Educational Attainment in Mount Wolf, York County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of York County and Mount Wolf
Mount Wolf
York County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma224.876847%31.441754%24.876847%24.9%30360.919540%57.094820%60.919540%60.9%74214.203612%11.463427%14.203612%14.2%173
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 York County at large.
Scope: population of York County and Mount Wolf
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-20.879581%-20.879581%-20.9%24.877%24.9%31.442%31.4%6.698892%6.698892%+6.7%60.920%60.9%57.095%57.1%23.903724%23.903724%+23.9%14.204%14.2%11.463%11.5%
% percentage with given level in Mount Wolf
ref. percentage with given level in York 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 York County and Mount Wolf
Mount Wolf
York County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.821018%0.673180%0.821018%0.8%100.000000%0.000000%0.0%1.318118%04.105090%6.049093%4.105090%4.1%509.441708%15.074953%9.441708%9.4%11510.509031%8.326410%10.509031%10.5%1289.441708%16.483376%9.441708%9.4%11551.477833%40.611444%51.477833%51.5%6279.523810%8.020688%9.523810%9.5%1162.791461%2.601428%2.791461%2.8%341.888342%0.841310%1.888342%1.9%23
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 York County at large.
Scope: population of York County and Mount Wolf
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None21.961232%21.961232%+22.0%0.821%0.82%0.673%0.67%-100.000000%-100.000000%-100.0%0.000%0%1.318%1.32%-32.137092%-32.137092%-32.1%4.105%4.11%6.049%6.05%-37.368244%-37.368244%-37.4%9.442%9.44%15.075%15.1%26.213233%26.213233%+26.2%10.509%10.5%8.326%8.33%-42.719817%-42.719817%-42.7%9.442%9.44%16.483%16.5%26.756962%26.756962%+26.8%51.478%51.5%40.611%40.6%18.740557%18.740557%+18.7%9.524%9.52%8.021%8.02%7.304947%7.304947%+7.3%2.791%2.79%2.601%2.60%124.452462%124.452462%+124.5%1.888%1.89%0.841%0.84%
% percentage with given level in Mount Wolf
ref. percentage with given level in York 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 York County and Mount Wolf
More Females More Males
York County
Mount Wolf
50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-85.599753%-8.547071%-85.599753%86%32.397%32.4%17.455%17.5%27.328661%2.440604%27.328661%27%53.554%53.6%68.189%68.2%2.178294%10.996507%2.178294%2%14.050%14.0%14.356%14.4%
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 York County and Mount Wolf
More Females More Males
York County
Mount Wolf
0%500%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None48.042414%52.571994%48.042414%48%0.661%0.66%0.979%0.98%-96.684492%-22.138382%-96.684492%97%5.455%5.45%2.773%2.77%-82.874420%-3.594227%-82.874420%83%12.231%12.2%6.688%6.69%-100.288295%-25.961455%-100.288295%100%14.050%14.0%7.015%7.01%32.936046%2.378797%32.936046%33%8.099%8.10%10.767%10.8%26.329527%2.465701%26.329527%26%45.455%45.5%57.423%57.4%-59.864096%-59.864096%60%9.913883%11.736%11.7%7.341%7.34%919.847743%4.324637%919.847743%920%0.496%0.50%5.057%5.06%7.667210%48.049911%7.667210%8%1.818%1.82%1.958%1.96%
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 York County and Mount Wolf
Mount Wolf
York County
0%5%10%15%20%B.X.Total65+45-6435-4425-343.529412%8.736515%3.529412%3.5%123409.629630%14.155555%9.629630%9.6%394059.550562%18.609451%9.550562%9.6%1717815.932203%21.925063%15.932203%15.9%47295
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 York County at large.
Scope: population of York County and Mount Wolf
50%40%30%20%10%0%%ref.65+45-6435-4425-34-59.601605%-59.601605%59.6%3.529%3.53%8.737%8.74%-31.972784%-31.972784%32.0%9.630%9.63%14.156%14.2%-48.678972%-48.678972%48.7%9.551%9.55%18.609%18.6%-27.333375%-27.333375%27.3%15.932%15.9%21.925%21.9%
% percentage in Mount Wolf with a Bachelor's degree
ref percentage in York 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 York County and Mount Wolf
More Females More Males
York County
Mount Wolf
400%200%0%FM65+45-6435-4425-3425.165563%73.161966%25.165563%25.2%3.175%3.17%3.974%3.97%-563.414634%-4.492225%-563.414634%563.4%16.585%16.6%2.500%2.50%-23.705842%7.554945%7.554945%7.6%9.195%9.20%9.890%9.89%-70.737327%-28.766672%-70.737327%70.7%20.968%21.0%12.281%12.3%
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 York County and Mount Wolf
Mount Wolf
York County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$80,250.000000$67,804.000000$80,250.000000$80.3k604.926%4.93%$54,464.000000$51,728.000000$54,464.000000$54.5k1159.442%9.44%$49,000.000000$37,897.000000$49,000.000000$49.0k24319.951%20.0%$34,013.000000$31,882.000000$34,013.000000$34.0k62751.478%51.5%$27,955.000000$23,268.000000$27,955.000000$28.0k17314.204%14.2%$38,281.000000$38,005.000000$38,281.000000$38.3k1,218100.000%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 York County and Mount Wolf
Female Male
York County
Mount Wolf
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-50,500.000000$-41,642.000000$-50,500.000000$50.5k$50,500.000000$19,768.000000$41,642.000000$22,300.000000$70,268.000000$70.3k7441$-29,773.000000$-31,080.000000$-29,773.000000$29.8k$29,773.000000$26,417.000000$31,080.000000$15,865.000000$56,190.000000$56.2k134109$-21,389.000000$-25,126.000000$-21,389.000000$21.4k$21,389.000000$14,932.000000$25,126.000000$14,931.000000$36,321.000000$36.3k275352$-32,250.000000$-30,802.000000$-32,250.000000$32.3k$32,250.000000$11,292.000000$30,802.000000$14,931.000000$43,542.000000$43.5k605613
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 York County and Mount Wolf
Mount Wolf
York County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.206897%84.819779%86.206897%86.2%12587.980769%80.222328%87.980769%88.0%18373.804100%74.400742%73.804100%73.8%32467.441860%51.811506%67.441860%67.4%58
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 York County and Mount Wolf
Female Male
York County
Mount Wolf
Shaded bar tips show excess over facing bar.
