Occupations in Maple Leaf, Seattle, Washington (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Seattle and Maple Leaf
Maple Leaf
Seattle
0%5%10%CountManagementAdministrativeEducation1Sales and RelatedBusiness2Computers & MathHealthcare3Food ServiceEntertainment4Personal CareScienceEngineering5ProductionConstruction6TransportationLegalRepair7Healthcare SupportSocial ServiceHealth TechniciansFacilitiesMaterial MovingFire FightingLaw EnforcementFarming813.930235%14.482924%13.930235%13.9%8978989.195663%9.208107%9.195663%9.2%5925939.041341%6.612550%9.041341%9.0%5825839.037416%8.775430%9.037416%9.0%5827.845536%7.589677%7.845536%7.8%5055067.536230%8.281809%7.536230%7.5%4854866.511506%5.039639%6.511506%6.5%4194205.987346%6.617861%5.987346%6.0%3853864.365465%4.937981%4.365465%4.4%2814.115849%3.737561%4.115849%4.1%2653.228967%2.343689%3.228967%3.2%2083.219528%3.489992%3.219528%3.2%2072082.176404%2.553832%2.176404%2.2%1401.994978%1.840964%1.994978%2.0%1281291.790236%1.877379%1.790236%1.8%1151.650014%2.601879%1.650014%1.7%1061.557477%1.167545%1.557477%1.6%1001.485950%1.525370%1.485950%1.5%95961.392846%1.845516%1.392846%1.4%89901.268821%0.930344%1.268821%1.3%81821.044685%2.344700%1.044685%1.0%670.916706%1.144028%0.916706%0.9%590.443884%0.611463%0.443884%0.4%28290.136538%0.218741%0.136538%0.1%890.126379%0.221017%0.126379%0.1%8
Count number of people employed in given occupation
1Education, training, and library 2Business and finance 3Health diagnosing and treating practitioners 4Arts, design, entertainment, sports, and media 5Engineering and architecture 6Construction and extraction 7Installation, maintenance, and repair 8Farming, fishing, and forestry

