Educational Attainment in the West Whiteland Township, Chester County, Pennsylvania (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Chester County and the West Whiteland Township
West Whiteland Township
Chester County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma264.669692%56.377632%64.669692%64.7%8,40930.639083%36.576941%30.639083%30.6%3,9844.691225%7.045428%4.691225%4.7%610
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 Chester County at large.
Scope: population of Chester County and the West Whiteland Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma214.708067%14.708067%+14.7%64.670%64.7%56.378%56.4%-16.233882%-16.233882%-16.2%30.639%30.6%36.577%36.6%-33.414614%-33.414614%-33.4%4.691%4.69%7.045%7.05%
% percentage with given level in the West Whiteland Township
ref. percentage with given level in Chester 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 Chester County and the West Whiteland Township
West Whiteland Township
Chester County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.976467%2.695836%1.976467%2.0%2573.137737%3.067365%3.137737%3.1%40816.534646%14.331581%16.534646%16.5%2,15035.314927%30.137968%35.314927%35.3%4,5927.705914%6.144882%7.705914%7.7%1,00213.581481%14.098106%13.581481%13.6%1,76617.057602%22.478835%17.057602%17.1%2,2182.707068%3.960370%2.707068%2.7%3521.407368%2.472512%1.407368%1.4%1830.576790%0.612545%0.576790%0.6%75
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 Chester County at large.
Scope: population of Chester County and the West Whiteland Township
-40%-20%-0%+20%+40%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-26.684452%-26.684452%-26.7%1.976%1.98%2.696%2.70%2.294216%2.294216%+2.3%3.138%3.14%3.067%3.07%15.372103%15.372103%+15.4%16.535%16.5%14.332%14.3%17.177534%17.177534%+17.2%35.315%35.3%30.138%30.1%25.403776%25.403776%+25.4%7.706%7.71%6.145%6.14%-3.664497%-3.664497%-3.7%13.581%13.6%14.098%14.1%-24.117055%-24.117055%-24.1%17.058%17.1%22.479%22.5%-31.646097%-31.646097%-31.6%2.707%2.71%3.960%3.96%-43.079454%-43.079454%-43.1%1.407%1.41%2.473%2.47%-5.837125%-5.837125%-5.8%0.577%0.58%0.613%0.61%
% percentage with given level in the West Whiteland Township
ref. percentage with given level in Chester 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 Chester County and the West Whiteland Township
More Females More Males
Chester County
West Whiteland Township
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.048498%2.130106%2.130106%2%64.008%64.0%65.372%65.4%-7.342842%-2.755509%-7.342842%7%31.691%31.7%29.523%29.5%18.701443%25.184782%18.701443%19%4.301%4.30%5.105%5.11%
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 Chester County and the West Whiteland Township
More Females More Males
Chester County
West Whiteland Township
0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-12.706655%-12.706655%13%56.332607%2.091%2.09%1.855%1.86%44.216308%69.985390%44.216308%44%2.584%2.58%3.726%3.73%-4.348367%-12.615757%-4.348367%4%16.876%16.9%16.173%16.2%-0.859712%12.158407%12.158407%12%33.348%33.3%37.403%37.4%-46.572047%-26.442253%-46.572047%47%9.110%9.11%6.215%6.22%-11.421962%-0.249350%-11.421962%11%14.292%14.3%12.827%12.8%-4.208931%-4.360621%-4.208931%4%17.398%17.4%16.696%16.7%34.935786%21.478155%34.935786%35%2.315%2.31%3.124%3.12%-38.740151%-38.740151%39%33.585258%1.628%1.63%1.173%1.17%125.606469%17.107643%125.606469%126%0.358%0.36%0.809%0.81%
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 Chester County and the West Whiteland Township
West Whiteland Township
Chester County
0%10%20%30%40%B.X.Total65+45-6435-4425-3418.706294%21.167688%18.706294%18.7%4282,28834.793565%29.762999%34.793565%34.8%1,7955,15941.900648%35.782156%41.900648%41.9%1,1642,77843.376530%36.381521%43.376530%43.4%1,2052,778
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 Chester County at large.
Scope: population of Chester County and the West Whiteland Township
10%5%0%5%10%15%%ref.65+45-6435-4425-34-11.628071%-11.628071%11.6%18.706%18.7%21.168%21.2%16.902078%16.902078%16.9%34.794%34.8%29.763%29.8%17.099281%17.099281%17.1%41.901%41.9%35.782%35.8%19.226818%19.226818%19.2%43.377%43.4%36.382%36.4%
