Educational Attainment in Marathon County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Marathon County
Marathon County
Wisconsin
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma236.061155%38.686675%36.061155%36.1%33,44633.4k55.086902%52.676105%55.086902%55.1%51,09251.1k8.851943%8.637220%8.851943%8.9%8,210
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 Marathon County
-5%0%+5%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-6.786625%-6.786625%-6.8%36.061%36.1%38.687%38.7%4.576642%4.576642%+4.6%55.087%55.1%52.676%52.7%2.486017%2.486017%+2.5%8.852%8.85%8.637%8.64%
% percentage with given level in Marathon 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 Marathon County
Marathon County
Wisconsin
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.524001%1.094506%0.524001%0.5%4861.673351%1.609379%1.673351%1.7%1,5525.538664%6.922399%5.538664%5.5%5,13716.203045%18.747154%16.203045%16.2%15,02815.0k12.122094%10.313236%12.122094%12.1%11,24311.2k18.848924%20.983992%18.848924%18.8%17,48217.5k36.237978%31.692113%36.237978%36.2%33,61033.6k5.013585%5.657202%5.013585%5.0%4,6502.548842%2.130908%2.548842%2.5%2,3641.289516%0.849110%1.289516%1.3%1,196
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 Marathon County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-52.124488%-52.124488%-52.1%0.524%0.52%1.095%1.09%3.974965%3.974965%+4.0%1.673%1.67%1.609%1.61%-19.989245%-19.989245%-20.0%5.539%5.54%6.922%6.92%-13.570642%-13.570642%-13.6%16.203%16.2%18.747%18.7%17.539193%17.539193%+17.5%12.122%12.1%10.313%10.3%-10.174746%-10.174746%-10.2%18.849%18.8%20.984%21.0%14.343836%14.343836%+14.3%36.238%36.2%31.692%31.7%-11.376951%-11.376951%-11.4%5.014%5.01%5.657%5.66%19.612955%19.612955%+19.6%2.549%2.55%2.131%2.13%51.866785%51.866785%+51.9%1.290%1.29%0.849%0.85%
% percentage with given level in Marathon 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 Marathon County
More Females More Males
Wisconsin
Marathon County
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-8.364389%-9.820753%-8.364389%8%37.497%37.5%34.602%34.6%2.430080%3.687318%2.430080%2%54.431%54.4%55.754%55.8%19.467848%21.929118%19.467848%19%8.073%8.07%9.644%9.64%
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 Marathon County
More Females More Males
Wisconsin
Marathon County
0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-21.963857%-21.963857%22%49.112245%0.575%0.58%0.472%0.47%75.104791%63.725126%75.104791%75%1.219%1.22%2.135%2.13%-34.415678%-26.714257%-34.415678%34%6.344%6.34%4.720%4.72%-13.319965%-10.314398%-13.319965%13%17.206%17.2%15.184%15.2%-0.492212%-14.230343%-0.492212%0%12.152%12.2%12.092%12.1%-7.404261%-1.828461%-7.404261%7%19.516%19.5%18.171%18.2%7.641824%7.484254%7.641824%8%34.915%34.9%37.583%37.6%31.639368%27.756322%31.639368%32%4.334%4.33%5.705%5.70%5.494519%11.346432%5.494519%5%2.481%2.48%2.618%2.62%5.096354%12.366663%5.096354%5%1.258%1.26%1.322%1.32%
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 Marathon County
Marathon County
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3410.248807%12.755764%10.248807%10.2%2,21221,58321.6k14.511853%17.674080%14.511853%14.5%5,58338,47238.5k20.019519%22.171538%20.019519%20.0%3,28216,39416.4k24.240751%25.037795%24.240751%24.2%3,95116,29916.3k
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 Marathon County
15%10%5%0%%ref.65+45-6435-4425-34-19.653525%-19.653525%19.7%10.249%10.2%12.756%12.8%-17.891893%-17.891893%17.9%14.512%14.5%17.674%17.7%-9.706221%-9.706221%9.7%20.020%20.0%22.172%22.2%-3.183365%-3.183365%3.2%24.241%24.2%25.038%25.0%
% percentage in Marathon 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 Marathon County
More Females More Males
Wisconsin
Marathon County
20%10%0%10%20%FM65+45-6435-4425-3427.423332%15.252186%27.423332%27.4%9.114%9.11%11.613%11.6%-18.686778%-8.291196%-18.686778%18.7%15.768%15.8%13.286%13.3%-25.824748%-22.719305%-25.824748%25.8%22.364%22.4%17.774%17.8%-29.431058%-29.514910%-29.431058%29.4%27.439%27.4%21.199%21.2%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Wisconsin and Marathon County
Marathon County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$64,007.000000$61,842.000000$64,007.000000$64.0k7,1757.736%7.74%$44,887.000000$48,286.000000$44,887.000000$44.9k15,02815.0k16.203%16.2%$34,077.000000$34,771.000000$34,077.000000$34.1k28,72528.7k30.971%31.0%$30,984.000000$30,475.000000$30,984.000000$31.0k33,61033.6k36.238%36.2%$23,431.000000$22,317.000000$23,431.000000$23.4k8,2108.852%8.85%$35,578.000000$36,855.000000$35,578.000000$35.6k92,74892.7k100.000%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 Marathon County
Female Male
Wisconsin
Marathon County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-61,039.000000$-55,037.000000$-61,039.000000$61.0k$61,039.000000$11,593.000000$55,037.000000$18,141.000000$72,632.000000$72.6k3,8053,370$-39,644.000000$-40,915.000000$-39,644.000000$39.6k$39,644.000000$14,012.000000$40,915.000000$18,355.000000$53,656.000000$53.7k8,0446,984$-27,969.000000$-28,362.000000$-27,969.000000$28.0k$27,969.000000$14,619.000000$28,362.000000$14,055.000000$42,588.000000$42.6k14,80514.8k13,92013.9k$-25,425.000000$-23,872.000000$-25,425.000000$25.4k$25,425.000000$10,487.000000$23,872.000000$12,519.000000$35,912.000000$35.9k16,32316.3k17,28717.3k$-15,880.000000$-16,775.000000$-15,880.000000$15.9k$15,880.000000$9,203.000000$16,775.000000$9,472.000000$25,083.000000$25.1k3,7744,436$-30,478.000000$-30,829.000000$-30,478.000000$30.5k$30,478.000000$10,883.000000$30,829.000000$12,328.000000$41,361.000000$41.4k46,75146.8k45,99746.0k
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 Marathon County
Marathon County
Wisconsin
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%32.763533%050.000000%54.226021%50.000000%50.0%550.000000%12.203229%50.000000%50.0%50.000000%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 Marathon County
Marathon County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.947640%85.899471%86.947640%86.9%16,17416.2k82.383610%79.335494%82.383610%82.4%20,22620.2k78.967930%73.240943%78.967930%79.0%18,39418.4k56.261920%53.971506%56.261920%56.3%2,655
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 Marathon County
Female Male
Wisconsin
Marathon County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-6.531413%-5.697819%-6.531413%6.5%6.531413%1.590700%5.697819%1.469036%8.122113%8.1%3,4642,862-0.735294%-17.429079%-0.735294%0.7%0.735294%15.180622%17.429079%2.936718%15.915916%15.9%531-22.915452%-10.647911%-14.441272%-4.641233%-33.563363%33.6%22.915452%14.441272%22.915452%22.9%393535-38.391502%-31.307944%-38.391502%38.4%38.391502%16.082771%31.307944%5.178771%54.474273%54.5%487253-20.000000%-6.332288%-22.693686%-26.332288%26.3%20.000000%22.693686%3.979967%20.000000%20.0%110168
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 Marathon County
Female Male
Wisconsin
Marathon County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-23.280733%-2.468371%-28.711494%-2.079187%-25.749104%25.7%23.280733%28.711494%23.280733%23.3%9,92911,28311.3k-18.318318%-13.299329%-11.717867%-3.588054%-31.617647%31.6%18.318318%11.717867%18.318318%18.3%6143-14.810496%-2.441700%-44.377167%-17.252196%17.3%14.810496%44.377167%4.100638%14.810496%14.8%254275-3.467562%-9.582514%-10.433533%-4.583778%-13.050076%13.1%3.467562%10.433533%3.467562%3.5%3186-16.181818%-11.090909%-13.316792%-4.610459%-27.272727%27.3%16.181818%13.316792%16.181818%16.2%89174
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 Marathon 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
5%15%24%33%43%53%

