140 839 THS LIBRARY i‘sitchigan State Univei'sity PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 6/07 p:/ClRClDateDue‘indd-p.1 Economic Study of Wyandotte County, Kansas By Scott Ramsey DEL-m :mm‘r—w 05. .-'n:. - .- . “I” ms.-mi Background The following report is a descriptive study of the Wyandotte County, Kansas economy. This document examines the components of the county's economy, and compares its recent trends to those in the metropolitan area, other counties in Kansas, and a sample of Midwestern urbanized counties. This study also looks at business trends in county sub-areas as well. In examining the wyandotte County firm and employment base as described above, a general methodoloay'has been developed to study the components and the relative growth patterns of any major juris- diction‘s economy in a clear and concise way. This is the type of report that could serve as a foundation for more detailed economic studies, such as economic base analysis, input-output analysis, fiscal impact analysis, or firm identification surveys. The writing of this report required fundamental knowledge of the Statistical Package for the Social Sciences (S.P.S.S.) computer program and computer mapping techniques. Most of the tables and virtually all the maps in this study are the direct result of computer a, use . 1.0 introduction The contents of this report suammrize trends that have taken.p1ace in the Wyandotte County economy in recent ’ears. Three major subject areas are covered in the report. First, using County lrswnrss Patterns data, the components of the county's economy are discussed, as are changes that have taken place in the county's establis meat and employment bases between 1974 and 1978. The second portion of this report compares recent trends in the hyandotte County economy with those of the Kansas City region, other counties in Kansas, and several urbanized counties throughout the Midwest. The? e compa1isons also use 1974 and 19m oCounty Business _Eatterns fi_gures. The third section of the report do: C11 :5 net changes in business activity that have occurred within hyandotte County neichborhoods between 1973 and 1977. This portion of the analysis uses the Hid~America Regional Council (M.A.R.C.) employment file. 2.0 The Hyandotte County Economy: 1974 and 1978 According to (ouuty BEElL_§:.E_}lCqu data the Wyandotte County economy experienced a net loss of 59 business establishments (-1.9%) between 19/4 and 1978, but also experienced a net gain of 6,662 employees (+1l.8%). Three major factors account for these statistics. First of all, as the local economy emerged from the 1974—75 recession, it regained much of the 'workforce that was laid off. Secondly, County Business Patterns figures show that in 1978 there were 167 less firms in Wyandotte County with one to four employees, but 79 more firms with 20 to 249 employees, than in 1974. This suggests that the county's economic climate for small businesses 1.es not as attractive as it was for medium and large-sized establish uents. Finally, the county experienced a detmr ms of 92 Retail finns(—10.2%) over this time period. This busines ss category, more than any other, contributed to the decline in the Wyandotte County firm base between 197 4 and 197 8. Figures 1 A~B and 2 A~B break the county's establishment and employment bases down into several different categories, both for 1974 and 1978. These figures account for all the components of the Wyandotte County economy SEEERE government, railroad, post office, and fawn establishments and employment.* Also, not included are businesses without payroll records.** Figures 1 and 2 show (1) the various shares of county establishments and employment held by different business categories; and (2) how these shares have changed between 1974 and 1978. For example, Manufacturing had 269 (8.6% of the county total) establishments and 21,103 (37.3% of the county total) employees in 1974; in 1978 these numbers were 270 (8.8%) and 22,578 (35.7%). Hence, while Manufacturing mployment registered a net gain, its proportion of the county's employment base actually decreased between 1974 and 1978. Two categories, Transportation/ Communications/Public Utilities (T.C.P.U.) and Services, both significantly increased their shares of the htandotte County firm and employment base over this time period. T.C.P.U. increased its finn totals from 120 to 154 (+28.3%) and its employment levels from 3,030 to 5,323 (+75.7%). Services experienced a net gain of 20 establishments (+2.2%) and 1,963 employees (+21.7%). Wholesale firms and employment increased (from 331 to 334 and from 6,267 to 6,718) between 1974 and 1978, but the Wholesale share of total county employment actually decreased-from 11.1% to 10.6%. The Retail and Finance/Insurance/Real Estate (F.I.R.E.) categories both * County Business Patterns does not tabulate data for these categories. It is estimated,~however, during 1974-1978 period,Government employment was approximately 15,000, while railroad and post office employees numbered about 5,200. Farm employment in Wyandotte County is negligible. ** County Business Patterns coes not enumerate establishments which have 55—payroll rccEth. There are several hundred businesses in Wyandotte County of this type. Hf); 1‘0 l—;\ HYkkflflflh CUUKlfi }.5l\’1 SH”CXYS, 1974 _,,_,,..,;1‘..;:.;L.__L{ 1 w (3.8%) f”. / fix,“ 3 ‘. *~\\V,zrt11ikxu111gj‘xfl) (8.0T: '\_ ‘5“. ‘\ (10 (Tl \\ Wholesale 331 (lulstrucli Retail 901 (28. I) 1‘. I. R. 1a. ~=—...._.._..L 250 ( .00) Wlk I “5‘\JII5HV“X”S' 3,130 S~u1coz COLHII\ Bu Lhkxx Pa*tx1n\ 1971 and 1978 -A- _-.._'_ -“u -— f 5* FIGURE 1~B MHAXDQTFF COUNTY METABLTSHHENTS. 1978 Other* 7" (2.5%) Construction '" T ”' 289 (9.1;) Services ;11 (29.b Manufacturing ’ 270 (8.8%) Z.C.P.U. 154 ’.0%) f hholesalc 334 -.I. (10.9%) /' 23. ‘ (7 65; Retail 809 (26.3%‘ TOTAL ESTABLISHMENYS: 3,07" . '. . . -\ . “°‘ ‘. :,‘..