Educational Attainment in Monroe County, Wisconsin (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wisconsin and Monroe County
Monroe County
Wisconsin
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma228.099336%38.686675%28.099336%28.1%8,58862.107777%52.676105%62.107777%62.1%18,98219.0k9.792887%8.637220%9.792887%9.8%2,993
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 Monroe County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-27.366888%-27.366888%-27.4%28.099%28.1%38.687%38.7%17.905029%17.905029%+17.9%62.108%62.1%52.676%52.7%13.380077%13.380077%+13.4%9.793%9.79%8.637%8.64%
% percentage with given level in Monroe 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 Monroe County
Monroe County
Wisconsin
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.418807%1.094506%0.418807%0.4%1281.037202%1.609379%1.037202%1.0%3173.615483%6.922399%3.615483%3.6%1,10513.107352%18.747154%13.107352%13.1%4,0069.920492%10.313236%9.920492%9.9%3,03223.309230%20.983992%23.309230%23.3%7,12438.798547%31.692113%38.798547%38.8%11,85811.9k5.873115%5.657202%5.873115%5.9%1,7953.199948%2.130908%3.199948%3.2%9780.719825%0.849110%0.719825%0.7%220
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 Monroe County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-61.735530%-61.735530%-61.7%0.419%0.42%1.095%1.09%-35.552675%-35.552675%-35.6%1.037%1.04%1.609%1.61%-47.771248%-47.771248%-47.8%3.615%3.62%6.922%6.92%-30.083510%-30.083510%-30.1%13.107%13.1%18.747%18.7%-3.808153%-3.808153%-3.8%9.920%9.92%10.313%10.3%11.081010%11.081010%+11.1%23.309%23.3%20.984%21.0%22.423351%22.423351%+22.4%38.799%38.8%31.692%31.7%3.816589%3.816589%+3.8%5.873%5.87%5.657%5.66%50.168269%50.168269%+50.2%3.200%3.20%2.131%2.13%-15.225961%-15.225961%-15.2%0.720%0.72%0.849%0.85%
% percentage with given level in Monroe 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 Monroe County
More Females More Males
Wisconsin
Monroe County
20%0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-20.936092%-9.820753%-20.936092%21%30.772%30.8%25.445%25.4%3.315756%3.687318%3.315756%3%61.091%61.1%63.117%63.1%40.578003%21.929118%40.578003%41%8.136%8.14%11.438%11.4%
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 Monroe County
More Females More Males
Wisconsin
Monroe County
0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-3.899563%-3.899563%4%49.112245%0.427%0.43%0.411%0.41%79.271318%63.725126%79.271318%79%0.742%0.74%1.330%1.33%-40.677893%-26.714257%-40.677893%41%4.229%4.23%3.006%3.01%-26.829681%-10.314398%-26.829681%27%14.664%14.7%11.562%11.6%-17.234852%-14.230343%-17.234852%17%10.711%10.7%9.136%9.14%-9.065096%-1.828461%-9.065096%9%24.324%24.3%22.302%22.3%11.007819%7.484254%11.007819%11%36.768%36.8%40.815%40.8%37.100321%27.756322%37.100321%37%4.951%4.95%6.788%6.79%54.932306%11.346432%54.932306%55%2.509%2.51%3.887%3.89%12.799643%12.366663%12.799643%13%0.676%0.68%0.763%0.76%
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 Monroe County
Monroe County
Wisconsin
0%5%10%15%20%25%B.X.Total65+45-6435-4425-347.716224%12.755764%7.716224%7.7%5467,07612.051605%17.674080%12.051605%12.1%1,53212,71212.7k15.986918%22.171538%15.986918%16.0%8315,19819.670074%25.037795%19.670074%19.7%1,0975,577
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 Monroe County
30%20%10%0%%ref.65+45-6435-4425-34-39.507946%-39.507946%39.5%7.716%7.72%12.756%12.8%-31.811984%-31.811984%31.8%12.052%12.1%17.674%17.7%-27.894410%-27.894410%27.9%15.987%16.0%22.172%22.2%-21.438476%-21.438476%21.4%19.670%19.7%25.038%25.0%
% percentage in Monroe 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 Monroe County
More Females More Males
Wisconsin
Monroe County
40%20%0%FM65+45-6435-4425-34-6.332306%-6.332306%6.3%15.252186%7.939%7.94%7.466%7.47%-29.719848%-8.291196%-29.719848%29.7%13.676%13.7%10.543%10.5%-7.682074%-22.719305%-7.682074%7.7%16.588%16.6%15.405%15.4%-57.391999%-29.514910%-57.391999%57.4%24.013%24.0%15.257%15.3%
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 Monroe County
Monroe County
Wisconsin
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$53,355.000000$61,842.000000$53,355.000000$53.4k1,5505.071%5.07%$44,295.000000$48,286.000000$44,295.000000$44.3k4,00613.107%13.1%$34,055.000000$34,771.000000$34,055.000000$34.1k10,15610.2k33.230%33.2%$30,785.000000$30,475.000000$30,785.000000$30.8k11,85811.9k38.799%38.8%$23,443.000000$22,317.000000$23,443.000000$23.4k2,9939.793%9.79%$34,310.000000$36,855.000000$34,310.000000$34.3k30,56330.6k100.000%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 Monroe County
Female Male
Wisconsin
Monroe County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-51,471.000000$-55,037.000000$-51,471.000000$51.5k$51,471.000000$9,779.000000$55,037.000000$18,141.000000$61,250.000000$61.3k822728$-39,531.000000$-40,915.000000$-39,531.000000$39.5k$39,531.000000$11,289.000000$40,915.000000$18,355.000000$50,820.000000$50.8k2,2331,773$-26,465.000000$-28,362.000000$-26,465.000000$26.5k$26,465.000000$15,057.000000$28,362.000000$14,055.000000$41,522.000000$41.5k5,3354,821$-25,621.000000$-23,872.000000$-25,621.000000$25.6k$25,621.000000$10,464.000000$23,872.000000$12,519.000000$36,085.000000$36.1k5,5996,259$-16,232.000000$-16,775.000000$-16,232.000000$16.2k$16,232.000000$10,729.000000$16,775.000000$9,472.000000$26,961.000000$27.0k1,2391,754$-28,358.000000$-30,829.000000$-28,358.000000$28.4k$28,358.000000$11,114.000000$30,829.000000$12,328.000000$39,472.000000$39.5k15,22815.2k15,33515.3k
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 Monroe County
Monroe County
Wisconsin
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma342.481203%32.763533%42.481203%42.5%11338.721805%54.226021%38.721805%38.7%10317.293233%12.203229%17.293233%17.3%461.503759%0.807217%1.503759%1.5%4
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 Monroe County
Monroe County
Wisconsin
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.623582%85.899471%82.623582%82.6%3,86176.285748%79.335494%76.285748%76.3%6,48276.360158%73.240943%76.360158%76.4%6,38654.759468%53.971506%54.759468%54.8%1,070
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 Monroe County
Female Male
Wisconsin
Monroe County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-7.468124%-5.697819%-7.468124%7.5%7.468124%3.278373%5.697819%1.469036%10.746496%10.7%1,5491,066-9.677419%-3.447581%-17.429079%-13.125000%13.1%9.677419%17.429079%2.936718%9.677419%9.7%2421-0.000000%-21.505376%-14.441272%-4.641233%-21.505376%21.5%0.000000%14.441272%0.000000%0.0%040-22.752809%-31.307944%-22.752809%22.8%22.752809%21.984033%31.307944%5.178771%44.736842%44.7%17081-17.317073%-22.693686%-17.317073%17.3%17.317073%14.572691%22.693686%3.979967%31.889764%31.9%16271
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 Monroe County
Female Male
Wisconsin
Monroe County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-16.692105%-3.071101%-28.711494%-2.079187%-19.763206%19.8%16.692105%28.711494%16.692105%16.7%2,4062,821-8.064516%-7.560484%-11.717867%-3.588054%-15.625000%15.6%8.064516%11.717867%8.064516%8.1%2025-49.462366%-44.377167%-49.462366%49.5%49.462366%26.147391%44.377167%4.100638%75.609756%75.6%3192-1.578947%-26.791839%-10.433533%-4.583778%-28.370787%28.4%1.578947%10.433533%1.578947%1.6%6101-7.677165%-7.200883%-13.316792%-4.610459%-14.878049%14.9%7.677165%13.316792%7.677165%7.7%3961
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 Monroe 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
9%16%23%29%36%43%

