Occupations in Golden Valley, Milwaukee, Wisconsin (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Golden Valley
Golden Valley
Milwaukee
0%5%10%15%CountAdministrativeManagementProductionBusiness1Sales and RelatedHealthcare2Entertainment3Food ServiceFacilitiesEngineering4Computers & MathEducation5Social ServiceTransportationRepair6Health TechniciansLegalLaw EnforcementMaterial MovingPersonal CareHealthcare SupportScienceConstruction7Fire FightingFarming816.243455%13.786233%16.243455%16.2%2762778.714065%6.680024%8.714065%8.7%1488.320703%10.571118%8.320703%8.3%1411426.980813%4.000824%6.980813%7.0%1181196.398004%8.658902%6.398004%6.4%1081095.949194%2.925624%5.949194%5.9%1015.430206%2.060894%5.430206%5.4%925.365523%7.706539%5.365523%5.4%914.297065%4.723991%4.297065%4.3%733.721288%1.410007%3.721288%3.7%633.561887%1.890121%3.561887%3.6%60613.341085%6.172571%3.341085%3.3%56573.325298%2.014081%3.325298%3.3%56572.838101%3.184780%2.838101%2.8%482.534650%2.128305%2.534650%2.5%432.171116%1.797993%2.171116%2.2%36371.986281%0.860235%1.986281%2.0%33341.827316%1.101041%1.827316%1.8%311.761532%3.546176%1.761532%1.8%29301.173915%4.998127%1.173915%1.2%19201.161639%4.030410%1.161639%1.2%19201.129630%0.625421%1.129630%1.1%190.961453%3.282526%0.961453%1.0%160.784075%1.518987%0.784075%0.8%130.021706%0.325069%0.021706%0.0%0
Count number of people employed in given occupation
1Business and finance 2Health diagnosing and treating practitioners 3Arts, design, entertainment, sports, and media 4Engineering and architecture 5Education, training, and library 6Installation, maintenance, and repair 7Construction and extraction 8Farming, fishing, and forestry

Relative Occupations#2

Percentage more or less common in Golden Valley than in Milwaukee, among the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Golden Valley
Less Common
More Common
0%100%%ref.Engineering1Entertainment2LegalHealthcare3Computers & MathScienceBusiness4Law EnforcementSocial ServiceManagementHealth TechniciansRepair5AdministrativeFacilitiesTransportationProductionSales and RelatedFood ServiceEducation6Fire FightingMaterial MovingConstruction7Healthcare SupportPersonal CareFarming8163.919850%163.919850%163.9%3.721%3.72%1.410%1.41%163.487831%163.487831%163.5%5.430%5.43%2.061%2.06%130.899721%130.899721%130.9%1.986%1.99%0.860%0.86%103.347883%103.347883%103.3%5.949%5.95%2.926%2.93%88.447593%88.447593%88.4%3.562%3.56%1.890%1.89%80.619087%80.619087%80.6%1.130%1.13%0.625%0.63%74.484389%74.484389%74.5%6.981%6.98%4.001%4.00%65.962544%65.962544%66.0%1.827%1.83%1.101%1.10%65.102491%65.102491%65.1%3.325%3.33%2.014%2.01%30.449606%30.449606%30.4%8.714%8.71%6.680%6.68%20.752238%20.752238%20.8%2.171%2.17%1.798%1.80%19.092417%19.092417%19.1%2.535%2.53%2.128%2.13%17.823733%17.823733%17.8%16.243%16.2%13.786%13.8%-9.037396%-9.037396%9.0%4.297%4.30%4.724%4.72%-10.885483%-10.885483%10.9%2.838%2.84%3.185%3.18%-21.288335%-21.288335%21.3%8.321%8.32%10.571%10.6%-26.110675%-26.110675%26.1%6.398%6.40%8.659%8.66%-30.377006%-30.377006%30.4%5.366%5.37%7.707%7.71%-45.872074%-45.872074%45.9%3.341%3.34%6.173%6.17%-48.381761%-48.381761%48.4%0.784%0.78%1.519%1.52%-50.325873%-50.325873%50.3%1.762%1.76%3.546%3.55%-70.709957%-70.709957%70.7%0.961%0.96%3.283%3.28%-71.178137%-71.178137%71.2%1.162%1.16%4.030%4.03%-76.512903%-76.512903%76.5%1.174%1.17%4.998%5.00%-93.322572%-93.322572%93.3%0.022%0.02%0.325%0.33%
% percentage of occupation in Golden Valley
ref. percentage of occupation in Milwaukee
1Engineering and architecture 2Arts, design, entertainment, sports, and media 3Health diagnosing and treating practitioners 4Business and finance 5Installation, maintenance, and repair 6Education, training, and library 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 Milwaukee and Golden Valley
Female Male
Milwaukee
Golden Valley
2x1x0x1x2xFMProductionEntertainment1FacilitiesFood ServiceAll OccupationsSales and RelatedBusiness2Personal CareHealth TechniciansManagementHealthcare3Administrative-1.000000x-1.000000x-1.000000x2.920351x2.274594x2.920351x2.92x36105106-1.000000x-1.000000x-1.000000x2.566532x1.063367x2.566532x2.57x25266667-1.000000x-1.000000x-1.000000x2.235062x1.206016x2.235062x2.24x22235051-1.000000x-1.000000x-1.000000x1.344190x1.017649x1.344190x1.34x383952-1.000000x-1.064178x-1.000000x1.214610x1.000000x1.214610x1.21x768769933934-1.000000x-1.295800x-1.000000x1.038278x1.000000x1.038278x1.04x5355-1.000628x-1.563715x-1.000628x1.00x1.000000x1.000000x1.000000x5959-1.342077x-3.199497x-1.342077x1.34x1.000000x1.000000x1.000000x1189-1.569281x-4.293275x-1.569281x1.57x1.000000x1.000000x1.000000x222314-1.906041x-1.000000x-1.906041x1.91x1.000000x1.045528x1.000000x9751-2.360541x-3.428571x-2.360541x2.36x1.000000x1.000000x1.000000x7130-2.420423x-2.477423x-2.420423x2.42x1.000000x1.000000x1.000000x1951968081
F number of females employed in given occupation
M number of males employed in given occupation
1Arts, design, entertainment, sports, and media 2Business and finance 3Health diagnosing and treating practitioners

