Educational Attainment in North Wales, Montgomery County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Montgomery County and North Wales
North Wales
Montgomery County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma249.617978%54.288002%49.617978%49.6%1,10445.752809%39.614986%45.752809%45.8%1,0184.629213%6.097012%4.629213%4.6%103
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 Montgomery County at large.
Scope: population of Montgomery County and North Wales
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-8.602314%-8.602314%-8.6%49.618%49.6%54.288%54.3%15.493688%15.493688%+15.5%45.753%45.8%39.615%39.6%-24.074062%-24.074062%-24.1%4.629%4.63%6.097%6.10%
% percentage with given level in North Wales
ref. percentage with given level in Montgomery 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 Montgomery County and North Wales
North Wales
Montgomery County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.617978%2.678873%1.617978%1.6%362.516854%3.937902%2.516854%2.5%5610.516854%14.184610%10.516854%10.5%23426.966292%26.655946%26.966292%27.0%6008.000000%6.830671%8.000000%8.0%17816.044944%15.053334%16.044944%16.0%35729.707865%24.561652%29.707865%29.7%6612.471910%4.031974%2.471910%2.5%551.348315%1.501304%1.348315%1.3%300.808989%0.563734%0.808989%0.8%18
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 Montgomery County at large.
Scope: population of Montgomery County and North Wales
-40%-20%-0%+20%+40%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-39.602312%-39.602312%-39.6%1.618%1.62%2.679%2.68%-36.086421%-36.086421%-36.1%2.517%2.52%3.938%3.94%-25.857290%-25.857290%-25.9%10.517%10.5%14.185%14.2%1.164268%1.164268%+1.2%26.966%27.0%26.656%26.7%17.118794%17.118794%+17.1%8.000%8.00%6.831%6.83%6.587311%6.587311%+6.6%16.045%16.0%15.053%15.1%20.952225%20.952225%+21.0%29.708%29.7%24.562%24.6%-38.692312%-38.692312%-38.7%2.472%2.47%4.032%4.03%-10.190447%-10.190447%-10.2%1.348%1.35%1.501%1.50%43.505506%43.505506%+43.5%0.809%0.81%0.564%0.56%
% percentage with given level in North Wales
ref. percentage with given level in Montgomery 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 Montgomery County and North Wales
More Females More Males
Montgomery County
North Wales
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-30.215250%-2.165344%-30.215250%30%55.824%55.8%42.871%42.9%30.328148%1.185360%30.328148%30%39.948%39.9%52.064%52.1%19.818509%12.060602%19.818509%20%4.228%4.23%5.066%5.07%
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 Montgomery County and North Wales
More Females More Males
Montgomery County
North Wales
500%0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None21.515285%52.271871%21.515285%22%1.467%1.47%1.782%1.78%-543.830889%-543.830889%544%83.741236%4.228%4.23%0.657%0.66%-26.668806%14.446529%14.446529%14%9.836%9.84%11.257%11.3%-68.333143%-68.333143%68%3.221630%33.477%33.5%19.887%19.9%-38.058190%36.249317%36.249317%36%6.816%6.82%9.287%9.29%-49.460742%-49.460742%49%4.217656%19.068%19.1%12.758%12.8%-0.635011%88.245624%88.245624%88%20.880%20.9%39.306%39.3%-2.588438%-2.588438%3%16.049924%2.502%2.50%2.439%2.44%-83.951682%-83.951682%84%3.262514%1.726%1.73%0.938%0.94%1,000.000000%8.487232%1,000.000000%> 1000%0.000%0%1.689%1.69%
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 Montgomery County and North Wales
North Wales
Montgomery County
0%10%20%30%40%B.X.Total65+45-6435-4425-344.950495%17.160196%4.950495%5.0%2040420.603538%25.766072%20.603538%20.6%19896146.827133%31.027572%46.827133%46.8%21445741.687345%36.797526%41.687345%41.7%168403
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 Montgomery County at large.
