Educational Attainment in the Town of New Holstein, Calumet County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Calumet County and the Town of New Holstein
Town of New Holstein
Calumet County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.826370%40.497186%30.826370%30.8%33263.602600%52.141331%63.602600%63.6%6855.571031%7.361483%5.571031%5.6%60
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 the Town of New Holstein
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-23.880218%-23.880218%-23.9%30.826%30.8%40.497%40.5%21.981159%21.981159%+22.0%63.603%63.6%52.141%52.1%-24.321899%-24.321899%-24.3%5.571%5.57%7.361%7.36%
% percentage with given level in the Town of New Holstein
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 the Town of New Holstein
Town of New Holstein
Calumet County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.278552%0.478526%0.278552%0.3%30.742804%0.911909%0.742804%0.7%84.642526%5.507569%4.642526%4.6%5011.513463%21.804557%11.513463%11.5%12413.649025%11.794625%13.649025%13.6%14719.870009%19.875403%19.870009%19.9%21443.732591%32.265928%43.732591%43.7%4713.528319%4.454209%3.528319%3.5%381.764160%1.730520%1.764160%1.8%190.278552%1.176754%0.278552%0.3%3
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 the Town of New Holstein
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-41.789737%-41.789737%-41.8%0.279%0.28%0.479%0.48%-18.544055%-18.544055%-18.5%0.743%0.74%0.912%0.91%-15.706450%-15.706450%-15.7%4.643%4.64%5.508%5.51%-47.196985%-47.196985%-47.2%11.513%11.5%21.805%21.8%15.722418%15.722418%+15.7%13.649%13.6%11.795%11.8%-0.027135%-0.027135%-0.0%19.870%19.9%19.875%19.9%35.537990%35.537990%+35.5%43.733%43.7%32.266%32.3%-20.786845%-20.786845%-20.8%3.528%3.53%4.454%4.45%1.943886%1.943886%+1.9%1.764%1.76%1.731%1.73%-76.328819%-76.328819%-76.3%0.279%0.28%1.177%1.18%
% percentage with given level in the Town of New Holstein
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 the Town of New Holstein
More Females More Males
Calumet County
Town of New Holstein
0%100%200%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-41.728957%-12.256903%-41.728957%42%36.096%36.1%25.468%25.5%8.117301%6.575760%8.117301%8%61.142%61.1%66.105%66.1%205.056180%20.243235%205.056180%205%2.762%2.76%8.427%8.43%
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 the Town of New Holstein
More Females More Males
Calumet County
Town of New Holstein
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%72.424261%1,000.000000%> 1000%0.000%0%0.562%0.56%-63.904236%-63.904236%64%61.725114%0.921%0.92%0.562%0.56%-47.513812%-31.735901%-47.513812%48%5.525%5.52%3.745%3.75%-23.375188%-16.470817%-23.375188%23%12.707%12.7%10.300%10.3%-64.500251%-4.669397%-64.500251%65%16.943%16.9%10.300%10.3%-35.494168%-12.880899%-35.494168%35%22.836%22.8%16.854%16.9%28.573358%19.452143%28.573358%29%38.306%38.3%49.251%49.3%281.320225%40.718743%281.320225%281%1.473%1.47%5.618%5.62%-94.560946%74.317817%74.317817%74%1.289%1.29%2.247%2.25%1,000.000000%135.359116%1,000.000000%> 1000%0.000%0%0.562%0.56%
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 the Town of New Holstein
Town of New Holstein
Calumet County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-347.725322%12.070025%7.725322%7.7%182338.943089%20.429519%8.943089%8.9%4449223.584906%27.512992%23.584906%23.6%502128.571429%30.210860%8.571429%8.6%12140
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 the Town of New Holstein
60%40%20%0%%ref.65+45-6435-4425-34-35.995806%-35.995806%36.0%7.725%7.73%12.070%12.1%-56.224670%-56.224670%56.2%8.943%8.94%20.430%20.4%-14.277205%-14.277205%14.3%23.585%23.6%27.513%27.5%-71.627989%-71.627989%71.6%8.571%8.57%30.211%30.2%
% percentage in the Town of New Holstein 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 the Town of New Holstein
More Females More Males
Calumet County
Town of New Holstein
200%100%0%FM65+45-6435-4425-34-9.591477%37.387387%37.387387%37.4%6.557%6.56%9.009%9.01%-1.072724%8.837209%8.837209%8.8%8.547%8.55%9.302%9.30%-28.635953%-40.605598%-28.635953%28.6%26.016%26.0%20.225%20.2%-256.250000%-33.000993%-256.250000%256.3%14.063%14.1%3.947%3.95%
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 the Town of New Holstein
Town of New Holstein
Calumet County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$71,250.000000$61,956.000000$71,250.000000$71.3k615.664%5.66%$34,286.000000$53,836.000000$34,286.000000$34.3k12411.513%11.5%$40,982.000000$39,441.000000$40,982.000000$41.0k36133.519%33.5%$35,529.000000$36,382.000000$35,529.000000$35.5k47143.733%43.7%$32,917.000000$31,268.000000$32,917.000000$32.9k605.571%5.57%$37,372.000000$41,626.000000$37,372.000000$37.4k1,077100.000%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 the Town of New Holstein
Female Male
Calumet County
Town of New Holstein
Shaded bar tips show excess over facing bar.
