Occupations in the Wooster Township, Wayne County, Ohio (Township)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Wayne County and the Wooster Township
Wooster Township
Wayne County
0%5%10%15%CountAdministrativeProductionManagementFood ServiceEducation1Sales and RelatedPersonal CareTransportationHealthcare SupportRepair2Health TechniciansEngineering3Fire FightingBusiness4FacilitiesSocial ServiceMaterial MovingComputers & MathLegalHealthcare5ScienceConstruction6Entertainment7Law EnforcementFarming815.843949%12.775827%15.843949%15.8%39811.066879%12.113660%11.066879%11.1%2788.917197%9.082971%8.917197%8.9%2248.439490%6.175984%8.439490%8.4%2127.285032%6.126867%7.285032%7.3%1837.285032%8.298921%7.285032%7.3%1835.055732%2.839679%5.055732%5.1%1274.179936%5.037201%4.179936%4.2%1053.343949%2.379436%3.343949%3.3%843.224522%3.838388%3.224522%3.2%813.105096%1.722727%3.105096%3.1%782.707006%2.359426%2.707006%2.7%682.547771%0.744029%2.547771%2.5%642.149682%2.754179%2.149682%2.1%542.149682%3.472740%2.149682%2.1%542.030255%1.722727%2.030255%2.0%512.030255%4.265886%2.030255%2.0%511.910828%1.326154%1.910828%1.9%481.751592%0.620327%1.751592%1.8%441.472930%3.128923%1.472930%1.5%371.353503%1.222463%1.353503%1.4%341.273885%4.402321%1.273885%1.3%320.875796%1.115133%0.875796%0.9%220.000000%0.000000%0.0%0.445690%00.000000%0.000000%0.0%2.028342%0
Count number of people employed in given occupation
1Education, training, and library 2Installation, maintenance, and repair 3Engineering and architecture 4Business and finance 5Health diagnosing and treating practitioners 6Construction and extraction 7Arts, design, entertainment, sports, and media 8Farming, fishing, and forestry

Relative Occupations#2

Percentage more or less common in the Wooster Township than in Wayne County, among the civilian employed population aged 16 and older.
Scope: population of Wayne County and the Wooster Township
Less Common
More Common
100%0%100%200%%ref.Fire FightingLegalHealth TechniciansPersonal CareComputers & MathHealthcare SupportFood ServiceAdministrativeEducation1Social ServiceEngineering2ScienceManagementProductionSales and RelatedRepair3TransportationEntertainment4Business5FacilitiesMaterial MovingHealthcare6Construction7Law EnforcementFarming8242.429103%242.429103%242.4%2.548%2.55%0.744%0.74%182.365934%182.365934%182.4%1.752%1.75%0.620%0.62%80.243091%80.243091%80.2%3.105%3.11%1.723%1.72%78.038866%78.038866%78.0%5.056%5.06%2.840%2.84%44.087966%44.087966%44.1%1.911%1.91%1.326%1.33%40.535339%40.535339%40.5%3.344%3.34%2.379%2.38%36.650141%36.650141%36.7%8.439%8.44%6.176%6.18%24.015054%24.015054%24.0%15.844%15.8%12.776%12.8%18.903054%18.903054%18.9%7.285%7.29%6.127%6.13%17.851252%17.851252%17.9%2.030%2.03%1.723%1.72%14.731571%14.731571%14.7%2.707%2.71%2.359%2.36%10.719380%10.719380%10.7%1.354%1.35%1.222%1.22%-1.825103%-1.825103%1.8%8.917%8.92%9.083%9.08%-8.641327%-8.641327%8.6%11.067%11.1%12.114%12.1%-12.217123%-12.217123%12.2%7.285%7.29%8.299%8.30%-15.992789%-15.992789%16.0%3.225%3.22%3.838%3.84%-17.018679%-17.018679%17.0%4.180%4.18%5.037%5.04%-21.462656%-21.462656%21.5%0.876%0.88%1.115%1.12%-21.948386%-21.948386%21.9%2.150%2.15%2.754%2.75%-38.098406%-38.098406%38.1%2.150%2.15%3.473%3.47%-52.407192%-52.407192%52.4%2.030%2.03%4.266%4.27%-52.925331%-52.925331%52.9%1.473%1.47%3.129%3.13%-71.063326%-71.063326%71.1%1.274%1.27%4.402%4.40%-100.000000%-100.000000%100.0%0.000%0%0.446%0.45%-100.000000%-100.000000%100.0%0.000%0%2.028%2.03%
% percentage of occupation in the Wooster Township
ref. percentage of occupation in Wayne County
1Education, training, and library 2Engineering and architecture 3Installation, maintenance, and repair 4Arts, design, entertainment, sports, and media 5Business and finance 6Health diagnosing and treating practitioners 7Construction and extraction 8Farming, fishing, and forestry

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Wayne County and the Wooster Township
Female Male
Wayne County
Wooster Township
2x1x0x1x2xFMManagementProductionBusiness1All OccupationsEducation2ScienceFacilitiesAdministrativeSales and RelatedSocial Service-1.000000x-1.000000x-1.000000x1.909091x2.200641x1.909091x1.91x77147-1.000000x-1.000000x-1.000000x1.598131x3.009031x1.598131x1.60x107171-1.000000x-1.147518x-1.000000x1.076923x1.000000x1.076923x1.08x2628-1.004789x-1.000000x-1.004789x1.00x1.000000x1.227260x1.000000x1,2591,253-1.079545x-2.324778x-1.079545x1.08x1.000000x1.000000x1.000000x9588-1.125000x-1.000000x-1.125000x1.13x1.000000x1.086957x1.000000x1816-1.160000x-1.000000x-1.160000x1.16x1.000000x1.278043x1.000000x2925-1.551282x-3.061885x-1.551282x1.55x1.000000x1.000000x1.000000x242156-1.904762x-1.013239x-1.904762x1.90x1.000000x1.000000x1.000000x12063-2.187500x-1.172018x-2.187500x2.19x1.000000x1.000000x1.000000x3516
F number of females employed in given occupation
M number of males employed in given occupation
1Business and finance 2Education, training, and library

