Educational Attainment in Columbia County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Columbia County
Columbia County
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.099388%38.686675%35.099388%35.1%13,98514.0k57.674932%52.676105%57.674932%57.7%22,98023.0k7.225680%8.637220%7.225680%7.2%2,879
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 Columbia County
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-9.272668%-9.272668%-9.3%35.099%35.1%38.687%38.7%9.489743%9.489743%+9.5%57.675%57.7%52.676%52.7%-16.342526%-16.342526%-16.3%7.226%7.23%8.637%8.64%
% percentage with given level in Columbia 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 Columbia County
Columbia County
Wisconsin
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.614898%1.094506%0.614898%0.6%2451.129405%1.609379%1.129405%1.1%4504.670716%6.922399%4.670716%4.7%1,86116.260918%18.747154%16.260918%16.3%6,47912.423451%10.313236%12.423451%12.4%4,95022.630760%20.983992%22.630760%22.6%9,01735.044172%31.692113%35.044172%35.0%13,96314.0k5.017067%5.657202%5.017067%5.0%1,9991.551049%2.130908%1.551049%1.6%6180.657565%0.849110%0.657565%0.7%262
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 Columbia County
-40%-20%-0%+20%+40%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-43.819594%-43.819594%-43.8%0.615%0.61%1.095%1.09%-29.823581%-29.823581%-29.8%1.129%1.13%1.609%1.61%-32.527501%-32.527501%-32.5%4.671%4.67%6.922%6.92%-13.261940%-13.261940%-13.3%16.261%16.3%18.747%18.7%20.461236%20.461236%+20.5%12.423%12.4%10.313%10.3%7.847736%7.847736%+7.8%22.631%22.6%20.984%21.0%10.576949%10.576949%+10.6%35.044%35.0%31.692%31.7%-11.315413%-11.315413%-11.3%5.017%5.02%5.657%5.66%-27.211823%-27.211823%-27.2%1.551%1.55%2.131%2.13%-22.558361%-22.558361%-22.6%0.658%0.66%0.849%0.85%
% percentage with given level in Columbia 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 Columbia County
More Females More Males
Wisconsin
Columbia County
10%0%10%20%30%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-18.065586%-9.820753%-18.065586%18%38.046%38.0%32.224%32.2%6.953670%3.687318%6.953670%7%55.714%55.7%59.588%59.6%31.205943%21.929118%31.205943%31%6.240%6.24%8.187%8.19%
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 Columbia County
More Females More Males
Wisconsin
Columbia County
50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None59.501745%49.112245%59.501745%60%0.473%0.47%0.754%0.75%65.376868%63.725126%65.376868%65%0.849%0.85%1.403%1.40%-55.227654%-26.714257%-55.227654%55%5.696%5.70%3.670%3.67%-14.491402%-10.314398%-14.491402%14%17.374%17.4%15.175%15.2%-21.668545%-14.230343%-21.668545%22%13.654%13.7%11.222%11.2%-4.698237%-1.828461%-4.698237%5%23.157%23.2%22.118%22.1%15.091175%7.484254%15.091175%15%32.558%32.6%37.471%37.5%54.454273%27.756322%54.454273%54%3.933%3.93%6.075%6.07%-23.695491%-23.695491%24%11.346432%1.718%1.72%1.389%1.39%22.828646%12.366663%22.828646%23%0.589%0.59%0.724%0.72%
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 Columbia County
Columbia County
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-349.928073%12.755764%9.928073%9.9%9119,17615.995029%17.674080%15.995029%16.0%2,70316,89916.9k22.042481%22.171538%22.042481%22.0%1,5677,10919.489489%25.037795%19.489489%19.5%1,2986,660
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 Columbia County
20%15%10%5%0%%ref.65+45-6435-4425-34-22.167947%-22.167947%22.2%9.928%9.93%12.756%12.8%-9.500076%-9.500076%9.5%15.995%16.0%17.674%17.7%-0.582081%-0.582081%0.6%22.042%22.0%22.172%22.2%-22.159722%-22.159722%22.2%19.489%19.5%25.038%25.0%
% percentage in Columbia 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 Columbia County
More Females More Males
Wisconsin
Columbia County
40%20%0%20%FM65+45-6435-4425-3436.796553%15.252186%36.796553%36.8%8.503%8.50%11.632%11.6%-17.530604%-8.291196%-17.530604%17.5%17.329%17.3%14.744%14.7%-28.294861%-22.719305%-28.294861%28.3%24.876%24.9%19.390%19.4%-46.844659%-29.514910%-46.844659%46.8%23.541%23.5%16.031%16.0%
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 Columbia County
Columbia County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$55,660.000000$61,842.000000$55,660.000000$55.7k2,5566.415%6.42%$48,853.000000$48,286.000000$48,853.000000$48.9k6,47916.261%16.3%$39,230.000000$34,771.000000$39,230.000000$39.2k13,96714.0k35.054%35.1%$33,646.000000$30,475.000000$33,646.000000$33.6k13,96314.0k35.044%35.0%$25,256.000000$22,317.000000$25,256.000000$25.3k2,8797.226%7.23%$39,087.000000$36,855.000000$39,087.000000$39.1k39,84439.8k100.000%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 Columbia County
Female Male
Wisconsin
