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

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Butler County and Connoquenessing
Connoquenessing
Butler County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma243.714286%42.915945%43.714286%43.7%15347.142857%50.596342%47.142857%47.1%1659.142857%6.487713%9.142857%9.1%32
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 Connoquenessing
-40%-20%-0%+20%+40%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma21.860243%1.860243%+1.9%43.714%43.7%42.916%42.9%-6.825563%-6.825563%-6.8%47.143%47.1%50.596%50.6%40.925736%40.925736%+40.9%9.143%9.14%6.488%6.49%
% percentage with given level in Connoquenessing
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 Connoquenessing
Connoquenessing
Butler County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.285714%1.174288%0.285714%0.3%10.000000%0.000000%0.0%1.405773%010.000000%9.371311%10.000000%10.0%3525.428571%21.338781%25.428571%25.4%898.000000%9.625791%8.000000%8.0%2810.000000%16.417041%10.000000%10.0%3537.142857%34.179301%37.142857%37.1%1307.428571%4.714783%7.428571%7.4%261.714286%1.194217%1.714286%1.7%60.000000%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 Connoquenessing
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-75.669153%-75.669153%-75.7%0.286%0.29%1.174%1.17%-100.000000%-100.000000%-100.0%0.000%0%1.406%1.41%6.708654%6.708654%+6.7%10.000%10.0%9.371%9.37%19.166000%19.166000%+19.2%25.429%25.4%21.339%21.3%-16.889951%-16.889951%-16.9%8.000%8.00%9.626%9.63%-39.087683%-39.087683%-39.1%10.000%10.0%16.417%16.4%8.670616%8.670616%+8.7%37.143%37.1%34.179%34.2%57.559143%57.559143%+57.6%7.429%7.43%4.715%4.71%43.548872%43.548872%+43.5%1.714%1.71%1.194%1.19%-100.000000%-100.000000%-100.0%0.000%0%0.579%0.58%
% percentage with given level in Connoquenessing
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 Connoquenessing
More Females More Males
Butler County
Connoquenessing
0%50%100%150%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-19.117647%-3.366639%-19.117647%19%47.647%47.6%40.000%40.0%-2.100840%-2.100840%2%1.750004%47.647%47.6%46.667%46.7%183.333333%8.713037%183.333333%183%4.706%4.71%13.333%13.3%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Butler County and Connoquenessing
More Females More Males
Butler County
Connoquenessing
1k%0k%1k%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-1,000.000000%-1,000.000000%> 1000%95.708517%0.588%0.59%0.000%0%-12.110727%-23.187264%-12.110727%0k%10.588%10.6%9.444%9.44%-3.529412%-3.529412%0k%3.423413%25.882%25.9%25.000%25.0%-90.588235%-19.740580%-90.588235%0k%10.588%10.6%5.556%5.56%59.829060%1.276544%59.829060%0k%7.647%7.65%12.222%12.2%-16.129032%-16.129032%0k%1.978188%40.000%40.0%34.444%34.4%112.500000%9.079221%112.500000%0k%4.706%4.71%10.000%10.0%1,000.000000%20.112424%1,000.000000%> 1000%0.000%0%3.333%3.33%
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 Connoquenessing
Connoquenessing
Butler County
0%10%20%30%40%B.X.Total65+45-6435-4425-3421.333333%10.911567%21.333333%21.3%167514.925373%20.757433%14.925373%14.9%2013442.253521%29.262632%42.253521%42.3%307132.857143%30.459514%32.857143%32.9%2370
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 Connoquenessing
20%0%20%40%60%80%%ref.65+45-6435-4425-3495.511176%95.511176%95.5%21.333%21.3%10.912%10.9%-28.096248%-28.096248%28.1%14.925%14.9%20.757%20.8%44.394126%44.394126%44.4%42.254%42.3%29.263%29.3%7.871526%7.871526%7.9%32.857%32.9%30.460%30.5%
% percentage in Connoquenessing 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 Connoquenessing
More Females More Males
Butler County
Connoquenessing
40%20%0%20%40%60%FM65+45-6435-4425-3441.935484%52.645861%41.935484%41.9%18.182%18.2%25.806%25.8%-17.520661%-17.520661%17.5%6.031839%16.364%16.4%13.924%13.9%-46.341463%-7.314086%-46.341463%46.3%48.780%48.8%33.333%33.3%-30.220954%71.428571%71.428571%71.4%23.333%23.3%40.000%40.0%
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 Connoquenessing
Connoquenessing
Butler County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$68,125.000000$71,367.000000$68,125.000000$68.1k3610.286%10.3%$38,125.000000$56,656.000000$38,125.000000$38.1k8925.429%25.4%$45,833.000000$37,549.000000$45,833.000000$45.8k6318.000%18.0%$33,750.000000$31,011.000000$33,750.000000$33.8k13037.143%37.1%$50,833.000000$20,427.000000$50,833.000000$50.8k329.143%9.14%$40,000.000000$41,602.000000$40,000.000000$40.0k350100.000%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 Connoquenessing
Female Male
Butler County
Connoquenessing