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Wayne County and the Wooster Township
Wooster Township
Wayne County
0%50%100%PartFullEntertainment1Healthcare2Healthcare SupportFacilitiesPersonal CareScienceFood ServiceMaterial MovingSales and RelatedAll OccupationsBusiness3Health TechniciansAdministrativeTransportationProductionComputers & MathSocial ServiceRepair4ManagementEducation5Engineering6LegalFire FightingConstruction7100.000000%34.910277%100.000000%100.0%22075.675676%36.046512%75.675676%75.7%28961.904762%52.217125%61.904762%61.9%523261.111111%57.255107%61.111111%61.1%332157.480315%61.242793%57.480315%57.5%735447.058824%42.261905%47.058824%47.1%161843.396226%72.930781%43.396226%43.4%9212037.254902%26.780384%37.254902%37.3%193231.693989%40.355107%31.693989%31.7%5812526.950637%33.719598%26.950637%27.0%6771,83525.925926%21.532365%25.925926%25.9%144025.641026%43.928194%25.641026%25.6%205825.125628%37.647729%25.125628%25.1%10029821.904762%26.074395%21.904762%21.9%238219.064748%17.765430%19.064748%19.1%5322516.666667%18.655693%16.666667%16.7%84013.725490%28.827878%13.725490%13.7%74412.345679%18.530806%12.345679%12.3%107111.607143%14.179852%11.607143%11.6%261989.836066%43.378860%9.836066%9.8%181657.352941%11.950655%7.352941%7.4%5630.000000%0.000000%0.0%12.903226%0440.000000%0.000000%0.0%32.273839%0640.000000%0.000000%0.0%25.867769%032
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Arts, design, entertainment, sports, and media 2Health diagnosing and treating practitioners 3Business and finance 4Installation, maintenance, and repair 5Education, training, and library 6Engineering and architecture 7Construction and extraction 8Farming, fishing, and forestry

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Wayne County and the Wooster Township
Wooster Township
Wayne County
$0k$50k$100k$150k%CountEngineering1Business2Construction3ManagementComputers & MathRepair4Education5Health TechniciansLegalAll OccupationsProductionAdministrativeTransportationFire FightingFood ServiceSales and RelatedPersonal Care$180,039.000000$64,438.000000$180,039.000000$180.0k2.707%2.71%68$82,619.000000$47,961.000000$82,619.000000$82.6k2.150%2.15%54$78,750.000000$42,483.000000$78,750.000000$78.8k1.274%1.27%32$66,667.000000$59,343.000000$66,667.000000$66.7k8.917%8.92%224$62,917.000000$51,146.000000$62,917.000000$62.9k1.911%1.91%48$42,452.000000$46,771.000000$42,452.000000$42.5k3.225%3.22%81$38,843.000000$51,696.000000$38,843.000000$38.8k7.285%7.29%183$38,333.000000$37,635.000000$38,333.000000$38.3k3.105%3.11%78$36,528.000000$73,781.000000$36,528.000000$36.5k1.752%1.75%44$35,513.000000$40,611.000000$35,513.000000$35.5k100.000%100%2,512$35,496.000000$36,084.000000$35,496.000000$35.5k11.067%11.1%278$32,061.000000$33,318.000000$32,061.000000$32.1k15.844%15.8%398$27,278.000000$42,310.000000$27,278.000000$27.3k4.180%4.18%105$26,833.000000$32,477.000000$26,833.000000$26.8k2.548%2.55%64$26,250.000000$19,337.000000$26,250.000000$26.3k8.439%8.44%212$24,289.000000$35,615.000000$24,289.000000$24.3k7.285%7.29%183$20,700.000000$21,177.000000$20,700.000000$20.7k5.056%5.06%127
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Engineering and architecture 2Business and finance 3Construction and extraction 4Installation, maintenance, and repair 5Education, training, and library 6Arts, design, entertainment, sports, and media 7Health diagnosing and treating practitioners 8Farming, fishing, and forestry

Map of Occupations by Tract in the Wooster Township

Management Occupations by Tract#6

Percentage of the population aged 16 and older employed with occupation: management (%):
7.2%7.8%8.3%8.9%9.4%10.0%

Business Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
0.2%1.3%2.3%3.3%4.3%5.4%

Computers & Math Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
0.26%0.71%1.16%1.61%2.05%2.50%

Engineering Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
0.0%0.9%1.7%2.5%3.4%4.3%

Science Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: science (%):
1.4%2.0%2.6%3.1%3.7%4.3%

Social Service Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: social service (%):
0.0%0.8%1.6%2.4%3.2%4.1%

Legal Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.00%0.37%0.73%1.10%1.47%1.84%

Education Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
5.5%6.1%6.7%7.2%7.8%8.3%

Entertainment Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
0.91%1.17%1.42%1.67%1.93%2.19%

Healthcare Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
0.5%1.6%2.7%3.7%4.7%5.8%

Health Technicians Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
0.0%0.9%1.7%2.5%3.3%4.1%

Healthcare Support Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
0.6%1.6%2.6%3.5%4.5%5.5%

Fire Fighting Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
0.0%0.8%1.5%2.3%3.0%3.9%

Law Enforcement Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.00%0.10%0.21%0.31%0.41%0.52%

Food Service Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: food service (%):
4.7%6.6%8.4%10.2%12.0%13.8%

Facilities Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: facilities (%):
1.7%2.7%3.7%4.7%5.7%6.7%

Personal Care Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: personal care (%):
0.8%1.7%2.5%3.4%4.2%5.1%

Sales and Related Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
4.8%6.6%8.4%10.2%12.0%13.8%

Administrative Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: administrative (%):
11.2%11.9%12.6%13.2%13.9%14.6%

Farming Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
0.0%1.4%2.8%4.2%5.6%7.1%

Construction Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
0.84%1.32%1.79%2.26%2.74%3.22%

Repair Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
0.42%0.84%1.25%1.66%2.07%2.49%

Production Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: production (%):
6.7%8.2%9.6%11.0%12.5%14.0%

Transportation Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: transportation (%):
2.8%3.6%4.4%5.1%5.9%6.7%

Material Moving Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: material moving (%):
0.7%1.3%1.8%2.3%2.9%3.4%
Road Data ©OpenStreetMap

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Occupations by County Subdivision in the Wooster Area

There are 19 county subdivisions in the Wooster Area. This section compares the Wooster Township to all of the county subdivisions in the Wooster Area and to those entities that contain or substantially overlap with the Wooster Township.

