Educational Attainment in the Upper Paxton Township, Dauphin County, Pennsylvania (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Dauphin County and the Upper Paxton Township
Upper Paxton Township
Dauphin County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma221.919467%37.827011%21.919467%21.9%72462.155616%51.251578%62.155616%62.2%2,05315.924917%10.921411%15.924917%15.9%526
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 Dauphin County at large.
Scope: population of Dauphin County and the Upper Paxton Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-42.053399%-42.053399%-42.1%21.919%21.9%37.827%37.8%21.275517%21.275517%+21.3%62.156%62.2%51.252%51.3%45.813733%45.813733%+45.8%15.925%15.9%10.921%10.9%
% percentage with given level in the Upper Paxton Township
ref. percentage with given level in Dauphin 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 Dauphin County and the Upper Paxton Township
Upper Paxton Township
Dauphin County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.253443%01.271571%2.535118%1.271571%1.3%422.300939%7.491890%2.300939%2.3%7610.112019%18.044140%10.112019%10.1%3348.234938%8.502421%8.234938%8.2%27216.893733%17.257875%16.893733%16.9%55845.261883%33.993703%45.261883%45.3%1,49510.263397%7.473778%10.263397%10.3%3394.874357%2.346010%4.874357%4.9%1610.787163%1.101623%0.787163%0.8%26
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 Dauphin County at large.
Scope: population of Dauphin County and the Upper Paxton Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%1.253%1.25%-49.841736%-49.841736%-49.8%1.272%1.27%2.535%2.54%-69.287608%-69.287608%-69.3%2.301%2.30%7.492%7.49%-43.959537%-43.959537%-44.0%10.112%10.1%18.044%18.0%-3.145965%-3.145965%-3.1%8.235%8.23%8.502%8.50%-2.110003%-2.110003%-2.1%16.894%16.9%17.258%17.3%33.147844%33.147844%+33.1%45.262%45.3%33.994%34.0%37.325421%37.325421%+37.3%10.263%10.3%7.474%7.47%107.772219%107.772219%+107.8%4.874%4.87%2.346%2.35%-28.545148%-28.545148%-28.5%0.787%0.79%1.102%1.10%
% percentage with given level in the Upper Paxton Township
ref. percentage with given level in Dauphin 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 Dauphin County and the Upper Paxton Township
More Females More Males
Dauphin County
Upper Paxton Township
5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-6.115568%-0.099273%-6.115568%6%22.536%22.5%21.237%21.2%-0.705829%-1.971720%-0.705829%1%62.363%62.4%61.926%61.9%11.495171%9.949042%11.495171%11%15.101%15.1%16.837%16.8%
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 Dauphin County and the Upper Paxton Township
More Females More Males
Dauphin County
Upper Paxton Township
0%100%200%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None254.081633%78.579878%254.081633%254%0.576%0.58%2.041%2.04%-15.644035%22.945011%22.945011%23%2.075%2.07%2.551%2.55%-69.841995%-69.841995%70%0.083200%12.565%12.6%7.398%7.40%-17.423974%26.333260%26.333260%26%7.320%7.32%9.247%9.25%18.027211%2.365790%18.027211%18%15.562%15.6%18.367%18.4%-7.443935%-4.221726%-7.443935%7%46.801%46.8%43.559%43.6%-16.632136%-16.632136%17%7.991811%11.009%11.0%9.439%9.44%96.500044%13.835450%96.500044%97%3.343%3.34%6.569%6.57%10.650510%15.340960%10.650510%11%0.749%0.75%0.829%0.83%
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 Dauphin County and the Upper Paxton Township
Upper Paxton Township
Dauphin County
0%5%10%15%20%B.X.Total65+45-6435-4425-344.657534%11.604647%4.657534%4.7%511,09512.884753%17.343946%12.884753%12.9%1801,39710.752688%20.439754%10.752688%10.8%4037214.350797%24.588124%14.350797%14.4%63439
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 Dauphin County at large.
