Educational Attainment in Monroe, Bradford County, Pennsylvania (Borough)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Bradford County and Monroe
Monroe
Bradford County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma237.468983%26.372392%37.468983%37.5%15159.057072%62.481082%59.057072%59.1%2383.473945%11.146526%3.473945%3.5%14
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 Bradford County at large.
Scope: population of Bradford County and Monroe
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma242.076544%42.076544%+42.1%37.469%37.5%26.372%26.4%-5.480075%-5.480075%-5.5%59.057%59.1%62.481%62.5%-68.833829%-68.833829%-68.8%3.474%3.47%11.147%11.1%
% percentage with given level in Monroe
ref. percentage with given level in Bradford 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 Bradford County and Monroe
Monroe
Bradford County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.240695%0.460903%1.240695%1.2%50.000000%0.000000%0.0%0.981426%04.466501%4.345334%4.466501%4.5%1820.595533%11.894061%20.595533%20.6%8311.166253%8.690667%11.166253%11.2%4510.669975%14.214630%10.669975%10.7%4348.387097%48.266453%48.387097%48.4%1952.729529%8.206833%2.729529%2.7%110.744417%2.160055%0.744417%0.7%30.000000%0.000000%0.0%0.779638%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 Bradford County at large.
Scope: population of Bradford County and Monroe
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None169.187561%169.187561%+169.2%1.241%1.24%0.461%0.46%-100.000000%-100.000000%-100.0%0.000%0%0.981%0.98%2.788453%2.788453%+2.8%4.467%4.47%4.345%4.35%73.158129%73.158129%+73.2%20.596%20.6%11.894%11.9%28.485567%28.485567%+28.5%11.166%11.2%8.691%8.69%-24.936664%-24.936664%-24.9%10.670%10.7%14.215%14.2%0.249954%0.249954%+0.2%48.387%48.4%48.266%48.3%-66.740782%-66.740782%-66.7%2.730%2.73%8.207%8.21%-65.537134%-65.537134%-65.5%0.744%0.74%2.160%2.16%-100.000000%-100.000000%-100.0%0.000%0%0.780%0.78%
% percentage with given level in Monroe
ref. percentage with given level in Bradford 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 Bradford County and Monroe
More Females More Males
Bradford County
Monroe
40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-20.136644%-21.827851%-20.136644%20%41.566%41.6%34.599%34.6%15.180497%3.886119%15.180497%15%54.217%54.2%62.447%62.4%-42.771084%-42.771084%43%28.588770%4.217%4.22%2.954%2.95%
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 Bradford County and Monroe
More Females More Males
Bradford County
Monroe
1,000%500%0%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-114.156627%-114.156627%114%177.557450%1.807%1.81%0.844%0.84%-271.204819%-46.980109%-271.204819%271%7.831%7.83%2.110%2.11%-39.371773%-30.263084%-39.371773%39%24.699%24.7%17.722%17.7%-17.580321%92.616034%92.616034%93%7.229%7.23%13.924%13.9%-80.342422%-9.292835%-80.342422%80%14.458%14.5%8.017%8.02%36.900652%7.838774%36.900652%37%39.759%39.8%54.430%54.4%22.573840%34.557480%22.573840%23%2.410%2.41%2.954%2.95%-1,000.000000%-1,000.000000%> 1000%11.912935%1.807%1.81%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Bradford County and Monroe
Monroe
Bradford County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-343.076923%8.845929%3.076923%3.1%26517.500000%10.531469%17.500000%17.5%2816033.000000%15.195133%33.000000%33.0%3310025.641026%17.892644%25.641026%25.6%2078
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 Bradford County at large.
Scope: population of Bradford County and Monroe
50%0%50%100%%ref.65+45-6435-4425-34-65.216505%-65.216505%65.2%3.077%3.08%8.846%8.85%66.168647%66.168647%66.2%17.500%17.5%10.531%10.5%117.174805%117.174805%117.2%33.000%33.0%15.195%15.2%43.304843%43.304843%43.3%25.641%25.6%17.893%17.9%
% percentage in Monroe with a Bachelor's degree
ref percentage in Bradford 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 Bradford County and Monroe
More Females More Males
Bradford County
Monroe
1,000%500%0%500%1,000%FM65+45-6435-4425-34-1,000.000000%-0.348667%-1,000.000000%> 1000%5.128%5.13%0.000%0%-31.884058%-19.266220%-31.884058%31.9%20.290%20.3%15.385%15.4%-177.122642%-48.425646%-177.122642%177.1%47.170%47.2%17.021%17.0%-81.720303%1,000.000000%1,000.000000%> 1000%0.000%0%27.397%27.4%
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 Bradford County and Monroe
Monroe
Bradford County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$16,389.000000$62,231.000000$16,389.000000$16.4k235.707%5.71%$32,083.000000$43,872.000000$32,083.000000$32.1k8320.596%20.6%$35,833.000000$34,261.000000$35,833.000000$35.8k8821.836%21.8%$37,875.000000$30,653.000000$37,875.000000$37.9k19548.387%48.4%$32,500.000000$27,335.000000$32,500.000000$32.5k143.474%3.47%$34,886.000000$33,714.000000$34,886.000000$34.9k403100.000%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 Bradford County and Monroe
Female Male
Bradford County
Monroe
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-18,750.000000$-36,900.000000$-18,750.000000$18.8k$18,750.000000$18,594.000000$36,900.000000$13,688.000000$37,344.000000$37.3k4142$-35,625.000000$-28,312.000000$-35,625.000000$35.6k$35,625.000000$9,583.000000$28,312.000000$16,859.000000$45,208.000000$45.2k3652$-34,688.000000$-21,346.000000$-34,688.000000$34.7k$34,688.000000$3,437.000000$21,346.000000$17,096.000000$38,125.000000$38.1k66129$-26,250.000000$-26,664.000000$-26,250.000000$26.3k$26,250.000000$10,924.000000$26,664.000000$14,865.000000$37,174.000000$37.2k166237
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 Bradford County and Monroe
Monroe
Bradford County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.795699%81.245757%82.795699%82.8%7769.565217%75.652842%69.565217%69.6%4883.636364%66.885071%83.636364%83.6%138100.000000%42.666667%100.000000%100.0%11
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 Bradford County and Monroe
Female Male
Bradford County
Monroe
Shaded bar tips show excess over facing bar.
