Educational Attainment in Ulster County, New York (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of New York and Ulster County
Ulster County
New York
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma241.133977%43.362833%41.133977%41.1%53,06953.1k48.950122%42.560743%48.950122%49.0%63,15363.2k9.915901%14.076424%9.915901%9.9%12,79312.8k
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 Ulster County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-5.140016%-5.140016%-5.1%41.134%41.1%43.363%43.4%15.012378%15.012378%+15.0%48.950%49.0%42.561%42.6%-29.556675%-29.556675%-29.6%9.916%9.92%14.076%14.1%
% percentage with given level in Ulster 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 Ulster County
Ulster County
New York
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.500601%1.473954%1.500601%1.5%1,9361.718405%2.756433%1.718405%1.7%2,21710.833624%10.855739%10.833624%10.8%13,97714.0k16.918188%19.654818%16.918188%16.9%21,82721.8k10.163159%8.621889%10.163159%10.2%13,11213.1k18.410262%16.128337%18.410262%18.4%23,75223.8k30.539860%26.432406%30.539860%30.5%39,40139.4k6.770531%7.544155%6.770531%6.8%8,7352.249351%4.633976%2.249351%2.2%2,9020.896020%1.898293%0.896020%0.9%1,156
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 Ulster County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.807824%1.807824%+1.8%1.501%1.50%1.474%1.47%-37.658385%-37.658385%-37.7%1.718%1.72%2.756%2.76%-0.203717%-0.203717%-0.2%10.834%10.8%10.856%10.9%-13.923459%-13.923459%-13.9%16.918%16.9%19.655%19.7%17.876253%17.876253%+17.9%10.163%10.2%8.622%8.62%14.148548%14.148548%+14.1%18.410%18.4%16.128%16.1%15.539464%15.539464%+15.5%30.540%30.5%26.432%26.4%-10.254624%-10.254624%-10.3%6.771%6.77%7.544%7.54%-51.459595%-51.459595%-51.5%2.249%2.25%4.634%4.63%-52.798643%-52.798643%-52.8%0.896%0.90%1.898%1.90%
% percentage with given level in Ulster 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 Ulster County
More Females More Males
New York
Ulster County
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-17.272213%-7.071483%-17.272213%17%44.353%44.4%37.820%37.8%9.118446%5.599805%9.118446%9%46.845%46.8%51.117%51.1%25.686468%4.608047%25.686468%26%8.802%8.80%11.063%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 Ulster County
More Females More Males
New York
Ulster County
40%20%0%20%40%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None16.782691%44.135478%16.782691%17%1.386%1.39%1.619%1.62%26.420794%40.202453%26.420794%26%1.520%1.52%1.922%1.92%-59.336574%-35.501157%-59.336574%59%13.268%13.3%8.327%8.33%-4.013053%-4.013053%4%2.270902%17.246%17.2%16.581%16.6%-16.648202%-20.836943%-16.648202%17%10.932%10.9%9.372%9.37%-6.169252%-6.169252%6%6.906283%18.953%19.0%17.852%17.9%19.262920%4.810298%19.262920%19%27.892%27.9%33.265%33.3%46.897214%10.700533%46.897214%47%5.500%5.50%8.079%8.08%-0.222558%3.078717%3.078717%3%2.216%2.22%2.284%2.28%-55.216970%-6.719664%-55.216970%55%1.086%1.09%0.700%0.70%
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 Ulster County
Ulster County
New York
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3413.739435%12.423176%13.739435%13.7%4,30831,35531.4k17.290187%17.896303%17.290187%17.3%9,51655,03755.0k18.966961%21.971563%18.966961%19.0%4,07621,49021.5k18.582312%28.276328%18.582312%18.6%3,92721,13321.1k
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 Ulster County
30%20%10%0%10%%ref.65+45-6435-4425-3410.595191%10.595191%10.6%13.739%13.7%12.423%12.4%-3.386826%-3.386826%3.4%17.290%17.3%17.896%17.9%-13.674956%-13.674956%13.7%18.967%19.0%21.972%22.0%-34.283149%-34.283149%34.3%18.582%18.6%28.276%28.3%
% percentage in Ulster 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 Ulster County
More Females More Males
New York
Ulster County
20%10%0%10%20%30%FM65+45-6435-4425-3424.802318%33.023651%24.802318%24.8%12.374%12.4%15.442%15.4%-2.870398%-2.870398%2.9%1.970870%17.535%17.5%17.045%17.0%-29.524612%-6.438767%-29.524612%29.5%21.480%21.5%16.584%16.6%-21.522569%-12.233214%-21.522569%21.5%20.486%20.5%16.858%16.9%
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 Ulster County
Ulster County
New York
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$64,314.000000$72,399.000000$64,314.000000$64.3k18,13018.1k14.053%14.1%$47,079.000000$55,375.000000$47,079.000000$47.1k21,82721.8k16.918%16.9%$35,132.000000$36,986.000000$35,132.000000$35.1k36,86436.9k28.573%28.6%$30,972.000000$30,365.000000$30,972.000000$31.0k39,40139.4k30.540%30.5%$23,065.000000$20,519.000000$23,065.000000$23.1k12,79312.8k9.916%9.92%$37,370.000000$41,004.000000$37,370.000000$37.4k129,015129k100.000%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 Ulster County
Female Male
New York
Ulster County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-59,783.000000$-63,343.000000$-59,783.000000$59.8k$59,783.000000$15,767.000000$63,343.000000$23,803.000000$75,550.000000$75.6k10,58510.6k7,545$-40,508.000000$-49,056.000000$-40,508.000000$40.5k$40,508.000000$15,370.000000$49,056.000000$15,512.000000$55,878.000000$55.9k11,28611.3k10,54110.5k$-30,809.000000$-31,735.000000$-30,809.000000$30.8k$30,809.000000$13,450.000000$31,735.000000$11,868.000000$44,259.000000$44.3k19,55719.6k17,30717.3k$-26,045.000000$-24,345.000000$-26,045.000000$26.0k$26,045.000000$10,081.000000$24,345.000000$11,127.000000$36,126.000000$36.1k18,25318.3k21,14821.1k$-17,034.000000$-16,152.000000$-17,034.000000$17.0k$17,034.000000$10,696.000000$16,152.000000$7,310.000000$27,730.000000$27.7k5,7607,033$-32,662.000000$-35,927.000000$-32,662.000000$32.7k$32,662.000000$10,518.000000$35,927.000000$10,547.000000$43,180.000000$43.2k65,44165.4k63,57463.6k
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 Ulster County
Ulster County
New York
0%10%20%30%40%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma325.233645%35.024821%25.233645%25.2%2746.728972%49.578441%46.728972%46.7%5028.037383%15.176109%28.037383%28.0%300.000000%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 Ulster County
Ulster County
New York
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.045267%83.757888%81.045267%81.0%25,13725.1k72.817821%74.250177%72.817821%72.8%21,64021.6k62.594300%66.710729%62.594300%62.6%17,92217.9k49.831203%53.477224%49.831203%49.8%4,133
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 Ulster County
Female Male
New York
Ulster County
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-7.215889%-7.010475%-7.215889%7.2%7.215889%1.650851%7.010475%0.656174%8.866740%8.9%4,6174,051-13.847709%-16.701438%-13.847709%13.8%13.847709%7.566249%16.701438%1.459915%21.413958%21.4%942411-11.990687%-4.060678%-20.301815%-2.571975%-16.051364%16.1%11.990687%20.301815%11.990687%12.0%103200-23.516111%-0.590831%-31.379019%-24.106942%24.1%23.516111%31.379019%1.968087%23.516111%23.5%1,2481,073-20.496278%-31.931206%-20.496278%20.5%20.496278%3.077729%31.931206%2.116169%23.574007%23.6%653413
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 Ulster County
Female Male
New York
Ulster County
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-31.483935%-3.042249%-40.543483%-0.368528%-34.526185%34.5%31.483935%40.543483%31.483935%31.5%16,39416.4k19,38319.4k-7.592635%-9.017877%-19.678068%-5.271968%-16.610512%16.6%7.592635%19.678068%7.592635%7.6%334493-58.323632%-1.949241%-45.028356%-60.272873%60.3%58.323632%45.028356%1.700641%58.323632%58.3%501751-11.814585%-11.506018%-15.579824%-4.078609%-23.320602%23.3%11.814585%15.579824%11.814585%11.8%6271,038-16.787004%-3.907785%-15.106332%-4.239492%-20.694789%20.7%16.787004%15.106332%16.787004%16.8%465417
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 Ulster 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
28%36%44%52%60%69%

