Occupations in Brown Deer, Wisconsin (Village)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%5%10%CountAdministrativeManagementSales and RelatedEducation1Business2Healthcare3Food ServiceHealthcare SupportSocial ServiceProductionComputers & MathPersonal CareFire FightingFacilitiesHealth TechniciansTransportationEngineering4Material MovingConstruction5Entertainment6Repair7ScienceLegalLaw EnforcementFarming813.701097%13.298348%13.701097%13.7%83711.949583%9.621594%11.949583%11.9%7308.495662%9.547719%8.495662%8.5%5197.889998%5.703769%7.889998%7.9%4827.448028%4.616954%7.448028%7.4%4555.434605%4.128591%5.434605%5.4%3325.336389%5.761803%5.336389%5.3%3264.403339%2.732981%4.403339%4.4%2694.026846%1.595175%4.026846%4.0%2464.010476%9.974199%4.010476%4.0%2453.863153%2.457171%3.863153%3.9%2363.814045%3.436679%3.814045%3.8%2332.831887%0.797261%2.831887%2.8%1732.700933%3.410324%2.700933%2.7%1652.291701%1.849510%2.291701%2.3%1402.111639%3.395481%2.111639%2.1%1291.816991%1.874730%1.816991%1.8%1111.784253%3.340229%1.784253%1.8%1091.522344%4.174393%1.522344%1.5%931.391390%1.636613%1.391390%1.4%851.325913%3.230139%1.325913%1.3%810.589294%0.850176%0.589294%0.6%360.507448%0.700468%0.507448%0.5%310.507448%0.826983%0.507448%0.5%310.245539%1.038711%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 Wisconsin, among the civilian employed population aged 16 and older.
Scope: population of Wisconsin and Brown Deer
Less Common
More Common
0%100%200%%ref.Fire FightingSocial ServiceBusiness1Healthcare SupportComputers & MathEducation2Healthcare3ManagementHealth TechniciansPersonal CareAdministrativeEngineering4Food ServiceSales and RelatedEntertainment5FacilitiesLegalScienceTransportationLaw EnforcementMaterial MovingRepair6ProductionConstruction7Farming8255.202012%255.202012%255.2%2.832%2.83%0.797%0.80%152.439115%152.439115%152.4%4.027%4.03%1.595%1.60%61.319091%61.319091%61.3%7.448%7.45%4.617%4.62%61.118573%61.118573%61.1%4.403%4.40%2.733%2.73%57.219544%57.219544%57.2%3.863%3.86%2.457%2.46%38.329568%38.329568%38.3%7.890%7.89%5.704%5.70%31.633393%31.633393%31.6%5.435%5.43%4.129%4.13%24.195458%24.195458%24.2%11.950%11.9%9.622%9.62%23.908561%23.908561%23.9%2.292%2.29%1.850%1.85%10.980548%10.980548%11.0%3.814%3.81%3.437%3.44%3.028564%3.028564%3.0%13.701%13.7%13.298%13.3%-3.079842%-3.079842%3.1%1.817%1.82%1.875%1.87%-7.383350%-7.383350%7.4%5.336%5.34%5.762%5.76%-11.018937%-11.018937%11.0%8.496%8.50%9.548%9.55%-14.983606%-14.983606%15.0%1.391%1.39%1.637%1.64%-20.801286%-20.801286%20.8%2.701%2.70%3.410%3.41%-27.555882%-27.555882%27.6%0.507%0.51%0.700%0.70%-30.685579%-30.685579%30.7%0.589%0.59%0.850%0.85%-37.810321%-37.810321%37.8%2.112%2.11%3.395%3.40%-38.638616%-38.638616%38.6%0.507%0.51%0.827%0.83%-46.582929%-46.582929%46.6%1.784%1.78%3.340%3.34%-58.951843%-58.951843%59.0%1.326%1.33%3.230%3.23%-59.791494%-59.791494%59.8%4.010%4.01%9.974%9.97%-63.531370%-63.531370%63.5%1.522%1.52%4.174%4.17%-76.361138%-76.361138%76.4%0.246%0.25%1.039%1.04%
% percentage of occupation in Brown Deer
ref. percentage of occupation in Wisconsin
1Business and finance 2Education, training, and library 3Health diagnosing and treating practitioners 4Engineering and architecture 5Arts, design, entertainment, sports, and media 6Installation, maintenance, and repair 7Construction and extraction 8Farming, fishing, and forestry