20%0%20%40%60%80%100%MFWhite1Hispanic2Other1-13.432836%-1.375527%-9.863848%-14.808362%14.8%13.432836%9.863848%0.804396%13.432836%13.4%8185-0.000000%-22.303186%0.000000%0.0%0.000000%100.000000%22.303186%9.770497%100.000000%100.0%70-0.000000%-15.327793%0.000000%0.0%0.000000%0.000000%15.327793%7.973461%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 York County and Mount Wolf
Female Male
York County
Mount Wolf
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Hispanic2Other1-10.613599%-8.375948%-23.549116%-0.298331%-18.989547%19.0%10.613599%23.549116%10.613599%10.6%64109-0.000000%-11.106596%-4.138439%0.000000%0.0%0.000000%0.000000%11.106596%0.000000%0.0%00-0.000000%-16.004925%0.000000%0.0%0.000000%0.000000%16.004925%0.617998%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 York Area

There are 72 county subdivisions in the York Area. This section compares Mount Wolf to the 50 most populous county subdivisions in the York Area and to those entities that contain or substantially overlap with Mount Wolf. The least populous of the compared county subdivisions has a population of 1,913.

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 Mount Wolf, selected other county subdivisions in the York Area, and entities that contain Mount Wolf
0%5%10%15%20%Count#WrightsvilleYorkPeach Bottom TownshipPeach BottomLower Chanceford TownshipLower ChancefordParadise TownshipParadiseLower Windsor TownshipLower WindsorRed LionConewago TownshipConewagoFawn TownshipChanceford TownshipChancefordHanoverDallastownMount WolfMount WolfWarrington TownshipWarringtonDoverWashington TownshipWashingtonUnited States of AmericaUnited StatesHeidelberg TownshipHeidelbergNortheastern York School DistrictNE YorkMiddle AtlanticManchesterShrewsbury TownshipShrewsburyHellam TownshipHellam021020Tract 021020NortheastYork and Hanover Metro AreaYork AreaYork CountyYorkSpringettsbury TownshipSpringettsburyNorth Codorus TownshipN CodorusWest Manchester TownshipW ManchesterPenn TownshipEast Hopewell TownshipE HopewellCodorus TownshipCodorusDover TownshipDoverWest YorkPennsylvaniaWest Manheim TownshipW ManheimZIP Code 17347ZIP 17347Newberry TownshipNewberryFranklin TownshipFranklinNorth Hopewell TownshipN HopewellWindsor TownshipWindsorGlen RockDillsburgYork TownshipMonaghan TownshipMonaghanJackson TownshipJacksonHopewell TownshipHopewellShrewsburyEast Manchester TownshipE ManchesterSpring GroveSpringfield TownshipSpringfieldSpring Garden TownshipSpg GdnCarroll TownshipCarrollHallamJacobusManheim TownshipManheimManchester TownshipManchesterFairview TownshipFairviewNew Freedom22.228844%22.228844%22.2%373121.603181%21.603181%21.6%5,541218.923767%18.923767%18.9%633316.853385%16.853385%16.9%346416.637293%16.637293%16.6%472516.597360%16.597360%16.6%918615.913508%15.913508%15.9%655715.782759%15.782759%15.8%866814.856883%14.856883%14.9%327914.795679%14.795679%14.8%6301014.557432%14.557432%14.6%1,5691114.376400%14.376400%14.4%3851214.203612%14.203612%14.2%17314.203612%14.203612%14.2%17313.799833%13.799833%13.8%4951313.392200%13.392200%13.4%1821413.241309%13.241309%13.2%2591513.020590%13.020590%13.0%27,818,38027.8M12.885154%12.885154%12.9%2761612.578845%12.578845%12.6%2,07412.313400%12.313400%12.3%3,505,1913.51M12.195122%12.195122%12.2%2451712.103132%12.103132%12.1%5681811.723989%11.723989%11.7%5421911.639004%11.639004%11.6%56111.614335%11.614335%11.6%4,487,0854.49M11.463427%11.463427%11.5%34,90934.9k11.463427%11.463427%11.5%34,90934.9k11.256641%11.256641%11.3%2,1402010.901140%10.901140%10.9%6982110.730446%10.730446%10.7%1,4942210.656384%10.656384%10.7%1,2162310.631040%10.631040%10.6%1872410.615114%10.615114%10.6%3022510.548913%10.548913%10.5%1,5972610.522648%10.522648%10.5%3022710.459911%10.459911%10.5%925,686926k10.378378%10.378378%10.4%5762810.306341%10.306341%10.3%43410.044935%10.044935%10.0%1,073299.917127%9.917127%9.9%359309.620128%9.620128%9.6%195319.401434%9.401434%9.4%1,167329.056604%9.056604%9.1%120338.865048%8.865048%8.9%157348.805520%8.805520%8.8%1,812358.644501%8.644501%8.6%169368.467232%8.467232%8.5%469378.464888%8.464888%8.5%311387.577375%7.577375%7.6%213397.123739%7.123739%7.1%346406.670943%6.670943%6.7%104416.581633%6.581633%6.6%258426.513314%6.513314%6.5%521436.418998%6.418998%6.4%273446.378378%6.378378%6.4%118456.303502%6.303502%6.3%81466.254949%6.254949%6.3%158476.014737%6.014737%6.0%751485.934048%5.934048%5.9%709494.463407%4.463407%4.5%13650
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 Mount Wolf, selected other county subdivisions in the York Area, and entities that contain Mount Wolf