5%0%5%10%MFWhite1-3.083700%-1.133167%-9.556678%-4.216867%4.2%3.083700%9.556678%3.023921%3.083700%3.1%77
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 Bradford County and Monroe
Female Male
Bradford County
Monroe
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1-21.585903%-12.751446%-15.368207%-4.023094%-34.337349%34.3%21.585903%15.368207%21.585903%21.6%4957
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 Sayre Area

There are 51 county subdivisions in the Sayre Area. This section compares Monroe to the 50 most populous county subdivisions in the Sayre Area and to those entities that contain or substantially overlap with Monroe. The least populous of the compared county subdivisions has a population of 200.

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 Monroe, selected other county subdivisions in the Sayre Area, and entities that contain Monroe
0%5%10%15%20%Count#West Burlington TownshipW BurlingtonNorth Towanda TownshipN TowandaCanton TownshipCantonTowanda TownshipTowandaWysox TownshipWysoxUlster TownshipUlsterTroyTuscarora TownshipTuscaroraGranville TownshipGranvilleOverton TownshipOvertonTowanda Area School DistrictTowandaUnited States of AmericaUnited StatesNew AlbanySouth Creek TownshipS CrkPike TownshipLeroy TownshipLeroyLe RaysvilleFranklin TownshipFranklinWindham TownshipWindhamAsylum TownshipAsylumMiddle AtlanticSayreStevens TownshipStevensTowandaNortheastBurlington TownshipBurlingtonSylvaniaSayre Metro AreaSayre AreaBradford CountyBradfordRidgebury TownshipRidgeburyRomePennsylvaniaMonroe TownshipMonroeTerry TownshipTerryAthensOrwell TownshipOrwellTroy TownshipRome TownshipCantonSheshequin TownshipSheshequinZIP Code 18832ZIP 18832Columbia TownshipColumbiaAthens TownshipAthensWells TownshipWellsAlbany TownshipAlbanyWyalusingSmithfield TownshipSmithfield951200Tract 951200Herrick TownshipHerrickWarren TownshipWarrenLitchfield TownshipLitchfieldStanding Stone TownshipStanding StoneSpringfield TownshipSpringfieldWyalusing TownshipWyalusingArmenia TownshipArmeniaWilmot TownshipWilmotSouth WaverlyMonroeMonroeBurlington22.519685%22.519685%22.5%143120.730271%20.730271%20.7%176217.565485%17.565485%17.6%228317.176471%17.176471%17.2%146416.845878%16.845878%16.8%188516.649215%16.649215%16.6%159616.454545%16.454545%16.5%181715.852205%15.852205%15.9%133813.572543%13.572543%13.6%87913.461538%13.461538%13.5%281013.318549%13.318549%13.3%1,02113.020590%13.020590%13.0%27,818,38027.8M12.921348%12.921348%12.9%231112.665862%12.665862%12.7%1051212.608696%12.608696%12.6%581312.554113%12.554113%12.6%581412.500000%12.500000%12.5%221512.500000%12.500000%12.5%621612.320000%12.320000%12.3%771712.315930%12.315930%12.3%921812.313400%12.313400%12.3%3,505,1913.51M12.141611%12.141611%12.1%4871912.027491%12.027491%12.0%352011.708543%11.708543%11.7%2332111.614335%11.614335%11.6%4,487,0854.49M11.538462%11.538462%11.5%662211.464968%11.464968%11.5%182311.146526%11.146526%11.1%4,86111.146526%11.146526%11.1%4,86110.995851%10.995851%11.0%1592410.984848%10.984848%11.0%292510.459911%10.459911%10.5%925,686926k10.116732%10.116732%10.1%78269.888579%9.888579%9.9%71279.727113%9.727113%9.7%221289.601182%9.601182%9.6%65299.579832%9.579832%9.6%114309.275362%9.275362%9.3%64319.220453%9.220453%9.2%110329.128631%9.128631%9.1%88339.026688%9.026688%9.0%1158.888889%8.888889%8.9%64348.703559%8.703559%8.7%335358.576998%8.576998%8.6%44368.459215%8.459215%8.5%56378.421053%8.421053%8.4%32388.147430%8.147430%8.1%84398.115543%8.115543%8.1%2958.113208%8.113208%8.1%43407.810321%7.810321%7.8%56417.392197%7.392197%7.4%72427.207207%7.207207%7.2%32436.636501%6.636501%6.6%44446.574394%6.574394%6.6%57456.329114%6.329114%6.3%10465.869324%5.869324%5.9%53475.336179%5.336179%5.3%50483.473945%3.473945%3.5%143.473945%3.473945%3.5%14490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Monroe, selected other county subdivisions in the Sayre Area, and entities that contain Monroe
0%10%20%30%Count#NortheastMiddle AtlanticUnited States of AmericaUnited StatesPennsylvaniaTowandaWells TownshipWellsMonroeMonroeSayreAthens TownshipAthensSouth WaverlyTowanda TownshipTowandaTroyWyalusingAthensWyalusing TownshipWyalusingTroy TownshipTowanda Area School DistrictTowandaWysox TownshipWysoxAsylum TownshipAsylumSmithfield TownshipSmithfieldBurlingtonSayre Metro AreaSayre AreaBradford CountyBradfordCantonSheshequin TownshipSheshequinLitchfield TownshipLitchfieldWilmot TownshipWilmotBurlington TownshipBurlingtonNorth Towanda TownshipN TowandaWindham TownshipWindhamStanding Stone TownshipStanding StoneSpringfield TownshipSpringfieldStevens TownshipStevensOrwell TownshipOrwellLe RaysvilleSouth Creek TownshipS CrkLeroy TownshipLeroyTerry TownshipTerryUlster TownshipUlsterWest Burlington TownshipW Burlington951200Tract 951200Granville