Educational Attainment in Norman County, Minnesota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Minnesota and Norman County
Norman County
Minnesota
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma228.847807%45.216942%28.847807%28.8%1,34261.414445%47.407004%61.414445%61.4%2,8579.737747%7.376055%9.737747%9.7%453
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 Norman County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-36.201330%-36.201330%-36.2%28.848%28.8%45.217%45.2%29.547199%29.547199%+29.5%61.414%61.4%47.407%47.4%32.018374%32.018374%+32.0%9.738%9.74%7.376%7.38%
% percentage with given level in Norman 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 Norman County
Norman County
Minnesota
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.322442%1.366389%0.322442%0.3%150.451419%2.092359%0.451419%0.5%211.870163%8.000226%1.870163%1.9%8713.026655%22.781635%13.026655%13.0%60613.177128%10.976332%13.177128%13.2%61320.485813%21.730308%20.485813%20.5%95340.928633%25.676696%40.928633%40.9%1,9045.460017%4.319913%5.460017%5.5%2543.611350%1.957001%3.611350%3.6%1680.666380%1.099141%0.666380%0.7%31
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 Norman County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-76.401893%-76.401893%-76.4%0.322%0.32%1.366%1.37%-78.425371%-78.425371%-78.4%0.451%0.45%2.092%2.09%-76.623619%-76.623619%-76.6%1.870%1.87%8.000%8.00%-42.819489%-42.819489%-42.8%13.027%13.0%22.782%22.8%20.050374%20.050374%+20.1%13.177%13.2%10.976%11.0%-5.727004%-5.727004%-5.7%20.486%20.5%21.730%21.7%59.399922%59.399922%+59.4%40.929%40.9%25.677%25.7%26.391835%26.391835%+26.4%5.460%5.46%4.320%4.32%84.534903%84.534903%+84.5%3.611%3.61%1.957%1.96%-39.372626%-39.372626%-39.4%0.666%0.67%1.099%1.10%
% percentage with given level in Norman 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 Norman County
More Females More Males
Minnesota
Norman County
20%10%0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-22.397206%-7.094129%-22.397206%22%31.737%31.7%25.929%25.9%8.442647%4.644972%8.442647%8%58.939%58.9%63.915%63.9%8.916210%13.638813%8.916210%9%9.324%9.32%10.156%10.2%
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 Norman County
More Females More Males
Minnesota
Norman County
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%46.084775%1,000.000000%> 1000%0.000%0%0.648%0.65%-493.840890%-493.840890%494%49.436197%0.770%0.77%0.130%0.13%-22.131208%24.353434%24.353434%24%1.668%1.67%2.074%2.07%-39.982414%-6.225334%-39.982414%40%15.184%15.2%10.847%10.8%-15.410774%-14.436796%-15.410774%15%14.115%14.1%12.230%12.2%-1.393757%15.828642%15.828642%16%18.991%19.0%21.997%22.0%4.931531%10.026271%4.931531%5%39.949%39.9%41.919%41.9%34.407238%29.029778%34.407238%34%4.662%4.66%6.266%6.27%-8.870830%-8.870830%9%5.463227%3.764%3.76%3.457%3.46%-107.844311%-26.769029%-107.844311%108%0.898%0.90%0.432%0.43%
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 Norman County
Norman County
Minnesota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-347.118176%15.674649%7.118176%7.1%1031,44714.009662%21.754200%14.009662%14.0%2611,86316.234652%26.172525%16.234652%16.2%11973320.197044%29.184434%20.197044%20.2%123609
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 Norman County
50%40%30%20%10%0%%ref.65+45-6435-4425-34-54.587976%-54.587976%54.6%7.118%7.12%15.675%15.7%-35.600196%-35.600196%35.6%14.010%14.0%21.754%21.8%-37.970630%-37.970630%38.0%16.235%16.2%26.173%26.2%-30.795148%-30.795148%30.8%20.197%20.2%29.184%29.2%
% percentage in Norman 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 Norman County
More Females More Males
Minnesota
Norman County
