Sectors in Westlake, Seattle, Washington (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Seattle and Westlake
Westlake
Seattle
0%20%40%60%CountPrivateNon-ProfitSelf-Employed1Sole Proprietor2State GovernmentLocal GovernmentFederal GovernmentUnpaid Family69.142257%63.243182%69.142257%69.1%1,62911.804339%12.429541%11.804339%11.8%2786.321863%4.134835%6.321863%6.3%1481494.437974%6.318451%4.437974%4.4%1041054.139272%7.028537%4.139272%4.1%97983.575395%4.757678%3.575395%3.6%840.578900%1.950208%0.578900%0.6%13140.000000%0.000000%0.0%0.137567%0

Relative Workers by Sector#2

Percentage more or less common in Westlake than in Seattle, among the civilian employed population aged 16 and older.
Scope: population of Seattle and Westlake
Less Common
More Common
100%50%0%50%%ref.Self-Employed1PrivateNon-ProfitLocal GovernmentSole Proprietor2State GovernmentFederal GovernmentUnpaid Family52.892735%52.892735%52.9%6.322%6.32%4.135%4.13%9.327607%9.327607%9.3%69.142%69.1%63.243%63.2%-5.029970%-5.029970%5.0%11.804%11.8%12.430%12.4%-24.850004%-24.850004%24.9%3.575%3.58%4.758%4.76%-29.761682%-29.761682%29.8%4.438%4.44%6.318%6.32%-41.107635%-41.107635%41.1%4.139%4.14%7.029%7.03%-70.315999%-70.315999%70.3%0.579%0.58%1.950%1.95%-100.000000%-100.000000%100.0%0.000%0%0.138%0.14%

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Seattle and Westlake
Westlake
Seattle
0%20%40%PartFullState GovernmentSole Proprietor1All SectorsNon-ProfitPrivateLocal GovernmentSelf-Employed2Federal Government47.150621%34.906814%47.150621%47.2%4546515243.481355%57.760346%43.481355%43.5%455924.238643%31.352274%24.238643%24.2%5711,78524.182716%30.841064%24.182716%24.2%6721021122.496934%28.954545%22.496934%22.5%3663671,2621,26321.899222%28.420325%21.899222%21.9%18656618.424602%33.331295%18.424602%18.4%271211220.000000%0.000000%0.0%14.730290%01314

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Seattle and Westlake
Westlake
Seattle
$0k$20k$40k$60k$80k%CountSelf-Employed1PrivateAll SectorsLocal GovernmentState GovernmentNon-ProfitSole Proprietor2$92,116.199767$73,794.000000$92,116.199767$92.1k6.322%6.32%148149$78,093.069009$64,259.000000$78,093.069009$78.1k69.142%69.1%1,629$71,102.611775$62,112.000000$71,102.611775$71.1k100.000%100%2,356$67,137.585081$66,549.000000$67,137.585081$67.1k3.575%3.58%84$62,115.000000$56,784.000000$62,115.000000$62.1k4.139%4.14%9798$46,938.343050$56,228.000000$46,938.343050$46.9k11.804%11.8%278$40,202.615370$43,232.000000$40,202.615370$40.2k4.438%4.44%104105

Sex Ratio by Sector#5

Sex ratio by sector among the civilian employed population aged 16 and older.
Scope: population of Seattle and Westlake
Female Male
Seattle
Westlake
3x2x1x0x1x2x3xFMPrivateSelf-Employed1All SectorsFederal GovernmentLocal GovernmentSole Proprietor2Non-ProfitState Government-1.000000x-1.000000x-1.000000x1.605122x1.325031x1.605122x1.61x6251,0031,004-1.000000x-1.000000x-1.000000x1.513269x1.844147x1.513269x1.51x598990-1.000000x-1.000000x-1.000000x1.184081x1.110684x1.184081x1.18x1,0781,0791,2771,278-1.206227x-1.000000x-1.206227x1.21x1.000000x1.160224x1.000000x76-1.285897x-1.166513x-1.285897x1.29x1.000000x1.000000x1.000000x473637-1.797404x-1.023322x-1.797404x1.80x1.000000x1.000000x1.000000x6737-2.510193x-1.764610x-2.510193x2.51x1.000000x1.000000x1.000000x19819979-3.016809x-1.358622x-3.016809x3.02x1.000000x1.000000x1.000000x7324

