Occupations in the Monroe Township, Putnam County, Ohio (Township)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Putnam County and the Monroe Township
Monroe Township
Putnam County
0%5%10%15%20%CountProductionManagementFood ServiceAdministrativeMaterial MovingSales and RelatedConstruction1FacilitiesPersonal CareFarming2Repair3Health TechniciansHealthcare4Social ServiceTransportationEducation5Business6Healthcare SupportLaw EnforcementComputers & MathFire FightingEngineering7ScienceLegalEntertainment822.500000%15.369858%22.500000%22.5%27013.750000%8.260453%13.750000%13.8%16510.333333%5.354624%10.333333%10.3%1248.083333%10.867235%8.083333%8.1%976.250000%5.377193%6.250000%6.3%755.833333%6.595949%5.833333%5.8%705.500000%6.387180%5.500000%5.5%664.583333%3.396716%4.583333%4.6%553.750000%2.482650%3.750000%3.8%453.166667%0.868927%3.166667%3.2%382.583333%4.085087%2.583333%2.6%312.416667%3.075100%2.416667%2.4%292.083333%5.298200%2.083333%2.1%252.000000%1.529086%2.000000%2.0%241.916667%4.181008%1.916667%1.9%231.250000%4.790385%1.250000%1.3%151.166667%2.832478%1.166667%1.2%141.083333%3.165378%1.083333%1.1%131.000000%0.417537%1.000000%1.0%120.500000%1.111550%0.500000%0.5%60.250000%0.530384%0.250000%0.3%30.000000%0.000000%0.0%2.680133%00.000000%0.000000%0.0%0.400609%00.000000%0.000000%0.0%0.304689%00.000000%0.000000%0.0%0.637590%0
Count number of people employed in given occupation
1Construction and extraction 2Farming, fishing, and forestry 3Installation, maintenance, and repair 4Health diagnosing and treating practitioners 5Education, training, and library 6Business and finance 7Engineering and architecture 8Arts, design, entertainment, sports, and media

Relative Occupations#2

Percentage more or less common in the Monroe Township than in Putnam County, among the civilian employed population aged 16 and older.
Scope: population of Putnam County and the Monroe Township
Less Common
More Common
100%0%100%200%%ref.Farming1Law EnforcementFood ServiceManagementPersonal CareProductionFacilitiesSocial ServiceMaterial MovingSales and RelatedConstruction2Health TechniciansAdministrativeRepair3Fire FightingTransportationComputers & MathBusiness4Healthcare5Healthcare SupportEducation6Engineering7ScienceLegalEntertainment8264.433983%264.433983%264.4%3.167%3.17%0.869%0.87%139.500000%139.500000%139.5%1.000%1.00%0.418%0.42%92.979628%92.979628%93.0%10.333%10.3%5.355%5.35%66.455772%66.455772%66.5%13.750%13.8%8.260%8.26%51.048295%51.048295%51.0%3.750%3.75%2.483%2.48%46.390419%46.390419%46.4%22.500%22.5%15.370%15.4%34.934247%34.934247%34.9%4.583%4.58%3.397%3.40%30.797048%30.797048%30.8%2.000%2.00%1.529%1.53%16.231637%16.231637%16.2%6.250%6.25%5.377%5.38%-11.561876%-11.561876%11.6%5.833%5.83%6.596%6.60%-13.890018%-13.890018%13.9%5.500%5.50%6.387%6.39%-21.411774%-21.411774%21.4%2.417%2.42%3.075%3.08%-25.617385%-25.617385%25.6%8.083%8.08%10.867%10.9%-36.761855%-36.761855%36.8%2.583%2.58%4.085%4.09%-52.864362%-52.864362%52.9%0.250%0.25%0.530%0.53%-54.157782%-54.157782%54.2%1.917%1.92%4.181%4.18%-55.017766%-55.017766%55.0%0.500%0.50%1.112%1.11%-58.811089%-58.811089%58.8%1.167%1.17%2.832%2.83%-60.678470%-60.678470%60.7%2.083%2.08%5.298%5.30%-65.775550%-65.775550%65.8%1.083%1.08%3.165%3.17%-73.906066%-73.906066%73.9%1.250%1.25%4.790%4.79%-100.000000%-100.000000%100.0%0.000%0%2.680%2.68%-100.000000%-100.000000%100.0%0.000%0%0.401%0.40%-100.000000%-100.000000%100.0%0.000%0%0.305%0.30%-100.000000%-100.000000%100.0%0.000%0%0.638%0.64%
% percentage of occupation in the Monroe Township
ref. percentage of occupation in Putnam County
1Farming, fishing, and forestry 2Construction and extraction 3Installation, maintenance, and repair 4Business and finance 5Health diagnosing and treating practitioners 6Education, training, and library 7Engineering and architecture 8Arts, design, entertainment, sports, and media

