Educational Attainment in Appleton, Calumet County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Calumet County and Appleton
Appleton
Calumet County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma245.156775%40.497186%45.156775%45.2%3,22645.828667%52.141331%45.828667%45.8%3,2749.014558%7.361483%9.014558%9.0%644
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 Calumet County at large.
Scope: population of Calumet County and Appleton
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma211.505957%11.505957%+11.5%45.157%45.2%40.497%40.5%-12.106832%-12.106832%-12.1%45.829%45.8%52.141%52.1%22.455727%22.455727%+22.5%9.015%9.01%7.361%7.36%
% percentage with given level in Appleton
ref. percentage with given level in Calumet 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 Calumet County and Appleton
Appleton
Calumet County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.797872%0.478526%0.797872%0.8%571.133819%0.911909%1.133819%1.1%814.549272%5.507569%4.549272%4.5%32526.245801%21.804557%26.245801%26.2%1,87512.430011%11.794625%12.430011%12.4%88820.548712%19.875403%20.548712%20.5%1,46825.279955%32.265928%25.279955%25.3%1,8064.423292%4.454209%4.423292%4.4%3161.413774%1.730520%1.413774%1.4%1013.177492%1.176754%3.177492%3.2%227
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 Calumet County at large.
Scope: population of Calumet County and Appleton
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None66.735247%66.735247%+66.7%0.798%0.80%0.479%0.48%24.334621%24.334621%+24.3%1.134%1.13%0.912%0.91%-17.399637%-17.399637%-17.4%4.549%4.55%5.508%5.51%20.368422%20.368422%+20.4%26.246%26.2%21.805%21.8%5.387084%5.387084%+5.4%12.430%12.4%11.795%11.8%3.387653%3.387653%+3.4%20.549%20.5%19.875%19.9%-21.651239%-21.651239%-21.7%25.280%25.3%32.266%32.3%-0.694100%-0.694100%-0.7%4.423%4.42%4.454%4.45%-18.303544%-18.303544%-18.3%1.414%1.41%1.731%1.73%170.021773%170.021773%+170.0%3.177%3.18%1.177%1.18%
% percentage with given level in Appleton
ref. percentage with given level in Calumet 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 Calumet County and Appleton
More Females More Males
Calumet County
Appleton
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-9.071586%-12.256903%-9.071586%9%47.105%47.1%43.187%43.2%-0.346891%-0.346891%0%6.575760%45.908%45.9%45.749%45.7%58.336923%20.243235%58.336923%58%6.988%6.99%11.064%11.1%
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 Calumet County and Appleton
More Females More Males
Calumet County
Appleton
100%0%100%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None159.135698%72.424261%159.135698%159%0.445%0.45%1.154%1.15%229.990517%61.725114%229.990517%230%0.529%0.53%1.745%1.75%-22.755549%-31.735901%-22.755549%23%5.011%5.01%4.082%4.08%-11.569916%-16.470817%-11.569916%12%27.673%27.7%24.803%24.8%-17.931205%-4.669397%-17.931205%18%13.447%13.4%11.402%11.4%-25.827605%-12.880899%-25.827605%26%22.884%22.9%18.187%18.2%19.712790%19.452143%19.712790%20%23.023%23.0%27.562%27.6%115.268486%40.718743%115.268486%115%2.812%2.81%6.053%6.05%-103.765945%-94.560946%-103.765945%104%1.893%1.89%0.929%0.93%78.820589%135.359116%78.820589%79%2.283%2.28%4.082%4.08%
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 Calumet County and Appleton
Appleton
Calumet County
0%5%10%15%20%25%30%35%B.X.Total65+45-6435-4425-3414.457831%12.070025%14.457831%14.5%14499626.014029%20.429519%26.014029%26.0%8533,27923.962804%27.512992%23.962804%24.0%3351,39836.913664%30.210860%36.913664%36.9%5431,471
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 Calumet County at large.
