Educational Attainment in Green Lane, Montgomery County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Montgomery County and Green Lane
Green Lane
Montgomery County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma226.402640%54.288002%26.402640%26.4%8066.336634%39.614986%66.336634%66.3%2017.260726%6.097012%7.260726%7.3%22
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 Green Lane
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-51.365607%-51.365607%-51.4%26.403%26.4%54.288%54.3%67.453380%67.453380%+67.5%66.337%66.3%39.615%39.6%19.086631%19.086631%+19.1%7.261%7.26%6.097%6.10%
% percentage with given level in Green Lane
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 Green Lane
Green Lane
Montgomery County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.660066%2.678873%0.660066%0.7%20.000000%0.000000%0.0%3.937902%06.270627%14.184610%6.270627%6.3%1914.851485%26.655946%14.851485%14.9%454.620462%6.830671%4.620462%4.6%1415.181518%15.053334%15.181518%15.2%4651.155116%24.561652%51.155116%51.2%1553.630363%4.031974%3.630363%3.6%112.640264%1.501304%2.640264%2.6%80.990099%0.563734%0.990099%1.0%3
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 Green Lane
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-75.360313%-75.360313%-75.4%0.660%0.66%2.679%2.68%-100.000000%-100.000000%-100.0%0.000%0%3.938%3.94%-55.792741%-55.792741%-55.8%6.271%6.27%14.185%14.2%-44.284531%-44.284531%-44.3%14.851%14.9%26.656%26.7%-32.357132%-32.357132%-32.4%4.620%4.62%6.831%6.83%0.851534%0.851534%+0.9%15.182%15.2%15.053%15.1%108.272288%108.272288%+108.3%51.155%51.2%24.562%24.6%-9.960656%-9.960656%-10.0%3.630%3.63%4.032%4.03%75.864690%75.864690%+75.9%2.640%2.64%1.501%1.50%75.632427%75.632427%+75.6%0.990%0.99%0.564%0.56%
% percentage with given level in Green Lane
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 Green Lane
More Females More Males
Montgomery County
Green Lane
0%200%400%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-105.059524%-2.165344%-105.059524%105%36.111%36.1%17.610%17.6%13.970744%1.185360%13.970744%14%61.806%61.8%70.440%70.4%473.584906%12.060602%473.584906%474%2.083%2.08%11.950%11.9%
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 Green Lane
More Females More Males
Montgomery County
Green Lane
500%0%500%1,000%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%52.271871%1,000.000000%> 1000%0.000%0%1.258%1.26%-139.236111%-26.668806%-139.236111%139%9.028%9.03%3.774%3.77%-65.625000%-65.625000%66%3.221630%18.750%18.8%11.321%11.3%-562.500000%-38.058190%-562.500000%562%8.333%8.33%1.258%1.26%-43.541667%-43.541667%44%4.217656%18.056%18.1%12.579%12.6%-0.635011%32.255166%32.255166%32%43.750%43.8%57.862%57.9%141.509434%16.049924%141.509434%142%2.083%2.08%5.031%5.03%1,000.000000%3.262514%1,000.000000%> 1000%0.000%0%5.031%5.03%1,000.000000%8.487232%1,000.000000%> 1000%0.000%0%1.887%1.89%
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 Green Lane
Green Lane
Montgomery County
0%5%10%15%20%25%30%35%B.X.Total65+45-6435-4425-348.333333%17.160196%8.333333%8.3%78427.500000%25.766072%27.500000%27.5%331202.666667%31.027572%2.666667%2.7%27512.500000%36.797526%12.500000%12.5%324
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 Green Lane
80%60%40%20%0%%ref.65+45-6435-4425-34-51.438007%-51.438007%51.4%8.333%8.33%17.160%17.2%6.729501%6.729501%6.7%27.500%27.5%25.766%25.8%-91.405494%-91.405494%91.4%2.667%2.67%31.028%31.0%-66.030325%-66.030325%66.0%12.500%12.5%36.798%36.8%
% percentage in Green Lane 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 Green Lane
More Females More Males
Montgomery County
Green Lane
1,000%500%0%FM65+45-6435-4425-34-1,000.000000%-1,000.000000%> 1000%39.714026%16.279%16.3%0.000%0%-2.211102%11.229947%11.229947%11.2%26.154%26.2%29.091%29.1%-1,000.000000%-10.767488%-1,000.000000%> 1000%8.333%8.33%0.000%0%-6.257977%100.000000%100.000000%100.0%8.333%8.33%16.667%16.7%
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 Green Lane
Green Lane
Montgomery County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$93,125.000000$81,863.000000$93,125.000000$93.1k216.931%6.93%$44,688.000000$60,507.000000$44,688.000000$44.7k4514.851%14.9%$63,125.000000$40,410.000000$63,125.000000$63.1k6019.802%19.8%$37,083.000000$33,019.000000$37,083.000000$37.1k15551.155%51.2%$28,438.000000$22,423.000000$28,438.000000$28.4k227.261%7.26%$45,694.000000$50,313.000000$45,694.000000$45.7k303100.000%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 Green Lane
Female Male
Montgomery County
Green Lane
Shaded bar tips show excess over facing bar.
