Educational Attainment in Wabasha County, Minnesota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Minnesota and Wabasha County
Wabasha County
Minnesota
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.416268%45.216942%32.416268%32.4%4,87860.772196%47.407004%60.772196%60.8%9,1456.811536%7.376055%6.811536%6.8%1,025
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 Wabasha County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-28.309464%-28.309464%-28.3%32.416%32.4%45.217%45.2%28.192442%28.192442%+28.2%60.772%60.8%47.407%47.4%-7.653388%-7.653388%-7.7%6.812%6.81%7.376%7.38%
% percentage with given level in Wabasha 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 Wabasha County
Wabasha County
Minnesota
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.744285%1.366389%0.744285%0.7%1121.030037%2.092359%1.030037%1.0%1554.817916%8.000226%4.817916%4.8%72514.646465%22.781635%14.646465%14.6%2,20411.177565%10.976332%11.177565%11.2%1,68223.637693%21.730308%23.637693%23.6%3,55737.134503%25.676696%37.134503%37.1%5,5884.525518%4.319913%4.525518%4.5%6811.847422%1.957001%1.847422%1.8%2780.438596%1.099141%0.438596%0.4%66
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 Wabasha County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-45.529063%-45.529063%-45.5%0.744%0.74%1.366%1.37%-50.771494%-50.771494%-50.8%1.030%1.03%2.092%2.09%-39.777752%-39.777752%-39.8%4.818%4.82%8.000%8.00%-35.709335%-35.709335%-35.7%14.646%14.6%22.782%22.8%1.833333%1.833333%+1.8%11.178%11.2%10.976%11.0%8.777532%8.777532%+8.8%23.638%23.6%21.730%21.7%44.623372%44.623372%+44.6%37.135%37.1%25.677%25.7%4.759481%4.759481%+4.8%4.526%4.53%4.320%4.32%-5.599355%-5.599355%-5.6%1.847%1.85%1.957%1.96%-60.096415%-60.096415%-60.1%0.439%0.44%1.099%1.10%
% percentage with given level in Wabasha 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 Wabasha County
More Females More Males
Minnesota
Wabasha County
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-21.750148%-7.094129%-21.750148%22%35.563%35.6%29.210%29.2%6.952576%4.644972%6.952576%7%58.749%58.7%62.834%62.8%39.883859%13.638813%39.883859%40%5.688%5.69%7.957%7.96%
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 Wabasha County
More Females More Males
Minnesota
Wabasha County
0%100%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-5.399264%-5.399264%5%46.084775%0.764%0.76%0.725%0.72%165.427688%49.436197%165.427688%165%0.566%0.57%1.503%1.50%-38.230126%-22.131208%-38.230126%38%5.583%5.58%4.039%4.04%-27.160577%-6.225334%-27.160577%27%16.379%16.4%12.881%12.9%-21.943314%-14.436796%-21.943314%22%12.271%12.3%10.063%10.1%-14.964676%-1.393757%-14.964676%15%25.267%25.3%21.978%22.0%22.021847%10.026271%22.021847%22%33.483%33.5%40.856%40.9%10.970466%29.029778%10.970466%11%4.292%4.29%4.763%4.76%106.025878%5.463227%106.025878%106%1.211%1.21%2.496%2.50%-26.769029%278.505300%278.505300%279%0.184%0.18%0.698%0.70%
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 Wabasha County
Wabasha County
Minnesota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3412.640239%15.674649%12.640239%12.6%5074,01114.590859%21.754200%14.590859%14.6%9296,36717.776853%26.172525%17.776853%17.8%4272,40215.035273%29.184434%15.035273%15.0%3412,268
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 Wabasha County
40%30%20%10%0%%ref.65+45-6435-4425-34-19.358710%-19.358710%19.4%12.640%12.6%15.675%15.7%-32.928541%-32.928541%32.9%14.591%14.6%21.754%21.8%-32.078189%-32.078189%32.1%17.777%17.8%26.173%26.2%-48.481875%-48.481875%48.5%15.035%15.0%29.184%29.2%
% percentage in Wabasha 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 Wabasha County
More Females More Males
Minnesota
Wabasha County
