Educational Attainment in Mount Vernon, Skagit County, Washington (Census County Division)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Skagit County and Mount Vernon
Mount Vernon
Skagit County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.569278%34.813474%32.569278%32.6%7,61649.414129%54.086074%49.414129%49.4%11,55511.6k18.016593%11.100452%18.016593%18.0%4,213
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 Skagit County at large.
Scope: population of Skagit County and Mount Vernon
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-6.446342%-6.446342%-6.4%32.569%32.6%34.813%34.8%-8.637981%-8.637981%-8.6%49.414%49.4%54.086%54.1%62.305034%62.305034%+62.3%18.017%18.0%11.100%11.1%
% percentage with given level in Mount Vernon
ref. percentage with given level in Skagit 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 Skagit County and Mount Vernon
Mount Vernon
Skagit County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.902326%0.882568%0.902326%0.9%2110.910879%1.665607%0.910879%0.9%2135.409682%6.419004%5.409682%5.4%1,26514.929011%15.748324%14.929011%14.9%3,49110.417379%10.097970%10.417379%10.4%2,43625.513171%27.484321%25.513171%25.5%5,96623.900958%26.601753%23.900958%23.9%5,5898.548580%6.640845%8.548580%8.5%1,9997.282757%3.371986%7.282757%7.3%1,7032.185255%1.087621%2.185255%2.2%511
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 Skagit County at large.
Scope: population of Skagit County and Mount Vernon
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.238728%2.238728%+2.2%0.902%0.90%0.883%0.88%-45.312490%-45.312490%-45.3%0.911%0.91%1.666%1.67%-15.723968%-15.723968%-15.7%5.410%5.41%6.419%6.42%-5.202540%-5.202540%-5.2%14.929%14.9%15.748%15.7%3.163107%3.163107%+3.2%10.417%10.4%10.098%10.1%-7.171907%-7.171907%-7.2%25.513%25.5%27.484%27.5%-10.152696%-10.152696%-10.2%23.901%23.9%26.602%26.6%28.727293%28.727293%+28.7%8.549%8.55%6.641%6.64%115.978304%115.978304%+116.0%7.283%7.28%3.372%3.37%100.920573%100.920573%+100.9%2.185%2.19%1.088%1.09%
% percentage with given level in Mount Vernon
ref. percentage with given level in Skagit 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 Skagit County and Mount Vernon
More Females More Males
Skagit County
Mount Vernon
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-7.809196%-3.050967%-7.809196%8%33.745%33.7%31.301%31.3%-2.567066%-2.624403%-2.567066%3%50.016%50.0%48.765%48.8%22.762500%24.699977%22.762500%23%16.238%16.2%19.934%19.9%
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 Skagit County and Mount Vernon
More Females More Males
Skagit County
Mount Vernon
50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None36.804926%84.837662%36.804926%37%0.767%0.77%1.049%1.05%79.252133%37.562480%79.252133%79%0.659%0.66%1.182%1.18%-19.772787%1.692766%1.692766%2%5.366%5.37%5.457%5.46%12.297603%11.030375%12.297603%12%14.095%14.1%15.828%15.8%-65.164921%-29.641554%-65.164921%65%12.859%12.9%7.785%7.79%-25.098172%-15.099435%-25.098172%25%28.239%28.2%22.574%22.6%20.267976%9.651942%20.267976%20%21.777%21.8%26.191%26.2%39.067877%44.243516%39.067877%39%7.196%7.20%10.007%10.0%30.335947%8.861466%30.335947%30%6.355%6.36%8.283%8.28%-63.434295%-26.721905%-63.434295%63%2.687%2.69%1.644%1.64%
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 Skagit County and Mount Vernon
Mount Vernon
Skagit County
0%5%10%15%B.X.Total65+45-6435-4425-3417.957082%17.768924%17.957082%18.0%1,0465,82514.073719%16.036546%14.073719%14.1%1,1768,35619.534669%16.093303%19.534669%19.5%8484,3418.658988%11.675646%8.658988%8.7%4214,862
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 Skagit County at large.
Scope: population of Skagit County and Mount Vernon
20%10%0%10%20%%ref.65+45-6435-4425-341.058912%1.058912%1.1%17.957%18.0%17.769%17.8%-12.239709%-12.239709%12.2%14.074%14.1%16.037%16.0%21.383842%21.383842%21.4%19.535%19.5%16.093%16.1%-25.837183%-25.837183%25.8%8.659%8.66%11.676%11.7%
% percentage in Mount Vernon with a Bachelor's degree
