Educational Attainment in Brown County, South Dakota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of South Dakota and Brown County
Brown County
South Dakota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma238.370452%38.496767%38.370452%38.4%9,78653.869981%52.689696%53.869981%53.9%13,73913.7k7.759567%8.813537%7.759567%7.8%1,979
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 South Dakota at large.
Scope: population of South Dakota and Brown County
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-0.328119%-0.328119%-0.3%38.370%38.4%38.497%38.5%2.240068%2.240068%+2.2%53.870%53.9%52.690%52.7%-11.958532%-11.958532%-12.0%7.760%7.76%8.814%8.81%
% percentage with given level in Brown County
ref. percentage with given level in South Dakota
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 South Dakota and Brown County
Brown County
South Dakota
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.415464%1.153099%1.415464%1.4%3611.172365%1.361153%1.172365%1.2%2995.175659%5.574870%5.175659%5.2%1,32020.161543%19.361214%20.161543%20.2%5,14210.445420%11.046431%10.445420%10.4%2,66421.118256%21.854804%21.118256%21.1%5,38632.751725%30.834892%32.751725%32.8%8,3533.720985%5.163973%3.720985%3.7%9493.646487%3.038519%3.646487%3.6%9300.392095%0.611046%0.392095%0.4%100
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 South Dakota at large.
Scope: population of South Dakota and Brown County
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None22.753038%22.753038%+22.8%1.415%1.42%1.153%1.15%-13.869696%-13.869696%-13.9%1.172%1.17%1.361%1.36%-7.160902%-7.160902%-7.2%5.176%5.18%5.575%5.57%4.133673%4.133673%+4.1%20.162%20.2%19.361%19.4%-5.440770%-5.440770%-5.4%10.445%10.4%11.046%11.0%-3.370190%-3.370190%-3.4%21.118%21.1%21.855%21.9%6.216442%6.216442%+6.2%32.752%32.8%30.835%30.8%-27.943363%-27.943363%-27.9%3.721%3.72%5.164%5.16%20.008702%20.008702%+20.0%3.646%3.65%3.039%3.04%-35.832056%-35.832056%-35.8%0.392%0.39%0.611%0.61%
% percentage with given level in Brown County
ref. percentage with given level in South Dakota
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 South Dakota and Brown County
More Females More Males
South Dakota
Brown County
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-10.551061%-11.440606%-10.551061%11%40.231%40.2%36.392%36.4%3.788851%4.342895%3.788851%4%52.899%52.9%54.903%54.9%26.716626%24.488820%26.716626%27%6.870%6.87%8.706%8.71%
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 South Dakota and Brown County
More Females More Males
South Dakota
Brown County
0%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None173.754366%66.034744%173.754366%174%0.768%0.77%2.104%2.10%99.393204%65.400121%99.393204%99%0.791%0.79%1.578%1.58%-84.900873%-30.859159%-84.900873%85%6.657%6.66%3.600%3.60%-20.866707%-15.643084%-20.866707%21%22.002%22.0%18.204%18.2%-10.617358%8.928891%8.928891%9%10.012%10.0%10.906%10.9%-8.134845%4.309266%4.309266%4%20.686%20.7%21.578%21.6%3.454651%13.672207%3.454651%3%32.212%32.2%33.325%33.3%45.955825%26.248786%45.955825%46%3.043%3.04%4.442%4.44%13.432578%29.328538%13.432578%13%3.424%3.42%3.883%3.88%-6.039808%-9.020635%-6.039808%6%0.403%0.40%0.380%0.38%
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 South Dakota and Brown County
Brown County
South Dakota
0%5%10%15%20%B.X.Total65+45-6435-4425-3412.165929%13.730468%12.165929%12.2%7426,09922.878192%18.939283%22.878192%22.9%2,2679,90924.545030%22.716579%24.545030%24.5%1,0524,28620.748560%23.787833%20.748560%20.7%1,0815,210
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 South Dakota at large.
Scope: population of South Dakota and Brown County
10%5%0%5%10%15%20%%ref.65+45-6435-4425-34-11.394651%-11.394651%11.4%12.166%12.2%13.730%13.7%20.797558%20.797558%20.8%22.878%22.9%18.939%18.9%8.048972%8.048972%8.0%24.545%24.5%22.717%22.7%-12.776583%-12.776583%12.8%20.749%20.7%23.788%23.8%
% percentage in Brown County with a Bachelor's degree
ref percentage in South Dakota 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 South Dakota and Brown County
More Females More Males
South Dakota
Brown County
60%40%20%0%FM65+45-6435-4425-34-1.862210%-1.862210%1.9%19.642769%12.261%12.3%12.037%12.0%-12.500019%-18.101107%-12.500019%12.5%24.210%24.2%21.520%21.5%-25.651268%-31.977233%-25.651268%25.7%27.376%27.4%21.787%21.8%-75.387123%-34.150844%-75.387123%75.4%26.667%26.7%15.204%15.2%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of South Dakota and Brown County
Brown County
South Dakota
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$46,838.000000$51,628.000000$46,838.000000$46.8k1,9807.763%7.76%$41,919.000000$40,871.000000$41,919.000000$41.9k5,14220.162%20.2%$36,121.000000$32,390.000000$36,121.000000$36.1k8,05031.564%31.6%$29,313.000000$28,476.000000$29,313.000000$29.3k8,35332.752%32.8%$20,833.000000$21,966.000000$20,833.000000$20.8k1,9797.760%7.76%$35,883.000000$33,634.000000$35,883.000000$35.9k25,50425.5k100.000%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 South Dakota and Brown County
Female Male
South Dakota
Brown County
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-39,279.000000$-46,434.000000$-39,279.000000$39.3k$39,279.000000$14,610.000000$46,434.000000$13,919.000000$53,889.000000$53.9k1,080900$-35,939.000000$-35,146.000000$-35,939.000000$35.9k$35,939.000000$18,827.000000$35,146.000000$15,358.000000$54,766.000000$54.8k2,8922,250$-28,598.000000$-26,605.000000$-28,598.000000$28.6k$28,598.000000$13,087.000000$26,605.000000$14,085.000000$41,685.000000$41.7k4,0354,015$-23,333.000000$-22,122.000000$-23,333.000000$23.3k$23,333.000000$14,359.000000$22,122.000000$12,398.000000$37,692.000000$37.7k4,2344,119$-10,789.000000$-15,342.000000$-10,789.000000$10.8k$10,789.000000$19,264.000000$15,342.000000$10,851.000000$30,053.000000$30.1k9031,076$-29,307.000000$-27,891.000000$-29,307.000000$29.3k$29,307.000000$12,595.000000$27,891.000000$12,482.000000$41,902.000000$41.9k13,14413.1k12,36012.4k
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 South Dakota and Brown County
Brown County
South Dakota
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%31.710286%0100.000000%63.055386%100.000000%100.0%130.000000%0.000000%0.0%4.930006%00.000000%0.000000%0.0%0.304321%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 South Dakota and Brown County
Brown County
South Dakota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma392.067227%87.531563%92.067227%92.1%5,47884.668158%81.358494%84.668158%84.7%5,67778.841832%76.838929%78.841832%78.8%4,56171.191710%57.693088%71.191710%71.2%687
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 South Dakota and Brown County
Female Male
South Dakota
Brown County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-6.035337%-5.854842%-6.035337%6.0%6.035337%1.772942%5.854842%2.038878%7.808279%7.8%896731-0.000000%-26.737968%-18.732724%-12.182582%-26.737968%26.7%0.000000%18.732724%0.000000%0.0%050-27.636364%-27.473684%-0.281536%-27.636364%27.6%27.636364%26.738636%27.473684%54.375000%54.4%8776-9.090909%-26.629041%-9.090909%9.1%9.090909%26.909091%26.629041%3.819203%36.000000%36.0%9015-0.804290%-9.372702%-20.590618%-10.176991%10.2%0.804290%20.590618%1.562078%0.804290%0.8%346
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 South Dakota and Brown County
Female Male
South Dakota
Brown County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-25.821351%-4.669072%-27.562779%-3.019821%-30.490423%30.5%25.821351%27.562779%25.821351%25.8%2,9633,693-34.545455%-3.422460%-18.951766%-37.967914%38.0%34.545455%18.951766%1.715893%34.545455%34.5%3871-20.000000%-21.818182%-39.356148%-41.818182%41.8%20.000000%39.356148%4.573676%20.000000%20.0%32115-14.800000%-22.169697%-15.331808%-2.010419%-36.969697%37.0%14.800000%15.331808%14.800000%14.8%3761-7.079646%-9.360826%-4.310890%-7.079646%7.1%7.079646%14.368075%9.360826%21.447721%21.4%8032
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 Brown 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
0%20%40%60%80%100%