% percentage in the West Whiteland Township with a Bachelor's degree
ref percentage in Chester 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 Chester County and the West Whiteland Township
More Females More Males
Chester County
West Whiteland Township
10%0%10%20%30%40%FM65+45-6435-4425-3416.704545%43.111008%16.704545%16.7%17.405%17.4%20.313%20.3%-9.311808%2.838634%2.838634%2.8%34.322%34.3%35.296%35.3%-7.343037%38.451528%38.451528%38.5%34.813%34.8%48.199%48.2%-3.331212%-12.945538%-3.331212%3.3%44.049%44.0%42.629%42.6%
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 Chester County and the West Whiteland Township
West Whiteland Township
Chester County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$82,594.000000$89,857.000000$82,594.000000$82.6k2,81521.649%21.6%$60,972.000000$64,457.000000$60,972.000000$61.0k4,59235.315%35.3%$39,919.000000$41,534.000000$39,919.000000$39.9k2,76821.287%21.3%$36,131.000000$33,527.000000$36,131.000000$36.1k2,21817.058%17.1%$23,542.000000$24,237.000000$23,542.000000$23.5k6104.691%4.69%$54,866.000000$51,638.000000$54,866.000000$54.9k13,00313.0k100.000%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 Chester County and the West Whiteland Township
Female Male
Chester County
West Whiteland Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-64,300.000000$-67,757.000000$-64,300.000000$64.3k$64,300.000000$56,391.000000$67,757.000000$43,559.000000$120,691.000000$120.7k1,4431,372$-45,037.000000$-49,128.000000$-45,037.000000$45.0k$45,037.000000$38,958.000000$49,128.000000$34,894.000000$83,995.000000$84.0k2,2332,359$-31,979.000000$-33,103.000000$-31,979.000000$32.0k$31,979.000000$18,513.000000$33,103.000000$17,936.000000$50,492.000000$50.5k1,5671,201$-35,372.000000$-26,851.000000$-35,372.000000$35.4k$35,372.000000$4,792.000000$26,851.000000$13,893.000000$40,164.000000$40.2k1,1651,053$-41,673.000000$-41,181.000000$-41,673.000000$41.7k$41,673.000000$26,571.000000$41,181.000000$21,470.000000$68,244.000000$68.2k6,6966,307
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Chester County and the West Whiteland Township
West Whiteland Township
Chester County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%51.569507%0100.000000%38.565022%100.000000%100.0%410.000000%0.000000%0.0%9.865471%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Chester County and the West Whiteland Township
West Whiteland Township
Chester County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.814754%84.525465%85.814754%85.8%5,73579.323134%78.435341%79.323134%79.3%1,71167.433988%73.989834%67.433988%67.4%99665.577889%65.386952%65.577889%65.6%261
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Chester County and the West Whiteland Township
Female Male
Chester County
West Whiteland Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-3.641913%-0.195807%-4.277883%-3.837719%3.8%3.641913%4.277883%0.662197%3.641913%3.6%179210-0.000000%-9.148889%0.000000%0.0%0.000000%0.000000%9.148889%0.407500%0.000000%0.0%00-4.166667%-1.645751%-4.141226%-2.026769%-5.812417%5.8%4.166667%4.141226%4.166667%4.2%3344-0.000000%-38.844245%0.000000%0.0%0.000000%36.749117%38.844245%10.934320%36.749117%36.7%1040-5.405405%-37.094595%-19.076242%-42.500000%42.5%5.405405%19.076242%8.395395%5.405405%5.4%634
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Chester County and the West Whiteland Township
Female Male
Chester County
West Whiteland Township
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-53.801170%-51.224293%-53.801170%53.8%53.801170%3.757325%51.224293%1.887156%57.558494%57.6%2,8292,944-27.272727%-18.080433%-24.199956%-8.458940%-45.353160%45.4%27.272727%24.199956%27.272727%27.3%66122-73.844122%-75.695892%-73.844122%73.8%73.844122%14.160929%75.695892%8.774509%88.005051%88.0%697559-27.966102%-14.791851%-3.099900%-27.966102%28.0%27.966102%2.422591%14.791851%30.388693%30.4%8633-22.500000%-27.552674%-7.467889%-22.500000%22.5%22.500000%35.157658%27.552674%57.657658%57.7%6418
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the West Whiteland Township