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
50.5%54.6%58.6%62.7%66.7%70.8%

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%8%14%19%25%31%

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%0.43%0.85%1.28%1.71%2.14%

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%0.9%1.9%2.8%3.7%4.7%

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
3.1%6.3%9.6%12.8%16.0%19.2%

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
4.5%6.8%9.1%11.4%13.7%16.0%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
12.8%15.9%18.9%22.0%25.1%28.2%

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
29.4%33.8%38.2%42.5%46.8%51.2%

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
1.6%4.4%7.1%9.8%12.5%15.3%

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%8.7%13.1%17.4%21.8%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%1.9%2.9%3.9%4.9%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Monroe 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
20.1%23.5%26.9%30.3%33.8%37.2%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
54.2%57.0%59.8%62.5%65.3%68.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.1%6.4%8.7%10.9%13.2%15.5%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.23%0.34%0.44%0.54%0.64%0.75%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.34%0.63%0.92%1.21%1.51%1.80%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.1%2.0%2.8%3.6%4.4%5.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.0%11.4%13.7%16.0%18.4%20.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.0%8.0%8.9%9.9%10.8%11.8%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
18.7%20.6%22.4%24.2%26.1%27.9%

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
34.0%35.6%37.1%38.7%40.2%41.8%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
3.2%4.4%5.5%6.7%7.8%9.0%

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
0.8%2.2%3.6%5.0%6.4%7.8%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.42%0.84%1.26%1.68%2.11%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Monroe County