TownshipGranvilleHerrick TownshipHerrickWarren TownshipWarrenRidgebury TownshipRidgeburyColumbia TownshipColumbiaSylvaniaZIP Code 18832ZIP 18832Pike TownshipAlbany TownshipAlbanyOverton TownshipOvertonRomeFranklin TownshipFranklinRome TownshipArmenia TownshipArmeniaCanton TownshipCantonTuscarora TownshipTuscaroraMonroe TownshipMonroeNew Albany34.780899%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%2,595,9502.60M27.638191%27.638191%27.6%550126.510721%26.510721%26.5%136226.302730%26.302730%26.3%10626.302730%26.302730%26.3%106326.003490%26.003490%26.0%1,043421.771889%21.771889%21.8%838521.344717%21.344717%21.3%200620.352941%20.352941%20.4%173720.181818%20.181818%20.2%222820.000000%20.000000%20.0%76919.894366%19.894366%19.9%4521019.723183%19.723183%19.7%1711119.411765%19.411765%19.4%2311219.332116%19.332116%19.3%1,48219.175627%19.175627%19.2%2141318.473896%18.473896%18.5%1381418.040737%18.040737%18.0%1861517.894737%17.894737%17.9%171617.681724%17.681724%17.7%7,71117.681724%17.681724%17.7%7,71117.435038%17.435038%17.4%2081717.219917%17.219917%17.2%1661817.145791%17.145791%17.1%1671916.722038%16.722038%16.7%1512016.608392%16.608392%16.6%952116.489988%16.489988%16.5%1402216.480000%16.480000%16.5%1032315.990991%15.990991%16.0%712415.987934%15.987934%16.0%1062515.463918%15.463918%15.5%452615.214180%15.214180%15.2%1032714.772727%14.772727%14.8%262814.595899%14.595899%14.6%1212914.502165%14.502165%14.5%673014.345404%14.345404%14.3%1033113.507853%13.507853%13.5%1293213.385827%13.385827%13.4%853313.204952%13.204952%13.2%48012.948518%12.948518%12.9%833412.830189%12.830189%12.8%683512.552301%12.552301%12.6%903612.378976%12.378976%12.4%1793712.361111%12.361111%12.4%893812.101911%12.101911%12.1%193912.087912%12.087912%12.1%15411.521739%11.521739%11.5%534011.178248%11.178248%11.2%744111.057692%11.057692%11.1%234210.606061%10.606061%10.6%28439.475806%9.475806%9.5%47449.275362%9.275362%9.3%64458.860759%8.860759%8.9%14468.859784%8.859784%8.9%115477.628129%7.628129%7.6%64485.577173%5.577173%5.6%43491.685393%1.685393%1.7%350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Monroe, selected other county subdivisions in the Sayre Area, and entities that contain Monroe
0%1%2%3%4%Count#NortheastTowandaMiddle AtlanticUnited States of AmericaUnited StatesPennsylvaniaAthens TownshipAthensWyalusing TownshipWyalusingTowanda TownshipTowandaSpringfield TownshipSpringfieldWindham TownshipWindhamTroy TownshipOverton TownshipOvertonWyalusingTowanda Area School DistrictTowandaAthensCantonBurlington TownshipBurlingtonRidgebury TownshipRidgeburyWysox TownshipWysoxGranville TownshipGranvilleSayreSayre Metro AreaSayre AreaBradford CountyBradfordRome TownshipSouth WaverlyTerry TownshipTerryMonroeMonroeWarren TownshipWarrenWells TownshipWellsMonroe TownshipMonroe951200Tract 951200Leroy TownshipLeroySouth Creek TownshipS CrkLitchfield TownshipLitchfieldRomeAlbany TownshipAlbanyHerrick TownshipHerrickStevens TownshipStevensSmithfield TownshipSmithfieldWilmot TownshipWilmotArmenia TownshipArmeniaZIP Code 18832ZIP 18832Canton TownshipCantonFranklin TownshipFranklinNorth Towanda TownshipN TowandaLe RaysvilleOrwell TownshipOrwellPike TownshipColumbia TownshipColumbiaSheshequin TownshipSheshequinUlster TownshipUlsterTroyTuscarora TownshipTuscaroraAsylum TownshipAsylumWest Burlington TownshipW BurlingtonStanding Stone TownshipStanding StoneNew AlbanySylvaniaBurlington4.085016%4.085016%4.1%1,578,2061.58M4.070352%4.070352%4.1%8113.884861%3.884861%3.9%1,105,8831.11M3.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.169654%3.169654%3.2%12222.652826%2.652826%2.7%2332.470588%2.470588%2.5%2142.262443%2.262443%2.3%1552.240000%2.240000%2.2%1462.016807%2.016807%2.0%2471.923077%1.923077%1.9%481.842105%1.842105%1.8%791.839290%1.839290%1.8%1411.804577%1.804577%1.8%41101.760268%1.760268%1.8%21111.748252%1.748252%1.7%10121.728907%1.728907%1.7%25131.702509%1.702509%1.7%19141.560062%1.560062%1.6%10151.470955%1.470955%1.5%59161.442330%1.442330%1.4%6291.442330%1.442330%1.4%6291.304348%1.304348%1.3%9171.280683%1.280683%1.3%12181.253482%1.253482%1.3%9191.240695%1.240695%1.2%51.240695%1.240695%1.2%5200.976290%0.976290%1.0%7210.974659%0.974659%1.0%5220.907912%0.907912%0.9%7230.880330%0.880330%0.9%320.865801%0.865801%0.9%4240.844391%0.844391%0.8%7250.821355%0.821355%0.8%8260.757576%0.757576%0.8%2270.755287%0.755287%0.8%5280.754717%0.754717%0.8%4290.687285%0.687285%0.7%2300.678952%0.678952%0.7%7310.664452%0.664452%0.7%6320.632911%0.632911%0.6%1330.627943%0.627943%0.6%80.616333%0.616333%0.6%8340.604839%0.604839%0.6%3350.588928%0.588928%0.6%5360.568182%0.568182%0.6%1370.443131%0.443131%0.4%3380.434783%0.434783%0.4%2390.416667%0.416667%0.4%3400.414938%0.414938%0.4%4410.314136%0.314136%0.3%3420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Monroe, selected other county subdivisions in the Sayre Area, and entities that contain Monroe