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Some CollegeH.S. Diploma2Total$-63,125.000000$-54,308.000000$-63,125.000000$63.1k$63,125.000000$35,625.000000$54,308.000000$37,858.000000$98,750.000000$98.8k1917$-40,000.000000$-28,882.000000$-40,000.000000$40.0k$40,000.000000$8,750.000000$28,882.000000$20,724.000000$48,750.000000$48.8k3132$-33,438.000000$-21,742.000000$-33,438.000000$33.4k$33,438.000000$625.000000$21,742.000000$17,749.000000$34,063.000000$34.1k6862$-37,000.000000$-31,634.000000$-37,000.000000$37.0k$37,000.000000$10,500.000000$31,634.000000$20,598.000000$47,500.000000$47.5k170180
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 Connoquenessing
Connoquenessing
Butler County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.792453%83.364773%86.792453%86.8%9271.153846%76.899849%71.153846%71.2%3787.735849%71.249748%87.735849%87.7%9390.909091%51.460198%90.909091%90.9%10
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 Connoquenessing
Female Male
Butler County
Connoquenessing
Shaded bar tips show excess over facing bar.
5%0%5%10%MFWhite1Other1-4.761905%-6.131303%-4.761905%4.8%4.761905%8.874459%6.131303%0.460773%13.636364%13.6%248-0.000000%-8.440367%0.000000%0.0%0.000000%0.000000%8.440367%3.613204%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Butler County and Connoquenessing
Female Male
Butler County
Connoquenessing
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1Other1-32.954545%-3.354978%-32.764092%-0.054053%-36.309524%36.3%32.954545%32.764092%32.954545%33.0%5861-100.000000%-37.946429%-5.172837%-100.000000%100.0%100.000000%0.000000%37.946429%100.000000%100.0%22
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 Connoquenessing to the 50 most populous county subdivisions in the Pittsburgh Area and to those entities that contain or substantially overlap with Connoquenessing. 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 Connoquenessing, selected other county subdivisions in the Pittsburgh Area, and entities that contain Connoquenessing
0%5%10%Count#McKeesportWashingtonUnited States of AmericaUnited StatesNorth Union TownshipN UnionNew KensingtonMiddle AtlanticNortheastButlerDerry TownshipDerryPennsylvaniaWilkinsburgConnoquenessingConnoquenessingWhitehallButler Area School DistrictButlerPittsburghHopewell TownshipHopewellGreensburgWest Deer TownshipW DeerHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghMunhallRobinson TownshipRobinsonUnity TownshipUnityPenn Hills TownshipPenn Hls911100Tract 911100North Fayette TownshipN FayetteButler CountyButlerBaldwinCecil TownshipCecilLower BurrellWest MifflinRoss TownshipButler TownshipButlerCenter TownshipCtrSouth Fayette TownshipS FayetteShaler TownshipShalerScott TownshipScottMoon TownshipRostraver TownshipRostraverMonroevillePlumNorth Strabane TownshipN StrabanePenn TownshipBethel ParkNorth Huntingdon TownshipN HuntingdonElizabeth TownshipElizabethRichland TownshipRichlandMcCandless TownshipMcCandlessCranberry TownshipCranberryMurrysvilleHampton 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%1,06879.142857%9.142857%9.1%329.142857%9.142857%9.1%328.658663%8.658663%8.7%91688.087246%8.087246%8.1%3,1858.043576%8.043576%8.0%16,40616.4k97.739130%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%2,099176.717964%6.717964%6.7%2276.577684%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%495334.364142%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%680393.194067%3.194067%3.2%646403.192710%3.192710%3.2%473413.067020%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 Connoquenessing, selected other county subdivisions in the Pittsburgh Area, and entities that contain Connoquenessing
0%20%40%60%Count#Pine TownshipFranklin ParkMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairPeters TownshipPetersAdams TownshipAdamsMcCandless TownshipMcCandlessCranberry TownshipCranberryMurrysvilleRichland TownshipRichlandHampton TownshipHamptonMoon TownshipRobinson TownshipRobinsonSouth Fayette TownshipS FayetteBethel ParkNorth Strabane TownshipN StrabaneScott TownshipScottRoss TownshipJefferson HillsJefferson HlsPittsburghCecil TownshipCecilMonroevilleNorth Fayette TownshipN FayettePlumShaler TownshipShalerConnoquenessingConnoquenessingSouth Park TownshipS PkPenn TownshipNortheastMiddle AtlanticNorth Huntingdon TownshipN HuntingdonButler CountyButlerGreensburgCenter TownshipCtrWhitehallPittsburgh Metro AreaPittsburghUnity TownshipUnityWest Deer TownshipW Deer911100Tract 911100Hempfield TownshipHempfieldWilkinsburgUnited States of AmericaUnited StatesButler