Educational Attainment in Schenectady County, New York (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of New York and Schenectady County
Schenectady County
New York
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma242.674493%43.362833%42.674493%42.7%45,29345.3k47.555966%42.560743%47.555966%47.6%50,47450.5k9.769541%14.076424%9.769541%9.8%10,36910.4k
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 Schenectady County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-1.587397%-1.587397%-1.6%42.674%42.7%43.363%43.4%11.736692%11.736692%+11.7%47.556%47.6%42.561%42.6%-30.596429%-30.596429%-30.6%9.770%9.77%14.076%14.1%
% percentage with given level in Schenectady 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 Schenectady County
Schenectady County
New York
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.623389%1.473954%1.623389%1.6%1,7231.646001%2.756433%1.646001%1.6%1,74710.570400%10.855739%10.570400%10.6%11,21911.2k16.741728%19.654818%16.741728%16.7%17,76917.8k12.092975%8.621889%12.092975%12.1%12,83512.8k17.902502%16.128337%17.902502%17.9%19,00119.0k29.653463%26.432406%29.653463%29.7%31,47331.5k5.958393%7.544155%5.958393%6.0%6,3242.337567%4.633976%2.337567%2.3%2,4811.473581%1.898293%1.473581%1.5%1,564
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 Schenectady County
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None10.138351%10.138351%+10.1%1.623%1.62%1.474%1.47%-40.285095%-40.285095%-40.3%1.646%1.65%2.756%2.76%-2.628460%-2.628460%-2.6%10.570%10.6%10.856%10.9%-14.821256%-14.821256%-14.8%16.742%16.7%19.655%19.7%40.259003%40.259003%+40.3%12.093%12.1%8.622%8.62%11.000301%11.000301%+11.0%17.903%17.9%16.128%16.1%12.186018%12.186018%+12.2%29.653%29.7%26.432%26.4%-21.019747%-21.019747%-21.0%5.958%5.96%7.544%7.54%-49.555916%-49.555916%-49.6%2.338%2.34%4.634%4.63%-22.373342%-22.373342%-22.4%1.474%1.47%1.898%1.90%
% percentage with given level in Schenectady 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 Schenectady County
More Females More Males
New York
Schenectady County
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.859826%-7.071483%-1.859826%2%43.048%43.0%42.262%42.3%-2.875561%-2.875561%3%5.599805%48.196%48.2%46.849%46.8%24.362169%4.608047%24.362169%24%8.756%8.76%10.889%10.9%
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 Schenectady County
More Females More Males
New York
Schenectady County
0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None105.725327%44.135478%105.725327%106%1.081%1.08%2.223%2.22%35.702817%40.202453%35.702817%36%1.407%1.41%1.910%1.91%-35.349972%-35.501157%-35.349972%35%12.068%12.1%8.916%8.92%8.519092%2.270902%8.519092%9%16.090%16.1%17.461%17.5%-5.529749%-20.836943%-5.529749%6%12.402%12.4%11.752%11.8%-9.354525%-9.354525%9%6.906283%18.661%18.7%17.065%17.1%0.843559%4.810298%0.843559%1%29.535%29.5%29.784%29.8%25.239036%10.700533%25.239036%25%5.320%5.32%6.663%6.66%-0.222558%28.282348%28.282348%28%2.061%2.06%2.643%2.64%-6.719664%15.094020%15.094020%15%1.375%1.37%1.583%1.58%
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 Schenectady County
Schenectady County
New York
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3412.452257%12.423176%12.452257%12.5%3,03224,34924.3k17.483585%17.896303%17.483585%17.5%7,56243,25243.3k17.178397%21.971563%17.178397%17.2%3,27319,05319.1k20.028744%28.276328%20.028744%20.0%3,90219,48219.5k
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 Schenectady County
25%20%15%10%5%0%%ref.65+45-6435-4425-340.234082%0.234082%0.2%12.452%12.5%12.423%12.4%-2.306167%-2.306167%2.3%17.484%17.5%17.896%17.9%-21.815316%-21.815316%21.8%17.178%17.2%21.972%22.0%-29.167801%-29.167801%29.2%20.029%20.0%28.276%28.3%
% percentage in Schenectady 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 Schenectady County
More Females More Males
New York
Schenectady County
