Educational Attainment in Clinton County, New York (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of New York and Clinton County
Clinton County
New York
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.401253%43.362833%32.401253%32.4%17,89117.9k53.976131%42.560743%53.976131%54.0%29,80429.8k13.622616%14.076424%13.622616%13.6%7,522
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 Clinton County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-25.278745%-25.278745%-25.3%32.401%32.4%43.363%43.4%26.821402%26.821402%+26.8%53.976%54.0%42.561%42.6%-3.223886%-3.223886%-3.2%13.623%13.6%14.076%14.1%
% percentage with given level in Clinton 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 Clinton County
Clinton County
New York
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.054023%1.473954%1.054023%1.1%5821.408986%2.756433%1.408986%1.4%7788.151475%10.855739%8.151475%8.2%4,50111.626854%19.654818%11.626854%11.6%6,42010.159915%8.621889%10.159915%10.2%5,61018.439973%16.128337%18.439973%18.4%10,18210.2k35.536157%26.432406%35.536157%35.5%19,62219.6k8.901244%7.544155%8.901244%8.9%4,9153.660105%4.633976%3.660105%3.7%2,0211.061267%1.898293%1.061267%1.1%586
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 Clinton County
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-28.490098%-28.490098%-28.5%1.054%1.05%1.474%1.47%-48.883707%-48.883707%-48.9%1.409%1.41%2.756%2.76%-24.910915%-24.910915%-24.9%8.151%8.15%10.856%10.9%-40.844765%-40.844765%-40.8%11.627%11.6%19.655%19.7%17.838619%17.838619%+17.8%10.160%10.2%8.622%8.62%14.332763%14.332763%+14.3%18.440%18.4%16.128%16.1%34.441631%34.441631%+34.4%35.536%35.5%26.432%26.4%17.988612%17.988612%+18.0%8.901%8.90%7.544%7.54%-21.015895%-21.015895%-21.0%3.660%3.66%4.634%4.63%-44.093582%-44.093582%-44.1%1.061%1.06%1.898%1.90%
% percentage with given level in Clinton 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 Clinton County
More Females More Males
New York
Clinton County
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-38.529163%-7.071483%-38.529163%39%37.838%37.8%27.314%27.3%13.355161%5.599805%13.355161%13%50.493%50.5%57.236%57.2%32.395114%4.608047%32.395114%32%11.670%11.7%15.450%15.5%
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 Clinton County
More Females More Males
New York
Clinton County
100%50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None80.107856%44.135478%80.107856%80%0.746%0.75%1.343%1.34%41.276887%40.202453%41.276887%41%1.161%1.16%1.641%1.64%-114.647544%-35.501157%-114.647544%115%11.258%11.3%5.245%5.24%-27.123415%-27.123415%27%2.270902%13.067%13.1%10.279%10.3%-31.787682%-20.836943%-31.787682%32%11.606%11.6%8.807%8.81%8.763636%6.906283%8.763636%9%17.641%17.6%19.187%19.2%15.820835%4.810298%15.820835%16%32.851%32.9%38.049%38.0%20.051227%10.700533%20.051227%20%8.066%8.07%9.683%9.68%-0.222558%76.214999%76.214999%76%2.626%2.63%4.628%4.63%-6.719664%16.527871%16.527871%17%0.978%0.98%1.139%1.14%
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 Clinton County
Clinton County
New York
0%5%10%15%20%25%B.X.Total65+45-6435-4425-348.478014%12.423176%8.478014%8.5%1,04512,32612.3k10.840679%17.896303%10.840679%10.8%2,52123,25523.3k15.087464%21.971563%15.087464%15.1%1,4499,60414.005183%28.276328%14.005183%14.0%1,40510,03210.0k
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 Clinton County
50%40%30%20%10%0%%ref.65+45-6435-4425-34-31.756471%-31.756471%31.8%8.478%8.48%12.423%12.4%-39.425035%-39.425035%39.4%10.841%10.8%17.896%17.9%-31.331860%-31.331860%31.3%15.087%15.1%21.972%22.0%-50.470289%-50.470289%50.5%14.005%14.0%28.276%28.3%
% percentage in Clinton 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 Clinton County
More Females More Males
New York
