Educational Attainment in Monroe County, New York (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of New York and Monroe County
Monroe County
New York
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma248.508488%43.362833%48.508488%48.5%246,053246k41.875100%42.560743%41.875100%41.9%212,406212k9.616412%14.076424%9.616412%9.6%48,77848.8k
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than New York at large.
Scope: population of New York and Monroe County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma211.866510%11.866510%+11.9%48.508%48.5%43.363%43.4%-1.610975%-1.610975%-1.6%41.875%41.9%42.561%42.6%-31.684269%-31.684269%-31.7%9.616%9.62%14.076%14.1%
% percentage with given level in Monroe County
ref. percentage with given level in New York
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of New York and Monroe County
Monroe County
New York
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.884129%1.473954%1.884129%1.9%9,5572.317851%2.756433%2.317851%2.3%11,75711.8k12.014699%10.855739%12.014699%12.0%60,94360.9k20.448035%19.654818%20.448035%20.4%103,720104k11.843773%8.621889%11.843773%11.8%60,07660.1k17.397390%16.128337%17.397390%17.4%88,24688.2k24.477710%26.432406%24.477710%24.5%124,160124k6.506820%7.544155%6.506820%6.5%33,00533.0k1.926910%4.633976%1.926910%1.9%9,7741.182682%1.898293%1.182682%1.2%5,999
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than New York at large.
Scope: population of New York and Monroe County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None27.828199%27.828199%+27.8%1.884%1.88%1.474%1.47%-15.911200%-15.911200%-15.9%2.318%2.32%2.756%2.76%10.676015%10.676015%+10.7%12.015%12.0%10.856%10.9%4.035736%4.035736%+4.0%20.448%20.4%19.655%19.7%37.368664%37.368664%+37.4%11.844%11.8%8.622%8.62%7.868470%7.868470%+7.9%17.397%17.4%16.128%16.1%-7.395074%-7.395074%-7.4%24.478%24.5%26.432%26.4%-13.750182%-13.750182%-13.8%6.507%6.51%7.544%7.54%-58.417786%-58.417786%-58.4%1.927%1.93%4.634%4.63%-37.697597%-37.697597%-37.7%1.183%1.18%1.898%1.90%
% percentage with given level in Monroe County
ref. percentage with given level in New York
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of New York and Monroe County
More Females More Males
New York
Monroe County
6%4%2%0%2%4%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.652543%-7.071483%-2.652543%3%49.106%49.1%47.837%47.8%2.173646%5.599805%2.173646%2%41.451%41.5%42.352%42.4%3.895890%4.608047%3.895890%4%9.443%9.44%9.811%9.81%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of New York and Monroe County
More Females More Males
New York
Monroe County
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None51.247499%44.135478%51.247499%51%1.518%1.52%2.296%2.30%60.901222%40.202453%60.901222%61%1.801%1.80%2.898%2.90%-27.454355%-35.501157%-27.454355%27%13.370%13.4%10.490%10.5%13.833462%2.270902%13.833462%14%19.198%19.2%21.854%21.9%-28.348807%-20.836943%-28.348807%28%13.218%13.2%10.299%10.3%4.417815%6.906283%4.417815%4%17.043%17.0%17.796%17.8%0.606649%4.810298%0.606649%1%24.408%24.4%24.556%24.6%7.295812%10.700533%7.295812%7%6.291%6.29%6.750%6.75%-0.222558%0.945597%0.945597%1%1.918%1.92%1.937%1.94%-9.708087%-6.719664%-9.708087%10%1.234%1.23%1.125%1.12%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of New York and Monroe County
Monroe County
New York
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3415.801535%12.423176%15.801535%15.8%18,34118.3k116,071116k19.209842%17.896303%19.209842%19.2%39,22439.2k204,187204k22.717806%21.971563%22.717806%22.7%19,41619.4k85,46685.5k26.340469%28.276328%26.340469%26.3%26,73926.7k101,513102k
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than New York at large.
Scope: population of New York and Monroe County
5%0%5%10%15%20%25%%ref.65+45-6435-4425-3427.194003%27.194003%27.2%15.802%15.8%12.423%12.4%7.339721%7.339721%7.3%19.210%19.2%17.896%17.9%3.396404%3.396404%3.4%22.718%22.7%21.972%22.0%-6.846217%-6.846217%6.8%26.340%26.3%28.276%28.3%
% percentage in Monroe County with a Bachelor's degree
ref percentage in New York with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of New York and Monroe County
More Females More Males
New York
Monroe County
10%0%10%20%30%40%FM65+45-6435-4425-3442.907164%33.023651%42.907164%42.9%13.357%13.4%19.088%19.1%10.136945%1.970870%10.136945%10.1%18.318%18.3%20.175%20.2%-6.438767%0.669399%0.669399%0.7%22.645%22.6%22.797%22.8%-12.233214%5.794376%5.794376%5.8%25.607%25.6%27.090%27.1%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of New York and Monroe County
Monroe County
New York
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$61,745.000000$72,399.000000$61,745.000000$61.7k82,25782.3k16.217%16.2%$50,050.000000$55,375.000000$50,050.000000$50.1k103,720104k20.448%20.4%$33,715.000000$36,986.000000$33,715.000000$33.7k148,322148k29.241%29.2%$27,613.000000$30,365.000000$27,613.000000$27.6k124,160124k24.478%24.5%$19,702.000000$20,519.000000$19,702.000000$19.7k48,77848.8k9.616%9.62%$38,213.000000$41,004.000000$38,213.000000$38.2k507,237507k100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of New York and Monroe County
Female Male
New York
Monroe County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-54,976.000000$-63,343.000000$-54,976.000000$55.0k$54,976.000000$20,521.000000$63,343.000000$23,803.000000$75,497.000000$75.5k44,80544.8k37,45237.5k$-40,614.000000$-49,056.000000$-40,614.000000$40.6k$40,614.000000$17,166.000000$49,056.000000$15,512.000000$57,780.000000$57.8k51,53851.5k52,18252.2k$-29,301.000000$-31,735.000000$-29,301.000000$29.3k$29,301.000000$11,311.000000$31,735.000000$11,868.000000$40,612.000000$40.6k81,23881.2k67,08467.1k$-23,056.000000$-24,345.000000$-23,056.000000$23.1k$23,056.000000$8,864.000000$24,345.000000$11,127.000000$31,920.000000$31.9k65,52565.5k58,63558.6k$-16,343.000000$-16,152.000000$-16,343.000000$16.3k$16,343.000000$5,321.000000$16,152.000000$7,310.000000$21,664.000000$21.7k25,35125.4k23,42723.4k$-32,652.000000$-35,927.000000$-32,652.000000$32.7k$32,652.000000$11,199.000000$35,927.000000$10,547.000000$43,851.000000$43.9k268,457268k238,780239k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of New York and Monroe County
Monroe County
New York
0%10%20%30%40%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma343.307087%35.024821%43.307087%43.3%5543.307087%49.578441%43.307087%43.3%5513.385827%15.176109%13.385827%13.4%170.000000%0.000000%0.0%0.220629%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of New York and Monroe County
Monroe County
New York
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.944471%83.757888%84.944471%84.9%128,803129k76.044672%74.250177%76.044672%76.0%91,99292.0k67.288793%66.710729%67.288793%67.3%58,33458.3k45.715541%53.477224%45.715541%45.7%14,57014.6k