0%20%40%60%FM65+45-6435-4425-3471.374466%33.023651%71.374466%71.4%9.572%9.57%16.404%16.4%-0.166759%-0.166759%0.2%1.970870%17.498%17.5%17.469%17.5%-12.842184%-6.438767%-12.842184%12.8%18.210%18.2%16.138%16.1%-1.546881%-12.233214%-1.546881%1.5%20.181%20.2%19.873%19.9%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of New York and Schenectady County
Schenectady County
New York
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$65,723.000000$72,399.000000$65,723.000000$65.7k14,68914.7k13.840%13.8%$50,328.000000$55,375.000000$50,328.000000$50.3k17,76917.8k16.742%16.7%$35,806.000000$36,986.000000$35,806.000000$35.8k31,83631.8k29.995%30.0%$27,092.000000$30,365.000000$27,092.000000$27.1k31,47331.5k29.653%29.7%$21,696.000000$20,519.000000$21,696.000000$21.7k10,36910.4k9.770%9.77%$37,967.000000$41,004.000000$37,967.000000$38.0k106,136106k100.000%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 Schenectady County
Female Male
New York
Schenectady County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-56,034.000000$-63,343.000000$-56,034.000000$56.0k$56,034.000000$26,636.000000$63,343.000000$23,803.000000$82,670.000000$82.7k8,1096,580$-45,245.000000$-49,056.000000$-45,245.000000$45.2k$45,245.000000$16,323.000000$49,056.000000$15,512.000000$61,568.000000$61.6k8,9648,805$-31,875.000000$-31,735.000000$-31,875.000000$31.9k$31,875.000000$10,169.000000$31,735.000000$11,868.000000$42,044.000000$42.0k17,30517.3k14,53114.5k$-22,747.000000$-24,345.000000$-22,747.000000$22.7k$22,747.000000$8,804.000000$24,345.000000$11,127.000000$31,551.000000$31.6k16,45416.5k15,01915.0k$-15,683.000000$-16,152.000000$-15,683.000000$15.7k$15,683.000000$10,923.000000$16,152.000000$7,310.000000$26,606.000000$26.6k4,8785,491$-32,488.000000$-35,927.000000$-32,488.000000$32.5k$32,488.000000$10,498.000000$35,927.000000$10,547.000000$42,986.000000$43.0k55,71055.7k50,42650.4k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of New York and Schenectady County
Schenectady County
New York
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma316.071429%35.024821%16.071429%16.1%1865.178571%49.578441%65.178571%65.2%7318.750000%15.176109%18.750000%18.8%210.000000%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 Schenectady County
Schenectady County
New York
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.850572%83.757888%83.850572%83.9%21,75021.8k74.594881%74.250177%74.594881%74.6%19,70219.7k70.584055%66.710729%70.584055%70.6%15,89215.9k50.541829%53.477224%50.541829%50.5%3,498
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 Schenectady County
Female Male
New York
Schenectady County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-5.947329%-7.010475%-5.947329%5.9%5.947329%1.624557%7.010475%0.656174%7.571887%7.6%3,0232,649-13.130862%-16.701438%-13.130862%13.1%13.130862%3.873377%16.701438%1.459915%17.004239%17.0%722588-17.426637%-20.301815%-2.571975%-17.426637%17.4%17.426637%0.012446%20.301815%17.439083%17.4%365386-19.361122%-31.379019%-19.361122%19.4%19.361122%7.187551%31.379019%1.968087%26.548673%26.5%660497-33.278255%-31.931206%-33.278255%33.3%33.278255%4.208656%31.931206%2.116169%37.486911%37.5%1,0741,007
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 Schenectady County
Female Male
New York
Schenectady County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-32.520599%-40.543483%-0.368528%-32.520599%32.5%32.520599%0.339335%40.543483%32.859934%32.9%13,11913.1k14,48514.5k-17.451719%-1.462975%-19.678068%-5.271968%-18.914694%18.9%17.451719%19.678068%17.451719%17.5%741847-46.365688%-45.028356%-46.365688%46.4%46.365688%7.002682%45.028356%1.700641%53.368371%53.4%1,1171,027-10.579244%-8.275450%-15.579824%-4.078609%-18.854694%18.9%10.579244%15.579824%10.579244%10.6%263484-8.795812%-5.513508%-15.106332%-4.239492%-14.309319%14.3%8.795812%15.106332%8.795812%8.8%252433
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 Schenectady 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
31%39%46%53%61%68%

