Educational Attainment in Waterloo, Jefferson County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Jefferson County and Waterloo
Waterloo
Jefferson County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma226.571305%34.187121%26.571305%26.6%61358.430863%56.940019%58.430863%58.4%1,34814.997833%8.872860%14.997833%15.0%346
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 Jefferson County at large.
Scope: population of Jefferson County and Waterloo
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-22.276859%-22.276859%-22.3%26.571%26.6%34.187%34.2%2.618270%2.618270%+2.6%58.431%58.4%56.940%56.9%69.030428%69.030428%+69.0%14.998%15.0%8.873%8.87%
% percentage with given level in Waterloo
ref. percentage with given level in Jefferson 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 Jefferson County and Waterloo
Waterloo
Jefferson County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.707308%00.606849%1.027697%0.606849%0.6%142.514088%5.299555%2.514088%2.5%5811.833550%16.436150%11.833550%11.8%27311.616818%10.716412%11.616818%11.6%26819.852622%21.250744%19.852622%19.9%45838.578240%35.689275%38.578240%38.6%8905.028175%5.355580%5.028175%5.0%1164.074556%2.144683%4.074556%4.1%945.895102%1.372597%5.895102%5.9%136
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 Jefferson County at large.
Scope: population of Jefferson County and Waterloo
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.707%0.71%-40.950621%-40.950621%-41.0%0.607%0.61%1.028%1.03%-52.560405%-52.560405%-52.6%2.514%2.51%5.300%5.30%-28.002907%-28.002907%-28.0%11.834%11.8%16.436%16.4%8.402129%8.402129%+8.4%11.617%11.6%10.716%10.7%-6.579165%-6.579165%-6.6%19.853%19.9%21.251%21.3%8.094772%8.094772%+8.1%38.578%38.6%35.689%35.7%-6.113336%-6.113336%-6.1%5.028%5.03%5.356%5.36%89.984059%89.984059%+90.0%4.075%4.07%2.145%2.14%329.485240%329.485240%+329.5%5.895%5.90%1.373%1.37%
% percentage with given level in Waterloo
ref. percentage with given level in Jefferson 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 Jefferson County and Waterloo
More Females More Males
Jefferson County
Waterloo
50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-14.779078%-21.490639%-14.779078%15%28.532%28.5%24.858%24.9%26.433145%11.084708%26.433145%26%51.208%51.2%64.744%64.7%-94.846364%-94.846364%95%7.463865%20.260%20.3%10.398%10.4%
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 Jefferson County and Waterloo
More Females More Males
Jefferson County
Waterloo
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%60.220841%1,000.000000%> 1000%0.000%0%1.137%1.14%-1,000.000000%-43.489359%-1,000.000000%> 1000%5.390%5.39%0.000%0%-16.947542%-26.473220%-16.947542%0k%12.825%12.8%10.967%11.0%-17.894690%23.631999%23.631999%0k%10.316%10.3%12.754%12.8%-4.164887%6.927039%6.927039%0k%19.145%19.1%20.471%20.5%38.080269%21.201753%38.080269%0k%32.063%32.1%44.273%44.3%-14.405204%-14.405204%0k%25.588605%5.390%5.39%4.712%4.71%-1,000.000000%-21.676278%-1,000.000000%> 1000%8.271%8.27%0.406%0.41%-24.965685%-12.356149%-24.965685%0k%6.599%6.60%5.280%5.28%
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 Jefferson County and Waterloo
Waterloo
Jefferson County
0%5%10%15%20%B.X.Total65+45-6435-4425-340.835073%10.599921%0.835073%0.8%44798.567775%14.870135%8.567775%8.6%6778219.808307%19.751225%19.808307%19.8%12462618.571429%24.177615%18.571429%18.6%78420
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 Jefferson County at large.
