Employment Status in Brooklyn, Dane County, Wisconsin (Village)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Dane County and Brooklyn
Brooklyn
Dane County
0%20%40%60%CountArmed ForcesEmployed1UnemployedOther20.426136%0.050077%0.426136%0.4%378.977273%69.688949%78.977273%79.0%5564.261364%3.192306%4.261364%4.3%3016.335227%27.068668%16.335227%16.3%115
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 Dane County and Brooklyn
Brooklyn
Dane County
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.847458%0.000000%0.847458%0.847458%0.8%03-76.571429%-76.571429%-76.571429%76.6%76.571429%4.784504%76.571429%4.784504%81.355932%81.4%268288-3.389831%-1.753027%-3.389831%-1.753027%-5.142857%5.1%3.389831%3.389831%3.389831%3.4%1812-14.406780%-3.878935%-14.406780%-3.878935%-18.285714%18.3%14.406780%14.406780%14.406780%14.4%6451
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 Brooklyn
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%27.272727%27%0.000000%72.727273%73%30.000000%14.285714%14%0.000000%85.714286%86%30.000000%53.488372%53%9.302326%9%37.209302%37%230.000000%30.000000%30%0.000000%70.000000%70%30.000000%84.848485%85%15.151515%15%0.000000%562.857143%97.142857%97%0.000000%0.000000%1050.000000%95.862069%96%0.000000%4.137931%1390.000000%94.339623%94%0.000000%5.660377%1000.000000%85.714286%86%0.000000%14.285714%14%720.000000%36.666667%37%0.000000%63.333333%63%110.000000%76.666667%77%6.666667%7%16.666667%17%230.000000%58.333333%58%38.888889%39%2.777778%210%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 Brooklyn
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%100.000%100%0.000%0%20.000%20.0%27.778%27.8%72.000%72.0%30.000%30.0%0.000%0%100.000%100%72.973%73.0%100.000%100%100.000%100%94.915%94.9%96.512%96.5%90.909%90.9%100.000%100%70.000%70.0%100.000%100%100.000%100%24.000%24.0%100.000%100%41.667%41.7%42.308%42.3%100.000%100%
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 Dane County and Brooklyn
More Females More Males
Dane County
Brooklyn
1,000%500%0%M:FFM62-6460-6155-5945-5435-4430-3425-2922-2420-2116-19260.000000%17.450891%260.000000%260.0%3.6003.60518-1,000.000000%-1,000.000000%> 1000%6.844489%0.000030-7.407407%-7.490335%-7.407407%7.4%0.9310.932927-1.923077%-1.923077%1.9%2.882300%0.9810.98535248.214286%11.958748%48.214286%48.2%1.4821.485683-50.000000%-50.000000%50.0%11.336057%0.6670.67604057.142857%11.595935%57.142857%57.1%1.5711.57284420.000000%5.002852%20.000000%20.0%1.2001.2056-260.000000%-8.392662%-260.000000%260.0%0.2780.28185-10.000000%-20.447396%-10.000000%10.0%0.9090.911110
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 Dane County.
Scope: population of Dane County, Brooklyn, and selected other county subdivisions in Dane Counties
Brooklyn
Dane 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%100.000%100%20.000%20.0%72.000%72.0%0.000%0%72.973%73.0%100.000%100%96.512%96.5%100.000%100%100.000%100%24.000%24.0%41.667%41.7%100.000%100%
% employed percentage of male population in Brooklyn

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Dane County.
