Educational Attainment in Onalaska, La Crosse County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of La Crosse County and Onalaska
Onalaska
La Crosse County
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma248.185707%46.400873%48.185707%48.2%6,08246.926002%48.124360%46.926002%46.9%5,9234.888290%5.474767%4.888290%4.9%617
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 La Crosse County at large.
Scope: population of La Crosse County and Onalaska
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma23.846555%3.846555%+3.8%48.186%48.2%46.401%46.4%-2.490128%-2.490128%-2.5%46.926%46.9%48.124%48.1%-10.712360%-10.712360%-10.7%4.888%4.89%5.475%5.47%
% percentage with given level in Onalaska
ref. percentage with given level in La Crosse County
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 La Crosse County and Onalaska
Onalaska
La Crosse County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.449849%1.942963%1.449849%1.4%1833.097766%2.188022%3.097766%3.1%39110.822374%8.209458%10.822374%10.8%1,36619.782919%20.129800%19.782919%19.8%2,49713.032800%13.930630%13.032800%13.0%1,64522.571700%21.728066%22.571700%22.6%2,84924.354302%26.396295%24.354302%24.4%3,0742.907622%3.751279%2.907622%2.9%3670.974489%0.989659%0.974489%1.0%1231.006180%0.733829%1.006180%1.0%127
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 La Crosse County at large.
Scope: population of La Crosse County and Onalaska
-40%-20%-0%+20%+40%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-25.379473%-25.379473%-25.4%1.450%1.45%1.943%1.94%41.578382%41.578382%+41.6%3.098%3.10%2.188%2.19%31.828120%31.828120%+31.8%10.822%10.8%8.209%8.21%-1.723224%-1.723224%-1.7%19.783%19.8%20.130%20.1%-6.445005%-6.445005%-6.4%13.033%13.0%13.931%13.9%3.882694%3.882694%+3.9%22.572%22.6%21.728%21.7%-7.735906%-7.735906%-7.7%24.354%24.4%26.396%26.4%-22.489863%-22.489863%-22.5%2.908%2.91%3.751%3.75%-1.532860%-1.532860%-1.5%0.974%0.97%0.990%0.99%37.113675%37.113675%+37.1%1.006%1.01%0.734%0.73%
% percentage with given level in Onalaska
ref. percentage with given level in La Crosse County
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 La Crosse County and Onalaska
More Females More Males
La Crosse County
Onalaska
5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-0.343111%-8.798263%-0.343111%0%48.261%48.3%48.096%48.1%-0.777615%-0.777615%1%8.492067%47.092%47.1%46.729%46.7%-0.345236%11.372132%11.372132%11%4.646%4.65%5.175%5.17%
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 La Crosse County and Onalaska
More Females More Males
La Crosse County
Onalaska
0%200%400%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None529.006577%76.260362%529.006577%529%0.424%0.42%2.665%2.67%86.245924%54.966240%86.245924%86%2.221%2.22%4.136%4.14%-16.487903%-42.257113%-16.487903%16%11.572%11.6%9.934%9.93%-21.442396%-14.077141%-21.442396%21%21.523%21.5%17.722%17.7%-3.234779%8.912533%8.912533%9%12.522%12.5%13.638%13.6%10.183520%1.266292%10.183520%10%21.566%21.6%23.763%23.8%-11.144895%-11.144895%11%14.829711%25.526%25.5%22.966%23.0%-5.509274%25.769190%25.769190%26%2.601%2.60%3.271%3.27%-23.259497%-23.259497%23%3.159462%1.067%1.07%0.865%0.87%6.073991%22.917145%6.073991%6%0.979%0.98%1.038%1.04%
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 La Crosse County and Onalaska
Onalaska
La Crosse County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3414.965372%12.788612%14.965372%15.0%4973,32120.883281%19.299685%20.883281%20.9%9934,75523.845788%26.226312%23.845788%23.8%5012,10120.695297%25.020107%20.695297%20.7%5062,445
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 La Crosse County at large.
Scope: population of La Crosse County and Onalaska
15%10%5%0%5%10%15%%ref.65+45-6435-4425-3417.021082%17.021082%17.0%14.965%15.0%12.789%12.8%8.205291%8.205291%8.2%20.883%20.9%19.300%19.3%-9.076855%-9.076855%9.1%23.846%23.8%26.226%26.2%-17.285340%-17.285340%17.3%20.695%20.7%25.020%25.0%