Scope: population of Montgomery County and North Wales
60%40%20%0%20%40%%ref.65+45-6435-4425-34-71.151291%-71.151291%71.2%4.950%4.95%17.160%17.2%-20.036170%-20.036170%20.0%20.604%20.6%25.766%25.8%50.921038%50.921038%50.9%46.827%46.8%31.028%31.0%13.288445%13.288445%13.3%41.687%41.7%36.798%36.8%
% percentage in North Wales with a Bachelor's degree
ref percentage in Montgomery 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 Montgomery County and North Wales
More Females More Males
Montgomery County
North Wales
100%50%0%50%100%FM65+45-6435-4425-34115.060241%39.714026%115.060241%115.1%3.361%3.36%7.229%7.23%-113.499371%-2.211102%-113.499371%113.5%27.926%27.9%13.080%13.1%-57.809984%-10.767488%-57.809984%57.8%55.556%55.6%35.204%35.2%-90.751445%-6.257977%-90.751445%90.8%57.225%57.2%30.000%30.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Montgomery County and North Wales
North Wales
Montgomery County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$72,986.000000$81,863.000000$72,986.000000$73.0k32614.652%14.7%$53,750.000000$60,507.000000$53,750.000000$53.8k60026.966%27.0%$40,500.000000$40,410.000000$40,500.000000$40.5k53524.045%24.0%$31,961.000000$33,019.000000$31,961.000000$32.0k66129.708%29.7%$45,536.000000$50,313.000000$45,536.000000$45.5k2,225100.000%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 Montgomery County and North Wales
Female Male
Montgomery County
North Wales
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-67,981.000000$-6,463.000000$-65,055.000000$-74,444.000000$74.4k$67,981.000000$65,055.000000$37,869.000000$67,981.000000$68.0k180146$-45,500.000000$-49,738.000000$-45,500.000000$45.5k$45,500.000000$17,278.000000$49,738.000000$23,147.000000$62,778.000000$62.8k388212$-36,182.000000$-33,590.000000$-36,182.000000$36.2k$36,182.000000$10,872.000000$33,590.000000$14,556.000000$47,054.000000$47.1k300235$-19,615.000000$-26,544.000000$-19,615.000000$19.6k$19,615.000000$22,010.000000$26,544.000000$14,104.000000$41,625.000000$41.6k242419$-37,262.000000$-41,222.000000$-37,262.000000$37.3k$37,262.000000$13,788.000000$41,222.000000$17,484.000000$51,050.000000$51.1k1,1591,066
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Montgomery County and North Wales
North Wales
Montgomery County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.304400%85.548916%84.304400%84.3%70985.426009%78.489036%85.426009%85.4%38188.387097%71.896092%88.387097%88.4%41114.492754%56.884815%14.492754%14.5%10
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Montgomery County and North Wales
Female Male
Montgomery County
North Wales
Shaded bar tips show excess over facing bar.
