Educational Attainment in the Montgomery Township, Franklin County, Pennsylvania (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Franklin County and the Montgomery Township
Montgomery Township
Franklin County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma224.420718%28.001552%24.420718%24.4%1,07558.178101%58.543624%58.178101%58.2%2,56117.401181%13.454824%17.401181%17.4%766
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 Franklin County at large.
Scope: population of Franklin County and the Montgomery Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-12.787984%-12.787984%-12.8%24.421%24.4%28.002%28.0%-0.624360%-0.624360%-0.6%58.178%58.2%58.544%58.5%29.330425%29.330425%+29.3%17.401%17.4%13.455%13.5%
% percentage with given level in the Montgomery Township
ref. percentage with given level in Franklin 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 Franklin County and the Montgomery Township
Montgomery Township
Franklin County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.740867%00.681508%0.999177%0.681508%0.7%303.112222%5.917473%3.112222%3.1%13711.199455%12.397930%11.199455%11.2%4939.427533%7.946105%9.427533%9.4%41512.676056%15.413438%12.676056%12.7%55845.502045%43.130186%45.502045%45.5%2,00315.174920%9.441085%15.174920%15.2%6681.726488%3.278549%1.726488%1.7%760.499773%0.735190%0.499773%0.5%22
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 Franklin County at large.
Scope: population of Franklin County and the Montgomery Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.741%0.74%-31.793012%-31.793012%-31.8%0.682%0.68%0.999%1.00%-47.406240%-47.406240%-47.4%3.112%3.11%5.917%5.92%-9.666734%-9.666734%-9.7%11.199%11.2%12.398%12.4%18.643448%18.643448%+18.6%9.428%9.43%7.946%7.95%-17.759707%-17.759707%-17.8%12.676%12.7%15.413%15.4%5.499300%5.499300%+5.5%45.502%45.5%43.130%43.1%60.732794%60.732794%+60.7%15.175%15.2%9.441%9.44%-47.339875%-47.339875%-47.3%1.726%1.73%3.279%3.28%-32.021247%-32.021247%-32.0%0.500%0.50%0.735%0.74%
% percentage with given level in the Montgomery Township
ref. percentage with given level in Franklin 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 Franklin County and the Montgomery Township
More Females More Males
Franklin County
Montgomery Township
40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-45.831082%-16.908727%-45.831082%46%29.304%29.3%20.094%20.1%8.712343%3.224869%8.712343%9%55.609%55.6%60.454%60.5%28.929097%20.353889%28.929097%29%15.087%15.1%19.452%19.5%
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 Franklin County and the Montgomery Township
More Females More Males
Franklin County
Montgomery Township
1,000%500%0%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None15.865797%66.234168%15.865797%16%0.629%0.63%0.728%0.73%-78.876683%-29.215495%-78.876683%79%4.062%4.06%2.271%2.27%-16.113857%-8.820046%-16.113857%16%12.089%12.1%10.411%10.4%-87.380970%-39.249318%-87.380970%87%12.524%12.5%6.684%6.68%-1.659146%7.589668%7.589668%8%12.186%12.2%13.111%13.1%9.027392%5.016616%9.027392%9%43.424%43.4%47.344%47.3%59.040991%26.999972%59.040991%59%11.557%11.6%18.380%18.4%-130.239845%-130.239845%130%1.998077%2.466%2.47%1.071%1.07%-1,000.000000%-1,000.000000%> 1000%26.616829%1.064%1.06%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Franklin County and the Montgomery Township
Montgomery Township
Franklin County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-342.647059%9.230492%2.647059%2.6%271,02011.847826%11.638926%11.847826%11.8%2181,8404.312668%13.547671%4.312668%4.3%3274227.000000%17.845156%27.000000%27.0%216800
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 Franklin County at large.