Scope: population of Dauphin County and the Upper Paxton Township
50%40%30%20%10%0%%ref.65+45-6435-4425-34-59.864920%-59.864920%59.9%4.658%4.66%11.605%11.6%-25.710373%-25.710373%25.7%12.885%12.9%17.344%17.3%-47.393261%-47.393261%47.4%10.753%10.8%20.440%20.4%-41.635249%-41.635249%41.6%14.351%14.4%24.588%24.6%
% percentage in the Upper Paxton Township with a Bachelor's degree
ref percentage in Dauphin 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 Dauphin County and the Upper Paxton Township
More Females More Males
Dauphin County
Upper Paxton Township
400%200%0%FM65+45-6435-4425-34-597.816594%-597.816594%597.8%34.161816%6.841%6.84%0.980%0.98%-79.231513%-3.789777%-79.231513%79.2%16.741%16.7%9.341%9.34%-12.929062%-12.929062%12.9%9.573888%11.413%11.4%10.106%10.1%-90.194872%-28.333717%-90.194872%90.2%19.487%19.5%10.246%10.2%
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 Dauphin County and the Upper Paxton Township
Upper Paxton Township
Dauphin County
$0k$50kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$99,306.000000$63,967.000000$99,306.000000$99.3k1183.573%3.57%$41,637.000000$48,267.000000$41,637.000000$41.6k33410.112%10.1%$41,689.000000$35,893.000000$41,689.000000$41.7k83025.129%25.1%$31,364.000000$30,711.000000$31,364.000000$31.4k1,49545.262%45.3%$36,806.000000$20,863.000000$36,806.000000$36.8k52615.925%15.9%$38,519.000000$37,353.000000$38,519.000000$38.5k3,303100.000%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 Dauphin County and the Upper Paxton Township
Female Male
Dauphin County
Upper Paxton Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeH.S. Diploma2No H.S. Diploma2Total$-37,361.000000$-31,280.000000$-37,361.000000$37.4k$37,361.000000$13,434.000000$31,280.000000$10,388.000000$50,795.000000$50.8k397433$-31,103.000000$-26,921.000000$-31,103.000000$31.1k$31,103.000000$425.000000$26,921.000000$8,288.000000$31,528.000000$31.5k812683$-24,052.000000$-16,664.000000$-24,052.000000$24.1k$24,052.000000$22,198.000000$16,664.000000$8,763.000000$46,250.000000$46.3k262264$-32,835.000000$-32,905.000000$-32,835.000000$32.8k$32,835.000000$9,036.000000$32,905.000000$10,604.000000$41,871.000000$41.9k1,7351,568
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 Dauphin County and the Upper Paxton Township
Upper Paxton Township
Dauphin County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma369.452450%85.301974%69.452450%69.5%24189.371257%79.375801%89.371257%89.4%59782.215122%69.630259%82.215122%82.2%77256.692913%50.700935%56.692913%56.7%144
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 Dauphin County and the Upper Paxton Township
Female Male
Dauphin County
Upper Paxton Township
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1BlackHispanic2Other1-15.429918%-7.565671%-15.429918%15.4%15.429918%1.312458%7.565671%0.705165%16.742375%16.7%258262-0.000000%-13.277854%0.000000%0.0%0.000000%100.000000%13.277854%2.092193%100.000000%100.0%60-0.000000%-28.788673%0.000000%0.0%0.000000%0.000000%28.788673%7.367439%0.000000%0.0%00-0.000000%-24.086022%0.000000%0.0%0.000000%0.000000%24.086022%9.330906%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 Dauphin County and the Upper Paxton Township
Female Male
Dauphin County
Upper Paxton Township
Shaded bar tips show excess over facing bar.
