Educational Attainment in Reading, Berks County, Pennsylvania (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Berks County and Reading
Reading
Berks County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma214.818300%31.591554%14.818300%14.8%7,40150.597657%53.940852%50.597657%50.6%25,27125.3k34.584042%14.467594%34.584042%34.6%17,27317.3k
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 Berks County at large.
Scope: population of Berks County and Reading
-100%0%+100%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-53.094108%-53.094108%-53.1%14.818%14.8%31.592%31.6%-6.197890%-6.197890%-6.2%50.598%50.6%53.941%53.9%139.044881%139.044881%+139.0%34.584%34.6%14.468%14.5%
% percentage with given level in Reading
ref. percentage with given level in Berks 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 Berks County and Reading
Reading
Berks County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.166183%0.701315%0.166183%0.2%830.288317%1.118148%0.288317%0.3%1442.422665%6.544170%2.422665%2.4%1,2106.350986%15.254506%6.350986%6.4%3,1725.590149%7.973415%5.590149%5.6%2,79215.134648%15.872382%15.134648%15.1%7,55935.463009%38.068470%35.463009%35.5%17,71217.7k17.957754%8.894835%17.957754%18.0%8,96913.528882%4.408575%13.528882%13.5%6,7573.097407%1.164183%3.097407%3.1%1,547
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 Berks County at large.
Scope: population of Berks County and Reading
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-76.304122%-76.304122%-76.3%0.166%0.17%0.701%0.70%-74.214765%-74.214765%-74.2%0.288%0.29%1.118%1.12%-62.979800%-62.979800%-63.0%2.423%2.42%6.544%6.54%-58.366490%-58.366490%-58.4%6.351%6.35%15.255%15.3%-29.890150%-29.890150%-29.9%5.590%5.59%7.973%7.97%-4.647910%-4.647910%-4.6%15.135%15.1%15.872%15.9%-6.844143%-6.844143%-6.8%35.463%35.5%38.068%38.1%101.889674%101.889674%+101.9%17.958%18.0%8.895%8.89%206.876493%206.876493%+206.9%13.529%13.5%4.409%4.41%166.058375%166.058375%+166.1%3.097%3.10%1.164%1.16%
% percentage with given level in Reading
ref. percentage with given level in Berks 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 Berks County and Reading
More Females More Males
Berks County
Reading
10%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-18.750859%-8.542662%-18.750859%19%16.020%16.0%13.490%13.5%2.646836%2.404437%2.646836%3%49.969%50.0%51.292%51.3%3.548604%9.409731%3.548604%4%34.011%34.0%35.218%35.2%
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 Berks County and Reading
More Females More Males
Berks County
Reading
0%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-44.163147%-44.163147%44%67.886189%0.194%0.19%0.135%0.13%187.434762%93.511861%187.434762%187%0.153%0.15%0.438%0.44%-60.578919%-42.587788%-60.578919%61%2.951%2.95%1.838%1.84%-0.024684%7.120676%7.120676%7%6.143%6.14%6.581%6.58%-46.237494%-18.962538%-46.237494%46%6.578%6.58%4.498%4.50%-40.230142%-7.423948%-40.230142%40%17.522%17.5%12.495%12.5%19.568517%6.549080%19.568517%20%32.447%32.4%38.797%38.8%3.095955%11.724335%3.095955%3%17.698%17.7%18.245%18.2%2.026064%8.368350%2.026064%2%13.400%13.4%13.671%13.7%-3.445038%13.301157%13.301157%13%2.913%2.91%3.301%3.30%
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 Berks County and Reading
Reading
Berks County
0%5%10%15%B.X.Total65+45-6435-4425-345.914634%9.592487%5.914634%5.9%4858,2007.514134%15.338972%7.514134%7.5%1,36918,21918.2k5.730790%18.642038%5.730790%5.7%62510,90610.9k5.491284%19.223562%5.491284%5.5%69312,62012.6k
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 Berks County at large.
Scope: population of Berks County and Reading
60%40%20%0%%ref.65+45-6435-4425-34-38.340973%-38.340973%38.3%5.915%5.91%9.592%9.59%-51.012795%-51.012795%51.0%7.514%7.51%15.339%15.3%-69.258777%-69.258777%69.3%5.731%5.73%18.642%18.6%-71.434619%-71.434619%71.4%5.491%5.49%19.224%19.2%
% percentage in Reading with a Bachelor's degree