Scope: population of Jefferson County and Waterloo
80%60%40%20%0%%ref.65+45-6435-4425-34-92.121893%-92.121893%92.1%0.835%0.84%10.600%10.6%-42.382670%-42.382670%42.4%8.568%8.57%14.870%14.9%0.289003%0.289003%0.3%19.808%19.8%19.751%19.8%-23.187508%-23.187508%23.2%18.571%18.6%24.178%24.2%
% percentage in Waterloo with a Bachelor's degree
ref percentage in Jefferson 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 Jefferson County and Waterloo
More Females More Males
Jefferson County
Waterloo
500%0%500%1,000%FM65+45-6435-4425-341,000.000000%20.212873%1,000.000000%> 1000%0.000%0%1.449%1.45%-24.734946%300.488722%300.488722%300.5%3.483%3.48%13.947%13.9%-15.080921%15.850738%15.850738%15.9%18.475%18.5%21.404%21.4%-700.452489%-91.168861%-700.452489%700.5%46.923%46.9%5.862%5.86%
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 Jefferson County and Waterloo
Waterloo
Jefferson County
$0k$20k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$55,336.000000$44,084.000000$55,336.000000$55.3k27311.834%11.8%$43,656.000000$37,485.000000$43,656.000000$43.7k72631.469%31.5%$36,593.000000$31,473.000000$36,593.000000$36.6k89038.578%38.6%$18,520.000000$21,575.000000$18,520.000000$18.5k34614.998%15.0%$41,263.000000$36,302.000000$41,263.000000$41.3k2,307100.000%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 Jefferson County and Waterloo
Female Male
Jefferson County
Waterloo
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-50,625.000000$-5,852.000000$-37,572.000000$-56,477.000000$56.5k$50,625.000000$37,572.000000$19,634.000000$50,625.000000$50.6k138135$-38,214.000000$-30,126.000000$-38,214.000000$38.2k$38,214.000000$24,896.000000$30,126.000000$16,103.000000$63,110.000000$63.1k317409$-34,801.000000$-24,794.000000$-34,801.000000$34.8k$34,801.000000$6,108.000000$24,794.000000$12,704.000000$40,909.000000$40.9k345545$-35,947.000000$-30,160.000000$-35,947.000000$35.9k$35,947.000000$6,769.000000$30,160.000000$12,064.000000$42,716.000000$42.7k1,0761,231
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 Jefferson County and Waterloo
Waterloo
Jefferson County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma391.202346%87.343582%91.202346%91.2%31186.370840%83.379970%86.370840%86.4%54578.846154%77.689270%78.846154%78.8%45166.901408%58.480243%66.901408%66.9%190
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 Jefferson County and Waterloo
Female Male
Jefferson County
Waterloo
Shaded bar tips show excess over facing bar.
100%50%0%MFWhite1Hispanic2Other1-5.456256%-6.111312%-6.765063%-11.567568%11.6%5.456256%6.765063%0.806060%5.456256%5.5%58107-46.052632%-32.670773%-35.021097%-9.620383%-78.723404%78.7%46.052632%35.021097%46.052632%46.1%70111-0.000000%-100.000000%-22.357724%-12.747172%-100.000000%100.0%0.000000%22.357724%0.000000%0.0%019
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 Jefferson County and Waterloo
Female Male
Jefferson County
Waterloo
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Hispanic2Other1-13.076199%-7.031909%-21.891251%-4.856145%-20.108108%20.1%13.076199%21.891251%13.076199%13.1%139186-0.000000%-4.641350%-5.227578%0.000000%0.0%0.000000%0.000000%4.641350%0.000000%0.0%00-0.000000%-4.065041%-7.263631%0.000000%0.0%0.000000%13.513514%4.065041%13.513514%13.5%100
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 Watertown Area

There are 27 county subdivisions in the Watertown Area. This section compares Waterloo to all of the county subdivisions in the Watertown Area and to those entities that contain or substantially overlap with Waterloo.

