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

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Jefferson County and Watertown
Watertown
Jefferson County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.895034%34.187121%29.895034%29.9%2,96260.779168%56.940019%60.779168%60.8%6,0229.325797%8.872860%9.325797%9.3%924
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 Watertown
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-12.554690%-12.554690%-12.6%29.895%29.9%34.187%34.2%6.742445%6.742445%+6.7%60.779%60.8%56.940%56.9%5.104754%5.104754%+5.1%9.326%9.33%8.873%8.87%
% percentage with given level in Watertown
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 Watertown
Watertown
Jefferson County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.625757%0.707308%0.625757%0.6%620.736778%1.027697%0.736778%0.7%735.197820%5.299555%5.197820%5.2%51514.059346%16.436150%14.059346%14.1%1,3939.275333%10.716412%9.275333%9.3%91921.386758%21.250744%21.386758%21.4%2,11939.392410%35.689275%39.392410%39.4%3,9035.157449%5.355580%5.157449%5.2%5112.563585%2.144683%2.563585%2.6%2541.604764%1.372597%1.604764%1.6%159
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 Watertown
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-11.529737%-11.529737%-11.5%0.626%0.63%0.707%0.71%-28.307826%-28.307826%-28.3%0.737%0.74%1.028%1.03%-1.919696%-1.919696%-1.9%5.198%5.20%5.300%5.30%-14.460830%-14.460830%-14.5%14.059%14.1%16.436%16.4%-13.447398%-13.447398%-13.4%9.275%9.28%10.716%10.7%0.640044%0.640044%+0.6%21.387%21.4%21.251%21.3%10.376045%10.376045%+10.4%39.392%39.4%35.689%35.7%-3.699528%-3.699528%-3.7%5.157%5.16%5.356%5.36%19.532120%19.532120%+19.5%2.564%2.56%2.145%2.14%16.914414%16.914414%+16.9%1.605%1.60%1.373%1.37%
% percentage with given level in Watertown
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 Watertown
More Females More Males
Jefferson County
Watertown
20%10%0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-28.091244%-21.490639%-28.091244%28%33.365%33.4%26.048%26.0%12.634746%11.084708%12.634746%13%57.343%57.3%64.588%64.6%0.775794%7.463865%0.775794%1%9.292%9.29%9.364%9.36%
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 Watertown
More Females More Males
Jefferson County
Watertown
0%200%400%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None413.956548%72.950651%413.956548%414%0.211%0.21%1.085%1.09%140.985594%60.220841%140.985594%141%0.442%0.44%1.064%1.06%-43.489359%2.167101%2.167101%2%5.145%5.14%5.256%5.26%-81.785313%-26.473220%-81.785313%82%17.873%17.9%9.832%9.83%-10.037857%-17.894690%-10.037857%10%9.695%9.69%8.810%8.81%-8.701681%-4.164887%-8.701681%9%22.231%22.2%20.451%20.5%25.702513%21.201753%25.702513%26%35.112%35.1%44.137%44.1%53.847906%25.588605%53.847906%54%4.108%4.11%6.320%6.32%-167.808720%-21.676278%-167.808720%168%3.648%3.65%1.362%1.36%-12.356149%9.467706%9.467706%9%1.536%1.54%1.681%1.68%
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 Watertown
Watertown
Jefferson County
0%5%10%15%20%B.X.Total65+45-6435-4425-3410.187008%10.599921%10.187008%10.2%2072,03212.190424%14.870135%12.190424%12.2%4433,63412.849436%19.751225%12.849436%12.8%2622,03921.833863%24.177615%21.833863%21.8%4812,203
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 Watertown
30%20%10%0%%ref.65+45-6435-4425-34-3.895432%-3.895432%3.9%10.187%10.2%10.600%10.6%-18.020761%-18.020761%18.0%12.190%12.2%14.870%14.9%-34.943600%-34.943600%34.9%12.849%12.8%19.751%19.8%-9.693892%-9.693892%9.7%21.834%21.8%24.178%24.2%
% percentage in Watertown 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 Watertown
More Females More Males
Jefferson County
Watertown
200%150%100%50%0%FM65+45-6435-4425-34-98.077047%-98.077047%98.1%20.212873%12.600%12.6%6.361%6.36%-38.138280%-24.734946%-38.138280%38.1%14.100%14.1%10.208%10.2%-16.340320%-15.080921%-16.340320%16.3%13.803%13.8%11.864%11.9%-249.132590%-91.168861%-249.132590%249.1%34.387%34.4%9.849%9.85%
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 Watertown
Watertown