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Wisconsin and Brown Deer
Female Male
Wisconsin
Brown Deer
2x1x0x1x2xFMTransportationHealth TechniciansSales and RelatedFood ServiceScienceComputers & MathLegalLaw EnforcementManagementFacilitiesAll OccupationsFire FightingHealthcare1Personal CareHealthcare SupportEducation2AdministrativeSocial Service-1.000000x-1.000000x-1.000000x2.909091x7.510895x2.909091x2.91x3396-1.000000x-5.745238x-1.000000x1.800000x1.000000x1.800000x1.80x5090-1.000000x-1.000000x-1.000000x1.703125x1.014565x1.703125x1.70x192327-1.000000x-1.450182x-1.000000x1.650407x1.000000x1.650407x1.65x123203-1.000000x-1.000000x-1.000000x1.250000x1.251206x1.250000x1.25x1620-1.000000x-1.000000x-1.000000x1.145455x2.566683x1.145455x1.15x110126-1.000000x-1.174971x-1.000000x1.066667x1.000000x1.066667x1.07x1516-1.000000x-1.000000x-1.000000x1.066667x4.117585x1.066667x1.07x1516-1.050562x-1.000000x-1.050562x1.05x1.000000x1.567846x1.000000x374356-1.062500x-1.000000x-1.062500x1.06x1.000000x1.667993x1.000000x8580-1.142757x-1.000000x-1.142757x1.14x1.000000x1.073830x1.000000x3,2582,851-1.189873x-1.000000x-1.189873x1.19x1.000000x2.480798x1.000000x9479-1.534351x-3.214078x-1.534351x1.53x1.000000x1.000000x1.000000x201131-1.647727x-4.260005x-1.647727x1.65x1.000000x1.000000x1.000000x14588-2.320988x-9.134939x-2.320988x2.32x1.000000x1.000000x1.000000x18881-2.492754x-2.620480x-2.492754x2.49x1.000000x1.000000x1.000000x344138-2.687225x-2.876317x-2.687225x2.69x1.000000x1.000000x1.000000x610227-2.727273x-2.135765x-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 Wisconsin and Brown Deer
Brown Deer
Wisconsin
0%50%100%PartFullSciencePersonal CareFacilitiesFood ServiceFire FightingTransportationAdministrativeHealth TechniciansHealthcare1Social ServiceAll OccupationsSales and RelatedEducation2Healthcare SupportMaterial MovingManagementProductionBusiness3Computers & MathEngineering4LegalEntertainment5Law EnforcementFarming6Construction7Repair8100.000000%25.999273%100.000000%100.0%36075.536481%56.059349%75.536481%75.5%1765758.787879%49.845847%58.787879%58.8%976853.374233%67.832522%53.374233%53.4%17415247.976879%38.473473%47.976879%48.0%839047.286822%35.415908%47.286822%47.3%616841.935484%34.630142%41.935484%41.9%35148632.142857%37.802590%32.142857%32.1%459530.120482%34.902959%30.120482%30.1%10023226.829268%28.120625%26.829268%26.8%6618026.812899%32.645956%26.812899%26.8%1,6384,47123.892100%37.093471%23.892100%23.9%12439521.991701%44.089422%21.991701%22.0%10637615.241636%49.966683%15.241636%15.2%4122812.844037%35.256964%12.844037%12.8%149511.232877%13.330786%11.232877%11.2%8264811.020408%18.821633%11.020408%11.0%272188.351648%17.637997%8.351648%8.4%384177.203390%13.943114%7.203390%7.2%172190.000000%0.000000%0.0%12.805850%01110.000000%0.000000%0.0%18.483273%0310.000000%0.000000%0.0%41.624152%0850.000000%0.000000%0.0%6.465016%0310.000000%0.000000%0.0%34.720476%0150.000000%0.000000%0.0%31.392966%0930.000000%0.000000%0.0%15.324228%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 Wisconsin and Brown Deer
Brown Deer
Wisconsin
$0k$20k$40k$60k$80k%CountComputers & MathEngineering1Fire FightingManagementConstruction2Healthcare3Repair4Entertainment5Business6All OccupationsSales and RelatedTransportationProductionSocial ServiceEducation7AdministrativeHealth TechniciansFacilitiesMaterial MovingHealthcare SupportFood ServicePersonal Care$80,022.000000$68,988.000000$80,022.000000$80.0k3.863%3.86%236$73,750.000000$69,003.000000$73,750.000000$73.8k1.817%1.82%111$65,606.000000$43,851.000000$65,606.000000$65.6k2.832%2.83%173$64,280.000000$65,783.000000$64,280.000000$64.3k11.950%11.9%730$63,125.000000$47,153.000000$63,125.000000$63.1k1.522%1.52%93$60,313.000000$69,945.000000$60,313.000000$60.3k5.435%5.43%332$55,438.000000$46,218.000000$55,438.000000$55.4k1.326%1.33%81$55,104.000000$45,632.000000$55,104.000000$55.1k1.391%1.39%85$54,497.000000$54,611.000000$54,497.000000$54.5k7.448%7.45%455$46,217.000000$43,873.000000$46,217.000000$46.2k100.000%100%6,109$41,875.000000$43,673.000000$41,875.000000$41.9k8.496%8.50%519$41,486.000000$44,188.000000$41,486.000000$41.5k2.112%2.11%129$40,897.000000$39,012.000000$40,897.000000$40.9k4.010%4.01%245$38,789.000000$44,342.000000$38,789.000000$38.8k4.027%4.03%246$37,333.000000$48,234.000000$37,333.000000$37.3k7.890%7.89%482$36,475.000000$35,742.000000$36,475.000000$36.5k13.701%13.7%837$35,997.000000$40,498.000000$35,997.000000$36.0k2.292%2.29%140$35,357.000000$30,138.000000$35,357.000000$35.4k2.701%2.70%165$30,592.000000$32,277.000000$30,592.000000$30.6k1.784%1.78%109$28,500.000000$28,218.000000$28,500.000000$28.5k4.403%4.40%269$20,586.000000$21,712.000000$20,586.000000$20.6k5.336%5.34%326$17,096.000000$24,286.000000$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 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.

