Educational Attainment in Northumberland, Northumberland County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Northumberland County and Northumberland
Northumberland
Northumberland County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.388377%22.719044%32.388377%32.4%91458.398299%63.099951%58.398299%58.4%1,6489.213324%14.181005%9.213324%9.2%260
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 Northumberland County at large.
Scope: population of Northumberland County and Northumberland
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma242.560476%42.560476%+42.6%32.388%32.4%22.719%22.7%-7.451119%-7.451119%-7.5%58.398%58.4%63.100%63.1%-35.030528%-35.030528%-35.0%9.213%9.21%14.181%14.2%
% percentage with given level in Northumberland
ref. percentage with given level in Northumberland 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 Northumberland County and Northumberland
Northumberland
Northumberland County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.389794%0.438603%0.389794%0.4%110.673281%0.822748%0.673281%0.7%197.618710%4.207939%7.618710%7.6%21516.761162%9.552125%16.761162%16.8%4736.945429%7.697629%6.945429%6.9%19615.662651%12.878442%15.662651%15.7%44242.735648%50.221509%42.735648%42.7%1,2065.917789%9.977481%5.917789%5.9%1673.295535%3.270388%3.295535%3.3%930.000000%0.000000%0.0%0.933135%0
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 Northumberland County at large.
Scope: population of Northumberland County and Northumberland
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-11.128168%-11.128168%-11.1%0.390%0.39%0.439%0.44%-18.166806%-18.166806%-18.2%0.673%0.67%0.823%0.82%81.055622%81.055622%+81.1%7.619%7.62%4.208%4.21%75.470516%75.470516%+75.5%16.761%16.8%9.552%9.55%-9.771842%-9.771842%-9.8%6.945%6.95%7.698%7.70%21.619139%21.619139%+21.6%15.663%15.7%12.878%12.9%-14.905687%-14.905687%-14.9%42.736%42.7%50.222%50.2%-40.688549%-40.688549%-40.7%5.918%5.92%9.977%9.98%0.768920%0.768920%+0.8%3.296%3.30%3.270%3.27%-100.000000%-100.000000%-100.0%0.000%0%0.933%0.93%
% percentage with given level in Northumberland
ref. percentage with given level in Northumberland 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 Northumberland County and Northumberland
More Females More Males
Northumberland County
Northumberland
0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-16.280855%3.767253%3.767253%4%31.799%31.8%32.997%33.0%-14.764214%-14.764214%15%4.134590%62.343%62.3%54.323%54.3%116.467682%6.272501%116.467682%116%5.858%5.86%12.680%12.7%
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 Northumberland County and Northumberland
More Females More Males
Northumberland County
Northumberland
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%39.960948%1,000.000000%> 1000%0.000%0%0.793%0.79%14.793468%78.725958%14.793468%15%0.628%0.63%0.720%0.72%-50.949724%-65.331565%-50.949724%51%9.135%9.14%6.052%6.05%-6.479073%0.300793%0.300793%0%16.736%16.7%16.787%16.8%-19.421359%63.127560%63.127560%63%5.300%5.30%8.646%8.65%-68.935437%-4.749388%-68.935437%69%19.596%19.6%11.599%11.6%-0.056682%-0.056682%0%6.482074%42.748%42.7%42.723%42.7%46.735998%7.244705%46.735998%47%4.812%4.81%7.061%7.06%437.233429%3.336286%437.233429%437%1.046%1.05%5.620%5.62%
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 Northumberland County and Northumberland
Northumberland
Northumberland County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3410.276680%4.938607%10.276680%10.3%7875915.377358%9.629358%15.377358%15.4%1631,06018.781726%11.916913%18.781726%18.8%7439425.944171%14.624933%25.944171%25.9%158609
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 Northumberland County at large.
