Educational Attainment in the Town of Wausau, Marathon County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Marathon County and the Town of Wausau
Town of Wausau
Marathon County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma224.450812%36.061155%24.450812%24.5%51261.938873%55.086902%61.938873%61.9%1,29713.610315%8.851943%13.610315%13.6%285
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 Marathon County at large.
Scope: population of Marathon County and the Town of Wausau
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-32.196260%-32.196260%-32.2%24.451%24.5%36.061%36.1%12.438476%12.438476%+12.4%61.939%61.9%55.087%55.1%53.755117%53.755117%+53.8%13.610%13.6%8.852%8.85%
% percentage with given level in the Town of Wausau
ref. percentage with given level in Marathon 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 Marathon County and the Town of Wausau
Town of Wausau
Marathon County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.238777%0.524001%0.238777%0.2%50.811843%1.673351%0.811843%0.8%173.342884%5.538664%3.342884%3.3%7010.506208%16.203045%10.506208%10.5%2209.551098%12.122094%9.551098%9.6%20018.672397%18.848924%18.672397%18.7%39143.266476%36.237978%43.266476%43.3%9067.879656%5.013585%7.879656%7.9%1654.727794%2.548842%4.727794%4.7%991.002865%1.289516%1.002865%1.0%21
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 Marathon County at large.
Scope: population of Marathon County and the Town of Wausau
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-54.431828%-54.431828%-54.4%0.239%0.24%0.524%0.52%-51.483990%-51.483990%-51.5%0.812%0.81%1.673%1.67%-39.644570%-39.644570%-39.6%3.343%3.34%5.539%5.54%-35.159050%-35.159050%-35.2%10.506%10.5%16.203%16.2%-21.209173%-21.209173%-21.2%9.551%9.55%12.122%12.1%-0.936534%-0.936534%-0.9%18.672%18.7%18.849%18.8%19.395391%19.395391%+19.4%43.266%43.3%36.238%36.2%57.166097%57.166097%+57.2%7.880%7.88%5.014%5.01%85.487906%85.487906%+85.5%4.728%4.73%2.549%2.55%-22.229303%-22.229303%-22.2%1.003%1.00%1.290%1.29%
% percentage with given level in the Town of Wausau
ref. percentage with given level in Marathon 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 Marathon County and the Town of Wausau
More Females More Males
Marathon County
Town of Wausau
0%200%400%600%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-14.769231%-8.364389%-14.769231%15%26.256%26.3%22.878%22.9%-31.680591%-31.680591%32%2.430080%71.077%71.1%53.977%54.0%767.962466%19.467848%767.962466%768%2.667%2.67%23.146%23.1%
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 Marathon County and the Town of Wausau
More Females More Males
Marathon County
Town of Wausau
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1,000.000000%-21.963857%-1,000.000000%> 1000%0.513%0.51%0.000%0%-1,000.000000%-1,000.000000%> 1000%75.104791%1.744%1.74%0.000%0%-34.415678%78.051055%78.051055%0k%2.359%2.36%4.200%4.20%-13.319965%52.479893%52.479893%0k%8.205%8.21%12.511%12.5%-117.895206%-0.492212%-117.895206%0k%13.436%13.4%6.166%6.17%-50.761948%-7.404261%-50.761948%0k%22.769%22.8%15.103%15.1%-24.267374%-24.267374%0k%7.641824%48.308%48.3%38.874%38.9%437.941485%31.639368%437.941485%0k%2.359%2.36%12.690%12.7%1,000.000000%5.494519%1,000.000000%> 1000%0.000%0%8.847%8.85%422.788204%5.096354%422.788204%0k%0.308%0.31%1.609%1.61%
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 Marathon County and the Town of Wausau
Town of Wausau
Marathon County
0%5%10%15%20%B.X.Total65+45-6435-4425-3413.174946%10.248807%13.174946%13.2%614636.458558%14.511853%6.458558%6.5%609298.951407%20.019519%8.951407%9.0%3539120.578778%24.240751%20.578778%20.6%64311
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 Marathon County at large.
