Educational Attainment in Anoka County, Minnesota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Minnesota and Anoka County
Anoka County
Minnesota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma241.037607%45.216942%41.037607%41.0%94,35994.4k52.437884%47.407004%52.437884%52.4%120,572121k6.524509%7.376055%6.524509%6.5%15,00215.0k
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 Anoka County
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-9.242852%-9.242852%-9.2%41.038%41.0%45.217%45.2%10.612104%10.612104%+10.6%52.438%52.4%47.407%47.4%-11.544725%-11.544725%-11.5%6.525%6.52%7.376%7.38%
% percentage with given level in Anoka 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 Anoka County
Anoka County
Minnesota
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.695855%1.366389%0.695855%0.7%1,6001.064658%2.092359%1.064658%1.1%2,4486.346631%8.000226%6.346631%6.3%14,59314.6k20.118469%22.781635%20.118469%20.1%46,25946.3k12.811993%10.976332%12.811993%12.8%29,45929.5k24.327521%21.730308%24.327521%24.3%55,93755.9k28.110363%25.676696%28.110363%28.1%64,63564.6k4.424332%4.319913%4.424332%4.4%10,17310.2k1.139897%1.957001%1.139897%1.1%2,6210.960280%1.099141%0.960280%1.0%2,208
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 Anoka County
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-49.073446%-49.073446%-49.1%0.696%0.70%1.366%1.37%-49.116866%-49.116866%-49.1%1.065%1.06%2.092%2.09%-20.669349%-20.669349%-20.7%6.347%6.35%8.000%8.00%-11.689967%-11.689967%-11.7%20.118%20.1%22.782%22.8%16.723807%16.723807%+16.7%12.812%12.8%10.976%11.0%11.952032%11.952032%+12.0%24.328%24.3%21.730%21.7%9.478116%9.478116%+9.5%28.110%28.1%25.677%25.7%2.417164%2.417164%+2.4%4.424%4.42%4.320%4.32%-41.752853%-41.752853%-41.8%1.140%1.14%1.957%1.96%-12.633582%-12.633582%-12.6%0.960%0.96%1.099%1.10%
% percentage with given level in Anoka 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 Anoka County
More Females More Males
Minnesota
Anoka County
10%0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.493027%-7.094129%-11.493027%11%43.239%43.2%38.782%38.8%6.434011%4.644972%6.434011%6%50.823%50.8%54.093%54.1%19.993946%13.638813%19.993946%20%5.938%5.94%7.125%7.13%
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 Anoka County
More Females More Males
Minnesota
Anoka County
0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None76.828740%46.084775%76.828740%77%0.504%0.50%0.892%0.89%38.492060%49.436197%38.492060%38%0.895%0.89%1.239%1.24%-30.969721%-22.131208%-30.969721%31%7.186%7.19%5.487%5.49%-11.220765%-6.225334%-11.220765%11%21.174%21.2%19.037%19.0%-11.163285%-14.436796%-11.163285%11%13.481%13.5%12.127%12.1%-3.137199%-1.393757%-3.137199%3%24.699%24.7%23.947%23.9%15.392679%10.026271%15.392679%15%26.124%26.1%30.145%30.1%43.612620%29.029778%43.612620%44%3.640%3.64%5.228%5.23%-3.342742%-3.342742%3%5.463227%1.158%1.16%1.121%1.12%-46.721389%-26.769029%-46.721389%47%1.139%1.14%0.777%0.78%
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 Anoka County
Anoka County
Minnesota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3413.385164%15.674649%13.385164%13.4%5,40640,38840.4k18.090064%21.754200%18.090064%18.1%17,81617.8k98,48598.5k25.237068%26.172525%25.237068%25.2%11,57711.6k45,87345.9k25.361276%29.184434%25.361276%25.4%11,46011.5k45,18745.2k
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 Anoka County
15%10%5%0%%ref.65+45-6435-4425-34-14.606294%-14.606294%14.6%13.385%13.4%15.675%15.7%-16.843346%-16.843346%16.8%18.090%18.1%21.754%21.8%-3.574195%-3.574195%3.6%25.237%25.2%26.173%26.2%-13.099989%-13.099989%13.1%25.361%25.4%29.184%29.2%
% percentage in Anoka 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 Anoka County
More Females More Males
Minnesota
Anoka County
