Educational Attainment in Kingston, Ulster County, New York (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ulster County and Kingston
Kingston
Ulster County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.759658%41.133977%32.759658%32.8%5,44451.077145%48.950122%51.077145%51.1%8,48816.163197%9.915901%16.163197%16.2%2,686
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 Ulster County at large.
Scope: population of Ulster County and Kingston
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-20.358641%-20.358641%-20.4%32.760%32.8%41.134%41.1%4.345287%4.345287%+4.3%51.077%51.1%48.950%49.0%63.002798%63.002798%+63.0%16.163%16.2%9.916%9.92%
% percentage with given level in Kingston
ref. percentage with given level in Ulster County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Ulster County and Kingston
Kingston
Ulster County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.281743%1.500601%1.281743%1.3%2131.925623%1.718405%1.925623%1.9%3206.811891%10.833624%6.811891%6.8%1,13213.984836%16.918188%13.984836%14.0%2,3248.755566%10.163159%8.755566%8.8%1,45518.040679%18.410262%18.040679%18.0%2,99833.036466%30.539860%33.036466%33.0%5,49010.434469%6.770531%10.434469%10.4%1,7344.182212%2.249351%4.182212%4.2%6951.546516%0.896020%1.546516%1.5%257
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 Ulster County at large.
Scope: population of Ulster County and Kingston
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-14.584694%-14.584694%-14.6%1.282%1.28%1.501%1.50%12.058741%12.058741%+12.1%1.926%1.93%1.718%1.72%-37.122696%-37.122696%-37.1%6.812%6.81%10.834%10.8%-17.338453%-17.338453%-17.3%13.985%14.0%16.918%16.9%-13.849956%-13.849956%-13.8%8.756%8.76%10.163%10.2%-2.007487%-2.007487%-2.0%18.041%18.0%18.410%18.4%8.174912%8.174912%+8.2%33.036%33.0%30.540%30.5%54.115967%54.115967%+54.1%10.434%10.4%6.771%6.77%85.929734%85.929734%+85.9%4.182%4.18%2.249%2.25%72.598390%72.598390%+72.6%1.547%1.55%0.896%0.90%
% percentage with given level in Kingston
ref. percentage with given level in Ulster County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Ulster County and Kingston
More Females More Males
Ulster County
Kingston
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.266824%-17.272213%-11.266824%11%34.397%34.4%30.914%30.9%2.046229%9.118446%2.046229%2%50.591%50.6%51.626%51.6%16.305261%25.686468%16.305261%16%15.012%15.0%17.460%17.5%
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 Ulster County and Kingston
More Females More Males
Ulster County
Kingston
40%20%0%20%40%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-31.005287%-31.005287%31%16.782691%1.442%1.44%1.101%1.10%-3.098011%-3.098011%3%26.420794%1.953%1.95%1.895%1.89%-34.448331%-59.336574%-34.448331%34%7.745%7.74%5.760%5.76%-4.013053%6.131967%6.131967%6%13.593%13.6%14.427%14.4%-24.990261%-16.648202%-24.990261%25%9.664%9.66%7.732%7.73%-16.345045%-6.169252%-16.345045%16%19.316%19.3%16.603%16.6%11.987256%19.262920%11.987256%12%31.274%31.3%35.023%35.0%36.910010%46.897214%36.910010%37%8.892%8.89%12.174%12.2%-5.171431%-5.171431%5%3.078717%4.281%4.28%4.071%4.07%-51.277717%-55.216970%-51.277717%51%1.840%1.84%1.216%1.22%
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 Ulster County and Kingston
Kingston
Ulster County
0%5%10%15%B.X.Total65+45-6435-4425-349.411765%13.739435%9.411765%9.4%3363,57014.174972%17.290187%14.174972%14.2%8966,32114.673157%18.966961%14.673157%14.7%4222,87617.398078%18.582312%17.398078%17.4%6703,851
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 Ulster County at large.
