Educational Attainment in Denver, Lancaster County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Lancaster County and Denver
Denver
Lancaster County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma231.549610%32.703155%31.549610%31.5%84956.967670%51.897731%56.967670%57.0%1,53311.482720%15.399115%11.482720%11.5%309
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 Lancaster County at large.
Scope: population of Lancaster County and Denver
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-3.527321%-3.527321%-3.5%31.550%31.5%32.703%32.7%9.769097%9.769097%+9.8%56.968%57.0%51.898%51.9%-25.432595%-25.432595%-25.4%11.483%11.5%15.399%15.4%
% percentage with given level in Denver
ref. percentage with given level in Lancaster 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 Lancaster County and Denver
Denver
Lancaster County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.915922%01.226310%1.395328%1.226310%1.2%335.722780%6.683747%5.722780%5.7%15414.715719%16.655333%14.715719%14.7%3969.884801%7.052825%9.884801%9.9%26613.117800%14.545552%13.117800%13.1%35343.849870%37.352178%43.849870%43.8%1,1808.955779%8.454078%8.955779%9.0%2412.155333%5.655804%2.155333%2.2%580.371609%1.289232%0.371609%0.4%10
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 Lancaster County at large.
Scope: population of Lancaster County and Denver
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.916%0.92%-12.113133%-12.113133%-12.1%1.226%1.23%1.395%1.40%-14.377678%-14.377678%-14.4%5.723%5.72%6.684%6.68%-11.645602%-11.645602%-11.6%14.716%14.7%16.655%16.7%40.153786%40.153786%+40.2%9.885%9.88%7.053%7.05%-9.815729%-9.815729%-9.8%13.118%13.1%14.546%14.5%17.395750%17.395750%+17.4%43.850%43.8%37.352%37.4%5.934416%5.934416%+5.9%8.956%8.96%8.454%8.45%-61.891668%-61.891668%-61.9%2.155%2.16%5.656%5.66%-71.175938%-71.175938%-71.2%0.372%0.37%1.289%1.29%
% percentage with given level in Denver
ref. percentage with given level in Lancaster 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 Lancaster County and Denver
More Females More Males
Lancaster County
Denver
10%0%10%20%30%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-4.106539%30.927349%30.927349%31%27.468%27.5%35.963%36.0%-17.564139%-0.592604%-17.564139%18%61.373%61.4%52.204%52.2%6.041406%11.089583%6.041406%6%11.159%11.2%11.833%11.8%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Lancaster County and Denver
More Females More Males
Lancaster County
Denver
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%46.062643%1,000.000000%> 1000%0.000%0%2.552%2.55%-12.657218%26.394562%26.394562%0k%5.079%5.08%6.419%6.42%9.218321%0.300884%9.218321%0k%14.092%14.1%15.391%15.4%-25.456700%39.811185%39.811185%0k%8.298%8.30%11.601%11.6%-9.045992%-4.251680%-9.045992%0k%13.662%13.7%12.529%12.5%-20.254081%-20.254081%0k%0.802061%47.711%47.7%39.675%39.7%7.227091%13.472439%7.227091%0k%8.655%8.66%9.281%9.28%42.719258%7.452613%42.719258%0k%1.788%1.79%2.552%2.55%-1,000.000000%-1,000.000000%> 1000%11.858414%0.715%0.72%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 Lancaster County and Denver
Denver
Lancaster County
0%5%10%15%20%B.X.Total65+45-6435-4425-347.704918%12.662300%7.704918%7.7%4761012.362911%15.274253%12.362911%12.4%1241,00320.930233%20.256582%20.930233%20.9%12660220.798319%21.417524%20.798319%20.8%99476
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 Lancaster County at large.
