Occupations in Bigelow, Olympia, Washington (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Olympia and Bigelow
Bigelow
Olympia
0%5%10%CountAdministrativeSales and RelatedManagementBusiness1Material MovingScienceConstruction2Personal CareComputers & MathEducation3ProductionHealthcare4Food ServiceEntertainment5Law EnforcementRepair6Fire FightingTransportationLegalSocial ServiceFarming7FacilitiesEngineering8Health TechniciansHealthcare Support14.777525%13.710555%14.777525%14.8%3912.471582%10.190843%12.471582%12.5%3310.815200%10.596803%10.815200%10.8%28296.528094%5.599732%6.528094%6.5%175.164014%2.142797%5.164014%5.2%13145.131536%2.615719%5.131536%5.1%13144.969146%2.787311%4.969146%5.0%134.579409%6.240060%4.579409%4.6%124.514453%3.816858%4.514453%4.5%11123.897369%6.491169%3.897369%3.9%103.734979%3.310455%3.734979%3.7%9103.475154%5.641584%3.475154%3.5%93.442676%6.507910%3.442676%3.4%92.500812%2.548757%2.500812%2.5%671.851250%0.581736%1.851250%1.9%451.851250%1.724282%1.851250%1.9%451.818772%0.811919%1.818772%1.8%451.818772%1.962836%1.818772%1.8%451.786294%1.841466%1.786294%1.8%451.429035%3.176530%1.429035%1.4%341.396557%0.544070%1.396557%1.4%340.941864%2.691052%0.941864%0.9%20.714518%1.581987%0.714518%0.7%120.389737%1.527580%0.389737%0.4%10.000000%0.000000%0.0%1.355989%0

Relative Occupations#2

Percentage more or less common in Bigelow than in Olympia, among the civilian employed population aged 16 and older.
Scope: population of Olympia and Bigelow
Less Common
More Common
100%0%100%200%%ref.Law EnforcementFarming1Material MovingFire FightingScienceConstruction2Sales and RelatedComputers & MathBusiness3ProductionAdministrativeRepair4ManagementEntertainment5LegalTransportationPersonal CareHealthcare6Education7Food ServiceEngineering8Social ServiceFacilitiesHealth TechniciansHealthcare Support218.228613%218.228613%218.2%1.851%1.85%0.582%0.58%156.687236%156.687236%156.7%1.397%1.40%0.544%0.54%140.994058%140.994058%141.0%5.164%5.16%2.143%2.14%124.009000%124.009000%124.0%1.819%1.82%0.812%0.81%96.180682%96.180682%96.2%5.132%5.13%2.616%2.62%78.277433%78.277433%78.3%4.969%4.97%2.787%2.79%22.380276%22.380276%22.4%12.472%12.5%10.191%10.2%18.276682%18.276682%18.3%4.514%4.51%3.817%3.82%16.578675%16.578675%16.6%6.528%6.53%5.600%5.60%12.823749%12.823749%12.8%3.735%3.73%3.310%3.31%7.782108%7.782108%7.8%14.778%14.8%13.711%13.7%7.363537%7.363537%7.4%1.851%1.85%1.724%1.72%2.060973%2.060973%2.1%10.815%10.8%10.597%10.6%-1.881115%-1.881115%1.9%2.501%2.50%2.549%2.55%-2.996103%-2.996103%3.0%1.786%1.79%1.841%1.84%-7.339561%-7.339561%7.3%1.819%1.82%1.963%1.96%-26.612746%-26.612746%26.6%4.579%4.58%6.240%6.24%-38.401086%-38.401086%38.4%3.475%3.48%5.642%5.64%-39.958903%-39.958903%40.0%3.897%3.90%6.491%6.49%-47.100125%-47.100125%47.1%3.443%3.44%6.508%6.51%-54.834164%-54.834164%54.8%0.715%0.71%1.582%1.58%-55.012685%-55.012685%55.0%1.429%1.43%3.177%3.18%-65.000149%-65.000149%65.0%0.942%0.94%2.691%2.69%-74.486646%-74.486646%74.5%0.390%0.39%1.528%1.53%-100.000000%-100.000000%100.0%0.000%0%1.356%1.36%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Olympia and Bigelow
Female Male
Olympia
Bigelow
2x1x0x1x2xFMMaterial MovingLegalFacilitiesAll OccupationsHealthcare1Food ServiceManagementPersonal CareBusiness2Engineering3AdministrativeEducation4Entertainment5Production-1.000000x-1.000000x-1.000000x2.697674x6.314286x2.697674x2.70x34910-1.000000x-1.211055x-1.000000x2.235294x1.000000x2.235294x2.24x13-1.000000x-1.000000x-1.000000x1.230769x1.724576x1.230769x1.23x11-1.000000x-1.029732x-1.000000x1.183688x1.000000x1.183688x1.18x121122143144-1.000000x-2.303922x-1.000000x1.183673x1.000000x1.183673x1.18x445-1.000000x-1.528455x-1.000000x1.163265x1.000000x1.163265x1.16x445-1.395683x-1.000000x-1.395683x1.40x1.000000x1.400000x1.000000x16171112-1.611111x-2.645477x-1.611111x1.61x1.000000x1.000000x1.000000x745-1.680000x-1.080871x-1.680000x1.68x1.000000x1.000000x1.000000x10116-1.750000x-1.000000x-1.750000x1.75x1.000000x4.906250x1.000000x101-1.826087x-2.557003x-1.826087x1.83x1.000000x1.000000x1.000000x251314-2.428571x-2.089641x-2.428571x2.43x1.000000x1.000000x1.000000x73-2.850000x-1.247232x-2.850000x2.85x1.000000x1.000000x1.000000x4512-2.965517x-1.000000x-2.965517x2.97x1.000000x2.839806x1.000000x72

