Educational Attainment in the Town of Ohio, Herkimer County, New York (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Herkimer County and the Town of Ohio
Town of Ohio
Herkimer County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma224.498567%35.894480%24.498567%24.5%17166.475645%54.263303%66.475645%66.5%4649.025788%9.842217%9.025788%9.0%63
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 Herkimer County at large.
Scope: population of Herkimer County and the Town of Ohio
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-31.748371%-31.748371%-31.7%24.499%24.5%35.894%35.9%22.505710%22.505710%+22.5%66.476%66.5%54.263%54.3%-8.295175%-8.295175%-8.3%9.026%9.03%9.842%9.84%
% percentage with given level in the Town of Ohio
ref. percentage with given level in Herkimer 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 Herkimer County and the Town of Ohio
Town of Ohio
Herkimer County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.501831%00.859599%0.965234%0.859599%0.9%65.587393%7.441566%5.587393%5.6%397.163324%12.620372%7.163324%7.2%5010.888252%14.365478%10.888252%10.9%7622.349570%18.820923%22.349570%22.3%15644.126074%35.442380%44.126074%44.1%3085.014327%6.451467%5.014327%5.0%353.008596%2.255979%3.008596%3.0%211.002865%1.134771%1.002865%1.0%7
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 Herkimer County at large.
Scope: population of Herkimer County and the Town of Ohio
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.502%0.50%-10.943948%-10.943948%-10.9%0.860%0.86%0.965%0.97%-24.916442%-24.916442%-24.9%5.587%5.59%7.442%7.44%-43.239993%-43.239993%-43.2%7.163%7.16%12.620%12.6%-24.205429%-24.205429%-24.2%10.888%10.9%14.365%14.4%18.748533%18.748533%+18.7%22.350%22.3%18.821%18.8%24.500879%24.500879%+24.5%44.126%44.1%35.442%35.4%-22.276180%-22.276180%-22.3%5.014%5.01%6.451%6.45%33.360991%33.360991%+33.4%3.009%3.01%2.256%2.26%-11.623991%-11.623991%-11.6%1.003%1.00%1.135%1.13%
% percentage with given level in the Town of Ohio
ref. percentage with given level in Herkimer 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 Herkimer County and the Town of Ohio
More Females More Males
Herkimer County
Town of Ohio
50%0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-75.855946%-19.788716%-75.855946%76%31.889%31.9%18.133%18.1%10.742857%11.455955%10.742857%11%62.848%62.8%69.600%69.6%133.066667%5.834729%133.066667%133%5.263%5.26%12.267%12.3%
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 Herkimer County and the Town of Ohio
More Females More Males
Herkimer County
Town of Ohio
0%500%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-132.198142%-132.198142%132%64.772632%1.238%1.24%0.533%0.53%-195.524909%-42.233769%-195.524909%196%8.669%8.67%2.933%2.93%145.148718%1.562706%145.148718%145%4.025%4.02%9.867%9.87%-274.097007%-39.521055%-274.097007%274%17.957%18.0%4.800%4.80%-4.475699%11.466667%11.466667%11%21.053%21.1%23.467%23.5%10.378272%20.856899%10.378272%10%41.796%41.8%46.133%46.1%65.088889%9.609149%65.088889%65%3.715%3.72%6.133%6.13%-8.304388%718.266667%718.266667%718%0.619%0.62%5.067%5.07%14.844444%13.706734%14.844444%15%0.929%0.93%1.067%1.07%
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 Herkimer County and the Town of Ohio
Town of Ohio
Herkimer County
0%5%10%15%20%B.X.Total65+45-6435-4425-344.891304%10.247172%4.891304%4.9%91846.393862%12.848950%6.393862%6.4%2539123.333333%14.770943%23.333333%23.3%14603.174603%13.945978%3.174603%3.2%263
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 Herkimer County at large.
Scope: population of Herkimer County and the Town of Ohio
60%40%20%0%20%40%%ref.65+45-6435-4425-34-52.266789%-52.266789%52.3%4.891%4.89%10.247%10.2%-50.238255%-50.238255%50.2%6.394%6.39%12.849%12.8%57.967794%57.967794%58.0%23.333%23.3%14.771%14.8%-77.236424%-77.236424%77.2%3.175%3.17%13.946%13.9%
% percentage in the Town of Ohio with a Bachelor's degree
ref percentage in Herkimer 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 Herkimer County and the Town of Ohio
More Females More Males
Herkimer County
Town of Ohio
0%500%1,000%FM65+45-6435-4425-34119.911504%40.557614%119.911504%119.9%2.817%2.82%6.195%6.19%381.250000%24.898562%381.250000%381.3%2.139%2.14%10.294%10.3%-30.769231%-17.891901%-30.769231%30.8%26.923%26.9%20.588%20.6%-126.460481%1,000.000000%1,000.000000%> 1000%0.000%0%8.333%8.33%
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 Herkimer County and the Town of Ohio
Town of Ohio
Herkimer County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$61,250.000000$50,984.000000$61,250.000000$61.3k456.447%6.45%$54,063.000000$44,075.000000$54,063.000000$54.1k507.163%7.16%$20,341.000000$31,059.000000$20,341.000000$20.3k23233.238%33.2%$21,154.000000$30,117.000000$21,154.000000$21.2k30844.126%44.1%$25,536.000000$33,541.000000$25,536.000000$25.5k698100.000%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 Herkimer County and the Town of Ohio
Female Male
Herkimer County
Town of Ohio
Shaded bar tips show excess over facing bar.
