Educational Attainment in Oxford, Chester County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Chester County and Oxford
Oxford
Chester County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma227.420343%56.377632%27.420343%27.4%89550.306373%36.576941%50.306373%50.3%1,64222.273284%7.045428%22.273284%22.3%727
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 Chester County at large.
Scope: population of Chester County and Oxford
-200%0%+200%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-51.363081%-51.363081%-51.4%27.420%27.4%56.378%56.4%37.535757%37.535757%+37.5%50.306%50.3%36.577%36.6%216.138151%216.138151%+216.1%22.273%22.3%7.045%7.05%
% percentage with given level in Oxford
ref. percentage with given level in Chester 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 Chester County and Oxford
Oxford
Chester County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.735294%2.695836%0.735294%0.7%240.612745%3.067365%0.612745%0.6%205.330882%14.331581%5.330882%5.3%17415.012255%30.137968%15.012255%15.0%4905.729167%6.144882%5.729167%5.7%18711.305147%14.098106%11.305147%11.3%36939.001225%22.478835%39.001225%39.0%1,27310.171569%3.960370%10.171569%10.2%33210.324755%2.472512%10.324755%10.3%3371.776961%0.612545%1.776961%1.8%58
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 Chester County at large.
Scope: population of Chester County and Oxford
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-72.724820%-72.724820%-72.7%0.735%0.74%2.696%2.70%-80.023733%-80.023733%-80.0%0.613%0.61%3.067%3.07%-62.803249%-62.803249%-62.8%5.331%5.33%14.332%14.3%-50.188231%-50.188231%-50.2%15.012%15.0%30.138%30.1%-6.765228%-6.765228%-6.8%5.729%5.73%6.145%6.14%-19.810879%-19.810879%-19.8%11.305%11.3%14.098%14.1%73.501987%73.501987%+73.5%39.001%39.0%22.479%22.5%156.833784%156.833784%+156.8%10.172%10.2%3.960%3.96%317.581533%317.581533%+317.6%10.325%10.3%2.473%2.47%190.094738%190.094738%+190.1%1.777%1.78%0.613%0.61%
% percentage with given level in Oxford
ref. percentage with given level in Chester 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 Chester County and Oxford
More Females More Males
Chester County
Oxford
0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.048498%21.755480%21.755480%22%25.181%25.2%30.660%30.7%-45.424645%-2.755509%-45.424645%45%57.668%57.7%39.655%39.7%73.088682%25.184782%73.088682%73%17.150%17.2%29.685%29.7%
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 Chester County and Oxford
More Females More Males
Chester County
Oxford
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None70.982690%56.332607%70.982690%71%0.570%0.57%0.975%0.97%44.677661%69.985390%44.677661%45%0.518%0.52%0.750%0.75%-62.164209%-12.615757%-62.164209%62%6.321%6.32%3.898%3.90%-0.859712%19.844928%19.844928%20%13.886%13.9%16.642%16.6%-26.442253%116.051974%116.051974%116%3.886%3.89%8.396%8.40%-69.245073%-0.249350%-69.245073%69%13.575%13.6%8.021%8.02%-39.384869%-4.360621%-39.384869%39%44.093%44.1%31.634%31.6%136.536494%21.478155%136.536494%137%6.528%6.53%15.442%15.4%86.998338%33.585258%86.998338%87%7.617%7.62%14.243%14.2%-1,000.000000%-1,000.000000%> 1000%17.107643%3.005%3.01%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 Chester County and Oxford
Oxford
Chester County
0%5%10%15%20%25%30%35%B.X.Total65+45-6435-4425-3410.280374%21.167688%10.280374%10.3%8885611.184211%29.762999%11.184211%11.2%1361,21628.771930%35.782156%28.771930%28.8%16457016.398714%36.381521%16.398714%16.4%102622
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 Chester County at large.
