Educational Attainment in the Monroe Township, Wyoming County, Pennsylvania (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wyoming County and the Monroe Township
Monroe Township
Wyoming County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma223.199252%27.111246%23.199252%23.2%24869.691300%64.535120%69.691300%69.7%7457.109448%8.353634%7.109448%7.1%76
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 Wyoming County at large.
Scope: population of Wyoming County and the Monroe Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-14.429417%-14.429417%-14.4%23.199%23.2%27.111%27.1%7.989728%7.989728%+8.0%69.691%69.7%64.535%64.5%-14.893946%-14.893946%-14.9%7.109%7.11%8.354%8.35%
% percentage with given level in the Monroe Township
ref. percentage with given level in Wyoming 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 Wyoming County and the Monroe Township
Monroe Township
Wyoming County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.487211%00.748363%0.832318%0.748363%0.7%84.677268%5.298417%4.677268%4.7%5010.102900%11.982339%10.102900%10.1%1087.670720%8.510962%7.670720%7.7%8216.651076%16.666667%16.651076%16.7%17853.040225%47.868453%53.040225%53.0%5675.612722%6.364190%5.612722%5.6%601.122544%1.679862%1.122544%1.1%120.374181%0.309582%0.374181%0.4%4
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 Wyoming County at large.
Scope: population of Wyoming County and the Monroe Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.487%0.49%-10.086929%-10.086929%-10.1%0.748%0.75%0.832%0.83%-11.723278%-11.723278%-11.7%4.677%4.68%5.298%5.30%-15.685074%-15.685074%-15.7%10.103%10.1%11.982%12.0%-9.872467%-9.872467%-9.9%7.671%7.67%8.511%8.51%-0.093545%-0.093545%-0.1%16.651%16.7%16.667%16.7%10.804133%10.804133%+10.8%53.040%53.0%47.868%47.9%-11.807753%-11.807753%-11.8%5.613%5.61%6.364%6.36%-33.176388%-33.176388%-33.2%1.123%1.12%1.680%1.68%20.866752%20.866752%+20.9%0.374%0.37%0.310%0.31%
% percentage with given level in the Monroe Township
ref. percentage with given level in Wyoming 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 Wyoming County and the Monroe Township
More Females More Males
Wyoming County
Monroe Township
40%20%0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-47.715336%-19.867335%-47.715336%48%27.574%27.6%18.667%18.7%9.042634%5.104246%9.042634%9%66.728%66.7%72.762%72.8%50.414747%22.336730%50.414747%50%5.699%5.70%8.571%8.57%
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 Wyoming County and the Monroe Township
More Females More Males
Wyoming County
Monroe Township
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None3.619048%64.571487%3.619048%4%0.735%0.74%0.762%0.76%-125.183824%-67.432184%-125.183824%125%6.434%6.43%2.857%2.86%-11.948529%-9.416768%-11.948529%12%10.662%10.7%9.524%9.52%-76.375507%-23.050638%-76.375507%76%9.743%9.74%5.524%5.52%-20.939594%-20.939594%21%6.215210%18.199%18.2%15.048%15.0%18.926407%4.720203%18.926407%19%48.529%48.5%57.714%57.7%18.421769%20.831726%18.421769%18%5.147%5.15%6.095%6.10%210.857143%19.426950%210.857143%211%0.551%0.55%1.714%1.71%1,000.000000%81.976663%1,000.000000%> 1000%0.000%0%0.762%0.76%
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 Wyoming County and the Monroe Township
Monroe Township
Wyoming County
0%5%10%15%20%B.X.Total65+45-6435-4425-345.905512%7.626459%5.905512%5.9%152546.640625%11.628187%6.640625%6.6%3451218.918919%15.156250%18.918919%18.9%2814820.000000%16.961942%20.000000%20.0%31155
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 Wyoming County at large.