Columbia County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-52,280.000000$-55,037.000000$-52,280.000000$52.3k$52,280.000000$7,819.000000$55,037.000000$18,141.000000$60,099.000000$60.1k1,3811,175$-42,255.000000$-40,915.000000$-42,255.000000$42.3k$42,255.000000$17,941.000000$40,915.000000$18,355.000000$60,196.000000$60.2k3,4193,060$-31,134.000000$-28,362.000000$-31,134.000000$31.1k$31,134.000000$17,310.000000$28,362.000000$14,055.000000$48,444.000000$48.4k7,2446,723$-26,348.000000$-23,872.000000$-26,348.000000$26.3k$26,348.000000$13,968.000000$23,872.000000$12,519.000000$40,316.000000$40.3k6,4077,556$-18,601.000000$-16,775.000000$-18,601.000000$18.6k$18,601.000000$12,990.000000$16,775.000000$9,472.000000$31,591.000000$31.6k1,2281,651$-31,460.000000$-30,829.000000$-31,460.000000$31.5k$31,460.000000$14,196.000000$30,829.000000$12,328.000000$45,656.000000$45.7k19,67919.7k20,16520.2k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Wisconsin and Columbia County
Columbia County
Wisconsin
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma356.756757%32.763533%56.756757%56.8%4235.135135%54.226021%35.135135%35.1%268.108108%12.203229%8.108108%8.1%60.000000%0.000000%0.0%0.807217%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Wisconsin and Columbia County
Columbia County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.709453%85.899471%86.709453%86.7%6,48581.170900%79.335494%81.170900%81.2%9,42875.950143%73.240943%75.950143%76.0%7,43462.486002%53.971506%62.486002%62.5%1,116
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Wisconsin and Columbia County
Female Male
Wisconsin
Columbia County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-5.631796%-5.697819%-5.631796%5.6%5.631796%1.336219%5.697819%1.469036%6.968015%7.0%1,3181,067-22.222222%-8.010336%-17.429079%-30.232558%30.2%22.222222%17.429079%2.936718%22.222222%22.2%9426-0.000000%-21.495327%-14.441272%-4.641233%-21.495327%21.5%0.000000%14.441272%0.000000%0.0%023-34.161491%-31.307944%-34.161491%34.2%34.161491%3.190288%31.307944%5.178771%37.351779%37.4%189110-11.073826%-22.693686%-11.073826%11.1%11.073826%18.187538%22.693686%3.979967%29.261364%29.3%10333
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Wisconsin and Columbia County
Female Male
Wisconsin
Columbia County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-21.977267%-2.745630%-28.711494%-2.079187%-24.722897%24.7%21.977267%28.711494%21.977267%22.0%4,1574,684-0.000000%-11.717867%-3.588054%0.000000%0.0%0.000000%0.472813%11.717867%0.472813%0.5%20-37.864078%-11.668633%-44.377167%-49.532710%49.5%37.864078%44.377167%4.100638%37.864078%37.9%3953-4.940711%-5.307736%-10.433533%-4.583778%-10.248447%10.2%4.940711%10.433533%4.940711%4.9%2533-7.386364%-5.365314%-13.316792%-4.610459%-12.751678%12.8%7.386364%13.316792%7.386364%7.4%2638
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 Columbia County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
18%25%32%38%45%52%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
42%48%54%59%65%71%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
2.3%6.6%11.0%15.3%19.6%24.0%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.34%0.67%1.01%1.34%1.69%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.1%1.7%2.3%2.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.5%2.2%4.0%5.7%7.4%9.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.7%10.4%14.1%17.8%21.5%25.2%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%8.8%11.4%14.0%16.6%19.3%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
10.4%14.1%17.8%21.4%25.1%28.8%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
23%31%38%45%53%60%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%3.2%5.5%7.9%10.3%12.7%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.6%7.1%10.7%14.2%17.9%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.5%2.3%3.1%3.9%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Map of Educational Attainment by Tract in Columbia County

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

Percentage of the population 25 years and older with given highest level of educational attainment
23.4%28.2%33.0%37.7%42.5%47.3%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
46.3%50.5%54.6%58.8%63.0%67.2%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
2.5%4.4%6.3%8.2%10.1%12.0%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.06%0.32%0.58%0.84%1.09%1.35%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.30%0.64%0.97%1.30%1.63%1.97%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.2%3.4%4.5%5.7%6.9%8.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.5%13.4%16.2%19.1%21.9%24.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.9%10.3%11.7%13.0%14.4%15.8%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
20.4%21.4%22.2%23.1%24.0%24.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
25.7%29.0%32.3%35.7%39.0%42.3%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%3.0%4.0%5.0%6.0%7.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%1.2%2.1%3.0%3.9%4.9%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.0%1.6%2.1%2.7%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Educational Attainment by Place in Columbia County