‘ '.“.1‘,‘ * Inc1udcs Agricultural Sorvxcc, Mlnxng, and Ron—leazzfxahle LdenllbnmkntS 'nttcrnfi, 1974 and 19T8 —._-_. Source: County l-Eusunc-ss l / Y1,4facturing 21,103 (37.3%) FIGURi Z—A h) CQXJITE (AXHQIY Ififi’LtfiTEfVY rrcu , 1974 ' (Other* 379 (0.7E) Construction *“'fi""" 4,71%I/zrwa”flfi (8.37; ,Scrrjccs 9,056 (1”. ,Retf' 9,8<-. (17.i Wholesale 6,267 (11.1%) 'l‘.C.I’.U. 3,030 (5.4%) TOTAL IBHWIfi3U2CF: 56,593 Source: County Business Puttcrui, 1974 and 19T8 Ccustruction : - -- a '1' , 33-. Manuiacturing / 32,5“3 (33.7%) T.C.P.U. 5,323 (8.4%) ! (c.s;, ”x” Figuro 2-H .EJBTFTXI‘i118ii 1(3'13 ’ .1Is.‘ lugmur'317 (0.51) "—'< u i ““~\‘\»~ \ Services 11. (‘ Miolesale 6,718 (10.6%) 'HTLU.13HWLHTSNT: $3,255 lnciuios Agricultural Service, Mining, nnJ Non-Classifiablo Employmout' Source: Couugf BusinCssrngigru§, 1974 and 1978 experienced increases in employment totals despite losses in establish- ments. However, the Retail share of county employment dropped from 17.4% to 16.3%, while the F.I.R.E. share increased from 3.8% to 4.2f. Construction was the only category that recorded a gain in establishments (256 to 289) and losses in employment (4,718 to 4,332) between 1974 and 1978. Finally, other miscellaneous businesses, including Agricultural Services, Mining, and Non-classifiable firms, accounted for a very small portion of the Wyandotte County economy during this time period. In summary, between 1974 and 1978 the fastest growing sectors of the county's economy were T.C.P.U. and Services. The Wholesale and Manufacturing categories both registered very small gains in firms and significant increases in employment. The Retail and F.I.R.E. categories incurred net losses in establishments and net increases in employment, while Construction experienced just the opposite effect. Overall, a slight decrease in county business firms was accompanied by a strong increase in its employment. 2.1 The Kansas City Metropolitan Area: 1974 and 1978 Tables 1 and 2 display County Business Patterns establishment and employment figures, along with percentage shares by category, for the eight counties comprising the Kansas City Standard.Metropolitan Statistical Area (K.C.S.M.S.A.)* in 1974 and 1978. These tables show to what extent business firm and employment growth has taken place within the region over this time period. Tables 1 and 2 show that the number of business establishments in the region increased from 26,855 to 28,770 (+7.l%), while employment rose from 464,210 to 536,410 (+13.1%) between 197 and 1978. 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I I o H .“é 00000< c000000ouuoz can mo0ucdou mo cowumasmom can 0000:0m s. 000000 .0500 00 0000 we moums0umm .mdmcou asp mo smopsm .ouuoeseu mo unmEphmmoo .m .2 .mooonQEo @000H000 no .moQAOHQEe Hoomum 000 on .000000050 unmaske>ou .muoskmm ov300c0 won on «new mahopumm mmmcflmsm Nucsou a .0500 000 0500 .00000000 00000000 000000 ”000000 000.000 000.000 000.000 005.000 000.000 0.0 + 000.0 000.0 0.00+ 000.0 000.0 0.0 + 000.0 050.0 0.0 + 050.0 000.0 0.0 - 500.0 000.0 0.00- 00 000 0.50- 00 50 0.00- 00 000 5.00- 000 000 0.00- 00 00 0.0 + 000.0 000.0 ~.~0+ 000 000 0.00+ 000.0 050.0 0.00+ 000.0 000.0 0.0 + 055 005 0.00+ 000 000 0.00+ 000 000 0.00+ 500 500 0.0 + 000 000 0.0 + 000 000 5.0 + 000.0 000.0 5.00+ 000 000 0.0 + 000.0 000.0 0.0 + 000.0 000.0 0.0 + 005 005 0.0 + 050 000 0.0 + 050 000 0.00+ 000 000 0.0 + N00 000 0.00- 000 000 0.50. 000 50 0.00+ 000 00 0.00+_ 500 000 0.00+ 000 000 5.0 + 05 05 0.5 - 000 000 0.0 + 000 500 0.0 - 000 000 0.0 + 000 000 0.0.+ 000 000 0.00+ 000 000 0.00+ 500 550 N.00+ 500 000 0.00- 000 000 0.0 + 000 000 5.00. 00 5 0.0 + 0 0 0.00+ 05 00 0.0 - 00 00 0.0 + 0 0 0.00+ 50 00 0.00+ 00 00 0.00+ 00 50 0.00+ 00 00 5.00+ 00 00 000000 0 0500 0500 000000 0 0500 mmmm 000000 0 0500 0500 000000 0 0500 0500 000000 0 0500 0500 mmoc0000 0300 «sumacH mcw0wch mmmwmmmm mn0uoomv 00000m nuaomco>mmv uuoum H0000>mcm>mv :m0snponce> Nucxaz .uwv c000< Acmwmxmzzw cowoxmnz 00500-0500 .00002000 2000003002.00000000 .0.0..000_m0000000 7.0 00020000 00002002000 0 000<0 All I.) l-!l§bb?fll.¢i - ,. .xi . inOMHmHDQOQ mqoo .mheaumm 00:00c0 00c ow name mcpmuunm 000C005m xucsou 00 .000.00-000.00 ”0 ”000.0-000.0 “x "000.0-000.0 "0 0000.0-000.0 ”0 0000-000 ”0 0000-000 "a 0000-000 ”0 000.00 ”0 000.0 ”< - 0200000 00 moucmh paeESOHQEo ucomounmu 0030m> 000000 00039 .mgzaw mmecflmsn 000o>em mo >000m0ucee0mcou may uuououg ow 0e300> 000000 0n woum0meh use vommopmazm 0003 meusu0w uceexOHQem .000powoumu 0000>om 00m 0 .0500 000 0500 .00000000 00000000 000000 "000000 000.500 000.000 005.000 . 000.000 000.000 0.0 + 050.00 000.00 0.0 + 000.000 000.000 0.00+ 000.00 005.00 0.5 + 050.000 000.000 0.0 + 000.550 000.050 0.00- 000 000 0.00+ 000 000 ---- < 000 .0.00- 000 00000 0.00- 050 000.0 0.00+ 000.0 000.5 0.00+ 005.00 000.00 0.00+ 000.50 000.00 0.50+ 000.00 000.00 0.00+ 000.00 000.00 0.0 + 000.0 550.0 0.00+ 000.00 000.00 0.00+ 000.0 000.0 0.50+ 000.00 000.50 0.00+ 000.5 000.0 0.00+ 000.0 000.0 0.00+ 005.00 000.50 0.00+ 000.00 050.00 0.0 + 000.50 000.00 0.0 + 000.00 000.00 --- 0 000.0 0.0 + 000.00 000.00 0.00. 000.0 000.0 0.0 + 000.00 000.00 0.0 - 000.00 000.00 -- 0 0 0.50- 000.00 000.00 0.00+ 050.0 000.0 5.50+ 000.00 000.00 0.00+ 000.0 500.0 0.5 - 000.00 000.50 0.0 - 000.00 000.05 0.00- 000.50 000.00 0.00- 050.00 000.00 0.0 - 500.00 050.00 0.0 - 005.0 000.0 0.00+ 000.00 000.0 0.5 + 000.0 000.0 0.00- 000.00 000.00 5.0 - 050.0 000.0 0.00+ 000 000 0.05- 00 000 --- 0 00 0.0 - 000 000 0.0 - 000 000 0.0 + 00 50 0.00+ 000 000 -- 0 000 5.00+ 000 000 0.0 + 000 000 000000 0 0500 mmmm. mmmmmmlm mmmw. «Mmm. mmmmmmim mmmm. .mmmm mmmmmmum mMmm. mmmw mmmmmmum. mmmm. 0500 a a 0.3000m2 000000.502 obval-I. Neomxunhv cemxumw 00000 .000 000000 Nw0000m500mw0 oceepu 0000000 0000000 .00500-0000 000.0208 50.000000: 00.000000 . .0700260000 20 00020000 0w0400c. 00000ob0 00050 00.C00um0:uom quhow e00W00000u uoz 0000>0om w.m.0.m oemuh 00000m 06005 0000000£z .:.m.u.H wc0nspumwscmz c00pusupmcou m:00fi00 003003000mm >moomy 000000 000:9 .05000 00000050 0000>00 mo 000000000000000 0:0 0000000 00 00:00> 000000 00 00000000 000 0000000000 0003 0000w0m 0005000050 .00000w0000 0000>00 000 lifl 1.5.5.5911: 0 if . it: a... t. .0500 000 0500 .00000000 00000000 000000 0000000 000.000 000.000 000.000 . 