Scope: population of Northumberland County and Northumberland
0%20%40%60%80%100%%ref.65+45-6435-4425-34108.088635%108.088635%108.1%10.277%10.3%4.939%4.94%59.692461%59.692461%59.7%15.377%15.4%9.629%9.63%57.605632%57.605632%57.6%18.782%18.8%11.917%11.9%77.396858%77.396858%77.4%25.944%25.9%14.625%14.6%
% percentage in Northumberland with a Bachelor's degree
ref percentage in Northumberland 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 Northumberland County and Northumberland
More Females More Males
Northumberland County
Northumberland
60%40%20%0%20%FM65+45-6435-4425-34-32.787018%-32.787018%32.8%29.741499%11.529%11.5%8.683%8.68%-5.966521%20.477502%20.477502%20.5%14.063%14.1%16.942%16.9%-64.690027%-15.898437%-64.690027%64.7%24.528%24.5%14.894%14.9%-50.393082%0.222830%0.222830%0.2%25.912%25.9%25.970%26.0%
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 Northumberland County and Northumberland
Northumberland
Northumberland County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$47,000.000000$55,863.000000$47,000.000000$47.0k2458.682%8.68%$55,556.000000$43,438.000000$55,556.000000$55.6k47316.761%16.8%$36,250.000000$32,361.000000$36,250.000000$36.3k63822.608%22.6%$23,917.000000$28,198.000000$23,917.000000$23.9k1,20642.736%42.7%$35,797.000000$31,588.000000$35,797.000000$35.8k2,822100.000%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 Northumberland County and Northumberland
Female Male
Northumberland County
Northumberland
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-45,250.000000$-54,722.000000$-45,250.000000$45.3k$45,250.000000$19,438.000000$54,722.000000$6,773.000000$64,688.000000$64.7k140105$-54,688.000000$-1,145.000000$-38,929.000000$-55,833.000000$55.8k$54,688.000000$38,929.000000$9,210.000000$54,688.000000$54.7k240233$-26,786.000000$-26,931.000000$-26,786.000000$26.8k$26,786.000000$15,011.000000$26,931.000000$14,268.000000$41,797.000000$41.8k357281$-13,750.000000$-20,874.000000$-13,750.000000$13.8k$13,750.000000$26,979.000000$20,874.000000$14,363.000000$40,729.000000$40.7k613593$-23,235.000000$-25,276.000000$-23,235.000000$23.2k$23,235.000000$19,018.000000$25,276.000000$12,935.000000$42,253.000000$42.3k1,4341,388
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 Northumberland County and Northumberland
Northumberland
Northumberland County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.407035%82.842329%81.407035%81.4%48681.316348%74.147453%81.316348%81.3%38375.736160%67.609630%75.736160%75.7%64331.506849%39.915448%31.506849%31.5%46
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 Northumberland County and Northumberland
Female Male
Northumberland County
Northumberland
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1BlackHispanic2-5.965909%-13.499246%-5.965909%6.0%5.965909%7.469205%13.499246%0.049451%13.435115%13.4%17684-0.000000%-27.242525%0.000000%0.0%0.000000%0.000000%27.242525%3.357062%0.000000%0.0%00-0.000000%-18.342152%0.000000%0.0%0.000000%0.000000%18.342152%6.692048%0.000000%0.0%00
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 Northumberland County and Northumberland
Female Male
Northumberland County
Northumberland
Shaded bar tips show excess over facing bar.
100%50%0%50%MFWhite1BlackHispanic2-22.061069%-3.862227%-14.437870%-1.522914%-25.923295%25.9%22.061069%14.437870%22.061069%22.1%289365-0.000000%-100.000000%-3.170227%-16.098876%-100.000000%100.0%0.000000%3.170227%0.000000%0.0%07-42.105263%-10.052910%-42.105263%42.1%42.105263%15.037594%10.052910%1.164600%57.142857%57.1%208
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 Sunbury Area

There are 36 county subdivisions in the Sunbury Area. This section compares Northumberland to all of the county subdivisions in the Sunbury Area and to those entities that contain or substantially overlap with Northumberland.