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of New York and Monroe County
Female Male
New York
Monroe County
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-5.732072%-7.010475%-5.732072%5.7%5.732072%0.140114%7.010475%0.656174%5.872186%5.9%10,87210.9k11,68511.7k-20.110485%-16.701438%-20.110485%20.1%20.110485%2.092118%16.701438%1.459915%22.202604%22.2%6,4137,390-17.727214%-3.419076%-20.301815%-2.571975%-21.146291%21.1%17.727214%20.301815%17.727214%17.7%1,3791,830-25.853981%-31.379019%-25.853981%25.9%25.853981%6.420933%31.379019%1.968087%32.274914%32.3%4,6964,299-20.434157%-31.931206%-20.434157%20.4%20.434157%5.244674%31.931206%2.116169%25.678830%25.7%2,0901,845
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of New York and Monroe County
Female Male
New York
Monroe County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-40.546374%-40.543483%-0.368528%-40.546374%40.5%40.546374%1.767176%40.543483%42.313551%42.3%78,34178.3k82,65582.7k-13.498823%-0.975828%-19.678068%-5.271968%-14.474651%14.5%13.498823%19.678068%13.498823%13.5%3,8995,319-51.190201%-45.028356%-51.190201%51.2%51.190201%4.986685%45.028356%1.700641%56.176886%56.2%4,3704,430-14.082474%-3.424141%-15.579824%-4.078609%-17.506615%17.5%14.082474%15.579824%14.082474%14.1%2,0492,911-20.641356%-3.868556%-15.106332%-4.239492%-24.509913%24.5%20.641356%15.106332%20.641356%20.6%1,6802,213
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Monroe County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
33%43%52%61%71%80%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
18%26%34%42%51%59%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%5.4%8.9%12.3%15.8%19.3%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.3%2.6%3.9%5.2%6.5%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%2.1%4.0%5.8%7.7%9.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%9.9%13.5%17.1%20.6%24.3%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
14.0%17.8%21.5%25.2%28.9%32.7%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
7.0%9.2%11.4%13.5%15.7%17.9%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
9.8%13.1%16.5%19.8%23.1%26.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8%13%18%23%28%34%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
1.3%3.7%6.0%8.4%10.8%13.2%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.2%4.2%5.3%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.02%0.46%0.88%1.31%1.74%2.17%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Monroe County

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
0%17%35%52%69%87%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
11%29%47%65%82%100%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0%9%18%28%37%46%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.1%4.2%6.3%8.5%10.6%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.1%6.1%9.2%12.3%15.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%11%17%23%29%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%16%31%47%62%78%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.7%7.5%11.2%15.0%18.7%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%13%19%26%33%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%14%21%28%36%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.8%5.6%8.4%11.2%14.0%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.1%4.2%6.3%8.4%10.6%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Monroe County

There are 18 places in Monroe County. This section compares all 18 of those to each other, Monroe County, and other entities that contain or substantially overlap with Monroe County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
0%5%10%15%Count#RochesterNorth GatesNew YorkUnited States of AmericaUnited StatesMiddle AtlanticGatesNortheastGreeceRochester Metro AreaRochesterMonroe CountyMonroeWebsterIrondequoitScottsvilleHamlinBrockportHiltonEast RochesterE RochesterClarksonSpencerportFairportBrightonHoneoye FallsChurchvillePittsford19.239011%19.239011%19.2%25,40825.4k116.621832%16.621832%16.6%1,174214.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M12.305476%12.305476%12.3%427311.614335%11.614335%11.6%4,487,0854.49M10.111861%10.111861%10.1%1,13949.781532%9.781532%9.8%71,98272.0k9.616412%9.616412%9.6%48,77848.8k9.373251%9.373251%9.4%33558.287073%8.287073%8.3%3,12067.300737%7.300737%7.3%10976.892838%6.892838%6.9%25686.764442%6.764442%6.8%22696.632653%6.632653%6.6%247106.269734%6.269734%6.3%278115.512961%5.512961%5.5%151125.472441%5.472441%5.5%139135.026394%5.026394%5.0%219144.736402%4.736402%4.7%1,247154.210526%4.210526%4.2%80163.494624%3.494624%3.5%52171.622545%1.622545%1.6%1918
Count number of people in category
# rank of place out of 18 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
0%20%40%60%Count#PittsfordBrightonFairportHoneoye FallsScottsvilleSpencerportBrockportClarksonChurchvilleMonroe CountyMonroeWebsterIrondequoitNortheastNew YorkMiddle AtlanticRochester Metro AreaRochesterEast RochesterE RochesterUnited States of AmericaUnited StatesGatesHiltonGreeceRochesterHamlinNorth Gates73.356106%73.356106%73.4%859162.868429%62.868429%62.9%16,55216.6k251.090200%51.090200%51.1%2,226345.368421%45.368421%45.4%862439.048895%39.048895%39.0%583538.779528%38.779528%38.8%985638.162227%38.162227%38.2%1,275736.838262%36.838262%36.8%1,009836.693548%36.693548%36.7%546936.664715%36.664715%36.7%185,977186k36.177952%36.177952%36.2%1,2931035.371457%35.371457%35.4%13,31713.3k1134.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M33.002988%33.002988%33.0%242,868243k30.581867%30.581867%30.6%1,3561230.315023%30.315023%30.3%64,767,78764.8M26.772334%26.772334%26.8%9291324.731472%24.731472%24.7%9211423.863636%23.863636%23.9%2,6881523.661076%23.661076%23.7%31,24831.2k1619.009155%19.009155%19.0%7061718.108452%18.108452%18.1%1,27918
Count number of people in category
# rank of place out of 18 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
0%5%10%Count#BrightonPittsfordFairportSpencerportHoneoye FallsBrockportNew YorkMonroe CountyMonroeScottsvilleNortheastMiddle AtlanticRochester Metro AreaRochesterGatesUnited States of AmericaUnited StatesRochesterWebsterIrondequoitEast RochesterE RochesterChurchvilleGreeceClarksonHiltonHamlinNorth Gates13.460954%13.460954%13.5%3,544111.016225%11.016225%11.0%12927.436309%7.436309%7.4%32436.496063%6.496063%6.5%16544.368421%4.368421%4.4%8354.340018%4.340018%4.3%14564.230387%4.230387%4.2%571,275571k4.201981%4.201981%4.2%21,31421.3k4.085733%4.085733%4.1%6174.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.593166%3.593166%3.6%26,44226.4k3.429395%3.429395%3.4%11983.336158%3.336158%3.3%7,127,6737.13M2.719873%2.719873%2.7%3,59292.602126%2.602126%2.6%93102.592366%2.592366%2.6%976112.277853%2.277853%2.3%101121.948925%1.948925%1.9%29131.873224%1.873224%1.9%211141.569916%1.569916%1.6%43151.530612%1.530612%1.5%57161.077006%1.077006%1.1%40170.622965%0.622965%0.6%4418
