Educational Attainment in the Town of Texas, 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 Texas
Town of Texas
Marathon County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.007337%36.061155%30.007337%30.0%40960.528247%55.086902%60.528247%60.5%8259.464417%8.851943%9.464417%9.5%129
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 Texas
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-16.787644%-16.787644%-16.8%30.007%30.0%36.061%36.1%9.877746%9.877746%+9.9%60.528%60.5%55.087%55.1%6.919089%6.919089%+6.9%9.464%9.46%8.852%8.85%
% percentage with given level in the Town of Texas
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 Texas
Town of Texas
Marathon County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.524001%00.293470%1.673351%0.293470%0.3%43.154806%5.538664%3.154806%3.2%4312.399120%16.203045%12.399120%12.4%16914.159941%12.122094%14.159941%14.2%19319.295671%18.848924%19.295671%19.3%26341.232575%36.237978%41.232575%41.2%5626.089508%5.013585%6.089508%6.1%832.274395%2.548842%2.274395%2.3%311.100514%1.289516%1.100514%1.1%15
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 Texas
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.524%0.52%-82.462125%-82.462125%-82.5%0.293%0.29%1.673%1.67%-43.040314%-43.040314%-43.0%3.155%3.15%5.539%5.54%-23.476607%-23.476607%-23.5%12.399%12.4%16.203%16.2%16.811015%16.811015%+16.8%14.160%14.2%12.122%12.1%2.370148%2.370148%+2.4%19.296%19.3%18.849%18.8%13.782770%13.782770%+13.8%41.233%41.2%36.238%36.2%21.460157%21.460157%+21.5%6.090%6.09%5.014%5.01%-10.767529%-10.767529%-10.8%2.274%2.27%2.549%2.55%-14.656829%-14.656829%-14.7%1.101%1.10%1.290%1.29%
% percentage with given level in the Town of Texas
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 Texas
More Females More Males
Marathon County
Town of Texas
0%20%40%60%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-14.868510%-8.364389%-14.868510%15%32.233%32.2%28.061%28.1%-0.998320%-0.998320%1%2.430080%60.849%60.8%60.248%60.2%69.000875%19.467848%69.000875%69%6.918%6.92%11.692%11.7%
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 Texas
More Females More Males
Marathon County
Town of Texas
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%75.104791%1,000.000000%> 1000%0.000%0%0.550%0.55%-58.761356%-34.415678%-58.761356%59%3.931%3.93%2.476%2.48%-39.877110%-13.319965%-39.877110%40%14.623%14.6%10.454%10.5%-0.492212%6.588246%6.588246%7%13.679%13.7%14.580%14.6%-24.287461%-7.404261%-24.287461%24%21.541%21.5%17.331%17.3%9.178542%7.641824%9.178542%9%39.308%39.3%42.916%42.9%115.061898%31.639368%115.061898%115%3.774%3.77%8.116%8.12%-7.163915%-7.163915%7%5.494519%2.358%2.36%2.201%2.20%74.965612%5.096354%74.965612%75%0.786%0.79%1.376%1.38%
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 Texas
Town of Texas
Marathon County
0%5%10%15%20%B.X.Total65+45-6435-4425-349.294872%10.248807%9.294872%9.3%2931210.708402%14.511853%10.708402%10.7%6560719.672131%20.019519%19.672131%19.7%4824413.500000%24.240751%13.500000%13.5%27200
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 Texas
40%30%20%10%0%%ref.65+45-6435-4425-34-9.307768%-9.307768%9.3%9.295%9.29%10.249%10.2%-26.209271%-26.209271%26.2%10.708%10.7%14.512%14.5%-1.735247%-1.735247%1.7%19.672%19.7%20.020%20.0%-44.308656%-44.308656%44.3%13.500%13.5%24.241%24.2%
% percentage in the Town of Texas 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 Texas
More Females More Males
Marathon County
Town of Texas
100%50%0%FM65+45-6435-4425-34-0.800000%-0.800000%0.8%27.423332%9.333%9.33%9.259%9.26%-60.067814%-18.686778%-60.067814%60.1%13.380%13.4%8.359%8.36%-32.712551%-25.824748%-32.712551%32.7%23.158%23.2%17.450%17.4%-106.425234%-29.431058%-106.425234%106.4%17.757%17.8%8.602%8.60%
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 Texas
Town of Texas
Marathon County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$45,417.000000$64,007.000000$45,417.000000$45.4k473.448%3.45%$51,705.000000$44,887.000000$51,705.000000$51.7k16912.399%12.4%$35,577.000000$34,077.000000$35,577.000000$35.6k45633.456%33.5%$33,417.000000$30,984.000000$33,417.000000$33.4k56241.233%41.2%$40,313.000000$23,431.000000$40,313.000000$40.3k1299.464%9.46%$35,804.000000$35,578.000000$35,804.000000$35.8k1,363100.000%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 Texas
Female Male
Marathon County
Town of Texas
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40k$60kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-30,625.000000$-39,644.000000$-30,625.000000$30.6k$30,625.000000$35,000.000000$39,644.000000$14,012.000000$65,625.000000$65.6k9376$-30,750.000000$-27,969.000000$-30,750.000000$30.8k$30,750.000000$12,583.000000$27,969.000000$14,619.000000$43,333.000000$43.3k224232$-33,068.000000$-1,307.000000$-25,425.000000$-34,375.000000$34.4k$33,068.000000$25,425.000000$10,487.000000$33,068.000000$33.1k250312$-31,898.000000$-30,478.000000$-31,898.000000$31.9k$31,898.000000$9,290.000000$30,478.000000$10,883.000000$41,188.000000$41.2k636727
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 Texas
Town of Texas
Marathon County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma380.346821%86.947640%80.346821%80.3%13980.382775%82.383610%80.382775%80.4%33680.506329%78.967930%80.506329%80.5%31892.307692%56.261920%92.307692%92.3%60
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 Texas
Female Male
Marathon County
Town of Texas
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Other1-6.973059%-6.531413%-6.973059%7.0%6.973059%4.767273%6.531413%1.590700%11.740331%11.7%8544-0.000000%-20.000000%-6.332288%0.000000%0.0%0.000000%0.000000%20.000000%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Marathon County and the Town of Texas
Female Male
Marathon County
Town of Texas
Shaded bar tips show excess over facing bar.
50%0%50%100%MFWhite1Other1-13.121547%-5.103493%-23.280733%-2.468371%-18.225040%18.2%13.121547%23.280733%13.121547%13.1%95115-60.000000%-16.181818%-11.090909%-60.000000%60.0%60.000000%40.000000%16.181818%100.000000%100.0%33
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Wausau Area