Scope: population of Wyoming County and the Monroe Township
40%30%20%10%0%10%20%%ref.65+45-6435-4425-34-22.565483%-22.565483%22.6%5.906%5.91%7.626%7.63%-42.891998%-42.891998%42.9%6.641%6.64%11.628%11.6%24.825857%24.825857%24.8%18.919%18.9%15.156%15.2%17.911025%17.911025%17.9%20.000%20.0%16.962%17.0%
% percentage in the Monroe Township with a Bachelor's degree
ref percentage in Wyoming 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 Wyoming County and the Monroe Township
More Females More Males
Wyoming County
Monroe Township
100%50%0%50%FM65+45-6435-4425-34-72.756410%-72.756410%72.8%52.711350%7.051%7.05%4.082%4.08%-30.583801%12.644526%12.644526%12.6%6.224%6.22%7.011%7.01%-5.037550%31.363636%31.363636%31.4%16.176%16.2%21.250%21.3%-102.025316%-27.637102%-102.025316%102.0%26.582%26.6%13.158%13.2%
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 Wyoming County and the Monroe Township
Monroe Township
Wyoming County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$54,375.000000$52,258.000000$54,375.000000$54.4k585.426%5.43%$35,417.000000$44,444.000000$35,417.000000$35.4k10810.103%10.1%$37,969.000000$33,088.000000$37,969.000000$38.0k26024.322%24.3%$28,456.000000$29,046.000000$28,456.000000$28.5k56753.040%53.0%$26,667.000000$23,587.000000$26,667.000000$26.7k767.109%7.11%$32,007.000000$32,892.000000$32,007.000000$32.0k1,069100.000%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 Wyoming County and the Monroe Township
Female Male
Wyoming County
Monroe Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-49,063.000000$-51,597.000000$-3,687.000000$-49,063.000000$49.1k$49,063.000000$33,854.000000$51,597.000000$82,917.000000$82.9k3919$-24,375.000000$-35,809.000000$-24,375.000000$24.4k$24,375.000000$37,188.000000$35,809.000000$16,424.000000$61,563.000000$61.6k5850$-24,643.000000$-24,798.000000$-24,643.000000$24.6k$24,643.000000$36,295.000000$24,798.000000$22,209.000000$60,938.000000$60.9k152108$-20,259.000000$-19,920.000000$-20,259.000000$20.3k$20,259.000000$20,304.000000$19,920.000000$20,663.000000$40,563.000000$40.6k264303$-21,724.000000$-24,921.000000$-21,724.000000$21.7k$21,724.000000$23,762.000000$24,921.000000$17,562.000000$45,486.000000$45.5k544525
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 Wyoming County and the Monroe Township
Monroe Township
Wyoming County
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma379.054054%79.524618%79.054054%79.1%11767.129630%75.518987%67.129630%67.1%14572.000000%68.421053%72.000000%72.0%28872.549020%49.734889%72.549020%72.5%37
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 Wyoming County and the Monroe Township
Female Male
Wyoming County
Monroe Township
Shaded bar tips show excess over facing bar.
10%0%10%20%30%40%MFWhite1Hispanic2Other1-5.838041%-7.381172%-5.838041%5.8%5.838041%2.933888%7.381172%1.510063%8.771930%8.8%4531-0.000000%-2.912621%0.000000%0.0%0.000000%0.000000%2.912621%40.508431%0.000000%0.0%00-0.000000%-10.447761%0.000000%0.0%0.000000%0.000000%10.447761%14.227563%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Wyoming County and the Monroe Township
Female Male
Wyoming County
Monroe Township
Shaded bar tips show excess over facing bar.
60%40%20%0%20%MFWhite1Hispanic2Other1-13.450292%-3.498860%-17.117212%-3.086052%-16.949153%16.9%13.450292%17.117212%13.450292%13.5%6990-0.000000%-14.563107%0.000000%0.0%0.000000%0.000000%14.563107%9.121104%0.000000%0.0%00-0.000000%-77.777778%-9.090909%-13.297151%-77.777778%77.8%0.000000%9.090909%0.000000%0.0%07
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 Scranton Area

There are 139 county subdivisions in the Scranton Area. This section compares the Monroe Township to the 50 most populous county subdivisions in the Scranton Area and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 3,033.

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 the Monroe Township, selected other county subdivisions in the Scranton Area, and entities that contain the Monroe Township
0%5%10%15%20%25%Count#West HazletonHazletonWilkes-BarreHazle TownshipHazleScrantonJackson TownshipJacksonPittston TownshipPittstonCarbondaleUnited States of AmericaUnited StatesNanticokeMiddle AtlanticJefferson TownshipJeffersonPittstonNewport TownshipNewportNortheastSalem TownshipSalemMoosicPlymouthPennsylvaniaScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaLarksvilleJenkins TownshipJenkinsTaylorWyomingPlains TownshipPlainsEdwardsvilleExeterWyoming CountyWyomingHanover TownshipHanoverFreelandDickson CityArchbald400700Tract 400700OlyphantTunkhannock Area School DistrictTunkhannockBlakelyWest PittstonThroopJessupTunkhannock TownshipTunkhannockOld ForgeScott TownshipScottLehman TownshipLehmanMonroe TownshipMonroeKingstonSwoyersvilleFoster TownshipFosterDuryeaSugarloaf TownshipSugarloafDunmoreRice TownshipWright TownshipWrightFairview TownshipFairviewButler TownshipButlerDallas TownshipDallasForty FortSouth Abington TownshipS AbingtonKingston TownshipKingstonClarks