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
28.7%33.8%38.8%43.7%48.7%53.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%5.9%8.5%11.0%13.5%16.1%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%1.5%2.6%3.7%4.8%6.0%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%1.7%2.7%3.7%4.7%5.7%

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
6.0%9.2%12.4%15.6%18.7%22.0%

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
13.3%15.7%18.2%20.6%23.0%25.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.2%9.0%10.6%12.3%14.0%15.7%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
11.8%13.7%15.4%17.2%18.9%20.8%

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
16.9%20.4%23.9%27.4%30.8%34.4%

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
1.2%2.9%4.6%6.3%8.0%9.7%

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%0.8%1.6%2.5%3.3%4.2%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.37%0.76%1.15%1.53%1.92%2.31%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Schenectady 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
12%26%39%52%66%79%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
18%28%37%47%57%67%

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%6%12%18%23%30%

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%2.6%5.1%7.7%10.2%12.8%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.6%3.2%4.8%6.5%8.1%

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%22%28%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%8.4%13.4%18.4%23.3%28.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.5%7.8%11.2%14.5%17.9%21.3%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
7.5%11.5%15.5%19.4%23.4%27.4%

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
10%18%26%34%42%50%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.4%8.9%13.3%17.8%22.2%

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%2.7%5.4%8.1%10.8%13.6%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.4%2.8%4.3%5.7%7.2%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Schenectady County

There are 9 places in Schenectady County. This section compares all 9 of those to each other, Schenectady County, and other entities that contain or substantially overlap with Schenectady 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 Schenectady County, selected places in Schenectady County, and entities that contain Schenectady County
0%5%10%15%Count#SchenectadyNew YorkUnited States of AmericaUnited StatesMiddle AtlanticNortheastSchenectady CountySchenectadyAlbany, Schenectady, and Troy Metro AreaAlbany AreaRotterdamMariaville LakeMariaville LkScotiaEast GlenvilleE GlenvilleDelansonNiskayunaDuanesburgDuane Lake16.053840%16.053840%16.1%7,025114.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M9.769541%9.769541%9.8%10,36910.4k7.787188%7.787188%7.8%46,75746.8k6.934307%6.934307%6.9%1,00724.424779%4.424779%4.4%1533.890463%3.890463%3.9%20643.805175%3.805175%3.8%17551.219512%1.219512%1.2%360.885536%0.885536%0.9%2770.000000%0.000000%0.0%080.000000%0.000000%0.0%09
Count number of people in category
# rank of place out of 9 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 Schenectady County, selected places in Schenectady County, and entities that contain Schenectady County
0%20%40%60%Count#NiskayunaDuane LakeEast GlenvilleE GlenvilleAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastNew YorkMiddle AtlanticScotiaSchenectady CountySchenectadyUnited States of AmericaUnited StatesMariaville LakeMariaville LkDelansonDuanesburgRotterdamSchenectady63.627419%63.627419%63.6%1,940152.016129%52.016129%52.0%129238.030007%38.030007%38.0%1,749335.475280%35.475280%35.5%213,006213k34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M31.558074%31.558074%31.6%1,671430.581518%30.581518%30.6%32,45832.5k30.315023%30.315023%30.3%64,767,78764.8M29.498525%29.498525%29.5%100526.422764%26.422764%26.4%65622.709163%22.709163%22.7%57722.503787%22.503787%22.5%3,268821.072237%21.072237%21.1%9,2219
Count number of people in category
# rank of place out of 9 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 Schenectady County, selected places in Schenectady County, and entities that contain Schenectady County
0%2%4%6%8%10%12%Count#Duane LakeMariaville LakeMariaville LkNiskayunaNew YorkAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastMiddle AtlanticUnited States of AmericaUnited StatesSchenectady CountySchenectadyEast GlenvilleE GlenvilleDelansonScotiaSchenectadyRotterdamDuanesburg12.096774%12.096774%12.1%3019.734513%9.734513%9.7%3328.888160%8.888160%8.9%27134.230387%4.230387%4.2%571,275571k4.141497%4.141497%4.1%24,86724.9k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M3.269390%3.269390%3.3%3,4702.826701%2.826701%2.8%13042.439024%2.439024%2.4%651.813031%1.813031%1.8%9661.771064%1.771064%1.8%77570.970941%0.970941%1.0%14180.000000%0.000000%0.0%09
Count number of people in category
# rank of place out of 9 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 Schenectady County, selected places in Schenectady County, and entities that contain Schenectady County
Female
Male
10x8x6x4x2x0xFM#SchenectadySchenectadyRotterdamAlbany AreaUnited StatesNortheastMiddle AtlanticNew YorkE GlenvilleScotiaDelansonNiskayunaMariaville Lk-1.000000x-1.000000x1.282414x1.282414x1.28x14.131%14.1%18.122%18.1%1-1.000000x-1.000000x1.243622x1.243622x1.24x8.756%8.76%10.889%10.9%-1.000000x-1.000000x1.176455x1.176455x1.18x6.403%6.40%7.533%7.53%2-1.000000x-1.000000x1.150102x1.150102x1.15x7.265%7.26%8.355%8.36%-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-1.000000x1.016270x1.016270x1.02x3.776%3.78%3.837%3.84%3-1.410378x-1.410378x1.41x1.000000x1.000000x4.464%4.46%3.165%3.17%4-2.100000x-2.100000x2.10x1.000000x1.000000x1.667%1.67%0.794%0.79%5-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.582%1.58%0.000%0%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x11.628%11.6%0.000%0%7
F percentage of females in category
M percentage of males in category
# rank of place out of 7 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 Schenectady County, selected places in Schenectady County, and entities that contain Schenectady County
Female
Male
5x0x5x10xFM#Mariaville LkDuane LakeScotiaE GlenvilleSchenectadyAlbany AreaUnited StatesMiddle AtlanticNortheastSchenectadyNiskayunaNew YorkRotterdamDelanson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.714%15.7%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%19.231%19.2%2-1.000000x-1.000000x3.071551x3.071551x3.07x0.947%0.95%2.908%2.91%3-1.000000x-1.000000x2.079590x2.079590x2.08x1.867%1.87%3.883%3.88%4-1.000000x-1.000000x1.661166x1.661166x1.66x2.488%2.49%4.133%4.13%-1.000000x-1.000000x1.624742x1.624742x1.62x3.188%3.19%5.179%5.18%-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-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.435683x1.435683x1.44x1.464%1.46%2.102%2.10%5-1.000000x-1.000000x1.421043x1.421043x1.42x7.499%7.50%10.656%10.7%6-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.196396x-1.196396x1.20x1.000000x1.000000x1.052%1.05%0.879%0.88%7-5.250000x-5.250000x5.25x1.000000x1.000000x4.167%4.17%0.794%0.79%8
F percentage of females in category
M percentage of males in category
# rank of place out of 8 by male-to-female sex ratio