$0k$50kFMBachelor's DegreeH.S. Diploma2Total$-44,063.000000$-49,738.000000$-44,063.000000$44.1k$44,063.000000$8,854.000000$49,738.000000$23,147.000000$52,917.000000$52.9k2718$-35,893.000000$-10,000.000000$-26,544.000000$-45,893.000000$45.9k$35,893.000000$26,544.000000$14,104.000000$35,893.000000$35.9k6392$-45,000.000000$-1,786.000000$-41,222.000000$-46,786.000000$46.8k$45,000.000000$41,222.000000$17,484.000000$45,000.000000$45.0k144159
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 Green Lane
Green Lane
Montgomery County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%85.548916%100.000000%100.0%53100.000000%78.489036%100.000000%100.0%4781.250000%71.896092%81.250000%81.3%9157.142857%56.884815%57.142857%57.1%4
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 Green Lane
Female Male
Montgomery County
Green Lane
Shaded bar tips show excess over facing bar.
0%5%10%MFWhite1-2.083333%-4.691534%-2.083333%2.1%2.083333%9.866352%4.691534%0.354160%11.949686%11.9%193
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 Green Lane
Female Male
Montgomery County
Green Lane
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1-16.352201%-11.425577%-47.361298%-27.777778%27.8%16.352201%47.361298%2.207150%16.352201%16.4%2640
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 Green Lane to the 50 most populous county subdivisions in the Philadelphia Area and to those entities that contain or substantially overlap with Green Lane. 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 Green Lane, selected other county subdivisions in the Philadelphia Area, and entities that contain Green Lane
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…Upper Perkiomen School DistrictUpper PerkiomenVoorhees TownshipVoorheesGreen LaneGreen LaneFalls TownshipFallsNewarkWashington TownshipWashingtonMontgomery CountyMontgomeryCherry Hill TownshipCherry HlHorsham TownshipHorsham207600Tract 207600Upper Moreland TownshipUpper MorelandBrandywineZIP Code 18054ZIP 18054Lower Providence TownshipLower ProvidenceMiddletown TownshipMiddletownGlasgowAbington TownshipAbingtonMount Laurel TownshipMt LaurelUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamEvesham TownshipEveshamSpringfield TownshipSpringfieldPiedmontMontgomery 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%2,342247.698123%7.698123%7.7%1,2227.658571%7.658571%7.7%1,624257.260726%7.260726%7.3%227.260726%7.260726%7.3%227.248333%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%1,044305.756767%5.756767%5.8%1515.531441%5.531441%5.5%943315.412555%5.412555%5.4%3,110325.290660%5.290660%5.3%1625.256606%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%1,469374.625530%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%806423.654154%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 Green Lane, selected other county subdivisions in the Philadelphia Area, and entities that contain Green Lane
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorLower Makefield TownshipLower MakefieldPiedmontUpper Dublin TownshipUpper DublinMontgomery TownshipMontgomeryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCherry Hill TownshipCherry HlCheltenham TownshipCheltenhamNorthampton TownshipNorthamptonMount Laurel TownshipMt LaurelLower Providence TownshipLower ProvidenceVoorhees TownshipVoorheesMontgomery CountyMontgomeryHorsham TownshipHorshamAbington TownshipAbingtonBrandywineEvesham TownshipEveshamNewarkSpringfield TownshipSpringfieldPike Creek-Central KirkwoodPike Crk-Cntrl Kirk…GlasgowMiddletown TownshipMiddletownUpper Moreland TownshipUpper MorelandPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaUpper ChristianaNortheastWashington TownshipWashingtonMiddle AtlanticMiddletown-OdessaUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterBensalem TownshipBensalemGloucester TownshipGloucesterWilmingtonPhiladelphiaWinslow TownshipWinslowZIP Code 18054ZIP 18054Upper Perkiomen School DistrictUpper PerkiomenRidley TownshipRidleyMonroe TownshipMonroeWillingboro TownshipWillingboroDistrict 5:North East5, N EGreen LaneGreen LaneFalls TownshipFallsNorristownNew CastleDeptford TownshipDeptfordDistrict 3:Elkton3, ElktonPennsauken TownshipPennsauken207600Tract 207600Lower 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%27,19427.2k1052.059046%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%26,71226.7k1845.881200%45.881200%45.9%14,97715.0k1943.896862%43.896862%43.9%18,04618.0k2043.112470%43.112470%43.1%7,3332139.627845%39.627845%39.6%11,92611.9k2239.494671%39.494671%39.5%10,89510.9k2337.980784%37.980784%38.0%12,29412.3k2436.051150%36.051150%36.1%6,1462535.513094%35.513094%35.5%1,461,6871.46M35.012892%35.012892%35.0%6,5182634.780899%34.780899%34.8%13,437,26113.4M34.235797%34.235797%34.2%11,44411.4k2733.644618%33.644618%33.6%9,577,4379.58M31.415451%31.415451%31.4%11,63011.6k2830.