Educational Attainment in Watertown, Jefferson County, New York (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%CountHigher Degree1H.S. Diploma2No H.S. Diploma231.332554%33.357759%31.332554%31.3%5,36157.644652%56.829778%57.644652%57.6%9,86311.022794%9.812463%11.022794%11.0%1,886
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. Diploma2-6.071167%-6.071167%-6.1%31.333%31.3%33.358%33.4%1.433886%1.433886%+1.4%57.645%57.6%56.830%56.8%12.334630%12.334630%+12.3%11.023%11.0%9.812%9.81%
% 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.3None0.549386%0.578082%0.549386%0.5%941.472823%1.286435%1.472823%1.5%2526.686148%7.154101%6.686148%6.7%1,14410.566920%11.735331%10.566920%10.6%1,80812.057276%12.603810%12.057276%12.1%2,06324.599649%22.792162%24.599649%24.6%4,20933.045003%34.037616%33.045003%33.0%5,6547.603741%7.136460%7.603741%7.6%1,3012.285213%1.945937%2.285213%2.3%3911.133840%0.730066%1.133840%1.1%194
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
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-4.963904%-4.963904%-5.0%0.549%0.55%0.578%0.58%14.488677%14.488677%+14.5%1.473%1.47%1.286%1.29%-6.541037%-6.541037%-6.5%6.686%6.69%7.154%7.15%-9.956353%-9.956353%-10.0%10.567%10.6%11.735%11.7%-4.336260%-4.336260%-4.3%12.057%12.1%12.604%12.6%7.930302%7.930302%+7.9%24.600%24.6%22.792%22.8%-2.916224%-2.916224%-2.9%33.045%33.0%34.038%34.0%6.547793%6.547793%+6.5%7.604%7.60%7.136%7.14%17.435105%17.435105%+17.4%2.285%2.29%1.946%1.95%55.306556%55.306556%+55.3%1.134%1.13%0.730%0.73%
% 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
40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-50.058973%-33.826704%-50.058973%50%37.611%37.6%25.064%25.1%22.591177%13.544560%22.591177%23%51.790%51.8%63.490%63.5%7.990902%29.003492%7.990902%8%10.599%10.6%11.446%11.4%
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 Watertown
More Females More Males
Jefferson County
Watertown
200%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-388.298432%-76.505953%-388.298432%388%0.912%0.91%0.187%0.19%187.221893%34.538439%187.221893%187%0.760%0.76%2.184%2.18%-89.930815%-95.232161%-89.930815%90%8.762%8.76%4.613%4.61%0.501325%1.350190%0.501325%1%10.540%10.5%10.593%10.6%-122.204207%-52.307748%-122.204207%122%16.635%16.6%7.487%7.49%10.374505%13.032609%10.374505%10%23.386%23.4%25.812%25.8%32.649302%13.888774%32.649302%33%28.404%28.4%37.678%37.7%34.617068%40.504128%34.617068%35%6.481%6.48%8.725%8.72%-64.458100%-64.458100%64%9.581415%2.843%2.84%1.729%1.73%-28.445319%-13.777097%-28.445319%28%1.275%1.28%0.993%0.99%
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%B.X.Total65+45-6435-4425-348.051948%8.628735%8.051948%8.1%2793,4658.116414%9.766809%8.116414%8.1%4495,5329.781122%14.562897%9.781122%9.8%2862,92415.301600%14.575206%15.301600%15.3%7945,189
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+45-6435-4425-34-6.684486%-6.684486%6.7%8.052%8.05%8.629%8.63%-16.898002%-16.898002%16.9%8.116%8.12%9.767%9.77%-32.835328%-32.835328%32.8%9.781%9.78%14.563%14.6%4.983759%4.983759%5.0%15.302%15.3%14.575%14.6%
% 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
20%0%20%FM65+45-6435-4425-3439.468329%36.006882%39.468329%39.5%6.909%6.91%9.635%9.64%4.953721%12.378137%4.953721%5.0%7.934%7.93%8.327%8.33%-13.360115%11.746794%11.746794%11.7%9.170%9.17%10.247%10.2%-33.847913%-22.996272%-33.847913%33.8%17.800%17.8%13.299%13.3%
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$52,170.000000$57,188.000000$52,170.000000$52.2k1,4908.708%8.71%$42,380.000000$45,776.000000$42,380.000000$42.4k1,80810.567%10.6%$30,015.000000$32,884.000000$30,015.000000$30.0k6,27236.657%36.7%$21,392.000000$26,203.000000$21,392.000000$21.4k5,65433.045%33.0%$14,097.000000$19,909.000000$14,097.000000$14.1k1,88611.023%11.0%$29,844.000000$33,343.000000$29,844.000000$29.8k17,11017.1k100.000%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$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-46,886.000000$-51,250.000000$-46,886.000000$46.9k$46,886.000000$25,739.000000$51,250.000000$20,302.000000$72,625.000000$72.6k892598$-35,536.000000$-34,270.000000$-35,536.000000$35.5k$35,536.000000$19,571.000000$34,270.000000$23,922.000000$55,107.000000$55.1k901907$-25,434.000000$-25,351.000000$-25,434.000000$25.4k$25,434.000000$10,378.000000$25,351.000000$16,300.000000$35,812.000000$35.8k3,4212,851$-18,966.000000$-20,000.000000$-18,966.000000$19.0k$18,966.000000$8,728.000000$20,000.000000$11,991.000000$27,694.000000$27.7k2,4283,226$-11,220.000000$-11,694.000000$-11,220.000000$11.2k$11,220.000000$9,405.000000$11,694.000000$10,616.000000$20,625.000000$20.6k906980$-25,267.000000$-25,871.000000$-25,267.000000$25.3k$25,267.000000$10,010.000000$25,871.000000$14,789.000000$35,277.000000$35.3k8,5488,562
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Jefferson County and Watertown
Watertown
Jefferson County
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma324.071991%28.199363%24.071991%24.1%21449.156355%50.777590%49.156355%49.2%43726.771654%20.741990%26.771654%26.8%2380.000000%0.000000%0.0%0.281057%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

