Employment Status in the Monroe Township, Mahaska County, Iowa (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Mahaska County and the Monroe Township
Monroe Township
Mahaska County
0%20%40%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.022748%071.140940%62.295268%71.140940%71.1%1065.369128%4.191310%5.369128%5.4%823.489933%33.490673%23.489933%23.5%35

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Mahaska County and the Monroe Township
Monroe Township
Mahaska 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%00-65.151515%-65.151515%-65.151515%65.2%65.151515%10.752099%65.151515%10.752099%75.903614%75.9%4363-0.000000%-0.000000%0.000000%0.0%0.000000%9.638554%0.000000%9.638554%9.638554%9.6%08-14.457831%-20.390654%-14.457831%-20.390654%-34.848485%34.8%14.457831%14.457831%14.457831%14.5%2312

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of the Monroe 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%23.076923%23%0.000000%76.923077%77%30.000000%36.363636%36%0.000000%63.636364%64%40.000000%0.000000%0.000000%100.000000%100%00.000000%55.555556%56%0.000000%44.444444%44%50.000000%100.000000%100%0.000000%0.000000%380.000000%100.000000%100%0.000000%0.000000%200.000000%100.000000%100%0.000000%0.000000%110.000000%100.000000%100%0.000000%0.000000%200.000000%0.000000%100.000000%100%0.000000%00.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%100.000000%100%00.000000%100.000000%100%0.000000%0.000000%50%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 Monroe 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%37.500%37.5%0.000%0%0.000%0%50.000%50.0%0.000%0%0.000%0%0.000%0%100.000%100%100.000%100%100.000%100%0.000%0%100.000%100%100.000%100%100.000%100%100.000%100%100.000%100%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%100.000%100%

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Mahaska County and the Monroe Township
More Females More Males
Mahaska County
Monroe Township
1,000%500%0%M:FFM70-7455-5935-4430-34-1,000.000000%-1,000.000000%> 1000%57.303371%0.000030-92.307692%-92.307692%92.3%11.573237%0.5200.522513-20.000000%-20.000000%20.0%26.293103%0.8330.836522.222222%0.372439%22.222222%22.2%1.2221.22911

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Mahaska County.
Scope: population of Mahaska County, the Monroe Township, and selected other county subdivisions in Mahaska Counties
Monroe Township
Mahaska 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%50.000%50.0%0.000%0%100.000%100%100.000%100%100.000%100%100.000%100%100.000%100%0.000%0%0.000%0%0.000%0%100.000%100%

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Mahaska County.
Scope: population of Mahaska County, the Monroe Township, and selected other county subdivisions in Mahaska Counties
Monroe Township
Mahaska 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%37.500%37.5%0.000%0%0.000%0%0.000%0%100.000%100%0.000%0%100.000%100%100.000%100%0.000%0%0.000%0%0.000%0%0.000%0%

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Mahaska County and the Monroe Township
Monroe Township
Mahaska County
0%20%40%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 …28.064516%27.027615%8.064516%8.1%50.000000%0.000000%0.0%9.371603%00.000000%0.000000%0.0%0.804523%00.000000%0.000000%0.0%0.043488%059.677419%25.418569%59.677419%59.7%3712.903226%15.438139%12.903226%12.9%84.838710%3.935638%4.838710%4.8%314.516129%17.960426%14.516129%14.5%9

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 Mahaska County and the Monroe Township
Monroe Township
Mahaska County
0%50%100%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work100.000000%72.562755%100.000000%100.0%50.000000%0.000000%0.0%25.160537%00.000000%0.000000%0.0%2.159953%00.000000%0.000000%0.0%0.116754%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 Mahaska County and the Monroe Township
Monroe Township
Mahaska County
0%20%40%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work64.912281%40.505891%64.912281%64.9%3714.035088%24.601525%14.035088%14.0%85.263158%6.271656%5.263158%5.3%315.789474%28.620929%15.789474%15.8%9

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 Mahaska County and the Monroe Township
Monroe Township
Mahaska County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma380.769231%90.277778%80.769231%80.8%2177.358491%74.784715%77.358491%77.4%41100.000000%68.894069%100.000000%100.0%320.000000%0.000000%0.0%58.085382%0

