Employment Status in the Chester Township, Clinton County, Ohio (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Clinton County and the Chester Township
Chester Township
Clinton County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.015138%060.067797%57.378141%60.067797%60.1%8863.661017%4.044808%3.661017%3.7%5436.271186%38.561913%36.271186%36.3%535

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Clinton County and the Chester Township
Chester Township
Clinton County
60%40%20%0%20%40%60%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-58.801020%-58.801020%-58.801020%58.8%58.801020%2.704045%58.801020%2.704045%61.505065%61.5%461425-3.571429%-3.571429%-3.571429%3.6%3.571429%0.191234%3.571429%0.191234%3.762663%3.8%2826-34.732272%-2.895279%-34.732272%-2.895279%-37.627551%37.6%34.732272%34.732272%34.732272%34.7%295240

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of the Chester Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%0.000000%0.000000%100.000000%100%00.000000%7.777778%8%0.000000%92.222222%92%70.000000%30.434783%30%8.695652%9%60.869565%61%210.000000%31.111111%31%0.000000%68.888889%69%140.000000%53.947368%54%18.421053%18%27.631579%28%410.000000%94.805195%95%0.000000%5.194805%730.000000%89.908257%90%1.834862%8.256881%8%1960.000000%76.923077%77%3.846154%19.230769%19%2400.000000%71.957672%72%9.523810%10%18.518519%19%1360.000000%91.304348%91%0.000000%8.695652%9%840.000000%57.142857%57%0.000000%42.857143%43%80.000000%76.562500%77%0.000000%23.437500%23%490.000000%12.781955%13%0.000000%87.218045%87%170%20%40%60%80%100%Count

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of the Chester Township
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%0.000%0%12.069%12.1%0.000%0%37.500%37.5%24.324%24.3%45.161%45.2%0.000%0%59.615%59.6%41.667%41.7%90.909%90.9%100.000%100%89.109%89.1%90.598%90.6%70.988%71.0%83.333%83.3%85.366%85.4%61.682%61.7%88.406%88.4%100.000%100%57.143%57.1%0.000%0%46.429%46.4%100.000%100%0.000%0%21.519%21.5%

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Clinton County and the Chester Township
More Females More Males
Clinton County
Chester Township
1,000%500%0%M:FFM70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-21-1,000.000000%-1,000.000000%> 1000%106.896552%0.000070-33.333333%-12.121212%-33.333333%33.3%0.7500.75129-1,000.000000%-1,000.000000%> 1000%37.710438%0.0000140-210.000000%-210.000000%210.0%49.152542%0.3230.323110-21.212121%-21.212121%21.2%9.137577%0.8250.83403317.777778%10.069606%17.777778%17.8%1.1781.18901068.695652%6.425916%8.695652%8.7%1.0871.09115125-6.060606%-6.060606%6.1%17.517401%0.9430.947066-165.217391%-165.217391%165.2%12.427410%0.3770.386123-1,000.000000%-1,000.000000%> 1000%3.076923%0.000080176.923077%21.515152%176.923077%176.9%2.7692.771336

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Clinton County.
Scope: population of Clinton County, the Chester Township, and selected other county subdivisions in Clinton Counties
Chester Township
Clinton County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%0.000%0%24.324%24.3%0.000%0%41.667%41.7%100.000%100%90.598%90.6%83.333%83.3%61.682%61.7%100.000%100%0.000%0%100.000%100%21.519%21.5%

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Clinton County.
Scope: population of Clinton County, the Chester Township, and selected other county subdivisions in Clinton Counties
Chester Township
Clinton County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%12.069%12.1%37.500%37.5%45.161%45.2%59.615%59.6%90.909%90.9%89.109%89.1%70.988%71.0%85.366%85.4%88.406%88.4%57.143%57.1%46.429%46.4%0.000%0%

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Clinton County and the Chester Township
Chester Township
Clinton 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 …239.085239%26.294196%39.085239%39.1%1885.405405%6.612767%5.405405%5.4%269.355509%1.894534%9.355509%9.4%450.000000%0.000000%0.0%0.398214%019.750520%26.366598%19.750520%19.8%953.118503%11.837818%3.118503%3.1%159.355509%8.362495%9.355509%9.4%4513.929314%18.233378%13.929314%13.9%67

