Industries in Brown Deer, Milwaukee County, Wisconsin (Village)

Industry#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
0%5%10%15%20%CountHealthcare1ManufacturingRetailEducationFinance & InsuranceHospitalityProfessional2Government3InformationAdministrative4TransportationOther ServicesReal estateWholesalersEntertainment5ConstructionAgriculture6Oil & Gas, and MiningOil & Gas, and Mi…UtilitiesManagement723.539041%17.262638%23.539041%23.5%1,43813.422819%15.014175%13.422819%13.4%82010.869209%10.279926%10.869209%10.9%6647.611720%9.418104%7.611720%7.6%4657.022426%5.352310%7.022426%7.0%4296.989687%7.666043%6.989687%7.0%4275.942053%5.358082%5.942053%5.9%3633.715829%3.468823%3.715829%3.7%2273.699460%1.764937%3.699460%3.7%2263.683091%4.975346%3.683091%3.7%2253.666721%3.844011%3.666721%3.7%2242.995580%4.375712%2.995580%3.0%1832.177116%1.404401%2.177116%2.2%1331.898838%2.462698%1.898838%1.9%1161.718776%2.368790%1.718776%1.7%1051.047635%3.673955%1.047635%1.0%640.000000%0.000000%0.0%0.406047%00.000000%0.000000%0.0%0.040405%00.000000%0.000000%0.0%0.684662%00.000000%0.000000%0.0%0.178936%0

Relative Industry#2

Percentage more or less common in Brown Deer than in Milwaukee County, among the civilian employed population aged 16 and older.
Scope: population of Milwaukee County and Brown Deer
Less Common
More Common
100%0%100%%ref.InformationReal estateHealthcare1Finance & InsuranceProfessional2Government3RetailTransportationHospitalityManufacturingEducationWholesalersAdministrative4Entertainment5Other ServicesConstructionAgriculture6Oil & Gas, and MiningOil & Gas, and Mi…UtilitiesManagement7109.608601%109.608601%109.6%3.699%3.70%1.765%1.76%55.020896%55.020896%55.0%2.177%2.18%1.404%1.40%36.358305%36.358305%36.4%23.539%23.5%17.263%17.3%31.203640%31.203640%31.2%7.022%7.02%5.352%5.35%10.898867%10.898867%10.9%5.942%5.94%5.358%5.36%7.120754%7.120754%7.1%3.716%3.72%3.469%3.47%5.732373%5.732373%5.7%10.869%10.9%10.280%10.3%-4.612095%-4.612095%4.6%3.667%3.67%3.844%3.84%-8.822746%-8.822746%8.8%6.990%6.99%7.666%7.67%-10.599025%-10.599025%10.6%13.423%13.4%15.014%15.0%-19.179903%-19.179903%19.2%7.612%7.61%9.418%9.42%-22.896026%-22.896026%22.9%1.899%1.90%2.463%2.46%-25.973184%-25.973184%26.0%3.683%3.68%4.975%4.98%-27.440769%-27.440769%27.4%1.719%1.72%2.369%2.37%-31.540732%-31.540732%31.5%2.996%3.00%4.376%4.38%-71.484827%-71.484827%71.5%1.048%1.05%3.674%3.67%-100.000000%-100.000000%100.0%0.000%0%0.406%0.41%-100.000000%-100.000000%100.0%0.000%0%0.040%0.04%-100.000000%-100.000000%100.0%0.000%0%0.685%0.68%-100.000000%-100.000000%100.0%0.000%0%0.179%0.18%

Sex Ratio by Industry#3

Sex ratio by industry among the civilian employed population aged 16 and older.
Scope: population of Milwaukee County and Brown Deer
Female Male
Milwaukee County
Brown Deer
2x1x0x1x2xFMManufacturingWholesalersTransportationInformationRetailHospitalityEntertainment1Administrative2All IndustriesProfessional3Government4Finance & InsuranceEducationHealthcare5-1.000000x-1.000000x-1.000000x2.628319x2.453329x2.628319x2.63x226594-1.000000x-1.000000x-1.000000x2.222222x2.279042x2.222222x2.22x3680-1.000000x-1.000000x-1.000000x2.111111x2.569367x2.111111x2.11x72152-1.000000x-1.000000x-1.000000x1.790123x1.341679x1.790123x1.79x81145-1.000000x-1.023731x-1.000000x1.338028x1.000000x1.338028x1.34x284380-1.000000x-1.013469x-1.000000x1.247368x1.000000x1.247368x1.25x190237-1.000000x-1.000000x-1.000000x1.142857x1.110781x1.142857x1.14x4956-1.027027x-1.000000x-1.027027x1.03x1.000000x1.128098x1.000000x114111-1.142757x-1.017020x-1.142757x1.14x1.000000x1.000000x1.000000x3,2582,851-1.283019x-1.000000x-1.283019x1.28x1.000000x1.257084x1.000000x204159-1.873418x-1.000000x-1.873418x1.87x1.000000x1.260234x1.000000x14879-1.938356x-1.577125x-1.938356x1.94x1.000000x1.000000x1.000000x283146-2.549618x-2.044349x-2.549618x2.55x1.000000x1.000000x1.000000x334131-2.784211x-3.731532x-2.784211x2.78x1.000000x1.000000x1.000000x1,058380

Sex Ratio by Industry#4

Sex ratio by industry among the civilian employed population aged 16 and older.
Scope: population of Milwaukee County and Brown Deer
Female Male
Milwaukee County
Brown Deer
8x6x4x2x0x2x4x6x8xFMConstructionReal estateOther Services-1.000000x-1.000000x-1.000000x8.142857x9.017554x8.142857x8.14x757-1.000000x-1.000000x-1.000000x3.156250x1.199583x3.156250x3.16x32101-3.255814x-1.164507x-3.255814x3.26x1.000000x1.000000x1.000000x14043