Coarse: Post-Secondary Degree Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
59.0%61.1%63.2%65.2%67.3%69.4%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
26.6%28.7%30.6%32.6%34.6%36.6%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
3.93%4.38%4.83%5.27%5.72%6.17%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.45%1.71%1.96%2.22%2.47%2.73%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%1.6%2.5%3.5%4.4%5.4%

Detailed: Master's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
13.6%14.6%15.6%16.5%17.5%18.5%

Detailed: Bachelor's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
35.16%35.25%35.34%35.42%35.51%35.60%

Detailed: Associate's Degree Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
7.35%7.51%7.67%7.82%7.97%8.13%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
10.3%11.7%13.1%14.4%15.8%17.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
15.2%16.1%16.9%17.7%18.6%19.4%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
1.96%2.25%2.53%2.81%3.09%3.38%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.30%0.77%1.24%1.72%2.19%2.66%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.486%0.532%0.578%0.624%0.670%0.716%
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Educational Attainment by County Subdivision in the Philadelphia Area

There are 375 county subdivisions in the Philadelphia Area. This section compares the West Whiteland Township to the 50 most populous county subdivisions in the Philadelphia Area and to those entities that contain or substantially overlap with the West Whiteland Township. The least populous of the compared county subdivisions has a population of 24,218.

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the West Whiteland Township, selected other county subdivisions in the Philadelphia Area, and entities that contain the West Whiteland Township
0%10%20%30%Count#CamdenChesterNorristownPhiladelphiaLower ChristianaWilmingtonDistrict 3:Elkton3, ElktonPennsauken TownshipPennsaukenUnited States of AmericaUnited StatesNew CastleDistrict 5:North East5, N EPemberton TownshipPembertonMiddle AtlanticBristol TownshipBristolNortheastUpper Darby TownshipUpper DarbyPennsylvaniaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaWillingboro TownshipWillingboroMonroe TownshipMonroeWarminster TownshipWarminsterMiddletown-OdessaDeptford TownshipDeptfordBensalem TownshipBensalemUpper ChristianaWinslow TownshipWinslowRidley TownshipRidleyGloucester TownshipGloucesterPike Creek-Central KirkwoodPike Crk-Cntrl Kirk…Voorhees TownshipVoorheesFalls TownshipFallsChester CountyChesterNewarkWashington TownshipWashingtonCherry Hill TownshipCherry HlHorsham TownshipHorshamUpper Moreland TownshipUpper MorelandBrandywineLower Providence TownshipLower ProvidenceMiddletown TownshipMiddletownGlasgowAbington TownshipAbingtonMount Laurel TownshipMt LaurelWest Whiteland TownshipW WhitelandUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamEvesham TownshipEveshamSpringfield TownshipSpringfieldWest Chester Area School DistrictWest ChesterPiedmontMontgomery TownshipMontgomeryHaverford TownshipHaverfordNorthampton TownshipNorthamptonUpper Dublin TownshipUpper DublinLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldTredyffrin TownshipTredyffrin31.151484%31.151484%31.2%13,34013.3k120.735207%20.735207%20.7%4,191219.454765%19.454765%19.5%4,346317.390838%17.390838%17.4%180,039180k416.475517%16.475517%16.5%4,051516.395625%16.395625%16.4%7,884614.797525%14.797525%14.8%2,631714.780298%14.780298%14.8%3,727813.020590%13.020590%13.0%27,818,38027.8M12.964279%12.964279%13.0%7,843912.837599%12.837599%12.8%2,1771012.490367%12.490367%12.5%2,2691112.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031211.614335%11.614335%11.6%4,487,0854.49M10.463617%10.463617%10.5%5,7621310.459911%10.459911%10.5%925,686926k10.325347%10.325347%10.3%424,982425k9.976798%9.976798%10.0%2,107149.958936%9.958936%10.0%2,498159.749015%9.749015%9.7%2,350168.992437%8.992437%9.0%3,329178.528941%8.528941%8.5%1,864188.506291%8.506291%8.5%3,664198.417490%8.417490%8.4%1,567208.324892%8.324892%8.3%2,219218.175269%8.175269%8.2%1,793228.095887%8.095887%8.1%3,563237.782024%7.782024%7.8%2,342247.658571%7.658571%7.7%1,624257.248333%7.248333%7.2%1,718267.045428%7.045428%7.0%24,29224.3k6.866942%6.866942%6.9%2,823276.608430%6.608430%6.6%2,209285.926298%5.926298%5.9%2,951295.821670%5.821670%5.8%1,044305.531441%5.531441%5.5%943315.412555%5.412555%5.4%3,110325.256606%5.256606%5.3%929335.180883%5.180883%5.2%1,677345.140289%5.140289%5.1%1,418355.076142%5.076142%5.1%2,000364.965354%4.965354%5.0%1,469374.691225%4.691225%4.7%6104.625530%4.625530%4.6%982384.539848%4.539848%4.5%1,141394.445057%4.445057%4.4%1,451404.233053%4.233053%4.2%720414.099302%4.099302%4.1%2,9643.801528%3.801528%3.8%806423.654154%3.654154%3.7%661433.231313%3.231313%3.2%1,060443.210741%3.210741%3.2%880453.154781%3.154781%3.2%576462.533015%2.533015%2.5%1,007472.517303%2.517303%2.5%411481.954874%1.954874%2.0%454491.838552%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#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the West Whiteland Township, selected other county subdivisions in the Philadelphia Area, and entities that contain the West Whiteland Township
