Educational Attainment in Pittsburgh, Allegheny County, Pennsylvania (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Allegheny County and Pittsburgh
Pittsburgh
Allegheny County
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma248.646330%48.553620%48.646330%48.6%99,22199.2k43.310094%45.314107%43.310094%43.3%88,33788.3k8.043576%6.132273%8.043576%8.0%16,40616.4k
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 Allegheny County at large.
Scope: population of Allegheny County and Pittsburgh
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma20.190943%0.190943%+0.2%48.646%48.6%48.554%48.6%-4.422492%-4.422492%-4.4%43.310%43.3%45.314%45.3%31.167938%31.167938%+31.2%8.044%8.04%6.132%6.13%
% percentage with given level in Pittsburgh
ref. percentage with given level in Allegheny 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 Allegheny County and Pittsburgh
Pittsburgh
Allegheny County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None3.623188%2.178006%3.623188%3.6%7,3903.809006%2.861175%3.809006%3.8%7,76911.985448%11.092264%11.985448%12.0%24,44624.4k21.313565%22.938138%21.313565%21.3%43,47243.5k7.915122%9.484039%7.915122%7.9%16,14416.1k15.758173%16.391396%15.758173%15.8%32,14132.1k27.551921%28.922711%27.551921%27.6%56,19656.2k5.788276%4.308747%5.788276%5.8%11,80611.8k1.296797%1.052191%1.296797%1.3%2,6450.958502%0.771334%0.958502%1.0%1,955
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 Allegheny County at large.
Scope: population of Allegheny County and Pittsburgh
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None66.353489%66.353489%+66.4%3.623%3.62%2.178%2.18%33.127337%33.127337%+33.1%3.809%3.81%2.861%2.86%8.052322%8.052322%+8.1%11.985%12.0%11.092%11.1%-7.082408%-7.082408%-7.1%21.314%21.3%22.938%22.9%-16.542704%-16.542704%-16.5%7.915%7.92%9.484%9.48%-3.863141%-3.863141%-3.9%15.758%15.8%16.391%16.4%-4.739493%-4.739493%-4.7%27.552%27.6%28.923%28.9%34.337799%34.337799%+34.3%5.788%5.79%4.309%4.31%23.247290%23.247290%+23.2%1.297%1.30%1.052%1.05%24.265491%24.265491%+24.3%0.959%0.96%0.771%0.77%
% percentage with given level in Pittsburgh
ref. percentage with given level in Allegheny 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 Allegheny County and Pittsburgh
More Females More Males
Allegheny County
Pittsburgh
4%2%0%2%4%FMHigher Degree1H.S. Diploma2No H.S. Diploma20.906615%4.759753%0.906615%1%48.433%48.4%48.873%48.9%-0.036647%-4.649060%-0.036647%0%43.318%43.3%43.302%43.3%-5.408385%-3.386180%-5.408385%5%8.249%8.25%7.826%7.83%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Allegheny County and Pittsburgh
More Females More Males
Allegheny County
Pittsburgh
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None43.246849%50.128603%43.246849%43%2.995%3.00%4.290%4.29%36.739314%67.295152%36.739314%37%3.233%3.23%4.421%4.42%-27.395917%-14.472918%-27.395917%27%13.381%13.4%10.503%10.5%8.627491%12.699308%8.627491%9%20.458%20.5%22.223%22.2%-12.529121%-15.272962%-12.529121%13%8.367%8.37%7.435%7.44%-3.977367%-0.363340%-3.977367%4%16.056%16.1%15.442%15.4%-7.164934%2.194672%2.194672%2%27.262%27.3%27.860%27.9%-4.840295%-0.737152%-4.840295%5%5.921%5.92%5.647%5.65%-13.511620%-17.574847%-13.511620%14%1.376%1.38%1.212%1.21%-0.408053%1.464042%1.464042%1%0.952%0.95%0.966%0.97%
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 Allegheny County and Pittsburgh
Pittsburgh
Allegheny County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-349.824463%12.895091%9.824463%9.8%4,19242,66942.7k16.534016%21.343743%16.534016%16.5%11,30111.3k68,35068.4k22.164833%27.408762%22.164833%22.2%6,90931,17131.2k34.108201%34.303066%34.108201%34.1%21,07021.1k61,77461.8k
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 Allegheny County at large.
Scope: population of Allegheny County and Pittsburgh
20%15%10%5%0%%ref.65+45-6435-4425-34-23.812380%-23.812380%23.8%9.824%9.82%12.895%12.9%-22.534601%-22.534601%22.5%16.534%16.5%21.344%21.3%-19.132310%-19.132310%19.1%22.165%22.2%27.409%27.4%-0.568070%-0.568070%0.6%34.108%34.1%34.303%34.3%
% percentage in Pittsburgh with a Bachelor's degree
ref percentage in Allegheny 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 Allegheny County and Pittsburgh
More Females More Males
Allegheny County
Pittsburgh
0%20%40%60%FM65+45-6435-4425-3440.992433%65.864080%40.992433%41.0%8.439%8.44%11.899%11.9%-0.894806%-0.894806%0.9%5.469268%16.605%16.6%16.458%16.5%-6.418967%-2.177996%-6.418967%6.4%22.879%22.9%21.499%21.5%-1.709049%-2.053873%-1.709049%1.7%34.413%34.4%33.835%33.8%
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 Allegheny County and Pittsburgh
Pittsburgh
Allegheny County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$53,691.000000$63,730.000000$53,691.000000$53.7k39,60539.6k19.418%19.4%$41,789.000000$49,901.000000$41,789.000000$41.8k43,47243.5k21.314%21.3%$30,543.000000$34,038.000000$30,543.000000$30.5k48,28548.3k23.673%23.7%$25,742.000000$28,174.000000$25,742.000000$25.7k56,19656.2k27.552%27.6%$17,259.000000$18,474.000000$17,259.000000$17.3k16,40616.4k8.044%8.04%$35,419.000000$40,259.000000$35,419.000000$35.4k203,964204k100.000%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 Allegheny County and Pittsburgh
Female Male
Allegheny County
Pittsburgh
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-50,299.000000$-53,302.000000$-50,299.000000$50.3k$50,299.000000$10,365.000000$53,302.000000$28,586.000000$60,664.000000$60.7k20,60320.6k19,00219.0k$-36,420.000000$-40,600.000000$-36,420.000000$36.4k$36,420.000000$11,460.000000$40,600.000000$19,492.000000$47,880.000000$47.9k21,49521.5k21,97722.0k$-28,164.000000$-29,571.000000$-28,164.000000$28.2k$28,164.000000$3,805.000000$29,571.000000$11,360.000000$31,969.000000$32.0k25,66125.7k22,62422.6k$-22,713.000000$-23,120.000000$-22,713.000000$22.7k$22,713.000000$5,814.000000$23,120.000000$10,431.000000$28,527.000000$28.5k28,64428.6k27,55227.6k$-12,714.000000$-13,041.000000$-12,714.000000$12.7k$12,714.000000$8,063.000000$13,041.000000$9,895.000000$20,777.000000$20.8k8,6677,739$-31,645.000000$-32,920.000000$-31,645.000000$31.6k$31,645.000000$8,428.000000$32,920.000000$14,535.000000$40,073.000000$40.1k105,070105k98,89498.9k
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 Allegheny County and Pittsburgh
Pittsburgh
Allegheny County
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma367.441860%75.892857%67.441860%67.4%5812.790698%20.312500%12.790698%12.8%1119.767442%3.794643%19.767442%19.8%170.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Allegheny County and Pittsburgh
Pittsburgh
Allegheny County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.341869%84.901284%84.341869%84.3%60,93760.9k71.286078%76.654985%71.286078%71.3%28,87328.9k58.611536%66.366396%58.611536%58.6%22,96423.0k35.377056%41.572478%35.377056%35.4%3,312
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 Allegheny County and Pittsburgh
Female Male
Allegheny County
Pittsburgh
Shaded bar tips show excess over facing bar.
10%5%0%5%10%15%MFWhite1BlackAsianHispanic2Other1-6.011678%-0.857775%-5.083941%-0.362431%-6.869453%6.9%6.011678%5.083941%6.011678%6.0%4,2114,799-11.162185%-9.243002%-11.162185%11.2%11.162185%1.973772%9.243002%2.208327%13.135957%13.1%2,6002,914-8.369007%-1.906332%-8.170714%-4.995570%-10.275339%10.3%8.369007%8.170714%8.369007%8.4%391515-11.796488%-12.156562%-11.796488%11.8%11.796488%4.849475%12.156562%1.694388%16.645963%16.6%402262-10.402685%-0.792234%-8.309878%-11.194919%11.2%10.402685%8.309878%1.570482%10.402685%10.4%279282
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 Allegheny County and Pittsburgh
Female Male
Allegheny County
Pittsburgh
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-45.279130%-38.627867%-45.279130%45.3%45.279130%1.085454%38.627867%3.796437%46.364584%46.4%32,47732.5k31,63231.6k-15.237710%-3.325072%-17.854047%-2.245615%-18.562783%18.6%15.237710%17.854047%15.237710%15.2%3,0164,846-76.995211%-70.197939%-76.995211%77.0%76.995211%3.141775%70.197939%9.304519%80.136986%80.1%3,7443,859-44.968944%-4.063023%-38.940024%-5.188909%-49.031968%49.0%44.968944%38.940024%44.968944%45.0%1,0861,089-31.133482%-4.753774%-32.625353%-2.932883%-35.887257%35.9%31.133482%32.625353%31.133482%31.1%835904
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in Pittsburgh