% percentage in Onalaska with a Bachelor's degree
ref percentage in La Crosse County 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 La Crosse County and Onalaska
More Females More Males
La Crosse County
Onalaska
100%50%0%50%FM65+45-6435-4425-34-12.618698%60.781094%60.781094%60.8%11.915%11.9%19.157%19.2%-60.342050%-60.342050%60.3%2.914869%25.541%25.5%15.929%15.9%-23.658267%13.601976%13.601976%13.6%22.438%22.4%25.490%25.5%-111.732531%-51.923883%-111.732531%111.7%27.184%27.2%12.839%12.8%
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 La Crosse County and Onalaska
Onalaska
La Crosse County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$70,515.000000$56,736.000000$70,515.000000$70.5k1,94015.370%15.4%$50,377.000000$44,595.000000$50,377.000000$50.4k2,49719.783%19.8%$32,722.000000$32,295.000000$32,722.000000$32.7k4,49435.605%35.6%$24,800.000000$26,821.000000$24,800.000000$24.8k3,07424.354%24.4%$30,556.000000$23,850.000000$30,556.000000$30.6k6174.888%4.89%$38,516.000000$35,913.000000$38,516.000000$38.5k12,62212.6k100.000%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 La Crosse County and Onalaska
Female Male
La Crosse County
Onalaska
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-54,310.000000$-52,670.000000$-54,310.000000$54.3k$54,310.000000$30,953.000000$52,670.000000$9,955.000000$85,263.000000$85.3k973967$-45,821.000000$-38,977.000000$-45,821.000000$45.8k$45,821.000000$18,608.000000$38,977.000000$14,400.000000$64,429.000000$64.4k1,4731,024$-24,848.000000$-27,891.000000$-24,848.000000$24.8k$24,848.000000$16,854.000000$27,891.000000$11,965.000000$41,702.000000$41.7k2,3332,161$-18,772.000000$-21,835.000000$-18,772.000000$18.8k$18,772.000000$12,966.000000$21,835.000000$10,240.000000$31,738.000000$31.7k1,7471,327$-24,750.000000$-22,017.000000$-24,750.000000$24.8k$24,750.000000$15,378.000000$22,017.000000$4,144.000000$40,128.000000$40.1k318299$-30,935.000000$-30,638.000000$-30,935.000000$30.9k$30,935.000000$12,120.000000$30,638.000000$10,885.000000$43,055.000000$43.1k6,8445,778
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of La Crosse County and Onalaska
Onalaska
La Crosse County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.117150%86.307708%84.117150%84.1%2,98782.392398%80.431958%82.392398%82.4%2,94868.128342%74.415147%68.128342%68.1%1,27453.973510%51.913552%53.973510%54.0%163
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of La Crosse County and Onalaska
Female Male
La Crosse County
Onalaska
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%MFWhite1BlackAsianHispanic2Other1-4.036231%-4.925916%-4.036231%4.0%4.036231%0.928444%4.925916%0.262287%4.964674%5.0%260254-0.000000%-10.750000%-8.509259%0.000000%0.0%0.000000%2.352941%10.750000%2.352941%2.4%20-9.250000%-6.397922%-8.187599%-6.252235%-15.647922%15.6%9.250000%8.187599%9.250000%9.3%3764-0.000000%-9.939148%-4.103405%0.000000%0.0%0.000000%0.000000%9.939148%0.000000%0.0%00-0.000000%-13.461538%-1.078521%0.000000%0.0%0.000000%0.000000%13.461538%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of La Crosse County and Onalaska
Female Male
La Crosse County
Onalaska
Shaded bar tips show excess over facing bar.
40%20%0%20%MFWhite1BlackAsianHispanic2Other1-35.592897%-0.844415%-31.209490%-3.548687%-36.437311%36.4%35.592897%31.209490%35.592897%35.6%1,8642,293-20.000000%-38.695652%-13.250000%-2.675926%-58.695652%58.7%20.000000%13.250000%20.000000%20.0%1727-20.048900%-28.381743%-20.048900%20.0%20.048900%2.201100%28.381743%1.427478%22.250000%22.3%8982-0.000000%-22.388060%-12.981744%-6.167192%-22.388060%22.4%0.000000%12.981744%0.000000%0.0%015-35.802469%-18.842730%-35.802469%35.8%35.802469%1.697531%18.842730%0.388039%37.500000%37.5%2129
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Onalaska