Clinton County
40%20%0%20%FM65+45-6435-4425-34-19.170833%-19.170833%19.2%33.023651%9.141%9.14%7.670%7.67%-41.206924%-41.206924%41.2%1.970870%12.742%12.7%9.024%9.02%-27.394604%-6.438767%-27.394604%27.4%17.110%17.1%13.431%13.4%-28.911268%-12.233214%-28.911268%28.9%16.092%16.1%12.483%12.5%
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 Clinton County
Clinton County
New York
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$60,613.000000$72,399.000000$60,613.000000$60.6k5,86110.614%10.6%$42,677.000000$55,375.000000$42,677.000000$42.7k6,42011.627%11.6%$34,441.000000$36,986.000000$34,441.000000$34.4k15,79215.8k28.600%28.6%$30,490.000000$30,365.000000$30,490.000000$30.5k19,62219.6k35.536%35.5%$19,881.000000$20,519.000000$19,881.000000$19.9k7,52213.623%13.6%$35,068.000000$41,004.000000$35,068.000000$35.1k55,21755.2k100.000%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 Clinton County
Female Male
New York
Clinton County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-55,462.000000$-63,343.000000$-55,462.000000$55.5k$55,462.000000$17,038.000000$63,343.000000$23,803.000000$72,500.000000$72.5k3,5142,347$-38,194.000000$-49,056.000000$-38,194.000000$38.2k$38,194.000000$17,146.000000$49,056.000000$15,512.000000$55,340.000000$55.3k3,4882,932$-29,013.000000$-31,735.000000$-29,013.000000$29.0k$29,013.000000$12,403.000000$31,735.000000$11,868.000000$41,416.000000$41.4k7,8077,985$-23,301.000000$-24,345.000000$-23,301.000000$23.3k$23,301.000000$11,546.000000$24,345.000000$11,127.000000$34,847.000000$34.8k8,76910,85310.9k$-15,370.000000$-16,152.000000$-15,370.000000$15.4k$15,370.000000$11,668.000000$16,152.000000$7,310.000000$27,038.000000$27.0k3,1154,407$-30,328.000000$-35,927.000000$-30,328.000000$30.3k$30,328.000000$10,086.000000$35,927.000000$10,547.000000$40,414.000000$40.4k26,69326.7k28,52428.5k
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 Clinton County
Clinton 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%150.000000%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 Clinton County
Clinton County
New York
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.529376%83.757888%81.529376%81.5%8,00771.250859%74.250177%71.250859%71.3%9,33656.329755%66.710729%56.329755%56.3%8,34339.080683%53.477224%39.080683%39.1%2,015
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 Clinton County
Female Male
New York
Clinton County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-11.431034%-7.010475%-11.431034%11.4%11.431034%1.182268%7.010475%0.656174%12.613302%12.6%3,1312,918-14.396887%-16.701438%-14.396887%14.4%14.396887%17.273701%16.701438%1.459915%31.670588%31.7%67337-13.779528%-0.926355%-20.301815%-2.571975%-14.705882%14.7%13.779528%20.301815%13.779528%13.8%3545-16.426513%-31.379019%-16.426513%16.4%16.426513%36.412421%31.379019%1.968087%52.838934%52.8%45657-27.383863%-31.931206%-27.383863%27.4%27.383863%11.361157%31.931206%2.116169%38.745020%38.7%389112
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 Clinton County
Female Male
New York
Clinton County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-20.114410%-5.709228%-40.543483%-0.368528%-25.823638%25.8%20.114410%40.543483%20.114410%20.1%4,9936,592-2.682353%-37.395468%-19.678068%-5.271968%-40.077821%40.1%2.682353%19.678068%2.682353%2.7%57103-51.307190%-45.028356%-51.307190%51.3%51.307190%4.992023%45.028356%1.700641%56.299213%56.3%143157-4.634994%-27.929847%-15.579824%-4.078609%-32.564841%32.6%4.634994%15.579824%4.634994%4.6%40113-5.179283%-16.336610%-15.106332%-4.239492%-21.515892%21.5%5.179283%15.106332%5.179283%5.2%5288
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 Clinton 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
10%18%25%33%40%48%