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

Percentage of the population 25 years and older with given highest level of educational attainment
11%29%47%65%82%100%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
0%15%30%45%60%76%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.6%9.1%13.7%18.3%22.9%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.2%6.3%9.5%12.7%15.9%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.0%6.0%9.1%12.1%15.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%20%30%40%50%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%17%25%33%42%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%11%21%31%40%50%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%18%24%31%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%11%22%33%44%55%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.7%7.4%11.1%14.8%18.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.6%3.2%4.8%6.3%8.0%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.0%3.0%3.9%5.0%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Pittsburgh

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%14%20%27%35%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.8%7.6%11.4%15.1%19.0%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.7%9.4%14.1%18.8%23.6%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
0%11%21%32%42%53%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
0%15%31%46%61%77%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%20%30%40%50%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.8%9.5%14.3%19.0%23.9%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%11%17%23%29%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.4%2.8%4.2%5.5%7.0%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Pittsburgh

There are 91 neighborhoods that are fully or partially contained within Pittsburgh (66 fully and 25 partially). This section compares the 50 most populous of those to each other, Pittsburgh, and other entities that contain or substantially overlap with Pittsburgh. The least populous of the compared neighborhoods has a population of 2,281.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Pittsburgh, selected neighborhoods in Pittsburgh, and entities that contain Pittsburgh
0%5%10%15%20%Count#Terrace Village NeighborhoodTer VlgCrawford Roberts NeighborhoodCrawford RobertsMarshall - Shadeland NeighborhoodMarshall - ShadelandKnoxville NeighborhoodKnoxvilleHomewood South NeighborhoodHomewood SHomewood North NeighborhoodHomewood NOakland NeighborhoodOaklandWestwood NeighborhoodWestwoodBluff NeighborhoodBluffUnited States of AmericaUnited StatesSpring Hill - City View NeighborhoodSpg Hl - City VwMiddle AtlanticCarrick NeighborhoodCarrickNortheastEast Hills NeighborhoodEast HillsLincoln-Lemington-Belmar NeighborhoodLincoln-Lemington-…Beechview NeighborhoodBeechviewSheraden NeighborhoodSheradenPennsylvaniaPerry South NeighborhoodPerry SouthPerry North NeighborhoodPerry NorthWest Oakland NeighborhoodWest OaklandCrafton Heights NeighborhoodCrafton HtsCentral Northside NeighborhoodCntrl NorthsideOverbrook NeighborhoodOverbrookEast Liberty NeighborhoodEast LibertySouthside Slopes NeighborhoodSouthside SlopesMorningside NeighborhoodMorningsideHazelwood NeighborhoodHazelwoodCentral Lawrenceville NeighborhoodCntrl LawrencevilleStanton Heights NeighborhoodStanton HtsElliott NeighborhoodElliottAllentown NeighborhoodAllentownBrookline NeighborhoodBrooklinePittsburghPittsburghGarfield NeighborhoodGarfieldUpper Lawrenceville NeighborhoodUpper LawrencevilleLincoln Place NeighborhoodLincoln PlaceBrighton Heights NeighborhoodBrighton HtsDuquesne Heights NeighborhoodDuquesne HtsPittsburgh Metro AreaPittsburghLower Lawrenceville NeighborhoodLower LawrencevilleBanksville NeighborhoodBanksvilleAllegheny CountyAlleghenyMount Washington NeighborhoodMt WashingtonTroy Hill NeighborhoodTroy HillNorth Oakland NeighborhoodNorth OaklandBloomfield NeighborhoodBloomfieldDormont NeighborhoodDormontSouthside Flats NeighborhoodSouthside FlatsSquirrel Hill South NeighborhoodSquirrel Hl SGreenfield NeighborhoodGreenfieldHighland Park NeighborhoodHighland ParkShadyside NeighborhoodShadysidePoint Breeze NeighborhoodPoint BreezeSquirrel Hill North NeighborhoodSquirrel Hl NCentral Business District NeighborhoodCntrl Business Dist22.872440%22.872440%22.9%345117.291599%17.291599%17.3%283284217.008542%17.008542%17.0%726727316.932515%16.932515%16.9%368415.832483%15.832483%15.8%229230514.240676%14.240676%14.2%257258613.487576%13.487576%13.5%280281713.072586%13.072586%13.1%288289813.064445%13.064445%13.1%303913.020590%13.020590%13.0%27,818,38027.8M12.827988%12.827988%12.8%2222231012.313400%12.313400%12.3%3,505,1913.51M11.807484%11.807484%11.8%8648651111.614335%11.614335%11.6%4,487,0854.49M11.552018%11.552018%11.6%2252261211.433393%11.433393%11.4%2922931311.268200%11.268200%11.3%6566571410.515472%10.515472%10.5%3603611510.459911%10.459911%10.5%925,686926k10.185643%10.185643%10.2%296297169.979027%9.979027%10.0%299179.852824%9.852824%9.9%120121189.803367%9.803367%9.8%241199.756965%9.756965%9.8%222223209.674173%9.674173%9.7%266267219.251065%9.251065%9.3%376229.072501%9.072501%9.1%284238.968254%8.968254%9.0%229248.926258%8.926258%8.9%271272258.654317%8.654317%8.7%325268.355702%8.355702%8.4%289278.088715%8.088715%8.1%113114288.072654%8.072654%8.1%126127298.058389%8.058389%8.1%776308.043576%8.043576%8.0%16,40616.4k8.043576%8.043576%8.0%16,40616.4k8.034651%8.034651%8.0%199317.828810%7.828810%7.8%157158327.742935%7.742935%7.7%179180337.479788%7.479788%7.5%401347.135729%7.135729%7.1%134357.130926%7.130926%7.1%120,640121k6.287425%6.287425%6.3%116366.182252%6.182252%6.2%209376.132273%6.132273%6.1%53,97454.0k5.427503%5.427503%5.4%356357385.083767%5.083767%5.1%100101395.019908%5.019908%5.0%166167404.306065%4.306065%4.3%279413.727634%3.727634%3.7%240423.477016%3.477016%3.5%146147433.342171%3.342171%3.3%365366443.068069%3.068069%3.1%169452.381899%2.381899%2.4%107462.343340%2.343340%2.3%225226472.185740%2.185740%2.2%88482.011993%2.011993%2.0%104491.777953%1.777953%1.8%383950
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Pittsburgh, selected neighborhoods in Pittsburgh, and entities that contain Pittsburgh
