Employment Status in the Nansen Township, Richland County, North Dakota (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Richland County and the Nansen Township
Nansen Township
Richland County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.143169%057.142857%66.656620%57.142857%57.1%320.000000%0.000000%0.0%1.921483%042.857143%31.278728%42.857143%42.9%24
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 Richland County and the Nansen Township
Nansen Township
Richland County
60%40%20%0%20%40%60%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-52.173913%-52.173913%-52.173913%52.2%52.173913%8.432148%52.173913%8.432148%60.606061%60.6%1220-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-39.393939%-8.432148%-39.393939%-8.432148%-47.826087%47.8%39.393939%39.393939%39.393939%39.4%1113
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 Nansen 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%37.500000%38%0.000000%62.500000%63%30.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%0.000000%00.000000%100.000000%100%0.000000%0.000000%40.000000%77.777778%78%0.000000%22.222222%22%70.000000%100.000000%100%0.000000%0.000000%140.000000%0.000000%0.000000%0.000000%00.000000%100.000000%100%0.000000%0.000000%40.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%100.000000%100%00%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 Nansen 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%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%100.000%100%100.000%100%60.000%60.0%100.000%100%100.000%100%0.000%0%0.000%0%100.000%100%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%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 Richland County and the Nansen Township
More Females More Males
Richland County
Nansen Township
1,000%500%0%M:FFM45-5435-4425-29-33.333333%-33.333333%33.3%17.386364%0.7500.7543150.000000%17.065868%150.000000%150.0%2.5002.50410-1,000.000000%-1,000.000000%> 1000%11.049724%0.000040
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 Richland County.
Scope: population of Richland County, the Nansen Township, and selected other county subdivisions in Richland Counties
Nansen Township
Richland 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%0.000%0%100.000%100%0.000%0%0.000%0%100.000%100%60.000%60.0%100.000%100%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%
% employed percentage of male population in the Nansen Township

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Richland County.
Scope: population of Richland County, the Nansen Township, and selected other county subdivisions in Richland Counties
Nansen Township
Richland 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%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%100.000%100%100.000%100%0.000%0%100.000%100%0.000%0%0.000%0%0.000%0%
% employed percentage of female population in the Nansen Township

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Richland County and the Nansen Township
Nansen Township
Richland 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 …248.000000%30.371612%48.000000%48.0%120.000000%0.000000%0.0%5.895502%00.000000%0.000000%0.0%1.313216%00.000000%0.000000%0.0%0.223526%012.000000%33.109807%12.000000%12.0%30.000000%0.000000%0.0%9.779268%00.000000%0.000000%0.0%5.392568%040.000000%13.914501%40.000000%40.0%10
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 Richland County and the Nansen Township
Nansen Township
Richland County
0%50%100%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work100.000000%80.339985%100.000000%100.0%120.000000%0.000000%0.0%15.594974%00.000000%0.000000%0.0%3.473762%00.000000%0.000000%0.0%0.591279%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 Richland County and the Nansen Township
Nansen Township
Richland County
0%20%40%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work23.076923%53.234501%23.076923%23.1%30.000000%0.000000%0.0%15.723270%00.000000%0.000000%0.0%8.670261%076.923077%22.371968%76.923077%76.9%10