Female
Male
2x0x2x4x6xFM#WilmotRome TownshipOrwellSylvaniaPike TownshipFranklinWyalusingStanding StoneAsylumRidgeburyTroy TownshipGranvilleSheshequinAthensHerrickOvertonTuscaroraSayreTerryUlsterNew AlbanyAthensRomeTowandaSpringfieldTract 951200WellsSayre AreaBradfordZIP 18832S CrkMonroeWindhamWysoxStevensCantonN TowandaUnited StatesTowandaColumbiaPennsylvaniaNortheastMiddle AtlanticArmeniaSmithfieldBurlingtonWarrenLe RaysvilleLitchfieldSouth WaverlyMonroeMonroeCantonW BurlingtonAlbanyLeroyTowandaTroyWyalusing-1.000000x-1.000000x7.313348x7.313348x7.31x1.376%1.38%10.064%10.1%1-1.000000x-1.000000x5.656380x5.656380x5.66x2.833%2.83%16.024%16.0%2-1.000000x-1.000000x4.923615x4.923615x4.92x3.245%3.24%15.976%16.0%3-1.000000x-1.000000x4.127907x4.127907x4.13x4.225%4.23%17.442%17.4%4-1.000000x-1.000000x3.575630x3.575630x3.58x5.405%5.41%19.328%19.3%5-1.000000x-1.000000x3.259109x3.259109x3.26x5.652%5.65%18.421%18.4%6-1.000000x-1.000000x2.343478x2.343478x2.34x5.102%5.10%11.957%12.0%7-1.000000x-1.000000x2.200000x2.200000x2.20x4.505%4.50%9.910%9.91%8-1.000000x-1.000000x2.126246x2.126246x2.13x7.778%7.78%16.537%16.5%9-1.000000x-1.000000x2.121273x2.121273x2.12x7.084%7.08%15.028%15.0%10-1.000000x-1.000000x2.100063x2.100063x2.10x6.366%6.37%13.370%13.4%11-1.000000x-1.000000x1.959507x1.959507x1.96x9.524%9.52%18.662%18.7%12-1.000000x-1.000000x1.720560x1.720560x1.72x6.652%6.65%11.446%11.4%13-1.000000x-1.000000x1.689669x1.689669x1.69x6.445%6.44%10.890%10.9%14-1.000000x-1.000000x1.674812x1.674812x1.67x6.061%6.06%10.150%10.2%15-1.000000x-1.000000x1.666667x1.666667x1.67x10.000%10.0%16.667%16.7%16-1.000000x-1.000000x1.613666x1.613666x1.61x12.362%12.4%19.948%19.9%17-1.000000x-1.000000x1.583754x1.583754x1.58x9.615%9.61%15.227%15.2%18-1.000000x-1.000000x1.541303x1.541303x1.54x7.736%7.74%11.924%11.9%19-1.000000x-1.000000x1.531749x1.531749x1.53x13.196%13.2%20.213%20.2%20-1.000000x-1.000000x1.530612x1.530612x1.53x10.000%10.0%15.306%15.3%21-1.000000x-1.000000x1.519735x1.519735x1.52x7.861%7.86%11.946%11.9%22-1.000000x-1.000000x1.516921x1.516921x1.52x8.661%8.66%13.139%13.1%23-1.000000x-1.000000x1.468072x1.468072x1.47x13.876%13.9%20.370%20.4%24-1.000000x-1.000000x1.414262x1.414262x1.41x5.488%5.49%7.761%7.76%25-1.000000x-1.000000x1.380086x1.380086x1.38x6.767%6.77%9.339%9.34%-1.000000x-1.000000x1.330836x1.330836x1.33x7.317%7.32%9.738%9.74%26-1.000000x-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-1.000000x-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-1.000000x-1.000000x1.236210x1.236210x1.24x8.007%8.01%9.898%9.90%-1.000000x-1.000000x1.231069x1.231069x1.23x11.353%11.4%13.976%14.0%27-1.000000x-1.000000x1.175781x1.175781x1.18x9.302%9.30%10.938%10.9%28-1.000000x-1.000000x1.170422x1.170422x1.17x11.411%11.4%13.356%13.4%29-1.000000x-1.000000x1.149303x1.149303x1.15x15.717%15.7%18.063%18.1%30-1.000000x-1.000000x1.147382x1.147382x1.15x11.189%11.2%12.838%12.8%31-1.000000x-1.000000x1.137566x1.137566x1.14x16.364%16.4%18.615%18.6%32-1.000000x-1.000000x1.115698x1.115698x1.12x19.802%19.8%22.093%22.1%33-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.103923x1.103923x1.10x12.668%12.7%13.984%14.0%-1.000000x-1.000000x1.100601x1.100601x1.10x8.470%8.47%9.322%9.32%34-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.051948x1.051948x1.05x6.173%6.17%6.494%6.49%35-1.000000x-1.000000x1.050787x1.050787x1.05x7.965%7.96%8.369%8.37%36-1.004691x-1.004691x1.00x1.000000x1.000000x11.567%11.6%11.513%11.5%37-1.100398x-1.100398x1.10x1.000000x1.000000x8.174%8.17%7.429%7.43%38-1.173034x-1.173034x1.17x1.000000x1.000000x13.483%13.5%11.494%11.5%39-1.185000x-1.185000x1.19x1.000000x1.000000x8.000%8.00%6.751%6.75%40-1.345142x-1.345142x1.35x1.000000x1.000000x6.073%6.07%4.515%4.51%41-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%42-1.443257x-1.443257x1.44x1.000000x1.000000x10.855%10.9%7.521%7.52%43-1.459439x-1.459439x1.46x1.000000x1.000000x26.861%26.9%18.405%18.4%44-1.619321x-1.619321x1.62x1.000000x1.000000x10.611%10.6%6.553%6.55%45-1.670597x-1.670597x1.67x1.000000x1.000000x16.038%16.0%9.600%9.60%46-1.692858x-1.692858x1.69x1.000000x1.000000x14.668%14.7%8.665%8.66%47-2.022458x-2.022458x2.02x1.000000x1.000000x20.637%20.6%10.204%10.2%48-3.329842x-3.329842x3.33x1.000000x1.000000x10.337%10.3%3.104%3.10%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Monroe, selected other county subdivisions in the Sayre Area, and entities that contain Monroe
Female
Male