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorLower Makefield TownshipLower MakefieldPiedmontUpper Dublin TownshipUpper DublinWest Chester Area School DistrictWest ChesterWest Whiteland TownshipW WhitelandMontgomery TownshipMontgomeryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCherry Hill TownshipCherry HlCheltenham TownshipCheltenhamChester CountyChesterNorthampton TownshipNorthamptonMount Laurel TownshipMt LaurelLower Providence TownshipLower ProvidenceVoorhees TownshipVoorheesHorsham TownshipHorshamAbington TownshipAbingtonBrandywineEvesham TownshipEveshamNewarkSpringfield TownshipSpringfieldPike Creek-Central KirkwoodPike Crk-Cntrl Kirk…GlasgowMiddletown TownshipMiddletownUpper Moreland TownshipUpper MorelandPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaUpper ChristianaNortheastWashington TownshipWashingtonMiddle AtlanticMiddletown-OdessaUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterBensalem TownshipBensalemGloucester TownshipGloucesterWilmingtonPhiladelphiaWinslow TownshipWinslowRidley TownshipRidleyMonroe TownshipMonroeWillingboro TownshipWillingboroDistrict 5:North East5, N EFalls TownshipFallsNorristownNew CastleDeptford TownshipDeptfordDistrict 3:Elkton3, ElktonPennsauken TownshipPennsaukenLower ChristianaBristol TownshipBristolPemberton TownshipPembertonChesterCamden76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k368.941612%68.941612%68.9%16,01116.0k466.026790%66.026790%66.0%13,99914.0k563.347574%63.347574%63.3%11,56611.6k657.860452%57.860452%57.9%41,83641.8k56.963778%56.963778%57.0%7,40756.874344%56.874344%56.9%10,28810.3k756.820537%56.820537%56.8%12,06312.1k855.840751%55.840751%55.8%18,31818.3k954.611909%54.611909%54.6%27,19427.2k1052.059046%52.059046%52.1%13,08413.1k1150.232750%50.232750%50.2%173,198173k49.916083%49.916083%49.9%13,68113.7k1249.579179%49.579179%49.6%14,66814.7k1348.531658%48.531658%48.5%8,5771448.233907%48.233907%48.2%10,22810.2k1547.292701%47.292701%47.3%8,4811646.736041%46.736041%46.7%18,41418.4k1746.488801%46.488801%46.5%26,71226.7k1845.881200%45.881200%45.9%14,97715.0k1943.896862%43.896862%43.9%18,04618.0k2043.112470%43.112470%43.1%7,3332139.627845%39.627845%39.6%11,92611.9k2239.494671%39.494671%39.5%10,89510.9k2337.980784%37.980784%38.0%12,29412.3k2436.051150%36.051150%36.1%6,1462535.513094%35.513094%35.5%1,461,6871.46M35.012892%35.012892%35.0%6,5182634.780899%34.780899%34.8%13,437,26113.4M34.235797%34.235797%34.2%11,44411.4k2733.644618%33.644618%33.6%9,577,4379.58M31.415451%31.415451%31.4%11,63011.6k2830.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k2929.333279%29.333279%29.3%2,595,9502.60M28.131093%28.131093%28.1%6,7813028.042439%28.042439%28.0%12,07912.1k3127.709611%27.709611%27.7%12,19512.2k3227.016179%27.016179%27.0%12,99113.0k3326.349720%26.349720%26.3%272,786273k3425.893829%25.893829%25.9%6,9023524.895130%24.895130%24.9%5,4603624.458797%24.458797%24.5%6,1353723.533311%23.533311%23.5%4,9703823.222078%23.222078%23.2%3,9383921.774534%21.774534%21.8%5,1614021.227450%21.227450%21.2%4,7424120.882027%20.882027%20.9%12,63312.6k4220.809883%20.809883%20.8%4,5484320.494938%20.494938%20.5%3,6444420.130076%20.130076%20.1%5,0764519.391573%19.391573%19.4%4,7684614.443730%14.443730%14.4%5,3934713.574810%13.574810%13.6%2,4664810.315654%10.315654%10.3%2,085498.194195%8.194195%8.2%3,50950
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#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the West Whiteland Township, selected other county subdivisions in the Philadelphia Area, and entities that contain the West Whiteland Township
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorPiedmontTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldUpper Dublin TownshipUpper DublinCheltenham TownshipCheltenhamCherry Hill TownshipCherry HlHaverford TownshipHaverfordUpper Merion TownshipUpper MerionMontgomery TownshipMontgomeryVoorhees TownshipVoorheesNorthampton TownshipNorthamptonBrandywineWest Chester Area School DistrictWest ChesterAbington TownshipAbingtonHorsham TownshipHorshamNewarkChester CountyChesterWest Whiteland TownshipW WhitelandMount Laurel TownshipMt LaurelLower Providence TownshipLower ProvidencePike Creek-Central KirkwoodPike Crk-Cntrl Kirk…Philadelphia, Camden, and Wilmington Metro AreaPhiladelphiaEvesham TownshipEveshamWilmingtonSpringfield TownshipSpringfieldNortheastMiddle AtlanticPhiladelphiaGlasgowUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaUpper Darby TownshipUpper DarbyWashington TownshipWashingtonUpper ChristianaDistrict 5:North East5, N EMiddletown-OdessaUpper Moreland TownshipUpper MorelandWarminster TownshipWarminsterBensalem TownshipBensalemDeptford TownshipDeptfordGloucester TownshipGloucesterLower ChristianaWinslow TownshipWinslowMonroe TownshipMonroeNorristownWillingboro TownshipWillingboroDistrict 3:Elkton3, ElktonNew CastlePennsauken TownshipPennsaukenFalls TownshipFallsRidley TownshipRidleyBristol TownshipBristolCamdenChesterPemberton TownshipPemberton23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721213.819451%13.819451%13.8%2,930312.252226%12.252226%12.3%2,559411.031691%11.031691%11.0%2,562510.910286%10.910286%10.9%1,992610.078383%10.078383%10.1%2,53379.302139%9.302139%9.3%4,63288.331301%8.331301%8.3%2,73397.362223%7.362223%7.4%1,563107.253027%7.253027%7.3%1,312116.691818%6.691818%6.7%1,419126.443374%6.443374%6.4%1,766136.408047%6.408047%6.4%3,682146.272042%6.272042%6.3%4,5355.997462%5.997462%6.0%2,363155.961077%5.961077%6.0%1,069165.874483%5.874483%5.9%2,415175.763201%5.763201%5.8%19,87119.9k5.114204%5.114204%5.1%6655.110698%5.110698%5.1%1,512184.719063%4.719063%4.7%834194.459212%4.459212%4.5%1,342204.292246%4.292246%4.3%176,665177k4.193855%4.193855%4.2%1,369214.121782%4.121782%4.1%1,982224.097831%4.097831%4.1%697234.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k243.367650%3.367650%3.4%929253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k2.458823%2.458823%2.5%1,354272.456098%2.456098%2.5%821282.347443%2.347443%2.3%437292.323387%2.323387%2.3%394302.144787%2.144787%2.1%794312.105819%2.105819%2.1%359321.999585%1.999585%2.0%482331.827088%1.827088%1.8%787341.825669%1.825669%1.8%399351.790502%1.790502%1.8%788361.716284%1.716284%1.7%422371.695742%1.695742%1.7%452381.518957%1.518957%1.5%381391.383231%1.383231%1.4%309401.340026%1.340026%1.3%283411.287964%1.287964%1.3%229421.228160%1.228160%1.2%743431.225412%1.225412%1.2%309441.147582%1.147582%1.1%272451.025898%1.025898%1.0%225460.838288%0.838288%0.8%313470.684212%0.684212%0.7%293480.549179%0.549179%0.5%111490.456898%0.456898%0.5%8350
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#32