80%60%40%20%0%20%MFWhite1BlackHispanic2Other1-12.199870%-2.641119%-31.219788%-14.840989%14.8%12.199870%31.219788%2.631703%12.199870%12.2%188252-0.000000%-92.307692%-13.956876%-4.550141%-92.307692%92.3%0.000000%13.956876%0.000000%0.0%012-0.000000%-15.463918%-1.543599%0.000000%0.0%0.000000%0.000000%15.463918%0.000000%0.0%00-0.000000%-16.583072%-2.933057%0.000000%0.0%0.000000%0.000000%16.583072%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 Upper Paxton Township to the 50 most populous county subdivisions in the Harrisburg Area and to those entities that contain or substantially overlap with the Upper Paxton 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 Upper Paxton Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Upper Paxton Township
0%5%10%15%20%Count#MillersburgShippensburgHarrisburgHopewell TownshipHopewellSouthampton TownshipSouthamptonSaville TownshipSavilleNorth Newton TownshipN NewtonLondonderry TownshipLondonderryMillersburg Area School DistrictMillersburgShippensburg TownshipShippensburg025300Tract 025300Upper Paxton TownshipUpper PaxtonPenn TownshipCarroll TownshipCarrollMiddletownUnited States of AmericaUnited StatesHighspireSteeltonMiddle AtlanticCentre TownshipCentreLower Swatara TownshipLower SwataraNortheastHalifax TownshipHalifaxSwatara TownshipSwataraEast Pennsboro TownshipE PennsboroDauphin CountyDauphinMechanicsburgPennsylvaniaHarrisburg and Carlisle Metro AreaHarrisburgCarlisleWest Pennsboro TownshipW PennsboroLower Allen TownshipLower AllenMarysvilleWormleysburgWheatfield 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 HanoverMonroe 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%706818.548073%18.548073%18.5%95315.942029%15.942029%15.9%231915.924917%15.924917%15.9%52615.924917%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%1,6772010.921411%10.921411%10.9%20,50220.5k10.557014%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%165258.477666%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%417435.349531%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 Upper Paxton Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Upper Paxton Township
0%10%20%30%40%50%Count#Derry TownshipDerryCamp HillHampden TownshipHampdenWormleysburgUpper Allen TownshipUpper AllenSouth Hanover TownshipS HanoverSilver Spring TownshipSilver SpgLower Paxton TownshipLower PaxtonConewago TownshipConewagoCarlisleSusquehanna TownshipSusquehannaNortheastEast Hanover TownshipE HanoverMiddle AtlanticWest Hanover TownshipW HanoverSouth Middleton TownshipS MiddletonMonroe TownshipMonroeNew CumberlandHummelstownDickinson TownshipDickinsonMechanicsburgUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgLemoyneLower Allen TownshipLower AllenPennsylvaniaDauphin CountyDauphinEast Pennsboro TownshipE PennsboroMiddlesex TownshipMiddlesexLower Swatara TownshipLower SwataraPenbrookNorth Middleton TownshipN MiddletonSwatara TownshipSwataraMiddle Paxton TownshipMiddle PaxtonShippensburgShippensburg TownshipShippensburgRye TownshipWest Pennsboro TownshipW PennsboroSouthampton TownshipSouthamptonSaville TownshipSavilleHalifax TownshipHalifaxHarrisburgMarysvilleMiddletownMillersburgHopewell TownshipHopewellWheatfield TownshipWheatfieldHighspireMillersburg Area School DistrictMillersburgLondonderry TownshipLondonderryNorth Newton TownshipN NewtonCentre TownshipCentreCarroll TownshipCarroll025300Tract 025300Upper 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%5,553540.197977%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%9,577,4379.58M33.356971%33.356971%33.4%2,3521333.188994%33.188994%33.2%3,6791432.352941%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%2,595,9502.60M29.324590%29.324590%29.3%55,04955.0k28.772302%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%2494214.480343%14.480343%14.5%74414.349658%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%45213.684529%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 Upper Paxton Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Upper Paxton Township
0%5%10%Count#Derry TownshipDerryCamp HillSouth Hanover TownshipS HanoverConewago TownshipConewagoEast Hanover TownshipE HanoverHampden TownshipHampdenCarlisleShippensburgNew CumberlandMonroe TownshipMonroeDickinson TownshipDickinsonUpper Allen TownshipUpper AllenSusquehanna TownshipSusquehannaNortheastSouth Middleton TownshipS MiddletonMiddle AtlanticDauphin CountyDauphinHummelstownLower Paxton TownshipLower PaxtonHarrisburg and Carlisle Metro AreaHarrisburgWest 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 PennsboroMechanicsburg025300Tract 025300Upper Paxton TownshipUpper PaxtonSaville TownshipSavilleMiddletownMiddlesex TownshipMiddlesexNorth Newton TownshipN NewtonMillersburg Area School DistrictMillersburgCentre 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%209104.381720%4.381720%4.4%163114.243602%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%1,105,8831.11M3.788561%3.788561%3.8%7,1123.730846%3.730846%3.7%112153.466589%3.466589%3.5%1,188163.374522%3.374522%3.4%13,13613.1k3.347043%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%421.271571%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%16381.012067%1.012067%1.0%520.859753%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 Upper Paxton Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Upper Paxton Township
Female
Male