There are 15 places that are fully or partially contained within Columbia County (11 fully and 4 partially). This section compares all 15 of those to each other, Columbia County, and other entities that contain or substantially overlap with Columbia County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia County, selected places in Columbia County, and entities that contain Columbia County
0%5%10%Count#WyocenaFrieslandUnited States of AmericaUnited StatesWisconsin DellsRandolphCambriaDoylestownEast North CentralMidwestPortageWisconsinColumbia CountyColumbiaRioLodiFall RiverPardeevilleMadison Metro AreaMadison AreaPoynetteColumbusLake WisconsinLk WisconsinArlington14.788732%14.788732%14.8%84114.545455%14.545455%14.5%32213.020590%13.020590%13.0%27,818,38027.8M12.406816%12.406816%12.4%233312.328767%12.328767%12.3%144412.043011%12.043011%12.0%56511.458333%11.458333%11.5%22610.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.011461%9.011461%9.0%62978.637220%8.637220%8.6%336,096336k7.225680%7.225680%7.2%2,8796.580645%6.580645%6.6%5186.294780%6.294780%6.3%12395.268293%5.268293%5.3%54105.263158%5.263158%5.3%79115.241862%5.241862%5.2%21,97222.0k4.961607%4.961607%5.0%84124.879466%4.879466%4.9%168132.485943%2.485943%2.5%84142.312139%2.312139%2.3%1215
Count number of people in category
# rank of place out of 15 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia County, selected places in Columbia County, and entities that contain Columbia County
0%10%20%30%40%Count#Madison Metro AreaMadison AreaLake WisconsinLk WisconsinColumbusLodiUnited States of AmericaUnited StatesMidwestEast North CentralFall RiverWisconsinArlingtonColumbia CountyColumbiaPoynetteWisconsin DellsPardeevilleRioFrieslandPortageCambriaRandolphWyocenaDoylestown43.867317%43.867317%43.9%183,876184k36.756437%36.756437%36.8%1,242133.488237%33.488237%33.5%1,153233.009212%33.009212%33.0%645330.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.390244%28.390244%28.4%291428.373439%28.373439%28.4%1,104,0821.10M23.121387%23.121387%23.1%120522.675936%22.675936%22.7%9,03522.209096%22.209096%22.2%376618.210863%18.210863%18.2%342716.588941%16.588941%16.6%249816.516129%16.516129%16.5%128916.363636%16.363636%16.4%361015.587393%15.587393%15.6%1,0881114.838710%14.838710%14.8%691212.414384%12.414384%12.4%1451311.971831%11.971831%12.0%68147.291667%7.291667%7.3%1415
Count number of people in category
# rank of place out of 15 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia County, selected places in Columbia County, and entities that contain Columbia County
0%1%2%3%4%5%Count#Madison Metro AreaMadison AreaLake WisconsinLk WisconsinUnited States of AmericaUnited StatesColumbusMidwestEast North CentralWisconsinWisconsin DellsColumbia CountyColumbiaArlingtonLodiPardeevilleFall RiverRioPortagePoynetteWyocenaRandolphCambriaFrieslandDoylestown5.974750%5.974750%6.0%25,04425.0k4.409589%4.409589%4.4%14913.336158%3.336158%3.3%7,127,6737.13M3.194888%3.194888%3.2%11022.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.183174%2.183174%2.2%4131.744303%1.744303%1.7%6951.734104%1.734104%1.7%941.586489%1.586489%1.6%3151.399067%1.399067%1.4%2161.365854%1.365854%1.4%1471.161290%1.161290%1.2%981.117479%1.117479%1.1%7890.649734%0.649734%0.6%11100.352113%0.352113%0.4%2110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%015
Count number of people in category
# rank of place out of 15 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia County, selected places in Columbia County, and entities that contain Columbia County
Female
Male
4x2x0xFM#PortageDoylestownWyocenaRioColumbiaLk WisconsinMadison AreaColumbusWisconsinWisconsin DellsMidwestEast North CentralUnited StatesFrieslandCambriaFall RiverRandolphPoynettePardeevilleArlingtonLodi-1.000000x-1.000000x1.691613x1.691613x1.69x6.604%6.60%11.172%11.2%1-1.000000x-1.000000x1.418182x1.418182x1.42x9.615%9.62%13.636%13.6%2-1.000000x-1.000000x1.371429x1.371429x1.37x12.500%12.5%17.143%17.1%3-1.000000x-1.000000x1.363159x1.363159x1.36x5.584%5.58%7.612%7.61%4-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%-1.000000x-1.000000x1.264898x1.264898x1.26x2.188%2.19%2.768%2.77%5-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.222166x1.222166x1.22x4.404%4.40%5.383%5.38%6-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.195564x1.195564x1.20x11.301%11.3%13.511%13.5%7-1.000000x-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-1.000000x1.095238x1.095238x1.10x13.913%13.9%15.238%15.2%8-1.001693x-1.001693x1.00x1.000000x1.000000x12.054%12.1%12.033%12.0%9-1.017821x-1.017821x1.02x1.000000x1.000000x5.317%5.32%5.224%5.22%10-1.445428x-1.445428x1.45x1.000000x1.000000x14.159%14.2%9.796%9.80%11-1.455067x-1.455067x1.46x1.000000x1.000000x5.849%5.85%4.019%4.02%12-1.538249x-1.538249x1.54x1.000000x1.000000x6.339%6.34%4.121%4.12%13-4.682836x-4.682836x4.68x1.000000x1.000000x3.731%3.73%0.797%0.80%14-4.809368x-4.809368x4.81x1.000000x1.000000x9.804%9.80%2.039%2.04%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