0%20%40%60%80%Count#Squirrel Hill North NeighborhoodSquirrel Hl NShadyside NeighborhoodShadysidePoint Breeze NeighborhoodPoint BreezeNorth Oakland NeighborhoodNorth OaklandSquirrel Hill South NeighborhoodSquirrel Hl SCentral Business District NeighborhoodCntrl Business DistSouthside Flats NeighborhoodSouthside FlatsHighland Park NeighborhoodHighland ParkBloomfield NeighborhoodBloomfieldCentral Northside NeighborhoodCntrl NorthsideGreenfield NeighborhoodGreenfieldCentral Lawrenceville NeighborhoodCntrl LawrencevilleOakland NeighborhoodOaklandDormont NeighborhoodDormontLower Lawrenceville NeighborhoodLower LawrencevilleEast Liberty NeighborhoodEast LibertyMorningside NeighborhoodMorningsideUpper Lawrenceville NeighborhoodUpper LawrencevilleBanksville NeighborhoodBanksvilleMount Washington NeighborhoodMt WashingtonPittsburghPittsburghStanton Heights NeighborhoodStanton HtsAllegheny CountyAlleghenyDuquesne Heights NeighborhoodDuquesne HtsTroy Hill NeighborhoodTroy HillPerry North NeighborhoodPerry NorthSouthside Slopes NeighborhoodSouthside SlopesNortheastWest Oakland NeighborhoodWest OaklandBrighton Heights NeighborhoodBrighton HtsMiddle AtlanticWestwood NeighborhoodWestwoodPittsburgh Metro AreaPittsburghBrookline NeighborhoodBrooklineUnited States of AmericaUnited StatesPennsylvaniaBeechview NeighborhoodBeechviewCrafton Heights NeighborhoodCrafton HtsGarfield NeighborhoodGarfieldSheraden NeighborhoodSheradenPerry South NeighborhoodPerry SouthCarrick NeighborhoodCarrickLincoln Place NeighborhoodLincoln PlaceOverbrook NeighborhoodOverbrookLincoln-Lemington-Belmar NeighborhoodLincoln-Lemington-…Homewood South NeighborhoodHomewood SHazelwood NeighborhoodHazelwoodSpring Hill - City View NeighborhoodSpg Hl - City VwCrawford Roberts NeighborhoodCrawford RobertsTerrace Village NeighborhoodTer VlgHomewood North NeighborhoodHomewood NElliott NeighborhoodElliottMarshall - Shadeland NeighborhoodMarshall - ShadelandBluff NeighborhoodBluffEast Hills NeighborhoodEast HillsKnoxville NeighborhoodKnoxvilleAllentown NeighborhoodAllentown84.604895%84.604895%84.6%4,380181.159472%81.159472%81.2%7,8147,815281.135867%81.135867%81.1%3,2723,273376.733432%76.733432%76.7%2,545472.578059%72.578059%72.6%7,946569.261162%69.261162%69.3%1,510659.211255%59.211255%59.2%2,5012,502757.789539%57.789539%57.8%2,5972,598855.232639%55.232639%55.2%3,5783,579949.490021%49.490021%49.5%1,1281,1291048.918560%48.918560%48.9%2,6942,6951147.964487%47.964487%48.0%1,8021246.092908%46.092908%46.1%9591345.464009%45.464009%45.5%2,9322,9331445.309381%45.309381%45.3%8391544.840589%44.840589%44.8%1,8241644.523810%44.523810%44.5%1,1371,1381743.684760%43.684760%43.7%8808811842.014803%42.014803%42.0%1,4231941.882660%41.882660%41.9%2,7522,7532040.731207%40.731207%40.7%83,07783.1k40.731207%40.731207%40.7%83,07783.1k39.101823%39.101823%39.1%1,3542139.069581%39.069581%39.1%343,876344k39.021956%39.021956%39.0%7347352238.705950%38.705950%38.7%7682335.969191%35.969191%36.0%1,0771,0782434.965950%34.965950%35.0%1,0951,0962534.780899%34.780899%34.8%13,437,26113.4M34.576226%34.576226%34.6%4224232634.033787%34.033787%34.0%1,8262733.644618%33.644618%33.6%9,577,4379.58M32.945736%32.945736%32.9%7277282832.546256%32.546256%32.5%550,613551k30.559947%30.559947%30.6%2,9442930.315023%30.315023%30.3%64,767,78764.8M29.333279%29.333279%29.3%2,595,9502.60M28.815805%28.815805%28.8%1,6791,6803025.844328%25.844328%25.8%6366373123.489194%23.489194%23.5%5825833221.774633%21.774633%21.8%7473321.634898%21.634898%21.6%6303420.213892%20.213892%20.2%1,4803519.125048%19.125048%19.1%4434443618.820998%18.820998%18.8%5193717.466713%17.466713%17.5%4473817.454293%17.454293%17.5%2533916.272205%16.272205%16.3%4954015.801749%15.801749%15.8%2744114.981113%14.981113%15.0%2452464214.935191%14.935191%14.9%2254314.134148%14.134148%14.1%2552564413.307241%13.307241%13.3%1874512.102369%12.102369%12.1%5174612.099956%12.099956%12.1%2802814711.508190%11.508190%11.5%2254810.879346%10.879346%10.9%2362374910.632587%10.632587%10.6%16750
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Pittsburgh, selected neighborhoods in Pittsburgh, and entities that contain Pittsburgh
0%10%20%30%Count#Squirrel Hill North NeighborhoodSquirrel Hl NPoint Breeze NeighborhoodPoint BreezeShadyside NeighborhoodShadysideCentral Business District NeighborhoodCntrl Business DistSquirrel Hill South NeighborhoodSquirrel Hl SNorth Oakland NeighborhoodNorth OaklandHighland Park NeighborhoodHighland ParkSouthside Flats NeighborhoodSouthside FlatsGreenfield NeighborhoodGreenfieldTroy Hill NeighborhoodTroy HillBloomfield NeighborhoodBloomfieldCentral Lawrenceville NeighborhoodCntrl LawrencevilleMorningside NeighborhoodMorningsidePittsburghPittsburghWest Oakland NeighborhoodWest OaklandCentral Northside NeighborhoodCntrl NorthsideOakland NeighborhoodOaklandEast Liberty NeighborhoodEast LibertySouthside Slopes NeighborhoodSouthside SlopesAllegheny CountyAlleghenyDormont NeighborhoodDormontStanton Heights NeighborhoodStanton HtsLower Lawrenceville NeighborhoodLower LawrencevilleDuquesne Heights NeighborhoodDuquesne HtsNortheastMount Washington NeighborhoodMt WashingtonUpper Lawrenceville NeighborhoodUpper LawrencevilleMiddle AtlanticGarfield NeighborhoodGarfieldPittsburgh Metro AreaPittsburghUnited States of AmericaUnited StatesPennsylvaniaHomewood South NeighborhoodHomewood SBanksville NeighborhoodBanksvilleBluff NeighborhoodBluffPerry North NeighborhoodPerry NorthBrighton Heights NeighborhoodBrighton HtsBrookline NeighborhoodBrooklineBeechview NeighborhoodBeechviewHazelwood NeighborhoodHazelwoodSpring Hill - City View NeighborhoodSpg Hl - City VwTerrace Village NeighborhoodTer VlgCrawford Roberts NeighborhoodCrawford RobertsAllentown NeighborhoodAllentownHomewood North NeighborhoodHomewood NCrafton Heights NeighborhoodCrafton HtsKnoxville NeighborhoodKnoxvilleElliott NeighborhoodElliottPerry South NeighborhoodPerry SouthSheraden NeighborhoodSheradenOverbrook NeighborhoodOverbrookCarrick NeighborhoodCarrickLincoln Place NeighborhoodLincoln PlaceWestwood NeighborhoodWestwoodEast Hills NeighborhoodEast HillsMarshall - Shadeland NeighborhoodMarshall - ShadelandLincoln-Lemington-Belmar NeighborhoodLincoln-Lemington-…30.822339%30.822339%30.8%1,5951,596126.641213%26.641213%26.6%1,0741,075222.979570%22.979570%23.0%2,2122,213320.110628%20.110628%20.1%438439419.387978%19.387978%19.4%2,1222,123516.727501%16.727501%16.7%554555614.289128%14.289128%14.3%642712.540967%12.540967%12.5%529530810.778094%10.778094%10.8%593594910.514154%10.514154%10.5%208209108.501997%8.501997%8.5%550551117.538030%7.538030%7.5%283127.460317%7.460317%7.5%190191137.432194%7.432194%7.4%15,15915.2k7.432194%7.432194%7.4%15,15915.2k6.768482%6.768482%6.8%8283146.576939%6.576939%6.6%150156.415540%6.415540%6.4%133134166.024756%6.024756%6.0%245175.840720%5.840720%5.8%183185.039180%5.039180%5.0%44,35344.4k4.824250%4.824250%4.8%311194.731721%4.731721%4.7%163164204.690619%4.690619%4.7%8687214.341317%4.341317%4.3%8182224.085016%4.085016%4.1%1,578,2061.58M4.021805%4.021805%4.0%264233.914405%3.914405%3.9%7879243.884861%3.884861%3.9%1,105,8831.11M3.799757%3.799757%3.8%94253.600869%3.600869%3.6%60,91960.9k3.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.006719%3.006719%3.0%4344262.632558%2.632558%2.6%89272.455064%2.455064%2.5%5657282.422077%2.422077%2.4%7273292.088222%2.088222%2.1%112302.087548%2.087548%2.1%201312.027471%2.027471%2.0%118321.995060%1.995060%2.0%6061331.982507%1.982507%2.0%34341.699329%1.699329%1.7%2526351.688719%1.688719%1.7%2728361.398873%1.398873%1.4%22371.201734%1.201734%1.2%2122381.197151%1.197151%1.2%29391.186094%1.186094%1.2%2526401.174168%1.174168%1.2%1617411.093511%1.093511%1.1%3132420.900456%0.900456%0.9%3031430.897761%0.897761%0.9%2425440.886836%0.886836%0.9%6465450.580720%0.580720%0.6%13460.387597%0.387597%0.4%89470.360238%0.360238%0.4%7480.301406%0.301406%0.3%1213490.169393%0.169393%0.2%450
Count number of people in category
# rank of neighborhood 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 Neighborhood#45