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in the Philadelphia Area, and entities that contain the West Whiteland Township
Female
Male
1x0x1x2xFM#RadnorMiddletown-OdessaUpper MorelandUpper ChristianaWinslow3, ElktonMt LaurelLower ChristianaCheltenhamWillingboroPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…SpringfieldGlasgowWilmingtonChesterFallsBristolChesterNew CastleW WhitelandHorshamUpper DarbyHaverfordNorristownDeptfordBrandywinePennsaukenMonroeUnited StatesRidleyPhiladelphiaPennsylvaniaPhiladelphiaEveshamNortheastGloucesterMiddle AtlanticLower ProvidenceCamdenWest ChesterWashingtonNewarkLower MerionLower MakefieldAbingtonMiddletownUpper DublinPembertonUpper Merion5, N EBensalemPiedmontCherry HlWarminsterNorthamptonMontgomeryVoorheesTredyffrin-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.817331x1.817331x1.82x6.334%6.33%11.512%11.5%2-1.000000x-1.000000x1.598111x1.598111x1.60x4.313%4.31%6.893%6.89%3-1.000000x-1.000000x1.547242x1.547242x1.55x6.656%6.66%10.299%10.3%4-1.000000x-1.000000x1.429863x1.429863x1.43x6.871%6.87%9.825%9.82%5-1.000000x-1.000000x1.386102x1.386102x1.39x12.513%12.5%17.345%17.3%6-1.000000x-1.000000x1.365341x1.365341x1.37x4.257%4.26%5.812%5.81%7-1.000000x-1.000000x1.349320x1.349320x1.35x14.161%14.2%19.108%19.1%8-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%9-1.000000x-1.000000x1.299253x1.299253x1.30x8.834%8.83%11.477%11.5%10-1.000000x-1.000000x1.294936x1.294936x1.29x6.825%6.82%8.838%8.84%11-1.000000x-1.000000x1.285960x1.285960x1.29x3.711%3.71%4.773%4.77%12-1.000000x-1.000000x1.256777x1.256777x1.26x4.579%4.58%5.755%5.75%13-1.000000x-1.000000x1.256084x1.256084x1.26x14.680%14.7%18.439%18.4%14-1.000000x-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%15-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%16-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%17-1.000000x-1.000000x1.196838x1.196838x1.20x11.897%11.9%14.239%14.2%18-1.000000x-1.000000x1.187014x1.187014x1.19x4.301%4.30%5.105%5.11%-1.000000x-1.000000x1.182447x1.182447x1.18x5.356%5.36%6.333%6.33%19-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%20-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%21-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%22-1.000000x-1.000000x1.136431x1.136431x1.14x8.018%8.02%9.111%9.11%23-1.000000x-1.000000x1.132969x1.132969x1.13x5.098%5.10%5.776%5.78%24-1.000000x-1.000000x1.122705x1.122705x1.12x13.966%14.0%15.680%15.7%25-1.000000x-1.000000x1.112622x1.112622x1.11x9.453%9.45%10.517%10.5%26-1.000000x-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%27-1.000000x-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-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%28-1.000000x-1.000000x1.076000x1.076000x1.08x4.289%4.29%4.615%4.62%29-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.069646x1.069646x1.07x7.833%7.83%8.378%8.38%30-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.050702x1.050702x1.05x5.125%5.13%5.385%5.39%31-1.000000x-1.000000x1.047386x1.047386x1.05x30.494%30.5%31.938%31.9%32-1.000000x-1.000000x1.033859x1.033859x1.03x4.033%4.03%4.170%4.17%-1.000000x-1.000000x1.027366x1.027366x1.03x6.525%6.52%6.703%6.70%33-1.000000x-1.000000x1.020742x1.020742x1.02x6.798%6.80%6.939%6.94%34-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%35-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%36-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%37-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%38-1.054938x-1.054938x1.05x1.000000x1.000000x3.233%3.23%3.064%3.06%39-1.058054x-1.058054x1.06x1.000000x1.000000x12.842%12.8%12.138%12.1%40-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%41-1.064021x-1.064021x1.06x1.000000x1.000000x13.216%13.2%12.421%12.4%42-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%43-1.104804x-1.104804x1.10x1.000000x1.000000x3.987%3.99%3.609%3.61%44-1.137931x-1.137931x1.14x1.000000x1.000000x6.287%6.29%5.525%5.52%45-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%46-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%47-1.533852x-1.533852x1.53x1.000000x1.000000x4.360%4.36%2.842%2.84%48-1.815094x-1.815094x1.82x1.000000x1.000000x9.692%9.69%5.340%5.34%49-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%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#33