Part Timers by Industry#5

Part time and seasonal workers as a percentage of total workforce within an industry.
Scope: population of Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
0%20%40%60%80%PartFullEntertainment1Other ServicesHospitalityRetailAdministrative2TransportationInformationAll IndustriesProfessional3Healthcare4Finance & InsuranceEducationGovernment5ManufacturingConstructionWholesalersReal estate80.000000%51.921275%80.000000%80.0%842152.459016%41.577879%52.459016%52.5%968751.990632%56.971996%51.990632%52.0%22220543.373494%44.381816%43.373494%43.4%28837637.333333%40.426576%37.333333%37.3%8414133.928571%29.292521%33.928571%33.9%7614829.646018%25.622642%29.646018%29.6%6715926.812899%32.673091%26.812899%26.8%1,6384,47125.895317%23.430702%25.895317%25.9%9426924.061196%34.364310%24.061196%24.1%3461,09223.543124%15.064914%23.543124%23.5%10132821.720430%42.375598%21.720430%21.7%10136415.418502%12.345600%15.418502%15.4%351925.243902%14.947509%5.243902%5.2%437771.562500%34.890326%1.562500%1.6%1630.000000%0.000000%0.0%19.841341%01160.000000%0.000000%0.0%31.441669%0133

Median Income by Industry#6

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
$0k$20k$40k$60k$80k%CountWholesalersProfessional1InformationReal estateConstructionManufacturingFinance & InsuranceEducationAll IndustriesGovernment2Healthcare3TransportationAdministrative4Other ServicesRetailHospitality$83,529.000000$46,542.000000$83,529.000000$83.5k1.899%1.90%116$64,417.000000$60,429.000000$64,417.000000$64.4k5.942%5.94%363$62,596.000000$51,637.000000$62,596.000000$62.6k3.699%3.70%226$55,295.000000$40,501.000000$55,295.000000$55.3k2.177%2.18%133$53,942.000000$45,547.000000$53,942.000000$53.9k1.048%1.05%64$53,494.000000$42,538.000000$53,494.000000$53.5k13.423%13.4%820$50,784.000000$52,478.000000$50,784.000000$50.8k7.022%7.02%429$47,368.000000$48,818.000000$47,368.000000$47.4k7.612%7.61%465$46,217.000000$42,214.000000$46,217.000000$46.2k100.000%100%6,109$46,184.000000$55,980.000000$46,184.000000$46.2k3.716%3.72%227$43,544.000000$40,039.000000$43,544.000000$43.5k23.539%23.5%1,438$41,023.000000$44,607.000000$41,023.000000$41.0k3.667%3.67%224$40,795.000000$30,931.000000$40,795.000000$40.8k3.683%3.68%225$37,438.000000$35,070.000000$37,438.000000$37.4k2.996%3.00%183$27,262.000000$31,610.000000$27,262.000000$27.3k10.869%10.9%664$21,125.000000$23,275.000000$21,125.000000$21.1k6.990%6.99%427

Industries 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.

Agriculture1 Industry by County Subdivision#7

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in the Milwaukee Area, and entities that contain Brown Deer
0%1%2%3%4%Count#Town of CedarburgCedarburgWisconsinSummitMidwestUnited States of AmericaUnited StatesTown of OconomowocOconomowocEast North CentralWhitefish BayDelafieldHartfordTown of WaukeshaWaukeshaWest BendSlingerRichfieldCudahyGlendaleSt. FrancisPort WashingtonHartlandMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeMukwonagoMenomonee FallsOak CreekTown of VernonVernonMequonMilwaukeeCedarburgNew BerlinMilwaukee CountyMilwaukeeGermantownMuskegoTown of MertonMertonWest AllisGreenfieldFox PointWauwatosaHales CornersBrookfieldWaukeshaTown of DelafieldDelafieldTown of GeneseeGeneseeShorewoodPewaukeeOconomowocGreendaleTown of LisbonLisbonGraftonFranklinBrown DeerBrown Deer School DistrictBrown DeerBrown DeerSussexPewaukeeTown of MukwonagoMukwonagoJacksonTown of BrookfieldBrookfieldElm Grove4.614392%4.614392%4.6%14312.312514%2.312514%2.3%67,30267.3k2.304527%2.304527%2.3%5621.659533%1.659533%1.7%539,487539k1.326306%1.326306%1.3%1,962,9511.96M1.136364%1.136364%1.1%5531.125012%1.125012%1.1%247,559248k1.077556%1.077556%1.1%7641.061008%1.061008%1.1%4051.059691%1.059691%1.1%7961.020621%1.020621%1.0%4970.999639%0.999639%1.0%16680.906555%0.906555%0.9%2690.796154%0.796154%0.8%53100.785180%0.785180%0.8%64110.666465%0.666465%0.7%44120.627496%0.627496%0.6%33130.590980%0.590980%0.6%38140.579524%0.579524%0.6%27150.539813%0.539813%0.5%4,2120.519240%0.519240%0.5%56160.515211%0.515211%0.5%21170.473736%0.473736%0.5%91180.472987%0.472987%0.5%90190.447269%0.447269%0.4%19200.429722%0.429722%0.4%48210.423938%0.423938%0.4%1,132220.416528%0.416528%0.4%25230.410214%0.410214%0.4%89240.406047%0.406047%0.4%1,8290.405605%0.405605%0.4%44250.371071%0.371071%0.4%51260.365319%0.365319%0.4%15270.339141%0.339141%0.3%109280.318626%0.318626%0.3%59290.298240%0.298240%0.3%10300.282235%0.282235%0.3%73310.267738%0.267738%0.3%12320.248099%0.248099%0.2%46330.244505%0.244505%0.2%97340.225632%0.225632%0.2%10350.192446%0.192446%0.2%8360.187718%0.187718%0.2%14370.184032%0.184032%0.2%13380.179319%0.179319%0.2%15390.174927%0.174927%0.2%12400.158954%0.158954%0.2%9410.109392%0.109392%0.1%7420.083037%0.083037%0.1%14430.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050