Scope: population of Franklin County and the Montgomery Township
60%40%20%0%20%40%%ref.65+45-6435-4425-34-71.322668%-71.322668%71.3%2.647%2.65%9.230%9.23%1.794840%1.794840%1.8%11.848%11.8%11.639%11.6%-68.166716%-68.166716%68.2%4.313%4.31%13.548%13.5%51.301567%51.301567%51.3%27.000%27.0%17.845%17.8%
% percentage in the Montgomery Township with a Bachelor's degree
ref percentage in Franklin 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 Franklin County and the Montgomery Township
More Females More Males
Franklin County
Montgomery Township
0%500%1,000%FM65+45-6435-4425-341,000.000000%37.730086%1,000.000000%> 1000%0.000%0%4.704%4.70%-53.155064%-53.155064%53.2%4.022522%14.332%14.3%9.358%9.36%-32.553606%-60.699551%-32.553606%32.6%4.971%4.97%3.750%3.75%-7.886642%-41.583275%-7.886642%7.9%28.134%28.1%26.077%26.1%
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 Franklin County and the Montgomery Township
Montgomery Township
Franklin County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$67,833.000000$61,848.000000$67,833.000000$67.8k1673.794%3.79%$56,250.000000$46,985.000000$56,250.000000$56.3k49311.199%11.2%$42,813.000000$37,878.000000$42,813.000000$42.8k97322.104%22.1%$35,817.000000$31,898.000000$35,817.000000$35.8k2,00345.502%45.5%$26,568.000000$26,171.000000$26,568.000000$26.6k76617.401%17.4%$37,344.000000$36,379.000000$37,344.000000$37.3k4,402100.000%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 Franklin County and the Montgomery Township
Female Male
Franklin County
Montgomery Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeNo H.S. Diploma2Total$-61,397.000000$-12,930.000000$-57,923.000000$-74,327.000000$74.3k$61,397.000000$57,923.000000$11,907.000000$61,397.000000$61.4k9770$-43,309.000000$-41,086.000000$-43,309.000000$43.3k$43,309.000000$19,830.000000$41,086.000000$14,783.000000$63,139.000000$63.1k250243$-29,781.000000$-31,293.000000$-29,781.000000$29.8k$29,781.000000$20,169.000000$31,293.000000$15,730.000000$49,950.000000$50.0k511462$-26,031.000000$-16,691.000000$-26,031.000000$26.0k$26,031.000000$4,111.000000$16,691.000000$16,891.000000$30,142.000000$30.1k312454$-30,951.000000$-29,554.000000$-30,951.000000$31.0k$30,951.000000$11,098.000000$29,554.000000$12,540.000000$42,049.000000$42.0k2,0682,334
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Franklin County and the Montgomery Township
Montgomery Township
Franklin County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%27.500000%0100.000000%72.500000%100.000000%100.0%210.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Franklin County and the Montgomery Township
Montgomery Township
Franklin County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma380.445969%83.119392%80.445969%80.4%46969.582245%78.466533%69.582245%69.6%53367.458746%74.710639%67.458746%67.5%1,02266.602317%55.905237%66.602317%66.6%345
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Franklin County and the Montgomery Township
Female Male
Franklin County
Montgomery Township
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%15%MFWhite1Black-15.514669%-11.526498%-15.514669%15.5%15.514669%4.062735%11.526498%2.659299%19.577404%19.6%454312-0.000000%-11.245791%0.000000%0.0%0.000000%0.000000%11.245791%4.390797%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Franklin County and the Montgomery Township
Female Male
Franklin County
Montgomery Township
Shaded bar tips show excess over facing bar.
20%10%0%10%MFWhite1Black-13.497197%-3.757900%-19.478653%-1.284793%-17.255097%17.3%13.497197%19.478653%13.497197%13.5%313347-0.000000%-19.159456%-4.746268%0.000000%0.0%0.000000%0.000000%19.159456%0.000000%0.0%00
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 Chambersburg Area