Scope: population of Chester County and Oxford
60%50%40%30%20%10%0%%ref.65+45-6435-4425-34-51.433647%-51.433647%51.4%10.280%10.3%21.168%21.2%-62.422434%-62.422434%62.4%11.184%11.2%29.763%29.8%-19.591403%-19.591403%19.6%28.772%28.8%35.782%35.8%-54.925706%-54.925706%54.9%16.399%16.4%36.382%36.4%
% percentage in Oxford with a Bachelor's degree
ref percentage in Chester 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 Chester County and Oxford
More Females More Males
Chester County
Oxford
50%0%50%FM65+45-6435-4425-3449.243697%43.111008%49.243697%49.2%8.854%8.85%13.214%13.2%-65.695467%-9.311808%-65.695467%65.7%13.831%13.8%8.348%8.35%-7.343037%37.606751%37.606751%37.6%24.601%24.6%33.852%33.9%-12.945538%81.383648%81.383648%81.4%12.864%12.9%23.333%23.3%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Chester County and Oxford
Oxford
Chester County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$47,303.000000$89,857.000000$47,303.000000$47.3k2186.679%6.68%$50,148.000000$64,457.000000$50,148.000000$50.1k49015.012%15.0%$36,525.000000$41,534.000000$36,525.000000$36.5k55617.034%17.0%$31,020.000000$33,527.000000$31,020.000000$31.0k1,27339.001%39.0%$25,708.000000$24,237.000000$25,708.000000$25.7k72722.273%22.3%$35,805.000000$51,638.000000$35,805.000000$35.8k3,264100.000%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 Chester County and Oxford
Female Male
Chester County
Oxford
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-45,417.000000$-7,723.000000$-49,128.000000$-53,140.000000$53.1k$45,417.000000$49,128.000000$34,894.000000$45,417.000000$45.4k268222$-32,250.000000$-33,103.000000$-32,250.000000$32.3k$32,250.000000$14,139.000000$33,103.000000$17,936.000000$46,389.000000$46.4k337219$-26,794.000000$-26,851.000000$-26,794.000000$26.8k$26,794.000000$18,551.000000$26,851.000000$13,893.000000$45,345.000000$45.3k851422$-30,436.000000$-41,181.000000$-30,436.000000$30.4k$30,436.000000$11,986.000000$41,181.000000$21,470.000000$42,422.000000$42.4k1,9301,334
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 Chester County and Oxford
Oxford
Chester County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma393.670886%84.525465%93.670886%93.7%51870.294785%78.435341%70.294785%70.3%31074.750831%73.989834%74.750831%74.8%67554.990215%65.386952%54.990215%55.0%281
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 Chester County and Oxford
Female Male
Chester County
Oxford
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1BlackHispanic2Other1-8.102109%-4.195388%-4.277883%-12.297496%12.3%8.102109%4.277883%0.662197%8.102109%8.1%73167-21.925134%-9.148889%-21.925134%21.9%21.925134%37.205301%9.148889%0.407500%59.130435%59.1%6841-36.607143%-38.844245%-36.607143%36.6%36.607143%41.136760%38.844245%10.934320%77.743902%77.7%255123-39.583333%-19.076242%-39.583333%39.6%39.583333%60.416667%19.076242%8.395395%100.000000%100.0%3038
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 Chester County and Oxford
Female Male
Chester County
Oxford
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackHispanic2Other1-25.257732%-51.224293%-25.257732%25.3%25.257732%7.705642%51.224293%1.887156%32.963374%33.0%297343-0.000000%-24.199956%-8.458940%0.000000%0.0%0.000000%0.000000%24.199956%0.000000%0.0%00-0.000000%-6.845238%-14.791851%-3.099900%-6.845238%6.8%0.000000%14.791851%0.000000%0.0%023-0.000000%-46.875000%-27.552674%-7.467889%-46.875000%46.9%0.000000%27.552674%0.000000%0.0%045
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 Philadelphia Area

There are 375 county subdivisions in the Philadelphia Area. This section compares Oxford to the 50 most populous county subdivisions in the Philadelphia Area and to those entities that contain or substantially overlap with Oxford. The least populous of the compared county subdivisions has a population of 24,218.

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 Oxford, selected other county subdivisions in the Philadelphia Area, and entities that contain Oxford
0%10%20%30%Count#CamdenOxford308000Tract 308000OxfordChesterNorristownPhiladelphiaLower ChristianaWilmingtonOxford Area School DistrictOxfordZIP Code 19363ZIP 19363District 3:Elkton3, ElktonPennsauken TownshipPennsaukenUnited States of AmericaUnited StatesNew CastleDistrict 5:North East5, N EPemberton TownshipPembertonMiddle AtlanticBristol TownshipBristolNortheastUpper Darby TownshipUpper DarbyPennsylvaniaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaWillingboro TownshipWillingboroMonroe TownshipMonroeWarminster TownshipWarminsterMiddletown-OdessaDeptford TownshipDeptfordBensalem TownshipBensalemUpper ChristianaWinslow TownshipWinslowRidley TownshipRidleyGloucester TownshipGloucesterPike Creek-Central KirkwoodPike Crk-Cntrl Kirk…Voorhees TownshipVoorheesFalls TownshipFallsChester CountyChesterNewarkWashington TownshipWashingtonCherry Hill TownshipCherry HlHorsham TownshipHorshamUpper Moreland TownshipUpper MorelandBrandywineLower Providence TownshipLower ProvidenceMiddletown TownshipMiddletownGlasgowAbington TownshipAbingtonMount Laurel TownshipMt LaurelUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamEvesham TownshipEveshamSpringfield TownshipSpringfieldPiedmontMontgomery TownshipMontgomeryHaverford TownshipHaverfordNorthampton TownshipNorthamptonUpper Dublin TownshipUpper DublinLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldTredyffrin TownshipTredyffrin31.151484%31.151484%31.2%13,34013.3k122.273284%22.273284%22.3%72722.273284%22.273284%22.3%72722.273284%22.273284%22.3%72720.735207%20.735207%20.7%4,191219.454765%19.454765%19.5%4,346317.390838%17.390838%17.4%180,039180k416.475517%16.475517%16.5%4,051516.395625%16.395625%16.4%7,884616.338046%16.338046%16.3%2,51916.167004%16.167004%16.2%1,75814.797525%14.797525%14.8%2,631714.780298%14.780298%14.8%3,727813.020590%13.020590%13.0%27,818,38027.8M12.964279%12.964279%13.0%7,843912.837599%12.837599%12.8%2,1771012.490367%12.490367%12.5%2,2691112.