Educational Attainment in the Webster Township, Wood County, Ohio (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wood County and the Webster Township
Webster Township
Wood County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.958231%41.942735%30.958231%31.0%25265.479115%52.137385%65.479115%65.5%5333.562654%5.919879%3.562654%3.6%29
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 Wood County at large.
Scope: population of Wood County and the Webster Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-26.189289%-26.189289%-26.2%30.958%31.0%41.943%41.9%25.589565%25.589565%+25.6%65.479%65.5%52.137%52.1%-39.818816%-39.818816%-39.8%3.563%3.56%5.920%5.92%
% percentage with given level in the Webster Township
ref. percentage with given level in Wood 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 Wood County and the Webster Township
Webster Township
Wood County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.859951%1.882456%0.859951%0.9%70.737101%1.717945%0.737101%0.7%66.388206%9.853070%6.388206%6.4%5212.776413%18.229311%12.776413%12.8%10410.196560%10.259952%10.196560%10.2%8319.287469%20.727113%19.287469%19.3%15746.191646%31.410273%46.191646%46.2%3760.000000%0.000000%0.0%4.687932%03.562654%0.782368%3.562654%3.6%290.000000%0.000000%0.0%0.449579%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Wood County at large.
Scope: population of Wood County and the Webster Township
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-54.317620%-54.317620%-54.3%0.860%0.86%1.882%1.88%-57.094056%-57.094056%-57.1%0.737%0.74%1.718%1.72%-35.165323%-35.165323%-35.2%6.388%6.39%9.853%9.85%-29.912803%-29.912803%-29.9%12.776%12.8%18.229%18.2%-0.617859%-0.617859%-0.6%10.197%10.2%10.260%10.3%-6.945703%-6.945703%-6.9%19.287%19.3%20.727%20.7%47.059043%47.059043%+47.1%46.192%46.2%31.410%31.4%-100.000000%-100.000000%-100.0%0.000%0%4.688%4.69%355.367742%355.367742%+355.4%3.563%3.56%0.782%0.78%-100.000000%-100.000000%-100.0%0.000%0%0.450%0.45%
% percentage with given level in the Webster Township
ref. percentage with given level in Wood 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 Wood County and the Webster Township
More Females More Males
Wood County
Webster Township
50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-96.728945%-11.123157%-96.728945%97%40.821%40.8%20.750%20.8%34.282328%9.881196%34.282328%34%56.039%56.0%75.250%75.3%-8.878992%27.384615%27.384615%27%3.140%3.14%4.000%4.00%
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 Wood County and the Webster Township
More Females More Males
Wood County
Webster Township
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Less than H.S.3-1,000.000000%-1,000.000000%> 1000%41.181104%1.691%1.69%0.000%0%1,000.000000%98.193169%1,000.000000%> 1000%0.000%0%1.500%1.50%-138.325282%-28.226834%-138.325282%0k%8.937%8.94%3.750%3.75%-394.458653%-1.185932%-394.458653%0k%21.014%21.0%4.250%4.25%-42.189722%22.565789%22.565789%0k%9.179%9.18%11.250%11.3%-20.082816%-20.082816%0k%13.369829%21.014%21.0%17.500%17.5%64.886207%7.639307%64.886207%0k%35.024%35.0%57.750%57.8%-22.812506%27.384615%27.384615%0k%3.140%3.14%4.000%4.00%
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 Wood County and the Webster Township
Webster Township
Wood County
0%5%10%15%20%B.X.Total65+45-6435-4425-3412.500000%12.130966%12.500000%12.5%1713613.563218%16.734835%13.563218%13.6%594354.201681%21.918472%4.201681%4.2%511918.548387%24.998374%18.548387%18.5%23124
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 Wood County at large.
Scope: population of Wood County and the Webster Township
80%60%40%20%0%%ref.65+45-6435-4425-343.042086%3.042086%3.0%12.500%12.5%12.131%12.1%-18.952184%-18.952184%19.0%13.563%13.6%16.735%16.7%-80.830412%-80.830412%80.8%4.202%4.20%21.918%21.9%-25.801626%-25.801626%25.8%18.548%18.5%24.998%25.0%
% percentage in the Webster Township with a Bachelor's degree
ref percentage in Wood 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 Wood County and the Webster Township
More Females More Males
Wood County
Webster Township
1,000%500%0%FM65+45-6435-4425-34-47.121535%-47.121535%47.1%29.025776%14.925%14.9%10.145%10.1%-1,000.000000%-1,000.000000%> 1000%1.710327%25.431%25.4%0.000%0%-1,000.000000%-28.954366%-1,000.000000%> 1000%9.804%9.80%0.000%0%-21.875000%-11.160266%-21.875000%21.9%20.313%20.3%16.667%16.7%
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 Wood County and the Webster Township
Webster Township
Wood County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$50,682.000000$61,152.000000$50,682.000000$50.7k657.985%7.99%$19,000.000000$51,395.000000$19,000.000000$19.0k10412.776%12.8%$35,368.000000$35,007.000000$35,368.000000$35.4k24029.484%29.5%$39,917.000000$29,852.000000$39,917.000000$39.9k37646.192%46.2%$37,759.000000$38,821.000000$37,759.000000$37.8k814100.000%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 Wood County and the Webster Township
Female Male
Wood County
Webster Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40k$60kFMSome CollegeTotal$-20,962.000000$-28,667.000000$-20,962.000000$21.0k$20,962.000000$40,645.000000$28,667.000000$15,598.000000$61,607.000000$61.6k125115$-22,163.000000$-31,501.000000$-22,163.000000$22.2k$22,163.000000$32,239.000000$31,501.000000$15,379.000000$54,402.000000$54.4k414400
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 Wood County and the Webster Township
Webster Township
Wood County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.805556%85.687267%86.805556%86.8%12584.324324%78.079614%84.324324%84.3%15657.187500%72.010444%57.187500%57.2%1830.000000%0.000000%0.0%45.821671%0
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 Wood County and the Webster Township
Female Male
Wood County
Webster Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%MFWhite1-3.140097%-5.080237%-0.679606%-3.140097%3.1%3.140097%0.859903%5.080237%4.000000%4.0%1613
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 Wood County and the Webster Township
Female Male
Wood County
Webster Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1-9.500000%-22.142512%-30.665384%-1.421001%-31.642512%31.6%9.500000%30.665384%9.500000%9.5%38131
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 Toledo Area

There are 53 county subdivisions in the Toledo Area. This section compares the Webster Township to the 50 most populous county subdivisions in the Toledo Area and to those entities that contain or substantially overlap with the Webster Township. The least populous of the compared county subdivisions has a population of 883.

