Occupations in Bluemound Manor, Wauwatosa, Wisconsin (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Wauwatosa and Bluemound Manor
Bluemound Manor
Wauwatosa
0%5%10%CountAdministrativeManagementHealthcare1Sales and RelatedProductionEducation2Business3ScienceHealth TechniciansConstruction4FacilitiesTransportationFood ServiceMaterial MovingEntertainment5Social ServiceRepair6Computers & MathFire FightingPersonal CareEngineering7LegalLaw EnforcementFarming8Healthcare Support14.054927%11.463367%14.054927%14.1%7413.529887%11.923449%13.529887%13.5%717211.752827%9.812488%11.752827%11.8%629.854604%9.128165%9.854604%9.9%528.683360%4.179393%8.683360%8.7%45466.462036%8.381983%6.462036%6.5%344.725363%8.208003%4.725363%4.7%24253.392569%2.667698%3.392569%3.4%17183.311793%2.532380%3.311793%3.3%17182.907916%1.832592%2.907916%2.9%152.705977%1.287454%2.705977%2.7%142.544426%1.585154%2.544426%2.5%132.463651%3.866228%2.463651%2.5%132.382876%1.612217%2.382876%2.4%12132.261712%2.814614%2.261712%2.3%11122.019386%2.385463%2.019386%2.0%10111.857835%1.380244%1.857835%1.9%9101.494346%3.788904%1.494346%1.5%781.252019%0.579934%1.252019%1.3%670.646204%2.659965%0.646204%0.6%30.565428%3.123913%0.565428%0.6%230.565428%2.277209%0.565428%0.6%230.484653%0.402088%0.484653%0.5%230.080775%0.204910%0.080775%0.1%00.000000%0.000000%0.0%1.902184%0

Relative Occupations#2

Percentage more or less common in Bluemound Manor than in Wauwatosa, among the civilian employed population aged 16 and older.
Scope: population of Wauwatosa and Bluemound Manor
Less Common
More Common
100%0%100%%ref.Fire FightingFacilitiesProductionTransportationConstruction1Material MovingRepair2Health TechniciansScienceAdministrativeLaw EnforcementHealthcare3ManagementSales and RelatedSocial ServiceEntertainment4Education5Food ServiceBusiness6Computers & MathFarming7LegalPersonal CareEngineering8Healthcare Support115.889876%115.889876%115.9%1.252%1.25%0.580%0.58%110.180496%110.180496%110.2%2.706%2.71%1.287%1.29%107.766062%107.766062%107.8%8.683%8.68%4.179%4.18%60.516076%60.516076%60.5%2.544%2.54%1.585%1.59%58.677737%58.677737%58.7%2.908%2.91%1.833%1.83%47.801145%47.801145%47.8%2.383%2.38%1.612%1.61%34.601983%34.601983%34.6%1.858%1.86%1.380%1.38%30.777911%30.777911%30.8%3.312%3.31%2.532%2.53%27.172157%27.172157%27.2%3.393%3.39%2.668%2.67%22.607317%22.607317%22.6%14.055%14.1%11.463%11.5%20.534050%20.534050%20.5%0.485%0.48%0.402%0.40%19.774182%19.774182%19.8%11.753%11.8%9.812%9.81%13.472933%13.472933%13.5%13.530%13.5%11.923%11.9%7.958212%7.958212%8.0%9.855%9.85%9.128%9.13%-15.346156%-15.346156%15.3%2.019%2.02%2.385%2.39%-19.643967%-19.643967%19.6%2.262%2.26%2.815%2.81%-22.905651%-22.905651%22.9%6.462%6.46%8.382%8.38%-36.277666%-36.277666%36.3%2.464%2.46%3.866%3.87%-42.429804%-42.429804%42.4%4.725%4.73%8.208%8.21%-60.559947%-60.559947%60.6%1.494%1.49%3.789%3.79%-60.580059%-60.580059%60.6%0.081%0.08%0.205%0.20%-75.170122%-75.170122%75.2%0.565%0.57%2.277%2.28%-75.706316%-75.706316%75.7%0.646%0.65%2.660%2.66%-81.900002%-81.900002%81.9%0.565%0.57%3.124%3.12%-100.000000%-100.000000%100.0%0.000%0%1.902%1.90%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Wauwatosa and Bluemound Manor
Female Male
Wauwatosa
Bluemound Manor
3x2x1x0x1x2x3xFMSales and RelatedManagementAll OccupationsBusiness1Entertainment2AdministrativeHealth TechniciansSocial ServiceEducation3-1.000000x-1.000000x-1.000000x2.436620x1.474843x2.436620x2.44x153637-1.000000x-1.000000x-1.000000x1.863248x1.473136x1.863248x1.86x24254647-1.000000x-1.000000x-1.000000x1.387657x1.002710x1.387657x1.39x221307-1.000000x-1.265742x-1.000000x1.052632x1.000000x1.052632x1.05x121213-1.074074x-1.000000x-1.074074x1.07x1.000000x1.467797x1.000000x656-1.540146x-2.447674x-1.540146x1.54x1.000000x1.000000x1.000000x4529-1.733333x-1.860262x-1.733333x1.73x1.000000x1.000000x1.000000x116-2.571429x-2.408840x-2.571429x2.57x1.000000x1.000000x1.000000x7823-3.000000x-2.554098x-3.000000x3.00x1.000000x1.000000x1.000000x252689

