Educational Attainment in the Monroe Township, Cumberland County, Pennsylvania (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Cumberland County and the Monroe Township
Monroe Township
Cumberland County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma243.627451%41.619772%43.627451%43.6%2,04751.023018%49.751666%51.023018%51.0%2,3945.349531%8.628561%5.349531%5.3%251
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 Cumberland County at large.
Scope: population of Cumberland County and the Monroe Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma24.823858%4.823858%+4.8%43.627%43.6%41.620%41.6%2.555395%2.555395%+2.6%51.023%51.0%49.752%49.8%-38.002050%-38.002050%-38.0%5.350%5.35%8.629%8.63%
% percentage with given level in the Monroe Township
ref. percentage with given level in Cumberland 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 Cumberland County and the Monroe Township
Monroe Township
Cumberland County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.619778%1.315401%1.619778%1.6%762.834612%2.045066%2.834612%2.8%1339.548167%9.489766%9.548167%9.5%44818.350384%20.792780%18.350384%18.4%86111.274510%7.976759%11.274510%11.3%52918.542199%15.860320%18.542199%18.5%87032.480818%33.891347%32.480818%32.5%1,5244.838022%6.058515%4.838022%4.8%2270.426257%1.840972%0.426257%0.4%200.085251%0.729075%0.085251%0.1%4
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 Cumberland County at large.
Scope: population of Cumberland County and the Monroe Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None23.139472%23.139472%+23.1%1.620%1.62%1.315%1.32%38.607381%38.607381%+38.6%2.835%2.83%2.045%2.05%0.615413%0.615413%+0.6%9.548%9.55%9.490%9.49%-11.746368%-11.746368%-11.7%18.350%18.4%20.793%20.8%41.341984%41.341984%+41.3%11.275%11.3%7.977%7.98%16.909368%16.909368%+16.9%18.542%18.5%15.860%15.9%-4.161913%-4.161913%-4.2%32.481%32.5%33.891%33.9%-20.145079%-20.145079%-20.1%4.838%4.84%6.059%6.06%-76.846066%-76.846066%-76.8%0.426%0.43%1.841%1.84%-88.306889%-88.306889%-88.3%0.085%0.09%0.729%0.73%
% percentage with given level in the Monroe Township
ref. percentage with given level in Cumberland 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 Cumberland County and the Monroe Township
More Females More Males
Cumberland County
Monroe Township
0%20%40%60%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-5.437510%-5.437510%5%1.439730%44.774%44.8%42.465%42.5%-1.231733%-2.416704%-1.231733%1%51.333%51.3%50.708%50.7%75.349096%7.106310%75.349096%75%3.893%3.89%6.827%6.83%
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 Cumberland County and the Monroe Township
More Females More Males
Cumberland County
Monroe Township
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None12.733171%101.348583%12.733171%13%1.523%1.52%1.717%1.72%-12.868415%-12.868415%13%62.764285%3.005%3.00%2.662%2.66%-14.749939%-4.359435%-14.749939%15%10.199%10.2%8.888%8.89%13.705009%3.313303%13.705009%14%17.182%17.2%19.536%19.5%-33.167066%-21.623154%-33.167066%33%12.865%12.9%9.661%9.66%-1.318106%-2.311148%-1.318106%1%18.663%18.7%18.420%18.4%-1.182458%-2.466141%-1.182458%1%32.670%32.7%32.289%32.3%127.559958%15.198023%127.559958%128%2.962%2.96%6.741%6.74%-1,000.000000%-6.759094%-1,000.000000%> 1000%0.846%0.85%0.000%0%-22.025956%1.459854%1.459854%1%0.085%0.08%0.086%0.09%
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 Cumberland County and the Monroe Township
Monroe Township
Cumberland County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-349.677419%13.370527%9.677419%9.7%1051,08515.503876%20.492872%15.503876%15.5%3402,19325.743855%25.114217%25.743855%25.7%19977333.853354%27.149077%33.853354%33.9%217641
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 Cumberland County at large.