ref percentage in Berks 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 Berks County and Reading
More Females More Males
Berks County
Reading
20%10%0%10%20%30%40%FM65+45-6435-4425-3439.698610%42.989298%39.698610%39.7%5.104%5.10%7.130%7.13%-0.470415%1.163717%1.163717%1.2%7.471%7.47%7.558%7.56%-9.774431%-20.963171%-9.774431%9.8%5.991%5.99%5.457%5.46%-14.595434%13.085848%13.085848%13.1%5.161%5.16%5.837%5.84%
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 Berks County and Reading
Reading
Berks County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$43,281.000000$66,081.000000$43,281.000000$43.3k1,4372.877%2.88%$32,971.000000$50,761.000000$32,971.000000$33.0k3,1726.351%6.35%$24,323.000000$35,937.000000$24,323.000000$24.3k10,35110.4k20.725%20.7%$22,618.000000$32,243.000000$22,618.000000$22.6k17,71217.7k35.463%35.5%$18,384.000000$22,285.000000$18,384.000000$18.4k17,27317.3k34.584%34.6%$22,582.000000$37,389.000000$22,582.000000$22.6k49,94549.9k100.000%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 Berks County and Reading
Female Male
Berks County
Reading
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-39,760.000000$-4,678.000000$-58,032.000000$-44,438.000000$44.4k$39,760.000000$58,032.000000$24,601.000000$39,760.000000$39.8k865572$-28,190.000000$-42,313.000000$-28,190.000000$28.2k$28,190.000000$6,874.000000$42,313.000000$17,058.000000$35,064.000000$35.1k1,6111,561$-22,183.000000$-29,144.000000$-22,183.000000$22.2k$22,183.000000$8,541.000000$29,144.000000$16,835.000000$30,724.000000$30.7k6,3204,031$-19,828.000000$-25,751.000000$-19,828.000000$19.8k$19,828.000000$6,470.000000$25,751.000000$14,730.000000$26,298.000000$26.3k8,5099,203$-13,286.000000$-14,228.000000$-13,286.000000$13.3k$13,286.000000$11,024.000000$14,228.000000$16,057.000000$24,310.000000$24.3k8,9198,354$-18,413.000000$-30,585.000000$-18,413.000000$18.4k$18,413.000000$8,390.000000$30,585.000000$13,716.000000$26,803.000000$26.8k26,22426.2k23,72123.7k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Berks County and Reading
Reading
Berks County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%30.681818%00.000000%0.000000%0.0%32.954545%0100.000000%13.636364%100.000000%100.0%80.000000%0.000000%0.0%22.727273%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Berks County and Reading
Reading
Berks County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.684564%86.581818%78.684564%78.7%2,93165.934530%77.888496%65.934530%65.9%6,24459.495650%74.141819%59.495650%59.5%8,75350.982801%53.506655%50.982801%51.0%7,055
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Berks County and Reading
Female Male
Berks County
Reading
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-15.311496%-3.756108%-9.574798%-19.067604%19.1%15.311496%9.574798%0.791305%15.311496%15.3%1,1921,681-19.228316%-14.843193%-19.228316%19.2%19.228316%4.581207%14.843193%4.400973%23.809524%23.8%705603-45.833333%-18.647252%-45.833333%45.8%45.833333%0.285388%18.647252%5.467522%46.118721%46.1%101110-46.266864%-38.186645%-46.266864%46.3%46.266864%4.083167%38.186645%4.058969%50.350031%50.4%6,4736,550-46.903654%-39.360418%-46.903654%46.9%46.903654%2.890271%39.360418%0.893776%49.793925%49.8%3,2623,325
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Berks County and Reading
Female Male
Berks County
Reading
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-13.997278%-25.854860%-0.622924%-13.997278%14.0%13.997278%1.635349%25.854860%15.632627%15.6%1,2171,234-7.733874%-1.194698%-13.531870%-2.754658%-8.928571%8.9%7.733874%13.531870%7.733874%7.7%229280-14.583333%-35.932363%-14.583333%14.6%14.583333%0.485160%35.932363%3.322827%15.068493%15.1%3335-5.732732%-0.758757%-7.249663%-3.772392%-6.491488%6.5%5.732732%7.249663%5.732732%5.7%737919-4.747367%-3.631812%-7.849517%-4.650483%-8.379179%8.4%4.747367%7.849517%4.747367%4.7%311594
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Reading