Scope: population of Ulster County and Kingston
30%25%20%15%10%5%0%%ref.65+45-6435-4425-34-31.498170%-31.498170%31.5%9.412%9.41%13.739%13.7%-18.017239%-18.017239%18.0%14.175%14.2%17.290%17.3%-22.638335%-22.638335%22.6%14.673%14.7%18.967%19.0%-6.372908%-6.372908%6.4%17.398%17.4%18.582%18.6%
% percentage in Kingston with a Bachelor's degree
ref percentage in Ulster County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Ulster County and Kingston
More Females More Males
Ulster County
Kingston
40%20%0%20%FM65+45-6435-4425-3428.924550%24.802318%28.924550%28.9%8.413%8.41%10.846%10.8%-2.870398%34.004814%34.004814%34.0%12.220%12.2%16.375%16.4%-45.186411%-29.524612%-45.186411%45.2%17.674%17.7%12.173%12.2%-15.358971%-21.522569%-15.358971%15.4%18.555%18.6%16.084%16.1%
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 Ulster County and Kingston
Kingston
Ulster County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$60,076.000000$64,314.000000$60,076.000000$60.1k1,66510.019%10.0%$41,987.000000$47,079.000000$41,987.000000$42.0k2,32413.985%14.0%$30,321.000000$35,132.000000$30,321.000000$30.3k4,45326.796%26.8%$26,126.000000$30,972.000000$26,126.000000$26.1k5,49033.036%33.0%$21,238.000000$23,065.000000$21,238.000000$21.2k2,68616.163%16.2%$30,330.000000$37,370.000000$30,330.000000$30.3k16,61816.6k100.000%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 Ulster County and Kingston
Female Male
Ulster County
Kingston
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-54,868.000000$-59,783.000000$-54,868.000000$54.9k$54,868.000000$12,275.000000$59,783.000000$15,767.000000$67,143.000000$67.1k981684$-41,766.000000$-40,508.000000$-41,766.000000$41.8k$41,766.000000$869.000000$40,508.000000$15,370.000000$42,635.000000$42.6k1,1971,127$-27,122.000000$-30,809.000000$-27,122.000000$27.1k$27,122.000000$3,928.000000$30,809.000000$13,450.000000$31,050.000000$31.1k2,5521,901$-25,745.000000$-789.000000$-26,045.000000$-26,534.000000$26.5k$25,745.000000$26,045.000000$10,081.000000$25,745.000000$25.7k2,7542,736$-20,013.000000$-17,034.000000$-20,013.000000$20.0k$20,013.000000$2,180.000000$17,034.000000$10,696.000000$22,193.000000$22.2k1,3221,364$-30,010.000000$-32,662.000000$-30,010.000000$30.0k$30,010.000000$577.000000$32,662.000000$10,518.000000$30,587.000000$30.6k8,8067,812
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Ulster County and Kingston
Kingston
Ulster County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.318196%81.045267%88.318196%88.3%2,82075.475185%72.817821%75.475185%75.5%2,85961.715123%62.594300%61.715123%61.7%2,52661.651469%49.831203%61.651469%61.7%1,217
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Ulster County and Kingston
Female Male
Ulster County
Kingston
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-10.695444%-7.215889%-10.695444%10.7%10.695444%2.710636%7.215889%1.650851%13.406080%13.4%688669-15.640481%-2.883731%-13.847709%-18.524212%18.5%15.640481%13.847709%7.566249%15.640481%15.6%221241-8.620690%-21.682341%-11.990687%-4.060678%-30.303030%30.3%8.620690%11.990687%8.620690%8.6%1580-37.081081%-23.516111%-0.590831%-37.081081%37.1%37.081081%6.437437%23.516111%43.518519%43.5%423343-32.222222%-0.311111%-20.496278%-32.533333%32.5%32.222222%20.496278%3.077729%32.222222%32.2%116122
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Ulster County and Kingston
Female Male
Ulster County
Kingston
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-27.402078%-31.483935%-3.042249%-27.402078%27.4%27.402078%2.527774%31.483935%29.929852%29.9%1,5361,714-6.298655%-6.076441%-7.592635%-9.017877%-12.375096%12.4%6.298655%7.592635%6.298655%6.3%89161-53.409091%-58.323632%-1.949241%-53.409091%53.4%53.409091%24.177116%58.323632%77.586207%77.6%135141-4.938272%-10.304972%-11.814585%-11.506018%-15.243243%15.2%4.938272%11.814585%4.938272%4.9%48141-4.444444%-2.755556%-16.787004%-3.907785%-7.200000%7.2%4.444444%16.787004%4.444444%4.4%1627
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Kingston

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

Percentage of the population 25 years and older with given highest level of educational attainment
20.0%25.0%29.9%34.8%39.7%44.6%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
40.5%44.2%47.9%51.6%55.2%59.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.9%10.3%13.8%17.2%20.6%24.1%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.0%1.5%2.0%2.6%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%1.5%2.3%3.1%3.9%4.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%4.4%5.9%7.4%9.0%10.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.9%9.7%12.5%15.2%17.9%20.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.7%6.7%8.7%10.7%12.6%14.6%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