Scope: population of Marathon County and the Town of Wausau
40%20%0%20%%ref.65+45-6435-4425-3428.551022%28.551022%28.6%13.175%13.2%10.249%10.2%-55.494604%-55.494604%55.5%6.459%6.46%14.512%14.5%-55.286606%-55.286606%55.3%8.951%8.95%20.020%20.0%-15.106681%-15.106681%15.1%20.579%20.6%24.241%24.2%
% percentage in the Town of Wausau with a Bachelor's degree
ref percentage in Marathon 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 Marathon County and the Town of Wausau
More Females More Males
Marathon County
Town of Wausau
100%0%100%200%300%FM65+45-6435-4425-34375.835756%27.423332%375.835756%375.8%5.498%5.50%26.163%26.2%-107.228529%-18.686778%-107.228529%107.2%9.113%9.11%4.398%4.40%-25.824748%167.832569%167.832569%167.8%4.624%4.62%12.385%12.4%-29.431058%20.720491%20.720491%20.7%18.095%18.1%21.845%21.8%
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 Marathon County and the Town of Wausau
Town of Wausau
Marathon County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$60,208.000000$64,007.000000$60,208.000000$60.2k924.394%4.39%$41,638.000000$44,887.000000$41,638.000000$41.6k22010.506%10.5%$33,333.000000$34,077.000000$33,333.000000$33.3k59128.223%28.2%$33,938.000000$30,984.000000$33,938.000000$33.9k90643.266%43.3%$23,699.000000$23,431.000000$23,699.000000$23.7k28513.610%13.6%$32,788.000000$35,578.000000$32,788.000000$32.8k2,094100.000%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 Marathon County and the Town of Wausau
Female Male
Marathon County
Town of Wausau
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-38,750.000000$-12,250.000000$-39,644.000000$-51,000.000000$51.0k$38,750.000000$39,644.000000$14,012.000000$38,750.000000$38.8k80140$-26,500.000000$-27,969.000000$-26,500.000000$26.5k$26,500.000000$14,438.000000$27,969.000000$14,619.000000$40,938.000000$40.9k353238$-25,203.000000$-25,425.000000$-25,203.000000$25.2k$25,203.000000$16,303.000000$25,425.000000$10,487.000000$41,506.000000$41.5k471435$-10,781.000000$-15,880.000000$-10,781.000000$10.8k$10,781.000000$13,012.000000$15,880.000000$9,203.000000$23,793.000000$23.8k26259$-27,287.000000$-30,478.000000$-27,287.000000$27.3k$27,287.000000$10,739.000000$30,478.000000$10,883.000000$38,026.000000$38.0k9751,119
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 Marathon County and the Town of Wausau
Town of Wausau
Marathon County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma389.224138%86.947640%89.224138%89.2%20785.889571%82.383610%85.889571%85.9%42082.148260%78.967930%82.148260%82.1%54385.542169%56.261920%85.542169%85.5%213
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 Marathon County and the Town of Wausau
Female Male
Marathon County
Town of Wausau
Shaded bar tips show excess over facing bar.
100%50%0%50%MFWhite1Hispanic2-2.371134%-6.531413%-2.371134%2.4%2.371134%8.166736%6.531413%1.590700%10.537870%10.5%9623-77.500000%-22.500000%-38.391502%-100.000000%100.0%77.500000%38.391502%16.082771%77.500000%77.5%1553
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 Marathon County and the Town of Wausau
Female Male
Marathon County
Town of Wausau
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Hispanic2-12.680412%-23.280733%-2.468371%-12.680412%12.7%12.680412%6.309708%23.280733%18.990121%19.0%173123-0.000000%-3.467562%-9.582514%0.000000%0.0%0.000000%7.000000%3.467562%7.000000%7.0%140
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 the Town of Wausau

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

Percentage of the population 25 years and older with given highest level of educational attainment
30.0%34.4%38.7%43.0%47.3%51.7%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
39.8%43.4%46.9%50.5%54.0%57.6%

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
6.7%7.9%9.0%10.1%11.2%12.4%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.35%0.70%1.04%1.39%1.73%2.08%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.66%2.08%2.49%2.91%3.32%3.74%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.4%7.4%9.4%11.3%13.3%15.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.0%12.9%14.8%16.7%18.6%20.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.0%12.0%13.1%14.1%15.1%16.2%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
12.7%14.3%15.9%17.5%19.1%20.8%

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
27.1%29.8%32.4%35.0%37.6%40.3%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.6%4.6%5.6%6.6%7.6%8.6%

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
0.0%0.7%1.4%2.1%2.8%3.6%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.08%0.48%0.88%1.28%1.67%2.08%
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Educational Attainment by County Subdivision in the Wausau Area

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

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 the Town of Wausau, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Wausau