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
26%33%39%45%52%58%

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
3.0%5.6%8.3%10.9%13.6%16.3%

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%0.9%1.8%2.8%3.7%4.7%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%1.3%2.3%3.2%4.1%5.0%

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
6.1%9.7%13.3%16.8%20.3%23.9%

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
11.5%14.8%18.0%21.1%24.3%27.5%

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
7.3%8.4%9.4%10.4%11.5%12.6%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
11.6%13.6%15.6%17.6%19.5%21.6%

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
14.1%19.1%24.1%29.0%34.0%39.0%

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
1.9%3.7%5.3%7.0%8.7%10.5%

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
0.0%1.0%2.0%3.0%4.1%5.1%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.35%0.70%1.04%1.39%1.74%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Ulster 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
20%32%44%56%68%81%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
15%24%34%43%52%62%

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
2.4%6.7%11.1%15.4%19.7%24.1%

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%1.6%3.3%4.9%6.5%8.2%

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%1.3%2.5%3.8%5.1%6.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%7.7%12.7%17.6%22.5%27.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6%12%17%22%27%33%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.7%7.0%9.1%11.3%13.5%15.7%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
7.8%12.0%16.0%20.1%24.2%28.3%

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
7%14%21%28%35%42%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
1.1%3.4%5.8%8.1%10.4%12.8%

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%2.4%4.8%7.2%9.5%12.0%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.2%1.9%2.5%3.2%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Ulster County

