Employment Status in the Lake Hanska Township, Brown County, Minnesota (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Brown County and the Lake Hanska Township
Lake Hanska Township
Brown County
0%20%40%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.009790%073.839662%66.252203%73.839662%73.8%1751.265823%1.840611%1.265823%1.3%324.894515%31.897396%24.894515%24.9%59
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 Brown County and the Lake Hanska Township
Lake Hanska Township
Brown 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%00-65.789474%-65.789474%-65.789474%65.8%65.789474%15.511339%65.789474%15.511339%81.300813%81.3%75100-0.000000%-0.000000%0.000000%0.0%0.000000%2.439024%0.000000%2.439024%2.439024%2.4%03-16.260163%-17.950364%-16.260163%-17.950364%-34.210526%34.2%16.260163%16.260163%16.260163%16.3%3920
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 Lake Hanska Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%8.695652%9%0.000000%91.304348%91%20.000000%10.000000%10%0.000000%90.000000%90%10.000000%68.421053%68%0.000000%31.578947%32%130.000000%68.750000%69%0.000000%31.250000%31%110.000000%88.888889%89%0.000000%11.111111%11%80.000000%77.777778%78%3.703704%18.518519%19%210.000000%98.245614%98%0.000000%1.754386%560.000000%87.500000%88%0.000000%12.500000%13%210.000000%88.888889%89%0.000000%11.111111%11%80.000000%81.250000%81%0.000000%18.750000%19%130.000000%83.333333%83%16.666667%17%0.000000%100.000000%100.000000%100%0.000000%0.000000%100.000000%20.000000%20%0.000000%80.000000%80%10%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 Lake Hanska 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%22.222%22.2%12.500%12.5%0.000%0%40.000%40.0%78.571%78.6%57.143%57.1%77.778%77.8%50.000%50.0%100.000%100%78.571%78.6%76.923%76.9%96.000%96.0%100.000%100%84.615%84.6%90.909%90.9%66.667%66.7%100.000%100%70.000%70.0%100.000%100%100.000%100%71.429%71.4%100.000%100%100.000%100%50.000%50.0%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 Brown County and the Lake Hanska Township
More Females More Males
Brown County
Lake Hanska Township
1,000%500%0%500%M:FFM70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-1,000.000000%-1,000.000000%> 1000%63.157895%0.000010450.000000%15.075377%450.000000%450.0%5.5005.5021175.000000%29.752066%75.000000%75.0%1.7501.7547600.000000%17.829457%600.000000%600.0%7.0007.0017-10.000000%-2.307692%-10.000000%10.0%0.9090.91111033.333333%7.000000%33.333333%33.3%1.3331.332432-10.000000%-10.000000%10.0%10.284665%0.9090.911110200.000000%8.000000%200.000000%200.0%3.0003.0026-16.666667%-16.666667%16.7%9.677419%0.8570.86760.000000%0.000000%0.0%6.021505%1.0001.0055-50.000000%-50.000000%50.0%6.410256%0.6670.6764-1,000.000000%-1,000.000000%> 1000%5.882353%0.000010
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

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Brown County.
Scope: population of Brown County, the Lake Hanska Township, and selected other county subdivisions in Brown Counties
Lake Hanska Township
Brown County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1922.222%22.2%0.000%0%78.571%78.6%77.778%77.8%100.000%100%76.923%76.9%100.000%100%90.909%90.9%100.000%100%100.000%100%71.429%71.4%100.000%100%0.000%0%
% employed percentage of male population in the Lake Hanska Township

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Brown County.
Scope: population of Brown County, the Lake Hanska Township, and selected other county subdivisions in Brown Counties
Lake Hanska Township
Brown 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%12.500%12.5%40.000%40.0%57.143%57.1%50.000%50.0%78.571%78.6%96.000%96.0%84.615%84.6%66.667%66.7%70.000%70.0%100.000%100%100.000%100%50.000%50.0%
% employed percentage of female population in the Lake Hanska Township

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Brown County and the Lake Hanska Township
Lake Hanska Township
Brown County
0%10%20%30%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 …218.750000%29.382184%18.750000%18.8%153.750000%3.430316%3.750000%3.8%30.000000%0.000000%0.0%0.448994%00.000000%0.000000%0.0%0.107759%048.750000%33.512931%48.750000%48.8%3912.500000%6.950431%12.500000%12.5%105.000000%6.088362%5.000000%5.0%411.250000%20.079023%11.250000%11.3%9
1children under 18 present in the house 2no children under 18 present in the house