0%10%20%30%40%Count#Spring Garden TownshipSpg GdnCarroll TownshipCarrollNew FreedomFairview TownshipFairviewNortheastMonaghan TownshipMonaghanYork TownshipMiddle AtlanticManchester TownshipManchesterSpringfield TownshipSpringfieldHopewell TownshipHopewellUnited States of AmericaUnited StatesShrewsbury TownshipShrewsburyPennsylvaniaSpringettsbury TownshipSpringettsburyDillsburgShrewsburyWest Manheim TownshipW ManheimGlen RockJacobusHellam TownshipHellamZIP Code 17347ZIP 17347Windsor TownshipWindsorYork and Hanover Metro AreaYork AreaYork CountyYorkConewago TownshipConewagoManheim TownshipManheimWest Manchester TownshipW ManchesterFranklin TownshipFranklinEast Manchester TownshipE ManchesterJackson TownshipJacksonNewberry TownshipNewberryManchesterDover TownshipDoverNorth Hopewell TownshipN HopewellHeidelberg TownshipHeidelbergNortheastern York School DistrictNE YorkCodorus TownshipCodorusNorth Codorus TownshipN CodorusEast Hopewell TownshipE HopewellHanover021020Tract 021020Penn TownshipSpring GroveDoverHallamParadise TownshipParadiseFawn TownshipMount WolfMount WolfLower Windsor TownshipLower WindsorLower Chanceford TownshipLower ChancefordWarrington TownshipWarringtonDallastownYorkWashington TownshipWashingtonPeach Bottom TownshipPeach BottomRed LionChanceford TownshipChancefordWest YorkWrightsville42.817852%42.817852%42.8%3,425141.970374%41.970374%42.0%1,785240.728585%40.728585%40.7%1,241334.892869%34.892869%34.9%4,169434.780899%34.780899%34.8%13,437,26113.4M34.526854%34.526854%34.5%675533.900282%33.900282%33.9%6,976633.644618%33.644618%33.6%9,577,4379.58M33.621656%33.621656%33.6%4,198732.576531%32.576531%32.6%1,277831.763745%31.763745%31.8%1,167930.315023%30.315023%30.3%64,767,78764.8M29.789048%29.789048%29.8%1,3981029.333279%29.333279%29.3%2,595,9502.60M26.952817%26.952817%27.0%5,1241126.708075%26.708075%26.7%4731225.862682%25.862682%25.9%7271325.837838%25.837838%25.8%1,4341425.660377%25.660377%25.7%3401525.136187%25.136187%25.1%3231624.853991%24.853991%24.9%1,1491723.771076%23.771076%23.8%1,00123.612342%23.612342%23.6%2,9311823.115344%23.115344%23.1%70,39270.4k23.115344%23.115344%23.1%70,39270.4k22.671770%22.671770%22.7%1,2441922.644497%22.644497%22.6%5722022.588523%22.588523%22.6%3,1452122.486188%22.486188%22.5%8142222.380070%22.380070%22.4%1,0872322.368659%22.368659%22.4%1,2392421.877925%21.877925%21.9%2,3372521.055251%21.055251%21.1%4232620.939296%20.939296%20.9%3,1702720.868278%20.868278%20.9%4232820.354809%20.354809%20.4%4362920.354197%20.354197%20.4%3,35620.070299%20.070299%20.1%5713019.912541%19.912541%19.9%1,2753119.556566%19.556566%19.6%3443218.537762%18.537762%18.5%1,9983318.381743%18.381743%18.4%88618.192972%18.192972%18.2%2,0763417.254650%17.254650%17.3%2693517.071376%17.071376%17.1%2323616.324324%16.324324%16.3%3023715.297850%15.297850%15.3%4343815.084053%15.084053%15.1%3323914.367816%14.367816%14.4%17514.367816%14.367816%14.4%17513.921533%13.921533%13.9%7704013.735996%13.735996%13.7%2824112.071369%12.071369%12.1%4334211.911875%11.911875%11.9%3194311.708059%11.708059%11.7%3,0034411.707566%11.707566%11.7%2294511.539611%11.539611%11.5%3864611.054422%11.054422%11.1%4554710.756224%10.756224%10.8%458489.860627%9.860627%9.9%283498.522050%8.522050%8.5%14350
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 Mount Wolf, selected other county subdivisions in the York Area, and entities that contain Mount Wolf
0%2%4%6%8%Count#Spring Garden TownshipSpg GdnCarroll TownshipCarrollManchester TownshipManchesterNortheastMiddle AtlanticSpringfield TownshipSpringfieldYork TownshipUnited States of AmericaUnited StatesPennsylvaniaMonaghan TownshipMonaghanJackson TownshipJacksonManheim TownshipManheimFairview TownshipFairviewNew FreedomFranklin TownshipFranklinHellam TownshipHellamLower Windsor TownshipLower WindsorShrewsbury TownshipShrewsburyShrewsburyHopewell TownshipHopewellJacobusYork and Hanover Metro AreaYork AreaYork CountyYorkWindsor TownshipWindsorSpringettsbury TownshipSpringettsburyHanoverDillsburgNorth Hopewell TownshipN HopewellDover TownshipDoverCodorus TownshipCodorusZIP Code 17347ZIP 17347North Codorus TownshipN CodorusLower Chanceford TownshipLower ChancefordPeach Bottom TownshipPeach BottomHeidelberg TownshipHeidelbergFawn TownshipWest Manheim TownshipW ManheimPenn TownshipEast Manchester TownshipE ManchesterWest Manchester TownshipW ManchesterWest YorkMount WolfMount WolfConewago TownshipConewagoYorkWarrington TownshipWarringtonNewberry TownshipNewberryNortheastern York School DistrictNE YorkChanceford TownshipChancefordEast Hopewell TownshipE HopewellGlen RockDoverWashington TownshipWashingtonWrightsvilleParadise TownshipParadise021020Tract 021020Red LionDallastownManchesterHallamSpring Grove8.351044%8.351044%8.4%66816.348460%6.348460%6.3%27024.709274%4.709274%4.7%58834.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.826531%3.826531%3.8%15043.780737%3.780737%3.8%77853.