60%40%20%0%20%FM65+45-6435-4425-3419.769168%20.814223%19.769168%19.8%11.562%11.6%13.848%13.8%-39.467073%-6.871300%-39.467073%39.5%17.015%17.0%12.200%12.2%-77.837385%-16.463598%-77.837385%77.8%22.800%22.8%12.821%12.8%-27.226043%-19.935695%-27.226043%27.2%16.860%16.9%13.252%13.3%
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 Wabasha County
Wabasha County
Minnesota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$54,492.000000$68,001.000000$54,492.000000$54.5k9926.592%6.59%$51,649.000000$52,072.000000$51,649.000000$51.6k2,20414.646%14.6%$38,272.000000$36,939.000000$38,272.000000$38.3k5,23934.815%34.8%$31,770.000000$31,011.000000$31,770.000000$31.8k5,58837.135%37.1%$22,639.000000$22,379.000000$22,639.000000$22.6k1,0256.812%6.81%$37,953.000000$40,804.000000$37,953.000000$38.0k15,04815.0k100.000%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 Wabasha County
Female Male
Minnesota
Wabasha County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-50,739.000000$-60,699.000000$-50,739.000000$50.7k$50,739.000000$20,511.000000$60,699.000000$20,223.000000$71,250.000000$71.3k525467$-48,625.000000$-43,209.000000$-48,625.000000$48.6k$48,625.000000$8,607.000000$43,209.000000$20,301.000000$57,232.000000$57.2k1,244960$-32,356.000000$-30,960.000000$-32,356.000000$32.4k$32,356.000000$13,649.000000$30,960.000000$13,760.000000$46,005.000000$46.0k2,8512,388$-25,332.000000$-24,260.000000$-25,332.000000$25.3k$25,332.000000$13,145.000000$24,260.000000$12,346.000000$38,477.000000$38.5k2,5433,045$-16,250.000000$-17,131.000000$-16,250.000000$16.3k$16,250.000000$14,453.000000$17,131.000000$9,376.000000$30,703.000000$30.7k432593$-32,016.000000$-34,315.000000$-32,016.000000$32.0k$32,016.000000$10,882.000000$34,315.000000$12,949.000000$42,898.000000$42.9k7,5957,453
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 Wabasha County
Wabasha County
Minnesota
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%35.183299%00.000000%0.000000%0.0%56.313646%0100.000000%8.503055%100.000000%100.0%120.000000%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 Wabasha County
Wabasha County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma389.619520%87.405591%89.619520%89.6%2,16785.166240%81.736852%85.166240%85.2%3,66380.214043%74.314958%80.214043%80.2%3,07359.958932%58.425001%59.958932%60.0%292
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 Wabasha County
Female Male
Minnesota
Wabasha County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-5.639201%-4.270697%-5.639201%5.6%5.639201%2.142141%4.270697%1.199676%7.781342%7.8%558412-0.000000%-15.996843%-5.794594%0.000000%0.0%0.000000%0.000000%15.996843%0.000000%0.0%00-11.538462%-17.242336%-6.032412%-11.538462%11.5%11.538462%38.461538%17.242336%50.000000%50.0%116-0.578035%-2.124668%-32.943822%-2.702703%2.7%0.578035%32.943822%5.005995%0.578035%0.6%14-12.987013%-21.417113%-12.987013%13.0%12.987013%4.177166%21.417113%5.201726%17.164179%17.2%2310
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 Wabasha County
Female Male
Minnesota
Wabasha County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-18.895552%-4.605680%-34.661162%-1.797325%-23.501232%23.5%18.895552%34.661162%18.895552%18.9%1,3551,717-0.000000%-8.695652%-18.524426%-8.695652%8.7%0.000000%18.524426%2.990804%0.000000%0.0%02-17.307692%-41.369118%-17.307692%17.3%17.307692%23.601399%41.369118%3.173947%40.909091%40.9%99-10.810811%-15.584176%-2.395113%-10.810811%10.8%10.810811%3.640056%15.584176%14.450867%14.5%2516-32.467532%-17.924863%-3.708263%-32.467532%32.5%32.467532%4.099632%17.924863%36.567164%36.6%4925
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 Wabasha 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
10%17%23%30%37%44%

