Employment Status in the Green Lake Township, Kandiyohi County, Minnesota (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Kandiyohi County and the Green Lake Township
Green Lake Township
Kandiyohi County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.008967%067.203065%64.955017%67.203065%67.2%8770.613027%2.600353%0.613027%0.6%832.183908%32.435664%32.183908%32.2%420
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 Kandiyohi County and the Green Lake Township
Green Lake Township
Kandiyohi 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%00-66.040689%-66.040689%-66.040689%66.0%66.040689%2.277630%66.040689%2.277630%68.318318%68.3%422455-0.000000%-1.251956%-0.000000%-1.251956%-1.251956%1.3%0.000000%0.000000%0.000000%0.0%80-31.681682%-1.025674%-31.681682%-1.025674%-32.707355%32.7%31.681682%31.681682%31.681682%31.7%209211
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 Green Lake Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%15.151515%15%0.000000%84.848485%85%200.000000%17.187500%17%0.000000%82.812500%83%220.000000%34.234234%34%1.801802%63.963964%64%380.000000%54.411765%54%0.000000%45.588235%46%370.000000%77.611940%78%0.000000%22.388060%22%520.000000%84.210526%84%2.255639%13.533835%14%1120.000000%93.333333%93%0.000000%6.666667%7%2520.000000%89.308176%89%1.886792%8.805031%9%1420.000000%100.000000%100%0.000000%0.000000%730.000000%100.000000%100%0.000000%0.000000%340.000000%82.857143%83%0.000000%17.142857%17%290.000000%100.000000%100%0.000000%0.000000%520.000000%32.558140%33%0.000000%67.441860%67%140%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 Green Lake Township
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-195.263%5.26%22.667%22.7%5.085%5.08%27.536%27.5%42.623%42.6%24.000%24.0%52.632%52.6%56.667%56.7%63.636%63.6%84.444%84.4%85.938%85.9%82.609%82.6%90.476%90.5%96.748%96.7%76.389%76.4%100.000%100%100.000%100%100.000%100%100.000%100%100.000%100%100.000%100%66.667%66.7%100.000%100%100.000%100%57.143%57.1%20.690%20.7%
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 Kandiyohi County and the Green Lake Township
More Females More Males
Kandiyohi County
Green Lake Township
200%0%200%400%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19466.666667%51.648352%466.666667%466.7%5.6675.67317533.333333%118.181818%533.333333%533.3%6.3336.33319-116.666667%-116.666667%116.7%43.137255%0.4620.462612-17.647059%-17.647059%17.6%19.469027%0.8500.852017171.428571%18.427518%171.428571%171.4%2.7142.7114383.636364%0.766871%3.636364%3.6%1.0361.045557-11.764706%-11.764706%11.8%5.322004%0.8950.8913311958.181818%20.523256%58.181818%58.2%1.5821.58558780.769231%19.590643%80.769231%80.8%1.8081.812647-42.857143%-42.857143%42.9%29.213483%0.7000.702014-41.666667%-2.989130%-41.666667%41.7%0.7060.711712-320.000000%-320.000000%320.0%0.228833%0.2380.244210-33.333333%-33.333333%33.3%8.000000%0.7500.7586
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 Kandiyohi County.
Scope: population of Kandiyohi County, the Green Lake Township, and selected other county subdivisions in Kandiyohi Counties
Green Lake Township
Kandiyohi County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1922.667%22.7%27.536%27.5%24.000%24.0%56.667%56.7%84.444%84.4%82.609%82.6%96.748%96.7%100.000%100%100.000%100%100.000%100%66.667%66.7%100.000%100%20.690%20.7%
% employed percentage of male population in the Green Lake Township

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Kandiyohi County.
Scope: population of Kandiyohi County, the Green Lake Township, and selected other county subdivisions in Kandiyohi Counties
Green Lake Township
Kandiyohi County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-195.263%5.26%5.085%5.08%42.623%42.6%52.632%52.6%63.636%63.6%85.938%85.9%90.476%90.5%76.389%76.4%100.000%100%100.000%100%100.000%100%100.000%100%57.143%57.1%
% employed percentage of female population in the Green Lake Township

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Kandiyohi County and the Green Lake Township
Green Lake Township
Kandiyohi 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 …223.210832%27.513514%23.210832%23.2%1203.288201%6.172973%3.288201%3.3%170.000000%0.000000%0.0%1.340541%00.000000%0.000000%0.0%0.259459%033.462282%31.524324%33.462282%33.5%1738.704062%8.616216%8.704062%8.7%458.897485%5.989189%8.897485%8.9%4622.437137%18.583784%22.437137%22.4%116
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 Kandiyohi County and the Green Lake Township
Green Lake Township
Kandiyohi County
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work87.591241%77.971814%87.591241%87.6%12012.408759%17.493873%12.408759%12.4%170.000000%0.000000%0.0%3.799020%00.000000%0.000000%0.0%0.735294%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 Kandiyohi County and the Green Lake Township
Green Lake Township
Kandiyohi County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work45.526316%48.713665%45.526316%45.5%17311.842105%13.314400%11.842105%11.8%4512.105263%9.254928%12.105263%12.1%4630.526316%28.717006%30.526316%30.5%116