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 Webster Township, selected other county subdivisions in the Toledo Area, and entities that contain the Webster Township
0%5%10%15%Count#Washington TownshipWashingtonJackson TownshipJacksonToledoDover TownshipDoverClinton TownshipClintonUnited States of AmericaUnited StatesRoyalton TownshipRoyaltonFostoriaPortage TownshipPortageEast North CentralWeston TownshipWestonOhioMilton TownshipMiltonMidwestGerman TownshipGermanToledo Metro AreaToledo AreaChesterfield TownshipChesterfieldOregonNorthwoodGorham TownshipGorhamLiberty TownshipLibertySwanton TownshipSwantonBloom TownshipBloomSpencer TownshipSpencerPlain TownshipPlainHenry TownshipHenryFulton TownshipFultonMontgomery TownshipMontgomeryPerry TownshipPerrySwan Creek TownshipSwan CrkLake TownshipGrand Rapids TownshipGrand RapidsPike TownshipSpringfield TownshipSpringfieldJerusalem TownshipJerusalemYork TownshipBowling GreenWood CountyWoodCenter TownshipCtrRossfordPerrysburg TownshipPerrysburgAmboy TownshipAmboyProvidence TownshipProvidenceSylvania TownshipSylvaniaMonclova TownshipMonclovaMaumeeRoche de Boeuf TownshipRoche de BoeufRichfield TownshipRichfieldTroy TownshipOttawa HillsWashington TownshipWashingtonWebster TownshipWebsterEastwood Local School DistrictEastwood021100Tract 021100Freedom TownshipFreedomPerrysburgMiddleton TownshipMiddletonWaterville TownshipWaterville16.709622%16.709622%16.7%389114.387211%14.387211%14.4%81214.332972%14.332972%14.3%26,34326.3k313.746370%13.746370%13.7%142413.611644%13.611644%13.6%851513.020590%13.020590%13.0%27,818,38027.8M12.711864%12.711864%12.7%135611.894273%11.894273%11.9%81711.191336%11.191336%11.2%124810.719464%10.719464%10.7%3,363,7843.36M10.709759%10.709759%10.7%169910.514146%10.514146%10.5%825,155825k10.330579%10.330579%10.3%751010.244520%10.244520%10.2%4,641,8354.64M10.073214%10.073214%10.1%3991110.029971%10.029971%10.0%39,95840.0k9.971910%9.971910%10.0%71129.837486%9.837486%9.8%1,362139.754852%9.754852%9.8%382149.573725%9.573725%9.6%137159.411765%9.411765%9.4%120169.297052%9.297052%9.3%205178.894090%8.894090%8.9%152188.614865%8.614865%8.6%102198.481675%8.481675%8.5%81208.255857%8.255857%8.3%222217.984791%7.984791%8.0%168227.945205%7.945205%7.9%232237.844905%7.844905%7.8%87247.316675%7.316675%7.3%448257.199900%7.199900%7.2%577267.142857%7.142857%7.1%77276.954612%6.954612%7.0%95286.714736%6.714736%6.7%1,192296.571301%6.571301%6.6%147306.214489%6.214489%6.2%175316.072332%6.072332%6.1%816325.919879%5.919879%5.9%4,7145.657895%5.657895%5.7%43335.206881%5.206881%5.2%224344.974330%4.974330%5.0%436354.811899%4.811899%4.8%55364.519071%4.519071%4.5%109374.322119%4.322119%4.3%1,462384.313680%4.313680%4.3%368394.247697%4.247697%4.2%415404.135853%4.135853%4.1%151413.882657%3.882657%3.9%45423.875094%3.875094%3.9%103433.830508%3.830508%3.8%113443.771044%3.771044%3.8%56453.562654%3.562654%3.6%29463.485209%3.485209%3.5%2053.378627%3.378627%3.4%923.300157%3.300157%3.3%63472.887047%2.887047%2.9%411482.481305%2.481305%2.5%73491.905941%1.905941%1.9%7750
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 Webster Township, selected other county subdivisions in the Toledo Area, and entities that contain the Webster Township
0%20%40%60%Count#Ottawa HillsPerrysburgMonclova TownshipMonclovaSylvania TownshipSylvaniaCenter TownshipCtrPlain TownshipPlainBowling GreenMiddleton TownshipMiddletonRoche de Boeuf TownshipRoche de BoeufWaterville TownshipWatervilleMaumeeSpringfield TownshipSpringfieldPerrysburg TownshipPerrysburgPortage TownshipPortageWood CountyWoodFreedom TownshipFreedomUnited States of AmericaUnited StatesWashington TownshipWashingtonMidwestEast North Central021100Tract 021100OhioToledo Metro AreaToledo AreaRossfordGerman TownshipGermanEastwood Local School DistrictEastwoodGrand Rapids TownshipGrand RapidsProvidence TownshipProvidenceTroy TownshipWebster TownshipWebsterRichfield TownshipRichfieldYork TownshipOregonSpencer TownshipSpencerLake TownshipToledoClinton TownshipClintonJerusalem TownshipJerusalemFulton TownshipFultonWashington TownshipWashingtonLiberty TownshipLibertyMilton TownshipMiltonPerry TownshipPerryBloom TownshipBloomJackson TownshipJacksonSwan Creek TownshipSwan CrkNorthwoodAmboy TownshipAmboyRoyalton TownshipRoyaltonWeston TownshipWestonSwanton TownshipSwantonGorham TownshipGorhamChesterfield TownshipChesterfieldFostoriaHenry TownshipHenryPike TownshipDover TownshipDoverMontgomery TownshipMontgomery77.423729%77.423729%77.4%2,284151.046642%51.046642%51.0%7,267246.454109%46.454109%46.5%3,963346.115414%46.115414%46.1%15,59915.6k444.868421%44.868421%44.9%341542.513089%42.513089%42.5%406642.357494%42.357494%42.4%5,692741.298436%41.298436%41.3%1,215840.810737%40.810737%40.8%1,490937.871287%37.871287%37.9%1,5301037.062436%37.062436%37.1%3,6211136.407165%36.407165%36.4%6,4631234.649173%34.649173%34.6%3,0371331.949458%31.949458%31.9%3541431.682783%31.682783%31.7%25,22925.2k30.958617%30.958617%31.0%5911530.315023%30.315023%30.3%64,767,78764.8M29.764310%29.764310%29.8%4421628.