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

Occupations#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%CountAdministrativeManagementSales and RelatedEducation1Business2Healthcare3Food ServiceHealthcare SupportSocial ServiceProductionComputers & MathPersonal CareFire FightingFacilitiesHealth TechniciansTransportationEngineering4Material MovingConstruction5Entertainment6Repair7ScienceLegalLaw EnforcementFarming813.701097%13.934566%13.701097%13.7%83711.949583%8.243033%11.949583%11.9%7308.495662%9.126611%8.495662%8.5%5197.889998%6.235223%7.889998%7.9%4827.448028%4.972238%7.448028%7.4%4555.434605%4.285356%5.434605%5.4%3325.336389%6.388406%5.336389%5.3%3264.403339%3.279009%4.403339%4.4%2694.026846%1.912348%4.026846%4.0%2464.010476%9.162576%4.010476%4.0%2453.863153%2.500216%3.863153%3.9%2363.814045%4.308444%3.814045%3.8%2332.831887%1.336468%2.831887%2.8%1732.700933%3.804272%2.700933%2.7%1652.291701%1.914568%2.291701%2.3%1402.111639%3.046348%2.111639%2.1%1291.816991%1.762717%1.816991%1.8%1111.784253%3.077651%1.784253%1.8%1091.522344%3.059224%1.522344%1.5%931.391390%2.066863%1.391390%1.4%851.325913%2.411859%1.325913%1.3%810.589294%0.775684%0.589294%0.6%360.507448%1.165302%0.507448%0.5%310.507448%0.932420%0.507448%0.5%310.245539%0.298596%0.245539%0.2%15
Count number of people employed in given occupation
1Education, training, and library 2Business and finance 3Health diagnosing and treating practitioners 4Engineering and architecture 5Construction and extraction 6Arts, design, entertainment, sports, and media 7Installation, maintenance, and repair 8Farming, fishing, and forestry

Relative Occupations#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
50%0%50%100%%ref.Fire FightingSocial ServiceComputers & MathBusiness1ManagementHealthcare SupportHealthcare2Education3Health TechniciansEngineering4AdministrativeSales and RelatedPersonal CareFood ServiceFarming5ScienceFacilitiesTransportationEntertainment6Material MovingRepair7Law EnforcementConstruction8ProductionLegal111.893386%111.893386%111.9%2.832%2.83%1.336%1.34%110.570742%110.570742%110.6%4.027%4.03%1.912%1.91%54.512731%54.512731%54.5%3.863%3.86%2.500%2.50%49.792247%49.792247%49.8%7.448%7.45%4.972%4.97%44.965848%44.965848%45.0%11.950%11.9%8.243%8.24%34.288732%34.288732%34.3%4.403%4.40%3.279%3.28%26.818047%26.818047%26.8%5.435%5.43%4.285%4.29%26.539157%26.539157%26.5%7.890%7.89%6.235%6.24%19.698050%19.698050%19.7%2.292%2.29%1.915%1.91%3.079016%3.079016%3.1%1.817%1.82%1.763%1.76%-1.675471%-1.675471%1.7%13.701%13.7%13.935%13.9%-6.913292%-6.913292%6.9%8.496%8.50%9.127%9.13%-11.475129%-11.475129%11.5%3.814%3.81%4.308%4.31%-16.467599%-16.467599%16.5%5.336%5.34%6.388%6.39%-17.768774%-17.768774%17.8%0.246%0.25%0.299%0.30%-24.029079%-24.029079%24.0%0.589%0.59%0.776%0.78%-29.002627%-29.002627%29.0%2.701%2.70%3.804%3.80%-30.682948%-30.682948%30.7%2.112%2.11%3.046%3.05%-32.681096%-32.681096%32.7%1.391%1.39%2.067%2.07%-42.025493%-42.025493%42.0%1.784%1.78%3.078%3.08%-45.025277%-45.025277%45.0%1.326%1.33%2.412%2.41%-45.577286%-45.577286%45.6%0.507%0.51%0.932%0.93%-50.237577%-50.237577%50.2%1.522%1.52%3.059%3.06%-56.229817%-56.229817%56.2%4.010%4.01%9.163%9.16%-56.453535%-56.453535%56.5%0.507%0.51%1.165%1.17%
% percentage of occupation in Brown Deer
ref. percentage of occupation in Milwaukee County
1Business and finance 2Health diagnosing and treating practitioners 3Education, training, and library 4Engineering and architecture 5Farming, fishing, and forestry 6Arts, design, entertainment, sports, and media 7Installation, maintenance, and repair 8Construction and extraction

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Milwaukee County and Brown Deer
Female Male
Milwaukee County
Brown Deer
2x1x0x1x2xFMTransportationHealth TechniciansSales and RelatedFood ServiceScienceComputers & MathLegalLaw EnforcementManagementFacilitiesAll OccupationsFire FightingHealthcare1Personal CareHealthcare SupportEducation2AdministrativeSocial Service-1.000000x-1.000000x-1.000000x2.909091x5.427166x2.909091x2.91x3396-1.000000x-3.944954x-1.000000x1.800000x1.000000x1.800000x1.80x5090-1.000000x-1.050579x-1.000000x1.703125x1.000000x1.703125x1.70x192327-1.000000x-1.056163x-1.000000x1.650407x1.000000x1.650407x1.65x123203-1.000000x-1.000000x-1.000000x1.250000x1.323138x1.250000x1.25x1620-1.000000x-1.000000x-1.000000x1.145455x2.670795x1.145455x1.15x110126-1.000000x-1.139829x-1.000000x1.066667x1.000000x1.066667x1.07x1516-1.000000x-1.000000x-1.000000x1.066667x3.393305x1.066667x1.07x1516-1.050562x-1.000000x-1.050562x1.05x1.000000x1.221225x1.000000x374356-1.062500x-1.000000x-1.062500x1.06x1.000000x1.294898x1.000000x8580-1.142757x-1.017020x-1.142757x1.14x1.000000x1.000000x1.000000x3,2582,851-1.189873x-1.000000x-1.189873x1.19x1.000000x2.252296x1.000000x9479-1.534351x-3.222927x-1.534351x1.53x1.000000x1.000000x1.000000x201131-1.647727x-3.061741x-1.647727x1.65x1.000000x1.000000x1.000000x14588-2.320988x-6.107796x-2.320988x2.32x1.000000x1.000000x1.000000x18881-2.492754x-2.525734x-2.492754x2.49x1.000000x1.000000x1.000000x344138-2.687225x-2.525840x-2.687225x2.69x1.000000x1.000000x1.000000x610227-2.727273x-2.184473x-2.727273x2.73x1.000000x1.000000x1.000000x18066
F number of females employed in given occupation
M number of males employed in given occupation
1Health diagnosing and treating practitioners 2Education, training, and library