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

Percentage of the population 25 years and older with given highest level of educational attainment
39%47%54%62%69%77%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%19%29%39%49%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.4%2.7%4.1%5.4%6.9%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.7%3.4%5.2%6.9%8.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.4%4.7%7.1%9.4%11.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%7%14%20%27%34%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.5%7.1%10.6%14.2%17.8%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
0%5%10%15%21%26%

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
21%30%39%48%58%67%

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%5%10%16%21%27%

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%4.4%8.9%13.3%17.8%22.3%

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%1.6%2.3%3.1%3.9%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Marathon 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
16%23%31%38%45%53%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
39%46%51%57%62%69%

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
2.7%6.5%10.2%13.9%17.6%21.3%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.41%0.83%1.24%1.66%2.08%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.3%2.5%3.8%5.0%6.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.7%4.4%7.1%9.8%12.5%15.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.2%9.4%13.6%17.8%22.0%26.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.8%8.7%10.6%12.4%14.3%16.2%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
12.7%16.0%19.2%22.5%25.7%29.1%

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
26.2%31.0%35.7%40.5%45.2%50.0%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
1.0%2.9%4.7%6.6%8.5%10.4%

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
0.0%2.2%4.4%6.6%8.8%11.1%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.0%3.0%4.0%5.0%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Marathon County