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.910393%27.910393%27.9%76026.667466%26.667466%26.7%2,092,8752.09M25.829974%25.829974%25.8%102,903103k25.801953%25.801953%25.8%1,1101725.776319%25.776319%25.8%1,0211825.212513%25.212513%25.2%1,48323.933210%23.933210%23.9%2581922.512438%22.512438%22.5%5432020.993228%20.993228%21.0%5582120.761671%20.761671%20.8%1692220.707506%20.707506%20.7%2402318.785511%18.785511%18.8%5292418.331528%18.331528%18.3%2,5382518.327703%18.327703%18.3%2172618.118293%18.118293%18.1%1,4522718.048021%18.048021%18.0%33,17133.2k2817.690339%17.690339%17.7%1,1062917.523469%17.523469%17.5%3923017.300380%17.300380%17.3%3643116.323024%16.323024%16.3%3803216.313725%16.313725%16.3%2083316.115702%16.115702%16.1%1173416.050496%16.050496%16.1%1783515.974254%15.974254%16.0%2733615.630551%15.630551%15.6%883715.547934%15.547934%15.5%9523815.500511%15.500511%15.5%6073913.998250%13.998250%14.0%1604013.935970%13.935970%13.9%1484113.434728%13.434728%13.4%2124212.789116%12.789116%12.8%2824312.718379%12.718379%12.7%1824412.219101%12.219101%12.2%874512.041116%12.041116%12.0%824611.268129%11.268129%11.3%3034710.834553%10.834553%10.8%148489.680542%9.680542%9.7%100499.212329%9.212329%9.2%26950
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 Webster Township, selected other county subdivisions in the Toledo Area, and entities that contain the Webster Township
0%5%10%15%Count#Ottawa HillsSylvania TownshipSylvaniaMonclova TownshipMonclovaPlain TownshipPlainMiddleton TownshipMiddletonPerrysburgBowling GreenPerrysburg TownshipPerrysburgSpringfield TownshipSpringfieldPike TownshipRossfordWood CountyWoodCenter TownshipCtrWaterville TownshipWatervilleUnited States of AmericaUnited StatesRoche de Boeuf TownshipRoche de BoeufMaumeeToledo Metro AreaToledo AreaMidwestEast North CentralOhioRichfield TownshipRichfieldFreedom TownshipFreedomJerusalem TownshipJerusalem021100Tract 021100Fulton TownshipFultonPortage TownshipPortageGrand Rapids TownshipGrand RapidsProvidence TownshipProvidenceEastwood Local School DistrictEastwoodSwan Creek TownshipSwan CrkOregonToledoWebster TownshipWebsterClinton TownshipClintonMilton TownshipMiltonLiberty TownshipLibertyLake TownshipGorham TownshipGorhamRoyalton TownshipRoyaltonSpencer TownshipSpencerGerman TownshipGermanTroy TownshipDover TownshipDoverYork TownshipWashington TownshipWashingtonMontgomery TownshipMontgomerySwanton TownshipSwantonPerry TownshipPerryWashington TownshipWashingtonAmboy TownshipAmboyHenry TownshipHenryNorthwoodWeston TownshipWestonBloom TownshipBloomFostoriaChesterfield TownshipChesterfieldJackson TownshipJackson19.728814%19.728814%19.7%58217.470585%7.470585%7.5%2,52726.798734%6.798734%6.8%58036.387435%6.387435%6.4%6146.254249%6.254249%6.3%18456.019949%6.019949%6.0%85765.789552%5.789552%5.8%77874.883058%4.883058%4.9%42884.467102%4.467102%4.5%79394.099561%4.099561%4.1%56103.788935%3.788935%3.8%163113.600402%3.600402%3.6%2,8673.552632%3.552632%3.6%27123.514851%3.514851%3.5%142133.336158%3.336158%3.3%7,127,6737.13M3.231991%3.231991%3.2%118143.193449%3.193449%3.2%312152.958688%2.958688%3.0%11,78711.8k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.588438%2.588438%2.6%30162.357255%2.357255%2.4%45172.235136%2.235136%2.2%50182.130004%2.130004%2.1%582.091255%2.091255%2.1%44192.075812%2.075812%2.1%23202.040816%2.040816%2.0%22211.990050%1.990050%2.0%48221.955117%1.955117%2.0%1151.780173%1.780173%1.8%109231.733478%1.733478%1.7%240241.642065%1.642065%1.6%3,018251.597052%1.597052%1.6%13261.535509%1.535509%1.5%96271.515152%1.515152%1.5%11281.490196%1.490196%1.5%19291.434989%1.434989%1.4%115301.397624%1.397624%1.4%20311.318267%1.318267%1.3%14321.182432%1.182432%1.2%14331.161323%1.161323%1.2%46341.091046%1.091046%1.1%29351.064860%1.064860%1.1%11361.029830%1.029830%1.0%29371.010101%1.010101%1.0%15380.958904%0.958904%1.0%28390.816327%0.816327%0.8%18400.811542%0.811542%0.8%9410.730241%0.730241%0.7%17420.524934%0.524934%0.5%6430.520640%0.520640%0.5%14440.434116%0.434116%0.4%17450.316857%0.316857%0.3%5460.234055%0.234055%0.2%4470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Webster Township, selected other county subdivisions in the Toledo Area, and entities that contain the Webster Township