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Milwaukee County and Brown Deer
Brown Deer
Milwaukee County
0%50%100%PartFullSciencePersonal CareFacilitiesFood ServiceFire FightingTransportationAdministrativeHealth TechniciansHealthcare1Social ServiceAll OccupationsSales and RelatedEducation2Healthcare SupportMaterial MovingManagementProductionBusiness3Computers & MathEngineering4LegalEntertainment5Law EnforcementFarming6Construction7Repair8100.000000%27.160847%100.000000%100.0%36075.536481%54.562787%75.536481%75.5%1765758.787879%47.642390%58.787879%58.8%976853.374233%59.323742%53.374233%53.4%17415247.976879%32.209302%47.976879%48.0%839047.286822%36.583588%47.286822%47.3%616841.935484%32.660474%41.935484%41.9%35148632.142857%34.021336%32.142857%32.1%459530.120482%29.741491%30.120482%30.1%10023226.829268%25.876480%26.829268%26.8%6618026.812899%32.673091%26.812899%26.8%1,6384,47123.892100%39.822428%23.892100%23.9%12439521.991701%42.028057%21.991701%22.0%10637615.241636%44.773189%15.241636%15.2%4122812.844037%36.882349%12.844037%12.8%149511.232877%14.061406%11.232877%11.2%8264811.020408%20.251018%11.020408%11.0%272188.351648%16.180738%8.351648%8.4%384177.203390%13.034985%7.203390%7.2%172190.000000%0.000000%0.0%13.803526%01110.000000%0.000000%0.0%19.089350%0310.000000%0.000000%0.0%41.138561%0850.000000%0.000000%0.0%5.380952%0310.000000%0.000000%0.0%35.910781%0150.000000%0.000000%0.0%35.936139%0930.000000%0.000000%0.0%17.268041%081
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Health diagnosing and treating practitioners 2Education, training, and library 3Business and finance 4Engineering and architecture 5Arts, design, entertainment, sports, and media 6Farming, fishing, and forestry 7Construction and extraction 8Installation, maintenance, and repair

Median Income by Occupation#5

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%CountComputers & MathEngineering1Fire FightingManagementConstruction2Healthcare3Repair4Entertainment5Business6All OccupationsSales and RelatedTransportationProductionSocial ServiceEducation7AdministrativeHealth TechniciansFacilitiesMaterial MovingHealthcare SupportFood ServicePersonal Care$80,022.000000$69,421.000000$80,022.000000$80.0k3.863%3.86%236$73,750.000000$65,491.000000$73,750.000000$73.8k1.817%1.82%111$65,606.000000$39,968.000000$65,606.000000$65.6k2.832%2.83%173$64,280.000000$64,358.000000$64,280.000000$64.3k11.950%11.9%730$63,125.000000$42,436.000000$63,125.000000$63.1k1.522%1.52%93$60,313.000000$64,964.000000$60,313.000000$60.3k5.435%5.43%332$55,438.000000$45,227.000000$55,438.000000$55.4k1.326%1.33%81$55,104.000000$46,990.000000$55,104.000000$55.1k1.391%1.39%85$54,497.000000$54,815.000000$54,497.000000$54.5k7.448%7.45%455$46,217.000000$42,214.000000$46,217.000000$46.2k100.000%100%6,109$41,875.000000$41,803.000000$41,875.000000$41.9k8.496%8.50%519$41,486.000000$40,616.000000$41,486.000000$41.5k2.112%2.11%129$40,897.000000$35,045.000000$40,897.000000$40.9k4.010%4.01%245$38,789.000000$44,252.000000$38,789.000000$38.8k4.027%4.03%246$37,333.000000$46,942.000000$37,333.000000$37.3k7.890%7.89%482$36,475.000000$36,560.000000$36,475.000000$36.5k13.701%13.7%837$35,997.000000$40,781.000000$35,997.000000$36.0k2.292%2.29%140$35,357.000000$24,832.000000$35,357.000000$35.4k2.701%2.70%165$30,592.000000$29,832.000000$30,592.000000$30.6k1.784%1.78%109$28,500.000000$27,499.000000$28,500.000000$28.5k4.403%4.40%269$20,586.000000$22,155.000000$20,586.000000$20.6k5.336%5.34%326$17,096.000000$25,792.000000$17,096.000000$17.1k3.814%3.81%233
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Engineering and architecture 2Construction and extraction 3Health diagnosing and treating practitioners 4Installation, maintenance, and repair 5Arts, design, entertainment, sports, and media 6Business and finance 7Education, training, and library 8Farming, fishing, and forestry

Map of Occupations by Tract in Brown Deer

Management Occupations by Tract#6

Percentage of the population aged 16 and older employed with occupation: management (%):
10.3%11.0%11.6%12.3%13.0%13.7%

Business Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
6.50%6.89%7.27%7.65%8.04%8.42%

Computers & Math Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
3.28%3.52%3.76%3.99%4.22%4.46%

Engineering Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
1.51%1.64%1.76%1.88%2.01%2.13%

Science Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: science (%):
0.00%0.23%0.46%0.70%0.93%1.16%

Social Service Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: social service (%):
3.16%3.50%3.84%4.18%4.52%4.87%

Legal Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.00%0.21%0.41%0.62%0.83%1.04%

Education Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
7.796%7.834%7.873%7.911%7.949%7.987%

Entertainment Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
0.79%1.03%1.27%1.50%1.73%1.97%

Healthcare Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
4.45%4.84%5.23%5.61%5.99%6.38%

Health Technicians Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
2.09%2.17%2.25%2.34%2.42%2.50%

