Employment Status in the Wilton Township, Waseca County, Minnesota (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Waseca County and the Wilton Township
Wilton Township
Waseca County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.026387%066.455696%62.833960%66.455696%66.5%2102.531646%3.087275%2.531646%2.5%831.012658%34.052378%31.012658%31.0%98
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 Waseca County and the Wilton Township
Wilton Township
Waseca 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%00-56.944444%-56.944444%-56.944444%56.9%56.944444%17.474160%56.944444%17.474160%74.418605%74.4%82128-1.388889%-1.388889%-1.388889%1.4%1.388889%2.099483%1.388889%2.099483%3.488372%3.5%26-22.093023%-19.573643%-22.093023%-19.573643%-41.666667%41.7%22.093023%22.093023%22.093023%22.1%6038
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 Wilton Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%9.677419%10%0.000000%90.322581%90%30.000000%0.000000%0.000000%100.000000%100%00.000000%42.857143%43%7.142857%7%50.000000%50%120.000000%50.000000%50%0.000000%50.000000%50%40.000000%77.777778%78%0.000000%22.222222%22%70.000000%77.777778%78%0.000000%22.222222%22%210.000000%97.530864%98%0.000000%2.469136%790.000000%81.081081%81%0.000000%18.918919%19%300.000000%69.696970%70%0.000000%30.303030%30%230.000000%100.000000%100%0.000000%0.000000%120.000000%80.000000%80%20.000000%20%0.000000%80.000000%33.333333%33%66.666667%67%0.000000%10.000000%38.461538%38%7.692308%8%53.846154%54%100%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 Wilton Township
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-195.556%5.56%15.385%15.4%0.000%0%0.000%0%33.333%33.3%47.368%47.4%0.000%0%80.000%80.0%100.000%100%66.667%66.7%84.615%84.6%71.429%71.4%97.436%97.4%97.619%97.6%60.000%60.0%95.455%95.5%37.500%37.5%100.000%100%100.000%100%100.000%100%0.000%0%80.000%80.0%100.000%100%0.000%0%31.250%31.3%50.000%50.0%
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 Waseca County and the Wilton Township
More Females More Males
Waseca County
Wilton Township
1,000%500%0%M:FFM75+65-6960-6155-5945-5435-4430-3425-2920-2116-19100.000000%18.918919%100.000000%100.0%2.0002.0012200.000000%110.091743%200.000000%200.0%3.0003.0039-9.574468%33.333333%33.333333%33.3%1.3331.3334-10.000000%-22.527473%-10.000000%10.0%0.9090.9111107.894737%13.127001%7.894737%7.9%1.0791.083841133.333333%6.263982%133.333333%133.3%2.3332.33921183.333333%23.194748%183.333333%183.3%2.8332.8361740.000000%6.581741%40.000000%40.0%1.4001.4057-1,000.000000%-80.172414%-1,000.000000%> 1000%0.0000100.000000%-13.302752%0.000000%0.0%1.0001.0055
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 Waseca County and the Wilton Township
Wilton Township
Waseca 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 …217.525773%33.002662%17.525773%17.5%1718.556701%4.742318%18.556701%18.6%180.000000%0.000000%0.0%0.846842%00.000000%0.000000%0.000000%0.0%031.958763%31.284781%31.958763%32.0%319.278351%7.863537%9.278351%9.3%96.185567%6.460198%6.185567%6.2%616.494845%15.799661%16.494845%16.5%16
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 Waseca County and the Wilton Township
Wilton Township
Waseca County
