Educational Attainment in Grant County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Grant County
Grant County
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.622621%38.686675%32.622621%32.6%10,38910.4k58.757772%52.676105%58.757772%58.8%18,71218.7k8.619607%8.637220%8.619607%8.6%2,745
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 Wisconsin at large.
Scope: population of Wisconsin and Grant County
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-15.674785%-15.674785%-15.7%32.623%32.6%38.687%38.7%11.545399%11.545399%+11.5%58.758%58.8%52.676%52.7%-0.203923%-0.203923%-0.2%8.620%8.62%8.637%8.64%
% percentage with given level in Grant County
ref. percentage with given level in Wisconsin
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 Wisconsin and Grant County
Grant County
Wisconsin
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.014256%1.094506%1.014256%1.0%3231.199523%1.609379%1.199523%1.2%3826.003894%6.922399%6.003894%6.0%1,91213.119387%18.747154%13.119387%13.1%4,17811.285562%10.313236%11.285562%11.3%3,59420.150097%20.983992%20.150097%20.2%6,41738.607674%31.692113%38.607674%38.6%12,29512.3k4.791811%5.657202%4.791811%4.8%1,5263.253156%2.130908%3.253156%3.3%1,0360.574640%0.849110%0.574640%0.6%183
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 Wisconsin at large.
Scope: population of Wisconsin and Grant County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-7.332094%-7.332094%-7.3%1.014%1.01%1.095%1.09%-25.466745%-25.466745%-25.5%1.200%1.20%1.609%1.61%-13.268601%-13.268601%-13.3%6.004%6.00%6.922%6.92%-30.019313%-30.019313%-30.0%13.119%13.1%18.747%18.7%9.427941%9.427941%+9.4%11.286%11.3%10.313%10.3%-3.973955%-3.973955%-4.0%20.150%20.2%20.984%21.0%21.821078%21.821078%+21.8%38.608%38.6%31.692%31.7%-15.297168%-15.297168%-15.3%4.792%4.79%5.657%5.66%52.665240%52.665240%+52.7%3.253%3.25%2.131%2.13%-32.324360%-32.324360%-32.3%0.575%0.57%0.849%0.85%
% percentage with given level in Grant County
ref. percentage with given level in Wisconsin
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 Wisconsin and Grant County
More Females More Males
Wisconsin
Grant County
20%0%20%40%60%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-31.887046%-9.820753%-31.887046%32%37.113%37.1%28.140%28.1%8.774096%3.687318%8.774096%9%56.286%56.3%61.225%61.2%61.124715%21.929118%61.124715%61%6.600%6.60%10.635%10.6%
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 Wisconsin and Grant County
More Females More Males
Wisconsin
Grant County
50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None80.529116%49.112245%80.529116%81%0.723%0.72%1.305%1.31%52.692179%63.725126%52.692179%53%0.949%0.95%1.449%1.45%-90.054709%-26.714257%-90.054709%90%7.870%7.87%4.141%4.14%-25.100923%-10.314398%-25.100923%25%14.584%14.6%11.658%11.7%-35.464408%-14.230343%-35.464408%35%12.987%13.0%9.587%9.59%-11.643424%-1.828461%-11.643424%12%21.260%21.3%19.043%19.0%20.429744%7.484254%20.429744%20%35.026%35.0%42.182%42.2%76.117146%27.756322%76.117146%76%3.470%3.47%6.111%6.11%41.788683%11.346432%41.788683%42%2.690%2.69%3.815%3.81%61.124715%12.366663%61.124715%61%0.440%0.44%0.709%0.71%
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 Wisconsin and Grant County
Grant County
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-349.910017%12.755764%9.910017%9.9%8378,44611.179256%17.674080%11.179256%11.2%1,44012,88112.9k17.560295%22.171538%17.560295%17.6%8815,01718.538713%25.037795%18.538713%18.5%1,0205,502
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 Wisconsin at large.
Scope: population of Wisconsin and Grant County
30%20%10%0%%ref.65+45-6435-4425-34-22.309504%-22.309504%22.3%9.910%9.91%12.756%12.8%-36.747734%-36.747734%36.7%11.179%11.2%17.674%17.7%-20.798028%-20.798028%20.8%17.560%17.6%22.172%22.2%-25.957086%-25.957086%26.0%18.539%18.5%25.038%25.0%
% percentage in Grant County with a Bachelor's degree
ref percentage in Wisconsin 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 Wisconsin and Grant County
More Females More Males
Wisconsin
Grant County
100%50%0%FM65+45-6435-4425-347.071097%15.252186%7.071097%7.1%9.611%9.61%10.291%10.3%-5.159835%-8.291196%-5.159835%5.2%11.464%11.5%10.902%10.9%-43.969154%-22.719305%-43.969154%44.0%20.882%20.9%14.504%14.5%-110.573516%-29.514910%-110.573516%110.6%26.296%26.3%12.488%12.5%
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 Wisconsin and Grant County
Grant County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$51,913.000000$61,842.000000$51,913.000000$51.9k2,6178.218%8.22%$41,455.000000$48,286.000000$41,455.000000$41.5k4,17813.119%13.1%$30,935.000000$34,771.000000$30,935.000000$30.9k10,01110.0k31.436%31.4%$28,430.000000$30,475.000000$28,430.000000$28.4k12,29512.3k38.608%38.6%$22,451.000000$22,317.000000$22,451.000000$22.5k2,7458.620%8.62%$31,854.000000$36,855.000000$31,854.000000$31.9k31,84631.8k100.000%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 Wisconsin and Grant County
Female Male
Wisconsin
Grant County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-48,508.000000$-55,037.000000$-48,508.000000$48.5k$48,508.000000$8,167.000000$55,037.000000$18,141.000000$56,675.000000$56.7k1,5181,099$-36,503.000000$-40,915.000000$-36,503.000000$36.5k$36,503.000000$13,144.000000$40,915.000000$18,355.000000$49,647.000000$49.6k2,3201,858$-25,411.000000$-28,362.000000$-25,411.000000$25.4k$25,411.000000$13,208.000000$28,362.000000$14,055.000000$38,619.000000$38.6k5,4484,563$-21,334.000000$-23,872.000000$-21,334.000000$21.3k$21,334.000000$13,151.000000$23,872.000000$12,519.000000$34,485.000000$34.5k5,5726,723$-14,722.000000$-16,775.000000$-14,722.000000$14.7k$14,722.000000$10,967.000000$16,775.000000$9,472.000000$25,689.000000$25.7k1,0501,695$-26,248.000000$-30,829.000000$-26,248.000000$26.2k$26,248.000000$10,900.000000$30,829.000000$12,328.000000$37,148.000000$37.1k15,90815.9k15,93815.9k
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 Wisconsin and Grant County
Grant County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.278107%85.899471%87.278107%87.3%4,42584.711779%79.335494%84.711779%84.7%7,09875.487265%73.240943%75.487265%75.5%6,31350.629723%53.971506%50.629723%50.6%804
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 Wisconsin and Grant County
Female Male
Wisconsin
Grant County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-6.337438%-5.697819%-6.337438%6.3%6.337438%2.847437%5.697819%1.469036%9.184875%9.2%1,404983-0.000000%-17.429079%0.000000%0.0%0.000000%52.037618%17.429079%2.936718%52.037618%52.0%1660-0.000000%-10.924370%-14.441272%-4.641233%-10.924370%10.9%0.000000%14.441272%0.000000%0.0%013-32.620321%-3.600152%-31.307944%-36.220472%36.2%32.620321%31.307944%5.178771%32.620321%32.6%6146-19.736842%-22.693686%-19.736842%19.7%19.736842%31.911510%22.693686%3.979967%51.648352%51.6%9430
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 Wisconsin and Grant County
Female Male
Wisconsin
Grant County
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-18.958524%-5.024456%-28.711494%-2.079187%-23.982980%24.0%18.958524%28.711494%18.958524%19.0%2,8983,720-6.269592%-69.817364%-11.717867%-3.588054%-76.086957%76.1%6.269592%11.717867%6.269592%6.3%2035-36.134454%-44.377167%-36.134454%36.1%36.134454%7.198880%44.377167%4.100638%43.333333%43.3%1343-6.299213%-10.433533%-4.583778%-6.299213%6.3%6.299213%0.117900%10.433533%6.417112%6.4%128-8.791209%-12.261423%-13.316792%-4.610459%-21.052632%21.1%8.791209%13.316792%8.791209%8.8%1632
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 Grant 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
13%21%29%36%44%52%