Summit28.087798%28.087798%28.1%755124.167293%24.167293%24.2%3,860216.790421%16.790421%16.8%4,319315.514549%15.514549%15.5%1,093415.146168%15.146168%15.1%7,554514.753669%14.753669%14.8%563613.658737%13.658737%13.7%333713.416958%13.416958%13.4%845813.020590%13.020590%13.0%27,818,38027.8M12.498313%12.498313%12.5%926912.313400%12.313400%12.3%3,505,1913.51M12.258065%12.258065%12.3%3231012.174069%12.174069%12.2%6771112.078110%12.078110%12.1%5011211.614335%11.614335%11.6%4,487,0854.49M10.944976%10.944976%10.9%3661310.637803%10.637803%10.6%4571410.548628%10.548628%10.5%4231510.459911%10.459911%10.5%925,686926k10.423339%10.423339%10.4%41,30341.3k10.414747%10.414747%10.4%3391610.270426%10.270426%10.3%3571710.212961%10.212961%10.2%446189.787234%9.787234%9.8%230199.389610%9.389610%9.4%723209.029345%9.029345%9.0%280218.822068%8.822068%8.8%355228.353634%8.353634%8.4%1,6468.338582%8.338582%8.3%662238.195329%8.195329%8.2%193248.144308%8.144308%8.1%377258.129109%8.129109%8.1%408268.120733%8.120733%8.1%2268.054863%8.054863%8.1%323277.836693%7.836693%7.8%1,0737.762739%7.762739%7.8%390287.762423%7.762423%7.8%264297.681709%7.681709%7.7%223307.560026%7.560026%7.6%233317.537994%7.537994%7.5%248327.527896%7.527896%7.5%479337.208148%7.208148%7.2%276347.145587%7.145587%7.1%187357.109448%7.109448%7.1%766.780170%6.780170%6.8%677366.680162%6.680162%6.7%264376.372361%6.372361%6.4%166386.359649%6.359649%6.4%232396.016442%6.016442%6.0%161405.763450%5.763450%5.8%556415.284389%5.284389%5.3%131425.182626%5.182626%5.2%210434.778704%4.778704%4.8%149444.630970%4.630970%4.6%320454.524811%4.524811%4.5%269463.425986%3.425986%3.4%106473.231748%3.231748%3.2%193483.213497%3.213497%3.2%160493.078556%3.078556%3.1%11650
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 the Monroe Township, selected other county subdivisions in the Scranton Area, and entities that contain the Monroe Township
0%10%20%30%40%50%Count#Clarks SummitSouth Abington TownshipS AbingtonRice TownshipKingston TownshipKingstonFairview TownshipFairviewForty FortDallas TownshipDallasLehman TownshipLehmanNortheastMiddle AtlanticKingstonWright TownshipWrightWest PittstonButler TownshipButlerArchbaldDunmoreSugarloaf TownshipSugarloafUnited States of AmericaUnited StatesJessupPennsylvaniaMoosicDuryeaScott TownshipScottWyomingPlains TownshipPlainsOlyphantExeterBlakelySwoyersvilleScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaDickson CityOld ForgeLarksvilleThroopScrantonEdwardsvilleJenkins TownshipJenkinsHanover TownshipHanoverTunkhannock Area School DistrictTunkhannockJackson TownshipJacksonSalem TownshipSalemWyoming CountyWyomingFreelandPittston TownshipPittstonTunkhannock TownshipTunkhannockTaylor400700Tract 400700Wilkes-BarreJefferson TownshipJeffersonMonroe TownshipMonroeCarbondaleNanticokePittstonHazle TownshipHazleWest HazletonPlymouthHazletonNewport TownshipNewportFoster TownshipFoster51.539278%51.539278%51.5%1,942148.978567%48.978567%49.0%2,925240.742235%40.742235%40.7%1,010340.550311%40.550311%40.6%2,019436.433611%36.433611%36.4%1,136536.360698%36.360698%36.4%1,125635.710681%35.710681%35.7%2,123735.154757%35.154757%35.2%920834.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M33.079619%33.079619%33.1%3,303932.305035%32.305035%32.3%1,3091032.196413%32.196413%32.2%1,0951131.461650%31.461650%31.5%2,1741231.301056%31.301056%31.3%1,5711331.170312%31.170312%31.2%3,0071430.792227%30.792227%30.8%8241530.315023%30.315023%30.3%64,767,78764.8M29.720960%29.720960%29.7%9161629.333279%29.333279%29.3%2,595,9502.60M28.608007%28.608007%28.6%1,2291728.070175%28.070175%28.1%1,0241825.881431%25.881431%25.9%9911925.744681%25.744681%25.7%6052025.129870%25.129870%25.1%1,9352124.488778%24.488778%24.5%9822224.204771%24.204771%24.2%9742323.467357%23.467357%23.5%1,1792423.456478%23.456478%23.5%9272523.410430%23.410430%23.4%92,76592.8k23.266364%23.266364%23.3%1,0772622.473676%22.473676%22.5%1,4302722.304147%22.304147%22.3%7262821.977265%21.977265%22.0%6382921.568352%21.568352%21.6%10,75710.8k3020.380522%20.380522%20.4%6323120.368239%20.368239%20.4%7083219.208968%19.208968%19.2%1,5253319.018405%19.018405%19.0%2,60418.920335%18.920335%18.9%7223418.600478%18.600478%18.6%6223518.600284%18.600284%18.6%3,66517.579618%17.579618%17.6%4143617.063167%17.063167%17.1%4163716.960486%16.960486%17.0%5583816.670483%16.670483%16.7%7283916.133669%16.133669%16.1%44915.721339%15.721339%15.7%4,0444015.597723%15.597723%15.6%4114115.528531%15.528531%15.5%16615.449349%15.449349%15.4%9734215.224727%15.224727%15.2%1,1284314.224060%14.224060%14.2%7914413.655075%13.655075%13.7%9624513.281250%13.281250%13.3%3574613.142145%13.142145%13.1%5274711.369897%11.369897%11.4%1,816489.908390%9.908390%9.9%411499.750480%9.750480%9.8%25450
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 the Monroe Township, selected other county subdivisions in the Scranton Area, and entities that contain the Monroe Township