Count number of people in category
# rank of place out of 18 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
Female
Male
2x1x0x1x2xFM#SpencerportHamlinPittsfordHoneoye FallsHiltonGreeceE RochesterWebsterNorth GatesRochesterUnited StatesRochesterClarksonNortheastChurchvilleMiddle AtlanticNew YorkMonroeBrockportIrondequoitBrightonGatesScottsvilleFairport-1.000000x-1.000000x2.012784x2.012784x2.01x3.670%3.67%7.386%7.39%1-1.000000x-1.000000x1.952698x1.952698x1.95x4.699%4.70%9.176%9.18%2-1.000000x-1.000000x1.475591x1.475591x1.48x1.347%1.35%1.988%1.99%3-1.000000x-1.000000x1.435612x1.435612x1.44x3.524%3.52%5.059%5.06%4-1.000000x-1.000000x1.299286x1.299286x1.30x5.804%5.80%7.541%7.54%5-1.000000x-1.000000x1.291133x1.291133x1.29x8.909%8.91%11.502%11.5%6-1.000000x-1.000000x1.267835x1.267835x1.27x5.541%5.54%7.025%7.02%7-1.000000x-1.000000x1.231953x1.231953x1.23x8.562%8.56%10.548%10.5%8-1.000000x-1.000000x1.148741x1.148741x1.15x15.599%15.6%17.919%17.9%9-1.000000x-1.000000x1.117682x1.117682x1.12x9.262%9.26%10.352%10.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%10-1.000000x-1.000000x1.079819x1.079819x1.08x5.308%5.31%5.732%5.73%11-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.060795x1.060795x1.06x3.402%3.40%3.609%3.61%12-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.038959x1.038959x1.04x9.443%9.44%9.811%9.81%-1.000000x-1.000000x1.037102x1.037102x1.04x6.648%6.65%6.894%6.89%13-1.000000x-1.000000x1.019781x1.019781x1.02x8.213%8.21%8.376%8.38%14-1.424614x-1.424614x1.42x1.000000x1.000000x5.493%5.49%3.856%3.86%15-1.769272x-1.769272x1.77x1.000000x1.000000x15.121%15.1%8.546%8.55%16-1.825185x-1.825185x1.83x1.000000x1.000000x9.180%9.18%5.030%5.03%17-2.990888x-2.990888x2.99x1.000000x1.000000x7.402%7.40%2.475%2.48%18
F percentage of females in category
M percentage of males in category
# rank of place out of 18 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Monroe County, selected places in Monroe County, and entities that contain Monroe County
Female
Male
0x5x10xFM#ChurchvilleClarksonGatesNorth GatesBrockportFairportHiltonPittsfordMonroeUnited StatesMiddle AtlanticRochesterNortheastNew YorkRochesterSpencerportBrightonIrondequoitScottsvilleHamlinHoneoye FallsGreeceWebsterE Rochester-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.361%4.36%1-1.000000x-1.000000x4.025641x4.025641x4.03x0.637%0.64%2.564%2.56%2-1.000000x-1.000000x3.960879x3.960879x3.96x1.512%1.51%5.989%5.99%3-1.000000x-1.000000x3.381717x3.381717x3.38x0.304%0.30%1.028%1.03%4-1.000000x-1.000000x3.249397x3.249397x3.25x2.102%2.10%6.831%6.83%5-1.000000x-1.000000x2.337038x2.337038x2.34x4.521%4.52%10.566%10.6%6-1.000000x-1.000000x2.191334x2.191334x2.19x0.976%0.98%2.138%2.14%7-1.000000x-1.000000x1.625694x1.625694x1.63x8.683%8.68%14.115%14.1%8-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%-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-1.000000x1.494686x1.494686x1.49x2.908%2.91%4.346%4.35%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%9-1.000000x-1.000000x1.405616x1.405616x1.41x5.428%5.43%7.630%7.63%10-1.000000x-1.000000x1.390814x1.390814x1.39x11.402%11.4%15.858%15.9%11-1.000000x-1.000000x1.369034x1.369034x1.37x2.220%2.22%3.039%3.04%12-1.000000x-1.000000x1.025462x1.025462x1.03x4.039%4.04%4.142%4.14%13-1.300081x-1.300081x1.30x1.000000x1.000000x1.214%1.21%0.934%0.93%14-1.774725x-1.774725x1.77x1.000000x1.000000x5.429%5.43%3.059%3.06%15-1.900839x-1.900839x1.90x1.000000x1.000000x2.401%2.40%1.263%1.26%16-2.101929x-2.101929x2.10x1.000000x1.000000x3.311%3.31%1.575%1.58%17-2.179993x-2.179993x2.18x1.000000x1.000000x3.103%3.10%1.423%1.42%18
F percentage of females in category
M percentage of males in category
# rank of place out of 18 by male-to-female sex ratio

Educational Attainment by County Subdivision in Monroe County

There are 22 county subdivisions in Monroe County. This section compares all 22 of those to each other, Monroe County, and other entities that contain or substantially overlap with Monroe County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
0%5%10%15%Count#RochesterNew YorkUnited States of AmericaUnited StatesMiddle AtlanticTown of GatesNortheastTown of ClarksonClarksonRochester Metro AreaRochesterMonroe CountyMonroeTown of HenriettaHenriettaTown of IrondequoitIrondequoitTown of GreeceGreeceTown of RigaTown of HamlinHamlinTown of East RochesterE RochesterTown of PenfieldPenfieldTown of ParmaTown of ChiliTown of OgdenTown of WebsterWebsterTown of BrightonBrightonTown of WheatlandWheatlandTown of SwedenSwedenTown of PerintonPerintonTown of RushTown of MendonMendonTown of PittsfordPittsford19.239011%19.239011%19.2%25,40825.4k114.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M12.260886%12.260886%12.3%2,551211.614335%11.614335%11.6%4,487,0854.49M10.884061%10.884061%10.9%50639.781532%9.781532%9.8%71,98272.0k9.616412%9.616412%9.6%48,77848.8k8.854285%8.854285%8.9%2,33748.287073%8.287073%8.3%3,12057.434661%7.434661%7.4%5,27466.669960%6.669960%6.7%27076.534979%6.534979%6.5%39786.269734%6.269734%6.3%27896.095209%6.095209%6.1%1,612105.262200%5.262200%5.3%578115.248198%5.248198%5.2%1,034125.037058%5.037058%5.0%700134.737815%4.737815%4.7%1,461144.736402%4.736402%4.7%1,247154.476302%4.476302%4.5%153164.302423%4.302423%4.3%309172.807340%2.807340%2.8%947182.737158%2.737158%2.7%73192.410026%2.410026%2.4%150201.988273%1.988273%2.0%37321
Count number of people in category
# rank of county subdivision out of 21 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
0%20%40%60%Count#Town of PittsfordPittsfordTown of BrightonBrightonTown of MendonMendonTown of PerintonPerintonTown of PenfieldPenfieldTown of RushTown of WebsterWebsterTown of ChiliTown of OgdenTown of SwedenSwedenTown of HenriettaHenriettaMonroe CountyMonroeTown of IrondequoitIrondequoitTown of WheatlandWheatlandNortheastNew YorkTown of RigaMiddle AtlanticRochester Metro AreaRochesterTown of ClarksonClarksonTown of East RochesterE RochesterUnited States of AmericaUnited StatesTown of GreeceGreeceTown of ParmaRochesterTown of GatesTown of HamlinHamlin72.841151%72.841151%72.8%13,66513.7k162.868429%62.868429%62.9%16,55216.6k257.294344%57.294344%57.3%3,566356.650757%56.650757%56.7%19,11019.1k451.820622%51.820622%51.8%13,70513.7k548.668916%48.668916%48.7%1,298643.720206%43.720206%43.7%13,48213.5k737.732210%37.732210%37.7%7,434837.410952%37.410952%37.4%5,199936.981342%36.981342%37.0%2,6561036.921270%36.921270%36.9%9,7451136.664715%36.664715%36.7%185,977186k35.371457%35.371457%35.4%13,31713.3k1235.313049%35.313049%35.3%1,2071334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.239130%34.239130%34.2%1,3861433.644618%33.644618%33.6%9,577,4379.58M33.002988%33.002988%33.0%242,868243k30.995913%30.995913%31.0%1,4411530.581867%30.581867%30.6%1,3561630.315023%30.315023%30.3%64,767,78764.8M28.513632%28.513632%28.5%20,22720.2k1728.386744%28.386744%28.4%3,1181823.661076%23.661076%23.7%31,24831.2k1923.377872%23.377872%23.4%4,8642023.061728%23.061728%23.1%1,40121