ref percentage in Skagit 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 Skagit County and Mount Vernon
More Females More Males
Skagit County
Mount Vernon
40%20%0%20%40%60%FM65+45-6435-4425-3468.763137%44.193696%68.763137%68.8%13.893%13.9%23.446%23.4%3.174704%11.648886%3.174704%3.2%13.860%13.9%14.300%14.3%-5.149690%16.687826%16.687826%16.7%18.085%18.1%21.103%21.1%-58.776147%-29.679288%-58.776147%58.8%10.823%10.8%6.816%6.82%
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 Skagit County and Mount Vernon
Mount Vernon
Skagit County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$64,904.000000$63,670.000000$64,904.000000$64.9k1,6897.223%7.22%$42,050.000000$47,064.000000$42,050.000000$42.1k3,49114.929%14.9%$29,417.000000$35,028.000000$29,417.000000$29.4k8,40235.931%35.9%$29,653.000000$31,381.000000$29,653.000000$29.7k5,58923.901%23.9%$20,947.000000$22,965.000000$20,947.000000$20.9k4,21318.017%18.0%$30,300.000000$35,450.000000$30,300.000000$30.3k23,38423.4k100.000%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 Skagit County and Mount Vernon
Female Male
Skagit County
Mount Vernon
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-60,789.000000$-59,762.000000$-60,789.000000$60.8k$60,789.000000$9,400.000000$59,762.000000$12,846.000000$70,189.000000$70.2k824865$-26,316.000000$-31,891.000000$-26,316.000000$26.3k$26,316.000000$34,473.000000$31,891.000000$29,817.000000$60,789.000000$60.8k1,7101,781$-26,005.000000$-27,103.000000$-26,005.000000$26.0k$26,005.000000$9,412.000000$27,103.000000$18,241.000000$35,417.000000$35.4k4,9863,416$-20,665.000000$-24,225.000000$-20,665.000000$20.7k$20,665.000000$13,196.000000$24,225.000000$14,929.000000$33,861.000000$33.9k2,6422,947$-18,083.000000$-18,211.000000$-18,083.000000$18.1k$18,083.000000$6,148.000000$18,211.000000$9,141.000000$24,231.000000$24.2k1,9702,243$-23,870.000000$-27,323.000000$-23,870.000000$23.9k$23,870.000000$13,606.000000$27,323.000000$17,401.000000$37,476.000000$37.5k12,13212.1k11,25211.3k
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Skagit County and Mount Vernon
Mount Vernon
Skagit County
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma333.333333%70.625000%33.333333%33.3%80.000000%0.000000%0.0%12.500000%066.666667%16.875000%66.666667%66.7%160.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Skagit County and Mount Vernon
Mount Vernon
Skagit County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.204070%79.320500%81.204070%81.2%2,87373.007422%71.409744%73.007422%73.0%4,52567.619948%66.945761%67.619948%67.6%2,86168.652561%60.202361%68.652561%68.7%2,466
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Skagit County and Mount Vernon
Female Male
Skagit County
Mount Vernon
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-6.292419%-5.514196%-6.292419%6.3%6.292419%2.183947%5.514196%2.130432%8.476367%8.5%642547-16.455696%-0.436196%-9.364548%-6.424925%-16.891892%16.9%16.455696%9.364548%16.455696%16.5%1325-8.554572%-9.489051%-8.554572%8.6%8.554572%8.696890%9.489051%5.404566%17.251462%17.3%5929-51.096576%-42.442357%-51.096576%51.1%51.096576%0.336871%42.442357%1.307643%51.433447%51.4%1,5071,328-45.631608%-0.600113%-33.324722%-1.545069%-46.231721%46.2%45.631608%33.324722%45.631608%45.6%820822
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Skagit County and Mount Vernon
Female Male
Skagit County
Mount Vernon
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-25.779363%-26.316981%-25.779363%25.8%25.779363%4.785728%26.316981%2.411010%30.565091%30.6%2,3152,241-0.000000%-5.263158%0.000000%0.0%0.000000%0.000000%5.263158%15.472628%0.000000%0.0%00-25.438596%-7.304766%-30.496454%-5.269969%-32.743363%32.7%25.438596%30.496454%25.438596%25.4%87111-5.348211%-7.167969%-0.539119%-5.348211%5.3%5.348211%0.522096%7.167969%5.870307%5.9%172139-8.155231%-8.395763%-0.197987%-8.155231%8.2%8.155231%0.303311%8.395763%8.458542%8.5%152145
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in Mount Vernon