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
48.6%53.3%57.9%62.5%67.2%71.8%

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
0.8%4.6%8.4%12.2%16.0%19.9%

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%0.9%1.8%2.7%3.6%4.6%

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%0.7%1.3%2.0%2.6%3.3%

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%2.4%4.8%7.2%9.6%12.0%

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
2.0%6.5%11.0%15.5%20.0%24.5%

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
6.0%9.2%12.4%15.6%18.8%22.0%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
8.1%13.0%17.7%22.5%27.3%32.2%

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
23%32%40%48%55%64%

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
0.8%3.6%6.3%9.0%11.7%14.5%

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%1.6%3.2%4.8%6.5%8.1%

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%0.8%1.6%2.4%3.3%4.1%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Map of Educational Attainment by Tract in Wabasha 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
28.2%29.6%30.9%32.3%33.6%35.0%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
56.4%58.0%59.5%61.0%62.5%64.1%

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
3.8%4.8%5.8%6.8%7.9%8.9%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.33%0.66%1.00%1.33%1.66%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%0.9%1.4%2.0%2.5%3.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%4.2%5.0%5.8%6.5%7.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.8%12.9%13.9%14.9%16.0%17.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.0%9.5%10.8%12.2%13.6%15.0%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
22.0%22.7%23.4%24.1%24.8%25.6%

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
34.4%35.5%36.6%37.7%38.8%39.9%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
2.87%3.36%3.85%4.33%4.82%5.31%

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
0.4%1.0%1.5%2.0%2.5%3.1%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.19%0.38%0.57%0.76%0.95%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Educational Attainment by Place in Wabasha County

There are 11 places that are fully or partially contained within Wabasha County (8 fully and 3 partially). This section compares all 11 of those to each other, Wabasha County, and other entities that contain or substantially overlap with Wabasha 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 Wabasha County, selected places in Wabasha County, and entities that contain Wabasha County
0%5%10%15%Count#HammondZumbro FallsMillvilleUnited States of AmericaUnited StatesKelloggMazeppaMidwestWest North CentralLake CityWabashaMinnesotaElginWabasha CountyWabashaRochester Metro AreaRochesterMinneiskaBellechesterPlainview18.367347%18.367347%18.4%9114.173228%14.173228%14.2%18213.709677%13.709677%13.7%17313.020590%13.020590%13.0%27,818,38027.8M12.703583%12.703583%12.7%39411.028037%11.028037%11.0%59510.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M9.076804%9.076804%9.1%35167.642998%7.642998%7.6%15577.376055%7.376055%7.4%270,121270k7.355021%7.355021%7.4%5286.811536%6.811536%6.8%1,0256.187739%6.187739%6.2%8,9016.060606%6.060606%6.1%695.594406%5.594406%5.6%8103.976722%3.976722%4.0%8211
Count number of people in category
# rank of place out of 11 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 Wabasha County, selected places in Wabasha County, and entities that contain Wabasha County
0%10%20%30%Count#Rochester Metro AreaRochesterMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestWabashaMinneiskaElginWabasha CountyWabashaLake CityPlainviewMazeppaBellechesterZumbro FallsKelloggMillvilleHammond35.991908%35.991908%36.0%51,77451.8k34.240609%34.240609%34.2%1,253,9371.25M30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M24.112426%24.112426%24.1%489123.232323%23.232323%23.2%23221.357850%21.357850%21.4%151321.238703%21.238703%21.2%3,19621.127489%21.127489%21.1%817420.659554%20.659554%20.7%426518.317757%18.317757%18.3%98612.587413%12.587413%12.6%18710.236220%10.236220%10.2%1387.166124%7.166124%7.2%2296.451613%6.451613%6.5%8102.040816%2.040816%2.0%111
Count number of people in category
# rank of place out of 11 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 Wabasha County, selected places in Wabasha County, and entities that contain Wabasha County
0%1%2%3%4%5%Count#Rochester Metro AreaRochesterWabashaMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestElginMazeppaWabasha CountyWabashaLake CityMillvilleZumbro FallsPlainviewKelloggBellechesterMinneiskaHammond5.925658%5.925658%5.9%8,5245.078895%5.078895%5.1%10313.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.263083%2.263083%2.3%1621.869159%1.869159%1.9%1031.774322%1.774322%1.8%2671.629170%1.629170%1.6%6341.612903%1.612903%1.6%251.574803%1.574803%1.6%260.096993%0.096993%0.1%270.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%011
Count number of people in category
# rank of place out of 11 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 Wabasha County, selected places in Wabasha County, and entities that contain Wabasha County
Female
Male
0x5x10xFM#MinneiskaMillvilleZumbro FallsMazeppaElginBellechesterWabashaWabashaLake CityWest North CentralMinnesotaMidwestRochesterUnited StatesKelloggPlainviewHammond-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.526%10.5%1-1.000000x-1.000000x3.698276x3.698276x3.70x6.061%6.06%22.414%22.4%2-1.000000x-1.000000x2.031746x2.031746x2.03x9.375%9.38%19.048%19.0%3-1.000000x-1.000000x1.543174x1.543174x1.54x8.594%8.59%13.262%13.3%4-1.000000x-1.000000x1.463610x1.463610x1.46x6.011%6.01%8.798%8.80%5-1.000000x-1.000000x1.428571x1.428571x1.43x4.545%4.55%6.494%6.49%6-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-1.000000x-1.000000x1.247188x1.247188x1.25x6.842%6.84%8.533%8.53%7-1.000000x-1.000000x1.199990x1.199990x1.20x8.288%8.29%9.946%9.95%8-1.000000x-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-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.631579x-1.631579x1.63x1.000000x1.000000x15.789%15.8%9.677%9.68%9-1.840826x-1.840826x1.84x1.000000x1.000000x5.118%5.12%2.781%2.78%10-2.083333x-2.083333x2.08x1.000000x1.000000x25.000%25.0%12.000%12.0%11
F percentage of females in category
M percentage of males in category
# rank of place out of 11 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 Wabasha County, selected places in Wabasha County, and entities that contain Wabasha County
Female
Male
10x5x0x5x10xFM#PlainviewZumbro FallsMillvilleLake CityWabashaWabashaRochesterMidwestWest North CentralUnited StatesMinnesotaElginMazeppa-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.199%0.20%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.175%3.17%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.448%3.45%3-1.000000x-1.000000x3.525217x3.525217x3.53x0.740%0.74%2.609%2.61%4-1.000000x-1.000000x2.701734x2.701734x2.70x2.812%2.81%7.596%7.60%5-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%-1.000000x-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.197892x-1.197892x1.20x1.000000x1.000000x2.459%2.46%2.053%2.05%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.906%3.91%0.000%0%7
F percentage of females in category
M percentage of males in category
# rank of place out of 7 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wabasha County