Over-Education Sex Ratio by Place#46

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia County, selected places in Columbia County, and entities that contain Columbia County
Female
Male
10x5x0x5x10xFM#PortageRioWyocenaColumbusArlingtonColumbiaEast North CentralMidwestWisconsinUnited StatesLodiMadison AreaLk WisconsinFall RiverPoynetteWisconsin DellsPardeeville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.120%2.12%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.362%2.36%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.714%0.71%3-1.000000x-1.000000x5.794505x5.794505x5.79x0.960%0.96%5.562%5.56%4-1.000000x-1.000000x2.135458x2.135458x2.14x1.119%1.12%2.390%2.39%5-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%-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-1.000000x1.472820x1.472820x1.47x1.307%1.31%1.925%1.93%6-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.161063x1.161063x1.16x4.073%4.07%4.729%4.73%7-1.096115x-1.096115x1.10x1.000000x1.000000x1.431%1.43%1.306%1.31%8-1.129817x-1.129817x1.13x1.000000x1.000000x0.688%0.69%0.609%0.61%9-1.280502x-1.280502x1.28x1.000000x1.000000x2.452%2.45%1.915%1.91%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.717%2.72%0.000%0%11
F percentage of females in category
M percentage of males in category
# rank of place out of 11 by male-to-female sex ratio

Educational Attainment by County Subdivision in Columbia County

There are 35 county subdivisions in Columbia County. This section compares all 35 of those to each other, Columbia County, and other entities that contain or substantially overlap with Columbia County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia County, selected county subdivisions in Columbia County, and entities that contain Columbia County
0%5%10%15%20%Count#Town of ScottWyocenaFrieslandTown of Fountain PrairieFountain PrairieUnited States of AmericaUnited StatesWisconsin DellsTown of MarcellonMarcellonTown of OtsegoOtsegoCambriaDoylestownEast North CentralMidwestTown of SpringvaleSpringvalePortageWisconsinTown of CourtlandCourtlandTown of RandolphRandolphTown of LewistonLewistonTown of ColumbusColumbusTown of NewportNewportColumbia CountyColumbiaRioTown of LowvilleLowvilleLodiTown of Fort WinnebagoFort WinnebagoTown of PacificPacificTown of LeedsTown of LodiTown of ArlingtonArlingtonFall RiverPardeevilleMadison Metro AreaMadison AreaRandolphPoynetteColumbusTown of WyocenaWyocenaTown of HampdenHampdenTown of CaledoniaCaledoniaTown of DekorraDekorraTown of West PointW PtArlington23.920863%23.920863%23.9%133114.788732%14.788732%14.8%84214.545455%14.545455%14.5%32313.709677%13.709677%13.7%85413.020590%13.020590%13.0%27,818,38027.8M12.838227%12.838227%12.8%223512.737127%12.737127%12.7%94612.110092%12.110092%12.1%66712.043011%12.043011%12.0%56811.458333%11.458333%11.5%22910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.701493%9.701493%9.7%39109.011461%9.011461%9.0%629118.637220%8.637220%8.6%336,096336k8.379888%8.379888%8.4%30128.101852%8.101852%8.1%35137.861635%7.861635%7.9%75147.575758%7.575758%7.6%35157.434053%7.434053%7.4%31167.225680%7.225680%7.2%2,8796.580645%6.580645%6.6%51176.515152%6.515152%6.5%43186.294780%6.294780%6.3%123196.240000%6.240000%6.2%39206.119545%6.119545%6.1%129215.586592%5.586592%5.6%30225.433480%5.433480%5.4%136235.423729%5.423729%5.4%32245.268293%5.268293%5.3%54255.263158%5.263158%5.3%79265.241862%5.241862%5.2%21,97222.0k5.078125%5.078125%5.1%13274.961607%4.961607%5.0%84284.879466%4.879466%4.9%168294.868316%4.868316%4.9%61303.980100%3.980100%4.0%16313.555150%3.555150%3.6%39323.335218%3.335218%3.3%59332.822581%2.822581%2.8%42342.312139%2.312139%2.3%1235
Count number of people in category
# rank of county subdivision out of 35 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia County, selected county subdivisions in Columbia County, and entities that contain Columbia County
0%10%20%30%40%Count#Madison Metro AreaMadison AreaTown of LodiTown of West PointW PtColumbusLodiUnited States of AmericaUnited StatesTown of HampdenHampdenMidwestEast North CentralFall RiverWisconsinTown of CaledoniaCaledoniaTown of DekorraDekorraTown of PacificPacificArlingtonTown of LowvilleLowvilleColumbia CountyColumbiaTown of NewportNewportPoynetteTown of ArlingtonArlingtonTown of WyocenaWyocenaTown of ColumbusColumbusTown of LeedsTown of CourtlandCourtlandWisconsin DellsRandolphTown of Fort WinnebagoFort WinnebagoTown of Fountain PrairieFountain PrairieTown of MarcellonMarcellonPardeevilleRioFrieslandTown of SpringvaleSpringvalePortageCambriaTown of OtsegoOtsegoTown of LewistonLewistonTown of ScottWyocenaTown of