Healthcare Support Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
3.70%3.99%4.27%4.56%4.84%5.13%

Fire Fighting Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
2.19%2.45%2.71%2.97%3.23%3.50%

Law Enforcement Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.4991%0.5024%0.5057%0.5089%0.5122%0.5155%

Food Service Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: food service (%):
5.291%5.309%5.327%5.345%5.362%5.381%

Facilities Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: facilities (%):
2.28%2.46%2.62%2.79%2.96%3.13%

Personal Care Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: personal care (%):
3.56%3.66%3.76%3.86%3.96%4.06%

Sales and Related Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
6.0%7.0%8.0%8.9%9.9%10.9%

Administrative Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: administrative (%):
13.54%13.61%13.67%13.73%13.79%13.86%

Farming Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
0.00%0.10%0.19%0.29%0.39%0.49%

Construction Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
1.36%1.43%1.49%1.55%1.61%1.68%

Repair Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
0.63%0.91%1.18%1.45%1.72%2.00%

Production Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: production (%):
3.47%3.70%3.91%4.13%4.34%4.56%

Transportation Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: transportation (%):
1.86%1.97%2.07%2.17%2.26%2.37%

Material Moving Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: material moving (%):
1.771%1.777%1.782%1.787%1.792%1.798%
Road Data ©OpenStreetMap

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Occupations 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.

Management Occupations by County Subdivision#31

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%5%10%15%20%Count#Fox PointMequonTown of MertonMertonWhitefish BayTown of CedarburgCedarburgSummitTown of DelafieldDelafieldBrookfieldCedarburgPewaukeeTown of LisbonLisbonElm GroveOconomowocShorewoodTown of GeneseeGeneseeMuskegoDelafieldTown of OconomowocOconomowocRichfieldNew BerlinJacksonTown of MukwonagoMukwonagoBrown DeerBrown Deer School DistrictBrown DeerBrown DeerGraftonWauwatosaMenomonee FallsGermantownFranklinSlingerOak CreekTown of WaukeshaWaukeshaSussexHartlandTown of BrookfieldBrookfieldPort WashingtonGlendaleMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesGreendaleMidwestTown of VernonVernonWaukeshaWisconsinHartfordEast North CentralGreenfieldSt. FrancisMukwonagoPewaukeeHales CornersMilwaukee CountyMilwaukeeWest AllisWest BendMilwaukeeCudahySouth MilwaukeeS Milwaukee20.697882%20.697882%20.7%694120.044763%20.044763%20.0%2,239220.019484%20.019484%20.0%822317.779668%17.779668%17.8%1,254417.521781%17.521781%17.5%543517.160494%17.160494%17.2%417617.148014%17.148014%17.1%760716.611833%16.611833%16.6%3,080816.611130%16.611130%16.6%997916.208947%16.208947%16.2%1,1451016.142706%16.142706%16.1%9141116.065911%16.065911%16.1%4681215.827854%15.827854%15.8%1,3241315.366050%15.366050%15.4%1,1461414.313207%14.313207%14.3%5951514.013388%14.013388%14.0%1,9261613.793103%13.793103%13.8%5201713.305785%13.305785%13.3%6441813.038906%13.038906%13.0%8681912.859513%12.859513%12.9%2,7902012.665256%12.665256%12.7%4792112.067308%12.067308%12.1%5022211.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.949583%11.949583%11.9%7302311.939366%11.939366%11.9%7642411.923449%11.923449%11.9%3,0842511.832995%11.832995%11.8%2,2732611.790192%11.790192%11.8%1,2792711.749703%11.749703%11.7%1,9812811.715481%11.715481%11.7%3362911.567164%11.567164%11.6%2,2013011.476776%11.476776%11.5%5513111.182541%11.182541%11.2%6613211.032410%11.032410%11.0%5143310.920917%10.920917%10.9%3193410.451011%10.451011%10.5%6723510.360497%10.360497%10.4%6843610.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M9.854227%9.854227%9.9%676379.823005%9.823005%9.8%3,193,2973.19M9.792844%9.792844%9.8%416389.697016%9.697016%9.7%3,847399.621594%9.621594%9.6%280,021280k9.537223%9.537223%9.5%711409.526275%9.526275%9.5%2,096,2572.10M9.461576%9.461576%9.5%1,752419.431451%9.431451%9.4%496429.421001%9.421001%9.4%384439.041440%9.041440%9.0%432449.013833%9.013833%9.0%404458.243033%8.243033%8.2%37,13037.1k7.467330%7.467330%7.5%2,400466.985427%6.985427%7.0%1,160476.680024%6.680024%6.7%17,83717.8k486.624954%6.624954%6.6%540496.471952%6.471952%6.5%69850