There are 22 county subdivisions in the Chambersburg Area. This section compares the Montgomery Township to all of the county subdivisions in the Chambersburg Area and to those entities that contain or substantially overlap with the Montgomery Township.

No H.S. Diploma by County Subdivision#16

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Montgomery Township, selected other county subdivisions in the Chambersburg Area, and entities that contain the Montgomery Township
0%5%10%15%20%Count#Fannett TownshipFannettLurgan TownshipLurganQuincy TownshipQuincyOrrstownMontgomery TownshipMontgomeryMercersburgChambersburg011600Tract 011600Metal TownshipMetalTuscarora School DistrictTuscaroraPeters TownshipPetersGreene TownshipGrnSt. Thomas TownshipSt. ThomasChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinAntrim TownshipAntrimSouthampton TownshipSouthamptonWaynesboroUnited States of AmericaUnited StatesMiddle AtlanticNortheastHamilton TownshipHamiltonGreencastleMont AltoPennsylvaniaWashington TownshipWashingtonLetterkenny TownshipLetterkennyWarren TownshipWarrenGuilford TownshipGuilfordShippensburg24.823605%24.823605%24.8%387123.136977%23.136977%23.1%326220.196789%20.196789%20.2%780317.679558%17.679558%17.7%32417.401181%17.401181%17.4%766517.195767%17.195767%17.2%195617.056609%17.056609%17.1%2,311717.014861%17.014861%17.0%79016.333066%16.333066%16.3%204815.465116%15.465116%15.5%1,99514.556755%14.556755%14.6%445914.510475%14.510475%14.5%1,7801013.895721%13.895721%13.9%5651113.454824%13.454824%13.5%14,22014.2k13.454824%13.454824%13.5%14,22014.2k13.422171%13.422171%13.4%1,3901213.115955%13.115955%13.1%7161313.065191%13.065191%13.1%9681413.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.552028%11.552028%11.6%9171511.107156%11.107156%11.1%3121610.894942%10.894942%10.9%1121710.459911%10.459911%10.5%925,686926k10.323383%10.323383%10.3%1,079189.969231%9.969231%10.0%162199.958506%9.958506%10.0%24206.646302%6.646302%6.6%718213.725962%3.725962%3.7%3122
Count number of people in category
# rank of county subdivision out of 22 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#17

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in the Chambersburg Area, and entities that contain the Montgomery Township
0%10%20%30%Count#ShippensburgNortheastMiddle AtlanticGuilford TownshipGuilfordUnited States of AmericaUnited StatesPennsylvaniaGreencastleGreene TownshipGrnWashington TownshipWashingtonChambersburgWarren TownshipWarrenMercersburgChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinHamilton TownshipHamiltonAntrim TownshipAntrimWaynesboroSouthampton TownshipSouthamptonSt. Thomas TownshipSt. Thomas011600Tract 011600Montgomery TownshipMontgomeryLetterkenny TownshipLetterkennyTuscarora School DistrictTuscaroraFannett TownshipFannettQuincy TownshipQuincyMetal TownshipMetalLurgan TownshipLurganMont AltoOrrstownPeters TownshipPeters38.942308%38.942308%38.9%324134.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M32.796445%32.796445%32.8%3,543230.315023%30.315023%30.3%64,767,78764.8M29.333279%29.333279%29.3%2,595,9502.60M25.667497%25.667497%25.7%721323.526535%23.526535%23.5%2,886423.268274%23.268274%23.3%2,432521.138091%21.138091%21.1%2,864620.746888%20.746888%20.7%50720.282187%20.282187%20.3%230820.055447%20.055447%20.1%21,19621.2k20.055447%20.055447%20.1%21,19621.2k18.972033%18.972033%19.0%1,506916.917729%16.917729%16.9%1,7521016.898367%16.898367%16.9%1,2521116.101850%16.101850%16.1%8791215.961633%15.961633%16.0%6491315.291837%15.291837%15.3%71014.993185%14.993185%15.0%6601413.661538%13.661538%13.7%2221513.519380%13.519380%13.5%1,74413.021167%13.021167%13.0%2031611.910927%11.910927%11.9%4601711.689351%11.689351%11.7%1461810.361959%10.361959%10.4%146199.824903%9.824903%9.8%101208.287293%8.287293%8.3%15215.070330%5.070330%5.1%15522
Count number of people in category
# rank of county subdivision out of 22 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#18