Scope: population of Cumberland County and the Monroe Township
20%10%0%10%20%%ref.65+45-6435-4425-34-27.621258%-27.621258%27.6%9.677%9.68%13.371%13.4%-24.345032%-24.345032%24.3%15.504%15.5%20.493%20.5%2.507100%2.507100%2.5%25.744%25.7%25.114%25.1%24.694310%24.694310%24.7%33.853%33.9%27.149%27.1%
% percentage in the Monroe Township with a Bachelor's degree
ref percentage in Cumberland 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 Cumberland County and the Monroe Township
More Females More Males
Cumberland County
Monroe Township
20%0%20%40%60%80%FM65+45-6435-4425-3495.904954%57.690272%95.904954%95.9%6.880%6.88%13.478%13.5%-3.036640%-8.393741%-3.036640%3.0%15.737%15.7%15.273%15.3%-32.473702%-10.290059%-32.473702%32.5%28.979%29.0%21.875%21.9%-8.258870%15.219129%15.219129%15.2%30.804%30.8%35.492%35.5%
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 Cumberland County and the Monroe Township
Monroe Township
Cumberland County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$66,429.000000$66,943.000000$66,429.000000$66.4k65714.003%14.0%$43,403.000000$52,442.000000$43,403.000000$43.4k86118.350%18.4%$44,985.000000$38,546.000000$44,985.000000$45.0k1,39929.817%29.8%$26,324.000000$30,582.000000$26,324.000000$26.3k1,52432.481%32.5%$41,823.000000$40,591.000000$41,823.000000$41.8k4,692100.000%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 Cumberland County and the Monroe Township
Female Male
Cumberland County
Monroe Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-52,135.000000$-56,310.000000$-52,135.000000$52.1k$52,135.000000$45,637.000000$56,310.000000$25,045.000000$97,772.000000$97.8k348309$-41,208.000000$-42,344.000000$-41,208.000000$41.2k$41,208.000000$9,019.000000$42,344.000000$19,603.000000$50,227.000000$50.2k406455$-38,355.000000$-32,221.000000$-38,355.000000$38.4k$38,355.000000$22,739.000000$32,221.000000$14,689.000000$61,094.000000$61.1k745654$-21,156.000000$-24,230.000000$-21,156.000000$21.2k$21,156.000000$11,790.000000$24,230.000000$11,791.000000$32,946.000000$32.9k772752$-18,833.000000$-15,523.000000$-18,833.000000$18.8k$18,833.000000$21,734.000000$15,523.000000$10,582.000000$40,567.000000$40.6k92159$-36,944.000000$-33,002.000000$-36,944.000000$36.9k$36,944.000000$7,724.000000$33,002.000000$14,542.000000$44,668.000000$44.7k2,3632,329
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 Cumberland County and the Monroe Township
Monroe Township
Cumberland County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma389.881832%85.306536%89.881832%89.9%1,21775.476839%77.827986%75.476839%75.5%83174.645030%73.210931%74.645030%74.6%73657.228916%54.341022%57.228916%57.2%95
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 Cumberland County and the Monroe Township
Female Male
Cumberland County
Monroe Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1BlackHispanic2-3.801794%-7.718061%-3.801794%3.8%3.801794%3.099305%7.718061%0.410310%6.901099%6.9%15789-100.000000%-8.411215%-100.000000%100.0%100.000000%0.000000%8.411215%8.140940%100.000000%100.0%23-0.000000%-16.902145%0.000000%0.0%0.000000%0.000000%16.902145%8.066115%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Cumberland County and the Monroe Township
Female Male
Cumberland County
Monroe Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackHispanic2-32.208458%-32.374419%-32.208458%32.2%32.208458%1.373960%32.374419%2.837599%33.582418%33.6%764754-0.000000%-12.429731%-11.759383%0.000000%0.0%0.000000%0.000000%12.429731%0.000000%0.0%00-0.000000%-12.738045%-7.408475%0.000000%0.0%0.000000%0.000000%12.738045%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 Harrisburg Area

There are 103 county subdivisions in the Harrisburg Area. This section compares the Monroe Township to the 50 most populous county subdivisions in the Harrisburg Area and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 2,275.

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 the Monroe Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Monroe Township
0%5%10%15%20%Count#MillersburgShippensburgHarrisburgHopewell TownshipHopewellSouthampton TownshipSouthamptonSaville TownshipSavilleNorth Newton TownshipN NewtonLondonderry TownshipLondonderryShippensburg TownshipShippensburgUpper Paxton TownshipUpper PaxtonPenn TownshipCarroll TownshipCarrollMiddletownUnited States of AmericaUnited StatesHighspireSteeltonMiddle AtlanticCentre TownshipCentreLower Swatara TownshipLower SwataraNortheastHalifax TownshipHalifaxSwatara TownshipSwataraEast Pennsboro TownshipE PennsboroMechanicsburgPennsylvaniaHarrisburg and Carlisle Metro AreaHarrisburgCarlisleWest Pennsboro TownshipW PennsboroLower Allen TownshipLower AllenMarysvilleCumberland CountyCumberlandWormleysburgWheatfield TownshipWheatfieldNorth Middleton TownshipN MiddletonPenn TownshipConewago TownshipConewagoPenbrookEast Hanover TownshipE HanoverRye TownshipDickinson TownshipDickinsonMiddle