Scope: population of Calumet County and Appleton
10%0%10%20%%ref.65+45-6435-4425-3419.782949%19.782949%19.8%14.458%14.5%12.070%12.1%27.335492%27.335492%27.3%26.014%26.0%20.430%20.4%-12.903678%-12.903678%12.9%23.963%24.0%27.513%27.5%22.186736%22.186736%22.2%36.914%36.9%30.211%30.2%
% percentage in Appleton with a Bachelor's degree
ref percentage in Calumet 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 Calumet County and Appleton
More Females More Males
Calumet County
Appleton
40%30%20%10%0%10%20%FM65+45-6435-4425-34-9.591477%25.432215%25.432215%25.4%13.012%13.0%16.322%16.3%-23.860917%-1.072724%-23.860917%23.9%28.808%28.8%23.259%23.3%-19.024669%-40.605598%-19.024669%19.0%26.031%26.0%21.871%21.9%-8.132951%-33.000993%-8.132951%8.1%38.429%38.4%35.538%35.5%
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 Calumet County and Appleton
Appleton
Calumet County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$56,081.000000$61,956.000000$56,081.000000$56.1k4636.481%6.48%$48,669.000000$53,836.000000$48,669.000000$48.7k1,87526.246%26.2%$40,657.000000$39,441.000000$40,657.000000$40.7k2,35632.979%33.0%$31,903.000000$36,382.000000$31,903.000000$31.9k1,80625.280%25.3%$29,716.000000$31,268.000000$29,716.000000$29.7k6449.015%9.01%$39,873.000000$41,626.000000$39,873.000000$39.9k7,144100.000%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 Calumet County and Appleton
Female Male
Calumet County
Appleton
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-53,854.000000$-53,750.000000$-53,854.000000$53.9k$53,854.000000$13,834.000000$53,750.000000$19,453.000000$67,688.000000$67.7k215248$-41,275.000000$-43,967.000000$-41,275.000000$41.3k$41,275.000000$16,053.000000$43,967.000000$21,443.000000$57,328.000000$57.3k994881$-30,352.000000$-29,316.000000$-30,352.000000$30.4k$30,352.000000$16,612.000000$29,316.000000$19,597.000000$46,964.000000$47.0k1,3051,051$-25,508.000000$-25,557.000000$-25,508.000000$25.5k$25,508.000000$12,144.000000$25,557.000000$17,505.000000$37,652.000000$37.7k827979$-32,476.000000$-32,332.000000$-32,476.000000$32.5k$32,476.000000$14,034.000000$32,332.000000$18,265.000000$46,510.000000$46.5k3,5923,552
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 Calumet County and Appleton
Appleton
Calumet County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.052356%90.474479%90.052356%90.1%1,89285.434995%87.113514%85.434995%85.4%1,74875.071225%79.742931%75.071225%75.1%1,05481.574539%71.471247%81.574539%81.6%487
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 Calumet County and Appleton
Female Male
Calumet County
Appleton
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-1.906578%-5.433066%-1.906578%1.9%1.906578%2.871017%5.433066%1.001683%4.777595%4.8%14560-0.000000%-0.000000%0.000000%0.0%0.000000%53.571429%0.000000%37.974684%53.571429%53.6%300-60.126582%-37.358491%-60.126582%60.1%60.126582%2.003595%37.358491%2.264151%62.130178%62.1%10595-53.809524%-1.047619%-31.111111%-54.857143%54.9%53.809524%31.111111%14.908789%53.809524%53.8%11396-1.492537%-29.480914%-7.166124%-18.033876%-30.973451%31.0%1.492537%7.166124%1.492537%1.5%235
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 Calumet County and Appleton
Female Male
Calumet County
Appleton
Shaded bar tips show excess over facing bar.
40%20%0%20%MFWhite1BlackAsianHispanic2Other1-35.057661%-1.294421%-26.694204%-4.400622%-36.352081%36.4%35.057661%26.694204%35.057661%35.1%1,0641,144-19.642857%-22.023810%-29.113924%-10.568616%-41.666667%41.7%19.642857%29.113924%19.642857%19.6%1125-0.000000%-16.981132%0.000000%0.0%0.000000%3.550296%16.981132%17.358491%3.550296%3.6%60-2.285714%-15.920398%-6.301824%-2.285714%2.3%2.285714%7.238095%15.920398%9.523810%9.5%204-26.865672%-4.992735%-24.400000%-31.858407%31.9%26.865672%24.400000%1.007166%26.865672%26.9%3636
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 Appleton

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

Percentage of the population 25 years and older with given highest level of educational attainment
26%33%39%46%52%59%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
36.7%41.3%45.9%50.4%54.9%59.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.0%4.4%6.7%9.0%11.4%13.8%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.33%0.66%0.99%1.32%1.65%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%1.1%1.8%2.5%3.2%4.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.1%3.2%5.2%7.2%9.2%11.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
13.4%17.7%21.9%26.2%30.4%34.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.3%11.4%12.3%13.3%14.3%15.3%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
18.4%19.5%20.4%21.4%22.4%23.4%

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
18.0%21.7%25.3%28.9%32.5%36.1%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%1.9%3.2%4.5%5.8%7.1%

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%0.5%1.0%1.5%2.0%2.6%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.5%1.8%3.0%4.2%5.5%6.7%
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Educational Attainment by County Subdivision in the Appleton Area

There are 56 county subdivisions in the Appleton Area. This section compares Appleton to the 50 most populous county subdivisions in the Appleton Area and to those entities that contain or substantially overlap with Appleton. The least populous of the compared county subdivisions has a population of 334.

