Educational Attainment in Schuyler County, New York (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of New York and Schuyler County
Schuyler County
New York
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.262861%43.362833%30.262861%30.3%4,01859.749944%42.560743%59.749944%59.7%7,9339.987196%14.076424%9.987196%10.0%1,326
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 New York at large.
Scope: population of New York and Schuyler County
-40%-20%-0%+20%+40%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-30.210140%-30.210140%-30.2%30.263%30.3%43.363%43.4%40.387455%40.387455%+40.4%59.750%59.7%42.561%42.6%-29.050192%-29.050192%-29.1%9.987%9.99%14.076%14.1%
% percentage with given level in Schuyler County
ref. percentage with given level in New York
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 New York and Schuyler County
Schuyler County
New York
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.092114%1.473954%1.092114%1.1%1451.393387%2.756433%1.393387%1.4%1857.200422%10.855739%7.200422%7.2%95611.154628%19.654818%11.154628%11.2%1,4819.422309%8.621889%9.422309%9.4%1,25119.838819%16.128337%19.838819%19.8%2,63439.911125%26.432406%39.911125%39.9%5,2997.155231%7.544155%7.155231%7.2%9502.146569%4.633976%2.146569%2.1%2850.685396%1.898293%0.685396%0.7%91
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 New York at large.
Scope: population of New York and Schuyler County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-25.905827%-25.905827%-25.9%1.092%1.09%1.474%1.47%-49.449631%-49.449631%-49.4%1.393%1.39%2.756%2.76%-33.671749%-33.671749%-33.7%7.200%7.20%10.856%10.9%-43.247360%-43.247360%-43.2%11.155%11.2%19.655%19.7%9.283588%9.283588%+9.3%9.422%9.42%8.622%8.62%23.005981%23.005981%+23.0%19.839%19.8%16.128%16.1%50.993160%50.993160%+51.0%39.911%39.9%26.432%26.4%-5.155309%-5.155309%-5.2%7.155%7.16%7.544%7.54%-53.677595%-53.677595%-53.7%2.147%2.15%4.634%4.63%-63.894090%-63.894090%-63.9%0.685%0.69%1.898%1.90%
% percentage with given level in Schuyler County
ref. percentage with given level in New York
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 New York and Schuyler County
More Females More Males
New York
Schuyler County
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-31.730071%-7.071483%-31.730071%32%34.295%34.3%26.034%26.0%10.624223%5.599805%10.624223%11%56.804%56.8%62.840%62.8%25.003495%4.608047%25.003495%25%8.901%8.90%11.127%11.1%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of New York and Schuyler County
More Females More Males
New York
Schuyler County
150%100%50%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None44.441409%44.135478%44.441409%44%0.897%0.90%1.296%1.30%-5.086469%-5.086469%5%40.202453%1.427%1.43%1.358%1.36%-153.864535%-35.501157%-153.864535%154%10.225%10.2%4.028%4.03%-9.588175%-9.588175%10%2.270902%11.652%11.7%10.633%10.6%-15.753306%-20.836943%-15.753306%16%10.093%10.1%8.719%8.72%12.313577%6.906283%12.313577%12%18.714%18.7%21.019%21.0%9.794227%4.810298%9.794227%10%38.090%38.1%41.821%41.8%42.987071%10.700533%42.987071%43%5.914%5.91%8.457%8.46%-31.087244%-0.222558%-31.087244%31%2.428%2.43%1.852%1.85%-6.719664%46.296702%46.296702%46%0.559%0.56%0.818%0.82%
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 New York and Schuyler County
Schuyler County
New York
0%5%10%15%20%25%B.X.Total65+45-6435-4425-349.154930%12.423176%9.154930%9.2%3253,55011.793271%17.896303%11.793271%11.8%6805,76611.364740%21.971563%11.364740%11.4%2342,05912.723449%28.276328%12.723449%12.7%2421,902
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 New York at large.
Scope: population of New York and Schuyler County
50%40%30%20%10%0%%ref.65+45-6435-4425-34-26.307658%-26.307658%26.3%9.155%9.15%12.423%12.4%-34.102196%-34.102196%34.1%11.793%11.8%17.896%17.9%-48.275231%-48.275231%48.3%11.365%11.4%21.972%22.0%-55.003177%-55.003177%55.0%12.723%12.7%28.276%28.3%
% percentage in Schuyler County with a Bachelor's degree
ref percentage in New York 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 New York and Schuyler County
More Females More Males
New York
Schuyler County
50%0%FM65+45-6435-4425-3443.271968%33.023651%43.271968%43.3%7.615%7.62%10.910%10.9%-18.312110%-18.312110%18.3%1.970870%12.759%12.8%10.784%10.8%-6.438767%5.735983%5.735983%5.7%11.046%11.0%11.680%11.7%-97.706209%-12.233214%-97.706209%97.7%16.987%17.0%8.592%8.59%
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 New York and Schuyler County
Schuyler County
New York
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$50,326.000000$72,399.000000$50,326.000000$50.3k1,2869.686%9.69%$29,891.000000$55,375.000000$29,891.000000$29.9k1,48111.155%11.2%$34,409.000000$36,986.000000$34,409.000000$34.4k3,88529.261%29.3%$29,019.000000$30,365.000000$29,019.000000$29.0k5,29939.911%39.9%$25,750.000000$20,519.000000$25,750.000000$25.8k1,3269.987%9.99%$32,037.000000$41,004.000000$32,037.000000$32.0k13,27713.3k100.000%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 New York and Schuyler County
Female Male
New York