Coarse: Post-Secondary Degree Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
4%11%18%25%31%38%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
38.3%42.6%46.7%50.9%55.1%59.3%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
13%21%29%37%45%54%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.23%0.46%0.69%0.92%1.15%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.46%0.92%1.37%1.83%2.29%

Detailed: Master's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.1%4.2%6.3%8.4%10.6%

Detailed: Bachelor's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%4.6%8.7%12.8%16.9%21.1%

Detailed: Associate's Degree Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
2.0%3.9%5.8%7.6%9.5%11.4%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
7.9%10.7%13.5%16.2%19.0%21.8%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
27.0%30.8%34.5%38.2%42.0%45.7%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
4%10%16%21%27%33%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
2.7%7.1%11.4%15.8%20.1%24.5%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.8%3.7%5.5%7.4%9.3%
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Educational Attainment by County Subdivision in the Reading Area

There are 74 county subdivisions in the Reading Area. This section compares Reading to the 50 most populous county subdivisions in the Reading Area and to those entities that contain or substantially overlap with Reading. The least populous of the compared county subdivisions has a population of 2,350.

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Reading, selected other county subdivisions in the Reading Area, and entities that contain Reading
0%10%20%30%Count#ReadingReading School DistrictReadingReadingTulpehocken TownshipTulpehockenRichmond TownshipRichmondBethel TownshipBethelTilden TownshipTildenBern TownshipLongswamp TownshipLongswampWomelsdorfHamburgReading Metro AreaReading AreaBerks CountyBerksLower Alsace TownshipLower AlsaceMaxatawny TownshipMaxatawnyBoyertownLaureldalePerry TownshipPerryGreenwich TownshipGreenwichUnited States of AmericaUnited StatesCentre TownshipCentreMiddle AtlanticDouglass TownshipDouglassUnion TownshipUnionNortheastWindsor TownshipWindsorMuhlenberg TownshipMuhlenbergEarl TownshipPennsylvaniaHereford TownshipHerefordColebrookdale TownshipColebrookdaleShillingtonOntelaunee TownshipOntelauneeAlsace TownshipAlsaceBrecknock TownshipBrecknockKenhorstBirdsboroWest ReadingMount PennRuscombmanor TownshipRuscombmanorSouth Heidelberg TownshipS HeidelbergWernersvilleOley TownshipCumru TownshipCumruKutztownExeter TownshipExeterRockland TownshipRocklandFleetwoodMohntonWashington TownshipWashingtonLower Heidelberg TownshipLower HeidelbergSinking SpringSinking SpgMaidencreek TownshipMaidencreekAmity TownshipAmitySpring TownshipSpgCaernarvon TownshipCaernarvonRobeson TownshipRobesonWyomissing34.584042%34.584042%34.6%17,27317.3k34.584042%34.584042%34.6%17,27317.3k34.584042%34.584042%34.6%17,27317.3k127.145522%27.145522%27.1%582221.710253%21.710253%21.7%523320.118110%20.118110%20.1%511419.799406%19.799406%19.8%533518.250049%18.250049%18.3%924617.641703%17.641703%17.6%775717.356778%17.356778%17.4%306815.000000%15.000000%15.0%453914.467594%14.467594%14.5%40,22740.2k14.467594%14.467594%14.5%40,22740.2k14.433333%14.433333%14.4%4331014.430613%14.430613%14.4%3131114.351038%14.351038%14.4%4081213.443313%13.443313%13.4%3831313.419023%13.419023%13.4%2611413.266042%13.266042%13.3%3681513.020590%13.020590%13.0%27,818,38027.8M12.662880%12.662880%12.7%3791612.313400%12.313400%12.3%3,505,1913.51M12.066307%12.066307%12.1%3131711.886121%11.886121%11.9%3341811.614335%11.614335%11.6%4,487,0854.49M11.436464%11.436464%11.4%2071910.585296%10.585296%10.6%1,4832010.504886%10.504886%10.5%2582110.459911%10.459911%10.5%925,686926k10.332435%10.332435%10.3%2302210.330058%10.330058%10.3%4102310.191982%10.191982%10.2%3612410.129032%10.129032%10.1%1572510.086455%10.086455%10.1%280269.953775%9.953775%10.0%323279.936985%9.936985%9.9%205289.688196%9.688196%9.7%348299.523810%9.523810%9.5%286309.207921%9.207921%9.2%186319.014870%9.014870%9.0%291328.646255%8.646255%8.6%449338.503767%8.503767%8.5%158348.126411%8.126411%8.1%216358.087451%8.087451%8.1%910367.895585%7.895585%7.9%245377.847729%7.847729%7.8%1,441387.842429%7.842429%7.8%217397.530011%7.530011%7.5%207407.359307%7.359307%7.4%153417.216495%7.216495%7.2%203427.097625%7.097625%7.1%269437.073716%7.073716%7.1%190446.466442%6.466442%6.5%422456.466092%6.466092%6.5%533466.213218%6.213218%6.2%1,193475.739263%5.739263%5.7%151485.297039%5.297039%5.3%288494.946208%4.946208%4.9%37750
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#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Reading, selected other county subdivisions in the Reading Area, and entities that contain Reading