0%2%4%6%8%Count#Rice TownshipSouth Abington TownshipS AbingtonClarks SummitWright TownshipWrightFairview TownshipFairviewKingstonDallas TownshipDallasNortheastForty FortMiddle AtlanticButler TownshipButlerDunmoreWest PittstonKingston TownshipKingstonUnited States of AmericaUnited StatesJackson TownshipJacksonSugarloaf TownshipSugarloafPennsylvaniaLehman TownshipLehmanPlains TownshipPlainsLarksvilleJessupExeterOlyphantScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaArchbaldEdwardsvilleScrantonThroopDickson City400700Tract 400700Jenkins TownshipJenkinsPittston TownshipPittstonSwoyersvilleMoosicNanticokeSalem TownshipSalemBlakelyTunkhannock Area School DistrictTunkhannockWyoming CountyWyomingHanover TownshipHanoverOld ForgeWyomingScott TownshipScottHazletonWilkes-BarrePlymouthTaylorMonroe TownshipMonroeCarbondaleFoster TownshipFosterTunkhannock TownshipTunkhannockHazle TownshipHazleDuryeaJefferson TownshipJeffersonFreelandNewport TownshipNewportPittstonWest Hazleton8.632513%8.632513%8.6%21417.367716%7.367716%7.4%44026.634820%6.634820%6.6%25036.021718%6.021718%6.0%24445.291854%5.291854%5.3%16554.987481%4.987481%5.0%49864.743482%4.743482%4.7%28274.085016%4.085016%4.1%1,578,2061.58M3.975436%3.975436%4.0%12383.884861%3.884861%3.9%1,105,8831.11M3.675832%3.675832%3.7%25493.669535%3.669535%3.7%354103.587180%3.587180%3.6%122113.374172%3.374172%3.4%168123.336158%3.336158%3.3%7,127,6737.13M3.328092%3.328092%3.3%127133.325859%3.325859%3.3%89143.299391%3.299391%3.3%291,991292k3.171571%3.171571%3.2%83152.909091%2.909091%2.9%224162.857143%2.857143%2.9%93172.822842%2.822842%2.8%87182.634195%2.634195%2.6%106192.418953%2.418953%2.4%97202.241991%2.241991%2.2%8,8842.032277%2.032277%2.0%102212.031603%2.031603%2.0%63221.944901%1.944901%1.9%970231.929039%1.929039%1.9%56241.685029%1.685029%1.7%78251.652893%1.652893%1.7%461.639816%1.639816%1.6%57261.599672%1.599672%1.6%39271.594130%1.594130%1.6%63281.582868%1.582868%1.6%68291.471184%1.471184%1.5%109301.465311%1.465311%1.5%49311.373408%1.373408%1.4%69321.329243%1.329243%1.3%1821.319529%1.319529%1.3%2601.284797%1.284797%1.3%102331.257269%1.257269%1.3%80341.234043%1.234043%1.2%29351.149125%1.149125%1.1%44360.976709%0.976709%1.0%156370.940792%0.940792%0.9%242380.922693%0.922693%0.9%37390.870163%0.870163%0.9%38400.748363%0.748363%0.7%80.746269%0.746269%0.7%47410.690979%0.690979%0.7%18420.607903%0.607903%0.6%20430.596167%0.596167%0.6%42440.575658%0.575658%0.6%21450.493359%0.493359%0.5%13460.467091%0.467091%0.5%11470.409836%0.409836%0.4%17480.377630%0.377630%0.4%21490.223214%0.223214%0.2%650
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 the Monroe Township, selected other county subdivisions in the Scranton Area, and entities that contain the Monroe Township
Female
Male
4x2x0x2x4x6xFM#JacksonThroopWrightTaylorNewportSwoyersvilleTract 400700DallasMonroeKingstonClarks SummitForty FortDuryeaCarbondaleJenkinsScottSugarloafLehmanWyomingMoosicPittstonJessupSalemDickson CityUnited StatesWilkes-BarrePennsylvaniaTunkhannockNortheastScrantonMiddle AtlanticPlainsScranton AreaPlymouthHanoverWest PittstonKingstonOld ForgeNanticokeJeffersonHazletonFreelandRice TownshipWest HazletonHazleFosterPittstonDunmoreLarksvilleButlerExeterBlakelyTunkhannockEdwardsvilleWyomingFairviewArchbaldS AbingtonOlyphant-1.000000x-1.000000x6.056037x6.056037x6.06x3.027%3.03%18.331%18.3%1-1.000000x-1.000000x2.633342x2.633342x2.63x4.455%4.46%11.733%11.7%2-1.000000x-1.000000x2.591232x2.591232x2.59x2.834%2.83%7.342%7.34%3-1.000000x-1.000000x1.890470x1.890470x1.89x7.333%7.33%13.863%13.9%4-1.000000x-1.000000x1.602673x1.602673x1.60x8.833%8.83%14.156%14.2%5-1.000000x-1.000000x1.546982x1.546982x1.55x5.231%5.23%8.092%8.09%6-1.000000x-1.000000x1.540250x1.540250x1.54x6.356%6.36%9.790%9.79%-1.000000x-1.000000x1.523665x1.523665x1.52x3.623%3.62%5.520%5.52%7-1.000000x-1.000000x1.504147x1.504147x1.50x5.699%5.70%8.571%8.57%-1.000000x-1.000000x1.497578x1.497578x1.50x2.613%2.61%3.913%3.91%8-1.000000x-1.000000x1.465883x1.465883x1.47x2.556%2.56%3.746%3.75%9-1.000000x-1.000000x1.458274x1.458274x1.46x2.837%2.84%4.137%4.14%10-1.000000x-1.000000x1.400641x1.400641x1.40x5.340%5.34%7.480%7.48%11-1.000000x-1.000000x1.342953x1.342953x1.34x11.588%11.6%15.562%15.6%12-1.000000x-1.000000x1.332375x1.332375x1.33x9.065%9.06%12.078%12.1%13-1.000000x-1.000000x1.325095x1.325095x1.33x6.241%6.24%8.269%8.27%14-1.000000x-1.000000x1.294060x1.294060x1.29x5.235%5.24%6.775%6.77%15-1.000000x-1.000000x1.243891x1.243891x1.24x6.381%6.38%7.938%7.94%16-1.000000x-1.000000x1.223367x1.223367x1.22x7.524%7.52%9.205%9.20%-1.000000x-1.000000x1.200773x1.200773x1.20x9.692%9.69%11.638%11.6%17-1.000000x-1.000000x1.197756x1.197756x1.20x12.460%12.5%14.924%14.9%18-1.000000x-1.000000x1.167823x1.167823x1.17x7.024%7.02%8.203%8.20%19-1.000000x-1.000000x1.164084x1.164084x1.16x10.144%10.1%11.809%11.8%20-1.000000x-1.000000x1.148127x1.148127x1.15x7.631%7.63%8.762%8.76%21-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%22-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