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
42%49%55%62%68%75%

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
2%8%13%19%24%30%

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%0.8%1.6%2.4%3.2%4.0%

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%0.7%1.4%2.1%2.8%3.6%

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%4.0%8.1%12.1%16.1%20.2%

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
1.8%6.8%11.7%16.6%21.5%26.5%

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
3.0%6.9%10.8%14.6%18.5%22.5%

Detailed: Some College Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
10.0%14.2%18.4%22.6%26.8%31.1%

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
29%35%40%46%52%58%

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
0.7%3.4%6.0%8.7%11.3%14.0%

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%5%11%16%21%27%

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%1.4%2.8%4.1%5.5%6.9%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Grant 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
25.8%29.8%33.8%37.8%41.8%45.8%

Coarse: High School Diploma Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
49.4%52.9%56.4%59.9%63.3%66.9%

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
2.7%5.5%8.3%11.1%13.8%16.7%

Detailed: Doctorate Degree Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.8%2.7%3.6%4.6%

Detailed: Professional Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%1.2%2.0%2.8%3.6%4.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%5.1%6.9%8.7%10.5%12.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.8%10.7%12.5%14.4%16.2%18.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.3%7.4%9.5%11.6%13.7%15.8%

Detailed: Some College Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
17.5%19.1%20.7%22.2%23.8%25.4%

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
24.0%28.6%33.1%37.6%42.2%46.8%

Detailed: Some High School Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
1.8%3.8%5.8%7.8%9.8%11.9%

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
0.5%1.8%2.9%4.1%5.2%6.5%

Detailed: None Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.29%0.58%0.87%1.16%1.45%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Grant County

There are 22 places that are fully or partially contained within Grant County (17 fully and 5 partially). This section compares all 22 of those to each other, Grant County, and other entities that contain or substantially overlap with Grant 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 Grant County, selected places in Grant County, and entities that contain Grant County
0%5%10%15%Count#BoscobelMuscodaWoodmanUnited States of AmericaUnited StatesBagleyBlue RiverGlen HavenPotosiEast North CentralPatch GroveMidwestWisconsinPlatteville Metro AreaPlattevilleGrant CountyGrantLivingstonTennysonLancasterCassvilleMontfortKielerHazel GreenBloomingtonCuba CityMount HopeDickeyvilleFennimorePlattevilleSandy Hook19.118905%19.118905%19.1%447115.261473%15.261473%15.3%143213.793103%13.793103%13.8%8313.020590%13.020590%13.0%27,818,38027.8M12.500000%12.500000%12.5%41412.345679%12.345679%12.3%40511.111111%11.111111%11.1%6610.882957%10.882957%10.9%53710.719464%10.719464%10.7%3,363,7843.36M10.344828%10.344828%10.3%9810.244520%10.244520%10.2%4,641,8354.64M8.637220%8.637220%8.6%336,096336k8.619607%8.619607%8.6%2,7458.619607%8.619607%8.6%2,7457.906977%7.906977%7.9%3497.296137%7.296137%7.3%17106.925419%6.925419%6.9%182116.521739%6.521739%6.5%42126.471816%6.471816%6.5%31136.372549%6.372549%6.4%26145.823864%5.823864%5.8%41155.243446%5.243446%5.2%28165.172414%5.172414%5.2%75175.050505%5.050505%5.1%5184.574333%4.574333%4.6%36194.353011%4.353011%4.4%73204.088050%4.088050%4.1%195211.824818%1.824818%1.8%522
Count number of people in category
# rank of place out of 22 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 Grant County, selected places in Grant County, and entities that contain Grant County
0%10%20%30%Count#PlattevilleUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinCuba CityHazel GreenPotosiSandy HookPlatteville Metro AreaPlattevilleGrant CountyGrantLancasterPatch GroveFennimoreTennysonCassvilleMontfortBoscobelDickeyvilleMount HopeLivingstonGlen HavenKielerMuscodaBloomingtonBlue RiverBagleyWoodman34.528302%34.528302%34.5%1,647130.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M25.862069%25.862069%25.9%375225.284091%25.284091%25.3%178322.176591%22.176591%22.2%108421.532847%21.532847%21.5%59521.337060%21.337060%21.3%6,79521.337060%21.337060%21.3%6,79521.080670%21.080670%21.1%554620.689655%20.689655%20.7%18719.379845%19.379845%19.4%325816.738197%16.738197%16.7%39916.149068%16.149068%16.1%1041015.866388%15.866388%15.9%761114.499572%14.499572%14.5%3391214.358323%14.358323%14.4%1131314.141414%14.141414%14.1%141413.023256%13.023256%13.0%561512.962963%12.962963%13.0%71612.745098%12.745098%12.7%521711.312700%11.312700%11.3%1061811.235955%11.235955%11.2%601911.111111%11.111111%11.1%36204.573171%4.573171%4.6%15213.448276%3.448276%3.4%222
Count number of people in category
# rank of place out of 22 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 Grant County, selected places in Grant County, and entities that contain Grant County
0%2%4%6%Count#Glen HavenPlattevilleUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinLancasterPlatteville Metro AreaPlattevilleGrant CountyGrantSandy HookFennimoreHazel GreenMount HopeBoscobelCassvilleCuba CityBlue RiverTennysonMontfortDickeyvilleBagleyMuscodaBloomingtonPotosiLivingstonKielerPatch GroveWoodman7.407407%7.407407%7.4%416.897275%6.897275%6.9%32923.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.245053%2.245053%2.2%5932.213779%2.213779%2.2%7052.213779%2.213779%2.2%7051.824818%1.824818%1.8%541.669648%1.669648%1.7%2851.136364%1.136364%1.1%861.010101%1.010101%1.0%170.940975%0.940975%0.9%2280.931677%0.931677%0.9%690.620690%0.620690%0.6%9100.617284%0.617284%0.6%2110.429185%0.429185%0.4%1120.417537%0.417537%0.4%2130.381194%0.381194%0.4%3140.304878%0.304878%0.3%1150.000000%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%022
Count number of people in category
# rank of place out of 22 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 Grant County, selected places in Grant County, and entities that contain Grant County
Female
Male
10x5x0x5x10xFM#WoodmanCuba CityPatch GroveLancasterPotosiHazel GreenBoscobelBlue RiverDickeyvilleKielerPlattevilleGrantMount HopeLivingstonPlattevilleMuscodaWisconsinMontfortBagleyMidwestEast North CentralUnited StatesTennysonBloomingtonFennimoreGlen HavenCassvilleSandy Hook-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%33.333%33.3%1-1.000000x-1.000000x3.392993x3.392993x3.39x2.351%2.35%7.978%7.98%2-1.000000x-1.000000x3.266667x3.266667x3.27x4.762%4.76%15.556%15.6%3-1.000000x-1.000000x3.028235x3.028235x3.03x3.561%3.56%10.784%10.8%4-1.000000x-1.000000x2.585892x2.585892x2.59x6.098%6.10%15.768%15.8%5-1.000000x-1.000000x2.540605x2.540605x2.54x3.412%3.41%8.669%8.67%6-1.000000x-1.000000x2.487914x2.487914x2.49x10.652%10.7%26.501%26.5%7-1.000000x-1.000000x2.036609x2.036609x2.04x7.947%7.95%16.185%16.2%8-1.000000x-1.000000x1.964736x1.964736x1.96x3.077%3.08%6.045%6.05%9-1.000000x-1.000000x1.907499x1.907499x1.91x4.390%4.39%8.374%8.37%10-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%-1.000000x-1.000000x1.593750x1.593750x1.59x3.922%3.92%6.250%6.25%11-1.000000x-1.000000x1.428571x1.428571x1.43x6.512%6.51%9.302%9.30%12-1.000000x-1.000000x1.321988x1.321988x1.32x3.537%3.54%4.675%4.68%13-1.000000x-1.000000x1.274539x1.274539x1.27x13.445%13.4%17.137%17.1%14-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.174269x1.174269x1.17x5.976%5.98%7.018%7.02%15-1.000000x-1.000000x1.130907x1.130907x1.13x11.688%11.7%13.218%13.2%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.011213x-1.011213x1.01x1.000000x1.000000x7.339%7.34%7.258%7.26%17-1.255758x-1.255758x1.26x1.000000x1.000000x5.818%5.82%4.633%4.63%18-1.294266x-1.294266x1.29x1.000000x1.000000x4.862%4.86%3.756%3.76%19-1.454545x-1.454545x1.45x1.000000x1.000000x13.636%13.6%9.375%9.38%20-4.728097x-4.728097x4.73x1.000000x1.000000x10.574%10.6%2.236%2.24%21-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.472%3.47%0.000%0%22
F percentage of females in category
M percentage of males in category
# rank of place out of 22 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 Grant County, selected places in Grant County, and entities that contain Grant County
Female
Male
10x5x0x5x10xFM#DickeyvilleCassvilleBlue RiverMount HopeGlen HavenHazel GreenFennimorePlattevillePlattevilleGrantEast North CentralMidwestWisconsinUnited StatesLancasterBoscobelCuba CityMontfortBagleySandy HookTennyson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.756%0.76%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.917%1.92%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.156%1.16%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.083%2.08%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.500%12.5%5-1.000000x-1.000000x3.538700x3.538700x3.54x0.525%0.52%1.858%1.86%6-1.000000x-1.000000x2.110104x2.110104x2.11x1.105%1.10%2.332%2.33%7-1.000000x-1.000000x1.955441x1.955441x1.96x4.715%4.72%9.221%9.22%8-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.269958x1.269958x1.27x1.994%1.99%2.533%2.53%9-1.146924x-1.146924x1.15x1.000000x1.000000x1.010%1.01%0.881%0.88%10-1.256916x-1.256916x1.26x1.000000x1.000000x0.692%0.69%0.550%0.55%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.797%0.80%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.649%0.65%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.472%3.47%0.000%0%14-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.917%0.92%0.000%0%15
F percentage of females in category
M percentage of males in category
# rank of place out of 15 by male-to-female sex ratio

