Employment Status in Brown Deer, Wisconsin (Village)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.122486%0.052588%0.122486%0.1%1262.355823%63.217047%62.355823%62.4%6,1094.123711%3.680194%4.123711%4.1%40433.397979%33.050171%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 Wisconsin and Brown Deer
Brown Deer
Wisconsin
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 Wisconsin and Brown Deer
More Females More Males
Wisconsin
Brown Deer
400%200%0%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-447.058824%-447.058824%447.1%33.319697%0.1830.189317-333.333333%-333.333333%333.3%19.770004%0.2310.236515-32.051282%-32.051282%32.1%12.422958%0.7570.7610378158.666667%10.610991%158.666667%158.7%2.5872.597519421.008403%12.843386%21.008403%21.0%1.2101.21119144-2.346041%-2.346041%2.3%5.373170%0.9770.98349341-9.544787%-9.544787%9.5%6.258924%0.9130.91746681-12.288786%-12.288786%12.3%12.145197%0.8910.89731651-25.233645%-25.233645%25.2%11.420489%0.7990.80268214-15.286624%-15.286624%15.3%9.572320%0.8670.87362314-130.769231%-130.769231%130.8%0.677386%0.4330.4318078-4.545455%45.945946%45.945946%45.9%1.4591.463754-58.536585%-8.557156%-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 places in Wisconsin.
Scope: population of Wisconsin, Brown Deer, and selected other places in Wisconsins
Brown Deer
Wisconsin
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 places in Wisconsin.
Scope: population of Wisconsin, Brown Deer, and selected other places in Wisconsins
Brown Deer
Wisconsin
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 Wisconsin and Brown Deer
Brown Deer
Wisconsin
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%28.336321%33.049206%33.0%8535.617978%7.315031%5.617978%5.6%1450.348702%1.346679%0.348702%0.3%90.000000%0.000000%0.0%0.421196%027.469973%29.388604%27.469973%27.5%7095.966680%8.948423%5.966680%6.0%1547.593956%6.685445%7.593956%7.6%19619.953506%17.558301%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 Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%20%40%60%80%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work84.707051%75.726634%84.707051%84.7%85314.399206%19.548858%14.399206%14.4%1450.893744%3.598895%0.893744%0.9%90.000000%0.000000%0.0%1.125613%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 Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work45.044473%46.961075%45.044473%45.0%7099.783990%14.298998%9.783990%9.8%15412.452351%10.682906%12.452351%12.5%19632.719187%28.057021%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 Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.935290%85.899471%83.935290%83.9%2,23175.863470%79.335494%75.863470%75.9%1,86777.596899%73.240943%77.596899%77.6%1,00138.961039%53.971506%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 Wisconsin and Brown Deer
Female Male
Wisconsin
Brown Deer