Female
Male
6x4x2x0x2x4xFM#MiltonJacksonRoyaltonWashingtonRossfordMiddletonFostoriaBloomDoverGorhamMaumeePortageMontgomeryGermanSpencerWebsterToledoEastwoodSwantonPike TownshipMidwestToledo AreaEast North CentralYork TownshipUnited StatesOhioTroy TownshipLake TownshipWatervilleMonclovaSwan CrkSpringfieldFultonTract 021100CtrPerrysburgOttawa HillsSylvaniaWashingtonClintonWoodFreedomGrand RapidsHenryJerusalemAmboyOregonWestonBowling GreenRoche de BoeufNorthwoodRichfieldChesterfieldPerrysburgPerryLibertyProvidencePlain-1.000000x-1.000000x4.247596x4.247596x4.25x3.801%3.80%16.146%16.1%1-1.000000x-1.000000x3.112416x3.112416x3.11x6.792%6.79%21.141%21.1%2-1.000000x-1.000000x2.556031x2.556031x2.56x7.209%7.21%18.426%18.4%3-1.000000x-1.000000x2.273504x2.273504x2.27x2.338%2.34%5.315%5.31%4-1.000000x-1.000000x2.007090x2.007090x2.01x3.469%3.47%6.963%6.96%5-1.000000x-1.000000x1.846081x1.846081x1.85x1.765%1.76%3.258%3.26%6-1.000000x-1.000000x1.810998x1.810998x1.81x8.672%8.67%15.705%15.7%7-1.000000x-1.000000x1.700300x1.700300x1.70x6.580%6.58%11.189%11.2%8-1.000000x-1.000000x1.694726x1.694726x1.69x10.413%10.4%17.647%17.6%9-1.000000x-1.000000x1.638480x1.638480x1.64x7.205%7.20%11.805%11.8%10-1.000000x-1.000000x1.497052x1.497052x1.50x3.435%3.44%5.143%5.14%11-1.000000x-1.000000x1.396912x1.396912x1.40x9.294%9.29%12.982%13.0%12-1.000000x-1.000000x1.388340x1.388340x1.39x6.671%6.67%9.262%9.26%13-1.000000x-1.000000x1.358015x1.358015x1.36x8.649%8.65%11.745%11.7%14-1.000000x-1.000000x1.314560x1.314560x1.31x7.524%7.52%9.890%9.89%15-1.000000x-1.000000x1.273846x1.273846x1.27x3.140%3.14%4.000%4.00%16-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%17-1.000000x-1.000000x1.188355x1.188355x1.19x3.191%3.19%3.793%3.79%-1.000000x-1.000000x1.178023x1.178023x1.18x8.543%8.54%10.064%10.1%18-1.000000x-1.000000x1.130509x1.130509x1.13x6.515%6.52%7.365%7.37%19-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123639x1.123639x1.12x5.882%5.88%6.610%6.61%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.091476x1.091476x1.09x3.714%3.71%4.054%4.05%21-1.000000x-1.000000x1.080984x1.080984x1.08x6.936%6.94%7.498%7.50%22-1.000000x-1.000000x1.079482x1.079482x1.08x1.835%1.83%1.981%1.98%23-1.000000x-1.000000x1.058484x1.058484x1.06x4.196%4.20%4.441%4.44%24-1.000000x-1.000000x1.051937x1.051937x1.05x7.134%7.13%7.504%7.50%25-1.000000x-1.000000x1.051097x1.051097x1.05x6.552%6.55%6.887%6.89%26-1.000000x-1.000000x1.050929x1.050929x1.05x7.782%7.78%8.178%8.18%27-1.007520x-1.007520x1.01x1.000000x1.000000x3.391%3.39%3.366%3.37%-1.011456x-1.011456x1.01x1.000000x1.000000x5.691%5.69%5.627%5.63%28-1.066372x-1.066372x1.07x1.000000x1.000000x5.131%5.13%4.812%4.81%29-1.068229x-1.068229x1.07x1.000000x1.000000x3.951%3.95%3.698%3.70%30-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%31-1.078847x-1.078847x1.08x1.000000x1.000000x17.282%17.3%16.019%16.0%32-1.081939x-1.081939x1.08x1.000000x1.000000x14.120%14.1%13.051%13.1%33-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.130197x-1.130197x1.13x1.000000x1.000000x3.498%3.50%3.095%3.09%34-1.130468x-1.130468x1.13x1.000000x1.000000x7.579%7.58%6.704%6.70%35-1.134055x-1.134055x1.13x1.000000x1.000000x8.769%8.77%7.733%7.73%36-1.182653x-1.182653x1.18x1.000000x1.000000x7.143%7.14%6.040%6.04%37-1.210664x-1.210664x1.21x1.000000x1.000000x5.254%5.25%4.340%4.34%38-1.212436x-1.212436x1.21x1.000000x1.000000x10.730%10.7%8.850%8.85%39-1.285405x-1.285405x1.29x1.000000x1.000000x12.030%12.0%9.359%9.36%40-1.410208x-1.410208x1.41x1.000000x1.000000x7.022%7.02%4.979%4.98%41-1.499475x-1.499475x1.50x1.000000x1.000000x4.902%4.90%3.269%3.27%42-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%43-1.582447x-1.582447x1.58x1.000000x1.000000x4.787%4.79%3.025%3.03%44-1.854744x-1.854744x1.85x1.000000x1.000000x13.213%13.2%7.124%7.12%45-2.183101x-2.183101x2.18x1.000000x1.000000x3.926%3.93%1.798%1.80%46-2.284148x-2.284148x2.28x1.000000x1.000000x10.624%10.6%4.651%4.65%47-2.585753x-2.585753x2.59x1.000000x1.000000x14.138%14.1%5.468%5.47%48-3.755615x-3.755615x3.76x1.000000x1.000000x6.918%6.92%1.842%1.84%49-6.110151x-6.110151x6.11x1.000000x1.000000x14.903%14.9%2.439%2.44%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 Webster Township, selected other county subdivisions in the Toledo Area, and entities that contain the Webster Township