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Putnam County and the Monroe Township
Female Male
Putnam County
Monroe Township
1x0x1xFMManagementAll OccupationsComputers & MathAdministrativeLaw EnforcementPersonal CareFood Service-1.000000x-1.000000x-1.000000x1.946429x1.726257x1.946429x1.95x56109-1.000000x-1.000000x-1.000000x1.479339x1.133245x1.479339x1.48x484716-1.000000x-1.000000x-1.000000x1.000000x2.788462x1.000000x33-1.020833x-4.854103x-1.020833x1.02x1.000000x1.000000x1.000000x4948-1.400000x-1.000000x-1.400000x1.40x1.000000x2.700000x1.000000x75-1.647059x-6.333333x-1.647059x1.65x1.000000x1.000000x1.000000x2817-1.695652x-1.503958x-1.695652x1.70x1.000000x1.000000x1.000000x7846
F number of females employed in given occupation
M number of males employed in given occupation

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Putnam County and the Monroe Township
Monroe Township
Putnam County
0%20%40%60%80%PartFullFood ServiceFarming1Education2Sales and RelatedPersonal CareFacilitiesHealth TechniciansHealthcare SupportAdministrativeAll OccupationsTransportationSocial ServiceHealthcare3ManagementMaterial MovingConstruction4ProductionBusiness5Computers & MathFire FightingLaw EnforcementRepair692.741935%73.761855%92.741935%92.7%115981.578947%44.155844%81.578947%81.6%31780.000000%31.213192%80.000000%80.0%12375.714286%41.745081%75.714286%75.7%531773.333333%73.181818%73.333333%73.3%331261.818182%51.827243%61.818182%61.8%342155.172414%25.504587%55.172414%55.2%161353.846154%49.019608%53.846154%53.8%7649.484536%33.177570%49.484536%49.5%484940.083333%30.485809%40.083333%40.1%48171934.782609%46.288799%34.782609%34.8%81533.333333%36.162362%33.333333%33.3%81628.000000%35.250266%28.000000%28.0%71826.060606%10.724044%26.060606%26.1%4312225.333333%24.449108%25.333333%25.3%195621.212121%20.848057%21.212121%21.2%145212.222222%20.007342%12.222222%12.2%332370.000000%0.000000%0.0%7.370518%0140.000000%0.000000%0.0%8.121827%060.000000%0.000000%0.0%31.914894%030.000000%0.000000%0.0%12.162162%0120.000000%0.000000%0.0%4.419890%031
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Farming, fishing, and forestry 2Education, training, and library 3Health diagnosing and treating practitioners 4Construction and extraction 5Business and finance 6Installation, maintenance, and repair 7Engineering and architecture 8Arts, design, entertainment, sports, and media

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Putnam County and the Monroe Township
Monroe Township
Putnam County
$0k$50k$100k%CountManagementConstruction1Repair2TransportationSales and RelatedAll OccupationsHealth TechniciansProductionMaterial MovingAdministrativeLaw EnforcementBusiness3Facilities$108,235.000000$60,094.000000$108,235.000000$108.2k13.750%13.8%165$93,526.000000$42,042.000000$93,526.000000$93.5k5.500%5.50%66$55,078.000000$54,831.000000$55,078.000000$55.1k2.583%2.58%31$52,750.000000$45,690.000000$52,750.000000$52.8k1.917%1.92%23$45,417.000000$45,168.000000$45,417.000000$45.4k5.833%5.83%70$40,893.000000$42,656.000000$40,893.000000$40.9k100.000%100%1,200$37,031.000000$42,917.000000$37,031.000000$37.0k2.417%2.42%29$35,188.000000$39,748.000000$35,188.000000$35.2k22.500%22.5%270$34,167.000000$36,229.000000$34,167.000000$34.2k6.250%6.25%75$31,806.000000$31,809.000000$31,806.000000$31.8k8.083%8.08%97$31,000.000000$36,625.000000$31,000.000000$31.0k1.000%1.00%12$27,188.000000$60,417.000000$27,188.000000$27.2k1.167%1.17%14$17,386.000000$35,500.000000$17,386.000000$17.4k4.583%4.58%55
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Construction and extraction 2Installation, maintenance, and repair 3Business and finance 4Engineering and architecture 5Education, training, and library 6Arts, design, entertainment, sports, and media 7Health diagnosing and treating practitioners 8Farming, fishing, and forestry