Construction Income by County Subdivision#27

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in the Milwaukee Area, and entities that contain Brown Deer
$0k$100k$200k%Count#ShorewoodSlingerCedarburgTown of CedarburgCedarburgTown of LisbonLisbonGermantownTown of VernonVernonJacksonTown of MukwonagoMukwonagoOak CreekNew BerlinGreendaleMukwonagoSussexHartlandMuskegoFranklinPewaukeeWauwatosaElm GroveMequonPewaukeeTown of OconomowocOconomowocWhitefish BayHartfordDelafieldGreenfieldOconomowocWaukeshaBrookfieldSummitBrown DeerBrown Deer School DistrictBrown DeerBrown DeerSt. FrancisMenomonee FallsFox PointGlendaleSouth MilwaukeeS MilwaukeeMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTown of MertonMertonTown of GeneseeGeneseeGraftonWisconsinTown of WaukeshaWaukeshaWest BendEast North CentralRichfieldTown of DelafieldDelafieldMidwestTown of BrookfieldBrookfieldWest AllisMilwaukee CountyMilwaukeeCudahyUnited States of AmericaUnited StatesMilwaukeePort WashingtonHales Corners$205,370.000000$205,370.000000$205.4k1.797%1.80%1341$107,730.000000$107,730.000000$107.7k6.416%6.42%1842$105,655.000000$105,655.000000$105.7k1.683%1.68%1013$88,102.000000$88,102.000000$88.1k4.840%4.84%1504$75,078.000000$75,078.000000$75.1k7.277%7.28%4125$71,836.000000$71,836.000000$71.8k3.992%3.99%4336$68,125.000000$68,125.000000$68.1k10.146%10.1%4317$67,917.000000$67,917.000000$67.9k2.406%2.41%918$66,886.000000$66,886.000000$66.9k10.962%11.0%4569$65,577.000000$65,577.000000$65.6k2.801%2.80%53310$65,478.000000$65,478.000000$65.5k3.876%3.88%84111$65,423.000000$65,423.000000$65.4k5.743%5.74%39412$65,192.000000$65,192.000000$65.2k6.992%6.99%28513$62,361.000000$62,361.000000$62.4k5.312%5.31%31414$62,262.000000$62,262.000000$62.3k6.074%6.07%28315$62,099.000000$62,099.000000$62.1k7.232%7.23%99416$62,000.000000$62,000.000000$62.0k3.138%3.14%52917$61,845.000000$61,845.000000$61.8k4.870%4.87%34418$61,691.000000$61,691.000000$61.7k2.587%2.59%66919$61,417.000000$61,417.000000$61.4k4.222%4.22%12320$61,367.000000$61,367.000000$61.4k3.599%3.60%40221$59,750.000000$59,750.000000$59.8k5.128%5.13%24522$59,265.000000$59,265.000000$59.3k5.930%5.93%28723$58,571.000000$58,571.000000$58.6k3.360%3.36%23724$57,208.000000$57,208.000000$57.2k5.956%5.96%44425$55,300.000000$55,300.000000$55.3k4.987%4.99%18826$55,294.000000$55,294.000000$55.3k3.737%3.74%69227$55,189.000000$55,189.000000$55.2k5.117%5.12%42828$54,566.000000$54,566.000000$54.6k4.656%4.66%1,84729$54,468.000000$54,468.000000$54.5k3.387%3.39%62830$54,444.000000$54,444.000000$54.4k8.107%8.11%19731$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%6432$53,021.000000$53,021.000000$53.0k4.050%4.05%21333$52,336.000000$52,336.000000$52.3k3.254%3.25%62534$51,932.000000$51,932.000000$51.9k4.235%4.24%14235$51,711.000000$51,711.000000$51.7k1.772%1.77%11736$51,563.000000$51,563.000000$51.6k4.256%4.26%45937$51,423.000000$51,423.000000$51.4k4.383%4.38%34,19634.2k$51,250.000000$51,250.000000$51.3k7.891%7.89%32438$50,972.000000$50,972.000000$51.0k5.725%5.73%23839$50,117.000000$50,117.000000$50.1k5.516%5.52%35340$48,860.000000$48,860.000000$48.9k5.329%5.33%155,081155k$48,750.000000$48,750.000000$48.8k5.686%5.69%27341$48,421.000000$48,421.000000$48.4k6.245%6.24%1,03742$47,199.000000$47,199.000000$47.2k5.220%5.22%1,148,6781.15M$46,844.000000$46,844.000000$46.8k6.805%6.80%45343$46,522.000000$46,522.000000$46.5k4.829%4.83%21444$46,303.000000$46,303.000000$46.3k5.530%5.53%1,797,5651.80M$46,136.000000$46,136.000000$46.1k6.642%6.64%19445$45,776.000000$45,776.000000$45.8k4.932%4.93%1,58546$45,547.000000$45,547.000000$45.5k3.674%3.67%16,54916.5k$42,813.000000$42,813.000000$42.8k4.466%4.47%36447$42,191.000000$42,191.000000$42.2k6.254%6.25%9,256,6379.26M$41,048.000000$41,048.000000$41.0k3.778%3.78%10,08910.1k48$39,531.000000$39,531.000000$39.5k3.733%3.73%24049$25,952.000000$25,952.000000$26.0k4.195%4.19%18850

Industries 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.