Relative Occupations#2

Percentage more or less common in Maple Leaf than in Seattle, among the civilian employed population aged 16 and older.
Scope: population of Seattle and Maple Leaf
Less Common
More Common
40%20%0%20%%ref.ScienceEducation1Health TechniciansRepair2Healthcare3Personal CareConstruction4Business5Sales and RelatedAdministrativeHealthcare SupportManagementTransportationEngineering6Computers & MathFood ServiceEntertainment7ProductionMaterial MovingSocial ServiceFire FightingLegalLaw EnforcementFarming8Facilities37.772859%37.772859%37.8%3.229%3.23%2.344%2.34%36.730016%36.730016%36.7%9.041%9.04%6.613%6.61%36.381917%36.381917%36.4%1.269%1.27%0.930%0.93%33.397552%33.397552%33.4%1.557%1.56%1.168%1.17%29.205799%29.205799%29.2%6.512%6.51%5.040%5.04%10.121249%10.121249%10.1%4.116%4.12%3.738%3.74%8.365952%8.365952%8.4%1.995%1.99%1.841%1.84%3.371138%3.371138%3.4%7.846%7.85%7.590%7.59%2.985447%2.985447%3.0%9.037%9.04%8.775%8.78%-0.135141%-0.135141%0.1%9.196%9.20%9.208%9.21%-2.584292%-2.584292%2.6%1.486%1.49%1.525%1.53%-3.816146%-3.816146%3.8%13.930%13.9%14.483%14.5%-4.641704%-4.641704%4.6%1.790%1.79%1.877%1.88%-7.749715%-7.749715%7.7%3.220%3.22%3.490%3.49%-9.002612%-9.002612%9.0%7.536%7.54%8.282%8.28%-9.527475%-9.527475%9.5%5.987%5.99%6.618%6.62%-11.594142%-11.594142%11.6%4.365%4.37%4.938%4.94%-14.778876%-14.778876%14.8%2.176%2.18%2.554%2.55%-19.870277%-19.870277%19.9%0.917%0.92%1.144%1.14%-24.528087%-24.528087%24.5%1.393%1.39%1.846%1.85%-27.406250%-27.406250%27.4%0.444%0.44%0.611%0.61%-36.583757%-36.583757%36.6%1.650%1.65%2.602%2.60%-37.580090%-37.580090%37.6%0.137%0.14%0.219%0.22%-42.819408%-42.819408%42.8%0.126%0.13%0.221%0.22%-55.444857%-55.444857%55.4%1.045%1.04%2.345%2.34%
% percentage of occupation in Maple Leaf
ref. percentage of occupation in Seattle
1Education, training, and library 2Installation, maintenance, and repair 3Health diagnosing and treating practitioners 4Construction and extraction 5Business and finance 6Engineering and architecture 7Arts, design, entertainment, sports, and media 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 Seattle and Maple Leaf
Female Male
Seattle
Maple Leaf
2x1x0x1x2xFMProductionEngineering1FacilitiesManagementSales and RelatedAll OccupationsLegalFire FightingEntertainment2ScienceEducation3Food ServiceBusiness4Healthcare5Administrative-1.000000x-1.000000x-1.000000x2.905361x2.121793x2.905361x2.91x3536104-1.000000x-1.000000x-1.000000x2.214577x3.348141x2.214577x2.21x6465142143-1.000000x-1.000000x-1.000000x1.791735x1.373784x1.791735x1.79x2443-1.000000x-1.000000x-1.000000x1.512001x1.202007x1.512001x1.51x357540-1.000000x-1.000000x-1.000000x1.416292x1.184989x1.416292x1.42x241341-1.000000x-1.000000x-1.000000x1.088921x1.110684x1.088921x1.09x3,0853,3593,360-1.081935x-1.000000x-1.081935x1.08x1.000000x1.021812x1.000000x5551-1.153166x-1.000000x-1.153166x1.15x1.000000x3.428571x1.000000x1513-1.185099x-1.000000x-1.185099x1.19x1.000000x1.014754x1.000000x152153128129-1.230559x-1.037371x-1.230559x1.23x1.000000x1.000000x1.000000x11411593-1.238174x-1.815353x-1.238174x1.24x1.000000x1.000000x1.000000x322260-1.283167x-1.000000x-1.283167x1.28x1.000000x1.218361x1.000000x216217169-1.392876x-1.124513x-1.392876x1.39x1.000000x1.000000x1.000000x294211-1.425435x-2.508627x-1.425435x1.43x1.000000x1.000000x1.000000x246247173-2.267042x-1.649567x-2.267042x2.27x1.000000x1.000000x1.000000x411181
F number of females employed in given occupation
M number of males employed in given occupation
1Engineering and architecture 2Arts, design, entertainment, sports, and media 3Education, training, and library 4Business and finance 5Health 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 Seattle and Maple Leaf
Maple Leaf
Seattle
0%20%40%60%PartFullPersonal CareFacilitiesFood ServiceHealthcare SupportFire FightingMaterial MovingHealthcare1Entertainment2Health TechniciansSocial ServiceConstruction3Engineering4Education5All OccupationsSales and RelatedScienceProductionAdministrativeTransportationLegalBusiness6ManagementRepair7Computers & MathLaw EnforcementFarming860.359623%56.251691%60.359623%60.4%16010559.085271%45.470233%59.085271%59.1%3940272855.465563%57.837218%55.465563%55.5%21417117254.805156%46.750663%54.805156%54.8%524353.037322%40.488007%53.037322%53.0%151349.959027%43.832891%49.959027%50.0%2930293043.563815%33.263084%43.563815%43.6%18218323623742.206280%35.422748%42.206280%42.2%11811916216340.066771%30.334330%40.066771%40.1%32334937.530254%33.296794%37.530254%37.5%33345635.221505%37.609890%35.221505%35.2%458333.239330%18.172596%33.239330%33.2%686913813931.398151%47.757084%31.398151%31.4%18218339940030.773673%31.352274%30.773673%30.8%1,9834,4614,46228.683249%32.640770%28.683249%28.7%16741526.553434%26.132931%26.553434%26.6%5515215325.247975%26.408555%25.247975%25.2%3510410524.432418%33.224398%24.432418%24.4%14414544744822.940512%36.476293%22.940512%22.9%26888922.631426%19.496550%22.631426%22.6%248222.403710%21.940492%22.403710%22.4%11339218.104698%14.146529%18.104698%18.1%16216373516.294477%21.962313%16.294477%16.3%168412.712651%19.410687%12.712651%12.7%61624234240.000000%0.000000%0.0%10.173410%0890.000000%0.000000%0.0%38.100686%08
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Health diagnosing and treating practitioners 2Arts, design, entertainment, sports, and media 3Construction and extraction 4Engineering and architecture 5Education, training, and library 6Business and finance 7Installation, maintenance, and repair 8Farming, fishing, and forestry