Sectors by Neighborhood in Seattle

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

Private Sector by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Westlake, selected other neighborhoods in Seattle, and entities that contain Westlake
0%20%40%60%Count#Denny Triangle NeighborhoodDenny TrnglUptown NeighborhoodUptownBelltown NeighborhoodBelltownSouth Lake Union NeighborhoodS Lk UnionInternational District NeighborhoodIntl DistHolly Park NeighborhoodHolly ParkZIP Code 98109ZIP 98109Little Saigon NeighborhoodLittle SaigonDowntown NeighborhoodDowntownSouth Park NeighborhoodSouth ParkWaterfront NeighborhoodWaterfrontLower Queen Anne NeighborhoodLower Queen AnneBrighton NeighborhoodBrightonDunlap NeighborhoodDunlapFirst Hill NeighborhoodFirst HillPioneer Square NeighborhoodPioneer SqEast Queen Anne NeighborhoodE Queen AnneGeorgetown NeighborhoodGeorgetownYesler Terrace NeighborhoodYesler TerSouth Beacon Hill NeighborhoodS Beacon HlWestlake NeighborhoodWestlakeKing CountyKingSeattle, Tacoma, and Bellevue Metro AreaSeattle AreaPinehurst NeighborhoodPinehurstUnited States of AmericaUnited StatesSouth Delridge NeighborhoodS DelridgeFremont NeighborhoodFremontBeacon Hill NeighborhoodBeacon HillWestPacificRainier Beach NeighborhoodRainier BeachHighland Park NeighborhoodHighland ParkNorth College Park NeighborhoodN College PkMinor NeighborhoodMinorRoxhill NeighborhoodRoxhillNorth Queen Anne NeighborhoodN Queen AnneWashingtonCapitol Hill NeighborhoodCapitol HillOlympic Hills NeighborhoodOlympic HillsRainier View NeighborhoodRainier ViewSeattle School DistrictSeattleSeattleMagnolia NeighborhoodMagnoliaLoyal Heights NeighborhoodLoyal HeightsMaple Leaf NeighborhoodMaple LeafSunset Hill NeighborhoodSunset HillUniversity District NeighborhoodUniv DistHillman City NeighborhoodHillman CityRoosevelt NeighborhoodRooseveltWallingford NeighborhoodWallingfordView Ridge NeighborhoodView RidgeWindermere NeighborhoodWindermereMt. Baker NeighborhoodMt. BakerGarfield NeighborhoodGarfieldMadrona NeighborhoodMadronaMatthews Beach NeighborhoodMatthews BchDenny - Blaine NeighborhoodDenny - Blaine78.311717%78.311717%78.3%1,6471,648177.941774%77.941774%77.9%2,592276.948574%76.948574%76.9%6,0266,027375.689524%75.689524%75.7%2,2522,253474.622806%74.622806%74.6%1,274573.133956%73.133956%73.1%1,321672.946438%72.946438%72.9%13,37413.4k72.785074%72.785074%72.8%101102772.605682%72.605682%72.6%2,8632,864872.480849%72.480849%72.5%1,2461,247971.266721%71.266721%71.3%1191201071.258989%71.258989%71.3%2,9621171.200995%71.200995%71.2%2,6351270.944522%70.944522%70.9%1,8451,8461370.889884%70.889884%70.9%4,8364,8371470.542873%70.542873%70.5%3561570.228208%70.228208%70.2%3,5153,5161670.052218%70.052218%70.1%6666671769.428141%69.428141%69.4%5695701869.359108%69.359108%69.4%1,6371,6381969.142257%69.142257%69.1%1,6292068.746886%68.746886%68.7%761,633762k68.575646%68.575646%68.6%1,276,2731.28M68.483309%68.483309%68.5%1,9882168.253043%68.253043%68.3%101,015,409101M67.787222%67.787222%67.8%2,3882,3892267.732130%67.732130%67.7%6,1182367.715936%67.715936%67.7%4,5472467.343589%67.343589%67.3%23,165,91323.2M67.117554%67.117554%67.1%15,946,89815.9M67.021452%67.021452%67.0%2,1622567.006269%67.006269%67.0%2,2142666.895450%66.895450%66.9%2,9002766.163124%66.163124%66.2%3,4233,4242866.103910%66.103910%66.1%1,6201,6212966.101101%66.101101%66.1%4,4334,4343065.958309%65.958309%66.0%2,197,2832.20M65.844076%65.844076%65.8%14,06614.1k3165.291230%65.291230%65.3%2,7102,7113664.064500%64.064500%64.1%1,2501,2514363.252463%63.252463%63.3%250,469250k63.243182%63.243182%63.2%250,092250k62.592019%62.592019%62.6%6,5824762.444639%62.444639%62.4%3,0145160.937842%60.937842%60.9%3,9273,9285859.323426%59.323426%59.3%1,9811,9826558.667113%58.667113%58.7%7,2827,2836758.196856%58.196856%58.2%1,1681,1697256.876281%56.876281%56.9%1,3927956.611069%56.611069%56.6%5,9138255.853664%55.853664%55.9%1,5781,5798654.577977%54.577977%54.6%7209353.149606%53.149606%53.1%1,2559751.829268%51.829268%51.8%6836849847.887216%47.887216%47.9%1,0059947.443754%47.443754%47.4%1,6381,63910043.482428%43.482428%43.5%190191101