.076663x1.076663x1.08x7.550%7.55%8.128%8.13%-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.039295x1.039295x1.04x9.216%9.22%9.578%9.58%24-1.000000x-1.000000x1.036427x1.036427x1.04x10.244%10.2%10.617%10.6%-1.000000x-1.000000x1.030940x1.030940x1.03x10.406%10.4%10.728%10.7%25-1.000000x-1.000000x1.025433x1.025433x1.03x8.241%8.24%8.451%8.45%26-1.000000x-1.000000x1.014799x1.014799x1.01x7.709%7.71%7.823%7.82%27-1.000000x-1.000000x1.000878x1.000878x1.00x6.778%6.78%6.783%6.78%28-1.031312x-1.031312x1.03x1.000000x1.000000x7.641%7.64%7.409%7.41%29-1.099190x-1.099190x1.10x1.000000x1.000000x13.067%13.1%11.888%11.9%30-1.104492x-1.104492x1.10x1.000000x1.000000x12.853%12.9%11.637%11.6%31-1.105478x-1.105478x1.11x1.000000x1.000000x25.357%25.4%22.938%22.9%32-1.116541x-1.116541x1.12x1.000000x1.000000x8.571%8.57%7.677%7.68%33-1.165574x-1.165574x1.17x1.000000x1.000000x5.712%5.71%4.900%4.90%34-1.170245x-1.170245x1.17x1.000000x1.000000x30.140%30.1%25.755%25.8%35-1.186208x-1.186208x1.19x1.000000x1.000000x16.688%16.7%14.068%14.1%36-1.230706x-1.230706x1.23x1.000000x1.000000x7.019%7.02%5.703%5.70%37-1.269553x-1.269553x1.27x1.000000x1.000000x13.565%13.6%10.685%10.7%38-1.315469x-1.315469x1.32x1.000000x1.000000x6.476%6.48%4.923%4.92%39-1.490621x-1.490621x1.49x1.000000x1.000000x12.299%12.3%8.251%8.25%40-1.575961x-1.575961x1.58x1.000000x1.000000x5.606%5.61%3.557%3.56%41-1.609043x-1.609043x1.61x1.000000x1.000000x10.638%10.6%6.612%6.61%42-1.742340x-1.742340x1.74x1.000000x1.000000x9.624%9.62%5.524%5.52%43-1.792105x-1.792105x1.79x1.000000x1.000000x9.609%9.61%5.362%5.36%44-1.831006x-1.831006x1.83x1.000000x1.000000x11.173%11.2%6.102%6.10%45-1.967738x-1.967738x1.97x1.000000x1.000000x12.752%12.8%6.481%6.48%46-1.997283x-1.997283x2.00x1.000000x1.000000x6.250%6.25%3.129%3.13%47-2.292324x-2.292324x2.29x1.000000x1.000000x10.807%10.8%4.714%4.71%48-4.292021x-4.292021x4.29x1.000000x1.000000x5.106%5.11%1.190%1.19%49-4.604254x-4.604254x4.60x1.000000x1.000000x13.088%13.1%2.843%2.84%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in the Scranton Area, and entities that contain the Monroe Township
Female
Male
10x5x0x5x10xFM#HazleCarbondaleOld ForgeArchbaldWest HazletonSalemJeffersonFreelandKingstonJenkinsBlakelyThroopPittstonPittstonWest PittstonScottExeterJessupWrightDallasFairviewClarks SummitLarksvilleTract 400700S AbingtonKingstonPlainsEdwardsvilleOlyphantButlerScranton AreaTunkhannockScrantonPennsylvaniaWyomingNanticokeNewportUnited StatesMiddle AtlanticNortheastDunmoreSugarloafWilkes-BarrePlymouthLehmanForty FortTunkhannockRice TownshipMonroeMoosicTaylorHanoverJacksonSwoyersvilleHazletonWyomingDickson CityDuryeaFoster-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.331%1.33%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.622%1.62%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.588%2.59%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.624%4.62%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.477%0.48%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.045%3.05%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.009%1.01%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.111%1.11%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.448%0.45%6.783%6.78%9-1.000000x-1.000000x7.044932x7.044932x7.04x0.480%0.48%3.379%3.38%10-1.000000x-1.000000x5.712078x5.712078x5.71x0.437%0.44%2.499%2.50%11-1.000000x-1.000000x4.603989x4.603989x4.60x0.743%0.74%3.419%3.42%12-1.000000x-1.000000x4.549051x4.549051x4.55x0.139%0.14%0.633%0.63%13-1.000000x-1.000000x4.090641x4.090641x4.09x0.639%0.64%2.614%2.61%14-1.000000x-1.000000x3.846417x3.846417x3.85x1.542%1.54%5.931%5.93%15-1.000000x-1.000000x3.729573x3.729573x3.73x0.499%0.50%1.862%1.86%16-1.000000x-1.000000x3.561086x3.561086x3.56x1.222%1.22%4.353%4.35%17-1.000000x-1.000000x3.334367x3.334367x3.33x1.369%1.37%4.565%4.56%18-1.000000x-1.000000x3.313560x3.313560x3.31x2.731%2.73%9.048%9.05%19-1.000000x-1.000000x2.938369x2.938369x2.94x2.469%2.47%7.254%7.25%20-1.000000x-1.000000x2.732653x2.732653x2.73x2.913%2.91%7.959%7.96%21-1.000000x-1.000000x2.713066x2.713066x2.71x3.786%3.79%10.272%10.3%22-1.000000x-1.000000x2.534653x2.534653x2.53x1.667%1.67%4.224%4.22%23-1.000000x-1.000000x2.401775x2.401775x2.40x0.961%0.96%2.308%2.31%-1.000000x-1.000000x2.384428x2.384428x2.38x4.432%4.43%10.567%10.6%24-1.000000x-1.000000x2.355563x2.355563x2.36x3.109%3.11%7.323%7.32%25-1.000000x-1.000000x2.027778x2.027778x2.03x1.948%1.95%3.950%3.95%26-1.000000x-1.000000x1.943026x1.943026x1.94x1.453%1.45%2.822%2.82%27-1.000000x-1.000000x1.918782x1.918782x1.92x1.667%1.67%3.198%3.20%28-1.000000x-1.000000x1.905933x1.905933x1.91x2.568%2.57%4.895%4.90%29-1.000000x-1.000000x1.893686x1.893686x1.89x1.568%1.57%2.970%2.97%-1.000000x-1.000000x1.873615x1.873615x1.87x0.927%0.93%1.738%1.74%-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%30-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.590123x1.590123x1.59x1.022%1.02%1.625%1.63%-1.000000x-1.000000x1.584298x