Educational Attainment in Berlin, Somerset County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Somerset County and Berlin
Berlin
Somerset County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma222.124493%23.665175%22.124493%22.1%32765.493911%63.477354%65.493911%65.5%96812.381597%12.857471%12.381597%12.4%183
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 Somerset County at large.
Scope: population of Somerset County and Berlin
-5%0%+5%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-6.510337%-6.510337%-6.5%22.124%22.1%23.665%23.7%3.176814%3.176814%+3.2%65.494%65.5%63.477%63.5%-3.701152%-3.701152%-3.7%12.382%12.4%12.857%12.9%
% percentage with given level in Berlin
ref. percentage with given level in Somerset 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 Somerset County and Berlin
Berlin
Somerset County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.338295%0.488124%0.338295%0.3%51.082544%0.944414%1.082544%1.1%165.412720%3.871390%5.412720%5.4%808.119080%10.162177%8.119080%8.1%1207.171854%8.199070%7.171854%7.2%10612.584574%14.325381%12.584574%12.6%18652.909337%49.151973%52.909337%52.9%7827.036536%8.161930%7.036536%7.0%1044.803789%3.464620%4.803789%4.8%710.541272%1.230922%0.541272%0.5%8
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 Somerset County at large.
Scope: population of Somerset County and Berlin
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-30.694878%-30.694878%-30.7%0.338%0.34%0.488%0.49%14.626000%14.626000%+14.6%1.083%1.08%0.944%0.94%39.813349%39.813349%+39.8%5.413%5.41%3.871%3.87%-20.104920%-20.104920%-20.1%8.119%8.12%10.162%10.2%-12.528444%-12.528444%-12.5%7.172%7.17%8.199%8.20%-12.151907%-12.151907%-12.2%12.585%12.6%14.325%14.3%7.644381%7.644381%+7.6%52.909%52.9%49.152%49.2%-13.788332%-13.788332%-13.8%7.037%7.04%8.162%8.16%38.652698%38.652698%+38.7%4.804%4.80%3.465%3.46%-56.027095%-56.027095%-56.0%0.541%0.54%1.231%1.23%
% percentage with given level in Berlin
ref. percentage with given level in Somerset 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 Somerset County and Berlin
More Females More Males
Somerset County
Berlin
60%40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-38.743952%-22.461547%-38.743952%39%25.375%25.4%18.289%18.3%22.972754%4.689586%22.972754%23%59.250%59.3%72.861%72.9%-73.737500%-73.737500%74%15.910612%15.375%15.4%8.850%8.85%
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 Somerset County and Berlin
More Females More Males
Somerset County
Berlin
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-4.359347%1,000.000000%1,000.000000%> 1000%0.000%0%0.737%0.74%411.307768%101.041484%411.307768%0k%0.375%0.38%1.917%1.92%-8.964286%-69.231861%-8.964286%0k%5.625%5.63%5.162%5.16%-143.314516%-10.308663%-143.314516%0k%11.125%11.1%4.572%4.57%-39.837500%-33.986498%-39.837500%0k%8.250%8.25%5.900%5.90%-10.114458%3.691785%3.691785%0k%12.375%12.4%12.832%12.8%28.062930%9.136350%28.062930%0k%46.875%46.9%60.029%60.0%-35.600000%-35.600000%0k%5.797953%8.000%8.00%5.900%5.90%-116.112500%-116.112500%0k%10.661898%6.375%6.38%2.950%2.95%-1,000.000000%-1,000.000000%> 1000%160.943088%1.000%1.00%0.000%0%
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 Somerset County and Berlin
Berlin
Somerset County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-343.589744%6.340150%3.589744%3.6%215858.471455%11.270483%8.471455%8.5%465439.128631%10.531391%9.128631%9.1%2224128.440367%13.727769%28.440367%28.4%31109
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 Somerset County at large.
