Educational Attainment in Dakota County, Minnesota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Minnesota and Dakota County
Dakota County
Minnesota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma252.176187%45.216942%52.176187%52.2%143,664144k42.479589%47.407004%42.479589%42.5%116,965117k5.344224%7.376055%5.344224%5.3%14,71514.7k
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 Minnesota at large.
Scope: population of Minnesota and Dakota County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma215.390791%15.390791%+15.4%52.176%52.2%45.217%45.2%-10.393853%-10.393853%-10.4%42.480%42.5%47.407%47.4%-27.546306%-27.546306%-27.5%5.344%5.34%7.376%7.38%
% percentage with given level in Dakota County
ref. percentage with given level in Minnesota
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 Minnesota and Dakota County
Dakota County
Minnesota
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.122959%1.366389%1.122959%1.1%3,0922.049800%2.092359%2.049800%2.0%5,6449.287655%8.000226%9.287655%9.3%25,57325.6k28.263191%22.781635%28.263191%28.3%77,82177.8k11.452583%10.976332%11.452583%11.5%31,53431.5k21.466965%21.730308%21.466965%21.5%59,10859.1k21.012624%25.676696%21.012624%21.0%57,85757.9k3.314763%4.319913%3.314763%3.3%9,1271.420768%1.957001%1.420768%1.4%3,9120.608693%1.099141%0.608693%0.6%1,676
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 Minnesota at large.
Scope: population of Minnesota and Dakota County
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-17.815583%-17.815583%-17.8%1.123%1.12%1.366%1.37%-2.034055%-2.034055%-2.0%2.050%2.05%2.092%2.09%16.092403%16.092403%+16.1%9.288%9.29%8.000%8.00%24.061292%24.061292%+24.1%28.263%28.3%22.782%22.8%4.338886%4.338886%+4.3%11.453%11.5%10.976%11.0%-1.211870%-1.211870%-1.2%21.467%21.5%21.730%21.7%-18.164609%-18.164609%-18.2%21.013%21.0%25.677%25.7%-23.267837%-23.267837%-23.3%3.315%3.31%4.320%4.32%-27.400743%-27.400743%-27.4%1.421%1.42%1.957%1.96%-44.620993%-44.620993%-44.6%0.609%0.61%1.099%1.10%
% percentage with given level in Dakota County
ref. percentage with given level in Minnesota
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 Minnesota and Dakota County
More Females More Males
Minnesota
Dakota County
5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-7.094129%0.296509%0.296509%0%52.102%52.1%52.256%52.3%-0.407931%-0.407931%0%4.644972%42.563%42.6%42.390%42.4%0.345529%13.638813%0.345529%0%5.335%5.34%5.354%5.35%
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 Minnesota and Dakota County
More Females More Males
Minnesota
Dakota County
40%20%0%20%40%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None5.089613%46.084775%5.089613%5%1.096%1.10%1.152%1.15%57.196749%49.436197%57.196749%57%1.607%1.61%2.526%2.53%-9.179005%-22.131208%-9.179005%9%9.680%9.68%8.866%8.87%-6.225334%3.096281%3.096281%3%27.848%27.8%28.710%28.7%-7.897276%-14.436796%-7.897276%8%11.871%11.9%11.002%11.0%-5.046765%-1.393757%-5.046765%5%21.976%22.0%20.920%20.9%4.288342%10.026271%4.288342%4%20.587%20.6%21.470%21.5%6.931011%29.029778%6.931011%7%3.208%3.21%3.430%3.43%2.307979%5.463227%2.307979%2%1.405%1.41%1.438%1.44%-48.602379%-26.769029%-48.602379%49%0.723%0.72%0.486%0.49%
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 Minnesota and Dakota County
Dakota County
Minnesota
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3418.800016%15.674649%18.800016%18.8%9,39749,98450.0k27.509258%21.754200%27.509258%27.5%31,86731.9k115,841116k32.482085%26.172525%32.482085%32.5%17,76917.8k54,70454.7k34.275290%29.184434%34.275290%34.3%18,78818.8k54,81554.8k
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 Minnesota at large.
Scope: population of Minnesota and Dakota County
0%5%10%15%20%25%%ref.65+45-6435-4425-3419.938990%19.938990%19.9%18.800%18.8%15.675%15.7%26.454932%26.454932%26.5%27.509%27.5%21.754%21.8%24.107574%24.107574%24.1%32.482%32.5%26.173%26.2%17.443735%17.443735%17.4%34.275%34.3%29.184%29.2%
% percentage in Dakota County with a Bachelor's degree
ref percentage in Minnesota 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 Minnesota and Dakota County
More Females More Males
Minnesota
Dakota County
20%0%20%40%FM65+45-6435-4425-3451.198154%20.814223%51.198154%51.2%15.344%15.3%23.199%23.2%-6.871300%6.304735%6.304735%6.3%26.692%26.7%28.374%28.4%-4.946670%-16.463598%-4.946670%4.9%33.258%33.3%31.691%31.7%-21.864755%-19.935695%-21.864755%21.9%37.637%37.6%30.884%30.9%
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 Minnesota and Dakota County
Dakota County
Minnesota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$75,169.000000$68,001.000000$75,169.000000$75.2k34,30934.3k12.460%12.5%$58,179.000000$52,072.000000$58,179.000000$58.2k77,82177.8k28.263%28.3%$41,686.000000$36,939.000000$41,686.000000$41.7k90,64290.6k32.920%32.9%$34,145.000000$31,011.000000$34,145.000000$34.1k57,85757.9k21.013%21.0%$23,767.000000$22,379.000000$23,767.000000$23.8k14,71514.7k5.344%5.34%$46,753.000000$40,804.000000$46,753.000000$46.8k275,344275k100.000%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 Minnesota and Dakota County
Female Male
Minnesota
Dakota County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-65,749.000000$-60,699.000000$-65,749.000000$65.7k$65,749.000000$24,382.000000$60,699.000000$20,223.000000$90,131.000000$90.1k17,66917.7k16,64016.6k$-46,878.000000$-43,209.000000$-46,878.000000$46.9k$46,878.000000$25,082.000000$43,209.000000$20,301.000000$71,960.000000$72.0k39,73639.7k38,08538.1k$-36,042.000000$-30,960.000000$-36,042.000000$36.0k$36,042.000000$13,270.000000$30,960.000000$13,760.000000$49,312.000000$49.3k48,29648.3k42,34642.3k$-27,147.000000$-24,260.000000$-27,147.000000$27.1k$27,147.000000$13,372.000000$24,260.000000$12,346.000000$40,519.000000$40.5k29,37629.4k28,48128.5k$-17,153.000000$-17,131.000000$-17,153.000000$17.2k$17,153.000000$14,135.000000$17,131.000000$9,376.000000$31,288.000000$31.3k7,6137,102$-39,831.000000$-34,315.000000$-39,831.000000$39.8k$39,831.000000$14,922.000000$34,315.000000$12,949.000000$54,753.000000$54.8k142,690143k132,654133k
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 Minnesota and Dakota County
Dakota County
Minnesota
0%10%20%30%40%50%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma340.000000%35.183299%40.000000%40.0%7860.000000%56.313646%60.000000%60.0%1170.000000%0.000000%0.0%8.503055%00.000000%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 Minnesota and Dakota County
Dakota County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.461102%87.405591%88.461102%88.5%85,77185.8k83.692139%81.736852%83.692139%83.7%63,95064.0k77.456563%74.314958%77.456563%77.5%31,96432.0k68.907955%58.425001%68.907955%68.9%7,389
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 Minnesota and Dakota County
Female Male
Minnesota
Dakota County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-2.855117%-4.270697%-2.855117%2.9%2.855117%0.193903%4.270697%1.199676%3.049020%3.0%3,4163,463-5.628398%-9.815681%-15.996843%-5.794594%-15.444079%15.4%5.628398%15.996843%5.628398%5.6%352939-12.486865%-3.614453%-17.242336%-6.032412%-16.101318%16.1%12.486865%17.242336%12.486865%12.5%7131,087-31.082331%-32.943822%-31.082331%31.1%31.082331%5.627460%32.943822%5.005995%36.709791%36.7%2,4972,016-24.771000%-21.417113%-24.771000%24.8%24.771000%6.345485%21.417113%5.201726%31.116485%31.1%1,5441,271
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 Minnesota and Dakota County
Female Male
Minnesota
Dakota County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-42.107823%-34.661162%-1.797325%-42.107823%42.1%42.107823%1.104180%34.661162%43.212003%43.2%48,41348.4k51,07351.1k-20.888158%-18.524426%-20.888158%20.9%20.888158%6.758148%18.524426%2.990804%27.646306%27.6%1,7291,270-47.163383%-41.369118%-47.163383%47.2%47.163383%2.433815%41.369118%3.173947%49.597198%49.6%2,8323,184-18.038853%-15.584176%-2.395113%-18.038853%18.0%18.038853%1.675937%15.584176%19.714790%19.7%1,3411,170-17.896010%-2.840689%-17.924863%-3.708263%-20.736698%20.7%17.896010%17.924863%17.896010%17.9%8881,064
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Dakota County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
23%34%44%54%64%75%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
25%35%44%53%62%71%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.1%4.2%6.3%8.4%10.5%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.3%4.6%6.8%9.1%11.4%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.1%6.2%9.3%12.4%15.6%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.0%6.1%9.1%12.2%15.2%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
10%15%21%26%31%37%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
6.7%9.9%13.1%16.2%19.4%22.6%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
13.6%17.2%20.9%24.5%28.1%31.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11%19%26%33%40%47%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.7%3.3%5.0%6.7%8.4%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.4%3.2%4.0%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.29%0.57%0.86%1.14%1.44%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Dakota County