Female
Male
10x5x0x5x10xFM#WashingtonWashingtonAmboyPerryRoyaltonPortageSwan CrkPerrysburgClintonMiddletonSpringfieldWatervilleRoche de BoeufRossfordLake TownshipCtrGermanLibertySylvaniaOhioWoodMaumeeEast North CentralBowling GreenMidwestMonclovaUnited StatesOttawa HillsToledo AreaGrand RapidsHenryToledoPerrysburgPike TownshipOregonBloomRichfieldFreedomTract 021100WebsterPlainEastwoodMontgomeryProvidenceFultonNorthwoodYork TownshipTroy TownshipJerusalemSwantonWestonGorhamSpencerDoverMilton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.611%1.61%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.098%2.10%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.085%1.08%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.744%1.74%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.687%2.69%5-1.000000x-1.000000x4.483333x4.483333x4.48x0.743%0.74%3.333%3.33%6-1.000000x-1.000000x2.962668x2.962668x2.96x0.904%0.90%2.678%2.68%7-1.000000x-1.000000x2.725812x2.725812x2.73x3.267%3.27%8.905%8.91%8-1.000000x-1.000000x2.548140x2.548140x2.55x0.884%0.88%2.254%2.25%9-1.000000x-1.000000x2.414269x2.414269x2.41x3.725%3.73%8.994%8.99%10-1.000000x-1.000000x2.149667x2.149667x2.15x2.864%2.86%6.157%6.16%11-1.000000x-1.000000x2.125985x2.125985x2.13x2.269%2.27%4.825%4.82%12-1.000000x-1.000000x2.124728x2.124728x2.12x2.116%2.12%4.495%4.50%13-1.000000x-1.000000x1.983823x1.983823x1.98x2.544%2.54%5.047%5.05%14-1.000000x-1.000000x1.965466x1.965466x1.97x0.988%0.99%1.941%1.94%15-1.000000x-1.000000x1.887468x1.887468x1.89x2.439%2.44%4.604%4.60%16-1.000000x-1.000000x1.826198x1.826198x1.83x0.842%0.84%1.537%1.54%17-1.000000x-1.000000x1.808153x1.808153x1.81x1.034%1.03%1.871%1.87%18-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%19-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.605904x1.605904x1.61x2.479%2.48%3.981%3.98%20-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596499x1.596499x1.60x4.533%4.53%7.237%7.24%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576784x1.576784x1.58x5.324%5.32%8.394%8.39%22-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.489395x1.489395x1.49x15.997%16.0%23.826%23.8%23-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.455204x1.455204x1.46x1.664%1.66%2.421%2.42%24-1.000000x-1.000000x1.358358x1.358358x1.36x0.442%0.44%0.601%0.60%25-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%26-1.000000x-1.000000x1.047166x1.047166x1.05x4.773%4.77%4.998%5.00%27-1.000000x-1.000000x1.004092x1.004092x1.00x4.091%4.09%4.108%4.11%28-1.000000x-1.000000x1.000109x1.000109x1.00x1.733%1.73%1.734%1.73%29-1.008226x-1.008226x1.01x1.000000x1.000000x0.235%0.24%0.233%0.23%30-1.054965x-1.054965x1.05x1.000000x1.000000x2.660%2.66%2.521%2.52%31-1.101705x-1.101705x1.10x1.000000x1.000000x2.469%2.47%2.241%2.24%32-1.107557x-1.107557x1.11x1.000000x1.000000x2.237%2.24%2.019%2.02%-1.127214x-1.127214x1.13x1.000000x1.000000x1.691%1.69%1.500%1.50%33-1.530194x-1.530194x1.53x1.000000x1.000000x7.775%7.78%5.081%5.08%34-3.114066x-3.114066x3.11x1.000000x1.000000x2.926%2.93%0.939%0.94%-3.548068x-3.548068x3.55x1.000000x1.000000x1.482%1.48%0.418%0.42%35-4.481132x-4.481132x4.48x1.000000x1.000000x3.145%3.14%0.702%0.70%36-8.164202x-8.164202x8.16x1.000000x1.000000x3.794%3.79%0.465%0.46%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.895%1.90%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.071%2.07%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.638%4.64%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.619%1.62%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.627%0.63%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.882%2.88%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.194%2.19%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.975%1.97%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.216%3.22%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in Ohio

There are 1,606 county subdivisions in Ohio. This section compares the Webster Township to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with the Webster Township. The least populous of the compared county subdivisions has a population of 36,945.