Educational Attainment by County Subdivision in Schenectady County

There are 6 county subdivisions in Schenectady County. This section compares all 6 of those to each other, Schenectady County, and other entities that contain or substantially overlap with Schenectady 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 Schenectady County, selected county subdivisions in Schenectady County, and entities that contain Schenectady County
0%5%10%15%Count#SchenectadyNew YorkUnited States of AmericaUnited StatesMiddle AtlanticNortheastSchenectady CountySchenectadyTown of PrincetownPrincetownAlbany, Schenectady, and Troy Metro AreaAlbany AreaTown of RotterdamRotterdamTown of DuanesburgDuanesburgTown of GlenvilleGlenvilleTown of NiskayunaNiskayuna16.053840%16.053840%16.1%7,025114.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M9.769541%9.769541%9.8%10,36910.4k8.844416%8.844416%8.8%13727.787188%7.787188%7.8%46,75746.8k6.965974%6.965974%7.0%1,42936.537474%6.537474%6.5%28044.707854%4.707854%4.7%98353.399116%3.399116%3.4%5156
Count number of people in category
# rank of county subdivision 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 Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Schenectady County, selected county subdivisions in Schenectady County, and entities that contain Schenectady County
0%10%20%30%40%50%Count#Town of NiskayunaNiskayunaTown of PrincetownPrincetownAlbany, Schenectady, and Troy Metro AreaAlbany AreaTown of GlenvilleGlenvilleNortheastNew YorkMiddle AtlanticSchenectady CountySchenectadyUnited States of AmericaUnited StatesTown of DuanesburgDuanesburgTown of RotterdamRotterdamSchenectady58.992806%58.992806%59.0%8,938137.830859%37.830859%37.8%586235.475280%35.475280%35.5%213,006213k35.383142%35.383142%35.4%7,388334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M30.581518%30.581518%30.6%32,45832.5k30.315023%30.315023%30.3%64,767,78764.8M27.504086%27.504086%27.5%1,178425.090182%25.090182%25.1%5,147521.072237%21.072237%21.1%9,2216
Count number of people in category
# rank of county subdivision 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 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 Schenectady County, selected county subdivisions in Schenectady County, and entities that contain Schenectady County
0%2%4%6%8%10%Count#Town of NiskayunaNiskayunaTown of PrincetownPrincetownNew YorkAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastMiddle AtlanticUnited States of AmericaUnited StatesSchenectady CountySchenectadyTown of DuanesburgDuanesburgTown of GlenvilleGlenvilleSchenectadyTown of RotterdamRotterdam11.622995%11.622995%11.6%1,76114.454487%4.454487%4.5%6924.230387%4.230387%4.2%571,275571k4.141497%4.141497%4.1%24,86724.9k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M3.269390%3.269390%3.3%3,4702.965211%2.965211%3.0%12732.423372%2.423372%2.4%50641.771064%1.771064%1.8%77551.130935%1.130935%1.1%2326
Count number of people in category
# rank of county subdivision 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 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 Schenectady County, selected county subdivisions in Schenectady County, and entities that contain Schenectady County
Female
Male
1x0x1x2x3xFM#DuanesburgPrincetownSchenectadySchenectadyAlbany AreaUnited StatesRotterdamNortheastMiddle AtlanticNew YorkGlenvilleNiskayuna-1.000000x-1.000000x3.544639x3.544639x3.54x2.917%2.92%10.340%10.3%1-1.000000x-1.000000x2.144418x2.144418x2.14x5.813%5.81%12.465%12.5%2-1.000000x-1.000000x1.282414x1.282414x1.28x14.131%14.1%18.122%18.1%3-1.000000x-1.000000x1.243622x1.243622x1.24x8.756%8.76%10.889%10.9%-1.000000x-1.000000x1.150102x1.150102x1.15x7.265%7.26%8.355%8.36%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107926x1.107926x1.11x6.626%6.63%7.342%7.34%4-1.000000x-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-1.000000x1.015089x1.015089x1.02x4.675%4.68%4.746%4.75%5-1.471837x-1.471837x1.47x1.000000x1.000000x4.013%4.01%2.726%2.73%6
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 6 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 Schenectady County, selected county subdivisions in Schenectady County, and entities that contain Schenectady County
Female
Male
1x0x1x2xFM#DuanesburgNiskayunaGlenvilleSchenectadyAlbany AreaUnited StatesMiddle AtlanticNortheastSchenectadyNew YorkPrincetownRotterdam-1.000000x-1.000000x2.760692x2.760692x2.76x1.595%1.60%4.404%4.40%1-1.000000x-1.000000x1.811924x1.811924x1.81x8.379%8.38%15.181%15.2%2-1.000000x-1.000000x1.687639x1.687639x1.69x1.842%1.84%3.108%3.11%3-1.000000x-1.000000x1.661166x1.661166x1.66x2.488%2.49%4.133%4.13%-1.000000x-1.000000x1.624742x1.624742x1.62x3.188%3.19%5.179%5.18%-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-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.435683x1.435683x1.44x1.464%1.46%2.102%2.10%4-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.302601x1.302601x1.30x3.915%3.91%5.099%5.10%5-1.000000x-1.000000x1.145197x1.145197x1.15x1.058%1.06%1.212%1.21%6
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 6 by male-to-female sex ratio