14.4%15.9%17.3%18.6%20.0%21.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
24.6%27.9%31.2%34.5%37.8%41.1%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.0%5.0%6.8%8.7%10.6%12.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%3.9%5.8%7.7%9.7%11.6%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.2%1.9%2.5%3.2%
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Educational Attainment by County Subdivision in the Kingston Area

There are 21 county subdivisions in the Kingston Area. This section compares Kingston to all of the county subdivisions in the Kingston Area and to those entities that contain or substantially overlap with Kingston.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kingston, selected other county subdivisions in the Kingston Area, and entities that contain Kingston
0%5%10%15%Count#Town of WawarsingWawarsingKingstonKingstonNew YorkUnited States of AmericaUnited StatesTown of UlsterUlsterTown of PlattekillPlattekillKingston City School DistrictKingstonMiddle 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%2,68616.163197%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%984412.634823%12.634823%12.6%4,75612.313400%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kingston, selected other county subdivisions in the Kingston Area, and entities that contain Kingston
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 RochesterRochesterKingston City School DistrictKingstonTown of EsopusEsopusTown of KingstonKingstonTown of SaugertiesSaugertiesKingstonKingstonTown 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%1,4841327.182403%27.182403%27.2%10,23210.2k26.957323%26.957323%27.0%1,7561425.755396%25.755396%25.8%1791524.413420%24.413420%24.4%3,3401624.004092%24.004092%24.0%3,98924.004092%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kingston, selected other county subdivisions in the Kingston Area, and entities that contain Kingston
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 CountyUlsterKingstonKingstonTown of SaugertiesSaugertiesKingston City School DistrictKingstonTown 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%5333.207366%3.207366%3.2%533113.128426%3.128426%3.1%428123.121513%3.121513%3.1%1,1752.656850%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in the Kingston Area, and entities that contain Kingston
Female
Male
2x1x0x1x2x3xFM#HurleyRochesterGardinerShawangunkWawarsingShandakenMarlboroughTown of LloydRosendaleWoodstockKingston AreaUlsterTown of OlivePlattekillKingstonKingstonEsopusKingstonUnited StatesNortheastMiddle AtlanticKingstonNew 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%-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-1.000000x1.049746x1.049746x1.05x12.339%12.3%12.953%13.0%-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#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in the Kingston Area, and entities that contain Kingston
Female
Male
2x1x0x1x2x3x4xFM#DenningHardenburghMarlboroughHurleyNew PaltzRochesterRosendaleWoodstockUlsterMarbletownUnited StatesMiddle AtlanticNortheastTown of OliveNew YorkKingstonTown of LloydKingston AreaUlsterEsopusKingstonKingstonKingstonSaugertiesShawangunkGardinerPlattekillShandakenWawarsing-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-1.000000x1.257324x1.257324x1.26x2.777%2.78%3.492%3.49%-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%-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 Subdivision in New York

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

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kingston, selected other county subdivisions in New York, and entities that contain Kingston
0%5%10%15%20%25%Count#BronxTown of RyeUticaBrooklynQueensRochesterSyracuseTown of MonroeMonroeTown of RamapoRamapoNew RochelleYonkersBuffaloKingstonKingstonSchenectadyMount VernonBinghamtonTown of IslipNew YorkWhite PlainsNiagara FallsTroyUnited States of AmericaUnited StatesManhattanKingston City School DistrictKingstonTown of BabylonBabylonMiddle AtlanticTown of Mount PleasantMt PleasantNortheastStaten IslandTown of HempsteadHempsteadTown of SouthamptonSouthamptonAlbanyKingston Metro AreaKingston AreaUlster CountyUlsterTown of CheektowagaCheektowagaTown of North HempsteadN HempsteadTown of HenriettaHenriettaTown of ClarkstownClarkstownTown of BrookhavenBrookhavenTown of OrangetownOrangetownTown of IrondequoitIrondequoitTown of UnionTown of PoughkeepsiePoughkeepsieTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghTown of West SenecaW SenecaTown of CortlandtCortlandtTown of ColonieColonieTown of TonawandaTonawandaTown of Oyster BayOyster BayTown of HamburgHamburgTown of ClayTown of