There are 24 places that are fully or partially contained within Marathon County (18 fully and 6 partially). This section compares all 24 of those to each other, Marathon County, and other entities that contain or substantially overlap with Marathon 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 Marathon County, selected places in Marathon County, and entities that contain Marathon County
0%10%20%30%40%Count#ElderonColbyAbbotsfordDorchesterBirnamwoodUnityUnited States of AmericaUnited StatesSpencerAthensWausauEast North CentralMidwestMarshfieldWausau Metro AreaWausau AreaMarathon CountyMarathonWisconsinWestonEdgarFenwoodMarathon CityHatleySchofieldRothschildMosineeMaineBrokawStratfordKronenwetterRib MountainKnowlton48.633880%48.633880%48.6%89121.877424%21.877424%21.9%282218.947368%18.947368%18.9%270316.176471%16.176471%16.2%88413.311688%13.311688%13.3%82513.178295%13.178295%13.2%34613.020590%13.020590%13.0%27,818,38027.8M11.544228%11.544228%11.5%154711.263318%11.263318%11.3%74810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M8.937292%8.937292%8.9%1,153108.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.637220%8.637220%8.6%336,096336k8.405563%8.405563%8.4%834118.102564%8.102564%8.1%79127.954545%7.954545%8.0%7137.178969%7.178969%7.2%71146.849315%6.849315%6.8%25156.483301%6.483301%6.5%99166.110962%6.110962%6.1%228175.414127%5.414127%5.4%151184.885404%4.885404%4.9%81194.324324%4.324324%4.3%8204.315886%4.315886%4.3%47214.026983%4.026983%4.0%197223.310740%3.310740%3.3%127230.000000%0.000000%0.0%024
Count number of people in category
# rank of place out of 24 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 Marathon County, selected places in Marathon County, and entities that contain Marathon County
0%10%20%30%Count#Rib MountainKronenwetterBrokawUnited States of AmericaUnited StatesMaineMarshfieldMidwestEast North CentralWisconsinRothschildWestonWausauMosineeWausau Metro AreaWausau AreaMarathon CountyMarathonKnowltonStratfordMarathon CityAthensHatleyEdgarSpencerSchofieldAbbotsfordColbyDorchesterFenwoodElderonBirnamwoodUnity38.555787%38.555787%38.6%1,479132.849550%32.849550%32.8%1,607231.891892%31.891892%31.9%59330.315023%30.315023%30.3%64,767,78764.8M29.794934%29.794934%29.8%494428.966747%28.966747%29.0%3,737528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.722058%26.722058%26.7%997626.043136%26.043136%26.0%2,584725.519199%25.519199%25.5%6,832824.381499%24.381499%24.4%680923.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k22.222222%22.222222%22.2%221020.385675%20.385675%20.4%2221117.391304%17.391304%17.4%1721216.894977%16.894977%16.9%1111315.616438%15.616438%15.6%571414.153846%14.153846%14.2%1381512.743628%12.743628%12.7%1701612.442698%12.442698%12.4%1901711.719298%11.719298%11.7%167188.999224%8.999224%9.0%116198.272059%8.272059%8.3%45207.954545%7.954545%8.0%7217.103825%7.103825%7.1%13226.655844%6.655844%6.7%41235.038760%5.038760%5.0%1324
Count number of people in category
# rank of place out of 24 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 Marathon County, selected places in Marathon County, and entities that contain Marathon County
0%2%4%6%Count#Rib MountainMarshfieldBrokawUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinMaineMarathon CityWausauWausau Metro AreaWausau AreaMarathon CountyMarathonColbyEdgarKronenwetterMosineeWestonSchofieldAthensSpencerRothschildAbbotsfordStratfordUnityDorchesterBirnamwoodHatleyElderonKnowltonFenwood6.986444%6.986444%7.0%26816.123556%6.123556%6.1%79023.783784%3.783784%3.8%733.336158%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%105,215105k2.653800%2.653800%2.7%4442.426694%2.426694%2.4%2452.416704%2.416704%2.4%64762.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0381.939488%1.939488%1.9%2571.743590%1.743590%1.7%1781.676206%1.676206%1.7%8291.577626%1.577626%1.6%44101.350534%1.350534%1.4%134111.309758%1.309758%1.3%20121.217656%1.217656%1.2%8131.199400%1.199400%1.2%16141.018494%1.018494%1.0%38150.982456%0.982456%1.0%14160.826446%0.826446%0.8%9170.775194%0.775194%0.8%2180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%024