Management Occupations by Place#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
0%5%10%15%20%25%Count#ChenequaOconomowoc LakeOconomowoc LkLac La BelleMertonFox PointMequonNashotahRiver HillsWaubekaWhitefish BaySummitBrookfieldCedarburgPewaukeeBaysideElm GroveOconomowocShorewoodEagleMuskegoDelafieldRichfieldNew BerlinJacksonWalesOkauchee LakeBrown Deer School DistrictBrown DeerBrown DeerGraftonWauwatosaMenomonee FallsFranklinHartlandPort WashingtonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMidwestWaukeshaWisconsinEast North CentralGreenfieldFredoniaAllentonMilwaukee CountyMilwaukeeWest AllisMilwaukeeCudahyBelgiumSouth MilwaukeeS MilwaukeeKewaskumWest MilwaukeeW Milwaukee26.484018%26.484018%26.5%58126.086957%26.086957%26.1%72224.637681%24.637681%24.6%34321.856764%21.856764%21.9%412420.697882%20.697882%20.7%694520.044763%20.044763%20.0%2,239619.134993%19.134993%19.1%146718.801090%18.801090%18.8%138818.230563%18.230563%18.2%68917.779668%17.779668%17.8%1,2541017.160494%17.160494%17.2%4171116.611833%16.611833%16.6%3,0801216.611130%16.611130%16.6%9971316.208947%16.208947%16.2%1,1451416.114180%16.114180%16.1%3501516.065911%16.065911%16.1%4681615.827854%15.827854%15.8%1,3241715.366050%15.366050%15.4%1,1461815.346038%15.346038%15.3%1531914.013388%14.013388%14.0%1,9262013.793103%13.793103%13.8%5202113.038906%13.038906%13.0%8682212.859513%12.859513%12.9%2,7902312.665256%12.665256%12.7%4792412.543554%12.543554%12.5%1802512.132205%12.132205%12.1%3012611.949583%11.949583%11.9%73011.949583%11.949583%11.9%7302711.939366%11.939366%11.9%7642811.923449%11.923449%11.9%3,0842911.832995%11.832995%11.8%2,2733011.749703%11.749703%11.7%1,9813211.032410%11.032410%11.0%5143710.451011%10.451011%10.5%6724110.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M9.823005%9.823005%9.8%3,193,2973.19M9.697016%9.697016%9.7%3,847449.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M9.461576%9.461576%9.5%1,752469.114140%9.114140%9.1%107508.552632%8.552632%8.6%52558.243033%8.243033%8.2%37,13037.1k7.467330%7.467330%7.5%2,400566.680024%6.680024%6.7%17,83717.8k596.624954%6.624954%6.6%540606.537530%6.537530%6.5%81616.471952%6.471952%6.5%698624.625056%4.625056%4.6%103633.696304%3.696304%3.7%7464