0%10%20%30%Count#ColbyAbbotsfordTown of BernTown of HalseyHalseyTown of HoltonHoltonTown of JohnsonJohnsonTown of WienTown of BeventBeventTown of WausauWausauTown of HewittHewittUnited States of AmericaUnited StatesTown of FrankfortFrankfortTown of HamburgHamburgSpencerTown of PloverPloverMarshfieldTown of HullAthensWausauEast North CentralTown of DayMidwestZIP Code 54403ZIP 54403Town of ReidTown of TexasTown of ClevelandClevelandTown of EmmetWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MarathonMarathonTown of Eau PleineEau PleineWisconsinWestonEdgarTown of RietbrockRietbrockTown of SpencerSpencerMarathon CityTown of ElderonElderonSchofieldRothschildTown of BerlinBerlinTown of RingleRingleTown of EastonEastonTown of KnowltonKnowltonMosineeTown of MosineeMosineeMaineTown of Rib FallsRib FallsTown of McMillanMcMillanTown of CasselCasselStratfordTown of BergenBergenKronenwetterTown of StettinStettinTown of NorrieNorrieTown of Rib MountainRib MtnTown of WestonWeston31.154684%31.154684%31.2%143130.303030%30.303030%30.3%120226.968974%26.968974%27.0%113322.885572%22.885572%22.9%92421.644295%21.644295%21.6%129519.696970%19.696970%19.7%117616.901408%16.901408%16.9%84715.357143%15.357143%15.4%129813.610315%13.610315%13.6%285913.539652%13.539652%13.5%701013.020590%13.020590%13.0%27,818,38027.8M11.805556%11.805556%11.8%511111.680000%11.680000%11.7%731211.544228%11.544228%11.5%1541311.428571%11.428571%11.4%521411.397059%11.397059%11.4%621511.368910%11.368910%11.4%491611.263318%11.263318%11.3%741710.776184%10.776184%10.8%2,8851810.719464%10.719464%10.7%3,363,7843.36M10.682493%10.682493%10.7%721910.244520%10.244520%10.2%4,641,8354.64M10.024422%10.024422%10.0%1,7659.554140%9.554140%9.6%90209.464417%9.464417%9.5%129219.426628%9.426628%9.4%97229.090909%9.090909%9.1%57238.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.729140%8.729140%8.7%68248.655617%8.655617%8.7%47258.637220%8.637220%8.6%336,096336k8.405563%8.405563%8.4%834268.102564%8.102564%8.1%79277.573416%7.573416%7.6%49287.284768%7.284768%7.3%77297.178969%7.178969%7.2%71306.537530%6.537530%6.5%27316.483301%6.483301%6.5%99326.110962%6.110962%6.1%228336.074074%6.074074%6.1%41345.758313%5.758313%5.8%71355.484694%5.484694%5.5%43365.430183%5.430183%5.4%77375.414127%5.414127%5.4%151385.191257%5.191257%5.2%76394.885404%4.885404%4.9%81404.801097%4.801097%4.8%35414.464286%4.464286%4.5%65424.454685%4.454685%4.5%29434.315886%4.315886%4.3%47444.230769%4.230769%4.2%22454.026983%4.026983%4.0%197463.813318%3.813318%3.8%67473.314917%3.314917%3.3%24482.769298%2.769298%2.8%127492.320186%2.320186%2.3%1050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Wausau, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Wausau
0%10%20%30%40%Count#MarshfieldTown of Rib MountainRib MtnTown of StettinStettinTown of McMillanMcMillanKronenwetterTown of WestonWestonUnited States of AmericaUnited StatesMaineMidwestEast North CentralWisconsinTown of BergenBergenRothschildTown of KnowltonKnowltonZIP Code 54403ZIP 54403WestonTown of RingleRingleWausauMosineeWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MosineeMosineeTown of BerlinBerlinTown of MarathonMarathonStratfordTown of SpencerSpencerTown of NorrieNorrieTown of RietbrockRietbrockTown of CasselCasselTown of Rib FallsRib FallsTown of EastonEastonTown of DayMarathon CityAthensTown of HewittHewittTown of ClevelandClevelandTown of PloverPloverTown of TexasTown of WienTown of WausauWausauTown of EmmetEdgarTown of ElderonElderonTown of Eau PleineEau PleineTown of HamburgHamburgSpencerSchofieldTown of ReidTown of HalseyHalseyTown of FrankfortFrankfortTown of HoltonHoltonTown of HullTown of JohnsonJohnsonTown of BernTown of BeventBeventAbbotsfordColby43.014706%43.014706%43.0%234139.795028%39.795028%39.8%1,825238.929994%38.929994%38.9%684336.950549%36.950549%37.0%538432.849550%32.849550%32.8%1,607531.554524%31.554524%31.6%136630.315023%30.315023%30.3%64,767,78764.8M29.794934%29.794934%29.8%494728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.500000%27.500000%27.5%143826.722058%26.722058%26.7%997926.657264%26.657264%26.7%3781026.381553%26.381553%26.4%4,64526.043136%26.043136%26.0%2,5841125.790754%25.790754%25.8%3181225.519199%25.519199%25.5%6,8321324.381499%24.381499%24.4%6801423.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.224044%23.224044%23.2%3401521.629630%21.629630%21.6%1461621.052632%21.052632%21.1%1641720.385675%20.385675%20.4%2221819.962157%19.962157%20.0%2111919.889503%19.889503%19.9%1442019.010819%19.010819%19.0%1232118.740399%18.740399%18.7%1222218.106996%18.106996%18.1%1322317.984694%17.984694%18.0%1412417.952522%17.952522%18.0%1212517.391304%17.391304%17.4%1722616.894977%16.894977%16.9%1112716.827853%16.827853%16.8%872816.520894%16.520894%16.5%1702916.263736%16.263736%16.3%743015.847395%15.847395%15.8%2163115.492958%15.492958%15.5%773214.899713%14.899713%14.9%3123314.513557%14.513557%14.5%913414.153846%14.153846%14.2%1383513.559322%13.559322%13.6%563613.259669%13.259669%13.3%723712.960000%12.960000%13.0%813812.743628%12.743628%12.7%1703912.442698%12.442698%12.4%1904011.889597%11.889597%11.9%1124110.945274%10.945274%10.9%444210.648148%10.648148%10.6%46439.899329%9.899329%9.9%59449.744780%9.744780%9.7%42459.595960%9.595960%9.6%57468.830549%8.830549%8.8%37477.857143%7.857143%7.9%66484.040404%4.040404%4.0%16493.485839%3.485839%3.5%1650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 the Town of Wausau, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Wausau