Count number of people in category
# rank of county subdivision out of 21 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
0%5%10%15%Count#Town of PittsfordPittsfordTown of BrightonBrightonTown of MendonMendonTown of PerintonPerintonTown of PenfieldPenfieldTown of SwedenSwedenNew YorkMonroe CountyMonroeNortheastTown of WebsterWebsterMiddle AtlanticRochester Metro AreaRochesterTown of RushUnited States of AmericaUnited StatesTown of HenriettaHenriettaTown of OgdenTown of RigaRochesterTown of IrondequoitIrondequoitTown of East RochesterE RochesterTown of ParmaTown of GreeceGreeceTown of WheatlandWheatlandTown of ChiliTown of ClarksonClarksonTown of GatesTown of HamlinHamlin15.948827%15.948827%15.9%2,992113.460954%13.460954%13.5%3,544210.491645%10.491645%10.5%65336.578128%6.578128%6.6%2,21945.478882%5.478882%5.5%1,44954.358118%4.358118%4.4%31364.230387%4.230387%4.2%571,275571k4.201981%4.201981%4.2%21,31421.3k4.085016%4.085016%4.1%1,578,2061.58M4.053572%4.053572%4.1%1,25073.884861%3.884861%3.9%1,105,8831.11M3.593166%3.593166%3.6%26,44226.4k3.337083%3.337083%3.3%8983.336158%3.336158%3.3%7,127,6737.13M3.243161%3.243161%3.2%85693.230913%3.230913%3.2%449102.791502%2.791502%2.8%113112.719873%2.719873%2.7%3,592122.592366%2.592366%2.6%976132.277853%2.277853%2.3%101142.276038%2.276038%2.3%250152.249852%2.249852%2.2%1,596162.194266%2.194266%2.2%75172.146990%2.146990%2.1%423181.548720%1.548720%1.5%72191.259252%1.259252%1.3%262200.658436%0.658436%0.7%4021
Count number of people in category
# rank of county subdivision out of 21 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
Female
Male
2x1x0x1x2xFM#Town of RushClarksonHamlinTown of ParmaE RochesterTown of ChiliTown of OgdenGreeceRochesterUnited StatesRochesterNortheastMiddle AtlanticTown of GatesNew YorkMonroeIrondequoitWebsterHenriettaSwedenMendonBrightonWheatlandPerintonTown of RigaPenfieldPittsford-1.000000x-1.000000x2.696104x2.696104x2.70x1.487%1.49%4.009%4.01%1-1.000000x-1.000000x1.974489x1.974489x1.97x7.232%7.23%14.280%14.3%2-1.000000x-1.000000x1.418861x1.418861x1.42x5.412%5.41%7.680%7.68%3-1.000000x-1.000000x1.277491x1.277491x1.28x4.639%4.64%5.927%5.93%4-1.000000x-1.000000x1.267835x1.267835x1.27x5.541%5.54%7.025%7.02%5-1.000000x-1.000000x1.171424x1.171424x1.17x4.859%4.86%5.692%5.69%6-1.000000x-1.000000x1.170759x1.170759x1.17x4.655%4.66%5.450%5.45%7-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%8-1.000000x-1.000000x1.117682x1.117682x1.12x9.262%9.26%10.352%10.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%9-1.000000x-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-1.000000x1.055036x1.055036x1.06x11.971%12.0%12.630%12.6%10-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.038959x1.038959x1.04x9.443%9.44%9.811%9.81%-1.000000x-1.000000x1.019781x1.019781x1.02x8.213%8.21%8.376%8.38%11-1.005091x-1.005091x1.01x1.000000x1.000000x4.749%4.75%4.725%4.72%12-1.080215x-1.080215x1.08x1.000000x1.000000x9.187%9.19%8.505%8.50%13-1.239586x-1.239586x1.24x1.000000x1.000000x4.743%4.74%3.826%3.83%14-1.345467x-1.345467x1.35x1.000000x1.000000x2.749%2.75%2.043%2.04%15-1.424614x-1.424614x1.42x1.000000x1.000000x5.493%5.49%3.856%3.86%16-1.455573x-1.455573x1.46x1.000000x1.000000x5.316%5.32%3.652%3.65%17-1.487023x-1.487023x1.49x1.000000x1.000000x3.320%3.32%2.233%2.23%18-1.538150x-1.538150x1.54x1.000000x1.000000x7.933%7.93%5.157%5.16%19-1.955863x-1.955863x1.96x1.000000x1.000000x7.895%7.90%4.037%4.04%20-2.567666x-2.567666x2.57x1.000000x1.000000x2.757%2.76%1.074%1.07%21
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 21 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Monroe County, selected county subdivisions in Monroe County, and entities that contain Monroe County
Female
Male
2x1x0x1x2xFM#Town of RigaTown of ParmaPittsfordSwedenPenfieldTown of GatesPerintonTown of ChiliMonroeUnited StatesMiddle AtlanticRochesterWebsterNortheastGreeceNew YorkRochesterBrightonIrondequoitMendonHenriettaTown of OgdenTown of RushClarksonHamlinWheatlandE Rochester-1.000000x-1.000000x2.668962x2.668962x2.67x1.587%1.59%4.235%4.23%1-1.000000x-1.000000x2.536788x2.536788x2.54x1.305%1.31%3.311%3.31%2-1.000000x-1.000000x2.242580x2.242580x2.24x10.175%10.2%22.817%22.8%3-1.000000x-1.000000x2.237715x2.237715x2.24x2.733%2.73%6.116%6.12%4-1.000000x-1.000000x2.055594x2.055594x2.06x3.671%3.67%7.546%7.55%5-1.000000x-1.000000x1.900671x1.900671x1.90x0.902%0.90%1.714%1.71%6-1.000000x-1.000000x1.799304x1.799304x1.80x4.778%4.78%8.597%8.60%7-1.000000x-1.000000x1.765135x1.765135x1.77x1.582%1.58%2.792%2.79%8-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%-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-1.000000x1.494686x1.494686x1.49x2.908%2.91%4.346%4.35%-1.000000x-1.000000x1.488955x1.488955x1.49x3.305%3.30%4.921%4.92%9-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%10-1.000000x-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%11-1.000000x-1.000000x1.390814x1.390814x1.39x11.402%11.4%15.858%15.9%12-1.000000x-1.000000x1.369034x1.369034x1.37x2.220%2.22%3.039%3.04%13-1.000000x-1.000000x1.291811x1.291811x1.29x9.203%9.20%11.889%11.9%14-1.000000x-1.000000x1.266518x1.266518x1.27x2.870%2.87%3.635%3.63%15-1.000000x-1.000000x1.124911x1.124911x1.12x3.048%3.05%3.429%3.43%16-1.000000x-1.000000x1.040521x1.040521x1.04x3.271%3.27%3.404%3.40%17-1.201970x-1.201970x1.20x1.000000x1.000000x1.696%1.70%1.411%1.41%18-1.326915x-1.326915x1.33x1.000000x1.000000x0.750%0.75%0.565%0.57%19-1.710299x-1.710299x1.71x1.000000x1.000000x2.776%2.78%1.623%1.62%20-2.179993x-2.179993x2.18x1.000000x1.000000x3.103%3.10%1.423%1.42%21
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 21 by male-to-female sex ratio

Educational Attainment by County in the Rochester Area

There are 6 counties in the Rochester Area. This section compares Monroe County to all of the counties in the Rochester Area and to those entities that contain or substantially overlap with Monroe County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Monroe County, selected other counties in the Rochester Area, and entities that contain Monroe County
