 RESTAURANT SALES 1983 1983 198 3 (4 ) SALES PERCENT YEAR CHANGE FAMILY 8 4 (1 ) BALES TAX TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) ALCONA 67.8X 1 1 ,499 2 8 7,475 O.OX $29 .5 1 2 4 .SX - 4 0 . IX 4 7 ,0 3 0 1 .1 7 5 ,7 5 0 4 ,7 2 2 118 ,0 5 0 ALGER 69.8X 7 ,0 0 0 1 7 5 ,000 O.OX S 1 8 .9 7 2 1 . IX - 4 4 . IX 3 3 ,1 7 1 8 2 9 ,2 7 5 2 ,9 1 3 7 2 ,8 2 5 ALLEGAN 28.4X 1 0 9 ,9 8 7 2 ,7 4 9 ,6 7 5 0 .5 X $ 3 3 .7 2 22.9X - 3 1 . OX 4 8 0 ,1 6 3 1 2 ,0 0 4 ,0 7 5 9 1 ,8 9 0 2 ,2 9 7 ,2 5 0 ALPENA 2 2 .7X 8 2 ,4 0 4 2 ,0 6 0 ,1 0 0 0 .3 X $ 6 3 .7 5 24.5X -2 0 .8 X 3 3 5 ,9 2 5 8 ,3 9 8 ,1 2 5 7 8 ,5 8 7 ANTRIM B1.9X 23,391 5 8 4,775 O .IX S 36.11 19.7X •53.2X 1 1 8 ,6 6 9 2 ,9 6 6 ,7 2 5 2 2 ,2 6 0 ARENAC 46.4X 1 6 ,9 6 9 4 2 4,225 O .IX $ 2 8 .8 5 2 1 .2X - 4 6 . IX 7 9 ,9 0 2 1 ,9 9 7 ,5 5 0 1 1 ,8 4 2 SARAGA 32.2X 9 ,0 7 2 2 2 6 ,8 0 0 O.OX $ 2 6 .7 3 2 5 .6X -1 8 .7 X 3 5 ,4 4 8 8 8 6 ,2 0 0 BARRY 27.4X 4 8 ,5 5 8 1 ,2 1 3 ,9 5 0 0 .2 X $ 2 6 .5 2 25.2X -2 0 .3 X 1 9 2 ,8 6 2 4 ,8 2 1 ,5 5 0 BAY PER O.OX $ 1 2 .1 2 10.7X -3 .1 X O.OX $ 7 .8 9 10.8X • 5 3 .SX 5 ,7 1 1 0 .4 X $ 2 8 .1 7 19.2X 6 . OX 1 2 8 ,3 2 7 1 ,9 6 4 ,6 7 5 0.3 X $ 6 0 .8 0 21.6X 2 1 .6X 9 5 .6 3 9 5 5 6 ,5 0 0 O .IX S 3 4 .3 6 15.5X 24.6X 3 7 ,4 4 6 2 9 6 ,0 5 0 O .IX $ 2 0 .1 3 15.9X 19.4X 2 1 ,1 3 2 7 ,4 8 7 1 8 7 ,1 7 5 O.OX $ 2 2 .0 6 19.4X 10.6X 10,001 4 9 ,3 3 6 1 ,2 3 3 ,4 0 0 0.2 X $ 2 6 .9 4 23.2X 38.5X 5 5 ,3 0 3 2 5 0 ,6 4 3 1 0 ,9 6 2 5.6X 2 4 5 ,8 6 3 6 ,1 4 6 ,5 7 5 1.0X $ 5 1 .2 7 26.3X -1 .5 X 9 3 5 ,2 5 3 2 3 ,3 8 1 ,3 2 5 2 2 7 ,0 7 2 5 ,6 7 6 ,8 0 0 1.0X $ 4 7 .3 5 22.3X 11.3X 111.4X 3 6 ,4 5 4 9 1 1 ,3 5 0 0.2X $ 8 1 .3 3 20.6X - 5 2 . 4X 1 7 7 ,3 1 6 4 ,4 3 2 ,9 0 0 32,8 6 1 8 2 1 ,5 2 5 O .IX $ 7 3 .3 2 1 8 .OX 1 7 . IX 3 9 ,0 0 8 BERRIEN 1 8 .SX 2 0 9,622 5 ,2 4 0 ,5 5 0 0.9X $ 3 0 .6 0 2 2 .9X -2 6 .9 X 9 1 5 ,7 6 5 2 2 ,8 9 4 ,1 2 5 198,1 7 9 4 ,9 5 4 ,4 7 5 0.8 X $ 2 8 .9 3 21 .OX 11.7X 2 5 1 ,3 2 2 BRANCH IS .IX 6 6 ,2 8 8 1 ,6 5 7 ,2 0 0 0.3X $ 4 1 .2 4 2 7 . IX -4 .6 X 2 4 4 ,8 9 0 6 ,1 2 2 ,2 5 0 5 8 ,1 3 7 1 ,4 5 3 ,4 2 5 0.2X $ 3 6 .1 7 21.7X 19.2X 6 9 ,9 2 5 CALHOUN 1 6 . IX 7 3 2 ,8 2 3 1 8 ,3 2 0 ,5 7 5 3.0X S 129.42 23.5X - 1 8 . IX 3 ,1 1 3 ,6 5 0 7 7 ,8 4 1 ,2 5 0 6 6 0 ,0 6 5 1 6 ,5 0 1 ,6 2 5 2 .8X S 116.57 20.2X -7 .7 X 7 3 7 ,2 6 6 BENZIE CASS 10.3X 1 7 ,954 4 4 8 ,8 5 0 O .IX $ 9 .0 7 2 3 .3X -16.9X 7 6 ,9 3 5 1 ,9 2 3 ,3 7 5 18 ,485 4 6 2 ,1 2 5 O .IX $ 9 .3 4 24.2% 3.9X 2 0 ,3 9 6 1 2 4 .8X 3 2 .9 0 7 8 2 2 ,6 7 5 O .IX $ 4 1 .3 3 17.2X -6 3 .5 X 1 9 0 ,7 9 0 4 ,7 6 9 ,7 5 0 2 6 ,7 7 5 6 6 9 ,3 7 5 0 .1 X $ 3 3 .6 3 1 4 . IX -2.5% 4 1 ,3 2 8 CHEBOYGAN 5S.SX 2 4 ,3 1 4 6 0 7 ,8 5 0 O .IX $ 2 9 .4 4 2 0 .4X -4 7 .4 X 1 1 9 ,1 7 0 2 ,9 7 9 ,2 5 0 2 0 ,1 1 7 5 0 2 ,9 2 5 O .IX $ 2 4 .3 6 15.8X 6.4 X 3 1 ,8 0 6 CHIPPEUA 7 6 .2X 8 1 ,085 2 ,0 2 7 ,1 2 5 0.3X $ 6 9 .8 3 2 1 .3X - 4 9 . IX 3 8 0 ,9 7 1 9 ,5 2 4 ,2 7 5 7 5 ,4 7 7 1 ,8 8 6 ,9 2 5 O.SX $ 6 5 .0 0 19.3X 51 .OX 9 6 ,4 6 2 3 3 ,9 9 7 CHARLVX. CLARE IB . IX 3 1 ,7 5 6 7 9 3,900 O .IX $ 3 3 .3 3 2 4 . 7X -1 8 .4 X 1 2 8 ,3 2 2 3 ,2 0 8 ,0 5 0 2 6 ,1 9 3 6 5 4 ,8 2 5 O .IX $ 2 7 .4 9 20.2% 6 . OX CLINTON 10.3X 58,201 1 ,4 5 5 ,0 2 5 0 .2 X $ 2 6 .0 3 2 5 .OX •10.1X 2 3 2 ,6 8 5 5 ,8 1 7 ,1 2 5 3 9 ,7 8 5 9 9 4 ,6 2 5 0 .2 X $ 1 7 .8 0 2 1 .3X - 2 2 .OX 5 0 ,0 5 0 CRAUFORO 6S.1X 2 2 ,3 5 6 5 5 8 ,9 0 0 O .IX $ 5 9 .0 5 2 2 .6X • 4 2 .OX 9 8 ,7 9 5 2 ,4 6 9 ,8 7 5 2 4 ,9 8 6 6 2 4 ,6 5 0 O .IX $ 6 6 .0 0 18.2% 7 1 . ZX 3 1 ,8 8 8 DELTA 22.2X 100,641 2 ,5 1 6 ,0 2 5 0.4X $ 6 4 .6 0 22.4X • 2 7 .OX 4 4 9 ,3 1 6 1 1 ,2 3 2 ,9 0 0 9 5 ,3 2 5 2 ,3 8 3 ,1 2 5 0.4 X $ 6 1 .1 9 20.4X -2 .9 X 1 1 8 ,1 4 9 DICKINSON 1 3 .SX 2 5 ,9 3 8 6 4 8 ,4 5 0 O .IX $ 2 5 .5 9 24.2X -16.4X 1 07,1 7 4 2 ,6 7 9 ,3 5 0 2 4 ,0 2 5 6 0 0 ,6 2 5 O .IX $ 2 3 .7 0 24.8X 4.9X 2 2 ,4 6 8 EATON -O .IX 110,093 2 ,7 5 2 ,3 2 5 0.5X $ 3 1 .1 6 2 4 .6X -6 .2 X 4 4 6 ,7 4 2 1 1 ,1 6 8 ,5 5 0 110,934 2 ,7 7 3 ,3 5 0 0.5X $ 3 1 .4 0 21.7% 9.1% 136,2 4 0 EMMET 10S.8X 5 8 ,4 1 2 1 ,4 6 0 ,3 0 0 0.2X $ 6 3 .5 1 1 5 .6X - 6 7 . 2X 3 7 4 ,9 0 5 9 ,3 7 2 ,6 2 S 4 5 ,2 6 7 1 ,1 3 1 ,6 7 5 0.2X $ 4 9 .2 2 1 1 .8X •12.6X 7 7 ,6 4 0 7 . OX 1 ,0 1 2 ,8 3 9 2 5 ,3 2 0 ,9 7 5 4 .2 X $ 5 6 .2 1 2 6 .OX -2 .8 X 3 ,8 8 8 ,8 8 2 9 7 ,2 2 2 ,0 5 0 1 ,0 0 0 ,1 3 4 2 5 ,0 0 3 ,3 5 0 4.3 X $55 .5 1 30.3% GENESSE 16.3X 1 ,1 0 0 ,9 2 3 GLADWIN 2 1 .OX 2 9 ,4 3 9 735,975 O .IX $ 3 6 .8 8 22.8X -3 0 .3 X 1 2 8 ,9 4 0 3 ,2 2 3 ,5 0 0 2 3 ,8 2 8 5 9 5 ,7 0 0 O .IX $ 2 9 .8 5 15.3X 6.4 X GOGEBIC 16.2X 1 3 ,5 0 7 3 3 7,675 O .IX $ 1 7 .1 5 23.3X -1 9 .4 X 5 8 ,0 6 1 1 ,4 5 1 ,5 2 5 2 0 ,2 3 4 5 0 5 ,8 5 0 O .IX $ 2 5 .7 0 23.5X 5 1 . IX 1 7 ,5 1 9 GR. TRAV. 90.3X 2 8 9 ,9 8 9 7 ,2 4 9 ,7 2 5 1.2X $ 1 3 2 .0 6 24.8X -3 6 .4 X 1 ,1 7 0 ,2 5 9 2 9 ,2 5 6 ,4 7 5 2 4 7 ,6 5 8 6 ,1 9 1 ,4 5 0 1.1X S112.78 1 9 .IX 33.8X 3 1 4 ,1 3 6 3 8 ,5 0 0 COUNTY FAMILY CHANGE Q 2tc03 RESTAURANT SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL 03toQA SALES SALES RESTAURANT SALES TAX REVENUES SALES TAX SALES TAX PER SALES PERCENT YEAR TAX 1983 SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL B 3(1)T 0 RESTAURANT SALES 1983 1983(A) GMT01T FAMILY PER SALES PERCENT YEAR CHANGE FAMILY 8 6 (1 ) BALES TAX TAX 1 9 8 6 (1 ) 19 8 6 (2 ) 6 . AX 6 6 ,0 2 8 1 ,1 0 0 ,7 0 0 0 .2 X S 27.21 2 2 .6X -1 8 .9 X 196 ,6 2 6 6 ,8 6 5 ,6 0 0 3 9 ,6 5 3 9 8 6 ,3 2 5 0 .2 X $ 2 6 .3 9 23.3X -1 2 .9 X 61,8 2 1 HILLSDALE 7 8 .OX 8 1 ,6 3 8 2,0A 0,900 0.3X SA8.51 2 2 . IX - 6 2 . 6X 3 6 8 ,8 0 5 9 ,2 2 0 ,1 2 5 8 2 ,1 5 6 2 ,0 5 3 ,9 0 0 O.AX $ 6 8 .8 2 22.6X 26.6X 9 7 ,7 0 7 HOUGHTON 36.7X 2A ,283 6 0 7 ,0 7 5 O .IX S 1 6 .0 3 17.7X -5 1 .7 X 137,335 3 ,6 3 3 ,3 7 5 2 6 ,5 0 6 6 1 2 ,6 5 0 O .IX $ 1 6 .1 8 20.5X -5 .5 X 2 9 ,6 0 8 HURON 36.3X 6 1 ,0 3 7 1 ,5 2 5 ,9 2 5 O.SX SA1.85 26 .OX -2 8 .8 X 2 5 6 ,2 8 7 6 ,3 5 7 ,1 7 5 5 3 ,1 8 6 1 ,3 2 9 ,6 5 0 0 .2 X $ 3 6 .6 7 18.7X 1 9 . IX 7 1 ,9 0 8 1.SX 6 0 1 ,0 1 3 1 5 ,0 2 5 ,3 2 5 2.5X SSA.53 2 6 . IX 2 .3X 2 ,3 0 6 ,1 5 6 5 7 ,6 5 3 ,9 0 0 6 0 6 ,5 5 5 1 5 ,1 6 3 ,8 7 5 2.6 X $ 5 5 .0 6 26.2X 12.7X 6 2 3 ,0 0 6 IONIA 16.6X A3.A72 1 ,0 8 6 ,8 0 0 0.2X S 2 0 .9 7 25.6X -1 2 .2 X 171,2 8 3 6 ,2 8 2 ,0 7 5 6 3 ,5 1 5 1 ,0 8 7 ,8 7 5 0 .2 X $ 2 1 .0 0 2 3 . IX 21.3X 5 0 ,9 8 8 IOSCO 70.7X AA.335 1 ,1 0 8 ,3 7 5 0.2X S 3 9 .1 0 B.9X -6 7 .1 X 6 9 9 ,5 7 5 1 2 ,6 8 9 ,3 7 5 3 9 ,1 5 5 9 7 8 ,8 7 5 0.2 X $ 3 6 .5 3 1 5 .SX -8 7 .9 X 6 1 ,8 6 1 IRON INGHAM 3 1 .2X 2 5 ,7 8 6 6AA.650 O .IX $ 6 7 .2 8 26.5X -1 8 .9 X 9 7 ,6 2 5 2 ,6 3 5 ,6 2 5 23,6 6 1 5 8 6 ,0 2 5 O .IX $ 6 2 .9 8 2 0 .OX 5 0 .OX 2 9 ,2 0 0 ISABELLA 6.2X 123,225 3 ,0 8 0 ,6 2 5 O.SX $ 5 6 .9 3 2 5 .6X -9 .5 X 6 8 1 ,6 7 0 1 2 ,0 3 6 .7 5 0 1 1 6 ,6 0 t 2 ,9 1 0 ,0 2 5 0 .5 X $ 5 3 .7 8 2 0 . IX 2 6 .IX 168,6 3 3 JACKSON 8.8X 3 7 5 ,0 8 8 9 ,3 7 7 ,2 0 0 1.6X $ 6 1 .9 0 2 5 . 7X -5 .5 X 1 ,6 6 1 ,9 3 1 3 6 ,5 6 8 ,2 7 5 3 5 7 ,5 3 5 8 ,9 3 8 ,3 7 5 1.5X $ 5 9 .0 0 2 2 . IX 10.0X 6 1 6 ,6 5 6 KALAMAZOO 1.9X 3 8 7 ,8 8 6 9 ,6 9 7 ,1 5 0 1.6X $ 6 5 .6 6 25.ex -0 .2 X 1 ,5 0 6 ,2 2 7 3 7 ,6 5 5 ,6 7 5 3 8 9 ,9 5 9 9 ,7 6 8 ,9 7 5 1.7X $ 6 5 .9 0 23.3X 11.9X 6 3 7 ,0 6 8 2 5 .OX 21.5X 3 6 ,2 2 9 2 9 ,5 8 9 7 3 9,725 0.1X $ 6 7 .5 6 23.6X -2 7 .6 X 1 2 6 ,6 6 7 3 ,1 6 6 ,1 7 5 2 8 ,8 3 3 7 2 0 ,8 2 5 O .IX $ 6 5 .8 2 18.8X KENT -11.5X 1 .A 22.999 35.57A .975 5.9X $ 8 0 .0 3 23.9X -0 .2 X 5 ,9 6 6 .5 7 3 1 6 9 ,1 1 6 ,3 2 5 1 ,3 1 5 ,5 6 0 3 2 ,8 8 8 ,5 0 0 5.6X $ 7 3 .9 9 27.7X KEUEENAU 973.3X 1 ,3 3 0 3 3 ,2 5 0 O.OX $ 1 6 .9 6 1 6 .OX -7 8 .6 X 8 ,3 2 6 2 0 8 ,1 0 0 1 ,3 3 7 3 3 ,6 2 5 O.OX $ 1 7 .0 3 8.2 X 607.6X 32.7X 8 ,8 2 6 2 2 0 ,6 5 0 O.OX $ 2 8 .6 1 27.6X -1 6 .6 X 3 2 ,1 6 3 8 0 6 ,0 7 5 6 ,7 0 6 117,6 5 0 O.OX $ 1 5 .2 6 15.7X -2 .6 X 7 ,9 6 5 7.AX 106,922 2 ,6 7 3 ,0 5 0 O.AX $ 3 8 .1 7 2 6 . IX - 1 1 . 7X 663,601 1 1 ,OSS,025 102,6 5 0 2 ,5 6 6 ,2 5 0 O.AX $ 3 6 .6 6 20.6X O .IX 130,205 KALKASKA LAKE LAPEER -1 2 .6 X 1 ,6 7 3 ,0 5 6 3 ,7 0 3 176.2X 10.0A8 2 5 1 ,2 0 0 O.OX $ 1 7 .9 3 16.6X - 7 6 .9X 6 9 ,6 3 5 1 ,7 6 0 ,8 7 5 18,5 0 2 6 6 2 ,5 5 0 0.1X $ 3 3 .0 2 12.6X 266.6X 3 6 ,1 8 6 7.3X 1 6 1 ,0A9 A ,0 2 6 ,2 2 5 0.7X $ 6 6 .7 6 2 6 . IX - 6 . IX 616 ,5 7 1 1 5 ,6 1 6 .2 7 5 1 5 0 ,0 8 7 3 ,7 5 2 ,1 7 5 0.6 X $61 .7 1 2 3 .IX 16.5X 165,285 LIV. 2.9X 9 5 ,6 1 3 2 ,3 9 0 ,3 2 5 O.AX $ 2 3 .8 3 2 6 . 2X - 1 2 . 5X 3 9 5 ,5 6 2 9 ,8 8 9 ,0 5 0 9 6 ,0 0 2 2 ,6 0 0 ,0 5 0 O.AX $ 2 3 .9 3 2 2 .6X 13.7X 1 11,0 0 8 LUCE 57.2X 5 ,5 3 3 138,325 O.OX $ 2 0 .7 7 17.5X -5 3 .5 X 3 1 ,7 0 0 7 9 2 ,5 0 0 6 ,2 0 0 155,0 0 0 O.OX $ 2 3 .2 8 16.6X -7 .3 X 9 ,1 0 7 213.3X 2 5 ,825 6A 5.625 O .IX $ 6 3 .6 3 12.3X -B0.6X 2 0 9 ,6 1 3 5 ,2 3 5 ,3 2 5 1 3 ,1 6 2 3 2 8 ,5 5 0 0.1 X $ 3 2 .2 8 5.BX 36.9X 6 9 ,2 1 0 LEELANAU LENAWEE MACKINAC MACOMB -2.2X 2 ,0 3 1 ,5 6 6 5 0 ,7 8 9 ,1 5 0 8 . AX $ 7 3 .1 2 25.5X -1 .3 X 7 ,9 8 1 ,6 5 7 1 9 9 ,5 3 6 ,6 2 5 1 ,8 8 3 ,7 9 9 6 7 ,0 9 6 ,9 7 5 8 . IX $ 6 7 .8 0 30.6X MANISTEE 5B.2X 2 9 ,3 6 0 73A .000 O .IX $ 3 1 .8 9 2 3 . IX - 3 5 .9X 126,865 3 ,1 7 1 ,6 2 5 2 5 ,6 6 6 6 3 6 ,6 5 0 O .IX $ 2 7 .6 6 1 6 .OX 12.1X 3 3 ,7 8 8 MAROUETTE 9.2X 1A3.958 3 ,5 9 8 ,9 5 0 0.6X $ 6 8 .5 7 2 6 .6X -1 3 .9 X 5 8 9 ,8 5 7 1 6 ,7 6 6 ,6 2 5 123,150 3 .0 7 8 ,7 5 0 0.5 X $ 6 1 .5 5 2 2 .OX -2 .1 X 1 13,582 S.5X 2 ,0 3 8 ,2 7 9 MASON 52.6X 69.6A 3 1,7A 1,075 O.SX $ 6 6 .0 6 19.8X •68.6X 3 5 2 ,6 1 0 8 ,8 1 5 ,2 5 0 6 2 ,8 2 6 1 ,0 7 0 ,6 0 0 0.2 X $ 6 0 .6 1 1 6 .6X -2 7 .3 X 7 1 ,9 0 8 MECOSTA 20.3X 3 5 ,8 6 6 8 9 6 ,6 5 0 O .IX $ 2 6 .2 6 26.3X -5 .2 X 136.153 3 ,6 0 3 ,8 2 5 3 3 ,6 3 6 8 6 0 ,9 0 0 0.1X $ 2 2 .7 5 U .5 X 8.6X 3 6 ,0 2 2 MENOMINEE 21 .ax 32.A 22 8 1 0 ,5 5 0 0 .1 X $ 3 0 .9 6 2 5 .9X - 1 6 . IX 1 2 5 ,1 2 8 3 ,1 2 8 ,2 0 0 3 3 ,7 5 5 8 6 3 ,8 7 5 O .IX $32 .2 1 2 1 .5X 61 .OX 6 3 ,6 7 6 HIDLANO 11.2X 1A1.510 3 ,5 3 7 ,7 5 0 0.6X $ 6 8 .0 8 2 5 .9X -7 .6 X 5 65,961 1 3 ,6 6 8 ,5 2 5 129,355 3 ,2 3 3 ,8 7 5 0.6 X $ 6 3 .9 5 2S.7X 13.2X 131,271 COUNTY CHANGE FAMILY Q2toQ3 RESTAURANT SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL Q3toQ4 SALES SALES SALES TAX SALES TAX PER SALES PERCENT YEAR TAX REVENUES 1983 FAMILY RESTAURANT SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83{1)TO RESTAURANT SALES TAX SALES 1983 1983(4) PER SALES PERCENT YEAR CHANGE FAMILY 8 4 (1 ) SALES TAX TAX 19 8 4 (1 ) 1 9 8 4 (2 ) MISSAUKEE 1 7 .A* 7 ,5 7 2 1 8 9 ,300 O.OX $18 .9 1 22.9X -2 6 .9 X 3 3 ,0 0 7 8 2 5 ,1 7 5 5 ,6 8 2 142,0 5 0 O.OX $ 1 4 .1 9 18.8X -9 .2 X 7 ,5 4 0 MONROE 1 0 .9 * 1 0 7 .1 0 9 2 ,6 7 7 ,7 2 5 0.4X $ 1 9 .8 9 25.7X -8 .7 X 4 1 6 ,8 1 1 1 0 ,4 2 0 ,2 7 5 8 5 ,8 2 0 2 ,1 4 5 ,5 0 0 0.4 X $ 1 5 .9 3 2 2 .3 * -0 .9 X 106,1 3 0 MONTCALM 1 1 .IX 6 1 ,7 4 7 1 ,5 4 3 ,6 7 5 0.3X $ 3 2 .4 6 26.5X -8 .7 X 2 3 3 ,1 5 7 5 ,8 2 8 ,9 2 5 5 3 ,4 7 4 1 ,3 3 6 ,8 5 0 0.2X $ 2 8 .1 1 20.7X 2 4 .9 * 7 2 ,3 0 3 MONTH. 55.3X 1 4 ,1 6 2 3 5 4 ,0 5 0 0.1 X $ 4 7 .2 6 22.9X -4 2 .0 X 6 1 ,9 6 3 1 ,5 4 9 ,0 7 5 9 ,6 8 5 242 ,1 2 5 O.OX $ 3 2 .3 2 14.9X 26.9X 1 5 ,7 5 7 MUSKEGON 18.7X 2 3 6 ,4 3 9 5 ,9 1 0 ,9 7 5 1.0X $37 .5 1 25.9X -1 0 .4 X 9 1 2 ,9 5 6 2 2 ,8 2 3 ,9 0 0 2 4 5 ,9 3 6 6 ,1 4 8 ,4 0 0 1.1X $ 3 9 .0 2 2 2 .6 * 29.3X 2 8 6 ,5 5 8 NEWAYGO 19.2% 4 6 ,7 0 5 1 ,1 6 7 ,6 2 5 0.2X $ 3 3 .4 4 24.2X -2 1 .5 * 192 ,9 5 2 4 ,8 2 3 ,8 0 0 4 0 ,4 6 2 1 ,0 1 1 ,5 5 0 0.2X $ 2 8 .9 7 19.8X 9.6X 5 3 ,4 7 5 S.8X 3 ,3 1 4 ,7 0 6 8 2 ,8 6 7 ,6 5 0 13.7X $ 8 1 .9 0 2 5 .8 * -1 .6 X 1 2 ,8 3 8 ,0 7 7 3 2 0 ,9 5 1 ,9 2 5 3 ,3 2 1 ,6 4 4 8 3 ,0 4 1 ,1 0 0 14.2X $ 8 2 .0 7 29.5X OAKLAND 1 1 .8 * 3 ,5 5 6 ,1 0 6 OCEANA 36.3X 1 9 ,0 8 2 4 7 7 ,0 5 0 O .IX $ 2 1 .6 8 22.4X - 3 5 . 8X 8 5 ,3 5 8 2 ,1 3 3 ,9 5 0 1 6 ,5 9 6 4 1 4 ,9 0 0 O .IX $ 1 8 .8 6 1 6 .OX 12.8X 2 6 ,6 4 8 OGEMAW 40 .SX 5 9 ,5 4 7 1 ,4 8 8 ,6 7 5 0 .2 * $ 9 0 .5 7 26.6X - 2 5 .9 * 2 2 4 ,1 2 6 5 ,6 0 3 ,1 5 0 5 1 ,9 6 1 1 ,2 9 9 ,0 2 5 0.2 X $ 7 9 .0 4 2 1 .6X 9 2 .7 * 6 2 ,1 9 2 ONTONAGON 3 4 . IX 8 ,8 5 4 2 2 1 ,3 5 0 O.OX $ 2 2 .4 5 18.2X -4 4 .8 X 4 8 ,5 2 0 1 ,2 1 3 ,0 0 0 9 ,3 4 8 2 3 3 ,7 0 0 O.OX $ 2 3 .7 0 19.6X -1 9 .7 X 1 1 ,2 7 3 OSCEOLA 21.1X 2 1 ,8 0 3 5 4 5,075 O .IX $ 2 8 .8 0 2 6 .OX -1 4 .1 X 8 3 ,7 8 7 2 ,0 9 4 ,6 7 5 1 4 ,4 6 6 3 6 1 ,6 5 0 O .IX $ 1 9 .1 1 19.4X -7 .7 X 18 ,882 OSCOOA 7B.0X 15 ,904 3 9 7 ,6 0 0 O .IX $ 5 7 .9 8 2 5 .0 * -3 5 .4 X 6 3 ,6 6 5 1 ,5 9 1 ,6 2 5 10,365 259 ,1 2 5 O.OX $ 3 7 .7 8 1S.9X 11.7% 1 5 ,0 3 9 OTSEGO 1S.7X 5 8 ,7 8 4 1 ,4 6 9 ,6 0 0 0.2X $ 9 8 .0 2 17.6X -4 5 .4 * 333,181 8 ,3 2 9 ,5 2 5 4 6 ,0 7 3 1 ,1 5 1 ,8 2 5 0.2X $ 7 6 .8 2 2 0 .OX -3 7 .5 X 5 3 ,8 2 9 2 45,891 OTTAWA 6 . OX 21 0 ,2 0 9 5 ,2 5 5 ,2 2 5 0.9X $ 3 3 .4 4 2 3 .OX -2 0 .8 X 9 1 4 ,9 6 3 2 2 ,8 7 4 ,0 7 5 2 0 3 ,0 9 5 5 ,0 7 7 ,3 7 5 0.9X $ 3 2 .3 0 2 1 .5X 7.4X PRES. IS . 5 7 .1X 1 1 ,692 2 9 2 ,3 0 0 O.OX $ 2 0 .4 9 25.7X -25.9% 4 5 ,4 0 7 1 ,1 3 5 ,1 7 5 8 ,9 4 7 223,6 7 5 O.OX $ 1 5 .6 8 16.8X 13.5X 1 3 ,685 ROSCOMMON 67.9X 3 3 ,3 9 0 8 3 4 ,7 5 0 0.1X $ 5 0 .9 8 1 9 .4 * -5 1 .9 X 172,5 1 2 4 ,3 1 2 ,8 0 0 2 7 ,6 8 3 6 9 2 ,0 7 5 O .IX $ 4 2 .2 7 1 5 .7 * -2 .5 X 4 2 ,7 0 9 SAGINAW 2 0 . IX 5 5 8 ,8 8 3 1 3 ,9 7 2 ,0 7 5 2.3X $ 6 1 .2 7 26.8X -8 .2 X 2 ,0 8 1 ,9 6 3 5 2 ,0 4 9 ,0 7 5 4 5 0 ,4 0 2 1 1 ,2 6 0 ,0 5 0 1.9X $ 4 9 .3 7 20.4X 1 0 .7 * 5 5 4 ,6 0 8 ST. CLAIR 22.7X 23 3 ,9 5 9 5 ,8 4 8 ,9 7 5 1.0X $ 4 2 .1 4 23.2X -2 5 .4 X 1 ,0 0 8 ,0 2 7 2 5 ,2 0 0 ,6 7 5 2 2 2 ,5 2 7 5 ,5 6 3 ,1 7 5 1.0X $ 4 0 .0 8 20.8X 8.7X 2 8 6 ,4 4 7 ST.JOSEPH 4.9X 1 4 0 ,152 3 ,5 0 3 ,8 0 0 0.6X $ 6 2 .4 8 22.7X - 2 1 . 9X 6 1 7 ,5 5 5 1 5 ,4 3 8 ,8 7 5 144,0 3 0 3 ,6 0 0 ,7 5 0 0.6 X $ 6 4 .2 0 2 1 .8 * 13.5X 179,2 3 8 SANILAC 17.4X 3 1 ,1 4 5 778,625 O .IX $ 1 9 .0 9 2 4 .9 * -1 9 .3 X 125,2 7 9 3 ,1 3 1 ,9 7 5 2 7 ,0 9 6 6 7 7 ,4 0 0 O .IX $ 1 6.61 19.6% 19.8X 3 6 ,3 6 0 SCHCRFT. 8S.3X 1 4 ,370 3 5 9 ,2 5 0 O .IX $ 4 1 .9 0 2 4 .6X -4 1 .9 X 5 8 ,4 2 5 1 ,4 6 0 ,6 2 5 6 ,1 9 3 154,825 O.OX $ 1 8 .0 6 10.5X 3.5 X 14,431 8 . OX 9 4 ,3 8 0 2 ,3 5 9 ,5 0 0 0.4 X $ 3 3 .1 7 2 5 .4 * -7 .2 X 3 7 0 ,8 9 0 9 ,2 7 2 ,2 5 0 9 3 ,1 0 7 2 ,3 2 7 ,6 7 5 0.4 X $ 3 2 .7 2 a.oe 15.6X 109,091 TUSCOLA -2 .3 X 6 0 ,0 5 8 1 ,5 0 1 ,4 5 0 0.2X $ 2 6 .3 6 2 5 .9 * 1 .0 * 2 3 2 ,2 4 8 5 ,8 0 6 ,2 0 0 4 9 .8 7 8 1 ,2 4 6 ,9 5 0 0 .2X $ 2 1 .8 9 2 2 .OX -3 .9 X 5 8 ,6 4 7 VAN BUREN 2 4 .8 * 7 2 ,4 1 4 1 ,8 1 0 ,3 5 0 0.3X $ 2 7 .1 0 2 1 .SX -3 4 .9 X 3 3 6 .5 0 7 8 ,4 1 2 ,6 7 5 5 4 ,3 7 9 1 ,3 5 9 ,4 7 5 0 .2 * $ 2 0 .3 5 17.3X -14.7% 8 8 ,9 1 7 1.3X 52 3 ,3 0 6 1 3 ,0 8 2 ,6 5 0 2.2X $ 4 9 .4 2 2 5 . 7X 0.4X 2 ,0 3 7 ,6 9 9 5 0 ,9 4 2 ,4 7 5 5 1 8 ,9 5 9 1 2 ,9 7 3 ,9 7 5 2.2X $ 4 9 .0 0 2 3 .8 * 6.6X 5 3 5 ,0 4 8 -1 .7 X 4 ,6 0 9 ,5 4 4 1 1 5 ,2 3 8 ,6 0 0 1 9 .IX $ 4 9 .2 9 26.2X 4.8X 1 7 ,5 8 1 ,5 5 3 4 3 9 ,5 3 8 ,8 2 5 4 ,5 7 4 ,5 2 5 1 1 4 ,3 6 3 ,1 2 5 19.6X $ 4 8 .9 2 23.3X SHIAWASSE WASHTENAW WAYNE WEXFORD 7.6X 5 6 ,9 3 5 1 ,4 2 3 ,3 7 5 OUT/STATE S.2X 3 ,8 2 9 ,0 1 5 9 5 ,7 2 5 ,3 7 5 0.2X $ 5 6 .7 0 15.9X 21.9X - 2 6 . OX 2 5 9 ,9 6 0 6 ,4 9 9 ,0 0 0 4 9 ,4 1 3 1 ,2 3 5 ,3 2 5 26.9X 0.9X 1 4 ,2 5 4 ,3 0 1 3 5 6 ,3 5 7 ,5 2 5 3 ,9 8 7 ,1 5 8 9 9 ,6 7 8 ,9 5 0 0.2 X $ 4 9 .2 1 17.1X 11.7% 5 ,0 9 7 ,3 3 2 1 9 .8 * -9 .4 X 2 3 .9 * 31.9% 3 ,8 9 7 ,5 2 8 6 4 ,7 8 8 COUNTY CHANGE FAMILY Q2toQ3 RESTAURANT SALES REVENUES SALES TAX PERCENT PER PERCENT CHANGE OF TOTALCAPITA OF TOTAL G3toQ4 SALES SALES YEAR TOTAL TOTAL SALES SALES RESTAURANT REVENUES SALES TAX TAX TAX 1983 COUNTY AV PERCENT PER PERCENT 6 ,1 1 3 ,2 7 1 100.0X 2S.3X $ 5 4 .7 8 -7 .2 X SALES SALES YEAR 2 4 ,4 4 8 ,0 8 9 8 4 (1 ) SALES TAX TAX 1 9 6 4 (2 ) 9 5 ,4 2 1 ,9 5 8 2 ,3 8 5 ,5 4 8 ,9 5 0 2 3 ,3 5 8 ,3 2 4 5 8 3 ,9 5 8 ,1 0 0 9 7 7 ,9 2 4 CHANGE FAMILY OF TOTAL CAPITA OF TOTAL 83(1)T O RESTAURANT 1 9 8 4 (1 ) 7.8 X 2 4 .1 2 3 ,0 7 5 6 0 3 ,1 2 6 ,8 7 5 2 4 4 ,5 3 1 SALES REVENUES 1983 1 9 8 3 (4 ) TOTAL FAMILY 2 3 3 ,3 8 8 5 ,8 3 4 ,6 8 9 100.0X 2 4 .2 X $ 5 2 .2 9 1 0 .2 X 2 5 ,8 4 8 ,9 6 7 2 6 4 ,4 7 5 ro oo o COUNTY PERCENT OF TOTAL CAPITA OF TOTAL 83(2)T O RESTAURANT REVENUES SALES PER PERCENT SALES REVENUES SALES YEAR CHANGE FAMILY 8 4 (2 ) SALES SALES TAX TAX PERCENT PER PERCENT CHANGE FAMILY SALES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL B3(3)TO RESTAURANT REVENUES OF TOTAL CAPITA O f TOTAL B 3(4)T 0 SALES SALES SALES YEAR 8 4 (3 ) SALES TAX TAX SALES YEAR 8 4 (4 ) TAX 1 9 8 4 (3 ) 1 9 8 4 (4 ) ALCONA 2 7 4 ,0 5 0 O.OX S 28.14 2 4 .9X -4 .3 X 1 7 ,605 4 4 0 ,1 2 5 0.1 X * 4 5 .1 9 4 0 . OX •B.4X 1 0 ,7 7 6 2 6 9 ,4 0 0 O.OX S 2 7 .6 6 24.5X -6 .3 X ALGER 1 4 2,775 O.OX S 1S .48 2 1 . IX -2 2 .6 X 1 3 ,9 3 4 3 4 8 ,3 5 0 O .IX ( 3 7 .7 6 5 1 .SX 11.2X 4 ,5 2 1 113,0 2 5 O.OX * 1 2 .2 5 16.7X -S 5 .4 X ALLEGAN 3 ,2 0 8 ,1 7 5 0 .5 X S 39.34 26.ex 3.4 X 1 4 9 ,7 0 7 3 ,7 4 2 ,6 7 5 0 .7 X S 4S .89 3 1 .2X -6 .0 X 1 0 9 ,7 2 7 2 ,7 4 3 ,1 7 5 0.4 X * 3 3 .6 4 22.9X -0 .2 X ALPENA 2 ,3 9 0 ,9 7 5 0.4X S 7 3 .9 9 26.3X 12.7X 109,0 9 5 2 ,7 2 7 ,3 7 5 0 .5 X * 8 4 .4 0 3 0 .OX 4.8X 8 0 ,3 5 2 2 ,0 0 8 ,8 0 0 O.SX S 6 2 .1 6 2 2 . IX -2 .5 X ANTRIM 9 3 6 ,1 5 0 O .IX S 57.81 2 6 .OX 36.4X 5 7 ,3 4 5 1 ,4 3 3 ,6 2 5 0 .3 X * 8 8 .5 3 39.9X 14.SX 2 6 ,6 9 6 6 6 7 ,4 0 0 0.1 X * 4 1.21 18.6X 1 4 .IX ARENAC 5 2 8 ,3 0 0 O .IX S 3 5 .9 2 28.4X -1 .8 X 2 7 ,5 4 4 6 8 8 ,6 0 0 O .IX * 4 6 .8 2 3 7 . OX -1 2 .5 X 1 4 ,0 0 0 3 5 0 ,0 0 0 O .IX * 2 3 .8 0 18.8X -1 7 .5 X BARAGA 2 5 0 ,0 2 5 O.OX S 2 9 .4 7 2 6 .OX 1S.4X 13,4 3 5 3 3 5 ,8 7 5 0 .1 X * 3 9 .5 9 34.9X 20.4X 7 ,5 8 2 1 8 9 ,5 5 0 O.OX * 2 2 .3 4 19.7X -1 6 .4 X BARRY 1 ,3 8 2 ,5 7 5 0.2X * 3 0 .2 0 2 6 .OX 15.7X 5 5 ,2 3 3 1 ,3 8 0 ,8 2 5 0 .3 X * 3 0 .1 6 2 5 .9X -9 .3 X 5 3 ,1 3 6 1 ,3 2 8 ,4 0 0 0.2X * 2 9 .0 2 24.9X 9.4 X BAY 6 ,2 6 6 ,0 7 5 1.0X * 5 2 .2 7 24.7X 6.3 X 2 7 3 ,3 6 4 6 ,8 3 4 ,1 0 0 1.3X *57 .0 1 26.9X 9.5X 2 6 4 ,9 7 9 6 ,6 2 4 ,4 7 5 1.0X * 5 5 .2 6 2 6 . IX 7.8X 9 7 5 ,2 0 0 0.2X * 8 7 .0 3 2 1 .3X 7 .7X 8 0 ,3 9 0 2 ,0 0 9 ,7 5 0 0 .4X S 179.36 43.9X 5 . OX 3 0 ,6 6 5 7 6 6 ,6 2 5 O .IX S 6 8 .4 2 16.8X -15.9% BENZIE BERRIEN 6 ,2 8 3 ,0 5 0 1.0X S 3 6 .6 8 26.6X 3 .8 X 2 7 2 ,8 3 5 6 ,8 2 0 ,8 7 5 1.3X * 3 9 .8 2 28.9X -4 .9 X 2 2 0 ,7 3 2 5 ,5 1 8 ,3 0 0 O.SX S 3 2 .2 2 23.4X 5.3 X BRANCH 1 ,7 4 8 ,1 2 5 0.3X S 4 3 .5 0 2 6 .OX 15.9X 7 4 ,9 5 8 1 ,8 7 3 ,9 5 0 0 .4 X * 4 6 .6 3 27.9X 7.9X 6 5 ,4 3 0 1 ,6 3 5 ,7 5 0 0 .2 X * 4 0 .7 0 24.4X -1 .3 X CALHOUN 1 8 ,4 3 1 ,6 5 0 2.9X S130.21 22.5X -4 .3 X 7 7 6 ,9 9 6 1 9 ,4 2 4 ,9 0 0 3.8X X137.22 2 3 .7X -1 3 .2 X 1 ,0 9 9 ,0 1 0 2 7 ,4 7 5 ,2 5 0 5 0 9 ,9 0 0 O .IX S 1 0 .3 3 26.7X 4 . IX 2 2 ,3 6 3 5 5 9 ,0 7 5 O .IX * 1 1 .2 9 29.3X 3.5X 1 5 ,208 1 ,0 3 3 ,2 0 0 0 .2 X * 5 1 .9 0 21 .ex 2.9 X 8 6 ,4 4 2 2 ,1 6 1 ,0 5 0 0 .4X * 1 0 8 .5 6 4 5 .6X -4 .2 X 7 9 5 ,1 5 0 0.1X S38.51 2 4 .9X 7 . OX 4 8 ,8 8 3 1 ,2 2 2 ,0 7 5 0.2 X * 5 9 .1 8 38.3X 5.8X 2 ,4 1 1 ,5 5 0 0.4X * 8 3 .0 7 2 4 .6X 6 .6 X 1 39 ,6 5 4 3 ,4 9 1 ,3 5 0 0 .7X S 120.27 3 5 . 7X 8 4 9 ,9 2 5 O .IX * 3 5 .6 8 26.2X 3.2X 4 0 ,1 5 8 1 ,0 0 3 ,9 5 0 0.2X * 4 2 ,1 4 30.9X 1 ,2 5 1 ,2 5 0 0.2X * 2 2 .3 9 26.8X -1 4 .8 X 5 2 ,6 1 0 1 .3 1 5 ,2 5 0 0.3 X * 2 3 .5 3 7 9 7 ,2 0 0 O .IX * 8 4 .2 3 23.3X 36.7X 4 8 ,3 0 5 1 ,2 0 7 ,6 2 5 0 .2X S127.59 2 ,9 5 3 .7 2 5 O.SX * 7 5 .8 4 2 5 .3X 4.8 X 1 4 2 ,9 9 6 3 ,5 7 4 ,9 0 0 0.7X * 9 1 .7 9 5 6 1 ,7 0 0 O .IX S 2 2 .1 7 23.2X -1 7 .8 X 2 5 ,8 6 5 6 4 6 .6 2 5 EATON 3 ,4 0 6 ,0 0 0 O.SX * 3 8 .5 6 2 6 .7X 15.9X 137,124 EM4ET 1 ,9 4 1 ,0 0 0 0.3X * 8 4 .4 2 2 0 .2X -1 0 .3 X 2 0 1 ,6 7 6 GENESSE 2 7 ,5 2 3 ,0 7 5 4.3X * 6 1 .1 0 3 3 . IX 13.1X GLADWIN 9 6 2 ,5 0 0 O .IX ( 4 8 .2 3 24.7X GOGEBIC 4 3 7 ,9 7 5 O .IX * 2 2 .2 5 20.3X 7 ,8 5 3 ,4 0 0 1.2X S143.05 24.2X 3 1 . 2X CASS CHARLVX. CHEBOYGAN CHIPPEWA CLARE CLINTON CRAWFORD DELTA DICKINSON GR. TRAV. 4 .1X S 194.09 33.6X 5 0 .OX 3 8 0 ,2 0 0 O .IX 19.9X •1 5 .3 X 3 5 ,0 5 0 8 7 6 ,2 5 0 0.1 X * 4 4 .0 2 18.SX 6.5 X 2 6 ,8 4 2 6 7 1 ,0 5 0 O .IX S 3 2 .5 0 21 .OX 10.4X -1 2 .4 X 7 9 ,7 8 7 1 ,9 9 4 ,6 7 5 0.3 X * 6 8.71 20.4X -1 .6 X 3.2 X 2 9 ,4 8 3 7 3 7 ,0 7 5 O .IX * 3 0 .9 4 22.7X -7 .2 X 28.2X •18 .8 X 4 4 .0 2 7 1 ,1 0 0 .6 7 5 0.2 X * 1 9 .6 9 23.6% -24.4% 3 5 . 3X 25.4X 3 1 ,7 5 7 7 9 3 ,9 2 5 O .IX S 8 3 .8 8 23.2% 42 .1 X 3 0 .6X 3.8X 110,416 2 ,7 6 0 ,4 0 0 0.4 X * 7 0 .8 8 23.6X 9 .7 X O .IX * 2 5 .5 2 2 6 .7X •16.6X 2 4 ,3 4 6 6 0 8 ,6 5 0 O.IX * 2 4 .0 2 25.2X - 6 . IX 3 ,4 2 8 ,1 0 0 0.7 X *38 .8 1 26.8X 16.8% 126,759 3 ,1 6 8 ,9 7 5 0.5 X * 3 5 .8 7 24.8X 1 5 .IX 5 ,0 4 1 ,9 0 0 1.0X S219.29 5 2 . SX 13.2X 5 9 ,7 4 7 1 ,4 9 3 ,6 7 5 0.2X * 6 4 .9 6 15.5X 2.3X 1 1 3 ,3 2 9 2 ,8 3 3 ,2 2 5 O.SX * 6 .2 9 3.4X - 8 9 . IX 1 ,0 9 0 ,9 5 1 2 7 ,2 7 3 ,7 7 5 4 . IX * 6 0 .5 5 3 3 .OX 7.7X 10.4X 5 2 ,6 5 6 1 ,3 1 6 ,4 0 0 O.SX ( 6 5 .9 6 3 3 .BX 24.7X 4 0 ,7 5 3 1 ,0 1 8 ,8 2 5 0.2X SSI .0 5 26.2% 38.4X 2 1 .6X 2 3 ,9 6 2 5 9 9 ,0 5 0 O .IX * 3 0 .4 3 27.8X 4 3 .OX 2 4 ,5 0 4 6 1 2 ,6 0 0 O .IX * 3 1 .1 2 2B.4X 81.4X 4 4 5 ,4 7 3 1 1 ,1 3 6 ,8 2 5 2 .2X S202.86 3 4 . IX -2 .2 X 292,191 7 ,3 0 4 ,7 7 5 1.1X S133.06 22.5X O.SX * 7 .6 8 COUNTY SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83(2)T O RESTAURANT REVENUES SALES PER SALES PERCENT YEAR CHANGE FAMILY 8 4 (2 ) SALES SALES TAX PERCENT SALES TAX PER PERCENT CHANGE FAMILY SALES OF TOTAL CAPITA OF TOTAL 83(3)TO RESTAURANT REVENUES SALES YEAR 8 4 (3 ) SALES TAX PERCENT SALES TAX PER PERCENT ■ CHANGE OF TOTAL CAPITA OF TOTAL B 3(4)T 0 SALES YEAR 8 4 (4 ) TAX 1 9 8 4 (3 ) 1 9 8 4 (4 ) GRATOIY 1 ,0 4 5 ,5 2 S 0 .2 X $ 2 5 .8 5 24.7X -1 8 .0 X 4 3 ,2 5 8 1 ,0 8 1 ,4 5 0 0.2 X $ 2 6 .7 4 25.5X -2 0 .3 X 4 4 ,7 8 1 1 ,1 1 9 ,5 2 5 0 .2 X $ 2 7 .6 8 26.4X 1.7X HILLSDALE 2 ,4 4 2 .6 7 5 0.4X $ 5 8 .0 6 26.9X 22.2X 1 0 1 ,4 5 0 2 ,5 3 6 ,2 5 0 0 .5 X $ 6 0 .2 8 27.9X -2 8 .7 X 8 1 ,7 5 0 2 ,0 4 3 ,7 5 0 O.SX $ 4 8 .5 8 22.5X 0.1 X HOUGHTON HURON INGHAM 7 3 5 ,2 0 0 O .IX $ 1 9.41 2 4 .6X - 2 0 . IX 3 9 ,2 4 9 9 8 1 ,2 2 5 0.2 X $ 2 5.91 32.9X - 2 2 . OX 2 6 ,2 0 9 6 5 5 ,2 2 5 O .IX S 1 7 .3 0 2 2 .OX 7 .9X 1 ,7 9 7 ,7 0 0 0.3X $ 4 9.31 25.2X 14.4X 9 5 ,9 9 8 2 ,3 9 9 ,9 5 0 0 .5 X $ 6 5 .8 3 33.7X 1 2 .OX 6 3 ,8 9 6 1 ,5 9 7 ,4 0 0 0.2 X $ 4 3 .8 1 22.4X 4 .7 X 1 5 ,5 7 5 ,1 0 0 2.4X $ 5 6 .5 3 24.ex 7.6X 6 5 9 ,0 6 5 1 6 ,4 7 6 ,6 2 5 3 .2 X $ 5 9 .8 0 26.3X 12.2X 6 2 1 ,1 1 9 1 5 ,5 2 7 ,9 7 5 2 .3 X S 5 6 .3 6 24.7X 3.3X IONIA 1 ,2 7 4 ,7 0 0 0.2X $ 2 4 .6 0 2 7 .IX 2 0 . IX 5 0 ,6 1 5 1 ,2 6 5 ,3 7 5 0.2 X $ 2 4 .4 2 26.VX 2.3X 4 3 ,3 4 0 1 ,0 8 3 ,5 0 0 0 .2 X $ 2 0 .9 1 2 3 .OX •O.SX IOSCO 1 ,5 4 6 ,5 2 5 0.2X $ 5 4 .5 5 2 5 .OX 2 6 . IX 9 1 ,8 2 8 2 ,2 9 5 ,7 0 0 0.4 X $ 8 0 .9 8 3 7 . IX 9.7X 5 4 ,8 5 6 1 ,3 7 1 ,4 0 0 0.2 X $ 4 8 .3 8 22.1X 23.7X 7 3 0 ,0 0 0 O .IX $ 5 3 .5 4 2 4 .9X 20.5X 3 5 ,7 9 3 8 9 4 ,8 2 5 0.2 X $ 6 5 .6 3 3 0 .SX 12.6X 2 8 ,7 6 5 719 ,1 2 5 O .IX $ 5 2 .7 4 24.5X 11.6X ISABELLA 3 ,7 1 0 ,8 2 5 0.6X $ 6 8 .5 8 2 5 .7X 15.7X 168,291 4 ,2 0 7 ,2 7 5 O.SX $ 7 7 .7 5 2 9 . IX 2 3 .6X 144 ,6 6 2 3 ,6 1 6 ,5 5 0 O.SX $ 6 6 .8 4 2 5 .OX 17.4X JACKSON 1 0 ,3 6 1 ,3 5 0 1.6X $ 6 8 .3 9 25.7X 13.6X 4 2 1 ,4 7 4 1 0 ,5 3 6 ,8 5 0 2 . OX $ 6 9 .5 5 26.1X 6.2X 4 2 0 ,8 2 9 1 0 ,5 2 0 ,7 2 5 1.6X $ 6 9 .4 5 2 6 . IX 12.2X KALAMAZOO 1 0 ,9 2 6 ,7 0 0 1.7X $ 5 1 .4 5 2 6 . IX 14.6X 4 2 9 ,7 9 7 1 0 ,7 4 4 ,9 2 5 2 . IX $ 5 0 .5 9 25.7X 10.6X 4 1 6 ,4 3 9 1 0 ,4 1 0 ,9 7 5 1.6X $ 4 9 .0 2 24.9X 7.4X 9 0 5 ,7 2 5 O .IX $ 8 2 .7 0 2 3 .6X 1 1 .2X 5 1 ,3 4 8 1 ,2 8 3 ,7 0 0 0.2X S117.21 33.5X 26.1X 3 6 ,9 6 0 9 2 4 ,0 0 0 O .IX $ 8 4 .3 7 2 4 . IX 24.9X 3 6 ,8 2 6 ,4 0 0 5.7X $ 8 2 .8 5 31 .OX -8 .6 X 4 6 0 ,3 9 7 1 1 ,5 0 9 ,9 2 5 2.2 X $ 2 5 .8 9 9.7X -6 7 .7 X 1 ,4 9 7 ,6 2 4 3 7 ,4 4 0 ,6 0 0 5.6 X $ 8 4 .2 3 3 1 .6X 5.2X 9 2 ,5 7 5 O.OX $ 4 7 .1 6 22.6X 538.4X 10,181 2 5 4 ,5 2 5 0 .0X S129.66 6 2 .2X 6 3 .6X 2 8 ,8 2 5 O.OX $ 1 4 .6 8 7.0X -1 3 .3 X -1 8 .9 X IRON KALKASKA KENT KEUEEMAU LAKE LAPEER LEELANAU 1 ,1 5 3 199,125 O.OX $ 2 5 .8 2 26.5X 0 .1X 10,1 7 4 2 5 4 ,3 5 0 O.OX $ 3 2 .9 9 33.9X -3 .6 X 7 ,1 5 6 1 7 8 ,9 0 0 O.OX $ 2 3 .2 0 23.9X 3 ,2 5 5 ,1 2 5 0.5X $ 4 6 .4 8 15.4X 1 4 0 ,6 8 6 3 ,5 1 7 ,1 5 0 0.7 X $ 5 0 .2 2 28.3X 1 6 .IX 124,441 3 ,1 1 1 ,0 2 5 0.5X $ 4 4 .4 2 2S.0X 16.4X 8 5 4 ,6 0 0 0.1X $61.01 2 6 .1X 2 2 .8X 135.9X 7 0 ,9 1 3 1 ,7 7 2 ,8 2 5 0 .3 U 1 2 6 .5 7 47.4X 77.2X 2 6 ,1 2 6 6 5 3 ,1 5 0 O .IX $ 4 6 .6 3 17.4X 1 6 0 .OX -2 .1 X LENAUEE 4 ,1 3 2 ,1 2 5 0.6X $ 4 5 .9 4 25.5X 5 .6X 1 7 5 ,7 3 7 4 ,3 9 3 ,4 2 5 0 .9 X $ 4 8 .8 4 2 7 . IX 4.6X 1 5 7 ,7 3 6 3 ,9 4 3 ,4 0 0 0.6X $ 4 3 .8 4 24.3X L1V. 2 ,7 7 5 ,2 0 0 0.4X $ 2 7 .6 7 2 5 .9X 4.5X 1 17,0 6 4 2 ,9 2 6 ,6 0 0 0 .6 X $ 2 9 .1 8 27.3X 7.1X 104 ,0 0 2 2 ,6 0 0 ,0 5 0 0.4 X $ 2 5 .9 3 2 4.3X 8.8X LUCE 2 2 7,675 O.OX $ 3 4 .1 9 2 4 .4X 20.3X 1 4 ,4 6 7 3 6 1 ,6 7 5 O .IX $ 5 4.31 38.7X 2 1 .5X 7 ,6 0 6 190 ,1 5 0 O.OX $ 2 8 .5 6 20.3X 37.5X 57.6X -1 .3 X 33,231 8 3 0 ,7 7 5 O .IX $ 8 1 .6 2 14.7X 28.7X - 9 4 . 7X 2 ,1 2 8 ,8 0 5 5 3 .2 2 0 ,1 2 5 8 . OX $ 7 6 .6 2 34.6X 4.8 X 10.9X 1 ,2 3 0 ,2 5 0 0 .2X $120.87 2 1 .8X 1 7 .OX 130,0 7 0 3 ,2 5 1 ,7 5 0 0.6X S319.49 5 0 .9 5 6 ,9 7 5 7.9X $ 7 3 .3 6 3 3 . 1X -3 .2 X 1 0 8 ,1 5 2 2 ,7 0 3 ,8 0 0 0.5 X $ 3 .8 9 1.8X 8 4 4 ,7 0 0 O .IX $ 3 6 .7 0 2 3 .9X 16.7X 4 9 ,8 0 7 1 ,2 4 5 ,1 7 5 0 .2 X $ 5 4 .0 9 35.2X HAROUETTE 2 ,8 3 9 ,5 5 0 0.4X $ 3 8 .3 2 20.3X - 2 5 .ex 1 7 5 ,2 1 9 4 ,3 8 0 ,4 7 5 O.SX $59.11 MASON 1 ,7 9 7 ,7 0 0 O.SX $ 6 8 .1 9 2 4 . ZX -1B.9X 120,4 4 4 3 ,0 1 1 .1 0 0 0.6X S114.21 MACKINAC MACOMB MANISTEE 8 .7X 3 2 ,5 5 3 8 1 3 ,8 2 5 O .IX $ 3 5 .3 5 2 3 .OX 3 1 .3X 4 .8X 147,711 3 ,6 9 2 ,7 7 5 0.6 X $ 4 9 .8 3 26.4X 2.6X 40.5X -1 1 .0 X 6 2 ,5 3 5 1 ,5 6 3 ,3 7 5 0.2X $ 5 9 .3 0 2 1 .OX -1 0 .2 X 9 0 0 ,5 5 0 O .IX $ 2 4 .3 6 25.2X 14.5X 3 8 ,5 0 4 9 6 2 ,6 0 0 0.2 X $ 2 6 .0 4 26.9X 1.7X 3 4 ,9 7 8 8 7 4 ,4 5 0 O .IX $ 2 3 .6 6 24.4X -2 .5 X MENOMINEE 1 ,0 9 1 ,8 5 0 0.2X $ 4 1 .6 7 27.8X 40.BX 4 2 ,1 9 7 1 ,0 5 4 ,9 2 5 0.2 X $ 4 0 .2 6 26.8X 11. e x 3 7 ,6 0 6 9 4 0 ,1 5 0 O .IX $ 3 5 .8 8 23.9X 16.0X MIDLAND 3 ,2 8 1 ,7 7 5 0.5X $ 4 4 .6 0 2 6 . IX -4 .5 X 118,6 6 4 2 ,9 6 6 ,6 0 0 0.6 X $ 4 0 .3 2 23.6X -2 2 .3 X 123 ,2 2 0 3 ,0 8 0 ,5 0 0 O.SX $ 4 1 .8 7 24.5X -1 2 .9 X MECOSTA COUNTY SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83(2)TO RESTAURANT REVENUES PER OF TOTAL CAPITA OF TOTAL 83(3)TO RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL 83(4)TO SALES SALES SALES SALES PERCENT YEAR CHANGE FAMILY 8 4 (2 ) SALES SALES TAX TAX PERCENT PER SALES PERCENT YEAR CHANGE FAMILY 8 4 (3 ) SALES TAX TAX PERCENT PER SALES PERCENT YEAR CHANGE 8 4 (4 ) TAX 1 9 8 4 (3 ) MISSAUKEE SALES 1 9 8 4 (4 ) 188,300 O.OX $ 1 8 .8 3 2 5 .OX -1 4 .5 X 9 ,5 3 2 2 3 8 ,3 0 0 O.OX $23 .8 1 3 1 .6X -8 .0 X 7 ,4 3 0 1 8 5 ,7 5 0 O.OX $ 1 8 .5 6 24.6X -1 .9 X MONROE 2 ,6 3 3 ,2 5 0 O.AX $ 1 9 .7 0 27.5X 0.3X 1 0 1 ,5 7 8 2 ,5 3 9 ,4 5 0 0 .5 X $ 1 8 .8 6 26.4X -1 3 .4 X 9 1 ,7 3 5 2 ,2 9 3 ,3 7 5 O.SX $ 1 7 .0 3 23.8X -1 4 .4 X MONTCALM 1 ,8 0 7 ,5 7 5 0.3X $38 .0 1 2 8 . OX is .re 73,9 5 1 1 ,8 4 8 ,7 7 5 O.AX $ 3 8 .8 8 28.6X 9.3 X 5 8 ,6 8 0 1 ,4 6 7 ,0 0 0 0.2 X $ 3 0 .8 5 22 . re -5 .0 X 3 9 3,925 O .IX $ 5 2 .5 8 24.2X O.IX 2 5 ,5 3 0 6 3 9 ,5 0 0 O .IX $ 8 5 .3 6 39.3X 4. re 14 ,034 3 5 0 ,8 5 0 O .IX $ 4 6 .8 3 2 1 .6X -0 .9 X 7 ,1 6 3 ,9 5 0 1.1X $ 4 5 .4 6 26.4X 28.6X 2 8 9 ,1 0 3 7 ,2 2 7 ,5 7 5 1.4X $ 4 5 .8 6 26.6X 9.SX 2 6 5 ,7 7 2 6 ,6 4 4 ,3 0 0 1.0X $ 4 2 .1 6 24.4X 12.4X 4.2 X 4 8 ,3 9 8 1 ,2 0 9 ,9 5 0 0.2 X $ 3 4 .6 5 •B2.2X 3 ,7 9 9 ,1 4 4 9 4 ,9 7 8 ,6 0 0 14.3X $ 9 3 .8 7 23 . re 33 . re 14.6X MONTH. MUSKEGON NEUAYGO 1 ,3 3 6 ,8 7 5 0 .2 X $ 3 8 .2 9 26.2X 7.2X 6 1 ,9 6 5 1 ,5 4 9 ,0 7 5 0 .3 X $ 4 4 .3 6 30.3X OAKLAND 8 8 ,9 0 2 ,6 5 0 13.8X $ 8 7 .8 7 3 1 .5X i i . re 600,1 1 1 1 5 ,0 0 2 ,7 7 5 2.9 X $ 1 4 .8 3 5.3X OCEANA 6 6 6 ,2 0 0 O .IX $ 3 0 .2 8 2S.7X 2 2 . IX 3 7 ,1 7 1 9 2 9 ,2 7 5 0.2 X $ 4 2 .2 4 3 5 .8X 2 5 .OX 2 3 ,4 5 2 5 8 6 ,3 0 0 O .IX $ 2 6 .6 5 22.6X 22.9X OGEMAU 1 ,5 5 4 ,8 0 0 0.2X $ 9 4 .6 0 2S.8X 8.7X 6 9 ,4 8 2 1 ,7 3 7 ,0 5 0 0 .3 X S 1 0 5 .6 9 28.8X -1 3 .6 X 5 7 ,3 2 9 1 ,4 3 3 ,2 2 5 0.2 X $ 8 7 .2 0 23.8X -3 .7 X ONTONAGON 2 8 1 ,825 O.OX $ 2 8 .5 8 23.6X -5 .8 X 16,751 4 1 8 ,7 7 5 O .IX $ 4 2 .4 7 3 5 . IX 4.3 X 1 0 ,3 2 9 2 5 8 ,2 2 5 O.OX $ 2 6 .1 9 2 i.re 16.7X OSCEOLA 4 7 2 ,0 5 0 O .IX $ 2 4 .9 4 25.3X -9 .8 X 2 1 ,9 5 9 5 4 8 ,9 7 5 O .IX $ 2 9 .0 0 29.4X -1 3 .4 X 19,365 4 8 4 ,1 2 5 O .IX $ 2 5 .5 8 25.9X -1 1 .2 X OSCODA 3 7 5 ,9 7 5 O .IX $ 5 4 .8 2 27.4X 8.6X 1 7 ,4 9 9 4 3 7 ,4 7 5 O .IX $ 6 3 .7 9 3 1 .9X - 2 9 . OX 1 2 ,0 2 2 3 0 0 ,5 5 0 O.OX $ 4 3 .8 2 2 1 .9X -24.4% OTSEGO 1 ,3 4 5 ,7 2 5 0.2X $ 8 9 .7 6 23.3X - 4 2 . IX 8 0 ,8 1 9 2 ,0 2 0 ,4 7 5 0 .4X S134.76 3 5 .OX -2 4 .9 X 5 0 ,0 7 7 1 ,2 5 1 ,9 2 5 0.2 X $ 8 3 .5 0 2 i . re -1 4 .8 X OTTAWA 6 ,1 4 7 ,2 7 5 1.0X $39.11 2 6 .OX -1.BX 2 7 5 ,4 0 7 6 ,8 8 5 ,1 7 5 1.3X $43 .8 1 29.2X 3.8 X 2 2 0 ,3 2 8 5 ,5 0 8 ,2 0 0 O.SX $ 3 5 .0 5 23.3X 4 .8 X 3 4 2 ,1 2 5 O .IX $ 2 3 .9 8 25 . re 36.2X 1 7 ,6 5 2 4 4 1 ,3 0 0 O .IX $ 3 0 .9 3 33.2X 1 1 .8X 1 2 ,9 1 2 3 2 2 ,8 0 0 O.OX $ 2 2 .6 3 24.3X 10.4X PRES. IS . 3.6X 1 ,0 6 7 ,7 2 5 0.2X $65.21 24.2X 3.3X 70,9 4 1 1 ,7 7 3 ,5 2 5 0.3X S108.31 40.2X 2.2 X 3 5 ,2 3 0 8 8 0 ,7 5 0 0.1 X $ 5 3 .7 9 2 0 .OX 5.5X 1 3 ,8 6 5 ,2 0 0 2 . IX $ 6 0 .8 0 2 5 .IX 9.4 X 6 0 9 ,2 6 7 1 5 ,2 3 1 ,6 7 5 2 .9 X $ 6 6 .7 9 27.6X O.OX 5 9 6 ,2 9 6 1 4 ,9 0 7 ,4 0 0 2.2 X $ 6 5 .3 7 27.0X 6. ST. CLAIR 7 ,1 6 1 ,1 7 5 1.1X $ 5 1 .5 9 2 6 .BX 1 2 .OX 310,0 1 1 7 ,7 5 0 ,2 7 5 1.5X $ 5 5 .8 4 2 9 .OX -1 .2 X 2 5 1 ,6 8 7 6 ,2 9 2 ,1 7 5 0.9 X $ 4 5 .3 3 23.5X 7.6% ST.JOSEPH 4 ,4 8 0 ,9 5 0 0.7X $ 7 9 .9 0 2 7 . IX 4.8X 184,055 4 ,6 0 1 ,3 7 5 0 .9 X $ 8 2 .0 5 27.8X 2.6X 1 5 3 ,9 6 6 3 ,8 4 9 ,1 5 0 0.6 X $ 6 8 .6 3 23.3X 9.9X 9 0 9 ,0 0 0 O .IX $ 2 2 .2 9 26.3X 1 0 .SX 4 4 ,8 3 1 1 ,1 2 0 ,7 7 5 0 .2 X $ 2 7 .4 8 32.4X 1 6 . IX 3 0 ,0 9 4 7 5 2 ,3 5 0 O .IX $ 1 8 .4 4 21 . re -3 .4 X - 9 . IX ROSCOMMON SAGINAW SANILAC SCHCRFT. re 360,775 O .IX $ 4 2 .0 7 24.5X 8 . IX 2 5 ,2 6 9 6 3 1 ,7 2 5 O .IX $ 7 3 .6 7 42.9X 2.2X 1 3 ,0 6 9 3 2 6 ,7 2 5 O.OX $ 3 8 .1 0 22.2X SHIAWASSE 2 ,7 2 7 ,2 7 5 O.AX $ 3 8 .3 4 26.9X 15.8X 1 0 8 ,6 3 9 2 ,7 1 5 ,9 7 5 0.5 X $ 3 8 .1 8 26 . ex 6 .ex 9 4 ,4 5 1 2 ,3 6 1 ,2 7 5 O.AX $ 3 3 .1 9 23.3X 0.1 X TUSCOLA 1 ,4 6 6 ,1 7 5 0.2X $ 2 5 .7 4 25.8X -3 .6 X 6 3 ,2 8 3 1 .5 8 2 ,0 7 5 0.3X $ 2 7 .7 7 27.9X 6.4 X 5 5 ,0 7 6 1 ,3 7 6 ,9 0 0 0.2 X $ 2 4 .1 7 24.3X -8 .3 X VAN BUREN 2 ,2 2 2 ,9 2 5 0.3X $ 3 3 .2 7 28.3X -O.SX 9 5 ,7 7 4 2 ,3 9 4 ,3 5 0 0.5X $ 3 5 .8 4 30.SX -1 3 .9 X 7 4 ,8 9 3 1 ,8 7 2 ,3 2 5 O.SX $ 2 8 .0 2 23.9X 3.4X WASHTENAW 1 3 ,3 7 6 ,2 0 0 2 . IX $ 5 0 .5 2 24.6X 3.9X 5 5 3 ,4 5 8 1 3 ,8 3 6 ,4 5 0 2 . 7X $ 5 2 .2 6 2 5 .4X 6 . IX 5 6 9 ,1 6 7 1 4 ,2 2 9 ,1 7 5 2.1X $ 5 3 .7 5 2 6 . IX 8.8 X 24.2X $ 5 3 .4 3 2 5 .4X 13.6X 4 ,9 9 6 ,8 0 4 1 2 4 ,9 2 0 ,1 0 0 18.8X $ 5 3 .4 3 2S.4X 8.4 X O.AX $ 8 0 .4 3 3 2 .4X 0.2X $ 5 3 .7 8 21 .re -5 .1 X 26.8X 16.9X WAYNE WEXFORD 1 2 7 ,4 3 3 .3 0 0 19.7X $54.51 2 5 .9X 13.8X 4 ,9 9 6 ,7 4 6 1 2 4 ,9 1 8 ,6 5 0 1 ,6 1 9 ,7 0 0 0 .3 X $ 6 4 .5 2 2 6 .OX -9 .4 X OUT/STATE 9 7 ,4 3 8 ,2 0 0 1S.1X 23.3X 8 0 ,7 5 6 2 ,0 1 8 ,9 0 0 8 . IX 4 ,3 5 0 ,4 1 1 1 0 8 ,7 6 0 ,2 7 5 2 1 . IX 2 6 .OX 4 .9 X 5 4 ,0 0 4 1 ,3 5 0 ,1 0 0 1 4 .6X 4 ,4 7 6 ,8 4 8 1 1 1 ,9 2 1 ,2 0 0 16.SX COUNTY SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 0 3 (2 )T 0 RESTAURANT REVENUES SALES PER SALES PERCENT CHANGE FAMILY YEAR 0 4 (2 ) SALES SALES TAX PERCENT SALES TAX PER PERCENT OF TOTAL CAPITA OF TOTAL SALES YEAR 6 4 6 ,2 2 4 ,1 7 5 COUNTY AV 6 ,6 1 1 ,0 7 9 SALES 0 4 (3 ) SALES TAX 100.0X 26.0X S 5 9 .2 S PER PERCENT CHANGE SALES YEAR 0 4 (4 ) TAX 1 9 0 4 (4 ) 7 .2 X 2 0 ,6 6 6 ,7 7 0 5 1 6 ,6 6 9 ,4 5 0 1 9 6 ,5 0 3 PERCENT OF TOTAL CAPITA OF TOTAL 0 3 ( 4 ) 1 0 SALES TAX 1 9 0 4 (3 ) TOTAL CHANGE FAMILY 83<3>TO RESTAURANT REVENUES 4 ,9 1 4 ,5 6 0 100.0X 21 .4 X $ 4 4 .0 4 -2 0 .5 X 2 6 ,6 2 2 ,1 0 0 6 6 5 ,5 5 2 ,7 0 0 2 6 6 ,0 1 0 6 ,6 7 0 ,2 5 9 100.0X 27.6X 10.4X $ 5 9 .7 7 ro ro H-* COUNTY TOTAL TOTAL FAMILY SALES SALES RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL 8 4 (1 )TO RESTAURANT REVENUES TAX REVENUES SALES TAX SALES 1984 SALES 1984 PERCENT PER SALES PERCENT YEAR CHANGE FAMILY 8 5 (1 ) SALES SALES TAX PERCENT SALES TAX PER PERCENT CHANGE FAMILY SALES YEAR 8 5 (2 ) 1 9 8 5 (2 ) 4 4 ,0 6 5 1 ,1 0 1 ,6 2 5 5 ,4 4 3 136,0 7 5 ALGE* 2 7 ,0 7 9 6 7 6 ,9 7 5 3 ,4 7 7 8 6 ,9 2 5 ALLEGAN 4 7 9,651 1 1 ,9 9 1 ,2 7 5 9 3 ,8 7 7 ALPENA 3 6 3 ,6 7 3 9 ,0 9 1 ,8 2 5 7 0,9 2 4 SALES TAX TAX 1985(1) ALCONA SALES OF TOTAL CAPITA OF TOTAL 84(2)T O RESTAURANT REVENUES 19 8 5 (3 ) O.OX S 1 3 .9 7 10.6X 15.3X 1 2 ,6 7 3 3 1 6 ,8 2 5 O.OX $ 3 2 .5 3 2 4 .6X 1 5 .6X 2 1 ,0 4 2 5 2 6 ,0 5 0 O.OX S 9 .4 2 11.9X 19.4X 5 ,6 4 6 141,1 5 0 O.OX $ 1 5 .3 0 19.3X -1 .1 X 1 5 ,0 7 7 3 7 6 ,9 2 5 2 ,3 4 6 ,9 2 5 O.AX $ 2 8 .7 8 16.4X 2.2X 138,6 0 4 3 ,4 6 5 ,1 0 0 0 .5 X $ 4 2 .4 9 2 7 . IX 8.0 X 165,521 4 ,1 3 8 ,0 2 5 1 ,7 7 3 ,1 0 0 0.3 X S 5 4 .8 7 19.3X -9 .8 X 9 2 ,6 4 0 2 ,3 1 6 ,0 0 0 0 .3 X $ 7 1 .6 7 2S.2X -3 .1 X 1 1 4 ,6 9 9 2 ,8 6 7 ,4 7 5 ANTRIM 1 4 3 ,7 4 7 3 ,5 9 3 ,6 7 5 2 2 ,3 8 6 5 5 9 ,6 5 0 O .IX S 3 4 .5 6 15.9X 0 .6 X 3 3 ,3 0 9 8 3 2 ,7 2 5 O .IX S S I.4 2 23.6X -1 1 .0 X 5 6 ,4 4 8 1 ,4 1 1 ,2 0 0 ARENAC 7 4 ,5 1 8 1 ,8 6 2 ,9 5 0 1 1 ,6 8 7 2 9 2 ,1 7 5 O.OX S 1 9 .8 7 1 2 .OX -1 .3 X 2 3 ,4 6 2 5 8 6 ,5 5 0 O .IX $ 3 9 .8 9 2 4 . IX 1 1 .OX 39,8 7 1 9 9 6 ,7 7 5 BARAGA 3 8 ,5 0 5 9 6 2 ,6 2 5 7 ,6 9 6 1 9 2 ,4 0 0 O.OX S 2 2 .6 8 19. IX 2.6X 9 ,9 5 1 248 ,7 7 5 O.OX $ 2 9 .3 2 24.6X -0 .5 X 1 3 ,3 8 2 3 3 4 ,5 5 0 BARRY 2 1 3 ,0 0 8 5 ,3 2 5 ,2 0 0 4 9 ,1 3 8 1 ,2 2 8 ,4 5 0 0 .2 X $ 2 6 .8 3 26.2X -O.AX 5 3 ,3 5 9 1 ,3 3 3 ,9 7 5 0.2 X $ 2 9 .1 4 28.5X -3.S X 4 5 ,2 6 0 1 ,1 3 1 ,5 0 0 BAY 1 ,0 1 6 ,0 5 8 2 5 ,4 0 1 ,4 5 0 233,051 5 ,8 2 6 ,2 7 5 1.0X $ 4 8 .6 0 2 1 .7X 2.6 X 2 7 8 ,6 5 8 6 ,9 6 6 ,4 5 0 1.0X $ 5 8 .1 1 25.9X 11.2X 2 9 1 ,5 8 7 7 ,2 8 9 ,6 7 5 BENZIE 1 8 2 ,924 4 ,5 7 3 ,1 0 0 3 1 ,7 8 5 7 9 4 ,6 2 5 O .IX $ 7 0 .9 2 17.0X -3 .3 X 3 9 ,3 0 6 9 8 2 ,6 5 0 O .IX $ 8 7 .7 0 21 .OX O.SX 81 .5 S 2 2 ,0 3 8 ,8 0 0 BERRIEN 9 4 3 ,0 6 8 2 3 ,5 7 6 ,7 0 0 187,193 4 ,6 7 9 ,8 2 5 O.SX $ 2 7 .3 2 19.7X -5 .5 X 2 4 6 ,1 0 8 6 ,1 5 2 ,7 0 0 0.9 X $ 3 5 .9 2 2S.9X -2 .1 X 2 9 5 ,0 5 2 7 ,3 7 6 ,3 0 0 BRANCH 2 6 8 ,4 5 0 6 ,7 1 1 ,2 5 0 5 7 ,8 7 8 1 ,4 4 6 ,9 5 0 0 .2 X $ 3 6 .0 0 2 1 . IX -O.AX 7 4 ,1 6 4 1 ,8 5 4 ,1 0 0 0.3 X $ 4 6 .1 4 2 7 . IX 6 . IX 8 0 ,8 3 4 2 ,0 2 0 ,8 5 0 3 ,2 7 3 ,3 3 7 8 1 ,8 3 3 ,4 2 5 6 6 0 ,2 4 4 1 6 ,5 0 6 ,1 0 0 2 .7X S 116.60 22.7X O.OX 7 6 3 ,3 6 0 1 9 ,0 8 4 ,0 0 0 2.8X S134.81 26.2X 3.5 X 7 6 4 ,3 1 9 1 9 ,1 0 7 ,9 7 5 7 6 ,4 5 2 1 ,9 1 1 ,3 0 0 16 ,886 4 2 2 ,1 5 0 O .IX $ 8 .5 3 2 1 .OX -8 .7 X 1 9 ,342 4 8 3 ,5 5 0 O .IX $ 9 .7 7 2 4 . IX -5 .2 X 2 2 ,1 1 2 5 5 2 ,8 0 0 189,595 4 ,7 3 9 ,8 7 5 2 3 ,6 6 6 5 9 1 .6 5 0 O .IX $ 2 9 .7 2 14.7X - 1 1 .6X 3 5 ,6 6 3 8 9 1 ,5 7 5 0.1 X $ 4 4 .7 9 22.2X -1 3 .7 X 7 3 .8 7 5 1 ,8 4 6 ,8 7 5 CHEBOYGAN 12 7 ,6 4 8 3 ,1 9 1 ,2 0 0 19,051 4 7 6 ,2 7 5 0 .1 X $ 2 3 .0 7 1 5 .4X •5 .3 X 2 8 ,3 6 2 7 0 9 ,0 5 0 0 .1 X $ 3 4 .3 4 2 2 .9X -1 0 .8 X 50,5 1 1 1 ,2 6 2 ,7 7 5 CHIPPEWA 3 9 1 ,3 8 0 9 ,7 8 4 ,5 0 0 6 9 ,2 6 8 1 ,7 3 1 ,7 0 0 0 .3 X $ 5 9 .6 5 1B.2X -8 .2 X 9 2 ,5 7 3 2 ,3 1 4 ,3 2 5 0.3 X $ 7 9 .7 2 2 4 .3X -4 .0 X 143,9 1 4 3 .5 9 7 ,8 5 0 CLARE 129,831 3 .2 4 5 ,7 7 5 2 4 ,5 0 3 6 1 2 ,5 7 5 O .IX $ 2 5 .7 1 18.6X -6 .5 X 3 4 ,3 8 3 8 5 9 ,5 7 5 O .IX $ 3 6 .0 8 2 6 .OX 1.1X 4 1 ,4 9 4 1 ,0 3 7 ,3 5 0 CLINTON 1 8 6,472 4 ,6 6 1 ,8 0 0 3 8 ,6 1 8 9 6 5 ,4 5 0 0.2 X $ 1 7 .2 7 21 .OX -2 .9 X 4 8 ,8 4 8 1 ,2 2 1 ,2 0 0 0.2X $ 2 1 .8 5 26.5X -2 .4 X 52,3 1 1 1 ,3 0 7 ,7 7 5 CALHOUN CASS CHARLVX. CRAWFORD 1 3 6 ,9 3 6 3 ,4 2 3 ,4 0 0 2 6 ,8 2 4 6 7 0 ,6 0 0 0.1 X $ 7 0 .8 5 18.6X 7.4X 3 5 ,8 3 5 895 ,8 7 5 0.1 X $ 9 4 .6 5 24.9X 12.4X 5 0 ,3 9 0 1 ,2 5 9 ,7 5 0 OELTA 4 6 6 ,8 8 6 1 1 ,6 7 2 ,1 5 0 9 9 ,0 4 0 2 ,4 7 6 ,0 0 0 O.AX $ 6 3 .5 7 2 1 .4X 3.9X 115,834 2 ,8 9 5 ,8 5 0 O.AX $ 7 4 .3 5 2 5 . IX -2 .0 X 142,783 3 ,5 6 9 ,5 7 5 DICKINSON EATON EMHET 9 6 ,7 0 4 2 ,4 1 7 ,6 0 0 2 3 ,5 9 8 5 8 9 ,9 5 0 0.1 X $ 2 3 .2 8 19.6X -1 .8 X 3 0 ,0 7 9 751,975 O .IX $ 2 9 .6 7 2 5 . OX 33.9X 3 5 ,7 0 3 8 9 2 ,5 7 5 5 1 1 ,0 5 7 1 2 ,7 7 6 ,4 2 5 141,575 3 ,5 3 9 ,3 7 5 0 .6 X $ 4 0 .0 7 22.2X 27.6X 1 6 9 ,3 0 0 4 ,2 3 2 ,5 0 0 0.6 X $ 4 7 .9 1 26.5X 2 4 .3X 163,9 4 2 4 ,0 9 8 ,5 5 0 -6 .0 X 8 9 ,3 7 2 2 ,2 3 4 ,3 0 0 O.SX $ 9 7 .1 8 21.7X 1 5 .IX 2 1 6 ,7 5 0 5 ,4 1 8 ,7 5 0 4.6 X 1 ,2 5 9 ,5 8 7 3 1 ,4 8 9 ,6 7 5 4 .6 X $69 .9 1 26.6X 14.4X 1 ,2 2 4 ,7 9 5 3 0 ,6 1 9 ,8 7 5 3 8 4 ,3 3 0 9 ,6 0 8 ,2 5 0 4 2 ,5 4 8 1 ,0 6 3 ,7 0 0 0 .2 X $ 4 6 .2 6 10.3X GENESSE 3 ,3 0 5 ,3 3 7 8 2 ,6 3 3 ,4 2 5 1 ,0 4 6 ,1 3 9 2 6 ,1 5 3 ,4 7 5 4 .3 X $ 5 8 .0 6 2 2 . IX GLADWIN 1 5 5 ,7 3 7 3 ,8 9 3 ,4 2 5 3 0 ,2 6 5 7 5 6 ,6 2 5 O .IX $37 .9 1 17.9X 27.0X 4 5 ,7 2 5 1 ,1 4 3 ,1 2 5 0 .2 X $ 5 7 .2 8 2 7 .OX 18.8X 5 4 ,3 6 6 GOGEBIC 8 6 ,2 1 9 2 .1 5 5 ,4 7 5 2 5 ,0 2 6 6 2 5 ,6 5 0 O .IX $ 3 1 .7 8 2 4 .4X 23.7X 2 4 ,0 7 4 6 0 1 ,8 5 0 O .IX $ 3 0 .5 7 2 3 .4X 37.4X 3 1 ,6 2 4 7 9 0 ,6 0 0 1 ,2 9 9 ,4 5 8 3 2 ,* 8 6 ,4 5 0 27 7,755 6 ,9 4 3 ,8 7 5 1.1X $ 1 2 6 .4 8 20.4X 12.2X 3 2 3 ,8 5 8 8 ,0 9 6 ,4 5 0 1.2X $147.48 23.7X 3 . IX 4 5 9 ,4 5 7 1 1 ,4 8 6 ,4 2 5 GR. TRAV. 1 ,3 5 9 ,1 5 0 COUNTY TOTAL TOTAL FAMILY SALES SALES RESTAURANT REVENUES TAX REVENUES SALES TAX 1984 SALES 1984 PERCENT PER PERCENT CHANGE FAMILY SALES PERCENT PER PERCENT CHANGE FAMILY SALES OF TOTAL CAPITA OF TOTAL 8 4 (1 )T 0 RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL 84(2>TO RESTAURANT REVENUES SALES SALES SALES YEAR 8 5 (1 ) SALES TAX TAX SALES YEAR 8 5 (2 ) SALES TAX TAX 1 98 5 (1 ) 1 9 8 5 (2 ) 1 9 8 5 (3 ) GRATOIT 1 6 9,313 4 ,2 3 2 ,8 2 5 4 0 ,8 6 2 1 ,0 2 1 ,5 5 0 0.2 X S 2 5 .2 6 21.2X 3.6X 5 0 ,9 4 0 1 ,2 7 3 ,5 0 0 0 .2 X $ 3 1 .4 8 2 6 .SX 21.8X 5 1 ,5 2 0 1 ,2 8 8 ,0 0 0 HILLSDALE 3 6 3 ,0 6 3 9 ,0 7 6 ,5 7 5 72,451 1 ,8 1 1 .2 7 5 0.3 X $ 4 3 .0 5 2 1 . IX - 1 1 .BX 8 9 ,0 3 7 2 ,2 2 5 ,9 2 5 0 .3 X $ 5 2 .9 1 2S.9X -8 .9 X 100 ,3 2 5 2 ,5 0 8 ,1 2 5 HOUGHTON 119,372 2 ,9 8 4 ,3 0 0 2 1 ,2 3 9 5 3 0 ,9 7 5 0.1 X S 1 4 .0 2 18.6X -1 3 .3 X 2 7 ,1 9 3 6 7 9 ,8 2 5 O .IX $ 1 7 .9 5 23.8X -7 .5 X 4 1 ,1 3 3 1 ,0 2 8 ,3 2 5 HURON 2 8 4 ,9 8 8 7 ,1 2 4 ,7 0 0 5 2 ,4 6 2 1 ,3 1 1 ,5 5 0 0.2 X $ 3 5 .9 7 17.2X -1 .4 X 7 9 ,9 6 5 1 ,9 9 9 ,1 2 5 0 .3 X $ 5 4 .8 3 26.2X 11.2% 1 0 3 ,9 7 2 2 ,5 9 9 ,3 0 0 1 7 ,3 4 4 ,1 0 0 INGHAM 2 ,3 0 9 ,7 4 3 6 2 ,7 4 3 ,5 7 5 5 9 7 ,7 2 4 1 4 ,9 4 3 ,1 0 0 2.5 X S 5 4 .2 4 22.9X -1 .5 X 6 6 8 ,9 6 5 1 6 ,7 2 4 ,1 2 5 2 .4 X $ 6 0 .7 0 2S.7X 7.4X 6 9 3 ,7 6 4 IONIA 1 6 8 ,438 4 ,7 1 1 ,4 5 0 3 2 ,6 4 8 8 1 6 ,2 0 0 0.1 X $ 1 5 .7 5 2 1 . IX - 2 5 . OX 3 9 ,9 2 2 9 9 8 ,0 5 0 O .IX $ 1 9 .2 6 25.8X -21.7% 4 4 ,9 3 2 1 ,1 2 3 ,3 0 0 IOSCO 2 4 7 ,7 0 0 6 ,1 9 2 ,5 0 0 3 8 ,7 2 0 9 6 8 ,0 0 0 0.2 X $ 3 4 .1 5 U . 3X -1 .1 X 6 9 .7 7 6 1 ,7 4 4 ,4 0 0 0 .3 X $ 6 1 .5 3 25.8X 12.8X 104 ,3 3 4 2 ,6 0 8 ,3 5 0 IRON 1 1 7 ,199 2 ,9 2 9 ,9 7 5 2 2 ,5 3 2 5 6 3 ,3 0 0 O .IX $ 4 1.31 19. IX -3 .9 X 29,351 733 ,7 7 5 O .IX $ 5 3 .8 2 24.9X 0 .5X 3 7 ,3 1 4 9 3 2 ,8 5 0 ISABELLA 57 7 ,7 8 7 1 4 ,4 4 4 ,6 7 5 1 1 0,416 2 ,7 6 0 ,4 0 0 0.5 X $ 5 1.01 22.3X -5 .1 X 120 ,7 9 8 3 ,0 1 9 ,9 5 0 0 .4 X $55 .8 1 24.4% -1 8 .6 X 1 3 8 ,5 0 6 3 ,4 6 2 ,6 5 0 JACKSON 1 ,6 1 4 ,2 9 2 4 0 ,3 5 7 ,3 0 0 3 8 1 ,7 4 2 9 ,5 4 3 ,5 5 0 1.6X $ 6 3 .0 0 22.6X 6.8X 4 4 4 ,0 4 5 1 1 ,1 0 1 ,1 2 5 1.6X $ 7 3 .2 8 26.3% 7 . IX 4 3 5 ,2 5 2 1 0 ,8 8 1 ,3 0 0 KALAMAZOO 1 ,6 7 3 ,2 6 3 4 1 ,8 3 1 ,5 7 5 3 8 5 ,1 3 0 9 ,6 2 8 ,2 5 0 1.6X $ 4 5 .3 4 2 3 . IX -1 .2 X 4 2 6 ,2 7 2 1 0 ,6 5 6 ,8 0 0 1.5X $ 5 0 .1 8 2 5 .6X -2 .5 X 4 2 9 ,7 1 4 1 0 ,7 4 2 ,8 5 0 153,370 3 ,8 3 4 ,2 5 0 3 1 ,6 7 4 7 9 1 ,8 5 0 O .IX $ 7 2 .3 0 18.8X 9.9X 4 2 ,6 2 2 1 ,0 6 5 ,5 5 0 0 .2 X $ 9 7 .2 9 25.3% 17.6X 5 4 ,7 3 0 1 ,3 6 8 ,2 5 0 4 ,7 4 6 ,6 1 7 1 1 8 ,6 6 5 ,4 2 5 1 ,4 5 7 .6 1 1 3 6 ,4 4 0 ,2 7 5 6 . OX $ 8 1 .9 8 23.7X 10.8X 1 ,5 7 9 ,0 6 4 3 9 ,4 7 6 ,6 0 0 5 .7 X $88 .8 1 25.7X 7.2X 1 ,5 6 0 ,1 0 4 3 9 ,0 0 2 ,6 0 0 KEUEENAU 1 6 ,374 4 0 9 ,3 5 0 1,5 2 4 3 8 ,1 0 0 O.OX $19.41 1 1 . OX 1 4 .OX 2 ,0 0 4 5 0 ,1 0 0 O.OX $ 2 5 .5 2 14.5% -4 5 .9 X 7 ,8 5 3 196,325 LAKE 3 0 ,001 75 0 ,0 2 5 4 ,7 4 4 118,6 0 0 O.OX $ 1 5 .3 8 1 3 .IX O.SX 8 ,2 7 3 206 ,8 2 5 O.OX $ 2 6 .8 2 22.8X 3.9 X 1 3 ,5 6 7 339 ,1 7 5 LAPEER 4 9 7 ,9 8 2 1 2 ,4 4 9 ,5 5 0 1 0 8,912 2 ,7 2 2 ,8 0 0 0.5 X $ 3 8 .8 8 2 3 .OX 6 . IX 1 2 3 ,2 4 9 3 ,0 8 1 ,2 2 5 0 .4 X $ 4 3 .9 9 2 6 . IX -5 .3 X 1 2 4 ,8 3 0 3 ,1 2 0 ,7 5 0 LEELANAU 149,725 3 ,7 4 3 ,1 2 5 19,491 4 8 7 ,2 7 5 O .IX $ 3 4 .7 9 11.5X 5.3X 3 8 ,6 2 3 9 6 5 .5 7 5 0 .1 X $ 6 8 .9 4 22.7X 1 3 .OX 8 6 ,0 6 9 2 ,1 5 1 ,7 2 5 LENAUEE 6 4 8 ,8 4 5 1 6 ,2 2 1 ,1 2 5 1 6 0 ,0 1 8 4 ,0 0 0 ,4 5 0 0 .7 X $ 4 4 .4 8 22.4X 6.6 X 187,935 4 ,6 9 8 ,3 7 5 0 .7 X $ 5 2 .2 3 26.3X 13.7X 1 9 2 ,5 2 3 4 .8 1 3 ,0 7 5 LIV. 4 2 8 ,0 7 6 1 0 ,7 0 1 ,9 0 0 103,341 2 ,5 8 3 ,5 2 5 0.4 X $ 2 5 .7 6 21.5X 7.6X 1 2 3 ,8 5 7 3 ,0 9 6 ,4 2 5 0 .5 X $ 3 0 .8 8 25.8% 11.6% 1 2 6 ,3 2 6 3 ,1 5 8 ,1 5 0 LUCE 3 7 ,3 8 0 9 3 4 ,5 0 0 7 ,1 8 6 179,6 5 0 O.OX $ 2 6 .9 8 17.4X 15.9X 1 0 ,0 4 3 251 ,0 7 5 O.OX $ 3 7 .7 0 2 4 .4X 10.3X 1 6 ,3 9 8 4 0 9 ,9 5 0 2 2 5 ,6 5 3 5 ,6 4 1 ,3 2 5 1 8 ,7 4 0 4 6 8 ,5 0 0 O .IX $ 4 6 .0 3 7.4X 4 2 .6X 6 0 ,0 7 9 1 ,5 0 1 ,9 7 5 0 .2X $147.S7 23.6X 2 2 . IX 140 ,8 7 4 3 ,5 2 1 ,8 5 0 -1 8 .8 X 1 ,7 1 1 ,7 1 3 - 1 6 .OX 1 ,8 2 0 ,1 9 5 4 5 ,5 0 4 ,8 7 5 KALKASKA KENT MACKINAC MACOMB 6 ,1 5 9 ,0 3 5 1 5 3 ,9 7 5 ,8 7 5 1 ,5 2 9 ,9 6 7 3 8 ,2 4 9 ,1 7 5 6 .3 X $ 5 5 .0 7 2 2 . IX 4 2 ,7 9 2 ,8 2 5 6 .2 X $61 .6 1 24.7X MANISTEE 141,614 3 ,5 4 0 ,3 5 0 2 7 ,3 8 4 6 8 4 ,6 0 0 0.1 X $ 2 9 .7 4 1 8 .IX 7.5X 3 8 ,0 1 2 9 5 0 ,3 0 0 O .IX $ 4 1 .2 8 2 5 . IX 12.5X 5 1 ,3 1 9 1 ,2 8 2 ,9 7 5 MARQUETTE 5 5 9 ,6 6 2 1 3 ,9 9 1 ,5 5 0 1 3 2 ,9 1 7 3 ,3 2 2 ,9 2 5 0 .5 X $ 4 4 .8 4 2 1 .2X 7.9X 1 53,325 3 ,8 3 3 ,1 2 5 0 .6 X $ 5 1 .7 3 24.5X 3 5 .OX 185,511 4 ,6 3 7 ,7 7 5 MASON 297,711 7 ,4 4 2 ,7 7 5 4 5 ,2 9 9 1 ,1 3 2 ,4 7 5 0.2 X $ 4 2 .9 5 13.6X s.ax 8 7 ,5 4 2 2 ,1 8 8 ,5 5 0 0 .3 X $83 .0 1 26.2% 2 1 .7X 131,721 3 ,2 9 3 ,0 2 5 MECOSTA 1 4 3 ,140 3 ,5 7 8 ,5 0 0 3 2 ,0 0 6 8 0 0 ,1 5 0 0.1 X $ 2 1 .6 5 2 1 .7X •4 .8 X 3 5 ,0 4 7 8 7 6 ,1 7 5 O .IX $23 .7 1 23.7X -2 .7 X 4 1 ,6 6 6 1 ,0 4 1 ,6 5 0 MENOMINEE 1 5 7 ,232 3 ,9 3 0 ,8 0 0 3 4 ,9 5 0 8 7 3 ,7 5 0 O .IX $ 3 3 .3 5 2 4 .7X 3.5X 4 2 ,9 1 7 1 ,0 7 2 ,9 2 5 0 .2 X $ 4 0 .9 5 30.3X -1 .7 X 3 6 ,6 1 0 915,2 5 0 MIDLAND 5 0 2 ,5 1 0 1 2 ,5 6 2 ,7 5 0 1 0 6,190 2 ,6 5 4 ,7 5 0 0.4 X $ 3 6 .0 8 21.7X -1 7 .9 X 1 2 8 ,2 6 9 3 ,2 0 6 ,7 2 5 0 .5 X $ 4 3 .5 8 26.3% -2 .3 X 130 ,7 9 2 3 ,2 6 9 ,8 0 0 COUNTY TOTAL TOTAL FAMILY SALES SALES RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL 8 4 (1 )T 0 RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL 8 4 (2 )T 0 RESTAURANT REVENUES TAX REVENUES SALES TAX SALES SALES 19U SALES 1984 PERCENT PER SALES PERCENT YEAR CHANGE FAMILY 8 5 (1 ) 30, IK SALES TAX TAX PERCENT PER SALES PERCENT YEAR CHANGE FAMILY 8 5 (2 ) SALES SALES TAX TAX 198 5 (1 ) MISSAUKEE SALES 19 8 5 (2 ) 1 9 8 5 (3 ) 75 4 ,6 0 0 7 ,0 6 2 176,5 5 0 O.OX S 1 7 .6 4 20.2X 2 4 .3X 9 ,1 2 5 2 2 8 ,1 2 5 O.OX S 2 2 .7 9 26.1X 2 1 .OX 1 0 ,993 2 74 ,8 2 5 0.4 X S 1 7 .5 7 2 2 .2X 10.3X 1 16,785 2 ,9 1 9 ,6 2 5 0 .4 X $ 2 1 .6 8 27.4X 10.0X 1 1 1 ,8 9 7 2 ,7 9 7 ,4 2 5 2 ,6 6 6 ,3 0 0 NONROE 3 8 5 ,2 6 3 9 ,6 3 1 ,5 7 5 9 4 ,6 6 3 2 ,3 6 6 ,5 7 5 MONTCALM 2 5 8 ,4 0 8 6 ,4 6 0 ,2 0 0 6 0 ,6 2 8 1 ,5 1 5 ,7 0 0 0.3 X S 31.B 7 17.8X 13.4X 8 7 ,3 3 7 2 ,1 8 3 ,4 2 5 0 .3 X $ 4 5 .9 1 25.7X 20.ax 1 0 6 ,6 5 2 6 5 ,0 5 6 1 ,6 2 6 ,4 0 0 10,3 2 9 2 5 8 ,2 2 5 O.OX $ 3 4 .4 7 15.2X 6.6X 1 6 ,1 6 9 4 0 4 ,2 2 5 O .IX $ 5 3 .9 5 23.7X 2.6X 2 4 ,8 1 2 6 2 0 ,3 0 0 1 ,0 8 7 ,3 6 9 2 7 ,1 8 4 ,2 2 5 2 3 6 ,0 1 2 5 ,9 0 0 ,3 0 0 1.0X $ 3 7 .4 4 2 2 . IX -4 .0 X 2 7 6 ,9 8 0 6 ,9 2 4 ,5 0 0 1.0X $ 4 3 .9 4 2 6 .OX -3 .3 X 296,261 7 ,4 0 6 ,5 2 5 MONTH. MUSKEGON NEWAYGO 2 0 4 ,2 9 8 5 ,1 0 7 ,4 5 0 4 2 ,7 6 3 1 ,0 6 9 ,0 7 5 0.2 X $ 3 0 .6 2 19.6X 5.7X 5 7 ,0 3 6 1 ,4 2 5 ,9 0 0 0 .2 X $ 4 0 .8 4 26.2X 6 .7 X 6 9 ,3 3 0 1 ,7 3 3 ,2 5 0 OAKLAND 1 1 ,2 7 7 ,0 0 5 2 8 1 ,9 2 5 ,1 2 5 3 ,5 0 6 ,9 3 0 8 7 ,6 7 3 ,2 5 0 1 4 .SX $ 8 6 .6 5 23.5X 5.6X 3 ,8 1 8 ,5 2 7 9 5 ,4 6 3 ,1 7 5 13.9X $ 9 4 .3 5 2 5 .6X 7.4 X 3 ,8 0 4 ,2 0 4 9 5 ,1 0 5 ,1 0 0 OCEANA 1 0 3 ,867 2 ,5 9 6 ,6 7 5 18,454 4 6 1 ,3 5 0 O .IX $ 2 0 .9 7 1 6 .OX 11.zx 3 2 ,6 3 3 8 1 5 ,8 2 5 O .IX $ 3 7 .0 8 28.3X 22.5X 4 1 ,4 4 0 1 ,0 3 6 ,0 0 0 OGEMAW 2 4 0,964 6 ,0 2 4 ,1 0 0 2 7 ,1 8 4 6 7 9 ,6 0 0 O .IX $ 4 1 .3 5 17.3X -4 7 .7 X 3 9 ,5 6 0 9 8 9 ,0 0 0 O .IX $ 6 0 .1 7 25.2X -3 6 .4 X 5 0 ,8 5 9 1 ,2 7 1 ,4 7 5 ONTONAGON 47,701 1 ,1 9 2 ,5 2 5 8 ,8 5 1 2 2 1 ,2 7 5 O.OX $ 2 2 .4 4 17.9X -5 .3 X 1 1 ,8 1 2 2 9 5 ,3 0 0 O.OX $ 2 9 .9 5 23.9X 4.8 X 17,9 1 4 4 4 7 ,8 5 0 OSCEOLA 7 4 ,672 1 ,8 6 6 ,8 0 0 1 5 ,3 5 6 3 8 3 ,9 0 0 O .IX $ 2 0 .2 8 18.2X 6.2X 2 2 ,5 9 4 5 6 4 ,8 5 0 O .IX $ 2 9 .8 4 26.7X 19.7X 2 4 ,9 8 4 6 2 4 ,6 0 0 OSCOOA 5 4 ,9 2 5 1 ,3 7 3 ,1 2 5 9 ,6 6 5 241,6 2 5 O.OX $ 3 5 .2 3 18.6X -6 .8 X 13 ,0 0 6 3 2 5 ,1 5 0 O.OX $47 .4 1 2 5 .OX -1 3 .5 X 1 6 ,0 2 9 4 0 0 ,7 2 5 OTSEGO 2 3 0 ,7 9 8 5 ,7 6 9 ,9 5 0 4 4 .7 7 8 1 ,1 1 9 ,4 5 0 0 .2 X $ 7 4 .6 6 17.8X -2 .8 X 6 0 ,2 1 6 1 ,5 0 5 ,4 0 0 0.2X $100.41 2 4 .OX 1 1 .9X 9 2 ,1 0 3 2 ,3 0 2 ,5 7 5 OTTAWA 9 ,6 5 3 ,7 5 0 9 4 4,721 2 3 ,6 1 8 ,0 2 S 23 9 ,6 8 6 5 ,9 9 2 ,1 5 0 1.0X $ 3 8 .1 2 1 9 .OX 1 8 .OX 3 1 6 ,4 2 9 7 ,9 1 0 ,7 2 5 1 .IX $ 5 0 .3 3 2 5 . IX 28.7X 3 8 6 ,1 5 0 PRES. IS . 5 3 ,1 9 6 1 ,3 2 9 ,9 0 0 1 0 ,202 2 5 5 ,0 5 0 O.OX $ 1 7 .B6 1 3 .7X 1 4 .OX 1 6 ,1 9 6 4 0 4 ,9 0 0 O .IX $ 2 8 .3 8 2 1 .7X 18.3X 3 0 ,7 7 0 7 6 9 ,2 5 0 ROSCOMMON 176,563 4 ,4 1 4 ,0 7 5 2 9 ,9 7 6 7 4 9 ,4 0 0 O .IX $ 4 5 .7 7 1S.4X 8.3X 4 7 ,9 4 2 1 ,1 9 8 ,5 5 0 0.2 X $ 7 3 .2 0 24.7X 12.3X 7 8 ,3 2 3 1 ,9 5 8 ,0 7 5 SAGINAW 2 ,2 1 0 ,5 7 3 5 5 ,2 6 4 ,3 2 5 4 8 2 .321 1 2 ,0 5 8 ,0 2 5 2 . OX $ 5 2 .8 7 19.6X 7 . IX 6 1 3 ,2 4 8 1 5 ,3 3 1 ,2 0 0 2.2X $ 6 7 .2 2 24.9X 10.6X 7 0 3 ,0 0 3 1 7 ,5 7 5 ,0 7 5 ST. CLAIR 1 ,0 7 0 ,6 7 2 2 6 ,7 6 6 ,8 0 0 2 3 3 ,6 3 2 5 ,8 4 0 ,8 0 0 1.0X $ 4 2 .0 8 20.4X S.OX 2 9 8 ,8 8 0 7 ,4 7 2 ,0 0 0 1.1X $ 5 3 .8 3 2 6 . IX 4.3X 3 2 8 ,5 7 0 8,214,2S Q ST.JOSEPH 6 6 1 ,2 8 9 1 6 ,5 3 2 ,2 2 5 142,931 3 ,5 7 3 ,2 7 5 0 .6 X $ 6 3 .7 1 22.6X -O.SX 187,144 4 ,6 7 8 ,6 0 0 0.7 X $ 8 3 .4 2 29.BX 4.4X 165,4 8 3 4 ,1 3 7 ,0 7 5 SANILAC 138,381 3 ,4 5 9 ,5 2 5 2 7 .8 9 0 6 9 7 ,2 5 0 O .IX $ 1 7 .0 9 15.7X 2.9X 5 3 ,6 4 2 1 ,3 4 1 ,0 5 0 0.2 X $ 3 2 .8 8 30.2X 47.5X 5 8 ,4 9 8 1 ,4 6 2 ,4 5 0 SCHCRFT. 5 8 ,9 6 2 1 ,4 7 4 ,0 5 0 8 ,2 7 7 2 0 6 ,9 2 5 O.OX $ 2 4 .1 3 1 3 .7X 33.7X 15,7 0 2 3 9 2 ,5 5 0 O .IX $ 4 5 .7 8 2 6 .OX 8.8X 2 4 ,0 6 4 6 0 1 ,6 0 0 4 0 5 ,2 8 8 1 0 ,1 3 2 ,2 0 0 8 8 ,4 2 6 2 ,2 1 0 ,6 5 0 0 .4 X $ 3 1 .0 7 2 1 .7X -5 .0 X 1 0 8 ,5 8 8 2 ,7 1 4 ,7 0 0 0.4 X $ 3 8 .1 6 26.6X -O.SX 108,5 1 6 2 ,7 1 2 ,9 0 0 TUSCOLA 2 2 6 ,8 8 4 5 ,6 7 2 ,1 0 0 4 6 ,5 4 4 1 ,1 6 3 ,6 0 0 0 .2 X $ 2 0 .4 3 2 1 .5X -6 .7 X 5 8 ,0 9 1 1 ,4 5 2 ,2 7 5 0.2 X $ 2 5 .5 0 26.8X -0 .9 X 5 9 ,7 3 8 1 .4 9 3 .4 S 0 VAN SUREN 3 1 3 ,9 6 3 7 .8 4 9 ,0 7 5 6 3 ,0 6 3 1 ,5 7 6 ,5 7 5 0 .3 X $ 2 3 .6 0 1 8 .IX 1 6 .OX 9 6 ,9 5 1 2 ,4 2 3 ,7 7 5 0.4X $ 3 6 .2 8 27.8X 9 . OX 1 1 1 ,1 2 7 2 ,7 7 8 ,1 7 5 5 6 3 ,9 9 5 1 4 ,0 9 9 ,8 7 5 2 .3 X $ 5 3 .2 6 22.3X 8 .7X 6 2 7 ,2 9 6 1 5 ,6 8 2 ,4 0 0 2.3X $ 5 9 .2 4 24.8X 17.2X 6 7 2 ,2 9 7 1 6 ,8 0 7 ,4 2 5 4 ,4 5 5 ,4 2 4 1 1 1 ,3 8 5 ,6 0 0 1B.4X $ 4 7 .6 4 23.3X -2.6% 4 ,8 9 9 ,7 8 2 1 2 2 ,4 9 4 ,5 5 0 17.8X $ 5 2 .4 0 2 5 . TX -3 .9 X 4 ,8 8 6 ,5 4 6 1 2 2 ,1 6 3 ,6 5 0 0.2 X $ 5 4 .5 7 23.4X 10.9X 23.7X 1 9 .OX 5 ,0 1 9 ,1 3 0 1 2 5 ,4 7 8 ,2 5 0 SHIAWASSE WASHTENAW 2 ,1 7 6 ,6 3 2 5 4 ,4 1 5 ,8 0 0 1 9 ,6 6 5 ,4 0 7 4 9 1 ,6 3 5 ,1 7 5 WAYNE 248,961 6 ,2 2 4 ,0 2 5 OUT/STATE 1 6 ,7 1 1 ,9 4 5 4 1 7 ,7 9 8 ,6 2 5 WEXFORO 5 4 ,7 9 7 1 ,3 6 9 ,9 2 5 4 ,7 4 4 ,4 6 3 1 1 8 ,6 1 1 ,5 7 5 19.6X 5 9 ,3 4 4 1 ,4 8 3 ,6 0 0 0.2X $ 5 9 .1 0 18.2X 25.3X -8 .4 X 2 5 .OX 28.8X 5 ,2 6 5 ,4 8 9 13 1 ,6 3 7 ,2 2 5 6 9 ,6 5 9 1 ,7 4 1 ,4 7 5 r COUNTY TOTAL SALES TAX 1984 TOTAL SALES NEVENUES 1984 FAMILY SALES RESTAURANT REVENUES SALES TAX 1985(1) TOTAL COUNTY AV 96,496,177 2,412,404,425 24,191,723 604,793,075 961,256 24,031,395 234,304 5,857,608 PERCENT PER PERCENT CHANGE FAMILY SALES OF TOTAL CAPITA OF TOTAL 84(1)TO RESTAURANT REVENUES SALES SALES YEAR 85(1) SALES TAX TAX 1985(2) 100.0X 22.4X $52.49 3.6X27,523,058 688,076,450 271,132 6,778,292 PERCENT PER PERCENT CHANGE FAMILY SALES OF TOTAL CAPITA OF TOTAL 84(2)TO RESTAURANT REVENUES SALES SALES YEAR 85(2) SALES TAX TAX 1985(3) 25.5X 100.0X S60.74 6.5X29,266,236 731,655,900 289,166 7,229,141 ro I—* 5,947,950 155,895 3,897,375 10,302,700 42,943 1,073,575 118,452,975 1,144,881 28,622,025 4,229,325 31,269 781,725 24,344 2,569,175 608,600 34,098,675 268,972 6,724,300 PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX O.OX $13.76 O.OX $24.02 0.5X $28.23 0.4X $56.39 0.2X $51.22 O.IX $26.00 O.OX $26.01 0.2X $16.98 1.2X $52.22 0.2X $81.97 1.0X $28.78 0.3X $32.66 3.2X$114.77 O.IX $9.64 O.IX $34.09 O.U $22.68 0.3X $53.83 0.2X $34.93 0.2X $18.04 O.U $70.21 0.5X $61.38 O.U $22.04 O.SX $44.12 0.2X $46.69 S.6X $63.54 0.2X $39.17 O.U $30.92 1.3U122.48 10.3X 15.OX 17.6X 19.SX 17.2X 13.9X 22.7X 18.4X 21.OX 18.5X 18.3X 18.8X 21.5X 23.9X 14.5X 12.3X 15.2X 19.OX 21.OX 18.8X 20.OX 21.OX 22.3X 10.SX 22.7X 17.3X 22.2X 1S.4X COUNTY PERCENT PER PERCENT CHANGE FAMILY OF TOTAL CAPITA OF TOTAL 84(3)TO RESTAURANT 85(3) SALES TAX SALES SALES YEAR TAX 1985(4) O.ZX $31.84 26.8X 19.1X 49,205 GRATOIT 29.2X -1.1X 81,365 0.3X SS9.62 HILLSDALE HOUGHTON O.IX S27.15 36.IX 4.8X 24,520 O.AX $71.29 HURON 34.IX 8.3X 68,615 2.4X $62.95 5.3X 646,043 INGHAM 26.6X 0.2X $21.68 29.IX -11.2X 36,965 IONIA O.AX $92.01 38.6X 13.6X 57,201 IOSCO O.IX $68.42 4.2X IRON 31.7X 28,529 0.5X $63.99 27.9X -17.7X 125,940 ISABELLA 1.5X $71.83 25.8X 3.3X 424,940 JACKSON O.OX 425,825 KALAMAZOO 1.5X $50.58 25.8X 0.2XS12A.93 32.5X 6.6X 39,306 KALKASKA 5.3X $87.74 25.4X 238.9X 1,547,185 KENT 0 . 0x$100. 0f 56.9X -22.9X 2,431 KEUEENAU O.OX $43.99 37.4X 33.3X 9,738 LAKE O.AX $44.56 26.4X -11.3X 115,688 LAPEER 0.3XS153.62 S0.6X 21.4X 25,773 LEELANAU 0.7X $53.51 26.9X 9.6X 174,497 LENAUEE 0.4X $31.49 26.3X 7.9X 126,591 L1V. O.IX $61.56 LUCE 39.8X 13.3X 7,555 0.5XS346.03 5S.4X B.3X 34,402 MACKINAC MACOMB 6.2X $65.51 26.2X 1583.OX 1,876,295 0.2X $55.74 33.9X 3.OX 34,884 MANISTEE 0.6X $62.59 29.6X 5.9X 154,010 MARQUETTE 0.5U124.90 NASON 39.5X 9.4X 69,329 MECOSTA O.IX $28.10 28.2X B.2X 39,027 25.9X -13.2X 26,961 O.IX $34.93 MENOMINEE O.AX $44.44 26. ex 10.2X 123,136 MIDLAND SALES REVENUES 1,230,125 2,034,125 613,000 1,715,375 16,151,075 924,125 1,430,025 713,225 3,148,500 10,623,500 10,645,625 982,650 38,679,625 60,775 243,450 2,892,200 644,325 4,362,425 3,164,775 188,875 860,050 46,907,375 872,100 3,850,250 1,733,225 975,675 674,025 3,078,400 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL B3(4)to SALES SALES YEAR 85(4) TAX 0.2X $30.41 O.SX $48.35 O.IX $16.19 0.3X $47.05 2.4X $58.62 O.IX $17.84 0.2X $50.44 0.1X $52.31 O.SX $58.19 1.6X $70.12 1.6X $50.13 O.IX $89.72 5.7X $87.02 O.OX $30.96 O.OX $31.57 O.AX $41.29 O.IX $46.00 0.6X $48.50 0.5X $31.56 O.OX $28.36 0.1X $84.50 6.9X $67.53 0.1X $37.89 0.6X $51.96 0.3X $65.74 O.U $26.40 O.U $25.73 0.5X $41.84 25.6X 23.7X 21.5X 22.5X 24.8X 23.9X 21.2X 24.2X 25.4X 25.2X 25.5X 23.4X 25.2X 17.6X 26.8X 24.5X 15.2X 24.4X 26.4X 18.3X 13.5X 27.0X 23.OX 24.6X 20.BX 26.4X 19.IX 25.2X 9.9X -0.5X •6.4X 7.4X 4.OX -14.7X 4.3X -O.SX -12.9X 1.0X 2.3X 6.3X 3.3X 110. ex 36.IX -7.0X -1.4X 10.6X 21.7X -0.7X 3.SX -11.9X 7.2X 4.3X 10.9X 11.6X -28.JX -O.U TOTAL SALES TAX 1985 192,527 343,178 114,085 305,014 2,606,496 154,467 270,031 117.726 495,660 1.685,979 1,666,941 168,332 6,143,964 13,812 36,322 472,679 169,956 714,973 480,115 41,182 254,095 6,938,170 151,599 625,763 333,891 147,746 141,438 488,387 TOTAL SALES REVENUES 1985 FAMILY SALES RESTAURANT REVENUES SALES TAX 1986(1) 4,813,175 39,454 986,350 8,579,450 72,717 1,817,925 2,852,125 20,056 501,400 7,625,350 50,668 1,266,700 65,162,400 609,324 15,233,100 3,861,675 33,986 849,650 6,750,775 42,665 1,066,625 2,943,150 24,857 621,425 12,391,500 104,124 2,603,100 42,149,475 399,243 9,981,075 41,673,525 404,842 10,121,050 4,208,300 33,435 835,875 153,599,100 1,446,249 36,156,225 345,300 769 19,225 908,050 6,297 157,425 11,816,975 108,344 2,708,600 4,248,900 21,167 529,175 17,874,325 158,348 3,958,700 12,002,875 107,269 2,681,725 1,029,550 6,846 171,150 6,352,375 17,902 447,550 173,454,250 1,668,559 41,713,975 3,789,975 29,646 741,150 15,644,075 140,828 3,520,700 8,347,275 40,503 1,012,575 3,693,650 33,907 847,675 3,535,950 22,066 551,650 12,209,675 125,976 3,149,400 PERCENT PERCENT PER OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX 0.2X $24.39 O.AX $43.21 O.U $13.24 0.2X $34.74 3.OX $55.29 0.2X $16.40 0.2X $37.62 O.U $45.58 0.5X $48.11 2.OX S6S.B8 2.OX $47.66 0.2X $76.32 7.1X $81.34 O.OX $9.79 O.OX $20.42 0.5X $38.67 O.U $37.78 O.SX $44.01 0.5X $26.74 O.OX $25.70 O.U $43.97 8.2X $60.05 O.U $32.20 O.U $47.51 0.2X $38.41 0.2X $22.93 O.U $21.05 0.6X $42.80 21.4X 20.7X 18.3X 17.6X 21.6X 21.9X 16.4X 19.9X 19.7% 22.1X 23.6X 21.2% 22.6X S.9X 15.SX 21.5X 11.9% 21.OX 22-8X 14.IX 6.7X 22.6X 18.OX 20.6X 13.1% 19.3X 18.5X 23.6X CCUNTT PERCENT PER SALES PERCENT CHANGE FAMILY OF TOTAL CAPITA OF TOTAL 84(3)T0 RESTAURANT REVENUES SALES SALES TEAR 85(3) SALES TAX TAX 1985(A) MISSAUKEE O.OX *27.46 31 .AX 1S.3X 7.810 195,250 MONROE O.AX *20.77 26.2X 10.2X 102,961 2,57A,025 O.AX *56.07 85,393 2,13A.825 MONTCALM 31 .AX AA.2X 0.1X *02.79 A19.000 MONTM. 36.AX -3.0X 16,792 1.0X SA7.00 2.SX 256.AA1 6,All,025 MUSKEGON 27.OX 0.2X SA9.6A NEUATGO 31.9X 11.9X A8.52A 1,213,100 OAKLAND 13.OX S9A.00 25.SX 533.9X 3.80A.28A 95,107,100 O.IX SA7.09 573,150 OCEANA 35.9X 11.5X 22,926 OGEMAU 0.2X *77.36 32.AX -26.8X 39.A37 985,925 O.U SA5.A2 6.9X 260,700 ONTONAGON 36.3X 10.7A8 O.U *33.00 5A1.500 OSCEOLA 21,660 29.SX 13.8% O.U *50.A3 331,275 OSCOOA 30.9X -8.AX 13,251 OTSEGO 0.3XS153.58 36.7X 1A.0X 53,950 1,3Afl,750 1.3X S61.A2 OTTAWA 30.6X A0.2X 320,050 0,001,250 O.U *53.92 A1.2X 7A.3X 17,A99 A37.A75 PRES. IS. 0.3XS119.50 38,135 953,375 ROSCOMMON A0.3X 10.AX SAGINAW 2.AX *77.06 20.6X 15.AX 660,112 16,502,000 1.U *59.10 28.7X 6.OX 2B2.078 7,051,950 ST. CLAIR O.OX *73.77 ST.JOSEPH 26.AX -10.U 132,321 3,300,025 0.2X $35.05 939,200 SANILAC 32.9X 30.5X 37,568 O.U S70.16 300,A25 SCHCRFT. 39.9X -A.8X 12,337 O.AX *30.13 26.6X -O.IX 102,005 2,570,125 SHIAWASSE 27.6% -5.6X TUSCOLA 0.2X *26.22 52.2A3 1,306,075 O.AX SA1.S0 31 .OX 16.OX 70,178 1,95A,AS0 VAN 8UREN 2.3X *63.AO WASHTENAW 26.5X 21.SX 670,177 16,75A,A2S WAVNE 16.7X *52.25 25.6X -2.2X A,856,981 121,A2A,525 0.2X *69.30 29.OX -13.7X 50,332 1,250,300 WEXFORD 26.3X 21.OX 5,028,698 12S,717,A50 OUT/STATE 10.0X PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(A)to SALES SALES YEAR 85(A) TAX O.OX *19.51 O.AX *19.12 0.3X SAA.09 O.U S56.03 0.9X SA0.60 0.2X S3A.7A 1A.U S9A.00 O.U *26.05 O.U *59.99 O.OX *27.25 O.U *28.61 O.OX SA8.30 0.2X *89.96 1.2X S50.91 O.U *30.66 O.U *58.22 2.AX *72.36 1.0X *50.81 0.5X *58.98 O.U *23.03 O.OX *35.97 O.AX *36.13 0.2X *22.93 0.3X *29.25 2.5X *63.28 18.OX *51.9A 0.2X *50.13 18.6X 22.3X 5.U 2A.2X 12.2X 25.U AS.5X 2A.7X 19.7X 2A.1X -3.5X 22.3% O.SX 25.5X O.U 19.9X -2.2X 25.IX -31.2X 21.8X A.1X 25.6% 11.9% 25.5X 10.2X 21.5% 7.7X 25.AX A5.3X 23.AX 35.5X 19.6X 8.2X 26.8% 10.7X 2A.7X 12.1% 21.U -1A.1X 21.2X 2A.8X 20.AX •S.6X 2S.2X 8.8X 2A.1X -5.U 22.AX A.AX 26.AX 17.7X 25.AX •2.8X 21.5X -6.8X 25.IX 12.3% TOTAL SALES TAX 1985 3A.990 A26.306 3A0.010 68,102 1,065,69A 217,653 1A,933,9A5 115,A53 157.0A0 A9,325 8A.59A 51,951 251,0A7 1,262,315 7A.667 19A.376 2,A58,68A 1,1A3,160 627,879 177,598 60,380 A08.335 216,616 3A9.319 2,533,765 19,098,733 23A.132 20,057,780 TOTAL SALES REVENUES 1985 FAMILY SALES RESTAURANT REVENUES SALES TAX 1986(1) 87A.750 7,638 190,950 10,657,650 9A,859 2.371.A75 71,890 1,797,250 8,500,250 1,702,550 11,778 29A.A50 26.6A2.350 2A1.037 6,025,925 5.AA1.325 A3,037 1,075,925 373.3A8.625 3,658,972 91,A7A,300 2,886,325 17,6A6 AA1.150 3,926,000 29,300 732,500 9.9A5 1,233,125 2A8.625 447,250 2.11A.850 17,890 1,298,775 8.A61 211,525 6,276,175 A7.8A0 1,196,000 31,557,875 302,615 7,565,375 11.80A 1,866,675 295,100 A.859.A00 31,533 788,325 61.A67.100 A9A.336 12,358,400 256,957 6,423,925 28,579,000 15,696,975 116,515 2,912,875 3A.01B A,A39,950 850,450 5,964 1,509,500 149,100 95,890 2,397,250 10,208,375 5,A15,A00 AA,398 1,109,950 8,732,975 66,379 1,659,475 598.A62 14,961,550 63,3AA,125 A77,A68,32S A,797,322 119,933,050 5,853,300 A0.8AA 1,021,100 501,AAA,500 A,895,789 122,394,725 PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX O.OX S19.08 O.SX *17.61 O.AX *37.79 O.U *39.30 1.2X *38.24 0.2X *30.81 17.9X *90.41 O.U *20.05 O.U *44.57 O.OX *25.21 O.U *23.63 O.OX *30.84 0.2X *79.77 1.5X *48.13 O.U *20.68 0.2X *48.14 2.AX *54.19 1.3X *46.28 0.6X *51.94 0.2X *20.85 O.OX *17.39 O.SX *33.70 0.2X *19.49 O.SX *24.84 2.9X *56.51 23.SX *51.30 0.2X *40.68 24.OX 20.3X 20.9X 18.6X 11.AX 22.OX 19.5X 22.7X 13.2X 17.6X 19.0X 19.AX 15.9X 18.6X 20.7X 1A.9X 1A.8X 19.0X 20.1X 23.1X 18.9X 13.2X 21.7X 22.SX 19.6X 22.5X 24.SX 20.1X 22.2X COUNTY PERCENT PER PERCENT CHANGE FAMILY SALES OF TOTAL CAPITA OF TOTAL 84(3)TO RESTAURANT REVENUES SALES SALES YEAR 85(3) SALES TAX TNI 1985(A) TOTAL COUNTY IV 100.0X 27.IX S8A.78 41.6X27,027,407 875.885,175 285.0A5 8,826,117 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(4)to SALES SALES YEAR 85(A) TAX TAX 1985 TOTAL SALES SALES REVENUES 1985 FAMILY SALES RESTAURANT REVENUES SALES TAX PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX 1988(1) 100.0X 25.OX S59.38 1.5X 108,008,A2A 2,700,210,800 20,395,595 509,889,875 1,059,648 28,491,158 245,730 6,143,252 100.0X 18.6X S55.05 ro PO o COUNTY SALES CHANGE FAMILY 85(1)to RESTAURANT REVENUES 86(1) SALES TAX 1986(2) ALCONA -1.SX 12,871 ALGER 154.9% 11,358 ALLEGAN -1.9% 140,180 ALPENA 2.8% 92,924 ANTRIM 48.2% 38,229 ARENAC 30.9% 31,516 BARAGA U.7% 9,389 -36.7% BARRY 43,994 BAY 7.5% 295,169 BENZIE 15.6% 43,276 BERRIEN 5.3% 281,938 BRANCH -9.3% 70,032 CALHOUN -1.6% 782,730 CASS 13.1% 20,461 CHARLVX. 