$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-28,000.000000$-43,967.000000$-28,000.000000$28.0k$28,000.000000$51,167.000000$43,967.000000$21,443.000000$79,167.000000$79.2k6955$-30,341.000000$-29,316.000000$-30,341.000000$30.3k$30,341.000000$20,568.000000$29,316.000000$19,597.000000$50,909.000000$50.9k216145$-30,391.000000$-25,557.000000$-30,391.000000$30.4k$30,391.000000$10,902.000000$25,557.000000$17,505.000000$41,293.000000$41.3k208263$-30,758.000000$-32,332.000000$-30,758.000000$30.8k$30,758.000000$15,492.000000$32,332.000000$18,265.000000$46,250.000000$46.3k543534
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 the Town of New Holstein
Town of New Holstein
Calumet County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.535032%90.474479%88.535032%88.5%13985.889571%87.113514%85.889571%85.9%28087.577640%79.742931%87.577640%87.6%28276.923077%71.471247%76.923077%76.9%30
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 the Town of New Holstein
Female Male
Calumet County
Town of New Holstein
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1Hispanic2-2.819549%-5.433066%-2.819549%2.8%2.819549%5.703178%5.433066%1.001683%8.522727%8.5%4515-0.000000%-31.111111%0.000000%0.0%0.000000%0.000000%31.111111%14.908789%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Calumet County and the Town of New Holstein
Female Male
Calumet County
Town of New Holstein
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1Hispanic2-15.340909%-4.207963%-26.694204%-4.400622%-19.548872%19.5%15.340909%26.694204%15.340909%15.3%81104-0.000000%-15.920398%-6.301824%0.000000%0.0%0.000000%0.000000%15.920398%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Appleton Area

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

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of New Holstein, selected other county subdivisions in the Appleton Area, and entities that contain the Town of New Holstein
0%5%10%15%20%Count#Bear CreekNew HolsteinHilbertUnited States of AmericaUnited States020600Tract 020600Town of MaineTown of Deer CreekDeer CrkChiltonTown of CiceroCiceroEast North CentralMidwestTown of OneidaOneidaTown of SeymourSeymourShioctonAppletonTown of RantoulRantoulWisconsinSeymourTown of HortoniaHortoniaNew LondonTown of BrillionBrillionTown 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%27,818,38027.8M12.710731%12.710731%12.7%47512.539683%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%88167.742639%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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of New Holstein, selected other county subdivisions in the Appleton Area, and entities that contain the Town of New Holstein
0%10%20%30%40%Count#SherwoodHarrisonMenashaTown of HarrisonHarrisonTown of BuchananBuchananTown of GreenvilleGreenvilleAppletonAppletonTown of Grand ChuteGrand ChuteUnited 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 BrothertownBrothertownChilton020600Tract 020600Town 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%5,107930.315023%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%4973418.169655%18.169655%18.2%67917.177344%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#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of New Holstein, selected other county subdivisions in the Appleton Area, and entities that contain the Town of New Holstein
0%1%2%3%Count#SherwoodUnited States of AmericaUnited StatesMenashaMidwestEast North CentralAppletonTown of GreenvilleGreenvilleWisconsinTown 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 Crk020600Tract 020600Town 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%105,215105k2.396116%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%3350.294354%0.294354%0.3%110.274474%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#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in the Appleton Area, and entities that contain the Town of New Holstein
Female
Male
10x5x0x5xFM#Combined LocksHortoniaRantoulOneidaKaukaunaCtrNew HolsteinTown of DaleBlack CrkCharlestownStockbridgeBovinaFreedomSherwoodMaple CrkBuchananOsbornLibertyBlack CreekChiltonCiceroAppletonNew LondonKimberlyWoodvilleStockbridgeBrothertownAppleton AreaBrillionLittle ChuteAppletonWisconsinGrand ChuteHilbertCalumetTract 020600MidwestEast 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-1.000000x1.222070x1.222070x1.22x4.514%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-1.000000x1.141240x1.141240x1.14x11.866%11.9%13.542%13.5%-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#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in the Appleton Area, and entities that contain the Town of New Holstein
Female
Male
10x5x0x5x10xFM#HarrisonBrothertownBlack CrkCiceroCharlestownMenashaSeymourAppletonTown of DaleHortoniaKaukaunaGreenvilleSherwoodFreedomCtrAppletonHortonvilleCalumetEast North CentralMidwestWisconsinUnited StatesAppleton AreaKaukaunaGrand ChuteSeymourNew HolsteinTract 020600EllingtonHilbertTown 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-1.000000x1.764359x1.764359x1.76x0.669%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-1.000000x1.181519x1.181519x1.18x0.270%0.27%0.319%0.32%-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 the Town of New Holstein to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of New Holstein. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of New Holstein, selected other county subdivisions in Wisconsin, and entities that contain the Town of New Holstein
