Educational Attainment in the Town of Austerlitz, Columbia County, New York (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Columbia County and the Town of Austerlitz
Town of Austerlitz
Columbia County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma253.846154%40.626708%53.846154%53.8%61643.006993%48.286720%43.006993%43.0%4923.146853%11.086571%3.146853%3.1%36
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 Columbia County at large.
Scope: population of Columbia County and the Town of Austerlitz
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma232.538805%32.538805%+32.5%53.846%53.8%40.627%40.6%-10.934118%-10.934118%-10.9%43.007%43.0%48.287%48.3%-71.615633%-71.615633%-71.6%3.147%3.15%11.087%11.1%
% percentage with given level in the Town of Austerlitz
ref. percentage with given level in Columbia County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Columbia County and the Town of Austerlitz
Town of Austerlitz
Columbia County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.923077%1.029936%1.923077%1.9%226.206294%2.296036%6.206294%6.2%7122.377622%11.104065%22.377622%22.4%25616.958042%15.090420%16.958042%17.0%1946.381119%11.106252%6.381119%6.4%7315.646853%17.191839%15.646853%15.6%17927.360140%31.094881%27.360140%27.4%3132.360140%7.404168%2.360140%2.4%270.786713%2.352890%0.786713%0.8%90.000000%0.000000%0.0%1.329514%0
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 Columbia County at large.
Scope: population of Columbia County and the Town of Austerlitz
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None86.718112%86.718112%+86.7%1.923%1.92%1.030%1.03%170.304779%170.304779%+170.3%6.206%6.21%2.296%2.30%101.526398%101.526398%+101.5%22.378%22.4%11.104%11.1%12.376209%12.376209%+12.4%16.958%17.0%15.090%15.1%-42.544803%-42.544803%-42.5%6.381%6.38%11.106%11.1%-8.986741%-8.986741%-9.0%15.647%15.6%17.192%17.2%-12.010791%-12.010791%-12.0%27.360%27.4%31.095%31.1%-68.124171%-68.124171%-68.1%2.360%2.36%7.404%7.40%-66.563954%-66.563954%-66.6%0.787%0.79%2.353%2.35%-100.000000%-100.000000%-100.0%0.000%0%1.330%1.33%
% percentage with given level in the Town of Austerlitz
ref. percentage with given level in Columbia County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Columbia County and the Town of Austerlitz
More Females More Males
Columbia County
Town of Austerlitz
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-7.191064%-16.154031%-7.191064%7%55.732%55.7%51.993%52.0%6.594601%3.670517%6.594601%7%41.623%41.6%44.367%44.4%37.573657%48.219187%37.573657%38%2.646%2.65%3.640%3.64%
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 Columbia County and the Town of Austerlitz
More Females More Males
Columbia County
Town of Austerlitz
0%500%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3882.668977%61.879314%882.668977%883%0.353%0.35%3.466%3.47%80.811092%46.728049%80.811092%81%4.409%4.41%7.972%7.97%-28.780572%-30.483059%-28.780572%29%25.220%25.2%19.584%19.6%-22.578964%-13.472889%-22.578964%23%18.695%18.7%15.251%15.3%-23.349901%-26.498397%-23.349901%23%7.055%7.05%5.719%5.72%-9.834869%13.658099%13.658099%14%14.638%14.6%16.638%16.6%2.762769%11.378996%2.762769%3%26.984%27.0%27.730%27.7%133.383882%63.042940%133.383882%133%1.411%1.41%3.293%3.29%-256.172840%-256.172840%256%54.116934%1.235%1.23%0.347%0.35%
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 Columbia County and the Town of Austerlitz
Town of Austerlitz
Columbia County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3416.870416%12.854575%16.870416%16.9%6940914.747475%14.635130%14.747475%14.7%7349513.846154%17.144555%13.846154%13.8%1813030.909091%18.826483%30.909091%30.9%34110
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 Columbia County at large.