005.000 000.000 0.00+ 000.00 000.05 5.0 + 000.50 005.00 0.0 + 050.00 000.05 0.0 + 000.000 000.000 0.0 - 000.00 050.00 0.50- 000 000 ----- 0 000 0.00 - 050 000 0.00- 500 500 5.00- 000 000 0.00+ 000.00 000.50 0.00+ 000.00 000.00 0.00 + 000.50 055.00 0.00+ 005.00 000.00 0.00+. 500.0 005.0 0.00+ 000.0 000.0 0.50+ 000.0 000.0 0.00 + 000.0 000.0 000 + 500.0 000.0 0.00+ 050.0 000.0 0.0 + 000.00 000.50 0.00+ 000.00 .005.00 0.00 + 050.00 000.00 0.00+ 050.00 000.00 0.00+ 000.0 500.5 0.00+ 000.0 005.0 0.00+ 000.0 050.0 0.50 + 500.0 000.0 0.0 + 000.00 000.0 0.0 - 000.0 000.0 0.00. 000.0 000.0 0.00+ 005.0 000.0 0.0 - 500.0 000.0 0.00- 005.0 000.0 0.00- 000.0 000.0 0.00+ 505.00 000.00 0.0 - 005.50 000.00 0.0 - 000.50 000.00 0.0 - 000.00 050.00 0.50- 000.00 000.00 0.00+ 000.0 000.0 0.00+ 000.0 500.0 0.00 + 005.0 000.0 0.0 - 000.0 000.0 0.00+ 500.0 000.0 0.00- 000 000 ----- 0 0 0.000+ 000 000 5.5 - 050 000 ----- 0 0 0.00+ 000 000 ----- 000 0 0.50 + 000 00 0.0 + 000 000 ..... m m mwmmmmlm 00mm. 00mm 000000 0 0500 0500 000000 0 0500 0500 000000 0 0500 0500 000000 0 0500 00mm 0m000000 0300 acnwmc0 0000000 mmwwmwmm 00000000 000000 m000000>mmv 00000 ~0000>0cm>m0 Lm0sn00mcm> 000002 .000 00000 agmnm0nvnm0 .00002000 2000003002 00000000 - .0202000020 20 0002<:0 amnmx¢rz0ouv .0000000— 0000004000026 sown-0000 52 v‘l. .3, .II 0000000005000 0000 0000000000 002 0000>00m .m.m.0.w 00000 00000m 00000 00000003: .3.0.u.0 mc0050umwsumz 000005000000 000002 003005000m< wmoomhxu 3.0 The Mid-America Regional Council (M.A.R:C.) Employment File The third section of this report examines business changes that ~have taken place within hyandotte County between 1973 and 1977, and uses the Mid—America Regional Council (M.A.R.C.) employment file. The MLA.R.C. employment file contains five years of data (1973—1977) for business establishments throughout the Kansas City metropolitan region. The primary data base for building the file is Contacts lnfluential*, an organization which collects and sells detailed individual firm information. As a supplement to the business firms listed on the Contacts file, M.A.R.C. has added government, public safety, religious, college, airport, hospital, parochial school, library, and museum information. Hence, a fairly com- plete data base for both the private and public sectors of the regional economy is contained in the M.A.R.C. employment file. Each record in the file contains a firm's name, address, phone number, census tract number, Standard Industrial Classification (S.I.C.) codes, employment, and file year. This detailed and varied information lends itself to firm and employment trend analysis by location and business type.** * When the file was developed in 1973, several alternatives were considered. M.A.R.C. found that the Division of Employment and Security records are not as detailed to the individual firm as Contacts. Their records often represent corporate or headquarter information. The Dunn and Bradstreet business file was also considered, but at that time, M.A.R.C. felt Dunn and Bradstreet failed to update individual firm’information on an annual basis; rather, only when credit references were run. ** In its original form, the M.A.R.C. employment file contained a number of inconsistencies. These included duplicate records, missing records, and incorrect S.I.C. code, census tract, or employment information. To make the file information more reliable, an update was undertaken to correct these errors. Records of firms with five or more employees were examined; in several areas of the county, records of all business establishments were examined. Overall, approximately 10,000 of the 36,300 entries on the file were scrutinized. Of these 10,000 records, 2,113 alterations were made, including 500 deletions of duplicate records, the addition of 157 new records. and 1,456 changes involving S.I.C. code, census tract, or employ- ment information. . As a test for compatibility, the M.A.R.C. employment file tabulations were compared with 1977 County Business Patterns data for Wyandotte County. Business establishments and employment were grouped together by employee size class and S.I.C. category and compared, as shown in Tables 7 and 8. The figures in Table 7 show that there were some major differences between the M.A.R.C. employment file and County Business Patterns data in several employee size classifications. For example, while there was a small difference (4.1%) between the two data bases in the number of firms in the five to nineteen employee range, the contrast was substantial in the one to four employee range and with establishments having 20 or more employees. In the fonner category, the M.A.R.C. employment file contained 3,371 firms, while County Business Patterns enume‘ated just 1,583 establish- ments. In the latter category, County Business Patterns outnumbered the MLA.R.C. employment file 520 to 344. Two major reasons might account for these disparities between the two information sources. First of all, County Business Patterns only enumerates those establishments with payroll records, while the MLAJR.C. employment file contains records of all establishments regardless of payroll. The 1977 Census of Retail Trade* reported 1,225 retail establish- ments in Wyandotte County, nearly 400 of which had no payroll data. Assuming that most of these 400 firms fell into the one to four employee range, this helps to explain the substantial difference between the two data bases for this particular size class. Secondly, the M.A.R.C. employment file uses a standardized employment estimate based on a firm's Contacts Influential size code and its S.I.C. code rather than an actual count. These estimates * the 1977 Economic CensUETTEFBduced every five years by the Bureau of the Census. These publications would have provided a-better information base than County Business Patterns to compare with the M.A.R.C. employment file, but a§_6f_this writing only three 1977 publications (Retail Trade, Whole- sale Trade, and Services) were available. The 1977 Census of Retail Trade is one of several publications comprising .Omdfl 6 mm WEOHHUQ mmofiwmfim kpczou meflms newsmaoo one moococomwmm mm.