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.171355%3.171355%3.2%6262.996931%2.996931%3.0%16672.810768%2.810768%2.8%7182.778708%2.778708%2.8%33292.756810%2.756810%2.8%84102.679558%2.679558%2.7%97112.574086%2.574086%2.6%119122.368469%2.368469%2.4%131132.343916%2.343916%2.3%110142.170046%2.170046%2.2%61152.095808%2.095808%2.1%77162.023346%2.023346%2.0%26171.991298%1.991298%2.0%6,0641.991298%1.991298%2.0%6,0641.917345%1.917345%1.9%238181.867340%1.867340%1.9%355191.809241%1.809241%1.8%195201.806889%1.806889%1.8%32211.677356%1.677356%1.7%34221.499439%1.499439%1.5%227231.441125%1.441125%1.4%41241.401092%1.401092%1.4%591.327503%1.327503%1.3%85251.315149%1.315149%1.3%27261.285501%1.285501%1.3%43271.260504%1.260504%1.3%27281.181281%1.181281%1.2%26291.153153%1.153153%1.2%64301.077907%1.077907%1.1%123311.008853%1.008853%1.0%49320.983983%0.983983%1.0%137330.975610%0.975610%1.0%28340.821018%0.821018%0.8%100.821018%0.821018%0.8%100.820120%0.820120%0.8%45350.814847%0.814847%0.8%209360.780597%0.780597%0.8%28370.758285%0.758285%0.8%81380.752062%0.752062%0.8%1240.728041%0.728041%0.7%31390.682206%0.682206%0.7%12400.452830%0.452830%0.5%6410.441501%0.441501%0.4%6420.357873%0.357873%0.4%7430.357569%0.357569%0.4%6440.246740%0.246740%0.2%7450.207469%0.207469%0.2%100.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%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 Mount Wolf, selected other county subdivisions in the York Area, and entities that contain Mount Wolf
Female
Male
3x2x1x0x1x2xFM#HopewellDoverConewagoFawn TownshipSpring GroveCodorusParadiseSpringettsburyRed LionFairviewNE YorkJacobusZIP 17347Glen RockDoverE ManchesterManchesterWindsorDallastownLower ChancefordE HopewellPeach BottomPenn TownshipHanoverW ManheimN CodorusN HopewellYork AreaYorkUnited StatesCarrollWrightsvillePennsylvaniaTract 021020NortheastYorkShrewsburyW ManchesterManchesterMiddle AtlanticManheimJacksonMonaghanWest YorkMount WolfMount WolfChancefordLower WindsorDillsburgNewberryWashingtonWarringtonFranklinHallamHeidelbergSpg GdnYork TownshipHellamSpringfieldShrewsburyNew Freedom-1.000000x-1.000000x2.085281x2.085281x2.09x5.547%5.55%11.567%11.6%1-1.000000x-1.000000x1.836801x1.836801x1.84x9.403%9.40%17.271%17.3%2-1.000000x-1.000000x1.757140x1.757140x1.76x11.440%11.4%20.102%20.1%3-1.000000x-1.000000x1.646311x1.646311x1.65x11.307%11.3%18.616%18.6%4-1.000000x-1.000000x1.636098x1.636098x1.64x5.150%5.15%8.425%8.43%5-1.000000x-1.000000x1.565417x1.565417x1.57x8.304%8.30%13.000%13.0%6-1.000000x-1.000000x1.467885x1.467885x1.47x13.368%13.4%19.622%19.6%7-1.000000x-1.000000x1.457284x1.457284x1.46x9.165%9.17%13.357%13.4%8-1.000000x-1.000000x1.430950x1.430950x1.43x13.462%13.5%19.264%19.3%9-1.000000x-1.000000x1.419586x1.419586x1.42x4.925%4.92%6.991%6.99%10-1.000000x-1.000000x1.406631x1.406631x1.41x10.447%10.4%14.695%14.7%-1.000000x-1.000000x1.406224x1.406224x1.41x5.247%5.25%7.378%7.38%11-1.000000x-1.000000x1.398556x1.398556x1.40x8.608%8.61%12.038%12.0%-1.000000x-1.000000x1.371446x1.371446x1.37x7.646%7.65%10.486%10.5%12-1.000000x-1.000000x1.292120x1.292120x1.29x9.268%9.27%11.975%12.0%13-1.000000x-1.000000x1.287568x1.287568x1.29x6.213%6.21%8.000%8.00%14-1.000000x-1.000000x1.280984x1.280984x1.28x5.310%5.31%6.802%6.80%15-1.000000x-1.000000x1.277661x1.277661x1.28x8.293%8.29%10.596%10.6%16-1.000000x-1.000000x1.253118x1.253118x1.25x12.800%12.8%16.040%16.0%17-1.000000x-1.000000x1.250834x1.250834x1.25x14.919%14.9%18.662%18.7%18-1.000000x-1.000000x1.231822x1.231822x1.23x9.518%9.52%11.725%11.7%19-1.000000x-1.000000x1.194468x1.194468x1.19x17.274%17.3%20.633%20.6%20-1.000000x-1.000000x1.180392x1.180392x1.18x9.799%9.80%11.567%11.6%21-1.000000x-1.000000x1.168809x1.168809x1.17x13.489%13.5%15.767%15.8%22-1.000000x-1.000000x1.164017x1.164017x1.16x9.617%9.62%11.194%11.2%23-1.000000x-1.000000x1.155006x1.155006x1.16x10.113%10.1%11.681%11.7%24-1.000000x-1.000000x1.125860x1.125860x1.13x9.036%9.04%10.173%10.2%25-1.000000x-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106112x1.106112x1.11x6.099%6.10%6.746%6.75%26-1.000000x-1.000000x1.095019x1.095019x1.10x21.329%21.3%23.356%23.4%27-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.081618x1.081618x1.08x11.172%11.2%12.084%12.1%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%28-1.000000x-1.000000x1.066045x1.066045x1.07x11.736%11.7%12.511%12.5%29-1.000000x-1.000000x1.064597x1.064597x1.06x10.404%10.4%11.077%11.1%30-1.000000x-1.000000x1.060718x1.060718x1.06x11.845%11.8%12.564%12.6%31-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.043853x1.043853x1.04x6.129%6.13%6.397%6.40%32-1.000000x-1.000000x1.038565x1.038565x1.04x8.313%8.31%8.634%8.63%33-1.000000x-1.000000x1.035998x1.035998x1.04x8.493%8.49%8.799%8.80%34-1.000000x-1.000000x1.028332x1.028332x1.03x10.385%10.4%10.680%10.7%35-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-1.000000x-1.000000x1.016972x1.016972x1.02x14.678%14.7%14.928%14.9%36-1.000000x-1.000000x1.006221x1.006221x1.01x16.546%16.5%16.649%16.6%37-1.000000x-1.000000x1.004744x1.004744x1.00x8.847%8.85%8.889%8.89%38-1.005541x-1.005541x1.01x1.000000x1.000000x10.072%10.1%10.017%10.0%39-1.016552x-1.016552x1.02x1.000000x1.000000x13.355%13.4%13.137%13.1%40-1.036190x-1.036190x1.04x1.000000x1.000000x14.038%14.0%13.548%13.5%41-1.093489x-1.093489x1.09x1.000000x1.000000x10.356%10.4%9.471%9.47%42-1.148365x-1.148365x1.15x1.000000x1.000000x6.771%6.77%5.897%5.90%43-1.230393x-1.230393x1.23x1.000000x1.000000x14.219%14.2%11.556%11.6%44-1.304996x-1.304996x1.30x1.000000x1.000000x7.310%7.31%5.602%5.60%45-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%46-1.576206x-1.576206x1.58x1.000000x1.000000x14.304%14.3%9.075%9.07%47-1.872233x-1.872233x1.87x1.000000x1.000000x8.451%8.45%4.514%4.51%48-2.994268x-2.994268x2.99x1.000000x1.000000x11.196%11.2%3.739%3.74%49-3.319669x-3.319669x3.32x1.000000x1.000000x6.747%6.75%2.033%2.03%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 Mount Wolf, selected other county subdivisions in the York Area, and entities that contain Mount Wolf