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in the Philadelphia Area, and entities that contain the West Whiteland Township
Female
Male
0x2x4xFM#FallsVoorheesChesterUpper DublinWashington5, N ELower MerionSpringfieldCherry HlNorthamptonCheltenhamPiedmontBrandywineWest ChesterUpper MerionWinslowAbingtonRadnorNewarkTredyffrinChesterPennsylvaniaHaverfordPhiladelphiaLower ProvidenceUpper DarbyMiddletownUnited StatesMonroeLower MakefieldMiddle AtlanticMt LaurelNortheastHorshamGloucesterRidley3, ElktonPennsaukenEveshamPembertonCamdenPhiladelphiaPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…W WhitelandDeptfordGlasgowMiddletown-OdessaBensalemWarminsterMontgomeryWilmingtonUpper ChristianaLower ChristianaUpper MorelandBristolNew CastleWillingboroNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x3.209690x3.209690x3.21x3.293%3.29%10.568%10.6%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.711017x2.711017x2.71x6.088%6.09%16.505%16.5%4-1.000000x-1.000000x2.322832x2.322832x2.32x1.516%1.52%3.521%3.52%5-1.000000x-1.000000x2.040695x2.040695x2.04x1.554%1.55%3.170%3.17%6-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%7-1.000000x-1.000000x2.008025x2.008025x2.01x2.740%2.74%5.502%5.50%8-1.000000x-1.000000x1.980491x1.980491x1.98x6.355%6.36%12.587%12.6%9-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%10-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%11-1.000000x-1.000000x1.958882x1.958882x1.96x9.394%9.39%18.401%18.4%12-1.000000x-1.000000x1.955808x1.955808x1.96x4.438%4.44%8.680%8.68%13-1.000000x-1.000000x1.952506x1.952506x1.95x4.298%4.30%8.392%8.39%-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%14-1.000000x-1.000000x1.846747x1.846747x1.85x1.197%1.20%2.210%2.21%15-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%16-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%17-1.000000x-1.000000x1.692120x1.692120x1.69x4.393%4.39%7.433%7.43%18-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%19-1.000000x-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-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%20-1.000000x-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-1.000000x-1.000000x1.532664x1.532664x1.53x3.718%3.72%5.699%5.70%21-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%22-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%23-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.508229x1.508229x1.51x1.223%1.22%1.845%1.85%24-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%25-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.487263x1.487263x1.49x4.183%4.18%6.221%6.22%26-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.483574x1.483574x1.48x4.845%4.85%7.188%7.19%27-1.000000x-1.000000x1.479311x1.479311x1.48x1.454%1.45%2.151%2.15%28-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%29-1.000000x-1.000000x1.464346x1.464346x1.46x1.056%1.06%1.547%1.55%30-1.000000x-1.000000x1.462743x1.462743x1.46x1.005%1.00%1.469%1.47%31-1.000000x-1.000000x1.446372x1.446372x1.45x3.457%3.46%5.001%5.00%32-1.000000x-1.000000x1.444990x1.444990x1.44x0.374%0.37%0.540%0.54%33-1.000000x-1.000000x1.361927x1.361927x1.36x0.587%0.59%0.800%0.80%34-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%35-1.000000x-1.000000x1.245985x1.245985x1.25x3.992%3.99%4.974%4.97%36-1.000000x-1.000000x1.193963x1.193963x1.19x4.674%4.67%5.581%5.58%-1.000000x-1.000000x1.191436x1.191436x1.19x1.676%1.68%1.996%2.00%37-1.000000x-1.000000x1.190195x1.190195x1.19x3.087%3.09%3.674%3.67%38-1.000000x-1.000000x1.160074x1.160074x1.16x1.982%1.98%2.299%2.30%39-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%40-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%41-1.000000x-1.000000x1.056902x1.056902x1.06x7.066%7.07%7.468%7.47%42-1.000000x-1.000000x1.046417x1.046417x1.05x4.036%4.04%4.224%4.22%43-1.000000x-1.000000x1.034532x1.034532x1.03x2.309%2.31%2.389%2.39%44-1.033167x-1.033167x1.03x1.000000x1.000000x1.742%1.74%1.687%1.69%45-1.138658x-1.138658x1.14x1.000000x1.000000x2.234%2.23%1.962%1.96%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.242944x-1.242944x1.24x1.000000x1.000000x1.348%1.35%1.085%1.08%48-1.331088x-1.331088x1.33x1.000000x1.000000x1.502%1.50%1.128%1.13%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