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

Percentage of the population 25 years and older with given highest level of educational attainment
27%37%46%55%65%74%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
23%31%39%47%55%63%

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
0.7%4.1%7.5%10.9%14.3%17.7%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.2%4.3%5.4%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.5%5.0%7.6%10.1%12.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.2%4.5%7.8%11.1%14.4%17.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11%18%25%32%38%46%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.0%9.0%11.8%14.7%17.6%20.5%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
10.8%15.4%19.9%24.4%28.9%33.4%

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
8%15%22%29%35%42%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.2%4.4%6.6%8.8%11.0%

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
0.0%2.0%3.9%5.9%7.9%9.9%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.1%2.8%3.5%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Dakota County

There are 21 places that are fully or partially contained within Dakota County (19 fully and 2 partially). This section compares all 21 of those to each other, Dakota County, and other entities that contain or substantially overlap with Dakota County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dakota County, selected places in Dakota County, and entities that contain Dakota County
0%5%10%Count#United States of AmericaUnited StatesWest St. PaulMidwestSouth St. PaulS St. PaulWest North CentralRandolphMendotaInver Grove HeightsInver Grv HtsMinnesotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisCoatesBurnsvilleVermillionHastingsNorthfieldHamptonDakota CountyDakotaNew TrierMiesvilleApple ValleyFarmingtonEaganRosemountLakevilleMendota HeightsMendota HtsLilydaleSunfish Lake13.020590%13.020590%13.0%27,818,38027.8M10.442611%10.442611%10.4%1,392110.244520%10.244520%10.2%4,641,8354.64M9.989540%9.989540%10.0%1,33729.174633%9.174633%9.2%1,278,0511.28M8.695652%8.695652%8.7%2438.333333%8.333333%8.3%1547.772967%7.772967%7.8%1,83157.376055%7.376055%7.4%270,121270k6.766618%6.766618%6.8%158,334158k6.306306%6.306306%6.3%766.224589%6.224589%6.2%2,57276.153846%6.153846%6.2%2086.110006%6.110006%6.1%95295.753009%5.753009%5.8%607105.630631%5.630631%5.6%25115.344224%5.344224%5.3%14,71514.7k5.263158%5.263158%5.3%4125.208333%5.208333%5.2%5134.998974%4.998974%5.0%1,705144.216911%4.216911%4.2%584153.667395%3.667395%3.7%1,646163.564652%3.564652%3.6%526173.487209%3.487209%3.5%1,325182.600191%2.600191%2.6%218190.792602%0.792602%0.8%6200.000000%0.000000%0.0%021
Count number of people in category
# rank of place out of 21 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dakota County, selected places in Dakota County, and entities that contain Dakota County
0%20%40%60%Count#Sunfish LakeMendota HeightsMendota HtsLilydaleEaganLakevilleNorthfieldRosemountApple ValleyDakota CountyDakotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisBurnsvilleFarmingtonInver Grove HeightsInver Grv HtsMinnesotaMendotaUnited States of AmericaUnited StatesWest North CentralMidwestWest St. PaulHastingsSouth St. PaulS St. PaulVermillionHamptonRandolphCoatesNew TrierMiesville67.640449%67.640449%67.6%301163.012882%63.012882%63.0%5,283261.030383%61.030383%61.0%462350.398824%50.398824%50.4%22,62022.6k448.278766%48.278766%48.3%18,34418.3k545.607051%45.607051%45.6%4,812644.076986%44.076986%44.1%6,504743.384056%43.384056%43.4%14,79714.8k840.723604%40.723604%40.7%112,130112k39.983752%39.983752%40.0%935,591936k38.511617%38.511617%38.5%15,91315.9k935.764315%35.764315%35.8%4,9531034.649346%34.649346%34.6%8,1621134.240609%34.240609%34.2%1,253,9371.25M31.111111%31.111111%31.1%561230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.372093%28.372093%28.4%3,7821328.059816%28.059816%28.1%4,3721424.043634%24.043634%24.0%3,2181520.615385%20.615385%20.6%671618.693694%18.693694%18.7%831716.666667%16.666667%16.7%461814.414414%14.414414%14.4%161913.157895%13.157895%13.2%102011.458333%11.458333%11.5%1121
Count number of people in category
# rank of place out of 21 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#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 Dakota County, selected places in Dakota County, and entities that contain Dakota County
0%5%10%15%20%Count#Sunfish LakeLilydaleMendota HeightsMendota HtsNorthfieldEaganMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisLakevilleMinnesotaUnited States of AmericaUnited StatesDakota CountyDakotaWest North CentralApple ValleyMidwestInver Grove HeightsInver Grv HtsWest St. PaulBurnsvilleMendotaRosemountHamptonSouth St. PaulS St. PaulVermillionFarmingtonHastingsRandolphCoatesMiesvilleNew Trier20.224719%20.224719%20.2%90114.002642%14.002642%14.0%106212.261450%12.261450%12.3%1,02837.970808%7.970808%8.0%84144.400428%4.400428%4.4%1,97553.980678%3.980678%4.0%93,14593.1k3.521423%3.521423%3.5%1,33863.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.172758%3.172758%3.2%8,7362.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,00972.893416%2.893416%2.9%1,311,0191.31M2.623535%2.623535%2.6%61882.505626%2.505626%2.5%33492.405615%2.405615%2.4%994102.222222%2.222222%2.2%4112.134725%2.134725%2.1%315121.801802%1.801802%1.8%8131.703527%1.703527%1.7%228141.538462%1.538462%1.5%5151.509134%1.509134%1.5%209161.123163%1.123163%1.1%175170.724638%0.724638%0.7%2180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%021
Count number of people in category
# rank of place out of 21 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 Place#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 Dakota County, selected places in Dakota County, and entities that contain Dakota County
Female
Male
0x5x10xFM#LilydaleMendotaHamptonNew TrierFarmingtonVermillionRandolphCoatesHastingsWest North CentralMinnesotaMidwestUnited StatesS St. PaulMinneapolisLakevilleDakotaRosemountBurnsvilleEaganWest St. PaulInver Grv HtsApple ValleyNorthfieldMendota HtsMiesville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.020%2.02%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.464%15.5%2-1.000000x-1.000000x3.891176x3.891176x3.89x2.116%2.12%8.235%8.24%3-1.000000x-1.000000x3.162162x3.162162x3.16x2.564%2.56%8.108%8.11%4-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%5-1.000000x-1.000000x1.665584x1.665584x1.67x4.678%4.68%7.792%7.79%6-1.000000x-1.000000x1.420438x1.420438x1.42x7.194%7.19%10.219%10.2%7-1.000000x-1.000000x1.354167x1.354167x1.35x5.128%5.13%6.944%6.94%8-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%9-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.075155x1.075155x1.08x9.653%9.65%10.378%10.4%10-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%11-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%12-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%13-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%14-1.087869x-1.087869x1.09x1.000000x1.000000x10.851%10.9%9.974%9.97%15-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%16-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%17-1.417390x-1.417390x1.42x1.000000x1.000000x6.655%6.65%4.695%4.70%18-1.887266x-1.887266x1.89x1.000000x1.000000x3.352%3.35%1.776%1.78%19-3.384615x-3.384615x3.38x1.000000x1.000000x7.692%7.69%2.273%2.27%20
F percentage of females in category
M percentage of males in category
# rank of place out of 20 by male-to-female sex ratio