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited States020600Tract 020600Green BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinCalumet CountyCalumetWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaAppleton Metro AreaAppleton AreaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekTown of New HolsteinNew HolsteinGermantownOnalaskaMadisonMenomonee 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%27,818,38027.8M12.710731%12.710731%12.7%47512.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.361483%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%1,421375.571031%5.571031%5.6%605.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of New Holstein, selected other county subdivisions in Wisconsin, and entities that contain the Town of New Holstein
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardCalumet CountyCalumetEast North CentralWisconsinMarshfieldAppleton Metro AreaAppleton AreaWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver Dam020600Tract 020600RacineTown of New HolsteinNew HolsteinBeloitWisconsin 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%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.702561%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%2,0874718.169655%18.169655%18.2%67917.525031%17.525031%17.5%8,5244817.177344%17.177344%17.2%18516.605719%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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of New Holstein, selected other county subdivisions in Wisconsin, and entities that contain the Town of New Holstein
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayAppleton Metro AreaAppleton AreaKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacCalumet CountyCalumetHowardCudahyWest BendWest AllisRacineManitowocTown of New HolsteinNew HolsteinSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon020600Tract 02060011.084724%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%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.764375%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%264471.021356%1.021356%1.0%110.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%94500.294354%0.294354%0.3%11
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in Wisconsin, and entities that contain the Town of New Holstein
Female
Male
1x0x1x2x3xFM#New HolsteinDe PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantAppleton AreaSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownCalumetMadisonMuskegoKenoshaMequonTract 020600MidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x3.050562x3.050562x3.05x2.762%2.76%8.427%8.43%-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.280375x1.280375x1.28x5.854%5.85%7.496%7.50%-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%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-1.000000x1.141240x1.141240x1.14x11.866%11.9%13.542%13.5%-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#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in Wisconsin, and entities that contain the Town of New Holstein
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaCalumetWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocAppleton AreaFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaNew HolsteinGermantownWaukeshaTract 020600OconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%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-1.000000x1.220225x1.220225x1.22x0.921%0.92%1.124%1.12%-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-1.000000x1.181519x1.181519x1.18x0.270%0.27%0.319%0.32%-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of New Holstein, selected other county subdivisions in the Midwest, and entities that contain the Town of New Holstein
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThornton020600Tract 020600WichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgCalumet CountyCalumetLincolnWashington TownshipWashingtonAppleton Metro AreaAppleton AreaOlatheFargoCedar RapidsTown of New HolsteinNew HolsteinYork 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%14,37014.4k2212.710731%12.710731%12.7%47512.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.361483%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%5,099435.571031%5.571031%5.6%605.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of New Holstein, selected other county subdivisions in the Midwest, and entities that contain the Town of New Holstein
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaCalumet CountyCalumetEast North CentralWisconsinAppleton Metro AreaAppleton AreaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThornton020600Tract 020600ToledoDaytonWarrenTown of New HolsteinNew HolsteinWayne 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%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.702561%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%21,01221.0k4118.169655%18.169655%18.2%67918.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4417.177344%17.177344%17.2%18516.826535%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#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of New Holstein, selected other county subdivisions in the Midwest, and entities that contain the Town of New Holstein
