Employment Status in the Washington Township, Morrow County, Ohio (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Morrow County and the Washington Township
Washington Township
Morrow County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.057984%065.142857%60.143509%65.142857%65.1%7980.897959%3.442777%0.897959%0.9%1133.959184%36.355730%33.959184%34.0%416
Count population with given employment status
1excluding armed forces 2not in the labor force

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Morrow County and the Washington Township
Washington Township
Morrow County
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-64.432030%-64.432030%-64.432030%64.4%64.432030%1.265645%64.432030%1.265645%65.697674%65.7%346452-0.000000%-2.048417%-0.000000%-2.048417%-2.048417%2.0%0.000000%0.000000%0.000000%0.0%110-33.519553%-33.519553%-33.519553%33.5%33.519553%0.782773%33.519553%0.782773%34.302326%34.3%180236
F females with given employment status
M males with given employment status
1excluding armed forces 2not in the labor force

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of the Washington Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%61.111111%61%10.185185%10%28.703704%29%660.000000%18.867925%19%0.000000%81.132075%81%100.000000%0.000000%0.000000%100.000000%100%00.000000%46.078431%46%0.000000%53.921569%54%470.000000%32.558140%33%0.000000%67.441860%67%140.000000%100.000000%100%0.000000%0.000000%1330.000000%50.588235%51%0.000000%49.411765%49%430.000000%80.952381%81%0.000000%19.047619%19%1870.000000%90.277778%90%0.000000%9.722222%10%1950.000000%100.000000%100%0.000000%0.000000%270.000000%72.727273%73%0.000000%27.272727%27%240.000000%100.000000%100%0.000000%0.000000%120.000000%72.727273%73%0.000000%27.272727%27%400%20%40%60%80%100%Count
Count number of people in age cohort

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of the Washington Township
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1948.387%48.4%78.261%78.3%22.727%22.7%0.000%0%0.000%0%0.000%0%78.333%78.3%0.000%0%0.000%0%41.176%41.2%100.000%100%100.000%100%100.000%100%36.364%36.4%88.542%88.5%75.556%75.6%68.182%68.2%100.000%100%0.000%0%100.000%100%52.632%52.6%100.000%100%100.000%100%0.000%0%0.000%0%72.727%72.7%
F employed females as percentage of age cohort
M employed males as percentage of age cohort

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Morrow County and the Washington Township
More Females More Males
Morrow County
Washington Township
1,000%500%0%M:FFM75+70-7462-6455-5945-5435-4430-3422-2420-21-18.644068%20.000000%20.000000%20.0%1.2001.203036-1,000.000000%-1,000.000000%> 1000%68.181818%0.0000100-1,000.000000%-1,000.000000%> 1000%34.000000%0.0000470-95.555556%0.000000%-95.555556%95.6%0.5110.51884526.315789%9.460888%26.315789%26.3%1.2631.26192420.000000%16.285882%20.000000%20.0%1.2001.2085102233.333333%4.078947%233.333333%233.3%3.3333.334515040.000000%85.614035%40.000000%40.0%1.4001.401014-1,000.000000%-144.525547%-1,000.000000%> 1000%0.0000120
M:F ratio of males to females in the age cohort
F employed females in the age cohort
M employed males in the age cohort

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Morrow County.
Scope: population of Morrow County, the Washington Township, and selected other county subdivisions in Morrow Counties
Washington Township
Morrow County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1978.261%78.3%0.000%0%0.000%0%0.000%0%41.176%41.2%100.000%100%36.364%36.4%75.556%75.6%100.000%100%100.000%100%100.000%100%0.000%0%72.727%72.7%
% employed percentage of male population in the Washington Township

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Morrow County.
Scope: population of Morrow County, the Washington Township, and selected other county subdivisions in Morrow Counties
Washington Township
Morrow County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1948.387%48.4%22.727%22.7%0.000%0%78.333%78.3%0.000%0%100.000%100%100.000%100%88.542%88.5%68.182%68.2%0.000%0%52.632%52.6%100.000%100%0.000%0%
% employed percentage of female population in the Washington Township