Over-Education Sex Ratio by Place#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 Dakota County, selected places in Dakota County, and entities that contain Dakota County
Female
Male
10x5x0x5x10xFM#RandolphSunfish LakeRosemountMendota HtsWest St. PaulHastingsMidwestWest North CentralUnited StatesLilydaleMinnesotaNorthfieldMinneapolisInver Grv HtsEaganDakotaFarmingtonLakevilleS St. PaulApple ValleyBurnsvilleHamptonVermillionMendota-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.460%1.46%1-1.000000x-1.000000x2.935885x2.935885x2.94x10.593%10.6%31.100%31.1%2-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%3-1.000000x-1.000000x2.152997x2.152997x2.15x7.912%7.91%17.034%17.0%4-1.000000x-1.000000x2.129051x2.129051x2.13x1.642%1.64%3.497%3.50%5-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%6-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.491458x1.491458x1.49x11.739%11.7%17.508%17.5%7-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.464402x1.464402x1.46x6.567%6.57%9.617%9.62%8-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%9-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%10-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%11-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%12-1.000000x-1.000000x1.113724x1.113724x1.11x1.618%1.62%1.802%1.80%13-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%14-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%15-2.248677x-2.248677x2.25x1.000000x1.000000x2.646%2.65%1.176%1.18%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.924%2.92%0.000%0%17-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.819%4.82%0.000%0%18
F percentage of females in category
M percentage of males in category
# rank of place out of 18 by male-to-female sex ratio

Educational Attainment by County Subdivision in Dakota County

There are 34 county subdivisions in Dakota County. This section compares all 34 of those to each other, Dakota County, and other entities that contain or substantially overlap with Dakota County.