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Milwaukee and Golden Valley
Golden Valley
Milwaukee
0%50%100%PartFullFarming1Healthcare SupportFacilitiesPersonal CareConstruction2LegalAdministrativeEntertainment3Social ServiceHealthcare4Sales and RelatedFood ServiceAll OccupationsBusiness5Education6Health TechniciansProductionTransportationMaterial MovingRepair7Computers & MathManagementEngineering8ScienceFire FightingLaw Enforcement100.000000%40.783410%100.000000%100.0%0091.676283%44.982345%91.676283%91.7%181259.893897%46.234343%59.893897%59.9%43442957.302861%54.862880%57.302861%57.3%118950.490422%35.276669%50.490422%50.5%8849.453595%15.803222%49.453595%49.5%16171747.047236%34.472455%47.047236%47.0%13014642.509898%45.611485%42.509898%42.5%395333.344263%28.188918%33.344263%33.3%1819373832.233804%28.763441%32.233804%32.2%3233686930.997265%45.707366%30.997265%31.0%33347528.012744%57.853047%28.012744%28.0%2526656626.793819%34.955434%26.793819%26.8%4561,24623.921113%16.062904%23.921113%23.9%289023.297005%43.756826%23.297005%23.3%13434418.097366%33.930431%18.097366%18.1%673014.569570%19.793106%14.569570%14.6%202112111.294772%35.700847%11.294772%11.3%542431.792346%36.804309%1.792346%1.8%01291.557057%20.323773%1.557057%1.6%01420.720204%14.107391%0.720204%0.7%0600.679349%16.493805%0.679349%0.7%11470.000000%0.000000%0.0%17.954847%0630.000000%0.000000%0.0%30.718563%0190.000000%0.000000%0.0%32.075937%0130.000000%0.000000%0.0%4.557823%031
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Farming, fishing, and forestry 2Construction and extraction 3Arts, design, entertainment, sports, and media 4Health diagnosing and treating practitioners 5Business and finance 6Education, training, and library 7Installation, maintenance, and repair 8Engineering and architecture