Schuyler County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-42,292.000000$-13,300.000000$-63,343.000000$-55,592.000000$55.6k$42,292.000000$63,343.000000$23,803.000000$42,292.000000$42.3k853433$-25,184.000000$-49,056.000000$-25,184.000000$25.2k$25,184.000000$25,307.000000$49,056.000000$15,512.000000$50,491.000000$50.5k792689$-28,027.000000$-31,735.000000$-28,027.000000$28.0k$28,027.000000$13,445.000000$31,735.000000$11,868.000000$41,472.000000$41.5k1,9581,927$-23,036.000000$-24,345.000000$-23,036.000000$23.0k$23,036.000000$12,182.000000$24,345.000000$11,127.000000$35,218.000000$35.2k2,5892,710$-17,875.000000$-16,152.000000$-17,875.000000$17.9k$17,875.000000$9,230.000000$16,152.000000$7,310.000000$27,105.000000$27.1k605721$-26,139.000000$-35,927.000000$-26,139.000000$26.1k$26,139.000000$10,840.000000$35,927.000000$10,547.000000$36,979.000000$37.0k6,7976,480
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 New York and Schuyler County
Schuyler County
New York
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%35.024821%100.000000%100.0%30.000000%0.000000%0.0%49.578441%00.000000%0.000000%0.0%15.176109%00.000000%0.000000%0.0%0.220629%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 New York and Schuyler County
Schuyler County
New York
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.236131%83.757888%78.236131%78.2%1,65071.930380%74.250177%71.930380%71.9%2,27366.947311%66.710729%66.947311%66.9%2,46544.716495%53.477224%44.716495%44.7%347
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 New York and Schuyler County
Female Male
New York
Schuyler County
Shaded bar tips show excess over facing bar.
50%0%50%100%MFWhite1BlackAsianHispanic2Other1-8.443150%-7.010475%-8.443150%8.4%8.443150%1.869749%7.010475%0.656174%10.312899%10.3%646551-36.082474%-35.103966%-16.701438%-71.186441%71.2%36.082474%16.701438%1.459915%36.082474%36.1%3542-0.000000%-20.301815%-2.571975%0.000000%0.0%0.000000%100.000000%20.301815%100.000000%100.0%100-14.000000%-7.556886%-31.379019%-21.556886%21.6%14.000000%31.379019%1.968087%14.000000%14.0%736-16.071429%-31.931206%-16.071429%16.1%16.071429%19.313187%31.931206%2.116169%35.384615%35.4%239
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 New York and Schuyler County
Female Male
New York
Schuyler County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-17.193487%-6.833482%-40.543483%-0.368528%-24.026969%24.0%17.193487%40.543483%17.193487%17.2%1,0771,568-8.247423%-5.311899%-19.678068%-5.271968%-13.559322%13.6%8.247423%19.678068%8.247423%8.2%88-0.000000%-26.923077%-45.028356%-26.923077%26.9%0.000000%45.028356%1.700641%0.000000%0.0%07-25.149701%-15.579824%-4.078609%-25.149701%25.1%25.149701%12.850299%15.579824%38.000000%38.0%1942-27.692308%-8.021978%-15.106332%-4.239492%-35.714286%35.7%27.692308%15.106332%27.692308%27.7%1820
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Schuyler County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
19.8%23.9%28.0%32.1%36.1%40.3%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
54.8%57.4%60.0%62.6%65.2%67.9%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
4.8%7.3%9.8%12.3%14.8%17.3%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.3%1.9%2.6%3.3%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%0.7%1.2%1.8%2.3%2.9%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
2.9%5.2%7.3%9.5%11.7%13.9%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
6.3%7.8%9.4%10.9%12.5%14.1%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%8.2%10.1%12.0%13.9%15.8%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
12.3%14.4%16.5%18.6%20.7%22.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
32.1%36.9%41.5%46.2%50.9%55.6%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%5.7%8.0%10.3%12.6%14.9%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%1.3%1.9%2.5%3.0%3.6%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.08%0.38%0.68%0.98%1.28%1.58%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Schuyler County

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
22.9%26.4%29.8%33.3%36.8%40.3%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
54.8%57.2%59.5%61.9%64.2%66.6%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
4.8%7.1%9.4%11.7%14.0%16.3%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%0.8%1.4%2.0%2.6%3.3%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.54%1.00%1.46%1.92%2.38%2.84%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
3.2%5.4%7.5%9.6%11.8%13.9%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
8.5%9.6%10.7%11.8%12.9%14.1%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%8.2%10.1%12.0%13.9%15.8%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
14.4%16.2%17.8%19.5%21.1%22.8%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
32.1%34.7%37.2%39.6%42.1%44.7%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%5.4%7.4%9.4%11.4%13.5%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.79%1.28%1.77%2.26%2.75%3.24%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.26%0.41%0.56%0.71%0.86%1.01%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Schuyler County

There are 4 places in Schuyler County. This section compares all 4 of those to each other, Schuyler County, and other entities that contain or substantially overlap with Schuyler County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Schuyler County, selected places in Schuyler County, and entities that contain Schuyler County