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 Clinton County and the Chester Township
Chester Township
Clinton County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work72.586873%74.700034%72.586873%72.6%18810.038610%18.786424%10.038610%10.0%2617.374517%5.382242%17.374517%17.4%450.000000%0.000000%0.0%1.131299%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 Clinton County and the Chester Township
Chester Township
Clinton County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work42.792793%40.689013%42.792793%42.8%956.756757%18.268156%6.756757%6.8%1520.270270%12.905028%20.270270%20.3%4530.180180%28.137803%30.180180%30.2%67

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 Clinton County and the Chester Township
Chester Township
Clinton County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma392.651757%85.986066%92.651757%92.7%29093.693694%77.637934%93.693694%93.7%31254.603175%67.656581%54.603175%54.6%17220.833333%55.243243%20.833333%20.8%10

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 Clinton County and the Chester Township
Female Male
Clinton County
Chester Township
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%%WhiteHispanic1BlackAsianMixedOther-28.644940%-2.356650%-27.637216%-7.447065%-31.001590%31.0%28.644940%27.637216%28.644940%28.6%29.868%29.9%-0.000000%-8.695652%0.000000%0.0%0.000000%0.000000%8.695652%1.423395%0.000000%0.0%0.000%0%-0.000000%-29.927007%0.000000%0.0%0.000000%0.000000%29.927007%19.709797%0.000000%0.0%0.000%0%-0.000000%-25.581395%-52.579524%0.000000%0.0%0.000000%0.000000%25.581395%0.000000%0.0%0.000%0%-0.000000%-20.800000%-58.526923%0.000000%0.0%0.000000%0.000000%20.800000%0.000000%0.0%0.000%0%-0.000000%-22.033898%-53.575858%0.000000%0.0%0.000000%0.000000%22.033898%0.000000%0.0%0.000%0%

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Clinton County and the Chester Township
Female Male
Clinton County
Chester Township
Shaded bar tips show excess over facing bar.
10%5%0%5%10%15%%WhiteHispanic1BlackAsianMixedOther-3.430532%-1.020979%-4.633477%-4.451510%4.5%3.430532%4.633477%0.370160%3.430532%3.4%3.960%3.96%-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%-3.389831%-8.289002%0.000000%0.0%0.000000%0.000000%3.389831%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%-6.400000%-2.734615%0.000000%0.0%0.000000%0.000000%6.400000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%19.491525%0.000000%0.0%0.000%0%

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 Clinton County and the Chester Township
Female Male
Clinton County
Chester Township
Shaded bar tips show excess over facing bar.
0.00%0.01%0.02%0.03%0.04%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.040417%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%

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Clinton County and the Chester Township
Female Male
Clinton County
Chester Township
Shaded bar tips show excess over facing bar.
100%50%0%50%%WhiteMixedHispanic1BlackAsianOther-68.998410%-64.915719%-68.998410%69.0%68.998410%2.356650%64.915719%7.447065%71.355060%71.4%70.132%70.1%-0.000000%-100.000000%-20.673077%-100.000000%100.0%0.000000%20.673077%58.526923%0.000000%0.0%100.000%100%-0.000000%-89.880952%-1.423395%0.000000%0.0%0.000000%0.000000%89.880952%0.000000%0.0%0.000%0%-0.000000%-50.363196%-19.709797%0.000000%0.0%0.000000%0.000000%50.363196%0.000000%0.0%0.000%0%-0.000000%-21.839080%0.000000%0.0%0.000000%0.000000%21.839080%52.579524%0.000000%0.0%0.000%0%-0.000000%-24.390244%0.000000%0.0%0.000000%0.000000%24.390244%53.575858%0.000000%0.0%0.000%0%

Employment Status by County Subdivision in the Wilmington Area

There are 14 county subdivisions in the Wilmington Area. This section compares the Chester Township to all of the county subdivisions in the Wilmington Area and to those entities that contain or substantially overlap with the Chester Township.