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

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Texas, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Texas
0%10%20%30%Count#ColbyAbbotsfordTown of BernTown of HalseyHalseyTown of HoltonHoltonTown of JohnsonJohnsonTown of WienTown of BeventBeventTown of WausauWausauTown of HewittHewittUnited States of AmericaUnited StatesTown of FrankfortFrankfortTown of HamburgHamburgSpencerTown of PloverPloverMarshfieldTown of HullAthensWausauEast North CentralTown of DayMidwestTown of ReidTown of TexasTown of ClevelandClevelandWausau School DistrictWausauTown of EmmetWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MarathonMarathonTown of Eau PleineEau PleineWisconsinWestonEdgarTown of RietbrockRietbrockTown of SpencerSpencerMarathon City001500Tract 001500Town of ElderonElderonSchofieldRothschildTown of BerlinBerlinTown of RingleRingleTown of EastonEastonTown of KnowltonKnowltonMosineeTown of MosineeMosineeMaineTown of Rib FallsRib FallsTown of McMillanMcMillanTown of CasselCasselStratfordTown of BergenBergenKronenwetterTown of StettinStettinTown of NorrieNorrieTown of Rib MountainRib MtnTown of WestonWeston31.154684%31.154684%31.2%143130.303030%30.303030%30.3%120226.968974%26.968974%27.0%113322.885572%22.885572%22.9%92421.644295%21.644295%21.6%129519.696970%19.696970%19.7%117616.901408%16.901408%16.9%84715.357143%15.357143%15.4%129813.610315%13.610315%13.6%285913.539652%13.539652%13.5%701013.020590%13.020590%13.0%27,818,38027.8M11.805556%11.805556%11.8%511111.680000%11.680000%11.7%731211.544228%11.544228%11.5%1541311.428571%11.428571%11.4%521411.397059%11.397059%11.4%621511.368910%11.368910%11.4%491611.263318%11.263318%11.3%741710.776184%10.776184%10.8%2,8851810.719464%10.719464%10.7%3,363,7843.36M10.682493%10.682493%10.7%721910.244520%10.244520%10.2%4,641,8354.64M9.554140%9.554140%9.6%90209.464417%9.464417%9.5%129219.426628%9.426628%9.4%97229.395742%9.395742%9.4%3,5539.090909%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%71306.810846%6.810846%6.8%2116.537530%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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Texas, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Texas
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 KnowltonKnowltonWausau School DistrictWausauWestonTown of RingleRingleWausauMosineeWausau Metro AreaWausau AreaMarathon CountyMarathon001500Tract 001500Town 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%3781026.637578%26.637578%26.6%10,07310.1k26.043136%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%22,20322.2k23.854099%23.854099%23.9%73923.224044%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#17