Agriculture1 Industry by County Subdivision#42

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in Wisconsin, and entities that contain Brown Deer
0.0%0.5%1.0%1.5%2.0%Count#WisconsinWisconsin RapidsGreen BayMidwestStevens PointUnited States of AmericaUnited StatesTown of MenashaMenashaEast North CentralMenomonieRacineFond du LacSuperiorSheboyganWest BendMarshfieldManitowocMount PleasantMt PleasantCudahySun PrairieKenoshaPleasant PrairieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeOnalaskaBeloitSouth MilwaukeeS MilwaukeeAshwaubenonMenomonee FallsOak CreekBeaver DamLa CrosseMequonMilwaukeeNeenahOshkoshJanesvilleNew BerlinMilwaukee CountyMilwaukeeGermantownMadisonMuskegoDe PereTown of Grand ChuteGrand ChuteCaledoniaWest AllisMiddletonGreenfieldEau ClaireFitchburgWauwatosaBrookfieldWaukeshaWausauOconomowocAppletonFranklinBrown DeerBrown Deer School DistrictBrown DeerBrown DeerHoward2.312514%2.312514%2.31%67,30267.3k2.265731%2.265731%2.27%18411.803522%1.803522%1.80%93521.659533%1.659533%1.66%539,487539k1.339286%1.339286%1.34%19531.326306%1.326306%1.33%1,962,9511.96M1.126236%1.126236%1.13%11541.125012%1.125012%1.13%247,559248k1.078926%1.078926%1.08%9251.063229%1.063229%1.06%35861.028926%1.028926%1.03%21271.008505%1.008505%1.01%13481.004381%1.004381%1.00%24390.999639%0.999639%1.00%166100.964430%0.964430%0.96%93110.961779%0.961779%0.96%154120.842040%0.842040%0.84%108130.785180%0.785180%0.79%64140.728056%0.728056%0.73%125150.669589%0.669589%0.67%307160.630418%0.630418%0.63%64170.539813%0.539813%0.54%4,2120.530680%0.530680%0.53%48180.528506%0.528506%0.53%80190.519240%0.519240%0.52%56200.497183%0.497183%0.50%45210.473736%0.473736%0.47%91220.472987%0.472987%0.47%90230.466465%0.466465%0.47%37240.456112%0.456112%0.46%131250.429722%0.429722%0.43%48260.423938%0.423938%0.42%1,132270.421286%0.421286%0.42%57280.413818%0.413818%0.41%138290.413515%0.413515%0.41%129300.410214%0.410214%0.41%89310.406047%0.406047%0.41%1,8290.405605%0.405605%0.41%44320.388013%0.388013%0.39%556330.371071%0.371071%0.37%51340.365770%0.365770%0.37%48350.360213%0.360213%0.36%44360.359948%0.359948%0.36%44370.339141%0.339141%0.34%109380.321361%0.321361%0.32%34390.318626%0.318626%0.32%59400.296720%0.296720%0.30%110410.285249%0.285249%0.29%42420.282235%0.282235%0.28%73430.248099%0.248099%0.25%46440.244505%0.244505%0.24%97450.189046%0.189046%0.19%35460.179319%0.179319%0.18%15470.134400%0.134400%0.13%43480.083037%0.083037%0.08%14490.000000%0.000000%0.00%00.000000%0.000000%0.00%00.000000%0.000000%0.00%00.000000%0.000000%0.00%050

Construction Income by County Subdivision#62

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in Wisconsin, and entities that contain Brown Deer
$0k$20k$40k$60k%Count#GermantownOak CreekNew BerlinMuskegoFranklinWauwatosaSun PrairieMequonMiddletonAshwaubenonKenoshaHowardMarshfieldPleasant PrairieGreenfieldOconomowocWaukeshaBrookfieldBrown DeerBrown Deer School DistrictBrown DeerBrown DeerMenomonee FallsSuperiorDe PereJanesvilleSouth MilwaukeeS MilwaukeeMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCaledoniaMount PleasantMt PleasantFond du LacWisconsinWest BendBeaver DamEast North CentralMadisonTown of Grand ChuteGrand ChuteMidwestAppletonWest AllisWisconsin RapidsMilwaukee CountyMilwaukeeOshkoshCudahyRacineUnited States of AmericaUnited StatesGreen BayNeenahManitowocMilwaukeeTown of MenashaMenashaLa CrosseEau ClaireFitchburgStevens PointWausauOnalaskaSheboyganMenomonieBeloit$71,836.000000$71,836.000000$71.8k3.992%3.99%4331$65,577.000000$65,577.000000$65.6k2.801%2.80%5332$65,478.000000$65,478.000000$65.5k3.876%3.88%8413$62,099.000000$62,099.000000$62.1k7.232%7.23%9944$62,000.000000$62,000.000000$62.0k3.138%3.14%5295$61,691.000000$61,691.000000$61.7k2.587%2.59%6696$61,602.000000$61,602.000000$61.6k3.483%3.48%5987$61,367.000000$61,367.000000$61.4k3.599%3.60%4028$58,563.000000$58,563.000000$58.6k4.178%4.18%4429$58,036.000000$58,036.000000$58.0k6.441%6.44%58310$56,447.000000$56,447.000000$56.4k4.238%4.24%1,94311$56,389.000000$56,389.000000$56.4k6.066%6.07%61912$56,250.000000$56,250.000000$56.3k4.169%4.17%40213$55,765.000000$55,765.000000$55.8k5.339%5.34%54214$55,294.000000$55,294.000000$55.3k3.737%3.74%69215$55,189.000000$55,189.000000$55.2k5.117%5.12%42816$54,566.000000$54,566.000000$54.6k4.656%4.66%1,84717$54,468.000000$54,468.000000$54.5k3.387%3.39%62818$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%64$52,336.000000$52,336.000000$52.3k3.254%3.25%62519$52,132.000000$52,132.000000$52.1k3.823%3.82%50820$52,083.000000$52,083.000000$52.1k4.961%4.96%65121$51,919.000000$51,919.000000$51.9k4.908%4.91%1,53122$51,563.000000$51,563.000000$51.6k4.256%4.26%45923$51,423.000000$51,423.000000$51.4k4.383%4.38%34,19634.2k$51,250.000000$51,250.000000$51.3k6.062%6.06%74124$51,133.000000$51,133.000000$51.1k5.925%5.93%76025$50,345.000000$50,345.000000$50.3k4.718%4.72%97226$48,860.000000$48,860.000000$48.9k5.329%5.33%155,081155k$48,421.000000$48,421.000000$48.4k6.245%6.24%1,03727$47,351.000000$47,351.000000$47.4k4.778%4.78%37928$47,199.000000$47,199.000000$47.2k5.220%5.22%1,148,6781.15M$46,858.000000$46,858.000000$46.9k2.314%2.31%3,31629$46,689.000000$46,689.000000$46.7k4.986%4.99%60930$46,303.000000$46,303.000000$46.3k5.530%5.53%1,797,5651.80M$45,838.000000$45,838.000000$45.8k4.551%4.55%1,45631$45,776.000000$45,776.000000$45.8k4.932%4.93%1,58532$45,625.000000$45,625.000000$45.6k5.861%5.86%47633$45,547.000000$45,547.000000$45.5k3.674%3.67%16,54916.5k$44,271.000000$44,271.000000$44.3k2.570%2.57%85734$42,813.000000$42,813.000000$42.8k4.466%4.47%36435$42,708.000000$42,708.000000$42.7k3.831%3.83%1,29036$42,191.000000$42,191.000000$42.2k6.254%6.25%9,256,6379.26M$41,558.000000$41,558.000000$41.6k3.862%3.86%2,00237$41,359.000000$41,359.000000$41.4k4.220%4.22%57138$41,250.000000$41,250.000000$41.3k3.379%3.38%54139$41,048.000000$41,048.000000$41.0k3.778%3.78%10,08910.1k40$39,560.000000$39,560.000000$39.6k4.358%4.36%44541$38,725.000000$38,725.000000$38.7k2.657%2.66%76342$37,483.000000$37,483.000000$37.5k3.294%3.29%1,22143$35,699.000000$35,699.000000$35.7k3.634%3.63%53544$34,158.000000$34,158.000000$34.2k2.823%2.82%41145$33,229.000000$33,229.000000$33.2k2.598%2.60%48146$32,464.000000$32,464.000000$32.5k4.433%4.43%40147$32,332.000000$32,332.000000$32.3k2.625%2.62%63548$32,024.000000$32,024.000000$32.0k3.471%3.47%29649$26,250.000000$26,250.000000$26.3k4.519%4.52%68450