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
36%41%46%52%57%63%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
35.7%40.2%44.7%49.1%53.5%58.0%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
2.1%3.0%3.8%4.7%5.5%6.4%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.1%2.8%3.6%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%3.1%4.6%6.1%7.7%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
4.1%6.1%8.1%10.1%12.1%14.1%

Detailed: Bachelor's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
15.7%17.8%19.7%21.7%23.6%25.7%

Detailed: Associate's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
11.3%12.5%13.7%14.8%16.0%17.2%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
18.7%20.3%21.9%23.5%25.2%26.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
16.6%19.6%22.5%25.4%28.3%31.2%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%2.1%2.7%3.3%3.8%4.5%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.38%0.54%0.69%0.85%1.00%1.16%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.24%0.49%0.73%0.97%1.22%
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Educational Attainment by County Subdivision in the La Crosse Area

There are 42 county subdivisions in the La Crosse Area. This section compares Onalaska to all of the county subdivisions in the La Crosse Area and to those entities that contain or substantially overlap with Onalaska.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Onalaska, selected other county subdivisions in the La Crosse Area, and entities that contain Onalaska
0%5%10%Count#Spring GroveUnited States of AmericaUnited StatesTown of BangorBangorHouston TownshipHoustonEitzenEast North CentralHoustonMidwestMayville TownshipMayvilleTown of BurnsBangorWisconsinSheldon TownshipSheldonTown of FarmingtonFarmingtonCaledoniaLa CrosseCrooked Creek TownshipCrooked CrkHokahMoney Creek TownshipMoney CrkLa Crescent TownshipLa CrescentRocklandLa Crosse and Onalaska Metro AreaLa CrosseSpring Grove TownshipSpg GrvLa Crosse CountyLa CrosseUnion TownshipUnionTown of CampbellCampbellJefferson TownshipJeffersonHokah TownshipHokahOnalaskaOnalaskaTown of BarreWinnebago TownshipWinnebagoCaledonia TownshipCaledoniaLa CrescentMound Prairie TownshipMound PrairieTown of GreenfieldGreenfieldTown of MedaryMedaryTown of WashingtonWashingtonWest SalemTown of HollandHollandHolmenTown of OnalaskaOnalaskaBlack Hammer TownshipBlack HammerTown of ShelbyShelbyBrownsville TownshipBrownsvilleBrownsvilleTown of HamiltonHamiltonWilmington TownshipWilmingtonYucatan TownshipYucatan13.333333%13.333333%13.3%128113.020590%13.020590%13.0%27,818,38027.8M12.727273%12.727273%12.7%49211.824324%11.824324%11.8%35310.982659%10.982659%11.0%19410.719464%10.719464%10.7%3,363,7843.36M10.471976%10.471976%10.5%71510.244520%10.244520%10.2%4,641,8354.64M9.756098%9.756098%9.8%2469.224012%9.224012%9.2%6378.667389%8.667389%8.7%8088.637220%8.637220%8.6%336,096336k8.252427%8.252427%8.3%1797.718348%7.718348%7.7%114107.534247%7.534247%7.5%154117.116644%7.116644%7.1%2,075126.989247%6.989247%7.0%13136.578947%6.578947%6.6%25