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
0%20%40%60%80%100%

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%10%20%30%40%50%

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%1.1%2.2%3.4%4.5%5.6%

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%6%11%17%23%29%

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%20%40%60%80%100%

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
0%15%30%45%59%75%

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
0%13%26%38%51%64%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

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
0%20%40%60%80%100%

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%10%20%30%40%50%

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%2.3%4.7%7.0%9.3%11.7%

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%1.4%2.7%4.1%5.5%6.9%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Brown 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
23.9%28.3%32.5%36.8%41.1%45.4%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
45.9%49.2%52.4%55.6%58.9%62.2%

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
4.1%6.9%9.7%12.5%15.3%18.2%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.39%0.85%1.30%1.75%2.20%2.66%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.41%0.82%1.23%1.64%2.06%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.3%3.7%5.1%6.4%7.8%9.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.1%12.9%15.6%18.3%21.0%23.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.3%9.2%10.0%10.9%11.7%12.7%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
17.6%19.2%20.7%22.3%23.8%25.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
28.3%30.3%32.3%34.3%36.3%38.4%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%2.7%3.8%4.9%6.0%7.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.0%2.8%4.6%6.3%8.0%9.8%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.24%0.48%0.72%0.97%1.21%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Brown County

There are 14 places that are fully or partially contained within Brown County (13 fully and 1 partially). This section compares all 14 of those to each other, Brown County, and other entities that contain or substantially overlap with Brown 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 Brown County, selected places in Brown County, and entities that contain Brown County
0%5%10%Count#United States of AmericaUnited StatesFrederickWestportStratfordMidwestWest North CentralHeclaSouth DakotaAberdeenAberdeen Metro AreaAberdeen AreaColumbiaBrown CountyBrownClaremontWarnerGrotonBathBath CornerMansfieldFerneyVerdon13.020590%13.020590%13.0%27,818,38027.8M12.716763%12.716763%12.7%22111.235955%11.235955%11.2%10210.256410%10.256410%10.3%4310.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.965517%8.965517%9.0%1348.813537%8.813537%8.8%49,05549.1k8.481745%8.481745%8.5%1,52458.084172%8.084172%8.1%2,2828.064516%8.064516%8.1%1067.759567%7.759567%7.8%1,9797.228916%7.228916%7.2%675.128205%5.128205%5.1%1685.015924%5.015924%5.0%6390.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%014
Count number of people in category
# rank of place out of 14 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 Brown County, selected places in Brown County, and entities that contain Brown County
0%20%40%Count#Bath CornerMansfieldUnited States of AmericaUnited StatesWest North CentralMidwestGrotonAberdeenBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaWarnerFerneyWestportColumbiaClaremontHeclaFrederickStratfordBathVerdon56.818182%56.818182%56.8%50137.500000%37.500000%37.5%18230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.582803%28.582803%28.6%359328.317008%28.317008%28.3%5,088427.925031%27.925031%27.9%7,12227.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74724.679487%24.679487%24.7%77523.809524%23.809524%23.8%10623.595506%23.595506%23.6%21721.774194%21.774194%21.8%27818.072289%18.072289%18.1%15915.172414%15.172414%15.2%221015.028902%15.028902%15.0%261112.820513%12.820513%12.8%5127.462687%7.462687%7.5%10130.000000%0.000000%0.0%014
Count number of people in category
# rank of place out of 14 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 Brown County, selected places in Brown County, and entities that contain Brown County
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaColumbiaAberdeenGrotonFrederickHeclaWarnerBathClaremontWestportBath CornerMansfieldStratfordFerneyVerdon3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.587829%2.587829%2.6%6602.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%7002.419355%2.419355%2.4%312.254007%2.254007%2.3%40521.353503%1.353503%1.4%1731.156069%1.156069%1.2%240.689655%0.689655%0.7%150.000000%0.000000%0.0%060.000000%0.000000%0.0%070.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%014
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by 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 Brown County, selected places in Brown County, and entities that contain Brown County
Female
Male
0x5x10xFM#StratfordWestportFrederickWarnerGrotonColumbiaAberdeen AreaBrownSouth DakotaAberdeenWest North CentralMidwestUnited StatesHeclaClaremont-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%20.000%20.0%1-1.000000x-1.000000x3.574468x3.574468x3.57x4.762%4.76%17.021%17.0%2-1.000000x-1.000000x2.993478x2.993478x2.99x6.173%6.17%18.478%18.5%3-1.000000x-1.000000x2.886792x2.886792x2.89x2.614%2.61%7.547%7.55%4-1.000000x-1.000000x2.473973x2.473973x2.47x2.976%2.98%7.363%7.36%5-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%6-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%7-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-2.100000x-2.100000x2.10x1.000000x1.000000x12.000%12.0%5.714%5.71%8-4.431818x-4.431818x4.43x1.000000x1.000000x11.364%11.4%2.564%2.56%9
F percentage of females in category
M percentage of males in category
# rank of place out of 9 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 Brown County, selected places in Brown County, and entities that contain Brown County
Female
Male
0x5x10xFM#HeclaAberdeenBrownAberdeen AreaColumbiaSouth DakotaMidwestWest North CentralUnited StatesFrederickGroton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.429%1.43%1-1.000000x-1.000000x3.026479x3.026479x3.03x1.147%1.15%3.472%3.47%2-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%3-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-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%-1.135802x-1.135802x1.14x1.000000x1.000000x1.235%1.23%1.087%1.09%4-4.055556x-4.055556x4.06x1.000000x1.000000x2.083%2.08%0.514%0.51%5
F percentage of females in category
M percentage of males in category
# rank of place out of 5 by male-to-female sex ratio