WebsterWebsterTown of LancasterLancasterTown of AmherstAmherstTown of SmithtownSmithtownTown of PerintonPerinton28.837398%28.837398%28.8%261,022261k122.486598%22.486598%22.5%7,173220.612611%20.612611%20.6%7,934320.017506%20.017506%20.0%351,046351k419.344706%19.344706%19.3%315,505316k519.239011%19.239011%19.2%25,40825.4k619.000219%19.000219%19.0%16,47316.5k718.106509%18.106509%18.1%3,366817.423749%17.423749%17.4%12,58512.6k917.017312%17.017312%17.0%9,1321016.804756%16.804756%16.8%22,98023.0k1116.749688%16.749688%16.7%27,74127.7k1216.163197%16.163197%16.2%2,68616.163197%16.163197%16.2%2,68616.053840%16.053840%16.1%7,0251315.848348%15.848348%15.8%7,4241415.548463%15.548463%15.5%4,6281514.649584%14.649584%14.6%32,58832.6k1614.076424%14.076424%14.1%1,900,8921.90M13.893357%13.893357%13.9%5,7011713.797859%13.797859%13.8%4,6021813.551463%13.551463%13.6%4,1501913.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2012.634823%12.634823%12.6%4,75612.329428%12.329428%12.3%18,13418.1k2112.313400%12.313400%12.3%3,505,1913.51M11.896919%11.896919%11.9%3,4672211.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k2310.384134%10.384134%10.4%54,23054.2k2410.338812%10.338812%10.3%4,5042510.256196%10.256196%10.3%6,145269.915901%9.915901%9.9%12,79312.8k9.915901%9.915901%9.9%12,79312.8k9.212082%9.212082%9.2%5,923278.911497%8.911497%8.9%14,26914.3k288.854285%8.854285%8.9%2,337298.755407%8.755407%8.8%5,364308.603165%8.603165%8.6%28,07628.1k318.426036%8.426036%8.4%2,901328.287073%8.287073%8.3%3,120338.238475%8.238475%8.2%3,199348.176375%8.176375%8.2%2,253357.434661%7.434661%7.4%5,274367.370929%7.370929%7.4%10,45510.5k377.208489%7.208489%7.2%4,660386.815916%6.815916%6.8%2,256396.651967%6.651967%6.7%1,961406.651772%6.651772%6.7%3,781416.156495%6.156495%6.2%3,325425.758981%5.758981%5.8%11,95012.0k435.742876%5.742876%5.7%2,376445.420601%5.420601%5.4%2,256454.737815%4.737815%4.7%1,461464.651318%4.651318%4.7%1,392474.592814%4.592814%4.6%3,835484.565854%4.565854%4.6%3,744492.807340%2.807340%2.8%94750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kingston, selected other county subdivisions in New York, and entities that contain Kingston
0%20%40%60%Count#Town of GreenburghGreenburghManhattanTown of PerintonPerintonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of OrangetownOrangetownTown of HuntingtonHuntingtonTown of Mount PleasantMt PleasantWhite PlainsTown of ClarkstownClarkstownTown of CortlandtCortlandtTown of Oyster BayOyster BayTown of SmithtownSmithtownTown of WebsterWebsterNew RochelleTown of ColonieColonieTown of HempsteadHempsteadTown of SouthamptonSouthamptonTown of PoughkeepsiePoughkeepsieAlbanyTown of HenriettaHenriettaTown of IrondequoitIrondequoitTown of RyeNortheastNew YorkTown of TonawandaTonawandaBrooklynTown of ClayMiddle AtlanticTown of RamapoRamapoTown of LancasterLancasterTown of BrookhavenBrookhavenYonkersTown of HamburgHamburgStaten IslandKingston Metro AreaKingston AreaUlster CountyUlsterQueensUnited States of AmericaUnited StatesTown of UnionMount VernonTown of MonroeMonroeTown of GreeceGreeceTown of IslipTown of West SenecaW SenecaKingston City School DistrictKingstonSyracuseTown of BabylonBabylonTroyBuffaloKingstonKingstonRochesterBinghamtonTown of CheektowagaCheektowagaSchenectadyBronxUticaNiagara Falls61.467067%61.467067%61.5%39,73639.7k160.434640%60.434640%60.4%747,953748k256.650757%56.650757%56.7%19,11019.1k354.117365%54.117365%54.1%45,18845.2k453.266008%53.266008%53.3%85,28985.3k551.195213%51.195213%51.2%17,62617.6k650.346515%50.346515%50.3%71,41271.4k750.240203%50.240203%50.2%14,64114.6k849.283521%49.283521%49.3%20,22320.2k949.062270%49.062270%49.1%30,05830.1k1048.799186%48.799186%48.8%14,38614.4k1148.123874%48.123874%48.1%99,85899.9k1246.287805%46.287805%46.3%37,95638.0k1343.720206%43.720206%43.7%13,48213.5k1443.527198%43.527198%43.5%23,35823.4k1539.877203%39.877203%39.9%22,66722.7k1638.767308%38.767308%38.8%202,458202k1738.632816%38.632816%38.6%16,83016.8k1838.236255%38.236255%38.2%10,53610.5k1937.277810%37.277810%37.3%22,33522.3k2036.921270%36.921270%36.9%9,7452135.371457%35.371457%35.4%13,31713.3k2235.276968%35.276968%35.3%11,25311.3k2334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.333802%34.333802%34.3%18,54318.5k2434.081468%34.081468%34.1%597,685598k2533.809078%33.809078%33.8%14,07114.1k2633.