Educational Attainment in Valencia, Butler County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Butler County and Valencia
Valencia
Butler County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma247.528517%42.915945%47.528517%47.5%25044.676806%50.596342%44.676806%44.7%2357.794677%6.487713%7.794677%7.8%41
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 Butler County at large.
Scope: population of Butler County and Valencia
-20%-10%-0%+10%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma210.747922%10.747922%+10.7%47.529%47.5%42.916%42.9%-11.699534%-11.699534%-11.7%44.677%44.7%50.596%50.6%20.145218%20.145218%+20.1%7.795%7.79%6.488%6.49%
% percentage with given level in Valencia
ref. percentage with given level in Butler 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 Butler County and Valencia
Valencia
Butler County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.950570%1.174288%0.950570%1.0%51.520913%1.405773%1.520913%1.5%815.589354%9.371311%15.589354%15.6%8224.144487%21.338781%24.144487%24.1%1275.323194%9.625791%5.323194%5.3%2820.912548%16.417041%20.912548%20.9%11023.764259%34.179301%23.764259%23.8%1255.703422%4.714783%5.703422%5.7%302.091255%1.194217%2.091255%2.1%110.000000%0.000000%0.0%0.578713%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 Butler County at large.
Scope: population of Butler County and Valencia
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-19.051366%-19.051366%-19.1%0.951%0.95%1.174%1.17%8.190454%8.190454%+8.2%1.521%1.52%1.406%1.41%66.351894%66.351894%+66.4%15.589%15.6%9.371%9.37%13.148390%13.148390%+13.1%24.144%24.1%21.339%21.3%-44.698636%-44.698636%-44.7%5.323%5.32%9.626%9.63%27.383172%27.383172%+27.4%20.913%20.9%16.417%16.4%-30.471784%-30.471784%-30.5%23.764%23.8%34.179%34.2%20.968923%20.968923%+21.0%5.703%5.70%4.715%4.71%75.115069%75.115069%+75.1%2.091%2.09%1.194%1.19%-100.000000%-100.000000%-100.0%0.000%0%0.579%0.58%
% percentage with given level in Valencia
ref. percentage with given level in Butler 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 Butler County and Valencia
More Females More Males
Butler County
Valencia
200%100%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-3.366639%37.284483%37.284483%37%40.816%40.8%56.034%56.0%-18.367347%-18.367347%18%1.750004%47.959%48.0%40.517%40.5%-225.510204%-225.510204%226%8.713037%11.224%11.2%3.448%3.45%
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 Butler County and Valencia
More Females More Males
Butler County
Valencia
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%95.708517%1,000.000000%> 1000%0.000%0%2.155%2.16%280.172414%73.502729%280.172414%0k%0.680%0.68%2.586%2.59%-23.187264%78.904665%78.904665%0k%11.565%11.6%20.690%20.7%-0.048591%-0.048591%0k%3.423413%24.150%24.1%24.138%24.1%-19.740580%46.220159%46.220159%0k%4.422%4.42%6.466%6.47%-131.098154%-131.098154%0k%1.276544%27.891%27.9%12.069%12.1%41.759205%1.978188%41.759205%0k%20.068%20.1%28.448%28.4%-117.006803%-117.006803%0k%9.079221%7.483%7.48%3.448%3.45%-1,000.000000%-1,000.000000%> 1000%20.112424%3.741%3.74%0.000%0%
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 Butler County and Valencia
Valencia
Butler County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3426.153846%10.911567%26.153846%26.2%8532524.324324%20.757433%24.324324%24.3%3614813.636364%29.262632%13.636364%13.6%6440.000000%0.000000%0.0%30.459514%09
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 Butler County at large.
Scope: population of Butler County and Valencia
100%50%0%50%100%%ref.65+45-6435-4425-34139.689182%139.689182%139.7%26.154%26.2%10.912%10.9%17.183682%17.183682%17.2%24.324%24.3%20.757%20.8%-53.400078%-53.400078%53.4%13.636%13.6%29.263%29.3%-100.000000%-100.000000%100.0%0.000%0%30.460%30.5%
% percentage in Valencia with a Bachelor's degree
ref percentage in Butler 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 Butler County and Valencia
More Females More Males
Butler County
Valencia
20%0%20%40%FM65+45-6435-445.247376%52.645861%5.247376%5.2%25.556%25.6%26.897%26.9%-29.982363%-29.982363%30.0%6.031839%27.160%27.2%20.896%20.9%-7.314086%20.000000%20.000000%20.0%12.500%12.5%15.000%15.0%
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 Butler County and Valencia
Valencia
Butler County
$0k$20k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2Total$58,125.000000$56,656.000000$58,125.000000$58.1k12724.144%24.1%$33,500.000000$37,549.000000$33,500.000000$33.5k13826.236%26.2%$26,250.000000$31,011.000000$26,250.000000$26.3k12523.764%23.8%$36,607.000000$41,602.000000$36,607.000000$36.6k526100.000%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 Butler County and Valencia
Female Male
Butler County
Valencia
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeTotal$-54,063.000000$-41,888.000000$-54,063.000000$54.1k$54,063.000000$9,687.000000$41,888.000000$34,806.000000$63,750.000000$63.8k7156$-29,722.000000$-31,634.000000$-29,722.000000$29.7k$29,722.000000$14,966.000000$31,634.000000$20,598.000000$44,688.000000$44.7k294232
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 Butler County and Valencia
Valencia
Butler County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.964912%83.364773%85.964912%86.0%4971.830986%76.899849%71.830986%71.8%5156.862745%71.249748%56.862745%56.9%2913.636364%51.460198%13.636364%13.6%3
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Butler County and Valencia
Female Male
Butler County
Valencia
Shaded bar tips show excess over facing bar.