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Montgomery Township, selected other county subdivisions in the Chambersburg Area, and entities that contain the Montgomery Township
0%1%2%3%4%5%Count#ShippensburgNortheastGreencastleMiddle AtlanticGuilford TownshipGuilfordUnited States of AmericaUnited StatesPennsylvaniaGreene TownshipGrnMercersburgAntrim TownshipAntrimMont AltoSt. Thomas TownshipSt. ThomasChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinSouthampton TownshipSouthamptonChambersburgWashington TownshipWashingtonWaynesboroTuscarora School DistrictTuscaroraLurgan TownshipLurganLetterkenny TownshipLetterkennyQuincy TownshipQuincyMontgomery TownshipMontgomery011600Tract 011600Metal TownshipMetalFannett TownshipFannettHamilton TownshipHamiltonPeters TownshipPetersWarren TownshipWarrenOrrstown5.288462%5.288462%5.3%4414.085016%4.085016%4.1%1,578,2061.58M3.915984%3.915984%3.9%11023.884861%3.884861%3.9%1,105,8831.11M3.665648%3.665648%3.7%39633.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k2.796120%2.796120%2.8%34342.557319%2.557319%2.6%2951.998841%1.998841%2.0%20761.945525%1.945525%1.9%2071.869159%1.869159%1.9%7681.740044%1.740044%1.7%1,8391.740044%1.740044%1.7%1,8391.685290%1.685290%1.7%9291.682781%1.682781%1.7%228101.148106%1.148106%1.1%120111.093265%1.093265%1.1%81121.046512%1.046512%1.0%1350.993612%0.993612%1.0%14130.738462%0.738462%0.7%12140.725013%0.725013%0.7%28150.681508%0.681508%0.7%30160.646134%0.646134%0.6%300.400320%0.400320%0.4%5170.256575%0.256575%0.3%4180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%022
Count number of people in category
# rank of county subdivision out of 22 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#19

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the Chambersburg Area, and entities that contain the Montgomery Township
Female
Male
1x0x1x2xFM#St. ThomasWaynesboroMetalQuincyTuscaroraAntrimMercersburgLurganGrnPetersMontgomeryTract 011600FannettLetterkennyHamiltonSouthamptonWashingtonChambersburgFranklinUnited StatesPennsylvaniaNortheastWarrenMiddle AtlanticMont AltoShippensburgGuilfordOrrstownChambersburgGreencastle-1.000000x-1.000000x2.260748x2.260748x2.26x8.451%8.45%19.105%19.1%1-1.000000x-1.000000x1.658296x1.658296x1.66x10.102%10.1%16.752%16.8%2-1.000000x-1.000000x1.614828x1.614828x1.61x12.706%12.7%20.517%20.5%3-1.000000x-1.000000x1.538830x1.538830x1.54x15.917%15.9%24.494%24.5%4-1.000000x-1.000000x1.509933x1.509933x1.51x12.266%12.3%18.521%18.5%-1.000000x-1.000000x1.456338x1.456338x1.46x10.893%10.9%15.863%15.9%5-1.000000x-1.000000x1.341601x1.341601x1.34x14.771%14.8%19.817%19.8%6-1.000000x-1.000000x1.330491x1.330491x1.33x19.699%19.7%26.210%26.2%7-1.000000x-1.000000x1.316651x1.316651x1.32x12.572%12.6%16.552%16.6%8-1.000000x-1.000000x1.306608x1.306608x1.31x12.638%12.6%16.513%16.5%9-1.000000x-1.000000x1.289291x1.289291x1.29x15.087%15.1%19.452%19.5%10-1.000000x-1.000000x1.281910x1.281910x1.28x14.803%14.8%18.976%19.0%-1.000000x-1.000000x1.276326x1.276326x1.28x21.921%21.9%27.979%28.0%11-1.000000x-1.000000x1.260377x1.260377x1.26x8.838%8.84%11.139%11.1%12-1.000000x-1.000000x1.258918x1.258918x1.26x10.324%10.3%12.997%13.0%13-1.000000x-1.000000x1.245347x1.245347x1.25x11.723%11.7%14.599%14.6%14-1.000000x-1.000000x1.227938x1.227938x1.23x9.315%9.31%11.438%11.4%15-1.000000x-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.060845x1.060845x1.06x9.649%9.65%10.236%10.2%16-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.024912x1.024912x1.02x10.772%10.8%11.040%11.0%17-1.025816x-1.025816x1.03x1.000000x1.000000x3.769%3.77%3.675%3.67%18-1.097727x-1.097727x1.10x1.000000x1.000000x6.952%6.95%6.333%6.33%19-1.131976x-1.131976x1.13x1.000000x1.000000x18.627%18.6%16.456%16.5%20-1.383293x-1.383293x1.38x1.000000x1.000000x19.504%19.5%14.099%14.1%21-1.521501x-1.521501x1.52x1.000000x1.000000x13.205%13.2%8.679%8.68%22
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 22 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#20