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2732.191666%32.191666%32.2%9,6342832.119689%32.119689%32.1%104,821105k2932.032147%32.032147%32.0%43,80343.8k3031.697000%31.697000%31.7%13,11413.1k3131.359684%31.359684%31.4%101,712102k3230.970817%30.970817%31.0%39,95740.0k30.970817%30.970817%31.0%39,95740.0k30.595789%30.595789%30.6%499,006499k3330.315023%30.315023%30.3%64,767,78764.8M30.293587%30.293587%30.3%11,76311.8k3429.064555%29.064555%29.1%13,61513.6k3528.875740%28.875740%28.9%5,3683628.513632%28.513632%28.5%20,22720.2k3727.874579%27.874579%27.9%62,00762.0k3827.744041%27.744041%27.7%9,1833927.182403%27.182403%27.2%10,23210.2k26.804231%26.804231%26.8%23,23923.2k4025.418993%25.418993%25.4%37,38637.4k4125.333072%25.333072%25.3%7,7584225.263101%25.263101%25.3%41,84141.8k4324.004092%24.004092%24.0%3,98924.004092%24.004092%24.0%3,98923.661076%23.661076%23.7%31,24831.2k4423.460440%23.460440%23.5%6,9834521.402576%21.402576%21.4%13,76113.8k4621.072237%21.072237%21.1%9,2214719.131504%19.131504%19.1%173,169173k4817.120885%17.120885%17.1%6,5904917.041945%17.041945%17.0%5,68450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kingston, selected other county subdivisions in New York, and entities that contain Kingston
0%2%4%6%8%10%Count#Town of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of Mount PleasantMt PleasantWhite PlainsNew RochelleTown of HuntingtonHuntingtonTown of PerintonPerintonTown of CortlandtCortlandtTown of Oyster BayOyster BayTown of OrangetownOrangetownTown of SmithtownSmithtownTown of ClarkstownClarkstownAlbanyTown of PoughkeepsiePoughkeepsieTown of ColonieColonieTown of SouthamptonSouthamptonTown of HempsteadHempsteadSyracuseNew YorkNortheastTown of RamapoRamapoTown of WebsterWebsterTown of BrookhavenBrookhavenMiddle AtlanticTown of RyeYonkersBrooklynUnited States of AmericaUnited StatesTown of HenriettaHenriettaKingston Metro AreaKingston AreaUlster CountyUlsterKingstonKingstonBuffaloKingston City School DistrictKingstonStaten IslandBinghamtonTown of HamburgHamburgQueensRochesterTown of UnionTown of IrondequoitIrondequoitTown of TonawandaTonawandaTown of IslipMount VernonTown of GreeceGreeceTown of LancasterLancasterTroyTown of MonroeMonroeSchenectadyTown of ClayBronxTown of BabylonBabylonUticaTown of West SenecaW SenecaTown of CheektowagaCheektowagaNiagara Falls11.932680%11.932680%11.9%7,714110.788423%10.788423%10.8%133,520134k210.319825%10.319825%10.3%16,52416.5k39.511377%9.511377%9.5%7,94248.863496%8.863496%8.9%2,58358.692791%8.692791%8.7%3,56768.001789%8.001789%8.0%4,29477.591599%7.591599%7.6%10,76810.8k86.578128%6.578128%6.6%2,21996.326323%6.326323%6.3%1,865106.073676%6.073676%6.1%12,60312.6k115.974614%5.974614%6.0%2,057125.571951%5.571951%5.6%4,569135.549661%5.549661%5.5%3,400145.285822%5.285822%5.3%3,167154.946471%4.946471%4.9%1,363164.505471%4.505471%4.5%2,561174.464696%4.464696%4.5%1,945184.441262%4.441262%4.4%23,19423.2k194.250337%4.250337%4.3%3,685204.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935214.053572%4.053572%4.1%1,250223.952259%3.952259%4.0%12,89812.9k233.884861%3.884861%3.9%1,105,8831.11M3.855920%3.855920%3.9%1,230243.426766%3.426766%3.4%4,686253.384967%3.384967%3.4%59,36259.4k263.336158%3.336158%3.3%7,127,6737.13M3.243161%3.243161%3.2%856273.219006%3.219006%3.2%4,1533.219006%3.219006%3.2%4,1533.207366%3.207366%3.2%5333.207366%3.207366%3.2%5333.202492%3.202492%3.2%5,304283.121513%3.121513%3.1%1,1753.037245%3.037245%3.0%9,851292.852343%2.852343%2.9%849302.794093%2.794093%2.8%1,156312.756960%2.756960%2.8%44,96545.0k322.719873%2.719873%2.7%3,592332.616534%2.616534%2.6%1,016342.592366%2.592366%2.6%976352.592209%2.592209%2.6%1,400362.384356%2.384356%2.4%5,304372.267099%2.267099%2.3%1,062382.249852%2.249852%2.2%1,596392.235440%2.235440%2.2%669402.220481%2.220481%2.2%680411.909629%1.909629%1.9%355421.771064%1.771064%1.8%775431.737187%1.737187%1.7%723441.664253%1.664253%1.7%15,06415.1k451.603220%1.603220%1.6%2,358461.551012%1.551012%1.6%597471.157135%1.157135%1.2%383481.107378%1.107378%1.1%712491.058376%1.058376%1.1%35350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in New York, and entities that contain Kingston
Female
Male
1x0x1xFM#SouthamptonMt PleasantSchenectadyTown of RyeGreenburghKingston AreaUlsterNew RochelleHamburgKingstonKingstonGreeceNiagara FallsRamapoBrookhavenOrangetownWhite PlainsUnited StatesTown of IslipRochesterHempsteadHuntingtonYonkersSyracuseTown of ClayCortlandtNortheastMount VernonMiddle AtlanticBabylonKingstonN HempsteadTonawandaNew YorkBinghamtonBronxIrondequoitBrooklynUticaClarkstownTroyStaten IslandWebsterPoughkeepsieAlbanyQueensManhattanBuffaloOyster BayCheektowagaHenriettaLancasterMonroeColonieW SenecaSmithtownAmherstTown of