Occupations in Silver Swan, Milwaukee, Wisconsin (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Silver Swan
Silver Swan
Milwaukee
0%5%10%15%CountAdministrativeHealthcare SupportProductionPersonal CareFood ServiceSales and RelatedFacilitiesManagementMaterial MovingHealth TechniciansEducation1Business2TransportationRepair3Healthcare4Law EnforcementFarming5Construction6Fire FightingSocial ServiceEngineering7Computers & MathScienceLegalEntertainment819.411180%13.786233%19.411180%19.4%23912.007800%4.030410%12.007800%12.0%14714811.885222%10.571118%11.885222%11.9%1468.881929%4.998127%8.881929%8.9%1097.887787%7.706539%7.887787%7.9%976.005565%8.658902%6.005565%6.0%73745.778429%4.723991%5.778429%5.8%715.332429%6.680024%5.332429%5.3%65664.138062%3.546176%4.138062%4.1%50514.086549%1.797993%4.086549%4.1%503.262686%6.172571%3.262686%3.3%402.849344%4.000824%2.849344%2.8%352.493263%3.184780%2.493263%2.5%30311.650143%2.128305%1.650143%1.7%201.547009%2.925624%1.547009%1.5%190.803397%1.101041%0.803397%0.8%9100.584426%0.325069%0.584426%0.6%70.412536%3.282526%0.412536%0.4%50.343780%1.518987%0.343780%0.3%40.329062%2.014081%0.329062%0.3%40.309402%1.410007%0.309402%0.3%340.000000%0.000000%0.0%1.890121%00.000000%0.000000%0.0%0.625421%00.000000%0.000000%0.0%0.860235%00.000000%0.000000%0.0%2.060894%0
Count number of people employed in given occupation
1Education, training, and library 2Business and finance 3Installation, maintenance, and repair 4Health diagnosing and treating practitioners 5Farming, fishing, and forestry 6Construction and extraction 7Engineering and architecture 8Arts, design, entertainment, sports, and media

Relative Occupations#2

Percentage more or less common in Silver Swan than in Milwaukee, among the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Silver Swan
Less Common
More Common
100%0%100%%ref.Healthcare SupportHealth TechniciansFarming1Personal CareAdministrativeFacilitiesMaterial MovingProductionFood ServiceManagementTransportationRepair2Law EnforcementBusiness3Sales and RelatedHealthcare4Education5Fire FightingEngineering6Social ServiceConstruction7Computers & MathScienceLegalEntertainment8197.930014%197.930014%197.9%12.008%12.0%4.030%4.03%127.283952%127.283952%127.3%4.087%4.09%1.798%1.80%79.784973%79.784973%79.8%0.584%0.58%0.325%0.33%77.705122%77.705122%77.7%8.882%8.88%4.998%5.00%40.801190%40.801190%40.8%19.411%19.4%13.786%13.8%22.320922%22.320922%22.3%5.778%5.78%4.724%4.72%16.690809%16.690809%16.7%4.138%4.14%3.546%3.55%12.431075%12.431075%12.4%11.885%11.9%10.571%10.6%2.351874%2.351874%2.4%7.888%7.89%7.707%7.71%-20.173510%-20.173510%20.2%5.332%5.33%6.680%6.68%-21.713171%-21.713171%21.7%2.493%2.49%3.185%3.18%-22.466788%-22.466788%22.5%1.650%1.65%2.128%2.13%-27.032932%-27.032932%27.0%0.803%0.80%1.101%1.10%-28.781064%-28.781064%28.8%2.849%2.85%4.001%4.00%-30.642876%-30.642876%30.6%6.006%6.01%8.659%8.66%-47.122067%-47.122067%47.1%1.547%1.55%2.926%2.93%-47.142195%-47.142195%47.1%3.263%3.26%6.173%6.17%-77.367827%-77.367827%77.4%0.344%0.34%1.519%1.52%-78.056711%-78.056711%78.1%0.309%0.31%1.410%1.41%-83.661940%-83.661940%83.7%0.329%0.33%2.014%2.01%-87.432366%-87.432366%87.4%0.413%0.41%3.283%3.28%-100.000000%-100.000000%100.0%0.000%0%1.890%1.89%-100.000000%-100.000000%100.0%0.000%0%0.625%0.63%-100.000000%-100.000000%100.0%0.000%0%0.860%0.86%-100.000000%-100.000000%100.0%0.000%0%2.061%2.06%
% percentage of occupation in Silver Swan
ref. percentage of occupation in Milwaukee
1Farming, fishing, and forestry 2Installation, maintenance, and repair 3Business and finance 4Health diagnosing and treating practitioners 5Education, training, and library 6Engineering and architecture 7Construction and extraction 8Arts, design, entertainment, sports, and media