Educational Attainment by County in the Albany Area

There are 5 counties in the Albany Area. This section compares Schenectady County to all of the counties in the Albany Area and to those entities that contain or substantially overlap with Schenectady 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 Schenectady County, selected other counties in the Albany Area, and entities that contain Schenectady County
0%5%10%Count#New YorkUnited States of AmericaUnited StatesMiddle AtlanticNortheastSchoharie CountySchoharieSchenectady CountySchenectadyRensselaer CountyRensselaerAlbany, Schenectady, and Troy Metro AreaAlbany AreaAlbany CountyAlbanySaratoga CountySaratoga14.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.481885%11.481885%11.5%2,52919.769541%9.769541%9.8%10,36910.4k28.667169%8.667169%8.7%9,53937.787188%7.787188%7.8%46,75746.8k7.294501%7.294501%7.3%14,88114.9k45.966083%5.966083%6.0%9,4395
Count number of people in category
# rank of county out of 5 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 Schenectady County, selected other counties in the Albany Area, and entities that contain Schenectady County
0%10%20%30%Count#Albany CountyAlbanySaratoga CountySaratogaAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastNew YorkMiddle AtlanticSchenectady CountySchenectadyUnited States of AmericaUnited StatesRensselaer CountyRensselaerSchoharie CountySchoharie39.728337%39.728337%39.7%81,04781.0k139.649582%39.649582%39.6%62,73062.7k235.475280%35.475280%35.5%213,006213k34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M30.581518%30.581518%30.6%32,45832.5k330.315023%30.315023%30.3%64,767,78764.8M29.310642%29.310642%29.3%32,25932.3k420.484882%20.484882%20.5%4,5125
Count number of people in category
# rank of county out of 5 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 Schenectady County, selected other counties in the Albany Area, and entities that contain Schenectady County
0%1%2%3%4%5%Count#Albany CountyAlbanyNew YorkAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastMiddle AtlanticSaratoga CountySaratogaUnited States of AmericaUnited StatesRensselaer CountyRensselaerSchenectady CountySchenectadySchoharie CountySchoharie5.550409%5.550409%5.6%11,32311.3k14.230387%4.230387%4.2%571,275571k4.141497%4.141497%4.1%24,86724.9k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.849922%3.849922%3.8%6,09123.336158%3.336158%3.3%7,127,6737.13M3.277333%3.277333%3.3%3,60733.269390%3.269390%3.3%3,47041.707073%1.707073%1.7%3765
Count number of people in category
# rank of county out of 5 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 Schenectady County, selected other counties in the Albany Area, and entities that contain Schenectady County
Female
Male
1.0x0.5x0.0x0.5x1.0xFM#SchoharieRensselaerSchenectadySaratogaAlbany AreaUnited StatesNortheastMiddle AtlanticNew YorkAlbany-1.000000x-1.000000x1.279124x1.279124x1.28x10.089%10.1%12.905%12.9%1-1.000000x-1.000000x1.263722x1.263722x1.26x7.697%7.70%9.727%9.73%2-1.000000x-1.000000x1.243622x1.243622x1.24x8.756%8.76%10.889%10.9%3-1.000000x-1.000000x1.209127x1.209127x1.21x5.416%5.42%6.548%6.55%4-1.000000x-1.000000x1.150102x1.150102x1.15x7.265%7.26%8.355%8.36%-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%-1.021465x-1.021465x1.02x1.000000x1.000000x7.368%7.37%7.213%7.21%5
F percentage of females in category
M percentage of males in category
# rank of county out of 5 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 Schenectady County, selected other counties in the Albany Area, and entities that contain Schenectady County
Female
Male
1x0x1x2xFM#SchoharieSaratogaSchenectadyAlbany AreaAlbanyUnited StatesMiddle AtlanticNortheastNew YorkRensselaer-1.000000x-1.000000x2.027106x2.027106x2.03x1.132%1.13%2.295%2.29%1-1.000000x-1.000000x1.825162x1.825162x1.83x2.748%2.75%5.015%5.02%2-1.000000x-1.000000x1.661166x1.661166x1.66x2.488%2.49%4.133%4.13%3-1.000000x-1.000000x1.624742x1.624742x1.62x3.188%3.19%5.179%5.18%-1.000000x-1.000000x1.595049x1.595049x1.60x4.329%4.33%6.905%6.91%4-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.395730x1.395730x1.40x2.756%2.76%3.847%3.85%5
F percentage of females in category
M percentage of males in category
# rank of county out of 5 by male-to-female sex ratio