10%5%0%5%MFWhite1-3.493450%-7.731040%-6.131303%-11.224490%11.2%3.493450%6.131303%0.460773%3.493450%3.5%833
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 Butler County and Valencia
Female Male
Butler County
Valencia
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1-36.394558%-32.764092%-0.054053%-36.394558%36.4%36.394558%12.513739%32.764092%48.908297%48.9%112107
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 Pittsburgh Area

There are 460 county subdivisions in the Pittsburgh Area. This section compares Valencia to the 50 most populous county subdivisions in the Pittsburgh Area and to those entities that contain or substantially overlap with Valencia. The least populous of the compared county subdivisions has a population of 11,197.

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 Valencia, selected other county subdivisions in the Pittsburgh Area, and entities that contain Valencia
0%5%10%Count#McKeesportWashingtonUnited States of AmericaUnited StatesNorth Union TownshipN UnionNew KensingtonMiddle AtlanticNortheastButlerDerry TownshipDerryPennsylvaniaWilkinsburgWhitehallPittsburghValenciaValenciaHopewell TownshipHopewellGreensburgWest Deer TownshipW DeerHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghMunhallRobinson TownshipRobinsonUnity TownshipUnityPenn Hills TownshipPenn HlsNorth Fayette TownshipN FayetteButler CountyButlerBaldwinCecil TownshipCecilLower BurrellWest MifflinRoss TownshipButler TownshipButlerCenter TownshipCtrSouth Fayette TownshipS FayetteShaler TownshipShalerScott TownshipScottMoon TownshipRostraver TownshipRostraverMonroevillePlumNorth Strabane TownshipN Strabane912402Tract 912402Penn TownshipBethel ParkNorth Huntingdon TownshipN HuntingdonElizabeth TownshipElizabethRichland TownshipRichlandMcCandless TownshipMcCandlessZIP Code 16059ZIP 16059Cranberry TownshipCranberryMurrysvilleMars Area School DistrictMarsHampton TownshipHamptonSouth Park TownshipS PkJefferson HillsJefferson HlsAdams TownshipAdamsPeters TownshipPetersMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairFranklin ParkPine Township13.745428%13.745428%13.7%1,879113.102099%13.102099%13.1%1,205213.020590%13.020590%13.0%27,818,38027.8M12.479966%12.479966%12.5%1,168312.421834%12.421834%12.4%1,172412.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M10.908131%10.908131%10.9%1,033510.696587%10.696587%10.7%1,144610.459911%10.459911%10.5%925,686926k9.211661%9.211661%9.2%1,06878.658663%8.658663%8.7%91688.043576%8.043576%8.0%16,40616.4k97.794677%7.794677%7.8%417.794677%7.794677%7.8%417.739130%7.739130%7.7%712107.388471%7.388471%7.4%737117.301011%7.301011%7.3%643127.148505%7.148505%7.1%2,260137.130926%7.130926%7.1%120,640121k7.016473%7.016473%7.0%575146.941165%6.941165%6.9%735156.896773%6.896773%6.9%1,073166.765076%6.765076%6.8%2,099176.577684%6.577684%6.6%685186.487713%6.487713%6.5%8,4646.396191%6.396191%6.4%927196.077348%6.077348%6.1%517205.862312%5.862312%5.9%499215.671885%5.671885%5.7%837225.637439%5.637439%5.6%1,354235.636235%5.636235%5.6%718245.507623%5.507623%5.5%466255.441079%5.441079%5.4%573265.338744%5.338744%5.3%1,171275.249464%5.249464%5.2%686285.169841%5.169841%5.2%866295.119920%5.119920%5.1%412304.869736%4.869736%4.9%1,043314.837339%4.837339%4.8%968324.716532%4.716532%4.7%495334.412355%4.412355%4.4%2204.364142%4.364142%4.4%628344.315126%4.315126%4.3%1,027354.016913%4.016913%4.0%912363.965778%3.965778%4.0%394373.450863%3.450863%3.5%276383.276003%3.276003%3.3%680393.233492%3.233492%3.2%1903.194067%3.194067%3.2%646403.192710%3.192710%3.2%473413.103282%3.103282%3.1%4513.067020%3.067020%3.1%405422.955466%2.955466%3.0%292432.824360%2.824360%2.8%224442.373068%2.373068%2.4%215452.271945%2.271945%2.3%330461.930306%1.930306%1.9%457471.324503%1.324503%1.3%176481.026905%1.026905%1.0%100490.730994%0.730994%0.7%6050
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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Valencia, selected other county subdivisions in the Pittsburgh Area, and entities that contain Valencia
0%20%40%60%Count#Pine TownshipFranklin ParkMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairPeters TownshipPetersAdams TownshipAdamsMcCandless TownshipMcCandlessCranberry TownshipCranberryMurrysvilleRichland TownshipRichlandHampton TownshipHamptonMoon TownshipMars Area School DistrictMarsRobinson TownshipRobinsonSouth Fayette TownshipS Fayette912402Tract 912402Bethel ParkNorth Strabane TownshipN StrabaneScott TownshipScottRoss TownshipJefferson HillsJefferson HlsValenciaValenciaPittsburghZIP Code 16059ZIP 16059Cecil TownshipCecilMonroevilleNorth Fayette TownshipN FayettePlumShaler TownshipShalerSouth Park TownshipS PkPenn TownshipNortheastMiddle AtlanticNorth Huntingdon TownshipN HuntingdonButler CountyButlerGreensburgCenter TownshipCtrWhitehallPittsburgh Metro AreaPittsburghUnity TownshipUnityWest Deer TownshipW DeerHempfield TownshipHempfieldWilkinsburgUnited States of AmericaUnited StatesButler TownshipButlerPennsylvaniaPenn Hills TownshipPenn HlsMunhallBaldwinRostraver TownshipRostraverHopewell TownshipHopewellLower BurrellElizabeth TownshipElizabethNew KensingtonWest MifflinWashingtonButlerNorth Union TownshipN UnionDerry TownshipDerryMcKeesport72.843567%72.843567%72.8%5,979170.384062%70.384062%70.4%6,854268.861668%68.861668%68.9%16,30316.3k368.550572%68.550572%68.6%9,109460.984509%60.984509%61.0%8,858558.763797%58.763797%58.8%5,324657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k852.480594%52.480594%52.5%7,775952.250563%52.250563%52.3%4,1791050.836804%50.836804%50.8%6,7131149.800012%49.800012%49.8%8,3421249.797014%49.797014%49.8%7,23747.728775%47.728775%47.7%5,0541346.871142%46.871142%46.9%4,9361446.450060%46.450060%46.5%2,31645.546218%45.546218%45.5%10,84010.8k1545.192949%45.192949%45.2%4,7431643.587389%43.587389%43.6%5,6961743.209260%43.209260%43.2%10,37810.4k1842.894969%42.894969%42.9%3,4021942.205323%42.205323%42.2%22242.205323%42.205323%42.2%22240.731207%40.731207%40.7%83,07783.1k2039.703880%39.703880%39.7%2,33339.155989%39.155989%39.2%3,3312138.668410%38.668410%38.7%8,2822238.419435%38.419435%38.4%4,0012336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.050607%35.050607%35.1%3,4632634.933982%34.933982%34.9%5,0272734.