There are 37 places in Ulster County. This section compares all 37 of those to each other, Ulster County, and other entities that contain or substantially overlap with Ulster 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 Ulster County, selected places in Ulster County, and entities that contain Ulster County
0%5%10%15%20%Count#KerhonksonPlattekillGlascoEllenvilleShokanKingstonAccordLincoln ParkTillsonNew YorkLake KatrineUnited States of AmericaUnited StatesSaugertiesMiddle AtlanticHillsideNortheastGardinerPort EwenMalden-on-HudsonKingston Metro AreaKingston AreaUlster CountyUlsterRosendale HamletClintondaleHighlandPine HillCragsmoorMarlboroMiltonSaugerties SouthSaugerties SWallkillStone RidgeHigh FallsEast KingstonWest HurleyNew PaltzHurleyWoodstockNapanochZenaWatchtowerWalker ValleyRiftonPhoenicia24.285714%24.285714%24.3%340123.143564%23.143564%23.1%187220.147142%20.147142%20.1%356319.457203%19.457203%19.5%466416.334165%16.334165%16.3%131516.163197%16.163197%16.2%2,686615.317919%15.317919%15.3%53715.159077%15.159077%15.2%243814.121259%14.121259%14.1%184914.076424%14.076424%14.1%1,900,8921.90M13.113113%13.113113%13.1%2621013.020590%13.020590%13.0%27,818,38027.8M12.686282%12.686282%12.7%3321112.313400%12.313400%12.3%3,505,1913.51M11.692308%11.692308%11.7%761211.614335%11.614335%11.6%4,487,0854.49M11.576846%11.576846%11.6%581310.932836%10.932836%10.9%2931410.638298%10.638298%10.6%25159.915901%9.915901%9.9%12,79312.8k9.915901%9.915901%9.9%12,79312.8k9.702970%9.702970%9.7%98169.686610%9.686610%9.7%102179.549689%9.549689%9.5%369189.302326%9.302326%9.3%16199.002433%9.002433%9.0%37208.086367%8.086367%8.1%191217.699711%7.699711%7.7%80227.052562%7.052562%7.1%106236.587943%6.587943%6.6%106246.566347%6.566347%6.6%48256.119611%6.119611%6.1%44265.970149%5.970149%6.0%20275.769231%5.769231%5.8%90285.535055%5.535055%5.5%120294.301516%4.301516%4.3%105303.717706%3.717706%3.7%59313.048780%3.048780%3.0%25321.658031%1.658031%1.7%16330.862069%0.862069%0.9%16340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%037
Count number of people in category
# rank of place out of 37 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 Ulster County, selected places in Ulster County, and entities that contain Ulster County
0%20%40%60%Count#New PaltzZenaCragsmoorWoodstockHillsideStone RidgeHurleyWest HurleyTillsonRiftonWalker ValleyWallkillNortheastNew YorkMiddle AtlanticPhoeniciaShokanMarlboroHighlandGardinerKingston Metro AreaKingston AreaUlster CountyUlsterUnited States of AmericaUnited StatesPine HillMiltonPlattekillClintondaleSaugertiesKingstonHigh FallsRosendale HamletSaugerties SouthSaugerties SLake KatrinePort EwenNapanochLincoln ParkEllenvilleKerhonksonGlascoWatchtowerAccordMalden-on-HudsonEast Kingston67.250923%67.250923%67.3%1,458155.336788%55.336788%55.3%534255.231144%55.231144%55.2%227351.480781%51.480781%51.5%817450.923077%50.923077%50.9%331547.469220%47.469220%47.5%347646.374437%46.374437%46.4%1,132743.269231%43.269231%43.3%675840.368381%40.368381%40.4%526938.157895%38.157895%38.2%1741036.893204%36.893204%36.9%1521135.052828%35.052828%35.1%5641234.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M33.466135%33.466135%33.5%841333.167082%33.167082%33.2%2661432.895851%32.895851%32.9%7771531.625259%31.625259%31.6%1,2221631.137725%31.137725%31.1%1561730.970817%30.970817%31.0%39,95740.0k30.970817%30.970817%31.0%39,95740.0k30.315023%30.315023%30.3%64,767,78764.8M29.069767%29.069767%29.1%501828.296439%28.296439%28.3%2941928.217822%28.217822%28.2%2282027.540361%27.540361%27.5%2902125.601834%25.601834%25.6%6702224.004092%24.004092%24.0%3,9892323.504868%23.504868%23.5%1692422.475248%22.475248%22.5%2272522.421823%22.421823%22.4%3372621.971972%21.971972%22.0%4392721.194030%21.194030%21.2%5682820.121951%20.121951%20.1%1652918.652527%18.652527%18.7%2993018.413361%18.413361%18.4%4413118.142857%18.142857%18.1%2543217.657046%17.657046%17.7%3123312.068966%12.068966%12.1%224348.959538%8.959538%9.0%31355.531915%5.531915%5.5%13362.985075%2.985075%3.0%1037
Count number of people in category
# rank of place out of 37 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 Ulster County, selected places in Ulster County, and entities that contain Ulster County
0%5%10%15%20%Count#PhoeniciaPine HillHillsideStone RidgeWoodstockRiftonNew PaltzZenaHurleyCragsmoorNew YorkNortheastMiddle AtlanticUnited States of AmericaUnited StatesKingston Metro AreaKingston AreaUlster CountyUlsterKingstonSaugertiesWest HurleyGardinerMarlboroHighlandPort EwenRosendale HamletMiltonLincoln ParkNapanochClintondaleSaugerties SouthSaugerties SShokanEllenvilleTillsonLake KatrineGlascoKerhonksonWatchtowerWallkillPlattekillHigh FallsWalker ValleyAccordEast KingstonMalden-on-Hudson20.318725%20.318725%20.3%51114.534884%14.534884%14.5%25212.769231%12.769231%12.8%8339.712722%9.712722%9.7%7149.136736%9.136736%9.1%14557.236842%7.236842%7.2%3367.149446%7.149446%7.1%15576.632124%6.632124%6.6%6485.694388%5.694388%5.7%13995.109489%5.109489%5.1%21104.230387%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%7,127,6737.13M3.219006%3.219006%3.2%4,1533.219006%3.219006%3.2%4,1533.207366%3.207366%3.2%533113.056935%3.056935%3.1%80122.820513%2.820513%2.8%44132.794411%2.794411%2.8%14142.455546%2.455546%2.5%58152.173913%2.173913%2.2%84161.902985%1.902985%1.9%51171.881188%1.881188%1.9%19181.828681%1.828681%1.8%19191.372427%1.372427%1.4%22201.341463%1.341463%1.3%11211.139601%1.139601%1.1%12221.131071%1.131071%1.1%17231.122195%1.122195%1.1%9241.043841%1.043841%1.0%25250.997698%0.997698%1.0%13260.950951%0.950951%1.0%19270.679117%0.679117%0.7%12280.428571%0.428571%0.4%6290.377155%0.377155%0.4%7300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%037
Count number of people in category