Coarse: Post-Secondary Degree Educational Attainment by Neighborhood#16

Percentage of the population 25 years and older with given highest level of educational attainment
21.1%23.7%26.3%28.8%31.4%34.0%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
39.7%42.2%44.6%47.1%49.5%52.0%

Coarse: No High School Diploma Educational Attainment by Neighborhood#18

Percentage of the population 25 years and older with given highest level of educational attainment
14.1%19.2%24.1%29.1%34.1%39.1%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.191%0.226%0.260%0.294%0.329%0.364%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.344%0.380%0.415%0.451%0.487%0.523%

Detailed: Master's Degree Educational Attainment by Neighborhood#21

Percentage of the population 25 years and older with given highest level of educational attainment
3.55%4.03%4.51%4.99%5.46%5.94%

Detailed: Bachelor's Degree Educational Attainment by Neighborhood#22

Percentage of the population 25 years and older with given highest level of educational attainment
8.6%10.3%12.0%13.7%15.3%17.1%

Detailed: Associate's Degree Educational Attainment by Neighborhood#23

Percentage of the population 25 years and older with given highest level of educational attainment
8.41%8.74%9.07%9.40%9.73%10.07%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
17.6%19.0%20.3%21.6%22.9%24.3%

Detailed: High School Diploma or Equivalent Educational Attainment by Neighborhood#25

Percentage of the population 25 years and older with given highest level of educational attainment
22.1%23.2%24.3%25.4%26.6%27.7%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
8.0%9.5%11.0%12.5%13.9%15.4%

Detailed: Less than High School Educational Attainment by Neighborhood#27

Percentage of the population 25 years and older with given highest level of educational attainment
5.7%8.0%10.3%12.6%14.9%17.2%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%1.6%2.8%4.1%5.3%6.6%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Mount Vernon

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
21.1%24.4%27.7%31.0%34.3%37.7%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
39.7%42.7%45.6%48.6%51.5%54.5%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
10%16%22%28%33%40%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.34%0.68%1.03%1.37%1.72%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.34%0.78%1.21%1.65%2.08%2.52%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
3.5%4.6%5.6%6.6%7.6%8.6%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
8.6%10.6%12.6%14.6%16.7%18.7%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
8.4%9.3%10.2%11.0%11.9%12.8%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
17.6%20.2%22.8%25.4%27.9%30.6%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
21.8%24.0%26.0%28.1%30.2%32.3%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
4.7%6.8%9.0%11.1%13.2%15.4%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
2.6%5.6%8.5%11.4%14.3%17.2%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%1.4%2.7%4.0%5.3%6.6%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Mount Vernon

There are 2 neighborhoods in Mount Vernon. This section compares all 2 of those to each other, Mount Vernon, and other entities that contain or substantially overlap with Mount Vernon.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Mount Vernon, selected neighborhoods in Mount Vernon, and entities that contain Mount Vernon
0%10%20%30%Count#Kulshan Creek NeighborhoodKulshan CreekMount VernonPacificWestWest Hill NeighborhoodWest HillUnited States of AmericaUnited StatesMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitWashington39.082218%39.082218%39.1%496497118.016593%18.016593%18.0%4,21315.692232%15.692232%15.7%5,422,9325.42M14.435746%14.435746%14.4%7,178,2187.18M14.168507%14.168507%14.2%4748213.020590%13.020590%13.0%27,818,38027.8M11.100452%11.100452%11.1%9,25711.100452%11.100452%11.1%9,2579.418712%9.418712%9.4%452,496452k
Count number of people in category
# rank of neighborhood out of 2 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Mount Vernon, selected neighborhoods in Mount Vernon, and entities that contain Mount Vernon
0%10%20%30%Count#WashingtonPacificWestUnited States of AmericaUnited StatesMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitWest Hill NeighborhoodWest HillMount VernonKulshan Creek NeighborhoodKulshan Creek33.557116%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%64,767,78764.8M24.715504%24.715504%24.7%20,61120.6k24.715504%24.715504%24.7%20,61120.6k23.841537%23.841537%23.8%80122.151899%22.151899%22.2%5,18012.734226%12.734226%12.7%1611622
Count number of people in category
# rank of neighborhood out of 2 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Mount Vernon, selected neighborhoods in Mount Vernon, and entities that contain Mount Vernon
0%1%2%3%Count#PacificWestWashingtonUnited States of AmericaUnited StatesMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitMount VernonWest Hill NeighborhoodWest HillKulshan Creek NeighborhoodKulshan Creek3.803905%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%7,127,6737.13M2.548176%2.548176%2.5%2,1252.548176%2.548176%2.5%2,1251.813206%1.813206%1.8%4240.885522%0.885522%0.9%2310.535373%0.535373%0.5%672
Count number of people in category
# rank of neighborhood out of 2 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 Neighborhood#45