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Olympia and Bigelow
Bigelow
Olympia
0%50%100%PartFullFire FightingProductionFood ServiceEntertainment1Construction2Personal CareScienceAdministrativeMaterial MovingFacilitiesRepair3Education4All OccupationsHealthcare5Business6Sales and RelatedManagementComputers & MathEngineering7Social ServiceLegalHealth TechniciansLaw EnforcementFarming8Transportation100.000000%60.309278%100.000000%100.0%450100.000000%30.973451%100.000000%100.0%910085.849057%57.813505%85.849057%85.8%78174.025974%37.438424%74.025974%74.0%451260.784314%38.288288%60.784314%60.8%8560.283688%50.435949%60.283688%60.3%74548.734177%35.200000%48.734177%48.7%676746.813187%37.301587%46.813187%46.8%18202146.540881%29.101563%46.540881%46.5%6744.827586%59.564541%44.827586%44.8%1142.105263%9.466019%42.105263%42.1%22340.833333%42.940039%40.833333%40.8%4638.876259%33.548171%38.876259%38.9%10316237.383178%41.839763%37.383178%37.4%35635.323383%15.844544%35.323383%35.3%61127.083333%36.427105%27.083333%27.1%892410.510511%11.453397%10.510511%10.5%325260.000000%0.000000%0.0%3.618421%011120.000000%0.000000%0.0%10.317460%0120.000000%0.000000%0.0%37.154150%0340.000000%0.000000%0.0%10.227273%0450.000000%0.000000%0.0%23.835616%010.000000%0.000000%0.0%4.316547%0450.000000%0.000000%0.0%40.000000%0340.000000%0.000000%0.0%31.982942%045

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Olympia and Bigelow
Bigelow
Olympia
$0k$50k$100k%CountTransportationHealthcare1LegalScienceBusiness2Social ServiceComputers & MathManagementAll OccupationsEducation3Sales and RelatedMaterial MovingAdministrativeConstruction4$120,000.000000$53,512.000000$120,000.000000$120.0k1.819%1.82%45$97,212.000000$100,098.000000$97,212.000000$97.2k3.475%3.48%9$86,458.000000$69,375.000000$86,458.000000$86.5k1.786%1.79%45$67,589.000000$63,975.000000$67,589.000000$67.6k5.132%5.13%1314$65,104.000000$58,571.000000$65,104.000000$65.1k6.528%6.53%17$64,118.000000$44,519.000000$64,118.000000$64.1k1.429%1.43%34$59,756.000000$71,467.000000$59,756.000000$59.8k4.514%4.51%1112$59,128.000000$67,034.000000$59,128.000000$59.1k10.815%10.8%2829$53,039.000000$50,571.000000$53,039.000000$53.0k100.000%100%265$52,734.000000$52,926.000000$52,734.000000$52.7k3.897%3.90%10$48,500.000000$43,671.000000$48,500.000000$48.5k12.472%12.5%33$34,408.000000$34,792.000000$34,408.000000$34.4k5.164%5.16%1314$27,476.000000$40,471.000000$27,476.000000$27.5k14.778%14.8%39$26,596.000000$41,305.000000$26,596.000000$26.6k4.969%4.97%13

Occupations by Neighborhood in Olympia

There are 33 neighborhoods in Olympia. This section compares Bigelow to all of the neighborhoods in Olympia and to those entities that contain or substantially overlap with Bigelow.