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. Diploma385.873192%82.374185%85.873192%85.9%2,31678.612080%75.559883%78.612080%78.6%4,28260.803059%64.860067%60.803059%60.8%2,54424.677297%38.742268%24.677297%24.7%325
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#14

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.
15%10%5%0%5%10%15%20%MFWhite1BlackAsianHispanic2Other1-10.934981%-8.672611%-10.934981%10.9%10.934981%0.671386%8.672611%1.593381%11.606368%11.6%802814-5.343511%-5.695688%-5.343511%5.3%5.343511%11.564003%5.695688%14.446493%16.907514%16.9%11721-14.285714%-5.636743%-9.816451%-14.285714%14.3%14.285714%0.607903%5.636743%14.893617%14.9%2121-3.236797%-5.394155%-5.637584%-8.630952%8.6%3.236797%5.637584%7.750631%3.236797%3.2%1929-7.430341%-6.011373%-7.430341%7.4%7.430341%0.938758%6.011373%7.848941%8.369099%8.4%3924
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

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.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-20.260492%-1.098992%-19.699177%-3.042266%-21.359484%21.4%20.260492%19.699177%20.260492%20.3%1,4001,590-5.491329%-22.244039%-7.464455%-19.793478%-27.735369%27.7%5.491329%7.464455%5.491329%5.5%38109-12.765957%-2.200029%-43.387816%-14.965986%15.0%12.765957%43.387816%6.299032%12.765957%12.8%1822-2.044293%-10.455707%-11.135182%-6.784281%-12.500000%12.5%2.044293%11.135182%2.044293%2.0%1242-7.939914%-5.991974%-6.984299%-13.324393%-13.931889%13.9%7.939914%6.984299%7.939914%7.9%3745
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#16

Percentage of the population 25 years and older with given highest level of educational attainment
19%25%30%36%41%47%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
45.6%50.4%55.2%59.9%64.7%69.4%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
6.0%8.7%11.2%13.8%16.4%19.1%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.36%0.72%1.08%1.44%1.80%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.3%3.1%4.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.4%4.7%7.0%9.2%11.5%13.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.4%8.5%10.5%12.5%14.6%16.6%

Detailed: Associate's Degree Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
8.0%9.4%10.6%11.9%13.2%14.5%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.6%22.3%25.9%29.5%33.2%36.8%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
24.9%28.7%32.5%36.3%40.1%44.0%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%5.2%7.0%8.8%10.6%12.4%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.8%2.7%3.6%4.5%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.5%2.3%3.0%3.9%
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Educational Attainment by County Subdivision in the Watertown Area

There are 24 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#29

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%15%Count#Town of LorraineLorraineTown of Cape VincentCape VincentTown of AntwerpAntwerpNew YorkTown of WorthUnited States of AmericaUnited StatesMiddle AtlanticTown of WatertownWatertownTown of PhiladelphiaPhiladelphiaNortheastWatertownWatertownTown of WilnaZIP Code 13601ZIP 13601Town of LymeTown of RodmanRodmanTown of EllisburgEllisburgTown of AdamsTown of AlexandriaAlexandriaTown of ChampionChampionWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonTown of TheresaTheresaTown of OrleansOrleansTown of PameliaPameliaTown of BrownvilleBrownvilleTown of HendersonHendersonTown of RutlandRutlandTown of HounsfieldHounsfieldTown of Le RayLe RayTown of ClaytonClayton18.296530%18.296530%18.3%116117.784509%17.784509%17.8%411215.249781%15.249781%15.2%174314.076424%14.076424%14.1%1,900,8921.90M13.725490%13.725490%13.7%21413.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.743231%11.743231%11.7%386511.684783%11.684783%11.7%129611.614335%11.614335%11.6%4,487,0854.49M11.022794%11.022794%11.0%1,88611.022794%11.022794%11.0%1,886710.883068%10.883068%10.9%403810.747720%10.747720%10.7%2,67510.712184%10.712184%10.7%182910.630841%10.630841%10.6%911010.377750%10.377750%10.4%2501110.257168%10.257168%10.3%3471210.203378%10.203378%10.2%2961310.074860%10.074860%10.1%323149.812463%9.812463%9.8%7,2319.812463%9.812463%9.8%7,2319.728395%9.728395%9.7%197159.278897%9.278897%9.3%175169.057301%9.057301%9.1%196178.992563%8.992563%9.0%399188.137584%8.137584%8.1%97197.540660%7.540660%7.5%153206.986712%6.986712%7.0%163216.380441%6.380441%6.4%642225.290428%5.290428%5.3%19423
Count number of people in category
# rank of county subdivision out of 23 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#30