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 Waterloo, selected other county subdivisions in the Watertown Area, and entities that contain Waterloo
0%5%10%Count#WaterlooWaterlooWhitewaterWaterloo School DistrictWaterlooUnited States of AmericaUnited StatesZIP Code 53594ZIP 53594Fort Atkinson100400Tract 100400East North CentralSullivanMidwestJeffersonWatertownTown of HebronHebronPalmyraTown of Cold SpringCold SpgTown of WatertownWatertownWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonTown of JeffersonJeffersonTown of AztalanAztalanWisconsinTown of FarmingtonFarmingtonLake MillsTown of PalmyraPalmyraTown of KoshkonongKoshkonongTown of MilfordMilfordTown of SumnerSumnerTown of IxoniaIxoniaTown of SullivanSullivanJohnson CreekTown of ConcordConcordTown of Lake MillsLk MillsTown of OaklandOaklandTown of WaterlooWaterlooCambridge14.997833%14.997833%15.0%34614.997833%14.997833%15.0%346114.990138%14.990138%15.0%76213.400465%13.400465%13.4%51913.020590%13.020590%13.0%27,818,38027.8M12.864865%12.864865%12.9%47611.970314%11.970314%12.0%1,000310.961810%10.961810%11.0%46510.719464%10.719464%10.7%3,363,7843.36M10.392157%10.392157%10.4%53410.244520%10.244520%10.2%4,641,8354.64M9.679794%9.679794%9.7%52659.325797%9.325797%9.3%92469.177592%9.177592%9.2%7778.990670%8.990670%9.0%10688.970100%8.970100%9.0%5498.945260%8.945260%8.9%134108.872860%8.872860%8.9%5,0688.872860%8.872860%8.9%5,0688.730692%8.730692%8.7%130118.707608%8.707608%8.7%95128.637220%8.637220%8.6%336,096336k8.471276%8.471276%8.5%87137.631709%7.631709%7.6%310147.488479%7.488479%7.5%65157.166483%7.166483%7.2%195166.900585%6.900585%6.9%59176.777108%6.777108%6.8%45186.764989%6.764989%6.8%211196.220930%6.220930%6.2%107206.101866%6.101866%6.1%121216.027919%6.027919%6.0%95225.488621%5.488621%5.5%82235.177220%5.177220%5.2%130245.000000%5.000000%5.0%38255.000000%5.000000%5.0%226
Count number of people in category
# rank of county subdivision out of 26 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 Waterloo, selected other county subdivisions in the Watertown Area, and entities that contain Waterloo
0%10%20%30%40%Count#CambridgeTown of Lake MillsLk MillsLake MillsJohnson CreekTown of KoshkonongKoshkonongUnited States of AmericaUnited StatesTown of PalmyraPalmyraTown of WaterlooWaterlooMidwestTown of Cold SpringCold SpgEast North CentralWisconsinTown of OaklandOaklandTown of AztalanAztalanTown of MilfordMilfordTown of IxoniaIxoniaWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonWhitewaterFort AtkinsonWatertown100400Tract 100400JeffersonTown of JeffersonJeffersonTown of FarmingtonFarmingtonTown of WatertownWatertownSullivanTown of SumnerSumnerTown of ConcordConcordTown of HebronHebronZIP Code 53594ZIP 53594Town of SullivanSullivanWaterloo School DistrictWaterlooWaterlooWaterlooPalmyra40.000000%40.000000%40.0%16138.018742%38.018742%38.0%568235.622846%35.622846%35.6%1,447333.434191%33.434191%33.4%663431.091510%31.091510%31.1%846530.315023%30.315023%30.3%64,767,78764.8M30.069124%30.069124%30.1%261629.736842%29.736842%29.7%226728.952816%28.952816%29.0%13,118,64213.1M28.903654%28.903654%28.9%174828.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.642772%26.642772%26.6%669925.389551%25.389551%25.4%2771024.912281%24.912281%24.9%2131124.430907%24.430907%24.4%7621223.470710%23.470710%23.5%13,40613.4k23.470710%23.470710%23.5%13,40613.4k23.274162%23.274162%23.3%1181322.276754%22.276754%22.3%1,8611420.619701%20.619701%20.6%2,0431519.448373%19.448373%19.4%82519.377990%19.377990%19.4%1,0531619.341840%19.341840%19.3%2881718.500487%18.500487%18.5%1901818.357810%18.357810%18.4%2751918.235294%18.235294%18.2%932018.222892%18.222892%18.2%1212118.020305%18.020305%18.0%2842217.878427%17.878427%17.9%1502317.864865%17.864865%17.9%66117.267442%17.267442%17.3%2972416.731216%16.731216%16.7%64814.954486%14.954486%15.0%34514.954486%14.954486%15.0%3452514.079729%14.079729%14.1%16626
Count number of people in category