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032833.290153%33.290153%33.3%43,43143.4k33.042607%33.042607%33.0%3,2962932.880274%32.880274%32.9%2,7823032.857548%32.857548%32.9%3,4763132.546256%32.546256%32.5%550,613551k31.932125%31.932125%31.9%4,9683231.702055%31.702055%31.7%2,7923330.903052%30.903052%30.9%9,7703430.714162%30.714162%30.7%3,5613530.315023%30.315023%30.3%64,767,78764.8M29.963105%29.963105%30.0%3,8173629.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163726.430750%26.430750%26.4%2,1663826.371352%26.371352%26.4%3,8223925.885423%25.885423%25.9%2,0834025.586957%25.586957%25.6%2,3544125.281955%25.281955%25.3%2,1524224.992451%24.992451%25.0%2,4834323.624801%23.624801%23.6%2,2294422.003117%22.003117%22.0%3,2474517.951506%17.951506%18.0%1,6514616.282999%16.282999%16.3%1,5424713.505716%13.505716%13.5%1,2644812.837775%12.837775%12.8%1,3734912.267740%12.267740%12.3%1,67750
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#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 Valencia, selected other county subdivisions in the Pittsburgh Area, and entities that contain Valencia
0%5%10%Count#Franklin ParkMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairHampton TownshipHamptonPine TownshipPittsburghMurrysvilleMcCandless TownshipMcCandlessPeters TownshipPetersMoon TownshipUnity TownshipUnityCranberry TownshipCranberryMonroevilleRoss TownshipRichland TownshipRichlandBethel ParkNortheastMiddle AtlanticAdams TownshipAdamsPittsburgh Metro AreaPittsburghNorth Strabane TownshipN StrabaneMars Area School DistrictMarsUnited States of AmericaUnited StatesPennsylvaniaShaler TownshipShalerSouth Fayette TownshipS FayetteScott TownshipScottCecil TownshipCecilGreensburgZIP Code 16059ZIP 16059Rostraver TownshipRostraverWilkinsburgNorth Fayette TownshipN Fayette912402Tract 912402Butler CountyButlerMunhallHempfield TownshipHempfieldValenciaValenciaSouth Park TownshipS PkWhitehallRobinson TownshipRobinsonPenn Hills TownshipPenn HlsPenn TownshipElizabeth TownshipElizabethCenter TownshipCtrHopewell TownshipHopewellLower BurrellNew KensingtonJefferson HillsJefferson HlsNorth Huntingdon TownshipN HuntingdonButler TownshipButlerPlumBaldwinWest Deer TownshipW DeerWashingtonButlerWest MifflinNorth Union TownshipN UnionMcKeesportDerry TownshipDerry13.134114%13.134114%13.1%1,279112.929250%12.929250%12.9%3,061212.409693%12.409693%12.4%1,64938.436198%8.436198%8.4%1,11447.614522%7.614522%7.6%62557.432194%7.432194%7.4%15,15915.2k67.080661%7.080661%7.1%1,04976.966325%6.966325%7.0%1,44686.781411%6.781411%6.8%98594.871351%4.871351%4.9%816104.769251%4.769251%4.8%742114.697157%4.697157%4.7%950124.440190%4.440190%4.4%951134.221834%4.221834%4.2%1,014144.201050%4.201050%4.2%336154.105042%4.105042%4.1%977164.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.741722%3.741722%3.7%339173.600869%3.600869%3.6%60,91960.9k3.439733%3.439733%3.4%361183.378518%3.378518%3.4%4913.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713193.228563%3.228563%3.2%340203.221610%3.221610%3.2%421213.044552%3.044552%3.0%259222.957393%2.957393%3.0%295232.825051%2.825051%2.8%1662.758792%2.758792%2.8%222242.682422%2.682422%2.7%311252.669483%2.669483%2.7%278262.587244%2.587244%2.6%1292.580062%2.580062%2.6%3,3662.489323%2.489323%2.5%204272.479836%2.479836%2.5%784282.471483%2.471483%2.5%132.471483%2.471483%2.5%132.469636%2.469636%2.5%244292.438794%2.438794%2.4%258302.408159%2.408159%2.4%255312.356013%2.356013%2.4%731322.251564%2.251564%2.3%324332.194263%2.194263%2.2%218342.021038%2.021038%2.0%171352.000000%2.000000%2.0%184361.985432%1.985432%2.0%169371.907790%1.907790%1.9%180381.866095%1.866095%1.9%148391.814658%1.814658%1.8%412401.562132%1.562132%1.6%199411.544151%1.544151%1.5%309421.483475%1.483475%1.5%215431.226297%1.226297%1.2%108441.141677%1.141677%1.1%105451.024287%1.024287%1.0%97460.955479%0.955479%1.0%141470.758628%0.758628%0.8%71480.548647%0.548647%0.5%75490.448808%0.448808%0.4%4850
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#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 Valencia, selected other county subdivisions in the Pittsburgh Area, and entities that contain Valencia
Female
Male