TownshipButlerPennsylvaniaPenn Hills TownshipPenn HlsMunhallBaldwinRostraver TownshipRostraverHopewell TownshipHopewellLower BurrellElizabeth TownshipElizabethNew KensingtonButler Area School DistrictButlerWest 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%8,3421247.728775%47.728775%47.7%5,0541346.871142%46.871142%46.9%4,9361445.546218%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%3,4021940.731207%40.731207%40.7%83,07783.1k2039.155989%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%7,8982535.714286%35.714286%35.7%12535.714286%35.714286%35.7%12535.050607%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%2,7923331.311039%31.311039%31.3%1,05830.903052%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%2,2294423.246071%23.246071%23.2%9,15522.003117%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 Connoquenessing, selected other county subdivisions in the Pittsburgh Area, and entities that contain Connoquenessing
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 StrabaneUnited States of AmericaUnited StatesPennsylvaniaShaler TownshipShalerSouth Fayette TownshipS FayetteScott TownshipScottCecil TownshipCecilGreensburgRostraver TownshipRostraverWilkinsburgNorth Fayette TownshipN Fayette911100Tract 911100Butler CountyButlerMunhallHempfield TownshipHempfieldSouth Park TownshipS PkWhitehallRobinson TownshipRobinsonPenn Hills TownshipPenn HlsPenn TownshipElizabeth TownshipElizabethCenter TownshipCtrHopewell TownshipHopewellLower BurrellNew KensingtonJefferson HillsJefferson HlsNorth Huntingdon TownshipN HuntingdonButler TownshipButlerPlumButler Area School DistrictButlerBaldwinWest Deer TownshipW DeerWashingtonButlerWest MifflinNorth Union TownshipN UnionMcKeesportDerry TownshipDerryConnoquenessingConnoquenessing13.134114%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%361183.336158%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%295232.758792%2.758792%2.8%222242.682422%2.682422%2.7%311252.669483%2.669483%2.7%278262.663510%2.663510%2.7%902.580062%2.580062%2.6%3,3662.489323%2.489323%2.5%204272.479836%2.479836%2.5%784282.469636%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%309421.518422%1.518422%1.5%5981.483475%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%48500.285714%0.285714%0.3%10.285714%0.285714%0.3%1
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 Connoquenessing, selected other county subdivisions in the Pittsburgh Area, and entities that contain Connoquenessing
Female
Male
2x1x0x1x2xFM#ConnoquenessingConnoquenessingPetersTract 911100ShalerAdamsLower BurrellN StrabaneCtrWhitehallRostraverMunhallMt LebanonWest MifflinNew KensingtonWilkinsburgHempfieldDerryMcKeesportPine TownshipUnityN UnionUnited StatesPennsylvaniaButlerS FayetteButlerNortheastMiddle AtlanticPenn TownshipBaldwinPittsburghMoon TownshipPlumMurrysvillePenn HlsWashingtonButlerPittsburghN FayetteElizabethBethel ParkCecilMonroevilleUpper St. ClairW DeerButlerJefferson HlsMcCandlessHamptonN HuntingdonRoss TownshipGreensburgRobinsonS PkHopewellScottCranberryRichlandFranklin Park-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x1.982039x1.982039x1.98x1.545%1.55%3.063%3.06%1-1.000000x-1.000000x1.649952x1.649952x1.65x5.063%5.06%8.353%8.35%-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-1.000000x1.089494x1.089494x1.09x7.754%7.75%8.448%8.45%-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%28-1.054084x-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%45-1.422764x-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
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 Connoquenessing, selected other county subdivisions in the Pittsburgh Area, and entities that contain Connoquenessing
Female
Male
10x5x0x5xFM#DerryLower BurrellRichlandMcKeesportWhitehallHopewellN StrabaneElizabethButlerS PkWest MifflinUnityPine TownshipUpper St. ClairMt LebanonPenn TownshipHempfieldButlerTract 911100New KensingtonN HuntingdonCranberryBaldwinMurrysvilleButlerRoss TownshipWilkinsburgMcCandlessPetersFranklin ParkPittsburghPennsylvaniaW DeerHamptonScottS FayetteMonroevilleUnited StatesMiddle AtlanticNortheastGreensburgMoon TownshipPittsburghCecilButlerCtrBethel ParkShalerAdamsJefferson HlsRostraverPlumPenn HlsN UnionWashingtonMunhallN FayetteRobinsonConnoquenessingConnoquenessing-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-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%17-1.000000x-1.000000x2.169425x2.169425x2.17x0.972%0.97%2.109%2.11%-1.000000x-1.000000x2.077465x2.077465x2.08x1.727%1.73%3.588%3.59%-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-1.000000x1.293502x1.293502x1.29x0.895%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-1.000000x1.092916x1.092916x1.09x1.788%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%