~fi-v fle.mm -V nu.e -V mo.mafl +v «has ooeococoua auemocmwe HH- men. He- wms.fi+ mo.ooH+c no.0m-v mo.oo+v fla.mH-V Am.em -V hm.mm -V mm.fi +c mm.s -U flo.mHH +c vase ooeoaomuum e + m - o + mH- am - mNH- o + as - wma.fi+ s OH. OH co OOH emm Nam coo mam.fi accesses amoewmsm season m N OH mm so 09H mom mmm Ham.m Oahu .o.m.<.w ooo.u mmm-oom mae-om~ oem-ooa mm-om me-om mu-oH m-m e-fi mowsom spam oNfim ooonoEm kn mucoagmfifienumm mo popezz puma ammoqm2m wm mHsz:mHgmHZDOU .m>.nas so Hoocom oafipsm edsfioca go: meow mp0 meg p¢0§kofim50 ooflmwo umom so neonfiflmh omzpuefl we: meow su0m0pmo m;~ * Wmflfinzumo mo omawueH .Eogu oumuoesco uo: meow mcpouumm mmocflmzm xpczoo oocflm .>Hco mooonmEe ouos no o>flw sud; mo:u.: .Eo:p umaea fl .mcofiwmfiznmp mum ca pcoaonQEQ ucofizuo>ou owzaocfi no: moon mangoes; mmoewmsm medom a .ommn m we manoupmm mmocflmsm suezou mcwmz eOpSQEOU one moucoso mmHQ m 5a.? -V ama.~- Nmo.mm mao.mm mm -V aaN- mam.fi Ham.a m5eh " .qa -v mmN - wNo.N mNa.H mH.H -V H - ma Na .m.m.H mo.o .V was - Hmm.w new.“ ma.mm -v no - ads mam Hflat "ha.a +v me? + mfia.m mma.o mo.m -V NH - saw NON anamoso_ was.oH -v mos - smm.s QHH.V no.NH +V HH + mm mom .l.:.a.o me.a +U mam + mam.H~ moa.HN as.mfi -V am - mom maH mcaasaaausc. ”ma.ma -V Nam - oqfl.a mmo.m Aw.m -v m - Hmfi ONH censusaaa:_ mmm.om -v ea - mm mm “0.0m -V m - o m mass m am.msv+v mg + NN QNH mo.ooa+v m + m ca casuHsUaas “and mu: :aucua ipwrcmww. .mwmmnmaa «Had bééwofimfl .u.m.<.2 ”H7Q§8%fl 9/8a mszEmSm/agmm mmmszDm m m3 3:. 3.1 Business Trends by Type and Location This portion of the summary report examines Wyandotte County trends both by selected business type and by location. To make this analysis more easily understandable, the county was partitioned into twenty neighbor- hoods. Accompanying discussions of changes that have taken place between 1973 and 1977 for selected business categories are tables displaying these changes in each of the twenty neighborhoocs and shade maps graphically portraying these patterns by census tract.* Figure 3 familiarizes the reader with the names and locations of the Wyandotte County neighborhoods, and Figure 4 sh ws the locations of Wyandotte County census tracts. 3.1.1 lhnuifactin big Trends for the Manufacturing industries of Wyandotte County are shown in Table 9 and Figures 5 and 6. Manufacturing firms are those businesses involved in the mechanical or chemical transformation of materials or substances into new products. Included in this category are establishments engaged in the processing or refining of food and kindred products, textile products, apparel, wood and paper products, furniture and fixtures, chemicals, petroleum, plastics, leather products, glass and concrete products, metal products, machinery, transportation equipment, and scientific equipment. The Manufacturing category also includes firms involved in the printing and publishing businesses. In 1977, there were 284 Manufacturing establiShments in Wyandotte County, employing a total of 22,019 people. These figures represent 5.4% of the county's total finns and 29.5% of the county's total workforce for that year. Manufacturing's employment totals indicate the significance this business category has in determining the local economic outlook. It is worth noting that three neighborhoods (Fairfax, Armourdale, and Turner) contained approximately 87% of the county's Manufacturing workforce in 1977. * The twenty Wyandotte County neighborhoods actually represent aggregations of the seventy county census tracts. o—Nao beau 2285‘; E0302, .ON u::.. :95qu .0. 5.3 235:0 .2 E3_0>>| _0£0o K. p.230 03...; .2 8o... 2.85? .2 Quota: 0‘— OtOchU .m— xtoi .m. 5053b. 0 —— 0ctc09< .0. 0.0.00.3. .o .233. 855 .m 0. 839E< .n 303.03g .0 c2m£nc0¥ .m $035.62 .V $005.62 .m .o._.U .N x030“. ._ 20:.me m_m>._._.z=oo mCon<>3 r 0.5”...“— I Fill Ill». 0... . . . . . .l I n. I I . bl .. I .x v» ... . p l'rft. .. I» e.. . I. .... ... . 2. . . . . . l . . . .p . . , t n - I-Ivf . IIUrLI ' PI. Innil .iv-nr. I! r lehxr- . .Ii! In ' wk. ID. .r If Ill l.l. .rn nllr»! I. , ?.r {II . [I b u. N. 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Ncm.NH mm xndpwafl pcoeonmEm meuflm «aoflumm «Owned ccwm ucoexofiaem mesa; «*oflumm «oflumm swam unosonmem magma voocuopcwfioz .omcngu » .omcmzu « pcoexoflmem nnmfi ucoeonasm mNmH m2~§52 9734.54.22 :7.< .322: 2a 20735 .52 to -.—-. ..... ...-.-- —‘~~.~. “a- “—M . _ . 9—... —__..._.~- .._, —M.._..—»..——_-.-‘~—.———- -_~.——-— _o- .. .u--h...-.. $001. 1 o UJHL. 1.17.1“. 7.) . 01.0.. Y. M”. \N... VhIHl/ssko I P. IIMHIUW/i. DNUIV 1114/... .w/_O.}KJ IDs—NU. 11.1-11. . \\ . (U11... ,1. - 0.1.1. 911.111....111 1.1L \ . .. J ,. AVMWLJPII ((UIU7NHmv1fiJ a “ma/LO Hu .<1K .....Z1....>.%O.1..nu...>.U OZHmUp-U/..I..UZ....X 7.....1. MOfiXfi.) -. ___ _.__...