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
39%45%50%55%60%66%

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
8.7%11.9%15.0%18.2%21.3%24.5%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.47%0.94%1.41%1.88%2.35%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.3%2.0%2.7%3.4%

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
1.4%3.5%5.6%7.7%9.7%11.9%

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
3.2%5.8%8.4%11.0%13.6%16.2%

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
5.4%7.7%9.9%12.2%14.4%16.7%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
13.1%15.7%18.2%20.8%23.3%25.9%

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
24%30%36%41%46%52%

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
5.4%7.4%9.3%11.2%13.1%15.1%

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
1.2%2.7%4.2%5.7%7.1%8.6%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.64%1.07%1.50%1.93%2.36%2.79%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Clinton 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
13%23%33%42%52%62%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
30%37%44%51%58%65%

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
0.0%4.6%9.2%13.8%18.4%23.1%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.5%3.7%5.0%6.3%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.5%3.7%5.0%6.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.0%8.0%12.0%16.0%20.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4%11%17%23%29%36%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.8%8.0%10.2%12.3%14.5%16.7%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
12%20%27%34%41%49%

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
0%10%20%30%40%50%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.8%5.5%8.3%11.0%13.8%

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
0.0%1.5%3.0%4.5%6.1%7.6%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.5%2.2%3.0%3.8%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Clinton County

There are 17 places that are fully or partially contained within Clinton County (16 fully and 1 partially). This section compares all 17 of those to each other, Clinton County, and other entities that contain or substantially overlap with Clinton 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 Clinton County, selected places in Clinton County, and entities that contain Clinton County
0%5%10%15%20%25%Count#DannemoraAltonaParcPlattsburgh WestPlattsburgh WWest ChazyKeesevilleMooersLyon MountainAu Sable ForksChamplainNew YorkPlattsburgh Metro AreaPlattsburghClinton CountyClintonUnited States of AmericaUnited StatesMiddle AtlanticPlattsburghNortheastRouses PointCumberland HeadMorrisonvilleRedfordPeruChazy26.571178%26.571178%26.6%909126.498423%26.498423%26.5%168226.086957%26.086957%26.1%6322.846079%22.846079%22.8%236421.627409%21.627409%21.6%101519.734660%19.734660%19.7%238616.666667%16.666667%16.7%44715.679443%15.679443%15.7%45815.596330%15.596330%15.6%51914.109589%14.109589%14.1%1031014.076424%14.076424%14.1%1,900,8921.90M13.622616%13.622616%13.6%7,52213.622616%13.622616%13.6%7,52213.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.835792%11.835792%11.8%1,3321111.614335%11.614335%11.6%4,487,0854.49M10.473186%10.473186%10.5%166128.912656%8.912656%8.9%100135.037513%5.037513%5.0%47144.460967%4.460967%4.5%12153.732504%3.732504%3.7%48162.000000%2.000000%2.0%717
Count number of people in category
# rank of place out of 17 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 Clinton County, selected places in Clinton County, and entities that contain Clinton County
0%10%20%30%40%Count#Cumberland HeadPeruNortheastNew YorkMiddle AtlanticPlattsburghUnited States of AmericaUnited StatesParcRedfordRouses PointPlattsburgh Metro AreaPlattsburghClinton CountyClintonMooersMorrisonvilleChamplainChazyWest ChazyKeesevilleAu Sable ForksLyon MountainPlattsburgh WestPlattsburgh WDannemoraAltona44.028520%44.028520%44.0%494139.113530%39.113530%39.1%503234.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M32.086369%32.086369%32.1%3,611330.315023%30.315023%30.3%64,767,78764.8M26.086957%26.086957%26.1%6423.791822%23.791822%23.8%64522.712934%22.712934%22.7%360622.241339%22.241339%22.2%12,28112.3k22.241339%22.241339%22.2%12,28112.3k20.075758%20.075758%20.1%53719.614148%19.614148%19.6%183819.178082%19.178082%19.2%140914.571429%14.571429%14.6%511013.918630%13.918630%13.9%651112.271973%12.271973%12.3%148129.785933%9.785933%9.8%32138.710801%8.710801%8.7%25148.422072%8.422072%8.4%87153.858521%3.858521%3.9%132162.839117%2.839117%2.8%1817