Management Income by County Subdivision#56

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$50k$100k%Count#Town of DelafieldDelafieldMequonElm GroveSummitPewaukeeTown of MertonMertonShorewoodWhitefish BayBrookfieldFox PointTown of BrookfieldBrookfieldDelafieldTown of MukwonagoMukwonagoRichfieldTown of LisbonLisbonMenomonee FallsGreendaleTown of CedarburgCedarburgSlingerTown of GeneseeGeneseeSussexGermantownMuskegoFranklinCedarburgOconomowocGraftonTown of VernonVernonTown of OconomowocOconomowocGlendaleHartlandWauwatosaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeOak CreekNew BerlinMukwonagoWaukeshaPort WashingtonUnited States of AmericaUnited StatesPewaukeeJacksonEast North CentralHales CornersGreenfieldTown of WaukeshaWaukeshaHartfordMidwestWisconsinWest BendMilwaukee CountyMilwaukeeBrown DeerBrown Deer School DistrictBrown DeerBrown DeerCudahySouth MilwaukeeS MilwaukeeMilwaukeeWest AllisSt. Francis$130,781.000000$130,781.000000$130.8k17.148%17.1%7601$111,420.000000$111,420.000000$111.4k20.045%20.0%2,2392$107,768.000000$107,768.000000$107.8k16.066%16.1%4683$104,531.000000$104,531.000000$104.5k17.160%17.2%4174$103,347.000000$103,347.000000$103.3k16.209%16.2%1,1455$102,351.000000$102,351.000000$102.4k20.019%20.0%8226$101,500.000000$101,500.000000$101.5k15.366%15.4%1,1467$101,406.000000$101,406.000000$101.4k17.780%17.8%1,2548$100,541.000000$100,541.000000$100.5k16.612%16.6%3,0809$99,868.000000$99,868.000000$99.9k20.698%20.7%69410$98,750.000000$98,750.000000$98.8k10.921%10.9%31911$95,278.000000$95,278.000000$95.3k13.793%13.8%52012$94,722.000000$94,722.000000$94.7k12.067%12.1%50213$94,554.000000$94,554.000000$94.6k13.039%13.0%86814$94,329.000000$94,329.000000$94.3k16.143%16.1%91415$91,685.000000$91,685.000000$91.7k11.833%11.8%2,27316$89,931.000000$89,931.000000$89.9k9.854%9.85%67617$88,194.000000$88,194.000000$88.2k17.522%17.5%54318$86,438.000000$86,438.000000$86.4k11.715%11.7%33619$84,750.000000$84,750.000000$84.8k14.313%14.3%59520$84,545.000000$84,545.000000$84.5k11.183%11.2%66121$83,833.000000$83,833.000000$83.8k11.790%11.8%1,27922$83,617.000000$83,617.000000$83.6k14.013%14.0%1,92623$83,597.000000$83,597.000000$83.6k11.750%11.7%1,98124$83,576.000000$83,576.000000$83.6k16.611%16.6%99725$81,386.000000$81,386.000000$81.4k15.828%15.8%1,32426$80,819.000000$80,819.000000$80.8k11.939%11.9%76427$80,474.000000$80,474.000000$80.5k9.793%9.79%41628$80,185.000000$80,185.000000$80.2k13.306%13.3%64429$79,038.000000$79,038.000000$79.0k10.360%10.4%68430$78,750.000000$78,750.000000$78.8k11.032%11.0%51431$76,973.000000$76,973.000000$77.0k11.923%11.9%3,08432$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$74,777.000000$74,777.000000$74.8k11.567%11.6%2,20133$74,517.000000$74,517.000000$74.5k12.860%12.9%2,79034$74,167.000000$74,167.000000$74.2k9.421%9.42%38435$73,227.000000$73,227.000000$73.2k9.697%9.70%3,84736$73,162.000000$73,162.000000$73.2k10.451%10.5%67237$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,801.000000$71,801.000000$71.8k9.041%9.04%43238$71,618.000000$71,618.000000$71.6k12.665%12.7%47939$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,729.000000$70,729.000000$70.7k9.014%9.01%40440$70,474.000000$70,474.000000$70.5k9.462%9.46%1,75241$70,441.000000$70,441.000000$70.4k11.477%11.5%55142$69,112.000000$69,112.000000$69.1k9.537%9.54%71143$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$64,659.000000$64,659.000000$64.7k6.985%6.99%1,16044$64,358.000000$64,358.000000$64.4k8.243%8.24%37,13037.1k$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%73045$60,365.000000$60,365.000000$60.4k6.625%6.62%54046$57,329.000000$57,329.000000$57.3k6.472%6.47%69847$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k48$52,457.000000$52,457.000000$52.5k7.467%7.47%2,40049$46,743.000000$46,743.000000$46.7k9.431%9.43%49650
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations 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.

Management Occupations by County Subdivision#77

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%5%10%15%20%Count#MequonBrookfieldOconomowocMuskegoPleasant PrairieNew BerlinFitchburgMiddletonBrown DeerBrown Deer School DistrictBrown DeerBrown DeerWauwatosaCaledoniaMenomonee FallsGermantownFranklinOak CreekMount PleasantMt PleasantOnalaskaSun PrairieMadisonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesDe PereMidwestAshwaubenonWaukeshaWisconsinEast North CentralGreenfieldHowardTown of MenashaMenashaTown of Grand ChuteGrand ChuteNeenahJanesvilleMilwaukee CountyMilwaukeeAppletonSuperiorWest AllisMarshfieldGreen BayWest BendFond du LacOshkoshKenoshaStevens PointMilwaukeeCudahySouth MilwaukeeS MilwaukeeRacineEau ClaireSheboyganWisconsin RapidsManitowocWausauBeloitLa CrosseBeaver DamMenomonie20.044763%20.044763%20.0%2,239116.611833%16.611833%16.6%3,080215.827854%15.827854%15.8%1,324314.013388%14.013388%14.0%1,926413.317573%13.317573%13.3%1,352512.859513%12.859513%12.9%2,790612.421896%12.421896%12.4%1,829712.098299%12.098299%12.1%1,280811.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.923449%11.923449%11.9%3,084911.910995%11.910995%11.9%1,4561011.832995%11.832995%11.8%2,2731111.790192%11.790192%11.8%1,2791211.749703%11.749703%11.7%1,9811311.567164%11.567164%11.6%2,2011411.539061%11.539061%11.5%1,4801510.901050%10.901050%10.9%9861610.425767%10.425767%10.4%1,7901710.142086%10.142086%10.1%14,53314.5k1810.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M10.028195%10.028195%10.0%1,316199.823005%9.823005%9.8%3,193,2973.19M9.711634%9.711634%9.7%879209.697016%9.697016%9.7%3,847219.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M9.461576%9.461576%9.5%1,752228.996472%8.996472%9.0%918238.980511%8.980511%9.0%917248.915268%8.915268%8.9%1,089258.654841%8.654841%8.7%1,171268.382485%8.382485%8.4%2,615278.243033%8.243033%8.2%37,13037.1k7.901482%7.901482%7.9%2,528287.586363%7.586363%7.6%1,008297.467330%7.467330%7.5%2,400307.383594%7.383594%7.4%712317.073279%7.073279%7.1%3,667326.985427%6.985427%7.0%1,160336.945253%6.945253%6.9%1,431346.905961%6.905961%6.9%2,303356.844206%6.844206%6.8%3,138366.778846%6.778846%6.8%987376.680024%6.680024%6.7%17,83717.8k386.624954%6.624954%6.6%540396.471952%6.471952%6.5%698406.337798%6.337798%6.3%2,134416.320134%6.320134%6.3%2,343426.216417%6.216417%6.2%1,504436.206132%6.206132%6.2%504446.089183%6.089183%6.1%975455.995463%5.995463%6.0%1,110465.873026%5.873026%5.9%889475.605654%5.605654%5.6%1,610485.358043%5.358043%5.4%425495.253899%5.253899%5.3%44850