Educational Attainment by County Subdivision in Grant County

There are 52 county subdivisions in Grant County. This section compares the 50 most populous of those to each other, Grant County, and other entities that contain or substantially overlap with Grant County. The least populous of the compared county subdivisions has a population of 133.

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 Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
0%10%20%Count#Town of Hickory GroveHickory GrvTown of CliftonCliftonBoscobelTown of MarionMarionTown of Mount HopeMt HopeTown of Patch GrovePatch GrvTown of LibertyLibertyTown of South LancasterS LancasterTown of MuscodaMuscodaUnited States of AmericaUnited StatesMuscodaBagleyBlue RiverTown of Mount IdaMt IdaTown of EllenboroEllenboroTown of FennimoreFennimoreTown of PotosiPotosiPotosiEast North CentralTown of Castle RockCastle RockPatch GroveMidwestTown of WaterlooWaterlooTown of BoscobelBoscobelTown of BeetownBeetownWisconsinPlatteville Metro AreaPlattevilleGrant CountyGrantTown of WatterstownWatterstownTown of Glen HavenGln HvnTown of WingvilleWingvilleLivingstonTown of JamestownJamestownTown of MillvilleMillvilleTown of CassvilleCassvilleTennysonMontfortLancasterCassvilleTown of ParisTown of LimaTown of SmelserSmelserHazel GreenTown of Hazel GreenHazel GrnTown of PlattevillePlattevilleCuba CityTown of HarrisonHarrisonBloomingtonTown of BloomingtonBloomingtonMount HopeDickeyvilleTown of Little GrantLittle GrantFennimorePlattevilleTown of WyalusingWyalusingTown of North LancasterN Lancaster29.962547%29.962547%30.0%80122.519084%22.519084%22.5%59219.118905%19.118905%19.1%447316.747573%16.747573%16.7%69415.625000%15.625000%15.6%30515.416667%15.416667%15.4%37615.028902%15.028902%15.0%52714.236707%14.236707%14.2%83813.232514%13.232514%13.2%70913.020590%13.020590%13.0%27,818,38027.8M12.585034%12.585034%12.6%1111012.500000%12.500000%12.5%411112.345679%12.345679%12.3%401212.158055%12.158055%12.2%401311.924119%11.924119%11.9%441411.586902%11.586902%11.6%461511.468813%11.468813%11.5%571610.882957%10.882957%10.9%531710.719464%10.719464%10.7%3,363,7843.36M10.552764%10.552764%10.6%211810.344828%10.344828%10.3%91910.244520%10.244520%10.2%4,641,8354.64M10.199005%10.199005%10.2%41209.740260%9.740260%9.7%30219.090909%9.090909%9.1%38228.637220%8.637220%8.6%336,096336k8.619607%8.619607%8.6%2,7458.619607%8.619607%8.6%2,7458.300395%8.300395%8.3%21238.064516%8.064516%8.1%20248.045977%8.045977%8.0%21257.906977%7.906977%7.9%34267.850071%7.850071%7.9%111277.692308%7.692308%7.7%8287.508532%7.508532%7.5%22297.296137%7.296137%7.3%17307.192575%7.192575%7.2%31316.925419%6.925419%6.9%182326.521739%6.521739%6.5%42336.345733%6.345733%6.3%29346.142506%6.142506%6.1%25356.071429%6.071429%6.1%34365.942029%5.942029%5.9%41375.915813%5.915813%5.9%52385.822551%5.822551%5.8%63395.778120%5.778120%5.8%75405.454545%5.454545%5.5%18415.243446%5.243446%5.2%28425.098039%5.098039%5.1%13435.050505%5.050505%5.1%5444.574333%4.574333%4.6%36454.519774%4.519774%4.5%8464.353011%4.353011%4.4%73474.088050%4.088050%4.1%195483.070175%3.070175%3.1%7492.167183%2.167183%2.2%750
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#47

