Educational Attainment in Toledo-Vader, Lewis County, Washington (Census County Division)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Lewis County and Toledo-Vader
Toledo-Vader
Lewis County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma224.212981%28.158947%24.212981%24.2%62363.816557%58.911059%63.816557%63.8%1,64211.970462%12.929994%11.970462%12.0%308
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Lewis County at large.
Scope: population of Lewis County and Toledo-Vader
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-14.013187%-14.013187%-14.0%24.213%24.2%28.159%28.2%8.326955%8.326955%+8.3%63.817%63.8%58.911%58.9%-7.420974%-7.420974%-7.4%11.970%12.0%12.930%12.9%
% percentage with given level in Toledo-Vader
ref. percentage with given level in Lewis County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Lewis County and Toledo-Vader
Toledo-Vader
Lewis County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.373416%00.077730%0.978802%0.077730%0.1%23.148076%4.469674%3.148076%3.1%818.744656%9.688066%8.744656%8.7%22512.242518%12.648989%12.242518%12.2%31529.109988%28.017502%29.109988%29.1%74934.706568%30.893558%34.706568%34.7%8938.122814%8.541415%8.122814%8.1%2092.953750%3.143859%2.953750%3.0%760.893898%1.244719%0.893898%0.9%23
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Lewis County at large.
Scope: population of Lewis County and Toledo-Vader
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.373%0.37%-92.058632%-92.058632%-92.1%0.078%0.08%0.979%0.98%-29.568105%-29.568105%-29.6%3.148%3.15%4.470%4.47%-9.737854%-9.737854%-9.7%8.745%8.74%9.688%9.69%-3.213464%-3.213464%-3.2%12.243%12.2%12.649%12.6%3.899301%3.899301%+3.9%29.110%29.1%28.018%28.0%12.342413%12.342413%+12.3%34.707%34.7%30.894%30.9%-4.900843%-4.900843%-4.9%8.123%8.12%8.541%8.54%-6.046991%-6.046991%-6.0%2.954%2.95%3.144%3.14%-28.184763%-28.184763%-28.2%0.894%0.89%1.245%1.24%
% percentage with given level in Toledo-Vader
ref. percentage with given level in Lewis County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Lewis County and Toledo-Vader
More Females More Males
Lewis County
Toledo-Vader
0%20%40%60%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.339020%-11.282228%-12.339020%12%25.561%25.6%22.753%22.8%-4.528954%-0.499443%-4.528954%5%65.172%65.2%62.348%62.3%60.762701%29.153382%60.762701%61%9.268%9.27%14.899%14.9%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Lewis County and Toledo-Vader
More Females More Males
Lewis County
Toledo-Vader
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%18.818354%1,000.000000%> 1000%0.000%0%0.162%0.16%1,000.000000%23.568487%1,000.000000%> 1000%0.523%0.52%5.992%5.99%-113.108898%-17.709495%-113.108898%113%11.734%11.7%5.506%5.51%-19.925152%-25.013452%-19.925152%20%13.303%13.3%11.093%11.1%-34.367419%-18.133290%-34.367419%34%33.184%33.2%24.696%24.7%17.705929%15.153468%17.705929%18%31.988%32.0%37.652%37.7%54.951511%17.330153%54.951511%55%6.428%6.43%9.960%9.96%57.267859%61.192155%57.267859%57%2.317%2.32%3.644%3.64%147.634471%44.424632%147.634471%148%0.523%0.52%1.296%1.30%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Lewis County and Toledo-Vader
Toledo-Vader
Lewis County
0%2%4%6%8%10%B.X.Total65+45-6435-4425-347.563025%9.993939%7.563025%7.6%6383311.223458%9.738289%11.223458%11.2%1119894.291845%7.921726%4.291845%4.3%2046610.877193%10.779070%10.877193%10.9%31285
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Lewis County at large.
Scope: population of Lewis County and Toledo-Vader
40%30%20%10%0%10%%ref.65+45-6435-4425-34-24.323880%-24.323880%24.3%7.563%7.56%9.994%9.99%15.250816%15.250816%15.3%11.223%11.2%9.738%9.74%-45.821837%-45.821837%45.8%4.292%4.29%7.922%7.92%0.910312%0.910312%0.9%10.877%10.9%10.779%10.8%
% percentage in Toledo-Vader with a Bachelor's degree
ref percentage in Lewis County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Lewis County and Toledo-Vader
More Females More Males
Lewis County
Toledo-Vader
500%0%500%1,000%FM65+45-6435-4425-34-698.081535%-698.081535%698.1%32.234955%13.429%13.4%1.683%1.68%-250.577731%-11.236254%-250.577731%250.6%16.544%16.5%4.719%4.72%-12.162780%-58.746750%-12.162780%12.2%4.527%4.53%4.036%4.04%-126.903624%1,000.000000%1,000.000000%> 1000%0.000%0%20.530%20.5%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Lewis County and Toledo-Vader
Toledo-Vader
Lewis County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$70,893.000000$56,034.000000$70,893.000000$70.9k833.226%3.23%$45,764.000000$36,765.000000$45,764.000000$45.8k2258.745%8.74%$31,923.000000$31,081.000000$31,923.000000$31.9k1,06441.353%41.4%$29,113.000000$29,114.000000$29,113.000000$29.1k89334.707%34.7%$30,906.000000$31,180.000000$30,906.000000$30.9k2,573100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Lewis County and Toledo-Vader
Female Male
Lewis County
Toledo-Vader
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeH.S. Diploma2Total$-25,300.000000$-22,110.000000$-25,300.000000$25.3k$25,300.000000$16,754.000000$22,110.000000$18,241.000000$42,054.000000$42.1k622442$-17,333.000000$-23,811.000000$-17,333.000000$17.3k$17,333.000000$22,111.000000$23,811.000000$8,228.000000$39,444.000000$39.4k428465$-25,481.000000$-24,821.000000$-25,481.000000$25.5k$25,481.000000$16,424.000000$24,821.000000$12,717.000000$41,905.000000$41.9k1,3381,235
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Lewis County and Toledo-Vader
Toledo-Vader
Lewis County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.173077%76.386467%83.173077%83.2%17368.187919%67.802238%68.187919%68.2%50865.930599%57.044258%65.930599%65.9%41835.294118%50.087184%35.294118%35.3%54
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Lewis County and Toledo-Vader
Female Male
Lewis County
Toledo-Vader
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1Hispanic2Other1-7.413376%-10.072866%-7.413376%7.4%7.413376%4.314466%10.072866%0.960325%11.727842%11.7%13192-43.750000%-31.275720%-43.750000%43.8%43.750000%12.771739%31.275720%20.553881%56.521739%56.5%3921-26.190476%-11.675933%-26.190476%26.2%26.190476%0.928168%11.675933%19.424149%27.118644%27.1%1611
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Lewis County and Toledo-Vader
Female Male
Lewis County
Toledo-Vader
Shaded bar tips show excess over facing bar.