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 Connoquenessing to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Connoquenessing. 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 Connoquenessing, selected other county subdivisions in Pennsylvania, and entities that contain Connoquenessing
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterConnoquenessingConnoquenessingYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimButler Area School DistrictButlerPittsburghFalls TownshipFallsHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghPenn Hills TownshipPenn Hls911100Tract 911100Butler CountyButlerLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState 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%2,350179.142857%9.142857%9.1%329.142857%9.142857%9.1%328.805520%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%2,279218.087246%8.087246%8.1%3,1858.043576%8.043576%8.0%16,40616.4k227.248333%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%2,099256.717964%6.717964%6.7%2276.487713%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%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%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 Connoquenessing, selected other county subdivisions in Pennsylvania, and entities that contain Connoquenessing
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 TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerConnoquenessingConnoquenessingSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonButler CountyButlerPittsburgh Metro AreaPittsburgh911100Tract 911100Hempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyButler Area School DistrictButlerFalls 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%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%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%7,8982535.714286%35.714286%35.7%12535.714286%35.714286%35.7%12535.550232%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%550,613551k31.311039%31.311039%31.3%1,05830.903052%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%5,4603623.246071%23.246071%23.2%9,15521.774534%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 Connoquenessing, selected other county subdivisions in Pennsylvania, and entities that contain Connoquenessing
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 PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpg911100Tract 911100Butler CountyButlerLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumButler Area School DistrictButlerNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReadingConnoquenessingConnoquenessing23.473777%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%1,188253.336158%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%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.663510%2.663510%2.7%902.580062%2.580062%2.6%3,3662.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%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%309411.518422%1.518422%1.5%5981.383231%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%227500.285714%0.285714%0.3%10.285714%0.285714%0.3%1
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 Connoquenessing, selected other county subdivisions in Pennsylvania, and entities that contain Connoquenessing
Female
Male
2x1x0x1x2xFM#ConnoquenessingConnoquenessingRadnorTract 911100ShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaButlerButlerNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePittsburghPlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.649952x1.649952x1.65x5.063%5.06%8.353%8.35%-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-1.000000x1.089494x1.089494x1.09x7.754%7.75%8.448%8.45%-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%33-1.052588x-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%45-1.483006x-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
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 Connoquenessing, selected other county subdivisions in Pennsylvania, and entities that contain Connoquenessing
Female
Male