3x2x1x0x1xFM#PetersShalerAdamsLower BurrellN StrabaneCtrWhitehallRostraverMunhallMt LebanonWest MifflinNew KensingtonWilkinsburgHempfieldDerryMcKeesportPine TownshipUnityN UnionUnited StatesPennsylvaniaMarsS FayetteButlerNortheastMiddle AtlanticPenn TownshipBaldwinPittsburghMoon TownshipPlumMurrysvillePenn HlsWashingtonButlerZIP 16059PittsburghN FayetteElizabethBethel ParkCecilMonroevilleUpper St. ClairW DeerButlerJefferson HlsMcCandlessHamptonN HuntingdonRoss TownshipGreensburgRobinsonS PkTract 912402HopewellScottCranberryRichlandFranklin ParkValenciaValencia-1.000000x-1.000000x1.982039x1.982039x1.98x1.545%1.55%3.063%3.06%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.512764x1.512764x1.51x1.894%1.89%2.865%2.87%3-1.000000x-1.000000x1.429753x1.429753x1.43x4.856%4.86%6.943%6.94%4-1.000000x-1.000000x1.427362x1.427362x1.43x3.889%3.89%5.551%5.55%5-1.000000x-1.000000x1.405987x1.405987x1.41x4.637%4.64%6.520%6.52%6-1.000000x-1.000000x1.355787x1.355787x1.36x7.478%7.48%10.138%10.1%7-1.000000x-1.000000x1.337913x1.337913x1.34x4.379%4.38%5.859%5.86%8-1.000000x-1.000000x1.321989x1.321989x1.32x6.071%6.07%8.026%8.03%9-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%10-1.000000x-1.000000x1.309286x1.309286x1.31x4.977%4.98%6.517%6.52%11-1.000000x-1.000000x1.279801x1.279801x1.28x10.987%11.0%14.062%14.1%12-1.000000x-1.000000x1.249216x1.249216x1.25x8.344%8.34%10.424%10.4%13-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%14-1.000000x-1.000000x1.214660x1.214660x1.21x9.690%9.69%11.770%11.8%15-1.000000x-1.000000x1.207679x1.207679x1.21x12.567%12.6%15.177%15.2%16-1.000000x-1.000000x1.141684x1.141684x1.14x0.684%0.68%0.781%0.78%17-1.000000x-1.000000x1.130306x1.130306x1.13x6.490%6.49%7.336%7.34%18-1.000000x-1.000000x1.120959x1.120959x1.12x11.824%11.8%13.254%13.3%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.088704x1.088704x1.09x2.974%2.97%3.238%3.24%-1.000000x-1.000000x1.087339x1.087339x1.09x5.225%5.23%5.682%5.68%20-1.000000x-1.000000x1.087130x1.087130x1.09x6.224%6.22%6.766%6.77%-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-1.000000x1.040383x1.040383x1.04x4.281%4.28%4.453%4.45%21-1.000000x-1.000000x1.029151x1.029151x1.03x6.309%6.31%6.493%6.49%22-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-1.000000x-1.000000x1.010004x1.010004x1.01x5.143%5.14%5.195%5.19%23-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%24-1.000014x-1.000014x1.00x1.000000x1.000000x3.193%3.19%3.193%3.19%25-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%26-1.018234x-1.018234x1.02x1.000000x1.000000x13.217%13.2%12.980%13.0%27-1.038960x-1.038960x1.04x1.000000x1.000000x11.113%11.1%10.697%10.7%28-1.045790x-1.045790x1.05x1.000000x1.000000x3.304%3.30%3.160%3.16%-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%29-1.086419x-1.086419x1.09x1.000000x1.000000x6.842%6.84%6.298%6.30%30-1.105460x-1.105460x1.11x1.000000x1.000000x4.147%4.15%3.752%3.75%31-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%32-1.135043x-1.135043x1.14x1.000000x1.000000x6.447%6.45%5.680%5.68%33-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%34-1.165296x-1.165296x1.17x1.000000x1.000000x1.419%1.42%1.218%1.22%35-1.184230x-1.184230x1.18x1.000000x1.000000x7.893%7.89%6.665%6.67%36-1.191524x-1.191524x1.19x1.000000x1.000000x6.102%6.10%5.121%5.12%37-1.209319x-1.209319x1.21x1.000000x1.000000x3.075%3.08%2.543%2.54%38-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%39-1.279586x-1.279586x1.28x1.000000x1.000000x3.416%3.42%2.670%2.67%40-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%41-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%42-1.304698x-1.304698x1.30x1.000000x1.000000x8.186%8.19%6.274%6.27%43-1.371760x-1.371760x1.37x1.000000x1.000000x7.980%7.98%5.818%5.82%44-1.372742x-1.372742x1.37x1.000000x1.000000x3.393%3.39%2.472%2.47%45-1.421062x-1.421062x1.42x1.000000x1.000000x5.147%5.15%3.622%3.62%-1.422764x-1.422764x1.42x1.000000x1.000000x9.058%9.06%6.366%6.37%46-1.679137x-1.679137x1.68x1.000000x1.000000x6.460%6.46%3.847%3.85%47-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%48-2.427134x-2.427134x2.43x1.000000x1.000000x4.789%4.79%1.973%1.97%49-2.643304x-2.643304x2.64x1.000000x1.000000x1.483%1.48%0.561%0.56%50-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%
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#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 Valencia, selected other county subdivisions in the Pittsburgh Area, and entities that contain Valencia
Female
Male
2x0x2x4x6xFM#ValenciaValenciaDerryLower BurrellRichlandMcKeesportWhitehallHopewellN StrabaneElizabethButlerS PkWest MifflinUnityPine TownshipUpper St. ClairMt LebanonPenn TownshipZIP 16059HempfieldNew KensingtonN HuntingdonCranberryBaldwinMurrysvilleButlerRoss TownshipWilkinsburgMcCandlessPetersFranklin ParkPittsburghPennsylvaniaW DeerHamptonScottS FayetteMonroevilleUnited StatesMiddle AtlanticNortheastGreensburgMoon TownshipPittsburghCecilMarsButlerCtrBethel ParkShalerAdamsTract 912402Jefferson HlsRostraverPlumPenn HlsN UnionWashingtonMunhallN FayetteRobinson-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x5.335330x5.335330x5.34x0.145%0.14%0.773%0.77%1-1.000000x-1.000000x4.424405x4.424405x4.42x0.749%0.75%3.313%3.31%2-1.000000x-1.000000x4.195896x4.195896x4.20x1.668%1.67%6.998%7.00%3-1.000000x-1.000000x4.142305x4.142305x4.14x0.227%0.23%0.939%0.94%4-1.000000x-1.000000x3.501723x3.501723x3.50x1.156%1.16%4.047%4.05%5-1.000000x-1.000000x3.033869x3.033869x3.03x1.002%1.00%3.039%3.04%6-1.000000x-1.000000x2.907647x2.907647x2.91x1.764%1.76%5.130%5.13%7-1.000000x-1.000000x2.776795x2.776795x2.78x1.209%1.21%3.357%3.36%8-1.000000x-1.000000x2.751751x2.751751x2.75x0.853%0.85%2.346%2.35%9-1.000000x-1.000000x2.747368x2.747368x2.75x1.350%1.35%3.708%3.71%10-1.000000x-1.000000x2.680211x2.680211x2.68x0.543%0.54%1.456%1.46%11-1.000000x-1.000000x2.576396x2.576396x2.58x2.712%2.71%6.988%6.99%12-1.000000x-1.000000x2.408624x2.408624x2.41x4.529%4.53%10.910%10.9%13-1.000000x-1.000000x2.390630x2.390630x2.39x7.507%7.51%17.946%17.9%14-