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
0%10%20%30%40%Count#Town of Hazel GreenHazel GrnTown of PlattevillePlattevillePlattevilleTown of WingvilleWingvilleUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinTown of HarrisonHarrisonHazel GreenCuba CityTown of SmelserSmelserTown of LimaTown of MillvilleMillvilleTown of WyalusingWyalusingTown of EllenboroEllenboroPotosiTown of ParisPlatteville Metro AreaPlattevilleGrant CountyGrantLancasterTown of North LancasterN LancasterPatch GroveTown of CliftonCliftonFennimoreTown of WatterstownWatterstownTown of Little GrantLittle GrantMontfortTown of Castle RockCastle RockTennysonTown of JamestownJamestownTown of PotosiPotosiCassvilleTown of South LancasterS LancasterTown of BloomingtonBloomingtonTown of FennimoreFennimoreBoscobelDickeyvilleMount HopeTown of MarionMarionLivingstonTown of LibertyLibertyTown of BoscobelBoscobelTown of Mount IdaMt IdaMuscodaTown of Patch GrovePatch GrvBloomingtonBlue RiverTown of Mount HopeMt HopeTown of Hickory GroveHickory GrvTown of Glen HavenGln HvnTown of MuscodaMuscodaTown of WaterlooWaterlooTown of CassvilleCassvilleTown of BeetownBeetownBagley42.662116%42.662116%42.7%375141.219963%41.219963%41.2%446234.528302%34.528302%34.5%1,647331.800766%31.800766%31.8%83430.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.060606%26.060606%26.1%86525.362319%25.362319%25.4%175625.038521%25.038521%25.0%325724.107143%24.107143%24.1%135824.078624%24.078624%24.1%98924.038462%24.038462%24.0%251023.245614%23.245614%23.2%531122.764228%22.764228%22.8%841222.176591%22.176591%22.2%1081321.663020%21.663020%21.7%991421.337060%21.337060%21.3%6,79521.337060%21.337060%21.3%6,79521.080670%21.080670%21.1%5541520.743034%20.743034%20.7%671620.689655%20.689655%20.7%181720.610687%20.610687%20.6%541819.379845%19.379845%19.4%3251918.577075%18.577075%18.6%472018.079096%18.079096%18.1%322117.633411%17.633411%17.6%762217.587940%17.587940%17.6%352316.738197%16.738197%16.7%392416.619519%16.619519%16.6%2352516.498994%16.498994%16.5%822616.149068%16.149068%16.1%1042715.780446%15.780446%15.8%922815.686275%15.686275%15.7%402915.113350%15.113350%15.1%603014.499572%14.499572%14.5%3393114.358323%14.358323%14.4%1133214.141414%14.141414%14.1%143313.349515%13.349515%13.3%553413.023256%13.023256%13.0%563513.005780%13.005780%13.0%453612.987013%12.987013%13.0%403712.462006%12.462006%12.5%413812.018141%12.018141%12.0%1063911.250000%11.250000%11.3%274011.235955%11.235955%11.2%604111.111111%11.111111%11.1%364210.937500%10.937500%10.9%214310.861423%10.861423%10.9%294410.483871%10.483871%10.5%264510.396975%10.396975%10.4%554610.199005%10.199005%10.2%41479.556314%9.556314%9.6%28486.220096%6.220096%6.2%26494.573171%4.573171%4.6%1550
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#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 Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
0%2%4%6%Count#PlattevilleTown of PlattevillePlattevilleTown of LimaTown of WatterstownWatterstownTown of Little GrantLittle GrantUnited States of AmericaUnited StatesTown of South LancasterS LancasterMidwestEast North CentralWisconsinLancasterPlatteville Metro AreaPlattevilleGrant CountyGrantTown of HarrisonHarrisonTown of WaterlooWaterlooTown of MillvilleMillvilleTown of EllenboroEllenboroTown of North LancasterN LancasterTown of Hazel GreenHazel GrnFennimoreTown of BoscobelBoscobelTown of Glen HavenGln HvnTown of SmelserSmelserTown of PotosiPotosiTown of MuscodaMuscodaTown of ParisHazel GreenTown of Hickory GroveHickory GrvTown of JamestownJamestownMount HopeTown of Castle RockCastle RockBoscobelCassvilleTown of Mount IdaMt IdaTown of BloomingtonBloomingtonCuba CityBlue RiverTown of BeetownBeetownMontfortTown of WyalusingWyalusingTennysonTown of WingvilleWingvilleDickeyvilleBagleyTown of MarionMarionMuscodaBloomingtonPotosiTown of FennimoreFennimoreLivingstonTown of LibertyLibertyTown of CliftonCliftonTown of CassvilleCassvilleTown of Patch GrovePatch GrvTown of Mount HopeMt HopePatch Grove6.897275%6.897275%6.9%32916.377079%6.377079%6.4%6924.668305%4.668305%4.7%1933.557312%3.557312%3.6%943.389831%3.389831%3.4%653.336158%3.336158%3.3%7,127,6737.13M2.915952%2.915952%2.9%1762.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.245053%2.245053%2.2%5972.213779%2.213779%2.2%7052.213779%2.213779%2.2%7052.121212%2.121212%2.1%781.990050%1.990050%2.0%891.923077%1.923077%1.9%2101.897019%1.897019%1.9%7111.857585%1.857585%1.9%6121.820250%1.820250%1.8%16131.669648%1.669648%1.7%28141.623377%1.623377%1.6%5151.612903%1.612903%1.6%4161.607143%1.607143%1.6%9171.408451%1.408451%1.4%7181.323251%1.323251%1.3%7191.312910%1.312910%1.3%6201.159420%1.159420%1.2%8211.123596%1.123596%1.1%3221.060820%1.060820%1.1%15231.010101%1.010101%1.0%1241.005025%1.005025%1.0%2250.940975%0.940975%0.9%22260.931677%0.931677%0.9%6270.911854%0.911854%0.9%3280.784314%0.784314%0.8%2290.693374%0.693374%0.7%9300.617284%0.617284%0.6%2310.478469%0.478469%0.5%2320.464037%0.464037%0.5%2330.438596%0.438596%0.4%1340.429185%0.429185%0.4%1350.383142%0.383142%0.4%1360.381194%0.381194%0.4%3370.304878%0.304878%0.3%1380.242718%0.242718%0.2%1390.000000%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#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 Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
Female
Male
6x4x2x0x2xFM#Cuba CityPatch GroveLancasterWatterstownPotosiMt IdaHazel GreenCastle RockBoscobelPatch GrvCassvilleLittle GrantLibertyMt HopeMarionSmelserBlue RiverN LancasterMuscodaDickeyvilleBoscobelPlattevilleGrantMount HopeFennimoreBloomingtonMillvilleHazel GrnLivingstonTown of LimaMuscodaPlattevilleHickory GrvBeetownWisconsinCliftonMontfortTown of ParisBagleyMidwestEast North CentralUnited StatesS LancasterTennysonJamestownWaterlooEllenboroBloomingtonHarrisonFennimorePlattevilleGln