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Bigelow, selected other neighborhoods in Olympia, and entities that contain Bigelow
0%5%10%15%Count#Carlyon-North NeighborhoodCarlyon-NorthGovernor Stevens NeighborhoodGovernor StevensWildbood NeighborhoodWildboodFain Park NeighborhoodFain ParkHoliday Hills NeighborhoodHoliday HillsCain Road NeighborhoodCain RoadZIP Code 98506ZIP 98506Indian Creek NeighborhoodIndian CreekOlympia School DistrictOlympiaNottingham NeighborhoodNottinghamCastlewood NeighborhoodCastlewoodBriarwood NeighborhoodBriarwoodThe Birches NeighborhoodThe BirchesNorth East NeighborhoodNorth EastEast Bay Drive NeighborhoodE Bay DrUpper Eastside NeighborhoodUpper EastsideSouth Westside NeighborhoodS WestsideWellington West NeighborhoodWellington WGoldcrest NeighborhoodGoldcrestBigelow Highlands NeighborhoodBigelow HighlandsWashingtonOlympia and Tumwater Metro AreaOlympia AreaThurston CountyThurstonWest Bay Drive NeighborhoodW Bay Dr010300Tract 010300Eastside NeighborhoodEastsideBigelow NeighborhoodBigelowBurbank NeighborhoodBurbankWalnut Park NeighborhoodWalnut ParkNorthwest NeighborhoodNorthwestThe Woods NeighborhoodThe WoodsOlympiaPacificWestUnited States of AmericaUnited StatesDowntown NeighborhoodDowntownSouth Captol NeighborhoodSouth CaptolWoodfield Estates NeighborhoodWoodfield EstsSpringwood NeighborhoodSpringwoodWoodard Glen NeighborhoodWoodard GlenSpringfield NeighborhoodSpringfieldMapleview NeighborhoodMapleviewNewport NeighborhoodNewport18.300654%18.300654%18.3%51118.300654%18.300654%18.3%31218.300654%18.300654%18.3%28318.300654%18.300654%18.3%910415.509677%15.509677%15.5%9514.567757%14.567757%14.6%120613.725490%13.725490%13.7%1,16213.479141%13.479141%13.5%35713.184987%13.184987%13.2%4,04712.295936%12.295936%12.3%121112.295936%12.295936%12.3%75812.295936%12.295936%12.3%69912.295936%12.295936%12.3%12131012.133942%12.133942%12.1%1931941212.131015%12.131015%12.1%10111311.290679%11.290679%11.3%49501411.203735%11.203735%11.2%2301511.203735%11.203735%11.2%41611.116883%11.116883%11.1%241711.041850%11.041850%11.0%581810.982610%10.982610%11.0%365,866366k10.909636%10.909636%10.9%13,09213.1k10.909636%10.909636%10.9%13,09213.1k10.823627%10.823627%10.8%561910.815200%10.815200%10.8%33310.815200%10.815200%10.8%1482010.815200%10.815200%10.8%28292110.640648%10.640648%10.6%562210.640648%10.640648%10.6%232510.640648%10.640648%10.6%1081092310.640648%10.640648%10.6%18192410.596803%10.596803%10.6%2,53210.351683%10.351683%10.4%2,459,5242.46M10.273445%10.273445%10.3%3,534,0223.53M10.035605%10.035605%10.0%14,852,82814.9M9.966164%9.966164%10.0%104269.863725%9.863725%9.9%51279.467456%9.467456%9.5%12287.400131%7.400131%7.4%34297.400131%7.400131%7.4%2337.400131%7.400131%7.4%3307.400131%7.400131%7.4%12317.400131%7.400131%7.4%1332