0%5%10%15%Count#Montour FallsNew YorkUnited States of AmericaUnited StatesMiddle AtlanticNortheastSchuyler CountySchuylerWatkins GlenOdessaBurdett17.151380%17.151380%17.2%230114.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M9.987196%9.987196%10.0%1,3269.084249%9.084249%9.1%12427.936508%7.936508%7.9%3537.094595%7.094595%7.1%214
Count number of people in category
# rank of place out of 4 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Schuyler County, selected places in Schuyler County, and entities that contain Schuyler County
0%10%20%30%Count#NortheastNew YorkMiddle AtlanticBurdettUnited States of AmericaUnited StatesWatkins GlenSchuyler CountySchuylerOdessaMontour Falls34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M30.405405%30.405405%30.4%90130.315023%30.315023%30.3%64,767,78764.8M24.102564%24.102564%24.1%329220.840551%20.840551%20.8%2,76719.727891%19.727891%19.7%87313.571961%13.571961%13.6%1824
Count number of people in category
# rank of place out of 4 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Schuyler County, selected places in Schuyler County, and entities that contain Schuyler County
0%1%2%3%4%Count#New YorkNortheastMiddle AtlanticUnited States of AmericaUnited StatesSchuyler CountySchuylerWatkins GlenMontour FallsOdessaBurdett4.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M2.485501%2.485501%2.5%3301.831502%1.831502%1.8%2510.894855%0.894855%0.9%1220.680272%0.680272%0.7%330.000000%0.000000%0.0%04
Count number of people in category
# rank of place out of 4 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 Place#45

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 Schuyler County, selected places in Schuyler County, and entities that contain Schuyler County
Female
Male
1x0x1xFM#Watkins GlenBurdettSchuylerUnited StatesOdessaNortheastMiddle AtlanticNew YorkMontour Falls-1.000000x-1.000000x1.562096x1.562096x1.56x7.292%7.29%11.390%11.4%1-1.000000x-1.000000x1.404615x1.404615x1.40x6.024%6.02%8.462%8.46%2-1.000000x-1.000000x1.250035x1.250035x1.25x8.901%8.90%11.127%11.1%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.089402x1.089402x1.09x7.583%7.58%8.261%8.26%3-1.000000x-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%-1.287452x-1.287452x1.29x1.000000x1.000000x18.780%18.8%14.587%14.6%4
F percentage of females in category
M percentage of males in category
# rank of place out of 4 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

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 Schuyler County, selected places in Schuyler County, and entities that contain Schuyler County
Female
Male
10x5x0xFM#Montour FallsUnited StatesMiddle AtlanticNortheastNew YorkWatkins GlenSchuylerOdessa-1.000000x-1.000000x1.573896x1.573896x1.57x0.732%0.73%1.152%1.15%1-1.000000x-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-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.393635x1.393635x1.39x1.563%1.56%2.178%2.18%2-1.000000x-1.000000x1.141862x1.141862x1.14x2.325%2.32%2.654%2.65%-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.422%1.42%0.000%0%3
F percentage of females in category
M percentage of males in category
# rank of place out of 3 by male-to-female sex ratio

Educational Attainment by County Subdivision in Schuyler County

There are 8 county subdivisions in Schuyler County. This section compares all 8 of those to each other, Schuyler County, and other entities that contain or substantially overlap with Schuyler County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Schuyler County, selected county subdivisions in Schuyler County, and entities that contain Schuyler County
0%5%10%15%Count#Town of TyroneTyroneTown of OrangeOrangeNew YorkUnited States of AmericaUnited StatesTown of MontourMontourMiddle AtlanticTown of CayutaCayutaNortheastTown of DixSchuyler CountySchuylerTown of CatharineCatharineTown of ReadingReadingTown of HectorHector17.235772%17.235772%17.2%212115.083799%15.083799%15.1%162214.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.960894%12.960894%13.0%232312.313400%12.313400%12.3%3,505,1913.51M12.302839%12.302839%12.3%39411.614335%11.614335%11.6%4,487,0854.49M10.480501%10.480501%10.5%30159.987196%9.987196%10.0%1,3269.815436%9.815436%9.8%11767.590468%7.590468%7.6%8674.824203%4.824203%4.8%1778
Count number of people in category
# rank of county subdivision out of 8 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Schuyler County, selected county subdivisions in Schuyler County, and entities that contain Schuyler County
0%10%20%30%Count#NortheastNew YorkTown of HectorHectorMiddle AtlanticUnited States of AmericaUnited StatesTown of ReadingReadingSchuyler CountySchuylerTown of CatharineCatharineTown of OrangeOrangeTown of MontourMontourTown of DixTown of TyroneTyroneTown of CayutaCayuta34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.932952%33.932952%33.9%1,245133.644618%33.644618%33.6%9,577,4379.58M30.315023%30.315023%30.3%64,767,78764.8M21.800530%21.800530%21.8%247220.840551%20.840551%20.8%2,76719.043624%19.043624%19.0%227317.132216%17.132216%17.1%184415.865922%15.865922%15.9%284513.509749%13.509749%13.5%388612.439024%12.439024%12.4%153712.302839%12.302839%12.3%398