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031211.614335%11.614335%11.6%4,487,0854.49M10.463617%10.463617%10.5%5,7621310.459911%10.459911%10.5%925,686926k10.325347%10.325347%10.3%424,982425k9.976798%9.976798%10.0%2,107149.958936%9.958936%10.0%2,498159.749015%9.749015%9.7%2,350168.992437%8.992437%9.0%3,329178.528941%8.528941%8.5%1,864188.506291%8.506291%8.5%3,664198.417490%8.417490%8.4%1,567208.324892%8.324892%8.3%2,219218.175269%8.175269%8.2%1,793228.095887%8.095887%8.1%3,563237.782024%7.782024%7.8%2,342247.658571%7.658571%7.7%1,624257.248333%7.248333%7.2%1,718267.045428%7.045428%7.0%24,29224.3k6.866942%6.866942%6.9%2,823276.608430%6.608430%6.6%2,209285.926298%5.926298%5.9%2,951295.821670%5.821670%5.8%1,044305.531441%5.531441%5.5%943315.412555%5.412555%5.4%3,110325.256606%5.256606%5.3%929335.180883%5.180883%5.2%1,677345.140289%5.140289%5.1%1,418355.076142%5.076142%5.1%2,000364.965354%4.965354%5.0%1,469374.625530%4.625530%4.6%982384.539848%4.539848%4.5%1,141394.445057%4.445057%4.4%1,451404.233053%4.233053%4.2%720413.801528%3.801528%3.8%806423.654154%3.654154%3.7%661433.231313%3.231313%3.2%1,060443.210741%3.210741%3.2%880453.154781%3.154781%3.2%576462.533015%2.533015%2.5%1,007472.517303%2.517303%2.5%411481.954874%1.954874%2.0%454491.838552%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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Oxford, selected other county subdivisions in the Philadelphia Area, and entities that contain Oxford
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorLower Makefield TownshipLower MakefieldPiedmontUpper Dublin TownshipUpper DublinMontgomery TownshipMontgomeryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCherry Hill TownshipCherry HlCheltenham TownshipCheltenhamChester CountyChesterNorthampton TownshipNorthamptonMount Laurel TownshipMt LaurelLower Providence TownshipLower ProvidenceVoorhees TownshipVoorheesHorsham TownshipHorshamAbington TownshipAbingtonBrandywineEvesham TownshipEveshamNewarkSpringfield TownshipSpringfieldPike Creek-Central KirkwoodPike Crk-Cntrl Kirk…GlasgowMiddletown TownshipMiddletownUpper Moreland TownshipUpper MorelandPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaUpper ChristianaNortheastWashington TownshipWashingtonMiddle AtlanticMiddletown-OdessaUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterZIP Code 19363ZIP 19363Bensalem TownshipBensalemGloucester TownshipGloucesterOxford Area School DistrictOxfordWilmingtonPhiladelphiaWinslow TownshipWinslowRidley TownshipRidleyMonroe TownshipMonroeWillingboro TownshipWillingboroDistrict 5:North East5, N EFalls TownshipFallsOxford308000Tract 308000OxfordNorristownNew CastleDeptford TownshipDeptfordDistrict 3:Elkton3, ElktonPennsauken TownshipPennsaukenLower ChristianaBristol TownshipBristolPemberton TownshipPembertonChesterCamden76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k368.941612%68.941612%68.9%16,01116.0k466.026790%66.026790%66.0%13,99914.0k563.347574%63.347574%63.3%11,56611.6k656.874344%56.874344%56.9%10,28810.3k756.820537%56.820537%56.8%12,06312.1k855.840751%55.840751%55.8%18,31818.3k954.611909%54.611909%54.6%27,19427.2k1052.059046%52.059046%52.1%13,08413.1k1150.232750%50.232750%50.2%173,198173k49.916083%49.916083%49.9%13,68113.7k1249.579179%49.579179%49.6%14,66814.7k1348.531658%48.531658%48.5%8,5771448.233907%48.233907%48.2%10,22810.2k1547.292701%47.292701%47.3%8,4811646.736041%46.736041%46.7%18,41418.4k1746.488801%46.488801%46.5%26,71226.7k1845.881200%45.881200%45.9%14,97715.0k1943.896862%43.896862%43.9%18,04618.0k2043.112470%43.112470%43.1%7,3332139.627845%39.627845%39.6%11,92611.9k2239.494671%39.494671%39.5%10,89510.9k2337.980784%37.980784%38.0%12,29412.3k2436.051150%36.051150%36.1%6,1462535.513094%35.513094%35.5%1,461,6871.46M35.012892%35.012892%35.0%6,5182634.780899%34.780899%34.8%13,437,26113.4M34.235797%34.235797%34.2%11,44411.4k2733.644618%33.644618%33.6%9,577,4379.58M31.415451%31.415451%31.4%11,63011.6k2830.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k2929.333279%29.333279%29.3%2,595,9502.60M28.131093%28.131093%28.1%6,7813028.066949%28.066949%28.1%3,05228.042439%28.042439%28.0%12,07912.1k3127.709611%27.709611%27.7%12,19512.2k3227.182514%27.182514%27.2%4,19127.016179%27.016179%27.0%12,99113.0k3326.349720%26.349720%26.3%272,786273k3425.893829%25.893829%25.9%6,9023524.895130%24.895130%24.9%5,4603624.458797%24.458797%24.5%6,1353723.533311%23.533311%23.5%4,9703823.222078%23.222078%23.2%3,9383921.774534%21.774534%21.8%5,1614021.691176%21.691176%21.7%70821.691176%21.691176%21.7%70821.691176%21.691176%21.7%70821.227450%21.227450%21.2%4,7424120.882027%20.882027%20.9%12,63312.6k4220.809883%20.809883%20.8%4,5484320.494938%20.494938%20.5%3,6444420.130076%20.130076%20.1%5,0764519.391573%19.391573%19.4%4,7684614.443730%14.443730%14.4%5,3934713.574810%13.574810%13.6%2,4664810.315654%10.315654%10.3%2,085498.194195%8.194195%8.2%3,50950