1.584298x1.58x1.148%1.15%1.818%1.82%31-1.000000x-1.000000x1.536418x1.536418x1.54x0.309%0.31%0.474%0.47%32-1.000000x-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-1.000000x1.445497x1.445497x1.45x3.047%3.05%4.404%4.40%33-1.000000x-1.000000x1.302573x1.302573x1.30x2.883%2.88%3.756%3.76%34-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%35-1.000000x-1.000000x1.197718x1.197718x1.20x0.849%0.85%1.016%1.02%36-1.000000x-1.000000x1.169470x1.169470x1.17x2.928%2.93%3.424%3.42%37-1.000000x-1.000000x1.076879x1.076879x1.08x3.842%3.84%4.137%4.14%38-1.000000x-1.000000x1.051122x1.051122x1.05x0.593%0.59%0.623%0.62%39-1.000000x-1.000000x1.043320x1.043320x1.04x8.440%8.44%8.806%8.81%40-1.000000x-1.000000x1.036190x1.036190x1.04x0.735%0.74%0.762%0.76%-1.063859x-1.063859x1.06x1.000000x1.000000x1.630%1.63%1.533%1.53%41-1.084904x-1.084904x1.08x1.000000x1.000000x0.901%0.90%0.831%0.83%42-1.192787x-1.192787x1.19x1.000000x1.000000x1.389%1.39%1.165%1.16%43-1.347633x-1.347633x1.35x1.000000x1.000000x4.148%4.15%3.078%3.08%44-1.461026x-1.461026x1.46x1.000000x1.000000x1.897%1.90%1.299%1.30%45-1.507486x-1.507486x1.51x1.000000x1.000000x1.171%1.17%0.776%0.78%46-1.703713x-1.703713x1.70x1.000000x1.000000x1.533%1.53%0.900%0.90%47-3.487544x-3.487544x3.49x1.000000x1.000000x2.491%2.49%0.714%0.71%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.099%1.10%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.358%1.36%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares the Monroe Township to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with the Monroe Township. 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 the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemWyoming CountyWyomingRidley TownshipRidley400700Tract 400700Manheim TownshipManheimPittsburghTunkhannock Area School DistrictTunkhannockFalls TownshipFallsHempfield TownshipHempfieldMonroe TownshipMonroePenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbingtonMonroevillePlumUpper Merion TownshipUpper MerionCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k10.423339%10.423339%10.4%41,30341.3k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.353634%8.353634%8.4%1,6468.175269%8.175269%8.2%1,793208.120733%8.120733%8.1%2268.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.836693%7.836693%7.8%1,0737.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260247.109448%7.109448%7.1%766.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterTunkhannock Area School DistrictTunkhannockWyoming CountyWyomingHarrisburgAltoona400700Tract 400700Wilkes-BarreMonroe TownshipMonroeAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1052.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2038.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032830.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603623.410430%23.410430%23.4%92,76592.8k21.774534%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%7,2904219.018405%19.018405%19.0%2,60418.600284%18.600284%18.6%3,66518.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854416.133669%16.133669%16.1%44915.721339%15.721339%15.7%4,0444515.528531%15.528531%15.5%16615.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
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 HlsScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN Huntingdon400700Tract 400700AllentownEriePlumNorristownTunkhannock Area School DistrictTunkhannockWyoming CountyWyomingFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkMonroe TownshipMonroeChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53378.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155164.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731342.241991%2.241991%2.2%8,8841.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.652893%1.652893%1.7%461.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.329243%1.329243%1.3%1821.319529%1.319529%1.3%2601.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.748363%0.748363%0.7%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 the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
Female
Male
2x1x0x1x2xFM#RadnorShalerTract 400700MonroeAltoonaMt LebanonCheltenhamFallsHempfieldBristolWyomingChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaTunkhannockNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownScranton AreaReadingEriePlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.540250x1.540250x1.54x6.356%6.36%9.790%9.79%-1.000000x-1.000000x1.504147x1.504147x1.50x5.699%5.70%8.571%8.57%-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%6-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%7-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%8-1.000000x-1.000000x1.223367x1.223367x1.22x7.524%7.52%9.205%9.20%-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.076663x1.076663x1.08x7.550%7.55%8.128%8.13%-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-1.000000x1.036427x1.036427x1.04x10.244%10.2%10.617%10.6%-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%42-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%43-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%44-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%45-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%46-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%47-1.583597x-1.583597x1.58x1.000000x1.000000x3.691%3.69%2.330%2.33%48-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in Pennsylvania, and entities that contain the Monroe Township