0%5%10%Count#MarshfieldTown of McMillanMcMillanTown of Rib MountainRib MtnTown of StettinStettinTown of WestonWestonUnited States of AmericaUnited StatesZIP Code 54403ZIP 54403MidwestEast North CentralWisconsinMaineMarathon CityWausauTown of KnowltonKnowltonWausau Metro AreaWausau AreaMarathon CountyMarathonEdgarTown of SpencerSpencerKronenwetterTown of WienMosineeTown of EastonEastonTown of DayTown of Eau PleineEau PleineTown of ClevelandClevelandTown of RietbrockRietbrockTown of NorrieNorrieTown of RingleRingleTown of Rib FallsRib FallsWestonSchofieldAthensSpencerTown of ReidTown of MosineeMosineeTown of HullTown of FrankfortFrankfortTown of PloverPloverTown of WausauWausauRothschildTown of ElderonElderonTown of BergenBergenTown of BerlinBerlinColbyStratfordTown of HalseyHalseyTown of HoltonHoltonTown of MarathonMarathonTown of HamburgHamburgTown of EmmetTown of BeventBeventTown of HewittHewittTown of JohnsonJohnsonTown of TexasTown of BernTown of CasselCasselAbbotsford11.948529%11.948529%11.9%65110.233516%10.233516%10.2%14927.522896%7.522896%7.5%34534.894707%4.894707%4.9%8644.176334%4.176334%4.2%1853.336158%3.336158%3.3%7,127,6737.13M2.919293%2.919293%2.9%5142.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.653800%2.653800%2.7%4462.426694%2.426694%2.4%2472.416704%2.416704%2.4%64782.397743%2.397743%2.4%3492.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0381.743590%1.743590%1.7%17101.702933%1.702933%1.7%18111.676206%1.676206%1.7%82121.609658%1.609658%1.6%8131.577626%1.577626%1.6%44141.530612%1.530612%1.5%12151.483680%1.483680%1.5%10161.473297%1.473297%1.5%8171.457726%1.457726%1.5%15181.391036%1.391036%1.4%9191.381215%1.381215%1.4%10201.378751%1.378751%1.4%17211.371742%1.371742%1.4%10221.350534%1.350534%1.4%134231.309758%1.309758%1.3%20241.217656%1.217656%1.2%8251.199400%1.199400%1.2%16261.167728%1.167728%1.2%11271.161202%1.161202%1.2%17281.160093%1.160093%1.2%5291.157407%1.157407%1.2%5301.098901%1.098901%1.1%5311.050621%1.050621%1.1%22321.018494%1.018494%1.0%38330.968523%0.968523%1.0%4340.961538%0.961538%1.0%5350.888889%0.888889%0.9%6360.871460%0.871460%0.9%4370.826446%0.826446%0.8%9380.746269%0.746269%0.7%3390.671141%0.671141%0.7%4400.641849%0.641849%0.6%5410.640000%0.640000%0.6%4420.637959%0.637959%0.6%4430.476190%0.476190%0.5%4440.386847%0.386847%0.4%2450.336700%0.336700%0.3%2460.293470%0.293470%0.3%4470.238663%0.238663%0.2%1480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 the Town of Wausau, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Wausau
Female
Male
2x0x2x4x6x8xFM#WausauMarathonStettinNorrieFrankfortEastonPloverClevelandRib FallsMcMillanKronenwetterHamburgSpencerCasselElderonTown of ReidBergenTown of TexasHalseyTown of EmmetBeventZIP 54403Rib MtnWestonRingleJohnsonTown of DayRietbrockEdgarEau PleineSpencerWisconsinHewittWausau AreaMarathonStratfordKnowltonTown of WienMosineeHoltonMidwestEast North CentralColbyUnited StatesMaineWestonWausauTown of BernMarathon CityTown of HullMosineeAbbotsfordAthensSchofieldRothschildBerlinMarshfield-1.000000x-1.000000x8.679625x8.679625x8.68x2.667%2.67%23.146%23.1%1-1.000000x-1.000000x3.597661x3.597661x3.60x3.631%3.63%13.064%13.1%2-1.000000x-1.000000x3.483685x3.483685x3.48x1.663%1.66%5.792%5.79%3-1.000000x-1.000000x3.218367x3.218367x3.22x1.506%1.51%4.847%4.85%4-1.000000x-1.000000x2.591199x2.591199x2.59x6.404%6.40%16.594%16.6%5-1.000000x-1.000000x2.573427x2.573427x2.57x2.989%2.99%7.692%7.69%6-1.000000x-1.000000x2.526316x2.526316x2.53x6.250%6.25%15.789%15.8%7-1.000000x-1.000000x2.450466x2.450466x2.45x5.400%5.40%13.233%13.2%8-1.000000x-1.000000x2.360000x2.360000x2.36x2.825%2.82%6.667%6.67%9-1.000000x-1.000000x2.254083x2.254083x2.25x2.707%2.71%6.101%6.10%10-1.000000x-1.000000x2.193382x2.193382x2.19x2.548%2.55%5.588%5.59%11-1.000000x-1.000000x2.167464x2.167464x2.17x7.285%7.28%15.789%15.8%12-1.000000x-1.000000x2.164269x2.164269x2.16x4.536%4.54%9.818%9.82%13-1.000000x-1.000000x2.122122x2.122122x2.12x2.830%2.83%6.006%6.01%14-1.000000x-1.000000x2.029268x2.029268x2.03x4.327%4.33%8.780%8.78%15-1.000000x-1.000000x1.879134x1.879134x1.88x6.624%6.62%12.447%12.4%16-1.000000x-1.000000x1.780684x1.780684x1.78x2.966%2.97%5.282%5.28%17-1.000000x-1.000000x1.690009x1.690009x1.69x6.918%6.92%11.692%11.7%18-1.000000x-1.000000x1.509804x1.509