Scope: population of Lancaster County and Denver
30%20%10%0%%ref.65+45-6435-4425-34-39.150725%-39.150725%39.2%7.705%7.70%12.662%12.7%-19.060453%-19.060453%19.1%12.363%12.4%15.274%15.3%3.325587%3.325587%3.3%20.930%20.9%20.257%20.3%-2.891113%-2.891113%2.9%20.798%20.8%21.418%21.4%
% percentage in Denver with a Bachelor's degree
ref percentage in Lancaster 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 Lancaster County and Denver
More Females More Males
Lancaster County
Denver
0%200%400%FM65+45-6435-4425-34574.121094%26.823530%574.121094%574.1%2.260%2.26%15.234%15.2%39.003673%4.164675%39.003673%39.0%10.405%10.4%14.463%14.5%-10.638298%-12.832165%-10.638298%10.6%21.884%21.9%19.780%19.8%-150.000000%-20.410794%-150.000000%150.0%32.143%32.1%12.857%12.9%
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 Lancaster County and Denver
Denver
Lancaster County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$77,768.000000$64,159.000000$77,768.000000$77.8k1876.949%6.95%$46,853.000000$48,138.000000$46,853.000000$46.9k39614.716%14.7%$34,306.000000$35,034.000000$34,306.000000$34.3k61923.003%23.0%$26,106.000000$31,368.000000$26,106.000000$26.1k1,18043.850%43.8%$33,750.000000$27,018.000000$33,750.000000$33.8k30911.483%11.5%$36,759.000000$36,634.000000$36,759.000000$36.8k2,691100.000%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 Lancaster County and Denver
Female Male
Lancaster County
Denver
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-59,886.000000$-56,610.000000$-59,886.000000$59.9k$59,886.000000$24,072.000000$56,610.000000$17,710.000000$83,958.000000$84.0k71116$-46,354.000000$-39,421.000000$-46,354.000000$46.4k$46,354.000000$14,146.000000$39,421.000000$20,609.000000$60,500.000000$60.5k197199$-28,958.000000$-28,439.000000$-28,958.000000$29.0k$28,958.000000$21,287.000000$28,439.000000$15,321.000000$50,245.000000$50.2k307312$-16,650.000000$-23,179.000000$-16,650.000000$16.7k$16,650.000000$25,309.000000$23,179.000000$17,988.000000$41,959.000000$42.0k667513$-28,750.000000$-15,421.000000$-28,750.000000$28.8k$28,750.000000$24,667.000000$15,421.000000$19,191.000000$53,417.000000$53.4k156153$-23,692.000000$-27,795.000000$-23,692.000000$23.7k$23,692.000000$24,472.000000$27,795.000000$17,819.000000$48,164.000000$48.2k1,3981,293
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 Lancaster County and Denver
Denver
Lancaster County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.601578%86.604647%85.601578%85.6%43488.117002%79.916042%88.117002%88.1%48278.492239%75.603264%78.492239%78.5%70868.000000%60.718291%68.000000%68.0%85
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 Lancaster County and Denver
Female Male
Lancaster County
Denver
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackHispanic2Other1-10.831426%-13.014189%-10.831426%10.8%10.831426%1.189034%13.014189%1.704311%12.020460%12.0%141142-0.000000%-18.160714%0.000000%0.0%0.000000%35.294118%18.160714%0.303049%35.294118%35.3%60-8.450704%-13.087757%-29.518836%-21.538462%21.5%8.450704%29.518836%1.383379%8.450704%8.5%614-18.750000%-3.125000%-30.624453%-21.875000%21.9%18.750000%30.624453%0.322283%18.750000%18.8%67
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 Lancaster County and Denver
Female Male
Lancaster County
Denver
Shaded bar tips show excess over facing bar.
40%30%20%10%0%10%20%MFWhite1BlackHispanic2Other1-19.450801%-26.735007%-19.450801%19.5%19.450801%6.891910%26.735007%0.838262%26.342711%26.3%309255-0.000000%-15.125000%0.000000%0.0%0.000000%0.000000%15.125000%0.157018%0.000000%0.0%00-0.000000%-20.000000%-6.845720%-5.694377%-20.000000%20.0%0.000000%6.845720%0.000000%0.0%013-0.000000%-40.625000%-7.444286%-5.920172%-40.625000%40.6%0.000000%7.444286%0.000000%0.0%013
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 Lancaster Area

There are 60 county subdivisions in the Lancaster Area. This section compares Denver to the 50 most populous county subdivisions in the Lancaster Area and to those entities that contain or substantially overlap with Denver. The least populous of the compared county subdivisions has a population of 3,249.

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 Denver, selected other county subdivisions in the Lancaster Area, and entities that contain Denver
0%10%20%30%40%Count#Bart TownshipLeacock TownshipLeacockEarl TownshipEast Earl TownshipE EarlParadise TownshipParadiseSadsbury TownshipSadsburySalisbury TownshipSalisburyColerain TownshipColerainCaernarvon TownshipCaernarvonWest Earl TownshipW EarlUpper Leacock TownshipUpper LeacockLancasterClay TownshipStrasburg TownshipStrasburgBrecknock TownshipBrecknockWest Cocalico TownshipW CocalicoElizabeth TownshipElizabethEphrata TownshipEphrataEast Drumore TownshipE DrumoreEast Lampeter TownshipE LampeterZIP Code 17517ZIP 17517ColumbiaCocalico School DistrictCocalicoMartic TownshipMarticEast Cocalico TownshipE CocalicoLancaster Metro AreaLancasterLancaster CountyLancasterProvidence TownshipProvidenceRapho TownshipRaphoEphrataLancaster TownshipLancasterUnited States of AmericaUnited StatesMiddle AtlanticConoy TownshipConoyAkronNortheastDenver010102Tract 