Employment Status in Denmark, Brown County, Wisconsin (Village)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Brown County and Denmark
Denmark
Brown County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.029853%068.907035%65.788007%68.907035%68.9%1,0972.701005%3.704699%2.701005%2.7%4328.391960%30.477441%28.391960%28.4%452

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Brown County and Denmark
Denmark
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%00-66.977830%-66.977830%-66.977830%67.0%66.977830%4.178633%66.977830%4.178633%71.156463%71.2%574523-1.360544%-2.490098%-1.360544%-2.490098%-3.850642%3.9%1.360544%1.360544%1.360544%1.4%3310-27.482993%-1.688535%-27.482993%-1.688535%-29.171529%29.2%27.482993%27.482993%27.482993%27.5%250202

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of Denmark
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%51.388889%51%0.000000%48.611111%49%370.000000%7.619048%8%0.000000%92.380952%92%80.000000%58.620690%59%0.000000%41.379310%41%510.000000%71.428571%71%0.000000%28.571429%29%350.000000%90.643275%91%0.000000%9.356725%9%1550.000000%86.206897%86%7.758621%8%6.034483%2000.000000%94.531250%95%1.562500%3.906250%2420.000000%89.024390%89%3.048780%7.926829%8%1460.000000%81.617647%82%0.000000%18.382353%18%1110.000000%69.863014%70%21.917808%22%8.219178%8%510.000000%47.619048%48%0.000000%52.380952%52%100.000000%52.040816%52%0.000000%47.959184%48%510%20%40%60%80%100%Count

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of Denmark
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%28.125%28.1%70.000%70.0%6.250%6.25%9.756%9.76%84.615%84.6%37.500%37.5%62.162%62.2%100.000%100%89.796%89.8%91.781%91.8%81.818%81.8%89.474%89.5%96.774%96.8%92.424%92.4%84.884%84.9%93.590%93.6%73.958%74.0%100.000%100%58.974%59.0%82.353%82.4%50.000%50.0%44.444%44.4%62.319%62.3%27.586%27.6%

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Brown County and Denmark
More Females More Males
Brown County
Denmark
400%200%0%200%M:FFM70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19211.111111%15.251572%211.111111%211.1%3.1113.119280.000000%-22.787318%0.000000%0.0%1.0001.0044-83.333333%-0.340798%-83.333333%83.3%0.5450.553318-91.666667%-91.666667%91.7%10.036213%0.5220.522312-31.343284%-31.343284%31.3%11.147695%0.7610.76886746.913580%7.081749%46.913580%46.9%1.4691.47811191.666667%12.071054%1.666667%1.7%1.0171.021201220.000000%0.000000%0.0%13.071139%1.0001.007373-77.500000%-77.500000%77.5%14.910835%0.5630.567140-0.149365%21.739130%21.739130%21.7%1.2171.222328-50.000000%-13.789995%-50.000000%50.0%0.6670.6764-437.500000%-5.393258%-437.500000%437.5%0.1860.19438

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, Denmark, and selected other county subdivisions in Brown Counties
Denmark
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%70.000%70.0%9.756%9.76%37.500%37.5%100.000%100%91.781%91.8%89.474%89.5%92.424%92.4%93.590%93.6%100.000%100%82.353%82.4%44.444%44.4%27.586%27.6%

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, Denmark, and selected other county subdivisions in Brown Counties
Denmark
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%28.125%28.1%6.250%6.25%84.615%84.6%62.162%62.2%89.796%89.8%81.818%81.8%96.774%96.8%84.884%84.9%73.958%74.0%58.974%59.0%50.000%50.0%62.319%62.3%

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Brown County and Denmark
Denmark
Brown 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 …235.699374%32.534124%35.699374%35.7%1711.670146%7.377930%1.670146%1.7%82.087683%1.490310%2.087683%2.1%100.835073%0.447690%0.835073%0.8%438.830898%28.978471%38.830898%38.8%1862.087683%8.044490%2.087683%2.1%105.219207%5.304628%5.219207%5.2%2513.569937%15.822357%13.569937%13.6%65