Management Occupations by County Subdivision#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in the Wooster Area, and entities that contain the Wooster Township
0%5%10%Count#Chester TownshipChesterEast Union TownshipE UnionSalt Creek TownshipSalt CrkMilton TownshipMiltonWayne TownshipWayneUnited States of AmericaUnited StatesMidwestSugar Creek TownshipSugar CrkChippewa TownshipChippewaEast North CentralZIP Code 44691ZIP 44691OhioWoosterWooster Metro AreaWooster AreaWayne CountyWaynePaint TownshipPaintWooster TownshipWoosterCanaan TownshipCanaanFranklin TownshipFranklinPlain TownshipPlainRittmanBaughman TownshipBaughmanCongress TownshipCongressClinton TownshipClintonGreen TownshipGrn13.978495%13.978495%14.0%234111.808577%11.808577%11.8%380210.595647%10.595647%10.6%185310.254545%10.254545%10.3%141410.245712%10.245712%10.2%221510.035605%10.035605%10.0%14,852,82814.9M9.823005%9.823005%9.8%3,193,2973.19M9.607405%9.607405%9.6%30169.583502%9.583502%9.6%47479.526275%9.526275%9.5%2,096,2572.10M9.464543%9.464543%9.5%2,0389.449398%9.449398%9.4%512,691513k9.171431%9.171431%9.2%1,13989.082971%9.082971%9.1%4,9939.082971%9.082971%9.1%4,9938.925620%8.925620%8.9%10898.917197%8.917197%8.9%224108.581436%8.581436%8.6%196118.357184%8.357184%8.4%146128.333333%8.333333%8.3%139138.207646%8.207646%8.2%234147.936508%7.936508%7.9%180157.935800%7.935800%7.9%178167.344262%7.344262%7.3%112176.688907%6.688907%6.7%40118

Management Income by County Subdivision#56

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in the Wooster Area, and entities that contain the Wooster Township
$0k$50k%Count#Wayne TownshipWayneClinton TownshipClintonChippewa TownshipChippewaUnited States of AmericaUnited StatesEast North CentralGreen TownshipGrnMidwestOhioWooster TownshipWoosterFranklin TownshipFranklinZIP Code 44691ZIP 44691Sugar Creek TownshipSugar CrkWooster Metro AreaWooster AreaWayne CountyWayneRittmanPlain TownshipPlainMilton TownshipMiltonWoosterPaint TownshipPaintEast Union TownshipE UnionCongress TownshipCongressBaughman TownshipBaughmanCanaan TownshipCanaanSalt Creek TownshipSalt CrkChester TownshipChester$95,333.000000$95,333.000000$95.3k10.246%10.2%2211$93,333.000000$93,333.000000$93.3k7.344%7.34%1122$87,174.000000$87,174.000000$87.2k9.584%9.58%4743$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$69,156.000000$69,156.000000$69.2k6.689%6.69%4014$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,170.000000$68,170.000000$68.2k9.449%9.45%512,691513k$66,667.000000$66,667.000000$66.7k8.917%8.92%2245$61,375.000000$61,375.000000$61.4k8.357%8.36%1466$61,076.000000$61,076.000000$61.1k9.465%9.46%2,038$60,000.000000$60,000.000000$60.0k9.607%9.61%3017$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$59,028.000000$59,028.000000$59.0k8.208%8.21%2348$56,842.000000$56,842.000000$56.8k8.333%8.33%1399$55,750.000000$55,750.000000$55.8k10.255%10.3%14110$54,631.000000$54,631.000000$54.6k9.171%9.17%1,13911$51,154.000000$51,154.000000$51.2k8.926%8.93%10812$49,250.000000$49,250.000000$49.3k11.809%11.8%38013$48,036.000000$48,036.000000$48.0k7.936%7.94%17814$42,500.000000$42,500.000000$42.5k7.937%7.94%18015$41,368.000000$41,368.000000$41.4k8.581%8.58%19616$41,146.000000$41,146.000000$41.1k10.596%10.6%18517$37,847.000000$37,847.000000$37.8k13.978%14.0%23418
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 18 by income in given occupation

Occupations by County Subdivision in Ohio

There are 1,606 county subdivisions in Ohio. This section compares the Wooster Township to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with the Wooster Township. The least populous of the compared county subdivisions has a population of 36,945.