10x5x0x5x10xFM#SayreCantonUlsterSouth WaverlyTowandaN TowandaFranklinLeroyPike TownshipRomeArmeniaWyalusingTowandaWysoxTowandaAthensWindhamSayre AreaBradfordTroy TownshipTerryAthensPennsylvaniaUnited StatesMiddle AtlanticNortheastSpringfieldZIP 18832MonroeGranvilleHerrickOvertonS CrkTract 951200LitchfieldAlbanyRidgeburyCantonMonroeMonroeWarrenBurlingtonSheshequinSmithfieldWilmotColumbiaRome TownshipOrwellWellsWyalusingStevensLe Raysville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.267%3.27%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.590%3.59%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.638%0.64%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.709%2.71%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.861%4.86%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.453%1.45%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.128%1.13%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.600%1.60%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.840%0.84%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.460%1.46%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.299%1.30%11-1.000000x-1.000000x9.685144x9.685144x9.69x0.481%0.48%4.656%4.66%12-1.000000x-1.000000x3.483542x3.483542x3.48x0.826%0.83%2.876%2.88%-1.000000x-1.000000x3.018994x3.018994x3.02x0.864%0.86%2.607%2.61%13-1.000000x-1.000000x2.938692x2.938692x2.94x2.081%2.08%6.116%6.12%14-1.000000x-1.000000x2.872993x2.872993x2.87x0.972%0.97%2.794%2.79%15-1.000000x-1.000000x2.851027x2.851027x2.85x1.201%1.20%3.425%3.42%16-1.000000x-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x1.965812x1.965812x1.97x1.398%1.40%2.747%2.75%17-1.000000x-1.000000x1.891599x1.891599x1.89x0.860%0.86%1.626%1.63%18-1.000000x-1.000000x1.715630x1.715630x1.72x2.324%2.32%3.988%3.99%19-1.000000x-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-1.000000x1.468657x1.468657x1.47x1.829%1.83%2.687%2.69%20-1.000000x-1.000000x1.424066x1.424066x1.42x0.511%0.51%0.728%0.73%-1.000000x-1.000000x1.343750x1.343750x1.34x0.775%0.78%1.042%1.04%21-1.000000x-1.000000x1.257042x1.257042x1.26x1.401%1.40%1.761%1.76%22-1.007576x-1.007576x1.01x1.000000x1.000000x0.758%0.76%0.752%0.75%23-1.080000x-1.080000x1.08x1.000000x1.000000x2.000%2.00%1.852%1.85%24-1.336554x-1.336554x1.34x1.000000x1.000000x0.966%0.97%0.723%0.72%25-1.417335x-1.417335x1.42x1.000000x1.000000x1.041%1.04%0.735%0.73%-1.580000x-1.580000x1.58x1.000000x1.000000x1.000%1.00%0.633%0.63%26-1.692926x-1.692926x1.69x1.000000x1.000000x0.965%0.96%0.570%0.57%27-1.724493x-1.724493x1.72x1.000000x1.000000x2.180%2.18%1.264%1.26%28-1.909091x-1.909091x1.91x1.000000x1.000000x0.826%0.83%0.433%0.43%29-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%30-2.384196x-2.384196x2.38x1.000000x1.000000x1.362%1.36%0.571%0.57%31-2.646766x-2.646766x2.65x1.000000x1.000000x2.612%2.61%0.987%0.99%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.858%0.86%0.000%0%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.239%1.24%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.376%1.38%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.820%0.82%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.550%2.55%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.885%0.88%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.033%2.03%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.571%3.57%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.399%1.40%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.124%1.12%0.000%0%42
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 42 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares Monroe to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with Monroe. 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 Monroe, selected other county subdivisions in Pennsylvania, and entities that contain Monroe
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonTowanda Area School DistrictTowandaUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastSayre Metro AreaSayre AreaBradford CountyBradfordAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterZIP Code 18832ZIP 18832York TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheim951200Tract 951200PittsburghFalls 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 HuntingdonMonroeMonroeMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541013.318549%13.318549%13.3%1,02113.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M11.146526%11.146526%11.1%4,86111.146526%11.146526%11.1%4,86110.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%9.749015%9.7%2,350179.026688%9.026688%9.0%1158.805520%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%2,279218.115543%8.115543%8.1%2958.043576%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%912403.473945%3.473945%3.5%143.473945%3.473945%3.5%143.276003%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 Monroe, selected other county subdivisions in Pennsylvania, and entities that contain Monroe