UnionPerinton-1.000000x-1.000000x1.604365x1.604365x1.60x7.925%7.93%12.715%12.7%1-1.000000x-1.000000x1.433960x1.433960x1.43x9.779%9.78%14.023%14.0%2-1.000000x-1.000000x1.282414x1.282414x1.28x14.131%14.1%18.122%18.1%3-1.000000x-1.000000x1.281137x1.281137x1.28x19.775%19.8%25.334%25.3%4-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%5-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.254711x1.254711x1.25x15.159%15.2%19.020%19.0%6-1.000000x-1.000000x1.187720x1.187720x1.19x5.282%5.28%6.274%6.27%7-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%8-1.000000x-1.000000x1.137611x1.137611x1.14x12.973%13.0%14.759%14.8%9-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%10-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%11-1.000000x-1.000000x1.125221x1.125221x1.13x7.951%7.95%8.947%8.95%12-1.000000x-1.000000x1.115929x1.115929x1.12x13.178%13.2%14.706%14.7%13-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%14-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%15-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%16-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.076402x1.076402x1.08x5.232%5.23%5.632%5.63%20-1.000000x-1.000000x1.074661x1.074661x1.07x6.422%6.42%6.901%6.90%21-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.062811x1.062811x1.06x15.419%15.4%16.388%16.4%22-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%23-1.000000x-1.000000x1.049746x1.049746x1.05x12.339%12.3%12.953%13.0%-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%24-1.000000x-1.000000x1.049026x1.049026x1.05x6.020%6.02%6.315%6.31%25-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.042378x1.042378x1.04x15.245%15.2%15.891%15.9%26-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%27-1.000000x-1.000000x1.019781x1.019781x1.02x8.213%8.21%8.376%8.38%28-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%29-1.000000x-1.000000x1.012601x1.012601x1.01x20.491%20.5%20.749%20.7%30-1.000000x-1.000000x1.005766x1.005766x1.01x8.732%8.73%8.782%8.78%31-1.000000x-1.000000x1.004481x1.004481x1.00x13.523%13.5%13.584%13.6%32-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%33-1.005091x-1.005091x1.01x1.000000x1.000000x4.749%4.75%4.725%4.72%34-1.015377x-1.015377x1.02x1.000000x1.000000x8.237%8.24%8.112%8.11%35-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%36-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%37-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%38-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%39-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%40-1.067416x-1.067416x1.07x1.000000x1.000000x9.496%9.50%8.896%8.90%41-1.080215x-1.080215x1.08x1.000000x1.000000x9.187%9.19%8.505%8.50%42-1.147591x-1.147591x1.15x1.000000x1.000000x4.950%4.95%4.313%4.31%43-1.155863x-1.155863x1.16x1.000000x1.000000x19.373%19.4%16.761%16.8%44-1.160343x-1.160343x1.16x1.000000x1.000000x7.123%7.12%6.139%6.14%45-1.163000x-1.163000x1.16x1.000000x1.000000x7.289%7.29%6.267%6.27%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.266677x-1.266677x1.27x1.000000x1.000000x9.152%9.15%7.225%7.23%49-1.487023x-1.487023x1.49x1.000000x1.000000x3.320%3.32%2.233%2.23%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in New York, and entities that contain Kingston
Female
Male
1x0x1x2xFM#Niagara FallsUticaTown of UnionW SenecaPerintonSmithtownHuntingtonPoughkeepsieBrookhavenAmherstCortlandtOyster BayClarkstownTroyHamburgTonawandaGreenburghColonieLancasterMt PleasantBinghamtonBuffaloN HempsteadSyracuseUnited StatesMiddle AtlanticWebsterHempsteadNortheastCheektowagaRamapoOrangetownAlbanyNew RochelleWhite PlainsGreeceSchenectadyNew YorkRochesterTown of ClayIrondequoitMount VernonTown of RyeQueensHenriettaBrooklynKingstonManhattanStaten IslandMonroeKingston AreaUlsterBronxSouthamptonTown of IslipBabylonYonkersKingstonKingston-1.000000x-1.000000x2.541302x2.541302x2.54x0.618%0.62%1.571%1.57%1-1.000000x-1.000000x2.466374x2.466374x2.47x0.916%0.92%2.260%2.26%2-1.000000x-1.000000x2.358774x2.358774x2.36x1.591%1.59%3.754%3.75%3-1.000000x-1.000000x2.156993x2.156993x2.16x0.754%0.75%1.626%1.63%4-1.000000x-1.000000x1.799304x1.799304x1.80x4.778%4.78%8.597%8.60%5-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%6-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%7-1.000000x-1.000000x1.780300x1.780300x1.78x3.591%3.59%6.394%6.39%8-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%9-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%10-1.000000x-1.000000x1.768355x1.768355x1.77x4.623%4.62%8.174%8.17%11-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%12-1.000000x-1.000000x1.732881x1.732881x1.73x4.129%4.13%7.155%7.16%13-1.000000x-1.000000x1.714232x1.714232x1.71x1.663%1.66%2.850%2.85%14-1.000000x-1.000000x1.712291x1.712291x1.71x2.099%2.10%3.595%3.59%15-1.000000x-1.000000x1.704160x1.704160x1.70x1.955%1.95%3.331%3.33%16-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%17-1.000000x-1.000000x1.651215x1.651215x1.65x3.435%3.43%5.672%5.67%18-1.000000x-1.000000x1.594279x1.594279x1.59x1.748%1.75%2.787%2.79%19-1.000000x-1.000000x1.579415x1.579415x1.58x6.876%6.88%10.860%10.9%20-1.000000x-1.000000x1.566561x1.566561x1.57x2.252