Scope: population of Dane County, Brooklyn, and selected other county subdivisions in Dane Counties
Brooklyn
Dane 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%27.778%27.8%30.000%30.0%100.000%100%100.000%100%94.915%94.9%90.909%90.9%70.000%70.0%100.000%100%100.000%100%42.308%42.3%
% employed percentage of female population in Brooklyn

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Dane County and Brooklyn
Brooklyn
Dane 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 …244.859813%32.677825%44.859813%44.9%962.336449%7.812306%2.336449%2.3%51.401869%1.180329%1.401869%1.4%30.000000%0.000000%0.0%0.431373%036.915888%30.637853%36.915888%36.9%795.607477%8.248852%5.607477%5.6%121.869159%5.782679%1.869159%1.9%47.009346%13.228783%7.009346%7.0%15
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 Dane County and Brooklyn
Brooklyn
Dane County
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work92.307692%77.616158%92.307692%92.3%964.807692%18.555738%4.807692%4.8%52.884615%2.803509%2.884615%2.9%30.000000%0.000000%0.0%1.024595%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 Dane County and Brooklyn
Brooklyn
Dane County
0%20%40%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work71.818182%52.916793%71.818182%71.8%7910.909091%14.247173%10.909091%10.9%123.636364%9.987672%3.636364%3.6%413.636364%22.848362%13.636364%13.6%15

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 Dane County and Brooklyn
Brooklyn
Dane County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.502793%87.237368%90.502793%90.5%16289.565217%80.387262%89.565217%89.6%20687.500000%76.854310%87.500000%87.5%11281.818182%64.453569%81.818182%81.8%18
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 Dane County and Brooklyn
Female Male
Dane County
Brooklyn
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%%Hispanic1OtherWhiteBlackAsianMixed-0.000000%-37.500000%-23.433756%-12.700389%-37.500000%37.5%0.000000%23.433756%0.000000%0.0%16.667%16.7%-0.000000%-18.183784%-10.033903%0.000000%0.0%0.000000%33.333333%18.183784%33.333333%33.3%12.500%12.5%-13.968254%-3.352007%-17.907855%-3.298376%-17.320261%17.3%13.968254%17.907855%13.968254%14.0%15.620%15.6%-0.000000%-30.059118%0.000000%0.0%0.000000%0.000000%30.059118%3.274216%0.000000%0.0%0.000%0%-0.000000%-28.822381%-7.178353%0.000000%0.0%0.000000%0.000000%28.822381%0.000000%0.0%0.000%0%-0.000000%-31.363887%0.000000%0.0%0.000000%0.000000%31.363887%0.718711%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 Dane County and Brooklyn
Female Male
Dane County
Brooklyn
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%%Hispanic1OtherWhiteBlackAsianMixed-0.000000%-37.500000%-4.145937%-37.500000%37.5%0.000000%4.145937%1.982101%0.000000%0.0%16.667%16.7%-0.000000%-7.308108%-1.290531%0.000000%0.0%0.000000%33.333333%7.308108%33.333333%33.3%12.500%12.5%-3.174603%-1.727358%-2.598763%-4.901961%4.9%3.174603%2.598763%1.108260%3.174603%3.2%4.026%4.03%-0.000000%-7.298772%0.000000%0.0%0.000000%0.000000%7.298772%0.281600%0.000000%0.0%0.000%0%-0.000000%-3.890979%0.000000%0.0%0.000000%0.000000%3.890979%0.542518%0.000000%0.0%0.000%0%-0.000000%-4.658776%-0.034763%0.000000%0.0%0.000000%0.000000%4.658776%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 Dane County and Brooklyn
Female Male
Dane County
Brooklyn
Shaded bar tips show excess over facing bar.
0.0%0.2%0.4%0.6%0.8%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.017111%0.000000%0.00%0.000000%0.952381%0.017111%0.099380%0.952381%0.95%0.483%0.48%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.205409%0.000000%0.00%0.000%0%-0.000000%-0.000000%-0.045475%0.000000%0.00%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 Dane County and Brooklyn
Female Male
Dane County
Brooklyn
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteOtherHispanic1BlackAsianMixed-82.679739%-78.793769%-82.679739%82.7%82.679739%3.352007%78.793769%3.298376%86.031746%86.0%84.380%84.4%-66.666667%-33.333333%-71.782313%-100.000000%100.0%66.666667%71.782313%10.033903%66.666667%66.7%87.500%87.5%-62.500000%-63.865856%-62.500000%62.5%62.500000%37.500000%63.865856%12.700389%100.000000%100.0%83.333%83.3%-0.000000%-66.666667%-3.274216%0.000000%0.0%0.000000%0.000000%66.666667%0.000000%0.0%0.000%0%-0.000000%-63.999266%0.000000%0.0%0.000000%0.000000%63.999266%7.178353%0.000000%0.0%0.000%0%-0.000000%-67.917401%-0.718711%0.000000%0.0%0.000000%0.000000%67.917401%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in the Madison Area