Management Occupations by County Subdivision#72

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in Ohio, and entities that contain the Wooster Township
0%5%10%15%Count#DublinDeerfield TownshipDeerfieldMifflin TownshipMifflinWest Chester TownshipW ChesterAnderson TownshipAndersonViolet TownshipVioletWashington TownshipWashingtonJackson TownshipJacksonLiberty TownshipLibertyBeavercreek TownshipBeavercreekSylvania TownshipSylvaniaStrongsvilleMiami TownshipMiamiLakewoodMentorGreen TownshipGrnFairfieldUnion TownshipUnionMiami TownshipMiamiUnited States of AmericaUnited StatesFindlayMidwestCleveland HeightsCleveland HtsPlain TownshipPlainEast North CentralBoardman TownshipBoardmanZIP Code 44691ZIP 44691OhioJackson TownshipJacksonKetteringWooster Metro AreaWooster AreaWayne CountyWayneColumbusWooster TownshipWoosterCincinnatiColerain TownshipColerainBath TownshipCuyahoga FallsLancaster City TownshipLancaster CityNewarkHuber HeightsAkronSpringfieldParmaMiddletownDaytonToledoMansfieldClevelandHamiltonLorainCantonEuclidElyriaWarrenMarion TownshipMarionYoungstownLima19.715991%19.715991%19.7%3,832117.816380%17.816380%17.8%3,559215.856843%15.856843%15.9%3,097315.758887%15.758887%15.8%5,098414.991865%14.991865%15.0%3,133514.742658%14.742658%14.7%3,042614.514888%14.514888%14.5%3,963714.457074%14.457074%14.5%2,989814.137750%14.137750%14.1%2,689914.001539%14.001539%14.0%3,6391013.984169%13.984169%14.0%3,3391113.973971%13.973971%14.0%3,1891213.688213%13.688213%13.7%2,7721311.854678%11.854678%11.9%3,5111411.509441%11.509441%11.5%2,8831511.030862%11.030862%11.0%3,2991610.332956%10.332956%10.3%2,3711710.150167%10.150167%10.2%2,5551810.065724%10.065724%10.1%2,5271910.035605%10.035605%10.0%14,852,82814.9M9.915966%9.915966%9.9%2,006209.823005%9.823005%9.8%3,193,2973.19M9.712008%9.712008%9.7%2,047219.659706%9.659706%9.7%2,586229.526275%9.526275%9.5%2,096,2572.10M9.506435%9.506435%9.5%1,928239.464543%9.464543%9.5%2,0389.449398%9.449398%9.4%512,691513k9.208246%9.208246%9.2%2,019249.140390%9.140390%9.1%2,519259.082971%9.082971%9.1%4,9939.082971%9.082971%9.1%4,9938.938711%8.938711%8.9%37,82837.8k268.917197%8.917197%8.9%2248.480632%8.480632%8.5%11,70211.7k278.000551%8.000551%8.0%2,322287.919537%7.919537%7.9%1,437297.781398%7.781398%7.8%1,982307.778447%7.778447%7.8%1,292317.117799%7.117799%7.1%1,542327.104817%7.104817%7.1%1,214336.884817%6.884817%6.9%6,110346.599836%6.599836%6.6%1,613356.577234%6.577234%6.6%2,677366.498063%6.498063%6.5%1,241376.420093%6.420093%6.4%3,548386.340644%6.340644%6.3%7,664396.319521%6.319521%6.3%1,034406.287799%6.287799%6.3%9,409415.904144%5.904144%5.9%1,546425.642988%5.642988%5.6%1,445435.617044%5.617044%5.6%1,690445.587703%5.587703%5.6%1,236455.338238%5.338238%5.3%1,306465.272457%5.272457%5.3%746474.784477%4.784477%4.8%757484.546894%4.546894%4.5%1,005494.366410%4.366410%4.4%66450

Management Income by County Subdivision#97

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in Ohio, and entities that contain the Wooster Township
$0k$50k$100k%Count#DublinMiami TownshipMiamiJackson TownshipJacksonAnderson TownshipAndersonLiberty TownshipLibertyDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekWashington TownshipWashingtonViolet TownshipVioletStrongsvilleWest Chester TownshipW ChesterMentorSylvania TownshipSylvaniaMifflin TownshipMifflinUnion TownshipUnionPlain TownshipPlainFindlayUnited States of AmericaUnited StatesGreen TownshipGrnBath TownshipEast North CentralMiami TownshipMiamiHuber HeightsJackson TownshipJacksonMidwestOhioWooster TownshipWoosterColerain TownshipColerainCleveland HeightsCleveland HtsLakewoodParmaKetteringCincinnatiZIP Code 44691ZIP 44691Cuyahoga FallsFairfieldColumbusWooster Metro AreaWooster AreaWayne CountyWayneBoardman TownshipBoardmanElyriaNewarkHamiltonEuclidClevelandCantonWarrenMansfieldLancaster City TownshipLancaster CityMarion TownshipMarionSpringfieldAkronDaytonToledoLimaMiddletownYoungstownLorain$119,432.000000$119,432.000000$119.4k19.716%19.7%3,8321$101,604.000000$101,604.000000$101.6k13.688%13.7%2,7722$99,596.000000$99,596.000000$99.6k14.457%14.5%2,9893$95,442.000000$95,442.000000$95.4k14.992%15.0%3,1334$94,449.000000$94,449.000000$94.4k14.138%14.1%2,6895$94,052.000000$94,052.000000$94.1k17.816%17.8%3,5596$89,489.000000$89,489.000000$89.5k14.002%14.0%3,6397$89,452.000000$89,452.000000$89.5k14.515%14.5%3,9638$87,733.000000$87,733.000000$87.7k14.743%14.7%3,0429$86,927.000000$86,927.000000$86.9k13.974%14.0%3,18910$86,560.000000$86,560.000000$86.6k15.759%15.8%5,09811$81,339.000000$81,339.000000$81.3k11.509%11.5%2,88312$76,039.000000$76,039.000000$76.0k13.984%14.0%3,33913$75,026.000000$75,026.000000$75.0k15.857%15.9%3,09714$74,675.000000$74,675.000000$74.7k10.150%10.2%2,55515$74,484.000000$74,484.000000$74.5k9.660%9.66%2,58616$73,672.000000$73,672.000000$73.7k9.916%9.92%2,00617$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$72,212.000000$72,212.000000$72.2k11.031%11.0%3,29918$70,969.000000$70,969.000000$71.0k7.920%7.92%1,43719$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,291.000000$70,291.000000$70.3k10.066%10.1%2,52720$68,793.000000$68,793.000000$68.8k7.105%7.10%1,21421$68,564.000000$68,564.000000$68.6k9.208%9.21%2,01922$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,170.000000$68,170.000000$68.2k9.449%9.45%512,691513k$66,667.000000$66,667.000000$66.7k8.917%8.92%224$64,940.000000$64,940.000000$64.9k8.001%8.00%2,32223$64,869.000000$64,869.000000$64.9k9.712%9.71%2,04724$64,174.000000$64,174.000000$64.2k11.855%11.9%3,51125$62,683.000000$62,683.000000$62.7k6.577%6.58%2,67726$62,412.000000$62,412.000000$62.4k9.140%9.14%2,51927$61,453.000000$61,453.000000$61.5k8.481%8.48%11,70211.7k28$61,076.000000$61,076.000000$61.1k9.465%9.46%2,038$60,088.000000$60,088.000000$60.1k7.781%7.78%1,98229$59,453.000000$59,453.000000$59.5k10.333%10.3%2,37130$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k31$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$59,229.000000$59,229.000000$59.2k9.506%9.51%1,92832$57,240.000000$57,240.000000$57.2k5.338%5.34%1,30633$56,506.000000$56,506.000000$56.5k7.118%7.12%1,54234$55,082.000000$55,082.000000$55.1k5.904%5.90%1,54635$54,952.000000$54,952.000000$55.0k5.588%5.59%1,23636$53,526.000000$53,526.000000$53.5k6.288%6.29%9,40937$52,348.000000$52,348.000000$52.3k5.617%5.62%1,69038$52,167.000000$52,167.000000$52.2k5.272%5.27%74639$51,893.000000$51,893.000000$51.9k6.320%6.32%1,03440$51,741.000000$51,741.000000$51.7k7.778%7.78%1,29241$51,384.000000$51,384.000000$51.4k4.784%4.78%75742$50,870.000000$50,870.000000$50.9k6.600%6.60%1,61343$50,302.000000$50,302.000000$50.3k6.885%6.88%6,11044$49,874.000000$49,874.000000$49.9k6.420%6.42%3,54845$48,263.000000$48,263.000000$48.3k6.341%6.34%7,66446$47,130.000000$47,130.000000$47.1k4.366%4.37%66447$44,881.000000$44,881.000000$44.9k6.498%6.50%1,24148$44,399.000000$44,399.000000$44.4k4.547%4.55%1,00549$42,500.000000$42,500.000000$42.5k5.643%5.64%1,44550
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Wooster Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Wooster Township. The least populous of the compared county subdivisions has a population of 112,821.