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 Appleton, selected other county subdivisions in the Appleton Area, and entities that contain Appleton
0%5%10%15%20%Count#Bear CreekNew HolsteinHilbertUnited States of AmericaUnited StatesTown of MaineTown of Deer CreekDeer CrkChiltonTown of CiceroCiceroEast North CentralMidwestTown of OneidaOneidaTown of SeymourSeymourShioctonAppletonTown of RantoulRantoulWisconsinSeymourTown of HortoniaHortoniaNew LondonTown of BrillionBrillionAppletonTown of Black CreekBlack CrkAppletonTown of StockbridgeStockbridgeCalumet CountyCalumetTown of BrothertownBrothertownTown of Grand ChuteGrand ChuteTown of LibertyLibertyTown of VandenbroekVandenbroekAppleton Metro AreaAppleton AreaKimberlyKielKaukaunaTown of ChiltonChiltonTown of WoodvilleWoodvilleTown of OsbornOsbornTown of New HolsteinNew HolsteinTown of BovinaBovinaTown of CharlestownCharlestownCombined LocksHarrisonTown of Maple CreekMaple CrkLittle ChuteBrillionHortonvilleBlack CreekTown of KaukaunaKaukaunaTown of EllingtonEllingtonTown of DaleTown of GreenvilleGreenvilleTown of BuchananBuchananStockbridgeTown of CenterCtrTown of FreedomFreedomMenashaSherwoodTown of HarrisonHarrison24.013158%24.013158%24.0%73116.414245%16.414245%16.4%401216.413793%16.413793%16.4%119313.020590%13.020590%13.0%27,818,38027.8M12.539683%12.539683%12.5%79412.259615%12.259615%12.3%51511.929308%11.929308%11.9%324611.818182%11.818182%11.8%91710.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.105478%10.105478%10.1%29789.644087%9.644087%9.6%8499.138840%9.138840%9.1%52109.014558%9.014558%9.0%644118.764940%8.764940%8.8%44128.637220%8.637220%8.6%336,096336k8.599168%8.599168%8.6%186138.396947%8.396947%8.4%66148.180840%8.180840%8.2%76158.051235%8.051235%8.1%88167.893747%7.893747%7.9%3,7777.742639%7.742639%7.7%71177.618904%7.618904%7.6%3,034187.424381%7.424381%7.4%81197.361483%7.361483%7.4%2,4467.345226%7.345226%7.3%70207.144208%7.144208%7.1%1,133216.849315%6.849315%6.8%40226.837607%6.837607%6.8%72236.661760%6.661760%6.7%10,31910.3k6.588486%6.588486%6.6%309246.451613%6.451613%6.5%14256.381127%6.381127%6.4%660266.338939%6.338939%6.3%49276.329114%6.329114%6.3%40285.797101%5.797101%5.8%44295.571031%5.571031%5.6%60305.555556%5.555556%5.6%44315.545287%5.545287%5.5%30325.371567%5.371567%5.4%133335.118859%5.118859%5.1%323345.116279%5.116279%5.1%22354.981969%4.981969%5.0%373364.526749%4.526749%4.5%88374.515050%4.515050%4.5%81384.176334%4.176334%4.2%36393.960396%3.960396%4.0%32403.674669%3.674669%3.7%75413.433923%3.433923%3.4%66423.185407%3.185407%3.2%234433.181721%3.181721%3.2%149442.968460%2.968460%3.0%16452.959060%2.959060%3.0%73462.575992%2.575992%2.6%100471.515152%1.515152%1.5%24480.625652%0.625652%0.6%12490.000000%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 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 Appleton, selected other county subdivisions in the Appleton Area, and entities that contain Appleton
0%10%20%30%40%Count#SherwoodHarrisonMenashaTown of HarrisonHarrisonTown of BuchananBuchananTown of GreenvilleGreenvilleAppletonAppletonTown of Grand ChuteGrand ChuteAppletonUnited States of AmericaUnited StatesMidwestCalumet CountyCalumetEast North CentralWisconsinAppleton Metro AreaAppleton AreaTown of CenterCtrTown of DaleTown of HortoniaHortoniaNew LondonKimberlyTown of FreedomFreedomHortonvilleTown of VandenbroekVandenbroekLittle ChuteStockbridgeSeymourTown of KaukaunaKaukaunaKaukaunaTown of ChiltonChiltonTown of EllingtonEllingtonBrillionTown of OsbornOsbornTown of StockbridgeStockbridgeNew HolsteinTown of CharlestownCharlestownTown of BrillionBrillionCombined LocksTown of LibertyLibertyTown of BrothertownBrothertownChiltonTown of New HolsteinNew HolsteinTown of BovinaBovinaBlack CreekTown of WoodvilleWoodvilleTown of RantoulRantoulTown of OneidaOneidaTown of Black CreekBlack CrkHilbertTown of CiceroCiceroShioctonTown of SeymourSeymourTown of Maple CreekMaple CrkTown of Deer CreekDeer CrkKielTown of MaineBear Creek47.288843%47.288843%47.3%907139.619651%39.619651%39.6%2,500239.141414%39.141414%39.1%620338.981043%38.981043%39.0%329438.372838%38.372838%38.4%1,797535.134767%35.134767%35.1%2,581632.726764%32.726764%32.7%2,338732.296218%32.296218%32.3%12,86112.9k832.202535%32.202535%32.2%5,107932.084936%32.084936%32.1%15,35215.4k30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.702561%28.702561%28.7%9,53728.