Paxton TownshipMiddle PaxtonSusquehanna TownshipSusquehannaMiddlesex TownshipMiddlesexNew CumberlandSouth Middleton TownshipS MiddletonLower Paxton TownshipLower PaxtonHummelstownHampden TownshipHampdenWest Hanover TownshipW HanoverCumberland Valley School DistrictCumberland Vly011700Tract 011700Monroe TownshipMonroeSouth Hanover TownshipS HanoverCamp HillLemoyneDerry TownshipDerrySilver Spring TownshipSilver SpgUpper Allen TownshipUpper Allen23.269755%23.269755%23.3%427121.739130%21.739130%21.7%580221.226461%21.226461%21.2%6,504320.625000%20.625000%20.6%363420.393683%20.393683%20.4%891519.730942%19.730942%19.7%308619.047619%19.047619%19.0%300718.588731%18.588731%18.6%706815.942029%15.942029%15.9%231915.924917%15.924917%15.9%5261015.283638%15.283638%15.3%3261114.539195%14.539195%14.5%5491213.042755%13.042755%13.0%7841313.020590%13.020590%13.0%27,818,38027.8M12.935617%12.935617%12.9%2191412.597114%12.597114%12.6%4541512.313400%12.313400%12.3%3,505,1913.51M12.144009%12.144009%12.1%2261611.668092%11.668092%11.7%6821711.614335%11.614335%11.6%4,487,0854.49M11.277330%11.277330%11.3%2941811.215818%11.215818%11.2%1,9401911.122902%11.122902%11.1%1,6772010.557014%10.557014%10.6%7242110.459911%10.459911%10.5%925,686926k9.989724%9.989724%10.0%38,88738.9k9.860710%9.860710%9.9%1,161229.282088%9.282088%9.3%384239.039235%9.039235%9.0%1,304249.026258%9.026258%9.0%165258.628561%8.628561%8.6%14,62814.6k8.477666%8.477666%8.5%186268.182601%8.182601%8.2%190278.080439%8.080439%8.1%663288.004926%8.004926%8.0%195297.835821%7.835821%7.8%168307.696254%7.696254%7.7%150317.686965%7.686965%7.7%332327.525084%7.525084%7.5%135337.473118%7.473118%7.5%278347.194995%7.194995%7.2%276357.066200%7.066200%7.1%1,251366.827691%6.827691%6.8%359376.667898%6.667898%6.7%361386.350925%6.350925%6.4%704396.244529%6.244529%6.2%2,140405.996003%5.996003%6.0%180415.958474%5.958474%6.0%1,234425.914055%5.914055%5.9%417435.398685%5.398685%5.4%2,2585.349531%5.349531%5.3%2515.349531%5.349531%5.3%251445.336776%5.336776%5.3%248454.878466%4.878466%4.9%285464.331450%4.331450%4.3%138474.112245%4.112245%4.1%721483.708016%3.708016%3.7%414493.611921%3.611921%3.6%44650
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 the Monroe Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Monroe Township
0%10%20%30%40%50%Count#Derry TownshipDerryCamp HillHampden TownshipHampdenWormleysburgUpper Allen TownshipUpper AllenCumberland Valley School DistrictCumberland VlySouth Hanover TownshipS HanoverSilver Spring TownshipSilver SpgLower Paxton TownshipLower PaxtonConewago TownshipConewagoCarlisleSusquehanna TownshipSusquehannaNortheastEast Hanover TownshipE HanoverMiddle AtlanticCumberland CountyCumberlandWest Hanover TownshipW HanoverSouth Middleton TownshipS Middleton011700Tract 011700Monroe TownshipMonroeNew CumberlandHummelstownDickinson TownshipDickinsonMechanicsburgUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgLemoyneLower Allen TownshipLower AllenPennsylvaniaEast Pennsboro TownshipE PennsboroMiddlesex TownshipMiddlesexLower Swatara TownshipLower SwataraPenbrookNorth Middleton TownshipN MiddletonSwatara TownshipSwataraMiddle Paxton TownshipMiddle PaxtonShippensburgShippensburg TownshipShippensburgRye TownshipWest Pennsboro TownshipW PennsboroSouthampton TownshipSouthamptonSaville TownshipSavilleHalifax TownshipHalifaxHarrisburgMarysvilleMiddletownMillersburgHopewell TownshipHopewellWheatfield TownshipWheatfieldHighspireLondonderry TownshipLondonderryNorth Newton TownshipN NewtonCentre TownshipCentreCarroll TownshipCarrollUpper Paxton TownshipUpper PaxtonPenn TownshipPenn TownshipSteelton54.451606%54.451606%54.5%9,547151.951387%51.951387%52.0%3,035250.077257%50.077257%50.1%10,37110.4k348.860529%48.860529%48.9%1,072444.970845%44.970845%45.0%5,553542.469815%42.469815%42.5%17,76317.8k40.197977%40.197977%40.2%1,868639.086431%39.086431%39.1%4,364737.572221%37.572221%37.6%12,87612.9k836.847015%36.847015%36.8%790936.427722%36.427722%36.4%4,2891035.771577%35.771577%35.8%6,3331134.780899%34.780899%34.8%13,437,26113.4M34.452420%34.452420%34.5%1,4881233.644618%33.644618%33.6%9,577,4379.58M33.643013%33.643013%33.6%57,03557.0k33.356971%33.356971%33.4%2,3521333.188994%33.188994%33.2%3,6791432.352941%32.352941%32.4%1,51832.352941%32.352941%32.4%1,5181532.323605%32.323605%32.3%1,7501630.746169%30.746169%30.7%9231730.698925%30.698925%30.7%1,1421830.460776%30.460776%30.5%2,0891930.315023%30.315023%30.3%64,767,78764.8M30.137694%30.137694%30.1%117,317117k29.912116%29.912116%29.9%9532029.640926%29.640926%29.6%4,2762129.333279%29.333279%29.3%2,595,9502.60M28.772302%28.772302%28.8%4,3382228.718144%28.718144%28.7%1,5102327.168520%27.168520%27.2%1,5882427.142124%27.142124%27.1%5292526.544790%26.544790%26.5%2,1782626.472799%26.472799%26.5%4,5792725.364964%25.364964%25.4%9732824.925037%24.925037%24.9%6652924.292616%24.292616%24.3%3523022.296544%22.296544%22.3%4003119.192652%19.192652%19.2%7943219.134813%19.134813%19.1%8363318.385650%18.385650%18.4%2873418.296893%18.296893%18.3%4773518.214158%18.214158%18.2%5,5813618.107221%18.107221%18.1%3313717.451339%17.451339%17.5%1,0493815.912807%15.912807%15.9%2923915.852273%15.852273%15.9%2794014.857881%14.857881%14.9%3454114.707620%14.707620%14.7%2494214.349658%14.349658%14.3%5454314.095238%14.095238%14.1%2224414.078452%14.078452%14.1%2624513.850636%13.850636%13.9%5234613.684529%13.684529%13.7%4524713.382594%13.382594%13.4%3264812.283169%12.283169%12.3%2624910.876804%10.876804%10.9%39250