Count number of people in category
# rank of place out of 24 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 Marathon County, selected places in Marathon County, and entities that contain Marathon County
Female
Male
1x0x1x2x3xFM#BrokawDorchesterFenwoodUnityKronenwetterRib MountainWestonAbbotsfordEdgarSpencerWisconsinColbyWausau AreaMarathonStratfordMosineeElderonMidwestEast North CentralUnited StatesBirnamwoodMaineMarshfieldWausauMarathon CityAthensSchofieldHatleyRothschild-1.000000x-1.000000x3.235955x3.235955x3.24x2.083%2.08%6.742%6.74%1-1.000000x-1.000000x3.180762x3.180762x3.18x7.480%7.48%23.793%23.8%2-1.000000x-1.000000x2.500000x2.500000x2.50x4.545%4.55%11.364%11.4%3-1.000000x-1.000000x2.378098x2.378098x2.38x7.563%7.56%17.986%18.0%4-1.000000x-1.000000x2.193382x2.193382x2.19x2.548%2.55%5.588%5.59%5-1.000000x-1.000000x1.443812x1.443812x1.44x2.710%2.71%3.912%3.91%6-1.000000x-1.000000x1.411467x1.411467x1.41x6.986%6.99%9.861%9.86%7-1.000000x-1.000000x1.286622x1.286622x1.29x16.853%16.9%21.683%21.7%8-1.000000x-1.000000x1.267677x1.267677x1.27x7.171%7.17%9.091%9.09%9-1.000000x-1.000000x1.261571x1.261571x1.26x10.316%10.3%13.015%13.0%10-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.195557x1.195557x1.20x20.190%20.2%24.138%24.1%11-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.167315x1.167315x1.17x4.000%4.00%4.669%4.67%12-1.000000x-1.000000x1.137963x1.137963x1.14x5.049%5.05%5.746%5.75%13-1.000000x-1.000000x1.134737x1.134737x1.13x45.455%45.5%51.579%51.6%14-1.000000x-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%-1.000320x-1.000320x1.00x1.000000x1.000000x13.314%13.3%13.309%13.3%15-1.021379x-1.021379x1.02x1.000000x1.000000x4.938%4.94%4.835%4.83%16-1.030292x-1.030292x1.03x1.000000x1.000000x9.063%9.06%8.796%8.80%17-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%18-1.086037x-1.086037x1.09x1.000000x1.000000x7.475%7.47%6.883%6.88%19-1.437961x-1.437961x1.44x1.000000x1.000000x13.196%13.2%9.177%9.18%20-1.500647x-1.500647x1.50x1.000000x1.000000x7.762%7.76%5.172%5.17%21-1.748792x-1.748792x1.75x1.000000x1.000000x8.696%8.70%4.972%4.97%22-1.784110x-1.784110x1.78x1.000000x1.000000x7.540%7.54%4.226%4.23%23
F percentage of females in category
M percentage of males in category
# rank of place out of 23 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 Marathon County, selected places in Marathon County, and entities that contain Marathon County
Female
Male
10x5x0x5x10xFM#AbbotsfordSchofieldUnityColbyMarshfieldWausauRib MountainEast North CentralMidwestWisconsinUnited StatesRothschildWausau AreaMarathonWestonMaineMarathon CityEdgarAthensMosineeStratfordKronenwetterSpencerBrokaw-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.265%2.27%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.653%2.65%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.439%1.44%3-1.000000x-1.000000x2.381125x2.381125x2.38x1.220%1.22%2.904%2.90%4-1.000000x-1.000000x2.221200x2.221200x2.22x3.886%3.89%8.632%8.63%5-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%6-1.000000x-1.000000x1.915039x1.915039x1.92x4.794%4.79%9.181%9.18%7-1.000000x-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-1.000000x1.465368x1.465368x1.47x0.848%0.85%1.243%1.24%8-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.385628x1.385628x1.39x1.135%1.13%1.572%1.57%9-1.000000x-1.000000x1.379717x1.379717x1.38x2.222%2.22%3.066%3.07%10-1.000000x-1.000000x1.002024x1.002024x1.00x2.424%2.42%2.429%2.43%11-1.060010x-1.060010x1.06x1.000000x1.000000x1.793%1.79%1.691%1.69%12-1.544477x-1.544477x1.54x1.000000x1.000000x1.466%1.47%0.949%0.95%13-1.749812x-1.749812x1.75x1.000000x1.000000x2.035%2.03%1.163%1.16%14-1.787826x-1.787826x1.79x1.000000x1.000000x1.043%1.04%0.584%0.58%15-2.040666x-2.040666x2.04x1.000000x1.000000x2.229%2.23%1.092%1.09%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.201%2.20%0.000%0%17-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.292%7.29%0.000%0%18
F percentage of females in category
M percentage of males in category
# rank of place out of 18 by male-to-female sex ratio

