Employment Status in Maple Leaf, Seattle, Washington (Neighborhood)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Seattle and Maple Leaf
Maple Leaf
Seattle
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.017702%0.210421%0.017702%0.0%1268.476115%68.711860%68.476115%68.5%6,4454.557874%3.729375%4.557874%4.6%42926.948309%27.348344%26.948309%26.9%2,536
Count population with given employment status
1excluding armed forces 2not in the labor force

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Seattle and Maple Leaf
Maple Leaf
Seattle
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.035899%0.000000%0.035899%0.035899%0.0%012-64.669044%-64.669044%-64.669044%64.7%64.669044%7.720659%64.669044%7.720659%72.389703%72.4%3,0853,3593,360-2.569166%-2.569166%-2.569166%2.6%2.569166%4.033058%2.569166%4.033058%6.602224%6.6%122123306-20.972175%-11.789615%-20.972175%-11.789615%-32.761790%32.8%20.972175%20.972175%20.972175%21.0%1,563973
F females with given employment status
M males with given employment status
1excluding armed forces 2not in the labor force

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of Maple Leaf
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%3.536908%0.000000%96.463092%96%240.000000%19.819120%20%6.996041%7%73.184839%73%430.000000%40.888506%41%0.940345%58.171149%58%1720.000000%44.595520%45%3.305724%52.098757%52%1681690.000000%62.794647%63%3.179359%34.025994%34%1430.000000%72.765315%73%11.684675%12%15.550010%16%4930.000000%86.120437%86%1.665817%12.213746%12%1,1050.000000%82.101711%82%5.415590%12.482700%12%1,5040.000000%83.013001%83%5.763814%11.223185%11%9379380.117663%77.850705%78%6.252087%6%15.779544%16%1,1040.000000%83.491462%83%2.017595%14.490943%14%5790.000000%60.509680%61%3.236138%36.254182%36%83840.000000%28.410710%28%5.834007%65.755283%66%880%20%40%60%80%100%Count
Count number of people in age cohort

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of Maple Leaf
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-192.875%2.87%5.099%5.10%15.384%15.4%31.216%31.2%40.825%40.8%40.959%41.0%52.695%52.7%36.891%36.9%58.859%58.9%67.859%67.9%78.267%78.3%69.313%69.3%82.345%82.3%90.544%90.5%74.773%74.8%88.384%88.4%80.423%80.4%85.615%85.6%73.886%73.9%81.298%81.3%89.908%89.9%75.564%75.6%53.646%53.6%71.835%71.8%48.049%48.0%14.742%14.7%
F employed females as percentage of age cohort
M employed males as percentage of age cohort

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Seattle and Maple Leaf
More Females More Males
Seattle
Maple Leaf
100%50%0%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-33.013580%-33.013580%33.0%49.534161%0.7520.75131410-26.624925%-26.624925%26.6%46.302251%0.7900.792419-10.461179%-10.461179%10.5%9.593657%0.9050.91908182-35.864493%-35.864493%35.9%1.387157%0.7360.749771-11.600188%-5.851414%-11.600188%11.6%0.8960.9075676841.118991%2.847207%41.118991%41.1%1.4111.41204205288289-6.546574%-6.546574%6.5%19.995403%0.9390.9457053537.880527%21.463209%37.880527%37.9%1.3791.386328718725.957177%18.779825%5.957177%6.0%1.0601.0645548234.883704%10.087774%34.883704%34.9%1.3491.35470634-46.989800%-15.027829%-46.989800%47.0%0.6800.68344345234-23.225453%-14.602588%-23.225453%23.2%0.8120.81463738-126.861401%-13.708920%-126.861401%126.9%0.4410.44612627
M:F ratio of males to females in the age cohort
F employed females in the age cohort
M employed males in the age cohort

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the neighborhoods in Seattle.
Scope: population of Seattle, Maple Leaf, and selected other neighborhoods in Seattles
Maple Leaf
Seattle
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-195.099%5.10%31.216%31.2%40.959%41.0%36.891%36.9%67.859%67.9%69.313%69.3%90.544%90.5%88.384%88.4%85.615%85.6%81.298%81.3%75.564%75.6%71.835%71.8%14.742%14.7%
% employed percentage of male population in Maple Leaf