HvnPotosiWyalusingCassvilleWingville-1.000000x-1.000000x3.380368x3.380368x3.38x2.632%2.63%8.896%8.90%1-1.000000x-1.000000x3.266667x3.266667x3.27x4.762%4.76%15.556%15.6%2-1.000000x-1.000000x3.028235x3.028235x3.03x3.561%3.56%10.784%10.8%3-1.000000x-1.000000x2.933333x2.933333x2.93x4.132%4.13%12.121%12.1%4-1.000000x-1.000000x2.585892x2.585892x2.59x6.098%6.10%15.768%15.8%5-1.000000x-1.000000x2.583333x2.583333x2.58x6.383%6.38%16.489%16.5%6-1.000000x-1.000000x2.579128x2.579128x2.58x3.457%3.46%8.917%8.92%7-1.000000x-1.000000x2.536937x2.536937x2.54x5.682%5.68%14.414%14.4%8-1.000000x-1.000000x2.487914x2.487914x2.49x10.652%10.7%26.501%26.5%9-1.000000x-1.000000x2.419753x2.419753x2.42x8.571%8.57%20.741%20.7%10-1.000000x-1.000000x2.374194x2.374194x2.37x4.348%4.35%10.323%10.3%11-1.000000x-1.000000x2.363636x2.363636x2.36x2.564%2.56%6.061%6.06%12-1.000000x-1.000000x2.334869x2.334869x2.33x8.750%8.75%20.430%20.4%13-1.000000x-1.000000x2.238095x2.238095x2.24x9.574%9.57%21.429%21.4%14-1.000000x-1.000000x2.134043x2.134043x2.13x10.169%10.2%21.702%21.7%15-1.000000x-1.000000x2.050331x2.050331x2.05x3.876%3.88%7.947%7.95%16-1.000000x-1.000000x2.036609x2.036609x2.04x7.947%7.95%16.185%16.2%17-1.000000x-1.000000x2.036517x2.036517x2.04x1.379%1.38%2.809%2.81%18-1.000000x-1.000000x1.997661x1.997661x2.00x8.607%8.61%17.193%17.2%19-1.000000x-1.000000x1.964736x1.964736x1.96x3.077%3.08%6.045%6.05%20-1.000000x-1.000000x1.664384x1.664384x1.66x7.407%7.41%12.329%12.3%21-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%-1.000000x-1.000000x1.593750x1.593750x1.59x3.922%3.92%6.250%6.25%22-1.000000x-1.000000x1.581668x1.581668x1.58x8.901%8.90%14.078%14.1%23-1.000000x-1.000000x1.514504x1.514504x1.51x4.032%4.03%6.107%6.11%24-1.000000x-1.000000x1.484848x1.484848x1.48x6.122%6.12%9.091%9.09%25-1.000000x-1.000000x1.439895x1.439895x1.44x5.082%5.08%7.317%7.32%26-1.000000x-1.000000x1.428571x1.428571x1.43x6.512%6.51%9.302%9.30%27-1.000000x-1.000000x1.393365x1.393365x1.39x5.102%5.10%7.109%7.11%28-1.000000x-1.000000x1.330479x1.330479x1.33x10.811%10.8%14.384%14.4%29-1.000000x-1.000000x1.321988x1.321988x1.32x3.537%3.54%4.675%4.68%30-1.000000x-1.000000x1.280353x1.280353x1.28x25.862%25.9%33.113%33.1%31-1.000000x-1.000000x1.258503x1.258503x1.26x8.108%8.11%10.204%10.2%32-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.185143x1.185143x1.19x20.492%20.5%24.286%24.3%33-1.000000x-1.000000x1.165049x1.165049x1.17x6.667%6.67%7.767%7.77%34-1.000000x-1.000000x1.164384x1.164384x1.16x5.882%5.88%6.849%6.85%35-1.000000x-1.000000x1.130907x1.130907x1.13x11.688%11.7%13.218%13.2%36-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.056378x1.056378x1.06x13.861%13.9%14.643%14.6%37-1.011213x-1.011213x1.01x1.000000x1.000000x7.339%7.34%7.258%7.26%38-1.021066x-1.021066x1.02x1.000000x1.000000x7.932%7.93%7.768%7.77%39-1.105991x-1.105991x1.11x1.000000x1.000000x10.753%10.8%9.722%9.72%40-1.128854x-1.128854x1.13x1.000000x1.000000x12.727%12.7%11.275%11.3%41-1.255758x-1.255758x1.26x1.000000x1.000000x5.818%5.82%4.633%4.63%42-1.280675x-1.280675x1.28x1.000000x1.000000x6.135%6.13%4.790%4.79%43-1.294266x-1.294266x1.29x1.000000x1.000000x4.862%4.86%3.756%3.76%44-1.495425x-1.495425x1.50x1.000000x1.000000x7.059%7.06%4.720%4.72%45-1.508509x-1.508509x1.51x1.000000x1.000000x9.910%9.91%6.569%6.57%46-1.547378x-1.547378x1.55x1.000000x1.000000x14.222%14.2%9.191%9.19%47-1.561905x-1.561905x1.56x1.000000x1.000000x3.810%3.81%2.439%2.44%48-4.728097x-4.728097x4.73x1.000000x1.000000x10.574%10.6%2.236%2.24%49-7.159664x-7.159664x7.16x1.000000x1.000000x15.126%15.1%2.113%2.11%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 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 Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
Female
Male
10x5x0x5x10xFM#DickeyvilleCassvillePotosiBeetownMarionHickory GrvMt IdaBlue RiverWingvilleGln HvnWyalusingMount HopeMillvillePlattevilleHarrisonS LancasterHazel GreenTown of LimaTown of ParisFennimorePlattevilleBoscobelPlattevilleGrantEast North CentralMidwestWisconsinUnited StatesLancasterBloomingtonBoscobelWaterlooN LancasterCuba CityMuscodaEllenboroWatterstownSmelserLittle GrantJamestownHazel GrnMontfortBagleyTennysonCastle Rock-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.756%0.76%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.917%1.92%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.574%2.57%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.020%1.02%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.426%0.43%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.987%1.99%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.596%1.60%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.156%1.16%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.704%0.70%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.920%2.92%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.813%0.81%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.083%2.08%12-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.636%3.64%13-1.000000x-1.000000x5.944056x5.944056x5.94x1.765%1.76%10.490%10.5%14-1.000000x-1.000000x5.856287x5.856287x5.86x0.613%0.61%3.593%3.59%15-1.000000x-1.000000x5.050000x5.050000x5.05x0.990%0.99%5.000%5.00%16-1.000000x-1.000000x3.592357x3.592357x3.59x0.532%0.53%1.911%1.91%17-1.000000x-1.000000x2.600948x2.600948x2.60x2.551%2.55%6.635%6.64%18-1.000000x-1.000000x2.173516x2.173516x2.17x0.840%0.84%1.826%1.83%19-1.000000x-1.000000x2.110104x2.110104x2.11x1.105%1.10%2.332%2.33%20-1.000000x-1.000000x1.955441x1.955441x1.96x4.715%4.72%9.221%9.22%21-1.000000x-1.000000x1.664384x1.664384x1.66x1.235%1.23%2.055%2.05%22-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.269958x1.269958x1.27x1.994%1.99%2.533%2.53%23-1.056452x-1.056452x1.06x1.000000x1.000000x0.806%0.81%0.763%0.76%24-1.146924x-1.146924x1.15x1.000000x1.000000x1.010%1.01%0.881%0.88%25-1.161290x-1.161290x1.16x1.000000x1.000000x2.151%2.15%1.852%1.85%26-1.227586x-1.227586x1.23x1.000000x1.000000x2.069%2.07%1.685%1.69%27-1.261610x-1.261610x1.26x1.000000x1.000000x0.774%0.77%0.613%0.61%28-1.557377x-1.557377x1.56x1.000000x1.000000x1.639%1.64%1.053%1.05%29-1.648485x-1.648485x1.65x1.000000x1.000000x2.424%2.42%1.471%1.47%30-3.818182x-3.818182x3.82x1.000000x1.000000x5.785%5.79%1.515%1.52%31-4.096899x-4.096899x4.10x1.000000x1.000000x2.713%2.71%0.662%0.66%32-6.346154x-6.346154x6.35x1.000000x1.000000x6.410%6.41%1.010%1.01%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.125%2.12%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.904%2.90%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.889%0.89%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.649%0.65%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.917%0.92%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.273%2.27%0.000%0%39
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 39 by male-to-female sex ratio