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 Brown County and the Lake Hanska Township
Lake Hanska Township
Brown County
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work83.333333%88.051668%83.333333%83.3%1516.666667%10.279871%16.666667%16.7%30.000000%0.000000%0.0%1.345533%00.000000%0.000000%0.0%0.322928%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 Brown County and the Lake Hanska Township
Lake Hanska Township
Brown County
0%20%40%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work62.903226%50.296496%62.903226%62.9%3916.129032%10.431267%16.129032%16.1%106.451613%9.137466%6.451613%6.5%414.516129%30.134771%14.516129%14.5%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 Brown County and the Lake Hanska Township
Lake Hanska Township
Brown County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma393.478261%88.244979%93.478261%93.5%4380.000000%89.133722%80.000000%80.0%4088.709677%82.008266%88.709677%88.7%550.000000%0.000000%0.0%71.135940%0
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#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 Brown County and the Lake Hanska Township
Female Male
Brown County
Lake Hanska Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%80%%MixedWhiteHispanic1BlackAsianOther-0.000000%-34.375000%-6.801471%0.000000%0.0%0.000000%57.142857%34.375000%57.142857%57.1%50.000%50.0%-7.692308%-10.164835%-14.432850%-3.415767%-17.857143%17.9%7.692308%14.432850%7.692308%7.7%12.571%12.6%-0.000000%-26.424870%0.000000%0.0%0.000000%0.000000%26.424870%9.253521%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%91.176471%0.000000%0.0%0.000%0%-0.000000%-30.666667%0.000000%0.0%0.000000%0.000000%30.666667%1.151515%0.000000%0.0%0.000%0%-0.000000%-21.000000%-22.925234%0.000000%0.0%0.000000%0.000000%21.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Brown County and the Lake Hanska Township
Female Male
Brown County
Lake Hanska Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%%MixedWhiteHispanic1BlackAsianOther-0.000000%-0.000000%0.000000%0.0%0.000000%28.571429%0.000000%3.125000%28.571429%28.6%25.000%25.0%-0.000000%-1.980059%0.000000%0.0%0.000000%1.098901%1.980059%0.134049%1.098901%1.1%0.571%0.57%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%12.562814%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%-5.333333%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-4.000000%-30.579439%0.000000%0.0%0.000000%0.000000%4.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

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 Brown County and the Lake Hanska Township
Female Male
Brown County
Lake Hanska Township
Shaded bar tips show excess over facing bar.
0.000%0.005%0.010%0.015%0.020%0.025%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.0000%0.000000%0.000000%0.000000%0.027104%0.000000%0.0000%0.000%0%-0.000000%-0.000000%0.000000%0.0000%0.000000%0.000000%0.000000%0.000000%0.000000%0.0000%0.000%0%-0.000000%-0.000000%0.000000%0.0000%0.000000%0.000000%0.000000%0.000000%0.000000%0.0000%0.000%0%-0.000000%-0.000000%0.000000%0.0000%0.000000%0.000000%0.000000%0.000000%0.000000%0.0000%0.000%0%-0.000000%-0.000000%0.000000%0.0000%0.000000%0.000000%0.000000%0.000000%0.000000%0.0000%0.000%0%-0.000000%-0.000000%0.000000%0.0000%0.000000%0.000000%0.000000%0.000000%0.000000%0.0000%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Brown County and the Lake Hanska Township
Female Male
Brown County
Lake Hanska Township
Shaded bar tips show excess over facing bar.
100%50%0%50%%WhiteMixedAsianHispanic1BlackOther-82.142857%-82.151383%-82.142857%82.1%82.142857%10.164835%82.151383%3.415767%92.307692%92.3%87.429%87.4%-42.857143%-57.142857%-58.823529%-100.000000%100.0%42.857143%58.823529%6.801471%42.857143%42.9%50.000%50.0%-0.000000%-100.000000%-68.181818%-1.151515%-100.000000%100.0%0.000000%68.181818%0.000000%0.0%100.000%100%-0.000000%-64.321608%-9.253521%0.000000%0.0%0.000000%0.000000%64.321608%0.000000%0.0%0.000%0%-0.000000%-8.823529%-91.176471%0.000000%0.0%0.000000%0.000000%8.823529%0.000000%0.0%0.000%0%-0.000000%-56.074766%0.000000%0.0%0.000000%0.000000%56.074766%22.925234%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in the New Ulm Area