There are 28 county subdivisions in Wabasha County. This section compares all 28 of those to each other, Wabasha County, and other entities that contain or substantially overlap with Wabasha 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 Wabasha County, selected county subdivisions in Wabasha County, and entities that contain Wabasha County
0%5%10%15%Count#Minneiska TownshipMinneiskaHammondBellechesterHyde Park TownshipHyde PkChester TownshipChesterZumbro FallsMillvilleUnited States of AmericaUnited StatesKelloggMazeppaMidwestWest North CentralWest Albany TownshipW AlbanyOakwood TownshipOakwoodMinneiskaGlasgow TownshipGlasgowLake CityWabashaMinnesotaElginWabasha CountyWabashaMazeppa TownshipMazeppaRochester Metro AreaRochesterMount Pleasant TownshipMt PleasantGillford TownshipGillfordZumbro TownshipZumbroElgin TownshipElginHighland TownshipHighlandPlainviewLake TownshipGreenfield TownshipGreenfieldWatopa TownshipWatopaPepin TownshipPepinPlainview TownshipPlainview19.819820%19.819820%19.8%22118.367347%18.367347%18.4%9217.857143%17.857143%17.9%5316.571429%16.571429%16.6%29414.930556%14.930556%14.9%43514.173228%14.173228%14.2%18613.709677%13.709677%13.7%17713.020590%13.020590%13.0%27,818,38027.8M12.703583%12.703583%12.7%39811.028037%11.028037%11.0%59910.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.849558%8.849558%8.8%20108.171206%8.171206%8.2%21118.000000%8.000000%8.0%4127.812500%7.812500%7.8%10137.784055%7.784055%7.8%248147.642998%7.642998%7.6%155157.376055%7.376055%7.4%270,121270k7.355021%7.355021%7.4%52166.811536%6.811536%6.8%1,0256.776557%6.776557%6.8%37176.187739%6.187739%6.2%8,9015.395683%5.395683%5.4%15185.263158%5.263158%5.3%20195.098039%5.098039%5.1%26204.661017%4.661017%4.7%22214.561404%4.561404%4.6%13223.976722%3.976722%4.0%82233.551913%3.551913%3.6%13243.378378%3.378378%3.4%35253.205128%3.205128%3.2%5261.098901%1.098901%1.1%3270.837989%0.837989%0.8%328
Count number of people in category
# rank of county subdivision out of 28 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 Wabasha County, selected county subdivisions in Wabasha County, and entities that contain Wabasha County
0%10%20%30%Count#Rochester Metro AreaRochesterMinnesotaLake TownshipUnited States of AmericaUnited StatesWest North CentralMidwestGillford TownshipGillfordZumbro TownshipZumbroMazeppa TownshipMazeppaMount Pleasant TownshipMt PleasantWatopa TownshipWatopaGlasgow TownshipGlasgowElgin TownshipElginWabashaWest Albany TownshipW AlbanyElginPepin TownshipPepinWabasha CountyWabashaHighland TownshipHighlandPlainviewHyde Park TownshipHyde PkLake CityMinneiskaChester TownshipChesterMazeppaOakwood TownshipOakwoodPlainview TownshipPlainviewGreenfield TownshipGreenfieldMinneiska TownshipMinneiskaBellechesterZumbro FallsKelloggMillvilleHammond35.991908%35.991908%36.0%51,77451.8k34.240609%34.240609%34.2%1,253,9371.25M33.879781%33.879781%33.9%124130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.947368%28.947368%28.9%110228.431373%28.431373%28.4%145327.472527%27.472527%27.5%150426.618705%26.618705%26.6%74525.000000%25.000000%25.0%39625.000000%25.000000%25.0%32724.152542%24.152542%24.2%114824.112426%24.112426%24.1%489922.123894%22.123894%22.1%501021.357850%21.357850%21.4%1511121.245421%21.245421%21.2%581221.238703%21.238703%21.2%3,19620.701754%20.701754%20.7%591320.659554%20.659554%20.7%4261420.571429%20.571429%20.6%361520.087884%20.087884%20.1%6401620.000000%20.000000%20.0%101718.750000%18.750000%18.8%541818.317757%18.317757%18.3%981917.898833%17.898833%17.9%462016.759777%16.759777%16.8%602116.119691%16.119691%16.1%1672215.315315%15.315315%15.3%172310.714286%10.714286%10.7%32410.236220%10.236220%10.2%13257.166124%7.166124%7.2%22266.451613%6.451613%6.5%8272.040816%2.040816%2.0%128