Female
Male
10x5x0x5x10xFM#West YorkParadiseWrightsvilleHopewellE ManchesterN HopewellZIP 17347NE YorkWindsorConewagoSpringfieldSpringettsburyN CodorusManheimNew FreedomDillsburgSpg GdnHanoverDoverCarrollYorkFairviewE HopewellLower WindsorYork TownshipYork AreaYorkShrewsburyPennsylvaniaUnited StatesMiddle AtlanticNortheastMount WolfMount WolfPenn TownshipFawn TownshipTract 021020JacobusLower ChancefordJacksonShrewsburyNewberryW ManheimMonaghanHeidelbergWarringtonCodorusManchesterHellamPeach BottomFranklinW ManchesterChancefordWashingtonDoverGlen Rock-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.091%2.09%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.472%0.47%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.805%0.81%3-1.000000x-1.000000x5.232670x5.232670x5.23x0.687%0.69%3.593%3.59%4-1.000000x-1.000000x4.277441x4.277441x4.28x0.378%0.38%1.616%1.62%5-1.000000x-1.000000x3.646148x3.646148x3.65x0.711%0.71%2.591%2.59%6-1.000000x-1.000000x3.608043x3.608043x3.61x0.611%0.61%2.206%2.21%-1.000000x-1.000000x3.565675x3.565675x3.57x0.329%0.33%1.172%1.17%-1.000000x-1.000000x3.197584x3.197584x3.20x0.932%0.93%2.980%2.98%7-1.000000x-1.000000x3.074056x3.074056x3.07x0.402%0.40%1.236%1.24%8-1.000000x-1.000000x2.941390x2.941390x2.94x1.991%1.99%5.857%5.86%9-1.000000x-1.000000x2.913026x2.913026x2.91x0.955%0.96%2.783%2.78%10-1.000000x-1.000000x2.832500x2.832500x2.83x0.691%0.69%1.957%1.96%11-1.000000x-1.000000x2.681578x2.681578x2.68x1.570%1.57%4.209%4.21%12-1.000000x-1.000000x2.511897x2.511897x2.51x1.591%1.59%3.997%4.00%13-1.000000x-1.000000x2.510517x2.510517x2.51x1.093%1.09%2.745%2.75%14-1.000000x-1.000000x2.477610x2.477610x2.48x4.944%4.94%12.249%12.2%15-1.000000x-1.000000x2.428637x2.428637x2.43x1.083%1.08%2.631%2.63%16-1.000000x-1.000000x2.347783x2.347783x2.35x0.915%0.92%2.149%2.15%17-1.000000x-1.000000x2.110430x2.110430x2.11x4.097%4.10%8.646%8.65%18-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%19-1.000000x-1.000000x1.976196x1.976196x1.98x1.882%1.88%3.718%3.72%20-1.000000x-1.000000x1.966178x1.966178x1.97x0.459%0.46%0.902%0.90%21-1.000000x-1.000000x1.963735x1.963735x1.96x1.597%1.60%3.135%3.14%22-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%23-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-1.000000x-1.000000x1.668092x1.668092x1.67x1.781%1.78%2.970%2.97%24-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-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-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-1.000000x-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-1.000000x-1.000000x1.450521x1.450521x1.45x0.885%0.88%1.283%1.28%25-1.000000x-1.000000x1.444000x1.444000x1.44x0.972%0.97%1.403%1.40%26-1.000000x-1.000000x1.431873x1.431873x1.43x0.170%0.17%0.243%0.24%-1.000000x-1.000000x1.387184x1.387184x1.39x1.698%1.70%2.355%2.35%27-1.000000x-1.000000x1.359952x1.359952x1.36x1.109%1.11%1.508%1.51%28-1.000000x-1.000000x1.188491x1.188491x1.19x2.748%2.75%3.266%3.27%29-1.000000x-1.000000x1.170594x1.170594x1.17x2.004%2.00%2.346%2.35%30-1.000000x-1.000000x1.148656x1.148656x1.15x0.706%0.71%0.811%0.81%31-1.000000x-1.000000x1.139986x1.139986x1.14x1.080%1.08%1.231%1.23%32-1.000000x-1.000000x1.092063x1.092063x1.09x3.033%3.03%3.313%3.31%33-1.000000x-1.000000x1.072908x1.072908x1.07x1.216%1.22%1.305%1.30%34-1.000000x-1.000000x1.059127x1.059127x1.06x0.759%0.76%0.804%0.80%35-1.017301x-1.017301x1.02x1.000000x1.000000x1.453%1.45%1.429%1.43%36-1.192535x-1.192535x1.19x1.000000x1.000000x5.098%5.10%4.275%4.27%37-1.212848x-1.212848x1.21x1.000000x1.000000x2.818%2.82%2.324%2.32%38-1.340743x-1.340743x1.34x1.000000x1.000000x1.469%1.47%1.096%1.10%39-1.343401x-1.343401x1.34x1.000000x1.000000x3.068%3.07%2.284%2.28%40-1.447645x-1.447645x1.45x1.000000x1.000000x1.158%1.16%0.800%0.80%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.375%1.37%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.748%0.75%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.896%0.90%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.900%0.90%0.000%0%45
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 45 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares Mount Wolf to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Mount Wolf. 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 Mount Wolf, selected other county subdivisions in Pennsylvania, and entities that contain Mount Wolf