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 Pittsburgh, selected neighborhoods in Pittsburgh, and entities that contain Pittsburgh
Female
Male
4x2x0x2xFM#Spg Hl - City VwEast HillsHomewood NCntrl Business DistHazelwoodMt WashingtonLincoln-Lemington-BelmarLincoln-Lemington-…West OaklandBanksvilleKnoxvilleMarshall - ShadelandCrawford RobertsBrooklineHomewood SBrighton HtsMorningsideUnited StatesPennsylvaniaDuquesne HtsNortheastMiddle AtlanticWestwoodShadysidePittsburghTroy HillStanton HtsAlleghenyEast LibertyPittsburghPittsburghCrafton HtsSheradenOverbrookSouthside FlatsSquirrel Hl SBeechviewCarrickPerry NorthGreenfieldBloomfieldDormontUpper LawrencevilleNorth OaklandCntrl LawrencevilleAllentownBluffSouthside SlopesTer VlgLower LawrencevilleCntrl NorthsidePerry SouthHighland ParkOaklandGarfieldElliottSquirrel Hl NPoint BreezeLincoln Place-1.000000x-1.000000x2.410948x2.410948x2.41x8.187%8.19%19.739%19.7%1-1.000000x-1.000000x2.027705x2.027705x2.03x8.154%8.15%16.535%16.5%2-1.000000x-1.000000x1.715811x1.715811x1.72x11.011%11.0%18.893%18.9%3-1.000000x-1.000000x1.702778x1.702778x1.70x1.305%1.31%2.222%2.22%4-1.000000x-1.000000x1.654737x1.654737x1.65x6.892%6.89%11.404%11.4%5-1.000000x-1.000000x1.584064x1.584064x1.58x4.173%4.17%6.611%6.61%6-1.000000x-1.000000x1.487517x1.487517x1.49x9.331%9.33%13.880%13.9%7-1.000000x-1.000000x1.485863x1.485863x1.49x8.436%8.44%12.535%12.5%8-1.000000x-1.000000x1.382626x1.382626x1.38x5.201%5.20%7.192%7.19%9-1.000000x-1.000000x1.348786x1.348786x1.35x14.627%14.6%19.729%19.7%10-1.000000x-1.000000x1.346633x1.346633x1.35x13.801%13.8%18.585%18.6%11-1.000000x-1.000000x1.250375x1.250375x1.25x15.559%15.6%19.455%19.5%12-1.000000x-1.000000x1.220232x1.220232x1.22x7.304%7.30%8.913%8.91%13-1.000000x-1.000000x1.204189x1.204189x1.20x14.609%14.6%17.592%17.6%14-1.000000x-1.000000x1.186572x1.186572x1.19x6.885%6.88%8.170%8.17%15-1.000000x-1.000000x1.140302x1.140302x1.14x8.460%8.46%9.647%9.65%16-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.087914x1.087914x1.09x6.825%6.83%7.425%7.43%17-1.000000x-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-1.000000x1.027072x1.027072x1.03x12.905%12.9%13.255%13.3%18-1.000000x-1.000000x1.016848x1.016848x1.02x2.324%2.32%2.363%2.36%19-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-1.000000x-1.000000x1.007356x1.007356x1.01x5.065%5.06%5.102%5.10%20-1.000000x-1.000000x1.005855x1.005855x1.01x8.335%8.34%8.384%8.38%21-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-1.053384x-1.053384x1.05x1.000000x1.000000x9.462%9.46%8.982%8.98%22-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%-1.090415x-1.090415x1.09x1.000000x1.000000x10.175%10.2%9.332%9.33%23-1.108930x-1.108930x1.11x1.000000x1.000000x11.030%11.0%9.947%9.95%24-1.149166x-1.149166x1.15x1.000000x1.000000x10.311%10.3%8.973%8.97%25-1.170308x-1.170308x1.17x1.000000x1.000000x3.790%3.79%3.238%3.24%26-1.175493x-1.175493x1.18x1.000000x1.000000x3.593%3.59%3.057%3.06%27-1.241408x-1.241408x1.24x1.000000x1.000000x12.415%12.4%10.001%10.0%28-1.257112x-1.257112x1.26x1.000000x1.000000x13.083%13.1%10.407%10.4%29-1.276660x-1.276660x1.28x1.000000x1.000000x11.197%11.2%8.770%8.77%30-1.318238x-1.318238x1.32x1.000000x1.000000x3.471%3.47%2.633%2.63%31-1.352640x-1.352640x1.35x1.000000x1.000000x4.976%4.98%3.678%3.68%32-1.364148x-1.364148x1.36x1.000000x1.000000x4.285%4.28%3.141%3.14%33-1.400756x-1.400756x1.40x1.000000x1.000000x8.979%8.98%6.410%6.41%34-1.471208x-1.471208x1.47x1.000000x1.000000x5.953%5.95%4.046%4.05%35-1.564918x-1.564918x1.56x1.000000x1.000000x10.555%10.6%6.745%6.74%36-1.578683x-1.578683x1.58x1.000000x1.000000x9.166%9.17%5.806%5.81%37-1.624438x-1.624438x1.62x1.000000x1.000000x19.251%19.3%11.851%11.9%38-1.678435x-1.678435x1.68x1.000000x1.000000x12.038%12.0%7.172%7.17%39-1.681915x-1.681915x1.68x1.000000x1.000000x26.470%26.5%15.738%15.7%40-1.780000x-1.780000x1.78x1.000000x1.000000x8.000%8.00%4.494%4.49%41-1.808672x-1.808672x1.81x1.000000x1.000000x12.632%12.6%6.984%6.98%42-1.859608x-1.859608x1.86x1.000000x1.000000x12.670%12.7%6.813%6.81%43-2.189176x-2.189176x2.19x1.000000x1.000000x3.216%3.22%1.469%1.47%44-2.204194x-2.204194x2.20x1.000000x1.000000x19.545%19.5%8.867%8.87%45-2.478947x-2.478947x2.48x1.000000x1.000000x10.644%10.6%4.294%4.29%46-2.534296x-2.534296x2.53x1.000000x1.000000x11.191%11.2%4.416%4.42%47-2.592865x-2.592865x2.59x1.000000x1.000000x2.893%2.89%1.116%1.12%48-3.806578x-3.806578x3.81x1.000000x1.000000x3.358%3.36%0.882%0.88%49-5.125478x-5.125478x5.13x1.000000x1.000000x12.854%12.9%2.508%2.51%50
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#46