10%0%10%20%MFWhite1AsianHispanic2Other1-4.516129%-4.691534%-4.516129%4.5%4.516129%0.934605%4.691534%0.354160%5.450734%5.5%5249-0.000000%-6.051629%-2.804760%0.000000%0.0%0.000000%0.000000%6.051629%0.000000%0.0%00-0.000000%-19.376230%0.000000%0.0%0.000000%0.000000%19.376230%7.498770%0.000000%0.0%00-0.000000%-13.762879%0.000000%0.0%0.000000%0.000000%13.762879%5.601860%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Montgomery County and North Wales
Female Male
Montgomery County
North Wales
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1AsianHispanic2Other1-36.268344%-11.842255%-47.361298%-48.110599%48.1%36.268344%47.361298%2.207150%36.268344%36.3%346522-27.906977%-24.473976%-61.807720%-52.380952%52.4%27.906977%61.807720%7.844206%27.906977%27.9%1211-0.000000%-68.965517%-25.335145%-8.039635%-68.965517%69.0%0.000000%25.335145%0.000000%0.0%020-0.000000%-45.454545%-26.407856%-8.929680%-45.454545%45.5%0.000000%26.407856%0.000000%0.0%015
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Philadelphia Area

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

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of North Wales, selected other county subdivisions in the Philadelphia Area, and entities that contain North Wales
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 TownshipFallsNewarkWashington TownshipWashingtonMontgomery CountyMontgomeryCherry Hill TownshipCherry HlHorsham TownshipHorshamNorth Penn School DistrictNorth PennUpper Moreland TownshipUpper MorelandBrandywineLower Providence TownshipLower ProvidenceMiddletown TownshipMiddletownGlasgowAbington TownshipAbingtonMount Laurel TownshipMt LaurelNorth Wales201100Tract 201100North WalesUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamEvesham TownshipEveshamSpringfield TownshipSpringfieldPiedmontZIP Code 19454ZIP 19454Montgomery 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%1,718266.866942%6.866942%6.9%2,823276.608430%6.608430%6.6%2,209286.097012%6.097012%6.1%34,80434.8k5.926298%5.926298%5.9%2,951295.821670%5.821670%5.8%1,044305.706326%5.706326%5.7%4,1175.531441%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%1,469374.629213%4.629213%4.6%1034.629213%4.629213%4.6%1034.629213%4.629213%4.6%1034.625530%4.625530%4.6%982384.539848%4.539848%4.5%1,141394.445057%4.445057%4.4%1,451404.233053%4.233053%4.2%720413.801528%3.801528%3.8%806423.718313%3.718313%3.7%7733.654154%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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of North Wales, selected other county subdivisions in the Philadelphia Area, and entities that contain North Wales
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorLower Makefield TownshipLower MakefieldPiedmontUpper Dublin TownshipUpper DublinMontgomery TownshipMontgomeryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCherry Hill TownshipCherry HlZIP Code 19454ZIP 19454Cheltenham TownshipCheltenhamNorthampton TownshipNorthamptonMount Laurel TownshipMt LaurelLower Providence TownshipLower ProvidenceVoorhees TownshipVoorheesMontgomery CountyMontgomeryHorsham TownshipHorshamAbington TownshipAbingtonBrandywineNorth Penn School DistrictNorth PennEvesham TownshipEveshamNewarkSpringfield TownshipSpringfieldNorth Wales201100Tract 201100North WalesPike 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%11,56611.6k656.874344%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%27,19427.2k1053.711097%53.711097%53.7%11,16611.2k52.059046%52.059046%52.1%13,08413.1k1149.916083%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%10,22810.2k1547.457330%47.457330%47.5%270,904271k47.292701%47.292701%47.3%8,4811646.736041%46.736041%46.7%18,41418.4k1746.488801%46.488801%46.5%26,71226.7k1846.324222%46.324222%46.3%33,42233.4k45.881200%45.881200%45.9%14,97715.0k1943.896862%43.896862%43.9%18,04618.0k2043.112470%43.112470%43.1%7,3332141.617978%41.617978%41.6%92641.617978%41.617978%41.6%92641.617978%41.617978%41.6%92639.627845%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#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of North Wales, selected other county subdivisions in the Philadelphia Area, and entities that contain North Wales
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 MerionZIP Code 19454ZIP 19454Montgomery TownshipMontgomeryVoorhees TownshipVoorheesMontgomery CountyMontgomeryNorthampton TownshipNorthamptonBrandywineAbington TownshipAbingtonHorsham TownshipHorshamNewarkMount Laurel TownshipMt LaurelNorth Penn School DistrictNorth PennLower Providence TownshipLower ProvidencePike Creek-Central KirkwoodPike Crk-Cntrl Kirk…Philadelphia, Camden, and Wilmington Metro AreaPhiladelphiaEvesham TownshipEveshamNorth Wales201100Tract 201100North WalesWilmingtonSpringfield 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%1,563107.345231%7.345231%7.3%1,5277.253027%7.253027%7.3%1,312116.691818%6.691818%6.7%1,419126.616775%6.616775%6.6%37,77137.8k6.443374%6.443374%6.4%1,766136.408047%6.408047%6.4%3,682145.997462%5.997462%6.0%2,363155.961077%5.961077%6.0%1,069165.874483%5.874483%5.9%2,415175.110698%5.110698%5.1%1,512184.888562%4.888562%4.9%3,5274.719063%4.719063%4.7%834194.459212%4.459212%4.5%1,342204.292246%4.292246%4.3%176,665177k4.193855%4.193855%4.2%1,369214.134831%4.134831%4.1%924.134831%4.134831%4.1%924.134831%4.134831%4.1%924.121782%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#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in the Philadelphia Area, and entities that contain North Wales