Industries 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.

Agriculture1 Industry by County Subdivision#77

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in the Midwest, and entities that contain Brown Deer
0.0%0.5%1.0%1.5%2.0%Count#WisconsinMidwestGrand RapidsUnited States of AmericaUnited StatesEast North CentralFargoOmahaSioux FallsLincolnMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCedar RapidsOlatheToledoMinneapolisKansas CityWichitaMilwaukeeMilwaukee CountyMilwaukeeMadisonAurora TownshipAuroraDetroitCapital TownshipCapitalSpringfield TownshipSpringfieldBlue TownshipWashington TownshipWashingtonOverland ParkSt. LouisNorth TownshipNRockford TownshipRockfordAkronTopekaSterling HeightsSterling HtsLawrence TownshipLawrenceYork TownshipWarrenSt. PaulCenter TownshipCtrAnn ArborKaw TownshipWorth TownshipWorthProviso TownshipProvisoMaine TownshipMaineClevelandChicagoDowners Grove TownshipDowners GrvWheeling TownshipWheelingColumbusThornton TownshipThorntonSchaumburg TownshipSchaumburgMilton TownshipMiltonCincinnatiLisle TownshipLisleBloomingdale TownshipBloomingdaleWayne TownshipWaynePalatine TownshipPalatineDaytonBrown DeerBrown Deer School DistrictBrown DeerBrown Deer2.312514%2.312514%2.31%67,30267.3k1.659533%1.659533%1.66%539,487539k1.569586%1.569586%1.57%1,47111.326306%1.326306%1.33%1,962,9511.96M1.125012%1.125012%1.13%247,559248k1.091729%1.091729%1.09%74120.694392%0.694392%0.69%1,57230.618473%0.618473%0.62%48840.607870%0.607870%0.61%90050.539813%0.539813%0.54%4,2120.536475%0.536475%0.54%37360.489482%0.489482%0.49%34670.478196%0.478196%0.48%57880.476580%0.476580%0.48%1,08990.440866%0.440866%0.44%294100.425831%0.425831%0.43%781110.423938%0.423938%0.42%1,132120.406047%0.406047%0.41%1,8290.388013%0.388013%0.39%556130.371980%0.371980%0.37%255140.368900%0.368900%0.37%816150.345429%0.345429%0.35%188160.328599%0.328599%0.33%261170.322581%0.322581%0.32%226180.305851%0.305851%0.31%229190.303049%0.303049%0.30%301200.299016%0.299016%0.30%446210.285629%0.285629%0.29%192220.266710%0.266710%0.27%199230.262547%0.262547%0.26%233240.262525%0.262525%0.26%155250.260945%0.260945%0.26%166260.249745%0.249745%0.25%152270.241208%0.241208%0.24%150280.210902%0.210902%0.21%123290.207492%0.207492%0.21%310300.192896%0.192896%0.19%118310.191038%0.191038%0.19%114320.189310%0.189310%0.19%170330.180667%0.180667%0.18%127340.160418%0.160418%0.16%116350.156243%0.156243%0.16%106360.145016%0.145016%0.15%217370.143165%0.143165%0.14%1,848380.139886%0.139886%0.14%104390.139860%0.139860%0.14%113400.137999%0.137999%0.14%584410.134191%0.134191%0.13%92420.108240%0.108240%0.11%78430.097893%0.097893%0.10%59440.097837%0.097837%0.10%135450.096046%0.096046%0.10%61460.087345%0.087345%0.09%53470.074806%0.074806%0.07%47480.042736%0.042736%0.04%26490.030761%0.030761%0.03%17500.000000%0.000000%0.00%00.000000%0.000000%0.00%00.000000%0.000000%0.00%0