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k2929.333279%29.333279%29.3%2,595,9502.60M28.131093%28.131093%28.1%6,7813028.042439%28.042439%28.0%12,07912.1k3127.709611%27.709611%27.7%12,19512.2k3227.016179%27.016179%27.0%12,99113.0k3326.349720%26.349720%26.3%272,786273k3425.893829%25.893829%25.9%6,9023525.734814%25.734814%25.7%78825.626811%25.626811%25.6%4,06824.895130%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%3,9383921.782178%21.782178%21.8%6621.782178%21.782178%21.8%6621.774534%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%5,0764519.443385%19.443385%19.4%51019.391573%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 Green Lane, selected other county subdivisions in the Philadelphia Area, and entities that contain Green Lane
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorPiedmontTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldUpper Dublin TownshipUpper DublinCheltenham TownshipCheltenhamCherry Hill TownshipCherry HlHaverford TownshipHaverfordUpper Merion TownshipUpper MerionMontgomery TownshipMontgomeryVoorhees TownshipVoorheesMontgomery CountyMontgomeryNorthampton TownshipNorthamptonBrandywineAbington TownshipAbingtonHorsham TownshipHorshamNewarkMount Laurel TownshipMt LaurelLower Providence TownshipLower ProvidencePike Creek-Central KirkwoodPike Crk-Cntrl Kirk…Philadelphia, Camden, and Wilmington Metro AreaPhiladelphiaEvesham TownshipEveshamWilmingtonSpringfield TownshipSpringfieldNortheastMiddle AtlanticPhiladelphiaGlasgowUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvania207600Tract 207600Upper Darby TownshipUpper DarbyWashington TownshipWashingtonZIP Code 18054ZIP 18054Upper ChristianaDistrict 5:North East5, N EMiddletown-OdessaUpper Moreland TownshipUpper MorelandWarminster TownshipWarminsterUpper Perkiomen School DistrictUpper PerkiomenBensalem TownshipBensalemDeptford TownshipDeptfordGloucester TownshipGloucesterLower ChristianaWinslow TownshipWinslowMonroe TownshipMonroeNorristownWillingboro TownshipWillingboroDistrict 3:Elkton3, ElktonNew CastlePennsauken TownshipPennsaukenFalls TownshipFallsRidley TownshipRidleyBristol TownshipBristolCamdenGreen LaneGreen LaneChesterPemberton TownshipPemberton23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721213.819451%13.819451%13.8%2,930312.252226%12.252226%12.3%2,559411.031691%11.031691%11.0%2,562510.910286%10.910286%10.9%1,992610.078383%10.078383%10.1%2,53379.302139%9.302139%9.3%4,63288.331301%8.331301%8.3%2,73397.362223%7.362223%7.4%1,563107.253027%7.253027%7.3%1,312116.691818%6.691818%6.7%1,419126.616775%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%1,512184.719063%4.719063%4.7%834194.459212%4.459212%4.5%1,342204.292246%4.292246%4.3%176,665177k4.193855%4.193855%4.2%1,369214.121782%4.121782%4.1%1,982224.097831%4.097831%4.1%697234.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k243.367650%3.367650%3.4%929253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k2.516203%2.516203%2.5%662.458823%2.458823%2.5%1,354272.456098%2.456098%2.5%821282.384063%2.384063%2.4%732.347443%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%482331.927680%1.927680%1.9%3061.827088%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%293480.660066%0.660066%0.7%20.660066%0.660066%0.7%20.549179%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 Green Lane, selected other county subdivisions in the Philadelphia Area, and entities that contain Green Lane
Female
Male