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 Webster Township, selected other county subdivisions in Ohio, and entities that contain the Webster Township
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColerain TownshipColerainEast North CentralEuclidOhioMidwestToledo Metro AreaToledo AreaParmaFindlayFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringWood CountyWoodGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonWebster TownshipWebsterEastwood Local School DistrictEastwood021100Tract 021100Anderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981214.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5222210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.029971%10.029971%10.0%39,95840.0k9.939137%9.939137%9.9%5,683239.003845%9.003845%9.0%2,482248.712972%8.712972%8.7%2,559258.614662%8.614662%8.6%3,080268.597523%8.597523%8.6%2,777277.261193%7.261193%7.3%1,797286.480864%6.480864%6.5%1,944296.307136%6.307136%6.3%1,918306.197364%6.197364%6.2%2,215316.171554%6.171554%6.2%2,311326.109570%6.109570%6.1%2,246335.953744%5.953744%6.0%2,340345.919879%5.919879%5.9%4,7145.804316%5.804316%5.8%2,402355.764815%5.764815%5.8%1,682365.727981%5.727981%5.7%2,390375.628396%5.628396%5.6%1,554385.595517%5.595517%5.6%1,408395.268752%5.268752%5.3%1,834405.136204%5.136204%5.1%1,169414.322119%4.322119%4.3%1,462424.066023%4.066023%4.1%1,313433.979966%3.979966%4.0%1,041443.830735%3.830735%3.8%1,118453.637690%3.637690%3.6%1,496463.562654%3.562654%3.6%293.485209%3.485209%3.5%2053.378627%3.378627%3.4%923.351036%3.351036%3.4%978473.293195%3.293195%3.3%815483.105178%3.105178%3.1%1,170491.754602%1.754602%1.8%42850
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 Webster Township, selected other county subdivisions in Ohio, and entities that contain the Webster Township
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorWood CountyWoodBoardman TownshipBoardmanUnited States of AmericaUnited StatesUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralFairfield021100Tract 021100Bath TownshipFindlayMiami TownshipMiamiOhioToledo Metro AreaToledo AreaEastwood Local School DistrictEastwoodHuber HeightsColerain TownshipColerainWebster TownshipWebsterEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k157.851139%57.851139%57.9%14,31714.3k256.039061%56.039061%56.0%16,35516.4k352.483891%52.483891%52.5%21,58421.6k451.261976%51.261976%51.3%19,31519.3k550.973364%50.973364%51.0%15,50115.5k650.549209%50.549209%50.5%11,50511.5k747.424805%47.424805%47.4%19,78819.8k846.115414%46.115414%46.1%15,59915.6k944.614765%44.614765%44.6%14,40714.4k1043.925605%43.925605%43.9%11,05311.1k1143.657287%43.657287%43.7%11,41911.4k1243.651053%43.651053%43.7%16,04716.0k1342.654835%42.654835%42.7%11,77711.8k1441.432243%41.432243%41.4%12,09212.1k1534.685843%34.685843%34.7%185,460185k1633.783048%33.783048%33.8%64,52964.5k1733.391853%33.391853%33.4%13,12413.1k1833.138386%33.138386%33.1%12,40912.4k1932.914482%32.914482%32.9%13,62113.6k2032.380180%32.380180%32.4%11,57311.6k2132.238789%32.238789%32.2%11,22211.2k2231.682783%31.682783%31.7%25,22925.2k31.219796%31.219796%31.2%9,1092330.315023%30.315023%30.3%64,767,78764.8M29.613003%29.613003%29.6%9,5652428.997200%28.997200%29.0%8,6982528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882627.910393%27.910393%27.9%76026.954091%26.954091%27.0%6,6522726.775738%26.775738%26.8%7,3812826.713842%26.713842%26.7%9,5512926.667466%26.667466%26.7%2,092,8752.09M25.829974%25.829974%25.8%102,903103k25.212513%25.212513%25.2%1,48322.834168%22.834168%22.8%5,6513021.665661%21.665661%21.7%8,6163120.761671%20.761671%20.8%16920.614221%20.614221%20.6%6,8133220.213821%20.213821%20.2%26,69726.7k3319.988457%19.988457%20.0%11,42911.4k3418.053148%18.053148%18.1%5,7273518.048021%18.048021%18.0%33,17133.2k3617.635555%17.635555%17.6%15,51115.5k3716.631922%16.631922%16.6%5,1063816.462939%16.462939%16.5%4,4313916.073076%16.073076%16.1%40,94640.9k4015.411739%15.411739%15.4%5,5514115.075315%15.075315%15.1%6,1454214.851256%14.851256%14.9%5,7664314.608666%14.608666%14.6%6,8244413.812631%13.812631%13.8%4,4884512.832476%12.832476%12.8%3,4934612.044055%12.044055%12.0%5,2604711.718579%11.718579%11.7%4,8124811.460139%11.460139%11.5%2,6454910.478559%10.478559%10.5%3,24550
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 Webster Township, selected other county subdivisions in Ohio, and entities that contain the Webster Township
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringWood CountyWoodLiberty TownshipLibertyMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesPlain TownshipPlainToledo Metro AreaToledo AreaBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkron021100Tract 021100Jackson TownshipJacksonEastwood Local School DistrictEastwoodClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoWebster TownshipWebsterSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarion10.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%3.778338%3.8%1,485133.600402%3.600402%3.6%2,8673.514938%3.514938%3.5%800143.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.336158%3.336158%3.3%7,127,6737.13M3.036372%3.036372%3.0%1,137172.958688%2.958688%3.0%11,78711.8k2.957809%2.957809%3.0%863182.940052%2.940052%2.9%769192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.481744%2.481744%2.5%887212.476862%2.476862%2.5%1,025222.451477%2.451477%2.5%605232.163955%2.163955%2.2%2,858242.130004%2.130004%2.1%582.063608%2.063608%2.1%619251.955117%1.955117%2.0%1151.927780%1.927780%1.9%4,911261.815622%1.815622%1.8%632271.815530%1.815530%1.8%722281.762090%1.762090%1.8%630291.675978%1.675978%1.7%462301.642065%1.642065%1.6%3,018311.597052%1.597052%1.6%131.545396%1.545396%1.5%600321.477698%1.477698%1.5%434331.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.257490%1.257490%1.3%1,106371.245933%1.245933%1.2%582381.241352%1.241352%1.2%506391.238390%1.238390%1.2%400401.236490%1.236490%1.2%707411.182108%1.182108%1.2%375421.159205%1.159205%1.2%312431.104887%1.104887%1.1%359440.996743%0.996743%1.0%306450.964372%0.964372%1.0%396460.952302%0.952302%1.0%343470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.720098%0.720098%0.7%22350