10%0%10%20%MFWhite1Hispanic2Other1-11.459266%-0.869501%-15.699263%-12.328767%12.3%11.459266%15.699263%0.460681%11.459266%11.5%128153-0.000000%-18.750000%-4.096122%-11.061628%-18.750000%18.8%0.000000%4.096122%0.000000%0.0%09-4.761905%-15.409055%-4.761905%4.8%4.761905%22.356739%15.409055%0.719977%27.118644%27.1%162
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Centralia Area

There are 12 county subdivisions in the Centralia Area. This section compares Toledo-Vader to all of the county subdivisions in the Centralia Area and to those entities that contain or substantially overlap with Toledo-Vader.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Toledo-Vader, selected other county subdivisions in the Centralia Area, and entities that contain Toledo-Vader
0%5%10%15%20%Count#MortonPacificCentralia-ChehalisWestMossyrockBig BottomUnited States of AmericaUnited StatesCentralia Metro AreaCentraliaLewis CountyLewisMineralNapavineNewaukum Prairie971600Tract 971600Toledo-VaderEthelLogan HillWashingtonWinlock-Pe EllBunker20.809524%20.809524%20.8%437115.692232%15.692232%15.7%5,422,9325.42M15.549763%15.549763%15.5%3,281214.435746%14.435746%14.4%7,178,2187.18M14.116653%14.116653%14.1%501313.120567%13.120567%13.1%296413.020590%13.020590%13.0%27,818,38027.8M12.929994%12.929994%12.9%6,85612.929994%12.929994%12.9%6,85612.496272%12.496272%12.5%419512.257583%12.257583%12.3%493612.106538%12.106538%12.1%250711.970462%11.970462%12.0%30811.970462%11.970462%12.0%308810.146295%10.146295%10.1%21599.692934%9.692934%9.7%262109.418712%9.418712%9.4%452,496452k6.447587%6.447587%6.4%310113.535354%3.535354%3.5%8412
Count number of people in category
# rank of county subdivision out of 12 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Toledo-Vader, selected other county subdivisions in the Centralia Area, and entities that contain Toledo-Vader
0%10%20%30%Count#WashingtonPacificWestUnited States of AmericaUnited StatesNewaukum PrairieBig BottomLogan HillCentralia-ChehalisBunkerCentralia Metro AreaCentraliaLewis CountyLewisWinlock-Pe EllMossyrockMineral971600Tract 971600Toledo-VaderEthelNapavineMorton33.557116%33.557116%33.6%1,612,1591.61M32.107540%32.107540%32.1%11,095,74511.1M31.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M22.469734%22.469734%22.5%464120.567376%20.567376%20.6%464218.534961%18.534961%18.5%501317.563981%17.563981%17.6%3,706416.540404%16.540404%16.5%393515.509958%15.509958%15.5%8,22415.509958%15.509958%15.5%8,22414.288686%14.288686%14.3%687613.412229%13.412229%13.4%476712.943633%12.943633%12.9%434811.970462%11.970462%12.0%30811.970462%11.970462%12.0%308911.562058%11.562058%11.6%245109.149677%9.149677%9.1%368118.476190%8.476190%8.5%17812
Count number of people in category
# rank of county subdivision out of 12 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Toledo-Vader, selected other county subdivisions in the Centralia Area, and entities that contain Toledo-Vader
0%1%2%3%4%Count#Big BottomPacificWestWashingtonUnited States of AmericaUnited StatesNewaukum PrairieCentralia-ChehalisEthelCentralia Metro AreaCentraliaLewis CountyLewisLogan HillMineralMortonMossyrockBunkerWinlock-Pe Ell971600Tract 971600Toledo-VaderNapavine4.432624%4.432624%4.4%10013.803905%3.803905%3.8%1,314,5561.31M3.594387%3.594387%3.6%1,787,3201.79M3.560013%3.560013%3.6%171,031171k3.336158%3.336158%3.3%7,127,6737.13M2.518160%2.518160%2.5%5221.909953%1.909953%1.9%40331.651723%1.651723%1.7%3541.352218%1.352218%1.4%7171.352218%1.352218%1.4%7171.331853%1.331853%1.3%3651.103489%1.103489%1.1%3760.761905%0.761905%0.8%1670.591716%0.591716%0.6%2180.294613%0.294613%0.3%790.145591%0.145591%0.1%7100.077730%0.077730%0.1%20.077730%0.077730%0.1%2110.024863%0.024863%0.0%112
Count number of people in category
# rank of county subdivision out of 12 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in the Centralia Area, and entities that contain Toledo-Vader
Female
Male
1x0x1x2x3xFM#EthelBig BottomLogan HillMossyrockTract 971600Toledo-VaderCentralia-ChehalisCentraliaLewisWashingtonUnited StatesNapavineWestPacificWinlock-Pe EllBunkerMineralNewaukum PrairieMorton-1.000000x-1.000000x3.699367x3.699367x3.70x4.396%4.40%16.261%16.3%1-1.000000x-1.000000x2.209249x2.209249x2.21x8.098%8.10%17.891%17.9%2-1.000000x-1.000000x2.140174x2.140174x2.14x6.027%6.03%12.899%12.9%3-1.000000x-1.000000x1.667659x1.667659x1.67x10.529%10.5%17.559%17.6%4-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%5-1.000000x-1.000000x1.349266x1.349266x1.35x13.281%13.3%17.920%17.9%6-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.088824x1.088824x1.09x11.765%11.8%12.810%12.8%7-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.013497x-1.013497x1.01x1.000000x1.000000x6.489%6.49%6.402%6.40%8-1.195548x-1.195548x1.20x1.000000x1.000000x3.840%3.84%3.212%3.21%9-1.206211x-1.206211x1.21x1.000000x1.000000x13.652%13.7%11.318%11.3%10-1.236591x-1.236591x1.24x1.000000x1.000000x13.321%13.3%10.772%10.8%11-1.547012x-1.547012x1.55x1.000000x1.000000x25.212%25.2%16.297%16.3%12
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 12 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in the Centralia Area, and entities that contain Toledo-Vader
Female
Male
10x5x0x5x10xFM#Tract 971600NapavineMossyrockToledo-VaderNewaukum PrairieMortonBig BottomEthelUnited StatesWashingtonWestWinlock-Pe EllPacificBunkerCentraliaLewisCentralia-ChehalisMineralLogan Hill-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.053%0.05%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.160%1.16%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%3-1.000000x-1.000000x6.042175x6.042175x6.04x0.740%0.74%4.472%4.47%4-1.000000x-1.000000x4.441980x4.441980x4.44x0.282%0.28%1.254%1.25%5-1.000000x-1.000000x2.114228x2.114228x2.11x2.821%2.82%5.964%5.96%6-1.000000x-1.000000x1.799416x1.799416x1.80x1.190%1.19%2.142%2.14%7-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.458769x1.458769x1.46x0.119%0.12%0.174%0.17%8-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.416667x1.416667x1.42x0.245%0.25%0.347%0.35%9-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.268892x1.268892x1.27x1.688%1.69%2.142%2.14%10-3.558585x-3.558585x3.56x1.000000x1.000000x1.714%1.71%0.482%0.48%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.855%2.85%0.000%0%12
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 12 by male-to-female sex ratio

Educational Attainment by County Subdivision in Washington