There are 149 county subdivisions in the Madison Area. This section compares Brooklyn to the 50 most populous county subdivisions in the Madison Area and to those entities that contain or substantially overlap with Brooklyn. The least populous of the compared county subdivisions has a population of 1,919.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Brooklyn, selected other county subdivisions in the Madison Area, and entities that contain Brooklyn
0%50%100%Count#Town of DunnTown of WestportWestportTown of LodiTown of OregonOregonBrodheadLodiMineral PointCottage GroveMount HorebBrooklynWaunakeeMcFarlandTown of West PointW PtZIP Code 53521ZIP 53521VeronaColumbusBrooklynNew GlarusPardeevilleTown of SpringfieldSpringfieldTown of Cottage GroveCottage GrvDeForestTown of AlbionAlbionTown of DekorraDekorraStoughtonTown of BurkeCross PlainsOregonTown of MiddletonMiddleton012400Tract 012400Town of DunkirkDunkirkTown of PacificPacificTown of SpringdaleSpringdaleBellevilleTown of ExeterExeterShorewood HillsShorewood HlsMononaTown of BristolBristolTown of Sun PrairieSun PrairieSun PrairieDane CountyDaneMadison Metro AreaMadison AreaDodgevilleMadisonMiddletonTown of RutlandRutlandWindsorPoynetteWisconsinTown of Pleasant SpringsPleasant SpgsMidwestUnited States of AmericaUnited StatesEast North CentralTown of MadisonMadisonDeerfieldWisconsin DellsMonroeMarshallOregon School DistrictOregonFitchburgPortage100.000000%100.000000%100.0%3561100.000000%100.000000%100.0%992100.000000%100.000000%100.0%2083100.000000%100.000000%100.0%1144100.000000%100.000000%100.0%1915100.000000%100.000000%100.0%2006100.000000%100.000000%100.0%145798.319328%98.319328%98.3%468897.882939%97.882939%97.9%786997.761194%97.761194%97.8%13197.346939%97.346939%97.3%9541097.173145%97.173145%97.2%5501196.825397%96.825397%96.8%1221296.762590%96.762590%96.8%26996.624473%96.624473%96.6%6871396.518987%96.518987%96.5%3051496.511628%96.511628%96.5%8395.867769%95.867769%95.9%1161595.857988%95.857988%95.9%1621695.757576%95.757576%95.8%1581795.470383%95.470383%95.5%2741895.468750%95.468750%95.5%6111995.294118%95.294118%95.3%812095.238095%95.238095%95.2%1402195.169082%95.169082%95.2%9852295.136778%95.136778%95.1%3132394.871795%94.871795%94.9%2222494.568245%94.568245%94.6%6792594.485294%94.485294%94.5%5142694.385965%94.385965%94.4%26994.382022%94.382022%94.4%842792.857143%92.857143%92.9%1432892.307692%92.307692%92.3%962992.307692%92.307692%92.3%1323091.836735%91.836735%91.8%1803191.304348%91.304348%91.3%843291.240876%91.240876%91.2%5003390.875912%90.875912%90.9%2493490.434783%90.434783%90.4%1043590.322581%90.322581%90.3%2,0443689.796345%89.796345%89.8%30,07130.1k89.571558%89.571558%89.6%36,60736.6k89.169675%89.169675%89.2%2473788.756525%88.756525%88.8%13,26213.3k3887.537388%87.537388%87.5%8783987.417219%87.417219%87.4%1324086.641221%86.641221%86.6%4544186.631016%86.631016%86.6%1624286.186197%86.186197%86.2%301,656302k84.713376%84.713376%84.7%1334384.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M82.181260%82.181260%82.2%5354480.465116%80.465116%80.5%1734580.188679%80.188679%80.2%854679.690949%79.690949%79.7%3614778.291815%78.291815%78.3%2204877.043044%77.043044%77.0%1,23576.824911%76.824911%76.8%1,5054964.406780%64.406780%64.4%49450
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 Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares Brooklyn to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Brooklyn. 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 Brooklyn, selected other county subdivisions in Wisconsin, and entities that contain Brooklyn