Count number of people in category
# rank of county subdivision out of 28 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 Wabasha County, selected county subdivisions in Wabasha County, and entities that contain Wabasha County
0%2%4%6%Count#Zumbro TownshipZumbroRochester Metro AreaRochesterWabashaMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestPepin TownshipPepinHyde Park TownshipHyde PkElginMazeppa TownshipMazeppaPlainview TownshipPlainviewMazeppaMinneiska TownshipMinneiskaWabasha CountyWabashaHighland TownshipHighlandMillvilleZumbro FallsElgin TownshipElginGreenfield TownshipGreenfieldLake CityWest Albany TownshipW AlbanyLake TownshipChester TownshipChesterGillford TownshipGillfordPlainviewMount Pleasant TownshipMt PleasantKelloggOakwood TownshipOakwoodWatopa TownshipWatopaGlasgow TownshipGlasgowHammondMinneiskaBellechester7.254902%7.254902%7.3%3715.925658%5.925658%5.9%8,5245.078895%5.078895%5.1%10323.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.564103%2.564103%2.6%732.285714%2.285714%2.3%442.263083%2.263083%2.3%1652.014652%2.014652%2.0%1161.955307%1.955307%2.0%771.869159%1.869159%1.9%1081.801802%1.801802%1.8%291.774322%1.774322%1.8%2671.754386%1.754386%1.8%5101.612903%1.612903%1.6%2111.574803%1.574803%1.6%2121.483051%1.483051%1.5%7131.061776%1.061776%1.1%11141.035782%1.035782%1.0%33150.884956%0.884956%0.9%2160.819672%0.819672%0.8%3170.694444%0.694444%0.7%2180.263158%0.263158%0.3%1190.096993%0.096993%0.1%2200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%028
Count number of people in category
# rank of county subdivision out of 28 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 Wabasha County, selected county subdivisions in Wabasha County, and entities that contain Wabasha County
Female
Male
10x5x0x5x10xFM#PlainviewMinneiskaLake TownshipElginGillfordHighlandW AlbanyMillvilleZumbroChesterZumbro FallsGreenfieldWatopaMazeppaElginGlasgowLake CityWabashaBellechesterMt PleasantWabashaMinneiskaHyde PkOakwoodWest North CentralMinnesotaMidwestRochesterUnited StatesKelloggMazeppaPlainviewHammondPepin-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.829%1.83%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.793%13.8%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.538%0.54%6.667%6.67%3-1.000000x-1.000000x5.868027x5.868027x5.87x1.322%1.32%7.755%7.76%4-1.000000x-1.000000x4.837398x4.837398x4.84x1.714%1.71%8.293%8.29%5-1.000000x-1.000000x4.484076x4.484076x4.48x1.563%1.56%7.006%7.01%6-1.000000x-1.000000x3.726496x3.726496x3.73x3.670%3.67%13.675%13.7%7-1.000000x-1.000000x3.698276x3.698276x3.70x6.061%6.06%22.414%22.4%8-1.000000x-1.000000x3.053571x3.053571x3.05x2.593%2.59%7.917%7.92%9-1.000000x-1.000000x2.790353x2.790353x2.79x7.801%7.80%21.769%21.8%10-1.000000x-1.000000x2.031746x2.031746x2.03x9.375%9.38%19.048%19.0%11-1.000000x-1.000000x1.615675x1.615675x1.62x2.569%2.57%4.151%4.15