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 Oxford, selected other county subdivisions in the Philadelphia Area, and entities that contain Oxford
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorPiedmontTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldUpper Dublin TownshipUpper DublinCheltenham TownshipCheltenhamCherry Hill TownshipCherry HlHaverford TownshipHaverfordUpper Merion TownshipUpper MerionMontgomery TownshipMontgomeryVoorhees TownshipVoorheesNorthampton TownshipNorthamptonBrandywineAbington TownshipAbingtonHorsham TownshipHorshamNewarkChester CountyChesterMount Laurel TownshipMt LaurelLower Providence TownshipLower ProvidencePike Creek-Central KirkwoodPike Crk-Cntrl Kirk…Philadelphia, Camden, and Wilmington Metro AreaPhiladelphiaEvesham TownshipEveshamWilmingtonSpringfield TownshipSpringfieldNortheastMiddle AtlanticPhiladelphiaGlasgowUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaUpper Darby TownshipUpper DarbyWashington TownshipWashingtonUpper ChristianaZIP Code 19363ZIP 19363District 5:North East5, N EOxford Area School DistrictOxfordMiddletown-OdessaUpper Moreland TownshipUpper MorelandWarminster TownshipWarminsterBensalem TownshipBensalemDeptford TownshipDeptfordGloucester TownshipGloucesterLower ChristianaWinslow TownshipWinslowMonroe TownshipMonroeNorristownOxford308000Tract 308000OxfordWillingboro TownshipWillingboroDistrict 3:Elkton3, ElktonNew CastlePennsauken TownshipPennsaukenFalls TownshipFallsRidley TownshipRidleyBristol TownshipBristolCamdenChesterPemberton TownshipPemberton23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721213.819451%13.819451%13.8%2,930312.252226%12.252226%12.3%2,559411.031691%11.031691%11.0%2,562510.910286%10.910286%10.9%1,992610.078383%10.078383%10.1%2,53379.302139%9.302139%9.3%4,63288.331301%8.331301%8.3%2,73397.362223%7.362223%7.4%1,563107.253027%7.253027%7.3%1,312116.691818%6.691818%6.7%1,419126.443374%6.443374%6.4%1,766136.408047%6.408047%6.4%3,682145.997462%5.997462%6.0%2,363155.961077%5.961077%6.0%1,069165.874483%5.874483%5.9%2,415175.763201%5.763201%5.8%19,87119.9k5.110698%5.110698%5.1%1,512184.719063%4.719063%4.7%834194.459212%4.459212%4.5%1,342204.292246%4.292246%4.3%176,665177k4.193855%4.193855%4.2%1,369214.121782%4.121782%4.1%1,982224.097831%4.097831%4.1%697234.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k243.367650%3.367650%3.4%929253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k2.458823%2.458823%2.5%1,354272.456098%2.456098%2.5%821282.347443%2.347443%2.3%437292.326651%2.326651%2.3%2532.323387%2.323387%2.3%394302.257102%2.257102%2.3%3482.144787%2.144787%2.1%794312.105819%2.105819%2.1%359321.999585%1.999585%2.0%482331.827088%1.827088%1.8%787341.825669%1.825669%1.8%399351.790502%1.790502%1.8%788361.716284%1.716284%1.7%422371.695742%1.695742%1.7%452381.518957%1.518957%1.5%381391.383231%1.383231%1.4%309401.348039%1.348039%1.3%441.348039%1.348039%1.3%441.348039%1.348039%1.3%441.340026%1.340026%1.3%283411.287964%1.287964%1.3%229421.228160%1.228160%1.2%743431.225412%1.225412%1.2%309441.147582%1.147582%1.1%272451.025898%1.025898%1.0%225460.838288%0.838288%0.8%313470.684212%0.684212%0.7%293480.549179%0.549179%0.5%111490.456898%0.456898%0.5%8350
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 Oxford, selected other county subdivisions in the Philadelphia Area, and entities that contain Oxford
Female
Male
1x0x1x2xFM#RadnorMiddletown-OdessaOxfordTract 308000OxfordUpper MorelandUpper ChristianaWinslow3, ElktonMt LaurelLower ChristianaCheltenhamWillingboroPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…ZIP 19363SpringfieldGlasgowWilmingtonChesterFallsBristolOxfordChesterNew CastleHorshamUpper DarbyHaverfordNorristownDeptfordBrandywinePennsaukenMonroeUnited StatesRidleyPhiladelphiaPennsylvaniaPhiladelphiaEveshamNortheastGloucesterMiddle AtlanticLower ProvidenceCamdenWashingtonNewarkLower MerionLower MakefieldAbingtonMiddletownUpper DublinPembertonUpper Merion5, N EBensalemPiedmontCherry HlWarminsterNorthamptonMontgomeryVoorheesTredyffrin-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.817331x1.817331x1.82x6.334%6.33%11.512%11.5%2-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.598111x1.598111x1.60x4.313%4.31%6.893%6.89%3-1.000000x-1.000000x1.547242x1.547242x1.55x6.656%6.66%10.299%10.3%4-1.000000x-1.000000x1.429863x1.429863x1.43x6.871%6.87%9.825%9.82%5-1.000000x-1.000000x1.386102x1.386102x1.39x12.513%12.5%17.345%17.3%6-1.000000x-1.000000x1.365341x1.365341x1.37x4.257%4.26%5.812%5.81%7-1.000000x-1.000000x1.349320x1.349320x1.35x14.161%14.2%19.108%19.1%8-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%9-1.000000x-1.000000x1.299253x1.299253x1.30x8.834%8.83%11.477%11.5%10-1.000000x-1.000000x1.294936x1.294936x1.29x6.825%6.82%8.838%8.84%11-1.000000x-1.000000x1.292581x1.292581x1.29x14.206%14.2%18.363%18.4%-1.000000x-1.000000x1.285960x1.285960x1.29x3.711%3.71%4.773%4.77%12-1.000000x-1.000000x1.256777x1.256777x1.26x4.579%4.58%5.755%5.75%13-1.000000x-1.000000x1.256084x1.256084x1.26x14.680%14.7%18.439%18.4%14-1.000000x-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%15-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%16-1.000000x-1.000000x1.223562x1.223562x1.22x14.757%14.8%18.056%18.1%-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%17-1.000000x-1.000000x1.196838x1.196838x1.20x11.897%11.9%14.239%14.2%18-1.000000x-1.000000x1.182447x1.182447x1.18x5.356%5.36%6.333%6.33%19-