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the neighborhoods in Seattle.
Scope: population of Seattle, Maple Leaf, and selected other neighborhoods in Seattles
Maple Leaf
Seattle
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-192.875%2.87%15.384%15.4%40.825%40.8%52.695%52.7%58.859%58.9%78.267%78.3%82.345%82.3%74.773%74.8%80.423%80.4%73.886%73.9%89.908%89.9%53.646%53.6%48.049%48.0%
% employed percentage of female population in Maple Leaf

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Seattle and Maple Leaf
Maple Leaf
Seattle
0%10%20%30%CountBoth Parents Work1Stay at Home Moms1Stay at Home Dads1Neither Parent WorksNeither Parent Wo…1Both Work, No Kids2Ladies Who Lunch2Gents Who Lunch2Neither Works, No KidsNeither Works, No …226.617650%27.474496%26.617650%26.6%48448510.751735%10.610775%10.751735%10.8%1951962.111280%1.702778%2.111280%2.1%381.980457%0.585507%1.980457%2.0%3635.785312%34.100809%35.785312%35.8%6518.183866%9.296449%8.183866%8.2%1481494.456044%4.936735%4.456044%4.5%8110.113657%11.292452%10.113657%10.1%184
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#9

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Seattle and Maple Leaf
Maple Leaf
Seattle
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work64.199059%68.050723%64.199059%64.2%48448525.932089%26.281497%25.932089%25.9%1951965.092192%4.217557%5.092192%5.1%384.776659%1.450223%4.776659%4.8%36

Employment among the Married Without Children#10

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Seattle and Maple Leaf
Maple Leaf
Seattle
0%10%20%30%40%50%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work61.130846%57.190747%61.130846%61.1%65113.980223%15.591151%13.980223%14.0%1481497.612110%8.279439%7.612110%7.6%8117.276821%18.938663%17.276821%17.3%184

Employment by Educational Attainment#11

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Seattle and Maple Leaf
Maple Leaf
Seattle
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.807806%86.534400%84.807806%84.8%3,8203,82168.000866%75.840126%68.000866%68.0%1,2081,20967.833377%68.400904%67.833377%67.8%31331456.503345%58.244555%56.503345%56.5%112113
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

The Non-Working by Race#12

Percentage of each ethno-racial group's population 16 to 64 years of age that is either unemployed or not in the labor force.
Scope: population of Seattle and Maple Leaf
Female Male
Seattle
Maple Leaf
Shaded bar tips show excess over facing bar.
40%20%0%20%40%%Hispanic1BlackOtherAsianMixedWhite-38.438355%-17.641152%-8.888963%-38.438355%38.4%38.438355%1.699506%17.641152%40.137861%40.1%39.092%39.1%-29.729296%-37.146960%-6.525445%-29.729296%29.7%29.729296%15.652436%37.146960%45.381732%45.4%36.160%36.2%-12.352570%-46.660325%-26.324057%-5.684959%-59.012895%59.0%12.352570%26.324057%12.352570%12.4%33.542%33.5%-31.350094%-6.578252%-25.816572%-8.205455%-37.928345%37.9%31.350094%25.816572%31.350094%31.4%33.921%33.9%-21.117883%-10.899002%-28.059587%-4.025519%-32.016885%32.0%21.117883%28.059587%21.117883%21.1%27.204%27.2%-19.180393%-0.495298%-17.130618%-4.646208%-19.675692%19.7%19.180393%17.130618%19.180393%19.2%19.423%19.4%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Seattle and Maple Leaf
Female Male
Seattle
Maple Leaf
Shaded bar tips show excess over facing bar.
20%10%0%10%20%%BlackHispanic1OtherAsianWhiteMixed-6.369682%-7.551958%-6.369682%6.4%6.369682%21.365646%7.551958%1.142393%27.735328%27.7%15.148%15.1%-0.998176%-20.116924%-3.767374%-21.115100%21.1%0.998176%3.767374%0.193796%0.998176%1.0%13.383%13.4%-0.000000%-16.039880%-7.001972%-16.039880%16.0%0.000000%7.001972%0.269123%0.000000%0.0%7.284%7.28%-1.450749%-4.003025%-0.407773%-1.450749%1.5%1.450749%11.410183%4.003025%12.860931%12.9%8.401%8.40%-1.584564%-3.286870%-1.584564%1.6%1.584564%4.302834%3.286870%0.474837%5.887398%5.9%3.779%3.78%-2.088249%-1.870738%-5.301757%-0.684059%-3.958988%4.0%2.088249%5.301757%2.088249%2.1%3.133%3.13%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#14