$20k$0k$20kFMH.S. Diploma2Total$-17,875.000000$-22,109.000000$-17,875.000000$17.9k$17,875.000000$13,844.000000$22,109.000000$12,218.000000$31,719.000000$31.7k135173$-21,528.000000$-29,258.000000$-21,528.000000$21.5k$21,528.000000$9,236.000000$29,258.000000$8,168.000000$30,764.000000$30.8k323375
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 Herkimer County and the Town of Ohio
Town of Ohio
Herkimer County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma368.918919%83.348837%68.918919%68.9%5157.222222%75.320210%57.222222%57.2%10346.753247%68.777642%46.753247%46.8%10810.344828%48.054011%10.344828%10.3%3
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 Herkimer County and the Town of Ohio
Female Male
Herkimer County
Town of Ohio
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%40%50%MFWhite1Other1-5.345912%-9.219408%-5.345912%5.3%5.345912%6.385932%9.219408%0.740827%11.731844%11.7%4217-0.000000%-21.621622%0.000000%0.0%0.000000%57.142857%21.621622%0.817403%57.142857%57.1%40
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 Herkimer County and the Town of Ohio
Female Male
Herkimer County
Town of Ohio
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%40%MFWhite1Other1-12.569832%-1.581111%-20.538495%-1.597146%-14.150943%14.2%12.569832%20.538495%12.569832%12.6%4545-0.000000%-18.536585%-3.471137%0.000000%0.0%0.000000%42.857143%18.536585%42.857143%42.9%30
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 the Town of Ohio

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

Percentage of the population 25 years and older with given highest level of educational attainment
36.9%38.1%39.3%40.5%41.7%42.9%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
51.9%52.9%53.8%54.7%55.6%56.5%

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
5.14%5.42%5.71%5.99%6.28%6.56%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.000%0.018%0.036%0.054%0.072%0.090%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.980%2.013%2.046%2.080%2.113%2.146%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%7.3%8.3%9.4%10.4%11.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
17.61%17.91%18.22%18.52%18.82%19.13%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.59%9.98%10.37%10.76%11.14%11.54%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
18.5%19.1%19.6%20.2%20.7%21.3%

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
33.43%33.80%34.17%34.54%34.91%35.28%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.48%3.63%3.78%3.92%4.06%4.21%

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
1.38%1.48%1.57%1.67%1.76%1.86%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.268%0.314%0.359%0.404%0.450%0.496%
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Educational Attainment by County Subdivision in the Utica Area

There are 49 county subdivisions in the Utica Area. This section compares the Town of Ohio to all of the county subdivisions in the Utica Area and to those entities that contain or substantially overlap with the Town of Ohio.

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 the Town of Ohio, selected other county subdivisions in the Utica Area, and entities that contain the Town of Ohio
0%5%10%15%20%Count#Town of SalisburySalisburyUticaTown of MarcyTown of FlorenceFlorenceTown of ViennaViennaTown of AnnsvilleAnnsvilleNew YorkTown of ManheimManheimTown of Little FallsLittle FallsUnited States of AmericaUnited StatesMiddle AtlanticTown of AvaTown of StarkRomeTown of CamdenCamdenNortheastUtica and Rome Metro AreaUtica AreaTown of NewportNewportLittle FallsTown of BridgewaterBridgewaterTown of NorwayNorwayTown of SchuylerSchuylerTown of MarshallMarshallTown of FairfieldFairfieldTown of HerkimerHerkimerHerkimer CountyHerkimerTown of WinfieldWinfieldTown of SangerfieldSangerfieldTown of VeronaVeronaTown of ColumbiaColumbiaTown of OhioTown of BoonvilleBoonvilleSherrillTown of WestmorelandWestmorelandTown of VernonVernonTown of WarrenWarrenTown of German FlattsGerman FlattsTown of LeeTown of FrankfortFrankfortTown of AugustaAugustaTown of DanubeDanubeTown of ForestportForestportTown of WesternWTown of RemsenRemsenTown of WhitestownWhitestownTown of SteubenSteubenTown of LitchfieldLitchfieldTown of WebbTown of DeerfieldDeerfieldTown of TrentonTrentonTown of New HartfordNew HartfordTown of ParisTown of KirklandKirklandTown of FloydTown of RussiaRussia24.238227%24.238227%24.2%350120.612611%20.612611%20.6%7,934218.268373%18.268373%18.3%1,228317.343750%17.343750%17.3%111415.194252%15.194252%15.2%571514.826498%14.826498%14.8%282614.076424%14.076424%14.1%1,900,8921.90M13.943856%13.943856%13.9%303713.274336%13.274336%13.3%150813.