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 FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandAppleton Metro AreaAppleton AreaToledoNorth TownshipNSterling HeightsSterling HtsCalumet CountyCalumetKansas CityDetroitDaytonWayne TownshipWayneWarrenTown of New HolsteinNew HolsteinBlue TownshipAurora TownshipAuroraThornton TownshipThornton020600Tract 02060017.877867%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%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.764375%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%963471.021356%1.021356%1.0%110.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.294354%0.294354%0.3%11
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in the Midwest, and entities that contain the Town of New Holstein
Female
Male
1x0x1x2x3xFM#New HolsteinAppleton AreaCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonCalumetKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipTract 020600WayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x3.050562x3.050562x3.05x2.762%2.76%8.427%8.43%-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-1.000000x1.230289x1.230289x1.23x10.968%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-1.000000x1.141240x1.141240x1.14x11.866%11.9%13.542%13.5%-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#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in the Midwest, and entities that contain the Town of New Holstein
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaCalumetFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborAppleton AreaTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneNew HolsteinCtrTract 020600ToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%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-1.000000x1.220225x1.220225x1.22x0.921%0.92%1.124%1.12%-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.181519x1.181519x1.18x0.270%0.27%0.319%0.32%-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of New Holstein, selected other county subdivisions in the United States, and entities that contain the Town of New Holstein
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 Jose020600Tract 020600San FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleWisconsinNortheast TarrantNE TarrantCalumet CountyCalumetAppleton Metro AreaAppleton AreaPlanoTown of New HolsteinNew HolsteinSeattle 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%153,604154k3512.710731%12.710731%12.7%47512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k487.361483%7.361483%7.4%2,4466.661760%6.661760%6.7%10,31910.3k5.714681%5.714681%5.7%20,64420.6k495.571031%5.571031%5.6%604.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of New Holstein, selected other county subdivisions in the United States, and entities that contain the Town of New Holstein
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixCalumet CountyCalumetOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoAppleton Metro AreaAppleton AreaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronx020600Tract 020600Town of New HolsteinNew HolsteinSan 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%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.702561%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%173,169173k4718.169655%18.169655%18.2%67917.177344%17.177344%17.2%18516.375473%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#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of New Holstein, selected other county subdivisions in the United States, and entities that contain the Town of New Holstein
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 TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlAppleton Metro AreaAppleton AreaEl PasoSouthwest DallasSW DallasBronxCalumet CountyCalumetDetroitTown of New HolsteinNew Holstein020600Tract 02060012.461852%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%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.764375%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%5,693501.021356%1.021356%1.0%110.294354%0.294354%0.3%11
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in the United States, and entities that contain the Town of New Holstein
Female
Male
1x0x1x2x3xFM#New Holstein1, CharlotteAppleton AreaDetroitWisconsinCalumetBaltimoreTulsaSW DallasTract 020600MidwestFresnoEast 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-1.000000x3.050562x3.050562x3.05x2.762%2.76%8.427%8.43%-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-1.000000x1.219291x1.219291x1.22x7.799%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-1.000000x1.141240x1.141240x1.14x11.866%11.9%13.542%13.5%-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#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of New Holstein, selected other county subdivisions in the United States, and entities that contain the Town of New Holstein
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE 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 DallasBrooklynManhattanChicagoSeattleBostonNew HolsteinBronxOntarioLong Bch-LakewoodTract 020600DenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.653118x1.653118x1.65x1.050%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-1.000000x1.220225x1.220225x1.22x0.921%0.92%1.124%1.12%-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-1.000000x1.181519x1.181519x1.18x0.270%0.27%0.319%0.32%-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
ZIP Codes:
53014, 53020, 53042, 53061
Unified School Districts:
Chilton, Kiel, New Holstein
Congressional District:
WI-8
State Senate Districts:
WI-9, WI-20
Assembly Districts:
WI-27, WI-59
Neighboring Cities:
Kiel, New Holstein
Neighboring Towns:
Brothertown, Calumet, Charlestown, Eaton, Marshfield, Rhine, Russell, Schleswig
Nearby Towns:
Chilton, Greenbush, Meeme, Stockbridge