Educational Attainment by County Subdivision in Brown County

There are 54 county subdivisions in Brown County. This section compares the 50 most populous of those to each other, Brown County, and other entities that contain or substantially overlap with Brown County. The least populous of the compared county subdivisions has a population of 17.

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 Brown County, selected county subdivisions in Brown County, and entities that contain Brown County
0%10%20%30%40%50%Count#Greenfield TownshipGreenfieldOrdway TownshipOrdwayGem TownshipUnited States of AmericaUnited StatesAberdeen TownshipAberdeenTown of FrederickFrederickFranklyn TownshipFranklynTown of WestportWestportTown of StratfordStratfordMidwestAllison TownshipAllisonBrainard TownshipBrainardWest North CentralHeclaSouth DakotaHighland TownshipHighlandLincoln TownshipLincolnAberdeenAberdeen Metro AreaAberdeen AreaColumbiaWarner TownshipWarnerBrown CountyBrownClaremont TownshipClaremontTown of ClaremontClaremontWestport TownshipWestportRichland TownshipRichlandTown of WarnerWarnerGrotonBath TownshipOneota TownshipOneotaRavinia TownshipRaviniaPrairiewood TownshipPrairiewoodEast Hanson TownshipE HansonOsceola TownshipOsceolaGarden Prairie TownshipGdn PrairieHecla TownshipHeclaSouth Detroit TownshipS DetroitGroton TownshipGrotonWest Rondell TownshipW RondellMercier TownshipMercierRiverside TownshipRiversideShelby TownshipShelbyGarland TownshipGarlandNew Hope TownshipNew HopeCarlisle TownshipCarlisleFrederick TownshipFrederickEast Rondell TownshipE RondellCambria TownshipCambriaNorth Detroit TownshipN DetroitHenry TownshipHenryPalmyra TownshipPalmyraColumbia TownshipColumbiaSavo TownshipWest Hanson TownshipW HansonLiberty TownshipLibertyLansing TownshipLansing50.000000%50.000000%50.0%7115.137615%15.137615%15.1%33214.893617%14.893617%14.9%14313.020590%13.020590%13.0%27,818,38027.8M12.806540%12.806540%12.8%94412.716763%12.716763%12.7%22511.627907%11.627907%11.6%5611.235955%11.235955%11.2%10710.256410%10.256410%10.3%4810.244520%10.244520%10.2%4,641,8354.64M10.000000%10.000000%10.0%299.859155%9.859155%9.9%7109.174633%9.174633%9.2%1,278,0511.28M8.965517%8.965517%9.0%13118.813537%8.813537%8.8%49,05549.1k8.620690%8.620690%8.6%5128.536585%8.536585%8.5%84138.481745%8.481745%8.5%1,524148.084172%8.084172%8.1%2,2828.064516%8.064516%8.1%10157.847534%7.847534%7.8%35167.759567%7.759567%7.8%1,9797.692308%7.692308%7.7%8177.228916%7.228916%7.2%6186.818182%6.818182%6.8%3195.357143%5.357143%5.4%3205.128205%5.128205%5.1%16215.015924%5.015924%5.0%63221.574803%1.574803%1.6%10231.388889%1.388889%1.4%1240.000000%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%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Brown County, selected county subdivisions in Brown County, and entities that contain Brown County
0%50%100%Count#Cambria TownshipCambriaHenry TownshipHenryMercier TownshipMercierPrairiewood TownshipPrairiewoodLansing TownshipLansingNew Hope TownshipNew HopeWestport TownshipWestportBrainard TownshipBrainardFrederick TownshipFrederickShelby TownshipShelbyAllison TownshipAllisonBath TownshipWarner TownshipWarnerWest Rondell TownshipW RondellUnited States of AmericaUnited StatesWest North CentralAberdeen TownshipAberdeenMidwestGrotonAberdeenBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaGarland TownshipGarlandSouth Detroit TownshipS DetroitRavinia TownshipRaviniaOrdway TownshipOrdwayLincoln TownshipLincolnClaremont TownshipClaremontOneota TownshipOneotaRiverside TownshipRiversideTown of WarnerWarnerTown of WestportWestportColumbiaHighland TownshipHighlandFranklyn TownshipFranklynTown of ClaremontClaremontHeclaTown of FrederickFrederickGroton TownshipGrotonRichland TownshipRichlandSavo TownshipEast Rondell TownshipE RondellTown of StratfordStratfordGem TownshipEast Hanson TownshipE HansonOsceola TownshipOsceolaGarden Prairie TownshipGdn PrairieHecla TownshipHeclaCarlisle TownshipCarlisleNorth Detroit TownshipN DetroitPalmyra TownshipPalmyraColumbia TownshipColumbiaWest Hanson TownshipW HansonGreenfield TownshipGreenfieldLiberty TownshipLiberty100.000000%100.000000%100.0%11174.285714%74.285714%74.3%26261.194030%61.194030%61.2%41358.995816%58.995816%59.0%141452.941176%52.941176%52.9%9543.859649%43.859649%43.9%25640.909091%40.909091%40.9%18740.845070%40.845070%40.8%29839.473684%39.473684%39.5%15938.461538%38.461538%38.5%151035.000000%35.000000%35.0%71133.700787%33.700787%33.7%2141232.959641%32.959641%33.0%1471331.666667%31.666667%31.7%191430.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.291553%29.291553%29.3%2151528.952816%28.952816%29.0%13,118,64213.1M28.582803%28.582803%28.6%3591628.317008%28.317008%28.3%5,0881727.925031%27.925031%27.9%7,12227.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74727.272727%27.272727%27.3%151826.785714%26.785714%26.8%151926.332288%26.332288%26.3%842026.146789%26.146789%26.1%572125.304878%25.304878%25.3%2492225.000000%25.000000%25.0%262325.000000%25.000000%25.0%182425.000000%25.000000%25.0%122524.679487%24.679487%24.7%772623.595506%23.595506%23.6%212721.774194%21.774194%21.8%272820.689655%20.689655%20.7%122918.604651%18.604651%18.6%83018.072289%18.072289%18.1%153115.172414%15.172414%15.2%223215.028902%15.028902%15.0%263314.666667%14.666667%14.7%113414.285714%14.285714%14.3%83513.333333%13.333333%13.3%43612.962963%12.962963%13.0%73712.820513%12.820513%12.8%53810.638298%10.638298%10.6%10399.433962%9.433962%9.4%10406.153846%6.153846%6.2%4410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Brown County, selected county subdivisions in Brown County, and entities that contain Brown County
0%10%20%Count#Shelby TownshipShelbyPrairiewood TownshipPrairiewoodGroton TownshipGrotonAberdeen TownshipAberdeenWest Rondell TownshipW RondellLincoln TownshipLincolnBath TownshipUnited States of AmericaUnited StatesWest North CentralMidwestBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaColumbiaAberdeenWarner TownshipWarnerGrotonTown of FrederickFrederickHeclaTown of WarnerWarnerRavinia TownshipRaviniaOrdway TownshipOrdwayClaremont TownshipClaremontEast Hanson TownshipE HansonTown of ClaremontClaremontTown of WestportWestportOneota TownshipOneotaOsceola TownshipOsceolaGarden Prairie TownshipGdn PrairieHecla TownshipHeclaBrainard TownshipBrainardSouth Detroit TownshipS DetroitGem TownshipMercier TownshipMercierRiverside TownshipRiversideWestport TownshipWestportGarland TownshipGarlandNew Hope TownshipNew HopeCarlisle TownshipCarlisleFrederick TownshipFrederickHighland TownshipHighlandRichland TownshipRichlandEast Rondell TownshipE RondellTown of StratfordStratfordFranklyn TownshipFranklynCambria TownshipCambriaNorth Detroit TownshipN DetroitHenry TownshipHenryPalmyra TownshipPalmyraColumbia TownshipColumbiaSavo TownshipWest Hanson TownshipW HansonAllison TownshipAllisonGreenfield TownshipGreenfieldLiberty TownshipLibertyLansing TownshipLansing28.205128%28.205128%28.2%11125.941423%25.941423%25.9%62214.666667%14.666667%14.7%1137.901907%7.901907%7.9%5846.666667%6.666667%6.7%455.081301%5.081301%5.1%5064.251969%4.251969%4.3%2773.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.587829%2.587829%2.6%6602.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%7002.419355%2.419355%2.4%382.254007%2.254007%2.3%40592.017937%2.017937%2.0%9101.353503%1.353503%1.4%17111.156069%1.156069%1.2%2120.689655%0.689655%0.7%1130.000000%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%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Brown County, selected county subdivisions in Brown County, and entities that contain Brown County
Female
Male
10x5x0x5x10xFM#Bath TownshipBrainardHighlandRichlandStratfordFranklynAllisonGreenfieldWestportFrederickAberdeenLincolnWarnerGrotonColumbiaAberdeen AreaBrownSouth DakotaAberdeenWest North CentralMidwestUnited StatesOrdwayHeclaWarnerClaremontClaremontOneotaGem TownshipWestport-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.882%2.88%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.909%15.9%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%16.667%16.7%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.345%10.3%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%20.000%20.0%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%18.519%18.5%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%14.286%14.3%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%100.000%100%8-1.000000x-1.000000x3.574468x3.574468x3.57x4.762%4.76%17.021%17.0%9-1.000000x-1.000000x2.993478x2.993478x2.99x6.173%6.17%18.478%18.5%10-1.000000x-1.000000x2.967051x2.967051x2.97x6.213%6.21%18.434%18.4%11-1.000000x-1.000000x2.954050x2.954050x2.95x4.570%4.57%13.501%13.5%12-1.000000x-1.000000x2.886792x2.886792x2.89x2.614%2.61%7.547%7.55%13-1.000000x-1.000000x2.473973x2.473973x2.47x2.976%2.98%7.363%7.36%14-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%15-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%16-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.910761x-1.910761x1.91x1.000000x1.000000x18.898%18.9%9.890%9.89%17-2.100000x-2.100000x2.10x1.000000x1.000000x12.000%12.0%5.714%5.71%18-3.047264x-3.047264x3.05x1.000000x1.000000x12.438%12.4%4.082%4.08%19-4.431818x-4.431818x4.43x1.000000x1.000000x11.364%11.4%2.564%2.56%20-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.035%14.0%0.000%0%21-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.704%3.70%0.000%0%22-10.000000x-10.000000x> 10.0x1.000000x1.000000x29.787%29.8%0.000%0%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x18.750%18.8%0.000%0%24
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 24 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 Brown County, selected county subdivisions in Brown County, and entities that contain Brown County
Female
Male
10x5x0x5x10xFM#Bath TownshipHeclaW RondellShelbyAberdeenBrownAberdeen AreaPrairiewoodColumbiaAberdeenSouth DakotaMidwestWest North CentralUnited StatesLincolnFrederickWarnerGrotonGroton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.781%7.78%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.429%1.43%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.765%11.8%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%73.333%73.3%4-1.000000x-1.000000x3.026479x3.026479x3.03x1.147%1.15%3.472%3.47%5-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x2.117647x2.117647x2.12x16.667%16.7%35.294%35.3%6-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%7-1.000000x-1.000000x1.896745x1.896745x1.90x5.325%5.33%10.101%10.1%8-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-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-1.000000x1.066277x1.066277x1.07x4.936%4.94%5.263%5.26%9-1.135802x-1.135802x1.14x1.000000x1.000000x1.235%1.23%1.087%1.09%10-1.523632x-1.523632x1.52x1.000000x1.000000x2.488%2.49%1.633%1.63%11-4.055556x-4.055556x4.06x1.000000x1.000000x2.083%2.08%0.514%0.51%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x35.484%35.5%0.000%0%13
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 13 by male-to-female sex ratio

