Educational Attainment in Oneida County, New York (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of New York and Oneida County
Oneida County
New York
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.453841%43.362833%35.453841%35.5%56,70756.7k52.667775%42.560743%52.667775%52.7%84,24084.2k11.878384%14.076424%11.878384%11.9%18,99919.0k
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 Oneida County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-18.239105%-18.239105%-18.2%35.454%35.5%43.363%43.4%23.747313%23.747313%+23.7%52.668%52.7%42.561%42.6%-15.615047%-15.615047%-15.6%11.878%11.9%14.076%14.1%
% percentage with given level in Oneida 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 Oneida County
Oneida County
New York
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.880297%1.473954%0.880297%0.9%1,4081.421105%2.756433%1.421105%1.4%2,2737.141785%10.855739%7.141785%7.1%11,42311.4k14.344216%19.654818%14.344216%14.3%22,94322.9k11.666437%8.621889%11.666437%11.7%18,66018.7k19.172721%16.128337%19.172721%19.2%30,66630.7k33.495055%26.432406%33.495055%33.5%53,57453.6k7.385618%7.544155%7.385618%7.4%11,81311.8k2.733423%4.633976%2.733423%2.7%4,3721.759344%1.898293%1.759344%1.8%2,814
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 Oneida County
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-40.276496%-40.276496%-40.3%0.880%0.88%1.474%1.47%-48.444072%-48.444072%-48.4%1.421%1.42%2.756%2.76%-34.211891%-34.211891%-34.2%7.142%7.14%10.856%10.9%-27.019340%-27.019340%-27.0%14.344%14.3%19.655%19.7%35.311854%35.311854%+35.3%11.666%11.7%8.622%8.62%18.875994%18.875994%+18.9%19.173%19.2%16.128%16.1%26.719660%26.719660%+26.7%33.495%33.5%26.432%26.4%-2.101464%-2.101464%-2.1%7.386%7.39%7.544%7.54%-41.013454%-41.013454%-41.0%2.733%2.73%4.634%4.63%-7.319671%-7.319671%-7.3%1.759%1.76%1.898%1.90%
% percentage with given level in Oneida 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 Oneida County
More Females More Males
New York
Oneida County
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.985126%-7.071483%-12.985126%13%37.569%37.6%33.251%33.3%4.132793%5.599805%4.132793%4%51.623%51.6%53.756%53.8%20.208886%4.608047%20.208886%20%10.808%10.8%12.993%13.0%
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 Oneida County
More Females More Males
New York
Oneida County
50%0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None94.489420%44.135478%94.489420%94%0.602%0.60%1.170%1.17%111.048783%40.202453%111.048783%111%0.920%0.92%1.943%1.94%-68.736217%-35.501157%-68.736217%69%8.922%8.92%5.288%5.29%-0.174227%-0.174227%0%2.270902%14.356%14.4%14.331%14.3%-21.379014%-20.836943%-21.379014%21%12.768%12.8%10.519%10.5%3.879971%6.906283%3.879971%4%18.815%18.8%19.545%19.5%4.277786%4.810298%4.277786%4%32.808%32.8%34.211%34.2%18.963295%10.700533%18.963295%19%6.758%6.76%8.039%8.04%-0.222558%31.886207%31.886207%32%2.364%2.36%3.118%3.12%-6.719664%8.829990%8.829990%9%1.686%1.69%1.835%1.84%
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 Oneida County
Oneida County
New York
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3411.219332%12.423176%11.219332%11.2%4,55040,55540.6k14.102584%17.896303%14.102584%14.1%9,16464,98165.0k16.167391%21.971563%16.167391%16.2%4,24226,23826.2k17.701974%28.276328%17.701974%17.7%4,98728,17228.2k
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 Oneida County
30%20%10%0%%ref.65+45-6435-4425-34-9.690312%-9.690312%9.7%11.219%11.2%12.423%12.4%-21.198341%-21.198341%21.2%14.103%14.1%17.896%17.9%-26.416747%-26.416747%26.4%16.167%16.2%21.972%22.0%-37.396490%-37.396490%37.4%17.702%17.7%28.276%28.3%
% percentage in Oneida 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 Oneida County
More Females More Males
New York
Oneida County
20%10%0%10%20%30%FM65+45-6435-4425-3438.326881%33.023651%38.326881%38.3%9.622%9.62%13.310%13.3%-10.275686%-10.275686%10.3%1.970870%14.795%14.8%13.416%13.4%-6.438767%4.465851%4.465851%4.5%15.807%15.8%16.513%16.5%-28.464093%-12.233214%-28.464093%28.5%20.030%20.0%15.592%15.6%
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 Oneida County
Oneida County
New York
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$61,772.000000$72,399.000000$61,772.000000$61.8k15,10415.1k9.443%9.44%$46,025.000000$55,375.000000$46,025.000000$46.0k22,94322.9k14.344%14.3%$33,633.000000$36,986.000000$33,633.000000$33.6k49,32649.3k30.839%30.8%$28,749.000000$30,365.000000$28,749.000000$28.7k53,57453.6k33.495%33.5%$20,106.000000$20,519.000000$20,106.000000$20.1k18,99919.0k11.878%11.9%$34,576.000000$41,004.000000$34,576.000000$34.6k159,946160k100.000%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 Oneida County
Female Male
New York
Oneida County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-55,124.000000$-63,343.000000$-55,124.000000$55.1k$55,124.000000$24,081.000000$63,343.000000$23,803.000000$79,205.000000$79.2k8,5226,582$-37,453.000000$-49,056.000000$-37,453.000000$37.5k$37,453.000000$17,598.000000$49,056.000000$15,512.000000$55,051.000000$55.1k11,71411.7k11,22911.2k$-30,529.000000$-31,735.000000$-30,529.000000$30.5k$30,529.000000$8,931.000000$31,735.000000$11,868.000000$39,460.000000$39.5k25,77025.8k23,55623.6k$-23,559.000000$-24,345.000000$-23,559.000000$23.6k$23,559.000000$11,506.000000$24,345.000000$11,127.000000$35,065.000000$35.1k26,76926.8k26,80526.8k$-15,958.000000$-16,152.000000$-15,958.000000$16.0k$15,958.000000$5,595.000000$16,152.000000$7,310.000000$21,553.000000$21.6k8,81910,18010.2k$-30,451.000000$-35,927.000000$-30,451.000000$30.5k$30,451.000000$9,468.000000$35,927.000000$10,547.000000$39,919.000000$39.9k81,59481.6k78,35278.4k
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 Oneida County
Oneida County
New York
0%10%20%30%40%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma333.913043%35.024821%33.913043%33.9%7840.000000%49.578441%40.000000%40.0%9226.086957%15.176109%26.086957%26.1%600.000000%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 Oneida County
Oneida County
New York
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.930261%83.757888%82.930261%82.9%24,75824.8k74.220279%74.250177%74.220279%74.2%29,19929.2k64.963891%66.710729%64.963891%65.0%24,46824.5k36.961379%53.477224%36.961379%37.0%4,632
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 Oneida County
Female Male
New York
Oneida County
Shaded bar tips show excess over facing bar.
40%20%0%20%MFWhite1BlackAsianHispanic2Other1-8.800496%-7.010475%-8.800496%8.8%8.800496%1.136699%7.010475%0.656174%9.937195%9.9%6,6776,383-16.650532%-16.701438%-16.650532%16.7%16.650532%9.048697%16.701438%1.459915%25.699230%25.7%1,268516-39.326376%-3.115015%-20.301815%-2.571975%-42.441390%42.4%39.326376%20.301815%39.326376%39.3%8291,050-27.952167%-31.379019%-27.952167%28.0%27.952167%10.164425%31.379019%1.968087%38.116592%38.1%1,275748-23.112720%-31.931206%-23.112720%23.1%23.112720%11.386837%31.931206%2.116169%34.499557%34.5%779447
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 Oneida County
Female Male
New York
Oneida County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-24.196333%-1.252447%-40.543483%-0.368528%-25.448780%25.4%24.196333%40.543483%24.196333%24.2%16,25816.3k18,45818.5k-8.370490%-6.989303%-19.678068%-5.271968%-15.359793%15.4%8.370490%19.678068%8.370490%8.4%413476-21.624899%-45.028356%-21.624899%21.6%21.624899%9.636961%45.028356%1.700641%31.261860%31.3%659535-8.908819%-9.177877%-15.579824%-4.078609%-18.086697%18.1%8.908819%15.579824%8.908819%8.9%298484-11.116032%-14.064940%-15.106332%-4.239492%-25.180972%25.2%11.116032%15.106332%11.116032%11.1%251487
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 Oneida 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
18%26%33%40%47%55%