Scope: population of Columbia County and the Town of Austerlitz
0%20%40%60%%ref.65+45-6435-4425-3431.240553%31.240553%31.2%16.870%16.9%12.855%12.9%0.767635%0.767635%0.8%14.747%14.7%14.635%14.6%-19.238768%-19.238768%19.2%13.846%13.8%17.145%17.1%64.178788%64.178788%64.2%30.909%30.9%18.826%18.8%
% percentage in the Town of Austerlitz with a Bachelor's degree
ref percentage in Columbia County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Columbia County and the Town of Austerlitz
More Females More Males
Columbia County
Town of Austerlitz
50%0%50%FM65+45-6435-4425-34-6.396714%-6.396714%6.4%10.724376%17.371%17.4%16.327%16.3%-69.383521%-11.146295%-69.383521%69.4%18.672%18.7%11.024%11.0%-25.751616%82.352941%82.352941%82.4%9.677%9.68%17.647%17.6%-30.147059%-53.038544%-30.147059%30.1%35.294%35.3%27.119%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 Columbia County and the Town of Austerlitz
Town of Austerlitz
Columbia County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$28,500.000000$62,126.000000$28,500.000000$28.5k34930.507%30.5%$41,042.000000$46,145.000000$41,042.000000$41.0k19416.958%17.0%$31,563.000000$39,387.000000$31,563.000000$31.6k25222.028%22.0%$35,526.000000$32,021.000000$35,526.000000$35.5k31327.360%27.4%$35,327.000000$38,825.000000$35,327.000000$35.3k1,144100.000%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 Columbia County and the Town of Austerlitz
Female Male
Columbia County
Town of Austerlitz
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40k$60kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-32,000.000000$-40,264.000000$-32,000.000000$32.0k$32,000.000000$31,516.000000$40,264.000000$20,778.000000$63,516.000000$63.5k10688$-26,964.000000$-31,531.000000$-26,964.000000$27.0k$26,964.000000$13,393.000000$31,531.000000$15,867.000000$40,357.000000$40.4k123129$-31,528.000000$-26,179.000000$-31,528.000000$31.5k$31,528.000000$4,644.000000$26,179.000000$11,369.000000$36,172.000000$36.2k153160$-29,583.000000$-33,989.000000$-29,583.000000$29.6k$29,583.000000$10,917.000000$33,989.000000$9,945.000000$40,500.000000$40.5k567577
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Columbia County and the Town of Austerlitz
Town of Austerlitz
Columbia County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.360656%82.833246%78.360656%78.4%23972.916667%79.340446%72.916667%72.9%14074.641148%69.165923%74.641148%74.6%15662.068966%50.772849%62.068966%62.1%18
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Columbia County and the Town of Austerlitz
Female Male
Columbia County
Town of Austerlitz
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackAsian-2.439024%-7.653689%-2.439024%2.4%2.439024%1.331173%7.653689%4.170266%3.770197%3.8%2113-0.000000%-19.371728%0.000000%0.0%0.000000%0.000000%19.371728%10.392516%0.000000%0.0%00-0.000000%-16.524217%-7.475783%0.000000%0.0%0.000000%0.000000%16.524217%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Columbia County and the Town of Austerlitz
Female Male
Columbia County
Town of Austerlitz
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1BlackAsian-45.062837%-1.653861%-28.708941%-3.274577%-46.716698%46.7%45.062837%28.708941%45.062837%45.1%251249-100.000000%-12.671906%-5.652702%-100.000000%100.0%100.000000%0.000000%12.671906%100.000000%100.0%126-44.444444%-46.153846%-5.046154%-44.444444%44.4%44.444444%5.555556%46.153846%50.000000%50.0%44
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Hudson Area

There are 19 county subdivisions in the Hudson Area. This section compares the Town of Austerlitz to all of the county subdivisions in the Hudson Area and to those entities that contain or substantially overlap with the Town of Austerlitz.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Hudson Area, and entities that contain the Town of Austerlitz
0%5%10%15%Count#HudsonTown of ClaverackClaverackTown of LivingstonLivingstonTown of GallatinGallatinTown of AncramAncramNew YorkUnited States of AmericaUnited StatesTown of StockportStockportMiddle AtlanticTown of TaghkanicTaghkanicNortheastTown of CopakeCopakeHudson Metro AreaHudson AreaColumbia CountyColumbiaTown of ClermontClermontTown of GreenportGreenportTown of CanaanCanaanTown of New LebanonNew LebanonTown of GhentTown of HillsdaleHillsdaleTown of KinderhookKinderhookTown of StuyvesantStuyvesantTown of GermantownGermantownTown of ChathamChatham000800Tract 000800Town of AusterlitzAusterlitz17.072636%17.072636%17.1%778116.224649%16.224649%16.2%728216.196646%16.196646%16.2%425314.210920%14.210920%14.2%190414.151828%14.151828%14.2%151514.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.434418%12.434418%12.4%237612.313400%12.313400%12.3%3,505,1913.51M12.087912%12.087912%12.1%110711.614335%11.614335%11.6%4,487,0854.49M11.535689%11.535689%11.5%320811.086571%11.086571%11.1%5,07011.086571%11.086571%11.1%5,07010.846746%10.846746%10.8%155910.789474%10.789474%10.8%3281010.664479%10.664479%10.7%1301110.199557%10.199557%10.2%1841210.092431%10.092431%10.1%404137.214895%7.214895%7.2%93147.161166%7.161166%7.2%447156.757635%6.757635%6.8%104166.563162%6.563162%6.6%93175.334692%5.334692%5.3%157183.146853%3.146853%3.1%363.146853%3.146853%3.1%3619