010102DenverNew HollandPenn TownshipLittle Britain TownshipLittle BritainPennsylvaniaConestoga TownshipConestogaMillersvilleManor TownshipMnrPequea TownshipPequeaManheim TownshipManheimElizabethtownMount JoyWarwick TownshipWarwickWest Donegal TownshipW DonegalWest Hempfield TownshipW HempfieldManheimWest Lampeter TownshipW LampeterLititzMount Joy TownshipMt JoyEast Donegal TownshipE DonegalEast PetersburgE PetersburgEast Hempfield TownshipE Hempfield47.233547%47.233547%47.2%811141.972187%41.972187%42.0%1,328238.357050%38.357050%38.4%1,779337.845374%37.845374%37.8%1,493437.745740%37.745740%37.7%1,152537.271751%37.271751%37.3%694636.259254%36.259254%36.3%2,400735.242291%35.242291%35.2%720832.331353%32.331353%32.3%925930.980392%30.980392%31.0%1,5801024.704169%24.704169%24.7%1,3571124.307408%24.307408%24.3%8,9321223.208903%23.208903%23.2%1,0011323.017487%23.017487%23.0%5661422.337554%22.337554%22.3%1,0761520.202446%20.202446%20.2%9581619.861698%19.861698%19.9%5171719.351526%19.351526%19.4%1,3191819.310867%19.310867%19.3%5101917.939266%17.939266%17.9%2,0442016.603389%16.603389%16.6%1,79316.310845%16.310845%16.3%1,1462115.968763%15.968763%16.0%2,59715.788021%15.788021%15.8%5722215.702145%15.702145%15.7%1,1642315.399115%15.399115%15.4%54,57454.6k15.399115%15.399115%15.4%54,57454.6k14.716833%14.716833%14.7%7512414.649294%14.649294%14.6%1,2032514.441126%14.441126%14.4%1,3542613.254862%13.254862%13.3%1,5542713.020590%13.020590%13.0%27,818,38027.8M12.313400%12.313400%12.3%3,505,1913.51M12.127660%12.127660%12.1%2852811.918909%11.918909%11.9%3412911.614335%11.614335%11.6%4,487,0854.49M11.482720%11.482720%11.5%30911.482720%11.482720%11.5%30911.482720%11.482720%11.5%3093011.267996%11.267996%11.3%4073111.157666%11.157666%11.2%7193210.848348%10.848348%10.8%2893310.459911%10.459911%10.5%925,686926k9.467456%9.467456%9.5%256348.588298%8.588298%8.6%320358.567033%8.567033%8.6%1,225368.343266%8.343266%8.3%280378.116386%8.116386%8.1%2,279388.107328%8.107328%8.1%562398.094714%8.094714%8.1%441408.038819%8.038819%8.0%994417.786307%7.786307%7.8%497427.601134%7.601134%7.6%885437.573463%7.573463%7.6%250446.826317%6.826317%6.8%801456.513802%6.513802%6.5%446466.139980%6.139980%6.1%436475.695719%5.695719%5.7%298485.101731%5.101731%5.1%168495.016663%5.016663%5.0%84350
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 Denver, selected other county subdivisions in the Lancaster Area, and entities that contain Denver
0%10%20%30%40%Count#Manheim TownshipManheimEast Hempfield TownshipE HempfieldNortheastMillersvilleWest Lampeter TownshipW LampeterLititzMiddle AtlanticWarwick TownshipWarwickWest Donegal TownshipW DonegalUnited States of AmericaUnited StatesPennsylvaniaEast PetersburgE PetersburgElizabethtownLancaster TownshipLancasterConestoga TownshipConestogaWest Hempfield TownshipW HempfieldMount Joy TownshipMt JoyManor TownshipMnrPenn TownshipEast Donegal TownshipE DonegalEast Lampeter TownshipE LampeterAkronLancaster Metro AreaLancasterLancaster CountyLancasterWest Earl TownshipW EarlMount JoyRapho TownshipRaphoPequea TownshipPequeaEast Cocalico TownshipE CocalicoDenver010102Tract 010102DenverNew HollandUpper Leacock TownshipUpper LeacockElizabeth TownshipElizabethEphrataZIP Code 17517ZIP 17517Ephrata TownshipEphrataStrasburg TownshipStrasburgClay TownshipCocalico School DistrictCocalicoLancasterLittle Britain TownshipLittle BritainSadsbury TownshipSadsburyColerain TownshipColerainConoy TownshipConoyBrecknock TownshipBrecknockManheimEast Drumore TownshipE DrumoreCaernarvon TownshipCaernarvonWest Cocalico TownshipW CocalicoLeacock TownshipLeacockEarl TownshipMartic TownshipMarticProvidence TownshipProvidenceColumbiaSalisbury TownshipSalisburyEast Earl TownshipE EarlBart TownshipParadise TownshipParadise45.621283%45.621283%45.6%12,81012.8k144.417996%44.417996%44.4%7,464234.780899%34.780899%34.8%13,437,26113.4M34.541063%34.541063%34.5%1,287334.472473%34.472473%34.5%4,045434.306996%34.306996%34.3%2,349533.644618%33.644618%33.6%9,577,4379.58M33.174282%33.174282%33.2%4,102631.818894%31.818894%31.8%2,031730.315023%30.315023%30.3%64,767,78764.8M29.333279%29.333279%29.3%2,595,9502.60M29.152748%29.152748%29.2%960827.784189%27.784189%27.8%1,926927.558854%27.558854%27.6%3,2311027.329882%27.329882%27.3%7391127.312548%27.312548%27.3%3,1801227.277848%27.277848%27.3%1,9371327.274635%27.274635%27.3%3,9001426.769088%26.769088%26.8%1,7251526.605505%26.605505%26.6%1,3921625.838160%25.838160%25.8%2,9441725.655365%25.655365%25.7%7341825.650330%25.650330%25.7%90,90490.9k25.650330%25.650330%25.7%90,90490.9k24.843137%24.843137%24.8%1,2671924.229075%24.229075%24.2%1,3202024.013639%24.013639%24.0%1,9722121.901073%21.901073%21.9%7352221.705113%21.705113%21.7%1,6092321.664809%21.664809%21.7%58321.664809%21.664809%21.7%58321.664809%21.664809%21.7%5832421.400886%21.400886%21.4%7732521.263426%21.263426%21.3%1,1682621.091049%21.091049%21.1%5492720.989761%20.989761%21.0%1,9682820.872303%20.872303%20.9%2,25420.774648%20.774648%20.8%1,4162920.658804%20.658804%20.7%5083020.426617%20.426617%20.4%8813120.260715%20.260715%20.3%3,29519.838894%19.838894%19.8%7,2903218.093093%18.093093%18.1%4823317.830290%17.830290%17.8%3323417.523250%17.523250%17.5%3583517.234043%17.234043%17.2%4053616.732406%16.732406%16.7%8063716.691912%16.691912%16.7%5513815.751609%15.751609%15.8%4163915.274380%15.274380%15.3%4374014.867145%14.867145%14.9%7054114.222503%14.222503%14.2%4504214.187150%14.187150%14.2%6584312.972675%12.972675%13.0%4704412.776798%12.776798%12.8%6524512.282949%12.282949%12.3%8634612.161958%12.161958%12.2%805479.581749%9.581749%9.6%378489.493302%9.493302%9.5%163499.174312%9.174312%9.2%28050