Educational Attainment by County in the Aberdeen Area

There are 2 counties in the Aberdeen Area. This section compares Brown County to all of the counties in the Aberdeen Area and to those entities that contain or substantially overlap with Brown 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 Brown County, selected other counties in the Aberdeen Area, and entities that contain Brown County
0%5%10%Count#United States of AmericaUnited StatesEdmunds CountyEdmundsMidwestWest North CentralSouth DakotaAberdeen Metro AreaAberdeen AreaBrown CountyBrown13.020590%13.020590%13.0%27,818,38027.8M11.123348%11.123348%11.1%303110.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.084172%8.084172%8.1%2,2827.759567%7.759567%7.8%1,9792
Count number of people in category
# rank of county out of 2 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 Brown County, selected other counties in the Aberdeen Area, and entities that contain Brown County
0%10%20%30%Count#United States of AmericaUnited StatesWest North CentralMidwestBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaEdmunds CountyEdmunds30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.925031%27.925031%27.9%7,122127.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74722.944200%22.944200%22.9%6252
Count number of people in category
# rank of county out of 2 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 Brown County, selected other counties in the Aberdeen Area, and entities that contain Brown County
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaEdmunds CountyEdmunds3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.587829%2.587829%2.6%66012.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%7001.468429%1.468429%1.5%402
Count number of people in category
# rank of county out of 2 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by 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 Brown County, selected other counties in the Aberdeen Area, and entities that contain Brown County
Female
Male
1x0x1xFM#EdmundsAberdeen AreaBrownSouth DakotaWest North CentralMidwestUnited States-1.000000x-1.000000x1.777888x1.777888x1.78x8.023%8.02%14.265%14.3%1-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%2-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%
F percentage of females in category
M percentage of males in category
# rank of county out of 2 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 Brown County, selected other counties in the Aberdeen Area, and entities that contain Brown County
Female
Male
2x1x0x1x2xFM#BrownAberdeen AreaSouth DakotaMidwestWest North CentralUnited StatesEdmunds-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%1-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-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%-2.049655x-2.049655x2.05x1.000000x1.000000x1.969%1.97%0.961%0.96%2
F percentage of females in category
M percentage of males in category
# rank of county out of 2 by male-to-female sex ratio

Educational Attainment by County in South Dakota

There are 66 counties in South Dakota. This section compares Brown County to the 50 most populous counties in South Dakota and to those entities that contain or substantially overlap with Brown County. The least populous of the compared counties has a population of 2,961.