There are 242 county subdivisions in Washington. This section compares Toledo-Vader to the 50 most populous county subdivisions in Washington and to those entities that contain or substantially overlap with Toledo-Vader. The least populous of the compared county subdivisions has a population of 27,518.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Toledo-Vader, selected other county subdivisions in Washington, and entities that contain Toledo-Vader
0%10%20%30%40%Count#Toppenish-WapatoSunnysidePascoYakimaMount VernonWenatcheeEast WenatcheeE WenatcheeMoses LakePacificCentralia-ChehalisWestLongview-KelsoUnited States of AmericaUnited StatesCentralia Metro AreaCentraliaLewis CountyLewisAberdeen-HoquiamFederal Way-AuburnFederal Wy-Auburn971600Tract 971600Toledo-VaderEverettWalla Walla-College PlaceWalla Walla-Colle…TacomaMonroeFerndaleMarysvilleOrchardsWashingtonVancouverRichland-KennewickSeattleEnumclaw PlateauPort AngelesPort OrchardThurston SouthThurston SArlingtonOlympia EastSpokaneGraham-ThriftSnohomishPuyallupBellinghamBattle GroundNorth Whidbey IslandN Whidbey IsEdmondsCamasStanwoodOlympiaDeer ParkTahoma-Maple ValleyTahoma-Maple VlyBremertonSnoqualmie ValleySnoqualmie VlyPoulsboSeattle EastMaltbyGig Harbor PeninsulaGig Hbr PeninsulaPullmanIssaquah PlateauFort Lewis-DuPont40.874651%40.874651%40.9%6,150139.118186%39.118186%39.1%11,52511.5k229.665520%29.665520%29.7%9,827322.648868%22.648868%22.6%20,32620.3k418.016593%18.016593%18.0%4,213517.696867%17.696867%17.7%4,598617.331567%17.331567%17.3%3,532715.816993%15.816993%15.8%3,267815.692232%15.692232%15.7%5,422,9325.42M15.549763%15.549763%15.5%3,281914.435746%14.435746%14.4%7,178,2187.18M13.522340%13.522340%13.5%5,8381013.020590%13.020590%13.0%27,818,38027.8M12.929994%12.929994%12.9%6,85612.929994%12.929994%12.9%6,85612.768225%12.768225%12.8%2,7551111.985242%11.985242%12.0%13,87113.9k1211.970462%11.970462%12.0%30811.970462%11.970462%12.0%30811.154548%11.154548%11.2%13,63913.6k1311.149697%11.149697%11.1%3,6281411.000536%11.000536%11.0%32,63132.6k1510.907605%10.907605%10.9%2,2691610.750488%10.750488%10.8%2,3121710.339873%10.339873%10.3%4,9651810.269333%10.269333%10.3%4,442199.418712%9.418712%9.4%452,496452k8.974827%8.974827%9.0%14,26814.3k208.938532%8.938532%8.9%9,551218.833573%8.833573%8.8%66,22066.2k228.433407%8.433407%8.4%3,715238.307055%8.307055%8.3%1,844248.137640%8.137640%8.1%3,746257.998428%7.998428%8.0%2,239267.934842%7.934842%7.9%1,588277.415014%7.415014%7.4%1,697287.396756%7.396756%7.4%18,08118.1k297.175163%7.175163%7.2%3,855307.112922%7.112922%7.1%1,833316.703700%6.703700%6.7%7,277326.703137%6.703137%6.7%4,840336.667016%6.667016%6.7%2,547346.351464%6.351464%6.4%1,518356.286458%6.286458%6.3%11,11111.1k366.283099%6.283099%6.3%2,361376.168739%6.168739%6.2%1,523386.055092%6.055092%6.1%7,188395.997422%5.997422%6.0%1,303405.805896%5.805896%5.8%2,698415.589134%5.589134%5.6%4,189425.019038%5.019038%5.0%1,740434.987993%4.987993%5.0%1,454444.913852%4.913852%4.9%20,32620.3k454.538855%4.538855%4.5%1,563463.416040%3.416040%3.4%1,268472.984406%2.984406%3.0%400482.917621%2.917621%2.9%1,541491.968771%1.968771%2.0%26150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Toledo-Vader, selected other county subdivisions in Washington, and entities that contain Toledo-Vader
0%20%40%60%Count#Issaquah PlateauPullmanSeattle EastSeattleSnoqualmie ValleySnoqualmie VlyMaltbyGig Harbor PeninsulaGig Hbr PeninsulaEdmondsBellinghamOlympiaCamasPoulsboWashingtonTahoma-Maple ValleyTahoma-Maple VlyPacificFort Lewis-DuPontWestRichland-KennewickDeer ParkUnited States of AmericaUnited StatesWalla Walla-College PlaceWalla Walla-Colle…VancouverBattle GroundEnumclaw PlateauSpokanePuyallupWenatcheeSnohomishBremertonFerndaleEverettNorth Whidbey IslandN Whidbey IsMonroeTacomaOlympia EastPort OrchardFederal Way-AuburnFederal Wy-AuburnMount VernonStanwoodPort AngelesGraham-ThriftOrchardsEast WenatcheeE WenatcheeMarysvilleYakimaArlingtonCentralia-ChehalisThurston SouthThurston SMoses LakeCentralia Metro AreaCentraliaLewis CountyLewisAberdeen-HoquiamPascoLongview-Kelso971600Tract 971600Toledo-VaderSunnysideToppenish-Wapato65.058599%65.058599%65.1%34,36234.4k164.388570%64.388570%64.4%8,630257.691220%57.691220%57.7%238,638239k349.626221%49.626221%49.6%372,018372k445.826122%45.826122%45.8%15,88715.9k545.556975%45.556975%45.6%15,68815.7k644.308845%44.308845%44.3%16,44716.4k740.744576%40.744576%40.7%72,01472.0k839.862890%39.862890%39.9%28,78328.8k938.575520%38.575520%38.6%45,79345.8k1033.879767%33.879767%33.9%12,73112.7k1133.876501%33.876501%33.9%9,8751233.557116%33.557116%33.6%1,612,1591.61M32.466107%32.466107%32.5%15,08715.1k1332.107540%32.107540%32.1%11,095,74511.1M31.998190%31.998190%32.0%4,2421431.501368%31.501368%31.5%15,664,15015.7M31.041066%31.041066%31.0%33,16833.2k1530.797202%30.797202%30.8%6,6911630.315023%30.315023%30.3%64,767,78764.8M29.426227%29.426227%29.4%9,5751729.271975%29.271975%29.3%46,53646.5k1828.379970%28.379970%28.4%10,84210.8k1928.344419%28.344419%28.3%12,48612.5k2027.883982%27.883982%27.9%68,16168.2k2126.327474%26.327474%26.3%28,57928.6k2225.991071%25.991071%26.0%6,7532325.875049%25.875049%25.9%6,6682425.732165%25.732165%25.7%19,28619.3k2525.499861%25.499861%25.5%5,4842625.399720%25.399720%25.4%31,05731.1k2725.020921%25.020921%25.0%5,9802824.963946%24.963946%25.0%5,1932924.260108%24.260108%24.3%71,96372.0k3023.940400%23.940400%23.9%5,4793123.222471%23.222471%23.2%10,69010.7k3222.378039%22.378039%22.4%25,89925.9k3322.151899%22.151899%22.2%5,1803421.787031%21.787031%21.8%5,3793521.551491%21.551491%21.6%4,7843620.648836%20.648836%20.6%11,09411.1k3719.637036%19.637036%19.6%8,4943819.191324%19.191324%19.2%3,9113919.107418%19.107418%19.1%9,1754018.598458%18.598458%18.6%16,69116.7k4118.273122%18.273122%18.3%3,6574217.563981%17.563981%17.6%3,7064317.168578%17.168578%17.2%4,8064417.061244%17.061244%17.1%3,5244515.509958%15.509958%15.5%8,22415.509958%15.509958%15.5%8,22415.155026%15.155026%15.2%3,2704614.976152%14.976152%15.0%4,9614714.851875%14.851875%14.9%6,4124811.970462%11.970462%12.0%30811.970462%11.970462%12.0%30810.182608%10.182608%10.2%3,000498.108467%8.108467%8.1%1,22050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Toledo-Vader, selected other county subdivisions in Washington, and entities that contain Toledo-Vader