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Morrow County and the Washington Township
Washington Township
Morrow County
0%10%20%30%CountBoth Parents Work1Stay at Home Moms1Stay at Home Dads1Neither Parent WorksNeither Parent Wo…1Both Work, No Kids2Ladies Who Lunch2Gents Who Lunch2Neither Works, No KidsNeither Works, No …27.348243%24.356252%7.348243%7.3%237.348243%7.990443%7.348243%7.3%230.000000%0.000000%0.0%0.915848%00.000000%0.000000%0.0%1.035307%039.297125%30.913194%39.297125%39.3%1235.750799%11.600743%5.750799%5.8%1819.488818%8.733740%19.488818%19.5%6120.766773%14.454473%20.766773%20.8%65
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#9

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Morrow County and the Washington Township
Washington Township
Morrow County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work50.000000%71.013932%50.000000%50.0%2350.000000%23.297214%50.000000%50.0%230.000000%0.000000%0.0%2.670279%00.000000%0.000000%0.0%3.018576%0

Employment among the Married Without Children#10

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Morrow County and the Washington Township
Washington Township
Morrow County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work46.067416%47.050505%46.067416%46.1%1236.741573%17.656566%6.741573%6.7%1822.846442%13.292929%22.846442%22.8%6124.344569%22.000000%24.344569%24.3%65

Employment by Educational Attainment#11

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Morrow County and the Washington Township
Washington Township
Morrow County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma358.333333%88.821293%58.333333%58.3%3586.908078%80.748175%86.908078%86.9%31271.686747%72.312623%71.686747%71.7%23870.930233%47.783731%70.930233%70.9%61
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

The Non-Working by Race#12

Percentage of each ethno-racial group's population 16 to 64 years of age that is either unemployed or not in the labor force.
Scope: population of Morrow County and the Washington Township
Female Male
Morrow County
Washington Township
Shaded bar tips show excess over facing bar.
100%50%0%50%%WhiteHispanic1BlackAsianMixedOther-17.548747%-26.002972%-5.807039%-17.548747%17.5%17.548747%9.211817%26.002972%26.760563%26.8%23.193%23.2%-0.000000%-3.030303%0.000000%0.0%0.000000%0.000000%3.030303%12.672176%0.000000%0.0%0.000%0%-0.000000%-31.034483%0.000000%0.0%0.000000%0.000000%31.034483%65.980443%0.000000%0.0%0.000%0%-0.000000%-0.000000%-100.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-65.625000%-12.323718%0.000000%0.0%0.000000%0.000000%65.625000%0.000000%0.0%0.000%0%-0.000000%-0.000000%-50.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Morrow County and the Washington Township
Female Male
Morrow County
Washington Township
Shaded bar tips show excess over facing bar.
2%0%2%4%6%8%10%%WhiteHispanic1BlackAsianMixedOther-0.000000%-3.690037%0.000000%0.0%0.000000%0.000000%3.690037%0.971924%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%11.979167%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#14

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Morrow County and the Washington Township
Female Male
Morrow County
Washington Township
Shaded bar tips show excess over facing bar.
0.00%0.05%0.10%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.037847%0.000000%0.000%0.000000%0.000000%0.037847%0.073595%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Morrow County and the Washington Township
Female Male
Morrow County
Washington Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteMixedHispanic1BlackAsianOther-73.239437%-9.211817%-68.189990%-82.451253%82.5%73.239437%68.189990%5.807039%73.239437%73.2%76.807%76.8%-0.000000%-100.000000%-22.051282%-100.000000%100.0%0.000000%22.051282%12.323718%0.000000%0.0%100.000%100%-0.000000%-84.297521%-12.672176%0.000000%0.0%0.000000%0.000000%84.297521%0.000000%0.0%0.000%0%-0.000000%-2.985075%-65.980443%0.000000%0.0%0.000000%0.000000%2.985075%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%100.000000%0.000000%0.0%0.000%0%-0.000000%-50.000000%0.000000%0.0%0.000000%0.000000%50.000000%50.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in the Columbus Area