0x2x4xFM#Green LaneGreen LaneTract 207600ZIP 18054RadnorMiddletown-OdessaUpper MorelandUpper ChristianaWinslow3, ElktonMt LaurelLower ChristianaCheltenhamWillingboroPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…SpringfieldGlasgowWilmingtonFallsBristolChesterNew CastleHorshamUpper DarbyHaverfordUpper PerkiomenNorristownDeptfordBrandywinePennsaukenMontgomeryMonroeUnited StatesRidleyPhiladelphiaPennsylvaniaPhiladelphiaEveshamNortheastGloucesterMiddle AtlanticLower ProvidenceCamdenWashingtonNewarkLower MerionLower MakefieldAbingtonMiddletownUpper DublinPembertonUpper Merion5, N EBensalemPiedmontCherry HlWarminsterNorthamptonMontgomeryVoorheesTredyffrin-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x3.485298x3.485298x3.49x2.522%2.52%8.789%8.79%-1.000000x-1.000000x2.725864x2.725864x2.73x2.809%2.81%7.658%7.66%-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-1.000000x1.196838x1.196838x1.20x11.897%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-1.000000x1.150977x1.150977x1.15x7.175%7.18%8.258%8.26%-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%46-1.483006x-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 Green Lane, selected other county subdivisions in the Philadelphia Area, and entities that contain Green Lane
Female
Male
0x5x10xFM#Green LaneGreen LaneTract 207600FallsVoorheesChesterUpper DublinWashington5, N ELower MerionSpringfieldCherry HlNorthamptonCheltenhamPiedmontBrandywineUpper PerkiomenUpper MerionWinslowZIP 18054AbingtonRadnorMontgomeryNewarkTredyffrinPennsylvaniaHaverfordPhiladelphiaLower ProvidenceUpper DarbyMiddletownUnited StatesMonroeLower MakefieldMiddle AtlanticMt LaurelNortheastHorshamGloucesterRidley3, ElktonPennsaukenEveshamPembertonCamdenPhiladelphiaPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…DeptfordGlasgowMiddletown-OdessaBensalemWarminsterMontgomeryWilmingtonUpper ChristianaLower ChristianaUpper MorelandBristolNew CastleWillingboroNorristown-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x5.935746x5.935746x5.94x0.709%0.71%4.210%4.21%-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-1.000000x1.908277x1.908277x1.91x1.340%1.34%2.557%2.56%-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-1.000000x1.831780x1.831780x1.83x1.672%1.67%3.063%3.06%-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-1.000000x1.361927x1.361927x1.36x0.587%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-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%40-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%41-1.000000x-1.000000x1.056902x1.056902x1.06x7.066%7.07%7.468%7.47%42-1.000000x-1.000000x1.046417x1.046417x1.05x4.036%4.04%4.224%4.22%43-1.000000x-1.000000x1.034532x1.034532x1.03x2.309%2.31%2.389%2.39%44-1.033167x-1.033167x1.03x1.000000x1.000000x1.742%1.74%1.687%1.69%45-1.138658x-1.138658x1.14x1.000000x1.000000x2.234%2.23%1.962%1.96%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.242944x-1.242944x1.24x1.000000x1.000000x1.348%1.35%1.085%1.08%48-1.331088x-1.331088x1.33x1.000000x1.000000x1.502%1.50%1.128%1.13%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares Green Lane to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Green Lane. 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 Green Lane, selected other county subdivisions in Pennsylvania, and entities that contain Green Lane
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 TownshipManheimPittsburghUpper Perkiomen School DistrictUpper PerkiomenGreen LaneGreen LaneFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgMontgomery CountyMontgomeryLower Macungie TownshipLower MacungieHampden TownshipHampden207600Tract 207600Ross TownshipShaler TownshipShalerZIP Code 18054ZIP 18054Millcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k10.325347%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%16,40616.4k227.698123%7.698123%7.7%1,2227.260726%7.260726%7.3%227.260726%7.260726%7.3%227.248333%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%1,234295.756767%5.756767%5.8%1515.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.290660%5.290660%5.3%1625.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Lane, selected other county subdivisions in Pennsylvania, and entities that contain Green Lane