0%5%10%15%Count#PullmanGig Harbor PeninsulaGig Hbr PeninsulaSeattleSeattle EastIssaquah PlateauBellinghamOlympiaPacificWestRichland-KennewickMaltbyWashingtonEdmondsWenatcheeUnited States of AmericaUnited StatesFort Lewis-DuPontDeer ParkWalla Walla-College PlaceWalla Walla-Colle…SpokanePoulsboVancouverCamasSnoqualmie ValleySnoqualmie VlyFerndalePort AngelesYakimaBattle GroundTacomaEnumclaw PlateauSnohomishPuyallupEverettBremertonCentralia-ChehalisTahoma-Maple ValleyTahoma-Maple VlyMount VernonMonroePort OrchardEast WenatcheeE WenatcheeNorth Whidbey IslandN Whidbey IsStanwoodAberdeen-HoquiamFederal Way-AuburnFederal Wy-AuburnOlympia EastOrchardsMoses LakeLongview-KelsoCentralia Metro AreaCentraliaLewis CountyLewisGraham-ThriftMarysvillePascoArlingtonThurston SouthThurston SToppenish-WapatoSunnyside971600Tract 971600Toledo-Vader15.690517%15.690517%15.7%2,10316.832081%6.832081%6.8%2,53626.641855%6.641855%6.6%49,79049.8k36.036065%6.036065%6.0%24,96825.0k45.975349%5.975349%6.0%3,15654.667267%4.667267%4.7%3,37064.546374%4.546374%4.5%5,39773.803905%3.803905%3.8%1,314,5561.31M3.594387%3.594387%3.6%1,787,3201.79M3.590948%3.590948%3.6%3,83783.560228%3.560228%3.6%1,22693.560013%3.560013%3.6%171,031171k3.532207%3.532207%3.5%6,243103.348472%3.348472%3.3%870113.336158%3.336158%3.3%7,127,6737.13M3.228483%3.228483%3.2%428123.185124%3.185124%3.2%692133.140846%3.140846%3.1%1,022143.130766%3.130766%3.1%7,653152.994854%2.994854%3.0%873162.846935%2.846935%2.8%4,526172.815552%2.815552%2.8%1,058182.737395%2.737395%2.7%949192.599275%2.599275%2.6%559202.590323%2.590323%2.6%575212.514931%2.514931%2.5%2,257222.421276%2.421276%2.4%925232.380061%2.380061%2.4%7,060242.251935%2.251935%2.3%992252.204113%2.204113%2.2%568261.976933%1.976933%2.0%2,146271.924382%1.924382%1.9%2,353281.914635%1.914635%1.9%1,435291.909953%1.909953%1.9%403301.844201%1.844201%1.8%857311.813206%1.813206%1.8%424321.793097%1.793097%1.8%373331.781331%1.781331%1.8%820341.751803%1.751803%1.8%357351.640167%1.640167%1.6%392361.591802%1.591802%1.6%393371.580387%1.580387%1.6%341381.490487%1.490487%1.5%1,725391.485624%1.485624%1.5%340401.454167%1.454167%1.5%629411.408860%1.408860%1.4%291421.352697%1.352697%1.4%584431.352218%1.352218%1.4%7171.352218%1.352218%1.4%7171.261935%1.261935%1.3%678441.120413%1.120413%1.1%538451.086760%1.086760%1.1%360460.999350%0.999350%1.0%200470.939521%0.939521%0.9%263480.830786%0.830786%0.8%125490.604168%0.604168%0.6%178500.077730%0.077730%0.1%20.077730%0.077730%0.1%2
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in Washington, and entities that contain Toledo-Vader
Female
Male
1x0x1xFM#ArlingtonTract 971600Toledo-VaderEnumclaw PlateauSnoqualmie VlyWenatcheeCentralia-ChehalisThurston SStanwoodBattle GroundCamasCentraliaLewisWalla Walla-College PlWalla Walla-Colle…MonroeYakimaSnohomishLongview-KelsoE WenatcheeVancouverMount VernonMaltbyPascoMoses LakeOrchardsPoulsboGraham-ThriftDeer ParkPullmanFederal Wy-AuburnToppenish-WapatoWashingtonMarysvilleUnited StatesSpokaneBellinghamTahoma-Maple VlyAberdeen-HoquiamPort AngelesTacomaWestEdmondsPacificSunnysideIssaquah PlateauOlympiaRichland-KennewickFerndalePuyallupEverettSeattleSeattle EastPort OrchardGig Hbr PeninsulaBremertonN Whidbey IsOlympia EastFort Lewis-DuPont-1.000000x-1.000000x1.781084x1.781084x1.78x5.776%5.78%10.288%10.3%1-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%-1.000000x-1.000000x1.545532x1.545532x1.55x6.637%6.64%10.258%10.3%2-1.000000x-1.000000x1.489936x1.489936x1.49x4.040%4.04%6.020%6.02%3-1.000000x-1.000000x1.370116x1.370116x1.37x15.008%15.0%20.563%20.6%4-1.000000x-1.000000x1.349266x1.349266x1.35x13.281%13.3%17.920%17.9%5-1.000000x-1.000000x1.347041x1.347041x1.35x6.856%6.86%9.236%9.24%6-1.000000x-1.000000x1.329659x1.329659x1.33x5.275%5.27%7.014%7.01%7-1.000000x-1.000000x1.320079x1.320079x1.32x5.761%5.76%7.605%7.61%8-1.000000x-1.000000x1.303492x1.303492x1.30x5.480%5.48%7.143%7.14%9-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.283517x1.283517x1.28x9.734%9.73%12.493%12.5%10-1.000000x-1.000000x1.281259x1.281259x1.28x9.412%9.41%12.060%12.1%11-1.000000x-1.000000x1.275704x1.275704x1.28x19.989%20.0%25.500%25.5%12-1.000000x-1.000000x1.262425x1.262425x1.26x6.301%6.30%7.955%7.96%13-1.000000x-1.000000x1.251408x1.251408x1.25x12.060%12.1%15.092%15.1%14-1.000000x-1.000000x1.249402x1.249402x1.25x15.446%15.4%19.298%19.3%15-1.000000x-1.000000x1.234222x1.234222x1.23x8.059%8.06%9.947%9.95%16-1.000000x-1.000000x1.227625x1.227625x1.23x16.238%16.2%19.934%19.9%17-1.000000x-1.000000x1.175751x1.175751x1.18x4.179%4.18%4.913%4.91%18-1.000000x-1.000000x1.163104x1.163104x1.16x27.399%27.4%31.867%31.9%19-1.000000x-1.000000x1.162197x1.162197x1.16x14.679%14.7%17.060%17.1%20-1.000000x-1.000000x1.161885x1.161885x1.16x9.536%9.54%11.079%11.1%21-1.000000x-1.000000x1.157769x1.157769x1.16x4.626%4.63%5.356%5.36%22-1.000000x-1.000000x1.155726x1.155726x1.16x6.670%6.67%7.708%7.71%23-1.000000x-1.000000x1.154823x1.154823x1.15x5.584%5.58%6.449%6.45%24-1.000000x-1.000000x1.140066x1.140066x1.14x2.785%2.78%3.175%3.17%25-1.000000x-1.000000x1.122783x1.122783x1.12x11.316%11.3%12.706%12.7%26-1.000000x-1.000000x1.115163x1.115163x1.12x38.665%38.7%43.117%43.1%27-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-1.000000x-1.000000x1.109656x1.109656x1.11x9.816%9.82%10.893%10.9%28-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107157x1.107157x1.11x7.034%7.03%7.788%7.79%29-1.000000x-1.000000x1.084076x1.084076x1.08x6.436%6.44%6.977%6.98%30-1.000000x-1.000000x1.078023x1.078023x1.08x5.593%5.59%6.029%6.03%31-1.000000x-1.000000x1.073306x1.073306x1.07x12.327%12.3%13.230%13.2%32-1.000000x-1.000000x1.071170x1.071170x1.07x8.027%8.03%8.598%8.60%33-1.000000x-1.000000x1.069526x1.069526x1.07x10.642%10.6%11.382%11.4%34-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.047689x1.047689x1.05x6.146%6.15%6.439%6.44%35-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.014472x1.014472x1.01x38.834%38.8%39.396%39.4%36-1.000000x-1.000000x1.005405x1.005405x1.01x2.910%2.91%2.926%2.93%37-1.000000x-1.000000x1.003616x1.003616x1.00x6.045%6.04%6.067%6.07%38-1.000000x-1.000000x1.000039x1.000039x1.00x8.938%8.94%8.939%8.94%39-1.000681x-1.000681x1.00x1.000000x1.000000x10.754%10.8%10.747%10.7%40-1.035336x-1.035336x1.04x1.000000x1.000000x6.818%6.82%6.585%6.59%41-1.048597x-1.048597x1.05x1.000000x1.000000x11.422%11.4%10.892%10.9%42-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%43-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%44-1.123309x-1.123309x1.12x1.000000x1.000000x8.606%8.61%7.662%7.66%45-1.267373x-1.267373x1.27x1.000000x1.000000x3.786%3.79%2.988%2.99%46-1.372172x-1.372172x1.37x1.000000x1.000000x6.473%6.47%4.717%4.72%47-1.488096x-1.488096x1.49x1.000000x1.000000x7.556%7.56%5.078%5.08%48-1.674737x-1.674737x1.67x1.000000x1.000000x9.296%9.30%5.551%5.55%49-1.705501x-1.705501x1.71x1.000000x1.000000x2.506%2.51%1.470%1.47%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in Washington, and entities that contain Toledo-Vader
Female
Male