804x1.51x18.182%18.2%27.451%27.5%19-1.000000x-1.000000x1.497326x1.497326x1.50x7.237%7.24%10.836%10.8%20-1.000000x-1.000000x1.480769x1.480769x1.48x12.381%12.4%18.333%18.3%21-1.000000x-1.000000x1.439272x1.439272x1.44x8.246%8.25%11.868%11.9%-1.000000x-1.000000x1.416129x1.416129x1.42x2.289%2.29%3.241%3.24%22-1.000000x-1.000000x1.411467x1.411467x1.41x6.986%6.99%9.861%9.86%23-1.000000x-1.000000x1.409131x1.409131x1.41x4.746%4.75%6.687%6.69%24-1.000000x-1.000000x1.398107x1.398107x1.40x16.245%16.2%22.713%22.7%25-1.000000x-1.000000x1.369369x1.369369x1.37x8.882%8.88%12.162%12.2%26-1.000000x-1.000000x1.337461x1.337461x1.34x6.481%6.48%8.669%8.67%27-1.000000x-1.000000x1.267677x1.267677x1.27x7.171%7.17%9.091%9.09%28-1.000000x-1.000000x1.266763x1.266763x1.27x7.570%7.57%9.589%9.59%29-1.000000x-1.000000x1.261571x1.261571x1.26x10.316%10.3%13.015%13.0%30-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.210693x1.210693x1.21x12.261%12.3%14.844%14.8%31-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.167315x1.167315x1.17x4.000%4.00%4.669%4.67%32-1.000000x-1.000000x1.160950x1.160950x1.16x5.000%5.00%5.805%5.80%33-1.000000x-1.000000x1.159091x1.159091x1.16x15.686%15.7%18.182%18.2%34-1.000000x-1.000000x1.137963x1.137963x1.14x5.049%5.05%5.746%5.75%35-1.000000x-1.000000x1.131941x1.131941x1.13x20.217%20.2%22.884%22.9%36-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%37-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.021379x-1.021379x1.02x1.000000x1.000000x4.938%4.94%4.835%4.83%38-1.062201x-1.062201x1.06x1.000000x1.000000x2.392%2.39%2.252%2.25%39-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%40-1.084465x-1.084465x1.08x1.000000x1.000000x28.037%28.0%25.854%25.9%41-1.086037x-1.086037x1.09x1.000000x1.000000x7.475%7.47%6.883%6.88%42-1.234698x-1.234698x1.23x1.000000x1.000000x12.621%12.6%10.222%10.2%43-1.252575x-1.252575x1.25x1.000000x1.000000x5.830%5.83%4.654%4.65%44-1.255319x-1.255319x1.26x1.000000x1.000000x33.333%33.3%26.554%26.6%45-1.437961x-1.437961x1.44x1.000000x1.000000x13.196%13.2%9.177%9.18%46-1.500647x-1.500647x1.50x1.000000x1.000000x7.762%7.76%5.172%5.17%47-1.784110x-1.784110x1.78x1.000000x1.000000x7.540%7.54%4.226%4.23%48-2.064636x-2.064636x2.06x1.000000x1.000000x8.282%8.28%4.011%4.01%49-2.480658x-2.480658x2.48x1.000000x1.000000x16.296%16.3%6.569%6.57%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 the Town of Wausau, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Wausau
Female
Male
10x5x0x5x10xFM#SchofieldTown of TexasBeventEastonMarathonEau PleineColbyBergenMosineeRib MtnZIP 54403McMillanWausauWestonSpencerTown of ReidEast North CentralMidwestWisconsinUnited StatesStettinRothschildWausau AreaMarathonWestonMaineTown of HullNorriePloverMarshfieldElderonMarathon CityEdgarTown of EmmetHoltonAthensKnowltonMosineeStratfordTown of DayRingleKronenwetterRietbrockClevelandRib FallsWausauSpencerJohnsonHamburgBerlinTown of WienTown of BernHalseyHewittFrankfort-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.653%2.65%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.952%0.95%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.885%2.88%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.188%1.19%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.740%2.74%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.761%1.76%8-1.000000x-1.000000x6.311321x6.311321x6.31x0.299%0.30%1.887%1.89%9-1.000000x-1.000000x2.125840x2.125840x2.13x4.798%4.80%10.199%10.2%10-1.000000x-1.000000x2.061283x2.061283x2.06x1.919%1.92%3.956%3.96%-1.000000x-1.000000x2.020543x2.020543x2.02x6.695%6.70%13.528%13.5%11-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%12-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%13-1.000000x-1.000000x1.843636x1.843636x1.84x1.183%1.18%2.182%2.18%14-1.000000x-1.000000x1.727848x1.727848x1.73x0.855%0.85%1.477%1.48%15-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.477927x1.477927x1.48x3.919%3.92%5.792%5.79%16-1.000000x-1.000000x1.465368x1.465368x1.47x0.848%0.85%1.243%1.24%17-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.385628x1.385628x1.39x1.135%1.13%1.572%1.57%18-1.000000x-1.000000x1.379717x1.379717x1.38x2.222%2.22%3.066%3.07%19-1.000000x-1.000000x1.373333x1.373333x1.37x0.971%0.97%1.333%1.33%20-1.000000x-1.000000x1.270408x1.270408x1.27x1.205%1.20%1.531%1.53%21-1.000000x-1.000000x1.263158x1.263158x1.26x0.962%0.96%1.215%1.21%22-1.000000x-1.000000x1.149635x1.149635x1.15x11.111%11.1%12.774%12.8%23-1.000000x-1.000000x1.014634x1.014634x1.01x0.962%0.96%0.976%0.98%24-1.000000x-1.000000x1.002024x1.002024x1.00x2.424%2.42%2.429%2.43%25-1.060010x-1.060010x1.06x1.000000x1.000000x1.793%1.79%1.691%1.69%26-1.062500x-1.062500x1.06x1.000000x1.000000x0.658%0.66%0.619%0.62%27-1.151625x-1.151625x1.15x1.000000x1.000000x0.722%0.72%0.627%0.63%28-1.544477x-1.544477x1.54x1.000000x1.000000x1.466%1.47%0.949%0.95%29-1.640693x-1.640693x1.64x1.000000x1.000000x3.030