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%Count#NortheastNew YorkTown of HounsfieldHounsfieldMiddle AtlanticUnited States of AmericaUnited StatesTown of ClaytonClaytonTown of HendersonHendersonTown of Le RayLe RayTown of WatertownWatertownTown of AdamsTown of AlexandriaAlexandriaTown of OrleansOrleansTown of LymeTown of RutlandRutlandTown of ChampionChampionTown of BrownvilleBrownvilleWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonZIP Code 13601ZIP 13601Town of PhiladelphiaPhiladelphiaWatertownWatertownTown of PameliaPameliaTown of EllisburgEllisburgTown of TheresaTheresaTown of WorthTown of Cape VincentCape VincentTown of RodmanRodmanTown of LorraineLorraineTown of WilnaTown of AntwerpAntwerp34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.119160%34.119160%34.1%796133.644618%33.644618%33.6%9,577,4379.58M30.315023%30.315023%30.3%64,767,78764.8M26.370330%26.370330%26.4%967225.922819%25.922819%25.9%309324.488173%24.488173%24.5%2,464424.034074%24.034074%24.0%790522.583506%22.583506%22.6%764622.302654%22.302654%22.3%647721.951220%21.951220%22.0%414821.600942%21.600942%21.6%367921.537703%21.537703%21.5%4371021.241422%21.241422%21.2%6811120.824882%20.824882%20.8%9241220.753949%20.753949%20.8%15,29415.3k20.753949%20.753949%20.8%15,29415.3k20.346338%20.346338%20.3%5,06419.927536%19.927536%19.9%2201319.275278%19.275278%19.3%3,29819.275278%19.275278%19.3%3,2981418.160813%18.160813%18.2%3931517.393109%17.393109%17.4%4191615.851852%15.851852%15.9%3211715.686275%15.686275%15.7%241815.404587%15.404587%15.4%3561915.186916%15.186916%15.2%1302014.195584%14.195584%14.2%902110.072914%10.072914%10.1%373229.640666%9.640666%9.6%11023
Count number of people in category
# rank of county subdivision out of 23 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#31

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%1%2%3%4%Count#Town of HounsfieldHounsfieldTown of WatertownWatertownNew YorkNortheastMiddle AtlanticTown of ClaytonClaytonUnited States of AmericaUnited StatesTown of WorthTown of RodmanRodmanZIP Code 13601ZIP 13601Town of HendersonHendersonTown of Le RayLe RayTown of Cape VincentCape VincentWatertownWatertownTown of OrleansOrleansWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonTown of AdamsTown of ChampionChampionTown of RutlandRutlandTown of EllisburgEllisburgTown of LymeTown of AlexandriaAlexandriaTown of TheresaTheresaTown of WilnaTown of BrownvilleBrownvilleTown of PhiladelphiaPhiladelphiaTown of AntwerpAntwerpTown of PameliaPameliaTown of LorraineLorraine4.843549%4.843549%4.8%11314.411317%4.411317%4.4%14524.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.845105%3.845105%3.8%14133.336158%3.336158%3.3%7,127,6737.13M2.614379%2.614379%2.6%442.453271%2.453271%2.5%2152.402668%2.402668%2.4%5982.265101%2.265101%2.3%2762.156629%2.156629%2.2%21772.033752%2.033752%2.0%4782.022209%2.022209%2.0%3462.022209%2.022209%2.0%34692.014846%2.014846%2.0%38101.864517%1.864517%1.9%1,3741.864517%1.864517%1.9%1,3741.803133%1.803133%1.8%61111.434810%1.434810%1.4%46121.182849%1.182849%1.2%24131.120797%1.120797%1.1%27141.000589%1.000589%1.0%17150.896243%0.896243%0.9%26160.790123%0.790123%0.8%16170.594113%0.594113%0.6%22180.585982%0.585982%0.6%26190.543478%0.543478%0.5%6200.350570%0.350570%0.4%4210.000000%0.000000%0.0%0220.000000%0.000000%0.0%023
Count number of people in category
# rank of county subdivision out of 23 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#32

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
1x0x1x2x3x4xFM#Cape VincentTown of WorthAntwerpEllisburgHendersonLorraineOrleansClaytonLe RayWatertownTown of LymeTown of AdamsTown of WilnaWatertownJeffersonRodmanUnited StatesZIP 13601PhiladelphiaWatertownWatertownNortheastMiddle AtlanticNew YorkTheresaBrownvilleRutlandHounsfieldAlexandriaChampionPamelia-1.000000x-1.000000x4.762017x4.762017x4.76x5.102%5.10%24.296%24.3%1-1.000000x-1.000000x4.420000x4.420000x4.42x5.128%5.13%22.667%22.7%2-1.000000x-1.000000x2.788447x2.788447x2.79x7.942%7.94%22.147%22.1%3-1.000000x-1.000000x2.687651x2.687651x2.69x5.556%5.56%14.931%14.9%4-1.000000x-1.000000x1.970816x1.970816x1.97x5.451%5.45%10.744%10.7%5-1.000000x-1.000000x1.739812x1.739812x1.74x13.333%13.3%23.197%23.2%6-1.000000x-1.000000x1.706967x1.706967x1.71x6.907%6.91%11.790%11.8%7-1.000000x-1.000000x1.693589x1.693589x1.69x4.006%4.01%6.785%6.78%8-1.000000x-1.000000x1.389568x1.389568x1.39x5.263%5.26%7.314%7.31%9-1.000000x-1.000000x1.356457x1.356457x1.36x9.777%9.78%13.261%13.3%10-1.000000x-1.000000x1.349912x1.349912x1.35x9.202%9.20%12.422%12.4%11-1.000000x-1.000000x1.343757x1.343757x1.34x8.745%8.74%11.751%11.8%12-1.000000x-1.000000x1.334091x1.334091x1.33x9.510%9.51%12.687%12.7%13-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-1.000000x-1.000000x1.262321x1.262321x1.26x9.320%9.32%11.765%11.8%14-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.108429x1.108429x1.11x10.185%10.2%11.289%11.3%-1.000000x-1.000000x1.107955x1.107955x1.11x11.111%11.1%12.311%12.3%15-1.000000x-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%-1.000000x-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%16-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.009765x1.009765x1.01x9.681%9.68%9.775%9.78%17-1.000000x-1.000000x1.004463x1.004463x1.00x8.973%8.97%9.013%9.01%18-1.064382x-1.064382x1.06x1.000000x1.000000x7.788%7.79%7.317%7.32%19-1.099663x-1.099663x1.10x1.000000x1.000000x7.290%7.29%6.629%6.63%20-1.099785x-1.099785x1.10x1.000000x1.000000x10.685%10.7%9.715%9.72%21-1.181785x-1.181785x1.18x1.000000x1.000000x10.971%11.0%9.283%9.28%22-1.398356x-1.398356x1.40x1.000000x1.000000x10.622%10.6%7.596%7.60%23
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 23 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#33