Jefferson County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$38,401.000000$55,640.000000$38,401.000000$38.4k6506.560%6.56%$36,591.000000$44,084.000000$36,591.000000$36.6k1,39314.059%14.1%$37,034.000000$37,485.000000$37,034.000000$37.0k3,03830.662%30.7%$30,527.000000$31,473.000000$30,527.000000$30.5k3,90339.392%39.4%$20,342.000000$21,575.000000$20,342.000000$20.3k9249.326%9.33%$32,274.000000$36,302.000000$32,274.000000$32.3k9,908100.000%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 Watertown
Female Male
Jefferson County
Watertown
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-38,162.000000$-51,452.000000$-38,162.000000$38.2k$38,162.000000$3,088.000000$51,452.000000$11,262.000000$41,250.000000$41.3k302348$-28,980.000000$-37,572.000000$-28,980.000000$29.0k$28,980.000000$21,721.000000$37,572.000000$19,634.000000$50,701.000000$50.7k931462$-26,053.000000$-30,126.000000$-26,053.000000$26.1k$26,053.000000$22,398.000000$30,126.000000$16,103.000000$48,451.000000$48.5k1,6631,375$-23,885.000000$-24,794.000000$-23,885.000000$23.9k$23,885.000000$12,625.000000$24,794.000000$12,704.000000$36,510.000000$36.5k1,8292,074$-18,547.000000$-2,391.000000$-20,753.000000$-20,938.000000$20.9k$18,547.000000$20,753.000000$2,845.000000$18,547.000000$18.5k484440$-25,066.000000$-30,160.000000$-25,066.000000$25.1k$25,066.000000$15,761.000000$30,160.000000$12,064.000000$40,827.000000$40.8k5,2094,699
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 Watertown
Watertown
Jefferson County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.412178%87.343582%87.412178%87.4%1,49380.273660%83.379970%80.273660%80.3%2,11279.328255%77.689270%79.328255%79.3%2,29163.174114%58.480243%63.174114%63.2%410
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 Watertown
Female Male
Jefferson County
Watertown
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-7.859635%-6.765063%-7.859635%7.9%7.859635%0.019431%6.765063%0.806060%7.879066%7.9%344383-0.000000%-31.818182%-21.782178%-31.818182%31.8%0.000000%21.782178%12.741631%0.000000%0.0%07-0.000000%-5.202312%0.000000%0.0%0.000000%0.000000%5.202312%11.464355%0.000000%0.0%00-41.921397%-3.581248%-35.021097%-9.620383%-45.502646%45.5%41.921397%35.021097%41.921397%41.9%9686-27.619048%-22.357724%-12.747172%-27.619048%27.6%27.619048%6.507937%22.357724%34.126984%34.1%4329
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 Watertown
Female Male
Jefferson County
Watertown
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-17.315621%-6.324847%-21.891251%-4.856145%-23.640468%23.6%17.315621%21.891251%17.315621%17.3%7561,152-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%14.285714%0.000000%0.0%00-31.707317%-35.185185%-0.074930%-31.707317%31.7%31.707317%20.924262%35.185185%52.631579%52.6%2013-14.847162%-15.311569%-4.641350%-5.227578%-30.158730%30.2%14.847162%4.641350%14.847162%14.8%3457-0.000000%-10.476190%-4.065041%-7.263631%-10.476190%10.5%0.000000%4.065041%0.000000%0.0%011
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Watertown

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

Percentage of the population 25 years and older with given highest level of educational attainment
28.1%29.9%31.7%33.5%35.3%37.2%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
55.0%56.3%57.6%58.9%60.2%61.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.2%6.7%8.2%9.8%11.3%12.8%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.25%0.50%0.75%1.00%1.25%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.29%0.59%0.88%1.18%1.47%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%4.0%4.7%5.3%5.9%6.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
12.8%13.4%14.0%14.6%15.2%15.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.2%8.8%10.3%11.9%13.4%15.0%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
17.6%18.6%19.6%20.5%21.5%22.5%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
34.6%36.5%38.3%40.2%42.0%43.9%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%2.9%4.2%5.4%6.7%8.0%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
1.18%1.49%1.79%2.10%2.40%2.71%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.2%1.8%2.4%3.0%
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Educational Attainment by County Subdivision in the Watertown Area

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