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 TownshipBensalemBethlehemPhiladelphiaMonroeMonroeRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterTowanda Area School DistrictTowandaHarrisburgSayre Metro AreaSayre AreaBradford CountyBradfordAltoonaWilkes-BarreAllentownBristol TownshipBristol951200Tract 951200ZIP Code 18832ZIP 18832YorkChesterReading76.926173%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%272,786273k3526.302730%26.302730%26.3%10626.302730%26.302730%26.3%10624.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904219.332116%19.332116%19.3%1,48218.214158%18.214158%18.2%5,5814317.681724%17.681724%17.7%7,71117.681724%17.681724%17.7%7,71116.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934713.204952%13.204952%13.2%48012.087912%12.087912%12.1%15411.708059%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 Monroe, selected other county subdivisions in Pennsylvania, and entities that contain Monroe
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 TownshipWarminsterScrantonTowanda Area School DistrictTowandaBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumSayre Metro AreaSayre AreaBradford CountyBradfordNorristownMonroeMonroeFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoona951200Tract 951200Bristol TownshipBristolYorkZIP Code 18832ZIP 18832ChesterReading23.473777%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%970361.839290%1.839290%1.8%1411.827088%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%309411.442330%1.442330%1.4%6291.442330%1.442330%1.4%6291.383231%1.383231%1.4%309421.240695%1.240695%1.2%51.240695%1.240695%1.2%51.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.880330%0.880330%0.9%320.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.627943%0.627943%0.6%80.549179%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 Monroe, selected other county subdivisions in Pennsylvania, and entities that contain Monroe
Female
Male
2x1x0x1x2xFM#RadnorShalerTract 951200AltoonaMt LebanonCheltenhamSayre AreaBradfordFallsHempfieldZIP 18832BristolChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyTowandaWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipMonroeMonroeNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.380086x1.380086x1.38x6.767%6.77%9.339%9.34%-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-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-1.000000x-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-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-1.000000x1.236210x1.236210x1.24x8.007%8.01%9.898%9.90%-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-1.000000x1.103923x1.103923x1.10x12.668%12.7%13.984%14.0%-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%22-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%24-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.201433x-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%45-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%-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 Monroe, selected other county subdivisions in Pennsylvania, and entities that contain Monroe
Female
Male
2x0x2x4xFM#FallsSpgTowandaChesterLower PaxtonHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonSayre AreaBradfordLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyZIP 18832PittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristownTract 951200MonroeMonroe-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-1.000000x3.483542x3.483542x3.48x0.826%0.83%2.876%2.88%-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%21-1.000000x-1.000000x1.837949x1.837949x1.84x4.437%4.44%8.155%8.15%22-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%26-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%27-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%28-1.000000x-1.000000x1.661960x1.661960x1.66x11.969%12.0%19.892%19.9%29-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%30-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.591202x1.591202x1.59x6.501%6.50%10.344%10.3%31-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%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-1.000000x1.424066x1.424066x1.42x0.511%0.51%0.728%0.73%-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%39-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%40-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%41-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%42-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%43-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50-1.417335x-1.417335x1.42x1.000000x1.000000x1.041%1.04%0.735%0.73%-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%
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 Monroe to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with Monroe. 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 Monroe, selected other county subdivisions in the Northeast, and entities that contain Monroe