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Wauwatosa and Bluemound Manor
Bluemound Manor
Wauwatosa
0%50%100%PartFullEngineering1LegalFire FightingFarming2Material MovingFood ServiceFacilitiesTransportationHealth TechniciansEducation3Healthcare4ProductionAdministrativeAll OccupationsConstruction5Entertainment6ManagementSales and RelatedBusiness7Computers & MathScienceSocial ServiceLaw EnforcementPersonal CareRepair8100.000000%9.034653%100.000000%100.0%230100.000000%24.957555%100.000000%100.0%230100.000000%48.666667%100.000000%100.0%670100.000000%81.132075%100.000000%100.0%0072.881356%44.604317%72.881356%72.9%9370.491803%64.800000%70.491803%70.5%93470.149254%47.447447%70.149254%70.1%10468.253968%34.390244%68.253968%68.3%9453.658537%32.366412%53.658537%53.7%9843.750000%38.560886%43.750000%43.8%14151940.893471%30.417652%40.893471%40.9%25363733.953488%25.346901%33.953488%34.0%15163033.045977%32.175379%33.045977%33.0%2425495029.483037%27.218249%29.483037%29.5%15515637237323.611111%35.654008%23.611111%23.6%34111217.857143%23.901099%17.857143%17.9%29108.358209%9.954604%8.358209%8.4%5665666.967213%27.361288%6.967213%7.0%34480.000000%0.000000%0.0%15.214319%024250.000000%0.000000%0.0%14.693878%0780.000000%0.000000%0.0%12.173913%017180.000000%0.000000%0.0%19.611021%010110.000000%0.000000%0.000000%0.0%0230.000000%0.000000%0.0%36.627907%030.000000%0.000000%0.0%8.403361%0910

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Wauwatosa and Bluemound Manor
Bluemound Manor
Wauwatosa
$0k$20k$40k$60k$80k%CountConstruction1Computers & MathManagementHealthcare2ScienceSales and RelatedBusiness3All OccupationsEducation4Repair5AdministrativeEntertainment6ProductionSocial ServiceHealth Technicians$82,750.000000$46,979.000000$82,750.000000$82.8k2.908%2.91%15$68,304.000000$80,428.000000$68,304.000000$68.3k1.494%1.49%78$61,134.000000$76,973.000000$61,134.000000$61.1k13.530%13.5%7172$60,921.000000$71,467.000000$60,921.000000$60.9k11.753%11.8%62$60,625.000000$50,272.000000$60,625.000000$60.6k3.393%3.39%1718$57,113.000000$57,478.000000$57,113.000000$57.1k9.855%9.85%52$56,181.000000$64,194.000000$56,181.000000$56.2k4.725%4.73%2425$54,500.000000$56,671.000000$54,500.000000$54.5k100.000%100%528529$44,500.000000$50,142.000000$44,500.000000$44.5k6.462%6.46%34$43,750.000000$45,388.000000$43,750.000000$43.8k1.858%1.86%910$42,270.000000$42,102.000000$42,270.000000$42.3k14.055%14.1%74$41,250.000000$52,500.000000$41,250.000000$41.3k2.262%2.26%1112$39,167.000000$42,204.000000$39,167.000000$39.2k8.683%8.68%4546$35,764.000000$45,938.000000$35,764.000000$35.8k2.019%2.02%1011$32,000.000000$50,568.000000$32,000.000000$32.0k3.312%3.31%1718

Occupations by Neighborhood in Wauwatosa

There are 37 neighborhoods in Wauwatosa. This section compares Bluemound Manor to all of the neighborhoods in Wauwatosa and to those entities that contain or substantially overlap with Bluemound Manor.