# rank of place out of 37 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 Ulster County, selected places in Ulster County, and entities that contain Ulster County
Female
Male
0x5x10xFM#WatchtowerZenaEast KingstonPine HillRosendale HamletGardinerKerhonksonHigh FallsCragsmoorWest HurleyHurleyShokanAccordWallkillEllenvilleMarlboroKingston AreaUlsterClintondaleKingstonUnited StatesNortheastPort EwenMiddle AtlanticNew YorkHighlandNapanochMiltonTillsonSaugerties SPlattekillSaugertiesWoodstockHillsideNew PaltzGlascoLincoln ParkLake KatrineStone RidgeMalden-on-Hudson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.804%1.80%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.137%3.14%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.302%9.30%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%21.333%21.3%4-1.000000x-1.000000x8.035384x8.035384x8.04x2.161%2.16%17.365%17.4%5-1.000000x-1.000000x2.811995x2.811995x2.81x5.660%5.66%15.917%15.9%6-1.000000x-1.000000x2.778077x2.778077x2.78x12.719%12.7%35.335%35.3%7-1.000000x-1.000000x2.562439x2.562439x2.56x3.236%3.24%8.293%8.29%8-1.000000x-1.000000x2.531508x2.531508x2.53x4.734%4.73%11.983%12.0%9-1.000000x-1.000000x2.308167x2.308167x2.31x3.626%3.63%8.369%8.37%10-1.000000x-1.000000x2.137580x2.137580x2.14x2.732%2.73%5.839%5.84%11-1.000000x-1.000000x1.859272x1.859272x1.86x11.724%11.7%21.798%21.8%12-1.000000x-1.000000x1.375066x1.375066x1.38x13.426%13.4%18.462%18.5%13-1.000000x-1.000000x1.355356x1.355356x1.36x5.708%5.71%7.736%7.74%14-1.000000x-1.000000x1.285848x1.285848x1.29x16.942%16.9%21.785%21.8%15-1.000000x-1.000000x1.265328x1.265328x1.27x7.172%7.17%9.075%9.07%16-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.195196x1.195196x1.20x8.958%8.96%10.706%10.7%17-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%18-1.000000x-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-1.000000x1.066377x1.066377x1.07x10.601%10.6%11.304%11.3%19-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.007393x1.007393x1.01x9.519%9.52%9.590%9.59%20-1.026722x-1.026722x1.03x1.000000x1.000000x3.088%3.09%3.008%3.01%21-1.107774x-1.107774x1.11x1.000000x1.000000x8.125%8.13%7.335%7.33%22-1.314154x-1.314154x1.31x1.000000x1.000000x16.291%16.3%12.397%12.4%23-1.373842x-1.373842x1.37x1.000000x1.000000x8.197%8.20%5.966%5.97%24-1.513689x-1.513689x1.51x1.000000x1.000000x27.212%27.2%17.978%18.0%25-1.520645x-1.520645x1.52x1.000000x1.000000x15.014%15.0%9.873%9.87%26-1.582705x-1.582705x1.58x1.000000x1.000000x4.452%4.45%2.813%2.81%27-1.671336x-1.671336x1.67x1.000000x1.000000x14.688%14.7%8.788%8.79%28-1.833608x-1.833608x1.83x1.000000x1.000000x6.919%6.92%3.774%3.77%29-2.079208x-2.079208x2.08x1.000000x1.000000x26.316%26.3%12.657%12.7%30-2.088842x-2.088842x2.09x1.000000x1.000000x19.167%19.2%9.176%9.18%31-2.213882x-2.213882x2.21x1.000000x1.000000x17.244%17.2%7.789%7.79%32-3.587766x-3.587766x3.59x1.000000x1.000000x10.106%10.1%2.817%2.82%33-4.004386x-4.004386x4.00x1.000000x1.000000x14.474%14.5%3.614%3.61%34
F percentage of females in category
M percentage of males in category
# rank of place out of 34 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 Ulster County, selected places in Ulster County, and entities that contain Ulster County
Female
Male
10x5x0x5x10xFM#HurleyLake KatrineSaugerties STillsonClintondaleShokanNapanochMarlboroHillsideWest HurleyWoodstockPort EwenNew PaltzHighlandUnited StatesMiddle AtlanticLincoln ParkNortheastNew YorkZenaKingston AreaUlsterStone RidgeKingstonSaugertiesPhoeniciaEllenvilleRosendale HamletMiltonGlascoWatchtowerKerhonksonGardinerRiftonCragsmoorPine Hill-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.273%11.3%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.176%2.18%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.205%2.20%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.791%1.79%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.733%2.73%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.452%2.45%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.757%2.76%7-1.000000x-1.000000x3.742121x3.742121x3.74x1.059%1.06%3.965%3.96%8-1.000000x-1.000000x3.501684x3.501684x3.50x5.625%5.63%19.697%19.7%9-1.000000x-1.000000x3.234043x3.234043x3.23x1.404%1.40%4.539%4.54%10-1.000000x-1.000000x3.021499x3.021499x3.02x4.795%4.79%14.487%14.5%11-1.000000x-1.000000x2.446887x2.446887x2.45x1.131%1.13%2.767%2.77%12-1.000000x-1.000000x1.908805x1.908805x1.91x5.107%5.11%9.748%9.75%13-1.000000x-1.000000x1.535214x1.535214x1.54x1.768%1.77%2.714%2.71%14-1.000000x-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-1.000000x1.493002x1.493002x1.49x1.146%1.15%1.711%1.71%15-1.000000x-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-1.000000x1.303922x1.303922x1.30x5.714%5.71%7.451%7.45%16-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-1.000000x-1.000000x1.152610x1.152610x1.15x9.043%9.04%10.423%10.4%17-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%18-1.379190x-1.379190x1.38x1.000000x1.000000x3.492%3.49%2.532%2.53%19-2.791293x-2.791293x2.79x1.000000x1.000000x28.169%28.2%10.092%10.1%20-3.422531x-3.422531x3.42x1.000000x1.000000x1.651%1.65%0.482%0.48%21-3.691061x-3.691061x3.69x1.000000x1.000000x2.947%2.95%0.798%0.80%22-4.367188x-4.367188x4.37x1.000000x1.000000x3.125%3.13%0.716%0.72%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.238%1.24%0.000%0%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.722%0.72%0.000%0%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.604%6.60%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x15.714%15.7%0.000%0%28-10.000000x-10.000000x> 10.0x1.000000x1.000000x12.426%12.4%0.000%0%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x25.773%25.8%0.000%0%30
F percentage of females in category
M percentage of males in category
# rank of place out of 30 by male-to-female sex ratio