# rank of county subdivision out of 26 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 Waterloo, selected other county subdivisions in the Watertown Area, and entities that contain Waterloo
0%5%10%Count#CambridgeTown of Cold SpringCold SpgTown of KoshkonongKoshkonongWhitewaterUnited States of AmericaUnited StatesTown of Lake MillsLk MillsMidwestEast North CentralTown of WaterlooWaterlooWisconsinTown of AztalanAztalanJeffersonTown of OaklandOaklandTown of HebronHebronTown of JeffersonJeffersonTown of MilfordMilfordWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonFort AtkinsonTown of WatertownWatertownTown of SullivanSullivanTown of IxoniaIxoniaWatertownLake MillsZIP Code 53594ZIP 53594100400Tract 100400Waterloo School DistrictWaterlooTown of PalmyraPalmyraTown of ConcordConcordPalmyraJohnson CreekSullivanWaterlooWaterlooTown of FarmingtonFarmingtonTown of SumnerSumner12.500000%12.500000%12.5%514.983389%4.983389%5.0%3024.410143%4.410143%4.4%12034.339250%4.339250%4.3%2243.336158%3.336158%3.3%7,127,6737.13M2.945114%2.945114%2.9%4452.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.763158%2.763158%2.8%2162.703886%2.703886%2.7%105,215105k2.383135%2.383135%2.4%2672.079499%2.079499%2.1%11382.031063%2.031063%2.0%5191.907032%1.907032%1.9%16101.880457%1.880457%1.9%28111.754386%1.754386%1.8%15121.735005%1.735005%1.7%9911.735005%1.735005%1.7%9911.687814%1.687814%1.7%141131.668892%1.668892%1.7%25141.627907%1.627907%1.6%28151.378647%1.378647%1.4%43161.362535%1.362535%1.4%135171.329394%1.329394%1.3%54181.162162%1.162162%1.2%431.131542%1.131542%1.1%481.006971%1.006971%1.0%390.921659%0.921659%0.9%8190.888325%0.888325%0.9%14200.848176%0.848176%0.8%10210.806858%0.806858%0.8%16220.784314%0.784314%0.8%4230.606849%0.606849%0.6%140.606849%0.606849%0.6%14240.486855%0.486855%0.5%5250.451807%0.451807%0.5%326
Count number of people in category
# rank of county subdivision out of 26 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 Waterloo, selected other county subdivisions in the Watertown Area, and entities that contain Waterloo
Female
Male
0x5x10xFM#CambridgePalmyraMilfordOaklandPalmyraAztalanIxoniaLk MillsHebronConcordWhitewaterFarmingtonCold SpgSullivanWaterlooJohnson CreekKoshkonongWisconsinSumnerWatertownMidwestEast North CentralUnited StatesSullivanWatertownJeffersonWatertownJeffersonLake MillsJeffersonWaterlooFort AtkinsonTract 100400ZIP 53594WaterlooWaterloo-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.765%11.8%1-1.000000x-1.000000x3.266667x3.266667x3.27x3.571%3.57%11.667%11.7%2-1.000000x-1.000000x3.214629x3.214629x3.21x3.194%3.19%10.268%10.3%3-1.000000x-1.000000x3.032383x3.032383x3.03x2.535%2.53%7.686%7.69%4-1.000000x-1.000000x2.478690x2.478690x2.48x5.297%5.30%13.129%13.1%5-1.000000x-1.000000x2.448797x2.448797x2.45x4.912%4.91%12.027%12.0%6-1.000000x-1.000000x2.441733x2.441733x2.44x3.925%3.93%9.585%9.58%7-1.000000x-1.000000x1.954563x1.954563x1.95x3.723%3.72%7.278%7.28%8-1.000000x-1.000000x1.865742x1.865742x1.87x6.357%6.36%11.860%11.9%9-1.000000x-1.000000x1.781249x1.781249x1.78x4.302%4.30%7.664%7.66%10-1.000000x-1.000000x1.763319x1.763319x1.76x10.294%10.3%18.152%18.2%11-1.000000x-1.000000x1.688888x1.688888x1.69x6.287%6.29%10.618%10.6%12-1.000000x-1.000000x1.633550x1.633550x1.63x6.780%6.78%11.075%11.1%13-1.000000x-1.000000x1.572104x1.572104x1.57x7.895%7.89%12.411%12.4%14-1.000000x-1.000000x1.534735x1.534735x1.53x3.900%3.90%5.985%5.99%15-1.000000x-1.000000x1.525442x1.525442x1.53x4.834%4.83%7.374%7.37%16-1.000000x-1.000000x1.402916x1.402916x1.40x5.932%5.93%8.321%8.32%17-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.169825x1.169825x1.17x6.231%6.23%7.289%7.29%18-1.000000x-1.000000x1.155105x1.155105x1.16x8.300%8.30%9.587%9.59%19-1.000000x-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-1.000000x1.095244x1.095244x1.10x5.943%5.94%6.509%6.51%20-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-1.000000x-1.000000x1.007758x1.007758x1.01x9.292%9.29%9.364%9.36%21-1.042524x-1.042524x1.04x1.000000x1.000000x8.916%8.92%8.553%8.55%22-1.196552x-1.196552x1.20x1.000000x1.000000x8.333%8.33%6.964%6.96%23-1.196956x-1.196956x1.20x1.000000x1.000000x10.488%10.5%8.762%8.76%24-1.306849x-1.306849x1.31x1.000000x1.000000x15.342%15.3%11.739%11.7%-1.335183x-1.335183x1.34x1.000000x1.000000x13.507%13.5%10.116%10.1%25-1.360593x-1.360593x1.36x1.000000x1.000000x12.772%12.8%9.387%9.39%-1.385659x-1.385659x1.39x1.000000x1.000000x15.116%15.1%10.909%10.9%-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%26