80%60%40%20%0%20%FM65+45-6435-4425-3427.449132%20.814223%27.449132%27.4%6.314%6.31%8.048%8.05%-57.272297%-6.871300%-57.272297%57.3%17.238%17.2%10.960%11.0%-49.475254%-16.463598%-49.475254%49.5%19.407%19.4%12.983%13.0%-95.757576%-19.935695%-95.757576%95.8%27.273%27.3%13.932%13.9%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Minnesota and Norman County
Norman County
Minnesota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$51,250.000000$68,001.000000$51,250.000000$51.3k1232.644%2.64%$40,407.000000$52,072.000000$40,407.000000$40.4k60613.027%13.0%$35,646.000000$36,939.000000$35,646.000000$35.6k1,56633.663%33.7%$29,972.000000$31,011.000000$29,972.000000$30.0k1,90440.929%40.9%$23,906.000000$22,379.000000$23,906.000000$23.9k4539.738%9.74%$32,855.000000$40,804.000000$32,855.000000$32.9k4,652100.000%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 Norman County
Female Male
Minnesota
Norman County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-47,188.000000$-60,699.000000$-47,188.000000$47.2k$47,188.000000$16,562.000000$60,699.000000$20,223.000000$63,750.000000$63.8k5766$-36,250.000000$-43,209.000000$-36,250.000000$36.3k$36,250.000000$8,021.000000$43,209.000000$20,301.000000$44,271.000000$44.3k355251$-27,436.000000$-30,960.000000$-27,436.000000$27.4k$27,436.000000$15,864.000000$30,960.000000$13,760.000000$43,300.000000$43.3k774792$-22,292.000000$-24,260.000000$-22,292.000000$22.3k$22,292.000000$14,008.000000$24,260.000000$12,346.000000$36,300.000000$36.3k934970$-15,000.000000$-17,131.000000$-15,000.000000$15.0k$15,000.000000$12,054.000000$17,131.000000$9,376.000000$27,054.000000$27.1k218235$-26,725.000000$-34,315.000000$-26,725.000000$26.7k$26,725.000000$13,832.000000$34,315.000000$12,949.000000$40,557.000000$40.6k2,3382,314
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 Norman County
Norman County
Minnesota
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%35.183299%0100.000000%56.313646%100.000000%100.0%10.000000%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 Norman County
Norman County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.858569%87.405591%84.858569%84.9%51084.316770%81.736852%84.316770%84.3%1,08670.567057%74.314958%70.567057%70.6%78468.292683%58.425001%68.292683%68.3%140
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 Norman County
Female Male
Minnesota
Norman County
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-7.657038%-4.270697%-7.657038%7.7%7.657038%0.966902%4.270697%1.199676%8.623940%8.6%183167-0.000000%-15.996843%-5.794594%0.000000%0.0%0.000000%0.000000%15.996843%0.000000%0.0%00-0.000000%-17.242336%-6.032412%0.000000%0.0%0.000000%0.000000%17.242336%0.000000%0.0%00-47.560976%-17.144907%-32.943822%-64.705882%64.7%47.560976%32.943822%5.005995%47.560976%47.6%3933-16.190476%-15.724417%-21.417113%-31.914894%31.9%16.190476%21.417113%5.201726%16.190476%16.2%1730
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 Norman County
Female Male
Minnesota
Norman County
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1BlackAsianHispanic2Other1-13.572102%-4.538856%-34.661162%-1.797325%-18.110958%18.1%13.572102%34.661162%13.572102%13.6%288395-0.000000%-18.524426%0.000000%0.0%0.000000%100.000000%18.524426%2.990804%100.000000%100.0%60-42.105263%-41.369118%-42.105263%42.1%42.105263%57.894737%41.369118%3.173947%100.000000%100.0%108-3.658537%-4.184601%-15.584176%-2.395113%-7.843137%7.8%3.658537%15.584176%3.658537%3.7%34-5.319149%-17.924863%-3.708263%-5.319149%5.3%5.319149%4.204661%17.924863%9.523810%9.5%105
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 Norman 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
14%21%27%33%39%46%