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%15-1.000000x-1.000000x2.289886x2.289886x2.29x1.386%1.39%3.175%3.17%16-1.000000x-1.000000x2.280609x2.280609x2.28x1.736%1.74%3.958%3.96%-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%17-1.000000x-1.000000x2.072311x2.072311x2.07x1.272%1.27%2.635%2.64%18-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%19-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%20-1.000000x-1.000000x1.910738x1.910738x1.91x1.036%1.04%1.980%1.98%21-1.000000x-1.000000x1.846175x1.846175x1.85x5.036%5.04%9.297%9.30%22-1.000000x-1.000000x1.831896x1.831896x1.83x1.837%1.84%3.365%3.37%-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%23-1.000000x-1.000000x1.707474x1.707474x1.71x2.071%2.07%3.537%3.54%24-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%25-1.000000x-1.000000x1.668074x1.668074x1.67x5.138%5.14%8.571%8.57%26-1.000000x-1.000000x1.636144x1.636144x1.64x9.992%9.99%16.348%16.3%27-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.623772x1.623772x1.62x0.943%0.94%1.531%1.53%28-1.000000x-1.000000x1.622133x1.622133x1.62x6.534%6.53%10.599%10.6%29-1.000000x-1.000000x1.596146x1.596146x1.60x2.524%2.52%4.029%4.03%30-1.000000x-1.000000x1.591763x1.591763x1.59x2.523%2.52%4.015%4.02%31-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%32-1.000000x-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-1.000000x1.485812x1.485812x1.49x2.459%2.46%3.654%3.65%33-1.000000x-1.000000x1.468207x1.468207x1.47x3.925%3.93%5.763%5.76%34-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%35-1.000000x-1.000000x1.365883x1.365883x1.37x2.588%2.59%3.535%3.53%36-1.000000x-1.000000x1.320077x1.320077x1.32x2.920%2.92%3.854%3.85%-1.000000x-1.000000x1.293502x1.293502x1.29x0.895%0.89%1.158%1.16%37-1.000000x-1.000000x1.292650x1.292650x1.29x1.780%1.78%2.301%2.30%38-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%39-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%40-1.000000x-1.000000x1.164008x1.164008x1.16x3.462%3.46%4.030%4.03%41-1.000000x-1.000000x1.162526x1.162526x1.16x2.399%2.40%2.789%2.79%-1.000000x-1.000000x1.092916x1.092916x1.09x1.788%1.79%1.954%1.95%42-1.000000x-1.000000x1.034381x1.034381x1.03x2.712%2.71%2.805%2.81%43-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%44-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%45-1.301386x-1.301386x1.30x1.000000x1.000000x0.849%0.85%0.652%0.65%46-1.407989x-1.407989x1.41x1.000000x1.000000x1.328%1.33%0.943%0.94%47-1.511966x-1.511966x1.51x1.000000x1.000000x2.977%2.98%1.969%1.97%48-1.536489x-1.536489x1.54x1.000000x1.000000x3.216%3.22%2.093%2.09%49-2.396983x-2.396983x2.40x1.000000x1.000000x3.345%3.34%1.395%1.40%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 Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares Valencia to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Valencia. The least populous of the compared county subdivisions has a population of 27,333.

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 Valencia, selected other county subdivisions in Pennsylvania, and entities that contain Valencia
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghValenciaValenciaFalls TownshipFallsHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghPenn Hills TownshipPenn HlsButler CountyButlerLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenham912402Tract 912402Bethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessZIP Code 16059ZIP 16059Haverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryMars Area School DistrictMarsState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.794677%7.794677%7.8%417.794677%7.794677%7.8%417.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260247.130926%7.130926%7.1%120,640121k6.765076%6.765076%6.8%2,099256.487713%6.487713%6.5%8,4646.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.412355%4.412355%4.4%2204.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.233492%3.233492%3.2%1903.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646443.103282%3.103282%3.1%4512.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
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 Valencia, selected other county subdivisions in Pennsylvania, and entities that contain Valencia
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonMars Area School DistrictMarsLower Macungie TownshipLower MacungieAbington TownshipAbington912402Tract 912402Manheim TownshipManheimBethel ParkRoss TownshipValenciaValenciaPittsburghMillcreek TownshipMillcreekZIP Code 16059ZIP 16059MonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonButler CountyButlerPittsburgh Metro AreaPittsburghHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.797014%49.797014%49.8%7,23749.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1546.450060%46.450060%46.5%2,31645.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1842.205323%42.205323%42.2%22242.205323%42.205323%42.2%22240.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2039.703880%39.703880%39.7%2,33338.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032833.290153%33.290153%33.3%43,43143.4k32.546256%32.546256%32.5%550,613551k30.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
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 Valencia, selected other county subdivisions in Pennsylvania, and entities that contain Valencia