Occupations by County Subdivision in Ohio

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

Management Occupations by County Subdivision#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Monroe Township, selected other county subdivisions in Ohio, and entities that contain the Monroe Township
0%5%10%15%Count#DublinDeerfield TownshipDeerfieldMifflin TownshipMifflinWest Chester TownshipW ChesterAnderson TownshipAndersonViolet TownshipVioletWashington TownshipWashingtonJackson TownshipJacksonLiberty TownshipLibertyBeavercreek TownshipBeavercreekSylvania TownshipSylvaniaStrongsvilleMonroe TownshipMonroeMiami TownshipMiamiZIP Code 45831ZIP 45831LakewoodMentorGreen TownshipGrnFairfieldUnion TownshipUnionMiami TownshipMiamiUnited States of AmericaUnited StatesFindlayMidwestCleveland HeightsCleveland HtsPlain TownshipPlainEast North CentralBoardman TownshipBoardmanOhioJackson TownshipJacksonKetteringColumbusCincinnati030200Tract 030200Putnam CountyPutnamColerain 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%3,1891213.750000%13.750000%13.8%16513.688213%13.688213%13.7%2,7721312.128713%12.128713%12.1%19611.854678%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%1,928239.449398%9.449398%9.4%512,691513k9.208246%9.208246%9.2%2,019249.140390%9.140390%9.1%2,519258.938711%8.938711%8.9%37,82837.8k268.480632%8.480632%8.5%11,70211.7k278.429858%8.429858%8.4%2628.260453%8.260453%8.3%1,4648.000551%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#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Monroe Township, selected other county subdivisions in Ohio, and entities that contain the Monroe Township
$0k$50k$100k%Count#DublinMonroe TownshipMonroeZIP Code 45831ZIP 45831Miami TownshipMiamiJackson TownshipJacksonAnderson TownshipAndersonLiberty TownshipLibertyDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekWashington TownshipWashingtonViolet TownshipVioletStrongsvilleWest Chester TownshipW ChesterMentorSylvania TownshipSylvaniaMifflin TownshipMifflinUnion TownshipUnionPlain TownshipPlainFindlayUnited States of AmericaUnited StatesGreen TownshipGrn030200Tract 030200Bath TownshipEast North CentralMiami TownshipMiamiHuber HeightsJackson TownshipJacksonMidwestOhioColerain TownshipColerainCleveland HeightsCleveland HtsLakewoodParmaKetteringCincinnatiPutnam CountyPutnamCuyahoga FallsFairfieldColumbusBoardman TownshipBoardmanElyriaNewarkHamiltonEuclidClevelandCantonWarrenMansfieldLancaster City TownshipLancaster CityMarion TownshipMarionSpringfieldAkronDaytonToledoLimaMiddletownYoungstownLorain$119,432.000000$119,432.000000$119.4k19.716%19.7%3,8321$108,235.000000$108,235.000000$108.2k13.750%13.8%165$102,917.000000$102,917.000000$102.9k12.129%12.1%196$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$71,198.000000$71,198.000000$71.2k8.430%8.43%262$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$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$60,094.000000$60,094.000000$60.1k8.260%8.26%1,464$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$59,229.000000$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 Monroe Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 112,821.

Management Occupations by County Subdivision#43

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%5%10%Count#Overland ParkPalatine TownshipPalatineYork TownshipLisle TownshipLisleMonroe TownshipMonroeMilton TownshipMiltonDowners Grove TownshipDowners GrvWheeling TownshipWheelingOlatheZIP Code 45831ZIP 45831Washington TownshipWashingtonSchaumburg TownshipSchaumburgMinneapolisBloomingdale TownshipBloomingdaleMaine TownshipMaineLawrence TownshipLawrenceAnn ArborMadisonUnited States of AmericaUnited StatesKaw TownshipMidwestChicagoEast North CentralCapital TownshipCapitalCedar RapidsOhioOmahaLincolnColumbusFargoWichitaSt. PaulSt. LouisSterling HeightsSterling HtsCincinnati030200Tract 030200Putnam CountyPutnamSioux 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%8,801413.750000%13.750000%13.8%16513.607101%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%8,834812.128713%12.128713%12.1%19611.822686%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%5,165199.453745%9.453745%9.5%6,573209.449398%9.449398%9.4%512,691513k9.255914%9.255914%9.3%20,95421.0k218.952573%8.952573%9.0%13,25513.3k228.938711%8.938711%8.9%37,82837.8k238.848749%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%11,70211.7k298.429858%8.429858%8.4%2628.260453%8.260453%8.3%1,4648.151678%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#68