RandolphRandolphDoylestown43.867317%43.867317%43.9%183,876184k35.597283%35.597283%35.6%891135.483871%35.483871%35.5%528233.488237%33.488237%33.5%1,153333.009212%33.009212%33.0%645430.315023%30.315023%30.3%64,767,78764.8M29.601990%29.601990%29.6%119528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.390244%28.390244%28.4%291628.373439%28.373439%28.4%1,104,0821.10M28.167730%28.167730%28.2%309724.477106%24.477106%24.5%433824.193548%24.193548%24.2%510923.121387%23.121387%23.1%1201022.878788%22.878788%22.9%1511122.675936%22.675936%22.7%9,03522.541966%22.541966%22.5%941222.209096%22.209096%22.2%3761322.033898%22.033898%22.0%1301422.027135%22.027135%22.0%2761520.995671%20.995671%21.0%971619.925512%19.925512%19.9%1071719.273743%19.273743%19.3%691818.364997%18.364997%18.4%3191918.359375%18.359375%18.4%472017.920000%17.920000%17.9%1122117.741935%17.741935%17.7%1102216.666667%16.666667%16.7%1232316.588941%16.588941%16.6%2492416.516129%16.516129%16.5%1282516.363636%16.363636%16.4%362616.169154%16.169154%16.2%652715.587393%15.587393%15.6%1,0882814.838710%14.838710%14.8%692913.394495%13.394495%13.4%733012.683438%12.683438%12.7%1213112.050360%12.050360%12.1%673211.971831%11.971831%12.0%683310.879630%10.879630%10.9%47347.291667%7.291667%7.3%1435
Count number of people in category
# rank of county subdivision out of 35 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia County, selected county subdivisions in Columbia County, and entities that contain Columbia County
0%1%2%3%4%5%Count#Madison Metro AreaMadison AreaTown of LodiTown of West PointW PtUnited States of AmericaUnited StatesColumbusMidwestEast North CentralWisconsinTown of LeedsTown of HampdenHampdenWisconsin DellsTown of WyocenaWyocenaTown of DekorraDekorraTown of CaledoniaCaledoniaTown of ScottColumbia CountyColumbiaArlingtonTown of PacificPacificTown of ArlingtonArlingtonLodiTown of ColumbusColumbusPardeevilleFall RiverTown of LowvilleLowvilleRioPortageTown of MarcellonMarcellonTown of RandolphRandolphTown of OtsegoOtsegoPoynetteTown of SpringvaleSpringvaleTown of Fountain PrairieFountain PrairieTown of NewportNewportWyocenaTown of Fort WinnebagoFort WinnebagoTown of LewistonLewistonCambriaTown of CourtlandCourtlandRandolphFrieslandDoylestown5.974750%5.974750%6.0%25,04425.0k4.394726%4.394726%4.4%11013.629032%3.629032%3.6%5423.336158%3.336158%3.3%7,127,6737.13M3.194888%3.194888%3.2%11032.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.607076%2.607076%2.6%1442.487562%2.487562%2.5%1052.360391%2.360391%2.4%4162.075020%2.075020%2.1%2672.035048%2.035048%2.0%3682.005469%2.005469%2.0%2291.798561%1.798561%1.8%10101.744303%1.744303%1.7%6951.734104%1.734104%1.7%9111.707780%1.707780%1.7%36121.694915%1.694915%1.7%10131.586489%1.586489%1.6%31141.515152%1.515152%1.5%7151.399067%1.399067%1.4%21161.365854%1.365854%1.4%14171.363636%1.363636%1.4%9181.161290%1.161290%1.2%9191.117479%1.117479%1.1%78200.948509%0.948509%0.9%7210.925926%0.925926%0.9%4220.917431%0.917431%0.9%5230.649734%0.649734%0.6%11240.497512%0.497512%0.5%2250.483871%0.483871%0.5%3260.479616%0.479616%0.5%2270.352113%0.352113%0.4%2280.320000%0.320000%0.3%2290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%035
Count number of people in category
# rank of county subdivision out of 35 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia County, selected county subdivisions in Columbia County, and entities that contain Columbia County
Female
Male
4x2x0x2xFM#RandolphLewistonFountain PrairieColumbusW PtTown of LodiWyocenaTown of LeedsSpringvaleLowvilleCaledoniaPortageOtsegoMarcellonDoylestownWyocenaRioColumbiaWisconsin DellsHampdenRandolphMadison AreaColumbusWisconsinFort WinnebagoTown of ScottMidwestEast North CentralUnited StatesFrieslandArlingtonPacificCambriaFall RiverNewportPoynettePardeevilleDekorraCourtlandArlingtonLodi-1.000000x-1.000000x3.163117x3.163117x3.16x3.828%3.83%12.108%12.1%1-1.000000x-1.000000x3.064659x3.064659x3.06x3.695%3.70%11.324%11.3%2-1.000000x-1.000000x2.802059x2.802059x2.80x7.278%7.28%20.395%20.4%3-1.000000x-1.000000x2.626263x2.626263x2.63x4.091%4.09%10.744%10.7%4-1.000000x-1.000000x2.388305x2.388305x2.39x1.651%1.65%3.942%3.94%5-1.000000x-1.000000x1.957041x1.957041x1.96x3.656%3.66%7.154%7.15%6-1.000000x-1.000000x1.907805x1.907805x1.91x3.349%3.35%6.390%6.39%7-1.000000x-1.000000x1.891304x1.891304x1.89x3.831%3.83%7.246%7.25%8-1.000000x-1.000000x1.828571x1.828571x1.83x6.771%6.77%12.381%12.4%9-1.000000x-1.000000x1.746237x1.746237x1.75x4.702%4.70%8.211%8.21%10-1.000000x-1.000000x1.693733x1.693733x1.69x2.622%2.62%4.440%4.44%11-1.000000x-1.000000x1.691613x1.691613x1.69x6.604%6.60%11.172%11.2%12-1.000000x-1.000000x1.656085x1.656085x1.66x8.984%8.98%14.879%14.9%13-1.000000x-1.000000x1.499337x1.499337x1.50x10.029%10.0%15.038%15.0%14-1.000000x-1.000000x1.418182x1.418182x1.42x9.615%9.62%13.636%13.6%15-1.000000x-1.000000x1.371429x1.371429x1.37x12.500%12.5%17.143%17.1%16-1.000000x-1.000000x1.363159x1.363159x1.36x5.584%5.58%7.612%7.61%17-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