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
40%46%52%58%64%70%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%7.6%10.8%14.1%17.4%20.7%

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%0.8%1.7%2.5%3.3%4.2%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.4%3.2%4.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.0%4.3%6.6%8.8%11.1%13.4%

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
5.3%8.7%12.1%15.5%18.8%22.3%

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
7.8%9.6%11.3%13.1%14.8%16.6%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
12.4%14.9%17.5%20.0%22.5%25.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
24.5%29.2%33.8%38.4%43.0%47.7%

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
2.4%5.0%7.6%10.2%12.7%15.4%

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
0.3%1.5%2.7%4.0%5.2%6.4%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.0%2.7%3.5%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Oneida 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
5%17%29%41%53%65%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
32%40%47%55%62%70%

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%10%18%25%33%41%

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%3.1%4.7%6.2%7.8%

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%1.6%3.2%4.8%6.3%8.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%4.1%7.9%11.8%15.6%19.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%7%13%19%25%31%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%6.4%11.2%16.0%20.7%25.6%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
10.9%14.2%17.5%20.8%24.0%27.3%

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
17%24%30%36%42%48%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%17%22%28%

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%3.8%7.6%11.4%15.2%19.0%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.2%6.4%9.6%12.7%16.0%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Oneida County

There are 28 places that are fully or partially contained within Oneida County (27 fully and 1 partially). This section compares all 28 of those to each other, Oneida County, and other entities that contain or substantially overlap with Oneida 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 Oneida County, selected places in Oneida County, and entities that contain Oneida County
0%5%10%15%20%Count#VeronaUticaSylvan BeachBridgewaterNew YorkUnited States of AmericaUnited StatesClayvilleMiddle AtlanticRomeDurhamvilleCamdenOneida CountyOneidaNortheastUtica and Rome Metro AreaUtica AreaOriskany FallsBoonvilleSherrillYorkvilleVernonRemsenWhitesboroWashington MillsWatervilleOriskanyOneida CastleProspectNew HartfordClark MillsWestmorelandChadwicksNew York MillsClintonHolland PatentBarneveld23.260437%23.260437%23.3%117120.612611%20.612611%20.6%7,934216.220472%16.220472%16.2%103316.023739%16.023739%16.0%54414.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.621359%12.621359%12.6%26512.313400%12.313400%12.3%3,505,1913.51M12.019231%12.019231%12.0%2,800611.946903%11.946903%11.9%54711.926606%11.926606%11.9%195811.878384%11.878384%11.9%18,99919.0k11.614335%11.614335%11.6%4,487,0854.49M11.437233%11.437233%11.4%23,35323.4k11.001965%11.001965%11.0%56910.697032%10.697032%10.7%155108.777429%8.777429%8.8%196118.684211%8.684211%8.7%165128.135593%8.135593%8.1%72137.909605%7.909605%7.9%28147.241130%7.241130%7.2%200156.783920%6.783920%6.8%54166.206897%6.206897%6.2%72175.469556%5.469556%5.5%53185.228758%5.228758%5.2%24195.154639%5.154639%5.2%10205.021521%5.021521%5.0%70214.836601%4.836601%4.8%74224.622871%4.622871%4.6%19234.489338%4.489338%4.5%40244.164859%4.164859%4.2%96253.583978%3.583978%3.6%51263.383459%3.383459%3.4%9272.577320%2.577320%2.6%528
Count number of people in category
# rank of place out of 28 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 Oneida County, selected places in Oneida County, and entities that contain Oneida County
0%10%20%30%40%50%Count#ClintonNew HartfordNortheastNew YorkMiddle AtlanticBarneveldSherrillUnited States of AmericaUnited StatesWashington MillsHolland PatentClark MillsWatervilleYorkvilleOneida CountyOneidaVernonUtica and Rome Metro AreaUtica AreaOneida CastleOriskanyCamdenRomeWhitesboroNew York MillsProspectChadwicksClayvilleUticaOriskany FallsSylvan BeachWestmorelandRemsenBoonvilleBridgewaterVeronaDurhamville53.338018%53.338018%53.3%759142.898135%42.898135%42.9%598234.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M32.474227%32.474227%32.5%63331.124048%31.124048%31.1%695430.315023%30.315023%30.3%64,767,78764.8M28.015075%28.015075%28.0%223525.187970%25.187970%25.2%67625.163399%25.163399%25.2%385725.000000%25.000000%25.0%290823.894737%23.894737%23.9%454923.787403%23.787403%23.8%38,04738.0k23.615819%23.615819%23.6%2091023.298104%23.298104%23.3%47,57147.6k21.350763%21.350763%21.4%981121.052632%21.052632%21.1%2041220.244648%20.244648%20.2%3311319.805975%19.805975%19.8%4,6141419.044171%19.044171%19.0%5261518.741866%18.741866%18.7%4321618.556701%18.556701%18.6%361718.069585%18.069585%18.1%1611817.475728%17.475728%17.5%361917.120885%17.120885%17.1%6,5902015.717092%15.717092%15.7%802114.645669%14.645669%14.6%932213.381995%13.381995%13.4%552311.016949%11.016949%11.0%392410.697032%10.697032%10.7%1552510.089021%10.089021%10.1%34264.970179%4.970179%5.0%25274.646018%4.646018%4.6%2128
Count number of people in category
# rank of place out of 28 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 Oneida County, selected places in Oneida County, and entities that contain Oneida County
0%5%10%Count#ClintonWestmorelandNew HartfordNew YorkNortheastMiddle AtlanticBarneveldUnited States of AmericaUnited StatesClark MillsOneida CountyOneidaChadwicksUtica and Rome Metro AreaUtica AreaCamdenSylvan BeachRomeWhitesboroUticaOriskany FallsWatervilleBridgewaterNew York MillsSherrillYorkvilleHolland PatentOriskanyVernonOneida CastleBoonvilleWashington MillsDurhamvilleVeronaRemsenClayvilleProspect11.665495%11.665495%11.7%16616.326034%6.326034%6.3%2624.232425%4.232425%4.2%5934.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.608247%3.608247%3.6%743.336158%3.336158%3.3%7,127,6737.13M2.941176%2.941176%2.9%4552.301402%2.301402%2.3%3,6812.132435%2.132435%2.1%1962.120636%2.120636%2.1%4,3302.079511%2.079511%2.1%3471.889764%1.889764%1.9%1281.622596%1.622596%1.6%37891.556843%1.556843%1.6%43101.551012%1.551012%1.6%597111.375246%1.375246%1.4%7121.206897%1.206897%1.2%14131.186944%1.186944%1.2%4141.127983%1.127983%1.1%26151.119570%1.119570%1.1%25160.947368%0.947368%0.9%18170.751880%0.751880%0.8%2180.722394%0.722394%0.7%7190.564972%0.564972%0.6%5200.435730%0.435730%0.4%2210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%028
Count number of people in category
# rank of place out of 28 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 Oneida County, selected places in Oneida County, and entities that contain Oneida County
Female
Male
10x5x0x5x10xFM#Washington MillsOriskanyHolland PatentChadwicksNew HartfordVeronaSylvan BeachCamdenWatervilleBridgewaterBarneveldRomeOriskany FallsClintonOneidaWhitesboroUtica AreaUnited StatesNortheastMiddle AtlanticNew YorkProspectSherrillUticaRemsenNew York MillsYorkvilleOneida CastleBoonvilleVernonClayvilleClark MillsDurhamvilleWestmoreland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.789%0.79%12.260%12.3%1-1.000000x-1.000000x3.623163x3.623163x3.62x2.481%2.48%8.989%8.99%2-1.000000x-1.000000x3.010490x3.010490x3.01x1.626%1.63%4.895%4.90%3-1.000000x-1.000000x2.440816x2.440816x2.44x2.767%2.77%6.753%6.75%4-1.000000x-1.000000x2.414438x2.414438x2.41x3.046%3.05%7.355%7.36%5-1.000000x-1.000000x2.119565x2.119565x2.12x15.385%15.4%32.609%32.6%6-1.000000x-1.000000x2.074088x2.074088x2.07x10.920%10.9%22.648%22.6%7-1.000000x-1.000000x2.050123x2.050123x2.05x8.198%8.20%16.808%16.8%8-1.000000x-1.000000x1.988839x1.988839x1.99x4.321%4.32%8.594%8.59%9-1.000000x-1.000000x1.897590x1.897590x1.90x11.111%11.1%21.084%21.1%10-1.000000x-1.000000x1.663043x1.663043x1.66x1.961%1.96%3.261%3.26%11-1.000000x-1.000000x1.294528x1.294528x1.29x10.447%10.4%13.524%13.5%12-1.000000x-1.000000x1.287001x1.287001x1.29x9.600%9.60%12.355%12.4%13-1.000000x-1.000000x1.245347x1.245347x1.25x3.238%3.24%4.032%4.03%14-1.000000x-1.000000x1.202089x1.202089x1.20x10.808%10.8%12.993%13.0%-1.000000x-1.000000x1.196952x1.196952x1.20x6.616%6.62%7.919%7.92%15-1.000000x-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-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-1.000000x1.042105x1.042105x1.04x5.051%5.05%5.263%5.26%16-1.000000x-1.000000x1.028317x1.028317x1.03x8.663%8.66%8.908%8.91%17-1.000000x-1.000000x1.012601x1.012601x1.01x20.491%20.5%20.749%20.7%18-1.018822x-1.018822x1.02x1.000000x1.000000x7.979%7.98%7.831%7.83%19-1.021031x-1.021031x1.02x1.000000x1.000000x4.200%4.20%4.114%4.11%20-1.315463x-1.315463x1.32x1.000000x1.000000x9.913%9.91%7.536%7.54%21-1.357940x-1.357940x1.36x1.000000x1.000000x6.009%6.01%4.425%4.42%22-1.446847x-1.446847x1.45x1.000000x1.000000x12.362%12.4%8.544%8.54%23-1.567982x-1.567982x1.57x1.000000x1.000000x9.868%9.87%6.294%6.29%24-2.385000x-2.385000x2.39x1.000000x1.000000x18.000%18.0%7.547%7.55%25-5.994937x-5.994937x5.99x1.000000x1.000000x8.101%8.10%1.351%1.35%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x19.014%19.0%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x9.360%9.36%0.000%0%28
F percentage of females in category
M percentage of males in category
# rank of place out of 28 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 Oneida County, selected places in Oneida County, and entities that contain Oneida County
Female
Male
10x5x0x5x10xFM#New York MillsChadwicksOriskanyOriskany FallsOneida CastleNew HartfordClark MillsWatervilleUticaOneidaUtica AreaVernonUnited StatesMiddle AtlanticRomeNortheastNew YorkClintonYorkvilleCamdenWestmorelandWhitesboroSherrillSylvan BeachBridgewaterHolland PatentBarneveld-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.743%2.74%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.935%4.94%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.573%1.57%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.703%2.70%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.885%0.88%5-1.000000x-1.000000x5.789515x5.789515x5.79x1.325%1.32%7.668%7.67%6-1.000000x-1.000000x3.299754x3.299754x3.30x1.392%1.39%4.595%4.59%7-1.000000x-1.000000x3.164063x3.164063x3.16x0.617%0.62%1.953%1.95%8-1.000000x-1.000000x2.466374x2.466374x2.47x0.916%0.92%2.260%2.26%9-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%-1.000000x-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-1.000000x-1.000000x1.594406x1.594406x1.59x0.439%0.44%0.699%0.70%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-1.000000x1.486958x1.486958x1.49x1.299%1.30%1.932%1.93%11-1.000000x-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-1.000000x1.392298x1.392298x1.39x9.963%9.96%13.871%13.9%12-1.000000x-1.000000x1.168534x1.168534x1.17x0.871%0.87%1.018%1.02%13-1.000000x-1.000000x1.033675x1.033675x1.03x2.050%2.05%2.119%2.12%14-1.024631x-1.024631x1.02x1.000000x1.000000x6.404%6.40%6.250%6.25%15-1.558235x-1.558235x1.56x1.000000x1.000000x1.880%1.88%1.207%1.21%16-1.560976x-1.560976x1.56x1.000000x1.000000x1.346%1.35%0.862%0.86%17-2.474138x-2.474138x2.47x1.000000x1.000000x2.586%2.59%1.045%1.05%18-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.339%2.34%0.000%0%19-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.626%1.63%0.000%0%20-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.863%6.86%0.000%0%21
F percentage of females in category
M percentage of males in category
# rank of place out of 21 by male-to-female sex ratio