0%10%20%30%40%50%Count#WyomissingLower Heidelberg TownshipLower HeidelbergCaernarvon TownshipCaernarvonAmity TownshipAmityCumru TownshipCumruExeter TownshipExeterSpring TownshipSpgKutztownNortheastMiddle AtlanticSinking SpringSinking SpgUnited States of AmericaUnited StatesRockland TownshipRocklandBrecknock TownshipBrecknockMaidencreek TownshipMaidencreekPennsylvaniaMohntonColebrookdale TownshipColebrookdaleSouth Heidelberg TownshipS HeidelbergAlsace TownshipAlsaceShillingtonGreenwich TownshipGreenwichLower Alsace TownshipLower AlsaceRobeson TownshipRobesonOley TownshipWernersvilleReading Metro AreaReading AreaBerks CountyBerksWest ReadingOntelaunee TownshipOntelauneeHereford TownshipHerefordMaxatawny TownshipMaxatawnyCentre TownshipCentreRuscombmanor TownshipRuscombmanorFleetwoodKenhorstTilden TownshipTildenUnion TownshipUnionEarl TownshipWomelsdorfBirdsboroMount PennMuhlenberg TownshipMuhlenbergBern TownshipRichmond TownshipRichmondHamburgWashington TownshipWashingtonPerry TownshipPerryWindsor TownshipWindsorLaureldaleLongswamp TownshipLongswampBoyertownDouglass TownshipDouglassTulpehocken TownshipTulpehockenReadingReading School DistrictReadingReadingBethel TownshipBethel50.852795%50.852795%50.9%3,876148.100264%48.100264%48.1%1,823237.324211%37.324211%37.3%982337.146670%37.146670%37.1%3,062435.895841%35.895841%35.9%4,039535.829430%35.829430%35.8%6,579635.550232%35.550232%35.6%6,826735.514019%35.514019%35.5%1,102834.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M31.459419%31.459419%31.5%845930.315023%30.315023%30.3%64,767,78764.8M29.743404%29.743404%29.7%8231029.429892%29.429892%29.4%9551129.359485%29.359485%29.4%1,9161229.333279%29.333279%29.3%2,595,9502.60M27.898028%27.898028%27.9%5801326.958932%26.958932%27.0%1,0701426.593491%26.593491%26.6%1,3811526.368876%26.368876%26.4%7321625.635234%25.635234%25.6%9081725.594809%25.594809%25.6%7101825.433333%25.433333%25.4%7631924.664337%24.664337%24.7%1,3412024.341610%24.341610%24.3%6472124.273412%24.273412%24.3%4512223.618139%23.618139%23.6%65,67065.7k23.618139%23.618139%23.6%65,67065.7k21.978022%21.978022%22.0%6602321.677419%21.677419%21.7%3362421.563342%21.563342%21.6%4802521.484555%21.484555%21.5%4662621.483461%21.483461%21.5%6432721.468401%21.468401%21.5%6932820.916697%20.916697%20.9%5752920.891905%20.891905%20.9%4313020.059435%20.059435%20.1%5403119.857651%19.857651%19.9%5583219.381107%19.381107%19.4%4763319.342031%19.342031%19.3%3413419.125835%19.125835%19.1%6873519.009901%19.009901%19.0%3843619.000714%19.000714%19.0%2,6623718.743828%18.743828%18.7%9493817.766708%17.766708%17.8%4283917.119205%17.119205%17.1%5174016.565944%16.565944%16.6%4664116.503856%16.503856%16.5%3214215.635359%15.635359%15.6%2834315.444015%15.444015%15.4%4404415.183246%15.183246%15.2%6674514.843475%14.843475%14.8%4224614.494988%14.494988%14.5%3764711.986940%11.986940%12.0%257489.228151%9.228151%9.2%4,6099.228151%9.228151%9.2%4,6099.228151%9.228151%9.2%4,609498.503937%8.503937%8.5%21650
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#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Reading, selected other county subdivisions in the Reading Area, and entities that contain Reading
0%2%4%6%Count#WyomissingLower Heidelberg TownshipLower HeidelbergKutztownAmity TownshipAmityNortheastMiddle AtlanticUnited States of AmericaUnited StatesPennsylvaniaOley TownshipMount PennCaernarvon TownshipCaernarvonGreenwich TownshipGreenwichCumru TownshipCumruSpring TownshipSpgAlsace TownshipAlsaceExeter TownshipExeterMohntonShillingtonWomelsdorfMaxatawny TownshipMaxatawnySouth Heidelberg TownshipS HeidelbergRockland TownshipRocklandReading Metro AreaReading AreaBerks CountyBerksOntelaunee TownshipOntelauneeRuscombmanor TownshipRuscombmanorBern TownshipFleetwoodColebrookdale TownshipColebrookdaleBrecknock TownshipBrecknockLongswamp TownshipLongswampMaidencreek TownshipMaidencreekMuhlenberg TownshipMuhlenbergWest ReadingHereford TownshipHerefordPerry TownshipPerryUnion TownshipUnionKenhorstRobeson TownshipRobesonTilden TownshipTildenLaureldaleBirdsboroSinking SpringSinking SpgCentre TownshipCentreBoyertownEarl TownshipTulpehocken TownshipTulpehockenHamburgWernersvilleLower Alsace TownshipLower AlsaceDouglass TownshipDouglassReadingReading School DistrictReadingReadingWindsor TownshipWindsorWashington TownshipWashingtonBethel TownshipBethelRichmond TownshipRichmond7.491472%7.491472%7.5%57116.965699%6.965699%7.0%26425.865292%5.865292%5.9%18234.088317%4.088317%4.1%33744.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.273138%3.273138%3.3%8753.069307%3.069307%3.1%6263.002661%3.002661%3.0%7972.919971%2.919971%2.9%8182.746178%2.746178%2.7%30992.708192%2.708192%2.7%520102.701729%2.701729%2.7%75112.652217%2.652217%2.7%487122.549303%2.549303%2.5%53132.456239%2.456239%2.5%87142.212138%2.212138%2.2%39152.120793%2.120793%2.1%46162.079723%2.079723%2.1%108171.879292%1.879292%1.9%52181.819463%1.819463%1.8%5,0591.819463%1.819463%1.8%5,0591.741935%1.741935%1.7%27191.672862%1.672862%1.7%54201.639344%1.639344%1.6%83211.636959%1.636959%1.6%45221.587302%1.587302%1.6%63231.540832%1.540832%1.5%50241.525154%1.525154%1.5%67251.425069%1.425069%1.4%93261.370450%1.370450%1.4%192271.332001%1.332001%1.3%40281.302785%1.302785%1.3%29291.285347%1.285347%1.3%25301.209964%1.209964%1.2%34311.114881%1.114881%1.1%23321.066765%1.066765%1.1%58331.040119%1.040119%1.0%28340.982801%0.982801%1.0%28350.946548%0.946548%0.9%34360.930752%0.930752%0.9%25370.902105%0.902105%0.9%27380.809005%0.809005%0.8%23390.773616%0.773616%0.8%19400.652985%0.652985%0.7%14410.596026%0.596026%0.6%18420.538213%0.538213%0.5%10430.466667%0.466667%0.5%14440.462606%0.462606%0.5%12450.454500%0.454500%0.5%2270.454500%0.454500%0.5%2270.454500%0.454500%0.5%227460.441989%0.441989%0.4%8470.177746%0.177746%0.2%5480.000000%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#32