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%20-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%21-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%22-1.000000x-1.000000x1.136431x1.136431x1.14x8.018%8.02%9.111%9.11%23-1.000000x-1.000000x1.132969x1.132969x1.13x5.098%5.10%5.776%5.78%24-1.000000x-1.000000x1.122705x1.122705x1.12x13.966%14.0%15.680%15.7%25-1.000000x-1.000000x1.112622x1.112622x1.11x9.453%9.45%10.517%10.5%26-1.000000x-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%27-1.000000x-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-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%28-1.000000x-1.000000x1.076000x1.076000x1.08x4.289%4.29%4.615%4.62%29-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.069646x1.069646x1.07x7.833%7.83%8.378%8.38%30-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.050702x1.050702x1.05x5.125%5.13%5.385%5.39%31-1.000000x-1.000000x1.047386x1.047386x1.05x30.494%30.5%31.938%31.9%32-1.000000x-1.000000x1.027366x1.027366x1.03x6.525%6.52%6.703%6.70%33-1.000000x-1.000000x1.020742x1.020742x1.02x6.798%6.80%6.939%6.94%34-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%35-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%36-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%37-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%38-1.054938x-1.054938x1.05x1.000000x1.000000x3.233%3.23%3.064%3.06%39-1.058054x-1.058054x1.06x1.000000x1.000000x12.842%12.8%12.138%12.1%40-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%41-1.064021x-1.064021x1.06x1.000000x1.000000x13.216%13.2%12.421%12.4%42-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%43-1.104804x-1.104804x1.10x1.000000x1.000000x3.987%3.99%3.609%3.61%44-1.137931x-1.137931x1.14x1.000000x1.000000x6.287%6.29%5.525%5.52%45-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%46-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%47-1.533852x-1.533852x1.53x1.000000x1.000000x4.360%4.36%2.842%2.84%48-1.815094x-1.815094x1.82x1.000000x1.000000x9.692%9.69%5.340%5.34%49-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%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 Oxford, selected other county subdivisions in the Philadelphia Area, and entities that contain Oxford
Female
Male
0x2x4xFM#FallsVoorheesChesterUpper DublinWashington5, N ELower MerionSpringfieldCherry HlNorthamptonCheltenhamPiedmontBrandywineUpper MerionWinslowAbingtonRadnorNewarkTredyffrinChesterPennsylvaniaHaverfordOxfordTract 308000OxfordPhiladelphiaLower ProvidenceUpper DarbyMiddletownUnited StatesOxfordMonroeLower MakefieldMiddle AtlanticMt LaurelNortheastHorshamGloucesterRidley3, ElktonPennsaukenEveshamPembertonCamdenPhiladelphiaPike Crk-Cntrl KirkwoodPike Crk-Cntrl Kirk…DeptfordGlasgowZIP 19363Middletown-OdessaBensalemWarminsterMontgomeryWilmingtonUpper ChristianaLower ChristianaUpper MorelandBristolNew CastleWillingboroNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x3.209690x3.209690x3.21x3.293%3.29%10.568%10.6%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.711017x2.711017x2.71x6.088%6.09%16.505%16.5%4-1.000000x-1.000000x2.322832x2.322832x2.32x1.516%1.52%3.521%3.52%5-1.000000x-1.000000x2.040695x2.040695x2.04x1.554%1.55%3.170%3.17%6-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%7-1.000000x-1.000000x2.008025x2.008025x2.01x2.740%2.74%5.502%5.50%8-1.000000x-1.000000x1.980491x1.980491x1.98x6.355%6.36%12.587%12.6%9-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%10-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%11-1.000000x-1.000000x1.958882x1.958882x1.96x9.394%9.39%18.401%18.4%12-1.000000x-1.000000x1.955808x1.955808x1.96x4.438%4.44%8.680%8.68%13-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%14-1.000000x-1.000000x1.846747x1.846747x1.85x1.197%1.20%2.210%2.21%15-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%16-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%17-1.000000x-1.000000x1.692120x1.692120x1.69x4.393%4.39%7.433%7.43%18-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%19-1.000000x-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-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%20-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-1.000000x-1.000000x1.532664x1.532664x1.53x3.718%3.72%5.699%5.70%21-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%22-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%23-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.521657x1.521657x1.52x1.806%1.81%2.748%2.75%-1.000000x-1.000000x1.508229x1.508229x1.51x1.223%1.22%1.845%1.85%24-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%25-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.487263x1.487263x1.49x4.183%4.18%6.221%6.22%26-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.483574x1.483574x1.48x4.845%4.85%7.188%7.19%27-1.000000x-1.000000x1.479311x1.479311x1.48x1.454%1.45%2.151%2.15%28-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%29-1.000000x-1.000000x1.464346x1.464346x1.46x1.056%1.06%1.547%1.55%30-1.000000x-1.000000x1.462743x1.462743x1.46x1.005%1.00%1.469%1.47%31-1.000000x-1.000000x1.446372x1.446372x1.45x3.457%3.46%5.001%5.00%32-1.000000x-1.000000x1.444990x1.444990x1.44x0.374%0.37%0.540%0.54%33-1.000000x-1.000000x1.361927x1.361927x1.36x0.587%0.59%0.800%0.80%34-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%35-1.000000x-1.000000x1.245985x1.245985x1.25x3.992%3.99%4.974%4.97%36-1.000000x-1.000000x1.191436x1.191436x1.19x1.676%1.68%1