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieMontgomery CountyMontgomeryAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaZIP Code 18054ZIP 18054Upper Perkiomen School DistrictUpper PerkiomenRidley TownshipRidleyGreen LaneGreen LaneFalls TownshipFallsErieScrantonNorristownWilliamsportLancaster207600Tract 207600HarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1447.457330%47.457330%47.5%270,904271k46.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262635.513094%35.513094%35.5%1,461,6871.46M34.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3525.734814%25.734814%25.7%78825.626811%25.626811%25.6%4,06824.895130%24.895130%24.9%5,4603621.782178%21.782178%21.8%6621.782178%21.782178%21.8%6621.774534%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%7,2904219.443385%19.443385%19.4%51018.214158%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 Green Lane, selected other county subdivisions in Pennsylvania, and entities that contain Green Lane
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessMontgomery CountyMontgomeryNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevillePhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpg207600Tract 207600LancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgZIP Code 18054ZIP 18054Penn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonUpper Perkiomen School DistrictUpper PerkiomenBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkGreen LaneGreen LaneChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.616775%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%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.292246%4.292246%4.3%176,665177k4.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.516203%2.516203%2.5%662.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.384063%2.384063%2.4%732.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.927680%1.927680%1.9%3061.827088%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%209480.660066%0.660066%0.7%20.660066%0.660066%0.7%20.549179%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 Green Lane, selected other county subdivisions in Pennsylvania, and entities that contain Green Lane
Female
Male
2x0x2x4xFM#Green LaneGreen LaneTract 207600ZIP 18054RadnorShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordUpper PerkiomenNorristownSpgManheimMontgomeryUnited StatesRidleyWilkes-BarrePhiladelphiaPennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x3.485298x3.485298x3.49x2.522%2.52%8.789%8.79%-1.000000x-1.000000x2.725864x2.725864x2.73x2.809%2.81%7.658%7.66%-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%6-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%7-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%8-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.150977x1.150977x1.15x7.175%7.18%8.258%8.26%-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%42-1.270679x-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 Green Lane, selected other county subdivisions in Pennsylvania, and entities that contain Green Lane
Female
Male
0x5x10xFM#Green LaneGreen LaneTract 207600FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper PerkiomenUpper MerionLower MacungieZIP 18054ScrantonAbingtonRoss TownshipRadnorMcCandlessMontgomeryTredyffrinState CollegeReadingPennsylvaniaHaverfordPhiladelphiaManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x5.935746x5.935746x5.94x0.709%0.71%4.210%4.21%-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-1.000000x1.908277x1.908277x1.91x1.340%1.34%2.557%2.56%-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-1.000000x1.831780x1.831780x1.83x1.672%1.67%3.063%3.06%-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-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%39-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%40-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%41-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%42-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%43-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
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 Green Lane to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Green Lane. 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 Green Lane, selected other county subdivisions in the Northeast, and entities that contain Green Lane
0%10%20%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonUpper Perkiomen School DistrictUpper PerkiomenToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonGreen LaneGreen LaneTown of GreenburghGreenburghMontgomery CountyMontgomeryCambridgeTown of Oyster BayOyster Bay207600Tract 207600ZIP Code 18054ZIP 18054Town of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.325347%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%5,836427.698123%7.698123%7.7%1,2227.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.260726%7.260726%7.3%227.260726%7.260726%7.3%227.208489%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%11,95012.0k485.756767%5.756767%5.8%1515.290660%5.290660%5.3%1624.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Lane, selected other county subdivisions in the Northeast, and entities that contain Green Lane