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 the Monroe Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Monroe Township
0%5%10%Count#Derry TownshipDerryCamp HillSouth Hanover TownshipS HanoverConewago TownshipConewagoEast Hanover TownshipE HanoverHampden TownshipHampdenCarlisleShippensburgNew Cumberland011700Tract 011700Monroe TownshipMonroeDickinson TownshipDickinsonCumberland Valley School DistrictCumberland VlyUpper Allen TownshipUpper AllenSusquehanna TownshipSusquehannaNortheastSouth Middleton TownshipS MiddletonMiddle AtlanticHummelstownLower Paxton TownshipLower PaxtonHarrisburg and Carlisle Metro AreaHarrisburgCumberland CountyCumberlandWest Hanover TownshipW HanoverUnited States of AmericaUnited StatesPennsylvaniaSilver Spring TownshipSilver SpgMiddle Paxton TownshipMiddle PaxtonLower Allen TownshipLower AllenLemoyneHarrisburgLondonderry TownshipLondonderryLower Swatara TownshipLower SwataraNorth Middleton TownshipN MiddletonSouthampton TownshipSouthamptonSwatara TownshipSwataraRye TownshipMarysvilleEast Pennsboro TownshipE PennsboroWormleysburgWest Pennsboro TownshipW PennsboroMechanicsburgUpper Paxton TownshipUpper PaxtonSaville TownshipSavilleMiddletownMiddlesex TownshipMiddlesexNorth Newton TownshipN NewtonCentre TownshipCentrePenn TownshipHopewell TownshipHopewellShippensburg TownshipShippensburgMillersburgPenbrookSteeltonPenn TownshipHighspireCarroll TownshipCarrollHalifax TownshipHalifaxWheatfield TownshipWheatfield13.665659%13.665659%13.7%2,39617.069497%7.069497%7.1%41326.864644%6.864644%6.9%31936.343284%6.343284%6.3%13645.765223%5.765223%5.8%24955.577016%5.577016%5.6%1,15565.435706%5.435706%5.4%64075.209895%5.209895%5.2%13984.543775%4.543775%4.5%24694.454390%4.454390%4.5%2094.454390%4.454390%4.5%209104.381720%4.381720%4.4%163114.258219%4.258219%4.3%1,7814.243602%4.243602%4.2%524124.241979%4.241979%4.2%751134.085016%4.085016%4.1%1,578,2061.58M3.987370%3.987370%4.0%442143.884861%3.884861%3.9%1,105,8831.11M3.730846%3.730846%3.7%112153.466589%3.466589%3.5%1,188163.374522%3.374522%3.4%13,13613.1k3.360467%3.360467%3.4%5,6973.347043%3.347043%3.3%236173.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.251232%3.251232%3.3%363182.789364%2.789364%2.8%107192.738112%2.738112%2.7%395202.699309%2.699309%2.7%86212.441174%2.441174%2.4%748222.422328%2.422328%2.4%92232.378101%2.378101%2.4%139242.120658%2.120658%2.1%174252.082856%2.082856%2.1%91261.930971%1.930971%1.9%334271.895206%1.895206%1.9%34281.805252%1.805252%1.8%33291.737746%1.737746%1.7%262301.549681%1.549681%1.5%34311.498671%1.498671%1.5%62321.414407%1.414407%1.4%97331.271571%1.271571%1.3%42341.153107%1.153107%1.2%18351.131259%1.131259%1.1%68361.027006%1.027006%1.0%54371.015873%1.015873%1.0%16380.859753%0.859753%0.9%16390.779967%0.779967%0.8%19400.568182%0.568182%0.6%10410.552105%0.552105%0.6%8420.544959%0.544959%0.5%10430.513084%0.513084%0.5%10440.360710%0.360710%0.4%13450.328176%0.328176%0.3%7460.295334%0.295334%0.3%5470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
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 the Monroe Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Monroe Township
Female
Male
4x2x0x2xFM#Middle PaxtonLower AllenDerryTract 011700MonroeLondonderryPenn TownshipW PennsboroWheatfieldConewagoPenbrookSavilleHopewellMarysvilleCentreW HanoverS HanoverSwataraMechanicsburgN NewtonSouthamptonUpper PaxtonUnited StatesHarrisburgPennsylvaniaLower SwataraMiddlesexSteeltonNew CumberlandNortheastHarrisburgE PennsboroCumberlandLower PaxtonMiddle AtlanticN MiddletonPenn TownshipCumberland VlyMillersburgHighspireSilver SpgS MiddletonCarrollUpper AllenHalifaxHampdenSusquehannaCamp HillShippensburgCarlisleRye TownshipDickinsonE