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Silver Swan
Female Male
Milwaukee
Silver Swan
2x1x0x1x2xFMFood ServiceProductionHealthcare1Law EnforcementMaterial MovingEngineering2All OccupationsAdministrativePersonal CareManagementEducation3-1.000000x-1.000000x-1.000000x2.717039x1.017649x2.717039x2.72x2671-1.000000x-1.000000x-1.000000x2.692285x2.274594x2.692285x2.69x3940106107-1.000000x-3.428571x-1.000000x2.461538x1.000000x2.461538x2.46x561314-1.000000x-1.000000x-1.000000x2.255305x2.833116x2.255305x2.26x367-1.000000x-1.000000x-1.000000x1.909618x3.630318x1.909618x1.91x171833-1.000000x-1.000000x-1.000000x1.250000x4.386266x1.250000x1.25x122-1.463224x-1.064178x-1.463224x1.46x1.000000x1.000000x1.000000x731732500-1.547628x-2.477423x-1.547628x1.55x1.000000x1.000000x1.000000x1459394-1.865727x-3.199497x-1.865727x1.87x1.000000x1.000000x1.000000x7138-1.918720x-1.000000x-1.918720x1.92x1.000000x1.045528x1.000000x432223-1.974534x-2.456070x-1.974534x1.97x1.000000x1.000000x1.000000x26271314
F number of females employed in given occupation
M number of males employed in given occupation
1Health diagnosing and treating practitioners 2Engineering and architecture 3Education, 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 and Silver Swan
Silver Swan
Milwaukee
0%50%100%PartFullSocial ServiceFarming1Education2Food ServiceHealth TechniciansPersonal CareFacilitiesEngineering3Healthcare SupportSales and RelatedRepair4All OccupationsAdministrativeFire FightingMaterial MovingHealthcare5Construction6ProductionTransportationBusiness7ManagementLaw Enforcement100.000000%28.188918%100.000000%100.0%40100.000000%40.783410%100.000000%100.0%7066.381294%43.756826%66.381294%66.4%2627131464.317452%57.853047%64.317452%64.3%62343564.255526%33.930431%64.255526%64.3%32171857.681539%54.862880%57.681539%57.7%634656.590549%46.234343%56.590549%56.6%40303155.555556%17.954847%55.555556%55.6%21254.781833%44.982345%54.781833%54.8%81666752.194037%45.707366%52.194037%52.2%38393541.666667%20.323773%41.666667%41.7%8111241.546976%34.955434%41.546976%41.5%51151271972037.902894%34.472455%37.902894%37.9%909114830.000000%32.075937%30.000000%30.0%12329.077125%36.804309%29.077125%29.1%14153628.888889%28.763441%28.888889%28.9%56131425.000000%35.276669%25.000000%25.0%13416.415154%19.793106%16.415154%16.4%2412213.198037%35.700847%13.198037%13.2%4262710.858704%16.062904%10.858704%10.9%34310.000000%0.000000%0.0%16.493805%065660.000000%0.000000%0.0%4.557823%0910
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Farming, fishing, and forestry 2Education, training, and library 3Engineering and architecture 4Installation, maintenance, and repair 5Health diagnosing and treating practitioners 6Construction and extraction 7Business and finance 8Arts, design, entertainment, sports, and media