There are 14 places that are fully or partially contained within Monroe County (12 fully and 2 partially). This section compares all 14 of those to each other, Monroe County, and other entities that contain or substantially overlap with Monroe 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 Monroe County, selected places in Monroe County, and entities that contain Monroe County
0%10%20%30%40%Count#CataractNorwalkOntarioMelvinaUnited States of AmericaUnited StatesWyevilleKendallEast North CentralMidwestCashtonWarrensMonroe CountyMonroeSpartaWisconsinOakdaleTomahRocklandWiltonTunnel City40.875912%40.875912%40.9%56130.769231%30.769231%30.8%108217.105263%17.105263%17.1%52316.216216%16.216216%16.2%6413.020590%13.020590%13.0%27,818,38027.8M12.790698%12.790698%12.8%11511.141304%11.141304%11.1%41610.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.164425%10.164425%10.2%6879.966777%9.966777%10.0%3089.792887%9.792887%9.8%2,9939.182043%9.182043%9.2%63298.637220%8.637220%8.6%336,096336k8.333333%8.333333%8.3%16107.898449%7.898449%7.9%504116.127451%6.127451%6.1%25125.610561%5.610561%5.6%17134.807692%4.807692%4.8%514
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinMelvinaTomahSpartaMonroe CountyMonroeWarrensOakdaleWiltonCashtonWyevilleKendallRocklandCataractOntarioTunnel CityNorwalk30.315023%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%1,104,0821.10M21.621622%21.621622%21.6%8119.761793%19.761793%19.8%1,261218.436728%18.436728%18.4%1,269318.178844%18.178844%18.2%5,55616.611296%16.611296%16.6%50413.541667%13.541667%13.5%26513.531353%13.531353%13.5%41613.452915%13.452915%13.5%90712.790698%12.790698%12.8%11810.326087%10.326087%10.3%3899.558824%9.558824%9.6%39109.489051%9.489051%9.5%13118.552632%8.552632%8.6%26127.692308%7.692308%7.7%8134.843305%4.843305%4.8%1714
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
0%1%2%3%4%Count#WyevilleUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinWarrensMonroe CountyMonroeSpartaWiltonTomahCashtonOntarioNorwalkRocklandKendallOakdaleCataractTunnel CityMelvina4.651163%4.651163%4.7%413.336158%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%105,215105k2.325581%2.325581%2.3%721.456009%1.456009%1.5%4451.322098%1.322098%1.3%9131.320132%1.320132%1.3%441.316408%1.316408%1.3%8451.046338%1.046338%1.0%760.986842%0.986842%1.0%370.569801%0.569801%0.6%280.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%014
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
Female
Male
2x1x0x1x2xFM#WyevilleSpartaWiltonTomahCashtonMonroeMelvinaNorwalkWisconsinKendallMidwestEast North CentralOntarioUnited StatesOakdaleRocklandTunnel CityWarrensCataract-1.000000x-1.000000x2.318841x2.318841x2.32x7.500%7.50%17.391%17.4%1-1.000000x-1.000000x2.074582x2.074582x2.07x5.976%5.98%12.398%12.4%2-1.000000x-1.000000x1.821272x1.821272x1.82x3.974%3.97%7.237%7.24%3-1.000000x-1.000000x1.642219x1.642219x1.64x5.919%5.92%9.720%9.72%4-1.000000x-1.000000x1.457944x1.457944x1.46x8.333%8.33%12.150%12.1%5-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%-1.000000x-1.000000x1.312500x1.312500x1.31x14.286%14.3%18.750%18.8%6-1.000000x-1.000000x1.246753x1.246753x1.25x27.160%27.2%33.862%33.9%7-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.183343x1.183343x1.18x10.215%10.2%12.088%12.1%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-1.000000x1.116883x1.116883x1.12x16.279%16.3%18.182%18.2%9-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.064516x1.064516x1.06x8.081%8.08%8.602%8.60%10-1.018239x-1.018239x1.02x1.000000x1.000000x6.186%6.19%6.075%6.07%11-1.285714x-1.285714x1.29x1.000000x1.000000x5.357%5.36%4.167%4.17%12-1.470395x-1.470395x1.47x1.000000x1.000000x11.842%11.8%8.054%8.05%13-2.205638x-2.205638x2.21x1.000000x1.000000x56.716%56.7%25.714%25.7%14
F percentage of females in category
M percentage of males in category
# rank of place out of 14 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 Monroe County, selected places in Monroe County, and entities that contain Monroe County
Female
Male
10x5x0x5x10xFM#CashtonWyevilleTomahSpartaEast North CentralMidwestWisconsinUnited StatesMonroeWarrensWiltonNorwalkOntario-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.181%2.18%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.696%8.70%2-1.000000x-1.000000x2.593440x2.593440x2.59x0.719%0.72%1.866%1.87%3-1.000000x-1.000000x2.039843x2.039843x2.04x0.870%0.87%1.775%1.78%4-1.000000x-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-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%-1.000000x-1.000000x1.360179x1.360179x1.36x1.974%1.97%2.685%2.68%5-1.006623x-1.006623x1.01x1.000000x1.000000x1.325%1.32%1.316%1.32%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.235%1.23%0.000%0%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.744%1.74%0.000%0%8
F percentage of females in category
M percentage of males in category
# rank of place out of 8 by male-to-female sex ratio