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 Northumberland, selected other county subdivisions in the Sunbury Area, and entities that contain Northumberland
0%5%10%15%20%Count#Coal TownshipSunburyMiltonKulpmontLewis TownshipLewisJordan TownshipJordanHerndonLittle Mahanoy TownshipLittle MahanoyWest Chillisquaque TownshipW ChillisquaqueShikellamy School DistrictShikellamySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandMount CarmelShamokinDelaware TownshipDelawareJackson TownshipJacksonUnited States of AmericaUnited StatesShamokin TownshipShamokinUpper Mahanoy TownshipUpper MahanoyMiddle AtlanticLower Augusta TownshipLower AugustaPoint TownshipPtZerbe TownshipZerbeEast Cameron TownshipE CameronWatsontownMarion HeightsMarion HtsNortheastMount Carmel TownshipMt CarmelZIP Code 17857ZIP 17857Washington TownshipWashingtonRush TownshipPennsylvaniaWest Cameron TownshipW CameronEast Chillisquaque TownshipE ChillisquaqueTurbot TownshipTurbotNorthumberland080600Tract 080600NorthumberlandRockefeller TownshipRockefellerTurbotvilleLower Mahanoy TownshipLower MahanoyRalpho TownshipRalphoUpper Augusta TownshipUpper AugustaRiversideMcEwensvilleSnydertown21.834395%21.834395%21.8%1,714121.210297%21.210297%21.2%1,409217.518397%17.518397%17.5%857316.426643%16.426643%16.4%365415.713196%15.713196%15.7%206515.529010%15.529010%15.5%91615.102041%15.102041%15.1%37714.285714%14.285714%14.3%41814.249493%14.249493%14.2%281914.225222%14.225222%14.2%2,31814.181005%14.181005%14.2%9,63514.181005%14.181005%14.2%9,63514.034253%14.034253%14.0%5901013.871921%13.871921%13.9%7041113.188914%13.188914%13.2%4141213.125000%13.125000%13.1%841313.020590%13.020590%13.0%27,818,38027.8M12.953092%12.953092%13.0%2431412.598425%12.598425%12.6%641512.313400%12.313400%12.3%3,505,1913.51M12.288136%12.288136%12.3%871612.273057%12.273057%12.3%3381712.193057%12.193057%12.2%1441812.090164%12.090164%12.1%591911.988304%11.988304%12.0%2052011.816193%11.816193%11.8%542111.614335%11.614335%11.6%4,487,0854.49M11.361738%11.361738%11.4%2722210.695761%10.695761%10.7%59810.647182%10.647182%10.6%512310.615199%10.615199%10.6%882410.459911%10.459911%10.5%925,686926k9.705882%9.705882%9.7%33259.423077%9.423077%9.4%49269.353079%9.353079%9.4%120279.213324%9.213324%9.2%2609.213324%9.213324%9.2%2609.213324%9.213324%9.2%260289.013120%9.013120%9.0%158298.583691%8.583691%8.6%40308.157895%8.157895%8.2%93317.759700%7.759700%7.8%248327.153214%7.153214%7.2%148335.289855%5.289855%5.3%73343.703704%3.703704%3.7%10351.968504%1.968504%2.0%536
Count number of people in category
# rank of county subdivision out of 36 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 Northumberland, selected other county subdivisions in the Sunbury Area, and entities that contain Northumberland
0%10%20%30%Count#RiversideNortheastMiddle AtlanticUnited States of AmericaUnited StatesPennsylvaniaRalpho TownshipRalphoNorthumberland080600Tract 080600NorthumberlandRush TownshipTurbot TownshipTurbotTurbotvilleZIP Code 17857ZIP 17857SnydertownUpper Augusta TownshipUpper AugustaShamokin TownshipShamokinPoint TownshipPtMount CarmelWashington TownshipWashingtonWatsontownLower Mahanoy TownshipLower MahanoyKulpmontShikellamy School DistrictShikellamyLittle Mahanoy TownshipLittle MahanoySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandHerndonDelaware TownshipDelawareLower Augusta TownshipLower AugustaMiltonUpper Mahanoy TownshipUpper MahanoyMarion HeightsMarion HtsLewis TownshipLewisWest Chillisquaque TownshipW ChillisquaqueEast Cameron TownshipE CameronShamokinRockefeller TownshipRockefellerMount Carmel TownshipMt CarmelEast Chillisquaque TownshipE ChillisquaqueSunburyMcEwensvilleZerbe TownshipZerbeCoal TownshipWest Cameron TownshipW CameronJordan TownshipJordanJackson TownshipJackson37.681159%37.681159%37.7%520134.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M30.315023%30.315023%30.3%64,767,78764.8M29.333279%29.333279%29.3%2,595,9502.60M26.063830%26.063830%26.1%833225.442948%25.442948%25.4%71825.442948%25.442948%25.4%71825.442948%25.442948%25.4%718323.039807%23.039807%23.0%191422.992985%22.992985%23.0%295522.532189%22.532189%22.5%105621.606153%21.606153%21.6%1,20820.472441%20.472441%20.5%52719.623006%19.623006%19.6%406819.402985%19.402985%19.4%364917.501816%17.501816%17.5%4821017.364415%17.364415%17.4%7301116.910230%16.910230%16.9%811216.666667%16.666667%16.7%2851315.614035%15.614035%15.6%1781415.481548%15.481548%15.5%3441515.348266%15.348266%15.3%2,50115.331010%15.331010%15.3%441615.021415%15.021415%15.0%10,20610.2k15.021415%15.021415%15.0%10,20610.2k14.693878%14.693878%14.7%361714.176489%14.176489%14.2%4451814.124294%14.124294%14.1%1001913.757155%13.757155%13.8%6732013.582677%13.582677%13.6%692112.691466%12.691466%12.7%582212.509535%12.509535%12.5%1642312.423935%12.423935%12.4%2452412.090164%12.090164%12.1%592511.152709%11.152709%11.2%5662611.066743%11.066743%11.1%1942710.818713%10.818713%10.8%2592810.576923%10.576923%10.6%55299.769682%9.769682%9.8%649309.629630%9.629630%9.6%26319.483489%9.483489%9.5%112329.350318%9.350318%9.4%734339.117647%9.117647%9.1%31349.044369%9.044369%9.0%53357.812500%7.812500%7.8%5036