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 Reading, selected other county subdivisions in the Reading Area, and entities that contain Reading
Female
Male
1x0x1x2x3xFM#Mount PennPerryShillingtonColebrookdaleRichmondCaernarvonAmityRuscombmanorGreenwichHerefordRobesonLower AlsaceBirdsboroDouglassTildenWindsorUnionAlsaceTulpehockenMuhlenbergBern TownshipExeterWest ReadingLongswampOley TownshipSpgHamburgUnited StatesRocklandPennsylvaniaReading AreaBerksNortheastMiddle AtlanticReadingReadingReadingMaxatawnyFleetwoodKenhorstWernersvilleWyomissingOntelauneeWomelsdorfMohntonLower HeidelbergCentreEarl TownshipBoyertownSinking SpgWashingtonCumruMaidencreekLaureldaleKutztownBethelS HeidelbergBrecknock-1.000000x-1.000000x3.270414x3.270414x3.27x4.500%4.50%14.715%14.7%1-1.000000x-1.000000x2.746651x2.746651x2.75x7.305%7.31%20.064%20.1%2-1.000000x-1.000000x2.180304x2.180304x2.18x6.600%6.60%14.391%14.4%3-1.000000x-1.000000x2.131648x2.131648x2.13x6.705%6.71%14.293%14.3%4-1.000000x-1.000000x1.840862x1.840862x1.84x15.434%15.4%28.412%28.4%5-1.000000x-1.000000x1.773542x1.773542x1.77x4.148%4.15%7.356%7.36%6-1.000000x-1.000000x1.628841x1.628841x1.63x4.967%4.97%8.091%8.09%7-1.000000x-1.000000x1.622319x1.622319x1.62x6.781%6.78%11.001%11.0%8-1.000000x-1.000000x1.621739x1.621739x1.62x10.074%10.1%16.337%16.3%9-1.000000x-1.000000x1.607209x1.607209x1.61x7.939%7.94%12.760%12.8%10-1.000000x-1.000000x1.559687x1.559687x1.56x4.096%4.10%6.388%6.39%11-1.000000x-1.000000x1.425107x1.425107x1.43x12.067%12.1%17.197%17.2%12-1.000000x-1.000000x1.389410x1.389410x1.39x8.159%8.16%11.336%11.3%13-1.000000x-1.000000x1.388505x1.388505x1.39x10.071%10.1%13.983%14.0%14-1.000000x-1.000000x1.361622x1.361622x1.36x17.037%17.0%23.198%23.2%15-1.000000x-1.000000x1.347589x1.347589x1.35x9.798%9.80%13.203%13.2%16-1.000000x-1.000000x1.342833x1.342833x1.34x10.187%10.2%13.680%13.7%17-1.000000x-1.000000x1.338111x1.338111x1.34x8.803%8.80%11.779%11.8%18-1.000000x-1.000000x1.286091x1.286091x1.29x23.493%23.5%30.215%30.2%19-1.000000x-1.000000x1.274717x1.274717x1.27x9.407%9.41%11.991%12.0%20-1.000000x-1.000000x1.210447x1.210447x1.21x16.379%16.4%19.825%19.8%21-1.000000x-1.000000x1.210231x1.210231x1.21x7.110%7.11%8.605%8.60%22-1.000000x-1.000000x1.203228x1.203228x1.20x8.720%8.72%10.492%10.5%23-1.000000x-1.000000x1.193740x1.193740x1.19x16.153%16.2%19.282%19.3%24-1.000000x-1.000000x1.157629x1.157629x1.16x7.553%7.55%8.743%8.74%25-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%26-1.000000x-1.000000x1.120433x1.120433x1.12x14.206%14.2%15.917%15.9%27-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099140x1.099140x1.10x7.481%7.48%8.222%8.22%28-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-1.000000x-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-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-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%29-1.010672x-1.010672x1.01x1.000000x1.000000x14.506%14.5%14.353%14.4%30-1.012976x-1.012976x1.01x1.000000x1.000000x7.579%7.58%7.482%7.48%31-1.029593x-1.029593x1.03x1.000000x1.000000x10.073%10.1%9.784%9.78%32-1.045174x-1.045174x1.05x1.000000x1.000000x8.667%8.67%8.292%8.29%33-1.053527x-1.053527x1.05x1.000000x1.000000x5.062%5.06%4.805%4.80%34-1.075165x-1.075165x1.08x1.000000x1.000000x10.512%10.5%9.777%9.78%35-1.129651x-1.129651x1.13x1.000000x1.000000x18.254%18.3%16.159%16.2%36-1.151295x-1.151295x1.15x1.000000x1.000000x7.803%7.80%6.778%6.78%37-1.162391x-1.162391x1.16x1.000000x1.000000x7.603%7.60%6.541%6.54%38-1.183645x-1.183645x1.18x1.000000x1.000000x13.798%13.8%11.657%11.7%39-1.189727x-1.189727x1.19x1.000000x1.000000x11.463%11.5%9.635%9.63%40-1.233477x-1.233477x1.23x1.000000x1.000000x15.714%15.7%12.740%12.7%41-1.265850x-1.265850x1.27x1.000000x1.000000x7.856%7.86%6.206%6.21%42-1.298224x-1.298224x1.30x1.000000x1.000000x8.171%8.17%6.294%6.29%43-1.317743x-1.317743x1.32x1.000000x1.000000x9.098%9.10%6.905%6.90%44-1.428987x-1.428987x1.43x1.000000x1.000000x7.571%7.57%5.298%5.30%45-1.503348x-1.503348x1.50x1.000000x1.000000x16.111%16.1%10.717%10.7%46-1.526341x-1.526341x1.53x1.000000x1.000000x9.456%9.46%6.195%6.20%47-1.535374x-1.535374x1.54x1.000000x1.000000x24.102%24.1%15.698%15.7%48-1.583991x-1.583991x1.58x1.000000x1.000000x10.704%10.7%6.758%6.76%49-1.881548x-1.881548x1.88x1.000000x1.000000x12.915%12.9%6.864%6.86%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#33