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 26 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 Waterloo, selected other county subdivisions in the Watertown Area, and entities that contain Waterloo
Female
Male
0x5x10xFM#WaterlooWaterlooConcordFarmingtonSumnerSullivanKoshkonongCold SpgLake MillsWatertownWaterlooAztalanWatertownWatertownJeffersonSullivanEast North CentralMidwestWisconsinUnited StatesOaklandLk MillsFort AtkinsonZIP 53594Tract 100400JeffersonWhitewaterHebronCambridgeJohnson CreekPalmyraWaterlooPalmyraJeffersonMilfordIxonia-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.731%1.73%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.965%0.97%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.875%0.87%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.418%1.42%5-1.000000x-1.000000x4.971738x4.971738x4.97x1.445%1.44%7.183%7.18%6-1.000000x-1.000000x3.843648x3.843648x3.84x2.034%2.03%7.818%7.82%7-1.000000x-1.000000x3.328530x3.328530x3.33x0.606%0.61%2.017%2.02%8-1.000000x-1.000000x3.292997x3.292997x3.29x0.653%0.65%2.149%2.15%9-1.000000x-1.000000x2.481744x2.481744x2.48x0.560%0.56%1.390%1.39%-1.000000x-1.000000x1.967784x1.967784x1.97x1.572%1.57%3.093%3.09%10-1.000000x-1.000000x1.768309x1.768309x1.77x1.205%1.20%2.130%2.13%11-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.600323x1.600323x1.60x1.257%1.26%2.012%2.01%12-1.000000x-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-1.000000x1.356477x1.356477x1.36x1.717%1.72%2.329%2.33%13-1.000000x-1.000000x1.333522x1.333522x1.33x2.527%2.53%3.369%3.37%14-1.000000x-1.000000x1.332608x1.332608x1.33x1.467%1.47%1.955%1.95%15-1.000000x-1.000000x1.328580x1.328580x1.33x0.988%0.99%1.313%1.31%-1.000000x-1.000000x1.217364x1.217364x1.22x1.014%1.01%1.234%1.23%-1.000000x-1.000000x1.038966x1.038966x1.04x2.042%2.04%2.122%2.12%16-1.028281x-1.028281x1.03x1.000000x1.000000x4.412%4.41%4.290%4.29%17-1.051345x-1.051345x1.05x1.000000x1.000000x1.956%1.96%1.860%1.86%18-1.108696x-1.108696x1.11x1.000000x1.000000x13.043%13.0%11.765%11.8%19-1.281830x-1.281830x1.28x1.000000x1.000000x0.906%0.91%0.707%0.71%20-1.338684x-1.338684x1.34x1.000000x1.000000x0.963%0.96%0.719%0.72%21-1.489322x-1.489322x1.49x1.000000x1.000000x3.343%3.34%2.244%2.24%22-1.562500x-1.562500x1.56x1.000000x1.000000x1.116%1.12%0.714%0.71%23-2.200884x-2.200884x2.20x1.000000x1.000000x2.606%2.61%1.184%1.18%24-2.201474x-2.201474x2.20x1.000000x1.000000x2.457%2.46%1.116%1.12%25-4.405968x-4.405968x4.41x1.000000x1.000000x2.252%2.25%0.511%0.51%26
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 26 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares Waterloo to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Waterloo. 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 Waterloo, selected other county subdivisions in Wisconsin, and entities that contain Waterloo
0%5%10%15%Count#BeloitRacineMilwaukeeWaterlooWaterlooWaterloo School DistrictWaterlooUnited States of AmericaUnited StatesZIP Code 53594ZIP 53594Green BaySheboyganKenoshaManitowocCudahy100400Tract 100400WausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k314.997833%14.997833%15.0%34614.997833%14.997833%15.0%34613.400465%13.400465%13.4%51913.020590%13.020590%13.0%27,818,38027.8M12.864865%12.864865%12.9%47612.535944%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%1,455810.961810%10.961810%11.0%46510.776184%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%1,379138.872860%8.872860%8.9%5,0688.872860%8.872860%8.9%5,0688.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Waterloo, selected other county subdivisions in Wisconsin, and entities that contain Waterloo
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboygan100400Tract 100400Beaver DamZIP Code 53594ZIP 53594RacineWaterloo School DistrictWaterlooBeloitWisconsin RapidsWaterlooWaterloo63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%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%85,81285.8k3923.470710%23.470710%23.5%13,40613.4k23.470710%23.470710%23.5%13,40613.4k22.927488%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%6,3844619.448373%19.448373%19.4%82518.623951%18.623951%18.6%2,0874717.864865%17.864865%17.9%66117.525031%17.525031%17.5%8,5244816.731216%16.731216%16.7%64816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,0035014.954486%14.954486%15.0%34514.954486%14.954486%15.0%345