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

No H.S. Diploma by County Subdivision#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the West Whiteland Township, selected other county subdivisions in Pennsylvania, and entities that contain the West Whiteland Township
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldChester CountyChesterPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumWest Whiteland TownshipW WhitelandUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkWest Chester Area School DistrictWest ChesterNorth 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%925,686926k10.325347%10.325347%10.3%424,982425k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260247.045428%7.045428%7.0%24,29224.3k6.765076%6.765076%6.8%2,099256.244529%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%968364.691225%4.691225%4.7%6104.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.099302%4.099302%4.1%2,9644.016913%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#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the West Whiteland Township, selected other county subdivisions in Pennsylvania, and entities that contain the West Whiteland Township
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonWest Chester Area School DistrictWest ChesterMcCandless TownshipMcCandlessCranberry TownshipCranberryWest Whiteland TownshipW WhitelandUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamChester CountyChesterHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.860452%57.860452%57.9%41,83641.8k57.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.963778%56.963778%57.0%7,40756.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.232750%50.232750%50.2%173,198173k50.077257%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%7,8982535.550232%35.550232%35.6%6,8262635.513094%35.513094%35.5%1,461,6871.46M34.780899%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%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#36

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the West Whiteland Township, selected other county subdivisions in Pennsylvania, and entities that contain the West Whiteland Township
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 TownshipNorthamptonWest Chester Area School DistrictWest ChesterLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonChester CountyChesterHampden TownshipHampdenWest Whiteland TownshipW WhitelandMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevillePhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.272042%6.272042%6.3%4,5356.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.763201%5.763201%5.8%19,87119.9k5.577016%5.577016%5.6%1,155165.114204%5.114204%5.1%6654.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.292246%4.292246%4.3%176,665177k4.221834%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%38,51538.5k243.466589%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%520292.514559%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%309411.383231%1.383231%1.4%309421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in Pennsylvania, and entities that contain the West Whiteland Township
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonCheltenhamChesterFallsHempfieldBristolChesterWilliamsportW WhitelandUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePhiladelphiaPennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingWest ChesterEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-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-1.000000x1.187014x1.187014x1.19x4.301%4.30%5.105%5.11%-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-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-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-1.000000x1.074442x1.074442x1.07x11.216%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-1.000000x1.033859x1.033859x1.03x4.033%4.03%4.170%4.17%-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-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#38

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in Pennsylvania, and entities that contain the West Whiteland Township
Female
Male
1x0x1x2x3x4xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipWest ChesterHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingChesterPennsylvaniaHaverfordPhiladelphiaManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieW WhitelandBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-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-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.952506x1.952506x1.95x4.298%4.30%8.392%8.39%-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-1.000000x1.825579x1.825579x1.83x1.392%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-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-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-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-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-1.000000x1.193963x1.193963x1.19x4.674%4.67%5.581%5.58%-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

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

No H.S. Diploma by County Subdivision#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the West Whiteland Township, selected other county subdivisions in the Northeast, and entities that contain the West Whiteland Township
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghChester CountyChesterCambridgeTown of Oyster BayOyster BayWest Whiteland TownshipW WhitelandTown of AmherstAmherstTown of SmithtownSmithtownWest Chester Area School DistrictWest Chester28.837398%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%54,23054.2k3610.325347%10.325347%10.3%424,982425k10.256196%10.256196%10.3%6,145379.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660467.045428%7.045428%7.0%24,29224.3k5.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.691225%4.691225%4.7%6104.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,744504.099302%4.099302%4.1%2,964
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#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the West Whiteland Township, selected other county subdivisions in the Northeast, and entities that contain the West Whiteland Township
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanWest Chester Area School DistrictWest ChesterWest Whiteland TownshipW WhitelandEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonChester CountyChesterTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k357.860452%57.860452%57.9%41,83641.8k56.963778%56.963778%57.0%7,40754.244922%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%71,41271.4k750.232750%50.232750%50.2%173,198173k48.123874%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%22,33522.3k1635.513094%35.513094%35.5%1,461,6871.46M34.780899%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%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#41