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayMontgomery CountyMontgomeryTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaZIP Code 18054ZIP 18054Upper Perkiomen School DistrictUpper PerkiomenTown of BabylonBabylonBuffaloRochesterLowellGreen LaneGreen LaneErieLynn207600Tract 207600BronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.457330%47.457330%47.5%270,904271k47.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1635.513094%35.513094%35.5%1,461,6871.46M34.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.734814%25.734814%25.7%78825.626811%25.626811%25.6%4,06825.418993%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%15,64215.6k3721.782178%21.782178%21.8%6621.782178%21.782178%21.8%6621.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.443385%19.443385%19.4%51019.131504%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 Green Lane, selected other county subdivisions in the Northeast, and entities that contain Green Lane
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonMontgomery CountyMontgomeryTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CityPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaSyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochester207600Tract 207600Town of IslipZIP Code 18054ZIP 18054Town of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellUpper Perkiomen School DistrictUpper PerkiomenManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonGreen LaneGreen LanePaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.616775%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%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.292246%4.292246%4.3%176,665177k4.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.516203%2.516203%2.5%662.384356%2.384356%2.4%5,304312.384063%2.384063%2.4%732.259902%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%1,376361.927680%1.927680%1.9%3061.813278%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%636490.660066%0.660066%0.7%20.660066%0.660066%0.7%20.572354%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 Green Lane, selected other county subdivisions in the Northeast, and entities that contain Green Lane
Female
Male
0x2x4xFM#Green LaneGreen LaneTract 207600ZIP 18054StamfordGreenburghSpringfieldNewarkUpper PerkiomenGreeceRamapoBrookhavenBridgeportMontgomeryNew BedfordWorcesterUnited StatesTown of IslipPhiladelphiaManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x3.485298x3.485298x3.49x2.522%2.52%8.789%8.79%-1.000000x-1.000000x2.725864x2.725864x2.73x2.809%2.81%7.658%7.66%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.150977x1.150977x1.15x7.175%7.18%8.258%8.26%-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%48-1.302480x-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 Green Lane, selected other county subdivisions in the Northeast, and entities that contain Green Lane
Female
Male
0x5x10xFM#Green LaneGreen LaneTract 207600LakewoodAllentownUpper PerkiomenToms RivZIP 18054WoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayMontgomeryGreenburghManchesterPennsylvaniaPhiladelphiaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x5.935746x5.935746x5.94x0.709%0.71%4.210%4.21%-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-1.000000x1.908277x1.908277x1.91x1.340%1.34%2.557%2.56%-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.831780x1.831780x1.83x1.672%1.67%3.063%3.06%-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-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Green Lane to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Green Lane. 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 Green Lane, selected other county subdivisions in the United States, and entities that contain Green Lane