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonMount WolfMount WolfUnited States of AmericaUnited StatesErieWilliamsportNortheastern York School DistrictNE YorkBethlehemMiddle AtlanticBristol TownshipBristol021020Tract 021020NortheastYork and Hanover Metro AreaYork AreaYork CountyYorkAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaZIP Code 17347ZIP 17347Warminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541014.203612%14.203612%14.2%17314.203612%14.203612%14.2%17313.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.578845%12.578845%12.6%2,07412.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.639004%11.639004%11.6%56111.614335%11.614335%11.6%4,487,0854.49M11.463427%11.463427%11.5%34,90934.9k11.463427%11.463427%11.5%34,90934.9k10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k10.306341%10.306341%10.3%4349.749015%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 Mount Wolf, selected other county subdivisions in Pennsylvania, and entities that contain Mount Wolf
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyZIP Code 17347ZIP 17347York and Hanover Metro AreaYork AreaYork CountyYorkFalls TownshipFallsErieScrantonNorristownNortheastern York School DistrictNE YorkWilliamsportLancaster021020Tract 021020HarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolMount WolfMount WolfYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603623.771076%23.771076%23.8%1,00123.115344%23.115344%23.1%70,39270.4k23.115344%23.115344%23.1%70,39270.4k21.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424020.354197%20.354197%20.4%3,35619.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.381743%18.381743%18.4%88618.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934714.367816%14.367816%14.4%17514.367816%14.367816%14.4%17511.708059%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 Mount Wolf, selected other county subdivisions in Pennsylvania, and entities that contain Mount Wolf
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterYork and Hanover Metro AreaYork AreaYork CountyYorkScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumZIP Code 17347ZIP 17347NorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolMount WolfMount WolfYorkNortheastern York School DistrictNE YorkChesterReading021020Tract 02102023.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.991298%1.991298%2.0%6,0641.991298%1.991298%2.0%6,0641.944901%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%309411.401092%1.401092%1.4%591.383231%1.383231%1.4%309421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.821018%0.821018%0.8%100.821018%0.821018%0.8%100.814847%0.814847%0.8%209480.752062%0.752062%0.8%1240.549179%0.549179%0.5%111490.454500%0.454500%0.5%227500.207469%0.207469%0.2%10
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 Mount Wolf, selected other county subdivisions in Pennsylvania, and entities that contain Mount Wolf
Female
Male
2x1x0x1x2xFM#RadnorShalerNE YorkZIP 17347AltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimYork AreaYorkUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaTract 021020NortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingErieMount WolfMount WolfPlumLower 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-1.000000x1.406631x1.406631x1.41x10.447%10.4%14.695%14.7%-1.000000x-1.000000x1.398556x1.398556x1.40x8.608%8.61%12.038%12.0%-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-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.081618x1.081618x1.08x11.172%11.2%12.084%12.1%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%22-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%24-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-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 Mount Wolf, selected other county subdivisions in Pennsylvania, and entities that contain Mount Wolf
Female
Male
1x0x1x2x3x4xFM#FallsSpgZIP 17347NE YorkChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipYork AreaYorkRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastMount WolfMount WolfRidleyTract 021020PittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x3.608043x3.608043x3.61x0.611%0.61%2.206%2.21%-1.000000x-1.000000x3.565675x3.565675x3.57x0.329%0.33%1.172%1.17%-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%21-1.000000x-1.000000x1.837949x1.837949x1.84x4.437%4.44%8.155%8.15%22-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-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-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-1.000000x-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%37-1.000000x-1.000000x1.431873x1.431873x1.43x0.170%0.17%0.243%0.24%-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 Mount Wolf to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Mount Wolf. 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 Mount Wolf, selected other county subdivisions in the Northeast, and entities that contain Mount Wolf