Educational Attainment by County Subdivision in Oneida County

There are 29 county subdivisions in Oneida County. This section compares all 29 of those to each other, Oneida County, and other entities that contain or substantially overlap with Oneida 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 Oneida County, selected county subdivisions in Oneida County, and entities that contain Oneida County
0%5%10%15%20%Count#UticaTown of MarcyTown of FlorenceFlorenceTown of ViennaViennaTown of AnnsvilleAnnsvilleNew YorkUnited States of AmericaUnited StatesMiddle AtlanticTown of AvaRomeOneida CountyOneidaTown of CamdenCamdenNortheastUtica and Rome Metro AreaUtica AreaTown of BridgewaterBridgewaterTown of MarshallMarshallTown of SangerfieldSangerfieldTown of VeronaVeronaTown of BoonvilleBoonvilleSherrillTown of WestmorelandWestmorelandTown of VernonVernonTown of LeeTown of AugustaAugustaTown of ForestportForestportTown of WesternWTown of RemsenRemsenTown of WhitestownWhitestownTown of SteubenSteubenTown of DeerfieldDeerfieldTown of TrentonTrentonTown of New HartfordNew HartfordTown of ParisTown of KirklandKirklandTown of Floyd20.612611%20.612611%20.6%7,934118.268373%18.268373%18.3%1,228217.343750%17.343750%17.3%111315.194252%15.194252%15.2%571414.826498%14.826498%14.8%282514.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M12.158809%12.158809%12.2%49612.019231%12.019231%12.0%2,800711.878384%11.878384%11.9%18,99919.0k11.794415%11.794415%11.8%397811.614335%11.614335%11.6%4,487,0854.49M11.437233%11.437233%11.4%23,35323.4k10.729614%10.729614%10.7%100910.347271%10.347271%10.3%146109.645233%9.645233%9.6%174119.171117%9.171117%9.2%395129.010712%9.010712%9.0%286138.777429%8.777429%8.8%196148.683603%8.683603%8.7%376158.543638%8.543638%8.5%325168.331580%8.331580%8.3%396177.974277%7.974277%8.0%124187.562349%7.562349%7.6%94197.412224%7.412224%7.4%114207.057057%7.057057%7.1%94217.043184%7.043184%7.0%959226.993007%6.993007%7.0%60236.175367%6.175367%6.2%181245.268109%5.268109%5.3%168255.214118%5.214118%5.2%845265.151915%5.151915%5.2%156275.003127%5.003127%5.0%320284.325513%4.325513%4.3%11829
Count number of people in category
# rank of county subdivision out of 29 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 Oneida County, selected county subdivisions in Oneida County, and entities that contain Oneida County
0%10%20%30%40%Count#Town of KirklandKirklandTown of New HartfordNew HartfordTown of TrentonTrentonNortheastNew YorkMiddle AtlanticTown of DeerfieldDeerfieldSherrillUnited States of AmericaUnited StatesTown of ParisTown of WhitestownWhitestownTown of MarshallMarshallTown of MarcyTown of FloydTown of WestmorelandWestmorelandTown of LeeTown of ForestportForestportOneida CountyOneidaTown of SangerfieldSangerfieldUtica and Rome Metro AreaUtica AreaTown of WesternWRomeTown of CamdenCamdenTown of RemsenRemsenTown of AugustaAugustaTown of VernonVernonTown of SteubenSteubenUticaTown of BoonvilleBoonvilleTown of BridgewaterBridgewaterTown of VeronaVeronaTown of AvaTown of ViennaViennaTown of AnnsvilleAnnsvilleTown of FlorenceFlorence42.682927%42.682927%42.7%2,730140.466494%40.466494%40.5%6,558235.559737%35.559737%35.6%1,134334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M32.343910%32.343910%32.3%948431.124048%31.124048%31.1%695530.315023%30.315023%30.3%64,767,78764.8M29.392338%29.392338%29.4%890627.761457%27.761457%27.8%3,780727.285613%27.285613%27.3%385825.870277%25.870277%25.9%1,739924.926686%24.926686%24.9%6801024.780600%24.780600%24.8%1,0731124.447717%24.447717%24.4%1,1621223.813355%23.813355%23.8%2961323.787403%23.787403%23.8%38,04738.0k23.558758%23.558758%23.6%4251423.298104%23.298104%23.3%47,57147.6k22.691808%22.691808%22.7%3491519.805975%19.805975%19.8%4,6141619.281046%19.281046%19.3%6491718.843844%18.843844%18.8%2511818.842444%18.842444%18.8%2931918.401682%18.401682%18.4%7002017.132867%17.132867%17.1%1472117.120885%17.120885%17.1%6,5902216.918715%16.918715%16.9%5372313.412017%13.412017%13.4%1252413.327142%13.327142%13.3%5742512.158809%12.158809%12.2%492610.910059%10.910059%10.9%4102710.725552%10.725552%10.7%204289.375000%9.375000%9.4%6029
Count number of people in category
# rank of county subdivision out of 29 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 Oneida County, selected county subdivisions in Oneida County, and entities that contain Oneida County
0%1%2%3%4%5%6%7%Count#Town of KirklandKirklandTown of New HartfordNew HartfordNew YorkNortheastMiddle AtlanticUnited States of AmericaUnited StatesTown of TrentonTrentonTown of WesternWTown of MarshallMarshallTown of BoonvilleBoonvilleOneida CountyOneidaTown of MarcyUtica and Rome Metro AreaUtica AreaTown of WestmorelandWestmorelandTown of WhitestownWhitestownTown of ParisTown of DeerfieldDeerfieldTown of ForestportForestportTown of CamdenCamdenTown of SteubenSteubenRomeUticaTown of BridgewaterBridgewaterTown of VeronaVeronaSherrillTown of AnnsvilleAnnsvilleTown of RemsenRemsenTown of SangerfieldSangerfieldTown of VernonVernonTown of ViennaViennaTown of FloydTown of LeeTown of AugustaAugustaTown of FlorenceFlorenceTown of Ava7.129456%7.129456%7.1%45616.386524%6.386524%6.4%1,03524.230387%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%7,127,6737.13M3.292568%3.292568%3.3%10533.055917%3.055917%3.1%4742.622254%2.622254%2.6%3752.425961%2.425961%2.4%7762.301402%2.301402%2.3%3,6812.276108%2.276108%2.3%15372.120636%2.120636%2.1%4,3302.032333%2.032333%2.0%8882.027027%2.027027%2.0%27691.717305%1.717305%1.7%52101.705902%1.705902%1.7%50111.689461%1.689461%1.7%21121.633987%1.633987%1.6%55131.631702%1.631702%1.6%14141.622596%1.622596%1.6%378151.551012%1.551012%1.6%597161.394850%1.394850%1.4%13171.369863%1.369863%1.4%59181.119570%1.119570%1.1%25190.893796%0.893796%0.9%17200.825826%0.825826%0.8%11210.776053%0.776053%0.8%14220.736067%0.736067%0.7%28230.691857%0.691857%0.7%26240.623167%0.623167%0.6%17250.483905%0.483905%0.5%23260.450161%0.450161%0.5%7270.000000%0.000000%0.0%0280.000000%0.000000%0.0%029