Construction Income by County Subdivision#97

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in the Midwest, and entities that contain Brown Deer
$0k$20k$40k$60k%Count#Milton TownshipMiltonYork TownshipDowners Grove TownshipDowners GrvLisle TownshipLisleMaine TownshipMaineSchaumburg TownshipSchaumburgBloomingdale TownshipBloomingdalePalatine TownshipPalatineWorth TownshipWorthWheeling TownshipWheelingOverland ParkBrown DeerBrown Deer School DistrictBrown DeerBrown DeerThornton TownshipThorntonCapital TownshipCapitalMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinAnn ArborWashington TownshipWashingtonEast North CentralMadisonMidwestSt. LouisCedar RapidsMilwaukee CountyMilwaukeeSterling HeightsSterling HtsFargoNorth TownshipNWarrenChicagoProviso TownshipProvisoUnited States of AmericaUnited StatesMinneapolisOmahaAkronSt. PaulCincinnatiMilwaukeeColumbusOlatheRockford TownshipRockfordToledoTopekaLincolnSioux FallsClevelandKaw TownshipGrand RapidsWichitaBlue TownshipSpringfield TownshipSpringfieldLawrence TownshipLawrenceAurora TownshipAuroraCenter TownshipCtrKansas CityDaytonDetroitWayne TownshipWayne$75,833.000000$75,833.000000$75.8k3.619%3.62%2,1811$70,559.000000$70,559.000000$70.6k4.560%4.56%2,8362$70,234.000000$70,234.000000$70.2k3.702%3.70%2,7523$67,065.000000$67,065.000000$67.1k4.514%4.51%2,8674$61,702.000000$61,702.000000$61.7k5.485%5.48%3,7215$60,881.000000$60,881.000000$60.9k3.897%3.90%2,8086$60,023.000000$60,023.000000$60.0k5.017%5.02%3,0447$57,721.000000$57,721.000000$57.7k5.470%5.47%3,3288$56,494.000000$56,494.000000$56.5k6.864%6.86%4,8259$55,147.000000$55,147.000000$55.1k5.209%5.21%4,20910$54,601.000000$54,601.000000$54.6k3.731%3.73%3,70611$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%64$52,981.000000$52,981.000000$53.0k3.717%3.72%2,54812$52,981.000000$52,981.000000$53.0k3.552%3.55%1,93313$51,423.000000$51,423.000000$51.4k4.383%4.38%34,19634.2k$48,860.000000$48,860.000000$48.9k5.329%5.33%155,081155k$48,701.000000$48,701.000000$48.7k1.629%1.63%97214$48,355.000000$48,355.000000$48.4k3.559%3.56%2,66515$47,199.000000$47,199.000000$47.2k5.220%5.22%1,148,6781.15M$46,858.000000$46,858.000000$46.9k2.314%2.31%3,31616$46,303.000000$46,303.000000$46.3k5.530%5.53%1,797,5651.80M$46,102.000000$46,102.000000$46.1k3.598%3.60%5,36617$45,966.000000$45,966.000000$46.0k5.757%5.76%4,00318$45,547.000000$45,547.000000$45.5k3.674%3.67%16,54916.5k$45,327.000000$45,327.000000$45.3k3.704%3.70%2,35619$44,843.000000$44,843.000000$44.8k6.649%6.65%4,51320$44,473.000000$44,473.000000$44.5k6.113%6.11%4,10921$43,357.000000$43,357.000000$43.4k4.456%4.46%2,59922$42,470.000000$42,470.000000$42.5k3.904%3.90%50,39250.4k23$42,412.000000$42,412.000000$42.4k4.436%4.44%3,20824$42,191.000000$42,191.000000$42.2k6.254%6.25%9,256,6379.26M$42,056.000000$42,056.000000$42.1k3.028%3.03%6,91825$41,892.000000$41,892.000000$41.9k6.943%6.94%15,71915.7k26$41,463.000000$41,463.000000$41.5k4.489%4.49%3,98427$41,231.000000$41,231.000000$41.2k3.244%3.24%4,84628$41,198.000000$41,198.000000$41.2k3.304%3.30%4,55929$41,048.000000$41,048.000000$41.0k3.778%3.78%10,08910.1k30$40,994.000000$40,994.000000$41.0k3.963%3.96%16,77316.8k31$40,863.000000$40,863.000000$40.9k5.978%5.98%4,22632$40,708.000000$40,708.000000$40.7k3.923%3.92%2,92733$40,504.000000$40,504.000000$40.5k4.197%4.20%5,07334$40,132.000000$40,132.000000$40.1k5.174%5.17%3,05535$39,500.000000$39,500.000000$39.5k6.028%6.03%8,92536$39,342.000000$39,342.000000$39.3k6.273%6.27%4,95037$38,093.000000$38,093.000000$38.1k3.970%3.97%5,94138$36,242.000000$36,242.000000$36.2k4.788%4.79%4,30039$36,168.000000$36,168.000000$36.2k3.766%3.77%3,52940$36,024.000000$36,024.000000$36.0k6.780%6.78%12,43512.4k41$35,774.000000$35,774.000000$35.8k7.274%7.27%5,09642$35,705.000000$35,705.000000$35.7k4.648%4.65%3,69243$35,470.000000$35,470.000000$35.5k5.936%5.94%3,61344$34,938.000000$34,938.000000$34.9k7.145%7.14%4,89845$32,212.000000$32,212.000000$32.2k6.130%6.13%3,75046$31,934.000000$31,934.000000$31.9k9.354%9.35%6,23847$31,864.000000$31,864.000000$31.9k4.294%4.29%2,37348$31,856.000000$31,856.000000$31.9k3.519%3.52%7,78349$31,009.000000$31,009.000000$31.0k8.413%8.41%5,28650

Industries 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.