Scope: population of Somerset County and Berlin
0%50%100%%ref.65+45-6435-4425-34-43.380778%-43.380778%43.4%3.590%3.59%6.340%6.34%-24.835032%-24.835032%24.8%8.471%8.47%11.270%11.3%-13.319798%-13.319798%13.3%9.129%9.13%10.531%10.5%107.173986%107.173986%107.2%28.440%28.4%13.728%13.7%
% percentage in Berlin with a Bachelor's degree
ref percentage in Somerset 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 Somerset County and Berlin
More Females More Males
Somerset County
Berlin
1,000%500%0%FM65+45-6435-4425-34-145.558912%-145.558912%145.6%70.703534%4.834%4.83%1.969%1.97%-77.648402%-19.569300%-77.648402%77.6%10.616%10.6%5.976%5.98%-1,000.000000%-115.589108%-1,000.000000%> 1000%17.742%17.7%0.000%0%-92.109777%-12.275092%-92.109777%92.1%37.736%37.7%19.643%19.6%
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 Somerset County and Berlin
Berlin
Somerset County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$40,357.000000$53,316.000000$40,357.000000$40.4k1016.834%6.83%$48,047.000000$42,478.000000$48,047.000000$48.0k1208.119%8.12%$35,167.000000$31,192.000000$35,167.000000$35.2k29219.756%19.8%$25,329.000000$26,762.000000$25,329.000000$25.3k78252.909%52.9%$34,009.000000$30,820.000000$34,009.000000$34.0k1,478100.000%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 Somerset County and Berlin
Female Male
Somerset County
Berlin
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-36,750.000000$-4,143.000000$-48,720.000000$-40,893.000000$40.9k$36,750.000000$48,720.000000$17,843.000000$36,750.000000$36.8k4853$-47,750.000000$-39,891.000000$-47,750.000000$47.8k$47,750.000000$432.000000$39,891.000000$6,268.000000$48,182.000000$48.2k8931$-25,417.000000$-25,476.000000$-25,417.000000$25.4k$25,417.000000$14,083.000000$25,476.000000$14,860.000000$39,500.000000$39.5k165127$-16,167.000000$-19,996.000000$-16,167.000000$16.2k$16,167.000000$24,208.000000$19,996.000000$14,964.000000$40,375.000000$40.4k375407$-22,370.000000$-24,231.000000$-22,370.000000$22.4k$22,370.000000$16,737.000000$24,231.000000$12,981.000000$39,107.000000$39.1k800678
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Somerset County and Berlin
Berlin
Somerset County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.977273%81.114150%78.977273%79.0%13983.333333%68.884652%83.333333%83.3%19067.111111%66.156297%67.111111%67.1%30248.717949%38.303660%48.717949%48.7%19
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Somerset County and Berlin
Female Male
Somerset County
Berlin
Shaded bar tips show excess over facing bar.
100%80%60%40%20%0%20%MFWhite1Black-9.090909%-5.972382%-11.493351%-15.063291%15.1%9.090909%11.493351%0.957837%9.090909%9.1%60119-0.000000%-100.000000%-22.340426%-15.590609%-100.000000%100.0%0.000000%22.340426%0.000000%0.0%04
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Somerset County and Berlin
Female Male
Somerset County
Berlin
Shaded bar tips show excess over facing bar.
30%20%10%0%10%MFWhite1Black-12.727273%-3.855006%-14.924318%-1.660173%-16.582278%16.6%12.727273%14.924318%12.727273%12.7%84131-0.000000%-4.317897%-29.302792%0.000000%0.0%0.000000%0.000000%4.317897%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Somerset Area

There are 50 county subdivisions in the Somerset Area. This section compares Berlin to all of the county subdivisions in the Somerset Area and to those entities that contain or substantially overlap with Berlin.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Berlin, selected other county subdivisions in the Somerset Area, and entities that contain Berlin
0%10%20%Count#Elk Lick TownshipElk LickBensonUrsinaSouthampton TownshipSouthamptonShade TownshipShadeLower Turkeyfoot TownshipLower TurkeyfootGarrettHooversvilleGreenville TownshipGreenvilleMeyersdaleSummit TownshipSummitFairhope TownshipFairhopeSomerset TownshipSomersetConfluenceStonycreek TownshipStonycreekBlack TownshipBlackPaint TownshipPaintLarimer TownshipLarimerQuemahoning TownshipQuemahoningSomersetZIP Code 15530ZIP 15530PaintUnited States of AmericaUnited StatesSomerset Metro AreaSomerset AreaSomerset CountySomersetAddisonJenner TownshipJennerBerlinBerlinNew CentervilleMiddle AtlanticRockwoodCallimont021400Tract 021400Brothersvalley TownshipBrothersvalleyNortheastBerlin Brothersvalley School DistrictBerlin BrothersvalleyOgle TownshipAddison TownshipAddisonCentral CityPennsylvaniaBoswellWindberNew BaltimoreJefferson TownshipJeffersonAllegheny TownshipAlleghenySalisburyNorthampton TownshipNorthamptonMilford TownshipMilfordMiddlecreek TownshipMiddlecreekLincoln TownshipLincolnWellersburgCasselmanStoystownUpper Turkeyfoot TownshipUpper TurkeyfootConemaugh TownshipConemaughJennerstownShanksvilleIndian LakeSeven