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 Brown County, selected other counties in South Dakota, and entities that contain Brown County
0%5%10%15%20%Count#Oglala Lakota CountyOglala LakotaBennett CountyBennettTodd CountyToddCorson CountyCorsonBeadle CountyBeadleDewey CountyDeweyDouglas CountyDouglasBrule CountyBruleHutchinson CountyHutchinsonUnited States of AmericaUnited StatesRoberts CountyRobertsJackson CountyJacksonTripp CountyTrippWalworth CountyWalworthLyman CountyLymanGregory CountyGregoryCharles Mix CountyCharles MixDay CountyDayEdmunds CountyEdmundsBon Homme CountyBon HommeMarshall CountyMarshallPerkins CountyPerkinsMcCook CountyMcCookClark CountyClarkMidwestGrant CountyGrantDavison CountyDavisonKingsbury CountyKingsburyWest North CentralStanley CountyStanleyMoody CountyMoodyButte CountyButteSouth DakotaHughes CountyHughesUnion CountyUnionMinnehaha CountyMinnehahaDeuel CountyDeuelHand CountyHandYankton CountyYanktonCodington CountyCodingtonAberdeen Metro AreaAberdeen AreaHanson CountyHansonTurner CountyTurnerBrown CountyBrownSpink CountySpinkHamlin CountyHamlinPennington CountyPenningtonFall River CountyFall RiverCuster CountyCusterMeade CountyMeadeLawrence CountyLawrenceLake CountyLakeClay CountyClayLincoln CountyLincolnBrookings CountyBrookings22.057777%22.057777%22.1%1,550121.071800%21.071800%21.1%405220.655067%20.655067%20.7%1,009318.364726%18.364726%18.4%429416.608739%16.608739%16.6%2,007515.084525%15.084525%15.1%464614.272167%14.272167%14.3%301713.796971%13.796971%13.8%492813.137959%13.137959%13.1%659913.020590%13.020590%13.0%27,818,38027.8M12.927054%12.927054%12.9%8401012.637363%12.637363%12.6%2301112.483946%12.483946%12.5%4861212.169312%12.169312%12.2%4831311.980239%11.980239%12.0%2911411.794355%11.794355%11.8%3511511.628312%11.628312%11.6%6671611.124845%11.124845%11.1%4501711.123348%11.123348%11.1%3031811.018267%11.018267%11.0%5671910.949788%10.949788%10.9%3622010.765002%10.765002%10.8%2352110.699039%10.699039%10.7%4012210.382736%10.382736%10.4%2552310.244520%10.244520%10.2%4,641,8354.64M9.843137%9.843137%9.8%502249.422101%9.422101%9.4%1,244259.385291%9.385291%9.4%342269.174633%9.174633%9.2%1,278,0511.28M9.162952%9.162952%9.2%185278.988764%8.988764%9.0%384288.959044%8.959044%9.0%630298.813537%8.813537%8.8%49,05549.1k8.758763%8.758763%8.8%1,062308.725432%8.725432%8.7%879318.586071%8.586071%8.6%10,22010.2k328.468409%8.468409%8.5%256338.245688%8.245688%8.2%196348.147166%8.147166%8.1%1,291358.146234%8.146234%8.1%1,513368.084172%8.084172%8.1%2,2827.826932%7.826932%7.8%161377.800687%7.800687%7.8%454387.759567%7.759567%7.8%1,979397.726465%7.726465%7.7%348407.189542%7.189542%7.2%264417.189289%7.189289%7.2%5,198426.908463%6.908463%6.9%360436.640566%6.640566%6.6%441446.625057%6.625057%6.6%1,157456.010994%6.010994%6.0%1,017466.007024%6.007024%6.0%496475.162771%5.162771%5.2%360484.863831%4.863831%4.9%1,602494.326428%4.326428%4.3%75650
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 Brown County, selected other counties in South Dakota, and entities that contain Brown County
0%10%20%30%40%Count#Clay CountyClayLincoln CountyLincolnBrookings CountyBrookingsLake CountyLakeHughes CountyHughesLawrence CountyLawrenceUnited States of AmericaUnited StatesMinnehaha CountyMinnehahaUnion CountyUnionWest North CentralMidwestPennington CountyPenningtonBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaYankton CountyYanktonStanley CountyStanleyMoody CountyMoodyDavison CountyDavisonBrule CountyBruleCuster CountyCusterFall River CountyFall RiverMeade CountyMeadeHand CountyHandEdmunds CountyEdmundsKingsbury CountyKingsburyMarshall CountyMarshallMcCook CountyMcCookHutchinson CountyHutchinsonTurner CountyTurnerTripp CountyTrippHanson CountyHansonSpink CountySpinkCodington CountyCodingtonWalworth CountyWalworthDouglas CountyDouglasHamlin CountyHamlinBeadle CountyBeadleDeuel CountyDeuelButte CountyButteGregory CountyGregoryPerkins CountyPerkinsJackson CountyJacksonBon Homme CountyBon HommeLyman CountyLymanCharles Mix CountyCharles MixBennett CountyBennettDay CountyDayClark CountyClarkCorson CountyCorsonRoberts CountyRobertsTodd CountyToddGrant CountyGrantDewey CountyDeweyOglala Lakota CountyOglala Lakota47.827334%47.827334%47.8%3,335141.233264%41.233264%41.2%13,58113.6k240.952272%40.952272%41.0%7,156333.208187%33.208187%33.2%2,742433.006186%33.006186%33.0%4,002531.603523%31.603523%31.6%5,347630.315023%30.315023%30.3%64,767,78764.8M30.257918%30.257918%30.3%36,01636.0k730.136986%30.136986%30.1%3,036830.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.928660%28.928660%28.9%20,91620.9k927.925031%27.925031%27.9%7,1221027.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74727.331819%27.331819%27.3%4,3311126.993561%26.993561%27.0%5451226.849251%26.849251%26.8%1,1471326.645459%26.645459%26.6%3,5181425.602916%25.602916%25.6%9131524.499322%24.499322%24.5%1,6271623.949338%23.949338%23.9%1,2481723.780348%23.780348%23.8%4,1531823.138410%23.138410%23.1%5501922.944200%22.944200%22.9%6252022.667398%22.667398%22.7%8262122.595281%22.595281%22.6%7472222.545358%22.545358%22.5%8452321.590909%21.590909%21.6%1,0832421.443299%21.443299%21.4%1,2482521.397380%21.397380%21.4%8332621.390374%21.390374%21.4%4402721.092362%21.092362%21.1%9502820.938997%20.938997%20.9%3,8892920.634921%20.634921%20.6%8193020.625889%20.625889%20.6%4353120.479303%20.479303%20.5%7523220.340947%20.340947%20.3%2,4583319.781674%19.781674%19.8%5983419.695677%19.695677%19.7%1,3853519.287634%19.287634%19.3%5743619.193770%19.193770%19.2%4193718.626374%18.626374%18.6%3393818.324913%18.324913%18.3%9433918.279127%18.279127%18.3%4444018.131102%18.131102%18.1%1,0404117.793965%17.793965%17.8%3424217.132262%17.132262%17.1%6934316.693811%16.693811%16.7%4104416.352740%16.352740%16.4%3824516.035703%16.035703%16.0%1,0424615.742068%15.742068%15.7%7694714.607843%14.607843%14.6%7454814.076723%14.076723%14.1%4334911.199658%11.199658%11.2%78750
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 Brown County, selected other counties in South Dakota, and entities that contain Brown County