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 Dakota County, selected county subdivisions in Dakota County, and entities that contain Dakota County
0%5%10%Count#United States of AmericaUnited StatesWest St. PaulMidwestSouth St. PaulS St. PaulWest North CentralRandolphNininger TownshipNiningerMendotaInver Grove HeightsInver Grv HtsHampton TownshipHamptonMinnesotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisCoatesBurnsvilleVermillionHastingsCastle Rock TownshipCastle RockMarshan TownshipMarshanVermillion TownshipVermillionHamptonDakota CountyDakotaEmpire TownshipEmpireNew TrierMiesvilleWaterford TownshipWaterfordDouglas TownshipDouglasApple ValleyRandolph TownshipRandolphSciota TownshipSciotaFarmingtonEureka TownshipEurekaEaganRosemountLakevilleMendota HeightsMendota HtsGreenvale TownshipGreenvaleRavenna TownshipRavennaNorthfieldLilydaleSunfish Lake13.020590%13.020590%13.0%27,818,38027.8M10.442611%10.442611%10.4%1,392110.244520%10.244520%10.2%4,641,8354.64M9.989540%9.989540%10.0%1,33729.174633%9.174633%9.2%1,278,0511.28M8.695652%8.695652%8.7%2438.575581%8.575581%8.6%5948.333333%8.333333%8.3%1557.772967%7.772967%7.8%1,83167.725322%7.725322%7.7%5477.376055%7.376055%7.4%270,121270k6.766618%6.766618%6.8%158,334158k6.306306%6.306306%6.3%786.224589%6.224589%6.2%2,57296.153846%6.153846%6.2%20106.110006%6.110006%6.1%952115.982906%5.982906%6.0%56125.816832%5.816832%5.8%47135.741627%5.741627%5.7%48145.630631%5.630631%5.6%25155.344224%5.344224%5.3%14,71514.7k5.294118%5.294118%5.3%90165.263158%5.263158%5.3%4175.208333%5.208333%5.2%5185.128205%5.128205%5.1%18195.038760%5.038760%5.0%26204.998974%4.998974%5.0%1,705214.690832%4.690832%4.7%22224.304636%4.304636%4.3%13234.216911%4.216911%4.2%584243.959484%3.959484%4.0%43253.667395%3.667395%3.7%1,646263.564652%3.564652%3.6%526273.487209%3.487209%3.5%1,325282.600191%2.600191%2.6%218291.848429%1.848429%1.8%10301.600474%1.600474%1.6%27310.919540%0.919540%0.9%8320.792602%0.792602%0.8%6330.000000%0.000000%0.0%034
Count number of people in category
# rank of county subdivision out of 34 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 Dakota County, selected county subdivisions in Dakota County, and entities that contain Dakota County
0%20%40%60%Count#Sunfish LakeMendota HeightsMendota HtsLilydaleNorthfieldEaganLakevilleRosemountApple ValleyDakota CountyDakotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisBurnsvilleFarmingtonInver Grove HeightsInver Grv HtsMinnesotaMendotaUnited States of AmericaUnited StatesWest North CentralMidwestRandolph TownshipRandolphWest St. PaulHastingsEmpire TownshipEmpireEureka TownshipEurekaGreenvale TownshipGreenvaleNininger TownshipNiningerRavenna TownshipRavennaWaterford TownshipWaterfordSouth St. PaulS St. PaulCastle Rock TownshipCastle RockVermillion TownshipVermillionDouglas TownshipDouglasMarshan TownshipMarshanVermillionSciota TownshipSciotaHamptonHampton TownshipHamptonRandolphCoatesNew TrierMiesville67.640449%67.640449%67.6%301163.012882%63.012882%63.0%5,283261.030383%61.030383%61.0%462359.885057%59.885057%59.9%521450.398824%50.398824%50.4%22,62022.6k548.278766%48.278766%48.3%18,34418.3k644.076986%44.076986%44.1%6,504743.384056%43.384056%43.4%14,79714.8k840.723604%40.723604%40.7%112,130112k39.983752%39.983752%40.0%935,591936k38.511617%38.511617%38.5%15,91315.9k935.764315%35.764315%35.8%4,9531034.649346%34.649346%34.6%8,1621134.240609%34.240609%34.2%1,253,9371.25M31.111111%31.111111%31.1%561230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.784648%28.784648%28.8%1351328.372093%28.372093%28.4%3,7821428.059816%28.059816%28.1%4,3721527.411765%27.411765%27.4%4661627.163904%27.163904%27.2%2951726.617375%26.617375%26.6%1441825.726744%25.726744%25.7%1771925.607587%25.607587%25.6%4322024.501425%24.501425%24.5%862124.043634%24.043634%24.0%3,2182223.290598%23.290598%23.3%2182322.846890%22.846890%22.8%1912421.899225%21.899225%21.9%1132521.658416%21.658416%21.7%1752620.615385%20.615385%20.6%672719.536424%19.536424%19.5%592818.693694%18.693694%18.7%832916.881259%16.881259%16.9%1183016.666667%16.666667%16.7%463114.414414%14.414414%14.4%163213.157895%13.157895%13.2%103311.458333%11.458333%11.5%1134
Count number of people in category
# rank of county subdivision out of 34 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 Dakota County, selected county subdivisions in Dakota County, and entities that contain Dakota County
0%5%10%15%20%Count#Sunfish LakeLilydaleNorthfieldMendota HeightsMendota HtsEaganMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisLakevilleMinnesotaUnited States of AmericaUnited StatesDakota CountyDakotaWest North CentralApple ValleyMidwestInver Grove HeightsInver Grv HtsNininger TownshipNiningerRavenna TownshipRavennaRandolph TownshipRandolphWest St. PaulBurnsvilleSciota TownshipSciotaMendotaRosemountHamptonSouth St. PaulS St. PaulMarshan TownshipMarshanCastle Rock TownshipCastle RockHampton TownshipHamptonVermillion TownshipVermillionVermillionFarmingtonGreenvale TownshipGreenvaleEmpire TownshipEmpireDouglas TownshipDouglasWaterford TownshipWaterfordHastingsEureka TownshipEurekaRandolphCoatesMiesvilleNew Trier20.224719%20.224719%20.2%90114.002642%14.002642%14.0%106213.448276%13.448276%13.4%117312.261450%12.261450%12.3%1,02844.400428%4.400428%4.4%1,97553.980678%3.980678%4.0%93,14593.1k3.521423%3.521423%3.5%1,33863.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.172758%3.172758%3.2%8,7362.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,00972.893416%2.893416%2.9%1,311,0191.31M2.623535%2.623535%2.6%61882.616279%2.616279%2.6%1892.608180%2.608180%2.6%44102.558635%2.558635%2.6%12112.505626%2.505626%2.5%334122.405615%2.405615%2.4%994132.317881%2.317881%2.3%7142.222222%2.222222%2.2%4152.134725%2.134725%2.1%315161.801802%1.801802%1.8%8171.703527%1.703527%1.7%228181.608911%1.608911%1.6%13191.602564%1.602564%1.6%15201.573677%1.573677%1.6%11211.555024%1.555024%1.6%13221.538462%1.538462%1.5%5231.509134%1.509134%1.5%209241.478743%1.478743%1.5%8251.176471%1.176471%1.2%20261.162791%1.162791%1.2%6271.139601%1.139601%1.1%4281.123163%1.123163%1.1%175290.920810%0.920810%0.9%10300.724638%0.724638%0.7%2310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%034
Count number of people in category
# rank of county subdivision out of 34 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 Dakota County, selected county subdivisions in Dakota County, and entities that contain Dakota County
Female
Male
10x5x0x5x10xFM#LilydaleMendotaHamptonNew TrierEurekaCastle RockGreenvaleFarmingtonDouglasWaterfordMarshanVermillionHamptonRandolphEmpireCoatesHastingsNiningerRavennaWest North CentralMinnesotaMidwestUnited StatesS St. PaulMinneapolisLakevilleDakotaRosemountBurnsvilleEaganWest St. PaulInver Grv HtsApple ValleyVermillionSciotaRandolphMendota HtsMiesvilleNorthfield-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.020%2.02%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.464%15.5%2-1.000000x-1.000000x3.891176x3.891176x3.89x2.116%2.12%8.235%8.24%3-1.000000x-1.000000x3.162162x3.162162x3.16x2.564%2.56%8.108%8.11%4-1.000000x-1.000000x2.878966x2.878966x2.88x1.976%1.98%5.690%5.69%5-1.000000x-1.000000x2.489339x2.489339x2.49x3.426%3.43%8.529%8.53%6-1.000000x-1.000000x2.158956x2.158956x2.16x1.154%1.15%2.491%2.49%7-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%8-1.000000x-1.000000x1.896429x1.896429x1.90x3.390%3.39%6.429%6.43%9-1.000000x-1.000000x1.878453x1.878453x1.88x3.529%3.53%6.630%6.63%10-1.000000x-1.000000x1.757713x1.757713x1.76x4.110%4.11%7.223%7.22%11-1.000000x-1.000000x1.665584x1.665584x1.67x4.678%4.68%7.792%7.79%12-1.000000x-1.000000x1.600833x1.600833x1.60x5.900%5.90%9.444%9.44%13-1.000000x-1.000000x1.420438x1.420438x1.42x7.194%7.19%10.219%10.2%14-1.000000x-1.000000x1.386964x1.386964x1.39x4.391%4.39%6.091%6.09%15-1.000000x-1.000000x1.354167x1.354167x1.35x5.128%5.13%6.944%6.94%16-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%17-1.000000x-1.000000x1.182726x1.182726x1.18x7.902%7.90%9.346%9.35%18-1.000000x-1.000000x1.179435x1.179435x1.18x1.465%1.47%1.728%1.73%19-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.075155x1.075155x1.08x9.653%9.65%10.378%10.4%20-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%21-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%22-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%23-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%24-1.087869x-1.087869x1.09x1.000000x1.000000x10.851%10.9%9.974%9.97%25-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%26-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%27-1.145711x-1.145711x1.15x1.000000x1.000000x6.143%6.14%5.361%5.36%28-1.314554x-1.314554x1.31x1.000000x1.000000x4.930%4.93%3.750%3.75%29-1.475575x-1.475575x1.48x1.000000x1.000000x5.603%5.60%3.797%3.80%30-1.887266x-1.887266x1.89x1.000000x1.000000x3.352%3.35%1.776%1.78%31-3.384615x-3.384615x3.38x1.000000x1.000000x7.692%7.69%2.273%2.27%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.720%1.72%0.000%0%33
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 33 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 Dakota County, selected county subdivisions in Dakota County, and entities that contain Dakota County
Female
Male
10x5x0x5x10xFM#RandolphRandolphMarshanSunfish LakeGreenvaleRosemountNiningerMendota HtsWest St. PaulHastingsMidwestWest North CentralUnited StatesLilydaleMinnesotaMinneapolisInver Grv HtsNorthfieldEaganRavennaDakotaFarmingtonSciotaLakevilleS St. PaulApple ValleyBurnsvilleWaterfordDouglasVermillionEurekaHamptonHamptonEmpireCastle RockVermillionMendota-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.460%1.46%1-1.000000x-1.000000x4.894515x4.894515x4.89x0.862%0.86%4.219%4.22%2-1.000000x-1.000000x4.531603x4.531603x4.53x0.548%0.55%2.483%2.48%3-1.000000x-1.000000x2.935885x2.935885x2.94x10.593%10.6%31.100%31.1%4-1.000000x-1.000000x2.775801x2.775801x2.78x0.769%0.77%2.135%2.14%5-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%6-1.000000x-1.000000x2.286604x2.286604x2.29x1.635%1.63%3.738%3.74%7-1.000000x-1.000000x2.152997x2.152997x2.15x7.912%7.91%17.034%17.0%8-1.000000x-1.000000x2.129051x2.129051x2.13x1.642%1.64%3.497%3.50%9-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%10-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.491458x1.491458x1.49x11.739%11.7%17.508%17.5%11-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%12-1.000000x-1.000000x1.386443x1.386443x1.39x11.398%11.4%15.802%15.8%13-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%14-1.000000x-1.000000x1.362903x1.362903x1.36x2.198%2.20%2.995%3.00%15-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%16-1.000000x-1.000000x1.183333x1.183333x1.18x2.113%2.11%2.500%2.50%17-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%18-1.000000x-1.000000x1.113724x1.113724x1.11x1.618%1.62%1.802%1.80%19-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%20-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%21-1.064706x-1.064706x1.06x1.000000x1.000000x1.176%1.18%1.105%1.10%22-1.186441x-1.186441x1.19x1.000000x1.000000x1.271%1.27%1.071%1.07%23-1.229730x-1.229730x1.23x1.000000x1.000000x1.720%1.72%1.399%1.40%24-1.719368x-1.719368x1.72x1.000000x1.000000x1.186%1.19%0.690%0.69%25-1.858407x-1.858407x1.86x1.000000x1.000000x2.065%2.06%1.111%1.11%26-2.248677x-2.248677x2.25x1.000000x1.000000x2.646%2.65%1.176%1.18%27-3.398996x-3.398996x3.40x1.000000x1.000000x1.882%1.88%0.554%0.55%28-4.017131x-4.017131x4.02x1.000000x1.000000x2.570%2.57%0.640%0.64%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.924%2.92%0.000%0%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.819%4.82%0.000%0%31
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 31 by male-to-female sex ratio