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 Mount Vernon, selected neighborhoods in Mount Vernon, and entities that contain Mount Vernon
Female
Male
1x0x1xFM#West HillMount VernonSkagitMount VernonWashingtonUnited StatesWestPacificKulshan Creek-1.000000x-1.000000x1.881501x1.881501x1.88x9.753%9.75%18.350%18.4%1-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.227625x1.227625x1.23x16.238%16.2%19.934%19.9%-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-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.005253x1.005253x1.01x38.986%39.0%39.190%39.2%2
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 2 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#46

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 Mount Vernon, selected neighborhoods in Mount Vernon, and entities that contain Mount Vernon
Female
Male
1x0x1x2xFM#Kulshan CreekMount VernonUnited StatesMount VernonSkagitWashingtonWestPacificWest Hill-1.000000x-1.000000x2.011336x2.011336x2.01x0.362%0.36%0.729%0.73%1-1.000000x-1.000000x1.564337x1.564337x1.56x1.426%1.43%2.231%2.23%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-1.000000x-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-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-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.012240x-1.012240x1.01x1.000000x1.000000x0.891%0.89%0.880%0.88%2
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 2 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Mount Vernon Area

There are 14 county subdivisions in the Mount Vernon Area. This section compares Mount Vernon to all of the county subdivisions in the Mount Vernon Area and to those entities that contain or substantially overlap with Mount Vernon.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Mount Vernon, selected other county subdivisions in the Mount Vernon Area, and entities that contain Mount Vernon
0%5%10%15%Count#Mount VernonPacificBurlingtonWestUnited States of AmericaUnited StatesLyman-HamiltonMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitUpper Samish RiverUpper Samish RivLa ConnerEast SkagitWashingtonSedro-WoolleyBowSwinomish ReservationSwinomish Reserv…Clear LakeConwayLake CavanaughLk CavanaughBay ViewAnacortes18.016593%18.016593%18.0%4,213115.692232%15.692232%15.7%5,422,9325.42M15.191042%15.191042%15.2%1,316214.435746%14.435746%14.4%7,178,2187.18M13.020590%13.020590%13.0%27,818,38027.8M12.896922%12.896922%12.9%264311.100452%11.100452%11.1%9,25711.100452%11.100452%11.1%9,25710.258176%10.258176%10.3%298410.087173%10.087173%10.1%24359.920751%9.920751%9.9%33869.418712%9.418712%9.4%452,496452k9.132973%9.132973%9.1%82977.535033%7.535033%7.5%32887.373068%7.373068%7.4%16796.975089%6.975089%7.0%98106.629615%6.629615%6.6%167115.924672%5.924672%5.9%140124.704097%4.704097%4.7%124134.586466%4.586466%4.6%73214
Count number of people in category
# rank of county subdivision out of 14 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Mount Vernon, selected other county subdivisions in the Mount Vernon Area, and entities that contain Mount Vernon
0%10%20%30%Count#Bay ViewSwinomish ReservationSwinomish Reserv…AnacortesWashingtonPacificWestConwayUnited States of AmericaUnited StatesBowLa ConnerLake CavanaughLk CavanaughMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitMount VernonUpper Samish RiverUpper Samish RivEast SkagitBurlingtonSedro-WoolleyClear