0%5%10%Count#Clay CountyClayBrookings CountyBrookingsStanley CountyStanleyLincoln CountyLincolnUnion CountyUnionUnited States of AmericaUnited StatesHughes CountyHughesLake CountyLakeBrule CountyBruleWest North CentralYankton CountyYanktonPennington CountyPenningtonMidwestLawrence CountyLawrenceMinnehaha CountyMinnehahaBrown CountyBrownFall River CountyFall RiverSouth DakotaMarshall CountyMarshallAberdeen Metro AreaAberdeen AreaWalworth CountyWalworthCharles Mix CountyCharles MixTripp CountyTrippPerkins CountyPerkinsCuster CountyCusterDouglas CountyDouglasBon Homme CountyBon HommeKingsbury CountyKingsburyTurner CountyTurnerMeade CountyMeadeHutchinson CountyHutchinsonHand CountyHandEdmunds CountyEdmundsRoberts CountyRobertsDeuel CountyDeuelDay CountyDayDavison CountyDavisonSpink CountySpinkMoody CountyMoodyMcCook CountyMcCookHamlin CountyHamlinTodd CountyToddJackson CountyJacksonLyman CountyLymanCodington CountyCodingtonGregory CountyGregoryBennett CountyBennettClark CountyClarkButte CountyButteHanson CountyHansonBeadle CountyBeadleDewey CountyDeweyOglala Lakota CountyOglala LakotaGrant CountyGrantCorson CountyCorson10.884842%10.884842%10.9%75914.955935%4.955935%5.0%86624.259534%4.259534%4.3%8634.162492%4.162492%4.2%1,37144.089736%4.089736%4.1%41253.336158%3.336158%3.3%7,127,6737.13M3.323711%3.323711%3.3%40363.100400%3.100400%3.1%25673.000561%3.000561%3.0%10782.978981%2.978981%3.0%414,980415k2.934495%2.934495%2.9%46592.923847%2.923847%2.9%2,114102.893416%2.893416%2.9%1,311,0191.31M2.825226%2.825226%2.8%478112.723683%2.723683%2.7%3,242122.587829%2.587829%2.6%660132.571483%2.571483%2.6%134142.514252%2.514252%2.5%13,99414.0k2.480339%2.480339%2.5%82152.479807%2.479807%2.5%7002.368355%2.368355%2.4%94162.318689%2.318689%2.3%133172.183406%2.183406%2.2%85182.153000%2.153000%2.2%47192.002710%2.002710%2.0%133201.801802%1.801802%1.8%38211.748931%1.748931%1.7%90221.619100%1.619100%1.6%59231.546392%1.546392%1.5%90241.546038%1.546038%1.5%270251.495215%1.495215%1.5%75261.472444%1.472444%1.5%35271.468429%1.468429%1.5%40281.461988%1.461988%1.5%95291.389348%1.389348%1.4%42301.384425%1.384425%1.4%56311.325456%1.325456%1.3%175321.309947%1.309947%1.3%59331.287453%1.287453%1.3%55341.280683%1.280683%1.3%48351.225490%1.225490%1.2%45361.187308%1.187308%1.2%58371.098901%1.098901%1.1%20380.946892%0.946892%0.9%23390.856081%0.856081%0.9%159400.840054%0.840054%0.8%25410.832466%0.832466%0.8%16420.651466%0.651466%0.7%16430.625711%0.625711%0.6%44440.583374%0.583374%0.6%12450.571003%0.571003%0.6%69460.357607%0.357607%0.4%11470.241924%0.241924%0.2%17480.235294%0.235294%0.2%12490.214041%0.214041%0.2%550
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 Brown County, selected other counties in South Dakota, and entities that contain Brown County
Female
Male
1x0x1x2xFM#HansonDeuelGrantLincolnHamlinDayMeadeBon HommeFall RiverButteDavisonEdmundsLakeHandMcCookDouglasPerkinsRobertsKingsburyCodingtonMoodyGregorySpinkLymanStanleyJacksonAberdeen AreaClayBrownDeweySouth DakotaBruleCusterBrookingsBeadleToddPenningtonWest North CentralMidwestMinnehahaUnited StatesOglala LakotaWalworthMarshallTrippCharles MixUnionLawrenceClarkHutchinsonYanktonTurnerCorsonBennettHughes-1.000000x-1.000000x2.652363x2.652363x2.65x4.253%4.25%11.281%11.3%1-1.000000x-1.000000x2.162949x2.162949x2.16x5.303%5.30%11.469%11.5%2-1.000000x-1.000000x2.098765x2.098765x2.10x6.353%6.35%13.333%13.3%3-1.000000x-1.000000x2.060952x2.060952x2.06x3.206%3.21%6.606%6.61%4-1.000000x-1.000000x2.053773x2.053773x2.05x4.688%4.69%9.629%9.63%5-1.000000x-1.000000x2.012347x2.012347x2.01x7.344%7.34%14.779%14.8%6-1.000000x-1.000000x1.987366x1.987366x1.99x4.426%4.43%8.796%8.80%7-1.000000x-1.000000x1.839876x1.839876x1.84x7.381%7.38%13.581%13.6%8-1.000000x-1.000000x1.834194x1.834194x1.83x4.884%4.88%8.958%8.96%9-1.000000x-1.000000x1.796424x1.796424x1.80x6.450%6.45%11.587%11.6%10-1.000000x-1.000000x1.791955x1.791955x1.79x6.808%6.81%12.199%12.2%11-1.000000x-1.000000x1.777888x1.777888x1.78x8.023%8.02%14.265%14.3%12-1.000000x-1.000000x1.719013x1.719013x1.72x4.396%4.40%7.557%7.56%13-1.000000x-1.000000x1.631077x1.631077x1.63x6.276%6.28%10.237%10.2%14-1.000000x-1.000000x1.618832x1.618832x1.62x8.221%8.22%13.308%13.3%15-1.000000x-1.000000x1.616502x1.616502x1.62x10.945%10.9%17.692%17.7%16-1.000000x-1.000000x1.583308x1.583308x1.58x8.318%8.32%13.170%13.2%17-1.000000x-1.000000x1.522449x1.522449x1.52x10.255%10.3%15.612%15.6%18-1.000000x-1.000000x1.503112x1.503112x1.50x7.493%7.49%11.263%11.3%19-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%20-1.000000x-1.000000x1.458139x1.458139x1.46x7.334%7.33%10.694%10.7%21-1.000000x-1.000000x1.429407x1.429407x1.43x9.735%9.74%13.915%13.9%22-1.000000x-1.000000x1.382644x1.382644x1.38x6.504%6.50%8.992%8.99%23-1.000000x-1.000000x1.370699x1.370699x1.37x10.043%10.0%13.766%13.8%24-1.000000x-1.000000x1.363539x1.363539x1.36x7.724%7.72%10.531%10.5%25-1.000000x-1.000000x1.361635x1.361635x1.36x10.624%10.6%14.465%14.5%26-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.288505x1.288505x1.29x4.505%4.50%5.804%5.80%27-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%28-1.000000x-1.000000x1.264164x1.264164x1.26x13.379%13.4%16.914%16.9%29-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.243110x1.243110x1.24x12.344%12.3%15.345%15.3%30-1.000000x-1.000000x1.221805x1.221805x1.22x5.990%5.99%7.319%7.32%31-1.000000x-1.000000x1.215741x1.215741x1.22x3.894%3.89%4.734%4.73%32-1.000000x-1.000000x1.201297x1.201297x1.20x15.124%15.1%18.168%18.2%33-1.000000x-1.000000x1.193368x1.193368x1.19x18.934%18.9%22.595%22.6%34-1.000000x-1.000000x1.153915x1.153915x1.15x6.682%6.68%7.710%7.71%35-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.124314x1.124314x1.12x8.087%8.09%9.093%9.09%36-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094675x1.094675x1.09x21.115%21.1%23.114%23.1%37-1.000000x-1.000000x1.092305x1.092305x1.09x11.635%11.6%12.709%12.7%38-1.000000x-1.000000x1.068893x1.068893x1.07x10.570%10.6%11.298%11.3%39-1.000000x-1.000000x1.066403x1.066403x1.07x12.086%12.1%12.888%12.9%40-1.000000x-1.000000x1.063515x1.063515x1.06x11.275%11.3%11.992%12.0%41-1.000000x-1.000000x1.060231x1.060231x1.06x8.471%8.47%8.981%8.98%42-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%43-1.000000x-1.000000x1.009517x1.009517x1.01x10.334%10.3%10.432%10.4%44-1.008391x-1.008391x1.01x1.000000x1.000000x13.192%13.2%13.082%13.1%45-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%46-1.037887x-1.037887x1.04x1.000000x1.000000x7.945%7.95%7.655%7.66%47-1.129702x-1.129702x1.13x1.000000x1.000000x19.497%19.5%17.259%17.3%48-1.260443x-1.260443x1.26x1.000000x1.000000x23.199%23.2%18.406%18.4%49-1.472289x-1.472289x1.47x1.000000x1.000000x10.356%10.4%7.034%7.03%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 Brown County, selected other counties in South Dakota, and entities that contain Brown County
Female
Male