0%5%10%Count#Yates CountyYatesNew YorkOrleans CountyOrleansUnited States of AmericaUnited StatesMiddle AtlanticNortheastLivingston CountyLivingstonWayne CountyWayneRochester Metro AreaRochesterMonroe CountyMonroeOntario CountyOntario14.822928%14.822928%14.8%2,436114.076424%14.076424%14.1%1,900,8921.90M13.675703%13.675703%13.7%4,061213.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.041505%11.041505%11.0%4,706310.019720%10.019720%10.0%6,40249.781532%9.781532%9.8%71,98272.0k9.616412%9.616412%9.6%48,77848.8k57.365555%7.365555%7.4%5,5996
Count number of people in category
# rank of county out of 6 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Monroe County, selected other counties in the Rochester Area, and entities that contain Monroe County
0%10%20%30%Count#Monroe CountyMonroeNortheastNew YorkMiddle AtlanticRochester Metro AreaRochesterOntario CountyOntarioUnited States of AmericaUnited StatesLivingston CountyLivingstonYates CountyYatesWayne CountyWayneOrleans CountyOrleans36.664715%36.664715%36.7%185,977186k134.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M33.002988%33.002988%33.0%242,868243k32.078773%32.078773%32.1%24,38524.4k230.315023%30.315023%30.3%64,767,78764.8M24.476197%24.476197%24.5%10,43210.4k323.159304%23.159304%23.2%3,806421.216390%21.216390%21.2%13,55613.6k515.867991%15.867991%15.9%4,7126
Count number of people in category
# rank of county out of 6 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Monroe County, selected other counties in the Rochester Area, and entities that contain Monroe County
0%1%2%3%4%Count#New YorkMonroe CountyMonroeNortheastMiddle AtlanticRochester Metro AreaRochesterUnited States of AmericaUnited StatesOntario CountyOntarioLivingston CountyLivingstonYates CountyYatesWayne CountyWayneOrleans CountyOrleans4.230387%4.230387%4.2%571,275571k4.201981%4.201981%4.2%21,31421.3k14.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.593166%3.593166%3.6%26,44226.4k3.336158%3.336158%3.3%7,127,6737.13M3.295359%3.295359%3.3%2,50522.702893%2.702893%2.7%1,15231.776804%1.776804%1.8%29241.388237%1.388237%1.4%88750.983331%0.983331%1.0%2926
Count number of people in category
# rank of county out of 6 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Monroe County, selected other counties in the Rochester Area, and entities that contain Monroe County
Female
Male
1.0x0.5x0.0x0.5x1.0xFM#OntarioYatesWayneOrleansLivingstonRochesterUnited StatesNortheastMiddle AtlanticNew YorkMonroe-1.000000x-1.000000x1.448610x1.448610x1.45x6.059%6.06%8.778%8.78%1-1.000000x-1.000000x1.312849x1.312849x1.31x12.883%12.9%16.913%16.9%2-1.000000x-1.000000x1.268662x1.268662x1.27x8.854%8.85%11.233%11.2%3-1.000000x-1.000000x1.263375x1.263375x1.26x12.107%12.1%15.296%15.3%4-1.000000x-1.000000x1.187560x1.187560x1.19x10.086%10.1%11.978%12.0%5-1.000000x-1.000000x1.117682x1.117682x1.12x9.262%9.26%10.352%10.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.038959x1.038959x1.04x9.443%9.44%9.811%9.81%6
F percentage of females in category
M percentage of males in category
# rank of county out of 6 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Monroe County, selected other counties in the Rochester Area, and entities that contain Monroe County
Female
Male
1x0x1xFM#MonroeUnited StatesMiddle AtlanticRochesterNortheastYatesNew YorkLivingstonWayneOntarioOrleans-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%1-1.000000x-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-1.000000x1.494686x1.494686x1.49x2.908%2.91%4.346%4.35%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.419380x1.419380x1.42x1.478%1.48%2.098%2.10%2-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.390949x1.390949x1.39x2.257%2.26%3.140%3.14%3-1.000000x-1.000000x1.314960x1.314960x1.31x1.203%1.20%1.581%1.58%4-1.000000x-1.000000x1.271962x1.271962x1.27x2.915%2.91%3.707%3.71%5-1.000000x-1.000000x1.033208x1.033208x1.03x0.968%0.97%1.000%1.00%6
F percentage of females in category
M percentage of males in category
# rank of county out of 6 by male-to-female sex ratio

Educational Attainment by County in New York

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

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Monroe County, selected other counties in New York, and entities that contain Monroe County
0%5%10%15%20%25%Count#Bronx CountyBronxKings CountyKingsQueens CountyQueensMontgomery CountyMontgomeryFranklin CountyFranklinNew YorkSullivan CountySullivanClinton CountyClintonOswego CountyOswegoFulton CountyFultonChenango CountyChenangoUnited States of AmericaUnited StatesNew York CountyNew YorkRockland CountyRocklandWestchester CountyWestchesterCayuga CountyCayugaMiddle AtlanticOneida CountyOneidaSt. Lawrence CountySt. LawrenceCattaraugus CountyCattaraugusChautauqua CountyChautauquaNortheastWashington CountyWashingtonRichmond CountyRichmondColumbia CountyColumbiaLivingston CountyLivingstonOrange CountyOrangeSteuben CountySteubenWayne CountyWayneSuffolk CountySuffolkUlster CountyUlsterDutchess CountyDutchessHerkimer CountyHerkimerJefferson CountyJeffersonBroome CountyBroomeChemung CountyChemungRochester Metro AreaRochesterSchenectady CountySchenectadyTioga CountyTiogaMonroe CountyMonroeMadison CountyMadisonCortland CountyCortlandOtsego CountyOtsegoOnondaga CountyOnondagaErie CountyErieNiagara CountyNiagaraNassau CountyNassauGenesee CountyGeneseeWarren CountyWarrenRensselaer CountyRensselaerOntario CountyOntarioPutnam CountyPutnamAlbany CountyAlbanySaratoga CountySaratogaTompkins CountyTompkins28.837398%28.837398%28.8%261,022261k120.017506%20.017506%20.0%351,046351k219.344706%19.344706%19.3%315,505316k315.512660%15.512660%15.5%5,312414.641301%14.641301%14.6%5,241514.076424%14.076424%14.1%1,900,8921.90M13.826858%13.826858%13.8%7,331613.622616%13.622616%13.6%7,522713.459931%13.459931%13.5%10,78810.8k813.300085%13.300085%13.3%5,147913.087422%13.087422%13.1%4,5451013.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k1112.743673%12.743673%12.7%25,86825.9k1212.397264%12.397264%12.4%81,98182.0k1312.376345%12.376345%12.4%6,8561412.313400%12.313400%12.3%3,505,1913.51M11.878384%11.878384%11.9%18,99919.0k1511.868424%11.868424%11.9%8,5621611.831007%11.831007%11.8%6,2981711.798083%11.798083%11.8%10,64610.6k1811.614335%11.614335%11.6%4,487,0854.49M11.474751%11.474751%11.5%5,1401911.118888%11.118888%11.1%36,06336.1k2011.086571%11.086571%11.1%5,0702111.041505%11.041505%11.0%4,7062210.585415%10.585415%10.6%25,21725.2k2310.393756%10.393756%10.4%7,0982410.019720%10.019720%10.0%6,402259.992975%9.992975%10.0%102,414102k269.915901%9.915901%9.9%12,79312.8k279.865951%9.865951%9.9%19,99720.0k289.842217%9.842217%9.8%4,354299.812463%9.812463%9.8%7,231309.796456%9.796456%9.8%12,78812.8k319.786515%9.786515%9.8%5,909329.781532%9.781532%9.8%71,98272.0k9.769541%9.769541%9.8%10,36910.4k339.753866%9.753866%9.8%3,412349.616412%9.616412%9.6%48,77848.8k359.612234%9.612234%9.6%4,576369.569456%9.569456%9.6%2,925379.526198%9.526198%9.5%3,798389.466571%9.466571%9.5%29,82529.8k399.158043%9.158043%9.2%58,41058.4k409.123949%9.123949%9.1%13,70713.7k419.121758%9.121758%9.1%85,26785.3k429.068976%9.068976%9.1%3,759438.836121%8.836121%8.8%4,190448.667169%8.667169%8.7%9,539457.365555%7.365555%7.4%5,599467.314137%7.314137%7.3%5,103477.294501%7.294501%7.3%14,88114.9k485.966083%5.966083%6.0%9,439495.495592%5.495592%5.5%3,27950