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the Chambersburg Area, and entities that contain the Montgomery Township
Female
Male
10x5x0x5x10xFM#MetalAntrimGreencastleChambersburgGuilfordWashingtonPennsylvaniaChambersburgFranklinUnited StatesMiddle AtlanticNortheastSouthamptonGrnLurganTract 011600MontgomeryQuincyMercersburgLetterkennyMont AltoShippensburgTuscaroraWaynesboroSt. ThomasFannett-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.862%0.86%1-1.000000x-1.000000x4.742705x4.742705x4.74x0.688%0.69%3.264%3.26%2-1.000000x-1.000000x3.086534x3.086534x3.09x1.991%1.99%6.144%6.14%3-1.000000x-1.000000x2.966259x2.966259x2.97x0.890%0.89%2.641%2.64%4-1.000000x-1.000000x2.002483x2.002483x2.00x2.452%2.45%4.909%4.91%5-1.000000x-1.000000x1.715829x1.715829x1.72x0.857%0.86%1.470%1.47%6-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-1.000000x-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.324351x1.324351x1.32x1.456%1.46%1.929%1.93%7-1.000000x-1.000000x1.262315x1.262315x1.26x2.479%2.48%3.130%3.13%8-1.000000x-1.000000x1.191756x1.191756x1.19x0.902%0.90%1.075%1.08%9-1.000000x-1.000000x1.159441x1.159441x1.16x0.596%0.60%0.691%0.69%-1.000000x-1.000000x1.158658x1.158658x1.16x0.629%0.63%0.728%0.73%10-1.149076x-1.149076x1.15x1.000000x1.000000x0.775%0.78%0.675%0.67%11-1.514123x-1.514123x1.51x1.000000x1.000000x3.056%3.06%2.018%2.02%12-1.934625x-1.934625x1.93x1.000000x1.000000x0.969%0.97%0.501%0.50%13-1.973070x-1.973070x1.97x1.000000x1.000000x2.513%2.51%1.274%1.27%14-2.014498x-2.014498x2.01x1.000000x1.000000x6.874%6.87%3.412%3.41%15-2.400368x-2.400368x2.40x1.000000x1.000000x1.492%1.49%0.621%0.62%-3.264438x-3.264438x3.26x1.000000x1.000000x1.582%1.58%0.485%0.48%16-5.065547x-5.065547x5.07x1.000000x1.000000x3.169%3.17%0.626%0.63%17-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.493%0.49%0.000%0%18
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 18 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

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

No H.S. Diploma by County Subdivision#21

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Montgomery Township, selected other county subdivisions in Pennsylvania, and entities that contain the Montgomery Township
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownMontgomery TownshipMontgomeryPhiladelphia011600Tract 011600Wilkes-BarreTuscarora School DistrictTuscaroraScrantonChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.401181%17.401181%17.4%76617.390838%17.390838%17.4%180,039180k817.014861%17.014861%17.0%79016.790421%16.790421%16.8%4,319915.465116%15.465116%15.5%1,99515.146168%15.146168%15.1%7,5541013.454824%13.454824%13.5%14,22014.2k13.454824%13.454824%13.5%14,22014.2k13.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.248333%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%1,193276.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#22