Springs27.910143%27.910143%27.9%410126.923077%26.923077%26.9%35219.680851%19.680851%19.7%37319.421488%19.421488%19.4%94419.315278%19.315278%19.3%378517.257683%17.257683%17.3%73616.967509%16.967509%17.0%47716.397229%16.397229%16.4%71816.359447%16.359447%16.4%71916.340782%16.340782%16.3%2341014.960182%14.960182%15.0%2631114.942529%14.942529%14.9%131214.796334%14.796334%14.8%1,4531314.648438%14.648438%14.6%751414.035088%14.035088%14.0%2081513.815789%13.815789%13.8%841613.797578%13.797578%13.8%3191713.756614%13.756614%13.8%521813.575927%13.575927%13.6%1941913.247574%13.247574%13.2%5872013.199046%13.199046%13.2%49813.025780%13.025780%13.0%962113.020590%13.020590%13.0%27,818,38027.8M12.857471%12.857471%12.9%7,27012.857471%12.857471%12.9%7,27012.857143%12.857143%12.9%182212.700034%12.700034%12.7%3732312.381597%12.381597%12.4%18312.381597%12.381597%12.4%1832412.371134%12.371134%12.4%122512.313400%12.313400%12.3%3,505,1913.51M12.220310%12.220310%12.2%712612.121212%12.121212%12.1%42712.012678%12.012678%12.0%37911.687537%11.687537%11.7%1962811.614335%11.614335%11.6%4,487,0854.49M11.573850%11.573850%11.6%47811.403509%11.403509%11.4%392911.016949%11.016949%11.0%783010.661269%10.661269%10.7%793110.459911%10.459911%10.5%925,686926k10.154525%10.154525%10.2%923210.140562%10.140562%10.1%3033310.101010%10.101010%10.1%103410.079840%10.079840%10.1%101359.717314%9.717314%9.7%55369.500805%9.500805%9.5%59379.417040%9.417040%9.4%21389.059534%9.059534%9.1%105398.941878%8.941878%8.9%60408.724203%8.724203%8.7%93418.620690%8.620690%8.6%15428.000000%8.000000%8.0%4437.547170%7.547170%7.5%20447.314149%7.314149%7.3%61456.933041%6.933041%6.9%380465.825243%5.825243%5.8%24474.516129%4.516129%4.5%7483.735632%3.735632%3.7%13490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Berlin, selected other county subdivisions in the Somerset Area, and entities that contain Berlin
0%10%20%30%40%Count#Indian LakeSeven SpringsNortheastMiddle AtlanticUnited States of AmericaUnited StatesPennsylvaniaOgle TownshipStoystownNew CentervilleCallimontJefferson TownshipJeffersonJennerstownSomersetShanksvillePaint TownshipPaintConemaugh TownshipConemaughWindberPaintMilford TownshipMilfordAddison TownshipAddisonUrsinaLincoln TownshipLincolnMiddlecreek TownshipMiddlecreekSomerset Metro AreaSomerset AreaSomerset CountySomersetGreenville TownshipGreenvilleHooversvilleBerlinBerlinLower Turkeyfoot TownshipLower TurkeyfootRockwoodAllegheny TownshipAlleghenyZIP Code 15530ZIP 15530Stonycreek TownshipStonycreek021400Tract 021400SalisburyCentral CityBerlin Brothersvalley School DistrictBerlin BrothersvalleySomerset TownshipSomersetNorthampton TownshipNorthamptonSouthampton TownshipSouthamptonBrothersvalley TownshipBrothersvalleyConfluenceElk Lick TownshipElk LickShade TownshipShadeUpper Turkeyfoot TownshipUpper TurkeyfootBoswellSummit TownshipSummitJenner TownshipJennerMeyersdaleAddisonWellersburgLarimer TownshipLarimerBlack TownshipBlackQuemahoning TownshipQuemahoningNew BaltimoreGarrettFairhope TownshipFairhopeBensonCasselman43.965517%43.965517%44.0%153137.500000%37.500000%37.5%3234.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M30.315023%30.315023%30.3%64,767,78764.8M29.333279%29.333279%29.3%2,595,9502.60M26.315789%26.315789%26.3%90325.283019%25.283019%25.3%67424.742268%24.742268%24.7%24524.242424%24.242424%24.2%8622.854291%22.854291%22.9%229722.572816%22.572816%22.6%93822.184608%22.184608%22.2%983921.290323%21.290323%21.3%331020.155709%20.155709%20.2%4661119.850392%19.850392%19.9%1,0881219.377510%19.377510%19.4%5791319.267300%19.267300%19.3%1421418.809318%18.809318%18.8%2181517.937853%17.937853%17.9%1271616.489362%16.489362%16.5%311716.322702%16.322702%16.3%1741815.797317%15.797317%15.8%1061915.466105%15.466105%15.5%8,74515.466105%15.466105%15.5%8,74515.437788%15.437788%15.4%672015.242494%15.242494%15.2%662114.952639%14.952639%15.0%22114.952639%14.952639%15.0%2212214.657210%14.657210%14.7%622314.285714%14.285714%14.3%832414.134276%14.134276%14.1%802513.941161%13.941161%13.9%52613.630229%13.630229%13.6%2022613.565769%13.565769%13.6%42813.526570%13.526570%13.5%842713.495277%13.495277%13.5%1002813.244552%13.244552%13.2%54712.668024%12.668024%12.7%1,2442912.556054%12.556054%12.6%283012.396694%12.396694%12.4%603112.343470%12.343470%12.3%2073212.304688%12.304688%12.3%633312.253233%12.253233%12.3%1803412.110373%12.110373%12.1%2373512.110312%12.110312%12.1%1013612.030905%12.030905%12.0%1093711.774744%11.774744%11.8%2073811.576439%11.576439%11.6%3403910.963687%10.963687%11.0%1574010.000000%10.000000%10.0%14419.770115%9.770115%9.8%17427.936508%7.936508%7.9%30437.565789%7.565789%7.6%46446.578027%6.578027%6.6%94456.060606%6.060606%6.1%6465.776173%5.776173%5.8%16475.747126%5.747126%5.7%5483.846154%3.846154%3.8%5490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Berlin, selected other county subdivisions in the Somerset Area, and entities that contain Berlin