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Hudson Area, and entities that contain the Town of Austerlitz
0%10%20%30%40%Count#000800Tract 000800Town of AusterlitzAusterlitzTown of KinderhookKinderhookTown of HillsdaleHillsdaleTown of CanaanCanaanTown of ChathamChathamTown of ClermontClermontTown of TaghkanicTaghkanicTown of New LebanonNew LebanonNortheastNew YorkMiddle AtlanticTown of GermantownGermantownTown of AncramAncramTown of GallatinGallatinUnited States of AmericaUnited StatesTown of StuyvesantStuyvesantHudson Metro AreaHudson AreaColumbia CountyColumbiaTown of CopakeCopakeHudsonTown of GhentTown of GreenportGreenportTown of ClaverackClaverackTown of LivingstonLivingstonTown of StockportStockport47.465035%47.465035%47.5%54347.465035%47.465035%47.5%543138.321051%38.321051%38.3%2,392237.858805%37.858805%37.9%488337.735849%37.735849%37.7%460437.240911%37.240911%37.2%1,096537.158852%37.158852%37.2%531636.153846%36.153846%36.2%329735.144124%35.144124%35.1%634834.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M33.644618%33.644618%33.6%9,577,4379.58M33.521524%33.521524%33.5%475933.177132%33.177132%33.2%3541031.114435%31.114435%31.1%4161130.315023%30.315023%30.3%64,767,78764.8M29.629630%29.629630%29.6%4561229.520457%29.520457%29.5%13,50013.5k29.520457%29.520457%29.5%13,50013.5k25.666907%25.666907%25.7%7121324.467852%24.467852%24.5%1,1151424.381714%24.381714%24.4%9761524.078947%24.078947%24.1%7321621.618008%21.618008%21.6%9701720.007622%20.007622%20.0%5251815.529906%15.529906%15.5%29619
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Hudson Area, and entities that contain the Town of Austerlitz
0%2%4%6%8%Count#000800Tract 000800Town of AusterlitzAusterlitzTown of HillsdaleHillsdaleTown of ChathamChathamTown of ClermontClermontTown of TaghkanicTaghkanicTown of New LebanonNew LebanonTown of CanaanCanaanNew YorkNortheastMiddle AtlanticTown of GallatinGallatinTown of GermantownGermantownTown of CopakeCopakeUnited States of AmericaUnited StatesHudson Metro AreaHudson AreaColumbia CountyColumbiaTown of KinderhookKinderhookTown of AncramAncramTown of LivingstonLivingstonTown of ClaverackClaverackTown of GreenportGreenportHudsonTown of StuyvesantStuyvesantTown of GhentTown of StockportStockport8.129371%8.129371%8.1%938.129371%8.129371%8.1%9316.826998%6.826998%6.8%8826.727829%6.727829%6.7%19836.717985%6.717985%6.7%9645.604396%5.604396%5.6%5154.545455%4.545455%4.5%8264.429861%4.429861%4.4%5474.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.515333%3.515333%3.5%4783.458010%3.458010%3.5%4993.352559%3.352559%3.4%93103.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,5213.325971%3.325971%3.3%1,5213.316245%3.316245%3.3%207113.186504%3.186504%3.2%34122.782012%2.782012%2.8%73132.473813%2.473813%2.5%111142.368421%2.368421%2.4%72152.018872%2.018872%2.0%92162.014295%2.014295%2.0%31170.974269%0.974269%1.0%39180.577125%0.577125%0.6%1119
Count number of people in category
# rank of county subdivision out of 19 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#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Hudson Area, and entities that contain the Town of Austerlitz
Female
Male
0x5x10xFM#HillsdaleStuyvesantStockportNew LebanonTaghkanicChathamTown of GhentCopakeAncramKinderhookClaverackGermantownGallatinHudson AreaColumbiaTract 000800AusterlitzClermontUnited StatesNortheastMiddle AtlanticNew YorkLivingstonHudsonGreenportCanaan-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.638%0.64%13.444%13.4%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.950%0.95%12.095%12.1%2-1.000000x-1.000000x2.761905x2.761905x2.76x6.611%6.61%18.258%18.3%3-1.000000x-1.000000x2.460015x2.460015x2.46x6.054%6.05%14.894%14.9%4-1.000000x-1.000000x2.416165x2.416165x2.42x7.064%7.06%17.068%17.1%5-1.000000x-1.000000x1.937090x1.937090x1.94x3.625%3.63%7.022%7.02%6-1.000000x-1.000000x1.935812x1.935812x1.94x6.808%6.81%13.178%13.2%7-1.000000x-1.000000x1.756046x1.756046x1.76x8.509%8.51%14.943%14.9%8-1.000000x-1.000000x1.748077x1.748077x1.75x10.101%10.1%17.657%17.7%9-1.000000x-1.000000x1.741641x1.741641x1.74x5.312%5.31%9.252%9.25%10-1.000000x-1.000000x1.654071x1.654071x1.65x12.171%12.2%20.131%20.1%11-1.000000x-1.000000x1.531039x1.531039x1.53x5.290%5.29%8.100%8.10%12-1.000000x-1.000000x1.487326x1.487326x1.49x11.221%11.2%16.689%16.7%13-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%14-1.000000x-1.000000x1.283663x1.283663x1.28x9.440%9.44%12.117%12.1%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.014104x1.014104x1.01x16.093%16.1%16.320%16.3%16-1.084823x-1.084823x1.08x1.000000x1.000000x17.728%17.7%16.342%16.3%17-1.273106x-1.273106x1.27x1.000000x1.000000x12.038%12.0%9.456%9.46%18-1.774603x-1.774603x1.77x1.000000x1.000000x13.333%13.3%7.513%7.51%19
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 19 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Hudson Area, and entities that contain the Town of Austerlitz
Female