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 Waterloo, selected other county subdivisions in Wisconsin, and entities that contain Waterloo
0%2%4%6%8%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 BayKenoshaWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisZIP Code 53594ZIP 53594RacineManitowoc100400Tract 100400Waterloo School DistrictWaterlooSouth MilwaukeeS MilwaukeeSheboyganAshwaubenonWaterlooWaterloo11.084724%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%1,193351.762204%1.762204%1.8%1,123361.735005%1.735005%1.7%9911.735005%1.735005%1.7%9911.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.162162%1.162162%1.2%431.155451%1.155451%1.2%562461.133972%1.133972%1.1%264471.131542%1.131542%1.1%481.006971%1.006971%1.0%390.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%94500.606849%0.606849%0.6%140.606849%0.606849%0.6%14
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 Waterloo, selected other county subdivisions in Wisconsin, and entities that contain Waterloo
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsWatertownJeffersonBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonWaterlooTract 100400MenomonieZIP 53594OconomowocWaterlooWaterloo-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%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-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-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%48-1.306849x-1.306849x1.31x1.000000x1.000000x15.342%15.3%11.739%11.7%-1.360593x-1.360593x1.36x1.000000x1.000000x12.772%12.8%9.387%9.39%-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.385659x-1.385659x1.39x1.000000x1.000000x15.116%15.1%10.909%10.9%-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%
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 Waterloo, selected other county subdivisions in Wisconsin, and entities that contain Waterloo
Female
Male
0x5x10xFM#WaterlooWaterlooNeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardWaterlooMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWatertownJeffersonWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereZIP 53594Grand ChuteKenoshaTract 100400GermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%-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-1.000000x2.481744x2.481744x2.48x0.560%0.56%1.390%1.39%-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-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.328580x1.328580x1.33x0.988%0.99%1.313%1.31%-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-1.000000x1.217364x1.217364x1.22x1.014%1.01%1.234%1.23%-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 Waterloo to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Waterloo. 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 Waterloo, selected other county subdivisions in the Midwest, and entities that contain Waterloo
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenWaterlooWaterlooGrand RapidsToledoBlue TownshipCincinnatiAkronWaterloo School DistrictWaterlooSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonZIP Code 53594ZIP 53594WichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopeka100400Tract 100400MinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.997833%14.997833%15.0%34614.997833%14.997833%15.0%34614.563179%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%17,95118.0k1913.400465%13.400465%13.4%51913.278342%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%14,37014.4k2212.864865%12.864865%12.9%47612.568464%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%9,3772910.961810%10.961810%11.0%46510.958428%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%9,123348.872860%8.872860%8.9%5,0688.872860%8.872860%8.9%5,0688.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Waterloo, selected other county subdivisions in the Midwest, and entities that contain Waterloo