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
5x0x5x10xFM#AntwerpTown of WorthBrownvilleRutlandEllisburgTheresaAlexandriaTown of LymeUnited StatesMiddle AtlanticNortheastWatertownWatertownNew YorkHendersonLe RayTown of WilnaPhiladelphiaHounsfieldWatertownJeffersonZIP 13601ClaytonCape VincentOrleansChampionWatertownRodmanTown of Adams-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.681%0.68%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.333%5.33%2-1.000000x-1.000000x7.739583x7.739583x7.74x0.135%0.13%1.042%1.04%3-1.000000x-1.000000x6.323640x6.323640x6.32x0.312%0.31%1.970%1.97%4-1.000000x-1.000000x4.154964x4.154964x4.15x0.427%0.43%1.776%1.78%5-1.000000x-1.000000x2.938416x2.938416x2.94x0.399%0.40%1.173%1.17%6-1.000000x-1.000000x2.279667x2.279667x2.28x0.548%0.55%1.249%1.25%7-1.000000x-1.000000x2.074864x2.074864x2.07x0.665%0.67%1.380%1.38%8-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%-1.000000x-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%9-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.411270x1.411270x1.41x1.874%1.87%2.645%2.64%10-1.000000x-1.000000x1.296903x1.296903x1.30x1.856%1.86%2.407%2.41%11-1.000000x-1.000000x1.095313x1.095313x1.10x0.571%0.57%0.625%0.63%12-1.000000x-1.000000x1.090909x1.090909x1.09x0.521%0.52%0.568%0.57%13-1.000000x-1.000000x1.040865x1.040865x1.04x4.754%4.75%4.949%4.95%14-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.020319x1.020319x1.02x2.378%2.38%2.426%2.43%-1.230022x-1.230022x1.23x1.000000x1.000000x4.209%4.21%3.422%3.42%15-1.321656x-1.321656x1.32x1.000000x1.000000x2.423%2.42%1.834%1.83%16-1.447973x-1.447973x1.45x1.000000x1.000000x2.371%2.37%1.638%1.64%17-2.338741x-2.338741x2.34x1.000000x1.000000x2.061%2.06%0.881%0.88%18-2.701028x-2.701028x2.70x1.000000x1.000000x6.844%6.84%2.534%2.53%19-2.890428x-2.890428x2.89x1.000000x1.000000x3.778%3.78%1.307%1.31%20-5.163712x-5.163712x5.16x1.000000x1.000000x3.034%3.03%0.588%0.59%21
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 21 by male-to-female sex ratio

Educational Attainment by County Subdivision in New York

There are 1,023 county subdivisions in New York. This section compares Watertown to the 50 most populous county subdivisions in New York and to those entities that contain or substantially overlap with Watertown. The least populous of the compared county subdivisions has a population of 42,343.

No H.S. Diploma by County Subdivision#34

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 New York, and entities that contain Watertown
0%5%10%15%20%25%Count#BronxTown of RyeUticaBrooklynQueensRochesterSyracuseTown of MonroeMonroeTown of RamapoRamapoNew RochelleYonkersBuffaloSchenectadyMount VernonBinghamtonTown of IslipNew YorkWhite PlainsNiagara FallsTroyUnited States of AmericaUnited StatesManhattanTown of BabylonBabylonMiddle AtlanticTown of Mount PleasantMt PleasantNortheastStaten IslandWatertownWatertownZIP Code 13601ZIP 13601Town of HempsteadHempsteadTown of SouthamptonSouthamptonAlbanyWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonTown of CheektowagaCheektowagaTown of North HempsteadN HempsteadTown of HenriettaHenriettaTown of ClarkstownClarkstownTown of BrookhavenBrookhavenTown of OrangetownOrangetownTown of IrondequoitIrondequoitTown of UnionTown of PoughkeepsiePoughkeepsieTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghTown of West SenecaW SenecaTown of CortlandtCortlandtTown of ColonieColonieTown of TonawandaTonawandaTown of Oyster BayOyster BayTown of HamburgHamburgTown of ClayTown of WebsterWebsterTown of LancasterLancasterTown of AmherstAmherstTown of SmithtownSmithtownTown of PerintonPerinton28.837398%28.837398%28.8%261,022261k122.486598%22.486598%22.5%7,173220.612611%20.612611%20.6%7,934320.017506%20.017506%20.0%351,046351k419.344706%19.344706%19.3%315,505316k519.239011%19.239011%19.2%25,40825.4k619.000219%19.000219%19.0%16,47316.5k718.106509%18.106509%18.1%3,366817.423749%17.423749%17.4%12,58512.6k917.017312%17.017312%17.0%9,1321016.804756%16.804756%16.8%22,98023.0k1116.749688%16.749688%16.7%27,74127.7k1216.053840%16.053840%16.1%7,0251315.848348%15.848348%15.8%7,4241415.548463%15.548463%15.5%4,6281514.649584%14.649584%14.6%32,58832.6k1614.076424%14.076424%14.1%1,900,8921.90M13.893357%13.893357%13.9%5,7011713.797859%13.797859%13.8%4,6021813.551463%13.551463%13.6%4,1501913.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2012.329428%12.329428%12.3%18,13418.1k2112.313400%12.313400%12.3%3,505,1913.51M11.896919%11.896919%11.9%3,4672211.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k2311.022794%11.022794%11.0%1,88611.022794%11.022794%11.0%1,88610.747720%10.747720%10.7%2,67510.384134%10.384134%10.4%54,23054.2k2410.338812%10.338812%10.3%4,5042510.256196%10.256196%10.3%6,145269.812463%9.812463%9.8%7,2319.812463%9.812463%9.8%7,2319.212082%9.212082%9.2%5,923278.911497%8.911497%8.9%14,26914.3k288.854285%8.854285%8.9%2,337298.755407%8.755407%8.8%5,364308.603165%8.603165%8.6%28,07628.1k318.426036%8.426036%8.4%2,901328.287073%8.287073%8.3%3,120338.238475%8.238475%8.2%3,199348.176375%8.176375%8.2%2,253357.434661%7.434661%7.4%5,274367.370929%7.370929%7.4%10,45510.5k377.208489%7.208489%7.2%4,660386.815916%6.815916%6.8%2,256396.651967%6.651967%6.7%1,961406.651772%6.651772%6.7%3,781416.156495%6.156495%6.2%3,325425.758981%5.758981%5.8%11,95012.0k435.742876%5.742876%5.7%2,376445.420601%5.420601%5.4%2,256454.737815%4.737815%4.7%1,461464.651318%4.651318%4.7%1,392474.592814%4.592814%4.6%3,835484.565854%4.565854%4.6%3,744492.807340%2.807340%2.8%94750
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#35