Count number of people in category
# rank of county subdivision out of 8 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Schuyler County, selected county subdivisions in Schuyler County, and entities that contain Schuyler County
0%1%2%3%4%5%6%Count#Town of HectorHectorNew YorkNortheastMiddle AtlanticUnited States of AmericaUnited StatesSchuyler CountySchuylerTown of ReadingReadingTown of CayutaCayutaTown of TyroneTyroneTown of DixTown of CatharineCatharineTown of MontourMontourTown of OrangeOrange6.050695%6.050695%6.1%22214.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M2.485501%2.485501%2.5%3302.383054%2.383054%2.4%2721.892744%1.892744%1.9%631.544715%1.544715%1.5%1941.114206%1.114206%1.1%3250.922819%0.922819%0.9%1160.502793%0.502793%0.5%970.372439%0.372439%0.4%48
Count number of people in category
# rank of county subdivision out of 8 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#50

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 Schuyler County, selected county subdivisions in Schuyler County, and entities that contain Schuyler County
Female
Male
1x0x1x2xFM#TyroneCatharineHectorOrangeSchuylerReadingUnited StatesNortheastMiddle AtlanticNew YorkTown of DixCayutaMontour-1.000000x-1.000000x2.506853x2.506853x2.51x9.661%9.66%24.219%24.2%1-1.000000x-1.000000x1.598959x1.598959x1.60x7.521%7.52%12.026%12.0%2-1.000000x-1.000000x1.561417x1.561417x1.56x3.776%3.78%5.895%5.90%3-1.000000x-1.000000x1.366067x1.366067x1.37x12.713%12.7%17.367%17.4%4-1.000000x-1.000000x1.250035x1.250035x1.25x8.901%8.90%11.127%11.1%-1.000000x-1.000000x1.156106x1.156106x1.16x7.042%7.04%8.142%8.14%5-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-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%-1.011382x-1.011382x1.01x1.000000x1.000000x10.537%10.5%10.418%10.4%6-1.114149x-1.114149x1.11x1.000000x1.000000x12.987%13.0%11.656%11.7%7-1.360679x-1.360679x1.36x1.000000x1.000000x14.653%14.7%10.769%10.8%8
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 8 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

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 Schuyler County, selected county subdivisions in Schuyler County, and entities that contain Schuyler County
Female
Male
0x5x10xFM#OrangeTown of DixCayutaUnited StatesMiddle AtlanticNortheastNew YorkSchuylerHectorCatharineTyroneMontourReading-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.731%0.73%1-1.000000x-1.000000x3.321350x3.321350x3.32x0.530%0.53%1.761%1.76%2-1.000000x-1.000000x1.889571x1.889571x1.89x1.299%1.30%2.454%2.45%3-1.000000x-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-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.141862x1.141862x1.14x2.325%2.32%2.654%2.65%-1.000000x-1.000000x1.078237x1.078237x1.08x5.825%5.83%6.281%6.28%4-1.245128x-1.245128x1.25x1.000000x1.000000x1.026%1.03%0.824%0.82%5-1.491525x-1.491525x1.49x1.000000x1.000000x1.864%1.86%1.250%1.25%6-1.544554x-1.544554x1.54x1.000000x1.000000x0.594%0.59%0.385%0.38%7-1.691021x-1.691021x1.69x1.000000x1.000000x2.993%2.99%1.770%1.77%8
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 8 by male-to-female sex ratio

Educational Attainment by County in New York

There are 62 counties in New York. This section compares Schuyler County to the 50 most populous counties in New York and to those entities that contain or substantially overlap with Schuyler County. The least populous of the compared counties has a population of 48,713.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Schuyler County, selected other counties in New York, and entities that contain Schuyler County
0%5%10%15%20%25%Count#Bronx CountyBronxKings CountyKingsQueens CountyQueensMontgomery CountyMontgomeryFranklin CountyFranklinNew YorkSullivan CountySullivanClinton CountyClintonOswego CountyOswegoFulton CountyFultonChenango CountyChenangoUnited States of AmericaUnited StatesNew York CountyNew YorkRockland CountyRocklandWestchester CountyWestchesterCayuga CountyCayugaMiddle AtlanticOneida CountyOneidaSt. Lawrence CountySt. LawrenceCattaraugus CountyCattaraugusChautauqua CountyChautauquaNortheastWashington CountyWashingtonRichmond CountyRichmondColumbia CountyColumbiaLivingston CountyLivingstonOrange CountyOrangeSteuben CountySteubenWayne CountyWayneSuffolk CountySuffolkSchuyler CountySchuylerUlster CountyUlsterDutchess CountyDutchessHerkimer CountyHerkimerJefferson CountyJeffersonBroome CountyBroomeChemung CountyChemungSchenectady CountySchenectadyTioga CountyTiogaMonroe CountyMonroeMadison CountyMadisonCortland CountyCortlandOtsego CountyOtsegoOnondaga CountyOnondagaErie CountyErieNiagara CountyNiagaraNassau CountyNassauGenesee CountyGeneseeWarren CountyWarrenRensselaer CountyRensselaerOntario CountyOntarioPutnam CountyPutnamAlbany CountyAlbanySaratoga CountySaratogaTompkins CountyTompkins28.837398%28.837398%28.8%261,022261k120.017506%20.017506%20.0%351,046351k219.344706%19.344706%19.3%315,505316k315.512660%15.512660%15.5%5,312414.641301%14.641301%14.6%5,241514.076424%14.076424%14.1%1,900,8921.90M13.826858%13.826858%13.8%7,331613.622616%13.622616%13.6%7,522713.459931%13.459931%13.5%10,78810.8k813.300085%13.300085%13.3%5,147913.087422%13.087422%13.1%4,5451013.