Management Income by Place#56

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in the Milwaukee Area, and entities that contain Brown Deer
$0k$50k$100k$150k%Count#ChenequaLac La BelleMertonThiensvilleNashotahWalesRiver HillsMequonElm GroveSummitBaysidePewaukeeShorewoodWhitefish BayBrookfieldFox PointDelafieldRichfieldMenomonee FallsGreendaleDousmanSlingerSussexGermantownMuskegoFranklinCedarburgOconomowocGraftonOconomowoc LakeOconomowoc LkHartlandWauwatosaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWaukeshaUnited States of AmericaUnited StatesOkauchee LakeEast North CentralHartfordMidwestWisconsinMilwaukee CountyMilwaukeeBrown Deer School DistrictBrown DeerBrown DeerBig BendSouth MilwaukeeS MilwaukeeMilwaukeeFredoniaButlerWest AllisAllentonKewaskumSt. Francis$155,417.000000$155,417.000000$155.4k26.484%26.5%581$133,750.000000$133,750.000000$133.8k24.638%24.6%342$126,797.000000$126,797.000000$126.8k21.857%21.9%4123$123,958.000000$123,958.000000$124.0k9.332%9.33%1554$120,208.000000$120,208.000000$120.2k19.135%19.1%1465$117,500.000000$117,500.000000$117.5k12.544%12.5%1806$112,969.000000$112,969.000000$113.0k18.801%18.8%1387$111,420.000000$111,420.000000$111.4k20.045%20.0%2,2398$107,768.000000$107,768.000000$107.8k16.066%16.1%4689$104,531.000000$104,531.000000$104.5k17.160%17.2%41710$103,472.000000$103,472.000000$103.5k16.114%16.1%35011$103,347.000000$103,347.000000$103.3k16.209%16.2%1,14512$101,500.000000$101,500.000000$101.5k15.366%15.4%1,14613$101,406.000000$101,406.000000$101.4k17.780%17.8%1,25414$100,541.000000$100,541.000000$100.5k16.612%16.6%3,08015$99,868.000000$99,868.000000$99.9k20.698%20.7%69416$95,278.000000$95,278.000000$95.3k13.793%13.8%52017$94,554.000000$94,554.000000$94.6k13.039%13.0%86818$91,685.000000$91,685.000000$91.7k11.833%11.8%2,27319$89,931.000000$89,931.000000$89.9k9.854%9.85%67620$89,375.000000$89,375.000000$89.4k10.824%10.8%13421$86,438.000000$86,438.000000$86.4k11.715%11.7%33622$84,545.000000$84,545.000000$84.5k11.183%11.2%66123$83,833.000000$83,833.000000$83.8k11.790%11.8%1,27924$83,617.000000$83,617.000000$83.6k14.013%14.0%1,92625$83,597.000000$83,597.000000$83.6k11.750%11.7%1,98126$83,576.000000$83,576.000000$83.6k16.611%16.6%99727$81,386.000000$81,386.000000$81.4k15.828%15.8%1,32428$80,819.000000$80,819.000000$80.8k11.939%11.9%76429$79,375.000000$79,375.000000$79.4k26.087%26.1%7230$78,750.000000$78,750.000000$78.8k11.032%11.0%51432$76,973.000000$76,973.000000$77.0k11.923%11.9%3,08433$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$73,227.000000$73,227.000000$73.2k9.697%9.70%3,84737$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,639.000000$71,639.000000$71.6k12.132%12.1%30141$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$69,112.000000$69,112.000000$69.1k9.537%9.54%71146$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$64,358.000000$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%73049$62,813.000000$62,813.000000$62.8k8.914%8.91%6450$57,329.000000$57,329.000000$57.3k6.472%6.47%69855$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k58$53,482.000000$53,482.000000$53.5k9.114%9.11%10759$53,333.000000$53,333.000000$53.3k11.180%11.2%10860$52,457.000000$52,457.000000$52.5k7.467%7.47%2,40061$50,833.000000$50,833.000000$50.8k8.553%8.55%5262$47,379.000000$47,379.000000$47.4k4.625%4.63%10363$46,743.000000$46,743.000000$46.7k9.431%9.43%49664
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of place out of 64 by income in given occupation

Occupations 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.

Management Occupations by Place#77

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
0%5%10%15%20%Count#MequonBrookfieldOconomowocMuskegoPleasant PrairieNew BerlinFitchburgMiddletonBrown Deer School DistrictBrown DeerBrown DeerWauwatosaCaledoniaMenomonee FallsGermantownFranklinOak CreekMount PleasantMt PleasantOnalaskaSun PrairieMadisonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesDe PereMidwestAshwaubenonWaukeshaWisconsinEast North CentralGreenfieldHowardNeenahJanesvilleMilwaukee CountyMilwaukeeAppletonSuperiorMarshfieldWest AllisGreen BayWest BendFond du LacOshkoshKenoshaStevens PointMilwaukeeCudahySouth MilwaukeeS MilwaukeeRacineEau ClaireSheboyganWisconsin RapidsManitowocMenashaWausauBeloitWatertownLa 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%73011.923449%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%918238.654841%8.654841%8.7%1,171248.382485%8.382485%8.4%2,615258.243033%8.243033%8.2%37,13037.1k7.828030%7.828030%7.8%3,048267.586363%7.586363%7.6%1,008277.492941%7.492941%7.5%743287.467330%7.467330%7.5%2,400297.073279%7.073279%7.1%3,667306.985427%6.985427%7.0%1,160316.945253%6.945253%6.9%1,431326.905961%6.905961%6.9%2,303336.844206%6.844206%6.8%3,138346.778846%6.778846%6.8%987356.680024%6.680024%6.7%17,83717.8k366.624954%6.624954%6.6%540376.471952%6.471952%6.5%698386.337798%6.337798%6.3%2,134396.239122%6.239122%6.2%2,366406.216417%6.216417%6.2%1,504416.206132%6.206132%6.2%504426.089183%6.089183%6.1%975436.077653%6.077653%6.1%551445.995463%5.995463%6.0%1,110455.873026%5.873026%5.9%889465.846658%5.846658%5.8%713475.605654%5.605654%5.6%1,610485.358043%5.358043%5.4%425495.253899%5.253899%5.3%44850

