Educational Attainment in the Miller Township, Dearborn County, Indiana (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Dearborn County and the Miller Township
Miller Township
Dearborn County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.305435%29.359525%35.305435%35.3%2,20258.441558%61.274481%58.441558%58.4%3,6456.253006%9.365994%6.253006%6.3%390
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 Dearborn County at large.
Scope: population of Dearborn County and the Miller Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma220.252067%20.252067%+20.3%35.305%35.3%29.360%29.4%-4.623332%-4.623332%-4.6%58.442%58.4%61.274%61.3%-33.237133%-33.237133%-33.2%6.253%6.25%9.366%9.37%
% percentage with given level in the Miller Township
ref. percentage with given level in Dearborn 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 Dearborn County and the Miller Township
Miller Township
Dearborn County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.464967%0.176439%0.464967%0.5%291.491101%1.035111%1.491101%1.5%936.605740%5.340234%6.605740%6.6%41218.550585%13.412339%18.550585%18.6%1,1578.193042%9.395401%8.193042%8.2%51122.558923%21.113921%22.558923%22.6%1,40735.882636%40.160560%35.882636%35.9%2,2384.681738%6.528260%4.681738%4.7%2921.106301%2.226078%1.106301%1.1%690.464967%0.611657%0.464967%0.5%29
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 Dearborn County at large.
Scope: population of Dearborn County and the Miller Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None163.527871%163.527871%+163.5%0.465%0.46%0.176%0.18%44.052265%44.052265%+44.1%1.491%1.49%1.035%1.04%23.697573%23.697573%+23.7%6.606%6.61%5.340%5.34%38.309845%38.309845%+38.3%18.551%18.6%13.412%13.4%-12.797318%-12.797318%-12.8%8.193%8.19%9.395%9.40%6.843833%6.843833%+6.8%22.559%22.6%21.114%21.1%-10.652053%-10.652053%-10.7%35.883%35.9%40.161%40.2%-28.285053%-28.285053%-28.3%4.682%4.68%6.528%6.53%-50.302674%-50.302674%-50.3%1.106%1.11%2.226%2.23%-23.982345%-23.982345%-24.0%0.465%0.46%0.612%0.61%
% percentage with given level in the Miller Township
ref. percentage with given level in Dearborn 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 Dearborn County and the Miller Township
More Females More Males
Dearborn County
Miller Township
20%0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-32.492786%-29.525797%-32.492786%32%40.197%40.2%30.339%30.3%13.119019%8.310560%13.119019%13%54.870%54.9%62.068%62.1%53.915264%32.784032%53.915264%54%4.933%4.93%7.593%7.59%
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 Dearborn County and the Miller Township
More Females More Males
Dearborn County
Miller Township
0%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-39.547528%-39.547528%40%161.749923%0.541%0.54%0.388%0.39%-1.129307%191.865913%191.865913%192%0.764%0.76%2.229%2.23%-170.438632%-74.599583%-170.438632%170%9.612%9.61%3.554%3.55%-29.891227%-15.366644%-29.891227%30%20.942%20.9%16.123%16.1%-3.646924%-36.382517%-3.646924%4%8.339%8.34%8.045%8.05%25.928300%13.263256%25.928300%26%19.987%20.0%25.170%25.2%5.779395%5.796442%5.779395%6%34.882%34.9%36.898%36.9%45.509962%7.473589%45.509962%46%3.819%3.82%5.557%5.56%67.896110%91.014741%67.896110%68%0.827%0.83%1.389%1.39%125.596841%334.626616%125.596841%126%0.286%0.29%0.646%0.65%
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 Dearborn County and the Miller Township
Miller Township
Dearborn County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3410.526316%8.686356%10.526316%10.5%1441,36816.337332%12.702341%16.337332%16.3%4632,83431.019709%18.869453%31.019709%31.0%3621,16721.658986%15.688090%21.658986%21.7%188868
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 Dearborn County at large.