There are 181 county subdivisions in the Columbus Area. This section compares the Washington Township to the 50 most populous county subdivisions in the Columbus Area and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 6,814.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Washington Township, selected other county subdivisions in the Columbus Area, and entities that contain the Washington Township
0%50%100%Count#Berlin TownshipBerlinPlain TownshipPlainGenoa TownshipGenoaBexleyWesterville City TownshipWesterville CityGranville TownshipGranvilleHarrison TownshipHarrisonNorwich TownshipNorwichPleasant TownshipPleasantJerome TownshipJeromeLiberty TownshipLibertyConcord TownshipConcordSharon TownshipSharonGrandview HeightsGrandview HtsOrange TownshipOrangeViolet TownshipVioletMifflin TownshipMifflinDublinPataskalaParis TownshipParisNorthmor Local School DistrictNorthmorBlendon TownshipBlendonJefferson TownshipJeffersonWestervilleColumbusPrairie TownshipPrairieUpper ArlingtonDelaware City TownshipDelaware CityUnion TownshipUnionMorrow CountyMorrowMonroe TownshipMonroeHarrison TownshipHarrisonBloom TownshipBloom965000Tract 965000Etna TownshipJackson TownshipJacksonHamilton TownshipHamiltonMadison TownshipMadisonHeathColumbus Metro AreaColumbus AreaMidwestWhitehallUnited States of AmericaUnited StatesTruro TownshipTruroCirclevilleEast North CentralColumbusOhioLiberty TownshipLibertyFranklin TownshipFranklinNewarkJefferson TownshipJeffersonFalls TownshipFallsWalnut TownshipWalnutPike TownshipWashington TownshipWashingtonLondonLancaster City TownshipLancaster CityScioto TownshipScioto965000-3B.G. 965000-3100.000000%100.000000%100.0%524198.918919%98.918919%98.9%915298.883666%98.883666%98.9%1,683398.032787%98.032787%98.0%897497.058824%97.058824%97.1%429596.846011%96.846011%96.8%522696.780684%96.780684%96.8%481796.605431%96.605431%96.6%2,419896.071429%96.071429%96.1%269996.046852%96.046852%96.0%6561095.714286%95.714286%95.7%2,0101195.370370%95.370370%95.4%8241295.162791%95.162791%95.2%1,0231395.064378%95.064378%95.1%4431495.057720%95.057720%95.1%2,6351594.670220%94.670220%94.7%2,8421694.431280%94.431280%94.4%2,3911793.807763%93.807763%93.8%3,0451893.798450%93.798450%93.8%9681993.468885%93.468885%93.5%1,5172093.178295%93.178295%93.2%60193.043478%93.043478%93.0%5352192.483660%92.483660%92.5%8492291.982665%91.982665%92.0%1,6982391.863905%91.863905%91.9%6212491.290323%91.290323%91.3%1,1322590.696609%90.696609%90.7%1,9792690.670752%90.670752%90.7%2,6632790.017513%90.017513%90.0%5142889.293747%89.293747%89.3%1,98589.141005%89.141005%89.1%5502988.726514%88.726514%88.7%4253088.709677%88.709677%88.7%4403187.109375%87.109375%87.1%22387.023460%87.023460%87.0%1,1873286.943509%86.943509%86.9%2,3243386.495726%86.495726%86.5%5063485.825106%85.825106%85.8%1,2173584.935438%84.935438%84.9%5923684.850769%84.850769%84.9%114,826115k84.507990%84.507990%84.5%3,510,6363.51M84.423408%84.423408%84.4%9813783.826751%83.826751%83.8%16,918,49516.9M83.731440%83.731440%83.7%1,2973883.450704%83.450704%83.5%7113983.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k4082.343836%82.343836%82.3%575,063575k80.408163%80.408163%80.4%3944178.668478%78.668478%78.7%5794278.479967%78.479967%78.5%1,9004378.385417%78.385417%78.4%3014478.121137%78.121137%78.1%6324577.419355%77.419355%77.4%3124675.681342%75.681342%75.7%3614775.555556%75.555556%75.6%10275.398230%75.398230%75.4%4264871.724413%71.724413%71.7%1,8014929.613190%29.613190%29.6%467500.000000%0.000000%0.0%0
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in Ohio