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 Chester Township, selected other county subdivisions in the Wilmington Area, and entities that contain the Chester Township
0%20%40%60%80%Count#Richland TownshipRichlandLiberty TownshipLibertyJefferson TownshipJeffersonWashington TownshipWashingtonMarion TownshipMarionAdams TownshipAdamsVernon TownshipVernonUnion TownshipUnionMidwestUnited States of AmericaUnited StatesChester TownshipChesterEast North CentralWilmington Metro AreaWilmingtonClinton CountyClintonOhioClark TownshipClarkWilmingtonWilson TownshipWilsonGreen TownshipGrnWayne TownshipWayne96.907216%96.907216%96.9%188196.721311%96.721311%96.7%59291.071429%91.071429%91.1%102391.025641%91.025641%91.0%71490.598291%90.598291%90.6%212590.000000%90.000000%90.0%144687.387387%87.387387%87.4%194786.792453%86.792453%86.8%138884.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.333333%83.333333%83.3%125983.320331%83.320331%83.3%2,401,9262.40M82.435212%82.435212%82.4%2,00482.435212%82.435212%82.4%2,00482.343836%82.343836%82.3%575,063575k79.787234%79.787234%79.8%751075.242047%75.242047%75.2%5441169.230769%69.230769%69.2%361269.078947%69.078947%69.1%1051327.500000%27.500000%27.5%1114

Employment Status by County Subdivision in Ohio

There are 1,606 county subdivisions in Ohio. This section compares the Chester Township to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with the Chester 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 Chester Township, selected other county subdivisions in Ohio, and entities that contain the Chester Township
0%20%40%60%80%Count#Liberty TownshipLibertyDeerfield TownshipDeerfieldJackson TownshipJacksonViolet TownshipVioletMifflin TownshipMifflinDublinWest Chester TownshipW ChesterFairfieldAnderson TownshipAndersonWashington TownshipWashingtonStrongsvilleGreen TownshipGrnMiami TownshipMiamiMiami TownshipMiamiBeavercreek TownshipBeavercreekCuyahoga FallsMentorKetteringLakewoodBoardman TownshipBoardmanSylvania TownshipSylvaniaHuber HeightsFindlayJackson TownshipJacksonParmaUnion TownshipUnionPlain TownshipPlainMidwestUnited States of AmericaUnited StatesChester TownshipChesterEast North CentralColumbusColerain TownshipColerainWilmington Metro AreaWilmingtonClinton CountyClintonOhioEuclidCleveland HeightsCleveland HtsNewarkLorainMiddletownBath TownshipElyriaCincinnatiCantonToledoAkronLancaster City TownshipLancaster CityHamiltonSpringfieldDaytonClevelandLimaWarrenYoungstownMarion TownshipMarionMansfield98.618307%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%3,045692.795162%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%2,6431589.215972%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%1,7912286.969965%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%2,2952784.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.333333%83.333333%83.3%12583.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k2882.471264%82.471264%82.5%2,5832982.435212%82.435212%82.4%2,00482.435212%82.435212%82.4%2,00482.343836%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%2,5003675.413111%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%1,41050

Employment Status by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Chester Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Chester 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 Chester Township, selected other county subdivisions in the Midwest, and entities that contain the Chester Township
0%20%40%60%80%Count#Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWorth TownshipWorthCedar RapidsMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoChester TownshipChesterEast North CentralColumbusWilmington Metro AreaWilmingtonClinton CountyClintonOhioCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit93.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778291.560055%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%5,0161288.756525%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%6,0721986.546302%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%19,85119.9k2684.507990%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%160,537161k3183.333333%83.333333%83.3%12583.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k3282.435212%82.435212%82.4%2,00482.435212%82.435212%82.4%2,00482.343836%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%15,53115.5k4075.508970%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%22,22322.2k50

Employment Status by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Chester Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Chester 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 Chester Township, selected other county subdivisions in the United States, and entities that contain the Chester Township
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleAnaheim-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 AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoChester TownshipChesterEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…Wilmington Metro AreaWilmingtonClinton CountyClintonAlbuquerqueOhioBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit93.125861%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%63,34863.3k788.885729%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%70,13570.1k1586.940737%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%176,814177k2684.835284%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%25,45725.5k3283.333333%83.333333%83.3%12583.320331%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%36,84536.8k3682.435212%82.435212%82.4%2,00482.435212%82.435212%82.4%2,00482.351470%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%31,09831.1k4774.017917%74.017917%74.0%26,60526.6k4873.120938%73.120938%73.1%66,83466.8k4958.323492%58.323492%58.3%22,22322.2k50

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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