Count number of people in category
# rank of place out of 17 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 Clinton County, selected places in Clinton County, and entities that contain Clinton County
0%2%4%6%Count#Cumberland HeadPlattsburghLyon MountainNew YorkNortheastMiddle AtlanticUnited States of AmericaUnited StatesPlattsburgh Metro AreaPlattsburghClinton CountyClintonKeesevilleMorrisonvillePeruRouses PointPlattsburgh WestPlattsburgh WDannemoraChamplainWest ChazyAltonaChazyRedfordAu Sable ForksMooersParc7.486631%7.486631%7.5%8414.620579%4.620579%4.6%52024.529617%4.529617%4.5%1334.230387%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%7,127,6737.13M2.463010%2.463010%2.5%1,3602.463010%2.463010%2.5%1,3601.824212%1.824212%1.8%2241.822079%1.822079%1.8%1751.555210%1.555210%1.6%2060.946372%0.946372%0.9%1570.774443%0.774443%0.8%880.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%017
Count number of people in category
# rank of place out of 17 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 Clinton County, selected places in Clinton County, and entities that contain Clinton County
Female
Male
10x5x0x5x10xFM#RedfordParcMorrisonvilleDannemoraPeruPlattsburghClintonPlattsburghCumberland HeadUnited StatesKeesevilleNortheastMiddle AtlanticNew YorkPlattsburgh WChamplainWest ChazyRouses PointAu Sable ForksAltonaLyon MountainChazyMooers-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.538%11.5%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%100.000%100%2-1.000000x-1.000000x5.852799x5.852799x5.85x1.661%1.66%9.719%9.72%3-1.000000x-1.000000x4.933276x4.933276x4.93x5.782%5.78%28.526%28.5%4-1.000000x-1.000000x1.330470x1.330470x1.33x3.211%3.21%4.272%4.27%5-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%-1.000000x-1.000000x1.213460x1.213460x1.21x10.746%10.7%13.040%13.0%6-1.000000x-1.000000x1.111693x1.111693x1.11x8.438%8.44%9.381%9.38%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.096682x1.096682x1.10x18.894%18.9%20.721%20.7%8-1.000000x-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%-1.123051x-1.123051x1.12x1.000000x1.000000x24.144%24.1%21.499%21.5%9-1.200096x-1.200096x1.20x1.000000x1.000000x15.233%15.2%12.693%12.7%10-1.211113x-1.211113x1.21x1.000000x1.000000x23.707%23.7%19.574%19.6%11-1.237368x-1.237368x1.24x1.000000x1.000000x11.507%11.5%9.299%9.30%12-1.276740x-1.276740x1.28x1.000000x1.000000x17.204%17.2%13.475%13.5%13-1.407904x-1.407904x1.41x1.000000x1.000000x34.862%34.9%24.762%24.8%14-2.079633x-2.079633x2.08x1.000000x1.000000x20.946%20.9%10.072%10.1%15-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.125%3.13%0.000%0%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x21.463%21.5%0.000%0%17
F percentage of females in category
M percentage of males in category
# rank of place out of 17 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 Clinton County, selected places in Clinton County, and entities that contain Clinton County
Female
Male
10x5x0x5x10xFM#Rouses PointPeruMorrisonvilleCumberland HeadPlattsburghClintonPlattsburghUnited StatesMiddle AtlanticNortheastNew YorkPlattsburgh WKeesevilleLyon Mountain-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.022%2.02%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.165%3.16%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.348%4.35%3-1.000000x-1.000000x2.464602x2.464602x2.46x4.309%4.31%10.619%10.6%4-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%-1.000000x-1.000000x1.531499x1.531499x1.53x3.689%3.69%5.650%5.65%5-1.000000x-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-1.000000x1.037475x1.037475x1.04x0.760%0.76%0.789%0.79%6-1.231439x-1.231439x1.23x1.000000x1.000000x1.997%2.00%1.622%1.62%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.784%8.78%0.000%0%8
F percentage of females in category
M percentage of males in category
# rank of place out of 8 by male-to-female sex ratio