40%30%20%10%0%10%20%FM65+45-6435-4425-3427.759040%20.814223%27.759040%27.8%11.904%11.9%15.208%15.2%-9.046484%-6.871300%-9.046484%9.0%18.874%18.9%17.308%17.3%-14.133466%-16.463598%-14.133466%14.1%26.925%26.9%23.591%23.6%-40.282714%-19.935695%-40.282714%40.3%29.690%29.7%21.165%21.2%
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 Anoka County
Anoka County
Minnesota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$70,092.000000$68,001.000000$70,092.000000$70.1k18,64118.6k8.107%8.11%$56,010.000000$52,072.000000$56,010.000000$56.0k46,25946.3k20.118%20.1%$42,222.000000$36,939.000000$42,222.000000$42.2k85,39685.4k37.140%37.1%$35,976.000000$31,011.000000$35,976.000000$36.0k64,63564.6k28.110%28.1%$25,604.000000$22,379.000000$25,604.000000$25.6k15,00215.0k6.525%6.52%$44,007.000000$40,804.000000$44,007.000000$44.0k229,933230k100.000%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 Anoka County
Female Male
Minnesota
Anoka County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-60,299.000000$-60,699.000000$-60,299.000000$60.3k$60,299.000000$22,255.000000$60,699.000000$20,223.000000$82,554.000000$82.6k9,9908,651$-46,875.000000$-43,209.000000$-46,875.000000$46.9k$46,875.000000$21,561.000000$43,209.000000$20,301.000000$68,436.000000$68.4k24,63924.6k21,62021.6k$-35,969.000000$-30,960.000000$-35,969.000000$36.0k$35,969.000000$15,145.000000$30,960.000000$13,760.000000$51,114.000000$51.1k44,42844.4k40,96841.0k$-28,445.000000$-24,260.000000$-28,445.000000$28.4k$28,445.000000$12,953.000000$24,260.000000$12,346.000000$41,398.000000$41.4k30,40030.4k34,23534.2k$-19,280.000000$-17,131.000000$-19,280.000000$19.3k$19,280.000000$11,765.000000$17,131.000000$9,376.000000$31,045.000000$31.0k6,9108,092$-37,521.000000$-34,315.000000$-37,521.000000$37.5k$37,521.000000$13,636.000000$34,315.000000$12,949.000000$51,157.000000$51.2k116,367116k113,566114k
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 Anoka County
Anoka County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.818182%35.183299%81.818182%81.8%7218.181818%56.313646%18.181818%18.2%160.000000%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 Anoka County
Anoka County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.519279%87.405591%88.519279%88.5%50,00150.0k83.664892%81.736852%83.664892%83.7%61,90761.9k76.018538%74.314958%76.018538%76.0%36,90736.9k64.698050%58.425001%64.698050%64.7%6,803
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 Anoka County
Female Male
Minnesota
Anoka County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-4.165358%-4.270697%-4.165358%4.2%4.165358%1.295410%4.270697%1.199676%5.460768%5.5%5,4094,245-10.165841%-8.940377%-15.996843%-5.794594%-19.106218%19.1%10.165841%15.996843%10.165841%10.2%472885-16.799007%-2.875260%-17.242336%-6.032412%-19.674267%19.7%16.799007%17.242336%16.799007%16.8%677906-23.267482%-32.943822%-23.267482%23.3%23.267482%11.848534%32.943822%5.005995%35.116016%35.1%1,241742-16.321703%-21.417113%-16.321703%16.3%16.321703%9.887194%21.417113%5.201726%26.208897%26.2%1,084552
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 Anoka County
Female Male
Minnesota
Anoka County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-27.010055%-3.112011%-34.661162%-1.797325%-30.122066%30.1%27.010055%34.661162%27.010055%27.0%26,75426.8k30,69830.7k-20.876511%-18.524426%-20.876511%20.9%20.876511%4.688856%18.524426%2.990804%25.565367%25.6%1,187967-37.171216%-3.914560%-41.369118%-41.085776%41.1%37.171216%41.369118%3.173947%37.171216%37.2%1,4981,892-12.026033%-7.259010%-15.584176%-2.395113%-19.285042%19.3%12.026033%15.584176%12.026033%12.0%425615-13.708897%-7.373302%-17.924863%-3.708263%-21.082200%21.1%13.708897%17.924863%13.708897%13.7%567713
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 Anoka 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
8%17%26%35%43%52%