Management Occupations by County Subdivision#113

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in the Midwest, and entities that contain the Wooster Township
0%5%10%Count#Overland ParkPalatine TownshipPalatineYork TownshipLisle TownshipLisleMilton TownshipMiltonDowners Grove TownshipDowners GrvWheeling TownshipWheelingOlatheWashington TownshipWashingtonSchaumburg TownshipSchaumburgMinneapolisBloomingdale TownshipBloomingdaleMaine TownshipMaineLawrence TownshipLawrenceAnn ArborMadisonUnited States of AmericaUnited StatesKaw TownshipMidwestChicagoEast North CentralCapital TownshipCapitalZIP Code 44691ZIP 44691Cedar RapidsOhioOmahaWooster Metro AreaWooster AreaWayne CountyWayneLincolnColumbusWooster TownshipWoosterFargoWichitaSt. PaulSt. LouisSterling HeightsSterling HtsCincinnatiSioux FallsProviso TownshipProvisoWorth TownshipWorthNorth TownshipNTopekaGrand RapidsSpringfield TownshipSpringfieldCenter TownshipCtrAkronRockford TownshipRockfordMilwaukeeDaytonToledoClevelandThornton TownshipThorntonWayne TownshipWayneBlue TownshipWarrenKansas CityAurora TownshipAuroraDetroit14.855423%14.855423%14.9%14,75514.8k114.280314%14.280314%14.3%8,688213.861418%13.861418%13.9%8,620313.857442%13.857442%13.9%8,801413.607101%13.607101%13.6%8,201513.532672%13.532672%13.5%10,06110.1k612.498298%12.498298%12.5%10,09810.1k712.497347%12.497347%12.5%8,834811.822686%11.822686%11.8%8,852911.215342%11.215342%11.2%8,0821011.090883%11.090883%11.1%25,34325.3k1110.703868%10.703868%10.7%6,4951210.230974%10.230974%10.2%6,9411310.178765%10.178765%10.2%6,1951410.163555%10.163555%10.2%6,0651510.142086%10.142086%10.1%14,53314.5k1610.035605%10.035605%10.0%14,852,82814.9M9.830735%9.830735%9.8%8,828179.823005%9.823005%9.8%3,193,2973.19M9.686446%9.686446%9.7%125,034125k189.526275%9.526275%9.5%2,096,2572.10M9.490124%9.490124%9.5%5,165199.464543%9.464543%9.5%2,0389.453745%9.453745%9.5%6,573209.449398%9.449398%9.4%512,691513k9.255914%9.255914%9.3%20,95421.0k219.082971%9.082971%9.1%4,9939.082971%9.082971%9.1%4,9938.952573%8.952573%9.0%13,25513.3k228.938711%8.938711%8.9%37,82837.8k238.917197%8.917197%8.9%2248.848749%8.848749%8.8%6,006248.828501%8.828501%8.8%16,19216.2k258.615624%8.615624%8.6%12,87212.9k268.539382%8.539382%8.5%12,73712.7k278.523147%8.523147%8.5%5,422288.480632%8.480632%8.5%11,70211.7k298.151678%8.151678%8.2%6,432307.864640%7.864640%7.9%5,687317.841240%7.841240%7.8%5,512327.755132%7.755132%7.8%5,213337.657261%7.657261%7.7%4,521347.353898%7.353898%7.4%6,892357.129728%7.129728%7.1%5,663367.037418%7.037418%7.0%4,305376.884817%6.884817%6.9%6,110386.845992%6.845992%6.8%5,108396.680024%6.680024%6.7%17,83717.8k406.420093%6.420093%6.4%3,548416.340644%6.340644%6.3%7,664426.287799%6.287799%6.3%9,409436.213626%6.213626%6.2%4,260446.095911%6.095911%6.1%3,830456.010562%6.010562%6.0%4,211465.821231%5.821231%5.8%3,395475.284388%5.284388%5.3%3,524485.277745%5.277745%5.3%3,618494.999593%4.999593%5.0%11,05911.1k50