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
39%48%57%66%74%83%

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%16%25%33%41%

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%0.29%0.59%0.88%1.18%1.48%

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%1.3%2.5%3.8%5.1%6.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.0%6.1%9.1%12.1%15.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%8%14%20%26%32%

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
3%9%15%21%27%34%

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%16%24%32%40%49%

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
14%23%32%41%50%59%

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%6%12%17%23%29%

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%2.4%4.8%7.3%9.7%12.2%

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%1.2%2.4%3.6%4.8%6.1%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Norman County

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.2%28.1%29.0%29.8%30.7%31.6%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
58.0%59.3%60.4%61.6%62.8%64.0%

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
7.2%8.6%9.9%11.2%12.5%13.9%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.07%0.20%0.32%0.43%0.55%0.68%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.303%0.351%0.398%0.445%0.493%0.540%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.61%1.74%1.86%1.98%2.10%2.23%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.8%11.6%12.3%13.0%13.8%14.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.4%12.0%12.5%13.0%13.5%14.0%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
15.3%17.0%18.6%20.2%21.9%23.6%

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
36.0%38.0%40.0%41.9%43.9%45.9%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
3.9%4.9%5.8%6.8%7.8%8.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.69%3.02%3.35%3.68%4.00%4.33%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.593%0.627%0.660%0.693%0.726%0.760%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Norman County

There are 8 places in Norman County. This section compares all 8 of those to each other, Norman County, and other entities that contain or substantially overlap with Norman 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 Norman County, selected places in Norman County, and entities that contain Norman County
0%10%20%30%40%Count#PerleyHalstadTwin ValleyUnited States of AmericaUnited StatesMidwestNorman CountyNormanWest North CentralAdaHendrumShellyMinnesotaGaryBorup40.909091%40.909091%40.9%27124.113475%24.113475%24.1%102213.373253%13.373253%13.4%67313.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.737747%9.737747%9.7%4539.174633%9.174633%9.2%1,278,0511.28M8.578856%8.578856%8.6%9948.500000%8.500000%8.5%1757.766990%7.766990%7.8%867.376055%7.376055%7.4%270,121270k7.017544%7.017544%7.0%1270.000000%0.000000%0.0%08
Count number of people in category
# rank of place out of 8 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 Norman County, selected places in Norman County, and entities that contain Norman County
0%10%20%30%Count#MinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestAdaHalstadNorman CountyNormanHendrumTwin ValleyBorupShellyPerleyGary34.240609%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%13,118,64213.1M18.630849%18.630849%18.6%215117.021277%17.021277%17.0%72215.670679%15.670679%15.7%72915.500000%15.500000%15.5%31312.574850%12.574850%12.6%63410.975610%10.975610%11.0%957.766990%7.766990%7.8%867.575758%7.575758%7.6%575.847953%5.847953%5.8%108
Count number of people in category
# rank of place out of 8 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 Norman County, selected places in Norman County, and entities that contain Norman County
0%1%2%3%Count#MinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestAdaNorman CountyNormanTwin ValleyGaryHendrumHalstadShellyBorupPerley3.458748%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%1,311,0191.31M1.299827%1.299827%1.3%1510.773861%0.773861%0.8%360.598802%0.598802%0.6%320.584795%0.584795%0.6%130.500000%0.500000%0.5%140.000000%0.000000%0.0%050.000000%0.000000%0.0%060.000000%0.000000%0.0%070.000000%0.000000%0.0%08
Count number of people in category
# rank of place out of 8 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 Norman County, selected places in Norman County, and entities that contain Norman County
Female
Male
1x0x1x2xFM#GaryShellyWest North CentralMinnesotaMidwestPerleyUnited StatesTwin ValleyNormanHalstadAdaHendrum-1.000000x-1.000000x2.896552x2.896552x2.90x3.571%3.57%10.345%10.3%1-1.000000x-1.000000x1.512346x1.512346x1.51x6.122%6.12%9.259%9.26%2-1.000000x-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-1.000000x1.114286x1.114286x1.11x38.889%38.9%43.333%43.3%3-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.098623x1.098623x1.10x12.782%12.8%14.043%14.0%4-1.000000x-1.000000x1.089162x1.089162x1.09x9.324%9.32%10.156%10.2%-1.052814x-1.052814x1.05x1.000000x1.000000x24.675%24.7%23.438%23.4%5-1.294723x-1.294723x1.29x1.000000x1.000000x9.524%9.52%7.356%7.36%6-1.547619x-1.547619x1.55x1.000000x1.000000x10.417%10.4%6.731%6.73%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