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 Webster Township, selected other county subdivisions in Ohio, and entities that contain the Webster Township
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekWebsterUnionToledoFindlayLorainMarionYoungstownEastwoodColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestToledo AreaEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioLimaParmaColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronTract 021100MifflinSylvaniaMiamiEuclidWoodMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.332397x1.332397x1.33x2.666%2.67%3.552%3.55%4-1.000000x-1.000000x1.273846x1.273846x1.27x3.140%3.14%4.000%4.00%-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%7.70%9.573%9.57%5-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%6-1.000000x-1.000000x1.222843x1.222843x1.22x8.133%8.13%9.946%9.95%7-1.000000x-1.000000x1.207850x1.207850x1.21x16.045%16.0%19.380%19.4%8-1.000000x-1.000000x1.204406x1.204406x1.20x14.131%14.1%17.020%17.0%9-1.000000x-1.000000x1.194114x1.194114x1.19x15.554%15.6%18.574%18.6%10-1.000000x-1.000000x1.188355x1.188355x1.19x3.191%3.19%3.793%3.79%-1.000000x-1.000000x1.175447x1.175447x1.18x10.032%10.0%11.792%11.8%11-1.000000x-1.000000x1.173903x1.173903x1.17x5.370%5.37%6.304%6.30%12-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%13-1.000000x-1.000000x1.166450x1.166450x1.17x12.379%12.4%14.439%14.4%14-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%15-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.124452x1.124452x1.12x16.027%16.0%18.022%18.0%17-1.000000x-1.000000x1.124390x1.124390x1.12x14.230%14.2%16.000%16.0%18-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%19-1.000000x-1.000000x1.109752x1.109752x1.11x14.885%14.9%16.518%16.5%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.087544x1.087544x1.09x15.592%15.6%16.957%17.0%21-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%24-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%25-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%26-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%28-1.000000x-1.000000x1.027725x1.027725x1.03x6.093%6.09%6.262%6.26%29-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%30-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%31-1.000000x-1.000000x1.021443x1.021443x1.02x7.189%7.19%7.344%7.34%32-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%33-1.000000x-1.000000x1.006889x1.006889x1.01x3.818%3.82%3.844%3.84%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%36-1.007520x-1.007520x1.01x1.000000x1.000000x3.391%3.39%3.366%3.37%-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%37-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%40-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.123601x-1.123601x1.12x1.000000x1.000000x9.091%9.09%8.091%8.09%41-1.132510x-1.132510x1.13x1.000000x1.000000x6.567%6.57%5.799%5.80%42-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%43-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%44-1.295653x-1.295653x1.30x1.000000x1.000000x13.964%14.0%10.778%10.8%45-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%46-1.505212x-1.505212x1.51x1.000000x1.000000x7.040%7.04%4.677%4.68%47-1.641786x-1.641786x1.64x1.000000x1.000000x4.457%4.46%2.715%2.71%48-1.660386x-1.660386x1.66x1.000000x1.000000x7.066%7.07%4.256%4.26%49-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%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 Webster Township, selected other county subdivisions in Ohio, and entities that contain the Webster Township
Female
Male
2x0x2xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipOhioWoodFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestWarrenUnited StatesLibertyToledo AreaParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonTract 021100WebsterCuyahoga FallsLimaEastwood-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%2-1.000000x-1.000000x2.977263x2.977263x2.98x3.534%3.53%10.523%10.5%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.780060x2.780060x2.78x1.621%1.62%4.507%4.51%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%7-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%8-1.000000x-1.000000x2.437656x2.437656x2.44x0.991%0.99%2.417%2.42%9-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%10-1.000000x-1.000000x2.183841x2.183841x2.18x3.386%3.39%7.394%7.39%11-1.000000x-1.000000x2.155653x2.155653x2.16x2.468%2.47%5.319%5.32%12-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%13-1.000000x-1.000000x2.024516x2.024516x2.02x2.059%2.06%4.169%4.17%14-1.000000x-1.000000x2.007898x2.007898x2.01x4.457%4.46%8.948%8.95%15-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%16-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%17-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%18-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%19-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%20-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%21-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%22-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%23-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%24-1.000000x-1.000000x1.691857x1.691857x1.69x1.833%1.83%3.102%3.10%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%26-1.000000x-1.000000x1.650301x1.650301x1.65x0.820%0.82%1.353%1.35%27-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%28-1.000000x-1.000000x1.627164x1.627164x1.63x1.044%1.04%1.699%1.70%29-1.000000x-1.000000x1.624128x1.624128x1.62x3.883%3.88%6.306%6.31%30-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%32-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%33-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%34-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%35-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.107557x-1.107557x1.11x1.000000x1.000000x2.237%2.24%2.019%2.02%-1.127214x-1.127214x1.13x1.000000x1.000000x1.691%1.69%1.500%1.50%-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%50-3.114066x-3.114066x3.11x1.000000x1.000000x2.926%2.93%0.939%0.94%
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 Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Webster Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Webster Township. The least populous of the compared county subdivisions has a population of 112,821.