%12-1.000000x-1.000000x1.578947x1.578947x1.58x2.500%2.50%3.947%3.95%13-1.000000x-1.000000x1.543174x1.543174x1.54x8.594%8.59%13.262%13.3%14-1.000000x-1.000000x1.463610x1.463610x1.46x6.011%6.01%8.798%8.80%15-1.000000x-1.000000x1.453846x1.453846x1.45x6.349%6.35%9.231%9.23%16-1.000000x-1.000000x1.412175x1.412175x1.41x6.483%6.48%9.155%9.16%17-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-1.000000x-1.000000x1.300000x1.300000x1.30x15.385%15.4%20.000%20.0%18-1.000000x-1.000000x1.298658x1.298658x1.30x4.651%4.65%6.040%6.04%19-1.000000x-1.000000x1.247188x1.247188x1.25x6.842%6.84%8.533%8.53%20-1.000000x-1.000000x1.227778x1.227778x1.23x17.647%17.6%21.667%21.7%21-1.000000x-1.000000x1.189283x1.189283x1.19x15.116%15.1%17.978%18.0%22-1.000000x-1.000000x1.186275x1.186275x1.19x7.438%7.44%8.824%8.82%23-1.000000x-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-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.631579x-1.631579x1.63x1.000000x1.000000x15.789%15.8%9.677%9.68%24-1.679365x-1.679365x1.68x1.000000x1.000000x8.519%8.52%5.072%5.07%25-1.840826x-1.840826x1.84x1.000000x1.000000x5.118%5.12%2.781%2.78%26-2.083333x-2.083333x2.08x1.000000x1.000000x25.000%25.0%12.000%12.0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.143%2.14%0.000%0%28
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 28 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 Wabasha County, selected county subdivisions in Wabasha County, and entities that contain Wabasha County
Female
Male
10x5x0x5x10xFM#PlainviewGillfordLake TownshipChesterPepinHyde PkZumbro FallsMillvilleLake CityWabashaElginWabashaRochesterMidwestPlainviewWest North CentralUnited StatesMinnesotaHighlandMazeppaZumbroMinneiskaElginGreenfieldMazeppaW Albany-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.199%0.20%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.488%0.49%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.667%1.67%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.361%1.36%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.263%5.26%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.494%4.49%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.175%3.17%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.448%3.45%8-1.000000x-1.000000x3.294246x3.294246x3.29x0.489%0.49%1.612%1.61%9-1.000000x-1.000000x2.701734x2.701734x2.70x2.812%2.81%7.596%7.60%10-1.000000x-1.000000x2.316327x2.316327x2.32x0.881%0.88%2.041%2.04%11-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%-1.000000x-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577236x1.577236x1.58x1.546%1.55%2.439%2.44%12-1.000000x-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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.222930x1.222930x1.22x1.563%1.56%1.911%1.91%13-1.000000x-1.000000x1.173913x1.173913x1.17x1.852%1.85%2.174%2.17%14-1.166667x-1.166667x1.17x1.000000x1.000000x7.778%7.78%6.667%6.67%15-1.176471x-1.176471x1.18x1.000000x1.000000x1.961%1.96%1.667%1.67%16-1.197892x-1.197892x1.20x1.000000x1.000000x2.459%2.46%2.053%2.05%17-2.793149x-2.793149x2.79x1.000000x1.000000x1.581%1.58%0.566%0.57%18-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.906%3.91%0.000%0%19-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.835%1.83%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 Rochester Area