Management Income by Place#102

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in Wisconsin, and entities that contain Brown Deer
$0k$50k$100k%Count#MequonBrookfieldMenomonee FallsOnalaskaPleasant PrairieCaledoniaMount PleasantMt PleasantGermantownMuskegoFranklinOconomowocAshwaubenonWauwatosaMarshfieldFitchburgMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeManitowocOak CreekNew BerlinAppletonWaukeshaUnited States of AmericaUnited StatesEast North CentralGreenfieldBeaver DamMiddletonKenoshaMadisonMidwestSun PrairieHowardDe PereWausauWisconsinNeenahWest BendMilwaukee CountyMilwaukeeBrown Deer School DistrictBrown DeerBrown DeerFond du LacMenashaOshkoshCudahyJanesvilleRacineSouth MilwaukeeS MilwaukeeEau ClaireSuperiorWatertownMilwaukeeWest 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$81,386.000000$81,386.000000$81.4k15.828%15.8%1,32411$78,346.000000$78,346.000000$78.3k9.712%9.71%87912$76,973.000000$76,973.000000$77.0k11.923%11.9%3,08413$76,838.000000$76,838.000000$76.8k7.493%7.49%74314$76,078.000000$76,078.000000$76.1k12.422%12.4%1,82915$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%97516$74,777.000000$74,777.000000$74.8k11.567%11.6%2,20117$74,517.000000$74,517.000000$74.5k12.860%12.9%2,79018$74,175.000000$74,175.000000$74.2k7.828%7.83%3,04819$73,227.000000$73,227.000000$73.2k9.697%9.70%3,84720$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$70,474.000000$70,474.000000$70.5k9.462%9.46%1,75221$69,643.000000$69,643.000000$69.6k5.358%5.36%42522$69,516.000000$69,516.000000$69.5k12.098%12.1%1,28023$69,116.000000$69,116.000000$69.1k6.844%6.84%3,13824$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k25$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%1,79026$67,857.000000$67,857.000000$67.9k8.996%9.00%91827$66,417.000000$66,417.000000$66.4k10.028%10.0%1,31628$65,893.000000$65,893.000000$65.9k5.995%6.00%1,11029$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$65,378.000000$65,378.000000$65.4k8.655%8.65%1,17130$64,659.000000$64,659.000000$64.7k6.985%6.99%1,16031$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$62,210.000000$62,210.000000$62.2k6.945%6.95%1,43132$61,336.000000$61,336.000000$61.3k6.078%6.08%55133$60,625.000000$60,625.000000$60.6k6.906%6.91%2,30334$60,365.000000$60,365.000000$60.4k6.625%6.62%54035$58,672.000000$58,672.000000$58.7k8.382%8.38%2,61536$58,059.000000$58,059.000000$58.1k6.338%6.34%2,13437$57,329.000000$57,329.000000$57.3k6.472%6.47%69838$57,061.000000$57,061.000000$57.1k6.239%6.24%2,36639$56,266.000000$56,266.000000$56.3k7.586%7.59%1,00840$55,588.000000$55,588.000000$55.6k5.847%5.85%71341$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 place out of 50 by income in given occupation

Occupations 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.

Management Occupations by Place#123

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
0%5%10%15%Count#NapervilleOverland ParkOlatheBrown Deer School DistrictBrown DeerBrown DeerMinneapolisAnn ArborMadisonColumbiaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMidwestChicagoWisconsinEast North CentralSpringfieldCedar RapidsOmahaPeoriaKansas CitySioux FallsLincolnColumbusFargoWichitaSt. PaulSt. LouisIndianapolisSterling HeightsSterling HtsAuroraCincinnatiRochesterMilwaukee CountyMilwaukeeFort WayneTopekaDavenportDearbornJolietGrand RapidsElginDes MoinesSpringfieldGreen BayAkronKenoshaMilwaukeeRockfordSouth BendIndependenceDaytonToledoEvansvilleLansingClevelandWarrenKansas CityDetroitFlint17.042837%17.042837%17.0%12,58012.6k114.855423%14.855423%14.9%14,75514.8k212.497347%12.497347%12.5%8,834311.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.090883%11.090883%11.1%25,34325.3k410.163555%10.163555%10.2%6,065510.142086%10.142086%10.1%14,53314.5k610.139225%10.139225%10.1%6,365710.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M9.823005%9.823005%9.8%3,193,2973.19M9.686446%9.686446%9.7%125,034125k89.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M9.473588%9.473588%9.5%5,16599.453745%9.453745%9.5%6,573109.255914%9.255914%9.3%20,95421.0k119.184494%9.184494%9.2%4,684129.034554%9.034554%9.0%21,35121.4k138.982572%8.982572%9.0%8,329148.952573%8.952573%9.0%13,25513.3k158.942500%8.942500%8.9%38,75038.8k168.848749%8.848749%8.8%6,006178.828501%8.828501%8.8%16,19216.2k188.615624%8.615624%8.6%12,87212.9k198.539382%8.539382%8.5%12,73712.7k208.530679%8.530679%8.5%34,45234.5k218.523147%8.523147%8.5%5,422228.487545%8.487545%8.5%8,297238.480632%8.480632%8.5%11,70211.7k248.361249%8.361249%8.4%4,942258.243033%8.243033%8.2%37,13037.1k7.921083%7.921083%7.9%9,692267.657261%7.657261%7.7%4,521277.619785%7.619785%7.6%3,742287.429006%7.429006%7.4%2,637297.393326%7.393326%7.4%5,231307.353898%7.353898%7.4%6,892317.295908%7.295908%7.3%3,960327.188143%7.188143%7.2%7,755337.129728%7.129728%7.1%5,663347.073279%7.073279%7.1%3,667356.884817%6.884817%6.9%6,110366.844206%6.844206%6.8%3,138376.680024%6.680024%6.7%17,83717.8k386.642308%6.642308%6.6%4,163396.589041%6.589041%6.6%2,886406.506386%6.506386%6.5%3,464416.420093%6.420093%6.4%3,548426.340644%6.340644%6.3%7,664436.337083%6.337083%6.3%3,543446.318320%6.318320%6.3%3,364456.287799%6.287799%6.3%9,409465.821231%5.821231%5.8%3,395475.284388%5.284388%5.3%3,524484.999593%4.999593%5.0%11,05911.1k493.706075%3.706075%3.7%1,10050