Educational Attainment by County Subdivision in Clinton County

There are 15 county subdivisions in Clinton County. This section compares all 15 of those to each other, Clinton County, and other entities that contain or substantially overlap with Clinton 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 Clinton County, selected county subdivisions in Clinton County, and entities that contain Clinton County
0%5%10%15%20%Count#Town of DannemoraDannemoraTown of ClintonClintonTown of AltonaAltonaTown of EllenburgEllenburgTown of ChamplainChamplainTown of Au SableAu SableNew YorkPlattsburgh Metro AreaPlattsburghClinton CountyClintonTown of Black BrookBlack BrkUnited States of AmericaUnited StatesTown of PeruTown of ChazyTown of PlattsburghPlattsburghMiddle AtlanticTown of MooersMooersPlattsburghNortheastTown of Schuyler FallsSchuyler FallsTown of BeekmantownBeekmantownTown of SaranacSaranac24.473948%24.473948%24.5%977122.746781%22.746781%22.7%106219.088176%19.088176%19.1%381318.495298%18.495298%18.5%236415.941671%15.941671%15.9%645515.283019%15.283019%15.3%324614.076424%14.076424%14.1%1,900,8921.90M13.622616%13.622616%13.6%7,52213.622616%13.622616%13.6%7,52213.461538%13.461538%13.5%147713.020590%13.020590%13.0%27,818,38027.8M12.977254%12.977254%13.0%639812.942401%12.942401%12.9%373912.724014%12.724014%12.7%1,0651012.313400%12.313400%12.3%3,505,1913.51M12.277992%12.277992%12.3%3181111.835792%11.835792%11.8%1,3321211.614335%11.614335%11.6%4,487,0854.49M10.726257%10.726257%10.7%384139.152288%9.152288%9.2%366148.707224%8.707224%8.7%22915
Count number of people in category
# rank of county subdivision out of 15 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 Clinton County, selected county subdivisions in Clinton County, and entities that contain Clinton County
0%10%20%30%Count#NortheastNew YorkMiddle AtlanticPlattsburghTown of PeruUnited States of AmericaUnited StatesTown of PlattsburghPlattsburghTown of Schuyler FallsSchuyler FallsTown of BeekmantownBeekmantownPlattsburgh Metro AreaPlattsburghClinton CountyClintonTown of SaranacSaranacTown of ChazyTown of ChamplainChamplainTown of Black BrookBlack BrkTown of Au SableAu SableTown of EllenburgEllenburgTown of ClintonClintonTown of MooersMooersTown of AltonaAltonaTown of DannemoraDannemora34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M32.086369%32.086369%32.1%3,611130.544273%30.544273%30.5%1,504230.315023%30.315023%30.3%64,767,78764.8M25.830346%25.830346%25.8%2,162324.022346%24.022346%24.0%860423.530883%23.530883%23.5%941522.241339%22.241339%22.2%12,28112.3k22.241339%22.241339%22.2%12,28112.3k22.091255%22.091255%22.1%581621.304650%21.304650%21.3%614715.818092%15.818092%15.8%640814.926740%14.926740%14.9%163913.962264%13.962264%14.0%2961012.695925%12.695925%12.7%1621112.231760%12.231760%12.2%571210.965251%10.965251%11.0%284139.919840%9.919840%9.9%198145.210421%5.210421%5.2%20815
Count number of people in category
# rank of county subdivision out of 15 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 Clinton County, selected county subdivisions in Clinton County, and entities that contain Clinton County
0%1%2%3%4%Count#PlattsburghTown of PeruNew YorkNortheastMiddle AtlanticUnited States of AmericaUnited StatesTown of PlattsburghPlattsburghTown of BeekmantownBeekmantownPlattsburgh Metro AreaPlattsburghClinton CountyClintonTown of Schuyler FallsSchuyler FallsTown of ClintonClintonTown of ChazyTown of Au SableAu SableTown of SaranacSaranacTown of MooersMooersTown of DannemoraDannemoraTown of ChamplainChamplainTown of AltonaAltonaTown of EllenburgEllenburgTown of Black BrookBlack Brk4.620579%4.620579%4.6%52014.447604%4.447604%4.4%21924.230387%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%7,127,6737.13M2.998805%2.998805%3.0%25132.875719%2.875719%2.9%11542.463010%2.463010%2.5%1,3602.463010%2.463010%2.5%1,3602.206704%2.206704%2.2%7952.145923%2.145923%2.1%1061.457321%1.457321%1.5%4271.367925%1.367925%1.4%2981.254753%1.254753%1.3%3390.617761%0.617761%0.6%16100.526052%0.526052%0.5%21110.370737%0.370737%0.4%15120.350701%0.350701%0.4%7130.235110%0.235110%0.2%3140.000000%0.000000%0.0%015