Male
0x5x10xFM#Town of GhentAncramCanaanClermontGermantownTract 000800AusterlitzLivingstonCopakeClaverackNew LebanonHillsdaleGallatinUnited StatesHudson AreaColumbiaMiddle AtlanticNortheastNew YorkGreenportKinderhookTaghkanicStockportChathamHudsonStuyvesant-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.890%1.89%1-1.000000x-1.000000x3.337912x3.337912x3.34x1.414%1.41%4.720%4.72%2-1.000000x-1.000000x3.069767x3.069767x3.07x2.273%2.27%6.977%6.98%3-1.000000x-1.000000x3.036678x3.036678x3.04x3.245%3.24%9.854%9.85%4-1.000000x-1.000000x3.017913x3.017913x3.02x1.806%1.81%5.452%5.45%5-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%6-1.000000x-1.000000x2.141837x2.141837x2.14x1.827%1.83%3.913%3.91%7-1.000000x-1.000000x2.046674x2.046674x2.05x2.246%2.25%4.598%4.60%8-1.000000x-1.000000x1.779094x1.779094x1.78x1.771%1.77%3.151%3.15%9-1.000000x-1.000000x1.769356x1.769356x1.77x3.340%3.34%5.910%5.91%10-1.000000x-1.000000x1.741497x1.741497x1.74x4.944%4.94%8.610%8.61%11-1.000000x-1.000000x1.606190x1.606190x1.61x2.640%2.64%4.241%4.24%12-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-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-1.000000x1.262214x1.262214x1.26x2.102%2.10%2.653%2.65%13-1.000000x-1.000000x1.142084x1.142084x1.14x3.109%3.11%3.551%3.55%14-1.000000x-1.000000x1.030897x1.030897x1.03x5.519%5.52%5.689%5.69%15-1.200000x-1.200000x1.20x1.000000x1.000000x0.630%0.63%0.525%0.52%16-1.374780x-1.374780x1.37x1.000000x1.000000x7.798%7.80%5.672%5.67%17-1.459818x-1.459818x1.46x1.000000x1.000000x2.372%2.37%1.625%1.62%18-1.722976x-1.722976x1.72x1.000000x1.000000x2.578%2.58%1.496%1.50%19
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 19 by male-to-female sex ratio

Educational Attainment by County Subdivision in New York

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

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Austerlitz, selected other county subdivisions in New York, and entities that contain the Town of Austerlitz
0%5%10%15%20%25%Count#BronxTown of RyeUticaBrooklynQueensRochesterSyracuseTown of MonroeMonroeTown of RamapoRamapoNew RochelleYonkersBuffaloSchenectadyMount VernonBinghamtonTown of IslipNew YorkWhite PlainsNiagara FallsTroyUnited States of AmericaUnited StatesManhattanTown of BabylonBabylonMiddle AtlanticTown of Mount PleasantMt PleasantNortheastStaten IslandHudson Metro AreaHudson AreaColumbia CountyColumbiaTown of HempsteadHempsteadTown of SouthamptonSouthamptonAlbanyTown of CheektowagaCheektowagaTown of North HempsteadN HempsteadTown of HenriettaHenriettaTown of ClarkstownClarkstownTown of BrookhavenBrookhavenTown of OrangetownOrangetownTown of IrondequoitIrondequoitTown of UnionTown of PoughkeepsiePoughkeepsieTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghTown of West SenecaW SenecaTown of CortlandtCortlandtTown of ColonieColonieTown of TonawandaTonawandaTown of Oyster BayOyster BayTown of HamburgHamburgTown of ClayTown of WebsterWebsterTown of LancasterLancasterTown of AmherstAmherstTown of SmithtownSmithtown000800Tract 000800Town of AusterlitzAusterlitzTown of PerintonPerinton28.837398%28.837398%28.8%261,022261k122.486598%22.486598%22.5%7,173220.612611%20.612611%20.6%7,934320.017506%20.017506%20.0%351,046351k419.344706%19.344706%19.3%315,505316k519.239011%19.239011%19.2%25,40825.4k619.000219%19.000219%19.0%16,47316.5k718.106509%18.106509%18.1%3,366817.423749%17.423749%17.4%12,58512.6k917.017312%17.017312%17.0%9,1321016.804756%16.804756%16.8%22,98023.0k1116.749688%16.749688%16.7%27,74127.7k1216.053840%16.053840%16.1%7,0251315.848348%15.848348%15.8%7,4241415.548463%15.548463%15.5%4,6281514.649584%14.649584%14.6%32,58832.6k1614.076424%14.076424%14.1%1,900,8921.90M13.893357%13.893357%13.9%5,7011713.797859%13.797859%13.8%4,6021813.551463%13.551463%13.6%4,1501913.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2012.329428%12.329428%12.3%18,13418.1k2112.313400%12.313400%12.3%3,505,1913.51M11.896919%11.896919%11.9%3,4672211.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k2311.086571%11.086571%11.1%5,07011.086571%11.086571%11.1%5,07010.384134%10.384134%10.4%54,23054.2k2410.338812%10.338812%10.3%4,5042510.256196%10.256196%10.3%6,145269.212082%9.212082%9.2%5,923278.911497%8.911497%8.9%14,26914.3k288.854285%8.854285%8.9%2,337298.755407%8.755407%8.8%5,364308.603165%8.603165%8.6%28,07628.1k318.426036%8.426036%8.4%2,901328.287073%8.287073%8.3%3,120338.238475%8.238475%8.2%3,199348.176375%8.176375%8.2%2,253357.434661%7.434661%7.4%5,274367.370929%7.370929%7.4%10,45510.5k377.208489%7.208489%7.2%4,660386.815916%6.815916%6.8%2,256396.651967%6.651967%6.7%1,961406.651772%6.651772%6.7%3,781416.156495%6.156495%6.2%3,325425.758981%5.758981%5.8%11,95012.0k435.742876%5.742876%5.7%2,376445.420601%5.420601%5.4%2,256454.737815%4.737815%4.7%1,461464.651318%4.651318%4.7%1,392474.592814%4.592814%4.6%3,835484.565854%4.565854%4.6%3,744493.146853%3.146853%3.1%363.146853%3.146853%3.1%362.807340%2.807340%2.8%94750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Austerlitz, selected other county subdivisions in New York, and entities that contain the Town of Austerlitz