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityTowanda Area School DistrictTowandaUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastSayre Metro AreaSayre AreaBradford CountyBradfordStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyZIP Code 18832ZIP 18832Woodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhaven951200Tract 951200PittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtownMonroeMonroe28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.318549%13.318549%13.3%1,02113.020590%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%4,487,0854.49M11.146526%11.146526%11.1%4,86111.146526%11.146526%11.1%4,86111.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.026688%9.026688%9.0%1159.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.115543%8.115543%8.1%2958.043576%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%3,744503.473945%3.473945%3.5%143.473945%3.473945%3.5%14
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 Monroe, selected other county subdivisions in the Northeast, and entities that contain Monroe
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 TownshipLakewoodSyracusePhiladelphiaMonroeMonroeTown of BabylonBabylonBuffaloRochesterLowellErieLynnTowanda Area School DistrictTowandaBronxTown of BridgeportBridgeportSpringfieldSayre Metro AreaSayre AreaBradford CountyBradfordBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewark951200Tract 951200ZIP Code 18832ZIP 18832ElizabethPaterson74.864332%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%272,786273k3326.302730%26.302730%26.3%10626.302730%26.302730%26.3%10625.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.332116%19.332116%19.3%1,48219.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.681724%17.681724%17.7%7,71117.681724%17.681724%17.7%7,71117.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4813.204952%13.204952%13.2%48012.087912%12.087912%12.1%15411.763247%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 Monroe, selected other county subdivisions in the Northeast, and entities that contain Monroe
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 TownshipLakewoodLowellTowanda Area School DistrictTowandaManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldSayre Metro AreaSayre AreaBradford CountyBradfordMonroeMonroeLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrockton951200Tract 951200ZIP Code 18832ZIP 18832Paterson19.696596%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%1,376361.839290%1.839290%1.8%1411.813278%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%1,401431.442330%1.442330%1.4%6291.442330%1.442330%1.4%6291.240695%1.240695%1.2%51.240695%1.240695%1.2%51.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.880330%0.880330%0.9%320.627943%0.627943%0.6%80.572354%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 Monroe, selected other county subdivisions in the Northeast, and entities that contain Monroe
Female
Male
1x0x1xFM#Tract 951200StamfordSayre AreaBradfordGreenburghSpringfieldZIP 18832NewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTowandaTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdisonMonroeMonroe-1.000000x-1.000000x1.380086x1.380086x1.38x6.767%6.77%9.339%9.34%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-1.000000x-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-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-1.000000x1.236210x1.236210x1.24x8.007%8.01%9.898%9.90%-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-1.000000x1.103923x1.103923x1.10x12.668%12.7%13.984%14.0%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%
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 Monroe, selected other county subdivisions in the Northeast, and entities that contain Monroe
Female
Male
2x1x0x1x2x3xFM#TowandaLakewoodSayre AreaBradfordAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPennsylvaniaElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordZIP 18832QuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrocktonTract 951200MonroeMonroe-1.000000x-1.000000x3.483542x3.483542x3.48x0.826%0.83%2.876%2.88%-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%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-1.000000x1.424066x1.424066x1.42x0.511%0.51%0.728%0.73%-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50-1.417335x-1.417335x1.42x1.000000x1.000000x1.041%1.04%0.735%0.73%-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%
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 Monroe to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Monroe. 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 Monroe, selected other county subdivisions in the United States, and entities that contain Monroe