Count number of people in category
# rank of county subdivision out of 15 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 Clinton County, selected county subdivisions in Clinton County, and entities that contain Clinton County
Female
Male
1x0x1x2xFM#DannemoraClintonTown of PeruAltonaSchuyler FallsPlattsburghClintonPlattsburghEllenburgSaranacMooersPlattsburghTown of ChazyUnited StatesNortheastMiddle AtlanticNew YorkChamplainAu SableBeekmantownBlack Brk-1.000000x-1.000000x2.235071x2.235071x2.24x11.933%11.9%26.671%26.7%1-1.000000x-1.000000x2.032762x2.032762x2.03x14.679%14.7%29.839%29.8%2-1.000000x-1.000000x1.681516x1.681516x1.68x9.693%9.69%16.299%16.3%3-1.000000x-1.000000x1.406352x1.406352x1.41x15.209%15.2%21.389%21.4%4-1.000000x-1.000000x1.346769x1.346769x1.35x9.137%9.14%12.305%12.3%5-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%-1.000000x-1.000000x1.298634x1.298634x1.30x11.109%11.1%14.426%14.4%6-1.000000x-1.000000x1.254545x1.254545x1.25x16.492%16.5%20.690%20.7%7-1.000000x-1.000000x1.224061x1.224061x1.22x7.837%7.84%9.593%9.59%8-1.000000x-1.000000x1.224013x1.224013x1.22x11.119%11.1%13.610%13.6%9-1.000000x-1.000000x1.213460x1.213460x1.21x10.746%10.7%13.040%13.0%10-1.000000x-1.000000x1.155231x1.155231x1.16x12.019%12.0%13.885%13.9%11-1.000000x-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%-1.056825x-1.056825x1.06x1.000000x1.000000x16.360%16.4%15.481%15.5%12-1.166263x-1.166263x1.17x1.000000x1.000000x16.475%16.5%14.126%14.1%13-1.382966x-1.382966x1.38x1.000000x1.000000x10.531%10.5%7.615%7.62%14-1.977295x-1.977295x1.98x1.000000x1.000000x17.668%17.7%8.935%8.94%15
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 15 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 Clinton County, selected county subdivisions in Clinton County, and entities that contain Clinton County
Female
Male
10x5x0x5x10xFM#ChamplainEllenburgSchuyler FallsBeekmantownPlattsburghAu SablePlattsburghClintonPlattsburghUnited StatesMiddle AtlanticNortheastTown of PeruNew YorkClintonSaranacAltonaTown of ChazyDannemoraMooers-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.779%0.78%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.493%0.49%2-1.000000x-1.000000x4.238159x4.238159x4.24x0.841%0.84%3.563%3.56%3-1.000000x-1.000000x4.226776x4.226776x4.23x1.139%1.14%4.812%4.81%4-1.000000x-1.000000x3.078148x3.078148x3.08x1.490%1.49%4.588%4.59%5-1.000000x-1.000000x2.156134x2.156134x2.16x0.862%0.86%1.859%1.86%6-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%-1.000000x-1.000000x1.531499x1.531499x1.53x3.689%3.69%5.650%5.65%7-1.000000x-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-1.000000x1.477381x1.477381x1.48x3.595%3.59%5.310%5.31%8-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.318548x1.318548x1.32x1.835%1.83%2.419%2.42%9-1.000000x-1.000000x1.082070x1.082070x1.08x1.206%1.21%1.305%1.30%10-1.264805x-1.264805x1.26x1.000000x1.000000x0.404%0.40%0.319%0.32%11-4.162431x-4.162431x4.16x1.000000x1.000000x2.335%2.34%0.561%0.56%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.857%2.86%0.118%0.12%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.155%1.16%0.000%0%14
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 14 by male-to-female sex ratio