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Milwaukee and Golden Valley
Golden Valley
Milwaukee
$0k$20k$40k$60k$80k%CountComputers & MathConstruction1Law EnforcementHealthcare2Sales and RelatedBusiness3ManagementEngineering4Education5All OccupationsProductionHealth TechniciansSocial ServiceFood ServiceTransportationAdministrativeFacilitiesMaterial Moving$87,632.000000$63,917.000000$87,632.000000$87.6k3.562%3.56%6061$77,736.000000$37,469.000000$77,736.000000$77.7k0.961%0.96%16$66,364.000000$66,904.000000$66,364.000000$66.4k1.827%1.83%31$61,991.000000$60,994.000000$61,991.000000$62.0k5.949%5.95%101$61,958.876913$35,784.000000$61,958.876913$62.0k6.398%6.40%108109$60,844.401232$50,210.000000$60,844.401232$60.8k6.981%6.98%118119$55,643.539009$55,511.000000$55,643.539009$55.6k8.714%8.71%148$52,974.232036$60,807.000000$52,974.232036$53.0k3.721%3.72%63$50,004.482608$44,587.000000$50,004.482608$50.0k3.341%3.34%5657$49,342.922887$37,378.000000$49,342.922887$49.3k100.000%100%1,702$45,697.919458$31,389.000000$45,697.919458$45.7k8.321%8.32%141142$41,103.000000$39,298.000000$41,103.000000$41.1k2.171%2.17%3637$40,753.760129$41,683.000000$40,753.760129$40.8k3.325%3.33%5657$35,694.000000$21,582.000000$35,694.000000$35.7k5.366%5.37%91$32,277.485759$35,989.000000$32,277.485759$32.3k2.838%2.84%48$31,352.235603$34,695.000000$31,352.235603$31.4k16.243%16.2%276277$21,204.000000$23,991.000000$21,204.000000$21.2k4.297%4.30%73$12,006.000000$27,417.000000$12,006.000000$12.0k1.762%1.76%2930
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Construction and extraction 2Health diagnosing and treating practitioners 3Business and finance 4Engineering and architecture 5Education, training, and library 6Arts, design, entertainment, sports, and media 7Farming, fishing, and forestry 8Installation, maintenance, and repair

Map of Occupations by Tract in Golden Valley

Management Occupations by Tract#6

Percentage of the population aged 16 and older employed with occupation: management (%):
5.1%6.9%8.6%10.3%12.1%13.8%

Business Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
2.9%4.2%5.3%6.5%7.7%8.9%

Computers & Math Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
0.4%1.1%1.8%2.4%3.1%3.8%

Engineering Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
1.68%2.11%2.54%2.97%3.40%3.84%

Science Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: science (%):
0.0%1.0%2.0%3.1%4.1%5.2%

Social Service Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: social service (%):
1.5%2.3%3.1%3.9%4.7%5.5%

Legal Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.4%1.1%1.7%2.4%3.0%3.7%

Education Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
3.2%4.3%5.4%6.6%7.7%8.8%

Entertainment Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
0.5%1.6%2.6%3.6%4.7%5.7%

Healthcare Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
2.0%2.9%3.8%4.7%5.6%6.6%

Health Technicians Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
1.12%1.34%1.56%1.79%2.01%2.23%

Healthcare Support Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
1.08%1.40%1.71%2.03%2.34%2.66%

Fire Fighting Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
0.776%0.805%0.833%0.861%0.890%0.918%

Law Enforcement Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.30%0.62%0.93%1.24%1.55%1.87%

Food Service Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: food service (%):
1.1%2.1%2.9%3.8%4.7%5.6%

Facilities Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: facilities (%):
0.4%1.2%2.0%2.8%3.6%4.5%

Personal Care Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: personal care (%):
0.9%1.7%2.5%3.2%3.9%4.7%

Sales and Related Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
5.9%7.7%9.4%11.1%12.8%14.6%

Administrative Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: administrative (%):
14.8%15.6%16.4%17.2%18.0%18.8%

Farming Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
0.00%0.08%0.17%0.25%0.34%0.43%

Construction Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
0.8%1.3%1.9%2.4%2.9%3.5%

Repair Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
0.81%1.17%1.53%1.88%2.23%2.59%

Production Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: production (%):
4.6%6.1%7.5%9.0%10.4%11.9%

Transportation Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: transportation (%):
1.4%2.2%3.1%3.9%4.7%5.6%

Material Moving Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: material moving (%):
1.5%2.4%3.2%4.0%4.8%5.6%
Road Data ©OpenStreetMap

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Occupations by Neighborhood in Milwaukee

There are 204 neighborhoods in Milwaukee. This section compares Golden Valley to all of the neighborhoods in Milwaukee and to those entities that contain or substantially overlap with Golden Valley.