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Seattle and Maple Leaf
Female Male
Seattle
Maple Leaf
Shaded bar tips show excess over facing bar.
0.0%0.5%1.0%1.5%%OtherWhiteHispanic1BlackAsianMixed-0.000000%-0.000000%0.000000%0.00%0.000000%1.546661%0.000000%0.482496%1.546661%1.55%0.844%0.84%-0.000000%-0.046999%0.000000%0.00%0.000000%0.000000%0.046999%0.329290%0.000000%0.00%0.000%0%-0.000000%-0.146306%0.000000%0.00%0.000000%0.000000%0.146306%1.259630%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.753949%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.389378%0.000000%0.00%0.000%0%-0.000000%-0.160428%-0.066523%0.000000%0.00%0.000000%0.000000%0.160428%0.000000%0.00%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Seattle and Maple Leaf
Female Male
Seattle
Maple Leaf
Shaded bar tips show excess over facing bar.
50%0%50%%WhiteMixedAsianOtherBlackHispanic1-80.324308%-78.223173%-80.324308%80.3%80.324308%0.495298%78.223173%4.646208%80.819607%80.8%80.577%80.6%-67.983115%-67.914894%-67.983115%68.0%67.983115%10.899002%67.914894%4.025519%78.882117%78.9%72.796%72.8%-62.071655%-65.977972%-62.071655%62.1%62.071655%6.578252%65.977972%8.205455%68.649906%68.6%66.079%66.1%-40.987105%-67.990983%-40.987105%41.0%40.987105%46.660325%67.990983%5.684959%87.647430%87.6%66.458%66.5%-54.618268%-15.652436%-56.327594%-70.270704%70.3%54.618268%56.327594%6.525445%54.618268%54.6%63.840%63.8%-59.862139%-1.699506%-73.469885%-61.561645%61.6%59.862139%73.469885%8.888963%59.862139%59.9%60.908%60.9%
% percentage of both sexes combined
1white Hispanic

Map of Employment Status by Tract in Maple Leaf

Both Parents Work Employment Status by Tract#16

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
15.8%19.5%23.2%26.9%30.5%34.2%

Stay at Home Moms Employment Status by Tract#17

Percentage of married families with children under the age of 18 present in which the husband works outside the home and the wife stays at home (%):
7.1%8.3%9.3%10.4%11.5%12.6%

Stay at Home Dads Employment Status by Tract#18

Percentage of married families with children under the age of 18 present in which the wife works outside the home and the husband stays at home (%):
0.0%0.9%1.7%2.6%3.5%4.4%

Neither Parent Works Employment Status by Tract#19

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.0%1.4%2.8%4.2%5.5%7.0%

Employed Working-Age Men Employment Status by Tract#20

Percentage of male population aged 35 to 44 years old that are employed
63%71%77%84%91%99%
Road Data ©OpenStreetMap

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Employment Status 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.