Educational Attainment by County in Wisconsin

There are 72 counties in Wisconsin. This section compares Grant County to the 50 most populous counties in Wisconsin and to those entities that contain or substantially overlap with Grant County. The least populous of the compared counties has a population of 20,566.

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 Grant County, selected other counties in Wisconsin, and entities that contain Grant County
0%5%10%15%Count#Clark CountyClarkJuneau CountyJuneauWaushara CountyWausharaMilwaukee CountyMilwaukeeUnited States of AmericaUnited StatesVernon CountyVernonJackson CountyJacksonRacine CountyRacineDodge CountyDodgeEast North CentralRock CountyRockTrempealeau CountyTrempealeauMidwestBarron CountyBarronKenosha CountyKenoshaMonroe CountyMonroeLincoln CountyLincolnOconto CountyOcontoShawano CountyShawanoWaupaca CountyWaupacaSauk CountySaukManitowoc CountyManitowocWalworth CountyWalworthJefferson CountyJeffersonMarathon CountyMarathonWisconsinMarinette CountyMarinettePlatteville Metro AreaPlattevilleGrant CountyGrantBrown CountyBrownFond du Lac CountyFond du LacSheboygan CountySheboyganOneida CountyOneidaWinnebago CountyWinnebagoChippewa CountyChippewaGreen CountyGreenWood CountyWoodVilas CountyVilasCalumet CountyCalumetColumbia CountyColumbiaPolk CountyPolkDunn CountyDunnEau Claire CountyEau ClairePortage CountyPortageIowa CountyIowaOutagamie CountyOutagamieDouglas CountyDouglasDoor CountyDoorWashington CountyWashingtonLa Crosse CountyLa CrossePierce CountyPierceDane CountyDaneSt. Croix CountySt. CroixWaukesha CountyWaukeshaOzaukee CountyOzaukee18.376088%18.376088%18.4%3,990113.948397%13.948397%13.9%2,676213.760962%13.760962%13.8%2,495313.092854%13.092854%13.1%81,52281.5k413.020590%13.020590%13.0%27,818,38027.8M11.937598%11.937598%11.9%2,441511.792912%11.792912%11.8%1,697611.170104%11.170104%11.2%14,74814.7k710.956491%10.956491%11.0%6,905810.719464%10.719464%10.7%3,363,7843.36M10.591406%10.591406%10.6%11,47611.5k910.579732%10.579732%10.6%2,1371010.244520%10.244520%10.2%4,641,8354.64M10.080658%10.080658%10.1%3,2621110.003168%10.003168%10.0%11,05311.1k129.792887%9.792887%9.8%2,993139.699758%9.699758%9.7%2,003149.607260%9.607260%9.6%2,615159.364060%9.364060%9.4%2,755169.145423%9.145423%9.1%3,401179.112219%9.112219%9.1%4,004189.100310%9.100310%9.1%5,192199.074810%9.074810%9.1%6,098208.872860%8.872860%8.9%5,068218.851943%8.851943%8.9%8,210228.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,598238.619607%8.619607%8.6%2,7458.619607%8.619607%8.6%2,745248.601954%8.601954%8.6%14,60514.6k258.427102%8.427102%8.4%5,939268.367242%8.367242%8.4%6,683277.965352%7.965352%8.0%2,161287.893714%7.893714%7.9%8,936297.879569%7.879569%7.9%3,486307.788090%7.788090%7.8%2,014317.658332%7.658332%7.7%3,988327.548309%7.548309%7.5%1,250337.361483%7.361483%7.4%2,446347.225680%7.225680%7.2%2,879357.209656%7.209656%7.2%2,228367.133617%7.133617%7.1%1,930376.868874%6.868874%6.9%4,373386.784049%6.784049%6.8%3,040396.566661%6.566661%6.6%1,090406.470675%6.470675%6.5%7,873416.427874%6.427874%6.4%1,974426.365714%6.365714%6.4%1,365436.072757%6.072757%6.1%5,649445.474767%5.474767%5.5%4,066455.314614%5.314614%5.3%1,359464.746468%4.746468%4.7%15,98916.0k474.242959%4.242959%4.2%2,454484.116150%4.116150%4.1%11,37011.4k493.651213%3.651213%3.7%2,21350
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 Grant County, selected other counties in Wisconsin, and entities that contain Grant County
0%10%20%30%40%Count#Dane CountyDaneOzaukee CountyOzaukeeWaukesha CountyWaukeshaSt. Croix CountySt. CroixLa Crosse CountyLa CrosseDoor CountyDoorEau Claire CountyEau ClaireUnited States of AmericaUnited StatesPortage CountyPortageMilwaukee CountyMilwaukeeWashington CountyWashingtonMidwestCalumet CountyCalumetEast North CentralWisconsinBrown CountyBrownWalworth CountyWalworthPierce CountyPierceOutagamie CountyOutagamieWinnebago CountyWinnebagoVilas CountyVilasDunn CountyDunnOneida CountyOneidaKenosha CountyKenoshaRacine CountyRacineMarathon CountyMarathonSheboygan CountySheboyganJefferson CountyJeffersonIowa CountyIowaDouglas CountyDouglasGreen CountyGreenColumbia CountyColumbiaSauk CountySaukFond du Lac CountyFond du LacPlatteville Metro AreaPlattevilleGrant CountyGrantVernon CountyVernonRock CountyRockWood CountyWoodManitowoc CountyManitowocPolk CountyPolkChippewa CountyChippewaTrempealeau CountyTrempealeauBarron CountyBarronMonroe CountyMonroeWaupaca CountyWaupacaDodge CountyDodgeOconto CountyOcontoLincoln CountyLincolnShawano CountyShawanoWaushara CountyWausharaMarinette CountyMarinetteJackson CountyJacksonJuneau CountyJuneauClark CountyClark49.026156%49.026156%49.0%165,150165k146.663917%46.663917%46.7%28,28328.3k241.623436%41.623436%41.6%114,976115k333.399035%33.399035%33.4%19,31719.3k432.470243%32.470243%32.5%24,11524.1k531.324908%31.324908%31.3%6,717630.750503%30.750503%30.8%19,57719.6k730.315023%30.315023%30.3%64,767,78764.8M30.305059%30.305059%30.3%13,58013.6k829.748251%29.748251%29.7%185,226185k929.422072%29.422072%29.4%27,36927.4k1028.952816%28.952816%29.0%13,118,64213.1M28.702561%28.702561%28.7%9,5371128.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k1227.818206%27.818206%27.8%18,69318.7k1327.816667%27.816667%27.8%7,1131427.785357%27.785357%27.8%33,80733.8k1526.886859%26.886859%26.9%30,43730.4k1626.811594%26.811594%26.8%4,4401726.627241%26.627241%26.6%7,2041826.247696%26.247696%26.2%7,1211924.646364%24.646364%24.6%27,23327.2k2023.972400%23.972400%24.0%31,65131.7k2123.939061%23.939061%23.9%22,20322.2k2223.621840%23.621840%23.6%18,86718.9k2323.470710%23.470710%23.5%13,40613.4k2423.037532%23.037532%23.0%3,8242522.777597%22.777597%22.8%6,9952622.687548%22.687548%22.7%5,8672722.675936%22.675936%22.7%9,0352822.323115%22.323115%22.3%9,8092921.924087%21.924087%21.9%15,45115.5k3021.337060%21.337060%21.3%6,79521.337060%21.337060%21.3%6,7953121.214789%21.214789%21.2%4,3383220.765653%20.765653%20.8%22,50022.5k3320.382533%20.382533%20.4%10,61410.6k3419.658914%19.658914%19.7%11,21611.2k3519.600039%19.600039%19.6%6,0573619.278497%19.278497%19.3%8,5293719.253428%19.253428%19.3%3,8893818.214407%18.214407%18.2%5,8943918.178844%18.178844%18.2%5,5564017.664300%17.664300%17.7%6,5694116.254641%16.254641%16.3%10,24410.2k4216.194570%16.194570%16.2%4,4084315.961259%15.961259%16.0%3,2964415.597702%15.597702%15.6%4,5894515.084662%15.084662%15.1%2,7354614.508202%14.508202%14.5%4,3694713.870744%13.870744%13.9%1,9964812.921553%12.921553%12.9%2,4794911.476995%11.476995%11.5%2,49250
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 Grant County, selected other counties in Wisconsin, and entities that contain Grant County
0%2%4%6%Count#Dane CountyDaneOzaukee CountyOzaukeeLa Crosse CountyLa CrosseWaukesha CountyWaukeshaUnited States of AmericaUnited StatesDoor CountyDoorEau Claire CountyEau ClairePortage CountyPortageMilwaukee CountyMilwaukeeMidwestEast North CentralDunn CountyDunnWisconsinVilas CountyVilasSt. Croix CountySt. CroixOneida CountyOneidaWalworth CountyWalworthWood CountyWoodPlatteville Metro AreaPlattevilleGrant CountyGrantMarathon CountyMarathonBrown CountyBrownWinnebago CountyWinnebagoIowa CountyIowaGreen CountyGreenBarron CountyBarronVernon CountyVernonOutagamie CountyOutagamieKenosha CountyKenoshaPierce CountyPierceSauk CountySaukColumbia CountyColumbiaJefferson CountyJeffersonWashington CountyWashingtonRacine CountyRacineRock CountyRockDouglas CountyDouglasChippewa CountyChippewaSheboygan CountySheboyganFond du Lac CountyFond du LacPolk CountyPolkMonroe CountyMonroeCalumet CountyCalumetMarinette CountyMarinetteDodge CountyDodgeShawano CountyShawanoLincoln CountyLincolnOconto CountyOcontoManitowoc CountyManitowocWaupaca CountyWaupacaJackson CountyJacksonJuneau CountyJuneauTrempealeau CountyTrempealeauWaushara CountyWausharaClark CountyClark6.978843%6.978843%7.0%23,50923.5k15.805973%5.805973%5.8%3,51924.130985%4.130985%4.1%3,06833.942743%3.942743%3.9%10,89110.9k43.336158%3.336158%3.3%7,127,6737.13M3.143217%3.143217%3.1%67453.130498%3.130498%3.1%1,99363.030506%3.030506%3.0%1,35872.985811%2.985811%3.0%18,59118.6k82.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.786916%2.786916%2.8%75492.703886%2.703886%2.7%105,215105k2.644928%2.644928%2.6%438102.636720%2.636720%2.6%1,525112.631773%2.631773%2.6%714122.573032%2.573032%2.6%1,729132.536775%2.536775%2.5%1,321142.213779%2.213779%2.2%7052.213779%2.213779%2.2%705152.197352%2.197352%2.2%2,038162.072008%2.072008%2.1%3,518172.028197%2.028197%2.0%2,296182.012169%2.012169%2.0%334191.956690%1.956690%2.0%506201.912914%1.912914%1.9%619211.907277%1.907277%1.9%390221.866494%1.866494%1.9%2,271231.856193%1.856193%1.9%2,051241.849752%1.849752%1.8%473251.847932%1.847932%1.8%812261.744303%1.744303%1.7%695271.735005%1.735005%1.7%991281.704973%1.704973%1.7%1,586291.651885%1.651885%1.7%2,181301.557885%1.557885%1.6%1,688311.549984%1.549984%1.5%476321.491829%1.491829%1.5%660331.476130%1.476130%1.5%1,179341.464349%1.464349%1.5%1,032351.459405%1.459405%1.5%451361.456009%1.456009%1.5%445371.390435%1.390435%1.4%462381.321644%1.321644%1.3%398391.304306%1.304306%1.3%822401.291594%1.291594%1.3%380411.099274%1.099274%1.1%227421.076454%1.076454%1.1%293431.074440%1.074440%1.1%613441.070238%1.070238%1.1%398451.063238%1.063238%1.1%153461.042481%1.042481%1.0%200470.955493%0.955493%1.0%193480.932105%0.932105%0.9%169490.801363%0.801363%0.8%17450