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Seattle and Maple Leaf
Maple Leaf
Seattle
$0k$50k$100k%CountComputers & MathHealthcare SupportLegalHealth TechniciansManagementEngineering1Business2Healthcare3All OccupationsEntertainment4Sales and RelatedEducation5ScienceTransportationSocial ServiceAdministrativeProductionConstruction6Repair7Food ServicePersonal CareFacilities$109,194.765881$101,844.000000$109,194.765881$109.2k7.536%7.54%485486$108,164.073419$36,244.000000$108,164.073419$108.2k1.486%1.49%9596$88,863.964766$104,959.000000$88,863.964766$88.9k1.650%1.65%106$87,917.000000$49,119.000000$87,917.000000$87.9k1.269%1.27%8182$85,453.651715$89,724.000000$85,453.651715$85.5k13.930%13.9%897898$81,842.399953$86,861.000000$81,842.399953$81.8k3.220%3.22%207208$79,065.064815$71,193.000000$79,065.064815$79.1k7.846%7.85%505506$77,217.236030$81,864.000000$77,217.236030$77.2k6.512%6.51%419420$62,071.418149$62,112.000000$62,071.418149$62.1k100.000%100%6,445$61,745.489507$60,018.000000$61,745.489507$61.7k4.365%4.37%281$60,709.479335$57,002.000000$60,709.479335$60.7k9.037%9.04%582$54,664.576409$51,947.000000$54,664.576409$54.7k9.041%9.04%582583$52,874.893270$63,574.000000$52,874.893270$52.9k3.229%3.23%208$43,539.122965$43,831.000000$43,539.122965$43.5k1.790%1.79%115$41,538.882028$48,848.000000$41,538.882028$41.5k1.393%1.39%8990$40,156.384850$41,995.000000$40,156.384850$40.2k9.196%9.20%592593$34,454.077591$40,110.000000$34,454.077591$34.5k2.176%2.18%140$28,864.000000$47,731.000000$28,864.000000$28.9k1.995%1.99%128129$28,776.596564$52,528.000000$28,776.596564$28.8k1.557%1.56%100$24,021.162467$27,855.000000$24,021.162467$24.0k5.987%5.99%385386$23,758.284750$30,525.000000$23,758.284750$23.8k4.116%4.12%265$22,156.835055$28,861.000000$22,156.835055$22.2k1.045%1.04%67
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Engineering and architecture 2Business and finance 3Health diagnosing and treating practitioners 4Arts, design, entertainment, sports, and media 5Education, training, and library 6Construction and extraction 7Installation, maintenance, and repair 8Farming, fishing, and forestry

Map of Occupations by Tract in Maple Leaf

Management Occupations by Tract#6

Percentage of the population aged 16 and older employed with occupation: management (%):
8.8%10.3%11.7%13.1%14.6%16.0%

Business Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
6.0%7.0%8.0%8.9%9.9%10.9%

Computers & Math Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
6.0%8.1%10.2%12.4%14.5%16.6%

Engineering Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
1.4%2.5%3.6%4.6%5.6%6.7%

Science Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: science (%):
0.3%1.7%3.1%4.4%5.8%7.2%

Social Service Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: social service (%):
0.33%0.67%0.99%1.32%1.65%1.98%

Legal Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.4%1.2%1.8%2.5%3.2%3.9%

Education Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
5.2%6.8%8.4%10.0%11.6%13.2%

Entertainment Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
3.78%4.09%4.39%4.69%4.99%5.30%

Healthcare Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
3.4%4.6%5.8%7.0%8.2%9.5%

Health Technicians Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
0.47%0.81%1.15%1.48%1.82%2.16%

Healthcare Support Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
0.47%0.92%1.37%1.81%2.26%2.71%

Fire Fighting Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
0.00%0.24%0.47%0.71%0.95%1.19%

Law Enforcement Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.00%0.08%0.16%0.24%0.32%0.41%

Food Service Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: food service (%):
2.1%3.3%4.5%5.7%6.9%8.1%

Facilities Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: facilities (%):
0.25%0.68%1.10%1.52%1.94%2.36%

Personal Care Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: personal care (%):
1.9%2.9%3.9%4.9%6.0%7.0%