Count number of people in category
# rank of county subdivision out of 29 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 Oneida County, selected county subdivisions in Oneida County, and entities that contain Oneida County
Female
Male
1x0x1x2x3xFM#SteubenWTown of MarcyFlorenceCamdenTrentonTown of ParisMarshallAugustaTown of LeeSangerfieldBridgewaterTown of FloydViennaVeronaAnnsvilleRomeOneidaUtica AreaWhitestownUnited StatesBoonvilleNortheastMiddle AtlanticNew YorkKirklandSherrillUticaNew HartfordRemsenVernonForestportDeerfieldTown of AvaWestmoreland-1.000000x-1.000000x3.677369x3.677369x3.68x2.835%2.84%10.426%10.4%1-1.000000x-1.000000x3.239832x3.239832x3.24x3.636%3.64%11.781%11.8%2-1.000000x-1.000000x2.757018x2.757018x2.76x8.541%8.54%23.548%23.5%3-1.000000x-1.000000x2.366003x2.366003x2.37x10.398%10.4%24.601%24.6%4-1.000000x-1.000000x2.352302x2.352302x2.35x7.234%7.23%17.017%17.0%5-1.000000x-1.000000x2.326202x2.326202x2.33x3.159%3.16%7.347%7.35%6-1.000000x-1.000000x2.003353x2.003353x2.00x3.448%3.45%6.908%6.91%7-1.000000x-1.000000x1.924479x1.924479x1.92x7.113%7.11%13.689%13.7%8-1.000000x-1.000000x1.823679x1.823679x1.82x5.593%5.59%10.199%10.2%9-1.000000x-1.000000x1.799231x1.799231x1.80x6.014%6.01%10.820%10.8%10-1.000000x-1.000000x1.537028x1.537028x1.54x7.747%7.75%11.908%11.9%11-1.000000x-1.000000x1.485570x1.485570x1.49x8.590%8.59%12.762%12.8%12-1.000000x-1.000000x1.454333x1.454333x1.45x3.535%3.54%5.142%5.14%13-1.000000x-1.000000x1.414345x1.414345x1.41x12.567%12.6%17.774%17.8%14-1.000000x-1.000000x1.400045x1.400045x1.40x7.678%7.68%10.750%10.8%15-1.000000x-1.000000x1.395285x1.395285x1.40x12.339%12.3%17.216%17.2%16-1.000000x-1.000000x1.294528x1.294528x1.29x10.447%10.4%13.524%13.5%17-1.000000x-1.000000x1.202089x1.202089x1.20x10.808%10.8%12.993%13.0%-1.000000x-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-1.000000x-1.000000x1.130591x1.130591x1.13x6.625%6.62%7.490%7.49%18-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.091268x1.091268x1.09x8.626%8.63%9.413%9.41%19-1.000000x-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-1.000000x1.028876x1.028876x1.03x4.939%4.94%5.081%5.08%20-1.000000x-1.000000x1.028317x1.028317x1.03x8.663%8.66%8.908%8.91%21-1.000000x-1.000000x1.012601x1.012601x1.01x20.491%20.5%20.749%20.7%22-1.110720x-1.110720x1.11x1.000000x1.000000x5.463%5.46%4.918%4.92%23-1.254438x-1.254438x1.25x1.000000x1.000000x7.840%7.84%6.250%6.25%24-1.264183x-1.264183x1.26x1.000000x1.000000x9.502%9.50%7.516%7.52%25-1.278205x-1.278205x1.28x1.000000x1.000000x8.480%8.48%6.634%6.63%26-1.352007x-1.352007x1.35x1.000000x1.000000x7.076%7.08%5.234%5.23%27-1.646980x-1.646980x1.65x1.000000x1.000000x15.049%15.0%9.137%9.14%28-1.758228x-1.758228x1.76x1.000000x1.000000x11.030%11.0%6.273%6.27%29
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 29 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 Oneida County, selected county subdivisions in Oneida County, and entities that contain Oneida County
Female
Male
10x5x0x5x10xFM#Town of ParisAugustaBoonvilleMarshallWDeerfieldVeronaNew HartfordSangerfieldWhitestownUticaOneidaKirklandUtica AreaViennaRemsenUnited StatesMiddle AtlanticRomeNortheastVernonNew YorkTrentonCamdenTown of MarcySherrillWestmorelandForestportBridgewaterSteubenTown of LeeTown of FloydAnnsville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.488%3.49%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.871%0.87%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.431%0.43%4.513%4.51%3-1.000000x-1.000000x6.612104x6.612104x6.61x0.697%0.70%4.611%4.61%4-1.000000x-1.000000x4.885460x4.885460x4.89x1.091%1.09%5.330%5.33%5-1.000000x-1.000000x4.181438x4.181438x4.18x0.668%0.67%2.791%2.79%6-1.000000x-1.000000x3.400109x3.400109x3.40x0.632%0.63%2.150%2.15%7-1.000000x-1.000000x3.115694x3.115694x3.12x3.248%3.25%10.120%10.1%8-1.000000x-1.000000x2.979951x2.979951x2.98x0.408%0.41%1.215%1.22%9-1.000000x-1.000000x2.484985x2.484985x2.48x1.180%1.18%2.932%2.93%10-1.000000x-1.000000x2.466374x2.466374x2.47x0.916%0.92%2.260%2.26%11-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%-1.000000x-1.000000x2.037083x2.037083x2.04x4.853%4.85%9.886%9.89%12-1.000000x-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-1.000000x-1.000000x1.855016x1.855016x1.86x0.483%0.48%0.897%0.90%13-1.000000x-1.000000x1.803354x1.803354x1.80x0.592%0.59%1.067%1.07%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-1.000000x1.486958x1.486958x1.49x1.299%1.30%1.932%1.93%15-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.429194x1.429194x1.43x0.610%0.61%0.871%0.87%16-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.314238x1.314238x1.31x2.843%2.84%3.736%3.74%17-1.047746x-1.047746x1.05x1.000000x1.000000x1.669%1.67%1.593%1.59%18-1.093856x-1.093856x1.09x1.000000x1.000000x2.410%2.41%2.203%2.20%19-1.560976x-1.560976x1.56x1.000000x1.000000x1.346%1.35%0.862%0.86%20-1.790102x-1.790102x1.79x1.000000x1.000000x2.598%2.60%1.451%1.45%21-1.977600x-1.977600x1.98x1.000000x1.000000x2.240%2.24%1.133%1.13%22-2.368943x-2.368943x2.37x1.000000x1.000000x1.982%1.98%0.837%0.84%23-3.028351x-3.028351x3.03x1.000000x1.000000x2.577%2.58%0.851%0.85%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.935%0.93%0.000%0%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.227%1.23%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.824%1.82%0.000%0%27
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 27 by male-to-female sex ratio