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonMount WolfMount WolfJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterNortheastern York School DistrictNE YorkTown of BabylonBabylonMiddle Atlantic021020Tract 021020NortheastYork and Hanover Metro AreaYork AreaYork CountyYorkStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadZIP Code 17347ZIP 17347AlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.203612%14.203612%14.2%17314.203612%14.203612%14.2%17314.106563%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%9,6163112.578845%12.578845%12.6%2,07412.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.639004%11.639004%11.6%56111.614335%11.614335%11.6%4,487,0854.49M11.463427%11.463427%11.5%34,90934.9k11.463427%11.463427%11.5%34,90934.9k11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.306341%10.306341%10.3%43410.256196%10.256196%10.3%6,145379.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Mount Wolf, selected other county subdivisions in the Northeast, and entities that contain Mount Wolf
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloZIP Code 17347ZIP 17347RochesterYork and Hanover Metro AreaYork AreaYork CountyYorkLowellErieNortheastern York School DistrictNE YorkLynnBronx021020Tract 021020Town of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyMount WolfMount WolfNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.771076%23.771076%23.8%1,00123.661076%23.661076%23.7%31,24831.2k3623.115344%23.115344%23.1%70,39270.4k23.115344%23.115344%23.1%70,39270.4k22.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3820.354197%20.354197%20.4%3,35619.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4018.381743%18.381743%18.4%88617.869695%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%10,47710.5k4714.367816%14.367816%14.4%17514.367816%14.367816%14.4%17513.654578%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 Mount Wolf, selected other county subdivisions in the Northeast, and entities that contain Mount Wolf
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodYork and Hanover Metro AreaYork AreaYork CountyYorkLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldZIP Code 17347ZIP 17347LynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonMount WolfMount WolfNortheastern York School DistrictNE YorkPaterson021020Tract 02102019.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.991298%1.991298%2.0%6,0641.991298%1.991298%2.0%6,0641.961931%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%1,401431.401092%1.401092%1.4%591.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.821018%0.821018%0.8%100.821018%0.821018%0.8%100.752062%0.752062%0.8%1240.572354%0.572354%0.6%523500.207469%0.207469%0.2%10
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 Mount Wolf, selected other county subdivisions in the Northeast, and entities that contain Mount Wolf
Female
Male
1x0x1xFM#NE YorkZIP 17347StamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterYork AreaYorkUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersTract 021020SyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodMount WolfMount WolfBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.406631x1.406631x1.41x10.447%10.4%14.695%14.7%-1.000000x-1.000000x1.398556x1.398556x1.40x8.608%8.61%12.038%12.0%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.081618x1.081618x1.08x11.172%11.2%12.084%12.1%-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-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 Mount Wolf, selected other county subdivisions in the Northeast, and entities that contain Mount Wolf
Female
Male
1x0x1x2x3xFM#ZIP 17347NE YorkLakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayYork AreaYorkGreenburghManchesterPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastMount WolfMount WolfRamapoAlbanyGreeceHartfordTract 021020QuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x3.608043x3.608043x3.61x0.611%0.61%2.206%2.21%-1.000000x-1.000000x3.565675x3.565675x3.57x0.329%0.33%1.172%1.17%-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-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-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-1.000000x-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-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-1.000000x1.431873x1.431873x1.43x0.170%0.17%0.243%0.24%-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 Mount Wolf to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Mount Wolf. 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 Mount Wolf, selected other county subdivisions in the United States, and entities that contain Mount Wolf