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k1112.743673%12.743673%12.7%25,86825.9k1212.397264%12.397264%12.4%81,98182.0k1312.376345%12.376345%12.4%6,8561412.313400%12.313400%12.3%3,505,1913.51M11.878384%11.878384%11.9%18,99919.0k1511.868424%11.868424%11.9%8,5621611.831007%11.831007%11.8%6,2981711.798083%11.798083%11.8%10,64610.6k1811.614335%11.614335%11.6%4,487,0854.49M11.474751%11.474751%11.5%5,1401911.118888%11.118888%11.1%36,06336.1k2011.086571%11.086571%11.1%5,0702111.041505%11.041505%11.0%4,7062210.585415%10.585415%10.6%25,21725.2k2310.393756%10.393756%10.4%7,0982410.019720%10.019720%10.0%6,402259.992975%9.992975%10.0%102,414102k269.987196%9.987196%10.0%1,3269.915901%9.915901%9.9%12,79312.8k279.865951%9.865951%9.9%19,99720.0k289.842217%9.842217%9.8%4,354299.812463%9.812463%9.8%7,231309.796456%9.796456%9.8%12,78812.8k319.786515%9.786515%9.8%5,909329.769541%9.769541%9.8%10,36910.4k339.753866%9.753866%9.8%3,412349.616412%9.616412%9.6%48,77848.8k359.612234%9.612234%9.6%4,576369.569456%9.569456%9.6%2,925379.526198%9.526198%9.5%3,798389.466571%9.466571%9.5%29,82529.8k399.158043%9.158043%9.2%58,41058.4k409.123949%9.123949%9.1%13,70713.7k419.121758%9.121758%9.1%85,26785.3k429.068976%9.068976%9.1%3,759438.836121%8.836121%8.8%4,190448.667169%8.667169%8.7%9,539457.365555%7.365555%7.4%5,599467.314137%7.314137%7.3%5,103477.294501%7.294501%7.3%14,88114.9k485.966083%5.966083%6.0%9,439495.495592%5.495592%5.5%3,27950
Count number of people in category
# rank of county 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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Schuyler County, selected other counties in New York, and entities that contain Schuyler County
0%10%20%30%40%50%60%Count#New York CountyNew YorkTompkins CountyTompkinsWestchester CountyWestchesterNassau CountyNassauRockland CountyRocklandAlbany CountyAlbanySaratoga CountySaratogaPutnam CountyPutnamMonroe CountyMonroeNortheastNew YorkSuffolk CountySuffolkOnondaga CountyOnondagaKings CountyKingsDutchess CountyDutchessMiddle AtlanticErie CountyErieOntario CountyOntarioRichmond CountyRichmondUlster CountyUlsterQueens CountyQueensSchenectady CountySchenectadyUnited States of AmericaUnited StatesColumbia CountyColumbiaRensselaer CountyRensselaerOrange CountyOrangeOtsego CountyOtsegoWarren CountyWarrenBroome CountyBroomeMadison CountyMadisonTioga CountyTiogaCortland CountyCortlandLivingston CountyLivingstonChemung CountyChemungOneida CountyOneidaNiagara CountyNiagaraSt. Lawrence CountySt. LawrenceSullivan CountySullivanSteuben CountySteubenClinton CountyClintonCayuga CountyCayugaHerkimer CountyHerkimerGenesee CountyGeneseeWayne CountyWayneChautauqua CountyChautauquaSchuyler CountySchuylerJefferson CountyJeffersonWashington CountyWashingtonBronx CountyBronxFranklin CountyFranklinCattaraugus CountyCattaraugusOswego CountyOswegoChenango CountyChenangoFulton CountyFultonMontgomery CountyMontgomery60.434640%60.434640%60.4%747,953748k151.602253%51.602253%51.6%30,78930.8k247.303651%47.303651%47.3%312,811313k343.543885%43.543885%43.5%407,033407k440.422786%40.422786%40.4%82,05382.1k539.728337%39.728337%39.7%81,04781.0k639.649582%39.649582%39.6%62,73062.7k738.932764%38.932764%38.9%27,16327.2k836.664715%36.664715%36.7%185,977186k934.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.384794%34.384794%34.4%352,396352k1034.320248%34.320248%34.3%108,128108k1134.081468%34.081468%34.1%597,685598k1233.970605%33.970605%34.0%68,85468.9k1333.644618%33.644618%33.6%9,577,4379.58M32.199279%32.199279%32.2%205,367205k1432.078773%32.078773%32.1%24,38524.4k1531.359684%31.359684%31.4%101,712102k1630.970817%30.970817%31.0%39,95740.0k1730.595789%30.595789%30.6%499,006499k1830.581518%30.581518%30.6%32,45832.5k1930.315023%30.315023%30.3%64,767,78764.8M29.520457%29.520457%29.5%13,50013.5k2029.310642%29.310642%29.3%32,25932.3k2128.697360%28.697360%28.7%68,36468.4k2228.503348%28.503348%28.5%11,36411.4k2328.416879%28.416879%28.4%13,47513.5k2427.757647%27.757647%27.8%36,23436.2k2526.710919%26.710919%26.7%12,71612.7k2625.036448%25.036448%25.0%8,7582724.782438%24.782438%24.8%7,5752824.476197%24.476197%24.5%10,43210.4k2924.443929%24.443929%24.4%14,75914.8k3023.787403%23.787403%23.8%38,04738.0k3123.494485%23.494485%23.5%35,29635.3k3222.772071%22.772071%22.8%16,42816.4k3322.355715%22.355715%22.4%11,85311.9k3422.348479%22.348479%22.3%15,26215.3k3522.241339%22.241339%22.2%12,28112.3k3621.622500%21.622500%21.6%11,97812.0k3721.529002%21.529002%21.5%9,5243821.230910%21.230910%21.2%8,8003921.216390%21.216390%21.2%13,55613.6k4020.841137%20.841137%20.8%18,80618.8k4120.840551%20.840551%20.8%2,76720.753949%20.753949%20.8%15,29415.3k4220.246015%20.246015%20.2%9,0694319.131504%19.131504%19.1%173,169173k4418.401497%18.401497%18.4%6,5874518.127853%18.127853%18.1%9,6504618.032664%18.032664%18.0%14,45314.5k4717.435499%17.435499%17.4%6,0554817.003023%17.003023%17.0%6,5804915.965307%15.965307%16.0%5,46750
Count number of people in category