Management Occupations by Neighborhood#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of Golden Valley, selected other neighborhoods in Milwaukee, and entities that contain Golden Valley
0%5%10%15%20%Count#Historic Third Ward NeighborhoodHist Third WardHarbor View NeighborhoodHarbor ViewMenomonee River Valley NeighborhoodMenomonee Riv VlyFernwood NeighborhoodFernwoodGolden Gate NeighborhoodGolden GateMack Acres NeighborhoodMack AcresPark Ridge NeighborhoodPark RidgeSheraton Lawns NeighborhoodSheraton LawnsCooper Park NeighborhoodCooper ParkJuneau Town NeighborhoodJuneau TownYankee Hill NeighborhoodYankee HillPheasant Run NeighborhoodPheasant RunRiverton Heights NeighborhoodRiverton HtsPark Place NeighborhoodPark PlaceCalumet Farms NeighborhoodCalumet FarmsWashington Heights NeighborhoodWashington HtsWellauer Heights NeighborhoodWellauer HtsRavenswood NeighborhoodRavenswoodBrewer's Hill NeighborhoodBrewer's HillTosa East Town NeighborhoodTosa E TownCharles Jacobus Park NeighborhoodCharles Jacobus PkKilbourn Town NeighborhoodKilbourn TownJones'Island NeighborhoodJones'IslandEnderis Park NeighborhoodEnderis ParkNorthpoint NeighborhoodNorthpointLower East Side NeighborhoodLower E SideRosehill NeighborhoodRosehillUpper East Side NeighborhoodUpper E SideTosa Heights NeighborhoodTosa HeightsGranville Station NeighborhoodGranville StationMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesBay View NeighborhoodBay ViewMidwestWisconsinEast North CentralRidgeview NeighborhoodRidgeviewGolden Valley NeighborhoodGolden ValleyZIP Code 53222ZIP 53222Rufus King NeighborhoodRufus KingMilwaukee CountyMilwaukeeJackson Park NeighborhoodJackson ParkMilwaukeeTown of Lake NeighborhoodTown of LakeMount Olivet NeighborhoodMount OlivetWilson Park NeighborhoodWilson ParkSilver Spring NeighborhoodSilver SpringSaint Joseph NeighborhoodSaint JosephRiver Bend NeighborhoodRiver BendMiller Valley NeighborhoodMiller ValleyVeterans Affairs NeighborhoodVeterans AffairsFairfield NeighborhoodFairfieldLincoln Village NeighborhoodLincoln VlgMuskego Way NeighborhoodMuskego WayBaran Park NeighborhoodBaran ParkHavenwoods NeighborhoodHavenwoodsClock Tower Acres NeighborhoodClock Tower Acres23.813355%23.813355%23.8%292122.744576%22.744576%22.7%64222.347244%22.347244%22.3%1718314.777618%14.777618%14.8%291413.806452%13.806452%13.8%45513.806452%13.806452%13.8%12613.789581%13.789581%13.8%6364713.789581%13.789581%13.8%26813.763921%13.763921%13.8%264265912.984753%12.984753%13.0%4261012.911426%12.911426%12.9%2802811112.726651%12.726651%12.7%97981212.726651%12.726651%12.7%80811312.726651%12.726651%12.7%671412.726651%12.726651%12.7%1321331512.549828%12.549828%12.5%4754761612.385321%12.385321%12.4%561812.385321%12.385321%12.4%51521712.326456%12.326456%12.3%1801911.981680%11.981680%12.0%3563572011.801769%11.801769%11.8%1791802111.607668%11.607668%11.6%1631642211.557244%11.557244%11.6%012311.539664%11.539664%11.5%2192411.496299%11.496299%11.5%2472511.213221%11.213221%11.2%1,0171,0182611.125654%11.125654%11.1%90912710.852170%10.852170%10.9%2562572810.574814%10.574814%10.6%56572910.520711%10.520711%10.5%41423010.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M9.853967%9.853967%9.9%996997369.823005%9.823005%9.8%3,193,2973.19M9.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M9.302326%9.302326%9.3%10438.714065%8.714065%8.7%148468.615340%8.615340%8.6%1,1948.393443%8.393443%8.4%144578.243033%8.243033%8.2%37,13037.1k7.317618%7.317618%7.3%281282726.680024%6.680024%6.7%17,83717.8k6.509149%6.509149%6.5%179866.308201%6.308201%6.3%10111005.695265%5.695265%5.7%711145.067971%5.067971%5.1%2281264.992449%4.992449%5.0%1381284.594017%4.594017%4.6%38391434.107045%4.107045%4.1%15161573.547672%3.547672%3.5%341712.975019%2.975019%3.0%30311852.032741%2.032741%2.0%1001961.944451%1.944451%1.9%83841971.893096%1.893096%1.9%231981.152889%1.152889%1.2%121990.482109%0.482109%0.5%3200