Educational Attainment by County in the Utica Area

There are 2 counties in the Utica Area. This section compares Oneida County to all of the counties in the Utica Area and to those entities that contain or substantially overlap with Oneida County.

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 Oneida County, selected other counties in the Utica Area, and entities that contain Oneida County
0%5%10%Count#New YorkUnited States of AmericaUnited StatesMiddle AtlanticOneida CountyOneidaNortheastUtica and Rome Metro AreaUtica AreaHerkimer CountyHerkimer14.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.878384%11.878384%11.9%18,99919.0k111.614335%11.614335%11.6%4,487,0854.49M11.437233%11.437233%11.4%23,35323.4k9.842217%9.842217%9.8%4,3542
Count number of people in category
# rank of county out of 2 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 Oneida County, selected other counties in the Utica Area, and entities that contain Oneida County
0%10%20%30%Count#NortheastNew YorkMiddle AtlanticUnited States of AmericaUnited StatesOneida CountyOneidaUtica and Rome Metro AreaUtica AreaHerkimer CountyHerkimer34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M30.315023%30.315023%30.3%64,767,78764.8M23.787403%23.787403%23.8%38,04738.0k123.298104%23.298104%23.3%47,57147.6k21.529002%21.529002%21.5%9,5242
Count number of people in category
# rank of county out of 2 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 Oneida County, selected other counties in the Utica Area, and entities that contain Oneida County
0%1%2%3%4%Count#New YorkNortheastMiddle AtlanticUnited States of AmericaUnited StatesOneida CountyOneidaUtica and Rome Metro AreaUtica AreaHerkimer CountyHerkimer4.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M2.301402%2.301402%2.3%3,68112.120636%2.120636%2.1%4,3301.467065%1.467065%1.5%6492
Count number of people in category
# rank of county out of 2 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 Oneida County, selected other counties in the Utica Area, and entities that contain Oneida County
Female
Male
1.0x0.5x0.0x0.5x1.0xFM#OneidaUtica AreaUnited StatesNortheastMiddle AtlanticHerkimerNew York-1.000000x-1.000000x1.202089x1.202089x1.20x10.808%10.8%12.993%13.0%1-1.000000x-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-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-1.000000x1.058347x1.058347x1.06x9.571%9.57%10.129%10.1%2-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%
F percentage of females in category
M percentage of males in category
# rank of county out of 2 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 Oneida County, selected other counties in the Utica Area, and entities that contain Oneida County
Female
Male
1x0x1x2xFM#OneidaUtica AreaHerkimerUnited StatesMiddle AtlanticNortheastNew York-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%1-1.000000x-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-1.000000x-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%2-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%
F percentage of females in category
M percentage of males in category
# rank of county out of 2 by male-to-female sex ratio