Management Income by Place#148

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in the Midwest, and entities that contain Brown Deer
$0k$50k$100k%Count#NapervilleOverland ParkAnn ArborPeoriaAuroraSpringfieldOlatheChicagoMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSterling HeightsSterling HtsUnited States of AmericaUnited StatesEast North CentralRochesterElginKenoshaMinneapolisMadisonMidwestSt. PaulOmahaKansas CityWisconsinCedar RapidsJolietRockfordDearbornMilwaukee CountyMilwaukeeBrown Deer School DistrictBrown DeerBrown DeerWichitaSioux FallsCincinnatiIndianapolisDes MoinesLincolnSt. LouisFargoFort WayneColumbusTopekaDavenportWarrenMilwaukeeClevelandGrand RapidsGreen BayColumbiaAkronDetroitLansingSouth BendDaytonKansas CityIndependenceToledoSpringfieldEvansvilleFlint$120,242.000000$120,242.000000$120.2k17.043%17.0%12,58012.6k1$85,786.000000$85,786.000000$85.8k14.855%14.9%14,75514.8k2$82,929.000000$82,929.000000$82.9k10.164%10.2%6,0653$82,786.000000$82,786.000000$82.8k9.184%9.18%4,6844$81,048.000000$81,048.000000$81.0k8.488%8.49%8,2975$80,069.000000$80,069.000000$80.1k9.474%9.47%5,1656$79,184.000000$79,184.000000$79.2k12.497%12.5%8,8347$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k8$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%5,4229$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$70,457.000000$70,457.000000$70.5k8.361%8.36%4,94210$69,333.000000$69,333.000000$69.3k7.296%7.30%3,96011$69,116.000000$69,116.000000$69.1k6.844%6.84%3,13812$68,933.000000$68,933.000000$68.9k11.091%11.1%25,34325.3k13$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k14$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$67,483.000000$67,483.000000$67.5k8.616%8.62%12,87212.9k15$66,221.000000$66,221.000000$66.2k9.256%9.26%20,95421.0k16$65,942.000000$65,942.000000$65.9k9.035%9.03%21,35121.4k17$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$65,182.000000$65,182.000000$65.2k9.454%9.45%6,57318$64,591.000000$64,591.000000$64.6k7.393%7.39%5,23119$64,542.000000$64,542.000000$64.5k6.642%6.64%4,16320$64,537.000000$64,537.000000$64.5k7.429%7.43%2,63721$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$63,127.000000$63,127.000000$63.1k8.829%8.83%16,19216.2k22$62,140.000000$62,140.000000$62.1k8.983%8.98%8,32923$61,453.000000$61,453.000000$61.5k8.481%8.48%11,70211.7k24$60,506.000000$60,506.000000$60.5k8.531%8.53%34,45234.5k25$60,400.000000$60,400.000000$60.4k7.188%7.19%7,75526$60,380.000000$60,380.000000$60.4k8.953%8.95%13,25513.3k27$60,259.000000$60,259.000000$60.3k8.539%8.54%12,73712.7k28$60,124.000000$60,124.000000$60.1k8.849%8.85%6,00629$59,536.000000$59,536.000000$59.5k7.921%7.92%9,69230$59,406.000000$59,406.000000$59.4k8.943%8.94%38,75038.8k31$56,544.000000$56,544.000000$56.5k7.657%7.66%4,52132$56,250.000000$56,250.000000$56.3k7.620%7.62%3,74233$56,017.000000$56,017.000000$56.0k5.821%5.82%3,39534$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k35$53,526.000000$53,526.000000$53.5k6.288%6.29%9,40936$52,944.000000$52,944.000000$52.9k7.354%7.35%6,89237$51,776.000000$51,776.000000$51.8k7.073%7.07%3,66738$51,042.000000$51,042.000000$51.0k10.139%10.1%6,36539$50,302.000000$50,302.000000$50.3k6.885%6.88%6,11040$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k41$50,221.000000$50,221.000000$50.2k6.318%6.32%3,36442$50,133.000000$50,133.000000$50.1k6.589%6.59%2,88643$49,874.000000$49,874.000000$49.9k6.420%6.42%3,54844$49,737.000000$49,737.000000$49.7k5.284%5.28%3,52445$49,288.000000$49,288.000000$49.3k6.506%6.51%3,46446$48,263.000000$48,263.000000$48.3k6.341%6.34%7,66447$46,956.000000$46,956.000000$47.0k7.130%7.13%5,66348$44,167.000000$44,167.000000$44.2k6.337%6.34%3,54349$37,632.000000$37,632.000000$37.6k3.706%3.71%1,10050
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of place out of 50 by income in given occupation