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 Denver, selected other county subdivisions in the Lancaster Area, and entities that contain Denver
0%1%2%3%4%5%6%Count#Manheim TownshipManheimEast Hempfield TownshipE HempfieldMillersvilleNortheastMiddle AtlanticUpper Leacock TownshipUpper LeacockElizabethtownUnited States of AmericaUnited StatesPennsylvaniaLancaster TownshipLancasterWest Lampeter TownshipW LampeterEast PetersburgE PetersburgWest Donegal TownshipW DonegalEast Drumore TownshipE DrumoreProvidence TownshipProvidenceLancasterSadsbury TownshipSadsburyLancaster Metro AreaLancasterLancaster CountyLancasterCaernarvon TownshipCaernarvonElizabeth TownshipElizabethMount Joy TownshipMt JoyLititzRapho TownshipRaphoWarwick TownshipWarwickPenn TownshipMount JoyConestoga TownshipConestogaEphrataWest Hempfield TownshipW HempfieldClay TownshipConoy TownshipConoyManor TownshipMnrEphrata TownshipEphrataAkronZIP Code 17517ZIP 17517Strasburg TownshipStrasburgWest Earl TownshipW EarlDenver010102Tract 010102DenverEast Lampeter TownshipE LampeterBrecknock TownshipBrecknockColumbiaPequea TownshipPequeaCocalico School DistrictCocalicoWest Cocalico TownshipW CocalicoColerain TownshipColerainEast Earl TownshipE EarlEast Cocalico TownshipE CocalicoLittle Britain TownshipLittle BritainParadise TownshipParadiseMartic TownshipMarticBart TownshipManheimEast Donegal TownshipE DonegalSalisbury TownshipSalisburyEarl TownshipNew HollandLeacock TownshipLeacock6.114890%6.114890%6.1%1,71715.272554%5.272554%5.3%88625.206656%5.206656%5.2%19434.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.713818%3.713818%3.7%20443.620889%3.620889%3.6%25153.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.198567%3.198567%3.2%37563.161752%3.161752%3.2%37173.067112%3.067112%3.1%10182.945324%2.945324%2.9%18892.650511%2.650511%2.7%70102.547521%2.547521%2.5%130112.514559%2.514559%2.5%924122.416756%2.416756%2.4%45132.311250%2.311250%2.3%8,1912.311250%2.311250%2.3%8,1912.271933%2.271933%2.3%65142.228198%2.228198%2.2%58152.013801%2.013801%2.0%143162.000876%2.000876%2.0%137171.997077%1.997077%2.0%164181.908613%1.908613%1.9%236191.815642%1.815642%1.8%117201.743759%1.743759%1.7%95211.701183%1.701183%1.7%46221.599829%1.599829%1.6%150231.597526%1.597526%1.6%186241.530257%1.530257%1.5%66251.446809%1.446809%1.4%34261.433667%1.433667%1.4%205271.423122%1.423122%1.4%97281.363160%1.363160%1.4%39291.314937%1.314937%1.3%1421.301342%1.301342%1.3%32301.235294%1.235294%1.2%63311.226310%1.226310%1.2%331.226310%1.226310%1.2%331.226310%1.226310%1.2%33321.202387%1.202387%1.2%137331.183309%1.183309%1.2%57341.110162%1.110162%1.1%78351.102503%1.102503%1.1%37361.002275%1.002275%1.0%1630.948967%0.948967%0.9%45370.930005%0.930005%0.9%19380.760456%0.760456%0.8%30390.728450%0.728450%0.7%54400.638138%0.638138%0.6%17410.589777%0.589777%0.6%18420.524427%0.524427%0.5%19430.465929%0.465929%0.5%8440.424114%0.424114%0.4%14450.286697%0.286697%0.3%15460.151080%0.151080%0.2%10470.000000%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 Denver, selected other county subdivisions in the Lancaster Area, and entities that contain Denver
Female
Male
1x0x1x2x3xFM#PequeaW HempfieldMt JoyConestogaE PetersburgLittle BritainNew HollandConoyAkronE DonegalMillersvilleW CocalicoWarwickColumbiaZIP 17517BrecknockStrasburgClay TownshipCocalicoEarl TownshipRaphoElizabethColerainManheimProvidenceLancasterLancasterSadsburyUnited StatesE HempfieldSalisburyPennsylvaniaE EarlNortheastBart TownshipLancasterDenverTract 010102DenverMiddle AtlanticE CocalicoParadiseLeacockPenn TownshipCaernarvonEphrataE DrumoreE LampeterW LampeterMarticMnrMount JoyW DonegalEphrataW EarlLancasterManheimUpper LeacockElizabethtownLititz-1.000000x-1.000000x3.107917x3.107917x3.11x4.039%4.04%12.552%12.6%1-1.000000x-1.000000x2.785349x2.785349x2.79x4.144%4.14%11.542%11.5%2-1.000000x-1.000000x2.523499x2.523499x2.52x3.538%3.54%8.929%8.93%3-1.000000x-1.000000x2.451852x2.451852x2.45x5.438%5.44%13.333%13.3%4-1.000000x-1.000000x2.427139x2.427139x2.43x2.941%2.94%7.139%7.14%5-1.000000x-1.000000x2.403606x2.403606x2.40x6.377%6.38%15.327%15.3%6-1.000000x-1.000000x2.286315x2.286315x2.29x7.031%7.03%16.076%16.1%7-1.000000x-1.000000x1.917331x1.917331x1.92x8.361%8.36%16.031%16.0%8-1.000000x-1.000000x1.878951x1.878951x1.88x8.207%8.21%15.421%15.4%9-1.000000x-1.000000x1.688884x1.688884x1.69x4.246%4.25%7.170%7.17%10-1.000000x-1.000000x1.547092x1.547092x1.55x6.814%6.81%10.541%10.5%11-1.000000x-1.000000x1.509236x1.509236x1.51x16.211%16.2%24.466%24.5%12-1.000000x-1.000000x1.474877x1.474877x1.47x6.502%6.50%9.590%9.59%13-1.000000x-1.000