Educational Attainment by County Subdivision in Marathon County

There are 62 county subdivisions in Marathon County. This section compares the 50 most populous of those to each other, Marathon County, and other entities that contain or substantially overlap with Marathon County. The least populous of the compared county subdivisions has a population of 547.

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 Marathon County, selected county subdivisions in Marathon County, and entities that contain Marathon County
0%10%20%30%Count#ColbyAbbotsfordTown of BernTown of HalseyHalseyTown of HoltonHoltonTown of JohnsonJohnsonTown of WienTown of BeventBeventTown of WausauWausauTown of HewittHewittUnited States of AmericaUnited StatesTown of FrankfortFrankfortTown of HamburgHamburgSpencerTown of PloverPloverMarshfieldTown of HullAthensWausauEast North CentralTown of DayMidwestTown of ReidTown of TexasTown of ClevelandClevelandTown of EmmetWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MarathonMarathonTown of Eau PleineEau PleineWisconsinWestonEdgarTown of RietbrockRietbrockTown of SpencerSpencerMarathon CityTown of ElderonElderonSchofieldRothschildTown of BerlinBerlinTown of RingleRingleTown of EastonEastonTown of KnowltonKnowltonMosineeTown of MosineeMosineeMaineTown of Rib FallsRib FallsTown of McMillanMcMillanTown of CasselCasselStratfordTown of BergenBergenKronenwetterTown of StettinStettinTown of NorrieNorrieTown of Rib MountainRib MtnTown of WestonWeston31.154684%31.154684%31.2%143130.303030%30.303030%30.3%120226.968974%26.968974%27.0%113322.885572%22.885572%22.9%92421.644295%21.644295%21.6%129519.696970%19.696970%19.7%117616.901408%16.901408%16.9%84715.357143%15.357143%15.4%129813.610315%13.610315%13.6%285913.539652%13.539652%13.5%701013.020590%13.020590%13.0%27,818,38027.8M11.805556%11.805556%11.8%511111.680000%11.680000%11.7%731211.544228%11.544228%11.5%1541311.428571%11.428571%11.4%521411.397059%11.397059%11.4%621511.368910%11.368910%11.4%491611.263318%11.263318%11.3%741710.776184%10.776184%10.8%2,8851810.719464%10.719464%10.7%3,363,7843.36M10.682493%10.682493%10.7%721910.244520%10.244520%10.2%4,641,8354.64M9.554140%9.554140%9.6%90209.464417%9.464417%9.5%129219.426628%9.426628%9.4%97229.090909%9.090909%9.1%57238.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.729140%8.729140%8.7%68248.655617%8.655617%8.7%47258.637220%8.637220%8.6%336,096336k8.405563%8.405563%8.4%834268.102564%8.102564%8.1%79277.573416%7.573416%7.6%49287.284768%7.284768%7.3%77297.178969%7.178969%7.2%71306.537530%6.537530%6.5%27316.483301%6.483301%6.5%99326.110962%6.110962%6.1%228336.074074%6.074074%6.1%41345.758313%5.758313%5.8%71355.484694%5.484694%5.5%43365.430183%5.430183%5.4%77375.414127%5.414127%5.4%151385.191257%5.191257%5.2%76394.885404%4.885404%4.9%81404.801097%4.801097%4.8%35414.464286%4.464286%4.5%65424.454685%4.454685%4.5%29434.315886%4.315886%4.3%47444.230769%4.230769%4.2%22454.026983%4.026983%4.0%197463.813318%3.813318%3.8%67473.314917%3.314917%3.3%24482.769298%2.769298%2.8%127492.320186%2.320186%2.3%1050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Marathon County, selected county subdivisions in Marathon County, and entities that contain Marathon County
0%10%20%30%40%Count#MarshfieldTown of Rib MountainRib MtnTown of StettinStettinTown of McMillanMcMillanKronenwetterTown of WestonWestonUnited States of AmericaUnited StatesMaineMidwestEast North CentralWisconsinTown of BergenBergenRothschildTown of KnowltonKnowltonWestonTown of RingleRingleWausauMosineeWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MosineeMosineeTown of BerlinBerlinTown of MarathonMarathonStratfordTown of SpencerSpencerTown of NorrieNorrieTown of RietbrockRietbrockTown of CasselCasselTown of Rib FallsRib FallsTown of EastonEastonTown of DayMarathon CityAthensTown of HewittHewittTown of ClevelandClevelandTown of PloverPloverTown of TexasTown of WienTown of WausauWausauTown of EmmetEdgarTown of ElderonElderonTown of Eau PleineEau PleineTown of HamburgHamburgSpencerSchofieldTown of ReidTown of HalseyHalseyTown of FrankfortFrankfortTown of HoltonHoltonTown of HullTown of JohnsonJohnsonTown of BernTown of BeventBeventAbbotsfordColby43.014706%43.014706%43.0%234139.795028%39.795028%39.8%1,825238.929994%38.929994%38.9%684336.950549%36.950549%37.0%538432.849550%32.849550%32.8%1,607531.554524%31.554524%31.6%136630.315023%30.315023%30.3%64,767,78764.8M29.794934%29.794934%29.8%494728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.500000%27.500000%27.5%143826.722058%26.722058%26.7%997926.657264%26.657264%26.7%3781026.043136%26.043136%26.0%2,5841125.790754%25.790754%25.8%3181225.519199%25.519199%25.5%6,8321324.381499%24.381499%24.4%6801423.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.224044%23.224044%23.2%3401521.629630%21.629630%21.6%1461621.052632%21.052632%21.1%1641720.385675%20.385675%20.4%2221819.962157%19.962157%20.0%2111919.889503%19.889503%19.9%1442019.010819%19.010819%19.0%1232118.740399%18.740399%18.7%1222218.106996%18.106996%18.1%1322317.984694%17.984694%18.0%1412417.952522%17.952522%18.0%1212517.391304%17.391304%17.4%1722616.894977%16.894977%16.9%1112716.827853%16.827853%16.8%872816.520894%16.520894%16.5%1702916.263736%16.263736%16.3%743015.847395%15.847395%15.8%2163115.492958%15.492958%15.5%773214.899713%14.899713%14.9%3123314.513557%14.513557%14.5%913414.153846%14.153846%14.2%1383513.559322%13.559322%13.6%563613.259669%13.259669%13.3%723712.960000%12.960000%13.0%813812.743628%12.743628%12.7%1703912.442698%12.442698%12.4%1904011.889597%11.889597%11.9%1124110.945274%10.945274%10.9%444210.648148%10.648148%10.6%46439.899329%9.899329%9.9%59449.744780%9.744780%9.7%42459.595960%9.595960%9.6%57468.830549%8.830549%8.8%37477.857143%7.857143%7.9%66484.040404%4.040404%4.0%16493.485839%3.485839%3.5%1650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Marathon County, selected county subdivisions in Marathon County, and entities that contain Marathon County