14.7% 33,531 37,867 CHEBOYGAN -1.7% CHIPPEWA -9.8% 101.0S6 CLARE 35.8% 47.382 CLINTON 4.5% 49,969 CRAWFORD -0.9% 36,736 DELTA -3.4% 120,490 DICKINSON -5.3% 27,870 EATON 10.1% 183,103 0.9% EMHET 84,884 GENESSE 9.4% 1.331,495 GLADWIN 3.3% 49,374 GOGEBIC -2.7% 25,726 GR. TRAV. -3.2% 354,010 PERCENT PER PERCENT CHANGE FAMILY OF TOTAL CAPITA OF TOTAL 85(2)to RESTAURANT SALES SALES YEAR 86(2) SALES TAX TAX 1986(3) 321,775 0.0% $33.04 24.7% 1.6% 20,726 283,950 0.0% $30.78 19.2% 101.2% 28,320 3,504,500 0.5% $42.97 26.7% 1.1% 171.878 2,323,100 0.3% $71.89 24.9% 0.3% 106,927 955,725 0.1% $59.02 19.8% 14.8% 83,013 787,900 0.1% $53.58 28.7% 34.3% 41,497 12,337 234,725 0.0% $27.67 24.2% -5.6% 1,099,850 0.2% $24.02 26.0% -17.6% 49,079 5.9% 327,842 7,379,225 1.0% $61.55 24.8% 1,081,900 0.1% $96.56 21.8% 10.1% 84,165 7,048,450 1.0% $41.15 26.2% 14.6% 331,557 1,750,800 0.2% $43.57 25.0% -5.6% 82,972 2.5% 800.55B 19,568,250 2.7XS138.24 25.9% 5.8% 511,525 0.1% $10.33 25.6% 21,278 838,275 0.1% $42.11 17.9% -6.0% 90,451 946,675 0.1% $45.85 24.8% 33.5% 67,810 2,526,400 0.3% $87.03 24.6% 9.2% 168,257 1,184,550 0.2% $49.73 27.0% 37.8% 55,202 1,249,225 26.0% 2.3% 54,484 0.2% $22.35 2.5% 918,400 0.1% $97.03 26.0% 47,701 4.0% 156,031 3,012,250 0.4% $77.34 25.2% 696,750 0.1% $27.49 26.2% -7.3% 32,413 4,577,575 0.6% $51.82 26.2% 8.2% 182,294 2,122,100 0.3% $92.30 21.4% -5.0% 210,919 33,287,375 4.6% $73.90 26.3% 5.7% 1,301,555 1,234,350 8.0% 56,966 0.2% $61.85 27.3% 643,150 6.9% 35,922 0.1% $32.67 23.5% 8,850,250 9.3% 498,243 1.2%$161.21 24.3% SALES REVENUES PERCENT PER PERCENT CHANGE FAMILY OF TOTAL CAPITA OF TOTAL 8S(3)to RESTAURANT SALES SALES YEAR 86(3) SALES TAX TAX 1986(4) 518,150 39.7% -1.5% 0.1% $53.20 13,254 708,000 47.9% 87.8% 0.1% $76.75 10,600 4,296,950 32.8% 0.6% $52.69 3.8% 120,470 28.7% -6.8% 100,217 2,673,175 0.3% $82.72 43.0% 47.1% 2,075,325 0.3%$128.15 38,747 1,037,425 37.6% 0.1% $70.54 4.1% 21,508 308,425 0.0% $36.35 31.8% -7.8% 8,287 29.0% 8.4% 1,226,975 0.2% $26.80 45,134 8,196,050 27.5% 12.4% 318,268 1.0% $68.37 42.4% 2,104,125 0.3XS187.78 3.2% 34,231 8,288.925 1.1% $48.40 30.9% 12.4% 264,069 2,074,300 0.3% $51.61 29.7% 2.6% 74,242 20,013,950 4.7% 786,064 2.6XS141.38 26.5% 531,950 26.6% -3.8% 0.1% $10.75 19.014 2,261,275 48.2% 22.4% 0.3XS113.59 36,510 1,695,250 44.4% 34.2% 0.2% $82.10 28,320 41.0% 16.9% 4,206,425 0.5XS144.90 78,920 1,380,050 31.5% 33.0% 0.2% $57.93 39,513 28.4% 1,362,100 0.2% $24.37 4.2% 47,248 1,192,525 0.2X$125.99 33.7% -5.3% 30,372 3,900,775 32.6% 9.3% 106,359 0.5%$100.16 30.5% -9.2% 810,325 0.1% $31.98 23,677 4,557,350 0.6% $51.59 26.0% 11.2% 178,661 5,272,975 53.2% -2.7% 0.7XS229.34 57,965 32,538,875 4.2% $72.24 25.8% 6.3% 1,276,383 1,424,150 0.2% $71.36 31.5% 4.8% 43,455 898,050 32.8% 13.6% 0.1% $45.62 23,450 34.1% 8.4% 338,493 12,456,075 1.6XS226.89 SALES REVENUES 331,350 265,000 3,011,750 2,505,425 968,675 537,700 207,175 1,128,350 7,956,700 855,775 6,601,725 1,8S6,050 19,651,600 475,350 912,750 708,000 1,973.000 987,825 1,181,200 759,300 2,658,975 591,925 4,471,525 1,449,125 31,909,575 1,086,375 586,250 8,462,325 PERCENT PER OF TOTAL CAPITA SALES SALES TAX 0.0% $34.02 0.0% S28.73 0.4% $36.93 0.3% $77.53 0.1% $59.82 0.1% $36.56 0.0% $24.42 0.2% $24.65 1.1% $66.37 0.1% $76.37 0.9% $38.54 0.3% $46.18 2.7%$138.82 0.1% $9.60 0.1% $45.85 0.1% $34.29 0.3% $67.97 0.1% $41.47 0.2% $21.13 0.1% $80.22 0.4% $68.27 0.1% $23.36 0.6% $50.62 0.2% $63.03 4.4% $70.84 0.1% $54.44 0.1% $29.78 1.2X$154.14 COUNTY CHANGE FAMILY SALES escDto RESTAURANT REVENUES 06(1) SALES TAX 1980(2) -3.4X 47,605 GRATOIT HILLSDALE O.AX 94,074 HOUGHTON -5.6X 25,182 HURON -3.AX 75,204 INGHAM 1.9X 720,733 A.1X 43,177 IONIA 10 .zx 07,052 IOSCO IRON 10.3X 32,588 ISABELLA -5.7X 135,000 JACKSON 4.6X 470,305 KALAMAZOO S.IX 430,010 KALKASKA 5.6X 40,311 KENT -O.OX 1,031,999 KEUEENAU -A9.5X 2,400 11,229 LAKE 32.7X LAPEER -0.5X 133,201 LEELANAU 8.6X 40,090 -1.0X 195,183 LENAUEE 3.OX 124,005 LIV. -A.7X 11,302 LUCE MACKINAC 59,340 -A.5X 9. IX 1,903,857 MACOMB MANISTEE 0.3X 39,730 MARQUETTE O.OX 107,812 MASON -10.6X 77,300 41,395 MECOSTA S.9X 31,590 MENOMINEE -36.9X MIDLAND 10.0X 137,847 PERCENT CHANGE FAMILY PERCENT PER OF TOTAL CAPITA OF TOTAL 85(2)to RESTAURANT 80(2) SALES TAX SALES SALES YEAR TAX 1980(3) 1,190,125 0.2X S29.42 25.9X -6.5X 40,887 2,351,850 0.3X S55.90 26.BX 5.7X 100,541 029,550 0.1X $10.02 22.9X -7.4X 38,440 1,881,000 26.2X -5.9X 100,144 0.3X $51.61 18,018,325 2.5X $05.40 25.6X 7.7X 775,017 1,079,425 27.8X O.IX $20.83 8.2X 42,764 1,091,300 26.OX -3.0X 0.2X $59.66 97,070 814,700 O.IX $59.75 26. IX 11.OX 39,272 3,370,500 0.5X $02.40 25.5X 11.8X 154,790 26.IX 11,757,025 1.6X $77.61 5.9X 475,294 10,900,400 2S.4X 1.SX $51.33 2.3X 437,514 1,007,775 O.IX $92.02 25.OX -5.4X 52,698 40,799,975 5.6X $91.79 25.5X 3.4X 1,006,633 00,000 18.4X 19.BX O.OX $30.57 8,731 2B0.72S O.OX $30.41 27.6X 35.7X 13,473 26.4X 3,331,525 0.5X $47.57 8.IX 137,106 1,017,450 O.IX $72.64 22.9X 5.4X 85,145 2S.9X 4,879,575 0.7X $54.25 3.9X 207,120 20.3X 3,101,625 O.AX $30.93 0.2X 130,999 23.3X 12.5X 282,550 O.OX $42.43 19,994 1,483,500 0.2XS145.76 22.2X -1.2X 145,880 47,590,425 25.7X 11.2X 1,926,478 O.SX $08.52 993,250 24.2X O.IX $43.15 4.5X 57,131 4,195,300 24.OX O.OX $56.62 9.4X 200,431 1,934,000 25.OX -11.6X 120,297 0.3X $73.35 1,034,875 O.IX $28.00 23.5X 18.IX 53,472 789,750 O.IX $30.14 26.5X -26.4X 30,082 3,440,175 O.SX $46.84 25.8X 7.5X 135,033 SALES REVENUES 1,172,175 2,513,525 961,150 2,503,600 19,375,425 1,069,100 2,426,750 981,800 3,809,750 11,882,350 10,937,850 1,317,450 41,005,825 218,275 336,825 3,427,050 2,128,025 5,178,000 3,274,975 499,850 3,647,000 48,161,950 1,428,275 5,010,775 3,157,425 1,330,800 902,050 3,375,825 PERCENT PER PERCENT CHANGE FAMILY OF TOTAL CAPITA OF TOTAL 85(3)to RESTAURANT SALES SALES TEAR 86(3) SALES TAX TAX 1980(4) 0.2X $28.98 2S.5X -O.OX 50,078 0.3X $59.74 28.6X 0.2X 83,900 O.IX $25.38 35.OX •6.5X 26,141 0.3X $08.67 34.BX -3.7X 01,369 2.5X $70.32 27.5X 11.7X 713,876 27.SX -4.8X 0.1X $20.03 35,488 37.3X -7.0X 0.3X $85.60 52,900 31.5X O.IX $72.01 5.2X 28,095 29.3X 11.8X 134,950 0.5X $71.52 20.3X 1.5X $78.43 9.2X 459,533 1.4X $51.50 25.5X 1.8X 436,261 0.2XS120.29 33.4X -3.7X 31,317 5.3X $93.74 20.IX 6.8X 1,644,114 O.OXS111.19 67. IX 11.2X 1.112 O.OX $43.08 33.IX -0.7X 9,709 O.AX $48.94 27.2X 9.8X 126,283 0.3XS151.97 47.9X -1.1X 30,928 0.7X $57.57 27.SX 7.6X 191,756 27.8X 0.4X $32.00 3.7X 109,140 0.1X $75.00 41.2X 21.9X 10,302 0.5XS358.32 54.OX 3.6X 43,994 6.2X $09.34 26.OX 5.ex 1,899,011 0.2X $02.05 34.BX 11.3X 37,767 O.OX $07.02 29.3X 8.OX 174,055 0.4X$119.76 40.9X -4.IX 04,865 0.2X $30.17 30.4X 28.3X 47,057 O.IX $34.43 30.3X -1.4X 29,300 O.AX S4S.88 2S.3X 3.2X 135,583 SALES REVENUES 1,251,950 2,097,500 653,525 1,534,225 17,840,900 887,200 1,324,150 702,375 3,373,900 11,488,325 10,906,525 782,925 41,102,650 27,800 242,725 3,157,075 773,200 4,793,900 2,728,650 259,050 1,099,850 47,475,275 944,175 4,351,375 1,621,625 1.170.42S 734,000 3,389,575 PERCENT PER OF TOTAL CAPITA SALES SALES TAX 0.2X $30.95 O.SX $49.80 O.U $17.20 0.2X $42.08 2.5X $04.78 O.U $17.12 0.2X $46.71 O.U $51.51 0.5X $02.35 1.6X $75.83 1.SX $51.35 O.U $71.49 5.6X $92.47 O.OX $14.16 O.OX $31.48 O.AX $45.08 O.U $55.20 0.7X $53.30 O.AX $27.21 O.OX $38.90 0.2XS108.06 6.5X $08.35 O.U $41.02 0.6X $58.72 0.2X $01.51 0.2X $31.83 O.U $28.01 0.5X $40.07 COUNTY MISSAUKEE NONROE MONTCALM MONTH. MUSKEGON NEUATGO OAKLAND OCEANA OGEMAW ONTONAGON OSCEOLA OSCOOA OTSEGO OTTAWA PRES. IS. ROSCOMMON SAGINAW ST. CLAIR ST.JOSEPH SANILAC SCHCRFT. SHIAUASSE TUSCOLA VAN SUREN WASHTENAW WAYNE WEXFORD OUT/STATE CHANGE FAMILY SALES B5(1)to RESTAURANT REVENUES 86(1) SALES TAX 1986(2) B.2X 9,129 0.2X 118,778 IB.6% 101,008 14.OX 26,794 2.IX 278,657 0.6X 59,374 4.3X 4,123,519 -4.4X 35,572 7.6X 41,784 12.4X 12,455 16.5X 23,900 *12.SX 13,169 6.8X 60,377 26.3X 395,297 15.7X 19,702 5.2X 49,333 2.SX 632,457 10.0X 333,582 -18.5X 144,173 22.OX 48,999 -27.9X 11,465 8.4X 116,314 -4.6X 50,368 5.3X 89,731 6.IX 668,647 7.7X 5,089,865 -25.SX 51,559 3.2X 5,428,721 PERCENT PER PERCENT CHANGE FAMILY SALES PERCENT PER PERCENT CHANGE FAMILY RALES PERCENT PER OF TOTAL CAPITA OF TOTAL 85(2)to RESTAURANT REVENUES OF TOTAL CAPITA OF TOTAL 85(3>to RESTAURANT REVENUES O f TOTAL CAPITA SALES SALES YEAR 86(2) SALES TAX SALES SALES YEAR 86(3) SALES TAX SALES SALES TAX TAX TAX 1986(3) 1986(4) O.OX $22.60 24.2X O.OX 326,700 228,225 13,068 O.OX $32.64 34.7X 18.9X 7,829 195,725 O.OX $19.55 0.4X $22.05 26.2% 2,969,450 26.2X 1.7X 118,890 2,972.250 0.4X $22.07 6.2X 121,139 3,028,475 0.4X $22.49 0.3X $53.10 2,525,200 26.SX 15.7X 113,508 2,837,700 0.4X $59.67 29.ex 6.4X 0.3X $49.97 95,057 2,376,425 O.IX $89.41 669,850 26.OX 65.7X 41,140 1,028,500 0.1U137.28 39.9X 65.8% 23,303 582,575 O.IX $77.76 1.0X $44.21 25.4X 0.6X 304,508 7,612,700 6,966,425 1.0X $48.31 27.BX 2.8X 272,736 6,818,400 0.9X $43.27 1,484,350 0.2X $42.51 26.9X 4.IX 66,724 1,668,100 0.2X $47.77 30.3X •3.8X 51,247 1,281,175 0.2X $36.69 14.1U101.B9 2S.6X 8.OX 4,171,292 104,282,300 103,087,975 13.4XS103.07 25.9% 9.6X 4,164,566 104,114,150 14.3U102.90 O.IX $40.42 889,300 26.6X 9.OX 0.2X $59.49 52,352 1,308,800 39.IX 26.3X 28,247 706,175 O.IX $32.10 1,044,600 O.IX $63.56 25.2X 5.6X 54,126 1,353,150 0.2X $82.33 32.6X 6.4X 40,823 1,020,575 O.IX $62.09 O.OX $31.58 23.8X 456,175 311,375 5.4X 18,247 0.1X $46.26 34.8X 1.9X 293,300 11,732 O.OX $29.74 O.IX $31.57 26.OX 5.8X 663,275 O.IX $35.04 597,500 26,531 28.8X 6.2X 593,750 23,750 O.IX $31.37 329,225 O.OX $48.01 24.8X 1.3X 19,189 479,725 36.1% 19.7X O.IX $69.95 307,200 12,288 O.OX $44.79 0.2X$100.68 23.5X 0.3X 94,370 2,359,250 0.3XS157.36 1,509,425 36.8X 2.5X 0.2X $90.32 54,167 1,354,175 27. IX 24.9% 431,552 10,788,800 9,882,425 1.4X $62.88 1.4X $68.64 29.6X 11.8% 330,565 8,264,125 1.1% $52.58 492,550 O.IX $34.52 24.9X 21.6% 760,825 O.IX $53.33 38.SX -1.1X 30,433 17,046 426,150 O.IX $29.87 0.2X $75.32 23.2X 2.9X 0.3XS131.62 1,233,325 86,208 2,155,200 40.5X 10.1% 45,636 1,140,900 0.2X $69.68 28.4% 15,811,425 2.2X $69.33 24.3X 3.1X 738,812 18,470,300 2.4X $80.99 5.IX 737,766 18,444,150 2.5X $80.87 1.1X $60.08 8,339,550 26. IX 11.6% 389,287 9,732,175 1.2X $70.12 30.5X 18.5X 297,272 7,431,800 1.0X $53.54 0.5X $64.27 3,604,325 28.6X -23.OX 141,519 3,537,975 0.5X $63.08 28.OX -14.5X 102,335 2,558,375 0.4X $45.62 27.2% -8.7X 0.2X $30.03 1,224,975 56,307 1,407,675 0.2X $34.51 31.2X -3.7X O.IX $25.13 41,009 1,025,225 466,300 41.2% -22.5X 286,625 O.OX $33.43 25.3X -27.OX 18,652 0.1X $54.38 9,171 229,275 O.OX $26.74 0.4X $40.88 26.3X 7.IX 117,984 2,949,600 0.4X $41.46 26.7X 2,907,850 8.7X 111,789 2,794,725 0.4X $39.28 1,259,200 0.2X $22.11 2S.9X -13.3X 53,566 1,339,150 0.2X $23.51 27.5X -10.3X 0.2X $20.32 46,303 1,157,575 31.6% -3.7X 0.3X $33.57 26.5X -7.4X 106,991 2,674,775 O.SX $40.03 2,243,275 0.3X $28.15 75,227 1,880,675 2.3X $63.14 25. IX 16,716,175 6.6X 697,926 17,448,150 2.2X $65.90 26.2X 3.8X 699,704 17,492,600 2.4X $66.07 25.8X 3.9X 4,859,254 121,481,350 15.6X $51.96 24.6% -0.6X 5,019,571 125,489,275 127,246,625 17.4X $54.43 17.2X $53.68 0.2X $51.35 2S.4X -13.1X 63,901 1,597,525 0.2X $63.64 31.4X -8.3X 1,288,975 46,909 1,172,725 0.2X $46.72 26.9% 12.5X 5,794,301 144,857,525 1B.6X 24.6X 8.2X 5,925,094 148,127,350 19.0X 19.9X 135,718,025 COUNTY CHANGE FAMILY SALES 85(1 ) t o RESTAURANT REVENUES 8 6 (1 ) SALES TAX PERCENT PER PERCENT CHANGE FAMILY SALES OF TOTAL CAPITA OF TOTAL 8 5 { 2 ) to RESTAURANT REVENUES SALES SALES YEAR 8 6 (2 ) SALES TAX TAX 1 9 8 6 (2 ) TOTAL COUNTY V 1 9 8 6 (3 ) -15.7X29,189,324 729,733,100 286,272 PERCENT PER PERCENT CHANGE FAMILY SALES OF TOTAL CAPITA OF TOTAL 8 5 ( 3 ) tO RESTAURANT REVENUES SALES SALES YEAR 8 6 (3 ) SALES TAX TAX 7,156,808 100.0X 26.SX S64.13 1 9 8 6 (4 ) 6.1X31,242,270 781,056,750 305,026 PERCENT PER OF TOTAL CAPITA SALES SALES TAX 7,625,655 100.0X 28.4X S68.34 6.8X29,114,201 727,855,025 280,963 7,024,066 100.0% $62.94 ro ro COUNTY PERCENT CHANGE OF TOTAL 85(4)to TEAR 86(4) ALCONA ALGER ALLEGAN ALPENA ANTRIM ARENAC BARAGA BARRT BAT BENZIE BERRIEN BRANCH CALHOUN CASS CKARLVX. CHEBOYGAN CHIPPEWA CLARE CLINTON CRAWFORD DELTA DICKINSON EATON EMMET GENESSE GLADWIN GOGEBIC GR. TRAV. 25.AX 17.9X 23.OX 26.9X 20.IX 19.6X 21.3X 26.7X 26.7X 17.3X 24.6X 26.5X 26.OX 23.BX 19.5X 18.SX 19.2X 22.5X 24.6X 21.SX 22.2X 22.3X 2S.SX 14.6X 25.JX 24.OX 21.4X 23.2X 7.8X 110.9X 6.6X 11.4X 33.6X -3.0X -11.4X 13.6X 16.9X -1.7X 19.2X 21.9X 8.IX •13.8X 32.9X 8.SX S.2X 25.OX 6.1X -1.5X 1.8X -23.7X 9.7X -8.6X 5.7X 11.9X 6.4X 11.BX TOTAL SALES TAX 1986 52,210 59,142 524,626 372,956 193,166 109,816 38.839 169,308 1,191,695 198,410 1,074,712 279,743 3,019,211 79,847 187,637 152,730 410,737 175,382 192,039 141,391 478,506 106,301 700,153 396,711 5,054,314 181,064 109,442 1,4S9,71B TOTAL SALES REVENUES 1986 1,305,250 1,478,550 13,115,650 9,323,900 4,829,150 2,745,400 970,975 4,232,700 29,792,375 4.960,250 26,867,800 6,993,575 75,480,275 1,996.175 4,690,925 3,818,250 10,268,425 4,384,550 4,800,975 3,534,775 11,962,6S0 2,657,525 17,503,825 9,917,775 126,357,850 4,526,600 2,736,050 36,492,950 no no CJI COUNTY PERCENT CHANGE OF TOTAL 85(4)to YEAR 86(4) GRATOIT HILLSDALE HOUGHTON HURON INGHAM IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEEHAU LAKE LAPEER LEELANAU LENAUEE LIV. LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE MIDLAND 27.2X 23.9% 23.BX 21.3% 25.3% 22.8% 20.3X 22.5% 25.5% 25.5% 25.4% 19.9% 25.7% B.5X 23.9X 25.OX 17.4X 25.5% 23.IX 21.4X 16.SX 25.7% 23.OX 2S.5X 21.OX 26.BX 24.n 25.4X 1.8X 3.1% 6.6X -10.6X 10.5X -4.OX -7.4X -1.5X 7.2X B.1X 2.5% -20.3% 6.3X -54.3% -0.3X 9.2% 20.OX 9.9X -13.BX 37.2X 27.9X 1.2X 8.3X 13.OX -6.4X 20.6% 8.9X 10.1% TOTAL SALES TAX 1986 184,024 351,232 109,825 287,445 2,818,950 155,415 260,353 124,812 528,930 1,804,375 1,714,633 157,761 6,388,995 13,012 40,708 504,994 177.938 752,407 471,479 48,504 267,116 7,397.905 164,274 683,126 309,025 175,831 119,098 534,439 TOTAL SALES REVENUES 1986 4,600,600 8,780,800 2,745,625 7,186,125 70,473,750 3,885,375 6,508,825 3,120,300 13,223,250 45,109,375 42,865,825 3,944,025 159,724,875 325,300 1,017,700 12,624,850 4,448,450 18,810,175 11,786,975 1,212,600 6,677,900 184,947,625 4,106,850 17,078,150 7,725,625 4,395,775 2,977,450 13,360,975 FO ro CTt COUNTY PERCENT CHANGE OF TOTAL 8S(4)tO YEAR 86(4) MISSAUKEE MONROE MONTCALM MONTH. MUSKEGON NEWAYGO OAKLAND OCEANA OGEMAW ONTONAGON OSCEOLA OSCOOA OTSEGO OTTAWA PRES. IS. ROSCOMMON SAGINAW ST. CLAIR ST.JOSEPH SANILAC SCHCRFT. SHIAWASSE TUSCOLA VAN SUREN WASHTENAW WAYNE WEXFORO OUT/STATE TOTAL SALES TAX 19B6 20.as 0.2X 37,664 26.7S 17.7X 453,666 24.9X 11.3X 381,463 22.6X 3B.8X 103,015 24.9* 6.4X 1,096,938 23.3X 5.6X 220,382 25.8* 9.5X 16,118,349 21.IX 23.2* 133,817 24.6X 3.5X 166,033 9.2* 22.4X 52,379 25.BX 9.6X 92,071 23.IX -7.3X 53,107 21.IX 0.4X 256,754 22.6X 3.3X 1,460,029 21.6* -2.6* 78,985 21.5X 19.7X 212,710 28.3* 11.ex 2,603,371 23.3X 5.4X 1,277,098 20.3* -22.7* 504,542 22.7X 9.2X 180,333 20.3X -25.7X 45,252 25.3* B.7X M l ,977 23.ax -11.4* 194,635 22.2X -3.8* 338,328 26.3X 4.4X 2,664,739 25.4* 3.3X 19,766,012 23.IX -6.6X 203,213 26.3X 1S.2X 22,043,905 TOTAL SALES REVENUES 1986 941,600 11,341,650 9,536,575 2,575,375 27,423,450 5,509,550 402,958,725 3,345,425 4,150,825 1,309,475 2,301,775 1,327,675 6,418,850 36,500,725 1,974,625 5,317,750 65,084,275 31,927,450 12,613,550 4,508,325 1,131,300 11,049,425 4,865,875 8,458,200 66,618,475 494,150,300 5,080,325 551,097,625 ro ro COUNTY PERCENT CHANGE TOTAL OF TOTAL B5(4)to SALES YEAR 86(4) TAX 1986 TOTAL COUNTY AV 26.SX TOTAL SALES REVENUES 1986 7.7X109,941,390 2,748,334,750 1,117,991 27,949,781 ro ro oo APPENDIX I STATISTICAL ABSTRACT FOR FAST FOOD SALES TAX BY QUARTER FOR MICHIGAN COUNTIES 1983-86 COUNTY POPULATION ALCONA ALGER ALLEGAN ALPENA ANTRIM ARENAC BARAGA BARRY BAY BENZIE BERRIEN BRANCH CALHOUN CASS CHARLVX. CHEBOYGAN CHIPPEWA CLARE CLINTON CRAWFORD DELTA DICKINSON EATON ENMET GENESSE GLADWIN GOGEBIC GR. TRAV. 9,740 9,225 81,555 32,315 16,194 14,706 8,484 45,781 119,881 11,205 171,276 40,188 141,557 49,499 19,907 20,649 29,029 23,822 55,893 9,465 38,947 25,341 88,337 22,992 450,449 19,957 19,686 54,899 FAST SALES PERCENT PER PERCENT FOOD REVENUES OF TOTAL CAPITA OF TOTAL SALES SALES YEAR SALES TAX TAX 1983(1) 944 23,600 O.OX $2.42 10.1X 4,400 176 O.OX $0.48 11.6X 10,647 266,175 0.2% $3.26 12.7X 16,800 420,000 0.3% $13.00 19.IX 23,150 O.OX $1.43 926 13.2X 372,950 0.2X $25.36 14,918 18.6X 598 14,950 O.OX $1.76 6.6X 1,811 45,275 O.OX $0.99 10.6X 44,776 1,119,400 0.7X $9.34 17.6X 0 O.OX $0.00 0 O.OX 103,222 2,580,550 1.7X $15.07 18.5X 3,677 91,925 0.1X $2.29 11.7X 106,900 2,672,500 1.8X $18.88 24.3X 245,875 9,835 0.2X $4.97 17.1X 3,851 96,275 0.1X $4.84 9.9X 8,968 224,200 0.2X $10.86 15.7X 412,450 0.3X $14.21 16,498 23.2X 3,243 81,075 0.1X $3.40 10.9X 40,325 1,613 O.OX $0.72 11.6X 250,575 25.9X 10,023 0.2X $26.47 2,359 58,975 O.OX $1.51 4.7X 329,300 13,172 17.2X 0.2X $12.99 14,315 357,875 19.OX 0.2X $4.05 171,825 10.2X 6,873 0.1X $7.47 250,976 6,274,400 4.2X $13.93 21.2X 2,952 73,800 O.OX $3.70 17.3X 209,825 8,393 0.1X $10.66 23.2X 985,750 39,430 0.7X $17.96 21.7X FAST SALES PERCENT PER PERCENT FOOD REVENUES OF TOTAL CAPITA OF TOTAL CHANGE SALES SALES SALES YEAR 01 TO 02 TAX TAX 1983(2) 2,993 74,825 O.OX $7.68 32.OX 217.IX 365 9,125 O.OX $0.99 24.OX 107.4X 24,664 616,600 0.3X $7.56 29.3X 131.7% 22,801 0.3X $17.64 570,025 2S.9X 35.7X 1,206 30.2% 30,150 O.OX $1.86 17.2X 21,209 530,225 0.3X $36.06 26.5X 42.2% 3,203 80,075 O.OX $9.44 35.IX 435.6X 6,258 156,450 0.1X $3.42 36.5X 245.6% 67,288 1,682,200 0.9X $14.03 26.SX 50.3X 923 23,075 O.OX $2.06 36.7X ERR 147,511 3,687,775 2.OX $21.53 26.4X 42.9X 9,279 231,975 0.1X $5.77 29.6X 152.4X 108,031 2,700,775 1.5X $19.08 24.6X 1.1X 17,560 439,000 0.2X $8.87 30.5X 78.5% 28.2% 184.2% 10,945 273,625 0.1X $13.75 14,103 0.2X $17.07 24.7% 352,575 57.3X 19,000 26.7% 475,000 0.3X $16.36 15.2X 9,671 0.1X $10.15 32.6X 198.2X 241,775 4,164 104,100 0.1X $1.86 30.IX 158.2X 15,106 0.2X $39.90 377,650 39.OX 50.7X 13,717 342,925 0.2X $8.80 27.OX 481.5% 0.3X $20.97 27.8X 21,251 531,275 61.3X 22,074 551,850 0.3X $6.25 29.3X 54.2X 15,403 0.2X $16.75 22 .ex 385,075 124.IX 305,403 7,635,075 4.2X $16.95 25.8X 21.7% 5,183 30.4% 0.1X $6.49 129,575 75.6X 9,593 239,825 0.1X $12.18 26.6X 14.3% 43,058 1,076,450 0.6X $19.61 23.7% 9.2X FAST SALES FOOD REVENUES SALES TAX 1983(3) 4,453 111,325 738 18,450 31,366 784,150 27,222 680,550 2,063 51,575 25,934 648,350 4,370 109.2S0 6,508 162,700 74,592 1,864,800 1.595 39,875 170,914 4,272,850 12,380 309,500 121,476 3,036,900 18,336 458,400 19,231 480,775 21,485 537,125 19,276 481,900 13,280 332,000 4,748 118,700 9,964 249,100 20,658 516,450 22,366 559,150 21,641 541,025 35,325 883,125 329,337 8,233,425 5,165 129,125 9,764 244,100 56,628 1,415,700 PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX 0.1X $11.43 O.OX $2.00 0.4X $9.61 0.3X $21.06 O.OX $3.18 0.3X $44.09 0.1X $12.88 0.1X $3.55 0.9X $15.56 O.OX $3.56 2.IX $24.95 0.2X $7.70 1.5X $21.45 0.2X $9.26 0.2X $24.15 0.3X $26.01 0.2X $16.60 0.2X $13.94 0.1X $2.12 0.1X $26.32 0.3X $13.26 0.3X $22.07 0.3X $6.12 0.4X $38.41 4.IX $18.28 0.1X $6.47 0.1X $12.40 0.7X $25.79 47.6X 48.6X 37.3X 31.OX 29.4X 32.4X 47.9X 38.OX 29.4X 63.3X 30.6% 39.5X 27.6X 31.6% 49.5X 37.6X 27.IX 44.7X 34.3X 25.7% 40.7X 29.2X 28.7% 52.3X 27.8X 30.3% 27.0% 31.2X COUNTY POPULATION GRATOIT HILLSDALE HOUGHTON HURON INGHAM IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEENAU LAKE LAPEER LEELANAU LENAUEE L1V. LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE HIOLANO 40.448 42,071 37,872 36,459 275,520 51,815 28,349 13,635 54,110 151,495 212,378 10,952 444,506 1,963 7,711 70,038 14,007 89,948 100.289 6,659 10,178 694,600 23,019 74,101 26,365 36,961 26,201 73,578 FAST SALES TOGO REVENUES SALES TAX 1983(1) 8,460 211,500 12,250 306,250 3,176 79,400 4,512 112,800 206,422 5,160,550 20,991 524,775 8,857 221,425 1,945 48,625 22,099 552,475 82,113 2,052,825 280,489 7,012,225 155,096 0 1,161 14,531 1,062 21,857 10,443 1,322 7,461 274,488 6,280 46,350 12,911 21,655 12,203 4,490 3,877.400 0 29,025 363,275 26,550 546,425 261,075 33,050 186,525 6,862,200 157,000 1,158,750 322,775 541.375 305,075 112,250 PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX 0.1X S5.23 0.2X S7.28 0.1X S2.10 0.1X S3.09 3.SX $18.73 0.4X $10.13 0.1X $7.81 O.OX $3.57 0.4X $10.21 1.4X $13.55 4.7X $33.02 13.4X 22.IX 12.8X 8.9X 21.4X 17.8X 16.IX 14.6X 17.IX 16.5X 21.9X 2.6X O.OX O.OX 0.2X O.OX 0.4X 0.2X O.OX 0.1X 4.6X 0.1X 0.8X 0.2X 0.4X 0.2X 0.1X 19.5X O.OX 5.7X 17.OX 8.4X 18.2X 13.6X 14.2X IS.IX 20.9X 14.9X 15.7X 15.2X 27.IX 20.OX 18.6X $8.72 $0.00 $3.76 $5.19 $1.90 $6.07 $2.60 $4.96 $18.33 $9.88 $6.82 $15.64 $12.24 $14.65 $11.64 $1.53 FAST SALES PERCENT PER PERCENT FOOO REVENUES OF TOTAL CAPITA OF TOTAL CHANGE SALES SALES SALES YEAR Q1 TO 02 TAX TAX 1983(2) 15,120 378,000 0.2X $9.35 23.9X 78.7X 15,767 394,175 0.2X $9.37 28.SX 28.7X 7,585 189,625 0.1X $5.01 30.7X 138.8X 14,290 357,250 0.2X $9.80 2S.3X 216.7X 253,420 6,335,500 3.5X $22.99 26.2X 22.8X 28,710 717,750 0.4X $13.85 24.3X 36.8X 15,572 389,300 '0.2X $13.73 28.4X 7S.8X 3,250 81,250 O.OX $5.96 24.4X 67. IX 27,325 683,125 0.4X $12.62 21.IX 23.6X 1.9X $23.27 140,999 3,524,975 2B.4X 71.7X 318,965 7,974,125 4.4X $37.55 24.9X 13.7X 468 11,700 O.OX $1.07 76.6X ERR 205,253 5,131,325 2.8X $11.54 2S.8X 32.3X 1 25 O.OX $0.01 3.OX ERR 6,765 169,125 0.1X $21.93 33.IX 482.7X 21,964 549,100 0.3X $7.84 25.7X 51.2X 3,250 81,250 O.OX $5.80 25.6X 206.OX 32,814 820,350 0.4X $9.12 27.3X 50.1X 18,040 451,000 0.2X $4.50 23.4X 72.7X 2,094 52,350 O.OX $7.86 22.5X 58.4X 10,656 266,400 0.1X $26.17 21.5X 42.8X 368,922 9,223,050 5.OX $13.28 28.OX 34.4X 11,934 298,350 0.2X $12.96 28.4X 90.OX 58,870 1,471,750 0.8X $19.86 20.OX 27.OX 21.894 547,350 0.3X $20.76 2S.8X 69.6X 27,802 695,050 0.4X $18.80 34.9X 28.4X 14,482 362,050 0.2X $13.82 23.7X 1B.7X 7,025 175,625 0.1X $2.39 29.OX 56.5X FAST SALES FOOD REVENUES SALES TAX 1983(3) 17,615 440,375 15,839 395,975 9,001 225,025 19,342 483,550 250,957 6,273,925 40,419 1,010,475 20,715 517,875 4,620 115,500 37,955 948,875 148,757 3,718.92S 351,579 8,789,475 143 3,575 228,003 5,700,075 32 800 9,360 234,000 27,529 688,225 7,371 184,275 40,161 1,004,025 25,457 636,425 3,711 92,775 22,081 552,025 344,946 8,623,650 17.471 436,775 77,610 1,940,250 32,613 815,325 16,802 420,050 20,690 517,250 7,279 181,975 PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX 0.2X $10.89 0.2X $9.41 0.1X $5.94 0.2X $13.26 3.IX $22.77 0.5X $19.50 0.3X $18.27 0.1X $8.47 0.5X $17.54 1.9X $24.55 4.4X $41.39 O.OX $0.33 2.9X $12.82 O.OX $0.41 0.1X $30.35 0.3X $9.83 0.1X $13.16 0.5X $11.16 0.3X $6.35 O.OX $13.93 0.3X $54.24 4.3X $12.42 0.2X $18.97 1.0X $26.18 0.4X $30.92 0.2X $11.36 0.3X $19.74 0.1X $2.47 27.9X 28.6X 36.4X 38.3X 26.OX 34.2X 37.8X 34.6X 29.4X 29.9X 27.5X 23.4X 28.6X 97.0X 45.8X 32.2X 58.0X 33.4X 33.IX 39.9X 44.6X 26.2X 41.5X 26.4X 38.5X 21.IX 33.9X 30. IX COUNTY POPULATION MISSAUKEE 10,009 MONROE 134,659 MONTCALM 47,555 MONTHOREN 7,492 MUSKEGON 157,589 NEUAYGO 34,917 OAKLAND 1,011,793 OCEANA 22,002 OGEMAW 16,436 ONTONAGON 9,861 OSCEOLA 18,928 OSCODA 6,858 OTSEGO 14,993 OTTAWA 157,174 PRES. IS. 14,267 ROSCOMMON 16,374 SAGINAW 228,059 ST. CLAIR 138,802 ST.JOSEPH 56,083 SANILAC 40.7B9 SCHCRFT. 8,575 SHIAWASSE 71,140 TUSCOLA 56,961 VAN BUREN 66,814 WASHTENAW 264,748 WAYNE 2,337,891 WEXFORD 25,102 OUT/STATE FAST SALES PERCENT PER PERCENT FAST SALES PERCENT PER PERCENT FAST SALES PERCENT PER PERCENT FOOD REVENUES OF TOTAL CAPITA OF TOTAL FOQO REVENUES OF TOTAL CAPITA OF TOTAL CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL SALES SALES SALES YEAR SALES SALES SALES YEAR 01 TO 02 SALES SALES SALES TEAR TAX TAX TAX TAX TAX TAX 1983(1) 1983(2) 1983(3) 1,836 45,900 O.OX S4.59 14.SX 3,853 96,325 0.1X *9.62 30.3X 109.9X 5,134 128,350 40.4X O.U *12.82 13,439 335,975 0.2X S2.50 18.5X 25,436 635,900 0.3X (4.72 35.IX 89.3X 19,387 484,675 0.2X *3.60 26.7X 11.BX 10,980 4,076 0.1X $2.14 274,500 101,900 0.1X *5.77 31.8X 169.4X 13,815 345,375 0.2X (7.26 40.OX 1,159 11.3X 28,975 O.OX S3.87 2,554 63,850 24.9X 120.4X O.OX *8.52 3,979 99,475 36.BX O.OX *13.28 1.3X *12.70 80,053 2,001,325 20.1X 104,636 2,615,900 1.4X *16.60 26.3X 30.7X 117,596 2,939,900 29.6X 1.5X *18.66 5,704 142,600 0.1X *4.08 13.6X 15,994 399,850 0.2X *11.45 38.3X 180.4X 15,401 36.8X 385,025 0.2X *11.03 782,147 19,553,675 20.4X 990,116 24,752,900 13.IX *19.33 13.5X *24.46 25.BX 26.6X1,083,774 27,094,350 28.2X 13.6X *26.78 1,840 46,000 O.OX S2.09 9.9X 5,513 137,825 0.1X *6.26 29.6X 199.6X 7,787 194,675 O.U *8.85 41.8X 4,061 12.9X 9,880 247,000 101,525 O.U *6.18 0.1X *15.03 31.3X 143.3X 12,840 321,000 40.7X 0.2X *19.53 597 7.6X 1,882 47,050 14,925 O.OX *1.51 O.OX (4.77 24.OX 21S.2X 3,528 88,200 45.OX O.OX (8.94 4,528 113,200 0.1X *5.98 17.ex 7,282 182,050 0.1X (9.62 2S.7X 8,082 60.8X 202,050 O.U *10.67 31.BX 0 O.OX *0.00 O.OX 0 3,205 80,125 O.OX *11.68 32.7X ERR 4,919 50.2X 122,975 O.U *17.93 362 29.4X 4,200 9,050 O.OX *0.60 168 O.OX *0.28 13.6X -53.6X 197 16.OX 4,925 O.OX *0.33 61,893 1,547,325 1.0X *9.84 18.9X 83,291 2,082,275 25.4X 1.1X *13.25 34.6X 103,981 2,599,525 1.3X *16.54 31.7X 4,487 0.1X *7.86 18.IX 6,479 161,975 112,175 0.1X (11.35 26.IX 44.4X 8,563 214,075 O.U *15.00 34.5X 8.9X 2,805 70,125 O.OX *4.28 6,652 166,300 21.IX 137.IX 14,837 0.1X *10.16 47.1X 370,925 0.2X *22.65 34,665 0.6X *3.80 19.3X 40,035 1,000,875 866,625 O.SX (4.39 22.3X 1S.5X 51,001 1.275,025 0.6X *5.59 2B.4X 28,249 0.5X *5.09 18.OX 37,350 933,750 706,225 O.SX *6.73 23.8X 32.2X 51,206 1,280,150 0.6X *9.22 32.6X 26,318 657,950 19.4X 38,443 961,075 0.5X *17.14 28.4X 0.4X *11.73 46. IX 37,910 947,750 0.5X *16.90 28.OX 8,534 213,350 18.5X 11,942 298,550 25.9X 0.1X *5.23 0.2X *7.32 39.9X 15,160 32.8X 379,000 0.2X *9.29 436 15.4X 672 16,800 10,900 O.OX *1.27 O.OX *1.96 23.TX 1,311 54.IX 32,775 O.OX *3.82 46.2X 16,511 17.4X 25,986 649,650 412,775 0.3X *5.80 0.4X *9.13 27.4X 57.4X 29,552 31.2X 738,800 0.4X *10.39 2,216 55,400 O.OX *0.97 18.5X 3,097 77,425 25.BX 39.ex O.OX *1.36 3,943 32.9X 98,575 O.OX *1.73 14,374 18.6X 22,365 559,125 359,350 0.2X *5.38 0.3X *8.37 29.OX 55.6X 26,309 34.IX 657,725 0.3X *9.84 125,407 3,135,175 22.6X 133,968 3,349,200 2.IX *11.84 1.8X *12.65 24.2X 6.8X 149,492 3,737,300 1.9X *14.12 27.OX 872,121 21,803,025 14.6X *9.33 25.7X 21.3X1,050,623 26,265,575 14.3X *11.23 20.5X1,120,893 28,022,325 27.4X 14.IX *11.99 5,144 0.1X *5.12 19.IX 7,212 128,600 180,300 0.1X *7.18 26.7X 40.2X 9,853 36.5X 246,325 O.U *9.81 1,931,880 48,297,000 32.3X 23.8X2,081,791 52,044,775 28.4X 25.7X 7.6X2,158,316 53,957,900 27.U 26.6X COUNTY POPULATION FAST SALES PERCENT FAST SALES PERCENT FOOD REVENUES OF TOTAL CAPITA OF TOTAL FOOO REVENUES OF TOTAL CAPITA OF TOTAL SALES SALES SALES SALES TAX TAX TAX TAX PER SALES 9,262,078 3,975,362 1*9,384,050 COUNTY/AV 111.591 4 8 ,7 1 7 TEAR PER SALES PERCENT YEAR CHANGE 01 TO 02 1 .2 1 7 .9 1 6 100.0X 21.1X7,326,604 183,163,100 S 1 0 .9 1 ‘ OUT/STATE F ig u r e s N ot In c lu d e d In A verage* •ERR I n d ic a te * D iv is io n b y Z *ro 6 3 .1 9 1 1 ,5 7 9 ,7 6 3 FAST SALES PERCENT FOOO REVENUES OF TOTAL CAPITA OF TOTAL SALES SALES TAX 1983(3) 1983(2) 1903(1} TOTAL PERCENT 100.0X 23.9% $ 1 4 .1 6 SALES PERCENT YEAR TAX 22.6X7,967,639 199,190,973 6 9 ,9 9 2 PER 1 ,7 4 9 ,7 9 6 100.0X 28.2X $ 1 5 .6 8 COUNTY CHANGE 02 TO 03 ALCONA ALGER ALLEGAN ALPENA ANTRIM ARENAC BARAGA BARRY BAY BENZIE BERRIEN BRANCH CALHOUN CASS CHARLVX. CHEBOYGAN CHIPPEWA CLARE CLINTON CRAWFORD DELTA DICKINSON EATON EMMET GENESSE GLADWIN GOGEBIC GR. TRAV. 48.SX 102.2X 27.2% 19.4% 71.1% 22.3% 36.4% 4.0% 10.9% 72.6% 15.9% 33.4% 12.4% 4.4% 75.7% 52.3% 1.5% 37.3X 14.0% -34.0% 50.6% 5.2% -2.0% 129.3% 7.8% •0.3% i.a% 31.5% FAST SALES PERCENT PER PERCENT TOTAL TOTAL OF TOTAL CAPITA OF TOTAL CHANGE FOOO REVENUES SALES SALES SALES SALES SALES YEAR 03 TO 04 TAX REVENUES TAX TAX 1983 1983 1963(4) 10.3% -78.3% 967 24,175 0.0% S2.48 9,357 233,925 239 5,975 0.0% SO.65 15.7% -67.6% 1,518 37,950 17,470 436,750 0.2% S5.36 20.8% -44.3% 84,147 2,103,675 21,046 526,150 0.3% S16.28 24.0% -22.7% 87,869 2,196,725 2,630 70,750 0.0% S4.37 40.3% 37.2% 7,025 175,625 17,974 0.3% $30.56 22.5% -30.7% 449,350 80,035 2,000,875 0.0% S2.80 10.4% -78.2% 951 23,775 9,122 228,050 0.0% SI.40 14.9% -60.7% 2,555 63,875 17,132 428,300 26.5% 67,267 1,681,675 1.0% S14.03 -9.8% 253,923 6,348,075 0 0.0% SO.00 0.0% -100.0% 0 2,518 62,950 24.5% -19.9% 558,480 13,962,000 136,633 3,420.825 1.9% $19.97 6,041 151,025 0.1% S3.76 19.3% -51.2% 31,377 784,425 1.5% $18.20 103,076 2,576,900 23.5% -15.1% 439,483 10,987,075 0.2% S6.01 20.7% -35.1% 11,907 297,675 57,638 1,440,950 120,400 12.4% -75.0% 4,816 0.1% S6.05 38,843 971,075 22.0% -41.3% 12,601 315,025 0.2% $15.26 57,157 1,428,925 16,427 0.2% $14.15 23.1% -14.8% 71,201 410,675 1,780,025 3,494 87,350 0.0% S3.67 11.8% -73.7% 742,200 29,688 24.0% -29.9% 3,329 83,225 0.0% SI.49 13,854 346,350 9.4% -63.6% 3,625 0.1% S9.57 38,718 967,950 90,625 13,991 0.2% $8.98 27.6% -32.3% 50,725 1,268,125 349,775 0.3% $19.52 25.8% -11.5% 76,576 1,914,400 19,787 494,675 22.9% -20.1% 17,282 432,050 0.2% S4.89 75,312 1,882,600 0.1% $10.87 14.8% -71.7% 67,595 1,689,875 9,994 249,850 4.3% $16.65 25.3% 299,909 7,497,725 -8.9% 1,185,625 29,640,625 22.0% -27.3% 93,900 0.1% $4.71 17,056 426,400 3,756 8,359 0.1% $10.62 23.1% -14.4% 36,109 902,725 208,975 0.6% $19.40 23.4% -24.8% 181,726 4,543,150 42,610 1,065,250 FAST FOOD SALES TAX 1984(1) 604 188 13,407 23,758 1,857 12,496 806 1,828 70,937 0 141,692 5,840 98,683 12,774 4,757 11,669 18,592 2,665 4,538 3,261 11,376 14,487 14,989 10,053 309,771 1,664 8,375 39,928 SALES PERCENT PER PERCENT CHANGE REVENUES OF TOTAL CAPITA OF TOTAL 83(1>T0 SALES SALES YEAR 84(1) TAX 15,100 4,700 335,175 593,950 46,425 312,400 20,150 45,700 1,773,425 0 3,542,300 146,000 2,467,075 319,350 118,925 291,725 464,800 66,625 113,450 81,525 284,400 362,175 374,725 251,325 7,744,275 41,600 209,375 998,200 0.0% S1.55 0.0% $0.51 0.2% $4.11 0.4% $18.38 0.0% $2.87 0.2% $21.24 0.0% $2.38 0.0% $1.00 1.1% $14.79 0.0% $0.00 2.1% $20.68 0.1% S3.63 1.5% $17.43 0.2% $6.45 0.1% S5.97 0.2% $14.13 0.3% $16.01 0.0% S2.B0 0.1% $2.03 0.0% $8.61 0.2% $7.30 0.2% $14.29 0.2% $4.24 0.2% $10.93 4.6% $17.19 0.0% $2.08 0.1% $10.64 0.6% $18.18 6.9% 17.9% 16.3% 18.4% 17.1% 15.6% 7.9% 13.3% 20.2% 0.0% 19.2% 13.5% 20.4% 21.0% 11.8% 17.4% 24.6% 12.5% 22.8% 20.7% 18.5% 9.6% 24.0% 12.3% 21.9% 17.9% 23.7% 19.9% -36.0% 6.8% 25.9% 41.4% 100.5% -16.2% 34.8% 0.9% 58.4% ERR 37.3% 58.8% -7.7% 29.9% 23.5% 30.1% 12.7% -17.8% 181.3% -67.5% 382.2% 10.0% 4.7% 46.3% 23.4% -43.6% -0.2% 1.3% FAST SALES FOOO REVENUES SALES TAX 1984(2) 2,541 63,525 407 10,175 24,248 606,200 30,822 770,550 2,561 64,025 20,261 506,525 3,484 67,100 5,157 128,925 91,803 2,295.075 893 22,325 192,301 4,607,525 15,147 378,675 135,537 3,388,425 19,115 477,875 10,997 274,925 16,987 424,675 20,071 501,775 7,053 176,325 5,702 142,550 107,500 4,300 16,386 .409,650 23,245 561,125 15,979 399,475 22,057 551,425 380,106 9,502,650 71,875 2,875 12,283 307,075 51,785 1,294,625 COUNTY CHANGE 02 TO 03 GRATOIT 16.5X HILLSDALE O.SX HOUGHTON 1B.7X 35.AX HURON INGHAM -1.0X AO.SX IONIA IOSCO 33.OX IRON A2.2X ISABELLA 38.9X JACKSON 5.SX 10.2X KALAMAZOO KALKASKA -69.AX KENT 11.IX KEWEENAW 3100.OX LAKE 38.AX 25.3X LAPEER LEELANAU 126.BX LENAWEE 22.AX A1.1X LIV. LUCE 77.2X MACKINAC 107.2X MACOMB -6.SX A6.AX MANISTEE 31 .BX MARQUETTE MASON A9.0X •39.6X MECOSTA A2.9X MENOMINEE 3.6X HIDLANO FAST SALES PERCENT PER PERCENT TOTAL TOTAL FOOO REVENUES OF TOTAL CAPITA OF TOTAL CHANGE SALES SALES SALES SALES SALES YEAR 03 TO 04 TAX REVENUES TAX TAX 1983 1983 1983(A) 22,023 550,575 O.SX S13.61 34.8X 25.OX 63,218 1,580,450 288,275 20.8X -27.2X 11,531 0.2X $6.65 55,387 1,384,675 0.1X $3.29 20.IX -44.6X A.98S 124,625 24,747 618,675 12,355 308,875 0.2X $8.47 24.5X -36.IX 50,499 1,262,475 255,587 6,389,675 3.6X $23.19 26.4X 1.8X 966,386 24,159,650 28.0A7 701,175 0.4X $13.53 23.7X -30.6X 118,167 2,954,175 9,705 242,625 0.1X $8.56 17.7X -53.IX 54,849 1,371,225 3,525 88,125 0.1X $6.46 26.4X -23.7X 13,340 333,500 32.AX 41,825 1,045,625 0.6X $19.32 10.2X 129,204 3,230,100 12A.9B0 3,124,500 1.8X $20.62 25.2X -16.OX 496,849 12,421,225 329,181 8,229,525 4.7X $38.75 25.7X -6.4X 1,280,214 32,005,350 0 0 O.OX $0.00 O.OX -100.OX 611 15,275 26.IX 207,909 5,197,725 3.OX $11.69 -6.8X 796,261 19,906,525 0 0 O.OX $0.00 O.OX -100.OX 33 825 15.AX -66.4X 20,429 3,1A3 78,575 O.OX $10.19 510,725 21,403 535,075 0.3X $7.64 25.IX -22.3X 85,427 2,135,675 1,016 25,400 O.OX $1.81 6.OX -86.2X 12,699 317,475 636,575 25,463 0.4X $7.08 21.2X -36.6X 120,295 3.007,375 23,075 576,875 30.OX -9.4X 77,015 1,925,375 0.3X $5.75 23.3X -41.7X 2,164 54,100 O.OX $8.12 9,291 232,275 18.9X -57.6X 9,353 233.B25 0.1X $22.97 49.551 1,238,775 24.9X 327,288 8,182,200 4.7X $11.78 -5.IX 1,315,644 32,891,100 6,382 159,550 0.1X $6.93 15.2X -63.5X 42,067 1,051,675 37.9X 43.ax 294,397 7,359,925 111,567 2,789,175 1.6X $37.64 20.SX -46.8X 84,767 2,119,175 17,349 433,725 0.2X $16.45 13,507 337,675 0.2X $9.14 16.9X -19.6X 79,766 1,994,150 13,618 340,450 0.2X $12.99 22.3X -34.2X 60,993 1,524,825 5,391 134,775 0.1X $1.83 22.3X -25.9X 24,185 604,625 FAST FOOO SALES TAX 1984(1> 18,853 11,126 2,949 11,253 239,275 25,808 7,794 2,029 38,409 120,580 328,553 0 205,175 0 1,676 18,565 771 26,702 80,928 1,865 6,494 316,714 9,722 69,899 14,640 14,305 16,164 4,747 SALES PERCENT PER PERCENT CHANGE REVENUES OF TOTAL CAPITA OF TOTAL 83(1)T0 SALES SALES YEAR 84(1) TAX 471,325 278,150 73,725 281.32S 5,981,875 645,200 194,850 50,725 960,225 3,014,500 8,213,825 0 5,129,375 0 41,900 464,125 19,275 667,550 2,023,200 46,625 162,350 7,917,850 243,050 1,747,475 366,000 357,625 354,100 118,675 O.SX $11.65 0.2X $6.61 O.OX $1.95 0.2X $7.72 3.6X $21.71 0.4X $12.45 0.1X $6.87 O.OX $3.72 0.6X $17.75 1.8X $19.90 4.9X $38.68 O.OX $0.00 3.IX $11.54 O.OX $0.00 O.OX $5.43 0.3X $6.63 O.OX $1.38 0.43 $7.42 1.2X $20.17 O.OX $7.00 0.1X $15.95 4.7X $11.40 0.1X $10.56 1.0X $23.58 0.2X $13.88 0.2X $9.68 0.2X $13.51 0.1X $1.61 21.2X 19.IX 17.3X 15.OX 22.4X 20.3X 15.2X 17.3X 22.4X 20.BX 20.9X ERR 19.8X O.OX 9.6X 17.6X 4.OX 18.5X 19.7X 16.7X 10.9X 21.3X 16.2X 24.OX 16.8X 17.OX 23. IX 24.IX 122.BX -9.2X -7.1X 149.4X 15.9X 22.9X -12.OX 4.3X 73.8X 46.8X 17.1X ERR 32.3X ERR 44.4X 27.8X -27.4X 22.2X 674.9X 41.IX -13.OX 15.4X 54.8X 50.BX 13.4X -33.9X 16.IX 5.7X FAST SALES FOOO REVENUES SALES TAX 1984(2) 24,331 608,275 15,239 380,975 4,774 119,350 21,740 543,500 286,752 7,168,800 37,402 935,050 14,988 374,700 3,389 84,725 41,616 1,040,400 156,429 3,910,725 405,917 10,147,925 0 0 270,911 6,772,775 81 2,025 5,800 145,000 29,781 744,525 4,806 120,150 41,254 1,031,350 112,609 2,815,225 2,592 64,800 12,548 313,700 39S.051 9,876,275 13,706 342,650 87,289 2,182,225 3,713 592,825 20,320 508,000 15,062 376,550 5,150 128.750 COUNTY FAST SALES PERCENT PERCENT PER TOTAL FOOO REVENUES OF TOTAL CAPITA OF TOTAL CHANGE SALES SALES SALES SALES YEAR S3 TO 04 TAX TAX TAX 1983 1983(4) 33.2% 47,025 14.8% -63.4% 1,881 O.OX S4.70 12,704 - 2 3 . BX 3S7.325 19.7% -26.3% 14,293 0.2% S2.65 72.555 25.8% 142,250 0.1% S2.99 16.5% -58.8% 5,690 34,561 55.8% 64,375 O.OX S8.59 25.1% -35.3% 10,267 2,575 12.4% 95,401 2,385,025 1.4% $15.13 24.0% -18.9% 397,686 -3.7% 117,425 0.1% S3.36 11.2% -69.5% 4,697 41,796 9.5% 982,833 24,570,825 14.0% S24.28 25.6% -9.3% 3,838,870 41.2% 86,875 3,475 O.OX S3.95 18.7% -55.4% 18,615 30.0% 119,075 0.1% S7.24 15.1% -62.9% 31,544 4,763 87.5% 45,650 O.OX S4.63 23.3% -48.2% 7,833 1,826 11.0% 137,250 0.1% $7.25 21.6% -32.1% 5,490 25,382 53.5% 1,666 41,650 O.OX $6.07 17.0% •66.1% 9,790 17.3% 12,600 O.OX $0.84 40.9% 155.8% 504 1,231 24.8% 78,709 1,967,725 1.1% $12.52 24.0% •24.3% 327,874 32.2% 5,292 132,300 0.1% $9.27 21.3% •38.2% 24,821 0.1% $11.00 123.0% 7,203 180,075 22.9% -51.5% 31,497 27.4% 54,098 1,352,450 30.1% 0.8% $5.93 6.1% 179.799 37.1% 40,197 1,004,925 0.6% $7.24 25.6X -21.5% 157,002 -1.4% 32,761 819,025 0.5% $14.60 24.2% -13.6% 135,432 263,100 26.9% 10,524 0.1% $6.45 22.8% -30.6% 46,160 95.1% 14.7% •68.1% 418 10.4S0 O.OX $1.22 2,837 13.7% 22,797 569,925 24.0% -22.9% 94,846 0.3% $8.01 27.3% 68,475 O.OX $1.20 22.8% -30.5% 11,995 2,739 351,150 0.2% $5.26 18.2% -46.6% 77,094 17.6% 14,046 11.6% 144,839 3,620,975 2.1% $13.68 26.2% -3.1% 553,706 -6.3% 4,093,452 15.0% $11.23 25.6% 6.7%1,049,815 26,245,375 36.6% 4,754 118,850 0.1% $4.73 17.6% •51.8% 26,963 3.7X1,942,617 48,565,425 27.7% 23.9% -10.0% 8,114,604 CHANGE 02 TO 03 MISSAUKEE MONROE MONTCALM MONTMOREN MUSKEGON NEUAYGO OAKLAND OCEANA OGEMAW ONTONAGON OSCEOLA OSCODA OTSEGO OTTAWA PRES. IS. ROSCOMMON SAGINAW ST. CLAIR ST.JOSEPH SANILAC SCHCRFT. SH1AWASSE TUSCOLA VAN BUREN WASHTENAW WAYNE WEXFORD OUT/STATE TOTAL SALES REVENUES 1983 317,600 1,813,875 864,025 256,675 9,942,150 1,044,900 95,971,750 465,375 788,600 195,825 634,550 244,750 30,775 8,196,850 620,525 787,425 4,494,975 3,925,050 3,385,800 1.154,000 70,925 2,371,150 299,875 1,927,350 13,842,650 102,336,300 674,075 202,865,100 FAST SALES FOOO REVENUES SALES TAX 1984(1) 1,569 39,225 17,695 442,375 5,926 148,150 2,007 50,175 104,602 2,615,050 3,689 92,225 939,061 23,476,525 1,716 42,900 2,985 74,625 30,300 1,212 6,788 169,700 10,975 439 43,675 1,747 77,642 1,941,050 4,651 116,275 12,812 320,300 34,337 858,425 43,332 1,083,300 33,014 825,350 8,981 224,525 0 0 21,853 546,325 3,101 77.525 8,369 209,225 154,887 3,872,175 1,016,980 25,424,500 134,050 5,362 1,749,143 43,728,575 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(1)T0 SALES SALES YEAR 84(1) TAX O.OX $3.92 0.3% $3.29 0.1% $3.12 O.OX $6.70 1.6% $16.59 0.1% $2.64 14.0% $23.20 O.OX $1.95 O.OX $4.54 O.OX $3.07 0.1% $8.97 0.0% $1.60 O.OX $2.91 1.2% $12.35 0.1% $8.15 0.2% $19.56 0.5% $3.76 0.6% $7.80 0.5% $14.72 0.1% $5.50 0.0% $0.00 0.3% $7.68 O.OX $1.36 0.1% $3.13 2.3% $14.63 15.2% $10.87 0.1% $5.34 26.1% 13.9% 15.0% 18.7% 8.7% 19.8% 18.0% 20.6% 7.4% 12.0% 12.5% 20.0% 4.0% 13.9% 20.3% 18.7% 14.1% 23.3% 20.0% 20.4% 19.4% O.OX 20.3% 17.7% 10.7% 19.0% 21.1% 19.7% 21.3% FAST FOOO SALES TAX 1984(2) -14.5X 3,166 31.7% 29,956 45.4% 10,699 73.2% 5,867 30.7% 140,296 6,905 -35.3% 20.1X1,195,822 -6.7% 6,494 -26.5% 7,355 2,680 103.0% 49.9% 9,728 3,416 ERR 382.6% 3,145 25.4% 102,086 7,159 3.7% 356.8% 21,724 -0.9% 45,020 53.4% 55,006 25.4% 45,396 5.2% 12,210 -100.0% 0 32,4% 28,515 39.9% 5,308 -41.8% 26.214 23.5% 198,274 16.6X1,239,784 4.2% 7,611 -9.5X2,134,812 SALES REVENUES 79,150 748,900 267,475 146,675 3,507,400 172,625 29,895,550 162,350 183,875 67,000 243,200 85,400 78,625 2,552,150 178,975 543,100 1,125,500 1,375,150 1,134,900 305,250 0 712,875 132,700 655,350 4,956,850 30,994,600 190,275 53,370,300 COUNTY CHANGE 02 TO 03 TOTAL CCUNTY/AV FAST SALES FOOO REVENUES SALES TAX 1903(A) 8.7X7,017,411 175,435.275 61,142 1,520,552 PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL CHANGE SALES SALES TEAR 03 TO 04 TAX 100.0X 24.OX S13.70 TOTAL SALES TAX 1983 TOTAL SALES REVENUES 1983 FAST FOOD SALES TAX 1984(1) SALES PERCENT PER PERCENT CHANGE REVENUES OF TOTAL CAPITA OF TOTAL 83(1)TO SALES SALES YEAR 84(1) TAX -11.9X28,207,016 707,175,400 6,697,891 167,447,275 243,041 6,076,028 59,623 1,490,587 100.OX 20.6X $13.36 FAST SALES FOOO REVENUES SALES TAX 1984(2) 12.1X8,542,001 213,550,025 77,195 1,929,876 COUNTY PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(2)TO 84(2) SALES SALES YEAR ALCONA ALGER ALLEGAN ALPENA ANTR1H ARENAC BARAGA BARRY BAY BENZIE BERRIEN BRANCH CALHOUN CASS CHARIVX. CHEBOYGAN CHIPPEUA CLARE CLINTON CRAWFORD DELTA DICKINSON EATON EMMET GENESSE GLADWIN GOGEBIC GR. TRAV. O.OX *6.52 O.OX SI.10 0.3X *7.43 O.SX *23.84 O.OX S3.95 0.2X *34.44 O.OX S10.27 0.1X S2.B2 1.1X *19.14 O.OX *1.99 2.3X *28.07 0.2X *9.42 1.6X *23.94 0.2X *9.65 0.1X *13.81 0.2X *20.57 0.2X *17.29 0.1X *7.40 0.1X *2.55 0.1X *11.36 0.2X *10.52 0.3X *22.93 0.2X *4.52 0.3X *23.98 4.4X *21.10 O.OX *3.60 O.U *15.60 0.6X *23.58 29.IX 38.8X 29.6X 23.9X 23.5X 25.3X 34.2X 37.4X 26.IX 29.BX 26.IX 35.IX 28. IX 31.4X 27.4X 25.4X 26.6X 33.OX 28.6X 27.3X 26.6X 1S.3X 25.6X 26.9X 26.9X 31.OX 34.EX 2S.8X -15.IX 11.5X -1.7X 3S.2X 112.4X -4.5X 8.EX -17.6X 36.4X -3.3X 30.4X 63.2X 25.5X B.9X 0.5X 20.4X 5.6X -27.IX 36.9X -71.5X 19.SX 9.4X -27.6X 43.2X 24.5X -44.5X 28.OX 20.3X FAST FOCO SALES REVENUES SALES TAX 1984(3) 4,405 454 27,131 39,319 3,534 28,515 4,088 5,591 97,508 1,736 218,382 14,697 131,715 21,651 20,747 23,464 23,019 8,431 5,796 6,138 18,982 30,743 14,337 39,879 379,495 3,675 12,271 63,089 110.125 11,350 678,275 982,975 88,350 712,875 102,200 139,775 2,437,700 43,400 5,459,550 367,425 3,292,875 541,275 518,675 586,600 575,475 210,775 144,900 153,450 474,550 768,575 358,425 996,975 9,487,375 91,875 306.775 1,577,225 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(3>T0 SALES SALES YEAR 84(3) O.OX *11.31 O.OX *1.23 0.3X *8.32 0.4X *30.42 O.OX *5.46 0.3X *48.48 O.OX *12.05 0.1X *3.05 1.U *20.33 O.OX *3.87 2.4X *31.88 0.2X *9.14 1.4X *23.26 0.2X *10.94 0.2X S26.0S 0.3X *28.41 O.SX *19.82 O.U *8.85 O.U *2.59 O.U *16.21 0.2X *12.18 0.3X S30.33 0.2X *4.06 0.4X *43.36 4.1X *21.06 O.OX *4.60 O.U *15.58 0.7X *28.73 50.SX 43.3X 33.IX 30.SX 32.SX 35.6X 40.2X 40.SX 27.7X 57.9X 29.6X 34.IX 27.3X 35.6X 51.7X 35. IX 30.5X 39.5X 29.U 39.OX 30.8X 20.3X 23.OX 48.7X 26.8X 39.6X 34.8X 31.4X -1.U -38.5X -13.5X 44.4X 71.3X 10.0X -6.5X -14.IX 30.7X 8.8X 27.8X 18.7X 6.4X 18.IX 7.9X 9.2X 19.4X -36.5X 22.U -38.4X -8.1X 37.SX -33.8X 12.9X 15.2X -28.BX 25.7X 11.4X FAST SALES PERCENT PER PERCENT CHANGE TOTAL FOOO REVENUES OF TOTAL CAPITA OF TOTAL 83(4)Y0 SALES SALES SALES SALES YEAR 84(4) TAX TAX TAX 1984 1984(4) 1,180 29,500 O.OX *3.03 13.5X 22.OX 8,730 0 0 O.OX *0.00 O.OX -100.0X 1,049 17,216 430,400 0.2X *5.28 21.OX -1.5X t \ 002 35,213 880,325 0.4X *27.24 27.3X 67.3X 129,112 2,930 73,250 O.OX *4.52 26.9X 3.5X 10,882 5.IX 18,889 472,225 0.2X *32.11 23.6X 80,161 1,798 44,950 O.OX *5.30 17.7X 69.IX 10,176 1,220 30,500 O.OX *0.67 8.8X -52.3X 13,796 91,148 2,278,700 1.1X *19.01 25.9X 35.5X 351,396 368 9,200 O.OX *0.82 12.3X ERR 2,997 185,441 4,636,025 2.3X *27.07 25.IX 35.5X 737,816 186,675 7,467 17.3X 23.6X O.U *4.65 43,151 117,165 2,929,125 1.4X *20.69 24.3X 13.7X 483,100 7,326 1B3.1S0 O.U *3.70 12.OX -38.5X 60,866 3,664 91,600 O.OX *4.60 9.IX -Z3.9X 40,165 14,753 368,825 0.2X *17.86 22.IX 17.U 66,873 13,779 0.2X *11.87 344,475 18.3X -16.U 75,461 3,202 80,050 O.OX *3.36 15.OX -8.4X 21,351 3,880 97,000 O.OX *1.74 19.5X 16.6X 19.916 2,033 O.OX *5.37 50,825 12.9X -43.9X 15,732 14,819 24.IX 5.9X 370,475 0.2X *9.51 61,563 82,970 2,074,250 S4.8X 319.3X 151,445 1.0X *81.85 17,134 428,350 0.2X *4.85 27.4X -0.9X 62,439 248,400 O.U *10.80 9,936 12.U -0.6X 81,925 345,477 8,636,925 4.3X *19.17 24.4X 15.2X 1,414,849 1,057 26,425 O.OX *1.32 11.4X -71.9X 9,271 2,381 6.7X -71.5X 59,525 O.OX *3.02 35,310 S.3X 200.946 46,144 1,153,600 0.6X *21.01 23.OX TOTAL SALES REVENUES 1984 218,250 26,225 2,050,050 3,227,800 272,050 2,004,025 254,400 344,900 8,784,900 74,925 18,445,400 1,078,775 12,077,500 1,521,650 1,004,125 1,671,825 1,886,525 533,775 497,900 393,300 1,539,075 3,786,125 1,560,975 2,048,125 35,371,225 231,775 882,750 3,023,650 COUNTY PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(2)T0 SALES SALES YEAR 84(2) GRATOIT HILLSOALE HOUGHTON HURON INGHAN IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEEHAU LAKE LAPEER LEELANAU LENAUEE LIV. LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE MIDLAND 0.3X S15.04 0.2X S9.06 0.1X S3.15 0.3X SH.91 3.AX $26.02 O.AX S18.05 0.2X $13.22 O.OX $6.21 O.SX $19.23 1.8X $25.81 A.BX $47.78 O.OX $0.00 3.2X $15.24 O.OX $1.03 0.1X $18.80 0.3X $10.63 0.1X $8.58 0.5X $11.A7 1.3X $28.07 O.OX $9.73 C.1X $30.82 A.6X $14.22 0.2X $14.89 1.0X $29.45 0.3X $22.49 0.2X $13.74 0.2X $14.37 O.U $1.75 27.4X 26.2X 28.OX 29.0X 26.BX 29.5X 29.2X 29.OX 24.3X 27.OX 25.9X ERR 26.IX 26.9X 33.3X 28.3X 25.2X 28.6X 27.4X 23.2X 21.OX 26.5X 22.8X 29.9X 27.U 24.IX 24.6X 26.U 60.9X -3.3X -37.U 52. K 13.2X 30.3X -3.8X 4.3X 52.3X 10.9X 27.3X -100.0X 32.OX 8000.OX -14.3X 35.6X 47.9X 2S.7X 524.2X 23.ax 17.8X 7.1X 14.8X 48.3X 8.3X -26.9X 4.OX -26.7X FAST SALES PERCENT PER PERCENT CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL 83(3)T0 SALES SALES SALES YEAR 84(3) TAX 1984(3) 0.3X $15.21 24,612 615,300 27.7X 39.7X 17,617 440,425 0.2X $10.47 30.3X 11.2X 6,402 160,050 O.U $4.23 37.5X -28.9% 32.IX 24.5X 24,074 601,850 0.3X $16.51 25.ZX 268,869 6,721,725 2.9X $24.40 7.IX 914.650 O.AX $17.65 28.8X -9.5X 36,586 476,600 19,064 0.2X $16.81 37.IX -8.0X 3,883 97,075 O.OX $7.12 33.2X •16.OX 45,989 1,149,725 O.SX $21.25 26.9X 21.2X 159,213 3,980,325 1.7X $26.27 27.5X 7.0X 438,089 10,952,225 A.BX $51.57 27.9X 24.6X 0 0 O.OX $0.00 ERR -100.0X 291,884 7,297,100 3.2X $16.42 28.2X 28.OX 4,125 O.OX $2.10 54.8X 41S.6X 165 6,939 173,475 O.U $22.50 39.8X -25.9X 32,091 802,275 0.3X $11.45 30.5X 16.6X 11,245 281,125 O.U $20.07 58.9X 52.6X 0.5X $12.02 43,249 1,081,225 29.9X 7.7X 118,949 2,973,725 1.3X $29.65 28.9X 367.3X 4,127 103,175 O.OX $15.49 37.0X 11.2X 28,590 714,750 0.3X $70.22 47.8X 29.5X 27.OX 16.5X 401,803 10,045,075 4.4X $14.46 649,475 0.3X $28.21 43.3X 48.7X 25,979 1.2X $35.70 36.3X 36.4X 105,825 2,645,625 0.3X $29.54 35.7X -4.5X 31,151 778,775 647,800 30.BX 54.2X 25,912 0.3X $17.53 0.2X $16.33 27.9X -17.3X 17,118 427,950 5,149 128,725 O.U $1.75 26.IX -29.3X FAST SALES FOOO REVENUES SALES TAX 1984(4) 20,991 524,775 14,234 355,850 2,930 73,250 18,021 450,525 273,797 6,844,925 27,104 677,600 9,480 237,000 2,405 60,125 45,247 1,131,175 143,202 3,580,050 397,617 9,940,425 0 0 268,051 6,701,275 55 1,375 3,018 75,450 24,918 622,950 2,261 56,525 33,276 831,900 98,915 2,472,875 2,573 64,325 12,151 303,775 374,872 9,371,800 10,637 265,925 28,807 720,175 17,841 446,025 23,674 591,850 14,908 372,700 4,649 116,225 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(4)TO SALES SALES YEAR 84(4) TAX 0.3X $12.97 0.2X $8.46 O.OX $1.93 0.2X $12.36 3.4X $24.84 O.SX $13.08 O.U $8.36 O.OX $4.41 0.6X $20.91 1.6X $23.63 4.9X $46.81 O.OX $0.00 3.3X $15.08 O.OX $0.70 O.OX $9.78 O.SX $8.89 O.OX $4.04 O.AX $9.25 1.2X $24.66 O.OX $9.66 O.U $29.85 4.6X $13.49 O.U $11.55 O.AX $9.72 0.2X $16.92 O.SX $16.01 0.2X $14.22 O.U $1.58 23.6X 24.SX 17.2X 24.OX 25.6X 21.4X 18.SX 20.SX 26.4X 24.7X 25.3X ERR 25.9X 18.3X 17.3X 23.7X 11.8X 23.OX 24.OX 23.U 20.3X 25.2X 17.7X 9.9X 20.4X 28.1X 24.3X 23.6X -4.7X 23.4X -41.2X 4S.9X 7.IX -3.4X -2.3X -31.8X 8.2X 14.6X 20.8X ERR 28.9X ERR -4.0X 16.4X 122.5X 30.7X 328.7X 18.9X 29.9X 14.SX 66.7X -74.2X 2.SX 75.3X O.SX -13.8X TOTAL SALES TAX 1984 88,787 58,216 17,055 75,088 1,068,693 126,900 SI,326 11,706 171,261 579,424 1,570,176 0 1,036,021 301 17,433 105,355 19,083 144,481 411,401 11,157 59,783 1,488,440 60,044 291,820 87,345 84,211 61,252 19,695 TOTAL SALES REVENUES 1984 2,219,675 1,455,400 426,375 1,877,200 26,717,325 3,172,500 1,283,150 292,650 4,281,525 14,485,600 39,254,400 0 25,900,525 7,525 435,825 2,633,875 477,075 3,612,025 10,285,025 278,925 1,494,575 37,211,000 1,501,100 7,295,500 2,183,625 2,105,275 1,531,300 492,375 « if COUNTY FAST SALES PERCENT PER PERCENT CHANGE FAST SALES PERCENT PER PERCENT CHANGE TOTAL TOTAL FOOO REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO FOOO REVENUES OF TOTAL CAPITA OF TOTAL 83(4)T0 SALES SALES SALES SALES SALES YEAR 84(3) SALES SALES SALES YEAR 84(4) TAX REVENUES TAX TAX TAX 1984 1984 1984(3) 1984(4) 4,526 -17.8X 113,150 O.OX $11.30 2,000 40.2X -11.8X 50,000 O.OX $5.00 17.8X 6.3X 11,261 281,525 775,500 17.8X 31,020 0.3X $5.76 26.2X 60.OX 39,669 991,725 O.SX $7.36 33.SX 177.5X 118,340 2,958,500 -2.6X 10,716 267,900 O.U $5.63 33.7X -22.4X 4,413 110,325 13.9X -22.4X O.U $2.32 31,754 793,850 9,102 129.7X 227,550 O.U $30.37 6,071 39.5X 128.8X 151,775 26.3X 135.ax O.U $20.26 23,047 576,175 34.U 156,333 3,908,325 1.7X $24.80 29.6X 32.9X 127,093 3,177,325 1.6X $20.16 24.IX 33.2X 528,324 13,208,100 7,021 -56.8X 175,525 O.U $5.03 2,897 34.2X -54.4X 72,425 O.OX $2.07 14.IX -38.3X 20,512 512,800 20.8X1.269,665 31,741,625 13.8X $31.37 27.8X 17.2X1,159,973 28,999,325 25.4X 18.OX 4,564,521 114,113,025 14.3X $28.66 313,450 17.8X 12,538 O.U $14.25 53.8X 61 .OX 2,546 63,650 O.OX $2.89 10.9X -26.7X 23,294 582,350 9,569 -25.6X 239,225 O.U $14.55 4,913 3.1X 38.6X -25.5X 122,825 19.8X O.U $7.47 24,822 620,550 3,797 42.4X 94,925 O.OX $9.63 7.6X 39.IX 2,028 50,700 20.9X 11.IX O.OX $5.14 9,717 242,925 33.6X 10,436 260,900 O.U $13.78 30.7X 29.IX 7,015 20.7X 27.8X 175,375 O.U $9.27 33,967 849,175 5,217 6.6X 130,425 O.U $19.02 6.U 2,035 47.OX 50,875 O.OX $7.42 18.3X 22.U 11,107 277,675 4,318 107,950 1772.OX O.OX $7.20 34.3X 2091.9X 3,374 84,350 O.OX $5.63 26 . ex 569.4X 12,584 314,600 9. IX 88,784 2,219,600 22.6X 113,479 2,836.975 1.2X $18.05 29.7X 1.1X $14.12 23.2X 12.8X 381,991 9,549,775 8,870 221,750 3.6X 4,222 10.5X O.U $15.54 35.6X 105,550 17.OX •20.2X O.U $7.40 24,902 622,550 226.6X 34,687 867,175 0.4X $52.96 38.U 133.8X 21,789 544,725 0.3X $33.27 23.9X 202.5X 91,012 2,275,300 12.SX 42,668 1,066,700 29.OX -16.3X 25,158 0.5X $4.68 628,950 17.1X •S3.5X 147,183 3,679,575 0.3X $2.76 47.3X 62,039 1,550,975 0.7X $11.17 28.6X 21.2X 56,681 1,417,025 0.7X $10.21 26.IX 41 .OX 217,058 5,426,450 18.1X 48,146 1,203,650 0.5X $21.46 29.7X 27.OX 35,323 883,075 21.8X 7.6X 161,879 4,046,975 0.4X $15.75 356,975 2.2X 14,279 0.2X $8.75 30.BX -5.8X 10,867 271,675 O.U $6.66 23.5X S.SX 46,337 1,158,425 178 4,450 0 -ICO.OX O.OX $0.52 100.0X -86.4X 0 O.OX $0.00 O.OX -100.0X 178 4,450 9.7X 29,459 736,475 0.3X $10.35 25.8X 21.6X 107,537 2,688,425 692,750 O.SX $9.74 27.4X -0.3X 27,710 5,412 135,300 3,685 71.4X O.U $2.38 30.9X 37.3X 92,125 21.OX 34.5X O.OX $1.62 17,506 437,650 749,925 0.3X $11.22 17.2X 29,997 38.5X 14.OX 13,339 333,475 0.2X $4.99 17.IX -S.OX 77,919 1,947,975 27.6X 50.6X 238,169 5,954,225 29.2X 64.4X 816,410 20,410,253 48.OX 225,080 5,627,000 2.5X $21.25 2.9X $22.49 18.0X1,,343,914 33,597,850 14.6X $14.37 27.8X 19.9X1,228,666 30,716,650 15.IX $13.14 25.4X 17.0X 4,829,344 120,733,600 8,222 6,086 s.sx 205,550 O.U $8.19 30.1X -16.6X 152,150 O.U $6.06 22.3X 28.OX 27,281 682,025 2.5X2,236,511 55,912,775 24.4X 27.3X 3.6X2,073,593 51,839,825 2S.3X 6.7X 8,194,059 204,851,475 25.5X PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(2)10 SALES SALES YEAR 84(2) MISSAUKEE MONROE MONTCALM MOHTHOREN MUSKEGON NEUAYGO OAKLAND OCEANA OGEMAU ONTONAGON OSCEOLA OSCODA OTSEGO OTTAWA PRES. IS. ROSCOMMON SAGINAW ST. CLAIR ST.JOSEPH SANILAC SCHCRFT. SHIAWASSE TUSCOLA VAN SUREN WASHTENAW WAYNE WEXFORD OUT/STATE O.OX $7.91 O.AX SS.56 O.IX $5.62 0.1X S19.58 1.6X $22.26 O.U $4.94 14.OX $29.55 O.U $7.38 O.U S11.19 O.OX $6.79 O.U $12.85 O.OX $12.45 O.OX $5.24 1.2X $16.24 O.U $12.54 0.3X $33.17 0.5X $4.94 0.6X $9.91 0.5X $20.24 O.U $7.48 O.OX $0.00 0.3X $10.02 O.U $2.33 0.3X $9.81 2.3X $18.72 14.5X $13.26 O.U $7.58 25.OX 28.U 25.3X 33.7X 25.5X 26.6X 33.7X 26.2X 27.9X 29.6X 27.6X 2B.6X 30.8X 25.OX 26.7X 28.7X 23.9X 30.6X 25.3X 28.OX 26.4X O.OX 26.5X 30.3X 33.6X 24.3X 25.7X 27.9X 26.IX COUNTY PERCENT PER PERCENT CHANGE OF TOTALCAPITA OF TOTAL 83(Z)TO SALES SALES YEAR 84(2) TOTAL COUNTY/AV 100.0X 26.2% S17.29 FAST SALES FOOO REVENUES SALES TAX 1984(3) 16.6X9,180,563 229,514,125 83,663 2,091,583 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL S3(3)TO SALES SALES YEAR 84(3) 100.0% 28.2% S18.74 FAST SALES FOOO REVENUES SALES TAX 1984(4) 15.2X8,122,323 203,058,075 72,876 1,821,907 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL S3(4)TO SALES SALES YEAR 84(4) TAX 100.0% 25.0% S16.33 TOTAL SALES TAX 1984 TOTAL SALES REVENUES 1984 15.7X32,542,780 813,569,500 293,358 7,333,952 FAST SALES PERCENT CHANGE PERCENT PER FOOO REVENUES OF TOTAL CAPITA OF TOTAL 84(1>T0 SALES SALES YEAR 85(1) SALES TAX TAX 1965(1) 5*2 O.OX $1.39 ALCONA 13,550 7.4X •10.3X 187 O.OX $0.51 1B.5X -0.5X ALGER 4,675 18,368 459,200 0.2X $5.63 17.7X 37.OX ALLEGAN 20 . ax ALPENA 31,248 781,200 0.4X S24.17 31.5X 2,585 O.OX $3.99 ANTRIM 64,625 19.9X 39.2X 12,807 0.2X $21.77 ARENAC 320,175 15.7X 2.5X 1,354 33,850 O.OX $3.99 11.BX 68.OX BARAGA 1,798 BARRY 44,950 O.OX $0.98 8.7X -1.6X 79,961 1,999,025 1.0X $16.68 BAY 20.2X 12.7X BENZIE 341 8,525 O.OX $0.76 8.8X ERR 189,614 4,740,350 BERRIEN 2.5X $27.68 19.7X 33.8X 8,689 217,225 BRANCH 0.1X $5.41 17.IX 48.ex 108,415 2,710,375 1.4X $19.15 CALHOUN 21.4X 9.9X 12,437 310,925 0.2X $6.28 CASS 19.9X -2.6X 5,600 140,000 CHARLVX. 0.1X $7.03 12.9X 17.7X 353,800 14.JX 21 .IX CHEBOYGAN 14,152 0.2X $17.13 0.3X $19.01 CHIPPEWA 22,073 551,825 19.3X 18.7X 3,109 O.OX $3.26 CLARE 77,725 13.IX 16.7X 3,855 CLINTON 96,375 0.1X $1.72 18.6X -15.IX 1,602 40,050 O.OX $4.23 10.9X -50.9X CRAWFORD 0.2X $8.63 DELTA 13,448 336,200 19.OX 18.2X DICKINSON 72,931 1,823,275 0.9X $71.95 20.8X 403.4X EATON 16,267 406,675 0.2X $4.60 10.5X S.SX EMMET 10,244 256,100 0.1X $11.14 12.8X 1.9X 359,025 8,975,625 4.7X $19.93 21.9X 15.9X GENESSE 1,033 O.OX $1.29 12.6X -37.9X GLADWIN 25,825 2,752 O.OX $3.49 GOGEBIC 68,800 15.6X -67.IX 18.IX 1S.0X 0.6X $20.91 GR. TRAV. 45,921 1,148,025 COUNTY FAST SALES PERCENT PER PERCENT CHANGE FOOD REVENUES OF TOTAL CAPITA OF TOTAL B4(2)TO SALES SALES SALES YEAR 85(2) TAX TAX 1985(2) 2,513 62,825 O.OX $6.45 34.5X -1.1X 276 6,900 O.OX $0.75 27.2X •32.2X 31,402 785,050 0.3X $9.63 30.3X 29.SX 34,741 868,525 0.4X $26.88 23.IX 12.7X 3,310 82,750 O.OX $5.11 25.SX 29.2X 21,546 538,650 0.2X $36.63 26.4X 6.3X 4,306 107.650 O.OX $12.69 37.6X 23.6X 7,857 196,425 0.1X $4.29 38.IX 52.4X 106,682 2,667,050 1.1X $22.25 26.9X 16.2X 909 22,725 O.OX $2.03 23.6X 1.8X 253,035 6,325,875 2.6X $36.93 26.4X 31.6X 18,548 463,700 0.2X $11.54 36.4X 22.5X 136,555 3,413,875 1.4X $24.12 27.OX O.SX 18,918 472,950 0.2X $9.55 30.3X -1.0X 12,644 316,100 0.1X $15.88 29.2X 1S.0X 18,020 450,500 0.2X $21.82 18.2X 6.IX 28,220 705,500 0.3X $24.30 24.7X 40.6X 8,426 210,650 0.1X $8.84 3S.6X 19.SX 5,530 0.1X $2.47 138,250 26.7X -3.0X 4,230 105,750 O.OX $11.17 28.8X -1.6X 19,182 479,550 0.2X $12.31 27.IX 17.1X 92,279 2,306,975 0.9X $91.04 26.4X 297.OX 21.8X 110.SX 33,628 840,700 0.3X $9.52 19,907 497,675 0.2X $21.65 24.9X -9.7X 433,061 10,826,525 4.4X $24.03 26.4X 13.9X 2,500 62,500 O.OX $3.13 30.4X •13.OX 5,303 132,575 C.1X $6.73 30.OX -56.8X 0.7X $29.26 64,246 1,606,150 25.3X 24.1X FAST SALES PERCENT PER PERCENT CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL 84(3)T0 SALES SALES SALES YEAR 85(3) TAX TAX 1985(3) 4,049 O.OX S1G.39 101,225 55.5X -8.IX 344 8,600 O.OX $0.93 34.OX -24.2X 34,025 850,625 0.3X $10.43 32.9X 25.4X 43,005 1,075,125 0.4X $33.27 9.4X 2B.6X 4,492 112,300 O.OX $6.93 34.7X 27.IX 27,884 697,100 0.3X $47.40 34.2X -2.2X 3,917 97,925 O.OX $11.54 34.2X -4.2X 8,766 219,150 0.1X $4.79 42.5X 56.8X 111,418 2,7B5,450 1.1X $23.24 28.IX 14.3X 2,142 53,550 O.OX $4.78 55.SX 23.4X 281,652 7,041,300 2.7X $41.11 29.3X 29.0X 15,598 389,950 0.2X $9.70 30.6X 6. IX 140,939 3,523,475 1.4X $24.89 7.0X 27.8X 18,731 0.2X $9.46 468,275 30.OX -13.5X 19,923 498,075 0.2X $25.02 46.OX -4.0X 44,361 1,109,025 0.4X $53.71 44.7X 89.1X 31,918 797,950 0.3X $27.49 28.OX 38.7X 8,486 212,150 0.1X $8.91 0.7X 35.8X 6,078 0.1X $2.72 151,950 29.3X 4.9X 6,371 159,275 0.1X $16.83 43.3X S.SX 22,332 558,300 31.5X 17.6X 0.2X $14.33 102,768 2,569,200 1.0XS101.39 29.4X 234.3X 54,047 1,351,175 0.5X $15.30 35.OX 277.0X 39,519 987,975 0.4X $42.97 49.5X -0.9X 442,984 11,074,600 27.OX 16.7X 4.3X $24.59 3,057 76,425 O.OX $3.83 37.2X •16.8X 6,152 153,800 0.1X $7.81 34.8X -49.9X 84,308 2,107,700 0.8X $38.39 33.2X 33.6X is GRATOIT HILLSDALE HOUGHTON HURON INGHAM IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEENAU LAKE LAPEER LEELANAU LENAUEE LIV. LUCE MACKINAC MACOMB MANISTEE MAROUETTE MASON MECOSTA MENOMINEE HIDLANO FAST SALES PERCENT PER PERCENT CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL 840)10 SALES SALES SALES YEAR 85(1) TAX TAX 1985(1) 19,341 0.3X S11.95 2.6X 483,525 19.9X 13,073 0.2X S7.77 326,825 19.4X 17.5X 360,500 0.2X S9.52 14,420 19.4X 389.OX 11,107 277,675 0.1X $7.62 16.8X -1.3X 259,863 6,496,575 8.6X 3.4X S23.5B 24.7X 23,580 589,500 0.3X $11.38 19.7X -8.6X 8.630 215,750 0.1X S7.61 16.2X 10.7X 1,754 43.8S0 O.OX S3.22 14.IX ■13.6X 47,529 1,188,225 0.6X $21.96 21.6X 23.7X 125,755 3,143,875 4.3X 1.6X $20.75 20.8X 370,618 9,265,450 4.8X S43.63 22.OX 12.BX 0 0 O.OX SO.OO ERR ERR 251,538 6,288,450 3.3X S14.15 19.7X 22.6X 0 0 O.OX SO.OO ERR O.OX 6,382 159,550 0.1X $20.69 16.8X 280.8X 21,903 0.3X $7.82 547,575 19.4X 18.OX 2,527 O.OX $4.51 63,175 9.OX 227.8X 30,939 0.4X $8.60 773,475 18.OX 15.9X 90,706 2,267,650 1.2X $22.61 19.7X 12.IX 2,084 52,100 O.OX $7.82 18.OX 11.7X 12,105 302,625 0.2X $29.73 19.3X 86.4X 313,865 7,846,625 4.IX $11.30 21.SX 8,627 0.1X $9.37 215,675 14.OX -11.3X 23,577 589,425 0.3X $7.95 IB.OX -66.3X 13,022 325,550 0.2X $12.35 15.5X -11.IX 19,336 483,400 0.3X $13.08 17.1X 35.2X 2,539 O.OX $2.42 6.8X -82.IX 63,475 21. ax 114.8X 10,197 0.1X $3.46 254,925 o COUNTY FAST SALES PERCENT PER PERCENT CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL 84(2)TO SALES SALES SALES YEAR 85(2) TAX TAX 1985(2) 670,800 26,832 0.3X $16.58 27.6X 10.3X 19,398 484,950 28.9X 27.3X 0.2X $11.53 480,225 19,209 0.2X $12.68 25.9X 302.4X 19,528 488,200 0.2X $13.39 29.5X -10.2X 297,282 7,432,050 3.OX $26.97 28.2X 3.7X 817,875 32,715 0.3X $15.78 27.4X -12.5X 16,593 414,825 0.2X $14.63 31.2X 10.7X 3,449 86,225 27.8X O.OX $6.32 1.8X 52,136 1,303,400 0.5X $24.09 23.7X 25.3X 165,648 4,141,200 1.7X $27.34 27.SX 5.9X 436,667 10,916,675 4.5X $51.40 25.9X 7.6X 0 0 O.OX $0.00 ERR ERR 326,914 8,172,850 3.3X $18.39 25.6X 20.7X 67 1,675 27.IX -17.3X O.OX $0.85 12,788 319,700 0.1X $41.46 33.6X 120.5X 30,791 769,775 27.2X 0.3X $10.99 3.4X 6,574 164,350 23.5X 36.ex 0.1X $11.73 29.9X 24.6X 51,402 1,285,050 0.5X $14.29 124,395 3,109,875 1.3X $31.01 27.OX 10.5X 2,979 74,475 O.OX $11.18 25.7X 14.9X 21,660 541,500 34.6X 72.6X 0.2X $53.20 389,695 9,742,375 26.7X -1.4X 4.OX $14.03 17,347 433,675 0.2X $18.84 28.IX 26.6X 828,400 25.2X -62.OX 33,136 O.SX $11.18 612,825 3.4X 24,513 0.3X $23.24 29.2X 26,978 674,450 23.9X 32.8X 0.3X $18.25 3,444 86,100 9.2X -77.IX O.OX $3.29 12,764 319,100 27.3X 147.8X 0.1X $4.34 SALES FAST PERCENT PER PERCENT CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL 84(3)T0 SALES SALES SALES YEAR 85(3) TAX TAX 1985(3) 27,390 684,750 0.3X $16.93 28.2X 11.3X 19,443 486,075 0.2X $11.55 28.9X 10.4X 21,429 535,725 0.2X $14.15 28.9X 234.7X 21,913 0.2X $15.03 547,825 33.IX -9.0X 249,795 6,244,875 2.4X $22.67 23.7X -7.IX 35,945 898,625 0.3X $17.34 30. IX -1.8X 18,968 474,200 0.2X $16.73 35.7X -0.5X 124,275 4,971 O.OX $9.11 40.OX 28.OX 55,763 1,394,075 0.5X $25.76 25.4X 21.3X 167,310 4,182,750 1.6X $27.61 27.7X 5.IX 448,277 11,206,925 4.3X $52.77 26.6X 2.3X 0 0 O.OX $0.00 ERR ERR 373,589 9,339,725 3.6X $21.01 29.3X 28.OX 144 3,600 O.OX $1.83 58.3X -12.7X 16,470 0.2X $53.40 43.SX 137.4X 411,750 33,757 843,925 0.3X $12.05 29.9X 5.2X 15,219 0.1X $27.16 380,475 54.3X 35.3X 53,117 1,327,925 0.5X $14.76 30.9X 22.8X 130,474 3,261,850 1.3X $32.52 28.3X 9.7X 4,005 100,125 O.OX $15.04 34.6X -3.0X 20,479 511.975 0.2X $50.30 32.7X -28.4X 388,943 9,723,575 3.8X $14.00 26.6X -3.2X 24,546 613,650 0.2X $26.66 39.8X -5.5X 40,332 1,008,300 0.4X $13.61 30.7X -61.9X 30,016 750,400 O.SX $28.46 35.7X -3.6X 720,275 0.3X $19.49 28,811 25.5X 11.2% 16,009 400,225 42.7X -6.5X 0.2X $15.28 12,861 321,525 0.1X $4.37 27.5X 149.8% COUNTY PERCENT PER FAST SALES PERCENT PER PERCENT CHANGE FAST SALES PERCENT CHANGE FAST SALES FOOO REVENUES OF TOTAL CAPITA OF TOTAL 86(1>T0 FOOO REVENUES OF TOTAL CAPITA OF TOTAL 86(2)TO FOOO REVENUES 85(1) SALES SALES SALES YEAR SALES SALES SALES YEAR 85(2) SALES TAX TAX TAX TAX TAX 1983(1) 1985(2) 1985(3) MISSAUKEE 1,662 36,550 O.OX S3.65 11.9X •6.8X 3,716 O.OX S9.28 30.6X 17.6X 92,900 6,788 119,700 MONROE 21,966 0.3X S6.08 18.IX 26.IX 36,398 569,150 0.6X S6.76 30.OX 21.5X 909,950 3S.572 889,300 101,600 0.1X $2.13 0.1X SS.72 MONTCALM 6,056 13.9X -31.6X 10,890 37.6X 1.BX 272,250 11,186 279,650 0.1X S13.95 MONTMOREN 6,181 106,525 16.7X 108.3X 7,261 0.1X $26.16 25.6X 23.6X 181,025 10,326 2S8.150 1.3X S15.82 MUSKEGON 99,762 2,693,550 23.9X -6.6X 136,361 3,6G9,025 1.6X $21.63 32.7X -2.6X 101,175 2,529,375 NEUAYGO O.OX SI.76 10.3X •36.2X 0.1X $5.70 2,627 60,675 7,959 198,975 33.8X 15.3X 8,608 215,200 16.6X $27.37 20.6X 17.9X1,,666,125 36,153,125 OAKLAND 1,107,608 27,690,200 16.8X $35.73 26.7X 20.9X 1,507,879 37,696,975 O.OX SI .97 7.8X 0.9X OCEANA 1,732 63,300 7,289 O.U $8.28 32.9X 12.2X 182,225 11,271 281,775 87,300 O.OX S5.31 OGEMAW 3,692 13.8X 17.0X 7,636 185,900 0.1X $11.31 29.3X 1.1X 9,503 237,575 O.OX S3.37 9.6X ONTONAGON 1,329 33,225 9.7X 7,676 186,900 0.1X $18.95 56.OX 179.OX 3,255 81,375 OSCEOLA 6,097 152,625 0.1X S8.05 15.2X -10.2X 11,537 0.1X $15.26 28.7X 18.6X 288,625 12,690 322,250 OSCOOA O.OX SI.89 3.OX 18.OX 518 12,950 6,967 123,675 O.U $18.03 28.6X 66.8X 7,655 191,375 0.1X $6.87 16.SX 135.9X OTSEGO 6,122 103,050 6,723 168,075 O.U $11.21 23.6X 113.ex 8,132 203,300 17.3X -62.5X 75,817 1,895,625 OTTAWA 66,650 1,116,250 0.6X S7.10 0.8X $12.06 29.6X -25.7X 88,673 2,211,825 O.OX $0.33 O.OX $1.66 PRES. IS. 187 6,675 6.6X -96.OX 967 23,675 33.3X -86.ex 1,366 33,650 ROSCOMMON 16,078 0.2X $26.55 16.3X 25.5X 28,986 601,950 726,600 0.3X $66.25 25.8X 33.6X 63,137 1,078,625 0.6X $6.07 SAGINAW 28,621 710,525 0.6X S3.12 20.7X -17.2X 37,133 27.IX -17.5X 38,273 956,825 928,325 0.8X $10.66 O.SX $13.61 25.3X 37.6X ST. CLAIR 58,061 1,651,525 19.6X 36.OX 75,566 1,889,100 92,016 2,300,600 ST.JOSEPH 20,027 0.3X $8.93 18.5X -39.3X 30,970 776,250 0.3X $13.81 28.6X -31.8X 500,675 32,655 811,375 SANILAC 10,070 251,750 0.1X S6.17 19.IX 12.IX 16,370 359,250 0.1X $8.81 27.2X 17.7X 15,665 386,625 SCHCRFT. 