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 Texas, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Texas
0%5%10%Count#MarshfieldTown of McMillanMcMillanTown of Rib MountainRib MtnTown of StettinStettinTown of WestonWestonUnited States of AmericaUnited StatesWausau School DistrictWausauMidwestEast North CentralWisconsinMaineMarathon CityWausauTown of KnowltonKnowltonWausau Metro AreaWausau AreaMarathon CountyMarathonEdgarTown of SpencerSpencerKronenwetterTown of WienMosineeTown of EastonEaston001500Tract 001500Town 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%7,127,6737.13M2.940632%2.940632%2.9%1,1122.893416%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%12151.517108%1.517108%1.5%471.483680%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#18

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 Texas, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Texas
Female
Male
2x0x2x4x6x8xFM#WausauMarathonStettinNorrieFrankfortEastonPloverClevelandRib FallsMcMillanKronenwetterHamburgSpencerCasselElderonTown of ReidBergenTown of TexasTract 001500HalseyTown of EmmetBeventRib MtnWestonRingleJohnsonTown of DayRietbrockEdgarEau PleineSpencerWisconsinHewittWausau AreaMarathonStratfordKnowltonTown of WienMosineeHoltonMidwestEast North CentralColbyUnited StatesWausauMaineWestonWausauTown 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-1.000000x1.550275x1.550275x1.55x5.298%5.30%8.214%8.21%-1.000000x-1.000000x1.509804x1.509804x1.51x18.182%18.2%27.451%27.5%19-1.000000x-1.000000x1.497326x1.497326x1.50x7.237%7.24%10.836%10.8%20-1.000000x-1.000000x1.480769x1.480769x1.48x12.381%12.4%18.333%18.3%21-1.000000x-1.000000x1.416129x1.416129x1.42x2.289%2.29%3.241%3.24%22-1.000000x-1.000000x1.411467x1.411467x1.41x6.986%6.99%9.861%9.86%23-1.000000x-1.000000x1.409131x1.409131x1.41x4.746%4.75%6.687%6.69%24-1.000000x-1.000000x1.398107x1.398107x1.40x16.245%16.2%22.713%22.7%25-1.000000x-1.000000x1.369369x1.369369x1.37x8.882%8.88%12.162%12.2%26-1.000000x-1.000000x1.337461x1.337461x1.34x6.481%6.48%8.669%8.67%27-1.000000x-1.000000x1.267677x1.267677x1.27x7.171%7.17%9.091%9.09%28-1.000000x-1.000000x1.266763x1.266763x1.27x7.570%7.57%9.589%9.59%29-1.000000x-1.000000x1.261571x1.261571x1.26x10.316%10.3%13.015%13.0%30-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.210693x1.210693x1.21x12.261%12.3%14.844%14.8%31-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.167315x1.167315x1.17x4.000%4.00%4.669%4.67%32-1.000000x-1.000000x1.160950x1.160950x1.16x5.000%5.00%5.805%5.80%33-1.000000x-1.000000x1.159091x1.159091x1.16x15.686%15.7%18.182%18.2%34-1.000000x-1.000000x1.137963x1.137963x1.14x5.049%5.05%5.746%5.75%35-1.000000x-1.000000x1.131941x1.131941x1.13x20.217%20.2%22.884%22.9%36-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%37-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.046092x1.046092x1.05x9.188%9.19%9.611%9.61%-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#19