-_._.. ”—- - . At the neighborhood level, the Central Industrial District (-4 firms, ~33? employees), Northeast (—S, -51), lirerview (~10, -130), Argentine (~4, ~19S), fairfax (—7, -238), Muncie (~3, ~9), and Bethel-Welborn (~S, -18) all experienced significant decreases in Manufacturing establishments and employment. The outmigration of firms from these four neighborhoods covered many different Manufacturing categories, with concentration among businesses Specializing in food and kindred products, furniture, printing and publishing, and fabricated metal products. In Armourdale it was difficult to discern any noticeable trends, since there occurred a net loss of nine firms but a net gain of 55 employees. Areas that experienced increases in both Manufactur- ing firms and employment through this time period include Kensington (+3, +20), Shawnee Heights (+1, +110), Turner (+3, +76), Rosedale (+7, +101), Morris (+3, +9), Nearman Hills (+4, +17), and Western Wyandotte County (+10, +156). The firm increases in these areas were varied among different types of manufacturers, although business specializing in printing/publishing, wood products, and fabricated metal products made up a good portion of these gains. 3.1.2 Transportation/Communications/Public Utilities (T.C.P.U.) Table 10 and Figures 7 and 8 depict summary trends for T.C.P.U. estab- lishments in Wyandotte County between 197 and 1977. The T.C.P.U. category includes those firms engaged in railroad trans- portation, local and inter-urban passenger transportation, motor freight transportation and warehousing, water transportation, air transportation, transportation services, communications, and electric, gas and sanitary services. Also included in this grouping are firms specializing in pipeline transit and the United States Postal Service. T.C.P.U. establishments in Wyandotte County in 1977 numbered 263 while employing 9,810 workers. These figures represent 5.0% of the existing . rL.’ - I.E»..E ylk r FYI I. |IL.I’II.?IP Full 68:93:30: .8303qu a 5 2053350 mo 5323350 05 mmumufivfi 98 3358 03.28 05 mo 35 on 233 2058350 93920833: some mo 3pm." 05 ma 033 unoioag 05. c... 685853: anquumu m 5 533388“. 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OQN HH mpano: moczmsm N.o - o.oH + NN. .NN. mHH.m Ho am. NN. HNH.N Hm oHaensosu< o.N - m.HH + mH. HH. wav.H mN oH. HH. mNm.H 0N 3mH>po>Hm 5.0H + o.oOH+ 00. Ho. HN N co. co. NH H coquHmcoz o.m + N.mm + Ho. No. em a Ho. Ho. mm N “moznuuoz m.mN + o.OH - Ho. no. NHH a Ho. «0. Na OH pmmmgucoz m.m - n.0N + co. so. mNN vN co. mo. mam mH uuHupmHo .ecH Hmuuaou N.NH + N.N - mo. NH. wa we mo. mH. cos .mq xawuHmm “coasoneM meeHm agoHuam «oHpmm seHm “cmENoHaem meeHm «aoHumm ‘oHuaa suHm pcoesonem meuHe coogeopszoz .omcagu * .omcmgu * pcoesoHasm NNQH unmesngEm MNmH .:.a.u.s oH mamOJQXU JHUZEOU JEZDOU UkhOQZ<>Z J . kill; m 9:::; mn-Man .m%0PZUOU wPPOQZ<>X .m-.r 7_UZIw HJa<-flfiu Dave ZH U02Hu uH7DOU MHHQQZ<>Z w 95% E [L An-mhmw .wFUX .FZUX%OJ&XU UQUP ZH UOZnent despite losses in establishments. Over the same time period, the Central Industrial District (+5, -20), Riverview (+3, -31), and Armourdale (+10,.-6) all experienced net gains in business firms and net losses in employment.* In neighborhoods where losses in T.C.P.U. establishments occurred, businesses specializing in trucking and warehousing, air transportation, and utility services suffered most. Neighborhoods in which major increases in T.C.P.U. establishments and employment occurred between 1973 and 1977 include Turner (+2, +51), Coronado (+2, +18), and Western Hyandotte County (+6, +280). In these areas major gains were made by firms engaged in trucking and warehousing. 3. 1 . 3 hholesal ing Summary data for Wholesaling establishments in Wyandotte County for the years 1973 through 1977 are displayed in Table 11 and Figures 9 and 10. * As was mentioned previously, net changes in business establishments are in all likelihood more accurate than changes in employment. V‘.”€~f.r~.rd ’4—‘ .., «p..- I-w- -~o;,..-. .. --~ ~_.-.. 5......" on - ‘.I~§ ~. <~-~"-;-- - . A. 4v~-sm‘rc=-,-‘ I <-- .— -v\< ‘4I‘M{u‘ - 4.. t n o-.»« n \l J y ”I“ W... .tr .jm‘. v. I“ . -.-. .. 1“». ~ H. 1". ”I 'n- .1 -' .raav Il'rtl .‘LIL . . . . . . . .E.![.|.',EUIQL r L . P IL trill X‘BLI. .pb .niLrs .v r. .llr.>§[ p"; r, » ..)II.. . I .Iw hint. F .- >1 rir: I. Phl- II. [b F .uooguonzmHo: umHsuHuumn m aH ucosonmsm mo coHumuucoucou on» moumqucH was .xpcsou ouHucm on» mo pan» 0» Hmuou ucosxOHQEu m_voo;honcwHoc comm mo oHumh on» mH oHpmh ucoeonmEm ugh «e .voonuonano: umHSUHuqu w cH coHumhucoucou EhHm mo uoumqucH cm mH new .xpasou oz» cH mELHw mo hopes: Hmuou on» xn Hmuou EkHw m.voochon:mHmc some wchH>Hn x9 wousneou mH oHuwu shHm oak a [I ILllr I .'.h>§ r FE . F E .|| samfi-mHmH .sszsou muuhxeesCs 585.3352 2 54:54.; :72 .92: E 8.20 Ez .oHHw ucmsonqem HHucsou Hmconmm muHqu<-uH2 nounsom n.H - n.m - oo.H oo.H Hmw4o new oo.H oo.H mvm.o vow mqho>Hm N.m - N.NN - oo. No. Hm 5 00. No. mm m couwchCmm H.MH - o.om - oo. Ho. mH 0 Ho. no. 50 NH umozruuoz m.om - o.nN - no. mo. omN HN no. co. woe mN ummmguhoz m.n + o.wN + mo. vo. men mH mo. no. HNm «H HUHHumHQ .ncH Hwhucou 3 + 05 ON. 3. 5; 2 mm. 3. 8: 2 3:8 ucoeonm:fl mEpHm «goHumm goHumm suHm ucosonmem mELHm «*0Humm. «oHumm EhHm ucosonaEm mEhHm woocuonzmHoz 35.6 a 3&6 a “85.835 :2 205035 HRH mqr .m J. L rr r .....J-um.,.....trm WWMfifimJ mus/.300 WCuOr 2,... y? .WPZUZIWHJantitrnwm UJIXDUJOIH... ZH UOZHL ....OO UZO WFZMUHQGLK in: 71:4. I.I._....II._ +..nII..Im4|IJ.\2....M-._.._.(x Jahftlb L .{s Ulla flirt. 5. in HZ::»0Jazm ou JI-.a . h I .\ AC. . C _ \ a Ill}. . Lu.?c WWJ ( .._ .— b..-. -_— _~- _———-‘-—————--—_~_ WW-- 1 L momzuo Ohms MHHH- E. 0.53; WFUd‘mF _\1/\.J. .. . ., )...2 _.