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Bluemound Manor, selected other neighborhoods in Wauwatosa, and entities that contain Bluemound Manor
0%5%10%15%Count#Swan Park NeighborhoodSwan ParkParkway Estates NeighborhoodPkwy EstsOlde Hillcrest NeighborhoodOlde HillcrestWashington Highlands NeighborhoodWashington Highla…Historic Heights NeighborhoodHist HtsLudington Commons NeighborhoodLudington ComnsLowell Damon Woods NeighborhoodLowell Damon WdsPark Ridge NeighborhoodPark RidgeSheraton Lawns NeighborhoodSheraton LawnsCurrie Park Estates NeighborhoodCurrie Pk EstsCooper Park NeighborhoodCooper Park090600Tract 090600Bluemound Manor NeighborhoodBluemound MnrWellauer Heights NeighborhoodWellauer HtsWellauer Heights NeighborhoodWellauer HtsRavenswood NeighborhoodRavenswoodJennings Park NeighborhoodJennings ParkPasadena NeighborhoodPasadenaZIP Code 53226ZIP 53226Tosa East Town NeighborhoodTosa E TownWauwatosaWauwatosa School DistrictWauwatosaCharles Jacobus Park NeighborhoodCharles Jacobus PkEnderis Park NeighborhoodEnderis ParkMayfair Park NeighborhoodMayfair ParkInglewood NeighborhoodInglewoodTosa Heights NeighborhoodTosa HeightsLovers Lanes Estates NeighborhoodLovers Lanes EstsMount Mary NeighborhoodMount MaryPabst Park NeighborhoodPabst ParkFisher Woods NeighborhoodFisher WoodsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMidwestWisconsinEast North CentralGolden Valley NeighborhoodGolden ValleyGlenview Heights NeighborhoodGlenview HtsStory Hill NeighborhoodStory HillMilwaukee CountyMilwaukeeGreenfield Gardens NeighborhoodGreenfield GdnsBluemound Heights NeighborhoodBluemound HtsCannon Park NeighborhoodCannon ParkQuarry Heights NeighborhoodQuarry HtsTosa Village NeighborhoodTosa VillageGrantosa NeighborhoodGrantosaTimmerman Airport NeighborhoodTimmerman Airport18.977273%18.977273%19.0%123118.977273%18.977273%19.0%8586216.005122%16.005122%16.0%96316.005122%16.005122%16.0%9495415.523840%15.523840%15.5%4748514.444182%14.444182%14.4%92614.181584%14.181584%14.2%9394713.789581%13.789581%13.8%6364813.789581%13.789581%13.8%26913.789581%13.789581%13.8%25261013.763921%13.763921%13.8%2642651113.529887%13.529887%13.5%33513.529887%13.529887%13.5%71721212.385321%12.385321%12.4%231412.385321%12.385321%12.4%561512.385321%12.385321%12.4%51521312.385321%12.385321%12.4%361612.358551%12.358551%12.4%2342351712.246894%12.246894%12.2%1,25211.981680%11.981680%12.0%3563571811.923449%11.923449%11.9%3,08411.923449%11.923449%11.9%3,08411.801769%11.801769%11.8%1791801911.539664%11.539664%11.5%2192011.178414%11.178414%11.2%1302110.614408%10.614408%10.6%652210.574814%10.574814%10.6%56572310.574814%10.574814%10.6%342410.477043%10.477043%10.5%1212510.219922%10.219922%10.2%82832610.193906%10.193906%10.2%1252710.097274%10.097274%10.1%78,78678.8k10.035605%10.035605%10.0%14,852,82814.9M9.823005%9.823005%9.8%3,193,2973.19M9.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M8.714065%8.714065%8.7%148288.620367%8.620367%8.6%7778298.523916%8.523916%8.5%8485308.243033%8.243033%8.2%37,13037.1k7.583548%7.583548%7.6%121122317.494701%7.494701%7.5%136137327.150368%7.150368%7.2%99100336.177746%6.177746%6.2%5859346.177746%6.177746%6.2%4243355.162524%5.162524%5.2%3637364.560086%4.560086%4.6%937