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.982104%27.982104%28.0%43,34443.3k26.266721%26.266721%26.3%6481026.170656%26.170656%26.2%5031125.826972%25.826972%25.8%2031225.188375%25.188375%25.2%2341324.498934%24.498934%24.5%1,1491424.317362%24.317362%24.3%9441524.080268%24.080268%24.1%4321623.931624%23.931624%23.9%2521723.801256%23.801256%23.8%1,7821823.562152%23.562152%23.6%1271923.069810%23.069810%23.1%4992022.772277%22.772277%22.8%1842122.372619%22.372619%22.4%2,3142221.604140%21.604140%21.6%1672321.411073%21.411073%21.4%4372420.061728%20.061728%20.1%3902520.026350%20.026350%20.0%1522619.798350%19.798350%19.8%2162719.607041%19.607041%19.6%4792819.408503%19.408503%19.4%1052919.396157%19.396157%19.4%2123019.264943%19.264943%19.3%4773118.835616%18.835616%18.8%1103218.782791%18.782791%18.8%1793318.298969%18.298969%18.3%4973417.177344%17.177344%17.2%1853515.151515%15.151515%15.2%1203613.921114%13.921114%13.9%1203713.449367%13.449367%13.4%853813.346614%13.346614%13.3%673912.861518%12.861518%12.9%3784012.322792%12.322792%12.3%1134112.137931%12.137931%12.1%884211.428571%11.428571%11.4%884310.369069%10.369069%10.4%59449.184845%9.184845%9.2%80459.069767%9.069767%9.1%39467.211538%7.211538%7.2%30476.912442%6.912442%6.9%15486.190476%6.190476%6.2%39493.947368%3.947368%3.9%1250
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 Appleton, selected other county subdivisions in the Appleton Area, and entities that contain Appleton
0%1%2%3%Count#SherwoodUnited States of AmericaUnited StatesMenashaMidwestEast North CentralAppletonTown of GreenvilleGreenvilleWisconsinAppletonTown of Grand ChuteGrand ChuteTown of FreedomFreedomAppletonHarrisonTown of ChiltonChiltonSeymourAppleton Metro AreaAppleton AreaTown of HarrisonHarrisonTown of HortoniaHortoniaTown of BuchananBuchananHortonvilleTown of KaukaunaKaukaunaTown of OsbornOsbornTown of VandenbroekVandenbroekCalumet CountyCalumetLittle ChuteTown of BrothertownBrothertownTown of DaleTown of New HolsteinNew HolsteinKaukaunaTown of CenterCtrHilbertTown of StockbridgeStockbridgeTown of SeymourSeymourTown of BovinaBovinaTown of LibertyLibertyTown of MaineTown of CharlestownCharlestownShioctonTown of CiceroCiceroTown of EllingtonEllingtonBrillionTown of Black CreekBlack CrkTown of BrillionBrillionKimberlyTown of OneidaOneidaChiltonCombined LocksNew HolsteinNew LondonBlack CreekTown of WoodvilleWoodvilleStockbridgeTown of RantoulRantoulTown of Maple CreekMaple CrkTown of Deer CreekDeer CrkBear CreekKiel3.858186%3.858186%3.9%7413.336158%3.336158%3.3%7,127,6737.13M3.219697%3.219697%3.2%5122.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,11332.749796%2.749796%2.7%20242.703886%2.703886%2.7%105,215105k2.614529%2.614529%2.6%1,2512.396116%2.396116%2.4%38052.344152%2.344152%2.3%9161.931691%1.931691%1.9%13871.885895%1.885895%1.9%11981.811125%1.811125%1.8%1491.803051%1.803051%1.8%39101.764375%1.764375%1.8%2,7331.658768%1.658768%1.7%14111.653944%1.653944%1.7%13121.558830%1.558830%1.6%73131.505017%1.505017%1.5%27141.485149%1.485149%1.5%12151.449275%1.449275%1.4%11161.424501%1.424501%1.4%15171.390435%1.390435%1.4%4621.242153%1.242153%1.2%93181.049318%1.049318%1.0%10191.040583%1.040583%1.0%20201.021356%1.021356%1.0%11210.995843%0.995843%1.0%103220.932306%0.932306%0.9%23230.827586%0.827586%0.8%6240.824931%0.824931%0.8%9250.803674%0.803674%0.8%7260.757576%0.757576%0.8%6270.684932%0.684932%0.7%4280.634921%0.634921%0.6%4290.554529%0.554529%0.6%3300.527241%0.527241%0.5%3310.519481%0.519481%0.5%4320.391965%0.391965%0.4%8330.360082%0.360082%0.4%7340.327154%0.327154%0.3%3350.274474%0.274474%0.3%3360.191898%0.191898%0.2%9370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%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 Appleton, selected other county subdivisions in the Appleton Area, and entities that contain Appleton
Female
Male
10x5x0x5xFM#Combined LocksHortoniaRantoulOneidaKaukaunaCtrNew HolsteinTown of DaleBlack CrkCharlestownStockbridgeBovinaFreedomSherwoodMaple CrkBuchananOsbornLibertyBlack CreekChiltonCiceroAppletonNew LondonKimberlyWoodvilleStockbridgeBrothertownAppleton AreaBrillionAppletonLittle ChuteAppletonWisconsinGrand ChuteHilbertCalumetMidwestEast North CentralUnited StatesKaukaunaVandenbroekTown of MaineNew HolsteinHarrisonSeymourMenashaBrillionShioctonBear CreekGreenvilleSeymourHortonvilleChiltonEllingtonDeer