0x5x10xFM#Tract 971600Toledo-VaderPascoRichland-KennewickGig Hbr PeninsulaBremertonE WenatcheeBattle GroundDeer ParkArlingtonLongview-KelsoStanwoodMarysvilleFerndaleThurston SWalla Walla-College PlWalla Walla-Colle…OrchardsMoses LakeFederal Wy-AuburnYakimaVancouverSpokaneEnumclaw PlateauOlympia EastPort AngelesPoulsboCamasEdmondsMount VernonOlympiaSeattle EastBellinghamUnited StatesWashingtonPullmanWestGraham-ThriftIssaquah PlateauToppenish-WapatoPacificEverettSunnysideCentraliaLewisTacomaMaltbyPuyallupWenatcheeCentralia-ChehalisSeattleN Whidbey IsPort OrchardSnoqualmie VlyMonroeSnohomishTahoma-Maple VlyAberdeen-HoquiamFort Lewis-DuPont-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%-1.000000x-1.000000x3.754006x3.754006x3.75x0.453%0.45%1.702%1.70%1-1.000000x-1.000000x3.277567x3.277567x3.28x1.695%1.69%5.554%5.55%2-1.000000x-1.000000x2.353675x2.353675x2.35x4.198%4.20%9.881%9.88%3-1.000000x-1.000000x2.289948x2.289948x2.29x1.161%1.16%2.658%2.66%4-1.000000x-1.000000x2.252158x2.252158x2.25x1.086%1.09%2.446%2.45%5-1.000000x-1.000000x2.246026x2.246026x2.25x1.502%1.50%3.374%3.37%6-1.000000x-1.000000x2.234968x2.234968x2.23x2.002%2.00%4.475%4.48%7-1.000000x-1.000000x2.070083x2.070083x2.07x0.661%0.66%1.368%1.37%8-1.000000x-1.000000x2.029202x2.029202x2.03x0.904%0.90%1.834%1.83%9-1.000000x-1.000000x2.027583x2.027583x2.03x1.042%1.04%2.112%2.11%10-1.000000x-1.000000x1.998461x1.998461x2.00x0.754%0.75%1.507%1.51%11-1.000000x-1.000000x1.995680x1.995680x2.00x1.773%1.77%3.539%3.54%12-1.000000x-1.000000x1.980185x1.980185x1.98x0.639%0.64%1.265%1.27%13-1.000000x-1.000000x1.971889x1.971889x1.97x2.096%2.10%4.132%4.13%14-1.000000x-1.000000x1.875884x1.875884x1.88x1.027%1.03%1.926%1.93%15-1.000000x-1.000000x1.851169x1.851169x1.85x1.001%1.00%1.854%1.85%16-1.000000x-1.000000x1.825770x1.825770x1.83x1.066%1.07%1.947%1.95%17-1.000000x-1.000000x1.747525x1.747525x1.75x1.848%1.85%3.230%3.23%18-1.000000x-1.000000x1.739579x1.739579x1.74x2.095%2.10%3.645%3.65%19-1.000000x-1.000000x1.721484x1.721484x1.72x2.324%2.32%4.001%4.00%20-1.000000x-1.000000x1.707001x1.707001x1.71x1.667%1.67%2.846%2.85%21-1.000000x-1.000000x1.704736x1.704736x1.70x1.097%1.10%1.871%1.87%22-1.000000x-1.000000x1.692842x1.692842x1.69x1.934%1.93%3.274%3.27%23-1.000000x-1.000000x1.690101x1.690101x1.69x2.231%2.23%3.771%3.77%24-1.000000x-1.000000x1.672872x1.672872x1.67x2.125%2.13%3.555%3.56%25-1.000000x-1.000000x1.584767x1.584767x1.58x2.758%2.76%4.370%4.37%26-1.000000x-1.000000x1.564337x1.564337x1.56x1.426%1.43%2.231%2.23%27-1.000000x-1.000000x1.562250x1.562250x1.56x3.598%3.60%5.621%5.62%28-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%29-1.000000x-1.000000x1.552522x1.552522x1.55x3.667%3.67%5.693%5.69%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-1.000000x-1.000000x1.480318x1.480318x1.48x12.592%12.6%18.640%18.6%31-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.462594x1.462594x1.46x1.030%1.03%1.506%1.51%32-1.000000x-1.000000x1.452201x1.452201x1.45x4.916%4.92%7.140%7.14%33-1.000000x-1.000000x1.424524x1.424524x1.42x0.686%0.69%0.978%0.98%34-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.410237x1.410237x1.41x1.594%1.59%2.248%2.25%35-1.000000x-1.000000x1.405728x1.405728x1.41x0.501%0.50%0.705%0.70%36-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.360981x1.360981x1.36x2.026%2.03%2.757%2.76%37-1.000000x-1.000000x1.309416x1.309416x1.31x3.092%3.09%4.048%4.05%38-1.000000x-1.000000x1.303985x1.303985x1.30x1.720%1.72%2.243%2.24%39-1.000000x-1.000000x1.275968x1.275968x1.28x2.954%2.95%3.769%3.77%40-1.000000x-1.000000x1.268892x1.268892x1.27x1.688%1.69%2.142%2.14%41-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%42-1.000000x-1.000000x1.135270x1.135270x1.14x1.539%1.54%1.747%1.75%43-1.000000x-1.000000x1.035374x1.035374x1.04x1.751%1.75%1.813%1.81%44-1.000000x-1.000000x1.007196x1.007196x1.01x2.728%2.73%2.747%2.75%45-1.000000x-1.000000x1.003400x1.003400x1.00x1.790%1.79%1.796%1.80%46-1.033912x-1.033912x1.03x1.000000x1.000000x2.240%2.24%2.167%2.17%47-1.068016x-1.068016x1.07x1.000000x1.000000x1.903%1.90%1.782%1.78%48-1.093921x-1.093921x1.09x1.000000x1.000000x1.650%1.65%1.508%1.51%49-1.274340x-1.274340x1.27x1.000000x1.000000x3.634%3.63%2.852%2.85%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the West

There are 1,950 county subdivisions in the West. This section compares Toledo-Vader to the 50 most populous county subdivisions in the West and to those entities that contain or substantially overlap with Toledo-Vader. The least populous of the compared county subdivisions has a population of 323,012.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Toledo-Vader, selected other county subdivisions in the West, and entities that contain Toledo-Vader
0%20%40%Count#South Gate-East Los AngelesS Gate-E Los Ang…ComptonSan BernardinoStocktonInglewoodBakersfieldLos AngelesSouthwest San Gabriel ValleySW San Gabriel VlyUpper San Gabriel ValleyUpper San Gabriel …ModestoDowney-NorwalkAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…RiversideFresnoWhittierEast San Gabriel ValleyE San Gabriel VlyVictorville-HesperiaLong Beach-LakewoodLong Bch-LakewoodSan Fernando ValleySan Fernando VlyOaklandOntarioHaywardOceanside-EscondidoOceanside-Escond…Las VegasPacificPhoenixWestSacramentoDenverUnited States of AmericaUnited StatesSan DiegoCentralia Metro AreaCentraliaLewis CountyLewisSan JoseSan FranciscoTucsonAlbuquerqueNorth Coast971600Tract 971600Toledo-VaderSan MateoTacomaHonoluluSalt Lake CitySalt Lk CityPortland EastSouth AuroraWashingtonBeaverton-HillsboroSeattleFremontEwaSpokaneColorado SpringsColorado SpgsNortheast JeffersonNE JeffersonChandlerCentral Contra CostaCntrl Contra CostaBoise CitySeattle