Management Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Bluemound Manor, selected other neighborhoods in Wauwatosa, and entities that contain Bluemound Manor
$0k$50k$100k%Count#Swan Park NeighborhoodSwan ParkParkway Estates NeighborhoodPkwy EstsHistoric Heights NeighborhoodHist HtsOlde Hillcrest NeighborhoodOlde HillcrestWashington Highlands NeighborhoodWashington Highla…Fisher Woods NeighborhoodFisher WoodsWellauer Heights NeighborhoodWellauer HtsRavenswood NeighborhoodRavenswoodJennings Park NeighborhoodJennings ParkWellauer Heights NeighborhoodWellauer HtsPark Ridge NeighborhoodPark RidgeSheraton Lawns NeighborhoodSheraton LawnsCurrie Park Estates NeighborhoodCurrie Pk EstsLudington Commons NeighborhoodLudington ComnsGlenview Heights NeighborhoodGlenview HtsLowell Damon Woods NeighborhoodLowell Damon WdsPasadena NeighborhoodPasadenaQuarry Heights NeighborhoodQuarry HtsTosa Village NeighborhoodTosa VillageCharles Jacobus Park NeighborhoodCharles Jacobus PkWauwatosaWauwatosa School DistrictWauwatosaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeZIP Code 53226ZIP 53226Tosa East Town NeighborhoodTosa E TownUnited States of AmericaUnited StatesEast North CentralMidwestMount Mary NeighborhoodMount MaryWisconsinMilwaukee CountyMilwaukeeCannon Park NeighborhoodCannon Park090600Tract 090600Bluemound Manor NeighborhoodBluemound MnrInglewood NeighborhoodInglewoodCooper Park NeighborhoodCooper ParkGreenfield Gardens NeighborhoodGreenfield GdnsMayfair Park NeighborhoodMayfair ParkStory Hill NeighborhoodStory HillEnderis Park NeighborhoodEnderis ParkTosa Heights NeighborhoodTosa HeightsLovers Lanes Estates NeighborhoodLovers Lanes EstsPabst Park NeighborhoodPabst ParkGolden Valley NeighborhoodGolden ValleyBluemound Heights NeighborhoodBluemound HtsTimmerman Airport NeighborhoodTimmerman AirportGrantosa NeighborhoodGrantosa$109,674.000000$109,674.000000$109.7k18.977%19.0%1231$109,674.000000$109,674.000000$109.7k18.977%19.0%85862$101,967.932072$101,967.932072$102.0k15.524%15.5%47483$101,058.000000$101,058.000000$101.1k16.005%16.0%964$101,058.000000$101,058.000000$101.1k16.005%16.0%94955$100,982.000000$100,982.000000$101.0k10.194%10.2%1256$100,694.000000$100,694.000000$100.7k12.385%12.4%567$100,694.000000$100,694.000000$100.7k12.385%12.4%51528$100,694.000000$100,694.000000$100.7k12.385%12.4%369$100,694.000000$100,694.000000$100.7k12.385%12.4%2310$98,646.000000$98,646.000000$98.6k13.790%13.8%636411$98,646.000000$98,646.000000$98.6k13.790%13.8%2612$98,646.000000$98,646.000000$98.6k13.790%13.8%252613$97,851.243325$97,851.243325$97.9k14.444%14.4%9214$93,947.276683$93,947.276683$93.9k8.620%8.62%777815$91,479.080277$91,479.080277$91.5k14.182%14.2%939416$91,266.865750$91,266.865750$91.3k12.359%12.4%23423517$87,772.000000$87,772.000000$87.8k6.178%6.18%585918$87,772.000000$87,772.000000$87.8k6.178%6.18%424319$84,018.050163$84,018.050163$84.0k11.802%11.8%17918020$76,973.000000$76,973.000000$77.0k11.923%11.9%3,084$76,973.000000$76,973.000000$77.0k11.923%11.9%3,084$75,291.000000$75,291.000000$75.3k10.097%10.1%78,78678.8k$75,278.000000$75,278.000000$75.3k12.247%12.2%1,252$73,113.966092$73,113.966092$73.1k11.982%12.0%35635721$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$67,112.439881$67,112.439881$67.1k10.477%10.5%12122$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$62,056.000000$62,056.000000$62.1k7.150%7.15%9910023$61,134.000000$61,134.000000$61.1k13.530%13.5%335$61,134.000000$61,134.000000$61.1k13.530%13.5%717224$58,943.332054$58,943.332054$58.9k10.614%10.6%6525$58,547.568828$58,547.568828$58.5k13.764%13.8%26426526$57,778.000000$57,778.000000$57.8k7.584%7.58%12112227$57,031.000000$57,031.000000$57.0k11.178%11.2%13028$56,986.257195$56,986.257195$57.0k8.524%8.52%848529$56,142.214076$56,142.214076$56.1k11.540%11.5%21930$56,058.000000$56,058.000000$56.1k10.575%10.6%565731$56,058.000000$56,058.000000$56.1k10.575%10.6%3432$55,893.000000$55,893.000000$55.9k10.220%10.2%828333$55,643.539009$55,643.539009$55.6k8.714%8.71%14834$48,674.285745$48,674.285745$48.7k7.495%7.49%13613735$44,881.000000$44,881.000000$44.9k4.560%4.56%936$39,205.000000$39,205.000000$39.2k5.163%5.16%363737

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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