0%1%2%3%4%5%Count#Indian LakeNortheastMiddle AtlanticUnited States of AmericaUnited StatesPennsylvaniaSomersetCentral CityConemaugh TownshipConemaughStonycreek TownshipStonycreekLincoln TownshipLincolnAddison TownshipAddisonPaint TownshipPaintNorthampton TownshipNorthamptonJefferson TownshipJeffersonSomerset Metro AreaSomerset AreaSomerset CountySomersetBerlinBerlinGreenville TownshipGreenvilleWindberZIP Code 15530ZIP 15530ShanksvilleSomerset TownshipSomersetBoswellWellersburgStoystownQuemahoning TownshipQuemahoningPaintUpper Turkeyfoot TownshipUpper TurkeyfootNew Centerville021400Tract 021400Berlin Brothersvalley School DistrictBerlin BrothersvalleyMeyersdaleOgle TownshipLarimer TownshipLarimerJenner TownshipJennerJennerstownAllegheny TownshipAlleghenyHooversvilleShade TownshipShadeElk Lick TownshipElk LickBrothersvalley TownshipBrothersvalleySalisburySummit TownshipSummitSouthampton TownshipSouthamptonMilford TownshipMilfordBlack TownshipBlackMiddlecreek TownshipMiddlecreekRockwoodConfluenceLower Turkeyfoot TownshipLower TurkeyfootGarrettUrsinaAddisonBensonNew BaltimoreFairhope TownshipFairhopeCasselmanCallimontSeven Springs5.747126%5.747126%5.7%2014.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.069285%3.069285%3.1%13622.834008%2.834008%2.8%2132.791461%2.791461%2.8%15342.496626%2.496626%2.5%3752.063790%2.063790%2.1%2261.977401%1.977401%2.0%1471.859862%1.859862%1.9%4381.793722%1.793722%1.8%491.596806%1.596806%1.6%16101.432538%1.432538%1.4%8101.432538%1.432538%1.4%8101.420839%1.420839%1.4%211.420839%1.420839%1.4%21111.382488%1.382488%1.4%6121.305221%1.305221%1.3%39131.298701%1.298701%1.3%491.290323%1.290323%1.3%2141.272912%1.272912%1.3%125151.214128%1.214128%1.2%11161.149425%1.149425%1.1%2171.132075%1.132075%1.1%3181.119664%1.119664%1.1%16191.085482%1.085482%1.1%8201.079137%1.079137%1.1%9211.030928%1.030928%1.0%1220.950872%0.950872%1.0%300.920097%0.920097%0.9%380.907821%0.907821%0.9%13230.877193%0.877193%0.9%3240.793651%0.793651%0.8%3250.749064%0.749064%0.7%22260.728155%0.728155%0.7%3270.706714%0.706714%0.7%4280.692841%0.692841%0.7%3290.562085%0.562085%0.6%11300.544588%0.544588%0.5%8310.536673%0.536673%0.5%9320.483092%0.483092%0.5%3330.455063%0.455063%0.5%8340.413223%0.413223%0.4%2350.345125%0.345125%0.3%4360.328947%0.328947%0.3%2370.298063%0.298063%0.3%2380.172117%0.172117%0.2%1390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in the Somerset Area, and entities that contain Berlin
Female
Male
2x1x0x1x2x3xFM#JennerstownCallimontShanksvilleCasselmanConfluenceBensonSomersetFairhopeUpper TurkeyfootMiddlecreekJeffersonQuemahoningConemaughAlleghenyLower TurkeyfootRockwoodNorthamptonBlackLarimerUrsinaGarrettSomerset AreaSomersetUnited StatesPennsylvaniaShadeNortheastElk LickMiddle AtlanticPaintHooversvilleGreenvilleLincolnOgle TownshipJennerWellersburgCentral CitySummitBoswellAddisonSomersetBrothersvalleyZIP 15530StonycreekBerlin BrothersvalleySalisburyNew CentervilleTract 021400MilfordStoystownMeyersdaleWindberAddisonBerlinBerlinSouthamptonPaintIndian LakeNew Baltimore-1.000000x-1.000000x3.118812x3.118812x3.12x2.857%2.86%8.911%8.91%1-1.000000x-1.000000x2.823529x2.823529x2.82x6.250%6.25%17.647%17.6%2-1.000000x-1.000000x2.808219x2.808219x2.81x2.439%2.44%6.849%6.85%3-1.000000x-1.000000x2.769231x2.769231x2.77x4.167%4.17%11.538%11.5%4-1.000000x-1.000000x2.730303x2.730303x2.73x8.088%8.09%22.083%22.1%5-1.000000x-1.000000x2.635274x2.635274x2.64x14.035%14.0%36.986%37.0%6-1.000000x-1.000000x2.409565x2.409565x2.41x7.672%7.67%18.485%18.5%7-1.000000x-1.000000x2.302326x2.302326x2.30x9.091%9.09%20.930%20.9%8-1.000000x-1.000000x2.201741x2.201741x2.20x4.500%4.50%9.908%9.91%9-1.000000x-1.000000x2.141975x2.141975x2.14x5.764%5.76%12.346%12.3%10-1.000000x-1.000000x1.841958x1.841958x1.84x7.115%7.11%13.105%13.1%11-1.000000x-1.000000x1.692075x1.692075x1.69x10.084%10.1%17.063%17.1%12-1.000000x-1.000000x1.631181x1.631181x1.63x5.295%5.30%8.637%8.64%13-1.000000x-1.000000x1.596284x1.596284x1.60x7.407%7.41%11.824%11.8%14-1.000000x-1.000000x1.400000x1.400000x1.40x14.286%14.3%20.000%20.0%15-1.000000x-1.000000x1.324972x1.324972x1.32x10.490%10.5%13.898%13.9%16-1.000000x-1.000000x1.321429x1.321429x1.32x8.108%8.11%10.714%10.7%17-1.000000x-1.000000x1.282051x1.282051x1.28x12.188%12.2%15.625%15.6%18-1.000000x-1.000000x1.247597x1.247597x1.25x12.234%12.2%15.263%15.3%19-1.000000x-1.000000x1.236601x1.236601x1.24x17.442%17.4%21.569%21.6%20-1.000000x-1.000000x1.161248x1.161248x1.16x15.714%15.7%18.248%18.2%21-1.000000x-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-1.000000x-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-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-1.000000x1.085867x1.085867x1.09x18.491%18.5%20.079%20.1%22-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.062699x1.062699x1.06x27.123%27.1%28.824%28.8%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.044660x1.044660x1.04x13.476%13.5%14.078%14.1%24-1.000