10x5x0xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldButlerMillcreekYorkTract 911100N HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieButlerScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPittsburghPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristownConnoquenessingConnoquenessing-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-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.169425x2.169425x2.17x0.972%0.97%2.109%2.11%-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-1.000000x2.077465x2.077465x2.08x1.727%1.73%3.588%3.59%-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-1.000000x1.284280x1.284280x1.28x0.830%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-1.000000x1.097790x1.097790x1.10x1.744%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%
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 Connoquenessing to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Connoquenessing. 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 Connoquenessing, selected other county subdivisions in the Northeast, and entities that contain Connoquenessing
0%10%20%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 HempsteadHempsteadAlbanyConnoquenessingConnoquenessingWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenButler Area School DistrictButlerPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghPittsburgh Metro AreaPittsburgh911100Tract 911100Butler CountyButlerCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%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%6,145379.142857%9.142857%9.1%329.142857%9.142857%9.1%329.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.087246%8.087246%8.1%3,1858.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660467.130926%7.130926%7.1%120,640121k6.717964%6.717964%6.7%2276.487713%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%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Connoquenessing, selected other county subdivisions in the Northeast, and entities that contain Connoquenessing
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyConnoquenessingConnoquenessingNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticButler CountyButlerPittsburgh Metro AreaPittsburghTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten Island911100Tract 911100QueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterButler Area School DistrictButlerLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1635.714286%35.714286%35.7%12535.714286%35.714286%35.7%12534.780899%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%101,712102k2431.311039%31.311039%31.3%1,05830.595789%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%31,24831.2k3623.246071%23.246071%23.2%9,15522.302702%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 Connoquenessing, selected other county subdivisions in the Northeast, and entities that contain Connoquenessing
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 AreaPittsburghWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochester911100Tract 911100Butler CountyButlerTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieButler Area School DistrictButlerSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPatersonConnoquenessingConnoquenessing19.696596%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%59,36259.4k253.336158%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%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.663510%2.663510%2.7%902.580062%2.580062%2.6%3,3662.384356%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%1,039421.518422%1.518422%1.5%5981.501527%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%523500.285714%0.285714%0.3%10.285714%0.285714%0.3%1
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 Connoquenessing, selected other county subdivisions in the Northeast, and entities that contain Connoquenessing
Female
Male
1x0x1x2xFM#ConnoquenessingConnoquenessingTract 911100StamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaButlerButlerHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonPittsburghStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x1.649952x1.649952x1.65x5.063%5.06%8.353%8.35%-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-1.000000x1.089494x1.089494x1.09x7.754%7.75%8.448%8.45%-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%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Connoquenessing, selected other county subdivisions in the Northeast, and entities that contain Connoquenessing
Female
Male
10x5x0xFM#LakewoodButlerTract 911100AllentownToms RivButlerWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPittsburghPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrocktonConnoquenessingConnoquenessing-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.169425x2.169425x2.17x0.972%0.97%2.109%2.11%-1.000000x-1.000000x2.077465x2.077465x2.08x1.727%1.73%3.588%3.59%-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-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%