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 Pittsburgh, selected neighborhoods in Pittsburgh, and entities that contain Pittsburgh
Female
Male
10x5x0x5x10xFM#Marshall - ShadelandWestwoodSpg Hl - City VwAllentownTer VlgEast HillsBrighton HtsSheradenKnoxvilleBanksvilleHazelwoodEast LibertyNorth OaklandSquirrel Hl SHighland ParkSouthside SlopesPittsburghPennsylvaniaDormontSquirrel Hl NAlleghenyUnited StatesMiddle AtlanticNortheastPittsburghPittsburghPoint BreezeTroy HillCntrl Business DistShadysideUpper LawrencevilleOverbrookGreenfieldLincoln PlaceDuquesne HtsBloomfieldCrawford RobertsCarrickBeechviewSouthside FlatsBluffMorningsideBrooklineCntrl NorthsideMt WashingtonPerry NorthGarfieldStanton HtsOaklandCntrl LawrencevilleWest OaklandHomewood SCrafton HtsLower LawrencevillePerry SouthLincoln-Lemington-BelmarLincoln-Lemington-…Homewood NElliott-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.450%0.45%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.810%0.81%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.935%4.93%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.014%0.01%4.269%4.27%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.150%0.15%4.773%4.77%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.045%0.04%0.823%0.82%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.374%0.37%4.076%4.08%7-1.000000x-1.000000x6.595999x6.595999x6.60x0.246%0.25%1.623%1.62%8-1.000000x-1.000000x3.811248x3.811248x3.81x0.522%0.52%1.991%1.99%9-1.000000x-1.000000x2.423409x2.423409x2.42x1.547%1.55%3.750%3.75%10-1.000000x-1.000000x2.124008x2.124008x2.12x1.324%1.32%2.812%2.81%11-1.000000x-1.000000x2.053986x2.053986x2.05x4.117%4.12%8.456%8.46%12-1.000000x-1.000000x1.978441x1.978441x1.98x11.312%11.3%22.379%22.4%13-1.000000x-1.000000x1.920713x1.920713x1.92x13.552%13.6%26.030%26.0%14-1.000000x-1.000000x1.842951x1.842951x1.84x10.188%10.2%18.775%18.8%15-1.000000x-1.000000x1.755051x1.755051x1.76x4.000%4.00%7.020%7.02%16-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.623081x1.623081x1.62x3.701%3.70%6.007%6.01%17-1.000000x-1.000000x1.604526x1.604526x1.60x23.714%23.7%38.049%38.0%18-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%-1.000000x-1.000000x1.397774x1.397774x1.40x22.419%22.4%31.337%31.3%19-1.000000x-1.000000x1.373288x1.373288x1.37x8.834%8.83%12.132%12.1%20-1.000000x-1.000000x1.359512x1.359512x1.36x16.966%17.0%23.065%23.1%21-1.000000x-1.000000x1.336740x1.336740x1.34x19.681%19.7%26.308%26.3%22-1.000000x-1.000000x1.335859x1.335859x1.34x3.403%3.40%4.545%4.55%23-1.000000x-1.000000x1.309490x1.309490x1.31x0.783%0.78%1.025%1.02%24-1.000000x-1.000000x1.245171x1.245171x1.25x9.642%9.64%12.007%12.0%25-1.000000x-1.000000x1.170622x1.170622x1.17x0.536%0.54%0.627%0.63%26-1.000000x-1.000000x1.147689x1.147689x1.15x4.033%4.03%4.629%4.63%27-1.000000x-1.000000x1.111904x1.111904x1.11x8.038%8.04%8.937%8.94%28-1.000000x-1.000000x1.071654x1.071654x1.07x1.637%1.64%1.754%1.75%29-1.000000x-1.000000x1.066201x1.066201x1.07x0.860%0.86%0.917%0.92%30-1.000000x-1.000000x1.058447x1.058447x1.06x1.973%1.97%2.088%2.09%31-1.000000x-1.000000x1.049197x1.049197x1.05x12.201%12.2%12.801%12.8%32-1.000000x-1.000000x1.024180x1.024180x1.02x2.406%2.41%2.465%2.46%33-1.009223x-1.009223x1.01x1.000000x1.000000x7.490%7.49%7.421%7.42%34-1.050141x-1.050141x1.05x1.000000x1.000000x2.135%2.14%2.033%2.03%35-1.071503x-1.071503x1.07x1.000000x1.000000x6.808%6.81%6.354%6.35%36-1.155806x-1.155806x1.16x1.000000x1.000000x4.322%4.32%3.739%3.74%37-1.159814x-1.159814x1.16x1.000000x1.000000x2.602%2.60%2.243%2.24%38-1.263046x-1.263046x1.26x1.000000x1.000000x4.155%4.16%3.290%3.29%39-1.291477x-1.291477x1.29x1.000000x1.000000x5.231%5.23%4.050%4.05%40-1.329682x-1.329682x1.33x1.000000x1.000000x7.466%7.47%5.615%5.61%41-1.338446x-1.338446x1.34x1.000000x1.000000x8.626%8.63%6.445%6.44%42-1.532462x-1.532462x1.53x1.000000x1.000000x7.692%7.69%5.019%5.02%43-1.784929x-1.784929x1.78x1.000000x1.000000x3.669%3.67%2.055%2.06%44-2.007329x-2.007329x2.01x1.000000x1.000000x1.537%1.54%0.766%0.77%45-2.370117x-2.370117x2.37x1.000000x1.000000x6.537%6.54%2.758%2.76%46-2.726090x-2.726090x2.73x1.000000x1.000000x1.495%1.50%0.548%0.55%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.315%0.31%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.036%2.04%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.166%2.17%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Pittsburgh Area