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 Denmark
Denmark
Brown County
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work88.601036%77.739742%88.601036%88.6%1714.145078%17.629439%4.145078%4.1%85.181347%3.561071%5.181347%5.2%102.072539%1.069748%2.072539%2.1%4

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 Denmark
Denmark
Brown County
0%20%40%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work65.034965%49.834046%65.034965%65.0%1863.496503%13.834046%3.496503%3.5%108.741259%9.122327%8.741259%8.7%2522.727273%27.209581%22.727273%22.7%65

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 Denmark
Denmark
Brown County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.310078%87.434313%90.310078%90.3%23388.571429%81.330412%88.571429%88.6%27982.675439%73.234681%82.675439%82.7%37777.272727%55.352798%77.272727%77.3%51

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 Denmark
Female Male
Brown County
Denmark
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%%OtherWhiteHispanic1BlackAsianMixed-0.000000%-75.000000%-25.300224%-20.807023%-75.000000%75.0%0.000000%25.300224%0.000000%0.0%75.000%75.0%-17.229130%-1.873620%-20.169818%-4.084799%-19.102750%19.1%17.229130%20.169818%17.229130%17.2%18.262%18.3%-0.000000%-22.581744%-13.751087%0.000000%0.0%0.000000%0.000000%22.581744%0.000000%0.0%0.000%0%-0.000000%-50.124533%0.000000%0.0%0.000000%0.000000%50.124533%6.591885%0.000000%0.0%0.000%0%-0.000000%-20.782299%-12.806364%0.000000%0.0%0.000000%0.000000%20.782299%0.000000%0.0%0.000%0%-0.000000%-33.488064%0.000000%0.0%0.000000%0.000000%33.488064%1.381106%0.000000%0.0%0.000%0%

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 Denmark
Female Male
Brown County
Denmark
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%%WhiteHispanic1BlackAsianMixedOther-1.776199%-2.999488%-3.648359%-4.775687%4.8%1.776199%3.648359%0.388766%1.776199%1.8%3.429%3.43%-0.000000%-3.915663%0.000000%0.0%0.000000%0.000000%3.915663%0.648370%0.000000%0.0%0.000%0%-0.000000%-11.940299%-7.050984%0.000000%0.0%0.000000%0.000000%11.940299%0.000000%0.0%0.000%0%-0.000000%-2.765705%-3.094119%0.000000%0.0%0.000000%0.000000%2.765705%0.000000%0.0%0.000%0%-0.000000%-7.493369%0.000000%0.0%0.000000%0.000000%7.493369%5.475915%0.000000%0.0%0.000%0%-0.000000%-5.414207%-1.159721%0.000000%0.0%0.000000%0.000000%5.414207%0.000000%0.0%0.000%0%

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 Denmark
Female Male
Brown County
Denmark
Shaded bar tips show excess over facing bar.
0.0%0.1%0.2%0.3%0.4%0.5%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.047411%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.579019%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%0.395101%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%

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 Denmark
Female Male
Brown County
Denmark
Shaded bar tips show excess over facing bar.
50%0%50%100%%WhiteHispanic1BlackOtherAsianMixed-80.897250%-75.745383%-80.897250%80.9%80.897250%1.873620%75.745383%4.084799%82.770870%82.8%81.738%81.7%-0.000000%-63.667169%0.000000%0.0%0.000000%100.000000%63.667169%13.751087%100.000000%100.0%100.000%100%-0.000000%-43.283582%-6.591885%0.000000%0.0%0.000000%100.000000%43.283582%100.000000%100.0%100.000%100%-0.000000%-25.000000%-53.892753%-25.000000%25.0%0.000000%53.892753%20.807023%0.000000%0.0%25.000%25.0%-0.000000%-66.411337%0.000000%0.0%0.000000%0.000000%66.411337%12.806364%0.000000%0.0%0.000%0%-0.000000%-65.130830%-1.381106%0.000000%0.0%0.000000%0.000000%65.130830%0.000000%0.0%0.000%0%