%3.03%1.847%1.85%30-1.749812x-1.749812x1.75x1.000000x1.000000x2.035%2.03%1.163%1.16%31-1.787826x-1.787826x1.79x1.000000x1.000000x1.043%1.04%0.584%0.58%32-1.825658x-1.825658x1.83x1.000000x1.000000x1.974%1.97%1.081%1.08%33-1.998023x-1.998023x2.00x1.000000x1.000000x1.864%1.86%0.933%0.93%34-2.040666x-2.040666x2.04x1.000000x1.000000x2.229%2.23%1.092%1.09%35-3.489198x-3.489198x3.49x1.000000x1.000000x2.160%2.16%0.619%0.62%36-4.232000x-4.232000x4.23x1.000000x1.000000x2.400%2.40%0.567%0.57%37-4.237288x-4.237288x4.24x1.000000x1.000000x2.260%2.26%0.533%0.53%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.256%2.26%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.201%2.20%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.722%0.72%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.325%1.32%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.840%1.84%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.137%3.14%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.467%0.47%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.515%1.52%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.766%0.77%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.463%2.46%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares the Town of Wausau to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Wausau. 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 the Town of Wausau, selected other county subdivisions in Wisconsin, and entities that contain the Town of Wausau
0%5%10%15%Count#BeloitRacineMilwaukeeTown of WausauWausauUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisZIP Code 54403ZIP 54403OshkoshBeaver DamSouth MilwaukeeS MilwaukeeWausau Metro AreaWausau AreaMarathon CountyMarathonMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.610315%13.610315%13.6%28513.020590%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%4,3991010.024422%10.024422%10.0%1,7659.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.829004%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%1,421375.227570%5.227570%5.2%719384.888290%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 the Town of Wausau, selected other county subdivisions in Wisconsin, and entities that contain the Town of Wausau
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonZIP Code 54403ZIP 54403WausauOshkoshGreen BayWest AllisWausau Metro AreaWausau AreaMarathon CountyMarathonFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin RapidsTown of WausauWausau63.254765%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%4,4371635.139073%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%6,2272132.464907%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%7,7982630.315023%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%3,1783326.381553%26.381553%26.4%4,64525.519199%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%10,51910.5k3723.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.606692%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%2,0035014.899713%14.899713%14.9%312
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 the Town of Wausau, selected other county subdivisions in Wisconsin, and entities that contain the Town of Wausau
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownZIP Code 54403ZIP 54403MidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWausau Metro AreaWausau AreaMarathon CountyMarathonWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocTown of WausauWausauSouth 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%574114.222683%4.222683%4.2%468123.762039%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%412192.919293%2.919293%2.9%5142.893416%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%298292.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.192214%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%264471.050621%1.050621%1.1%220.893036%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 the Town of Wausau, selected other county subdivisions in Wisconsin, and entities that contain the Town of Wausau
Female
Male
0x2x4x6x8xFM#WausauDe PereMenashaOshkoshFranklinCaledoniaZIP 54403ManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownWausau AreaMarathonMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x8.679625x8.679625x8.68x2.667%2.67%23.146%23.1%-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-1.000000x1.439272x1.439272x1.44x8.246%8.25%11.868%11.9%-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-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%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%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-1.000000x1.077248x1.077248x1.08x4.329%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%40-1.016031x-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 the Town of Wausau, selected other county subdivisions in Wisconsin, and entities that contain the Town of Wausau