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipN100400Tract 100400Thornton TownshipThorntonToledoZIP Code 53594ZIP 53594DaytonWarrenWayne TownshipWayneWaterloo School DistrictWaterlooKansas CityClevelandAurora TownshipAuroraBlue TownshipWaterlooWaterlooDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3623.470710%23.470710%23.5%13,40613.4k23.470710%23.470710%23.5%13,40613.4k21.592552%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%20,02920.0k4019.448373%19.448373%19.4%82518.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.864865%17.864865%17.9%66117.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.731216%16.731216%16.7%64816.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4914.954486%14.954486%15.0%34514.954486%14.954486%15.0%34513.833543%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 Waterloo, selected other county subdivisions in the Midwest, and entities that contain Waterloo
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 TownshipWorthClevelandWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneZIP Code 53594ZIP 53594100400Tract 100400WarrenWaterloo School DistrictWaterlooBlue TownshipAurora TownshipAuroraThornton TownshipThorntonWaterlooWaterloo17.877867%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%4,911391.735005%1.735005%1.7%9911.735005%1.735005%1.7%9911.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.162162%1.162162%1.2%431.131542%1.131542%1.1%481.047058%1.047058%1.0%963471.006971%1.006971%1.0%390.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.606849%0.606849%0.6%140.606849%0.606849%0.6%14
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 Waterloo, selected other county subdivisions in the Midwest, and entities that contain Waterloo
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgWatertownJeffersonChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineWaterlooTract 100400ZIP 53594WaterlooWaterloo-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%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-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-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%50-1.306849x-1.306849x1.31x1.000000x1.000000x15.342%15.3%11.739%11.7%-1.360593x-1.360593x1.36x1.000000x1.000000x12.772%12.8%9.387%9.39%-1.385659x-1.385659x1.39x1.000000x1.000000x15.116%15.1%10.909%10.9%-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%
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 Waterloo, selected other county subdivisions in the Midwest, and entities that contain Waterloo
Female
Male
0x5x10xFM#WaterlooWaterlooWaterlooRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaWatertownJeffersonFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsZIP 53594ClevelandCincinnatiSt. PaulSt. LouisChicagoWayneTract 100400CtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%-1.000000x-1.000000x2.481744x2.481744x2.48x0.560%0.56%1.390%1.39%-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-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.328580x1.328580x1.33x0.988%0.99%1.313%1.31%-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-1.000000x1.217364x1.217364x1.22x1.014%1.01%1.234%1.23%-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 Waterloo to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Waterloo. 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 Waterloo, selected other county subdivisions in the United States, and entities that contain Waterloo
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 VegasWaterlooWaterlooPhoenixBostonSacramentoOrlandoAustinDenverWaterloo School DistrictWaterlooUnited States of AmericaUnited StatesManhattanSan DiegoTampaZIP Code 53594ZIP 53594San JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsa100400Tract 100400East North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonSeattleWisconsinNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.997833%14.997833%15.0%34614.997833%14.997833%15.0%34614.952077%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%63,86563.9k3113.400465%13.400465%13.4%51913.020590%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%57,75857.8k3412.864865%12.864865%12.9%47612.789590%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%43,65343.7k4110.961810%10.961810%11.0%46510.719464%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%37,37337.4k468.872860%8.872860%8.9%5,0688.872860%8.872860%8.9%5,0688.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Waterloo, selected other county subdivisions in the United States, and entities that contain Waterloo