Employment Status by County Subdivision in the Green Bay Area

There are 69 county subdivisions in the Green Bay Area. This section compares Denmark to the 50 most populous county subdivisions in the Green Bay Area and to those entities that contain or substantially overlap with Denmark. The least populous of the compared county subdivisions has a population of 914.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Denmark, selected other county subdivisions in the Green Bay Area, and entities that contain Denmark
0%50%100%Count#PulaskiOconto FallsTown of WrightstownWrightstownTown of New DenmarkNew DenmarkTown of West KewauneeW KewauneeTown of Red RiverRed RivTown of LuxemburgLuxemburgTown of Oconto FallsOconto FallsTown of MontpelierMontpelierTown of EatonTown of MorrisonMorrison020600Tract 020600Town of CarltonCarltonSuamicoTown of PensaukeePensaukeeKewauneeTown of LawrenceLawrenceTown of LedgeviewLedgeviewTown of PittsfieldPittsfieldTown of CascoLuxemburgDenmark School DistrictDenmarkHowardHobartDe PereDenmarkDenmarkZIP Code 54208ZIP 54208GillettTown of OcontoOcontoTown of HumboldtHumboldtTown of Green BayGrn BayWrightstownTown of FranklinFranklinTown of StilesStilesTown of Little SuamicoLittle SuamicoTown of ChaseTown of LincolnLincolnTown of BrazeauBrazeauTown of AbramsAbramsTown of RocklandRocklandWisconsinTown of Little RiverLittle RivGreen Bay Metro AreaGreen BayBellevueBrown CountyBrownMidwestUnited States of AmericaUnited StatesEast North CentralTown of MorganMorganTown of ScottTown of HollandHollandGreen BayOcontoTown of GlenmoreGlenmoreAshwaubenonTown of GillettGillettAllouezAlgomaTown of RiverviewRiverview100.000000%100.000000%100.0%2751100.000000%100.000000%100.0%2442100.000000%100.000000%100.0%1753100.000000%100.000000%100.0%984100.000000%100.000000%100.0%675100.000000%100.000000%100.0%786100.000000%100.000000%100.0%557100.000000%100.000000%100.0%728100.000000%100.000000%100.0%75997.500000%97.500000%97.5%1171097.142857%97.142857%97.1%1021196.285714%96.285714%96.3%33795.238095%95.238095%95.2%601295.089820%95.089820%95.1%7941394.520548%94.520548%94.5%691494.444444%94.444444%94.4%2381594.339623%94.339623%94.3%4001694.238683%94.238683%94.2%4581793.710692%93.710692%93.7%1491893.650794%93.650794%93.7%591993.564356%93.564356%93.6%1892093.490054%93.490054%93.5%51793.065998%93.065998%93.1%1,1142192.976589%92.976589%93.0%5562292.941999%92.941999%92.9%1,3302392.424242%92.424242%92.4%12292.424242%92.424242%92.4%1222492.180095%92.180095%92.2%38991.935484%91.935484%91.9%572591.836735%91.836735%91.8%902691.752577%91.752577%91.8%892791.735537%91.735537%91.7%1112891.416309%91.416309%91.4%2132991.071429%91.071429%91.1%513089.855072%89.855072%89.9%623189.310345%89.310345%89.3%2593289.256198%89.256198%89.3%2163389.062500%89.062500%89.1%573488.888889%88.888889%88.9%643588.372093%88.372093%88.4%1143686.231884%86.231884%86.2%1193786.186197%86.186197%86.2%301,656302k85.714286%85.714286%85.7%663885.490847%85.490847%85.5%16,99917.0k85.200411%85.200411%85.2%8293984.794428%84.794428%84.8%13,88013.9k84.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M82.978723%82.978723%83.0%394082.773109%82.773109%82.8%1974181.372549%81.372549%81.4%834279.275686%79.275686%79.3%4,9694377.173913%77.173913%77.2%2134477.083333%77.083333%77.1%744577.018634%77.018634%77.0%7444672.500000%72.500000%72.5%294769.147005%69.147005%69.1%7624865.196078%65.196078%65.2%1334942.105263%42.105263%42.1%850

Employment Status by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares Denmark to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Denmark. The least populous of the compared county subdivisions has a population of 16,289.