There are 4 counties in the Rochester Area. This section compares Wabasha County to all of the counties in the Rochester Area and to those entities that contain or substantially overlap with Wabasha 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 Wabasha County, selected other counties in the Rochester Area, and entities that contain Wabasha County
0%5%10%Count#United States of AmericaUnited StatesMidwestFillmore CountyFillmoreWest North CentralMinnesotaWabasha CountyWabashaRochester Metro AreaRochesterDodge CountyDodgeOlmsted CountyOlmsted13.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.222022%9.222022%9.2%1,33019.174633%9.174633%9.2%1,278,0511.28M7.376055%7.376055%7.4%270,121270k6.811536%6.811536%6.8%1,02526.187739%6.187739%6.2%8,9015.739196%5.739196%5.7%75735.720978%5.720978%5.7%5,7894
Count number of people in category
# rank of county out of 4 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 Wabasha County, selected other counties in the Rochester Area, and entities that contain Wabasha County
0%10%20%30%40%Count#Olmsted CountyOlmstedRochester Metro AreaRochesterMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestDodge CountyDodgeWabasha CountyWabashaFillmore CountyFillmore41.992707%41.992707%42.0%42,49242.5k135.991908%35.991908%36.0%51,77451.8k34.240609%34.240609%34.2%1,253,9371.25M30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M23.836240%23.836240%23.8%3,144221.238703%21.238703%21.2%3,196320.399390%20.399390%20.4%2,9424
Count number of people in category
# rank of county out of 4 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 Wabasha County, selected other counties in the Rochester Area, and entities that contain Wabasha County
0%2%4%6%Count#Olmsted CountyOlmstedRochester Metro AreaRochesterMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestWabasha CountyWabashaFillmore CountyFillmoreDodge CountyDodge7.785431%7.785431%7.8%7,87815.925658%5.925658%5.9%8,5243.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M1.774322%1.774322%1.8%26721.393704%1.393704%1.4%20131.349507%1.349507%1.3%1784
Count number of people in category
# rank of county out of 4 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 Wabasha County, selected other counties in the Rochester Area, and entities that contain Wabasha County
Female
Male
1x0x1xFM#WabashaFillmoreDodgeWest North CentralMinnesotaMidwestRochesterUnited StatesOlmsted-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%1-1.000000x-1.000000x1.218895x1.218895x1.22x8.324%8.32%10.146%10.1%2-1.000000x-1.000000x1.195088x1.195088x1.20x5.231%5.23%6.251%6.25%3-1.000000x-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-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.055151x1.055151x1.06x5.573%5.57%5.880%5.88%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 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 Wabasha County, selected other counties in the Rochester Area, and entities that contain Wabasha County
Female
Male
1x0x1x2xFM#FillmoreOlmstedWabashaRochesterMidwestWest North CentralUnited StatesMinnesotaDodge-1.000000x-1.000000x2.105903x2.105903x2.11x0.902%0.90%1.900%1.90%1-1.000000x-1.000000x1.681240x1.681240x1.68x5.861%5.86%9.854%9.85%2-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%3-1.000000x-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.028949x1.028949x1.03x1.330%1.33%1.369%1.37%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Educational Attainment by County in Minnesota