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 Norman County, selected places in Norman County, and entities that contain Norman County
Female
Male
10x5x0x5x10xFM#Twin ValleyAdaMidwestWest North CentralUnited StatesMinnesotaNormanHendrumGary-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.277%1.28%1-1.000000x-1.000000x2.588469x2.588469x2.59x0.768%0.77%1.988%1.99%2-1.000000x-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-1.000000x1.010372x1.010372x1.01x0.770%0.77%0.778%0.78%-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.042%1.04%0.000%0%3-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.190%1.19%0.000%0%4
F percentage of females in category
M percentage of males in category
# rank of place out of 4 by male-to-female sex ratio

Educational Attainment by County Subdivision in Norman County

There are 32 county subdivisions in Norman County. This section compares all 32 of those to each other, Norman County, and other entities that contain or substantially overlap with Norman 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 Norman County, selected county subdivisions in Norman County, and entities that contain Norman County
0%10%20%30%40%Count#PerleyHalstadStrand TownshipStrandTwin ValleyUnited States of AmericaUnited StatesSpring Creek TownshipSpg CrkSundal TownshipSundalMidwestFlom TownshipNorman CountyNormanWest North CentralWild Rice TownshipWild RiceHegne TownshipHegneWaukon TownshipWaukonAdaHendrumHendrum TownshipHendrumShellyMinnesotaAnthony TownshipAnthonyGaryShelly TownshipShellyRockwell TownshipRockwellMary TownshipLockhart TownshipLockhartMcDonaldsville TownshipMcDonaldsvilleBear Park TownshipBear PkFossum TownshipFossumPleasant View TownshipPleasant VwGood Hope TownshipGood HopeHalstad TownshipHalstadHome Lake TownshipHome LkLake Ida TownshipLk IdaLee TownshipBorupGreen Meadow TownshipGrn MdwWinchester TownshipWinchester40.909091%40.909091%40.9%27124.113475%24.113475%24.1%102215.492958%15.492958%15.5%11313.373253%13.373253%13.4%67413.020590%13.020590%13.0%27,818,38027.8M11.904762%11.904762%11.9%5510.989011%10.989011%11.0%10610.244520%10.244520%10.2%4,641,8354.64M9.790210%9.790210%9.8%1479.737747%9.737747%9.7%4539.174633%9.174633%9.2%1,278,0511.28M9.090909%9.090909%9.1%1889.090909%9.090909%9.1%398.602151%8.602151%8.6%8108.578856%8.578856%8.6%99118.500000%8.500000%8.5%17128.064516%8.064516%8.1%5137.766990%7.766990%7.8%8147.376055%7.376055%7.4%270,121270k7.317073%7.317073%7.3%3157.017544%7.017544%7.0%12166.818182%6.818182%6.8%6176.349206%6.349206%6.3%4186.122449%6.122449%6.1%3196.000000%6.000000%6.0%3205.607477%5.607477%5.6%6214.838710%4.838710%4.8%6224.464286%4.464286%4.5%5233.448276%3.448276%3.4%3243.225806%3.225806%3.2%1252.941176%2.941176%2.9%2262.352941%2.352941%2.4%2271.941748%1.941748%1.9%2281.098901%1.098901%1.1%1290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%032
Count number of people in category
# rank of county subdivision out of 32 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 Norman County, selected county subdivisions in Norman County, and entities that contain Norman County
0%10%20%30%Count#MinnesotaHegne TownshipHegneFossum TownshipFossumLockhart TownshipLockhartUnited States of AmericaUnited StatesWest North CentralMidwestHalstad TownshipHalstadHendrum TownshipHendrumLake Ida TownshipLk IdaStrand TownshipStrandFlom TownshipMcDonaldsville TownshipMcDonaldsvilleAdaMary TownshipShelly TownshipShellyLee TownshipGreen