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M12.158809%12.158809%12.2%49912.147887%12.147887%12.1%691012.019231%12.019231%12.0%2,8001111.794415%11.794415%11.8%3971211.614335%11.614335%11.6%4,487,0854.49M11.437233%11.437233%11.4%23,35323.4k11.238223%11.238223%11.2%1671311.189034%11.189034%11.2%3511410.729614%10.729614%10.7%1001510.685805%10.685805%10.7%671610.679230%10.679230%10.7%2721710.347271%10.347271%10.3%1461810.190476%10.190476%10.2%107199.981383%9.981383%10.0%697209.842217%9.842217%9.8%4,3549.757785%9.757785%9.8%141219.645233%9.645233%9.6%174229.171117%9.171117%9.2%395239.049774%9.049774%9.0%100249.025788%9.025788%9.0%63259.010712%9.010712%9.0%286268.777429%8.777429%8.8%196278.683603%8.683603%8.7%376288.543638%8.543638%8.5%325298.504801%8.504801%8.5%62308.376127%8.376127%8.4%734318.331580%8.331580%8.3%396328.052469%8.052469%8.1%442337.974277%7.974277%8.0%124347.920792%7.920792%7.9%56357.562349%7.562349%7.6%94367.412224%7.412224%7.4%114377.057057%7.057057%7.1%94387.043184%7.043184%7.0%959396.993007%6.993007%7.0%60406.487026%6.487026%6.5%65416.245353%6.245353%6.2%84426.175367%6.175367%6.2%181435.268109%5.268109%5.3%168445.214118%5.214118%5.2%845455.151915%5.151915%5.2%156465.003127%5.003127%5.0%320474.325513%4.325513%4.3%118484.088398%4.088398%4.1%7449
Count number of people in category
# rank of county subdivision out of 49 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 the Town of Ohio, selected other county subdivisions in the Utica Area, and entities that contain the Town of Ohio
0%10%20%30%40%Count#Town of KirklandKirklandTown of New HartfordNew HartfordTown of TrentonTrentonTown of RussiaRussiaNortheastNew YorkMiddle AtlanticTown of DeerfieldDeerfieldSherrillTown of WebbUnited States of AmericaUnited StatesTown of ParisTown of LitchfieldLitchfieldTown of WhitestownWhitestownTown of MarshallMarshallTown of MarcyTown of FloydTown of WestmorelandWestmorelandTown of LeeTown of German FlattsGerman FlattsTown of ForestportForestportTown of SangerfieldSangerfieldUtica and Rome Metro AreaUtica AreaLittle FallsTown of FrankfortFrankfortTown of WesternWHerkimer CountyHerkimerTown of HerkimerHerkimerTown of WinfieldWinfieldTown of WarrenWarrenTown of FairfieldFairfieldRomeTown of StarkTown of CamdenCamdenTown of RemsenRemsenTown of AugustaAugustaTown of DanubeDanubeTown of ManheimManheimTown of VernonVernonTown of Little FallsLittle FallsTown of SteubenSteubenUticaTown of BoonvilleBoonvilleTown of NorwayNorwayTown of SchuylerSchuylerTown of NewportNewportTown of ColumbiaColumbiaTown of OhioTown of BridgewaterBridgewaterTown of VeronaVeronaTown of AvaTown of ViennaViennaTown of AnnsvilleAnnsvilleTown of FlorenceFlorenceTown of SalisburySalisbury42.682927%42.682927%42.7%2,730140.466494%40.466494%40.5%6,558235.559737%35.559737%35.6%1,134335.359116%35.359116%35.4%640434.780899%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%948531.124048%31.124048%31.1%695630.334572%30.334572%30.3%408730.315023%30.315023%30.3%64,767,78764.8M29.392338%29.392338%29.4%890829.041916%29.041916%29.0%291927.761457%27.761457%27.8%3,7801027.285613%27.285613%27.3%3851125.870277%25.870277%25.9%1,7391224.926686%24.926686%24.9%6801324.780600%24.780600%24.8%1,0731424.447717%24.447717%24.4%1,1621524.238275%24.238275%24.2%2,1241623.813355%23.813355%23.8%2961723.558758%23.558758%23.6%4251823.298104%23.298104%23.3%47,57147.6k22.983742%22.983742%23.0%7211922.699945%22.699945%22.7%1,2462022.691808%22.691808%22.7%3492121.529002%21.529002%21.5%9,52421.423457%21.423457%21.4%1,4962220.553633%20.553633%20.6%2972320.301783%20.301783%20.3%1482420.190476%20.190476%20.2%2122519.805975%19.805975%19.8%4,6142619.542254%19.542254%19.5%1112719.281046%19.281046%19.3%6492818.843844%18.843844%18.8%2512918.842444%18.842444%18.8%2933018.670438%18.670438%18.7%1323118.591809%18.591809%18.6%4043218.401682%18.401682%18.4%7003317.699115%17.699115%17.7%2003417.132867%17.132867%17.1%1473517.120885%17.120885%17.1%6,5903616.918715%16.918715%16.9%5373716.108453%16.108453%16.1%1013815.901060%15.901060%15.9%4053915.275908%15.275908%15.3%2274014.570136%14.570136%14.6%1614113.610315%13.610315%13.6%954213.412017%13.412017%13.4%1254313.327142%13.327142%13.3%5744412.158809%12.158809%12.2%494510.910059%10.910059%10.9%4104610.725552%10.725552%10.7%204479.375000%9.375000%9.4%60487.271468%7.271468%7.3%10549
Count number of people in category
# rank of county subdivision out of 49 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 the Town of Ohio, selected other county subdivisions in the Utica Area, and entities that contain the Town of Ohio
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 RussiaRussiaTown of BoonvilleBoonvilleTown of FrankfortFrankfortTown of WebbTown of MarcyUtica and Rome Metro AreaUtica AreaTown of WestmorelandWestmorelandTown of WhitestownWhitestownTown of ParisTown of DeerfieldDeerfieldTown of HerkimerHerkimerTown of ForestportForestportTown of CamdenCamdenTown of SteubenSteubenLittle FallsRomeUticaTown of SchuylerSchuylerHerkimer CountyHerkimerTown of ColumbiaColumbiaTown of NewportNewportTown of BridgewaterBridgewaterTown of VeronaVeronaTown of German FlattsGerman FlattsTown of NorwayNorwayTown of Little FallsLittle FallsSherrillTown of FairfieldFairfieldTown of WinfieldWinfieldTown of