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 590,700 0.3X $8.30 21.6X 8.IX 31,809 0.3X $11.18 28.8X 11.6X SHIAWASSE 23,628 795,225 29,559 738,975 O.U $5.16 TUSCOLA 7,600 185,000 0.1X S3.25 17.5X 138.6X 11,718 292,950 27.7X 120.8X 13,362 333,550 232,300 0.1X S3.68 0.3X $11.16 VAN SUREN 9,292 10.6X 11.OX 29,766 766,150 36.OX 13.6X 36,662 866,550 2.9X $21.09 WASHTENAW 223,386 5,586,600 21.OX 66.2X 260,568 6,516,200 2.7X $26.61 26.5X 31.6X 268,352 6,708,800 15.U $15.81 WAYNE 1,260,838 31,520,950 16.6X $13.68 22.6X 26.0X1,678,363 36,959,075 26.2X 19.2X 1,512,162 37,803,550 0.1X $7.32 WEXFORD 5,392 136,800 0.1X S5.37 18.6X 0.6X 7,351 183,775 2S.6X -3.6X 9,250 231,250 26.8X 0UT/STATE1,966,679 69,166,975 25.6X 20.9X 12.6X2,626,615 60,665,375 25.8X 13.7X 2,570,966 66,273,650 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL B6(3)TO SALES SALES YEAR 85(3) TAX O.OX $11.96 0.3X $6.60 O.U $5.88 O.U $36.66 1.0X $16.05 0.1X $6.16 16.6X $37.26 O.U $12.81 O.U $16.65 O.OX $8.25 O.U $17.03 O.U $27.91 O.U $13.56 0.9X $16.07 O.OX $2.36 0.6X $65.86 0.6X $6.20 0.9X $16.57 0.3X $16.67 O.U $9.68 O.OX $0.00 0.3X $10.39 O.U $5.86 0.3X $12.97 2.6X $25.36 16.7X $16.17 O.U $9.21 26.9X 39.IX 29.3X 38.6X 36.3X 26.2X 36.6X 27.8X 50.SX 37.6X 23.5X 32.IX 66.2X 28.6X 36.3X 67.3X 38.6X 27.9X so.ex 30.OX 29.3X ERR 26.8X 31 .SX 39.SX 2S.2X 26.8X 31.9X 27.6X S.SX 16.7X 6.6X 13.6X -35.3X 22.6X 18.8X -10.1X -0.7X •16.3X 23.5X 66.7X 88.3X -22.OX •86.8X 26.6X -10.3X 68.3X -32.6X S.SX -100.0X 0.3X 166.5X 15.6X 19.2X 12.5X 12.5X 15.OX COUNTY FAST SALES FOOO REVENUES SALES TAX PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 84(1)TO SALES SALES YEAR 05(1) TAX 1985(1> TOTAL 68,814 FOOO SALES REVENUES SALES TAX PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 84(2)TO SALES SALES YEAR 05(2) TAX 1905(2) 7,678,214 191,955,350 COUNTY/AV FAST 1,720,342 100.0X 20.OX S15.42 FOOO SALES REVENUES SALES TAX PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 84(3)T0 SALES SALES YEAR 85(3) TAX 1905(3) 14.6X9,766,751 2U.168.775 08,435 FAST 2,210,884 100.OX 26.4X S19.81 14.3X10,310,900 257,772,500 93,252 2,331,311 100.0X 27.9X $20.89 12.JX COUNIT FAST SALES PERCENT PER PERCENT CHANGE TOTAL FOOO REVENUES OF TOTAL CAPITA OF TOTAL 83(4)TO SALES SALES SALES SALES YEAR 85(4) TAX TAX TAX 1985 1985(4) ALCONA T87 4,675 2.6X -84.2X 7,291 O.OX SO.48 5,150 ALGER 206 O.OX SO.56 20.3X ERR 1,013 ALLEGAN 19.744 493,600 0.2X S6.05 19.IX 14.7X 103,539 ALPENA 41,496 1,037,400 0.5X S32.10 27.6X 17.8X 150,490 ANTRIM 2,572 64,300 O.OX S3.97 19.8X -12.2X 12,959 ARENAC 19,305 482,625 0.2X S32.62 23.7X 2.2X 81,542 1,867 BARAGA 46,675 O.OX SS.50 3.8X 11,444 16.3X BARRY 2,215 55,375 O.OX SI.21 20,636 10.7X 81.6X 98,199 2,454,975 BAT 1.1X $20.48 24.8X 7.7X 396,260 BENZIE 12.IX 26.6X 466 11,650 O.OX SI.04 3,858 235,911 5,897,775 BERRIEN 2.6X S34.43 24.6X 27.2X 960,212 8,056 7.9X 50,891 BRANCH 201,400 0.1X SS.01 1S.8X 120, i91 3,004,775 1.3X S21.23 23.7X 2.6X 506,100 CALHOUN 12,396 309,900 C.1X S6.26 62,482 CASS 19.8X 69.2X CHARLVX. 5,100 127,500 0.1X S6.40 11.8X 39.2X 43,267 565,900 0.2X S27.41 22 . ex 99,169 CHEBOYGAN 22,636 53.4X CHIPPEWA 798,200 0.3X S27.50 31,928 28.OX 131.7X 114,139 23,686 CLARE 3,665 91,625 O.OX S3.85 15.5X 14.5X CLINTON 0.1X S2.36 20,738 5,275 131,875 25.4X 36.OX CRAWFORD 2,509 62,725 O.OX S6.63 17.IX 23.4X 14,712 0.2X S10.20 7.3X 70,859 DELTA 15,897 397,425 22.4X DICKINSON 82,156 2,053,900 0.9X S81.0S 23.5X -1.0X 350,134 EATON 50,657 1,266,425 0.6X S14.34 32.8X 195.re 154,599 254,450 0.1X $11.07 2.4X 79,848 EMMET 10,178 12.7X 406,520 10,163,000 24 .BX 17.7X 1,641,590 GENESSE 4.4X $22.56 GLADWIN 40,825 O.OX S2.05 19.9X 54.5X 8,223 1,633 O.OX $4.42 19.7X 46.IX 17,686 GOGEBIC 3,479 86,975 GR. TRAV. 59,167 1,479,175 0.6X $26.94 23.3X 28.2X 253,642 TOTAL SALES REVENUES 1985 182.275 25,325 2,588,475 3,762,250 323,975 2,038,550 286,100 515.900 9,906,500 96,450 24,005,300 1,272.275 12,652,500 1,562,050 1,081,675 2,479,225 2,853,475 592,150 518,450 367,800 1,771,475 8,753,350 3,864,975 1,996,200 41,039,750 205,575 442,150 6,341,050 FAST SALES FOOO REVENUES SALES TAX 1986(1) 65 1.625 275 6.875 14,000 350,000 39,770 994,250 2,718 67,950 14,072 351,800 1,688 42,200 4,493 112,325 94,684 2,367,100 408 10,200 221,725 5,543,125 8,040 201,000 109,626 2,740,650 15,547 388.675 5,455 136,375 18,590 464,750 30,732 768,300 1,754 43,850 22,197 554,925 1,306 32,650 356,725 14,269 71,456 1,766,400 45,167 1,129,175 7,902 197,550 373,885 9,347,125 1,155 28,875 3,278 B1.9S0 71,083 1,777,075 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 85(1)TO SALES SALES YEAR 86(1) TAX O.OX $0.17 O.OX $0.75 0.2X S4.29 0.5X $30.77 O.OX $4.20 0.2X $23.92 O.OX $4.97 0.1X $2.45 1.1X $19.75 O.OX $0.91 2.6X $32.36 0.1X $5.00 1.3X $19.36 0.2X $7.85 0.1X $6.85 0.2X $22.51 0.4X $26.47 O.OX $1.84 O.SX $9.93 O.OX $3.45 0.2X $9.16 O.SX $70.49 0.5X $12.78 0.1X $8.59 4.4X $20.75 O.OX $1.45 O.OX $4.16 0.8X $32.37 1.2X -88.OX 32.5X 47.1X 16.SX -23.8X 19.re 27.3X 21.6X 5.IX 16.4X 9.9X 9.IX 24.re 6.6X 149.9X 21.8X 18.4X 9.SX 19.6X 18.9X 16.9X 14.2X -7.5X 21.re 1.1X 13.3X 25.OX 12.2X -2.6X is.r e 31.4X 21.4X 39.2X 10.6X -43.6X 23.5X 475.8X 7.3X -18.SX 15.6X 6.1X 20.3X -2.0X 19.3X 177.re e . re -22.9X 22.1X 4.IX 11.8X 11.8X 13.re 19.IX 18.8X 54.8X FAST SALES FOOO REVENUES SALES TAX 1986(2) 2,094 52,350 353 6,825 25,289 632,225 53,873 1,346,825 3,015 75,375 22,019 550,475 6,693 167,325 20,394 509,850 119,306 2,982,650 1,147 28,675 294,657 7,366,425 19,763 494,075 127.833 3,195,825 30,965 774,125 13,039 325,975 30,543 763,575 35,730 893,250 5,907 147,675 24,055 601,375 5,419 135,475 22,350 558,750 94,396 2,359,900 65,963 1,649,075 23,159 578,975 450,982 11,274,550 2,881 72,025 5,991 149,775 95,973 2,399,325 PERCENT OF TOTAL SALES TAX O.OX O.OX 0.2X O.SX O.OX 0.2X 0.1X 0.2X 1.1X O.OX 2 .re 0.2X 1.2X 0.3X 0.1X 0.3X 0.3X 0.1X 0.2X 0.1X 0.2X 0.9X 0.6X 0.2X 4.2X O.OX 0.1X 0.9X COUNTY TOTAL SALES TAX 1985 97,100 67,225 74,208 66,131 1,052,457 119,543 53,113 12,415 219,572 603,244 1,685,480 0 1,274,558 247 38,072 113,086 28,009 172,009 460,643 11,576 62,614 1,460,125 61,667 131,327 84,008 112,802 37,525 46,772 TOTAL SALES REVENUES 1985 2,427,500 1,680,625 1,855,200 1,653,275 26,311,425 2,988,575 1,327,825 310,375 5,489,300 15.081,100 42,137,000 0 31,863,950 6,175 951,800 2,827,150 700,225 4,300,225 11,516,075 289,400 1,565,350 36,503,125 1,541,675 3,283,175 2,100,200 2,820,050 938,125 1,169,300 FAST SALES FOOO REVENUES SALES TAX 1986(1) 21,279 531,975 14,069 351,725 21,133 528,325 295,250 11,810 231,068 5,776,700 23,130 578,250 10,110 252,750 41,650 1,666 59,297 1,482,425 120,468 3,011,700 408,114 10,202,850 0 0 345,231 8,630,775 0 0 1,423 35,575 24,922 623,050 1,965 49,125 35,590 889,750 110,255 2,756,375 2,137 53,425 5,831 145,775 342,233 8,555,825 9.393 234,825 30,131 753,275 14,427 360,675 798,575 31,943 14,339 358.475 10,249 256,225 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 85(1)T0 SALES SALES YEAR 86(1) TAX 0.2X $13.15 0.2X $8.36 0.2X $13.95 0.1X $8.10 2.7X $20.97 0.3X $11.16 0.1X $8.92 O.OX $3.05 0.7X $27.40 1.4X $19.88 A.BX $48.04 O.OX $0.00 4.OX $19.42 O.OX $0.00 O.OX $4.61 0.3X $8.90 O.OX $3.51 O.AX $9.89 1.3X $27.48 O.OX $8.02 0.1X $14.32 4.OX $12.32 0.1X $10.20 O.AX $10.17 0.2X $13.68 O.AX $21.61 0.2X $13.68 0.1X $3.48 20.9X 16.3X 21.IX 16.2X 24.BX 18.2X 1E.9X 14.IX 16.OX 22.2X 21.OX O.OX 20.8X O.OX 6.3X 22.5X 8.IX 18.9X 20.4X 18.OX 9.5X 22.4X 15.3X 19.5X 15.OX 21.5X 19.5X 20.8X 10.0X 7.6X 46.6X 6.3X -11.IX -1.9X 17.1X -5.0X 24.8X •4.2X 10.IX ERR 37.2X ERR -77.7X 13.8X •22.2X 15.0X 21.6X 2.5X -51.ex 9.OX 8.9X 27.ax 10.8X 65.2X 464.7X 0.5X FAST FOOO SALES TAX 1986(2) 27,887 22,458 24,729 21,907 256,265 35,876 17,525 3,665 92,658 176,098 496,939 1,881 439,975 31 7,435 29,881 6,165 56,100 147,451 3,060 10,911 415,557 15,646 42,567 27,405 39.167 20,273 13,533 SALES REVENUES 697,175 561,450 618,225 547,675 6,406,625 896,900 438,125 91,625 2,316,450 4,402,450 12,423,475 47,025 10,999,375 775 185,875 747,025 154,125 1,402,500 3,686,275 76,500 272,775 10,388,925 391,150 1,064,175 685,125 979,175 506,825 338,325 PERCENT OF TOTAL SALES TAX 0.3X 0.2X 0.2X 0.2X 2.4X 0.3X 0.2X O.OX 0.9X 1.6X 4.6X O.OX 4.IX O.OX 0.1X 0.3X O.U O.SX 1.4X O.OX 0.1X 3.9X 0.1X O.AX O.SX O.AX 0.2X O.U 246 GRATOIT NILLSOALE HOUGHTON HURON INGHAM IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEWEENAW LAKE LAPEER LEELANAU LENAWEE LIV. LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE MIDLAND FAST SALES PERCENT PER PERCENT CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL 83(4)T0 SALES SALES SALES TEAR 85(4) TAX TAX 1985(4) 23,537 24.2X 12.IX 588,425 0.3X S14.55 15,311 22.BX 382,775 0.2X S9.10 7.6X 19,150 478,750 0.2X S12.64 25.8X 5S3.6X 13,583 20.SX -24.6X 339,575 0.1X S9.31 245,517 6,137,925 23.3X -10.3X 2.7X $22.28 27,303 0.3X $13.17 22.8X 682,575 0.7X 8,922 0.1X $7.87 16.ex -5.9X 223,050 2,241 O.OX $4.11 56,025 18.IX -6.8X 64,144 1,603,600 0.7X $29.64 29.2X 41.8X 144,531 3,613,275 1.6X $23.85 24.OX 0.9X 429,918 10,747,950 4.7X $50.61 25.5X 8.IX 0 0 O.OX $0.00 ERR ERR 322,517 8.062,925 25.3X 20.3X 3.5X $18.14 36 900 O.OX $0.46 14.6X -34.5X 2,432 60,800 O.OX $7.88 6.4X -19.4X 26,635 665,875 0.3X $9.51 23.6X 6.9X 3,689 92,225 O.OX $6.58 13.2X 63.2X 36,551 913,775 O.AX $10.16 21.2X 9.8X 115,068 2,876,700 1.3X $28.68 25.OX 16.3X 2,508 O.OX $9.42 62,700 21.7X -2.5X 8,370 13.4X -31.IX 209,250 0.1X $20.56 367,622 9,190,550 2S.2X -1.9X 4.OX $13.23 11,147 0.1X $12.11 4.ex 278,675 18.IX 34,282 O.AX $11.57 26.IX 19.OX 857,050 16,457 411,425 0.2X $15.60 19.6X -7.8X 37,677 33.4X 59.IX 941,925 O.AX $25.48 15,533 388,325 0.2X $14.82 41.4X 4.2X 10,950 273,750 0.1X $3.72 23.4X 135.5X FAST SALES PERCENT PER PERCENT CHANGE FOOO REVENUES OF TOTAL CAPITA OF TOTAL 83(4)TO SALES 85(4) SALES SALES YEAR TAX TAX 1983(4) 2,269 MISSAUKEE 56,725 O.OX S5.67 18.5X 13.5X 27,539 MONROE 688,475 0.3X S5.11 22.7X -30.6X MONTCALM 2,984 74,600 O.OX SI.57 10.2X -32.4X MONTMOREN 6,729 168,225 0.1X S22.45 23.6X 10.8X MUSKEGON 80,058 2,001,450 19.2X -37.OX 0.9X S12.70 NEUAYGO 4,557 113,925 O.OX S3.26 19.3X 57.3X OAKLAND 1,360,760 34,019,000 14.BX S33.62 25.U 17.3X OCEANA 1,885 47,125 O.OX S2.14 S.SX -26.OX OGEMAW 4,947 123,675 0.1X S7.52 19.5X 0.7X ONTONAGON 1,795 44,875 O.OX S4.55 13.OX -11.5X 9,646 OSCEOLA 241,150 0.1X S12.74 24.OX 37.5X OSCOOA 4,197 104,925 O.OX S15.30 24.2X 106.2X OTSEGO 237,325 9,493 0.1X S15.B3 33.3X 181.4X 48,851 OTTAWA 1,221,275 0.5X S7.77 18.9X -45.OX PRES. IS. 368 9,200 O.OX SO.64 12.9X -91.3X ROSCOMMON 24,156 603,900 O.SX S36.88 21.5X 10.9X 33,247 SAGINAW 831,175 0.4X S3.64 24.3X 32.2X ST. CLAIR 73,501 1,837,525 O.BX S13.24 24.6X 29.7X ST.JOSEPH 24,731 618,275 O.SX S11.02 22.9X -30.OX 12,872 SANILAC 321,800 0.1X S7.89 24.4X 18.SX 0 SCHCRFT. 0 O.OX SO.OO ERR ERR SHIAWASSE 25,316 632,900 O.SX S8.90 22.9X -8.6X TUSCOLA 9,914 247,850 0.1X S4.35 23.4X 169.OX VAN BUREN 13,946 348,650 0.2X S5.22 15.9X 4.6X WASHTENAW 311,656 7,791,400 3.4X S29.43 29.3X 30.9X WAYNE 1,387,641 34,691,025 24.6X 12.9X 15.IX S14.84 WEXFCRD 7,001 175,025 O.U S6.97 24.IX 15.OX 0UT/STATE2,423,276 60,581,900 26.4X 25.8X 16.9X COUNTY TOTAL SALES TAX 1985 TOTAL SALES REVENUES 1985 12,235 305,875 121,475 3,036,875 29,116 727,900 28,477 711,925 417,336 10,433,400 23,551 588,775 5,422,372 135,559,300 22,177 554,425 25,378 634,450 13,855 346,375 40,170 1,004,250 17,317 432,925 28,470 711,750 257,791 6,444,775 2,848 71,200 112,355 2,808,875 137,074 3,426,850 299,142 7,478,550 108,183 2,704,575 52,777 1,319,425 0 0 FAST SALES FOOO REVENUES SALES TAX 1986(1) 1,475 36,875 28,113 702,825 3,905 97,625 3,101 77,525 77,733 1,943,325 4,048 101 ,2 0 0 1,290,095 32,252,375 1,537 38,425 2,690 67,250 1,481 37,025 7,680 192,000 2,696 67,400 9,148 228,700 51,021 1,275,525 430 10,750 23,992 599,800 25,918 647,950 66,486 1,662,150 28,124 703,100 6,834 170.850 0 0 18,446 461,150 110,312 2,757,800 42,374 1,059,350 9,649 241,225 87,666 2,191,650 252,675 10,107 1,063,960 26,599,000 260,557 6,513,925 5,638,984 140,974,600 1,351,275 33,781,875 28,994 724,850 6,514 162,850 9,387,516 234,687,900 2,145,439 53,635,975 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL B5(1)T0 SALES SALES YEAR 8 6 (1) TAX O.OX S3.68 0.3X S5.22 O.OX S2.05 O.OX S10.3S 0.9X S12.33 O.OX S2.90 15.IX S31.88 O.OX SI.75 O.OX S4.09 O.OX S3.75 O.U S10.14 O.OX S9.83 O.U SIS.25 0.6X S8.12 O.OX SO.75 O.SX S36.63 0.3X S2.84 O.BX S11.97 0.3X S12.54 O.IX S4.19 O.OX SO.OO 0.2X S6.48 O.U S4.23 O.U S3.78 3.U S24.60 15.8X S14.4S O.U S6.49 25.IX 11.0X 20.4X 12.9X 79.SX 19.6X 13.8X 20.4X 7.4X 13.2X 16.8X 20.OX 13.OX 19.2X 17.7X 18.OX 17.5X 19.7X 19.9X 14.6X 19.5X O.OX 20.7X 19.5X 10.4X 21.9X 21.2X 17.0X 22.6X FAST SALES FOOO REVENUES SALES TAX 1986(2) 3,901 97,525 40,315 1,007,875 12,706 317,650 328 8 ,2 0 0 107,937 2,698,425 10,071 251,775 1,660,491 41,512,275 5,704 142,600 6,676 166,900 2,601 65,025 277,300 11,092 5,464 136,600 11,307 282,675 80,409 2,010,225 468 11,700 35,865 896,625 34,126 853,150 83,545 2,088,625 49,722 1,243,050 251,275 10,051 0.9X 28.OX -3.7X -25.8X -22.IX 6 6 .8X 16.5X -11.3X -23.OX 11.4X 26.OX 420.5X 121.9X 14.3X 129.9X 49.2X -8.8X 14.5X 40.4X -32.IX ERR 0 0 -21.9X 24,946 623,650 30.4X 15,804 395,100 S.SX 34,485 862,125 16.6X 285,364 7,134,100 7.2X 1,718,785 42,969,625 2o.ex 10,895 272,375 9.IX 2,436,748 60,918,700 PERCENT OF TOTAL SALES TAX O.OX O.AX O.U O.OX 1.0X O.U 15.4X O.U O.U O.OX O.U O.U C.1X 0.7X O.OX O.SX O.SX O.SX O.SX O.U O.OX 0.2X O.U O.SX 2.7X 16.0X O.U 22.7X COUNTY FAST MLES FOOO REVENUES SALES TAX 1*83(4) TOTAL *,182,377 229,364,423 comty/ av 81,437 2,033,934 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL S3(4)TO MIES 83(4) MLES TEAR TAX 100.0X 24.91 S18.24 TOTAL SALES TAX 1983 TOTAL SALES REVENUES 1983 FAST MLES FOOO REVENUES SALES ■ TAX 1986(1) 13.1X36.938.U2 923,461,030 8,336,047 213,401,173 331,939 8,298,472 76,993 1,924,882 PERCENT PER PERCENT CHANCE OF TOTAL CAPITA OF TOTAL 83(1)TO SALER SALES YEAR 86(1) TAX 100.0X 21.0X 817.23 SALES FAST FOOO REVENUES SALES TAX 1986(2) 11.2X10,736,640 268,916,000 100,240 2,503,992 PERCENT OF TOTAL SALES TAX 100.0X ro -p» oo COUNTY PER PERCENT CHANGE CAPITA OP TOTAL 83(2)10 BALEB YEAR 86(2) ALCONA S3.37 10.96 ALGER ALLEGAN B7.75 M l .68 ALPENA ANIKIN BA.63 ARENAC B37.A3 S19.72 ■ARAGA S11.14 IARRY RAY S2A.88 BENZIE B2.36 ■ERRIEN M3.01 RRANCH S12.29 CALHOUN $22.58 CASS 815.64 CHARLVX. $16.37 CHEBOYGAN $36.98 CHIPPEWA $30.77 CLARE $6.20 CLINTON $10.76 CRAWFORD $14.31 DELTA $14.33 DICKINSON S93.I3 EATON $18.67 EHHET $23.18 GENESSE $23.03 GLADWIN $3.61 $7.61 GOGEBIC GR. TRAV. $43.70 39.8X 41.8$ 30.41 26.7X 24.OX 2S.7X 33.9X 3 1 .IX 27.4X 27.7X 25. IX 34.9X 23.3X 26.6X 29.2X 2S.8X 24.9X 3S.5X 25.SX 30.5X 24.4X 26.8X 28.2X 23. SX 26.71 29.4X 23.OX 23.4X •16.7X 27.9X •19.5X S 3.IX -8.9X 2.2X 5S.4X 1S9.6X 11.BX 26.21 16.4X 6.6X -6.4X 63.71 3 . IX 69.SX 26.6X -29.9X 33S.0X 2 8.IX 16.31 2.3X 96.ZX 16.3X 4.11 15.21 13.OX 49.4X BALEB PERCENT PER PAST PERCENT CHANGE FOOO REVENUES OP TOTAL CAPITA OF TOTAL 8S(3)TO SALES SALES YEAR 86(3) BALEB TAX TAX 1986(3) 77,630 3,106 O.OX S7.97 S9.0X -23.3X 82 O.OX SO.22 2,030 9.71 -76.21 28,983 0.3X S8.89 724,623 34.8X -14.BX 28.11 31.7X 36,628 1,415,700 O.SX M3.81 4,186 104,650 O.OX S6.46 33.3X -6.8X 28,606 715,150 0.3X M8.63 2.6X 33.4X 41.71 98.SX 7,775 194,375 0.1X $22.91 25,240 631,000 0.21 $13.78 38.SX 187.9X 1.01 $23.49 25.91 112,625 2,815,625 1.11 2,187 34,675 O.OX M .66 52.71 2 .IX 348,499 8,712,475 3 .IX $50.87 29.71 23.7X 18,488 462,200 0.2X $11.50 32.71 18.SX 147,179 3,679,475 1.3X $25.99 29. IX 4.4X 32,256 806,400 0.3X $16.29 27.7X 72.21 48.71 21,702 542,550 0.2X $27.25 B.9X 45,668 1,141,700 O.AX $53.29 38.6X 2.9X 29.31 31.61 O.AX $36.18 42,011 1,050,275 6,514 0.1X $6.84 162,850 39.2X •23.2X 0.21 $10.80 25.61 297.1X 24,138 603.450 7,671 191,775 0.1X $20.26 4 3 .1X 20.41 29,974 749,350 32.81 34.21 0.31 $19.24 101,412 2,535,300 0.9X $100.05 28.BX -1.3X 62,301 1,557,525 0.6X $17.63 26.6X 15.31 0.41 M 7.29 43,493 1,087,325 47.9X 10. IX 3.91 27.21 460,152 11,303,800 4 . IX $25.54 3,405 85,123 O.OX M .27 34.7X 11.4X 0.1X $8.16 26.81 6,429 160,723 4.3X 122,864 3,071,600 1.11 $53.93 32.SX 4S.7X PAST BALES FOOO REVENUES RALES TAX 1986(4) 0 0 133 3,373 13,018 375,450 31,28) 1,282,025 2,663 66,625 21,009 525,225 2,494 62,350 15,475 386,875 108,662 2,716,550 406 10,150 308,504 7.712.600 10,261 256,525 121,397 3,034,925 37,693 942,325 4.39S 109,875 23,655 591,375 34,883 872,073 2,442 61,050 24,024 600,600 3,395 84,875 24,885 622,125 85,325 2,133,125 60,371 1,509,275 16,223 405,575 404,516 10,112,900 2,365 59,125 8,288 207,200 88,304 2,212,600 PERCENT PER PERCENT CHANGE OP TOTAL CAPITA OF TOTAL 85(4)TO SALES BALEB YEAR 86(4) TAX O.OX SO.OO O.OX SO.37 0.1X S4.60 O.SX B39.67 O.OX $4.11 0.2S $35.72 O.OX $7.35 0.2X $8.45 1.1X $22.66 O.OX $0.91 3 .OX M 5.03 0.1X $6.38 1.2X $21.44 O.AX $19.04 O.OX $5.52 0.2X $28.64 0.3X $30.04 O.OX $2.36 0.2X $10.75 O.OX $8.97 0.21 $15.97 O.SX $84.18 0.6X $17.09 0.2X $17.64 4 .OX $22.45 O.OX $2.96 O .U $10.33 0.9X $40.30 TOTAL SALES TAX 1986 O.OX -100.0X 3,263 16.OX -34.51 845 18.OX •23.9X 83,292 25.4X 23.6X 201,352 21. ZX 3.6X 12,584 24 .SX S.SX 83,706 13.4X 33.6X 18,630 23.61 S98.6X 65,602 23.OX 10.71 435,277 9.8X -12.9X 4,148 26.31 30.BX 1,173,385 16.IX 27.4X 56,552 24.OX 1.0X 306,035 32.4X 204.11 116,461 9.9X •13.8X 44,591 20.01 4.SX 118,436 9.31 24.31 143,336 14.71 •33.4X 16,617 2S.4X 35S.4X 94,414 19.11 35.3X 17,791 27.21 S6.5X 91,478 24.2X 3.9X 352,589 25.81 19.21 233,802 17.9X 59.4X 90,777 23.9X •O.SX 1,689,335 24.11 44.81 9,806 34.6X 138.2X 23,986 23.4X 49.6X 378,424 TOTAL SALES REVENUES 1986 131,623 21,123 2,082,300 3,038,800 314,600 2,142,630 466,250 1,640,050 10,881,923 103,700 29,334,623 1,413,800 12,630,875 2,911,525 1,114,775 2.961,400 3,583,900 415.423 2,360,350 444,775 2,286,950 8,814,725 5,845,050 2,269,423 42,238,375 245,150 399,650 9,460,600 COUNTY KR DESCENT CHANGE CAPITA Of TOTAL BS(2)TO SALES TEAR 86(2) GRATOIT 117.24 HILLSDALE 113.35 HOUGHTON •16.32 HURON S IS.02 123.25 INGHAM IONIA S17.SI IOSCO SIS.AS IRON 16.72 ISABELLA SA2.81 JACKSON 129.04 KALAMAZOO S58.50 KALKASKA 14.29 KENT S24.7S KEUEENAU 10.39 124.11 LAKE 110.67 LAPEER LEELANAU 111.00 LENAUEE 115.59 LIV. 136.76 LUCE 111.49 MACKINAC 126.80 MCQM8 114.96 MANISTEE 116.99 MARQUETTE 1U .3 6 125.99 MASON MECOSTA 126.49 MENOMINEE 119.34 MIDLAND 14.60 27.41 26.01 24.71 30.11 27.S1 28.31 27.61 31.11 24.91 32.51 25.61 37.01 26.61 U . 61 32.71 26.91 25.31 29.71 27.31 25.71 17.91 27.21 25.51 27.61 28.51 26.41 27.61 27.41 3.91 15.81 28.71 12.21 -13.81 9.71 5.61 6.31 77.71 6.31 13.81 ERR 34.61 -53.71 -41.91 -3.01 -6.21 9.11 18.51 2.71 -49.61 6.61 -9.81 28.51 11.81 45.21 488.61 6.01 EAST rooo SALES TAX SALES REVENUES 1986(3) 26,489 662,225 27,207 680,175 29,201 730,025 23,881 597,025 228,077 5,701,925 36,289 907,225 18,478 461,950 4,252 106,300 105,782 2,644,550 145,477 3,636,925 523,436 13,065,900 1,720 43,000 449,636 11,240,900 152 3,600 10,295 257,375 30,343 758,575 13,569 339,225 57,798 1,444,950 150,249 3,756,225 4,117 102,925 34,463 861,575 399.562 9,989,050 23,218 580,450 47,451 1,186,275 35,971 899,275 40,282 1,007,050 21,314 532,850 13,622 345,550 DESCENT KR PERCENT CHANGE Of TOTAL CAPITA Of TOTAL 6S(3)T0 SALES SALES TEAR 86(3) TAX 0.21 0.21 0.31 0.21 2.01 0.31 0.21 0.01 0.91 1.31 4.71 0.01 4.01 0.01 0.11 0.31 0.11 0.51 1.31 0.01 0.31 3.61 0.21 0.41 0.31 0.41 0.21 0.11 S16.37 *16.17 119.28 116.38 120.70 117.51 116.30 17.80 148.67 124.01 161.62 13.93 125.29 11.94 S33.38 110.83 124.22 116.06 137.45 S15.46 184.65 S14.38 125.22 116.01 134.11 127.25 120.34 14.70 26.01 31.51 29.21 32.81 24.41 28.61 29.11 36.11 28.51 26.61 26.91 33.81 27.11 71.41 45.31 27.31 55.71 30.61 27.61 34.61 56.41 26.21 37.81 30.71 37.51 27.11 29.01 28.01 -3.31 39.91 36.31 9.01 -8.71 1.01 -2.61 •14.51 69.71 -t3.0X 16.81 ERR 20.41 5.61 -37.51 •10.11 -10.81 8.81 15.21 2.81 68.31 2.71 -5.41 17.71 19.81 39.81 33.11 7.51 fAST SALES rooo REVENUES SALES TAX 1986(4) 26,074 651,850 22,669 366,725 24,857 621,425 15,268 381,700 217,895 5,447,375 31,489 787,225 17,354 433,650 2,200 55,000 113,774 2,844,350 99,609 2.49S.225 516,317 12,907,925 1,488 37,200 421,734 10,543,350 30 750 3,590 89,750 646,275 25,851 2,669 66,725 39,309 982,725 132,405 3,310,125 2,567 64,675 9,889 247,225 369,209 9,230,225 13,101 327,525 34,177 854,425 18,227 455,675 37,036 925,900 438,050 17,322 11,717 292,925 KRCENT KR KRCENT CHANGE Of TOTAL CAPITA Of TOTAL 65(4>TO SALES SALES TEAR 86(4) TAX 0.31 816.12 0.21 S13.47 0.21 116.41 0.21 110.47 2.11 119.77 0.31 115.19 0.21 115.30 0.01 14.03 1.11 152.57 1.01116.47 5.11 160.78 0.01 13.40 4.11 123.72 0.01 10.38 0.01 111.64 0.31 S9.23 0.01 14.76 0.41 110.93 1.31 133.01 0.01 89.71 0.11 124.29 3.61 113.29 0.11 114.23 0.31 111.53 0.21 S17.28 0.41 125.05 0.21 116.72 0.11 13.98 25.61 26.21 24.91 21.01 23.31 24.81 27.31 18.71 30.61 18.41 26.51 29.21 25.51 14.11 15.81 23.31 11.01 20.81 24.51 21.71 16.21 24.21 21.41 22.11 19.01 25.01 23.91 23.81 TOTAL SALES TAX 1986 10.81 101,729 48.11 86,403 29.81 99,920 12.41 72,866 •11.31 933,305 15.31 126,784 94.51 63,467 -1.81 11,783 77.41 371,511 •30.91 541,852 20.11 1,944,806 ERR 5,089 30.81 1,656,576 •16.71 213 47.61 22,743 •2.91 110,997 -27.61 24,368 7.51 188,797 15.11 540,360 3.11 11,901 18.11 61,094 0.41 1,526,561 17.51 61,358 -0.31 154,326 10.81 96,030 -1.71 148,428 12.81 73,448 7.01 49,321 TOTAL SALES REVENUES 1986 2,543,225 2,160,075 2,498,000 1,821,650 23,332,625 3,169,600 1,586,675 294,575 9,287,775 13,546,300 48,620,150 127,225 41,414,400 5,325 568,575 2,774,925 609,200 4,719,925 13,509,000 297.52S 1,527,350 38,164,025 1,533,950 3,858,150 2,400,750 3,710,700 1,836,200 1,233,025 COUNTY PER PERCENT CHANGE CAPITA OF TOTAL 85(2)T0 SALES YEAR 86(2) MISSAUKEE MONROE MONTCALM MONTMOREN MUSKEGON NEWAYGO OAKLAND OCEANA OGEMAW ONTONAGON OSCEOLA OSCOOA OTSEGO OTTAWA PRES. IS. ROSCOMMON SAGINAW ST. CLAIR ST.JOSEPH SANILAC SCHCRFT. SHIAWASSE TUSCOLA VAN SUREN WASHTENAW WAYNE WEXFORD OUT/STATE $9.74 $7.48 $6.68 SI .09 $17.12 $7.21 $41.03 $8.48 $10.15 $6.59 $14.65 $19.92 $18.85 $12.79 $0.82 $54.76 $3.74 $15.05 $22.16 $6.16 $0.00 $8.77 $6.94 $12.90 $26.95 $18.38 $10.85 29.OX 29.2X 42.IX 8.4X 27.3X 34.4X 26.2X 27.4X 32.8X 29.5X 28.9X 26.4X 23.7X 27.9X 19.6X 26.IX 25.9X 25.OX 26.2X 28.6% O.OX 28.OX 31.9X 3S.5X 24.OX 27.OX 28.5X 2S.7X s.ox 10.8X 16.7X -95.5X -20.8X 26.5X 14.8% -21.7X -10.2% -65.2X -3.9X 10.5X 6S.2X 6.IX -50.6X 23.7X -8.1X 10.6X 60.5X -30.1X ERR -21.6X 34.9X 15.9X 9.SX 16.3X 48.2X 0.4X FAST SALES PERCENT PER PERCENT CHANGE FAST SALES PERCENT PER PERCENT CHANGE TOTAL FOOO REVENUES OF TOTAL CAPITA OF TOTAL 85(3)TQ FOX) REVENUES OF TOTAL CAPITA Of TOTAL 8S(4)TO SALES SALES SALES SALES YEAR 86(3) SALES SALES SALES YEAR 86(4) TAX TAX TAX TAX TAX 1986 1986(3) 1986(4) 5,401 135,025 O.OX S13.49 40. IX 12.8X 2,690 67,250 O.OX $6.72 20.OX 18.6% 13,467 39,261 981,525 0.3X $7.29 28.5X 10.4X 30,202 755,050 0.3X $5.61 21.9X 9.7X 137.891 36.7% -1.0X 11,075 276,875 0.1X $5.82 2,475 O.OX $1.30 61,875 B.2X -17.1% 30,161 458 11,450 O.OX $1.53 11.8% -95.6% 0 0 O.OX $0.00 O.OX -100.0X 3,887 115,210 2,880,250 1.0X $18.28 29.IX 13.9X 95,069 2,376,725 0.9X $15.08 24.OX 18.8X 395,949 9,948 248,700 0.1X $7.12 33.9X 15.6X 5,238 130,950 0.1X $3.75 17.9X 14.9X 29,305 1,763,033 44,075,825 15.7X $43.56 27.8X 16.9X 1,617,402 40,435,050 15.9X $39.96 25.5% 18.9X 6,331,021 11,856 296,400 5.2% 0.1X $13.47 56.9X 1,741 43,525 O.OX $1.98 8.4X -7.6X 20,838 7,768 194,200 0.1X $11.82 38.2X -18.3% 3,198 79,950 O.OX $4.86 15.7X -35.4% 20,332 3,314 82,850 37.5X 1,433 O.OX $8.40 1.8X 35,825 O.OX $3.63 16.2% -20.2X 8,829 11,772 294,300 0.1X $15.55 30.7X •8.7X 7.863 196,575 0.1X $10.39 20.5X -18.5% 38,407 7,875 196,875 0.1X $28.71 38.OX 2.9X 4,688 117,200 O.OX $17.09 22.6X 11.7X 20.7a 15,317 382,925 0.1X $25.54 32.IX 88.4X 11,968 299,200 0.1X $19.96 25.IX 26.IX 47,740 91,377 2,284,425 31.7X 65,420 1,635,500 0.8X $14.S3 3.3X 0.6X $10.41 22.7X 33.9X 288,227 925 23,125 O.OX $1.62 38.7X -31.3% 565 14,125 O.OX $0.99 a.7x 53.SX 2,388 49,020 1,225,500 35.7X 13.6% 28,490 0.4X $74.84 712,250 0.3X $43.50 20.7X 17.9X 137,367 39,868 996,700 30.3X 31,722 0.4X $4.37 4.2X 793,050 0.3X $3.48 24.1X -4.6X 131,634 102,483 2,562,075 30.7X 11.4% 81,536 2,038,400 0.9X $18.46 0.8X $14.69 24.4% 10.9X 334,050 55,114 1,377,850 29.OX 69.8X 57,127 1,428,175 0.5X $24.57 0.6X $25.47 30.IX 131.0% 190,087 10,414 260,350 7,789 0.1X $6.38 29.7X -32.7X 194,725 0.1X $4.77 22.2X -39.5X 35,088 68.1% 1,273 31,825 O.OX $3.71 ERR 595 31.9% 14,875 O.OX $1.73 1,868 ERR 24,539 0.2X $8.62 27.5X -17.0X 21,223 23.8% -16.2X 613,475 530,575 0.2X $7.46 89,154 13,081 327,025 0.1X $5.74 26.4X -2.0X 11,026 275,650 0.1X $4.84 22.2X 11.2% 49,560 36,606 915,150 37.7% S.6X 15,822 395,550 0.2X $5.92 0.3X $13.70 16.3X 13.SX 97,020 292,487 7,312,175 29.5% 12.5% 1,188,970 2.6X $27.62 24.6X 9.OX 350,562 8,764,050 3.4X $33.10 1,701,339 42,533,475 15.IX $18.19 26.7X 12.5X 1,599,683 39,992,075 15.7% $17.11 25.IX 15.3% 6,371,082 11.904 8,941 2U, 525 0.1X $8.90 297,600 0.1X $11.86 31. IX 28.7% a.4X 27.7X 38,254 a.sx 2,515,495 62,887,375 22.4X 26.SX -2.2X 2,393,601 59,840,025 S.2X -1.2X 9,491,283 TOTAL SALES REVENUES 1986 336,675 3,447,275 754,oa 97,175 9,898,725 a2,625 158,275,525 520,950 508,300 220,725 960,175 518,075 1,193,500 7,205,675 59,700 3,434,175 3,290,850 8,351,250 4,752,175 877,200 46,700 2,228,850 i.ao.ooo 2,425,500 29,724,250 159,277,050 956,350 a7,282,075 COUNTY PER PERCENT CHANGE CAPITA OF TOTAL 8S(2)TO SALES YEAR 86(2) TOTAL COUNTY/AV *22.46 26.4X FAST SALES FOOD REVENUES SALES TAX 1986(3) PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 8S(3)TO MIES MLES YEAR 86(3) TAX 10.1X11,244,320 281,108.000 105,167 2,629,164 100.0X 27.6X S23.56 FAST MLES FOOO REVENUES MLES TAX 1986(4) 9.1X10,164,587 254,114,675 93,626 2,340,658 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 8S(4)TO SALES MLES YEAR 86(4) TAX 100.0X 2S.0X S20.98 TOTAL MLES TAX 1986 TOTAL SALES REVENUES 1986 10.7X40,701,594 1,017,539,850 376,028 9,400,696 APPENDIX J STATISTICAL ABSTRACT FOR TAVERNS & CLUBS SALES TAX BY QUARTER FOR MICHIGAN COUNTIES 1983-86 253 s | a - s s s 2 2MM U l ■ Q, U k3 a S R X m l Q ^ m ! 3 % N ^ ^ ^ f S m K n ( S N N ^ i 3 ( 8 N ! ! r r S ^ i ! 3 ^ - a m S i s«j at o Ul a. Ik o R s s s K s a s s s f c a s s a s s f e s s s s R s s a a s R8 s s &3 Ss r i s a » SKS8 « a » » » t e ! s s s 5 s s i a m o m * m k o o ^ m o m m m m o d ^ o m m N m d f m m m ' o o - m m o m o d m m m m D o o o o ^ o m m m m ^ o o ^ < 5* § 2 8 8 8 8 8 1 § 8 3 E5 § 8 8 S § I 5 § 8 8 8 8 5 I 8 < ^ ! A ! ! ^ 0 > K l f r N P r O < ' i | 0 > r K I K I < « K i n i i | l A ^ n a K 4 M 4 i n » 9 4 N < o « ,‘ ,d ,O f M i n < 4 N i n « F * o 9 o i n n < o o < 0 * 0 4 4 » N* m n S 3« Ul ^ Ul I - b K Q O o N N n fV «# s ^ F ' f ^ P Q Q O K ^ * , N K i i < j* O S N O * / •• I M O < ‘ Q N » < n ^ i“* a v n i f t f* N « •■* v M e a N N O i n ,O l f l « i S k O ‘ ^ N M < / o ’ » •* K * f O* K l K O l M K I ' I N M N l A I Q V M i f t IA 4 M 4 0 ^ v l s O • # p t* M K a e g g g S S C S S g i J S S e S g g g K S C S K ^ S S K S i 3M 5 O K a l f l « i n i \ S n i A m 3 * - W K I N f N N K l A <0 N < # n * * * N N K K < O K M ' O N « - « - N • N i A a O K d c O O ^ * * « > o o « * « r u o ►- < ~ < S i A e N N o o u i 0 O » O N o n r o K o K a ui O I M Kl (M N S ~ 3 Ul U. Ill a O >■ s—• ul« s 3s i M ; u i ' d n N n ? < f v i 4 n n ^ f | n N M ' O < O 4 O « i n o i e 0 K ae a. ^ l i l O ^ I M O ' O K N N S N n ’O ' f ^ f t * * > * O Q I M lO I M ( 0 « « 4 0 K I O ( ' J ( M M M » * » * I M f ( M ' - f - I M » - i S l K I ( M * - W M ( M f * i n * - f * N I M UJ O O »- VI UJ d & O M W O < l» K I « ^ r t « / « - » * K l N O N l * l l f l K 1 i n f ' l K « # C k * i N « B d ^ d d o ’ d d d d < v d « - ? d d d d d d d d d d d « # d d d o e -j Ul Ik < i n o i n g i A O i A t f i p i / i O Q v i t A O O M t f i v i i / i M o CS C t v p < v o < V ! / * < v F » O f v v ai o f V i v o u li F » F » n < f > j N > o <0'0ii,iiMOtfi0>iMini»i<-a4m*-^ ! A' 0»COOui l Mn^Nl ANqOCO^( 0»4<: OOn»Oi n»N4 N 4 tfNOniA<-*rQvKf-(MNr!9 ',f ,9 0 inNNN<« n 4 0 > K i n i A < * i A « < > o > i t i N i M i i | « o > i n o n N « « > ni i i n i Ai n a S i I/I U J VI V) S S u i S d 3 U4 S ©*V1*-'0KKlK'© M O- ^ - K- > *- -' 0 «- -o i i- i- f 4 - 4- 0 >- -i n «- -i p i- n- F- P- i ......................................... A > f « i A n o ....... o p 3 a * * * * - wmin«0>o<-<0iM4 rIV u i “ lh ftl N N IV © K S g g K S S g e g g K S S g R S g a S g g a S S S g g ' oi M^i nOl Ms TQ^O^ u - 5 U| »■ (M K I II • U M Ml AOa f l / l Nj a v KKI OF f t c i n K mm5>oi MNi nN«-NNui 4« VI Ul at a, j w 3 O. U i n O MI M' f i f f < VI ^Mt o«r«fN*>miA^co d odddodd^ o^o**' a O o d e o <0?U<>KI'0«0>NKIO> 0 0 0 0 0 0 4 0 0 0 vi O Q i A O i n m e i A e e n m o in i / i pg u? s. o oo n l M l / l N N O N V I I / l F t h e O3o«#oo3«or v' #«- ' * « N N A Kl <- 9> » i A74»n»Np70Na4nn4ki Ani n4nos « K i A * '* 0 » » NO* g j m< i 4 Ks i r t ^ F . » Oi f t i i i B' 0 ^ 5 i > * «4 NO^ i» n 9 i « 4 K 4 < ' « < I N i n ' O N i n 4 N 0 4 l B l A K I ' 0 0 « < 0 < l « 0 > IV VI VI 3 S m S i 3 <4 IV ^ «“ *> IV o O u> * «-> n 4 » MN 0 4 < 0 » a « f r ONO> U> t \ J O O O . - i n M ^ N . **«<«•— Nf^o*«*ococo*-F«.*-K.tn^fViv m K > i M o m « ) « * < o a ^4mi vmi no>a»i Vi AO>Ki Mf Oi vKi a l ) o n l o O> l n • l l > n 4 NOOl n » » « • » *- inN NV * - © NN» n *- ki * - C?£3p33vrj j f£IQS . U w « » »« — Mi/ >K^KI V0>K40i Oi Ai n i A4 44 ? ^ ! A4<9 K>KO>>N S 8 « R £ 8 5 B S 8 fc 5 R I 8 3 § 8 S 5S SSSRKSSSSl w o** • • r o * ** > o»* o * oT ki* 4*»- K444»( MNN S in j uj o> at ^ z uj < at at ot gi — — Cl ^ « M V Q & V VI < Ul — < « 2 x x ^ □ a u u u u R * S 8 8 8 S £ £ 35 S§ S i2 8 2 Si 3 S 5i ; ! S s ? * " u u o o S COUNTY POPULATION TAVERNS 8 CLUBS SALES REVENUES PERCENT PER PERCENT TAVERNS SALES SALES TAX TAX SALES TEAR 1983(1) SALES CHANGE TAVERNS SALES OF TOTAL CAPITA OF TOTAL Q1toQ2 8 CLUBS REVENUES SALES SALES SALES SALES TAX TAX TAX TAX OF TOTAL CAPITA OF TOTAL 8 CLUBS REVENUES PERCENT PER SALES PERCENT YEAR 19 8 3 (2 ) PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES YEAR 19 8 3 (3 ) GAATOIT * 0 ,4 * 8 1 7 ,*10 *7 4 ,9 7 5 0 .3 X * 1 1 .7 4 23.3X 1 8 ,9 2 0 * 7 3 ,0 0 0 O.SX * 1 1 .6 9 25.3X 8.7 X 1 8 ,9 9 9 * 7 4 ,9 7 5 0.2 X * 1 1 .7 * 25.4X HILLSDALE * 2 ,0 /1 18,67* 5 9 1 ,9 0 0 0.3 X * 1 4 .0 7 2 2 .9X 1 9 ,6 2 0 * 9 0 ,5 0 0 0.3 X * 1 1 .6 6 2 * . IX 5 . IX 2 3 ,6 7 6 5 9 1 ,9 0 0 O.SX * 1 4 .0 7 29.1X HOUGHTON 5 7 ,0 7 2 * 9 ,* 1 0 1 ,4 * 4 ,0 0 0 0 .7 X * 3 8 .1 3 2 3 .5X * 9 ,0 8 * 1 ,2 2 7 ,1 0 0 0 .7 X * 3 2 .4 0 23.4X -0 .7 X 5 7 ,7 6 0 1 ,4 * 4 ,0 0 0 0 .7 X * 3 8 .1 3 27.5X HURON 3 6 ,* 5 9 3 3 ,9 1 9 9 2 7 ,7 2 5 0 .5 X * 2 5 .4 5 2 * . IX 3 4 ,7 8 7 8 6 9 ,6 7 5 O.SX * 2 3 .8 5 24.7X 2.6% 3 7 ,1 0 9 9 2 7 ,7 2 5 0.5 X * 2 5 .4 5 26.4X 2 7 5 ,5 2 0 315,711 7 ,9 7 2 ,6 2 5 4 .6 X * 2 8 .9 * 24.6X 3 1 8 ,2 3 0 7 ,9 5 5 ,7 5 0 4 .2 X * 2 8 .8 8 24.6% O.BX 3 1 8 ,9 0 5 7 ,9 7 2 ,6 2 5 4 . IX * 2 8 .9 * 24.9X INGHAH IONIA 5 1 ,8 1 5 5 3 ,9 3 9 1 ,6 8 8 ,2 0 0 O.BX * 3 2 .5 8 21.9X 5 6 ,7 1 8 1 ,4 1 7 ,9 5 0 O.BX * 2 7 .3 7 2 3 .OX 5.2X 6 7 ,5 2 8 1 ,6 8 8 ,2 0 0 0.9 X * 3 2 .5 8 27.4X IOSCO 2 8 ,3 * 9 2 6 ,7 1 3 9 1 4 ,6 7 5 0.4X * 3 2 .2 6 2 2 . IX 2 9 ,3 0 0 7 3 2 ,5 0 0 0 .4 X 1 2 5 .8 * 24.2X 9.7X 3 6 ,5 8 7 9 1 4 ,6 7 5 O.SX * 3 2 .2 6 30.3X IRON 13,6 3 5 13 ,976 * 0 1 ,7 5 0 0.2 X * 2 9 .4 6 21 .*X 13,681 3 * 2 ,0 2 5 0.2 X * 2 5 .0 8 2 1 .OX -2 .1 X 1 6 ,0 7 0 * 0 1 ,7 5 0 0.2 X * 2 9 .4 6 24.6X ISABELLA 5 * .1 1 0 * * ,8 6 9 1 ,5 7 0 ,3 0 0 0.6X * 2 9 .0 2 20.6X * 8 ,9 0 6 1 ,2 2 2 ,6 5 0 0.6 X * 2 2 .6 0 22.4X 9 . OX 6 2 ,8 1 2 1 ,5 7 0 ,3 0 0 O.SX * 2 9 .0 2 28.8X 151,*95 112,325 3 ,1 6 6 ,7 2 5 1.6X * 2 0 .9 0 23.2X 1 2 4 ,7 2 0 3 ,1 1 8 ,0 0 0 1.7X * 2 0 .5 8 2 5 . 7X 11.0X 1 2 6 ,6 6 9 3 ,1 6 6 ,7 2 5 1.6X * 2 0 .9 0 2 6 . IX KALAMAZOO 2 1 2 ,3 7 8 1*7,785 3 ,6 9 9 ,6 2 5 2 . IX * 1 7 .4 2 2 3 .e x 153,171 3 ,8 2 9 ,2 7 5 2 .0 X * 1 8 .0 3 24.6% 3.6 X 1*7 ,9 8 5 3 ,6 9 9 ,6 2 5 1.9X * 1 7 .4 2 23.8X 10,9 5 2 6 ,3 7 7 3 * 1 ,8 5 0 0.1X *31 .2 1 17.2X 9 ,0 6 2 2 2 6 ,5 5 0 0.1X * 2 0 .6 9 24.4X * 2 . IX 13 ,6 7 * 3 4 1 ,8 5 0 0.2 X * 3 1 .2 1 36.9X * * * ,5 0 6 3 * 0 ,9 3 0 8 .3 6 1 ,9 7 5 4.9X *18 .8 1 24.5X 3 5 5 ,4 0 5 8 ,8 8 5 ,1 2 5 4.7 X * 1 9 .9 9 2S.5X 4.2 X 3 3 4 ,4 7 9 8 ,3 6 1 ,9 7 5 4 .3 X * 1 8 .8 1 24.0X JACKSON KALKASKA KENT KEUEENAU 1,9 6 3 1 ,8 0 7 5 9 ,3 2 5 O.OX * 3 0 .2 2 22.5X 2 ,2 1 3 5 5 ,3 2 5 O.OX * 2 8 .1 8 27.5X 22.5X 2 ,3 7 3 5 9 ,3 2 5 O.OX * 3 0 .2 2 29.5X LAKE 7,711 13,622 5 * 3 ,3 5 0 0.2X * 7 0 .4 6 1 8 . IX 1 7 ,7 7 9 * * * ,* 7 5 0.2 X * 5 7 .6 4 23.6% 30.5% 2 1 ,7 3 * 5 * 3 ,3 5 0 0 .3 X * 7 0 .4 6 2S.9X LAPEER 7 0 ,0 3 8 2 6 ,4 1 8 8 2 7 ,8 7 5 0.4 X * 1 1 .8 2 22.8X 2 7 ,9 8 3 6 9 9 ,5 7 5 O.XX * 9 .9 9 2 4 . IX 5.9X 3 3 ,1 1 5 8 2 7 ,8 7 5 0 .* X * 1 1 .8 2 28.6X LEELANAU 1*,Q 07 2 0 ,8 * 2 1 ,2 5 2 ,7 7 5 0.3X * 8 9 .4 * 1 6 .3X 3 0 ,0 * 6 7 5 1 ,1 5 0 0.4X * 5 3 .6 3 23.4X 44.2% 5 0 ,111 1 ,2 5 2 ,7 7 5 0 .6 X * 8 9 .4 4 39.1% 2 6 .OX 8 9 ,9 * 8 5 6 ,0 5 7 1 ,5 0 2 ,1 5 0 0.8X ( 1 6 .7 0 24.2X 5 2 ,6 8 3 1 ,3 1 7 ,0 7 5 0.7X * 1 4 .6 4 22.8% •6 .0 X 6 0 ,0 8 6 1 ,5 0 2 ,1 5 0 O.SX * 1 6 .7 0 LIV. 1 0 0 ,2 8 9 3 5 ,6 8 5 1 ,0 0 9 ,7 0 0 0 .5 X * 1 0 .0 7 2 3 .6X 3 8 ,7 6 5 9 6 9 ,1 2 5 0.5 X * 9 .6 6 25.6X 8.6 X * 0 ,3 8 8 1 ,0 0 9 ,7 0 0 0 .5 X * 1 0 .0 7 26.7X LUCE 6 ,6 5 9 3 ,7 7 6 121,725 0 .1 X * 1 8 .2 8 23.3X 4 ,3 9 2 1 0 9 ,8 0 0 0.1X * 1 6 .4 9 2 7 . IX 16.3X 4 ,8 6 9 121 ,7 2 5 0.1 X * 1 8 .2 8 3 0 .OX 51.2X LENAWEE 10.17B 8 ,1 0 * 1 ,0 2 2 ,0 5 0 0 .1 U 1 0 0 .4 2 1 0 .2X 1 9 ,2 0 3 * 8 0 ,0 7 5 O.SX * 4 7 .1 7 2 4 . IX 137.0X * 0 ,8 8 2 1 ,0 2 2 ,0 5 0 0.5X S100.42 6 9 * .6 0 0 57 9 ,7 5 2 1 5 ,7 1 5 ,2 2 5 8 .4 X * 2 2 .6 2 2 3 . IX 6 * 5 ,9 3 6 1 6 ,1 * 8 ,4 0 0 8.6 X * 2 3 .2 5 2 5 .7X 11.4% 6 2 8 ,6 0 9 1 5 ,7 1 5 ,2 2 5 8 . IX * 2 2 .6 2 2 5 .OX MANISTEE 2 3 ,0 1 9 3 2 ,0 9 2 1 ,1 2 6 ,8 2 5 O.SX * 4 8 .9 5 2 1 .3X 3 6 ,7 6 0 9 1 9 ,0 0 0 0.5 X * 3 9 .9 2 24.4X U .S X * 5 ,0 7 3 1 ,1 2 6 ,8 2 5 0 .6 X * 4 8 .9 5 29.9X MACKINAC MACOMB MARQUETTE 7*,101 5 7 ,9 7 6 1 ,8 2 0 ,4 5 0 0.8X * 2 4 .5 7 2 2 . IX 6 6 ,7 9 * 1 ,6 6 9 ,8 5 0 0.9 X * 2 2 .5 3 25.4X 15.2% 7 2 ,8 1 8 1 ,8 2 0 ,4 5 0 0 .9 X * 2 4 .5 7 27.7X MASON 2 6 ,3 6 5 2 4 ,3 2 5 9 3 7 ,8 2 5 0.4X * 3 5 .5 7 20.6X 2 8 ,0 0 2 7 0 0 ,0 5 0 0.4 X * 2 6 .5 5 23.7X 1S.1X 3 7 ,5 1 3 9 3 7 ,8 2 5 0 .5 X * 3 5 .5 7 31.8% MECOSTA 36 ,961 3 4 ,5 3 8 9 5 0 ,9 7 5 0.5X * 2 5 .7 3 23.6% 33 ,9 5 1 8 * 8 ,7 7 5 0.4X * 2 2 .9 6 23.2X -1 .7 X 3 8 ,0 3 9 9 5 0 ,9 7 5 0 .5 X * 2 5 .7 3 2 6 .OX MENOMINEE 2 6 ,2 0 1 2 2 ,5 5 7 6 7 2 ,5 7 5 O.SX * 2 5 .6 7 2 1 . IX 2 5 ,2 0 1 6 3 0 ,0 2 5 O.SX * 2 4 .0 5 23.5% 11.7X 2 6 ,9 0 3 6 7 2 ,5 7 5 O.SX * 2 5 .6 7 2 5 .IX HIDLANO 7 3 ,5 7 8 3 5 ,8 1 2 9 8 S .9 0 0 0 .5 X * 1 3 .4 0 2 3 .8X 3 6 ,7 8 * 9 1 9 ,6 0 0 0.5 X * 1 2 .5 0 24.5X 2.7X 3 9 ,4 3 6 9 8 5 ,9 0 0 O.SX * 1 3 .4 0 26.2X COUNTY POPULATION TAVERNS I CLU8S SALES REVENUES PERCENT PER PERCENT SALES SALES TAX TAX SALES YEAR 198 3 (1 ) MISSAUKEE MONROE MONTCALM MONTH. TAVERNS SALES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 01toQ 2 t CLU8S SALES SALES SALES SALES TAX TAX TAX TAX OF TOTAL CAPITA OF TOTAL 8 CLUBS REVENUES SALES YEAR 1 9 8 3 (2 ) SALES REVENUES PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES YEAR 1 98 3 (3 ) 1 0 ,0 0 9 6 ,0 1 6 4 2 4 ,4 7 5 0.1X * 4 2 .4 1 14.6% 8 ,1 4 3 2 0 3 ,5 7 5 0.1% * 2 0 .3 4 19.8% 35.4% 1 6 ,9 7 9 4 2 4 ,4 7 5 0.2% * 4 2 .4 1 1 3 4 ,6 5 9 7 8 ,2 6 2 2 ,1 8 6 ,0 2 5 1.1% * 1 6 .2 3 23.1% 9 0 ,7 5 2 2 ,2 6 8 ,8 0 0 1.2% * 1 6 .8 5 26.8% 16.0% 8 7 ,441 2 ,1 8 6 ,0 2 5 1.1% * 1 6 .2 3 25.8% * 7 ,5 5 5 3 2 ,1 5 6 9 5 9 ,8 7 5 0.5% * 2 0 .1 8 22.3% 3 7 ,2 3 2 9 3 0 ,8 0 0 0.5% * 1 9 .5 7 25.9% 15.8% 3 8 ,3 9 5 9 5 9 ,8 7 5 0.5% * 2 0 .1 8 26.7% 41.2% 7 ,* 9 2 7 ,8 2 9 2 7 9 ,7 7 5 0.1% * 3 7 .3 4 19.9% 9 ,1 5 0 2 2 8 ,7 5 0 0.1% * 3 0 .5 3 23.2% 16.9% 11,191 2 7 9 ,7 7 5 0.1% * 3 7 .3 4 28.4% MUSKEGON 1 5 7 ,5 8 9 10 9,246 2 ,6 6 9 ,0 2 5 1.6% * 1 6 .9 4 25.2% 108,3 8 4 2 ,7 0 9 ,6 0 0 1.4% * 1 7 .1 9 25.0% -0.8% 106,761 2 ,6 6 9 ,0 2 5 1.4% * 1 6 .9 4 24.6% NEUAYGO 3 4 ,9 1 7 15 ,898 64 3 ,2 2 5 0.2% * 1 8 .4 2 17.6% 2 2 ,1 8 5 5 5 4 ,6 2 5 0.3% * 1 5 .8 8 24.6% 39.5% 2 5 ,7 2 9 6 4 3 ,2 2 5 0.3% * 1 8 .4 2 28.5% OAKLAND 1 ,0 1 1 ,7 9 3 7 6 9 ,2 0 3 1 9 ,2 6 3 ,1 0 0 11.1% * 1 9 .0 4 23.9% 8 9 6 ,0 4 7 2 2 ,4 0 1 ,1 7 5 11.9% * 2 2 .1 4 27.9% 16.5% 7 7 0 ,5 2 4 1 9 ,2 6 3 ,1 0 0 9.9% * 1 9 .0 4 24.0% OCEANA 2 2 ,0 0 2 1 5 ,544 8 0 1 ,7 7 5 0.2% * 3 6 .4 4 17.3% 2 2 ,6 4 3 5 6 6 ,0 7 5 0.3% * 2 5 .7 3 25.2% 45.7% 32,071 8 0 1 ,7 7 5 0.4% * 3 6 .4 4 35.8% OGEHAU 1 6 ,4 3 6 8 ,9 3 5 4 0 2 ,2 0 0 0.1% * 2 4 .4 7 16.0% 1 4 ,0 4 6 3 5 1 ,1 5 0 0.2% * 2 1 .3 6 25.1% 57.2% 16,0 8 8 4 0 2 ,2 0 0 0.2% * 2 4 .4 7 28.7% 9 ,8 6 1 13,171 3 8 0 ,6 2 5 0.2% * 3 8 .6 0 24.4% 1 3 ,0 8 9 3 2 7 ,2 2 5 0.2% * 3 3 .1 8 24.2% -0.6% 15,2 2 5 3 8 0 ,6 2 5 0.2% * 3 8 .6 0 28.2% 1 8 ,9 2 8 10,335 3 4 9,175 0.1% * 1 8 .4 5 20.8% 13,001 3 2 5 ,0 2 5 0.2% * 1 7 .1 7 26.2% 25.8% 1 3 ,9 6 7 349 ,1 7 5 0.2% * 1 8 .4 5 28.1% 27.7% ONTONAGON OSCEOLA OSCODA 6 ,8 5 8 5 ,6 3 5 183,225 0.1% * 2 6 .7 2 21.3% 6 ,4 4 2 161 ,0 5 0 0.1% * 2 3 .4 8 24.3% 14.3% 7 ,3 2 9 183,225 0.1% * 2 6 .7 2 OTSEGO 14,9 9 3 1 0 ,1 2 7 3 7 2 ,1 2 5 0.1% * 2 4 .8 2 20.0% 12,131 3 0 3 ,2 7 5 0.2% * 2 0 .2 3 23.9% 19.8% 14,885 3 7 2 ,1 2 5 0.2% * 2 4 .8 2 29.3% OTTAWA 157,174 5 9 ,2 8 0 1 ,9 2 9 ,9 2 5 0.9% * 1 2 .2 8 22.5% 6 2 ,0 5 9 1 ,5 5 1 ,4 7 5 0.8% 23.6% 4.7 X 7 7 ,1 9 7 1 ,9 2 9 ,9 2 5 1.0% * 1 2 .2 8 29.3X PRES. IS . 1 4 ,2 6 7 1 5 ,988 5 1 4 ,2 2 5 0.2% * 3 6 .0 4 22.1% 1 6 ,6 9 8 4 1 7 .4 5 0 0.2% * 2 9 .2 6 23.1% 4.4% 2 0 ,5 6 9 5 1 4 ,2 2 5 0.3% * 3 6 .0 4 28.5% ROSCOMMON 16,374 19 ,536 8 7 3 ,1 5 0 0.3% * 5 3 .3 3 18.4% 2 3 ,0 1 6 5 7 5 ,4 0 0 0.3% * 3 5 .1 4 21.7X 17.6% 3 4 ,9 2 6 8 7 3 ,1 5 0 0.4% * 5 3 .3 3 32.9% SAGINAW 2 2 8 ,0 5 9 1 6 9 ,6 4 7 4 ,6 9 7 ,2 2 5 2.4% * 2 0 .6 0 22.6% 199,6 8 5 4 ,9 9 2 ,1 2 5 2.6 X * 2 1 .8 9 26.6% 187 ,8 8 9 4 ,6 9 7 ,2 2 5 ST. 1 3 8 .8 0 2 1 0 3 ,2 9 2 3 ,2 0 8 ,6 7 5 1 .5 % * 2 3 . 1 2 2 2 . 8X 1 1 3 ,6 7 9 2 ,8 4 1 ,9 7 5 1 .5 % * 2 0 . 4 8 2 5 .0 % 17.7% 10.1% 1 2 8 ,3 4 7 3 ,2 0 8 ,6 7 5 2 .4 X * 2 0 .6 0 1.6% * 2 3 .1 2 28.3% CLAIR * 9 .8 7 25.0% ST.JOSEPH 5 6 ,0 8 3 6 7 ,3 6 6 2 .3 1 0 .8 5 0 1.0% * 4 1 .2 0 21.0% 8 2 ,8 6 6 2 .0 7 1 .6 5 0 1.1% * 3 6 .9 4 25.8% 23.0% 9 2 .4 3 4 2 .3 1 0 .8 5 0 1.2% * 4 1 .2 0 28.8% SANILAC * 0 ,7 8 9 2 3 ,6 3 6 6 1 1 ,5 5 0 0.3X * 1 9 .9 0 2 7 ,0 0 5 9 ,0 6 2 6 7 5 ,1 2 5 2 2 6 ,5 5 0 0.4% * 1 6 .5 5 O .IX * 2 6 .4 2 23.7X 24.6% 14.3% 15.0% 3 2 ,4 6 2 10,0 3 8 8 1 1 ,5 5 0 2 5 0 ,9 5 0 0.4 X ( 1 9 .9 0 28.5X 27.3X 8 ,5 7 5 7 ,8 7 9 2 5 0 ,9 5 0 0 .1 % * 2 9 . 2 7 20.7X 21.4% SNIAWASSE 7 1 ,1 4 0 4 4 .8 7 4 1 .1 4 0 .5 0 0 0.6% * 1 6 .0 3 24.0% 4 7 ,6 2 8 1 ,1 9 0 .7 0 0 0.6% * 1 6 .7 4 25.5% 6.1% 4 5 .6 2 0 1 .1 4 0 .5 0 0 0.6% * 1 6 .0 3 24.4% TUSCOLA 56,961 3 7 ,0 3 3 1 ,0 8 5 ,3 2 5 0.5% * 1 9 .0 5 22.8% 3 8 ,4 1 8 9 6 0 ,4 5 0 0.5X * 1 6 .8 6 23.6X 3.7% 4 3 ,4 1 3 1 ,0 8 5 ,3 2 5 26.7X VAN BOREN 6 6 ,8 1 4 43,2 8 1 1 ,4 9 3 ,9 7 5 0.6% * 2 2 .3 6 21.2% 4 9 ,8 7 4 1 ,2 4 6 ,8 5 0 0.7 X * 1 8 .6 6 24.4% 15.2% 5 9 ,7 5 9 1 ,4 9 3 ,9 7 5 0.6% * 1 9 .0 5 O.SX * 2 2 .3 6 WASHTENAW 26 4 ,7 4 8 159,832 4 ,3 4 6 ,5 0 0 2.3% * 1 6 .4 2 24.0% 1 6 0 ,3 1 8 4 ,0 0 7 ,9 5 0 2.1% * 1 5 .1 4 24.1% 0.3% 173,860 4 ,3 4 6 ,5 0 0 2.2% * 1 6 .4 2 2 6 . IX 2 ,3 3 7 ,8 9 1 1 ,6 4 0 ,9 0 0 24.7% 1 .7 0 0 ,8 6 2 SCH CRFT. WAYNE WEXFORD OUT/STATE 2 5 .1 0 2 0.1% * 2 9 .2 7 29.3% 4 1 ,1 3 4 ,8 7 5 23.7% * 1 7 .5 9 4 2 ,5 2 1 ,5 5 0 22.5% * 1 8 .1 9 25.6% 3.7X1 ,6 4 5 ,3 9 5 4 1 ,1 3 4 ,8 7 5 21.1% * 1 7 .5 9 24.7% 2 3 ,8 8 8 7 2 3 ,1 0 0 0.3% * 2 8 .8 1 22.4% 2 4 ,4 3 3 6 1 0 ,8 2 5 0.3% * 2 4 .3 3 22.9% 2.3% 2 8 ,9 2 4 7 2 3 ,1 0 0 0.4% * 2 8 .8 1 27.2% 3 1 ,6 0 9 8 5 3 ,2 0 0 0.5% 23.0% 3 3 ,7 1 1 8 4 2 ,7 7 5 0.4% 24.6% 6.7% 3 4 ,1 2 8 8 5 3 ,2 0 0 0.4% 24.9% COUNTY POPULATION TAVERNS MLES PERCENT PER MLES MLES TAX TAX MLES YEAR 8 3 ,1 7 9 MLES REVENUES PERCENT PER PERCENT 2 ,3 4 1 ,5 6 1 100.0X TAVERNS MLES PERCENT t CLUBS REVENUES SALES MLES MLES SALES TAX TAX TAX TAX SALES YEAR 9 0 ,5 6 2 PER PERCENT OF TOTAL CAPITA O f TOTAL BALES YEAR 1 9 8 3 (3 ) 23.2X 7 ,5 5 0 ,3 8 1 1 8 8 ,7 5 9 ,5 2 5 $ 2 0 .9 8 CHANGE OF TOTAL CAPITA OF TOTAL Q1toQ2 1 9 8 3 (2 ) 9 ,2 6 2 ,0 7 8 6 ,9 3 3 ,4 3 7 1 7 3 ,3 8 5 ,9 2 5 COUNTY TV 111,591 TAVERNS OF TOTAL CAPITA OF TOTAL I CLUBS 1 9 8 3 (1 ) TOTAL PERCENT A CLUBS REVENUES 2 ,2 6 4 ,0 5 7 100.0X 2S.3X S 2 0 .2 9 8 .9 X 7 ,8 0 8 ,1 1 1 1 9 5 ,2 0 2 ,7 7 5 9 3 ,6 6 2 2 ,3 4 1 ,5 6 1 100.0X 26.2X S 2 0 .9 8 •OUT/STATE F ig u r e s Not I n c lu d e d I n A verag e* ^ •ERR I n d i c a t e s D i v is io n b y Z e ro UT cn COUNTY CHANGE TAVERNS SALES D2toQ3 t CLUBS REVENUES PERCENT PER PERCENT CHANGE TOTAL TOTAL TAVERNS SALES OF TOTAL CAPITA OF TOTAL Q 3to04 SALES SALES 8 CLUBS REVENUES REVENUES SALES SALES TAX TAX SALES SALES TAX TAX SALES YEAR TAX 1983 1983 1983(A ) PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 83(1>T0 I CLUBS SALES YEAR 8 4 (1 ) SALES REVENUES SALES TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) ALCONA 59.6X 1 6 .5 2 6 4 1 3 ,1 5 0 0.2X S 4 2 .4 2 2 8 .OX -2 0 .5 X 5 8 ,961 1 ,7 7 7 ,4 2 5 10,161 2 5 4 ,0 2 5 0.1 X $ 2 6 .0 8 13.9X 17.6X 1 7 ,1 6 8 ALGER AS .AX 2 7 ,6 1 6 69 0 ,4 0 0 0.4X S 7 4 .8 4 2S.4X -2 5 .4 X 108 ,6 9 5 3 ,1 7 8 ,5 2 5 1 7 ,4 2 8 4 3 5 ,7 0 0 0.2 X $ 4 7 .2 3 19.5X -6 .2 X 2 0 ,5 2 3 513 ,0 7 5 ALLEGAN 3 2 . IX 5 9 ,5 0 8 1 ,4 8 7 ,7 0 0 O.SX S 1 8 .2 4 2 0 . IX -42.ex 2 9 5 ,5 6 7 8 ,6 6 0 ,5 7 5 5 3 ,0 6 2 1 ,3 2 6 ,5 5 0 0.7 X $ 1 6 .2 7 1 6 .OX -O.SX 7 9 ,4 9 4 1 ,9 8 7 ,3 5 0 8 0 2 ,7 7 5 4 2 9 ,2 0 0 ALPENA -A.8X 2 7 ,8 5 7 6 9 6 ,4 2 5 0.4X $ 2 1 .5 5 25.3X 0.3X 110 ,1 2 3 2 ,8 1 3 ,3 7 5 2 8 ,8 1 3 7 2 0 ,3 2 5 0.4 X $ 2 2 .2 9 22.8X 13.7X 3 2 ,111 AHTRIH 53.6X 19,8 1 3 4 9 5 ,3 2 5 0.3X $ 3 0 .5 9 19.8X -3 5 .6 X 100,141 2 ,5 3 5 ,0 2 5 1 8 ,4 5 3 4 6 1 ,3 2 5 0.2 X $ 2 8 .4 9 2 0 . IX -3 7 .5 X 2 1 ,8 8 7 5 4 7 ,1 7 5 ARENAC 2 2 .OX 2 1 ,5 2 6 5 3 8 ,1 5 0 0 .3 X $ 3 6 .5 9 2 5 .3X -1 7 .7 X 8 5 ,0 9 1 2 ,3 8 1 ,0 0 0 1 7 ,7 2 2 4 4 3 ,0 5 0 0.2 X $ 3 0 .1 3 20.6X io.ex 2 2 ,0 4 0 5 5 1 ,0 0 0 BARAGA 11.1X 6 ,0 3 1 150,775 0.1X $ 1 7 .7 7 2 5 .4X - 1 0 . 8X 2 3 ,7 1 8 6 4 0 .9 5 0 5 ,5 4 2 1 3 8 ,5 5 0 0.1 X $ 1 6 .3 3 2 2 . IX 14.5X 6 ,6 4 9 1 66,225 BARRY 1A.OX 1 9 ,0 8 6 4 7 7 ,1 5 0 0.3X $ 1 0 .4 2 2 1 .9X - 2 5 . 7X 8 7 ,2 3 9 2 ,3 2 6 ,0 5 0 1 9 ,4 6 2 4 8 6 ,5 5 0 O.SX $ 1 0 .6 3 22.8X -2 .2 X 2 0 ,9 2 6 5 2 3 ,1 5 0 2 ,7 0 8 ,4 2 5 0.6X 1 0 2 ,572 2 ,5 6 4 ,3 0 0 1.4X $ 2 1 .3 9 24.5X -4 .OX 4 1 8 ,8 6 2 1 0 ,5 6 0 ,3 7 5 102,035 2 ,5 5 0 ,8 7 5 1.3X $ 2 1 .2 8 24.6X -1 .2 X 1 0 8 ,3 3 7 BENZIE AT.IX 6 ,9 6 4 174,100 0.1X $ 1 5 .5 4 2 3 . IX - 3 5 . 8X 3 0 ,0 8 4 9 0 8 ,8 0 0 4,9 8 1 124 ,5 2 5 0.1 X $ 1 1 .1 1 1 4 .IX 8.7X 9 ,2 0 2 2 3 0 ,0 5 0 BERRIEN 16.2X 1 5 3 ,58A 3 ,8 3 9 ,6 0 0 2 . OX $ 2 2 .4 2 2 5 .OX - 1 5 .6X 6 1 5 ,1 2 6 1 6 ,8 5 5 ,6 2 5 152,324 3 ,8 0 8 ,1 0 0 2 . OX $ 2 2 .2 3 20.9X 23.9X 1 8 8 ,7 3 9 4 ,7 1 8 ,4 7 5 BRANCH 1 1 ./X 2A .979 62 4 ,4 7 5 0.3X $ 1 5 .5 4 2 7 . IX 2 . OX 9 2 ,1 5 9 2 ,3 9 6 ,7 7 5 22 ,745 5 6 8 ,6 2 5 0.3 X $ 1 4 .1 5 22.6X 9.5X 2 6 ,9 0 5 6 7 2 ,6 2 5 CALHOUN -0 .2 X 9 3 ,4 9 8 2 ,3 3 7 ,4 5 0 1.2X $ 1 6 .5 1 25.5X 2.6X 3 6 6 ,1 9 3 9 ,1 7 8 ,0 2 5 9 5 ,5 6 2 2 ,3 8 9 ,0 5 0 1.3X $ 1 6 .8 8 2 4 . IX 5.9X 9 7 ,8 9 9 2 ,4 4 7 ,4 7 5 CASS 31.7X 4 6 ,3 5 8 1 ,1 5 8 ,9 5 0 0.6X $23 .4 1 2 3 .9X -2 7 .3 X 193,7 4 2 5 ,5 5 8 ,8 2 5 4 1 ,5 4 4 1 ,0 3 8 ,6 0 0 O.SX $ 2 0 .9 8 2 1 .5X 1 8 .IX 5 5 ,7 6 6 1 ,3 9 4 ,1 5 0 CHARLVX. S9.3X 14,171 3 5 4 ,2 7 5 0.2X $ 1 7 .8 0 2 2 . 7X - 4 1 .3X 6 2 ,4 8 6 1 ,9 3 8 ,8 2 5 12,111 3 0 2 ,7 7 5 0 .2 X $ 1 5 .2 1 13.6X 33.6X 2 2 ,0 9 2 5 5 2 ,3 0 0 CHEBOYGAN 2 2 .ZX 2 0 ,6 2 2 5 1 5 ,5 5 0 O.SX $ 2 4 .9 7 2 1 .8X - 3 1 . 6X 9 4 ,5 6 4 2 ,6 3 7 ,4 7 5 1 8 ,9 4 2 4 7 3 ,5 5 0 O.SX $ 2 2 .9 3 2 2 .OX -1 .4 X 2 2 ,3 1 0 5 5 7 ,7 5 0 CHIPPEWA 11.5X 3 6 ,3 3 3 9 0 8 ,3 2 5 0.5X $ 3 1 .2 9 24.8X -1 2 .2 X 146,5 7 3 3 ,9 0 6 ,1 2 5 2 9 ,6 8 7 742 ,1 7 5 0 .4 X $ 2 5 .5 7 2 0 . IX -6 .4 X 36,601 9 1 5 ,0 2 5 BAY 18.7X 2 8 ,7 8 9 7 1 9 ,7 2 5 0.4X $30 .2 1 2 9 .OX 4.6X 9 9 ,3 0 3 2 ,6 7 4 ,8 2 5 2 2 ,9 9 8 5 7 4 ,9 5 0 0 .3 X $ 2 4 .1 4 22.2X 1 6 .OX 25,441 6 3 6 ,0 2 5 CLINTON -1A.7X 3 8 ,8 2 9 9 7 0 ,7 2 5 0.5X $ 1 7 .3 7 24.6X 12.2X 158,0 4 3 3 ,7 1 6 ,4 5 0 3 7 ,2 9 2 9 3 2 ,3 0 0 0 .5 X $ 1 6 .6 8 2S.6X -1 5 .2 X 3 6 ,4 6 2 9 1 1 ,5 5 0 CRAWFORD A2.1X 1 3 ,7 9 7 3 4 4 ,9 2 5 0.2X $ 3 6 .4 4 2 3 .OX - 3 2 . BX 6 0 ,1 0 4 1 ,7 3 2 ,9 0 0 11,5 3 5 2 8 8 ,3 7 5 0.2 X $ 3 0 .4 7 17.3X 1.9X 16,655 4 1 6 ,3 7 5 6.9X 5 4 ,3 7 7 1 ,3 5 9 ,4 2 5 0.7X $ 3 4 .9 0 26.9X 1.8X 202,021 5 ,2 7 7 ,9 7 5 5 1 ,1 8 6 1 ,2 7 9 ,6 5 0 0 .7 X $ 3 2 .8 6 23.3X 15.5X 5 3 ,1 5 9 1 ,3 2 8 ,9 7 5 CLARE DELTA A.7X 3 1 ,5 4 6 7 8 8 ,6 5 0 0.4X $ 3 1 .1 2 29.5X 1 3 .SX 107,0 8 2 2 ,8 4 1 ,7 0 0 2 9 ,4 1 3 735 ,3 2 5 0.4X $ 2 9 .0 2 2 2 .OX 38.7X 3 4 ,4 2 9 8 6 0 ,7 2 5 EATON -1.AX 4 7 ,3 2 7 1 ,1 8 3 ,1 7 5 0.6X $ 1 3 .3 9 26.ax 8.2 X 176,432 4 ,4 7 8 ,8 0 0 4 8 ,9 4 6 1 ,2 2 3 ,6 5 0 0.6 X $ 1 3 .8 5 24.7X 19.4X 4 8 ,7 7 5 1 ,2 1 9 ,3 7 5 EMMET 9 6 .OX 5 3 ,0 5 2 1 ,3 2 6 ,3 0 0 0 .7 X $ 5 7 .6 9 2 0 .BX - 4 9 . 9X 2 5 5 ,5 3 4 7 ,9 7 3 ,5 7 5 4 5 ,831 1 ,1 4 5 ,7 7 5 0.6X $ 4 9 .8 3 1 7 .5X 7 .ex 5 6 ,0 4 6 1 ,4 0 1 ,1 5 0 3 . OX 3 7 5 ,3 5 7 9 ,3 8 3 ,9 2 5 5 . OX $ 2 0 .8 3 2 7 .OX 8.8X 1 ,3 9 2 ,3 2 6 3 5 ,0 1 4 ,4 5 0 3 7 8 ,3 5 9 9 ,4 5 8 ,9 7 5 5 . OX $ 2 1 .0 0 25.ex 12.3X 3 6 8 ,7 4 9 9 ,2 1 8 ,7 2 5 3 7 0 ,1 5 0 DICKINSON GENESSE GLADWIN 23 .AX 1 4 ,8 5 8 3 7 1 ,4 5 0 0 .2 X $18 .6 1 26.8X -8 .6 X 5 5 ,4 2 2 1 ,5 1 3 ,5 2 5 12,831 3 2 0 ,7 7 5 0.2X $ 1 6 .0 7 2 1 . IX 15.2X 14 ,8 0 6 GOGEBIC 16.7X 2 3 ,2 8 5 5 8 2 ,1 2 5 0.3X $ 2 9 .5 7 2 5 . IX -5 .4 X 9 2 ,5 9 1 2 ,3 3 9 ,5 0 0 23,631 5 9 0 ,7 7 5 O.SX $ 3 0 .0 1 26.6X 0.1X 2 0 ,4 8 7 5 1 2 ,1 7 5 GR. TRAV. 27.8X 6 2 ,8 5 6 1 ,5 7 1 ,4 0 0 O.BX $ 2 8 .6 2 23.7X -2 0 .5 X 2 6 4 ,6 6 2 7 ,0 7 1 ,7 5 0 6 1 ,2 5 2 1 ,5 3 1 ,3 0 0 O.SX $ 2 7 .8 9 2 1 .3X 0.6X 6 6 ,2 1 4 1 ,6 5 S ,3 5 0 COUNTY CHANGE TAVERNS SALES Q2toQ3 t CLUBS REVENUES PERCENT PER PERCENT CHANGE TOTAL TOTAL TAVERNS SALES OF TOTAL CAPITA OF TOTAL Q3toQ4 SALES SALES 8 CLUBS REVENUES SALES SALES REVENUES SALES SALES TAX TAX TAX TAX SALES YEAR TAX 1983 1983 1983(4) GRATOIT PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 83(1)TO 8 CLUBS SALES YEAR 8 4 (1 ) SALES REVENUES SALES TAX 19 8 4 (1 ) 19 8 4 (2 ) 0.4X 1 9 ,3 6 9 4 8 4 ,2 2 5 0 .3 * $ 1 1 .9 7 2 5 .9 * 1 .9 * 7 4 ,6 9 8 1 ,9 0 7 ,1 7 5 2 1 ,9 3 8 5 4 8 ,4 5 0 O.SX $ 1 3 .5 6 24.2X 2 6 . OX 2 2 ,7 3 8 HILLSDALE 20.7X 1 9 .4 6 6 4 8 6 ,6 5 0 0.3X * 1 1 .5 7 2 3 .9 * -1 7 .8 X 8 1 ,4 3 6 2 ,1 6 0 .9 5 0 2 0 .2 9 6 5 0 7 ,4 0 0 O.SX $ 1 2 .0 6 23.4X 8 .7 X 2 0 ,6 8 4 5 1 7 ,1 0 0 HOUGHTON 17.7X 33,631 1 ,3 4 0 ,7 7 5 0.7X S 3 5 .4 0 2S.6X - 7 . IX 2 0 9 ,8 8 5 5 ,4 5 5 ,8 7 5 - 5 .9 * 1 ,1 5 5 ,6 2 5 7 4 9 ,5 5 0 0 .6 X $ 3 0 .5 1 0.4% $ 2 0 .5 6 2 5 .4X 2 3 .2 * -6 .4 X - 1 1 .6 * 4 5 ,4 3 0 3 0 ,6 7 8 1 ,1 3 5 ,7 5 0 7 6 6 ,9 5 0 5 6 8 ,4 5 0 HURON 6.7 X 3 4 ,9 0 3 87 2 ,5 7 5 0 .5 * $ 2 3 .9 3 2 4 .8 * 1 4 0 ,7 1 8 3 ,5 9 7 ,7 0 0 4 6 ,2 2 5 2 9 ,9 8 2 INGHAM 0.2X 33 0 ,2 8 2 8 ,2 5 7 ,0 5 0 4.4X * 2 9 .9 7 25.7X 3.6X 1 ,2 8 3 ,1 2 8 3 2 ,1 5 8 ,0 5 0 3 3 3 .5 7 9 8 ,3 3 9 .4 7 5 4.4% $ 3 0 .2 7 2 4 .9 * 5.7 X 3 2 7 .3 2 9 8 .1 8 3 .2 2 5 IONIA 1 9 . IX 6 8 ,6 1 7 1 ,7 1 5 ,4 2 5 24.9% 2 8 ,3 1 6 7 0 7 ,9 0 0 27.8X 2 3 .4 * 1.6X IOSCO 0.9X $33 .1 1 0 .4 * $ 2 4 .9 7 6 ,5 0 9 ,7 7 5 3 ,2 6 9 .7 5 0 6 7 ,9 3 3 3 3 ,7 5 9 1 ,6 9 8 ,3 2 5 6 4 3 ,9 7 5 0.9X $ 3 2 .7 8 0 .4 * $ 2 9 .7 7 38.5X 2 7 .1 * 25.9X 26.4X 3 6 ,5 2 0 2 9 ,1 0 0 9 1 3 ,0 0 0 7 2 7 ,5 0 0 IRON 17.5X 28.4X 2 1 ,4 9 6 5 3 7 ,4 0 0 0.3X $39.41 3 3 .OX 3 3 . BX 6 5 .2 2 3 1 ,6 8 2 ,9 2 5 14.6 4 3 3 6 6 .0 7 5 0.2% $ 2 6 .8 5 24.6% 4.8 X 1 4 .548 3 6 3 .7 0 0 6 1 ,5 7 3 1 ,5 3 9 ,3 2 5 0.8X $ 2 8 .4 5 28.2X -2 .0 X 2 1 8 ,1 6 0 4 9 ,5 9 6 115,924 1 ,2 3 9 ,9 0 0 2 ,8 9 8 ,1 0 0 0.7 X $ 2 2 .9 1 1.5% $ 1 9 .1 3 2 4 . IX 24 .3X 10.5X 3 .2 * 5 1 ,0 4 9 126,6 5 7 1 ,2 7 6 ,2 2 5 3 ,1 6 6 ,4 2 5 4 ,0 9 8 .4 5 0 ISABELLA -2 2 .6 * 2 4 6 ,8 0 2 120 ,9 1 6 1.6% 1 2 0 ,7 9 4 3 .0 1 9 ,8 5 0 1 .6 * $ 1 9 .9 3 2 4 .9 * - 4 .6 * 4 8 4 ,5 0 8 5 ,9 0 2 ,5 7 5 1 2 ,4 7 1 ,3 0 0 KALAMAZOO KALKASKA -3 .4 X 5 0 .9 * 1 7 2 ,997 7 ,9 5 9 4 ,3 2 4 ,9 2 5 198,975 2.3X $ 2 0 .3 6 1 6 .9 * 6 2 1 ,9 3 8 3 7 ,0 7 2 1 5 ,5 5 3 ,4 5 0 1 ,1 0 9 ,2 2 5 161,944 6 ,6 9 3 4 ,0 4 8 .6 0 0 2.1% $ 1 9 .0 6 2 5 .2 * 9.6 X 163 ,9 3 8 0.1X $ 1 8 .1 7 27.8X 2 1 .5 * 167,325 0.1% $ 1 5 .2 8 19.2% 5 . OX 9 ,3 2 8 2 3 3 ,2 0 0 KENT -5 .9 X 3 6 3 ,5 3 0 9 ,0 8 8 ,2 5 0 4 .8 X $ 2 0 .4 5 2 6 . IX 8.7X 1 ,3 9 4 ,3 4 4 3 4 ,6 9 7 ,3 2 5 3 7 1 ,2 5 2 9 ,2 8 1 ,3 0 0 4.9% $ 2 0 .8 8 25.6X B.9X 3 5 2 ,8 3 8 8 ,8 2 0 ,9 5 0 JACKSON - 4 1 . 8X 7 .2 * 1,6 5 2 4 1 ,3 0 0 O.OX $ 2 1 .0 4 2 0 .5X - 3 0 .4 * 8 ,0 4 5 215 .2 7 5 1 ,6 5 0 4 1 ,2 5 0 O.OX $ 2 1.01 21 .OX -8 .7 X 2,0 2 1 5 0 ,5 2 5 22.2X 2 2 ,1 5 0 5 5 3 ,7 5 0 0.3X $71.81 29.4X 1.9X 7 5 ,2 8 5 2 ,0 8 4 ,9 2 5 16,725 4 1 8 ,1 2 5 0.2% $ 5 4 .2 2 19.4X 22.8X 20,751 5 1 8 ,7 7 5 LAPEER 18.3X 2 8 ,405 7 1 0 ,125 0.4X $ 1 0 .1 4 24.5X - 1 4 . 2X 115,921 3 ,0 6 5 ,4 5 0 3 7 ,5 5 9 9 3 8 ,9 7 5 O.SX $13 .4 1 24.7X 42 .2 X 3 8 ,1 5 2 9 5 3 ,8 0 0 LEELANAU 6 6 .8X 2 7 ,2 4 6 6 8 1 ,1 5 0 0.4X $ 4 8 .6 3 2 1 .2 * - 4 5 .6 * 128,245 3 ,9 3 7 ,8 5 0 1 1 ,1 3 7 2 7 8 ,4 2 5 0.1% $ 1 9 .8 8 15.5X -4 6 .6 X 1 6 ,443 4 1 1 ,0 7 5 LENAWEE 14.1X 6 2 ,7 0 4 1 ,5 6 7 ,6 0 0 0.8X $ 1 7 .4 3 2 7 . IX 4.4 X 2 3 1 ,5 3 0 5 ,8 8 8 ,9 7 5 6 9 ,6 3 2 1 ,7 4 0 ,8 0 0 0.9% $ 1 9 .3 5 2 4 .OX 24.2X 7 1 ,9 1 2 1 ,7 9 7 ,8 0 0 LIV. 4 .2 * 36,351 9 0 8 ,7 7 5 0 .5 X $ 9 .0 6 2 4 .OX -1 0 .0 X 1 5 1 ,1 8 9 3 ,8 9 7 ,3 0 0 3 7 ,3 1 6 9 3 2 ,9 0 0 0.5% $ 9 .3 0 22.4X 4.6 X 4 2 ,4 0 5 1 ,0 6 0 ,1 2 5 LUCE 10.9X 3 ,1 7 2 7 9 .3 0 0 O.OX $1 1.91 19.6X -3 4 .9 X 1 6 ,2 0 9 4 3 2 ,5 5 0 3 ,4 1 4 8 5 ,3 5 0 O.OX $ 1 2 .8 2 21.6X -9 .6 X 3 ,5 3 1 8 8 ,2 7 5 1 1 2 .9 * 11,6 2 9 2 9 0 ,7 2 5 0 .2 X * 2 8 .5 6 1 4 .6 * - 7 1 . 6X 7 9 ,8 1 8 2 ,8 1 4 ,9 0 0 7 ,2 6 7 181,675 0.1 X $ 1 7 .8 5 7.5X -1 0 .3 X 2 2 ,6 0 5 5 6 5 ,1 2 5 MACOMB -2 .7 X 6 5 6 ,5 1 4 1 6 ,4 1 2 ,8 5 0 8 .7 X $ 2 3 .6 3 2 6 . IX 4 .4 X 2 ,5 1 0 ,8 1 1 6 3 ,9 9 1 ,7 0 0 6 6 3 ,2 7 4 1 6 ,5 8 1 ,8 5 0 8.8 X $ 2 3 .8 7 23.5X 1 4 .4 * 724,7 6 2 1 8 ,1 1 9 ,0 5 0 MANISTEE 22.6X 3 6 ,9 1 4 9 2 2 ,8 5 0 0.5X $ 4 0 .0 9 24.5X - 1 8 . IX 1 5 0 ,8 3 9 4 ,0 9 5 ,5 0 0 29,1 4 1 7 2 8 ,5 2 5 0.4X $ 3 1 .6 5 20.7X -9 .2 X 3 6 ,7 4 0 9 1 8 ,5 0 0 9 . OX 6 5 ,1 2 7 1 ,6 2 8 ,1 7 5 0 .9 X $ 2 1 .9 7 2 4 .8 * -1 0 .6 X 2 6 2 ,7 1 5 6 ,9 3 8 ,9 2 5 5 8 ,6 0 4 1 ,4 6 5 ,1 0 0 O.SX $ 1 9 .7 7 23.6X 1 .1 * 5 8 ,1 2 3 1 ,4 5 3 ,0 7 5 MASON 3 4 .OX 2 8 ,1 1 6 7 0 2 ,9 0 0 0 .4 X $ 2 6 .6 6 23 . ax - 2 5 . OX 117 ,9 5 6 3 ,2 7 8 ,6 0 0 2 4 ,3 7 4 6 0 9 ,3 5 0 0.3X $ 2 3.11 21 .ax 0.2 X 2 7 ,2 7 7 6 8 1 ,9 2 5 MECOSTA 1 2 .OX 3 9 ,8 4 4 9 9 6 ,1 0 0 0 .5 X $ 2 6 .9 5 27.2X 4.7X 146 ,3 7 2 3 ,7 4 6 ,8 2 5 3 7 ,5 4 4 9 3 8 ,6 0 0 0.5 X $ 2 5 .3 9 23.7X 8.7 X 3 5,9 6 1 8 9 9 ,0 2 5 MENOMINEE 6.8X 3 2 ,4 4 2 8 1 1 ,0 5 0 0.4X $ 3 0 .9 5 30.3X 20.6% 107 ,1 0 3 2 ,7 8 6 ,2 2 5 2 9 ,5 9 5 7 3 9 ,8 7 5 0.4 X $ 2 8 .2 4 22.6X 31 .2 X 3 2 ,5 1 2 8 1 2 ,8 0 0 MIDLAND 7.2X 3 8 ,3 4 6 9 5 8 ,6 5 0 0.5 X $ 1 3 .0 3 25.5X •2 .8 X 1 5 0 ,3 7 8 3 ,8 5 0 ,0 5 0 3 8 ,8 5 2 9 7 1 ,3 0 0 0.5 X $ 1 3 .2 0 24.6X 8.5 X 4 2 ,1 8 8 1 ,0 5 4 ,7 0 0 KEWEENAW LAKE MACKINAC MARQUETTE COUNTY CHANGE TAVERNS CHANGE TOTAL TOTAL TAVERNS B2toQ3 X CLUBS REVENUES SALES OF TOTAL CAPITA OF TOTAL Q3toQ4 SALES PERCENT PER SALES X CLUBS SALES SALES REVENUES SALES SALES TAX TAX TAX TAX SALES PERCENT YEAR TAX 1983 1983 198 3 (4 ) MISSAUKEE MONROE MONTCALM SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL B 3(1)T 0 X CLUBS MLES YEAR 8 4 (1 ) SALES REVENUES MLES TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) 108.5X 1 0 ,034 2S 0 .8 5 0 0.1X S 2 5 .0 6 2 4 .4X -4 0 .9 X 4 1 ,1 7 2 1 ,3 0 3 ,3 7 5 6 ,7 8 2 1 6 9 ,5 5 0 0.1X $ 1 6 .9 4 16.9X 12.7X 10,641 2 6 6 ,0 2 5 •3 .6 X 8 2 ,3 0 5 2 ,0 5 7 ,6 2 5 1.1X S 1 5 .2 8 24.3X -5 .9 X 3 3 8 ,7 6 0 8 ,6 9 8 ,4 7 5 8 8 ,5 2 2 2 ,2 1 3 ,0 5 0 1.2X $ 1 6 .4 3 2 4 .OX 1 3 .IX 9 5 ,3 1 5 2 ,3 8 2 ,8 7 5 8 9 3 ,6 7 5 3 . IX 3 6 ,1 9 6 9 0 4 ,9 0 0 0 .5 X $ 1 9 .0 3 2 5 . IX -5 .7 X 143,9 7 9 3 ,7 5 5 ,4 5 0 3 2 ,4 7 8 8 1 1 ,9 5 0 0 .4 X $ 1 7 .0 7 23.1X 1.0X 3 5 ,7 4 7 MONTH. 22.3X 1 1 ,2 6 7 2 8 1 ,6 7 5 0 .1 X S 3 7 .6 0 28.6X 0.7 X 3 9 ,4 3 7 1 ,0 6 9 ,9 7 5 8 ,7 2 4 2 1 8 ,1 0 0 0 .1 X $ 2 9 .1 1 19.4X 11.4X 1 0 ,1 5 7 253 .9 2 5 MUSKEGON -1 .5 X 1 0 9 ,1 2 9 2 ,7 2 8 ,2 2 5 1.4X S 17.31 2 5 .2X 2.2X 4 3 3 ,5 2 0 1 0 ,7 7 5 ,8 7 5 106,765 2 ,6 6 9 ,1 2 5 1.4X $ 1 6 .9 4 23.5X -2 .3 X 1 0 9 ,7 9 7 2 ,7 4 4 ,9 2 5 1 6 .OX 2 6 ,5 2 5 6 6 3 ,1 2 5 0.4X $ 1 8 .9 9 29.4X 3 . IX 9 0 ,3 3 7 2 ,5 0 4 ,2 0 0 1 9 ,4 9 7 4 8 7 ,4 2 5 0 .3 X $ 1 3 .9 6 2 0 .OX 22.6X 2 4 ,7 6 2 6 1 9 ,0 5 0 * 1 4 .OX 7 7 7,160 1 9 ,4 2 9 ,0 0 0 1 0 .3X $ 1 9 .2 0 2 4 .2X 0.9X 3 ,2 1 2 ,9 3 4 8 0 ,3 5 6 ,3 7 5 9 2 6 ,2 7 4 2 3 ,1 5 6 ,8 5 0 12.3X $ 2 2 .8 9 2 4 . IX 20.4X 9 6 4 ,2 6 3 2 4 ,1 0 6 ,5 7 5 5 9 9 ,6 5 0 NEUAYGO OAKLANO OCEANA 4 1 .6X 1 9 ,4 4 6 4 8 6 ,1 5 0 0.3X $ 2 2 .1 0 2 1 .7X -3 9 .4 X 8 9 ,7 0 4 2 ,6 5 5 ,7 7 5 1 5 ,8 9 6 3 9 7 ,4 0 0 0 .2 X $ 1 8 .0 6 18.8X 2.3X 2 3 ,9 8 6 OGEMAU 1 4 . SX 1 6 ,920 4 2 3 ,0 0 0 0 .2 X $ 2 5 .7 4 30 .2 X 5.2X 5 5 ,9 8 9 1 ,5 7 8 ,5 5 0 12,0 3 3 3 0 0 ,8 2 5 0.2 X $ 1 8 .3 0 2 7 .OX 34.7X 1 0 ,2 5 0 2S 6.250 ONTONAGON 16.3X 1 2 ,500 3 1 2 ,5 0 0 0.2X $ 3 1 .6 9 23.2X -1 7 .9 X 5 3 ,9 8 5 1 ,4 0 0 ,9 7 5 1 1 ,5 3 9 2 8 8 ,4 7 5 0 .2 X $ 2 9 .2 5 19.3X -1 2 .4 X 1 3 ,5 3 3 3 3 8 ,3 2 5 OSCEOLA 7.4X 1 2 ,386 3 0 9 ,6 5 0 0.2X $ 1 6 .3 6 24.9X - 1 1 . 3X 4 9 ,6 8 9 1 ,3 3 3 ,0 2 5 1 0 ,8 6 8 2 7 1 ,7 0 0 0 .1 X $ 1 4 .3 5 22.7X 5.2X 1 3 ,5 6 7 339 ,1 7 5 OSCOOA 13.8X 7 ,0 7 6 176,900 0.1X $ 2 5 .7 9 26.7X -3 .5 X 2 6 ,4 8 2 7 0 4 ,4 0 0 5 ,4 0 2 135 ,0 5 0 0 .1 X $ 1 9 .6 9 1B.6X - 4 . IX 5 ,9 4 0 148,500 OTSEGO 22.7X 1 3 ,5 9 6 3 3 9 ,9 0 0 0 .2 X $ 2 2 .6 7 2 6 . BX -8 .7 X 5 0 ,7 3 9 1 ,3 8 7 ,4 2 5 1 2 ,2 5 7 3 0 6 ,4 2 5 0.2 X $ 2 0 .4 4 10.7X 21 .OX 1 2 ,7 6 2 3 1 9 ,0 5 0 OTTAWA 24.4X 6 4 ,6 9 0 1 ,6 1 7 ,2 5 0 0 .9 X $ 1 0 .2 9 24.6X •16.2X 2 6 3 ,2 2 6 7 ,0 2 8 ,5 7 5 7 4 ,2 2 8 1 ,8 5 5 ,7 0 0 1.0X $ 1 1 .8 1 27.9X 25.2X 8 0 ,7 0 2 2 ,0 1 7 ,5 5 0 PRES. IS . 23.2X 18,963 4 7 4 ,0 7 5 0.3X $ 3 3 .2 3 26.3X -7 .8 X 7 2 ,2 1 8 1 ,9 1 9 ,9 7 5 17,491 4 3 7 ,2 7 5 0.2X $ 3 0 .6 5 21 .OX 9.4X 1 6 ,8 2 8 4 2 0 ,7 0 0 ROSCOMMON 5 1 .7X 2 8 ,6 5 2 7 1 6 ,3 0 0 0 .4 X $ 4 3 .7 5 2 7 .OX - 1 8 . OX 106,1 3 0 3 ,0 3 8 ,0 0 0 2 5 ,971 6 4 9 ,2 7 5 0 .3 X $ 3 9 .6 5 8.8 X 32.9X 2 9 ,7 9 5 7 4 4 ,8 7 5 SAGINAW -5 .9 X 194,432 4 ,8 6 0 ,8 0 0 2.6X $21 .3 1 25.9X 3.5 X 7 5 1 ,6 5 3 1 9 ,2 4 7 ,3 7 5 1 9 5 ,0 1 8 4 ,8 7 5 ,4 5 0 2.6X $ 2 1 .3 8 2 8 . IX 1 5 .OX 198,292 4 ,9 5 7 ,3 0 0 ST. CLAIR 1 2 .9X 1 0 8,579 2 ,7 1 4 ,4 7 5 1.4X $ 1 9 .5 6 2 3 .9X -1 5 .4 X 4 5 3 ,8 9 7 1 1 ,9 7 3 ,8 0 0 9 8 ,8 2 3 2 ,4 7 0 ,5 7 5 1.3X $ 1 7 .8 0 23.6X -4 .3 X 117,011 2 ,9 2 5 ,2 7 5 ST.JOSEPH 1 1 .SX 7 7 ,9 5 3 1 ,9 4 8 ,8 2 5 1.0X $ 3 4 .7 5 2 4 .3X -1 5 .7 X 3 2 0 ,6 1 9 8 ,6 4 2 ,1 7 5 7 3 ,6 2 8 1 ,8 4 0 ,7 0 0 1.0X $ 3 2 .8 2 24.8X 9 .3 X 8 7 ,4 8 5 2 ,1 8 7 ,1 2 5 SANILAC 20.2X 30,931 7 7 3,275 0 .4 X $ 1 8 .9 6 2 7 . IX -4 .7 X 114,034 3 ,0 7 1 ,5 0 0 3 1 ,3 9 6 7 8 4 ,9 0 0 0 .4 X $ 1 9 .2 4 26.8X 32.8X 3 5 ,4 4 2 8 8 6 ,0 5 0 SCHCRFT. 10.ex 9 ,7 8 9 2 4 4,725 0.1X $ 2 8 .5 4 26 .6 X -2 .5 X 3 6 ,7 6 8 9 7 3 ,1 7 5 1 0 ,3 0 3 257 ,5 7 5 0.1X $ 3 0 .0 4 13.5X 30.8X 10 ,189 254 ,7 2 5 SHIAWASSE -4 .2 X 4 8 ,9 1 9 1 ,2 2 2 ,9 7 5 0.6X $ 1 7 .1 9 26.2X 7.2X 187,041 4 ,6 9 4 ,6 7 5 4 4 ,5 8 9 1 ,1 1 4 ,7 2 5 0 .6 X $ 1 5 .6 7 24.7X -0 .6 X 4 3 ,9 6 2 1 ,0 9 9 ,0 5 0 TUSCOLA 1 3 .OX 4 3 ,6 3 7 1 ,0 9 0 ,9 2 5 0 .6 X $1 9 .1 5 26.9X O.SX 162,501 4 ,2 2 2 ,0 2 5 4 4 ,5 4 7 1 .1 1 3 ,6 7 5 0 .6 X $ 1 9 .5 5 23.6X 20.3X 4 5 ,7 1 9 1 ,1 4 2 ,9 7 5 VAN SUREN 19.8X 5 1 ,1 3 0 1 ,2 7 8 ,2 5 0 0.7X $ 1 9 .1 3 2 5 . IX - 1 4 . 4X 204,0 4 4 5 ,5 1 3 ,0 5 0 5 0 ,8 9 4 1 ,2 7 2 ,3 5 0 0 .7 X $ 1 9 .0 4 14.3X 17.6X 5 8 ,7 5 5 1 ,4 6 8 ,8 7 5 8.4X -1 .4 X 6 6 5 ,5 0 2 1 6 ,9 8 8 ,2 5 0 173 ,4 7 6 4 ,3 3 6 ,9 0 0 2 .3 X $ 1 6 .3 8 8 . IX 8.5X 158,6 4 8 3 ,9 6 6 ,2 0 0 1.0X 6 ,6 4 8 ,2 0 5 1 6 6 ,3 1 7 ,5 0 0 1 ,6 8 7 ,1 4 9 4 2 ,1 7 8 ,7 2 5 22.3X $ 1 8 .0 4 33.2X 2.8X 1 ,7 1 5 ,2 6 8 4 2 ,8 8 1 ,7 0 0 WASHTENAW 1 7 1,492 4 ,2 8 7 ,3 0 0 2 .3 X $ 1 6 .1 9 2 5 .BX WAYNE -3.3X11,661,048 4 1 ,5 2 6 ,2 0 0 2 2 .OX $ 1 7 .7 6 2 5 .OX WEXFORD 18.4X 2 9 ,2 8 9 732,225 0.4X $ 2 9 .1 7 27.5X 1.3X 106,534 2 ,7 8 9 ,2 5 0 2 6 ,2 0 0 6 5 5 ,0 0 0 O.SX $ 2 6 .0 9 20.2X 9 .7 X 2 8 ,5 1 0 712 ,7 5 0 1.2X 37,791 94 4 ,7 7 5 O.SX 27.5X 10.7X 137 ,2 3 9 3 ,4 9 3 ,9 5 0 3 5 ,6 8 3 8 9 2 ,0 7 5 O.SX 46.6X 12.9X 15,2 2 4 3 8 0 ,6 0 0 OUT/STATE COUNTY CHANGE TAVERNS SALES Q2toQ3 t CLUBS REVENUES CHANGE TOTAL TOTAL TAVERNS SALES OF TOTAL CAPITA OF TOTAL Q3toQA SALES PERCENT SALES 4 CLUBS REVENUES REVENUES SALES SALES TAX TAX SALES SALES TAX TAX PER SALES PERCENT YEAR TAX 1983 1983 1983(A ) TOTAL COUNTY AV PER PERCENT SALES YEAR 2 ,2 6 1 ,6 5 8 100.0X 25.3X $ 2 0 .2 7 ■ 3.AX29,8 4 0 ,6 2 6 7 4 6 .0 1 0 ,6 5 0 3 5 7 ,8 7 0 9 ,2 0 8 ,8 3 8 8 4 (1 ) SALES REVENUES SALES 1 9 8 4 (2 ) 7 ,5 6 0 ,1 2 9 1 8 9 ,0 0 3 ,2 2 5 9 0 ,6 5 6 CHANGE TAVERNS TAX 1 9 8 4 (1 ) 3 .4 X 7 ,5 4 6 ,4 9 7 1 8 8 ,6 6 2 ,4 2 5 9 0 ,4 6 6 PERCENT OF TOTAL CAPITA OF TOTAL 83(1)TO S CLUBS 2 ,2 6 6 ,3 9 9 100.0X 2 4 . OX $ 2 0 .3 1 9 .0 X 7 ,9 0 8 ,6 4 2 1 9 7 ,7 1 6 ,0 5 0 95 ,1 0 1 2 ,3 7 7 ,5 3 6 ro a\ o PERCENT PER PERCENT CHANGE TAVERNS SALES PERCENT PER PERCENT CHANGE TAVERNS PERCENT CHANGE TOTAL SALES PERCENT PER OF TOTAL CAPITA OF TOTAL 83(2>TO t CLUBS REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO I CLUBS REVENUES OF TOTAL CAPITA OF TOTAL 83(4)T0 SALES SALES SALES YEAR 84(2) SALES SALES SALES YEAR 84(3) SALES SALES SALES YEAR 84(4) TAX TAX TAX TAX TAX TAX 1984 1984(3) 1984(4) D.2X $44.07 23.SX 31.9X ALCONA 27.186 679,650 0.2X $47.80 O.SX $69.78 37.2X 30.9X 18,623 465,575 25.SX 12.7X 73,138 ALGER 0.3X $53.62 23.OX -19.4X 31.213 780,325 0.4X $84.59 35.OX -15.7X 20,089 502,225 0.3X S54.44 22.SX -27.3X 89,253 ALLEGAN 1.0X $24.37 26.9X 0.9X 102,863 2,571,575 1.3X $31.53 60,030 1,500,750 34.BX -1.2X 0.8X $18.40 20.3X 0.9X 295,449 0.4X $24.84 25.5X 10.IX ALPENA 31,836 795,900 0.4X $24.63 2S.2X 14.7X 33,364 834,100 26.5X 19.8X 126,124 0.4X $25.81 ANTRIM 0.3X $33.79 23.8X 9.3X 33,027 825,675 0.4X $50.99 3S.9X 7.3X 18,653 466,325 0.2X $28.80 20.3X *5.9% 92,020 ARENAC 0.3X $37.47 25.6X 2.9X 26,326 658,150 0.3X $44.75 30.6X 0.7X 19,963 499,075 0.3X $33.94 23.2X -7.3X 86,051 O.TX $19.59 BARAGA 26.6X 9.3X 7,351 183,775 0.1X $21.66 29.4X 8.7X 5,496 137,400 0.1X $16.20 22.OX *8.9% 25,038 BARRY 0.3X $11.43 24.6X -7.2X 24,806 620,150 0.3% $13.55 29.IX -3.5X 20,029 500,725 0.3X $10.94 23.5X 4.9X 85,223 BAY 1.4X $22.59 26.IX 2.OX 108,938 2,723,450 1.3X $22.72 26.3X 2.OX 95,182 2,379,550 1.2X $19.85 23.OX -7.2X 414,492 BENZIE 0.1X $20.53 26.1X 19.7X 13,658 341,450 0.2X $30.47 38.7X 25.9X 7,478 186,950 0.1X $16.68 21.2X 7.4X 35,319 BERRIEN 25.9X 20.5X 215,203 5,380,075 2.4X $27.55 2.6X $31.41 29.5X 18.2X 172,409 4,310,225 2.2X $25.17 23.7X 12.3X 728,675 BRANCH 0.3X $16.74 26.7X 22 .ex 27,600 690,000 27.4X 12.7X 23,571 0.3X $17.17 589,275 0.3X $14.66 23.4X -5.6X 100,821 CALHOUN 1.2X $17.29 24.7X 7.2X 104,008 2,600,200 1.3X $18.37 26.2X 14.IX 99,499 2,487,475 1.3X $17.57 25.IX 6.4X 396,968 CASS 0.7X $28.17 56,229 1,405,725 28.8X 15.2X 0.7X $28.40 29.OX -11.8X 40,095 1,002,375 O.SX $20.25 20.7X -13.5% 193,634 24.9X 45.9X CHARLVX. 