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 Reading, selected other county subdivisions in the Reading Area, and entities that contain Reading
Female
Male
10x5x0x5x10xFM#Lower AlsaceCentreWashingtonRocklandAlsaceGreenwichDouglassEarl TownshipMount PennMaxatawnySpgUnionCumruBirdsboroOntelauneeWyomissingLaureldaleFleetwoodLower HeidelbergBrecknockWernersvilleMaidencreekCaernarvonOley TownshipMohntonBoyertownReading AreaBerksShillingtonReadingReadingReadingLongswampPennsylvaniaUnited StatesAmityMiddle AtlanticNortheastKutztownHerefordTildenS HeidelbergRuscombmanorWindsorMuhlenbergBern TownshipExeterSinking SpgRobesonKenhorstWomelsdorfTulpehockenColebrookdaleWest ReadingPerryHamburg-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.012%1.01%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.701%1.70%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.350%0.35%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.852%3.85%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.266%6.27%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.728%5.73%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.907%0.91%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.476%1.48%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.660%6.66%9-1.000000x-1.000000x4.914869x4.914869x4.91x0.725%0.73%3.565%3.56%10-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%11-1.000000x-1.000000x3.430688x3.430688x3.43x0.554%0.55%1.902%1.90%12-1.000000x-1.000000x3.293632x3.293632x3.29x1.335%1.34%4.397%4.40%13-1.000000x-1.000000x2.993060x2.993060x2.99x0.483%0.48%1.446%1.45%14-1.000000x-1.000000x2.623762x2.623762x2.62x0.943%0.94%2.475%2.48%15-1.000000x-1.000000x2.606661x2.606661x2.61x4.346%4.35%11.328%11.3%16-1.000000x-1.000000x2.555004x2.555004x2.56x0.556%0.56%1.419%1.42%17-1.000000x-1.000000x2.406641x2.406641x2.41x0.957%0.96%2.302%2.30%18-1.000000x-1.000000x2.058180x2.058180x2.06x4.632%4.63%9.534%9.53%19-1.000000x-1.000000x2.025522x2.025522x2.03x1.026%1.03%2.078%2.08%20-1.000000x-1.000000x1.949257x1.949257x1.95x0.381%0.38%0.743%0.74%21-1.000000x-1.000000x1.923683x1.923683x1.92x0.984%0.98%1.892%1.89%22-1.000000x-1.000000x1.850739x1.850739x1.85x2.112%2.11%3.908%3.91%23-1.000000x-1.000000x1.847556x1.847556x1.85x2.324%2.32%4.294%4.29%24-1.000000x-1.000000x1.845909x1.845909x1.85x1.866%1.87%3.444%3.44%25-1.000000x-1.000000x1.838492x1.838492x1.84x0.584%0.58%1.074%1.07%26-1.000000x-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.822287x1.822287x1.82x1.781%1.78%3.246%3.25%27-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%28-1.000000x-1.000000x1.632465x1.632465x1.63x1.172%1.17%1.914%1.91%29-1.000000x-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-1.000000x1.507111x1.507111x1.51x3.288%3.29%4.956%4.96%30-1.000000x-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-1.000000x1.328734x1.328734x1.33x5.068%5.07%6.734%6.73%31-1.000000x-1.000000x1.248590x1.248590x1.25x1.160%1.16%1.448%1.45%32-1.000000x-1.000000x1.230323x1.230323x1.23x0.943%0.94%1.160%1.16%33-1.000000x-1.000000x1.147064x1.147064x1.15x1.932%1.93%2.216%2.22%34-1.000000x-1.000000x1.111030x1.111030x1.11x1.580%1.58%1.755%1.76%35-1.000000x-1.000000x1.078071x1.078071x1.08x0.426%0.43%0.459%0.46%36-1.100638x-1.100638x1.10x1.000000x1.000000x1.430%1.43%1.299%1.30%37-1.105103x-1.105103x1.11x1.000000x1.000000x1.729%1.73%1.564%1.56%38-1.243867x-1.243867x1.24x1.000000x1.000000x2.936%2.94%2.361%2.36%39-1.351380x-1.351380x1.35x1.000000x1.000000x1.062%1.06%0.786%0.79%40-1.354892x-1.354892x1.35x1.000000x1.000000x1.236%1.24%0.913%0.91%41-1.383191x-1.383191x1.38x1.000000x1.000000x1.282%1.28%0.927%0.93%42-1.498016x-1.498016x1.50x1.000000x1.000000x2.579%2.58%1.722%1.72%43-1.586653x-1.586653x1.59x1.000000x1.000000x0.817%0.82%0.515%0.52%44-2.286541x-2.286541x2.29x1.000000x1.000000x2.171%2.17%0.949%0.95%45-3.324390x-3.324390x3.32x1.000000x1.000000x1.951%1.95%0.587%0.59%46-4.830207x-4.830207x4.83x1.000000x1.000000x2.073%2.07%0.429%0.43%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.112%1.11%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