Female
Male
1x0x1x2xFM#RadnorMiddletown-OdessaUpper MorelandUpper ChristianaWinslow3, ElktonMt LaurelLower ChristianaCheltenhamWillingboroPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…SpringfieldGlasgowWilmingtonFallsBristolChesterNorth WalesTract 201100North WalesNew CastleHorshamUpper DarbyHaverfordNorristownDeptfordBrandywinePennsaukenMontgomeryMonroeUnited StatesRidleyPhiladelphiaPennsylvaniaPhiladelphiaEveshamNortheastGloucesterMiddle AtlanticLower ProvidenceCamdenWashingtonNewarkLower MerionLower MakefieldAbingtonMiddletownUpper DublinPembertonUpper Merion5, N EBensalemPiedmontCherry HlWarminsterZIP 19454North PennNorthamptonMontgomeryVoorheesTredyffrin-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-1.000000x1.245559x1.245559x1.25x6.496%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-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.196838x1.196838x1.20x11.897%11.9%14.239%14.2%18-1.000000x-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-1.000000x1.120606x1.120606x1.12x5.766%5.77%6.461%6.46%-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-1.000000x1.027366x1.027366x1.03x6.525%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%46-1.205450x-1.205450x1.21x1.000000x1.000000x4.035%4.03%3.347%3.35%-1.249321x-1.249321x1.25x1.000000x1.000000x6.297%6.30%5.040%5.04%-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#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in the Philadelphia Area, and entities that contain North Wales
Female
Male
2x0x2x4xFM#FallsVoorheesChesterUpper DublinWashington5, N ELower MerionSpringfieldCherry HlNorthamptonCheltenhamPiedmontBrandywineUpper MerionWinslowAbingtonRadnorMontgomeryNewarkTredyffrinPennsylvaniaHaverfordPhiladelphiaLower ProvidenceUpper DarbyMiddletownUnited StatesMonroeLower MakefieldMiddle AtlanticMt LaurelNortheastHorshamGloucesterRidley3, ElktonPennsaukenEveshamPembertonNorth PennCamdenPhiladelphiaPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…DeptfordGlasgowMiddletown-OdessaZIP 19454BensalemWarminsterMontgomeryWilmingtonUpper ChristianaLower ChristianaUpper MorelandBristolNew CastleWillingboroNorristownNorth WalesTract 201100North Wales-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-1.000000x1.884402x1.884402x1.88x5.140%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-1.000000x1.701328x1.701328x1.70x4.960%4.96%8.439%8.44%-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-1.000000x1.629829x1.629829x1.63x2.534%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-1.000000x1.404006x1.404006x1.40x4.109%4.11%5.769%5.77%-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-1.000000x1.191436x1.191436x1.19x1.676%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-1.000000x1.151507x1.151507x1.15x6.867%6.87%7.907%7.91%-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%50-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%
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 North Wales to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with North Wales. The least populous of the compared county subdivisions has a population of 27,333.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of North Wales, selected other county subdivisions in Pennsylvania, and entities that contain North Wales
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 TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgMontgomery CountyMontgomeryLower Macungie TownshipLower MacungieHampden TownshipHampdenNorth Penn School DistrictNorth PennRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumNorth Wales201100Tract 201100North WalesUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonZIP Code 19454ZIP 19454McCandless 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%2,260246.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.097012%6.097012%6.1%34,80434.8k6.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.706326%5.706326%5.7%4,1175.637439%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%968364.629213%4.629213%4.6%1034.629213%4.629213%4.6%1034.629213%4.629213%4.6%1034.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.718313%3.718313%3.7%7733.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of North Wales, selected other county subdivisions in Pennsylvania, and entities that contain North Wales