Scope: population of Dearborn County and the Miller Township
0%10%20%30%40%50%60%%ref.65+45-6435-4425-3421.182186%21.182186%21.2%10.526%10.5%8.686%8.69%28.616703%28.616703%28.6%16.337%16.3%12.702%12.7%64.391143%64.391143%64.4%31.020%31.0%18.869%18.9%38.060055%38.060055%38.1%21.659%21.7%15.688%15.7%
% percentage in the Miller Township with a Bachelor's degree
ref percentage in Dearborn 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 Dearborn County and the Miller Township
More Females More Males
Dearborn County
Miller Township
200%100%0%100%FM65+45-6435-4425-34114.359504%55.788567%114.359504%114.4%6.627%6.63%14.205%14.2%28.402497%8.675894%28.402497%28.4%14.316%14.3%18.382%18.4%-284.080525%-124.664934%-284.080525%284.1%47.573%47.6%12.386%12.4%-60.370370%-35.179916%-60.370370%60.4%26.667%26.7%16.628%16.6%
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 Dearborn County and the Miller Township
Miller Township
Dearborn County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$76,389.000000$60,240.000000$76,389.000000$76.4k5348.562%8.56%$53,750.000000$49,596.000000$53,750.000000$53.8k1,15718.551%18.6%$42,447.000000$40,085.000000$42,447.000000$42.4k1,91830.752%30.8%$36,938.000000$31,468.000000$36,938.000000$36.9k2,23835.883%35.9%$23,984.000000$18,913.000000$23,984.000000$24.0k3906.253%6.25%$44,357.000000$37,413.000000$44,357.000000$44.4k6,237100.000%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 Dearborn County and the Miller Township
Female Male
Dearborn County
Miller Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-63,036.000000$-58,577.000000$-63,036.000000$63.0k$63,036.000000$44,308.000000$58,577.000000$10,116.000000$107,344.000000$107.3k343191$-45,568.000000$-40,528.000000$-45,568.000000$45.6k$45,568.000000$30,829.000000$40,528.000000$21,594.000000$76,397.000000$76.4k658499$-26,913.000000$-30,399.000000$-26,913.000000$26.9k$26,913.000000$27,734.000000$30,399.000000$18,980.000000$54,647.000000$54.6k8901,028$-27,546.000000$-23,416.000000$-27,546.000000$27.5k$27,546.000000$23,404.000000$23,416.000000$18,886.000000$50,950.000000$51.0k1,0961,142$-32,067.000000$-29,187.000000$-32,067.000000$32.1k$32,067.000000$23,232.000000$29,187.000000$17,279.000000$55,299.000000$55.3k3,1423,095
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 Dearborn County and the Miller Township
Miller Township
Dearborn County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.663793%85.115342%78.663793%78.7%1,09592.791692%81.363116%92.791692%92.8%1,51967.814652%73.916853%67.814652%67.8%1,08354.732510%47.669903%54.732510%54.7%133
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 Dearborn County and the Miller Township
Female Male
Dearborn County
Miller Township
Shaded bar tips show excess over facing bar.
10%0%10%20%30%40%MFWhite1AsianOther1-5.183946%-7.963758%-5.183946%5.2%5.183946%1.801226%7.963758%2.378941%6.985173%7.0%212155-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%13.414634%0.000000%0.0%00-0.000000%-11.071429%0.000000%0.0%0.000000%47.916667%11.071429%0.603698%47.916667%47.9%230
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 Dearborn County and the Miller Township
Female Male
Dearborn County
Miller Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1AsianOther1-22.734761%-9.773600%-17.919111%-4.589234%-32.508361%32.5%22.734761%17.919111%22.734761%22.7%690972-0.000000%-23.170732%-16.018457%0.000000%0.0%0.000000%0.000000%23.170732%0.000000%0.0%00-0.000000%-22.000000%-0.000000%-8.928571%-22.000000%22.0%0.000000%0.000000%0.000000%0.0%022
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Miller Township

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
34.97%35.14%35.30%35.46%35.62%35.79%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
57.09%57.55%58.00%58.45%58.91%59.36%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
5.66%5.95%6.25%6.54%6.83%7.12%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.32%0.39%0.46%0.53%0.60%0.68%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.0%1.5%2.0%2.6%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