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 Webster Township, selected other county subdivisions in the Midwest, and entities that contain the Webster Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthOhioMidwestLawrence TownshipLawrenceToledo Metro AreaToledo AreaSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsWood CountyWoodYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvWebster TownshipWebsterLisle TownshipLisleEastwood Local School DistrictEastwood021100Tract 021100Overland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,1613310.029971%10.029971%10.0%39,95840.0k9.702326%9.702326%9.7%9,123348.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.919879%5.919879%5.9%4,7145.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.562654%3.562654%3.6%293.522812%3.522812%3.5%2,870483.485209%3.485209%3.5%2053.378627%3.378627%3.4%923.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
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 Webster Township, selected other county subdivisions in the Midwest, and entities that contain the Webster Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsWood CountyWoodUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North Central021100Tract 021100Sterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoToledo Metro AreaToledo AreaWorth TownshipWorthEastwood Local School DistrictEastwoodMilwaukeeRockford TownshipRockfordWebster TownshipWebsterAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.682783%31.682783%31.7%25,22925.2k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.910393%27.910393%27.9%76027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.829974%25.829974%25.8%102,903103k25.217641%25.217641%25.2%26,38926.4k3525.212513%25.212513%25.2%1,48323.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.761671%20.761671%20.8%16920.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%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#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 Webster Township, selected other county subdivisions in the Midwest, and entities that contain the Webster Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineWood CountyWoodPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceToledo Metro AreaToledo AreaSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkron021100Tract 021100Bloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthEastwood Local School DistrictEastwoodClevelandToledoWebster TownshipWebsterNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.600402%3.600402%3.6%2,8673.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.958688%2.958688%3.0%11,78711.8k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.683241%2.683241%2.7%210,582211k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.130004%2.130004%2.1%582.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.955117%1.955117%2.0%1151.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.597052%1.597052%1.6%131.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
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 Webster Township, selected other county subdivisions in the Midwest, and entities that contain the Webster Township
Female
Male
1x0x1xFM#WebsterCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonEastwoodLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestToledo AreaTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronTract 021100Ann ArborSt. PaulLisleWoodMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.273846x1.273846x1.27x3.140%3.14%4.000%4.00%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.188355x1.188355x1.19x3.191%3.19%3.793%3.79%-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.007520x-1.007520x1.01x1.000000x1.000000x3.391%3.39%3.366%3.37%-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%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

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 Webster Township, selected other county subdivisions in the Midwest, and entities that contain the Webster Township
Female
Male
3x2x1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOhioOmahaWoodFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaToledo AreaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoTract 021100WebsterThorntonEastwood-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.107557x-1.107557x1.11x1.000000x1.000000x2.237%2.24%2.019%2.02%-1.127214x-1.127214x1.13x1.000000x1.000000x1.691%1.69%1.500%1.50%-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50-3.114066x-3.114066x3.11x1.000000x1.000000x2.926%2.93%0.939%0.94%
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 Webster Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Webster 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 Webster Township, selected other county subdivisions in the United States, and entities that contain the Webster 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 FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralOhioSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonToledo Metro AreaToledo AreaAtlantaSeattleNortheast TarrantNE TarrantWood CountyWoodPlanoSeattle EastWebster TownshipWebsterEastwood Local School DistrictEastwood021100Tract 02110028.998944%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%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k4510.029971%10.029971%10.0%39,95840.0k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.919879%5.919879%5.9%4,7145.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.562654%3.562654%3.6%293.485209%3.485209%3.5%2053.378627%3.378627%3.4%92
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 Webster Township, selected other county subdivisions in the United States, and entities that contain the Webster Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonWood CountyWoodOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Sacramento021100Tract 021100East San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiToledo Metro AreaToledo AreaEastwood Local School DistrictEastwoodFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoWebster TownshipWebsterBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%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%184,237184k2631.682783%31.682783%31.7%25,22925.2k31.198303%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%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.910393%27.910393%27.9%76027.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.829974%25.829974%25.8%102,903103k25.212513%25.212513%25.2%1,48324.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4620.761671%20.761671%20.8%16919.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Webster Township, selected other county subdivisions in the United States, and entities that contain the Webster Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyWood CountyWoodTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodToledo Metro AreaToledo AreaMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensOhioNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas Vegas021100Tract 021100MilwaukeeEastwood Local School DistrictEastwoodSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxWebster TownshipWebsterDetroit12.461852%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%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%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%45,61045.6k253.600402%3.600402%3.6%2,8673.490252%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%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.958688%2.958688%3.0%11,78711.8k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.683241%2.683241%2.7%210,582211k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.130004%2.130004%2.1%582.043126%2.043126%2.0%7,455441.955117%1.955117%2.0%1151.807306%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%15,06415.1k491.597052%1.597052%1.6%131.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Webster Township, selected other county subdivisions in the United States, and entities that contain the Webster Township
Female
Male
1x0x1xFM#1, CharlotteWebsterDetroitEastwoodBaltimoreTulsaSW DallasMidwestFresnoToledo AreaEast North CentralMilwaukeeUnited StatesOhioNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonTract 021100Anaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastWoodSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.273846x1.273846x1.27x3.140%3.14%4.000%4.00%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.188355x1.188355x1.19x3.191%3.19%3.793%3.79%-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-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-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-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-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-1.000000x1.092101x1.092101x1.09x9.951%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-1.000000x1.073220x1.073220x1.07x9.215%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-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.007520x-1.007520x1.01x1.000000x1.000000x3.391%3.39%3.366%3.37%-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%46-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-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 Webster Township, selected other county subdivisions in the United States, and entities that contain the Webster Township
Female
Male
3x2x1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOhioOrlandoPhoenixWoodTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantToledo AreaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 021100WebsterEastwood-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-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-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-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-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-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-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-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-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-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%50-1.107557x-1.107557x1.11x1.000000x1.000000x2.237%2.24%2.019%2.02%-1.127214x-1.127214x1.13x1.000000x1.000000x1.691%1.69%1.500%1.50%-3.114066x-3.114066x3.11x1.000000x1.000000x2.926%2.93%0.939%0.94%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Ohio
County:
Wood
Metro Area:
Toledo Area
ZIP Codes:
43402, 43443, 43450, 43551
Unified School District:
Eastwood
Congressional District:
OH-5
State Senate District:
OH-2
State House District:
OH-3
Neighboring Townships:
Center, Freedom, Middleton, Perrysburg, Troy
Neighboring Villages:
Luckey
Nearby Townships:
Lake, Madison, Montgomery, Plain, Portage, Roche de Boeuf, Woodville