0%5%10%Count#MarshfieldTown of McMillanMcMillanTown of Rib MountainRib MtnTown of StettinStettinTown of WestonWestonUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinMaineMarathon CityWausauTown of KnowltonKnowltonWausau Metro AreaWausau AreaMarathon CountyMarathonEdgarTown of SpencerSpencerKronenwetterTown of WienMosineeTown of EastonEastonTown of DayTown of Eau PleineEau PleineTown of ClevelandClevelandTown of RietbrockRietbrockTown of NorrieNorrieTown of RingleRingleTown of Rib FallsRib FallsWestonSchofieldAthensSpencerTown of ReidTown of MosineeMosineeTown of HullTown of FrankfortFrankfortTown of PloverPloverTown of WausauWausauRothschildTown of ElderonElderonTown of BergenBergenTown of BerlinBerlinColbyStratfordTown of HalseyHalseyTown of HoltonHoltonTown of MarathonMarathonTown of HamburgHamburgTown of EmmetTown of BeventBeventTown of HewittHewittTown of JohnsonJohnsonTown of TexasTown of BernTown of CasselCasselAbbotsford11.948529%11.948529%11.9%65110.233516%10.233516%10.2%14927.522896%7.522896%7.5%34534.894707%4.894707%4.9%8644.176334%4.176334%4.2%1853.336158%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%105,215105k2.653800%2.653800%2.7%4462.426694%2.426694%2.4%2472.416704%2.416704%2.4%64782.397743%2.397743%2.4%3492.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0381.743590%1.743590%1.7%17101.702933%1.702933%1.7%18111.676206%1.676206%1.7%82121.609658%1.609658%1.6%8131.577626%1.577626%1.6%44141.530612%1.530612%1.5%12151.483680%1.483680%1.5%10161.473297%1.473297%1.5%8171.457726%1.457726%1.5%15181.391036%1.391036%1.4%9191.381215%1.381215%1.4%10201.378751%1.378751%1.4%17211.371742%1.371742%1.4%10221.350534%1.350534%1.4%134231.309758%1.309758%1.3%20241.217656%1.217656%1.2%8251.199400%1.199400%1.2%16261.167728%1.167728%1.2%11271.161202%1.161202%1.2%17281.160093%1.160093%1.2%5291.157407%1.157407%1.2%5301.098901%1.098901%1.1%5311.050621%1.050621%1.1%22321.018494%1.018494%1.0%38330.968523%0.968523%1.0%4340.961538%0.961538%1.0%5350.888889%0.888889%0.9%6360.871460%0.871460%0.9%4370.826446%0.826446%0.8%9380.746269%0.746269%0.7%3390.671141%0.671141%0.7%4400.641849%0.641849%0.6%5410.640000%0.640000%0.6%4420.637959%0.637959%0.6%4430.476190%0.476190%0.5%4440.386847%0.386847%0.4%2450.336700%0.336700%0.3%2460.293470%0.293470%0.3%4470.238663%0.238663%0.2%1480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Marathon County, selected county subdivisions in Marathon County, and entities that contain Marathon County
Female
Male
2x0x2x4x6x8xFM#WausauMarathonStettinNorrieFrankfortEastonPloverClevelandRib FallsMcMillanKronenwetterHamburgSpencerCasselElderonTown of ReidBergenTown of TexasHalseyTown of EmmetBeventRib MtnWestonRingleJohnsonTown of DayRietbrockEdgarEau PleineSpencerWisconsinHewittWausau AreaMarathonStratfordKnowltonTown of WienMosineeHoltonMidwestEast North CentralColbyUnited StatesMaineWestonWausauTown of BernMarathon CityTown of HullMosineeAbbotsfordAthensSchofieldRothschildBerlinMarshfield-1.000000x-1.000000x8.679625x8.679625x8.68x2.667%2.67%23.146%23.1%1-1.000000x-1.000000x3.597661x3.597661x3.60x3.631%3.63%13.064%13.1%2-1.000000x-1.000000x3.483685x3.483685x3.48x1.663%1.66%5.792%5.79%3-1.000000x-1.000000x3.218367x3.218367x3.22x1.506%1.51%4.847%4.85%4-1.000000x-1.000000x2.591199x2.591199x2.59x6.404%6.40%16.594%16.6%5-1.000000x-1.000000x2.573427x2.573427x2.57x2.989%2.99%7.692%7.69%6-1.000000x-1.000000x2.526316x2.526316x2.53x6.250%6.25%15.789%15.8%7-1.000000x-1.000000x2.450466x2.450466x2.45x5.400%5.40%13.233%13.2%8-1.000000x-1.000000x2.360000x2.360000x2.36x2.825%2.82%6.667%6.67%9-1.000000x-1.000000x2.254083x2.254083x2.25x2.707%2.71%6.101%6.10%10-1.000000x-1.000000x2.193382x2.193382x2.19x2.548%2.55%5.588%5.59%11-1.000000x-1.000000x2.167464x2.167464x2.17x7.285%7.28%15.789%15.8%12-1.000000x-1.000000x2.164269x2.164269x2.16x4.536%4.54%9.818%9.82%13-1.000000x-1.000000x2.122122x2.122122x2.12x2.830%2.83%6.006%6.01%14-1.000000x-1.000000x2.029268x2.029268x2.03x4.327%4.33%8.780%8.78%15-1.000000x-1.000000x1.879134x1.879134x1.88x6.624%6.62%12.447%12.4%16-1.000000x-1.000000x1.780684x1.780684x1.78x2.966%2.97%5.282%5.28%17-1.000000x-1.000000x1.690009x1.690009x1.69x6.918%6.92%11.692%11.7%18-1.000000x-1.000000x1.509804x1.509804x1.51x18.182%18.2%27.451%27.5%19-1.000000x-1.000000x1.497326x1.497326x1.50x7.237%7.24%10.836%10.8%20-1.000000x-1.000000x1.480769x1.480769x1.48x12.381%12.4%18.333%18.3%21-1.000000x-1.000000x1.416129x1.416129x1.42x2.289%2.29%3.241%3.24%22-1.000000x-1.000000x1.411467x1.411467x1.41x6.986%6.99%9.861%9.86%23-1.000000x-1.000000x1.409131x1.409131x1.41x4.746%4.75%6.687%6.69%24-1.000000x-1.000000x1.398107x1.398107x1.40x16.245%16.2%22.713%22.7%25-1.000000x-1.000000x1.369369x1.369369x1.37x8.882%8.88%12.162%12.2%26-1.000000x-1.000000x1.337461x1.337461x1.34x6.481%6.48%8.669%8.67%27-1.000000x-1.000000x1.267677x1.267677x1.27x7.171%7.17%9.091%9.09%28-1.000000x-1.000000x1.266763x1.266763x1.27x7.570%7.57%9.589%9.59%29-1.000000x-1.