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 New York, and entities that contain Watertown
0%20%40%60%Count#Town of GreenburghGreenburghManhattanTown of PerintonPerintonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of OrangetownOrangetownTown of HuntingtonHuntingtonTown of Mount PleasantMt PleasantWhite PlainsTown of ClarkstownClarkstownTown of CortlandtCortlandtTown of Oyster BayOyster BayTown of SmithtownSmithtownTown of WebsterWebsterNew RochelleTown of ColonieColonieTown of HempsteadHempsteadTown of SouthamptonSouthamptonTown of PoughkeepsiePoughkeepsieAlbanyTown of HenriettaHenriettaTown of IrondequoitIrondequoitTown of RyeNortheastNew YorkTown of TonawandaTonawandaBrooklynTown of ClayMiddle AtlanticTown of RamapoRamapoTown of LancasterLancasterTown of BrookhavenBrookhavenYonkersTown of HamburgHamburgStaten IslandQueensUnited States of AmericaUnited StatesTown of UnionMount VernonTown of MonroeMonroeTown of GreeceGreeceTown of IslipTown of West SenecaW SenecaSyracuseTown of BabylonBabylonTroyBuffaloRochesterBinghamtonTown of CheektowagaCheektowagaSchenectadyWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonZIP Code 13601ZIP 13601WatertownWatertownBronxUticaNiagara Falls61.467067%61.467067%61.5%39,73639.7k160.434640%60.434640%60.4%747,953748k256.650757%56.650757%56.7%19,11019.1k354.117365%54.117365%54.1%45,18845.2k453.266008%53.266008%53.3%85,28985.3k551.195213%51.195213%51.2%17,62617.6k650.346515%50.346515%50.3%71,41271.4k750.240203%50.240203%50.2%14,64114.6k849.283521%49.283521%49.3%20,22320.2k949.062270%49.062270%49.1%30,05830.1k1048.799186%48.799186%48.8%14,38614.4k1148.123874%48.123874%48.1%99,85899.9k1246.287805%46.287805%46.3%37,95638.0k1343.720206%43.720206%43.7%13,48213.5k1443.527198%43.527198%43.5%23,35823.4k1539.877203%39.877203%39.9%22,66722.7k1638.767308%38.767308%38.8%202,458202k1738.632816%38.632816%38.6%16,83016.8k1838.236255%38.236255%38.2%10,53610.5k1937.277810%37.277810%37.3%22,33522.3k2036.921270%36.921270%36.9%9,7452135.371457%35.371457%35.4%13,31713.3k2235.276968%35.276968%35.3%11,25311.3k2334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.333802%34.333802%34.3%18,54318.5k2434.081468%34.081468%34.1%597,685598k2533.809078%33.809078%33.8%14,07114.1k2633.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2732.191666%32.191666%32.2%9,6342832.119689%32.119689%32.1%104,821105k2932.032147%32.032147%32.0%43,80343.8k3031.697000%31.697000%31.7%13,11413.1k3131.359684%31.359684%31.4%101,712102k3230.595789%30.595789%30.6%499,006499k3330.315023%30.315023%30.3%64,767,78764.8M30.293587%30.293587%30.3%11,76311.8k3429.064555%29.064555%29.1%13,61513.6k3528.875740%28.875740%28.9%5,3683628.513632%28.513632%28.5%20,22720.2k3727.874579%27.874579%27.9%62,00762.0k3827.744041%27.744041%27.7%9,1833926.804231%26.804231%26.8%23,23923.2k4025.418993%25.418993%25.4%37,38637.4k4125.333072%25.333072%25.3%7,7584225.263101%25.263101%25.3%41,84141.8k4323.661076%23.661076%23.7%31,24831.2k4423.460440%23.460440%23.5%6,9834521.402576%21.402576%21.4%13,76113.8k4621.072237%21.072237%21.1%9,2214720.753949%20.753949%20.8%15,29415.3k20.753949%20.753949%20.8%15,29415.3k20.346338%20.346338%20.3%5,06419.275278%19.275278%19.3%3,29819.275278%19.275278%19.3%3,29819.131504%19.131504%19.1%173,169173k4817.120885%17.120885%17.1%6,5904917.041945%17.041945%17.0%5,68450
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#36