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work48.571429%85.517241%48.571429%48.6%1751.428571%12.288401%51.428571%51.4%180.000000%0.000000%0.0%2.194357%00.000000%0.000000%0.000000%0.0%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 Waseca County and the Wilton Township
Wilton Township
Waseca County
0%10%20%30%40%50%CountBoth WorkLadies Who LunchGents Who LunchNeither Work50.000000%50.945626%50.000000%50.0%3114.516129%12.805359%14.516129%14.5%99.677419%10.520095%9.677419%9.7%625.806452%25.728920%25.806452%25.8%16

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 Waseca County and the Wilton Township
Wilton Township
Waseca County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma393.939394%89.280397%93.939394%93.9%3182.432432%78.095708%82.432432%82.4%6193.055556%70.711544%93.055556%93.1%6760.714286%62.341772%60.714286%60.7%17
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 Waseca County and the Wilton Township
Female Male
Waseca County
Wilton Township
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%%Hispanic1WhiteBlackAsianMixedOther-0.000000%-47.619048%-45.549738%-1.381670%-47.619048%47.6%0.000000%45.549738%0.000000%0.0%31.250%31.3%-14.516129%-12.228057%-18.856704%-6.543038%-26.744186%26.7%14.516129%18.856704%14.516129%14.5%19.524%19.5%-0.000000%-27.272727%-39.393939%0.000000%0.0%0.000000%0.000000%27.272727%0.000000%0.0%0.000%0%-0.000000%-15.789474%0.000000%0.0%0.000000%0.000000%15.789474%34.210526%0.000000%0.0%0.000%0%-0.000000%-45.864662%0.000000%0.0%0.000000%0.000000%45.864662%1.503759%0.000000%0.0%0.000%0%-0.000000%-30.666667%-47.198946%0.000000%0.0%0.000000%0.000000%30.666667%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 Waseca County and the Wilton Township
Female Male
Waseca County
Wilton Township
Shaded bar tips show excess over facing bar.
0%10%20%30%%WhiteHispanic1BlackAsianMixedOther-2.325581%-3.271457%-2.325581%2.3%2.325581%0.900225%3.271457%0.737750%3.225806%3.2%2.857%2.86%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%37.172775%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%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 Waseca County and the Wilton Township
Female Male
Waseca County
Wilton Township
Shaded bar tips show excess over facing bar.
0.00%0.02%0.04%0.06%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.076731%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 Waseca County and the Wilton Township
Female Male
Waseca County
Wilton Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteHispanic1OtherBlackAsianMixed-73.255814%-74.600257%-73.255814%73.3%73.255814%12.228057%74.600257%6.543038%85.483871%85.5%80.476%80.5%-52.380952%-53.068592%-52.380952%52.4%52.380952%47.619048%53.068592%1.381670%100.000000%100.0%68.750%68.8%-0.000000%-100.000000%-22.134387%-100.000000%100.0%0.000000%22.134387%47.198946%0.000000%0.0%100.000%100%-0.000000%-33.333333%0.000000%0.0%0.000000%0.000000%33.333333%39.393939%0.000000%0.0%0.000%0%-0.000000%-50.000000%-34.210526%0.000000%0.0%0.000000%0.000000%50.000000%0.000000%0.0%0.000%0%-0.000000%-52.631579%-1.503759%0.000000%0.0%0.000000%0.000000%52.631579%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares the Wilton Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Wilton Township. The least populous of the compared county subdivisions has a population of 22,226.