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaPittsburgh Metro AreaPittsburghLower Paxton TownshipLower PaxtonMars Area School DistrictMarsUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerZIP Code 16059ZIP 16059WilliamsportSpring TownshipSpg912402Tract 912402Butler CountyButlerLancasterHempfield TownshipHempfieldValenciaValenciaUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.600869%3.600869%3.6%60,91960.9k3.466589%3.466589%3.5%1,188253.378518%3.378518%3.4%4913.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.825051%2.825051%2.8%1662.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.587244%2.587244%2.6%1292.580062%2.580062%2.6%3,3662.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.471483%2.471483%2.5%132.471483%2.471483%2.5%132.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
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 Valencia, selected other county subdivisions in Pennsylvania, and entities that contain Valencia
Female
Male
3x2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaMarsButlerNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePittsburghPlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonZIP 16059MiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipTract 912402NorthamptonYork TownshipState CollegeTredyffrinCranberryValenciaValencia-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%6-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%7-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%8-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.088704x1.088704x1.09x2.974%2.97%3.238%3.24%-1.000000x-1.000000x1.087130x1.087130x1.09x6.224%6.22%6.766%6.77%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%22-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%24-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.045790x-1.045790x1.05x1.000000x1.000000x3.304%3.30%3.160%3.16%-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%42-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%43-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%44-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%45-1.421062x-1.421062x1.42x1.000000x1.000000x5.147%5.15%3.622%3.62%-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%46-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%47-1.583597x-1.583597x1.58x1.000000x1.000000x3.691%3.69%2.330%2.33%48-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%
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 Valencia, selected other county subdivisions in Pennsylvania, and entities that contain Valencia
Female
Male
0x2x4x6xFM#ValenciaValenciaFallsSpgChesterLower PaxtonHampdenMt LebanonZIP 16059AltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieButlerScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPittsburghPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaMarsWilkes-BarreBethel ParkShalerErieTract 912402BensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.280609x2.280609x2.28x1.736%1.74%3.958%3.96%-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%21-1.000000x-1.000000x1.837949x1.837949x1.84x4.437%4.44%8.155%8.15%22-1.000000x-1.000000x1.831896x1.831896x1.83x1.837%1.84%3.365%3.37%-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%26-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%27-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%28-1.000000x-1.000000x1.661960x1.661960x1.66x11.969%12.0%19.892%19.9%29-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%30-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.591202x1.591202x1.59x6.501%6.50%10.344%10.3%31-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%34-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%35-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%36-1.000000x-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-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%37-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%39-1.000000x-1.000000x1.320077x1.320077x1.32x2.920%2.92%3.854%3.85%-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%40-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%41-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%42-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%43-1.000000x-1.000000x1.162526x1.162526x1.16x2.399%2.40%2.789%2.79%-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%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 Valencia to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Valencia. 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 Valencia, selected other county subdivisions in the Northeast, and entities that contain Valencia
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonValenciaValenciaToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghPittsburgh Metro AreaPittsburghButler CountyButlerCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown912402Tract 912402ZIP Code 16059ZIP 16059Mars Area School DistrictMars28.837398%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%25,82725.8k2813.020590%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%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%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%5,836427.794677%7.794677%7.8%417.794677%7.794677%7.8%417.603506%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%4,660467.130926%7.130926%7.1%120,640121k6.487713%6.487713%6.5%8,4645.858411%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%3,744504.412355%4.412355%4.4%2203.233492%3.233492%3.2%1903.103282%3.103282%3.1%451
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 Valencia, selected other county subdivisions in the Northeast, and entities that contain Valencia