4x2x0x2xFM#Middle PaxtonLower AllenDerryMonroeLondonderryPenn TownshipW PennsboroWheatfieldConewagoPenbrookSavilleHopewellMarysvilleCentreW HanoverS HanoverSwataraMechanicsburgN NewtonSouthamptonTract 025300Upper PaxtonUnited StatesDauphinHarrisburgPennsylvaniaLower SwataraMiddlesexSteeltonNew CumberlandNortheastHarrisburgE PennsboroLower PaxtonMiddle AtlanticN MiddletonMillersburgPenn TownshipMillersburgHighspireSilver 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%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%-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-1.000000x1.099490x1.099490x1.10x10.430%10.4%11.468%11.5%-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-1.000000x1.060439x1.060439x1.06x6.073%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%29-1.000000x-1.000000x1.043803x1.043803x1.04x18.168%18.2%18.964%19.0%-1.011644x-1.011644x1.01x1.000000x1.000000x15.377%15.4%15.200%15.2%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 Upper Paxton Township, selected other county subdivisions in the Harrisburg Area, and entities that contain the Upper Paxton Township
Female
Male
0x5x10xFM#ShippensburgPenbrookPenn TownshipMillersburgSavilleHighspireLemoyneSilver SpgLower SwataraMillersburgMiddle PaxtonTract 025300Upper PaxtonE PennsboroHummelstownConewagoLower PaxtonHopewellHampdenRye TownshipN NewtonLondonderryHarrisburgDauphinCarlisleHarrisburgDerrySusquehannaS MiddletonCamp HillShippensburgSwataraUpper AllenSteeltonMechanicsburgPennsylvaniaWormleysburgCentreUnited StatesMiddle AtlanticNortheastMiddletownLower AllenS HanoverDickinsonW HanoverNew CumberlandW PennsboroPenn TownshipMonroeE 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-1.000000x4.600816x4.600816x4.60x0.372%0.37%1.713%1.71%-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%-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-1.000000x2.285092x2.285092x2.29x1.143%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-1.000000x1.898120x1.898120x1.90x2.658%2.66%5.045%5.05%-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-1.000000x1.739227x1.739227x1.74x2.948%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%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 Upper Paxton Township to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with the Upper Paxton 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 Upper Paxton Township, selected other county subdivisions in Pennsylvania, and entities that contain the Upper Paxton Township
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownMillersburg Area School DistrictMillersburgPhiladelphiaWilkes-Barre025300Tract 025300Upper Paxton TownshipUpper PaxtonScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastDauphin CountyDauphinAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaHarrisburg and Carlisle Metro AreaHarrisburgWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346718.548073%18.548073%18.5%95317.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.924917%15.924917%15.9%52615.924917%15.924917%15.9%52615.146168%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%4,487,0854.49M10.921411%10.921411%10.9%20,50220.5k10.743639%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%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260246.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Upper Paxton Township, selected other county subdivisions in Pennsylvania, and entities that contain the Upper Paxton Township
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgUpper Darby TownshipUpper DarbyPennsylvaniaDauphin CountyDauphinPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownMillersburg Area School DistrictMillersburgBristol TownshipBristol025300Tract 025300Upper Paxton TownshipUpper PaxtonYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M30.137694%30.137694%30.1%117,317117k29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.324590%29.324590%29.3%55,04955.0k29.058562%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%11,26811.3k4614.480343%14.480343%14.5%74414.443730%14.443730%14.4%5,3934713.684529%13.684529%13.7%45213.684529%13.684529%13.7%45211.708059%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 Upper Paxton Township, selected other county subdivisions in Pennsylvania, and entities that contain the Upper Paxton Township
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticDauphin CountyDauphinYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonHarrisburg and Carlisle Metro AreaHarrisburgUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristown025300Tract 025300Upper Paxton TownshipUpper PaxtonFalls TownshipFallsRidley TownshipRidleyMillersburg Area School DistrictMillersburgWilkes-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%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.788561%3.788561%3.8%7,1123.780737%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%13,13613.1k3.336158%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%309421.271571%1.271571%1.3%421.271571%1.271571%1.3%421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225441.012067%1.012067%1.0%520.940792%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 Upper Paxton Township, selected other county subdivisions in Pennsylvania, and entities that contain the Upper Paxton Township