Management Income by County Subdivision#102

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$50k$100k%Count#MequonBrookfieldMenomonee FallsOnalaskaPleasant PrairieCaledoniaMount PleasantMt PleasantGermantownMuskegoFranklinTown of MenashaMenashaOconomowocAshwaubenonMarshfieldWauwatosaFitchburgTown of Grand ChuteGrand ChuteMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeManitowocOak CreekNew BerlinWaukeshaUnited States of AmericaUnited StatesAppletonEast North CentralGreenfieldBeaver DamMiddletonKenoshaMadisonMidwestSun PrairieHowardDe PereWausauWisconsinNeenahWest BendMilwaukee CountyMilwaukeeBrown DeerBrown Deer School DistrictBrown DeerBrown DeerFond du LacOshkoshCudahyJanesvilleRacineSouth MilwaukeeS MilwaukeeEau ClaireSuperiorMilwaukeeWest AllisGreen BayStevens PointBeloitSheboyganLa CrosseMenomonieWisconsin Rapids$111,420.000000$111,420.000000$111.4k20.045%20.0%2,2391$100,541.000000$100,541.000000$100.5k16.612%16.6%3,0802$91,685.000000$91,685.000000$91.7k11.833%11.8%2,2733$89,722.000000$89,722.000000$89.7k10.901%10.9%9864$88,571.000000$88,571.000000$88.6k13.318%13.3%1,3525$88,400.000000$88,400.000000$88.4k11.911%11.9%1,4566$87,946.000000$87,946.000000$87.9k11.539%11.5%1,4807$83,833.000000$83,833.000000$83.8k11.790%11.8%1,2798$83,617.000000$83,617.000000$83.6k14.013%14.0%1,9269$83,597.000000$83,597.000000$83.6k11.750%11.7%1,98110$82,392.000000$82,392.000000$82.4k8.981%8.98%91711$81,386.000000$81,386.000000$81.4k15.828%15.8%1,32412$78,346.000000$78,346.000000$78.3k9.712%9.71%87913$77,390.000000$77,390.000000$77.4k7.384%7.38%71214$76,973.000000$76,973.000000$77.0k11.923%11.9%3,08415$76,078.000000$76,078.000000$76.1k12.422%12.4%1,82916$75,750.000000$75,750.000000$75.8k8.915%8.92%1,08917$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$74,917.000000$74,917.000000$74.9k6.089%6.09%97518$74,777.000000$74,777.000000$74.8k11.567%11.6%2,20119$74,517.000000$74,517.000000$74.5k12.860%12.9%2,79020$73,227.000000$73,227.000000$73.2k9.697%9.70%3,84721$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$72,371.000000$72,371.000000$72.4k7.901%7.90%2,52822$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,474.000000$70,474.000000$70.5k9.462%9.46%1,75223$69,643.000000$69,643.000000$69.6k5.358%5.36%42524$69,516.000000$69,516.000000$69.5k12.098%12.1%1,28025$69,116.000000$69,116.000000$69.1k6.844%6.84%3,13826$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k27$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$67,862.000000$67,862.000000$67.9k10.426%10.4%1,79028$67,857.000000$67,857.000000$67.9k8.996%9.00%91829$66,417.000000$66,417.000000$66.4k10.028%10.0%1,31630$65,893.000000$65,893.000000$65.9k5.995%6.00%1,11031$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$65,378.000000$65,378.000000$65.4k8.655%8.65%1,17132$64,659.000000$64,659.000000$64.7k6.985%6.99%1,16033$64,358.000000$64,358.000000$64.4k8.243%8.24%37,13037.1k$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%730$62,210.000000$62,210.000000$62.2k6.945%6.95%1,43134$60,625.000000$60,625.000000$60.6k6.906%6.91%2,30335$60,365.000000$60,365.000000$60.4k6.625%6.62%54036$58,672.000000$58,672.000000$58.7k8.382%8.38%2,61537$58,059.000000$58,059.000000$58.1k6.338%6.34%2,13438$57,329.000000$57,329.000000$57.3k6.472%6.47%69839$56,976.000000$56,976.000000$57.0k6.320%6.32%2,34340$56,266.000000$56,266.000000$56.3k7.586%7.59%1,00841$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k42$52,457.000000$52,457.000000$52.5k7.467%7.47%2,40043$51,776.000000$51,776.000000$51.8k7.073%7.07%3,66744$50,726.000000$50,726.000000$50.7k6.779%6.78%98745$50,709.000000$50,709.000000$50.7k5.873%5.87%88946$50,342.000000$50,342.000000$50.3k6.216%6.22%1,50447$49,444.000000$49,444.000000$49.4k5.606%5.61%1,61048$48,864.000000$48,864.000000$48.9k5.254%5.25%44849$46,000.000000$46,000.000000$46.0k6.206%6.21%50450
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations 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.