LakeLyman-Hamilton39.226100%39.226100%39.2%1,034138.984547%38.984547%39.0%883238.784461%38.784461%38.8%6,190333.557116%33.557116%33.6%1,612,1591.61M32.107540%32.107540%32.1%11,095,74511.1M31.501368%31.501368%31.5%15,664,15015.7M30.329496%30.329496%30.3%764430.315023%30.315023%30.3%64,767,78764.8M29.542844%29.542844%29.5%1,286528.061436%28.061436%28.1%676627.972916%27.972916%28.0%661724.715504%24.715504%24.7%20,61120.6k24.715504%24.715504%24.7%20,61120.6k22.151899%22.151899%22.2%5,180819.173838%19.173838%19.2%557915.145289%15.145289%15.1%5161014.856285%14.856285%14.9%1,2871114.013441%14.013441%14.0%1,2721210.604982%10.604982%10.6%149137.620909%7.620909%7.6%15614
Count number of people in category
# rank of county subdivision out of 14 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Mount Vernon, selected other county subdivisions in the Mount Vernon Area, and entities that contain Mount Vernon
0%1%2%3%4%5%Count#Lake CavanaughLk CavanaughBay ViewAnacortesSwinomish ReservationSwinomish Reserv…PacificWestWashingtonUnited States of AmericaUnited StatesBowMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitLa ConnerClear LakeConwayEast SkagitMount VernonUpper Samish RiverUpper Samish RivSedro-WoolleyBurlingtonLyman-Hamilton5.882353%5.882353%5.9%13915.007587%5.007587%5.0%13224.517544%4.517544%4.5%72133.973510%3.973510%4.0%9043.803905%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%7,127,6737.13M2.641856%2.641856%2.6%11552.548176%2.548176%2.5%2,1252.548176%2.548176%2.5%2,1252.407638%2.407638%2.4%5862.277580%2.277580%2.3%3271.945216%1.945216%1.9%4981.849134%1.849134%1.8%6391.813206%1.813206%1.8%424101.721170%1.721170%1.7%50111.454225%1.454225%1.5%132121.339028%1.339028%1.3%116130.195408%0.195408%0.2%414
Count number of people in category
# rank of county subdivision out of 14 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#50

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 Mount Vernon, selected other county subdivisions in the Mount Vernon Area, and entities that contain Mount Vernon
Female
Male
1x0x1x2xFM#Sedro-WoolleyUpper Samish RivBowConwayLa ConnerLyman-HamiltonEast SkagitMount VernonSkagitMount VernonAnacortesWashingtonUnited StatesWestPacificBurlingtonLk CavanaughClear LakeSwinomish ReservationSwinomish Reserv…Bay View-1.000000x-1.000000x2.116495x2.116495x2.12x5.867%5.87%12.417%12.4%1-1.000000x-1.000000x1.972628x1.972628x1.97x6.677%6.68%13.171%13.2%2-1.000000x-1.000000x1.650327x1.650327x1.65x5.697%5.70%9.403%9.40%3-1.000000x-1.000000x1.590320x1.590320x1.59x5.097%5.10%8.106%8.11%4-1.000000x-1.000000x1.584483x1.584483x1.58x7.882%7.88%12.489%12.5%5-1.000000x-1.000000x1.498788x1.498788x1.50x10.279%10.3%15.407%15.4%6-1.000000x-1.000000x1.365536x1.365536x1.37x8.397%8.40%11.466%11.5%7-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.227625x1.227625x1.23x16.238%16.2%19.934%19.9%8-1.000000x-1.000000x1.122830x1.122830x1.12x4.335%4.33%4.867%4.87%9-1.000000x-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-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.009437x-1.009437x1.01x1.000000x1.000000x15.260%15.3%15.118%15.1%10-1.122161x-1.122161x1.12x1.000000x1.000000x6.266%6.27%5.584%5.58%11-1.291879x-1.291879x1.29x1.000000x1.000000x7.868%7.87%6.091%6.09%12-1.793371x-1.793371x1.79x1.000000x1.000000x9.405%9.40%5.244%5.24%13-1.911340x-1.911340x1.91x1.000000x1.000000x6.156%6.16%3.221%3.22%14
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 14 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