Educational Attainment by County in New York

There are 62 counties in New York. This section compares Clinton County to the 50 most populous counties in New York and to those entities that contain or substantially overlap with Clinton 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 Clinton County, selected other counties in New York, and entities that contain Clinton County
0%5%10%15%20%25%Count#Bronx CountyBronxKings CountyKingsQueens CountyQueensMontgomery CountyMontgomeryFranklin CountyFranklinNew YorkSullivan CountySullivanPlattsburgh Metro AreaPlattsburghClinton 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 CountySuffolkUlster 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%7,52213.622616%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%102,414102k269.915901%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 Clinton County, selected other counties in New York, and entities that contain Clinton 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 CountySteubenPlattsburgh Metro AreaPlattsburghClinton CountyClintonCayuga CountyCayugaHerkimer CountyHerkimerGenesee CountyGeneseeWayne CountyWayneChautauqua CountyChautauquaJefferson 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%12,28112.3k22.241339%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%18,80618.8k4120.753949%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 Clinton County, selected other counties in New York, and entities that contain Clinton 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 CountyOrangePlattsburgh Metro AreaPlattsburghClinton 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%6,115282.463010%2.463010%2.5%1,3602.463010%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 Clinton County, selected other counties in New York, and entities that contain Clinton County
Female
Male
1x0x1xFM#FranklinCayugaWashingtonWarrenColumbiaFultonPutnamOntarioTiogaOtsegoCortlandChemungSullivanChenangoChautauquaPlattsburghClintonTompkinsJeffersonOswegoSt. LawrenceWayneSteubenRensselaerMontgomeryUlsterSchenectadyCattaraugusMadisonSaratogaGeneseeOneidaLivingstonDutchessWestchesterSuffolkNiagaraUnited 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%-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-1.000000x1.243622x1.243622x1.24x8.756%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 Clinton County, selected other counties in New York, and entities that contain Clinton County
Female
Male
1x0x1x2xFM#NiagaraWarrenChemungChautauquaSteubenOneidaCattaraugusBroomeFranklinSaratogaFultonSt. LawrenceChenangoErieSchenectadyDutchessOtsegoSuffolkMadisonWestchesterAlbanyNassauHerkimerMonroePlattsburghClintonRocklandSullivanOnondagaTompkinsUnited StatesOswegoColumbiaMiddle AtlanticNortheastPutnamCayugaNew YorkRensselaerLivingstonWayneQueensOntarioKingsGeneseeCortlandNew YorkRichmondUlsterBronxOrangeTiogaWashingtonJeffersonMontgomery-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%-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-1.000000x1.095052x1.095052x1.10x1.577%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 Clinton County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Clinton 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 Clinton County, selected other counties in the United States, and entities that contain Clinton 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 YorkPlattsburgh Metro AreaPlattsburghClinton CountyClintonSan 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 CountySuffolkFranklin 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%1,900,8921.90M13.622616%13.622616%13.6%7,52213.622616%13.622616%13.6%7,52213.598133%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%102,414102k379.640656%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 Clinton County, selected other counties in the United States, and entities that contain Clinton 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 CountyWaynePlattsburgh Metro AreaPlattsburghClinton CountyClintonRiverside CountyRiversideFresno 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%260,985261k4622.241339%22.241339%22.2%12,28112.3k22.241339%22.241339%22.2%12,28112.3k21.189043%21.189043%21.2%311,245311k4719.731980%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 Clinton County, selected other counties in the United States, and entities that contain Clinton 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 CountyQueensPlattsburgh Metro AreaPlattsburghClinton CountyClintonFresno 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%44,96545.0k432.463010%2.463010%2.5%1,3602.463010%2.463010%2.5%1,3602.392530%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 Clinton County, selected other counties in the United States, and entities that contain Clinton County
Female
Male
1x0x1xFM#PlattsburghClintonMecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookNortheastMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeMiddle AtlanticFranklinSacramentoMontgomeryNew YorkBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%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 Clinton County, selected other counties in the United States, and entities that contain Clinton County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyNassauBrowardClarkFranklinMecklenburgPlattsburghClintonFairfaxWayneUnited StatesSanta ClaraFultonMiddle AtlanticContra CostaMilwaukeeSan DiegoNortheastOrangeFresnoHillsboroughHarrisNew YorkMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-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-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%-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
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.

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Demographics

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More Maps to Explore

Principal City:
Plattsburgh
Cities:
Plattsburgh
Towns:
Altona, Au Sable, Beekmantown, Black Brook, Champlain, Chazy, Clinton, Dannemora, Ellenburg, Mooers, Peru, Plattsburgh, Saranac, Schuyler Falls
Unincorporated Places:
Altona, Au Sable Forks, Chazy, Cumberland Head, Lyon Mountain, Mooers, Morrisonville, Parc, Peru, Plattsburgh West, Redford, West Chazy
Villages:
Champlain, Dannemora, Keeseville, Rouses Point
ZIP Codes:
12901, 12903, 12910, 12911, 12912, 12918, 12919, 12920, 12921, 12923, 12924, 12929, 12933, 12934, 12935, 12944, 12952, 12955, 12958, 12959, 12962, 12972, 12978, 12979, 12981, 12985, 12992
Unified School Districts:
AuSable Valley, Beekmantown, Chateaugay, Chazy, Northeastern Clinton, Northern Adirondack, Peru, Plattsburgh, Saranac, Saranac Lake
Congressional District:
NY-21
State Senate District:
NY-45
Assembly District:
NY-115
Neighboring Counties:
Chittenden, Essex, Franklin, Grand Isle
Nearby Counties:
Addison, Franklin