Sectors in Cedar Park, Seattle, Washington (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Seattle and Cedar Park
Cedar Park
Seattle
0%20%40%60%CountPrivateNon-ProfitState GovernmentLocal GovernmentSole Proprietor1Federal GovernmentSelf-Employed2Unpaid Family56.756134%63.243182%56.756134%56.8%1,63313.399711%12.429541%13.399711%13.4%38538610.685831%7.028537%10.685831%10.7%3073087.206847%4.757678%7.206847%7.2%2076.556088%6.318451%6.556088%6.6%1881893.251902%1.950208%3.251902%3.3%93942.093768%4.134835%2.093768%2.1%600.049719%0.137567%0.049719%0.0%1

Relative Workers by Sector#2

Percentage more or less common in Cedar Park than in Seattle, among the civilian employed population aged 16 and older.
Scope: population of Seattle and Cedar Park
Less Common
More Common
50%0%50%%ref.Federal GovernmentState GovernmentLocal GovernmentNon-ProfitSole Proprietor1PrivateSelf-Employed2Unpaid Family66.746405%66.746405%66.7%3.252%3.25%1.950%1.95%52.034915%52.034915%52.0%10.686%10.7%7.029%7.03%51.478247%51.478247%51.5%7.207%7.21%4.758%4.76%7.805355%7.805355%7.8%13.400%13.4%12.430%12.4%3.760999%3.760999%3.8%6.556%6.56%6.318%6.32%-10.257308%-10.257308%10.3%56.756%56.8%63.243%63.2%-49.362727%-49.362727%49.4%2.094%2.09%4.135%4.13%-63.858527%-63.858527%63.9%0.050%0.05%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 Cedar Park
Cedar Park
Seattle
0%50%100%PartFullUnpaid FamilySole Proprietor1All SectorsPrivateState GovernmentNon-ProfitLocal GovernmentSelf-Employed2Federal Government100.000000%62.867647%100.000000%100.0%1070.452109%57.760346%70.452109%70.5%132133555631.226670%31.352274%31.226670%31.2%8988991,97931.123436%28.954545%31.123436%31.1%5081,12529.524229%34.906814%29.524229%29.5%909121621728.656555%30.841064%28.656555%28.7%11011127517.810730%28.420325%17.810730%17.8%363717012.806054%33.331295%12.806054%12.8%78525310.672652%14.730290%10.672652%10.7%9108384

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Seattle and Cedar Park
Cedar Park
Seattle
$0k$20k$40k$60k$80k%CountFederal GovernmentLocal GovernmentSelf-Employed1PrivateAll SectorsState GovernmentNon-ProfitSole Proprietor2$84,929.078244$80,101.000000$84,929.078244$84.9k3.252%3.25%9394$66,529.428193$66,549.000000$66,529.428193$66.5k7.207%7.21%207$64,059.200756$73,794.000000$64,059.200756$64.1k2.094%2.09%60$61,610.047753$64,259.000000$61,610.047753$61.6k56.756%56.8%1,633$61,001.650614$62,112.000000$61,001.650614$61.0k100.000%100%2,8772,878$58,446.353260$56,784.000000$58,446.353260$58.4k10.686%10.7%307308$53,614.695421$56,228.000000$53,614.695421$53.6k13.400%13.4%385386$29,359.075294$43,232.000000$29,359.075294$29.4k6.556%6.56%188189

Map of Sectors by Tract in Cedar Park

Private Sectors by Tract#5

Percentage of the population aged 16 and older employed in sector: private (%):
43.0%46.4%49.9%53.3%56.7%60.2%

Self-Employed Sectors by Tract#6

Percentage of the population aged 16 and older employed in sector: self-employed (owns corporation) (%):
1.53%1.90%2.27%2.63%3.00%3.37%

Non-Profit Sectors by Tract#7

Percentage of the population aged 16 and older employed in sector: non-profit (%):
12.1%12.9%13.7%14.4%15.1%15.9%