Management Income by Neighborhood#56

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Golden Valley, selected other neighborhoods in Milwaukee, and entities that contain Golden Valley
$0k$50k$100k%Count#Wellauer Heights NeighborhoodWellauer HtsRavenswood NeighborhoodRavenswoodPark Ridge NeighborhoodPark RidgeSheraton Lawns NeighborhoodSheraton LawnsHampton Heights NeighborhoodHampton HtsDowner Woods NeighborhoodDowner WoodsUpper East Side NeighborhoodUpper E SideQuarry Heights NeighborhoodQuarry HtsRosehill NeighborhoodRosehillCharles Jacobus Park NeighborhoodCharles Jacobus PkKilbourn Town NeighborhoodKilbourn TownHistoric Third Ward NeighborhoodHist Third WardThe Valley-Pigsville NeighborhoodThe Vly-PigsvilleMcGovern Park NeighborhoodMcGovern ParkNorth Meadows NeighborhoodNorth MeadowsDretzka Park NeighborhoodDretzka ParkNorth Granville NeighborhoodN GranvilleGra-Ram NeighborhoodGra-RamMenomonee River Valley NeighborhoodMenomonee Riv VlyMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeAlverno NeighborhoodAlvernoHarder's Oaks NeighborhoodHarder's OaksNorthpoint NeighborhoodNorthpointClayton Crest NeighborhoodClayton CrestTosa East Town NeighborhoodTosa E TownMorgan Heights NeighborhoodMorgan HtsAlcott Park NeighborhoodAlcott ParkFernwood NeighborhoodFernwoodUnited States of AmericaUnited StatesHarbor View NeighborhoodHarbor ViewEast North CentralMill Valley NeighborhoodMill ValleyLayton Park NeighborhoodLayton ParkMidwestYankee Hill NeighborhoodYankee HillWisconsinLincoln Village NeighborhoodLincoln VlgMilwaukee CountyMilwaukeeCalumet Farms NeighborhoodCalumet FarmsZIP Code 53222ZIP 53222Dineen Park NeighborhoodDineen ParkLower East Side NeighborhoodLower E SideBay View NeighborhoodBay ViewCastle Manor NeighborhoodCastle ManorGolden Valley NeighborhoodGolden ValleyMilwaukeeHeritage Heights NeighborhoodHeritage HtsWoodland Court NeighborhoodWdlnd CourtBurnham Park NeighborhoodBurnham ParkMelody View NeighborhoodMelody ViewSilver Spring NeighborhoodSilver SpringCapitol Heights NeighborhoodCapitol HtsSouthpoint NeighborhoodSouthpointForest Home Hills NeighborhoodFrst Home HlsHilltop Paris NeighborhoodHilltop ParisNational Park NeighborhoodNational ParkValhalla NeighborhoodValhallaSilver City NeighborhoodSilver CityWalker's Point NeighborhoodWalker's Pt$100,694.000000$100,694.000000$100.7k12.385%12.4%561$100,694.000000$100,694.000000$100.7k12.385%12.4%51522$98,646.000000$98,646.000000$98.6k13.790%13.8%63643$98,646.000000$98,646.000000$98.6k13.790%13.8%264$92,337.000000$92,337.000000$92.3k4.245%4.24%1155$92,162.771869$92,162.771869$92.2k7.999%8.00%2186$89,305.522164$89,305.522164$89.3k10.852%10.9%2562577$87,772.000000$87,772.000000$87.8k6.178%6.18%58598$85,125.000000$85,125.000000$85.1k11.126%11.1%90919$84,018.050163$84,018.050163$84.0k11.802%11.8%17918010$80,250.000000$80,250.000000$80.3k11.608%11.6%16316411$79,722.000000$79,722.000000$79.7k23.813%23.8%29212$77,912.264883$77,912.264883$77.9k8.512%8.51%2613$77,578.000000$77,578.000000$77.6k3.937%3.94%454614$75,795.000000$75,795.000000$75.8k3.322%3.32%3615$75,795.000000$75,795.000000$75.8k3.322%3.32%131416$75,795.000000$75,795.000000$75.8k3.322%3.32%121317$75,625.000000$75,625.000000$75.6k5.523%5.52%515218$75,418.822897$75,418.822897$75.4k22.347%22.3%171819$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$74,188.000000$74,188.000000$74.2k4.643%4.64%262720$74,188.000000$74,188.000000$74.2k4.643%4.64%821$73,984.546538$73,984.546538$74.0k11.496%11.5%24722$73,279.714502$73,279.714502$73.3k10.120%10.1%6523$73,113.966092$73,113.966092$73.1k11.982%12.0%35635724$72,917.000000$72,917.000000$72.9k7.705%7.71%7625$72,917.000000$72,917.000000$72.9k7.705%7.71%545526$72,639.000000$72,639.000000$72.6k14.778%14.8%29127$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$70,981.610084$70,981.610084$71.0k22.745%22.7%6428$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,250.000000$70,250.000000$70.3k5.011%5.01%141529$70,215.923155$70,215.923155$70.2k3.060%3.06%10130$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$66,872.788850$66,872.788850$66.9k12.911%12.9%28028140$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$65,778.232070$65,778.232070$65.8k2.033%2.03%10047$64,358.000000$64,358.000000$64.4k8.243%8.24%37,13037.1k$64,231.000000$64,231.000000$64.2k12.727%12.7%13213353$62,358.000000$62,358.000000$62.4k8.615%8.62%1,194$61,250.000000$61,250.000000$61.3k3.024%3.02%545566$60,298.445659$60,298.445659$60.3k11.213%11.2%1,0171,01871$59,512.139943$59,512.139943$59.5k9.854%9.85%99699775$57,891.155175$57,891.155175$57.9k9.896%9.90%16679$55,643.539009$55,643.539009$55.6k8.714%8.71%14890$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k$55,250.000000$55,250.000000$55.3k9.457%9.46%242592$51,630.000000$51,630.000000$51.6k8.535%8.54%4546105$49,131.427264$49,131.427264$49.1k3.374%3.37%109110118$46,167.000000$46,167.000000$46.2k6.450%6.45%16131$45,699.649388$45,699.649388$45.7k5.068%5.07%228139$43,641.641341$43,641.641341$43.6k4.404%4.40%112144$41,236.351704$41,236.351704$41.2k7.174%7.17%104105157$37,734.000000$37,734.000000$37.7k2.698%2.70%4748170$34,643.000000$34,643.000000$34.6k9.302%9.30%5179$29,258.000000$29,258.000000$29.3k5.417%5.42%6162180$27,440.205812$27,440.205812$27.4k5.700%5.70%113114181$26,518.000000$26,518.000000$26.5k3.990%3.99%6768182$26,491.736286$26,491.736286$26.5k6.136%6.14%213183
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of neighborhood out of 183 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