CrkKiel-1.000000x-1.000000x8.072668x8.072668x8.07x1.196%1.20%9.656%9.66%1-1.000000x-1.000000x4.454430x4.454430x4.45x3.069%3.07%13.671%13.7%2-1.000000x-1.000000x4.089354x4.089354x4.09x3.347%3.35%13.688%13.7%3-1.000000x-1.000000x3.829211x3.829211x3.83x4.198%4.20%16.074%16.1%4-1.000000x-1.000000x3.660938x3.660938x3.66x1.711%1.71%6.266%6.27%5-1.000000x-1.000000x3.638500x3.638500x3.64x1.254%1.25%4.563%4.56%6-1.000000x-1.000000x3.050562x3.050562x3.05x2.762%2.76%8.427%8.43%7-1.000000x-1.000000x2.978913x2.978913x2.98x1.706%1.71%5.081%5.08%8-1.000000x-1.000000x2.874641x2.874641x2.87x3.974%3.97%11.422%11.4%9-1.000000x-1.000000x2.620939x2.620939x2.62x3.030%3.03%7.942%7.94%10-1.000000x-1.000000x2.561665x2.561665x2.56x4.128%4.13%10.573%10.6%11-1.000000x-1.000000x2.538462x2.538462x2.54x3.030%3.03%7.692%7.69%12-1.000000x-1.000000x2.518977x2.518977x2.52x1.458%1.46%3.672%3.67%13-1.000000x-1.000000x2.067869x2.067869x2.07x0.410%0.41%0.848%0.85%14-1.000000x-1.000000x1.952381x1.952381x1.95x3.415%3.41%6.667%6.67%15-1.000000x-1.000000x1.822077x1.822077x1.82x2.247%2.25%4.095%4.09%16-1.000000x-1.000000x1.810034x1.810034x1.81x4.087%4.09%7.398%7.40%17-1.000000x-1.000000x1.782359x1.782359x1.78x4.895%4.90%8.725%8.72%18-1.000000x-1.000000x1.712680x1.712680x1.71x3.066%3.07%5.251%5.25%19-1.000000x-1.000000x1.648101x1.648101x1.65x4.762%4.76%7.848%7.85%20-1.000000x-1.000000x1.616710x1.616710x1.62x9.044%9.04%14.621%14.6%21-1.000000x-1.000000x1.583369x1.583369x1.58x6.988%6.99%11.064%11.1%22-1.000000x-1.000000x1.480014x1.480014x1.48x6.610%6.61%9.783%9.78%23-1.000000x-1.000000x1.465523x1.465523x1.47x5.403%5.40%7.919%7.92%24-1.000000x-1.000000x1.399083x1.399083x1.40x5.246%5.25%7.339%7.34%25-1.000000x-1.000000x1.388889x1.388889x1.39x2.449%2.45%3.401%3.40%26-1.000000x-1.000000x1.319527x1.319527x1.32x6.278%6.28%8.284%8.28%27-1.000000x-1.000000x1.280375x1.280375x1.28x5.854%5.85%7.496%7.50%-1.000000x-1.000000x1.263326x1.263326x1.26x7.117%7.12%8.991%8.99%28-1.000000x-1.000000x1.235164x1.235164x1.24x7.086%7.09%8.753%8.75%-1.000000x-1.000000x1.222070x1.222070x1.22x4.514%4.51%5.516%5.52%29-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%30-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%31-1.000000x-1.000000x1.207029x1.207029x1.21x14.876%14.9%17.956%18.0%32-1.000000x-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.067911x1.067911x1.07x6.173%6.17%6.593%6.59%33-1.000000x-1.000000x1.055137x1.055137x1.06x6.654%6.65%7.021%7.02%34-1.000000x-1.000000x1.019006x1.019006x1.02x12.418%12.4%12.654%12.7%35-1.000000x-1.000000x1.012175x1.012175x1.01x16.311%16.3%16.509%16.5%36-1.000000x-1.000000x1.008721x1.008721x1.01x5.097%5.10%5.141%5.14%37-1.003859x-1.003859x1.00x1.000000x1.000000x8.614%8.61%8.581%8.58%38-1.010219x-1.010219x1.01x1.000000x1.000000x1.522%1.52%1.507%1.51%39-1.027310x-1.027310x1.03x1.000000x1.000000x4.587%4.59%4.465%4.47%40-1.046367x-1.046367x1.05x1.000000x1.000000x9.343%9.34%8.929%8.93%41-1.209062x-1.209062x1.21x1.000000x1.000000x26.351%26.4%21.795%21.8%42-1.212819x-1.212819x1.21x1.000000x1.000000x3.492%3.49%2.880%2.88%43-1.317935x-1.317935x1.32x1.000000x1.000000x11.031%11.0%8.370%8.37%44-1.451306x-1.451306x1.45x1.000000x1.000000x5.345%5.35%3.683%3.68%45-1.695238x-1.695238x1.70x1.000000x1.000000x14.694%14.7%8.668%8.67%46-1.875404x-1.875404x1.88x1.000000x1.000000x4.790%4.79%2.554%2.55%47-2.038071x-2.038071x2.04x1.000000x1.000000x16.751%16.8%8.219%8.22%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.000%10.0%0.000%0%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 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 Appleton, selected other county subdivisions in the Appleton Area, and entities that contain Appleton
Female
Male
10x5x0x5x10xFM#HarrisonBrothertownBlack CrkCiceroCharlestownMenashaSeymourAppletonTown of DaleHortoniaKaukaunaGreenvilleSherwoodFreedomAppletonCtrAppletonHortonvilleCalumetEast North CentralMidwestWisconsinUnited StatesAppleton AreaKaukaunaGrand ChuteSeymourNew HolsteinEllingtonHilbertTown of MaineOsbornChiltonHarrisonBuchananStockbridgeLittle ChuteKimberlyBrillionBrillionVandenbroekBovinaLibertyShiocton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.263%3.26%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.972%1.97%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.647%0.65%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.044%1.04%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.083%1.08%5-1.000000x-1.000000x4.796438x4.796438x4.80x1.171%1.17%5.616%5.62%6-1.000000x-1.000000x3.286980x3.286980x3.29x0.902%0.90%2.966%2.97%7-1.000000x-1.000000x2.975997x2.975997x2.98x0.974%0.97%2.900%2.90%8-1.000000x-1.000000x2.859756x2.859756x2.86x0.533%0.53%1.524%1.52%9-1.000000x-1.000000x2.227215x2.227215x2.23x1.023%1.02%2.278%2.28%10-1.000000x-1.000000x2.064640x2.064640x2.06x0.652%0.65%1.346%1.35%11-1.000000x-1.000000x2.051649x2.051649x2.05x1.801%1.80%3.695%3.69%12-1.000000x-1.000000x1.908802x1.908802x1.91x2.667%2.67%5.090%5.09%13-1.000000x-1.000000x1.896004x1.896004x1.90x1.614%1.61%3.060%3.06%14-1.000000x-1.000000x1.842434x1.842434x1.84x1.857%1.86%3.421%3.42%-1.000000x-1.000000x1.764359x1.764359x1.76x0.669%0.67%1.180%1.18%15-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%16-1.000000x-1.000000x1.703795x1.703795x1.70x1.114%1.11%1.897%1.90%17-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%-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-1.000000x1