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

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Butler County and the Monroe Township
Monroe Township
Butler County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.092905%061.422594%63.361486%61.422594%61.4%7340.669456%2.069257%0.669456%0.7%837.907950%34.476351%37.907950%37.9%453
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 Butler County and the Monroe Township
Monroe Township
Butler 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%00-55.484897%-55.484897%-55.484897%55.5%55.484897%12.536305%55.484897%12.536305%68.021201%68.0%349385-0.176678%-0.936199%-0.176678%-0.936199%-1.112878%1.1%0.176678%0.176678%0.176678%0.2%71-31.802120%-11.600106%-31.802120%-11.600106%-43.402226%43.4%31.802120%31.802120%31.802120%31.8%273180
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 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%2.027027%0.000000%97.972973%98%30.000000%17.441860%17%0.000000%82.558140%83%150.000000%31.958763%32%0.000000%68.041237%68%310.000000%34.848485%35%0.000000%65.151515%65%230.000000%79.545455%80%0.000000%20.454545%20%350.000000%73.863636%74%3.409091%22.727273%23%650.000000%86.473430%86%0.483092%13.043478%13%1790.000000%91.082803%91%0.000000%8.917197%9%1430.000000%89.285714%89%4.761905%5.952381%750.000000%85.333333%85%0.000000%14.666667%15%640.000000%100.000000%100%0.000000%0.000000%380.000000%100.000000%100%0.000000%0.000000%550.000000%16.000000%16%0.000000%84.000000%84%80%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 Monroe Township
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-192.913%2.91%0.000%0%12.766%12.8%23.077%23.1%40.741%40.7%20.930%20.9%21.212%21.2%48.485%48.5%80.952%81.0%78.261%78.3%65.854%65.9%80.851%80.9%82.474%82.5%90.000%90.0%90.476%90.5%91.781%91.8%79.070%79.1%100.000%100%78.788%78.8%90.476%90.5%100.000%100%100.000%100%100.000%100%100.000%100%26.667%26.7%0.000%0%
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 Butler County and the Monroe Township
More Females More Males
Butler County
Monroe Township
1,000%500%0%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-1,000.000000%-85.714286%-1,000.000000%> 1000%0.00003050.000000%18.518519%50.000000%50.0%1.5001.5069-144.444444%-144.444444%144.4%25.000000%0.4090.41229128.571429%45.695364%128.571429%128.6%2.2862.29716-2.409639%5.882353%5.882353%5.9%1.0591.06171840.740741%9.793814%40.740741%40.7%1.4071.412738-0.715137%23.750000%23.750000%23.8%1.2381.248099-13.432836%-13.432836%13.4%9.604520%0.8820.88766720.588235%16.406250%20.588235%20.6%1.2061.21344146.153846%33.458647%46.153846%46.2%1.4621.462638145.454545%0.574713%145.454545%145.5%2.4552.451127-39.130435%-39.130435%39.1%29.032258%0.7190.723223-1,000.000000%-1,000.000000%> 1000%18.461538%0.000080
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

Employment among the Married#6

Selected family employment structures as a percentage of all married couple households.
Scope: households in Butler County and the Monroe Township
Monroe Township
Butler 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 …229.066667%29.938846%29.066667%29.1%1095.333333%3.137463%5.333333%5.3%203.733333%1.302845%3.733333%3.7%140.000000%0.000000%0.0%0.106355%030.933333%29.008242%30.933333%30.9%1163.466667%9.890986%3.466667%3.5%134.533333%7.524595%4.533333%4.5%1722.933333%19.090667%22.933333%22.9%86
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#7

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Butler County and the Monroe Township
Monroe Township
Butler County
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work76.223776%86.815729%76.223776%76.2%10913.986014%9.097918%13.986014%14.0%209.790210%3.777949%9.790210%9.8%140.000000%0.000000%0.0%0.308404%0

Employment among the Married Without Children#8

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Butler County and the Monroe Township
Monroe Township
Butler County
0%10%20%30%40%50%CountBoth WorkLadies Who LunchGents Who LunchNeither Work50.000000%44.277597%50.000000%50.0%1165.603448%15.097403%5.603448%5.6%137.327586%11.485390%7.327586%7.3%1737.068966%29.139610%37.068966%37.1%86

Employment by Educational Attainment#9

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Butler County and the Monroe Township
Monroe Township
Butler County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.746988%87.204142%86.746988%86.7%14487.583893%87.061184%87.583893%87.6%26173.557692%80.581040%73.557692%73.6%15353.061224%65.274151%53.061224%53.1%26
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#10

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 Butler County and the Monroe Township
Female Male
Butler County
Monroe Township
Shaded bar tips show excess over facing bar.
50%0%50%100%%WhiteHispanic1BlackAsianMixedOther-16.589862%-8.586609%-17.630465%-3.760167%-25.176471%25.2%16.589862%17.630465%16.589862%16.6%20.838%20.8%-0.000000%-11.666667%-1.376812%0.000000%0.0%0.000000%0.000000%11.666667%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%36.000000%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%-80.000000%0.000000%0.0%0.000000%0.000000%80.000000%20.000000%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%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#11