10x5x0x5x10xFM#GrantDeweyButteMcCookCodingtonMoodyFall RiverTrippHutchinsonSpinkStanleyBrownPerkinsCharles MixHamlinAberdeen AreaLymanBrookingsMeadeBeadleUnionMinnehahaPenningtonTurnerBon HommeClayDavisonSouth DakotaHughesMidwestWest North CentralLawrenceUnited StatesWalworthKingsburyToddHansonCusterLakeLincolnBruleYanktonDayDouglasGregoryDeuelBennettHandCorsonClarkRobertsEdmundsMarshallOglala LakotaJackson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.039%0.04%0.431%0.43%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.063%0.06%0.674%0.67%2-1.000000x-1.000000x4.712227x4.712227x4.71x0.222%0.22%1.048%1.05%3-1.000000x-1.000000x3.540476x3.540476x3.54x0.572%0.57%2.026%2.03%4-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%5-1.000000x-1.000000x3.329044x3.329044x3.33x0.600%0.60%1.996%2.00%6-1.000000x-1.000000x3.097239x3.097239x3.10x1.259%1.26%3.900%3.90%7-1.000000x-1.000000x3.093365x3.093365x3.09x1.071%1.07%3.313%3.31%8-1.000000x-1.000000x3.040481x3.040481x3.04x0.746%0.75%2.268%2.27%9-1.000000x-1.000000x2.782224x2.782224x2.78x0.698%0.70%1.943%1.94%10-1.000000x-1.000000x2.604159x2.604159x2.60x2.337%2.34%6.087%6.09%11-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%12-1.000000x-1.000000x2.316466x2.316466x2.32x1.294%1.29%2.997%3.00%13-1.000000x-1.000000x2.229513x2.229513x2.23x1.444%1.44%3.219%3.22%14-1.000000x-1.000000x2.159494x2.159494x2.16x0.772%0.77%1.668%1.67%15-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x2.106691x2.106691x2.11x0.601%0.60%1.266%1.27%16-1.000000x-1.000000x2.002539x2.002539x2.00x3.268%3.27%6.545%6.55%17-1.000000x-1.000000x1.974511x1.974511x1.97x1.037%1.04%2.048%2.05%18-1.000000x-1.000000x1.968511x1.968511x1.97x0.388%0.39%0.763%0.76%19-1.000000x-1.000000x1.884109x1.884109x1.88x2.837%2.84%5.345%5.34%20-1.000000x-1.000000x1.800694x1.800694x1.80x1.949%1.95%3.510%3.51%21-1.000000x-1.000000x1.766150x1.766150x1.77x2.122%2.12%3.747%3.75%22-1.000000x-1.000000x1.739185x1.739185x1.74x1.130%1.13%1.966%1.97%23-1.000000x-1.000000x1.734247x1.734247x1.73x1.222%1.22%2.120%2.12%24-1.000000x-1.000000x1.714655x1.714655x1.71x7.992%7.99%13.703%13.7%25-1.000000x-1.000000x1.712403x1.712403x1.71x0.985%0.99%1.687%1.69%26-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.606840x1.606840x1.61x2.573%2.57%4.134%4.13%27-1.000000x-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-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.487861x1.487861x1.49x1.906%1.91%2.835%2.84%29-1.000000x-1.000000x1.447171x1.447171x1.45x1.322%1.32%1.914%1.91%30-1.000000x-1.000000x1.386692x1.386692x1.39x1.005%1.00%1.393%1.39%31-1.000000x-1.000000x1.353155x1.353155x1.35x0.495%0.49%0.669%0.67%32-1.000000x-1.000000x1.347579x1.347579x1.35x1.711%1.71%2.306%2.31%33-1.000000x-1.000000x1.318591x1.318591x1.32x2.667%2.67%3.517%3.52%34-1.000000x-1.000000x1.269169x1.269169x1.27x3.680%3.68%4.670%4.67%35-1.000000x-1.000000x1.260437x1.260437x1.26x2.664%2.66%3.358%3.36%36-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%37-1.000000x-1.000000x1.038045x1.038045x1.04x1.358%1.36%1.410%1.41%38-1.000000x-1.000000x1.027885x1.027885x1.03x1.777%1.78%1.827%1.83%39-1.051766x-1.051766x1.05x1.000000x1.000000x0.861%0.86%0.819%0.82%40-1.055065x-1.055065x1.06x1.000000x1.000000x1.428%1.43%1.353%1.35%41-1.329903x-1.329903x1.33x1.000000x1.000000x0.935%0.94%0.703%0.70%42-1.483682x-1.483682x1.48x1.000000x1.000000x1.757%1.76%1.184%1.18%43-1.536395x-1.536395x1.54x1.000000x1.000000x0.260%0.26%0.169%0.17%44-1.663954x-1.663954x1.66x1.000000x1.000000x0.814%0.81%0.489%0.49%45-1.705864x-1.705864x1.71x1.000000x1.000000x1.842%1.84%1.080%1.08%46-2.049655x-2.049655x2.05x1.000000x1.000000x1.969%1.97%0.961%0.96%47-3.173177x-3.173177x3.17x1.000000x1.000000x3.861%3.86%1.217%1.22%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.458%0.46%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.309%2.31%0.000%0%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 Brown County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Brown 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 Brown County, selected other counties in the United States, and entities that contain Brown 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 CountyMontgomerySouth DakotaFulton CountyFultonFairfax CountyFairfaxAberdeen Metro AreaAberdeen AreaBrown CountyBrownWake CountyWakeKing CountyKingMiddlesex 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%102,414102k379.640656%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%62,20562.2k418.813537%8.813537%8.8%49,05549.1k8.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k438.084172%8.084172%8.1%2,2827.759567%7.759567%7.8%1,9797.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Brown County, selected other counties in the United States, and entities that contain Brown 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 CountySuffolkPalm 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 CountySacramentoMidwestBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%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%352,396352k2434.188819%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%13,118,64213.1M27.925031%27.925031%27.9%7,12227.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74727.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Brown County, selected other counties in the United States, and entities that contain Brown 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 CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%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%30,88530.9k343.384967%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%44,96545.0k432.587829%2.587829%2.6%6602.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%7002.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Brown County, selected other counties in the United States, and entities that contain Brown County
Female
Male
1x0x1xFM#Aberdeen AreaMecklenburgBrownSouth DakotaPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-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-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%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 Brown County, selected other counties in the United States, and entities that contain Brown County
Female
Male
1x0x1x2xFM#BrownAberdeen AreaPalm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarSouth DakotaMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-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-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-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-1.000000x1.475755x1.475755x1.48x3.533%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.