.996%2.00%37-1.000000x-1.000000x1.190195x1.190195x1.19x3.087%3.09%3.674%3.67%38-1.000000x-1.000000x1.183410x1.183410x1.18x2.141%2.14%2.534%2.53%-1.000000x-1.000000x1.160074x1.160074x1.16x1.982%1.98%2.299%2.30%39-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%40-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%41-1.000000x-1.000000x1.056902x1.056902x1.06x7.066%7.07%7.468%7.47%42-1.000000x-1.000000x1.046417x1.046417x1.05x4.036%4.04%4.224%4.22%43-1.000000x-1.000000x1.034532x1.034532x1.03x2.309%2.31%2.389%2.39%44-1.033167x-1.033167x1.03x1.000000x1.000000x1.742%1.74%1.687%1.69%45-1.138658x-1.138658x1.14x1.000000x1.000000x2.234%2.23%1.962%1.96%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.242944x-1.242944x1.24x1.000000x1.000000x1.348%1.35%1.085%1.08%48-1.331088x-1.331088x1.33x1.000000x1.000000x1.502%1.50%1.128%1.13%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 Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares Oxford to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Oxford. 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 Oxford, selected other county subdivisions in Pennsylvania, and entities that contain Oxford
0%10%20%30%Count#ReadingLancasterOxford308000Tract 308000OxfordAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreOxford Area School DistrictOxfordZIP Code 19363ZIP 19363ScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldChester CountyChesterPenn 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%8,932222.273284%22.273284%22.3%72722.273284%22.273284%22.3%72722.273284%22.273284%22.3%72721.725192%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%4,319916.338046%16.338046%16.3%2,51916.167004%16.167004%16.2%1,75815.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k10.325347%10.325347%10.3%424,982425k9.749015%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%2,260247.045428%7.045428%7.0%24,29224.3k6.765076%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 Oxford, selected other county subdivisions in Pennsylvania, and entities that contain Oxford
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamChester CountyChesterHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterZIP Code 19363ZIP 19363Bensalem TownshipBensalemBethlehemOxford Area School DistrictOxfordPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieOxford308000Tract 308000OxfordScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-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%13,08413.1k1150.232750%50.232750%50.2%173,198173k50.077257%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%6,8262635.513094%35.513094%35.5%1,461,6871.46M34.780899%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%6,7813228.066949%28.066949%28.1%3,05228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033427.182514%27.182514%27.2%4,19126.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.691176%21.691176%21.7%70821.691176%21.691176%21.7%70821.691176%21.691176%21.7%70821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Oxford, selected other county subdivisions in Pennsylvania, and entities that contain Oxford
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 TownshipAbingtonChester CountyChesterHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevillePhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsZIP Code 19363ZIP 19363Oxford Area School DistrictOxfordWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownOxford308000Tract 308000OxfordFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%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%2,363155.763201%5.763201%5.8%19,87119.9k5.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.292246%4.292246%4.3%176,665177k4.221834%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%731342.326651%2.326651%2.3%2532.257102%2.257102%2.3%3481.999585%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%309421.348039%1.348039%1.3%441.348039%1.348039%1.3%441.348039%1.348039%1.3%441.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Oxford, selected other county subdivisions in Pennsylvania, and entities that contain Oxford
Female
Male
2x1x0x1x2xFM#RadnorOxfordTract 308000OxfordShalerAltoonaMt LebanonCheltenhamZIP 19363ChesterFallsHempfieldBristolOxfordChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePhiladelphiaPennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle 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-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.292581x1.292581x1.29x14.206%14.2%18.363%18.4%-1.000000x-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-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-1.000000x1.223562x1.223562x1.22x14.757%14.8%18.056%18.1%-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%22-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%24-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.201433x-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 Oxford, selected other county subdivisions in Pennsylvania, and entities that contain Oxford
Female
Male