Educational Attainment by County in New York

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

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 Oneida County, selected other counties in New York, and entities that contain Oneida 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 CountyWashingtonUtica and Rome Metro AreaUtica AreaRichmond CountyRichmondColumbia CountyColumbiaLivingston CountyLivingstonOrange CountyOrangeSteuben CountySteubenWayne CountyWayneSuffolk CountySuffolkUlster CountyUlsterDutchess CountyDutchessHerkimer CountyHerkimerJefferson CountyJeffersonBroome CountyBroomeChemung CountyChemungSchenectady CountySchenectadyTioga CountyTiogaMonroe CountyMonroeMadison CountyMadisonCortland CountyCortlandOtsego CountyOtsegoOnondaga CountyOnondagaErie CountyErieNiagara CountyNiagaraNassau CountyNassauGenesee CountyGeneseeWarren CountyWarrenRensselaer CountyRensselaerOntario CountyOntarioPutnam CountyPutnamAlbany CountyAlbanySaratoga CountySaratogaTompkins CountyTompkins28.837398%28.837398%28.8%261,022261k120.017506%20.017506%20.0%351,046351k219.344706%19.344706%19.3%315,505316k315.512660%15.512660%15.5%5,312414.641301%14.641301%14.6%5,241514.076424%14.076424%14.1%1,900,8921.90M13.826858%13.826858%13.8%7,331613.622616%13.622616%13.6%7,522713.459931%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%5,1401911.437233%11.437233%11.4%23,35323.4k11.118888%11.118888%11.1%36,06336.1k2011.086571%11.086571%11.1%5,0702111.041505%11.041505%11.0%4,7062210.585415%10.585415%10.6%25,21725.2k2310.393756%10.393756%10.4%7,0982410.019720%10.019720%10.0%6,402259.992975%9.992975%10.0%102,414102k269.915901%9.915901%9.9%12,79312.8k279.865951%9.865951%9.9%19,99720.0k289.842217%9.842217%9.8%4,354299.812463%9.812463%9.8%7,231309.796456%9.796456%9.8%12,78812.8k319.786515%9.786515%9.8%5,909329.769541%9.769541%9.8%10,36910.4k339.753866%9.753866%9.8%3,412349.616412%9.616412%9.6%48,77848.8k359.612234%9.612234%9.6%4,576369.569456%9.569456%9.6%2,925379.526198%9.526198%9.5%3,798389.466571%9.466571%9.5%29,82529.8k399.158043%9.158043%9.2%58,41058.4k409.123949%9.123949%9.1%13,70713.7k419.121758%9.121758%9.1%85,26785.3k429.068976%9.068976%9.1%3,759438.836121%8.836121%8.8%4,190448.667169%8.667169%8.7%9,539457.365555%7.365555%7.4%5,599467.314137%7.314137%7.3%5,103477.294501%7.294501%7.3%14,88114.9k485.966083%5.966083%6.0%9,439495.495592%5.495592%5.5%3,27950
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Oneida County, selected other counties in New York, and entities that contain Oneida County
0%10%20%30%40%50%60%Count#New York CountyNew YorkTompkins CountyTompkinsWestchester CountyWestchesterNassau CountyNassauRockland CountyRocklandAlbany CountyAlbanySaratoga CountySaratogaPutnam CountyPutnamMonroe CountyMonroeNortheastNew YorkSuffolk CountySuffolkOnondaga CountyOnondagaKings CountyKingsDutchess CountyDutchessMiddle AtlanticErie CountyErieOntario CountyOntarioRichmond CountyRichmondUlster CountyUlsterQueens CountyQueensSchenectady CountySchenectadyUnited States of AmericaUnited StatesColumbia CountyColumbiaRensselaer CountyRensselaerOrange CountyOrangeOtsego CountyOtsegoWarren CountyWarrenBroome CountyBroomeMadison CountyMadisonTioga CountyTiogaCortland CountyCortlandLivingston CountyLivingstonChemung CountyChemungOneida CountyOneidaNiagara CountyNiagaraUtica and Rome Metro AreaUtica AreaSt. 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%39,95740.0k1730.595789%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%35,29635.3k3223.298104%23.298104%23.3%47,57147.6k22.772071%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#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 Oneida County, selected other counties in New York, and entities that contain Oneida County
0%5%10%Count#Tompkins CountyTompkinsNew York CountyNew YorkWestchester CountyWestchesterNassau CountyNassauAlbany CountyAlbanyRockland CountyRocklandNew YorkOtsego CountyOtsegoMonroe CountyMonroeOnondaga CountyOnondagaNortheastSuffolk CountySuffolkMiddle AtlanticSaratoga CountySaratogaErie CountyErieDutchess CountyDutchessPutnam CountyPutnamKings CountyKingsUnited States of AmericaUnited StatesColumbia CountyColumbiaOntario CountyOntarioRensselaer CountyRensselaerSchenectady CountySchenectadyUlster CountyUlsterBroome CountyBroomeRichmond CountyRichmondMadison CountyMadisonSt. Lawrence CountySt. LawrenceWarren CountyWarrenQueens CountyQueensLivingston CountyLivingstonOrange CountyOrangeClinton CountyClintonCortland CountyCortlandOneida CountyOneidaSullivan CountySullivanSteuben CountySteubenUtica and Rome Metro AreaUtica AreaChemung CountyChemungJefferson CountyJeffersonFranklin CountyFranklinChautauqua CountyChautauquaCayuga CountyCayugaBronx CountyBronxNiagara CountyNiagaraTioga CountyTiogaGenesee CountyGeneseeWashington CountyWashingtonHerkimer CountyHerkimerWayne CountyWayneChenango CountyChenangoMontgomery CountyMontgomeryOswego CountyOswegoCattaraugus CountyCattaraugusFulton CountyFulton12.367177%12.367177%12.4%7,379110.788423%10.788423%10.8%133,520134k27.604460%7.604460%7.6%50,28750.3k35.833659%5.833659%5.8%54,53154.5k45.550409%5.550409%5.6%11,32311.3k54.542163%4.542163%4.5%9,22064.230387%4.230387%4.2%571,275571k4.211292%4.211292%4.2%1,67974.201981%4.201981%4.2%21,31421.3k84.157356%4.157356%4.2%13,09813.1k94.085016%4.085016%4.1%1,578,2061.58M3.962200%3.962200%4.0%40,60740.6k103.884861%3.884861%3.9%1,105,8831.11M3.849922%3.849922%3.8%6,091113.688617%3.688617%3.7%23,52623.5k123.625788%3.625788%3.6%7,349133.518755%3.518755%3.5%2,455143.384967%3.384967%3.4%59,36259.4k153.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,521163.295359%3.295359%3.3%2,505173.277333%3.277333%3.3%3,607183.269390%3.269390%3.3%3,470193.219006%3.219006%3.2%4,153203.112527%3.112527%3.1%4,063213.037245%3.037245%3.0%9,851223.003823%3.003823%3.0%1,430232.953937%2.953937%3.0%2,131242.777368%2.777368%2.8%1,317252.756960%2.756960%2.8%44,96545.0k262.702893%2.702893%2.7%1,152272.566912%2.566912%2.6%6,115282.463010%2.463010%2.5%1,360292.385003%2.385003%2.4%729302.301402%2.301402%2.3%3,681312.242550%2.242550%2.2%1,189322.197947%2.197947%2.2%1,501332.120636%2.120636%2.1%4,3302.085162%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#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 Oneida County, selected other counties in New York, and entities that contain Oneida County
Female
Male