Educational Attainment by County in New York

There are 62 counties in New York. This section compares Schenectady County to the 50 most populous counties in New York and to those entities that contain or substantially overlap with Schenectady 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 Schenectady County, selected other counties in New York, and entities that contain Schenectady 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 CountyChemungSchenectady CountySchenectadyTioga CountyTiogaMonroe CountyMonroeMadison CountyMadisonCortland CountyCortlandOtsego CountyOtsegoOnondaga CountyOnondagaErie CountyErieNiagara CountyNiagaraNassau CountyNassauGenesee CountyGeneseeWarren CountyWarrenRensselaer CountyRensselaerAlbany, Schenectady, and Troy Metro AreaAlbany AreaOntario 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%5,909329.769541%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%9,539457.787188%7.787188%7.8%46,75746.8k7.365555%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 Schenectady County, selected other counties in New York, and entities that contain Schenectady County
0%10%20%30%40%50%60%Count#New York CountyNew YorkTompkins CountyTompkinsWestchester CountyWestchesterNassau CountyNassauRockland CountyRocklandAlbany CountyAlbanySaratoga CountySaratogaPutnam CountyPutnamMonroe CountyMonroeAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastNew YorkSuffolk CountySuffolkOnondaga CountyOnondagaKings CountyKingsDutchess CountyDutchessMiddle AtlanticErie CountyErieOntario CountyOntarioRichmond CountyRichmondUlster CountyUlsterQueens CountyQueensSchenectady CountySchenectadyUnited States of AmericaUnited StatesColumbia CountyColumbiaRensselaer CountyRensselaerOrange CountyOrangeOtsego CountyOtsegoWarren CountyWarrenBroome CountyBroomeMadison CountyMadisonTioga CountyTiogaCortland CountyCortlandLivingston CountyLivingstonChemung CountyChemungOneida CountyOneidaNiagara 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%185,977186k935.475280%35.475280%35.5%213,006213k34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.384794%34.384794%34.4%352,396352k1034.320248%34.320248%34.3%108,128108k1134.081468%34.081468%34.1%597,685598k1233.970605%33.970605%34.0%68,85468.9k1333.644618%33.644618%33.6%9,577,4379.58M32.199279%32.199279%32.2%205,367205k1432.078773%32.078773%32.1%24,38524.4k1531.359684%31.359684%31.4%101,712102k1630.970817%30.970817%31.0%39,95740.0k1730.595789%30.595789%30.6%499,006499k1830.581518%30.581518%30.6%32,45832.5k1930.315023%30.315023%30.3%64,767,78764.8M29.520457%29.520457%29.5%13,50013.5k2029.310642%29.310642%29.3%32,25932.3k2128.697360%28.697360%28.7%68,36468.4k2228.503348%28.503348%28.5%11,36411.4k2328.416879%28.416879%28.4%13,47513.5k2427.757647%27.757647%27.8%36,23436.2k2526.710919%26.710919%26.7%12,71612.7k2625.036448%25.036448%25.0%8,7582724.782438%24.782438%24.8%7,5752824.476197%24.476197%24.5%10,43210.4k2924.443929%24.443929%24.4%14,75914.8k3023.787403%23.787403%23.8%38,04738.0k3123.494485%23.494485%23.5%35,29635.3k3222.772071%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 Schenectady County, selected other counties in New York, and entities that contain Schenectady County
0%5%10%Count#Tompkins CountyTompkinsNew York CountyNew YorkWestchester CountyWestchesterNassau CountyNassauAlbany CountyAlbanyRockland CountyRocklandNew YorkOtsego CountyOtsegoMonroe CountyMonroeOnondaga CountyOnondagaAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastSuffolk CountySuffolkMiddle AtlanticSaratoga CountySaratogaErie CountyErieDutchess CountyDutchessPutnam CountyPutnamKings CountyKingsUnited States of AmericaUnited StatesColumbia CountyColumbiaOntario CountyOntarioRensselaer CountyRensselaerSchenectady CountySchenectadyUlster CountyUlsterBroome CountyBroomeRichmond CountyRichmondMadison CountyMadisonSt. Lawrence CountySt. LawrenceWarren CountyWarrenQueens CountyQueensLivingston CountyLivingstonOrange CountyOrangeClinton CountyClintonCortland CountyCortlandOneida CountyOneidaSullivan CountySullivanSteuben 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%13,09813.1k94.141497%4.141497%4.1%24,86724.9k4.085016%4.085016%4.1%1,578,2061.58M3.962200%3.962200%4.0%40,60740.6k103.884861%3.884861%3.9%1,105,8831.11M3.849922%3.849922%3.8%6,091113.688617%3.688617%3.7%23,52623.5k123.625788%3.625788%3.6%7,349133.518755%3.518755%3.5%2,455143.384967%3.384967%3.4%59,36259.4k153.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,521163.295359%3.295359%3.3%2,505173.277333%3.277333%3.3%3,607183.269390%3.269390%3.3%3,470193.219006%3.219006%3.2%4,153203.112527%3.112527%3.1%4,063213.037245%3.037245%3.0%9,851223.003823%3.003823%3.0%1,430232.953937%2.953937%3.0%2,131242.777368%2.777368%2.8%1,317252.756960%2.756960%2.8%44,96545.0k262.702893%2.702893%2.7%1,152272.566912%2.566912%2.6%6,115282.463010%2.463010%2.5%1,360292.385003%2.385003%2.4%729302.301402%2.301402%2.3%3,681312.242550%2.242550%2.2%1,189322.197947%2.197947%2.2%1,501332.085162%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 Schenectady County, selected other counties in New York, and entities that contain Schenectady County