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimTract 025300Upper PaxtonUnited StatesRidleyDauphinHarrisburgWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownMillersburgReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%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-1.000000x1.114952x1.114952x1.11x15.101%15.1%16.837%16.8%-1.000000x-1.000000x1.114952x1.114952x1.11x15.101%15.1%16.837%16.8%-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-1.000000x1.099490x1.099490x1.10x10.430%10.4%11.468%11.5%-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-1.000000x1.071003x1.071003x1.07x20.882%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-1.000000x1.043803x1.043803x1.04x18.168%18.2%18.964%19.0%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%42-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%43-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%44-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%45-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%46-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%47-1.583597x-1.583597x1.58x1.000000x1.000000x3.691%3.69%2.330%2.33%48-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Upper Paxton Township, selected other county subdivisions in Pennsylvania, and entities that contain the Upper Paxton Township
Female
Male
1x0x1x2x3x4xFM#MillersburgFallsSpgTract 025300Upper PaxtonChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemDauphinUpper MerionLower MacungieScrantonHarrisburgAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x4.600816x4.600816x4.60x0.372%0.37%1.713%1.71%-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-1.000000x3.540816x3.540816x3.54x0.576%0.58%2.041%2.04%-1.000000x-1.000000x3.540816x3.540816x3.54x0.576%0.58%2.041%2.04%-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.898120x1.898120x1.90x2.658%2.66%5.045%5.05%-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-1.000000x1.750758x1.750758x1.75x3.143%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%45-1.072148x-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 Upper Paxton Township to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with the Upper Paxton 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 Upper Paxton Township, selected other county subdivisions in the Northeast, and entities that contain the Upper Paxton Township
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonMillersburg Area School DistrictMillersburgTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewood025300Tract 025300Upper Paxton TownshipUpper PaxtonWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordDauphin CountyDauphinPennsylvaniaTown of HempsteadHempsteadAlbanyHarrisburg and Carlisle Metro AreaHarrisburgWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1818.548073%18.548073%18.5%95317.423749%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%7,1442415.924917%15.924917%15.9%52615.924917%15.924917%15.9%52615.555125%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%9,8073510.921411%10.921411%10.9%20,50220.5k10.459911%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%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Upper Paxton Township, selected other county subdivisions in the Northeast, and entities that contain the Upper Paxton Township
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgWorcesterProvidencePennsylvaniaDauphin CountyDauphinTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyMillersburg Area School DistrictMillersburg025300Tract 025300Upper Paxton TownshipUpper PaxtonNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M30.137694%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%2,595,9502.60M29.324590%29.324590%29.3%55,04955.0k28.513632%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%10,47710.5k4714.480343%14.480343%14.5%74413.684529%13.684529%13.7%45213.684529%13.684529%13.7%45213.654578%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 Upper Paxton Township, selected other county subdivisions in the Northeast, and entities that contain the Upper Paxton Township
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticDauphin CountyDauphinPhiladelphiaQuincyWorcesterYonkersBrooklynHarrisburg and Carlisle Metro AreaHarrisburgUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfield025300Tract 025300Upper Paxton TownshipUpper PaxtonLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonMillersburg Area School DistrictMillersburgPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.788561%3.788561%3.8%7,1123.720350%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%13,13613.1k3.336158%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%1,401431.271571%1.271571%1.3%421.271571%1.271571%1.3%421.189570%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%636491.012067%1.012067%1.0%520.572354%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 Upper Paxton Township, selected other county subdivisions in the Northeast, and entities that contain the Upper Paxton Township
Female
Male
1x0x1xFM#StamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportTract 025300Upper PaxtonNew BedfordWorcesterUnited StatesTown of IslipDauphinHarrisburgManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownMillersburgLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%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-1.000000x1.114952x1.114952x1.11x15.101%15.1%16.837%16.8%-1.000000x-1.000000x1.114952x1.114952x1.11x15.101%15.1%16.837%16.8%-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-1.000000x1.099490x1.099490x1.10x10.430%10.4%11.468%11.5%-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-1.000000x1.059800x1.059800x1.06x11.972%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-1.000000x1.043803x1.043803x1.04x18.168%18.2%18.964%19.0%-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Upper Paxton Township, selected other county subdivisions in the Northeast, and entities that contain the Upper Paxton Township
Female