.485583x1.485583x1.49x1.424%1.42%2.116%2.12%-1.000000x-1.000000x1.435088x1.435088x1.44x1.222%1.22%1.754%1.75%18-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%19-1.000000x-1.000000x1.224670x1.224670x1.22x0.719%0.72%0.881%0.88%20-1.000000x-1.000000x1.220225x1.220225x1.22x0.921%0.92%1.124%1.12%21-1.000000x-1.000000x1.004912x1.004912x1.00x0.391%0.39%0.393%0.39%22-1.000000x-1.000000x1.002762x1.002762x1.00x0.826%0.83%0.829%0.83%23-1.058824x-1.058824x1.06x1.000000x1.000000x0.654%0.65%0.617%0.62%24-1.281744x-1.281744x1.28x1.000000x1.000000x1.635%1.63%1.276%1.28%25-1.393298x-1.393298x1.39x1.000000x1.000000x2.116%2.12%1.519%1.52%26-1.439389x-1.439389x1.44x1.000000x1.000000x2.220%2.22%1.542%1.54%27-1.965635x-1.965635x1.97x1.000000x1.000000x2.074%2.07%1.055%1.06%28-2.093809x-2.093809x2.09x1.000000x1.000000x1.126%1.13%0.538%0.54%29-2.831551x-2.831551x2.83x1.000000x1.000000x1.780%1.78%0.629%0.63%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.363%0.36%0.000%0%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.714%0.71%0.000%0%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.547%0.55%0.000%0%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.852%2.85%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.653%1.65%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.399%1.40%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.038%1.04%0.000%0%37
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 37 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares Appleton to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Appleton. 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 Appleton, selected other county subdivisions in Wisconsin, and entities that contain Appleton
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeAppletonMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldAppletonPleasant PrairieAppletonFranklinCalumet CountyCalumetWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaAppleton Metro AreaAppleton AreaWest 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%1,115129.190270%9.190270%9.2%1,379139.014558%9.014558%9.0%6448.829004%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%2,296197.893747%7.893747%7.9%3,7777.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.361483%7.361483%7.4%2,4467.158983%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%1,208276.661760%6.661760%6.7%10,31910.3k6.565400%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 Appleton, selected other county subdivisions in Wisconsin, and entities that contain Appleton
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantAppletonNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteAppletonOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardCalumet CountyCalumetEast North CentralWisconsinMarshfieldAppleton Metro AreaAppleton AreaWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%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%6,2272132.726764%32.726764%32.7%2,33832.464907%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%5,1072532.084936%32.084936%32.1%15,35215.4k31.640023%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%3,7033028.702561%28.702561%28.7%9,53728.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.982104%27.982104%28.0%43,34443.3k27.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Appleton, selected other county subdivisions in Wisconsin, and entities that contain Appleton
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieAppletonBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeAppletonGreenfieldOak CreekBeloitGreen BayAppleton Metro AreaAppleton AreaKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacCalumet CountyCalumetHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%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%412192.893416%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%380232.614529%2.614529%2.6%1,2512.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.931691%1.931691%1.9%1381.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.764375%1.764375%1.8%2,7331.762204%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%425411.390435%1.390435%1.4%4621.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Appleton, selected other county subdivisions in Wisconsin, and entities that contain Appleton