000000x1.261571x1.261571x1.26x10.316%10.3%13.015%13.0%30-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.210693x1.210693x1.21x12.261%12.3%14.844%14.8%31-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.167315x1.167315x1.17x4.000%4.00%4.669%4.67%32-1.000000x-1.000000x1.160950x1.160950x1.16x5.000%5.00%5.805%5.80%33-1.000000x-1.000000x1.159091x1.159091x1.16x15.686%15.7%18.182%18.2%34-1.000000x-1.000000x1.137963x1.137963x1.14x5.049%5.05%5.746%5.75%35-1.000000x-1.000000x1.131941x1.131941x1.13x20.217%20.2%22.884%22.9%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-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%37-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.021379x-1.021379x1.02x1.000000x1.000000x4.938%4.94%4.835%4.83%38-1.062201x-1.062201x1.06x1.000000x1.000000x2.392%2.39%2.252%2.25%39-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%40-1.084465x-1.084465x1.08x1.000000x1.000000x28.037%28.0%25.854%25.9%41-1.086037x-1.086037x1.09x1.000000x1.000000x7.475%7.47%6.883%6.88%42-1.234698x-1.234698x1.23x1.000000x1.000000x12.621%12.6%10.222%10.2%43-1.252575x-1.252575x1.25x1.000000x1.000000x5.830%5.83%4.654%4.65%44-1.255319x-1.255319x1.26x1.000000x1.000000x33.333%33.3%26.554%26.6%45-1.437961x-1.437961x1.44x1.000000x1.000000x13.196%13.2%9.177%9.18%46-1.500647x-1.500647x1.50x1.000000x1.000000x7.762%7.76%5.172%5.17%47-1.784110x-1.784110x1.78x1.000000x1.000000x7.540%7.54%4.226%4.23%48-2.064636x-2.064636x2.06x1.000000x1.000000x8.282%8.28%4.011%4.01%49-2.480658x-2.480658x2.48x1.000000x1.000000x16.296%16.3%6.569%6.57%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#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 Marathon County, selected county subdivisions in Marathon County, and entities that contain Marathon County
Female
Male
10x5x0x5x10xFM#SchofieldTown of TexasBeventEastonMarathonEau PleineColbyBergenMosineeRib MtnMcMillanWausauWestonSpencerTown of ReidEast North CentralMidwestWisconsinUnited StatesStettinRothschildWausau AreaMarathonWestonMaineTown of HullNorriePloverMarshfieldElderonMarathon CityEdgarTown of EmmetHoltonAthensKnowltonMosineeStratfordTown of DayRingleKronenwetterRietbrockClevelandRib FallsWausauSpencerJohnsonHamburgBerlinTown of WienTown of BernHalseyHewittFrankfort-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.653%2.65%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.952%0.95%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.885%2.88%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.188%1.19%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.740%2.74%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.761%1.76%8-1.000000x-1.000000x6.311321x6.311321x6.31x0.299%0.30%1.887%1.89%9-1.000000x-1.000000x2.125840x2.125840x2.13x4.798%4.80%10.199%10.2%10-1.000000x-1.000000x2.020543x2.020543x2.02x6.695%6.70%13.528%13.5%11-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%12-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%13-1.000000x-1.000000x1.843636x1.843636x1.84x1.183%1.18%2.182%2.18%14-1.000000x-1.000000x1.727848x1.727848x1.73x0.855%0.85%1.477%1.48%15-1.000000x-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-1.000000x1.477927x1.477927x1.48x3.919%3.92%5.792%5.79%16-1.000000x-1.000000x1.465368x1.465368x1.47x0.848%0.85%1.243%1.24%17-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.385628x1.385628x1.39x1.135%1.13%1.572%1.57%18-1.000000x-1.000000x1.379717x1.379717x1.38x2.222%2.22%3.066%3.07%19-1.000000x-1.000000x1.373333x1.373333x1.37x0.971%0.97%1.333%1.33%20-1.000000x-1.000000x1.270408x1.270408x1.27x1.205%1.20%1.531%1.53%21-1.000000x-1.000000x1.263158x1.263158x1.26x0.962%0.96%1.215%1.21%22-1.000000x-1.000000x1.149635x1.149635x1.15x11.111%11.1%12.774%12.8%23-1.000000x-1.000000x1.014634x1.014634x1.01x0.962%0.96%0.976%0.98%24-1.000000x-1.000000x1.002024x1.002024x1.00x2.424%2.42%2.429%2.43%25-1.060010x-1.060010x1.06x1.000000x1.000000x1.793%1.79%1.691%1.69%26-1.062500x-1.062500x1.06x1.000000x1.000000x0.658%0.66%0.619%0.62%27-1.151625x-1.151625x1.15x1.000000x1.000000x0.722%0.72%0.627%0.63%28-1.544477x-1.544477x1.54x1.000000x1.000000x1.466%1.47%0.949%0.95%29-1.640693x-1.640693x1.64x1.000000x1.000000x3.030%3.03%1.847%1.85%30-1.749812x-1.749812x1.75x1.000000x1.000000x2.035%2.03%1.163%1.16%31-1.787826x-1.787826x1.79x1.000000x1.000000x1.043%1.04%0.584%0.58%32-1.825658x-1.825658x1.83x1.000000x1.000000x1.974%1.97%1.081%1.08%33-1.998023x-1.998023x2.00x1.000000x1.000000x1.864%1.86%0.933%0.93%34-2.040666x-2.040666x2.04x1.000000x1.000000x2.229%2.23%1.092%1.09%35-3.489198x-3.489198x3.49x1.000000x1.000000x2.160%2.16%0.619%0.62%36-4.232000x-4.232000x4.23x1.000000x1.000000x2.400%2.40%0.567%0.57%37-4.237288x-4.237288x4.24x1.000000x1.000000x2.260%2.26%0.533%0.53%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.256%2.26%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.201%2.20%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.722%0.72%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.325%1.32%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.840%1.84%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.137%3.14%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.467%0.47%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.515%1.52%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.766%0.77%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.463%2.46%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Educational Attainment by County in Wisconsin