Unlike the other geographical entities detailed on this site, neighborhoods are not recognized by the U.S. Census Bureau. To overcome this we have computed reasonable estimates of the same statistics that are presented for other the entity types. Each statistic is computed as the weighted sum or average of the census tracts or block groups that overlap the neighborhood. A weighted sum is used for counts of people or households, and a weighted average is used for statistics that are themselves some form of average, such as median household income. Census block groups are preferred when the statistic in question is available on the block group level. The weight for a given tract (or block group) is computed as the population of the census tabulation blocks that occupy the intersection between the tract and the neighborhood as a fraction of the total population of the neighborhood.

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Milwaukee
Metro Area:
Milwaukee Area
Cities:
Milwaukee, Wauwatosa
ZIP Code:
53222
Unified School Districts:
Milwaukee, Wauwatosa
Congressional Districts:
WI-4, WI-5
State Senate Districts:
WI-4, WI-5, WI-6
Assembly Districts:
WI-12, WI-14, WI-17
Neighboring Neighborhoods:
Grantosa, Kops Park, Lindsay Park, Mount Mary, Park Ridge, St. Amelian's, Tosa Heights
Nearby Neighborhoods:
Arlington Gardens, Columbus Park, Cooper Park, Currie Park Estates, Lovers Lanes Estates, Mayfair Park, Nash Park, Pasadena, Swan Park, Vogel Park