Employment Status in the Custer Township, Mitchell County, Kansas (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Mitchell County and the Custer Township
Custer Township
Mitchell County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.000000%0.0%065.432099%59.125812%65.432099%65.4%530.000000%0.000000%0.0%1.712936%034.567901%39.161252%34.567901%34.6%28

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Mitchell County and the Custer Township
Custer Township
Mitchell 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%00-59.459459%-10.995086%-59.459459%-10.995086%-70.454545%70.5%59.459459%59.459459%59.459459%59.5%3122-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-29.545455%-29.545455%-29.545455%29.5%29.545455%10.995086%29.545455%10.995086%40.540541%40.5%1315

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of the Custer 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%0.000000%0.000000%100.000000%100%00.000000%100.000000%100%0.000000%0.000000%20.000000%58.823529%59%0.000000%41.176471%41%100.000000%66.666667%67%0.000000%33.333333%33%40.000000%100.000000%100%0.000000%0.000000%90.000000%100.000000%100%0.000000%0.000000%110.000000%100.000000%100%0.000000%0.000000%20.000000%0.000000%0.000000%0.000000%00.000000%100.000000%100%0.000000%0.000000%110.000000%0.000000%0.000000%100.000000%100%00.000000%0.000000%0.000000%0.000000%00.000000%66.666667%67%0.000000%33.333333%33%40%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 Custer 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%0.000%0%0.000%0%0.000%0%100.000%100%77.778%77.8%37.500%37.5%0.000%0%66.667%66.7%100.000%100%100.000%100%100.000%100%0.000%0%100.000%100%0.000%0%0.000%0%0.000%0%100.000%100%100.000%100%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 Mitchell County and the Custer Township
More Females More Males
Mitchell County
Custer Township
1,000%500%0%M:FFM62-6455-5945-5435-4425-29-133.333333%-133.333333%133.3%38.271605%0.4290.4373-100.000000%-100.000000%100.0%8.588957%0.5000.5063-1,000.000000%-1,000.000000%> 1000%14.501511%0.0000110-1,000.000000%-1,000.000000%> 1000%13.821138%0.00002020.000000%36.363636%20.000000%20.0%1.2001.2056

Employment among the Married#6

Selected family employment structures as a percentage of all married couple households.
Scope: households in Mitchell County and the Custer Township
Custer Township
Mitchell County
0%10%20%30%40%50%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 …214.285714%28.045326%14.285714%14.3%40.000000%0.000000%0.0%7.082153%00.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.0%0.212465%053.571429%27.337110%53.571429%53.6%153.571429%12.464589%3.571429%3.6%114.285714%7.082153%14.285714%14.3%414.285714%17.776204%14.285714%14.3%4

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 Mitchell County and the Custer Township
Custer Township
Mitchell County
0%50%100%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work100.000000%79.358717%100.000000%100.0%40.000000%0.000000%0.0%20.040080%00.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.0%0.601202%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 Mitchell County and the Custer Township
Custer Township
Mitchell County
0%20%40%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work62.500000%42.278204%62.500000%62.5%154.166667%19.277108%4.166667%4.2%116.666667%10.952903%16.666667%16.7%416.666667%27.491785%16.666667%16.7%4

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 Mitchell County and the Custer Township
Custer Township
Mitchell County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%83.127109%100.000000%100.0%1663.636364%86.592656%63.636364%63.6%1494.444444%80.367232%94.444444%94.4%170.000000%0.000000%0.0%46.987952%0

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 Mitchell County and the Custer Township
Female Male
Mitchell County
Custer Township
Shaded bar tips show excess over facing bar.
100%50%0%50%%WhiteHispanic1BlackAsianMixedOther-11.428571%-17.666126%-10.108319%-11.428571%11.4%11.428571%24.055300%17.666126%35.483871%35.5%22.727%22.7%-0.000000%-40.000000%-21.290323%0.000000%0.0%0.000000%0.000000%40.000000%0.000000%0.0%0.000%0%-0.000000%-66.666667%-33.333333%0.000000%0.0%0.000000%0.000000%66.666667%0.000000%0.0%0.000%0%-0.000000%-0.000000%-70.000000%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%80.000000%0.000000%0.0%0.000%0%-0.000000%-69.230769%-30.769231%0.000000%0.0%0.000000%0.000000%69.230769%0.000000%0.0%0.000%0%

Unemployment by Race#11

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Mitchell County and the Custer Township
Female Male
Mitchell County
Custer Township
Shaded bar tips show excess over facing bar.
0%5%10%15%20%%WhiteHispanic1BlackAsianMixedOther-0.000000%-1.379724%0.000000%0.0%0.000000%0.000000%1.379724%1.105419%0.000000%0.0%0.000%0%-0.000000%-3.225806%0.000000%0.0%0.000000%0.000000%3.225806%19.631336%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%7.692308%0.000000%0.0%0.000%0%

Employment by Race#12

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Mitchell County and the Custer Township
Female Male
Mitchell County
Custer Township
Shaded bar tips show excess over facing bar.
50%0%50%100%%WhiteHispanic1BlackAsianMixedOther-64.516129%-24.055300%-72.225555%-88.571429%88.6%64.516129%72.225555%10.108319%64.516129%64.5%77.273%77.3%-0.000000%-38.709677%0.000000%0.0%0.000000%0.000000%38.709677%21.290323%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%33.333333%0.000000%0.0%0.000%0%-0.000000%-30.000000%0.000000%0.0%0.000000%0.000000%30.000000%70.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%20.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%30.769231%0.000000%0.0%0.000%0%

Employment Status by County Subdivision in Kansas

There are 1,531 county subdivisions in Kansas. This section compares the Custer Township to the 50 most populous county subdivisions in Kansas and to those entities that contain or substantially overlap with the Custer Township. The least populous of the compared county subdivisions has a population of 7,732.