Educational Attainment by County Subdivision in Monroe County

There are 36 county subdivisions in Monroe County. This section compares all 36 of those to each other, Monroe County, and other entities that contain or substantially overlap with Monroe 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 Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
0%10%20%30%Count#NorwalkTown of WiltonWiltonTown of CliftonCliftonTown of JeffersonJeffersonTown of SheldonSheldonTown of Little FallsLittle FallsMelvinaTown of RidgevilleRidgevilleUnited States of AmericaUnited StatesWyevilleTown of OakdaleOakdaleTown of WellingtonWellingtonTown of ByronTown of ScottTown of AngeloAngeloKendallEast North CentralTown of LafayetteLafayetteMidwestCashtonWarrensMonroe CountyMonroeSpartaWisconsinTown of LeonOakdaleTown of LincolnLincolnTomahTown of GrantTown of GlendaleGlendaleTown of PortlandPortlandTown of La GrangeLa GrangeTown of SpartaSpartaWiltonTown of TomahTown of WellsTown of New LymeNew LymeTown of GreenfieldGreenfieldTown of AdrianAdrian30.769231%30.769231%30.8%108128.222997%28.222997%28.2%162221.574344%21.574344%21.6%74320.173536%20.173536%20.2%93418.351064%18.351064%18.4%69518.050847%18.050847%18.1%213616.216216%16.216216%16.2%6714.457831%14.457831%14.5%48813.020590%13.020590%13.0%27,818,38027.8M12.790698%12.790698%12.8%11912.574850%12.574850%12.6%631012.561576%12.561576%12.6%511112.322275%12.322275%12.3%1041211.764706%11.764706%11.8%121311.517165%11.517165%11.5%1041411.141304%11.141304%11.1%411510.719464%10.719464%10.7%3,363,7843.36M10.256410%10.256410%10.3%241610.244520%10.244520%10.2%4,641,8354.64M10.164425%10.164425%10.2%68179.966777%9.966777%10.0%30189.792887%9.792887%9.8%2,9939.182043%9.182043%9.2%632198.637220%8.637220%8.6%336,096336k8.600583%8.600583%8.6%59208.333333%8.333333%8.3%16218.066971%8.066971%8.1%53227.898449%7.898449%7.9%504237.784431%7.784431%7.8%26247.775378%7.775378%7.8%36256.932773%6.932773%6.9%33266.844380%6.844380%6.8%95276.831729%6.831729%6.8%149285.610561%5.610561%5.6%17294.487805%4.487805%4.5%46304.076087%4.076087%4.1%15313.200000%3.200000%3.2%4322.722323%2.722323%2.7%15332.489627%2.489627%2.5%1234
Count number of people in category
# rank of county subdivision out of 34 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 Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
0%10%20%30%Count#Town of New LymeNew LymeUnited States of AmericaUnited StatesMidwestTown of SpartaSpartaEast North CentralWisconsinTown of AdrianAdrianTown of TomahTown of ScottTown of GreenfieldGreenfieldTown of GrantMelvinaTown of LafayetteLafayetteTomahTown of WellsSpartaMonroe CountyMonroeTown of La GrangeLa GrangeTown of LeonWarrensTown of OakdaleOakdaleTown of PortlandPortlandTown of Little FallsLittle FallsTown of LincolnLincolnTown of SheldonSheldonTown of AngeloAngeloTown of RidgevilleRidgevilleOakdaleWiltonCashtonTown of CliftonCliftonWyevilleTown of WellingtonWellingtonTown of GlendaleGlendaleTown of ByronKendallTown of JeffersonJeffersonTown of WiltonWiltonNorwalk32.000000%32.000000%32.0%40130.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.748281%28.748281%28.7%627228.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M24.688797%24.688797%24.7%119324.487805%24.487805%24.5%251423.529412%23.529412%23.5%24522.504537%22.504537%22.5%124621.856287%21.856287%21.9%73721.621622%21.621622%21.6%8820.940171%20.940171%20.9%49919.761793%19.761793%19.8%1,2611019.293478%19.293478%19.3%711118.436728%18.436728%18.4%1,2691218.178844%18.178844%18.2%5,55617.579251%17.579251%17.6%2441317.055394%17.055394%17.1%1171416.611296%16.611296%16.6%501515.968064%15.968064%16.0%801615.966387%15.966387%16.0%761715.932203%15.932203%15.9%1881815.068493%15.068493%15.1%991914.893617%14.893617%14.9%562014.617940%14.617940%14.6%1322113.855422%13.855422%13.9%462213.541667%13.541667%13.5%262313.531353%13.531353%13.5%412413.452915%13.452915%13.5%902513.119534%13.119534%13.1%452612.790698%12.790698%12.8%112711.822660%11.822660%11.8%482811.663067%11.663067%11.7%542911.137441%11.137441%11.1%943010.326087%10.326087%10.3%38319.978308%9.978308%10.0%46327.317073%7.317073%7.3%42334.843305%4.843305%4.8%1734
Count number of people in category
# rank of county subdivision out of 34 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 Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
0%1%2%3%4%Count#WyevilleTown of AdrianAdrianTown of LafayetteLafayetteUnited States of AmericaUnited StatesTown of GrantTown of CliftonCliftonMidwestEast North CentralTown of SpartaSpartaWisconsinWarrensTown of TomahTown of ScottTown of SheldonSheldonTown of New LymeNew LymeTown of La GrangeLa GrangeTown of AngeloAngeloMonroe CountyMonroeTown of GreenfieldGreenfieldTown of Little FallsLittle FallsTown of WellsSpartaWiltonTomahTown of RidgevilleRidgevilleCashtonTown of LeonTown of ByronTown of JeffersonJeffersonTown of WiltonWiltonNorwalkTown of WellingtonWellingtonTown of PortlandPortlandTown of OakdaleOakdaleTown of LincolnLincolnTown of GlendaleGlendaleKendallOakdaleMelvina4.651163%4.651163%4.7%414.356846%4.356846%4.4%2123.846154%3.846154%3.8%933.336158%3.336158%3.3%7,127,6737.13M3.293413%3.293413%3.3%1143.206997%3.206997%3.2%1152.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.751032%2.751032%2.8%6062.703886%2.703886%2.7%105,215105k2.325581%2.325581%2.3%772.146341%2.146341%2.1%2281.960784%1.960784%2.0%291.861702%1.861702%1.9%7101.600000%1.600000%1.6%2111.585014%1.585014%1.6%22121.550388%1.550388%1.6%14131.456009%1.456009%1.5%4451.451906%1.451906%1.5%8141.440678%1.440678%1.4%17151.358696%1.358696%1.4%5161.322098%1.322098%1.3%91171.320132%1.320132%1.3%4181.316408%1.316408%1.3%84191.204819%1.204819%1.2%4201.046338%1.046338%1.0%7211.020408%1.020408%1.0%7220.947867%0.947867%0.9%8230.867679%0.867679%0.9%4240.696864%0.696864%0.7%4250.569801%0.569801%0.6%2260.492611%0.492611%0.5%2270.420168%0.420168%0.4%2280.399202%0.399202%0.4%2290.304414%0.304414%0.3%2300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%034