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonMars Area School DistrictMarsTown of Oyster BayOyster BayTown of StamfordStamford912402Tract 912402BostonTown of SmithtownSmithtownJersey CityValenciaValenciaQuincyPittsburghZIP Code 16059ZIP 16059Town of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticButler CountyButlerPittsburgh Metro AreaPittsburghTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown 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%71,41271.4k749.797014%49.797014%49.8%7,23748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.450060%46.450060%46.5%2,31646.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.205323%42.205323%42.2%22242.205323%42.205323%42.2%22242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1439.703880%39.703880%39.7%2,33338.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%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%9,577,4379.58M33.290153%33.290153%33.3%43,43143.4k32.546256%32.546256%32.5%550,613551k32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%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 Valencia, selected other county subdivisions in the Northeast, and entities that contain Valencia
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyPittsburgh Metro AreaPittsburghWorcesterYonkersBrooklynMars Area School DistrictMarsUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandZIP Code 16059ZIP 16059QueensToms River TownshipToms RivRochester912402Tract 912402Butler CountyButlerValenciaValenciaTown 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%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%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%2,583223.600869%3.600869%3.6%60,91960.9k3.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.378518%3.378518%3.4%4913.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.825051%2.825051%2.8%1662.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.587244%2.587244%2.6%1292.580062%2.580062%2.6%3,3662.471483%2.471483%2.5%132.471483%2.471483%2.5%132.384356%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 Valencia, selected other county subdivisions in the Northeast, and entities that contain Valencia
Female
Male
3x2x1x0x1xFM#StamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaMarsButlerHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonPittsburghStaten IslandAlbanyBrocktonBostonQueensManhattanZIP 16059BuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdisonTract 912402ValenciaValencia-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-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-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-1.000000x1.088704x1.088704x1.09x2.974%2.97%3.238%3.24%-1.000000x-1.000000x1.087130x1.087130x1.09x6.224%6.22%6.766%6.77%-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-1.000000x1.040899x1.040899x1.04x20.290%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-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-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%39-1.045790x-1.045790x1.05x1.000000x1.000000x3.304%3.30%3.160%3.16%-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%50-1.421062x-1.421062x1.42x1.000000x1.000000x5.147%5.15%3.622%3.62%-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%
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 Valencia, selected other county subdivisions in the Northeast, and entities that contain Valencia
Female
Male
0x2x4x6xFM#ValenciaValenciaLakewoodZIP 16059AllentownToms RivButlerWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPittsburghPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceMarsBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityTract 912402BabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.280609x2.280609x2.28x1.736%1.74%3.958%3.96%-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-1.000000x1.831896x1.831896x1.83x1.837%1.84%3.365%3.37%-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-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%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-1.000000x1.320077x1.320077x1.32x2.920%2.92%3.854%3.85%-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-1.000000x1.162526x1.162526x1.16x2.399%2.40%2.789%2.79%-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 Valencia to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Valencia. 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 Valencia, selected other county subdivisions in the United States, and entities that contain Valencia
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 VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantValenciaValenciaPittsburgh Metro AreaPittsburghButler CountyButlerPlanoSeattle East912402Tract 912402ZIP Code 16059ZIP 16059Mars Area School DistrictMars28.998944%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%63,64263.6k2713.900512%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%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%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%31,44331.4k487.794677%7.794677%7.8%417.794677%7.794677%7.8%417.130926%7.130926%7.1%120,640121k6.487713%6.487713%6.5%8,4645.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.412355%4.412355%4.4%2203.233492%3.233492%3.2%1903.103282%3.103282%3.1%451
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 Valencia, selected other county subdivisions in the United States, and entities that contain Valencia