Management Occupations by County Subdivision#123

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%5%10%Count#Overland ParkPalatine TownshipPalatineYork TownshipLisle TownshipLisleMilton TownshipMiltonDowners Grove TownshipDowners GrvWheeling TownshipWheelingOlatheBrown DeerBrown Deer School DistrictBrown DeerBrown DeerWashington TownshipWashingtonSchaumburg TownshipSchaumburgMinneapolisBloomingdale TownshipBloomingdaleMaine TownshipMaineLawrence TownshipLawrenceAnn ArborMadisonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesKaw TownshipMidwestChicagoWisconsinEast North CentralCapital TownshipCapitalCedar RapidsOmahaLincolnColumbusFargoWichitaSt. PaulSt. LouisSterling HeightsSterling HtsCincinnatiMilwaukee CountyMilwaukeeSioux FallsProviso TownshipProvisoWorth TownshipWorthNorth TownshipNTopekaGrand RapidsSpringfield TownshipSpringfieldCenter TownshipCtrAkronRockford TownshipRockfordMilwaukeeDaytonToledoClevelandThornton TownshipThorntonWayne TownshipWayneBlue TownshipWarrenKansas CityAurora TownshipAuroraDetroit14.855423%14.855423%14.9%14,75514.8k114.280314%14.280314%14.3%8,688213.861418%13.861418%13.9%8,620313.857442%13.857442%13.9%8,801413.607101%13.607101%13.6%8,201513.532672%13.532672%13.5%10,06110.1k612.498298%12.498298%12.5%10,09810.1k712.497347%12.497347%12.5%8,834811.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.822686%11.822686%11.8%8,852911.215342%11.215342%11.2%8,0821011.090883%11.090883%11.1%25,34325.3k1110.703868%10.703868%10.7%6,4951210.230974%10.230974%10.2%6,9411310.178765%10.178765%10.2%6,1951410.163555%10.163555%10.2%6,0651510.142086%10.142086%10.1%14,53314.5k1610.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M9.830735%9.830735%9.8%8,828179.823005%9.823005%9.8%3,193,2973.19M9.686446%9.686446%9.7%125,034125k189.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M9.490124%9.490124%9.5%5,165199.453745%9.453745%9.5%6,573209.255914%9.255914%9.3%20,95421.0k218.952573%8.952573%9.0%13,25513.3k228.938711%8.938711%8.9%37,82837.8k238.848749%8.848749%8.8%6,006248.828501%8.828501%8.8%16,19216.2k258.615624%8.615624%8.6%12,87212.9k268.539382%8.539382%8.5%12,73712.7k278.523147%8.523147%8.5%5,422288.480632%8.480632%8.5%11,70211.7k298.243033%8.243033%8.2%37,13037.1k8.151678%8.151678%8.2%6,432307.864640%7.864640%7.9%5,687317.841240%7.841240%7.8%5,512327.755132%7.755132%7.8%5,213337.657261%7.657261%7.7%4,521347.353898%7.353898%7.4%6,892357.129728%7.129728%7.1%5,663367.037418%7.037418%7.0%4,305376.884817%6.884817%6.9%6,110386.845992%6.845992%6.8%5,108396.680024%6.680024%6.7%17,83717.8k406.420093%6.420093%6.4%3,548416.340644%6.340644%6.3%7,664426.287799%6.287799%6.3%9,409436.213626%6.213626%6.2%4,260446.095911%6.095911%6.1%3,830456.010562%6.010562%6.0%4,211465.821231%5.821231%5.8%3,395475.284388%5.284388%5.3%3,524485.277745%5.277745%5.3%3,618494.999593%4.999593%5.0%11,05911.1k50

Management Income by County Subdivision#148

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$50k$100k%Count#Downers Grove TownshipDowners GrvMilton TownshipMiltonLisle TownshipLislePalatine TownshipPalatineYork TownshipWheeling TownshipWheelingOverland ParkMaine TownshipMaineSchaumburg TownshipSchaumburgAnn ArborCapital TownshipCapitalOlatheBloomingdale TownshipBloomingdaleChicagoMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSterling HeightsSterling HtsUnited States of AmericaUnited StatesEast North CentralMinneapolisMadisonMidwestLawrence TownshipLawrenceWorth TownshipWorthProviso TownshipProvisoSt. PaulRockford TownshipRockfordNorth TownshipNWashington TownshipWashingtonOmahaWisconsinCedar RapidsMilwaukee CountyMilwaukeeBrown DeerBrown Deer School DistrictBrown DeerBrown DeerKaw TownshipWichitaThornton TownshipThorntonCincinnatiLincolnAurora TownshipAuroraSt. LouisFargoColumbusSioux FallsTopekaWarrenCenter TownshipCtrMilwaukeeClevelandGrand RapidsAkronDetroitDaytonKansas CityToledoWayne TownshipWayneSpringfield TownshipSpringfieldBlue Township$107,431.000000$107,431.000000$107.4k13.533%13.5%10,06110.1k1$102,402.000000$102,402.000000$102.4k13.607%13.6%8,2012$102,147.000000$102,147.000000$102.1k13.857%13.9%8,8013$98,054.000000$98,054.000000$98.1k14.280%14.3%8,6884$94,241.000000$94,241.000000$94.2k13.861%13.9%8,6205$89,147.000000$89,147.000000$89.1k12.498%12.5%10,09810.1k6$85,786.000000$85,786.000000$85.8k14.855%14.9%14,75514.8k7$85,408.000000$85,408.000000$85.4k10.231%10.2%6,9418$83,268.000000$83,268.000000$83.3k11.215%11.2%8,0829$82,929.000000$82,929.000000$82.9k10.164%10.2%6,06510$80,069.000000$80,069.000000$80.1k9.490%9.49%5,16511$79,184.000000$79,184.000000$79.2k12.497%12.5%8,83412$76,518.000000$76,518.000000$76.5k10.704%10.7%6,49513$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k14$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$74,123.000000$74,123.000000$74.1k8.523%8.52%5,42215$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$68,933.000000$68,933.000000$68.9k11.091%11.1%25,34325.3k16$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k17$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,214.000000$68,214.000000$68.2k10.179%10.2%6,19518$67,826.000000$67,826.000000$67.8k7.841%7.84%5,51219$67,525.000000$67,525.000000$67.5k7.865%7.86%5,68720$67,483.000000$67,483.000000$67.5k8.616%8.62%12,87212.9k21$67,330.000000$67,330.000000$67.3k6.846%6.85%5,10822$67,213.000000$67,213.000000$67.2k7.755%7.76%5,21323$66,973.000000$66,973.000000$67.0k11.823%11.8%8,85224$66,221.000000$66,221.000000$66.2k9.256%9.26%20,95421.0k25$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$65,182.000000$65,182.000000$65.2k9.454%9.45%6,57326$64,358.000000$64,358.000000$64.4k8.243%8.24%37,13037.1k$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%730$63,972.000000$63,972.000000$64.0k9.831%9.83%8,82827$63,127.000000$63,127.000000$63.1k8.829%8.83%16,19216.2k28$61,967.000000$61,967.000000$62.0k6.214%6.21%4,26029$61,453.000000$61,453.000000$61.5k8.481%8.48%11,70211.7k30$60,380.000000$60,380.000000$60.4k8.953%8.95%13,25513.3k31$60,369.000000$60,369.000000$60.4k5.278%5.28%3,61832$60,259.000000$60,259.000000$60.3k8.539%8.54%12,73712.7k33$60,124.000000$60,124.000000$60.1k8.849%8.85%6,00634$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k35$57,952.000000$57,952.000000$58.0k8.152%8.15%6,43236$56,544.000000$56,544.000000$56.5k7.657%7.66%4,52137$56,017.000000$56,017.000000$56.0k5.821%5.82%3,39538$56,000.000000$56,000.000000$56.0k7.037%7.04%4,30539$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k40$53,526.000000$53,526.000000$53.5k6.288%6.29%9,40941$52,944.000000$52,944.000000$52.9k7.354%7.35%6,89242$50,302.000000$50,302.000000$50.3k6.885%6.88%6,11043$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k44$49,874.000000$49,874.000000$49.9k6.420%6.42%3,54845$49,737.000000$49,737.000000$49.7k5.284%5.28%3,52446$48,263.000000$48,263.000000$48.3k6.341%6.34%7,66447$47,046.000000$47,046.000000$47.0k6.096%6.10%3,83048$46,956.000000$46,956.000000$47.0k7.130%7.13%5,66349$44,107.000000$44,107.000000$44.1k6.011%6.01%4,21150
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations 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.