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

No H.S. Diploma by County Subdivision#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Reading, selected other county subdivisions in Pennsylvania, and entities that contain Reading
0%10%20%30%Count#ReadingReading School DistrictReadingReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonReading Metro AreaReading AreaBerks CountyBerksUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k34.584042%34.584042%34.6%17,27317.3k34.584042%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%7,5541014.467594%14.467594%14.5%40,22740.2k14.467594%14.467594%14.5%40,22740.2k13.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260246.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Reading, selected other county subdivisions in Pennsylvania, and entities that contain Reading
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 TownshipRidleyReading Metro AreaReading AreaBerks CountyBerksFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReadingReading School DistrictReadingReading76.926173%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%5,4603623.618139%23.618139%23.6%65,67065.7k23.618139%23.618139%23.6%65,67065.7k21.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,6099.228151%9.228151%9.2%4,6099.228151%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#36

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Reading, selected other county subdivisions in Pennsylvania, and entities that contain Reading
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemReading Metro AreaReading AreaBerks CountyBerksNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReadingReading School DistrictReadingReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.819463%1.819463%1.8%5,0591.819463%1.819463%1.8%5,0591.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%2270.454500%0.454500%0.5%2270.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#37

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 Reading, selected other county subdivisions in Pennsylvania, and entities that contain Reading
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaReading AreaBerksPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingReadingReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%6-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%7-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%8-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%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-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-1.000000x-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%22-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%24-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%42-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%43-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%44-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%45-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%46-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%47-1.583597x-1.583597x1.58x1.000000x1.000000x3.691%3.69%2.330%2.33%48-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#38