Female
Male
1x0x1x2x3x4xFM#FallsSpgChesterLower PaxtonTract 400700HampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemScranton AreaUpper MerionTunkhannockLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPennsylvaniaHaverfordWyomingManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterMonroePlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.401775x2.401775x2.40x0.961%0.96%2.308%2.31%-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.893686x1.893686x1.89x1.568%1.57%2.970%2.97%-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%21-1.000000x-1.000000x1.873615x1.873615x1.87x0.927%0.93%1.738%1.74%-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-1.000000x1.590123x1.590123x1.59x1.022%1.02%1.625%1.63%-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%34-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%35-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%36-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%37-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%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%45-1.000000x-1.000000x1.036190x1.036190x1.04x0.735%0.74%0.762%0.76%-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Northeast

There are 5,785 county subdivisions in the Northeast. This section compares the Monroe Township to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with the Monroe Township. 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 the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenWyoming CountyWyoming400700Tract 400700PittsburghEdison TownshipEdisonTunkhannock Area School DistrictTunkhannockToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghMonroe TownshipMonroeCambridgeTown of Oyster BayOyster BayTown of AmherstAmherstTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.423339%10.423339%10.4%41,30341.3k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.353634%8.353634%8.4%1,6468.120733%8.120733%8.1%2268.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.836693%7.836693%7.8%1,0737.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660467.109448%7.109448%7.1%765.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.592814%4.592814%4.6%3,835494.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattanEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaLowellErieLynnBronxTunkhannock Area School DistrictTunkhannockWyoming CountyWyomingTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartford400700Tract 400700New BedfordMonroe TownshipMonroeAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k354.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1438.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3623.410430%23.410430%23.4%92,76592.8k22.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4019.018405%19.018405%19.0%2,60418.600284%18.600284%18.6%3,66517.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4416.133669%16.133669%16.1%44915.806950%15.806950%15.8%10,23510.2k4515.528531%15.528531%15.5%16615.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
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 GreeceGreeceScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronx400700Tract 400700AllentownTown of BabylonBabylonErieSpringfieldTunkhannock Area School DistrictTunkhannockWyoming CountyWyomingLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonMonroe TownshipMonroePaterson19.696596%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%1,596332.241991%2.241991%2.2%8,8842.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.652893%1.652893%1.7%461.607050%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%1,401431.329243%1.329243%1.3%1821.319529%1.319529%1.3%2601.189570%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%636490.748363%0.748363%0.7%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 the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#Tract 400700MonroeStamfordGreenburghSpringfieldWyomingNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethTunkhannockNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordScranton AreaErieBronxLakewoodBrooklynPatersonStaten IslandAlbanyBrocktonBostonQueensManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.540250x1.540250x1.54x6.356%6.36%9.790%9.79%-1.000000x-1.000000x1.504147x1.504147x1.50x5.699%5.70%8.571%8.57%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.223367x1.223367x1.22x7.524%7.52%9.205%9.20%-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.076663x1.076663x1.08x7.550%7.55%8.128%8.13%-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-1.000000x1.036427x1.036427x1.04x10.244%10.2%10.617%10.6%-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in the Northeast, and entities that contain the Monroe Township