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 Richland County and the Nansen Township
Nansen Township
Richland County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%90.657822%100.000000%100.0%1190.000000%87.971014%90.000000%90.0%180.000000%0.000000%0.0%84.600939%00.000000%0.000000%0.0%70.000000%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 Richland County and the Nansen Township
Female Male
Richland County
Nansen Township
Shaded bar tips show excess over facing bar.
80%60%40%20%0%20%40%60%%WhiteHispanic1BlackAsianMixedOther-10.526316%-9.473684%-17.973050%-4.647037%-20.000000%20.0%10.526316%17.973050%10.526316%10.5%14.706%14.7%-0.000000%-62.025316%-19.553631%0.000000%0.0%0.000000%0.000000%62.025316%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%36.144578%0.000000%0.0%0.000%0%-0.000000%-0.000000%-23.076923%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-15.533981%0.000000%0.0%0.000000%0.000000%15.533981%18.998394%0.000000%0.0%0.000%0%-0.000000%-31.159420%-13.911002%0.000000%0.0%0.000000%0.000000%31.159420%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 Richland County and the Nansen Township
Female Male
Richland County
Nansen Township
Shaded bar tips show excess over facing bar.
40%30%20%10%0%10%20%%WhiteHispanic1BlackAsianMixedOther-0.000000%-1.528384%0.000000%0.0%0.000000%0.000000%1.528384%0.635214%0.000000%0.0%0.000%0%-0.000000%-29.113924%-11.675550%0.000000%0.0%0.000000%0.000000%29.113924%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%5.035971%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%1.449275%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 Richland County and the Nansen Township
Female Male
Richland County
Nansen Township
Shaded bar tips show excess over facing bar.
0.1%0.0%0.1%0.2%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.152838%0.000000%0.00%0.000000%0.000000%0.152838%0.074909%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%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 Richland County and the Nansen Township
Female Male
Richland County
Nansen Township
Shaded bar tips show excess over facing bar.
50%0%50%100%%WhiteHispanic1BlackAsianMixedOther-80.000000%-77.379913%-80.000000%80.0%80.000000%9.473684%77.379913%4.647037%89.473684%89.5%85.294%85.3%-0.000000%-18.421053%0.000000%0.0%0.000000%0.000000%18.421053%19.553631%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%63.855422%0.000000%0.0%0.000%0%-0.000000%-76.923077%0.000000%0.0%0.000000%0.000000%76.923077%23.076923%0.000000%0.0%0.000%0%-0.000000%-65.467626%-18.998394%0.000000%0.0%0.000000%0.000000%65.467626%0.000000%0.0%0.000%0%-0.000000%-54.929577%0.000000%0.0%0.000000%0.000000%54.929577%13.911002%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Map of Employment Status by Tract in the Nansen 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 (%):
34.72%35.16%35.59%36.02%36.45%36.88%

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 (%):
4.43%4.71%4.99%5.26%5.54%5.82%

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%0.25%0.50%0.74%0.99%1.25%

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%0.035%0.071%0.106%0.142%0.178%

Employed Working-Age Men Employment Status by Tract#20

Percentage of male population aged 35 to 44 years old that are employed
98.69%98.95%99.22%99.48%99.74%100.00%
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Employment Status by County Subdivision in the Wahpeton Area

There are 80 county subdivisions in the Wahpeton Area. This section compares the Nansen Township to the 50 most populous county subdivisions in the Wahpeton Area and to those entities that contain or substantially overlap with the Nansen Township. The least populous of the compared county subdivisions has a population of 82.