Count number of people in category
# rank of county subdivision out of 34 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 Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
Female
Male
0x5x10xFM#New LymeTown of ScottGreenfieldWyevilleSpartaOakdaleAngeloTown of GrantTown of WellsTown of LeonWiltonRidgevilleTomahCliftonWellingtonCashtonSheldonMonroeMelvinaNorwalkWisconsinKendallLa GrangeJeffersonMidwestEast North CentralLincolnUnited StatesLittle FallsOakdalePortlandWiltonAdrianSpartaGlendaleTown of ByronWarrensLafayetteTown of Tomah-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.250%6.25%1-1.000000x-1.000000x3.793103x3.793103x3.79x4.545%4.55%17.241%17.2%2-1.000000x-1.000000x2.321569x2.321569x2.32x1.689%1.69%3.922%3.92%3-1.000000x-1.000000x2.318841x2.318841x2.32x7.500%7.50%17.391%17.4%4-1.000000x-1.000000x2.074582x2.074582x2.07x5.976%5.98%12.398%12.4%5-1.000000x-1.000000x2.041245x2.041245x2.04x8.197%8.20%16.732%16.7%6-1.000000x-1.000000x2.026588x2.026588x2.03x7.534%7.53%15.269%15.3%7-1.000000x-1.000000x2.005487x2.005487x2.01x5.233%5.23%10.494%10.5%8-1.000000x-1.000000x1.978378x1.978378x1.98x2.732%2.73%5.405%5.41%9-1.000000x-1.000000x1.918204x1.918204x1.92x5.949%5.95%11.411%11.4%10-1.000000x-1.000000x1.821272x1.821272x1.82x3.974%3.97%7.237%7.24%11-1.000000x-1.000000x1.758789x1.758789x1.76x10.429%10.4%18.343%18.3%12-1.000000x-1.000000x1.642219x1.642219x1.64x5.919%5.92%9.720%9.72%13-1.000000x-1.000000x1.635350x1.635350x1.64x16.477%16.5%26.946%26.9%14-1.000000x-1.000000x1.550000x1.550000x1.55x9.852%9.85%15.271%15.3%15-1.000000x-1.000000x1.457944x1.457944x1.46x8.333%8.33%12.150%12.1%16-1.000000x-1.000000x1.408973x1.408973x1.41x15.263%15.3%21.505%21.5%17-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%-1.000000x-1.000000x1.312500x1.312500x1.31x14.286%14.3%18.750%18.8%18-1.000000x-1.000000x1.246753x1.246753x1.25x27.160%27.2%33.862%33.9%19-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.183343x1.183343x1.18x10.215%10.2%12.088%12.1%20-1.000000x-1.000000x1.181776x1.181776x1.18x6.301%6.30%7.447%7.45%21-1.000000x-1.000000x1.168163x1.168163x1.17x18.519%18.5%21.633%21.6%22-1.000000x-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-1.000000x1.123415x1.123415x1.12x7.599%7.60%8.537%8.54%23-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.071588x1.071588x1.07x17.428%17.4%18.676%18.7%24-1.000000x-1.000000x1.064516x1.064516x1.06x8.081%8.08%8.602%8.60%25-1.000000x-1.000000x1.036048x1.036048x1.04x6.809%6.81%7.054%7.05%26-1.059467x-1.059467x1.06x1.000000x1.000000x29.000%29.0%27.372%27.4%27-1.077586x-1.077586x1.08x1.000000x1.000000x2.586%2.59%2.400%2.40%28-1.162044x-1.162044x1.16x1.000000x1.000000x7.337%7.34%6.314%6.31%29-1.223291x-1.223291x1.22x1.000000x1.000000x8.547%8.55%6.987%6.99%30-1.385139x-1.385139x1.39x1.000000x1.000000x14.467%14.5%10.444%10.4%31-1.470395x-1.470395x1.47x1.000000x1.000000x11.842%11.8%8.054%8.05%32-2.154378x-2.154378x2.15x1.000000x1.000000x13.710%13.7%6.364%6.36%33-2.427838x-2.427838x2.43x1.000000x1.000000x6.159%6.16%2.537%2.54%34
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 34 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 Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
Female
Male
10x5x0x5x10xFM#Town of ByronLincolnCashtonOakdaleJeffersonWellingtonNew LymeWyevilleTown of ScottTown of TomahTown of GrantTomahAngeloSpartaSpartaEast North CentralMidwestWisconsinUnited StatesMonroeTown of LeonWarrensWiltonRidgevilleAdrianLittle FallsCliftonSheldonLafayetteLa GrangeWiltonGreenfieldPortlandNorwalkTown of Wells-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.778%1.78%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.610%0.61%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.181%2.18%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.778%0.78%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.633%1.63%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.985%0.99%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.125%3.13%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.696%8.70%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.448%3.45%9-1.000000x-1.000000x3.112051x3.112051x3.11x1.087%1.09%3.383%3.38%10-1.000000x-1.000000x2.831276x2.831276x2.83x1.744%1.74%4.938%4.94%11-1.000000x-1.000000x2.593440x2.593440x2.59x0.719%0.72%1.866%1.87%12-1.000000x-1.000000x2.354839x2.354839x2.35x0.913%0.91%2.151%2.15%13-1.000000x-1.000000x2.039843x2.039843x2.04x0.870%0.87%1.775%1.78%14-1.000000x-1.000000x1.649025x1.649025x1.65x2.083%2.08%3.435%3.44%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-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%-1.000000x-1.000000x1.413413x1.413413x1.41x0.850%0.85%1.201%1.20%16-1.000000x-1.000000x1.360179x1.360179x1.36x1.974%1.97%2.685%2.68%17-1.006623x-1.006623x1.01x1.000000x1.000000x1.325%1.32%1.316%1.32%18-1.036810x-1.036810x1.04x1.000000x1.000000x1.227%1.23%1.183%1.18%19-1.185345x-1.185345x1.19x1.000000x1.000000x4.741%4.74%4.000%4.00%20-1.423737x-1.423737x1.42x1.000000x1.000000x1.692%1.69%1.188%1.19%21-1.660511x-1.660511x1.66x1.000000x1.000000x3.977%3.98%2.395%2.40%22-2.447368x-2.447368x2.45x1.000000x1.000000x2.632%2.63%1.075%1.08%23-3.104839x-3.104839x3.10x1.000000x1.000000x5.645%5.65%1.818%1.82%24-5.708676x-5.708676x5.71x1.000000x1.000000x2.603%2.60%0.456%0.46%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.333%1.33%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.703%2.70%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.851%0.85%0.000%0%28-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.235%1.23%0.000%0%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.732%2.73%0.000%0%30
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 30 by male-to-female sex ratio