Meadow TownshipGrn MdwHalstadNorman CountyNormanHendrumHome Lake TownshipHome LkPleasant View TownshipPleasant VwTwin ValleyBear Park TownshipBear PkBorupSundal TownshipSundalGood Hope TownshipGood HopeRockwell TownshipRockwellShellyPerleyAnthony TownshipAnthonyWild Rice TownshipWild RiceGaryWinchester TownshipWinchesterSpring Creek TownshipSpg CrkWaukon TownshipWaukon34.240609%34.240609%34.2%1,253,9371.25M33.333333%33.333333%33.3%11132.142857%32.142857%32.1%36232.000000%32.000000%32.0%16330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.941176%27.941176%27.9%19424.193548%24.193548%24.2%15521.359223%21.359223%21.4%22621.126761%21.126761%21.1%15720.279720%20.279720%20.3%29819.626168%19.626168%19.6%21918.630849%18.630849%18.6%2151018.367347%18.367347%18.4%91118.181818%18.181818%18.2%161217.582418%17.582418%17.6%161317.460317%17.460317%17.5%111417.021277%17.021277%17.0%721515.670679%15.670679%15.7%72915.500000%15.500000%15.5%311615.294118%15.294118%15.3%131713.793103%13.793103%13.8%121812.574850%12.574850%12.6%631912.096774%12.096774%12.1%152010.975610%10.975610%11.0%9219.890110%9.890110%9.9%9229.677419%9.677419%9.7%3237.936508%7.936508%7.9%5247.766990%7.766990%7.8%8257.575758%7.575758%7.6%5267.317073%7.317073%7.3%3276.565657%6.565657%6.6%13285.847953%5.847953%5.8%10295.263158%5.263158%5.3%3304.761905%4.761905%4.8%2312.150538%2.150538%2.2%232
Count number of people in category
# rank of county subdivision out of 32 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 Norman County, selected county subdivisions in Norman County, and entities that contain Norman County
0%1%2%3%4%5%6%Count#Rockwell TownshipRockwellMary TownshipMinnesotaUnited States of AmericaUnited StatesGood Hope TownshipGood HopeWest North CentralLake Ida TownshipLk IdaMidwestPleasant View TownshipPleasant VwHalstad TownshipHalstadAdaWild Rice TownshipWild RiceBear Park TownshipBear PkNorman CountyNormanTwin ValleyGaryHendrumHalstadFlom TownshipShellyFossum TownshipFossumMcDonaldsville TownshipMcDonaldsvilleSundal TownshipSundalShelly TownshipShellyHome Lake TownshipHome LkLee TownshipWaukon TownshipWaukonBorupStrand TownshipStrandHendrum TownshipHendrumGreen Meadow TownshipGrn MdwWinchester TownshipWinchesterPerleySpring Creek TownshipSpg CrkAnthony TownshipAnthonyLockhart TownshipLockhartHegne TownshipHegne6.349206%6.349206%6.3%414.081633%4.081633%4.1%223.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.225806%3.225806%3.2%132.978981%2.978981%3.0%414,980415k2.912621%2.912621%2.9%342.893416%2.893416%2.9%1,311,0191.31M2.298851%2.298851%2.3%251.470588%1.470588%1.5%161.299827%1.299827%1.3%1571.010101%1.010101%1.0%280.806452%0.806452%0.8%190.773861%0.773861%0.8%360.598802%0.598802%0.6%3100.584795%0.584795%0.6%1110.500000%0.500000%0.5%1120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%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%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%032
Count number of people in category
# rank of county subdivision out of 32 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 Norman County, selected county subdivisions in Norman County, and entities that contain Norman County
Female
Male