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 Wilton Township, selected other county subdivisions in Minnesota, and entities that contain the Wilton Township
0%20%40%60%80%Count#Maple GroveRosemountChanhassenRamseyMinnetonkaBurnsvilleLakevilleWilton TownshipWiltonAndoverWoodburySavageChaskaEden PrairieWaseca CountyWasecaPlymouthShakopeeBlaineFarmingtonChamplinEaganPrior LakeApple ValleyWhite Bear LakeWhite Bear LkOwatonnaFridleyCrystalBrooklyn CenterBrooklyn CtrInver Grove HeightsInver Grv HtsEdinaMaplewoodBloomingtonShoreviewOakdaleRichfieldCoon RapidsElk RiverCottage GroveSt. Louis ParkSt. Louis PkRosevilleMinnesotaNew BrightonBrooklyn ParkWest North CentralMankatoRochesterMinneapolisMoorheadSt. CloudMidwestSt. PaulUnited States of AmericaUnited StatesDuluthHastingsAustinWinonaFaribault96.479013%96.479013%96.5%4,850196.430474%96.430474%96.4%1,810296.023857%96.023857%96.0%1,449395.924574%95.924574%95.9%1,577495.884774%95.884774%95.9%2,563595.631641%95.631641%95.6%3,240695.455568%95.455568%95.5%4,243795.454545%95.454545%95.5%2195.150915%95.150915%95.2%1,923895.145631%95.145631%95.1%4,606994.981917%94.981917%95.0%2,1011094.419077%94.419077%94.4%1,8611194.335938%94.335938%94.3%3,8641293.411996%93.411996%93.4%95093.324197%93.324197%93.3%4,7671393.319779%93.319779%93.3%3,2131493.207787%93.207787%93.2%4,4051592.913386%92.913386%92.9%2,0061692.828364%92.828364%92.8%1,1521792.746479%92.746479%92.7%3,9511892.634207%92.634207%92.6%1,4841992.573119%92.573119%92.6%2,8172092.044551%92.044551%92.0%1,1572191.548343%91.548343%91.5%1,3542291.320293%91.320293%91.3%1,4942391.229154%91.229154%91.2%1,4772490.859951%90.859951%90.9%1,8492590.696438%90.696438%90.7%1,7062690.399208%90.399208%90.4%2,7402790.174472%90.174472%90.2%1,9642890.105145%90.105145%90.1%4,7992989.929078%89.929078%89.9%1,2683089.469517%89.469517%89.5%1,1303189.370222%89.370222%89.4%2,4553289.211220%89.211220%89.2%3,7213389.067358%89.067358%89.1%1,7193488.983051%88.983051%89.0%2,2053588.862768%88.862768%88.9%3,0243688.826816%88.826816%88.8%1,7493788.794416%88.794416%88.8%301,600302k88.198758%88.198758%88.2%1,1363887.804395%87.804395%87.8%4,4353987.200783%87.200783%87.2%1,108,7101.11M87.124682%87.124682%87.1%1,7124086.429366%86.429366%86.4%6,2164186.339842%86.339842%86.3%24,41024.4k4285.497238%85.497238%85.5%1,8574384.779051%84.779051%84.8%2,5904484.507990%84.507990%84.5%3,510,6363.51M83.979482%83.979482%84.0%15,55315.6k4583.826751%83.826751%83.8%16,918,49516.9M82.776292%82.776292%82.8%3,7154680.957811%80.957811%81.0%1,4204779.741935%79.741935%79.7%1,2364879.398359%79.398359%79.4%8714963.936928%63.936928%63.9%1,25750
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 Wilton Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Wilton 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 Wilton Township, selected other county subdivisions in the Midwest, and entities that contain the Wilton Township
0%20%40%60%80%Count#Wilton TownshipWiltonOverland ParkOlatheWaseca CountyWasecaWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMinnesotaMadisonWashington 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 TownshipCtrDaytonClevelandDetroit95.454545%95.454545%95.5%2193.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778293.411996%93.411996%93.4%95091.560055%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%5,0161288.794416%88.794416%88.8%301,600302k88.756525%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 Wilton Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Wilton 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 Wilton Township, selected other county subdivisions in the United States, and entities that contain the Wilton Township
0%20%40%60%80%Count#Wilton TownshipWiltonWaseca CountyWasecaPlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteMinnesotaNortheast 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 BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit95.454545%95.454545%95.5%2193.411996%93.411996%93.4%95093.125861%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%53,13553.1k888.794416%88.794416%88.8%301,600302k88.524499%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

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State:
Minnesota
County:
Waseca
ZIP Codes:
56072, 56091, 56093
Unified School Districts:
Janesville-Waldorf-Pemberton, NRHEG, Waseca
Congressional District:
MN-1
State Senate District:
MN-23
State House District:
MN-23B
Neighboring Townships:
Alton, Byron, Freedom, New Richland, Otisco, St. Mary, Vivian, Woodville
Nearby Townships:
Freeborn, Iosco, Lemond, Medo