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordZIP Code 19454ZIP 19454Cheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieMontgomery CountyMontgomeryAbington TownshipAbingtonNorth Penn School DistrictNorth PennManheim TownshipManheimBethel ParkRoss TownshipNorth Wales201100Tract 201100North WalesPittsburghMillcreek 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%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1053.711097%53.711097%53.7%11,16611.2k52.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1447.457330%47.457330%47.5%270,904271k46.736041%46.736041%46.7%18,41418.4k1546.324222%46.324222%46.3%33,42233.4k45.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1841.617978%41.617978%41.6%92641.617978%41.617978%41.6%92641.617978%41.617978%41.6%92640.731207%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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of North Wales, selected other county subdivisions in Pennsylvania, and entities that contain North Wales
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionZIP Code 19454ZIP 19454McCandless TownshipMcCandlessMontgomery CountyMontgomeryNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenNorth Penn School DistrictNorth PennMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevillePhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaRoss TownshipNorth Wales201100Tract 201100North WalesBethel 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%1,563107.345231%7.345231%7.3%1,5276.966325%6.966325%7.0%1,446116.616775%6.616775%6.6%37,77137.8k6.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.888562%4.888562%4.9%3,5274.703063%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%1,014204.134831%4.134831%4.1%924.134831%4.134831%4.1%924.134831%4.134831%4.1%924.105042%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#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in Pennsylvania, and entities that contain North Wales
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportNorth WalesTract 201100North WalesUpper DarbyHaverfordNorristownSpgManheimMontgomeryUnited StatesRidleyWilkes-BarrePhiladelphiaPennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenZIP 19454North PennMcCandlessN 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-1.000000x1.245559x1.245559x1.25x6.496%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-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-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-1.000000x1.120606x1.120606x1.12x5.766%5.77%6.461%6.46%-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-1.000000x1.033360x1.033360x1.03x12.706%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%42-1.205450x-1.205450x1.21x1.000000x1.000000x4.035%4.03%3.347%3.35%-1.249321x-1.249321x1.25x1.000000x1.000000x6.297%6.30%5.040%5.04%-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%43-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%44-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%45-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%46-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%47-1.583597x-1.583597x1.58x1.000000x1.000000x3.691%3.69%2.330%2.33%48-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in Pennsylvania, and entities that contain North Wales
Female
Male
2x0x2x4xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessMontgomeryTredyffrinState CollegeReadingPennsylvaniaHaverfordPhiladelphiaManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyNorth PennPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieZIP 19454BensalemWarminsterPlumBristolPenn HlsLancasterNorristownNorth WalesTract 201100North Wales-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-1.000000x1.944570x1.944570x1.94x1.712%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-1.000000x1.701328x1.701328x1.70x4.960%4.96%8.439%8.44%-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-1.000000x1.629829x1.629829x1.63x2.534%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-1.000000x1.404006x1.404006x1.40x4.109%4.11%5.769%5.77%-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-1.000000x1.151507x1.151507x1.15x6.867%6.87%7.907%7.91%-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%50-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%
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 North Wales to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with North Wales. The least populous of the compared county subdivisions has a population of 91,133.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of North Wales, selected other county subdivisions in the Northeast, and entities that contain North Wales