0%5%10%Count#WaterlooWhitewaterUnited States of AmericaUnited StatesFort AtkinsonEast North CentralSullivanMidwestWatertownJeffersonWatertown School DistrictWatertownWatertownZIP Code 53094ZIP 53094Town 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%346114.990138%14.990138%15.0%76213.020590%13.020590%13.0%27,818,38027.8M11.970314%11.970314%12.0%1,000310.719464%10.719464%10.7%3,363,7843.36M10.392157%10.392157%10.4%53410.244520%10.244520%10.2%4,641,8354.64M9.964969%9.964969%10.0%1,5939.679794%9.679794%9.7%52659.588654%9.588654%9.6%2,0359.325797%9.325797%9.3%92469.247698%9.247698%9.2%1,1859.177592%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
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 AtkinsonWatertownZIP Code 53094ZIP 53094WatertownWatertown School DistrictWatertownJeffersonTown of JeffersonJeffersonTown of FarmingtonFarmingtonTown of WatertownWatertownSullivanTown of SumnerSumnerTown of ConcordConcordTown of HebronHebronTown of SullivanSullivanWaterlooPalmyra40.000000%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%1,8611421.037158%21.037158%21.0%3,36320.914625%20.914625%20.9%2,68020.619701%20.619701%20.6%2,0431520.562597%20.562597%20.6%4,36419.377990%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%1502317.267442%17.267442%17.3%2972414.954486%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
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 IxoniaIxoniaWatertownZIP Code 53094ZIP 53094Lake MillsWatertown School DistrictWatertownWatertownTown of PalmyraPalmyraTown of ConcordConcordPalmyraJohnson CreekSullivanWaterlooTown 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%135171.334478%1.334478%1.3%1711.329394%1.329394%1.3%54181.328747%1.328747%1.3%2821.319905%1.319905%1.3%2110.921659%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%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
Female
Male
0x5x10xFM#CambridgePalmyraMilfordOaklandPalmyraAztalanIxoniaLk MillsHebronConcordWhitewaterFarmingtonCold SpgSullivanWaterlooJohnson CreekKoshkonongWisconsinWatertownSumnerWatertownZIP 53094MidwestEast North CentralUnited StatesWatertownSullivanWatertownJeffersonWatertownJeffersonLake MillsJeffersonFort AtkinsonWaterloo-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-1.000000x1.191436x1.191436x1.19x8.781%8.78%10.462%10.5%-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-1.000000x1.144378x1.144378x1.14x8.645%8.65%9.893%9.89%-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-1.000000x1.108964x1.108964x1.11x9.478%9.48%10.511%10.5%-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%24-1.335183x-1.335183x1.34x1.000000x1.000000x13.507%13.5%10.116%10.1%25-1.948464x-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#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
Female
Male
0x5x10xFM#WaterlooConcordFarmingtonSumnerSullivanKoshkonongCold SpgLake MillsWatertownZIP 53094AztalanWatertownWatertownWatertownWatertownJeffersonSullivanEast North CentralMidwestWisconsinUnited StatesOaklandLk MillsFort AtkinsonJeffersonWhitewaterHebronCambridgeJohnson CreekPalmyraWaterlooPalmyraJeffersonMilfordIxonia-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-1.000000x3.189438x3.189438x3.19x0.649%0.65%2.069%2.07%-1.000000x-1.000000x1.967784x1.967784x1.97x1.572%1.57%3.093%3.09%10-1.000000x-1.000000x1.937041x1.937041x1.94x0.916%0.92%1.775%1.77%-1.000000x-1.000000x1.912414x1.912414x1.91x0.923%0.92%1.765%1.77%-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-1.000000x1.038966x1.038966x1.04x2.042%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 Watertown to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Watertown. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in Wisconsin, and entities that contain Watertown
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshWatertownBeaver DamWatertown School DistrictWatertownWatertownZIP Code 53094ZIP 53094South 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%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.964969%9.964969%10.0%1,5939.950027%9.950027%10.0%1,115129.588654%9.588654%9.6%2,0359.325797%9.325797%9.3%9249.247698%9.247698%9.2%1,1859.190270%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in Wisconsin, and entities that contain Watertown
