Employment Status in Brown Deer, Milwaukee County, Wisconsin (Village)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.122486%0.035656%0.122486%0.1%1262.355823%60.379617%62.355823%62.4%6,1094.123711%5.337560%4.123711%4.1%40433.397979%34.247167%33.397979%33.4%3,272
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 Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.265781%0.000000%0.265781%0.265781%0.3%012-61.681181%-61.681181%-61.681181%61.7%61.681181%1.463891%61.681181%1.463891%63.145072%63.1%3,2582,851-3.986711%-0.254107%-3.986711%-0.254107%-4.240818%4.2%3.986711%3.986711%3.986711%4.0%224180-32.602436%-1.475564%-32.602436%-1.475564%-34.078001%34.1%32.602436%32.602436%32.602436%32.6%1,8001,472
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 Brown Deer
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%12.614679%13%0.000000%87.385321%87%1100.000000%14.336918%14%0.000000%85.663082%86%800.000000%24.794521%25%1.917808%73.287671%73%1810.000000%42.496051%42%0.000000%57.503949%58%2690.000000%65.586035%66%2.992519%31.421446%31%2630.000000%78.498294%78%0.000000%21.501706%22%6900.727714%85.809582%86%6.731352%7%6.731352%7%1,4270.000000%84.993850%85%7.503075%8%7.503075%8%1,3820.000000%74.497682%74%1.854714%23.647604%24%4820.000000%83.975155%84%1.863354%14.161491%14%6760.000000%86.577181%87%13.087248%13%0.335570%2580.000000%63.194444%63%28.472222%28%8.333333%8%910.000000%38.198198%38%6.846847%7%54.954955%55%2120%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 Brown Deer
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1919.872%19.9%4.208%4.21%17.956%18.0%7.653%7.65%27.614%27.6%21.849%21.8%28.195%28.2%52.861%52.9%57.767%57.8%73.846%73.8%73.013%73.0%85.037%85.0%85.747%85.7%87.420%87.4%81.585%81.6%89.178%89.2%68.542%68.5%83.594%83.6%78.525%78.5%91.279%91.3%99.448%99.4%66.667%66.7%57.813%57.8%67.500%67.5%48.872%48.9%28.374%28.4%
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 Milwaukee County and Brown Deer
More Females More Males
Milwaukee County
Brown Deer
400%200%0%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-447.058824%-12.428977%-447.058824%447.1%0.1830.189317-333.333333%-23.675115%-333.333333%333.3%0.2310.236515-32.051282%-18.958032%-32.051282%32.1%0.7570.7610378-0.675987%158.666667%158.666667%158.7%2.5872.597519421.008403%12.264763%21.008403%21.0%1.2101.21119144-2.346041%-9.132703%-2.346041%2.3%0.9770.98349341-9.544787%-9.544787%9.5%0.732301%0.9130.91746681-12.288786%-12.288786%12.3%6.060134%0.8910.89731651-25.233645%-25.233645%25.2%1.889747%0.7990.80268214-15.286624%-0.936288%-15.286624%15.3%0.8670.87362314-130.769231%-13.787756%-130.769231%130.8%0.4330.4318078-20.090740%45.945946%45.945946%45.9%1.4591.463754-58.536585%-10.316636%-58.536585%58.5%0.6310.6313082
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 Milwaukee County.
Scope: population of Milwaukee County, Brown Deer, and selected other county subdivisions in Milwaukee Counties
Brown Deer
Milwaukee County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-194.208%4.21%7.653%7.65%21.849%21.8%52.861%52.9%73.846%73.8%85.037%85.0%87.420%87.4%89.178%89.2%83.594%83.6%91.279%91.3%66.667%66.7%67.500%67.5%28.374%28.4%
% employed percentage of male population in Brown Deer

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Milwaukee County.