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 Mahaska County and the Monroe Township
Female Male
Mahaska County
Monroe Township
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%80%%WhiteHispanic1BlackAsianMixedOther-11.940299%-15.332429%-20.827628%-8.229510%-27.272727%27.3%11.940299%20.827628%11.940299%11.9%18.852%18.9%-0.000000%-34.042553%0.000000%0.0%0.000000%0.000000%34.042553%50.167973%0.000000%0.0%0.000%0%-0.000000%-6.666667%0.000000%0.0%0.000000%0.000000%6.666667%43.640082%0.000000%0.0%0.000%0%-0.000000%-13.559322%-12.414704%0.000000%0.0%0.000000%0.000000%13.559322%0.000000%0.0%0.000%0%-0.000000%-37.209302%0.000000%0.0%0.000000%0.000000%37.209302%6.468859%0.000000%0.0%0.000%0%-0.000000%-22.857143%-47.142857%0.000000%0.0%0.000000%0.000000%22.857143%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 Mahaska County and the Monroe Township
Female Male
Mahaska County
Monroe Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%%WhiteHispanic1BlackAsianMixedOther-0.000000%-3.510153%0.000000%0.0%0.000000%11.940299%3.510153%2.742700%11.940299%11.9%6.557%6.56%-0.000000%-14.035088%-0.858529%0.000000%0.0%0.000000%0.000000%14.035088%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%15.337423%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%-11.627907%0.000000%0.0%0.000000%0.000000%11.627907%10.211173%0.000000%0.0%0.000%0%-0.000000%-0.000000%-30.000000%0.000000%0.0%0.000000%0.000000%0.000000%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 Mahaska County and the Monroe Township
Female Male
Mahaska County
Monroe Township
Shaded bar tips show excess over facing bar.
0.00%0.01%0.02%0.03%0.04%0.05%0.06%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.060855%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 Mahaska County and the Monroe Township
Female Male
Mahaska County
Monroe Township
Shaded bar tips show excess over facing bar.
50%0%50%%WhiteHispanic1BlackAsianMixedOther-72.727273%-70.942862%-72.727273%72.7%72.727273%15.332429%70.942862%8.229510%88.059701%88.1%81.148%81.1%-0.000000%-15.789474%-50.167973%0.000000%0.0%0.000000%0.000000%15.789474%0.000000%0.0%0.000%0%-0.000000%-49.693252%-43.640082%0.000000%0.0%0.000000%0.000000%49.693252%0.000000%0.0%0.000%0%-0.000000%-74.025974%0.000000%0.0%0.000000%0.000000%74.025974%12.414704%0.000000%0.0%0.000%0%-0.000000%-56.321839%-6.468859%0.000000%0.0%0.000000%0.000000%56.321839%0.000000%0.0%0.000%0%-0.000000%-30.000000%0.000000%0.0%0.000000%0.000000%30.000000%47.142857%0.000000%0.0%0.000%0%

Employment Status by County Subdivision in the Oskaloosa Area

There are 19 county subdivisions in the Oskaloosa Area. This section compares the Monroe Township to all of the county subdivisions in the Oskaloosa Area and to those entities that contain or substantially overlap with the Monroe 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 Monroe Township, selected other county subdivisions in the Oskaloosa Area, and entities that contain the Monroe Township
0%50%100%Count#White Oak TownshipWhite OakRichland TownshipRichlandUnion TownshipUnionPleasant Grove TownshipPleasant GrvMadison TownshipMadisonEast Des Moines TownshipE Des MoinesMonroe TownshipMonroeAdams TownshipAdamsPrairie TownshipPrairieBlack Oak TownshipBlack OakIowaOskaloosaOskaloosa Metro AreaOskaloosaMahaska CountyMahaskaWest North Central950100Tract 950100MidwestUnited States of AmericaUnited StatesHarrison TownshipHarrisonSpring Creek TownshipSpg CrkCedar TownshipCedarGarfield TownshipGarfieldJefferson TownshipJeffersonScott TownshipScottLincoln TownshipLincolnWest Des Moines TownshipW Des Moines100.000000%100.000000%100.0%81100.000000%100.000000%100.0%342100.000000%100.000000%100.0%323100.000000%100.000000%100.0%244100.000000%100.000000%100.0%55100.000000%100.000000%100.0%256100.000000%100.000000%100.0%57100.000000%100.000000%100.0%5897.894737%97.894737%97.9%93996.226415%96.226415%96.2%511088.798739%88.798739%88.8%163,950164k88.576159%88.576159%88.6%5351187.658938%87.658938%87.7%1,17287.658938%87.658938%87.7%1,17287.200783%87.200783%87.2%1,108,7101.11M84.722222%84.722222%84.7%18384.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.739837%83.739837%83.7%1031283.571429%83.571429%83.6%1171382.558140%82.558140%82.6%711477.358491%77.358491%77.4%411553.571429%53.571429%53.6%151647.058824%47.058824%47.1%8170.000000%0.000000%0.0%0180.000000%0.000000%0.0%019

Employment Status by County Subdivision in Iowa

There are 1,662 county subdivisions in Iowa. This section compares the Monroe Township to the 50 most populous county subdivisions in Iowa 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 9,112.