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Monroe County, selected other counties in New York, and entities that contain Monroe County
0%10%20%30%40%50%60%Count#New York CountyNew YorkTompkins CountyTompkinsWestchester CountyWestchesterNassau CountyNassauRockland CountyRocklandAlbany CountyAlbanySaratoga CountySaratogaPutnam CountyPutnamMonroe CountyMonroeNortheastNew YorkSuffolk CountySuffolkOnondaga CountyOnondagaKings CountyKingsDutchess CountyDutchessMiddle AtlanticRochester Metro AreaRochesterErie CountyErieOntario CountyOntarioRichmond CountyRichmondUlster CountyUlsterQueens CountyQueensSchenectady CountySchenectadyUnited States of AmericaUnited StatesColumbia CountyColumbiaRensselaer CountyRensselaerOrange CountyOrangeOtsego CountyOtsegoWarren CountyWarrenBroome CountyBroomeMadison CountyMadisonTioga CountyTiogaCortland CountyCortlandLivingston CountyLivingstonChemung CountyChemungOneida CountyOneidaNiagara CountyNiagaraSt. Lawrence CountySt. LawrenceSullivan CountySullivanSteuben CountySteubenClinton CountyClintonCayuga CountyCayugaHerkimer CountyHerkimerGenesee CountyGeneseeWayne CountyWayneChautauqua CountyChautauquaJefferson CountyJeffersonWashington CountyWashingtonBronx CountyBronxFranklin CountyFranklinCattaraugus CountyCattaraugusOswego CountyOswegoChenango CountyChenangoFulton CountyFultonMontgomery CountyMontgomery60.434640%60.434640%60.4%747,953748k151.602253%51.602253%51.6%30,78930.8k247.303651%47.303651%47.3%312,811313k343.543885%43.543885%43.5%407,033407k440.422786%40.422786%40.4%82,05382.1k539.728337%39.728337%39.7%81,04781.0k639.649582%39.649582%39.6%62,73062.7k738.932764%38.932764%38.9%27,16327.2k836.664715%36.664715%36.7%185,977186k934.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.384794%34.384794%34.4%352,396352k1034.320248%34.320248%34.3%108,128108k1134.081468%34.081468%34.1%597,685598k1233.970605%33.970605%34.0%68,85468.9k1333.644618%33.644618%33.6%9,577,4379.58M33.002988%33.002988%33.0%242,868243k32.199279%32.199279%32.2%205,367205k1432.078773%32.078773%32.1%24,38524.4k1531.359684%31.359684%31.4%101,712102k1630.970817%30.970817%31.0%39,95740.0k1730.595789%30.595789%30.6%499,006499k1830.581518%30.581518%30.6%32,45832.5k1930.315023%30.315023%30.3%64,767,78764.8M29.520457%29.520457%29.5%13,50013.5k2029.310642%29.310642%29.3%32,25932.3k2128.697360%28.697360%28.7%68,36468.4k2228.503348%28.503348%28.5%11,36411.4k2328.416879%28.416879%28.4%13,47513.5k2427.757647%27.757647%27.8%36,23436.2k2526.710919%26.710919%26.7%12,71612.7k2625.036448%25.036448%25.0%8,7582724.782438%24.782438%24.8%7,5752824.476197%24.476197%24.5%10,43210.4k2924.443929%24.443929%24.4%14,75914.8k3023.787403%23.787403%23.8%38,04738.0k3123.494485%23.494485%23.5%35,29635.3k3222.772071%22.772071%22.8%16,42816.4k3322.355715%22.355715%22.4%11,85311.9k3422.348479%22.348479%22.3%15,26215.3k3522.241339%22.241339%22.2%12,28112.3k3621.622500%21.622500%21.6%11,97812.0k3721.529002%21.529002%21.5%9,5243821.230910%21.230910%21.2%8,8003921.216390%21.216390%21.2%13,55613.6k4020.841137%20.841137%20.8%18,80618.8k4120.753949%20.753949%20.8%15,29415.3k4220.246015%20.246015%20.2%9,0694319.131504%19.131504%19.1%173,169173k4418.401497%18.401497%18.4%6,5874518.127853%18.127853%18.1%9,6504618.032664%18.032664%18.0%14,45314.5k4717.435499%17.435499%17.4%6,0554817.003023%17.003023%17.0%6,5804915.965307%15.965307%16.0%5,46750
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Monroe County, selected other counties in New York, and entities that contain Monroe County
0%5%10%Count#Tompkins CountyTompkinsNew York CountyNew YorkWestchester CountyWestchesterNassau CountyNassauAlbany CountyAlbanyRockland CountyRocklandNew YorkOtsego CountyOtsegoMonroe CountyMonroeOnondaga CountyOnondagaNortheastSuffolk CountySuffolkMiddle AtlanticSaratoga CountySaratogaErie CountyErieDutchess CountyDutchessRochester Metro AreaRochesterPutnam CountyPutnamKings CountyKingsUnited States of AmericaUnited StatesColumbia CountyColumbiaOntario CountyOntarioRensselaer CountyRensselaerSchenectady CountySchenectadyUlster CountyUlsterBroome CountyBroomeRichmond CountyRichmondMadison CountyMadisonSt. Lawrence CountySt. LawrenceWarren CountyWarrenQueens CountyQueensLivingston CountyLivingstonOrange CountyOrangeClinton CountyClintonCortland CountyCortlandOneida CountyOneidaSullivan CountySullivanSteuben CountySteubenChemung CountyChemungJefferson CountyJeffersonFranklin CountyFranklinChautauqua CountyChautauquaCayuga CountyCayugaBronx CountyBronxNiagara CountyNiagaraTioga CountyTiogaGenesee CountyGeneseeWashington CountyWashingtonHerkimer CountyHerkimerWayne CountyWayneChenango CountyChenangoMontgomery CountyMontgomeryOswego CountyOswegoCattaraugus CountyCattaraugusFulton CountyFulton12.367177%12.367177%12.4%7,379110.788423%10.788423%10.8%133,520134k27.604460%7.604460%7.6%50,28750.3k35.833659%5.833659%5.8%54,53154.5k45.550409%5.550409%5.6%11,32311.3k54.542163%4.542163%4.5%9,22064.230387%4.230387%4.2%571,275571k4.211292%4.211292%4.2%1,67974.201981%4.201981%4.2%21,31421.3k84.157356%4.157356%4.2%13,09813.1k94.085016%4.085016%4.1%1,578,2061.58M3.962200%3.962200%4.0%40,60740.6k103.884861%3.884861%3.9%1,105,8831.11M3.849922%3.849922%3.8%6,091113.688617%3.688617%3.7%23,52623.5k123.625788%3.625788%3.6%7,349133.593166%3.593166%3.6%26,44226.4k3.518755%3.518755%3.5%2,455143.384967%3.384967%3.4%59,36259.4k153.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,521163.295359%3.295359%3.3%2,505173.277333%3.277333%3.3%3,607183.269390%3.269390%3.3%3,470193.219006%3.219006%3.2%4,153203.112527%3.112527%3.1%4,063213.037245%3.037245%3.0%9,851223.003823%3.003823%3.0%1,430232.953937%2.953937%3.0%2,131242.777368%2.777368%2.8%1,317252.756960%2.756960%2.8%44,96545.0k262.702893%2.702893%2.7%1,152272.566912%2.566912%2.6%6,115282.463010%2.463010%2.5%1,360292.385003%2.385003%2.4%729302.301402%2.301402%2.3%3,681312.242550%2.242550%2.2%1,189322.197947%2.197947%2.2%1,501332.085162%2.085162%2.1%1,259341.864517%1.864517%1.9%1,374351.854956%1.854956%1.9%664361.846290%1.846290%1.8%1,666371.767276%1.767276%1.8%979381.664253%1.664253%1.7%15,06415.1k391.656782%1.656782%1.7%2,489401.649467%1.649467%1.6%577411.544066%1.544066%1.5%640421.484574%1.484574%1.5%665431.467065%1.467065%1.5%649441.388237%1.388237%1.4%887451.333218%1.333218%1.3%463461.305376%1.305376%1.3%447471.301326%1.301326%1.3%1,043481.245468%1.245468%1.2%663490.963849%0.963849%1.0%37350