AnnsvilleAnnsvilleTown of OhioTown of ManheimManheimTown of RemsenRemsenTown of SangerfieldSangerfieldTown of VernonVernonTown of LitchfieldLitchfieldTown of ViennaViennaTown of FloydTown of LeeTown of AugustaAugustaTown of StarkTown of SalisburySalisburyTown of WarrenWarrenTown of DanubeDanubeTown 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%3752.430939%2.430939%2.4%4462.425961%2.425961%2.4%7772.386591%2.386591%2.4%13182.379182%2.379182%2.4%3292.276108%2.276108%2.3%153102.120636%2.120636%2.1%4,3302.032333%2.032333%2.0%88112.027027%2.027027%2.0%276121.717305%1.717305%1.7%52131.705902%1.705902%1.7%50141.704139%1.704139%1.7%119151.689461%1.689461%1.7%21161.633987%1.633987%1.6%55171.631702%1.631702%1.6%14181.625757%1.625757%1.6%51191.622596%1.622596%1.6%378201.551012%1.551012%1.6%597211.491951%1.491951%1.5%38221.467065%1.467065%1.5%6491.447964%1.447964%1.4%16231.413190%1.413190%1.4%21241.394850%1.394850%1.4%13251.369863%1.369863%1.4%59261.323748%1.323748%1.3%116271.275917%1.275917%1.3%8281.238938%1.238938%1.2%14291.119570%1.119570%1.1%25301.047619%1.047619%1.0%11311.038062%1.038062%1.0%15320.893796%0.893796%0.9%17330.859599%0.859599%0.9%6340.828348%0.828348%0.8%18350.825826%0.825826%0.8%11360.776053%0.776053%0.8%14370.736067%0.736067%0.7%28380.698603%0.698603%0.7%7390.691857%0.691857%0.7%26400.623167%0.623167%0.6%17410.483905%0.483905%0.5%23420.450161%0.450161%0.5%7430.352113%0.352113%0.4%2440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%049
Count number of people in category
# rank of county subdivision out of 49 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 the Town of Ohio, selected other county subdivisions in the Utica Area, and entities that contain the Town of Ohio
Female
Male
1x0x1x2x3xFM#Town of WebbSteubenWTown of MarcyLitchfieldDanubeFlorenceCamdenTown of OhioTrentonWinfieldManheimTown of ParisMarshallFairfieldAugustaNorwayTown of LeeTown of StarkSchuylerSangerfieldBridgewaterNewportTown of FloydViennaVeronaAnnsvilleRomeUtica AreaWhitestownLittle FallsUnited StatesBoonvilleNortheastMiddle AtlanticHerkimerNew YorkKirklandSherrillUticaRussiaGerman FlattsWarrenNew HartfordSalisburyLittle FallsColumbiaRemsenVernonForestportDeerfieldFrankfortTown of AvaWestmorelandHerkimer-1.000000x-1.000000x3.890610x3.890610x3.89x2.710%2.71%10.544%10.5%1-1.000000x-1.000000x3.677369x3.677369x3.68x2.835%2.84%10.426%10.4%2-1.000000x-1.000000x3.239832x3.239832x3.24x3.636%3.64%11.781%11.8%3-1.000000x-1.000000x2.757018x2.757018x2.76x8.541%8.54%23.548%23.5%4-1.000000x-1.000000x2.749290x2.749290x2.75x3.376%3.38%9.280%9.28%5-1.000000x-1.000000x2.475472x2.475472x2.48x4.464%4.46%11.051%11.1%6-1.000000x-1.000000x2.366003x2.366003x2.37x10.398%10.4%24.601%24.6%7-1.000000x-1.000000x2.352302x2.352302x2.35x7.234%7.23%17.017%17.0%8-1.000000x-1.000000x2.330667x2.330667x2.33x5.263%5.26%12.267%12.3%9-1.000000x-1.000000x2.326202x2.326202x2.33x3.159%3.16%7.347%7.35%10-1.000000x-1.000000x2.263352x2.263352x2.26x5.972%5.97%13.517%13.5%11-1.000000x-1.000000x2.004470x2.004470x2.00x9.470%9.47%18.982%19.0%12-1.000000x-1.000000x2.003353x2.003353x2.00x3.448%3.45%6.908%6.91%13-1.000000x-1.000000x1.924479x1.924479x1.92x7.113%7.11%13.689%13.7%14-1.000000x-1.000000x1.899246x1.899246x1.90x6.809%6.81%12.931%12.9%15-1.000000x-1.000000x1.823679x1.823679x1.82x5.593%5.59%10.199%10.2%16-1.000000x-1.000000x1.823649x1.823649x1.82x7.516%7.52%13.707%13.7%17-1.000000x-1.000000x1.799231x1.799231x1.80x6.014%6.01%10.820%10.8%18-1.000000x-1.000000x1.713124x1.713124x1.71x8.997%9.00%15.412%15.4%19-1.000000x-1.000000x1.660193x1.660193x1.66x8.134%8.13%13.505%13.5%20-1.000000x-1.000000x1.537028x1.537028x1.54x7.747%7.75%11.908%11.9%21-1.000000x-1.000000x1.485570x1.485570x1.49x8.590%8.59%12.762%12.8%22-1.000000x-1.000000x1.455120x1.455120x1.46x9.176%9.18%13.351%13.4%23-1.000000x-1.000000x1.454333x1.454333x1.45x3.535%3.54%5.142%5.14%24-1.000000x-1.000000x1.414345x1.414345x1.41x12.567%12.6%17.774%17.8%25-1.000000x-1.000000x1.400045x1.400045x1.40x7.678%7.68%10.750%10.8%26-1.000000x-1.000000x1.395285x1.395285x1.40x12.339%12.3%17.216%17.2%27-1.000000x-1.000000x1.294528x1.294528x1.29x10.447%10.4%13.524%13.5%28-1.000000x-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%29-1.000000x-1.000000x1.125085x1.125085x1.13x12.477%12.5%14.038%14.0%30-1.000000x-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%31-1.000000x-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%-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%32-1.000000x-1.000000x1.028317x1.028317x1.03x8.663%8.66%8.908%8.91%33-1.000000x-1.000000x1.012601x1.012601x1.01x20.491%20.5%20.749%20.7%34-1.055617x-1.055617x1.06x1.000000x1.000000x4.193%4.19%3.972%3.97%35-1.059850x-1.059850x1.06x1.000000x1.000000x8.610%8.61%8.124%8.12%36-1.084972x-1.084972x1.08x1.000000x1.000000x8.831%8.83%8.140%8.14%37-1.110720x-1.110720x1.11x1.000000x1.000000x5.463%5.46%4.918%4.92%38-1.125773x-1.125773x1.13x1.000000x1.000000x25.710%25.7%22.838%22.8%39-1.138065x-1.138065x1.14x1.000000x1.000000x11.911%11.9%10.466%10.5%40-1.175601x-1.175601x1.18x1.000000x1.000000x9.797%9.80%8.333%8.33%41-1.254438x-1.254438x1.25x1.000000x1.000000x7.840%7.84%6.250%6.25%42-1.264183x-1.264183x1.26x1.000000x1.000000x9.502%9.50%7.516%7.52%43-1.278205x-1.278205x1.28x1.000000x1.000000x8.480%8.48%6.634%6.63%44-1.352007x-1.352007x1.35x1.000000x1.000000x7.076%7.08%5.234%5.23%45-1.474916x-1.474916x1.47x1.000000x1.000000x9.541%9.54%6.469%6.47%46-1.646980x-1.646980x1.65x1.000000x1.000000x15.049%15.0%9.137%9.14%47-1.758228x-1.758228x1.76x1.000000x1.000000x11.030%11.0%6.273%6.27%48-1.801286x-1.801286x1.80x1.000000x1.000000x12.563%12.6%6.975%6.97%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 