Count number of people in category
# rank of county subdivision out of 36 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 Northumberland, selected other county subdivisions in the Sunbury Area, and entities that contain Northumberland
0%2%4%6%8%10%Count#RiversideNortheastMiddle AtlanticUnited States of AmericaUnited StatesPennsylvaniaRush TownshipJordan TownshipJordanMount CarmelShamokin TownshipShamokinTurbot TownshipTurbotWest Chillisquaque TownshipW ChillisquaqueRalpho TownshipRalphoZerbe TownshipZerbeUpper Augusta TownshipUpper AugustaMount Carmel TownshipMt CarmelRockefeller TownshipRockefellerTurbotvilleSunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandKulpmontSnydertownEast Chillisquaque TownshipE ChillisquaqueNorthumberland080600Tract 080600NorthumberlandLower Mahanoy TownshipLower MahanoyShikellamy School DistrictShikellamyDelaware TownshipDelawareMarion HeightsMarion HtsLewis TownshipLewisWashington TownshipWashingtonEast Cameron TownshipE CameronWatsontownMiltonZIP Code 17857ZIP 17857Little Mahanoy TownshipLittle MahanoySunburyJackson TownshipJacksonCoal TownshipPoint TownshipPtShamokinWest Cameron TownshipW CameronLower Augusta TownshipLower AugustaUpper Mahanoy TownshipUpper MahanoyMcEwensvilleHerndon10.289855%10.289855%10.3%14214.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k2.533172%2.533172%2.5%2122.389078%2.389078%2.4%1432.283539%2.283539%2.3%9642.025586%2.025586%2.0%3851.948558%1.948558%1.9%2561.825558%1.825558%1.8%3671.720901%1.720901%1.7%5581.693480%1.693480%1.7%2091.643306%1.643306%1.6%34101.461988%1.461988%1.5%35111.369082%1.369082%1.4%24121.287554%1.287554%1.3%6131.261351%1.261351%1.3%8571.261351%1.261351%1.3%8571.215122%1.215122%1.2%27141.181102%1.181102%1.2%3151.153846%1.153846%1.2%6161.063076%1.063076%1.1%301.063076%1.063076%1.1%301.063076%1.063076%1.1%30171.052632%1.052632%1.1%12180.902117%0.902117%0.9%1470.892004%0.892004%0.9%28190.875274%0.875274%0.9%4200.839054%0.839054%0.8%11210.835073%0.835073%0.8%4220.819672%0.819672%0.8%4230.818713%0.818713%0.8%14240.797220%0.797220%0.8%39250.769093%0.769093%0.8%430.696864%0.696864%0.7%2260.647298%0.647298%0.6%43270.625000%0.625000%0.6%4280.624204%0.624204%0.6%49290.472041%0.472041%0.5%13300.334975%0.334975%0.3%17310.294118%0.294118%0.3%1320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%036
Count number of people in category
# rank of county subdivision out of 36 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 Northumberland, selected other county subdivisions in the Sunbury Area, and entities that contain Northumberland
Female
Male
0x5x10xFM#McEwensvilleSnydertownNorthumberlandTract 080600NorthumberlandZIP 17857Marion HtsPtTurbotvilleJacksonCoal TownshipWatsontownShikellamyLewisUpper MahanoyLower MahanoySunburyShamokinTurbotUpper AugustaHerndonUnited StatesPennsylvaniaLittle MahanoyRush TownshipNortheastSunbury AreaNorthumberlandMiddle AtlanticKulpmontW ChillisquaqueJordanE ChillisquaqueRockefellerWashingtonMt CarmelMiltonDelawareMount CarmelZerbeRiversideLower AugustaShamokinRalphoW CameronE Cameron-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.407%7.41%1-1.000000x-1.000000x3.309353x3.309353x3.31x0.870%0.87%2.878%2.88%2-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%3-1.000000x-1.000000x1.738098x1.738098x1.74x7.908%7.91%13.745%13.7%-1.000000x-1.000000x1.517088x1.517088x1.52x9.504%9.50%14.419%14.4%4-1.000000x-1.000000x1.507211x1.507211x1.51x9.939%9.94%14.980%15.0%5-1.000000x-1.000000x1.474281x1.474281x1.47x6.996%7.00%10.314%10.3%6-1.000000x-1.000000x1.352223x1.352223x1.35x11.212%11.2%15.161%15.2%7-1.000000x-1.000000x1.310209x1.310209x1.31x18.405%18.4%24.115%24.1%8-1.000000x-1.000000x1.299675x1.299675x1.30x10.532%10.5%13.688%13.7%9-1.000000x-1.000000x1.279588x1.279588x1.28x12.508%12.5%16.004%16.0%-1.000000x-1.000000x1.237815x1.237815x1.24x14.072%14.1%17.418%17.4%10-1.000000x-1.000000x1.226374x1.226374x1.23x11.290%11.3%13.846%13.8%11-1.000000x-1.000000x1.208553x1.208553x1.21x7.401%7.40%8.945%8.94%12-1.000000x-1.000000x1.162792x1.162792x1.16x19.615%19.6%22.808%22.8%13-1.000000x-1.000000x