1x0x1xFM#FranklinCayugaWashingtonWarrenColumbiaFultonPutnamOntarioTiogaOtsegoCortlandChemungSullivanChenangoChautauquaClintonTompkinsJeffersonOswegoSt. LawrenceWayneSteubenRensselaerMontgomeryUlsterSchenectadyCattaraugusMadisonSaratogaGeneseeOneidaLivingstonUtica AreaDutchessWestchesterSuffolkNiagaraUnited StatesRocklandOnondagaNortheastNassauMiddle AtlanticHerkimerNew YorkOrangeMonroeBronxKingsRichmondErieAlbanyQueensNew YorkBroome-1.000000x-1.000000x1.676618x1.676618x1.68x10.704%10.7%17.947%17.9%1-1.000000x-1.000000x1.661763x1.661763x1.66x9.264%9.26%15.394%15.4%2-1.000000x-1.000000x1.612603x1.612603x1.61x8.744%8.74%14.101%14.1%3-1.000000x-1.000000x1.493910x1.493910x1.49x7.139%7.14%10.665%10.7%4-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%5-1.000000x-1.000000x1.478916x1.478916x1.48x10.782%10.8%15.946%15.9%6-1.000000x-1.000000x1.476936x1.476936x1.48x5.930%5.93%8.759%8.76%7-1.000000x-1.000000x1.448610x1.448610x1.45x6.059%6.06%8.778%8.78%8-1.000000x-1.000000x1.404241x1.404241x1.40x8.150%8.15%11.445%11.4%9-1.000000x-1.000000x1.392068x1.392068x1.39x8.007%8.01%11.147%11.1%10-1.000000x-1.000000x1.366830x1.366830x1.37x8.120%8.12%11.098%11.1%11-1.000000x-1.000000x1.366459x1.366459x1.37x8.295%8.29%11.334%11.3%12-1.000000x-1.000000x1.357710x1.357710x1.36x11.703%11.7%15.889%15.9%13-1.000000x-1.000000x1.349435x1.349435x1.35x11.170%11.2%15.073%15.1%14-1.000000x-1.000000x1.332333x1.332333x1.33x10.159%10.2%13.535%13.5%15-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%16-1.000000x-1.000000x1.301060x1.301060x1.30x4.804%4.80%6.250%6.25%17-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%18-1.000000x-1.000000x1.282344x1.282344x1.28x11.809%11.8%15.144%15.1%19-1.000000x-1.000000x1.277028x1.277028x1.28x10.416%10.4%13.302%13.3%20-1.000000x-1.000000x1.268662x1.268662x1.27x8.854%8.85%11.233%11.2%21-1.000000x-1.000000x1.264635x1.264635x1.26x9.196%9.20%11.630%11.6%22-1.000000x-1.000000x1.263722x1.263722x1.26x7.697%7.70%9.727%9.73%23-1.000000x-1.000000x1.262621x1.262621x1.26x13.769%13.8%17.386%17.4%24-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%25-1.000000x-1.000000x1.243622x1.243622x1.24x8.756%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-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-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#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 Oneida County, selected other counties in New York, and entities that contain Oneida County
Female
Male
1x0x1x2xFM#NiagaraWarrenChemungChautauquaSteubenOneidaCattaraugusUtica AreaBroomeFranklinSaratogaFultonSt. LawrenceChenangoErieSchenectadyDutchessOtsegoSuffolkMadisonWestchesterAlbanyNassauHerkimerMonroeClintonRocklandSullivanOnondagaTompkinsUnited StatesOswegoColumbiaMiddle AtlanticNortheastPutnamCayugaNew YorkRensselaerLivingstonWayneQueensOntarioKingsGeneseeCortlandNew YorkRichmondUlsterBronxOrangeTiogaWashingtonJeffersonMontgomery-1.000000x-1.000000x2.623417x2.623417x2.62x0.933%0.93%2.448%2.45%1-1.000000x-1.000000x2.309887x2.309887x2.31x1.703%1.70%3.935%3.93%2-1.000000x-1.000000x2.269046x2.269046x2.27x1.285%1.28%2.915%2.92%3-1.000000x-1.000000x2.184543x2.184543x2.18x1.172%1.17%2.560%2.56%4-1.000000x-1.000000x2.072852x2.072852x2.07x1.439%1.44%2.982%2.98%5-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%6-1.000000x-1.000000x2.040766x2.040766x2.04x0.827%0.83%1.687%1.69%7-1.000000x-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-1.000000x-1.000000x1.874729x1.874729x1.87x2.193%2.19%4.112%4.11%8-1.000000x-1.000000x1.828162x1.828162x1.83x1.279%1.28%2.338%2.34%9-1.000000x-1.000000x1.825162x1.825162x1.83x2.748%2.75%5.015%5.02%10-1.000000x-1.000000x1.789442x1.789442x1.79x0.696%0.70%1.245%1.25%11-1.000000x-1.000000x1.720279x1.720279x1.72x2.168%2.17%3.730%3.73%12-1.000000x-1.000000x1.688019x1.688019x1.69x0.996%1.00%1.682%1.68%13-1.000000x-1.000000x1.678671x1.678671x1.68x2.792%2.79%4.687%4.69%14-1.000000x-1.000000x1.661166x1.661166x1.66x2.488%2.49%4.133%4.13%15-1.000000x-1.000000x1.644543x1.644543x1.64x2.753%2.75%4.527%4.53%16-1.000000x-1.000000x1.631087x1.631087x1.63x3.226%3.23%5.262%5.26%17-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%18-1.000000x-1.000000x1.619958x1.619958x1.62x2.309%2.31%3.741%3.74%19-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%20-1.000000x-1.000000x1.595049x1.595049x1.60x4.329%4.33%6.905%6.91%21-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%22-1.000000x-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%23-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%24-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%25-1.000000x-1.000000x1.553427x1.553427x1.55x3.593%3.59%5.581%5.58%26-1.000000x-1.000000x1.543599x1.543599x1.54x1.758%1.76%2.713%2.71%27-1.000000x-1.000000x1.532394x1.532394x1.53x3.321%3.32%5.090%5.09%28-1.000000x-1.000000x1.530493x1.530493x1.53x9.865%9.87%15.099%15.1%29-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519403x1.519403x1.52x1.035%1.04%1.573%1.57%30-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%31-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.478281x1.478281x1.48x2.851%2.85%4.215%4.22%32-1.000000x-1.000000x1.439375x1.439375x1.44x1.445%1.44%2.080%2.08%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.395730x1.395730x1.40x2.756%2.76%3.847%3.85%34-1.000000x-1.000000x1.390949x1.390949x1.39x2.257%2.26%3.140%3.14%35-1.000000x-1.000000x1.314960x1.314960x1.31x1.203%1.20%1.581%1.58%36-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%37-1.000000x-1.000000x1.271962x1.271962x1.27x2.915%2.91%3.707%3.71%38-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%39-1.000000x-1.000000x1.261523x1.261523x1.26x1.368%1.37%1.725%1.73%40-1.000000x-1.000000x1.254260x1.254260x1.25x2.122%2.12%2.662%2.66%41-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%42-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%43-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.187784x1.187784x1.19x2.353%2.35%2.795%2.80%46-1.000000x-1.000000x1.095052x1.095052x1.10x1.577%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 Oneida County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Oneida County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Oneida County, selected other counties in the United States, and entities that contain Oneida 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 BeachOneida CountyOneidaTravis CountyTravisBroward CountyBrowardNortheastCuyahoga CountyCuyahogaUtica and Rome Metro AreaUtica AreaContra Costa CountyContra CostaMecklenburg CountyMecklenburgSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1714.076424%14.076424%14.1%1,900,8921.90M13.598133%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%122,162122k2911.878384%11.878384%11.9%18,99919.0k11.841956%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%100,034100k3211.437233%11.437233%11.4%23,35323.4k10.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Oneida County, selected other counties in the United States, and entities that contain Oneida County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookNortheastNew YorkSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsMiddle AtlanticHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaOneida CountyOneidaUtica and Rome Metro AreaUtica AreaClark 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%404,554405k3130.968863%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%272,786273k4423.787403%23.787403%23.8%38,04738.0k23.298104%23.298104%23.3%47,57147.6k22.823853%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#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Oneida County, selected other counties in the United States, and entities that contain Oneida County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookNew YorkCuyahoga CountyCuyahogaPima CountyPimaNortheastHonolulu CountyHonoluluSuffolk CountySuffolkMiddle AtlanticMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeBexar CountyBexarQueens CountyQueensFresno CountyFresnoTarrant CountyTarrantClark CountyClarkOneida CountyOneidaRiverside CountyRiversideWayne CountyWayneUtica and Rome Metro AreaUtica AreaSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.230387%4.230387%4.2%571,275571k4.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k254.085016%4.085016%4.1%1,578,2061.58M3.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.884861%3.884861%3.9%1,105,8831.11M3.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.301402%2.301402%2.3%3,6812.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k482.120636%2.120636%2.1%4,3301.852789%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#65