# rank of county 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#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Schuyler County, selected other counties in New York, and entities that contain Schuyler County
0%5%10%Count#Tompkins CountyTompkinsNew York CountyNew YorkWestchester CountyWestchesterNassau CountyNassauAlbany CountyAlbanyRockland CountyRocklandNew YorkOtsego CountyOtsegoMonroe CountyMonroeOnondaga CountyOnondagaNortheastSuffolk CountySuffolkMiddle AtlanticSaratoga CountySaratogaErie CountyErieDutchess CountyDutchessPutnam CountyPutnamKings CountyKingsUnited States of AmericaUnited StatesColumbia CountyColumbiaOntario CountyOntarioRensselaer CountyRensselaerSchenectady CountySchenectadyUlster CountyUlsterBroome CountyBroomeRichmond CountyRichmondMadison CountyMadisonSt. Lawrence CountySt. LawrenceWarren CountyWarrenQueens CountyQueensLivingston CountyLivingstonOrange CountyOrangeSchuyler CountySchuylerClinton CountyClintonCortland CountyCortlandOneida CountyOneidaSullivan CountySullivanSteuben CountySteubenChemung CountyChemungJefferson CountyJeffersonFranklin CountyFranklinChautauqua CountyChautauquaCayuga CountyCayugaBronx CountyBronxNiagara CountyNiagaraTioga CountyTiogaGenesee CountyGeneseeWashington CountyWashingtonHerkimer CountyHerkimerWayne CountyWayneChenango CountyChenangoMontgomery CountyMontgomeryOswego CountyOswegoCattaraugus CountyCattaraugusFulton CountyFulton12.367177%12.367177%12.4%7,379110.788423%10.788423%10.8%133,520134k27.604460%7.604460%7.6%50,28750.3k35.833659%5.833659%5.8%54,53154.5k45.550409%5.550409%5.6%11,32311.3k54.542163%4.542163%4.5%9,22064.230387%4.230387%4.2%571,275571k4.211292%4.211292%4.2%1,67974.201981%4.201981%4.2%21,31421.3k84.157356%4.157356%4.2%13,09813.1k94.085016%4.085016%4.1%1,578,2061.58M3.962200%3.962200%4.0%40,60740.6k103.884861%3.884861%3.9%1,105,8831.11M3.849922%3.849922%3.8%6,091113.688617%3.688617%3.7%23,52623.5k123.625788%3.625788%3.6%7,349133.518755%3.518755%3.5%2,455143.384967%3.384967%3.4%59,36259.4k153.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,521163.295359%3.295359%3.3%2,505173.277333%3.277333%3.3%3,607183.269390%3.269390%3.3%3,470193.219006%3.219006%3.2%4,153203.112527%3.112527%3.1%4,063213.037245%3.037245%3.0%9,851223.003823%3.003823%3.0%1,430232.953937%2.953937%3.0%2,131242.777368%2.777368%2.8%1,317252.756960%2.756960%2.8%44,96545.0k262.702893%2.702893%2.7%1,152272.566912%2.566912%2.6%6,115282.485501%2.485501%2.5%3302.463010%2.463010%2.5%1,360292.385003%2.385003%2.4%729302.301402%2.301402%2.3%3,681312.242550%2.242550%2.2%1,189322.197947%2.197947%2.2%1,501332.085162%2.085162%2.1%1,259341.864517%1.864517%1.9%1,374351.854956%1.854956%1.9%664361.846290%1.846290%1.8%1,666371.767276%1.767276%1.8%979381.664253%1.664253%1.7%15,06415.1k391.656782%1.656782%1.7%2,489401.649467%1.649467%1.6%577411.544066%1.544066%1.5%640421.484574%1.484574%1.5%665431.467065%1.467065%1.5%649441.388237%1.388237%1.4%887451.333218%1.333218%1.3%463461.305376%1.305376%1.3%447471.301326%1.301326%1.3%1,043481.245468%1.245468%1.2%663490.963849%0.963849%1.0%37350
Count number of people in category
# rank of county 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#55

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 Schuyler County, selected other counties in New York, and entities that contain Schuyler County
Female
Male
1x0x1xFM#FranklinCayugaWashingtonWarrenColumbiaFultonPutnamOntarioTiogaOtsegoCortlandChemungSullivanChenangoChautauquaClintonTompkinsJeffersonOswegoSt. LawrenceWayneSteubenRensselaerMontgomeryUlsterSchuylerSchenectadyCattaraugusMadisonSaratogaGeneseeOneidaLivingstonDutchessWestchesterSuffolkNiagaraUnited StatesRocklandOnondagaNortheastNassauMiddle AtlanticHerkimerNew YorkOrangeMonroeBronxKingsRichmondErieAlbanyQueensNew YorkBroome-1.000000x-1.000000x1.676618x1.676618x1.68x10.704%10.7%17.947%17.9%1-1.000000x-1.000000x1.661763x1.661763x1.66x9.264%9.26%15.394%15.4%2-1.000000x-1.000000x1.612603x1.612603x1.61x8.744%8.74%14.101%14.1%3-1.000000x-1.000000x1.493910x1.493910x1.49x7.139%7.14%10.665%10.7%4-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%5-1.000000x-1.000000x1.478916x1.478916x1.48x10.782%10.8%15.946%15.9%6-1.000000x-1.000000x1.476936x1.476936x1.48x5.930%5.93%8.759%8.76%7-1.000000x-1.000000x1.448610x1.448610x1.45x6.059%6.06%8.778%8.78%8-1.000000x-1.000000x1.404241x1.404241x1.40x8.150%8.15%11.445%11.4%9-1.000000x-1.000000x1.392068x1.392068x1.39x8.007%8.01%11.147%11.1%10-1.000000x-1.000000x1.366830x1.366830x1.37x8.120%8.12%11.098%11.1%11-1.000000x-1.000000x1.366459x1.366459x1.37x8.295%8.29%11.334%11.3%12-1.000000x-1.000000x1.357710x1.357710x1.36x11.703%11.7%15.889%15.9%13-1.000000x-1.000000x1.349435x1.349435x1.35x11.170%11.2%15.073%15.1%14-1.000000x-1.000000x1.332333x1.332333x1.33x10.159%10.2%13.535%13.5%15-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%16-1.000000x-1.000000x1.301060x1.301060x1.30x4.804%4.80%6.250%6.25%17-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%18-1.000000x-1.000000x1.282344x1.282344x1.28x11.809%11.8%15.144%15.1%19-1.000000x-1.000000x1.277028x1.277028x1.28x10.416%10.4%13.302%13.3%20-1.000000x-1.000000x1.268662x1.268662x1.27x8.854%8.85%11.233%11.2%21-1.000000x-1.000000x1.264635x1.264635x1.26x9.196%9.20%11.630%11.6%22-1.000000x-1.000000x1.263722x1.263722x1.26x7.697%7.70%9.727%9.73%23-1.000000x-1.000000x1.262