1.139459x1.139459x1.14x12.118%12.1%13.808%13.8%14-1.000000x-1.000000x1.138491x1.138491x1.14x8.756%8.76%9.968%9.97%15-1.000000x-1.000000x1.115341x1.115341x1.12x6.768%6.77%7.549%7.55%16-1.000000x-1.000000x1.111111x1.111111x1.11x14.286%14.3%15.873%15.9%17-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.087234x1.087234x1.09x13.699%13.7%14.894%14.9%18-1.000000x-1.000000x1.084450x1.084450x1.08x10.174%10.2%11.033%11.0%19-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053684x1.053684x1.05x16.007%16.0%16.866%16.9%20-1.000000x-1.000000x1.050894x1.050894x1.05x13.913%13.9%14.621%14.6%21-1.000000x-1.000000x1.021432x1.021432x1.02x15.357%15.4%15.686%15.7%22-1.038665x-1.038665x1.04x1.000000x1.000000x9.594%9.59%9.237%9.24%23-1.046215x-1.046215x1.05x1.000000x1.000000x9.213%9.21%8.806%8.81%24-1.061941x-1.061941x1.06x1.000000x1.000000x10.970%11.0%10.331%10.3%25-1.088419x-1.088419x1.09x1.000000x1.000000x11.816%11.8%10.856%10.9%26-1.103622x-1.103622x1.10x1.000000x1.000000x18.321%18.3%16.601%16.6%27-1.163690x-1.163690x1.16x1.000000x1.000000x14.169%14.2%12.176%12.2%28-1.262311x-1.262311x1.26x1.000000x1.000000x15.488%15.5%12.270%12.3%29-1.292263x-1.292263x1.29x1.000000x1.000000x13.752%13.8%10.642%10.6%30-1.481795x-1.481795x1.48x1.000000x1.000000x6.267%6.27%4.230%4.23%31-1.567655x-1.567655x1.57x1.000000x1.000000x15.014%15.0%9.577%9.58%32-1.654492x-1.654492x1.65x1.000000x1.000000x17.032%17.0%10.294%10.3%33-1.755556x-1.755556x1.76x1.000000x1.000000x9.887%9.89%5.632%5.63%34-1.996703x-1.996703x2.00x1.000000x1.000000x12.637%12.6%6.329%6.33%35-3.460486x-3.460486x3.46x1.000000x1.000000x19.149%19.1%5.534%5.53%36
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 36 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 Northumberland, selected other county subdivisions in the Sunbury Area, and entities that contain Northumberland
Female
Male
10x5x0x5x10xFM#ShamokinRalphoJacksonE ChillisquaqueE CameronLittle MahanoyKulpmontRush TownshipJordanMt CarmelWatsontownShamokinUpper AugustaNorthumberlandTract 080600NorthumberlandTurbotvilleCoal TownshipW ChillisquaqueZIP 17857SnydertownSunbury AreaNorthumberlandPennsylvaniaUnited StatesMiddle AtlanticNortheastShikellamyMount CarmelDelawareRiversideTurbotSunburyLower MahanoyWashingtonPtMiltonRockefellerLewisZerbeMarion HtsW Cameron-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.714%0.71%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.442%3.44%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.290%1.29%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.410%2.41%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.581%1.58%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.418%1.42%6-1.000000x-1.000000x6.025576x6.025576x6.03x0.352%0.35%2.120%2.12%7-1.000000x-1.000000x5.676056x5.676056x5.68x0.744%0.74%4.225%4.23%8-1.000000x-1.000000x5.490196x5.490196x5.49x0.714%0.71%3.922%3.92%9-1.000000x-1.000000x3.215259x3.215259x3.22x0.714%0.71%2.295%2.29%10-1.000000x-1.000000x2.918251x2.918251x2.92x0.434%0.43%1.267%1.27%11-1.000000x-1.000000x2.866451x2.866451x2.87x1.054%1.05%3.020%3.02%12-1.000000x-1.000000x2.856754x2.856754x2.86x0.858%0.86%2.451%2.45%13-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%14-1.000000x-1.000000x2.179372x2.179372x2.18x0.823%0.82%1.794%1.79%15-1.000000x-1.000000x2.050106x2.050106x2.05x0.383%0.38%0.785%0.78%16-1.000000x-1.000000x1.954273x1.954273x1.95x1.256%1.26%2.455%2.45%17-1.000000x-1.000000x1.673188x1.673188x1.67x0.582%0.58%0.974%0.97%-1.000000x-1.000000x1.654676x1.654676x1.65x0.870%0.87%1.439%1.44%18-1.000000x-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.381143x1.381143x1.38x0.760%0.76%1.049%1.05%-1.000000x-1.000000x1.319344x1.319344x1.32x1.996%2.00%2.633%2.63%19-1.000000x-1.000000x1.191959x1.191959x1.19x0.815%0.82%0.972%0.97%20-1.000000x-1.000000x1.147467x1.147467x1.15x9.610%9.61%11.027%11.0%21-1.000000x-1.000000x1.115902x1.115902x1.12x1.843%1.84%2.057%2.06%22-1.000000x-1.000000x1.049197x1.049197x1.05x0.632%0.63%0.663%0.66%23-1.000000x-1.000000x1.039356x1.039356x1.04x1.033%1.03%1.073%1.07%24-1.021097x-1.021097x1.02x1.000000x1.000000x0.844%0.84%0.826%0.83%25-1.379310x-1.379310x1.38x1.000000x1.000000x0.541%0.54%0.392%0.39%26-1.400077x-1.400077x1.40x1.000000x1.000000x0.920%0.92%0.657%0.66%27-1.616105x-1.616105x1.62x1.000000x1.000000x1.685%1.69%1.043%1.04%28-2.566866x-2.566866x2.57x1.000000x1.000000x1.198%1.20%0.467%0.47%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.396%3.40%0.000%0%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.653%1.65%0.000%0%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.549%0.55%0.000%0%32