HanoverMiddletownShippensburgLemoyneHummelstownWormleysburg-1.000000x-1.000000x3.439671x3.439671x3.44x3.146%3.15%10.820%10.8%1-1.000000x-1.000000x3.273801x3.273801x3.27x4.008%4.01%13.122%13.1%2-1.000000x-1.000000x1.778036x1.778036x1.78x3.022%3.02%5.373%5.37%3-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%4-1.000000x-1.000000x1.726353x1.726353x1.73x13.515%13.5%23.332%23.3%5-1.000000x-1.000000x1.634211x1.634211x1.63x6.173%6.17%10.088%10.1%6-1.000000x-1.000000x1.631751x1.631751x1.63x7.092%7.09%11.573%11.6%7-1.000000x-1.000000x1.592238x1.592238x1.59x6.244%6.24%9.942%9.94%8-1.000000x-1.000000x1.543760x1.543760x1.54x6.144%6.14%9.484%9.48%9-1.000000x-1.000000x1.517909x1.517909x1.52x6.208%6.21%9.424%9.42%10-1.000000x-1.000000x1.476526x1.476526x1.48x15.885%15.9%23.455%23.5%11-1.000000x-1.000000x1.456031x1.456031x1.46x16.870%16.9%24.563%24.6%12-1.000000x-1.000000x1.453876x1.453876x1.45x7.438%7.44%10.814%10.8%13-1.000000x-1.000000x1.394031x1.394031x1.39x10.078%10.1%14.050%14.0%14-1.000000x-1.000000x1.261880x1.261880x1.26x5.222%5.22%6.590%6.59%15-1.000000x-1.000000x1.261070x1.261070x1.26x4.695%4.70%5.921%5.92%16-1.000000x-1.000000x1.243173x1.243173x1.24x10.011%10.0%12.446%12.4%17-1.000000x-1.000000x1.161824x1.161824x1.16x9.775%9.78%11.357%11.4%18-1.000000x-1.000000x1.152268x1.152268x1.15x17.714%17.7%20.411%20.4%19-1.000000x-1.000000x1.128683x1.128683x1.13x19.232%19.2%21.707%21.7%20-1.000000x-1.000000x1.114952x1.114952x1.11x15.101%15.1%16.837%16.8%21-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099323x1.099323x1.10x9.534%9.53%10.481%10.5%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.087383x1.087383x1.09x11.247%11.2%12.230%12.2%22-1.000000x-1.000000x1.083943x1.083943x1.08x6.548%6.55%7.097%7.10%23-1.000000x-1.000000x1.081704x1.081704x1.08x12.113%12.1%13.103%13.1%24-1.000000x-1.000000x1.080374x1.080374x1.08x6.423%6.42%6.940%6.94%25-1.000000x-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%26-1.000000x-1.000000x1.072864x1.072864x1.07x10.745%10.7%11.528%11.5%27-1.000000x-1.000000x1.071063x1.071063x1.07x8.339%8.34%8.932%8.93%-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%28-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.047119x1.047119x1.05x7.897%7.90%8.269%8.27%29-1.011644x-1.011644x1.01x1.000000x1.000000x15.377%15.4%15.200%15.2%30-1.035660x-1.035660x1.04x1.000000x1.000000x5.489%5.49%5.300%5.30%-1.045163x-1.045163x1.05x1.000000x1.000000x23.764%23.8%22.738%22.7%31-1.046749x-1.046749x1.05x1.000000x1.000000x13.203%13.2%12.614%12.6%32-1.064554x-1.064554x1.06x1.000000x1.000000x3.819%3.82%3.587%3.59%33-1.118824x-1.118824x1.12x1.000000x1.000000x6.690%6.69%5.979%5.98%34-1.148287x-1.148287x1.15x1.000000x1.000000x15.548%15.5%13.541%13.5%35-1.155860x-1.155860x1.16x1.000000x1.000000x3.856%3.86%3.336%3.34%36-1.189942x-1.189942x1.19x1.000000x1.000000x12.144%12.1%10.206%10.2%37-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%38-1.203492x-1.203492x1.20x1.000000x1.000000x7.644%7.64%6.352%6.35%39-1.210634x-1.210634x1.21x1.000000x1.000000x5.322%5.32%4.396%4.40%40-1.216138x-1.216138x1.22x1.000000x1.000000x23.748%23.7%19.528%19.5%41-1.257660x-1.257660x1.26x1.000000x1.000000x10.935%10.9%8.695%8.69%42-1.312857x-1.312857x1.31x1.000000x1.000000x8.571%8.57%6.529%6.53%43-1.339568x-1.339568x1.34x1.000000x1.000000x8.541%8.54%6.376%6.38%44-1.341719x-1.341719x1.34x1.000000x1.000000x8.826%8.83%6.578%6.58%45-1.387907x-1.387907x1.39x1.000000x1.000000x15.076%15.1%10.862%10.9%46-1.616785x-1.616785x1.62x1.000000x1.000000x19.645%19.6%12.151%12.2%47-2.891865x-2.891865x2.89x1.000000x1.000000x6.232%6.23%2.155%2.15%48-2.988590x-2.988590x2.99x1.000000x1.000000x8.844%8.84%2.959%2.96%49-4.124854x-4.124854x4.12x1.000000x1.000000x14.175%14.2%3.436%3.44%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 the Monroe Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Monroe Township
Female
Male
0x5x10xFM#ShippensburgPenbrookPenn TownshipMillersburgSavilleHighspireLemoyneSilver SpgLower SwataraMiddle PaxtonUpper PaxtonE PennsboroHummelstownConewagoLower PaxtonHopewellHampdenCumberland VlyRye TownshipN NewtonLondonderryHarrisburgCarlisleHarrisburgDerrySusquehannaCumberlandS MiddletonCamp HillShippensburgSwataraUpper AllenSteeltonMechanicsburgPennsylvaniaWormleysburgCentreUnited StatesMiddle AtlanticNortheastMiddletownLower AllenS HanoverDickinsonW HanoverNew CumberlandW PennsboroPenn TownshipTract 011700MonroeE HanoverMiddlesexN MiddletonSouthamptonMarysville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.117%1.12%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.109%1.11%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.622%0.62%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.131%1.13%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.270%2.27%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.650%0.65%6-1.000000x-1.000000x7.809917x7.809917x7.81x0.647%0.65%5.051%5.05%7-1.000000x-1.000000x5.830835x5.830835x5.83x0.981%0.98%5.717%5.72%8-1.000000x-1.000000x5.807031x5.807031x5.81x0.778%0.78%4.516%4.52%9-1.000000x-1.000000x4.426548x4.426548x4.43x0.993%0.99%4.397%4.40%10-1.000000x-1.000000x3.540816x3.540816x3.54x0.576%0.58%2.041%2.04%11-1.000000x-1.000000x3.057171x3.057171x3.06x0.872%0.87%2.666%2.67%12-1.000000x-1.000000x2.913925x2.913925x2.91x1.937%1.94%5.643%5.64%13-1.000000x-1.000000x2.606690x2.606690x2.61x3.497%3.50%9.116%9.12%14-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%15-1.000000x-1.000000x2.447419x2.447419x2.45x0.333%0.33%0.815