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

Employed Working-Age Men by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Washington Township, selected other county subdivisions in Ohio, and entities that contain the Washington Township
0%20%40%60%80%Count#Liberty TownshipLibertyDeerfield TownshipDeerfieldJackson TownshipJacksonViolet TownshipVioletMifflin TownshipMifflinDublinNorthmor Local School DistrictNorthmorWest Chester TownshipW ChesterFairfieldAnderson TownshipAndersonWashington TownshipWashingtonStrongsvilleGreen TownshipGrnMiami TownshipMiamiMiami TownshipMiamiBeavercreek TownshipBeavercreekMorrow CountyMorrowCuyahoga FallsMentorKetteringLakewoodBoardman TownshipBoardmanSylvania TownshipSylvaniaHuber Heights965000Tract 965000FindlayJackson TownshipJacksonParmaUnion TownshipUnionPlain TownshipPlainColumbus Metro AreaColumbus AreaMidwestUnited States of AmericaUnited StatesEast North CentralColumbusColerain TownshipColerainOhioEuclidCleveland HeightsCleveland HtsNewarkLorainMiddletownBath TownshipElyriaWashington TownshipWashingtonCincinnatiCantonToledoAkronLancaster City TownshipLancaster CityHamiltonSpringfieldDaytonClevelandLimaWarrenYoungstownMarion TownshipMarionMansfield965000-3B.G. 965000-398.618307%98.618307%98.6%2,855196.744837%96.744837%96.7%2,764296.678322%96.678322%96.7%2,212394.670220%94.670220%94.7%2,842494.431280%94.431280%94.4%2,391593.807763%93.807763%93.8%3,045693.178295%93.178295%93.2%60192.795162%92.795162%92.8%3,529792.002806%92.002806%92.0%2,623891.772152%91.772152%91.8%2,175991.687268%91.687268%91.7%2,9671091.615290%91.615290%91.6%2,2291190.835580%90.835580%90.8%3,0331290.431165%90.431165%90.4%2,3911389.488201%89.488201%89.5%2,9201489.411367%89.411367%89.4%2,6431589.293747%89.293747%89.3%1,98589.215972%89.215972%89.2%3,0611689.189189%89.189189%89.2%2,4091788.638690%88.638690%88.6%2,5981888.176763%88.176763%88.2%3,0131987.239583%87.239583%87.2%2,0102087.228497%87.228497%87.2%2,0082187.153285%87.153285%87.2%1,7912287.109375%87.109375%87.1%22386.969965%86.969965%87.0%1,9692386.943509%86.943509%86.9%2,3242486.891892%86.891892%86.9%4,5012586.551393%86.551393%86.6%2,7032686.278195%86.278195%86.3%2,2952784.850769%84.850769%84.9%114,826115k84.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k2882.471264%82.471264%82.5%2,5832982.343836%82.343836%82.3%575,063575k80.760000%80.760000%80.8%2,0193080.714576%80.714576%80.7%1,9883178.479967%78.479967%78.5%1,9003278.409091%78.409091%78.4%2,8293377.764178%77.764178%77.8%1,9063477.452745%77.452745%77.5%1,7213576.710647%76.710647%76.7%2,5003675.555556%75.555556%75.6%10275.413111%75.413111%75.4%12,45912.5k3775.353959%75.353959%75.4%2,8743873.599363%73.599363%73.6%12,00712.0k3971.832579%71.832579%71.8%8,2554071.724413%71.724413%71.7%1,8014171.321488%71.321488%71.3%2,5694265.019236%65.019236%65.0%2,1974364.663494%64.663494%64.7%4,7564464.097134%64.097134%64.1%13,62013.6k4558.945549%58.945549%58.9%1,3644653.569594%53.569594%53.6%1,0434752.014945%52.014945%52.0%1,9494847.330961%47.330961%47.3%1,7294941.939322%41.939322%41.9%1,410500.000000%0.000000%0.0%0
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the Midwest

