Educational Attainment in Lake County, South Dakota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of South Dakota and Lake County
Lake County
South Dakota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma243.030156%38.496767%43.030156%43.0%3,55350.962819%52.689696%50.962819%51.0%4,2086.007024%8.813537%6.007024%6.0%496
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 Lake County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma211.776026%11.776026%+11.8%43.030%43.0%38.497%38.5%-3.277447%-3.277447%-3.3%50.963%51.0%52.690%52.7%-31.843203%-31.843203%-31.8%6.007%6.01%8.814%8.81%
% percentage with given level in Lake 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 Lake County
Lake County
South Dakota
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.155747%1.153099%2.155747%2.2%1780.944653%1.361153%0.944653%0.9%785.680029%5.574870%5.680029%5.7%46924.427758%19.361214%24.427758%24.4%2,0179.821969%11.046431%9.821969%9.8%81118.832506%21.854804%18.832506%18.8%1,55532.130314%30.834892%32.130314%32.1%2,6533.923943%5.163973%3.923943%3.9%3241.634976%3.038519%1.634976%1.6%1350.448105%0.611046%0.448105%0.4%37
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 Lake County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None86.952408%86.952408%+87.0%2.156%2.16%1.153%1.15%-30.599051%-30.599051%-30.6%0.945%0.94%1.361%1.36%1.886311%1.886311%+1.9%5.680%5.68%5.575%5.57%26.168526%26.168526%+26.2%24.428%24.4%19.361%19.4%-11.084684%-11.084684%-11.1%9.822%9.82%11.046%11.0%-13.828990%-13.828990%-13.8%18.833%18.8%21.855%21.9%4.201155%4.201155%+4.2%32.130%32.1%30.835%30.8%-24.013087%-24.013087%-24.0%3.924%3.92%5.164%5.16%-46.191663%-46.191663%-46.2%1.635%1.63%3.039%3.04%-26.665917%-26.665917%-26.7%0.448%0.45%0.611%0.61%
% percentage with given level in Lake 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 Lake County
More Females More Males
South Dakota
Lake County
0%20%40%60%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-4.102547%-11.440606%-4.102547%4%43.912%43.9%42.182%42.2%-2.845859%-2.845859%3%4.342895%51.692%51.7%50.261%50.3%71.901301%24.488820%71.901301%72%4.396%4.40%7.557%7.56%
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 Lake County
More Females More Males
South Dakota
Lake County
0%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None20.581352%66.034744%20.581352%21%1.951%1.95%2.353%2.35%62.581126%65.400121%62.581126%63%0.716%0.72%1.164%1.16%-30.859159%19.701366%19.701366%20%5.162%5.16%6.179%6.18%-21.229440%-15.643084%-21.229440%21%26.821%26.8%22.125%22.1%-10.617358%11.873511%11.873511%12%9.262%9.26%10.361%10.4%-43.177573%-8.134845%-43.177573%43%22.252%22.3%15.542%15.5%17.935895%13.672207%17.935895%18%29.439%29.4%34.720%34.7%188.664449%26.248786%188.664449%189%2.000%2.00%5.775%5.77%-88.367498%-88.367498%88%29.328538%2.149%2.15%1.141%1.14%-9.020635%159.798004%159.798004%160%0.247%0.25%0.642%0.64%
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 Lake County
Lake County
South Dakota
0%5%10%15%20%25%30%35%B.X.Total65+45-6435-4425-3418.181818%13.730468%18.181818%18.2%4382,40924.478720%18.939283%24.478720%24.5%8573,50136.752899%22.716579%36.752899%36.8%4121,12125.285481%23.787833%25.285481%25.3%3101,226
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 Lake County
0%10%20%30%40%50%60%%ref.65+45-6435-4425-3432.419511%32.419511%32.4%18.182%18.2%13.730%13.7%29.248400%29.248400%29.2%24.479%24.5%18.939%18.9%61.788880%61.788880%61.8%36.753%36.8%22.717%22.7%6.295860%6.295860%6.3%25.285%25.3%23.788%23.8%
% percentage in Lake 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 Lake County
More Females More Males
South Dakota
Lake County
40%30%20%10%0%10%FM65+45-6435-4425-34-12.360112%-12.360112%12.4%19.642769%19.218%19.2%17.104%17.1%-47.518003%-18.101107%-47.518003%47.5%29.148%29.1%19.759%19.8%-1.082944%-31.977233%-1.082944%1.1%36.961%37.0%36.565%36.6%-8.868093%-34.150844%-8.868093%8.9%26.515%26.5%24.355%24.4%
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 Lake County
Lake County
South Dakota
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$50,250.000000$51,628.000000$50,250.000000$50.3k7258.780%8.78%$39,388.000000$40,871.000000$39,388.000000$39.4k2,01724.428%24.4%$31,187.000000$32,390.000000$31,187.000000$31.2k2,36628.654%28.7%$29,479.000000$28,476.000000$29,479.000000$29.5k2,65332.130%32.1%$33,837.000000$33,634.000000$33,837.000000$33.8k8,257100.000%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 Lake County
Female Male
South Dakota
Lake County
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-48,500.000000$-46,434.000000$-48,500.000000$48.5k$48,500.000000$4,380.000000$46,434.000000$13,919.000000$52,880.000000$52.9k317408$-36,675.000000$-35,146.000000$-36,675.000000$36.7k$36,675.000000$6,225.000000$35,146.000000$15,358.000000$42,900.000000$42.9k1,086931$-26,778.000000$-26,605.000000$-26,778.000000$26.8k$26,778.000000$9,908.000000$26,605.000000$14,085.000000$36,686.000000$36.7k1,2761,090$-23,614.000000$-22,122.000000$-23,614.000000$23.6k$23,614.000000$14,915.000000$22,122.000000$12,398.000000$38,529.000000$38.5k1,1921,461$-28,344.000000$-27,891.000000$-28,344.000000$28.3k$28,344.000000$11,218.000000$27,891.000000$12,482.000000$39,562.000000$39.6k4,0494,208
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