146.473214%6.473214%6.5%29156.202290%6.202290%6.2%65166.127451%6.127451%6.1%25175.615888%5.615888%5.6%4,9235.490196%5.490196%5.5%14185.474767%5.474767%5.5%4,0665.349794%5.349794%5.3%13195.114129%5.114129%5.1%177205.102041%5.102041%5.1%5214.958678%4.958678%5.0%18224.888290%4.888290%4.9%6174.888290%4.888290%4.9%617234.875000%4.875000%4.9%39244.761905%4.761905%4.8%8254.387991%4.387991%4.4%19264.357099%4.357099%4.4%143274.273504%4.273504%4.3%20284.181185%4.181185%4.2%60294.094077%4.094077%4.1%47303.947368%3.947368%3.9%15313.759178%3.759178%3.8%128323.688853%3.688853%3.7%92333.250872%3.250872%3.3%205343.198349%3.198349%3.2%124353.191489%3.191489%3.2%6363.075203%3.075203%3.1%110373.039514%3.039514%3.0%10382.985075%2.985075%3.0%12392.658960%2.658960%2.7%46402.602230%2.602230%2.6%7410.865801%0.865801%0.9%242
Count number of people in category
# rank of county subdivision out of 42 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Onalaska, selected other county subdivisions in the La Crosse Area, and entities that contain Onalaska
0%10%20%30%40%Count#Town of ShelbyShelbyTown of MedaryMedaryTown of HamiltonHamiltonLa Crescent TownshipLa CrescentBlack Hammer TownshipBlack HammerOnalaskaOnalaskaTown of BarreLa CrosseTown of GreenfieldGreenfieldTown of OnalaskaOnalaskaLa Crosse CountyLa CrosseTown of HollandHollandLa Crosse and Onalaska Metro AreaLa CrosseUnited States of AmericaUnited StatesHokah TownshipHokahWest SalemMidwestLa CrescentEast North CentralWisconsinHolmenHouston TownshipHoustonYucatan TownshipYucatanTown of CampbellCampbellWinnebago TownshipWinnebagoCaledonia TownshipCaledoniaMound Prairie TownshipMound PrairieUnion TownshipUnionJefferson TownshipJeffersonHoustonMoney Creek TownshipMoney CrkSpring Grove TownshipSpg GrvSheldon TownshipSheldonTown of FarmingtonFarmingtonBrownsville TownshipBrownsvilleBangorTown of BurnsCrooked Creek TownshipCrooked CrkTown of WashingtonWashingtonTown of BangorBangorWilmington TownshipWilmingtonEitzenSpring GroveHokahBrownsvilleCaledoniaMayville TownshipMayvilleRockland49.846240%49.846240%49.8%1,783142.508711%42.508711%42.5%488239.190751%39.190751%39.2%678336.259542%36.259542%36.3%380436.170213%36.170213%36.2%68535.152908%35.152908%35.2%4,43735.152908%35.152908%35.2%4,437633.000000%33.000000%33.0%264732.942347%32.942347%32.9%9,605832.613240%32.613240%32.6%468932.473562%32.473562%32.5%1,2591032.470243%32.470243%32.5%24,11524.1k32.036889%32.036889%32.0%7991130.956401%30.956401%31.0%27,13727.1k30.315023%30.315023%30.3%64,767,78764.8M29.752066%29.752066%29.8%1081229.574156%29.574156%29.6%1,0071328.952816%28.952816%29.0%13,118,64213.1M28.884826%28.884826%28.9%9481428.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.974310%26.974310%27.0%1,7011525.675676%25.675676%25.7%761625.541126%25.541126%25.5%591724.992777%24.992777%25.0%8651823.809524%23.809524%23.8%401923.094688%23.094688%23.1%1002023.076923%23.076923%23.1%1082122.633745%22.633745%22.6%552222.448980%22.448980%22.4%222322.271386%22.271386%22.3%1512420.982143%20.982143%21.0%942520.392157%20.392157%20.4%522620.388350%20.388350%20.4%422720.311442%20.311442%20.3%3002819.452888%19.452888%19.5%642918.201517%18.201517%18.2%1683018.008785%18.008785%18.0%1233117.741935%17.741935%17.7%333217.368421%17.368421%17.4%663316.883117%16.883117%16.9%653416.356877%16.356877%16.4%443516.184971%16.184971%16.2%283615.520833%15.520833%15.5%1493713.947368%13.947368%13.9%533813.930348%13.930348%13.9%563912.769080%12.769080%12.8%2614012.601626%12.601626%12.6%31419.558824%9.558824%9.6%3942