Educational Attainment by County in Wisconsin

There are 72 counties in Wisconsin. This section compares Monroe County to the 50 most populous counties in Wisconsin and to those entities that contain or substantially overlap with Monroe 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 Monroe County, selected other counties in Wisconsin, and entities that contain Monroe 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 CountyPierceDane CountyDaneSt. Croix CountySt. CroixWaukesha CountyWaukeshaOzaukee CountyOzaukee18.376088%18.376088%18.4%3,990113.948397%13.948397%13.9%2,676213.760962%13.760962%13.8%2,495313.092854%13.092854%13.1%81,52281.5k413.020590%13.020590%13.0%27,818,38027.8M11.937598%11.937598%11.9%2,441511.792912%11.792912%11.8%1,697611.170104%11.170104%11.2%14,74814.7k710.956491%10.956491%11.0%6,905810.719464%10.719464%10.7%3,363,7843.36M10.591406%10.591406%10.6%11,47611.5k910.579732%10.579732%10.6%2,1371010.244520%10.244520%10.2%4,641,8354.64M10.080658%10.080658%10.1%3,2621110.003168%10.003168%10.0%11,05311.1k129.792887%9.792887%9.8%2,993139.699758%9.699758%9.7%2,003149.607260%9.607260%9.6%2,615159.364060%9.364060%9.4%2,755169.145423%9.145423%9.1%3,401179.112219%9.112219%9.1%4,004189.100310%9.100310%9.1%5,192199.074810%9.074810%9.1%6,098208.872860%8.872860%8.9%5,068218.851943%8.851943%8.9%8,210228.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,598238.619607%8.619607%8.6%2,745248.601954%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 Monroe County, selected other counties in Wisconsin, and entities that contain Monroe County
0%10%20%30%40%Count#Dane CountyDaneOzaukee CountyOzaukeeWaukesha CountyWaukeshaSt. Croix CountySt. CroixLa Crosse CountyLa CrosseDoor CountyDoorEau Claire CountyEau ClaireUnited States of AmericaUnited StatesPortage CountyPortageMilwaukee CountyMilwaukeeWashington CountyWashingtonMidwestCalumet CountyCalumetEast North CentralWisconsinBrown CountyBrownWalworth CountyWalworthPierce CountyPierceOutagamie CountyOutagamieWinnebago CountyWinnebagoVilas CountyVilasDunn CountyDunnOneida CountyOneidaKenosha CountyKenoshaRacine CountyRacineMarathon CountyMarathonSheboygan CountySheboyganJefferson CountyJeffersonIowa CountyIowaDouglas CountyDouglasGreen CountyGreenColumbia CountyColumbiaSauk CountySaukFond du Lac CountyFond du 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%22,20322.2k2223.621840%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 Monroe County, selected other counties in Wisconsin, and entities that contain Monroe 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 CountyGrantMarathon CountyMarathonBrown CountyBrownWinnebago CountyWinnebagoIowa CountyIowaGreen CountyGreenBarron CountyBarronVernon CountyVernonOutagamie CountyOutagamieKenosha CountyKenoshaPierce CountyPierceSauk CountySaukColumbia CountyColumbiaJefferson CountyJeffersonWashington CountyWashingtonRacine CountyRacineRock CountyRockDouglas CountyDouglasChippewa CountyChippewaSheboygan CountySheboyganFond du Lac CountyFond du LacPolk CountyPolkMonroe CountyMonroeCalumet CountyCalumetMarinette CountyMarinetteDodge CountyDodgeShawano CountyShawanoLincoln CountyLincolnOconto CountyOcontoManitowoc CountyManitowocWaupaca CountyWaupacaJackson CountyJacksonJuneau CountyJuneauTrempealeau CountyTrempealeauWaushara CountyWausharaClark CountyClark6.978843%6.978843%7.0%23,50923.5k15.805973%5.805973%5.8%3,51924.130985%4.130985%4.1%3,06833.942743%3.942743%3.9%10,89110.9k43.336158%3.336158%3.3%7,127,6737.13M3.143217%3.143217%3.1%67453.130498%3.130498%3.1%1,99363.030506%3.030506%3.0%1,35872.985811%2.985811%3.0%18,59118.6k82.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.786916%2.786916%2.8%75492.703886%2.703886%2.7%105,215105k2.644928%2.644928%2.6%438102.636720%2.636720%2.6%1,525112.631773%2.631773%2.6%714122.573032%2.573032%2.6%1,729132.536775%2.536775%2.5%1,321142.213779%2.213779%2.2%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#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 Monroe County, selected other counties in Wisconsin, and entities that contain Monroe County
Female
Male
1x0x1xFM#LincolnGrantDoorWinnebagoTrempealeauPierceChippewaJacksonShawanoGreenMonroeManitowocOcontoJuneauWaupacaClarkDouglasRacineSaukIowaPolkWalworthColumbiaOutagamieOneidaVilasDunnKenoshaFond du LacDodgePortageBrownWoodWisconsinBarronCalumetMarathonRockDaneWausharaWaukeshaSheboyganMidwestWashingtonEast North CentralMilwaukeeUnited StatesVernonJeffersonEau ClaireMarinetteSt. CroixLa