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 Oneida County, selected other counties in the United States, and entities that contain Oneida County
Female
Male
1x0x1xFM#MecklenburgPalm BeachOneidaWakeUtica AreaWestchesterFairfieldContra 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-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.202089x1.202089x1.20x10.808%10.8%12.993%13.0%-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-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#66

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 Oneida County, selected other counties in the United States, and entities that contain Oneida County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeOneidaUtica AreaSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonMiddle AtlanticContra CostaMilwaukeeSan DiegoNortheastOrangeFresnoHillsboroughHarrisNew YorkMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%-1.000000x-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

More Maps to Explore

Principal Cities:
Utica, Rome
Cities:
Rome, Sherrill, Utica
Towns:
Annsville, Augusta, Ava, Boonville, Bridgewater, Camden, Deerfield, Florence, Floyd, Forestport, Kirkland, Lee, Marcy, Marshall, New Hartford, Paris, Remsen, Sangerfield, Steuben, Trenton, Vernon, Verona, Vienna, Western, Westmoreland, Whitestown
Unincorporated Places:
Bridgewater, Chadwicks, Clark Mills, Durhamville, Prospect, Verona, Washington Mills, Westmoreland
Villages:
Barneveld, Boonville, Camden, Clayville, Clinton, Holland Patent, New Hartford, New York Mills, Oneida Castle, Oriskany, Oriskany Falls, Remsen, Sylvan Beach, Vernon, Waterville, Whitesboro, Yorkville
ZIP Codes:
13032, 13042, 13054, 13123, 13157, 13162, 13301, 13303, 13304, 13308, 13309, 13313, 13316, 13318, 13319, 13321, 13322, 13323, 13328, 13338, 13341, 13352, 13354, 13362, 13363, 13402, 13403, 13413, 13417, 13421, 13424, 13425, 13431, 13435, 13438, 13440, 13441, 13456, 13461, 13469, 13471, 13476, 13477, 13478, 13480, 13483, 13486, 13489, 13490, 13492, 13494, 13495, 13501, 13502
Unified School Districts:
Adirondack, Brookfield, Camden, Central Square, Clinton, Holland Patent, Madison, Mount Markham, New Hartford, New York Mills, Oneida, Oriskany, Poland, Remsen, Rome, Sauquoit Valley, Sherrill, Stockbridge Valley, Town of Webb, Utica, Waterville, West Canada Valley, Westmoreland, Whitesboro
Congressional District:
NY-22
State Senate Districts:
NY-47, NY-53
Assembly Districts:
NY-101, NY-117, NY-118, NY-119, NY-121
Neighboring Counties:
Herkimer, Lewis, Madison, Oswego, Otsego
Nearby Counties:
Chenango, Cortland, Jefferson, Onondaga