Count number of people in category
# rank of county subdivision out of 42 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Onalaska, selected other county subdivisions in the La Crosse Area, and entities that contain Onalaska
0%5%10%Count#Town of ShelbyShelbyLa Crescent TownshipLa CrescentTown of HamiltonHamiltonHokah TownshipHokahLa CrosseTown of MedaryMedaryOnalaskaOnalaskaLa Crosse CountyLa CrosseLa Crosse and Onalaska Metro AreaLa CrosseUnited States of AmericaUnited StatesTown of OnalaskaOnalaskaBlack Hammer TownshipBlack HammerHolmenMidwestEast North CentralTown of BarreWisconsinLa CrescentTown of BangorBangorTown of HollandHollandUnion TownshipUnionHoustonTown of WashingtonWashingtonJefferson TownshipJeffersonSheldon TownshipSheldonCaledonia TownshipCaledoniaTown of GreenfieldGreenfieldWinnebago TownshipWinnebagoYucatan TownshipYucatanMound Prairie TownshipMound PrairieTown of BurnsTown of CampbellCampbellSpring Grove TownshipSpg GrvEitzenMoney Creek TownshipMoney CrkWilmington TownshipWilmingtonTown of FarmingtonFarmingtonWest SalemHouston TownshipHoustonSpring GroveBrownsville TownshipBrownsvilleCrooked Creek TownshipCrooked CrkHokahCaledoniaBangorMayville TownshipMayvilleRocklandBrownsville11.462119%11.462119%11.5%41015.629771%5.629771%5.6%5925.202312%5.202312%5.2%9034.958678%4.958678%5.0%1844.777583%4.777583%4.8%1,39354.703833%4.703833%4.7%5464.547615%4.547615%4.5%5744.547615%4.547615%4.5%57474.130985%4.130985%4.1%3,0683.794118%3.794118%3.8%3,3263.336158%3.336158%3.3%7,127,6737.13M3.275729%3.275729%3.3%12783.191489%3.191489%3.2%692.917856%2.917856%2.9%184102.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.750000%2.750000%2.8%22112.703886%2.703886%2.7%105,215105k2.650823%2.650823%2.7%87122.597403%2.597403%2.6%10132.526063%2.526063%2.5%63142.469136%2.469136%2.5%6152.359882%2.359882%2.4%16162.105263%2.105263%2.1%8172.040816%2.040816%2.0%2181.941748%1.941748%1.9%4191.847575%1.847575%1.8%8201.811847%1.811847%1.8%26211.785714%1.785714%1.8%3221.731602%1.731602%1.7%4231.495726%1.495726%1.5%7241.317716%1.317716%1.3%9251.213522%1.213522%1.2%42261.176471%1.176471%1.2%3271.156069%1.156069%1.2%2281.116071%1.116071%1.1%5291.115242%1.115242%1.1%3301.083277%1.083277%1.1%16311.057269%1.057269%1.1%36321.013514%1.013514%1.0%3330.625000%0.625000%0.6%6340.607903%0.607903%0.6%2350.537634%0.537634%0.5%1360.526316%0.526316%0.5%2370.489237%0.489237%0.5%10380.433369%0.433369%0.4%4390.406504%0.406504%0.4%1400.000000%0.000000%0.0%0410.000000%0.000000%0.0%042
Count number of people in category
# rank of county subdivision out of 42 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#31