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%%MixedHispanic1OtherBlackAsianWhite-15.254237%-36.884940%-15.254237%15.3%15.254237%42.049133%36.884940%1.081481%57.303371%57.3%40.541%40.5%-9.615385%-53.241758%-26.217320%-11.558109%-62.857143%62.9%9.615385%26.217320%9.615385%9.6%40.164%40.2%-19.101124%-14.941430%-28.578484%-11.732365%-34.042553%34.0%19.101124%28.578484%19.101124%19.1%26.776%26.8%-20.215311%-7.539791%-40.655238%-27.755102%27.8%20.215311%40.655238%9.842899%20.215311%20.2%25.022%25.0%-14.782609%-17.619626%-25.169918%-11.126036%-32.402235%32.4%14.782609%25.169918%14.782609%14.8%25.510%25.5%-21.634615%-2.667061%-21.005369%-4.101893%-24.301676%24.3%21.634615%21.005369%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 Wisconsin and Brown Deer
Female Male
Wisconsin
Brown Deer
Shaded bar tips show excess over facing bar.
10%5%0%5%10%%BlackAsianWhiteHispanic1MixedOther-8.253589%-1.542330%-10.033855%-9.795918%9.8%8.253589%10.033855%0.760993%8.253589%8.3%9.237%9.24%-0.000000%-3.755352%0.000000%0.0%0.000000%9.565217%3.755352%0.097453%9.565217%9.6%3.741%3.74%-3.072626%-3.193640%-3.072626%3.1%3.072626%1.298004%3.193640%1.151683%4.370629%4.4%3.742%3.74%-0.000000%-5.233147%0.000000%0.0%0.000000%0.000000%5.233147%1.521929%0.000000%0.0%0.000%0%-0.000000%-7.124691%0.000000%0.0%0.000000%0.000000%7.124691%1.828575%0.000000%0.0%0.000%0%-0.000000%-6.426249%0.000000%0.0%0.000000%0.000000%6.426249%0.076760%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 Wisconsin and Brown Deer
Female Male
Wisconsin
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%-0.020773%0.000000%0.00%0.000000%0.524476%0.020773%0.089901%0.524476%0.52%0.271%0.27%-0.000000%-0.013399%0.000000%0.00%0.000000%0.000000%0.013399%0.169097%0.000000%0.00%0.000%0%-0.000000%-0.033937%0.000000%0.00%0.000000%0.000000%0.033937%0.043367%0.000000%0.00%0.000%0%-0.000000%-0.005786%0.000000%0.00%0.000000%0.000000%0.005786%0.036442%0.000000%0.00%0.000%0%-0.000000%-0.010173%0.000000%0.00%0.000000%0.000000%0.010173%0.151329%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.058536%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 Wisconsin and Brown Deer
Female Male
Wisconsin
Brown Deer
Shaded bar tips show excess over facing bar.
50%0%50%%WhiteAsianBlackOtherHispanic1Mixed-75.698324%-74.892738%-75.698324%75.7%75.698324%2.667061%74.892738%4.101893%78.365385%78.4%77.074%77.1%-67.597765%-63.704047%-67.597765%67.6%67.597765%17.619626%63.704047%11.126036%85.217391%85.2%74.490%74.5%-72.244898%-49.501863%-9.842899%-72.244898%72.2%72.244898%7.539791%49.501863%79.784689%79.8%74.978%75.0%-65.957447%-59.689151%-65.957447%66.0%65.957447%14.941430%59.689151%11.732365%80.898876%80.9%73.224%73.2%-37.142857%-62.224571%-37.142857%37.1%37.142857%53.241758%62.224571%11.558109%90.384615%90.4%59.836%59.8%-42.696629%-42.049133%-62.033579%-1.081481%-84.745763%84.7%42.696629%62.033579%42.696629%42.7%59.459%59.5%
% percentage of both sexes combined
1white Hispanic