0.3X $27.74 37,302 932,550 17,291 0.5X $46.85 42.OX 54.6X 432,275 0.2X $21.71 19.5X 22.OX 88,796 CHEBOYGAN 0.3X S27.01 25.9X -9.2X 27,136 678,400 31.SX -10.0X 17,822 O.SX $32.85 445,550 0.2X $21.58 20.7X -13.6X 86,210 CHIPPEWA O.SX $31.52 24.ax -1.4X 47,007 1,175,175 0.6X $40.48 31.8X 13.6X 34,533 863,325 0.4X $29.74 23.4X -5.0% 147,828 CLARE 0.3X $26.70 24.5X 9.8X 28,265 706,625 O.SX $29.66 27.2X 2.7X 27,114 677,850 O.SX $28.45 26.IX -5.8% 103,818 CLINTON 0.5X $16.31 25.IX -10.2X 36,204 905,100 0.4X $16.19 24.9X 4.6X 35,515 887,875 O.SX $15.89 24.4X -8.5% 145,473 CRAWFORD 0.2X $43.99 24.9X 15.3X 23,173 579,325 O.SX $61.21 34.7X 12 .ax 15,396 384,900 0.2X $40.67 23.1X 11.6% 66,759 DELTA 0.7X $34.12 24.2X 6.4X 57,530 1,438,250 26.2X 57,802 1,445,050 0.7X $36.93 7.7X 0.7X $37.10 26.3X 6.3% 219,677 DICKINSON 0.4% $33.97 25.7X 29.8X 35,643 891,075 0.4X $35.16 34,479 861,975 26.6X 28.2X 0.4X $34.02 25.7X 9.3% 133,964 EATON 0.6X $13.80 24.6X 9.9X 48,679 1,216,975 0.6X $13.78 52,118 1,302,950 24.5X 11.3X 0.7X $14.75 26.3X 10.1% 198,518 EMHET 0.7X $60.94 21.4X 3.7X 107,784 2,694,600 1.3XS117.20 1.8X 41.IX 52,325 1,308,125 0.7X $56.89 20.OX -1.4% 261,986 GENESSE 4.7X $20.47 25.IX 10.IX 356,517 8,912,925 3.3X 363,353 9,083,825 4.3X $19.79 24.3X 4.6X $20.17 24.8X -3.2% 1,466,978 GLADWIN 0.2X $18.55 24.4X 12.4X 18,034 450,850 15,079 24.ex 0.2X $22.59 29.7X 10.9X 376,975 0.2X $18.89 1.5% 60,750 O.SX $26.02 23.IX -2.8X GOGEBIC 23,806 595,150 -3.2X O.SX $30.23 26 . ex 20,873 521,825 0.3X $26.51 23.5X •10.4% 88,797 GR. TRAV. O.BX $30.15 23.OX 7.0X 95,228 2,380,700 64,582 1,614,550 O.SX $29.41 22.5X 1.2X $43.37 33.IX 20.4X 2.7% 287,276 COUNTY COUNTY PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8 3 (2 )1 0 8 CLUBS SALES SALES YEAR 8 4 (2 ) TAX SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 83(3)TO I CLUBS SALES SALES TAX TAX SALES YEAR 8 4 (3 ) 1 98 4 (3 ) SALES REVENUES CHANGE TOTAL OF TOTAL CAPITA OF TOTAL B3(4)TO PERCENT SALES SALES SALES TAX TAX PER SALES PERCENT YEAR 8 4 (4 ) TAX 1984 1 9 8 4 (4 ) GRATOIT 0.3X $ 1 4 .0 5 2 5 .OX 20.2X 2 3 ,8 3 1 5 9 5 ,7 7 5 0 .3 X $ 1 4 .7 3 26.2X 2 5 .4X 2 2 ,2 9 7 5 5 7 ,4 2 5 0 .3 X $ 1 3 .7 8 24.6X 1 5 . IX HILLSDALE Q.3X $ 1 2 .2 9 2 3 .a x 5.4X 2 2 ,6 0 4 5 6 5 ,1 0 0 O.SX $ 1 3 .4 3 2 6 . IX -4.S X 2 3 ,1 5 1 5 7 8 ,7 7 5 O.SX $ 1 3 .7 6 26.7X 18.9X 8 6 ,7 3 5 HOUGHTON 0 .6 X $ 2 9 .9 9 2 5 .OX -7 .4 X 4 6 ,6 6 7 1 ,1 6 6 ,6 7 5 0.6 X $ 3 0 .8 1 25.7X -1 9 .2 X 4 3 ,3 1 8 1 ,0 8 2 ,9 5 0 0.6 X $ 2 8 .6 0 23.8X -1 9 .2 X 181,6 4 0 129,155 9 0 ,8 0 4 HURON O.AX $ 2 1 .0 4 23.ex -1 1 .8 X 3 3 ,2 1 8 8 3 0 ,4 5 0 0.4 X $ 2 2 .7 8 25.7X -1 0 .5 X 3 5 ,2 7 7 8 8 1 ,9 2 5 0.5 X $ 2 4 .1 9 27.3X 1.1X INGHAM 4 . IX $ 2 9 .7 0 2 4 .4X 2.9X 3 2 9 ,0 5 6 8 ,2 2 6 ,4 0 0 4 . OX $ 2 9 .8 6 2 4 .5X 3.2 X 3 5 0 ,5 1 7 8 ,7 6 2 ,9 2 5 4.5 X $ 3 1 .8 1 2 6 . IX 6 . IX 1 ,3 4 0 ,4 8 1 IONIA O.SX $ 1 7 .6 2 20.7X - 3 5 .6X 4 0 ,5 7 3 1 ,0 1 4 ,3 2 5 0.5X $ 1 9 .5 8 2 3 .OX -3 9 .9 X 3 1 ,4 2 0 7 8 5 ,5 0 0 0.4 X $ 1 5 .1 6 17.BX -5 4 .2 X 176,4 4 6 IOSCO 0 .4 X $ 2 5 .6 6 23.4X -0 .7 X 3 5 ,8 7 3 8 9 6 ,8 2 5 0.4 X $ 3 1 .6 4 28.8X -2 .0 X 2 5 ,6 2 2 6 4 0 ,5 5 0 0.3 X $ 2 2 .6 0 20.6X -9 .5 X 124,354 IRON 0.2X $ 2 6 .6 7 24.4X 6.3X 15,041 3 7 6 ,0 2 5 0.2 X $ 2 7 .5 8 25.2X -6 .4 X 15,401 3 8 5 ,0 2 5 0.2 X $ 2 8 .2 4 2 5 .SX -2 8 .4 X 5 9 ,6 3 3 ISABELLA 0.6X $ 2 3 .5 9 2 4 .8X 4.4X 4 9 ,1 5 2 1 ,2 2 8 ,8 0 0 0.6 X $22 .7 1 23.9% -2 1 .7 X 5 5 ,7 2 3 1 ,3 9 3 ,0 7 5 0.7 X $ 2 5 .7 5 2 7 . IX -9 .5 X 2 0 5 ,5 2 0 JACKSON 1.6X $ 2 0 .9 0 26.6X 1.6X 123,2 3 2 3 ,0 8 0 ,8 0 0 1.SX $ 2 0 .3 4 2 5 . SX -2 .7 X 1 1 1 ,0 3 8 2 ,7 7 5 ,9 5 0 1.4X $ 1 8 .3 2 23.3X -8 .1 X 4 7 6 ,8 5 1 KALAMAZOO 2 . IX $ 1 9 .3 0 2 5 .SX 7 . OX 1 5 5 ,0 8 7 3 ,8 7 7 ,1 7 5 1.9X $ 1 8 .2 6 2 4 . IX 4.8X 162,411 4 ,0 6 0 ,2 7 5 2 . IX $ 1 9 .1 2 25.2X -6 .1 X 6 4 3 ,3 8 0 KALKASKA 0.1X $ 2 1 .2 9 26.8X 2.9X 1 1 ,0 8 5 2 7 7 ,1 2 5 0.1 X $ 2 5 .3 0 3 1 .8X -1B.9X 7 ,7 1 7 1 92,925 0.1 X $ 1 7 .6 2 22.2X -3 .0 X 3 4 ,8 2 3 KENT 4.SX $ 1 9 .8 4 24.3X -0 .7 X 3 4 7 ,5 8 9 8 ,6 8 9 ,7 2 5 4.2 X $ 1 9 .5 5 2 4 .OX 3.9X 3 7 8 ,0 1 8 9 ,4 5 0 ,4 5 0 4 .8 X $ 2 1 .2 6 2 6 . IX KEUEENAU O.OX $ 2 5 .7 4 2 5 .7X -8 .7 X 2 ,2 3 9 5 5 ,9 7 5 O.OX $ 2 8 .5 2 2 8 .SX -5 .6 X 1 ,9 5 0 4 8 ,7 5 0 O.OX $ 2 4 .8 3 24.8X 1 8 .OX 7 ,8 6 0 LAKE O.SX $ 6 7 .2B 2 4 .OX 16.7X 2 5 ,6 4 2 6 4 1 ,0 5 0 0.3 X $ 8 3 .1 3 29.7X 1 8 .OX 2 3 ,2 0 4 5 8 0 ,1 0 0 0 .3 X $ 7 5 .2 3 26.9X 4.8 X 8 6 ,3 2 2 LAPEER 0.5X $ 1 3 .6 2 2 5 .IX 36.3X 3 9 ,2 6 3 9 8 1 ,5 7 5 0.5 X $ 1 4 .0 1 2 5 . BX 18.6X 3 6 ,9 2 5 9 2 3 ,1 2 5 0 .5 X $ 1 3 .1 8 24.3X 3 0 .OX 1 5 1 ,8 9 9 LEELANAU 0.2 X $ 2 9 .3 5 2 2 .9X - 4 5 .3X 3 0 ,7 9 3 7 6 9 ,8 2 5 0 .4 X $ 5 4 .9 6 42.9X -3 8 .6 X 1 3 ,4 5 7 3 3 6 ,4 2 5 0 .2 X $ 2 4 .0 2 18.7X -5 0 .6 X 7 1 ,8 3 0 LENAWEE 0.9X $ 1 9 .9 9 2 4 .8X 36.5X 7 2 ,9 1 0 1 ,8 2 2 ,7 5 0 0.9 X $ 2 0 .2 6 2S.2X 2 1 .3X 7 5 ,1 3 6 1 ,8 7 8 ,4 0 0 1.0X $ 2 0 .8 8 25.9X 19.8X 2 8 9 ,5 9 0 LIV. O.SX $ 1 0 .5 7 25.5X 9.4X 4 4 ,9 1 4 1 ,1 2 2 ,8 5 0 0.5 X $ 1 1 .2 0 2 7 .OX 1 1 .2X 4 1 ,6 5 3 1 ,0 4 1 ,3 2 5 O.SX $ 1 0 .3 8 2 5 .OX 14.6X 1 6 6 ,2 8 8 LUCE O.OX $ 1 3 .2 6 2 2 .4X -19.6X 5 ,1 1 9 127,975 0.1 X $ 1 9 .2 2 3 2 .SX 5 . IX 3 ,7 1 1 9 2 ,7 7 5 O.OX $ 1 3 .9 3 23.5X 17.0X 1 5 ,7 7 5 MACKINAC O.SX $ 5 5 .5 2 23.2X 17.7X 5 4 ,9 7 3 1 ,3 7 4 ,3 2 5 0.7X $ 1 3 5 .0 3 5 6 .SX 34.5X 1 2 ,5 2 3 3 1 3 ,0 7 5 0.2 X $ 3 0 .7 6 12.9X 7.7X 9 7 ,3 6 8 MACOMB 9 .2 X $ 2 6 .0 9 2S.7X 12.2X 7 1 7 ,1 4 9 1 7 ,9 2 8 ,7 2 5 8.7X $25 .8 1 25.4X 1 4 .IX 7 1 5 ,6 8 0 1 7 ,8 9 2 ,0 0 0 9 .1 X $ 2 5 .7 6 25.4X MANISTEE O.SX $ 3 9 .9 0 2 6 . IX -0 .1 X 4 3 ,2 6 2 1 ,0 8 1 ,5 5 0 0.5X $ 4 6 .9 9 30.7X -4 .0 X 3 1 ,5 4 9 788 ,7 2 5 0.4 X $ 3 4 .2 6 22.4X -1 4 .5 X 140,6 9 2 MARQUETTE 0.7X $19 .6 1 2 3 .4X - 1 3 .OX 6 7 ,9 2 5 1 ,6 9 8 ,1 2 5 0.8X $ 2 2 .9 2 27.4X -6 .7 X 6 3 ,5 0 8 1 ,5 8 7 ,7 0 0 O.SX $ 2 1 .4 3 25.6X -2 .5 X 2 4 8 ,1 6 0 4 . OX 1 ,4 4 9 ,6 9 7 9.0 X 2 ,8 2 0 ,8 6 5 MASON 0.3X $ 2 5 .8 6 2 4 .4X -2 .6 X 3 1 ,4 9 4 7 8 7 ,3 5 0 0.4X $ 2 9 .8 6 2 8 . IX - 1 6 . OX 2 3 ,7 6 3 719 ,0 7 5 0.4 X $ 2 7 .2 7 25.7X 2.3X 111,9 0 8 MECOSTA O.SX $ 2 4 .3 2 22.7X 5.9X 4 1 ,5 0 0 1 ,0 3 7 ,5 0 0 0.5 X $ 2 8 .0 7 26.2X 9 . IX 4 3 ,1 7 0 1 ,0 7 9 ,2 5 0 0.6 X $ 2 9 .2 0 27.3X 8.3X 158,175 MENOMINEE 0.4X $ 3 1 .0 2 2 4 .BX 2 9 .OX 3 3 ,7 6 5 8 4 4 ,1 2 5 0 .4 X $ 3 2 .2 2 2 5 .7X 2 5 .5X 3 5 ,2 9 3 8 8 2 ,3 2 5 0.5 X $ 3 3 .6 8 26.9X 8.8 X 131,165 MIDLAND O.SX $ 1 4 .3 3 26. n 14.7X 3 8 ,6 4 8 9 6 6 ,2 0 0 0 .5 X $ 1 3 .1 3 2 4 .4X -2 .0 X 3 8 ,4 3 3 9 6 0 ,8 2 5 0 .5 X $ 1 3 .0 6 24.3X 0.2X 158,121 COUNTY PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 83(2)TO I CLUBS SALES SALES YEAR 8 4 (2 ) TAX SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8 3 (3 )T 0 8 CLUBS SALES SALES TAX TAX SALES YEAR 8 4 (3 ) 1 984(3) SALES REVENUES CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(4)TO SALES PERCENT SALES SALES TAX TAX PER SALES PERCENT YEAR 8 4 (4 ) TAX 1984 1 9 8 4 (4 ) MISSAUKEE O .U S 2 6 .5 8 26.5X 30.7X 13,261 3 3 1 ,5 2 5 0 .2 X $ 3 3 .1 2 3 3 .OX - 2 1 .9X 9 ,4 8 0 2 3 7 ,0 0 0 0 .1 X $ 2 3 .6 8 23.6X •5 .5 X 4 0 ,1 6 4 MONROE 1.2X S i r . 70 2 5 .8X 5 . OX 9 7 ,8 8 4 2 ,4 4 7 ,1 0 0 1.2X $ 1 8 .1 7 26.5X 11.9X 8 7 ,8 5 9 2 ,1 9 6 ,4 7 5 1.1X $ 1 6 .3 1 23.8X 6.7X 3 6 9 ,5 8 0 MONTCALM 0.5X $ 1 8 .7 9 25.5X -4 .0 X 3 7 ,2 2 2 9 3 0 ,5 5 0 O.SX $ 1 9 .5 7 26.SX -3 .1 X 3 4 ,9 2 3 8 7 3 ,0 7 5 0 .4 X $ 1 8 .3 6 24.9X -3 .5 X 1 40 ,3 7 0 MONTM. O .U $ 3 3 .8 9 22.6X 1 1 . OX 13,9 8 8 3 4 9 ,7 0 0 0 .2 X $ 4 6 .6 8 3 1 . IX 2 5 .OX 1 2 ,1 5 4 3 0 3 ,8 5 0 0 .2 X U 0 . 5 6 2 7 .OX 7.9X 4 5 ,0 2 3 MUSKEGON 1.4X $ 1 7 .4 2 2 4 . IX 1.3X 1 1 0 ,34 0 2 ,7 5 8 ,5 0 0 1.3X $ 1 7 .5 0 24.3X 3.4X 128,0 1 0 3 ,2 0 0 ,2 5 0 1.6X $ 2 0 .3 1 2 8 . IX 17.3X 4 5 4 ,9 1 2 9 7 ,4 6 5 NEWAYGO O.SX $ 1 7 .7 3 2 5 .4X 1 1 .6X 2 7 ,43 1 6 8 5 ,7 7 5 0.3X $ 1 9 .6 4 2 8 . IX 6.6X 2 5 ,7 7 5 6 4 4 ,3 7 5 0 .3 X $ 1 8 .4 5 26.4X -2 .8 X OAKLANO 1 2 .2X $ 2 3 .8 3 2 5 . IX 7.6X 9 7 8 ,4 9 9 2 4 ,4 6 2 ,4 7 5 1 1 .9X $ 2 4 .1 8 2 5 .4X 2 7 . OX 9 7 6 ,0 2 6 2 4 ,4 0 0 ,6 5 0 12.5X $ 2 4 .1 2 25.4X 2 5 .6X 3 ,8 4 5 ,0 6 2 OCEAMA O.SX $ 2 7.25 28.4X S.9X 2 8 ,6 2 6 7 1 5 ,6 5 0 0 .3 X $ 3 2 .5 3 33.9X -10.7X 1 9 ,9 0 8 4 9 7 ,7 0 0 0 .3 X $ 2 2 .6 2 2 3.5X 2.4X 8 4 ,5 5 3 OGEMAW 0.1X $ 1 5 .5 9 2 3 .OX - 2 7 .OX 13,274 3 3 1 ,8 5 0 0 .2 X $ 2 0 .1 9 Z9.ru -1 7 .5 X 9 ,5 6 8 2 3 9 ,2 0 0 0 .1X $ 1 4 .5 5 2 1.4X -4 3 .5 X 4 4 ,6 3 1 ONTONAGON 0.2X $34.31 22.6X 3.4X 1 7 ,9 7 7 4 4 9 ,4 2 5 0 .2 X U S . 58 3 0 . IX 1 8 .IX 1 7 ,3 7 7 4 3 4 ,4 2 5 0 .2X $ 4 4 .0 5 2 9 . IX 39.0X 5 9 ,7 5 5 OSCEOLA 0.2X $ 1 7 .9 2 28.4X 4.4X 14,415 3 6 0 ,3 7 5 0 .2X $ 1 9 .0 4 3 0 . IX 3.2X 1 4 ,455 3 6 1 ,3 7 5 0.2 X $ 1 9 .0 9 30.2X 16.7X 4 7 ,8 3 9 OSCOOA 0.1X $ 2 1 .6 5 2 0 .5X -7 .8 X 5 ,1 2 9 128,225 0 .1 X $ 1 8 .7 0 17.7X - 3 0 .OX 5 ,6 8 9 142,225 O . U $ 2 0 .7 4 19.6X -1 9 .6 X 2 9 ,0 1 5 OTSEGO 0.2X $ 2 1 .2 8 11.2X S.2X 1 4 ,5 1 8 3 6 2 ,9 5 0 0 .2 X $ 2 4 .2 1 12.7X -2 .5 X 1 2 ,8 9 7 3 2 2 ,4 2 5 0.2X $ 2 1 .5 1 11.3X -5 .1 X 114,4 0 5 OTTAWA 1.0X $ 1 2 .8 4 30.3X 3 0 .OX 9 2 ,5 8 7 2 ,3 1 4 ,6 7 5 1.1X $ 1 4 .7 3 34.7X 19.9X 7 5 ,7 3 8 1 ,8 9 3 ,4 5 0 1.0X $ 1 2 .0 5 28.4X 1 7 .U 2 6 6 ,5 1 8 PRES. IS . 0.2X $ 2 9 .4 9 2 0 .2X O.SX 2 0 ,1 3 6 5 0 3 ,4 0 0 0 .2 X $ 3 5 .2 8 24.2X - 2 . IX 2 0 ,2 8 4 5 0 7 ,1 0 0 0.3X $ 3 5 .5 4 2 4 .4X 7 . OX 8 3 ,2 1 9 ROSCOMMON 0.4X $ 4 5 .4 9 1 0 .IX 2 9 .SX 4 0 .9 7 2 1 ,0 2 4 ,3 0 0 0 .5 X $ 6 2 .5 6 1 3 .9X 17.3X 2 8 ,9 7 5 724,3 7 5 0 .4X $ 4 4 .2 4 9.8 X 1.1X 2 9 4 ,7 6 0 SAGINAW 2.5X $ 2 1 .7 4 28.6X -0 .7 X 195,29 3 4 ,8 8 2 ,3 2 5 2.4X $ 2 1 .4 1 2 8 . IX 3.9X 2 0 1 ,4 7 9 5 ,0 3 6 ,9 7 5 2 .6X $ 2 2 .0 9 2 9 .OX 3.6X 6 9 3 ,8 8 7 S T . CLAIR 1.SX $ 2 1 .0 8 2 8 .OX 2.9X 1 2 3 ,3 2 7 3 ,0 8 3 ,1 7 5 1.5X $ 2 2 .2 1 29.5X -3 .9 X 1 0 4 ,0 9 8 2 ,6 0 2 ,4 5 0 1.3X $ 1 8 .7 5 2 4 .9X - 4 .U 4 1 8 ,0 6 4 ST.JOSEPH 1.1X $ 3 9 .0 0 29.5X 5.6X 9 5 ,2 7 2 2 ,3 8 1 ,8 0 0 1.2X U 2 . 4 7 3 2 . IX 3 . IX 8 2 ,3 6 7 2 ,0 5 9 ,1 7 5 1 . U $ 3 6 .7 2 27.8X 5.7X 2 9 6 ,5 2 0 SANILAC 0 .4 X $ 2 1 .7 2 30.3X 31.2X 3 9 ,24 1 9 8 1 ,0 2 5 O.SX $ 2 4 .0 5 33.5X 20.9X 3 2 ,0 7 2 8 0 1 ,8 0 0 0 .4 X $ 1 9 .6 6 27.4X 3.7X 117 ,0 5 8 SCHCRFT. 0.1X $29.71 1 3 .3X 1 2 .4X 12.0 8 6 3 0 2 ,1 5 0 0.1 X $ 3 5 .2 4 1 5 .ex 20.4X 9 ,6 3 5 240,8 7 5 O . U $ 2 8 .0 9 12.6X -1 .6 X 7 6 ,4 9 9 SHIAWASSE 0.6X $ 1 5 .4 5 24.3X -7 .7 X 4 4 ,3 9 5 1 ,1 0 9 ,8 7 5 0 .5 X $ 1 5 .6 0 2 4 .6X -2 .7 X 4 7 ,7 7 7 1 ,1 9 4 ,4 2 5 0 .6X $ 1 6 .7 9 26.4X -2 .3 X 180,681 TUSCOLA 0.6X $ 2 0 .0 7 2 4 .2X 1 9 .OX 4 5 ,6 0 4 1 ,1 4 0 ,1 0 0 0 .6 X $ 2 0 .0 2 2 4 . ZX 5 . OX 4 6 ,5 4 8 1 ,1 6 3 ,7 0 0 0 .6X $ 2 0 .4 3 24.7X 6.7 X 188,765 VAN SUREN 0.7X $ 2 1 .9 3 16.6X 17.8X 7 1 ,6 9 3 1 ,7 9 7 ,3 2 5 0.9 X $ 2 6 .9 0 20.3X 20.3X 5 0 ,6 3 2 1 ,2 6 5 ,8 0 0 0 .6X $ 1 8 .9 5 1 4 .3X -1 .0 X 3 5 4 ,7 5 6 -1 .0 X - 1 0 .BX WASHTENAW 2 . OX $ 1 4 .9 8 7.4X 2 1 .7X $ 1 8 .3 4 33.7X WEXFORD 0.4X $ 2 8 .3 9 2 2 .OX OUT/STATE 0.2X 19.9X WAYNE 1 5 5 ,07 0 3 ,8 7 6 .7 5 0 1.9X $ 1 4 .6 4 7.2X 1 5 0 ,7 4 8 3 ,7 6 8 ,7 0 0 1.9X $ 1 4 .2 4 7.0X O.SX 1 ,6 2 9 ,6 9 2 4 0 ,7 4 2 ,3 0 0 19.8X $ 1 7 .4 3 3 2 . IX -1 .0 X 1 ,7 1 3 ,4 5 4 4 2 ,8 3 6 ,3 5 0 2 1 .9X $ 1 8 .3 2 33 .7 X - 1 2 . IX 2 ,1 5 1 ,6 1 5 3.2X 5 ,0 8 4 ,6 1 4 16.7X 3 5 ,1 8 0 8 7 9 ,5 0 0 0 .4 X $ 3 5 .0 4 2 7 . 1X 2 1 .6X 3 0 ,4 7 5 761,8 7 5 0 .4X $ 3 0 .3 5 2 3 .5X 4 . OX •54.8X 13,6 2 8 3 4 0 ,7 0 0 0.2X 17.8X - 6 0 . IX 1 2 ,0 4 4 3 0 1 ,1 0 0 0.2X 15.7X - 6 8 .U 1 2 9 ,8 4 8 7 6 ,5 7 9 COUNTY PERCENT PER PERCENT CHANGE TAVERNS Of TOTAL CAPITA OF TOTAL 83(2>TO t CLUBS SALES SALES TEAR TAX 8 4 (2 ) SALES REVENUES PERCENT PER PERCENT SALES SALES TAX TAX SALES TEAR 1 9 8 4 (3 ) TOTAL COUNTT AV 100.0X 2 5 . IX S 2 1 .3 1 6 4 (3 ) SALES CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 63(4)TO SALES SALES SALES TAX TAX TAX REVENUES PERCENT PER SALES PERCENT YEAR 6 4 (4 ) 1984 1 9 8 4 (4 ) 4 .7 X 8 ,2 2 2 ,0 9 6 2 0 5 ,5 3 2 ,4 0 0 9 8 ,8 9 7 CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 83(3)TO 4 CLU8S 2 ,4 7 2 ,4 3 0 100.0X 2 6 . IX $ 2 2 .1 6 5.3 X 7 ,8 3 0 ,0 7 5 1 9 5 ,7 5 1 ,8 7 5 9 4 ,1 9 3 2 ,3 5 4 ,8 2 9 100.0X 24.8X $ 2 1 .1 0 3 .8 X 3 1 ,5 4 0 ,7 2 9 3 7 9 ,0 8 6 ro cn COUNTY TOTAL TAVERNS SALES SALES S CLUBS REVENUES REVENUES SALES SALES TAX TAX 1984 PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 84(1)TO S CLUBS SALES YEAR 8 5 (1 ) 198 5 (1 ) SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL B4(2)TO 4 CLUBS SALES SALES TAX TAX SALES YEAR 8 S (2 ) 1 9 8 5 (2 ) SALES REVENUES PERCENT PER OF TOTAL CAPITA SALES SALES TAX TAX SALES 1 9 8 5 (3 ) ALCONA 1 ,8 2 8 ,4 5 0 11,0 2 3 2 7 5 ,575 0.1 X * 2 8 .2 9 15.2X 8.5 X 18,1 9 4 4 5 4 ,8 5 0 0 .2 X * 4 6 .7 0 25.1X 6 . OX 2 5 ,4 9 5 6 3 7 ,3 7 5 0.3X $ 6 5 .4 4 ALGER 2 ,2 3 1 ,3 2 5 1 8 ,8 8 8 4 7 2 ,2 0 0 0.3 X * 5 1 .1 9 19.9X 8.4 X 2 2 ,9 1 0 5 7 2 ,7 5 0 0 .2 X S 6 2 .0 9 2 4 . IX 11.6X 3 2 ,1 8 3 8 0 4 ,5 7 5 0.4 X * 8 7 .2 2 ALLEGAN 7 ,3 8 6 ,2 2 5 5 8 ,4 6 5 1 ,4 6 1 ,6 2 S O.BX S 1 7 .9 2 18.2X 10.2X 8 9 ,8 9 4 2 ,2 4 7 ,3 5 0 0 .9 X S 2 7 .S 6 2 8 .OX 1 3 .IX 1 0 6 ,9 5 2 2 ,6 7 3 ,8 0 0 1.3X * 3 2 .7 9 ALPENA 3 ,1 5 3 ,1 0 0 2 8 ,9 9 4 72 4 ,8 5 0 0.4 X * 2 2 .4 3 22.7X 0.6X 3 3 ,3 2 2 8 3 3 ,0 5 0 O.SX * 2 5 .7 8 26.1X 3.8X 3 2 ,3 2 5 8 0 8 ,1 2 5 0.4 X S2S.01 ANTRIM 2 ,3 0 0 ,5 0 0 1 0 ,0 0 7 2 5 0 ,1 7 5 0.1 X S I S .45 13.3X * 4 5 .BX 2 0 ,4 0 4 5 1 0 ,1 0 0 0 .2 X * 3 1 .5 0 2 7 . 1X •6 .8 X 2 8 ,8 5 5 721,3 7 5 0.3X $ 4 4 .5 5 ARENAC 2 ,1 5 1 ,2 7 5 1 6 ,3 5 8 4 0 8 ,9 5 0 0.2 X S 27.81 17.9X 2 3 ,7 3 3 593 ,3 2 5 0 .2 X * 4 0 .3 5 2 6 .OX 7.7X 2 8 ,7 0 9 717,7 2 5 O.SX $ 4 8 .8 0 BARAGA 6 2 5 ,9 5 0 5 ,6 0 7 140,175 0.1 X S 1 6 .5 2 2 1 .6X -7 .7 X 1.2X 6 ,7 1 5 167,875 0 .1 X * 1 9 .7 9 25.9X 1.0X 7 ,2 9 9 182,475 0.1 X $ 2 1 .5 1 O.SX $ 1 2 .0 1 BARRY BAY BENZIE 2 ,1 3 0 ,5 7 5 1 9 ,3 4 8 4 8 3 ,7 0 0 O.SX S 1 0 .5 7 2 3 . IX -0 .6 X 2 1 ,6 3 2 5 4 0 ,8 0 0 0 .2 X * 1 1 .8 1 25.ex 3.4X 2 1 ,9 9 6 5 4 9 ,9 0 0 1 0 ,3 6 2 ,3 0 0 9 2 ,4 1 0 2 ,3 1 0 ,2 5 0 1.2X S 1 9 .2 7 2 3 .OX •9 .4 X 103 ,7 0 3 2 ,5 9 2 ,5 7 5 1.0X * 2 1 .6 3 2S.8X -4 .3 X 1 0 4 ,9 4 9 2 ,6 2 3 ,7 2 5 1.2X $ 2 1 .8 9 8 8 2 ,9 7 5 6 ,2 3 0 1 5 5,750 0.1 X * 1 3 .9 0 17.2X 2 5 . IX 9 ,5 2 4 2 3 8 ,1 0 0 0 .1 X * 2 1 .2 5 26.3X 3.5X 1 4 ,0 0 3 3 5 0 ,0 7 5 0.2 X $ 3 1 .2 4 BERRIEN 1 8 ,2 1 6 ,8 7 5 1S 1.138 3 ,7 7 8 ,4 5 0 2 . OX * 2 2 .0 6 20.8X -0 .8 X 1 9 8 ,2 1 8 4 ,9 5 5 ,4 5 0 1.9X * 2 8 .9 3 27.3X 5 . OX 2 0 6 ,6 6 3 5 ,1 6 6 ,5 7 5 2.4 X $ 3 0 .1 7 BRANCH 2 ,5 2 0 ,5 2 5 2 0 ,6 8 6 5 1 7 ,1 5 0 O.SX S 1 2 .8 7 23.4X - 9 . IX 2 3 ,2 8 5 582 ,1 2 5 0 .2 X * 1 4 .4 9 26.3X -13.5X 2 1 ,9 6 7 5 4 9 ,1 7 5 0.3X $ 1 3 .6 7 CALHOUN 9 ,9 2 4 ,2 0 0 100,785 2 ,5 1 9 ,6 2 5 1.3X $ 1 7 .8 0 2 4 . IX 5.5X 107,254 2 ,6 8 1 ,3 5 0 1.0X * 1 8 .9 4 25.7X 9.6X 1 0 3 ,6 5 8 2 ,5 9 1 ,4 5 0 1.2X $18 .3 1 CASS 4 ,8 4 0 ,8 5 0 3 8 ,7 9 6 9 6 9 ,9 0 0 0.5 X * 1 9 .5 9 20.9X -6 .6 X 4 9 ,7 6 5 1 ,2 4 4 ,1 2 5 0 .5 X * 2 5 .1 3 26.8X - 1 0 . BX 5 4 ,3 0 8 1 ,3 5 7 ,7 0 0 0 .6 X $ 2 7 .4 3 CHARLVX. 2 ,2 1 9 ,9 0 0 15,6 0 2 39 0 ,0 5 0 0.2 X * 1 9 .5 9 16.8X 28.8X 2 2 ,2 4 4 5 5 6 ,1 0 0 0 .2 X * 2 7 .9 3 2 4 .OX 0.7X 3 6 ,6 4 5 9 1 6 ,1 2 5 0.4 X * 4 6 .0 2 CHEBOYGAN 2 ,1 5 S ,2 5 0 2 0 ,1 0 0 50 2 ,5 0 0 O.SX * 2 4 .3 4 20.3X 6 . IX 2 5 ,6 4 4 6 4 1 ,1 0 0 0 .2 X * 3 1 .0 5 2 5 .9X 14.9X 3 1 ,5 1 9 787,9 7 5 0.4 X S 3 8 .1 6 CHIPPEWA 3 ,6 9 5 ,7 0 0 3 3 ,8 4 4 8 4 6 ,1 0 0 0.4 X * 2 9 .1 5 19.7X 1 4 .OX 4 1 ,6 0 0 1 ,0 4 0 ,0 0 0 0 .4 X * 3 5 .8 3 24.2X 13.7X 5 5 ,3 5 7 1 ,3 8 3 ,9 2 5 0.7 X $ 4 7 .6 7 CLARE 2 ,5 9 5 ,4 5 0 19,4 0 3 4 8 5 ,075 0.3 X * 2 0 .3 6 20.2X -1 5 .6 X 2 3 ,7 1 4 5 9 2 ,8 5 0 0 .2 X * 2 4 .8 9 24.7X -6 .8 X 2 6 ,5 2 9 6 6 3 ,2 2 5 0.3 X $ 2 7 .8 4 CLINTON 3 ,6 3 6 ,8 2 5 3 4 ,2 1 4 8 5 5 ,3 5 0 0.5 X * 1 5 .3 0 2S.2X -8 .3 X 3 4 ,2 9 1 8 5 7 ,2 7 5 0 .3 X * 1 5 .3 4 25.2X -6 .0 X 3 2 ,0 5 5 801 ,3 7 5 0.4 X $ 1 4 .3 4 CRAWFORD 1 ,6 6 8 ,9 7 5 12,611 31 5 ,275 0.2 X S 33.31 18.6X 9.3X 1 6 ,9 3 0 4 2 3 ,2 5 0 0 .2 X * 4 4 .7 2 2 4 .9X 1.7X 2 2 ,2 9 9 557 ,4 7 5 0.3 X $ 5 8 .9 0 DELTA 5 ,4 9 1 ,9 2 5 5 4 ,2 1 3 1 ,3 5 5 ,3 2 5 0.7 X * 3 4 .8 0 22.8X 5.9X 5 3 ,4 8 2 1 ,3 3 7 ,0 5 0 O.SX S 3 4 .3 3 22.5X 0.6X 6 4 ,8 8 4 1 ,6 2 2 ,1 0 0 O.SX $ 4 1 .6 5 DICKINSON 3 ,3 4 9 ,1 0 0 3 0 ,6 7 5 766,875 0.4 X * 3 0 .2 6 2 4 .8X 4.3X 3 0 ,9 7 1 774 .2 7 5 0 .3 X * 3 0 .5 5 2 5 . IX -10.0X 3 1 ,8 7 8 7 9 6 ,9 5 0 0.4 X $ 3 1 .4 5 EATON 4 ,9 6 2 ,9 5 0 4 4 ,2 8 0 1 ,1 0 7 ,0 0 0 0.6 X * 1 2 .5 3 24.3X -9 .5 X 5 0 ,0 6 8 1 ,2 5 1 ,7 0 0 0 .5 X * 1 4 .1 7 27.4X 2.7X 4 2 ,8 9 1 1 ,0 7 2 ,2 7 5 0.5 X $ 1 2 .1 4 EMMET 6 ,5 4 9 ,6 5 0 4 5 ,6 2 0 1 ,1 4 0 ,5 0 0 0.6 X * 4 9 .6 0 1 4 .6X -0 .5 X 6 7 .3 3 0 1 ,6 8 3 ,2 5 0 0 .7 X * 7 3 .2 1 2 1 .6X 2 0 . IX 1 3 1 ,6 7 0 3 ,2 9 1 ,7 5 0 1 .5 U 1 4 3 .1 7 3 6 ,6 7 4 ,4 5 0 37 3 ,4 5 3 9 ,3 3 6 ,3 2 5 5 . OX S 2 0 .7 3 25.3X -1 .3 X 3 6 2 ,6 8 9 9 ,0 6 7 ,2 2 5 3 .5 X S 2 0 .1 3 2 4 .SX -1 .6 X 3 5 7 ,4 3 6 8 ,9 3 5 ,9 0 0 4 .2 X $ 1 9 .8 4 GENESSE GLADWIN 1 ,5 1 8 ,7 5 0 1 1 ,7 0 8 2 9 2 ,7 0 0 0.2 X * 1 4 .6 7 17.7X -8 .8 X 15,4 6 3 3 8 6 ,5 7 5 0.1X * 1 9 .3 7 23.4X 4.4X 2 1 ,2 7 9 5 3 1 ,9 7 5 O.SX $ 2 6 .6 6 GOGEBIC 2 ,2 1 9 ,9 2 5 2 2 ,4 8 5 5 6 2 ,1 2 5 O.SX * 2 8 .5 5 2 5 . IX -4 .8 X 2 0 ,8 4 8 5 2 1 ,2 0 0 0.2 X * 2 6 .4 8 2 3 .JX 1.8X 2 5 ,5 1 0 6 3 7 ,7 5 0 0 .3 X $ 3 2 .4 0 GR. TRAV.. 7 ,1 8 1 ,9 0 0 6 7 ,3 4 2 1 ,6 8 3 ,5 5 0 0.9 X S 3 0 .6 7 1 9 .OX 9.9X 8 0 ,9 8 9 2 ,0 2 4 ,7 2 5 O.SX * 3 6 .8 8 2 2 .BX 22.3X 122,701 3 ,0 6 7 ,5 2 5 1.4X $ 5 5 .8 8 COUNTY TOTAL TAVERNS SALES SALES t CLUBS REVENUES REVENUES 1984 PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL B 4(1)T 0 ( CLUBS SALES SALES TAX TAX SALES YEAR 8 5 (1 ) 1 9 8 5 (1 ) SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8 4 (2 )T 0 $ CLUBS SALES SALES TAX TAX SALES YEAR 8 5 (2 ) 1 9 8 5 (2 ) SALES REVENUES PERCENT PER OF TOTAL CAPITA SALES SALES TAX TAX SALES 19 8 5 (3 ) GRATOIT 2 .2 7 0 ,1 0 0 2 0 ,8 4 0 5 2 1 ,0 0 0 0.3 X S 12.B 8 2 3 . IX - 5 . OX 2 3 ,6 9 1 5 9 2 ,2 7 5 0 .2 X $ 1 4 .6 4 26.2X 4.2% 2 3 ,1 7 6 5 7 9 ,4 0 0 HILLSDALE 2 ,1 6 8 ,3 7 5 2 0,9 8 1 5 2 4 ,5 2 5 0 .3 X $ 1 2 .4 7 2 1 .3X 3.4X 2 5 ,2 9 3 6 3 2 ,3 2 5 0.2% $ 1 5 .0 3 25.6X 22.3% 2 6 ,9 1 7 6 7 2 ,9 2 5 0.3% $ 1 5 .9 9 HOUGHTON 4 ,5 4 1 ,0 0 0 4 5 ,9 8 1 1 ,1 4 9 ,5 2 5 0.6 X $ 3 0 .3 5 25.3X -O.SX 4 4 ,7 0 7 1 ,1 1 7 ,6 7 5 0.4% $29 .5 1 24.6X -1.6% 4 9 ,5 7 1 1 ,2 3 9 ,2 7 5 0.6 X $ 3 2 .7 2 HURON 0.3% $ 1 4 .3 2 3 ,2 2 8 ,8 7 5 2 8 ,0 2 5 7 0 0 ,6 2 5 0.4 X $ 1 9 .2 2 2 1 .5X -6 .5 X 29,1 0 1 7 2 7 ,5 2 5 0.3% $ 1 9 .9 5 22.3X -5 .1 X 4 0 ,1 1 2 1 ,0 0 2 ,8 0 0 O.SX $ 2 7 .5 0 3 3 ,5 1 2 ,0 2 5 3 5 5 ,8 4 4 8 ,8 9 6 ,1 0 0 4.7 X $ 3 2 .2 9 24.2X 6.7X 3 6 6 ,9 3 9 9 ,1 7 3 ,4 7 5 3.5% $ 3 3 .3 0 2 5 .OX 12.1% 3 5 5 ,1 1 3 8 ,8 7 7 ,8 2 5 4.2% $ 3 2 .2 2 IONIA 4 ,4 1 1 ,1 5 0 3 0 ,1 9 7 7 5 4,925 0.4 X S 1 4 .5 7 2 5 .4X -5 5 .5 X 2 9 ,6 2 8 7 4 0 ,7 0 0 O.SX $ 1 4 .3 0 24.9X -18.9% 2 9 ,6 0 5 740 .1 2 5 O.SX $ 1 4 .2 8 IOSCO 3 ,1 0 8 ,8 5 0 2 5 ,7 8 6 6 4 4 ,6 5 0 0.3 X $ 2 2 .7 4 19.2X -2 3 .6 X 3 1 ,2 7 7 7 8 1 ,9 2 5 0 .3 X $ 2 7 .5 8 23.3X 7.5% 4 1 ,6 2 0 1 ,0 4 0 ,5 0 0 O.SX $ 3 6 .7 0 IRON 1 ,4 9 0 ,8 2 5 1 4,295 3 5 7 ,3 7 5 0.2 X $ 2 6 .2 1 2 3 .OX -2 .4 X 1 4 ,684 3 6 7 ,1 0 0 O . U $ 2 6 .9 2 23.7% 0.9% 1 6 ,9 9 9 4 2 4 ,9 7 5 0.2 X $ 3 1 .1 7 ISABELLA 5 ,1 3 8 ,0 0 0 4 7 ,5 7 7 1 ,1 8 9 ,4 2 5 0.6 X $ 2 1 .9 8 23.9X -4 .1 X 4 9 ,7 7 0 1 ,2 4 4 ,2 5 0 0 .5 X $ 2 2 .9 9 2 5 .OX -2.5% 5 1 ,6 3 5 1 ,2 9 0 ,8 7 5 0.6 X $ 2 3 .8 6 INGHAM 1 1 ,9 2 1 ,2 7 5 1 1 0.216 2 ,7 5 5 ,4 0 0 1.5X $ 1 8 .1 9 22.6X -4 .9 X 1 2 3 ,7 0 7 3 ,0 7 2 ,6 7 5 1.2X $ 2 0.41 2 5 .4X -2.3% 1 2 8 ,5 4 8 3 ,2 1 3 ,7 0 0 1.5X $ 2 1.21 KALAMAZOO 1 6 ,0 8 4 ,5 0 0 JACKSON 162,121 4 ,0 5 3 ,0 2 5 2.2 X $ 1 9 .0 8 23.7X 0.1X 1 7 1 ,3 2 9 4 ,2 8 3 ,2 2 5 1.7% $ 2 0 .1 7 25. U 4.5% 167 ,8 4 0 4 ,1 9 6 ,0 0 0 2.0% $ 1 9 .7 6 KALKASKA 8 7 0,575 6 ,5 5 6 1 6 3 ,900 0.1 X S 1 4 .9 7 2 1 . IX -2 .0 X 8 ,1 8 8 2 0 4 ,7 0 0 O . U $ 1 8 .6 9 26.4X •12.2% 9 ,5 1 2 2 3 7 ,8 0 0 O . U $ 2 1.71 3 6 ,2 4 2 ,4 2 5 3 6 9 ,351 9 ,2 3 3 ,7 7 5 4.9 X $ 2 0 .7 7 24.2X -O.SX 3 7 4 ,4 2 6 9 ,3 6 0 ,6 5 0 3.6 X $ 2 1 .0 6 24.5% 6.1% 3 7 3 ,9 8 2 9 ,3 4 9 ,5 5 0 4 .4 X $ 2 1 .0 3 196,500 1 ,7 9 0 4 4 ,7 5 0 O.OX $ 2 2 .8 0 19.6X B.5X 2 ,2 9 1 5 7 ,2 7 5 O.OX $ 2 9 .1 8 2 5 . IX 13.4X 2 ,8 6 0 7 1 ,5 0 0 0.0% $ 3 6 .4 2 LAKE 2 ,1 5 8 ,0 5 0 1 2 ,0 6 7 3 0 1 ,6 7 5 0.2 X $ 3 9 .1 2 17.6X -27.9% 1 5 ,5 6 2 3 8 9 ,0 5 0 0.2 X $ 5 0 .4 5 22.6X - 2 5 . OX 1 7 ,7 3 9 4 4 3 ,4 7 5 0.2% $ 5 7.51 LAPEER 3 ,7 9 7 ,4 7 5 3 9 ,3 8 3 9 8 4 ,5 7 5 0.5 X $ 1 4 .0 6 23.8X 4.9% 43,4 5 1 1 ,0 8 6 ,2 7 5 0.4 X $ 1 5.51 26.3X 13.9X 4 1 ,1 9 9 1 ,0 2 9 ,9 7 5 0.5% $14.71 LEELANAU 1 ,7 9 5 ,7 5 0 11,415 2 8 5,375 0.2 X $ 2 0 .3 7 17.7X 2.5% 1 5 ,1 9 7 3 7 9 ,9 2 5 O . U $ 2 7 .1 2 23.5X -7 .6 X 2 4 ,2 3 4 6 0 5 ,8 5 0 0.3 X $ 4 3 .2 5 LENAWEE 7 ,2 3 9 ,7 5 0 7 2 ,7 2 5 1 ,8 1 8 ,1 2 5 1.0X $20 .2 1 2 4 .OX 4.4% 7 5 ,4 7 3 1 ,8 8 6 ,8 2 5 0.7 X $ 2 0 .9 8 24.9% S.OX 7 7 ,1 9 2 1 ,9 2 9 ,8 0 0 0.9 X $ 2 1 .4 5 LIV. 4 ,1 5 7 ,2 0 0 4 2 ,5 7 4 1 ,0 6 4 ,3 5 0 0.6 X $ 1 0 .6 1 2 2 . 1X 14.1% 4 9 ,1 8 3 1 ,2 2 9 ,5 7 5 0.5 X $ 1 2 .2 6 25.5% 1 6 .OX 5 1 ,8 3 1 1 ,2 9 5 ,7 7 5 0.6 X $ 1 2 .9 2 0.1% $ 1 8 .6 6 KENT KEWEENAW LUCE MACKINAC MACOMB 3 9 4 ,3 7 5 4 ,0 8 5 102,125 0.1 X $ 1 5 .3 4 22.7% 19.7% 3 ,4 2 1 8 5 ,5 2 5 O.OX $ 1 2 .8 4 19.0% - 3 .U 4 ,9 6 9 124,225 2 ,4 3 4 ,2 0 0 7 ,3 8 7 184,675 0.1X $ 1 8 .1 4 6.SX 1.7% 2 8 ,6 4 8 7 1 6 ,2 0 0 0.3 X $ 7 0 .3 7 2 5 .U 26.7% 6 0 ,9 3 7 1 ,5 2 3 ,4 2 5 0.7% $149.68 7 0 ,5 2 1 ,6 2 5 7 3 7 ,2 1 7 1 8 ,4 3 0 ,4 2 5 9.8 X $ 2 6 .5 3 23.7X 11.1% 794 ,6 9 4 1 9 ,8 6 7 .3 5 0 7 .7X $ 2 8 .6 0 25.6% 9.6X 769 ,2 0 1 1 9 ,2 3 0 ,0 2 5 9.0 X $ 2 7 .6 9 MANISTEE 3 ,5 1 7 ,3 0 0 27,4 5 1 68 6,275 0.4 X $29 .8 1 19.2X -S.8X 3 6 ,2 1 3 9 0 5 ,3 2 5 0.4 X $ 3 9 .3 3 25.3% -1 .4 X 4 4 ,9 4 0 1 ,1 2 3 ,5 0 0 0.5% $48.81 MARQUETTE 6 ,2 0 4 ,0 0 0 62,2 7 1 1 ,5 5 6 ,7 7 5 O.SX $21 .0 1 2 2 .OX 6.3% 7 2 ,7 7 7 1 ,8 1 9 ,4 2 5 0.7% $ 2 4.55 25.7X 25.2% 7 6 ,9 8 5 1 ,9 2 4 ,6 2 5 0.9% $ 2 5 .9 7 MASON 2 ,7 9 7 ,7 0 0 2 4 ,4 5 0 6 1 1 ,2 5 0 0.3 X $ 2 3 .1 8 2 1 .OX 0.3% 2 7 ,9 7 7 6 9 9 ,4 2 5 0.3X $ 2 6 .5 3 2 4 .1X 2.6X 3 4 ,5 3 8 8 6 3 ,4 5 0 0.4% $ 3 2 .7 5 MECOSTA 3 ,9 5 4 ,3 7 5 3 6 ,3 4 8 9 0 8 ,7 0 0 0.5 X $ 2 4 .5 9 24.7X -3.2% 3 6 ,0 1 8 9 0 0 ,4 5 0 0.3X $ 2 4 .3 6 24.5% 0.2% 3 6 ,3 0 3 9 0 7 ,5 7 5 0.4% $ 2 4 .5 5 MENOMINEE 3 ,2 7 9 ,1 2 5 3 3 ,6 2 5 8 4 0 ,6 2 5 0.4 X $ 3 2 .0 8 2 3 . 7X 13.6% 3 5 ,0 4 7 8 7 6 ,1 7 5 0.3X $ 3 3 .4 4 24.7% 7.8% 3 5 ,9 4 7 8 9 8 ,6 7 5 0.4 X $ 3 4 .3 0 MIDLAND 3 ,9 5 3 ,0 2 5 3 9 ,0 3 2 9 7 5 ,8 0 0 0 .5 X $ 1 3 .2 6 2 4 . 7X 0.5X 4 0 ,3 2 9 1 ,0 0 8 ,2 2 5 0.4 X $ 1 3 .7 0 25.5% -4.4% 38 ,4 0 1 9 6 0 ,0 2 5 0.5% $ 1 3 .0 5 COUNTY TOTAL TAVERNS SALES SALES 8 CLUBS REVENUES REVENUES SALES SALES TAX TAX 1984 PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8 4 ( 1 )T0 8 CLUBS SALES YEAR 8 5 (1 ) 19 8 5 (1 ) SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL B4(2)TO t CLUBS SALES SALES TAX TAX SALES YEAR 8 5 (2 ) 1 9 8 5 (2 ) SALES REVENUES PERCENT PER OF TOTAL CAPITA SALES SALES TAX TAX SALES 1 9 8 5 (3 ) Missauk ee 1 ,0 0 4 ,1 0 0 6 ,9 9 4 1 7 4 ,850 0.1 X S 1 7 .4 7 18.9X 3 . IX 9 ,9 9 2 2 4 9 ,8 0 0 0.1 X $ 2 4 .9 6 2 7 .OX -6 .1 X 10 ,6 6 0 2 6 6 ,5 0 0 MONROE 9 ,2 3 9 ,5 0 0 8 1 ,5 0 8 2 ,0 3 7 ,7 0 0 1.1X S 1 5 .1 3 22.2X -7 .9 X 8 9 ,7 7 2 2 ,2 4 4 ,3 0 0 0.9 X $ 1 6 .6 7 24.5X -5 .8 X 9 8 ,1 0 8 2 ,4 5 2 ,7 0 0 1.2X $18 .2 1 MONTCALM 3 ,5 0 9 ,2 5 0 3 4 ,3 6 3 8 5 9 ,0 7 5 0.5 X $ 1 8 .0 6 2 1 .9X 5.8X 3 8 ,4 0 9 9 6 0 ,2 2 5 0.4 X $ 2 0 .1 9 2 4 .SX 7.4X 4 1 ,6 0 4 1 ,0 4 0 ,1 0 0 0 .5 X $ 2 1 .8 7 0 .2 X $ 5 5 .8 3 MONTH. 0 .1 X $ 2 6 .6 3 1 ,1 2 5 ,5 7 5 7 ,6 1 8 1 9 0 ,450 0.1 X $ 2 5 .4 2 15.9X -1 2 .7 X 1 0 ,7 4 9 2 6 8 ,7 2 5 0.1 X $ 3 5 .8 7 22.4X 5.8X 1 6 ,7 3 0 4 1 8 ,2 5 0 MUSKEGON 1 1 ,3 7 2 ,8 0 0 131,840 3 ,2 9 6 ,0 0 0 1.8X $ 2 0 .9 2 2 4 .6X 23.5X 1 33 ,4 2 6 3 ,3 3 5 ,6 5 0 1.3X $ 2 1 .1 7 2 4 .9X 21.5X 1 33,633 3 ,3 4 0 ,8 2 5 1.6X $ 2 1 .2 0 NEWAYGO 2 ,4 3 6 ,6 2 5 2 0 ,0 8 7 5 0 2 ,175 0.3 X $ 1 4 .3 8 19.7X 3 . OX 2 7 ,9 1 5 6 9 7 ,8 7 5 0.3 X $ 1 9 .9 9 27.4X 12.7X 2 8 ,8 6 5 7 2 1 ,6 2 5 0.3 X $ 2 0 .6 7 OAKLAND 9 6 ,1 2 6 ,5 5 0 8 6 4 ,1 4 8 2 1 ,6 0 3 ,7 0 0 1 1 .SX $ 2 1 .3 5 2 4 .4X -6 .7 X 8 8 9 ,0 7 9 2 2 ,2 2 6 ,9 7 5 8.6 X $ 2 1 .9 7 2 5 . IX -7 .8 X 8 5 9 ,8 2 6 2 1 ,4 9 5 ,6 5 0 10.1X $ 2 1 .2 5 OCEANA 2 ,2 1 0 ,4 0 0 15,435 3 8 5 ,8 7 5 0.2 X $ 1 7 .5 4 16.6X -2 .9 X 2 3 ,8 4 9 5 9 6 ,2 2 5 0.2 X $ 2 7 .1 0 25.9X -0 .6 X 3 0 ,5 6 4 7 6 4 ,1 0 0 0.4 X $ 3 4 .7 3 OGEMAW 1 ,1 2 8 ,1 2 5 8 ,7 4 2 2 1 8 ,5 5 0 0.1 X $ 1 3 .3 0 20.3X -2 7 .3 X 1 0 ,4 7 9 261,9 7 5 0.1 X $ 1 5 .9 4 2 4 .4X 2.2X 1 0 ,9 2 6 2 7 3 ,1 5 0 0 .1 X $ 1 6 .6 2 ONTONAGON 1 ,5 1 0 ,6 5 0 1 3 ,876 3 4 6 ,9 0 0 0.2 X $ 3 5 .1 8 20.8X 20.3X 1 4 ,445 3 6 1 ,1 2 5 0.1 X $ 3 6 .6 2 2 1 .6X 6.7X 2 0 ,0 5 8 5 0 1 ,4 5 0 0 .2 X $ 5 0 .8 5 OSCEOLA 1 ,3 3 2 ,6 2 5 1 2 ,9 8 9 32 4 ,7 2 5 0.2 X $ 1 7 .1 6 2 2 .OX 19.5X 15,951 3 9 8 .7 7 5 0.2 X $ 2 1 .0 7 2 7 .OX 17.6X 14,2 0 3 3 5 5 ,0 7 5 0.2X $ 1 8 .7 6 OSCOOA 55 4 ,0 0 0 5 ,0 5 1 12 6 ,275 Q.1X $ 1 8 .4 1 19.2X -6 .5 X 5 ,4 4 9 136 ,2 2 5 O . U $ 1 9 .8 6 20.7X -B .3X 7 ,0 8 4 1 7 7 ,1 0 0 O . U $ 2 5 .8 2 OTSEGO 1 ,3 1 0 .8 5 0 12,664 3 1 6 ,6 0 0 0.2 X $ 2 1 .1 2 2 1 .4X 3.3X 1 3 ,7 2 7 3 4 3 ,1 7 5 0.1X $ 2 2 .8 9 23.2X 7.6X 1 7 ,7 5 6 4 4 3 ,9 0 0 0 .2 X $29.61 OTTAWA 8 ,0 8 1 ,3 7 5 73 ,614 1 ,8 4 0 ,3 5 0 1.0X $ 1 1 .7 1 22.6X -O.SX 8 6 ,6 6 4 2 ,1 6 6 ,6 0 0 O.BX $ 1 3 .7 8 26.6X 7.4X 9 1 ,5 3 6 2 ,2 8 8 ,4 0 0 1.1X $ 1 4 .5 6 PRES. IS . 1 ,8 6 8 ,4 7 5 1 8 ,3 8 7 4 5 9 ,6 7 5 0.2X $ 3 2 .2 2 2 4 . OX 5 . IX 18,0 9 2 4 5 2 ,3 0 0 0.2 X $ 3 1 .7 0 23.6X 7.5X 2 0 ,8 0 0 5 2 0 ,0 0 0 0.2X $ 3 6 .4 5 ROSCOMMON 3 ,1 4 2 ,8 2 5 2 6 ,5 4 9 6 6 3 ,7 2 5 0 .4 X $ 4 0 .5 4 2 0 .OX 2.2X 30,8 1 1 770,2 7 5 0.3 X $ 4 7 .0 4 23.2X 3.4 X 4 3 ,9 2 2 1 ,0 9 8 ,0 5 0 0.5 X $ 6 7 .0 6 1 9 ,7 5 2 ,0 5 0 192,231 4 ,8 0 5 ,7 7 5 2.6X $ 2 1 .0 7 23.7X -1 .4 X 2 1 0 ,2 8 4 5 ,2 5 7 ,1 0 0 2 . OX $ 2 3 .0 5 2 5 .9X 6 . OX 199,325 4 ,9 8 3 ,1 2 5 2.3X $ 2 1 .8 5 ST. CLAIR 1 1 ,0 8 1 ,4 7 5 9 3 ,9 7 7 2 ,3 4 9 ,4 2 5 1.2X $ 1 6 .9 3 20.2X -4 .9 X 119 ,1 0 9 2 ,9 7 7 ,7 2 5 1.2X $ 2 1 .4 5 25.7X 1.BX 136,525 3 ,4 1 3 ,1 2 5 1.6X $ 2 4 .5 9 ST.JOSEPH 8 ,4 6 8 .8 0 0 7 4 ,2 7 7 1 ,8 5 6 ,9 2 5 1.0X $ 3 3 .1 1 20.9X 0.9X 9 5 ,1 2 9 2 ,3 7 8 ,2 2 5 0.9X $42 .4 1 26.8X 8.7 X 1 0 1 ,2 3 9 2 ,5 3 0 ,9 7 5 1.2X $ 4 5 .1 3 SANILAC 3 ,4 5 3 ,7 7 5 3 2 ,4 8 3 81 2 ,0 7 5 0.4 X $ 1 9 .9 1 23.2X 3.5X 3 6 ,1 8 9 9 0 4 ,7 2 5 0.3X $ 2 2 .1 8 25.9X 2 . IX 3 8 ,0 0 8 9 5 0 ,2 0 0 0.4 X $ 2 3 .3 0 SCHCRFT. 1 ,0 5 5 ,3 2 5 9 ,9 6 3 2 4 9 ,0 7 5 0.1 X $ 2 9 .0 5 22.9X -3 .3 X 1 0 ,0 7 9 251,9 7 5 0.1X $ 2 9 .3 8 23.2X -1 .1 X 12,091 3 0 2 ,2 7 5 O . U $ 3 5 .2 5 SHIAWASSE 4 ,5 1 8 ,0 7 5 4 9 ,8 7 4 1 ,2 4 6 ,8 5 0 0.7 X $ 1 7 .5 3 2 5 .7X 11.9X 5 0 ,0 4 0 1 ,2 S 1 ,0 0 0 O.SX $ 1 7 .5 9 2 5 . SX 1 3 .BX 4 7 ,1 5 7 1 ,1 7 8 ,9 2 5 0.6X $ 1 6 .5 7 TUSCOLA 4 ,5 6 0 ,4 5 0 4 5 ,6 4 4 1 ,1 4 1 ,1 0 0 0.6 X $ 2 0 .0 3 2 4 .OX 2.5X 4 7 ,7 0 8 1 ,1 9 2 ,7 0 0 0.5 X $ 2 0 .9 4 2 5 . 1X 4.4 X 4 8 ,1 7 2 1 ,2 0 4 ,3 0 0 0.6 X $ 2 1 .1 4 VAN BUREH 5 ,8 0 4 ,3 5 0 4 6 ,6 1 5 1 ,1 6 5 ,3 7 5 0.6 X $ 1 7 .4 4 20.2X -8 .4 X 5 8 ,2 4 7 1 ,4 5 6 ,1 7 5 0.6X $ 2 1 .7 9 25.2X -0 .9 X 6 9 ,4 7 6 1 ,7 3 6 ,9 0 0 O.BX $ 2 6 .0 0 WASHTENAW 1 5 ,9 4 8 ,5 5 0 156,655 3 ,9 1 6 ,3 7 5 2 . IX $ 1 4 .7 9 2 3 . 7X -9 .7 X 161,501 4 ,0 3 7 ,5 2 5 1.6X $ 1 5 .2 5 24.5X 1.8X 175.61B 4 ,3 9 0 ,4 5 0 2 . U $ 1 6 .5 8 1 6 8 ,6 3 9 ,0 7 5 1 ,6 9 4 ,5 8 3 4 2 ,3 6 4 ,5 7 5 2 2 .SX $ 1 8 .1 2 23.7X 0.4X 1 ,8 1 5 ,5 7 4 4 5 ,3 8 9 ,3 5 0 17.6X $ 1 9.41 2 5 .4X 5.6X 1 ,7 5 5 ,1 8 4 4 3 ,8 7 9 ,6 0 0 20.6X $ 1 8 .7 7 WEXFORD 3 ,0 0 9 ,1 2 5 2 9 ,5 9 7 7 3 9 ,925 0.4 X $ 2 9 .4 8 23.2X OUT/STATE 1 ,9 1 4 ,4 7 5 1 4 ,648 3 6 6 ,2 0 0 0.2X SAGINAW WAYNE 0.4X 3 3 ,3 7 0 8 3 4 ,2 5 0 -5 8 .9 X 2 ,1 4 4 ,4 6 2 1 3 .OX 5 3 ,6 1 1 ,5 5 0 0.3 X $ 3 3 .2 3 20.7X 1 7 .OX 3 5 ,6 9 9 8 9 2 ,4 7 5 0.4 X $ 3 5 .5 5 63.3X 13986. IX 2 0 ,0 3 4 5 0 0 ,8 5 0 0.2X 26.2X COUNTY TOTAL TAVERNS SALES SALES A CLUBS REVENUES REVENUES SALES SALES TAX TAX 1984 PERCENT PER PERCENT CHANGE SALES YEAR 1 9 8 5 (1 ) TOTAL 7 8 8 ,0 2 3 ,5 5 0 COUNTY IV 9 ,4 7 1 ,1 9 4 8S(1> SALES REVENUES PERCENT PER PERCENT 2 ,2 6 3 ,1 4 4 100.0% 21.0% $ 2 0 .2 8 SALES SALES TAX TAX TAVERNS SALES YEAR 8 5 (2 ) SALES REVENUES PERCENT PER OF TOTAL CAPITA SALES SALES TAX TAX SALES 1 9 8 5 (3 ) -0 .4 X 1 0 ,3 4 4 ,3 3 8 2 5 8 ,6 0 8 ,4 5 0 9 8 ,7 9 4 CHANGE OF TOTAL CAPITA OF TOTAL 84(2>TO A CLUBS 1 9 8 5 (2 ) 7 ,5 2 8 ,2 8 7 1 8 8 ,2 0 7 ,1 7 5 9 0 ,5 2 6 TAVERNS OF TOTAL CAPITA OF TOTAL B4(1)TO A CLUBS 2 ,4 6 9 ,8 4 2 100.0% 28.8% $ 2 2 .1 3 30.8% 8 ,5 0 8 ,7 2 4 2 1 2 ,7 1 8 ,1 0 0 1 0 2 ,2 7 3 2 ,5 5 6 ,8 3 4 100.0% $22 .9 1 268 COUNTY PERCENT CHANGE TAVERNS OF TOTAL 8 4 (3 )1 0 I CLUBS YEAR 8 5 (3 ) SALES REVENUES CHANGE TOTAL TOTAL TAVERNS OF TOTAL CAPITA OF TOTAL B4(4)TO SALES PERCENT SALES A CLUBS REVENUES SALES SALES TAX TAX SALES SALES TAX TAX PER SALES PERCENT YEAR 8 5 (4 ) TAX 1985 1985 198 5 (4 ) SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8 S (1 )T 0 $ CLUBS SALES YEAR 8 6 (1 ) SALES TAX 19 8 6 (1 ) 19 8 6 (2 ) ALCONA 35.2X -6 .2 X 17,6 7 4 4 4 1 ,8 5 0 0.2 X $ 4 5 .3 6 24.4X - 5 . IX 7 2 ,3 8 6 1 ,8 0 9 ,6 5 0 1 2 ,3 0 0 3 0 7 ,5 0 0 0.2 X $ 3 1 .5 7 1 5 .OX 11.6X 19,5 7 5 ALGER 33.9X 3 . IX 2 1 ,021 5 2 5,525 0.2 X $ 5 6 .9 7 2 2 . IX 4 .6 X 9 5 ,0 0 2 2 ,3 7 5 ,0 5 0 14,911 3 7 2 ,7 7 5 0.2 X $ 4 0 .4 1 2 0 . IX - 2 1 . IX 17,911 ALLEGAN 33.3X 4 . OX 6 5 ,7 3 2 1 ,6 4 3 ,3 0 0 0.7 X $ 2 0 .1 5 20.5X 9 .5 X 3 2 1 ,0 4 3 8 ,0 2 6 ,0 7 5 5 9 ,3 2 8 1 ,4 8 3 ,2 0 0 O.SX $ 1 8 .1 9 17.7X 1.5X 9 1 ,8 3 6 ALPENA 2 5 .3X 1.SX 3 2 ,9 9 7 8 2 4,925 0.3 X $ 2 5 .5 3 25.9X -1 .1 X 127,6 3 8 3 ,1 9 0 ,9 5 0 2 6 ,8 5 5 6 7 1 ,3 7 5 0 .3 X $ 2 0 .7 8 2 3 . IX -7 .4 X 2 9 ,561 ANTRIM 38.3X -12.6X 1 6 ,045 4 0 1 ,1 2 5 0.2 X $ 2 4 .7 7 2 1 .3X - 1 4 . OX 75,3 1 1 1 ,8 8 2 ,7 7 5 1 3 ,4 3 0 3 3 5 ,7 5 0 0.2X $ 2 0 .7 3 16.8X 34.2X 1 9 ,9 7 7 ARENAC 3 1 .SX 9 . IX 22,4 0 1 5 6 0,025 0.2 X $ 3 8 .0 8 2 4 .6X 12.2X 9 1 ,2 0 1 2 ,2 8 0 ,0 2 5 1 7 ,5 1 6 4 3 7 ,9 0 0 0.2 X $ 2 9 .7 8 21 .OX 7.1X 2 2 ,3 3 8 BARAGA 2 8 . IX -0 .7 X 6 ,3 3 8 158,450 0.1X $ 1 8 .6 8 2 4 .4X 15.3X 2 5 ,9 5 9 6 4 8 ,9 7 5 4 ,8 0 0 120 ,0 0 0 0.1 X $ 1 4 .1 4 18.8X •1 4 .4 X 6 ,7 3 9 BARRY 2 6 .2X • 1 1 .3X 2 0 ,9 5 6 5 2 3 ,9 0 0 0.2X $ 1 1 .4 4 2 5 .OX 4.6 X 8 3 ,9 3 2 2 ,0 9 8 ,3 0 0 1 9 ,4 8 8 4 8 7 ,2 0 0 0.2 X $ 1 0 .6 4 2 3 .BX 0.7 X 2 0 ,1 3 6 BAY 2 6 . 1X -3 .7 X 1 0 1,426 2 ,5 3 5 ,6 5 0 1.1X $ 2 1 .1 5 2 5 .2X 6.6 X 4 0 2 ,4 8 8 1 0 ,0 6 2 ,2 0 0 9 8 ,0 9 3 2 ,4 5 2 ,3 2 5 1.3X $ 2 0 .4 6 24.2X 6 .U 106 ,2 2 5 BENZIE 38.7X 2.5X 6 ,3 9 9 159.975 O . U $ 1 4 .2 8 17.7X -1 4 .4 X 3 6 ,1 5 6 9 0 3 ,9 0 0 3 ,0 7 0 7 6 ,7 5 0 O.OX $ 6 .8 5 10.6X -50.7% 7 ,5 9 5 BERRIEN 28.SX -4 .0 X 169,364 4 ,2 3 4 ,1 0 0 1.8X $ 2 4 .7 2 23.3X -1 .8 X 7 2 5 ,3 8 3 1 8 ,1 3 4 ,5 7 5 1 5 2 ,8 1 7 3 ,8 2 0 ,4 2 5 2 . OX $ 2 2 .3 1 21.9X 1.1X 179 ,1 5 4 BRANCH 2 4 .9X -20.4X 2 2 ,4 4 7 5 6 1,175 0.2X $ 1 3 .9 6 2 5 .4X -4 .8 X 8 8 ,3 8 5 2 ,2 0 9 ,6 2 5 2 4 ,7 6 0 6 1 9 ,0 0 0 0 .3 X $ 1 5 .4 0 23.5X 19.7X 2 8 ,5 5 7 CALHOUN 24.8X -0 .3 X 106,095 2 ,6 5 2 ,3 7 5 1 . IX $ 1 8 .7 4 2S.4X 6.6 X 4 1 7 ,7 9 2 1 0 ,4 4 4 ,8 0 0 9 7 ,6 0 3 2 ,4 4 0 ,0 7 5 1.2X $ 1 7 .2 4 23.7X -3 .2 X 104 ,3 0 2 CASS 29.3X -3 .4 X 4 2 ,5 5 7 1 ,0 6 3 ,9 2 5 0.4X $ 2 1 .4 9 2 3 .OX 6.1X 185,426 4 ,6 3 5 ,6 5 0 4 1 ,3 4 6 1 ,0 3 3 ,6 5 0 0 .5 X $ 2 0 .8 8 20.4X 6.6X 5 4 ,8 6 3 CHARLVX. 39.5X -1 .8 X 18 ,235 4 5 5 ,8 7 5 0.2X $ 2 2 .9 0 19.7X 5.5 X 9 2 ,7 2 6 2 ,3 1 8 ,1 5 0 15,5 6 2 3 8 9 ,0 5 0 0 .2 X $ 1 9 .5 4 1 6 .U •0 .3 X 2 5 ,3 9 9 CHEBOYGAN 31.8X 16.2X 2 1 ,8 3 1 5 4 5,775 0.2X $ 2 6 .4 3 2 2 .OX 22.5X 9 9 ,0 9 4 2 ,4 7 7 ,3 5 0 18 ,1 5 9 4 5 3 ,9 7 5 0.2 X $ 2 1 .9 9 20.9X -9 .7 X 2 2 ,5 2 7 CHIPPEUA 3 2 .ZX 17.8X 4 1 ,3 5 8 1 ,0 3 3 ,9 5 0 0.4X $ 3 5 .6 2 2 4 .OX 1 9 .BX 172 ,1 5 9 4 ,3 0 3 ,9 7 5 3 4 ,1 0 6 8 5 2 ,6 5 0 0 .4 X $ 2 9 .3 7 20. U O.SX 4 2 ,1 8 7 CLARE 2 7 .7X - 6 . IX 2 6 ,1 9 2 6 5 4 ,8 0 0 0 .3 X $ 2 7 .4 9 27.3X -3 .4 X 9 5 ,8 3 8 2 ,3 9 5 ,9 5 0 2 1 ,471 536 ,7 7 5 0 .3 X $ 2 2 .5 3 2 1 .3X 10.7X 24,711 CLINTON 23.6X - 1 1 .SX 3 5 ,2 9 9 8 8 2,475 0 .4 X $ 1 5 .7 9 2 6 .OX -0 .6 X 1 3 5 ,8 5 9 3 ,3 9 6 ,4 7 5 3 4 ,8 3 2 8 7 0 ,8 0 0 0 .4 X $ 1 5 .5 8 24.7X 1.BX 3 4 ,6 7 0 CRAWFORD 32.8X -3 .8 X 1 6 ,0 4 2 4 0 1 ,0 5 0 0.2X $ 4 2 .3 7 23.6X 4.2X 6 7 ,8 8 2 1 ,6 9 7 ,0 5 0 13 ,3 9 8 3 3 4 ,9 5 0 0.2 X $ 3 5 .3 9 17.8X 6.2 X 1 7 ,6 6 8 DELTA 27.3X 12.8X 6 5 ,0 4 7 1 ,6 2 6 ,1 7 5 0.7X $ 4 1 .7 5 27.4X 1 2 .SX 2 3 7 ,6 2 6 5 ,9 4 0 ,6 5 0 5 6 ,0 0 7 1 ,4 0 0 ,1 7 5 0.7 X $ 3 5 .9 5 23.3X 3.3X 6 0 ,5 5 3 DICKINSON 2 5 .BX -1 0 .6 X 2 9 ,9 7 3 749,325 0.3X $ 2 9 .5 7 24.3X - 1 3 . IX 1 2 3 ,4 9 7 3 ,0 8 7 ,4 2 5 3 0 ,1 6 3 754 ,0 7 5 0.4 X $ 2 9 .7 6 2 4 . IX -1 .7 X 3 0 ,4 4 0 EATON 2 3 .SX -1 1 .9 X 4 5 ,2 2 9 1 ,1 3 0 .7 2 5 0.5X $ 1 2 .8 0 24.8X -1 3 .2 X 182,4 6 8 4 ,5 6 1 .7 0 0 4 3 ,7 1 5 1 .0 9 2 ,8 7 5 0 .6 X $ 1 2 .3 7 26.SX -t.3 X 4 0 .9 5 2 EMMET 4 2 . IX 22.2X 6 7 ,7 6 8 1 ,6 9 4 ,2 0 0 0 .7 X $ 7 3 .6 9 2 1 . 7X 29.5X 3 1 2 ,3 8 8 7 ,8 0 9 ,7 0 0 6 3 ,9 5 8 1 ,5 9 8 ,9 5 0 0 .8 X $ 6 9 .5 4 17.4X 40.2X 7 5 ,0 9 6 GENESSE 2 4 .2X 0.3X 3 8 4,781 9 ,6 1 9 ,5 2 5 4 . OX $ 2 1 .3 6 2 6 .OX 5.9 X 1 ,4 7 8 ,3 5 9 3 6 ,9 5 8 ,9 7 5 367,511 9 ,1 8 7 ,7 7 5 4.7 X $ 2 0 .4 0 2 4 .SX -1 .6 X 3 6 9 ,7 4 8 GLADWIN 32.2X IB.OX 1 7 ,5 5 7 4 3 8,925 0 .2 X $ 2 1 .9 9 26.6X 16.4X 6 6 ,0 0 7 1 ,6 5 0 ,1 7 5 13.551 3 3 8 ,7 7 5 0.2 X $ 1 6 .9 8 18.9X 15.7X 1 8 ,5 0 6 GOGEBIC 2 8 .SX 7.2X 2 0 ,6 1 3 5 1 5,325 0.2X $ 2 6 .1 8 2 3 .OX -1 .2 X 8 9 ,4 5 6 2 ,2 3 6 ,4 0 0 23 ,201 5 8 0 ,0 2 5 0.3 X $ 2 9 .4 6 25.2X 3.2X 2 2 ,0 5 0 GR. TRAV. 3 4 .SX 28 . ax 8 4 ,1 4 5 2 ,1 0 3 ,6 2 5 0 .9 X $ 3 8 .3 2 23.7X 30.3X 3 5 5 ,1 7 7 8 ,8 7 9 ,4 2 5 7 3 ,7 6 8 1 ,8 4 4 ,2 0 0 0 .9 X $ 3 3 .5 9 7 . IX 9.5 X 8 3 ,4 0 0 COUNTY PERCENT CHANGE TAVERNS OF TOTAL M O T TO I CLUBS .YEAR 8 5 (3 ) SALES REVENUES CHANGE TOTAL TOTAL TAVERNS SALES OF TOTAL CAPITA OF TOTAL M (4)T O SALES SALES t CLUBS REVENUES REVENUES SALES SALES TAX TAX PERCENT SALES SALES TAX TAX PER SALES PERCENT YEAR 6 5 (4 ) TAX 1985 1985 1985(4) PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8 5 (1 )T 0 t CLUBS SALES YEAR 8 6 (1 ) SALES TAX 1 9 8 6 (1 ) 1 9 8 6 (2 ) GRATOIT 2 5 .6X -2 .7 X 2 2 ,6 9 6 5 6 7 ,4 0 0 0.2 X S 1 4 .0 3 2S.1X 1.8X 9 0 ,4 0 3 2 ,2 6 0 .0 7 5 2 3 ,7 1 2 5 9 2 ,8 0 0 0 .3 X $ 1 4 .6 6 23.6X 13.8X 2 4 ,1 0 3 HILLSOALE 27.3X 1 9 .IX 2 5 ,5 3 6 6 3 8 ,4 0 0 O.SX $ 1 5 .1 7 25.9X 10.3X 9 8 ,7 2 7 2 ,4 6 8 ,1 7 5 2 2 ,4 3 8 5 6 0 ,9 5 0 0 .3 X $ 1 3 .3 3 22.2X 6.9 X 2 4 ,5 9 2 HOUGHTON 27.3X 6.2X 4 1 ,2 0 5 1 ,0 3 0 ,1 2 5 0 .4 X S 2 7 .2 0 22.7X -4 .9 X 181 ,4 6 4 4 ,5 3 6 ,6 0 0 3 7 ,9 7 4 9 4 9 ,3 5 0 O.SX $ 2 5 .0 7 2 3 . IX -1 7 .4 X 3 8 ,9 9 8 HURON 3 0 .BX 2 0 .BX 3 3 ,0 6 3 8 2 6,575 0 .3 X $ 2 2 .6 7 25.4X -6 .3 X 130,301 3 ,2 5 7 ,5 2 5 2 8 ,5 2 9 7 1 3 ,2 2 5 0 .4 X $ 1 9 .5 6 21 .OX 1.8X 3 4 ,6 5 2 INGHAM 24.2X 7.9X 3 9 1 ,6 1 5 9 ,7 9 5 ,3 7 5 4 . IX $ 3 5 .5 5 26.7X 11.8X 1 ,4 6 9 ,7 1 1 3 6 ,7 4 2 ,7 7 5 3 6 8 ,9 1 5 9 ,2 2 2 ,8 7 5 4 .7 X $ 3 3 .4 7 2 4 .2X 3.7 X 3 M .2 8 9 IONIA 24.9X -2 7 .0 X 2 9 ,5 4 3 738,575 0 .3 X $ 1 4 .2 5 2 4 . ex -6 .0 X 1 1 8 ,9 7 3 2 ,9 7 4 ,3 2 5 2 5 ,431 6 3 5 ,7 7 5 0 .3 X $ 1 2 .2 7 2 3 .OX -1 5 .8 X 2 8 ,4 2 4 IOSCO 31 .OX 1 6 .OX 3 5 ,791 8 9 4 ,7 7 5 0 .4 X $ 3 1 .5 6 26.6X 39.7X 1 3 4 ,4 7 4 3 ,3 6 1 ,6 5 0 3 1 ,1 8 5 7 7 9 ,6 2 5 0.4 X $ 2 7 .5 0 20.5X 20.9X 3 7 ,5 8 5 IRON 27.4X 1 3 .OX 1 6 ,OM 4 0 2 ,1 0 0 0.2 X $ 2 9 .4 9 2 5 .9X 4.4X 6 2 ,0 6 2 1 , S S I ,550 1 4 ,M 3 3 7 1 ,0 7 5 0 .2 X $ 2 7.21 23.7X 3 .6 X 1 3 ,7 0 9 ISABELLA 25.9X S .IX 50,141 1 ,2 5 3 ,5 2 5 0 .5 X $ 2 3 .1 7 2S.2X -1 0 .0 X 199 ,1 2 3 4 ,9 7 8 ,0 7 5 4 5 ,6 9 5 1 ,1 4 2 ,3 7 5 0 .6 X $ 2 1.11 23.4X -4 .0 X 5 0 ,5 0 2 JACKSON 26.4X 4.3X 124,544 3 ,1 1 3 ,6 0 0 1.3X $ 2 0 .5 5 25.6X 12.2X 4 8 7 ,0 1 5 1 2 ,1 7 5 ,3 7 5 113 ,4 7 0 2 ,8 3 6 ,7 5 0 1.4X $ 1 8 .7 3 2 2 .BX 3 . OX 1 2 8 ,7 4 8 KALAMAZOO 24.5X B.2X 182,532 4 ,5 6 3 ,3 0 0 1.9X $ 2 1 .4 9 26.7X 12.4X 6 8 3 ,8 2 2 1 7 ,0 9 5 ,5 5 0 167,151 4 .1 7 8 ,7 7 5 2 . IX $ 1 9 .6 8 23.4X 3 . IX 1 7 8 .M 5 -1 2 .6 X 31,0 0 1 775,0 2 5 5 ,3 0 3 132,575 0 .1 X $12 .1 1 19.4X - 1 9 . IX 7 ,0 1 4 8.4 X 1 ,5 2 7 ,5 7 8 3 8 ,1 8 9 ,4 5 0 3 8 9 ,0 1 7 9 ,7 2 5 ,4 2 5 5 . OX $ 2 1 .8 8 2 4 .OX 5.3X 3 9 9 ,8 6 8 KALKASKA 30.7X - 1 4 .2X 6 ,7 4 5 168,625 0 .1 X $ 1 5 .4 0 2 1 . BX KENT 2 4 .SX 7.6X 4 0 9 ,8 1 9 1 0 ,2 4 5 ,4 7 5 4 .3 X $ 2 3 .0 5 26.8X KEUEEHAU 3 1 .4X 27.7X 2,171 5 4 ,2 7 5 O.OX $ 2 7 .6 5 2 3 .8X 1 1 .3X 9 ,1 1 2 2 2 7 ,8 0 0 2 ,2 7 7 5 6 ,9 2 5 O.OX $ 2 9 .0 0 26.8X 27.2X 2 ,2 7 7 LAKE 2 5 . BX - 3 0 .BX 2 3 ,384 5 8 4 ,6 0 0 0 .2 X $ 7 5 .8 1 3 4 .OX 0.8X 6 8 ,7 5 2 1 ,7 1 8 ,8 0 0 17,975 4 4 9 ,3 7 5 0 .2 X $ 5 8 .2 8 19.3X 4 9 . OX 2 2 ,6 8 7 4 3 ,4 5 5 LAPEER 2 4 .9X 4.9X 4 1 ,4 7 7 1 ,0 3 6 ,9 2 5 0.4 X $ 1 4.81 2 5 . IX 12.3X 1 6 5 ,5 1 0 4 ,1 3 7 ,7 5 0 3 9 ,1 4 1 9 7 8 ,5 2 5 0.5 X $ 1 3 .9 7 2 3 .SX -0 .6 X LEELANAU 37.SX - 2 1 .3X 13,7 3 6 3 4 3 ,4 0 0 0.1 X $ 2 4 .5 2 2 1 .3X 2.1X 6 4 ,5 8 2 1 ,6 1 4 ,5 5 0 1 2 ,7 2 6 3 1 8 ,1 5 0 0.2 X $ 2 2.71 1 5 .IX 11.5X 19,6 0 4 LENAUEE 2 5 .SX 5.9X 7 7 ,3 8 9 1 ,9 3 4 ,7 2 5 O.SX $ 2 1.51 25.6X 3 . OX 3 0 2 ,7 7 9 7 ,5 6 9 ,4 7 5 7 2 ,9 6 2 1 ,8 2 4 ,0 5 0 0.9 X $ 2 0 .2 8 2 4 . IX 0.3X 7 7 ,5 3 9 52,0 6 1 LIV. 26.9X 15.4X 4 9 ,4 2 6 1 ,2 3 5 ,6 5 0 0.5 X $ 1 2 .3 2 2S.6X 18.7X 193,014 4 ,8 2 5 ,3 5 0 4 6 .1 6 8 1 ,1 5 4 ,2 0 0 0.6 X $11 .5 1 2 1 .3X 6 .4 X LUCE 27.6X -2 .9 X 5 ,4 9 8 137,450 0.1 X $ 2 0 .6 4 30.6X 48.2X 1 7 ,9 7 3 4 4 9 ,3 2 5 4 ,5 2 6 113,150 0 .1 X $ 1 6 .9 9 2 3 .OX 10.8X 4 ,0 3 4 MACKINAC S3.SX 10.8X 16,9 6 6 4 2 4 ,1 5 0 0.2 X $ 4 1 .6 7 14.9X 3 5 .5X 1 1 3 ,9 3 8 2 .M 8 .4 5 0 9 ,7 4 2 2 4 3 ,5 5 0 0 .1 X $ 2 3 .9 3 7.7X 31.9X 3 0 ,4 1 6 12.9X 3 ,1 0 9 ,1 6 7 MACOMB 24.7X 7.3X 8 0 8 ,0 5 5 2 0 ,2 0 1 ,3 7 5 8 .5 X $ 2 9 .0 8 2 6 .OX 7 7 ,7 2 9 ,1 7 5 7 8 9 ,2 1 8 1 9 ,7 3 0 ,4 5 0 1 0 . IX $28 .4 1 24.5X 7 . IX 838 ,7 7 1 MANISTEE 3 1 .4X 3.9X 3 4 ,4 2 0 8 6 0 ,5 0 0 0 .4 X $ 3 7 .3 8 2 4 . IX 9 . IX 143 ,0 2 4 3 ,5 7 5 ,6 0 0 2 6 ,7 5 8 6 6 8 ,9 5 0 0 .3 X $ 2 9 .0 6 17.8X •2 .5 X 3 7 ,541 MARQUETTE 27.2X 13.3X 7 0 ,783 1 ,7 6 9 ,5 7 5 0 .7 X $ 2 3 .8 8 25 .OX 1 1 .5X 2 8 2 ,6 1 6 7 ,0 7 0 ,4 0 0 7 1 ,1 8 8 1 ,7 7 9 ,7 0 0 0 .9 X $ 2 4 .0 2 2 1 .9X 1 4 .3X 7 7 ,9 4 0 MASON 29. rx 9.7X 2 9 ,2 7 8 731,950 0.3 X $ 2 7 .7 6 25.2X 1.8X 116 ,2 4 3 2 ,9 0 6 ,0 7 5 2 6 ,2 0 8 6 5 5 ,2 0 0 0 .3 X $ 2 4 .8 5 21.6X 7.2X 29,301 MECOSTA 2 4 .7X -1 2 .5 X 3 8 ,2 8 3 9 5 7 ,0 7 5 0 .4 X $ 2 5 .8 9 2 6 . IX -1 1 .3 X 1 4 6 ,9 5 2 3 ,6 7 3 ,8 0 0 3 2 ,1 8 6 8 0 4 ,6 5 0 0 .4 X $ 2 1 .7 7 2 3 .OX -1 1 .5 X 3 3 ,2 1 2 MENOMINEE 2S.3X 6.5X 3 7 ,2 4 5 9 3 1 ,125 0 .4 X $ 3 5 .5 4 26.3X 5.5X 141,864 3 ,5 4 6 ,6 0 0 3 3 ,6 3 7 M 5 .9 2 S 0 .4 X $ 3 2 .2 9 2 5 .OX 0.6X 3 8 ,2 6 7 MIDLAND 2 4 .3X -0 .6 X 4 0 ,3 1 6 1 ,0 0 7 ,9 0 0 0 .4 X $ 1 3 .7 0 25.SX 4.9X 1 5 8 ,0 7 8 3 ,9 5 1 ,9 5 0 3 7 ,3 6 3 9 3 4 ,0 7 5 0 .5 X $ 1 2 .7 0 23.5X -4 .3 X 3 9 ,8 1 8 COUNTY PERCENT CHANGE TAVERNS TEAR 8 5 (3 ) SALES CHANGE TOTAL TOTAL TAVERNS SALES OF TOTAL CAPITA OF TOTAL 8 4 (4 )T 0 SALES SALES $ CLUBS REVENUES SALES SALES REVENUES SALES SALES TAX TAX TAX TAX OF TOTAL 84(3>TO t CLUBS REVENUES PERCENT PER SALES PERCENT YEAR 8 5 (4 ) TAX 1985 1985 198 5 (4 ) PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 85(1)TO t CLUBS SALES YEAR 8 6 (1 ) SALES TAX 1 9 8 6 (1 ) 1 9 8 6 (2 ) MISSAUKEE 2B.8X -19.6X 9 ,3 9 6 2 3 4 ,9 0 0 0 .1 X S 2 3 .4 7 2 5 .4X -0 .9 X 3 7 .0 4 2 9 2 6 ,0 5 0 6 ,2 8 3 157,075 0.1 X $ 1 5 .6 9 15.6X -1 0 .2 X 10,5 2 3 MONROE 26.8X 0.2X 9 7 ,0 4 9 2 ,4 2 6 ,2 2 5 1.0X $ 1 8 .0 2 26.5X 10.5X 3 6 6 ,4 3 7 9 ,1 6 0 ,9 2 5 8 8 ,4 7 9 2 ,2 1 1 ,9 7 5 1.1X $ 1 6 .4 3 2 2 . IX 8.6X 111 ,8 9 8 MONTCALM 2 6 .SX 1 1 .8X 4 2 ,5 4 6 1 ,0 6 3 ,6 5 0 0 .4 X $ 2 2 .3 7 2 7 . IX 21.8X 156,9 2 2 3 ,9 2 3 ,0 5 0 4 0 ,8 0 7 1 ,0 2 0 ,1 7 5 0 .5 X $ 2 1 .4 5 2 3 . IX 1B.8X 4 5 ,1 1 0 HONTM. 34.9X 19.6X 1 2 ,8 7 7 3 2 1,925 0 .1 X $ 4 2 .9 7 26.8X 5.9X 4 7 ,9 7 4 1 ,1 9 9 ,3 5 0 8 ,2 0 0 2 0 5 ,0 0 0 0 .1 X $ 2 7 .3 6 1S.5X 7.6X 1 1 ,5 9 6 MUSKEGON 2 5 .OX 2 1 . IX 136,433 3 ,4 1 0 ,6 2 5 1.4X $ 2 1 .6 4 25.SX 6.6 X 5 3 5 ,3 3 2 1 3 ,3 8 3 ,3 0 0 1 2 6 ,7 2 6 3 ,1 6 8 ,1 5 0 1.6X $ 2 0 .1 0 23.7X -3 .9 X 133,109 NEWAYGO 28.4X 5.2X 2 4 ,8 9 3 6 2 2 ,3 2 5 0 .3 X $ 1 7 .8 2 24.SX -3 .4 X 101 ,7 6 0 2 ,5 4 4 ,0 0 0 18 ,2 4 5 4 5 6 ,1 2 5 0.2 X S 1 3 .0 6 19.3X -9 .2 X 2 5 ,1 5 7 OAKLAND 24.2X - 1 2 . IX 9 3 3,841 2 3 ,3 4 6 ,0 2 5 9 .8 X $ 2 3 .0 7 26.3X -4 .3 X 3 ,5 4 6 ,8 9 4 8 8 ,6 7 2 ,3 5 0 8 9 9 ,5 3 8 2 2 ,4 8 8 ,4 5 0 11.SX $ 2 2 .2 3 23.3X 4 . IX 9 65.82S OCEANA 33.2% 6.8X 2 2 ,1 8 2 5 5 4 ,5 5 0 0 .2 X $ 2 5 .2 0 2 4 . IX 11.4% 9 2 ,0 3 0 2 ,3 0 0 ,7 5 0 1 7 ,6 3 7 4 4 0 ,9 2 5 0 .2 X $ 2 0 .0 4 1 8 .OX 14.3X 2 5 ,4 9 0 OGEHAU 2 5 .4X -17.7X 12,871 3 2 1 ,7 7 5 0 .1 X $ 1 9 .5 8 29.9X 34.5X 4 3 ,0 1 8 1 ,0 7 5 ,4 5 0 1 0 ,7 5 6 2 6 8 ,9 0 0 0 .1 X $ 1 6 .3 6 16.6X 23.0X 1 1 ,8 9 9 ONTONAGON 3 0 .OX 1 1 .6X 18,372 4 5 9 ,3 0 0 0.2 X $ 4 6 .5 8 27.5X 5.7X 6 6 ,7 5 1 1 ,6 6 8 ,7 7 5 1 5 ,8 4 5 3 9 6 ,1 2 5 0 .2 X $ 4 0 .1 7 22.2% 14.2X 16,151 OSCEOLA 2 4 .OX -1 .5 X 16,000 4 0 0 ,0 0 0 0 .2 X $ 2 1 .1 3 2 7 . IX 10.7X 5 9 ,1 4 3 1 ,4 7 8 ,5 7 5 12,9 5 5 3 2 3 ,8 7 5 0 .2 X $ 1 7 .1 1 18.3X -O.SX 1 7 ,7 1 3 OSCOOA 26.9X 3 8 . IX 8 ,7 7 3 2 1 9,325 0.1 X $ 3 1 .9 8 33.3X 54.2X 2 6 ,3 5 7 6 5 8 ,9 2 5 6 ,4 9 3 162,325 0 .1 X $ 2 3 .6 7 20.6X 28.5X 7 ,1 3 6 OTSEGO 3 0 .OX 22.3X 1 5 ,1 2 6 3 7 8 ,1 5 0 0.2X $ 2 5 .2 2 25.5X 17.3X 5 9 ,2 7 3 1 ,4 8 1 ,8 2 5 13 ,8 0 2 3 4 5 ,0 5 0 0 .2 X $ 2 3 .0 1 20.4X 9.0% 15,9 7 4 OTTAWA 28.1X -1 .1 X 7 3 ,8 2 9 1 ,8 4 5 ,7 2 5 O.BX $ 1 1 .7 4 2 2 .7X -2 .5 X 3 2 5 ,6 4 3 8 ,1 4 1 ,0 7 5 7 1 ,9 9 8 1 ,7 9 9 ,9 5 0 0.9 X $ 1 1 .4 5 21.8% -2.2% 8 3 ,6 6 6 PRES. IS . 27.2X 3.3X 19,321 4 8 3 ,0 2 5 0.2X $ 3 3 .8 6 2S.2X -4 .7 X 7 6 ,6 0 0 1 ,9 1 5 ,0 0 0 1 7 ,1 7 9 4 2 9 ,4 7 5 0.2 X $ 3 0 .1 0 21 .SX -6.6X 18,6 2 4 ROSCOMMON 3 3 . IX 7.2X 3 1 ,5 4 6 7 8 8 ,6 5 0 0.3 X $ 4 8 .1 6 2 3 .7X 8.9X 1 3 2 ,8 2 6 3 ,3 2 0 ,7 0 0 2 9 ,2 8 8 732 ,2 0 0 0 .4 X $ 4 4 .7 2 22.7X 10.3% 3 3 ,3 5 9 SAGINAW 24.6X 2 . IX 2 0 9,503 5 ,2 3 7 ,5 7 5 2.2 X $ 2 2 .9 7 25.8X 4 . OX 8 1 1 ,3 4 3 2 0 ,2 8 3 ,5 7 5 2 0 9 ,7 6 6 5 ,2 4 4 ,1 5 0 2.7X $ 2 2 .9 9 24.2% 9 . IX 217,941 ST. CLAIR 29.4X 10.7X 114,722 2 ,8 6 8 ,0 5 0 1.2X $ 2 0 .6 6 24.7X 10.2X 4 6 4 ,3 3 3 1 1 ,6 0 8 ,3 2 5 109 ,8 8 2 2 ,7 4 7 ,0 5 0 1.4X $ 1 9 .7 9 2 1 .2X 16.9X 138,115 ST.JOSEPH 28.5X 6.3X 8 4 ,7 5 6 2 ,1 1 8 ,9 0 0 0.9 X $ 3 7 .7 8 23.8% 2.9X 3 55,4 0 1 8 ,8 8 5 ,0 2 5 7 4 ,7 1 9 1 ,8 6 7 ,9 7 5 1.0X $33 .3 1 18.5X 0.6X 101 ,3 4 6 SANILAC 27.2X - 3 . IX 3 3 ,0 7 6 8 2 6 ,9 0 0 0 .3 X $ 2 0 .2 7 2 3 .7X 3 . IX 139,756 3 ,4 9 3 ,9 0 0 2 5 ,4 2 9 6 3 5 ,7 2 5 0 .3X $ 1 5 .5 9 19.2X -2 1 .7X 3 3 ,9 1 5 SCHCRFT. 27.8X O.OX 1 1 .3 0 9 2 8 2 ,7 2 5 0.1 X $ 3 2 .9 7 2 6 .OX 17.4X 4 3 ,4 4 2 1 ,0 8 6 ,0 5 0 10,1 3 4 2 5 3 ,3 5 0 0 .1 X $ 2 9 .5 5 22.8X 1.7X 1 0 ,3 5 7 SKIAUASSE 24.3X G.2X 4 6 ,7 9 2 1 ,1 6 9 ,8 0 0 0.5 X $ 1 6 .4 4 2 4 .1 7 - 2 . IX 193 ,8 6 3 4 ,8 4 6 ,5 7 5 4 1 ,7 3 8 1 ,0 4 3 ,4 S 0 0 .5 X $ 1 4 .6 7 24.8% -16.3X 4 3 ,4 7 9 4 6 ,9 8 3 TUSCOLA 2S.3X 5.6X 4 8 ,6 7 4 1 ,2 1 6 ,8 5 0 0.5 X $ 2 1 .3 6 25.6% 4.6X 190 ,1 9 8 4 ,7 5 4 ,9 5 0 4 4 ,6 8 7 1 ,1 1 7 ,1 7 5 0 .6 X $ 1 9 .6 1 24 .OX -2 .1 X VAN BUREN 3 0 .OX -3 .4 X 56,901 1 ,4 2 2 ,5 2 5 0.6 X $ 2 1 .2 9 2 4 .6X 12.4X 2 3 1 ,2 3 9 5 ,7 8 0 ,9 7 5 5 0 ,1 5 6 1 ,2 5 3 ,9 0 0 0 .6 X $ 1 8 .7 7 20.4X 7.6X 5 9 ,0 0 6 WASHTENAW 26.6X 13.3X 1 6 6 ,288 4 ,1 5 7 ,2 0 0 1.7X $ 1 5 .7 0 25.2% 10.3X 6 6 0 ,0 6 2 1 6 ,5 0 1 ,5 5 0 1 5 4 ,7 8 9 3 ,8 6 9 ,7 2 5 2 . OX $ 1 4 .6 2 2 3 . IX -1.2% 169,633 9.8X 7 ,1 4 7 ,4 4 0 1 7 8 ,6 8 6 ,0 0 0 WAYNE 24.6X 7.7X 1 ,8 8 2 .0 9 9 WEXFORD 2 8 .OX 1.5X OUT/STATE 0 .6 X 4 7 ,0 5 2 ,4 7 5 19.7X $ 2 0 .1 3 26.3X 2 8 ,7 1 2 7 1 7 ,8 0 0 0 .3 X $ 2 8 .6 0 22.5% 4 7 .OX 1 ,2 0 9 ,0 4 0 3 0 ,2 2 6 ,0 0 0 12.7X 1 ,8 1 2 .7 8 4 4 5 ,3 1 9 ,6 0 0 2 3 . IX $ 1 9 .3 8 2 4 .OX 127 ,3 7 8 3 ,1 8 4 ,4 5 0 2 6 ,4 9 8 6 6 2 ,4 5 0 0.3 X $ 2 6 .3 9 21.5% -1 0 .5 X 2 8 ,0 9 3 35.7% 9938.5% 3 ,3 8 8 ,1 8 4 8 4 ,7 0 4 ,6 0 0 4 3 ,3 8 4 1 ,0 8 4 ,6 0 0 4 . IX 196.2X 172,343 -5 .8 X 0.6X 7.0X 1 ,9 1 3 ,6 3 6 COUNTY PERCENT CHANCE TAVERNS O f TOTAL 84(3)TO I CLUBS YEAR 8 5 (3 ) SALES REVENUES CHANGE TOTAL TOTAL TAVERNS SALES Of TOTAL CAPITA Of TOTAL B4(4)TO SALES PERCENT SALES 4 CLUBS REVENUES SALES SALES TAX TAX PER SALES PERCENT YEAR 8 5 (A ) TAX 1985 REVENUES 1985 1 9 8 5 (4 ) TOTAL COUNTY 23.7X t PER PERCENT SALES SALES TAX TAX SALES YEAR 2 ,5 1 2 ,4 5 5 100.0X 26.6X S 2 2 .5 1 2 2 .0 X 3 5 ,9 3 1 ,7 3 9 8 9 8 ,2 9 3 ,4 7 5 3 9 2 ,0 9 1 9 ,8 0 2 ,2 7 6 8 8 (1 ) SALES 1 9 8 6 (2 ) 7 ,8 3 6 ,4 7 0 1 9 5 ,9 1 1 ,7 5 0 9 4 ,4 1 5 CHANCE TAVERNS TAX 1 9 8 6 (1 ) 3 .5 X 9 ,5 5 0 ,3 9 0 2 3 8 ,7 5 9 ,7 5 0 1 0 0 ,4 9 8 PERCENT O f TOTAL CAPITA O f TOTAL 8S(1)TO I CLUBS 2 ,3 6 0 ,3 8 3 100.0X 22.0X S 2 1 .1 5 4 .1 X 8 ,7 4 3 ,0 0 5 103,261 ro '- j ro COUNTY SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8S(2)TO 8 CLUBS SALES SALES YEAR 8 6 (2 ) TAX SALES REVENUES PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 85(3)TO 8 CLUBS SALES SALES TAX TAX SALES YEAR 8 6 (3 ) 1 9 8 6 (3 ) SALES REVENUES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 8 5 (4 )T0 SALES SALES TAX TAX SALES YEAR 8 6 (4 ) 19 8 6 (4 ) ALCONA 4 8 9 ,3 7 5 0.2X $ 5 0 .2 4 2 3 .9X 7.6X 2 9 ,7 6 5 744 ,1 2 5 0.3 X $ 7 6 .4 0 36.4X 16.7X 2 0 ,1 7 5 5 0 4 ,3 7 5 0.2 X $ 5 1 .7 8 24.7X 14.2% ALGER 4 4 7 ,7 7 5 0 .2 X S 48.S 4 24.2X - 21 . ax 2 4 ,3 7 2 6 0 9 ,3 0 0 O.SX $ 6 6 .0 5 32.9X -2 4 .3 X 1 6 ,8 8 4 4 2 2 ,1 0 0 0 .2 X $ 4 5 .7 6 22.8% -1 9 .7 X ALLEGAN 2 ,2 9 5 ,9 0 0 1.1X S 2 8 .1 5 27.4X 2.2 X 1 1 3 ,2 6 8 2 ,8 3 1 ,7 0 0 1.2X $ 3 4 .7 2 33.7% S.9X 7 1 ,3 0 3 1 ,7 8 2 ,5 7 5 0 .7 X $ 2 1 .8 6 21.2% 8.5 X ALPENA 73 9 ,025 0.3X $ 2 2 .8 7 25.5X -1 1 .3 X 2 7 ,9 6 0 6 9 9 ,0 0 0 0.3 X $ 2 1 .6 3 2 4 . IX -1 3 .5 X 3 1 ,7 3 4 7 9 3 ,3 5 0 O.SX $ 2 4 .5 5 27.3X -3 .8 X ANTRIM 4 9 9 ,4 2 5 0.2X S 3 0 .8 4 2 4 .9X -2 .1 X 3 0 ,1 7 0 7 5 4 ,2 5 0 0.3 X $ 4 6 .5 8 37.7X 4.6X 1 6 ,555 4 1 3 ,8 7 5 0.2 X $ 2 5 .5 6 20.7X 3.2 X ARENAC 5 5 8 ,4 5 0 0.3X $ 3 7 .9 7 26 . ax -5.9% 2 4 ,7 7 1 6 1 9 ,2 7 5 O.SX $ 4 2 .1 1 29.7X -1 3 .7 X 1 8 ,8 1 7 4 7 0 ,4 2 5 0.2 X $ 3 1 .9 9 22.6X - 1 6 . OX BARAGA 168,475 0.1X $ 1 9 .8 6 26.3X 0.4X 6 ,6 3 6 165,900 0.1 X $ 1 9 .5 5 2 5 .9X -9 .1 X 7 ,4 2 5 185,625 0.1 X $ 2 1 .8 8 2 9 .OX 17.2X BARRY 5 0 3 ,4 0 0 0.2X $ 1 1 .0 0 24.6% -6 .9 X 2 1 ,4 4 2 5 3 6 ,0 5 0 0.2 X $ 1 1 .7 1 26.2X -2 .5 X 20,7 9 1 5 1 9 ,7 7 5 0.2 X $ 1 1 .3 5 25.4X •0 .8 X 2 ,6 5 5 ,6 2 5 1.2X $ 2 2.15 26.2X 2.4X 104 ,5 4 2 2 ,6 1 3 ,5 5 0 1.1X $ 2 1 .8 0 25. ax -0 .4 X 9 6 ,9 5 0 2 ,4 2 3 ,7 5 0 1.0X $ 2 0 .2 2 23.9X -4 .4 X 189,875 0.1X $ 1 6 .9 5 26.3X -2 0 .3 X 1 1 ,8 7 4 2 9 6 ,8 5 0 O . U $ 2 6 .4 9 4 1 . IX -15.2% 6 ,3 5 4 1 5 8 ,8 5 0 O . U $ 1 4 .1 8 2 2 .OX -0 .7 X 4 ,4 7 8 ,8 5 0 2 . OX $ 2 6 .1 5 25.7X -9 .6 X 1 9 8 ,5 7 0 4 ,9 6 4 ,2 5 0 2.1 X $ 2 8 .9 8 2 8 .5X -3 .9 X 165 ,7 7 4 4 ,1 4 4 ,3 5 0 1.7X $ 2 4 .2 0 23.8% -2 .1 X 7 1 3,925 0.3X $ 1 7 .7 6 2 7 . IX 22.6% 2 5 ,8 9 1 6 4 7 ,2 7 5 O.SX $ 1 6 .1 1 24.6% 17.9X 2 6 ,2 4 0 6 5 6 ,0 0 0 0 .3 X $ 1 6 .3 2 24.9X 16.9X CALHOUN 2 ,6 0 7 ,5 5 0 1.2X $ 1 8 .4 2 2 5 .3X -2.BX 1 0 5 ,8 2 7 2 ,6 4 5 ,6 7 5 1.1X $ 1 8 .6 9 25.7X 2 . IX 104 ,0 0 0 2 ,6 0 0 ,0 0 0 1.1X $ 1 8 .3 7 25.3X -2 .0 X CASS 8.3X BAY BENZIE BERRIEN BRANCH 1 ,3 7 1 ,5 7 5 0.6X $ 2 7.71 2 7 . IX 10.2X 6 0 ,2 1 1 1 ,5 0 5 ,2 7 5 0.6 X $ 3 0 .4 1 2 9 .7X 10.9X 4 6 ,0 7 3 1 ,1 5 1 ,8 2 5 O.SX $ 2 3 .2 7 22.8% CHARLVX. 6 3 4 ,9 7 5 0 .3 X $ 3 1 .9 0 26.2% 1 4 .2X 3 6 ,6 9 3 9 1 7 ,3 2 5 0 .4 X $ 4 6 .0 8 37.9X 0.1X 1 9 ,2 0 8 4 8 0 ,2 0 0 0.2 X $ 2 4 .1 2 19.8X 5.3X CHEBOYGAN 5 6 3 ,1 7 5 0.3X $ 2 7 .2 7 25.9X -12 .2 X 2 7 ,0 9 0 6 7 7 ,2 5 0 O.SX $ 3 2 .8 0 3 1 . IX -1 4 .1 * 1 9 ,274 4 8 1 ,6 5 0 0.2 X $ 2 3 .3 4 2 2 . IX -1 1 .7 X 2.5X 1 ,0 5 4 ,6 7 5 0.5X $ 3 6 .3 3 2 4 .9X 1.4X 5 0 ,8 5 7 1 ,2 7 1 ,4 2 5 0.5 X $ 4 3 .8 0 3 0 .OX - 8 . IX 4 2 ,4 0 4 1 ,0 6 0 ,1 0 0 0.4 X $ 3 6 .5 2 2 5 .OX CLARE CHIPPEWA 61 7 ,7 7 5 0.3X $ 2 5 .9 3 2 4 .5X 4.2X 2 7 ,9 1 8 6 9 7 ,9 5 0 0.3 X $ 2 9 .3 0 2 7 .7X S.2X 2 6 ,6 4 3 6 6 6 ,0 7 5 O.SX $ 2 7 .9 6 26.4X 1.7X CLINTON 8 6 6 ,7 5 0 0.4X $15 .5 1 24.6X 1 .IX 3 6 ,1 0 2 9 0 2 ,5 5 0 0.4 X $ 1 6 .1 5 25.6X 12.6X 3 5 ,2 7 0 8 8 1 ,7 5 0 0 .4 X $ 1 5 .7 8 2 5 .OX • O .U CRAWFORD DELTA DICKINSON EATON 4 4 1 ,7 0 0 0 .2 X $ 4 6 .6 7 2 3 .4X 4 .4 X 2 5 ,6 0 8 6 4 0 ,2 0 0 O.SX $ 6 7 .6 4 33.9X 1 4 .8X 18,7 6 2 4 6 9 ,0 5 0 0.2 X $ 4 9 .5 6 24.9X 17.0X 1 ,5 1 3 ,8 2 5 0.7X $ 3 8 .8 7 2 5 .2X 13.2X 6 2 ,9 8 9 1 ,5 7 4 ,7 2 5 0.7 X $ 4 0 .4 3 2 6 .2X -2 .9 X 60,7 5 1 1 ,5 1 8 ,7 7 5 0.6 X $ 3 9 .0 0 25.3% -6 .6 X 7 6 1 ,0 0 0 0.3X $ 3 0 .0 3 2 4 .3X -1 .7 X 3 2 ,2 6 4 8 0 6 ,6 0 0 O.SX $ 3 1 .8 3 25.8X 1.2% 3 2 ,2 2 5 8 0 5 ,6 2 5 0.3 X $ 3 1 .7 9 25.8X 7.5X 1 ,0 2 3 ,8 0 0 O.SX $ 1 1 .5 9 2 5 . IX -18 .2 X 3 8 ,9 8 7 9 7 4 ,6 7 5 0 .4 X $ 1 1 .0 3 23.9X -9 .1 X 3 9 ,3 4 3 9 8 3 ,5 7 5 0.4 X $ 1 1 .1 3 2 4 . IX - 1 3 . OX 10.7X EMMET 1 ,8 7 7 ,4 0 0 0.9X $ 8 1 .6 5 2 0 .4X 1 1 .5X 153,405 3 ,8 3 5 ,1 2 5 1.6X $166.60 4 1 . 7X 1 6 .5X 75,021 1 ,8 7 5 ,5 2 5 O.SX $ 8 1 .5 7 20.4X GENESSE 9 ,2 4 3 ,7 0 0 4 .2 X $ 2 0 .5 2 24.7X 1.9X 3 6 0 ,2 9 8 9 ,0 0 7 ,4 5 0 3 . 8X $ 2 0 .0 0 2 4 . IX O.SX 3 9 9 ,4 3 8 9 ,9 8 5 ,9 5 0 4 .2 X $ 2 2 .1 7 26.7X 3.8X GLADWIN 4 6 2 ,6 5 0 0.2X $ 2 3 .1 8 25.7X 19.7X 2 3 ,4 0 3 5 8 5 ,0 7 5 0.2 X $ 2 9 .3 2 32.6X 10.0X 1 6 ,4 0 9 4 1 0 ,2 2 5 0 .2 X $ 2 0 .5 6 22.8X -6 .5 X 5 5 1 ,2 5 0 O.SX $ 2 8 .0 0 23.9X 5.8X 2 4 ,7 3 3 6 1 8 ,3 2 5 0.3 X $ 3 1 .4 1 26.8X -3 .0 X 2 2 ,2 2 3 5 5 5 ,5 7 5 0.2 X $ 2 8 .2 2 2 4 . IX 7.8X 2 ,0 8 5 ,0 0 0 1.0X $ 3 7 .9 8 8 . OX 3 . OX 1 1 7 ,3 7 9 2 ,9 3 4 ,4 7 5 1.2X $ 5 3 .4 5 1 1 .3X -4 .3 X 7 6 6 ,6 6 6 1 9 ,1 6 6 ,6 5 0 8 .1X S349.13 73.6X 8 1 1 .U GOGEBIC GR. TRAV. COUNTY SALES REVENUES GRATOIT HILLSDALE HOUGHTON HURON INGHAN IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEENAU LAKE LAPEER LEELANAU LENAWEE LIV. LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE MIDLAND PERCENT PER PERCENT CHANGE TAVERNS SALES PERCENT PER PERCENT CHANGE TAVERNS SALES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 85(2)T0 6 CLUBS REVENUES OF TOTAL CAPITA OF TOTAL BS(3)T0 I CLUBS REVENUES OF TOTAL CAPITA OF TOTAL 85(4)T0 SALES SALES YEAR 86(2) SALES SALES SALES YEAR 86(3) SALES SALES SALES YEAR 86(4) TAX TAX TAX TAX TAX 1986(3) 1986(4) 0.3X *14,90 602,575 24.OX 1.7X 25,708 642,700 0.3X *15.89 25.6X 10.9X 26,785 669,625 0.3X *16.56 26.7X 18.OX 614,800 0.3X $14.61 24.3X -2.8X 27,691 692,275 0.3X (16.45 27.4X 26,315 2.9X 657,875 0.3X *15.64 26.OX 3.IX 974,950 0.4X *25.74 23.7X -12.ex 44,835 1,120,875 0.5X *29.60 27.3X -9.6X 42,414 1,060,350 0.4X *28.00 2S.8X 2.9X 866,300 0.4X *23.76 25.5X 19.IX 40,113 1,002,825 0.4X *27.51 32,363 809,075 29.6X O.OX 0.3X *22.19 23.9X -2.IX 9,607,225 4.4X *34.87 25.2X 408,582 10,214,550 4.7X 365,529 9,138,225 3.8X *33.17 23.9X 2.9X 4.3X *37.07 26.ex 4.3X 710,600 0.3X *13.71 2S.7X -4.IX 28,869 721,725 0.3X *13.93 26.2X -2.5X 27,673 691,825 0.3X *13.35 25.IX -6.3X 939,625 0.4X *33.14 24.7X 20.2X 0.5X *40.23 25.OX 45,624 1,140,600 29.9X 9.6X 38,038 950,950 0.4X *33.54 6.3X 342,725 0.2X *25.14 405,950 0.2X *29.77 21.9X -6.6X 16,238 25.9X -4.SX 17,811 445,275 0.2X *32.66 2B.5X 10.7X 1,262,550 25.ex 0.6X *23.33 25.8X 1.5X 49,044 1,226,100 0.5X *22.66 25.IX -5.0X 50,406 1,260,150 0.5X (23.29 0.5X 3,218,700 1.5X *21.25 25.8X 1.4X *22.00 122,744 3,068,600 4.IX 133,324 3,333,100 26.BX 3.7X 1.3X (20.26 24.6X -1.4X 4,471,125 2.OX *21.05 25.OX 4.4X 179,050 4,476,250 1.9X *21.08 25.OX 6.7X 190,104 4,752,600 2.OX *22.38 26.6X 4.IX 175,350 0.1X *16.01 25.6X -14.3X 9,424 235,600 0.1X *21.51 34.4X -0.9X 5,626 140.6SO 0.1X *12.84 20.6X -16.6X 9,996,700 4.6X *22.49 24.7X 4.2X *22.65 24.8X 6.6X 402,771 10,069,275 7.7X 429,827 10,745,675 4.5X *24.17 26.5X 4.9X O.OX *29.00 56,925 26.8X -0.6X 2,317 57,925 O.OX *29.51 27.3X -19.OX 1,624 40,600 O.OX *20.68 19.IX -25.2X 567,175 0.3X *73.55 702,550 0.3X *91.11 24.3X 4S.8X 28,102 30.IX 58.4X 613,050 0.3X *79.50 24.522 26.3X 4.9X 1,086,375 0.5X *15.51 26.IX 41,642 1,041,050 0.4X *14.86 25.OX 42,529 1,063,225 O.OX 1.IX 0.4X (15.18 2S.5X 2.5X 490,100 0.2X *34.99 23.2X 29.OX 32,123 803,075 0.3X *57.33 38.IX 32.6X 19,918 497,950 23.6X 45.OX 0.2X (35.55 1,938,475 0.9X *21.55 0.8X *22.2B 2S.7X 2.7X 80,152 2,003,800 26.5X 3.8X 71,505 1,787,625 0.8X *19.87 23.7X -7.6X 1,301,525 0.6X *12.98 24.OX 5.9X 60,827 1,520,675 0.6X *15.16 28.OX 17.4X 57,814 1,445,350 0.6X *14.41 26.7X 17.0X 100,850 O.OX *15.14 20.5X 17.9X 5,742 143,550 0.1X *21.56 29.2X 15.6X 5,383 134,575 0.1X *20.21 27.3X -2.IX 760,400 0.3X *74.71 24.IX 6.2X 66,685 1,667,125 0.7XX163.80 52.8X 9.4X 19,398 484,950 0.2X (47.65 1S.4X 14.3X 20,969,275 9.6X *30.19 26.OX S.5X 788,740 19,718,500 8.2X *28.39 24.5X 2.5X 808,512 20,212,800 8.5X *29.10 25.IX 0.1X 938,525 0.4X *40.77 0.5X (52.92 36,943 923,575 25.OX 3.7X 48,727 1,218,175 32.5X 8.4X 0.4X (40.12 24.6X 7.3X 1,948,500 0.9X *26.30 0.9X *30.73 84,749 2,118,725 24.OX 7.IX 91,095 2,277,375 28.OX 18.3X 0.9X *28.59 26.1X 19.7X 732,525 0.3X *27.78 24.4X 899,225 0.4X (34.11 29.9X 4.IX 28,800 720,000 4.7X 35,969 0.3X *27.31 23.9X -1.6X 830,300 0.4X *22.46 23.7X -7.8X 929,675 0.4X *25.15 26.5X 940,275 0.4X *25.44 26.ex -1.8X 37,187 2.4X 37,611 956,675 28.3X 9.2X 32,974 824,350 0.3X *31.46 24.3X -8.3X 30,365 759,125 0.4X *36.51 0.3X *28.97 22.4X -18.5X 41,553 1,038,825 995,450 0.5X *13.53 25.OX -1.3X 40,386 1,009,650 0.4X *13.72 2S.4X 5.2X 0.4X *14.12 26.IX 3.IX COUNTY PERCENT PER PERCENT CHANGE TAVERNS SALES PERCENT PER PERCENT CHANGE TAVERNS SALES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL B5(2)T0 8 CLUBS REVENUES OF TOTAL CAPITA OF TOTAL 85(3)TO t CLUBS REVENUES OF TOTAL CAPITA Of TOTAL 85(4)TO SALES SALES YEAR 86(2) SALES SALES SALES YEAR 86(3) SALES SALES SALES YEAR 86(4) TAX TAX TAX TAX TAX 1986(3) 1986(4) 0.1X $26.28 263,075 26.2X 5.3X 13,792 344,800 34.3X 29.4X 0.1X $34.45 9,626 0.1X $24.04 240,650 23.9X 2.4X 2,797,450 1.3X $20.77 27.9X 24.6X 106,432 2,660,800 1.1X $19.76 26.6X 8.5X 93,833 2,345,825 1.0X $17.42 23.4X -3.3X 0.5X $23.71 1,127,750 25.5X 17.4X 46,229 1,155,725 26.IX 11.IX 44,709 1,117,725 O.SX $24.30 0.5X $23.50 5.1X 2S.3X 0.1X $38.69 289,900 21.9X 7.9X 16,758 418,950 31.7X 0.2X $55.92 0.2X 16,298 407,450 0.2X $54.38 30.8X 26.6X 1.5X $21.12 3,327,725 24.9X -0.2X 140,786 3,519,650 26.3X 1.5X $22.33 5.4X 133,799 3,344,975 1.4X $21.23 25.OX -1.9X 628,925 0.3X $18.01 26.6X -9.9X 26,753 668,825 0.3X $19.15 28.3X -7.3X 24,427 610,675 0.3X $17.49 25.8X -1.9X 11.OX $23.86 25.IX 8.6X 945,580 23,639,500 24,145,625 24.5X 10.0X 1,044,198 26,104,950 11.0X $25.80 9.9X $23.36 27.IX i i . ex 0.3X $28.96 31.6X 637,250 26.1X 6.9X 30,858 771,450 23,811 0.3X $35.06 1.0X 0.3X $27.06 7.3X 595,275 24.3X 0.1X $18.10 297,475 1B.4X 13.6X 22,580 564,500 34.9X 106.7X 19,490 0.2X $34.35 487,250 0.2X $29.65 30.IX 51.4X 0.2X $40.95 403,775 22.6X 11.8X 21,123 528,075 29.6X 18,237 0.2X $53.55 5.3X 455,925 0.2X $46.24 25.6X -0.7X 0.2X $23.40 442,825 490,800 25.OX 11.OX 19,632 0.2X $25.93 27.7X 38.2X 20,613 29.IX 28.8X 515,325 0.2X $27.23 178,400 0.1X $26.01 22.7X 31.OX 9,169 229,225 0.1X $33.42 29.1X 29.4X 8,672 216,800 0.1X $31.61 27.6X -1.2X 399,350 0.2X $26.64 23.7X 16.4X 19,891 497,275 29.5X 12.OX 17,832 0.2X $33.17 445,800 0.2X $29.73 26.4X 17.9X 2,091,650 1.0X $13.31 25.3X -3.5X 94,793 2,369,825 28.7X 79,914 1,997,850 24.2X 1.0X $15.08 3.6X O.SX $12.71 8.2X 465,600 0.2X $32.63 2.9X 22,334 558,350 23.3X 0.2X $39.14 28.OX 7.4X 21,661 541,525 0.2X $37.96 27.IX 12.IX 0.4X $50.93 833,975 25.9X 8.3X 37,695 942,375 0.4X $57.55 29.2X -14.2X 28,549 713,725 0.3X $43.59 22.IX -9.5X 5,448,525 2.5X $23.89 3.6X 216,828 5,420,700 25.OX 8.8X 223,975 5,599,375 25.1X 2.3X $23.77 2.4X $24.55 25.8X 6.9X 1.6X $24.88 26.6X 16.OX 149,042 3,726,050 1.6X $26.84 28.7X 121,759 3,043,975 3,452,875 9.2X 1.3X $21.93 23.5X 6.IX 2,533,650 1.2X $45.18 25.IX 6.5X 125,645 3,141,125 1.3X $56.01 31.IX 24.1X 1 0 2 ,2 1 0 2,555,250 1.1X $45.56 25.3X 20.6X 0.4X $20.79 25.7X -6.3X 30.7X 32,323 847,875 40,522 1,013,050 0.4X $24.84 6.6X 808,075 0.3X $19.81 24.5X -2.3X 0.1X $30.20 2.BX 258,925 23.3X 12,617 315,425 28.4X 4.4X 11,308 0.1X $36.78 282,700 0.1X $32.97 25.5X O.OX 1,086,975 0.5X $15.28 25.9X -13.IX 40,451 1,011,275 0.4X $14.22 24.IX -14.2X 42,413 1,060,325 0.4X $14.90 25.2X -9.4X 1,174,575 0.5X $20.62 25.2X -1.5X 25.8X 46,626 1,165,650 48,175 1,204,375 0.5X $21.14 O.OX 0.5X $20.46 25.0X -4.2X 1.3X 1,475,150 0.7X $22.08 24.OX 77,414 1,935,350 31.5X 11.4X 58,993 1,474,825 O.BX $28.97 0.6X $22.07 24.OX 3.7X 1.9X $16.02 5.OX 170,831 4,270,775 25.5X -2.7X 4,240,825 2S.3X 1.8X $16.13 175,519 4,387,975 5.6X 1.8X $16.57 26.2X 21.9X $20.46 47,840,900 2S.4X 5.4X 1,846,345 46,158,625 19.2X $19.74 24.SX 5.2X 1,968,216 49,205,400 4.6X 20.7X $21.05 26.IX 0.3X $27.98 22 . ex -15.8X 702,325 34,930 873,250 0.4X $34.79 28.4X -2.2X 33,457 836,425 0.4X $33.32 27.2X 16.5X 2.OX 143,538 3,588,450 4,308,575 16.4X -92.OX 693,634 17,340,850 7.2X 65.9X 3362.3X 1.5X 13.6X -88.IX SALES REVENUES MISSAUKEE MONROE MONTCALM MONTM. MUSKEGON NEWAYGO OAKLAND OCEANA OGEMAW ONTONAGON OSCEOLA OSCOOA OTSEGO OTTAWA PRES. IS. ROSCOMMON SAGINAW ST. CLAIR ST.JOSEPH SANILAC SCHCRFT. SHIAWASSE TUSCOLA VAN SUREN WASHTENAW WAYNE WEXFORD OUT/STATE COUNIT SALES REVENUES TOTAL 218,573,125 COUN7T AV 2,581,525 PERCENT PER PERCENT CHANGE TAVERNS SALES OF TOTAL CAPITA OF TOTAL 85(2)TO I CLUBS REVENUES SALES SALES TEAR 86(2) SALES TAX TAX 1986(3) 100.0X 24.SX -15.5X 9,594,752 239,868,800 S23.13 107,242 2,681,060 PERCENT PER PERCENT CHANGE TAVERNS OF TOTAL CAPITA OF TOTAL 8S(3)T0 8 CLUBS SALES SALES TEAR 86(3) SALES TAX TAX 1986(4) 100.0X 26.9X S24.03 SALES REVENUES 12.8X 9,518,632 237,965,800 112,953 2,82 3 ,8 a PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 8S(4)T0 SALES SALES TEAR 86(4) TAX 100.0X 26.7X -0.3X S2S.31 ro - '4 CT\ COUNTY ALCONA ALGER ALLEGAN ALPENA ANTRIM ARENAC BARAGA TOTAL SALES TAN 1986 81,815 74,078 335,735 116,110 80,132 83,442 25,600 TOTAL SALES REVENUES 1986 BAY BENZIE 405,810 28,893 BERRIEN 6 9 6 ,3 1 5 BRANCH CALHOUN 105,448 411,732 2.045.375 1,851.950 8.393.375 2,902,750 2.003.300 2,086,050 640,000 2,046,425 10,145,250 722,325 17.407.875 2,636,200 10,293,300 CASS 2 0 2 ,4 9 3 5 ,0 6 2 ,3 2 5 BARRY 8 1 ,8 5 7 CHARLVX. 96,862 2,421,550 CHEBOYGAN 87,050 2,176,250 CHIPPEUA 169,554 4.238.850 CLARE 100,743 2,518,575 CLINTON 140,874 3.521.850 CRAUFORO 75,436 1,885,900 DELTA 240,300 6,007,500 DICKINSON 125,092 3.127.300 EATON 162,997 4,074,925 EMMET 367,480 9,187,000 GENESSE 1,496,995 37.424.875 GLADWIN 71,869 1,796,725 GOGEBIC 92,207 2,305,175 GR. TRAV. 1,041,213 26,030,325 PO COUNTY GRATOIT HILLSDALE HOUGHTON HURON INGHAM IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEWEENAW LAKE LAPEER LEELANAU LENAWEE LIV. LUCE MACKINAC MACOMB MANISTEE MARQUETTE NASON MECOSTA MENOMINEE MIDLAND TOTAL TOTAL SALES SALES TAX REVENUES 1986 1986 100,308 101,036 164,221 135,657 1,527,315 110,397 152,432 62,601 195,647 498,286 715,150 27,367 1,621,483 8,495 93,286 166,767 84,371 302,15B 216,870 19,685 126,241 3,225,241 149,969 324,972 120,278 140,196 13S.443 159,120 2,507,700 2.525.900 4,105,525 3,391,425 38,182,875 2,759,925 3,810,800 1.565.025 4.891.175 12,457,150 17,878,750 684,175 40,537,075 212,375 2,332,150 4.169.175 2,109,275 7.553.950 5,421,750 492,125 3.156.025 80,631,025 3,749,225 8,124,300 3.006.950 3.504.900 3,386,075 3,978,000 ro '- J 00 COUNTY TOTAL SALES TAX 1986 TOTAL SALES REVENUES 1986 MISSAUKEE 40,224 1,005,600 MONROE 400,642 10,016,050 MONTCALM 176,855 4,421,375 MONTH. 52,852 1,321,300 MUSKEGON 534,420 13,360,500 NEUATGO 94,582 2,364,550 OAKLANO 3,855,141 96,378,525 OCEANA 97,796 2.444.900 OGEMAU 64,725 1,618,125 ONTONAGON 71,356 1.783.900 OSCEOLA 70,913 1.772,825 OSCOOA 31,470 786,750 OTSEGO 67,499 1,687,475 OTTAUA 330,371 8.259.275 PRES. IS. 79,798 1,994,950 ROSCOMMON 128,891 3.222.275 SAGINAU 868,510 21,712,750 ST. CLAIR 518,798 12,969,950 ST.JOSEPH 403,920 10,098,000 SANILAC 132,139 3,304,725 SCHCRFT. 44,416 1,110,400 SHIAUASSE 168,081 4,202,025 TUSCOLA 186,471 4,661,775 VAN SUREN 245,569 6,139,225 UASHTENAU 670,772 16,769,300 UAYNE 7,540,981 188,524,525 WEXFORD 122,978 3,074,450 OUT/STATE 1,052,899 26,322,475 ro LO COUNTY TOTAL TOTAL SALES TAX 1986 TOTAL SALES REVENUES 1986 3S.692.8S9 892.321.A7S COUNTY AV 417.872 10,446,790 PO 00 O APPENDIX K STATISTICAL ABSTRACT FOR SPORTING GOODS SALES TAX BY QUARTER FOR MICHIGAN COUNTIES 1983-86 COUNTY POPULATION SPORTING SPORTING PERCENT SPORTING PERCENT SPORTING SPORTING PERCENT COCOS GOOOS OF TOTAL CAPITA OF TOTAL GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 0 1 ta 0 2 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL SALES SALES SALES SALES SALES SALES SALES TAX PER SALES PERCENT YEAR SPORTING SALES TAX TAX 1983(1) PER SALES PERCENT CHANGE YEAR TAX TAX 1 9 8 3 (2 ) SALES PER SALES PERCENT YEAR TAX 19 8 3 (3 ) ALCONA 9 ,7 4 0 1,191 2 9 ,7 7 5 0 .1 X S 3 .0 6 6.4 X 2 ,3 5 0 5 8 ,7 5 0 0.1X * 6 .0 3 16.6X 97.3X 7 ,8 5 8 196,4 5 0 0.3 X * 2 0 .1 7 5 5 .4X ALGER 9 ,2 2 5 316 7 ,9 0 0 O.OX SO.86 16.4X 433 1 0 ,825 O.OX * 1 .1 7 22.5X 37.0X 506 1 2 ,6 5 0 O.OX * 1 .3 7 26.2X ALLEGAN 6 1 ,5 5 5 2 ,4 9 5 6 2 ,3 7 5 0 .1 X SO.76 17.8X 4 ,2 6 9 106,725 0.1 X * 1 .3 1 30.5% 7 1 . IX 4 ,4 4 1 111,025 0.1 X ( 1 .3 6 31.8% ALPENA 3 2 ,5 1 5 1 1 ,1 4 7 2 7 8,675 O.SX $ 8 .6 2 16.4X 1 9 ,692 4 9 2 ,3 0 0 0.6 X * 1 5 .2 3 2 9 .OX 76.7X 15,981 3 9 9 ,5 2 5 O.SX * 1 2 .3 6 23.5X ANTRIM 1 6 ,194 8 ,1 9 9 2 0 4,975 0.4 X $ 1 2 .6 6 2 3 .a x 7 ,9 4 7 198,675 0.3 X * 1 2 .2 7 23.1X - 3 . IX 13,2 5 5 3 3 1 ,3 7 5 0.4 X * 2 0 .4 6 38.6X ARENAC 1 4 ,7 0 6 6 ,6 9 9 167,475 0 .3 X $ 1 1 .3 9 12.6X 16,161 4 0 4 ,0 2 5 O.SX * 2 7 .4 7 30.3% 1 4 1 .2X 24,0 8 1 6 0 2 ,0 2 5 0.8 X ( 4 0 .9 4 4S.2X BARAGA 8 ,4 8 4 1 ,392 3 4 ,8 0 0 0.1 X S 4 .1 0 19.9X 1 ,1 1 3 2 7 ,8 2 5 O.OX * 3 .2 8 15.9X -2 0 .0 % 2 ,0 8 6 5 2 ,1 5 0 0.1 X * 6 .1 5 29.8% 45 ,781 1 0 ,7 7 7 2 6 9,425 0 .5 X $ 5 .8 9 18.8% 1 0 ,982 2 7 4 ,5 5 0 0.4 X * 6 .0 0 19.1% 1.9X 15 ,5 6 3 3 8 9 ,0 7 5 O.SX * 8 .5 0 2 7 . IX 119,881 4 6 ,1 2 8 1 ,1 5 3 ,2 0 0 2.3 X * 9 .6 2 1 8 . IX 8 2 ,1 0 9 2 ,0 5 2 ,7 2 5 2.7 X * 1 7 .1 2 32.2X 7 8 .OX 7 6 ,4 7 0 1 ,9 1 1 ,7 5 0 2.5X (1 5 .9 5 29.9X 0.3 X * 2 1 .2 3 58.3X 1.6X 31.6% BARRY BAY BENZIE BERRIEN 11,205 1,4 3 0 3 5 ,7 5 0 0 .1 X S 3 .1 9 B.8X 2 ,7 3 3 6 8 ,3 2 5 0.1 X ( 6 .1 0 16.7X 9 1 . IX 9 ,5 1 5 237 ,8 7 5 1 7 1 ,276 2 5 ,3 2 2 6 3 3 ,0 5 0 1.2X S 3 .7 0 16.2X 4 7 ,6 8 9 1 ,1 9 2 ,2 2 5 1.5X * 6 .9 6 30.6X 88.3X 4 9 ,2 3 4 1 ,2 3 0 ,8 5 0 ( 7 .1 9 BRANCH 4 0 ,1 8 8 6 ,3 8 2 1 5 9 ,550 0.3 X * 3 .9 7 12.9X 1 5 ,3 9 8 3 8 4 ,9 5 0 0.5 X * 9 .5 8 3 1 . IX 141.3% 16,481 4 1 2 ,0 2 5 O.SX * 1 0 .2 5 33.3X CALHOUN 1 4 1 ,5 5 7 1 5 ,9 3 6 3 9 8 ,4 0 0 O.SX S 2.81 16.2% 3 1 ,6 8 2 7 9 2 ,0 5 0 1.0X * 5 .6 0 32.2% 98.8X 2 9 ,6 6 3 741 ,5 7 5 1.0X * 5 .2 4 30.2X 32.6X CASS 4 9 ,4 9 9 1 ,2 3 6 3 0 ,9 0 0 0 .1 X SO.62 1 2 .IX 3 ,6 2 8 9 0 ,7 0 0 0.1 X * 1 .8 3 3 5 .6X 193.5X 3 ,3 2 0 8 3 ,0 0 0 0.1 X * 1 .6 8 CHARIVX. 