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 GreenburghGreenburghMontgomery CountyMontgomeryCambridgeTown of Oyster BayOyster BayNorth Penn School DistrictNorth PennNorth Wales201100Tract 201100North WalesTown of AmherstAmherstTown of SmithtownSmithtownZIP Code 19454ZIP 1945428.837398%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%4,660466.097012%6.097012%6.1%34,80434.8k5.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k485.706326%5.706326%5.7%4,1174.629213%4.629213%4.6%1034.629213%4.629213%4.6%1034.629213%4.629213%4.6%1034.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,744503.718313%3.718313%3.7%773
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of North Wales, selected other county subdivisions in the Northeast, and entities that contain North Wales
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstZIP Code 19454ZIP 19454Town of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayMontgomery CountyMontgomeryTown of StamfordStamfordBostonNorth Penn School DistrictNorth PennTown of SmithtownSmithtownJersey CityQuincyNorth Wales201100Tract 201100North WalesPittsburghTown 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%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.711097%53.711097%53.7%11,16611.2k53.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.457330%47.457330%47.5%270,904271k47.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.324222%46.324222%46.3%33,42233.4k46.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1341.617978%41.617978%41.6%92641.617978%41.617978%41.6%92641.617978%41.617978%41.6%92640.731207%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#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of North Wales, selected other county subdivisions in the Northeast, and entities that contain North Wales
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghZIP Code 19454ZIP 19454BostonMontgomery CountyMontgomeryTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonNorth Penn School DistrictNorth PennTown of HempsteadHempsteadJersey CityPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaSyracuseNorth Wales201100Tract 201100North WalesNortheastTown 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%15,15915.2k87.345231%7.345231%7.3%1,5277.340604%7.340604%7.3%32,61132.6k96.616775%6.616775%6.6%37,77137.8k6.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.888562%4.888562%4.9%3,5274.441262%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%3,685184.134831%4.134831%4.1%924.134831%4.134831%4.1%924.134831%4.134831%4.1%924.085016%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#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in the Northeast, and entities that contain North Wales
Female
Male
1x0x1xFM#StamfordGreenburghSpringfieldNorth WalesTract 201100North WalesNewarkGreeceRamapoBrookhavenBridgeportMontgomeryNew BedfordWorcesterUnited StatesTown of IslipPhiladelphiaManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstZIP 19454North PennCambridgeEdison-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-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-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-1.000000x1.120606x1.120606x1.12x5.766%5.77%6.461%6.46%-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-1.000000x1.033360x1.033360x1.03x12.706%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%48-1.205450x-1.205450x1.21x1.000000x1.000000x4.035%4.03%3.347%3.35%-1.249321x-1.249321x1.25x1.000000x1.000000x6.297%6.30%5.040%5.04%-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in the Northeast, and entities that contain North Wales
Female
Male
2x1x0x1x2xFM#LakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayMontgomeryGreenburghManchesterPennsylvaniaPhiladelphiaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterNorth PennPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonZIP 19454New HvnYonkersNewarkWorcesterBrocktonNorth WalesTract 201100North Wales-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-1.000000x1.866111x1.866111x1.87x1.933%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-1.000000x1.701328x1.701328x1.70x4.960%4.96%8.439%8.44%-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-1.000000x1.629829x1.629829x1.63x2.534%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-1.000000x1.404006x1.404006x1.40x4.109%4.11%5.769%5.77%-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.151507x1.151507x1.15x6.867%6.87%7.907%7.91%-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%50-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%
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 North Wales to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with North Wales. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of North Wales, selected other county subdivisions in the United States, and entities that contain North Wales