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Milwaukee and Silver Swan
Silver Swan
Milwaukee
$0k$20k$40k%CountTransportationManagementProductionBusiness1AdministrativeHealth TechniciansHealthcare SupportAll OccupationsPersonal CareFacilitiesFood ServiceMaterial MovingSales and Related$46,250.000000$35,989.000000$46,250.000000$46.3k2.493%2.49%3031$37,257.985208$55,511.000000$37,257.985208$37.3k5.332%5.33%6566$37,180.745056$31,389.000000$37,180.745056$37.2k11.885%11.9%146$34,164.681595$50,210.000000$34,164.681595$34.2k2.849%2.85%35$32,298.360452$34,695.000000$32,298.360452$32.3k19.411%19.4%239$32,216.000000$39,298.000000$32,216.000000$32.2k4.087%4.09%50$30,551.044721$27,138.000000$30,551.044721$30.6k12.008%12.0%147148$29,235.874591$37,378.000000$29,235.874591$29.2k100.000%100%1,2311,232$27,101.223928$25,091.000000$27,101.223928$27.1k8.882%8.88%109$25,893.000000$23,991.000000$25,893.000000$25.9k5.778%5.78%71$21,038.298213$21,582.000000$21,038.298213$21.0k7.888%7.89%97$20,898.000000$27,417.000000$20,898.000000$20.9k4.138%4.14%5051$16,346.000000$35,784.000000$16,346.000000$16.3k6.006%6.01%7374
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Business and finance 2Engineering and architecture 3Education, training, and library 4Arts, design, entertainment, sports, and media 5Health diagnosing and treating practitioners 6Farming, fishing, and forestry 7Construction and extraction 8Installation, maintenance, and repair

Occupations by Neighborhood in Milwaukee

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

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Silver Swan, selected other neighborhoods in Milwaukee, and entities that contain Silver Swan
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 NeighborhoodRidgeviewRufus King NeighborhoodRufus KingMilwaukee CountyMilwaukeeJackson Park NeighborhoodJackson ParkMilwaukeeMilwaukee School DistrictMilwaukeeTown of Lake NeighborhoodTown of LakeMount Olivet NeighborhoodMount OlivetWilson Park NeighborhoodWilson ParkSilver Swan NeighborhoodSilver SwanSilver Spring NeighborhoodSilver SpringSaint Joseph NeighborhoodSaint JosephRiver Bend NeighborhoodRiver BendZIP Code 53225ZIP 53225Miller 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%10438.393443%8.393443%8.4%144578.243033%8.243033%8.2%37,13037.1k7.317618%7.317618%7.3%281282726.680024%6.680024%6.7%17,83717.8k6.680024%6.680024%6.7%17,83717.8k6.509149%6.509149%6.5%179866.308201%6.308201%6.3%10111005.695265%5.695265%5.7%711145.332429%5.332429%5.3%65661185.067971%5.067971%5.1%2281264.992449%4.992449%5.0%1381284.594017%4.594017%4.6%38391434.455198%4.455198%4.5%5344.107045%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#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Silver Swan, selected other neighborhoods in Milwaukee, and entities that contain Silver Swan
$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 FarmsDineen Park NeighborhoodDineen ParkLower East Side NeighborhoodLower E SideBay View NeighborhoodBay ViewCastle Manor NeighborhoodCastle ManorMilwaukeeMilwaukee School DistrictMilwaukeeZIP Code 53225ZIP 53225Heritage Heights NeighborhoodHeritage HtsWoodland Court NeighborhoodWdlnd CourtBurnham Park NeighborhoodBurnham ParkMelody View NeighborhoodMelody ViewSilver Spring NeighborhoodSilver SpringCapitol Heights NeighborhoodCapitol HtsSouthpoint NeighborhoodSouthpointForest Home Hills NeighborhoodFrst Home HlsSilver Swan NeighborhoodSilver SwanHilltop 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$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$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k$55,491.000000$55,491.000000$55.5k4.455%4.46%534$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$37,257.985208$37,257.985208$37.3k5.332%5.33%6566171$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
City:
Milwaukee
ZIP Code:
53225
Unified School District:
Milwaukee
Congressional District:
WI-4
State Senate District:
WI-4
Assembly District:
WI-12
Neighboring Neighborhoods:
Florist Highlands, Menomonee River Hills, Parkway Hills, Silver Spring, Timmerman Airport, Timmerman West, Valhalla
Nearby Neighborhoods:
Columbus Park, Golden Gate, Heritage Heights, Lindsay Park, Little Menomonee Parkway, Long View, Mack Acres, Maple Tree, Menomonee River Hills East, Vogel Park