000x-1.000000x1.042924x1.042924x1.04x16.055%16.1%16.744%16.7%25-1.007703x-1.007703x1.01x1.000000x1.000000x16.425%16.4%16.300%16.3%26-1.033306x-1.033306x1.03x1.000000x1.000000x8.868%8.87%8.582%8.58%27-1.055556x-1.055556x1.06x1.000000x1.000000x11.728%11.7%11.111%11.1%28-1.059899x-1.059899x1.06x1.000000x1.000000x13.083%13.1%12.344%12.3%29-1.066667x-1.066667x1.07x1.000000x1.000000x8.889%8.89%8.333%8.33%30-1.076039x-1.076039x1.08x1.000000x1.000000x11.051%11.1%10.270%10.3%31-1.091511x-1.091511x1.09x1.000000x1.000000x15.611%15.6%14.302%14.3%32-1.113787x-1.113787x1.11x1.000000x1.000000x10.669%10.7%9.579%9.58%33-1.127778x-1.127778x1.13x1.000000x1.000000x11.667%11.7%10.345%10.3%34-1.149681x-1.149681x1.15x1.000000x1.000000x14.055%14.1%12.225%12.2%35-1.168276x-1.168276x1.17x1.000000x1.000000x12.641%12.6%10.820%10.8%36-1.199902x-1.199902x1.20x1.000000x1.000000x14.391%14.4%11.994%12.0%-1.203628x-1.203628x1.20x1.000000x1.000000x15.313%15.3%12.722%12.7%37-1.221446x-1.221446x1.22x1.000000x1.000000x12.716%12.7%10.411%10.4%-1.304227x-1.304227x1.30x1.000000x1.000000x10.726%10.7%8.224%8.22%38-1.371429x-1.371429x1.37x1.000000x1.000000x14.286%14.3%10.417%10.4%39-1.406298x-1.406298x1.41x1.000000x1.000000x14.009%14.0%9.961%9.96%-1.603803x-1.603803x1.60x1.000000x1.000000x10.935%10.9%6.818%6.82%40-1.605096x-1.605096x1.61x1.000000x1.000000x8.917%8.92%5.556%5.56%41-1.653960x-1.653960x1.65x1.000000x1.000000x19.949%19.9%12.061%12.1%42-1.689004x-1.689004x1.69x1.000000x1.000000x12.516%12.5%7.410%7.41%43-1.733333x-1.733333x1.73x1.000000x1.000000x16.000%16.0%9.231%9.23%44-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%45-1.759310x-1.759310x1.76x1.000000x1.000000x25.854%25.9%14.695%14.7%46-2.264808x-2.264808x2.26x1.000000x1.000000x16.630%16.6%7.343%7.34%47-2.355882x-2.355882x2.36x1.000000x1.000000x5.294%5.29%2.247%2.25%48-2.600000x-2.600000x2.60x1.000000x1.000000x13.333%13.3%5.128%5.13%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in the Somerset Area, and entities that contain Berlin
Female
Male
10x5x0x5x10xFM#SummitBrothersvalleyMilfordSalisburyMiddlecreekBlackAlleghenyHooversvilleOgle TownshipStoystownShanksvilleNew CentervilleTract 021400BerlinBerlinBerlin BrothersvalleyCentral CityZIP 15530JeffersonStonycreekElk LickSomersetMeyersdalePaintAddisonWindberIndian LakeGreenvillePennsylvaniaSomerset AreaSomersetUnited StatesMiddle AtlanticNortheastConemaughJennerNorthamptonSomersetLincolnShadeJennerstownUpper TurkeyfootQuemahoningBoswellPaintRockwoodSouthamptonLarimerWellersburg-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.915%0.92%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.025%1.03%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.758%0.76%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.987%0.99%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.617%0.62%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.694%0.69%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.351%1.35%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.395%1.40%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.667%1.67%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.778%2.78%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.740%2.74%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.083%2.08%12-1.000000x-1.000000x9.248715x9.248715x9.25x0.188%0.19%1.735%1.74%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%13-1.000000x-1.000000x6.722581x6.722581x6.72x0.240%0.24%1.613%1.61%-1.000000x-1.000000x6.016216x6.016216x6.02x0.809%0.81%4.865%4.86%14-1.000000x-1.000000x5.182369x5.182369x5.18x0.422%0.42%2.186%2.19%-1.000000x-1.000000x4.420699x4.420699x4.42x0.593%0.59%2.621%2.62%15-1.000000x-1.000000x3.724179x3.724179x3.72x1.065%1.07%3.967%3.97%16-1.000000x-1.000000x3.480882x3.480882x3.48x0.253%0.25%0.882%0.88%17-1.000000x-1.000000x2.739166x2.739166x2.74x1.737%1.74%4.757%4.76%18-1.000000x-1.000000x2.669084x2.669084x2.67x0.515%0.51%1.374%1.37%19-1.000000x-1.000000x2.628205x2.628205x2.63x0.665%0.67%1.748%1.75%20-1.000000x-1.000000x2.586207x2.586207x2.59x1.111%1.11%2.874%2.87%21-1.000000x-1.000000x2.299281x2.299281x2.30x0.814%0.81%1.871%1.87%22-1.000000x-1.000000x2.228464x2.228464x2.23x3.529%3.53%7.865%7.87%23-1.000000x-1.000000x1.823789x1.823789x1.82x0.966%0.97%1.762%1.76%24-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-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-1.000000x1.447058x1.447058x1.45x2.290%2.29%3.313%3.31%25-1.000000x-1.000000x1.114117x1.114117x1.11x0.707%0.71%0.788%0.79%26-1.009009x-1.009009x1.01x1.000000x1.000000x1.802%1.80%1.786%1.79%27-1.245208x-1.245208x1.25x1.000000x1.000000x1.463%1.46%1.175%1.17%28-1.769811x-1.769811x1.77x1.000000x1.000000x2.642%2.64%1.493%1.49%29-1.889479x-1.889479x1.89x1.000000x1.000000x0.744%0.74%0.394%0.39%30-1.923810x-1.923810x1.92x1.000000x1.000000x0.952%0.95%0.495%0.50%31-2.170000x-2.170000x2.17x1.000000x1.000000x1.500%1.50%0.691%0.69%32-2.203081x-2.203081x2.20x1.000000x1.000000x1.541%1.54%0.699%0.70%33-2.387727x-2.387727x2.39x1.000000x1.000000x1.674%1.67%0.701%0.70%34-2.650844x-2.650844x2.65x1.000000x1.000000x2.788%2.79%1.052%1.05%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.350%0.35%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.976%0.98%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.596%1.60%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.222%2.22%0.000%0%39