1 9 ,9 0 7 2 ,3 1 4 5 7 ,8 5 0 0.1 X S 2.91 17.4X 3 ,4 2 7 8 5 ,6 7 5 0.1 X ( 4 .3 0 2 5 .7X 48.1% 5 ,0 1 0 125,250 0.2 X ( 6 .2 9 37.6X CHEBOYGAN 2 0 ,6 4 9 1 ,3 8 8 3 4 ,7 0 0 0 .1 X S I . 68 8.6 X 5 ,2 3 4 1 3 0 ,8 5 0 0.2 X * 6 .3 4 32.6% 277.1X 7 ,0 7 0 176,7 5 0 0.2X * 8 .5 6 4 4 .OX CHIPPEWA 2 9 ,0 2 9 8,1 1 1 20 2 ,7 7 5 0 .4 X * 6 .9 9 18.9X 11,055 2 7 6 ,3 7 5 0.4 X * 9 .5 2 2S.7X 36.3% 1 0 .7 0 6 2 6 7 ,6 5 0 0.3 X * 9 .2 2 24.9X CLARE 2 3 ,8 2 2 647 16,175 O.OX * 0 .6 8 3 2 .OX 305 7 ,6 2 5 O.OX ( 0 .3 2 1 5 .IX -52.9% 232 5 ,8 0 0 O.OX * 0 .2 4 11.5X CLINTON 5 5 ,8 9 3 1 ,0 2 8 2 5 ,7 0 0 0 .1 X * 0 .4 6 1 5 .OX 2 ,8 4 5 7 1 ,1 2 5 0.1 X * 1 .2 7 4 1 .6X 176.8X 2 ,0 5 3 5 1 ,3 2 5 0.1 X * 0 .9 2 3 0 .OX 9 ,4 6 5 1 ,0 2 8 2 5 ,7 0 0 0 .1 X $ 2 .7 2 9.9 X 2 ,2 2 7 5 5 ,6 7 5 0 .1 X * 5 .8 8 21.5% 116.6% 4 ,2 0 0 105,0 0 0 0.1 X * 1 1 .0 9 40.5X DELTA 3 8 ,9 4 7 8 ,0 7 6 2 0 1 ,9 0 0 0.4 X * 5 .1 8 17.6X 12,2 8 2 3 0 7 ,0 5 0 0 .4 X * 7 .8 8 26.8% 5 2 . IX 1 3 ,5 0 6 3 3 7 ,6 5 0 0.4 X ( 8 .6 7 29.5X DICKINSON 25,341 4 ,7 2 2 1 1 8 ,050 0.2 X * 4 .6 6 2 3 .OX 4,9 5 1 123,775 0.2X * 4 .8 8 24.2X 4.8 X 4 ,0 3 1 100,775 0.1 X * 3 .9 8 19.7% EATON 8 8 .3 3 7 14 ,184 3 5 4 ,6 0 0 0.7 X * 4 .0 1 1 1 . BX 3 5 ,7 9 3 8 9 4 ,8 2 5 1.2X ( 1 0 .1 3 29.TX 152.3X 4 4 ,5 7 8 1 ,1 1 4 ,4 5 0 1.4X * 1 2 .6 2 37.0X 0.7X * 2 2 .7 0 6.9% * 1 5 .2 4 14.8% -3 6 .8 X 4 1 ,6 6 6 1 ,0 4 1 ,6 5 0 1.3X * 4 5 .3 0 29.5X 3 1 . 7X 110.2X 2 5 0 ,6 1 5 6 ,2 6 5 ,3 7 5 8 . IX *13 .9 1 2B.9X 0.1 X 30.9X 210.2X 6 .0 2 4 150,6 0 0 0 .2 X 41.2% CRAWFORD 2 2 ,9 9 2 3 3 ,0 4 8 8 2 6 ,2 0 0 1.6X * 3 5 .9 3 23.4X 2 0 ,8 7 7 521 ,9 2 5 GENESSE 4 5 0 ,4 4 9 1 3 0,596 3 ,2 6 4 ,9 0 0 6 .4 X ( 7 .2 5 1 5 .IX 2 7 4 ,5 5 6 6 ,8 6 3 ,9 0 0 GLADWIN 1 9 ,9 5 7 1 .4 5 6 3 6 ,4 0 0 0.1 X * 1 .8 2 1 0 .OX 4 .5 1 6 112 ,9 0 0 EMMET G O G E B I C 1 9 ,6 8 6 0 7 ,5 0 0 1 2 ,3 0 0 3 GR. TRAV. 5 4 ,8 9 9 3 5 ,3 3 2 8 8 3 ,3 0 0 4 .5 X 5 ,1 4 6 1 2 8 ,6 5 0 0 .6 X * 1 5 .6 2 4 1.7X * 1 6 .0 9 1 5 . LX 6 0 ,9 7 5 1 ,5 2 4 ,3 7 5 * 5 .6 6 0 .2 X* 6 .5 4 1 B .6 X-5 8 .2 % 1 ,6 9 5 2 . OX * 2 7 .7 7 26.6% 72.6X 7 2 ,8 1 7 4 2 ,3 7 5 1 ,8 2 0 ,4 2 5 * 7 .5 5 0 .1 X* 2 .1 5 2.3 X * 3 3 .1 6 6.IX 31.7% COUNTY POPULATION SPORTING SPORTING PERCENT PER PERCENT GOOOS GOOOS OF TOTAL CAPITA OF TOTAL SALES SALES SALES SALES YEAR TAX TAX 1983(1) GRATOIT AO.US 1,895 47,375 11.6X 0.1X SI.17 42,071 43,325 HILLSDALE 1,733 0.1X SI .03 10.5X HOUGHTON 37,872 7,477 186,925 0.4X $4.94 17.9X 36,459 9,711 242,775 HURON 0.5X S6.66 14.5X 1NGHAH 37,734 275,520 943,350 1.8X $3.42 19.2X IONIA 51,815 4,656 116,400 0.2X $2.25 24.3X 0.2X S3.30 IOSCO 28,349 3,746 93,650 13.4X 91,900 0.2X S6.74 IRON 13,635 3,676 40.9X ISABELLA 54,110 22,814 570,350 1.1X $10.54 29.IX JACKSON 151,495 17,940 448,500 0.9X S2.96 15.6X KALAMAZOO 212,378 35,087 877,175 1.7X S4.13 15.OX KALKASKA 10,952 795 19,875 O.OX SI.81 9.IX KENT 444,506 6.3X S7.31 20.4X 130,031 3,250,775 KEWEENAW 1,963 0 0 O.OX SO.00 ERR LAKE 26,500 7,711 1,060 0.1X S3.44 9.2X 1,844 46,100 LAPEER 70,038 0.1X SO.66 17.OX LEELANAU 14,007 11,450 4.9X 458 O.OX SO.82 89,948 203,625 0.4X S2.26 12.9X LENAWEE 8,145 LIV. 100,289 12,601 315,025 0.6X S3.14 16.9X LUCE 6,659 2,338 58,450 0.1X S8.78 34.6X MACKINAC 10,178 179 4,475 0.6X O.OX SO.44 694,600 138,928 3,473,200 6.8X S5.00 20.OX MACOMB 43,625 0.1X SI .90 MANISTEE 23,019 1,745 9.5X MARQUETTE 74,101 19,200 480,000 0.9X S6.48 19.OX MASON 3,906 97,650 9.IX 26,365 0.2X S3.70 13,880 347,000 0.7X S9.39 20.2X MECOSTA 36,961 MENOMINEE 26,201 322 8,050 O.OX SO.31 5.OX 73,578 20,368 509,200 1.0X S6.92 19.7X MIDLAND SPORTING GOOOS SALES TAX 1983(2) 4,487 5,425 11,185 27,239 62.01B 5,260 8,328 843 17,902 37,001 79,835 2,017 195,596 0 2,885 3,040 1,585 17,495 22,009 1,612 16,234 228,255 4,543 26,676 9,290 16,055 2,363 26,983 SPORTING GOOOS SALES 112,175 135,625 279,625 680,975 1,550,450 131,500 208,200 21,075 U7.550 925,025 1,995,875 50,425 4,889,900 0 72,125 76,000 39,625 437,375 550,225 40,300 405,850 5,706,375 113,575 666,900 232,250 401,375 59,075 674,575 PERCENT PER PERCENT CHANGE SPORTING OF TOTAL CAPITA OF TOTAL Q1to02 GOODS SALES SALES YEAR SALES TAX TAX 1983(3) 0.1X S2.77 27.5X 136.8X 6,084 0.2X S3.22 33.OX 213.OX 5,568 0.4X S7.38 26.7X 49.6X 9,841 0.9X $18.68 40.6X 1B0.5X 22,660 2.OX S5.63 31.6X 64.4X 49,022 0.2X S2.54 27.4X 13.OX 5,151 0.3X S7.34 29.7X 122.3X 11,201 O.OX SI.55 9.4X -77.IX 866 0.6X *8.27 22.8X -21.5X 17,141 1.2X S6.11 32.IX 106.2X 31,815 2.6X $9.40 34.2X 127.5X 67,526 0.1X *4.60 23.OX 153.7X 3,466 6.3X *11.00 30.7X 50.4X 170,667 O.OX *0.00 ERR ERR 0 0.1X *9.35 25.OX 172.2X 4,046 0.1X SI.09 28.IX 64.9X 4,437 0.1X *2.83 16.8X 246.1X 6,429 0.6X *4.86 27.BX 114.8X 21,509 0.7X *5.49 29.6X 74.7X 19,505 0.1X *6.OS 23.9X -31.IX 1,503 O.SX S39.88 51.7X 8969.3X 11,673 7.4X *8.22 32.8X 64.3X 182,848 0.1X *4.93 24.7X 160.3X 7,561 0.9X S9.00 26.5X 38.9X 24,805 0.3X S8.81 21.5X 137.8X 18,518 0.5X *10.86 23.3X 15.7X 18,210 0.1X S2.25 36.8X 633.9X 2,272 0.9X S9.17 26.IX 32.5X 26,583 SPORTING GOOOS SALES 152,100 139,200 246,025 566,500 1,225,550 128,775 280,025 21,650 428,525 795,375 1,688,150 86,650 4,266,675 0 101,150 110,925 160,725 537,725 487,625 37,575 291,825 4,571,200 189,025 620,125 462,950 455,250 56,800 664,575 PERCENT PER PERCENT OF TOTAL CAPITA OF TOTAL SALES SALES YEAR TAX 0.2X $3.76 0.2X S3.31 0.3X S6.50 0.7X SIS.54 1.6X S4.45 0.2X S2.49 0.4X S9.88 O.OX $1.59 0.6X S7.92 1.0X $5.25 2.2X $7.95 0.1X $7.91 5.5X $9.60 O.OX $0.00 0.1X $13.12 0.1X $1.58 0.2X $11.47 0.7X $5.98 0.6X S4.66 O.OX S5.64 0.4X $28.67 5.9X S6.58 0.2X $8.21 O.SX $8.37 0.6X $17.56 0.6X $12.32 0.1X $2.17 0.9X $9.03 37.2X 33.8X 23.5X 33.9X 25.OX 26.9X 40.OX 9.6X 21.9X 27.6X 28.9X 39.6X 26.8X ERR 35.OX 41 .OX 68.3X 34.2X 26.2X 22.3X 37.2X 26.3X 41.2X 24.6X 42.9X 26.SX 35.4X 25.8X COUNTY POPULATION SPORTING SPORTING PERCENT GOOOS GOOOS OF TOTAL CAPITA OF TOTAL GOOOS PER SALES SALES SALES SALES PERCENT YEAR SALES TAX TAX SPORTING SPORTING PERCENT SPORTING SPORTING PERCENT GOOOS OF TOTAL CAPITA OF TOTAL Q 1to02 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL SALES SALES SALES SALES SALES TAX PER SALES PERCENT CHANGE YEAR TAX TAX 1 9 8 3 (2 ) 1983(1) PER SALES PERCENT YEAR TAX 1 9 8 3 (3 ) 1 0 ,0 0 9 275 6 ,8 7 5 O.OX SO.69 8 . IX 1 ,0 0 3 2 5 ,0 7 5 O.OX $ 2 .5 1 29.4X 2 6 4 .7X 1 ,4 3 4 3 5 ,8 5 0 O.OX $ 3 .5 8 4 2 . IX 13 4 ,6 5 9 2 5 ,7 4 0 6 4 3 ,5 0 0 1.3X S 4 .7 8 20.4X 3 4 ,4 2 2 8 6 0 ,5 5 0 1.1X $ 6 .3 9 27.3X 33.7X 2 6 ,8 0 6 6 7 0 ,1 5 0 0.9X $ 4 .9 8 2 1 .3X * 7 ,5 5 5 1 3 ,2 4 6 3 3 1 ,1 5 0 0.6X S 6 .9 6 18.1X 19,2 5 5 4 8 1 ,3 7 5 0 .6 X $ 1 0 .1 2 26.3X 45.4X 1 9 ,5 3 6 4 8 8 ,4 0 0 0.6X $ 1 0 .2 7 26.7X 7 ,4 9 2 551 13,775 O.OX SI .8 4 9.3 X 1,251 3 1 ,2 7 5 O.OX $ 4 .1 7 2 1 . IX 127.0X 2 ,3 0 8 5 7 ,7 0 0 0.1 X $ 7 .7 0 39.0X MUSKEGON 1 5 7,589 2 6 ,4 4 8 6 6 1 ,2 0 0 1.3X $ 4 .2 0 14.3X 5 7 ,1 5 6 1 ,4 2 8 ,9 0 0 1.9X $ 9 .0 7 3 1 .OX 116.1X 6 1 ,7 4 3 1 ,5 4 3 ,5 7 5 2 . OX $ 9 .7 9 3 3 .SX NEUAYGO 3 4 ,9 1 7 3 ,9 1 6 9 7 ,9 0 0 0.2X $ 2 .8 0 11.9X 8 ,5 6 9 2 1 4 ,2 2 5 0.3 X $ 6 .1 4 2 6 . IX 118.8X 1 0 ,2 2 0 2 5 5 ,5 0 0 0.3X 3 1 . IX OAKLAND 1 ,0 1 1 ,7 9 3 2 3 .SX $ 1 1 .8 9 1 9 .OX 1 7 .OX $ 1 2 .9 5 20.6X 6.9 X 2 1 .IX 4 4 .5X 9 ,1 9 9 2 2 9 ,9 7 5 MISSAUKEE MONROE MONTCALM MONTH. 4 8 1 ,3 9 2 1 2 ,0 3 4 ,8 0 0 OCEANA 2 2 ,0 0 2 OGEKAU 1 6 ,4 3 6 984 2 4 ,6 0 0 O.OX 9 ,8 6 1 1,631 * 0 ,7 7 5 0.1X 1 8 ,9 2 8 450 1 1 ,250 O.OX $ 0 .5 9 ONTONAGON OSCEOLA 2 ,7 3 1 6 8 ,2 7 5 0.1X $ 3 .1 0 5 2 4 ,0 9 8 1 3 ,1 0 2 ,4 5 0 $ 4 .4 8 6 0 9 ,9 4 6 1 5 ,2 4 8 ,6 5 0 $ 1 .5 0 8 .7 X 2 ,4 5 9 6 1 ,4 7 5 0 .1 X $ 3 .7 4 21.8X 149.9X 3 ,5 2 * 8 8 ,1 0 0 0.1X $ 5 .3 6 $ 4 .1 3 2 5 . IX 1 ,3 3 7 33 .4 2 S O.OX $ 3 .3 9 20.6X ■18.OX 1 ,3 8 8 3 4 ,7 0 0 O.OX $ 3 .5 2 2 1 .4X 1 3 .6X 744 1 8 ,600 O.OX $ 0 .9 8 22.4X 6 5 .3X 1 ,0 7 9 2 6 ,9 7 5 O.OX $ 1 .4 3 32.5X O.OX $ 4 .0 0 24.6X 402 1 0 ,050 O.OX $ 1 .4 7 9 . OX 1 ,4 2 6 3 5 ,6 5 0 O.OX $ 5 .2 0 3 2 . IX 254.7X 1 ,0 9 6 2 7 ,4 0 0 3 ,5 6 6 8 9 , ISO 0.2X $ 5 .9 5 1 5 .6X 4 ,2 9 4 107,350 0.1 X $ 7 .1 6 18.8X 20.4X 6 ,9 2 4 173 ,1 0 0 OTTAUA 157,174 * 2 ,6 5 7 1 ,0 6 6 ,4 2 5 2 . IX $ 6 .7 8 1 9 . IX 7 0 ,1 9 6 1 ,7 5 4 ,9 0 0 2.3X $ 1 1 .1 7 3 1 .5X 6 4 .6X 6 0 ,4 1 0 1 ,5 1 0 ,2 5 0 PRES. IS . 1 4 ,2 6 7 502 12 ,550 O.OX $ 0 .8 8 1 2 .OX 1 ,3 3 8 3 3 ,4 5 0 O.OX $ 2 .3 4 32.1X 166.5X 1 ,1 7 9 2 9 ,4 7 5 ROSCOMMON 1 6 ,374 1,341 3 3 ,5 2 5 0.1X $ 2 .0 5 9 .6 X 4 ,0 9 6 102,400 0.1 X $ 6 .2 5 29.3X 2 0 5 .4X 7 ,0 1 2 175 ,3 0 0 SAGINAW 2 2 8 ,0 5 9 6 7 ,5 6 3 1 ,6 8 9 ,0 7 5 3.3X $ 7 .4 1 2 4 . 2X 6 2 ,7 8 2 1 ,5 6 9 ,5 5 0 2 . OX $ 6 .8 8 2 2 .SX -7 .1 X 6 8 ,0 7 1 1 ,7 0 1 ,7 7 5 ST. CLAIR 1 3 8 ,802 1 4 ,640 3 6 6 ,0 0 0 0.7X $ 2 .6 4 13.4X 2 9 ,4 9 3 737,3 2 5 1.0X $ 5.31 2 7 .OX 1 0 1 .5X 3 8 ,9 9 7 9 7 4 ,9 2 5 ST.JOSEPH 5 6 ,0 8 3 6 ,9 9 0 174,750 0.3X $ 3 .1 2 16.4X 1 1 ,7 1 3 292,8 2 5 0.4 X $ 5 .2 2 27.5X 67.6X 1 3 ,5 4 2 3 3 8 ,5 5 0 SANILAC 4 0 ,7 8 9 1,0 4 9 2 6 ,2 2 5 0.1X $ 0 .6 4 5.9X 3 ,5 2 5 8 8 ,1 2 5 0.1 X $ 2 .1 6 19.7X 2 3 6 .OX 7 ,3 2 8 183 ,2 0 0 O.OX 8 ,5 7 5 1,3 1 8 3 2 ,9 5 0 0.1X $ 3 .8 4 3 1 . 5X 1 ,0 3 3 2 5 ,8 2 5 7 1 ,1 4 0 2 2 ,8 1 2 5 7 0 ,3 0 0 1.1% $ 8 .0 2 19.4X 3 4 ,3 4 5 8 5 8 ,6 2 5 TUSCOLA 5 6 ,961 1 0 ,268 25 6 ,7 0 0 0.5X $ 4 .5 1 18.2X 2 0 ,7 7 9 VAN SUREN 6 6 ,8 1 4 6 ,1 5 7 153,925 0.3X $ 2 .3 0 1 4 .6X 16,071 8 0 ,2 7 0 WEXFORD OUT/STATE 3 1 .2X 0.1 X 6 ,8 5 8 WAYNE 49.2X 9 8 ,6 7 5 1 4 ,993 WASHTENAW 24 .OX 0.3X $ 1 0 .4 5 3 ,9 4 7 OTSEGO SCHCRFT. 19.7X $ 1 5 .0 7 1 4 .6X OSCOOA SHIAUASSE $ 7 .3 2 2 6 4 ,7 4 8 4 1 ,2 7 9 1 ,0 3 1 ,9 7 5 2 . OX $ 3 .9 0 14.8X 2 ,3 3 7 ,8 9 1 2 8 7 ,5 6 5 7 ,1 8 9 ,1 2 5 1 4 .OX $ 3 .0 8 19.7X 2 5 ,1 0 2 7 ,4 9 * 1 8 7,350 0.4X 8 0 ,7 8 9 2 ,0 1 9 ,7 2 5 3.9X $ 7 .4 6 0.2X $ 1 1 .5 5 3 0 .JX 1.9X $ 9 .6 1 2 7 . IX O.OX $ 2 .0 7 2S.3X 0.2X $10 .7 1 5 0 . IX 2.2X $ 7 .4 6 2 4 .4X 1.3X $ 7 .0 2 35.7X 0.4X $ 6 .0 4 31.8X 0.2X $ 4 .4 9 4 1 . IX O.OX $ 3.01 2 4 .7X - 2 1 .6X 1 ,2 5 0 3 1 ,2 5 0 $ 3 .6 4 29.9X 1.1X $ 1 2 .0 7 29.2X 50.6X 3 5 ,7 6 8 8 9 4 ,2 0 0 1.2X $ 1 2 .5 7 30.5X 5 1 9 ,4 7 5 0.7 X $ 9 .1 2 36.7X 102.4X 1 8 ,0 9 6 4 5 2 ,4 0 0 0.6 X $ 7 .9 4 3 2 .OX 401,7 7 5 0.5 X $ 6.01 3 8 . IX 161 .OX 1 2 ,3 8 9 309 ,7 2 5 0.4 X $ 4 .6 4 29.4X 2 ,0 0 6 ,7 5 0 2.6 X $ 7 .5 8 28.8X 9 4 .5X 7 9 ,7 2 5 1 ,9 9 3 ,1 2 5 2.6X $ 7 .5 3 28.6X 4 3 5 ,8 1 3 1 0 ,8 9 5 ,3 2 5 1 4 .IX $ 4 .6 6 29.9X 5 1 .6X 3 7 3 ,1 7 5 9 ,3 2 9 ,3 7 5 1 2 .OX $ 3 .9 9 2S.6X 0.4 X $ 1 2 .1 8 18.4X 6 3 . IX 1 0 ,3 0 2 2 5 7 ,5 5 0 0.3X $ 1 0 .2 6 1 5 .SX 3.8 X 21.4X 46.6X 1 3 2 ,6 7 9 3 ,3 1 6 ,9 7 5 4.3 X 2 4 .OX 1 1 . JX 1 2 ,2 2 6 3 0 5 ,6 5 0 1 4 .6X 1 1 8 ,4 2 9 2 ,9 6 0 ,7 2 5 COUNTY POPULATION SPORTING SPORTING PERCENT PER SPORTING PERCENT SPORTING SPORTING PERCENT GOOOS GOODS OF TOTAL CAPITA OF TOTAL GOOOS GOOOS OF TOTAL CAPITA OF TOTAL Q1toG2 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL SALES SALES SALES SALES SALES SALES SALES SALES TAX SALES TAX 111,591 2 3 ,7 1 2 SALES PER SALES PERCENT YEAR TAX 100.0X 5 9 2 ,8 0 6 •OUT/STATE F ig u r e s Not I n c lu d e d I n A v ereg es •ERR I n d i c a t e s D i v is io n by Z ero 3 5 ,7 8 5 PER SALES PERCENT YEAR TAX 1 9 8 3 (3 ) 1 8 .OX 3 ,0 8 8 ,6 0 6 7 7 ,2 1 5 ,1 5 0 S 5 .3 1 CHANGE TAX 19 8 3 (2 ) 9 ,2 8 2 ,0 7 8 2 .0 4 8 ,9 0 5 5 1 ,2 2 2 ,6 2 5 COUNTY AV YEAR SPORTING TAX 1 9 8 3 (1 ) TOTAL PERCENT 8 9 4 ,6 3 2 1 0 0 .OX 2 7 . IX S 8 .0 2 5 0 .7 X 3 ,0 9 8 ,6 9 0 7 7 ,4 6 7 ,2 5 0 3 5 ,7 3 5 8 9 3 ,3 7 7 1 0 0 .OX 27.2X S 8 .0 1 ro oo 4=» COUNTY CHANGE SPORTING SPORTING PERCENT CHANGE TOTAL TOTAL SPORTING SPORTING PERCENT Q2toQ3 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL Q 3to04 SALES SALES GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(1)TO GOOOS GOOOS SALES SALES SALES TAX REVENUES SALES SALES SALES SALES 1983 1983 TAX TAX PER SALES PERCENT YEAR TAX 19 8 3 (4 ) SALES PERCENT YEAR CHANGE SPORTING SPORTING 8 4 (1 ) 2 3 4 .AX 2 ,7 7 9 6 9 ,4 7 5 0.1X S 7 .1 3 19.6X ALGER 16.9X 673 1 6 ,825 O.OX S I .8 2 34.9X 4 . OX 2 ,7 7 9 6 9 ,4 7 5 0.1X SO.85 19.9X -64.6X SALES TAX 1 9 8 4 (1 ) ALCONA ALLEGAN PER 19 8 4 (2 ) 1 4 ,1 7 8 3 5 4 ,4 5 0 823 2 0 ,5 7 5 O.OX $ 2 .1 1 7.3X -3Q.9X 2 ,5 2 4 3 3 .OX 1 ,9 2 8 4 8 ,2 0 0 261 6 ,5 2 5 O.OX $ 0 .7 1 20.3X -1 7 .4 X 242 6 ,0 5 0 -3 7 .4 X 1 3 ,984 3 4 9 ,6 0 0 2 ,8 9 9 7 2 ,4 7 5 0 .1 X 17.7X 16.2X 4 ,9 3 2 1 23,300 $ 0 .8 9 6 3 ,1 0 0 -1 8 .8 X 2 1 ,1 4 7 5 2 8,675 0.7X $ 1 6 .3 6 3 1 . IX 32.3X 6 7 ,9 6 7 1 ,6 9 9 ,1 7 5 1 4,0 5 3 3 5 1 ,3 2 5 0 .6 X $ 1 0 .8 7 20.6X 2 6 . IX 1 9 ,8 9 7 4 9 7 ,4 2 5 6 6 .SX 4 ,9 7 9 124,475 0.2X S 7 .6 9 14.5X -6 2 .4 X 3 4 ,3 8 0 8 5 9 ,5 0 0 7 ,1 9 7 179,925 0 .3 X $11 .1 1 26.5X -1 2 .2 X 5 ,4 7 5 1 36,875 ARENAC 49.0X 6 ,3 7 0 1 5 9 ,250 0.2X S 1 0 .8 3 11.9X -7 3 .5 X 53,3 1 1 1 .3 3 2 ,7 7 5 2 ,5 9 6 6 4 ,9 0 0 0 .1 X $ 4 .4 1 1 2 .IX - 6 1 . 2X 5 ,2 1 9 1 30,475 BARAGA 87.4X 2 ,4 1 0 6 0 ,2 5 0 0 .1 X S 7 .1 0 34.4X 1S.5X 7 ,0 0 1 175 ,0 2 5 1 ,3 4 2 3 3 ,5 5 0 0 .1 X $ 3 .9 5 2 7 . IX -3 .6 X 1 ,1 9 2 2 9 ,8 0 0 BARRY 4 1 .7X 2 0 ,0 4 6 5 0 1 ,1 5 0 0.6X $ 1 0 .9 5 34.9X 28.8X 5 7 ,3 6 8 1 ,4 3 4 ,2 0 0 12,1 1 4 3 0 2 ,8 5 0 0 .5 X $ 6 .6 2 18.2X 12.4X 11,241 2 8 1 ,0 2 5 2 .4 X $ 1 0 .8 5 2 ,4 3 6 ,9 5 0 BAY BENZIE BERRIEN BRANCH -6 .9 X 5 0 ,6 3 7 1 ,2 6 5 ,9 2 5 1.6X $ 1 0 .5 6 19.8X - 3 3 .8X 2 5 5 ,3 4 4 6 ,3 8 3 ,6 0 0 5 2 ,0 3 9 1 ,3 0 0 ,9 7 5 19.7X 12.8X 9 7 ,4 7 8 248.2X 2 ,6 4 4 6 6 ,1 0 0 0.1X $ 5 .9 0 16.2X -7 2 .2 X 1 6 ,322 4 0 8 ,0 5 0 1,5 5 2 3 8 ,8 0 0 0 .1 X $ 3 .4 6 7.8X 8.5X 5 .0 0 9 125,225 3.2X 3 3 ,791 8 4 4,775 1.1X S 4 .9 3 2 1 . 7X - 3 1 .4X 1 5 6 ,0 3 6 3 ,9 0 0 ,9 0 0 2 7 ,6 6 8 6 9 1 ,7 0 0 1.3X $ 4 .0 4 15.8X 9.3 X 5 3 ,2 9 7 1 ,3 3 2 ,4 2 5 7.0X 11,224 2 8 0 ,6 0 0 0.4X $ 6 .9 8 22.7X -31.9X 4 9 ,4 8 5 1 ,2 3 7 ,1 2 5 6 ,2 0 9 155,225 0 .3 X $ 3 .8 6 13.4X -2 .7 X 1 4 ,9 0 9 3 7 2 ,7 2 5 CALHOUN -6 .4 X 2 0 ,9 6 5 5 2 4 ,125 0.7X $ 3 .7 0 2 1 .3X -2 9 .3 X 9 8 ,2 4 6 2 ,4 5 6 ,1 5 0 1 5 ,9 0 6 3 9 7 ,6 5 0 0.7 X $ 2 .8 1 18.7X -0 .2 X 2 4 ,9 1 7 6 2 2 ,9 2 5 CASS -8 .5 X 1 ,9 9 7 4 9 ,9 2 5 0.1X S 1 .0 1 19.6X -39.8X 10,181 2 5 4 ,5 2 5 1,151 2 8 ,7 7 5 0 .1 X $ 0 .5 8 13.5X -6 .9 X 2 ,8 3 0 7 0 ,7 5 0 CHARLVX. 46.2X 2 ,561 6 4 ,0 2 5 0 .1 X $ 3 .2 2 19.2X -4 8 .9 X 1 3 ,312 3 3 2 ,8 0 0 2 ,0 8 4 5 2 ,1 0 0 0 .1 X $ 2 .6 2 1 5 .9X -9 .9 S 3 ,5 7 2 8 9 ,3 0 0 CHEBOYGAN 3 5 . IX 2 ,3 8 5 5 9 ,6 2 5 0.1X CKIPPEUA -3 .2 X 1 3 ,1 1 0 3 2 7 ,7 5 0 CLARE -2 3 .9 X 838 CLINTON -2 7 .8 X 914 CRAUFORD 88.6X 2 ,9 0 5 DELTA 10.0X 11,932 DICKINSON $ 2 .8 9 14.8X -6 6 .3 X 1 6 ,0 7 7 4 0 1 ,9 2 5 1,4 8 0 3 7 ,0 0 0 0 .1 X $ 1 .7 9 6.9X 6.6X 6 ,0 8 0 152,000 0.4X $ 1 1 .2 9 30.5X 22.5X 4 2 ,9 8 2 1 ,0 7 4 ,5 5 0 7 ,4 7 6 186,900 0 .3 X $ 6 .4 4 17.1X -7 .8 X 11,6 3 4 2 9 0 .8 5 0 2 0 ,9 5 0 O.OX $ 0 .8 8 41.4X 2 6 1 .2X 2 ,0 2 2 5 0 ,5 5 0 1 1 ,9 4 0 2 9 8 ,5 0 0 0 .5 X $ 1 2 .5 3 16.0X 1 7 4 5 .4X 14,1 2 1 3 5 3 ,0 2 5 2 2 ,8 5 0 O.OX $ 0 .4 1 13.4X -5 5 .5 X 6 ,8 4 0 171 ,0 0 0 671 16,775 O.OX $ 0 .3 0 11.6X -3 4 .7 X 2 ,5 6 1 6 4 ,0 2 5 72,6 2 5 G.1X $ 7 .6 7 2 8 .OX - 3 0 .8X 10,3 6 0 2 5 9 .0 0 0 1 ,8 7 8 4 6 ,9 5 0 0 .1 X $ 4 .9 6 1 5 .OX 82.7X 3 ,8 8 2 9 7 ,0 5 0 2 9 8 ,3 0 0 0.4X S 7 .6 6 2 6 . IX - 1 1 . 7X 4 5 ,7 9 6 1 ,1 4 4 ,9 0 0 6 ,8 0 0 170 ,0 0 0 0 .3 X $ 4 .3 6 16.5X -1 5 .8 X 1 2 ,4 4 3 3 1 1 ,0 7 5 -1 8 .6 X 6 ,7 9 7 169,925 0.2X $ 6 .7 1 33.2X 68.6X 20,501 5 1 2 ,5 2 5 4 ,2 3 9 105,975 0 .2 X $ 4 .1 8 21.7X -1 0 .2 X 5 ,0 2 2 125,5 5 0 EATON 24.5X 2 5 ,7 7 3 64 4 ,3 2 5 0 .8 X $ 7 .2 9 2 1 .4X -4 2 .2 X 120 ,3 2 8 3 ,0 0 8 ,2 0 0 14,5 9 8 3 6 4 ,9 5 0 0 .7 X $ 4 .1 3 ii.ex 2.9X 4 0 ,0 1 8 1 ,0 0 0 ,4 5 0 EHMET 99.6X 4 5 ,6 7 6 1 ,1 4 1 ,9 0 0 1.4X $ 4 9 .6 7 32.3X 9.6X 1 4 1 ,2 6 7 3 ,5 3 1 ,6 7 5 3 6 ,1 9 9 904 ,9 7 5 1.6X $ 3 9 .3 6 2 5 . IX 9.5X 2 1 ,7 6 3 5 4 4 ,0 7 5 GENESSE -8 .7 X 21 1 ,6 8 0 5 ,2 9 2 ,0 0 0 6 .7 X $ 1 1 .7 5 2 4 .4X -1 5 .5 X 8 6 7 ,4 4 7 2 1 ,6 8 6 ,1 7 5 150 ,7 9 0 3 ,7 6 9 ,7 5 0 6 .8 X $ 8 .3 7 15.9X 1 5 .5X 3 0 6 ,1 8 2 7 ,6 5 4 ,5 5 0 0 .1 X 9 7 .1 7 5 GLADWIN 33.4X 2 ,6 2 7 6 5 ,6 7 5 $ 3 .2 9 1S.0X -5 6 .4 X 1 4 ,623 3 6 5 ,5 7 5 1,8 8 3 4 7 ,0 7 5 $ 2 .3 6 12.4X 29.3X 3 ,8 8 7 GOGEBIC - 6 7 . IX 8 ,4 9 2 2 1 2 ,3 0 0 0.3X $ 1 0 .7 8 3 0 . 7X 4 0 1 .OX 2 7 ,6 3 3 6 9 0 ,8 2 5 12,0 4 5 3 0 1 ,1 2 5 0.5 X $ 1 5 .3 0 4 7 . IX • 2 . IX 3 ,1 0 5 77,6 2 5 19.4X 6 0 ,2 2 7 1 ,5 0 5 ,6 7 5 1.9X $ 2 7 .4 3 26.3X -1 7 .3 X 229,351 5 ,7 3 3 ,7 7 5 4 4 ,7 8 6 1 ,1 1 9 ,6 5 0 2 . OX $ 2 0 .3 9 1 6 .IX 2 6 .SX 7 8 ,6 1 0 1 ,9 6 5 ,2 5 0 GR. TRAV. 0.1X 285 ALPENA ANTRIM COUNTY CHANGE SPORTING SPORTING PERCENT CHANGE TOTAL TOTAL SPORTING SPORTING PERCENT Q2toQ3 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL Q3toQ4 SALES SALES GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 8 3 ( 1 >T0 GOOOS GOOOS SALES SALES SALES TAX REVENUES SALES SALES SALES SALES 1983 1983 TAX TAX PER SALES PERCENT YEAR TAX 1 98 3 (4 ) GRATOIT PER SALES PERCENT YEAR CHANGE SPORTING SPORTING 8 4 (1 ) SALES TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) 35.6X 3 ,8 7 8 9 6 ,9 5 0 0.1X $ 2 .4 0 23.7X -3 6 .3 X 16,344 4 0 8 ,6 0 0 2 ,5 5 4 6 3 ,8 5 0 0 .1X $ 1 .5 8 14.9X 34.8X 4 ,7 5 0 2.6X 3 ,7 2 4 9 3 ,1 0 0 0.1X $ 2 .2 1 22.6X - 3 3 . IX 16,4 5 0 4 1 1 ,2 5 0 2 ,0 0 9 5 0 ,2 2 5 0 .1X $ 1 .1 9 11.8X 15.9X 5 .7 5 8 143,9 5 0 HOUGHTON - 1 2 .OX 1 3 ,333 3 3 3 ,325 0.4X $ 8 .8 0 3 1 .9X 35.5X 4 1 ,8 3 6 1 ,0 4 5 ,9 0 0 7 ,2 0 3 1 80,075 0.3X $ 4 .7 5 16.4X -3 .7 X 10,6 9 2 2 6 7 ,3 0 0 HURON - 1 6 .BX 7 ,1 5 1 178,775 0.2X $ 4 .9 0 10.7X -6 8 .4 X 6 6 ,761 1 ,6 6 9 ,0 2 5 1 1,1 2 1 2 7 8 ,0 2 5 0.5X $ 7 .6 3 26.5X 1 4 .5X 1 8 ,6 0 8 4 6 5 ,2 0 0 INGHAM - 2 1 .OX 4 7 ,6 3 3 1 ,1 9 0 ,8 2 5 1.5X S 4 .3 2 24.3X -2 .8 X 1 9 6 ,4 0 7 4 ,9 1 0 ,1 7 5 4 0 ,5 1 3 1 ,0 1 2 ,8 2 5 1.8X $ 3 .6 8 21.2% 7.4X 6 0 ,5 3 8 1 ,5 1 3 ,4 5 0 HILLSDALE 1 1 8 ,7 5 0 IONIA -2 .1 X 4 ,1 1 3 102,825 0.1X S I . 98 2 1 .4X -2 0 .2 X 1 9 ,1 8 0 4 7 9 ,5 0 0 2 ,7 1 7 6 7 ,9 2 5 0.1X SI .31 16.9X -41.6% 5 ,6 0 0 1 4 0 ,0 0 0 IOSCO 34.5X 4 ,7 5 0 118,750 0.1X $ 4 .1 9 16.9X -5 7 .6 X 2 8 ,0 2 5 700 ,6 2 5 3 ,6 6 3 9 1 ,5 7 5 0 .2X $ 3 .2 3 11.6X -2 .2 X 7 ,9 8 0 1 9 9 ,5 0 0 2.7X 3 ,6 0 2 9 0 ,0 5 0 0.1X $ 6 .6 0 4 0 . 1X 315.9X 8 ,9 8 7 224 ,6 7 5 4 ,7 1 6 117,9 0 0 0.2X $ 8 .6 5 41.3X 28.3X 1 ,7 8 6 4 4 ,6 5 0 -4 .3 X 2 0,491 5 1 2 ,2 7 5 0.6X $ 9 .4 7 26.2X 19.5X 7 8 ,3 4 8 1 ,9 5 8 .7 0 0 1 6 ,9 7 3 4 2 4 .3 2 5 O.BX S 7 .8 4 24.6X -2S .6X 1 6 ,972 4 2 4 ,3 0 0 IRON ISABELLA JACKSON - 1 4 .OX 2 8 ,5 1 3 712,825 0.9X $ 4 .7 1 24.7X -1 0 .4 X 1 1 5 ,2 6 9 2 ,8 8 1 ,7 2 5 1 7 ,4 3 6 4 3 5 ,9 0 0 0 .8 X $ 2 .8 8 1 6 . IX •2 .8 X 3 8 ,9 5 5 9 7 3 ,8 7 5 KALAMAZOO -1 5 .4 X 5 0 .9 1 4 1 ,2 7 2 ,8 5 0 1.6X S 5 .9 9 2 1 .8X - 2 4 .6X 2 3 3 ,3 6 2 5 ,8 3 4 ,0 5 0 5 1 ,0 1 6 1 ,2 7 5 ,4 0 0 2.3X $ 6 .0 1 20.3X 45.4X 8 5 ,4 9 8 2 ,1 3 7 ,4 5 0 KALKASKA KENT KEUEENAU 71 .ax 2 ,4 7 4 6 1 ,8 5 0 0.1X $ 5 .6 5 28.3X -2 8 .6 X 8 ,7 5 2 2 1 8 ,8 0 0 1,0 5 4 2 6 ,3 5 0 O.OX $ 2 .4 1 10.5X 32.6X 2 ,3 6 2 5 9 ,0 5 0 -12.7X 1 4 0 ,197 3 ,5 0 4 ,9 2 5 4.4X $ 7 .8 8 2 2 .OX -1 7 .9 X 636,491 1 5 ,9 1 2 ,2 7 5 129,354 3 ,2 3 3 ,8 5 0 5.9X $ 7 .2 8 17.4X -O.SX 2 6 6 ,8 6 5 6 ,6 7 1 ,6 2 5 O.OX S 0 .0 0 4 7 ,4 0 0 0 0 ERR ERR 0 0 2 ,4 0 6 6 0 ,1 5 0 0.1X $ 3 0 .6 4 23.9X ERR 1 ,8 9 6 LAKE 4 0 .2X 3 ,5 6 1 8 9 ,0 2 5 0.1X $ 1 1 .5 5 30.8X - 1 2 .OX 1 1 ,5 5 2 2 8 6 ,8 0 0 1 ,1 9 0 2 9 ,7 5 0 0.1X $ 3 .8 6 9.4 X 12.3X 3 ,2 6 4 8 1 ,6 0 0 LAPEER 4 6 . OX 1 ,5 0 6 3 7 ,6 5 0 O.OX $ 0 .5 4 13.9X - 6 6 . IX 1 0 ,8 2 7 2 7 0 ,6 7 5 2 ,3 4 4 5 8 ,6 0 0 0.1X $ 0 .8 4 17.7% 2 7 . IX 4 ,2 5 8 106,4 5 0 LEELANAU ERR 305.6% 940 2 3 ,5 0 0 O.OX $ 1 .6 8 1 0 .OX - 8 5 . 4X 9 ,4 1 2 2 3 5 ,3 0 0 516 1 2 ,900 O.OX $ 0 .9 2 5.4X 12.7X 2 ,2 9 8 5 7 ,4 5 0 22.9X 1 5 ,8 2 3 39 5 ,5 7 5 0.5X $ 4 .4 0 2 5 . IX -2 6 .4 X 6 2 ,9 7 2 1 ,5 7 4 ,3 0 0 1 0 ,6 5 3 2 6 6 ,3 2 5 O.SX $ 2 .9 6 13.2X 30.8X 2 7 ,8 7 6 6 9 6 ,9 0 0 LIV. -11.4X 2 0 ,2 9 5 5 0 7,375 0.6X $ 5 .0 6 27.3X 4 . IX 7 4 ,4 1 0 1 ,8 6 0 ,2 5 0 1 7 ,9 3 6 4 4 8 ,4 0 0 O.SX $ 4 .4 7 17.6X 42.3X 3 1 ,3 8 2 7 8 4 ,5 5 0 LUCE -6.BX 1 ,2 9 8 3 2 ,4 5 0 O.OX $ 4 .8 7 19.2X -1 3 .6 X 6 ,7 5 1 168,775 423 10,575 O.OX S I .5 9 6 . IX -81.9% 1 ,3 2 9 3 3 ,2 2 5 MACKINAC • 2 8 . IX 3 ,3 0 7 8 2 ,6 7 5 0.1X $ 8 .1 2 10.5X - 7 1 . 7X 3 1 ,3 9 3 784,825 2 ,2 1 5 5 5 ,3 7 5 0.1X $ 5 .4 4 6.8X 1137.4X 13,0 5 5 3 2 6 ,3 7 5 MACOMB • 1 6 .OX 243,501 6 ,0 8 7 ,5 2 5 LENAWEE -19.9X 14 5 ,9 9 7 3 ,6 4 9 ,9 2 5 4.6X $ 5 .2 5 2 1 .OX -2 0 .2 X 6 9 6 ,0 2 8 1 7 ,4 0 0 ,7 0 0 116,6 8 4 2 ,9 1 7 ,1 0 0 S.3X $ 4 .2 0 16.SX MANISTEE 66.4X 4 ,5 1 9 112,975 0.1X $ 4 .9 1 2 4 .6X - 4 0 . 2X 18,3 6 8 4 5 9 ,2 0 0 1,931 4 8 ,2 7 5 0.1X $ 2 .1 0 10.3X 10.7X 4 ,3 5 2 108,8 0 0 MARQUETTE -7 .0 X 3 0 ,1 0 7 752,675 1.0X $ 1 0 .1 6 2 9 .9X 21.4X 100 ,7 8 8 2 ,5 1 9 ,7 0 0 21,1 8 1 529 ,5 2 5 1.0X $ 7 .1 5 19.6X 10.3X 2 8 ,0 1 8 7 0 0 ,4 5 0 MASON 99.3X 1 1 ,4 1 7 2 8 5,425 0.4X $ 1 0 .8 3 26.5X -3 8 .3 X 43,131 1 ,0 7 8 ,2 7 5 4 ,8 1 2 120,3 0 0 0.2X $ 4 .5 6 10.8X 23.2X 10,3 2 0 2S 8 .0 0 0 MECOSTA 1 5 .4X 2 0 ,6 1 5 5 1 5,375 0.7X $ 1 3 .9 4 3 0 .OX 1 3 .2X 6 8 ,7 6 0 1 ,7 1 9 ,0 0 0 1 3 ,4 4 6 3 3 6 ,1 5 0 0.6X $ 9 .0 9 19.SX -3 .1 X 16,911 4 2 2 ,7 7 5 MENOMINEE -3 .9 X 1 ,4 6 7 3 6 ,6 7 5 O.OX $ 1 .4 0 22.8X -3 5 .4 X 6 ,4 2 4 160,600 805 2 0 ,1 2 5 O.OX SO. 77 14.3X 1 5 0 .OX 2 ,2 3 9 5 5 ,9 7 5 MIDLAND -1 .5 X 2 9 ,2 5 4 7 3 1 ,3 5 0 0.9X $ 9 .9 4 28.4X 10.0X 103 ,1 8 8 2 ,5 7 9 ,7 0 0 2 2 ,6 7 4 5 6 6 ,8 5 0 1.0X $ 7 .7 0 19.6X 11.3X 3 3 ,0 2 8 8 2 5 ,7 0 0 COUNTY CHANGE SPORTING SPORTING PERCENT CHANGE TOTAL TOTAL SPORTING SPORTING PERCENT Q2toQ3 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL Q 3to04 SALES SALES GOODS GOOOS OF TOTAL CAPITA OF TOTAL 8 3 (1 )T 0 GOOOS GOODS SALES SALES SALES TAX REVENUES SALES SALES SALES SALES 1983 1983 TAX TAX PER SALES PERCENT YEAR TAX 198 3 (4 ) MISSAUKEE MONROE MONTCALM MONTH. MUSKEGON PER SALES PERCENT YEAR CHANGE SPORTING SPORTING 8 4 (1 ) SALES TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) 4 3 .OX 698 1 7 ,450 O.OX $ 1 .7 4 20.5X - 5 1 . 3X 3 ,4 1 0 8 5 ,2 5 0 260 6 ,5 0 0 O.OX $ 0 .6 5 7.5X - 2 2 . IX 3 8 .9 9 3 9 7 4 ,8 2 5 1.2X $ 7 .2 4 3 1 . OX 4 5 .SX 125,961 3 ,1 4 9 ,0 2 5 3 1 ,6 4 0 7 9 1 ,0 0 0 1.4X $ 5 .8 7 1 ,1 8 8 2 9 ,7 0 0 24.9X -5.5% 22.9X 2 8 ,2 0 0 7 0 5 ,0 0 0 24.9% 22.4% 3 3 ,3 7 4 8 3 4 ,3 5 0 4 . OX -1 2 .2 X 2 ,0 3 3 5 0 ,8 2 5 84,1 6 1 2 ,1 0 4 ,0 2 5 8 ,8 7 3 221 ,8 2 5 1.5X 2 1 ,0 3 9 5 2 5 ,975 0.7X $ 1 1 .0 6 28.8X 7.7X 7 3 ,0 7 6 1 ,8 2 6 ,9 0 0 1 6 ,2 1 0 4 0 5 ,2 5 0 0.7X $ 8 .5 2 8 4 .SX 1 ,8 0 9 4 5 ,2 2 5 0.1X $ 6 .0 4 30.6X - 2 1 .6X 5 ,9 1 9 147,975 484 1 2 ,1 0 0 O.OX $ 1 .6 2 8 . OX 3 9 ,1 1 4 9 7 7 ,8 5 0 1.2X $ 6 .2 1 2 1 .2X -3 6 .7 X 184,461 4 ,6 1 1 ,5 2 5 4 2 ,2 5 7 1 ,0 5 6 ,4 2 5 1.9X $ 6 .7 0 17.5X 59.8X 1 0 ,145 2 5 3 ,625 O.SX $ 7 .2 6 30.9X -0 .7 X 3 2 ,8 5 0 8 2 1 ,2 5 0 5 ,1 2 5 128,125 0.2X $ 3 .6 7 14.6% 30.9% 29.2X $ 2 2 .8 4 36.4X 5 1 .6X 2 ,5 3 9 ,9 4 3 6 3 ,4 9 8 ,5 7 5 5 5 8 ,4 7 0 1 3 ,9 6 1 ,7 5 0 25.3X $ 1 3 .8 0 18.5% 16.0X NEWAYGO 19.3X OAKLAND 16.4X OCEANA 1 3 3 .IX 2 ,8 1 7 7 0,4 2 5 0.1X $ 3 .2 0 1 5 .IX -69.4% 1 8 ,6 9 4 4 6 7 ,3 5 0 2 ,3 2 5 5 8 ,1 2 5 0.1X $ 2 .6 4 10.6X -1 4 .9 X 5 ,9 2 2 OGEHAU 43.3X 4 ,3 2 3 108,075 0.1X $ 6 .5 8 38.3X 22.7X 1 1 ,2 9 0 2 8 2 ,2 5 0 1 ,2 0 0 3 0 ,0 0 0 0.1X $ 1 .8 3 17.6X 2 2 .OX 1 ,8 0 3 4 5 ,0 7 5 3.8X 2 ,1 3 8 5 3 ,4 5 0 0.1X $ 5 .4 2 32.9X 5 4 .OX 6 ,4 9 4 1 62 ,3 5 0 1 ,5 0 6 3 7 .6 5 0 0.1X $ 3 .8 2 17.1% -7 .7 X 1 ,9 5 8 4 8 ,9 5 0 4 5 .OX 1 ,0 4 3 2 6 ,0 7 5 O.OX $ 1 .3 8 3 1 .5X -3 .3 X 3 ,3 1 6 8 2 ,9 0 0 1,0 9 4 2 7 ,3 5 0 O.OX $ 1 .4 4 26.2% 143.1X 782 1 9 ,550 -2 3 .1 X 1 ,5 2 5 3 8 ,1 2 5 O.OX $ 5 .5 6 34.3X 3 9 . IX 4 ,4 4 9 111,225 342 8 ,5 5 0 O.OX $ 1 .2 5 4 .6X -14.9% 911 2 2 ,7 7 5 0.3X $ 1 3 .4 4 35.3X 16.4X 2 2 ,8 4 3 5 7 1 ,0 7 5 2 ,2 8 8 5 7 ,2 0 0 0.1X $ 3 .8 2 3.4 X - 3 5 .8X 4 ,8 8 5 122,125 1.6X $ 7 .8 8 22.2X - 1 8 . OX 2 2 2 ,7 7 9 5 ,5 6 9 ,4 7 5 4 7 ,3 2 0 1 ,1 8 3 ,0 0 0 2 . IX $ 7 .5 3 23.8X 10.9% 8 4 ,6 5 7 2 ,1 1 6 ,4 2 5 ONTONAGON OSCEOLA OSCOOA 9 2 4 ,5 0 7 2 3 ,1 1 2 ,6 7 5 7 0 0 ,7 6 4 1 7 ,5 1 9 ,1 0 0 1 4 8 ,0 5 0 OTSEGO 61.2X 8 ,0 5 9 2 0 1 ,475 OTTAWA -1 3 .9 X 4 9 ,5 1 6 1 ,2 3 7 ,9 0 0 PRES. IS . -1 1 .9 X 1 ,1 4 7 28,6 7 5 O.OX $ 2 .0 1 27.5X -2 .7 X 4 ,1 6 6 104,150 444 1 1 ,1 0 0 O.OX $ 0 .7 8 12.3X -1 1 .6 X 1,021 2 5 ,5 2 5 7 1 .2X 1,551 3 8 ,7 7 5 O.OX $ 2 .3 7 1 1 .IX -7 7 .9 X 1 4 ,0 0 0 3 5 0 ,0 0 0 854 2 1 ,3 5 0 O.OX $ 1 .3 0 1.5X -3 6 .3 X 3 ,5 6 4 8 9 ,1 0 0 1 ,1 6 4 ,5 0 0 ROSCOMMON SAGINAW 8.4X 8 0 ,3 6 8 2 ,0 0 9 ,2 0 0 2.5X $ 8 .8 1 28.8X 1 8 .IX 278 ,7 8 4 6 ,9 6 9 ,6 0 0 4 4 ,2 5 3 1 ,1 0 6 ,3 2 5 2 . OX $ 4 .8 5 2 4 . OX -34.5% 4 6 ,5 8 0 ST. CLAIR 32.2X 2 6 ,0 4 9 6 5 1 ,2 2 5 O.SX $ 4 .6 9 2 3 .9X -33.2% 1 09 ,1 7 9 2 ,7 2 9 ,4 7 5 1 6 ,4 3 3 4 1 0 ,8 2 5 0.7X $ 2 .9 6 16.3X 12.2X 3 5 ,4 2 7 8 8 5 ,6 7 5 ST.JOSEPH 1S.6X 10,305 2 5 7 ,625 0.3X $ 4 .5 9 24.2X -23.9% 4 2 ,5 5 0 1 ,0 6 3 ,7 5 0 7 ,2 6 4 1 81,6 0 0 0.3X $ 3 .2 4 19.1% 3.9X 14,3 1 0 3 5 7 ,7 5 0 107.9X 5 ,9 4 7 148,675 0.2X $ 3 .6 4 3 3 .3X -18.8% 1 7 ,8 4 9 4 4 6 ,2 2 5 640 16,0 0 0 O.OX $ 0 .3 9 6.3% - 3 9 . OX 3 ,6 6 3 9 1 ,5 7 5 21 .OX 585 1 4 ,625 O.OX $ 1 .7 1 1 4 .OX -5 3 .2 X 4 ,1 8 6 1 0 4 ,6 5 0 255 6 ,3 7 5 O.OX $ 0 .7 4 1.0X -8 0 .7 X 945 2 3 ,6 2 5 4.1X 2 4 ,5 3 4 6 1 3 ,3 5 0 o.ax $ 8 .6 2 20.9X -31.4% 117 ,4 5 9 2 ,9 3 6 ,4 7 5 2 3 ,2 0 6 5 8 0 ,1 5 0 1.1X $ 8 .1 6 22.7X 1.7X 3 4 ,2 7 2 8 5 6 ,8 0 0 SANILAC SCHCRFT. SHIAUASSE TUSCOLA -12.9X 7 ,4 0 3 185,075 0.2X $ 3 .2 5 1 3 .IX -59.1% 5 6 ,5 4 6 1 ,4 1 3 ,6 5 0 11,195 279 ,8 7 5 O.SX $ 4 .9 1 19.4X 9 . OX 1 8 ,5 9 6 4 6 4 ,9 0 0 VAN SUREN -2 2 .9 X 7 ,5 5 7 188,925 0.2X $ 2 .8 3 17.9X - 3 9 . OX 4 2 ,1 7 4 1 ,0 5 4 ,3 5 0 7 ,2 7 2 1 81,8 0 0 0.3X $ 2 .7 2 9 . IX 1 8 . IX 15,6 4 3 3 9 1 ,0 7 5 8 8 ,9 3 9 2 ,2 2 3 ,4 7 5 -0 .7 X 7 7 ,1 8 4 1 ,9 2 9 ,6 0 0 2.4X $ 7 .2 9 2 7.7X -3 .2 X 2 7 8 ,4 5 8 6 ,9 6 1 ,4 5 0 4 3 ,6 5 2 1 ,0 9 1 ,3 0 0 WAYNE •14.4X 3 6 2 ,1 5 6 9 ,0 5 3 ,9 0 0 11.4X $ 3 .8 7 24.8X • 3 . OX 1 ,4 5 8 ,7 0 9 3 6 ,4 6 7 ,7 2 5 2 62,451 6 ,5 6 1 ,2 7 5 11.9X $ 2 .8 1 WEXFORD -1S.7X 3 6 ,361 9 0 9 ,025 $ 5 .9 1 1 2 .OX 2 2 1 ,2 6 7 5 ,5 3 1 ,6 7 5 WASHTENAW OUT/STATE 2 . OX $ 4 .1 2 1.1X $ 3 6 .2 1 54.8X 2 5 3 .OX 6 6 ,3 8 3 1 ,6 5 9 ,5 7 5 5 ,9 3 7 1 48,425 0.3X 7 . OX 4 0 . OX 66.8X 5 5 3 ,1 6 4 1 3 ,8 2 9 ,1 0 0 118,5 5 6 2 ,9 6 3 ,9 0 0 5.4X 8.5X 5.7X 2 1 .7X -8 .7 X 4.2 X -2 0 .8 X 5 ,9 6 9 149,225 15.6% 46.7X 1 70,6 7 6 4 ,2 6 6 ,9 0 0 4 4 5 ,2 0 7 1 1 ,1 3 0 ,1 7 5 i PERCENT CHANGE TOTAL TOTAL SPORTING SPORTING GOOOS GOODS OF TOTAL CAPITA OF TOTAL G3toQ4 SALES SALES GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 8 3 ( 1 ) 1 0 GOOOS SALES SALES SALES TAX REVENUES SALES SALES SALES 1983 1983 TAX PER SALES PERCENT YEAR TAX PER SALES PERCENT YEAR 8 8 7 ,3 8 3 100.0X 2 7 .8 X S 7 .9 5 2 .2 X 1 1 ,4 0 3 ,5 7 8 2 8 5 ,0 8 9 ,4 5 0 2 ,2 0 5 ,1 5 7 1 3 0 ,7 2 8 3 ,2 6 8 ,1 9 7 2 5 ,1 4 0 8 4 (1 ) SALES SPORTING GOODS SALES TAX 1 9 8 4 (1 ) 0 .3 X 3 ,1 6 7 ,3 7 7 7 9 ,1 8 4 ,4 2 5 3 5 ,4 9 5 PERCENT i SPORTING SPORTING Q 2to03 1983(A) COUNTY i R CHANGE TAX TOTAL f> COUNTY 1 9 8 4 (2 ) 5 5 ,1 2 8 ,9 2 5 6 2 8 ,4 9 4 1 0 0 .OX 17.5X S 5 .6 3 7 .6 X 3 ,5 5 6 ,4 5 6 8 8 ,9 1 1 ,4 ( 4 0 ,7 9 3 1 ,0 1 9 ,8 1 ro 00 00 PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 83(2)TO GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(3)T0 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(4)TO SALES SALES YEAR 84(2) SALES SALES SALES SALES YEAR 84(3) SALES SALES SALES SALES YEAR 84(4) TAX TAX TAX TAX TAX 1984(3) 1984(4) O.IX *6.48 ALCONA 22.SX 7.4X 5,635 140,875 0.2X S14.46 50.2X -2B.3X 2,247 20.OX -19.1X 56,175 O.IX $5.77 O.OX *0.66 18.8X ■44.IX ALGER 7,800 312 O.OX $0.85 24.2X -38.3X 473 36.7X -29.7X 11,825 O.OX $1.28 30. IX 15.5X ALLEGAN O.IX $1.51 5,283 132,075 0.2X $1.62 3,288 32.2X 19.OX 82,200 O.IX $1.01 20.OX 18.3X 0.6X $15.39 29.2X ALPENA 1.0X 15,713 392,825 0.5X $12.16 23.1X -1.7X 18,426 460,650 0.5X $14.25 27.IX -12.9X 20.2X -31.IX ANTRIM 0.2X $6.45 9,606 240,150 4,884 0.3X $14.83 35.4X -27.5X 122,100 0.1X $7.54 18.OX -1.9X 8,984 24.3X -67.7X 224,600 ARENAC O.IX $8.67 0.3X $15.27 41.9X -62.7X 4,656 0.1X $7.92 21.7X -26.9X 116,400 BARAGA O.OX $3.51 24.IX 785 19,625 1,634 7.IX O.OX $2.31 15.8X -62.4X 40,850 O.OX $4.81 33.OX -32.2X BARRY 16.9X 493,125 0.3X $6.14 2.4X 19,725 0.6X $10.77 29.7X 26.7X 23,299 582,475 0.7X $12.72 35.1X 16.2X 36.9X 1B.7X 65.960 1,649,000 BAY 2.7X $20.33 2.OX $13.76 24.9X -13.7X 48,962 1,224,050 1.4X $10.21 18.5X -3.3X 0.1X $11.18 25.2X 83.3X 11,072 276,800 0.3X $24.70 2,205 BENZIE S5.8X 16.4X O.IX $4.92 11.IX -16.6X 55,125 BERRIEN 1.5X $7.78 30.3X 11.BX 56,165 1,404,125 1.7X $8.20 32.OX 14.IX 38,506 962,650 1.1X $5.62 21.9X 14.OX 32.3X -3.2X 16,447 411,175 35.6X -0.2X BRANCH 0.4X $9.27 0.5X $10.23 0.3X $5.37 18.7X -23.IX 8,631 215,775 28.OX •19.6X 20,437 CALHOUN 0.7X $4.40 29.3X -21.4X 23,841 596,025 0.7X $4.21 0.6X $3.61 24.OX -2.5X 510,925 CASS 33.IX -22.OX 3,604 90,100 42.IX 8.6X O.IX $1.43 0.1X $1.82 966 11.3X -51.6X 24,150 O.OX $0.49 27.2X CHARLVX. O.IX $4.49 4.2X 5,381 134,525 0.2X $6.76 41.OX 7.4X 2,075 15.8X -19.OX 51,875 O.IX $2.61 CHEBOYGAN 0.2X $7.36 28.2X 16.2X 11,008 275,200 0.3X $13.33 51.IX 55.7X 13.8X 24,9X 2,980 74,500 O.IX $3.61 26.5X CHIPPEUA 0.3X $10.02 S.2X 12,928 323,200 29.5X 20.8X 11,784 0.4X $11.13 294,600 0.3X $10.15 26.9X -10.IX 0.4X $14.82 18.9X 4529.8X 19,770 494,250 26.5X 8421.6X 28,691 CLARE 0.6X $20.75 O.SX $30.11 717,275 38.5X 3323.7X 44.3X -10.0X CLINTON O.IX $1.15 1,982 49,550 O.IX $0.89 34.2X -3.5X 573 O.OX $0.26 9.9X -37.3X 14,325 CRAUFORO O.IX $10.25 31.IX 74.3X 4,110 102,750 32.9X -2.1X 2,626 0.1X $10.86 65,650 O.IX $6.94 21.OX -9.6X DELTA 0.3X $7.99 30.3X 271,575 0.3X $6.97 1.3X 10,863 26.4X -19.6X 11,004 275,100 0.3X $7.06 26.8X -7.8X DICKINSON 0.1X $4.95 87,125 6,747 25.BX 1.4X 3,485 O.IX *3.44 17.9X -13.5X 168,675 0.2X $6.66 34.6X -0.7X 32.3X 11 .ex 42,470 1,061,750 EATON 1.1X $11.33 1.3X $12.02 34.3X -4.7X 26,669 666,725 0.8X $7.55 21.5X 3.5X EMHET 0.6X $23.66 1S.1X 4.2X 43,715 1,092,875 30.3X 4.9X 42,810 1,070,250 1.3X $46.55 29.6X -6.3X 1.3X $47.53 2 .ex 230,971 5,774,275 32.AX 11.SX 257,664 6,441,600 GENESSE 6.6X $16.99 7.8X $14.30 27.2X 6.6X $12.82 24.4X 9.IX 6,617 170,425 O.IX $3.29 17.3X GLADUIN O.IX $4.87 25.5X -13.9X 0.2X $8.54 44.ax 13.2X 2,630 65,750 O.IX GOGEBIC 12.IX -39.7X 1,852 46,300 9.3X 8,594 O.IX $3.94 O.IX $2.35 7.2X 214,850 0.3X $10.91 33.6X 1.2X GR. TRAIT 2.2X $35.80 28.2X 28.9X 85,615 2,140,375 30.7X 17.6X 69,658 1,741,450 2.6X $38.99 2.OX $31.72 25.0X 15.7X COUNTY TOTAL SALES TAX 1984 TOTAL SALES REVENUES 1984 280,725 11,229 32,200 1,288 16,402 410,050 68,089 1,702,225 27,162 679,050 21,455 536,375 4,953 123,825 66,379 1,659,475 264,439 6,610,975 19,838 495,950 175,636 4,390,900 46,196 1,154,900 85,101 2,127,525 8,551 213,775 13,112 327,800 21,548 538,700 43,822 1,095,550 74,522 1,863,050 5,787 144,675 12,496 312,400 41,110 1,027,750 19,493 487,325 123,755 3,093,875 144,487 3,612,175 945,607 23,640,175 15,217 380,425 25,596 639,900 278,669 6,966,725 PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT PER PERCENT CHANGE SPORTING SPORTING OF TOTAL CAPITA OF TOTAL 81(2)10 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(3)T0 GOOOS GOOOS SALES SALES TEAR 84(2) SALES SALES SALES SALES YEAR 84(3) SALES SALES TAX TAX TAX TAX 1984(3) 1984(4) 27.6X GRATOIT O.IX $2.94 5.9X 6,640 166,000 38.6X 0.2X $4.10 9.IX 3,245 81,125 33.9X HILLSDALE 0.2X S3.42 6.1X 5,496 137,400 32.4X -1.1X 0.2X $3.27 1.713 92,825 HOUGHTON O.IX $7.06 24.4X -4.4X 11,351 283,775 0.3X $7.49 25.9X 15.3X 14,616 365,400 O.SX $12.76 44.3X -31.7X 7,966 199,150 HURON 0.2X $5.46 19.OX -64.8X 4,269 106,725 31.6X -2.4X 49,402 1,235,050 INGHAH 1.7X $5.49 25.8X 1.5X $4.48 O.SX 40,955 1,023,875 34.9X IONIA 0.2X $2.70 6.5X 4,139 103,475 25.ax -19.6X 0.1X $2.00 3,580 69,500 25.3X -4.2X 13,885 IOSCO 0.2X $7.04 347,125 0.4X $12.24 44.OX 24.OX 6,012 150,300 IRON 15.6X 111.9X 1,627 40,675 O.IX $3.27 O.OX $2.98 14.2X 87.9X 3,293 82,325 ISABELLA 24.6X -5.2X 17,254 O.SX $7.84 431,350 0.5X $7.97 25.OX 0.7X 17,711 442,775 JACKSON 36.OX 5.3X 27,470 1.1X $6.43 686,750 O.SX $4.53 25.4X -13.7% 24,222 605,550 KALAMAZOO 2.4X $10.06 34.OX 7.IX 68,563 1,714,075 2.IX $8.07 27.3X 1.SX 46,098 1,152,450 23.6X 17.1X KALKASKA O.IX $5.39 3,163 79,075 31.6X -8.7X O.IX $7.22 3,418 85,450 25.9X 12.8X 153,290 3,832,250 7.5X $15.01 36.OX 36.4X 192,558 4,813,950 KENT 5.9X $10.83 KEUEENAU 18.8X 1,944 48,600 O.IX $24.15 ERR O.IX $24.76 19.3X ERR 3,828 95,700 25.ex 13.IX O.IX $10.58 33.2% LAKE 4,205 105,125 0.1X $13.63 3.9X 3,995 99.875 32.2X 40.IX O.IX $1.52 3,783 94,575 28.6X -14.7X LAPEER O.IX $1.35 2,821 70,525 24.IX 45.OX LEELANAU O.IX $4.10 5,613 140,325 0.2X $10.02 58.9X -12.7X 1,106 27,650 O.SX $7.75 34.5X 59.3X 24,869 621,725 30.8X 15.6X 17,299 LENAUEE 0.8X $6.91 432,475 30.7X 42.6% 25,237 630,925 LIV. 0.9X $7.82 0.8X $6.29 24.7X 29.4X 27,536 688,400 19.IX -17.6X LUCE O.OX $4.99 2,831 70,775 O.IX $10.63 40.7X 68.tX 2,372 59,300 39.9X -19.6X 13,267 MACKINAC 0.4X $32.07 331,675 0.4X $32.59 40.6X 13.7X 104,150 4,166 34.4X 6.7X 197,390 4,934,750 27.9X MACOMB 6.8X $8.76 6.OX $7.10 8.OX 150,055 3,751,375 23.2X -4.2X 7,672 191,800 40.9% MANISTEE O.IX $4.73 0.2X $8.33 1.5X 4,825 120,625 25.9% MARQUETTE 0.8X $9.45 5.OX 26,247 656,175 24.3X 5.8X 32,766 819,150 0.8X $8.86 23.IX 11.IX 19,589 489,725 0.6X S18.57 43.BX MASON 0.3X $9.79 5.8X 10,041 251,025 0.5X $11.44 549,350 MECOSTA 24.5X 5.3X 21,974 0.7X $14.86 31.8X 20.7X 16,752 418,800 39.9X -5.2X MENOMINEE O.IX $2.14 2,071 51,775 36.9X -8.8X 501 O.IX $1.98 12,575 28.5% 22.4X 30,957 NIDLANO 0.9X $11.22 771,925 0.9X $10.52 26.7X 16.SX 29,088 727,200 COUNTY PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(4)T0 SALES SALES SALES YEAR TAX 84(4) TAX 1984 O.IX $2.01 O.IX $2.21 0.4X $9.65 O.IX $2.93 1.2X $3.72 O.IX $1.73 0.2X $5.30 O.IX $6.04 O.SX $8.18 0.7X $4.00 1.4X $5.43 O.IX $7.80 4.5X $8.62 0.1X $48.75 O.IX $12.95 O.IX $1.01 O.OX $1.97 O.SX $4.81 O.SX $6.86 O.IX $8.91 O.IX $10.23 4.4X $5.40 O.IX $5.24 1.0X $11.05 0.3X $9.52 0.5X $11.33 O.OX $0.48 0.9X $9.88 18.9X 21.9X 33.3X 10.2% 21.4X 22.3X 19.IX 28.8X 25.7X 22.4X 18.4X 34.2% 20.7X 38.OX 31.6X 21.4X 11.6X 21.4X 27.0% 34.IX 12.7X 21.2% 25.7X 30.3X 22.4X 24.2X O.OX 25.IX -16.3X -0.3X 9.6X -40.3X -14.OX -13.OX 26.6X -8.6X -13.6X -15.OX -9.5X 38.2X 9.3X ERR 12.2X 87.3X 17.7% 9.3X 35.7X 82.7% 26.OX 2.8X 6.8X 8.8% -12.IX -18.7X •65.7X •0.6X TOTAL SALES REVENUES 1984 17,189 429,725 16,976 424,400 43,862 1,096,550 41,964 1,049,100 191,408 4,785,200 16,036 400,900 31,540 788,500 11,422 285,550 68,910 1,722,750 108,083 2,702,075 251,175 6,279,375 9,997 249,925 742,067 18,551,675 10.074 251,850 12,654 316,350 13,206 330,150 9,533 238,325 80,697 2,017,425 102,091 2,552,275 6,955 173,875 32,703 817,575 707,630 17,690,750 18,780 469,500 108,212 2,705,300 44,762 1,119,050 69,083 1,727,075 5,618 140,450 115,747 2,893,675 COUNTY PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(2)10 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(3)TO GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(4)T0 SALES SALES SALES YEAR 84(2) SALES SALES SALES SALES YEAR 84(3) SALES SALES SALES SALES YEAR 84(4) TAX TAX TAX TAX TAX TAX 1984 1984(3) 1984(4) MISSAUKEE 34.3X 18.4X O.OX S2.97 1,256 31,400 O.OX S3.14 36.3X -12.4X 755 18,875 O.OX SI .89 21.8X 8.2X 3,459 MONROE O.SX *5.24 22.2X *18.IX 28,832 720,800 0.9X S5.3S 7.6X 38,220 22.7X 955,500 1.1X *7.10 30.IX -2.0X 126,892 0.9X *17.54 MONTCALM S1.2X 73.3X 7,960 199,000 0.2X S4.18 12.2X -59.3X 7,590 169,750 0.2X S3.99 11.7X -63.9X 65,134 MONTH. O.IX S6.78 16.7X 62.5X 5,593 139,825 0.2X S18.66 45.ax 142.3X 102,450 4,098 O.IX *13.67 33.6X 126.5X 12,208 MUSKEGON 2.4X S13.3S 34.9X 47.2X 81,349 2,033,725 2.5X S12.91 33.8X 31.8X 33,238 830,950 13.ex -15.OX 241,005 1.0X S5.27 NEUAYGO 0.2X S6.35 25.3X 3.SX 11,197 279,925 0.3X S8.02 9.6X 32.OX 9,850 246,250 0.3X S7.05 28.IX -2.9X 35,045 OAKLAND 23.3X 33.7X 669,159 16,728,975 19.7X S17.31 20.4X *16.53 22.2X 9.7X1,085.267 27,131,675 31.9X *26.82 36.OX 17.4X 3,013,660 OCEANA 0.2X *6.73 27.OX 50.OX 12,330 308,250 0.4X S14.01 56.2X 34.OX 61,950 2,478 O.IX S2.62 11.3X -12.OX 21,930 OGEMAW O.IX *2.74 26.5X -26.7X 1,727 O.IX S2.63 25.4X -51.OX 43,175 1,772 44,300 O.IX *2.70 6,808 26.OX -59.OX ONTONAGON O.IX *4.96 22.2X 46.4X 2,234 55,850 O.IX *5.66 25.4X 61 .OX 3,525 88,125 0.1X S8.94 40.OX 64.9X 8,811 OSCEOLA 18.7X 5.IX 789 19,725 O.OX S1.04 O.OX SI.03 18.9X -26.9X 2,264 56,600 O.IX S2.99 4,177 54.2X 117.1X OSCOOA 12.2X -36.IX 974 24,350 O.OX *3.55 O.OX S3.32 13.1X -11.IX 3,264 81,600 O.IX *11.90 43.9X 114.OX 7,437 OTSEGO 7.3X 13.ax 7,370 184,250 0.2X *12.29 11.0X 6.4X 0.1X S8.15 7,202 180,050 0.2X *12.01 10.8X -10.6X 66,777 OTTAWA 42.6X 20.6X 64,457 1,611,425 2.OX S10.25 32.5X 6.7X 49,036 1,225,900 2.4X S13.47 1.4X *7.80 24.7X -1.0X 198,594 1,210 O.OX *2.12 PRES. IS. O.OX S1.79 2B.3X -23.7X 30,250 33.SX 2.6X 525 13,125 14.5X -54.2X 3,610 O.OX SO.92 ROSCOMMON 5,667 0.1X *5.44 6.5X -13.OX 141,675 0.2X *8.65 10.3X -19.2X 1,616 40.400 O.OX S2.47 55,100 2.9X 4.2X 1.6X *5.90 SAGINAW 1.3X *5.11 2S.3X -25.8X 53,811 1,345,275 29.2X -20.9X 67,528 1,688,200 2.OX S7.40 36.6X -16.OX 184,352 1.0X *5.84 ST. CLAIR 35.IX 20.IX 32,400 810,000 32. IX -16.9X 25,770 644,250 1.0X S6.38 O.SX *4.64 25.6X -1.1X 100,861 ST.JOSEPH 37.7X 22.2X 12,904 322,600 0.4X *5.75 34.OX -4.7X 10,101 252,525 0.4X *6.38 0.3X S4.50 26.6X -2.OX 37,955 SANILAC 4,268 O.IX *2.62 2,042 51,050 O.IX *2.25 35.8X 3.9X 106,700 41.7X -41.ex O.IX S1.25 20.OX -65.7X 10,228 3.ex -21.4X SCHCRFT. 3.7X -8.5X 983 O.OX (2.87 649 16,225 O.OX *2.76 24.575 O.OX S1.89 2.5X 10.9X 25,783 SHIAWASSE 33.5X -0.2X 30,537 763,425 0.9X *10.73 654,950 1.0X *12.04 29.9X -14.6X 26,198 O.SX S9.21 25.6X 6.6X 102,202 8.OX 12,241 TUSCOLA 32.3X -10.5X 19,549 488,725 0.6X *8.58 33.9X 306,025 0.4X *5.37 21.2X 65.4X 0.5X S8.16 57,658 VAN BUREN 19.6X -2.7X 12.287 307,175 0.4X *4.60 15.4X -O.BX 8,411 210,275 0.2X *3.15 10.5X 11.3X 0.4X S5.85 79,993 WASHTENAW 2.SX S8.40 17.3X 10.BX 85,407 2,135,175 2.6X S8.06 16.6X 7.IX 78,150 1,953,750 2.3X *7.38 1S.2X 1.3X 514,947 WAYNE 36.BX 11.7X *4.11 2.9X 375,213 9,380,32S 31 .OX 12.SX S4.76 2.2X 384,100 9,602,500 31.7X 11.OX S4.01 3.6X 1,210,457 WEXFORD 8,656 0.3X *8.62 0.2X SS.94 4.2X -51.2X 216,400 6.1X -16.OX 8,997 224,925 0.3X S8.96 6.3X -75.3X 142,178 5.8X 36.SX 26.4X 760,559 OUT/STATE 4.8X 22.4X 44.IX 191,613 4,790,325 2S.2X 44.4X 279,714 6,992,850 8.2X TOTAL SALES REVENUES 1984 86,475 3,172,300 1,628,350 305,200 6,025,125 876,125 75,341,500 576,375 162,550 230,575 123,225 137,275 543,625 6,136,750 80,000 292,525 5,304,300 2,750,750 1,114,475 265,325 70,800 2,855,325 1,539,525 1,090,325 7,403,700 36,674,275 738,975 19,013,975 COUNTY PERCENT PER PERCENT CHANGE SPORTING SPORTING OF TOTAL CAPITA OF TOTAL 83(2)TO GOOOS GOOOS SALES SALES YEAR 84(2) SALES SALES TAX TAX 1984(3) TOTAL COUNTY AV 100.0X 28.3X S9.14 PERCENT PER PERCENT CHANGE SPORTING SPORTING OF TOTAL CAPITA OF TOTAL 83(3)TO GOOOS GOOOS SALES SALES YEAR 84(3) SALES SALES TAX TAX 1984(4) 15.1X3,286,574 82,164,350 37,289 932,217 100.0X 26.2X S8.3S 6.1X3,403,715 85,092,875 37,639 940,964 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL S3(4)TO SALES SALES SALES YEAR 84(4) TAX TAX 1984 100.0X 27.IX $8.43 TOTAL SALES REVENUES 1984 7.5X12,568,133 311,297,550 142,260 3,521,489 ro UD ro COUNTY SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT CHANGE PERCENT PER GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 84(1) TO GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 84(2)10 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 84(3>T0 SALES SALES SALES SALES YEAR 85(1) SALES SALES SALES SALES YEAR 85(2) SALES SALES SALES SALES YEAR 85(3) TAX TAX TAX TAX TAX TAX 1985(1) 1985(2) 1985(3) ALCONA 898 O.OX S2.30 9.IX 2,118 52,950 22,450 0.7X O.IX S5.44 4,994 1.6X -16.IX 124,650 O.IX $12.82 3.8X -11.4X ALGER 187 172 4,675 O.OX SO.51 4.OX -28.4X 4,300 O.OX SO.47 3.7X -28.9X 156 3,900 O.OX $0.42 3.4X -50.0X 7,001 ALLEGAN 3,983 99,575 1.9X 37.4X 175,025 0.2X S1.22 0.2X S2.15 3.4X 42.OX 7,582 189,550 3.7X 43.5X 0.2X $2.32 ALPENA 12,303 307,575 0.5X S9.52 3.IX •12.5X 22,053 551,325 O.SX S17.06 342,900 5.5X 10.8X 13,716 0.3X $10.61 3.4X -12.7X ANTR1H 12,180 304,500 0.5X S18.80 2.7X 69.2X 7,715 192,875 0.2X S11.91 1.7X 40.9X 16,896 422,400 0.4X $26.08 3.8X 75.9X 2,841 ARENAC 71,025 O.IX S4.63 1.9X 9.4X 4,931 123,275 O.IX S8.38 3.3X -5.5X 5,524 138,100 3.7X -38.5X O.IX $9.39 BARAGA 1,445 36,125 O.IX S4.26 4.ax 7.7X 1,101 27,525 O.OX S3.24 1,023 25,575 3.7X -7.6X O.OX $3.01 3.4X 30.3X 330,550 BARRY 13,222 0.5X S7.22 2.1X 9. IX 13,106 327,650 0.3X S7.16 2.IX 16.6X 22,985 574,625 0.6X $12.55 3.7X 16.5X 18.9X 114,956 2,873,900 2.7X S23.97 BAY 61,893 1,547.325 2.5X S12.91 2.4X 4.4X 17.9X 95,788 2,394,700 3.7X 45.ZX 2.3X $19.98 40,375 O.IX S3.60 4,880 BENZIE 1,615 0.5X 4.IX 122,000 O.IX S10.89 1.6X -2.6X 11,641 296,025 0.3X $26.42 3.9X 6.9X BERRIEN 27,667 691,675 1.1X S4.04 1.9X O.OX 53,726 1,343,150 1.3X $7.64 3.7X 0.6X 52,808 1,320.200 3.7X -6.0X 1.3X $7.71 BRANCH 6,068 151,700 0.2X S3.77 1.5X -2.3X 16,240 406,000 0.4X $10.10 3.9X 8.9X 15,353 383,825 0.4X $9.55 3.7X -6.7X 13,024 325,600 O.SX S2.30 660,450 CALHOUN 1.9X •18.IX 26,418 0.6X S4.67 3.8X 6.OX 25,153 628,825 0.6X $4.44 3.6X 5.5X 3,390 84,750 CASS 775 19,375 O.OX SO.39 0.7X -32.7X O.IX SI.71 3.OX 19.8X 4,200 105,000 O.IX $2.12 3.7X 16.SX CHARLVX. 94,200 2,428 60,700 O.IX S3.05 1.3X 16.5X 3,768 5.5X O.IX S4.73 2.IX 6,918 172,950 3.8X 28.6X 0.2X $8.69 CHEBOYGAN 1,772 44,300 O.IX S2.15 0.7X 19.7X 7,276 181,900 0.2X S8.81 2.8X 19.7X 9,876 246,900 3.8X -10.3X 0.2X $11.96 CHIPPEWA 9,196 229,900 0.4X S7.92 2.5X 23.OX 11,971 299,275 O.SX $10.31 329,300 3.3X 2.9X 13,172 0.3X $11.34 3.6X 1.9X 13,699 342,475 0.5X S14.38 1.9X 14.7X 17,343 433,575 0.4X $18.20 CLARE 2.5X 22.BX 25,650 641,250 3.6X 29.7X 0.6X $26.92 2,138 53,450 CLINTON 728 18,200 O.OX SO.33 1.0X 8.5X O.IX $0.96 3.IX -16.5X 2,620 65,500 O.IX $1.17 3.7X 32.2X 4,247 CRAWFORD 2,851 71,275 O.IX S7.S3 2.4X 51.8X O.IX $11.22 9.4X 106,175 3.6X 4,323 108,075 0.1X $11.42 3.6X 5.2X 1.6X 13,525 DELTA 6,906 172,650 0.3X S4.43 2. IX 338,125 0.3X $8.68 4.IX 8.7X 11,996 299.900 3.6X 10.4X 0.3X $7.70 DICKINSON 142,900 4,624 115,600 0.2X S4.56 3.5X 9.IX 5,716 O.IX S5.64 4.3X 13.8X 4,564 114,100 3.4X 31.0X O.IX $4.50 1.0X $11.98 EATOH 21,007 525,175 ’.sx 43.9X 42,327 1,058,175 Q.BX S5.95 3.1X S.8X 50,823 1,270,575 1.2X $14.38 3.7X 19.7X 5S6.600 O.SX $24.21 EMHET 46,003 1,150,075 1.8X S50.02 3.IX 27.IX 22,264 1.5X 2.3X 53,925 1,348,125 1.3X $58.63 3.7X 23.4X 20.4X 354,032 8,850,800 8.4X $19.65 GENESSE 181,520 4,538,000 7.2X S10.07 2.OX 4.OX 15.6X 323,073 8,076,825 3.6X 25.4X 7.8X $17.93 11.2X 7,878 196,950 229,500 GLADWIN 2,093 52,325 O.IX S2.62 0.9X 0.2X $9.87 3.2X 102.7X 9,180 0.2X $11.50 3.7X 34.7X 15,086 377,150 24.6X 25.2X 4,126 103,150 GOGEBIC 0.6X S19.16 O.IX $5.24 6.7X 32.9X 1,409 35,225 2.3X -23.9X O.OX $1.79 3.7X -6.6X GR. TRAV. 42,737 1,068,425 1.7X S19.46 2.OX -4.6X 59,403 1,485,075 1.4X S27.05 2.7X •24.4X 80,004 2,000,100 1.9X $36.43 SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING GOOOS COOOS OF TOTAL CAPITA OF TOTAL 84(1) 10 GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 84(2)T0 GOODS GOODS 85(1) SALES SALES SALES SALES SALES YEAR SALES SALES SALES YEAR 85(2) SALES SALES TAX TAX TAX TAX TAX 1985(1) 1985(2) 1985(3) 1,605 40,125 O.IX SO.99 1.1X -37.2X 109,875 GRATOIT 4.39S 3.OX -7.SX 0.1X $2.72 5,465 136,625 57,300 HILLSDALE 2,292 O.IX SI.36 1.3X 14.IX 157,075 6,283 O.IX S3.73 3.6X 6,455 161,375 9.IX HOUGHTON 227,225 2.6X 26.2X 10,761 269,025 9,089 0.4X S6.00 0.3X S7.10 3.IX 314,450 0.6X 12,578 HURON 53,425 O.IX SI.47 1.0X -80.6X 158,375 2,137 6,335 0.2X S4.34 2.8X -66.OX 8,338 208,450 35,795 894,875 1.4X S3.25 2.4X -11.6X 64,821 1,620,525 1.5X S5.88 INGHAM 4.3X 7.IX 53,617 1,340,425 79,325 16.8X IONIA 3,173 O.IX SI.53 1.9X 7,723 193,075 0.2X S3.73 4.7X 37.9X 148,625 5,945 79,800 3,192 O.IX S2.81 O.SX -12.9X 190,075 IOSCO 7,603 0.2X S6.70 2.OX -4.7X 14,773 369,325 146,475 0.2X S10.74 7.6X 24.2X 50,050 IRON 5,859 2,002 O.OX S3.67 2.6X 12.IX 2,607 65,175 16,574 414,350 -2.4X 16,677 416,925 ISABELLA 0.7X S7.66 3.4X 0.4X $7.71 3.4X -1.7X 17,605 440,125 18,895 472,375 2.5X 8.4X 33,308 832,700 4.5X -14.5X 26,722 JACKSON O.BX S3.12 O.BX S5.50 668,050 KALAMAZOO 40,938 1,023,450 1.6X S4.82 1.8X -19.8X 94,615 2,365,375 2.2X $11.14 4.IX 10.7X 83,737 2,093,425 KALKASKA 1,402 35,050 1.1X 33.OX 3,209 80,225 O.IX S3.20 0.1X $7.33 2.4X 35.9X 4,935 123.375 151,427 3,785,675 6.OX S8.52 2.8X 17.IX 283,604 7,090,100 6.7X $15.95 5.2X KENT 6.3X 193,743 4,843,575 KEWEENAW 84,600 O.IX $43.10 40.6X 3,384 3.4X 2,274 56,850 O.IX $28.96 2.3X 19.9X 3,563 89,075 1,269 31,725 O.IX S4.11 6.6X 99,125 O.IX $12.86 LAKE 0.9X 3,965 2.9X 21.SX 5,005 125,125 1,690 42,250 O.IX SO.60 1.5X -27.9X 2,869 71.725 0.1X $1.02 2.6X -32.6X 4,138 103,450 LAPEER 56,200 LEELANAU 671 16,775 O.OX SI.20 0.4X 30.OX 2,248 1.4X -2.2X 156,375 0.1X S4.01 6.255 13,742 343,550 29.OX 37,103 927,575 O.SX S3.82 1.7X 0.9X $10.31 4.5X 33.IX 30,176 754,400 LENAWEE 836,325 LIV. 25,675 641,875 1.0X S6.40 3.5X 43.IX 33,453 0.8X $8.34 4.SX 651,750 6.6X 26,070 63,250 1,455 36,375 O.IX $5.46 1.7X 244.OX 2,530 O.IX $9.50 3.OX 90.4X 3,121 78,025 LUCE 351.700 MACKINAC 5,370 134,250 0.2X $13.19 1.5X 142.4X 14,068 0.3X $34.55 3.8X 337,250 7.8X 13,490 135,441 3,386,025 16.1* 283,890 7,097,250 6.7X $10.22 MACOMB 5.4X S4.87 2.OX 4.2X 16.6X 246,466 6,161,650 O.IX SI .64 108,725 MANISTEE 1,512 37,800 0.4X -21-7X 4,349 O.IX $4.72 1.2X -O.IX 14,259 356,475 MARCUETTE 22,272 556,800 0.9X S7.51 2.7X 5.2X 28,175 704,375 3.4X 734,575 0.7X $9.51 0.6X 29,383 1.IX 122,425 0.2X S4.64 1.8X 10,302 257,550 2.4X •0.2X 16,308 407,700 MASON 4,897 0.2X $9.77 16,169 404,225 0.6X $10.94 20.3X 20,735 518,375 0.5X $14.02 3.7X 22.6X 20,239 505,975 MECOSTA 2.9X 68,175 72,175 MENOMINEE 2,115 52,875 O.IX $2.02 2.7X 162.7X 2,727 0.1X $2.60 3.5X 21 .BX 2,887 0.7X $5.60 2.OX -27.3X 29,142 728,550 0.7X $9.90 3.SX -11.BX 30,051 751,275 16,475 411,875 MIDLAND COUNTY PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL B4(3)T0 SALES SALES YEAR 85(3) TAX O.IX S3.38 0.2X S3.84 0.3X $8.30 0.2X $5.72 1.3X S4.87 O.IX $2.87 0.4X $13.03 O.IX $4.78 0.4X S8.13 0.6X $4.41 2.OX $9.86 O.IX $11.27 4.7X $10.90 O.IX $45.38 O.IX $16.23 O.IX $1.48 0.2X $11.16 0.7X $8.39 0.6X $6.50 O.IX $11.72 O.SX $33.14 5.9X $8.87 O.SX $15.49 0.7X $9.91 0.4X $15.46 O.SX $13.69 O.IX $2.75 0.7X $10.21 3.BX -17.7X 3.7X 17.4X 3.6X 10.8X 3.7X 4.7X 3.6X 8.5X 3.6X 43.6X 3.8X 6.4X 3.4X 60.2X 3.6X 2.OX 3.6X -2.7X 3.7X 22.IX 3.7X 56.OX 3.6X 0.6X 3.6X 83.3X 3.7X 19.OX 3.7X 9.4X 3.9X 11.4X 3.7X 21.3X 3.5X 3.3X 3.7X 10.2X 3.7X 1.7X 3.6X 24.9X 3.9X 65.9X 3.6X 11.9X 3.8X -16.7X 3.6X -7.9X 3.7X 39.4X 3.6X -2.9X COUNTY SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING GOODS GOOOS OF TOTAL CAPITA OF TOTAL 84(1) TO GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 84(2>TO GOOOS SALES SALES SALES SALES YEAR 85(1) SALES SALES SALES SALES YEAR 85(2) SALES TAX TAX TAX TAX TAX 1985(1) 1985(2) 1985(3) MISSAUKEE 7,800 O.OX SO.78 0.7X 1,292 32,300 312 20.OX O.OX $3.23 2.9X 8.8X 1,684 MONROE 33.013 825,325 630,650 1.3X S6.13 3.6X 4.3X 25,226 0.6X $4.68 2.8X •10.5X 32,621 4,508 MONTCALM 112,700 0.2X $2.37 1.8X -72.2X 14,965 374,125 0.4X $7.87 5.9X -S5.2X 9,159 MONTH. 1,303 O.IX $4.35 32,575 1.7X 169.2X 2,581 64,525 0.1X $8.61 3.4X 27.0X 2,826 32,584 MUSKEGON 814,600 1.3X $5.17 1.6X -22.9X 123,341 3,083,525 2.9X $19.57 6.IX 46.6X 73,032 4,783 NEUAYGO 119,575 0.2X $3.42 1.6X -6.7X 11,163 279,075 0.3X $7.99 3.7X 2S.8X 10,924 OAKLAND 717,493 17,937,325 28.5X $17.73 2.7X 2B.5X 896,584 22,414,600 21.2X $22.15 3.4X 27.9X 933,599 OCEANA 2,644 66,100 O.IX $3.00 1.0X 15.7X 4,523 113,075 O.IX $5.14 1.7X -23.6X 9,943 OGEMAU 744 18,600 O.OX $1.13 1.0X ■38.OX 2,204 55,100 O.IX $3.35 2.8X 22.2% 2,930 ONTONAGON 2,688 67,200 0.1X $6.81 3.7X 2,142 53,550 78.5X O.IX $5.43 9.4X 2.9X 2,579 OSCEOLA 1,549 38,725 0.1X $2.05 4.6X 975 24,375 41.6X O.OX $1.29 2.9X 24.7X 1,122 OSCOOA 418 10,450 O.OX $1.52 1.8X 22,200 22.2X 888 O.OX $3.24 3.8X -2.SX 842 5,038 OTSEGO 125,950 0.2X $8.40 2.3X 120.2X 3,491 87,275 O.IX $5.82 1.6X -28.5X 7,940 55,537 1,388,425 OTTAUA 2.2X $8.83 2.2X 17.4X 102,802 2,570,050 2.4X $16.35 4.OX 21.4X 93,580 489 1.1X PRES. IS. 12,225 O.OX $0.86 586 14,650 10.1X O.OX $1.03 1.3X •42.6X 1,754 870 ROSCOMMON 21,750 O.OX $1.33 0.5X 3,509 87,725 2.OX -1.5X 1.9X O.IX $5.36 6,801 SAGINAU 55,912 1,397,800 2.2X $6.13 4.OX 26.3X 57,495 1,437,375 1.4X $6.30 4. IX 23.4X 48,830 ST. CLAIR 14,857 371,425 0.6X $2.68 1.7X -9.6X 32,838 820,950 0.8X $5.91 3.8X -7.3X 31,612 5,885 0.2X $2.62 1.5X -19.OX 13,908 347,700 ST.JOSEPH 147,125 O.SX $6.20 3.5X -2.8X 14,809 SANILAC 693 0.5X 4,080 102,000 17,325 O.OX $0.42 8.3X 0.1X $2.50 2.8X 11.4% 5,479 25,600 SCHCRFT. 493 12,325 O.OX $1.44 1.7X 1,024 8.4X 93.3X O.OX $2.99 3.5X 1,082 SHIAUASSE 27,674 691,850 1.1X $9.73 2.6X 19.3X 41,500 1,037,500 1.0X $14.58 3.9X 21.IX 38,188 8,948 TUSCOLA 223,700 0.4X $3.93 2.OX -20.1X 41,225 1,030,625 1.0X $18.09 9.OX 121.7X 16,025 VAN BUREN 8,616 215,400 0.3X $3.22 2.3X 459,650 18.SX 18,386 0.4X $6.88 4.9X 17.5X 13,350 WASHTENAW 44,219 1,105,475 1.BX $4.18 1.7X 1.3X 96,956 2,423,900 2.3X $9.16 3.7X 9.OX 94,200 277,905 6,947,625 UAYNE 11.OX $2.97 2.4X 5.9X 486,569 12,164,225 11.SX $5.20 4.2X 9.3X 413,891 6,879 0.3X $6.85 2.IX WEXFORD 171,975 15.9X 8,515 212,875 0.2X $8.48 2.6X 42.7X 11,720 1.0X OUT/STATE 146,483 3,662,075 S.8X 23.6X 369,156 9,228,900 8.7X 2.6X 116.3X 507,749 SPORTING GOOOS SALES 42,100 815,525 228,975 70,650 1,825,800 273,100 23,339,975 248,575 73,250 64,475 28,050 21,050 198,500 2,339,500 43,850 170,025 1,220,750 790,300 370,225 136,975 27,050 954,700 400,625 333,750 2,355,000 10,347,275 293,000 12,693,725 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 84(3)TO SALES SALES YEAR 85(3) TAX O.OX $4.21 O.SX $6.06 0.2X $4.81 O.IX $9.43 1.8X $11.59 0.3X $7.82 22.5X $23.07 0.2X $11.30 O.IX $4.46 O.IX $6.54 O.OX $1.48 O.OX $3.07 0.2X $13.24 2.3X $14.88 O.OX $3.07 0.2X $10.38 1.2X $5.35 O.BX $5.69 0.4X $6.60 0.1X $3.36 O.OX $3.15 0.9X $13.42 0.4X $7.03 0.3X $5.00 2.3X $8.90 10.0X $4.43 O.SX $11.67 12.2X 3.7X 3.6X 3.6X 3.7X 3.6X 3.6X 3.5X 3.8X 3.7X 3.5X 3.4X 3.6X 3.7X 3.6X 3.8X 3.9X 3.5X 3.6X 3.7X 3.8X 3.6X 3.6X 3.5X 3.5X 3.6X 3.6X 3.6X 3.6X 34.IX 13.IX 15.IX -49.5X •10.2X -2.4X 39.5X -19.4% 69.7X 15.4% 42.2X -13.6% 7.7% 45.2% 45.0% 20.0% -9.3% -2.4% 14.8% 28.4% 10.1% 25.1% -18.OX 8.7X 10.3X 7.8% 35.4X 165.0% COUNTY SPORTING SPORTING GOOOS GOOOS SALES SALES TAX PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING OF TOTAL CAPITA OF TOTAL84(1)TO GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 84(2)TO GOOOS SALES SALES YEAR 85(1) SALES SALES SALES SALES YEAR 85(2) SALES SALES TAX TAX TAX TAX 1 98S (1) TOTAL 2 .5 1 5 ,8 0 3 COUNTY V 2 8 ,5 4 6 1 9 8 5 (2 ) 6 2 ,8 9 5 ,0 7 5 713,651 100.0X 2.2X S 6 .4 0 19 8 5 (3 ) 1 * .1 X 4 ,2 2 0 ,9 1 1 1 0 5 ,5 2 2 ,7 7 5 4 6 ,4 0 7 PERCENT PER PERCENT CHANGE GOOOS OF TOTAL CAPITA OF TOTAL 84(3)T0 SALES SALES YEAR 85(3) TAX 1 ,1 6 0 ,1 6 7 100.0X 3 .7 * $ 1 0 .4 0 1 8 .7 X 4 ,1 5 1 ,7 5 4 1 0 3 ,7 9 3 ,8 5 0 4 3 ,9 0 4 1 ,0 9 7 ,5 9 2 1 0 0 .0 * 3 .6 * 2 6 .3 * S 9 .8 4 ro oi COUNTr ALCCHA ALGER ALLEGAM ALPENA ANTRIM ARENAC BARAGA BARRY BAY BENZIE BERRIEN BRANCH CALHOUN CASS CHARLVX. CHEBOYGAN CHIPPEWA CLARE CLINTON CRAWFORD DELTA DICKINSON EATON EFMET GENESSE GLADWIN GOGEBIC GR. TRAV. PERCENT PER PERCENT CHANGE TOTAL SPORTING SPORTING GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(4)to SALES SALES SALES SALES SALES YEAR 85(4) TAX TAX TAX 1985 1965(A) O.IX S6.41 2,499 62,475 1.9X 11.2X 130,365 9,325 8.IX -21.IX 373 O.OX S1.01 4,632 149,375 O.IX SI.83 2.9X 81.7X 5,975 206,509 0.5X $17.02 22,005 550,125 5.5X 19.4X 399,261 191,900 0.2X $11.85 1.7X 57.2X 7,676 449,971 67,850 2,714 0.1X S4.61 1.8X -41.7X 148,586 48,775 O.OX S5.75 1,951 6.5X 19.4X 30,072 27,970 699,250 0.6X $15.27 4.4X 20.OX 628,923 1.0X $9.89 47,432 1,185,800 1.8X -3.1X 2,618,981 67,450 O.IX S6.02 0.9X 22.4X 2,698 305,218 991,025 0.9X $5.79 2.9X 1,441,234 39,641 2.8X 209,875 8,395 0.2X $5.22 2.OX -2.7X 414,528 21,591 539,775 O.SX $3.81 3.IX 5.6X 689,858 73,700 O.IX $1.49 2.6X 205.2X 2,948 112,113 107,575 0.1X $5.40 2.3X 107.4X 4,303 183,449 140,300 O.IX $6.79 2.IX 88.3X 5,612 261,560 376,375 0.3X $12.97 4.IX 27.8X 15,055 365,522 33,172 829,300 4.7X 15.6X 705,464 0.7X $34.81 41,125 O.OX $0.74 1,645 2.3X 187.1X 70,011 88,050 3,522 O.IX $9.30 3.OX 34.IX 118,695 304,000 12,160 O.SX $7.81 3.7X 10.5X 332,491 207,825 0.2X $8.20 8,313 6.3X 23.2X 132,753 845,225 0.7X $9.57 2.5X 26.BX 1,367.718 33,809 1.2X $61.49 3.8X 32.IX 1,472,939 56,547 1,413,675 6.9X $17.47 3.5X 36.3X 8,927,094 314,717 7,867,925 139,900 O.IX $7.01 2.3X 112.BX 5,596 245,067 172,450 0.2X $8.76 61,335 6,898 11.2X -19.7X 3.IX -3.5X 2,169,454 67,214 1,680,350 1.5X $30.61 TOTAL SALES REVENUES 1985 262,725 22,200 613.52S 1,751,925 1,111,675 400,250 138,000 1,932,075 8,001,725 525,850 4,346,050 1,151,400 2,154,650 282,825 435,425 613,400 1,234,850 2,246,600 178,275 373,575 t,114,675 580,425 3,699,150 4,468,475 29,333,550 618,675 687,975 6,233,950 SPORTING GOODS SALES TAX 1986(1) 1,107 276 9,356 13,074 9,755 1,227 1,557 16,133 61,371 2,105 28,450 6,092 14,641 1,962 3,093 2,538 8,188 14,459 337 4,143 4,814 4,779 20,516 50,868 226,942 4,181 12,661 38,179 SPORTING GOOOS SALES 27,675 6,900 233,900 326,850 243,875 30,675 38,925 403,325 1,534,275 52,625 711,250 152,300 366,025 49,050 77,325 63,450 204,700 361,475 8,425 103,575 120,350 119,475 512,900 1,271,700 5,673,550 104,525 316,525 954,475 PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 6 5 ( 1 ) to SALES SALES YEAR 8 6 (1 ) TAX O.OX $2.84 O.OX $0.75 0.4X $2.87 0.5X $10.11 0.4X $15.06 O.OX $2.09 O.IX $4.59 0.6X $8.81 2.4X $12.80 0.1X $4.70 1.1X $4.15 0.2X $3.79 0.6X $2.59 O.IX $0.99 O.IX $3.88 O.IX $3.07 0.3X $7.05 0.6X $15.17 O.OX $0.15 0.2X $10.94 0.2X $3.09 0.2X $4.71 O.BX $5.81 2.OX $55.31 8.9X $12.60 0.2X $5.24 0.5X $16.08 1.SX $17.39 9.0X 3.2X 19.IX 15.8X 21.3X 9.1X 24.9X 17.8X 19.3X B.9X 14.8X 11.5X 13.7X 13.OX 11.5X 8.4X 18.6X 13.8X 18.3X 23.OX 11.4X 20.8X 12.2% 2S.4X 15.6X 15.IX 51.7X 13.4X SPORTING SPORTING GOOOS GOOOS SALES SALES TAX 1986(2) 23.3X 2,307 57,675 47.6X 52,725 2,109 134.9X 15,808 395,200 6.3X 23,984 599,600 -19.9X 10,061 2S1.525 -56.BX 90,575 3,623 7.8X 1,279 31,975 22.OX 15,418 385,450 -O.SX 119,407 2,985,175 30.3X 5,732 143,300 2.8% 54,801 1,370,025 0.4X 20,210 505,250 12.4X 32.753 818,825 153.2% 5,112 127,800 27.4X 4,602 115,050 43.2X 9,831 245,775 -11.0X 11,049 276,225 5.5X 19,594 489,850 -53.7% 439 10,975 45.3% 3,998 99,950 -30.3X 12,338 308,450 3.4X 5,567 139,175 -2.3X 56,760 1,419,000 639,400 10.6X 25,576 25.OX 443,207 11,080,175 99.BX 7,040 176,000 -16.IX 1,379 34,475 -10.7X 72,351 1,808,775 PERCENT OF TOTAL SALES TAX O.OX O.OX 0.3X 0.5X 0.2X O.IX O.OX 0.3X 2.5X O.IX 1.1X 0.4X 0.7X O.IX O.IX 0.2% 0.2X 0.4X O.OX 0.1X 0.3X O.IX 1.2X O.SX 9.2X O.IX O.OX 1.SX COUNTY SPORTING SPORTING PERCENT CHANGE TOTAL TOTAL SPORTING SPORTING PERCENT GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 8 3 ( 4 ) t o SALES SALES GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 8 5 ( 1 ) to GOOOS GOOOS OF TOTAL SALES SALES SALES REVENUES SALES SALES SALES SALES SALES TAX PER SALES PERCENT 8 5 (4 ) YEAR TAX TAX 1985 1985 1 98 5 (4 ) TAX PER SALES PERCENT YEAR CHANGE SPORTING SPORTING 8 6 (1 ) TAX SALES TAX 1 9 8 6 (1 ) PERCENT TAX 1 9 8 6 (2 ) GRATOIT 2 .9 0 9 7 4 ,7 2 5 0.1X * 1 .8 5 2 . IX -7 .9 X 145,614 3 6 1 ,3 5 0 1 ,5 9 8 3 9 ,9 5 0 0 .1 X $ 0 .9 9 10.3X •0 .4 X 4 ,5 3 1 113,275 0.1X HILLSDALE 4 .6 0 6 115,150 0.1X $ 2 .7 4 2 .6X 2 4 . IX 174,556 4 9 0 ,9 0 0 2 ,5 4 6 6 3 ,6 5 0 0 .1X $ 1 .5 1 13.4X 1 1 .IX 5 ,6 9 7 142,425 0.1X HOUGHTON 1 6 .0 4 2 4 0 1 ,0 5 0 0.4X $ 1 0 .5 9 4.6X 9.8X 3 5 0 ,3 4 2 1 ,2 1 1 ,7 5 0 8 ,5 1 3 212,8 2 5 0.3X $ 5 .6 2 16.3X -6 .3 X 13,8 9 2 3 4 7 ,3 0 0 0.3X S .672 141,800 0.1X 2.5X 32.9X 222,5 9 4 5 6 2 ,0 5 0 2 ,4 8 2 6 2 ,0 5 0 0.1X $ 1 .7 0 10.3X 1 6 .IX 7 ,4 3 9 185,9 7 5 0 .2X 5 0 ,6 6 6 1 ,2 6 6 ,6 5 0 1.1X $ 4 .6 0 3.4X 23.7X 1 ,4 9 1 ,7 0 7 5 ,1 2 2 ,4 7 5 4 2 ,2 1 6 1 ,0 5 5 ,4 0 0 1.7X $ 3 .8 3 18.2X 17.9X 7 4 ,0 1 5 1 ,8 5 0 ,3 7 5 1.5X 4 ,5 5 7 113,925 0.1X $ 2 .2 0 2.BX 27.3X 1 64,078 5 3 4 ,9 5 0 3 ,0 5 2 7 6 ,3 0 0 0.1X $ 1 .4 7 16.5X -3 .8 X 6 ,7 5 5 168,875 0.1X IOSCO 5 ,6 8 7 142,175 0.1X $ 5 .0 2 1.5X -5 .4 X 3 8 5 ,8 0 7 781,3 7 5 3 ,1 2 2 7 8 ,0 5 0 0.1X $ 2 .7 5 10.8X -2 .2 X 7 ,2 9 9 182,475 0.2X IRON 4 ,0 7 3 101,825 0.1X $ 7 .4 7 5.3X 2 3 .7X 7 7 ,1 0 9 3 6 3 ,5 2 5 6 ,8 8 9 172,225 0.3X $ 1 2 .6 3 34.7X 17.6X 3 ,8 6 8 9 6 ,7 0 0 0.1X HURON INGHAM IONIA $ 3 .8 9 ISABELLA 18,6 6 6 4 6 6 ,6 5 0 0.4X $ 8 .6 2 3.8X 5.4X 4 9 2 ,0 4 2 1 ,7 3 8 ,0 5 0 1 1 ,3 6 0 2 8 4 ,0 0 0 0.4X $ 5 .2 5 17.9X - 3 1 . 5X 1 6 ,3 9 6 4 0 9 ,9 0 0 0.3X JACKSON 2 6 ,4 4 8 6 6 1 ,2 0 0 0.6X $ 4 .3 6 3.5X 9.2 X 746,701 2 ,6 3 4 ,3 2 5 14,431 360 ,7 7 5 0.6X $ 2 .3 8 13.3X -2 3 .6 X 3 4 ,2 0 4 8 5 5 ,1 0 0 0.7X KALAMA200 6 1 ,3 0 9 1 ,5 3 2 ,7 2 5 1.3X 2.4X KALKASKA 5 ,0 0 0 125,000 1 7 0 ,832 4 ,2 7 0 ,8 0 0 KENT $ 7 .2 2 2.7X 3 3 .OX 2 ,2 9 0 ,2 8 7 7 ,0 1 4 ,9 7 5 5 2 ,8 2 4 1 ,3 2 0 ,6 0 0 2 . IX $ 6 .2 2 1 5 .IX 29.0X 114,371 2 ,8 5 9 ,2 7 5 0.1X $11.41 3.8X 46.3X 132,986 3 6 3 ,6 5 0 1 ,5 8 0 3 9 ,5 0 0 0.1X $ 3 .6 1 9.9X 12.7X 3 ,9 1 7 9 7 ,9 2 5 0.1X 3.7X 3 . IX 1 1 .4X 5 ,4 4 9 ,4 3 8 1 9 ,9 9 0 ,1 5 0 160,2 6 2 4 ,0 0 6 .5 5 0 6.3 X $ 9 .0 1 17.6X 5.8X 3 2 6 ,5 5 6 8 ,1 6 3 ,9 0 0 6.8X $ 9 .6 1 KEUEENAU 4 ,1 1 1 102,775 0.1X $ 5 2 .3 6 4.2X 7.4X 9 8 ,8 4 4 3 3 3 ,3 0 0 4 ,6 9 6 117,400 0.2X $ 5 9 .8 1 48.2X 38.8X 2 ,5 5 2 6 3 ,8 0 0 0.1X LAKE 5 ,1 3 7 128,425 0.1X $1 6.65 3.8X 28.6X 135 ,4 9 6 3 8 4 ,4 0 0 1 ,8 9 2 4 7 ,3 0 0 0.1X $ 6 .1 3 1 1 . IX 4 9 . IX 3 ,7 7 3 9 4 .3 2 5 0.1X LAPEER 4 ,1 1 0 1 0 2,750 0.1X $ 1 .4 7 3.7 X 45.7X 112 ,1 1 9 3 2 0 ,1 7 5 2 ,2 0 8 5 5 ,2 0 0 0.1X $ 0 .7 9 12.8X 30.7X 3 ,9 1 1 9 7 ,7 7 5 0.1X LEELANAU 1 ,4 1 0 3 5 ,2 5 0 O.OX $ 2 .5 2 0.9X 27.5X 160,704 2 6 4 ,6 0 0 474 11 ,850 O.OX $ 0 .8 5 3.8 X -2 9 .4 X 2 ,8 9 0 7 2 ,2 5 0 0.1X LENAUEE 2 0 ,2 5 7 5 0 6 ,425 0.4X $ 5 .6 3 2.5X 1 7 .IX 8 2 5 ,5 0 2 2 ,5 3 1 ,9 5 0 1 6 .3 3 7 4 0 8 ,4 2 5 0.6X $ 4 .5 4 12.8X 18.9X 4 9 ,3 1 1 1 ,2 3 2 ,7 7 5 1.0X LIV. 3 0 ,9 6 0 7 7 4 ,0 0 0 0.7X $ 7 .7 2 4.2X 12.4X 7 4 1 ,8 3 8 2 ,9 0 3 ,9 5 0 2 1 ,2 0 6 5 3 0 ,1 5 0 0.6X $ 5 .2 9 17.3X -1 7 .4 X 3 9 ,5 7 2 9 8 9 ,3 0 0 0.8X 0.1X , LUCE 2 .9 8 8 7 4 ,7 0 0 0.1X $ 1 1 .2 2 3.5X 2 6 .OX 8 4 ,9 9 8 2 5 2 ,3 5 0 1 ,4 0 6 3 5 ,1 5 0 MACKINAC 9 ,4 5 0 23 6 ,2 5 0 0.2X $23.21 2.6X 126.8X 3 6 6 ,1 3 8 1 ,0 5 9 ,4 5 0 5 ,3 4 0 133,5 0 0 $ 5 .2 8 1 2 .7X -3 .4 X 2 .6 9 0 6 7 ,2 5 0 0.1X 0.2X $ 1 3 .1 2 10.7X -0 .6 X 17.531 4 3 8 ,2 7 5 0.4X 1B2.393 4 ,5 5 9 ,8 2 5 4 . OX $ 6 .5 6 2.7X 2 1 .6X 6 ,7 6 3 ,3 7 4 2 1 ,2 0 4 ,7 5 0 157,791 3 ,9 4 4 ,7 7 5 6.2X $ 5 .6 8 17. IX 16.5X 3 2 3 ,8 2 8 8 ,0 9 5 ,7 0 0 6.7X MANISTEE 5 ,0 6 2 126,550 0.1X $ 5 .5 0 1.4X 4.9 X 3 6 7 ,3 9 8 6 2 9 ,5 5 0 1,8 0 4 4 5 ,1 0 0 0.1X $ 1 .9 6 8 . IX 19.3X 5 ,5 3 1 138,275 0.1X MARQUETTE 3 6 .1 9 7 9 0 4 ,925 0.8X $12.21 4.4 X 10.5X 8 2 1 ,2 1 9 2 ,9 0 0 ,6 7 5 2 4 ,2 0 0 6 0 5 ,0 0 0 1.0X $ 8 .1 6 1 9 .OX 8.7X 3 2 ,0 7 1 8 0 1 ,7 7 5 0.7X MASON 11,1 4 0 27 8 ,5 0 0 0.2X $ 1 0 .5 6 2.6X 10.9X 4 3 4 ,0 3 9 1 ,0 6 6 ,1 7 5 5 ,4 8 0 137,000 0.2X $ 5 .2 0 11.8X 11.9X 1 1 ,580 2 8 9 ,5 0 0 0.2X MECOSTA 2 3 ,2 8 3 5 8 2 ,0 7 5 0.5X $ 1 5 .7 5 4 . IX 3 9 .OX 566,1 6 2 2 ,0 1 0 ,6 5 0 1 6 ,9 4 7 4 2 3 ,6 7 5 0.7X $ 1 1 .4 6 19.9X 4 .8 X 2 1 ,3 9 5 5 3 4 ,8 7 5 0.4X 1 ,3 4 9 3 3 ,7 2 5 O.OX $ 1 .2 9 1.7X 1 6 8 .2X 7 8 ,3 6 6 2 2 6 ,9 5 0 1,0 6 5 26,6 2 5 O.OX $ 1 .0 2 1 7 .OX -49.6X 2 ,0 2 8 5 0 ,7 0 0 O.OX 2 6 ,4 2 5 66 0 ,6 2 5 0.6X $ 8 .9 8 3.2 X -9 .2 X 8 2 3 ,3 1 7 2 ,5 5 2 ,3 2 5 2 2 ,9 0 6 5 7 2 ,6 5 0 0.9X $ 7 .7 8 19.6X 39.0X 3 3 ,0 0 0 8 2 5 ,0 0 0 0.7X MACOMB MENOMINEE MIOLANO SPORTING SPORTING PERCENT PER PERCENT CHANGE GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 83(4)to SALES SALES SALES SALES YEAR 85(4) TAX TAX 1985(A) MISSAUKEE 1,293 32,325 O.OX S3.23 2.9X 71.3X MONROE 43,417 1,085,425 0.9X S8.06 4.7X 13.6X MONTCALM 7,309 182,725 0.2X S3.84 2.9X -3.7X MONTH. 