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the West Whiteland Township, selected other county subdivisions in the Northeast, and entities that contain the West Whiteland Township
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonWest Chester Area School DistrictWest ChesterTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceChester CountyChesterTown of SmithtownSmithtownAlbanyEdison TownshipEdisonWest Whiteland TownshipW WhitelandTown of HempsteadHempsteadJersey CityPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaSyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.272042%6.272042%6.3%4,5356.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.763201%5.763201%5.8%19,87119.9k5.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788155.114204%5.114204%5.1%6654.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.292246%4.292246%4.3%176,665177k4.250337%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%2,583223.571519%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%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in the Northeast, and entities that contain the West Whiteland Township
Female
Male
1x0x1xFM#StamfordGreenburghSpringfieldChesterW WhitelandNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipPhiladelphiaManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordWest ChesterErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-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-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-1.000000x-1.000000x1.187014x1.187014x1.19x4.301%4.30%5.105%5.11%-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-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-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-1.000000x1.086755x1.086755x1.09x7.076%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-1.000000x1.033859x1.033859x1.03x4.033%4.03%4.170%4.17%-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#43

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in the Northeast, and entities that contain the West Whiteland Township
Female
Male
1x0x1x2xFM#LakewoodAllentownWest ChesterToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterChesterPennsylvaniaPhiladelphiaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxW WhitelandTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.952506x1.952506x1.95x4.298%4.30%8.392%8.39%-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-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-1.000000x1.193963x1.193963x1.19x4.674%4.67%5.581%5.58%-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the West Whiteland Township, selected other county subdivisions in the United States, and entities that contain the West Whiteland Township
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 HempsteadHempsteadPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantChester CountyChesterPlanoSeattle EastWest Whiteland TownshipW WhitelandWest Chester Area School DistrictWest Chester28.998944%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%54,23054.2k4310.325347%10.325347%10.3%424,982425k10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.045428%7.045428%7.0%24,29224.3k5.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.691225%4.691225%4.7%6104.099302%4.099302%4.1%2,964
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#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the West Whiteland Township, selected other county subdivisions in the United States, and entities that contain the West Whiteland Township
0%20%40%60%Count#ManhattanWest Chester Area School DistrictWest ChesterSeattle EastWest Whiteland TownshipW WhitelandWashingtonSan FranciscoPlanoChester CountyChesterSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.860452%57.860452%57.9%41,83641.8k57.691220%57.691220%57.7%238,638239k256.963778%56.963778%57.0%7,40755.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k550.232750%50.232750%50.2%173,198173k49.985845%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%669,666670k1735.513094%35.513094%35.5%1,461,6871.46M34.780899%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%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#46

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the West Whiteland Township, selected other county subdivisions in the United States, and entities that contain the West Whiteland Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleWest Chester Area School DistrictWest ChesterSan JoseSeattle EastChester CountyChesterDenverSan DiegoWest Whiteland TownshipW WhitelandAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%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%49,79049.8k66.272042%6.272042%6.3%4,5356.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.763201%5.763201%5.8%19,87119.9k5.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.114204%5.114204%5.1%6655.058711%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%19,24719.2k194.292246%4.292246%4.3%176,665177k4.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%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%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in the United States, and entities that contain the West Whiteland Township
Female
Male
1x0x1xFM#1, CharlotteChesterDetroitW WhitelandBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPhiladelphiaPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisWest ChesterBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.187014x1.187014x1.19x4.301%4.30%5.105%5.11%-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-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-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-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%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-1.000000x1.033859x1.033859x1.03x4.033%4.03%4.170%4.17%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#48

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the West Whiteland Township, selected other county subdivisions in the United States, and entities that contain the West Whiteland Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityWest ChesterPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixChesterPennsylvaniaTucson1, CharlotteNW HarrisLas VegasPhiladelphiaSeattle 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 DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioW WhitelandLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.952506x1.952506x1.95x4.298%4.30%8.392%8.39%-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-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-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-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-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-1.000000x1.193963x1.193963x1.19x4.674%4.67%5.581%5.58%-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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More Maps to Explore

State:
Pennsylvania
County:
Chester
Metro Area:
Philadelphia Area
Unincorporated Place:
Exton
ZIP Codes:
19335, 19341, 19380
Unified School District:
West Chester
Congressional District:
PA-6
State Senate District:
PA-19
State House District:
PA-167
Neighboring Townships:
Charlestown, East Bradford, East Caln, East Goshen, East Whiteland, Uwchlan, West Goshen
Nearby Townships:
East Brandywine, Upper Uwchlan, West Bradford, West Pikeland, West Vincent, Westtown, Willistown