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 32 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares Northumberland to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Northumberland. 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 Northumberland, selected other county subdivisions in Pennsylvania, and entities that contain Northumberland
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonShikellamy School DistrictShikellamySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaZIP Code 17857ZIP 17857Upper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterNorthumberland080600Tract 080600NorthumberlandYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541014.225222%14.225222%14.2%2,31814.181005%14.181005%14.2%9,63514.181005%14.181005%14.2%9,63513.020590%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%3,2811510.695761%10.695761%10.7%59810.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%9.749015%9.7%2,350179.213324%9.213324%9.2%2609.213324%9.213324%9.2%2609.213324%9.213324%9.2%2608.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260246.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Northumberland, selected other county subdivisions in Pennsylvania, and entities that contain Northumberland
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaNorthumberland080600Tract 080600NorthumberlandRidley TownshipRidleyFalls TownshipFallsErieZIP Code 17857ZIP 17857ScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownShikellamy School DistrictShikellamySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3525.442948%25.442948%25.4%71825.442948%25.442948%25.4%71825.442948%25.442948%25.4%71824.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.606153%21.606153%21.6%1,20821.568352%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%11,26811.3k4615.348266%15.348266%15.3%2,50115.021415%15.021415%15.0%10,20610.2k15.021415%15.021415%15.0%10,20610.2k14.443730%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 Northumberland, selected other county subdivisions in Pennsylvania, and entities that contain Northumberland
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenhamHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownSunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandFalls TownshipFallsNorthumberland080600Tract 080600NorthumberlandRidley TownshipRidleyWilkes-BarreAltoonaShikellamy School DistrictShikellamyBristol TownshipBristolYorkZIP Code 17857ZIP 17857ChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.261351%1.261351%1.3%8571.261351%1.261351%1.3%8571.147582%1.147582%1.1%272431.063076%1.063076%1.1%301.063076%1.063076%1.1%301.063076%1.063076%1.1%301.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.902117%0.902117%0.9%1470.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.769093%0.769093%0.8%430.549179%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 Northumberland, selected other county subdivisions in Pennsylvania, and entities that contain Northumberland
Female
Male
2x1x0x1x2xFM#NorthumberlandTract 080600NorthumberlandRadnorZIP 17857ShalerAltoonaMt LebanonCheltenhamShikellamyFallsHempfieldBristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterSunbury AreaNorthumberlandScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.738098x1.738098x1.74x7.908%7.91%13.745%13.7%-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-1.000000x1.279588x1.279588x1.28x12.508%12.5%16.004%16.0%-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%6-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%7-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%8-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-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 Northumberland, selected other county subdivisions in Pennsylvania, and entities that contain Northumberland
Female
Male
1x0x1x2x3x4xFM#FallsSpgChesterLower PaxtonNorthumberlandTract 080600NorthumberlandHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinZIP 17857State CollegeReadingSunbury AreaNorthumberlandPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghShikellamyPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-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-1.000000x1.673188x1.673188x1.67x0.582%0.58%0.974%0.97%-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-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.591202x1.591202x1.59x6.501%6.50%10.344%10.3%31-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%34-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%35-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%36-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%37-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.381143x1.381143x1.38x0.760%0.76%1.049%1.05%-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%39-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%40-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%41-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%42-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%43-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