000x1.427890x1.427890x1.43x13.611%13.6%19.435%19.4%14-1.000000x-1.000000x1.374162x1.374162x1.37x14.032%14.0%19.282%19.3%-1.000000x-1.000000x1.345260x1.345260x1.35x19.056%19.1%25.635%25.6%15-1.000000x-1.000000x1.304865x1.304865x1.30x19.882%19.9%25.943%25.9%16-1.000000x-1.000000x1.254031x1.254031x1.25x20.673%20.7%25.924%25.9%17-1.000000x-1.000000x1.229875x1.229875x1.23x14.372%14.4%17.676%17.7%-1.000000x-1.000000x1.225486x1.225486x1.23x34.596%34.6%42.397%42.4%18-1.000000x-1.000000x1.203191x1.203191x1.20x13.327%13.3%16.035%16.0%19-1.000000x-1.000000x1.177933x1.177933x1.18x18.196%18.2%21.434%21.4%20-1.000000x-1.000000x1.164497x1.164497x1.16x32.636%32.6%38.004%38.0%21-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%22-1.000000x-1.000000x1.124227x1.124227x1.12x13.896%13.9%15.622%15.6%23-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-1.000000x-1.000000x1.109120x1.109120x1.11x35.375%35.4%39.235%39.2%24-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.098911x1.098911x1.10x4.791%4.79%5.264%5.26%25-1.000000x-1.000000x1.097770x1.097770x1.10x34.665%34.7%38.054%38.1%26-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090833x1.090833x1.09x36.155%36.2%39.439%39.4%27-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.067770x1.067770x1.07x45.714%45.7%48.812%48.8%28-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%29-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%30-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.059070x1.059070x1.06x15.269%15.3%16.171%16.2%31-1.000000x-1.000000x1.057755x1.057755x1.06x36.730%36.7%38.851%38.9%32-1.000000x-1.000000x1.041759x1.041759x1.04x41.113%41.1%42.830%42.8%33-1.000000x-1.000000x1.000168x1.000168x1.00x11.157%11.2%11.159%11.2%34-1.055242x-1.055242x1.06x1.000000x1.000000x33.194%33.2%31.457%31.5%35-1.062422x-1.062422x1.06x1.000000x1.000000x19.886%19.9%18.718%18.7%36-1.076527x-1.076527x1.08x1.000000x1.000000x20.015%20.0%18.592%18.6%37-1.081611x-1.081611x1.08x1.000000x1.000000x18.631%18.6%17.225%17.2%38-1.088766x-1.088766x1.09x1.000000x1.000000x7.094%7.09%6.516%6.52%39-1.090622x-1.090622x1.09x1.000000x1.000000x16.438%16.4%15.072%15.1%40-1.100918x-1.100918x1.10x1.000000x1.000000x8.962%8.96%8.141%8.14%41-1.107738x-1.107738x1.11x1.000000x1.000000x8.488%8.49%7.663%7.66%42-1.155286x-1.155286x1.16x1.000000x1.000000x8.297%8.30%7.182%7.18%43-1.200685x-1.200685x1.20x1.000000x1.000000x15.772%15.8%13.136%13.1%44-1.296929x-1.296929x1.30x1.000000x1.000000x34.351%34.4%26.487%26.5%45-1.302922x-1.302922x1.30x1.000000x1.000000x14.846%14.8%11.395%11.4%46-1.329302x-1.329302x1.33x1.000000x1.000000x8.521%8.52%6.410%6.41%47-1.397082x-1.397082x1.40x1.000000x1.000000x28.673%28.7%20.523%20.5%48-1.502096x-1.502096x1.50x1.000000x1.000000x9.621%9.62%6.405%6.41%49-1.642780x-1.642780x1.64x1.000000x1.000000x7.828%7.83%4.765%4.77%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Denver, selected other county subdivisions in the Lancaster Area, and entities that contain Denver
Female
Male
10x5x0x5x10xFM#DenverTract 010102SalisburyE CocalicoBrecknockParadiseMarticManheimPequeaStrasburgDenverZIP 17517E DrumoreCocalicoUpper LeacockLititzWarwickMnrW LampeterW CocalicoE LampeterE HempfieldLancasterMt JoyEphrataW EarlW DonegalPennsylvaniaElizabethtownMount JoyManheimPenn TownshipLancasterLancasterUnited StatesMiddle AtlanticNortheastE EarlColerainMillersvilleAkronClay TownshipE PetersburgBart TownshipConoyW HempfieldRaphoProvidenceLancasterEphrataConestogaColumbiaSadsburyCaernarvonElizabethE DonegalLittle Britain-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.321%0.32%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.516%1.52%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.372%2.37%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.231%1.23%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.101%1.10%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.945%0.94%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.180%2.18%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.516%2.52%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%9-1.000000x-1.000000x6.352533x6.352533x6.35x0.363%0.36%2.306%2.31%-1.000000x-1.000000x6.123948x6.123948x6.12x0.750%0.75%4.591%4.59%10-1.000000x-1.000000x4.942339x4.942339x4.94x0.345%0.35%1.705%1.71%-1.000000x-1.000000x4.063338x4.063338x4.06x1.490%1.49%6.056%6.06%11-1.000000x-1.000000x3.595938x3.595938x3.60x0.947%0.95%3.404%3.40%12-1.000000x-1.000000x2.495085x2.495085x2.50x1.094%1.09%2.731%2.73%13-1.000000x-1.000000x2.431232x2.431232x2.43x0.849%0.85%2.064%2.06%14-1.000000x-1.000000x2.150025x2.150025x2.15x2.063%2.06%4.436%4.44%15-1.000000x-1.000000x2.136066x2.136066x2.14x0.612%0.61%1.308%1.31%16-1.000000x-1.000000x2.109336x2.109336x2.11x0.778%0.78%1.641%1.64%17-1.000000x-1.000000x1.977516x1.977516x1.98x3.596%3.60%7.111%7.11%18-1.000000x-1.000000x1.961749x1.961749x1.96x2.216%2.22%4.347%4.35%19-1.000000x-1.000000x1.933939x1.933939x1.93x1.388%1.39%2.685%2.68%20-1.000000x-1.000000x1.902640x1.902640x1.90x1.099%1.10%2.091%2.09%21-1.000000x-1.000000x1.897002x1.897002x1.90x0.892%0.89%1.693%1.69%22-1.000000x-1.000000x1.705318x1.705318x1.71x2.