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaMars Area School DistrictMarsSeattle912402Tract 912402BostonDenverAustinValenciaValenciaTownship 1:Charlotte1, CharlotteZIP Code 16059ZIP 16059Town of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticButler CountyButlerSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerquePittsburgh Metro AreaPittsburghTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong 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%195,136195k749.797014%49.797014%49.8%7,23749.626221%49.626221%49.6%372,018372k846.450060%46.450060%46.5%2,31646.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1142.205323%42.205323%42.2%22242.205323%42.205323%42.2%22241.989192%41.989192%42.0%223,068223k1239.703880%39.703880%39.7%2,33338.767308%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%13,437,26113.4M34.685843%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%9,577,4379.58M33.290153%33.290153%33.3%43,43143.4k33.231104%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%140,967141k2432.546256%32.546256%32.5%550,613551k32.512191%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%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%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 Valencia, selected other county subdivisions in the United States, and entities that contain Valencia
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyPittsburgh Metro AreaPittsburghTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoMars Area School DistrictMarsColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoZIP Code 16059ZIP 16059Anaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE Tarrant912402Tract 912402Butler CountyButlerEast San Gabriel ValleyE San Gabriel VlyValenciaValenciaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.085016%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%45,61045.6k253.600869%3.600869%3.6%60,91960.9k3.490252%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%25,05825.1k293.378518%3.378518%3.4%4913.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%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%11,83311.8k352.825051%2.825051%2.8%1662.763004%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%9,827392.587244%2.587244%2.6%1292.580062%2.580062%2.6%3,3662.484535%2.484535%2.5%15,54715.5k402.471483%2.471483%2.5%132.471483%2.471483%2.5%132.324315%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 Valencia, selected other county subdivisions in the United States, and entities that contain Valencia
Female
Male
3x2x1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaMarsOntarioButlerSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynPittsburghSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanZIP 16059SeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl PasoTract 912402ValenciaValencia-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-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-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-1.000000x1.088704x1.088704x1.09x2.974%2.97%3.238%3.24%-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.087130x1.087130x1.09x6.224%6.22%6.766%6.77%-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-1.000000x1.040742x1.040742x1.04x8.257%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-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-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%43-1.045790x-1.045790x1.05x1.000000x1.000000x3.304%3.30%3.160%3.16%-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%50-1.421062x-1.421062x1.42x1.000000x1.000000x5.147%5.15%3.622%3.62%-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%-3.255102x-3.255102x3.26x1.000000x1.000000x11.224%11.2%3.448%3.45%
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 Valencia, selected other county subdivisions in the United States, and entities that contain Valencia
Female
Male
0x2x4x6xFM#ValenciaValenciaZIP 16059El PasoSalt Lk CityButlerPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPittsburghPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaMarsOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodTract 912402DenverSan FranciscoDetroit-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x6.969828x6.969828x6.97x0.680%0.68%4.741%4.74%-1.000000x-1.000000x2.280609x2.280609x2.28x1.736%1.74%3.958%3.96%-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-1.000000x1.831896x1.831896x1.83x1.837%1.84%3.365%3.37%-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-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-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-1.000000x1.502828x1.502828x1.50x3.134%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-1.000000x1.413654x1.413654x1.41x2.801%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-1.000000x1.320077x1.320077x1.32x2.920%2.92%3.854%3.85%-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-1.000000x1.162526x1.162526x1.16x2.399%2.40%2.789%2.79%-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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Butler
Metro Area:
Pittsburgh Area
Borough:
Valencia
ZIP Code:
16059
Unified School District:
Mars
Congressional District:
PA-3
State Senate District:
PA-21
State House District:
PA-12
Neighboring Townships:
Adams, Pine, Richland
Nearby Townships:
Cranberry, Hampton, Marshall, McCandless, Middlesex, West Deer