There are 23 county subdivisions in the New Ulm Area. This section compares the Lake Hanska Township to all of the county subdivisions in the New Ulm Area and to those entities that contain or substantially overlap with the Lake Hanska 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 Lake Hanska Township, selected other county subdivisions in the New Ulm Area, and entities that contain the Lake Hanska Township
0%50%100%Count#Cottonwood TownshipCottonwoodMilford TownshipMilfordSigel TownshipSigelAlbin TownshipAlbinLeavenworth TownshipLeavenworthBashaw TownshipBashawEden TownshipBurnstown TownshipBurnstownPrairieville TownshipPrairievilleStately TownshipStatelyMulligan TownshipMulliganEvanSleepy Eye960700Tract 960700HanskaNorth Star TownshipN StarLinden TownshipLindenStark TownshipStarkSpringfieldNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownHome TownshipNew UlmLake Hanska TownshipLk HanskaMinnesotaWest North CentralMidwestUnited States of AmericaUnited StatesComfreyCobden100.000000%100.000000%100.0%401100.000000%100.000000%100.0%342100.000000%100.000000%100.0%243100.000000%100.000000%100.0%224100.000000%100.000000%100.0%185100.000000%100.000000%100.0%196100.000000%100.000000%100.0%147100.000000%100.000000%100.0%48100.000000%100.000000%100.0%99100.000000%100.000000%100.0%1010100.000000%100.000000%100.0%1011100.000000%100.000000%100.0%11298.255814%98.255814%98.3%1691396.984925%96.984925%97.0%19396.000000%96.000000%96.0%241496.000000%96.000000%96.0%241595.238095%95.238095%95.2%201695.000000%95.000000%95.0%191794.805195%94.805195%94.8%731894.196078%94.196078%94.2%1,20194.196078%94.196078%94.2%1,20193.750000%93.750000%93.8%301991.833590%91.833590%91.8%5962090.909091%90.909091%90.9%102188.794416%88.794416%88.8%301,600302k87.200783%87.200783%87.2%1,108,7101.11M84.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M81.578947%81.578947%81.6%31220.000000%0.000000%0.0%023
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 23 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in Minnesota

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

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 Lake Hanska Township, selected other county subdivisions in Minnesota, and entities that contain the Lake Hanska Township
0%20%40%60%80%Count#960700Tract 960700Maple GroveRosemountChanhassenRamseyMinnetonkaBurnsvilleLakevilleAndoverWoodburySavageChaskaEden PrairieNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownPlymouthShakopeeBlaineFarmingtonChamplinEaganPrior LakeApple ValleyWhite Bear LakeWhite Bear LkOwatonnaFridleyCrystalLake Hanska TownshipLk HanskaBrooklyn CenterBrooklyn CtrInver Grove HeightsInver Grv HtsEdinaMaplewoodBloomingtonShoreviewOakdaleRichfieldCoon RapidsElk RiverCottage GroveSt. Louis ParkSt. Louis PkRosevilleMinnesotaNew BrightonBrooklyn ParkWest North CentralMankatoRochesterMinneapolisMoorheadSt. CloudMidwestSt. PaulUnited States of AmericaUnited StatesDuluthHastingsAustinWinonaFaribault96.984925%96.984925%97.0%19396.479013%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%4,243795.150915%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%3,8641294.196078%94.196078%94.2%1,20194.196078%94.196078%94.2%1,20193.324197%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%1,4772490.909091%90.909091%90.9%1090.859951%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 Lake Hanska Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Lake Hanska 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 Lake Hanska Township, selected other county subdivisions in the Midwest, and entities that contain the Lake Hanska Township
0%20%40%60%80%Count#960700Tract 960700New Ulm Metro AreaNew Ulm AreaBrown CountyBrownOverland ParkOlatheWheeling TownshipWheelingYork TownshipLake Hanska TownshipLk HanskaSchaumburg 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 TownshipCtrDaytonClevelandDetroit96.984925%96.984925%97.0%19394.196078%94.196078%94.2%1,20194.196078%94.196078%94.2%1,20193.627366%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%6,921490.909091%90.909091%90.9%1090.865545%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 Lake Hanska Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Lake Hanska 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 Lake Hanska Township, selected other county subdivisions in the United States, and entities that contain the Lake Hanska Township
0%20%40%60%80%Count#960700Tract 960700New Ulm Metro AreaNew Ulm AreaBrown CountyBrownPlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisLake Hanska TownshipLk HanskaSan 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 BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit96.984925%96.984925%97.0%19394.196078%94.196078%94.2%1,20194.196078%94.196078%94.2%1,20193.125861%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%50,22750.2k490.909091%90.909091%90.9%1090.463389%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:
Brown
Metro Area:
New Ulm Area
ZIP Codes:
56041, 56073
Unified School Districts:
Madelia, New Ulm, St. James
Congressional District:
MN-1
State Senate District:
MN-16
State House District:
MN-16B
Neighboring Cities:
Hanska
Neighboring Townships:
Albin, Cottonwood, Linden, Madelia, Nelson, Riverdale, Sigel
Nearby Townships:
Butternut Valley, Cambria, Milford, Mulligan, Stark