Management Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Bigelow, selected other neighborhoods in Olympia, and entities that contain Bigelow
$0k$50k%Count#Goldcrest NeighborhoodGoldcrestHoliday Hills NeighborhoodHoliday HillsPacificWashingtonWestNorth East NeighborhoodNorth EastEast Bay Drive NeighborhoodE Bay DrUnited States of AmericaUnited StatesWoodfield Estates NeighborhoodWoodfield EstsZIP Code 98506ZIP 98506South Captol NeighborhoodSouth CaptolDowntown NeighborhoodDowntownOlympia and Tumwater Metro AreaOlympia AreaThurston CountyThurstonCastlewood NeighborhoodCastlewoodBriarwood NeighborhoodBriarwoodThe Birches NeighborhoodThe BirchesNottingham NeighborhoodNottinghamIndian Creek NeighborhoodIndian CreekCain Road NeighborhoodCain RoadCarlyon-North NeighborhoodCarlyon-NorthGovernor Stevens NeighborhoodGovernor StevensWildbood NeighborhoodWildboodFain Park NeighborhoodFain ParkOlympia School DistrictOlympiaOlympiaNewport NeighborhoodNewportSpringwood NeighborhoodSpringwoodSpringfield NeighborhoodSpringfieldWoodard Glen NeighborhoodWoodard GlenMapleview NeighborhoodMapleviewUpper Eastside NeighborhoodUpper EastsideBigelow Highlands NeighborhoodBigelow HighlandsBigelow NeighborhoodBigelow010300Tract 010300Eastside NeighborhoodEastsideWest Bay Drive NeighborhoodW Bay DrSouth Westside NeighborhoodS WestsideWellington West NeighborhoodWellington WThe Woods NeighborhoodThe WoodsWalnut Park NeighborhoodWalnut ParkNorthwest NeighborhoodNorthwestBurbank NeighborhoodBurbank$80,982.000000$80,982.000000$81.0k11.117%11.1%241$80,541.000000$80,541.000000$80.5k15.510%15.5%92$80,455.000000$80,455.000000$80.5k10.352%10.4%2,459,5242.46M$80,089.000000$80,089.000000$80.1k10.983%11.0%365,866366k$75,299.000000$75,299.000000$75.3k10.273%10.3%3,534,0223.53M$73,754.494801$73,754.494801$73.8k12.134%12.1%1931943$73,750.000000$73,750.000000$73.8k12.131%12.1%10114$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,667.000000$71,667.000000$71.7k9.467%9.47%125$71,563.000000$71,563.000000$71.6k13.725%13.7%1,162$71,500.000000$71,500.000000$71.5k9.864%9.86%516$70,795.454344$70,795.454344$70.8k9.966%9.97%1047$69,897.000000$69,897.000000$69.9k10.910%10.9%13,09213.1k$69,897.000000$69,897.000000$69.9k10.910%10.9%13,09213.1k$69,821.000000$69,821.000000$69.8k12.296%12.3%758$69,821.000000$69,821.000000$69.8k12.296%12.3%699$69,821.000000$69,821.000000$69.8k12.296%12.3%121310$69,821.000000$69,821.000000$69.8k12.296%12.3%1211$69,686.784500$69,686.784500$69.7k13.479%13.5%3512$69,585.143911$69,585.143911$69.6k14.568%14.6%12013$69,338.000000$69,338.000000$69.3k18.301%18.3%5114$69,338.000000$69,338.000000$69.3k18.301%18.3%3115$69,338.000000$69,338.000000$69.3k18.301%18.3%2816$69,338.000000$69,338.000000$69.3k18.301%18.3%91017$69,294.000000$69,294.000000$69.3k13.185%13.2%4,047$67,034.000000$67,034.000000$67.0k10.597%10.6%2,532$66,316.000000$66,316.000000$66.3k7.400%7.40%1318$66,316.000000$66,316.000000$66.3k7.400%7.40%3419$66,316.000000$66,316.000000$66.3k7.400%7.40%320$66,316.000000$66,316.000000$66.3k7.400%7.40%221$66,316.000000$66,316.000000$66.3k7.400%7.40%1222$65,171.393785$65,171.393785$65.2k11.291%11.3%495023$62,136.842505$62,136.842505$62.1k11.042%11.0%5824$59,128.000000$59,128.000000$59.1k10.815%10.8%282925$59,128.000000$59,128.000000$59.1k10.815%10.8%333$59,128.000000$59,128.000000$59.1k10.815%10.8%14826$53,204.096823$53,204.096823$53.2k10.824%10.8%5627$42,368.000000$42,368.000000$42.4k11.204%11.2%23028$42,368.000000$42,368.000000$42.4k11.204%11.2%429$28,750.000000$28,750.000000$28.8k10.641%10.6%181930$28,750.000000$28,750.000000$28.8k10.641%10.6%2331$28,750.000000$28,750.000000$28.7k10.641%10.6%10810932$28,750.000000$28,750.000000$28.7k10.641%10.6%5633

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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