%2.25%3.528%3.53%21-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%22-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%23-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488955x1.488955x1.49x3.305%3.30%4.921%4.92%25-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%26-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.478733x1.478733x1.48x0.903%0.90%1.335%1.34%27-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%28-1.000000x-1.000000x1.465055x1.465055x1.47x4.889%4.89%7.163%7.16%29-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%30-1.000000x-1.000000x1.462506x1.462506x1.46x6.545%6.55%9.572%9.57%31-1.000000x-1.000000x1.461604x1.461604x1.46x7.148%7.15%10.448%10.4%32-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%33-1.000000x-1.000000x1.435683x1.435683x1.44x1.464%1.46%2.102%2.10%34-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%35-1.000000x-1.000000x1.406626x1.406626x1.41x1.458%1.46%2.051%2.05%36-1.000000x-1.000000x1.369034x1.369034x1.37x2.220%2.22%3.039%3.04%37-1.000000x-1.000000x1.341074x1.341074x1.34x1.970%1.97%2.641%2.64%38-1.000000x-1.000000x1.289753x1.289753x1.29x3.378%3.38%4.357%4.36%39-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%40-1.000000x-1.000000x1.266518x1.266518x1.27x2.870%2.87%3.635%3.63%41-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%42-1.000000x-1.000000x1.257324x1.257324x1.26x2.777%2.78%3.492%3.49%-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%43-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%44-1.000000x-1.000000x1.223046x1.223046x1.22x1.723%1.72%2.108%2.11%45-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%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%46-1.000000x-1.000000x1.196659x1.196659x1.20x4.062%4.06%4.861%4.86%47-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%48-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%49-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%50-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

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

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kingston, selected other county subdivisions in the Northeast, and entities that contain Kingston
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodKingstonKingstonWorcesterTown of IslipBostonJersey CityNew YorkUnited States of AmericaUnited StatesManhattanErieKingston City School DistrictKingstonManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordTown of HempsteadHempsteadAlbanyKingston Metro AreaKingston AreaUlster CountyUlsterWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442416.163197%16.163197%16.2%2,68616.163197%16.163197%16.2%2,68615.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2814.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.634823%12.634823%12.6%4,75612.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.915901%9.915901%9.9%12,79312.8k9.915901%9.915901%9.9%12,79312.8k9.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kingston, selected other county subdivisions in the Northeast, and entities that contain Kingston
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastNew YorkWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandKingston Metro AreaKingston AreaUlster CountyUlsterQueensUnited States of AmericaUnited StatesWorcesterProvidenceTown of GreeceGreeceManchesterTown of IslipKingston City School DistrictKingstonLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloKingstonKingstonRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.970817%30.970817%31.0%39,95740.0k30.970817%30.970817%31.0%39,95740.0k30.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2728.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3027.182403%27.182403%27.2%10,23210.2k26.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3524.004092%24.004092%24.0%3,98924.004092%24.004092%24.0%3,98923.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kingston, selected other county subdivisions in the Northeast, and entities that contain Kingston
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNew YorkNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesKingston Metro AreaKingston AreaUlster CountyUlsterKingstonKingstonBuffaloKingston City School DistrictKingstonStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.219006%3.219006%3.2%4,1533.219006%3.219006%3.2%4,1533.207366%3.207366%3.2%5333.207366%3.207366%3.2%5333.202492%3.202492%3.2%5,304263.121513%3.121513%3.1%1,1753.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in the Northeast, and entities that contain Kingston
Female
Male