There are 460 county subdivisions in the Pittsburgh Area. This section compares Pittsburgh to the 50 most populous county subdivisions in the Pittsburgh Area and to those entities that contain or substantially overlap with Pittsburgh. The least populous of the compared county subdivisions has a population of 11,197.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Pittsburgh, selected other county subdivisions in the Pittsburgh Area, and entities that contain Pittsburgh
0%5%10%Count#McKeesportWashingtonUnited States of AmericaUnited StatesNorth Union TownshipN UnionNew KensingtonMiddle AtlanticNortheastButlerDerry TownshipDerryPennsylvaniaWilkinsburgWhitehallPittsburghPittsburghHopewell TownshipHopewellGreensburgWest Deer TownshipW DeerHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghMunhallRobinson TownshipRobinsonUnity TownshipUnityPenn Hills TownshipPenn HlsNorth Fayette TownshipN FayetteBaldwinAllegheny CountyAlleghenyCecil TownshipCecilLower BurrellWest MifflinRoss TownshipButler TownshipButlerCenter TownshipCtrSouth Fayette TownshipS FayetteShaler TownshipShalerScott TownshipScottMoon TownshipRostraver TownshipRostraverMonroevillePlumNorth Strabane TownshipN StrabanePenn TownshipBethel ParkNorth Huntingdon TownshipN HuntingdonElizabeth TownshipElizabethRichland TownshipRichlandMcCandless TownshipMcCandlessCranberry TownshipCranberryMurrysvilleHampton TownshipHamptonSouth Park TownshipS PkJefferson HillsJefferson HlsAdams TownshipAdamsPeters TownshipPetersMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairFranklin ParkPine Township13.745428%13.745428%13.7%1,879113.102099%13.102099%13.1%1,205213.020590%13.020590%13.0%27,818,38027.8M12.479966%12.479966%12.5%1,168312.421834%12.421834%12.4%1,172412.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M10.908131%10.908131%10.9%1,033510.696587%10.696587%10.7%1,144610.459911%10.459911%10.5%925,686926k9.211661%9.211661%9.2%1,06878.658663%8.658663%8.7%91688.043576%8.043576%8.0%16,40616.4k8.043576%8.043576%8.0%16,40616.4k97.739130%7.739130%7.7%712107.388471%7.388471%7.4%737117.301011%7.301011%7.3%643127.148505%7.148505%7.1%2,260137.130926%7.130926%7.1%120,640121k7.016473%7.016473%7.0%575146.941165%6.941165%6.9%735156.896773%6.896773%6.9%1,073166.765076%6.765076%6.8%2,099176.577684%6.577684%6.6%685186.396191%6.396191%6.4%927196.132273%6.132273%6.1%53,97454.0k6.077348%6.077348%6.1%517205.862312%5.862312%5.9%499215.671885%5.671885%5.7%837225.637439%5.637439%5.6%1,354235.636235%5.636235%5.6%718245.507623%5.507623%5.5%466255.441079%5.441079%5.4%573265.338744%5.338744%5.3%1,171275.249464%5.249464%5.2%686285.169841%5.169841%5.2%866295.119920%5.119920%5.1%412304.869736%4.869736%4.9%1,043314.837339%4.837339%4.8%968324.716532%4.716532%4.7%495334.364142%4.364142%4.4%628344.315126%4.315126%4.3%1,027354.016913%4.016913%4.0%912363.965778%3.965778%4.0%394373.450863%3.450863%3.5%276383.276003%3.276003%3.3%680393.194067%3.194067%3.2%646403.192710%3.192710%3.2%473413.067020%3.067020%3.1%405422.955466%2.955466%3.0%292432.824360%2.824360%2.8%224442.373068%2.373068%2.4%215452.271945%2.271945%2.3%330461.930306%1.930306%1.9%457471.324503%1.324503%1.3%176481.026905%1.026905%1.0%100490.730994%0.730994%0.7%6050
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#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Pittsburgh, selected other county subdivisions in the Pittsburgh Area, and entities that contain Pittsburgh
0%20%40%60%Count#Pine TownshipFranklin ParkMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairPeters TownshipPetersAdams TownshipAdamsMcCandless TownshipMcCandlessCranberry TownshipCranberryMurrysvilleRichland TownshipRichlandHampton TownshipHamptonMoon TownshipRobinson TownshipRobinsonSouth Fayette TownshipS FayetteBethel ParkNorth Strabane TownshipN StrabaneScott TownshipScottRoss TownshipJefferson HillsJefferson HlsPittsburghPittsburghCecil TownshipCecilAllegheny CountyAlleghenyMonroevilleNorth Fayette TownshipN FayettePlumShaler TownshipShalerSouth Park TownshipS PkPenn TownshipNortheastMiddle AtlanticNorth Huntingdon TownshipN HuntingdonGreensburgCenter TownshipCtrWhitehallPittsburgh Metro AreaPittsburghUnity TownshipUnityWest Deer TownshipW DeerHempfield TownshipHempfieldWilkinsburgUnited States of AmericaUnited StatesButler TownshipButlerPennsylvaniaPenn Hills TownshipPenn HlsMunhallBaldwinRostraver TownshipRostraverHopewell TownshipHopewellLower BurrellElizabeth TownshipElizabethNew KensingtonWest MifflinWashingtonButlerNorth Union TownshipN UnionDerry TownshipDerryMcKeesport72.843567%72.843567%72.8%5,979170.384062%70.384062%70.4%6,854268.861668%68.861668%68.9%16,30316.3k368.550572%68.550572%68.6%9,109460.984509%60.984509%61.0%8,858558.763797%58.763797%58.8%5,324657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k852.480594%52.480594%52.5%7,775952.250563%52.250563%52.3%4,1791050.836804%50.836804%50.8%6,7131149.800012%49.800012%49.8%8,3421247.728775%47.728775%47.7%5,0541346.871142%46.871142%46.9%4,9361445.546218%45.546218%45.5%10,84010.8k1545.192949%45.192949%45.2%4,7431643.587389%43.587389%43.6%5,6961743.209260%43.209260%43.2%10,37810.4k1842.894969%42.894969%42.9%3,4021940.731207%40.731207%40.7%83,07783.1k40.731207%40.731207%40.7%83,07783.1k2039.155989%39.155989%39.2%3,3312139.069581%39.069581%39.1%343,876344k38.668410%38.668410%38.7%8,2822238.419435%38.419435%38.4%4,0012336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.050607%35.050607%35.1%3,4632634.933982%34.933982%34.9%5,0272734.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032833.042607%33.042607%33.0%3,2962932.880274%32.880274%32.9%2,7823032.857548%32.857548%32.9%3,4763132.546256%32.546256%32.5%550,613551k31.932125%31.932125%31.9%4,9683231.702055%31.702055%31.7%2,7923330.903052%30.903052%30.9%9,7703430.714162%30.714162%30.7%3,5613530.315023%30.315023%30.3%64,767,78764.8M29.963105%29.963105%30.0%3,8173629.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163726.430750%26.430750%26.4%2,1663826.371352%26.371352%26.4%3,8223925.885423%25.885423%25.9%2,0834025.586957%25.586957%25.6%2,3544125.281955%25.281955%25.3%2,1524224.992451%24.992451%25.0%2,4834323.624801%23.624801%23.6%2,2294422.003117%22.003117%22.0%3,2474517.951506%17.951506%18.0%1,6514616.282999%16.282999%16.3%1,5424713.505716%13.505716%13.5%1,2644812.837775%12.837775%12.8%1,3734912.267740%12.267740%12.3%1,67750
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#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Pittsburgh, selected other county subdivisions in the Pittsburgh Area, and entities that contain Pittsburgh
0%5%10%Count#Franklin ParkMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairHampton TownshipHamptonPine TownshipPittsburghPittsburghMurrysvilleMcCandless TownshipMcCandlessPeters TownshipPetersAllegheny CountyAlleghenyMoon TownshipUnity TownshipUnityCranberry TownshipCranberryMonroevilleRoss TownshipRichland TownshipRichlandBethel ParkNortheastMiddle AtlanticAdams TownshipAdamsPittsburgh Metro AreaPittsburghNorth Strabane TownshipN StrabaneUnited States of AmericaUnited StatesPennsylvaniaShaler TownshipShalerSouth Fayette TownshipS FayetteScott TownshipScottCecil TownshipCecilGreensburgRostraver TownshipRostraverWilkinsburgNorth Fayette TownshipN FayetteMunhallHempfield TownshipHempfieldSouth Park TownshipS PkWhitehallRobinson TownshipRobinsonPenn Hills TownshipPenn HlsPenn TownshipElizabeth TownshipElizabethCenter TownshipCtrHopewell TownshipHopewellLower BurrellNew KensingtonJefferson HillsJefferson HlsNorth Huntingdon TownshipN HuntingdonButler TownshipButlerPlumBaldwinWest Deer TownshipW DeerWashingtonButlerWest MifflinNorth Union TownshipN UnionMcKeesportDerry TownshipDerry13.134114%13.134114%13.1%1,279112.929250%12.929250%12.9%3,061212.409693%12.409693%12.4%1,64938.436198%8.436198%8.4%1,11447.614522%7.614522%7.6%62557.432194%7.432194%7.4%15,15915.2k7.432194%7.432194%7.4%15,15915.2k67.080661%7.080661%7.1%1,04976.966325%6.966325%7.0%1,44686.781411%6.781411%6.8%98595.039180%5.039180%5.0%44,35344.4k4.871351%4.871351%4.9%816104.769251%4.769251%4.8%742114.697157%4.697157%4.7%950124.440190%4.440190%4.4%951134.221834%4.221834%4.2%1,014144.201050%4.201050%4.2%336154.105042%4.105042%4.1%977164.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.741722%3.741722%3.7%339173.600869%3.600869%3.6%60,91960.9k3.439733%3.439733%3.4%361183.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713193.228563%3.228563%3.2%340203.221610%3.221610%3.2%421213.044552%3.044552%3.0%259222.957393%2.957393%3.0%295232.758792%2.758792%2.8%222242.682422%2.682422%2.7%311252.669483%2.669483%2.7%278262.489323%2.489323%2.5%204272.479836%2.479836%2.5%784282.469636%2.469636%2.5%244292.438794%2.438794%2.4%258302.408159%2.408159%2.4%255312.356013%2.356013%2.4%731322.251564%2.251564%2.3%324332.194263%2.194263%2.2%218342.021038%2.021038%2.0%171352.000000%2.000000%2.0%184361.985432%1.985432%2.0%169371.907790%1.907790%1.9%180381.866095%1.866095%1.9%148391.814658%1.814658%1.8%412401.562132%1.562132%1.6%199411.544151%1.544151%1.5%309421.483475%1.483475%1.5%215431.226297%1.226297%1.2%108441.141677%1.141677%1.1%105451.024287%1.024287%1.0%97460.955479%0.955479%1.0%141470.758628%0.758628%0.8%71480.548647%0.548647%0.5%75490.448808%0.448808%0.4%4850
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#50