%-1.000000x-1.000000x1.297273x1.297273x1.30x11.163%11.2%14.481%14.5%18-1.000000x-1.000000x1.247899x1.247899x1.25x3.535%3.54%4.412%4.41%19-1.000000x-1.000000x1.232653x1.232653x1.23x4.636%4.64%5.714%5.71%20-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.222166x1.222166x1.22x4.404%4.40%5.383%5.38%21-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.189510x1.189510x1.19x5.654%5.65%6.725%6.73%22-1.000000x-1.000000x1.170147x1.170147x1.17x22.064%22.1%25.818%25.8%23-1.000000x-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-1.000000x1.095238x1.095238x1.10x13.913%13.9%15.238%15.2%24-1.000000x-1.000000x1.044734x1.044734x1.04x5.300%5.30%5.537%5.54%25-1.000000x-1.000000x1.030500x1.030500x1.03x6.030%6.03%6.214%6.21%26-1.001693x-1.001693x1.00x1.000000x1.000000x12.054%12.1%12.033%12.0%27-1.017821x-1.017821x1.02x1.000000x1.000000x5.317%5.32%5.224%5.22%28-1.041390x-1.041390x1.04x1.000000x1.000000x7.583%7.58%7.282%7.28%29-1.455067x-1.455067x1.46x1.000000x1.000000x5.849%5.85%4.019%4.02%30-1.538249x-1.538249x1.54x1.000000x1.000000x6.339%6.34%4.121%4.12%31-1.634942x-1.634942x1.63x1.000000x1.000000x4.197%4.20%2.567%2.57%32-1.734940x-1.734940x1.73x1.000000x1.000000x10.843%10.8%6.250%6.25%33-4.682836x-4.682836x4.68x1.000000x1.000000x3.731%3.73%0.797%0.80%34-4.809368x-4.809368x4.81x1.000000x1.000000x9.804%9.80%2.039%2.04%35
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 35 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia County, selected county subdivisions in Columbia County, and entities that contain Columbia County
Female
Male
10x5x0x5x10xFM#PortageRioMarcellonFountain PrairieWyocenaRandolphNewportWyocenaColumbusW PtCaledoniaArlingtonColumbiaEast North CentralMidwestWisconsinTown of ScottUnited StatesLodiMadison AreaTown of LodiHampdenArlingtonFall RiverPoynetteWisconsin DellsTown of LeedsColumbusOtsegoLowvilleDekorraPacificPardeevilleFort WinnebagoSpringvale-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.120%2.12%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.362%2.36%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.754%1.75%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.987%0.99%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.714%0.71%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.794%1.79%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.971%0.97%7-1.000000x-1.000000x7.678914x7.678914x7.68x0.478%0.48%3.674%3.67%8-1.000000x-1.000000x5.794505x5.794505x5.79x0.960%0.96%5.562%5.56%9-1.000000x-1.000000x3.343627x3.343627x3.34x1.651%1.65%5.519%5.52%10-1.000000x-1.000000x2.529307x2.529307x2.53x1.124%1.12%2.842%2.84%11-1.000000x-1.000000x2.135458x2.135458x2.14x1.119%1.12%2.390%2.39%12-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%-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-1.000000x1.532727x1.532727x1.53x1.423%1.42%2.182%2.18%13-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.472820x1.472820x1.47x1.307%1.31%1.925%1.93%14-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.079433x1.079433x1.08x4.224%4.22%4.560%4.56%15-1.030303x-1.030303x1.03x1.000000x1.000000x2.525%2.53%2.451%2.45%16-1.084806x-1.084806x1.08x1.000000x1.000000x1.767%1.77%1.629%1.63%17-1.096115x-1.096115x1.10x1.000000x1.000000x1.431%1.43%1.306%1.31%18-1.129817x-1.129817x1.13x1.000000x1.000000x0.688%0.69%0.609%0.61%19-1.303036x-1.303036x1.30x1.000000x1.000000x2.674%2.67%2.052%2.05%20-1.409962x-1.409962x1.41x1.000000x1.000000x3.065%3.07%2.174%2.17%21-1.466667x-1.466667x1.47x1.000000x1.000000x1.818%1.82%1.240%1.24%22-1.693359x-1.693359x1.69x1.000000x1.000000x1.172%1.17%0.692%0.69%23-2.137931x-2.137931x2.14x1.000000x1.000000x1.881%1.88%0.880%0.88%24-3.363309x-3.363309x3.36x1.000000x1.000000x3.237%3.24%0.963%0.96%25-4.777365x-4.777365x4.78x1.000000x1.000000x2.783%2.78%0.583%0.58%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.717%2.72%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.707%0.71%0.000%0%28-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.042%1.04%0.000%0%29
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 29 by male-to-female sex ratio

Educational Attainment by County in the Madison Area

There are 4 counties in the Madison Area. This section compares Columbia County to all of the counties in the Madison Area and to those entities that contain or substantially overlap with Columbia County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia County, selected other counties in the Madison Area, and entities that contain Columbia County
0%5%10%Count#United States of AmericaUnited StatesEast North CentralMidwestWisconsinGreen CountyGreenColumbia CountyColumbiaIowa CountyIowaMadison Metro AreaMadison AreaDane CountyDane13.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M8.637220%8.637220%8.6%336,096336k7.788090%7.788090%7.8%2,01417.225680%7.225680%7.2%2,87926.566661%6.566661%6.6%1,09035.241862%5.241862%5.2%21,97222.0k4.746468%4.746468%4.7%15,98916.0k4