Educational Attainment by County in the Minneapolis Area

There are 16 counties in the Minneapolis Area. This section compares Dakota County to all of the counties in the Minneapolis Area and to those entities that contain or substantially overlap with Dakota County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dakota County, selected other counties in the Minneapolis Area, and entities that contain Dakota County
0%5%10%Count#United States of AmericaUnited StatesSibley CountySibleyMidwestMille Lacs CountyMille LacsRamsey CountyRamseyLe Sueur CountyLe SueurWest North CentralIsanti CountyIsantiMinnesotaHennepin CountyHennepinMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisAnoka CountyAnokaChisago CountyChisagoWright CountyWrightSherburne CountySherburneDakota CountyDakotaPierce CountyPierceScott CountyScottCarver CountyCarverSt. Croix CountySt. CroixWashington CountyWashington13.020590%13.020590%13.0%27,818,38027.8M10.249902%10.249902%10.2%1,050110.244520%10.244520%10.2%4,641,8354.64M10.124655%10.124655%10.1%1,79529.707847%9.707847%9.7%33,97334.0k39.236394%9.236394%9.2%1,74349.174633%9.174633%9.2%1,278,0511.28M8.835464%8.835464%8.8%2,30857.376055%7.376055%7.4%270,121270k7.173605%7.173605%7.2%59,66059.7k66.766618%6.766618%6.8%158,334158k6.524509%6.524509%6.5%15,00215.0k76.245958%6.245958%6.2%2,31885.768514%5.768514%5.8%4,79995.536456%5.536456%5.5%3,237105.344224%5.344224%5.3%14,71514.7k115.314614%5.314614%5.3%1,359125.103301%5.103301%5.1%4,545134.267072%4.267072%4.3%2,665144.242959%4.242959%4.2%2,454154.033635%4.033635%4.0%6,71116
Count number of people in category
# rank of county out of 16 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dakota County, selected other counties in the Minneapolis Area, and entities that contain Dakota County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonRamsey CountyRamseyDakota CountyDakotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisScott CountyScottMinnesotaSt. Croix CountySt. CroixUnited States of AmericaUnited StatesWest North CentralMidwestAnoka CountyAnokaPierce CountyPierceWright CountyWrightSherburne CountySherburneChisago CountyChisagoLe Sueur CountyLe SueurIsanti CountyIsantiSibley CountySibleyMille Lacs CountyMille Lacs47.581343%47.581343%47.6%395,715396k146.042751%46.042751%46.0%28,75628.8k242.301173%42.301173%42.3%70,37970.4k341.002246%41.002246%41.0%143,489143k440.723604%40.723604%40.7%112,130112k539.983752%39.983752%40.0%935,591936k38.846845%38.846845%38.8%34,59734.6k634.240609%34.240609%34.2%1,253,9371.25M33.399035%33.399035%33.4%19,31719.3k730.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.225614%28.225614%28.2%64,90064.9k827.816667%27.816667%27.8%7,113926.760665%26.760665%26.8%22,26322.3k1026.715925%26.715925%26.7%15,62015.6k1122.030610%22.030610%22.0%8,1761221.366117%21.366117%21.4%4,0321317.690070%17.690070%17.7%4,6211416.731745%16.731745%16.7%1,7141515.618478%15.618478%15.6%2,76916
Count number of people in category
# rank of county out of 16 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#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 Dakota County, selected other counties in the Minneapolis Area, and entities that contain Dakota County
0%1%2%3%4%5%Count#Ramsey CountyRamseyHennepin CountyHennepinWashington CountyWashingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisMinnesotaUnited States of AmericaUnited StatesDakota CountyDakotaWest North CentralMidwestCarver CountyCarverSt. Croix CountySt. CroixScott CountyScottWright CountyWrightPierce CountyPierceAnoka CountyAnokaChisago CountyChisagoSherburne CountySherburneLe Sueur CountyLe SueurSibley CountySibleyIsanti CountyIsantiMille Lacs CountyMille Lacs5.718752%5.718752%5.7%20,01320.0k15.193709%5.193709%5.2%43,19443.2k24.495240%4.495240%4.5%7,47933.980678%3.980678%4.0%93,14593.1k3.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.172758%3.172758%3.2%8,73642.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.826035%2.826035%2.8%1,76552.636720%2.636720%2.6%1,52562.107568%2.107568%2.1%1,87771.852319%1.852319%1.9%1,54181.849752%1.849752%1.8%47391.760513%1.760513%1.8%4,048101.681397%1.681397%1.7%624111.655635%1.655635%1.7%968121.626835%1.626835%1.6%307131.561890%1.561890%1.6%160141.002986%1.002986%1.0%262150.975802%0.975802%1.0%17316
Count number of people in category
# rank of county out of 16 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#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 Dakota County, selected other counties in the Minneapolis Area, and entities that contain Dakota County
Female
Male
1x0x1xFM#SherburneChisagoPierceMille LacsWrightIsantiCarverAnokaLe SueurSibleyWest North CentralMinnesotaMidwestScottUnited StatesWashingtonMinneapolisSt. CroixRamseyDakotaHennepin-1.000000x-1.000000x1.854741x1.854741x1.85x3.863%3.86%7.165%7.17%1-1.000000x-1.000000x1.772080x1.772080x1.77x4.473%4.47%7.927%7.93%2-1.000000x-1.000000x1.493476x1.493476x1.49x4.256%4.26%6.357%6.36%3-1.000000x-1.000000x1.369736x1.369736x1.37x8.563%8.56%11.728%11.7%4-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%5-1.000000x-1.000000x1.308424x1.308424x1.31x7.652%7.65%10.011%10.0%6-1.000000x-1.000000x1.261501x1.261501x1.26x3.783%3.78%4.772%4.77%7-1.000000x-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%8-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%9-1.000000x-1.000000x1.182655x1.182655x1.18x9.395%9.40%11.111%11.1%10-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.117122x1.117122x1.12x4.825%4.83%5.390%5.39%11-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%12-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.019047x1.019047x1.02x4.203%4.20%4.283%4.28%13-1.000000x-1.000000x1.006778x1.006778x1.01x9.677%9.68%9.742%9.74%14-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%15-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%16
F percentage of females in category
M percentage of males in category
# rank of county out of 16 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 Dakota County, selected other counties in the Minneapolis Area, and entities that contain Dakota County
Female
Male
1x0x1x2xFM#SibleySt. CroixWashingtonMidwestWest North CentralWrightMille LacsUnited StatesAnokaRamseyMinnesotaMinneapolisHennepinPierceScottDakotaCarverIsantiChisagoSherburneLe Sueur-1.000000x-1.000000x2.830445x2.830445x2.83x0.817%0.82%2.312%2.31%1-1.000000x-1.000000x1.774639x1.774639x1.77x1.907%1.91%3.384%3.38%2-1.000000x-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%3-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%4-1.000000x-1.000000x1.547391x1.547391x1.55x0.768%0.77%1.189%1.19%5-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523149x1.523149x1.52x1.399%1.40%2.131%2.13%6-1.000000x-1.000000x1.500145x1.500145x1.50x4.618%4.62%6.928%6.93%7-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%8-1.000000x-1.000000x1.403843x1.403843x1.40x1.537%1.54%2.158%2.16%9-1.000000x-1.000000x1.366530x1.366530x1.37x1.785%1.79%2.440%2.44%10-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%11-1.000000x-1.000000x1.325915x1.325915x1.33x2.437%2.44%3.232%3.23%12-1.000000x-1.000000x1.309730x1.309730x1.31x0.868%0.87%1.137%1.14%13-1.000000x-1.000000x1.251393x1.251393x1.25x1.489%1.49%1.864%1.86%14-1.000000x-1.000000x1.207534x1.207534x1.21x1.498%1.50%1.809%1.81%15-1.000000x-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%16
F percentage of females in category
M percentage of males in category
# rank of county out of 16 by male-to-female sex ratio