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

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 Marathon County, selected other counties in Wisconsin, and entities that contain Marathon 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 CountyJeffersonWausau Metro AreaWausau AreaMarathon 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 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%8,2108.851943%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%1,359464.746468%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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Marathon County, selected other counties in Wisconsin, and entities that contain Marathon 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 CountyRacineWausau Metro AreaWausau AreaMarathon 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%28,28328.3k241.623436%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%22,20322.2k23.939061%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#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 Marathon County, selected other counties in Wisconsin, and entities that contain Marathon 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 CountyWoodGrant CountyGrantWausau Metro AreaWausau AreaMarathon 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%705152.197352%2.197352%2.2%2,0382.197352%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#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 Marathon County, selected other counties in Wisconsin, and entities that contain Marathon County
Female
Male
1x0x1xFM#LincolnGrantDoorWinnebagoTrempealeauPierceChippewaJacksonShawanoGreenMonroeManitowocOcontoJuneauWaupacaClarkDouglasRacineSaukIowaPolkWalworthColumbiaOutagamieOneidaVilasDunnKenoshaFond du LacDodgePortageBrownWoodWisconsinBarronCalumetWausau AreaMarathonRockDaneWausharaWaukeshaSheboyganMidwestWashingtonEast 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-1.000000x1.219291x1.219291x1.22x7.799%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%-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#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 Marathon County, selected other counties in Wisconsin, and entities that contain Marathon County
Female
Male
1x0x1x2xFM#PortageJuneauOneidaWinnebagoSheboyganLincolnEau ClaireFond du LacPolkClarkSaukWaupacaOzaukeeWoodManitowocShawanoVilasSt. CroixWalworthMarinetteRockBrownDunnWaukeshaDouglasBarronCalumetJeffersonGrantLa CrosseRacineColumbiaEast North CentralMidwestWisconsinKenoshaUnited StatesGreenTrempealeauMilwaukeeMonroeWausharaDoorOutagamieWausau AreaMarathonDanePierceWashingtonVernonDodgeIowaOcontoChippewaJackson-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%-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 Marathon County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Marathon County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Marathon County, selected other counties in the United States, and entities that contain Marathon 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 CountyHonoluluWausau Metro AreaWausau AreaMarathon CountyMarathonMontgomery CountyMontgomeryFulton CountyFultonWisconsinFairfax 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%60,28460.3k408.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.836226%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%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Marathon County, selected other counties in the United States, and entities that contain Marathon 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 CountyPhiladelphiaWausau Metro AreaWausau AreaMarathon CountyMarathonClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%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%272,786273k4423.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k22.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#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 Marathon County, selected other counties in the United States, and entities that contain Marathon 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 CountyRiversideWausau Metro AreaWausau AreaMarathon CountyMarathonWayne 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%33,20433.2k472.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.178386%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#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 Marathon County, selected other counties in the United States, and entities that contain Marathon County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWisconsinWausau AreaMarathonWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-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#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 Marathon County, selected other counties in the United States, and entities that contain Marathon County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauWisconsinBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughWausau AreaMarathonHarrisMiami-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-1.000000x1.626700x1.626700x1.63x3.043%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-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-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 Cities:
Wausau, Marshfield
Cities:
Abbotsford, Colby, Marshfield, Mosinee, Schofield, Wausau
Towns:
Bergen, Berlin, Bern, Bevent, Brighton, Cassel, Cleveland, Day, Easton, Eau Pleine, Elderon, Emmet, Frankfort, Franzen, Green Valley, Guenther, Halsey, Hamburg, Harrison, Hewitt, Holton, Hull, Johnson, Knowlton, Marathon, McMillan, Mosinee, Norrie, Plover, Reid, Rib Falls, Rib Mountain, Rietbrock, Ringle, Spencer, Stettin, Texas, Wausau, Weston, Wien
Unincorporated Places:
Knowlton, Rib Mountain
Villages:
Athens, Birnamwood, Brokaw, Dorchester, Edgar, Elderon, Fenwood, Hatley, Kronenwetter, Maine, Marathon City, Rothschild, Spencer, Stratford, Unity, Weston
ZIP Codes:
54401, 54403, 54405, 54408, 54409, 54411, 54412, 54414, 54417, 54421, 54425, 54426, 54427, 54440, 54443, 54448, 54449, 54451, 54452, 54454, 54455, 54471, 54473, 54474, 54476, 54479, 54480, 54484, 54488, 54499
Unified School Districts:
Abbotsford, Antigo, Athens, Auburndale, Colby, D.C. Everest, Edgar, Marathon, Marshfield, Medford, Merrill, Mosinee, Rosholt, Spencer, Stratford, Wausau, Wittenberg-Birnamwood
Congressional District:
WI-7
State Senate Districts:
WI-12, WI-23, WI-29
Assembly Districts:
WI-35, WI-69, WI-85, WI-86, WI-87
Neighboring Counties:
Clark, Langlade, Lincoln, Portage, Shawano, Taylor, Waupaca, Wood
Nearby Counties:
Oneida, Price, Waushara