2,192 54,800 O.OX $7.31 2.9X -46.5X 38,869 MUSKEGON 966,725 0.8X $6.13 1.9X 16.3X NEUAYGO 11,357 283,925 0.2X $8.13 3.SX 15.3X OAKLAND 1,370,008 34,250,200 29.9X $33.85 5.2X 26.2X OCEANA 4,650 116,250 0.1X $5.28 1.8X 87.7X OGEMAW 2,004 50,100 O.OX $3.05 2.6X 13.1X ONTONAGON 3,718 92,950 0.1X $9.43 5.5X 5.1X OSCEOLA 2,773 69,325 0.1X $3.66 8.3X 22.5X 1,002 25,050 OSCODA O.OX $3.65 4.3X -69.3X OTSEGO 8,670 0.2X $14.46 216,750 4.OX 20.4X OTTAWA 70,900 1,772,500 1.5X $11.28 2.8X 44.6X 972 24,300 PRES. IS. O.OX $1.70 2.IX 85.U 7.2X 1,732 43,300 O.OX $2.64 ROSCOMMON 1.0X SAGINAW 75,196 1,879,900 1.6X $8.24 5.3X 11.4X ST. CLAIR 29,364 734.100 0.6X $5.29 3.4X 13.9X ST.JOSEPH 8,855 221,375 0.2X $3.95 2.2X -12.3X 2,870 71,750 SANILAC 0.1X $1.76 2.OX 40.5X 1,092 27,300 SCHCRFT. O.OX $3.18 3.7X 68.3X 0.9X $14.87 SHIAWASSE 42,314 1,057,850 4.OX 61.5X TUSCOLA 7,328 183,200 0.2X $3.22 1.6X -40.IX VAN BUREN 16,486 412,150 0.4X $6.17 4.4X 96.OX 2.2X $9.48 WASHTENAW 100,407 2,510,175 3.9X 28.SX WAYNE 408,141 10,203,525 8.9X $4.36 3.5X 8.8X 16,722 418,050 0.4X $16.65 WEXFORD 5.IX 85.9X OUT/STATE 792,204 19,805,100 17.3X 5.7X 183.2X COUNTY TOTAL SALES TAX 1985 TOTAL SALES REVENUES 1985 44,997 114,525 917,181 3,356,925 255,757 898,525 76,726 222,550 2,020,394 6,690,650 300,403 955,675 26,324,060 97,942,100 260,392 544,000 78,202 197,050 73,023 278,175 33,347 160,475 23,358 78,750 215,699 628,475 2,568,739 8,070,475 45,897 95,025 176,136 322,800 1,409,353 5,935,825 867,359 2,716,775 398,873 1,086,425 32B.050 144,618 29,659 92,275 1,066,188 3,741,900 458,126 1,838,150 377,238 1,420,950 2,596,582 8,394,550 11,519,890 39,662,650 325,116 1,095,900 14,001,568 45,389,800 SPORTING GOOOS SALES TAX 1986(1) 560 33,828 5,548 384 39,222 4,963 756,904 2,878 1,001 2,307 1,758 21 5,299 53,217 437 1,326 44,206 16,761 6,289 1,034 604 28,402 8,826 8,184 58,647 293,318 8,345 469,071 SPORTING GOOOS SALES 14,000 845,700 138,700 9,600 980,550 124,075 18,922,600 71,950 25,025 57,675 43,950 525 132,475 1,330,425 10,925 33,150 1,105,150 419,025 157,225 25,850 15,100 710,050 220,650 204,600 1,471,175 7,332,950 208,625 11,726,775 PERCENT PER PERCENT CHANGE SPORTING SPORTING OF TOTAL CAPITA OF TOTAL 65(1)tO GOOOS GOOOS SALES YEAR SALES 86(1) SALES SALES TAX TAX 1986(2) O.OX $1.40 10.3X 79.5X 1,322 33,050 1.3X $6.28 24.6X 2.5X 25,231 630,775 0.2X $2.92 15.4X 23.IX 13,865 346,625 O.OX $1.28 5.9X -70.5X 1,148 28,700 1.5X $6.22 18.7X 20.4X 74,139 1,853,475 0.2X $3.55 3.ex 13.8X 9,774 244,350 29.8X $18.70 17.IX 5.5X1,003,677 25,091,925 0.1X $3.27 15.3X 8.9X 4,761 119,025 O.OX $1.52 9.8X 34.5X 2,584 64,600 0.1X $5.85 20.4X -14.2X 2,461 61,525 0.1X $2.32 22.5X 13.5X 747 18,675 O.OX $0.08 0.7X -95.OX 11,275 451 0.2X $8.84 5.2X 20.6X 3,977 99,425 2.IX $8.46 17.IX -4.2X 109,819 2,745,475 O.OX $0.77 7.9X -10.6X 1,488 37,200 0.1X $2.02 7.8X 52.4X 4,339 108,475 1.7X $4.85 17.1X -20.9X 49,720 1,243,000 0.7X $3.02 13.2X 12.8X 39,987 999,675 0.2X $2.80 14.7X 6.9X 15,661 391,525 O.OX $0.63 8.0X 49.2X 4,658 116,450 O.OX $1.76 10.8X 22.5X 1,835 45,875 1.1X $9.98 17.4X 2.6X 45,456 1,136,400 0.3X $3.87 14.6X -1.4X 24,374 609,350 0.3X $3.06 13.2X -5.0X 26,620 665,500 2.3X $5.56 14.7X 33.IX 105,980 2,649,500 11.5X $3.14 1B.6X 5.5X 491,397 12,284,925 0.3X $8.31 16.5X 21.3X 12,027 300,675 18.5X 19.4X 220.2X 588,758 14,718,950 PERCENT OF TOTAL SALES TAX O.OX 0.5X 0.3X O.OX 1.5X 0.2X 20.8X 0.1X 0.1X 0.1X O.OX O.OX o.i'x 2.3X O.OX 0.1X 1.0X 0.8X 0.3X 0.1X O.OX 0.9X 0.5X 0.6X 2.2X 10.2X 0.2X 12.2X COUNTY SPORTING SPORTING GOOOS GOODS SALES SALES TAX 1985(A) TOTAL ,,574,895 114,372,375 COUNTY AS,575 1,139,365 PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(A)to SALES SALES SALES TEAR 85(A) TAX TAX 1985 100.0X A.OX $10.21 TOTAL SALES REVENUES 1985 SPORTING SPORTING GOOOS GOOOS SALES SALES TAX 1986(1) 3$.$X115,10S,A59 386,584,075 2,541,900 63,547.500 1,218,119 A,110,774 30,625 765,633 PERCENT PER PERCENT CHANGE SPORTING SPORTING OF TOTAL CAPITA OF TOTAL 85(1)to GOOOS GOOOS SALES SALES TEAR 86(1) SALES SALES TAX TAX 1986(2) 100.0X 1S.0X S6.86 1.0X4,823,194 120,579,850 51,017 PERCENT OF TOTAL SALES TAX 100.0X 1,275,433 300 COUNTY ALCONA ALGER ALLEGAN ALPENA ANTRIM ARENAC BARAGA BARRY BAY BENZIE BERRIEN BRANCH CALHOUN CASS CHARLVX. CHEBOYGAN CHIPPEUA CLARE CLINTON CRAWFORD DELTA DICKINSON EATON EMMET GENESSE GLADWIN GOGEBIC GR. TRAV. PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE TOTAL CAPITA OF TOTAL 8S(2)to GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 8S(3)to GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 8S(6)tO SALES SALES YEAR 86(2) SALES SALES SALES SALES YEAR 86(3) SALES SALES SALES SALES YEAR 86(6) TAX TAX TAX TAX TAX 1986 1986(3) 1986(6) *5.92 18.8X 8.9* 5.565 138,625 65.2* 11.0* 3,319 82,975 0.1* *16.23 0.1* *8.52 27.0* 32.8* 12,278 *5.72 26.7* 1126.2X 2,885 72,125 0.1* *7.82 33.8* 1769.6* 3,273 81,825 0.1* *8.87 38.3* 777.5* 8,563 *6.85 32.21 125.8* 16,239 605,975 0.3* *6.98 33.1* 116.2* 7,692 192,300 0.2* *2.36 15.7* 28.7* 69,095 *18.55 28.9* 8.8* 20,202 50S.0S0 0.6* *15.63 26.6* 67.3* 25,675 661,875 0.5* *19.86 31.0* 16.7* 82,935 22.0* 30.6* *15.53 19,350 683,750 0.6X *29.87 62.3* 16.5* 6,599 166,975 0.1* *10.19 16.6* -16.0* 65.765 *6.16 27.0* -26.5* 0.6* 5,566 138,650 0.1* *9.63 61.3* 3,031 75,775 0.1X *5.15 22.6* 11.7* 13,627 *3.77 20.5X 16.2* 29,600 55,775 1.186 O.OX (3.69 18.9* 15.7* 2,231 O.OX *6.57 35.7* 16.6* 6,251 17.0* 17.6X *8.62 26,292 657,300 0.6* *16.36 29.0* 16.6* 32,962 823,550 0.7X *17.99 36.3* 17.8* 90,785 *26.90 37.5* 3.9* 75,162 1,879,050 1.6* *15.67 23.6* -21.5X 62,519 1,562,975 1.3* *13.06 19.6* 31.8* 318,659 *12.79 26.3* 17.5* 295,350 50.2* -0.2* 97.325 11,816 0.3X *26.36 3,893 0.1* *8.69 16.5* 66.3* 23,566 *8.00 28.6* 2.0* 59,259 1,681,675 1.3* *8.65 30.9* 12.2* 69,312 1,232,800 1.0* *7.20 25.7* 26.6* 191,822 *12.57 38.3* 26.6* 16,865 621,125 0.6* (10.68 31.9* 9.7* 9,667 261,675 0.2* *6.01 18.3* 15.2* 52,816 *5.78 30.7* 26.0* 861,950 661,925 33,678 0.7* *5.95 31.5* 33.9* 25,677 26.1* 18.9* 106,769 O.SX *6.53 *2.58 33.8* 50.8* 0.1* *2.62 31.7* 16.3* 6,799 119,975 3,259 81,675 0.1* *1.65 21.5* 10.5* 15,132 *5.78 0.2* *13.39 17.2* 22.1* 10,666 266,650 39.8* 56.2* 8,655 211,375 0.2* *10.62 31.5* 96.5* 26,816 *11.90 32.7* 35.1* 292,200 38.9* 18.3* • 5,988 11,688 0.2* *16.15 169,700 0.1* *7.25 19.9* 6.7* 30,065 *9.52 25.1* -7.7* 11,711 292,775 0.2* *10.09 26.6* -11.1* 13,077 326,925 0.3X *11.26 29.7* -13.1* 66,025 *20.56 18.6* 13.0* 27,927 698,175 0.6X *29.31 26.6* 8.9* 63,109 1,077,725 0.9* (65.26 61.0* 30.0* 105,089 *0.20 23.8* -79.5* 672 16,800 0.0* *0.30 36.5* -76.6* 396 9,850 21.6* -76.0* O.OX *0.18 1,862 22.2* -5.9* *10.56 5,061 126,025 0.1* *13.31 28.0* 16.6* 6,806 120,100 0.1* *12.69 26.7* 36.6* 17,986 29.3* -8.8* *7.92 12,031 300,775 0.3X *7.72 28.6* 0.3* 12,910 322,750 0.3* *8.29 30.7* 6.2* 62,093 *5.69 26.2* -2.6* 5,220 130,500 0.1* (5.15 22.7* 16.6* 7,396 186,900 32.2* -11.0* 0.2* *7.30 22,962 33.7* 36.1* *16.06 53,881 1,367,025 1.1X *15.25 32.0* 6.0* 37,176 929,350 0.8* *10.52 22.1* 10.0* 168,331 12.8* 16.9* 66,238 1,605,950 1.6* *69.85 32.1* 19.1* 59,555 1,688,875 *27.81 1.2* *66.76 29.7* 5.3* 200,237 30.6* 25.2* 636,385 10,859,625 9.2* *26.11 *26.60 29.8* 36.5* 351,051 8,776,275 7.2* *19.68 26.1* 11.5* 1,655,585 25.6* -10.6* 8,369 208,725 30.1* -9.1* 8,155 203.875 *8.82 0.2* *10.66 0.2* *10.22 29.6* 65.7* 27,725 *1.75 5.6* -66.6* 57,750 9.6* 63.9* 203,025 2,310 0.0* *2.93 8,121 0.2* *10.31 33.2* 17.7* 26,671 25.6* 21.8* *32.95 98,700 2,667,500 2.IX *66.95 36.6* 23.6* 75,920 1,898,000 1.5* *36.57 26.6* 13.0* 285,150 TOTAL SALES REVENUES 1986 306,950 213.575 1,227,375 2,073,375 1,166,125 335,675 156,275 2.269,625 7,961,675 588,600 6,795.550 1.320,350 2,668,725 378,300 670,600 751.125 1,100,625 2,627,225 66,050 669,650 1,052,325 576,050 6,208,275 5,005,925 36,389,625 693,125 611,775 7,128,750 COUNTY GRATOIT HILLSDALE HOUGHTON HURON INGHAM IONIA IOSCO IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEENAU LAKE LAPEER LEELANAU LENAWEE LIV. LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE MIDLAND PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE SPORTING SPORTING PERCENT PER PERCENT CHANGE TOTAL CAPITA OF TOTAL BS(2)to GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 85(3)to GOOOS GOOOS OF TOTAL CAPITA OF TOTAL 85(4)to SALES SALES YEAR 86(2) SALES SALES SALES SALES YEAR 86(3) SALES SALES SALES SALES YEAR 86(4) TAX TAX TAX TAX TAX 1986 1986(3) 1986(4) S2.80 83,000 29.3X 3.IX 5,998 149,950 0.1X $3.71 38.8X 9.8X 3,320 0.1X S2.05 21.5X 11.IX 15,447 S3.39 30. IX -9.3X 5,953 148,825 0.1X $3.54 31.4X -7.8X 4,761 119,025 0.1X $2.83 3.4X 25.IX 18,957 S9.17 26.SX 29.IX 13,463 336,575 0.3X $8.89 25.7X 7.0X 16,497 412,425 0.3X $10.89 31.5X 2.8X 52,365 S3.10 31.OX 17.4X 9,066 226,650 0.2X $6.22 37.8X 8.7X 5,016 125,400 0.1X $3.44 20.9X -11.6X 24,003 1 6 .7 2 31.9X 14.2X 62,218 1,555,450 1.3X $5.65 26.8X 16.OX 53,698 1,342,450 1.1X $4.87 23.IX 6.OX 232,147 S3.26 36.5X -12.SX 4,858 121,450 0.1X $2.34 26.3X -18.3X 3,828 95,700 0.1X $1.85 20.7X -16.OX 18,493 2S.3X -4.OX 321,575 44.6X -12.9X 5,542 138,550 S6.ll 12,863 0.3X $11.34 0.1X $4.89 19.2X -2.5X 28,826 $7.09 19.SX 93.2X 3,749 93,725 0.1X $6.87 18.9X 43.8X 5,367 134,175 0.1X $9.84 27.OX 31.8X 19,873 S7.SB 16,440 0.3X $7.60 477,575 2S.9X -1.7X 411,000 26.OX -6.6X 19,103 0.4X $8.83 30.2X 2.3X 63,299 $3.64 2.7X 31.5X 27,826 695,650 0.6X $4.59 25.7X 4.IX 31,979 799,475 0.7X $5.28 29.SX 20.9X 108,440 $13.46 2.2X $12.12 32.7X 20.9X 102,919 2,572,975 29.5X 22.9X 79,116 1,977,900 1.6X $9.31 22.7X 29.OX 349,230 $8.94 5,301 33.IX 130,450 24.SX 22.IX 132,525 0.1X $12.10 7.4X 5,218 0.1X $11.91 4.4X 32.6X 16,016 $18.37 2S.9X 21.9X 188,856 4,721,400 3S.8X 1S.1X 236,222 5,905,550 5.OX $13.29 3.SX $10.62 20.7X 10.6X 911,896 $32.30 2S.6X -29.9X 26.2X 12.2X 2,498 62,450 0.1X $31.81 0 0 O.OX $0.00 O.OX •100.0X 9,746 $12.23 22.ZX -4.8X 129,300 30.5X 153,300 5,172 0.1X $16.77 3.3X 6,132 0.1X $19.88 36.1X 19.4X 16,969 $1.40 22.6X 36.3X 5,654 141,350 0.1X $2.02 32.7X 36.6X 5,539 138,475 0.1X $1.98 32.OX 34.8X 17,312 $3.16 58.3X 16.4X 46,200 23.IX 28.6X 7,279 181,975 0.2X $12.99 1,848 O.OX $3.30 14.8X 31.IX 12,491 $13.71 2B.9X 22.IX 25,148 38.6X 32.9X 36,846 921,150 O.BX $10.24 628,700 0.5X $6.99 19.7X 24.IX 127,642 $9.86 32.2X 18.3X 815,225 737,700 32,609 0.7X $8.13 26.5X 25.IX 29,508 0.6X $7.36 24.OX -4.7X 122,895 6.3X $10.10 24.4X 3,464 86,600 0.1X $13.00 31.4X 11.0X 3,483 87,075 0.1X $13.08 31.5X 16.6X 11,043 $43.06 35.3X 24.6X 16,140 403,500 0.3X $39.64 267,825 0.2X $26.31 32.5X 19.6X 10,713 21.5X 13.4X 49,724 $11.66 26.9X 35.OX 14.IX 248,579 6,214,475 5.3X $8.95 0.9X 194,095 4,852,375 4.OX $6.99 6.4X 924,293 21.OX $6.01 42.5X -33.SX 136,525 24.9X 27.2X 9,443 236,075 0.2X $10.26 5,461 0.1X $5.93 7.9X 24.6X 22,239 $10.82 25.2X 13.8X 32,114 802,850 0.7X $10.83 25.3X 9.3X 38,663 966,575 0.8X $13.04 30.4X 6.BX 127,048 $10.98 8.4X 11,608 290,200 0.2X $11.01 23.OX 12.4X 17,681 442,025 0.4X $16.77 38.IX 25.OX 4.2X 46,349 3.2X $14.47 25.IX 21,031 525,775 0.4X $14.23 24.7X 3.9X 25,815 645,375 0.5X $17.46 30.3X 10.9X 85,188 $1.94 32.4X -25.6X 2,132 53,300 O.OX $2.03 34.OX -26.2X 1,043 26,075 O.OX $1.00 16.6X -22.7X 6,268 0.6X $10.15 25.6X -0.6X 30,995 28.3X 13.2X 29,877 746,925 774,875 0.6X $10.53 26.5X 17.3X 116,778 $11.21 TOTAL SALES REVENUES 1986 386,175 473,925 1,309,125 600,075 5,803,675 462,325 720,650 496,825 1,582,475 2,711,000 8,730,750 400,400 22,797,400 243,650 424,225 432,800 312,275 3,191,050 3,072,375 276,075 1,243,100 23,107,32S 555,975 3,176,200 1,158,725 2,129,700 156,700 2,919,450 COUNTY PER PERCENT CHANGE SPORTING CAPITA OF TOTAL 6 S ( 2 ) to GOOOS SALES YEAR 8 6 (2 ) SALES SPORTING PERCENT GOOOS OF TOTAL CAPITA OF TOTAL 8 5 ( 3 ) to GOOOS GOOOS SALES SALES SALES TAX PER SALES PERCENT YEAR CHANGE SPORTING SPORTING 8 6 (3 ) TAX SALES TAX 1 986(3) CHANGE TOTAL TOTAL OF TOTAL CAPITA OF TOTAL 8 5 ( 4 ) to SALES PERCENT PER SALES SALES TAX REVENUES 1986 1986 SALES PERCENT YEAR 8 6 (4 ) TAX 1 9 8 6 (4 ) MISSAUKEE S 3 .3 0 24.4X 2.3X 2 ,131 5 3 ,2 7 5 O.OX $ 5 .3 2 39.3X 26.5X 1 ,4 1 5 3 5 ,3 7 5 O.OX $ 3 .5 3 2 6 . IX 9.4X 5 ,4 2 8 135 ,7 0 0 MONROE $ 4 .6 8 1B.4X O.OX 3 4 ,5 9 3 8 6 4 ,8 2 5 0 .7 X $ 6 .4 2 2 5 .2X 6 . OX 4 3 ,6 7 1 1 ,0 9 1 ,7 7 5 0 .9 X S 8.11 3 1 .8X 0.6X 137 ,3 2 3 3 ,4 3 3 ,0 7 5 MONTCALM $ 7 .2 9 38.4X -7 .4 X 8 ,5 8 0 2 1 4 ,5 0 0 0 .2 X $ 4 .5 1 2 3 .a x -6 .3 X 8 ,0 9 0 2 0 2 ,2 5 0 0.2 X $ 4 .2 5 22.4X 10.7X 3 6 ,0 8 3 9 0 2 ,0 7 5 MONTH. S 3 .8 3 17.6X -5 5 .5 X 2 ,1 6 8 5 4 ,2 0 0 O.OX S 7 .2 3 33.2X -2 3 .3 X 2 ,8 3 5 7 0 ,875 0.1 X $ 9 .4 6 43.4X 29.3X 6 ,5 3 5 163,375 $ 1 1 .7 6 35.4X -3 9 .9 X 6 4 ,5 6 8 1 ,6 1 4 ,2 0 0 1.4X $ 1 0 .2 4 30.8X -1 1 .6 X 31 ,391 7 8 4 ,7 7 5 0 .6 X $ 4 .9 8 1 5 .OX - 1 8 .BX 2 0 9 ,3 2 0 5 ,2 3 3 ,0 0 0 NEUAYGO S 7 .0 0 27.2X -1 2 .4 X 10,4 9 8 2 6 2 ,4 5 0 0 .2 X $ 7 .5 2 29.2X -3 .9 X 1 0 ,7 1 0 2 6 7 ,7 5 0 0 .2 X $ 7 .6 7 29.8X -5 .7 X 3 5 ,9 4 5 8 9 8 ,6 2 5 OAKLAND $ 2 4 .8 0 22.7X 11.9X 1 ,1 1 8 ,1 1 7 2 7 ,9 5 2 ,9 2 5 23 .8 X $ 2 7 .6 3 25.3X 19 .8 X 1 ,5 3 6 ,7 4 5 3 8 ,4 1 8 ,6 2 5 3 1 .3X $ 3 7 .9 7 34.8X OCEANA SS.41 2 5 .3X 5.3X 7 ,1 6 3 179 ,0 7 5 0 .2 X $ 8 .1 4 3 8 . IX - 2 8 . OX 4 ,0 2 0 100 ,5 0 0 0.1 X $ 4 .5 7 21.4X OGEMAU S 3 .9 3 2 5 .2X 17.2X 3 ,5 6 9 8 9 ,2 2 5 0 .1 X $ 5 .4 3 3 4 .8 X 2 1 .8X 3 ,0 9 2 7 7 ,3 0 0 0 .1 X $ 4 .7 0 30 .2 X 54.3X 1 0 ,2 4 6 2 5 6 ,1 5 0 ONTONAGON $ 6 .2 4 2 1 .7X 14.9X 2 ,2 0 6 5 5 ,1 5 0 O.OX $ 5 .5 9 19.5X -14.SX 4 ,3 5 0 108 ,7 5 0 0 .1 X $ 1 1 .0 3 38.4X 17.0X 1 1 ,3 2 4 2 8 3 ,1 0 0 OSCEOLA $ 0 .9 9 9.5X -23.4X 1,3 7 9 3 4 ,4 7 5 O.OX $ 1 .8 2 17.6X 22.9X 3 ,9 4 6 9 8 ,6 5 0 0 .1 X $ 5 .2 1 50.4X 42.3X 7 ,8 3 0 195 ,7 5 0 OSCODA S I . 64 14.6X -4 9 .2 X 723 18,075 O.OX $ 2 .6 4 23.4X - 1 4 . IX 1 ,8 9 6 4 7 ,4 0 0 O.OX $ 6 .9 1 61.3X 89.2X 3 ,0 9 1 7 7 ,2 7 5 OTSEGO $ 6 .6 3 15.4X 13.9X 7 ,3 2 9 183,225 0 .2 X $ 1 2 .2 2 28.4X -7 .7 X 9 ,1 6 2 2 2 9 ,0 5 0 0.2X $ 1 5 .2 8 35.6X 5.7X 2 5 .7 6 7 6 4 4 ,1 7 5 OTTAUA $ 1 7 .4 7 35.2X 6 . OX 8 2 ,1 4 9 2 ,0 5 3 ,7 2 5 1.7X $ 1 3 .0 7 26.3X -1 2 .2 X 6 6 ,5 7 9 1 ,6 6 4 ,4 7 5 1.4X $ 1 0 .5 9 2 1 .4X • 6 . IX 3 1 1 ,7 6 4 7 ,7 9 4 ,1 0 0 $ 2 .6 1 26.9X 153.9X 2 ,0 9 7 5 2 ,4 2 5 O.OX $ 3 .6 7 37.9X 19.6X 1 ,5 0 8 3 7 ,7 0 0 O.OX $ 2 .6 4 27.3X 5 5 . IX 5 ,5 3 0 1 3 8 ,2 5 0 ROSCOMMON $ 6 .6 2 2 5 .SX 23.7X 8 ,4 5 8 21 1 ,4 5 0 0 .2 X $ 1 2 .9 1 49.6X 2 4 .4X 2 ,8 7 0 7 1 ,7 5 0 0.1X $ 4 .3 8 16.9X 65.7X 16.9 9 3 4 2 4 ,8 2 5 2 . OX $ 1 0 .6 2 37.5X 28.8X 2 5 8 ,3 8 8 6 ,4 5 9 ,7 0 0 0.7 X $ 6 .0 2 26.4X 13.8X 126 ,6 7 2 3 ,1 6 6 ,8 0 0 MUSKEGON PRES. IS . SAGINAW $ 3 .4 5 19.2X -1 3 .5 X 6 7 ,5 7 7 1 ,6 8 9 ,4 2 5 1.4X $ 7 .4 1 26.2X 38.4X 9 6 ,8 8 5 2 ,4 2 2 ,1 2 5 ST. CLAIR $ 7 .2 0 31.6X 2 1 .BX 3 6 ,5 1 9 9 1 2 ,9 7 5 0.8 X $ 6 .5 8 28 .e x 15.5X 3 3 ,4 0 5 8 3 5 ,1 2 5 12.2X 4 ,4 1 5 ,4 4 3 1 1 0 ,3 8 6 ,0 7 5 -1 3 .5 X 1 8 ,8 2 2 4 7 0 ,5 5 0 ST. JOSEPH $ 6 .9 6 36.5X 12.6X 1 2 ,2 6 9 30 6 ,7 2 5 0.3 X $ 5 .4 7 28.6X -1 7 .2 X 8 ,6 4 0 2 1 6 ,0 0 0 0.2X S 3 .8 5 20.2X -2 .4 X 4 2 ,8 5 9 1 ,0 7 1 ,4 7 5 SANILAC $ 2 .8 5 3 6 .OX 14.2X 5 ,1 1 2 127,8 0 0 0.1 X $ 3 .1 3 39.5X -6 .7 X 2 ,1 2 2 5 3 ,0 5 0 O.OX $ 1 .3 0 16.4X - 2 6 . IX 1 2 ,9 2 6 3 2 3 ,1 5 0 SCHCRFT. $ 5 .3 5 32.7X 79.2X 1,652 4 1 ,3 0 0 O.OX $ 4 .8 2 29.SX 52.7X 1 ,5 1 7 3 7 ,9 2 5 O.OX $ 4 .4 2 2 7 . IX 38.9X 5 ,6 0 8 140 ,2 0 0 SHIAUASSE $ 1 5 .9 7 27.8X 9.5X 4 1 ,9 7 0 1 ,0 4 9 ,2 5 0 0 .9 X $ 1 4 .7 5 25.7X 9.9X 4 7 ,4 7 3 1 ,1 8 6 ,8 2 5 1.0X $ 1 6 .6 8 2 9 . IX 12.2X 163,301 4 ,0 8 2 ,5 2 5 TUSCOLA $ 1 0 .7 0 40.9X -40.9X 18,1 5 9 4 5 3 ,9 7 5 0.4 X $ 7 .9 7 3 0 . SX 13.3X 8 ,2 3 5 205,8 7 5 0.2 X $ 3 .6 1 1 3 .BX 12.4X 5 9 ,5 9 4 1 ,4 8 9 ,8 5 0 $ 9 .9 6 42.9X 44.8X 16,238 4 0 5 ,9 5 0 0.3 X $ 6 .0 8 26.2X 2 1 .6X 10 ,9 7 9 274 ,4 7 5 0.2 X $ 4 .1 1 17.7X - 3 3 .4X 62,0 2 1 1 ,5 5 0 ,5 2 5 UASHTENAU $ 1 0.01 26.6X 9.3X 105,459 2 ,6 3 6 ,4 7 5 2.2 X S 9 .9 6 26.4X 1 2 .OX 128,752 3 ,2 1 8 ,8 0 0 2.6X $ 1 2 .1 6 32.3X 28.2X 3 9 9 ,0 3 8 9 ,9 7 5 ,9 5 0 WAYNE $ 5 .2 5 31.5X 1.0X 4 0 4 ,2 0 7 1 0 ,1 0 5 ,1 7 5 8 .6 X $ 4 .3 2 25.9X -2 .3 X 372,711 9 ,3 1 7 ,7 7 5 $ 3 .9 9 23.9X •8 .7 X 1 ,5 6 1 ,6 3 3 3 9 ,0 4 0 ,8 2 5 $ 1 1 .9 8 23.7X 41.2X 12,744 3 1 8 ,6 0 0 0 .3 X $ 1 2 .6 9 2 5 . IX 8.7X 1 7 ,5 5 7 4 3 8 ,9 2 5 0.4 X $ 1 7 .4 9 34.6X 2 4 .3X S9.5X 6 0 2 ,3 6 7 1 5 ,0 5 9 ,1 7 5 24.9X 1B.6X 7 5 8 ,2 4 6 I B ,9 5 6 ,1 5 0 VAN SUREN WEXFORD OUT/STATE 12.8X 7.6X 1 5 .SX 3 1 .4X 5 . OX 5 0 ,6 7 3 1 ,2 6 6 ,8 2 5 -4 .3 X 2 ,4 1 8 ,4 4 2 6 0 ,4 6 1 ,0 5 0 COUNIT PER SPORTING PERCENT CHANGE TOTAL TOTAL CAPITA OF TOTAL 8 5 ( 2 ) t o GOOOS PERCENT GOOOS OF TOTAL CAPITAOF TOTAL 8 S ( 3 ) to GOOOS GOOOS OF TOTAL CAPITAOF TOTAL 8 S ( 4 ) to SALES SALES SALES SALES SALES SALES SALES REVENUES TEAR CHANGE SPORTING 6 6 (2 ) SALES TAX PER PERCENT SALES YEAR TAX COUNTY 28.4X 6 1 1 .4 3 SALES PERCENT PER PERCENT SALES TEAR TAX 8 6 ( 4 ) TAX 1986 1986 1 9 8 6 (4 ) 14.3X 4 ,7 0 3 ,0 1 3 1 1 7 ,5 7 3 ,3 7 5 4 9 ,4 0 5 6 6 (3 ) SPORTING SPORTING TAX 1966(3) TOTAL CHANGE 1 ,2 3 5 ,1 3 5 100.0X 27 .7 X 6 1 1 .0 7 1 3 .3 X 4 ,9 0 6 ,3 5 2 1 2 2 ,6 5 8 ,8 0 0 4 9 ,9 7 7 1 ,2 4 9 ,4 3 0 100.0X 2 8 .9 X 6 1 1 .2 0 7 .2 X 1 6 ,9 7 4 ,4 6 1 4 2 4 ,3 6 1 ,5 2 5 1 8 1 ,0 2 5 4 ,5 2 5 ,6 3 0 GO O APPENDIX L STATISTICAL ABSTRACT FOR MEN'S/BOY'S CLOTHING SALES TAX BY QUARTER FOR MICHIGAN COUNTIES 1983-86 COUNTY POPULATION MEN'S SALES 80Y‘ S REVENUES PERCENT PER MEN'S SALES OF TOTAL CAPITA OF TOTAL BOY'S PERCENT REVENUES CLOTHING SALES SALES SALES TAX TAX YEAR CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL Q 1to02 PERCENT BOY'S REVENUES CLOTHING SALES SALES TAX TAX 198 3 (1 ) PER SALES PERCENT YEAR PERCENT CLOTHING SALES SALES TAX TAX 1 9 8 3 (2 ) PER PERCENT OF TOTAL CAPITA OF TOTAL SALES YEAR 1 9 8 3 (3 ) ALCONA 9 ,7 * 0 0 0 O.OX SO. 00 ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ALGER 9 ,2 2 5 0 0 O.OX S 0 .0 0 ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ALLEGAN 8 1 ,5 5 5 * ,7 8 3 119,575 0.3X S I .*7 1 6 .OX 6 ,9 * 9 173,725 0 .3X $ 2 .1 3 2 3.3X 45.3X 1 0 ,0 4 7 2 5 1 ,1 7 5 0 .5X S 3 .0 8 33.6X ALPENA 3 2 ,3 1 5 2 ,9 9 8 7 4 ,9 5 0 0.2X S 2 .3 2 1 9 .OX 3 ,2 2 7 8 0 ,6 7 5 0.1 X S 2 .S 0 2 0 .AX 7.6X 3 ,4 0 6 8 5 .1 5 0 0 .2 X S 2 .6 3 2 1 .5X ANTRIM 1 6 ,19* 189 4 ,7 2 5 O.OX SO. 29 12.6X * 47 11,175 O.OX SO.69 2 9 .BX 136.5X *85 1 2 ,125 O.OX SO.75 32.3X ARENAC 1 * ,7 0 6 1 ,1 * 6 2 8 ,6 5 0 0.1X S I . 95 19.7X 1,4 7 5 3 6 ,8 7 5 0.1 X S2.51 25.3X 28.7X 1 ,1 1 8 2 7 ,9 5 0 0.1X SI .9 0 19.2X BARAGA 8 , *8* 0 0 O.OX $ 0 .0 0 ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR *5,7 8 1 0 0 O.OX SO. 00 O.OX 0 0 O.OX SO.OO O.OX ERR 0 0 O.OX SO.OO O.OX 119,881 3 ,4 1 * 8 5 ,3 5 0 0.2X SO.71 17.3X 3 ,4 5 5 8 6 ,3 7 5 0 .2 X SO.72 17.5X 1.2X 4 ,5 * 3 113,5 7 5 0.2X $ 0 .9 5 2 3 .IX BARRY BAY BENZIE 11,205 1 ,4 7 9 3 6 ,9 7 5 0.1X S 3 .3 0 16.6X 1 ,6 8 * 4 2 ,1 0 0 0 .1X S 3 .7 6 18.9X 13.9X 3 ,4 3 3 8 5 ,8 2 5 0.2X S 7 .6 6 38.6X BERRIEN 1 7 1,276 3 7 ,7 2 3 9 * 3,075 2 . IX S5.51 2 1 .6X * 0 ,5 3 8 1 ,0 1 3 ,4 5 0 1.BX S 5 .9 2 23.2X 7.5X 3 7 ,6 * 8 9 4 1 ,2 0 0 1.8X S 5 .5 0 2 1 .5X BRANCH * 0 ,1 8 8 4 ,0 2 9 100,725 0.2X S2.51 17.9X 5 ,5 2 7 138,175 0.3X $ 3 .4 * 24.6X 37.2X 3 ,9 2 8 9 8 ,2 0 0 0 .2X $ 2 .4 4 17.5X CALHOUN 1 * 1 ,5 5 7 4 ,1 2 * 1 0 3,100 0.2X SO .73 20.2X 4 ,4 9 8 112,4 5 0 0.2 X $ 0 .7 9 2 2 .OX 9 . IX 4 ,5 0 9 112 ,7 2 5 0.2X SO.80 2 2 .OX CASS * 9 ,* 9 9 1,4 3 3 3 5 ,8 2 5 0.1X SO.72 12.4X 2 ,4 8 8 6 2 ,2 0 0 0 .1 X S I . 26 2 1 .6X 73.6X 3 ,1 5 1 7 8 ,7 7 5 0.2X S I . 59 27.3X CHARLVX. 1 9 ,9 0 7 0 0 O.OX SO. 00 ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR CHEBOYGAN 2 0 ,6 * 9 1 ,2 3 6 3 0 ,9 0 0 0.1X S I . 50 17.2X 1 ,6 2 8 * 0 ,7 0 0 0 .1X S 1 .9 7 22.7X 3 1 .7X 1,511 3 7 ,7 7 5 0 .1 X $ 1 .8 3 2 1 . IX CHIPPEUA 2 9 ,0 2 9 2 ,4 2 2 6 0 ,5 5 0 0.1X S 2 .0 9 19.5X 2 ,7 * 3 6 8 ,5 7 5 0 .1X S 2 .3 6 2 2 . IX 13.3X 3 ,1 2 3 7 8 ,0 7 5 0 .1X S 2 .6 9 2 5 . IX CLARE 2 3 ,8 2 2 2 ,791 6 9 ,7 7 5 0.2X S 2 .9 3 18.8X 2 ,8 6 6 7 1 ,6 5 0 0 .1X S 3.01 19.3X 2.7X 3 ,5 6 8 8 9 ,2 0 0 0.2 X S 3 .7 4 24 .OX CLINTON 5 5 ,8 9 3 0 0 O.OX SO. 00 ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR CRAWFORD 9 ,* 6 5 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR DELTA 3 8 ,9 * 7 3 ,2 1 2 8 0 ,3 0 0 0.2X S 2 .0 6 16.7X 3 ,3 7 0 8 4 ,2 5 0 0 .2X S 2 .1 6 17.5X 4.9X 4 ,3 6 3 109,075 0 .2X $ 2 .8 0 22.7X DICKINSON 25,3 * 1 6 ,9 0 5 172,625 0.4X S6.81 2 3 . IX 7 ,6 6 7 191,675 0 .3X S 7 .5 6 25.6X 1 1 . OX 8 ,8 3 5 2 2 0 ,8 7 5 0 .4X S 8 .7 2 29.5X EATON 8 8 ,3 3 7 8 ,1 0 9 2 0 2,725 0.4X S 2 .2 9 20.2X 9 ,9 * 5 2 * 8 ,6 2 5 0 .5 X S 2 .8 1 2A.8X 22.6X 7 ,7 5 3 193 ,8 2 5 0.4X S 2 .1 9 19.3X EMMET 2 2 ,9 9 2 0 0 O.OX SO.OO O.OX 0 0 O.OX SO.OO O.OX ERR 4 ,5 1 5 112,875 0 .2X S 4.91 100.0X 8 2 ,5 6 2 2 ,0 6 4 ,0 5 0 3.7 X SA.S8 2 3 .AX 20.6X 7 2 ,4 6 2 1 ,8 1 1 ,5 5 0 3 .5X S 4 .0 2 20.5X 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR 0.1X S 3 .0 7 24.9X 1.2X $ 1 1 .3 8 29.4X GENESSE * 5 0 ,* * 9 6 8 ,4 8 2 1 ,7 1 2 ,0 5 0 3.7X S 3 .8 0 1 9 .AX GLADWIN 1 9 ,9 5 7 0 0 O.OX SO.OO ERR GOGEBIC 1 9 ,686 1 ,3 5 3 3 3 ,8 2 5 0.1X S I . 72 13.9X 1 ,7 0 0 * 2 ,5 0 0 0.1X S 2 .1 6 17.5X 25.6X 2 ,4 1 9 6 0 ,4 7 5 GR. TRAV. 5 * .8 9 9 1 5 ,229 3 8 0 ,7 2 5 O.OX $ 6 .9 * 17.9X 16,721 *18,0 2 5 0.8X S7.61 19.7X 9.8X 2 4 ,9 9 4 6 2 4 ,8 5 0 COUNTY POPULATION MEN'S SALES BOY'S REVENUES PERCENT PER MEN’ S SALES OF TOTAL CAPITA OF TOTAL BOY'S PERCENT REVENUES CLOTHING SALES SALES SALES TAX TAX YEAR PERCENT CHANGE MEN'S SALES BOY'S REVENUES CLOTHING SALES SALES TAX TAX 19 8 3 (1 ) PER OF TOTAL CAPITA OF TOTAL Q1toQ2 SALES PERCENT YEAR PERCENT CLOTHING SALES SALES TAX TAX 1 9 8 3 (2 ) PER PERCENT OF TOTAL CAPITA OF TOTAL SALES YEAR 1 9 8 3 (3 ) GRATOIT A O.UB 2 ,6 8 9 6 7 ,2 2 5 0.1X $ 1 .6 6 18.5X 3 ,0 1 2 7 5 ,3 0 0 0.1X $ 1 .8 6 20.8X 1 2 .OX 2 ,8 1 3 7 0 ,3 2 5 0.1X $ 1 .7 4 19.4X HILLSDALE A2.071 3 ,U 2 8 6 ,0 5 0 0.2X S 2 .0 5 1 9 .OX 3 ,7 7 5 9 4 ,3 7 5 0.2X S 2 .2 4 20.9X 9.7X 4 ,5 3 7 113,425 0.2X S 2 .7 0 25.1X HOUGHTON 3 7 ,8 7 2 2,0 1 1 5 0 ,2 7 5 0.1X S I . 33 22.9X 2 ,1 0 2 5 2 ,5 5 0 0.1X S I .3 9 2 4 .OX 4.5 X 2 ,4 7 0 6 1 ,7 5 0 0.1X S I .6 3 28.2X HURON 3 6 ,4 5 9 2 ,0 1 7 5 0 ,4 2 5 0.1X S I . 38 1 5 .6X 3 ,2 6 2 8 1 ,5 5 0 0.1X S 2 .2 4 25.2X 6 1 . 7X 3 ,2 1 6 8 0 ,4 0 0 0.2X S2.21 2 4 .BX 2 7 5 ,5 2 0 4 6 ,7 3 2 1 ,1 6 8 ,3 0 0 2.5X S 4 .2 4 1 8 .OX 5 9 ,2 6 0 1 ,4 8 1 ,5 0 0 2.7X 4 5 .3 8 22.9X 2 6 .BX 5 8 ,2 9 6 1 ,4 5 7 ,4 0 0 2.ex $ 5 .2 9 22.5X IONIA 5 1 ,8 1 5 1 ,985 4 9 ,625 0.1X SO.96 18.4X 2 ,5 9 2 6 4 ,8 0 0 0.1X S I . 25 2 4 .OX 30.6X 2 ,4 7 0 6 1 ,7 5 0 0.1X $ 1 .1 9 22.ex IOSCO 2 8 ,3 4 9 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR IRON 13,635 1 ,6 5 3 4 1 ,3 2 5 0.1X S 3 .0 3 IB . IX 1,911 4 7 ,7 7 5 0.1X S 3 .5 0 2 1 .OX 15.6X 2 ,2 0 7 5 5 ,1 7 5 0.1X S 4 .0 5 24.2X INGHAM ISABELLA 5 4 ,1 1 0 5 ,1 2 1 128,025 0.3X S 2 .3 7 2 1 .9X 5 ,0 1 5 1 2 5 ,3 7 5 0.2 X S 2 .3 2 2 1 .5X -2 .1 X 4 ,3 9 5 109 ,8 7 5 0.2X $ 2 .0 3 18.8X JACKSON 151,495 2 4 ,5 0 3 6 1 2 ,575 1.3X S 4 .0 4 22.7X 2 4 ,2 0 1 6 0 5 ,0 2 5 1.1X $ 3 .9 9 22.4X -1 .2 X 2 2 ,0 6 7 551 ,6 7 5 1.1X S 3 .6 4 20.4X KALAMAZOO 2 1 2 ,3 7 8 100,081 2 ,5 0 2 ,0 2 5 5.4X $ 1 1 .7 8 2 1 . JX 9 8 ,9 4 1 2 ,4 7 3 ,5 2 5 4.5X $ 1 1 .6 5 2 1 . IX -1 .1 X 1 1 0 ,0 1 8 2 ,7 5 0 ,4 5 0 5.3X S 1 2 .9 5 23.4X 1 0 ,9 5 2 0 0 0 0 ERR ERR 0 0 4 U .5 0 6 7 3 ,6 8 2 1 ,8 4 2 ,0 5 0 8 7 ,7 8 5 2 ,1 9 4 ,6 2 5 2 4 . IX 1 9 . IX 8 3 ,6 4 3 2 ,0 9 1 ,0 7 5 KEUEENAU 1 ,9 6 3 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO LAKE 7,7 1 1 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR 7 0 ,0 3 8 1 ,834 4 5 ,8 5 0 0.1X SO.65 16.4X 2 ,3 4 2 5 8 ,5 5 0 0.1X SO.84 21 .OX 27.7X 2 ,4 0 8 6 0 ,2 0 0 0.1X SO.86 2 1 .6X KALKASKA KENT LAPEER O.OX SO.OO 4 . OX $ 4 .1 4 ERR 20.3X O.OX SO.OO 4 . OX $ 4 .9 4 O.OX SO.OO 4 . OX S 4 .7 0 ERR 2 3 .OX ERR LEELANAU 1 4 ,0 0 7 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR LENAWEE 8 9 ,9 4 8 7 ,6 1 3 190,325 0.4X S 2 .1 2 19.2X 8 ,6 4 8 2 1 6 ,2 0 0 0.4X S 2 .4 0 2 1 .8X 13.6X 8 ,2 8 7 2 0 7 ,1 7 5 0.4X $ 2 .3 0 20.9X LIV. 1 0 0,289 2 ,2 1 7 55,4 2 5 0.1X SO.55 1 5 .2X 3 ,4 6 2 8 6 ,5 5 0 0.2X SO. 86 23.7X 56.2X 3 ,0 5 7 7 6 ,4 2 5 0.1X SO.76 2 1 .OX LUCE 6 ,6 5 9 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR 1 0 ,178 0 0 O.OX SO.OO O.OX 202 5 ,0 5 0 O.OX SO.SO 27.4X ERR 535 13,3 7 5 O.OX S I . 31 72.6X MACKINAC MACOMB 6 9 4 ,6 0 0 1 3 6 ,310 3 ,4 0 7 ,7 5 0 7.4X S 4.91 1 8 .IX 172 ,1 3 6 4 ,3 0 3 ,4 0 0 7.8X $ 6 .2 0 22.9X 26.3X 139 ,6 0 0 3 ,4 9 0 ,0 0 0 6 .7 X S 5 .0 2 18.6X MANISTEE 2 3 ,0 1 9 3 ,2 1 6 8 0 ,4 0 0 0.2X S 3 .4 9 17.5X 3 ,9 5 2 9 8 ,8 0 0 0.2X S 4 .2 9 2 1 .5X 22.9X 5 ,1 3 2 128 ,3 0 0 0.2X S 5 .5 7 27.9X MARQUETTE 74,101 486 12,150 O.OX S O .16 12.7X 954 2 3 ,8 5 0 O.OX SO.32 2 4 .9X 96.3X 865 2 1 ,6 2 5 O.OX SO.29 22.6X MASON 2 6 ,3 6 5 4 ,7 5 9 118,975 0.3X S4.51 16.3X 6 ,2 7 2 1 5 6 ,8 0 0 0.3X S 5 .9 5 21.5X 31.8X 8 ,0 1 5 200 ,3 7 5 0.4X $ 7 .6 0 27.5X MECOSTA 36,9 6 1 5 ,2 6 1 131,525 0.3X S 3 .5 6 22.5X 4 ,7 1 4 1 17,8 5 0 0.2X $ 3 .1 9 2 0 . ZX -10.4X 6 ,1 4 6 153 ,6 5 0 0 .3X S 4 .1 6 26.3X MENOMINEE 26,2 0 1 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO MIDLAND 7 3 ,5 7 8 3 5 ,6 9 5 8 9 2 ,3 7 5 2 6 ,981 6 7 4 ,5 2 5 1.2X S 9 .1 7 1 8 .OX 3 1 ,4 0 7 7 8 5 .1 7 5 1.9X $ 1 2 .1 3 2 3 .8X -2 4 .4 X 1.5X S 1 0 .6 7 ERR 20.9X COUNTY POPULATION HEN'S SALES BOY'S REVENUES PERCENT PER MEN’ S SALES CAPITA OF TOTAL BOY'S REVENUES CLOTHING OF TOTAL SALES SALES TAX TAX SALES PERCENT YEAR MONROE MONTCALM CHANGE MEN'S SALES BOY'S REVENUES SALES SALES TAX TAX PER PERCENT OF TOTAL CAPITA OF TOTAL 01toQ 2 CLOTHING 1983(1) MISSAUKEE PERCENT SALES YEAR 0 0 O.OX SO.OO ERR 1 3 4 ,6 5 9 7,*31 185,775 0.4X S I . 38 2 1 .6X PER PERCENT OF TOTAL CAPITA OF TOTAL CLOTHING SALES SALES TAX TAX 1 9 8 3 (2 ) 1 0 ,0 0 9 PERCENT SALES YEAR 1 9 8 3 (3 ) 0 0 O.OX SO.OO ERR ERR 8 ,5 2 3 2 1 3 ,0 7 5 O.AX S I . 58 24.BX 14.7X 0 0 O.OX SO.OO ERR 9 ,4 2 1 2 3 5 ,5 2 5 0.5X $ 1 .7 5 27.4X * 7 ,5 5 5 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR 7 , *92 275 6 ,8 7 5 O.OX SO.92 1A.5X 556 1 3 ,9 0 0 O.OX S I . 86 29.2X 102.2X 673 1 6 ,825 O.OX $ 2 .2 5 35.4X MUSKEGON 15 7 ,589 2 1 ,7 8 3 5 * 4 ,5 7 5 1.2X S 3 . *6 2 1 .8X 1 9 ,7 5 2 * 9 3 ,8 0 0 0.9X S 3 .1 3 19.8X -9 .3 X 2 1 ,9 2 8 5 * 8 ,2 0 0 1.0X S 3 .4 8 2 2 .OX NEUAYGO 3 * ,9 1 7 8 ,3 9 5 2 0 9,875 0.5X S6.01 18.2X 8 ,9 * 9 2 2 3 ,7 2 5 O.AX S 6.41 1 9 .AX 6 .6 X 1 1 ,1 1 9 2 7 7 ,9 7 5 0.5X S 7 .9 6 24.1X OAKLAND 1,,0 1 1 ,7 9 3 24.3X S 1 1 .0 6 O.OX SO.OO 19.2X 2 6 . 1X S I * . 26 2A.7X 22.7X $ 1 1 .7 0 20.3X MONTH. * * 7 ,* 2 * 1 1 ,1 8 5 ,6 0 0 OCEANA 2 2 ,0 0 2 0 0 OGEMAU 1 6 ,* 3 6 1 ,11* 2 7 ,8 5 0 0.1X S I . 69 ONTONAGON 5 7 7 ,1 7 0 1 4 ,4 2 9 ,2 5 0 2 9 .OX * 7 3 ,5 3 2 1 1 ,8 3 8 ,3 0 0 0 0 O.OX SO.OO ERR ERR 17. IX 1 ,5 1 * 3 7 ,8 5 0 0.1X S 2 .3 0 23.2X ERR 0 0 O.OX SO.OO ERR 3 5 .9X 1 ,5 3 9 3 8 ,4 7 5 0.1X S 2 .3 4 2 3 .6 X 9 ,8 6 1 1 ,162 2 9 ,0 5 0 0.1X S 2 .9 5 14.4X 2 ,0 9 0 5 2 ,2 5 0 0.1X S S .3 0 25.9% 79.9% 2 ,1 0 7 5 2 ,6 7 5 0.1X $ 5 .3 * 2 6 . IX OSCEOLA 1 8 ,9 2 8 858 2 1 ,4 5 0 O.OX S I . 13 7 3 .BX 30* 7 ,6 0 0 O.OX SO.AO 26.2X • 6 4 .6X 0 0 O.OX SO.OO O.OX OSCODA 6 ,8 5 8 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR OTSEGO 1*,993 1 ,18* 2 9 ,6 0 0 0.1X SI .9 7 17.5X 1,281 3 2 ,0 2 5 0.1X S 2 .1 * 18.9% 8 .2X 1 ,8 9 3 * 7 ,3 2 5 0.1X S 3 .1 6 2 8 .OX OTTAWA 157,17* 31 ,* 8 6 7B 7.150 1.7X $ 5 .0 1 20.7X 3 2 ,0 3 2 8 0 0 ,8 0 0 1.SX S 5 .0 9 2 1 . IX 1.7X 3 8 ,4 9 0 9 6 2 ,2 5 0 1.8X S 6 .1 2 25.4X H .2 6 7 1 ,2 7 8 3 1 ,9 5 0 0.1X S 2 .2 * 19.6X *•1“WT ' 3 1 ,6 7 5 0.1X S 2 .2 2 19.4X -0 .9 X 1 ,7 2 7 * 3 ,1 7 5 0.1X S 3 .0 3 2 6 .AX PRES. IS . 16,3 7 * 1 ,690 * 2 ,2 5 0 0.1X S 2 .S 8 10.5X 3 ,7 9 * 9 4 ,8 5 0 0.2X S 5 .7 9 23.6X 1 2 4 .SX 4 ,9 5 0 1 2 3 ,7 5 0 0.2 X S 7 .5 6 30.7X SAGINAW 2 2 8 ,0 5 9 5 9 ,2 6 5 1 ,4 8 1 ,6 2 5 3.2X S 6 .5 0 22.SX 5 5 ,8 8 1 1 ,3 9 7 ,0 2 5 2.5X S 6 .1 3 21.2% -5 .7 X 5 3 ,0 5 9 1 ,3 2 6 ,4 7 5 2.5 X * 5 .8 2 2 0 . IX ST. CLAIR 138,802 13,421 3 3 5 ,5 2 5 0.7X S 2 .4 2 18.3X 1 5 ,1 7 8 3 7 9 ,* 5 0 0.7X S 2 .7 3 2 0 .7X 1 3 .IX 1 5 ,7 3 3 3 9 3 ,3 2 5 0.8X S 2 .8 3 2 1 .5X ST.JOSEPH 5 6 ,0 8 3 4 ,5 1 5 112,875 0.2X $ 2 .0 1 2 0 .AX 5 ,0 * 2 1 2 6 ,0 5 0 0.2X s ; . 2s 2 2 .A 11.7% 5 ,5 3 9 138,475 0.3X S 2 .4 7 2 5 .OX SANILAC * 0 ,7 8 9 0 0 O.OX SO.OO O.OX 0 0 O.OX SO.OO O.OX ERR *8 1 ,2 0 0 O.OX SO.03 6 .2 X SCHCRFT.. 8 ,5 7 5 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR 7 1 ,1 * 0 6 ,2 0 3 155,075 0.3X S 2 .1 8 24.2X 6 ,5 7 7 164,425 0.3X S 2.31 25.6X 3 ,4 6 6 8 6 ,6 5 0 0.2X $ 1 .2 2 13.5X ROSCOMMON SHIAWASSE 6 . OX TUSCOLA 56,961 1 ,3 5 2 3 3 ,8 0 0 0.1X SO.59 1 3 .6X 2 ,0 9 1 5 2 ,2 7 5 0.1X SO.92 2 1 . IX 54.7X 2 ,2 6 9 5 6 ,7 2 5 0.1X SI .0 0 22.9% VAN BUREN 6 6 ,8 1 * 3 ,7 2 2 9 3 ,0 5 0 0.2X S I . 39 25.9X 2 ,3 1 * 5 7 ,8 5 0 0.1X SO.8 7 1 6 .IX • 3 7 .BX 4 ,0 6 2 101,5 5 0 0.2% S I .5 2 28.3X 6 1 ,9 * 4 1 ,5 * 8 ,6 0 0 2.8X S 5 .8 5 2 0 . IX 8 .6 X 6 2 ,5 6 6 1 ,5 6 4 ,1 5 0 *54,7 7 1 1 1 ,3 6 9 ,2 7 5 20.6X SA.86 23.6X 25.6X S 9 .6 9 2 3 .OX 3 1 .SX 10,8*1 2 7 1 ,0 2 5 20.8X 2 9 .SX 2 5 0 ,4 2 5 6 ,2 6 0 ,6 2 5 WASHTENAW 2 6 * ,7 * 8 WAYNE WEXFORD OUT/STATE 2 ,3 5 7 ,8 9 1 2 5 ,1 0 2 5 7 ,0 5 5 1 ,4 2 6 ,3 7 5 3 . IX S 5 .3 9 18.5X 3 6 2 ,1 1 8 9 ,0 5 2 ,9 5 0 19.7X S3.B 7 18.8X 7 ,4 0 2 1 8 5 ,050 O.AX S 7 .3 7 1 6 7,617 4 ,1 9 0 ,4 2 5 9 . IX 17.5X 9 ,7 3 2 2 4 3 ,3 0 0 O.AX 1 6 .1 * 2 1 7 ,0 7 7 5 ,4 2 6 ,9 2 5 9.8X * 0 7 ,1 7 8 1 0 ,1 7 9 ,4 5 0 3 . OX S5.91 19.5X 20.3X S 4 .3 5 2 1 . IX 0.5X $ 1 0 .0 0 2 5 .6X 1 2 .OX 24.0X COUNIT POPULATION HEN'S BOY'S SALES REVENUES PERCENT PER HEN'S SALES OF TOTAL CAPITA OF TOTAL BOY'S REVENUES CLOTHING SALES SALES TAN TAX SALES 1 9 8 3 (1 ) TOTAL 111,591 2 0 ,1 3 9 YEAR PERCENT CHANGE HEN'S OF TOTAL CAPITA OF TOTAL O ltoQ 2 PER BOY'S CLOTHING SALES CLOTHING SALES SALES TAX TAX SALES TAX TAX SALES PERCENT YEAR 1 9 8 3 (2 ) 9 ,2 6 2 ,0 7 8 1 ,8 3 9 ,1 1 4 4 5 ,9 7 7 ,8 5 0 COUNTY AV PERCENT 1 0 0 .OX 5 0 3 ,4 6 3 2 3 ,9 9 7 PER PERCENT SALES YEAR 1 9 8 3 (3 ) 1 9 .0 X 2 ,2 0 8 ,8 4 8 5 5 ,2 2 1 ,2 0 0 * 4 .5 1 SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 5 9 9 ,9 3 1 100.0X 22.BX S 5 .3 8 2 0 .1 X 2 ,0 8 9 ,9 6 0 5 2 ,2 4 9 ,0 0 0 2 2 ,1 6 3 5 5 4 ,0 7 7 100.0X 21.6X S 4 .9 7 •OUT/STATE F l s u r n N at I n c lu d e d I n A verage* w •ERR I n d ic a te * D iv is io n b y Z e ro O 00 COUNTY CHANGE MEN'S SALES Q2toQ3 BOY'S REVENUES CHANGE TOTAL TOTAL MEN'S SALES OF TOTAL CAPITA OF TOTAL Q3toQ4 SALES PERCENT SALES BOY'S REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR TAX REVENUES 1983 1983 1983(4) PERCENT PER PERCENT CHANGE HEN'S SALES OF TOTAL CAPITA OF TOTAL 83(1)TO BOY'S REVENUES CLOTHING SALES SALES TAX TAX SALES YEAR 8 4 (1 ) CLOTHING SALES TAX 1 9 8 4 (1 ) 1 9 8 4 (2 ) ALCONA ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 ALGER ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 4 4 . 6X 8 ,0 9 9 20 2 ,475 0.2X S 2 .4 8 2 7 . IX -1 9 .4 X 2 9 ,8 7 8 7 4 6 ,9 5 0 5 ,0 8 8 1 2 7 ,2 0 0 0.3X S 1 .5 6 15.9X 6.4 X 7 ,1 1 3 177,825 ALPENA 5.5X 6 ,1 7 7 154,425 0.2X * 4 .7 8 3 9 . IX 8 1 .4X 1 5 ,8 0 8 3 9 5 ,2 0 0 2 ,5 4 2 6 3 ,5 5 0 0.1X S I .9 7 17.4X -1 5 .2 X 2 .9 2 8 7 3 ,2 0 0 ANTRIM 8.5X 379 9 .4 7 5 O.OX SO.59 25.3X - 2 1 .9X 1 ,5 0 0 3 7 ,5 0 0 167 4 ,1 7 5 O.OX $ 0 .2 6 50.2X -1 1 .6 X 166 4 ,1 5 0 ARENAC -2 4 .2 X 2 ,0 9 0 5 2 ,2 5 0 0.1X S 3 .5 5 3S.9X 86.9X 5 ,8 2 9 145,725 1 ,4 6 7 3 6 ,6 7 5 0.1X S 2 .4 9 22.3X 2 8 .OX 1 ,4 4 0 3 6 ,0 0 0 ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 ERR 1 ,2 3 0 3 0 ,7 5 0 1 ,3 8 6 3 4 ,6 5 0 0.1X SO .76 1 8 .OX ERR 1 ,5 8 4 3 9 ,6 0 0 BARAGA ERR 0 0 O.OX SO.OO BARRY ERR 1 ,2 3 0 3 0 ,7 5 0 O.OX SO.6 7 100.0X 3 1 .SX 8 ,2 7 6 20 6 ,9 0 0 0.2X * 1 .7 3 4 2 . OX 82.2X 19,6 8 8 4 9 2 ,2 0 0 1 ,7 1 3 4 2 ,8 2 5 0.1X * 0 .3 6 31.7X -4 9 .8 X 1 ,1 7 0 2 9 ,2 5 0 103.9X 2 ,3 0 2 5 7 ,5 5 0 0.1X *5. U 2 5 .9X -3 2 .9 X 8 ,8 9 8 2 2 2 ,4 5 0 1 ,4 2 9 3 5 ,7 2 5 0.1X S 3 .1 9 17.3X -3 .4 X 1,961 4 9 ,0 2 5 BERRIEN -7 .1 X SB ,854 1 ,4 7 1 ,3 5 0 1.7X * 8 .5 9 3 3 .7 X 56.3X 1 7 4 ,7 6 3 4 ,3 6 9 ,0 7 5 2 7 ,6 1 0 6 9 0 ,2 5 0 1.4X S 4 .0 3 19.4X -2 6 .8 X 32,7 2 1 8 1 8 ,0 2 5 BRANCH -2B.9X 9 ,0 0 9 2 2 5,225 0.3X * 5 .6 0 4 0 . IX 129.4X 22 ,4 9 3 5 6 2 ,3 2 5 3 ,2 0 3 8 0 ,0 7 5 0.2X S I . 99 17.3X -2 0 .5 X 4 ,3 3 3 108,325 0.2X 7 ,3 1 9 182,975 0.2X S I . 29 3 5 .e x 62.3X 2 0 ,4 5 0 5 1 1 ,2 5 0 3 ,2 4 7 8 1 ,1 7 5 0.2X SO.5 7 19.3X -2 1 .3 X 3 ,5 4 7 8 8 ,6 7 5 26.6X 4.4S 1 111,275 0.1X S2.2S 38.6X 41.3X 1 1 ,5 2 3 2 8 8 ,0 7 5 1 ,4 8 9 3 7 ,2 2 5 0.1X $ 0 .7 5 2 1 .7X 3 .9 X 1,1 8 4 2 9 ,6 0 0 BAY BENZIE CALHOUN CASS CHARLVX. CHEBOYGAN ERR -7 .2 X 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 2 ,7 9 9 6 9 ,9 7 5 0.1X S 3 .3 9 3 9 . OX 8S.2X 7 ,1 7 4 1 7 9 ,3 5 0 1 ,5 6 7 3 9 ,1 7 5 0.1X S I .9 0 17.6X 26.6X 0 0 1 ,5 8 9 3 9 ,7 2 5 CHIPPEWA 13.9X 4 ,1 4 4 103,600 0.1X S 3 .5 7 3 3 .3 X 32.7X 1 2 ,432 3 1 0 ,8 0 0 2 ,2 6 6 5 6 ,6 5 0 0.1X S I .9 5 18.9X -6 .4 X 2 ,7 2 9 6 8 ,2 2 5 CLARE 2 4 .SX 5 ,6 1 4 140,350 0.2X S 5 .6 9 37 .8 X S7.3X 1 4 ,8 3 9 3 7 0 ,9 7 5 2 ,8 6 5 7 1 ,6 2 5 0.1X $ 3 .0 1 1 9 .OX 2.7 X 3 ,4 6 7 8 6 ,6 7 5 0 CLIHTON ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 CRAWFORD ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 8 ,3 1 5 207,875 0.2X * 5 .3 4 43.2X 90.6X 1 9 ,2 6 0 4 8 1 ,5 0 0 3 ,1 9 2 7 9 ,8 0 0 0.2X S 2.0S 1 3 .IX •0 .6 X 3 ,7 4 1 9 3 ,5 2 5 DELTA 2 9 .SX 1S.2X 6 ,5 3 5 163,375 0.2X * 6 .4 5 2 1 .8X - 2 6 . OX 2 9 ,9 4 2 7 4 8 ,5 5 0 7 ,6 7 4 1 91,8 5 0 O.AX S 7 .5 7 19.2X 11 .IX 9 ,3 2 3 2 3 3 ,0 7 5 EATON * 2 2 .OX 1 4 ,353 3 5 8,825 0.4X S 4 .0 6 3 5 . 7X 8 5 . 1X 4 0 ,1 6 0 1 ,0 0 4 ,0 0 0 3 ,5 0 8 8 7 ,7 0 0 0 .2X * 0 .9 9 14.2X •5 6 .7 X 4 .3 2 9 108,2 2 5 EMMET ERR 0 0 O.OX SO.OO O.OX - 1 0 0 .OX 4 ,5 1 5 112,8 7 5 0 0 O.OX * 0 .0 0 O.OX 129,192 3 ,2 2 9 ,8 0 0 3.7X * 7 .1 7 3 5 2 ,6 9 8 8 ,8 1 7 ,4 5 0 7 4 ,1 9 5 1 ,8 5 4 ,8 7 5 3.8X * 4 .1 2 20.7X DICKINSON GENESSE -1 2 .2 X 36.6X 78.3X ERR 8.3X 1 25 8 7 ,5 4 4 2 ,1 8 8 ,6 0 0 GLADWIN ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 GOGEBIC 42.3X 4 ,2 2 8 105,700 0.1X * 5 .3 7 43.6X 7 4 .BX 9 ,7 0 0 2 4 2 ,5 0 0 544 1 3 ,6 0 0 O.OX SO.69 5 1 .OX • 5 9 .SX 0 0 GR. TRAV. 49.SX 2 8 ,0 9 0 7 0 2 ,2 5 0 0.8X S 1 2 .7 9 3 3 .OX 12.4X 8 5 ,0 3 4 2 ,1 2 5 ,8 5 0 1 4 ,8 0 9 3 7 0 ,2 2 5 0.8X S 6 .7 4 16.2X -2 .8 X 1 6 ,996 4 2 4 ,9 0 0 309 ALLEGAN COUNTY CHANGE MEN'S SALES Q2toQ3 BOY'S REVENUES PERCENT PERCENT CHANGE TOTAL TOTAL MEN'S SALES OF TOTAL CAPITA OF TOTAL Q3tcQ4 SALES SALES BOY'S REVENUES CLOTHING SALES SALES TAX TAX PER SALES YEAR TAX REVENUES 1983 1983 1983(4) CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL 8 3 (1 )T 0 BOY'S PERCENT REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 8 4 (1 ) CLOTHING SALES TAX 1 9 84(1) 1 9 8 4 (2 ) GRATOIT -6 .6 X 5 .9 8 9 149,725 0.2X S 3 .7 0 4 1 .3X 112.9X 1 4 ,5 0 3 3 6 2 ,5 7 5 2 ,0 9 9 5 2 ,4 7 5 0.1X S I . 30 17.3X - 2 1 .9X 2 ,9 3 3 7 3 ,3 2 5 HILLSDALE 20.2X 6 ,3 3 4 1 5 8,350 0.2X S 3 .7 6 3 5 .OX 39.6X 1 8 ,0 8 8 4 5 2 ,2 0 0 3 ,9 0 8 9 7 ,7 0 0 0 .2 X S 2 .3 2 23.2X 13.5X 3 ,2 6 7 8 1 ,6 7 5 5 5 ,3 2 5 HOUGHTON 17.5X 2 ,1 8 9 5 4 ,7 2 5 0.1X S I . 44 2 5 .OX -1 1 .4 X 8 ,7 7 2 2 1 9 ,3 0 0 2 ,0 3 9 5 0 ,9 7 5 0.1X S I . 35 2 3 .OX 1.4X 2 ,2 1 3 HURON -1 .4 X 4 ,4 6 2 1 1 1,550 0.1X S 3 .0 6 34.4X 38.7X 1 2 ,9 5 7 3 2 3 ,9 2 5 2 ,1 2 7 5 3 ,1 7 5 0 .1 X S 1 .4 6 1 6 .OX 5.5X 3 ,2 1 6 8 0 ,4 0 0 INCHAH -1 .6 X 9 4 ,6 8 8 2 ,3 6 7 ,2 0 0 2.7X S 8 .5 9 36.6X 6 2 .4X 2 5 8 ,9 7 6 6 ,4 7 4 ,4 0 0 5 5 ,6 5 2 1 ,3 9 1 ,3 0 0 2.9X S 5 .0 5 20.3X 1 9 . IX 6 4 ,4 7 5 1 ,6 1 1 ,8 7 5 IONIA -4 .7 X 3 ,7 6 4 9 4 ,1 0 0 0.1X S I . 82 3 4 .8X 52.4X 10,811 2 7 0 ,2 7 5 2 ,2 2 3 5 5 ,5 7 5 0.1X S 1 .0 7 21.7X 1 2 .OX 2 ,3 4 7 5 8 ,6 7 5 IOSCO ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 3 .3 4 9 8 3 ,7 2 5 0.1X S 6 .1 4 36.7X 51.7X 9 ,1 2 0 2 2 8 ,0 0 0 1,5 5 3 3 8 ,8 2 5 0.1X $ 2 .8 5 17.2X -6 .0 X IRON 1S.5X 0 0 1 ,9 5 0 4 8 ,7 5 0 -1 2 .4 X 8 ,8 4 6 2 2 1 ,1 5 0 0.3X S 4 .0 9 37.ex 1 0 1 .3X 2 3 ,3 7 7 5 8 4 ,4 2 5 4 ,4 2 0 110 ,5 0 0 0.2X S 2 .0 4 17.1X -1 3 .7 X 6 ,0 9 2 1 5 2 ,3 0 0 JACKSON -8 .8 X 3 7 .3 9 2 93 4 ,8 0 0 1.1X S 6 .1 7 34.6X 69.4X 108,1 6 3 2 ,7 0 4 ,0 7 5 19,034 4 7 5 ,8 5 0 1.0X S 3 .1 4 19.7X -2 2 .3 X 2 2 ,9 1 6 5 7 2 ,9 0 0 KALAMAZOO 11.2X 16 0 ,660 4 ,0 1 6 ,5 0 0 4.5X S 18.91 34.2X 4 6 .OX 4 6 9 ,7 0 0 5.6X S 1 2 .9 0 1 1 4 ,8 6 0 2 ,8 7 1 ,5 0 0 0 0 O.OX SO.OO ERR ERR 118,554 2 ,9 6 3 ,8 5 0 3.4X S 6 .6 7 32.6X 4 1 . 7X ISABELLA KALKASKA KENT ERR -4 .7 X 1 1 ,7 4 2 ,5 0 0 109,589 2 ,7 3 9 ,7 2 5 1 9 .BX 9.5 X 0 0 0 0 O.OX SO.OO ERR ERR 3 6 3 ,6 6 4 9 ,0 9 1 ,6 0 0 71,0 4 4 1 ,7 7 6 ,1 0 0 3 .7 X S 4 .0 0 18.4X -3 .6 X 0 0 8 8 ,3 3 1 2 ,2 0 8 ,2 7 5 0 KEUEEHAU ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 LAKE ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 LAPEER 2.8X 4 ,5 9 0 1 1 4,750 0.1X S I . 64 4 1 . IX 90.6X 11,1 7 4 2 7 9 ,3 5 0 2 ,0 3 2 5 0 ,8 0 0 0.1X SO.73 15.3X 10.8X 2 ,6 8 3 6 7 ,0 7 5 LEELANAU LENAUEE 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 -4 .2 X 1 5 ,1 4 7 3 7 8 ,6 7 5 0.4X S 4 .2 1 38.2X 82.8X 3 9 ,6 9 5 9 9 2 ,3 7 5 8 ,4 7 3 2 1 1 ,8 2 5 0.4X S 2 .3 5 20.9X 11.3X 7 ,6 2 2 1 9 0 ,5 5 0 -1 1 .7 X 1 4 ,5 7 7 3 6 4 ,4 2 5 2 ,5 0 7 6 2 ,6 7 5 O .IX SO.62 16.4X 1 3 .IX 3 ,6 1 5 9 0 ,3 7 5 0 0 0 0 O.OX SO.OO ERR ERR 0 0 737 1 8 ,425 0 0 O.OX SO.OO O.OX ERR 219 5 ,4 7 5 ERR 5 ,841 146,025 0.2X S I .4 6 4 0 . IX 9 1 . IX ERR 0 0 O.OX SO.OO ERR ERR HACKINAC 1 6 4 .9X 0 0 O.OX SO.OO O.OX -1 0 0 .0 X HACOMB LIV. LUCE -1 8 .9 X 3 0 4 ,3 3 0 7 ,6 0 8 ,2 5 0 MANISTEE 29.9X 6 ,0 6 3 151,575 MARQUETTE -9 .3 X 1 ,5 2 0 MASON 27. ex MECOSTA 30.4X MENOMINEE MIOLANO ERR 16.4X 8.6X S 1 0 .9 5 40.4X 1 1 8 .OX 7 5 2 ,3 7 6 1 8 ,8 0 9 ,4 0 0 132,002 3 ,3 0 0 ,0 5 0 6.6X S 4 .7 5 1 5 .IX -3 .2 X 2 2 4 ,8 4 0 5 ,6 2 1 ,0 0 0 0.2X S 6 .5 8 3 3 .OX 1 8 .IX 1 8 ,363 4 5 9 ,0 7 5 3 ,2 4 8 8 1 ,2 0 0 0.2X S 3 .5 3 17.2X 1.0X 4 ,4 7 4 1 1 1 ,8 5 0 3 8 ,0 0 0 O.OX SO.51 39.7X 7 5 .7X 3 ,8 2 5 9 5 ,6 2 5 743 18,575 O.OX SO.25 16. IX 52.9X 1 ,2 1 2 3 0 ,3 0 0 10,1 4 0 2 5 3 ,5 0 0 0.3X S 9 .6 2 34.7X 2 6 .SX 2 9 ,1 8 6 7 2 9 ,6 5 0 4 ,4 8 0 112 ,0 0 0 0.2X S 4 .2 5 13.9X -5 .9 X 7 ,5 7 4 189,3 5 0 7 ,2 2 4 1 8 0,600 0.2X S4.B 9 30.9X 17.5X 2 3 ,3 4 5 5 8 3 ,6 2 5 4 ,3 8 4 109 ,6 0 0 0 .2 X S 2 .9 7 19.8X -1 6 .7 X 4 ,2 6 2 106,5 5 0 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 5 5 ,9 5 8 1 ,3 9 8 ,9 5 0 37.3X 78.2X 150,041 3 ,7 5 1 ,0 2 5 3 3 ,3 8 5 8 3 4 ,6 2 5 2 1 .3X -6 .5 X 1.6X S 19.01 1.7X $ 1 1 .3 4 0 0 3 4 ,0 7 6 8 5 1 ,9 0 0 COUNTY CHANGE MEN'S SALES Q2toQ3 BOY'S REVENUES PERCENT CHANGE TOTAL TOTAL MEN'S SALES OF TOTAL CAPITA OF TOTAL 03toQ 4 SALES PER SALES BOY'S REVENUES CLOTHING SALES REVENUES SALES TAX TAX SALES PERCENT YEAR TAX 1983 1983 1983(4) MISSAUKEE MONROE MONTCALM ERR 1 0 .SX CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL 8 3 (1 )T 0 SOY'S REVENUES PERCENT CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR SALES TAX 0 0 O.OX SO.OO ERR ERR 8 ,9 5 6 2 2 3 ,9 0 0 0.3X $ 1 .6 6 2 6 . IX -4 .9 X 1 9 8 4 (2 ) 0 0 0 0 O.OX SO.OO ERR 3 4 ,3 3 1 8 5 8 ,2 7 5 6 ,5 0 2 162 ,5 5 0 0.3X S I . 21 19.4X 0 0 O.OX SO.OO ERR 0 0 0 0 O.OX SO.OO O.OX 398 9 ,9 5 0 O.OX S I . 33 20.9X -4 0 .9 X 1 ,9 0 2 * 7 ,5 5 0 223 5 ,5 7 5 O.OX SO.74 12.7X MUSKEGON 11.0X 3 6 ,2 9 9 9 0 7 ,4 7 5 1.0X S 5 .7 6 36.4X 65.5X 9 9 ,7 6 2 2 ,4 9 4 ,0 5 0 2 2 ,1 0 0 5 5 2 ,5 0 0 1.1X S3.51 NEWAYGO 2 4 .2X 1 7 ,722 4 4 3 ,0 5 0 0.5X S 1 2 .6 9 38.4X 59.4X 4 6 , IBS 1 ,1 5 4 ,6 2 5 8 ,6 2 6 2 1 5 ,6 5 0 O.AX S 6 .1 8 OAKLAND •18.0X 8 3 6 ,1 4 5 2 0 .9 0 3 .6 2 5 2 3 . 7X S 2 0 .6 6 3 5 .SX 7 6 .6 X 2 ,3 3 4 ,2 7 1 5 8 ,3 5 6 ,7 7 5 24.7X $ 1 1 .8 5 ERR ERR 4 7 9 ,6 4 7 1 1 ,9 9 1 .1 7 5 ERR -1 2 .5 X ERR 0 2 1 1 ,1 5 0 0 0 495 12,3 7 5 19.5X 1.5X 2 5 ,0 4 5 6 2 6 ,1 2 5 1 7 .SX 2.8X 9 ,9 2 7 2 4 8 ,1 7 5 2 0 .OX 7.2X ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR OGEMAW 1.7X 2 ,3 5 4 5 8 ,0 5 0 0.1X S 3 .SB 3 6 . IX 5 3 .OX 6 ,5 2 1 163,025 976 2 4 ,4 0 0 0.1 X SI .4 8 16.9X o.ax 2 ,7 1 5 6 7 .8 7 5 0.1X S 6 .8 8 3 3 .6X 28.9X 8 .0 7 4 2 0 1 ,8 5 0 1.4 1 5 3 5 ,3 7 5 0.1X S 3 .5 9 16.6X •100.0X 0 0 O.OX SO.OO O.OX ERR 1 ,1 6 2 2 9 ,0 5 0 0 0 O.OX SO.OO ERR 0 0 O.OX SO .O O ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR OSCEOLA 0 8 ,4 4 6 -1 8 .9 X OCEANA ONTONAGON CLOTHING 1 9 8 4 (1 ) 21 .OX MONTM. 8 4 (1 ) ERR 5 7 1 ,8 4 7 1 4 ,2 9 6 ,1 7 5 0 -1 2 .4 X 0 1 ,4 7 5 3 6 ,8 7 5 21 . ex 2 ,0 4 9 S 1.22S •100.0X 0 0 0 0 OSCOOA ERR OTSEGO 4 7 .BX 2 .4 0 7 6 0 ,1 7 5 0.1X S4.01 3 5 .6X 27.2X 6 ,7 6 5 169,125 1 ,1 8 0 2 9 .5 0 0 0.1X S I .9 7 17.0X -0 .3 X 1 ,4 7 3 3 6 ,8 2 5 OTTAWA 20.2X * 9 ,741 1 ,2 4 3 ,5 2 5 1.4X S7.91 3 2 .BX 29.2X 1 5 1 ,7 4 9 3 ,7 9 3 ,7 2 5 3 2 ,3 5 6 8 0 8 ,9 0 0 1.7X S 5 .1 5 22.2X 2 9 ,8 8 5 7*7,125 1 ,5 7 2 3 9 ,3 0 0 PRES. IS . 3 6 . JX 2 ,2 5 9 5 6 ,4 7 5 0.1X S 3 .9 6 3 4 .6X 30.ax 6 ,5 3 1 163,275 1 ,2 2 9 3 0 ,7 2 5 0.1X S 2 .1 5 17.6X 2.8X -3 .8 X ROSCOMMON 3 0 .SX 5 ,6 7 2 141,800 0.2X S 8 .6 6 35.2X 1 4 .6X 1 6 ,1 0 6 4 0 2 ,6 5 0 1 ,4 9 0 3 7 ,2 5 0 0.1X S 2 .2 7 1 2 .IX -11.8% 2 ,9 3 0 7 3 ,2 5 0 SAGINAW - 5 . IX 9 5 ,3 0 9 2 ,3 8 2 ,7 2 5 2.7X S 10.4S 36.2X 7 9 .6X 2 6 3 ,5 1 4 6 ,5 8 7 ,8 5 0 5 6 ,7 6 3 1 ,4 1 9 ,0 7 5 2.9X S 6 .2 2 20.7X -4 .2 X 6 3 ,5 5 6 1 ,5 8 8 ,9 0 0 ST. CLAIR 3.7X 2 8 ,9 7 5 724,375 0.6X S S .2 2 39.5X 84.2X 7 3 .3 0 7 1 ,8 3 2 ,6 7 5 1 3 ,802 3 4 5 ,0 5 0 0.7 X 1 2 .4 9 2 2 .OX 2.8X 1 5 ,0 2 3 3 7 5 ,5 7 5 ST.JOSEPH 9.9X 7 ,0 6 7 176,675 0.2X S 3 .1 5 3 1 .9X 27.6X 2 2 ,1 6 3 554 ,0 7 5 3 ,9 4 0 9 8 ,5 0 0 0.2X S I .7 6 2 0 . OX -12.7% 4 ,4 7 3 111 ,8 2 5 SANILAC ERR 724 18,100 O.OX SO.44 9 3 .8 X 1408.3X 772 19,3 0 0 198 4 ,9 5 0 O.OX S O .12 13.6X ERR 330 8 ,2 5 0 SCHCRFT. ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 9 ,3 9 9 2 3 4 ,975 0.3X S 3 .3 0 36.7X 171.2X 2 5 ,6 4 5 6 4 1 ,1 2 5 4 ,7 9 9 1 19,975 0.2X SI .6 9 2 3 . IX 4 ,6 5 2 116,3 0 0 5 9 ,5 2 5 SHIAWASSE -47.3X -2 2 .6 X a.sx 4 ,1 9 4 104,850 0.1X S I .8 4 4 2 .JX 8 4 . BX 9 ,9 0 6 2 4 7 ,6 5 0 1 ,6 6 2 4 1 ,5 5 0 0.1X SO.73 15 .*X 22.9% 2 ,381 VAN SUREN 7 5 .5X 4 ,2 6 4 106,600 0.1X SI .6 0 29.7X S.OX 1 4 ,3 6 2 3 5 9 ,0 5 0 2 ,7 0 0 6 7 ,5 0 0 0.1X S I . 01 1 9 .IX -2 7 .5 X 3 ,1 3 3 7 8 ,3 2 5 WASHTENAW 1.0X 1 2 6 ,768 3 ,1 6 9 ,2 0 0 3.6X S 11 .9 7 4 1 . IX 102.6X 3 0 8 ,3 3 3 7 ,7 0 8 ,3 2 5 54,5 0 1 1 ,3 6 2 ,5 2 5 2.8X S S.15 23.4X -4 .5 X 5 3 ,5 8 6 1 ,3 3 9 ,6 5 0 TUSCOLA WAYNE -10.5X WEXFORD 11.4X OUT/STATE 1S.4X 7 0 2 ,0 6 7 1 7 ,5 5 1 ,6 7 5 1 4 ,3 5 7 3 5 8 ,925 4 0 6 ,5 3 2 1 0 ,1 6 3 ,3 0 0 19.9X S 7.51 36.4X 72.4X1,,9 2 6 ,1 3 4 4 8 ,1 5 3 ,3 5 0 3 2 7 ,8 3 2 8 ,1 9 5 ,8 0 0 16.9X S3.51 16.6X -9 .5 X O.AX S 1 4 .3 0 33.9X 32.4X 4 2 ,3 3 2 1 ,0 5 8 ,3 0 0 7 ,4 0 7 185,175 O.AX S 7 .3 8 17.4X 0.1X 9 ,3 8 5 234 ,6 2 5 3 9 . OX 62.3X1 ,0 4 1 ,6 5 1 2 6 ,0 4 1 ,2 7 5 2 8 5 ,7 9 4 7 ,1 4 4 ,8 5 0 14.7X 1 9 .OX 70.5% 3 3 2 ,2 4 3 8 ,3 0 6 ,0 7 5 1 1 .SX 5 1 2 ,8 1 2 1 2 ,8 2 0 ,3 0 0 COUNTY CHANGE NEN'S Q2toQ3 BOY'S CHANGE TOTAL TOTAL HEN'S REVENUES OF TOTAL CAPITA OF TOTAL Q 3to04 SALES SALES PERCENT SALES BOY'S CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR TAX 1983 REVENUES 1983 1 9 8 3 (4 ) TOTAL COUNTY AV SALES PERCENT SALES REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 9 4 1 ,6 5 3 100.0X 36.5X S 8 .4 4 2 ,5 9 9 ,1 2 4 19,931 CLOTHING 1 9 8 4 (2 ) 6 9 .0 X 9 ,6 7 0 ,7 4 2 2 4 1 ,7 6 8 ,5 5 0 1 ,9 4 0 ,0 4 5 4 8 ,5 0 1 ,1 2 5 103 ,9 6 5 8 4 (1 ) SALES TAX 1 9 8 4 (1 ) -5 .4 X 3 ,5 3 2 ,8 2 0 8 8 ,3 2 0 .5 0 0 3 7 ,6 6 6 CHANGE HEN'S REVENUES OF TOTAL CAPITA OF TOTAL B3(1)TO BOY'S 4 9 8 ,2 6 8 100.0X 18.7X S 4 .4 7 5 .5 X 2 ,4 4 7 ,7 6 1 6 1 ,1 9 4 ,0 2 5 2 5 ,4 8 8 6 3 7 ,2 0 4 312 COUNTY PERCENT PER PERCENT CHANGE MEN'S SALES PERCENT PER PERCENT CHANGE MEN'S SALES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL B3(2)TO BOY'S REVENUES OF TOTAL CAPITAOF TOTAL B3(3)TO BOY'S REVENUES OF TOTALCAPITAOF TOTAL83(4)10 SALES SALES YEAR 84(2) CLOTHING SALES SALES YEAR 84(3) CLOTHING SALES SALES YEAR 84(4) TAX TAX SALES TAX SALES TAX TAX 1984(3) 1984(4) O.OX ro.oo O.OX $0.00 ALCONA ERR ERR 0 0 ERR ERR 0 0 O.OX $0.00 ERR ERR ALGER O.OX SO.OO ERR ERR 0 O.OX $0.00 0 ERR ERR 0 O.OX SO.OO 0 ERR ERR 0.3X $2.18 22.2X 2.4X 10,662 266,550 ALLEGAN 0.5X $3.27 33.3X 6.1X 9,130 228,250 O.A $2.80 28.5X 12.A ALPENA 0.1X S2.27 20. IX -9.3X 3,299 0.1X $2.55 22.6X -3.1X 5,825 145,625 82,475 O.A $4.51 39.A -5. A O.OX $0.26 49.8X -62.9X ANTRIM 0 O.OX $0.00 0 O.OX -TOO.OX 0 O.OX SO.OO 0 O.A -100.A ARENAC o.tx $2.45 21.9X -2.4X 1,634 0.1X $2.78 24.9X 46.2X 2,033 40,850 0.1X $3.46 30.A -2.A 50,825 O.OX $0.00 O.OX $0.00 BARAGA ERR ERR 0 0 ERR ERR 0 0 O.OX $0.00 ERR ERR O.TX $0.86 20.5X ERR BARRY 1,680 42,000 0.1X $0.92 21.8X ERR 3,068 76,700 0.1X $1.68 39.A 149.4X O.OX $0.24 21.7X -66. IX 914 O.OX $0.19 16.9X -79.9X 1,599 BAY 22,850 O.OX $0.33 29.6X -80. A 39,975 0.1X S4.38 23.8X 16.4X 2,634 BENZIE 65,850 0.1X $5.88 32.OX -23.3X 2,216 55,400 0.1X $4.94 26.A -3.A T.3X $4.78 23.OX -19.3X 32,109 802,725 BERRIEN 1.4X $4.69 22.6X -14.A 49,923 1,248,075 1.4X $7.29 35.1X -15.A 0.2X $2.70 23.4X -21.6X 4,595 114,875 0.2X $2.86 24.ex 17.OX 6,422 160,550 BRANCH O.A $3.99 34.6X -28. A O.TX $0.63 21. IX -21.IX 4,056 101,400 0.2X $0.72 24. IX -10.0X 5,979 149,475 CALHOUN O.A $1.06 35.5X -10.3X O.OX $0.60 17.2X -52.4X 1,723 0.1X $0.87 25.1X -45.3X 2,478 CASS 43,075 0.1X $1.25 36.A -44.3X 61,950 O.OX SO.OO ERR O.OX $0.00 CHARLVX. ERR 0 0 ERR 0 ERR 0 O.A $0.00 ERR ERR 0.1X $3.15 29.2X 72.3X 3,166 CHEBOYGAN 0.1X $1.92 17.8X -2.4X 2,604 65,100 0.1X $3.83 3S.5X 13. IX 79,150 O.TX $2.35 22.BX -0.5X 2,663 0.1X $2.29 22.3X •14.A 4,305 107,625 CHIPPEUA 66,575 0.1X $3.71 36.A 3.A O.TX $3.64 23.IX 21.OX 3,677 0.2X $3.86 24.4X 3.IX 5,032 125,800 CLARE 91,925 0.1X $5.28 33.5X -10.4X O.OX SO.OO O.OX $0.00 CLINTON ERR ERR 0 0 0 O.A $0.00 ERR ERR 0 ERR ERR CRAWFORD O.OX $0.00 ERR ERR 0 0 O.OX $0.00 ERR 0 ERR 0 O.A $0.00 ERR ERR 0.2X $2.40 15.4X 11.OX 5,282 132,050 0.2X $3.39 2i.n 21.IX 12,149 303,725 0.3X $7.80 49.A 46. IX DELTA 0.4X $8.99 22.BX 3.IX 13,784 344,600 DICKINSON O.AX $9.20 23.4X 21.6X 9,110 227,750 0.4X $13.60 34.6X 110.A EATON 0.2X $1.23 17.5X -56.5X 4,986 124,650 0.2X $1.41 20.IX -35. A 11,954 298,850 0.3X $3.38 48.A -16. A EMMET O.OX $0.00 797 O.OX $0.87 49.5X -B2.3X 811 O.OX $0.88 S0.4X ERR 0.1X ERR 19,925 20,275 3.IX $3.98 20. IX -1.0X 124,126 3,103,150 GENESSE 3.6X $4.86 24.5% 6.OX 71,705 1,792,625 3.4X $6.89 34. A -3.A O.OX $0.00 O.OX $0.00 GLADWIN ERR ERR 0 0 ERR ERR 0 0 O.A $0.00 ERR ERR O.OX $0.00 O.OX $0.00 GOGEBIC O.OX -100.0X 0 0 O.OX-100.OX 522 13,050 O.A $0.66 49.A -87. A O.A $7.74 1B.6X 1.6X 32,363 809,075 1.4X $14.74 3S.4X 29.5X 27,176 679,400 O.A $12.38 29.8X -3.3X CR. TRAV. TOTAL SALES TAX 1984 0 0 31,993 14,594 333 6,574 0 7,718 5,396 8,240 142,363 18,553 16,829 6,874 0 8,926 11,963 15,041 0 0 24,364 39,891 24,777 1,609 357,570 0 1,066 91,344 TOTAL SALES REVENUES 1984 0 0 799,825 364,850 8,325 164,350 0 192,950 134,900 206,000 3.559,075 463,825 420.72S 171,850 0 223,150 299,075 376,025 0 0 609,100 997,275 619,425 40,225 8,939,250 0 26,650 2,283,600 COUNTY PERCENT PER CHANGE MEN'S PERCENT OF TOTAL CAPITA OF TOTAL 6 3 (2 )T 0 BOT'S SALES SALES YEAR 8 4 (2 ) TAX PERCENT PER PERCENT CHANGE HEN'S OF TOTAL CAPITA OF TOTAL 83<3)T0 BOY'S SALES REVENUES CLOTHING SALES SALES TAX 198 4 (3 ) TAX SALES YEAR 8 4 (3 ) SALES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 8 3 (4 )T 0 TOTAL TOTAL BALES SALES CLOTHING SALES TAX REVENUES SALES TAX TAX REVENUES SALES YEAR 8 4 (4 ) 1984 1984 1 9 8 4 (4 ) GRATOIT O .IX SI .81 2 4 .2X -2 .6 X 2 ,2 5 6 5 6 .4 0 0 O.IX 8 1 .3 9 18.6X -1 9 .8 X 4 ,8 5 4 121,3 5 0 O .IX 8 3 .0 0 4 0 .OX -1 9 .0 X 1 2 ,1 4 2 HILLSDALE O.TX 8 1 .9 4 19.4X -13.5X 4 ,8 5 8 1 2 1 ,4 5 0 0.2X 8 2 .8 9 2 8 .BX 7 . IX 4 ,8 2 3 1 20,575 0.1X 8 2 .8 7 28.6X -2 3 .9 X 1 6 .8 5 6 4 2 1 ,4 0 0 HOUGHTON O .IX 8 1 .4 6 2 4 .9X 5.3X 2 ,5 1 6 6 2 ,9 0 0 O.IX 8 1 .6 6 2B.3X 1.9X 2 ,1 1 0 5 2 ,7 5 0 O .IX 8 1 .3 9 2 3 .SX -3 .6 X 8 ,8 7 8 221 ,9 5 0 HURON 0.1X 8 2 .2 1 24.2X -1 .4 X 3 ,3 0 7 8 2 .6 7 5 O .IX 8 2 .2 7 2 4 .9X 2.8X 4 ,6 2 7 1 15,675 O .IX 8 3 .1 7 3 4 .BX 3 .7 X 1 3 ,2 7 7 331 ,9 2 5 INGHAM 2.6X 8 5 .BS 23.5X 8.8X 5 8 ,8 9 3 1 ,4 7 2 ,3 2 5 2 .6X 8 5 .3 4 2 1 .4X 1.0X 9 5 ,631 2 ,3 9 0 ,7 7 5 2.6X 8 8 .6 8 34.8X 1.0X 274 ,6 5 1 6 ,8 6 6 ,2 7 5 2 ,2 6 6 5 6 ,6 5 0 0 .1X 8 1 .0 9 22.2X -8 .3 X 3 ,3 8 8 8 4 ,7 0 0 O .IX 8 1 .6 3 3 3 . IX -1 0 .0 X 1 0 ,2 2 4 2 55 ,6 0 0 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR ERR 2 ,1 6 0 5 4 ,0 0 0 O .IX 8 3 .9 6 2 4 .OX • 2 . IX 3 ,3 4 3 8 3 ,5 7 5 0.1X 8 6 .1 3 3 7 . IX -0 .2 X 3 0 3 ,5 5 0 IONIA O .IX 8 1 .1 3 2 3 .OX -9 .5 X IOSCO O.OX 8 0 .0 0 ERR ERR IRON O .IX 8 1 .5 8 21.7X 2 . OX ISABELLA O.ZX 8 2 .8 1 2 3 .6X 2 1 .5X 6 ,1 0 8 1 5 2 ,7 0 0 O .IX 8 2 .8 2 23.6X 3 9 .OX 9 ,2 1 4 2 3 0 ,3 5 0 0 .2 X 8 4 .2 6 35.7% 4.2 X 2 5 ,8 3 4 6 4 5 ,8 5 0 JACKSON O.OX 8 3 .7 8 2 I.7 X -5 .3 X 2 0 ,4 3 5 5 1 0 ,8 7 5 0 .9X 8 3 .3 7 21.2X -7 .4 X 3 4 ,2 0 6 8 5 5 ,1 5 0 0.9X 8 5 .6 4 35.4X -8 .5 X 9 6 ,5 9 1 2 .4 1 4 ,7 7 5 142,833 3 ,5 7 0 ,8 2 5 6.1X 8 1 6.81 25.9X 2 9 .BX 185,025 4 ,6 2 5 ,6 2 5 5 . OX 8 2 1 .7 8 33.5X 15.2X 5 5 2 ,3 0 7 1 3 ,8 0 7 ,6 7 5 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR ERR 8 5 ,5 8 9 2 ,1 3 9 ,7 2 5 3.8X 8 4 .8 1 22.2X 2.3X 1 4 0 ,5 4 9 3 ,5 1 3 .7 2 5 3.8X 8 7 .9 0 36.5X 1B.6X 0 0 9 ,0 0 6 2 2S .150 KALAMAZOO 4.7X 8 1 3 .5 2 20 . ex 1 6 .IX KALKASKA O.OX 8 0 .0 0 ERR ERR KENT 3.6X 8 4 .9 7 2 2 .9X 0.6X KEUEENAU O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR LAKE O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR LAPEER O .IX 8 0 .9 6 2 0 . IX 14.6X 2 ,9 8 9 7 4 ,7 2 5 O .IX 8 1 .0 7 22.4X 2 4 . IX 5 ,6 1 9 140,475 0 .2 X 8 2 .0 1 42.2X 22.4X LEELANAU O.OX 8 0 .0 0 ERR 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 LENAUEE O .IX 8 2 .1 2 1S.BX -1 1 .9 X 7 ,8 3 9 195,975 O .IX 8 2 .1 8 19.3X -5 .4 X 1 6 ,5 9 6 4 1 4 ,9 0 0 O.AX 8 4 .6 1 4Q.9X 9 .6 X 4 0 ,5 3 0 1 ,0 1 3 ,2 5 0 LIV. O .IX 8 0 .9 0 23.7X 4.4X 2 ,6 4 3 6 6 ,0 7 5 O.IX 8 0 .6 6 17 .IX -1 3 .5 X 6 ,4 9 8 162,450 0.2X 8 1 .6 2 42.6X 11.2% 15 ,2 6 3 381,5 7 5 LUCE O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 MACKINAC O.OX 8 0 .5 4 1 3 .IX 8.4X 1 ,404 3 5 ,1 0 0 O .IX 8 3 .4 5 8 4 .2X 162.4X 45 1,1 2 5 O.OX 8 0 .1 1 2.7X ERR 1 ,6 6 8 4 1 ,7 0 0 MACOMB 9.2X 8 8 .0 9 25.7X 30.6X 196,715 4 ,9 1 7 ,8 7 5 8.6X 8 7 .0 8 22.5X 40.9X 3 2 0 ,6 5 6 8 ,0 1 6 ,4 0 0 8.7X 8 1 1 .5 4 16.7X 5.4X 8 7 4 ,2 1 3 MANISTEE MARQUETTE 0.2X 8 4 .8 6 23.7X 13.2X 5 ,0 2 1 125,525 0.2X 8 5 .4 5 26.6X -2 .2 X 6 ,1 3 5 153,375 0.2X 8 6 .6 6 3 2 .SX 1.2X 1 8 ,8 7 8 O.OX 8 0 .4 1 26.3X 2 7 .OX 1 ,044 2 6 ,1 0 0 O.OX 8 0 .3 5 22.7X 2 0 .7X 1 ,6 0 8 4 0 ,2 0 0 O.OX 8 0 .5 4 34.9X 5.8X 4 ,6 0 7 115,175 MASON O .IX 8 7 .1 8 23.5X 20.8X 9 ,3 7 1 2 3 4 ,2 7 5 0.4X 8 8 .8 9 2 9 . IX 16.9X 1 0 ,8 2 9 270 ,7 2 5 O.IX 8 1 0 .2 7 33.6% 6.8 X 3 2 ,2 5 4 8 0 6 ,3 5 0 6 ,4 9 4 162,1 5 0 0.3X 8 4 .3 9 29.3X 5.7X 7 ,0 3 3 175,825 0.2X 8 4 .7 6 31.7X -2 .6 X 2 2 ,1 7 3 554,3 2 5 0 0 O.OX 8 0 .0 0 ERR ERR 0 0 O.OX 8 0 .0 0 ERR ERR 3 5 ,1 4 3 8 7 8 ,5 7 5 22.4X 11.9X 5 4 ,2 7 4 1 ,3 5 6 ,8 5 0 34.6X ■ 3.OX ERR MECOSTA O.ZX 8 2 .8 8 19.2X -9 .6 X MENOMINEE O.OX 8 0 .0 0 ERR ERR MIDLAND 1.4X 8 1 1 .5 8 21.7X 26.3X 1.5X 8 1 1 .9 4 ERR 1.5X 8 1 8 .4 4 0 0 3 8 5 ,5 1 3 9 ,6 3 7 ,8 2 5 ERR 0 0 ERR 0 0 1 3 ,3 2 3 333,0 7 5 2 1 ,8 5 5 ,3 * 5 “'® ' 4 7 1 ,9 5 0 0 0 1 5 6 ,8 7 8 3 ,9 2 1 ,9 5 0 COUNTY CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL B3(2)TO BOY'S PERCENT REVENUES SALES PER SALES PERCENT YEAR 8A (2) PERCENT PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(A )T0 SALES SALES CLOTHING SALES TAX REVENUES SALES TAX TAX CHANGE MEN'S SALES REVENUES CLOTHING SALES SALES TAX TAX TAX PER OF TOTAL CAPITA OF TOTAL 83(3)TO BOY'S SALES YEAR 8A (3) 19 8 6 (3 ) PERCENT PER SALES PERCENT YEAR 8 6 (6 ) TOTAL 198A 1986 198A(A) MISSAUKEE O.OX SO.OO ERR ERR NONROE 0.3X S t . 57 2 5 .IX -0 .9 X 0 0 O.OX $ 0 .0 0 ERR 6,91A 1 7 2 ,8 5 0 0.3X $ 1 .2 8 20.6X MONTCALM O.OX SO.OO O.OX ERR 119 2 ,9 7 5 MONTH. O.OX S t .65 28.2X -1 1 .0 X 695 17,3 7 5 O.OX $ 0 .0 6 100.0X ERR 0 0 O.OX SO.OO O.OX 119 2 ,9 7 5 O.OX $ 2 .3 2 39.5X 3.3 X 3A5 8 ,6 2 5 O.OX $ 1 .1 5 19.6X -1 3 .3 X 1 ,7 5 8 6 3 ,9 5 0 1.1X 2 ,8 3 9 ,7 5 0 ERR -2 6 .6 X 0 0 O.OX $ 0 .0 0 ERR ERR 11.73A 2 9 3 ,3 5 0 0.3X $ 2 .1 8 J 6 .9 X 3 1 .OX ERR 0 0 3 3 ,5 9 6 8 3 9 ,9 0 0 MUSKEGON I.OX $ 3 .9 7 2 2 .OX 26.8X 2A.99A 62A .850 1 .IX $ 3 .9 7 2 2 .OX 1A.0X A1.A51 1 ,0 3 6 ,2 7 5 $ 6 .5 8 36.5X 1A.2X 1 1 3 ,5 9 0 NEWAYGO O.AX S 7.11 20.5X 10.9X 1 2 ,072 3 0 1 ,8 0 0 0.5X S8.6A 2A.9X 8.6X 17,8 0 5 AA5.12S 0.5X $ 1 2 .7 5 36.8X 0.5 X 6 8 ,6 3 0 1 ,2 1 0 ,7 5 0 2 3 .AX S1A.13 2 3 .8X -0 .9 X 20.9X $ 1 1 .7 7 19.8X 0 .6X 8 7 3 ,7 0 6 2 1 ,8 A 2 ,6 5 0 23.7X $ 2 1 .5 9 3 6 .AX A.5X 2 ,6 0 1 ,3 5 9 6 0 ,0 3 3 ,9 7 5 OAKLAND A 76.159 1 1 ,9 0 3 ,9 7 5 OCEANA O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR 0 0 O.OX $ 0 .0 0 ERR OGEMAW O .IX S2.2A 25.5X -2 .6 X 1 ,323 3 3 ,0 7 5 O .IX $ 2 .0 1 22 . ex •1A.0X 2 ,0 1 7 50.A2S O .IX $ 3 .0 7 3 6 .8X ONTONAGON O .IX S 5 .1 9 2A.1X -2 .0 X 2 ,1 0 8 5 2 ,7 0 0 O .IX SS.3A 2A.8X O.OX 2 ,9 2 8 7 3 ,2 0 0 O.IX S7.A2 OSCEOLA O.OX SO.OO ERR - 1 0 0 .OX 0 0 O.OX $ 0 .0 0 ERR ERR 0 9 O.OX $ 0 .0 0 OSCOOA O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX OTSEGO O .IX $ 2 .6 6 2 1 .2X 1 5 .OX 1.95A A 8.850 O .IX $ 3 .2 6 2 8 . IX 3.2X 2,3A5 5 8 ,6 2 5 ERR 0 0 •1A.3X ERR 5 ,7 9 1 166 ,7 7 5 3 6 .AX 7.8X 8 ,5 0 0 2 1 2 ,5 0 0 ERR ERR 0 0 $ 0 .0 0 ERR ERR 0 0 O.IX $ 3 .9 1 33.7X -2 .6 X 6 ,9 5 2 173 ,8 0 0 165,611 3 ,6 6 0 ,2 7 5 OTTAWA I.2 X SA.75 20.5X -6 .7 X 3 7 ,9 2 9 9X 8,225 1.7X $ 6 .0 3 2 6 .OX -1 .5 X A5.AA1 1 ,1 3 6 ,0 2 5 1.2X $ 7 .2 3 3 1 . 2X -8 .6 X PRES. IS . O .IX $ 2 .7 5 2 2 .SX 2A.1X 1 ,5 7 7 39.A2S O .IX $ 2 .7 6 2 2 .6X -8 .7 X 2 ,6 0 6 6 5 ,1 5 0 O .IX SA.57 37.3X 1 5 .AX 6 ,9 8 6 176,600 ROSCOMMON O .IX SA.A7 23.7X - 22 .ax A,05A 1 0 1 ,3 5 0 0.2X $ 6 .1 9 3 2 .9X •18.1X 3.86A 9 6 ,6 0 0 O .IX $ 5 .9 0 31.3X - 3 1 .9X 1 2 ,3 3 8 3 0 8 ,6 5 0 SAGINAW 2.6X $ 6 .9 7 2 3 .2X 13.7X 5 2 ,6 9 2 1 ,3 1 7 ,3 0 0 2.3X $ 5 .7 8 19.2X -0 .7 X 1 0 0 ,8 3 7 2 ,5 2 0 ,9 2 5 2.7X $ 1 1 .0 5 36.8X 5.8X 2 7 3 ,8 6 8 6 ,8 6 6 ,2 0 0 ST. CLAIR 0.6X S 2 .7 I 23.9X -I.O X 11,011 2 7 5 ,2 7 5 0.5X $ 1 .9 8 17.5X - 3 0 .OX 23 ,001 5 7 5 ,0 2 5 0.6X SA.1A 36.6X -2 0 .6 X 6 2 ,8 3 7 1 ,5 7 0 ,9 2 5 ST.JOSEPH 0.2X S t .9 9 2 2 .7X - 1 1 .3X 5 ,0 9 5 127,375 0.2X $ 2 .2 7 2S.9X - 8 . OX 6,19A 15A.6S0 0.2X $ 2 .7 6 31 .AX -12.AX 1 9 ,7 0 2 6 9 2 ,5 5 0 SANILAC O.OX $ 0 .2 0 22.7X ERR 279 6 ,9 7 5 O.OX $ 0 .1 7 19.2X A81.3X 6A7 16,175 O.OX $ 0 .6 0 AA.5X -1 0 .6 X 1 ,6 5 6 3 6 ,3 5 0 SCHCRFT. O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR SHIAWASSE 0.2X $ 1 .6 3 2 2 . AX 3 ,5 9 0 8 9 ,7 5 0 0.2X $ 1 .2 6 17.2X 3.6X 7 ,7 7 2 19A.300 0.2X $ 2 .7 3 37.3X -29.3X ERR -1 7 .3 X 0 0 2 0 ,8 1 3 5 2 0 ,3 2 5 269,8 2 5 TUSCOLA o.tx $ 1 .0 5 2 2 . IX 13.9X 2 ,1 0 7 5 2 ,6 7 5 O .IX $ 0 .9 2 19.5X -7 .1 X A.6A3 116,075 O .IX S2.0A 6 3 .OX 10.7X 1 0 ,7 9 3 VAN BUREN O.IX $ 1 .1 7 22.2X 3 5 .AX A.A62 1 1 1 ,5 5 0 0.2X $ 1 .6 7 3 1 .6X 9.8 X 3 ,8 3 1 9 5 ,7 7 5 O.IX SI .6 3 2 7 . IX -1 0 .2 X 1 6 ,1 2 6 3 5 3 ,1 5 0 WASHTENAW 2.2X $ 5 .0 6 2 3 . IX -13.5X 60.5BA 1.51 A .6 0 0 2.7X $ 5 .7 2 2 6 . IX -3 .2 X 6 3 ,BOA 1 ,5 9 5 ,1 0 0 1.7X $ 6 .0 2 27.AX -A9.7X 2 3 2 ,6 7 5 5 ,8 1 1 ,8 7 5 A35.981 1 0 ,8 9 9 ,5 2 5 1 9 . IX SA.66 2 2 . IX 7 . IX 6 9 7 ,6 8 7 17,AA2,175 18.9X $ 7 .6 6 3S.3X -0 .6 X 1 ,9 7 6 ,3 1 2 6 9 ,3 5 7 ,8 0 0 0.5X $ 1 0 .8 9 2S.7X 0.9X O.AX $ 1 6 .7 2 36. ax 3 . OX 6 2 ,5 1 2 1 ,0 6 2 ,8 0 0 3 7 .OX 36.6X 1 ,5 0 1 ,3 2 0 3 7 ,5 3 3 ,0 0 0 WAYNE WEXFORD OUT/STATE 21 .OX S5.A8 2 6 .OX 12. ax O.AX $ 9 .3 5 2 2 .IX -3 .6 X 10,935 2 7 3 ,3 7 5 2 2 .IX 5 3 . IX 3 2 7 ,9 7 5 8 ,1 9 9 ,3 7 5 13.6X 1A.AX 21 .ex 1A.785 3 6 9 ,6 2 5 3 1 .OX 5 5 5 ,3 0 8 1 3 ,8 8 2 ,7 0 0 1 5 .OX COUNTY CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL 63(2)TO BOY'S PERCENT REVENUES SALES PER SALES PERCENT YEAR TAX 6 4 (2 ) CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL 63<3)TO BOY'S PERCENT REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 1 9 6 4 (3 ) TOTAL COUNTY AV 100.0X 23.6X S 3 .7 1 CHANGE TOTAL TOTAL OF TOTAL CAPITA OF TOTAL 63(4>TO PER SALES SALES CLOTHING SALES TAX REVENUES SALES TAX TAX SALES PERCENT YEAR 6 4 (4 ) 1984 1984 1 9 8 4 (4 ) 1 0 .8 X 2 ,2 6 0 ,9 6 6 3 7 ,0 2 4 ,6 5 0 2 3 ,5 3 0 6 4 (3 ) PERCENT 3 8 8 ,2 5 6 100.0X 22.0X S S .2 7 9 .1 X 1 ,6 9 1 ,5 1 2 9 2 ,2 8 7 ,8 0 0 3 7 ,7 8 6 9 4 4 ,6 4 0 100.0X 35 .6 X S 8 .4 7 4 .3 X 1 0 ,3 6 0 ,3 0 4 2 3 9 ,0 0 7 ,6 0 0 1 0 6 ,7 3 3 2 ,6 6 8 ,3 6 9 to i— ' CT> COUNTY MEN'S SALES BOY'S REVENUES CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL 84(1)T O BOY'S REVENUES PERCENT CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 8 5 (1 ) PERCENT CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL B4(2)TO BOY'S REVENUES CLOTHING SALES SALES TAX TAX 1985(1) PER SALES PERCENT YEAR 8 5 (2 ) PERCENT CLOTHING SALES SALES TAX TAX 1 9 8 5 (2 ) PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 84(3)TO SALES YEAR 8 5 (3 ) 1 9 8 5 (3 ) ALCONA 0 0 O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR ALGER 0 0 O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR ALLEGAN 5 ,1 2 2 128,050 0.3X $ 1 .5 7 16.3X 0.7X 7 ,2 2 5 180,625 O.IX $ 2 .2 1 2 3 .OX 1.6X 1 1 ,1 0 2 2 7 7 ,5 5 0 0.5X $ 3 .4 0 35.3X 4 . IX ALPENA 2 ,1 5 6 5 8 ,9 0 0 O .IX S 1 .8 2 19.6X -7 .3 X 2 ,4 3 1 6 0 ,8 2 5 O.IX $ 1 .8 8 2 0 .2X -1 6 .9 X 2 ,7 0 0 6 7 ,5 0 0 O.IX $ 2 .0 9 22.4X -1 8 .2 X - 1 0 0 .OX ANTRIM 0 0 O.OX SO.OO ERR - 1 0 0 .OX 0 0 O.OX $ 0 .0 0 ERR ARENAC 1,135 2 8 ,3 7 5 O .IX $ 1 .9 3 17.6X -2 2 .6 X 1 ,4 3 3 3 5 ,6 2 5 O .IX $ 2 .4 4 22.2X -0 .5 X SARAGA 0 0 O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 1 ,3 8 7 3 4 ,6 7 5 O.IX SO.76 18.3X O .IX 1 ,8 5 3 4 6 ,3 2 5 O.IX $ 1 .0 1 2 4 .5X 1 7 .OX BARRY 0 0 O.OX $ 0 .0 0 ERR ERR 1 ,7 5 2 4 3 ,8 0 0 O .IX $ 2 .9 8 2 7 . 1X 7.2X 0 0 O.OX $ 0 .0 0 ERR 1,781 4 4 ,5 2 5 O.IX $ 0 .9 7 Z3.6X ERR 6 . OX 660 16,5 0 0 O.OX SO .14 24.9X - 6 1 .5X 654 1 6 ,3 5 0 O.OX $ 0 .1 4 24.7X - 4 4 . IX 518 1 2 ,9 5 0 O.OX $0 .1 1 19.5X -4 3 .3 X 1 ,5 3 3 3 8 ,325 O .IX S 3 .4 2 15.4% 7.3X 1 ,9 9 2 4 9 ,8 0 0 O.IX $ 4 .4 4 1.6X 4 ,0 5 9 101,475 0.2X $ 9 .0 6 40.9X 5 4 . IX BERRIEN 2 5 .8 4 8 6 4 6 ,2 0 0 1.1X S 3 .7 7 18.9X -6 .4 X 3 4 ,4 4 0 8 6 1 ,0 0 0 1.4X $ 5 .0 1 2 0 . IX 25.2% 5.3 X 2 9 ,0 1 0 7 2 5 ,2 5 0 1.2X $ 4 .2 3 21.2X -9 .7 X BRANCH 3 ,2 6 2 8 1 ,0 5 0 0.2X $ 2 .0 2 20.2X 1.2X 4 ,0 1 5 100,375 0.2X $ 2 .5 0 2 5 .OX -7 .1 X 4 ,1 3 1 103 .2 7 5 0.2X $ 2 .5 7 25.7X -1 0 .1 X CALHOUN 3 ,6 0 4 9 0 ,1 0 0 0.2X $ 0 .6 4 1 1 . 4X 1 1 . OX 3 ,6 9 9 9 2 ,4 7 5 0.2X $ 0 .6 5 32.2X 4.3X 1 ,5 2 8 3 8 ,2 0 0 O .IX $ 0 .2 7 13.3X •62.3X CASS 1 ,204 3 0 ,1 0 0 O .IX $0 .6 1 1 9 .IX -1 9 .1 X 1 ,1 2 4 3 3 .1 0 0 O .IX $ 0 .6 7 2 1 .OX i i . ex 1 ,4 2 6 3 5 ,6 5 0 0.1X $ 0 .7 2 22.6X -1 7 .2 X 154 3 ,8 5 0 O.OX $ 0 .1 9 12.4X ERR 1 ,0 8 6 2 7 ,1 5 0 O.OX $ 1 .3 6 B7.6X ERR 1 ,7 6 9 4 4 ,2 2 5 0.1X $ 2 .1 4 20.8X 11.3X 2 ,4 4 0 6 1 ,0 0 0 O .IX $ 2 .9 5 28.7X -6 .3 X BAY BENZIE CHARLVX. 