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 Reading, selected other county subdivisions in Pennsylvania, and entities that contain Reading
Female
Male
1x0x1x2x3x4xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieReading AreaBerksScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingReadingReadingPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-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-1.000000x2.925530x2.925530x2.93x0.289%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-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%26-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%27-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%28-1.000000x-1.000000x1.661960x1.661960x1.66x11.969%12.0%19.892%19.9%29-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%30-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.591202x1.591202x1.59x6.501%6.50%10.344%10.3%31-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%34-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%35-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%36-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%37-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%39-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%40-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%41-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%42-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%43-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

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

No H.S. Diploma by County Subdivision#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Reading, selected other county subdivisions in the Northeast, and entities that contain Reading
0%10%20%30%Count#ReadingReading School DistrictReadingReadingBronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipReading Metro AreaReading AreaBerks CountyBerksBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown34.584042%34.584042%34.6%17,27317.3k34.584042%34.584042%34.6%17,27317.3k34.584042%34.584042%34.6%17,27317.3k28.837398%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%32,58832.6k2614.467594%14.467594%14.5%40,22740.2k14.467594%14.467594%14.5%40,22740.2k14.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.010786%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#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Reading, selected other county subdivisions in the Northeast, and entities that contain Reading
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 BabylonBabylonBuffaloRochesterReading Metro AreaReading AreaBerks CountyBerksLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPatersonReadingReading School DistrictReadingReading74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3623.618139%23.618139%23.6%65,67065.7k23.618139%23.618139%23.6%65,67065.7k22.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,506509.228151%9.228151%9.2%4,6099.228151%9.228151%9.2%4,6099.228151%9.228151%9.2%4,609
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#41

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Reading, selected other county subdivisions in the Northeast, and entities that contain Reading
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 TownshipLakewoodLowellReading Metro AreaReading AreaBerks CountyBerksManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPatersonReadingReading School DistrictReadingReading19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.819463%1.819463%1.8%5,0591.819463%1.819463%1.8%5,0591.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%523500.454500%0.454500%0.5%2270.454500%0.454500%0.5%2270.454500%0.454500%0.5%227
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#42

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 Reading, selected other county subdivisions in the Northeast, and entities that contain Reading
Female
Male
1x0x1xFM#StamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaReading AreaBerksRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordReadingReadingReadingErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-1.000000x-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#43

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 Reading, selected other county subdivisions in the Northeast, and entities that contain Reading
Female
Male
1x0x1x2xFM#LakewoodAllentownToms RivReading AreaBerksWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterReadingReadingReadingPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-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-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Reading, selected other county subdivisions in the United States, and entities that contain Reading
0%10%20%30%Count#ReadingReading School DistrictReadingReadingSan 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 VegasPhoenixReading Metro AreaReading AreaBerks CountyBerksBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East34.584042%34.584042%34.6%17,27317.3k34.584042%34.584042%34.6%17,27317.3k34.584042%34.584042%34.6%17,27317.3k28.998944%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%308,569309k2614.467594%14.467594%14.5%40,22740.2k14.467594%14.467594%14.5%40,22740.2k14.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%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#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Reading, selected other county subdivisions in the United States, and entities that contain Reading
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasReading Metro AreaReading AreaBerks CountyBerksMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitReadingReading School DistrictReadingReading60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.618139%23.618139%23.6%65,67065.7k23.618139%23.618139%23.6%65,67065.7k23.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k509.228151%9.228151%9.2%4,6099.228151%9.228151%9.2%4,6099.228151%9.228151%9.2%4,609
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#46

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Reading, selected other county subdivisions in the United States, and entities that contain Reading
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 VegasMilwaukeeReading Metro AreaReading AreaBerks CountyBerksSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitReadingReading School DistrictReadingReading12.461852%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%7,455441.819463%1.819463%1.8%5,0591.819463%1.819463%1.8%5,0591.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693500.454500%0.454500%0.5%2270.454500%0.454500%0.5%2270.454500%0.454500%0.5%227
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#47

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 Reading, selected other county subdivisions in the United States, and entities that contain Reading
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaReading AreaBerksHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisReadingReadingReadingBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%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-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-1.000000x-1.000000x1.094097x1.094097x1.09x13.840%13.8%15.142%15.1%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#48

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 Reading, selected other county subdivisions in the United States, and entities that contain Reading
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityReading AreaBerksPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixReadingReadingReadingPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.830890x1.830890x1.83x1.299%1.30%2.379%2.38%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Berks
Metro Area:
Reading Area
City:
Reading
ZIP Codes:
19601, 19602, 19604, 19605, 19606, 19607, 19610, 19611
Unified School District:
Reading
Congressional District:
PA-16
State Senate District:
PA-11
State House Districts:
PA-126, PA-127
Neighboring Townships:
Alsace, Bern, Cumru, Lower Alsace, Muhlenberg
Nearby Townships:
Exeter, Lower Heidelberg, Robeson, Ruscombmanor, Spring