226%2.23%3.796%3.80%23-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.589332x1.589332x1.59x2.835%2.83%4.505%4.51%24-1.000000x-1.000000x1.576336x1.576336x1.58x1.368%1.37%2.156%2.16%25-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%26-1.000000x-1.000000x1.555857x1.555857x1.56x1.439%1.44%2.238%2.24%27-1.000000x-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-1.000000x-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-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-1.000000x1.413589x1.413589x1.41x0.627%0.63%0.886%0.89%28-1.000000x-1.000000x1.177195x1.177195x1.18x0.856%0.86%1.008%1.01%29-1.000000x-1.000000x1.170573x1.170573x1.17x4.816%4.82%5.637%5.64%30-1.000000x-1.000000x1.100883x1.100883x1.10x1.296%1.30%1.427%1.43%31-1.000000x-1.000000x1.070571x1.070571x1.07x1.480%1.48%1.584%1.58%32-1.000000x-1.000000x1.040978x1.040978x1.04x3.004%3.00%3.127%3.13%33-1.000000x-1.000000x1.039192x1.039192x1.04x0.457%0.46%0.475%0.48%34-1.000000x-1.000000x1.036395x1.036395x1.04x1.421%1.42%1.473%1.47%35-1.065290x-1.065290x1.07x1.000000x1.000000x1.645%1.64%1.544%1.54%36-1.160644x-1.160644x1.16x1.000000x1.000000x2.142%2.14%1.845%1.85%37-1.197529x-1.197529x1.20x1.000000x1.000000x2.764%2.76%2.308%2.31%38-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%39-1.255411x-1.255411x1.26x1.000000x1.000000x1.569%1.57%1.250%1.25%40-1.354985x-1.354985x1.35x1.000000x1.000000x1.964%1.96%1.449%1.45%41-1.382648x-1.382648x1.38x1.000000x1.000000x1.274%1.27%0.921%0.92%42-1.449314x-1.449314x1.45x1.000000x1.000000x2.851%2.85%1.967%1.97%43-1.480208x-1.480208x1.48x1.000000x1.000000x2.708%2.71%1.830%1.83%44-1.612032x-1.612032x1.61x1.000000x1.000000x2.769%2.77%1.718%1.72%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.569%0.57%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.275%1.28%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares Denver to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Denver. 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 Denver, selected other county subdivisions in Pennsylvania, and entities that contain Denver
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreZIP Code 17517ZIP 17517Cocalico School DistrictCocalicoLancaster Metro AreaLancasterLancaster CountyLancasterScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastDenver010102Tract 010102DenverAltoonaUpper 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%4,319916.603389%16.603389%16.6%1,79315.968763%15.968763%16.0%2,59715.399115%15.399115%15.4%54,57454.6k15.399115%15.399115%15.4%54,57454.6k15.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M11.482720%11.482720%11.5%30911.482720%11.482720%11.5%30911.482720%11.482720%11.5%30910.743639%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 Denver, selected other county subdivisions in Pennsylvania, and entities that contain Denver
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 TownshipBensalemBethlehemPhiladelphiaLancaster Metro AreaLancasterLancaster CountyLancasterRidley TownshipRidleyFalls TownshipFallsErieDenver010102Tract 010102DenverScrantonNorristownZIP Code 17517ZIP 17517Cocalico School DistrictCocalicoWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%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%272,786273k3525.650330%25.650330%25.7%90,90490.9k25.650330%25.650330%25.7%90,90490.9k24.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.664809%21.664809%21.7%58321.664809%21.664809%21.7%58321.664809%21.664809%21.7%58321.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424020.872303%20.872303%20.9%2,25420.260715%20.260715%20.3%3,29519.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Denver, selected other county subdivisions in Pennsylvania, and entities that contain Denver
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 HlsLancaster Metro AreaLancasterLancaster CountyLancasterWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownZIP Code 17517ZIP 17517Denver010102Tract 010102DenverFalls TownshipFallsRidley TownshipRidleyCocalico School DistrictCocalicoWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%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%731342.311250%2.311250%2.3%8,1912.311250%2.311250%2.3%8,1911.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.314937%1.314937%1.3%1421.226310%1.226310%1.2%331.226310%1.226310%1.2%331.226310%1.226310%1.2%331.147582%1.147582%1.1%272431.025898%1.025898%1.0%225441.002275%1.002275%1.0%1630.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Denver, selected other county subdivisions in Pennsylvania, and entities that contain Denver