0%20%40%60%Count#Town of GreenburghGreenburghManhattanTown of PerintonPerintonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of OrangetownOrangetownTown of HuntingtonHuntingtonTown of Mount PleasantMt PleasantWhite PlainsTown of ClarkstownClarkstownTown of CortlandtCortlandtTown of Oyster BayOyster Bay000800Tract 000800Town of AusterlitzAusterlitzTown of SmithtownSmithtownTown of WebsterWebsterNew RochelleTown of ColonieColonieTown of HempsteadHempsteadTown of SouthamptonSouthamptonTown of PoughkeepsiePoughkeepsieAlbanyTown of HenriettaHenriettaTown of IrondequoitIrondequoitTown of RyeNortheastNew YorkTown of TonawandaTonawandaBrooklynTown of ClayMiddle AtlanticTown of RamapoRamapoTown of LancasterLancasterTown of BrookhavenBrookhavenYonkersTown of HamburgHamburgStaten IslandQueensUnited States of AmericaUnited StatesTown of UnionHudson Metro AreaHudson AreaColumbia CountyColumbiaMount VernonTown of MonroeMonroeTown of GreeceGreeceTown of IslipTown of West SenecaW SenecaSyracuseTown of BabylonBabylonTroyBuffaloRochesterBinghamtonTown of CheektowagaCheektowagaSchenectadyBronxUticaNiagara Falls61.467067%61.467067%61.5%39,73639.7k160.434640%60.434640%60.4%747,953748k256.650757%56.650757%56.7%19,11019.1k354.117365%54.117365%54.1%45,18845.2k453.266008%53.266008%53.3%85,28985.3k551.195213%51.195213%51.2%17,62617.6k650.346515%50.346515%50.3%71,41271.4k750.240203%50.240203%50.2%14,64114.6k849.283521%49.283521%49.3%20,22320.2k949.062270%49.062270%49.1%30,05830.1k1048.799186%48.799186%48.8%14,38614.4k1148.123874%48.123874%48.1%99,85899.9k1247.465035%47.465035%47.5%54347.465035%47.465035%47.5%54346.287805%46.287805%46.3%37,95638.0k1343.720206%43.720206%43.7%13,48213.5k1443.527198%43.527198%43.5%23,35823.4k1539.877203%39.877203%39.9%22,66722.7k1638.767308%38.767308%38.8%202,458202k1738.632816%38.632816%38.6%16,83016.8k1838.236255%38.236255%38.2%10,53610.5k1937.277810%37.277810%37.3%22,33522.3k2036.921270%36.921270%36.9%9,7452135.371457%35.371457%35.4%13,31713.3k2235.276968%35.276968%35.3%11,25311.3k2334.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.333802%34.333802%34.3%18,54318.5k2434.081468%34.081468%34.1%597,685598k2533.809078%33.809078%33.8%14,07114.1k2633.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2732.191666%32.191666%32.2%9,6342832.119689%32.119689%32.1%104,821105k2932.032147%32.032147%32.0%43,80343.8k3031.697000%31.697000%31.7%13,11413.1k3131.359684%31.359684%31.4%101,712102k3230.595789%30.595789%30.6%499,006499k3330.315023%30.315023%30.3%64,767,78764.8M30.293587%30.293587%30.3%11,76311.8k3429.520457%29.520457%29.5%13,50013.5k29.520457%29.520457%29.5%13,50013.5k29.064555%29.064555%29.1%13,61513.6k3528.875740%28.875740%28.9%5,3683628.513632%28.513632%28.5%20,22720.2k3727.874579%27.874579%27.9%62,00762.0k3827.744041%27.744041%27.7%9,1833926.804231%26.804231%26.8%23,23923.2k4025.418993%25.418993%25.4%37,38637.4k4125.333072%25.333072%25.3%7,7584225.263101%25.263101%25.3%41,84141.8k4323.661076%23.661076%23.7%31,24831.2k4423.460440%23.460440%23.5%6,9834521.402576%21.402576%21.4%13,76113.8k4621.072237%21.072237%21.1%9,2214719.131504%19.131504%19.1%173,169173k4817.120885%17.120885%17.1%6,5904917.041945%17.041945%17.0%5,68450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Austerlitz, selected other county subdivisions in New York, and entities that contain the Town of Austerlitz
0%2%4%6%8%10%Count#Town of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of Mount PleasantMt PleasantWhite Plains000800Tract 000800Town of AusterlitzAusterlitzNew RochelleTown of HuntingtonHuntingtonTown of PerintonPerintonTown of CortlandtCortlandtTown of Oyster BayOyster BayTown of OrangetownOrangetownTown of SmithtownSmithtownTown of ClarkstownClarkstownAlbanyTown of PoughkeepsiePoughkeepsieTown of ColonieColonieTown of SouthamptonSouthamptonTown of HempsteadHempsteadSyracuseNew YorkNortheastTown of RamapoRamapoTown of WebsterWebsterTown of BrookhavenBrookhavenMiddle AtlanticTown of RyeYonkersBrooklynUnited States of AmericaUnited StatesHudson Metro AreaHudson AreaColumbia CountyColumbiaTown of HenriettaHenriettaBuffaloStaten IslandBinghamtonTown of HamburgHamburgQueensRochesterTown of UnionTown of IrondequoitIrondequoitTown of TonawandaTonawandaTown of IslipMount VernonTown of GreeceGreeceTown of LancasterLancasterTroyTown of MonroeMonroeSchenectadyTown of ClayBronxTown of BabylonBabylonUticaTown of West SenecaW SenecaTown of CheektowagaCheektowagaNiagara Falls11.932680%11.932680%11.9%7,714110.788423%10.788423%10.8%133,520134k210.319825%10.319825%10.3%16,52416.5k39.511377%9.511377%9.5%7,94248.863496%8.863496%8.9%2,58358.692791%8.692791%8.7%3,56768.129371%8.129371%8.1%938.129371%8.129371%8.1%938.001789%8.001789%8.0%4,29477.591599%7.591599%7.6%10,76810.8k86.578128%6.578128%6.6%2,21996.326323%6.326323%6.3%1,865106.073676%6.073676%6.1%12,60312.6k115.974614%5.974614%6.0%2,057125.571951%5.571951%5.6%4,569135.549661%5.549661%5.5%3,400145.285822%5.285822%5.3%3,167154.946471%4.946471%4.9%1,363164.505471%4.505471%4.5%2,561174.464696%4.464696%4.5%1,945184.441262%4.441262%4.4%23,19423.2k194.250337%4.250337%4.3%3,685204.