East52.521141%52.521141%52.5%154,211154k133.334421%33.334421%33.3%71,48171.5k227.582802%27.582802%27.6%135,754136k327.142938%27.142938%27.1%57,77757.8k426.248643%26.248643%26.2%63,37063.4k525.591430%25.591430%25.6%61,56361.6k624.837401%24.837401%24.8%434,160434k724.185288%24.185288%24.2%56,33656.3k823.998390%23.998390%24.0%54,26954.3k923.866595%23.866595%23.9%48,03248.0k1023.847630%23.847630%23.8%63,98264.0k1122.645542%22.645542%22.6%248,699249k1222.396849%22.396849%22.4%63,74363.7k1322.107626%22.107626%22.1%92,47292.5k1420.828315%20.828315%20.8%44,44244.4k1520.461493%20.461493%20.5%128,038128k1620.257687%20.257687%20.3%46,27246.3k1719.402518%19.402518%19.4%73,10573.1k1819.344408%19.344408%19.3%244,983245k1918.555588%18.555588%18.6%57,39857.4k2017.129346%17.129346%17.1%71,39771.4k2116.791963%16.791963%16.8%44,62844.6k2215.999398%15.999398%16.0%70,21470.2k2315.906523%15.906523%15.9%198,651199k2415.692232%15.692232%15.7%5,422,9325.42M14.952077%14.952077%15.0%308,569309k2514.435746%14.435746%14.4%7,178,2187.18M13.900512%13.900512%13.9%103,047103k2613.638703%13.638703%13.6%63,86563.9k2713.020590%13.020590%13.0%27,818,38027.8M12.985760%12.985760%13.0%206,792207k2812.929994%12.929994%12.9%6,85612.929994%12.929994%12.9%6,85612.789590%12.789590%12.8%153,604154k2912.559735%12.559735%12.6%84,02484.0k3012.262851%12.262851%12.3%70,40970.4k3112.089143%12.089143%12.1%52,21752.2k3211.992279%11.992279%12.0%32,74032.7k3311.970462%11.970462%12.0%30811.970462%11.970462%12.0%30811.285751%11.285751%11.3%31,77331.8k3411.000536%11.000536%11.0%32,63132.6k3510.577372%10.577372%10.6%31,05431.1k3610.435356%10.435356%10.4%64,29464.3k379.824058%9.824058%9.8%35,02135.0k389.432887%9.432887%9.4%23,65923.7k399.418712%9.418712%9.4%452,496452k8.961579%8.961579%9.0%26,16126.2k408.833573%8.833573%8.8%66,22066.2k418.413833%8.413833%8.4%20,30320.3k427.753369%7.753369%7.8%17,60117.6k437.396756%7.396756%7.4%18,08118.1k447.220995%7.220995%7.2%18,56218.6k456.409667%6.409667%6.4%21,33921.3k466.146108%6.146108%6.1%16,48316.5k475.736355%5.736355%5.7%20,12620.1k485.669587%5.669587%5.7%12,67312.7k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Toledo-Vader, selected other county subdivisions in the West, and entities that contain Toledo-Vader
0%20%40%Count#Seattle EastSan FranciscoSan MateoCentral Contra CostaCntrl Contra CostaSan JoseSeattleFremontDenverChandlerOaklandPortland EastBeaverton-HillsboroNortheast JeffersonNE JeffersonSan DiegoHonoluluNorth CoastBoise CityColorado SpringsColorado SpgsLos AngelesSouth AuroraWashingtonSan Fernando ValleySan Fernando VlySalt Lake CitySalt Lk CityAlbuquerquePacificTucsonWestOceanside-EscondidoOceanside-Escond…United States of AmericaUnited StatesUpper San Gabriel ValleyUpper San Gabriel …EwaLong Beach-LakewoodLong Bch-LakewoodPhoenixAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoHaywardSpokaneEast San Gabriel ValleyE San Gabriel VlyOntarioSouthwest San Gabriel ValleySW San Gabriel VlyTacomaFresnoDowney-NorwalkLas VegasRiversideWhittierInglewoodSan BernardinoStocktonCentralia Metro AreaCentraliaLewis CountyLewisModestoBakersfieldComptonVictorville-Hesperia971600Tract 971600Toledo-VaderSouth Gate-East Los AngelesS Gate-E Los Ang…57.691220%57.691220%57.7%238,638239k154.793235%54.793235%54.8%366,564367k253.281332%53.281332%53.3%150,004150k353.008408%53.008408%53.0%185,980186k449.985845%49.985845%50.0%600,334600k549.626221%49.626221%49.6%372,018372k647.196287%47.196287%47.2%113,887114k745.718966%45.718966%45.7%214,085214k842.582760%42.582760%42.6%114,201114k941.647432%41.647432%41.6%128,828129k1041.587794%41.587794%41.6%148,253148k1141.158658%41.158658%41.2%120,152120k1238.955422%38.955422%39.0%129,690130k1338.701072%38.701072%38.7%616,296616k1438.406071%38.406071%38.4%112,756113k1537.195111%37.195111%37.2%101,546102k1636.805114%36.805114%36.8%82,26982.3k1735.792201%35.792201%35.8%92,00692.0k1834.593243%34.593243%34.6%604,693605k1934.004880%34.004880%34.0%85,28985.3k2033.557116%33.557116%33.6%1,612,1591.61M33.231104%33.231104%33.2%420,848421k2133.118385%33.118385%33.1%204,048204k2232.636312%32.636312%32.6%140,967141k2332.107540%32.107540%32.1%11,095,74511.1M32.087814%32.087814%32.1%184,237184k2431.501368%31.501368%31.5%15,664,15015.7M31.198303%31.198303%31.2%136,915137k2530.315023%30.315023%30.3%64,767,78764.8M29.571143%29.571143%29.6%66,87166.9k2629.114008%29.114008%29.1%66,09266.1k2729.113198%29.113198%29.1%109,693110k2828.760152%28.760152%28.8%593,529594k2928.412939%28.412939%28.4%312,038312k3028.231204%28.231204%28.2%209,283209k3128.012191%28.012191%28.0%74,44874.4k3227.883982%27.883982%27.9%68,16168.2k3327.276345%27.276345%27.3%170,682171k3426.758411%26.758411%26.8%111,532112k3526.720759%26.720759%26.7%62,24262.2k3624.260108%24.260108%24.3%71,96372.0k3722.486319%22.486319%22.5%94,05694.1k3822.153227%22.153227%22.2%59,43659.4k3921.702666%21.702666%21.7%271,037271k4020.047996%20.047996%20.0%57,05857.1k4119.804286%19.804286%19.8%42,25742.3k4218.479260%18.479260%18.5%44,61344.6k4316.375473%16.375473%16.4%80,59580.6k4415.920643%15.920643%15.9%33,88933.9k4515.509958%15.509958%15.5%8,22415.509958%15.509958%15.5%8,22415.403574%15.403574%15.4%31,00031.0k4615.358267%15.358267%15.4%36,94636.9k4714.373519%14.373519%14.4%30,82230.8k4812.116874%12.116874%12.1%27,67727.7k4911.970462%11.970462%12.0%30811.970462%11.970462%12.0%3086.485660%6.485660%6.5%19,04319.0k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Toledo-Vader, selected other county subdivisions in the West, and entities that contain Toledo-Vader
0%2%4%6%8%Count#San MateoSan FranciscoCentral Contra CostaCntrl Contra CostaSeattleOaklandSan JoseSeattle EastDenverHonoluluSan DiegoLos AngelesAlbuquerqueTucsonFremontPortland EastBeaverton-HillsboroNorth CoastChandlerPacificSalt Lake CitySalt Lk CitySan Fernando ValleySan Fernando VlyWestBoise CityWashingtonOceanside-EscondidoOceanside-Escond…SacramentoUnited States of AmericaUnited StatesNortheast JeffersonNE JeffersonSpokaneColorado SpringsColorado SpgsUpper San Gabriel ValleyUpper San Gabriel …PhoenixLong Beach-LakewoodLong Bch-LakewoodFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…South AuroraRiversideHaywardEast San Gabriel ValleyE San Gabriel VlyTacomaOntarioSouthwest San Gabriel ValleySW San Gabriel VlyLas VegasEwaSan BernardinoStocktonWhittierDowney-NorwalkBakersfieldModestoCentralia Metro AreaCentraliaLewis CountyLewisInglewoodVictorville-HesperiaComptonSouth Gate-East Los AngelesS Gate-E Los Ang…971600Tract 971600Toledo-Vader9.616314%9.616314%9.6%27,07327.1k17.558053%7.558053%7.6%50,56350.6k26.945418%6.945418%6.9%24,36824.4k36.641855%6.641855%6.6%49,79049.8k46.599425%6.599425%6.6%20,41420.4k56.255912%6.255912%6.3%75,13475.1k66.036065%6.036065%6.0%24,96825.0k75.725842%5.725842%5.7%26,81226.8k85.702189%5.702189%5.7%16,74116.7k95.247128%5.247128%5.2%83,55883.6k104.659072%4.659072%4.7%81,44181.4k114.631274%4.631274%4.6%20,00420.0k124.461087%4.461087%4.5%25,61425.6k134.415988%4.415988%4.4%10,65610.7k144.373573%4.373573%4.4%15,59115.6k154.083597%4.083597%4.1%11,92111.9k163.968001%3.968001%4.0%10,83310.8k173.899532%3.899532%3.9%10,45810.5k183.803905%3.803905%3.8%1,314,5561.31M3.792624%3.792624%3.8%23,36723.4k193.601468%3.601468%3.6%45,61045.6k203.594387%3.594387%3.6%1,787,3201.79M3.570949%3.570949%3.6%7,982213.560013%3.560013%3.6%171,031171k3.466073%3.466073%3.5%15,21115.2k223.380196%3.380196%3.4%25,05825.1k233.336158%3.336158%3.3%7,127,6737.13M3.162331%3.162331%3.2%10,52810.5k243.130766%3.130766%3.1%7,653253.049141%3.049141%3.0%7,838263.048608%3.048608%3.0%6,894273.010825%3.010825%3.0%62,13562.1k283.009440%3.009440%3.0%11,33911.3k292.828959%2.828959%2.8%11,83311.8k302.763004%2.763004%2.8%30,34430.3k312.741872%2.741872%2.7%6,877322.540696%2.540696%2.5%7,231332.493133%2.493133%2.5%6,626342.484535%2.484535%2.5%15,54715.5k352.380061%2.380061%2.4%7,060362.324315%2.324315%2.3%9,688372.221221%2.221221%2.2%5,174382.155077%2.155077%2.2%26,91426.9k392.006070%2.006070%2.0%4,554401.807306%1.807306%1.8%8,895411.772510%1.772510%1.8%3,773421.747175%1.747175%1.7%3,728431.746958%1.746958%1.7%4,687441.727628%1.727628%1.7%4,156451.651661%1.651661%1.7%3,324461.352218%1.352218%1.4%7171.352218%1.352218%1.4%7171.267904%1.267904%1.3%3,061470.989418%0.989418%1.0%2,260480.804902%0.804902%0.8%1,726490.302435%0.302435%0.3%888500.077730%0.077730%0.1%20.077730%0.077730%0.1%2