Employed Working-Age Men by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Denmark, selected other county subdivisions in Wisconsin, and entities that contain Denmark
0%20%40%60%80%Count#MuskegoMequonGermantown020600Tract 020600New BerlinOak CreekWest BendMenomonee FallsTown of Grand ChuteGrand ChuteDenmark School DistrictDenmarkStevens PointHowardDe PereOconomowocBrookfieldDenmarkDenmarkZIP Code 54208ZIP 54208WauwatosaNeenahMount PleasantMt PleasantCaledoniaSun PrairieManitowocMadisonAppletonBeaver DamMarshfieldWaukeshaMiddletonSouth MilwaukeeS MilwaukeeWisconsin RapidsOnalaskaEau ClaireSheboyganWisconsinWest AllisGreen Bay Metro AreaGreen BayGreenfieldJanesvilleBrown CountyBrownMidwestUnited States of AmericaUnited StatesMenomonieEast North CentralTown of MenashaMenashaFond du LacWausauPleasant PrairieKenoshaLa CrosseGreen BayCudahyMilwaukeeAshwaubenonBeloitFitchburgRacineSuperiorFranklinOshkosh98.058902%98.058902%98.1%1,465196.724138%96.724138%96.7%1,122296.606156%96.606156%96.6%1,224396.285714%96.285714%96.3%33795.799458%95.799458%95.8%2,121494.341801%94.341801%94.3%2,451593.692565%93.692565%93.7%2,243693.540670%93.540670%93.5%1,955793.492209%93.492209%93.5%1,020893.490054%93.490054%93.5%51793.407534%93.407534%93.4%1,091993.065998%93.065998%93.1%1,1141092.941999%92.941999%92.9%1,3301192.846154%92.846154%92.8%1,2071292.424942%92.424942%92.4%2,0011392.424242%92.424242%92.4%12292.424242%92.424242%92.4%12292.180095%92.180095%92.2%38991.573927%91.573927%91.6%2,8801491.207349%91.207349%91.2%1,3901590.369800%90.369800%90.4%1,1731690.359712%90.359712%90.4%1,2561790.322581%90.322581%90.3%2,0441888.790723%88.790723%88.8%1,6081988.756525%88.756525%88.8%13,26213.3k2088.514327%88.514327%88.5%3,6762188.347458%88.347458%88.3%8342287.915743%87.915743%87.9%7932387.752248%87.752248%87.8%4,3922487.537388%87.537388%87.5%8782587.068966%87.068966%87.1%1,1112687.001024%87.001024%87.0%8502786.996904%86.996904%87.0%8432886.411830%86.411830%86.4%3,0972986.371047%86.371047%86.4%2,6493086.186197%86.186197%86.2%301,656302k85.839844%85.839844%85.8%3,5163185.490847%85.490847%85.5%16,99917.0k84.992643%84.992643%85.0%1,7333284.875740%84.875740%84.9%3,5863384.794428%84.794428%84.8%13,88013.9k84.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.472454%83.472454%83.5%5003483.320331%83.320331%83.3%2,401,9262.40M83.119109%83.119109%83.1%9703582.684755%82.684755%82.7%2,3163682.453077%82.453077%82.5%1,8893782.231699%82.231699%82.2%1,1573881.179690%81.179690%81.2%5,3403980.587748%80.587748%80.6%1,9474079.275686%79.275686%79.3%4,9694178.614200%78.614200%78.6%9194278.119364%78.119364%78.1%27,72327.7k4377.018634%77.018634%77.0%7444476.950355%76.950355%77.0%1,5194576.824911%76.824911%76.8%1,5054676.630435%76.630435%76.6%3,9484774.801061%74.801061%74.8%1,1284872.924458%72.924458%72.9%1,9504970.366448%70.366448%70.4%3,32250