Employment Status by Place in the Milwaukee Area

There are 64 places in the Milwaukee Area. This section compares Brown Deer to all of the places in the Milwaukee Area and to those entities that contain or substantially overlap with Brown Deer.

Employed Working-Age Men by Place#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
0%50%100%Count#Okauchee LakeFredoniaRiver HillsAllentonLannonWaubekaOconomowoc LakeOconomowoc LkHartlandMuskegoNorth PrairieSlingerMequonGermantownSummitWhitefish BayRichfieldNew BerlinSussexDousmanPewaukeeWalesBaysideElm GroveOak CreekFox PointWest BendMenomonee FallsButlerNewburgMukwonagoOconomowocWauwatosaCedarburgHales CornersBrown Deer School DistrictBrown DeerBrown DeerWaukeshaWisconsinWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMidwestSaukvilleUnited States of AmericaUnited StatesEast North CentralWest MilwaukeeW MilwaukeeBelgiumMilwaukee CountyMilwaukeeCudahyMilwaukeeChenequaFranklin100.000000%100.000000%100.0%2961100.000000%100.000000%100.0%1412100.000000%100.000000%100.0%583100.000000%100.000000%100.0%134100.000000%100.000000%100.0%805100.000000%100.000000%100.0%436100.000000%100.000000%100.0%16798.222940%98.222940%98.2%608898.058902%98.058902%98.1%1,465997.619048%97.619048%97.6%1231097.577093%97.577093%97.6%4431196.724138%96.724138%96.7%1,1221296.606156%96.606156%96.6%1,2241396.581197%96.581197%96.6%2261496.371681%96.371681%96.4%1,0891595.906433%95.906433%95.9%6561695.799458%95.799458%95.8%2,1211795.539033%95.539033%95.5%7711895.348837%95.348837%95.3%1231995.257732%95.257732%95.3%4622094.943820%94.943820%94.9%1692194.685990%94.685990%94.7%1962294.674556%94.674556%94.7%3202394.341801%94.341801%94.3%2,4512493.939394%93.939394%93.9%4032593.692565%93.692565%93.7%2,2432693.540670%93.540670%93.5%1,9552793.457944%93.457944%93.5%1002893.421053%93.421053%93.4%712993.256579%93.256579%93.3%5673092.846154%92.846154%92.8%1,2073291.573927%91.573927%91.6%2,8803691.304348%91.304348%91.3%6933790.306122%90.306122%90.3%3544189.178082%89.178082%89.2%65189.178082%89.178082%89.2%6514387.752248%87.752248%87.8%4,3924686.186197%86.186197%86.2%301,656302k85.839844%85.839844%85.8%3,5165085.834369%85.834369%85.8%82,20182.2k84.507990%84.507990%84.5%3,510,6363.51M84.158416%84.158416%84.2%2555583.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M82.196970%82.196970%82.2%2175981.818182%81.818182%81.8%1356081.460511%81.460511%81.5%47,62147.6k78.614200%78.614200%78.6%9196178.119364%78.119364%78.1%27,72327.7k6275.000000%75.000000%75.0%156372.924458%72.924458%72.9%1,95064
Count number of employed 35 to 44 year old men
# rank of place out of 64 by percentage employed 35 to 44 year old men

Employment Status by Place in Wisconsin

There are 779 places in Wisconsin. This section compares Brown Deer to the 50 most populous places in Wisconsin and to those entities that contain or substantially overlap with Brown Deer. The least populous of the compared places has a population of 16,289.

Employed Working-Age Men by Place#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
0%20%40%60%80%Count#MuskegoMequonGermantownNew BerlinOak CreekWest BendMenomonee FallsStevens PointHowardDe PereOconomowocMenashaBrookfieldWauwatosaNeenahWatertownMount PleasantMt PleasantCaledoniaSun PrairieBrown Deer School DistrictBrown DeerBrown DeerAppletonManitowocMadisonBeaver DamWaukeshaMiddletonSouth MilwaukeeS MilwaukeeWisconsin RapidsOnalaskaEau ClaireSheboyganWisconsinWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeGreenfieldJanesvilleMidwestUnited States of AmericaUnited StatesMarshfieldMenomonieEast North CentralFond 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%1,955793.407534%93.407534%93.4%1,091893.065998%93.065998%93.1%1,114992.941999%92.941999%92.9%1,3301092.846154%92.846154%92.8%1,2071192.789969%92.789969%92.8%8881292.424942%92.424942%92.4%2,0011391.573927%91.573927%91.6%2,8801491.207349%91.207349%91.2%1,3901590.460526%90.460526%90.5%1,3751690.369800%90.369800%90.4%1,1731790.359712%90.359712%90.4%1,2561890.322581%90.322581%90.3%2,0441989.178082%89.178082%89.2%65189.178082%89.178082%89.2%65189.034370%89.034370%89.0%4,3522088.790723%88.790723%88.8%1,6082188.756525%88.756525%88.8%13,26213.3k2288.347458%88.347458%88.3%8342387.752248%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%8432886.548292%86.548292%86.5%3,2172986.371047%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%16,918,49516.9M83.814433%83.814433%83.8%8133483.472454%83.472454%83.5%5003583.320331%83.320331%83.3%2,401,9262.40M82.684755%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 place out of 50 by percentage employed 35 to 44 year old men

Employment Status by Place in the Midwest

There are 9,721 places in the Midwest. This section compares Brown Deer to the 50 most populous places in the Midwest and to those entities that contain or substantially overlap with Brown Deer. The least populous of the compared places has a population of 95,520.