Management Occupations by County Subdivision#169

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%5%10%15%Count#ManhattanWashingtonSeattle EastPlanoSan FranciscoAtlantaNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseSeattleDenverAustinBrown DeerBrown Deer School DistrictBrown DeerBrown DeerTownship 1:Charlotte1, CharlotteSan DiegoBostonSalt Lake CitySalt Lk CityOceanside-EscondidoOceanside-Escond…Milwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesTampaNortheast DallasNE DallasMidwestSan Fernando ValleySan Fernando VlyTown of HempsteadHempsteadChicagoLos AngelesWisconsinTulsaOntarioEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…PhoenixLong Beach-LakewoodLong Bch-LakewoodMiamiBrooklynAlbuquerqueColumbusSacramentoOrlandoEast San Gabriel ValleyE San Gabriel VlyHoustonFort WorthTucsonBaltimoreMilwaukee CountyMilwaukeeQueensFresnoSouthwest DallasSW DallasPhiladelphiaLas VegasEl PasoMilwaukeeSan Antonio CentralSan Antonio CntrlBronxSan BernardinoDetroit16.529703%16.529703%16.5%147,580148k116.121186%16.121186%16.1%56,13856.1k215.623293%15.623293%15.6%47,46747.5k315.500861%15.500861%15.5%44,83544.8k414.223023%14.223023%14.2%69,48869.5k513.662246%13.662246%13.7%38,89338.9k613.543186%13.543186%13.5%40,10340.1k712.957054%12.957054%13.0%47,46747.5k812.910751%12.910751%12.9%113,179113k912.801437%12.801437%12.8%74,54274.5k1012.512177%12.512177%12.5%45,08245.1k1111.961508%11.961508%12.0%56,55756.6k1211.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.663665%11.663665%11.7%48,44248.4k1310.848509%10.848509%10.8%121,208121k1410.835836%10.835836%10.8%38,39738.4k1510.525230%10.525230%10.5%52,53752.5k1610.133175%10.133175%10.1%30,64130.6k1710.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M10.028996%10.028996%10.0%32,16632.2k1810.007978%10.007978%10.0%77,27077.3k199.823005%9.823005%9.8%3,193,2973.19M9.795739%9.795739%9.8%88,35688.4k209.718042%9.718042%9.7%37,03437.0k219.686446%9.686446%9.7%125,034125k229.638628%9.638628%9.6%120,847121k239.621594%9.621594%9.6%280,021280k9.593634%9.593634%9.6%27,52527.5k249.541810%9.541810%9.5%28,47428.5k259.526275%9.526275%9.5%2,096,2572.10M9.322089%9.322089%9.3%75,84275.8k269.253836%9.253836%9.3%135,932136k279.157509%9.157509%9.2%25,00025.0k289.095453%9.095453%9.1%40,03440.0k299.054172%9.054172%9.1%107,970108k308.957758%8.957758%9.0%26,64126.6k318.938711%8.938711%8.9%37,82837.8k328.891262%8.891262%8.9%43,38143.4k338.790113%8.790113%8.8%25,48525.5k348.784352%8.784352%8.8%38,22338.2k358.760640%8.760640%8.8%139,658140k368.691664%8.691664%8.7%33,63533.6k378.648273%8.648273%8.6%33,07833.1k388.534917%8.534917%8.5%23,46323.5k398.243033%8.243033%8.2%37,13037.1k7.882772%7.882772%7.9%88,33388.3k407.734261%7.734261%7.7%21,61221.6k417.610727%7.610727%7.6%34,04434.0k427.552407%7.552407%7.6%49,46249.5k437.324046%7.324046%7.3%63,32763.3k447.318891%7.318891%7.3%16,39616.4k456.680024%6.680024%6.7%17,83717.8k466.157572%6.157572%6.2%17,49217.5k475.787761%5.787761%5.8%33,33633.3k485.217072%5.217072%5.2%17,47517.5k494.999593%4.999593%5.0%11,05911.1k50