4.9%5.5%6.1%6.6%7.2%7.8%

Detailed: Bachelor's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
16.8%17.7%18.5%19.4%20.2%21.0%

Detailed: Associate's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
7.52%7.85%8.18%8.51%8.84%9.18%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
20.7%21.3%22.0%22.6%23.2%23.9%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
35.54%35.71%35.88%36.04%36.21%36.38%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.547%4.592%4.638%4.683%4.728%4.774%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.35%0.72%1.10%1.47%1.84%2.22%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.355%0.393%0.429%0.466%0.503%0.540%
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Educational Attainment by County Subdivision in the Cincinnati Area

There are 153 county subdivisions in the Cincinnati Area. This section compares the Miller Township to the 50 most populous county subdivisions in the Cincinnati Area and to those entities that contain or substantially overlap with the Miller Township. The least populous of the compared county subdivisions has a population of 9,645.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Miller Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Miller Township
0%5%10%15%Count#Williamstown-Dry RidgeWilliamstown-Dry …MiddletownTurtlecreek TownshipTurtlecreekNorwoodHamiltonGoshen TownshipGoshenFranklin TownshipFranklinCincinnatiSpringdaleUnited States of AmericaUnited StatesReadingIndianaBatavia TownshipBataviaForest ParkColerain TownshipColerainNewport-Fort ThomasNewport-Fort Thom…East North CentralIndependenceLawrenceburg TownshipLawrenceburgCovingtonMidwestTrentonCincinnati Metro AreaCincinnatiDearborn CountyDearbornLemon TownshipLemonFlorenceFairfieldUnion TownshipUnionOxford TownshipOxfordSharonvilleSunman-Dearborn Community School CorporationSunman-DearbornDelhi TownshipDelhiSpringfield TownshipSpringfieldBurlingtonHarrison TownshipHarrisonLebanonMiami TownshipMiamiAlexandriaWaltonSycamore TownshipSycamoreMiller TownshipMillerPierce TownshipPierceGreen TownshipGrnWest Chester TownshipW ChesterLovelandMiami TownshipMiamiLiberty TownshipLibertyHamilton TownshipHamiltonFairfield TownshipFairfieldBlue AshHebronAnderson TownshipAndersonDeerfield TownshipDeerfieldClear Creek TownshipClear CrkMasonSymmes TownshipSymmesMontgomery19.584570%19.584570%19.6%1,914118.211726%18.211726%18.2%5,591216.037736%16.037736%16.0%1,836316.030240%16.030240%16.0%2,078415.293656%15.293656%15.3%6,234515.251718%15.251718%15.3%1,642614.325856%14.325856%14.3%3,008713.761583%13.761583%13.8%26,28626.3k813.402200%13.402200%13.4%999913.020590%13.020590%13.0%27,818,38027.8M12.480718%12.480718%12.5%8901011.923855%11.923855%11.9%517,458517k11.524425%11.524425%11.5%1,8001110.900938%10.900938%10.9%1,3371210.847918%10.847918%10.8%4,3141310.750959%10.750959%10.8%5,0151410.719464%10.719464%10.7%3,363,7843.36M10.657293%10.657293%10.7%3,0321510.500723%10.500723%10.5%7991610.452332%10.452332%10.5%7,9861710.244520%10.244520%10.2%4,641,8354.64M10.022156%10.022156%10.0%769189.940523%9.940523%9.9%141,727142k9.365994%9.365994%9.4%3,1859.225966%9.225966%9.2%857198.943345%8.943345%8.9%3,989208.712972%8.712972%8.7%2,559218.597523%8.597523%8.6%2,777228.275675%8.275675%8.3%610237.943026%7.943026%7.9%619247.791422%7.791422%7.8%1,2887.596086%7.596086%7.6%1,506257.516812%7.516812%7.5%1,822267.483438%7.483438%7.5%915277.287530%7.287530%7.3%734286.881451%6.881451%6.9%880296.874486%6.874486%6.9%752306.852638%6.852638%6.9%678316.823028%6.823028%6.8%896326.662846%6.662846%6.7%930336.253006%6.253006%6.3%390345.888155%5.888155%5.9%597355.804316%5.804316%5.8%2,402365.727981%5.727981%5.7%2,390375.681479%5.681479%5.7%381385.628396%5.628396%5.6%1,554395.136204%5.136204%5.1%1,169404.830743%4.830743%4.8%802414.741951%4.741951%4.7%679424.283979%4.283979%4.3%388433.526057%3.526057%3.5%408443.351036%3.351036%3.4%978453.293195%3.293195%3.3%815463.167093%3.167093%3.2%656472.512136%2.512136%2.5%533482.504472%2.504472%2.5%252492.279594%2.279594%2.3%16650