Educational Attainment by County in Minnesota

There are 87 counties in Minnesota. This section compares Dakota County to the 50 most populous counties in Minnesota and to those entities that contain or substantially overlap with Dakota County. The least populous of the compared counties has a population of 19,034.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dakota County, selected other counties in Minnesota, and entities that contain Dakota County
0%5%10%15%20%Count#Nobles CountyNoblesMower CountyMowerUnited States of AmericaUnited StatesTodd CountyToddKandiyohi CountyKandiyohiFreeborn CountyFreebornPine CountyPineMorrison CountyMorrisonMidwestMille Lacs CountyMille LacsRice CountyRiceMartin CountyMartinBeltrami CountyBeltramiRamsey CountyRamseyLe Sueur CountyLe SueurFillmore CountyFillmoreWest North CentralPolk CountyPolkMcLeod CountyMcLeodBrown CountyBrownIsanti CountyIsantiCass CountyCassOtter Tail CountyOtter TailMeeker CountyMeekerWaseca CountyWasecaHubbard CountyHubbardStearns CountyStearnsBenton CountyBentonSteele CountySteeleLyon CountyLyonBecker CountyBeckerWinona CountyWinonaMinnesotaHennepin CountyHennepinWabasha CountyWabashaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisGoodhue CountyGoodhueItasca CountyItascaAnoka CountyAnokaCrow Wing CountyCrow WingSt. Louis CountySt. LouisNicollet CountyNicolletChisago CountyChisagoBlue Earth CountyBlue EarthCarlton CountyCarltonWright CountyWrightDodge CountyDodgeOlmsted CountyOlmstedClay CountyClaySherburne CountySherburneDakota CountyDakotaDouglas CountyDouglasScott CountyScottCarver CountyCarverWashington CountyWashington22.731505%22.731505%22.7%3,174113.044972%13.044972%13.0%3,417213.020590%13.020590%13.0%27,818,38027.8M12.206884%12.206884%12.2%2,025311.767175%11.767175%11.8%3,364411.054220%11.054220%11.1%2,418510.945959%10.945959%10.9%2,305610.644208%10.644208%10.6%2,414710.244520%10.244520%10.2%4,641,8354.64M10.124655%10.124655%10.1%1,79589.946485%9.946485%9.9%4,08999.891183%9.891183%9.9%1,418109.774955%9.774955%9.8%2,693119.707847%9.707847%9.7%33,97334.0k129.236394%9.236394%9.2%1,743139.222022%9.222022%9.2%1,330149.174633%9.174633%9.2%1,278,0511.28M8.927976%8.927976%8.9%1,873158.891768%8.891768%8.9%2,196168.865861%8.865861%8.9%1,540178.835464%8.835464%8.8%2,308188.654264%8.654264%8.7%1,791198.273548%8.273548%8.3%3,402208.048889%8.048889%8.0%1,271218.045278%8.045278%8.0%1,059227.967382%7.967382%8.0%1,192237.919702%7.919702%7.9%7,480247.742738%7.742738%7.7%2,055257.613152%7.613152%7.6%1,857267.605788%7.605788%7.6%1,251277.576089%7.576089%7.6%1,730287.495972%7.495972%7.5%2,326297.376055%7.376055%7.4%270,121270k7.173605%7.173605%7.2%59,66059.7k306.811536%6.811536%6.8%1,025316.766618%6.766618%6.8%158,334158k6.738113%6.738113%6.7%2,188326.702965%6.702965%6.7%2,179336.524509%6.524509%6.5%15,00215.0k346.519258%6.519258%6.5%2,913356.493917%6.493917%6.5%8,834366.438108%6.438108%6.4%1,384376.245958%6.245958%6.2%2,318385.782358%5.782358%5.8%2,194395.780300%5.780300%5.8%1,426405.768514%5.768514%5.8%4,799415.739196%5.739196%5.7%757425.720978%5.720978%5.7%5,789435.586350%5.586350%5.6%2,066445.536456%5.536456%5.5%3,237455.344224%5.344224%5.3%14,71514.7k465.162101%5.162101%5.2%1,355475.103301%5.103301%5.1%4,545484.267072%4.267072%4.3%2,665494.033635%4.033635%4.0%6,71150
Count number of people in category
# rank of county 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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dakota County, selected other counties in Minnesota, and entities that contain Dakota County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonOlmsted CountyOlmstedRamsey CountyRamseyDakota CountyDakotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisScott CountyScottMinnesotaClay CountyClayNicollet CountyNicolletBlue Earth CountyBlue EarthUnited States of AmericaUnited StatesWest North CentralWinona CountyWinonaMidwestAnoka CountyAnokaSt. Louis CountySt. LouisRice CountyRiceBeltrami CountyBeltramiLyon CountyLyonWright CountyWrightSherburne CountySherburneStearns CountyStearnsHubbard CountyHubbardDouglas CountyDouglasSteele CountySteeleGoodhue CountyGoodhueCrow Wing CountyCrow WingOtter Tail CountyOtter TailPolk CountyPolkDodge CountyDodgeBecker CountyBeckerKandiyohi CountyKandiyohiItasca CountyItascaBenton CountyBentonChisago CountyChisagoCarlton CountyCarltonLe Sueur CountyLe SueurWabasha CountyWabashaBrown CountyBrownCass CountyCassFillmore CountyFillmoreMower CountyMowerWaseca CountyWasecaMeeker CountyMeekerMartin CountyMartinIsanti CountyIsantiMcLeod CountyMcLeodFreeborn CountyFreebornMorrison CountyMorrisonMille Lacs CountyMille LacsTodd CountyToddPine CountyPineNobles CountyNobles47.581343%47.581343%47.6%395,715396k146.042751%46.042751%46.0%28,75628.8k242.301173%42.301173%42.3%70,37970.4k341.992707%41.992707%42.0%42,49242.5k441.002246%41.002246%41.0%143,489143k540.723604%40.723604%40.7%112,130112k639.983752%39.983752%40.0%935,591936k38.846845%38.846845%38.8%34,59734.6k734.240609%34.240609%34.2%1,253,9371.25M33.009761%33.009761%33.0%12,20812.2k832.260315%32.260315%32.3%6,935931.663284%31.663284%31.7%12,01412.0k1030.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.278118%29.278118%29.3%9,0851128.952816%28.952816%29.0%13,118,64213.1M28.225614%28.225614%28.2%64,90064.9k1227.750211%27.750211%27.8%37,75037.8k1327.231817%27.231817%27.2%11,19511.2k1426.798548%26.798548%26.8%7,3831526.775292%26.775292%26.8%4,4041626.760665%26.760665%26.8%22,26322.3k1726.715925%26.715925%26.7%15,62015.6k1825.948670%25.948670%25.9%24,50824.5k1925.392688%25.392688%25.4%3,7992025.056193%25.056193%25.1%6,5772124.786815%24.786815%24.8%6,0462224.347130%24.347130%24.3%7,9062324.190408%24.190408%24.2%10,80910.8k2424.057005%24.057005%24.1%9,8922523.871491%23.871491%23.9%5,0082623.836240%23.836240%23.8%3,1442723.726735%23.726735%23.7%5,4182822.516440%22.516440%22.5%6,4372922.256060%22.256060%22.3%7,2353022.207151%22.207151%22.2%5,8943122.030610%22.030610%22.0%8,1763221.986218%21.986218%22.0%5,4243321.366117%21.366117%21.4%4,0323421.238703%21.238703%21.2%3,1963520.892343%20.892343%20.9%3,6293620.869775%20.869775%20.9%4,3193720.399390%20.399390%20.4%2,9423820.004581%20.004581%20.0%5,2403919.858695%19.858695%19.9%2,6144018.896840%18.896840%18.9%2,9844118.470982%18.470982%18.5%2,6484217.690070%17.690070%17.7%4,6214317.313844%17.313844%17.3%4,2764416.755052%16.755052%16.8%3,6654516.151506%16.151506%16.2%3,6634615.618478%15.618478%15.6%2,7694715.353548%15.353548%15.4%2,5474813.780986%13.780986%13.8%2,9024913.507126%13.507126%13.5%1,88650
Count number of people in category
# rank of county 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#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 Dakota County, selected other counties in Minnesota, and entities that contain Dakota County
0%2%4%6%Count#Olmsted CountyOlmstedRamsey CountyRamseyHennepin CountyHennepinWashington CountyWashingtonNicollet CountyNicolletMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisMinnesotaBeltrami CountyBeltramiRice CountyRiceUnited States of AmericaUnited StatesBlue Earth CountyBlue EarthDakota CountyDakotaWinona CountyWinonaWest North CentralMidwestCarver CountyCarverSt. Louis CountySt. LouisStearns CountyStearnsKandiyohi CountyKandiyohiLyon CountyLyonBecker CountyBeckerCrow Wing CountyCrow WingHubbard CountyHubbardClay CountyClayDouglas CountyDouglasMower CountyMowerOtter Tail CountyOtter TailBrown CountyBrownScott CountyScottGoodhue CountyGoodhueWright CountyWrightItasca CountyItascaPolk CountyPolkWabasha CountyWabashaAnoka CountyAnokaBenton CountyBentonChisago CountyChisagoSherburne CountySherburneLe Sueur CountyLe SueurCass CountyCassSteele CountySteeleMeeker CountyMeekerFillmore CountyFillmoreFreeborn CountyFreebornDodge CountyDodgeMcLeod CountyMcLeodNobles CountyNoblesMartin CountyMartinMorrison CountyMorrisonCarlton CountyCarltonWaseca CountyWasecaIsanti CountyIsantiMille Lacs CountyMille LacsTodd CountyToddPine CountyPine7.785431%7.785431%7.8%7,87815.718752%5.718752%5.7%20,01320.0k25.193709%5.193709%5.2%43,19443.2k34.495240%4.495240%4.5%7,47944.033121%4.033121%4.0%86753.980678%3.980678%4.0%93,14593.1k3.458748%3.458748%3.5%126,664127k3.419238%3.419238%3.4%94263.371442%3.371442%3.4%1,38673.336158%3.336158%3.3%7,127,6737.13M3.326042%3.326042%3.3%1,26283.172758%3.172758%3.2%8,73693.074444%3.074444%3.1%954102.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.826035%2.826035%2.8%1,765112.813982%2.813982%2.8%3,828122.795189%2.795189%2.8%2,640132.529033%2.529033%2.5%723142.504864%2.504864%2.5%412152.465513%2.465513%2.5%563162.394647%2.394647%2.4%1,070172.359468%2.359468%2.4%353182.198307%2.198307%2.2%813192.179131%2.179131%2.2%572202.176071%2.176071%2.2%570212.164450%2.164450%2.2%890222.158895%2.158895%2.2%375232.107568%2.107568%2.1%1,877241.970929%1.970929%2.0%640251.852319%1.852319%1.9%1,541261.818014%1.818014%1.8%591271.811335%1.811335%1.8%380281.774322%1.774322%1.8%267291.760513%1.760513%1.8%4,048301.703026%1.703026%1.7%452311.681397%1.681397%1.7%624321.655635%1.655635%1.7%968331.626835%1.626835%1.6%307341.589756%1.589756%1.6%329351.484093%1.484093%1.5%362361.424862%1.424862%1.4%225371.393704%1.393704%1.4%201381.371491%1.371491%1.4%300391.349507%1.349507%1.3%178401.319998%1.319998%1.3%326411.310607%1.310607%1.3%183421.283482%1.283482%1.3%184431.230213%1.230213%1.2%279441.171463%1.171463%1.2%289451.086378%1.086378%1.1%143461.002986%1.002986%1.0%262470.975802%0.975802%1.0%173480.916270%0.916270%0.9%152490.797797%0.797797%0.8%16850
Count number of people in category
# rank of county 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#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 Dakota County, selected other counties in Minnesota, and entities that contain Dakota County
Female
Male
