Occupations in Thurston Woods, Milwaukee, Wisconsin (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Thurston Woods
Thurston Woods
Milwaukee
0%5%10%15%CountAdministrativeProductionPersonal CareSales and RelatedHealthcare SupportMaterial MovingTransportationEducation1FacilitiesManagementSocial ServiceFood ServiceConstruction2Entertainment3Business4Fire FightingHealthcare5LegalHealth TechniciansComputers & MathRepair6Engineering7ScienceLaw EnforcementFarming816.361585%13.786233%16.361585%16.4%26126211.629531%10.571118%11.629531%11.6%18518610.058055%4.998127%10.058055%10.1%1601617.675718%8.658902%7.675718%7.7%1221237.104895%4.030410%7.104895%7.1%1131146.841849%3.546176%6.841849%6.8%1096.215415%3.184780%6.215415%6.2%995.820838%6.172571%5.820838%5.8%935.545614%4.723991%5.545614%5.5%88894.269721%6.680024%4.269721%4.3%684.264290%2.014081%4.264290%4.3%683.414128%7.706539%3.414128%3.4%54552.973486%3.282526%2.973486%3.0%47482.028428%2.060894%2.028428%2.0%321.500971%4.000824%1.500971%1.5%23241.317927%1.518987%1.317927%1.3%210.871837%2.925624%0.871837%0.9%13140.715916%0.860235%0.715916%0.7%110.673882%1.797993%0.673882%0.7%10110.357958%1.890121%0.357958%0.4%560.357958%2.128305%0.357958%0.4%560.000000%0.000000%0.0%1.410007%00.000000%0.000000%0.0%0.625421%00.000000%0.000000%0.0%1.101041%00.000000%0.000000%0.0%0.325069%0

Relative Occupations#2

Percentage more or less common in Thurston Woods than in Milwaukee, among the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Thurston Woods
Less Common
More Common
100%0%100%%ref.Social ServicePersonal CareTransportationMaterial MovingHealthcare SupportAdministrativeFacilitiesProductionEntertainment1Education2Construction3Sales and RelatedFire FightingLegalManagementFood ServiceBusiness4Health TechniciansHealthcare5Computers & MathRepair6Engineering7ScienceLaw EnforcementFarming8111.723808%111.723808%111.7%4.264%4.26%2.014%2.01%101.236465%101.236465%101.2%10.058%10.1%4.998%5.00%95.159934%95.159934%95.2%6.215%6.22%3.185%3.18%92.935960%92.935960%92.9%6.842%6.84%3.546%3.55%76.282198%76.282198%76.3%7.105%7.10%4.030%4.03%18.680606%18.680606%18.7%16.362%16.4%13.786%13.8%17.392570%17.392570%17.4%5.546%5.55%4.724%4.72%10.012306%10.012306%10.0%11.630%11.6%10.571%10.6%-1.575368%-1.575368%1.6%2.028%2.03%2.061%2.06%-5.698322%-5.698322%5.7%5.821%5.82%6.173%6.17%-9.414702%-9.414702%9.4%2.973%2.97%3.283%3.28%-11.354601%-11.354601%11.4%7.676%7.68%8.659%8.66%-13.236499%-13.236499%13.2%1.318%1.32%1.519%1.52%-16.776755%-16.776755%16.8%0.716%0.72%0.860%0.86%-36.082253%-36.082253%36.1%4.270%4.27%6.680%6.68%-55.698303%-55.698303%55.7%3.414%3.41%7.707%7.71%-62.483463%-62.483463%62.5%1.501%1.50%4.001%4.00%-62.520295%-62.520295%62.5%0.674%0.67%1.798%1.80%-70.199956%-70.199956%70.2%0.872%0.87%2.926%2.93%-81.061641%-81.061641%81.1%0.358%0.36%1.890%1.89%-83.181085%-83.181085%83.2%0.358%0.36%2.128%2.13%-100.000000%-100.000000%100.0%0.000%0%1.410%1.41%-100.000000%-100.000000%100.0%0.000%0%0.625%0.63%-100.000000%-100.000000%100.0%0.000%0%1.101%1.10%-100.000000%-100.000000%100.0%0.000%0%0.325%0.33%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Milwaukee and Thurston Woods
Female Male
Milwaukee
Thurston Woods
2x1x0x1x2xFMHealthcare SupportFacilitiesPersonal CareAll OccupationsProductionSocial ServiceSales and RelatedManagementEntertainment1-1.031792x-6.427191x-1.031792x1.03x1.000000x1.000000x1.000000x57585556-1.269711x-1.000000x-1.269711x1.27x1.000000x1.206016x1.000000x495039-1.512874x-3.199497x-1.512874x1.51x1.000000x1.000000x1.000000x96976364-1.531995x-1.064178x-1.531995x1.53x1.000000x1.000000x1.000000x967631-1.552683x-1.000000x-1.552683x1.55x1.000000x2.274594x1.000000x1137273-1.552749x-2.423297x-1.552749x1.55x1.000000x1.000000x1.000000x412627-1.665251x-1.295800x-1.665251x1.67x1.000000x1.000000x1.000000x767746-1.703001x-1.000000x-1.703001x1.70x1.000000x1.045528x1.000000x424325-2.400000x-1.000000x-2.400000x2.40x1.000000x1.063367x1.000000x2223910