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in the West, and entities that contain Toledo-Vader
Female
Male
1x0x1xFM#Tract 971600Toledo-VaderCentraliaLewisInglewoodVictorville-HesperiaFresnoSan MateoWashingtonUnited StatesSpokaneCntrl Contra CostaNE JeffersonBakersfieldStocktonOntarioSan BernardinoRiversideModestoComptonTacomaPhoenixColorado SpgsAlbuquerqueBeaverton-HillsboroPortland EastBoise CityWestSacramentoSalt Lk CityDenverOaklandSouth AuroraPacificOceanside-EscondidoOceanside-Escond…S Gate-E Los AngelesS Gate-E Los Ang…ChandlerSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesDowney-NorwalkLas VegasHaywardUpper San Gabriel VlyUpper San Gabriel …E San Gabriel VlySeattleLong Bch-LakewoodSeattle EastWhittierNorth CoastSan JoseHonoluluSan DiegoSW San Gabriel VlySan FranciscoEwaFremont-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.133201x1.133201x1.13x24.715%24.7%28.007%28.0%1-1.000000x-1.000000x1.130693x1.130693x1.13x19.044%19.0%21.533%21.5%2-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%3-1.000000x-1.000000x1.122033x1.122033x1.12x10.654%10.7%11.954%12.0%4-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107157x1.107157x1.11x7.034%7.03%7.788%7.79%5-1.000000x-1.000000x1.098561x1.098561x1.10x5.479%5.48%6.019%6.02%6-1.000000x-1.000000x1.095914x1.095914x1.10x6.124%6.12%6.712%6.71%7-1.000000x-1.000000x1.093115x1.093115x1.09x24.490%24.5%26.770%26.8%8-1.000000x-1.000000x1.089447x1.089447x1.09x26.023%26.0%28.351%28.4%9-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%10-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%11-1.000000x-1.000000x1.079132x1.079132x1.08x21.567%21.6%23.273%23.3%12-1.000000x-1.000000x1.072387x1.072387x1.07x23.060%23.1%24.729%24.7%13-1.000000x-1.000000x1.071771x1.071771x1.07x32.243%32.2%34.557%34.6%14-1.000000x-1.000000x1.069526x1.069526x1.07x10.642%10.6%11.382%11.4%15-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%16-1.000000x-1.000000x1.067846x1.067846x1.07x6.990%6.99%7.464%7.46%17-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%18-1.000000x-1.000000x1.065304x1.065304x1.07x8.689%8.69%9.256%9.26%19-1.000000x-1.000000x1.060968x1.060968x1.06x9.540%9.54%10.121%10.1%20-1.000000x-1.000000x1.053881x1.053881x1.05x5.525%5.52%5.822%5.82%21-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%23-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%24-1.000000x-1.000000x1.044061x1.044061x1.04x18.170%18.2%18.971%19.0%25-1.000000x-1.000000x1.043950x1.043950x1.04x9.238%9.24%9.644%9.64%26-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%27-1.000000x-1.000000x1.017204x1.017204x1.02x52.081%52.1%52.977%53.0%28-1.000000x-1.000000x1.013545x1.013545x1.01x6.106%6.11%6.189%6.19%29-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%30-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%31-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%32-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%33-1.014225x-1.014225x1.01x1.000000x1.000000x24.008%24.0%23.672%23.7%34-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%35-1.023831x-1.023831x1.02x1.000000x1.000000x16.982%17.0%16.587%16.6%36-1.026120x-1.026120x1.03x1.000000x1.000000x24.290%24.3%23.672%23.7%37-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%38-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%39-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%40-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%41-1.077111x-1.077111x1.08x1.000000x1.000000x21.572%21.6%20.027%20.0%42-1.093680x-1.093680x1.09x1.000000x1.000000x12.515%12.5%11.443%11.4%43-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%44-1.132304x-1.132304x1.13x1.000000x1.000000x11.215%11.2%9.904%9.90%45-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%46-1.209282x-1.209282x1.21x1.000000x1.000000x26.346%26.3%21.786%21.8%47-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%48-1.232576x-1.232576x1.23x1.000000x1.000000x8.558%8.56%6.943%6.94%49-1.275553x-1.275553x1.28x1.000000x1.000000x9.405%9.40%7.373%7.37%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in the West, and entities that contain Toledo-Vader
Female
Male
0x5x10xFM#Tract 971600Toledo-VaderSalt Lk CityUpper San Gabriel VlyUpper San Gabriel …Boise CityStocktonChandlerBakersfieldSpokaneAlbuquerqueBeaverton-HillsboroPhoenixModestoTucsonFremontCntrl Contra CostaLas VegasSeattle EastSan DiegoUnited StatesSan JoseHonoluluColorado SpgsWashingtonFresnoWestSan Fernando VlyE San Gabriel VlyRiversideSouth AuroraSan BernardinoPacificVictorville-HesperiaDowney-NorwalkNorth CoastCentraliaLewisAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…TacomaSacramentoSan MateoNE JeffersonSW San Gabriel VlyOceanside-EscondidoOceanside-Escond…Los AngelesComptonSeattleOntarioHaywardWhittierLong Bch-LakewoodInglewoodOaklandDenverSan FranciscoPortland EastS Gate-E Los AngelesS Gate-E Los