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
44%49%54%60%65%70%

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
3%9%15%20%26%32%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.28%0.56%0.83%1.11%1.39%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.39%0.78%1.17%1.56%1.96%

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%1.9%3.8%5.7%7.7%9.6%

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
3%8%13%18%23%29%

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
4.5%7.0%9.4%11.8%14.1%16.6%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.7%22.4%26.0%29.6%33.2%36.9%

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
20.8%24.9%28.9%32.9%36.9%41.0%

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
2.5%4.5%6.6%8.6%10.7%12.7%

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%3.0%6.1%9.1%12.2%15.3%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.5%2.2%3.0%3.8%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Anoka 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
20%30%39%49%58%68%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
27%36%45%53%62%71%

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
0.4%4.4%8.3%12.3%16.3%20.3%

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%0.6%1.2%1.8%2.4%3.1%

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%0.7%1.5%2.2%3.0%3.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%4.6%7.7%10.7%13.7%16.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8%14%19%25%30%36%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.5%8.1%10.6%13.1%15.6%18.2%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
14.5%18.3%22.2%26.0%29.8%33.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11%18%24%30%37%44%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%2.8%5.1%7.5%9.8%12.2%

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%1.6%3.1%4.7%6.3%7.9%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.4%3.6%4.8%6.1%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Anoka County