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 Mount Vernon, selected other county subdivisions in the Mount Vernon Area, and entities that contain Mount Vernon
Female
Male
0x5x10xFM#Upper Samish RivBay ViewClear LakeAnacortesMount VernonBurlingtonUnited StatesConwayMount VernonSkagitWashingtonWestSwinomish ReservationSwinomish Reserv…BowPacificLa ConnerLk CavanaughEast SkagitLyman-HamiltonSedro-Woolley-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.077%0.08%3.059%3.06%1-1.000000x-1.000000x3.328023x3.328023x3.33x2.327%2.33%7.745%7.75%2-1.000000x-1.000000x2.970255x2.970255x2.97x1.144%1.14%3.399%3.40%3-1.000000x-1.000000x1.748586x1.748586x1.75x3.337%3.34%5.836%5.84%4-1.000000x-1.000000x1.564337x1.564337x1.56x1.426%1.43%2.231%2.23%5-1.000000x-1.000000x1.554977x1.554977x1.55x1.055%1.05%1.640%1.64%6-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.521106x1.521106x1.52x1.537%1.54%2.338%2.34%7-1.000000x-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-1.000000x-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-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-1.000000x1.433996x1.433996x1.43x3.279%3.28%4.702%4.70%8-1.000000x-1.000000x1.418461x1.418461x1.42x2.188%2.19%3.103%3.10%9-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.250715x1.250715x1.25x2.150%2.15%2.689%2.69%10-1.000000x-1.000000x1.240885x1.240885x1.24x5.250%5.25%6.514%6.51%11-1.018414x-1.018414x1.02x1.000000x1.000000x1.866%1.87%1.832%1.83%12-1.042914x-1.042914x1.04x1.000000x1.000000x0.200%0.20%0.191%0.19%13-2.756204x-2.756204x2.76x1.000000x1.000000x2.131%2.13%0.773%0.77%14
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 14 by male-to-female sex ratio

Educational Attainment by County Subdivision in Washington

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

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Mount Vernon, selected other county subdivisions in Washington, and entities that contain Mount Vernon
0%10%20%30%40%Count#Toppenish-WapatoSunnysidePascoYakimaMount VernonWenatcheeEast WenatcheeE WenatcheeMoses LakePacificCentralia-ChehalisWestLongview-KelsoUnited States of AmericaUnited StatesAberdeen-HoquiamFederal Way-AuburnFederal Wy-AuburnEverettWalla Walla-College PlaceWalla Walla-Colle…Mount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitTacomaMonroeFerndaleMarysvilleOrchardsWashingtonVancouverRichland-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%27,818,38027.8M12.768225%12.768225%12.8%2,7551111.985242%11.985242%12.0%13,87113.9k1211.154548%11.154548%11.2%13,63913.6k1311.149697%11.149697%11.1%3,6281411.100452%11.100452%11.1%9,25711.100452%11.100452%11.1%9,25711.000536%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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Mount Vernon, selected other county subdivisions in Washington, and entities that contain Mount Vernon
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 IsMonroeMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitTacomaOlympia EastPort OrchardFederal Way-AuburnFederal Wy-AuburnMount VernonStanwoodPort AngelesGraham-ThriftOrchardsEast WenatcheeE WenatcheeMarysvilleYakimaArlingtonCentralia-ChehalisThurston SouthThurston SMoses LakeAberdeen-HoquiamPascoLongview-KelsoSunnysideToppenish-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%5,1932924.715504%24.715504%24.7%20,61120.6k24.715504%24.715504%24.7%20,61120.6k24.260108%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%3,5244515.155026%15.155026%15.2%3,2704614.976152%14.976152%15.0%4,9614714.851875%14.851875%14.9%6,4124810.182608%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#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Mount Vernon, selected other county subdivisions in Washington, and entities that contain Mount Vernon
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 AngelesMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitYakimaBattle GroundTacomaEnumclaw PlateauSnohomishPuyallupEverettBremertonCentralia-ChehalisTahoma-Maple ValleyTahoma-Maple VlyMount VernonMonroePort OrchardEast WenatcheeE WenatcheeNorth Whidbey IslandN Whidbey IsStanwoodAberdeen-HoquiamFederal Way-AuburnFederal Wy-AuburnOlympia EastOrchardsMoses LakeLongview-KelsoGraham-ThriftMarysvillePascoArlingtonThurston SouthThurston SToppenish-WapatoSunnyside15.690517%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%575212.548176%2.548176%2.5%2,1252.548176%2.548176%2.5%2,1252.514931%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%584431.261935%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%17850
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#55