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935214.053572%4.053572%4.1%1,250223.952259%3.952259%4.0%12,89812.9k233.884861%3.884861%3.9%1,105,8831.11M3.855920%3.855920%3.9%1,230243.426766%3.426766%3.4%4,686253.384967%3.384967%3.4%59,36259.4k263.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,5213.325971%3.325971%3.3%1,5213.243161%3.243161%3.2%856273.202492%3.202492%3.2%5,304283.037245%3.037245%3.0%9,851292.852343%2.852343%2.9%849302.794093%2.794093%2.8%1,156312.756960%2.756960%2.8%44,96545.0k322.719873%2.719873%2.7%3,592332.616534%2.616534%2.6%1,016342.592366%2.592366%2.6%976352.592209%2.592209%2.6%1,400362.384356%2.384356%2.4%5,304372.267099%2.267099%2.3%1,062382.249852%2.249852%2.2%1,596392.235440%2.235440%2.2%669402.220481%2.220481%2.2%680411.909629%1.909629%1.9%355421.771064%1.771064%1.8%775431.737187%1.737187%1.7%723441.664253%1.664253%1.7%15,06415.1k451.603220%1.603220%1.6%2,358461.551012%1.551012%1.6%597471.157135%1.157135%1.2%383481.107378%1.107378%1.1%712491.058376%1.058376%1.1%35350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in New York, and entities that contain the Town of Austerlitz
Female
Male
1x0x1xFM#SouthamptonHudson AreaColumbiaMt PleasantTract 000800AusterlitzSchenectadyTown of RyeGreenburghNew RochelleHamburgGreeceNiagara FallsRamapoBrookhavenOrangetownWhite PlainsUnited StatesTown of IslipRochesterHempsteadHuntingtonYonkersSyracuseTown of ClayCortlandtNortheastMount VernonMiddle AtlanticBabylonN HempsteadTonawandaNew YorkBinghamtonBronxIrondequoitBrooklynUticaClarkstownTroyStaten IslandWebsterPoughkeepsieAlbanyQueensManhattanBuffaloOyster BayCheektowagaHenriettaLancasterMonroeColonieW SenecaSmithtownAmherstTown of UnionPerinton-1.000000x-1.000000x1.604365x1.604365x1.60x7.925%7.93%12.715%12.7%1-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.433960x1.433960x1.43x9.779%9.78%14.023%14.0%2-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%-1.000000x-1.000000x1.282414x1.282414x1.28x14.131%14.1%18.122%18.1%3-1.000000x-1.000000x1.281137x1.281137x1.28x19.775%19.8%25.334%25.3%4-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%5-1.000000x-1.000000x1.254711x1.254711x1.25x15.159%15.2%19.020%19.0%6-1.000000x-1.000000x1.187720x1.187720x1.19x5.282%5.28%6.274%6.27%7-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%8-1.000000x-1.000000x1.137611x1.137611x1.14x12.973%13.0%14.759%14.8%9-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%10-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%11-1.000000x-1.000000x1.125221x1.125221x1.13x7.951%7.95%8.947%8.95%12-1.000000x-1.000000x1.115929x1.115929x1.12x13.178%13.2%14.706%14.7%13-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%14-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%15-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%16-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.076402x1.076402x1.08x5.232%5.23%5.632%5.63%20-1.000000x-1.000000x1.074661x1.074661x1.07x6.422%6.42%6.901%6.90%21-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.062811x1.062811x1.06x15.419%15.4%16.388%16.4%22-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%23-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%24-1.000000x-1.000000x1.049026x1.049026x1.05x6.020%6.02%6.315%6.31%25-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.042378x1.042378x1.04x15.245%15.2%15.891%15.9%26-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%27-1.000000x-1.000000x1.019781x1.019781x1.02x8.213%8.21%8.376%8.38%28-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%29-1.000000x-1.000000x1.012601x1.012601x1.01x20.491%20.5%20.749%20.7%30-1.000000x-1.000000x1.005766x1.005766x1.01x8.732%8.73%8.782%8.78%31-1.000000x-1.000000x1.004481x1.004481x1.00x13.523%13.5%13.584%13.6%32-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%33-1.005091x-1.005091x1.01x1.000000x1.000000x4.749%4.75%4.725%4.72%34-1.015377x-1.015377x1.02x1.000000x1.000000x8.237%8.24%8.112%8.11%35-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%36-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%37-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%38-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%39-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%40-1.067416x-1.067416x1.07x1.000000x1.000000x9.496%9.50%8.896%8.90%41-1.080215x-1.080215x1.08x1.000000x1.000000x9.187%9.19%8.505%8.50%42-1.147591x-1.147591x1.15x1.000000x1.000000x4.950%4.95%4.313%4.31%43-1.155863x-1.155863x1.16x1.000000x1.000000x19.373%19.4%16.761%16.8%44-1.160343x-1.160343x1.16x1.000000x1.000000x7.123%7.12%6.139%6.14%45-1.163000x-1.163000x1.16x1.000000x1.000000x7.289%7.29%6.267%6.27%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.266677x-1.266677x1.27x1.000000x1.000000x9.152%9.15%7.225%7.23%49-1.487023x-1.487023x1.49x1.000000x1.000000x3.320%3.32%2.233%2.23%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in New York, and entities that contain the Town of Austerlitz