Employed Working-Age Men by County Subdivision#17

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Custer Township, selected other county subdivisions in Kansas, and entities that contain the Custer Township
0%20%40%60%80%Count#ChanuteMitchell CountyMitchellRockford TownshipRockfordSalem TownshipSalemHaysPrairie VillagePrairie VlgLeawoodMadison TownshipMadisonMissionFairmount TownshipFairmountAtchisonMission TownshipMissionOverland ParkBruno TownshipBrunoOlatheLenexaLiberal176700Tract 176700Garden CityShawneeSalinaKechi TownshipKechiSoldier TownshipSoldierTecumseh TownshipTecumsehGardnerLawrenceMerriamJunction CityNewtonEmporiaGreat BendManhattanMcPhersonDodge CityRiverside TownshipRiversideKansasWest North CentralWichitaMidwestKansas CityUnited States of AmericaUnited StatesWellingtonEl DoradoPittsburgArkansas CityCoffeyvilleTopekaOttawaAugustaIndependenceWinfieldFort ScottHutchinsonLeavenworthParsonsLansing176700-1B.G. 176700-1Custer TownshipCuster99.639640%99.639640%99.6%553197.222222%97.222222%97.2%28097.012401%97.012401%97.0%1,721296.659243%96.659243%96.7%434396.333003%96.333003%96.3%972496.290190%96.290190%96.3%1,168596.244856%96.244856%96.2%1,871695.664740%95.664740%95.7%331795.534506%95.534506%95.5%706895.306389%95.306389%95.3%731994.405594%94.405594%94.4%4051094.350282%94.350282%94.4%5011193.627366%93.627366%93.6%10,78410.8k1293.567251%93.567251%93.6%9601393.479924%93.479924%93.5%9,7781492.882448%92.882448%92.9%2,8841592.785105%92.785105%92.8%1,1961692.523364%92.523364%92.5%9992.413342%92.413342%92.4%1,4131792.376426%92.376426%92.4%4,8591892.264808%92.264808%92.3%2,6481992.193309%92.193309%92.2%4962091.800000%91.800000%91.8%9182191.754386%91.754386%91.8%5232290.567067%90.567067%90.6%1,6612390.441474%90.441474%90.4%4,4662490.322581%90.322581%90.3%7842590.295031%90.295031%90.3%1,1632689.126984%89.126984%89.1%1,1232788.840263%88.840263%88.8%1,2182888.759279%88.759279%88.8%8372988.450590%88.450590%88.5%2,1753088.299156%88.299156%88.3%7323187.506910%87.506910%87.5%1,5833287.422935%87.422935%87.4%7093387.287483%87.287483%87.3%152,946153k87.200783%87.200783%87.2%1,108,7101.11M85.168183%85.168183%85.2%19,85119.9k3484.507990%84.507990%84.5%3,510,6363.51M84.492648%84.492648%84.5%8,1023583.826751%83.826751%83.8%16,918,49516.9M83.596838%83.596838%83.6%4233683.465819%83.465819%83.5%5253783.333333%83.333333%83.3%7503881.367292%81.367292%81.4%6073980.705394%80.705394%80.7%3894080.647875%80.647875%80.6%5,7514180.000000%80.000000%80.0%5484277.969349%77.969349%78.0%4074375.802998%75.802998%75.8%3544475.792142%75.792142%75.8%5984575.584416%75.584416%75.6%2914670.657995%70.657995%70.7%1,8474764.899066%64.899066%64.9%2,1544859.334566%59.334566%59.3%3214944.911690%44.911690%44.9%534500.000000%0.000000%0.0%00.000000%0.000000%0.0%0

Employment Status by County Subdivision in the Midwest

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

Employed Working-Age Men by County Subdivision#22

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Custer Township, selected other county subdivisions in the Midwest, and entities that contain the Custer Township
0%20%40%60%80%Count#Mitchell CountyMitchellOverland ParkOlathe176700Tract 176700Wheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoKansasWest North CentralWorth TownshipWorthCedar RapidsMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit176700-1B.G. 176700-1Custer TownshipCuster97.222222%97.222222%97.2%28093.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778292.523364%92.523364%92.5%9991.560055%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%6,0721987.287483%87.287483%87.3%152,946153k87.200783%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%22,22322.2k500.000000%0.000000%0.0%00.000000%0.000000%0.0%0

Employment Status by County Subdivision in the United States

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

Employed Working-Age Men by County Subdivision#27

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Custer Township, selected other county subdivisions in the United States, and entities that contain the Custer Township
0%20%40%60%80%Count#Mitchell CountyMitchellPlanoSeattle EastNortheast TarrantNE Tarrant176700Tract 176700Northwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoKansasSeattleWest 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 BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit176700-1B.G. 176700-1Custer TownshipCuster97.222222%97.222222%97.2%28093.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k392.523364%92.523364%92.5%9991.358362%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%63,96664.0k1487.287483%87.287483%87.3%152,946153k87.270578%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%22,22322.2k500.000000%0.000000%0.0%00.000000%0.000000%0.0%0

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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