Female
Male
1x0x1xFM#FranklinCayugaWashingtonWarrenColumbiaFultonPutnamOntarioTiogaOtsegoCortlandChemungSullivanChenangoChautauquaClintonTompkinsJeffersonOswegoSt. LawrenceWayneSteubenRensselaerMontgomeryUlsterSchenectadyCattaraugusMadisonSaratogaGeneseeOneidaLivingstonDutchessWestchesterAlbany AreaSuffolkNiagaraUnited 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-1.000000x1.150102x1.150102x1.15x7.265%7.26%8.355%8.36%-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 Schenectady County, selected other counties in New York, and entities that contain Schenectady County
Female
Male
1x0x1x2xFM#NiagaraWarrenChemungChautauquaSteubenOneidaCattaraugusBroomeFranklinSaratogaFultonSt. LawrenceChenangoErieSchenectadyDutchessOtsegoSuffolkAlbany AreaMadisonWestchesterAlbanyNassauHerkimerMonroeClintonRocklandSullivanOnondagaTompkinsUnited StatesOswegoColumbiaMiddle AtlanticNortheastPutnamCayugaNew YorkRensselaerLivingstonWayneQueensOntarioKingsGeneseeCortlandNew YorkRichmondUlsterBronxOrangeTiogaWashingtonJeffersonMontgomery-1.000000x-1.000000x2.623417x2.623417x2.62x0.933%0.93%2.448%2.45%1-1.000000x-1.000000x2.309887x2.309887x2.31x1.703%1.70%3.935%3.93%2-1.000000x-1.000000x2.269046x2.269046x2.27x1.285%1.28%2.915%2.92%3-1.000000x-1.000000x2.184543x2.184543x2.18x1.172%1.17%2.560%2.56%4-1.000000x-1.000000x2.072852x2.072852x2.07x1.439%1.44%2.982%2.98%5-1.000000x-1.000000x2.045024x2.045024x2.05x1.522%1.52%3.113%3.11%6-1.000000x-1.000000x2.040766x2.040766x2.04x0.827%0.83%1.687%1.69%7-1.000000x-1.000000x1.874729x1.874729x1.87x2.193%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-1.000000x1.624742x1.624742x1.62x3.188%3.19%5.179%5.18%-1.000000x-1.000000x1.619958x1.619958x1.62x2.309%2.31%3.741%3.74%19-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%20-1.000000x-1.000000x1.595049x1.595049x1.60x4.329%4.33%6.905%6.91%21-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%22-1.000000x-1.000000x1.573329x1.573329x1.57x1.147%1.15%1.805%1.81%23-1.000000x-1.000000x1.564866x1.564866x1.56x3.319%3.32%5.194%5.19%24-1.000000x-1.000000x1.564583x1.564583x1.56x1.907%1.91%2.983%2.98%25-1.000000x-1.000000x1.553427x1.553427x1.55x3.593%3.59%5.581%5.58%26-1.000000x-1.000000x1.543599x1.543599x1.54x1.758%1.76%2.713%2.71%27-1.000000x-1.000000x1.532394x1.532394x1.53x3.321%3.32%5.090%5.09%28-1.000000x-1.000000x1.530493x1.530493x1.53x9.865%9.87%15.099%15.1%29-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519403x1.519403x1.52x1.035%1.04%1.573%1.57%30-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%31-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.478281x1.478281x1.48x2.851%2.85%4.215%4.22%32-1.000000x-1.000000x1.439375x1.439375x1.44x1.445%1.44%2.080%2.08%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.395730x1.395730x1.40x2.756%2.76%3.847%3.85%34-1.000000x-1.000000x1.390949x1.390949x1.39x2.257%2.26%3.140%3.14%35-1.000000x-1.000000x1.314960x1.314960x1.31x1.203%1.20%1.581%1.58%36-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%37-1.000000x-1.000000x1.271962x1.271962x1.27x2.915%2.91%3.707%3.71%38-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%39-1.000000x-1.000000x1.261523x1.261523x1.26x1.368%1.37%1.725%1.73%40-1.000000x-1.000000x1.254260x1.254260x1.25x2.122%2.12%2.662%2.66%41-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%42-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%43-1.000000x-1.000000x1.218247x1.218247x1.22x2.906%2.91%3.541%3.54%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.187784x1.187784x1.19x2.353%2.35%2.795%2.80%46-1.000000x-1.000000x1.095052x1.095052x1.10x1.577%1.58%1.726%1.73%47-1.000000x-1.000000x1.081362x1.081362x1.08x1.425%1.43%1.541%1.54%48-1.000000x-1.000000x1.030563x1.030563x1.03x1.836%1.84%1.892%1.89%49-1.069542x-1.069542x1.07x1.000000x1.000000x1.348%1.35%1.260%1.26%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Schenectady County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Schenectady 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 Schenectady County, selected other counties in the United States, and entities that contain Schenectady 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 CountySuffolkSchenectady CountySchenectadyFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxAlbany, Schenectady, and Troy Metro AreaAlbany AreaWake 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%102,414102k379.769541%9.769541%9.8%10,36910.4k9.