1x0x1xFM#SherburneChisagoClayGoodhueBeckerBeltramiToddItascaSteeleWasecaHubbardWabashaMille LacsMowerPineMeekerNicolletWrightIsantiDouglasFreebornMartinNoblesCarltonCarverCassFillmoreRiceMcLeodWinonaMorrisonCrow WingAnokaKandiyohiDodgeLe SueurOtter TailWest North CentralMinnesotaMidwestScottBlue EarthUnited StatesStearnsSt. LouisWashingtonMinneapolisBentonOlmstedPolkRamseyDakotaHennepinLyonBrown-1.000000x-1.000000x1.854741x1.854741x1.85x3.863%3.86%7.165%7.17%1-1.000000x-1.000000x1.772080x1.772080x1.77x4.473%4.47%7.927%7.93%2-1.000000x-1.000000x1.572235x1.572235x1.57x4.356%4.36%6.849%6.85%3-1.000000x-1.000000x1.556218x1.556218x1.56x5.302%5.30%8.251%8.25%4-1.000000x-1.000000x1.516852x1.516852x1.52x6.023%6.02%9.136%9.14%5-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%6-1.000000x-1.000000x1.488318x1.488318x1.49x9.782%9.78%14.559%14.6%7-1.000000x-1.000000x1.485888x1.485888x1.49x5.397%5.40%8.020%8.02%8-1.000000x-1.000000x1.468955x1.468955x1.47x6.194%6.19%9.099%9.10%9-1.000000x-1.000000x1.429519x1.429519x1.43x6.696%6.70%9.572%9.57%10-1.000000x-1.000000x1.404540x1.404540x1.40x6.627%6.63%9.309%9.31%11-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%12-1.000000x-1.000000x1.369736x1.369736x1.37x8.563%8.56%11.728%11.7%13-1.000000x-1.000000x1.335628x1.335628x1.34x11.205%11.2%14.966%15.0%14-1.000000x-1.000000x1.332015x1.332015x1.33x9.296%9.30%12.382%12.4%15-1.000000x-1.000000x1.329371x1.329371x1.33x6.907%6.91%9.181%9.18%16-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%17-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%18-1.000000x-1.000000x1.308424x1.308424x1.31x7.652%7.65%10.011%10.0%19-1.000000x-1.000000x1.303635x1.303635x1.30x4.496%4.50%5.861%5.86%20-1.000000x-1.000000x1.288121x1.288121x1.29x9.679%9.68%12.468%12.5%21-1.000000x-1.000000x1.277833x1.277833x1.28x8.705%8.71%11.124%11.1%22-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%23-1.000000x-1.000000x1.269162x1.269162x1.27x5.075%5.08%6.441%6.44%24-1.000000x-1.000000x1.261501x1.261501x1.26x3.783%3.78%4.772%4.77%25-1.000000x-1.000000x1.246667x1.246667x1.25x7.695%7.70%9.593%9.59%26-1.000000x-1.000000x1.218895x1.218895x1.22x8.324%8.32%10.146%10.1%27-1.000000x-1.000000x1.216255x1.216255x1.22x8.956%8.96%10.893%10.9%28-1.000000x-1.000000x1.212928x1.212928x1.21x8.054%8.05%9.769%9.77%29-1.000000x-1.000000x1.208433x1.208433x1.21x6.792%6.79%8.208%8.21%30-1.000000x-1.000000x1.202863x1.202863x1.20x9.663%9.66%11.623%11.6%31-1.000000x-1.000000x1.200288x1.200288x1.20x5.934%5.93%7.123%7.12%32-1.000000x-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%33-1.000000x-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%34-1.000000x-1.000000x1.195088x1.195088x1.20x5.231%5.23%6.251%6.25%35-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%36-1.000000x-1.000000x1.180118x1.180118x1.18x7.597%7.60%8.966%8.97%37-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.117122x1.117122x1.12x4.825%4.83%5.390%5.39%38-1.000000x-1.000000x1.109674x1.109674x1.11x5.482%5.48%6.083%6.08%39-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099862x1.099862x1.10x7.542%7.54%8.295%8.30%40-1.000000x-1.000000x1.089583x1.089583x1.09x6.217%6.22%6.774%6.77%41-1.000000x-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%42-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.064444x1.064444x1.06x7.501%7.50%7.984%7.98%43-1.000000x-1.000000x1.055151x1.055151x1.06x5.573%5.57%5.880%5.88%44-1.000000x-1.000000x1.022657x1.022657x1.02x8.829%8.83%9.029%9.03%45-1.000000x-1.000000x1.006778x1.006778x1.01x9.677%9.68%9.742%9.74%46-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%47-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%48-1.046342x-1.046342x1.05x1.000000x1.000000x7.775%7.78%7.431%7.43%49-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 Dakota County, selected other counties in Minnesota, and entities that contain Dakota County
Female
Male
1x0x1x2x3xFM#MartinOtter TailMeekerKandiyohiCassBrownWasecaWinonaPolkDouglasFillmoreBeckerOlmstedWabashaNoblesSteeleWashingtonClayFreebornBlue EarthMowerMidwestHubbardWest North CentralWrightGoodhueMille LacsUnited StatesAnokaRamseyPineSt. LouisCrow WingMinnesotaBentonMinneapolisHennepinStearnsItascaScottDakotaLyonCarverIsantiToddNicolletChisagoBeltramiRiceSherburneMcLeodLe SueurDodgeMorrisonCarlton-1.000000x-1.000000x3.306737x3.306737x3.31x0.602%0.60%1.991%1.99%1-1.000000x-1.000000x2.679076x2.679076x2.68x1.183%1.18%3.169%3.17%2-1.000000x-1.000000x2.440738x2.440738x2.44x0.827%0.83%2.018%2.02%3-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%4-1.000000x-1.000000x2.412505x2.412505x2.41x0.928%0.93%2.238%2.24%5-1.000000x-1.000000x2.394887x2.394887x2.39x1.287%1.29%3.082%3.08%6-1.000000x-1.000000x2.312181x2.312181x2.31x0.672%0.67%1.555%1.55%7-1.000000x-1.000000x2.216484x2.216484x2.22x1.916%1.92%4.247%4.25%8-1.000000x-1.000000x2.203958x2.203958x2.20x1.134%1.13%2.500%2.50%9-1.000000x-1.000000x2.124662x2.124662x2.12x1.407%1.41%2.989%2.99%10-1.000000x-1.000000x2.105903x2.105903x2.11x0.902%0.90%1.900%1.90%11-1.000000x-1.000000x1.822168x1.822168x1.82x1.748%1.75%3.186%3.19%12-1.000000x-1.000000x1.681240x1.681240x1.68x5.861%5.86%9.854%9.85%13-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%14-1.000000x-1.000000x1.662747x1.662747x1.66x0.977%0.98%1.624%1.62%15-1.000000x-1.000000x1.661053x1.661053x1.66x1.122%1.12%1.864%1.86%16-1.000000x-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%17-1.000000x-1.000000x1.639544x1.639544x1.64x1.671%1.67%2.740%2.74%18-1.000000x-1.000000x1.630023x1.630023x1.63x1.046%1.05%1.706%1.71%19-1.000000x-1.000000x1.629253x1.629253x1.63x2.530%2.53%4.122%4.12%20-1.000000x-1.000000x1.612378x1.612378x1.61x1.674%1.67%2.700%2.70%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.578118x1.578118x1.58x1.831%1.83%2.889%2.89%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%23-1.000000x-1.000000x1.569228x1.569228x1.57x1.543%1.54%2.421%2.42%24-1.000000x-1.000000x1.547391x1.547391x1.55x0.768%0.77%1.189%1.19%25-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523149x1.523149x1.52x1.399%1.40%2.131%2.13%26-1.000000x-1.000000x1.500145x1.500145x1.50x4.618%4.62%6.928%6.93%27-1.000000x-1.000000x1.488261x1.488261x1.49x0.633%0.63%0.942%0.94%28-1.000000x-1.000000x1.487208x1.487208x1.49x2.265%2.26%3.368%3.37%29-1.000000x-1.000000x1.483973x1.483973x1.48x1.934%1.93%2.870%2.87%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.468727x1.468727x1.47x1.380%1.38%2.026%2.03%31-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%32-1.000000x-1.000000x1.391736x1.391736x1.39x2.337%2.34%3.252%3.25%33-1.000000x-1.000000x1.385205x1.385205x1.39x1.525%1.53%2.113%2.11%34-1.000000x-1.000000x1.366530x1.366530x1.37x1.785%1.79%2.440%2.44%35-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%36-1.000000x-1.000000x1.345451x1.345451x1.35x2.141%2.14%2.881%2.88%37-1.000000x-1.000000x1.325915x1.325915x1.33x2.437%2.44%3.232%3.23%38-1.000000x-1.000000x1.309730x1.309730x1.31x0.868%0.87%1.137%1.14%39-1.000000x-1.000000x1.298249x1.298249x1.30x0.796%0.80%1.033%1.03%40-1.000000x-1.000000x1.271055x1.271055x1.27x3.549%3.55%4.511%4.51%41-1.000000x-1.000000x1.251393x1.251393x1.25x1.489%1.49%1.864%1.86%42-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%43-1.000000x-1.000000x1.248003x1.248003x1.25x2.992%2.99%3.734%3.73%44-1.000000x-1.000000x1.207534x1.207534x1.21x1.498%1.50%1.809%1.81%45-1.000000x-1.000000x1.199895x1.199895x1.20x1.203%1.20%1.443%1.44%46-1.000000x-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%47-1.000000x-1.000000x1.028949x1.028949x1.03x1.330%1.33%1.369%1.37%48-1.253864x-1.253864x1.25x1.000000x1.000000x1.369%1.37%1.092%1.09%49-1.954634x-1.954634x1.95x1.000000x1.000000x1.566%1.57%0.801%0.80%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Dakota County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Dakota County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dakota County, selected other counties in the United States, and entities that contain Dakota County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinWest North CentralNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMinnesotaMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisOakland CountyOaklandAllegheny CountyAlleghenyDakota CountyDakota28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.174633%9.174633%9.2%1,278,0511.28M9.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.376055%7.376055%7.4%270,121270k7.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.766618%6.766618%6.8%158,334158k6.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k505.344224%5.344224%5.3%14,71514.7k
Count number of people in category
# rank of county 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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dakota County, selected other counties in the United States, and entities that contain Dakota County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisDakota CountyDakotaContra Costa CountyContra CostaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkMinnesotaPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisWest North CentralMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.723604%40.723604%40.7%112,130112k40.269631%40.269631%40.3%303,182303k1839.983752%39.983752%40.0%935,591936k39.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.240609%34.240609%34.2%1,253,9371.25M34.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3830.056536%30.056536%30.1%4,186,9564.19M29.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county 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#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 Dakota County, selected other counties in the United States, and entities that contain Dakota County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughMinnesotaKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoDakota CountyDakotaMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.980678%3.980678%4.0%93,14593.1k3.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.458748%3.458748%3.5%126,664127k3.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.172758%3.172758%3.2%8,7363.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county 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#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 Dakota County, selected other counties in the United States, and entities that contain Dakota County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralMinnesotaHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisMinneapolisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarDakotaPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 Dakota County, selected other counties in the United States, and entities that contain Dakota County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoMinnesotaOrangeFresnoHillsboroughHarrisMinneapolisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexDakotaKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