Employment by Educational Attainment#12

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 Lake County
Lake County
South Dakota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.950617%87.531563%83.950617%84.0%1,70083.825900%81.358494%83.825900%83.8%1,56074.869110%76.838929%74.869110%74.9%1,28758.024691%57.693088%58.024691%58.0%141
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#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of South Dakota and Lake County
Female Male
South Dakota
Lake County
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1AsianHispanic2Other1-4.397801%-5.854842%-4.397801%4.4%4.397801%2.584621%5.854842%2.038878%6.982422%7.0%286176-7.142857%-27.473684%-0.281536%-7.142857%7.1%7.142857%92.857143%27.473684%100.000000%100.0%182-0.000000%-26.629041%0.000000%0.0%0.000000%20.289855%26.629041%3.819203%20.289855%20.3%140-0.000000%-20.590618%0.000000%0.0%0.000000%28.571429%20.590618%1.562078%28.571429%28.6%100
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of South Dakota and Lake County
Female Male
South Dakota
Lake County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1AsianHispanic2Other1-32.202148%-2.855323%-27.562779%-3.019821%-35.057471%35.1%32.202148%27.562779%32.202148%32.2%1,3191,403-0.000000%-39.356148%0.000000%0.0%0.000000%0.000000%39.356148%4.573676%0.000000%0.0%00-0.000000%-15.331808%-2.010419%0.000000%0.0%0.000000%24.637681%15.331808%24.637681%24.6%170-0.000000%-9.360826%-4.310890%0.000000%0.0%0.000000%34.285714%9.360826%34.285714%34.3%120
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 Lake County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#15

Percentage of the population 25 years and older with given highest level of educational attainment
0%13%26%39%52%65%

Coarse: High School Diploma Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
31%45%59%73%86%100%

Coarse: No High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.6%7.3%10.9%14.5%18.2%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.0%2.7%3.4%

Detailed: Professional Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.9%2.8%3.7%4.7%

Detailed: Master's Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.8%5.5%8.3%11.0%13.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%11%21%32%43%54%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%5%11%16%21%27%

Detailed: Some College Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
5%14%22%30%38%47%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
0%15%30%46%61%76%

Detailed: Some High School Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.6%7.3%10.9%14.5%18.2%