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonMount WolfMount WolfSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseNortheastern York School DistrictNE YorkSan FranciscoMiddle AtlanticTucsonAlbuquerque021020Tract 021020NortheastTownship 1:Charlotte1, CharlotteYork and Hanover Metro AreaYork AreaYork CountyYorkColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadZIP Code 17347ZIP 17347Northwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2714.203612%14.203612%14.2%17314.203612%14.203612%14.2%17313.900512%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%153,604154k3512.578845%12.578845%12.6%2,07412.559735%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%52,21752.2k3811.639004%11.639004%11.6%56111.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.463427%11.463427%11.5%34,90934.9k11.463427%11.463427%11.5%34,90934.9k11.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.306341%10.306341%10.3%43410.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Mount Wolf, selected other county subdivisions in the United States, and entities that contain Mount Wolf
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthZIP Code 17347ZIP 17347Southwest DallasSW DallasMilwaukeeYork and Hanover Metro AreaYork AreaYork CountyYorkFresnoLas VegasEl PasoNortheastern York School DistrictNE YorkBronx021020Tract 021020San BernardinoSan Antonio CentralSan Antonio CntrlMount WolfMount WolfDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.771076%23.771076%23.8%1,00123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4323.115344%23.115344%23.1%70,39270.4k23.115344%23.115344%23.1%70,39270.4k22.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4620.354197%20.354197%20.4%3,35619.131504%19.131504%19.1%173,169173k4718.381743%18.381743%18.4%88616.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4914.367816%14.367816%14.4%17514.367816%14.367816%14.4%17513.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Mount Wolf, selected other county subdivisions in the United States, and entities that contain Mount Wolf
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeYork and Hanover Metro AreaYork AreaYork CountyYorkSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxZIP Code 17347ZIP 17347DetroitMount WolfMount WolfNortheastern York School DistrictNE York021020Tract 02102012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.991298%1.991298%2.0%6,0641.991298%1.991298%2.0%6,0641.807306%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%15,06415.1k491.401092%1.401092%1.4%591.318660%1.318660%1.3%5,693500.821018%0.821018%0.8%100.821018%0.821018%0.8%100.752062%0.752062%0.8%1240.207469%0.207469%0.2%10
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 Mount Wolf, selected other county subdivisions in the United States, and entities that contain Mount Wolf
Female
Male
1x0x1xFM#NE YorkZIP 173471, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeYork AreaYorkUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoTract 021020AustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoMount WolfMount WolfBrooklynSan 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-1.000000x1.406631x1.406631x1.41x10.447%10.4%14.695%14.7%-1.000000x-1.000000x1.398556x1.398556x1.40x8.608%8.61%12.038%12.0%-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-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109965x1.109965x1.11x10.883%10.9%12.080%12.1%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.081618x1.081618x1.08x11.172%11.2%12.084%12.1%-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-1.000000x-1.000000x1.021783x1.021783x1.02x14.050%14.0%14.356%14.4%-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 Mount Wolf, selected other county subdivisions in the United States, and entities that contain Mount Wolf
Female
Male
1x0x1x2x3xFM#ZIP 17347NE YorkEl PasoSalt Lk CityPlanoYork AreaYorkTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantMount WolfMount WolfTampaSan Fernando VlyE San Gabriel VlyTract 021020HoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x3.608043x3.608043x3.61x0.611%0.61%2.206%2.21%-1.000000x-1.000000x3.565675x3.565675x3.57x0.329%0.33%1.172%1.17%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-1.000000x-1.000000x1.723407x1.723407x1.72x1.474%1.47%2.541%2.54%-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-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-1.000000x-1.000000x1.480424x1.480424x1.48x0.661%0.66%0.979%0.98%-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-1.000000x1.431873x1.431873x1.43x0.170%0.17%0.243%0.24%-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:
York
Metro Area:
York Area
Borough:
Mount Wolf
ZIP Code:
17347
Unified School District:
Northeastern York
Congressional District:
PA-4
State Senate District:
PA-48
State House District:
PA-47
Neighboring Townships:
East Manchester
Nearby Townships:
Conewago, Conoy, Hellam, Manchester, Newberry, Springettsbury, West Donegal