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 TarrantUpper Perkiomen School DistrictUpper PerkiomenGreen LaneGreen LaneMontgomery CountyMontgomery207600Tract 207600PlanoZIP Code 18054ZIP 18054Seattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.325347%10.325347%10.3%424,982425k10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.698123%7.698123%7.7%1,2227.260726%7.260726%7.3%227.260726%7.260726%7.3%226.097012%6.097012%6.1%34,80434.8k5.756767%5.756767%5.8%1515.714681%5.714681%5.7%20,64420.6k495.290660%5.290660%5.3%1624.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Green Lane, selected other county subdivisions in the United States, and entities that contain Green Lane
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleMontgomery CountyMontgomeryBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiZIP Code 18054ZIP 18054Upper Perkiomen School DistrictUpper PerkiomenFort WorthSouthwest DallasSW DallasMilwaukeeFresnoGreen LaneGreen LaneLas VegasEl Paso207600Tract 207600BronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k847.457330%47.457330%47.5%270,904271k46.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1735.513094%35.513094%35.5%1,461,6871.46M34.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.734814%25.734814%25.7%78825.626811%25.626811%25.6%4,06824.665414%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%94,05694.1k4421.782178%21.782178%21.8%6621.782178%21.782178%21.8%6621.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.443385%19.443385%19.4%51019.131504%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 Green Lane, selected other county subdivisions in the United States, and entities that contain Green Lane
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleMontgomery CountyMontgomerySan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE Tarrant207600Tract 207600East San Gabriel ValleyE San Gabriel VlyZIP Code 18054ZIP 18054OntarioFort WorthLas VegasMilwaukeeUpper Perkiomen School DistrictUpper PerkiomenSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitGreen LaneGreen Lane12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.616775%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%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.292246%4.292246%4.3%176,665177k4.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.516203%2.516203%2.5%662.484535%2.484535%2.5%15,54715.5k402.384063%2.384063%2.4%732.324315%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%7,455441.927680%1.927680%1.9%3061.807306%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%5,693500.660066%0.660066%0.7%20.660066%0.660066%0.7%2
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 Green Lane, selected other county subdivisions in the United States, and entities that contain Green Lane
Female
Male
0x2x4xFM#Green LaneGreen LaneTract 207600ZIP 180541, CharlotteDetroitBaltimoreTulsaSW DallasUpper PerkiomenFresnoMilwaukeeMontgomeryUnited 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 DiegoSan FranciscoEl Paso-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x5.735849x5.735849x5.74x2.083%2.08%11.950%11.9%-1.000000x-1.000000x3.485298x3.485298x3.49x2.522%2.52%8.789%8.79%-1.000000x-1.000000x2.725864x2.725864x2.73x2.809%2.81%7.658%7.66%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.150977x1.150977x1.15x7.175%7.18%8.258%8.26%-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%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Green Lane, selected other county subdivisions in the United States, and entities that contain Green Lane
Female
Male
0x5x10xFM#Green LaneGreen LaneTract 207600El PasoSalt Lk CityUpper PerkiomenZIP 18054PlanoTulsaAlbuquerqueMontgomeryNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisLas VegasPhiladelphiaSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.258%1.26%-1.000000x-1.000000x5.935746x5.935746x5.94x0.709%0.71%4.210%4.21%-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-1.000000x1.908277x1.908277x1.91x1.340%1.34%2.557%2.56%-1.000000x-1.000000x1.831780x1.831780x1.83x1.672%1.67%3.063%3.06%-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-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Montgomery
Metro Area:
Philadelphia Area
Borough:
Green Lane
ZIP Code:
18054
Unified School District:
Upper Perkiomen
Congressional District:
PA-8
State Senate District:
PA-24
State House District:
PA-147
Neighboring Townships:
Marlborough, Upper Frederick
Nearby Townships:
Franconia, Lower Frederick, New Hanover, Salford, Upper Hanover, Upper Salford