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 Kandiyohi County and the Green Lake Township
Green Lake Township
Kandiyohi County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.879725%86.580353%84.879725%84.9%24787.941176%83.960310%87.941176%87.9%29993.251534%79.313181%93.251534%93.3%15240.000000%59.450317%40.000000%40.0%4
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 Kandiyohi County and the Green Lake Township
Female Male
Kandiyohi County
Green Lake Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%%WhiteHispanic1BlackAsianMixedOther-14.444444%-1.626984%-17.191174%-3.463433%-16.071429%16.1%14.444444%17.191174%14.444444%14.4%15.256%15.3%-0.000000%-26.871658%-5.800098%0.000000%0.0%0.000000%0.000000%26.871658%0.000000%0.0%0.000%0%-0.000000%-40.661479%-17.085000%0.000000%0.0%0.000000%0.000000%40.661479%0.000000%0.0%0.000%0%-0.000000%-42.718447%0.000000%0.0%0.000000%0.000000%42.718447%19.186315%0.000000%0.0%0.000%0%-0.000000%-17.567568%0.000000%0.0%0.000000%0.000000%17.567568%16.876877%0.000000%0.0%0.000%0%-0.000000%-26.865672%-26.902444%0.000000%0.0%0.000000%0.000000%26.865672%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 Kandiyohi County and the Green Lake Township
Female Male
Kandiyohi County
Green Lake Township
Shaded bar tips show excess over facing bar.
20%10%0%10%%WhiteHispanic1BlackAsianMixedOther-0.000000%-1.339286%-2.079448%-1.339286%1.3%0.000000%2.079448%0.398396%0.000000%0.0%0.668%0.67%-0.000000%-3.664122%0.000000%0.0%0.000000%0.000000%3.664122%11.309140%0.000000%0.0%0.000%0%-0.000000%-0.000000%-24.413146%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%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.555556%0.000000%0.0%0.000%0%-0.000000%-1.616915%-9.977287%0.000000%0.0%0.000000%0.000000%1.616915%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 Kandiyohi County and the Green Lake Township
Female Male
Kandiyohi County
Green Lake Township
Shaded bar tips show excess over facing bar.
0.02%0.01%0.00%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%-0.027975%0.000000%0.000%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%-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#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Kandiyohi County and the Green Lake Township
Female Male
Kandiyohi County
Green Lake Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%Hispanic1WhiteBlackOtherAsianMixed-100.000000%-67.328244%-100.000000%100.0%100.000000%0.000000%67.328244%5.800098%100.000000%100.0%100.000%100%-83.928571%-79.345394%-83.928571%83.9%83.928571%1.626984%79.345394%3.463433%85.555556%85.6%84.744%84.7%-0.000000%-42.253521%0.000000%0.0%0.000000%100.000000%42.253521%17.085000%100.000000%100.0%100.000%100%-0.000000%-100.000000%-46.231884%-100.000000%100.0%0.000000%46.231884%26.902444%0.000000%0.0%100.000%100%-0.000000%-38.095238%-19.186315%0.000000%0.0%0.000000%0.000000%38.095238%0.000000%0.0%0.000%0%-0.000000%-65.555556%-16.876877%0.000000%0.0%0.000000%0.000000%65.555556%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Map of Employment Status by Tract in the Green Lake Township

Both Parents Work Employment Status by Tract#16

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
22.0%23.6%25.2%26.8%28.4%30.0%

Stay at Home Moms Employment Status by Tract#17

Percentage of married families with children under the age of 18 present in which the husband works outside the home and the wife stays at home (%):
4.89%5.24%5.58%5.92%6.26%6.61%

Stay at Home Dads Employment Status by Tract#18

Percentage of married families with children under the age of 18 present in which the wife works outside the home and the husband stays at home (%):
0.00%0.21%0.42%0.64%0.85%1.07%

Neither Parent Works Employment Status by Tract#19

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.000%0.046%0.091%0.137%0.182%0.228%

Employed Working-Age Men Employment Status by Tract#20

Percentage of male population aged 35 to 44 years old that are employed
94.7%95.4%96.1%96.8%97.4%98.2%
Road Data ©OpenStreetMap

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Employment Status by County Subdivision in the Willmar Area

There are 36 county subdivisions in the Willmar Area. This section compares the Green Lake Township to all of the county subdivisions in the Willmar Area and to those entities that contain or substantially overlap with the Green Lake Township.