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 CountyJeffersonKenoshaSuperiorJanesvilleCudahyWatertownManitowocZIP Code 53094ZIP 53094WatertownWatertown School DistrictWatertownSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%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%2,8194321.037158%21.037158%21.0%3,36321.017138%21.017138%21.0%4,8934420.914625%20.914625%20.9%2,68020.619701%20.619701%20.6%2,04320.562597%20.562597%20.6%4,36420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in Wisconsin, and entities that contain Watertown
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 BayKenoshaWatertown and Fort Atkinson Metro AreaWatertownJefferson CountyJeffersonWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardWatertownZIP Code 53094ZIP 53094Watertown School DistrictWatertownWatertownCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%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%178421.362535%1.362535%1.4%1351.334478%1.334478%1.3%1711.328747%1.328747%1.3%2821.319905%1.319905%1.3%2111.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in Wisconsin, and entities that contain Watertown
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownWatertownMadisonMuskegoKenoshaMequonZIP 53094MidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesWatertownEau ClaireWisconsin RapidsMenomonee FallsWatertownJeffersonBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinWatertownSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%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-1.000000x1.191436x1.191436x1.19x8.781%8.78%10.462%10.5%-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-1.000000x1.144378x1.144378x1.14x8.645%8.65%9.893%9.89%-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-1.000000x1.108964x1.108964x1.11x9.478%9.48%10.511%10.5%-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-1.000000x1.007758x1.007758x1.01x9.292%9.29%9.364%9.36%-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in Wisconsin, and entities that contain Watertown
Female
Male
1x0x1x2x3xFM#WatertownZIP 53094NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauWatertownWatertownFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWatertownJeffersonWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.292997x3.292997x3.29x0.653%0.65%2.149%2.15%-1.000000x-1.000000x3.189438x3.189438x3.19x0.649%0.65%2.069%2.07%-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-1.000000x1.937041x1.937041x1.94x0.916%0.92%1.775%1.77%-1.000000x-1.000000x1.912414x1.912414x1.91x0.923%0.92%1.765%1.77%-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-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceWatertownSioux FallsWatertown School DistrictWatertownWatertownZIP Code 53094ZIP 53094Watertown 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%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.964969%9.964969%10.0%1,5939.702326%9.702326%9.7%9,123349.588654%9.588654%9.6%2,0359.325797%9.325797%9.3%9249.247698%9.247698%9.2%1,1858.872860%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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
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 TownshipRockfordWatertownZIP Code 53094ZIP 53094WatertownWatertown School DistrictWatertownAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%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%25,23525.2k3721.037158%21.037158%21.0%3,36320.914625%20.914625%20.9%2,68020.619701%20.619701%20.6%2,04320.562597%20.562597%20.6%4,36420.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
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 CityWatertownZIP Code 53094ZIP 53094Watertown School DistrictWatertownWatertownDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%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%1,300431.362535%1.362535%1.4%1351.334478%1.334478%1.3%1711.328747%1.328747%1.3%2821.319905%1.319905%1.3%2111.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonWatertownKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipZIP 53094WayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesWatertownOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgWatertownJeffersonChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonWatertownBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-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-1.000000x1.191436x1.191436x1.19x8.781%8.78%10.462%10.5%-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-1.000000x1.144378x1.144378x1.14x8.645%8.65%9.893%9.89%-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-1.000000x1.108964x1.108964x1.11x9.478%9.48%10.511%10.5%-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-1.000000x1.007758x1.007758x1.01x9.292%9.29%9.364%9.36%-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