Employed Working-Age Men by Neighborhood#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Maple Leaf, selected other neighborhoods in Seattle, and entities that contain Maple Leaf
0%50%100%Count#Hawthorne Hills NeighborhoodHawthorne HlsArbor Heights NeighborhoodArbor HeightsBryant NeighborhoodBryantSand Point NeighborhoodSand PointView Ridge NeighborhoodView RidgeWestlake NeighborhoodWestlakeRavenna NeighborhoodRavennaDenny - Blaine NeighborhoodDenny - BlaineSunset Hill NeighborhoodSunset HillLower Queen Anne NeighborhoodLower Queen AnneBallard NeighborhoodBallardEast Queen Anne NeighborhoodE Queen AnneFauntleroy NeighborhoodFauntleroyPinehurst NeighborhoodPinehurstWest Queen Anne NeighborhoodW Queen AnneRoosevelt NeighborhoodRooseveltCedar Park NeighborhoodCedar ParkLeschi NeighborhoodLeschiLoyal Heights NeighborhoodLoyal HeightsWhittier Heights NeighborhoodWhittier HtsEastlake NeighborhoodEastlakeNorth College Park NeighborhoodN College PkAlki NeighborhoodAlkiOlympic Manor NeighborhoodOlympic ManorHaller Lake NeighborhoodHaller LakeVictory Heights NeighborhoodVictory HtsPortage Bay NeighborhoodPortage BayCrown Hill NeighborhoodCrown HillMontlake NeighborhoodMontlakeWest Woodland NeighborhoodWest WoodlandWindermere NeighborhoodWindermereMagnolia NeighborhoodMagnoliaWallingford NeighborhoodWallingfordMatthews Beach NeighborhoodMatthews BchAdmiral NeighborhoodAdmiralKing CountyKingGarfield NeighborhoodGarfieldSeattleSeattle School DistrictSeattleMaple Leaf NeighborhoodMaple LeafCapitol Hill NeighborhoodCapitol HillGatewood NeighborhoodGatewoodSeattle, Tacoma, and Bellevue Metro AreaSeattle AreaUniversity District NeighborhoodUniv DistWashingtonNorth Queen Anne NeighborhoodN Queen AnneWestPacificUnited States of AmericaUnited StatesCentral NeighborhoodCentralHolly Park NeighborhoodHolly ParkIndustrial District NeighborhoodInd DistBroadmoor NeighborhoodBroadmoorDunlap NeighborhoodDunlapWaterfront NeighborhoodWaterfrontNorthgate NeighborhoodNorthgateDowntown NeighborhoodDowntown100.000000%100.000000%100.0%127128199.388469%99.388469%99.4%495299.382792%99.382792%99.4%399398.809524%98.809524%98.8%23497.598496%97.598496%97.6%411412596.992463%96.992463%97.0%285286696.941098%96.941098%96.9%764796.747967%96.747967%96.7%6667896.673833%96.673833%96.7%440441996.638924%96.638924%96.6%4731096.456929%96.456929%96.5%1,0101196.363615%96.363615%96.4%6136141296.147657%96.147657%96.1%3191395.252607%95.252607%95.3%4031495.099255%95.099255%95.1%4054061595.042962%95.042962%95.0%2891694.915799%94.915799%94.9%3743751794.693568%94.693568%94.7%3681894.655712%94.655712%94.7%7091994.479988%94.479988%94.5%4622094.399244%94.399244%94.4%2722732193.955238%93.955238%94.0%5922293.932223%93.932223%93.9%5135142393.823529%93.823529%93.8%1652493.721835%93.721835%93.7%6526532593.696438%93.696438%93.7%3922693.436293%93.436293%93.4%682793.114005%93.114005%93.1%2812822893.098395%93.098395%93.1%3603612992.996796%92.996796%93.0%6733092.239205%92.239205%92.2%1621633691.910170%91.910170%91.9%1,4763791.635242%91.635242%91.6%1,2034191.435907%91.435907%91.4%3564389.883119%89.883119%89.9%1,0145189.338108%89.338108%89.3%141,466141k88.888889%88.888889%88.9%2095888.554782%88.554782%88.6%49,09349.1k88.529491%88.529491%88.5%49,15649.2k88.384317%88.384317%88.4%8718726288.162307%88.162307%88.2%2,5122,5136387.564116%87.564116%87.6%4854866587.555410%87.555410%87.6%232,281232k86.522553%86.522553%86.5%7107116885.192832%85.192832%85.2%398,590399k85.063810%85.063810%85.1%6226237284.237717%84.237717%84.2%4,179,1624.18M84.085478%84.085478%84.1%2,905,9422.91M83.826751%83.826751%83.8%16,918,49516.9M82.634897%82.634897%82.6%2997978.676442%78.676442%78.7%2322338676.334594%76.334594%76.3%349373.475803%73.475803%73.5%48499769.695985%69.695985%69.7%2582599864.404671%64.404671%64.4%19209963.622527%63.622527%63.6%20710059.287916%59.287916%59.3%465466101
Count number of employed 35 to 44 year old men
# rank of neighborhood out of 101 by percentage employed 35 to 44 year old men

Definitions

  • Armed Forces: persons on active duty in the Armed Forces
  • Employed: persons who did any work for pay during the survey week, those who did at least 15 hours of unpaid work in a family-owned enterprise operated by someone in their household, and those who were temporarily absent from their regular jobs
  • Unemployed: persons are classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work
  • Not in Labor Force: not in the labor force are those who are not classified as employed or unemployed during the survey reference week
  • Working-Age Men: males aged 35 to 44 years old, the national peak employment age

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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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