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonFresnoLas VegasEl Paso100400Tract 100400BronxZIP Code 53594ZIP 53594Waterloo School DistrictWaterlooSan BernardinoWaterlooWaterlooSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%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%85,81285.8k4323.470710%23.470710%23.5%13,40613.4k23.470710%23.470710%23.5%13,40613.4k22.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.448373%19.448373%19.4%82519.131504%19.131504%19.1%173,169173k4717.864865%17.864865%17.9%66116.731216%16.731216%16.7%64816.375473%16.375473%16.4%80,59580.6k4814.954486%14.954486%15.0%34514.954486%14.954486%15.0%34514.929012%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 Waterloo, selected other county subdivisions in the United States, and entities that contain Waterloo
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 CntrlEl PasoWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonSouthwest DallasSW DallasBronxDetroitZIP Code 53594ZIP 53594100400Tract 100400Waterloo School DistrictWaterlooWaterlooWaterloo12.461852%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%7,845461.745764%1.745764%1.7%5,975471.735005%1.735005%1.7%9911.735005%1.735005%1.7%9911.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.162162%1.162162%1.2%431.131542%1.131542%1.1%481.006971%1.006971%1.0%390.606849%0.606849%0.6%140.606849%0.606849%0.6%14
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 Waterloo, selected other county subdivisions in the United States, and entities that contain Waterloo
Female
Male
1x0x1xFM#1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinWatertownJeffersonAtlantaFort 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 PasoWaterlooTract 100400ZIP 53594WaterlooWaterloo-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%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-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-1.000000x-1.000000x1.074639x1.074639x1.07x8.559%8.56%9.197%9.20%-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%50-1.306849x-1.306849x1.31x1.000000x1.000000x15.342%15.3%11.739%11.7%-1.360593x-1.360593x1.36x1.000000x1.000000x12.772%12.8%9.387%9.39%-1.385659x-1.385659x1.39x1.000000x1.000000x15.116%15.1%10.909%10.9%-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%-1.948464x-1.948464x1.95x1.000000x1.000000x20.260%20.3%10.398%10.4%
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 Waterloo, selected other county subdivisions in the United States, and entities that contain Waterloo
Female
Male
0x5x10xFM#WaterlooWaterlooWaterlooEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixWatertownJeffersonTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaZIP 53594Oceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonTract 100400BronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.137%1.14%-1.000000x-1.000000x2.481744x2.481744x2.48x0.560%0.56%1.390%1.39%-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-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.652660x1.652660x1.65x1.313%1.31%2.170%2.17%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.328580x1.328580x1.33x0.988%0.99%1.313%1.31%-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-1.000000x1.217364x1.217364x1.22x1.014%1.01%1.234%1.23%-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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State:
Wisconsin
County:
Jefferson
Metro Area:
Watertown Area
City:
Waterloo
ZIP Code:
53594
Unified School District:
Waterloo
Congressional District:
WI-5
State Senate District:
WI-13
Assembly District:
WI-37
Neighboring Towns:
Medina, Portland, Waterloo, York
Nearby Towns:
Bristol, Deerfield, Elba, Lake Mills, Milford, Shields, Sun Prairie