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 VegasPhoenixBostonSacramentoOrlandoAustinDenverTowanda Area School DistrictTowandaUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaSayre Metro AreaSayre AreaBradford CountyBradfordPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaZIP Code 18832ZIP 18832SeattleNortheast TarrantNE Tarrant951200Tract 951200PlanoSeattle EastMonroeMonroe28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.318549%13.318549%13.3%1,02113.020590%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%43,65343.7k4111.146526%11.146526%11.1%4,86111.146526%11.146526%11.1%4,86110.459911%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%37,37337.4k469.026688%9.026688%9.0%1158.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k488.115543%8.115543%8.1%2955.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.473945%3.473945%3.5%143.473945%3.473945%3.5%14
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 Monroe, selected other county subdivisions in the United States, and entities that contain Monroe
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 VlyOntarioPhiladelphiaMonroeMonroeMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoTowanda Area School DistrictTowandaBronxSayre Metro AreaSayre AreaBradford CountyBradfordSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit951200Tract 951200ZIP Code 18832ZIP 1883260.434640%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%272,786273k3926.302730%26.302730%26.3%10626.302730%26.302730%26.3%10626.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.332116%19.332116%19.3%1,48219.131504%19.131504%19.1%173,169173k4717.681724%17.681724%17.7%7,71117.681724%17.681724%17.7%7,71116.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5013.204952%13.204952%13.2%48012.087912%12.087912%12.1%154
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 Monroe, selected other county subdivisions in the United States, and entities that contain Monroe
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 VegasMilwaukeeTowanda Area School DistrictTowandaSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxSayre Metro AreaSayre AreaBradford CountyBradfordDetroitMonroeMonroe951200Tract 951200ZIP Code 18832ZIP 1883212.461852%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%7,455441.839290%1.839290%1.8%1411.807306%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%15,06415.1k491.442330%1.442330%1.4%6291.442330%1.442330%1.4%6291.318660%1.318660%1.3%5,693501.240695%1.240695%1.2%51.240695%1.240695%1.2%50.880330%0.880330%0.9%320.627943%0.627943%0.6%8
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 Monroe, selected other county subdivisions in the United States, and entities that contain Monroe
Female
Male
1x0x1xFM#Tract 951200Sayre AreaBradford1, CharlotteDetroitZIP 18832BaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesTowandaNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl PasoMonroeMonroe-1.000000x-1.000000x1.380086x1.380086x1.38x6.767%6.77%9.339%9.34%-1.000000x-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-1.000000x-1.000000x1.285888x1.285888x1.29x9.780%9.78%12.576%12.6%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.236210x1.236210x1.24x8.007%8.01%9.898%9.90%-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-1.000000x1.103923x1.103923x1.10x12.668%12.7%13.984%14.0%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%-1.427711x-1.427711x1.43x1.000000x1.000000x4.217%4.22%2.954%2.95%
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 Monroe, selected other county subdivisions in the United States, and entities that contain Monroe
Female
Male
2x0x2xFM#TowandaEl PasoSalt Lk CitySayre AreaBradfordPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonZIP 18832San BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 951200MonroeMonroe-1.000000x-1.000000x3.483542x3.483542x3.48x0.826%0.83%2.876%2.88%-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-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x2.027669x2.027669x2.03x0.960%0.96%1.947%1.95%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%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-1.000000x1.424066x1.424066x1.42x0.511%0.51%0.728%0.73%-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.417335x-1.417335x1.42x1.000000x1.000000x1.041%1.04%0.735%0.73%-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%-2.141566x-2.141566x2.14x1.000000x1.000000x1.807%1.81%0.844%0.84%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Bradford
Metro Area:
Sayre Area
Borough:
Monroe
ZIP Code:
18832
Unified School District:
Towanda
Congressional District:
PA-10
State Senate District:
PA-23
State House District:
PA-110
Neighboring Townships:
Monroe
Nearby Townships:
Albany, Asylum, Burlington, Franklin, North Towanda, Overton, Towanda