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 Pittsburgh, selected other county subdivisions in the Pittsburgh Area, and entities that contain Pittsburgh
Female
Male
2x1x0x1xFM#PetersShalerAdamsLower BurrellN StrabaneCtrWhitehallRostraverMunhallMt LebanonWest MifflinNew KensingtonWilkinsburgHempfieldDerryMcKeesportPine TownshipUnityN UnionUnited StatesPennsylvaniaS FayetteNortheastMiddle AtlanticPenn TownshipBaldwinPittsburghMoon TownshipPlumMurrysvillePenn HlsWashingtonAlleghenyButlerPittsburghPittsburghN FayetteElizabethBethel ParkCecilMonroevilleUpper St. ClairW DeerButlerJefferson HlsMcCandlessHamptonN HuntingdonRoss TownshipGreensburgRobinsonS PkHopewellScottCranberryRichlandFranklin Park-1.000000x-1.000000x1.982039x1.982039x1.98x1.545%1.55%3.063%3.06%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.512764x1.512764x1.51x1.894%1.89%2.865%2.87%3-1.000000x-1.000000x1.429753x1.429753x1.43x4.856%4.86%6.943%6.94%4-1.000000x-1.000000x1.427362x1.427362x1.43x3.889%3.89%5.551%5.55%5-1.000000x-1.000000x1.405987x1.405987x1.41x4.637%4.64%6.520%6.52%6-1.000000x-1.000000x1.355787x1.355787x1.36x7.478%7.48%10.138%10.1%7-1.000000x-1.000000x1.337913x1.337913x1.34x4.379%4.38%5.859%5.86%8-1.000000x-1.000000x1.321989x1.321989x1.32x6.071%6.07%8.026%8.03%9-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%10-1.000000x-1.000000x1.309286x1.309286x1.31x4.977%4.98%6.517%6.52%11-1.000000x-1.000000x1.279801x1.279801x1.28x10.987%11.0%14.062%14.1%12-1.000000x-1.000000x1.249216x1.249216x1.25x8.344%8.34%10.424%10.4%13-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%14-1.000000x-1.000000x1.214660x1.214660x1.21x9.690%9.69%11.770%11.8%15-1.000000x-1.000000x1.207679x1.207679x1.21x12.567%12.6%15.177%15.2%16-1.000000x-1.000000x1.141684x1.141684x1.14x0.684%0.68%0.781%0.78%17-1.000000x-1.000000x1.130306x1.130306x1.13x6.490%6.49%7.336%7.34%18-1.000000x-1.000000x1.120959x1.120959x1.12x11.824%11.8%13.254%13.3%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.087339x1.087339x1.09x5.225%5.23%5.682%5.68%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-1.000000x1.040383x1.040383x1.04x4.281%4.28%4.453%4.45%21-1.000000x-1.000000x1.029151x1.029151x1.03x6.309%6.31%6.493%6.49%22-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-1.000000x-1.000000x1.010004x1.010004x1.01x5.143%5.14%5.195%5.19%23-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%24-1.000014x-1.000014x1.00x1.000000x1.000000x3.193%3.19%3.193%3.19%25-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%26-1.018234x-1.018234x1.02x1.000000x1.000000x13.217%13.2%12.980%13.0%27-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-1.038960x-1.038960x1.04x1.000000x1.000000x11.113%11.1%10.697%10.7%28-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%29-1.086419x-1.086419x1.09x1.000000x1.000000x6.842%6.84%6.298%6.30%30-1.105460x-1.105460x1.11x1.000000x1.000000x4.147%4.15%3.752%3.75%31-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%32-1.135043x-1.135043x1.14x1.000000x1.000000x6.447%6.45%5.680%5.68%33-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%34-1.165296x-1.165296x1.17x1.000000x1.000000x1.419%1.42%1.218%1.22%35-1.184230x-1.184230x1.18x1.000000x1.000000x7.893%7.89%6.665%6.67%36-1.191524x-1.191524x1.19x1.000000x1.000000x6.102%6.10%5.121%5.12%37-1.209319x-1.209319x1.21x1.000000x1.000000x3.075%3.08%2.543%2.54%38-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%39-1.279586x-1.279586x1.28x1.000000x1.000000x3.416%3.42%2.670%2.67%40-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%41-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%42-1.304698x-1.304698x1.30x1.000000x1.000000x8.186%8.19%6.274%6.27%43-1.371760x-1.371760x1.37x1.000000x1.000000x7.980%7.98%5.818%5.82%44-1.372742x-1.372742x1.37x1.000000x1.000000x3.393%3.39%2.472%2.47%45-1.422764x-1.422764x1.42x1.000000x1.000000x9.058%9.06%6.366%6.37%46-1.679137x-1.679137x1.68x1.000000x1.000000x6.460%6.46%3.847%3.85%47-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%48-2.427134x-2.427134x2.43x1.000000x1.000000x4.789%4.79%1.973%1.97%49-2.643304x-2.643304x2.64x1.000000x1.000000x1.483%1.48%0.561%0.56%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#51

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 Pittsburgh, selected other county subdivisions in the Pittsburgh Area, and entities that contain Pittsburgh
Female
Male
2x0x2x4xFM#DerryLower BurrellRichlandMcKeesportWhitehallHopewellN StrabaneElizabethButlerS PkWest MifflinUnityPine TownshipUpper St. ClairMt LebanonPenn TownshipHempfieldNew KensingtonN HuntingdonCranberryBaldwinMurrysvilleRoss TownshipWilkinsburgMcCandlessPetersFranklin ParkPittsburghPennsylvaniaW DeerHamptonScottAlleghenyS FayetteMonroevilleUnited StatesMiddle AtlanticNortheastGreensburgMoon TownshipPittsburghPittsburghCecilButlerCtrBethel ParkShalerAdamsJefferson HlsRostraverPlumPenn HlsN UnionWashingtonMunhallN FayetteRobinson-1.000000x-1.000000x5.335330x5.335330x5.34x0.145%0.14%0.773%0.77%1-1.000000x-1.000000x4.424405x4.424405x4.42x0.749%0.75%3.313%3.31%2-1.000000x-1.000000x4.195896x4.195896x4.20x1.668%1.67%6.998%7.00%3-1.000000x-1.000000x4.142305x4.142305x4.14x0.227%0.23%0.939%0.94%4-1.000000x-1.000000x3.501723x3.501723x3.50x1.156%1.16%4.047%4.05%5-1.000000x-1.000000x3.033869x3.033869x3.03x1.002%1.00%3.039%3.04%6-1.000000x-1.000000x2.907647x2.907647x2.91x1.764%1.76%5.130%5.13%7-1.000000x-1.000000x2.776795x2.776795x2.78x1.209%1.21%3.357%3.36%8-1.000000x-1.000000x2.751751x2.751751x2.75x0.853%0.85%2.346%2.35%9-1.000000x-1.000000x2.747368x2.747368x2.75x1.350%1.35%3.708%3.71%10-1.000000x-1.000000x2.680211x2.680211x2.68x0.543%0.54%1.456%1.46%11-1.000000x-1.000000x2.576396x2.576396x2.58x2.712%2.71%6.988%6.99%12-1.000000x-1.000000x2.408624x2.408624x2.41x4.529%4.53%10.910%10.9%13-1.000000x-1.000000x2.390630x2.390630x2.39x7.507%7.51%17.946%17.9%14-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%15-1.000000x-1.000000x2.289886x2.289886x2.29x1.386%1.39%3.175%3.17%16-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%17-1.000000x-1.000000x2.072311x2.072311x2.07x1.272%1.27%2.635%2.64%18-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%19-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%20-1.000000x-1.000000x1.910738x1.910738x1.91x1.036%1.04%1.980%1.98%21-1.000000x-1.000000x1.846175x1.846175x1.85x5.036%5.04%9.297%9.30%22-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%23-1.000000x-1.000000x1.707474x1.707474x1.71x2.071%2.07%3.537%3.54%24-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%25-1.000000x-1.000000x1.668074x1.668074x1.67x5.138%5.14%8.571%8.57%26-1.000000x-1.000000x1.636144x1.636144x1.64x9.992%9.99%16.348%16.3%27-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.623772x1.623772x1.62x0.943%0.94%1.531%1.53%28-1.000000x-1.000000x1.622133x1.622133x1.62x6.534%6.53%10.599%10.6%29-1.000000x-1.000000x1.596146x1.596146x1.60x2.524%2.52%4.029%4.03%30-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-1.000000x-1.000000x1.591763x1.591763x1.59x2.523%2.52%4.015%4.02%31-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%32-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.485812x1.485812x1.49x2.459%2.46%3.654%3.65%33-1.000000x-1.000000x1.468207x1.468207x1.47x3.925%3.93%5.763%5.76%34-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%35-1.000000x-1.000000x1.365883x1.365883x1.37x2.588%2.59%3.535%3.53%36-1.000000x-1.000000x1.293502x1.293502x1.29x0.895%0.89%1.158%1.16%37-1.000000x-1.000000x1.292650x1.292650x1.29x1.780%1.78%2.301%2.30%38-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%39-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%40-1.000000x-1.000000x1.164008x1.164008x1.16x3.462%3.46%4.030%4.03%41-1.000000x-1.000000x1.092916x1.092916x1.09x1.788%1.79%1.954%1.95%42-1.000000x-1.000000x1.034381x1.034381x1.03x2.712%2.71%2.805%2.81%43-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%44-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%45-1.301386x-1.301386x1.30x1.000000x1.000000x0.849%0.85%0.652%0.65%46-1.407989x-1.407989x1.41x1.000000x1.000000x1.328%1.33%0.943%0.94%47-1.511966x-1.511966x1.51x1.000000x1.000000x2.977%2.98%1.969%1.97%48-1.536489x-1.536489x1.54x1.000000x1.000000x3.216%3.22%2.093%2.09%49-2.396983x-2.396983x2.40x1.000000x1.000000x3.345%3.34%1.395%1.40%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 Pennsylvania