Female
Male
1x0x1x2x3xFM#WatertownZIP 53094RockfordNDaytonSioux FallsWatertownWatertownCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaWatertownJeffersonFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x3.292997x3.292997x3.29x0.653%0.65%2.149%2.15%-1.000000x-1.000000x3.189438x3.189438x3.19x0.649%0.65%2.069%2.07%-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-1.000000x1.937041x1.937041x1.94x0.916%0.92%1.775%1.77%-1.000000x-1.000000x1.912414x1.912414x1.91x0.923%0.92%1.765%1.77%-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-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonWatertownWatertown School DistrictWatertownAtlantaWatertownZIP Code 53094ZIP 53094Watertown 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%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.964969%9.964969%10.0%1,5939.588654%9.588654%9.6%2,0359.538552%9.538552%9.5%37,37337.4k469.325797%9.325797%9.3%9249.247698%9.247698%9.2%1,1858.872860%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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
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 PasoWatertownZIP Code 53094ZIP 53094WatertownWatertown School DistrictWatertownBronxSan 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%593,529594k3328.535877%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%72,12072.1k4621.037158%21.037158%21.0%3,36320.914625%20.914625%20.9%2,68020.619701%20.619701%20.6%2,04320.562597%20.562597%20.6%4,36419.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
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 DallasBronxWatertownZIP Code 53094ZIP 53094Watertown School DistrictWatertownWatertownDetroit12.461852%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%15,06415.1k491.362535%1.362535%1.4%1351.334478%1.334478%1.3%1711.328747%1.328747%1.3%2821.319905%1.319905%1.3%2111.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
Female
Male
1x0x1xFM#1, CharlotteDetroitWisconsinWatertownBaltimoreTulsaSW DallasZIP 53094MidwestFresnoEast North CentralMilwaukeeUnited StatesWatertownNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinWatertownJeffersonAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynWatertownSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%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-1.000000x1.191436x1.191436x1.19x8.781%8.78%10.462%10.5%-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-1.000000x1.144378x1.144378x1.14x8.645%8.65%9.893%9.89%-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-1.000000x1.108964x1.108964x1.11x9.478%9.48%10.511%10.5%-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-1.000000x1.007758x1.007758x1.01x9.292%9.29%9.364%9.36%-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
Female
Male
1x0x1x2x3xFM#WatertownZIP 53094El PasoSalt Lk CityWatertownWatertownPlanoTulsaAlbuquerqueNE 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…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x3.292997x3.292997x3.29x0.653%0.65%2.149%2.15%-1.000000x-1.000000x3.189438x3.189438x3.19x0.649%0.65%2.069%2.07%-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-1.000000x1.937041x1.937041x1.94x0.916%0.92%1.775%1.77%-1.000000x-1.000000x1.912414x1.912414x1.91x0.923%0.92%1.765%1.77%-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-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Wisconsin
County:
Jefferson
Metro Area:
Watertown Area
City:
Watertown
ZIP Code:
53094
Unified School District:
Watertown
Congressional District:
WI-5
State Senate District:
WI-13
Assembly District:
WI-37
Neighboring Towns:
Emmet, Watertown
Nearby Towns:
Aztalan, Clyman, Farmington, Ixonia, Lebanon, Milford, Shields