Sales and Related Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
5.2%7.2%9.1%11.0%12.9%14.8%

Administrative Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: administrative (%):
6.9%8.1%9.3%10.5%11.6%12.8%

Farming Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
0.00%0.22%0.43%0.65%0.86%1.08%

Construction Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
0.3%0.9%1.5%2.1%2.6%3.3%

Repair Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
0.69%1.01%1.33%1.65%1.96%2.28%

Production Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: production (%):
1.09%1.53%1.96%2.39%2.82%3.25%

Transportation Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: transportation (%):
0.0%0.6%1.1%1.7%2.3%2.9%

Material Moving Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: material moving (%):
0.20%0.50%0.80%1.09%1.39%1.69%
Road Data ©OpenStreetMap

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Occupations by Neighborhood in Seattle

There are 103 neighborhoods in Seattle. This section compares Maple Leaf to all of the neighborhoods in Seattle and to those entities that contain or substantially overlap with Maple Leaf.

Management Occupations by Neighborhood#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of Maple Leaf, selected other neighborhoods in Seattle, and entities that contain Maple Leaf
0%5%10%15%20%25%Count#Broadmoor NeighborhoodBroadmoorMadison Park NeighborhoodMadison ParkOlympic Manor NeighborhoodOlympic ManorWaterfront NeighborhoodWaterfrontLower Queen Anne NeighborhoodLower Queen AnneMt. Baker NeighborhoodMt. BakerNorth Beach NeighborhoodNorth BeachEast Queen Anne NeighborhoodE Queen AnneLaurelhurst NeighborhoodLaurelhurstUptown NeighborhoodUptownFauntleroy NeighborhoodFauntleroyWindermere NeighborhoodWindermereMagnolia NeighborhoodMagnoliaBryant NeighborhoodBryantHawthorne Hills NeighborhoodHawthorne HlsDowntown NeighborhoodDowntownPortage Bay NeighborhoodPortage BayWest Queen Anne NeighborhoodW Queen AnneWestlake NeighborhoodWestlakeArbor Heights NeighborhoodArbor HeightsEastlake NeighborhoodEastlakeMontlake NeighborhoodMontlakeView Ridge NeighborhoodView RidgeAlki NeighborhoodAlkiLeschi NeighborhoodLeschiNorth Queen Anne NeighborhoodN Queen AnneBelltown NeighborhoodBelltownDenny - Blaine NeighborhoodDenny - BlaineJudkins Park NeighborhoodJudkins ParkPhinney Ridge NeighborhoodPhinney RidgeSouth Lake Union NeighborhoodS Lk UnionWallingford NeighborhoodWallingfordInterbay NeighborhoodInterbayGenesee NeighborhoodGeneseeCapitol Hill NeighborhoodCapitol HillSeattleSeattle School DistrictSeattleCentral NeighborhoodCentralMaple Leaf NeighborhoodMaple LeafKing CountyKingCedar Park NeighborhoodCedar ParkHigh Point NeighborhoodHigh PointSeattle, Tacoma, and Bellevue Metro AreaSeattle AreaIndustrial District NeighborhoodInd DistWashingtonPacificWestUnited States of AmericaUnited StatesInternational District NeighborhoodIntl DistRainier Beach NeighborhoodRainier BeachUniversity District NeighborhoodUniv DistSouth Beacon Hill NeighborhoodS Beacon HlGeorgetown NeighborhoodGeorgetownHighland Park NeighborhoodHighland ParkSouth Park NeighborhoodSouth ParkHolly Park NeighborhoodHolly Park25.703663%25.703663%25.7%96125.401607%25.401607%25.4%568569222.982885%22.982885%23.0%291292322.605958%22.605958%22.6%3738420.742537%20.742537%20.7%862520.725534%20.725534%20.7%489490619.784946%19.784946%19.8%270719.621737%19.621737%19.6%982819.047619%19.047619%19.0%457919.035190%19.035190%19.0%6331018.998066%18.998066%19.0%5451118.981826%18.981826%19.0%2501218.779497%18.779497%18.8%1,9741,9751318.758832%18.758832%18.8%5465471418.637232%18.637232%18.6%1771518.623340%18.623340%18.6%7347351618.588909%18.588909%18.6%2011718.446297%18.446297%18.4%6866871818.424554%18.424554%18.4%4341918.343967%18.343967%18.3%5865872018.149899%18.149899%18.1%5745752118.086445%18.086445%18.1%5032218.065321%18.065321%18.1%5105112318.019593%18.019593%18.0%7857862417.847764%17.847764%17.8%5722517.552450%17.552450%17.6%1,1772617.500593%17.500593%17.5%1,3701,3712717.476038%17.476038%17.5%76772817.449015%17.449015%17.4%3312917.161068%17.161068%17.2%1,0531,0543016.494771%16.494771%16.5%4904913616.279072%16.279072%16.3%1,7004016.149953%16.149953%16.1%1681694315.478341%15.478341%15.5%2785114.528516%14.528516%14.5%3,1033,1045714.482924%14.482924%14.5%57,27257.3k14.467540%14.467540%14.5%57,28957.3k14.158114%14.158114%14.2%3523535813.930235%13.930235%13.9%8978986013.587392%13.587392%13.6%150,532151k13.456071%13.456071%13.5%3876512.642188%12.642188%12.6%3737212.121968%12.121968%12.1%225,604226k11.378505%11.378505%11.4%257910.982610%10.982610%11.0%365,866366k10.351683%10.351683%10.4%2,459,5242.46M10.273445%10.273445%10.3%3,534,0223.53M10.035605%10.035605%10.0%14,852,82814.9M8.879701%8.879701%8.9%151152867.778198%7.778198%7.8%250251937.132613%7.132613%7.1%885957.039708%7.039708%7.0%166976.752782%6.752782%6.8%64986.746556%6.746556%6.7%222223994.832057%4.832057%4.8%831003.962017%3.962017%4.0%7172101