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshAppletonFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantAppleton AreaSuperiorAppletonStevens PointAppletonWisconsinRacineGrand ChuteGermantownCalumetMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond 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-1.000000x1.583369x1.583369x1.58x6.988%6.99%11.064%11.1%-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.280375x1.280375x1.28x5.854%5.85%7.496%7.50%-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.235164x1.235164x1.24x7.086%7.09%8.753%8.75%-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-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%-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 Appleton, selected other county subdivisions in Wisconsin, and entities that contain Appleton
Female
Male
1x0x1x2x3xFM#NeenahAppletonPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauAppletonFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaCalumetWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocAppleton AreaFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.975997x2.975997x2.98x0.974%0.97%2.900%2.90%-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-1.000000x1.842434x1.842434x1.84x1.857%1.86%3.421%3.42%-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-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%-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-1.000000x1.485583x1.485583x1.49x1.424%1.42%2.116%2.12%-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Appleton to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Appleton. 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 Appleton, selected other county subdivisions in the Midwest, and entities that contain Appleton
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 FallsAppletonWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineAppletonSchaumburg TownshipSchaumburgCalumet CountyCalumetLincolnWashington TownshipWashingtonAppleton Metro AreaAppleton AreaOlatheFargoCedar 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%9,123349.014558%9.014558%9.0%6448.637220%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%6,695377.893747%7.893747%7.9%3,7777.739434%7.739434%7.7%7,226387.361483%7.361483%7.4%2,4467.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.661760%6.661760%6.7%10,31910.3k6.424130%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 Appleton, selected other county subdivisions in the Midwest, and entities that contain Appleton
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsAppletonBloomingdale TownshipBloomingdaleAppletonCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaCalumet CountyCalumetEast North CentralWisconsinAppleton Metro AreaAppleton AreaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%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%39,86339.9k2632.726764%32.726764%32.7%2,33832.623147%32.623147%32.6%25,12725.1k2732.084936%32.084936%32.1%15,35215.4k31.793440%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%71,75771.8k3028.702561%28.702561%28.7%9,53728.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.982104%27.982104%28.0%43,34443.3k27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Appleton, selected other county subdivisions in the Midwest, and entities that contain Appleton
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 TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinAppletonCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthAppletonClevelandAppleton Metro AreaAppleton AreaToledoNorth TownshipNSterling HeightsSterling HtsCalumet CountyCalumetKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%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%2,472252.911721%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%105,215105k2.614529%2.614529%2.6%1,2512.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.931691%1.931691%1.9%1381.927780%1.927780%1.9%4,911391.764375%1.764375%1.8%2,7331.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.390435%1.390435%1.4%4621.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Appleton, selected other county subdivisions in the Midwest, and entities that contain Appleton
Female
Male
1x0x1xFM#AppletonAppleton AreaCedar RapidsLincolnDetroitAppletonOmahaToledoWisconsinThorntonCalumetKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.583369x1.583369x1.58x6.988%6.99%11.064%11.1%-1.000000x-1.000000x1.280375x1.280375x1.28x5.854%5.85%7.496%7.50%-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-1.000000x1.235164x1.235164x1.24x7.086%7.09%8.753%8.75%-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-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%-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 Appleton, selected other county subdivisions in the Midwest, and entities that contain Appleton
Female
Male