¢....... _. _ >ImL7e __ er it... 4.. a 3: \. m - Mn mw . muarxmp. WUWZUU I! MOZJRWU 1....u7. A... .u-ZUX>OJQ.Xm H.J.K By definition, Wholesaling firms are businesses who sell merchandise to retailers, to industrial, commercial, institutional, farm, or professional business users, or to other wholesalers. This category includes establish- ments engaged in the wholesale trade of durable goods (motor vehicle parts and supplies, furniture, lumber, construction materials, etc.) and non— durable goods (paper and paper products, drugs, clothing, groceries, etc.). In 1977, the M.A.R.C. employment file reported 447 Wholesaling estab- lishments in Wyandotte County with a workforce of 6,831 employees. These numbers represent 8.4% of the county's business establishments and 9.3% of the county‘s total number of employees for that year. Wholesaling employ~ ment in 1977 was concentrated in the Fairfax, Armourdale, and Turner neighborhoods. On a county~wide basis, Wholesaling establishments and employment °declined between 1973 and 1974, rose in 1975, declined again in 1976, and 1977 increased to a level lower than that in 1973. Several neighborhoods suffered substantial Wholesaling finn and employ- ment losses over the 1973-77 time span. They include Riverview (~24 firms, -164 employees), Northeast (~8, -238), Northwest (~6, -49), Kensington (-2, -1), Rosedale (~1, -81), and Wyandotte Plaza (—3, -4). In all these areas the greatest losses were incurred by wholesalers of durable goods. Armourdale (~5, +92), Turner (-2, +34), and.Muncie (72, +2) each registered a net gain in employment despite net losses in establishments. Fairfax (+0, +71) and Shawnee Heights (+0, +28) both experienced no net increases in Wholesaling establishments between 1973 and 1977, but registered net employment gains. Finally, the Central Industrial District (+4, +24),.Argentine (+18, +105), Coronado (+3, +35), White Church (+2, +6), and Western Wyandotte County (+8, +30) all experienced increases in Wholesaling establishments and employ- ent. The majority of these gains were made by firms engaged in the whole- saling of durable goods. 3.1.4 Retailing Summary trends for Retail establishments in Wyandotte County between 1973 and 1977 are portrayed in Table 12 and Figures 11 and 12. Retail establishments typically sell merchandise for personal or household consumption. Included in this category are establishments engaged in the sale of building materials, hardware, general merchandise, groceries, automobiles, gasoline, clothing, and furniture. Also included under the Retail heading are eating and drinking establishments. In 1977, there were 1,347 Retail establishments in the county employing 8,904 people. These numbers represent 25.4% of Wyandotte County's total firms and 11.9% of its employees for that year. Retail employment in 1977 was dispersed throughout county neighborhoods, although there was some concentration in the Riverview, Coronado, and Wyandotte Plaza areas. According to the summary data tabulated from the M.A.R.C. business file, Retail establishments in the county have not fared well since 1973. There was a substantial decline in the number of Retail businesses between 1973 and 1974, and since 1974, there have been gradual increases in finns and employment. However, 1977 levels were still below 1973 figures. An examination of the data on the accompanying table and maps reveal some fairly obvious trends. In the eastern portion of the county, which contains the Central Business District and some of Kansas City's older neighborhoods, there occurred a considerable net outmigration of Retail establishments and employees. The affected neighborhoods include the North- east (-31 firms, ~112 employees), Northwest (~20, ~81), Riverview (which contains the city's Central Business District: ~44, ~404), Armourdale (—21, ~62), Argentine (~16, ~53), and Fairfax (~10, ~57). Other neighborhoods which experienced Retail net outmigration on a lesser scale were the Central Industrial District (~3, -12) and Bethel-Welborn (~4, ~2). Losses I .l'l 1’ ll. ll? phat 6023833: 9333qu m 5 305.833 mo 53.433588 05 mopmqucH 98 .5860 83:0 05 mo “55 on H33 ~55»ng $328333: 53 mo oHumu era 3 3pm." ucogoHa§ 05. S. .voofioncwHo: .8303qu m 5 5323350 EHM mo 8333:." ca 3 v5 33.58 mg» 5. £53 mo 3&5: H33 05 .3 H33 EC PHvoofionano: some 332% .3 voyage 3 03.3 5.3m 05. « .mHHm psoEHoHnE—m H358 Hmconom «3.853qu 30.58 o.N - Q.“ - oo.H oo.H som.m haqu oo.H oo.H ovaqm mme.H Maegan o.mH + m.mH + so. no. cam om mo. co. was Hm Oppoecasz “we: o.o o.o Ho. Ho. em ma Ho. no. em as mums: eastaoz m.ma + o.o~ + Ho. so. me o no. oo. co m mumsam ouaeaaso m.o - H.¢ - no. mo. ON” 04 No. mo. mNN «a awopuoa-aoauom o.mm + a.” + No. No. man on as. No. GHH mN gunned oases H.mfi + o.NH + OH. co. was «a mo. mo. was ma «NaHa caucuses; o.ma + a.o~ + H0. mo. man mm as. No. OOH oN caucus m.~a + o.mH + 5H. HH. 45¢.H 44H ea. mo. OHH.H NNH oeaeouou w.m + numm + so. as. am a oo. oo. an o mango: m.o + m.¢ + no. ac. omN we mo. mo. emN av “ocean m.ou - o.aH - mo. co. ome as mo. co. saw as weapcmmu< m.~ + m.va - co. co. mam ma co. co. cam mm emanOWOm m.o + o.oa - No. no. HNN me No. no. CNN om magnum: ooezmam N.NH - n.0H - mo. so. was 40H so. mo. son mNH «Haewsoeu< H.0N - 4.4H - ma. ma. oao.a NON NN. HN. eHo.N com sensuosam ~.m~ + o.m - mo. 4o. woe mm no. go. mam mm coumcHWme Q.HH - v.mH - no. so. mNa mm mo. no. men moH “mogzuudz o.o~ - N.m~ - mo. mo. sea OHH so. on. com flea umaogpuoz ~.HH - o.o~ - Ho. Ho. ma NH Ho. no. sea ma puaupmaa .ecH Hawucmu N.mu - m.mm - no. no. QVN on no. No. amm QN xamuuaa pcoesoHaau manna ..0uuam .oauam seam pcoesofiaem manna .«oauam «oauam swam pcaesofiaem menu“ eoocwoaamumz .omcaao a .omcaau ” pcossofiaem Rama usegsoflaem mama 4H2 .rZEéQfiE: az< .93; E mquD .52 .\ . . . .37 . u I . I . . . .. . . LrhfLFNIn’vI-ik [mire-a l » Irrlr‘ ’ l .7 In! ’ .02 P A .1 .rr r P- r In... Er, P v..!V\r\..|v {tr .phn- nl. I.rlr|l.r'l|- i In}. t; Ir a II?!- .,. (V II IN FL ILLr .r 3 El .7 . It . ILL-pl» I) . . IF . | iv} bill r—‘vo‘... 7., . , y'— I-“ q...- ‘--.+- a - ~--vm1~~w- -‘._ -. ”-mwru - ——.—_—.--— Jrr.—_._.._.J. H- “A .. Z%Hu JOJLZQ gfidr mfrnikwfir mwfixw7fiwnv mummwe >PZDOU MPHOQZ<>Z 1‘ NH shaman J. / 9 wJJHz » \I C a I”! 'hl.n .A ~‘nn .. . . . .. . — - r. — ulirJ 1. ul- 1.) 7 .a VIII-1n I“! II 7L»? . WM,“ .7 . m. J J .mem. H... N ///////..