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Butler County and the Monroe Township
Female Male
Butler County
Monroe Township
Shaded bar tips show excess over facing bar.
40%30%20%10%0%10%%WhiteHispanic1BlackAsianMixedOther-0.230415%-1.416644%-2.221149%-1.647059%1.6%0.230415%2.221149%0.670247%0.230415%0.2%0.931%0.93%-0.000000%-11.666667%-1.376812%0.000000%0.0%0.000000%0.000000%11.666667%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%-48.000000%0.000000%0.0%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%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#12

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Butler County and the Monroe Township
Female Male
Butler County
Monroe Township
Shaded bar tips show excess over facing bar.
0.00%0.05%0.10%0.15%0.20%0.25%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.258580%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#13

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Butler County and the Monroe Township
Female Male
Butler County
Monroe Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteHispanic1BlackAsianMixedOther-74.823529%-78.609367%-74.823529%74.8%74.823529%8.586609%78.609367%3.760167%83.410138%83.4%79.162%79.2%-0.000000%-86.956522%0.000000%0.0%0.000000%100.000000%86.956522%1.376812%100.000000%100.0%100.000%100%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%64.000000%0.000000%0.0%0.000%0%-0.000000%-100.000000%0.000000%0.0%0.000000%0.000000%100.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%-20.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-100.000000%0.000000%0.0%0.000000%0.000000%100.000000%0.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

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#18

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%20%40%60%80%Count#Jefferson TownshipJeffersonPenn TownshipSpencerWalnut TownshipWalnutLake Prairie TownshipLk PrairieFranklin TownshipFranklinBoone TownshipBooneDecorah TownshipDecorahFour Mile TownshipFour MileClay TownshipWebster TownshipWebsterMarion TownshipMarionCrocker TownshipCrockerWaverlyCedar FallsLewis TownshipLewisButler CountyButlerMonroe TownshipMonroeAplington-Parkersburg Community School DistrictAplington-Parkers…Walnut TownshipWalnut070400Tract 070400Iowa CityStorm LakeNewton TownshipNewtonPleasant Valley TownshipPleasant VlyGrinnellBloomington TownshipBloomingtonSioux CityDes Moines TownshipDes MoinesWashington TownshipWashingtonMonroe TownshipMonroeIowaOskaloosaIndianolaWest North CentralCedar RapidsCarrollCenter TownshipCtrKnoxville TownshipKnoxvilleDes Moines TownshipDes MoinesClintonMason CityDubuqueMidwestAmerica TownshipAmericaBloomfield TownshipBloomfieldUnited States of AmericaUnited StatesKeokukWaterlooDavenportLee TownshipTaylor TownshipTaylorKane TownshipBurlingtonTimber Creek TownshipTimber CrkFairfieldMadison TownshipMadisonFort Dodge99.602122%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%5941691.943128%91.943128%91.9%77691.780822%91.780822%91.8%6791.379310%91.379310%91.4%21291.286863%91.286863%91.3%4,0861790.867580%90.867580%90.9%19990.782361%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%5352887.447109%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%1,2973684.706291%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
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 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#23

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%20%40%60%80%Count#Overland ParkOlatheButler CountyButlerMonroe TownshipMonroeWheeling TownshipWheelingAplington-Parkersburg Community School DistrictAplington-Parkers…York Township070400Tract 070400Schaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborIowaMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWest North CentralWorth TownshipWorthCedar RapidsMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit93.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778291.943128%91.943128%91.9%77691.780822%91.780822%91.8%6791.560055%91.560055%91.6%9,948391.379310%91.379310%91.4%21291.077773%91.077773%91.1%6,921490.867580%90.867580%90.9%19990.865545%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%15,12915.1k1887.656994%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%19,85119.9k2684.507990%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
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 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#28

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%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantButler CountyButlerMonroe TownshipMonroeAplington-Parkersburg Community School DistrictAplington-Parkers…Northwest HarrisNW Harris070400Tract 070400San JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteIowaNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan 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 AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiTucsonAtlantaSan 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%37,54937.5k391.943128%91.943128%91.9%77691.780822%91.780822%91.8%6791.379310%91.379310%91.4%21291.358362%91.358362%91.4%50,22750.2k490.867580%90.867580%90.9%19990.463389%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%143,173143k1287.620894%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%39,14339.1k2784.549061%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
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

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:
Iowa
County:
Butler
Cities:
Aplington, Parkersburg
ZIP Codes:
50604, 50665
Unified School District:
Aplington-Parkersburg
Congressional District:
IA-4
State Senate District:
IA-25
State House District:
IA-50
Neighboring Townships:
Albion, Beaver, German, Jefferson, Madison, Pleasant Valley, Ripley, Washington
Nearby Townships:
Beaver, Colfax, Etna, Fairfield, Geneva, Jackson, Osceola, Shell Rock, Shiloh, West Point