1x0x1xFM#StamfordGreenburghSpringfieldKingston AreaUlsterKingstonKingstonNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonKingstonN HempsteadToms RivWaterburyAllentownNew YorkLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049746x1.049746x1.05x12.339%12.3%12.953%13.0%-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in the Northeast, and entities that contain Kingston
Female
Male
1x0x1x2xFM#LakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyNew YorkRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynKingstonManhattanPatersonStaten IslandBostonKingston AreaUlsterSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrocktonKingstonKingston-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.257324x1.257324x1.26x2.777%2.78%3.492%3.49%-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kingston, selected other county subdivisions in the United States, and entities that contain Kingston
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreKingstonKingstonOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonNew YorkSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseKingston City School DistrictKingstonSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonKingston Metro AreaKingston AreaUlster CountyUlsterAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2316.163197%16.163197%16.2%2,68616.163197%16.163197%16.2%2,68615.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2714.076424%14.076424%14.1%1,900,8921.90M13.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.634823%12.634823%12.6%4,75612.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.915901%9.915901%9.9%12,79312.8k9.915901%9.915901%9.9%12,79312.8k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kingston, selected other county subdivisions in the United States, and entities that contain Kingston
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastNew YorkColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaKingston Metro AreaKingston AreaUlster CountyUlsterQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyKingston City School DistrictKingstonOntarioPhiladelphiaMiamiFort WorthKingstonKingstonSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.970817%30.970817%31.0%39,95740.0k30.970817%30.970817%31.0%39,95740.0k30.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3727.182403%27.182403%27.2%10,23210.2k26.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4124.004092%24.004092%24.0%3,98924.004092%24.004092%24.0%3,98923.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kingston, selected other county subdivisions in the United States, and entities that contain Kingston
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNew YorkNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesKingston Metro AreaKingston AreaUlster CountyUlsterKingstonKingstonTulsaKingston City School DistrictKingstonPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.219006%3.219006%3.2%4,1533.219006%3.219006%3.2%4,1533.207366%3.207366%3.2%5333.207366%3.207366%3.2%5333.140490%3.140490%3.1%12,13312.1k313.121513%3.121513%3.1%1,1753.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in the United States, and entities that contain Kingston
Female
Male
1x0x1xFM#1, CharlotteKingston AreaUlsterDetroitBaltimoreTulsaKingstonKingstonSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverKingstonNew YorkNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%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-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%-1.000000x-1.000000x1.163053x1.163053x1.16x15.012%15.0%17.460%17.5%-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.049746x1.049746x1.05x12.339%12.3%12.953%13.0%-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Kingston, selected other county subdivisions in the United States, and entities that contain Kingston
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoNew YorkColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynKingstonManhattanChicagoSeattleBostonKingston AreaUlsterBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitKingstonKingston-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.257324x1.257324x1.26x2.777%2.78%3.492%3.49%-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%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%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%-1.133545x-1.133545x1.13x1.000000x1.000000x3.395%3.40%2.995%3.00%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
New York
County:
Ulster
Metro Area:
Kingston Area
City:
Kingston
ZIP Code:
12401
Unified School District:
Kingston
Congressional District:
NY-19
State Senate District:
NY-46
Assembly District:
NY-103
Neighboring Towns:
Esopus, Rhinebeck, Ulster
Nearby Towns:
Clinton, Hurley, Hyde Park, Kingston, Marbletown, Milan, Red Hook, Rosendale, Saugerties, Woodstock