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Monroe County, selected other counties in New York, and entities that contain Monroe County
Female
Male
1x0x1xFM#FranklinCayugaWashingtonWarrenColumbiaFultonPutnamOntarioTiogaOtsegoCortlandChemungSullivanChenangoChautauquaClintonTompkinsJeffersonOswegoSt. LawrenceWayneSteubenRensselaerMontgomeryUlsterSchenectadyCattaraugusMadisonSaratogaGeneseeOneidaLivingstonDutchessWestchesterRochesterSuffolkNiagaraUnited StatesRocklandOnondagaNortheastNassauMiddle AtlanticHerkimerNew YorkOrangeMonroeBronxKingsRichmondErieAlbanyQueensNew YorkBroome-1.000000x-1.000000x1.676618x1.676618x1.68x10.704%10.7%17.947%17.9%1-1.000000x-1.000000x1.661763x1.661763x1.66x9.264%9.26%15.394%15.4%2-1.000000x-1.000000x1.612603x1.612603x1.61x8.744%8.74%14.101%14.1%3-1.000000x-1.000000x1.493910x1.493910x1.49x7.139%7.14%10.665%10.7%4-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%5-1.000000x-1.000000x1.478916x1.478916x1.48x10.782%10.8%15.946%15.9%6-1.000000x-1.000000x1.476936x1.476936x1.48x5.930%5.93%8.759%8.76%7-1.000000x-1.000000x1.448610x1.448610x1.45x6.059%6.06%8.778%8.78%8-1.000000x-1.000000x1.404241x1.404241x1.40x8.150%8.15%11.445%11.4%9-1.000000x-1.000000x1.392068x1.392068x1.39x8.007%8.01%11.147%11.1%10-1.000000x-1.000000x1.366830x1.366830x1.37x8.120%8.12%11.098%11.1%11-1.000000x-1.000000x1.366459x1.366459x1.37x8.295%8.29%11.334%11.3%12-1.000000x-1.000000x1.357710x1.357710x1.36x11.703%11.7%15.889%15.9%13-1.000000x-1.000000x1.349435x1.349435x1.35x11.170%11.2%15.073%15.1%14-1.000000x-1.000000x1.332333x1.332333x1.33x10.159%10.2%13.535%13.5%15-1.000000x-1.000000x1.323951x1.323951x1.32x11.670%11.7%15.450%15.5%16-1.000000x-1.000000x1.301060x1.301060x1.30x4.804%4.80%6.250%6.25%17-1.000000x-1.000000x1.290035x1.290035x1.29x8.548%8.55%11.027%11.0%18-1.000000x-1.000000x1.282344x1.282344x1.28x11.809%11.8%15.144%15.1%19-1.000000x-1.000000x1.277028x1.277028x1.28x10.416%10.4%13.302%13.3%20-1.000000x-1.000000x1.268662x1.268662x1.27x8.854%8.85%11.233%11.2%21-1.000000x-1.000000x1.264635x1.264635x1.26x9.196%9.20%11.630%11.6%22-1.000000x-1.000000x1.263722x1.263722x1.26x7.697%7.70%9.727%9.73%23-1.000000x-1.000000x1.262621x1.262621x1.26x13.769%13.8%17.386%17.4%24-1.000000x-1.000000x1.256865x1.256865x1.26x8.802%8.80%11.063%11.1%25-1.000000x-1.000000x1.243622x1.243622x1.24x8.756%8.76%10.889%10.9%26-1.000000x-1.000000x1.240605x1.240605x1.24x10.591%10.6%13.140%13.1%27-1.000000x-1.000000x1.240273x1.240273x1.24x8.609%8.61%10.677%10.7%28-1.000000x-1.000000x1.209127x1.209127x1.21x5.416%5.42%6.548%6.55%29-1.000000x-1.000000x1.202924x1.202924x1.20x8.243%8.24%9.916%9.92%30-1.000000x-1.000000x1.202089x1.202089x1.20x10.808%10.8%12.993%13.0%31-1.000000x-1.000000x1.187560x1.187560x1.19x10.086%10.1%11.978%12.0%32-1.000000x-1.000000x1.169090x1.169090x1.17x9.108%9.11%10.648%10.6%33-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%34-1.000000x-1.000000x1.117682x1.117682x1.12x9.262%9.26%10.352%10.4%-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%35-1.000000x-1.000000x1.114709x1.114709x1.11x8.650%8.65%9.642%9.64%36-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.096677x1.096677x1.10x12.182%12.2%13.359%13.4%37-1.000000x-1.000000x1.083462x1.083462x1.08x9.107%9.11%9.867%9.87%38-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%39-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.058347x1.058347x1.06x9.571%9.57%10.129%10.1%40-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.045687x1.045687x1.05x10.357%10.4%10.830%10.8%41-1.000000x-1.000000x1.038959x1.038959x1.04x9.443%9.44%9.811%9.81%42-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%43-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%44-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%45-1.009543x-1.009543x1.01x1.000000x1.000000x9.199%9.20%9.112%9.11%46-1.021465x-1.021465x1.02x1.000000x1.000000x7.368%7.37%7.213%7.21%47-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%48-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%49-1.062799x-1.062799x1.06x1.000000x1.000000x10.082%10.1%9.486%9.49%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Monroe County, selected other counties in New York, and entities that contain Monroe County
Female
Male
1x0x1x2xFM#NiagaraWarrenChemungChautauquaSteubenOneidaCattaraugusBroomeFranklinSaratogaFultonSt. LawrenceChenangoErieSchenectadyDutchessOtsegoSuffolkMadisonWestchesterAlbanyNassauHerkimerMonroeClintonRocklandSullivanOnondagaTompkinsUnited StatesOswegoColumbiaMiddle AtlanticRochesterNortheastPutnamCayugaNew YorkRensselaerLivingstonWayneQueensOntarioKingsGeneseeCortlandNew YorkRichmondUlsterBronxOrangeTiogaWashingtonJeffersonMontgomery-1.000000x-1.000000x2.623417x2.623417x2.62x0.933%0.93%2.448%2.45%1-1.000000x-1.000000x2.309887x2.309887x2.31x1.703%1.70%3.935%3.93%2-1.000000x-1.000000x2.269046x2.269046x2.27x1.285%1.28%2.915%2.92%3-1.000000x-1.000000x2.184543x2.184543x2.18x1.172%1.17%2.560%2.56%4-1.000000x-1.000000x2.072852x2.072852x2.07x1.439%1.44%2.982%2.98%5-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%6-1.000000x-1.000000x2.040766x2.040766x2.04x0.827%0.83%1.687%1.69%7-1.000000x-1.000000x1.874729x1.874729x1.87x2.193%2.19%4.112%4.11%8-1.000000x-1.000000x1.828162x1.828162x1.83x1.279%1.28%2.338%2.34%9-1.000000x-1.000000x1.825162x1.825162x1.83x2.748%2.75%5.015%5.02%10-1.000000x-1.000000x1.789442x1.789442x1.79x0.696%0.70%1.245%1.25%11-1.000000x-1.000000x1.720279x1.720279x1.72x2.168%2.17%3.730%3.73%12-1.000000x-1.000000x1.688019x1.688019x1.69x0.996%1.00%1.682%1.68%13-1.000000x-1.000000x1.678671x1.678671x1.68x2.792%2.79%4.687%4.69%14-1.000000x-1.000000x1.661166x1.661166x1.66x2.488%2.49%4.133%4.13%15-1.000000x-1.000000x1.644543x1.644543x1.64x2.753%2.75%4.527%4.53%16-1.000000x-1.000000x1.631087x1.631087x1.63x3.226%3.23%5.262%5.26%17-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%18-1.000000x-1.000000x1.619958x1.619958x1.62x2.309%2.31%3.741%3.74%19-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%20-1.000000x-1.000000x1.595049x1.595049x1.60x4.329%4.33%6.905%6.91%21-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%22-1.000000x-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%23-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%24-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%25-1.000000x-1.000000x1.553427x1.553427x1.55x3.593%3.59%5.581%5.58%26-1.000000x-1.000000x1.543599x1.543599x1.54x1.758%1.76%2.713%2.71%27-1.000000x-1.000000x1.532394x1.532394x1.53x3.321%3.32%5.090%5.09%28-1.000000x-1.000000x1.530493x1.530493x1.53x9.865%9.87%15.099%15.1%29-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519403x1.519403x1.52x1.035%1.04%1