There are 21 places that are fully or partially contained within Anoka County (18 fully and 3 partially). This section compares all 21 of those to each other, Anoka County, and other entities that contain or substantially overlap with Anoka 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 Anoka County, selected places in Anoka County, and entities that contain Anoka County
0%10%20%30%Count#HilltopColumbia HeightsColumbia HtsUnited States of AmericaUnited StatesLexingtonMidwestFridleyAnokaWest North CentralSpring Lake ParkSpg Lk PkBethelMinnesotaOak GroveCoon RapidsMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisNowthenAnoka CountyAnokaSt. FrancisCentervilleMartin LakeCircle PinesBlaineEast BethelColumbusHam LakeAndoverRamseyLino Lakes31.641286%31.641286%31.6%187113.892638%13.892638%13.9%1,853213.020590%13.020590%13.0%27,818,38027.8M10.679612%10.679612%10.7%143310.244520%10.244520%10.2%4,641,8354.64M9.793424%9.793424%9.8%1,81149.255710%9.255710%9.3%1,15959.174633%9.174633%9.2%1,278,0511.28M8.946918%8.946918%8.9%41868.143322%8.143322%8.1%2577.376055%7.376055%7.4%270,121270k7.372134%7.372134%7.4%41887.021578%7.021578%7.0%3,02396.766618%6.766618%6.8%158,334158k6.719232%6.719232%6.7%196106.524509%6.524509%6.5%15,00215.0k5.946758%5.946758%5.9%277115.727235%5.727235%5.7%139125.701079%5.701079%5.7%37135.542791%5.542791%5.5%193145.219035%5.219035%5.2%2,154154.869149%4.869149%4.9%387164.677966%4.677966%4.7%138174.126304%4.126304%4.1%443184.031177%4.031177%4.0%812193.724508%3.724508%3.7%610203.260146%3.260146%3.3%44121
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 Anoka County, selected places in Anoka County, and entities that contain Anoka County
0%10%20%30%40%Count#Lino LakesMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisCentervilleMinnesotaAndoverBlaineCircle PinesHam LakeUnited States of AmericaUnited StatesWest North CentralMidwestRamseyAnoka CountyAnokaFridleyCoon RapidsColumbusNowthenEast BethelColumbia HeightsColumbia HtsOak GroveAnokaSpring Lake ParkSpg Lk PkLexingtonSt. FrancisMartin LakeBethelHilltop41.043838%41.043838%41.0%5,552139.983752%39.983752%40.0%935,591936k34.569427%34.569427%34.6%839234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,867333.485172%33.485172%33.5%13,82013.8k432.912119%32.912119%32.9%1,146531.454918%31.454918%31.5%3,377630.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,653728.225614%28.225614%28.2%64,90064.9k27.190136%27.190136%27.2%5,028825.993543%25.993543%26.0%11,19111.2k924.440678%24.440678%24.4%7211023.585876%23.585876%23.6%6881121.879718%21.879718%21.9%1,7391221.704903%21.704903%21.7%2,8951321.499118%21.499118%21.5%1,2191421.346430%21.346430%21.3%2,6731520.269692%20.269692%20.3%9471615.011202%15.011202%15.0%2011712.795191%12.795191%12.8%5961812.634823%12.634823%12.6%821910.097720%10.097720%10.1%31204.060914%4.060914%4.1%2421
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 Anoka County, selected places in Anoka County, and entities that contain Anoka County
0%1%2%3%Count#Minneapolis, St. Paul, and Bloomington Metro AreaMinneapolisMinnesotaUnited States of AmericaUnited StatesBethelWest North CentralLino LakesMidwestBlaineHam LakeFridleyColumbusAnoka CountyAnokaRamseyNowthenAnokaAndoverCentervilleEast BethelSpring Lake ParkSpg Lk PkColumbia HeightsColumbia HtsCoon RapidsCircle PinesOak GroveHilltopSt. FrancisLexingtonMartin Lake3.980678%3.980678%4.0%93,14593.1k3.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.257329%3.257329%3.3%1012.978981%2.978981%3.0%414,980415k2.971834%2.971834%3.0%40222.893416%2.893416%2.9%1,311,0191.31M2.500485%2.500485%2.5%1,03232.179583%2.179583%2.2%23442.103612%2.103612%2.1%38952.101695%2.101695%2.1%6261.760513%1.760513%1.8%4,0481.727928%1.727928%1.7%28371.645526%1.645526%1.6%4881.621147%1.621147%1.6%20391.558854%1.558854%1.6%314101.400906%1.400906%1.4%34111.346251%1.346251%1.3%107121.327055%1.327055%1.3%62131.274554%1.274554%1.3%170141.272850%1.272850%1.3%548151.263642%1.263642%1.3%44160.899471%0.899471%0.9%51170.676819%0.676819%0.7%4180.214684%0.214684%0.2%10190.000000%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 Anoka County, selected places in Anoka County, and entities that contain Anoka County