There are 87 counties in Minnesota. This section compares Wabasha County to the 50 most populous counties in Minnesota and to those entities that contain or substantially overlap with Wabasha 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 Wabasha County, selected other counties in Minnesota, and entities that contain Wabasha 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 CountyWabashaGoodhue CountyGoodhueItasca CountyItascaAnoka CountyAnokaCrow Wing CountyCrow WingSt. Louis CountySt. LouisNicollet CountyNicolletChisago CountyChisagoRochester Metro AreaRochesterBlue 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%1,025316.738113%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%2,318386.187739%6.187739%6.2%8,9015.782358%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 Wabasha County, selected other counties in Minnesota, and entities that contain Wabasha County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonOlmsted CountyOlmstedRamsey CountyRamseyDakota CountyDakotaScott CountyScottRochester Metro AreaRochesterMinnesotaClay 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%112,130112k638.846845%38.846845%38.8%34,59734.6k735.991908%35.991908%36.0%51,77451.8k34.240609%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 Wabasha County, selected other counties in Minnesota, and entities that contain Wabasha County
0%2%4%6%Count#Olmsted CountyOlmstedRochester Metro AreaRochesterRamsey CountyRamseyHennepin CountyHennepinWashington CountyWashingtonNicollet CountyNicolletMinnesotaBeltrami 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%7,87815.925658%5.925658%5.9%8,5245.718752%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%86753.458748%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 Wabasha County, selected other counties in Minnesota, and entities that contain Wabasha County
Female
Male
1x0x1xFM#SherburneChisagoClayGoodhueBeckerBeltramiToddItascaSteeleWasecaHubbardWabashaMille LacsMowerPineMeekerNicolletWrightIsantiDouglasFreebornMartinNoblesCarltonCarverCassFillmoreRiceMcLeodWinonaMorrisonCrow WingAnokaKandiyohiDodgeLe SueurOtter TailWest North CentralMinnesotaMidwestRochesterScottBlue EarthUnited StatesStearnsSt. LouisWashingtonBentonOlmstedPolkRamseyDakotaHennepinLyonBrown-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-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-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-1.000000x1.064444x1.064444x1.06x7.501%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 Wabasha County, selected other counties in Minnesota, and entities that contain Wabasha County
Female
Male
1x0x1x2x3xFM#MartinOtter TailMeekerKandiyohiCassBrownWasecaWinonaPolkDouglasFillmoreBeckerOlmstedWabashaNoblesSteeleRochesterWashingtonClayFreebornBlue EarthMowerMidwestHubbardWest North CentralWrightGoodhueMille LacsUnited StatesAnokaRamseyPineSt. LouisCrow WingMinnesotaBentonHennepinStearnsItascaScottDakotaLyonCarverIsantiToddNicolletChisagoBeltramiRiceSherburneMcLeodLe 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-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-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-1.000000x1.413446x1.413446x1.41x4.324%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 Wabasha County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Wabasha 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 Wabasha County, selected other counties in the United States, and entities that contain Wabasha 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. LouisWabasha CountyWabashaOakland CountyOaklandRochester Metro AreaRochesterAllegheny 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%48,46648.5k486.811536%6.811536%6.8%1,0256.540987%6.540987%6.5%56,30256.3k496.187739%6.187739%6.2%8,9016.132273%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 Wabasha County, selected other counties in the United States, and entities that contain Wabasha 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 CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookRochester Metro AreaRochesterSuffolk 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 CountyWayneWabasha CountyWabashaRiverside 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%303,182303k1839.069581%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%1,293,5181.29M2335.991908%35.991908%36.0%51,77451.8k34.384794%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%260,985261k4621.238703%21.238703%21.2%3,19621.189043%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 Wabasha County, selected other counties in the United States, and entities that contain Wabasha County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraRochester Metro AreaRochesterNassau 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 CountyPimaHonolulu 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 BernardinoWabasha CountyWabashaBronx 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%79,36779.4k65.925658%5.925658%5.9%8,5245.833659%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%27,43827.4k253.970725%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%23,97124.0k491.774322%1.774322%1.8%2671.664253%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 Wabasha County, selected other counties in the United States, and entities that contain Wabasha County
Female
Male
1x0x1xFM#WabashaMecklenburgPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralMinnesotaHillsboroughFresnoMidwestRochesterDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-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-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-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-1.000000x1.065180x1.065180x1.07x11.337%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 Wabasha County, selected other counties in the United States, and entities that contain Wabasha County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeWabashaBexarMontgomeryPimaRochesterSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoMinnesotaOrangeFresnoHillsboroughHarrisMiami-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-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%-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-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-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-1.000000x1.414670x1.414670x1.41x3.162%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:
Bellechester, Elgin, Hammond, Kellogg, Lake City, Mazeppa, Millville, Minneiska, Plainview, Wabasha, Zumbro Falls
Townships:
Chester, Elgin, Gillford, Glasgow, Greenfield, Highland, Hyde Park, Lake, Mazeppa, Minneiska, Mount Pleasant, Oakwood, Pepin, Plainview, Watopa, West Albany, Zumbro
ZIP Codes:
55027, 55041, 55906, 55910, 55932, 55945, 55956, 55957, 55960, 55964, 55968, 55981, 55991
Unified School Districts:
Goodhue, Lake City, Plainview-Elgin-Millville, Rochester, Wabasha-Kellogg, Winona Area, Zumbrota-Mazeppa
Congressional District:
MN-2
State Senate District:
MN-21
State House Districts:
MN-21A, MN-21B
Neighboring Counties:
Buffalo, Goodhue, Olmsted, Pepin, Winona
Nearby Counties:
Dakota, Dodge, Dunn, Fillmore, Houston, Mower, Pierce, St. Croix, Trempealeau, Washington