For additional information about the data presented on this site, including our sources, please see the About Page.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Principal Cities:
Eagan, Northfield
Cities:
Apple Valley, Burnsville, Coates, Eagan, Farmington, Hampton, Hastings, Inver Grove Heights, Lakeville, Lilydale, Mendota, Mendota Heights, Miesville, New Trier, Northfield, Randolph, Rosemount, South St. Paul, Sunfish Lake, Vermillion, West St. Paul
Townships:
Castle Rock, Douglas, Empire, Eureka, Greenvale, Hampton, Marshan, Nininger, Randolph, Ravenna, Sciota, Vermillion, Waterford
ZIP Codes:
55009, 55024, 55031, 55033, 55044, 55057, 55065, 55068, 55075, 55076, 55077, 55085, 55089, 55118, 55120, 55121, 55122, 55123, 55124, 55150, 55306, 55337
Unified School Districts:
Burnsville, Cannon Falls, Farmington, Hastings, Inver Grove Heights, Lakeville, Northfield, Randolph, Rosemount-Apple Valley-Eagan, South St. Paul, West St. Paul-Mendota Heights-Eagan
Congressional District:
MN-2
State Senate Districts:
MN-51, MN-52, MN-54, MN-56, MN-57, MN-58
State House Districts:
MN-51A, MN-51B, MN-52A, MN-52B, MN-54A, MN-54B, MN-56A, MN-56B, MN-57A, MN-57B, MN-58A, MN-58B
Neighboring Counties:
Goodhue, Hennepin, Pierce, Ramsey, Rice, Scott, Washington
Nearby Counties:
Anoka, Carver, Chisago, Dodge, Le Sueur, Olmsted, St. Croix, Steele, Wabasha, Waseca