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 Onalaska, selected other county subdivisions in the La Crosse Area, and entities that contain Onalaska
Female
Male
5x0x5x10xFM#CaledoniaMound PrairieCrooked CrkBrownsvilleMayvilleJeffersonTown of BarreHoustonBlack HammerSpg GrvBangorMedaryTown of BurnsCaledoniaUnionSheldonFarmingtonWashingtonWest SalemLa CrescentSpring GroveLa CrescentMoney CrkWinnebagoWilmingtonEitzenWisconsinMidwestEast North CentralOnalaskaOnalaskaUnited StatesHokahLa CrosseLa CrosseOnalaskaLa CrosseRocklandHoustonHamiltonBangorHolmenYucatanCampbellHokahBrownsvilleShelbyHollandGreenfield-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.085%8.09%1-1.000000x-1.000000x7.648221x7.648221x7.65x0.930%0.93%7.115%7.11%2-1.000000x-1.000000x4.833333x4.833333x4.83x2.299%2.30%11.111%11.1%3-1.000000x-1.000000x4.773333x4.773333x4.77x1.117%1.12%5.333%5.33%4-1.000000x-1.000000x4.534884x4.534884x4.53x3.419%3.42%15.504%15.5%5-1.000000x-1.000000x4.521739x4.521739x4.52x1.923%1.92%8.696%8.70%6-1.000000x-1.000000x4.053908x4.053908x4.05x1.862%1.86%7.547%7.55%7-1.000000x-1.000000x4.000000x4.000000x4.00x4.730%4.73%18.919%18.9%8-1.000000x-1.000000x3.703704x3.703704x3.70x1.250%1.25%4.630%4.63%9-1.000000x-1.000000x2.293233x2.293233x2.29x3.279%3.28%7.519%7.52%10-1.000000x-1.000000x2.083333x2.083333x2.08x8.000%8.00%16.667%16.7%11-1.000000x-1.000000x2.017627x2.017627x2.02x2.688%2.69%5.424%5.42%12-1.000000x-1.000000x1.947977x1.947977x1.95x6.231%6.23%12.139%12.1%13-1.000000x-1.000000x1.899571x1.899571x1.90x5.217%5.22%9.911%9.91%14-1.000000x-1.000000x1.830224x1.830224x1.83x3.670%3.67%6.716%6.72%15-1.000000x-1.000000x1.763492x1.763492x1.76x5.941%5.94%10.476%10.5%16-1.000000x-1.000000x1.698058x1.698058x1.70x5.687%5.69%9.656%9.66%17-1.000000x-1.000000x1.484293x1.484293x1.48x3.175%3.17%4.712%4.71%18-1.000000x-1.000000x1.468548x1.468548x1.47x3.103%3.10%4.557%4.56%19-1.000000x-1.000000x1.446776x1.446776x1.45x3.614%3.61%5.228%5.23%20-1.000000x-1.000000x1.385185x1.385185x1.39x11.364%11.4%15.741%15.7%21-1.000000x-1.000000x1.354696x1.354696x1.35x5.253%5.25%7.116%7.12%22-1.000000x-1.000000x1.295584x1.295584x1.30x5.607%5.61%7.265%7.26%23-1.000000x-1.000000x1.280702x1.280702x1.28x4.110%4.11%5.263%5.26%24-1.000000x-1.000000x1.247002x1.247002x1.25x2.308%2.31%2.878%2.88%25-1.000000x-1.000000x1.233062x1.233062x1.23x9.890%9.89%12.195%12.2%26-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-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-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%27-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101036x1.101036x1.10x4.706%4.71%5.181%5.18%28-1.000000x-1.000000x1.079780x1.079780x1.08x5.406%5.41%5.837%5.84%-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%29-1.000000x-1.000000x1.008329x1.008329x1.01x3.185%3.18%3.211%3.21%30-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%-1.018239x-1.018239x1.02x1.000000x1.000000x6.186%6.19%6.075%6.07%31-1.030205x-1.030205x1.03x1.000000x1.000000x10.610%10.6%10.299%10.3%32-1.121603x-1.121603x1.12x1.000000x1.000000x2.814%2.81%2.509%2.51%33-1.185198x-1.185198x1.19x1.000000x1.000000x9.350%9.35%7.889%7.89%34-1.208257x-1.208257x1.21x1.000000x1.000000x3.551%3.55%2.939%2.94%35-1.287129x-1.287129x1.29x1.000000x1.000000x0.990%0.99%0.769%0.77%36-1.322105x-1.322105x1.32x1.000000x1.000000x5.868%5.87%4.438%4.44%37-1.634119x-1.634119x1.63x1.000000x1.000000x8.081%8.08%4.945%4.95%38-1.797727x-1.797727x1.80x1.000000x1.000000x3.977%3.98%2.212%2.21%39-4.744164x-4.744164x4.74x1.000000x1.000000x5.064%5.06%1.067%1.07%40-5.360546x-5.360546x5.36x1.000000x1.000000x6.311%6.31%1.177%1.18%41-5.724771x-5.724771x5.72x1.000000x1.000000x6.815%6.82%1.190%1.19%42
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 42 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