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaZIP 17517Mt LebanonCheltenhamFallsHempfieldBristolCocalicoChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimLancasterLancasterUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonDenverTract 010102DenverMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.374162x1.374162x1.37x14.032%14.0%19.282%19.3%-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-1.000000x1.229875x1.229875x1.23x14.372%14.4%17.676%17.7%-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-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-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-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%41-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%42-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%43-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%44-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%45-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%46-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%47-1.583597x-1.583597x1.58x1.000000x1.000000x3.691%3.69%2.330%2.33%48-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Denver, selected other county subdivisions in Pennsylvania, and entities that contain Denver
Female
Male
0x5x10xFM#DenverTract 010102DenverZIP 17517CocalicoFallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordManheimMonroevilleLancasterLancasterUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x6.352533x6.352533x6.35x0.363%0.36%2.306%2.31%-1.000000x-1.000000x4.942339x4.942339x4.94x0.345%0.35%1.705%1.71%-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%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-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-1.000000x-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-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 Denver to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Denver. 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 Denver, selected other county subdivisions in the Northeast, and entities that contain Denver
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloZIP Code 17517ZIP 17517Town of New HavenNew HvnLakewood TownshipLakewoodCocalico School DistrictCocalicoWorcesterLancaster Metro AreaLancasterLancaster CountyLancasterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastDenver010102Tract 010102DenverStaten 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%27,74127.7k2216.603389%16.603389%16.6%1,79316.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.968763%15.968763%16.0%2,59715.555125%15.555125%15.6%18,48418.5k2515.399115%15.399115%15.4%54,57454.6k15.399115%15.399115%15.4%54,57454.6k14.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.482720%11.482720%11.5%30911.482720%11.482720%11.5%30911.482720%11.482720%11.5%30911.118888%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 Denver, selected other county subdivisions in the Northeast, and entities that contain Denver
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 TownshipLakewoodSyracusePhiladelphiaLancaster Metro AreaLancasterLancaster CountyLancasterTown of BabylonBabylonBuffaloRochesterLowellErieDenver010102Tract 010102DenverZIP Code 17517ZIP 17517Cocalico School DistrictCocalicoLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%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%272,786273k3325.650330%25.650330%25.7%90,90490.9k25.650330%25.650330%25.7%90,90490.9k25.418993%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%14,11614.1k3821.664809%21.664809%21.7%58321.664809%21.664809%21.7%58321.664809%21.664809%21.7%58320.872303%20.872303%20.9%2,25420.260715%20.260715%20.3%3,29519.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Denver, selected other county subdivisions in the Northeast, and entities that contain Denver
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 IslipLancaster Metro AreaLancasterLancaster CountyLancasterTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldZIP Code 17517ZIP 17517Denver010102Tract 010102DenverLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonCocalico School DistrictCocalicoPaterson19.696596%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%5,304312.311250%2.311250%2.3%8,1912.311250%2.311250%2.3%8,1912.259902%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%1,401431.314937%1.314937%1.3%1421.226310%1.226310%1.2%331.226310%1.226310%1.2%331.226310%1.226310%1.2%331.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636491.002275%1.002275%1.0%1630.572354%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 Denver, selected other county subdivisions in the Northeast, and entities that contain Denver
Female
Male
1x0x1xFM#ZIP 17517StamfordGreenburghSpringfieldCocalicoNewarkGreeceRamapoBrookhavenBridgeportNew BedfordLancasterLancasterWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastDenverTract 010102DenverMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.374162x1.374162x1.37x14.032%14.0%19.282%19.3%-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-1.000000x1.229875x1.229875x1.23x14.372%14.4%17.676%17.7%-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-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-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-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%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Denver, selected other county subdivisions in the Northeast, and entities that contain Denver
Female
Male