CrosseOzaukee-1.000000x-1.000000x1.701366x1.701366x1.70x7.198%7.20%12.247%12.2%1-1.000000x-1.000000x1.611247x1.611247x1.61x6.600%6.60%10.635%10.6%2-1.000000x-1.000000x1.599739x1.599739x1.60x4.927%4.93%7.882%7.88%3-1.000000x-1.000000x1.548094x1.548094x1.55x6.189%6.19%9.581%9.58%4-1.000000x-1.000000x1.543397x1.543397x1.54x8.305%8.31%12.818%12.8%5-1.000000x-1.000000x1.493476x1.493476x1.49x4.256%4.26%6.357%6.36%6-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%7-1.000000x-1.000000x1.449841x1.449841x1.45x9.497%9.50%13.769%13.8%8-1.000000x-1.000000x1.432451x1.432451x1.43x7.710%7.71%11.044%11.0%9-1.000000x-1.000000x1.408297x1.408297x1.41x6.491%6.49%9.141%9.14%10-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%11-1.000000x-1.000000x1.389119x1.389119x1.39x7.638%7.64%10.610%10.6%12-1.000000x-1.000000x1.374304x1.374304x1.37x8.070%8.07%11.091%11.1%13-1.000000x-1.000000x1.372407x1.372407x1.37x11.643%11.6%15.979%16.0%14-1.000000x-1.000000x1.345859x1.345859x1.35x7.796%7.80%10.492%10.5%15-1.000000x-1.000000x1.344554x1.344554x1.34x15.666%15.7%21.064%21.1%16-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%17-1.000000x-1.000000x1.324710x1.324710x1.32x9.652%9.65%12.786%12.8%18-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%19-1.000000x-1.000000x1.317393x1.317393x1.32x5.673%5.67%7.473%7.47%20-1.000000x-1.000000x1.317139x1.317139x1.32x6.222%6.22%8.196%8.20%21-1.000000x-1.000000x1.312179x1.312179x1.31x7.868%7.87%10.324%10.3%22-1.000000x-1.000000x1.312059x1.312059x1.31x6.240%6.24%8.187%8.19%23-1.000000x-1.000000x1.304911x1.304911x1.30x5.628%5.63%7.345%7.34%24-1.000000x-1.000000x1.304731x1.304731x1.30x6.919%6.92%9.027%9.03%25-1.000000x-1.000000x1.271978x1.271978x1.27x6.646%6.65%8.453%8.45%26-1.000000x-1.000000x1.264913x1.264913x1.26x6.297%6.30%7.965%7.96%27-1.000000x-1.000000x1.259401x1.259401x1.26x8.885%8.88%11.190%11.2%28-1.000000x-1.000000x1.243849x1.243849x1.24x7.537%7.54%9.375%9.37%29-1.000000x-1.000000x1.242121x1.242121x1.24x9.722%9.72%12.076%12.1%30-1.000000x-1.000000x1.236850x1.236850x1.24x6.069%6.07%7.506%7.51%31-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%32-1.000000x-1.000000x1.235773x1.235773x1.24x6.872%6.87%8.492%8.49%33-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.205037x1.205037x1.21x9.154%9.15%11.030%11.0%34-1.000000x-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%35-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%36-1.000000x-1.000000x1.191494x1.191494x1.19x9.696%9.70%11.553%11.6%37-1.000000x-1.000000x1.187155x1.187155x1.19x4.348%4.35%5.162%5.16%38-1.000000x-1.000000x1.183552x1.183552x1.18x12.548%12.5%14.851%14.9%39-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%40-1.000000x-1.000000x1.140135x1.140135x1.14x7.823%7.82%8.920%8.92%41-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127252x1.127252x1.13x5.716%5.72%6.443%6.44%42-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%43-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106354x1.106354x1.11x11.340%11.3%12.546%12.5%44-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%45-1.000000x-1.000000x1.070745x1.070745x1.07x6.639%6.64%7.109%7.11%46-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%47-1.000000x-1.000000x1.019047x1.019047x1.02x4.203%4.20%4.283%4.28%48-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%49-1.036965x-1.036965x1.04x1.000000x1.000000x3.715%3.71%3.582%3.58%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 Monroe County, selected other counties in Wisconsin, and entities that contain Monroe County
Female
Male
1x0x1x2xFM#PortageJuneauOneidaWinnebagoSheboyganLincolnEau ClaireFond du LacPolkClarkSaukWaupacaOzaukeeWoodManitowocShawanoVilasSt. CroixWalworthMarinetteRockBrownDunnWaukeshaDouglasBarronCalumetJeffersonGrantLa CrosseRacineColumbiaEast North CentralMidwestWisconsinKenoshaUnited StatesGreenTrempealeauMilwaukeeMonroeWausharaDoorOutagamieMarathonDanePierceWashingtonVernonDodgeIowaOcontoChippewaJackson-1.000000x-1.000000x2.277540x2.277540x2.28x1.853%1.85%4.219%4.22%1-1.000000x-1.000000x2.264652x2.264652x2.26x0.623%0.62%1.412%1.41%2-1.000000x-1.000000x2.218029x2.218029x2.22x1.640%1.64%3.637%3.64%3-1.000000x-1.000000x2.174213x2.174213x2.17x1.275%1.28%2.773%2.77%4-1.000000x-1.000000x2.031853x2.031853x2.03x0.976%0.98%1.984%1.98%5-1.000000x-1.000000x2.023351x2.023351x2.02x0.729%0.73%1.476%1.48%6-1.000000x-1.000000x2.013470x2.013470x2.01x2.093%2.09%4.215%4.21%7-1.000000x-1.000000x1.953821x1.953821x1.95x1.002%1.00%1.957%1.96%8-1.000000x-1.000000x1.945823x1.945823x1.95x0.991%0.99%1.928%1.93%9-1.000000x-1.000000x1.933595x1.933595x1.93x0.546%0.55%1.055%1.06%10-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%11-1.000000x-1.000000x1.880009x1.880009x1.88x0.743%0.74%1.397%1.40%12-1.000000x-1.000000x1.872688x1.872688x1.87x4.090%4.09%7.659%7.66%13-1.000000x-1.000000x1.814669x1.814669x1.81x1.818%1.82%3.299%3.30%14-1.000000x-1.000000x1.806143x1.806143x1.81x0.769%0.77%1.390%1.39%15-1.000000x-1.000000x1.801551x1.801551x1.80x0.924%0.92%1.665%1.66%16-1.000000x-1.000000x1.794571x1.794571x1.79x1.894%1.89%3.398%3.40%17-1.000000x-1.000000x1.774639x1.774639x1.77x1.907%1.91%3.384%3.38%18-1.000000x-1.000000x1.769950x1.769950x1.77x1.867%1.87%3.304%3.30%19-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%20-1.000000x-1.000000x1.733327x1.733327x1.73x1.151%1.15%1.995%2.00%21-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%22-1.000000x-1.000000x1.701002x1.701002x1.70x2.062%2.06%3.507%3.51%23-