Educational Attainment by County Subdivision in Ulster County

There are 21 county subdivisions in Ulster County. This section compares all 21 of those to each other, Ulster County, and other entities that contain or substantially overlap with Ulster 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 Ulster County, selected county subdivisions in Ulster County, and entities that contain Ulster County
0%5%10%15%Count#Town of WawarsingWawarsingKingstonNew YorkUnited States of AmericaUnited StatesTown of UlsterUlsterTown of PlattekillPlattekillMiddle AtlanticTown of RochesterRochesterNortheastTown of DenningDenningTown of OliveTown of HardenburghHardenburghKingston Metro AreaKingston AreaUlster CountyUlsterTown of SaugertiesSaugertiesTown of LloydTown of KingstonKingstonTown of ShandakenShandakenTown of EsopusEsopusTown of RosendaleRosendaleTown of MarlboroughMarlboroughTown of ShawangunkShawangunkTown of New PaltzNew PaltzTown of HurleyHurleyTown of MarbletownMarbletownTown of GardinerGardinerTown of WoodstockWoodstock16.204348%16.204348%16.2%1,513116.163197%16.163197%16.2%2,686214.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.686726%12.686726%12.7%1,189312.644564%12.644564%12.6%984412.313400%12.313400%12.3%3,505,1913.51M12.281039%12.281039%12.3%638511.614335%11.614335%11.6%4,487,0854.49M11.298077%11.298077%11.3%47610.853181%10.853181%10.9%360710.000000%10.000000%10.0%1689.915901%9.915901%9.9%12,79312.8k9.915901%9.915901%9.9%12,79312.8k9.670346%9.670346%9.7%1,32398.812567%8.812567%8.8%662108.633094%8.633094%8.6%60118.474576%8.474576%8.5%205128.397298%8.397298%8.4%547138.273616%8.273616%8.3%381147.481420%7.481420%7.5%453156.385805%6.385805%6.4%673164.918494%4.918494%4.9%350174.772918%4.772918%4.8%227184.436776%4.436776%4.4%180193.827751%3.827751%3.8%152203.001225%3.001225%3.0%14721
Count number of people in category
# rank of county subdivision out of 21 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 Ulster County, selected county subdivisions in Ulster County, and entities that contain Ulster County
0%10%20%30%40%50%Count#Town of New PaltzNew PaltzTown of WoodstockWoodstockTown of MarbletownMarbletownTown of HurleyHurleyTown of GardinerGardinerTown of HardenburghHardenburghTown of OliveTown of RosendaleRosendaleNortheastNew YorkTown of DenningDenningMiddle AtlanticTown of ShandakenShandakenTown of LloydTown of MarlboroughMarlboroughKingston Metro AreaKingston AreaUlster CountyUlsterUnited States of AmericaUnited StatesTown of RochesterRochesterTown of EsopusEsopusTown of KingstonKingstonTown of SaugertiesSaugertiesKingstonTown of PlattekillPlattekillTown of ShawangunkShawangunkTown of UlsterUlsterTown of WawarsingWawarsing57.490163%57.490163%57.5%4,091156.390363%56.390363%56.4%2,762247.103771%47.103771%47.1%1,911346.005046%46.005046%46.0%2,188443.842861%43.842861%43.8%1,741540.625000%40.625000%40.6%65639.131746%39.131746%39.1%1,298734.875136%34.875136%34.9%1,606834.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.134615%34.134615%34.1%142933.644618%33.644618%33.6%9,577,4379.58M32.658123%32.658123%32.7%7901032.241747%32.241747%32.2%2,4221131.197358%31.197358%31.2%1,8891230.970817%30.970817%31.0%39,95740.0k30.970817%30.970817%31.0%39,95740.0k30.315023%30.315023%30.3%64,767,78764.8M28.565929%28.565929%28.6%1,4841326.957323%26.957323%27.0%1,7561425.755396%25.755396%25.8%1791524.413420%24.413420%24.4%3,3401624.004092%24.004092%24.0%3,9891723.939861%23.939861%23.9%1,8631823.835278%23.835278%23.8%2,5121922.823303%22.823303%22.8%2,1392019.171040%19.171040%19.2%1,79021
Count number of people in category