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 Onalaska, selected other county subdivisions in the La Crosse Area, and entities that contain Onalaska
Female
Male
10x5x0x5x10xFM#CampbellCaledoniaCaledoniaHoustonCrooked CrkWinnebagoEitzenJeffersonHoustonOnalaskaOnalaskaHolmenShelbyMound PrairieHokahLa CrosseEast North CentralLa CrosseMidwestWisconsinUnited StatesLa CrosseMoney CrkHollandHamiltonBangorSpring GroveBrownsvilleLa CrescentGreenfieldSheldonTown of BarreMedaryUnionTown of BurnsYucatanWest SalemOnalaskaLa CrescentFarmingtonWilmingtonSpg GrvBlack HammerBangorHokahWashingtonMayville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.301%2.30%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.991%0.99%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.404%3.40%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.027%2.03%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.010%1.01%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.158%3.16%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.439%2.44%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.348%4.35%8-1.000000x-1.000000x5.427464x5.427464x5.43x0.796%0.80%4.319%4.32%9-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%10-1.000000x-1.000000x2.562710x2.562710x2.56x1.651%1.65%4.231%4.23%11-1.000000x-1.000000x2.126175x2.126175x2.13x7.346%7.35%15.618%15.6%12-1.000000x-1.000000x2.124506x2.124506x2.12x0.930%0.93%1.976%1.98%13-1.000000x-1.000000x1.761658x1.761658x1.76x3.529%3.53%6.218%6.22%14-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.595459x1.595459x1.60x2.941%2.94%4.692%4.69%-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-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%15-1.000000x-1.000000x1.371795x1.371795x1.37x0.935%0.93%1.282%1.28%16-1.000000x-1.000000x1.276818x1.276818x1.28x2.213%2.21%2.826%2.83%17-1.000000x-1.000000x1.271906x1.271906x1.27x4.572%4.57%5.815%5.82%18-1.000000x-1.000000x1.250000x1.250000x1.25x2.286%2.29%2.857%2.86%19-1.000000x-1.000000x1.222222x1.222222x1.22x0.568%0.57%0.694%0.69%20-1.000000x-1.000000x1.193333x1.193333x1.19x0.559%0.56%0.667%0.67%21-1.004280x-1.004280x1.00x1.000000x1.000000x5.642%5.64%5.618%5.62%22-1.027523x-1.027523x1.03x1.000000x1.000000x1.835%1.83%1.786%1.79%23-1.039604x-1.039604x1.04x1.000000x1.000000x1.980%1.98%1.905%1.90%24-1.127660x-1.127660x1.13x1.000000x1.000000x2.926%2.93%2.594%2.59%25-1.138682x-1.138682x1.14x1.000000x1.000000x5.018%5.02%4.407%4.41%26-1.229358x-1.229358x1.23x1.000000x1.000000x2.752%2.75%2.239%2.24%27-1.283383x-1.283383x1.28x1.000000x1.000000x1.484%1.48%1.156%1.16%28-1.287129x-1.287129x1.29x1.000000x1.000000x1.980%1.98%1.538%1.54%29-1.291447x-1.291447x1.29x1.000000x1.000000x1.177%1.18%0.911%0.91%30-1.629098x-1.629098x1.63x1.000000x1.000000x4.087%4.09%2.509%2.51%31-1.706381x-1.706381x1.71x1.000000x1.000000x3.275%3.27%1.919%1.92%32-1.747573x-1.747573x1.75x1.000000x1.000000x1.387%1.39%0.794%0.79%33-2.138462x-2.138462x2.14x1.000000x1.000000x1.538%1.54%0.719%0.72%34-2.180328x-2.180328x2.18x1.000000x1.000000x1.639%1.64%0.752%0.75%35-2.700000x-2.700000x2.70x1.000000x1.000000x5.000%5.00%1.852%1.85%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.813%0.81%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.010%1.01%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.233%4.23%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.855%0.85%0.000%0%40
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 40 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares Onalaska to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Onalaska. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Onalaska, selected other county subdivisions in Wisconsin, and entities that contain Onalaska
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekLa Crosse and Onalaska Metro AreaLa CrosseLa Crosse CountyLa CrosseGermantownOnalaskaOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.615888%5.615888%5.6%4,9235.474767%5.474767%5.5%4,0665.227570%5.227570%5.2%719384.888290%4.888290%4.9%6174.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Onalaska, selected other county subdivisions in Wisconsin, and entities that contain Onalaska
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantLa Crosse CountyLa CrosseNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekLa Crosse and Onalaska Metro AreaLa CrosseUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,43735.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.470243%32.470243%32.5%24,11524.1k32.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.956401%30.956401%31.0%27,13727.1k30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
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#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Onalaska, selected other county subdivisions in Wisconsin, and entities that contain Onalaska
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOnalaskaOconomowocLa Crosse CountyLa CrosseLa Crosse and Onalaska Metro AreaLa CrosseNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%5744.547615%4.547615%4.5%574114.222683%4.222683%4.2%468124.130985%4.130985%4.1%3,0683.794118%3.794118%3.8%3,3263.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
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#36