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 the Town of Ohio, selected other county subdivisions in the Utica Area, and entities that contain the Town of Ohio
Female
Male
10x5x0x5x10xFM#Town of ParisAugustaLittle FallsBoonvilleRussiaMarshallWinfieldWDeerfieldVeronaGerman FlattsNew HartfordSangerfieldWhitestownUticaSchuylerKirklandUtica AreaViennaRemsenFrankfortHerkimerTown of WebbUnited StatesMiddle AtlanticRomeNortheastVernonNew YorkLittle FallsTrentonLitchfieldHerkimerCamdenTown of MarcyColumbiaSherrillNorwayManheimWestmorelandForestportTown of OhioBridgewaterSteubenFairfieldTown of LeeTown of FloydAnnsvilleNewportTown of Stark-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> 10.0x0.000%0%2.426%2.43%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.431%0.43%4.513%4.51%4-1.000000x-1.000000x7.058411x7.058411x7.06x0.629%0.63%4.439%4.44%5-1.000000x-1.000000x6.612104x6.612104x6.61x0.697%0.70%4.611%4.61%6-1.000000x-1.000000x6.455172x6.455172x6.46x0.278%0.28%1.793%1.79%7-1.000000x-1.000000x4.885460x4.885460x4.89x1.091%1.09%5.330%5.33%8-1.000000x-1.000000x4.181438x4.181438x4.18x0.668%0.67%2.791%2.79%9-1.000000x-1.000000x3.400109x3.400109x3.40x0.632%0.63%2.150%2.15%10-1.000000x-1.000000x3.244418x3.244418x3.24x0.637%0.64%2.067%2.07%11-1.000000x-1.000000x3.115694x3.115694x3.12x3.248%3.25%10.120%10.1%12-1.000000x-1.000000x2.979951x2.979951x2.98x0.408%0.41%1.215%1.22%13-1.000000x-1.000000x2.484985x2.484985x2.48x1.180%1.18%2.932%2.93%14-1.000000x-1.000000x2.466374x2.466374x2.47x0.916%0.92%2.260%2.26%15-1.000000x-1.000000x2.405413x2.405413x2.41x0.896%0.90%2.154%2.15%16-1.000000x-1.000000x2.037083x2.037083x2.04x4.853%4.85%9.886%9.89%17-1.000000x-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%18-1.000000x-1.000000x1.803354x1.803354x1.80x0.592%0.59%1.067%1.07%19-1.000000x-1.000000x1.616932x1.616932x1.62x1.837%1.84%2.971%2.97%20-1.000000x-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%-1.000000x-1.000000x1.563191x1.563191x1.56x1.897%1.90%2.965%2.97%21-1.000000x-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%22-1.000000x-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%23-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.320705x1.320705x1.32x1.401%1.40%1.851%1.85%24-1.000000x-1.000000x1.314238x1.314238x1.31x2.843%2.84%3.736%3.74%25-1.000000x-1.000000x1.196970x1.196970x1.20x0.633%0.63%0.758%0.76%26-1.000000x-1.000000x1.184339x1.184339x1.18x1.570%1.57%1.860%1.86%27-1.047746x-1.047746x1.05x1.000000x1.000000x1.669%1.67%1.593%1.59%28-1.093856x-1.093856x1.09x1.000000x1.000000x2.410%2.41%2.203%2.20%29-1.340375x-1.340375x1.34x1.000000x1.000000x1.664%1.66%1.241%1.24%30-1.560976x-1.560976x1.56x1.000000x1.000000x1.346%1.35%0.862%0.86%31-1.748366x-1.748366x1.75x1.000000x1.000000x1.634%1.63%0.935%0.93%32-1.775847x-1.775847x1.78x1.000000x1.000000x1.043%1.04%0.587%0.59%33-1.790102x-1.790102x1.79x1.000000x1.000000x2.598%2.60%1.451%1.45%34-1.977600x-1.977600x1.98x1.000000x1.000000x2.240%2.24%1.133%1.13%35-2.321981x-2.321981x2.32x1.000000x1.000000x1.238%1.24%0.533%0.53%36-2.368943x-2.368943x2.37x1.000000x1.000000x1.982%1.98%0.837%0.84%37-3.028351x-3.028351x3.03x1.000000x1.000000x2.577%2.58%0.851%0.85%38-5.553191x-5.553191x5.55x1.000000x1.000000x1.915%1.91%0.345%0.34%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.935%0.93%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.227%1.23%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.824%1.82%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.793%2.79%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.692%0.69%0.000%0%44
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 44 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 the Town of Ohio to the 50 most populous county subdivisions in New York and to those entities that contain or substantially overlap with the Town of Ohio. 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 the Town of Ohio, selected other county subdivisions in New York, and entities that contain the Town of Ohio