0x5x10xFM#Lk IdaShellyHome LkLee TownshipPleasant VwHendrumHalstadMary TownshipLockhartGood HopeStrandBear PkWaukonGarySundalAnthonyMcDonaldsvilleShellyWild RiceWest North CentralMinnesotaMidwestPerleyUnited StatesTwin ValleyNormanRockwellHalstadAdaSpg CrkFossumHendrumFlom TownshipHegne-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.922%3.92%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.245%12.2%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.444%4.44%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.000%2.00%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.769%5.77%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.152%15.2%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.405%5.41%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.677%9.68%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.000%12.0%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.556%5.56%10-1.000000x-1.000000x5.484375x5.484375x5.48x5.128%5.13%28.125%28.1%11-1.000000x-1.000000x3.493151x3.493151x3.49x1.961%1.96%6.849%6.85%12-1.000000x-1.000000x3.171875x3.171875x3.17x3.448%3.45%10.938%10.9%13-1.000000x-1.000000x2.896552x2.896552x2.90x3.571%3.57%10.345%10.3%14-1.000000x-1.000000x2.604651x2.604651x2.60x6.250%6.25%16.279%16.3%15-1.000000x-1.000000x1.904762x1.904762x1.90x5.000%5.00%9.524%9.52%16-1.000000x-1.000000x1.566667x1.566667x1.57x4.255%4.26%6.667%6.67%17-1.000000x-1.000000x1.512346x1.512346x1.51x6.122%6.12%9.259%9.26%18-1.000000x-1.000000x1.478992x1.478992x1.48x7.292%7.29%10.784%10.8%19-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.114286x1.114286x1.11x38.889%38.9%43.333%43.3%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.098623x1.098623x1.10x12.782%12.8%14.043%14.0%21-1.000000x-1.000000x1.089162x1.089162x1.09x9.324%9.32%10.156%10.2%-1.000000x-1.000000x1.032258x1.032258x1.03x6.250%6.25%6.452%6.45%22-1.052814x-1.052814x1.05x1.000000x1.000000x24.675%24.7%23.438%23.4%23-1.294723x-1.294723x1.29x1.000000x1.000000x9.524%9.52%7.356%7.36%24-1.333333x-1.333333x1.33x1.000000x1.000000x14.286%14.3%10.714%10.7%25-1.500000x-1.500000x1.50x1.000000x1.000000x5.357%5.36%3.571%3.57%26-1.547619x-1.547619x1.55x1.000000x1.000000x10.417%10.4%6.731%6.73%27-1.930435x-1.930435x1.93x1.000000x1.000000x13.043%13.0%6.757%6.76%28-3.076923x-3.076923x3.08x1.000000x1.000000x15.385%15.4%5.000%5.00%29
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 29 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 Norman County, selected county subdivisions in Norman County, and entities that contain Norman County
Female
Male
10x5x0x5x10xFM#Twin ValleyHalstadGood HopeAdaLk IdaMidwestWest North CentralUnited StatesMinnesotaNormanWild RiceHendrumGaryBear PkPleasant VwRockwellMary Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.277%1.28%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.703%2.70%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.556%5.56%3-1.000000x-1.000000x2.588469x2.588469x2.59x0.768%0.77%1.988%1.99%4-1.000000x-1.000000x2.039216x2.039216x2.04x1.923%1.92%3.922%3.92%5-1.000000x-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-1.000000x1.010372x1.010372x1.01x0.770%0.77%0.778%0.78%-1.062500x-1.062500x1.06x1.000000x1.000000x1.042%1.04%0.980%0.98%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.042%1.04%0.000%0%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.190%1.19%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.961%1.96%0.000%0%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.714%5.71%0.000%0%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x12.500%12.5%0.000%0%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x11.111%11.1%0.000%0%12
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 12 by male-to-female sex ratio