0 0 O.OX $ 0 .0 0 O.OX ERR 1 ,5 9 4 3 9 ,8 5 0 O.IX $ 1 .9 3 18.7X 1.7X CHIPPEWA 1 ,7 6 5 4 4 ,1 2 5 0.1X $ 1 .5 2 17.4X - 2 2 . IX 2 ,2 1 7 5 5 ,4 2 5 O.IX $ 1 .9 1 2 1 .9X -1 8 .8 X 2 ,841 7 1 ,0 2 5 O .IX $ 2 .4 5 2 8 . IX 6 .7X CLARE 2 ,8 1 3 70,3 2 5 0.1X $ 2 .9 5 19.7% -1 .8 X 3 ,2 4 5 8 1 ,1 2 5 O .IX $ 3 .4 1 22.8X -6 .4 X 3 ,4 3 9 8 5 ,9 7 5 0.1X $ 3 .6 1 2 4 . IX -6 .5 X ERR CHEBOYGAN CLINTON 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR CRAWFORD 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR 5 ,1 6 5 129,125 Q.3X $ 3 .3 2 19.4X 61 .BX 5 ,2 2 7 130,675 0.2X $ 3 .3 6 19.7X 39.7X 4 ,5 1 2 112 ,8 0 0 0.2X $ 2 .9 0 -1 4 .6 X DELTA ERR DICKINSON 7 ,1 4 7 178,675 O.AX $ 7 .0 5 17.4X -6 .9 X 8 ,1 2 5 203 ,1 2 5 0.3X $ 8 .0 2 19.8X -12.8% 9 ,9 6 1 2 4 9 ,0 2 5 0.4% $ 9 .8 1 17.0X 24.2% EATON 5 ,9 6 6 149,150 0.3X $ 1 .6 9 18.6X 7 0 . IX 7 ,6 8 1 192,075 0.3X $ 2 .1 7 23.9X 77.5% 6 ,3 4 6 1 5 8 ,6 5 0 0.3X $ 1 .8 0 19.8X 27.3% EMMET 210 5 ,2 5 0 O.OX $ 0 .2 3 6.5X ERR GENESSE 6 9 ,8 9 4 1 ,7 4 7 ,3 5 0 1.6X $ 3 .8 8 20.2X -5 .8 X GLADWIN 0 0 O.OX $ 0 .0 0 ERR ERR GOGE8IC 294 7 ,3 5 0 O.OX $ 0 .3 7 9.9X 1 6 ,1 0 0 4 0 2 ,5 0 0 O.BX $ 7 .3 3 17.7X GR. TRAV. 671 1 6 ,775 O.OX $ 0 .7 3 20.9X 67000.0X 8 4 ,4 7 8 2 ,1 1 1 ,9 5 0 3.5X $ 4 .6 9 24.4X -3 .5 X 0 0 O.OX $ 0 .0 0 ERR - 4 6 . OX 726 1 8 ,150 O.OX $ 0 .9 2 8 .7 X 2 1 ,1 9 9 529,9 7 5 0.9X $ 9 .6 5 9 .3 X 1 ,2 4 7 3 1 ,1 7 5 O .IX $ 1 .3 6 3 8 .BX 56.5X 6 8 ,6 7 6 1 ,7 1 6 ,9 0 0 2.9X $ 3 .8 1 19.8X •4 .2 X ERR 0 0 O.OX SO.OO ERR ERR 2 4 .4X ERR 662 16,5 5 0 O.OX $ 0 .8 4 22.3X ERR 23.2X 24.7X 2 7 ,1 6 7 6 7 9 ,1 7 5 1.1X $ 1 2 .3 7 2 9 .SX - 1 6 . IX COUNTY MEN'S SALES BOT'S REVENUES CHANGE HEN'S SALES OF TOTAL CAPITA OF TOTAL 6 4 (1 )T 0 BOY'S PERCENT REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 6 5 (1 ) PERCENT PERCENT CHANGE MEN'S SALES REVENUES CLOTHING SALES SALES TAX TAX 1985(1) PER OF TOTAL CAPITA OF TOTAL 84(2)TO BOY'S SALES YEAR 8 5 (2 ) PERCENT CLOTHING SALES SALES TAX TAX 19 8 5 (2 ) PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 8 4 (3 )T 0 SALES YEAR 6 5 (3 ) 1 9 8 5 (3 ) GMTOIT 2 ,6 / 8 6 6 ,9 5 0 O .IX S I .6 6 18.9X 27.6X 3 ,0 7 9 7 6 ,9 7 5 O .IX SI .9 0 21.7X S.OX 2 ,9 4 6 7 3 ,6 5 0 O .IX S I .8 2 2 0 .BX 30.6X HILLSDALE 2 ,6 6 3 6 6 ,5 7 5 O .IX S I .5 8 14.9X -3 1 .9 X 3 ,7 3 7 9 3 ,4 2 5 0.2X S 2 .2 2 20.9X 1 4 .4X 4 ,3 8 8 1 0 9 ,7 0 0 0.2X S 2.61 -9 .7 X HOUGHTON 1 ,6 1 6 4 5 ,4 0 0 O .IX S I .2 0 21.7X -1 0 .9 X 1 ,9 3 7 4 8 ,4 2 5 O .IX S I . 28 2 3 . IX -1 2 .5 X 2 ,5 7 8 6 4 , ‘.SO O .IX S I . 70 24.5X 30.8% HURON 2 ,3 2 7 5 8 ,1 7 5 O .IX S I .6 0 15.2X 9.4 X 3 ,8 6 8 9 6 ,7 0 0 0.2X S 2 .6 5 2 5 .3X 20.3X 3 ,9 1 4 9 7 ,8 5 0 0.2 X S 2 .6 8 25.6X 16.4X 2.5X 4 1 ,6 8 6 1 ,0 4 2 ,1 5 0 2 . IX S 3 .7 8 14.5X -2 5 .1 X 6 2 ,1 0 6 1 ,5 5 2 ,6 5 0 2.6X S 5 .6 4 21.6X -3 .7 X 8 9 ,2 7 2 2 ,2 3 1 ,8 0 0 3.BX S 8 .1 0 31 .OX 51.6X IONIA 2 ,0 1 6 5 0 ,4 0 0 0.1X SO.97 9.4X -9 .3 X 5 ,7 0 7 142,675 0.2X S 2 .7 5 26.7X 143.2X 2 ,7 9 3 6 9 ,8 2 5 O .IX S 1 .3 5 1 3 .IX 23.3X IOSCO 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 1 ,3 2 8 3 8 ,2 0 0 0.1X S 2 .8 0 18.5X -1 .6 X 1 .6 4 6 4 1 ,2 0 0 O .U S 3 .0 2 2 0 .OX 1 ,9 8 9 4 9 ,7 2 5 O .IX S 3 .6 5 2 4 . IX -7 .9 X INGHAM IRON ISABELLA JACKSON KALAMAZOO KALKASKA KENT -1 5 .5 X 5,2 7 1 131,775 0.3X $ 2 .4 4 21 .OX 19.3X 5 ,7 7 5 144,375 0.2X S 2 .6 7 2 3 .OX -5 .2 X 6 ,3 0 0 157 ,5 0 0 0.3X S 2.91 2 5 . 1X 3 . IX 16,595 4 1 4 ,8 7 5 0.8X S 2 .7 4 19.7X •12.8X 1 9 ,6 9 6 4 9 7 ,4 0 0 0.8X S 3 .2 8 23.6X -1 3 .2 X 1 7 ,5 3 2 4 3 8 ,3 0 0 0.7 X S 2 .8 9 20.8% •14.2X 116,085 2 ,9 5 2 ,1 2 5 6 . OX $ 1 3 .9 0 19.9X 7.6X 1 2 4 ,5 8 6 3 ,1 1 4 ,6 5 0 5.2X $ 1 4 .6 7 2 1 .OX 8.5 X 1 5 1 ,1 0 4 3 ,7 7 7 ,6 0 0 6 .4 X $ 1 7 .7 9 2 5 .5X 5.8X 0 0 O.OX SO.OO ERR ERR 0 0 ERR ERR 0 0 O.OX SO.OO ERR ERR 15.9X O.OX SO.OO 6 0 ,6 6 9 2 ,0 2 1 ,7 2 5 4 . IX S 4 .5 5 19.4X 13.6X 9 5 ,7 0 5 2 ,3 9 2 ,6 2 5 2 3 .OX 8.3X 9 9 ,1 7 0 2 ,4 7 9 ,2 5 0 4 .2 X S 5 .5 8 23.8% KEWEENAU 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR LAKE 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 2 ,6 2 9 6 5 ,7 2 5 O .IX SO.94 20.7X 2 9 .i t 2 ,3 1 0 5 7 ,7 5 0 O.IX SO.82 18.2E 2 ,8 5 4 7 1 ,3 5 0 O .IX S I . 02 22.5X -4 .5 X 0 0 O.OX SO.OO O.OX 0 0 O.OX SO.OO O.OX ERR 0 0 O.OX SO.OO O.OX LENAWEE 7 ,2 8 0 162,000 0.4X $ 2 .0 2 25.4X • 1 4 . IX 9 ,6 2 4 2 4 0 ,6 0 0 0.4X S 2 .6 7 3 3 .SX 26.3X 1 0 ,6 0 3 2 6 5 ,0 7 5 O.AX S 2 .9 5 37.0X 35.3X LIV. 2 ,5 2 6 6 3 ,2 0 0 O.IX SO.63 14.4X 0.8X 4 ,6 6 4 116,6 0 0 0.2X S I . 16 26.5X 2 9 .OX 3 ,5 1 5 8 7 ,8 7 5 O .IX SO.88 2 0 .OX 33.0X LUCE 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR MACKINAC 0 0 O.OX SO.OO O.OX ERR 242 6 ,0 5 0 O.OX SO.59 1 6 .OX 10.SX 1 ,2 6 7 3 1 .6 7 5 O .IX S3.11 8 4 . OX •9 .8 X 1 5 2,793 3 ,6 1 9 ,8 2 5 7.8X S 5 .5 0 19.9X 1S.8X 180,605 4 ,5 2 0 ,1 2 5 7.6X S6.51 23.6X -1 9 .6 X 163,491 4 ,0 8 7 ,2 7 5 6 .9 X S 5 .8 8 2 1 .3X -16.9% 3 ,6 9 9 9 2 ,4 7 5 0.2X S 4 .0 2 19.6X 13.9X 4 ,1 5 8 103,950 0.2X S 4 .5 2 22.3X -7 .1 X 4 ,8 2 5 120,625 0.2X 4 5 .2 4 2S.9X -3 .9 X 623 2 0 ,5 7 5 O.OX SO.28 19.4X 10. ex 1 ,2 9 6 3 2 .4 0 0 O .IX SO.44 30.5X 6.9X 786 1 9 ,6 5 0 O.OX SO.27 18.5X -24.7% LAPEER LEELANAU MACOMB MANISTEE MAROUETTE ERR 4 . OX S 5 .3 8 -1 3 .9 X ERR MASON 6 ,1 7 3 154,325 0.3X SS.8S 20.5X 37.8X 6 ,5 1 0 162,750 0.3X S 6 .1 7 2 1 .6X • 1 4 .OX 8 ,0 9 0 2 0 2 ,2 5 0 0.3X S 7 .6 7 26.8X -13.7% MECOSTA 4 ,5 1 5 112,675 0.2X S 3 .0 5 19.8X 3 . OX 7 ,5 8 7 189,675 0.3X S 5 .1 3 33.3X 7 8 .OX 4 ,4 3 7 110,925 0.2 X S 3 .0 0 19.5X - 3 1 . 7X 0 0 O.OX SO.OO ERR 0 O.OX SO.OO 0 0 O.OX ERR 3 3 ,3 9 8 6 3 4 ,9 5 0 3 3 ,2 3 4 8 3 0 ,8 5 0 SO.OO 1.4X $ 1 1 .2 9 ERR 6 3 9 ,1 2 5 ERR 0.5X 0 3 3 ,5 6 5 22.6X •5 .4 X MENOMINEE MIDLANO 1.7X $ 1 1 .4 0 22.8X 1.4X $ 1 1 .3 5 ERR ERR 22.7X • 2 . OX COUNTY MEN'S SOY'S CLOTHING SALES TAX 1985(1) MISSAUKEE 0 MONROE 6,686 MONTCALM 105 269 MONTM. MUSKEGON 21,754 NEWAYGO 8,913 OAKLAND 467,739 0 OCEANA OGEMAW 773 ONTONAGON 1,461 0 OSCEOLA OSCOCA 0 OTSEGO 1,202 31,962 OTTAWA PRES. IS. 1,156 ROSCOMMON 1,38S 60,871 SAGINAW ST. CLAIR 14,823 ST.JOSEPH 3,035 384 SANILAC SCHCRFT. 0 3,520 SHIAWASSE 1,669 TUSCOLA VAN SUREN 2,854 WASHTENAW 42,204 WAYNE 308,407 7,443 WEXFORD OUT/STATE 331,155 SALES REVENUES 0 167,150 2,625 6,725 543,850 222,825 11,693,475 0 19,325 36,525 0 0 30,050 799,050 28,900 34,625 1,521,775 370,575 75,875 9,600 0 88,000 41,725 71,350 1,055,100 7,710,175 1 8 6 ,0 7 5 8,278,875 PERCENT PER PERCENT CHANGE MEN'S PERCENT CHANGE MEN'S SALES PERCENT PER OF TOTAL CAPITA OF TOTAL 64(1)TO SOY'S REVENUES OF TOTAL CAPITA OF TOTAL B4(2)TO BOY'S SALES SALES YEAR 85(1) CLOTHING SALES SALES YEAR 85(2) CLOTHING TAX SALES TAX TAX SALES TAX 1985(2) 1985(3) O.OX $0.00 ERR ERR 0 0 O.OX $0.00 ERR ERR 0 0.3X $1.24 18.9X B,5S7 2 .ax 213,925 O.AX $1.59 24.2X 7,854 1.3X O.OX $0.06 100.OX ERR 0 0 O.OX $0.00 O.OX ERR 0 O.OX $0.90 15.OX 20.6X 432 12,050 O.OX $1.61 26.8X -2.6X 642 1.1X $3.45 19.3X •1.6X 26,078 651,950 1.1X $4.14 23.2X 4.1X 25,133 18.5X 0.5X $6.38 3.3X 9,708 242,700 O.AX $6.95 20.2X -2.2X 12,918 23.BX $11.56 19.4X -2.5X 567,602 14,190,050 23.7X $14.02 H.6X -0.7X 529,273 O.OX $0.00 ERR ERR 0 O.OX $0.00 0 ERR ERR 0 O.OX $1.18 15.4X -20.8X 1,124 28,100 O.OX $1.71 22.4X -23.8X 1,380 O.IX $3.70 16.4X 3.3X 2,244 56,100 O.IX $5.69 25.IX 9.5X 2,352 O.OX $0.00 ERR ERR 0 0 O.OX $0.00 ERR ERR 0 O.OX $0.00 ERR ERR 0 O.OX $0.00 0 ERR ERR 0 O.IX $2.00 18.8X 1,389 1.9X 34,725 O.IX $2.32 21.7X -5.7X 1,736 1.6X $5.08 21.OX -1.2X 32,602 1.4X $5.19 21.AX 815,050 9.IX 42,446 O.IX $2.03 1,414 20.3X -10.1X 16.6X -5.9X 35,350 O.IX $2.48 1,872 21.8% -11.5X O.IX $2.11 11.6X -7.0X 2,594 O.IX $3.96 64,850 4,455 3.IX $6.67 21.3X 7.2X 64,522 1,613,050 22.6X 2.7X $7.07 1.5X 57,431 o.ax $2.67 H.2X 7.4X 15,356 383,900 0.6X $2.77 24.OX 2.2X 21,242 0.2X $1.35 16.6X -23.OX 4,144 0.2X $1.85 22.6X -7.4X 103,600 4,648 O.OX $0.24 100.OX 93.9X 0 O.OX $0.00 O.OX -100.OX 0 0 O.OX $0.00 ERR ERR 0 O.OX $0.00 ERR 0 ERR 0 0.2X $1.24 18.1X -26.7X 3,746 93,650 0.2X $1.32 19.3X -19.5X 3,738 O.IX $0.73 13.5X 2,919 O.IX $1.28 23.6X 22.6X O.AX 72,975 2,928 O.IX $1.07 2,495 25.3X 5.7X 62,375 O.IX $0.93 22.IX -20.4X 4,251 22.4X -6.4X 49,382 2.1X $3.99 18.8X •22.6X 50,141 1,253,525 2.IX $4.73 15.7X $3.30 19.6X -5.9X 370,187 9,254,675 15.5X $3.96 23.SX -27.8X 320,014 O.AX $7.41 17.3X o.sx 1 0 ,6 1 1 O.AX $10.57 24.6X 13.IX 10,965 2 6 5 ,2 7 5 23.OX 33.OX 469,240 16.BX 17.2X 1S.9X 441,977 11,049,425 18.5X SALES REVENUES PERCENT PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 84(3)TO SALES SALES YEAR 85(3) TAX 0 196,350 0 16,050 628,325 322,950 13,231,825 0 34,500 58,800 0 0 43,400 1,061,150 46,800 111,375 1,435,775 531,050 116,200 0 0 93,450 73,200 106,275 1,234,550 8,000,350 274,125 11,731,000 O.OX $0.00 O.SX $1.46 O.OX SO.OO O.OX $2.14 1.1X $3.99 0.5X S9.S 22.3X $13.08 O.OX SO.OO O.IX $2.10 O.IX $5.96 O.OX $0.00 O.OX SO.OO O.IX $2.89 1.8X $6.75 O.IX $3.28 0.2X $6.80 2.4X $6.30 0.9X $3.83 0.2X $2.07 O.OX SO.OO O.OX $0.00 0.2X $1.31 O.IX $1.29 0.2X $1.59 2.1% $4.66 13.5X $3.42 O.SX $10.92 19.8X ERR Z2.2X O.OX 35.7X 22.3X 26.9% 22.OX ERR 27.5X 26.3X ERR ERR 27.IX 27.9X 26.9% 37.5X 20.IX 33.2X 2S.4X O.OX ERR 19.3X 23.7X 37.6X 22.OX 20.3X 25.5X 24.4% ERR 13.6X -100.0% -7.6X 0.6X 7.0X 11.2% ERR 4.3X 11 . tx ERR ERR •11.2X 11.9X 1B.7X 9.9X 9.0X 92.9% •B.8X -100.0X ERR 4.IX 39.0X -4.7X -18.5X -26.6X O.SX 43.IX COUNTY MEN'S SALES SOY'S REVENUES PERCENT CHANGE MEN'S SALES OF TOTAL CAPITA O f TOTAL S4(1)TO BOY'S REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 19850) CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL M O TTO BOY'S REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 1 9 8 5 (2 ) TOTAL 1 ,9 6 6 ,3 4 8 4 9 ,1 5 8 ,7 0 0 COUNTY I 19,701 8 5 (1 ) PERCENT 4 9 2 ,5 2 8 100.0X 19.0X M .4 1 PER PERCENT CHANGE CLOTHING SALES SALES TAX TAX SALES YEAR 8 5 (3 ) 1 9 8 5 (3 ) 1 .4 X 2 ,3 9 3 ,0 9 2 5 9 ,8 2 7 ,3 0 0 2 3 ,5 0 7 8 5 (2 ) PERCENT OF TOTAL CAPITA OF TOTAL M OTTO 5 8 7 ,6 8 5 100.0X 23.2% S 5 .2 7 -2 .2 X 2 ,3 7 5 ,3 7 2 3 9 ,3 M ,3 0 0 2 2 ,9 6 5 5 7 4 ,1 3 6 100.0X 23.0X 4.1X $ 5 .1 4 CO IX) o ■AT PERCENT PER PERCENT CHANGE TOTAL OF TOTAL CAPITA OF TOTAL 83(4>to SALES SALES SALES TEAR 85(4) TAX TAX 1985 0 0 0 0 8,029 4,554 200,725 113,850 0 0 2,136 53,400 0 0 2,540 63,500 821 20,525 2,344 58,600 47,358 1,183,950 4,693 117,325 2,663 66,575 2,356 58,900 BENZIE BERRIEN BRANCH CALHOUN CASS 0 CHARLVX. 0 CHEBOTGAN 2.707 67,675 CHIPPEWA 3,303 82,575 CLARE 4,747 118,675 CLINTON 0 0 CRAWFORD 0 0 DELTA 11,696 292,400 DICKINSON 15,905 397,625 303,000 EATON 1 2 ,1 2 0 EMMET 27,250 1,090 i a ,126 3,078,150 GENESSE 0 0 GLADWIN 1,288 32,200 GOGEBIC GR. TRAV. 26,716 667,900 O.OX O.OX 0.2X O.IX O.OX O.IX O.OX O.IX O.OX O.IX 1.3X O.IX O.IX O.IX O.OX O.IX O.IX O.IX O.OX O.OX 0.3X 0.4X 0.3X O.OX 3.4X O.OX O.OX O.TX SO.OO SO.OO S2.46 S3.52 SO.OO S3.63 SO.OO SI .39 SO.17 $5.23 $6.91 $2.92 $0.47 $1.19 $ 0 .0 0 $3.28 $2.64 $4.98 $ 0 .0 0 $ 0 .0 0 $7.51 S15.69 $3.43 SI.19 $6.83 $ 0 .0 0 $1.64 $12.17 ERR ERR 25.5X 37.8X ERR 33. IX ERR 33.6X 30.9X 23.6X 34.7X 29.2X 23.2X 37.3X O.OX 31.ex 32.6X 33.3X ERR ERR 44.OX 38.7X 37.A 33.9X 35.6X ERR 43.4X 29.3X ERR ERR -12.IX •2i.ex ERR 5.IX ERR -17.2X -48.A 5.8X -5.IX -26.9X -55.5X -4.9X ERR -14.5X -23.JX -5.A ERR ERR -3.A 15.4X 1.4X 34.4X -O.SX ERR 146.A -1.A TOTAL SALES REVENUES 1985 MEN'S SALES BOT'S REVENUES CLOTHING SALES TAX 1986(1) 0 0 0 0 0 0 31,478 12,043 786,950 301,075 5,706 1,855 0 0 0 6,456 161,400 1,056 0 0 0 7,561 2,653 9.928 136,656 16,081 11,494 6,310 1,240 8,510 10,126 14,244 189,025 66,325 248,200 3,416,400 402,025 287,350 157.A0 31,000 1,261 2 1 2 .A 0 1,141 253,150 356,100 1,930 1,690 0 0 0 0 0 0 26,600 41,138 32,115 3,218 346,174 665,000 1,028,450 802,s n 80,450 8,654,350 4,097 6,537 5,395 186 69,057 341 1,529 23,633 3,527 1,430 1,127 64 0 0 0 2,970 91,182 74,250 2,279,550 610 15,166 PERCENT CHANGE MEN'S PERCENT PER SALES OF TOTAL CAPITA OF TOTAL 8S(1)to BOT'S REVENUES SALES SALES TEAR 86(1) CLOTHING TAX SALES TAX 1986(2) 0 O.OX $ 0 .0 0 ERR ERR 0 0 0 O.OX SO.OO ERR 0 0 ERR 178,950 142,650 0.3X si.n 17.A 11.4X 7,158 46,3n O.IX $1.44 17.9X -21.3X 3,659 91,4 n 0 O.OX SO.OO ERR 0 ERR 0 26,400 O.IX $1.80 -7.0X 18.A 31,300 1,252 0 O.OX $0.00 ERR ERR 0 0 31,525 O.IX $0.69 16.6X -9.1X 1,547 38,6n a , 725 8,525 O.OX SO.07 18.3X •48.3X 949 38,225 O.IX $3.41 15.IX -0.3X 46,100 1,844 590,825 16.6X -8.6X 32,249 i .a $3.45 806,2a 0.2X $2.19 8.8X es.m 18.A 4,077 101,9a 35.no O.IX $0.25 20.IX -60.3X 1,351 33,7n 28,in 0.1X $0.57 16.A -6.4X 1,514 37,850 1.600 O.OX $0.08 23.3X ERR 211 5,2n 28,525 O.IX S1.38 11.9X •28.4X 2,m 54,3a 23.SX 48,250 O.IX $ 1 .6 6 9.3X 1,758 43,950 42,250 O.IX $1.77 1B.3X -39.9X 2,054 51,350 0 O.OX $ 0 .0 0 ERR 0 ERR 0 0 O.OX $ 0 .0 0 ERR 0 ERR 0 102,425 O.A $2.63 22.4X -20.A 67,200 2,688 163,425 0.3X S6.4S 13.A -8.5X 10,939 273,4 n 134,8n 0.3X $1.53 17.A -9.6X 191,o a 7,641 4,650 O.OX $ 0 .2 0 27,e n 3.4X -11.4X 1,115 1,726,425 3.5X $3.83 19.5X -I.A 2,200,2a O.OX $ 0 .0 0 0 ERR ERR 0 0 15,250 O.OX $0.77 14.3X 107.5X 837 20,9a 379,650 o.sx $6.92 16.SX -5.A 19,647 49i,in 1 ALCONA ALGER ALLEGAN ALPENA ANTRIM ARENAC SARAGA BARRT MEN'S SALES BOT'S REVENUES CLOTHING SALES TAX 1985(4) S COUNIT PERCENT OF TOTAL SALES TAX O.A O.A 0.3X O.IX O.A O.IX O.A O.IX O.A O.IX 1.3X O.A O.IX O.IX O.A O.IX O.IX O.IX O.A O.A 0.1X 0.4X 0.3X O.A 3.6X O.A O.A O.A COUNTY MEN'S SALES BOY'S REVENUES CHANGE TOTAL TOTAL MEN'S SALES OF TOTAL CAPITA OF TOTAL 8 3 ( 4 ) t o SALES PERCENT SALES BOY'S REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 8 5 (4 ) TAX REVENUES 1985 1985 1985(A ) PERCENT CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL 6 5 { 1 )tO BOY'S REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 8 6 (1 ) PERCENT OF TOTAL CLOTHING SALES SALES TAX TAX 1 9 8 6 (1 ) 1 9 8 6 (2 ) GRATOIT 5 ,4 5 5 136,375 0.2X S 3 .3 7 38.5X 12.4X 1 4 ,1 5 8 3 5 3 ,9 5 0 2 ,7 3 2 6 8 ,3 0 0 0.1X $ 1 .6 9 18.2X 2 . OX 3 ,8 1 2 9 5 ,3 0 0 0.2X HILLSDALE 7 ,0 9 5 177,375 0.2X $ 4 .2 2 39.7X 4 7 . IX 1 7 ,883 4 4 7 ,0 7 5 3 ,6 6 9 9 1 ,7 2 5 0.2X $ 2 .1 8 24.7X 37.8X 3 ,1 0 8 7 7 ,7 0 0 HOUGHTON 2 ,0 4 8 5 1 ,2 0 0 O .U S I . 35 24.4X -2 .9 X 8 ,3 7 9 2 0 9 ,4 7 5 1 ,8 8 3 4 7 ,0 7 5 0.1X $ 1 .2 4 4 9 .OX 3.7 X 1 ,9 5 8 4 8 ,9 5 0 O.U O.U 0.2X HURON 5 ,1 7 8 1 2 9 ,4 5 0 0.1X S 3 .5 5 33.9X 11.9X 1 5 ,2 8 7 3 8 2 ,1 7 5 2 ,2 3 9 5 5 ,9 7 5 0.1X $ 1 .5 4 13.6X -3 .8 X 3 ,7 8 6 9 4 ,6 5 0 INGHAM 9 4 ,8 7 5 2 ,3 7 1 ,8 7 5 2.6X S8.61 32.9X -0 .8 X 2 8 7 ,9 3 9 7 ,1 9 8 ,4 7 5 5 4 ,251 1 ,3 5 6 ,2 7 5 2.7X $ 4 .9 2 18.0X 3 0 . IX 6 7 ,9 0 5 1 ,6 9 7 ,6 2 5 2.8X IONIA 1 0 ,8 2 8 2 7 0 ,7 0 0 0.3X $ 5 .2 2 50.7X 219.6X 2 1 ,3 4 4 5 3 3 ,6 0 0 962 2 4 ,0 5 0 O.OX $ 0 .4 6 13.4X -5 2 .3 X 1 ,3 9 2 3 4 ,8 0 0 O.U IOSCO 0 0 O.OX SO.00 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR 0 0 O.OX IRON 3 ,0 9 2 7 7 ,3 0 0 0.1X $ 5 .6 7 37.4X -7 .5 X 8 ,2 5 7 2 0 6 ,4 2 5 1 ,3 4 9 3 3 ,7 2 5 0.1X $ 2 .4 7 17.6X -1 1 .7 X 1 ,4 2 2 3 5 ,5 5 0 O.U ISABELLA 7 ,8 0 1 195,025 0.2X $ 3 .6 0 31 .OX -1 5 .3 X 2 5 ,1 4 7 6 2 8 ,6 7 5 3 ,8 9 5 9 7 ,3 7 5 0.2X $ 1 .8 0 13.9X - 2 6 . IX 9 ,4 2 8 2 3 5 ,7 0 0 0.4X 3 0 ,3 4 2 7 5 8 ,5 5 0 0.8X $ 5 .0 1 3 6 .OX -1 1 .3 X 8 4 ,3 6 5 2 ,1 0 9 ,1 2 5 15,9 4 5 3 9 8 ,6 2 5 0.8X $ 2 .6 3 1 9 . IX -3 .9 X 2 0 ,1 7 7 5 0 4 ,4 2 5 0.8X 1 9 8,628 4 ,9 6 5 ,7 0 0 5.5X $ 2 3 .3 8 3 3 .SX 7.4X 5 9 2 ,4 0 3 1 4 ,8 1 0 ,0 7 5 1 2 6 ,2 5 3 3 ,1 5 6 ,3 2 5 6.4X $ 1 4 .8 6 20.7X 6 .9 X 131,2 7 4 3 ,2 8 1 ,8 5 0 5.3X JACKSON KALAMAZOO KALKASKA KENT 0 0 O.OX $ 0 .0 0 ERR ERR 1 4 1,146 3 ,5 2 8 ,6 5 0 3.9X $ 7 .9 4 3 3 .9X 0 .4 X 0 0 0 0 4 1 6 ,8 9 0 1 0 ,4 2 2 ,2 5 0 7 8 ,3 9 3 1 ,9 5 9 ,8 2 5 O.OX $ 0 .0 0 4 . OX $ 4 .4 1 ERR ERR ERR 1 8 .IX -3 .1 X 0 0 O.OX 9 6 ,3 1 5 2 ,4 1 2 ,8 7 5 3.9X KEWEENAW 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX LAKE 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX 4 ,6 9 2 122,300 0.1X $ 1 .7 5 38.6X 12,685 3 1 7 ,1 2 5 2 ,4 0 0 6 0 ,0 0 0 0.1X $ 0 .8 6 20.9X -8 .7 X 1 ,9 6 4 4 9 ,1 0 0 O.U 386 9 ,6 5 0 O.OX $ 0 .6 9 1 0 0 .OX 386 9 ,6 5 0 0 0 O.OX $ 0 .0 0 O.OX 719 17,9 7 5 O.OX LENAWEE 1 ,1 8 2 2 9 ,5 5 0 O.OX $ 0 .3 3 4 . IX -9 2 .9 X 2 8 ,6 8 9 717,2 2 5 6 ,5 9 7 164,925 0.3X $ 1 .8 3 18.2X -9 .4 X 9 ,2 7 2 2 3 1 ,8 0 0 0.4X LIV. 6 ,8 7 8 1 7 1 ,950 0.2X $ 1 .7 1 3 9 . IX 5.8X 17,585 4 3 9 ,6 2 5 2 ,3 2 6 5 8 ,1 5 0 O.U $ 0 .5 8 13.6X -8 .0 X 3 ,7 3 9 9 3 ,4 7 5 0.2% LUCE 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 0 0 ERR ERR 0 0 O.OX O.OX LAPEER LEELANAU MACKINAC MACOMB MANISTEE -1 2 .9 X ERR O.OX $ 0 .0 0 ERR 0 0 O.OX $ 0 .0 0 O.OX -1 0 0 .0 X 1 ,5 0 9 3 7 ,7 2 5 0 0 O.OX $ 0 .0 0 O.OX 218 5 ,4 5 0 2 6 9,514 6 ,7 3 7 ,8 5 0 7.5X $ 9 .7 0 35.2X -1 5 .9 X 7 6 6 ,6 0 3 1 9 ,1 6 5 ,0 7 5 110,345 2 ,7 5 8 ,6 2 5 5.6X $ 3 .9 7 15.3X -2 7 .8 X 1 4 3 ,2 4 9 3 ,5 8 1 ,2 2 5 5.8X 5 ,9 5 8 1 4 8 ,950 0.2X $ 6 .4 7 3 2 . OX -2 .9 X 1 8 ,6 4 0 4 6 6 ,0 0 0 3 ,0 8 1 7 7 ,0 2 5 0.2X $ 3 .3 5 17. IX -1 6 .7 X 3 ,7 6 5 9 4 ,1 2 5 0 .2X ERR KARO-tiSTTE 1 ,3 4 3 3 3 ,5 7 5 O.OX $ 0 .4 5 3 1 .6X •16.5X 4 ,2 4 8 106 ,2 0 0 533 1 3 ,325 O.OX $ 0 .1 8 10.8X -3 5 .2 X 966 2 4 ,1 5 0 O.OX MASON 9,4 1 1 2 3 5 ,2 7 5 0.3X $ 8 .9 2 31.2X - 1 3 . IX 3 0 ,1 8 4 7 5 4 ,6 0 0 5 ,1 5 4 1 2 8 ,8 5 0 0.3X $ 4 .8 9 18.4X •16.5X 5 ,9 9 9 149 ,9 7 5 0.2X MECOSTA 6 ,2 4 1 156,025 0.2X $ 4 .2 2 27.4X -1 1 .3 X 2 2 ,7 8 0 5 6 9 ,5 0 0 4 ,1 0 5 102,625 0.2X $ 2 .7 8 19.6X - 9 . IX 4 ,2 8 5 107,125 0.2X 0 0 O.OX $ 0 .0 0 ERR 0 0 0 0 O.OX $ 0 .0 0 ELR ERR 0 0 O.OX 4 6 ,9 8 5 1 ,1 7 4 ,6 2 5 147 ,1 8 2 3 ,6 7 9 ,5 5 0 2 7 ,2 1 0 6 8 0 ,2 5 0 1.4X $ 9 .2 5 21.7X 2 7 ,6 8 7 6 9 2 ,1 7 5 1.U MENOMINEE MIDLAND 1.3X $ 1 5 .9 6 3 1 .9X ERR -1 3 .4 X -1 8 .9 X COUNTY MEN'S SALES BOY'S REVENUES PERCENT PER CHANGE TOTAL TOTAL MEN'S SALES OF TOTAL CAPITA OF TOTAL 8 3 ( 4 ) t o SALES SALES BOY'S REVENUES CLOTHING SALES SALES TAX TAX SALES PERCENT YEAR 8 5 (4 ) TAX REVENUES 1985 1985 1985(A) MISSAUKEE MONROE MONTCALM PERCENT PER CHANGE MEN'S SALES OF TOTAL CAPITA OF TOTAL 8 S (1 )tO BOY'S REVENUES CLOTHING SALES SALES TAX TAX SALES PERCENT YEAR 8 6 (1 ) CLOTHING SALES SALES TAX TAX 1 9 86(1) 0 0 O.OX * 0 .0 0 ERR ERR 12,261 3 0 6 ,5 2 5 0.3X S 2 .2 8 34.7X 4 .5X 0 0 O.OX SO.00 O.OX ERR PERCENT OF TOTAL 1 9 8 6 (2 ) 0 0 0 0 O.OX $ 0 .0 0 ERR 3 5 ,3 5 8 8 8 3 ,9 5 0 7 .021 1 75,525 0.4 X $ 1 .3 0 2 1 .2X 105 2 ,6 2 5 0 0 O.OX $ 0 .0 0 ERR ERR 5 . OX -100.0X 0 0 8 ,1 7 8 2 0 4 ,4 5 0 0.3X 0 0 O.OX O.OX O.OX 405 1 0 ,1 2 5 O.OX S I . 35 22.5X 17.4X 1 ,7 9 8 4 4 ,9 5 0 140 3 ,5 0 0 O.OX $ 0 .4 7 9 . OX -4 8 .0 X 368 9 ,2 0 0 MUSKEGON 3 9 .4 9 5 9 8 7 ,3 7 5 1.1X S 6 .2 7 3 5 . IX -4 .7 X 112,4 6 0 2 ,8 1 1 ,5 0 0 2 2 ,1 1 7 5 5 2 ,9 2 5 1.1X $ 3 .5 1 18.4X 1.7X 2 S .2 2 4 6 3 0 ,6 0 0 1.0X NEWAYGO 16,531 41 3 ,2 7 5 0.5X S I 1 .8 4 3 4 .4X -7 .2 X 4 8 ,0 7 0 1 ,2 0 1 ,7 5 0 8 ,8 3 6 2 2 0 ,9 0 0 0.4X $ 6 .3 3 17.7X -0 .9 X 1 0 ,3 6 0 2 5 9 ,0 0 0 0.4X 8 4 3 ,9 7 6 2 1 ,0 9 9 ,4 0 0 2 3 .SX S 2 0 .8 5 O.OX SO .00 3 5 .OX -3 .4 X 2 ,4 0 8 ,5 9 0 6 0 ,2 1 4 ,7 5 0 25.4X $ 1 2 .4 5 20.8X 7.7X 5 8 0 ,1 1 4 1 4 ,5 0 2 ,8 5 0 23.6X ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR ERR MONTH. OAKLAND 5 0 3 ,9 4 9 1 2 ,5 9 8 ,7 2 5 OCEANA 0 0 OGEMAW 1 ,7 4 7 4 3 ,6 7 5 O.OX $ 2 .6 6 34.8X -1 3 .4 X 5 ,0 2 4 1 2 5 ,6 0 0 688 1 7 ,2 0 0 O.OX $ 1 .0 5 13.2X ONTONAGON 2 ,8 7 0 7 1 ,7 5 0 0.1X $ 7 .2 8 3 2 . IX -2 .0 X 8 ,9 2 7 2 2 3 ,1 7 5 1 ,5 9 3 3 9 ,8 2 5 0.1X $ 4 .0 4 0 0 -1 1 .0 X 1 ,0 1 5 2 5 ,3 7 5 O.OX 16.8X O.OX 2 ,4 1 2 6 0 ,3 0 0 O .U O.OX OSCEOLA 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX OSCOOA 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX O.OX OTSEGO 2 ,0 7 1 5 1 ,7 7 5 0.1 X $ 3 .4 5 3 2 .4X -1 1 .7 X 6 ,3 9 8 1 5 9 ,9 5 0 557 13 ,9 2 5 O.OX $ 0 .9 3 1 0 0 .OX -5 3 .7 X 0 0 OTTAWA 4 5 ,1 5 8 1 ,1 2 8 ,9 5 0 1.3X $ 7 .1 8 29.7X -0 .6 X 1 5 2 ,1 6 8 3 ,8 0 4 ,2 0 0 3 1 ,2 6 9 7 8 1 ,7 2 5 1.6X $ 4 .9 7 20.6X -2 .2 X 2 7 ,3 4 9 6 8 3 ,7 2 5 1.1X 2 ,5 2 4 6 3 ,1 0 0 0.1X $ 4 .4 2 36.2X -3 .1 X 6 ,9 6 6 1 7 4 ,1 5 0 1,101 2 7 ,5 2 5 0 .1 X $ 1 .9 3 14.SX -4 .8 X 1,451 3 6 ,2 7 5 O .U 0.1X O .U O .U PRES. IS . 3 ,4 6 0 8 6 ,5 0 0 102,414 2 ,5 6 0 ,3 5 0 ST. CLAIR 1 2 ,592 ST.JOSEPH ROSCOMMON SAGINAW $ 5 .2 8 2 9 . IX -1 0 .5 X 1 1 ,894 2 9 7 ,3 5 0 1 ,3 4 7 3 3 ,6 7 5 2.8X $ 1 1 .2 3 3 5 .9X 1.6X 2 8 5 ,2 3 8 7 ,1 3 0 ,9 5 0 6 0 ,0 5 2 1 ,5 0 1 ,3 0 0 3 1 4 ,8 0 0 0.3X $ 2 .2 7 19.7X •45.3X 6 4 ,0 1 3 1 ,6 0 0 ,3 2 5 4 ,0 2 8 1 0 0 ,7 0 0 3S.4X $ 2 .0 6 1 2 .OX -2.7% 2 ,5 9 3 6 4 ,8 2 5 3 . OX $ 6 .5 8 19.7X -1 .3 X 72,2 6 1 1 ,8 0 6 ,5 2 5 2.9X 0 .2 X $ 0 .7 3 10.5X -7 2 .8 X 9 ,3 1 3 2 3 2 ,8 2 5 0 .4X 3 5 . SX 4 ,5 8 5 114 ,6 2 5 0.2X -100.0X 0 0 O.OX 0 0 O.OX O.OX 6 ,4 7 2 1 6 1 ,800 0.2X $ 2 .8 9 4.5 X 1 8 ,2 9 9 4 5 7 ,4 7 5 4 ,1 1 3 102,825 0 .2 X $ 1 .8 3 2 1 .3X SAH1LAC 0 0 O.OX $ 0 .0 0 O.OX - 1 0 0 .OX 384 9 ,6 0 0 0 0 O.OX $ 0 .0 0 ERR SCHCRFT. 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR SHIAWASSE 8 ,4 0 9 2 1 0,225 0.2X $ 2 .9 6 43.3X 8.2 X 1 9 ,4 1 3 4 8 5 ,3 2 5 3 ,6 9 6 9 2 ,4 0 0 0 .2 X $ 1 .3 0 69 .4 X 5 . OX 707 1 7 ,675 TUSCOLA 4 ,8 5 6 1 2 1 ,400 0.1X $ 2 .1 3 39.2X 4.6X 1 2 ,3 7 2 3 0 9 ,3 0 0 1 ,9 0 6 4 7 ,6 5 0 O .U $ 0 .8 4 13.8X 14.2X 2 ,6 1 9 6 3 ,4 7 5 O .U VAN BUREN 1,701 4 2 ,5 2 5 O.OX $ 0 .6 4 1 5 .IX - 5 5 . 6X 11,301 2 8 2 ,5 2 5 1,3 9 2 3 4 ,8 0 0 O .U $ 0 .5 2 1 5 .7X -5 1 .2X 2 ,1 6 9 5 4 ,2 2 5 O .U 8 2 ,3 8 9 2 ,0 5 9 ,7 2 5 2.3X $ 7 .7 8 36.8X 2 9 . IX 2 2 4 ,1 1 6 5 ,6 0 2 ,9 0 0 4 3 ,8 8 8 1 ,0 9 7 ,2 0 0 2.2X $ 4 .1 4 2 0 .U 4 . OX 5 1 ,5 7 9 1 ,2 8 9 ,4 7 5 2 .U 1 6 .OX $ 6 .1 7 36.6X -1 7 .3 X 1 ,5 7 5 ,8 0 4 3 9 ,3 9 5 ,1 0 0 3 0 5 ,1 7 6 7 ,6 2 9 ,4 0 0 1 5 .4X $ 3 .2 6 1 B .U •1 .0 X 4 0 0 ,1 0 7 1 0 ,0 0 2 ,6 7 5 16.2X $ 7 .1 9 17.3X -3 .0 X 17.4X 1 1 .9X WASHTENAW WAYNE WEXFORD OUT/STATE 5 7 7 ,1 9 6 1 4 ,4 2 9 ,9 0 0 1 4 ,0 4 8 3 5 1 ,2 0 0 6 7 8 ,3 8 3 1 6 ,9 5 9 ,5 7 5 0.4X $ 1 3 .9 9 18.9X 32.6X -5 .0 X 4 3 ,0 6 7 1 ,0 7 6 ,6 7 5 7 ,2 2 2 180,5 5 0 0 .4 X 35.3X 22.2X 1 ,9 2 0 ,7 5 5 4 8 ,0 1 8 ,8 7 5 3 7 0 ,4 7 0 9 ,2 6 1 ,7 5 0 18.7X ERR 2 5 4 ,3 2 5 0.4X 5 1 5 ,2 3 5 1 2 ,8 8 0 ,8 7 5 1 0 ,1 7 3 20.9X COUNTY MEN'S SALES SOY'S REVENUES PERCENT CHANGE TOTAL TOTAL MEN'S OF TOTAL CAPITA OF TOTAL 8 3 (4 > to SALES PER SALES BOY'S CLOTHING SALES REVENUES SALES TAX TAX SALES PERCENT YEAR 8 5 (4 ) TAX 1985 1985 1 9 8 5 (4 ) TOTAL 3 5 ,1 8 1 SALES PERCENT SALES REVENUES CLOTHING SALES SALES TAX TAX PER SALES PERCENT YEAR 1 9 8 6 (1 ) 3 .5 9 6 ,4 2 8 8 9 ,9 6 0 ,7 0 0 COUNTY AV CHANGE MEN'S REVENUES OF TOTAL CAPITA OF TOTAL 8 5 ( ! > to SOY'S 6 7 9 ,5 3 2 100.0X 34.8X S 7 .8 8 -2 .5 X 1 0 ,3 3 3 ,2 4 0 101,3 5 5 ' 2 5 8 ,3 3 1 ,0 0 0 1 ,9 8 1 ,2 4 1 4 9 ,5 3 1 ,0 2 5 2 ,5 3 3 ,8 8 1 1 9 ,4 0 7 8 6 (1 ) 4 8 5 ,1 7 2 100.0X 18.7X $ 4 .3 5 PERCENT OF TOTAL CLOTHING SALES SALES TAX TAX 1 9 8 6 (2 ) 0 .6 X 2 ,4 6 3 ,1 2 4 6 1 ,5 7 8 .1 0 0 2 3 ,4 6 9 100.0X 5 8 6 ,7 1 4 324 COUNTY PER PERCENT CHANGE HEN'S SALES PERCENT PER PERCENT CHANGE MEN'S SALES PERCENT PER PERCENT CHANGE CAPITA OF TOTAL 85(2)TO BOY'S REVENUES OF TOTAL CAPITA OF TOTAL 05(3)TO BOY'S REVENUES OF TOTAL CAPITA OF TOTAL 85(4)TO 06(2) CLOTHING SALES SALES YEAR SALES YEAR 86(3) CLOTHING 66(4) SALES BALES YEAR SALES TAX TAX SALES TAX TAX 1906(3) 1986(4) SO.00 ALCONA ERR 0 0 O.OX $0.00 ERR ERR ERR 0 0 O.OX SO.OO ERR ERR SO.00 O.OX S0.00 ALGER ERR ERR 0 0 ERR ERR 0 0 O.OX so.oo ERR ERR ALLEGAN S2.19 21.6* -0.9X 11,697 292,425 0.5X S3.59 35.3X 8,564 214,100 5.4X 0.2X $2.63 2S.9X 6.7X S2.83 1,410 35,250 0.1X SI.09 3,430 85,750 ALPENA 35.1X S0.4X 13.6X -47.8X O.U S2.65 33.IX -24.7X SO.00 O.OX so.oo 0 ANTRIM ERR ERR 0 0 ERR ERR 0 O.OX SO.OO ERR ERR 2,009 ARENAC $2.13 21.6* -12.6X 1,403 37,075 0.1X S2.52 25.6X -15.4X 50,225 O.U S3.42 34.6X -5.9X SO.00 6ARAGA ERR 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR ERR ERR SO.04 2,903 BARRY 20.3X -16.5X 1,094 47,150 0.1X SI.03 24.9X 6.3X 72,575 O.U SI.59 38.2X 14.3X SO.20 441 RAY SO.SX 45.IX 136 3,400 O.OX SO.03 7.3X -73.7X 11,025 O.OX SO.09 23.6X -46.3X S4.11 4,359 100,975 0.2X S9.71 7.4X 2,419 O.U S5.40 BENZIE 10.2X -7.4X 42.9X 60,475 23.SX 3.2X 1.5X SS.33 BERRIEN S4.71 23.OX -6.4X 36,543 913,575 26.OX 26.OX 47,987 1,199,675 1.3X $7.00 34.2X 1.3X 0.2X $2.68 6,942 BRANCH S2.S4 21.6X 1.SX 4,312 107,000 22.9X 4.4X 173.550 0.2X S4.32 36.8X 47.9X CALHOUN SO.24 0.1X SO.32 2,542 19.OX -63.SX 1,793 44,025 25.2X 17.3X 63,550 O.U SO.45 3S.7X -4.5X SO.76 1,599 39,975 0.1X SO.81 24.OX 12.IX 2,419 60,475 O.U S I . 22 CASS 22.7X 14.4X 36.3X 2.7X CHARLVX. SO.26 0 0 O.OX SO.OO O.OX -100.0X 0 0 O.OX SO.OO 76.7X 37.OX O.OX ERR 85,350 O.U S4.13 CHEBOYGAN $2.63 22.7X 22.OX 2,055 71,375 0.1X S3.46 29.8X 17.0X 3,414 35.6X 26.U CHIPPEWA $1.51 1,934 40,350 O.U SI.67 2,483 62,075 O.U $2.14 21.7X •20.7X 23.9X -31.9X 30.6X •24.8X S2.16 2,300. 57,500 O.U S2.41 3,189 79,725 O.U S3.35 CLARE 22.2X -36.7X 24.9X -33.1X 34.SX -32.BX SO.00 O.OX SO.OO 0 0 CLINTON ERR ERR 0 0 ERR ERR O.OX SO.OO ERR ERR CRAWFORD SO.00 ERR 0 0 O.OX so.oo ERR ERR 0 0 O.OX so.oo ERR ERR ERR 8,694 DELTA 2,000 70,200 O.U SI .80 15.4X -37.BX 217,350 0.2X S5.58 47.5X -25.7X SI.71 14.7X -4B.6X DICKINSON S10.79 0.5X $13.11 467,525 22.IX 34.6X 13,293 132,325 26.9X 33.SX 18,701 0.5X SIB.45 37.8X 17.6X EATON S2.16 6,570 164,250 0.3X S I . 86 3.5X 12,054 301,350 0.3X S3.41 24.IX -0.5X 20.SX 38.IX -0.5X 1,611 40,325 O.OX S1.75 EMHET SI.21 2,517 62,925 O.U S2.74 46.3X 101.8X 29.7X 48.OX 20.SX 66.2X GENESSE S4.60 3.2X S4.29 21. ex 3.2X S6.67 24.OX 4.2X 77,237 1,930,925 12.SX 120,103 3,002,575 33.9X -2.5X SO.00 0 GLADWIN 0 0 O.OX SO.OO ERR ERR 0 O.OX SO.OO ERR ERR ERR ERR O.OX SI.24 O.OX $2.15 GOGEBIC SI.06 976 24,400 22.8X 47.4X 1,849 46,225 43.3X 43.6X 19.6X 1S.3X 701,600 1.2X $12.78 30.4X 3.3X 29,270 731,750 0.8X S13.33 31.BX 9.6X GR. TRAV. S8.9S 21 .IX -7.3X 20,064 TOTAL SALES TAX 1986 0 0 33,125 10,354 0 5,800 0 7,605 1,867 10,151 140,412 18,858 7,116 6,659 275 9,583 8,105 9,233 0 0 18,287 49,470 31,660 5,431 354,406 0 4,272 92,167 TOTAL SALES REVENUES 1986 0 0 828,125 258,850 0 145,000 0 190,125 46,675 253,775 3,510,300 471,450 177.900 166,475 6,875 239,575 202,625 230,825 0 0 457,175 1,236,750 791,500 135,775 8,860,150 0 106,800 2,304,175 COUNTY PER CHANGE HEN'S SALES CAPITA OF TOTAL 8S(2)TO BOY'S REVENUES SALES PERCENT TEAR PERCENT 8 6 ( 2 ) CLOTHING PERCENT CHANGE MEN'S SALES REVENUES SALES SALES TAX PER OF TOTAL CAPITA OF TOTAL 85(3)TO BOY'S SALES TEAR PERCENT 8 6 ( 3 ) CLOTHING TAX PER PERCENT CHANGE OF TOTAL CAPITA OF TOTAL 85(4)TO SALES SALES TAX SALES TEAR 8 6 (4 ) TAX TOTAL TOTAL SALES SALES TAX REVENUES 1986 1986 19 8 6 (4 ) 198 6 (3 ) GRATOIT $ 2 .3 6 2 5 .4X 2 3 .BX 2 ,9 3 0 7 3 ,2 5 0 0.1X S1.B1 19.5X -0 .5 X 5 ,5 4 6 1 3 8 ,6 5 0 0.1X $ 3 .4 3 36.9X 1.7X 1 5 ,0 2 0 3 7 5 ,5 0 0 HILLSDALE S I . 85 2 1 .OX •1 6 .6 X 3 ,2 1 4 8 0 ,3 5 0 0.1X $ 1 .9 1 2 1 .7X •26.8X 4 ,8 4 1 121,025 O .U $ 2 .8 8 32.6X - 3 1 .8X 1 4 ,8 3 2 3 7 0 ,8 0 0 HOUGHTON S I .2 9 51 .OX 1.1X 0 0 O.OX SO.OO O.OX -1 0 0 .0 X 0 0 O.OX $ 0 .0 0 O.OX -1 0 0 .0 X 3 ,8 4 1 9 6 .0 2 S HURON S 2 .6 0 22.9X -2 .1 X 4 ,2 3 9 105,975 0.2X S 2 .9 1 B.3X 6 ,2 3 4 155 ,8 5 0 0.2X $ 4 .2 7 20.4X 1 6 ,4 9 8 4 1 2 ,4 5 0 6 5 ,2 4 8 1 ,6 3 1 ,2 0 0 2.7X $ 5 .9 2 2 1 .6X -26.9X 1 1 4 ,3 1 6 2 ,8 5 7 ,9 0 0 1,5 4 5 3 8 ,6 2 5 0.1X $ 0 .7 5 2 1 .6X -4 4 .7 X 3 ,2 6 9 8 1 ,7 2 5 0 0 O.OX SO.OO ERR 0 0 1,721 4 3 ,0 2 5 0.1X $ 3 .1 6 22.4X 3 ,1 9 4 7 9 .8 5 0 9 .3 X ' 25.7X INSHAH S 6 .1 6 22.SX IONIA SO.67 19.4X IOSCO SO.OO ERR IRON S2.61 18.5X -1 3 .7 X ISABELLA S 4 .3 6 33.7X 63.3X 6 ,9 1 9 172,975 0.3X S 3 .2 0 24.7X 9 .8 X 7 ,7 5 8 1 9 3 ,9 5 0 0.2X JACKSON S 3 .3 3 24.2X 1.4X 1 6 ,596 4 1 4 ,9 0 0 0 .7 X $ 2 .7 4 19.9X -5 .3 X 3 0 ,5 7 1 7 6 4 ,2 7 5 0.8 X KALAMAZOO SIS.AS 140,441 3 ,5 1 1 ,0 2 5 5.8 X S 16.S 3 2 3 .OX - 7 . IX 2 1 1 ,7 8 3 5 ,2 9 4 .5 7 5 5.6X $ 2 4 .9 3 0 0 O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 1 0 1,070 2 ,5 2 6 ,7 5 0 4.2X $ 5 .6 8 23.3X 1.9X 157,241 3 ,9 3 1 ,0 2 5 4.2X -7 5 .6 X ERR ERR -1 3 .5 X 37.8X 3 . OX $ 1 0 .3 7 37.9X 20.5X 3 0 1 ,7 2 0 7 ,5 4 3 ,0 0 0 O .U $ 1 .5 8 45.6X -6 9 .8 X 7 ,1 6 8 1 7 9 ,2 0 0 O.OX $ 0 .0 0 ERR ERR O .U $ 5 .8 6 4 1 .6X 3.3 X $ 3 .5 8 27.7X -0 .6 X 2 8 ,0 0 0 7 0 0 ,0 0 0 $ 5 .0 4 3 6.7X 0 .8 X 8 3 ,2 8 9 2 ,0 8 2 ,2 2 5 34.7X 6.6 X 609,7 5 1 1 5 ,2 4 3 ,7 7 5 ERR ERR $ 8 .8 4 36.3X 1 1 .4X 0 0 7 ,6 8 6 192 ,1 5 0 2 1 .5X S.4X KALKASKA SO.OO ERR ERR KENT SS.A3 22.3X o.ax KEWEENAW SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR LAKE so.oo ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR LAPEER $ 0 .7 0 1 7 . IX - 1 5 .OX 2 ,6 2 2 6 5 ,5 5 0 0.1X SO.94 2 2 .BX - 8 . IX 4 ,4 9 4 112 ,3 5 0 0.1X $ 1 .6 0 3 9 . IX -8 .1 X LEELANAU S I . 28 2 0 . IX ERR 2 ,6 5 7 6 6 ,4 2 5 0.1X S 4 .7 4 7 4 . IX ERR 208 5 ,2 0 0 O.OX $ 0 .3 7 5.8X - 4 6 . IX 3 ,5 8 4 8 9 ,6 0 0 LENAWEE S 2.S 8 25.6X -3 .7 X 7 ,2 0 6 180,1 5 0 0.3X $ 2 .0 0 19.9X - 3 2 .OX 13,0 9 3 3 2 7 ,3 2 5 0.3X $ 3 .6 4 36.2X 1007.7X 3 6 ,1 6 8 9 0 4 ,2 0 0 -1 9 .8 X 3 ,7 5 3 9 3 ,8 2 5 0 .2 X $ 0 .9 4 2 1 .9X 6.8 X 7 ,3 1 5 182,875 0.2X $ 1 .8 2 42.7X 6.4X 1 7 ,1 3 3 4 2 8 ,3 2 5 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 0 .1 X $ 4 .3 5 8 9 .OX 39.8X 0 0 O.OX $ 0 .0 0 O.OX ERR 1 ,9 8 9 4 9 ,7 2 5 LIV. SO.93 2 1 .8X LUCE SO.OO ERR ERR MACKINAC $ 0 .5 4 11.0X -9 .9 X 1,771 4 4 ,2 7 5 0 0 4 3 3 ,2 1 9 1 0 ,8 3 0 ,4 7 5 ERR 0 0 ERR 0 0 1 1 ,4 8 0 2 8 7 ,0 0 0 MACOMB $ 5 .1 6 19.9X -2 0 .8 X 1 6 8 ,260 4 ,2 0 6 ,5 0 0 7 . OX $ 6 .0 6 23.4X 2.9X 2 9 7 ,9 6 4 7 ,4 4 9 ,1 0 0 7.9X $ 1 0 .7 2 4 1 .4X 10.6X 7 1 9 ,8 1 8 1 7 ,9 9 5 ,4 5 0 MANISTEE $ 4 .0 9 20.8X -9 .5 X 4 ,5 5 4 113,8 5 0 0.2X $ 4 .9 5 25.2X -5 .6 X 6 ,6 6 6 166 ,6 5 0 0.2X $ 7 .2 4 36.9X 11.9X 1 8 ,0 6 6 4 5 1 ,6 5 0 MARQUETTE SO.33 19.5X -2 5 .5 X 1,1 2 6 2 8 ,1 5 0 O.OX $ 0 .3 8 22.8X 4 3 .3X 2 ,3 1 7 5 7 ,9 2 5 O .U $ 0 .7 8 46.9X 72.5X 4 ,9 4 2 1 2 3 ,5 5 0 MASON S S .69 21.4X -7 .8 X 7 ,5 8 5 189,625 0.3X $ 7 .1 9 2 7 . IX -6 .2 X 9 ,2 3 5 2 3 0 ,8 7 5 0.2X $ 8 .7 6 3 3 .OX -1 .9 X 2 7 ,9 7 3 6 9 9 ,3 2 5 MECOSTA $ 2 .9 0 20.4X -4 3 .5 X 5 ,9 3 9 148,475 0.2X $ 4 .0 2 28.3X 33.9X 6 ,6 4 7 166,175 0.2X S 4 .5 0 31.7X 6.SX 2 0 ,9 7 6 5 2 4 ,4 0 0 MENOMINEE SO.OO ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX SO.OO ERR ERR MIDLAND S 9.41 2 2 . IX 2 6 ,781 669,5 2 5 1.1X $ 9 .1 0 2 1 .4X 4 3 ,5 0 2 1 ,0 8 7 ,5 5 0 34 .ax -7 .4 X ERR - 1 7 . IX -19.4X 1.2X $ 1 4 .7 8 0 0 125 ,1 8 0 3 ,1 2 9 ,5 0 0 COUNTY PER CHANGE MEN'S SALES CAPITA OF TOTAL 85(2)TO BOY'S REVENUES SALES PERCENT YEAR PERCENT 8 6 (2 ) CLOTHING PERCENT CHANGE MEN'S SALES REVENUES SALES SALES TAX PER OF TOTAL CAPITA OF TOTAL 85(3)TO SOY'S SALES YEAR 8 6 ( 3 ) CLOTHING TAX SALES TAX 1986(3) MISSAUKEE SO.OO ERR ERR NONROE ST .5 2 2 4 .7 3 -4.4% PERCENT PER PERCENT TOTAL TOTAL OF TOTAL CAPITA OF TOTAL 8 5 (4 )T 0 SALES SALES SALES TAX REVENUES SALES TEAR CHANGE 8 6 (4 ) TAX 1986 1986 1 9 8 6 (4 ) 0 0 O.OX SO.OO ERR ERR 7.3T 5 182,8 7 5 0.3% S I . 36 22.1% •6.9% 0 0 O.OX SO.OO ERR 1 0 ,6 1 6 2 6 5 ,4 0 0 0.3% S I .9 7 32.0% ERR -13.4% 0 0 3 3 ,1 3 0 8 2 8 ,2 5 0 MONTCALM SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 MONTH. S T .23 23.5% -23.7% 684 17,1 0 0 0.0% S 2 .2 8 43.8X 6.5% 371 9 ,2 7 5 O.OX S I . 24 23.7X -8 .4 X 1 ,5 6 3 3 9 ,0 7 5 MUSKEGON u .o o 2T.0X -3.3% 2 6 .0 2 9 6 5 0 ,7 2 5 1.1% S 4 .1 3 21.6% 3.6% 4 6 ,9 0 2 1 ,1 7 2 ,5 5 0 1.2% S 7 .4 4 39.0% 18.8% 120 ,2 7 2 3 ,0 0 6 ,8 0 0 NEUATGO S 7 .4 2 20.7% 6.7% 0.6X S 9 .8 8 27.6X 6.8 X 1 6 ,993 4 2 4 ,8 2 5 0.5X S 1 2 .1 7 3 4 .OX 2.8X 4 9 ,9 9 0 1 ,2 4 9 .7 5 0 OAKLAND STL.33 23.9% 2.2% T3.80T 3 4 5 ,0 2 5 5 1 2 ,9 5 6 1 2 ,8 2 3 ,9 0 0 21.2% S 1 2 .6 7 2 1 . IX -3.1% 8 3 0 ,3 2 9 2 0 ,7 5 8 ,2 2 5 2 2 . IX S 2 0 .5 2 34.2X -1 .6 X 2 ,4 2 7 ,3 4 8 6 0 ,6 8 3 ,7 0 0 OCEANA so.oo ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 OGEKAU $ 1 .5 4 T9.5X -9.7% 1 ,6 2 4 4 0 ,6 0 0 0.1% S 2 .4 7 3 1 . IX 17.7% 1 ,8 9 0 4 7 ,2 5 0 0.1% S 2 .8 7 36.2X 8.2% 5 ,2 1 7 130,425 ONTONAGON S6.TT 25.5% 7.5% 2 ,4 7 9 6 1 ,9 7 5 0.1% S 6 .2 8 26.2% 5.4% 2 ,9 8 4 7 4 ,6 0 0 0.1X S 7 .5 7 3 1 .5X 4 .0 X 9 ,4 6 8 2 3 6 ,7 0 0 OSCEOLA ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX ERR ERR 0 0 OSCOOA so.oo so.oo ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 ERR ERR 0 0 OTSEGO SO.OO 0 0 O.OX SO.OO OTTAWA S 4 .3 5 4 9 .7 6 9 1 ,2 4 4 ,2 2 5 2.1% S 7 .9 2 32.8% 0.0% -TOO.OX T8.0% -T6.TX 0.0% -100.0% 17.3% 0 0 4 3 ,4 1 9 1 ,0 8 5 ,4 7 5 so.oo O.OX so.oo O.OX so.oo 1.2% O.OX •100.0% S 6 .9 1 28.6% -3.9% 557 1 3 ,925 1 5 1 ,8 0 6 3 ,7 9 5 ,1 5 0 PRES. I S . S 2 .5 4 I9.1X 2.6X 2 ,0 9 9 5 2 ,4 7 5 0.1X S 3 .6 8 27.7% 12.1% 2 ,9 4 0 7 3 ,5 0 0 0.1% S S.15 38.7% 16.5% 7 ,5 9 1 189,775 ROSCOMMON S 3 .9 6 23.0% O.OX 3 ,1 2 5 7 8 ,1 2 5 0.1% S 4 .7 7 27.8% -29.9% 4 ,1 9 4 104 ,8 5 0 0.1% S 6 .4 0 37.3% 21.2% 1 1 ,2 5 9 2 8 1 ,4 7 5 SAGINAW $ 7 .9 2 23.7% T2.0X 5 9 ,4 0 6 1 ,4 8 5 ,1 5 0 2.5% S 6 .5 1 19.5% 3.4% 112 ,9 2 3 2 ,8 2 3 ,0 7 5 3.0% S 1 2 .3 8 37.1% 10.3X 3 0 4 ,6 4 2 7 ,6 1 6 ,0 5 0 ST. CLAIR ST .6 8 24.3% -39.4% 8 ,1 7 1 2 0 4 ,2 7 5 0.3% S I .4 7 21.3% -61.5% 16,7 9 4 4 1 9 ,8 5 0 0.4% S 3 .0 2 43.8% 33.4% 3 8 ,3 0 6 9 5 7 ,6 5 0 ST.JOSEPH $ 2 .0 4 23.7% TO.6% 4 ,1 1 5 102,875 0.2% SI .83 21.3% -11.5% 6 ,5 3 6 163,400 0.2% S 2 .9 1 33.8% 1.0% 1 9 ,3 4 9 4 8 3 ,7 2 5 SANILAC SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 SCHCRFT. SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 0.0% SO.OO ERR ERR 0 0 SHIAWASSE SO .25 T3.3% -8T.TX 425 10,625 O.OX SO. 15 8 . OX 498 1 2 ,4 5 0 O.OX SO .18 9.4X -94.1% 5 ,3 2 6 133 ,1 5 0 -88.6% TUSCOLA ST.T5 T8.9% -TO .3% 3 ,3 3 4 8 3 ,3 5 0 0.1% SI .4 6 24.1% 13.9X 5 ,9 7 4 149 ,3 5 0 0.2% S 2 .6 2 43.2% 23.0% 1 3 ,8 3 3 3 4 5 ,8 2 5 VAN SUREN S0.8T 24.5% -T3.TX 2 ,9 8 3 74,5 7 5 0.1X S I . 12 33.7% -29.8% 2 ,2 9 7 5 7 ,4 2 5 0.1% SO.86 2 6 .OX 35.0% 8 ,8 4 1 2 2 1 ,0 2 5 WASHTENAW $ 4 .8 7 23.6% 2.9% 4 5 ,7 3 1 1 ,1 4 3 ,2 7 5 1.9% S 4 .3 2 20.9X -7.4% 7 7 ,6 1 2 1 ,9 4 0 ,3 0 0 2.1% S 7 .3 3 35.5% -5.8% 2 1 8 ,8 1 0 5 ,4 7 0 ,2 5 0 S 4 .2 8 23.7% 8 . IX 3 7 5 ,2 9 6 9 ,3 8 2 ,4 0 0 15.SX S4.01 22.3% 17.3% 6 0 5 ,8 6 7 1 5 ,1 4 6 ,6 7 5 16.1% S 6 .4 8 35.9% 5.0% 1 ,6 8 6 ,4 4 6 4 2 ,1 6 1 ,1 5 0 ST0.T3 24.4% -4.T X 1 1 ,2 8 9 2 8 2 ,2 2 5 0.3% S 1 3 .0 3 31.3% -6.9% 4 1 ,7 6 8 1 ,0 4 4 ,2 0 0 24.2% T6.6X 34.6% 8.5 X 2 ,1 2 9 ,2 8 5 5 3 ,2 3 2 ,1 2 5 WAYNE WEXFORD OUT/STATE 5 0 7 ,8 4 7 1 2 ,6 9 6 ,1 7 5 O.SX $ 1 1 .2 4 21 .OX 27.0X 3.0% 23.9% 8.2% 7 3 5 ,7 3 3 1 8 ,3 9 3 ,3 2 5 13,084 3 2 7 ,1 0 0 19.6% COUNTY PER PERCENT CHANGE MEN'S CAPITA OF TOTAL 85(2>TO BOY'S SALES YEAR SALES PERCENT PER PERCENT CHANGE MEN'S REVENUES OF TOTAL CAPITA OF TOTAL 8S(3)TO BOY'S 8 8 ( 2 ) CLOTHING SALES SALES TAX SALES YEAR TAX COUNTY * 9 23.2X * 5 .2 6 PERCENT PER PERCENT CHANGE TOTAL TOTAL OF TOTAL CAPITA OF TOTAL 8 5 (4 )T 0 SALES SALES SALES TAX REVENUES SALES YEAR TAX 8 6 (4 ) 1986 1986 1 9 8 6 (4 ) 2 .9 X 2 ,4 1 8 ,4 3 5 6 0 ,4 6 0 ,8 7 5 2 3 ,0 1 9 8 6 ( 3 ) CLOTHING SALES TAX 198 6 (3 ) TOTAL SALES REVENUES 5 7 5 .4 7 8 100.0X 22.8X S 5 .1 6 1 .8 X 3 ,7 5 5 ,1 7 6 9 3 ,8 7 9 ,4 0 0 3 6 ,3 7 9 9 0 9 ,4 7 1 100.0X 3 5 .4 X S 8 .1 5 4 .4 X 1 0 ,6 1 7 ,9 7 6 2 6 5 ,4 4 9 ,4 0 0 1 0 2 ,2 7 3 2 ,5 5 6 ,8 3 5 CO l\i 00 APPENDIX M STATISTICAL ABSTRACT FOR WOMEN'S CLOTHING SALES TAX BY QUARTER FOR MICHIGAN COUNTIES 1983-86 COUNTY POPULATION WOMEN'S CLOTHES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL CLOTHES SALES TAX SALES PER WOMEN'S SALES SALES PERCENT YEAR SALES PERCENT CHANGE WOMEN'S SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL Q1toQ2 CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL SALES TAX SALES TAX PER SALES PERCENT YEAR SALES TAX SALES TAX 198 3 (1 ) 1 9 8 3 (2 ) YEAR 19 8 3 (3 ) 9 ,7 4 0 132 3 ,3 0 0 O.OX SO.34 2 2 .6X 221 5 ,5 2 5 O.OX $ 0 .5 7 37.9X 67.4X 230 5 .7 5 0 ALGER 9 ,2 2 5 289 7,2 2 5 O.OX SO .78 16.3X 475 11,8 7 5 O.OX $ 1 .2 9 26.9X 6 4 .4X 611 1 5 ,2 7 5 ALLEGAN 8 1 ,5 5 5 5 ,6 4 0 141,000 0.1X S I . 73 17.7X 8 ,0 1 3 200,3 2 5 0.1X $ 2 .4 6 2 5 . IX 4 2 . 1X 1 0 ,6 3 9 ALPENA 3 2 ,3 1 5 7 .1 0 0 177,500 0.2X $ 5 .4 9 19.4X 8 ,0 2 6 2 0 0 ,6 5 0 0.1X $ 6 .2 1 2 1 .9X 1 3 .OX ANTRIM 16,194 0 0 O.OX SO.OO ERR 0 0 O.OX $ 0 .0 0 ERR ERR ARENAC 1 4 ,7 0 6 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR BARRY SALES PERCENT TAX ALCONA BARAGA PER O.OX $ 0 .5 9 39.5X O.OX $ 1 .6 6 34.6X 2 6 5 ,9 7 5 0 .2 X $ 3 .2 6 33.3X 9 ,4 8 4 2 3 7 ,1 0 0 0.2 X $ 7 .3 4 25.9X 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR O.OX 8 ,4 8 4 97 2,4 2 5 O.OX SO.29 6 . IX 88 2 ,2 0 0 O.OX $ 0 .2 6 5.5X -9 .3 X 362 9 ,0 5 0 45,7 8 1 1 ,0 3 3 2 5 ,8 2 5 O.OX SO.56 19.3X 1 ,5 2 6 3 8 ,1 5 0 O.OX $ 0 .8 3 28.6X 47.7X 1 ,2 5 2 3 1 ,3 0 0 S I . 07 22.7X O.OX $ 0 .6 8 2 3 .SX 0 .8 X 2 1 .5X 119,881 4 5 ,2 2 2 1 ,1 3 0 ,5 5 0 1.0X $ 9 .4 3 22.6X 4 1 ,6 3 8 t , 0 4 0 ,9 5 0 0.7X $ 8 .6 8 2 0 .8X -7 .9 X 4 3 ,1 0 8 1 ,0 7 7 ,7 0 0 BENZIE 11,205 1 ,3 9 2 3 4 ,8 0 0 O.OX S 3 .1 1 11.9X 2 ,4 0 2 6 0 ,0 5 0 O.OX $ 5 .3 6 20.6X 72.6X 4 ,6 6 9 116,7 2 5 O .U $ 1 0 .4 2 4 0 .OX BERRIEN 1 7 1 ,276 2 1 ,4 2 3 5 3 5,575 0.5X S 3 .1 3 2 1 .4X 2 5 ,5 1 2 6 3 7 ,8 0 0 0.4X $ 3 .7 2 2 5 .4X 19. IX 2 6 ,4 6 2 6 6 1 ,5 5 0 0.5 X $ 3 .8 6 26.4X BAY $ 8 .9 9 BRANCH 4 0 ,1 8 8 3 ,6 3 0 9 0 ,7 5 0 0.1X S 2 .2 6 18.6X 5 ,6 3 4 1 4 0 ,8 5 0 0.1X $ 3 .5 0 28.9X SS.2X 4 ,8 2 0 1 2 0 ,5 0 0 O .U $ 3 .0 0 24.7X CALHOUN 1 4 1 ,5 5 7 1 3 ,8 8 7 3 4 7 ,1 7 5 0.3X S 2 .4 5 27.2X 12,6 2 2 3 1 5 ,5 5 0 0.2X $ 2 .2 3 24.8X -9 .1 X 1 0 ,5 4 6 2 6 3 ,6 5 0 0.2 X $ 1 .8 6 20.7X CASS 4 9 ,4 9 9 3 ,0 1 4 7 5 ,350 0.1X $ 1 .5 2 16.9X 5 ,2 4 2 131 .0 5 0 0.1X $ 2 .6 5 29.3X 73.9X 6 ,5 4 8 1 6 3 ,7 0 0 O .U $3.31 36.6X CHARLVX. 1 9 ,9 0 7 4 ,6 8 5 117,125 0.1X S S .8 8 20.4X 4 ,3 7 6 109 ,4 0 0 0.1X $ 5 .5 0 1 9 .IX •6.6X 9 ,5 4 5 2 3 8 ,6 2 5 0.2 X $ 1 1 .9 9 41.6X CHEBOYGAN 2 0 ,6 4 9 526 1 3 ,150 O.OX $ 0 .6 4 1 7 .OX 1 ,0 2 9 2 5 ,7 2 5 O.OX $ 1 .2 5 3 3 .3X 9S.6X 1 ,2 4 6 3 1 ,1 5 0 O.OX $1.51 40.4X CHIPPEUA 2 9 ,0 2 9 509 12,725 O.OX $ 0 .4 4 29.6X 637 15,9 2 5 O.OX $ 0 .5 5 3 7 .OX 2 5 .U 411 10 ,2 7 5 O.OX $ 0 .3 5 23.9X CLARE 2 3 ,8 2 2 1,031 2 5 ,7 7 5 O.OX $ 1 .0 8 19.6X 1 ,0 5 2 2 6 ,3 0 0 O.OX $ 1 .1 0 2 0 .OX 2 . OX 1 ,6 8 5 4 2 ,1 2 5 O.OX $ 1 .7 7 3 2 .U CLINTON 5 5 ,8 9 3 3 ,8 2 5 9 5 ,6 2 5 0.1X $ 1 .7 1 21.4X 4 ,0 6 0 101 ,5 0 0 0.1X $ 1 .8 2 22.7X 6 .U 4 ,7 0 0 1 1 7 ,5 0 0 O .U $ 2 .1 0 26.3X 9 ,4 6 5 1 ,354 3 3 ,8 5 0 O.OX $ 3 .5 8 16.7X 1,8 5 2 4 6 ,3 0 0 O.OX $ 4 .8 9 22.8X 36.8X 2 ,3 2 6 5 8 ,1 5 0 O.OX $ 6 .1 4 28.7X DELTA 3 8 ,9 4 7 4 0 ,4 8 8 1 ,0 1 2 ,2 0 0 0.9X $ 2 5 .9 9 18.4X 4 8 ,7 1 9 1 ,2 1 7 ,9 7 5 0.8X $ 3 1 .2 7 2 2 . IX 20.3X 6 1 ,2 1 3 1 ,5 3 0 ,3 2 5 1.1X $ 3 9 .2 9 27.8X DICKINSON 25,341 6 ,4 4 6 161,150 0.1X $ 6 .3 6 17.4X 9 ,1 4 6 2 2 8 ,6 5 0 0.2X $ 9 .0 2 2 4 .7X 4 1 .9X 9 ,4 0 5 2 3 5 ,1 2 5 0.2X $ 9 .2 8 2S.4X EATON 8 8 ,3 3 7 1 4 ,992 37 4 ,8 0 0 0.3X $ 4 .2 4 1 9 .2X 2 3 ,7 6 8 5 9 4 ,2 0 0 0.4X $ 6 .7 3 30.4X 58.5X 1 7 ,9 3 8 4 4 8 ,4 5 0 0.3 X $ 5 .0 8 22.9X EMMET 2 2 ,9 9 2 1,981 4 9 ,5 2 5 O.OX $ 2 .1 5 3.5X 10,0 2 6 2 5 0 ,6 5 0 0.2X $ 1 0 .9 0 17.6X 4 0 6 .1X 3 7 ,9 3 0 9 4 8 ,2 5 0 0.7 X $ 4 1 .2 4 66.6X GENESSE 4 5 0 ,4 4 9 8 2 ,8 8 5 2 ,0 7 2 ,1 2 5 1.8X $ 4 .6 0 2 0 . IX 8 7 ,3 1 0 2 ,1 8 2 ,7 5 0 1.5X $ 4 .8 5 21.2X 5.3X 100,511 2 ,5 1 2 ,7 7 5 1.8X $ 5 .5 8 24.4X GLADWIN 1 9 ,9 5 7 1 ,1 5 2 2 8 ,8 0 0 O.OX $ 1 .4 4 1S.2X 1,9 4 5 4 8 ,6 2 5 O.OX $ 2 .4 4 25.6X 68.8X 2 ,2 8 3 5 7 ,0 7 5 O.OX $ 2 .8 6 30. U O .U $ 3 .6 8 2 5 .BX 1 1 .5X 2 ,8 5 7 7 1 ,4 2 5 O .U $ 3 .6 3 2S.4X 0.4X $ 1 0 .8 6 26.4X 35.3X 28,171 7 0 4 ,2 7 5 0.5 X $ 1 2 .8 3 3 1 .2X CRAWFORD GOGEBIC 1 9 ,6 8 6 2 ,6 0 2 6 5 ,0 5 0 0 .1 X $ 3 .3 0 2 3 . 1X 2 ,9 0 1 7 2 ,5 2 5 GR. TRAV. 5 4 ,8 9 9 1 7 ,6 1 6 4 4 0 ,4 0 0 0.4X $ 8 .0 2 19.5X 23,841 5 9 6 ,0 2 5 COUNTY POPULATION WOMEN'S CLOTHES SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL CLOTHES SALES TAX SALES PER SALES PERCENT YEAR WOMEN'S SALES PERCENT CHANGE WOMEN'S SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL Q 1to42 CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL SALES TAX SALES TAX SALES PERCENT YEAR SALES TAX 46,451 1 ,1 6 1 ,2 7 5 HILLSDALE 42,0 7 1 2 ,0 2 8 HOUGHTON 3 7 ,8 7 2 856 PER SALES PERCENT YEAR TAX 1 9 8 3 (2 ) A 0 .U 8 SALES TAX 1983(1) GRATOIT HUSOH PER 1 9 8 3 (3 ) 1.0X S 28.71 1 9 .SX 5 3 ,5 6 6 1 ,3 3 9 ,1 5 0 5 0 ,7 0 0 O.OX S I . 21 1 1 .2X 9 ,8 5 3 2 1 ,4 0 0 O.OX SO .57 16.8X 1 ,3 5 8 0.9X S33.11 22.9X 1 5 .3X 6 2 ,2 3 9 1 ,5 5 5 ,9 7 5 2 4 6 ,3 2 5 0.2X S 5 .8 5 5 4 .4X 385.8X 2 ,5 3 9 6 3 ,4 7 5 O.OX S I . 51 1 4 .OX 3 3 ,9 5 0 O.OX SO.90 26.6X S8.6X 1 ,4 8 6 3 7 ,1 5 0 O.OX SO.98 2 9 . IX 1.1X S 3 8 .4 7 26.6X 3 6 .4 5 9 3 ,1 4 3 78,5 7 5 0.1X S 2 .1 6 1 5 .7X 5 ,2 1 6 1 3 0 ,4 0 0 0.1X S 3 .5 8 26.1X 6 6 . OX 4 ,7 1 1 117,775 0.1X S 3 .2 3 23.6X 2 7 5 ,5 2 0 1 0 6,338 2 ,6 5 8 ,4 5 0 2.3X S 9 .6 5 2 4 .BX 102,155 2 ,5 5 3 ,8 7 5 1.8X S 9 .2 7 2 3 .8X •3 .9 X 9 6 ,4 9 1 2 ,4 1 2 ,2 7 5 1.7X S 8 .7 6 22.5X IONIA 5 1 ,8 1 5 1 ,5 9 0 3 9 ,7 5 0 O.OX SO .77 2 0 .OX 2 ,0 7 3 5 1 ,8 2 5 O.OX S I . 00 26.0X 30.4X 2 ,0 0 2 5 0 ,0 5 0 O.OX SO.9 7 2 5 . IX IOSCO 2 8 ,3 4 9 2 ,8 4 6 7 1 ,1 5 0 0 .1 X S 2.S1 1 3 .6X 4 ,8 7 1 121,7 7 5 0.1X S 4 .3 0 2 3 .2X 7 1 .2X 7 ,0 9 5 177 ,3 7 5 0 .1 X S 6 .2 6 33 .8 X IRON 13,635 2 ,611 6 5 ,2 7 5 0.1X S 4 .7 9 19.7X 3 ,2 5 1 8 1 ,2 7 5 0.1X S 5 .9 6 24.6X 24.5X 3 ,7 6 0 9 4 ,0 0 0 0 .1X S 6 .8 9 28.4X INGHAM ISABELLA 5 4 ,1 1 0 13,611 3 4 0 ,275 0.3X S 6 .2 9 24.3X 1 2 ,4 1 8 3 1 0 ,4 5 0 0.2X S 5 .7 4 22.2X -8 .8 X 12,801 3 2 0 ,0 2 5 0.2X S 5.91 22.9X 151,495 4 ,6 0 3 115,075 0.1X SO .76 21 .OX 5 ,4 3 4 1 3 5 ,8 5 0 0.1X SO.90 24.8X IB . IX 6 ,7 9 5 169,875 0.1X S I . 12 31 .OX KALAMAZOO 2 1 2 ,3 7 8 5.5X 7 0 ,3 4 5 1 ,7 5 8 ,6 2 5 1.3X S 8 .2 8 26.3X 353 8 ,8 2 5 O.OX SO.81 49 .5 X 10.1X S 3 1 .8 5 2 3.6X JACKSON KALKASKA 5 9 ,6 5 4 1 ,4 9 1 ,3 5 0 1.3X S 7 .0 2 22.3X 6 2 ,9 0 7 1 ,5 7 2 ,6 7 5 1.1X S7.41 23.5X 1 0 ,952 0 0 O.OX SO.OO O.OX 0 0 O.OX SO.OO O.OX 11 . ox S 2 8 .2 2 20.9X 10.0X S 32.25 ERR 4 4 4 ,5 0 6 5 0 1 ,704 1 2 ,5 4 2 ,6 0 0 5 7 3 ,3 3 9 1 4 ,3 3 1 ,4 7 5 23.9X 1 4 .3X 5 6 6 ,3 6 0 1 4 ,1 5 9 ,0 0 0 KEWEENAW 1 ,9 6 3 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO LAKE 7 ,711 0 0 O.OX SO.OO ERR 0 0 O.OX so.oo ERR ERR 0 0 O.OX SO.OO ERR 7 0 ,0 3 8 4 ,3 6 5 109,125 0.1X S I .5 6 16.9X 5 ,7 0 7 142 ,6 7 5 0.1X S 2 .0 4 2 2 . IX 30.7X 7 ,2 9 5 182 ,3 7 5 0.1X S 2 .6 0 2 8 .2 X KENT LAPEER ERR LEELANAU 1 4 ,0 0 7 73 1,825 O.OX S O .13 4 5 . IX 0 0 O.OX so.oo 68 1 ,7 0 0 O.OX SO .12 4 2 .OX LENAWEE 8 9 ,9 4 8 8 ,7 4 9 2 1 8 ,725 0.2X S 2 .4 3 2 3 .SX 9 ,0 3 5 2 2 5 ,8 7 5 0.2X $2.5 1 24.3X 3.3X 9 ,1 4 7 2 2 8 ,6 7 5 0.2X S 2 .5 4 2 4.6X LIV. 1 0 0 ,289 5 ,6 6 8 141,700 0.1X S I . 41 19.2X 6 ,4 8 7 162,175 0.1X S I .6 2 2 2 .OX 14.4X 7 ,0 6 3 176,575 0.1X S I . 76 2 4 .OX LUCE 6 ,6 5 9 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR 1 0 ,1 7 8 58 1 ,4 5 0 O.OX S O .14 1 0 .7X 132 3 ,3 0 0 O.OX SO.32 24.4X 127.6X 212 5 ,3 0 0 O.OX SO.52 3 9 . IX MACKINAC MACOMB O.OX - 1 0 0 .OX 6 9 4 ,6 0 0 5 2 ,5 6 4 1 ,3 1 4 ,1 0 0 1.2X S I .8 9 18.8X 7 3 ,4 4 0 1 ,8 3 6 ,0 0 0 1.3X S 2 .6 4 26.2X 3 9 .7X 7 0 ,5 5 4 1 ,7 6 3 ,8 5 0 1.3X S 2 .5 4 25.2X MANISTEE 2 3 ,0 1 9 2 ,6 7 7 6 6 ,9 2 5 0.1X S2.91 24.2X 3 ,0 3 0 7 5 ,7 5 0 0.1X S 3 .2 9 27.4X 13.2X 2 ,8 1 5 7 0 ,3 7 5 0.1 X S 3 .0 6 25.4X MAROUETTE 74,101 1 2 ,519 3 1 2 ,9 7 5 0.3X S 4 .2 2 2 1 .2X 15,260 3 8 1 ,5 0 0 0.3X S5.1S 2 5 .8X 1 5 ,2 4 6 3 8 1 ,1 5 0 0.3X S 5 .1 4 25.8X MASON 2 6 ,3 6 5 1,9 7 5 4 9 ,3 7 5 O.OX SI .8 7 17. IX 3 ,2 8 2 8 2 ,0 5 0 0.1X S3.11 28.5X 21.9X 6 6 . ZX 3 .6 5 3 9 1 ,3 2 5 0.1X S 3 .4 6 31.7X MECOSTA 3 6 ,9 6 1 286 7 ,1 5 0 O.OX SO. 19 12.2X 606 1 5 ,1 5 0 O.OX SO.41 25.ax 111.9X 1 ,0 8 0 2 7 ,0 0 0 O.OX SO .73 4 6 . OX MENOMINEE 2 6,2 0 1 1 ,7 3 6 4 3 ,4 0 0 O.OX S I .6 6 19.2X 2 ,3 0 8 57.7CO O.OX S2.Z0 2 5 .6X 32.9X 2 ,3 8 0 5 9 ,5 0 0 O.OX S 2 .2 7 2 6.4X MIDLAND 7 3 ,5 7 8 1 2 ,2 6 7 3 0 6 ,6 7 5 0.3X S 4 .1 7 19.3X 12,723 3 1 8 ,0 1 5 0.2X $ 4 .3 2 2 0 .OX 3.7X 1 7 ,3 4 7 4 3 3 ,6 7 5 0.3X S 5 .8 9 27.2X COUNTY POPULATION WOMEN'S CLOTHES SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL CLOTHES SALES TAX SALES PER SALES PERCENT YEAR WOMEN'S SALES PERCENT CHANGE WOMEN'S SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL Q 1to02 CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL SALES TAX SALES TAX MONROE MONTCALM MONTH. MUSKEGON SALES TAX SALES SALES PERCENT YEAR TAX 1 9 8 3 (2 ) 19 8 3 (3 ) 126 3 ,1 5 0 O.OX SO.31 10.0X 299 7 ,4 7 5 O.OX SO.75 23.BX 137.3X 401 10 ,0 2 5 1 3 4,639 5 ,9 2 9 148,225 0.1X S I . 10 28.8X 3 ,7 4 4 9 3 ,6 0 0 0.1 X SO.70 18.2X -3 6 .9 X 5 ,0 0 7 125,175 O .U SO.93 24.3X 4 7 ,5 5 5 5 ,9 1 9 147,975 0.1X S 3 .1 1 22.8X 6 ,4 5 9 161,475 0.1 X S 3 .4 0 24.9X 9.1 X 6 ,2 5 3 1 56 ,3 2 5 O .U S 3 .2 9 24.1% 7 ,4 9 2 0 0 O.OX SO.OO ERR 1 5 7 ,5 8 9 7 ,3 8 2 1 8 4,550 0.2X S I . 17 2 1 .OX 0.2X S 6 .4 2 20.9X 8 ,9 7 4 2 2 4 ,3 5 0 1 6 .BX S I S .93 2 2 . IX 880 ,3 8 1 2 2 ,0 0 9 ,5 2 5 0 0 O.OX 3 ,4 0 3 8 5 ,0 7 5 0 842 3 4 ,9 1 7 8 ,9 6 9 224,225 OAKLAND 1 ,0 1 1 ,7 9 3 7 6 6 ,1 0 9 1 9 ,1 5 2 ,7 2 5 OCEANA 2 2 ,0 0 2 0 0 O.OX SO.OO ERR OGEMAW 1 6 ,4 3 6 2 ,2 0 2 5 5 ,0 5 0 O.OX S 3 .3 5 1 7 .OX OSCEOLA SALES YEAR PER 1 0 ,0 0 9 NEWAYGO ONTONAGON PERCENT TAX 1 983(1) MISSAUKEE PER 9 ,8 6 1 0 0 O.OX SO.OO ERR 1 8 ,9 2 8 534 13,350 O.OX S O .71 13.5X 0 0 O.OX SO.OO ERR ERR 8 ,5 8 3 2 1 4 ,5 7 5 0 .1 X S I . 36 2 4 .4X 16.3X 0.2 X S 6 .4 3 20.9X O .U 1 2 ,0 7 6 3 0 1 ,9 0 0 1 5 .4X S 2 1 .7 5 2 5 .4X 14.9X 8 1 7 ,7 1 6 2 0 ,4 4 2 ,9 0 0 SO.OO ERR ERR 0 0 0.1 X S 5 .1 8 26.3X 54.5X 3 ,5 8 3 0 O.OX SO.OO ERR ERR 2 1 ,0 5 0 O.OX S I . 11 2 1 .3X 5 7 . 7X 0 0 9 ,9 3 4 2 4 8 ,3 5 0 O.OX S I .0 0 O.OX SO.OO 3 2 . OX ERR 0 .2 X S I .5 8 28.2X 0 .2 X $ 8 .6 5 28.2X 14.6X $ 2 0 .2 0 23.6X O.OX SO.OO ERR 8 9 ,5 7 5 O .U S S.45 27.7X 0 0 O.OX SO.OO 1 ,2 1 9 3 0 ,4 7 5 O.OX S I .61 ERR 30.8% OSCODA 6 ,8 5 8 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR 0 0 OTSEGO 1 4 ,9 9 3 3 ,5 9 5 8 9 ,8 7 5 0.1X S 5 .9 9 19.9X 2 ,4 2 2 6 0 ,5 5 0 O.OX S 4 .0 4 1 3 .4X •3 2 .6 X 6 ,5 3 7 1 63,425 O . U S 1 0 .9 0 OTTAWA 1 5 7,174 1 8 ,5 9 8 4 6 4 ,9 5 0 0.4X S 2 .9 6 2 1 . BX 2 1 ,9 1 6 5 4 7 ,9 0 0 0.4 X S 3 .4 9 25.7X 17.8X 2 2 ,5 4 7 5 6 3 ,6 7 5 0 .4 X S 3 .5 9 26.4X 1 4 ,2 6 7 0 0 O.OX SO.OO O.OX 1 25 O.OX SO.OO 0.2X ERR 286 7 ,1 5 0 O.OX SO.50 45.9% O.OX 0 .1 X S 6 .2 2 O .U S 9 .9 9 40.7X 2 .3 X S 1 4 .3 3 24.6% PRES. IS . 1 6 ,374 1,9 3 1 4 8 ,2 7 5 S 2 .9 5 1 2 .OX 4 ,0 7 4 101 ,8 5 0 SAGINAW 2 2 8 ,0 5 9 1 0 1 ,3 6 7 2 ,5 3 4 ,1 7 5 2.2X S 11.11 1 9 . IX 117,315 2 .9 3 2 ,8 7 5 ST. CLAIR 1 3 8 ,8 0 2 1 0 9,906 2 ,7 4 7 .6 5 0 2.4X S19.B 0 26.5X 128,6 7 4 3 ,2 1 6 ,8 5 0 ST.JOSEPH 5 6 ,0 8 3 8 ,3 5 5 2 0 8 ,875 0.2X S 3 .7 2 1 8 .2X 1 0 ,5 3 2 2 6 3 ,3 0 0 SANILAC 4 0 ,7 8 9 2 ,2 3 5 5 5 ,8 7 5 O.OX S I . 37 15.6X 3 ,0 4 9 7 6 ,2 2 5 SCHCRFT. 8 ,5 7 5 0 0 O.OX SO.OO O.OX 0 0 7 1 ,1 4 0 4 ,4 4 1 111,025 0.1X $ 1 .5 6 1 8 .IX 5 ,8 0 4 145,100 TUSCOLA 56,9 6 1 5 ,3 8 2 134,550 0.1X S 2 .3 6 20.9X 6 ,1 5 6 VAN SUREN 6 6 ,8 1 4 1 ,3 6 6 3 4 ,1 5 0 O.OX SO .51 1 5 .7X 2 ,0 9 9 WASHTENAW 2 6 4 ,7 4 8 4 6 ,7 4 0 1 ,1 6 8 ,5 0 0 1.0X S 4 .4 1 17.7X 2,,3 3 7 ,8 9 1 1 ,0 7 3 ,1 1 4 2 6 ,8 2 7 ,8 5 0 23.5X S I 1 .4 8 10,215 2 5 5,375 0.2X S 1 0 .1 7 1 ,2 4 3 ,4 4 9 3 1 ,0 8 6 ,2 2 5 ROSCOMMON SHIAWASSE WAYNE WEXFORD OUT/STATE 2 5 ,1 0 2 27.3X ERR O.OX SO.OO ERR 36.3X 2 5 .4X 111.0X 6 ,5 4 0 1 6 3 ,5 0 0 2 . OX S 1 2 .8 6 22. U 15.7X 130,701 3 ,2 6 7 ,5 2 5 2.2X $ 2 3 .1 8 3 1 .OX 1 7 .IX 6 2 ,1 6 9 1 ,5 5 4 ,2 2 5 1.1X $ 1 1 .2 0 15.0% 0.2 X S 4 .6 9 2 3 .OX 2 6 . 1X 11,5 6 4 2 8 9 ,1 0 0 0.2 X S 5 .1 5 25.2% O .U S I . 87 2 1 .3X 36.4X 3 ,1 9 2 7 9 ,8 0 0 . O .U S I .9 6 22.3% O.OX SO.OO O.OX ERR 0 0 O.OX SO.OO 0.0% O .U S 2 .0 4 23.7X 3 0 . 7X 5 ,4 3 9 1 35,975 O .U S I .91 22.2% 1 5 3 ,9 0 0 O .U S 2 .7 0 2 3 .9X 14.4X 6 ,9 7 8 1 7 4 ,4 5 0 O .U S 3 .0 6 27.1% 5 2 ,4 7 5 O.OX SO.79 24. U 5 3 . 7X 2 ,7 2 3 6 8 ,0 7 5 O.OX S I . 02 31.3% 1.1X S5.71 22.9X 29.4X 7 2 ,1 5 6 1 ,8 0 3 ,9 0 0 1.3X S6.81 27.3% 2 7 . IX $16.61 26.4X 44.8% 1 ,3 3 5 ,0 7 2 3 3 ,3 7 6 ,8 0 0 23.8X S 1 4 .2 8 22.7X 19.5X -6 .4 X 14,8 5 4 3 7 1 ,3 5 0 0.3 X S 1 4 .7 9 30.4% 22.5% 28.4X 1 ,7 0 3 ,0 8 0 4 2 ,5 7 7 ,0 0 0 6 0 ,4 7 6 1 ,5 1 1 ,9 0 0 18.2X1 ,5 5 3 ,5 9 4 9 ,5 5 9 20.9X 3 8 ,8 3 9 ,8 5 0 2 3 8 ,9 7 5 0.2 X 1 7 .5 X 1 ,5 9 6 ,3 1 2 3 9 ,9 0 7 ,8 0 0 2 7 .BX S 9 .5 2 30.3X 2 4 .OX COUNTY POPULATION WOMEN'S CLOTHES SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL CLOTHES SALES TAX SALES PER SALES PERCENT TEAR WOMEN'S SALES PERCENT CHANGE WOMEN'S SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL fl1toQ2 CLOTHES REVENUES O f TOTAL CAPITA OF TOTAL SALES TAX SALES TAX AVERAGE 3 9 ,9 4 9 TEAR 9 9 8 ,7 1 6 ■OUT/STATE F ig u r e s N ot I n c lu d e d •ERR I n d i c a t e s D i v is io n b y Z e ro SALES TAX SALES S 8 .9 S 4 9 ,8 6 6 SALES PERCENT TEAR 1 9 8 3 (3 ) 1 9 .4 X 3 .7 3 3 ,1 8 0 1 4 3 ,3 7 9 ,5 0 0 I n t h e A v ereg es PER TAX 1 9 8 3 (2 ) 9 ,2 6 2 ,0 7 8 4 ,3 3 9 ,1 8 7 1 1 3 ,9 7 9 ,6 7 3 100.0X 111,591 SALES PERCENT TAX 1983(1> TOTAL PER 1 ,2 4 6 ,6 4 7 100.0X 2 4 .JX S 1 1 .1 7 2S.8X 5 ,6 1 2 ,8 1 6 1 4 0 ,3 2 0 ,4 0 0 4 7 ,1 0 5 1 ,1 7 7 ,6 3 1 100.0X 23.8X S 1 0 .5 5 CO CO ro COUNTY CHANGE WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S SALES PERCENT Q2toQ3 CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 03toC 4 SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 3 (1 )T 0 CLOTHES SALES TAX REVENUES SALES TAX PER SALES PERCENT YEAR TAX 1983 SALES TAX TEAR CHANGE WOMEN'S 8 4 (1 ) 0 O.OX SO.OO ALGER 2 8 .6X 393 9 ,8 2 5 O.OX $ 1 .0 7 ALLEGAN 32.8X 7 ,6 1 7 190,425 0.1X ALPENA 18.2X 11,9 7 3 2 9 9 ,3 2 5 0.2X ANTRIM ERR 0 0 O.OX ARENAC ERR 0 0 O.OX ■ARAGA 3 1 1 .4X 1 ,0 4 8 2 6 ,2 0 0 BARRY - 1 8 .OX 1 ,5 2 8 3 8 ,2 0 0 O.OX -1 0 0 .0 X SALES REVENUES SALES TAX 1 9 8 4 (1 ) 0 BAY SALES PERCENT TAX 198 3 (4 ) 4 . IX ALCONA SALES 1983 PER 1 9 8 4 (2 ) 583 14,575 0 0 O.OX $ 0 .0 0 O.OX -100.0X 0 0 4 4 ,2 0 0 0 0 O.OX $ 0 .0 0 ERR -100.0% 0 0 22.2X -3 5 .7 X 1 ,7 6 8 $ 2 .3 3 23.9% -2 8 .4 X 3 1 ,9 0 9 797 ,7 2 5 5 ,1 4 3 128 ,5 7 5 0 .1X $ 1 .5 8 17.4X •8 .8 X 7 ,2 7 9 181,975 $ 9 .2 6 32.7% 26.2% 3 6 ,5 8 3 9 1 4 ,5 7 5 6 ,7 8 8 169 ,7 0 0 0.1X $ 5 .2 5 18.5% -4 .4 X 8 ,2 4 7 206 ,1 7 5 $ 0 .0 0 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 O.OX ERR 0 0 $ 0 .0 0 ERR ERR 0 0 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 3 .0 9 65.7% 189.5% 1 ,5 9 5 3 9 ,8 7 5 704 1 7 ,6 0 0 O.OX $ 2 .0 7 15.8X 625.8% 1 ,0 3 8 2 5 ,9 5 0 O.OX $ 0 .8 3 28.6% 2 2 .OX 5 ,3 3 9 133,475 974 2 4 ,3 5 0 O.OX $ 0 .5 3 14.4X -5 .7 X 1,421 3 5 ,5 2 5 1 ,3 0 9 ,5 7 5 3.SX 7 0 ,3 6 8 1 ,7 5 9 ,2 0 0 0.9X $ 1 4 .6 7 3 5 . IX 63.2X 2 0 0 ,3 3 6 5 ,0 0 8 ,4 0 0 4 6 ,8 2 6 1 ,1 7 0 ,6 5 0 1.0X $ 9 .7 7 21.2% 3.5X 5 2 ,3 8 3 BENZIE 9 4 .4X 3 ,201 8 0 ,0 2 5 O.OX $ 7 .1 4 27.4X -31.4% 1 1,6 6 4 2 9 1 ,6 0 0 1 ,8 8 4 4 7 ,1 0 0 O.OX $ 4 .2 0 13.6X 35.3% 2 ,8 6 4 7 1 ,6 0 0 BERRIEN 3.7X 2 6 ,9 4 2 6 7 3 ,5 5 0 0.4X $ 3 .9 3 26.9% 1.8X 1 0 0 ,3 3 9 2 ,5 0 8 ,4 7 5 2 1 ,6 5 0 5 4 1 ,2 5 0 0.5X $ 3 .1 6 20.6% 1.1X 2 6 ,1 5 6 6 5 3 ,9 0 0 BRANCH -1 4 .4 X 5 ,431 135,775 0.1X $ 3 .3 8 27.8% 12.7X 19,515 4 8 7 ,8 7 5 4 ,5 7 9 114 ,4 7 5 0.1X S2.BS 20.2X 26.1% 3 ,7 6 3 1 44,075 CALHOUN -1 6 .4 X 1 3,9 2 6 34 8 ,1 5 0 0.2X $ 2 .4 6 27.3% 32.1X 50.981 1 ,2 7 4 ,5 2 5 6 ,4 4 5 161,125 0.1X $ 1 .1 4 18.9X -5 3 .6 X 7 ,4 7 7 1 86.925 24.9X 3 ,0 6 5 7 6 ,6 2 5 O.OX $ 1 .5 5 17.2X -53.2% 1 7 ,8 6 9 4 4 6 ,7 2 5 1 ,8 3 5 4 5 ,8 7 5 O.OX $ 0 .9 3 12.3% -39.1% 4 ,0 5 2 1 01,300 1 1 8 .IX 4 ,3 4 6 1 0 8,650 0.1X $ 5 .4 6 1B.9X -5 4 .5 X 2 2 ,9 5 2 5 7 3 ,8 0 0 2 ,3 6 1 5 9 ,0 2 5 O.OX $ 2 .9 7 9 .9 X -49.6X 4 ,5 9 8 114 ,9 5 0 CHEBOYGAN 2 1 . 1X 285 7 ,1 2 5 O.OX $ 0 .3 5 9 .2 X - 7 7 . IX 3 ,0 8 6 7 7 ,1 5 0 807 2 0 ,1 7 5 O.OX $ 0 .9 8 15.3X 53.4X 1 ,2 1 4 3 0 ,3 5 0 CHIPPEWA - 3 5 .SX 164 4 ,1 0 0 O.OX $ 0 .1 4 9.5X - 6 0 . IX 1,721 4 3 ,0 2 5 422 1 0 ,5 5 0 O.OX $ 0 .3 6 22.8% -17.1% 569 14,2 2 5 4 0 .2X 1,4 8 3 3 7 ,0 7 5 O.OX $ 1 .5 6 28.2% - 1 2 . OX 5,2 5 1 131,275 988 2 4 ,7 0 0 O.OX $ 1 .0 4 1 4 .OX -4 .2 X 1 ,2 1 5 3 0 ,3 7 5 CLINTON 1 5 .BX 5 ,3 1 2 13 2 ,8 0 0 0.1X $ 2 .3 8 29.7% 1 3 .OX 1 7 ,8 9 7 447 ,4 2 5 3 ,9 3 3 9 8 ,3 2 5 O .U $ 1 .7 6 22.4X 2.8X 3 ,9 3 8 9 8 ,4 5 0 CRAUFORD 2 5 .iX 2,581 6 4 ,5 2 5 O.OX $ 6 .8 2 31.8% 1 1 .OX 8 ,1 1 3 202 ,8 2 5 695 1 7 ,375 O.OX $ 1 .8 4 16.5% -4 8 .7 X 1 ,2 0 8 3 0 ,2 0 0 DELTA 25.6X 6 9 ,9 9 7 1 ,7 4 9 ,9 2 5 0.9X $ 4 4 .9 3 31.8% 14.3X 2 2 0 ,4 1 7 5 ,5 1 0 ,4 2 5 4 6 ,1 7 4 1 ,1 5 4 ,3 5 0 1.0X $ 2 9 .6 4 18.7X 1 4 .OX 5 7 ,161 1 ,4 2 9 ,0 2 5 CASS CHARLVX. CLARE 2.8X 12,011 3 0 0 ,2 7 5 0.2X $ 1 1 .8 5 32.5X 2 7 . 7X 3 7 ,0 0 8 9 2 5 ,2 0 0 7 ,3 0 1 182,525 0.2% $ 7 .2 0 19.1% 13.3% 9 ,4 6 0 2 3 6 ,5 0 0 EATON -2 4 .5 X 21,4 8 5 5 3 7 ,1 2 5 0.3X 27.5X 1 9 .SX 7 8 ,1 8 3 1 ,9 5 4 ,5 7 5 1 6 ,205 4 0 5 ,1 2 5 0.3X $ 4 .5 9 2 1 .7X 8.1X 2 0 ,9 6 2 5 2 4 ,0 5 0 EMHET DICKINSON $ 6 .0 8 278.3X 7 ,0 5 7 176,425 0.1X $ 7 .6 7 12.4X - 8 1 . 4X 5 6 ,9 9 4 1 ,4 2 4 ,8 5 0 2 ,6 6 6 6 6 ,6 5 0 O .U $ 2 .9 0 4.3X 34.6X 1 0 ,5 2 8 2 6 3 ,2 0 0 GENESSE 1 5 .IX 140,752 3 ,5 1 8 ,8 0 0 1.8X $ 7 .8 1 34.2X 40.0% 4 1 1 ,4 5 8 1 0 ,2 8 6 ,4 5 0 102,2 7 6 2 ,5 5 6 ,9 0 0 2 .U $ 5 .6 8 21.3% 23.4X 107 ,2 8 8 2 ,6 8 2 ,2 0 0 GLADUIN 17.4X 2 ,211 5 5 ,2 7 5 O.OX $ 2 .7 7 29.1% -3 .2 X 7,5 9 1 189,775 1 ,7 0 4 4 2 ,6 0 0 O.OX $ 2 .1 3 16.7% 47.9X 3 ,0 1 0 7 5 ,2 5 0 GOGEBIC -1 .5 X 2 ,9 0 5 7 2 ,6 2 5 O.OX $ 3 .6 9 25.8% 1.7X 11.2 6 5 281 ,6 2 5 2 ,0 1 3 5 0 ,3 2 5 O.OX $ 2 .5 6 11.8X -2 2 .6 X 2 ,9 6 0 7 4 ,0 0 0 GR. TRAV. 1S.2X 2 0 ,7 5 3 5 1 8 ,8 2 5 0.3X $ 9 .4 5 2 3 .OX -2 6 .3 X 9 0 ,3 8 1 2 ,2 5 9 ,5 2 5 1 7 ,9 0 5 4 4 7 ,6 2 5 0.4X $ 8 .1 5 20.7X 1.6X 2 0 ,6 2 4 5 1 5 ,6 0 0 COUNTY CHANGE WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S SALES PERCENT Q 2to03 CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL Q3toQ4 SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 3 (1 )T 0 CLOTHES SALES TAX REVENUES SALES TAX PER SALES PERCENT YEAR TAX 1983 SALES TAX 1983 7 1 ,8 9 4 1 ,7 9 7 ,3 5 0 -74.2% 3 ,6 8 0 9.4% HURON 30.7% 15.5% 2 3 4 ,ISO 5 ,8 5 3 ,7 5 0 4 9 ,9 6 0 1 ,2 4 9 ,0 0 0 9 2 ,0 0 0 0.0% S 2 .1 9 20.3% 44.9% 1 8 ,1 0 0 4 5 2 ,5 0 0 2 ,8 1 8 1 ,4 0 5 3 5 ,1 2 5 0.0% SO.93 27.5% -5.5% 5 ,1 0 5 127,6 2 5 -9.7% 6 ,8 9 6 1 7 2,400 0.1% S 4 .7 3 34.5% 46.4% 1 9 ,9 6 6 INGHAM -5.5% 124,353 3 ,1 0 8 ,8 2 5 1.6% $ 1 1 .2 8 29.0% 28.9% IONIA -3.4% 2 ,3 0 4 5 7 ,6 0 0 0.0% $ 1 .1 1 28.9% 15.1% IOSCO 45.7% 6 ,1 6 5 154,125 0.1% $ 5 .4 4 29.4% -13.1% IRON 15.7% 3 ,6 1 2 9 0 ,3 0 0 0.0% $ 6 .6 2 27.3% -3.9% 13,2 3 4 3 3 0 ,8 5 0 3 ,8 3 3 9 5 ,8 2 5 0.1% 3.1% 1 7 ,0 9 6 4 2 7 ,4 0 0 0.2% $ 7 .9 0 30.6% 33.6% 5 5 ,9 2 6 1 ,3 9 8 ,1 5 0 1 3 ,5 2 9 3 3 8 .2 2 S 0.3% ISABELLA 8 4 (1 ) SALES REVENUES SALES TAX 1 9 8 4 (2 ) 0.9% S 4 4 .4 4 HOUGHTON YEAR CHANGE WOMEN'S 1 9 8 4 (1 ) 16.2% HILLSDALE SALES PERCENT TAX 19 8 3 (4 ) GRATOIT SALES PER 1.0% $ 3 0 .8 8 20.5% 7.6% 5 8 ,1 4 6 1 ,4 5 3 ,6 5 0 7 0 ,4 5 0 0.1% $ 1 .6 7 27.7% 39.0% 2 ,5 3 4 6 3 ,3 5 0 677 1 6,9 2 5 0.0% SO.45 17.1% -20.9% 891 2 2 ,2 7 5 4 9 9 ,1 5 0 2 ,5 9 5 6 4 ,8 7 5 0.1% $ 1 .7 3 14.9% -17.4% 4 ,4 7 1 111,775 4 2 9 ,3 3 7 1 0 ,7 3 3 ,4 2 5 112 ,9 1 9 2 ,8 2 2 ,9 7 5 2.4% $ 1 0 .2 5 24.3% 6.2% 106,1 9 0 2 .6 5 4 ,7 5 0 7 ,9 6 9 199,225 1 ,7 2 0 4 3 ,0 0 0 0.0% $ 0 .8 3 18.7% 8.2% 2 ,2 8 9 5 7 ,2 2 5 2 0 ,9 7 7 5 2 4 ,4 2 5 3 ,9 5 0 9 8 ,7 5 0 0.1% $ 3 .4 8 17.5% 38.8% 5 ,2 2 8 130 ,7 0 0 $ 7 .0 3 16.7% 46.8% 5 ,1 4 7 128,675 $ 6 .2 5 23.7% -0.6% 1 2 ,9 6 5 3 2 4 ,1 2 5 JACKSON 25.0% 5 ,1 1 4 127,850 0.1% $ 0 .8 4 23.3% -24.7% 2 1 ,9 4 6 5 4 8 ,6 5 0 4 ,6 9 7 117,425 0.1% $ 0 .7 8 21.3% 2.0% 5 ,0 5 7 126,425 KALAMAZOO 11.8% 7 5 ,0 6 7 1 ,8 7 6 ,6 7 5 1.0% $ 8 .8 4 28.0% 6.7% 2 6 7 ,9 7 3 6 ,6 9 9 ,3 2 5 6 2 ,9 6 7 1 ,5 7 4 ,1 7 5 1.3% $ 7 .4 1 23.6% 5.6% 6 9 ,3 0 7 1 ,7 3 2 ,6 7 5 0.0% $ 0 .8 2 50.5% 2.0% 713 17,8 2 5 250 6 ,2 5 0 0.0% $ 0 .5 7 64.1% ERR 10.0% $ 4 2 .8 8 31.7% 34.6% 2 ,4 0 3 ,8 2 2 6 0 ,0 9 5 ,5 5 0 507,481 1 2 ,6 8 7 ,0 2 5 10.7% $ 2 8 .5 4 19.8% 1.2% KALKASKA KENT ERR -1.2% 360 9 ,0 0 0 7 6 2 ,4 1 9 1 9 ,0 6 0 ,4 7 5 0 0 5 9 7 ,3 8 3 1 4 ,9 3 4 ,5 7 5 0 KEWEENAW ERR 0 0 0.0% $ 0 .0 0 ERR ERR 0 0 0 0 0.0% S S .0 0 ERR ERR 0 LAKE ERR 0 0 0.0% $ 0 .0 0 ERR ERR 0 0 0 0 0.0% $ 0 .0 0 ERR ERR 0 0 8 ,4 8 8 2 1 2 ,2 0 0 0.1% $3.G3 32.6% 16.4% 2 5 ,8 5 5 6 4 6 ,3 7 5 5 ,9 1 1 1 47,775 0.1% $ 2 .1 1 19.6% 35.4% 6 ,7 4 3 168,575 LAPEER 27.8% LEELANAU ERR 21 525 0.0% $ 0 .0 4 13.0% -69.1% 162 4 ,0 5 0 45 1 ,125 0.0% $ 0 .0 8 35.4% -38.4% 0 0 LENAWEE 1.2% 1 0 ,2 3 0 2 5 5 ,7 5 0 0.1% $ 2 .8 4 27.5% 11.8% 3 7 ,161 9 2 9 ,0 2 5 7 ,5 3 7 188,425 0.2% $ 2 .0 9 22.0% -13.9% 7 ,0 0 7 1 75,175 L1V. 8.9% 1 0 ,252 2 5 6 ,3 0 0 0.1% $ 2 .5 6 34.8% 45.2% 2 9 ,4 7 0 7 3 6 ,7 5 0 5 ,6 3 8 140 ,9 5 0 0.1% $ 1 .4 1 23.1% -0.5% 7 ,6 3 2 190,800 LUCE ERR 0 0 0.0% $ 0 .0 0 ERR ERR 0 0 0 0 0.0% $ 0 .0 0 ERR ERR 60.6% 140 3 ,5 0 0 0.0% $ 0 .3 4 25.8% -34.0% 542 1 3 ,5 5 0 60 1 ,5 0 0 0.0% $ 0 .1 5 12.1% MACOMB -3.9% 8 3 ,3 0 9 2 ,0 8 2 ,7 2 5 1.1% $ 3 .0 0 29.8% 18.1% 2 7 9 ,8 6 7 6 ,9 9 6 ,6 7 5 3 8 ,2 4 2 9 5 6 ,0 5 0 0.8% $ 1 .3 8 MANISTEE -7.1% 2 ,551 6 3 ,7 7 5 0.0% $ 2 .7 7 23.0% -9.4% 11,0 7 3 2 7 6 ,8 2 5 2 ,3 0 8 5 7 ,7 0 0 0.0% $ 2 .5 1 MARQUETTE - O .U 1 6 ,1 3 8 4 0 3 ,4 5 0 0.2% $ 5 .4 4 27.3% 5.9% 5 9 ,1 6 3 1 ,4 7 9 ,0 7 5 1 1 ,490 2 8 7 ,2 5 0 0.2% $ 3 .8 8 NASON 11.3% 2 ,6 0 7 6 5 ,1 7 5 0.0% $ 2 .4 7 22.6% -28.6% 11 ,5 1 7 2 8 7 ,9 2 5 1 ,4 9 0 3 7 ,2 5 0 0.0% MECOSTA 78.2% 376 9 ,4 0 0 0.0% $ 0 .2 5 16.0% -65.2% 2 ,3 4 8 5 8 ,7 0 0 281 7 ,0 2 5 0.0% 3.1% 2 ,6 0 2 6 5 ,0 5 0 0.0% $ 2 .4 8 28.8% 9.3% 9 ,0 2 6 2 2 5 ,6 5 0 1 ,9 6 4 4 9 ,1 0 0 36.3% 2 1 ,3 8 5 53 4 ,6 2 5 0.3% $ 7 .2 7 33.6% 23.3% 6 3 ,7 2 2 1 ,5 9 3 ,0 5 0 1 7 ,7 4 0 4 4 3 ,5 0 0 MACKINAC MENOMINEE MIDLAND 0 0 3.4% 170 4 ,2 5 0 16.4% -27.2% 6 2 ,3 7 2 1 ,5 5 9 ,3 0 0 22.9% -13.8% 2 ,7 7 0 6 9 ,2 5 0 20.8% -8.2% 1 2 ,9 5 8 3 2 3 ,9 5 0 $ 1 .4 1 13.8% •24.6% 2,5 1 1 6 2 ,7 7 5 $ 0 .1 9 9.1% -1.7% 781 1 9 ,525 0.0% $ 1 .8 7 18.9% 13.1% 2 ,6 7 6 6 6 ,9 0 0 0.4% $ 6 .0 3 23.8% 44.6% 1 7 ,324 4 3 3 ,1 0 0 COUNTY CHANGE WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S SALES PERCENT Q2toQ3 CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 0 3 to 0 4 SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 83(1)TO CLOTHES SALES TAX REVENUES SALES TAX PER SALES PERCENT YEAR TAX 1983 SALES TAX SALES 1983 PER SALES PERCENT YEAR CHANGE WOMEN'S 8 4 (1 ) SALES REVENUES SALES TAX TAX 1 98 3 (4 ) 1 9 8 4 (1 ) 1 9 8 4 (2 ) NISSMJXEE 3 4 . IX 429 10,725 O.OX S I . 07 34.2X 7 . OX 1 ,2 5 5 3 1 ,3 7 5 386 9 ,6 5 0 O.OX SO.96 21.7% 206.3X 474 11,8 5 0 MONROE 33.7% 5 ,941 148,525 O .U S I . 10 28.8X 18.7X 20,6 2 1 5 1 5 ,5 2 5 6 ,2 8 3 1 57,075 O .U S I . 17 27.4X 6 . OX 5 ,6 2 0 1 40,500 MONTCALM -3.2% 7 ,2 9 5 1 8 2,375 0.1X S 3 .8 4 2 8 . IX 16.7X 2 5 ,9 2 6 6 4 8 ,1 5 0 5 ,6 5 9 141,475 O .U S 2 .9 7 1 8 .OX -4 .4 X 6 ,9 9 2 174,800 C 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 9 ,3 1 8 2 3 2 ,9 5 0 O .U S I . 48 26.5X -6 .2 X 3 5 ,2 1 7 8 8 0 ,4 2 5 8 ,2 4 0 2 0 6 ,0 0 0 0.2X S I . 31 26. U 11.6X 0.2X S 9 .1 S 29.9X 6 .2 X 4 2 ,8 3 8 1 ,0 7 0 ,9 5 0 9 ,6 0 3 2 4 0 ,0 7 5 0.2X S 6 .8 8 23.9X 7 . IX 1 0 ,3 0 3 257 ,5 7 5 1 3 .OX S 2 4 .6 7 28.8X 2 2 . 1X 3 ,4 6 2 .8 4 3 8 6 ,5 7 1 .0 7 5 4 4 2 ,7 4 3 1 1 ,0 6 8 ,5 7 5 9.3X S 1 0 .9 4 21.4% •42.2% 5 0 4 ,3 9 0 1 2 ,6 0 9 ,7 5 0 MONTH. ERR 1 5 .7X MUSKEGON NEWAYGO 34.6X 1 2 ,819 3 2 0,475 OAKLAND - 7 . IX 9 9 8 ,6 3 7 2 4 ,9 6 5 ,9 2 5 OCEANA ERR OGEMAW 5.3X ONTONAGON OSCEOLA ERR 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR 0 O.OX S S .6 9 28.9X 4.4X 1 2 ,9 2 8 3 2 3 ,2 0 0 3 ,9 1 4 9 7 ,8 5 0 O .U S 5.9S 17.7X ERR 77.7X 0 9 3 ,5 0 0 6 ,0 5 9 151,475 0 O.OX O.OX SO.OO ERR 34.4X ERR 11.6% 0 0 9 8 ,8 7 5 0 969 0 2 4 ,2 2 5 O.OX 3 ,9 5 5 O.OX SO.OO S I .2 8 ERR 17.9X ERR 81.5% 0 1 ,2 9 2 0 3 2 ,3 0 0 ERR 30.4X 0 0 0 0 O.OX SO.OO ERR 0 0 •16 .3 X 1 8 ,0 2 7 4 5 0 ,6 7 5 2 ,6 4 3 6 6 ,0 7 5 O .U S 4.41 15.7X -2 6 .5 X 4 ,4 2 3 110,575 -1 2 .6 X 1 9 ,6 5 2 4 9 1 ,3 0 0 0 3 4 ,0 0 0 ERR 169.9X 0 5 ,4 7 3 O.OX SO.OO OTSEGO 136,825 O .U S 9 .1 3 OTTAWA 2.9X 2 2 ,2 4 5 5 5 6 ,1 2 5 0.3X S 3 .5 4 2 6 . IX -1 .3 X 8 5 ,3 0 6 2 .1 3 2 ,6 5 0 16,2 5 3 4 0 6 ,3 2 5 0.3X S 2 .5 9 22.5X PRES. IS . 