Employed Working-Age Men by Place#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
0%20%40%60%80%Count#Overland ParkOlatheNapervilleAuroraSioux FallsElginAnn ArborBrown Deer School DistrictBrown DeerBrown DeerMadisonColumbiaSterling HeightsSterling HtsLincolnFargoIndependenceJolietRochesterCedar RapidsMinneapolisWisconsinOmahaDes MoinesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeKansas CityWichitaMidwestKansas CityDearbornSt. PaulUnited States of AmericaUnited StatesFort WayneChicagoColumbusEast North CentralDavenportSpringfieldIndianapolisWarrenMilwaukee CountyMilwaukeeKenoshaTopekaGreen BayMilwaukeeGrand RapidsSt. LouisPeoriaSouth BendLansingRockfordCincinnatiSpringfieldEvansvilleToledoAkronDaytonClevelandDetroitFlint93.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778293.110647%93.110647%93.1%8,920391.580287%91.580287%91.6%15,10815.1k489.616768%89.616768%89.6%10,21910.2k589.374454%89.374454%89.4%7,158689.300338%89.300338%89.3%5,016789.178082%89.178082%89.2%65189.178082%89.178082%89.2%65188.756525%88.756525%88.8%13,26213.3k888.663711%88.663711%88.7%5,600987.982401%87.982401%88.0%6,9991087.795961%87.795961%87.8%15,12915.1k1187.656994%87.656994%87.7%6,0721287.272456%87.272456%87.3%5,8491387.125723%87.125723%87.1%10,09710.1k1486.429366%86.429366%86.4%6,2161586.368701%86.368701%86.4%6,9761686.339842%86.339842%86.3%24,41024.4k1786.186197%86.186197%86.2%301,656302k86.096143%86.096143%86.1%24,28624.3k1885.885290%85.885290%85.9%11,69511.7k1985.834369%85.834369%85.8%82,20182.2k85.391377%85.391377%85.4%26,52026.5k2085.168183%85.168183%85.2%19,85119.9k2184.507990%84.507990%84.5%3,510,6363.51M84.492648%84.492648%84.5%8,1022284.050982%84.050982%84.1%4,8802383.979482%83.979482%84.0%15,55315.6k2483.826751%83.826751%83.8%16,918,49516.9M83.715425%83.715425%83.7%13,43813.4k2583.502988%83.502988%83.5%160,537161k2683.389400%83.389400%83.4%46,60346.6k2783.320331%83.320331%83.3%2,401,9262.40M83.301466%83.301466%83.3%5,2282882.023792%82.023792%82.0%5,5852981.817673%81.817673%81.8%43,84243.8k3081.783681%81.783681%81.8%6,4653181.460511%81.460511%81.5%47,62147.6k81.179690%81.179690%81.2%5,3403280.647875%80.647875%80.6%5,7513379.275686%79.275686%79.3%4,9693478.119364%78.119364%78.1%27,72327.7k3577.964562%77.964562%78.0%8,5803677.165002%77.165002%77.2%15,53115.5k3776.924252%76.924252%76.9%5,0373876.574394%76.574394%76.6%4,4263976.287206%76.287206%76.3%5,4084076.067678%76.067678%76.1%6,5194175.413111%75.413111%75.4%12,45912.5k4274.964516%74.964516%75.0%6,8664374.099067%74.099067%74.1%5,1614473.599363%73.599363%73.6%12,00712.0k4571.832579%71.832579%71.8%8,2554664.663494%64.663494%64.7%4,7564764.097134%64.097134%64.1%13,62013.6k4858.323492%58.323492%58.3%22,22322.2k4950.996906%50.996906%51.0%2,96750
Count number of employed 35 to 44 year old men
# rank of place out of 50 by percentage employed 35 to 44 year old men

Employment Status by Place in the United States

There are 29,322 places in the United States. This section compares Brown Deer to the 50 most populous places in the United States and to those entities that contain or substantially overlap with Brown Deer. The least populous of the compared places has a population of 383,899.