Detailed: Less than High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.4%3.3%4.1%

Detailed: None Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.3%1.9%2.5%3.2%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Lake County

Coarse: Post-Secondary Degree Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
39.4%40.6%41.9%43.1%44.4%45.7%

Coarse: High School Diploma Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
49.2%50.7%52.1%53.5%54.9%56.4%

Coarse: No High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
4.2%4.8%5.4%5.9%6.5%7.1%

Detailed: Doctorate Degree Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0.80%1.28%1.75%2.21%2.68%3.16%

Detailed: Professional Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.36%0.66%0.95%1.24%1.54%1.83%

Detailed: Master's Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
3.6%4.6%5.4%6.3%7.2%8.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
21.3%22.2%23.1%24.0%24.8%25.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.2%9.7%10.3%10.8%11.4%12.0%

Detailed: Some College Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
17.1%17.9%18.7%19.6%20.4%21.2%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
28.3%29.7%31.1%32.4%33.8%35.2%

Detailed: Some High School Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
3.22%3.42%3.61%3.81%4.00%4.20%

Detailed: Less than High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.28%0.72%1.15%1.59%2.03%2.47%

Detailed: None Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.05%0.25%0.44%0.64%0.83%1.03%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Lake County

There are 8 places in Lake County. This section compares all 8 of those to each other, Lake County, and other entities that contain or substantially overlap with Lake County.

No H.S. Diploma by Place#41

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Lake County, selected places in Lake County, and entities that contain Lake County
0%10%20%30%Count#WinfredNundaUnited States of AmericaUnited StatesMidwestRamonaChesterWest North CentralSouth DakotaBrant LakeMadisonLake CountyLakeWentworthLake Madison36.111111%36.111111%36.1%13118.181818%18.181818%18.2%8213.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M10.169492%10.169492%10.2%1239.677419%9.677419%9.7%2149.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k7.482993%7.482993%7.5%1156.674392%6.674392%6.7%28866.007024%6.007024%6.0%4964.624277%4.624277%4.6%873.529412%3.529412%3.5%278
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#42

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Lake County, selected places in Lake County, and entities that contain Lake County
0%10%20%30%40%Count#Lake MadisonMadisonLake CountyLakeUnited States of AmericaUnited StatesWest North CentralMidwestSouth DakotaWentworthChesterNundaBrant LakeRamonaWinfred41.830065%41.830065%41.8%320133.534183%33.534183%33.5%1,447233.208187%33.208187%33.2%2,74230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.450336%27.450336%27.5%152,785153k25.433526%25.433526%25.4%44325.345622%25.345622%25.3%55425.000000%25.000000%25.0%11519.727891%19.727891%19.7%29616.101695%16.101695%16.1%1970.000000%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 bachelor's degree or higher..

Very Advanced Degrees by Place#43

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Lake County, selected places in Lake County, and entities that contain Lake County
0%1%2%3%Count#MadisonLake MadisonUnited States of AmericaUnited StatesLake CountyLakeWest North CentralMidwestSouth DakotaNundaBrant LakeRamonaChesterWentworthWinfred3.777520%3.777520%3.8%16313.398693%3.398693%3.4%2623.336158%3.336158%3.3%7,127,6737.13M3.100400%3.100400%3.1%2562.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.514252%2.514252%2.5%13,99414.0k2.272727%2.272727%2.3%132.040816%2.040816%2.0%341.694915%1.694915%1.7%251.382488%1.382488%1.4%360.000000%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#44

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 Lake County, selected places in Lake County, and entities that contain Lake County
Female
Male
0x5x10xFM#NundaWinfredRamonaChesterBrant LakeLake MadisonLakeMadisonSouth DakotaWest North CentralMidwestUnited StatesWentworth-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%33.333%33.3%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%76.471%76.5%2-1.000000x-1.000000x8.969231x8.969231x8.97x1.887%1.89%16.923%16.9%3-1.000000x-1.000000x2.617021x2.617021x2.62x5.691%5.69%14.894%14.9%4-1.000000x-1.000000x2.233333x2.233333x2.23x4.478%4.48%10.000%10.0%5-1.000000x-1.000000x2.179065x2.179065x2.18x2.115%2.11%4.608%4.61%6-1.000000x-1.000000x1.719013x1.719013x1.72x4.396%4.40%7.557%7.56%-1.000000x-1.000000x1.265403x1.265403x1.27x5.906%5.91%7.474%7.47%7-1.000000x-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%-1.000000x-1.000000x1.011628x1.011628x1.01x4.598%4.60%4.651%4.65%8
F percentage of females in category
M percentage of males in category
# rank of place out of 8 by male-to-female sex ratio