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 Green Lake Township, selected other county subdivisions in the Willmar Area, and entities that contain the Green Lake Township
0%50%100%Count#Green Lake TownshipGrn LkSpicerKandiyohi TownshipKandiyohiWillmar TownshipWillmarColfax TownshipColfaxHarrison TownshipHarrisonPrinsburgPennockWhitefield TownshipWhitefieldGennessee TownshipGennesseeHolland TownshipHollandSt. Johns TownshipSt. JohnsNorway Lake TownshipNorway LkLake LillianEast Lake Lillian TownshipE Lk LillianLake Lillian TownshipLk LillianLake Elizabeth TownshipLk ElizabethBlomkestSunburgRegalNew LondonDovre TownshipDovreRaymondBurbank TownshipBurbankNew London TownshipNew LondonIrving TownshipIrvingWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiMamre TownshipMamreRoseville TownshipRosevilleArctander TownshipArctanderAtwaterFahlun TownshipFahlunMinnesotaEdwards TownshipEdwardsWillmarWest North CentralMidwestUnited States of AmericaUnited StatesLake Andrew TownshipLk AndrewRoseland TownshipRoselandKandiyohi100.000000%100.000000%100.0%871100.000000%100.000000%100.0%552100.000000%100.000000%100.0%513100.000000%100.000000%100.0%204100.000000%100.000000%100.0%205100.000000%100.000000%100.0%446100.000000%100.000000%100.0%267100.000000%100.000000%100.0%298100.000000%100.000000%100.0%189100.000000%100.000000%100.0%2410100.000000%100.000000%100.0%1611100.000000%100.000000%100.0%1212100.000000%100.000000%100.0%813100.000000%100.000000%100.0%614100.000000%100.000000%100.0%1115100.000000%100.000000%100.0%416100.000000%100.000000%100.0%1217100.000000%100.000000%100.0%918100.000000%100.000000%100.0%419100.000000%100.000000%100.0%92098.360656%98.360656%98.4%602196.938776%96.938776%96.9%952295.833333%95.833333%95.8%232395.744681%95.744681%95.7%452493.793103%93.793103%93.8%1362592.000000%92.000000%92.0%462691.442435%91.442435%91.4%2,07391.442435%91.442435%91.4%2,07391.304348%91.304348%91.3%212790.909091%90.909091%90.9%202890.909091%90.909091%90.9%202990.526316%90.526316%90.5%863089.473684%89.473684%89.5%173188.794416%88.794416%88.8%301,600302k88.235294%88.235294%88.2%153287.716106%87.716106%87.7%9643387.200783%87.200783%87.2%1,108,7101.11M84.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M80.000000%80.000000%80.0%243475.000000%75.000000%75.0%153570.000000%70.000000%70.0%2136
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 36 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 Green Lake Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Green Lake Township. The least populous of the compared county subdivisions has a population of 22,226.

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 Green Lake Township, selected other county subdivisions in Minnesota, and entities that contain the Green Lake Township
0%50%100%Count#Green Lake TownshipGrn LkMaple GroveRosemountChanhassenRamseyMinnetonkaBurnsvilleLakevilleAndoverWoodburySavageChaskaEden PrairiePlymouthShakopeeBlaineFarmingtonChamplinEaganPrior LakeApple ValleyWhite Bear LakeWhite Bear LkOwatonnaWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiFridleyCrystalBrooklyn CenterBrooklyn CtrInver Grove HeightsInver Grv HtsEdinaMaplewoodBloomingtonShoreviewOakdaleRichfieldCoon RapidsElk RiverCottage GroveSt. Louis ParkSt. Louis PkRosevilleMinnesotaNew BrightonBrooklyn ParkWest North CentralMankatoRochesterMinneapolisMoorheadSt. CloudMidwestSt. PaulUnited States of AmericaUnited StatesDuluthHastingsAustinWinonaFaribault100.000000%100.000000%100.0%8796.479013%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%3,8641293.324197%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%1,3542291.442435%91.442435%91.4%2,07391.442435%91.442435%91.4%2,07391.320293%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 Green Lake Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Green Lake Township. The least populous of the compared county subdivisions has a population of 112,821.

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 Green Lake Township, selected other county subdivisions in the Midwest, and entities that contain the Green Lake Township
0%50%100%Count#Green Lake TownshipGrn LkOverland ParkOlatheWheeling TownshipWheelingWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiYork 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 TownshipCtrDaytonClevelandDetroit100.000000%100.000000%100.0%8793.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778291.560055%91.560055%91.6%9,948391.442435%91.442435%91.4%2,07391.442435%91.442435%91.4%2,07391.077773%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 Green Lake Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Green Lake Township. The least populous of the compared county subdivisions has a population of 547,300.

Employed Working-Age Men by County Subdivision#40

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Green Lake Township, selected other county subdivisions in the United States, and entities that contain the Green Lake Township
0%50%100%Count#Green Lake TownshipGrn LkPlanoSeattle EastNortheast TarrantNE TarrantWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiNorthwest 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 BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit100.000000%100.000000%100.0%8793.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k391.442435%91.442435%91.4%2,07391.442435%91.442435%91.4%2,07391.358362%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:
Kandiyohi
Metro Area:
Willmar Area
ZIP Codes:
56201, 56251, 56273, 56288
Unified School Districts:
A.C.G.C., New London-Spicer, Willmar
Congressional District:
MN-7
State Senate District:
MN-17
State House District:
MN-17B
Neighboring Cities:
Spicer, Willmar
Neighboring Townships:
Dovre, Gennessee, Harrison, Irving, Kandiyohi, New London
Nearby Townships:
Burbank, Fahlun, Lake Andrew, Mamre, Swede Grove, Willmar