Female
Male
1x0x1x2x3xFM#St. FrancisCircle PinesMartin LakeRamseyLino LakesBethelEast BethelCentervilleAnokaColumbusFridleyCoon RapidsAnokaNowthenHam LakeLexingtonWest North CentralMinnesotaMidwestUnited StatesHilltopBlaineAndoverMinneapolisOak GroveColumbia HtsSpg Lk Pk-1.000000x-1.000000x3.150519x3.150519x3.15x2.869%2.87%9.040%9.04%1-1.000000x-1.000000x2.493940x2.493940x2.49x3.289%3.29%8.203%8.20%2-1.000000x-1.000000x1.945352x1.945352x1.95x3.754%3.75%7.303%7.30%3-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%4-1.000000x-1.000000x1.537358x1.537358x1.54x2.534%2.53%3.896%3.90%5-1.000000x-1.000000x1.529966x1.529966x1.53x6.338%6.34%9.697%9.70%6-1.000000x-1.000000x1.392261x1.392261x1.39x4.036%4.04%5.619%5.62%7-1.000000x-1.000000x1.390799x1.390799x1.39x4.778%4.78%6.645%6.65%8-1.000000x-1.000000x1.377017x1.377017x1.38x7.830%7.83%10.782%10.8%9-1.000000x-1.000000x1.297661x1.297661x1.30x4.087%4.09%5.304%5.30%10-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%11-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%12-1.000000x-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%-1.000000x-1.000000x1.199900x1.199900x1.20x6.097%6.10%7.315%7.32%13-1.000000x-1.000000x1.164442x1.164442x1.16x3.804%3.80%4.430%4.43%14-1.000000x-1.000000x1.160885x1.160885x1.16x9.945%9.94%11.545%11.5%15-1.000000x-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-1.000000x1.094692x1.094692x1.09x30.075%30.1%32.923%32.9%16-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%17-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%18-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.025399x1.025399x1.03x7.277%7.28%7.462%7.46%19-1.054236x-1.054236x1.05x1.000000x1.000000x14.252%14.3%13.519%13.5%20-1.265362x-1.265362x1.27x1.000000x1.000000x9.947%9.95%7.861%7.86%21
F percentage of females in category
M percentage of males in category
# rank of place out of 21 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 Anoka County, selected places in Anoka County, and entities that contain Anoka County
Female
Male
10x5x0x5x10xFM#Spg Lk PkHilltopCentervilleAndoverFridleyRamseyLino LakesNowthenMidwestWest North CentralUnited StatesAnokaCoon RapidsHam LakeMinnesotaEast BethelMinneapolisAnokaBethelColumbia HtsBlaineCircle PinesColumbusOak GroveSt. Francis-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.769%2.77%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.231%1.23%2-1.000000x-1.000000x3.142018x3.142018x3.14x0.671%0.67%2.107%2.11%3-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%4-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%5-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%6-1.000000x-1.000000x1.674609x1.674609x1.67x2.186%2.19%3.660%3.66%7-1.000000x-1.000000x1.596197x1.596197x1.60x1.261%1.26%2.013%2.01%8-1.000000x-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-1.000000x1.523149x1.523149x1.52x1.399%1.40%2.131%2.13%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%9-1.000000x-1.000000x1.505695x1.505695x1.51x1.729%1.73%2.604%2.60%10-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.449627x1.449627x1.45x1.089%1.09%1.578%1.58%11-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.317882x1.317882x1.32x1.405%1.41%1.852%1.85%12-1.000000x-1.000000x1.290909x1.290909x1.29x2.817%2.82%3.636%3.64%13-1.000000x-1.000000x1.286021x1.286021x1.29x1.118%1.12%1.438%1.44%14-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%15-1.114756x-1.114756x1.11x1.000000x1.000000x1.326%1.33%1.190%1.19%16-1.844273x-1.844273x1.84x1.000000x1.000000x2.703%2.70%1.465%1.47%17-1.930244x-1.930244x1.93x1.000000x1.000000x1.195%1.19%0.619%0.62%18-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.428%0.43%0.000%0%19
F percentage of females in category
M percentage of males in category
# rank of place out of 19 by male-to-female sex ratio