Female
Male
1x0x1x2xFM#Niagara FallsUticaTract 000800AusterlitzTown of UnionW SenecaPerintonSmithtownHuntingtonPoughkeepsieBrookhavenAmherstCortlandtOyster BayClarkstownTroyHamburgTonawandaGreenburghColonieLancasterMt PleasantBinghamtonBuffaloN HempsteadSyracuseUnited StatesHudson AreaColumbiaMiddle AtlanticWebsterHempsteadNortheastCheektowagaRamapoOrangetownAlbanyNew RochelleWhite PlainsGreeceSchenectadyNew YorkRochesterTown of ClayIrondequoitMount VernonTown of RyeQueensHenriettaBrooklynManhattanStaten IslandMonroeBronxSouthamptonTown of IslipBabylonYonkers-1.000000x-1.000000x2.541302x2.541302x2.54x0.618%0.62%1.571%1.57%1-1.000000x-1.000000x2.466374x2.466374x2.47x0.916%0.92%2.260%2.26%2-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%-1.000000x-1.000000x2.358774x2.358774x2.36x1.591%1.59%3.754%3.75%3-1.000000x-1.000000x2.156993x2.156993x2.16x0.754%0.75%1.626%1.63%4-1.000000x-1.000000x1.799304x1.799304x1.80x4.778%4.78%8.597%8.60%5-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%6-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%7-1.000000x-1.000000x1.780300x1.780300x1.78x3.591%3.59%6.394%6.39%8-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%9-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%10-1.000000x-1.000000x1.768355x1.768355x1.77x4.623%4.62%8.174%8.17%11-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%12-1.000000x-1.000000x1.732881x1.732881x1.73x4.129%4.13%7.155%7.16%13-1.000000x-1.000000x1.714232x1.714232x1.71x1.663%1.66%2.850%2.85%14-1.000000x-1.000000x1.712291x1.712291x1.71x2.099%2.10%3.595%3.59%15-1.000000x-1.000000x1.704160x1.704160x1.70x1.955%1.95%3.331%3.33%16-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%17-1.000000x-1.000000x1.651215x1.651215x1.65x3.435%3.43%5.672%5.67%18-1.000000x-1.000000x1.594279x1.594279x1.59x1.748%1.75%2.787%2.79%19-1.000000x-1.000000x1.579415x1.579415x1.58x6.876%6.88%10.860%10.9%20-1.000000x-1.000000x1.566561x1.566561x1.57x2.252%2.25%3.528%3.53%21-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%22-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%23-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488955x1.488955x1.49x3.305%3.30%4.921%4.92%25-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%26-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.478733x1.478733x1.48x0.903%0.90%1.335%1.34%27-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%28-1.000000x-1.000000x1.465055x1.465055x1.47x4.889%4.89%7.163%7.16%29-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%30-1.000000x-1.000000x1.462506x1.462506x1.46x6.545%6.55%9.572%9.57%31-1.000000x-1.000000x1.461604x1.461604x1.46x7.148%7.15%10.448%10.4%32-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%33-1.000000x-1.000000x1.435683x1.435683x1.44x1.464%1.46%2.102%2.10%34-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%35-1.000000x-1.000000x1.406626x1.406626x1.41x1.458%1.46%2.051%2.05%36-1.000000x-1.000000x1.369034x1.369034x1.37x2.220%2.22%3.039%3.04%37-1.000000x-1.000000x1.341074x1.341074x1.34x1.970%1.97%2.641%2.64%38-1.000000x-1.000000x1.289753x1.289753x1.29x3.378%3.38%4.357%4.36%39-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%40-1.000000x-1.000000x1.266518x1.266518x1.27x2.870%2.87%3.635%3.63%41-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%42-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%43-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%44-1.000000x-1.000000x1.223046x1.223046x1.22x1.723%1.72%2.108%2.11%45-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%46-1.000000x-1.000000x1.196659x1.196659x1.20x4.062%4.06%4.861%4.86%47-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%48-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%49-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Northeast, and entities that contain the Town of Austerlitz
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityNew YorkUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandHudson Metro AreaHudson AreaColumbia CountyColumbiaQuincyTown of StamfordStamfordTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown000800Tract 000800Town of AusterlitzAusterlitz28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2814.076424%14.076424%14.1%1,900,8921.90M13.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.086571%11.086571%11.1%5,07011.086571%11.086571%11.1%5,07011.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,744503.146853%3.146853%3.1%363.146853%3.146853%3.1%36
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Northeast, and entities that contain the Town of Austerlitz
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster Bay000800Tract 000800Town of AusterlitzAusterlitzTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastNew YorkWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterHudson Metro AreaHudson AreaColumbia CountyColumbiaProvidenceTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.465035%47.465035%47.5%54347.465035%47.465035%47.5%54347.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.520457%29.520457%29.5%13,50013.5k29.520457%29.520457%29.5%13,50013.5k29.442164%29.442164%29.4%30,99231.0k2728.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Northeast, and entities that contain the Town of Austerlitz