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in Pennsylvania, and entities that contain the Montgomery Township
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentown011600Tract 011600Montgomery TownshipMontgomeryBristol TownshipBristolTuscarora School DistrictTuscaroraYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424020.055447%20.055447%20.1%21,19621.2k20.055447%20.055447%20.1%21,19621.2k19.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4615.291837%15.291837%15.3%71014.993185%14.993185%15.0%66014.443730%14.443730%14.4%5,3934713.519380%13.519380%13.5%1,74411.708059%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#23

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Montgomery Township, selected other county subdivisions in Pennsylvania, and entities that contain the Montgomery Township
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinAllentownEriePlumNorristownFalls TownshipFallsTuscarora School DistrictTuscaroraRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkMontgomery TownshipMontgomery011600Tract 011600ChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.740044%1.740044%1.7%1,8391.740044%1.740044%1.7%1,8391.607050%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%272431.046512%1.046512%1.0%1351.025898%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%209480.681508%0.681508%0.7%300.646134%0.646134%0.6%300.549179%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#24

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in Pennsylvania, and entities that contain the Montgomery Township
Female
Male
2x1x0x1x2xFM#RadnorShalerTuscaroraAltoonaMt LebanonCheltenhamMontgomeryTract 011600FallsHempfieldBristolChesterChambersburgFranklinWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.509933x1.509933x1.51x12.266%12.3%18.521%18.5%-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-1.000000x1.289291x1.289291x1.29x15.087%15.1%19.452%19.5%-1.000000x-1.000000x1.281910x1.281910x1.28x14.803%14.8%18.976%19.0%-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-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%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#25

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in Pennsylvania, and entities that contain the Montgomery Township
Female
Male
2x0x2x4xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordChambersburgFranklinManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieTract 011600MontgomeryBensalemWarminsterPlumBristolPenn HlsLancasterNorristownTuscarora-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%21-1.000000x-1.000000x1.837949x1.837949x1.84x4.437%4.44%8.155%8.15%22-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%26-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%27-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%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-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-1.000000x-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-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-1.000000x1.159441x1.159441x1.16x0.596%0.60%0.691%0.69%-1.000000x-1.000000x1.158658x1.158658x1.16x0.629%0.63%0.728%0.73%-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50-2.400368x-2.400368x2.40x1.000000x1.000000x1.492%1.49%0.621%0.62%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

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

No H.S. Diploma by County Subdivision#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Montgomery Township, selected other county subdivisions in the Northeast, and entities that contain the Montgomery Township
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoMontgomery TownshipMontgomeryPhiladelphia011600Tract 011600YonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTuscarora School DistrictTuscaroraTown of IslipBostonJersey CityChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.401181%17.401181%17.4%76617.390838%17.390838%17.4%180,039180k2017.014861%17.014861%17.0%79016.804756%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%18,48418.5k2515.465116%15.465116%15.5%1,99514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.454824%13.454824%13.5%14,22014.2k13.454824%13.454824%13.5%14,22014.2k13.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in the Northeast, and entities that contain the Montgomery Township
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentown011600Tract 011600Town of WaterburyWaterburyMontgomery TownshipMontgomeryNewarkTuscarora School DistrictTuscaroraElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3820.055447%20.055447%20.1%21,19621.2k20.055447%20.055447%20.1%21,19621.2k19.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.291837%15.291837%15.3%71015.070917%15.070917%15.1%10,47710.5k4714.993185%14.993185%15.0%66013.654578%13.654578%13.7%24,29624.3k4813.519380%13.519380%13.5%1,74411.763247%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#28

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Montgomery Township, selected other county subdivisions in the Northeast, and entities that contain the Montgomery Township
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethTuscarora School DistrictTuscaroraBrocktonMontgomery TownshipMontgomery011600Tract 011600Paterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.740044%1.740044%1.7%1,8391.740044%1.740044%1.7%1,8391.680358%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%848481.046512%1.046512%1.0%1351.035679%1.035679%1.0%636490.681508%0.681508%0.7%300.646134%0.646134%0.6%300.572354%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#29