Educational Attainment by County Subdivision in Anoka County

There are 21 county subdivisions in Anoka County. This section compares all 21 of those to each other, Anoka County, and other entities that contain or substantially overlap with Anoka 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 Anoka County, selected county subdivisions in Anoka County, and entities that contain Anoka County
0%10%20%30%Count#HilltopColumbia HeightsColumbia HtsUnited States of AmericaUnited StatesLexingtonMidwestFridleySpring Lake ParkSpg Lk PkAnokaWest North CentralBethelMinnesotaOak GroveCoon RapidsMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisNowthenAnoka CountyAnokaSt. FrancisCentervilleCircle PinesBlaineEast BethelLinwood TownshipLinwoodColumbusHam LakeAndoverRamseyLino Lakes31.641286%31.641286%31.6%187113.892638%13.892638%13.9%1,853213.020590%13.020590%13.0%27,818,38027.8M10.679612%10.679612%10.7%143310.244520%10.244520%10.2%4,641,8354.64M9.793424%9.793424%9.8%1,81149.347048%9.347048%9.3%41859.255710%9.255710%9.3%1,15969.174633%9.174633%9.2%1,278,0511.28M8.143322%8.143322%8.1%2577.376055%7.376055%7.4%270,121270k7.372134%7.372134%7.4%41887.021578%7.021578%7.0%3,02396.766618%6.766618%6.8%158,334158k6.719232%6.719232%6.7%196106.524509%6.524509%6.5%15,00215.0k5.946758%5.946758%5.9%277115.727235%5.727235%5.7%139125.542791%5.542791%5.5%193135.219035%5.219035%5.2%2,154144.869149%4.869149%4.9%387154.715710%4.715710%4.7%175164.677966%4.677966%4.7%138174.126304%4.126304%4.1%443184.031177%4.031177%4.0%812193.724508%3.724508%3.7%610203.260146%3.260146%3.3%44121
Count number of people in category
# rank of county subdivision out of 21 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 Anoka County, selected county subdivisions in Anoka County, and entities that contain Anoka County
0%10%20%30%40%Count#Lino LakesMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisCentervilleMinnesotaAndoverBlaineCircle PinesHam LakeUnited States of AmericaUnited StatesWest North CentralMidwestRamseyAnoka CountyAnokaFridleyCoon RapidsColumbusNowthenEast BethelColumbia HeightsColumbia HtsOak GroveAnokaLinwood TownshipLinwoodSpring Lake ParkSpg Lk PkLexingtonSt. FrancisBethelHilltop41.043838%41.043838%41.0%5,552139.983752%39.983752%40.0%935,591936k34.569427%34.569427%34.6%839234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,867333.485172%33.485172%33.5%13,82013.8k432.912119%32.912119%32.9%1,146531.454918%31.454918%31.5%3,377630.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,653728.225614%28.225614%28.2%64,90064.9k27.190136%27.190136%27.2%5,028825.993543%25.993543%26.0%11,19111.2k924.440678%24.440678%24.4%7211023.585876%23.585876%23.6%6881121.879718%21.879718%21.9%1,7391221.704903%21.704903%21.7%2,8951321.499118%21.499118%21.5%1,2191421.346430%21.346430%21.3%2,6731520.479655%20.479655%20.5%7601619.677996%19.677996%19.7%8801715.011202%15.011202%15.0%2011812.795191%12.795191%12.8%5961910.097720%10.097720%10.1%31204.060914%4.060914%4.1%2421
Count number of people in category
# rank of county subdivision out of 21 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 Anoka County, selected county subdivisions in Anoka County, and entities that contain Anoka County
0%1%2%3%Count#Minneapolis, St. Paul, and Bloomington Metro AreaMinneapolisMinnesotaUnited States of AmericaUnited StatesBethelWest North CentralLino LakesMidwestBlaineHam LakeFridleyColumbusAnoka CountyAnokaRamseyNowthenAnokaAndoverCentervilleSpring Lake ParkSpg Lk PkEast BethelColumbia HeightsColumbia HtsCoon RapidsCircle PinesLinwood TownshipLinwoodOak GroveHilltopSt. FrancisLexington3.980678%3.980678%4.0%93,14593.1k3.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.257329%3.257329%3.3%1012.978981%2.978981%3.0%414,980415k2.971834%2.971834%3.0%40222.893416%2.893416%2.9%1,311,0191.31M2.500485%2.500485%2.5%1,03232.179583%2.179583%2.2%23442.103612%2.103612%2.1%38952.101695%2.101695%2.1%6261.760513%1.760513%1.8%4,0481.727928%1.727928%1.7%28371.645526%1.645526%1.6%4881.621147%1.621147%1.6%20391.558854%1.558854%1.6%314101.400906%1.400906%1.4%34111.386404%1.386404%1.4%62121.346251%1.346251%1.3%107131.274554%1.274554%1.3%170141.272850%1.272850%1.3%548151.263642%1.263642%1.3%44161.104823%1.104823%1.1%41170.899471%0.899471%0.9%51180.676819%0.676819%0.7%4190.214684%0.214684%0.2%10200.000000%0.000000%0.0%021
Count number of people in category
# rank of county subdivision 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 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 Anoka County, selected county subdivisions in Anoka County, and entities that contain Anoka County
Female
Male
1x0x1x2x3xFM#St. FrancisCircle PinesLinwoodRamseyLino LakesBethelEast BethelCentervilleAnokaColumbusFridleyCoon RapidsAnokaNowthenHam LakeLexingtonWest North CentralMinnesotaMidwestUnited StatesHilltopBlaineAndoverMinneapolisOak GroveColumbia HtsSpg Lk Pk-1.000000x-1.000000x3.150519x3.150519x3.15x2.869%2.87%9.040%9.04%1-1.000000x-1.000000x2.493940x2.493940x2.49x3.289%3.29%8.203%8.20%2-1.000000x-1.000000x1.612617x1.612617x1.61x3.579%3.58%5.772%5.77%3-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%4-1.000000x-1.000000x1.537358x1.537358x1.54x2.534%2.53%3.896%3.90%5-1.000000x-1.000000x1.529966x1.529966x1.53x6.338%6.34%9.697%9.70%6-1.000000x-1.000000x1.392261x1.392261x1.39x4.036%4.04%5.619%5.62%7-1.000000x-1.000000x1.390799x1.390799x1.39x4.778%4.78%6.645%6.65%8-1.000000x-1.000000x1.377017x1.377017x1.38x7.830%7.83%10.782%10.8%9-1.000000x-1.000000x1.297661x1.297661x1.30x4.087%4.09%5.304%5.30%10-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%11-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%12-1.000000x-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%-1.000000x-1.000000x1.199900x1.199900x1.20x6.097%6.10%7.315%7.32%13-1.000000x-1.000000x1.164442x1.164442x1.16x3.804%3.80%4.430%4.43%14-1.000000x-1.000000x1.160885x1.160885x1.16x9.945%9.94%11.545%11.5%15-1.000000x-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-1.000000x1.094692x1.094692x1.09x30.075%30.1%32.923%32.9%16-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%17-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%18-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.025399x1.025399x1.03x7.277%7.28%7.462%7.46%19-1.054236x-1.054236x1.05x1.000000x1.000000x14.252%14.3%13.519%13.5%20-1.244940x-1.244940x1.24x1.000000x1.000000x10.311%10.3%8.282%8.28%21