Agriculture1 Industry by County Subdivision#112

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in the United States, and entities that contain Brown Deer
0%1%2%3%4%Count#FresnoWisconsinOceanside-EscondidoOceanside-Escond…MidwestUnited States of AmericaUnited StatesEast North CentralSacramentoEast San Gabriel ValleyE San Gabriel VlyAlbuquerqueAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…San BernardinoMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSeattleOntarioMilwaukeeSan Fernando ValleySan Fernando VlyMilwaukee CountyMilwaukeeSan DiegoPhoenixLong Beach-LakewoodLong Bch-LakewoodDetroitLos AngelesSeattle EastTampaSan JoseEl PasoTucsonTulsaSan Antonio CentralSan Antonio CntrlDenverSouthwest DallasSW DallasMiamiOrlandoFort WorthAustinNortheast DallasNE DallasNorthwest HarrisNW HarrisPlanoSalt Lake CitySalt Lk CityPhiladelphiaSan FranciscoTownship 1:Charlotte1, CharlotteAtlantaHoustonLas VegasChicagoColumbusBaltimoreQueensNortheast TarrantNE TarrantBrooklynBostonTown of HempsteadHempsteadBronxWashingtonManhattanBrown DeerBrown Deer School DistrictBrown DeerBrown Deer4.375304%4.375304%4.4%12,22612.2k12.312514%2.312514%2.3%67,30267.3k1.868822%1.868822%1.9%5,65121.659533%1.659533%1.7%539,487539k1.326306%1.326306%1.3%1,962,9511.96M1.125012%1.125012%1.1%247,559248k0.697880%0.697880%0.7%3,40530.637516%0.637516%0.6%2,77440.619353%0.619353%0.6%1,84250.552993%0.552993%0.6%4,49960.551711%0.551711%0.6%1,84870.539813%0.539813%0.5%4,2120.522073%0.522073%0.5%3,04080.513047%0.513047%0.5%1,53190.423938%0.423938%0.4%1,132100.423843%0.423843%0.4%3,823110.406047%0.406047%0.4%1,8290.388713%0.388713%0.4%4,343120.381912%0.381912%0.4%5,610130.375824%0.375824%0.4%1,026140.368900%0.368900%0.4%816150.359234%0.359234%0.4%4,504160.346585%0.346585%0.3%1,053170.342656%0.342656%0.3%1,099180.328076%0.328076%0.3%2,876190.323181%0.323181%0.3%724200.314264%0.314264%0.3%1,202210.303929%0.303929%0.3%872220.294291%0.294291%0.3%836230.293085%0.293085%0.3%1,056240.256865%0.256865%0.3%1,149250.256728%0.256728%0.3%1,130260.246958%0.246958%0.2%716270.234637%0.234637%0.2%908280.222915%0.222915%0.2%1,054290.209563%0.209563%0.2%1,618300.208003%0.208003%0.2%762310.203636%0.203636%0.2%589320.203144%0.203144%0.2%1,014330.190558%0.190558%0.2%1,248340.187899%0.187899%0.2%918350.168062%0.168062%0.2%698360.167911%0.167911%0.2%478370.154502%0.154502%0.2%2,463380.154283%0.154283%0.2%1,334390.143165%0.143165%0.1%1,848400.137999%0.137999%0.1%584410.136774%0.136774%0.1%376420.134751%0.134751%0.1%1,510430.130694%0.130694%0.1%387440.103816%0.103816%0.1%1,238450.100747%0.100747%0.1%357460.092630%0.092630%0.1%353470.069274%0.069274%0.1%399480.062890%0.062890%0.1%219490.038866%0.038866%0.0%347500.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%0.000000%0.0%0