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the Northeast, and entities that contain the Montgomery Township
Female
Male
1x0x1xFM#TuscaroraStamfordMontgomeryTract 011600GreenburghSpringfieldChambersburgFranklinNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.509933x1.509933x1.51x12.266%12.3%18.521%18.5%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.289291x1.289291x1.29x15.087%15.1%19.452%19.5%-1.000000x-1.000000x1.281910x1.281910x1.28x14.803%14.8%18.976%19.0%-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-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%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#30

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the Northeast, and entities that contain the Montgomery Township
Female
Male
2x1x0x1x2xFM#LakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPennsylvaniaChambersburgFranklinElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityTract 011600MontgomeryBabylonNew HvnYonkersNewarkWorcesterBrocktonTuscarora-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%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-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-1.000000x-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-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-1.000000x1.159441x1.159441x1.16x0.596%0.60%0.691%0.69%-1.000000x-1.000000x1.158658x1.158658x1.16x0.629%0.63%0.728%0.73%-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%50-2.400368x-2.400368x2.40x1.000000x1.000000x1.492%1.49%0.621%0.62%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#31

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeeMontgomery TownshipMontgomeryPhiladelphiaOntario011600Tract 011600ChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasTuscarora School DistrictTuscaroraPhoenixBostonSacramentoOrlandoAustinDenverChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle 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%63,80063.8k1917.401181%17.401181%17.4%76617.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2117.014861%17.014861%17.0%79016.905373%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%198,651199k2515.465116%15.465116%15.5%1,99514.952077%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%63,86563.9k3113.454824%13.454824%13.5%14,22014.2k13.454824%13.454824%13.5%14,22014.2k13.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#32

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinBronxSan Bernardino011600Tract 011600Montgomery TownshipMontgomerySan Antonio CentralSan Antonio CntrlDetroitTuscarora School DistrictTuscarora60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4620.055447%20.055447%20.1%21,19621.2k20.055447%20.055447%20.1%21,19621.2k19.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.291837%15.291837%15.3%71014.993185%14.993185%15.0%66014.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5013.519380%13.519380%13.5%1,744
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#33

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoChambersburg and Waynesboro Metro AreaChambersburgFranklin CountyFranklinSouthwest DallasSW DallasBronxDetroitTuscarora School DistrictTuscaroraMontgomery TownshipMontgomery011600Tract 01160012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.740044%1.740044%1.7%1,8391.740044%1.740044%1.7%1,8391.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.046512%1.046512%1.0%1350.681508%0.681508%0.7%300.646134%0.646134%0.6%30
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#34

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
Female
Male
1x0x1xFM#TuscaroraMontgomery1, CharlotteTract 011600DetroitChambersburgFranklinBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan 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-1.000000x1.509933x1.509933x1.51x12.266%12.3%18.521%18.5%-1.000000x-1.000000x1.289291x1.289291x1.29x15.087%15.1%19.452%19.5%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.281910x1.281910x1.28x14.803%14.8%18.976%19.0%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.203539x1.203539x1.20x12.254%12.3%14.748%14.7%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%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#35

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
Female
Male
2x1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisChambersburgFranklinLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodTract 011600MontgomeryDenverSan FranciscoDetroitTuscarora-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%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-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-1.000000x-1.000000x1.576855x1.576855x1.58x1.362%1.36%2.147%2.15%-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.159441x1.159441x1.16x0.596%0.60%0.691%0.69%-1.000000x-1.000000x1.158658x1.158658x1.16x0.629%0.63%0.728%0.73%-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-2.400368x-2.400368x2.40x1.000000x1.000000x1.492%1.49%0.621%0.62%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Pennsylvania
County:
Franklin
Metro Area:
Chambersburg Area
ZIP Codes:
17225, 17236
Unified School District:
Tuscarora
Congressional District:
PA-9
State Senate District:
PA-30
State House District:
PA-78
Neighboring Boroughs:
Mercersburg
Neighboring Districts:
4, Clear Spring, 15, Indian Spring, 23, Wilsons
Neighboring Townships:
Antrim, Peters, Warren
Nearby Districts:
13, Maugansville, 21, Hagerstown, 24, Cedar Lawn, 25, Hagerstown, 27, Fountain Head
Nearby Townships:
Ayr, St. Thomas, Thompson