Private Income by Neighborhood#14

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Westlake, selected other neighborhoods in Seattle, and entities that contain Westlake
$0k$50k$100k%Count#Denny - Blaine NeighborhoodDenny - BlaineLaurelhurst NeighborhoodLaurelhurstMadison Park NeighborhoodMadison ParkBroadmoor NeighborhoodBroadmoorWindermere NeighborhoodWindermereMadrona NeighborhoodMadronaMontlake NeighborhoodMontlakeHawthorne Hills NeighborhoodHawthorne HlsDenny Triangle NeighborhoodDenny TrnglMadison Valley NeighborhoodMadison VlyBryant NeighborhoodBryantSouth Lake Union NeighborhoodS Lk UnionMatthews Beach NeighborhoodMatthews BchBelltown NeighborhoodBelltownWedgwood NeighborhoodWedgwoodRavenna NeighborhoodRavennaWaterfront NeighborhoodWaterfrontMt. Baker NeighborhoodMt. BakerWest Queen Anne NeighborhoodW Queen AnneView Ridge NeighborhoodView RidgeFauntleroy NeighborhoodFauntleroyMagnolia NeighborhoodMagnoliaNorth Beach NeighborhoodNorth BeachZIP Code 98109ZIP 98109East Queen Anne NeighborhoodE Queen AnneOlympic Manor NeighborhoodOlympic ManorAlki NeighborhoodAlkiWestlake NeighborhoodWestlakeGatewood NeighborhoodGatewoodSand Point NeighborhoodSand PointAdmiral NeighborhoodAdmiralPhinney Ridge NeighborhoodPhinney RidgeMeadowbrook NeighborhoodMeadowbrookCapitol Hill NeighborhoodCapitol HillEastlake NeighborhoodEastlakeWallingford NeighborhoodWallingfordRiverview NeighborhoodRiverviewSeattleSeattle School DistrictSeattleKing CountyKingFremont NeighborhoodFremontSeattle, Tacoma, and Bellevue Metro AreaSeattle AreaColumbia City NeighborhoodColumbia CityWashingtonHigh Point NeighborhoodHigh PointPacificHaller Lake NeighborhoodHaller LakeWestUnited States of AmericaUnited StatesUniversity District NeighborhoodUniv DistRainier View NeighborhoodRainier ViewRainier Beach NeighborhoodRainier BeachSouth Park NeighborhoodSouth ParkHolly Park NeighborhoodHolly ParkSouth Beacon Hill NeighborhoodS Beacon HlDunlap NeighborhoodDunlap$133,594.000000$133,594.000000$133.6k43.482%43.5%1901911$125,455.000000$125,455.000000$125.5k54.531%54.5%1,3081,3092$125,060.812499$125,060.812499$125.1k56.943%56.9%1,2753$124,702.971151$124,702.971151$124.7k57.516%57.5%2154$121,899.878838$121,899.878838$121.9k54.578%54.6%7205$111,731.778592$111,731.778592$111.7k47.887%47.9%1,0056$102,613.177945$102,613.177945$102.6k56.343%56.3%1,5677$101,618.000000$101,618.000000$101.6k56.294%56.3%5368$100,219.231770$100,219.231770$100.2k78.312%78.3%1,6471,6489$99,442.590371$99,442.590371$99.4k58.623%58.6%1,47410$95,832.628878$95,832.628878$95.8k56.814%56.8%1,65611$92,955.071888$92,955.071888$93.0k75.690%75.7%2,2522,25312$91,049.587398$91,049.587398$91.0k47.444%47.4%1,6381,63913$90,345.779477$90,345.779477$90.3k76.949%76.9%6,0266,02714$89,869.976027$89,869.976027$89.9k55.532%55.5%2,47315$89,530.618407$89,530.618407$89.5k56.503%56.5%3,4943,49516$88,385.891970$88,385.891970$88.4k71.267%71.3%11912017$88,142.000000$88,142.000000$88.1k53.150%53.1%1,25518$85,005.680755$85,005