Employed Working-Age Men by Place#35

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Brown Deer, selected other places in the United States, and entities that contain Brown Deer
0%20%40%60%80%Count#AustinSan JoseRaleighBrown Deer School DistrictBrown DeerBrown DeerVirginia BeachVirginia BchCharlotteColorado SpringsColorado SpgsSeattleDenverArlingtonSan FranciscoMesaFort WorthHoustonDallasSan DiegoMinneapolisNashville-DavidsonWisconsinOklahoma CityOmahaPortlandMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeLos AngelesKansas CityWichitaWashingtonNew YorkMidwestLong BeachSan AntonioEl PasoUnited States of AmericaUnited StatesPhoenixTulsaChicagoColumbusEast North CentralAlbuquerqueOaklandMiamiLas VegasBostonJacksonvilleLouisvilleIndianapolisMilwaukee CountyMilwaukeeSacramentoAtlantaMilwaukeeMemphisTucsonBaltimoreFresnoPhiladelphiaClevelandDetroit91.468530%91.468530%91.5%68,47768.5k189.320641%89.320641%89.3%68,68468.7k289.191276%89.191276%89.2%28,87328.9k389.178082%89.178082%89.2%65189.178082%89.178082%89.2%65188.943370%88.943370%88.9%25,75825.8k488.885729%88.885729%88.9%53,13553.1k588.780231%88.780231%88.8%25,32925.3k688.554782%88.554782%88.6%49,09349.1k788.135281%88.135281%88.1%47,89847.9k887.702524%87.702524%87.7%21,92321.9k987.587463%87.587463%87.6%63,96664.0k1087.579210%87.579210%87.6%25,29225.3k1187.576161%87.576161%87.6%50,02050.0k1286.684779%86.684779%86.7%140,386140k1386.615474%86.615474%86.6%79,18379.2k1486.562128%86.562128%86.6%82,85982.9k1586.339842%86.339842%86.3%24,41024.4k1686.274817%86.274817%86.3%38,58938.6k1786.186197%86.186197%86.2%301,656302k86.114554%86.114554%86.1%35,43735.4k1886.096143%86.096143%86.1%24,28624.3k1986.079669%86.079669%86.1%45,70445.7k2085.834369%85.834369%85.8%82,20182.2k85.431073%85.431073%85.4%247,956248k2185.391377%85.391377%85.4%26,52026.5k2285.168183%85.168183%85.2%19,85119.9k2384.835284%84.835284%84.8%39,14339.1k2484.582308%84.582308%84.6%481,928482k2584.507990%84.507990%84.5%3,510,6363.51M84.488204%84.488204%84.5%27,28827.3k2684.318142%84.318142%84.3%77,48577.5k2784.026577%84.026577%84.0%34,01934.0k2883.826751%83.826751%83.8%16,918,49516.9M83.807637%83.807637%83.8%91,35291.4k2983.792746%83.792746%83.8%20,21520.2k3083.502988%83.502988%83.5%160,537161k3183.389400%83.389400%83.4%46,60346.6k3283.320331%83.320331%83.3%2,401,9262.40M82.924639%82.924639%82.9%29,55629.6k3382.591888%82.591888%82.6%26,92026.9k3482.526111%82.526111%82.5%29,63129.6k3582.429827%82.429827%82.4%35,06435.1k3682.260151%82.260151%82.3%33,06233.1k3782.226023%82.226023%82.2%43,75043.8k3882.026204%82.026204%82.0%31,11531.1k3981.817673%81.817673%81.8%43,84243.8k4081.460511%81.460511%81.5%47,62147.6k78.811232%78.811232%78.8%25,25925.3k4178.418879%78.418879%78.4%26,58426.6k4278.119364%78.119364%78.1%27,72327.7k4376.471194%76.471194%76.5%29,69329.7k4475.848098%75.848098%75.8%23,58823.6k4574.017917%74.017917%74.0%26,60526.6k4674.016447%74.016447%74.0%22,50122.5k4773.120938%73.120938%73.1%66,83466.8k4864.097134%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 place 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
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
Neighboring Cities:
Mequon, Milwaukee
Neighboring Villages:
River Hills
Nearby Cities:
Cedarburg, Glendale, Wauwatosa
Nearby Villages:
Bayside, Butler, Fox Point, Menomonee Falls, Shorewood, Thiensville, Whitefish Bay