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 Onalaska, selected other county subdivisions in Wisconsin, and entities that contain Onalaska
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaOnalaskaUnited StatesEau ClaireWisconsin RapidsLa CrosseMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahLa CrosseFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%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-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.079780x1.079780x1.08x5.406%5.41%5.837%5.84%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%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#37

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 Onalaska, selected other county subdivisions in Wisconsin, and entities that contain Onalaska
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaLa CrosseWest BendEast North CentralLa CrosseMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.595459x1.595459x1.60x2.941%2.94%4.692%4.69%-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-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%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

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Onalaska to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Onalaska. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Onalaska, selected other county subdivisions in the Midwest, and entities that contain Onalaska
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsLa Crosse and Onalaska Metro AreaLa CrosseLa Crosse CountyLa CrosseYork TownshipMilton TownshipMiltonOnalaskaOnalaskaMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.615888%5.615888%5.6%4,9235.474767%5.474767%5.5%4,0665.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.888290%4.888290%4.9%6174.888290%4.888290%4.9%6174.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Onalaska, selected other county subdivisions in the Midwest, and entities that contain Onalaska
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalOnalaskaOnalaskaColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleLa Crosse CountyLa CrosseCedar RapidsLa Crosse and Onalaska Metro AreaLa CrosseUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2135.152908%35.152908%35.2%4,43735.152908%35.152908%35.2%4,43734.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2732.470243%32.470243%32.5%24,11524.1k31.793440%31.793440%31.8%27,10227.1k2830.956401%30.956401%31.0%27,13727.1k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Onalaska, selected other county subdivisions in the Midwest, and entities that contain Onalaska
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnOnalaskaOnalaskaChicagoFargoCapital TownshipCapitalLa Crosse CountyLa CrosseOmahaMaine TownshipMaineLa Crosse and Onalaska Metro AreaLa CrossePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.547615%4.547615%4.5%5744.547615%4.547615%4.5%5744.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.130985%4.130985%4.1%3,0684.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.794118%3.794118%3.8%3,3263.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
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#41

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 Onalaska, selected other county subdivisions in the Midwest, and entities that contain Onalaska
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonOnalaskaOnalaskaSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingLa CrosseGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronLa CrosseAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.079780x1.079780x1.08x5.406%5.41%5.837%5.84%-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%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#42

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 Onalaska, selected other county subdivisions in the Midwest, and entities that contain Onalaska
Female
Male
1x0x1x2xFM#OnalaskaOnalaskaRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaLa CrosseFargoWashingtonEast North CentralLincolnLa CrosseMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.595459x1.595459x1.60x2.941%2.94%4.692%4.69%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%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

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Onalaska to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Onalaska. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Onalaska, selected other county subdivisions in the United States, and entities that contain Onalaska
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleWisconsinNortheast TarrantNE TarrantPlanoLa Crosse and Onalaska Metro AreaLa CrosseLa Crosse CountyLa CrosseSeattle EastOnalaskaOnalaska28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k495.615888%5.615888%5.6%4,9235.474767%5.474767%5.5%4,0664.913852%4.913852%4.9%20,32620.3k504.888290%4.888290%4.9%6174.888290%4.888290%4.9%617
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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Onalaska, selected other county subdivisions in the United States, and entities that contain Onalaska
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoOnalaskaOnalaskaColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaLa Crosse CountyLa CrosseTucsonOceanside-EscondidoOceanside-Escond…TulsaLa Crosse and Onalaska Metro AreaLa CrosseQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1735.152908%35.152908%35.2%4,43735.152908%35.152908%35.2%4,43734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.470243%32.470243%32.5%24,11524.1k32.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.956401%30.956401%31.0%27,13727.1k30.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
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#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Onalaska, selected other county subdivisions in the United States, and entities that contain Onalaska
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoOnalaskaOnalaskaChicagoTucsonTown of HempsteadHempsteadTampaLa Crosse CountyLa CrosseMiamiNortheast DallasNE DallasLa Crosse and Onalaska Metro AreaLa CrosseSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.547615%4.547615%4.5%5744.547615%4.547615%4.5%5744.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.130985%4.130985%4.1%3,0684.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.794118%3.794118%3.8%3,3263.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
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#46

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 Onalaska, selected other county subdivisions in the United States, and entities that contain Onalaska
Female
Male
1x0x1xFM#1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeOnalaskaOnalaskaUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoLa CrosseAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyLa CrosseTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.079780x1.079780x1.08x5.406%5.41%5.837%5.84%-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.003452x-1.003452x1.00x1.000000x1.000000x5.484%5.48%5.465%5.47%-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%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#47

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 Onalaska, selected other county subdivisions in the United States, and entities that contain Onalaska
Female
Male
1x0x1x2xFM#OnalaskaOnalaskaEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixLa CrosseTucson1, CharlotteEast North CentralLa CrosseMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.645663x1.645663x1.65x3.144%3.14%5.174%5.17%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.595459x1.595459x1.60x2.941%2.94%4.692%4.69%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%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

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.

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Demographics

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State:
Wisconsin
County:
La Crosse
Metro Area:
La Crosse Area
City:
Onalaska
ZIP Codes:
54601, 54603, 54650
Unified School Districts:
Holmen, La Crosse, Onalaska
Congressional District:
WI-3
State Senate District:
WI-32
Assembly Districts:
WI-94, WI-95
Neighboring Towns:
Campbell, Hamilton, Medary, Onalaska
Nearby Towns:
Barre, Greenfield, Shelby
Nearby Townships:
Dresbach, La Crescent