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 39 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

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

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Berlin, selected other county subdivisions in Pennsylvania, and entities that contain Berlin
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonZIP Code 15530ZIP 15530United States of AmericaUnited StatesErieSomerset Metro AreaSomerset AreaSomerset CountySomersetWilliamsportBethlehemBerlinBerlinMiddle AtlanticBristol TownshipBristol021400Tract 021400NortheastBerlin Brothersvalley School DistrictBerlin BrothersvalleyAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%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%7,5541013.199046%13.199046%13.2%49813.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.857471%12.857471%12.9%7,27012.857471%12.857471%12.9%7,27012.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.381597%12.381597%12.4%18312.381597%12.381597%12.4%18312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031412.012678%12.012678%12.0%37911.614335%11.614335%11.6%4,487,0854.49M11.573850%11.573850%11.6%47810.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260246.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Berlin, selected other county subdivisions in Pennsylvania, and entities that contain Berlin
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreSomerset Metro AreaSomerset AreaSomerset CountySomersetAllentownBerlinBerlinBristol TownshipBristolZIP Code 15530ZIP 15530021400Tract 021400Berlin Brothersvalley School DistrictBerlin BrothersvalleyYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%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%4,0444515.466105%15.466105%15.5%8,74515.466105%15.466105%15.5%8,74515.372023%15.372023%15.4%11,26811.3k4614.952639%14.952639%15.0%22114.952639%14.952639%15.0%22114.443730%14.443730%14.4%5,3934713.941161%13.941161%13.9%52613.565769%13.565769%13.6%42813.244552%13.244552%13.2%54711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Berlin, selected other county subdivisions in Pennsylvania, and entities that contain Berlin
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumSomerset Metro AreaSomerset AreaSomerset CountySomersetBerlinBerlinNorristownZIP Code 15530ZIP 15530Falls TownshipFallsRidley TownshipRidley021400Tract 021400Wilkes-BarreBerlin Brothersvalley School DistrictBerlin BrothersvalleyAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.432538%1.432538%1.4%8101.432538%1.432538%1.4%8101.420839%1.420839%1.4%211.420839%1.420839%1.4%211.383231%1.383231%1.4%309421.298701%1.298701%1.3%491.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.950872%0.950872%1.0%300.940792%0.940792%0.9%242450.920097%0.920097%0.9%380.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in Pennsylvania, and entities that contain Berlin
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonCheltenhamFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordSomerset AreaSomersetNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterZIP 15530HampdenBerlin BrothersvalleyMcCandlessN HuntingdonRoss TownshipTract 021400NorthamptonYork TownshipState CollegeBerlinBerlinTredyffrinCranberry-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-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-1.000000x-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-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-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.199902x-1.199902x1.20x1.000000x1.000000x14.391%14.4%11.994%12.0%-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%42-1.221446x-1.221446x1.22x1.000000x1.000000x12.716%12.7%10.411%10.4%-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%45-1.406298x-1.406298x1.41x1.000000x1.000000x14.009%14.0%9.961%9.96%-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%48-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in Pennsylvania, and entities that contain Berlin
Female
Male