# rank of county subdivision out of 21 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 Ulster County, selected county subdivisions in Ulster County, and entities that contain Ulster County
0%2%4%6%8%Count#Town of WoodstockWoodstockTown of MarbletownMarbletownTown of New PaltzNew PaltzTown of ShandakenShandakenTown of HurleyHurleyTown of GardinerGardinerTown of HardenburghHardenburghTown of DenningDenningTown of OliveNew YorkNortheastTown of KingstonKingstonMiddle AtlanticUnited States of AmericaUnited StatesKingston Metro AreaKingston AreaUlster CountyUlsterKingstonTown of SaugertiesSaugertiesTown of UlsterUlsterTown of RosendaleRosendaleTown of EsopusEsopusTown of MarlboroughMarlboroughTown of LloydTown of RochesterRochesterTown of WawarsingWawarsingTown of ShawangunkShawangunkTown of PlattekillPlattekill9.534504%9.534504%9.5%46716.605866%6.605866%6.6%26826.337830%6.337830%6.3%45136.324928%6.324928%6.3%15345.719092%5.719092%5.7%27255.514984%5.514984%5.5%21965.000000%5.000000%5.0%874.807692%4.807692%4.8%2084.250829%4.250829%4.3%14194.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M3.884892%3.884892%3.9%27103.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M3.219006%3.219006%3.2%4,1533.219006%3.219006%3.2%4,1533.207366%3.207366%3.2%533113.128426%3.128426%3.1%428122.656850%2.656850%2.7%249132.540717%2.540717%2.5%117142.502303%2.502303%2.5%163152.113955%2.113955%2.1%128162.050053%2.050053%2.1%154171.886429%1.886429%1.9%98181.403020%1.403020%1.4%131190.872948%0.872948%0.9%92200.436906%0.436906%0.4%3421
Count number of people in category
# rank of county subdivision out of 21 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 Ulster County, selected county subdivisions in Ulster County, and entities that contain Ulster County
Female
Male
2x1x0x1x2x3xFM#HurleyRochesterGardinerShawangunkWawarsingShandakenMarlboroughTown of LloydRosendaleWoodstockKingston AreaUlsterTown of OlivePlattekillKingstonEsopusKingstonUnited StatesNortheastMiddle AtlanticNew YorkSaugertiesHardenburghUlsterMarbletownNew PaltzDenning-1.000000x-1.000000x3.131575x3.131575x3.13x2.369%2.37%7.417%7.42%1-1.000000x-1.000000x2.101631x2.101631x2.10x7.821%7.82%16.437%16.4%2-1.000000x-1.000000x2.040581x2.040581x2.04x2.428%2.43%4.955%4.95%3-1.000000x-1.000000x1.761932x1.761932x1.76x4.535%4.54%7.991%7.99%4-1.000000x-1.000000x1.627306x1.627306x1.63x11.832%11.8%19.255%19.3%5-1.000000x-1.000000x1.575758x1.575758x1.58x6.707%6.71%10.569%10.6%6-1.000000x-1.000000x1.549645x1.549645x1.55x5.888%5.89%9.124%9.12%7-1.000000x-1.000000x1.463350x1.463350x1.46x7.228%7.23%10.577%10.6%8-1.000000x-1.000000x1.440734x1.440734x1.44x6.679%6.68%9.623%9.62%9-1.000000x-1.000000x1.336131x1.336131x1.34x2.585%2.59%3.454%3.45%10-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.245283x1.245283x1.25x9.677%9.68%12.051%12.1%11-1.000000x-1.000000x1.210038x1.210038x1.21x11.489%11.5%13.902%13.9%12-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%13-1.000000x-1.000000x1.150735x1.150735x1.15x7.836%7.84%9.017%9.02%14-1.000000x-1.000000x1.135443x1.135443x1.14x8.050%8.05%9.140%9.14%15-1.000000x-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%-1.000000x-1.000000x1.028671x1.028671x1.03x9.541%9.54%9.815%9.81%16-1.105263x-1.105263x1.11x1.000000x1.000000x10.526%10.5%9.524%9.52%17-1.234742x-1.234742x1.23x1.000000x1.000000x13.937%13.9%11.287%11.3%18-1.341792x-1.341792x1.34x1.000000x1.000000x5.018%5.02%3.740%3.74%19-1.955297x-1.955297x1.96x1.000000x1.000000x6.261%6.26%3.202%3.20%20-2.268194x-2.268194x2.27x1.000000x1.000000x15.566%15.6%6.863%6.86%21
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 21 by male-to-female sex ratio