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 Texas, selected other county subdivisions in the Wausau Area, and entities that contain the Town of Texas
Female
Male
10x5x0x5x10xFM#SchofieldTown of TexasBeventEastonMarathonEau PleineColbyBergenMosineeRib MtnMcMillanWausauWestonSpencerTown of ReidWausauEast North CentralMidwestWisconsinUnited StatesStettinRothschildWausau AreaMarathonWestonMaineTown of HullNorriePloverMarshfieldTract 001500ElderonMarathon CityEdgarTown of EmmetHoltonAthensKnowltonMosineeStratfordTown of DayRingleKronenwetterRietbrockClevelandRib FallsWausauSpencerJohnsonHamburgBerlinTown of WienTown of BernHalseyHewittFrankfort-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.653%2.65%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.952%0.95%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.885%2.88%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.188%1.19%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.740%2.74%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.761%1.76%8-1.000000x-1.000000x6.311321x6.311321x6.31x0.299%0.30%1.887%1.89%9-1.000000x-1.000000x2.125840x2.125840x2.13x4.798%4.80%10.199%10.2%10-1.000000x-1.000000x2.020543x2.020543x2.02x6.695%6.70%13.528%13.5%11-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%12-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%13-1.000000x-1.000000x1.843636x1.843636x1.84x1.183%1.18%2.182%2.18%14-1.000000x-1.000000x1.727848x1.727848x1.73x0.855%0.85%1.477%1.48%15-1.000000x-1.000000x1.707147x1.707147x1.71x2.183%2.18%3.726%3.73%-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-1.000000x1.148724x1.148724x1.15x1.408%1.41%1.618%1.62%-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 Texas to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Texas. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Texas, selected other county subdivisions in Wisconsin, and entities that contain the Town of Texas
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamTown of TexasWausau School DistrictWausauSouth MilwaukeeS MilwaukeeWausau Metro AreaWausau AreaMarathon CountyMarathonMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin Rapids001500Tract 001500CaledoniaWest 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%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.464417%9.464417%9.5%1299.395742%9.395742%9.4%3,5539.190270%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%889266.810846%6.810846%6.8%2116.746719%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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Texas, selected other county subdivisions in Wisconsin, and entities that contain the Town of Texas
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 BendWausau School DistrictWausauAshwaubenonWausauOshkoshGreen BayWest AllisWausau Metro AreaWausau AreaMarathon CountyMarathon001500Tract 001500Fond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin RapidsTown of Texas63.254765%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%5,8943226.637578%26.637578%26.6%10,07310.1k26.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.854099%23.854099%23.9%73923.606692%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%2,0035015.847395%15.847395%15.8%216
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#22

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 Texas, selected other county subdivisions in Wisconsin, and entities that contain the Town of Texas
0%2%4%6%8%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownWausau School DistrictWausauMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWausau Metro AreaWausau AreaMarathon CountyMarathonWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperior001500Tract 001500Fond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenonTown of Texas11.084724%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%412192.940632%2.940632%2.9%1,1122.893416%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%277401.517108%1.517108%1.5%471.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%94500.293470%0.293470%0.3%4
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#23

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 Texas, selected other county subdivisions in Wisconsin, and entities that contain the Town of Texas
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshTown of TexasFranklinTract 001500CaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownWausau AreaMarathonMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldWausauMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.690009x1.690009x1.69x6.918%6.92%11.692%11.7%-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.550275x1.550275x1.55x5.298%5.30%8.214%8.21%-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%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-1.000000x1.046092x1.046092x1.05x9.188%9.19%9.611%9.61%-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#24

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 Texas, selected other county subdivisions in Wisconsin, and entities that contain the Town of Texas
Female
Male
0x5x10xFM#Town of TexasNeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacWausauNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonWausau AreaMarathonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaTract 001500OconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%-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-1.000000x2.050517x2.050517x2.05x6.177%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-1.000000x1.707147x1.707147x1.71x2.183%2.18%3.726%3.73%-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-1.000000x1.148724x1.148724x1.15x1.408%1.41%1.618%1.62%-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Texas, selected other county subdivisions in the Midwest, and entities that contain the Town of Texas
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsTown of TexasWausau School DistrictWausauWausau Metro AreaWausau AreaMarathon CountyMarathonWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincoln001500Tract 001500Washington 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%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.464417%9.464417%9.5%1299.395742%9.395742%9.4%3,5538.851943%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%11,88611.9k396.810846%6.810846%6.8%2116.804680%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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Texas, selected other county subdivisions in the Midwest, and entities that contain the Town of Texas
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 TownshipSpringfieldWausau School DistrictWausauProviso TownshipProvisoWorth TownshipWorthWausau Metro AreaWausau AreaMarathon CountyMarathon001500Tract 001500MilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraTown of TexasBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%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%27,92127.9k3326.637578%26.637578%26.6%10,07310.1k26.237989%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%22,20322.2k23.854099%23.854099%23.9%73923.517740%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%14,19214.2k4815.847395%15.847395%15.8%21615.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