There are 5,785 county subdivisions in the Northeast. This section compares Northumberland to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Northumberland. 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 Northumberland, selected other county subdivisions in the Northeast, and entities that contain Northumberland
0%10%20%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonShikellamy School DistrictShikellamySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordZIP Code 17857ZIP 17857PennsylvaniaTown of HempsteadHempsteadAlbanyNorthumberland080600Tract 080600NorthumberlandWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.225222%14.225222%14.2%2,31814.181005%14.181005%14.2%9,63514.181005%14.181005%14.2%9,63514.106563%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%9,8073510.695761%10.695761%10.7%59810.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.213324%9.213324%9.2%2609.213324%9.213324%9.2%2609.213324%9.213324%9.2%2609.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660465.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Northumberland, selected other county subdivisions in the Northeast, and entities that contain Northumberland
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaNorthumberland080600Tract 080600NorthumberlandTown of BabylonBabylonBuffaloRochesterLowellErieZIP Code 17857ZIP 17857LynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownShikellamy School DistrictShikellamyTown of WaterburyWaterburySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.442948%25.442948%25.4%71825.442948%25.442948%25.4%71825.442948%25.442948%25.4%71825.418993%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%14,11614.1k3821.606153%21.606153%21.6%1,20819.566137%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%11,26811.3k4615.348266%15.348266%15.3%2,50115.070917%15.070917%15.1%10,47710.5k4715.021415%15.021415%15.0%10,20610.2k15.021415%15.021415%15.0%10,20610.2k13.654578%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 Northumberland, selected other county subdivisions in the Northeast, and entities that contain Northumberland
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN HempsteadTown of AmherstAmherstTown of New HavenNew HvnTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldSunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandLynnTown of WaterburyWaterburyNew BedfordNewarkNorthumberland080600Tract 080600NorthumberlandElizabethBrocktonShikellamy School DistrictShikellamyZIP Code 17857ZIP 17857Paterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99267.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788154.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.261351%1.261351%1.3%8571.261351%1.261351%1.3%8571.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.063076%1.063076%1.1%301.063076%1.063076%1.1%301.063076%1.063076%1.1%301.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.902117%0.902117%0.9%1470.769093%0.769093%0.8%430.572354%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 Northumberland, selected other county subdivisions in the Northeast, and entities that contain Northumberland
Female
Male
1x0x1x2xFM#NorthumberlandTract 080600NorthumberlandZIP 17857StamfordShikellamyGreenburghSpringfieldNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastSunbury AreaNorthumberlandMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x1.738098x1.738098x1.74x7.908%7.91%13.745%13.7%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.279588x1.279588x1.28x12.508%12.5%16.004%16.0%-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-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 Northumberland, selected other county subdivisions in the Northeast, and entities that contain Northumberland
Female
Male