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 Connoquenessing to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Connoquenessing. 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 Connoquenessing, selected other county subdivisions in the United States, and entities that contain Connoquenessing
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 HarrisWashingtonAtlantaConnoquenessingConnoquenessingSeattleNortheast TarrantNE TarrantButler Area School DistrictButlerPittsburgh Metro AreaPittsburgh911100Tract 911100Butler CountyButlerPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%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%37,37337.4k469.142857%9.142857%9.1%329.142857%9.142857%9.1%328.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k488.087246%8.087246%8.1%3,1857.130926%7.130926%7.1%120,640121k6.717964%6.717964%6.7%2276.487713%6.487713%6.5%8,4645.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Connoquenessing, selected other county subdivisions in the United States, and entities that contain Connoquenessing
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoConnoquenessingConnoquenessingNortheastColumbusLos AngelesBrooklynMiddle AtlanticButler CountyButlerSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerquePittsburgh Metro AreaPittsburghTampaTucson911100Tract 911100Oceanside-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 DallasMilwaukeeButler Area School DistrictButlerFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1735.714286%35.714286%35.7%12535.714286%35.714286%35.7%12534.780899%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%184,237184k2631.311039%31.311039%31.3%1,05831.198303%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%85,81285.8k4323.246071%23.246071%23.2%9,15522.486319%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 Connoquenessing, selected other county subdivisions in the United States, and entities that contain Connoquenessing
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…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW Harris911100Tract 911100Northeast TarrantNE TarrantButler CountyButlerEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxButler Area School DistrictButlerDetroitConnoquenessingConnoquenessing12.461852%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%25,05825.1k293.357865%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%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.663510%2.663510%2.7%902.630994%2.630994%2.6%9,827392.580062%2.580062%2.6%3,3662.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.518422%1.518422%1.5%5981.318660%1.318660%1.3%5,693500.285714%0.285714%0.3%10.285714%0.285714%0.3%1
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 Connoquenessing, selected other county subdivisions in the United States, and entities that contain Connoquenessing
Female
Male
1x0x1x2xFM#ConnoquenessingConnoquenessingTract 9111001, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaButlerOntarioButlerSan 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 VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x2.833333x2.833333x2.83x4.706%4.71%13.333%13.3%-1.000000x-1.000000x1.649952x1.649952x1.65x5.063%5.06%8.353%8.35%-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-1.000000x1.089494x1.089494x1.09x7.754%7.75%8.448%8.45%-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%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Connoquenessing, selected other county subdivisions in the United States, and entities that contain Connoquenessing
Female
Male
10x5x0xFM#ButlerEl PasoTract 911100Salt 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…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitConnoquenessingConnoquenessing-1.000000x-1.000000x2.169425x2.169425x2.17x0.972%0.97%2.109%2.11%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.077465x2.077465x2.08x1.727%1.73%3.588%3.59%-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-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%
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:
Connoquenessing
ZIP Codes:
16027, 16033
Unified School District:
Butler
Congressional District:
PA-3
State Senate District:
PA-21
State House District:
PA-11
Neighboring Townships:
Connoquenessing, Forward
Nearby Townships:
Adams, Butler, Jackson, Lancaster, Penn