621x1.262621x1.26x13.769%13.8%17.386%17.4%24-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%25-1.000000x-1.000000x1.250035x1.250035x1.25x8.901%8.90%11.127%11.1%-1.000000x-1.000000x1.243622x1.243622x1.24x8.756%8.76%10.889%10.9%26-1.000000x-1.000000x1.240605x1.240605x1.24x10.591%10.6%13.140%13.1%27-1.000000x-1.000000x1.240273x1.240273x1.24x8.609%8.61%10.677%10.7%28-1.000000x-1.000000x1.209127x1.209127x1.21x5.416%5.42%6.548%6.55%29-1.000000x-1.000000x1.202924x1.202924x1.20x8.243%8.24%9.916%9.92%30-1.000000x-1.000000x1.202089x1.202089x1.20x10.808%10.8%12.993%13.0%31-1.000000x-1.000000x1.187560x1.187560x1.19x10.086%10.1%11.978%12.0%32-1.000000x-1.000000x1.169090x1.169090x1.17x9.108%9.11%10.648%10.6%33-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%34-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%35-1.000000x-1.000000x1.114709x1.114709x1.11x8.650%8.65%9.642%9.64%36-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.096677x1.096677x1.10x12.182%12.2%13.359%13.4%37-1.000000x-1.000000x1.083462x1.083462x1.08x9.107%9.11%9.867%9.87%38-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%39-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.058347x1.058347x1.06x9.571%9.57%10.129%10.1%40-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.045687x1.045687x1.05x10.357%10.4%10.830%10.8%41-1.000000x-1.000000x1.038959x1.038959x1.04x9.443%9.44%9.811%9.81%42-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%43-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%44-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%45-1.009543x-1.009543x1.01x1.000000x1.000000x9.199%9.20%9.112%9.11%46-1.021465x-1.021465x1.02x1.000000x1.000000x7.368%7.37%7.213%7.21%47-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%48-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%49-1.062799x-1.062799x1.06x1.000000x1.000000x10.082%10.1%9.486%9.49%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

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 Schuyler County, selected other counties in New York, and entities that contain Schuyler County
Female
Male
1x0x1x2xFM#NiagaraWarrenChemungChautauquaSteubenOneidaCattaraugusBroomeFranklinSaratogaFultonSt. LawrenceChenangoErieSchenectadyDutchessOtsegoSuffolkMadisonWestchesterAlbanyNassauHerkimerMonroeClintonRocklandSullivanOnondagaTompkinsUnited StatesOswegoColumbiaMiddle AtlanticNortheastPutnamCayugaNew YorkRensselaerLivingstonWayneQueensOntarioKingsGeneseeCortlandNew YorkRichmondUlsterBronxOrangeSchuylerTiogaWashingtonJeffersonMontgomery-1.000000x-1.000000x2.623417x2.623417x2.62x0.933%0.93%2.448%2.45%1-1.000000x-1.000000x2.309887x2.309887x2.31x1.703%1.70%3.935%3.93%2-1.000000x-1.000000x2.269046x2.269046x2.27x1.285%1.28%2.915%2.92%3-1.000000x-1.000000x2.184543x2.184543x2.18x1.172%1.17%2.560%2.56%4-1.000000x-1.000000x2.072852x2.072852x2.07x1.439%1.44%2.982%2.98%5-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%6-1.000000x-1.000000x2.040766x2.040766x2.04x0.827%0.83%1.687%1.69%7-1.000000x-1.000000x1.874729x1.874729x1.87x2.193%2.19%4.112%4.11%8-1.000000x-1.000000x1.828162x1.828162x1.83x1.279%1.28%2.338%2.34%9-1.000000x-1.000000x1.825162x1.825162x1.83x2.748%2.75%5.015%5.02%10-1.000000x-1.000000x1.789442x1.789442x1.79x0.696%0.70%1.245%1.25%11-1.000000x-1.000000x1.720279x1.720279x1.72x2.168%2.17%3.730%3.73%12-1.000000x-1.000000x1.688019x1.688019x1.69x0.996%1.00%1.682%1.68%13-1.000000x-1.000000x1.678671x1.678671x1.68x2.792%2.79%4.687%4.69%14-1.000000x-1.000000x1.661166x1.661166x1.66x2.488%2.49%4.133%4.13%15-1.000000x-1.000000x1.644543x1.644543x1.64x2.753%2.75%4.527%4.53%16-1.000000x-1.000000x1.631087x1.631087x1.63x3.226%3.23%5.262%5.26%17-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%18-1.000000x-1.000000x1.619958x1.619958x1.62x2.309%2.31%3.741%3.74%19-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%20-1.000000x-1.000000x1.595049x1.595049x1.60x4.329%4.33%6.905%6.91%21-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%22-1.000000x-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%23-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%24-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%25-1.000000x-1.000000x1.553427x1.553427x1.55x3.593%3.59%5.581%5.58%26-1.000000x-1.000000x1.543599x1.543599x1.54x1.758%1.76%2.713%2.71%27-1.000000x-1.000000x1.532394x1.532394x1.53x3.321%3.32%5.090%5.09%28-1.000000x-1.000000x1.530493x1.530493x1.53x9.865%9.87%15.099%15.1%29-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519403x1.519403x1.52x1.035%1.04%1.573%1.57%30-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%31-1.000000x-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-1.000000x1.478281x1.478281x1.48x2.851%2.85%4.215%4.22%32-1.000000x-1.000000x1.439375x1.439375x1.44x1.445%1.44%2.080%2.08%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.395730x1.395730x1.40x2.756%2.76%3.847%3.85%34-1.000000x-1.000000x1.390949x1.390949x1.39x2.257%2.26%3.140%3.14%35-1.000000x-1.000000x1.314960x1.314960x1.31x1.203%1.20%1.581%1.58%36-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%37-1.000000x-1.000000x1.271962x1.271962x1.27x2.915%2.91%3.707%3.71%38-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%39-1.000000x-1.000000x1.261523x1.261523x1.26x1.368%1.37%1.725%1.73%40-1.000000x-1.000000x1.254260x1.254260x1.25x2.122%2.12%2.662%2.66%41-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%42-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%43-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.187784x1.187784x1.19x2.353%2.35%2.795%2.80%46-1.000000x-1.000000x1.141862x1.141862x1.14x2.325%2.32%2.654%2.65%-1.000000x-1.000000x1.095052x1.095052x1.10x1.577%1.58%1.726%1.73%47-1.000000x-1.000000x1.081362x1.081362x1.08x1.425%1.43%1.541%1.54%48-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%49-1.069542x-1.069542x1.07x1.000000x1.000000x1.348%1.35%1.260%1.26%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Schuyler