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 Grant County, selected other counties in Wisconsin, and entities that contain Grant County
Female
Male
1x0x1xFM#LincolnPlattevilleGrantDoorWinnebagoTrempealeauPierceChippewaJacksonShawanoGreenMonroeManitowocOcontoJuneauWaupacaClarkDouglasRacineSaukIowaPolkWalworthColumbiaOutagamieOneidaVilasDunnKenoshaFond du LacDodgePortageBrownWoodWisconsinBarronCalumetMarathonRockDaneWausharaWaukeshaSheboyganMidwestWashingtonEast North CentralMilwaukeeUnited StatesVernonJeffersonEau ClaireMarinetteSt. CroixLa CrosseOzaukee-1.000000x-1.000000x1.701366x1.701366x1.70x7.198%7.20%12.247%12.2%1-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%2-1.000000x-1.000000x1.599739x1.599739x1.60x4.927%4.93%7.882%7.88%3-1.000000x-1.000000x1.548094x1.548094x1.55x6.189%6.19%9.581%9.58%4-1.000000x-1.000000x1.543397x1.543397x1.54x8.305%8.31%12.818%12.8%5-1.000000x-1.000000x1.493476x1.493476x1.49x4.256%4.26%6.357%6.36%6-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%7-1.000000x-1.000000x1.449841x1.449841x1.45x9.497%9.50%13.769%13.8%8-1.000000x-1.000000x1.432451x1.432451x1.43x7.710%7.71%11.044%11.0%9-1.000000x-1.000000x1.408297x1.408297x1.41x6.491%6.49%9.141%9.14%10-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%11-1.000000x-1.000000x1.389119x1.389119x1.39x7.638%7.64%10.610%10.6%12-1.000000x-1.000000x1.374304x1.374304x1.37x8.070%8.07%11.091%11.1%13-1.000000x-1.000000x1.372407x1.372407x1.37x11.643%11.6%15.979%16.0%14-1.000000x-1.000000x1.345859x1.345859x1.35x7.796%7.80%10.492%10.5%15-1.000000x-1.000000x1.344554x1.344554x1.34x15.666%15.7%21.064%21.1%16-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%17-1.000000x-1.000000x1.324710x1.324710x1.32x9.652%9.65%12.786%12.8%18-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%19-1.000000x-1.000000x1.317393x1.317393x1.32x5.673%5.67%7.473%7.47%20-1.000000x-1.000000x1.317139x1.317139x1.32x6.222%6.22%8.196%8.20%21-1.000000x-1.000000x1.312179x1.312179x1.31x7.868%7.87%10.324%10.3%22-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%23-1.000000x-1.000000x1.304911x1.304911x1.30x5.628%5.63%7.345%7.34%24-1.000000x-1.000000x1.304731x1.304731x1.30x6.919%6.92%9.027%9.03%25-1.000000x-1.000000x1.271978x1.271978x1.27x6.646%6.65%8.453%8.45%26-1.000000x-1.000000x1.264913x1.264913x1.26x6.297%6.30%7.965%7.96%27-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%28-1.000000x-1.000000x1.243849x1.243849x1.24x7.537%7.54%9.375%9.37%29-1.000000x-1.000000x1.242121x1.242121x1.24x9.722%9.72%12.076%12.1%30-1.000000x-1.000000x1.236850x1.236850x1.24x6.069%6.07%7.506%7.51%31-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%32-1.000000x-1.000000x1.235773x1.235773x1.24x6.872%6.87%8.492%8.49%33-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.205037x1.205037x1.21x9.154%9.15%11.030%11.0%34-1.000000x-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%35-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%36-1.000000x-1.000000x1.191494x1.191494x1.19x9.696%9.70%11.553%11.6%37-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%38-1.000000x-1.000000x1.183552x1.183552x1.18x12.548%12.5%14.851%14.9%39-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%40-1.000000x-1.000000x1.140135x1.140135x1.14x7.823%7.82%8.920%8.92%41-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127252x1.127252x1.13x5.716%5.72%6.443%6.44%42-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%43-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106354x1.106354x1.11x11.340%11.3%12.546%12.5%44-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%45-1.000000x-1.000000x1.070745x1.070745x1.07x6.639%6.64%7.109%7.11%46-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%47-1.000000x-1.000000x1.019047x1.019047x1.02x4.203%4.20%4.283%4.28%48-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%49-1.036965x-1.036965x1.04x1.000000x1.000000x3.715%3.71%3.582%3.58%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 Grant County, selected other counties in Wisconsin, and entities that contain Grant County
Female
Male
1x0x1x2xFM#PortageJuneauOneidaWinnebagoSheboyganLincolnEau ClaireFond du LacPolkClarkSaukWaupacaOzaukeeWoodManitowocShawanoVilasSt. CroixWalworthMarinetteRockBrownDunnWaukeshaDouglasBarronCalumetJeffersonPlattevilleGrantLa CrosseRacineColumbiaEast North CentralMidwestWisconsinKenoshaUnited StatesGreenTrempealeauMilwaukeeMonroeWausharaDoorOutagamieMarathonDanePierceWashingtonVernonDodgeIowaOcontoChippewaJackson-1.000000x-1.000000x2.277540x2.277540x2.28x1.853%1.85%4.219%4.22%1-1.000000x-1.000000x2.264652x2.264652x2.26x0.623%0.62%1.412%1.41%2-1.000000x-1.000000x2.218029x2.218029x2.22x1.640%1.64%3.637%3.64%3-1.000000x-1.000000x2.174213x2.174213x2.17x1.275%1.28%2.773%2.77%4-1.000000x-1.000000x2.031853x2.031853x2.03x0.976%0.98%1.984%1.98%5-1.000000x-1.000000x2.023351x2.023351x2.02x0.729%0.73%1.476%1.48%6-1.000000x-1.000000x2.013470x2.013470x2.01x2.093%2.09%4.215%4.21%7-1.000000x-1.000000x1.953821x1.953821x1.95x1.002%1.00%1.957%1.96%8-1.000000x-1.000000x1.945823x1.945823x1.95x0.991%0.99%1.928%1.93%9-1.000000x-1.000000x1.933595x1.933595x1.93x0.546%0.55%1.055%1.06%10-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%11-1.000000x-1.000000x1.880009x1.880009x1.88x0.743%0.74%1.397%1.40%12-1.000000x-1.000000x1.872688x1.872688x1.87x4.090%4.09%7.659%7.66%13-1.000000x-1.000000x1.814669x1.814669x1.81x1.818%1.82%3.299%3.30%14-1.000000x-1.000000x1.806143x1.806143x1.81x0.769%0.77%1.390%1.39%15-1.000000x-1.000000x1.801551x1.801551x1.80x0.924%0.92%1.665%1.66%16-1.000000x-1.000000x1.794571x1.794571x1.79x1.894%1.89%3.398%3.40%17-1.000000x-1.000000x1.774639x1.774639x1.77x1.907%1.91%3.384%3.38%18-1.000000x-1.000000x1.769950x1.769950x1.77x1.867%1.87%3.304%3.30%19-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%20-1.000000x-1.000000x1.733327x1.733327x1.73x1.151%1.15%1.995%2.00%21-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%22-1.000000x-1.000000x1.701002x1.701002x1.70x2.062%2.06%3.507%3.51%23-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%24-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%25-1.000000x-1.000000x1.674221x1.674221x1.67x1.435%1.44%2.403%2.40%26-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%27-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%28-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%29-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%30-1.000000x-1.000000x1.641913x1.641913x1.64x1.260%1.26%2.069%2.07%31-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%32-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519133x1.519133x1.52x1.560%1.56%2.370%2.37%34-1.000000x-1.000000x1.514826x1.514826x1.51x0.759%0.76%1.149%1.15%35-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%36-1.000000x-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%37-1.000000x-1.000000x1.474810x1.474810x1.47x0.746%0.75%1.100%1.10%38-1.000000x-1.000000x1.464487x1.464487x1.46x2.563%2.56%3.754%3.75%39-1.000000x-1.000000x1.455713x1.455713x1.46x1.525%1.53%2.220%2.22%40-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%41-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%42-1.000000x-1.000000x1.403843x1.403843x1.40x1.537%1.54%2.158%2.16%43-1.000000x-1.000000x1.374225x1.374225x1.37x1.441%1.44%1.980%1.98%44-1.000000x-1.000000x1.357719x1.357719x1.36x1.620%1.62%2.199%2.20%45-1.000000x-1.000000x1.235296x1.235296x1.24x1.161%1.16%1.434%1.43%46-1.000000x-1.000000x1.129194x1.129194x1.13x1.891%1.89%2.135%2.14%47-1.000000x-1.000000x1.084340x1.084340x1.08x1.032%1.03%1.119%1.12%48-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%49-1.147189x-1.147189x1.15x1.000000x1.000000x1.142%1.14%0.995%1.00%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 Grant County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Grant 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 Grant County, selected other counties in the United States, and entities that contain Grant 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 CostaEast North CentralMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonWisconsinPlatteville Metro AreaPlattevilleGrant CountyGrantFairfax CountyFairfaxWake 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%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.377895%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%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.637220%8.637220%8.6%336,096336k8.619607%8.619607%8.6%2,7458.619607%8.619607%8.6%2,7458.282040%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%53,97454.0k50
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#57