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 Monroe Township, selected other county subdivisions in Iowa, and entities that contain the Monroe Township
0%50%100%Count#Monroe TownshipMonroeJefferson TownshipJeffersonPenn TownshipSpencerWalnut TownshipWalnutLake Prairie TownshipLk PrairieFranklin TownshipFranklinBoone TownshipBooneDecorah TownshipDecorahFour Mile TownshipFour MileClay TownshipWebster TownshipWebsterMarion TownshipMarionCrocker TownshipCrockerWaverlyCedar FallsLewis TownshipLewisWalnut TownshipWalnutIowa CityStorm LakeNewton TownshipNewtonPleasant Valley TownshipPleasant VlyGrinnellBloomington TownshipBloomingtonSioux CityDes Moines TownshipDes MoinesWashington TownshipWashingtonMonroe TownshipMonroeIowaOskaloosaOskaloosa Metro AreaOskaloosaMahaska CountyMahaskaIndianolaWest North CentralCedar RapidsCarrollCenter TownshipCtrKnoxville TownshipKnoxvilleDes Moines TownshipDes MoinesClintonMason City950100Tract 950100DubuqueMidwestAmerica TownshipAmericaBloomfield TownshipBloomfieldUnited States of AmericaUnited StatesKeokukWaterlooDavenportLee TownshipTaylor TownshipTaylorKane TownshipBurlingtonTimber Creek TownshipTimber CrkFairfieldMadison TownshipMadisonFort Dodge100.000000%100.000000%100.0%599.602122%99.602122%99.6%751197.901764%97.901764%97.9%2,053297.391304%97.391304%97.4%672397.228333%97.228333%97.2%2,210497.171146%97.171146%97.2%687595.838838%95.838838%95.8%1,451694.734151%94.734151%94.7%1,853794.469027%94.469027%94.5%427894.266667%94.266667%94.3%707994.175492%94.175492%94.2%1,2451093.803828%93.803828%93.8%3,9211193.631910%93.631910%93.6%2,6761293.156357%93.156357%93.2%3,8251392.436975%92.436975%92.4%5501492.394504%92.394504%92.4%1,8831592.379471%92.379471%92.4%5941691.286863%91.286863%91.3%4,0861790.782361%90.782361%90.8%3,1911890.346084%90.346084%90.3%4961990.119760%90.119760%90.1%6022089.701378%89.701378%89.7%2,3432189.573460%89.573460%89.6%3782289.443239%89.443239%89.4%1,2372389.394547%89.394547%89.4%4,4592489.373585%89.373585%89.4%5,9212589.264706%89.264706%89.3%1,2142689.181692%89.181692%89.2%6432788.798739%88.798739%88.8%163,950164k88.576159%88.576159%88.6%5352887.658938%87.658938%87.7%1,17287.658938%87.658938%87.7%1,17287.447109%87.447109%87.4%6202987.200783%87.200783%87.2%1,108,7101.11M86.368701%86.368701%86.4%6,9763086.206897%86.206897%86.2%5003185.471698%85.471698%85.5%1,3593285.441941%85.441941%85.4%4933385.161290%85.161290%85.2%7923484.857143%84.857143%84.9%1,1883584.826684%84.826684%84.8%1,2973684.722222%84.722222%84.7%18384.706291%84.706291%84.7%2,4373784.507990%84.507990%84.5%3,510,6363.51M84.488449%84.488449%84.5%5123883.980044%83.980044%84.0%1,5153983.826751%83.826751%83.8%16,918,49516.9M83.524904%83.524904%83.5%4364083.448446%83.448446%83.4%3,3834183.301466%83.301466%83.3%5,2284279.990131%79.990131%80.0%3,2424379.895561%79.895561%79.9%9184478.816106%78.816106%78.8%2,6234578.658537%78.658537%78.7%1,1614677.906977%77.906977%77.9%4024774.714286%74.714286%74.7%5234869.610390%69.610390%69.6%5364963.253402%63.253402%63.3%97650

Employment Status 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.

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%50%100%Count#Monroe TownshipMonroeOverland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborIowaMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnOskaloosa Metro AreaOskaloosaMahaska CountyMahaskaFargoWest North CentralWorth TownshipWorthCedar RapidsMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichita950100Tract 950100MidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit100.000000%100.000000%100.0%593.627366%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%5,0161288.798739%88.798739%88.8%163,950164k88.756525%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%15,12915.1k1887.658938%87.658938%87.7%1,17287.658938%87.658938%87.7%1,17287.656994%87.656994%87.7%6,0721987.200783%87.200783%87.2%1,108,7101.11M86.546302%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%19,85119.9k2684.722222%84.722222%84.7%18384.507990%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%160,537161k3183.115810%83.115810%83.1%45,27945.3k3282.023792%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 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.

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%50%100%Count#Monroe TownshipMonroePlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteIowaNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensOskaloosa Metro AreaOskaloosaMahaska CountyMahaskaHoustonSan FranciscoSeattleWest North CentralAnaheim-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 AngelesPhoenixWashington950100Tract 950100TampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit100.000000%100.000000%100.0%593.125861%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%53,13553.1k888.798739%88.798739%88.8%163,950164k88.524499%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%143,173143k1287.658938%87.658938%87.7%1,17287.658938%87.658938%87.7%1,17287.620894%87.620894%87.6%208,826209k1387.587463%87.587463%87.6%63,96664.0k1487.270578%87.270578%87.3%70,13570.1k1587.200783%87.200783%87.2%1,108,7101.11M86.940737%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%39,14339.1k2784.722222%84.722222%84.7%18384.549061%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%25,45725.5k3283.264614%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%32,93432.9k3782.260151%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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