Educational Attainment by County in Minnesota

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

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 Norman County, selected other counties in Minnesota, and entities that contain Norman County
0%5%10%15%20%Count#Nobles CountyNoblesMower CountyMowerUnited States of AmericaUnited StatesTodd CountyToddKandiyohi CountyKandiyohiFreeborn CountyFreebornPine CountyPineMorrison CountyMorrisonMidwestMille Lacs CountyMille LacsRice CountyRiceMartin CountyMartinBeltrami CountyBeltramiNorman CountyNormanRamsey 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 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%2,693119.737747%9.737747%9.7%4539.707847%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%2,318385.782358%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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Norman County, selected other counties in Minnesota, and entities that contain Norman County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonOlmsted CountyOlmstedRamsey CountyRamseyDakota CountyDakotaScott 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 CountyMorrisonNorman CountyNormanMille 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%34,59734.6k734.240609%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%3,6634615.670679%15.670679%15.7%72915.618478%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#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 Norman County, selected other counties in Minnesota, and entities that contain Norman County
0%2%4%6%Count#Olmsted CountyOlmstedRamsey 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 CountyPineNorman CountyNorman7.785431%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%86753.458748%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%168500.773861%0.773861%0.8%36
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#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 Norman County, selected other counties in Minnesota, and entities that contain Norman County
Female
Male
1x0x1xFM#SherburneChisagoClayGoodhueBeckerBeltramiToddItascaSteeleWasecaHubbardWabashaMille LacsMowerPineMeekerNicolletWrightIsantiDouglasFreebornMartinNoblesCarltonCarverCassFillmoreRiceMcLeodWinonaMorrisonCrow WingAnokaKandiyohiDodgeLe SueurOtter TailWest North CentralMinnesotaMidwestScottBlue EarthUnited StatesStearnsSt. LouisNormanWashingtonBentonOlmstedPolkRamseyDakotaHennepinLyonBrown-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-1.000000x1.089162x1.089162x1.09x9.324%9.32%10.156%10.2%-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#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 Norman County, selected other counties in Minnesota, and entities that contain Norman County
Female
Male
1x0x1x2x3xFM#MartinOtter TailMeekerKandiyohiCassBrownWasecaWinonaPolkDouglasFillmoreBeckerOlmstedWabashaNoblesSteeleWashingtonClayFreebornBlue EarthMowerMidwestHubbardWest North CentralWrightGoodhueMille LacsUnited StatesAnokaRamseyPineSt. LouisCrow WingMinnesotaBentonHennepinStearnsItascaScottDakotaLyonCarverIsantiToddNicolletChisagoBeltramiRiceSherburneMcLeodLe SueurDodgeNormanMorrisonCarlton-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-1.000000x1.413446x1.413446x1.41x4.324%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%48-1.000000x-1.000000x1.010372x1.010372x1.01x0.770%0.77%0.778%0.78%-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 Norman County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Norman County. The least populous of the compared counties has a population of 941,618.

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 Norman County, selected other counties in the United States, and entities that contain Norman 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 CountySuffolkNorman CountyNormanFranklin CountyFranklinWest North CentralNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMinnesotaMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny 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%102,414102k379.737747%9.737747%9.7%4539.640656%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%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Norman County, selected other counties in the United States, and entities that contain Norman 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 CountyCookSuffolk CountySuffolkMinnesotaPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisWest North CentralMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronxNorman CountyNorman60.434640%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%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.240609%34.240609%34.2%1,253,9371.25M34.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3830.056536%30.056536%30.1%4,186,9564.19M29.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k5015.670679%15.670679%15.7%729
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 Norman County, selected other counties in the United States, and entities that contain Norman 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 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 BernardinoBronx CountyBronxNorman CountyNorman12.399695%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%27,43827.4k253.970725%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%23,97124.0k491.664253%1.664253%1.7%15,06415.1k500.773861%0.773861%0.8%36
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 Norman County, selected other counties in the United States, and entities that contain Norman County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralMinnesotaHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaNormanSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt 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-1.000000x1.180227x1.180227x1.18x7.089%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-1.000000x1.089162x1.089162x1.09x9.324%9.32%10.156%10.2%-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#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 Norman County, selected other counties in the United States, and entities that contain Norman County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoMinnesotaOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronxNorman-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%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%50-1.000000x-1.000000x1.010372x1.010372x1.01x0.770%0.77%0.778%0.78%
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:
Ada, Borup, Gary, Halstad, Hendrum, Perley, Shelly, Twin Valley
Townships:
Anthony, Bear Park, Flom, Fossum, Good Hope, Green Meadow, Halstad, Hegne, Hendrum, Home Lake, Lake Ida, Lee, Lockhart, Mary, McDonaldsville, Pleasant View, Rockwell, Shelly, Spring Creek, Strand, Sundal, Waukon, Wild Rice, Winchester
ZIP Codes:
56510, 56516, 56519, 56540, 56541, 56545, 56548, 56550, 56557, 56574, 56581, 56584, 58219
Unified School Districts:
Ada-Borup, Climax-Shelly, Fertile-Beltrami, Mahnomen, Norman County East, Norman County West, Waubun-Ogema-White Earth
Congressional District:
MN-7
State Senate District:
MN-4
State House District:
MN-4B
Neighboring Counties:
Becker, Cass, Clay, Mahnomen, Polk, Traill
Nearby Counties:
Pennington, Red Lake