Female
Male
10x5x0xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamZIP 54403BrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonWausau AreaMarathonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenonWausau-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%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-1.000000x2.061283x2.061283x2.06x1.919%1.92%3.956%3.96%-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-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%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-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.256%2.26%0.000%0%
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 the Town of Wausau to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Town of Wausau. 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 the Town of Wausau, selected other county subdivisions in the Midwest, and entities that contain the Town of Wausau
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiTown of WausauWausauAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceZIP Code 54403ZIP 54403Sioux FallsWausau Metro AreaWausau AreaMarathon CountyMarathonWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners 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%26,28626.3k1813.610315%13.610315%13.6%28513.591726%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%8,1613310.024422%10.024422%10.0%1,7659.702326%9.702326%9.7%9,123348.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.637220%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%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%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 the Town of Wausau, selected other county subdivisions in the Midwest, and entities that contain the Town of Wausau
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldZIP Code 54403ZIP 54403Proviso TownshipProvisoWorth TownshipWorthWausau Metro AreaWausau AreaMarathon CountyMarathonMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipTown of WausauWausauDetroit72.810169%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%28,78028.8k2134.685843%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%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%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%27,92127.9k3326.381553%26.381553%26.4%4,64526.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.517740%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%16,95117.0k4914.899713%14.899713%14.9%31213.833543%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 the Town of Wausau, selected other county subdivisions in the Midwest, and entities that contain the Town of Wausau
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceZIP Code 54403ZIP 54403Springfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoWausau Metro AreaWausau AreaMarathon CountyMarathonAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneTown of WausauWausauWarrenBlue 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%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%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%2,472252.919293%2.919293%2.9%5142.911721%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%2,281332.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.163955%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%1,040461.050621%1.050621%1.1%221.047058%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 the Town of Wausau, selected other county subdivisions in the Midwest, and entities that contain the Town of Wausau
Female
Male
0x2x4x6x8xFM#WausauZIP 54403Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonWausau AreaMarathonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x8.679625x8.679625x8.68x2.667%2.67%23.146%23.1%-1.000000x-1.000000x1.439272x1.439272x1.44x8.246%8.25%11.868%11.9%-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-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%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-1.000000x1.110589x1.110589x1.11x9.201%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-1.000000x1.078480x1.078480x1.08x14.031%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%42-1.031649x-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 the Town of Wausau, selected other county subdivisions in the Midwest, and entities that contain the Town of Wausau
Female
Male
10x5x0xFM#RockfordNZIP 54403DaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineWausau AreaMarathonSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonWausau-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-1.000000x2.061283x2.061283x2.06x1.919%1.92%3.956%3.96%-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-1.000000x1.627456x1.627456x1.63x3.304%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-1.000000x1.589934x1.589934x1.59x2.251%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-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.256%2.26%0.000%0%