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia County, selected other counties in the Madison Area, and entities that contain Columbia County
0%10%20%30%40%Count#Dane CountyDaneMadison Metro AreaMadison AreaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinIowa CountyIowaGreen CountyGreenColumbia CountyColumbia49.026156%49.026156%49.0%165,150165k143.867317%43.867317%43.9%183,876184k30.315023%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%1,104,0821.10M23.037532%23.037532%23.0%3,824222.687548%22.687548%22.7%5,867322.675936%22.675936%22.7%9,0354
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia County, selected other counties in the Madison Area, and entities that contain Columbia County
0%1%2%3%4%5%6%Count#Dane CountyDaneMadison Metro AreaMadison AreaUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinIowa CountyIowaGreen CountyGreenColumbia CountyColumbia6.978843%6.978843%7.0%23,50923.5k15.974750%5.974750%6.0%25,04425.0k3.336158%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%105,215105k2.012169%2.012169%2.0%33421.956690%1.956690%2.0%50631.744303%1.744303%1.7%6954
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia County, selected other counties in the Madison Area, and entities that contain Columbia County
Female
Male
1x0x1xFM#GreenIowaColumbiaMadison AreaWisconsinDaneMidwestEast North CentralUnited States-1.000000x-1.000000x1.408297x1.408297x1.41x6.491%6.49%9.141%9.14%1-1.000000x-1.000000x1.317393x1.317393x1.32x5.673%5.67%7.473%7.47%2-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%3-1.000000x-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%4-1.000000x-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%
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia County, selected other counties in the Madison Area, and entities that contain Columbia County
Female
Male
1x0x1xFM#ColumbiaEast North CentralMidwestWisconsinUnited StatesGreenDaneMadison AreaIowa-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%1-1.000000x-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-1.000000x1.519133x1.519133x1.52x1.560%1.56%2.370%2.37%2-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%3-1.000000x-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.129194x1.129194x1.13x1.891%1.89%2.135%2.14%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Educational Attainment by County in Wisconsin

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

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia County, selected other counties in Wisconsin, and entities that contain Columbia 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 CountyMarinetteGrant 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 CountyPierceMadison Metro AreaMadison AreaDane 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%2,745248.601954%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%1,359465.241862%5.241862%5.2%21,97222.0k4.746468%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia County, selected other counties in Wisconsin, and entities that contain Columbia County
0%10%20%30%40%Count#Dane CountyDaneOzaukee CountyOzaukeeMadison Metro AreaMadison AreaWaukesha 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 LacGrant 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%28,28328.3k243.867317%43.867317%43.9%183,876184k41.623436%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%6,7953121.214789%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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia County, selected other counties in Wisconsin, and entities that contain Columbia County
0%2%4%6%Count#Dane CountyDaneMadison Metro AreaMadison AreaOzaukee CountyOzaukeeLa Crosse CountyLa CrosseWaukesha CountyWaukeshaUnited States of AmericaUnited StatesDoor CountyDoorEau Claire CountyEau ClairePortage CountyPortageMilwaukee CountyMilwaukeeMidwestEast North CentralDunn CountyDunnWisconsinVilas CountyVilasSt. Croix CountySt. CroixOneida CountyOneidaWalworth CountyWalworthWood CountyWoodGrant 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%23,50923.5k15.974750%5.974750%6.0%25,04425.0k5.805973%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%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#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia County, selected other counties in Wisconsin, and entities that contain Columbia County
Female
Male
1x0x1xFM#LincolnGrantDoorWinnebagoTrempealeauPierceChippewaJacksonShawanoGreenMonroeManitowocOcontoJuneauWaupacaClarkDouglasRacineSaukIowaPolkWalworthColumbiaOutagamieOneidaVilasDunnKenoshaFond du LacDodgePortageBrownWoodMadison AreaWisconsinBarronCalumetMarathonRockDaneWausharaWaukeshaSheboyganMidwestWashingtonEast 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%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-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-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#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia County, selected other counties in Wisconsin, and entities that contain Columbia County