Occupations 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.

Management Occupations by Place#169

Percentage of the civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in the United States, and entities that contain Brown Deer
0%5%10%15%Count#WashingtonSeattleSan FranciscoAtlantaDenverRaleighAustinBrown Deer School DistrictBrown DeerBrown DeerCharlottePortlandSan JoseOaklandMinneapolisSan DiegoVirginia BeachVirginia BchBostonColorado SpringsColorado SpgsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesNew YorkMidwestChicagoNashville-DavidsonWisconsinEast North CentralOklahoma CityLos AngelesOmahaPhoenixFort WorthMiamiDallasLong BeachKansas CityJacksonvilleColumbusAlbuquerqueWichitaTulsaLouisvilleSacramentoBaltimoreIndianapolisHoustonSan AntonioMesaArlingtonEl PasoMilwaukee CountyMilwaukeeLas VegasPhiladelphiaMemphisTucsonFresnoMilwaukeeClevelandDetroit16.121186%16.121186%16.1%56,13856.1k114.482924%14.482924%14.5%57,27257.3k214.223023%14.223023%14.2%69,48869.5k313.593190%13.593190%13.6%29,91129.9k412.512177%12.512177%12.5%45,08245.1k512.318859%12.318859%12.3%29,05629.1k612.235944%12.235944%12.2%62,22162.2k711.949583%11.949583%11.9%73011.949583%11.949583%11.9%73011.663665%11.663665%11.7%48,44248.4k811.451507%11.451507%11.5%38,06038.1k911.361392%11.361392%11.4%56,83456.8k1011.198314%11.198314%11.2%23,11523.1k1111.090883%11.090883%11.1%25,34325.3k1211.024488%11.024488%11.0%73,85973.9k1310.931599%10.931599%10.9%23,73623.7k1410.835836%10.835836%10.8%38,39738.4k1510.793159%10.793159%10.8%22,70622.7k1610.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M9.915305%9.915305%9.9%395,781396k179.823005%9.823005%9.8%3,193,2973.19M9.686446%9.686446%9.7%125,034125k189.686025%9.686025%9.7%32,96633.0k199.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M9.406453%9.406453%9.4%27,91627.9k209.255983%9.255983%9.3%176,223176k219.255914%9.255914%9.3%20,95421.0k229.254368%9.254368%9.3%66,28766.3k239.169305%9.169305%9.2%34,69534.7k249.083882%9.083882%9.1%18,33218.3k259.066233%9.066233%9.1%56,34856.3k269.048877%9.048877%9.0%20,04120.0k279.034554%9.034554%9.0%21,35121.4k288.957206%8.957206%9.0%35,34235.3k298.942500%8.942500%8.9%38,75038.8k308.924684%8.924684%8.9%23,37023.4k318.828501%8.828501%8.8%16,19216.2k328.694967%8.694967%8.7%16,54416.5k338.640428%8.640428%8.6%25,23125.2k348.624270%8.624270%8.6%18,56418.6k358.534917%8.534917%8.5%23,46323.5k368.530679%8.530679%8.5%34,45234.5k378.489789%8.489789%8.5%92,76392.8k388.460838%8.460838%8.5%55,56355.6k398.443649%8.443649%8.4%18,12118.1k408.374435%8.374435%8.4%16,11316.1k418.289786%8.289786%8.3%23,16123.2k428.243033%8.243033%8.2%37,13037.1k7.602876%7.602876%7.6%20,71720.7k437.552407%7.552407%7.6%49,46249.5k446.969860%6.969860%7.0%20,01220.0k456.869088%6.869088%6.9%15,99016.0k466.791033%6.791033%6.8%13,77513.8k476.680024%6.680024%6.7%17,83717.8k486.287799%6.287799%6.3%9,409494.999593%4.999593%5.0%11,05911.1k50