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%24-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%25-1.000000x-1.000000x1.674221x1.674221x1.67x1.435%1.44%2.403%2.40%26-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%27-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%28-1.000000x-1.000000x1.647269x1.647269x1.65x1.672%1.67%2.754%2.75%29-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%30-1.000000x-1.000000x1.641913x1.641913x1.64x1.260%1.26%2.069%2.07%31-1.000000x-1.000000x1.632754x1.632754x1.63x1.321%1.32%2.157%2.16%32-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.529626x1.529626x1.53x1.477%1.48%2.259%2.26%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519133x1.519133x1.52x1.560%1.56%2.370%2.37%34-1.000000x-1.000000x1.514826x1.514826x1.51x0.759%0.76%1.149%1.15%35-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%36-1.000000x-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%37-1.000000x-1.000000x1.474810x1.474810x1.47x0.746%0.75%1.100%1.10%38-1.000000x-1.000000x1.464487x1.464487x1.46x2.563%2.56%3.754%3.75%39-1.000000x-1.000000x1.455713x1.455713x1.46x1.525%1.53%2.220%2.22%40-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%41-1.000000x-1.000000x1.404212x1.404212x1.40x5.827%5.83%8.182%8.18%42-1.000000x-1.000000x1.403843x1.403843x1.40x1.537%1.54%2.158%2.16%43-1.000000x-1.000000x1.374225x1.374225x1.37x1.441%1.44%1.980%1.98%44-1.000000x-1.000000x1.357719x1.357719x1.36x1.620%1.62%2.199%2.20%45-1.000000x-1.000000x1.235296x1.235296x1.24x1.161%1.16%1.434%1.43%46-1.000000x-1.000000x1.129194x1.129194x1.13x1.891%1.89%2.135%2.14%47-1.000000x-1.000000x1.084340x1.084340x1.08x1.032%1.03%1.119%1.12%48-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%49-1.147189x-1.147189x1.15x1.000000x1.000000x1.142%1.14%0.995%1.00%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Monroe County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Monroe 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 Monroe County, selected other counties in the United States, and entities that contain Monroe 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 CountySuffolkMonroe CountyMonroeFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery 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%102,414102k379.792887%9.792887%9.8%2,9939.640656%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%80,37880.4k467.173605%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 Monroe County, selected other counties in the United States, and entities that contain Monroe County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralWisconsinMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronxMonroe CountyMonroe60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%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%173,169173k5018.178844%18.178844%18.2%5,556
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 Monroe County, selected other counties in the United States, and entities that contain Monroe 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 CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronxMonroe CountyMonroe12.399695%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%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k501.456009%1.456009%1.5%445
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 Monroe County, selected other counties in the United States, and entities that contain Monroe County
Female
Male
1x0x1xFM#MonroeMecklenburgPalm BeachWisconsinWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.405780x1.405780x1.41x8.136%8.14%11.438%11.4%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 Monroe County, selected other counties in the United States, and entities that contain Monroe County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauWisconsinBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeMonroeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%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-1.000000x1.489534x1.489534x1.49x1.169%1.17%1.741%1.74%-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Sparta, Tomah
Towns:
Adrian, Angelo, Byron, Clifton, Glendale, Grant, Greenfield, Jefferson, La Grange, Lafayette, Leon, Lincoln, Little Falls, New Lyme, Oakdale, Portland, Ridgeville, Scott, Sheldon, Sparta, Tomah, Wellington, Wells, Wilton
Unincorporated Places:
Cataract, Tunnel City
Villages:
Cashton, Kendall, Melvina, Norwalk, Oakdale, Ontario, Rockland, Warrens, Wilton, Wyeville
ZIP Codes:
53929, 54615, 54618, 54619, 54638, 54642, 54648, 54651, 54653, 54656, 54660, 54666, 54670
Unified School Districts:
Bangor, Black River Falls, Cashton, Hillsboro, Melrose-Mindoro, New Lisbon, Norwalk-Ontario-Wilton, Royall, Sparta, Tomah, Westby
Congressional Districts:
WI-3, WI-7
State Senate Districts:
WI-17, WI-24, WI-32
Assembly Districts:
WI-50, WI-70, WI-96
Neighboring Counties:
Jackson, Juneau, La Crosse, Vernon
Nearby Counties:
Adams, Allamakee, Clark, Crawford, Houston, Richland, Sauk, Trempealeau, Wood