.680755$85.0k65.615%65.6%2,4422,44319$84,737.195830$84,737.195830$84.7k55.854%55.9%1,5781,57920$83,716.777773$83,716.777773$83.7k55.346%55.3%1,58821$83,313.797712$83,313.797712$83.3k62.592%62.6%6,58222$82,891.000000$82,891.000000$82.9k59.928%59.9%81881923$81,932.000000$81,932.000000$81.9k72.946%72.9%13,37413.4k$81,026.172496$81,026.172496$81.0k70.228%70.2%3,5153,51624$80,179.000000$80,179.000000$80.2k62.795%62.8%79725$79,869.242127$79,869.242127$79.9k60.681%60.7%2,6452,64626$78,093.069009$78,093.069009$78.1k69.142%69.1%1,62927$77,427.883103$77,427.883103$77.4k57.607%57.6%2,17228$77,391.000000$77,391.000000$77.4k55.419%55.4%838429$77,376.738848$77,376.738848$77.4k55.719%55.7%3,5353,53630$73,697.260174$73,697.260174$73.7k54.554%54.6%3,35036$71,588.641583$71,588.641583$71.6k57.460%57.5%1,0201,02143$71,316.924403$71,316.924403$71.3k65.844%65.8%14,06614.1k47$68,079.029911$68,079.029911$68.1k62.527%62.5%1,98051$65,616.866386$65,616.866386$65.6k56.611%56.6%5,91357$65,542.096872$65,542.096872$65.5k57.600%57.6%1,28458$64,259.000000$64,259.000000$64.3k63.243%63.2%250,092250k$64,105.000000$64,105.000000$64.1k63.252%63.3%250,469250k$62,904.000000$62,904.000000$62.9k68.747%68.7%761,633762k$61,418.852187$61,418.852187$61.4k67.732%67.7%6,11865$56,281.000000$56,281.000000$56.3k68.576%68.6%1,276,2731.28M$53,356.546358$53,356.546358$53.4k59.959%60.0%2,53872$49,397.000000$49,397.000000$49.4k65.958%66.0%2,197,2832.20M$49,205.921249$49,205.921249$49.2k58.205%58.2%1,7181,71979$45,132.000000$45,132.000000$45.1k67.118%67.1%15,946,89815.9M$43,305.006627$43,305.006627$43.3k64.322%64.3%2,98286$42,984.000000$42,984.000000$43.0k67.344%67.3%23,165,91323.2M$42,182.000000$42,182.000000$42.2k68.253%68.3%101,015,409101M$40,563.913082$40,563.913082$40.6k58.667%58.7%7,2827,28389$38,407.000000$38,407.000000$38.4k64.064%64.1%1,2501,25193$35,528.939515$35,528.939515$35.5k67.021%67.0%2,16297$35,000.000000$35,000.000000$35.0k72.481%72.5%1,2461,24798$34,986.913637$34,986.913637$35.0k73.134%73.1%1,32199$33,837.138749$33,837.138749$33.8k69.359%69.4%1,6371,638100$32,496.754201$32,496.754201$32.5k70.945%70.9%1,8451,846101

Definitions

A sector describes the organizational category of a person’s employing organization. On this page, all employed persons are categorized as working in one of the following sectors (bolded terms are used in the charts and maps on this page):

  • Private for-profit wage and salary workers:
    • Private: Employee of private company workers
    • Self-Employed: Self-employed in own incorporated business workers
  • Non-Profit: Private not-for-profit wage and salary workers
  • Local Government: Local government workers
  • State Government: State government workers
  • Federal Government: Federal government workers
  • Sole Proprietor: Self-employed in own not incorporated business workers
  • Unpaid Family: Unpaid family workers

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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