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Milwaukee and Thurston Woods
Thurston Woods
Milwaukee
0%50%100%PartFullRepair1Food ServiceHealthcare SupportMaterial MovingFacilitiesEducation2Personal CareSales and RelatedSocial ServiceBusiness3All OccupationsFire FightingConstruction4ManagementTransportationAdministrativeHealthcare5ProductionHealth TechniciansComputers & MathLegalEntertainment6100.000000%20.323773%100.000000%100.0%56075.496392%57.853047%75.496392%75.5%411365.782494%44.982345%65.782494%65.8%7475383963.059751%36.804309%63.059751%63.1%68694061.418155%46.234343%61.418155%61.4%543459.585447%43.756826%59.585447%59.6%55373856.403350%54.862880%56.403350%56.4%90917056.262074%45.707366%56.262074%56.3%69535449.507148%28.188918%49.507148%49.5%33343439.747372%16.062904%39.747372%39.7%9101438.906031%34.955434%38.906031%38.9%62162297697731.687459%32.075937%31.687459%31.7%671428.089421%35.276669%28.089421%28.1%133420.228652%16.493805%20.228652%20.2%13145419.415236%35.700847%19.415236%19.4%198018.505017%34.472455%18.505017%18.5%4821314.152225%28.763441%14.152225%14.2%1211127.881396%19.793106%7.881396%7.9%14151712.615640%33.930431%2.615640%2.6%0100.000000%0.000000%0.0%14.107391%0560.000000%0.000000%0.0%15.803222%0110.000000%0.000000%0.0%45.611485%032

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Milwaukee and Thurston Woods
Thurston Woods
Milwaukee
$0k$20k$40k$60k%CountBusiness1Education2ManagementAll OccupationsSales and RelatedPersonal CareProductionTransportationHealthcare SupportAdministrative$67,847.000000$50,210.000000$67,847.000000$67.8k1.501%1.50%2324$41,727.759969$44,587.000000$41,727.759969$41.7k5.821%5.82%93$39,444.000000$55,511.000000$39,444.000000$39.4k4.270%4.27%68$32,193.318151$37,378.000000$32,193.318151$32.2k100.000%100%1,598$31,500.000000$35,784.000000$31,500.000000$31.5k7.676%7.68%122123$31,104.000000$25,091.000000$31,104.000000$31.1k10.058%10.1%160161$30,774.966963$31,389.000000$30,774.966963$30.8k11.630%11.6%185186$29,887.748276$35,989.000000$29,887.748276$29.9k6.215%6.22%99$28,681.508421$27,138.000000$28,681.508421$28.7k7.105%7.10%113114$26,125.691987$34,695.000000$26,125.691987$26.1k16.362%16.4%261262

Occupations by Neighborhood in Milwaukee

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

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Thurston Woods, selected other neighborhoods in Milwaukee, and entities that contain Thurston Woods
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 ParkMilwaukeeTown of Lake NeighborhoodTown of LakeMount Olivet NeighborhoodMount OlivetZIP Code 53209ZIP 53209Wilson Park NeighborhoodWilson ParkSilver Spring NeighborhoodSilver SpringSaint Joseph NeighborhoodSaint JosephRiver Bend NeighborhoodRiver BendThurston Woods NeighborhoodThurston WdsMiller 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%17,83717.8k6.509149%6.509149%6.5%179866.308201%6.308201%6.3%10111005.704150%5.704150%5.7%1,0135.695265%5.695265%5.7%711145.067971%5.067971%5.1%2281264.992449%4.992449%5.0%1381284.594017%4.594017%4.6%38391434.269721%4.269721%4.3%681534.107045%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 Thurston Woods, selected other neighborhoods in Milwaukee, and entities that contain Thurston Woods
$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 ManorZIP Code 53209ZIP 53209MilwaukeeHeritage Heights NeighborhoodHeritage HtsWoodland Court NeighborhoodWdlnd CourtBurnham Park NeighborhoodBurnham ParkMelody View NeighborhoodMelody ViewSilver Spring NeighborhoodSilver SpringCapitol Heights NeighborhoodCapitol HtsSouthpoint NeighborhoodSouthpointThurston Woods NeighborhoodThurston WdsForest 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$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$56,182.000000$56,182.000000$56.2k5.704%5.70%1,013$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$39,444.000000$39,444.000000$39.4k4.270%4.27%68164$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

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.

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