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 21 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 Anoka County, selected county subdivisions in Anoka County, and entities that contain Anoka County
Female
Male
10x5x0x5x10xFM#Spg Lk PkLinwoodHilltopCentervilleAndoverFridleyRamseyLino LakesNowthenMidwestWest North CentralUnited StatesAnokaCoon RapidsHam LakeMinnesotaEast BethelMinneapolisAnokaBethelColumbia HtsBlaineCircle PinesColumbusOak GroveSt. Francis-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.918%2.92%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.132%2.13%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.231%1.23%3-1.000000x-1.000000x3.142018x3.142018x3.14x0.671%0.67%2.107%2.11%4-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%5-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%6-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%7-1.000000x-1.000000x1.674609x1.674609x1.67x2.186%2.19%3.660%3.66%8-1.000000x-1.000000x1.596197x1.596197x1.60x1.261%1.26%2.013%2.01%9-1.000000x-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-1.000000x1.523149x1.523149x1.52x1.399%1.40%2.131%2.13%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%10-1.000000x-1.000000x1.505695x1.505695x1.51x1.729%1.73%2.604%2.60%11-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.449627x1.449627x1.45x1.089%1.09%1.578%1.58%12-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.317882x1.317882x1.32x1.405%1.41%1.852%1.85%13-1.000000x-1.000000x1.290909x1.290909x1.29x2.817%2.82%3.636%3.64%14-1.000000x-1.000000x1.286021x1.286021x1.29x1.118%1.12%1.438%1.44%15-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%16-1.114756x-1.114756x1.11x1.000000x1.000000x1.326%1.33%1.190%1.19%17-1.844273x-1.844273x1.84x1.000000x1.000000x2.703%2.70%1.465%1.47%18-1.930244x-1.930244x1.93x1.000000x1.000000x1.195%1.19%0.619%0.62%19-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.428%0.43%0.000%0%20
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 20 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 Anoka County to all of the counties in the Minneapolis Area and to those entities that contain or substantially overlap with Anoka 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 Anoka County, selected other counties in the Minneapolis Area, and entities that contain Anoka 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 Anoka County, selected other counties in the Minneapolis Area, and entities that contain Anoka 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 Anoka County, selected other counties in the Minneapolis Area, and entities that contain Anoka 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 Anoka County, selected other counties in the Minneapolis Area, and entities that contain Anoka 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 Anoka County, selected other counties in the Minneapolis Area, and entities that contain Anoka 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 Anoka County to the 50 most populous counties in Minnesota and to those entities that contain or substantially overlap with Anoka 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 Anoka County, selected other counties in Minnesota, and entities that contain Anoka 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 Anoka County, selected other counties in Minnesota, and entities that contain Anoka 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 Anoka County, selected other counties in Minnesota, and entities that contain Anoka 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 Anoka County, selected other counties in Minnesota, and entities that contain Anoka 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 Anoka County, selected other counties in Minnesota, and entities that contain Anoka 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 Anoka County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Anoka 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 Anoka County, selected other counties in the United States, and entities that contain Anoka 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 CountyOaklandAnoka CountyAnokaAllegheny CountyAllegheny28.837398%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%56,30256.3k496.524509%6.524509%6.5%15,00215.0k6.132273%6.132273%6.1%53,97454.0k50
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 Anoka County, selected other counties in the United States, and entities that contain Anoka 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. LouisContra 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 CountySacramentoMidwestAnoka CountyAnokaMiami-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%291,365291k1740.269631%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%13,118,64213.1M28.225614%28.225614%28.2%64,90064.9k27.281635%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 Anoka County, selected other counties in the United States, and entities that contain Anoka 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 CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoAnoka CountyAnokaBronx 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%31,96532.0k373.113482%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%23,97124.0k491.760513%1.760513%1.8%4,0481.664253%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 Anoka County, selected other counties in the United States, and entities that contain Anoka County
Female
Male
1x0x1xFM#MecklenburgPalm BeachAnokaWakeWestchesterFairfieldContra CostaWest North CentralMinnesotaHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisMinneapolisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos 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-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%-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-1.000000x1.001235x1.001235x1.00x12.245%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 Anoka County, selected other counties in the United States, and entities that contain Anoka County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesAnokaSanta ClaraFultonContra CostaMilwaukeeSan DiegoMinnesotaOrangeFresnoHillsboroughHarrisMinneapolisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan 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-1.000000x1.523149x1.523149x1.52x1.399%1.40%2.131%2.13%-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-1.000000x1.345994x1.345994x1.35x4.845%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