0x5x10xFM#DenverTract 010102DenverZIP 17517CocalicoLakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPennsylvaniaElizabethLancasterLancasterBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x6.352533x6.352533x6.35x0.363%0.36%2.306%2.31%-1.000000x-1.000000x4.942339x4.942339x4.94x0.345%0.35%1.705%1.71%-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-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-1.000000x-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Denver to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Denver. 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 Denver, selected other county subdivisions in the United States, and entities that contain Denver
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 VlyMilwaukeePhiladelphiaOntarioChicagoZIP Code 17517ZIP 17517BaltimoreOceanside-EscondidoOceanside-Escond…Cocalico School DistrictCocalicoLas VegasLancaster Metro AreaLancasterLancaster CountyLancasterPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteDenver010102Tract 010102DenverColumbusTulsaPennsylvaniaSalt 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%309,770310k2216.603389%16.603389%16.6%1,79316.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.968763%15.968763%16.0%2,59715.906523%15.906523%15.9%198,651199k2515.399115%15.399115%15.4%54,57454.6k15.399115%15.399115%15.4%54,57454.6k14.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.482720%11.482720%11.5%30911.482720%11.482720%11.5%30911.482720%11.482720%11.5%30911.376979%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 Denver, selected other county subdivisions in the United States, and entities that contain Denver
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 VlyOntarioPhiladelphiaMiamiLancaster Metro AreaLancasterLancaster CountyLancasterFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasDenver010102Tract 010102DenverEl PasoZIP Code 17517ZIP 17517Cocalico School DistrictCocalicoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%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%178,455178k4025.650330%25.650330%25.7%90,90490.9k25.650330%25.650330%25.7%90,90490.9k24.665414%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%271,037271k4521.664809%21.664809%21.7%58321.664809%21.664809%21.7%58321.664809%21.664809%21.7%58321.071885%21.071885%21.1%72,12072.1k4620.872303%20.872303%20.9%2,25420.260715%20.260715%20.3%3,29519.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Denver, selected other county subdivisions in the United States, and entities that contain Denver
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 VlyOntarioLancaster Metro AreaLancasterLancaster CountyLancasterFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitZIP Code 17517ZIP 17517Denver010102Tract 010102DenverCocalico School DistrictCocalico12.461852%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%9,688412.311250%2.311250%2.3%8,1912.311250%2.311250%2.3%8,1912.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.314937%1.314937%1.3%1421.226310%1.226310%1.2%331.226310%1.226310%1.2%331.226310%1.226310%1.2%331.002275%1.002275%1.0%163
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 Denver, selected other county subdivisions in the United States, and entities that contain Denver
Female
Male
1x0x1xFM#ZIP 175171, CharlotteDetroitCocalicoBaltimoreTulsaSW DallasFresnoMilwaukeeLancasterLancasterUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonDenverTract 010102DenverMiddle 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 DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.374162x1.374162x1.37x14.032%14.0%19.282%19.3%-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-1.000000x1.229875x1.229875x1.23x14.372%14.4%17.676%17.7%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-1.000000x-1.000000x1.110896x1.110896x1.11x14.622%14.6%16.243%16.2%-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-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-1.000000x-1.000000x1.060414x1.060414x1.06x11.159%11.2%11.833%11.8%-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%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Denver, selected other county subdivisions in the United States, and entities that contain Denver
Female
Male
0x5x10xFM#DenverTract 010102DenverZIP 17517CocalicoEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastLancasterLancasterSan 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-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.552%2.55%-1.000000x-1.000000x6.352533x6.352533x6.35x0.363%0.36%2.306%2.31%-1.000000x-1.000000x4.942339x4.942339x4.94x0.345%0.35%1.705%1.71%-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-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-1.000000x-1.000000x1.555728x1.555728x1.56x1.825%1.82%2.839%2.84%-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.

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Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Lancaster
Metro Area:
Lancaster Area
Borough:
Denver
ZIP Code:
17517
Unified School District:
Cocalico
Congressional District:
PA-16
State Senate District:
PA-36
State House District:
PA-37
Neighboring Townships:
East Cocalico, West Cocalico
Nearby Townships:
Brecknock, Clay, Ephrata, South Heidelberg