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 Mount Vernon, selected other county subdivisions in Washington, and entities that contain Mount Vernon
Female
Male
1x0x1xFM#ArlingtonEnumclaw PlateauSnoqualmie VlyWenatcheeCentralia-ChehalisThurston SStanwoodBattle GroundCamasWalla Walla-College PlWalla Walla-Colle…MonroeYakimaSnohomishLongview-KelsoE WenatcheeMount VernonSkagitVancouverMount 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-1.000000x1.545532x1.545532x1.55x6.637%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-1.000000x1.283517x1.283517x1.28x9.734%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-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-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#56

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 Mount Vernon, selected other county subdivisions in Washington, and entities that contain Mount Vernon
Female
Male
1x0x1x2x3xFM#PascoRichland-KennewickGig Hbr PeninsulaBremertonE WenatcheeBattle GroundDeer ParkArlingtonLongview-KelsoStanwoodMarysvilleFerndaleThurston SWalla Walla-College PlWalla Walla-Colle…OrchardsMoses LakeFederal Wy-AuburnYakimaVancouverSpokaneEnumclaw PlateauOlympia EastPort AngelesPoulsboCamasEdmondsMount VernonOlympiaSeattle EastBellinghamUnited StatesMount VernonSkagitWashingtonPullmanWestGraham-ThriftIssaquah PlateauToppenish-WapatoPacificEverettSunnysideTacomaMaltbyPuyallupWenatcheeCentralia-ChehalisSeattleN Whidbey IsPort OrchardSnoqualmie VlyMonroeSnohomishTahoma-Maple VlyAberdeen-HoquiamFort Lewis-DuPont-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-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-1.000000x-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-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-1.000000x1.360981x1.360981x1.36x2.026%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 Mount Vernon to the 50 most populous county subdivisions in the West and to those entities that contain or substantially overlap with Mount Vernon. The least populous of the compared county subdivisions has a population of 323,012.

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Mount Vernon, selected other county subdivisions in the West, and entities that contain Mount Vernon
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 VlyOaklandMount VernonOntarioHaywardOceanside-EscondidoOceanside-Escond…Las VegasPacificPhoenixWestSacramentoDenverUnited States of AmericaUnited StatesSan DiegoSan JoseSan FranciscoTucsonAlbuquerqueNorth CoastSan MateoMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitTacomaHonoluluSalt 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%57,39857.4k2018.016593%18.016593%18.0%4,21317.129346%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%206,792207k2812.789590%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%32,74032.7k3311.285751%11.285751%11.3%31,77331.8k3411.100452%11.100452%11.1%9,25711.100452%11.100452%11.1%9,25711.000536%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Mount Vernon, selected other county subdivisions in the West, and entities that contain Mount Vernon
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 VlyMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitTacomaFresnoDowney-NorwalkMount VernonLas VegasRiversideWhittierInglewoodSan BernardinoStocktonModestoBakersfieldComptonVictorville-HesperiaSouth 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%62,24262.2k3624.715504%24.715504%24.7%20,61120.6k24.715504%24.715504%24.7%20,61120.6k24.260108%24.260108%24.3%71,96372.0k3722.486319%22.486319%22.5%94,05694.1k3822.153227%22.153227%22.2%59,43659.4k3922.151899%22.151899%22.2%5,18021.702666%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%33,88933.9k4515.403574%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%27,67727.7k496.485660%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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Mount Vernon, selected other county subdivisions in the West, and entities that contain Mount Vernon
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 AuroraMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitRiversideHaywardEast San Gabriel ValleyE San Gabriel VlyTacomaOntarioSouthwest San Gabriel ValleySW San Gabriel VlyLas VegasEwaMount VernonSan BernardinoStocktonWhittierDowney-NorwalkBakersfieldModestoInglewoodVictorville-HesperiaComptonSouth Gate-East Los AngelesS Gate-E Los Ang…9.616314%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%6,877322.548176%2.548176%2.5%2,1252.548176%2.548176%2.5%2,1252.540696%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%4,554401.813206%1.813206%1.8%4241.807306%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%3,324461.267904%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%88850
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#60