%0.81%16-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%17-1.000000x-1.000000x2.325976x2.325976x2.33x2.602%2.60%6.053%6.05%-1.000000x-1.000000x2.285092x2.285092x2.29x1.143%1.14%2.612%2.61%18-1.000000x-1.000000x2.248010x2.248010x2.25x0.628%0.63%1.412%1.41%19-1.000000x-1.000000x2.136671x2.136671x2.14x1.526%1.53%3.260%3.26%20-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%21-1.000000x-1.000000x1.882523x1.882523x1.88x3.819%3.82%7.190%7.19%22-1.000000x-1.000000x1.816754x1.816754x1.82x2.422%2.42%4.400%4.40%-1.000000x-1.000000x1.808748x1.808748x1.81x9.937%9.94%17.974%18.0%23-1.000000x-1.000000x1.806864x1.806864x1.81x3.117%3.12%5.632%5.63%24-1.000000x-1.000000x1.766495x1.766495x1.77x2.446%2.45%4.320%4.32%-1.000000x-1.000000x1.739227x1.739227x1.74x2.948%2.95%5.128%5.13%25-1.000000x-1.000000x1.737935x1.737935x1.74x5.223%5.22%9.078%9.08%26-1.000000x-1.000000x1.732721x1.732721x1.73x3.863%3.86%6.693%6.69%27-1.000000x-1.000000x1.707757x1.707757x1.71x1.430%1.43%2.442%2.44%28-1.000000x-1.000000x1.695775x1.695775x1.70x3.200%3.20%5.427%5.43%29-1.000000x-1.000000x1.670788x1.670788x1.67x0.272%0.27%0.454%0.45%30-1.000000x-1.000000x1.658933x1.658933x1.66x1.067%1.07%1.770%1.77%31-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.622279x1.622279x1.62x1.165%1.17%1.890%1.89%32-1.000000x-1.000000x1.537534x1.537534x1.54x0.672%0.67%1.033%1.03%33-1.000000x-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-1.000000x1.442675x1.442675x1.44x0.932%0.93%1.345%1.34%34-1.000000x-1.000000x1.414318x1.414318x1.41x2.228%2.23%3.152%3.15%35-1.000000x-1.000000x1.376917x1.376917x1.38x5.734%5.73%7.895%7.89%36-1.000000x-1.000000x1.298327x1.298327x1.30x3.820%3.82%4.959%4.96%37-1.000000x-1.000000x1.138672x1.138672x1.14x3.128%3.13%3.561%3.56%38-1.000000x-1.000000x1.057830x1.057830x1.06x4.423%4.42%4.678%4.68%39-1.000000x-1.000000x1.045994x1.045994x1.05x1.466%1.47%1.533%1.53%40-1.000000x-1.000000x1.023158x1.023158x1.02x0.772%0.77%0.789%0.79%41-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%42-1.122697x-1.122697x1.12x1.000000x1.000000x6.103%6.10%5.436%5.44%43-1.397958x-1.397958x1.40x1.000000x1.000000x1.201%1.20%0.859%0.86%44-1.795987x-1.795987x1.80x1.000000x1.000000x2.712%2.71%1.510%1.51%45-1.989004x-1.989004x1.99x1.000000x1.000000x2.717%2.72%1.366%1.37%46-3.997934x-3.997934x4.00x1.000000x1.000000x2.789%2.79%0.698%0.70%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 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 Monroe Township to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with the Monroe Township. 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 the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaHarrisburg and Carlisle Metro AreaHarrisburgWarminster TownshipWarminsterYork TownshipCumberland CountyCumberlandBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipCumberland Valley School DistrictCumberland Vly011700Tract 011700Monroe TownshipMonroeShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.989724%9.989724%10.0%38,88738.9k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.628561%8.628561%8.6%14,62814.6k8.506291%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%1,354305.398685%5.398685%5.4%2,2585.349531%5.349531%5.3%2515.349531%5.349531%5.3%2515.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe 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 TownshipCumberland Valley School DistrictCumberland VlyPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticCumberland CountyCumberlandNorth Huntingdon TownshipN Huntingdon011700Tract 011700Monroe TownshipMonroeHempfield TownshipHempfieldUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%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%10,37810.4k1842.469815%42.469815%42.5%17,76317.8k40.731207%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%9,577,4379.58M33.643013%33.643013%33.6%57,03557.0k33.487491%33.487491%33.5%7,6032832.352941%32.352941%32.4%1,51832.352941%32.352941%32.4%1,51830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M30.137694%30.137694%30.1%117,317117k29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe 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 TownshipCranberry011700Tract 011700Monroe TownshipMonroeMonroevilleCumberland Valley School DistrictCumberland VlyRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonHarrisburg and Carlisle Metro AreaHarrisburgCumberland CountyCumberlandUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%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%950184.454390%4.454390%4.5%2094.454390%4.454390%4.5%2094.440190%4.440190%4.4%951194.258219%4.258219%4.3%1,7814.221834%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%1,188253.374522%3.374522%3.4%13,13613.1k3.360467%3.360467%3.4%5,6973.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
Female
Male