Scope: population of Milwaukee County, Brown Deer, and selected other county subdivisions in Milwaukee Counties
Brown Deer
Milwaukee County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1919.872%19.9%17.956%18.0%27.614%27.6%28.195%28.2%57.767%57.8%73.013%73.0%85.747%85.7%81.585%81.6%68.542%68.5%78.525%78.5%99.448%99.4%57.813%57.8%48.872%48.9%
% employed percentage of female population in Brown Deer

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Milwaukee County and Brown Deer
Brown Deer
Milwaukee 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 …233.049206%28.941223%33.049206%33.0%8535.617978%9.337191%5.617978%5.6%1450.348702%1.800539%0.348702%0.3%90.000000%0.000000%0.0%0.648646%027.469973%28.453043%27.469973%27.5%7095.966680%8.767648%5.966680%6.0%1547.593956%6.985189%7.593956%7.6%19619.953506%15.066522%19.953506%20.0%515
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 Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work84.707051%71.060469%84.707051%84.7%85314.399206%22.925954%14.399206%14.4%1450.893744%4.420932%0.893744%0.9%90.000000%0.000000%0.0%1.592645%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 Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work45.044473%48.003864%45.044473%45.0%7099.783990%14.792125%9.783990%9.8%15412.452351%11.784893%12.452351%12.5%19632.719187%25.419119%32.719187%32.7%515

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 Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.935290%86.597737%83.935290%83.9%2,23175.863470%74.714767%75.863470%75.9%1,86777.596899%65.937507%77.596899%77.6%1,00138.961039%47.259876%38.961039%39.0%90
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 Milwaukee County and Brown Deer
Female Male
Milwaukee County
Brown Deer
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%%MixedHispanic1OtherBlackAsianWhite-15.254237%-36.652254%-15.254237%15.3%15.254237%42.049133%36.652254%5.961778%57.303371%57.3%40.541%40.5%-9.615385%-53.241758%-26.749922%-11.894820%-62.857143%62.9%9.615385%26.749922%9.615385%9.6%40.164%40.2%-19.101124%-14.941430%-26.060883%-17.117659%-34.042553%34.0%19.101124%26.060883%19.101124%19.1%26.776%26.8%-20.215311%-7.539791%-40.983790%-27.755102%27.8%20.215311%40.983790%8.066265%20.215311%20.2%25.022%25.0%-14.782609%-17.619626%-25.733178%-14.393205%-32.402235%32.4%14.782609%25.733178%14.782609%14.8%25.510%25.5%-21.634615%-2.667061%-22.528519%-2.851064%-24.301676%24.3%21.634615%22.528519%21.634615%21.6%22.926%22.9%
% 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 Milwaukee County and Brown Deer
Female Male
Milwaukee County
Brown Deer
Shaded bar tips show excess over facing bar.
10%5%0%5%10%%BlackAsianWhiteHispanic1MixedOther-8.253589%-1.542330%-10.463946%-9.795918%9.8%8.253589%10.463946%1.281076%8.253589%8.3%9.237%9.24%-0.000000%-3.897316%-0.415480%0.000000%0.0%0.000000%9.565217%3.897316%9.565217%9.6%3.741%3.74%-3.072626%-3.367546%-3.072626%3.1%3.072626%1.298004%3.367546%1.378510%4.370629%4.4%3.742%3.74%-0.000000%-4.680446%0.000000%0.0%0.000000%0.000000%4.680446%1.446238%0.000000%0.0%0.000%0%-0.000000%-8.202594%0.000000%0.0%0.000000%0.000000%8.202594%2.384656%0.000000%0.0%0.000%0%-0.000000%-5.699926%-0.867725%0.000000%0.0%0.000000%0.000000%5.699926%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 Milwaukee County and Brown Deer
Female Male
Milwaukee County
Brown Deer
Shaded bar tips show excess over facing bar.
0.0%0.1%0.2%0.3%0.4%0.5%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.031402%0.000000%0.00%0.000000%0.524476%0.031402%0.052820%0.524476%0.52%0.271%0.27%-0.000000%-0.000000%-0.033136%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%0.069137%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.070012%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 Milwaukee County and Brown Deer
Female Male
Milwaukee County
Brown Deer
Shaded bar tips show excess over facing bar.