.573%1.57%30-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%31-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.494686x1.494686x1.49x2.908%2.91%4.346%4.35%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.478281x1.478281x1.48x2.851%2.85%4.215%4.22%32-1.000000x-1.000000x1.439375x1.439375x1.44x1.445%1.44%2.080%2.08%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.395730x1.395730x1.40x2.756%2.76%3.847%3.85%34-1.000000x-1.000000x1.390949x1.390949x1.39x2.257%2.26%3.140%3.14%35-1.000000x-1.000000x1.314960x1.314960x1.31x1.203%1.20%1.581%1.58%36-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%37-1.000000x-1.000000x1.271962x1.271962x1.27x2.915%2.91%3.707%3.71%38-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%39-1.000000x-1.000000x1.261523x1.261523x1.26x1.368%1.37%1.725%1.73%40-1.000000x-1.000000x1.254260x1.254260x1.25x2.122%2.12%2.662%2.66%41-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%42-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%43-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.187784x1.187784x1.19x2.353%2.35%2.795%2.80%46-1.000000x-1.000000x1.095052x1.095052x1.10x1.577%1.58%1.726%1.73%47-1.000000x-1.000000x1.081362x1.081362x1.08x1.425%1.43%1.541%1.54%48-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%49-1.069542x-1.069542x1.07x1.000000x1.000000x1.348%1.35%1.260%1.26%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Monroe County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Monroe County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Monroe County, selected other counties in the United States, and entities that contain Monroe County
0%5%10%15%20%25%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookNew YorkSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangeMiddle AtlanticPima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardNortheastCuyahoga CountyCuyahogaContra Costa CountyContra CostaMecklenburg CountyMecklenburgSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkRochester Metro AreaRochesterFranklin CountyFranklinMonroe CountyMonroeNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1714.076424%14.076424%14.1%1,900,8921.90M13.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.313400%12.313400%12.3%3,505,1913.51M12.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.614335%11.614335%11.6%4,487,0854.49M11.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.781532%9.781532%9.8%71,98272.0k9.640656%9.640656%9.6%78,29978.3k389.616412%9.616412%9.6%48,77848.8k9.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Monroe County, selected other counties in the United States, and entities that contain Monroe County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinMonroe CountyMonroeSan Diego CountySan DiegoCook CountyCookNortheastNew YorkSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsMiddle AtlanticHonolulu CountyHonoluluRochester Metro AreaRochesterSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.664715%36.664715%36.7%185,977186k36.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.644618%33.644618%33.6%9,577,4379.58M33.350646%33.350646%33.4%224,744225k2733.002988%33.002988%33.0%242,868243k32.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4127.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Monroe County, selected other counties in the United States, and entities that contain Monroe County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookNew YorkMonroe CountyMonroeCuyahoga CountyCuyahogaPima CountyPimaNortheastHonolulu CountyHonoluluSuffolk CountySuffolkMiddle AtlanticMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgRochester Metro AreaRochesterBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeBexar CountyBexarQueens CountyQueensFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.230387%4.230387%4.2%571,275571k4.201981%4.201981%4.2%21,31421.3k4.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k254.085016%4.085016%4.1%1,578,2061.58M3.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.884861%3.884861%3.9%1,105,8831.11M3.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.593166%3.593166%3.6%26,44226.4k3.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Monroe County, selected other counties in the United States, and entities that contain Monroe County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoDallasRochesterSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookNortheastMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeMiddle AtlanticFranklinSacramentoMontgomeryNew YorkMonroeBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117682x1.117682x1.12x9.262%9.26%10.352%10.4%-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.038959x1.038959x1.04x9.443%9.44%9.811%9.81%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Monroe County, selected other counties in the United States, and entities that contain Monroe County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyNassauBrowardClarkFranklinMecklenburgMonroeFairfaxWayneUnited StatesSanta ClaraFultonMiddle AtlanticRochesterContra CostaMilwaukeeSan DiegoNortheastOrangeFresnoHillsboroughHarrisNew YorkMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.494686x1.494686x1.49x2.908%2.91%4.346%4.35%-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Principal City:
Rochester
Cities:
Rochester
Towns:
Brighton, Chili, Clarkson, East Rochester, Gates, Greece, Hamlin, Henrietta, Irondequoit, Mendon, Ogden, Parma, Penfield, Perinton, Pittsford, Riga, Rush, Sweden, Webster, Wheatland
Unincorporated Places:
Brighton, Clarkson, Gates, Greece, Hamlin, Irondequoit, North Gates
Villages:
Brockport, Churchville, East Rochester, Fairport, Hilton, Honeoye Falls, Pittsford, Scottsville, Spencerport, Webster
ZIP Codes:
14414, 14416, 14420, 14428, 14445, 14450, 14464, 14467, 14468, 14470, 14472, 14476, 14482, 14502, 14506, 14511, 14514, 14519, 14526, 14534, 14543, 14546, 14559, 14564, 14580, 14586, 14604, 14605, 14606, 14607, 14608, 14609, 14610, 14611, 14612, 14613, 14614, 14615, 14616, 14617, 14618, 14619, 14620, 14621, 14622, 14623, 14624, 14625, 14626, 14627
Unified School Districts:
Avon, Brighton, Brockport, Byron-Bergen, Caledonia-Mumford, Churchville-Chili, East Irondequoit, East Rochester, Fairport, Gates-Chili, Greece, Hilton, Holley, Honeoye Falls-Lima, Kendall, Penfield, Pittsford, Rochester, Rush-Henrietta, Spencerport, Victor, Wayne, Webster, West Irondequoit, Wheatland-Chili
Congressional Districts:
NY-25, NY-27
State Senate Districts:
NY-54, NY-55, NY-56, NY-59, NY-61, NY-62
Assembly Districts:
NY-133, NY-134, NY-135, NY-136, NY-137, NY-138, NY-139
Neighboring Counties:
Genesee, Livingston, Ontario, Orleans, Wayne
Nearby Counties:
Wyoming