\\AAA»J/y \ J J + m m - MN m J J m...U<.Q..H. QUMZUU \./._.Z.J.OU UPPOOZJQJrX . .JJ ZUXy/OJSJXU Jun/«Fr... a ZH HOZfiv x9 cousmsou ma cwumh Sham ash e .oawm pceeonmem Hfiucsou Hanofimom aufiuos<-uflz "mohsom n.o + o.o - oo.H oo.H NOOJNH wmQJH oo.H oo.H mmmJOH ooo.~ mthoh n.a~ + o.o~ + mo. mo. omm ooa co. no. can NNH opponcmsz owe; om H.n - a.HH - Ho. Ho. an cw Ho. Ho. mo“ mm mHHfi: amesmoz ma o.o m.m + co. Ho. No ma oo. ao. ~o NH wwwsfim opmncfiso ma h.m~ + n.“ + No. co. «mm on No. no. onw mo chonaez-aonuom NH m.mH + n.0H + H0. mo. mmN om Ho. No. NON we nousnu eufigz 0H w.HH~+ m.v + OH. vo. NH5.H mm no. we. mam Hm «Nada ouuoeqmsa ma v.0 . o.o oo. No. mm mm Ho. No. em mm oflocsz ea 5.0 - ~.m + No. no. QNN cc No. no. mom Ho oemcosou ma 0.0“ + H.HH - oo. oo. «Q m oo. oo. mN m mappoz NH w.m + v.0“ + No. co. own an mo. mo. ovm Ho accuse HH o.m + m.n + no. no. nmm NmH no. co. omv mNH ocfiucoms< OH m.m + o.~ - Nm. no. mwo.m «VH mm. no. some Bea cameomom m m.mH + o.o ao. No. mmN we Ho. No. mNN we munwflo: mocxmam m ~.q - m.n - No. mo. saw no No. mo. mow HCH o~mnu50§u< n m.HH + m.H - 0N. NN. mHva vmm VN. 5N. mmo.v Hem 30H>ue>fim o o.Hn - v.m + No. mo. Hmv Hm mo. co. meJH mm cepmcamzox m v.H + ¢.oH - no. co. mom HNH mo. no. mow mmH umezeuuoz v m.m - o.wH - mo. OH. 5mm com 00. ma. mmm «mm unmonupoz m ~.wm + o.mN - Ho. oo. em a oo. “o. no NH pefikumfio .vcH Hmkucmu N N.oH - .m.- - Ho. Ho. HHN nN Ho. Ho. mmN 0N xmmufiwm H unec20~mam wand; «eofluaz «ofiuwm sham usesxowmem mEhMm «Jeanna «ofiumm sham ucoeonmsm mahflm vooxuonzmfl z .0956 J. .0986 J. “5.52%.. :2 22525 SE mmuH>xmm mfin5m04mim S< - ._ JHUZJOU JPZDOU LFPOQ7PZDOU MFFOOZJ>3 .WPZUXImHJmEHW ZH U024IU PM? —-k—————-—.- -_——-_ .. Whyh ' mmOJ - o ZMVNO .. + mUUFOJQXU U>Hk UJHk FZUE%OJQXU JHUZDOU Jogmzm goa>gg M . Z w m m k. . _ Z W _ M m ._ __ _ Z W m w m M w _ w m h w m _ w h m w m w m w _ mh0<.m-_r MDmZMU o m m M. / _ _ n a . .. a. . r + >PZDOU MPPOOZ<>Z vfi ogzwflm .mp0PZ3OU UFFOOZ<>Z .FZbZ%OJQXm mUH>ZbU ZH UOZfie x9 wousasoo ma oflpmu Ehfim och x .eaflm acmexoflqsm NHucsoo Hmcofimom mowuoe<-vflz "Quezon m.H + N.N + oo.H oo.H mmmwN mum oo.N oo.H Ham.N mom mApo>wm o.mH + m.mm + mo. mo. wNN ma co. no. sea NH acumcflmcox N.Nv - N.NN - no. co. mm va co. mo. va mm umozcuhoz n.mN - m.NH - mo. co. NmN NN no. no. mna vN ummenuuoz m.mm - m.mm - oo. 8. o N 8. S. o m pofiuumflo 65 Hakeem wig - o.o 8. 8. ON m 8. 8. N m ”amine 20525 9:: tong .35 EE 20¢;an 2cm tong «032 E: 205295 was: Bofiofiwaz .owaflc « .0936 s. 205.825 2.2 9.85.835 mSH .u.z.H.u «N snaps. 22-22 52:8 m._§z<§ .28. "3102532 2 ._.a,25.__._§ :7e .52: E nuzse .52 ON aH mH NH 0H ma ca MN NH OH — -.-——- -m-.. ‘ —~—_-_.-—..-———— _———‘_—.o_-_—. *_.~2_4_ —_f--_.__. . .7. UJ. H- u. J_u -U730U <0 u<-w<0 memoio. - o 7..H<0 - + swan mmuzuejm mzo . .. boo uzo Uta/30...”..on Know mu. N.NNmAVIM/wa DH-.61.N.emoMH am. 2...? ...._.._._>_ f) -7 KHZ OJOZU 1.1704 r0 ur HKUFd OHS k0 DUWEOW .a©Z<:U . "(RN mFUmefi. DDmZUU O b. m _.. II... \I... a? >HYJOU hrHO(/.>3 mH “rucHfiHrnlwflnw 5 Id 6 I . .‘III‘J mm, H. J .53. "11.031110 a I I‘ll... 4.50.1113: rvgblrtflnu‘l. cunt ~ )vl..il .DJ.411_ . r . in Valid mo. ... C. _. H147? Iv . 5 9H! a L. a as L -..‘ ————-———._———- i-..._.t___-.._-—.. .___- W..-- _. H -.__._.H “-"WH‘A- -.....—————————-a_~.--___—~_. ,_._.. -,__._. "a”.--..._. - .. .thxxmur mi...) am LUO x... .7300 UPPOOnyxK . WTMEHH .U.m.u..hw ZHH. PM? emOJ - c_ uawa ezuzxoaarm Zd<0 1 .L JHUZDOU Jan .eeao Le etzboc -7111:1:17 t i c. .1. .. mewzbeumabm FOO. 1....20 NNeH meme .uo2<:o em: a 11%... .M = J.” 3 51H... ... 11mm... 1.. . .. -_ _. 1.4.1: Ln},b\f.p ..O..\le-__ C L1 1L. “-fi‘ -———.__—._--. —. _———-___..;__._. _ _.—_.- —-—-—..——. a w m1_1<,0.._. mUwUJZUU Ohm”. : . 7 J 1I.._. \Jxla 3. . .. .2 ._ \slrllml..__ in; ”.0 U Llrllmo.fl\pfl1u7a «\\/1r..\“ 3 0.53s x. m - We. no; . lfilU< $1.. majnwvaurv xii/.300. UL...#OGZ<».K . FZUVC.OJ.Q.}& ment between 1973 and 1977, including Kensington (+7, +21), Shawnee Heights (+1, +3), Argentine (+4, +30), Coronado (+11, +52), Nuncie (+5, +19), Wyandotte Plaza (+8, +194), White Church (+1, +17), Bethel—Welborn (+4, +5), and Western Wyandotte County (+12, +57). F.I.R.E. business increases in these areas were made up of real estate firms, credit agencies, banks, and insurance agents. 3.1.7 Construction Construction industry trends for Wyandotte County are portrayed in Table 15 and Figures 17 and 18. This category includes establishments engaged in building construction, highway and street construction, plumbing, heating, air conditioning, painting, and electrical work. 1977 figures indicate that 345 Construction establishments were located in the county with a workforce of 4,172 persons. These numbers represent 6.5% of the county's total finns and 5.6% of the county's total employment for that year. It is worth noting that between 1973 and 1977 separate trends were in evidence for Construction establishments and employment. The number of Construction firms in the county declined markedly between 1973 and 1975, then rose sharply between 1975 and 1977. Construction employment, however, rose steadily between 1973 and 1977. This apparent discrepancy is supported by County Business Patterns data*. Construction employment in 1977 was most heavily concentrated in.Armourdale, Muncie, Rosedale, Fairfax, the Central Industrial District, Riverview, and Western Wyandotte County. Coungy Business Patterns data show that between 1973 and 1975, the number 'EfFConstruction establishments dropped from 275 to 250, while between 1975 and 1977 Construction finns increased to 284. Employment between 1973 and 1977 fluctuated, but showed an overall increase of 1,300 (from 3,299 to 4,599). DII| 51 I n: r }. .7.p pity-1 rt .1, I... t e. .I.I.I1:- \L-L'|l._1I\I k i7..r .\ .. .b l‘ 1.5.7. . , nil |.IL.I'h1|r.>~.1IF.. .DIF.