Male
1x0x1x2x3x4xFM#MillersburgTract 025300Upper PaxtonLakewoodAllentownDauphinToms RivHarrisburgWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x4.600816x4.600816x4.60x0.372%0.37%1.713%1.71%-1.000000x-1.000000x3.540816x3.540816x3.54x0.576%0.58%2.041%2.04%-1.000000x-1.000000x3.540816x3.540816x3.54x0.576%0.58%2.041%2.04%-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.898120x1.898120x1.90x2.658%2.66%5.045%5.05%-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-1.000000x1.765297x1.765297x1.77x4.359%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%49-1.041380x-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 Upper Paxton Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Upper Paxton 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 Upper Paxton Township, selected other county subdivisions in the United States, and entities that contain the Upper Paxton 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 VlyMillersburg Area School DistrictMillersburgMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…025300Tract 025300Upper Paxton TownshipUpper PaxtonLas VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaDauphin CountyDauphinPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonHarrisburg and Carlisle Metro AreaHarrisburgAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1818.548073%18.548073%18.5%95317.485105%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%70,21470.2k2415.924917%15.924917%15.9%52615.924917%15.924917%15.9%52615.906523%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%43,65343.7k4110.921411%10.921411%10.9%20,50220.5k10.459911%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%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Upper Paxton Township, selected other county subdivisions in the United States, and entities that contain the Upper Paxton Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHarrisburg and Carlisle Metro AreaHarrisburgHoustonBaltimorePennsylvaniaDauphin CountyDauphinLong 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 CntrlMillersburg Area School DistrictMillersburgDetroit025300Tract 025300Upper Paxton TownshipUpper Paxton60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.137694%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%2,595,9502.60M29.324590%29.324590%29.3%55,04955.0k29.113198%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%65,34165.3k4914.480343%14.480343%14.5%74413.833543%13.833543%13.8%59,72359.7k5013.684529%13.684529%13.7%45213.684529%13.684529%13.7%452
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 Upper Paxton Township, selected other county subdivisions in the United States, and entities that contain the Upper Paxton Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityDauphin CountyDauphinHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoHarrisburg and Carlisle Metro AreaHarrisburgColumbusUnited 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 DallasBronxDetroit025300Tract 025300Upper Paxton TownshipUpper PaxtonMillersburg Area School DistrictMillersburg12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.788561%3.788561%3.8%7,1123.737871%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%13,13613.1k3.357865%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%5,693501.271571%1.271571%1.3%421.271571%1.271571%1.3%421.012067%1.012067%1.0%52
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 Upper Paxton Township, selected other county subdivisions in the United States, and entities that contain the Upper Paxton Township
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeTract 025300Upper PaxtonUnited StatesNE DallasDauphinHarrisburgHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverMillersburgNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%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-1.000000x1.114952x1.114952x1.11x15.101%15.1%16.837%16.8%-1.000000x-1.000000x1.114952x1.114952x1.11x15.101%15.1%16.837%16.8%-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-1.000000x1.099490x1.099490x1.10x10.430%10.4%11.468%11.5%-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-1.000000x1.069008x1.069008x1.07x14.467%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-1.000000x1.043803x1.043803x1.04x18.168%18.2%18.964%19.0%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Upper Paxton Township, selected other county subdivisions in the United States, and entities that contain the Upper Paxton Township
Female
Male
1x0x1x2x3x4xFM#MillersburgTract 025300Upper PaxtonEl PasoSalt Lk CityDauphinHarrisburgPlanoTulsaAlbuquerqueNE 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 FranciscoDetroit-1.000000x-1.000000x4.600816x4.600816x4.60x0.372%0.37%1.713%1.71%-1.000000x-1.000000x3.540816x3.540816x3.54x0.576%0.58%2.041%2.04%-1.000000x-1.000000x3.540816x3.540816x3.54x0.576%0.58%2.041%2.04%-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-1.000000x1.898120x1.898120x1.90x2.658%2.66%5.045%5.05%-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-1.000000x1.720683x1.720683x1.72x2.338%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
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Dauphin
Metro Area:
Harrisburg Area
Unincorporated Place:
Lenkerville
ZIP Codes:
17017, 17061
Unified School District:
Millersburg
Congressional District:
PA-11
State Senate District:
PA-15
State House District:
PA-104
Neighboring Townships:
Buffalo, Halifax, Jackson, Liverpool, Lower Mahanoy, Mifflin, Susquehanna, Washington
Nearby Townships:
Chapman, Greenwood, Perry, Watts, Wayne