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Demographics

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More Maps to Explore

Principal City:
Aberdeen
Cities:
Aberdeen, Columbia, Groton, Hecla
Towns:
Claremont, Frederick, Stratford, Verdon, Warner, Westport
Townships:
Aberdeen, Allison, Bates, Bath, Brainard, Cambria, Carlisle, Claremont, Columbia, East Hanson, East Rondell, Franklyn, Frederick, Garden Prairie, Garland, Gem, Greenfield, Groton, Hecla, Henry, Highland, Lansing, Liberty, Lincoln, Mercier, New Hope, North Detroit, Oneota, Ordway, Osceola, Palmyra, Portage, Prairiewood, Putney, Ravinia, Richland, Riverside, Savo, Shelby, South Detroit, Warner, West Hanson, West Rondell, Westport
Unincorporated Places:
Bath, Bath Corner, Ferney, Mansfield
ZIP Codes:
57401, 57426, 57427, 57432, 57433, 57434, 57439, 57441, 57445, 57446, 57449, 57451, 57460, 57474, 57479, 57481
Unified School Districts:
Aberdeen 06-1, Britton-Hecla 45-4, Frederick 06-2, Groton 06-6, Langford 45-5, Northwestern 56-7, Warner 06-5
Congressional District:
SD-At Large
State Senate Districts:
SD-1, SD-2, SD-3
State House Districts:
SD-1, SD-2, SD-3
Neighboring Counties:
Day, Dickey, Edmunds, Faulk, Marshall, McPherson, Sargent, Spink
Nearby Counties:
Clark, LaMoure