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 Ulster County, selected county subdivisions in Ulster County, and entities that contain Ulster County
Female
Male
2x1x0x1x2x3x4xFM#DenningHardenburghMarlboroughHurleyNew PaltzRochesterRosendaleWoodstockUlsterMarbletownUnited StatesMiddle AtlanticNortheastTown of OliveNew YorkTown of LloydKingston AreaUlsterEsopusKingstonKingstonSaugertiesShawangunkGardinerPlattekillShandakenWawarsing-1.000000x-1.000000x4.156863x4.156863x4.16x1.887%1.89%7.843%7.84%1-1.000000x-1.000000x2.714286x2.714286x2.71x2.632%2.63%7.143%7.14%2-1.000000x-1.000000x2.442310x2.442310x2.44x1.236%1.24%3.019%3.02%3-1.000000x-1.000000x2.338611x2.338611x2.34x3.493%3.49%8.168%8.17%4-1.000000x-1.000000x2.216202x2.216202x2.22x4.132%4.13%9.158%9.16%5-1.000000x-1.000000x2.112409x2.112409x2.11x1.197%1.20%2.529%2.53%6-1.000000x-1.000000x2.066289x2.066289x2.07x1.611%1.61%3.328%3.33%7-1.000000x-1.000000x2.049712x2.049712x2.05x6.345%6.35%13.006%13.0%8-1.000000x-1.000000x1.641016x1.641016x1.64x2.040%2.04%3.348%3.35%9-1.000000x-1.000000x1.547319x1.547319x1.55x5.289%5.29%8.184%8.18%10-1.000000x-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-1.000000x1.416054x1.416054x1.42x3.524%3.52%4.991%4.99%11-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.235062x1.235062x1.24x1.845%1.84%2.278%2.28%12-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-1.035619x-1.035619x1.04x1.000000x1.000000x2.544%2.54%2.456%2.46%13-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%14-1.240295x-1.240295x1.24x1.000000x1.000000x4.334%4.33%3.495%3.49%15-1.297153x-1.297153x1.30x1.000000x1.000000x3.509%3.51%2.705%2.70%16-1.313899x-1.313899x1.31x1.000000x1.000000x1.001%1.00%0.762%0.76%17-1.591615x-1.591615x1.59x1.000000x1.000000x6.945%6.95%4.364%4.36%18-1.684172x-1.684172x1.68x1.000000x1.000000x0.542%0.54%0.322%0.32%19-1.845703x-1.845703x1.85x1.000000x1.000000x8.003%8.00%4.336%4.34%20-2.109549x-2.109549x2.11x1.000000x1.000000x2.033%2.03%0.964%0.96%21
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 21 by male-to-female sex ratio