Management Income by County Subdivision#194

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$50k$100k%Count#San JoseManhattanSeattle EastSan FranciscoTown of HempsteadHempsteadPlanoWashingtonNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSeattleAtlantaOceanside-EscondidoOceanside-Escond…BostonTownship 1:Charlotte1, CharlotteOntarioSan DiegoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…ChicagoMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeBrooklynHoustonSan Fernando ValleySan Fernando VlyLos AngelesNortheast DallasNE DallasLong Beach-LakewoodLong Bch-LakewoodUnited States of AmericaUnited StatesDenverEast North CentralSacramentoFresnoSalt Lake CitySalt Lk CityMidwestAustinQueensFort WorthBaltimoreSouthwest DallasSW DallasPhoenixTulsaTampaWisconsinMilwaukee CountyMilwaukeeEast San Gabriel ValleyE San Gabriel VlyBrown DeerBrown Deer School DistrictBrown DeerBrown DeerTucsonAlbuquerqueMiamiLas VegasPhiladelphiaSan BernardinoColumbusOrlandoBronxMilwaukeeEl PasoDetroitSan Antonio CentralSan Antonio Cntrl$121,475.000000$121,475.000000$121.5k12.911%12.9%113,179113k1$110,093.000000$110,093.000000$110.1k16.530%16.5%147,580148k2$107,201.000000$107,201.000000$107.2k15.623%15.6%47,46747.5k3$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k4$95,504.000000$95,504.000000$95.5k9.718%9.72%37,03437.0k5$93,520.000000$93,520.000000$93.5k15.501%15.5%44,83544.8k6$91,833.000000$91,833.000000$91.8k16.121%16.1%56,13856.1k7$88,013.000000$88,013.000000$88.0k13.543%13.5%40,10340.1k8$86,256.000000$86,256.000000$86.3k12.957%13.0%47,46747.5k9$84,827.000000$84,827.000000$84.8k12.801%12.8%74,54274.5k10$83,822.000000$83,822.000000$83.8k13.662%13.7%38,89338.9k11$83,730.000000$83,730.000000$83.7k10.133%10.1%30,64130.6k12$81,070.000000$81,070.000000$81.1k10.836%10.8%38,39738.4k13$78,952.000000$78,952.000000$79.0k11.664%11.7%48,44248.4k14$77,318.000000$77,318.000000$77.3k9.542%9.54%28,47428.5k15$77,183.000000$77,183.000000$77.2k10.849%10.8%121,208121k16$76,982.000000$76,982.000000$77.0k9.322%9.32%75,84275.8k17$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k18$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$75,289.000000$75,289.000000$75.3k9.054%9.05%107,970108k19$75,216.000000$75,216.000000$75.2k8.761%8.76%139,658140k20$74,051.000000$74,051.000000$74.1k9.796%9.80%88,35688.4k21$73,486.000000$73,486.000000$73.5k9.639%9.64%120,847121k22$73,381.000000$73,381.000000$73.4k10.008%10.0%77,27077.3k23$73,132.000000$73,132.000000$73.1k9.158%9.16%25,00025.0k24$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,368.000000$71,368.000000$71.4k12.512%12.5%45,08245.1k25$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,450.000000$70,450.000000$70.5k8.891%8.89%43,38143.4k26$69,746.000000$69,746.000000$69.7k7.734%7.73%21,61221.6k27$69,155.000000$69,155.000000$69.2k10.525%10.5%52,53752.5k28$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,333.000000$68,333.000000$68.3k11.962%12.0%56,55756.6k29$68,144.000000$68,144.000000$68.1k7.883%7.88%88,33388.3k30$67,702.000000$67,702.000000$67.7k8.692%8.69%33,63533.6k31$67,413.000000$67,413.000000$67.4k8.535%8.53%23,46323.5k32$66,772.000000$66,772.000000$66.8k7.611%7.61%34,04434.0k33$66,764.000000$66,764.000000$66.8k9.254%9.25%135,932136k34$66,751.000000$66,751.000000$66.8k9.594%9.59%27,52527.5k35$65,992.000000$65,992.000000$66.0k10.029%10.0%32,16632.2k36$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$64,358.000000$64,358.000000$64.4k8.243%8.24%37,13037.1k$64,331.000000$64,331.000000$64.3k8.784%8.78%38,22338.2k37$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%730$64,280.000000$64,280.000000$64.3k11.950%11.9%730$63,298.000000$63,298.000000$63.3k8.648%8.65%33,07833.1k38$62,324.000000$62,324.000000$62.3k8.958%8.96%26,64126.6k39$62,119.000000$62,119.000000$62.1k9.095%9.10%40,03440.0k40$61,788.000000$61,788.000000$61.8k7.324%7.32%63,32763.3k41$60,825.000000$60,825.000000$60.8k7.552%7.55%49,46249.5k42$60,105.000000$60,105.000000$60.1k5.217%5.22%17,47517.5k43$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k44$58,762.000000$58,762.000000$58.8k8.790%8.79%25,48525.5k45$57,795.000000$57,795.000000$57.8k5.788%5.79%33,33633.3k46$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k47$51,466.000000$51,466.000000$51.5k7.319%7.32%16,39616.4k48$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k49$46,393.000000$46,393.000000$46.4k6.158%6.16%17,49217.5k50
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Definitions

An occupation describes the kind of work a person does on the job. On this page, all employed persons are categorized into one of the following occupations (bolded terms are used in the charts and maps on this page):

  • Management, business, science, and arts occupations:
    • Management, business, and financial occupations:
      • Management: Management occupations
      • Business: Business and financial operations occupations
    • Computer, engineering, and science occupations:
      • Computers & Math: Computer and mathematical occupations
      • Engineering: Architecture and engineering occupations
      • Science: Life, physical, and social science occupations
    • Education, legal, community service, arts, and media occupations:
      • Social Service: Community and social service occupations
      • Legal: Legal occupations
      • Education: Education, training, and library occupations
      • Entertainment: Arts, design, entertainment, sports, and media occupations
    • Healthcare practitioners and technical occupations:
      • Healthcare: Health diagnosing and treating practitioners and other technical occupations
      • Health Technicians: Health technologists and technicians
  • Service occupations:
    • Healthcare Support: Healthcare support occupations
    • Protective service occupations:
      • Fire Fighting: Fire fighting and prevention, and other protective service workers including supervisors
      • Law Enforcement: Law enforcement workers including supervisors
    • Food Service: Food preparation and serving related occupations
    • Facilities: Building and grounds cleaning and maintenance occupations
    • Personal Care: Personal care and service occupations
  • Sales and office occupations:
    • Sales and Related: Sales and related occupations
    • Administrative: Office and administrative support occupations
  • Natural resources, construction, and maintenance occupations:
    • Farming: Farming, fishing, and forestry occupations
    • Construction: Construction and extraction occupations
    • Repair: Installation, maintenance, and repair occupations
  • Production, transportation, and material moving occupations:
    • Production: Production occupations
    • Transportation: Transportation occupations
    • Material Moving: Material moving occupations

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:
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