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 the Town of Wausau to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Wausau. 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 the Town of Wausau, selected other county subdivisions in the United States, and entities that contain the Town of Wausau
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 VegasPhoenixBostonSacramentoOrlandoAustinDenverTown of WausauWausauUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonZIP Code 54403ZIP 54403AtlantaWausau Metro AreaWausau AreaMarathon CountyMarathonSeattleWisconsinNortheast TarrantNE TarrantPlanoSeattle East28.998944%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%63,86563.9k3113.610315%13.610315%13.6%28513.020590%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%46,51046.5k4510.024422%10.024422%10.0%1,7659.538552%9.538552%9.5%37,37337.4k468.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.833573%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%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
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 the Town of Wausau, selected other county subdivisions in the United States, and entities that contain the Town of Wausau
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioZIP Code 54403ZIP 54403PhiladelphiaMiamiFort WorthWausau Metro AreaWausau AreaMarathon CountyMarathonSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlTown of WausauWausauDetroit60.434640%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%669,666670k1734.685843%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%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%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%111,532112k3826.381553%26.381553%26.4%4,64526.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.764821%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%65,34165.3k4914.899713%14.899713%14.9%31213.833543%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 the Town of Wausau, selected other county subdivisions in the United States, and entities that contain the Town of Wausau
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodZIP Code 54403ZIP 54403MidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioWausau Metro AreaWausau AreaMarathon CountyMarathonFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitTown of WausauWausau12.461852%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%16,67916.7k154.485379%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%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%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%11,33911.3k332.919293%2.919293%2.9%5142.893416%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%9,688412.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.173239%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%5,693501.050621%1.050621%1.1%22
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 the Town of Wausau, selected other county subdivisions in the United States, and entities that contain the Town of Wausau
Female
Male
0x2x4x6x8xFM#WausauZIP 544031, CharlotteDetroitWisconsinWausau AreaMarathonBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x8.679625x8.679625x8.68x2.667%2.67%23.146%23.1%-1.000000x-1.000000x1.439272x1.439272x1.44x8.246%8.25%11.868%11.9%-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-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.109070x1.109070x1.11x12.369%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-1.000000x1.078150x1.078150x1.08x13.148%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%34-1.006471x-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 the Town of Wausau, selected other county subdivisions in the United States, and entities that contain the Town of Wausau
Female
Male
10x5x0xFM#El PasoZIP 54403Salt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyWausau AreaMarathonE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitWausau-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.061283x2.061283x2.06x1.919%1.92%3.956%3.96%-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-1.000000x1.621815x1.621815x1.62x3.429%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-1.000000x1.589934x1.589934x1.59x2.251%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-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.256%2.26%0.000%0%
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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Marathon
Metro Area:
Wausau Area
ZIP Code:
54403
Unified School Districts:
D.C. Everest, Wausau
Congressional District:
WI-7
State Senate District:
WI-29
Assembly District:
WI-85
Neighboring Cities:
Wausau
Neighboring Towns:
Easton, Hewitt, Ringle, Texas, Weston
Nearby Towns:
Pine River, Plover, Rib Mountain, Stettin