Female
Male
1x0x1x2xFM#PortageJuneauOneidaWinnebagoSheboyganLincolnEau ClaireFond du LacPolkClarkSaukWaupacaOzaukeeWoodManitowocShawanoVilasSt. CroixWalworthMarinetteRockBrownDunnWaukeshaDouglasBarronCalumetJeffersonGrantLa CrosseRacineColumbiaEast North CentralMidwestWisconsinKenoshaUnited StatesGreenTrempealeauMilwaukeeMonroeWausharaDoorOutagamieMarathonDanePierceMadison AreaWashingtonVernonDodgeIowaOcontoChippewaJackson-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%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-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-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 Columbia County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Columbia County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia County, selected other counties in the United States, and entities that contain Columbia 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 CountyFultonWisconsinFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexColumbia CountyColumbiaHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAlleghenyMadison Metro AreaMadison Area28.837398%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%336,096336k8.282040%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%80,37880.4k467.225680%7.225680%7.2%2,8797.173605%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%53,97454.0k505.241862%5.241862%5.2%21,97222.0k
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia County, selected other counties in the United States, and entities that contain Columbia County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaMadison Metro AreaMadison AreaNassau 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 CountyClarkColumbia CountyColumbiaWayne 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%488,594489k1443.867317%43.867317%43.9%183,876184k43.543885%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%317,635318k4522.675936%22.675936%22.7%9,03522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia County, selected other counties in the United States, and entities that contain Columbia County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraMadison Metro AreaMadison AreaNassau 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 CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoColumbia CountyColumbiaBronx 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%79,36779.4k65.974750%5.974750%6.0%25,04425.0k5.833659%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%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.744303%1.744303%1.7%6951.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia County, selected other counties in the United States, and entities that contain Columbia County
Female
Male
1x0x1xFM#ColumbiaMecklenburgPalm BeachMadison AreaWisconsinWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%-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-1.000000x1.231258x1.231258x1.23x4.707%4.71%5.796%5.80%-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#66

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia County, selected other counties in the United States, and entities that contain Columbia County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaColumbiaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauWisconsinBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisMadison AreaLos 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-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%-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-1.000000x1.400349x1.400349x1.40x4.993%4.99%6.992%6.99%-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Columbus, Lodi, Portage, Wisconsin Dells
Towns:
Arlington, Caledonia, Columbus, Courtland, Dekorra, Fort Winnebago, Fountain Prairie, Hampden, Leeds, Lewiston, Lodi, Lowville, Marcellon, Newport, Otsego, Pacific, Randolph, Scott, Springvale, West Point, Wyocena
Unincorporated Places:
Lake Wisconsin
Villages:
Arlington, Cambria, Doylestown, Fall River, Friesland, Pardeeville, Poynette, Randolph, Rio, Wyocena
ZIP Codes:
53532, 53555, 53561, 53578, 53583, 53901, 53911, 53913, 53923, 53925, 53926, 53928, 53932, 53935, 53954, 53955, 53956, 53960, 53965, 53969
Unified School Districts:
Baraboo, Cambria-Friesland, Columbus, DeForest, Fall River, Lodi, Markesan, Pardeeville, Portage, Poynette, Randolph, Rio, Sauk Prairie, Wisconsin Dells
Congressional District:
WI-6
State Senate Districts:
WI-13, WI-14, WI-27
Assembly Districts:
WI-37, WI-41, WI-42, WI-81
Neighboring Counties:
Adams, Dane, Dodge, Green Lake, Juneau, Marquette, Sauk
Nearby Counties:
Fond du Lac, Green, Iowa, Jefferson, Rock, Waushara, Winnebago