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 Texas, selected other county subdivisions in the Midwest, and entities that contain the Town of Texas
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 TownshipLawrenceWausau School DistrictWausauSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoWausau Metro AreaWausau AreaMarathon CountyMarathonAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipN001500Tract 001500Sterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonTown of Texas17.877867%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%2,472252.940632%2.940632%2.9%1,1122.911721%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%1,606411.517108%1.517108%1.5%471.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.293470%0.293470%0.3%4
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#28

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 Texas, selected other county subdivisions in the Midwest, and entities that contain the Town of Texas
Female
Male
1x0x1xFM#Town of TexasTract 001500Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonWausau AreaMarathonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandWausauPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.690009x1.690009x1.69x6.918%6.92%11.692%11.7%-1.000000x-1.000000x1.550275x1.550275x1.55x5.298%5.30%8.214%8.21%-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-1.000000x1.046092x1.046092x1.05x9.188%9.19%9.611%9.61%-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#29

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 Texas, selected other county subdivisions in the Midwest, and entities that contain the Town of Texas
Female
Male
0x5x10xFM#Town of TexasRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkWausauMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineWausau AreaMarathonSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrTract 001500ToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.707147x1.707147x1.71x2.183%2.18%3.726%3.73%-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-1.000000x1.148724x1.148724x1.15x1.408%1.41%1.618%1.62%-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Texas, selected other county subdivisions in the United States, and entities that contain the Town of Texas
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaTown of TexasWausau School DistrictWausauWausau Metro AreaWausau AreaMarathon CountyMarathonSeattleWisconsinNortheast TarrantNE Tarrant001500Tract 001500PlanoSeattle 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%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.464417%9.464417%9.5%1299.395742%9.395742%9.4%3,5538.851943%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%31,44331.4k486.810846%6.810846%6.8%2115.714681%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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Texas, selected other county subdivisions in the United States, and entities that contain the Town of Texas
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 VlyOntarioWausau School DistrictWausauPhiladelphiaMiamiFort WorthWausau Metro AreaWausau AreaMarathon CountyMarathon001500Tract 001500Southwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoTown of TexasSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%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%111,532112k3826.637578%26.637578%26.6%10,07310.1k26.349720%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%22,20322.2k23.854099%23.854099%23.9%73923.764821%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%80,59580.6k4815.847395%15.847395%15.8%21614.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

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 Texas, selected other county subdivisions in the United States, and entities that contain the Town of Texas
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-LakewoodWausau School DistrictWausauMidwestOrlandoEast 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 DallasBronx001500Tract 001500DetroitTown of Texas12.461852%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%11,33911.3k332.940632%2.940632%2.9%1,1122.893416%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%15,06415.1k491.517108%1.517108%1.5%471.318660%1.318660%1.3%5,693500.293470%0.293470%0.3%4
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#33

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 Texas, selected other county subdivisions in the United States, and entities that contain the Town of Texas
Female
Male
1x0x1xFM#Town of TexasTract 0015001, CharlotteDetroitWisconsinWausau AreaMarathonBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverWausauNE 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-1.000000x1.690009x1.690009x1.69x6.918%6.92%11.692%11.7%-1.000000x-1.000000x1.550275x1.550275x1.55x5.298%5.30%8.214%8.21%-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-1.000000x1.046092x1.046092x1.05x9.188%9.19%9.611%9.61%-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#34

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 Texas, selected other county subdivisions in the United States, and entities that contain the Town of Texas
Female
Male
0x5x10xFM#Town of TexasEl PasoSalt Lk CityPlanoTulsaAlbuquerqueWausauNE 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-LakewoodTract 001500DenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.707147x1.707147x1.71x2.183%2.18%3.726%3.73%-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-1.000000x1.148724x1.148724x1.15x1.408%1.41%1.618%1.62%-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Marathon
Metro Area:
Wausau Area
ZIP Codes:
54401, 54403, 54452
Unified School District:
Wausau
Congressional District:
WI-7
State Senate District:
WI-29
Assembly District:
WI-86
Neighboring Cities:
Wausau
Neighboring Towns:
Easton, Hewitt, Pine River, Scott, Wausau
Neighboring Villages:
Brokaw, Maine
Nearby Towns:
Ackley, Berlin, Harrison, Merrill, Schley, Stettin, Weston