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 New York, and entities that contain Watertown
0%2%4%6%8%10%Count#Town of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of Mount PleasantMt PleasantWhite PlainsNew RochelleTown of HuntingtonHuntingtonTown of PerintonPerintonTown of CortlandtCortlandtTown of Oyster BayOyster BayTown of OrangetownOrangetownTown of SmithtownSmithtownTown of ClarkstownClarkstownAlbanyTown of PoughkeepsiePoughkeepsieTown of ColonieColonieTown of SouthamptonSouthamptonTown of HempsteadHempsteadSyracuseNew YorkNortheastTown of RamapoRamapoTown of WebsterWebsterTown of BrookhavenBrookhavenMiddle AtlanticTown of RyeYonkersBrooklynUnited States of AmericaUnited StatesTown of HenriettaHenriettaBuffaloStaten IslandBinghamtonTown of HamburgHamburgQueensRochesterTown of UnionTown of IrondequoitIrondequoitTown of TonawandaTonawandaZIP Code 13601ZIP 13601Town of IslipMount VernonTown of GreeceGreeceTown of LancasterLancasterTroyWatertownWatertownTown of MonroeMonroeWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonSchenectadyTown of ClayBronxTown of BabylonBabylonUticaTown of West SenecaW SenecaTown of CheektowagaCheektowagaNiagara Falls11.932680%11.932680%11.9%7,714110.788423%10.788423%10.8%133,520134k210.319825%10.319825%10.3%16,52416.5k39.511377%9.511377%9.5%7,94248.863496%8.863496%8.9%2,58358.692791%8.692791%8.7%3,56768.001789%8.001789%8.0%4,29477.591599%7.591599%7.6%10,76810.8k86.578128%6.578128%6.6%2,21996.326323%6.326323%6.3%1,865106.073676%6.073676%6.1%12,60312.6k115.974614%5.974614%6.0%2,057125.571951%5.571951%5.6%4,569135.549661%5.549661%5.5%3,400145.285822%5.285822%5.3%3,167154.946471%4.946471%4.9%1,363164.505471%4.505471%4.5%2,561174.464696%4.464696%4.5%1,945184.441262%4.441262%4.4%23,19423.2k194.250337%4.250337%4.3%3,685204.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935214.053572%4.053572%4.1%1,250223.952259%3.952259%4.0%12,89812.9k233.884861%3.884861%3.9%1,105,8831.11M3.855920%3.855920%3.9%1,230243.426766%3.426766%3.4%4,686253.384967%3.384967%3.4%59,36259.4k263.336158%3.336158%3.3%7,127,6737.13M3.243161%3.243161%3.2%856273.202492%3.202492%3.2%5,304283.037245%3.037245%3.0%9,851292.852343%2.852343%2.9%849302.794093%2.794093%2.8%1,156312.756960%2.756960%2.8%44,96545.0k322.719873%2.719873%2.7%3,592332.616534%2.616534%2.6%1,016342.592366%2.592366%2.6%976352.592209%2.592209%2.6%1,400362.402668%2.402668%2.4%5982.384356%2.384356%2.4%5,304372.267099%2.267099%2.3%1,062382.249852%2.249852%2.2%1,596392.235440%2.235440%2.2%669402.220481%2.220481%2.2%680412.022209%2.022209%2.0%3462.022209%2.022209%2.0%3461.909629%1.909629%1.9%355421.864517%1.864517%1.9%1,3741.864517%1.864517%1.9%1,3741.771064%1.771064%1.8%775431.737187%1.737187%1.7%723441.664253%1.664253%1.7%15,06415.1k451.603220%1.603220%1.6%2,358461.551012%1.551012%1.6%597471.157135%1.157135%1.2%383481.107378%1.107378%1.1%712491.058376%1.058376%1.1%35350
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#37