Construction Income by County Subdivision#132

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other county subdivisions in the United States, and entities that contain Brown Deer
$0k$20k$40k$60k%Count#Seattle EastSan FranciscoSeattleTown of HempsteadHempsteadBrown DeerBrown Deer School DistrictBrown DeerBrown DeerMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeOntarioBostonSan JoseWisconsinNorthwest HarrisNW HarrisManhattanSan DiegoEast North CentralMidwestMilwaukee CountyMilwaukeeBaltimorePlanoOceanside-EscondidoOceanside-Escond…Northeast TarrantNE TarrantLas VegasSacramentoLong Beach-LakewoodLong Bch-LakewoodChicagoEast San Gabriel ValleyE San Gabriel VlyUnited States of AmericaUnited StatesPhiladelphiaQueensMilwaukeeWashingtonColumbusFresnoSan BernardinoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…BrooklynSalt Lake CitySalt Lk CityDenverAtlantaPhoenixAlbuquerqueBronxTulsaSan Fernando ValleySan Fernando VlyFort WorthTucsonTownship 1:Charlotte1, CharlotteTampaOrlandoDetroitHoustonNortheast DallasNE DallasAustinSouthwest DallasSW DallasSan Antonio CentralSan Antonio CntrlLos AngelesMiamiEl Paso$63,248.000000$63,248.000000$63.2k4.143%4.14%12,58712.6k1$59,531.000000$59,531.000000$59.5k3.320%3.32%16,22016.2k2$57,027.000000$57,027.000000$57.0k3.952%3.95%23,01523.0k3$56,424.000000$56,424.000000$56.4k5.868%5.87%22,36122.4k4$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%64$53,942.000000$53,942.000000$53.9k1.048%1.05%64$51,423.000000$51,423.000000$51.4k4.383%4.38%34,19634.2k$50,144.000000$50,144.000000$50.1k6.491%6.49%19,37019.4k5$50,130.000000$50,130.000000$50.1k3.381%3.38%11,98212.0k6$49,747.000000$49,747.000000$49.7k4.892%4.89%42,88542.9k7$48,860.000000$48,860.000000$48.9k5.329%5.33%155,081155k$48,650.000000$48,650.000000$48.7k6.497%6.50%23,80023.8k8$48,263.000000$48,263.000000$48.3k1.791%1.79%15,99016.0k9$47,408.000000$47,408.000000$47.4k5.057%5.06%56,50656.5k10$47,199.000000$47,199.000000$47.2k5.220%5.22%1,148,6781.15M$46,303.000000$46,303.000000$46.3k5.530%5.53%1,797,5651.80M$45,547.000000$45,547.000000$45.5k3.674%3.67%16,54916.5k$45,250.000000$45,250.000000$45.3k4.571%4.57%12,56712.6k11$44,990.000000$44,990.000000$45.0k4.077%4.08%11,79211.8k12$44,019.000000$44,019.000000$44.0k6.695%6.70%20,24620.2k13$43,771.000000$43,771.000000$43.8k5.004%5.00%14,81714.8k14$42,814.000000$42,814.000000$42.8k6.084%6.08%52,60852.6k15$42,655.000000$42,655.000000$42.7k6.521%6.52%31,81831.8k16$42,514.000000$42,514.000000$42.5k5.397%5.40%14,73314.7k17$42,470.000000$42,470.000000$42.5k3.904%3.90%50,39250.4k18$42,281.000000$42,281.000000$42.3k5.897%5.90%25,66025.7k19$42,191.000000$42,191.000000$42.2k6.254%6.25%9,256,6379.26M$41,575.000000$41,575.000000$41.6k4.108%4.11%26,90326.9k20$41,067.000000$41,067.000000$41.1k6.702%6.70%75,10675.1k21$41,048.000000$41,048.000000$41.0k3.778%3.78%10,08910.1k22$41,029.000000$41,029.000000$41.0k2.832%2.83%9,86323$40,994.000000$40,994.000000$41.0k3.963%3.96%16,77316.8k24$40,845.000000$40,845.000000$40.8k5.551%5.55%15,51015.5k25$40,608.000000$40,608.000000$40.6k7.245%7.24%24,26724.3k26$40,538.000000$40,538.000000$40.5k6.579%6.58%53,52253.5k27$40,382.000000$40,382.000000$40.4k5.090%5.09%60,70060.7k28$40,021.000000$40,021.000000$40.0k6.339%6.34%31,64331.6k29$39,677.000000$39,677.000000$39.7k7.232%7.23%26,05726.1k30$38,432.000000$38,432.000000$38.4k2.851%2.85%8,11631$37,785.000000$37,785.000000$37.8k7.093%7.09%104,192104k32$37,394.000000$37,394.000000$37.4k6.372%6.37%18,95119.0k33$37,188.000000$37,188.000000$37.2k5.047%5.05%29,07229.1k34$36,251.000000$36,251.000000$36.3k6.488%6.49%18,61618.6k35$35,189.000000$35,189.000000$35.2k6.662%6.66%60,09260.1k36$35,163.000000$35,163.000000$35.2k8.604%8.60%33,29433.3k37$34,829.000000$34,829.000000$34.8k6.169%6.17%23,59623.6k38$34,529.000000$34,529.000000$34.5k6.086%6.09%25,27725.3k39$33,621.000000$33,621.000000$33.6k6.717%6.72%21,54221.5k40$32,082.000000$32,082.000000$32.1k5.986%5.99%17,35517.4k41$31,856.000000$31,856.000000$31.9k3.519%3.52%7,78342$31,546.000000$31,546.000000$31.5k9.808%9.81%156,349156k43$30,731.000000$30,731.000000$30.7k9.207%9.21%71,08471.1k44$30,291.000000$30,291.000000$30.3k8.057%8.06%38,09438.1k45$30,197.000000$30,197.000000$30.2k9.416%9.42%42,11942.1k46$28,229.000000$28,229.000000$28.2k11.414%11.4%32,42432.4k47$27,336.000000$27,336.000000$27.3k5.197%5.20%65,15765.2k48$27,173.000000$27,173.000000$27.2k7.746%7.75%34,09334.1k49$26,862.000000$26,862.000000$26.9k5.240%5.24%11,73811.7k50

Definitions

An industry describe the kind of business conducted by a person’s employing organization. On this page, all employed persons are categorized as working in one of the following industries (bolded terms are used in the charts and maps on this page):

  • Agriculture, forestry, fishing and hunting, and mining:
    • Agriculture: Agriculture, forestry, fishing and hunting
    • Oil & Gas, and Mining: Mining, quarrying, and oil and gas extraction
  • Construction: Construction
  • Manufacturing: Manufacturing
  • Wholesalers: Wholesale trade
  • Retail: Retail trade
  • Transportation and warehousing, and utilities:
    • Transportation: Transportation and warehousing
    • Utilities: Utilities
  • Information: Information
  • Finance and insurance, and real estate and rental and leasing:
    • Finance & Insurance: Finance and insurance
    • Real estate: Real estate and rental and leasing
  • Professional, scientific, and management, and administrative and waste management services:
    • Professional: Professional, scientific, and technical services
    • Management: Management of companies and enterprises
    • Administrative: Administrative and support and waste management services
  • Educational services, and health care and social assistance:
    • Education: Educational services
    • Healthcare: Health care and social assistance
  • Arts, entertainment, and recreation, and accommodation and food services:
    • Entertainment: Arts, entertainment, and recreation
    • Hospitality: Accommodation and food services
  • Other Services: Other services, except public administration
  • Government: Public administration

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

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