Local Government Sectors by Tract#8

Percentage of the population aged 16 and older employed in sector: local government (%):
4.3%5.2%6.0%6.8%7.6%8.5%

State Government Sectors by Tract#9

Percentage of the population aged 16 and older employed in sector: state government (%):
9.2%11.7%14.2%16.7%19.1%21.7%

Federal Government Sectors by Tract#10

Percentage of the population aged 16 and older employed in sector: federal government (%):
2.4%3.0%3.6%4.2%4.7%5.4%

Sole Proprietor Sectors by Tract#11

Percentage of the population aged 16 and older employed in sector: sole proprietor (and other unincorporated businesses) (%):
5.3%6.8%8.2%9.7%11.1%12.6%

Unpaid Family Sectors by Tract#12

Percentage of the population aged 16 and older employed in sector: unpaid family (%):
0.00%0.08%0.17%0.25%0.33%0.42%
Road Data ©OpenStreetMap

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Private Sector Income by Tract#13

Median income of the population aged 16 and older employed in sector: private (%):
$50k$60k$70k$80k$90k$101k

Self-Employed Sector Income by Tract#14

Median income of the population aged 16 and older employed in sector: self-employed (owns corporation) (%):
$48k$67k$85k$103k$121k$139k

Non-Profit Sector Income by Tract#15

Median income of the population aged 16 and older employed in sector: non-profit (%):
$41k$52k$64k$75k$86k$98k

Local Government Sector Income by Tract#16

Median income of the population aged 16 and older employed in sector: local government (%):
$46k$57k$67k$76k$86k$97k

State Government Sector Income by Tract#17

Median income of the population aged 16 and older employed in sector: state government (%):
$35k$49k$62k$75k$89k$102k

Federal Government Sector Income by Tract#18

Median income of the population aged 16 and older employed in sector: federal government (%):
$63k$73k$83k$93k$103k$113k

Sole Proprietor Sector Income by Tract#19

Median income of the population aged 16 and older employed in sector: sole proprietor (and other unincorporated businesses) (%):
$10k$31k$52k$72k$93k$114k
Road Data ©OpenStreetMap

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Sectors by Neighborhood in Seattle

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

Private Sector by Neighborhood#20

Percentage of the civilian employed population aged 16 and older.
Scope: population of Cedar Park, selected other neighborhoods in Seattle, and entities that contain Cedar Park
0%20%40%60%Count#Denny Triangle NeighborhoodDenny TrnglUptown NeighborhoodUptownBelltown NeighborhoodBelltownSouth Lake Union NeighborhoodS Lk UnionInternational District NeighborhoodIntl DistHolly Park NeighborhoodHolly ParkLittle 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 HillZIP Code 98125ZIP 98125University District NeighborhoodUniv DistHillman City NeighborhoodHillman CityRoosevelt NeighborhoodRooseveltCedar Park NeighborhoodCedar ParkWallingford 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%1,321672.785074%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%1,9811,9826559.134797%59.134797%59.1%12,49412.5k58.667113%58.667113%58.7%7,2827,2836758.196856%58.196856%58.2%1,1681,1697256.876281%56.876281%56.9%1,3927956.756134%56.756134%56.8%1,6338156.611069%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#28

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Cedar Park, selected other neighborhoods in Seattle, and entities that contain Cedar Park
$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 BeachEast 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 CountyKingCedar Park NeighborhoodCedar ParkFremont NeighborhoodFremontSeattle, Tacoma, and Bellevue Metro AreaSeattle AreaColumbia City NeighborhoodColumbia CityZIP Code 98125ZIP 98125WashingtonHigh 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$81,026.172496$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$61,610.047753$61,610.047753$61.6k56.756%56.8%1,63364$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$51,237.000000$51,237.000000$51.2k59.135%59.1%12,49412.5k$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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