0%5%10%15%20%25%Count#BronxTown of RyeUticaBrooklynQueensRochesterSyracuseTown of MonroeMonroeTown of RamapoRamapoNew RochelleYonkersBuffaloSchenectadyMount VernonBinghamtonTown of IslipNew YorkWhite PlainsNiagara FallsTroyUnited States of AmericaUnited StatesManhattanTown of BabylonBabylonMiddle AtlanticTown of Mount PleasantMt PleasantNortheastUtica and Rome Metro AreaUtica AreaStaten IslandTown of HempsteadHempsteadTown of SouthamptonSouthamptonAlbanyHerkimer CountyHerkimerTown of CheektowagaCheektowagaTown of OhioTown 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%27,74127.7k1216.053840%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%160,845161k2012.329428%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%4,487,0854.49M11.437233%11.437233%11.4%23,35323.4k11.118888%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%6,145269.842217%9.842217%9.8%4,3549.212082%9.212082%9.2%5,923279.025788%9.025788%9.0%638.911497%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 the Town of Ohio, selected other county subdivisions in New York, and entities that contain the Town of Ohio
0%10%20%30%40%50%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 IslandQueensUnited States of AmericaUnited StatesTown of UnionMount VernonTown of MonroeMonroeTown of GreeceGreeceTown of IslipTown of West SenecaW SenecaSyracuseTown of BabylonBabylonTroyBuffaloRochesterBinghamtonUtica and Rome Metro AreaUtica AreaHerkimer CountyHerkimerTown of CheektowagaCheektowagaSchenectadyBronxUticaNiagara FallsTown of Ohio61.467067%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%101,712102k3230.595789%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%9,1833926.804231%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%41,84141.8k4323.661076%23.661076%23.7%31,24831.2k4423.460440%23.460440%23.5%6,9834523.298104%23.298104%23.3%47,57147.6k21.529002%21.529002%21.5%9,52421.402576%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%5,6845013.610315%13.610315%13.6%95
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 the Town of Ohio, selected other county subdivisions in New York, and entities that contain the Town of Ohio
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 HenriettaHenriettaBuffaloStaten IslandBinghamtonTown of HamburgHamburgQueensRochesterTown of UnionTown of IrondequoitIrondequoitTown of TonawandaTonawandaTown of IslipMount VernonTown of GreeceGreeceTown of LancasterLancasterTroyUtica and Rome Metro AreaUtica AreaTown of MonroeMonroeSchenectadyTown of ClayBronxTown of BabylonBabylonUticaHerkimer CountyHerkimerTown of West SenecaW SenecaTown of CheektowagaCheektowagaNiagara FallsTown of Ohio11.932680%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%856273.202492%3.202492%3.2%5,304283.037245%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%680412.120636%2.120636%2.1%4,3301.909629%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%597471.467065%1.467065%1.5%6491.157135%1.157135%1.2%383481.107378%1.107378%1.1%712491.058376%1.058376%1.1%353500.859599%0.859599%0.9%6
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 the Town of Ohio, selected other county subdivisions in New York, and entities that contain the Town of Ohio
Female
Male
1x0x1x2xFM#Town of OhioSouthamptonMt PleasantSchenectadyTown of RyeGreenburghNew RochelleHamburgUtica AreaGreeceNiagara FallsRamapoBrookhavenOrangetownWhite PlainsUnited StatesTown of IslipRochesterHempsteadHuntingtonYonkersSyracuseTown of ClayCortlandtNortheastMount VernonMiddle AtlanticHerkimerBabylonN HempsteadTonawandaNew YorkBinghamtonBronxIrondequoitBrooklynUticaClarkstownTroyStaten IslandWebsterPoughkeepsieAlbanyQueensManhattanBuffaloOyster BayCheektowagaHenriettaLancasterMonroeColonieW SenecaSmithtownAmherstTown of UnionPerinton-1.000000x-1.000000x2.330667x2.330667x2.33x5.263%5.26%12.267%12.3%-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-1.000000x1.254711x1.254711x1.25x15.159%15.2%19.020%19.0%6-1.000000x-1.000000x1.187720x1.187720x1.19x5.282%5.28%6.274%6.27%7-1.000000x-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-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-1.000000x1.058347x1.058347x1.06x9.571%9.57%10.129%10.1%-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%23-1.000000x-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 the Town of Ohio, selected other county subdivisions in New York, and entities that contain the Town of Ohio
Female
Male
2x1x0x1x2xFM#Niagara FallsUticaTown of UnionW SenecaUtica AreaPerintonSmithtownHuntingtonPoughkeepsieBrookhavenAmherstCortlandtOyster BayClarkstownTroyHamburgTonawandaGreenburghColonieLancasterMt PleasantHerkimerBinghamtonBuffaloN HempsteadSyracuseUnited StatesMiddle AtlanticWebsterHempsteadNortheastCheektowagaRamapoOrangetownAlbanyNew RochelleWhite PlainsGreeceSchenectadyNew YorkRochesterTown of ClayIrondequoitMount VernonTown of RyeQueensHenriettaBrooklynManhattanStaten IslandMonroeBronxSouthamptonTown of IslipBabylonYonkersTown of Ohio-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-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-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-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%-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-1.000000x1.245683x1.245683x1.25x9.673%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-1.000000x1.202385x1.202385x1.20x1.526%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%50-2.321981x-2.321981x2.32x1.000000x1.000000x1.238%1.24%0.533%0.53%