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

Employed Working-Age Men by County Subdivision#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
0%20%40%60%80%Count#Overland ParkOlatheNorthmor Local School DistrictNorthmorWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMorrow CountyMorrowMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargo965000Tract 965000Worth TownshipWorthCedar RapidsMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaColumbus Metro AreaColumbus AreaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoEast North CentralColumbusOhioCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisWashington TownshipWashingtonRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit965000-3B.G. 965000-393.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778293.178295%93.178295%93.2%60191.560055%91.560055%91.6%9,948391.077773%91.077773%91.1%6,921490.865545%90.865545%90.9%8,157590.672074%90.672074%90.7%6,260690.604575%90.604575%90.6%6,654790.562660%90.562660%90.6%7,082890.366782%90.366782%90.4%6,529990.080764%90.080764%90.1%7,9191089.640761%89.640761%89.6%10,08110.1k1189.300338%89.300338%89.3%5,0161289.293747%89.293747%89.3%1,98588.756525%88.756525%88.8%13,26213.3k1388.717454%88.717454%88.7%7,3601488.706564%88.706564%88.7%8,2711588.477574%88.477574%88.5%7,0031687.982401%87.982401%88.0%6,9991787.795961%87.795961%87.8%15,12915.1k1887.656994%87.656994%87.7%6,0721987.109375%87.109375%87.1%22386.546302%86.546302%86.5%7,4302086.368701%86.368701%86.4%6,9762186.339842%86.339842%86.3%24,41024.4k2286.115652%86.115652%86.1%8,4292386.096143%86.096143%86.1%24,28624.3k2485.843794%85.843794%85.8%6,1552585.168183%85.168183%85.2%19,85119.9k2684.850769%84.850769%84.9%114,826115k84.507990%84.507990%84.5%3,510,6363.51M84.492648%84.492648%84.5%8,1022784.271268%84.271268%84.3%7,6672884.155952%84.155952%84.2%8,1162983.979482%83.979482%84.0%15,55315.6k3083.826751%83.826751%83.8%16,918,49516.9M83.502988%83.502988%83.5%160,537161k3183.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k3282.343836%82.343836%82.3%575,063575k82.023792%82.023792%82.0%5,5853381.783681%81.783681%81.8%6,4653481.379310%81.379310%81.4%9,2043581.018469%81.018469%81.0%7,5893680.647875%80.647875%80.6%5,7513778.119364%78.119364%78.1%27,72327.7k3877.964562%77.964562%78.0%8,5803977.165002%77.165002%77.2%15,53115.5k4075.555556%75.555556%75.6%10275.508970%75.508970%75.5%7,4924175.413111%75.413111%75.4%12,45912.5k4274.964516%74.964516%75.0%6,8664373.599363%73.599363%73.6%12,00712.0k4471.832579%71.832579%71.8%8,2554569.122876%69.122876%69.1%6,9984666.098861%66.098861%66.1%6,3254764.663494%64.663494%64.7%4,7564864.097134%64.097134%64.1%13,62013.6k4958.323492%58.323492%58.3%22,22322.2k500.000000%0.000000%0.0%0
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the United States