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

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Pittsburgh, selected other county subdivisions in Pennsylvania, and entities that contain Pittsburgh
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghPittsburghFalls TownshipFallsHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgAllegheny CountyAlleghenyLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%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%16,40616.4k8.043576%8.043576%8.0%16,40616.4k227.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260247.130926%7.130926%7.1%120,640121k6.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.132273%6.132273%6.1%53,97454.0k6.020431%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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Pittsburgh, selected other county subdivisions in Pennsylvania, and entities that contain Pittsburgh
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 TownshipPittsburghPittsburghMillcreek TownshipMillcreekAllegheny CountyAlleghenyMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonPittsburgh Metro AreaPittsburghHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k40.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2039.069581%39.069581%39.1%343,876344k38.668410%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%7,6032832.546256%32.546256%32.5%550,613551k30.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Pittsburgh, selected other county subdivisions in Pennsylvania, and entities that contain Pittsburgh
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenAllegheny CountyAlleghenyMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaPittsburgh Metro AreaPittsburghLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k7.432194%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%1,155165.039180%5.039180%5.0%44,35344.4k4.703063%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%38,51538.5k243.600869%3.600869%3.6%60,91960.9k3.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#55

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 Pittsburgh, selected other county subdivisions in Pennsylvania, and entities that contain Pittsburgh
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePittsburghPlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAlleghenyAbingtonMiddletownPittsburghPittsburghUpper 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-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%22-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%24-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-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%32-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-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%-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#56

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 Pittsburgh, selected other county subdivisions in Pennsylvania, and entities that contain Pittsburgh
Female
Male
1x0x1x2x3x4xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPittsburghPennsylvaniaAlleghenyHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPittsburghPhiladelphiaWilkes-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-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%26-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%27-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%28-1.000000x-1.000000x1.661960x1.661960x1.66x11.969%12.0%19.892%19.9%29-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%30-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-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%-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 Pittsburgh to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Pittsburgh. The least populous of the compared county subdivisions has a population of 91,133.

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Pittsburgh, selected other county subdivisions in the Northeast, and entities that contain Pittsburgh
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghPittsburgh Metro AreaPittsburghAllegheny CountyAlleghenyCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%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%16,40616.4k8.043576%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%4,660467.130926%7.130926%7.1%120,640121k6.132273%6.132273%6.1%53,97454.0k5.858411%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Pittsburgh, selected other county subdivisions in the Northeast, and entities that contain Pittsburgh
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 CityQuincyPittsburghPittsburghAllegheny CountyAlleghenyTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticPittsburgh Metro AreaPittsburghTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k40.731207%40.731207%40.7%83,07783.1k1439.069581%39.069581%39.1%343,876344k38.767308%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%9,577,4379.58M32.546256%32.546256%32.5%550,613551k32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Pittsburgh, selected other county subdivisions in the Northeast, and entities that contain Pittsburgh
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonAllegheny CountyAlleghenyTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyPittsburgh Metro AreaPittsburghWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k7.432194%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%3,788155.039180%5.039180%5.0%44,35344.4k4.441262%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%2,583223.600869%3.600869%3.6%60,91960.9k3.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#60

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 Pittsburgh, selected other county subdivisions in the Northeast, and entities that contain Pittsburgh
Female
Male
1x0x1xFM#StamfordGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonPittsburghStaten IslandAlbanyBrocktonBostonQueensAlleghenyManhattanBuffaloPittsburghPittsburghOyster 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-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-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%38-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-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%-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#61

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 Pittsburgh, selected other county subdivisions in the Northeast, and entities that contain Pittsburgh
Female
Male
1x0x1x2xFM#LakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPittsburghPennsylvaniaAlleghenyElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten 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-1.000000x1.800589x1.800589x1.80x1.521%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-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-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%-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 Pittsburgh to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Pittsburgh. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Pittsburgh, selected other county subdivisions in the United States, and entities that contain Pittsburgh
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPittsburghPittsburghPittsburgh Metro AreaPittsburghAllegheny CountyAlleghenyPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k488.043576%8.043576%8.0%16,40616.4k8.043576%8.043576%8.0%16,40616.4k7.130926%7.130926%7.1%120,640121k6.132273%6.132273%6.1%53,97454.0k5.714681%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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Pittsburgh, selected other county subdivisions in the United States, and entities that contain Pittsburgh
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlottePittsburghPittsburghAllegheny CountyAlleghenyTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerquePittsburgh Metro AreaPittsburghTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1240.731207%40.731207%40.7%83,07783.1k40.731207%40.731207%40.7%83,07783.1k39.069581%39.069581%39.1%343,876344k38.767308%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%140,967141k2432.546256%32.546256%32.5%550,613551k32.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Pittsburgh, selected other county subdivisions in the United States, and entities that contain Pittsburgh
0%5%10%Count#WashingtonManhattanSan FranciscoPittsburghPittsburghBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinAllegheny CountyAlleghenyBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyPittsburgh Metro AreaPittsburghTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.432194%7.432194%7.4%15,15915.2k7.432194%7.432194%7.4%15,15915.2k7.340604%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%28,95529.0k115.039180%5.039180%5.0%44,35344.4k4.934352%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%45,61045.6k253.600869%3.600869%3.6%60,91960.9k3.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#65

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 Pittsburgh, selected other county subdivisions in the United States, and entities that contain Pittsburgh
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynPittsburghSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiAlleghenyManhattanSeattlePittsburghPittsburghLong 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-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-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%42-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-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%44-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%-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#66

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 Pittsburgh, selected other county subdivisions in the United States, and entities that contain Pittsburgh
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPittsburghPennsylvaniaTucson1, CharlotteAlleghenyNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusPittsburghPittsburghMiamiAtlantaMilwaukeeAnaheim-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-1.000000x1.782054x1.782054x1.78x3.355%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-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-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-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-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-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%-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:
Allegheny
Metro Area:
Pittsburgh Area
City:
Pittsburgh
ZIP Codes:
15106, 15120, 15201, 15203, 15204, 15205, 15206, 15207, 15208, 15210, 15211, 15212, 15213, 15214, 15215, 15216, 15217, 15218, 15219, 15220, 15221, 15222, 15224, 15226, 15227, 15232, 15233, 15234, 15235, 15236, 15238, 15260, 15290
Unified School Districts:
Baldwin-Whitehall, Pittsburgh
Neighborhoods:
Allegheny Center, Allegheny West, Allentown, Arlington, Arlington Heights, Banksville, Bedford Dwellings, Beechview, Beltzhoover, Bloomfield, Bluff, Bon Air, Brighton Heights, Brookline, Brundis Island, California-Kirkbride, Carrick, Central Business District, Central Lawrenceville, Central Northside, Chartiers City, Chateau, Crafton Heights, Crawford Roberts, Dormont, Duquesne Heights, East Allegheny, East Carnegie, East Hills, East Liberty, Elliott, Esplen, Fairywood, Fine View, Friendship, Garfield, Glen Hazel, Greenfield, Hays, Hazelwood, Herrs Island, Highland Park, Homewood North, Homewood South, Homewood West, Knoxville, Larimer, Lincoln Place, Lincoln-Lemington-Belmar, Lower Lawrenceville, Manchester, Marshall - Shadeland, Middle Hill, Morningside, Mount Washington, Mt Oliver, North Oakland, North Shore, Northview Heights, Oakland, Oakwood, Overbrook, Perry North, Perry South, Point Breeze, Point Breeze North, Polish Hill, Regent Square, Ridgemont, Shadyside, Sheraden, South Shore, Southside Flats, Southside Slopes, Spring Garden, Spring Hill - City View, Squirrel Hill North, Squirrel Hill South, St. Clair, Stanton Heights, Strip District, Summer Hill, Swisshelm Park, Terrace Village, Troy Hill, Upper Hill, Upper Lawrenceville, West End, West Oakland, Westwood, Wind Gap
Congressional District:
PA-14
State Senate Districts:
PA-38, PA-42, PA-43, PA-45
State House Districts:
PA-19, PA-20, PA-21, PA-23, PA-24, PA-27, PA-34, PA-36, PA-42
Neighboring Townships:
Baldwin, Kennedy, Mount Lebanon, O'Hara, Penn Hills, Reserve, Robinson, Ross, Scott, Shaler, Stowe