1x0x1x2x3x4xFM#FallsSpgChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingChesterPennsylvaniaHaverfordOxfordTract 308000OxfordPhiladelphiaManheimMonroevilleUpper DarbyMiddletownUnited StatesOxfordLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieZIP 19363BensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%21-1.000000x-1.000000x1.837949x1.837949x1.84x4.437%4.44%8.155%8.15%22-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%26-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%27-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%28-1.000000x-1.000000x1.661960x1.661960x1.66x11.969%12.0%19.892%19.9%29-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%30-1.000000x-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-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-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%34-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%35-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.521657x1.521657x1.52x1.806%1.81%2.748%2.75%-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-1.000000x1.183410x1.183410x1.18x2.141%2.14%2.534%2.53%-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 Oxford to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Oxford. 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 Oxford, selected other county subdivisions in the Northeast, and entities that contain Oxford
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldOxford308000Tract 308000OxfordAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloOxford Area School DistrictOxfordTown of New HavenNew HvnLakewood TownshipLakewoodZIP Code 19363ZIP 19363WorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghChester CountyChesterCambridgeTown 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%21,31921.3k922.273284%22.273284%22.3%72722.273284%22.273284%22.3%72722.273284%22.273284%22.3%72721.725192%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%27,74127.7k2216.338046%16.338046%16.3%2,51916.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442416.167004%16.167004%16.2%1,75815.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.325347%10.325347%10.3%424,982425k10.256196%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%4,660467.045428%7.045428%7.0%24,29224.3k5.858411%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 Oxford, selected other county subdivisions in the Northeast, and entities that contain Oxford
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonChester CountyChesterTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceZIP Code 19363ZIP 19363ManchesterTown of IslipOxford Area School DistrictOxfordLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieOxford308000Tract 308000OxfordLynnBronxTown 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%71,41271.4k750.232750%50.232750%50.2%173,198173k48.123874%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%22,33522.3k1635.513094%35.513094%35.5%1,461,6871.46M34.780899%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%20,22720.2k2828.066949%28.066949%28.1%3,05227.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3027.182514%27.182514%27.2%4,19126.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3821.691176%21.691176%21.7%70821.691176%21.691176%21.7%70821.691176%21.691176%21.7%70819.566137%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 Oxford, selected other county subdivisions in the Northeast, and entities that contain Oxford
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 StamfordStamfordProvidenceChester CountyChesterTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CityPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaSyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipZIP Code 19363ZIP 19363Town of HartfordHartfordOxford Area School DistrictOxfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldOxford308000Tract 308000OxfordLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%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%6,154125.763201%5.763201%5.8%19,87119.9k5.571951%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%7,866174.292246%4.292246%4.3%176,665177k4.250337%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%5,304312.326651%2.326651%2.3%2532.259902%2.259902%2.3%1,674322.257102%2.257102%2.3%3482.249852%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%1,401431.348039%1.348039%1.3%441.348039%1.348039%1.3%441.348039%1.348039%1.3%441.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Oxford, selected other county subdivisions in the Northeast, and entities that contain Oxford
Female
Male
1x0x1xFM#OxfordTract 308000OxfordZIP 19363StamfordGreenburghSpringfieldChesterOxfordNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipPhiladelphiaManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.292581x1.292581x1.29x14.206%14.2%18.363%18.4%-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-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-1.000000x-1.000000x1.223562x1.223562x1.22x14.757%14.8%18.056%18.1%-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-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 Oxford, selected other county subdivisions in the Northeast, and entities that contain Oxford
Female
Male
1x0x1x2xFM#LakewoodAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterChesterPennsylvaniaOxfordTract 308000OxfordPhiladelphiaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesOxfordMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxZIP 19363Town of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.521657x1.521657x1.52x1.806%1.81%2.748%2.75%-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-1.000000x1.183410x1.183410x1.18x2.141%2.14%2.534%2.53%-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 Oxford to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Oxford. 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 Oxford, selected other county subdivisions in the United States, and entities that contain Oxford