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 New York, and entities that contain Watertown
Female
Male
1x0x1xFM#SouthamptonMt PleasantWatertownJeffersonSchenectadyTown of RyeGreenburghNew RochelleHamburgGreeceNiagara FallsRamapoBrookhavenOrangetownWhite PlainsUnited StatesZIP 13601Town of IslipRochesterHempsteadHuntingtonYonkersWatertownWatertownSyracuseTown of ClayCortlandtNortheastMount VernonMiddle AtlanticBabylonN HempsteadTonawandaNew YorkBinghamtonBronxIrondequoitBrooklynUticaClarkstownTroyStaten IslandWebsterPoughkeepsieAlbanyQueensManhattanBuffaloOyster BayCheektowagaHenriettaLancasterMonroeColonieW SenecaSmithtownAmherstTown of UnionPerinton-1.000000x-1.000000x1.604365x1.604365x1.60x7.925%7.93%12.715%12.7%1-1.000000x-1.000000x1.433960x1.433960x1.43x9.779%9.78%14.023%14.0%2-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-1.000000x-1.000000x1.282414x1.282414x1.28x14.131%14.1%18.122%18.1%3-1.000000x-1.000000x1.281137x1.281137x1.28x19.775%19.8%25.334%25.3%4-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%5-1.000000x-1.000000x1.254711x1.254711x1.25x15.159%15.2%19.020%19.0%6-1.000000x-1.000000x1.187720x1.187720x1.19x5.282%5.28%6.274%6.27%7-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%8-1.000000x-1.000000x1.137611x1.137611x1.14x12.973%13.0%14.759%14.8%9-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%10-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%11-1.000000x-1.000000x1.125221x1.125221x1.13x7.951%7.95%8.947%8.95%12-1.000000x-1.000000x1.115929x1.115929x1.12x13.178%13.2%14.706%14.7%13-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.108429x1.108429x1.11x10.185%10.2%11.289%11.3%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%14-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%15-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%16-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%-1.000000x-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.076402x1.076402x1.08x5.232%5.23%5.632%5.63%20-1.000000x-1.000000x1.074661x1.074661x1.07x6.422%6.42%6.901%6.90%21-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.062811x1.062811x1.06x15.419%15.4%16.388%16.4%22-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%23-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%24-1.000000x-1.000000x1.049026x1.049026x1.05x6.020%6.02%6.315%6.31%25-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.042378x1.042378x1.04x15.245%15.2%15.891%15.9%26-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%27-1.000000x-1.000000x1.019781x1.019781x1.02x8.213%8.21%8.376%8.38%28-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%29-1.000000x-1.000000x1.012601x1.012601x1.01x20.491%20.5%20.749%20.7%30-1.000000x-1.000000x1.005766x1.005766x1.01x8.732%8.73%8.782%8.78%31-1.000000x-1.000000x1.004481x1.004481x1.00x13.523%13.5%13.584%13.6%32-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%33-1.005091x-1.005091x1.01x1.000000x1.000000x4.749%4.75%4.725%4.72%34-1.015377x-1.015377x1.02x1.000000x1.000000x8.237%8.24%8.112%8.11%35-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%36-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%37-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%38-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%39-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%40-1.067416x-1.067416x1.07x1.000000x1.000000x9.496%9.50%8.896%8.90%41-1.080215x-1.080215x1.08x1.000000x1.000000x9.187%9.19%8.505%8.50%42-1.147591x-1.147591x1.15x1.000000x1.000000x4.950%4.95%4.313%4.31%43-1.155863x-1.155863x1.16x1.000000x1.000000x19.373%19.4%16.761%16.8%44-1.160343x-1.160343x1.16x1.000000x1.000000x7.123%7.12%6.139%6.14%45-1.163000x-1.163000x1.16x1.000000x1.000000x7.289%7.29%6.267%6.27%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.266677x-1.266677x1.27x1.000000x1.000000x9.152%9.15%7.225%7.23%49-1.487023x-1.487023x1.49x1.000000x1.000000x3.320%3.32%2.233%2.23%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#38

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 New York, and entities that contain Watertown
Female
Male
1x0x1x2xFM#Niagara FallsUticaTown of UnionW SenecaPerintonSmithtownHuntingtonPoughkeepsieBrookhavenAmherstCortlandtOyster BayClarkstownTroyHamburgTonawandaGreenburghColonieLancasterMt PleasantBinghamtonBuffaloN HempsteadSyracuseUnited StatesMiddle AtlanticWebsterHempsteadNortheastCheektowagaRamapoOrangetownAlbanyNew RochelleWhite PlainsGreeceSchenectadyWatertownWatertownNew YorkRochesterTown of ClayIrondequoitMount VernonTown of RyeQueensHenriettaBrooklynManhattanStaten IslandMonroeBronxSouthamptonTown of IslipBabylonYonkersWatertownJeffersonZIP 13601-1.000000x-1.000000x2.541302x2.541302x2.54x0.618%0.62%1.571%1.57%1-1.000000x-1.000000x2.466374x2.466374x2.47x0.916%0.92%2.260%2.26%2-1.000000x-1.000000x2.358774x2.358774x2.36x1.591%1.59%3.754%3.75%3-1.000000x-1.000000x2.156993x2.156993x2.16x0.754%0.75%1.626%1.63%4-1.000000x-1.000000x1.799304x1.799304x1.80x4.778%4.78%8.597%8.60%5-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%6-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%7-1.000000x-1.000000x1.780300x1.780300x1.78x3.591%3.59%6.394%6.39%8-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%9-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%10-1.000000x-1.000000x1.768355x1.768355x1.77x4.623%4.62%8.174%8.17%11-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%12-1.000000x-1.000000x1.732881x1.732881x1.73x4.129%4.13%7.155%7.16%13-1.000000x-1.000000x1.714232x1.714232x1.71x1.663%1.66%2.850%2.85%14-1.000000x-1.000000x1.712291x1.712291x1.71x2.099%2.10%3.595%3.59%15-1.000000x-1.000000x1.704160x1.704160x1.70x1.955%1.95%3.331%3.33%16-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%17-1.000000x-1.000000x1.651215x1.651215x1.65x3.435%3.43%5.672%5.67%18-1.000000x-1.000000x1.594279x1.594279x1.59x1.748%1.75%2.787%2.79%19-1.000000x-1.000000x1.579415x1.579415x1.58x6.876%6.88%10.860%10.9%20-1.000000x-1.000000x1.566561x1.566561x1.57x2.252%2.25%3.528%3.53%21-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%22-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%23-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488955x1.488955x1.49x3.305%3.30%4.921%4.92%25-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%26-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.478733x1.478733x1.48x0.903%0.90%1.335%1.34%27-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%28-1.000000x-1.000000x1.465055x1.465055x1.47x4.889%4.89%7.163%7.16%29-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%30-1.000000x-1.000000x1.462506x1.462506x1.46x6.545%6.55%9.572%9.57%31-1.000000x-1.000000x1.461604x1.461604x1.46x7.148%7.15%10.448%10.4%32-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%33-1.000000x-1.000000x1.435683x1.435683x1.44x1.464%1.46%2.102%2.10%34-1.000000x-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%-1.000000x-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%35-1.000000x-1.000000x1.406626x1.406626x1.41x1.458%1.46%2.051%2.05%36-1.000000x-1.000000x1.369034x1.369034x1.37x2.220%2.22%3.039%3.04%37-1.000000x-1.000000x1.341074x1.341074x1.34x1.970%1.97%2.641%2.64%38-1.000000x-1.000000x1.289753x1.289753x1.29x3.378%3.38%4.357%4.36%39-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%40-1.000000x-1.000000x1.266518x1.266518x1.27x2.870%2.87%3.635%3.63%41-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%42-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%43-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%44-1.000000x-1.000000x1.223046x1.223046x1.22x1.723%1.72%2.108%2.11%45-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%46-1.000000x-1.000000x1.196659x1.196659x1.20x4.062%4.06%4.861%4.86%47-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%48-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%49-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%50-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.020319x1.020319x1.02x2.378%2.38%2.426%2.43%
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 Northeast