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 the Town of Ohio to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with the Town of Ohio. 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 the Town of Ohio, selected other county subdivisions in the Northeast, and entities that contain the Town of Ohio
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityNew YorkUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastUtica and Rome Metro AreaUtica AreaStaten IslandQuincyTown of StamfordStamfordTown of HempsteadHempsteadAlbanyHerkimer CountyHerkimerTown of OhioWoodbridge 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%7,1442415.555125%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%8,3843012.589518%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%4,487,0854.49M11.437233%11.437233%11.4%23,35323.4k11.118888%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%6,145379.842217%9.842217%9.8%4,3549.025788%9.025788%9.0%639.010786%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 the Town of Ohio, selected other county subdivisions in the Northeast, and entities that contain the Town of Ohio
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 IslandQueensUnited States of AmericaUnited StatesWorcesterProvidenceTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterUtica and Rome Metro AreaUtica AreaLowellErieHerkimer CountyHerkimerLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkTown of OhioElizabethPaterson74.864332%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%101,712102k2430.595789%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%62,00762.0k3026.896161%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%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3623.298104%23.298104%23.3%47,57147.6k22.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3821.529002%21.529002%21.5%9,52419.566137%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%24,29624.3k4813.610315%13.610315%13.6%9511.763247%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 the Town of Ohio, selected other county subdivisions in the Northeast, and entities that contain the Town of Ohio
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 StatesBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeUtica and Rome Metro AreaUtica AreaLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldHerkimer CountyHerkimerLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonTown of OhioPaterson19.696596%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%7,127,6737.13M3.202492%3.202492%3.2%5,304263.037245%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%1,579342.120636%2.120636%2.1%4,3302.040539%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%1,401431.467065%1.467065%1.5%6491.189570%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%636490.859599%0.859599%0.9%60.572354%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 the Town of Ohio, selected other county subdivisions in the Northeast, and entities that contain the Town of Ohio
Female
Male
1x0x1x2xFM#Town of OhioStamfordGreenburghSpringfieldUtica AreaNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticHerkimerProvidenceBabylonN HempsteadToms RivWaterburyAllentownNew YorkLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x2.330667x2.330667x2.33x5.263%5.26%12.267%12.3%-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-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-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-1.000000x1.058347x1.058347x1.06x9.571%9.57%10.129%10.1%-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-1.000000x1.049383x1.049383x1.05x8.711%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 the Town of Ohio, selected other county subdivisions in the Northeast, and entities that contain the Town of Ohio
Female
Male
2x1x0x1x2xFM#LakewoodAllentownUtica AreaToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterHerkimerElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyNew YorkRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrocktonTown of Ohio-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-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-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-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%-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-1.000000x1.245683x1.245683x1.25x9.673%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-1.000000x1.213642x1.213642x1.21x1.369%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%50-2.321981x-2.321981x2.32x1.000000x1.000000x1.238%1.24%0.533%0.53%