Management Income by County Subdivision#138

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in the Midwest, and entities that contain the Wooster Township
$0k$50k$100k%Count#Downers Grove TownshipDowners GrvMilton TownshipMiltonLisle TownshipLislePalatine TownshipPalatineYork TownshipWheeling TownshipWheelingOverland ParkMaine TownshipMaineSchaumburg TownshipSchaumburgAnn ArborCapital TownshipCapitalOlatheBloomingdale TownshipBloomingdaleChicagoSterling HeightsSterling HtsUnited States of AmericaUnited StatesEast North CentralMinneapolisMadisonMidwestLawrence TownshipLawrenceOhioWorth TownshipWorthProviso TownshipProvisoSt. PaulRockford TownshipRockfordNorth TownshipNWashington TownshipWashingtonWooster TownshipWoosterOmahaCedar RapidsKaw TownshipWichitaThornton TownshipThorntonCincinnatiZIP Code 44691ZIP 44691LincolnAurora TownshipAuroraSt. LouisFargoColumbusWooster Metro AreaWooster AreaWayne CountyWayneSioux FallsTopekaWarrenCenter TownshipCtrMilwaukeeClevelandGrand RapidsAkronDetroitDaytonKansas CityToledoWayne TownshipWayneSpringfield TownshipSpringfieldBlue Township$107,431.000000$107,431.000000$107.4k13.533%13.5%10,06110.1k1$102,402.000000$102,402.000000$102.4k13.607%13.6%8,2012$102,147.000000$102,147.000000$102.1k13.857%13.9%8,8013$98,054.000000$98,054.000000$98.1k14.280%14.3%8,6884$94,241.000000$94,241.000000$94.2k13.861%13.9%8,6205$89,147.000000$89,147.000000$89.1k12.498%12.5%10,09810.1k6$85,786.000000$85,786.000000$85.8k14.855%14.9%14,75514.8k7$85,408.000000$85,408.000000$85.4k10.231%10.2%6,9418$83,268.000000$83,268.000000$83.3k11.215%11.2%8,0829$82,929.000000$82,929.000000$82.9k10.164%10.2%6,06510$80,069.000000$80,069.000000$80.1k9.490%9.49%5,16511$79,184.000000$79,184.000000$79.2k12.497%12.5%8,83412$76,518.000000$76,518.000000$76.5k10.704%10.7%6,49513$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k14$74,123.000000$74,123.000000$74.1k8.523%8.52%5,42215$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$68,933.000000$68,933.000000$68.9k11.091%11.1%25,34325.3k16$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k17$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,214.000000$68,214.000000$68.2k10.179%10.2%6,19518$68,170.000000$68,170.000000$68.2k9.449%9.45%512,691513k$67,826.000000$67,826.000000$67.8k7.841%7.84%5,51219$67,525.000000$67,525.000000$67.5k7.865%7.86%5,68720$67,483.000000$67,483.000000$67.5k8.616%8.62%12,87212.9k21$67,330.000000$67,330.000000$67.3k6.846%6.85%5,10822$67,213.000000$67,213.000000$67.2k7.755%7.76%5,21323$66,973.000000$66,973.000000$67.0k11.823%11.8%8,85224$66,667.000000$66,667.000000$66.7k8.917%8.92%224$66,221.000000$66,221.000000$66.2k9.256%9.26%20,95421.0k25$65,182.000000$65,182.000000$65.2k9.454%9.45%6,57326$63,972.000000$63,972.000000$64.0k9.831%9.83%8,82827$63,127.000000$63,127.000000$63.1k8.829%8.83%16,19216.2k28$61,967.000000$61,967.000000$62.0k6.214%6.21%4,26029$61,453.000000$61,453.000000$61.5k8.481%8.48%11,70211.7k30$61,076.000000$61,076.000000$61.1k9.465%9.46%2,038$60,380.000000$60,380.000000$60.4k8.953%8.95%13,25513.3k31$60,369.000000$60,369.000000$60.4k5.278%5.28%3,61832$60,259.000000$60,259.000000$60.3k8.539%8.54%12,73712.7k33$60,124.000000$60,124.000000$60.1k8.849%8.85%6,00634$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k35$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$57,952.000000$57,952.000000$58.0k8.152%8.15%6,43236$56,544.000000$56,544.000000$56.5k7.657%7.66%4,52137$56,017.000000$56,017.000000$56.0k5.821%5.82%3,39538$56,000.000000$56,000.000000$56.0k7.037%7.04%4,30539$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k40$53,526.000000$53,526.000000$53.5k6.288%6.29%9,40941$52,944.000000$52,944.000000$52.9k7.354%7.35%6,89242$50,302.000000$50,302.000000$50.3k6.885%6.88%6,11043$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k44$49,874.000000$49,874.000000$49.9k6.420%6.42%3,54845$49,737.000000$49,737.000000$49.7k5.284%5.28%3,52446$48,263.000000$48,263.000000$48.3k6.341%6.34%7,66447$47,046.000000$47,046.000000$47.0k6.096%6.10%3,83048$46,956.000000$46,956.000000$47.0k7.130%7.13%5,66349$44,107.000000$44,107.000000$44.1k6.011%6.01%4,21150
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Wooster Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Wooster Township. The least populous of the compared county subdivisions has a population of 547,300.