Ang…Ewa-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%1-1.000000x-1.000000x1.833030x1.833030x1.83x2.189%2.19%4.013%4.01%2-1.000000x-1.000000x1.801323x1.801323x1.80x2.568%2.57%4.626%4.63%3-1.000000x-1.000000x1.774741x1.774741x1.77x1.291%1.29%2.292%2.29%4-1.000000x-1.000000x1.751139x1.751139x1.75x2.862%2.86%5.012%5.01%5-1.000000x-1.000000x1.724646x1.724646x1.72x1.280%1.28%2.207%2.21%6-1.000000x-1.000000x1.721484x1.721484x1.72x2.324%2.32%4.001%4.00%7-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%8-1.000000x-1.000000x1.660940x1.660940x1.66x3.099%3.10%5.147%5.15%9-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%10-1.000000x-1.000000x1.638802x1.638802x1.64x1.262%1.26%2.068%2.07%11-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%12-1.000000x-1.000000x1.619077x1.619077x1.62x3.392%3.39%5.491%5.49%13-1.000000x-1.000000x1.616102x1.616102x1.62x5.370%5.37%8.678%8.68%14-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%15-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%16-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%17-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%18-1.000000x-1.000000x1.511724x1.511724x1.51x4.566%4.57%6.903%6.90%19-1.000000x-1.000000x1.497992x1.497992x1.50x2.454%2.45%3.676%3.68%20-1.000000x-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%21-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.442742x1.442742x1.44x2.091%2.09%3.016%3.02%24-1.000000x-1.000000x1.427294x1.427294x1.43x2.274%2.27%3.246%3.25%25-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%26-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.405210x1.405210x1.41x0.826%0.83%1.161%1.16%27-1.000000x-1.000000x1.388437x1.388437x1.39x1.474%1.47%2.046%2.05%28-1.000000x-1.000000x1.386304x1.386304x1.39x3.339%3.34%4.629%4.63%29-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.360981x1.360981x1.36x2.026%2.03%2.757%2.76%31-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%32-1.000000x-1.000000x1.355263x1.355263x1.36x8.200%8.20%11.114%11.1%33-1.000000x-1.000000x1.335395x1.335395x1.34x2.719%2.72%3.631%3.63%34-1.000000x-1.000000x1.326877x1.326877x1.33x1.923%1.92%2.552%2.55%35-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%36-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%37-1.000000x-1.000000x1.273120x1.273120x1.27x0.713%0.71%0.908%0.91%38-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%39-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%40-1.000000x-1.000000x1.195039x1.195039x1.20x2.279%2.28%2.724%2.72%41-1.000000x-1.000000x1.189644x1.189644x1.19x1.601%1.60%1.905%1.90%42-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%43-1.000000x-1.000000x1.159391x1.159391x1.16x1.180%1.18%1.368%1.37%44-1.000000x-1.000000x1.147461x1.147461x1.15x6.162%6.16%7.071%7.07%45-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%46-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%47-1.000000x-1.000000x1.089436x1.089436x1.09x4.190%4.19%4.565%4.57%48-1.014672x-1.014672x1.01x1.000000x1.000000x0.305%0.30%0.300%0.30%49-1.453997x-1.453997x1.45x1.000000x1.000000x2.376%2.38%1.634%1.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Toledo-Vader to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Toledo-Vader. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Toledo-Vader, selected other county subdivisions in the United States, and entities that contain Toledo-Vader
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPacificPhoenixWestBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaCentralia Metro AreaCentraliaLewis CountyLewisSan JoseSan FranciscoTucsonAlbuquerque971600Tract 971600Toledo-VaderTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaWashingtonSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2515.692232%15.692232%15.7%5,422,9325.42M14.952077%14.952077%15.0%308,569309k2614.435746%14.435746%14.4%7,178,2187.18M14.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.929994%12.929994%12.9%6,85612.929994%12.929994%12.9%6,85612.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.970462%11.970462%12.0%30811.970462%11.970462%12.0%30811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.418712%9.418712%9.4%452,496452k8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Toledo-Vader, selected other county subdivisions in the United States, and entities that contain Toledo-Vader
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynWashingtonSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaPacificTucsonWestOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoCentralia Metro AreaCentraliaLewis CountyLewisSan Antonio CentralSan Antonio CntrlDetroit971600Tract 971600Toledo-Vader60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.557116%33.557116%33.6%1,612,1591.61M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.107540%32.107540%32.1%11,095,74511.1M32.087814%32.087814%32.1%184,237184k2631.501368%31.501368%31.5%15,664,15015.7M31.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.509958%15.509958%15.5%8,22415.509958%15.509958%15.5%8,22414.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5011.970462%11.970462%12.0%30811.970462%11.970462%12.0%308
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Toledo-Vader, selected other county subdivisions in the United States, and entities that contain Toledo-Vader
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasPacificSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyWestWashingtonTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxCentralia Metro AreaCentraliaLewis CountyLewisDetroit971600Tract 971600Toledo-Vader12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.803905%3.803905%3.8%1,314,5561.31M3.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.594387%3.594387%3.6%1,787,3201.79M3.560013%3.560013%3.6%171,031171k3.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.352218%1.352218%1.4%7171.352218%1.352218%1.4%7171.318660%1.318660%1.3%5,693500.077730%0.077730%0.1%20.077730%0.077730%0.1%2
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in the United States, and entities that contain Toledo-Vader
Female
Male
1x0x1xFM#Tract 971600Toledo-VaderCentraliaLewis1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeWashingtonUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonWestSacramentoColumbusSalt Lk CityDenverPacificNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%-1.000000x-1.000000x1.607627x1.607627x1.61x9.268%9.27%14.899%14.9%-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.291534x1.291534x1.29x11.312%11.3%14.610%14.6%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Toledo-Vader, selected other county subdivisions in the United States, and entities that contain Toledo-Vader
Female
Male
0x5x10xFM#Tract 971600Toledo-VaderEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseWashingtonHempsteadFresnoNE TarrantWestTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoPacificColumbusMiamiAtlantaCentraliaLewisMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.162%0.16%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.378452x1.378452x1.38x1.140%1.14%1.572%1.57%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

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:
Lewis
Metro Area:
Centralia Area
Cities:
Toledo, Vader
ZIP Codes:
98538, 98581, 98591, 98593, 98596
Unified School Districts:
Boistfort, Castle Rock, Toledo, Winlock
Congressional District:
WA-3
State Senate Districts:
WA-19, WA-20
State House Districts:
WA-19, WA-20