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
$0k$50k$100k%Count#Monroe TownshipMonroeDowners Grove TownshipDowners GrvZIP Code 45831ZIP 45831Milton TownshipMiltonLisle TownshipLislePalatine TownshipPalatineYork TownshipWheeling TownshipWheelingOverland ParkMaine TownshipMaineSchaumburg TownshipSchaumburgAnn ArborCapital TownshipCapitalOlatheBloomingdale TownshipBloomingdaleChicagoSterling HeightsSterling HtsUnited States of AmericaUnited States030200Tract 030200East North CentralMinneapolisMadisonMidwestLawrence TownshipLawrenceOhioWorth TownshipWorthProviso TownshipProvisoSt. PaulRockford TownshipRockfordNorth TownshipNWashington TownshipWashingtonOmahaCedar RapidsKaw TownshipWichitaThornton TownshipThorntonCincinnatiLincolnAurora TownshipAuroraSt. LouisFargoPutnam CountyPutnamColumbusSioux FallsTopekaWarrenCenter TownshipCtrMilwaukeeClevelandGrand RapidsAkronDetroitDaytonKansas CityToledoWayne TownshipWayneSpringfield TownshipSpringfieldBlue Township$108,235.000000$108,235.000000$108.2k13.750%13.8%165$107,431.000000$107,431.000000$107.4k13.533%13.5%10,06110.1k1$102,917.000000$102,917.000000$102.9k12.129%12.1%196$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$71,198.000000$71,198.000000$71.2k8.430%8.43%262$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$66,221.000000$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$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$60,094.000000$60,094.000000$60.1k8.260%8.26%1,464$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k35$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 Monroe Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 547,300.

Management Occupations by County Subdivision#80

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%5%10%15%Count#ManhattanWashingtonSeattle EastPlanoSan FranciscoMonroe TownshipMonroeAtlantaNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseSeattleDenverZIP Code 45831ZIP 45831AustinTownship 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 CentralOhioAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…PhoenixLong Beach-LakewoodLong Bch-LakewoodMiamiBrooklynAlbuquerqueColumbusSacramentoOrlandoEast San Gabriel ValleyE San Gabriel VlyHoustonFort WorthTucsonBaltimore030200Tract 030200Putnam CountyPutnamQueensFresnoSouthwest 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%69,48869.5k513.750000%13.750000%13.8%16513.662246%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%45,08245.1k1112.128713%12.128713%12.1%19611.961508%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%2,096,2572.10M9.449398%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%40,03440.0k299.054172%9.054172%9.1%107,970108k308.957758%8.957758%9.0%26,64126.6k318.938711%8.938711%8.9%37,82837.8k328.891262%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%23,46323.5k398.429858%8.429858%8.4%2628.260453%8.260453%8.3%1,4647.882772%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#105

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
$0k$50k$100k%Count#San JoseManhattanMonroe TownshipMonroeSeattle EastSan FranciscoZIP Code 45831ZIP 45831Town 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 StatesDenver030200Tract 030200East North CentralSacramentoFresnoSalt Lake CitySalt Lk CityMidwestAustinOhioQueensFort WorthBaltimoreSouthwest DallasSW DallasPhoenixTulsaTampaEast San Gabriel ValleyE San Gabriel VlyTucsonAlbuquerqueMiamiLas VegasPhiladelphiaSan BernardinoPutnam CountyPutnamColumbusOrlandoBronxMilwaukeeEl 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$108,235.000000$108,235.000000$108.2k13.750%13.8%165$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$102,917.000000$102,917.000000$102.9k12.129%12.1%196$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$71,198.000000$71,198.000000$71.2k8.430%8.43%262$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$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$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$60,094.000000$60,094.000000$60.1k8.260%8.26%1,464$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k44$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

Education

More Maps to Explore

State:
Ohio
County:
Putnam
Village:
Continental
ZIP Code:
45831
Unified School Districts:
Continental, Paulding
Congressional District:
OH-5
State Senate District:
OH-1
State House District:
OH-81
Neighboring Townships:
Auglaize, Brown, Greensburg, Highland, Palmer, Perry, Pleasant
Nearby Townships:
Defiance, Jackson, Jackson, Liberty, Marion, Monterey, Ottawa, Richland, Union, Washington