Cities:
Andover, Anoka, Bethel, Blaine, Centerville, Circle Pines, Columbia Heights, Columbus, Coon Rapids, East Bethel, Fridley, Ham Lake, Hilltop, Lexington, Lino Lakes, Nowthen, Oak Grove, Ramsey, Spring Lake Park, St. Francis
Townships:
Linwood
Unincorporated Places:
Martin Lake
ZIP Codes:
55005, 55011, 55014, 55025, 55038, 55070, 55079, 55092, 55110, 55126, 55303, 55304, 55330, 55421, 55432, 55433, 55434, 55448, 55449
Unified School Districts:
Anoka-Hennepin, Centennial, Columbia Heights, Elk River, Forest Lake, Fridley, Spring Lake Park, St. Francis, White Bear Lake
Congressional Districts:
MN-3, MN-5, MN-6
State Senate Districts:
MN-31, MN-35, MN-36, MN-37, MN-38, MN-41
State House Districts:
MN-31A, MN-31B, MN-35A, MN-35B, MN-36A, MN-36B, MN-37A, MN-37B, MN-38A, MN-41A, MN-41B
Neighboring Counties:
Chisago, Hennepin, Isanti, Ramsey, Sherburne, Washington
Nearby Counties:
Benton, Carver, Dakota, Kanabec, Mille Lacs, Pierce, Polk, Scott, St. Croix, Wright