Management Occupations by County Subdivision#154

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in the United States, and entities that contain the Wooster Township
0%5%10%15%Count#ManhattanWashingtonSeattle EastPlanoSan FranciscoAtlantaNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseSeattleDenverAustinTownship 1:Charlotte1, CharlotteSan DiegoBostonSalt Lake CitySalt Lk CityOceanside-EscondidoOceanside-Escond…United States of AmericaUnited StatesTampaNortheast DallasNE DallasMidwestSan Fernando ValleySan Fernando VlyTown of HempsteadHempsteadChicagoLos AngelesTulsaOntarioEast North CentralZIP Code 44691ZIP 44691OhioAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…PhoenixLong Beach-LakewoodLong Bch-LakewoodMiamiWooster Metro AreaWooster AreaWayne CountyWayneBrooklynAlbuquerqueColumbusWooster TownshipWoosterSacramentoOrlandoEast San Gabriel ValleyE San Gabriel VlyHoustonFort WorthTucsonBaltimoreQueensFresnoSouthwest DallasSW DallasPhiladelphiaLas VegasEl PasoMilwaukeeSan Antonio CentralSan Antonio CntrlBronxSan BernardinoDetroit16.529703%16.529703%16.5%147,580148k116.121186%16.121186%16.1%56,13856.1k215.623293%15.623293%15.6%47,46747.5k315.500861%15.500861%15.5%44,83544.8k414.223023%14.223023%14.2%69,48869.5k513.662246%13.662246%13.7%38,89338.9k613.543186%13.543186%13.5%40,10340.1k712.957054%12.957054%13.0%47,46747.5k812.910751%12.910751%12.9%113,179113k912.801437%12.801437%12.8%74,54274.5k1012.512177%12.512177%12.5%45,08245.1k1111.961508%11.961508%12.0%56,55756.6k1211.663665%11.663665%11.7%48,44248.4k1310.848509%10.848509%10.8%121,208121k1410.835836%10.835836%10.8%38,39738.4k1510.525230%10.525230%10.5%52,53752.5k1610.133175%10.133175%10.1%30,64130.6k1710.035605%10.035605%10.0%14,852,82814.9M10.028996%10.028996%10.0%32,16632.2k1810.007978%10.007978%10.0%77,27077.3k199.823005%9.823005%9.8%3,193,2973.19M9.795739%9.795739%9.8%88,35688.4k209.718042%9.718042%9.7%37,03437.0k219.686446%9.686446%9.7%125,034125k229.638628%9.638628%9.6%120,847121k239.593634%9.593634%9.6%27,52527.5k249.541810%9.541810%9.5%28,47428.5k259.526275%9.526275%9.5%2,096,2572.10M9.464543%9.464543%9.5%2,0389.449398%9.449398%9.4%512,691513k9.322089%9.322089%9.3%75,84275.8k269.253836%9.253836%9.3%135,932136k279.157509%9.157509%9.2%25,00025.0k289.095453%9.095453%9.1%40,03440.0k299.082971%9.082971%9.1%4,9939.082971%9.082971%9.1%4,9939.054172%9.054172%9.1%107,970108k308.957758%8.957758%9.0%26,64126.6k318.938711%8.938711%8.9%37,82837.8k328.917197%8.917197%8.9%2248.891262%8.891262%8.9%43,38143.4k338.790113%8.790113%8.8%25,48525.5k348.784352%8.784352%8.8%38,22338.2k358.760640%8.760640%8.8%139,658140k368.691664%8.691664%8.7%33,63533.6k378.648273%8.648273%8.6%33,07833.1k388.534917%8.534917%8.5%23,46323.5k397.882772%7.882772%7.9%88,33388.3k407.734261%7.734261%7.7%21,61221.6k417.610727%7.610727%7.6%34,04434.0k427.552407%7.552407%7.6%49,46249.5k437.324046%7.324046%7.3%63,32763.3k447.318891%7.318891%7.3%16,39616.4k456.680024%6.680024%6.7%17,83717.8k466.157572%6.157572%6.2%17,49217.5k475.787761%5.787761%5.8%33,33633.3k485.217072%5.217072%5.2%17,47517.5k494.999593%4.999593%5.0%11,05911.1k50