2x1x0x1x2xFM#RadnorTract 011700MonroeShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyHarrisburgWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgCumberlandYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonCumberland VlyMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%6-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%7-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%8-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.099323x1.099323x1.10x9.534%9.53%10.481%10.5%-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-1.000000x1.071063x1.071063x1.07x8.339%8.34%8.932%8.93%-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%33-1.035660x-1.035660x1.04x1.000000x1.000000x5.489%5.49%5.300%5.30%-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 the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
Female
Male
1x0x1x2x3x4xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonCumberland VlyAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonHarrisburgAbingtonCumberlandRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterTract 011700MonroePlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.325976x2.325976x2.33x2.602%2.60%6.053%6.05%-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-1.000000x1.816754x1.816754x1.82x2.422%2.42%4.400%4.40%-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.766495x1.766495x1.77x2.446%2.45%4.320%4.32%-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-1.000000x1.573118x1.573118x1.57x4.820%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%45-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

There are 5,785 county subdivisions in the Northeast. This section compares the Monroe Township to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with the Monroe Township. 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 the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyHarrisburg and Carlisle Metro AreaHarrisburgWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadCumberland CountyCumberlandTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayCumberland Valley School DistrictCumberland Vly011700Tract 011700Monroe TownshipMonroeTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.989724%9.989724%10.0%38,88738.9k9.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.628561%8.628561%8.6%14,62814.6k8.603165%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%11,95012.0k485.398685%5.398685%5.4%2,2585.349531%5.349531%5.3%2515.349531%5.349531%5.3%2514.592814%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 the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe 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 CityCumberland Valley School DistrictCumberland VlyQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticCumberland CountyCumberlandTown of RamapoRamapo011700Tract 011700Monroe TownshipMonroeTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%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%80,75080.8k1242.469815%42.469815%42.5%17,76317.8k42.147695%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%9,577,4379.58M33.643013%33.643013%33.6%57,03557.0k32.475875%32.475875%32.5%23,45723.5k2032.352941%32.352941%32.4%1,51832.352941%32.352941%32.4%1,51832.119689%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%64,767,78764.8M30.137694%30.137694%30.1%117,317117k29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe 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 TownshipEdison011700Tract 011700Monroe TownshipMonroeTown of HempsteadHempsteadJersey CityCumberland Valley School DistrictCumberland VlySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynHarrisburg and Carlisle Metro AreaHarrisburgCumberland CountyCumberlandUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%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%3,788154.454390%4.454390%4.5%2094.454390%4.454390%4.5%2094.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.258219%4.258219%4.3%1,7814.250337%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%59,36259.4k253.374522%3.374522%3.4%13,13613.1k3.360467%3.360467%3.4%5,6973.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#Tract 011700MonroeStamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipHarrisburgManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastCumberlandMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensCumberland VlyManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.099323x1.099323x1.10x9.534%9.53%10.481%10.5%-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-1.000000x1.071063x1.071063x1.07x8.339%8.34%8.932%8.93%-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%38-1.035660x-1.035660x1.04x1.000000x1.000000x5.489%5.49%5.300%5.30%-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 the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
Female
Male