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Oxford308000Tract 308000OxfordFresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOxford Area School DistrictOxfordZIP Code 19363ZIP 19363Oceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantChester CountyChesterPlanoSeattle 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%248,699249k722.273284%22.273284%22.3%72722.273284%22.273284%22.3%72722.273284%22.273284%22.3%72722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2316.338046%16.338046%16.3%2,51916.167004%16.167004%16.2%1,75815.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.325347%10.325347%10.3%424,982425k10.135583%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%31,44331.4k487.045428%7.045428%7.0%24,29224.3k5.714681%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 Oxford, selected other county subdivisions in the United States, and entities that contain Oxford
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoChester CountyChesterSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastColumbusLos 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…SacramentoZIP Code 19363ZIP 19363East San Gabriel ValleyE San Gabriel VlyOxford Area School DistrictOxfordOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasOxford308000Tract 308000OxfordEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k550.232750%50.232750%50.2%173,198173k49.985845%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%669,666670k1735.513094%35.513094%35.5%1,461,6871.46M34.780899%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%209,283209k3628.066949%28.066949%28.1%3,05227.276345%27.276345%27.3%170,682171k3727.182514%27.182514%27.2%4,19126.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.691176%21.691176%21.7%70821.691176%21.691176%21.7%70821.691176%21.691176%21.7%70821.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Oxford, selected other county subdivisions in the United States, and entities that contain Oxford
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastChester CountyChesterDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaPhiladelphia, Camden, and Wilmington Metro AreaPhiladelphiaNortheastMiamiMiddle 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 VlyZIP Code 19363ZIP 19363OntarioOxford Area School DistrictOxfordFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxOxford308000Tract 308000OxfordDetroit12.461852%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%24,96825.0k85.763201%5.763201%5.8%19,87119.9k5.725842%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%19,24719.2k194.292246%4.292246%4.3%176,665177k4.085016%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%15,54715.5k402.326651%2.326651%2.3%2532.324315%2.324315%2.3%9,688412.257102%2.257102%2.3%3482.173239%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%15,06415.1k491.348039%1.348039%1.3%441.348039%1.348039%1.3%441.348039%1.348039%1.3%441.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Oxford, selected other county subdivisions in the United States, and entities that contain Oxford
Female
Male
1x0x1xFM#OxfordTract 308000OxfordZIP 193631, CharlotteChesterDetroitOxfordBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPhiladelphiaPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.730887x1.730887x1.73x17.150%17.2%29.685%29.7%-1.000000x-1.000000x1.292581x1.292581x1.29x14.206%14.2%18.363%18.4%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.251848x1.251848x1.25x6.280%6.28%7.862%7.86%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.223562x1.223562x1.22x14.757%14.8%18.056%18.1%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.098581x1.098581x1.10x9.867%9.87%10.839%10.8%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-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 Oxford, selected other county subdivisions in the United States, and entities that contain Oxford
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixChesterPennsylvaniaTucson1, CharlotteOxfordTract 308000OxfordNW HarrisLas VegasPhiladelphiaSeattle EastSan Antonio CntrlSan DiegoUnited StatesOxfordSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioZIP 19363Long Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.634268x1.634268x1.63x4.410%4.41%7.207%7.21%-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-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-1.000000x-1.000000x1.584565x1.584565x1.58x1.088%1.09%1.724%1.72%-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-1.000000x1.574153x1.574153x1.57x3.378%3.38%5.317%5.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.521657x1.521657x1.52x1.806%1.81%2.748%2.75%-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-1.000000x1.183410x1.183410x1.18x2.141%2.14%2.534%2.53%-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Chester
Metro Area:
Philadelphia Area
Borough:
Oxford
ZIP Code:
19363
Unified School District:
Oxford
Congressional District:
PA-16
State Senate District:
PA-19
State House District:
PA-13
Neighboring Townships:
East Nottingham, Lower Oxford
Nearby Districts:
9, Calvert
Nearby Townships:
Colerain, Elk, Franklin, Little Britain, New London, Penn, Upper Oxford, West Fallowfield, West Nottingham