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 Nansen Township, selected other county subdivisions in the Wahpeton Area, and entities that contain the Nansen Township
0%50%100%Count#Richland Public School District 44Richland 44Nansen TownshipNansenHankinsonCenter TownshipCtrWyndmereFairmountDwight TownshipDwightColfax TownshipColfaxRothsayBreckenridge TownshipBreckenridgePrairie View TownshipPrairie VwAbercrombie TownshipAbercrombieWalcott TownshipWalcottAbercrombieMooretonBrandenburg TownshipBrandenburgGarborg TownshipGarborgDanton TownshipDantonEagle TownshipEagleHelendale TownshipHelendaleColfaxSummit TownshipSummitAtherton TownshipAthertonChristineGrant TownshipGrantWolverton TownshipWolvertonRoberts TownshipRobertsFoxhomeAkron TownshipAkronWolvertonLaMars TownshipLaMarsLiberty Grove TownshipLiberty GrvBarney TownshipBarneyHomestead TownshipHomesteadAntelope TownshipAntelopeConnelly TownshipConnellyDuerr TownshipDuerrBreckenridgeWahpeton Metro AreaWahpeton AreaRichland CountyRichlandWalcottBrandrup TownshipBrandrupNorth DakotaWest North CentralWahpetonMidwestLidgerwoodUnited States of AmericaUnited StatesCampbellSunnyside TownshipSunnysideGreendale TownshipGreendaleBrightwood TownshipBrightwoodBelford TownshipBelfordFoxhome TownshipFoxhomeBarrie TownshipBarrieDeerhorn TownshipDeerhornMooreton TownshipMooretonFairmount TownshipFairmount100.000000%100.000000%100.0%103100.000000%100.000000%100.0%10100.000000%100.000000%100.0%601100.000000%100.000000%100.0%132100.000000%100.000000%100.0%373100.000000%100.000000%100.0%184100.000000%100.000000%100.0%175100.000000%100.000000%100.0%246100.000000%100.000000%100.0%67100.000000%100.000000%100.0%158100.000000%100.000000%100.0%279100.000000%100.000000%100.0%710100.000000%100.000000%100.0%1611100.000000%100.000000%100.0%2612100.000000%100.000000%100.0%1413100.000000%100.000000%100.0%1714100.000000%100.000000%100.0%1115100.000000%100.000000%100.0%1316100.000000%100.000000%100.0%1517100.000000%100.000000%100.0%718100.000000%100.000000%100.0%1619100.000000%100.000000%100.0%1320100.000000%100.000000%100.0%821100.000000%100.000000%100.0%1522100.000000%100.000000%100.0%1023100.000000%100.000000%100.0%1024100.000000%100.000000%100.0%625100.000000%100.000000%100.0%526100.000000%100.000000%100.0%527100.000000%100.000000%100.0%928100.000000%100.000000%100.0%1229100.000000%100.000000%100.0%430100.000000%100.000000%100.0%1431100.000000%100.000000%100.0%1132100.000000%100.000000%100.0%533100.000000%100.000000%100.0%434100.000000%100.000000%100.0%43597.619048%97.619048%97.6%1643692.983939%92.983939%93.0%1,10092.763938%92.763938%92.8%78292.000000%92.000000%92.0%233791.666667%91.666667%91.7%113890.261180%90.261180%90.3%39,50139.5k87.200783%87.200783%87.2%1,108,7101.11M84.545455%84.545455%84.5%2793984.507990%84.507990%84.5%3,510,6363.51M84.210526%84.210526%84.2%164083.826751%83.826751%83.8%16,918,49516.9M76.923077%76.923077%76.9%104137.500000%37.500000%37.5%3420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
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 North Dakota

There are 1,763 county subdivisions in North Dakota. This section compares the Nansen Township to the 50 most populous county subdivisions in North Dakota and to those entities that contain or substantially overlap with the Nansen Township. The least populous of the compared county subdivisions has a population of 1,474.