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.787188%7.787188%7.8%46,75746.8k7.696387%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 Schenectady County, selected other counties in the United States, and entities that contain Schenectady County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookAlbany, Schenectady, and Troy Metro AreaAlbany AreaNortheastNew YorkSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsMiddle AtlanticHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensSchenectady CountySchenectadyUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2335.475280%35.475280%35.5%213,006213k34.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.644618%33.644618%33.6%9,577,4379.58M33.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.581518%30.581518%30.6%32,45832.5k30.315023%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 Schenectady County, selected other counties in the United States, and entities that contain Schenectady County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookNew YorkCuyahoga CountyCuyahogaAlbany, Schenectady, and Troy Metro AreaAlbany AreaPima CountyPimaNortheastHonolulu CountyHonoluluSuffolk CountySuffolkMiddle AtlanticMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSchenectady CountySchenectadySacramento 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%571,275571k4.184410%4.184410%4.2%36,48436.5k244.141497%4.141497%4.1%24,86724.9k4.139192%4.139192%4.1%27,43827.4k254.085016%4.085016%4.1%1,578,2061.58M3.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.884861%3.884861%3.9%1,105,8831.11M3.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.269390%3.269390%3.3%3,4703.266254%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 Schenectady County, selected other counties in the United States, and entities that contain Schenectady County
Female
Male
1x0x1xFM#MecklenburgPalm BeachSchenectadyWakeWestchesterFairfieldAlbany AreaContra CostaHillsboroughFresnoDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookNortheastMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeMiddle AtlanticFranklinSacramentoMontgomeryNew YorkBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.243622x1.243622x1.24x8.756%8.76%10.889%10.9%-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-1.000000x1.150102x1.150102x1.15x7.265%7.26%8.355%8.36%-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Schenectady County, selected other counties in the United States, and entities that contain Schenectady County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeSchenectadyBexarMontgomeryPimaSuffolkAlbany AreaRiversideDallasWestchesterTarrantFairfieldAlleghenyNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonMiddle AtlanticContra CostaMilwaukeeSan DiegoNortheastOrangeFresnoHillsboroughHarrisNew YorkMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%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-1.000000x1.661166x1.661166x1.66x2.488%2.49%4.133%4.13%-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-1.000000x1.624742x1.624742x1.62x3.188%3.19%5.179%5.18%-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

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More Maps to Explore

Principal City:
Schenectady
Cities:
Schenectady
Towns:
Duanesburg, Glenville, Niskayuna, Princetown, Rotterdam
Unincorporated Places:
Duane Lake, Duanesburg, East Glenville, Mariaville Lake, Niskayuna, Rotterdam
Villages:
Delanson, Scotia
ZIP Codes:
12008, 12010, 12019, 12027, 12053, 12056, 12066, 12137, 12150, 12157, 12302, 12303, 12304, 12305, 12306, 12307, 12308, 12309
Unified School Districts:
Amsterdam, Burnt Hills-Ballston Lake, Duanesburg, Galway, Niskayuna, Rotterdam-Mohonasen, Schalmont, Schenectady, Schoharie, Scotia-Glenville, South Colonie
Congressional District:
NY-20
State Senate Districts:
NY-46, NY-49
Assembly Districts:
NY-110, NY-111, NY-112
Neighboring Counties:
Albany, Montgomery, Saratoga, Schoharie
Nearby Counties:
Berkshire, Columbia, Fulton, Greene, Rensselaer, Ulster, Warren, Washington