50%0%50%%WhiteAsianBlackOtherHispanic1Mixed-75.698324%-74.620417%-75.698324%75.7%75.698324%2.667061%74.620417%2.851064%78.365385%78.4%77.074%77.1%-67.597765%-59.873618%-67.597765%67.6%67.597765%17.619626%59.873618%14.393205%85.217391%85.2%74.490%74.5%-72.244898%-50.949945%-8.066265%-72.244898%72.2%72.244898%7.539791%50.949945%79.784689%79.8%74.978%75.0%-65.957447%-56.821458%-65.957447%66.0%65.957447%14.941430%56.821458%17.117659%80.898876%80.9%73.224%73.2%-37.142857%-61.355258%-37.142857%37.1%37.142857%53.241758%61.355258%11.894820%90.384615%90.4%59.836%59.8%-42.696629%-42.049133%-57.385967%-5.961778%-84.745763%84.7%42.696629%57.385967%42.696629%42.7%59.459%59.5%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in the Milwaukee Area

There are 96 county subdivisions in the Milwaukee Area. This section compares Brown Deer to the 50 most populous county subdivisions in the Milwaukee Area and to those entities that contain or substantially overlap with Brown Deer. The least populous of the compared county subdivisions has a population of 4,783.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Brown Deer, selected other county subdivisions in the Milwaukee Area, and entities that contain Brown Deer
0%20%40%60%80%Count#HartlandMuskegoTown of OconomowocOconomowocTown of MertonMertonTown of DelafieldDelafieldTown of VernonVernonSlingerTown of MukwonagoMukwonagoTown of CedarburgCedarburgMequonGermantownSummitWhitefish BayRichfieldNew BerlinSussexPewaukeeElm GroveOak CreekFox PointWest BendMenomonee FallsMukwonagoOconomowocBrookfieldPewaukeeWauwatosaCedarburgSt. FrancisHales CornersDelafieldBrown DeerBrown Deer School DistrictBrown DeerBrown DeerGraftonWaukeshaHartfordTown of LisbonLisbonSouth MilwaukeeS MilwaukeeTown of GeneseeGeneseeJacksonWisconsinTown of WaukeshaWaukeshaWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeGreendaleGreenfieldPort WashingtonMidwestUnited States of AmericaUnited StatesShorewoodGlendaleEast North CentralMilwaukee CountyMilwaukeeCudahyMilwaukeeTown of BrookfieldBrookfieldFranklin98.222940%98.222940%98.2%608198.058902%98.058902%98.1%1,465297.879859%97.879859%97.9%554397.844828%97.844828%97.8%454497.768763%97.768763%97.8%482597.694524%97.694524%97.7%339697.577093%97.577093%97.6%443797.235772%97.235772%97.2%598897.014925%97.014925%97.0%260996.724138%96.724138%96.7%1,1221096.606156%96.606156%96.6%1,2241196.581197%96.581197%96.6%2261296.371681%96.371681%96.4%1,0891395.906433%95.906433%95.9%6561495.799458%95.799458%95.8%2,1211595.539033%95.539033%95.5%7711695.257732%95.257732%95.3%4621794.674556%94.674556%94.7%3201894.341801%94.341801%94.3%2,4511993.939394%93.939394%93.9%4032093.692565%93.692565%93.7%2,2432193.540670%93.540670%93.5%1,9552293.256579%93.256579%93.3%5672392.846154%92.846154%92.8%1,2072492.424942%92.424942%92.4%2,0012592.204629%92.204629%92.2%7572691.573927%91.573927%91.6%2,8802791.304348%91.304348%91.3%6932890.625000%90.625000%90.6%6092990.306122%90.306122%90.3%3543089.575290%89.575290%89.6%2323189.178082%89.178082%89.2%65189.178082%89.178082%89.2%65189.178082%89.178082%89.2%6513288.956127%88.956127%89.0%5883387.752248%87.752248%87.8%4,3923487.725225%87.725225%87.7%7793587.429644%87.429644%87.4%4663687.068966%87.068966%87.1%1,1113786.319218%86.319218%86.3%2653886.227545%86.227545%86.2%4323986.186197%86.186197%86.2%301,656302k85.840708%85.840708%85.8%2914085.839844%85.839844%85.8%3,5164185.834369%85.834369%85.8%82,20182.2k85.281385%85.281385%85.3%5914284.992643%84.992643%85.0%1,7334384.975369%84.975369%85.0%6904484.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.825266%83.825266%83.8%7104583.333333%83.333333%83.3%4604683.320331%83.320331%83.3%2,401,9262.40M81.460511%81.460511%81.5%47,62147.6k78.614200%78.614200%78.6%9194778.119364%78.119364%78.1%27,72327.7k4877.566540%77.566540%77.6%2044972.924458%72.924458%72.9%1,95050
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 Brown Deer to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Brown Deer. 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 Brown Deer, selected other county subdivisions in Wisconsin, and entities that contain Brown Deer