1x0x1x2xFM#LakewoodCumberland VlyAllentownToms RivHarrisburgWoodbridgeSmithtownHuntingtonBrookhavenAmherstCumberlandStamfordOyster BayGreenburghManchesterPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterTract 011700MonroeBrockton-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.325976x2.325976x2.33x2.602%2.60%6.053%6.05%-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-1.000000x1.816754x1.816754x1.82x2.422%2.42%4.400%4.40%-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-1.000000x1.766495x1.766495x1.77x2.446%2.45%4.320%4.32%-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-1.000000x1.556739x1.556739x1.56x0.827%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%49-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Monroe Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Monroe Township. 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 the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonHarrisburg and Carlisle Metro AreaHarrisburgAtlantaSeattleCumberland CountyCumberlandNortheast TarrantNE TarrantPlanoCumberland Valley School DistrictCumberland Vly011700Tract 011700Monroe TownshipMonroeSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.989724%9.989724%10.0%38,88738.9k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.628561%8.628561%8.6%14,62814.6k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k495.398685%5.398685%5.4%2,2585.349531%5.349531%5.3%2515.349531%5.349531%5.3%2514.913852%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 the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinCumberland Valley School DistrictCumberland VlyTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticCumberland CountyCumberlandSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampa011700Tract 011700Monroe TownshipMonroeTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%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%256,674257k1142.469815%42.469815%42.5%17,76317.8k41.989192%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%9,577,4379.58M33.643013%33.643013%33.6%57,03557.0k33.231104%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%144,676145k2532.352941%32.352941%32.4%1,51832.352941%32.352941%32.4%1,51832.087814%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%64,767,78764.8M30.137694%30.137694%30.1%117,317117k30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucson011700Tract 011700Monroe TownshipMonroeTown of HempsteadHempsteadTampaCumberland Valley School DistrictCumberland VlyNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoHarrisburg and Carlisle Metro AreaHarrisburgCumberland CountyCumberlandColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%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%25,61425.6k174.454390%4.454390%4.5%2094.454390%4.454390%4.5%2094.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.258219%4.258219%4.3%1,7814.085016%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%25,05825.1k293.374522%3.374522%3.4%13,13613.1k3.360467%3.360467%3.4%5,6973.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#Tract 011700Monroe1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHarrisburgHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthCumberlandPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiCumberland VlyManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%-1.000000x-1.000000x1.753491x1.753491x1.75x3.893%3.89%6.827%6.83%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099323x1.099323x1.10x9.534%9.53%10.481%10.5%-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-1.000000x1.071063x1.071063x1.07x8.339%8.34%8.932%8.93%-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%42-1.035660x-1.035660x1.04x1.000000x1.000000x5.489%5.49%5.300%5.30%-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 the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
1x0x1x2xFM#Cumberland VlyEl PasoSalt Lk CityHarrisburgPlanoCumberlandTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 011700Monroe-1.000000x-1.000000x2.325976x2.325976x2.33x2.602%2.60%6.053%6.05%-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-1.000000x1.816754x1.816754x1.82x2.422%2.42%4.400%4.40%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.766495x1.766495x1.77x2.446%2.45%4.320%4.32%-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-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%-1.033926x-1.033926x1.03x1.000000x1.000000x4.528%4.53%4.380%4.38%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Cumberland
Metro Area:
Harrisburg Area
ZIP Codes:
17007, 17015, 17019, 17055
Unified School District:
Cumberland Valley
Congressional District:
PA-11
State Senate District:
PA-31
State House District:
PA-92
Neighboring Boroughs:
Mechanicsburg
Neighboring Townships:
Carroll, Franklin, Middlesex, Silver Spring, South Middleton, Upper Allen
Neighboring Unincorporated Places:
Boiling Springs
Nearby Townships:
Hampden, Lower Allen, Monaghan, North Middleton