Over-Education Sex Ratio by Place#45

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 Lake County, selected places in Lake County, and entities that contain Lake County
Female
Male
10x5x0x5x10xFM#Lake MadisonBrant LakeRamonaNundaSouth DakotaMidwestWest North CentralUnited StatesLakeMadisonChester-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.991%5.99%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.750%3.75%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.077%3.08%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.167%4.17%4-1.000000x-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-1.000000x1.318591x1.318591x1.32x2.667%2.67%3.517%3.52%-1.308470x-1.308470x1.31x1.000000x1.000000x4.271%4.27%3.264%3.26%5-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.439%2.44%0.000%0%6
F percentage of females in category
M percentage of males in category
# rank of place out of 6 by male-to-female sex ratio

Educational Attainment by County Subdivision in Lake County

There are 20 county subdivisions in Lake County. This section compares all 20 of those to each other, Lake County, and other entities that contain or substantially overlap with Lake County.

No H.S. Diploma by County Subdivision#46

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Lake County, selected county subdivisions in Lake County, and entities that contain Lake County
0%5%10%15%Count#Town of NundaWayne TownshipWayneUnited States of AmericaUnited StatesMidwestTown of RamonaRamonaLake View TownshipLk VwFranklin TownshipFranklinWest North CentralWinfred TownshipWinfredSouth DakotaBadus TownshipBadusChester TownshipChesterMadisonNunda TownshipNundaLake CountyLakeRutland TownshipRutlandWentworthLe Roy TownshipLe RoyWentworth TownshipWentworthHerman TownshipHermanFarmington TownshipFarmingtonSummit TownshipSummitConcord TownshipConcordOrland TownshipOrlandClarno TownshipClarno18.181818%18.181818%18.2%8116.666667%16.666667%16.7%14213.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M10.169492%10.169492%10.2%1239.507042%9.507042%9.5%5449.248555%9.248555%9.2%1659.174633%9.174633%9.2%1,278,0511.28M9.027778%9.027778%9.0%1368.813537%8.813537%8.8%49,05549.1k7.500000%7.500000%7.5%676.924644%6.924644%6.9%3486.674392%6.674392%6.7%28896.122449%6.122449%6.1%3106.007024%6.007024%6.0%4964.651163%4.651163%4.7%6114.624277%4.624277%4.6%8123.832753%3.832753%3.8%11133.130755%3.130755%3.1%17141.121495%1.121495%1.1%6150.000000%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%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#47

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Lake County, selected county subdivisions in Lake County, and entities that contain Lake County
0%10%20%30%40%50%Count#Clarno TownshipClarnoWentworth TownshipWentworthLe Roy TownshipLe RoyRutland TownshipRutlandHerman TownshipHermanConcord TownshipConcordLake View TownshipLk VwMadisonLake CountyLakeUnited States of AmericaUnited StatesWest North CentralMidwestBadus TownshipBadusSouth DakotaFranklin TownshipFranklinWentworthTown of NundaFarmington TownshipFarmingtonChester TownshipChesterSummit TownshipSummitWinfred TownshipWinfredNunda TownshipNundaTown of RamonaRamonaWayne TownshipWayneOrland TownshipOrland53.333333%53.333333%53.3%8150.644567%50.644567%50.6%275241.811847%41.811847%41.8%120341.085271%41.085271%41.1%53440.373832%40.373832%40.4%216536.283186%36.283186%36.3%41635.035211%35.035211%35.0%199733.534183%33.534183%33.5%1,447833.208187%33.208187%33.2%2,74230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.500000%27.500000%27.5%22927.450336%27.450336%27.5%152,785153k26.589595%26.589595%26.6%461025.433526%25.433526%25.4%441125.000000%25.000000%25.0%111223.414634%23.414634%23.4%481323.217923%23.217923%23.2%1141421.167883%21.167883%21.2%291520.138889%20.138889%20.1%291618.367347%18.367347%18.4%91716.101695%16.101695%16.1%191814.285714%14.285714%14.3%12190.000000%0.000000%0.0%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#48