1x0x1x2xFM#AppletonRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronAppletonLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaCalumetFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborAppleton AreaTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.975997x2.975997x2.98x0.974%0.97%2.900%2.90%-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-1.000000x1.842434x1.842434x1.84x1.857%1.86%3.421%3.42%-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-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%-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-1.000000x1.485583x1.485583x1.49x1.424%1.42%2.116%2.12%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Appleton to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Appleton. 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 Appleton, selected other county subdivisions in the United States, and entities that contain Appleton
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 HarrisWashingtonAtlantaAppletonSeattleWisconsinNortheast TarrantNE TarrantAppletonCalumet CountyCalumetAppleton Metro AreaAppleton AreaPlanoSeattle 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%37,37337.4k469.014558%9.014558%9.0%6448.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k487.893747%7.893747%7.9%3,7777.361483%7.361483%7.4%2,4466.661760%6.661760%6.7%10,31910.3k5.714681%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 Appleton, selected other county subdivisions in the United States, and entities that contain Appleton
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 CityAppletonAlbuquerqueTampaTucsonAppletonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixCalumet CountyCalumetOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoAppleton Metro AreaAppleton AreaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%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%204,048204k2332.726764%32.726764%32.7%2,33832.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2632.084936%32.084936%32.1%15,35215.4k31.198303%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%593,529594k3328.702561%28.702561%28.7%9,53728.535877%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%209,283209k3627.982104%27.982104%28.0%43,34443.3k27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Appleton, selected other county subdivisions in the United States, and entities that contain Appleton
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-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantAppletonEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeAppletonSan BernardinoSan Antonio CentralSan Antonio CntrlAppleton Metro AreaAppleton AreaEl PasoSouthwest DallasSW DallasBronxCalumet CountyCalumetDetroit12.461852%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%11,33911.3k332.893416%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%9,827392.614529%2.614529%2.6%1,2512.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.931691%1.931691%1.9%1381.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.764375%1.764375%1.8%2,7331.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.390435%1.390435%1.4%4621.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Appleton, selected other county subdivisions in the United States, and entities that contain Appleton
Female
Male
1x0x1xFM#Appleton1, CharlotteAppleton AreaDetroitAppletonWisconsinCalumetBaltimoreTulsaSW 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-1.000000x1.583369x1.583369x1.58x6.988%6.99%11.064%11.1%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.280375x1.280375x1.28x5.854%5.85%7.496%7.50%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.235164x1.235164x1.24x7.086%7.09%8.753%8.75%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.202432x1.202432x1.20x6.690%6.69%8.044%8.04%-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 Appleton, selected other county subdivisions in the United States, and entities that contain Appleton
Female
Male
1x0x1x2xFM#AppletonEl PasoSalt Lk CityAppletonPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixCalumetTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadAppleton AreaFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.975997x2.975997x2.98x0.974%0.97%2.900%2.90%-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-1.000000x1.842434x1.842434x1.84x1.857%1.86%3.421%3.42%-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-1.000000x1.653118x1.653118x1.65x1.050%1.05%1.736%1.74%-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-1.000000x1.485583x1.485583x1.49x1.424%1.42%2.116%2.12%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Calumet
Metro Area:
Appleton Area
City:
Appleton
ZIP Codes:
54915, 54952
Unified School Districts:
Appleton, Kimberly
Congressional District:
WI-8
State Senate District:
WI-1
Assembly District:
WI-3
Neighboring Towns:
Buchanan, Harrison, Menasha
Nearby Towns:
Grand Chute, Neenah, Vandenbroek