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 Nansen Township, selected other county subdivisions in North Dakota, and entities that contain the Nansen Township
0%50%100%Count#Richland Public School District 44Richland 44Nansen TownshipNansenHay Creek TownshipHay CrkBeulahLincolnApple Creek TownshipApple CrkCasseltonCarringtonMandanStanleyLangdonValley CityBowmanWest FargoDickinsonGibbs TownshipGibbsWillistonTatman TownshipTatmanHarveyHarrison TownshipHarrisonLisbonMekinock TownshipMekinockDevils LakeEast MortonBurnt Creek-RiverviewBurnt Crk-RiverviewOakesBottineauWahpeton Metro AreaWahpeton AreaRichland CountyRichlandHillsboroGrand ForksFort BertholdHoraceMandanMinotNorth DakotaBismarckDickinson NorthDickinson NFargoWest North CentralHazenWatford CityLincoln-Fort RiceWahpetonMidwestUnited States of AmericaUnited StatesGraftonWaterford TownshipWaterfordJamestownNew TownMayvilleNedrose TownshipNedroseTurtle MountainTurtle MtnNorth RoletteRugbyNorth SiouxFort YatesFort Totten100.000000%100.000000%100.0%103100.000000%100.000000%100.0%10100.000000%100.000000%100.0%2871100.000000%100.000000%100.0%1582100.000000%100.000000%100.0%3043100.000000%100.000000%100.0%2054100.000000%100.000000%100.0%1755100.000000%100.000000%100.0%856100.000000%100.000000%100.0%81799.061033%99.061033%99.1%211898.863636%98.863636%98.9%87998.784195%98.784195%98.8%3251097.500000%97.500000%97.5%781197.408207%97.408207%97.4%2,2551297.010178%97.010178%97.0%1,5251396.913580%96.913580%96.9%1571496.455696%96.455696%96.5%1,5241596.250000%96.250000%96.3%771696.153846%96.153846%96.2%751796.033994%96.033994%96.0%3391895.652174%95.652174%95.7%1101995.515695%95.515695%95.5%2132095.355191%95.355191%95.4%3492194.736842%94.736842%94.7%1262293.670886%93.670886%93.7%1482393.333333%93.333333%93.3%982493.076923%93.076923%93.1%1212592.983939%92.983939%93.0%1,10092.763938%92.763938%92.8%78292.592593%92.592593%92.6%752692.254293%92.254293%92.3%2,5252792.035398%92.035398%92.0%1042891.732283%91.732283%91.7%2332990.821918%90.821918%90.8%1,3263090.407674%90.407674%90.4%2,6393190.261180%90.261180%90.3%39,50139.5k89.495798%89.495798%89.5%3,6213288.613861%88.613861%88.6%1793387.656994%87.656994%87.7%6,0723487.200783%87.200783%87.2%1,108,7101.11M87.142857%87.142857%87.1%1223587.074830%87.074830%87.1%2563685.823755%85.823755%85.8%2243784.545455%84.545455%84.5%2793884.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.414634%83.414634%83.4%1713982.692308%82.692308%82.7%434079.177057%79.177057%79.2%6354178.481013%78.481013%78.5%1244278.301887%78.301887%78.3%834376.335878%76.335878%76.3%1004469.512195%69.512195%69.5%2284554.954955%54.954955%55.0%1224650.000000%50.000000%50.0%724749.019608%49.019608%49.0%254830.952381%30.952381%31.0%524923.529412%23.529412%23.5%2050
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 Nansen Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Nansen 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 Nansen Township, selected other county subdivisions in the Midwest, and entities that contain the Nansen Township
0%50%100%Count#Richland Public School District 44Richland 44Nansen TownshipNansenOverland ParkOlatheWahpeton Metro AreaWahpeton AreaRichland CountyRichlandWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleNorth DakotaDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMadisonWashington 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%103100.000000%100.000000%100.0%1093.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778292.983939%92.983939%93.0%1,10092.763938%92.763938%92.8%78291.560055%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%6,529990.261180%90.261180%90.3%39,50139.5k90.080764%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%6,0721987.200783%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 Nansen Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Nansen 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 Nansen Township, selected other county subdivisions in the United States, and entities that contain the Nansen Township
0%50%100%Count#Richland Public School District 44Richland 44Nansen TownshipNansenPlanoWahpeton Metro AreaWahpeton AreaSeattle EastRichland CountyRichlandNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseNorth DakotaAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast 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%103100.000000%100.000000%100.0%1093.125861%93.125861%93.1%38,54238.5k192.983939%92.983939%93.0%1,10092.929857%92.929857%92.9%43,27043.3k292.763938%92.763938%92.8%78292.587844%92.587844%92.6%37,54937.5k391.358362%91.358362%91.4%50,22750.2k490.463389%90.463389%90.5%122,150122k590.261180%90.261180%90.3%39,50139.5k90.234987%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%63,96664.0k1487.270578%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:
North Dakota
County:
Richland
Metro Area:
Wahpeton Area
ZIP Codes:
58008, 58018, 58077
Unified School District:
Richland 44
Congressional District:
ND-At Large
State Senate District:
ND-26
State House District:
ND-26
Neighboring Townships:
Abercrombie, Antelope, Colfax, Garborg, Homestead, Ibsen, Viking
Nearby Townships:
Barney, Eagle, Freeman, Walcott