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

Employed Working-Age Men by County Subdivision#35

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
0%20%40%60%80%Count#Northmor Local School DistrictNorthmorPlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityMorrow CountyMorrowTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattle965000Tract 965000Anaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixColumbus Metro AreaColumbus AreaWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueOhioBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoWashington TownshipWashingtonBaltimorePhiladelphiaDetroit965000-3B.G. 965000-393.178295%93.178295%93.2%60193.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k391.358362%91.358362%91.4%50,22750.2k490.463389%90.463389%90.5%122,150122k590.234987%90.234987%90.2%62,20862.2k689.558063%89.558063%89.6%63,34863.3k789.293747%89.293747%89.3%1,98588.885729%88.885729%88.9%53,13553.1k888.524499%88.524499%88.5%95,88095.9k988.135281%88.135281%88.1%47,89847.9k1087.849906%87.849906%87.8%40,92440.9k1187.683423%87.683423%87.7%143,173143k1287.620894%87.620894%87.6%208,826209k1387.587463%87.587463%87.6%63,96664.0k1487.270578%87.270578%87.3%70,13570.1k1587.109375%87.109375%87.1%22386.940737%86.940737%86.9%99,86199.9k1686.642310%86.642310%86.6%32,49032.5k1786.152627%86.152627%86.2%47,84447.8k1886.039514%86.039514%86.0%138,398138k1985.753475%85.753475%85.8%111,910112k2085.725962%85.725962%85.7%102,788103k2185.460025%85.460025%85.5%57,28357.3k2285.286657%85.286657%85.3%50,77250.8k2385.186577%85.186577%85.2%34,01534.0k2485.164431%85.164431%85.2%166,723167k2585.138122%85.138122%85.1%176,814177k2684.850769%84.850769%84.9%114,826115k84.835284%84.835284%84.8%39,14339.1k2784.549061%84.549061%84.5%36,87136.9k2884.507990%84.507990%84.5%3,510,6363.51M84.123947%84.123947%84.1%145,081145k2983.906583%83.906583%83.9%34,27534.3k3083.826751%83.826751%83.8%16,918,49516.9M83.502988%83.502988%83.5%160,537161k3183.435482%83.435482%83.4%25,45725.5k3283.320331%83.320331%83.3%2,401,9262.40M83.264614%83.264614%83.3%110,463110k3383.115810%83.115810%83.1%45,27945.3k3483.010786%83.010786%83.0%37,01737.0k3582.905810%82.905810%82.9%36,84536.8k3682.351470%82.351470%82.4%32,93432.9k3782.343836%82.343836%82.3%575,063575k82.260151%82.260151%82.3%33,06233.1k3881.570097%81.570097%81.6%57,48057.5k3980.378047%80.378047%80.4%40,09940.1k4079.983871%79.983871%80.0%33,72233.7k4179.851538%79.851538%79.9%34,63834.6k4279.525248%79.525248%79.5%56,35056.4k4379.087004%79.087004%79.1%41,61441.6k4478.119364%78.119364%78.1%27,72327.7k4577.746048%77.746048%77.7%65,61365.6k4675.839532%75.839532%75.8%31,09831.1k4775.555556%75.555556%75.6%10274.017917%74.017917%74.0%26,60526.6k4873.120938%73.120938%73.1%66,83466.8k4958.323492%58.323492%58.3%22,22322.2k500.000000%0.000000%0.0%0
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Definitions

  • Armed Forces: persons on active duty in the Armed Forces
  • Employed: persons who did any work for pay during the survey week, those who did at least 15 hours of unpaid work in a family-owned enterprise operated by someone in their household, and those who were temporarily absent from their regular jobs
  • Unemployed: persons are classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work
  • Not in Labor Force: not in the labor force are those who are not classified as employed or unemployed during the survey reference week
  • Working-Age Men: males aged 35 to 44 years old, the national peak employment age

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State:
Ohio
County:
Morrow
Metro Area:
Columbus Area
Unincorporated Place:
Iberia
ZIP Codes:
43320, 43338, 44833
Unified School District:
Northmor
Congressional District:
OH-12
State Senate District:
OH-26
State House District:
OH-87
Neighboring Townships:
Canaan, Congress, Gilead, North Bloomfield, Polk, Tully, Whetstone
Nearby Townships:
Cardington, Claridon, Galion City, Jefferson, Perry, Sandusky, Scott, Troy