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 the Town of Ohio to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Ohio. 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 the Town of Ohio, selected other county subdivisions in the United States, and entities that contain the Town of Ohio
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 VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonNew YorkSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteUtica and Rome Metro AreaUtica AreaColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonHerkimer CountyHerkimerAtlantaTown of OhioSeattleNortheast 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%69,83969.8k2315.999398%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%153,604154k3512.559735%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%61,37861.4k3911.437233%11.437233%11.4%23,35323.4k11.376979%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%46,51046.5k459.842217%9.842217%9.8%4,3549.538552%9.538552%9.5%37,37337.4k469.025788%9.025788%9.0%638.833573%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 the Town of Ohio, selected other county subdivisions in the United States, and entities that contain the Town of Ohio
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…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeUtica and Rome Metro AreaUtica AreaFresnoLas VegasHerkimer CountyHerkimerEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitTown of Ohio60.434640%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%120,191120k2830.595789%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%170,682171k3726.758411%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%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4323.298104%23.298104%23.3%47,57147.6k22.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.529002%21.529002%21.5%9,52421.071885%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%59,72359.7k5013.610315%13.610315%13.6%95
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 the Town of Ohio, selected other county subdivisions in the United States, and entities that contain the Town of Ohio
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 StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasUtica and Rome Metro AreaUtica AreaMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxHerkimer CountyHerkimerDetroitTown of Ohio12.461852%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%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%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%26,91426.9k432.120636%2.120636%2.1%4,3302.043126%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%15,06415.1k491.467065%1.467065%1.5%6491.318660%1.318660%1.3%5,693500.859599%0.859599%0.9%6
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 the Town of Ohio, selected other county subdivisions in the United States, and entities that contain the Town of Ohio
Female
Male
1x0x1x2xFM#Town of Ohio1, CharlotteDetroitBaltimoreTulsaUtica AreaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticHerkimerSacramentoColumbusSalt Lk CityDenverNew 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-1.000000x2.330667x2.330667x2.33x5.263%5.26%12.267%12.3%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%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-1.000000x1.174376x1.174376x1.17x10.539%10.5%12.376%12.4%-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-1.000000x1.058347x1.058347x1.06x9.571%9.57%10.129%10.1%-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-1.000000x1.046080x1.046080x1.05x13.775%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 the Town of Ohio, selected other county subdivisions in the United States, and entities that contain the Town of Ohio
Female
Male
2x1x0x1x2xFM#El PasoSalt Lk CityUtica AreaPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteNW HarrisLas VegasHerkimerSeattle 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 DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTown of Ohio-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-1.000000x1.965602x1.965602x1.97x1.440%1.44%2.831%2.83%-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-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%-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-1.000000x1.245683x1.245683x1.25x9.673%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-1.000000x1.202385x1.202385x1.20x1.526%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%50-2.321981x-2.321981x2.32x1.000000x1.000000x1.238%1.24%0.533%0.53%
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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
New York
County:
Herkimer
Metro Area:
Utica Area
ZIP Codes:
13324, 13338, 13420, 13438
Unified School Districts:
Adirondack, Poland, Remsen
Congressional District:
NY-21
State Senate District:
NY-49
Assembly District:
NY-118
Neighboring Towns:
Forestport, Inlet, Morehouse, Norway, Remsen, Russia, Salisbury, Webb
Nearby Towns:
Arietta, Boonville, Greig, Indian Lake, Lake Pleasant, Leyden, Lyonsdale, Steuben, Stratford, Watson