0x2x4x6x8xFM#Tract 021400BerlinBerlinBerlin BrothersvalleyZIP 15530FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordManheimMonroevilleSomerset AreaSomersetUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x9.248715x9.248715x9.25x0.188%0.19%1.735%1.74%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%-1.000000x-1.000000x6.722581x6.722581x6.72x0.240%0.24%1.613%1.61%-1.000000x-1.000000x5.182369x5.182369x5.18x0.422%0.42%2.186%2.19%-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-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.591202x1.591202x1.59x6.501%6.50%10.344%10.3%31-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%34-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%35-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%36-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%37-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%39-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%40-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%41-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%42-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%43-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Berlin, selected other county subdivisions in the Northeast, and entities that contain Berlin
0%10%20%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityZIP Code 15530ZIP 15530United States of AmericaUnited StatesManhattanErieSomerset Metro AreaSomerset AreaSomerset CountySomersetManchesterBerlinBerlinTown of BabylonBabylonMiddle Atlantic021400Tract 021400NortheastBerlin Brothersvalley School DistrictBerlin BrothersvalleyStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of 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%25,82725.8k2813.199046%13.199046%13.2%49813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.857471%12.857471%12.9%7,27012.857471%12.857471%12.9%7,27012.589518%12.589518%12.6%9,6163112.381597%12.381597%12.4%18312.381597%12.381597%12.4%18312.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M12.012678%12.012678%12.0%37911.614335%11.614335%11.6%4,487,0854.49M11.573850%11.573850%11.6%47811.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Berlin, selected other county subdivisions in the Northeast, and entities that contain Berlin
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordSomerset Metro AreaSomerset AreaSomerset CountySomersetAllentownTown of WaterburyWaterburyBerlinBerlinZIP Code 15530ZIP 15530Newark021400Tract 021400Berlin Brothersvalley School DistrictBerlin BrothersvalleyElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%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%10,23510.2k4515.466105%15.466105%15.5%8,74515.466105%15.466105%15.5%8,74515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4714.952639%14.952639%15.0%22114.952639%14.952639%15.0%22113.941161%13.941161%13.9%52613.654578%13.654578%13.7%24,29624.3k4813.565769%13.565769%13.6%42813.244552%13.244552%13.2%54711.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Berlin, selected other county subdivisions in the Northeast, and entities that contain Berlin
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldSomerset Metro AreaSomerset AreaSomerset CountySomersetBerlinBerlinZIP Code 15530ZIP 15530LynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrockton021400Tract 021400Berlin Brothersvalley School DistrictBerlin BrothersvalleyPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%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%1,401431.432538%1.432538%1.4%8101.432538%1.432538%1.4%8101.420839%1.420839%1.4%211.420839%1.420839%1.4%211.298701%1.298701%1.3%491.189570%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%636490.950872%0.950872%1.0%300.920097%0.920097%0.9%380.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in the Northeast, and entities that contain Berlin
Female
Male
1x0x1xFM#StamfordGreenburghSpringfieldNewarkSomerset AreaSomersetGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstZIP 15530Berlin BrothersvalleyCambridgeEdisonTract 021400BerlinBerlin-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-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-1.000000x-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-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-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.199902x-1.199902x1.20x1.000000x1.000000x14.391%14.4%11.994%12.0%-1.221446x-1.221446x1.22x1.000000x1.000000x12.716%12.7%10.411%10.4%-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%50-1.406298x-1.406298x1.41x1.000000x1.000000x14.009%14.0%9.961%9.96%-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in the Northeast, and entities that contain Berlin
Female
Male
0x2x4x6x8xFM#Tract 021400BerlinBerlinBerlin BrothersvalleyZIP 15530LakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSomerset AreaSomersetSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x9.248715x9.248715x9.25x0.188%0.19%1.735%1.74%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%-1.000000x-1.000000x6.722581x6.722581x6.72x0.240%0.24%1.613%1.61%-1.000000x-1.000000x5.182369x5.182369x5.18x0.422%0.42%2.186%2.19%-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-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Berlin, selected other county subdivisions in the United States, and entities that contain Berlin