1x0x1x2xFM#LakewoodNorthumberlandTract 080600NorthumberlandAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterZIP 17857Sunbury AreaNorthumberlandPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghShikellamyPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-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-1.000000x1.673188x1.673188x1.67x0.582%0.58%0.974%0.97%-1.000000x-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.381143x1.381143x1.38x0.760%0.76%1.049%1.05%-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Northumberland to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Northumberland. 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 Northumberland, selected other county subdivisions in the United States, and entities that contain Northumberland
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonShikellamy School DistrictShikellamySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaZIP Code 17857ZIP 17857PennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaNorthumberland080600Tract 080600NorthumberlandSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2714.225222%14.225222%14.2%2,31814.181005%14.181005%14.2%9,63514.181005%14.181005%14.2%9,63513.900512%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%43,65343.7k4110.695761%10.695761%10.7%59810.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.213324%9.213324%9.2%2609.213324%9.213324%9.2%2609.213324%9.213324%9.2%2608.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Northumberland, selected other county subdivisions in the United States, and entities that contain Northumberland
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiNorthumberland080600Tract 080600NorthumberlandFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasZIP Code 17857ZIP 17857El PasoBronxSan BernardinoShikellamy School DistrictShikellamySunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.442948%25.442948%25.4%71825.442948%25.442948%25.4%71825.442948%25.442948%25.4%71824.665414%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%271,037271k4521.606153%21.606153%21.6%1,20821.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.348266%15.348266%15.3%2,50115.021415%15.021415%15.0%10,20610.2k15.021415%15.021415%15.0%10,20610.2k14.929012%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 Northumberland, selected other county subdivisions in the United States, and entities that contain Northumberland
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitSunbury Metro AreaSunbury AreaNorthumberland CountyNorthumberlandNorthumberland080600Tract 080600NorthumberlandShikellamy School DistrictShikellamyZIP Code 17857ZIP 1785712.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.261351%1.261351%1.3%8571.261351%1.261351%1.3%8571.063076%1.063076%1.1%301.063076%1.063076%1.1%301.063076%1.063076%1.1%300.902117%0.902117%0.9%1470.769093%0.769093%0.8%43
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 Northumberland, selected other county subdivisions in the United States, and entities that contain Northumberland
Female
Male
1x0x1x2xFM#NorthumberlandTract 080600NorthumberlandZIP 178571, CharlotteShikellamyDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSunbury AreaNorthumberlandMiddle 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-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x2.164677x2.164677x2.16x5.858%5.86%12.680%12.7%-1.000000x-1.000000x1.738098x1.738098x1.74x7.908%7.91%13.745%13.7%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.279588x1.279588x1.28x12.508%12.5%16.004%16.0%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-1.000000x-1.000000x1.062725x1.062725x1.06x13.752%13.8%14.615%14.6%-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 Northumberland, selected other county subdivisions in the United States, and entities that contain Northumberland
Female
Male
1x0x1x2xFM#NorthumberlandTract 080600NorthumberlandEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthZIP 17857OrlandoPhoenixSunbury AreaNorthumberlandPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaShikellamyMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-1.000000x-1.000000x2.410663x2.410663x2.41x0.628%0.63%1.513%1.51%-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-1.000000x1.673188x1.673188x1.67x0.582%0.58%0.974%0.97%-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-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.639075x1.639075x1.64x0.957%0.96%1.569%1.57%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.381143x1.381143x1.38x0.760%0.76%1.049%1.05%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Pennsylvania
County:
Northumberland
Metro Area:
Sunbury Area
Borough:
Northumberland
ZIP Code:
17857
Unified School District:
Shikellamy
Congressional District:
PA-10
State Senate District:
PA-27
State House District:
PA-108
Neighboring Townships:
Point
Nearby Townships:
East Buffalo, East Chillisquaque, Monroe, Rockefeller, Union, Upper Augusta, West Chillisquaque