Management Income by Place#194

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Brown Deer, selected other places in the United States, and entities that contain Brown Deer
$0k$50k$100k%Count#San JoseSan FranciscoWashingtonSeattleOaklandAtlantaNew YorkBostonSan DiegoCharlotteHoustonChicagoMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeDallasLong BeachUnited States of AmericaUnited StatesAustinRaleighLos AngelesDenverPortlandEast North CentralSacramentoFort WorthMinneapolisColorado SpringsColorado SpgsMidwestBaltimorePhoenixVirginia BeachVirginia BchOmahaKansas CityWisconsinLouisvilleTulsaMilwaukee CountyMilwaukeeBrown Deer School DistrictBrown DeerBrown DeerFresnoMesaWichitaMiamiArlingtonNashville-DavidsonOklahoma CityLas VegasAlbuquerquePhiladelphiaJacksonvilleIndianapolisSan AntonioColumbusMemphisMilwaukeeEl PasoClevelandTucsonDetroit$106,457.000000$106,457.000000$106.5k11.361%11.4%56,83456.8k1$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k2$91,833.000000$91,833.000000$91.8k16.121%16.1%56,13856.1k3$89,724.000000$89,724.000000$89.7k14.483%14.5%57,27257.3k4$87,851.000000$87,851.000000$87.9k11.198%11.2%23,11523.1k5$84,959.000000$84,959.000000$85.0k13.593%13.6%29,91129.9k6$82,558.000000$82,558.000000$82.6k9.915%9.92%395,781396k7$81,070.000000$81,070.000000$81.1k10.836%10.8%38,39738.4k8$78,963.000000$78,963.000000$79.0k11.024%11.0%73,85973.9k9$78,952.000000$78,952.000000$79.0k11.664%11.7%48,44248.4k10$77,063.000000$77,063.000000$77.1k8.490%8.49%92,76392.8k11$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k12$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$73,329.000000$73,329.000000$73.3k9.066%9.07%56,34856.3k13$72,589.000000$72,589.000000$72.6k9.049%9.05%20,04120.0k14$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$72,369.000000$72,369.000000$72.4k12.236%12.2%62,22162.2k15$71,986.000000$71,986.000000$72.0k12.319%12.3%29,05629.1k16$71,945.000000$71,945.000000$71.9k9.256%9.26%176,223176k17$71,368.000000$71,368.000000$71.4k12.512%12.5%45,08245.1k18$71,006.000000$71,006.000000$71.0k11.452%11.5%38,06038.1k19$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,663.000000$70,663.000000$70.7k8.624%8.62%18,56418.6k20$70,604.000000$70,604.000000$70.6k9.169%9.17%34,69534.7k21$68,933.000000$68,933.000000$68.9k11.091%11.1%25,34325.3k22$68,597.000000$68,597.000000$68.6k10.793%10.8%22,70622.7k23$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$67,413.000000$67,413.000000$67.4k8.535%8.53%23,46323.5k24$67,019.000000$67,019.000000$67.0k9.254%9.25%66,28766.3k25$66,473.000000$66,473.000000$66.5k10.932%10.9%23,73623.7k26$66,221.000000$66,221.000000$66.2k9.256%9.26%20,95421.0k27$65,942.000000$65,942.000000$65.9k9.035%9.03%21,35121.4k28$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$64,731.000000$64,731.000000$64.7k8.640%8.64%25,23125.2k29$64,361.000000$64,361.000000$64.4k8.695%8.69%16,54416.5k30$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$63,480.000000$63,480.000000$63.5k6.791%6.79%13,77513.8k31$63,439.000000$63,439.000000$63.4k8.444%8.44%18,12118.1k32$63,127.000000$63,127.000000$63.1k8.829%8.83%16,19216.2k33$63,056.000000$63,056.000000$63.1k9.084%9.08%18,33218.3k34$62,597.000000$62,597.000000$62.6k8.374%8.37%16,11316.1k35$62,356.000000$62,356.000000$62.4k9.686%9.69%32,96633.0k36$62,169.000000$62,169.000000$62.2k9.406%9.41%27,91627.9k37$61,799.000000$61,799.000000$61.8k7.603%7.60%20,71720.7k38$61,767.000000$61,767.000000$61.8k8.925%8.92%23,37023.4k39$60,825.000000$60,825.000000$60.8k7.552%7.55%49,46249.5k40$60,626.000000$60,626.000000$60.6k8.957%8.96%35,34235.3k41$60,506.000000$60,506.000000$60.5k8.531%8.53%34,45234.5k42$60,232.000000$60,232.000000$60.2k8.461%8.46%55,56355.6k43$59,406.000000$59,406.000000$59.4k8.943%8.94%38,75038.8k44$58,067.000000$58,067.000000$58.1k6.970%6.97%20,01220.0k45$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k46$53,593.000000$53,593.000000$53.6k8.290%8.29%23,16123.2k47$53,526.000000$53,526.000000$53.5k6.288%6.29%9,40948$51,200.000000$51,200.000000$51.2k6.869%6.87%15,99016.0k49$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k50
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of place 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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Demographics

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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