County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Schuyler County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Schuyler County, selected other counties in the United States, and entities that contain Schuyler County
0%5%10%15%20%25%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookNew YorkSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangeMiddle AtlanticPima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardNortheastCuyahoga CountyCuyahogaContra Costa CountyContra CostaMecklenburg CountyMecklenburgSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkSchuyler CountySchuylerFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1714.076424%14.076424%14.1%1,900,8921.90M13.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.313400%12.313400%12.3%3,505,1913.51M12.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.614335%11.614335%11.6%4,487,0854.49M11.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.987196%9.987196%10.0%1,3269.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county 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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Schuyler County, selected other counties in the United States, and entities that contain Schuyler County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookNortheastNew YorkSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsMiddle AtlanticHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideSchuyler CountySchuylerFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.644618%33.644618%33.6%9,577,4379.58M33.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4127.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4720.840551%20.840551%20.8%2,76719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county 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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Schuyler County, selected other counties in the United States, and entities that contain Schuyler County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookNew YorkCuyahoga CountyCuyahogaPima CountyPimaNortheastHonolulu CountyHonoluluSuffolk CountySuffolkMiddle AtlanticMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeBexar CountyBexarQueens CountyQueensSchuyler CountySchuylerFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.230387%4.230387%4.2%571,275571k4.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k254.085016%4.085016%4.1%1,578,2061.58M3.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.884861%3.884861%3.9%1,105,8831.11M3.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.485501%2.485501%2.5%3302.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county 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#60

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 Schuyler County, selected other counties in the United States, and entities that contain Schuyler County
Female
Male
1x0x1xFM#MecklenburgSchuylerPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookNortheastMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeMiddle AtlanticFranklinSacramentoMontgomeryNew YorkBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.250035x1.250035x1.25x8.901%8.90%11.127%11.1%-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

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 Schuyler County, selected other counties in the United States, and entities that contain Schuyler County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonMiddle AtlanticContra CostaMilwaukeeSan DiegoNortheastOrangeFresnoHillsboroughHarrisNew YorkMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronxSchuyler-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50-1.000000x-1.000000x1.141862x1.141862x1.14x2.325%2.32%2.654%2.65%
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Towns:
Catharine, Cayuta, Dix, Hector, Montour, Orange, Reading, Tyrone
Villages:
Burdett, Montour Falls, Odessa, Watkins Glen
ZIP Codes:
14805, 14812, 14815, 14818, 14824, 14837, 14840, 14841, 14864, 14865, 14869, 14870, 14878, 14886, 14889, 14891
Unified School Districts:
Bradford, Corning, Dundee, Hammondsport, Horseheads, Odessa-Montour, South Seneca, Spencer-Van Etten, Trumansburg, Watkins Glen
Congressional District:
NY-23
State Senate District:
NY-58
Assembly District:
NY-132
Neighboring Counties:
Chemung, Seneca, Steuben, Tompkins, Yates
Nearby Counties:
Bradford, Cayuga, Cortland, Livingston, Onondaga, Ontario, Tioga, Tioga