Management Income by Neighborhood#56

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Maple Leaf, selected other neighborhoods in Seattle, and entities that contain Maple Leaf
$0k$100k%Count#Broadmoor NeighborhoodBroadmoorMadison Park NeighborhoodMadison ParkDenny Triangle NeighborhoodDenny TrnglDenny - Blaine NeighborhoodDenny - BlaineSouth Lake Union NeighborhoodS Lk UnionLaurelhurst NeighborhoodLaurelhurstMontlake NeighborhoodMontlakeWindermere NeighborhoodWindermereMatthews Beach NeighborhoodMatthews BchMadrona NeighborhoodMadronaWest Queen Anne NeighborhoodW Queen AnneWaterfront NeighborhoodWaterfrontNorth Beach NeighborhoodNorth BeachBelltown NeighborhoodBelltownAlki NeighborhoodAlkiCapitol Hill NeighborhoodCapitol HillFauntleroy NeighborhoodFauntleroyMt. Baker NeighborhoodMt. BakerBroadview NeighborhoodBroadviewMadison Valley NeighborhoodMadison VlyRavenna NeighborhoodRavennaArbor Heights NeighborhoodArbor HeightsEast Queen Anne NeighborhoodE Queen AnneWestlake NeighborhoodWestlakeHillman City NeighborhoodHillman CityBryant NeighborhoodBryantPhinney Ridge NeighborhoodPhinney RidgeKing CountyKingDunlap NeighborhoodDunlapLeschi NeighborhoodLeschiWedgwood NeighborhoodWedgwoodMagnolia NeighborhoodMagnoliaJunction NeighborhoodJunctionWhittier Heights NeighborhoodWhittier HtsSeattleSeattle School DistrictSeattleSeattle, Tacoma, and Bellevue Metro AreaSeattle AreaBallard NeighborhoodBallardMaple Leaf NeighborhoodMaple LeafSeaview NeighborhoodSeaviewHolly Park NeighborhoodHolly ParkPacificWashingtonJudkins Park NeighborhoodJudkins ParkWestWallingford NeighborhoodWallingfordUnited States of AmericaUnited StatesJackson Place NeighborhoodJackson PlaceSouth Beacon Hill NeighborhoodS Beacon HlRoxhill NeighborhoodRoxhillMinor NeighborhoodMinorPinehurst NeighborhoodPinehurstNorthgate NeighborhoodNorthgateGeorgetown NeighborhoodGeorgetownUniversity District NeighborhoodUniv Dist$181,786.976371$181,786.976371$181.8k25.704%25.7%961$180,417.103554$180,417.103554$180.4k25.402%25.4%5685692$133,751.348251$133,751.348251$133.8k16.195%16.2%3403413$133,750.000000$133,750.000000$133.8k17.476%17.5%76774$129,213.349220$129,213.349220$129.2k16.495%16.5%4904915$128,235.000000$128,235.000000$128.2k19.048%19.0%4576$127,802.452943$127,802.452943$127.8k18.086%18.1%5037$124,696.432188$124,696.432188$124.7k18.982%19.0%2508$116,482.161828$116,482.161828$116.5k14.906%14.9%5145159$116,083.330896$116,083.330896$116.1k15.964%16.0%33510$113,881.995310$113,881.995310$113.9k18.446%18.4%68668711$111,951.264749$111,951.264749$112.0k22.606%22.6%373812$111,389.000000$111,389.000000$111.4k19.785%19.8%27013$110,707.817062$110,707.817062$110.7k17.501%17.5%1,3701,37114$108,668.856301$108,668.856301$108.7k18.020%18.0%78578615