There are 5,785 county subdivisions in the Northeast. This section compares Watertown to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Watertown. The least populous of the compared county subdivisions has a population of 91,133.

No H.S. Diploma by County Subdivision#39

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 Northeast, and entities that contain Watertown
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityNew YorkUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandWatertownWatertownQuincyTown of StamfordStamfordZIP Code 13601ZIP 13601Town of HempsteadHempsteadAlbanyWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2814.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.022794%11.022794%11.0%1,88611.022794%11.022794%11.0%1,88611.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.747720%10.747720%10.7%2,67510.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.812463%9.812463%9.8%7,2319.812463%9.812463%9.8%7,2319.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
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#40

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 Northeast, and entities that contain Watertown
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastNew YorkWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidenceTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonZIP Code 13601ZIP 13601LynnWatertownWatertownBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2728.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3820.753949%20.753949%20.8%15,29415.3k20.753949%20.753949%20.8%15,29415.3k20.346338%20.346338%20.3%5,06419.566137%19.566137%19.6%11,56311.6k3919.275278%19.275278%19.3%3,29819.275278%19.275278%19.3%3,29819.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
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#41

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 Northeast, and entities that contain Watertown
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNew YorkNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesBuffaloStaten IslandQueensToms River TownshipToms RivRochesterZIP Code 13601ZIP 13601Town of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodWatertownWatertownLowellWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.402668%2.402668%2.4%5982.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901352.022209%2.022209%2.0%3462.022209%2.022209%2.0%3461.961931%1.961931%2.0%1,376361.864517%1.864517%1.9%1,3741.864517%1.864517%1.9%1,3741.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
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#42

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 Northeast, and entities that contain Watertown
Female
Male
1x0x1xFM#WatertownJeffersonStamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesZIP 13601Town of IslipManchesterRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersWatertownWatertownSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownNew YorkLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.108429x1.108429x1.11x10.185%10.2%11.289%11.3%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%-1.000000x-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%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#43

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 Northeast, and entities that contain Watertown
Female
Male
1x0x1x2xFM#LakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyWatertownWatertownNew YorkRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterWatertownJeffersonZIP 13601Brockton-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%-1.000000x-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.020319x1.020319x1.02x2.378%2.38%2.426%2.43%-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%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#44

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 VegasPhoenixBostonNew YorkSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaWatertownWatertownZIP Code 13601ZIP 13601Salt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonAtlantaSeattleNortheast 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%63,64263.6k2714.076424%14.076424%14.1%1,900,8921.90M13.900512%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%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4111.022794%11.022794%11.0%1,88611.022794%11.022794%11.0%1,88610.747720%10.747720%10.7%2,67510.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.812463%9.812463%9.8%7,2319.812463%9.812463%9.8%7,2319.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%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#45

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 HarrisChicagoNortheastNew YorkColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonZIP Code 13601ZIP 13601WatertownWatertownBronxSan 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%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%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%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%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%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4620.753949%20.753949%20.8%15,29415.3k20.753949%20.753949%20.8%15,29415.3k20.346338%20.346338%20.3%5,06419.275278%19.275278%19.3%3,29819.275278%19.275278%19.3%3,29819.131504%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#46

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 HempsteadHempsteadTampaNew YorkNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyZIP Code 13601ZIP 13601OntarioFort WorthLas VegasMilwaukeeWatertownWatertownWatertown and Fort Drum Metro AreaWatertownJefferson CountyJeffersonSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%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%19,24719.2k194.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%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%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.402668%2.402668%2.4%5982.324315%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%7,455442.022209%2.022209%2.0%3462.022209%2.022209%2.0%3461.864517%1.864517%1.9%1,3741.864517%1.864517%1.9%1,3741.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%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#47

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#WatertownJefferson1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesZIP 13601NE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoWatertownWatertownAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNew YorkNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%-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-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-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-1.000000x1.108429x1.108429x1.11x10.185%10.2%11.289%11.3%-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-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%-1.000000x-1.000000x1.079909x1.079909x1.08x10.599%10.6%11.446%11.4%-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-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-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-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-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#48

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
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoWatertownWatertownNew YorkColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitWatertownJeffersonZIP 13601-1.000000x-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-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%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-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-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-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%-1.000000x-1.000000x1.417259x1.417259x1.42x1.673%1.67%2.371%2.37%-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-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%50-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%-1.000000x-1.000000x1.020319x1.020319x1.02x2.378%2.38%2.426%2.43%
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:
New York
County:
Jefferson
Metro Area:
Watertown Area
City:
Watertown
ZIP Code:
13601
Unified School Districts:
General Brown, Watertown
Congressional District:
NY-21
State Senate District:
NY-48
Assembly Districts:
NY-116, NY-117
Neighboring Towns:
Le Ray, Pamelia, Watertown
Nearby Towns:
Adams, Brownville, Champion, Denmark, Harrisburg, Henderson, Philadelphia, Pinckney, Rodman, Rutland