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 Mount Vernon, selected other county subdivisions in the West, and entities that contain Mount Vernon
Female
Male
1x0x1xFM#Mount VernonSkagitMount VernonInglewoodVictorville-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-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.227625x1.227625x1.23x16.238%16.2%19.934%19.9%-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#61

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 Mount Vernon, selected other county subdivisions in the West, and entities that contain Mount Vernon
Female
Male
1x0x1x2xFM#Salt Lk CityUpper San Gabriel VlyUpper San Gabriel …Boise CityStocktonChandlerBakersfieldSpokaneAlbuquerqueBeaverton-HillsboroPhoenixModestoTucsonFremontCntrl Contra CostaLas VegasMount VernonSeattle EastSan DiegoUnited StatesMount VernonSkagitSan JoseHonoluluColorado SpgsWashingtonFresnoWestSan Fernando VlyE San Gabriel VlyRiversideSouth AuroraSan BernardinoPacificVictorville-HesperiaDowney-NorwalkNorth CoastAnaheim-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-1.000000x2.053360x2.053360x2.05x2.488%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-1.000000x1.564337x1.564337x1.56x1.426%1.43%2.231%2.23%-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-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-1.000000x-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-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-1.000000x1.362600x1.362600x1.36x2.347%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 Mount Vernon to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Mount Vernon. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Mount Vernon, selected other county subdivisions in the United States, and entities that contain Mount Vernon
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 VlyMount VernonMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPacificPhoenixWestBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitSalt 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%244,983245k1818.016593%18.016593%18.0%4,21317.485105%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%57,75857.8k3412.789590%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%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4111.100452%11.100452%11.1%9,25711.100452%11.100452%11.1%9,25710.435356%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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Mount Vernon, selected other county subdivisions in the United States, and entities that contain Mount Vernon
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 VlyOntarioPhiladelphiaMiamiMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitFort WorthSouthwest DallasSW DallasMilwaukeeFresnoMount VernonLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%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%178,455178k4024.715504%24.715504%24.7%20,61120.6k24.715504%24.715504%24.7%20,61120.6k24.665414%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%94,05694.1k4422.151899%22.151899%22.2%5,18021.702666%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%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
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#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Mount Vernon, selected other county subdivisions in the United States, and entities that contain Mount Vernon
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 TarrantMount Vernon and Anacortes Metro AreaMount VernonSkagit CountySkagitEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeMount VernonSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%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%9,827392.548176%2.548176%2.5%2,1252.548176%2.548176%2.5%2,1252.484535%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%7,455441.813206%1.813206%1.8%4241.807306%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%15,06415.1k491.318660%1.318660%1.3%5,69350
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#65

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 Mount Vernon, selected other county subdivisions in the United States, and entities that contain Mount Vernon
Female
Male
1x0x1xFM#1, CharlotteMount VernonSkagitDetroitMount VernonBaltimoreTulsaSW 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-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.247000x1.247000x1.25x9.905%9.90%12.351%12.4%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.227625x1.227625x1.23x16.238%16.2%19.934%19.9%-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#66

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 Mount Vernon, selected other county subdivisions in the United States, and entities that contain Mount Vernon
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteNW HarrisLas VegasMount VernonSeattle EastSan Antonio CntrlSan DiegoUnited StatesMount VernonSkagitSan JoseWashingtonHempsteadFresnoNE TarrantWestTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoPacificColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-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-1.000000x1.564337x1.564337x1.56x1.426%1.43%2.231%2.23%-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-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-1.000000x-1.000000x1.520835x1.520835x1.52x2.031%2.03%3.089%3.09%-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-1.000000x1.368590x1.368590x1.37x1.742%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.

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State:
Washington
County:
Skagit
Metro Area:
Mount Vernon Area
City:
Mount Vernon
Unincorporated Place:
Big Lake
ZIP Codes:
98273, 98274
Unified School Districts:
Mount Vernon, Sedro-Woolley
Neighborhoods:
Kulshan Creek, West Hill
Congressional Districts:
WA-1, WA-2
State Senate Districts:
WA-10, WA-39, WA-40
State House Districts:
WA-10, WA-39, WA-40