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 TarrantMontgomery CountyMontgomeryPlanoNorth Penn School DistrictNorth PennSeattle EastNorth Wales201100Tract 201100North WalesZIP Code 19454ZIP 1945428.998944%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%31,44331.4k486.097012%6.097012%6.1%34,80434.8k5.714681%5.714681%5.7%20,64420.6k495.706326%5.706326%5.7%4,1174.913852%4.913852%4.9%20,32620.3k504.629213%4.629213%4.6%1034.629213%4.629213%4.6%1034.629213%4.629213%4.6%1033.718313%3.718313%3.7%773
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of North Wales, selected other county subdivisions in the United States, and entities that contain North Wales
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoZIP Code 19454ZIP 19454San JoseAtlantaSeattleMontgomery CountyMontgomeryBostonNorth Penn School DistrictNorth PennDenverAustinTownship 1:Charlotte1, CharlotteNorth Wales201100Tract 201100North WalesTown 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%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k553.711097%53.711097%53.7%11,16611.2k49.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k847.457330%47.457330%47.5%270,904271k46.377869%46.377869%46.4%206,036206k946.324222%46.324222%46.3%33,42233.4k45.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1241.617978%41.617978%41.6%92641.617978%41.617978%41.6%92641.617978%41.617978%41.6%92638.767308%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#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of North Wales, selected other county subdivisions in the United States, and entities that contain North Wales
0%5%10%Count#WashingtonManhattanSan FranciscoZIP Code 19454ZIP 19454BostonAtlantaSeattleMontgomery CountyMontgomerySan JoseSeattle EastDenverSan DiegoAustinBaltimoreNorth Penn School DistrictNorth PennLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNorth Wales201100Tract 201100North WalesNortheastMiamiMiddle 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%50,56350.6k37.345231%7.345231%7.3%1,5277.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.616775%6.616775%6.6%37,77137.8k6.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.888562%4.888562%4.9%3,5274.659072%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%176,665177k4.134831%4.134831%4.1%924.134831%4.134831%4.1%924.134831%4.134831%4.1%924.085016%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#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in the United States, and entities that contain North Wales
Female
Male
1x0x1xFM#1, CharlotteDetroitNorth WalesTract 201100North WalesBaltimoreTulsaSW DallasFresnoMilwaukeeMontgomeryUnited StatesNE DallasHoustonPhiladelphiaPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoZIP 19454San FranciscoNorth PennEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-1.000000x-1.000000x1.198185x1.198185x1.20x4.228%4.23%5.066%5.07%-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-1.000000x1.120606x1.120606x1.12x5.766%5.77%6.461%6.46%-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-1.000000x1.030539x1.030539x1.03x28.448%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%48-1.205450x-1.205450x1.21x1.000000x1.000000x4.035%4.03%3.347%3.35%-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.249321x-1.249321x1.25x1.000000x1.000000x6.297%6.30%5.040%5.04%-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of North Wales, selected other county subdivisions in the United States, and entities that contain North Wales
Female
Male
2x1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueMontgomeryNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisLas VegasPhiladelphiaSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusNorth PennMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodZIP 19454DenverSan FranciscoDetroitNorth WalesTract 201100North Wales-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.701328x1.701328x1.70x4.960%4.96%8.439%8.44%-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-1.000000x1.629829x1.629829x1.63x2.534%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-1.000000x1.404006x1.404006x1.40x4.109%4.11%5.769%5.77%-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.151507x1.151507x1.15x6.867%6.87%7.907%7.91%-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%50-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%-2.334771x-2.334771x2.33x1.000000x1.000000x5.695%5.69%2.439%2.44%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Montgomery
Metro Area:
Philadelphia Area
Borough:
North Wales
ZIP Code:
19454
Unified School District:
North Penn
Congressional District:
PA-13
State Senate District:
PA-12
State House District:
PA-61
Neighboring Townships:
Upper Gwynedd
Nearby Townships:
East Norriton, Hatfield, Lower Gwynedd, Montgomery, Towamencin, Whitpain, Worcester