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew Hvn000800Tract 000800Town of AusterlitzAusterlitzTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNew YorkNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesHudson Metro AreaHudson AreaColumbia CountyColumbiaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99268.129371%8.129371%8.1%938.129371%8.129371%8.1%937.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,5213.325971%3.325971%3.3%1,5213.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Northeast, and entities that contain the Town of Austerlitz
Female
Male
1x0x1xFM#Hudson AreaColumbiaTract 000800AusterlitzStamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownNew YorkLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in the Northeast, and entities that contain the Town of Austerlitz
Female
Male
1x0x1x2xFM#LakewoodTract 000800AusterlitzAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesHudson AreaColumbiaMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyNew YorkRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Austerlitz, selected other county subdivisions in the United States, and entities that contain the Town of Austerlitz
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonNew YorkSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaHudson Metro AreaHudson AreaColumbia CountyColumbiaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East000800Tract 000800Town of AusterlitzAusterlitz28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2714.076424%14.076424%14.1%1,900,8921.90M13.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4111.086571%11.086571%11.1%5,07011.086571%11.086571%11.1%5,07010.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.146853%3.146853%3.1%363.146853%3.146853%3.1%36
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Austerlitz, selected other county subdivisions in the United States, and entities that contain the Town of Austerlitz
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattle000800Tract 000800Town of AusterlitzAusterlitzBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastNew YorkColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreHudson Metro AreaHudson AreaColumbia CountyColumbiaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k847.465035%47.465035%47.5%54347.465035%47.465035%47.5%54346.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.740945%34.740945%34.7%4,691,4464.69M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.520457%29.520457%29.5%13,50013.5k29.520457%29.520457%29.5%13,50013.5k29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Austerlitz, selected other county subdivisions in the United States, and entities that contain the Town of Austerlitz
0%5%10%Count#WashingtonManhattan000800Tract 000800Town of AusterlitzAusterlitzSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNew YorkNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesHudson Metro AreaHudson AreaColumbia CountyColumbiaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k28.129371%8.129371%8.1%938.129371%8.129371%8.1%937.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.230387%4.230387%4.2%571,275571k4.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.325971%3.325971%3.3%1,5213.325971%3.325971%3.3%1,5213.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in the United States, and entities that contain the Town of Austerlitz
Female
Male
1x0x1xFM#Hudson AreaColumbiaTract 000800Austerlitz1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNew YorkNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.482192x1.482192x1.48x8.965%8.97%13.288%13.3%-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%-1.000000x-1.000000x1.375737x1.375737x1.38x2.646%2.65%3.640%3.64%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Austerlitz, selected other county subdivisions in the United States, and entities that contain the Town of Austerlitz
Female
Male
1x0x1x2xFM#Tract 000800AusterlitzEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHudson AreaColumbiaMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoNew YorkColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%-1.000000x-1.000000x2.402080x2.402080x2.40x4.762%4.76%11.438%11.4%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-1.000000x-1.000000x1.512318x1.512318x1.51x2.658%2.66%4.019%4.02%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
New York
County:
Columbia
Metro Area:
Hudson Area
ZIP Codes:
12017, 12037, 12060, 12075, 12165, 12529
Unified School Districts:
Chatham, Taconic Hills
Congressional District:
NY-19
State Senate District:
NY-43
Assembly District:
NY-107
Neighboring Towns:
Alford, Canaan, Chatham, Ghent, Hillsdale, West Stockbridge
Nearby Towns:
Claverack, Copake, Egremont, Great Barrington, Kinderhook, Lenox, New Lebanon, Richmond, Stockbridge, Stockport