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Lake County, selected county subdivisions in Lake County, and entities that contain Lake County
0%1%2%3%4%5%6%Count#Herman TownshipHermanLake View TownshipLk VwMadisonUnited States of AmericaUnited StatesWentworth TownshipWentworthRutland TownshipRutlandLake CountyLakeWest North CentralMidwestSouth DakotaBadus TownshipBadusTown of NundaTown of RamonaRamonaSummit TownshipSummitChester TownshipChesterLe Roy TownshipLe RoyFranklin TownshipFranklinFarmington TownshipFarmingtonWentworthWinfred TownshipWinfredConcord TownshipConcordWayne TownshipWayneNunda TownshipNundaOrland TownshipOrlandClarno TownshipClarno6.168224%6.168224%6.2%3314.577465%4.577465%4.6%2623.777520%3.777520%3.8%16333.336158%3.336158%3.3%7,127,6737.13M3.130755%3.130755%3.1%1743.100775%3.100775%3.1%453.100400%3.100400%3.1%2562.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.514252%2.514252%2.5%13,99414.0k2.500000%2.500000%2.5%262.272727%2.272727%2.3%171.694915%1.694915%1.7%281.459854%1.459854%1.5%291.221996%1.221996%1.2%6100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%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%020
Count number of people in category
# rank of county subdivision out of 20 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#49

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 Lake County, selected county subdivisions in Lake County, and entities that contain Lake County
Female
Male
10x5x0x5x10xFM#HermanWentworthLe RoyWinfredRutlandBadusWayneNundaTown of NundaRamonaChesterLk VwLakeMadisonSouth DakotaWest North CentralMidwestUnited StatesWentworthFranklin-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.076%2.08%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.629%5.63%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.271%8.27%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.854%15.9%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.836%9.84%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%14.286%14.3%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%25.455%25.5%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.043%13.0%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%33.333%33.3%9-1.000000x-1.000000x8.969231x8.969231x8.97x1.887%1.89%16.923%16.9%10-1.000000x-1.000000x2.351613x2.351613x2.35x4.115%4.12%9.677%9.68%11-1.000000x-1.000000x1.785822x1.785822x1.79x6.641%6.64%11.859%11.9%12-1.000000x-1.000000x1.719013x1.719013x1.72x4.396%4.40%7.557%7.56%-1.000000x-1.000000x1.265403x1.265403x1.27x5.906%5.91%7.474%7.47%13-1.000000x-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%-1.000000x-1.000000x1.011628x1.011628x1.01x4.598%4.60%4.651%4.65%14-10.000000x-10.000000x> 10.0x1.000000x1.000000x22.222%22.2%0.000%0%15
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 15 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#50

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 Lake County, selected county subdivisions in Lake County, and entities that contain Lake County
Female
Male
0x5x10xFM#WentworthLk VwSummitRamonaBadusTown of NundaHermanSouth DakotaMidwestWest North CentralUnited StatesLakeRutlandChesterMadison-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.629%5.63%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.333%8.33%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.778%2.78%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.077%3.08%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.762%4.76%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.167%4.17%6-1.000000x-1.000000x2.269896x2.269896x2.27x3.659%3.66%8.304%8.30%7-1.000000x-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-1.000000x1.318591x1.318591x1.32x2.667%2.67%3.517%3.52%-1.000000x-1.000000x1.114754x1.114754x1.11x2.941%2.94%3.279%3.28%8-1.020576x-1.020576x1.02x1.000000x1.000000x1.235%1.23%1.210%1.21%9-1.308470x-1.308470x1.31x1.000000x1.000000x4.271%4.27%3.264%3.26%10
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 10 by male-to-female sex ratio