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Grant County, selected other counties in the United States, and entities that contain Grant 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 CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralWisconsinMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWaynePlatteville Metro AreaPlattevilleGrant CountyGrantRiverside 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%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.281635%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%260,985261k4621.337060%21.337060%21.3%6,79521.337060%21.337060%21.3%6,79521.189043%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 Grant County, selected other counties in the United States, and entities that contain Grant 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 CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensWisconsinFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversidePlatteville Metro AreaPlattevilleGrant CountyGrantWayne 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%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.703886%2.703886%2.7%105,215105k2.392530%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%33,20433.2k472.213779%2.213779%2.2%7052.213779%2.213779%2.2%7052.178386%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 Grant County, selected other counties in the United States, and entities that contain Grant County
Female
Male
1x0x1xFM#PlattevilleGrantMecklenburgPalm BeachWisconsinWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-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-1.000000x1.132218x1.132218x1.13x11.472%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-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-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 Grant County, selected other counties in the United States, and entities that contain Grant County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaPlattevilleGrantSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauWisconsinBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%-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-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-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-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-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-1.000000x1.567965x1.567965x1.57x3.409%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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Principal City:
Platteville
Cities:
Boscobel, Cuba City, Fennimore, Lancaster, Platteville
Towns:
Beetown, Bloomington, Boscobel, Cassville, Castle Rock, Clifton, Ellenboro, Fennimore, Glen Haven, Harrison, Hazel Green, Hickory Grove, Jamestown, Liberty, Lima, Little Grant, Marion, Millville, Mount Hope, Mount Ida, Muscoda, North Lancaster, Paris, Patch Grove, Platteville, Potosi, Smelser, South Lancaster, Waterloo, Watterstown, Wingville, Woodman, Wyalusing
Unincorporated Places:
Glen Haven, Kieler, Sandy Hook
Villages:
Bagley, Bloomington, Blue River, Cassville, Dickeyville, Hazel Green, Livingston, Montfort, Mount Hope, Muscoda, Patch Grove, Potosi, Tennyson, Woodman
ZIP Codes:
53518, 53543, 53554, 53569, 53573, 53801, 53802, 53804, 53805, 53806, 53807, 53808, 53809, 53810, 53811, 53813, 53816, 53817, 53818, 53820, 53821, 53825, 53827
Unified School Districts:
Benton, Boscobel, Cassville, Cuba, Fennimore, Highland, Iowa-Grant, Lancaster, Platteville, Potosi, River Ridge, Riverdale, Southwestern Wisconsin
Congressional District:
WI-3
State Senate District:
WI-17
Assembly District:
WI-49
Neighboring Counties:
Clayton, Crawford, Dubuque, Iowa, Jo Daviess, Lafayette, Richland
Nearby Counties:
Allamakee, Delaware, Jackson, Jones, Sauk, Vernon