Educational Attainment by County in New York

There are 62 counties in New York. This section compares Ulster County to the 50 most populous counties in New York and to those entities that contain or substantially overlap with Ulster 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 Ulster County, selected other counties in New York, and entities that contain Ulster 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 CountySuffolkKingston Metro AreaKingston AreaUlster 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%102,414102k269.915901%9.915901%9.9%12,79312.8k9.915901%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 Ulster County, selected other counties in New York, and entities that contain Ulster 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 CountyRichmondKingston Metro AreaKingston AreaUlster 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 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%39,95740.0k30.970817%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%18,80618.8k4120.753949%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 Ulster County, selected other counties in New York, and entities that contain Ulster 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 CountySchenectadyKingston Metro AreaKingston AreaUlster CountyUlsterBroome CountyBroomeRichmond CountyRichmondMadison CountyMadisonSt. Lawrence CountySt. LawrenceWarren CountyWarrenQueens CountyQueensLivingston CountyLivingstonOrange CountyOrangeClinton 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%4,1533.219006%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%1,360292.385003%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 Ulster County, selected other counties in New York, and entities that contain Ulster County
Female
Male
1x0x1xFM#FranklinCayugaWashingtonWarrenColumbiaFultonPutnamOntarioTiogaOtsegoCortlandChemungSullivanChenangoChautauquaClintonTompkinsJeffersonOswegoSt. LawrenceWayneSteubenRensselaerMontgomeryKingston AreaUlsterSchenectadyCattaraugusMadisonSaratogaGeneseeOneidaLivingstonDutchessWestchesterSuffolkNiagaraUnited 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%-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 Ulster County, selected other counties in New York, and entities that contain Ulster County
Female
Male
1x0x1x2xFM#NiagaraWarrenChemungChautauquaSteubenOneidaCattaraugusBroomeFranklinSaratogaFultonSt. LawrenceChenangoErieSchenectadyDutchessOtsegoSuffolkMadisonWestchesterAlbanyNassauHerkimerMonroeClintonRocklandSullivanOnondagaTompkinsUnited StatesOswegoColumbiaMiddle AtlanticNortheastPutnamCayugaNew YorkRensselaerLivingstonWayneQueensOntarioKingsGeneseeCortlandNew YorkRichmondKingston AreaUlsterBronxOrangeTiogaWashingtonJeffersonMontgomery-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%-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 Ulster County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Ulster 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 Ulster County, selected other counties in the United States, and entities that contain Ulster 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 CountySuffolkKingston Metro AreaKingston AreaUlster CountyUlsterFranklin 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%102,414102k379.915901%9.915901%9.9%12,79312.8k9.915901%9.915901%9.9%12,79312.8k9.640656%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 Ulster County, selected other counties in the United States, and entities that contain Ulster 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 CountyBrowardKingston Metro AreaKingston AreaUlster CountyUlsterMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside 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%404,554405k3130.970817%30.970817%31.0%39,95740.0k30.970817%30.970817%31.0%39,95740.0k30.968863%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%311,245311k4719.731980%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 Ulster County, selected other counties in the United States, and entities that contain Ulster 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 CountySacramentoKingston Metro AreaKingston AreaUlster CountyUlsterMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeBexar CountyBexarQueens CountyQueensFresno 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%31,96532.0k373.219006%3.219006%3.2%4,1533.219006%3.219006%3.2%4,1533.113482%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%44,96545.0k432.392530%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 Ulster County, selected other counties in the United States, and entities that contain Ulster County
Female
Male
1x0x1xFM#MecklenburgKingston AreaUlsterPalm 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-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%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 Ulster County, selected other counties in the United States, and entities that contain Ulster County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonMiddle AtlanticContra CostaMilwaukeeSan DiegoNortheastOrangeFresnoHillsboroughHarrisNew YorkMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkKingston AreaUlsterBronx-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-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Principal City:
Kingston
Cities:
Kingston
Towns:
Denning, Esopus, Gardiner, Hardenburgh, Hurley, Kingston, Lloyd, Marbletown, Marlborough, New Paltz, Olive, Plattekill, Rochester, Rosendale, Saugerties, Shandaken, Shawangunk, Ulster, Wawarsing, Woodstock
Unincorporated Places:
Accord, Clintondale, Cragsmoor, East Kingston, Gardiner, Glasco, High Falls, Highland, Hillside, Hurley, Kerhonkson, Lake Katrine, Lincoln Park, Malden-on-Hudson, Marlboro, Milton, Napanoch, Phoenicia, Pine Hill, Plattekill, Port Ewen, Rifton, Rosendale Hamlet, Saugerties South, Shokan, Stone Ridge, Tillson, Walker Valley, Wallkill, Watchtower, West Hurley, Woodstock, Zena
Villages:
Ellenville, New Paltz, Saugerties
ZIP Codes:
12401, 12404, 12406, 12409, 12410, 12411, 12412, 12416, 12417, 12419, 12420, 12428, 12429, 12432, 12433, 12435, 12440, 12441, 12443, 12446, 12448, 12449, 12453, 12455, 12456, 12457, 12458, 12461, 12464, 12465, 12466, 12471, 12472, 12475, 12477, 12480, 12481, 12483, 12484, 12486, 12487, 12489, 12490, 12491, 12493, 12494, 12495, 12498, 12515, 12525, 12528, 12542, 12547, 12548, 12561, 12566, 12586, 12589, 12725, 12740, 12758
Unified School Districts:
Ellenville, Fallsburg, Highland, Kingston, Livingston Manor, Margaretville, Marlboro, New Paltz, Onteora, Pine Bush, Rondout Valley, Saugerties, Tri-Valley, Valley (Montgomery), Wallkill
Congressional District:
NY-19
State Senate Districts:
NY-39, NY-42, NY-46, NY-51
Assembly Districts:
NY-101, NY-102, NY-103, NY-104
Neighboring Counties:
Columbia, Delaware, Dutchess, Greene, Orange, Sullivan
Nearby Counties:
Albany, Otsego, Pike, Putnam, Rockland, Schenectady, Schoharie, Sussex, Westchester