Management Income by County Subdivision#179

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Wooster Township, selected other county subdivisions in the United States, and entities that contain the Wooster Township
$0k$50k$100k%Count#San JoseManhattanSeattle EastSan FranciscoTown of HempsteadHempsteadPlanoWashingtonNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSeattleAtlantaOceanside-EscondidoOceanside-Escond…BostonTownship 1:Charlotte1, CharlotteOntarioSan DiegoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…ChicagoBrooklynHoustonSan Fernando ValleySan Fernando VlyLos AngelesNortheast DallasNE DallasLong Beach-LakewoodLong Bch-LakewoodUnited States of AmericaUnited StatesDenverEast North CentralSacramentoFresnoSalt Lake CitySalt Lk CityMidwestAustinOhioQueensFort WorthBaltimoreSouthwest DallasSW DallasPhoenixTulsaWooster TownshipWoosterTampaEast San Gabriel ValleyE San Gabriel VlyTucsonAlbuquerqueMiamiLas VegasZIP Code 44691ZIP 44691PhiladelphiaSan BernardinoColumbusWooster Metro AreaWooster AreaWayne CountyWayneOrlandoBronxMilwaukeeEl PasoDetroitSan Antonio CentralSan Antonio Cntrl$121,475.000000$121,475.000000$121.5k12.911%12.9%113,179113k1$110,093.000000$110,093.000000$110.1k16.530%16.5%147,580148k2$107,201.000000$107,201.000000$107.2k15.623%15.6%47,46747.5k3$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k4$95,504.000000$95,504.000000$95.5k9.718%9.72%37,03437.0k5$93,520.000000$93,520.000000$93.5k15.501%15.5%44,83544.8k6$91,833.000000$91,833.000000$91.8k16.121%16.1%56,13856.1k7$88,013.000000$88,013.000000$88.0k13.543%13.5%40,10340.1k8$86,256.000000$86,256.000000$86.3k12.957%13.0%47,46747.5k9$84,827.000000$84,827.000000$84.8k12.801%12.8%74,54274.5k10$83,822.000000$83,822.000000$83.8k13.662%13.7%38,89338.9k11$83,730.000000$83,730.000000$83.7k10.133%10.1%30,64130.6k12$81,070.000000$81,070.000000$81.1k10.836%10.8%38,39738.4k13$78,952.000000$78,952.000000$79.0k11.664%11.7%48,44248.4k14$77,318.000000$77,318.000000$77.3k9.542%9.54%28,47428.5k15$77,183.000000$77,183.000000$77.2k10.849%10.8%121,208121k16$76,982.000000$76,982.000000$77.0k9.322%9.32%75,84275.8k17$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k18$75,289.000000$75,289.000000$75.3k9.054%9.05%107,970108k19$75,216.000000$75,216.000000$75.2k8.761%8.76%139,658140k20$74,051.000000$74,051.000000$74.1k9.796%9.80%88,35688.4k21$73,486.000000$73,486.000000$73.5k9.639%9.64%120,847121k22$73,381.000000$73,381.000000$73.4k10.008%10.0%77,27077.3k23$73,132.000000$73,132.000000$73.1k9.158%9.16%25,00025.0k24$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,368.000000$71,368.000000$71.4k12.512%12.5%45,08245.1k25$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,450.000000$70,450.000000$70.5k8.891%8.89%43,38143.4k26$69,746.000000$69,746.000000$69.7k7.734%7.73%21,61221.6k27$69,155.000000$69,155.000000$69.2k10.525%10.5%52,53752.5k28$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,333.000000$68,333.000000$68.3k11.962%12.0%56,55756.6k29$68,170.000000$68,170.000000$68.2k9.449%9.45%512,691513k$68,144.000000$68,144.000000$68.1k7.883%7.88%88,33388.3k30$67,702.000000$67,702.000000$67.7k8.692%8.69%33,63533.6k31$67,413.000000$67,413.000000$67.4k8.535%8.53%23,46323.5k32$66,772.000000$66,772.000000$66.8k7.611%7.61%34,04434.0k33$66,764.000000$66,764.000000$66.8k9.254%9.25%135,932136k34$66,751.000000$66,751.000000$66.8k9.594%9.59%27,52527.5k35$66,667.000000$66,667.000000$66.7k8.917%8.92%224$65,992.000000$65,992.000000$66.0k10.029%10.0%32,16632.2k36$64,331.000000$64,331.000000$64.3k8.784%8.78%38,22338.2k37$63,298.000000$63,298.000000$63.3k8.648%8.65%33,07833.1k38$62,324.000000$62,324.000000$62.3k8.958%8.96%26,64126.6k39$62,119.000000$62,119.000000$62.1k9.095%9.10%40,03440.0k40$61,788.000000$61,788.000000$61.8k7.324%7.32%63,32763.3k41$61,076.000000$61,076.000000$61.1k9.465%9.46%2,038$60,825.000000$60,825.000000$60.8k7.552%7.55%49,46249.5k42$60,105.000000$60,105.000000$60.1k5.217%5.22%17,47517.5k43$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k44$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$59,343.000000$59,343.000000$59.3k9.083%9.08%4,993$58,762.000000$58,762.000000$58.8k8.790%8.79%25,48525.5k45$57,795.000000$57,795.000000$57.8k5.788%5.79%33,33633.3k46$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k47$51,466.000000$51,466.000000$51.5k7.319%7.32%16,39616.4k48$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k49$46,393.000000$46,393.000000$46.4k6.158%6.16%17,49217.5k50
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Definitions

An occupation describes the kind of work a person does on the job. On this page, all employed persons are categorized into one of the following occupations (bolded terms are used in the charts and maps on this page):

  • Management, business, science, and arts occupations:
    • Management, business, and financial occupations:
      • Management: Management occupations
      • Business: Business and financial operations occupations
    • Computer, engineering, and science occupations:
      • Computers & Math: Computer and mathematical occupations
      • Engineering: Architecture and engineering occupations
      • Science: Life, physical, and social science occupations
    • Education, legal, community service, arts, and media occupations:
      • Social Service: Community and social service occupations
      • Legal: Legal occupations
      • Education: Education, training, and library occupations
      • Entertainment: Arts, design, entertainment, sports, and media occupations
    • Healthcare practitioners and technical occupations:
      • Healthcare: Health diagnosing and treating practitioners and other technical occupations
      • Health Technicians: Health technologists and technicians
  • Service occupations:
    • Healthcare Support: Healthcare support occupations
    • Protective service occupations:
      • Fire Fighting: Fire fighting and prevention, and other protective service workers including supervisors
      • Law Enforcement: Law enforcement workers including supervisors
    • Food Service: Food preparation and serving related occupations
    • Facilities: Building and grounds cleaning and maintenance occupations
    • Personal Care: Personal care and service occupations
  • Sales and office occupations:
    • Sales and Related: Sales and related occupations
    • Administrative: Office and administrative support occupations
  • Natural resources, construction, and maintenance occupations:
    • Farming: Farming, fishing, and forestry occupations
    • Construction: Construction and extraction occupations
    • Repair: Installation, maintenance, and repair occupations
  • Production, transportation, and material moving occupations:
    • Production: Production occupations
    • Transportation: Transportation occupations
    • Material Moving: Material moving occupations

For additional information about the data presented on this site, including our sources, please see the About Page.

More Topics to Explore

Demographics

Income

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More Maps to Explore

State:
Ohio
County:
Wayne
Metro Area:
Wooster Area
ZIP Code:
44691
Unified School Districts:
Southeast, Triway, Wooster
Congressional District:
OH-16
State Senate District:
OH-27
State House District:
OH-1
Neighboring Cities:
Wooster
Neighboring Townships:
Chester, Clinton, East Union, Franklin, Green, Plain, Wayne
Nearby Townships:
Canaan, Lake, Milton, Mohican, Perry, Prairie, Ripley, Salt Creek, Salt Creek, Sugar Creek