Educational Attainment by County in South Dakota

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

No H.S. Diploma by County#51

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Lake County, selected other counties in South Dakota, and entities that contain Lake 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 CountyCodingtonHanson 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%1,513367.826932%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#52

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Lake County, selected other counties in South Dakota, and entities that contain Lake County
0%10%20%30%40%Count#Clay CountyClayLincoln CountyLincolnBrookings CountyBrookingsLake CountyLakeHughes CountyHughesLawrence CountyLawrenceUnited States of AmericaUnited StatesMinnehaha CountyMinnehahaUnion CountyUnionWest North CentralMidwestPennington CountyPenningtonBrown CountyBrownSouth DakotaYankton 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%152,785153k27.331819%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#53

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Lake County, selected other counties in South Dakota, and entities that contain Lake 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 CountyMarshallWalworth 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%82152.368355%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#54

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 Lake County, selected other counties in South Dakota, and entities that contain Lake County
Female
Male
1x0x1x2xFM#HansonDeuelGrantLincolnHamlinDayMeadeBon HommeFall RiverButteDavisonEdmundsLakeHandMcCookDouglasPerkinsRobertsKingsburyCodingtonMoodyGregorySpinkLymanStanleyJacksonClayBrownDeweySouth 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-1.000000x1.288505x1.288505x1.29x4.505%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#55

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 Lake County, selected other counties in South Dakota, and entities that contain Lake County
Female
Male
10x5x0x5x10xFM#GrantDeweyButteMcCookCodingtonMoodyFall RiverTrippHutchinsonSpinkStanleyBrownPerkinsCharles MixHamlinLymanBrookingsMeadeBeadleUnionMinnehahaPenningtonTurnerBon 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-1.000000x2.106691x2.106691x2.11x0.601%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 Lake County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Lake County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#56

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Lake County, selected other counties in the United States, and entities that contain Lake 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 CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAlleghenyLake CountyLake28.837398%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%63,67163.7k437.696387%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%53,97454.0k506.007024%6.007024%6.0%496
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#57

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Lake County, selected other counties in the United States, and entities that contain Lake 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 CountyHonoluluLake CountyLakeSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisWest North CentralMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestSouth DakotaMiami-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%224,744225k2733.208187%33.208187%33.2%2,74232.800693%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%13,118,64213.1M27.450336%27.450336%27.5%152,785153k27.281635%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#58

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Lake County, selected other counties in the United States, and entities that contain Lake 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 CountyMaricopaLake CountyLakeDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensSouth DakotaFresno 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%83,20583.2k383.100400%3.100400%3.1%2563.037379%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%44,96545.0k432.514252%2.514252%2.5%13,99414.0k2.392530%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#59

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 Lake County, selected other counties in the United States, and entities that contain Lake County
Female
Male
1x0x1xFM#LakeMecklenburgSouth DakotaPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.719013x1.719013x1.72x4.396%4.40%7.557%7.56%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-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#60

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 Lake County, selected other counties in the United States, and entities that contain Lake County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarSouth DakotaMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaLakeSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%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-1.000000x1.318591x1.318591x1.32x2.667%2.67%3.517%3.52%-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Madison
Towns:
Nunda, Ramona
Townships:
Badus, Chester, Clarno, Concord, Farmington, Franklin, Herman, Lake View, Le Roy, Nunda, Orland, Rutland, Summit, Wayne, Wentworth, Winfred
Unincorporated Places:
Brant Lake, Chester, Lake Madison, Winfred
Villages:
Wentworth
ZIP Codes:
57016, 57022, 57042, 57050, 57054, 57057, 57071, 57075, 57076
Unified School Districts:
Chester 39-1, Colman-Egan 50-5, Madison 39-2, McCook 43-7, Oldham-Ramona 39-5, Rutland 39-4, Sioux Valley 05-5
Congressional District:
SD-At Large
State Senate District:
SD-8
State House District:
SD-8
Neighboring Counties:
Brookings, Kingsbury, McCook, Miner, Minnehaha, Moody
Nearby Counties:
Deuel, Hamlin, Hanson, Hutchinson, Lincoln, Lincoln, Pipestone, Rock, Turner