0%20%40%60%80%Count#MuskegoBrooklynZIP Code 53521ZIP 53521MequonGermantownBrooklynNew Berlin012400Tract 012400Oak CreekWest BendMenomonee FallsTown of Grand ChuteGrand ChuteStevens PointHowardDe PereOconomowocBrookfieldWauwatosaNeenahMount PleasantMt PleasantCaledoniaSun PrairieDane CountyDaneMadison Metro AreaMadison AreaManitowocMadisonAppletonBeaver DamMarshfieldWaukeshaMiddletonSouth MilwaukeeS MilwaukeeWisconsin RapidsOnalaskaEau ClaireSheboyganWisconsinWest AllisGreenfieldJanesvilleMidwestUnited States of AmericaUnited StatesMenomonieEast North CentralTown of MenashaMenashaFond du LacWausauPleasant PrairieKenoshaLa CrosseGreen BayCudahyMilwaukeeOregon School DistrictOregonAshwaubenonBeloitFitchburgRacineSuperiorFranklinOshkosh98.058902%98.058902%98.1%1,465197.761194%97.761194%97.8%13196.762590%96.762590%96.8%26996.724138%96.724138%96.7%1,122296.606156%96.606156%96.6%1,224396.511628%96.511628%96.5%8395.799458%95.799458%95.8%2,121494.385965%94.385965%94.4%26994.341801%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%1,020893.407534%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%2,0011391.573927%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%2,0441889.796345%89.796345%89.8%30,07130.1k89.571558%89.571558%89.6%36,60736.6k88.790723%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%3,5163184.992643%84.992643%85.0%1,7333284.875740%84.875740%84.9%3,5863384.507990%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%27,72327.7k4377.043044%77.043044%77.0%1,23577.018634%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
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 Brooklyn to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Brooklyn. 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 Brooklyn, selected other county subdivisions in the Midwest, and entities that contain Brooklyn
0%20%40%60%80%Count#BrooklynZIP Code 53521ZIP 53521Brooklyn012400Tract 012400Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvDane CountyDaneAurora TownshipAuroraMadison Metro AreaMadison AreaAnn ArborMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWorth TownshipWorthCedar RapidsMinneapolisWisconsinProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoEast North CentralColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisOregon School DistrictOregonRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit97.761194%97.761194%97.8%13196.762590%96.762590%96.8%26996.511628%96.511628%96.5%8394.385965%94.385965%94.4%26993.627366%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%6,921490.865545%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%7,9191089.796345%89.796345%89.8%30,07130.1k89.640761%89.640761%89.6%10,08110.1k1189.571558%89.571558%89.6%36,60736.6k89.300338%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%6,1552585.168183%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%160,537161k3183.320331%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%15,53115.5k4077.043044%77.043044%77.0%1,23575.508970%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 Brooklyn to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Brooklyn. 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 Brooklyn, selected other county subdivisions in the United States, and entities that contain Brooklyn
0%20%40%60%80%Count#BrooklynZIP Code 53521ZIP 53521Brooklyn012400Tract 012400PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinDane CountyDaneMadison Metro AreaMadison AreaSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaWisconsinFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxOregon School DistrictOregonFresnoBaltimorePhiladelphiaDetroit97.761194%97.761194%97.8%13196.762590%96.762590%96.8%26996.511628%96.511628%96.5%8394.385965%94.385965%94.4%26993.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k391.358362%91.358362%91.4%50,22750.2k490.463389%90.463389%90.5%122,150122k590.234987%90.234987%90.2%62,20862.2k689.796345%89.796345%89.8%30,07130.1k89.571558%89.571558%89.6%36,60736.6k89.558063%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%102,788103k2185.460025%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%25,45725.5k3283.320331%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%65,61365.6k4677.043044%77.043044%77.0%1,23575.839532%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

For additional information about the data presented on this site, including our sources, please see the About Page.

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State:
Wisconsin
County:
Dane
Metro Area:
Madison Area
Village:
Brooklyn
ZIP Code:
53521
Unified School District:
Oregon
Congressional District:
WI-2
State Senate Districts:
WI-15, WI-27
Assembly Districts:
WI-43, WI-80
Neighboring Towns:
Brooklyn, Oregon, Rutland, Union
Nearby Towns:
Albany, Dunkirk, Dunn, Exeter