-.1\.I..IL|I flirt Ir'Lrbr .. ' )1! pl- », [L bi . D1, .voonuonanoa HmaauHuumA a :H uceeonmEe mo .coHumuuceocou on» moumuHecH use .xucsoo oNHuco ecu mo page 0» Hence acmeonmEu m.noosuon:wHoc come mo oHumu o:u mH oHuwh ucoeonaEm ask «« .eooguonsmHoc HmHsoprmm m cH coHumuucvocoo ENHm mo woumoHecH an mH use .xucsoo esp CH menHw mo Hones: Hence ecu Np Hauou cch m.uoogwonanmc Home quvH>He Np vegansoo mH oHumN ENHw age « 502203 ”:22 H: .HZMHZ»O._H=§ :72... .052; ZH 20235 .52 .ofimm UQOEOHE HMUCSOU ngwmm NUHHwEdFfiH—a ”ougow N.oH . N.H + oo.H oo.H NNH.e mam oo.H oo.H omm.m Hem mHaNON m.HN + m.me 1 mo. NH. How me we. mo. omN QN oppoecaNz paw; m.eH - o.m~ - Ho. Ho. mm m Ho. No. me N mHHH: casuaoz m.HH - o.m~ + co. Ho. mH m oo. Ho. NH v mmmsHm oeaeqHso m.HH + m.m - No. we. we OH No. . mo. Ho NH :eonHoa-Hoeuom m.HH + o.OOH+ Ho. me. we NH Ho. No. Na 0 coeseo ouHsz m.oH - H.m - Ho. Ho. Ne OH Ho. no. om HH mNaHN ouuoeeaNe o.omH+ e.HN + 0H. co. mme NN eo. . eo. QVH NH ”Hausa N.oH - «.mH - Ho. no. om HH No. go. on nH oeacoeoe m.mw + o.o co. Ho. HH N oo. Ho. 0 N aHNHQH o.oo + m.HH + No. co. NmN mH Ho. mo. meH NH nosese e.OH + N.oN + No. co. «N mH No. . «o. No mH mchcwmw< H.N + o.NH - mH. co. moo . NN 0H. No. com mN oHueomom ~.o - N.H~ - «o. mo. HmH wH co. No. HoH HN mugmHm: moczmnm o.m - m.m - mH. vH. mNN we NN. mH. vow Hm QHmeesoew< m.NH - N.oH - mo. NH. mam ov HH. HH. . can we on>po>Hm o.mm - 0.0? - CO. No. HH 0 HO. HO. oe OH cosmchcox H.NN - o.o~ - HO. HO. GN w Ho. mo. ow oH Hmozganoz H.N - m.¢ + no. co. omH NN eo. co. mNH HN umaoeuwoz H.N - m.mm - mo. Ho. ”NH N mo. Ho. 0mm m uuHNumHa .ecH Hawoceo o.ooH. m.HH - mo. Ho. «mm . mH mo. mo. NmH NH xaeaHeN usesonmEm mEHHw «eoHumx «oHumm ENHm unoENonem mENHm «goHumm eoHuma EhHm ucoeonqu mchm peosponcwHoz .cwcazo H .omcage H acoENoHaeu NNaH ucoaNoHaEm HNOH 7.028%on mH msmOWfELM .7..___H<0 - + JHUZDOU J-_-ZDOU UF-...OQZ<>K .meHh. ZOHPUDmFWZOU 2H MOZ04mzm o - + JHUZDOU JOJ¢£m m>Hu .oglim ZQHNoijmzou ‘/ mthU/xwfih mquw7fiwmv Oknmww >PZUOU MFFOQZ<>Z mH ONSwHL - .1.__,__-_. u- .4 ._..-- “c“-.. Hr...—_--.—~.—~o..——._7H ....4-H..-7.. --- —_.H__.» L. .-_.__- - - hn-m,\.m... Nmuhv/xmh mUmZUU \rFZDCU UFFOOZchrK .FZUZNrOJnMXU ZOHPUDKPWZOU ZH UOZJNIU FM? On a locational basis, the Northwest (-2 finns, ~11 employees), Kensington (-4, -22), Rivewiew {-8, -51), Aimourdale (-3, ~29), Shawnee Heights {—5, —10), Coronado (-Z, -6), Wyandotte Plaza {-1, -8), Nearman Hills {-2, -18), and the Central Industrial District (-1, -3) neighborhoods all suffered losses in both Construction firms and employment. The majority of these losses occurred among special trade contractors, including establishments engaged in plumbing, heating, painting, electrical work, and carpentry. In several areas, no clear-cut trends were apparent. Fairfax (-2, +192), Rosedale (~3, +41), and Bethel-Welborn (~1, +7) each gained Construction employment despite losses in finns. The Northeast (+1, -9) and Quindaro Bluffs (+1, ~2) areas experienced the opposite effect. The Turner (+2, +143), Argentine (+4, +7), Muncie (+10, +284), White Church (+6, +6), and Western Wyandotte County (+14, +71) neighborhoods all recorded significant gains in Construction establishments and employment. ‘More than 75% of these increases occurred among special trade contractors. 3.1.8 Government For 1977, the M.A.R.C. employment file indicated that there were 145 Government establishments in Wyandotte County with a workforce of 2,380. It is apparent that the file grossly underestimated Wyandotte County Government sector employment between the years 1973 and 1977. Kansas City, Kansas, alone in 1977 employed more than 2,000 people. The addition of Bonner Springs, Wyandotte County, and Federal Government employees adds considerably to this total. Figures provided by the State of Kansas Department of Human Resources indicate that in 1977, Government employment was approximately 15,000. Since the M.A.R.C. employment file captured less than 20% of Government employment in the county in 1977, an examination of trends using the file would not be meaningful. Suffice it to say that the two neighborhoods with the largest concentration of Government firms and employment over this time period were Riverview and Western Wyandotte County. 3.1.9 Total Business Changes Swmnary trends for all types of business establishments within Wyandotte County are displayed in Table 16 and Figures 19 and 20. Aside from the business categories discussed in previous sections of this report, totals also include Agriculture, Mining, Government, and Undefined businesses. The data indicate that several neighborhoods incurred substantial net losses in both their finn and employment bases between 1973 and 1977. They include the Central Industrial District (-7 finns, -386 employees), Northeast (-104, -470), Northwest (-49, —248), Kensington (—3, -961), and Riverview (-138, -555). Fairfax (~29, +15) recorded losses in finns, but employment levels in this neighborhood increased slightly as a result of increases in T.C.P.U. and Construction employment. Armourdale (~38, +27) experienced this same type of trend, having made employment gains in the Manufacturing and Wholesale trade industries despite a net loss of 38 establishments (many were lost as a result of urban renewal programs). Shawnee Heights lost six business establishments, but registered a net employment increase of 170, principally because of gains in Manufacturing. Rosedale (~29, +224) a1So lost buéinesses, but compensated by making considerable gains in.Manufacturing firms and employment. It should be pointed out that these neighborhoods that experienced net out- migration in business are generally these neighborhoods with either the highest concentration of poor, minority, and elderly populations, the oldest housing stock, most dilapidated infrastructure, or the highest rates of unemployment in Wyandotte County. Plr Erl quI-I. mll'uhu...ltllr|lnrz L|4>I Fur. [IVY- P’r r I. .!.Irhllklp.l.b' . ...th; VIII! . 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