2 8 5 0 0 .OX 336 8 ,4 0 0 O.OX SO .59 53.9X 1 7 .SX 623 15 ,575 361 9 ,0 2 5 O.OX SO.63 18.3X ERR 3 ,5 0 9 8 7 .7 2 5 O.OX S 5 .3 6 21.9% - 4 6 . 3X 1 6 ,0 5 4 4 0 1 ,3 5 0 1 ,9 6 7 4 9 ,1 7 5 O.OX S 3 .0 0 13.4X 1.9X 6 0 .SX 1 82,950 0 1 ,3 6 0 ROSCOMMON 0 7 ,3 1 8 3 ,7 4 0 44.BX OSCODA 0 0 S I . 80 ERR ERR 363 9 ,0 7 5 3 ,8 4 4 9 6 ,1 0 0 11.4X 18 1,486 4 ,5 3 7 ,1 5 0 2.4X S 1 9 .8 9 3 4 . 2X 38.9X 5 3 0 ,8 6 9 1 3 ,2 7 1 ,7 2 5 1 2 9 ,8 6 6 3 ,2 4 6 ,6 5 0 2.7X S 1 4 .2 4 20.4X 2 8 . IX 1 5 1 ,8 8 6 3 ,7 9 7 ,1 5 0 ST. CLAIR -51.55S 114,475 2 ,8 6 1 ,8 7 5 1.5X S 2 0 .6 2 27.6X 84.1X 4 1 5 ,2 2 4 1 0 ,3 8 0 ,6 0 0 114,835 2 ,8 7 0 ,8 7 5 2.4X * 2 0 .6 8 19.8X 4.5 X 139 ,1 7 5 3 ,4 7 9 ,3 7 5 ST.JOSEPH 9.8% 1 5 ,4 3 8 3 8 5 ,9 5 0 0.2X S 6 .8 8 33.6X 33.5X 4 5 ,8 8 9 1 ,1 4 7 ,2 2 5 8 ,0 9 4 2 0 2 ,3 5 0 0.2X S 3.61 2 0 .U - 3 .U 1 0 ,4 8 0 2 6 2 ,0 0 0 SANILAC 4.7X 5 ,8 1 6 1 4 5,400 O .U S 3 .5 6 40.7X 82.2X 1 4 ,2 9 2 3 5 7 ,3 0 0 3 ,3 5 0 8 3 ,7 5 0 O .U S 2 .0 5 16.9X 49.9X 5 ,5 5 7 138,925 SCHCRFT. ERR 99 2 ,4 7 5 O.OX SO.29 100.0X ERR 99 2 ,4 7 5 258 6 ,4 5 0 O.OX SO.75 18.6X ERR 8 ,8 3 5 220,875 O .U S 3 .1 0 3 6 . OX 62.4X 2 4 ,5 1 9 6 1 2 ,9 7 5 5 ,0 4 7 126,175 O .U S I . 77 20.8X 13.6X SAGINAW SHIAWASSE -6 .3 X 272 6 ,8 0 0 6 ,3 4 1 158,525 175,425 TUSCOLA 13.4X 7,2 5 1 181,275 O .U S 3 .1 8 2 8 . 1X 3.9X 2 5 ,7 6 7 6 4 4 ,1 7 5 5 ,0 2 9 125,725 O .U S2.21 1 4 .8X -6 .6 X 7 ,0 1 7 VAN SUREN 29. TX 2 ,5 1 4 6 2 ,8 5 0 O.OX SO.94 28.9X -7 .7 X 8 ,7 0 2 2 1 7 ,5 5 0 1 ,4 9 6 3 7 ,4 0 0 O.OX SO.56 22.6X 9.5X 2 ,0 9 8 5 2 ,4 5 0 WASHTENAW 19.3X 84,5 0 1 2 ,1 1 2 ,5 2 5 1 .U S 7 .9 8 3 2 .OX 1 7 .IX 2 6 3 ,8 7 3 6 ,5 9 6 ,8 2 5 5 2 ,5 5 6 1 ,3 1 3 ,9 0 0 1 .U S 4 .9 6 18.6% 12.4X 6 4 ,9 2 3 1 ,6 2 3 ,0 7 5 -1 4 .1 X 1 ,9 2 0 ,6 8 3 5 ,8 8 2 ,4 6 3 1 4 7 ,0 6 1 ,5 7 5 9 0 5 ,0 5 0 2 2 ,6 2 6 ,2 5 0 1 9 .OX S 9 .6 8 20.3X -1 5 .7 X 1 ,3 0 2 ,1 1 1 3 2 ,5 5 2 ,7 7 5 1 1 ,055 2 7 6 ,3 7 5 0.2X *11 .0 1 22.2% 7 ,0 9 5 ,2 2 2 1 7 7 ,3 8 0 ,5 5 0 1 ,8 6 2 ,4 2 2 4 6 ,5 6 0 ,5 5 0 WAYNE WEXFORD OUT/STATE 4 8 ,0 1 7 ,0 7 5 2 5 . IX S 2 0 .5 4 32.7X 43.9X 1 4 ,3 1 0 3 5 7 ,7 5 0 0.2X 4 1 4 .2 5 29.2% -3 .7 X 6 .7 X 2 ,5 5 2 ,3 8 1 6 3 ,8 0 9 ,5 2 5 3 6 .OX 49.9X SS.4X 33.3X 4 8 ,9 3 8 1 ,2 2 3 ,4 5 0 39.1% 18.7% 8.2 X 10,701 267 ,5 2 5 4 9 .8 X 2 ,5 1 7 ,2 1 3 6 2 ,9 3 0 ,3 2 5 COUNTY CHANGE WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S SALES PERCENT Q2toQ3 CLOTHES REVENUES Of TOTAL CAPITA OF TOTAL 03toQ 4 SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 83(1)T O CLOTHES SALES TAX REVENUES SALES TAX PER SALES PERCENT TEAR TAX 1983 1985(4) TOTAL AVERAGE SALES SALES PERCENT TEAR 1 ,5 3 6 ,6 8 9 1 0 0 .OX 3 2 .SX S 1 3 .7 7 4 ,9 5 9 ,6 8 4 6 4 (1 ) SALES REVENUES SALES TAX 1 9 8 4 (2 ) 36.4X 2 3 ,5 6 1 ,3 7 2 5 8 9 ,0 3 4 ,3 0 0 4 ,7 6 0 ,4 5 9 1 1 9 ,0 1 1 ,4 7 5 1 9 8 ,3 8 7 CHANGE WOMEN'S TAX 1 9 8 4 (1 ) -2 .1 X 7 ,6 5 4 ,1 8 9 1 9 1 ,3 5 4 ,7 2 5 6 1 ,4 6 8 SALES TAX 1983 PER 3 4 ,9 1 6 8 7 2 ,9 0 3 100.0X 19.7X S 7 .8 2 4 .4 X 6 ,1 4 2 ,4 7 1 1 5 3 ,5 6 1 ,7 7 4 3 ,6 7 8 1 ,0 9 1 ,9 4 u > CO o> COUNTY PERCENT PER PERCENT CHANGE WOMEN'S OF TOTAL CAPITA OF TOTAL 8 3 (2 )1 0 CLOTHES SALES SALES YEAR 8 4 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 3 (3 )1 0 CLOTHES SALES TAX SALES TAX PER SALES PERCENT YEAR CHANGE WOMEN'S 8 4 (3 ) SALES PERCENT CHANGE TOTAL REVENUES OF TOTAL CAPITA OF TOTAL 83(4)TO SALES SALES TAX REVENUES SALES TAX SALES TAX PER SALES PERCENT YEAR 8 4 (4 ) TAX 1984(3) TOTAL 1984 1984 19 8 4 (4 ) ALCONA O.OX SO.OO O.OX -100.0X 164 4 ,6 0 0 O.OX SO.4 7 6 3 . OX ALGER O.OX SO.OO ERR -100.0% 0 0 O.OX SO.OO ERR ALLEGAN O .IX $ 2 .2 3 24.6X -9 .2 X 1 0 ,1 3 6 2 5 3 ,4 0 0 0.2 X S 3.11 2.8% • 2 0 . OX 108 2 ,7 0 0 O.OX $ 0 .2 8 3 7 . OX -100.0% 0 0 O.OX SO.OO ERR 3 4 . IX -4.7% 7 ,0 2 7 175,675 O .IX $ 2 .1 5 ERR 292 7 ,3 0 0 -100.0% 0 0 23.8% -7 .7 X 2 9 ,5 8 5 7 3 9 ,6 2 5 ALPENA O .IX S 6 .3 S 22.5X 9,5 3 1 2 3 8 ,2 7 5 0.2 X $ 7 .3 7 2 6 .OX 0.5X 1 2 ,0 7 8 3 0 1 ,9 5 0 0.2X S 9 .3 4 3 3 .OX 0.9X 3 6 ,6 4 4 9 1 6 ,1 0 0 ANTRIM O.OX SO.OO O.OX ERR 466 1 1 ,6 5 0 O.OX SO.72 3 4 .6X ERR 882 2 2 ,0 5 0 O.OX $ 1 .3 6 65.4X ERR 1 ,3 4 8 3 3 ,7 0 0 ARENAC O.OX so.oo ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 BARAGA O.OX S 3 .0 6 1,151 2 8 ,7 7 5 O.OX S 3 .3 9 2S.9X 2 1 8 .OX 1 ,5 5 8 3 8 ,9 5 0 O.OX $ 4 .5 9 3 5 .OX 4S.7X 4 ,4 5 1 111,2 7 5 O.OX O.OX 23.3X 1079.5X BARRY O.OX SO. 78 2 1 .OX -6 .9 X 2 ,0 1 3 5 0 ,3 2 5 S I . 10 2 9 .BX 6 0 .BX 2 ,3 4 8 5 8 ,7 0 0 BAY 0.9X S 1 0 .9 2 23.8X 2 5 . BX 5 1 ,1 3 0 1 ,2 7 8 ,4 5 0 0.9 X $ 1 0 .6 6 23.2X 1B.6X 7 0 ,1 9 8 1 ,7 5 4 ,9 5 0 BENZIE O.OX S 6 .3 9 20.7X 19.2X 5 ,8 2 9 145 ,7 2 5 O .IX $ 1 3 .0 1 42.2X 24.8% 3 ,2 3 1 BERRIEN 0.4% S 3 .8 2 2 4 .9X 2.5X 2 7 ,9 6 0 6 9 9 ,0 0 0 O.SX 26.7% 5.7X 2 9 ,1 2 9 BRANCH O .IX S 3 .5 9 2S.5X 2.3X 5 ,241 131 ,0 2 5 O .IX S 3 .2 6 2 3 . IX B.7X 7 ,061 176,525 O .IX $ 4 .3 9 31.2% 3 0 .OX 2 2 ,6 4 4 5 6 6 ,1 0 0 CALHOUN o .tx S I . 32 2 1 .9X 8 ,2 9 8 2 0 7 ,4 5 0 O .IX S I .4 7 2 4 .4X -21.3% 11,851 296 ,2 7 5 0.2X S 2 .0 9 3 4 .SX -14.9% 3 4 ,0 7 1 8 5 1 ,7 7 5 S 4 .0 8 $ 1 .2 8 34.8X 53.7X 6 ,7 5 6 168,9 0 0 0.9X $ 1 4 .6 4 3 1 .8X -0 .2 X 2 2 0 ,5 4 5 5 ,5 1 3 ,6 2 5 8 0 ,7 7 5 O.OX S 7 .2 1 23.4X 0 .9 X 1 3 ,8 0 8 3 4 5 ,2 0 0 728,225 0.4X $ 4 .2 5 27.8X 8 . IX 104 ,8 9 5 2 ,6 2 2 ,3 7 5 CASS O .IX S 2 .0 5 27.2X - 4 0 .BX -22.7% 5 ,5 8 6 1 3 9 ,6 5 0 O .IX S 2 .8 2 37.6X -14.7% 3 ,4 0 0 8 5 ,0 0 0 O.OX $ 1 .7 2 22.9X 10.9X 1 4 ,8 7 3 3 7 1 ,8 2 5 CHARLVX. O.IX S 5 .7 7 19.3X 5 . IX 1 1 ,6 0 0 2 9 0 ,0 0 0 0.2 X S 1 4 .5 7 4B.6X 2 1 .SX 5 ,2 9 0 132 ,2 5 0 O .IX S 6 .6 4 22.2% 2 1 .7X 2 3 ,8 4 9 5 9 6 ,2 2 5 132 ,1 5 0 CHEBOYGAN O.OX S I .4 7 2 3 .OX 1 8 .OX 2 ,061 5 1 ,5 2 5 O.OX S 2 .5 0 3 9 .OX 6 5 .4X 1 ,2 0 4 3 0 ,1 0 0 O.OX $ 1 .4 6 22.8X 3 2 2 .SX 5 ,2 8 6 CHIPPEUA O.OX SO .49 30.8X -10.7X 581 14,5 2 5 O.OX SO.SO 3 1 . 4X 41.4X 277 6 ,9 2 5 O.OX $ 0 .2 4 1 5 .OX 68.9X 1 ,8 4 9 4 6 ,2 2 5 CLARE O.OX S I . 28 17.2X 15.5% 2 ,0 6 3 5 1 ,5 7 5 O.OX S 2 .1 7 29.3X 22.4X 2 ,7 8 2 6 9 ,5 5 0 O.OX $ 2 .9 2 39.5X 87.6X 7 ,0 4 8 1 7 6 ,2 0 0 CLINTON O .IX S I . 76 22.5X * 3 .OX 4 ,6 1 6 1 1 5 ,4 0 0 O .IX S 2 .0 6 26.3X -1 .8 X 5 ,0 3 5 125,875 O .IX S 2 .2 S 28.7X •S .2X 17,5 2 2 4 3 8 ,0 5 0 CRAUFORD O.OX S 3 .1 9 28.7X -3 4 .8 X 1,581 3 9 ,5 2 5 O.OX S 4 .1 8 37.6X - 3 2 . OX 721 18,025 O.OX $ 1 .9 0 17.1% - 7 2 . IX 4 ,2 0 5 105 ,1 2 5 DELTA 0.9X S 3 6 .6 9 23.2X 17 .IX 67.C3B 1 ,6 7 5 ,9 5 0 1.2X $ 4 3 .0 3 27.2X 9.5 X 7 6 ,3 3 6 1 ,9 0 8 ,4 0 0 1.0X $ 4 9 .0 0 30.9X 9 . IX 2 4 6 ,7 0 9 6 ,1 6 7 ,7 2 5 DICKINSON 0.2X S 9 .3 3 24 .a x 3.4X 8 ,8 2 7 2 2 0 ,6 7 5 0.2 X S8.71 2 3 . IX -6.1% 1 2 ,5 9 6 3 1 4 ,9 0 0 0 .2X $ 1 2 .4 3 3 3 .OX 4.9X 3 8 ,1 8 4 9 5 4 ,6 0 0 EATON 0.3X S 5 .9 3 2 8 . IX -1 1 .6 X 1 6 ,256 4 0 6 ,4 0 0 0.3 X $ 4 .6 0 2 1 .BX -9 .4 X 2 1 ,1 7 5 5 2 9 ,3 7 5 0.3X $ 5 .9 9 28.4X -1 .4 X 7 4 ,5 9 8 1 ,8 6 4 ,9 5 0 EMMET 0.2X $ 1 1 .4 5 17.0X 5 . OX 4 0 ,361 1 ,0 0 9 ,0 2 5 0.7X $ 4 3 .8 9 6 5 . IX 6.4X 8 ,4 2 8 2 1 0 ,7 0 0 O .U $ 9 .1 6 13.6X 19.4% 6 1 ,9 8 3 1 ,5 4 9 ,5 7 5 GENESSE 1.7X S 5 .9 5 22.3% 22.9% 1 1 5 ,4 7 7 2 ,8 8 6 ,9 2 5 2 . OX S6.41 2 4 .OX 14.9X 155,495 3 ,8 8 7 ,3 7 5 2 . OX $ 8 .6 3 32.4X 10.5X 4 8 0 ,5 3 6 1 2 ,0 1 3 ,4 0 0 GLADWIN O.OX S 3 .7 7 29.4X 5 4 .BX 2 ,7 9 5 6 9 ,8 7 5 O.OX S 3 ,5 0 27.3X 22.4% 2 ,7 2 0 6 8 ,0 0 0 $ 3 .4 1 26.6% 2 3 .OX 1 0 ,2 2 9 2 5 5 ,7 2 5 GOGEBIC O.OX S 3 .7 6 17.4X 2 . OX 3 ,2 0 9 8 0 ,2 2 5 O .IX S 4 .0 8 1 8 .BX 12.3X 8 ,8 4 3 221,075 O .IX $ 1 1 .2 3 5 1 .9X 17,025 4 2 5 ,6 2 5 GR. TRAV. O .IX S 9 .3 9 23.8X -1 3 .5 X 2 7 ,1 3 9 6 7 8 ,4 7 5 O.SX $ 1 2 .3 6 31 .IX -3 .7 X 2 1 ,0 0 8 5 2 5 ,2 0 0 O.IX 24.2X 2 0 4 .4X 1.2% 8 6 ,6 7 6 2 ,1 6 6 ,9 0 0 O.OX $ 9 .5 7 COUNTY PERCENT PER PERCENT CHANGE WOMEN'S OF TOTAL CAPITA OF TOTAL B3(2)TO CLOTHES SALES SALES YEAR 8 4 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO CLOTHES SALES TAX SALES TAX PER SALES PERCENT YEAR CHANGE WOMEN'S 8 4 (3 ) SALES PERCENT CHANGE TOTAL REVENUES OF TOTAL CAPITA OF TOTAL 8 3 ( 4 >T0 SALES SALES SALES TAX REVENUES SALES TAX TAX PER SALES PERCENT YEAR 8 4 (4 ) TAX 1 9 8 4 (3 ) TOTAL 1984 1984 1 9 8 4 (4 ) 0.9X $ 3 5 .9 4 23.9X 8.6X 6 0 ,4 8 5 1 ,5 1 2 ,1 2 5 1 .IX $ 3 7 .3 8 2 4 .9X -2 .8 X 7 4 ,7 5 5 1 ,8 6 8 ,8 7 5 1.0X $ 4 6 .2 0 30.7X 4 . OX 2 4 3 ,3 4 6 6 ,0 8 3 ,6 5 0 HILLSDALE O.OX SI .S I 2 4 .9X -7 4 .3 X 2 ,4 4 2 6 1 ,0 5 0 O.OX S I . 45 2 4 .OX -3.BX 2 ,3 7 7 5 9 ,4 2 5 O.OX SI .41 23.4X -3 5 .4 X 10,171 254 ,2 7 5 HOUGHTON O.OX SO.59 22.5X -3 4 .4 X 921 2 3 .0 2 5 O.OX $ 0 .6 1 23.2X - 3 8 . OX 1 ,4 7 3 3 6 ,8 2 5 O.OX SO.9 7 37.2X 4.8 X 3 ,9 6 2 9 9 ,0 5 0 HURON O.TX S 3 .0 7 25.6X -14.3X 4 ,4 6 9 111,725 O .IX S 3 .0 6 2 5 .6X - 5 . IX 5 ,9 0 1 147,5 2 5 O .IX S 4 .0 5 33.8X -1 4 .4 X 1 7 ,4 3 6 •4 3 5 ,9 0 0 1 1 ,6 0 1 ,9 0 0 INGHAM 1.7X $ 9 .6 4 22.9X 3.9X 1 0 9,56 0 2 ,7 3 9 ,0 0 0 1.9X S 9 .9 4 23.6X 13.5X 135,4 0 7 3 ,3 8 5 ,1 7 5 1.8X $ 1 2 .2 9 29.2X 8.9 X 4 6 4 ,0 7 6 IONIA O.OX S 1 .1 0 2 4 .BX 10.4X 2 ,4 6 4 6 1 ,6 0 0 O.OX S I . 19 26.7X 23.1% 2 ,7 4 5 6 8 ,6 2 5 O.OX S 1 .3 2 29.8% 1 9 .IX 9 ,2 1 8 2 3 0 ,4 5 0 IOSCO O .IX $ 4 .61 23.2X 7.3X 7 ,1 8 0 179,5 0 0 0.1X S 6 .3 3 31.9X 1.2X 6 ,1 5 4 153,8 5 0 0.1X S 5 .4 3 27.3X -0 .2 X 2 2 ,5 1 2 5 6 2 ,8 0 0 IRON O .IX S 9 .4 4 2 2 .SX S8.3X 6 ,1 4 3 153,575 O.IX $ 1 1 .2 6 26.8X 63.4X 7 ,7 6 5 194,1 2 5 O .IX $ 1 4 .2 4 33.9% 115.0% 2 2 ,8 8 8 5 7 2 ,2 0 0 ISABELLA O.ZX S 5 .9 9 22.7X 4.4X 13,91 5 3 4 7 ,8 7 5 O.ZX S 6 .4 3 2 4 .4X 8 .7 X 1 6 ,7 2 6 4 1 8 ,1 5 0 0.2X 29.3X •2 .2 X 5 7 ,1 3 5 1 ,4 2 8 ,3 7 5 JACKSON O .IX SO.83 2 3 .OX -6 .9 X 5 ,7 2 5 143,125 O .IX SO.94 2 6 .OX -1 5 .7 X 6 ,5 2 7 163,175 O .IX $ 1 .0 8 29.7X 27.6X 2 2 ,0 0 6 5 5 0 ,1 5 0 KALAMAZOO 1 .IX S 8 .1 6 2 5 .9X 1 0 .2X 6 4 ,0 0 6 1 ,6 0 0 ,1 5 0 1 .IX S 7 .5 3 2 4 .OX - 9 . OX 7 0 ,9 1 3 1 ,7 7 2 ,8 2 5 0.9X $ 8 .3 5 26.5X -5 .5 X 2 6 7 ,1 9 3 6 ,6 7 9 ,8 2 5 KALKASKA O.OX SO.OO O.OX ERR O.OX SO.OO O.OX $ 0 .3 2 35.9% - 6 1 . IX 390 9 ,7 5 0 KENT 9.7X $ 3 3 .6 0 23.3X 4.2X 11 .SX $ 5 0 .4 7 3 5 .OX 17.7X 2 ,5 6 5 ,7 3 5 6 4 ,1 4 3 ,3 7 5 KEWEENAW O.OX SO.OO ERR ERR 0 0 O.OX LAKE O.OX SO.OO ERR ERR 0 0 O.OX LAPEER O .IX S2.41 2 2 .4X 18.2X 7 ,6 6 2 191 ,5 5 0 O .IX $ 2 .7 3 25.5X 5 . OX LEELANAU O.OX SO.OO O.OX S3 1 ,3 2 5 O.OX SO. 09 41.7X - 2 2 . 1X 29 LENAWEE O .IX S I .95 20.5X -2 2 .4 X 1 0 ,0 9 9 2 5 2 ,4 7 5 0.2X S2.81 29.5X 10.4X 9 ,5 5 5 6 ,4 1 2 1 60 ,3 0 0 O .IX S I . 60 26.3X -9 .2 X 4 ,6 8 3 0 0 O.OX SO.OO ERR ERR 0 O.OX SO.57 46.8X 9 . OX ERR 0 0 5 6 3 ,5 0 8 1 4 ,0 8 7 ,7 0 0 9 .9 X $ 3 1 .6 9 O.OX -100.0% $ 7 .7 3 140 3 ,5 3 0 8 9 7 ,3 6 3 2 2 ,4 3 4 ,0 7 5 ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 9 ,7 7 1 2 4 4 ,2 7 5 O .IX $ 3 .4 9 32.5X 1 5 . IX 3 0 ,0 8 7 752 ,1 7 5 725 O.OX $ 0 .0 5 22. e x 38.1X 127 3 ,1 7 5 2 3 8 ,8 7 5 O .IX $ 2 .6 6 27.9X •6 .6 X 3 4 ,1 9 8 8 5 4 ,9 5 0 117,0 7 5 O .IX $ 1 .1 7 19.2X - 5 4 . 3X 2 4 ,3 6 5 6 0 9 ,1 2 5 0 O.OX $ 0 .0 0 ERR ERR 33 825 O.OX $ 0 .0 8 6.7X 2 2 .OX -O.SX SO.OO ERR SO.OO ERR LIV. O .IX SI .9 0 3 1 . IX 17.7X LUCE O.OX SO.OO ERR ERR MACKINAC O.OX SO.42 34.4X 2 8 .BX 231 5 ,7 7 5 MACOMB T.OX S 2 .2 4 26.8X - 1 5 . IX 6 8 ,2 3 0 1 ,7 0 5 ,7 5 0 1.2X S 2 .4 6 29.3X -3 .3 X 6 3 ,7 9 0 1 ,5 9 4 ,7 5 0 O.SX $ 2 .3 0 MANISTEE O.OX S 3.01 2 7 .SX -8 .6 X 2,651 6 6 ,2 7 5 O.OX S 2 .8 8 26.3% - s .a x 2 ,3 3 5 5 8 ,3 7 5 O.OX $ 2 .5 4 MARQUETTE O.ZX S 4 .3 7 2 3 .4X - 1 5 . IX 1 4 ,50 2 3 6 2 ,5 5 0 O.SX S 4 .8 9 26.2X -4 .9 X 1 6 ,390 4 0 9 ,7 5 0 0.2X MASON O.OX S 2 .3 8 23.3X - 2 3 .SX 3 ,9 0 2 9 7 ,5 5 0 0.1X S 3 .7 0 36.2% 6 .8X 2 ,8 8 2 7 2 ,0 5 0 MECOSTA O.OX SO.S3 2 5 .3X 28.9X 1 ,3 0 3 3 2 ,5 7 5 O.OX SO.88 42.2X 20.6X 722 1 8 ,0 5 0 MENOMINEE O.OX S2.SS 2 5 .e x 15.9X 2 ,4 8 1 6 2 ,0 2 5 O.OX S 2 .3 7 23.9X 4.2X 3 ,2 5 3 8 1 ,3 2 5 MIDLAND O.SX $ 5 .8 9 23.3X 36.2% 1 9 ,8 6 6 4 9 6 ,6 5 0 0.3% S 6 .7 5 26.7% 14.5% 1 9 ,5 1 7 4 8 7 ,9 2 5 0 0 0 -7 6 .4 X 494 1 2 ,350 27.4X -2 3 .4 X 2 3 2 ,6 3 4 5 ,8 1 5 ,8 5 0 23.2% -8 .5 X 1 0 ,064 2 5 1 ,6 0 0 SS.S3 29.6X 1.6X 5 5 ,3 4 0 1 ,3 8 3 ,5 0 0 O.OX $ 2 .7 3 2 6 .7X 10.5X 10,785 269 ,6 2 5 O.OX $ 0 .4 9 23.4% 9 2 . OX 3 ,0 8 7 7 7 ,1 7 5 O.OX $ 3 .1 0 31.4% 2 5 .OX 1 0 ,374 2 5 9 ,3 5 0 0.3X $ 6 .6 3 26.2% •8 .7 X 7 4 ,4 4 7 1 ,8 6 1 ,1 7 5 338 GRATOIT COUNTY PERCENT PER PERCENT CHANGE WOMEN'S OF TOTAL CAPITA OF TOTAL 8 3 (2 )1 0 CLOTHES SALES SALES YEAR 8 6 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO CLOTHES SALES TAX SALES TAX PER SALES PERCENT YEAR CHANGE WOMEN'S 8 6 (3 ) SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL 8 3 (6 )T 0 SALES SALES SALES TAX REVENUES SALES TAX TAX PER SALES PERCENT YEAR 8 6 (6 ) TAX 1 98 6 (3 ) 1986 1986 1 9 8 6 (6 ) MISSAUKEE O.OX $ 1 .1 0 26.6X 5B.5X 661 11,0 2 5 O.OX $ 1 .1 0 26 . e x 10.0X 678 1 1 ,9 5 0 O.OX $ 1 .1 9 26.9X 1 1 .6X 1 ,7 7 9 6 6 ,6 7 5 MONROE O .IX $ 1 .0 6 2 6 .6X 5 0 . IX 6 ,3 2 2 1 5 8 ,0 5 0 O .U $ 1 .1 7 27.6X 26.3X 6 ,6 6 6 116 ,6 5 0 O .U $ 0 .8 7 20.6X - 2 1 .5X 2 2 ,8 9 1 5 7 2 ,2 7 5 MONTCALM O .IX $ 3 .6 0 22.3X 8.3X 10,1 5 2 2 5 3 ,8 0 0 0.2X $ 5 .3 6 32.3X 6 2 .6X 8 ,6 2 1 2 1 5 ,5 2 5 O .U $ 6 .5 3 27.6X 18.2X 3 1 ,6 2 6 7 8 5 ,6 0 0 MONTM. O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR MUSKEGON O .IX $ 1 .1 6 23.2X 7 ,9 8 8 1 9 9 ,7 0 0 O .U $ 1 .2 7 25.3X -1 9 .6 X 8 ,0 5 1 2 0 1 ,2 7 5 O .U $ 1 .2 8 2 5 .5 2 O .U $ 5 .0 6 17.5X - 6 1 . 7X 1 3 ,2 3 0 3 3 0 ,7 5 0 0.2 X $ 9 .6 7 32.9X 8.8X $ 1 2 .3 2 2 6 . IX - 3 9 . OX 6 2 2 ,6 3 9 1 5 ,5 6 5 ,9 7 5 8.2 X $ 1 5 .3 8 30. U 0 0 O.OX $ 0 .0 0 6 ,1 7 2 156 ,3 0 0 -1 6 .7 X NEUAYGO 0.2X $ 7 .3 8 2 5 .6X 1 6 . SX 7 ,0 6 5 176,125 OAKLAND 8 .2 X $ 1 2 .6 6 2 6 .6X -6 2 .7 X 698,561 1 2 ,6 6 3 ,5 2 5 OCEANA O.OX $ 0 .0 0 ERR ERR OGEMAU O .IX $ 9 .2 2 27.6X 7 8 .OX ONTONAGON O.OX SO.OO ERR ERR OSCEOLA O.OX $ 1 .71 23.ax 53.6X 0 0 5 ,9 8 9 169,725 O.OX $ 0 .0 0 ERR ERR O .U $ 9 .1 1 27. U 67.2X 0 0 O.OX SO.OO ERR ERR 1,761 6 6 ,0 2 5 O.OX $ 2 .3 3 32.5X 6 6 .5X OSCOOA O.OX $ 0 .0 0 ERR ERR 0 0 OTSEGO 0.1X $ 7 .3 8 26.6X B2.6X 5 ,8 6 7 166,675 ERR O .U $ 9 .3 9 ERR 3.2 X O.OX $ 0 .0 0 ERR O .U $ 6 .6 2 22.9X ERR 0 0 -1 0 .2 X 3 ,8 5 1 9 6 ,2 7 5 1 ,0 0 6 ,5 2 5 5 1 ,7 0 7 ,8 2 5 ERR $ 1 .8 5 3 5 .OX 6 0 ,1 8 1 2S.9X O.OX $ 0 .0 0 3.2 X -3 7 .7 X 2 ,0 6 8 ,3 1 3 ERR 0 $ 9 .7 8 789,9 2 5 6 5 .OX 3 S .0 7 5 O.OX 3 1 ,5 9 7 ERR 0 O .U 0 -1 3 .6 X 27.9X 1 ,6 0 3 O.OX $ 0 .0 0 0 ERR 0 0 2 2 ,1 3 6 5 5 3 ,3 5 0 0 0 5 ,6 2 5 135,625 0 0 •2 9 .6 X 16 ,786 6 1 9 ,6 0 0 1 ,8 0 8 ,0 7 5 OTTAWA 0.3X $ 3 .1 3 27.2X -1 0 .3 X 1 7 ,1 6 0 6 2 9 ,0 0 0 0 .3 3 $ 2 .7 3 23.7X •23.9X 19.2S 8 6 8 1 ,6 5 0 0.3X $ 3 .0 6 26.6X -1 3 .6 X 7 2 ,3 2 3 PRES. IS . O.OX $ 0 .6 6 18.6X 36200.OX 566 1 3 ,6 5 0 O.OX $ 0 .9 6 27.6X 90.9X 707 1 7 ,6 7 5 O.OX $ 1 .2 6 3S.8X 110.6X 1 ,9 7 7 6 9 ,6 2 5 ROSCOMMON 0.1X $ 5 .8 7 2 6 .1X -5 .6 X 5 ,2 5 6 1 3 1 ,6 0 0 O .U $ 8 .0 2 35.8X -1 9 .6 X 3 ,6 3 6 9 0 ,8 5 0 O.OX $ 5 .5 5 26.7X 3 .6X 16,701 367 ,5 2 5 SAGINAU 2.5X S 16.6S 2 3 .BX 2 9 .SX 151,206 3 ,7 8 0 ,1 0 0 2.7X $ 1 6 .5 8 23.7X 1S.7X 2 0 6 ,6 8 7 5 ,1 1 2 ,1 7 5 2.7X $ 2 2 .6 2 3 2 . IX 12.7X 6 3 7 ,6 6 3 1 5 .9 3 6 ,0 7 5 ST. CLAIR 2.3X $ 2 5 .0 7 2 6 .OX 8.2X 1 3 9,79 9 3 ,6 9 6 ,9 7 5 2.5X $ 2 5 .1 8 2 6 . 1X 126.9X 185 ,6 7 5 6 ,6 3 6 ,8 7 5 2.6X $33 .6 1 3 2 .OX 6 2 .OX 5 7 9 ,2 8 6 1 6 ,6 8 2 ,1 0 0 ST.JOSEPH 0.2X $ 6 .6 7 2 6 . IX -O.SX 9 ,8 6 3 2 6 6 ,0 7 5 0.2X $ 6 .3 9 26.5X -16.9X 1 1 ,7 8 6 2 9 6 ,6 5 0 0 .2 X $ 5 .2 5 29.3X -2 3 .7 X 6 0 ,2 0 3 1 ,0 0 5 ,0 7 5 SANILAC O .U $ 3 .61 2 8 . IX 82.3X 6 ,27 1 156,775 O .U $ 3 .8 6 3 1 . 7X 96.5X 6 ,5 9 9 116,975 O .U $ 2 .8 2 23.3X •20 .9 X 1 9 ,7 7 7 6 9 6 ,6 2 5 SCHCRFT. O.OX $ 0 .7 9 19.6X ERR 621 10,525 O.OX $ 1 .2 3 30.3X ERR 638 1 0 ,9 5 0 O.OX $ 1 .2 8 31.5X 362.6X 1 ,3 8 9 3 6 ,7 2 5 SHIAUASSE O .U $ 2 .2 3 26.2X 9.3X 5 ,19 1 129,7 7 5 O .U $ 1 .8 2 2 1 .6X -6 .6 X 7 ,6 6 2 1 9 1 ,5 5 0 O .U $ 2 .6 9 31.6X -1 3 .3 X 26,2 6 1 606 ,0 2 5 8 6 7 ,3 0 0 TUSCOLA O .U $ 3 .0 8 2 0 .7X 16 .OX 16,20 5 6 0 5 ,1 2 5 0.3 X $ 7 .1 1 6 7 .BX 132.2X 5 ,6 6 1 161 ,0 2 5 O .U $ 2 .6 8 16.6X -2 2 .2 X 3 3 ,8 9 2 VAN SUREN O.OX $ 0 .7 9 3 1 .6X O.OX 1 ,7 8 9 6 6 ,7 2 5 O.OX $ 0 .6 7 27.0X -3 6 .3 X 1 ,2 6 6 3 1 ,1 5 0 O.OX $ 0 .6 7 18.8X -S 0.6X 6 ,6 2 9 165,725 UASHTENAU 1.1X $ 6 .1 3 2 3 .OX 7.6X 7 3 ,9 1 0 1 ,8 6 7 ,7 5 0 1.3X $ 6 .9 8 26.2X 2.6X 9 0 ,9 7 5 2 ,2 7 6 ,3 7 5 1.2X $ 8 .5 9 32.2X 7.7X 2 8 2 ,3 6 6 7 ,0 5 9 ,1 0 0 2 1 .2X S 1 3 .9 2 29.3X -16.2X 9 0 3 ,2 8 7 2 2 ,5 B 2 ,1 7 5 15.9X $ 9 .6 6 20.3X -3 2 .3 X 1 ,3 3 9 ,6 9 2 3 3 ,6 8 7 ,3 0 0 17.7X $ 1 6 .3 2 30. U 0.2X $ 1 0 .6 6 2 1 .5X 11.9X 1 6 ,73 9 3 6 8 ,6 7 5 0.3X $ 1 6 .6 8 29.6X •O.SX 1 3,2 9 6 3 3 2 ,3 5 0 0 .2 X $ 1 3 .2 6 26.7X -7 .1 X 25.3X 5 7 .7 X 2 ,3 8 2 ,5 9 5 5 9 ,5 6 6 ,8 7 5 23.9X 3 9 .9 X 3 ,1 9 6 ,6 3 6 7 9 ,9 1 0 ,8 5 0 32. U 25.2X 9 ,9 5 8 ,6 6 6 2 6 8 ,9 6 6 ,6 0 0 UAYNE UEXFORD OUT/STATE 6 1 .OX 61.9X 6 2 .U -3 0 .3 X 6 ,6 6 9 ,9 6 0 1 1 1 ,2 6 8 ,5 0 0 6 9 ,7 8 9 1 ,2 6 6 ,7 2 5 COUNTY PERCENT PER PERCENT CHANGE WOMEN'S OF TOTAL CAPITA OF TOTAL 8 3 (2 )1 0 CLOTHES SALES SALES YEAR B S (2) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 83(3)TO CLOTHES SALES TAX SALES TAX PER SALES PERCENT YEAR AVERAGE 8 4 (3 ) SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL 8 3 ( 4 )T0 SALES SALES SALES TAX REVENU 1984 1984 SALES TAX TAX TOO.OX 2 5 .AX S9.7V SALES PERCENT YEAR 8 4 (4 ) 1 9 8 4 (4 ) 7 .1 X 5 .8 8 1 ,8 6 9 1A2.0A1.72S 39.7A 8 PER TAX 1984(3) TOTAL CHANGE WOMEN'S 9 9 3 ,6 9 7 1 0 0 .OX 23.5X 1 8 .9 0 1 .2 X 7 ,5 8 6 ,2 2 6 1 8 9 ,6 5 5 ,6 5 0 5 2 ,8 8 9 1 ,3 2 2 ,2 2 7 lOO.OX 3 1 .4X $ 1 1 .8 5 •0 .9 X 2 4 ,1 7 0 ,8 2 5 6 0 4 ,2 7 171,231 4 ,2 8 COUNTY WOMEN'S MLES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 84(1> T 0 CLOTHES M IE S TAX MLES PER MLES PERCENT YEAR CHANGE WOMEN'S 8 5 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(2)TO CLOTHES MLES TAX SALES TAX PER MLES PERCENT YEAR CHANGE WOMEN'S 8 5 (2 ) MLES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(3>T0 SALES TAX MLES TAX 198 5 (1 ) PER SALES PERCENT YEAR CHANGE 8 5 (3 ) TAX 19 8 5 (2 ) 19 8 5 (3 ) ALCONA 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ALGEt 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX so.oo ERR ERR ALLEGAN 6 ,1 4 9 153,725 O .IX S I .8 8 15.5X 19.6X 9 ,9 8 7 249 ,6 7 5 0.2X S 3 .0 6 2 5 . 1X 37.2X 1 3 ,7 7 8 3 4 4 ,4 5 0 0.2X S 4 .2 2 34.6X 35.9% ALPENA 6 ,0 1 2 1 5 0 ,3 0 0 O .IX S 4 .6 5 1 8 .OX - 1 1 . 4X 8 ,0 0 7 2 0 0 ,1 7 5 O .IX S 6 .1 9 2 4 .OX -2 .9 X 8 ,6 2 9 2 1 5 ,7 2 5 O.U S 6 .6 8 25.9X -9 .5 X ANTRIM 289 7 ,2 2 5 O.OX SO.45 7.5X ERR 869 2 1 ,7 2 5 O.OX S I . 34 2 2 .5X ERR 1 ,8 9 6 4 7 ,4 0 0 O.OX $ 2 .9 3 49. U 306.9X 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 1 ,2 5 2 3 1 ,3 0 0 O.OX S 3 .6 9 23.5X 20.6X 1 ,3 4 3 3 3 ,5 7 5 O.OX S 3 .9 6 25.2X 16.7X O.OX ARENAC 0 0 O.OX SO.OO ERR ERR BARAGA 939 2 3 ,4 7 5 O.OX S 2 .7 7 17.6X 33.4X BARRY BAY BENZIE 1 ,0 4 8 2 6 ,2 0 0 O.OX SO.57 25.7X 7 .6X 1 ,1 8 8 2 9 ,7 0 0 4 2,9 4 1 1 ,0 7 3 ,5 2 5 0.9X S8.9S 2 2 . IX -8 .3 X 4 9 ,9 9 5 1 ,2 4 9 ,8 7 5 -100.0% SO.65 29.2X -1 6 .4 X 1 ,1 5 6 2 8 ,9 0 0 O.OX SO.63 28.4X -4 2 .6 X O.SX S 1 0 .4 3 2 5 . 7X -4 .6 X 3 8 ,7 2 2 9 6 8 ,0 5 0 0 .6X S 8 .0 8 19.9X - 2 4 .3X 2 ,1 7 3 5 4 ,3 2 5 O.OX S 4 .8 5 14.6% 15.3X 3 ,2 1 7 8 0 ,4 2 5 O .IX S 7 .1 8 21.6X 12.3X 6 ,1 1 7 152 ,9 2 5 O .IX $ 1 3 .6 5 41 .OX 4.9X BERRIEN 1 9 ,0 4 2 4 7 6 ,0 5 0 0.4X S 2 .7 8 2 0 .5X - 1 2 . OX 2 4 ,001 6 0 0 ,0 2 5 0 .4X S 3 .5 0 2 5 . SX -B .2X 2 3 ,8 7 9 5 9 6 ,9 7 5 0.4X S 3 .4 9 25.7X -1 4 .6 X 40.4X BRANCH 6 ,0 8 5 152,125 O .IX S 3 .7 9 20 . ex 3 2 .9X 8 ,7 6 8 2 1 9 ,2 0 0 O .IX S 5 .4 5 29.9X 5 2 . IX 7 ,3 5 8 1 83 ,9 5 0 O .IX S 4 .5 8 2 5 .U CALHOUN 6 ,7 9 2 1 6 9,800 O .IX S I . 20 19.4X 5.4X 9 ,4 5 6 2 3 6 ,4 0 0 0.2X S 1 .6 7 27.0X 2 6 .SX 8 ,5 8 9 2 1 4 ,7 2 5 O .U S 1 .5 2 24.6X 3.5X CASS 3 ,0 6 2 7 6 ,5 5 0 0.1X S I . 55 13.8X 66.9X 5 ,9 2 1 1 48,025 O .IX S 2 .9 9 26.6X 4 6 . IX 7 ,7 2 5 1 93,125 O .U S 3 .9 0 34.8X 38.3X CHARLVX. 2 ,1 5 4 5 3 ,8 5 0 O.OX S 2.71 8.7X -B.8X 5 ,3 2 1 1 33,025 0.1X S 6 .6 8 2 1 .SX 15.7X 1 1 ,9 4 9 2 9 8 ,7 2 5 0.2X S 15.01 48.3X 755 18,875 O.OX SO.91 3 i .ax -6 .4 X 9 06 2 2 ,6 5 0 O.OX S I . 10 38.2X -2 5 .4 X 575 1 4 ,3 7 5 O.OX SO .70 24.2X CHEBOYGAN 3 . OX - 7 2 .U 116 2 ,9 0 0 O.OX S 0 .1 0 100.ox -7 2 .5 X 0 0 O.OX SO.OO 0 0 O.OX SO.OO CLARE 1 ,9 3 5 4 8 ,3 7 5 O.OX S 2 .0 3 2 1 .3X 9S.9X 2 ,0 2 7 5 0 ,6 7 5 OiOX S 2 .1 3 22.3X 6 6 .BX 2 ,5 6 9 6 4 ,2 2 5 O.OX S 2 .7 0 28.2X 2 4 .5X CLINTON 4 ,9 3 6 1 2 3,400 O .IX S2.21 23.6X 2 5 .SX 5 ,5 0 4 137,600 O .IX S 2 .4 6 26.3X 39.8X 5 ,2 8 2 1 3 2 ,0 5 0 0.1X $ 2 .3 6 25.3X 14.4% 643 16,075 O.OX S I . 70 1 3 .OX -7 .5 X 1,231 3 0 ,7 7 5 O.OX S 3 .2 5 24.9X 1.9X 1 ,7 7 7 4 4 ,4 2 5 O.OX S 4 .6 9 35.9X 12.4X 5 1 ,0 8 8 1 ,2 7 7 ,2 0 0 1.0X S 3 2 .7 9 17.7X 10.6X 6 4 ,2 7 4 1 ,6 0 6 ,8 5 0 1.0X S 4 1 .2 6 22.2X 12.4X 8 0 ,7 8 7 2 ,0 1 9 ,6 7 5 1.3X $ 5 1 .8 6 27.9X 2 0 .SX 9 ,1 0 2 2 2 7 ,5 5 0 0.2X S S.98 22.7X 24.7X 9 ,7 7 0 2 4 4 ,2 5 0 O.ZX S 9 .6 4 2 4 .4X 3.3 X 9 ,6 3 7 2 4 0 ,9 2 5 O.ZX S 9 .5 1 24.1% 9 .2 X 14,1 8 5 3 5 4 ,6 2 5 0.3X S4.01 18. IX - 1 2 . SX 2 2 ,1 7 6 S 5 4 .4 0 0 0.4X S 6 .2 8 28.3X 5.6X 1 9 ,2 9 8 4 8 2 ,4 5 0 0.3X S 5 .4 6 24.6X 18.7X •8.7X CHIPPEUA CRAWFORD DELTA DICKINSON EATON EMMET O.OX -100.0X O.OX -100.0X 2 ,3 3 5 5 8 ,3 7 5 O.OX S 2 .5 4 4 . OX -1 2 .4 X 10,541 263 ,5 2 5 0.2X $ 1 1 .4 6 1 8 .OX O .IX 3 6 ,8 6 6 9 2 1 ,6 5 0 0.6X $ 4 0 .0 9 62.8X GENESSE 1 0 8 ,1 3 0 2 ,7 0 3 ,2 5 0 2.2X S 6 .0 0 2 1 . 2X 5.7X 1 1 4 ,4 2 3 2 ,8 6 0 ,5 7 5 1.9X S6.3S 22.4X 6 .7 X 120,3 8 2 3 ,0 0 9 ,5 5 0 1.9X S 6 .6 8 23.6X 4 .2X GLADWIN 2 ,0 0 8 5 0 ,2 0 0 O.OX $ 2 .5 2 1 7 .IX 17.8X 3 ,4 1 3 8 5 ,3 2 5 O .IX $ 4 .2 8 2 9 .OX 13.4X 3 ,3 2 9 8 3 ,2 2 5 O .U S 4 .1 7 2 8 .3 S 1 9 .U O.OX SO.75 23.9X - 8 1 .6X 0.5X $ 1 3 .5 7 3 4 .4X 9 .8 X GOGEBIC GR. TRAV. 671 16,7 7 5 O.OX SO.85 27.2X -6 6 .7 X 738 1 8 ,4 5 0 O.OX SO.94 29.9X - 7 5 . IX 590 1 4 ,7 5 0 1 4 ,9 6 0 3 7 4 ,0 0 0 0.3X S 6.81 17.3X -1 6 .4 X 1 8 ,3 3 9 4 5 8 ,4 7 5 O.SX SG.35 21.2X -1 1 .1 X 2 9 ,7 9 8 7 4 4 ,9 5 0 COUNTY WOMEN'S SALES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 6 4 (1 >10 CLOTHES SALES TAX SALES PER SALES PERCENT YEAR CHANGE WOMEN'S 8 5 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(Z)TO CLOTHES SALES TAX SALES TAX HILLSDALE HOUGHTON SALES PERCENT YEAR CHANGE WOMEN'S 8 5 (2 ) 10.1X 6 6 ,7 4 1 1 ,6 6 8 ,5 2 5 9 0 ,1 2 5 O .IX S 2 .1 4 1B.9X 27.9X 2 ,9 3 9 3 ,6 0 5 SALES PER SALES PERCENT YEAR CHANGE 8 5 (3 ) TAX 1 9 8 5 (3 ) 2 1 .5X 1 ,3 7 5 ,3 7 5 PERCENT OF TOTAL CAPITA OF TOTAL 84(3)TO SALES TAX 1 9 8 5 (2 ) 1.1X $ 3 4 .0 0 5 5 ,0 1 5 SALES REVENUES TAX 1985(1> GRATOIT PER 1 .IX $ 4 1 .2 5 26.1X 1 4 .BX 7 0 ,2 7 6 1 ,7 5 6 ,9 0 0 1.1X $ 4 3 .4 4 27.5X 16.2X 7 3 ,4 7 5 oiox $ 1 .7 5 15.4X 1 6 .OX 6 ,1 2 6 153,1 5 0 O .IX S 3 .6 4 3 2 . IX 150.9X 5 6 .OX 955 2 3 ,8 7 5 O.OX SO.63 19.6X 4 1 . IX 1 ,1 5 0 2 8 ,7 5 0 O.OX $ 0 .7 6 23.6X 2 9 . IX 1 ,4 3 7 3 5 ,9 2 5 O.OX SO.95 29.5X 2 ,6 3 9 6 5 ,9 7 5 O .IX S I . 81 15.4X 1.7X 4 ,3 6 6 109 ,1 5 0 O.IX S 2 .9 9 2 5 .5X -2 .3 X 4 ,2 5 6 106,4 0 0 O .IX $ 2 .9 2 2 4 .SX -4 .8 X 9 9 ,2 7 9 2 ,4 8 1 ,9 7 5 2 . OX S 9.01 24.5X - 1 2 . IX 106 ,9 3 0 2 ,6 7 3 ,2 5 0 1.7X $ 9 .7 0 26.4X 0.7X 9 0 ,4 3 0 2 ,2 6 0 ,7 5 0 1.5X S8.21 22.3X -17.5X IONIA 1,501 3 7 ,5 2 5 O.OX SO .72 16.9X -1 2 .7 X 2 ,6 6 0 6 6 ,5 0 0 O.OX $ 1 .2 8 29.9X 16.2X 1 ,9 5 5 4 8 ,8 7 5 O.OX SO.94 2 2 .OX -2 0 .7 X IOSCO 3 ,4 6 5 8 6 ,6 2 5 0.1X $ 3 .0 6 18.3X -1 2 .3 X 4 ,6 3 2 115 ,8 0 0 O.IX $ 4 .0 8 2 4 .SX - 1 1 . 4X 6 ,5 1 5 162,875 O .IX $ 5 .7 5 34.4X •9 .3 X IRON 5 ,4 6 2 1 3 6,550 O .IX $10.01 18.9X 42.5X 7 ,1 2 9 178 ,2 2 5 O.IX $ 1 3 .0 7 24.7X 3 8 .SX 8 ,6 8 2 2 1 7 ,0 5 0 0.1X $ 1 5 .9 2 3 0 . IX 4 1 .3X 2 4 ,7 3 8 6 1 8 ,4 5 0 0.5X $ 1 1 .4 3 33.5X 82.9X 1 4 ,6 8 4 3 6 7 ,1 0 0 0.2X $ 6 .7 8 19.9X 13.3X 1 5 ,6 3 8 3 9 0 ,9 5 0 0.3 X $ 7 .2 3 2 1 .2X 12.4X 4 ,5 4 3 113,575 O .IX $ 0 .7 5 1 4 .IX -3 .3 X 4 ,6 5 9 116,475 O .IX $ 0 .7 7 14.4X -7 .9 X 4 ,7 3 3 118,325 O .IX $ 0 .7 8 14.7X -1 7 .3 X 5 6 ,6 7 7 1 ,4 1 6 ,9 2 5 1.1X $ 6 .6 7 2 1 . IX -1 0 .0 X 6 7 ,9 7 8 1 ,6 9 9 ,4 5 0 1.1X $ 8 .0 0 25.3X -1 .9 X 7 2 ,0 4 7 1 ,8 0 1 ,1 7 5 1.2X S 8 .4 8 26 .9 X 12.6X 236 5 ,9 0 0 O.OX $ 0 .5 4 19.2X -5 .6 X 216 5 ,4 0 0 O.OX $ 0 .4 9 17.6X ERR 163 4 ,0 7 5 O.OX SO.3 7 13.3X ERR 5 4 4 ,2 4 4 1 3 ,6 0 6 ,1 0 0 20.8X 7.2X 6 0 4 ,5 6 3 1 5 ,1 1 4 ,0 7 5 9.8X $ 3 4 .0 0 2 3 . IX 1.2X 6 1 5 ,8 5 5 1 5 ,3 9 6 ,3 7 5 10.0X S 3 4 .6 4 23.5X 9.3X 0 0 11.0X $30 .6 1 O.OX $ 0 .0 0 255 6 ,3 7 5 O.OX $ 3 .2 5 24.5X ERR 380 9 ,5 0 0 O.OX 36 .5 X ERR 0 0 O.OX SO.OO ERR 1 1 1 ,0 8 3 2 7 7 ,0 7 5 0.2X $ 3 .9 6 30.2% 68.9% 1445.3X HURON INGHAM ISABELLA JACKSON KALAMAZOO KALKASKA KENT KEUEENAU LAKE LAPEER O.OX ERR 0 0 O.OX fO.OO ERR ERR 6 ,0 4 4 151.100 O .IX $ 2 .1 6 16.5X 2.3X 0 0 O.OX $ 0 .0 0 ERR ERR 7 ,5 9 8 189 ,9 5 0 O.IX $ 2 .7 1 20.7X 12.7X $ 4 .8 4 ERR 44.6X 0 0 O.OX $ 0 .0 0 295 7 ,3 7 5 O.OX $ 0 .5 3 2 4 . BX ERR 819 2 0 ,4 7 5 O.OX $ 1 .4 6 LEHAVIEE 6 ,5 2 6 1 6 3 ,150 O .IX $1 .8 1 16.3X -1 3 .4 X 8 ,7 8 1 2 1 9 .5 2 5 O .IX $ 2 .4 4 24.7X 25.3X 9 ,2 6 6 2 3 1 ,6 5 0 O.IX $ 2 .5 8 2 6 .OX -8 .2 X LIV. 3 ,7 6 9 9 4 ,2 2 5 O .IX $ 0 .9 4 21 .BX -3 3 .2 X 4 ,0 7 2 101 ,8 0 0 O.IX $ 1 .0 2 23.5X -4 6 .6 X 3 ,8 5 7 9 6 ,4 2 5 O .IX $ 0 .9 6 22.3X -39.8X LEELANAU LUCE MACKINAC MACOMB MANISTEE MARQUETTE MASON MECOSTA MENOMINEE MIDLAND O.OX - 1 0 0 .OX 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX SO.OO ERR 15 375 O.OX $ 0 .0 4 0 .6X - 7 5 . OX 338 8 ,4 5 0 O.OX $ 0 .8 3 12.9X 98.8X 1,961 4 9 ,0 2 5 O.OX $ 4 .8 2 74.8X 4 7 ,4 9 3 1 ,1 8 7 ,3 2 5 1.0X $ 1 .7 1 1 6 .BX 24.2X 7 8 ,0 3 2 1 ,9 5 0 ,8 0 0 1.3X $ 2 .8 1 27.5X 2 5 . IX 7 1 ,0 2 3 1 .7 7 5 ,5 7 5 1.1X $ 2 .5 6 2 5 , IX 4.1X 2 ,2 5 9 5 6 ,4 7 5 O.OX $ 2 .4 5 24.8X - 2 . IX 2 ,5 5 0 6 3 ,7 5 0 O.OX $ 2 .7 7 27.9X -7 .9 X 2 ,3 0 9 5 7 ,7 2 5 O.OX $ 2 .5 1 25.3X -12.9X 1 0 ,8 8 9 2 7 2,225 0.2X $ 3 .6 7 16.3X -5 .2 X 15,2 6 4 3 8 1 ,6 0 0 O.ZX $ 5 .1 5 22.9X 17.8X 1 9 ,7 0 2 4 9 2 ,5 5 0 0 .3X $ 6 .6 5 29.5X 35.9% 2 ,8 5 1 7 1 ,275 O .IX $ 2 .7 0 1 4 .7X 9 1 .3X 5 ,0 2 5 125,625 O.IX $ 4 .7 6 2 5 .9X 1 0 0 .IX 6 ,4 2 2 160,5 5 0 O .IX S 6 .0 9 3 3 . IX 64.6X ERR 748.9X 460 11,5 0 0 O.OX $0 .3 1 8.8 X 63.7X 814 2 0 ,3 5 0 O.OX $ 0 .5 5 15.6X 4.2X 1 ,1 4 7 2 8 ,6 7 5 O.OX SO.78 2 2 .OX - 1 2 .OX 2 ,1 6 9 5 4 ,2 2 5 O.OX $ 2 .0 7 22.6X 10.4X 2 ,6 6 3 6 6 ,5 7 5 O.OX $ 2 .5 4 27.7X -O.SX 2 ,2 9 7 5 7 ,4 2 5 O.OX $ 2 .1 9 23.9X -7 .4 X 1 7 ,032 4 2 5 ,8 0 0 0.3X $ 5 .7 9 20.7X -4 .0 X 1 7 ,0 1 0 4 2 5 ,2 5 0 0.3X $ 5 .7 8 20.7X -1 .8 X 1 8 ,8 5 8 4 7 1 ,4 5 0 0.3X S 6 .4 1 22.9X -5 .1 X COUNTY 1WOMEN'S SALES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 4 (1 )T0 CLOTHES SALES SALES TAX PER SALES PERCENT YEAR CHANGE WOMEN'S 8 5 (1 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 84(2)TO CLOTHES SALES TAX SALES TAX PER SALES PERCENT YEAR CHANGE WOMEN'S 8 5 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 4 (3 )T 0 SALES TAX SALES TAX 1985(1) PER SALES PERCENT YEAR CHANGE 8 5 (3 ) TAX 1 9 8 5 (2 ) 1 9 8 5 (3 ) 262 6 ,5 5 0 O.OX SO.65 19.2X - 3 2 . IX 454 1 1 ,3 5 0 O.OX $ 1 .1 3 33.2X -4 .2 X 566 1 4 ,1 5 0 4 1 .4X 28.3X 8 .4 7 1 2 1 1 ,7 7 5 0.2X S 1 .5 7 2 1 . IX 3 4 .8X 1 0 ,2 9 4 2 5 7 ,3 5 0 0.2X $ 1.91 25.6X 83.2X 9 ,6 1 4 2 4 0 ,3 5 0 O.OX 0.2 X $ 1 .4 1 MONROE $ 1 .7 8 2 4 .OX 5 2 . IX MONTCALM 6 .1 3 3 153,325 O.IX S 3 .2 2 1 9 .IX 8 .4 X 7 ,6 2 6 1 9 0 ,6 5 0 O .IX $ 4 .0 1 2 3 .SX 9 . IX 9 ,2 1 7 2 3 0 ,4 2 5 O .IX $ 4 .8 5 28.7X -9 .2 X 0 0 O.OX SO.OO ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 0 0 O.OX $ 0 .0 0 ERR ERR 8 ,2 3 6 2 0 5 ,9 0 0 0.2X S I . 31 22.7X O.OX 9 ,2 7 4 2 3 1 ,8 5 0 0.2 X $ 1 .4 7 25.5X 26.7X 1 0 ,2 5 6 2 5 6 ,4 0 0 0.2X $ 1 .6 3 28.2X 28.4X 0.2X $ 6 .3 7 20.5X -7 .4 X 9 ,5 6 8 2 3 9 ,2 0 0 0.2X $ 6 .8 5 2 2 . IX - 7 . IX 12,461 3 1 1 ,5 2 5 0.2X $ 8 .9 2 28.7X 76.9X 9.2X $ 1 1 .2 7 2 1 .4X 3 . OX 5 1 0 ,3 6 3 1 2 ,7 5 9 ,0 7 5 8.3 X $12 .6 1 23.9X 1.2X 5 1 8 ,7 8 3 1 2 ,9 6 9 ,5 7 5 8.4 X $ 1 2 .8 2 2 4 .3X 4 . IX 0 0 ERR ERR 0 0 7 ,2 9 3 182,325 2 5 .4X 20.4X 9 ,3 3 5 2 3 3 ,3 7 5 1 ,4 0 7 3 5 ,1 7 5 0 0 MISSAUKEE HONTM. MUSKEGON NEWAYGO 8 ,8 9 5 2 2 2,375 OAKLAND 4 5 5,925 1 1 ,3 9 8 ,1 2 5 OCEANA OGEMAW G 6 ,3 8 2 0 O.OX $ 0 .0 0 ERR ERR 1 5 9,550 O.IX $ 9 .7 1 22.2X 6 3 . IX 0 0 O.OX $ 0 .0 0 ERR ERR 994 2 4 ,8 5 0 O.OX $1 .3 1 2 1 .8X 2.6X OSCODA 0 0 O.OX $ 0 .0 0 ERR ERR OTSEGO 1 ,855 4 6 ,3 7 5 O.OX $ 3 .0 9 IS .IX OTTAWA 14,354 3SB.8S0 O.SX $ 2 .2 8 303 7 ,5 7 5 O.OX $ 0 .5 3 1,9 9 6 4 9 ,9 0 0 O.OX SAGINAW 132,554 ST. CLAIR ONTONAGON O.OX $ 0 .0 0 O .IX $ 1 1 .0 9 O.OX $ 0 .0 0 ERR ERR 0.2 X $ 1 4 .2 0 3 2 .SX 55.9X O.OX $ 1 .8 6 30.9X - 2 0 . IX O.OX $ 0 .0 0 ERR $ 5 .4 5 26.6X •44.3X 0 0 O.OX $ 0 .0 0 ERR 1 ,204 3 0 ,1 0 0 O.OX $ 1 .5 9 26.4X -6 .8 X 0 0 O.OX $ 0 .0 0 ERR ERR • 2 9 .8X 4 ,2 0 9 105,225 O .IX $ 7 .0 2 34.3X -4 .8 X 3 ,2 6 6 8 1 ,6 5 0 O .IX 18.7X -1 1 .7 X 1 9 ,7 4 6 4 9 3 ,6 5 0 O.SX $ 3 .1 4 25.7X O.SX 2 1 ,8 0 7 5 4 5 ,1 7 5 0.4X $ 3 .4 7 28.4X 2 7 . IX 1 5 . IX - 1 6 . IX 567 1 4 ,1 7 5 O.OX $ 0 .9 9 28.3X 56.2X 668 1 6 ,7 0 0 O.OX $ 1 .1 7 33 .3 X 22.3X $ 3 .0 5 13.9X 1.5X 3 ,9 3 4 9 8 ,3 5 0 O .IX $ 6 .0 1 27.5X 2.3X 5 ,7 9 0 144,7 5 0 O .IX $ 8 .8 4 40.5X 10.2X 3 ,3 1 3 ,8 5 0 2.7X $ 1 4 .5 3 20.7X 2 . IX 1 4 9 ,0 4 8 3 ,7 2 6 ,2 0 0 2.4X $ 1 6 .3 4 23.2X -1 .9 X 158,4 8 3 3 ,9 6 2 ,0 7 5 2.6X $ 1 7 .3 7 24.7X 4.8X 1 2 8,789 3 ,2 1 9 ,7 2 5 2.6X $ 2 3 .2 0 19.4X 12.2X 1 5 9 ,1 2 8 3 ,9 7 8 ,2 0 0 2.6X $ 2 8 .6 6 23.9X 14.3X 174,4 9 0 4 ,3 6 2 ,2 5 0 2.8X $ 3 1 .4 3 26.3X 24.8X ST.JOSEPH 7 ,8 3 7 195,925 0.2X $ 3 .4 9 1 8 .IX -3 .2 X 9 ,3 9 3 234 ,8 2 5 0.2X $ 4 .1 9 2 1 .6X -1 0 .4 X 9 ,6 7 2 2 4 1 ,8 0 0 0.2X $4 .3 1 22.3X -1 .7 X SANILAC 2 ,8 4 9 71 ,225 O .IX $ 1 .7 5 1 2 .SX - 1 5 . OX 5 ,8 9 9 147,475 O .IX $ 3 .6 2 2 5 .9X 6.2X 8 ,1 2 2 2 0 3 ,0 5 0 O .IX $ 4 .9 8 3 5 .6X 29.5X OSCEOLA PRES. IS . ROSCOMMON SCHCRFT. ERR a ERR 378 9 ,4 5 0 O.OX $ 1 .1 0 19.5X 46.5X 582 14,5 5 0 O.OX $ 1 .7 0 30.1X 1 1 4 .OX 689 17,225 O.OX $ 2 .0 1 3 5 .6X 63.7X SHIAWASSE 5 ,4 6 6 136,650 O .IX $ 1 .9 2 1 9 .OX 8.3X 7 ,4 6 2 186 ,5 5 0 O .IX $ 2 .6 2 2 6 .OX 17.7X 7 ,3 0 0 182,5 0 0 O .IX $ 2 .5 7 25.4X 40.6X TUSCOLA - 5 6 . IX 5 ,8 2 2 145,550 O .IX $ 2 .5 6 2 0 .8X 1S.8X 6 ,4 8 6 162 ,1 5 0 O .IX $ 2 .8 5 23.2X -7 .6 X 7 ,1 0 7 177,675 O .IX $ 3 .1 2 2 5 .4X VAN SUREN 874 2 1 ,8 5 0 O.OX $ 0 .3 3 1 7 .OX -4 1 .6 X 1 ,2 3 2 3 0 ,8 0 0 O.OX $ 0 .4 6 2 4 .OX - 4 1 .3X 1 ,6 8 6 4 2 ,1 5 0 O.OX $ 0 .6 3 32.8X -5 .8 X WASHTENAW 5 4 ,4 8 6 1 ,3 6 2 ,1 5 0 1.1X $ 5 .1 5 16.2X 3.7X 7 5 ,7 1 0 1 ,8 9 2 ,7 5 0 1.2X $ 7 .1 5 22.5X 16.6X 9 3 ,2 8 7 2 ,3 3 2 ,1 7 5 1.SX $ 8 .8 1 2 7 .BX 26.2% 7 3 6 ,1 1 6 1 8 ,4 0 2 ,9 0 0 14.9X $ 7 .8 7 17.2X -1 8 .7 X 1 ,0 6 3 ,3 4 1 2 6 ,5 8 3 ,5 2 5 24.9X -1B.3X 9 5 0 ,4 7 8 2 3 ,7 6 1 ,9 5 0 1 5 .4X $ 1 0 .1 6 22.3X 5.2X 10,255 256,375 0.2X $ 1 0.21 2 4 .4X -7 .2 X 8 ,8 4 2 2 2 1 ,0 5 0 O .IX 2 1 .OX -1 7 .4 X 12,0 6 3 3 0 1 ,5 7 5 0 .2X $12 .0 1 28.7% -18.2% OUT/SIATE2 ,1 4 2 ,4 9 9 5 3 ,5 6 2 ,4 7 5 19.4X 1 5 .0 X 2 ,6 8 9 ,2 9 6 6 7 ,2 3 2 ,4 0 0 4 3 .6X 6 .8 X 2 ,6 6 6 ,0 3 7 6 6 ,6 5 0 ,9 2 5 24.1X 11.9X WAYNE WEXFORD 43.3X 17.2X $ 1 1 .3 7 $8.8 1 2 4 .3X 4 3 . IX COUNTY WOMEN'* SALES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8*(1>TO CLOTHES SALES TAX MLES PER SALES PERCENT TEAR CHANGE WOMEN'S 8 5 (1 ) MLES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL S*(2)TO CLOTHES SALES TAX SALES TAX AVERAGE TEAR 8 * 5 ,9 7 8 CHANGE WOMEN'S 8S(2> MLES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8*(3>TO MLES TAX SALES 100.0X 19.*X S 7 .5 8 SALES PERCENT TEAR CHANGE 8 5 (3 ) 1 9 8 5 (3 ) * .0 X 6 ,1 7 3 ,6 1 9 1 5 * ,3 * 0 .* 7 5 * 1 ,9 8 0 PER TAX 1 9 8 5 (2 ) * .9 5 1 .1 * 7 1 2 3 .7 7 8 ,6 7 5 3 3 ,8 3 9 MLES PERCENT TAX 1 » 8 5 (1 ) TOTAL PER 1 ,0 * 9 ,4 9 5 100.0X 2*.2X S 9 .4 0 0 .5 X 6 ,1 8 1 .8 5 2 1 5 4 ,5 * 6 .3 0 0 * 2 ,3 5 9 1 ,0 5 8 ,9 8 0 100.0X 24 .3 X 8.8X I COUNTY WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S MLES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL B 4 (4 )tO SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 5 ( 1 ) t o CLOTHES SALES REVENUES SALES TAX PER SALES PERCENT YEAR 8 5 (4 ) TAX TAX UBS SALES TAX MLES 1985 PER SALES PERCENT YEAR CHANGE WOMEN'S 8 6 (1 ) SALES TAX 0 0 O.OX SO.OO ERR 0 0 O.OX SO.OO ERR - 1 0 0 .OX ERR ALLEGAN 9 ,8 8 3 24 7 ,075 O .U S 3 .0 3 24.8X ALPENA 1 0 ,6 7 6 2 6 6 ,9 0 0 O .IX S 8 .2 6 ANTRIM 806 2 0 ,1 5 0 O.OX S 1 .2 4 SALES TAX 1 9 8 6 (1 ) ALOES PERCENT OF TOTAL TAX 198 5 (4 ) ALCONA SALES REVENUES 1 9 8 6 (2 ) 0 0 0 SO.OO ERR ERR 0 0 O.OX 0 0 0 0 O.OX 0 O.OX so.oo ERR ERR 0 0 O.OX 40.6X 3 9 ,7 9 7 9 9 4 ,9 2 5 6 ,3 0 4 1 57 ,6 0 0 O .U S 1 .9 3 18.7X 2.SX 9 ,1 3 5 228 ,3 7 5 O .U 3 2 . OX - 1 1 . 6X 3 3 ,3 2 4 8 3 3 ,1 0 0 9 ,4 0 0 2 3 5 ,0 0 0 0.2X S 7 .2 7 20.9X 56.4X 10,4 0 3 2 6 0 ,0 7 5 0.2X 20.9X -8 .6 X 3 ,8 6 0 9 6 ,5 0 0 194 4 ,8 5 0 O.OX SO.30 4 .4 X -3 2 .9 X 1 ,0 3 9 2 5 ,9 7 5 O.OX ARENAC 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 O.OX BARAGA 1 ,7 9 3 4 4 ,8 2 5 O.OX S 5 .2 8 3 3 . 7X 1 5 .U 5 ,3 2 7 133 ,1 7 5 935 2 3 ,3 7 5 O.OX $ 2 .7 6 1 5 .9X -0 .4 X 1 ,4 5 6 3 6 ,4 0 0 O.OX 681 17,025 O.OX SO.37 1 6 .7X - 7 1 .OX 4 ,0 7 3 101,825 578 1 4 ,4 5 0 O.OX SO.32 1 6 . IX -4 4 .8 X 860 2 1 ,5 0 0 O.OX 6 3 ,0 6 7 1 ,5 7 6 ,6 7 5 O.SX S13.15 32.4X -1 0 .2 X 194,725 4 ,8 6 8 ,1 2 5 4 2 ,1 7 1 1 ,0 5 4 ,2 7 5 0.8X S 8 .7 9 22.3X -1 .8 X 4 5 ,5 3 4 1 ,1 3 8 ,3 5 0 0.7 X O .U BARRY BAY BENZIE BERRIEN BRANCH 3 ,4 0 6 8 5 ,1 5 0 O.OX S 7 .6 0 22.8X 5.4X 1 4 ,9 1 3 3 7 2 ,8 2 5 2 ,5 2 1 6 3 ,0 2 5 O.OX S 5 .6 2 1 7 .OX 1 6 .OX 3 ,4 6 5 8 6 ,6 2 5 2 6 ,1 3 3 6 5 3 ,3 2 5 0.3X S3.81 28. U -1 0 .3 X 9 3 ,0 5 5 2 ,3 2 6 ,3 7 5 1 8 ,1 3 8 4 5 3 ,4 5 0 0.3X S2.6S 2 0 .OX -4 .7 X 2 3 ,4 3 9 5 8 5 ,9 7 5 0.4X 7 ,0 8 7 1 7 7,175 O .IX S 4.41 2 4 .2X 0.4X 2 9 ,2 9 8 7 3 2 ,4 5 0 6 ,1 5 7 1 53,925 O .U S 3 .8 3 1 9 .U 1.2X 8 ,6 4 1 2 1 6 ,0 2 5 O .U 1 0 ,1 2 7 2 5 3 ,1 7 5 O .IX S I . 79 2 9 .OX • 1 4 .5X 3 4 ,9 6 4 8 7 4 ,1 0 0 9 ,3 2 1 2 3 3 ,0 2 5 0.2X SI .6 5 25.6X 3 7.2X 8 ,2 0 8 2 0 5 ,2 0 0 O .IX CASS 5 ,5 1 5 137,875 O .IX $ 2 .7 9 2 4 .6X 62.2X 2 2 ,2 2 3 5 5 5 ,5 7 5 3 ,8 4 0 9 6 ,0 0 0 O .U S I .9 4 2 0 . IX 2 5 .4X 4 ,6 9 7 117,425 O .U CHARLVX. 5 ,3 0 4 1 3 2,600 O .IX S 6 .6 6 2 1 .4X 0.3X 2 4 ,7 2 8 6 1 8 ,2 0 0 3 ,0 7 0 7 6 ,7 5 0 O .U S 3 .8 6 10.7X 42.5X 6 ,4 2 3 160,575 O .U 136 3 ,4 0 0 O.OX S O .16 5.7X -8 8 .7 X 2 ,3 7 2 5 9 ,3 0 0 292 7 ,3 0 0 O.OX SO.35 1 1 .4X - 6 1 . 3X 1 ,0 6 8 2 6 ,7 0 0 O.OX 0 0 O.OX SO.OO O.OX -1 0 0 .0 X 116 2 ,9 0 0 0 0 O.OX SO.OO ERR - 1 0 0 .OX 0 0 O.OX CALHOUN CHEBOYGAN CHIPPEWA CURE 2 ,5 6 3 6 4 ,0 7 5 O.OX S 2 .6 9 28.2X -7 .9 X 9 ,0 9 4 2 2 7 ,3 5 0 2 ,1 1 9 5 2 ,9 7 5 O.OX S 2 .2 2 20.3X 9 .5 X 2 ,4 8 5 6 2 ,1 2 5 O.OX CLINTON 5 ,1 8 7 129,675 O .IX $ 2 .3 2 24.8X 3 . OX 2 0 ,9 0 9 5 2 2 ,7 2 5 4 ,6 0 9 1 15,225 O .U S 2 .0 6 23.4X -6 .6 X 4 ,4 4 1 111,025 O .IX CRAWFORD 1 ,3 0 0 3 2 ,5 0 0 O.OX S 3 .4 3 26.3X 60.3X 4 ,951 123,775 564 1 4 ,1 0 0 O.OX SI .4 9 11.ex -12.3X 1,271 3 1 ,7 7 5 O.OX DELTA 9 2 ,9 6 8 2 ,3 2 4 ,2 0 0 1.1X S 5 9 .6 8 32.2X 2 1 .BX 2 8 9 ,1 1 7 7 ,2 2 7 ,9 2 5 6 7 ,5 0 5 1 ,6 8 7 ,6 2 5 DICKINSON 1 1 ,5 2 0 2 8 8 ,0 0 0 O .U $ 1 1 .3 6 2 8 .BX -8 .5 X 4 0 ,0 2 9 1 ,0 0 0 ,7 2 5 7 ,811 195,275 EATON 2 2 ,8 3 4 5 7 0 ,8 5 0 0.3X S 6 .4 6 29. U 7.8X 7 8 ,4 9 3 1 ,9 6 2 ,3 2 5 15,261 3 8 1 ,5 2 5 EMMET 8 ,9 2 5 2 2 3,125 O .U S 9 .7 0 1 5 .2X 5 .9X 5 8 ,6 6 7 1 ,4 6 6 ,6 7 5 4 ,4 5 7 1 11,425 GENESSE 167,305 4 ,1 8 2 ,6 2 5 2 . OX S 9 .2 9 3 2 . BX 7.6X 5 1 0 ,2 4 0 1 2 ,7 5 6 ,0 0 0 107,845 2 ,6 9 6 ,1 2 5 GLADWIN 3 ,0 1 5 7 5 ,375 O.OX S 3 .7 8 2 5 .6X 10.8X 1 1,7 6 5 294 ,1 2 5 2 ,5 2 4 6 3 ,1 0 0 470 1 1 ,750 O.OX SO.60 1 9 .OX - 9 4 . 7X 2 ,4 6 9 6 1 ,7 2 5 221 2 3 ,4 0 6 5 8 5 ,1 5 0 0.3X $ 1 0 .6 6 2 7 . IX 1 1 .4X 8 6 ,5 0 3 2 ,1 6 2 ,5 7 5 13,9 5 9 GOGEBIC GR. TRAV. 1.2X $ 4 3 .3 3 18.3X 32. U 7 4 ,7 8 5 1 ,8 6 9 ,6 2 5 1.1X O .U S7.71 2 1 .OX -1 4 .2 X 9 ,1 2 9 2 2 8 ,2 2 5 O .U 0.3X S 4 .3 2 18.5X 7.6X 2 3 ,1 3 4 5 7 8 ,3 5 0 0.4X O .U S 4 .8 5 6 . OX 90.9X 1 3 ,5 4 7 338,6 7 5 0.2X 2 . OX S 5 .9 9 22.3X -0 .3 X 120 ,8 5 2 3 ,0 2 1 ,3 0 0 1.8X O.OX S 3 .1 6 1 9 .5X 2 5 .7X 3 ,7 0 8 9 2 ,7 0 0 O .U 5 ,5 2 5 O.OX S0.2B 13.2X - 6 7 . IX 474 11,8 5 0 O.OX 3 4 8 ,9 7 5 0.3X S 6 .3 6 1 9 .OX -6 .7 X 1 7 ,4 1 4 4 3 5 ,3 5 0 O.SX COUNTY WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S SALES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 4 ( 4 ) t o SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 S (1 )tO CLOTHES SALES REVENUES SALES TAX PER SALES PERCENT YEAR 8 5 (4 ) TAX TAX 1985 SALES TAX YEAR CHANGE WOMEN'S 8 6 (1 ) 63,59V 1 ,5 8 9 ,9 7 5 6 ,3 9 9 159,975 HOUGHTON 1,3 2 6 3 3 ,1 5 0 SALES PERCENT REVENUES OF TOTAL SALES TAX SALES TAX 19 8 6 (1 ) HILLSDALE HURON SALES PERCENT TAX 19 8 5 (4 ) GRATOIT SALES 1985 PER 1 9 8 6 (2 ) 0.8X $39 .3 1 2 4 .9X •1 4 .9 X 255,631 6 ,3 9 0 ,7 7 5 2 7 ,1 3 9 678 ,4 7 5 0.5X $ 1 6 .7 7 1 1 .OX -5 0 .7 X 5 9 ,2 1 9 1 ,4 8 0 ,4 7 5 0.1X S 3 .8 0 33.6X 169.2X 1 9 ,069 4 7 6 ,7 2 5 5 ,1 7 1 129,275 0.1X $ 3 .0 7 20.3X 43.4X 6 ,1 9 5 154,875 0.1X 0 . 0% SO.88 27.2X •1 0 .0 X 4 ,8 6 8 1 2 1 ,7 0 0 1,111 2 7 ,7 7 5 O.OX $ 0 .7 3 17.8X 16.3X 1 ,5 5 8 3 8 ,9 5 0 O.OX 0.1X 0.9 X 5 ,6 8 6 1 4 7 ,150 0.1X S 4 .0 4 3 4 . IX -0 .3 X 1 7 ,1 4 7 4 2 8 ,6 7 5 3 ,8 4 9 9 6 ,2 2 5 0.1X S 2 .6 4 18.2X 45.9% 5 ,0 5 9 1 26,4 7 5 109,025 2 ,7 2 5 ,6 2 5 1.3X S 9 .8 9 26.9X -1 9 .5 X 4 0 5 ,6 6 4 1 0 ,1 4 1 ,6 0 0 6 4 ,1 2 3 2 ,1 0 3 ,0 7 5 1.5X S 7 .6 3 22.6X -1S.3X 8 9 ,0 7 2 2 ,2 2 6 ,8 0 0 1.4X IONIA 2 ,7 8 0 6 9 ,5 0 0 O.OX SI .3 4 3 1 .3X 1.3X 8 ,8 9 6 2 2 2 ,4 0 0 1 ,4 8 9 3 7 ,2 2 5 O.OX $ 0 .7 2 19.8% -0 .8 X 3 ,1 3 2 7 8 ,3 0 0 O.OX IOSCO 4 ,3 1 5 1 0 7,675 0.1X S 3 .8 1 22.8X -2 9 .9 X 1 8 ,9 2 7 4 7 3 ,1 7 5 3 ,1 2 2 7 8 ,0 5 0 0.1X $ 2 .7 5 15.7% -9 .9 X 4 ,9 1 7 122,9 2 5 0.1X IRON 7 ,5 9 0 1 8 9 ,750 0.1X S 1 3 .9 2 26.3X -2 .3 X 2 8 ,8 6 3 7 2 1 ,5 7 5 4 ,7 6 8 119,200 0 .1X $ 8 .7 4 2 1 .5X -12.7% 5 ,7 9 9 144,9 7 5 0.1X ISABELLA 1 8 ,638 4 7 0 ,9 5 0 0.2X $ 8 .7 0 25.SX 12.6X 7 3 ,8 9 8 1 ,8 4 7 ,4 5 0 1 4 ,5 8 3 364 ,5 7 5 0 .3 X $ 6 .7 4 23.5% - 4 1 . IX 1 4 ,8 0 2 3 7 0 ,0 5 0 0.2X JACKSON 18,343 4 5 8 ,5 7 5 0.2X S 3 .0 3 56.8X 1 8 1 .OX 3 2 ,2 7 8 8 0 6 ,9 5 0 1 2 ,9 7 6 3 2 4 ,4 0 0 0.2X $ 2 .1 4 25.9X 185.6X 1 7 ,1 8 7 4 2 9 ,6 7 5 0.3X KALAMAZOO 7 1 ,5 4 2 1 ,7 8 8 ,5 5 0 0.9X $ 8 .4 2 2 6 . 7X 0 .9X 2 68,2 4 4 6 ,7 0 6 ,1 0 0 5 4 ,7 7 2 1 ,3 6 9 ,3 0 0 1.0X $ 6 .4 5 22.2X *3.4% 6 0 ,6 0 3 1 ,5 1 5 ,0 7 5 0.9X 613 1 5 ,325 O.OX $ 1 .4 0 49.9X 337.9X 1 ,2 2 8 3 0 ,7 0 0 284 7 ,1 0 0 O.OX $ 0 .6 5 22.8X 20.3X 390 9 ,7 5 0 O.OX 8 5 2 ,6 3 3 2 1 ,3 1 5 ,8 2 5 10.4X $ 4 7 .9 5 32.6X -5 .0 X 2 ,6 1 7 ,2 9 5 6 5 ,4 3 2 ,3 7 5 6 4 1 ,0 5 4 1 6 ,0 2 6 ,3 5 0 11.7% $ 3 6 .0 5 2 2 . IX 17.8X 6 7 1 ,5 8 3 1 6 ,7 8 9 ,5 7 5 10.2X 407 10,1 7 5 O.OX $ 5 .1 8 3 9 . IX ERR 1 ,042 2 6 ,0 5 0 244 6 ,1 0 0 O.OX S3.11 17.2% ERR 444 1 1 ,1 0 0 O.OX 0 0 O.OX $0.00 ERR ERR 0 0 0 0 O.OX $0.00 ERR ERR 0 0 O.OX 1 1 ,926 ■298,150 0.1X $ 4 .2 6 32.5X 2 2 . IX 36,651 9 1 6 ,2 7 5 8 ,9 4 3 223 ,5 7 5 0 .2X $ 3 .1 9 21.4% 4 8 .OX 8 ,7 1 2 2 1 7 ,8 0 0 0.1X 75 1 ,875 O.OX $ 0 .1 3 6.3 X 1S8.6X 1 ,1 8 9 2 9 ,7 2 5 0 0 O.OX $ 0 .0 0 O.OX 379 9 ,4 7 5 O.OX INGHAH KALKASKA KENT KEWEENAW LAKE LAPEER LEELANAU LENAWEE ERR 1 1 ,0 2 8 2 7 5 ,7 0 0 0.1X $ 3 .0 7 3 1 .OX 15.4X 35,601 8 9 0 ,0 2 5 6 ,9 6 2 174,050 0 .1X $ 1 .9 4 17.7% 6.7% 9 ,7 2 5 2 4 3 ,1 2 5 0.1X LIV. 5 ,6 1 3 140,325 0.1X $ 1 .4 0 32.4X 19.9X 17,311 4 3 2 ,7 7 5 5 ,3 2 8 133,200 0.1X $ 1 .3 3 22.7X 41.4% 7 ,1 7 2 179,3 0 0 0 .1X LUCE 0 0 O.OX $0.00 ERR ERR 0 0 0 O.OX ERR 0 0 O.OX 7 ,7 2 5 O.OX $ 0 .7 6 1 1 .8X 836.4X 2 ,6 2 3 6 5 ,5 7 5 0 O.OX $0.00 $0.00 ERR 309 0 0 976 2 4 ,4 0 0 O.OX 8 6 ,9 3 5 2 ,1 7 3 ,3 7 5 1.1X $ 3 .1 3 30.7X 36.3X 283,4 8 3 7 ,0 8 7 ,0 7 5 6 0 ,2 7 2 1 ,5 0 6 ,8 0 0 1.1X $ 2 .1 7 18.5X 26.9X 9 4 ,5 5 2 2 ,3 6 3 ,8 0 0 1.4X 2 ,0 0 6 '5 0 ,1 5 0 O.OX $ 2 .1 8 2 2 .OX - 1 4 . IX 9 ,1 2 4 2 2 8 ,1 0 0 2 ,0 3 3 5 0 ,8 2 5 O.OX $ 2 .2 1 32.2% •10 .0 X 2 ,6 7 2 6 6 ,8 0 0 O.OX 0.3X MACKINAC MACOMB MANISTEE MARQUETTE O.OX -100.0% 2 0 ,891 5 2 2 ,2 7 5 0.3X $ 7 .0 5 3 1 .3X 27.5X 6 6 ,7 4 6 1 ,6 6 8 ,6 5 0 1 6 ,3 3 8 4 0 8 ,4 5 0 0 .3 X $ 5 .5 1 20.6% 5 0 .OX 18,921 4 7 3 ,0 2 5 MASON 5 ,1 2 6 1 2 8 ,150 0.1X $ 4 .8 6 26.4X 77.9X 19,424 4 8 5 ,6 0 0 4 ,1 4 6 103,650 0.1X $ 3 .9 3 23.7X 4 5 .4X 4 ,7 0 6 1 1 7 ,6 5 0 0.1X MECOSTA 2 ,791 6 9 ,7 7 5 O.OX $ 1 .8 9 53.5X 286.6X 5 ,2 1 2 1 3 0 ,3 0 0 1 ,4 4 5 3 6 ,1 2 5 O.OX $ 0 .9 8 1 6 .OX 2 1 4 .IX 1 ,9 8 5 4 9 ,6 2 5 O.OX 2 ,4 7 7 6 1 ,9 2 5 O.OX $ 2 .3 6 25.8X -23.9% 9 ,6 0 6 2 4 0 ,1 5 0 1 ,5 2 0 3 8 ,0 0 0 O.OX $ 1 .4 5 18.9X -29.9% 2 ,1 0 5 5 2 ,6 2 5 O.OX 2 9 ,3 2 0 7 3 3 ,0 0 0 0.4X $ 9 .9 6 3S.7X S0.2X 8 2 ,2 2 0 2 ,0 5 5 ,5 0 0 3 0 ,7 4 6 768,650 0.6X $ 1 0 .4 5 2 3 . IX 8 0 .SX 3 1 ,9 5 8 7 9 8 ,9 5 0 0.5X MENOMINEE MIDLAND COUNTY WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S SALES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 4 ( 4 ) t o SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 5 (1 )tO CLOTHES SALES TAX SALES PER SALES PERCENT YEAR 8 5 (4 ) TAX TAX REVENUES 1985 SALES TAX SALES PERCENT YEAR CHANGE WOMEN'S 8 6 (1 ) SALES PERCENT REVENUES OF TOTAL SALES TAX SALES TAX 1 9 8 5 (4 ) MISSAUKEE SALES 1985 PER TAX 1 9 8 6 (1 ) 1 9 8 6 (2 ) 85 2 ,1 2 5 O.OX SO .21 6.2 X -8 2 .2 X 1 .3 6 7 3 4 ,1 7 5 0 0 O.OX SO.OO ERR -1 0 0 .0 X 0 0 O.OX 11,7 5 8 2 9 3 ,9 5 0 0.1 X S 2 .1 8 29.3X 1 5 2 .OX 4 0 ,1 3 7 1 ,0 0 3 ,4 2 5 1 0 ,3 2 7 2 5 8 ,1 7 5 0 .2 X S I .9 2 22.4X 21.9X 1 1 ,1 9 8 2 7 9 ,9 5 0 0.2X 9 ,1 0 5 2 2 7 ,6 2 5 0.1X S 4 .7 9 28.4X 5.6X 3 2 ,0 8 1 8 0 2 ,0 2 5 4 ,5 9 0 1 1 4 ,7 5 0 0.1 X $ 2 .4 1 1 7 . IX -2 5 .2 X 7 ,0 7 4 1 7 6 ,8 5 0 0.1X 0 0 O.OX SO.OO ERR ERR 0 0 0 0 O.OX SO.OO ERR ERR 0 0 O.OX MUSKEGON 8 ,5 9 3 2 1 4 ,8 2 5 0.1 X S I .3 6 23.6X 6.7 X 3 6 ,3 5 9 9 0 8 ,9 7 5 8 ,1 6 9 2 0 4 ,2 2 5 0.1 X S I .3 0 21.ex •0 .8 X 9 ,3 2 2 2 3 3 ,0 5 0 0.1X NEUAYGO 12,4 4 4 3 1 1 ,1 0 0 0.2X S 8.91 28.7X -5 .9 X 4 3 ,3 6 8 1 ,0 8 4 ,2 0 0 8 ,8 5 6 2 2 1 ,4 0 0 0.2 X S 6 .3 4 19.2X -0 .4 X 9 ,6 0 0 2 4 0 ,0 0 0 0.1X OAKLAND 7.9X S 1 6 .0 2 2 ,1 3 3 ,4 9 1 5 3 ,3 3 7 ,2 7 5 4 6 8 ,5 2 4 1 1 ,7 1 3 ,1 0 0 8.5 X $ 1 1 .5 8 21 .OX 2.8X 5 3 4 ,0 6 8 1 3 ,3 5 1 ,7 0 0 8 . IX 0 0 0 0 O.OX SO.OO ERR ERR 0 0 O.OX 2 8 ,7 6 7 719 ,1 7 5 5 ,3 9 7 134,925 0 .1 X $ 8 .2 1 20.6X 7 ,0 5 2 1 7 6 ,3 0 0 0.1 X MONROE MONTCALM HONTM. £ 4 8 ,4 2 0 1 6 ,2 1 0 ,5 0 0 3Q.4X 4.1X OCEANA 0 0 O.OX SO.OO ERR ERR OGEHAU 5 ,7 5 7 143,925 0.1X S 8 .7 6 2 0 .OX -6 .7 X ONTONAGON 0 0 O.OX SO.OO ERR ERR 954 2 3 ,8 5 0 O.OX S I . 26 20.9X - 3 2 . OX OSCODA 0 0 O.OX SO.OO ERR ERR OTSEGO 2 ,9 4 7 73,6 7 5 O.OX S 4 .9 1 2 4 .OX OTTAWA 2 9 ,8 1 9 5 2 0 ,4 7 5 0.3 X S 3.31 4£5 11,625 O.OX SO.81 O.OX OSCEOLA PRES. IS . ROSCOMMON -1 5 .4 X 0 0 0 0 O.OX SO.OO ERR 4 ,5 5 9 113,975 734 1 8 ,3 5 0 O.OX SO.9 7 17.3X 0 0 0 0 O.OX $ 0 .0 0 ERR ERR - 2 3 . SX 1 2 ,2 7 7 3 0 6 ,9 2 5 4 ,2 6 0 106,5 0 0 0.1 X $ 7 .1 0 33.3X 2 7 . IX 8 . IX 7 6 ,7 2 6 1 ,9 1 8 ,1 5 0 15,871 3 9 6 ,7 7 5 0.3 X $ 2 .5 2 23.2X -3 4 .2 X 2 ,0 0 3 5 0 ,0 7 5 134 3 ,3 5 0 O.OX SO.23 O.OX ERR 0 0 O.OX 1 ,0 6 0 2 6 ,5 0 0 O.OX 0 0 O.OX 129.6X 2 ,5 2 1 6 3 ,0 2 5 O.OX 20.3X 10.6X 1 9 ,2 4 9 4 8 1 ,2 2 5 0.3X 26.9X -5 5 .8 X 101 2 ,5 2 5 O.OX O.OX -2 6 .2 X 2 ,5 9 3 6 4 ,8 2 5 S 3 .9 6 18.1X -2 8 .6 X 1 4 ,3 1 3 3 5 7 ,8 2 5 1 ,3 2 6 3 3 ,1 5 0 $ 2 .0 2 12.7X -3 3 .6 X 2 ,7 1 1 6 7 ,7 7 5 SAGINAU 2 0 1 ,1 2 2 5 ,0 2 8 ,0 5 0 2.5X S 22.05 3 1 .4X -1 .6 X 6 4 1 ,2 0 7 1 6 ,0 3 0 ,1 7 5 1 4 5 ,4 4 8 3 ,6 3 6 ,2 0 0 2.7 X $ 1 5 .9 4 2 1 . IX 9.7X 1 5 8 ,4 6 8 3 ,9 6 1 ,7 0 0 2.4X ST. CLAIR 2 0 2 ,2 9 6 5 ,0 5 7 ,4 0 0 2.5X $ 3 6 .4 4 3 0 .4X 9 . IX 6 6 4 ,7 0 3 1 6 ,6 1 7 ,5 7 5 133,274 3 ,3 3 1 ,8 5 0 2.4X $ 2 4 .0 0 19.8X 3.SX 1 6 3 ,2 8 0 4 ,0 8 2 ,0 0 0 2.5X ST.JOSEPH 16,5 1 3 4 1 2 ,8 2 5 0.2X S 7 .3 6 3 8 .OX 4 0 . IX 4 3 ,4 1 5 1 ,0 8 5 ,3 7 5 1 2 ,443 3 1 1 ,0 7 5 0.2 X $ 5 .5 5 26.4X 58.8X 14,041 3 5 1 ,0 2 5 0.2X 5 ,941 148,525 0 .1 X S 3 .6 4 2 6 .OX 29.2X 2 2 ,811 5 7 0 ,2 7 5 4 ,2 7 5 106,875 0 .1 X $ 2 .6 2 16.2X 5 0 . IX 7 ,6 8 8 192 ,2 0 0 0.1X SANILAC 286 7 ,1 5 0 O.OX SO.83 1 4 .8X - 3 4 . 7X 1 ,9 3 5 4 8 ,3 7 5 274 6 ,8 5 0 O.OX SO.80 12.2X -2 7 .5 X 883 2 2 ,0 7 5 O.OX SHIAWASSE 8 ,5 1 9 2 1 2 ,975 0.1X 1 2 .9 9 29.6X 1 1 .2X 2 8 ,7 4 7 718 ,6 7 5 5 ,2 1 9 130,475 0.1 X S I . 83 20.5X -4 .5 X 6 ,4 7 6 161 ,9 0 0 0.1X TUSCOLA 8 ,5 4 8 2 1 3 ,7 0 0 0 .1 X $ 3 .7 5 30.6X 5 1 .5X 2 7 ,9 6 3 6 9 9 ,0 7 5 4 ,7 0 2 117 ,5 5 0 0.1 X $ 2 .0 6 20.2X -1 9 .2 X 6 ,0 5 6 151 ,4 0 0 0.1X VAN SUREN 1 ,3 4 6 3 3 ,6 5 0 O.OX SO.50 26.2X 8 . OX 5 ,1 3 8 128,4 5 0 998 2 4 ,9 5 0 O.OX $ 0 .3 7 12.4X 14.2X 2 ,0 5 9 5 1 ,4 7 5 O.OX WASHTENAW 112,432 2 ,8 1 0 ,8 0 0 1.4X S 1 0 .6 2 33.SX 23.6X 3 3 5 ,9 1 5 8 ,3 9 7 ,8 7 5 6 5 ,3 3 3 1 ,6 3 3 ,3 2 5 1.2X $ 6 .1 7 17.2X 19.9X 8 8 ,2 1 5 2 ,2 0 5 ,3 7 5 1.3X 1 ,5 1 8 ,7 1 5 3 7 ,9 6 7 ,8 7 5 18.6X $ 1 6 .2 4 3 5 .6X 13.4X 4 ,2 6 8 ,6 5 0 1 0 6 ,7 1 6 ,2 5 0 974,181 2 4 ,3 5 4 ,5 2 5 17.8X $ 1 0 .4 2 20.7X 32.3X 1 ,1 7 7 ,9 1 3 2 9 ,4 4 7 ,8 2 5 17.9X 0.1X $ 1 0 .8 3 25.9X -1 8 .2 X SCHCRFT. WAYNE WEXFORD 10,875 2 7 1 ,8 7 5 OUT/STATE3,549,102 8 8 ,7 2 7 ,5 5 0 43.4X 3 2 . IX 4 2 ,0 3 5 1 ,0 5 0 ,8 7 5 7 ,9 7 2 199,300 0 .1 X 1 1 .OX 1 1 ,0 4 6 ,9 3 4 2 7 6 ,1 7 3 ,3 5 0 2 ,2 8 0 ,8 8 9 5 7 ,0 2 2 ,2 2 5 41.6X S 7 .9 4 19.2X 1 9 .SX -2 2 .3 X 1 0 ,533 2 63,3 2 5 0.2X 6.SX 2 ,8 3 2 ,3 6 3 7 0 ,8 0 9 ,0 7 5 4 3 .OX COUNTY WOMEN'S SALES PERCENT CHANGE TOTAL TOTAL WOMEN'S SALES PERCENT CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8A (A )to SALES SALES CLOTHES REVENUES OF TOTAL CAPITA OF TOTAL 8 5 ( 1 ) tO CLOTHES SALES TAX SALES PER SALES PERCENT YEAR TAX 85(A ) TAX 1985 REVENUES 1985(A ) TOTAL AVERAGE SALES SALES PERCENT YEAR 1 ,3 9 6 ,5 1 6 100.0X 3 2 . IX S 12.51 A ,3 5 0 ,9 7 0 8 6 (1 ) SALES PERCENT REVENUES OF TOTAL SALES TAX SALES TAX 1 9 8 6 (2 ) 7.9X 2S .A 9 2 .1 5 3 6 3 7 ,3 0 3 ,8 2 5 5,A 85,A 10 1 3 7 ,1 3 5 ,2 5 0 17A.039 CHANGE WOMEN'S TAX 1 9 8 6 (1 ) 8 ,1 8 5 ,5 3 5 20A ,6 3 8 ,3 7 5 5 5 ,8 6 1 SALES TAX 1985 PER 3 8 ,6 0 9 9 6 5 ,2 1 7 100.0X 20.2X S 8 .6 5 10.8X 6 ,3 9 1 ,3 6 2 16A .78A.050 6 5 ,2 8 9 100.0X 1 ,1 3 2 ,2 2 9 348 COUNTY PER PERCENT CHANGE WOMEN'S CAPITA OF TOTAL 8 S ( 2 ) to CLOTHES BALES YEAR 0 6 (2 ) PERCENT SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 5 ( 3 ) t o CLOTHES SALES TAX SALES PER SALES YEAR CHANGE WOMEN'S 8 6 (3 ) SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL B 5 (6 )to SALES SALES SALES TAX SALES TAX PER SALES PERCENT YEAR 8 6 (6 ) TAX 1906(3) TAX REVENUES 1986 1986 1 9 8 6 (6 ) ALCONA SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 ALGER SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 ALLEGAN S 2 .8 0 2 7 . IX •0.5X 11,2 0 0 2 0 0 ,0 0 0 0 .2 X S 3 .6 3 33.3X -1 8 .7 X 7 ,0 2 3 175,575 0.1 X $ 2 .1 5 20.9X -2 8 .9 X 3 3 ,6 6 2 8 6 1 ,5 5 0 ALPENA SO.05 23.2X 29.9% 12,0 6 6 3 0 1 ,6 5 0 0.2 X S 9 .3 3 26.9X 39.8% 1 3 ,0 6 8 3 2 6 ,7 0 0 0.2 X $10.11 2 9 . IX 22.6% 6 6 ,9 3 7 1 ,1 2 3 ,6 2 5 ANTRIM S I . 60 23.3X 19.6X 2 ,3 0 3 5 7 ,5 7 5 O.OX S 3 .5 6 51.7X 2 1 .5X 916 2 2 ,9 0 0 O.OX S I .61 20.6X 13.6X 6 ,6 5 2 111,3 0 0 ARENAC SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR BARAGA S 6 .2 9 2 6 .7X 16.3X 1,6 6 0 6 1 ,0 0 0 O.OX S 6 .8 3 27.8% 2 2 . IX 1 ,8 6 7 6 6 .6 7 5 O.OX S 5 .5 0 31.7X 6 . IX BARRY SO.67 23.9X -2 7 .6 X 1,1 5 7 2 0 ,9 2 5 O.OX SO.63 32.2X 0 .1 X 999 2 6 ,9 7 5 O.OX SO.55 27.8% 66.7X 3 ,5 9 6 8 9 ,8 5 0 BAY S 9 .5 0 26. U -8 .9 X 6 3 ,1 6 7 1 ,0 7 8 ,6 7 5 0.6 X $ 9 .0 0 22.8X 11.6X 5 8 ,2 1 6 1 ,6 5 5 ,6 0 0 0 .7 X $ 1 2 .1 6 30.8X -7 .7 X 1 8 9 ,0 6 8 6 ,7 2 6 ,7 0 0 0 0 5 ,8 9 8 167,6 5 0 BENZIE S 7 .7 3 23.6X 7.7X 5,661 136 ,0 2 5 0.1 X $ 1 2 .1 6 36.8X - 1 1 . IX 3 ,3 6 0 8 6 ,0 0 0 O.OX S 7 .5 0 22.7% -1 .6 X 1 6 ,7 8 7 3 6 9 ,6 7 5 BERRIEN S 3 .6 2 25.9X -2 .3 X 2 3 ,1 3 2 5 7 8 ,3 0 0 0.3 X 2S.5X -3 .1 X 2 5 ,8 6 6 6 6 6 ,6 5 0 0 .3 X S 3 .7 8 2B.6X 9 0 ,5 7 5 2 ,2 6 6 ,3 7 5 3 2 ,2 6 3 8 0 6 ,0 7 5 3 6 ,6 6 3 9 1 1 ,0 7 5 S 3 .3 8 BRANCH $ 5 .3 8 2 6 .OX -1 .6 X 8 ,5 5 9 2 1 3 ,9 7 5 0.1 X $ 5 .3 2 26.5% 16.3X 8 ,8 8 6 2 2 2 ,1 5 0 0 .1 X S 5 .5 3 27.6% - 1 .6 * 25.6% CALHOUN S I .6 5 22.5X -13.2% 0 ,6 2 6 2 1 5 ,6 0 0 0.1 X S I . 52 0 .6 X 1 0 ,2 9 0 2 5 7 ,2 5 0 0 .1 X SI .8 2 2B.2X 1.6X CASS S 2 .3 7 2 6 .6X -20.7% 6 ,5 6 2 16 6 ,0 5 0 0.1 X S3.31 23.7X 36.6% - 1 5 . IX 3 ,9 6 7 9 9 ,1 7 5 O.OX $ 2 .0 0 20.8X - 2 8 . IX 1 9 ,0 6 6 6 7 6 ,6 5 0 CHARLVX. SO.07 2 2 .6X 20.7X 13,6 0 7 3 6 0 ,1 7 5 0 .2 X S 1 7 .0 9 67.6X 13.9X 5 ,6 0 6 1 6 0 ,1 0 0 0 .1 X $ 7 .0 6 19.5X 5.7X 2 8 ,7 0 6 7 1 7 ,6 0 0 CHEBOYGAN S I . 29 61.7X 17.9% 918 2 2 ,9 5 0 O.OX S I . 11 35.8X 59.7X 286 7 ,1 5 0 O.OX SO.35 11.2% 110.3% 2 ,5 6 6 6 6 ,1 0 0 CHIPPEWA SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR CLARE S 2.61 2 3 .OX 2 2 .6X 3 ,0 7 6 7 6 ,8 5 0 O.OX S 3 .2 3 29.5X 19.7X 2 ,7 6 8 6 8 ,7 0 0 O.OX S 2 .8 8 26.6X CLINTON ST .9 9 22.6X -1 9 .3 X 5 ,0 9 0 1 2 7 ,2 5 0 0 .1 X $ 2 .2 8 25.9% -3 .6 X 5 ,5 3 1 1 38 ,2 7 5 0 .1 X $ 2 .6 7 CRAWFORD S 3 .3 6 26.5X 3.2X 1,635 6 0 ,8 7 5 O.OX $ 6 .3 2 36.1% -8 .0 X 1,3 2 5 3 3 ,1 2 5 O.OX S 3 .5 0 S 6 8 .0 0 20.3X 16.6X 103,018 2 ,5 7 5 ,6 5 0 1 .5X $ 6 6 .1 3 28.0% 27.5X 122 ,6 8 7 3 ,0 6 7 ,1 7 5 1.SX $ 7 8 ,7 5 DICICINSCN S 9.01 2 6 .6X -6 .6 X 8 ,691 2 1 7 ,2 7 5 0.1 X SO .57 2 3 .6X -9 .8 X 11,531 288 ,2 7 5 0 .1 X $ 1 1 .3 8 EATON S 6 .5 5 28 .OX 6.3X 19,535 6 8 8 ,3 7 5 0 .3 X S 5 .5 3 23.6% 1.2% 2 6 ,7 6 7 6 1 8 ,6 7 5 0 .3 X EMMET S 1 6 .7 3 18.2X 28.5X 6 3 ,1 2 6 1 ,0 7 8 ,1 0 0 0.6 X $ 6 6 .8 9 57.9X 17.0X 1 3 ,3 9 6 3 3 6 ,9 0 0 0.2X $ 1 6 .5 7 IB.OX S0.1X 7 6 ,5 2 6 1 ,8 6 3 ,1 0 0 S 6.71 26.9% 5.6X 115,106 2 ,8 7 7 ,6 0 0 1.7X S 6 .3 9 23.8% -6 .6 X 160,621 3 ,5 1 5 ,5 2 5 1.7X 2 9 .OX -1 5 .9 X 6 8 6 ,6 2 2 1 2 ,1 1 0 ,5 5 0 3 2 6 ,0 7 5 DELTA GENESSE $ 7 .0 0 $ 7 .8 0 0 0 7.2X 1 0 ,6 2 6 2 6 0 ,6 5 0 2 8 . IX 6 .6 X 19,6 7 1 6 9 1 ,7 7 5 27.6X 1.9X 6 ,7 9 5 119,875 33.3X 3 2 .OX 3 6 7 ,9 9 5 9 ,1 9 9 ,8 7 5 3 1 .OX 0 .1X 3 7 ,1 6 2 9 2 9 ,0 5 0 29.9X 8 .6 X 8 2 ,6 7 7 2 ,0 6 6 ,9 2 5 GLADWIN S 6 .6 6 28.6X 0.6X 3 ,6 2 9 8 5 ,7 2 5 0 .1 X S 6 .3 0 26.5% 3 . OX 3 ,3 0 2 8 2 ,5 5 0 O.OX S 6 .1 6 2 5 .5X 9.5X 1 2 ,9 6 3 GOGEBIC SO .60 20.2% - 3 5 .OX 669 1 1 ,7 2 5 O.OX SO.6 0 27.9X •2 0 .5 X 516 1 2 ,9 0 0 O.OX SO.6 6 30.7X 9.8X 1 ,6 8 0 6 2 ,0 0 0 GR. TRAV. S 7 .9 3 23.7X -5 .0 X 22,001 5 7 0 ,0 2 5 0 .3 X $ 1 0 .3 8 31 .OX -2 3 .5 X 1 9 ,2 8 8 6 8 2 ,2 0 0 0 .2 X $ 8 .7 8 26.3% -1 7 .6 X 7 3 ,6 6 2 1 ,8 3 6 ,5 5 0 * COUNTY PER PERCENT CHANGE WOMEN’ S CAPITA OF TOTAL 8 5 (2 > to CLOTHES SALES YEAR 8 6 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 5 (3 > to CLOTHES SALES TAX SALES PER SALES PERCENT YEAR CHANGE WOMEN'S 8 6 (3 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 5 ( 4 ) to SALES SALES TAX SALES TAX SALES PERCENT YEAR CHANGE TOTAL 8 6 (4 ) TAX 19 8 6 (3 ) GRATOIT PER TOTAL SALES TAX REVENUES 1986 1986 19 8 6 (4 ) S 3 6 .6 0 2 4 . IX - 1 1 .3X 5 9 ,8 0 6 1 ,4 9 5 ,1 5 0 0 .9X S 3 6 .9 6 24.3X -1 4 .9 X 9 9 ,7 7 9 2 ,4 9 4 ,4 7 5 1.2X S 6 1 .6 7 40.6X 56.9X 2 4 5 ,9 4 3 6 ,1 4 3 ,5 7 5 HILLSDALE S 3 .6 8 24.3X 110.6% 6 ,8 3 1 170,775 0.1X S 4 .0 6 26.8X 11.5% 7 ,2 8 5 182,125 0.1X $ 4 .3 3 28.6X 13.8X 2 5 ,4 8 2 6 3 7 ,0 5 0 HOUGHTON S I .0 3 24.9X 3 5 .SX 2 ,0 0 2 5 0 ,0 5 0 O.OX S I . 32 3c.OX 39.3X 1 ,5 8 3 3 9 ,5 7 5 O.OX S I . 04 25.3% 19.4X 6 ,2 5 4 1 5 6 ,3 5 0 HURON S 3 .4 7 23.9% 1S.9X 4 ,9 4 1 123 ,5 2 5 0.1X S 3 .3 9 23.3X 16. IX 7 ,3 4 7 183,675 0.1X S 5 .0 4 34.7X 24.8X 2 1 ,1 9 6 5 2 9 ,9 0 0 9 ,2 9 3 ,0 7 5 INGHAM S 8 .0 8 2 4 .OX -16.7% 8 7 ,9 7 2 2 ,1 9 9 ,3 0 0 1.3X S 7 .9 8 23.7X -2 .7 X 1 1 0 ,5 5 6 2 ,7 6 3 ,9 0 0 1.3X S 1 0 .0 3 29.7% 1.4X 3 7 1 ,7 2 3 !OH!A S 1.S1 41.6% 17.7X 1 ,4 3 3 3 5 ,8 2 5 O.OX SO.69 1 9 .IX -26.7% 1 ,4 6 8 3 6 ,7 0 0 O.OX SO.71 19.5X -47.2% 7 ,5 2 2 188 ,0 5 0 IOSCO S 4 .3 4 24.7% 6.2% 6 ,7 7 7 169 ,4 2 5 0 .1 X S 5 .9 8 34.0X 4.0 X 5 ,1 3 0 1 2 8 ,2 5 0 0.1X S 4 .5 2 25.7% 1B.9X 1 9 ,9 4 6 4 9 8 ,6 5 0 IRON S 1 0 .6 3 2 6 . IX -18.7X 6 ,3 1 5 162 ,8 7 5 0.1X $ 1 1 .9 5 29.3X -2 5 .0 X 5 ,t3 7 128,425 0.1X S 9 .4 2 2 3 . IX -3 2 .3 X 2 2 .2 1 9 5 5 5 ,4 7 5 ISABELLA * 6 .8 4 23.9X 0.8% 1 4 ,7 7 6 3 6 9 ,4 0 0 0.2X 23.SX -5 .5 X 1 7 ,8 7 9 4 4 6 ,9 7 5 0.2X S 8 .2 6 2B.8X - 5 . IX 6 2 ,0 4 0 1 ,5 5 1 ,0 0 0 JACKSON S 6 .8 3 * 2 .8 4 34.4X 268.9X 1 6 ,2 4 8 4 0 6 ,2 0 0 0 .2X $ 2 .6 8 3 2 .SX 2 4 3 .3X 3 ,6 1 1 9 0 ,2 7 5 O.OX SO. 60 7.2X -80.3% 5 0 ,0 2 2 1 ,2 5 0 ,5 5 0 KALAMAZOO 8 7 .1 3 24.6X -10.8X 6 3 ,5 4 0 1 ,6 3 8 ,5 0 0 1.0X * 7 .7 2 26.6X -9 .0 X 6 5 ,8 9 5 1 ,6 4 7 ,3 7 5 0.8X S 7 .7 6 26.7% -7 .9 X 2 4 6 ,8 1 0 6 ,1 7 0 ,2 5 0 KALKASKA O.OX O.OX -53.8% 1 ,2 4 3 3 1 ,0 7 5 5.9X 2 ,9 0 5 ,4 1 9 7 2 ,6 3 5 ,4 7 5 SO.89 31.4% 80.6% 286 7 ,1 5 0 S 3 7 .7 7 2 3 . IX 1 1 .IX 6 8 9 ,4 7 3 1 7 ,2 3 6 ,8 2 5 KEUEEHAU S 3 .6 3 31.2% 7 4 .IX 338 8 ,4 5 0 LAKE SO.OO ERR ERR 0 0 LAPEER S 3.11 20.8X 14.7X 1 1 ,4 6 9 LEELANAU $ 0 .6 8 33.2% 28.SX LENAUEE S 2 .7 0 24.7X 10.8X LIV. S 1 .7 9 30.6X 7 6 . IX LUCE SO.OO ERR ERR MACKINAC S 2 .4 0 19.9% KENT SO.65 2 3 .OX 75.5X 283 7 ,0 7 5 10.2% $ 3 8 .7 8 23.7X 1 2 .OX 9 0 3 ,3 0 9 2 2 ,5 8 2 ,7 2 5 O.OX $ 4 .3 0 23.8X - 1 1 . IX O.OX $ 0 .0 0 ERR ERR 2 8 6 ,7 2 5 0 .2X $ 4 .0 9 27.4X 3 .5X 761 19 ,0 2 5 O.OX $ 1 .3 6 66.8X -7 .1 X 9 ,4 8 2 2 3 7 ,0 5 0 0.1X $ 2 .6 4 2 4 . IX 2.3% 6 ,3 7 2 1 5 9 ,3 0 0 0 .1 X S I . 59 27.2X 65.2X 0 0 O.OX SO.OO ERR ERR 188.8X 3 ,5 8 7 8 9 ,6 7 5 0.1X * 8 .8 1 73.3X SO.65 22.8X 10.8X * 5 0 .8 0 31.1% 396 9 ,9 0 0 O.OX S 5 .0 4 27.8X -2.7% 0 0 O.OX SO.OO ERR ERR 1 2 ,7 0 7 3 1 7 ,6 7 5 0.2X S 4 .5 4 3 0 .4 X 6.5X 0 0 O.OX SO.OO 1 ,1 4 0 2 3 ,5 0 0 1 3 ,1 2 7 3 2 8 ,1 7 5 0.2X S 3 .6 5 3 3.4X 19.0% 3 9 ,2 9 6 9 8 2 .4 0 0 4 ,5 6 2 1 14 ,0 5 0 0.1X S I . 14 19.5X -18.7% 2 3 ,4 3 4 5 8 5 ,8 5 0 0 0 O.OX SO.OO ERR ERR 82.9X 333 8 ,3 2 5 O.OX SO.82 6 .8X O.OX -100.0% 1 .« 2 0 3 5 .5 5 0 4 1 ,8 3 1 1 ,0 4 5 ,7 7 5 0 0 0 7.8X 4 ,8 9 6 1 2 2 ,4 0 0 8 ,1 4 2 ,6 5 0 MACOMB S 3 .4 0 2 9 .OX 21.2% 8 5 ,1 8 5 2 ,1 2 9 ,6 2 5 1.3X * 3 .0 7 26.2% 19.9X 8 5 ,6 9 7 2 ,1 4 2 ,4 2 5 1.0X S 3 .0 8 26.3X -1.4% 3 2 5 ,7 0 6 MANISTEE * 2 .9 0 42.3X 4.8X 1 ,2 9 8 3 2 ,4 5 0 O.OX S I . 41 20.6X -4 3 .8 X 307 7 ,6 7 5 O.OX SO.33 4 .9X -8 4 . A 6 ,3 1 0 157 ,7 5 0 MARQUETTE * 6 .3 8 23.9% 24.0% 2 1 ,8 1 8 5 4 5 ,4 5 0 0.3X S 7 .3 6 27.5X 10.7X 2 2 ,2 3 3 5 5 5 ,8 2 5 0.3X S 7 .5 0 2 8 .OX 6.4X 7 9 ,3 1 0 1 ,9 8 2 ,7 5 0 MASON * 4 .4 6 26.9X •6.3X 4 ,9 1 9 122 ,9 7 5 0.1X S 4 .6 6 2 8 . IX -2 3 .4 X 3 ,7 2 2 9 3 ,0 5 0 O.OX S 3 .5 3 2 1 .3X -27.4% 17,4 9 3 4 3 7 ,3 2 5 MECOSTA SI .3 4 2 2 .OX 143.9X 2 ,8 9 7 7 2 ,4 2 5 O.OX S 1 .9 6 32.2X 152.6X 2 ,6 8 2 6 7 ,0 5 0 O.OX S I . 81 29.8X -3 .9 X 9 ,0 0 9 2 2 5 ,2 2 5 S 2.01 26.2% -21 .OX 1 ,794 4 4 ,8 5 0 O.OX S I . 71 22.4% -21.9% 2 ,6 0 7 6 5 ,1 7 5 O.OX S 2 .4 9 32.5% 5.2% 8 ,0 2 6 2 0 0 ,6 5 0 $ 1 0 .8 6 2 4 .OX 87.9X 3 4 ,4 1 3 8 6 0 ,3 2 5 0.5 X * 1 1 .6 9 25.9% 82.5X 3 5 ,7 7 8 8 9 4 ,4 5 0 0.4X * 1 2 .1 6 26.9X 22.0% 132,895 3 ,3 2 2 ,3 7 5 MENOMINEE MIDLAND county PER PERCENT CHANGE WOMEN'S CAPITA OF TOTAL 8 5 ( 2 ) to CLOTHES SALES YEAR 8 6 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 5 ( 3 ) to CLOTHES SALES TAX SALES PER SALES PERCENT YEAR CHANGE WOMEN'S 8 6 (3 ) SALES PERCENT CHANGE TOTAL TOTAL REVENUES OF TOTAL CAPITA OF TOTAL B S (4 )to SALES SALES SALES TAX SALES TAX PER SALES PERCENT YEAR 8 6 (4 ) TAX 1 986(3) TAX REVENUES 1986 1986 1 986(4) MISSAUKEE SO.OO ERR - 1 0 0 .OX 0 0 O.OX SO.OO ERR -1 0 0 .0 X 0 0 O.OX SO.OO ERR -100.0X 0 0 MONROE S 2 .0 8 24.3X 8.BX 10.5 7 3 2 7 1,8 2 5 0.2X S 2 .0 2 23.5X 1 3 .IX 1 3 ,7 7 7 344 ,4 2 5 0 .2 X * 2 .5 6 29.8X 17.2X 4 6 ,1 7 5 1 ,1 5 4 ,3 7 5 MONTCALM S 3 .7 2 26.3X -7 .2 X 7 ,2 6 5 181,625 0.1X $ 3 .8 2 2 7 .OX -2 1 .2 X 7 ,9 8 8 199,700 0.1 X * 4 .2 0 29.7X -1 2 .3 X 2 6 ,9 1 7 6 7 2 ,9 2 5 MONTM. SO.OO ERR ERR 0 0 O.OX * 0 .0 0 ERR 0 0 O.OX SO.OO ERR ERR MUSKEGON S I . 48 24.9X O.SX 1 0 ,2 5 7 2 5 6 ,4 2 5 0.2X S I . 63 27.3X 9 ,7 5 6 2 4 3 ,9 0 0 0.1 X S I .5 5 2 6 .OX 0.2X * 9 .5 7 2 9 . IX 7.3X 14,191 3 5 4 ,7 7 5 0 .2 X * 1 0 .1 6 30.8X 8 . IX * 1 3 .5 5 24.6X 5.7X 675 ,5 6 1 1 6 ,8 8 9 ,0 2 5 8 . IX * 1 6 .6 9 30.3X NEUATGO S 6 .6 7 20.9X 0.3X 1 3 ,372 3 3 4 ,3 0 0 OAKLANO * 1 3 .2 0 2 4 . OX 4.6X 5 4 8 ,2 1 0 1 3 ,7 0 5 ,2 5 0 OCEANA SO.OO OGEMAW S 1 0 .7 3 ERR ERR 27.0X -3 .3 X ONTONAGON SO.OO ERR ERR OSCEOLA S I .4 0 2 5 .OX - 1 2 .OX 0 0 7 ,8 5 0 1 9 6 ,2 5 0 O.OX SO.OO 0.1X S 1 1 .9 4 ERR 3 0 .OX 0 0 O.OX SO.OO ERR 1 ,2 0 6 3 0 ,1 5 0 O.OX S I . 59 28.4X ERR O.OX ERR -1 5 .9 X ERR -1 4 .3 X 0 0 13.5X 3 7 ,5 0 4 9 3 7 ,6 0 0 1 4 .OX 4 6 ,0 1 9 1 ,1 5 0 ,4 7 5 4 .2X 2 ,2 2 6 ,3 6 3 5 5 ,6 5 9 ,0 7 5 0 0 O.OX SO.OO ERR ERR 5 ,8 6 0 1 46,5 0 0 0.1 X S 8 .9 1 22.4X 1.8X 0 0 1 ,2 4 6 3 1 ,1 5 0 O.OX S I .6 5 O.OX SO.OO ERR ERR 29.3X 30.6% 0 0 2 6 ,1 5 9 6 5 3 ,9 7 5 0 0 4 ,2 4 6 106 ,1 5 0 OSCOOA SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 O.OX SO.OO ERR ERR 0 0 OTSEGO $ 4 .2 0 19.7X - 4 0 . IX 3 ,2 4 9 8 1 ,2 2 5 O.OX * 5 .4 2 25.4X -0 .5 X 2 ,7 4 8 6 8 ,7 0 0 O.OX * 4 .5 8 2 1 .5X •6 .8 X 1 2 ,7 7 8 3 1 9 ,4 5 0 OTTAWA S 3 .0 6 24.6X -2 .5 X 2 1 ,9 0 6 5 4 7 ,6 5 0 0.3X * 3 .4 8 2 8 . IX 0.5X 2 1 ,0 6 5 526 ,6 2 5 0.3 X 1 ,9 5 2 ,2 7 5 PRES. IS . $ 0 .1 8 20.3X -8 2 .2 X 159 3 ,9 7 5 O.OX * 0 .2 8 31.9% -76.2% 104 2 ,6 0 0 ROSCOMMON S 4 .1 4 2S.9X - 3 1 . IX 3 ,8 0 3 9 5 ,0 7 5 0.1X * 5 .8 1 36.3X -3 4 .3 X 2 ,6 2 7 6 5 ,6 7 5 SAGINAW S 3 .3 5 27.0X 1.2X 78,0 9 1 O.OX SO. 18 20.9X -7 7 .6 X 498 1 2 ,4 5 0 O.OX 25.1X 1.3X 1 0 ,4 6 7 2 6 1 ,6 7 5 S 4 .0 1 S 1 7 .3 7 2 3 .OX 6.3X 1 7 3 ,5 2 7 4 ,3 3 8 ,1 7 5 2.6X * 1 9 .0 2 25.2X 9.5X 2 1 1 ,9 7 3 5 ,2 9 9 ,3 2 5 2.5 X S 2 3 .2 4 30.7X 5 .4X 6 8 9 ,4 1 6 1 7 ,2 3 5 ,4 0 0 ST. CLAIR $ 2 9.41 2 4 .3X 2.6X 1 7 0,439 4 ,2 6 0 ,9 7 5 2.5X * 3 0 .7 0 25.4X -2 .3 X 2 0 4 ,7 9 3 5 ,1 1 9 ,8 2 5 2 .5X S 3 6 .8 9 30.5X 1.2X 6 7 1 ,7 8 6 1 6 ,7 9 4 ,6 5 0 ST.JOSEPH S 6 .2 6 29.8X 49.5X 10,861 2 7 1,5 2 5 0.2X * 4 .8 4 2 3 . IX 12.3X 9 ,7 5 2 2 4 3 ,8 0 0 0.1 X $ 4 .3 5 20.7X -4 0 .9 X 4 7 ,0 9 7 1 ,1 7 7 ,4 2 5 SANILAC * 4 .71 2 9 .IX 30.3X 9 ,2 9 0 2 3 2 ,2 5 0 0.1X * 5 .6 9 3 5 . 2X 14.4X 5,1 7 1 129,275 0.1 X S 3 .1 7 19.6X - 1 3 . OX 2 6 ,4 2 4 6 6 0 ,6 0 0 SCHCRFT. * 2 .3 7 39.2X 5 1 .7X 668 1 6 ,7 0 0 O.OX SI .9 5 2 9 .7X -3 .0 X 425 10,625 O.OX S 1 .2 4 18.9X 48.6X 2 ,2 5 0 5 6 ,2 5 0 SHIAWASSE * 2 .2 8 2S.5X -1 3 .2 X 6 ,8 6 6 1 7 1,6 5 0 0.1X S2.41 2 7 . OX -5 .9 X 6 ,8 7 7 171,925 0.1 X * 2 .4 2 2 7 .OX -1 9 .3 X 2 5 ,4 3 8 6 3 5 ,9 5 0 5 8 0 ,9 7 5 TUSCOLA * 2 .6 6 2 6 . IX -6 .6 X 5 ,8 6 4 1 4 6 ,6 0 0 0.1X * 2 .5 7 25.2X -1 7 .5 X 6 ,6 1 7 165,425 0.1X * 2 .9 0 2 8 .SX -2 2 .6 X 2 3 ,2 3 9 VAN WREN SO .77 25.6X 6 7 . IX 3 ,6 6 1 9 1 ,5 2 5 0.1X * 1 .3 7 45.5X 117.1X 1 ,3 3 6 3 3 ,4 0 0 O.OX SO.50 16.6X -0 .7 X 8 ,0 5 4 2 3 1 ,3 5 0 WASHTENAW * 8 .3 3 23.2X 16.5X 104,845 2 ,6 2 1 ,1 2 5 1.5X * 9 .9 0 27.6X 12.4X 121,385 3 ,0 3 4 ,6 2 5 1.5X S I 1 .4 6 3 2 .OX 8 . OX 3 7 9 ,7 7 8 9 ,4 9 4 ,4 5 0 WAYNE S 1 2 .6 0 2 5 . IX 10.8X1 ,0 6 5 ,4 9 5 2 6 ,6 3 7 ,3 7 5 1S.7X * 1 1 .3 9 22.7X 12.1X 1,4 8 2 ,0 2 1 3 7 ,0 5 0 ,5 2 5 17.8X * 1 5 .8 5 31.5% WEXFORD * 1 0 .4 9 2 5 .4X 19 . IX 1 1 ,702 29 2 ,5 5 0 0.2X ( 1 1 .6 5 2 8 .2X • 3 . OX 1 1 ,2 2 7 280 ,6 7 5 0 .1 X * 1 1 .1 8 2 7 . IX 3.2X 5 .3 X 2 ,9 8 2 ,0 7 6 7 4 ,5 5 1 ,9 0 0 2 5 .SX 11.9X 3,6 2 0 ,8 8 1 9 0 ,5 2 2 ,0 2 5 30.9X 2 .0 X 1 1 ,7 1 6 ,2 0 9 2 9 2 ,9 0 5 ,2 2 5 OUT/STATE 24.2X 4 4 .OX 43.4X -2 .4 X 4 ,6 9 9 ,6 1 0 1 1 7 ,4 9 0 ,2 5 0 4 1 ,4 3 4 1 ,0 3 5 ,8 5 0 COUNTY PER PERCENT CHANGE UOHEN'S CAPITA OF TOTAL 8 5 < 2 )to CLOTHES SALES TEAR 8 6 (2 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL SALES TAX SALES PER SALES PERCENT TEAR CHANGE WHEN'S 8 5 (3 > tO CLOTHES 8 6 (3 ) SALES PERCENT REVENUES OF TOTAL CAPITA OF TOTAL 8 5 ( 4 ) t o SALES SALES TAX SALES TAX AVERAGE 2 4 .2 * * 1 0 .1 5 YEAR CHANGE TOTAL 8 6 (4 ) TAX 1986 TOTAL SALES REVENUES 1986 1 9 8 6 (4 ) 6 .8 X 6 ,7 8 4 ,7 0 3 1 6 9 ,6 1 7 ,3 7 5 4 5 ,8 1 5 SALES PERCENT TAX 1 9 8 6 (3 ) TOTAL PER 1 ,1 4 5 ,3 7 0 1 0 0 .0 * 2 4 .9 * S 1 0 .2 6 9 .8 X 8 ,3 3 6 ,8 3 4 2 0 8 ,4 2 0 ,8 5 0 5 6 ,8 1 9 1 ,4 2 0 ,4 6 8 1 0 0 .0 * 3 0 .7 * * 1 2 .7 3 1 .8 X 2 7 ,1 9 8 ,3 0 9 6 7 9 ,9 5 7 ,7 2 5 186,531 4 ,6 6 3 ,2 8 3 00 on PO