$107,757.528721$107,757.528721$107.8k14.529%14.5%3,1033,10416$107,386.848159$107,386.848159$107.4k18.998%19.0%54517$106,492.000000$106,492.000000$106.5k20.726%20.7%48949018$103,980.430067$103,980.430067$104.0k13.391%13.4%59459519$103,125.059422$103,125.059422$103.1k17.020%17.0%42820$99,436.678302$99,436.678302$99.4k12.298%12.3%76076121$99,108.778910$99,108.778910$99.1k18.344%18.3%58658722$97,712.586399$97,712.586399$97.7k19.622%19.6%98223$96,480.375630$96,480.375630$96.5k18.425%18.4%43424$96,100.839944$96,100.839944$96.1k12.163%12.2%24425$95,548.561970$95,548.561970$95.5k18.759%18.8%54654726$95,228.609480$95,228.609480$95.2k17.161%17.2%1,0531,05427$94,970.000000$94,970.000000$95.0k13.587%13.6%150,532151k$94,610.369079$94,610.369079$94.6k8.314%8.31%21628$94,275.155099$94,275.155099$94.3k17.848%17.8%57229$94,197.034565$94,197.034565$94.2k13.464%13.5%59960030$94,038.385443$94,038.385443$94.0k18.779%18.8%1,9741,97532$92,607.391131$92,607.391131$92.6k16.330%16.3%55455536$90,606.969699$90,606.969699$90.6k12.445%12.4%38638743$89,724.000000$89,724.000000$89.7k14.483%14.5%57,27257.3k$89,692.000000$89,692.000000$89.7k14.468%14.5%57,28957.3k$88,288.000000$88,288.000000$88.3k12.122%12.1%225,604226k$86,824.639959$86,824.639959$86.8k15.775%15.8%1,08751$85,453.651715$85,453.651715$85.5k13.930%13.9%89789855$84,372.040419$84,372.040419$84.4k15.832%15.8%43944058$81,790.205040$81,790.205040$81.8k3.962%3.96%717265$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$79,173.754448$79,173.754448$79.2k17.449%17.4%33172$75,299.000000$75,299.000000$75.3k10.273%10.3%3,534,0223.53M$74,916.797696$74,916.797696$74.9k16.279%16.3%1,70078$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$72,003.424459$72,003.424459$72.0k11.214%11.2%676879$67,806.210490$67,806.210490$67.8k7.040%7.04%16686$63,202.094329$63,202.094329$63.2k11.824%11.8%28929093$58,750.256441$58,750.256441$58.8k10.323%10.3%53497$57,812.086194$57,812.086194$57.8k12.740%12.7%36937098$57,431.000000$57,431.000000$57.4k8.840%8.84%15015199$55,620.866168$55,620.866168$55.6k6.753%6.75%64100$47,535.215913$47,535.215913$47.5k7.133%7.13%885101
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of neighborhood out of 101 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:
Washington
County:
King
Metro Area:
Seattle Area
City:
Seattle
ZIP Codes:
98103, 98115, 98125, 98133
Unified School District:
Seattle
Congressional District:
WA-7
State Senate Districts:
WA-43, WA-46
State House Districts:
WA-43, WA-46
Neighboring Neighborhoods:
Green Lake, Meadowbrook, North College Park, Northgate, Roosevelt, Victory Heights, Wedgwood
Nearby Neighborhoods:
Bitter Lake, Bryant, Greenwood, Haller Lake, Matthews Beach, Olympic Hills, Pinehurst, Ravenna, View Ridge, Woodland