Employment Status by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Denmark to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Denmark. 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 Denmark, selected other county subdivisions in the Midwest, and entities that contain Denmark
0%20%40%60%80%Count#020600Tract 020600Overland ParkDenmark School DistrictDenmarkOlatheDenmarkDenmarkZIP Code 54208ZIP 54208Wheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWorth TownshipWorthCedar RapidsMinneapolisWisconsinProviso TownshipProvisoOmahaLawrence TownshipLawrenceGreen Bay Metro AreaGreen BayWichitaBrown CountyBrownMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoEast North CentralColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit96.285714%96.285714%96.3%33793.627366%93.627366%93.6%10,78410.8k193.490054%93.490054%93.5%51793.479924%93.479924%93.5%9,778292.424242%92.424242%92.4%12292.424242%92.424242%92.4%12292.180095%92.180095%92.2%38991.560055%91.560055%91.6%9,948391.077773%91.077773%91.1%6,921490.865545%90.865545%90.9%8,157590.672074%90.672074%90.7%6,260690.604575%90.604575%90.6%6,654790.562660%90.562660%90.6%7,082890.366782%90.366782%90.4%6,529990.080764%90.080764%90.1%7,9191089.640761%89.640761%89.6%10,08110.1k1189.300338%89.300338%89.3%5,0161288.756525%88.756525%88.8%13,26213.3k1388.717454%88.717454%88.7%7,3601488.706564%88.706564%88.7%8,2711588.477574%88.477574%88.5%7,0031687.982401%87.982401%88.0%6,9991787.795961%87.795961%87.8%15,12915.1k1887.656994%87.656994%87.7%6,0721986.546302%86.546302%86.5%7,4302086.368701%86.368701%86.4%6,9762186.339842%86.339842%86.3%24,41024.4k2286.186197%86.186197%86.2%301,656302k86.115652%86.115652%86.1%8,4292386.096143%86.096143%86.1%24,28624.3k2485.843794%85.843794%85.8%6,1552585.490847%85.490847%85.5%16,99917.0k85.168183%85.168183%85.2%19,85119.9k2684.794428%84.794428%84.8%13,88013.9k84.507990%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%160,537161k3183.320331%83.320331%83.3%2,401,9262.40M83.115810%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

Employment Status by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Denmark to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Denmark. 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 Denmark, selected other county subdivisions in the United States, and entities that contain Denmark
0%20%40%60%80%Count#020600Tract 020600Denmark School DistrictDenmarkPlanoSeattle EastNortheast TarrantNE TarrantDenmarkDenmarkZIP Code 54208ZIP 54208Northwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaWisconsinFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanGreen Bay Metro AreaGreen BaySouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonBrown CountyBrownTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit96.285714%96.285714%96.3%33793.490054%93.490054%93.5%51793.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k392.424242%92.424242%92.4%12292.424242%92.424242%92.4%12292.180095%92.180095%92.2%38991.358362%91.358362%91.4%50,22750.2k490.463389%90.463389%90.5%122,150122k590.234987%90.234987%90.2%62,20862.2k689.558063%89.558063%89.6%63,34863.3k788.885729%88.885729%88.9%53,13553.1k888.524499%88.524499%88.5%95,88095.9k988.135281%88.135281%88.1%47,89847.9k1087.849906%87.849906%87.8%40,92440.9k1187.683423%87.683423%87.7%143,173143k1287.620894%87.620894%87.6%208,826209k1387.587463%87.587463%87.6%63,96664.0k1487.270578%87.270578%87.3%70,13570.1k1586.940737%86.940737%86.9%99,86199.9k1686.642310%86.642310%86.6%32,49032.5k1786.186197%86.186197%86.2%301,656302k86.152627%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%102,788103k2185.490847%85.490847%85.5%16,99917.0k85.460025%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%39,14339.1k2784.794428%84.794428%84.8%13,88013.9k84.549061%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%25,45725.5k3283.320331%83.320331%83.3%2,401,9262.40M83.264614%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

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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