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 VegasPhoenixBostonSacramentoOrlandoAustinDenverZIP Code 15530ZIP 15530United States of AmericaUnited StatesManhattanSan DiegoTampaSomerset Metro AreaSomerset AreaSomerset CountySomersetSan JoseSan FranciscoBerlinBerlinMiddle AtlanticTucsonAlbuquerque021400Tract 021400NortheastBerlin Brothersvalley School DistrictBerlin BrothersvalleyTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%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%63,86563.9k3113.199046%13.199046%13.2%49813.020590%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%57,75857.8k3412.857471%12.857471%12.9%7,27012.857471%12.857471%12.9%7,27012.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.381597%12.381597%12.4%18312.381597%12.381597%12.4%18312.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3812.012678%12.012678%12.0%37911.614335%11.614335%11.6%4,487,0854.49M11.573850%11.573850%11.6%47811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Berlin, selected other county subdivisions in the United States, and entities that contain Berlin
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSomerset Metro AreaSomerset AreaSomerset CountySomersetBerlinBerlinSan Antonio CentralSan Antonio CntrlZIP Code 15530ZIP 15530Detroit021400Tract 021400Berlin Brothersvalley School DistrictBerlin Brothersvalley60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%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%80,59580.6k4815.466105%15.466105%15.5%8,74515.466105%15.466105%15.5%8,74514.952639%14.952639%15.0%22114.952639%14.952639%15.0%22114.929012%14.929012%14.9%65,34165.3k4913.941161%13.941161%13.9%52613.833543%13.833543%13.8%59,72359.7k5013.565769%13.565769%13.6%42813.244552%13.244552%13.2%547
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Berlin, selected other county subdivisions in the United States, and entities that contain Berlin
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxSomerset Metro AreaSomerset AreaSomerset CountySomersetBerlinBerlinDetroitZIP Code 15530ZIP 15530021400Tract 021400Berlin Brothersvalley School DistrictBerlin Brothersvalley12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%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%15,06415.1k491.432538%1.432538%1.4%8101.432538%1.432538%1.4%8101.420839%1.420839%1.4%211.420839%1.420839%1.4%211.318660%1.318660%1.3%5,693501.298701%1.298701%1.3%490.950872%0.950872%1.0%300.920097%0.920097%0.9%38
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in the United States, and entities that contain Berlin
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasSomerset AreaSomersetFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoZIP 15530Berlin BrothersvalleySan FranciscoEl PasoTract 021400BerlinBerlin-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-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-1.000000x-1.000000x1.159106x1.159106x1.16x11.879%11.9%13.769%13.8%-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-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.199902x-1.199902x1.20x1.000000x1.000000x14.391%14.4%11.994%12.0%-1.221446x-1.221446x1.22x1.000000x1.000000x12.716%12.7%10.411%10.4%-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%50-1.406298x-1.406298x1.41x1.000000x1.000000x14.009%14.0%9.961%9.96%-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%-1.737375x-1.737375x1.74x1.000000x1.000000x15.375%15.4%8.850%8.85%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Berlin, selected other county subdivisions in the United States, and entities that contain Berlin
Female
Male
0x2x4x6x8xFM#Tract 021400BerlinBerlinBerlin BrothersvalleyZIP 15530El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastSomerset AreaSomersetSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x9.248715x9.248715x9.25x0.188%0.19%1.735%1.74%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%-1.000000x-1.000000x7.079646x7.079646x7.08x0.375%0.38%2.655%2.65%-1.000000x-1.000000x6.722581x6.722581x6.72x0.240%0.24%1.613%1.61%-1.000000x-1.000000x5.182369x5.182369x5.18x0.422%0.42%2.186%2.19%-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-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-1.000000x-1.000000x1.541243x1.541243x1.54x1.119%1.12%1.724%1.72%-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Somerset
Metro Area:
Somerset Area
Borough:
Berlin
ZIP Code:
15530
Unified School District:
Berlin Brothersvalley
Congressional District:
PA-9
State Senate District:
PA-32
State House District:
PA-69
Neighboring Townships:
Brothersvalley
Nearby Townships:
Allegheny, Northampton, Somerset, Stonycreek, Summit