Female
Male
1x0x1x2xFM#LakewoodTract 400700AllentownScranton AreaTunkhannockToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPennsylvaniaWyomingElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterMonroeBrockton-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.401775x2.401775x2.40x0.961%0.96%2.308%2.31%-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.893686x1.893686x1.89x1.568%1.57%2.970%2.97%-1.000000x-1.000000x1.873615x1.873615x1.87x0.927%0.93%1.738%1.74%-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-1.000000x1.590123x1.590123x1.59x1.022%1.02%1.625%1.63%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%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%49-1.000000x-1.000000x1.036190x1.036190x1.04x0.735%0.74%0.762%0.76%-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Monroe Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Monroe Township. 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 the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
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 VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantWyoming CountyWyoming400700Tract 400700Tunkhannock Area School DistrictTunkhannockMonroe TownshipMonroePlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.423339%10.423339%10.4%41,30341.3k10.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k488.353634%8.353634%8.4%1,6468.120733%8.120733%8.1%2267.836693%7.836693%7.8%1,0737.109448%7.109448%7.1%765.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaFresnoLas VegasEl PasoBronxTunkhannock Area School DistrictTunkhannockWyoming CountyWyomingSan Bernardino400700Tract 400700Monroe TownshipMonroeSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4323.410430%23.410430%23.4%92,76592.8k22.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4719.018405%19.018405%19.0%2,60418.600284%18.600284%18.6%3,66516.375473%16.375473%16.4%80,59580.6k4816.133669%16.133669%16.1%44915.528531%15.528531%15.5%16614.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
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 VlyOntarioScranton, Wilkes, Barre, and Hazleton Metro AreaScranton AreaFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronx400700Tract 400700Tunkhannock Area School DistrictTunkhannockWyoming CountyWyomingDetroitMonroe TownshipMonroe12.461852%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%9,688412.241991%2.241991%2.2%8,8842.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.652893%1.652893%1.7%461.329243%1.329243%1.3%1821.319529%1.319529%1.3%2601.318660%1.318660%1.3%5,693500.748363%0.748363%0.7%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 the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#Tract 400700Monroe1, CharlotteDetroitWyomingBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinTunkhannockNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisScranton AreaBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.540250x1.540250x1.54x6.356%6.36%9.790%9.79%-1.000000x-1.000000x1.504147x1.504147x1.50x5.699%5.70%8.571%8.57%-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-1.000000x1.223367x1.223367x1.22x7.524%7.52%9.205%9.20%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.076663x1.076663x1.08x7.550%7.55%8.128%8.13%-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-1.000000x1.036427x1.036427x1.04x10.244%10.2%10.617%10.6%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
1x0x1x2xFM#Tract 400700El PasoSalt Lk CityScranton AreaTunkhannockPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPennsylvaniaTucson1, CharlotteWyomingNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitMonroe-1.000000x-1.000000x2.401775x2.401775x2.40x0.961%0.96%2.308%2.31%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.893686x1.893686x1.89x1.568%1.57%2.970%2.97%-1.000000x-1.000000x1.873615x1.873615x1.87x0.927%0.93%1.738%1.74%-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-1.000000x1.590123x1.590123x1.59x1.022%1.02%1.625%1.63%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%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%50-1.000000x-1.000000x1.036190x1.036190x1.04x0.735%0.74%0.762%0.76%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Wyoming
Metro Area:
Scranton Area
ZIP Codes:
18612, 18618, 18636, 18657
Unified School District:
Tunkhannock
Congressional District:
PA-11
State Senate District:
PA-20
State House District:
PA-117
Neighboring Boroughs:
Harveys Lake
Neighboring Townships:
Dallas, Eaton, Franklin, Northmoreland, Noxen
Neighboring Unincorporated Places:
Noxen
Nearby Townships:
Exeter, Exeter, Falls, Forkston, Kingston, Lake, Lehman, Tunkhannock