0%20%40%60%80%Count#MuskegoMequonGermantownNew BerlinOak CreekWest BendMenomonee FallsTown of Grand ChuteGrand ChuteStevens PointHowardDe PereOconomowocBrookfieldWauwatosaNeenahMount PleasantMt PleasantCaledoniaSun PrairieBrown DeerBrown Deer School DistrictBrown DeerBrown DeerManitowocMadisonAppletonBeaver DamMarshfieldWaukeshaMiddletonSouth MilwaukeeS MilwaukeeWisconsin RapidsOnalaskaEau ClaireSheboyganWisconsinWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeGreenfieldJanesvilleMidwestUnited States of AmericaUnited StatesMenomonieEast North CentralTown of MenashaMenashaFond du LacWausauPleasant PrairieMilwaukee CountyMilwaukeeKenoshaLa CrosseGreen BayCudahyMilwaukeeAshwaubenonBeloitFitchburgRacineSuperiorFranklinOshkosh98.058902%98.058902%98.1%1,465196.724138%96.724138%96.7%1,122296.606156%96.606156%96.6%1,224395.799458%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%1,020893.407534%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%2,0441889.178082%89.178082%89.2%65189.178082%89.178082%89.2%65189.178082%89.178082%89.2%65188.790723%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%3,5163185.834369%85.834369%85.8%82,20182.2k84.992643%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%1,1573881.460511%81.460511%81.5%47,62147.6k81.179690%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
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 Brown Deer to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Brown Deer. 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 Brown Deer, selected other county subdivisions in the Midwest, and entities that contain Brown Deer
0%20%40%60%80%Count#Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborBrown DeerBrown Deer School DistrictBrown DeerBrown DeerMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWorth TownshipWorthCedar RapidsMinneapolisWisconsinProviso TownshipProvisoOmahaLawrence TownshipLawrenceMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoEast North CentralColumbusCapital TownshipCapitalWarrenMilwaukee CountyMilwaukeeKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit93.627366%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%7,9191089.640761%89.640761%89.6%10,08110.1k1189.300338%89.300338%89.3%5,0161289.178082%89.178082%89.2%65189.178082%89.178082%89.2%65189.178082%89.178082%89.2%65188.756525%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%6,1552585.834369%85.834369%85.8%82,20182.2k85.168183%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%6,4653481.460511%81.460511%81.5%47,62147.6k81.379310%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 Brown Deer to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Brown Deer. 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 Brown Deer, selected other county subdivisions in the United States, and entities that contain Brown Deer
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityBrown DeerBrown Deer School DistrictBrown DeerBrown DeerTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaWisconsinFort WorthSan DiegoMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSan 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…AlbuquerqueBostonMiamiMilwaukee CountyMilwaukeeTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit93.125861%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%62,20862.2k689.558063%89.558063%89.6%63,34863.3k789.178082%89.178082%89.2%65189.178082%89.178082%89.2%65189.178082%89.178082%89.2%65188.885729%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%138,398138k1985.834369%85.834369%85.8%82,20182.2k85.753475%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%57,48057.5k3981.460511%81.460511%81.5%47,62147.6k80.378047%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:
Wisconsin
County:
Milwaukee
Metro Area:
Milwaukee Area
Village:
Brown Deer
ZIP Codes:
53209, 53223
Unified School District:
Brown Deer
Neighborhood:
Brown Deer Park
Congressional District:
WI-4
State Senate District:
WI-8
Assembly District:
WI-24