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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Miller Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Miller Township
0%20%40%60%Count#MontgomerySymmes TownshipSymmesMasonDeerfield TownshipDeerfieldAnderson TownshipAndersonBlue AshOxford TownshipOxfordHamilton TownshipHamiltonLiberty TownshipLibertyClear Creek TownshipClear CrkWest Chester TownshipW ChesterSycamore TownshipSycamoreMiami TownshipMiamiSharonvilleLovelandHebronWaltonPierce TownshipPierceCincinnatiMiami TownshipMiamiGreen TownshipGrnSpringdaleNewport-Fort ThomasNewport-Fort Thom…Cincinnati Metro AreaCincinnatiCovingtonUnited States of AmericaUnited StatesAlexandriaFairfield TownshipFairfieldSpringfield TownshipSpringfieldUnion TownshipUnionLebanonMidwestEast North CentralNorwoodFairfieldFlorenceLemon TownshipLemonDelhi TownshipDelhiForest ParkMiller TownshipMillerIndependenceBurlingtonBatavia TownshipBataviaSunman-Dearborn Community School CorporationSunman-DearbornIndianaTurtlecreek TownshipTurtlecreekHarrison TownshipHarrisonColerain TownshipColerainReadingDearborn CountyDearbornLawrenceburg TownshipLawrenceburgMiddletownGoshen TownshipGoshenHamiltonTrentonFranklin TownshipFranklinWilliamstown-Dry RidgeWilliamstown-Dry …69.101895%69.101895%69.1%5,032165.056649%65.056649%65.1%6,546259.329783%59.329783%59.3%12,58812.6k357.851139%57.851139%57.9%14,31714.3k456.039061%56.039061%56.0%16,35516.4k555.415701%55.415701%55.4%5,019655.026455%55.026455%55.0%4,056751.282978%51.282978%51.3%8,514850.549209%50.549209%50.5%11,50511.5k949.152706%49.152706%49.2%10,18110.2k1047.424805%47.424805%47.4%19,78819.8k1147.406505%47.406505%47.4%6,6171242.654835%42.654835%42.7%11,77711.8k1339.830617%39.830617%39.8%3,1041439.114226%39.114226%39.1%2,6231538.976752%38.976752%39.0%4,5101637.823637%37.823637%37.8%4,9671737.114114%37.114114%37.1%3,7631833.783048%33.783048%33.8%64,52964.5k1933.348569%33.348569%33.3%3,6482032.914482%32.914482%32.9%13,62113.6k2132.130400%32.130400%32.1%2,3952231.967758%31.967758%32.0%14,91214.9k2331.723093%31.723093%31.7%452,292452k30.669860%30.669860%30.7%23,43323.4k2430.315023%30.315023%30.3%64,767,78764.8M30.220336%30.220336%30.2%2,9902529.701795%29.701795%29.7%4,2532629.700070%29.700070%29.7%7,1992729.613003%29.613003%29.6%9,5652829.222709%29.222709%29.2%3,7372928.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.257348%28.257348%28.3%3,6633028.219271%28.219271%28.2%8,2883128.152815%28.152815%28.2%12,55712.6k3228.097750%28.097750%28.1%2,6103328.018763%28.018763%28.0%5,5553427.215654%27.215654%27.2%3,3383527.112394%27.112394%27.1%1,6913627.089631%27.089631%27.1%7,7073726.915842%26.915842%26.9%3,2913825.059223%25.059223%25.1%3,9143924.777690%24.777690%24.8%4,09624.611498%24.611498%24.6%1,068,0621.07M24.406010%24.406010%24.4%2,7944022.656871%22.656871%22.7%2,2824121.665661%21.665661%21.7%8,6164220.333754%20.333754%20.3%1,4504319.964124%19.964124%20.0%6,78918.202129%18.202129%18.2%1,3854416.631922%16.631922%16.6%5,1064516.384915%16.384915%16.4%1,7644615.075315%15.075315%15.1%6,1454714.779096%14.779096%14.8%1,1344814.178216%14.178216%14.2%2,9774912.872199%12.872199%12.9%1,25850
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#30

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 Miller Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Miller Township
0%5%10%15%Count#Oxford TownshipOxfordMontgomerySymmes TownshipSymmesBlue AshAnderson TownshipAndersonMasonClear Creek TownshipClear CrkSycamore TownshipSycamoreCincinnatiHamilton TownshipHamiltonDeerfield TownshipDeerfieldSharonvilleWest Chester TownshipW ChesterWaltonNewport-Fort ThomasNewport-Fort Thom…Liberty TownshipLibertyUnited States of AmericaUnited StatesPierce TownshipPierceHebronCincinnati Metro AreaCincinnatiCovingtonMiami TownshipMiamiMidwestEast North CentralMiami TownshipMiamiFairfield TownshipFairfieldGreen TownshipGrnSpringfield TownshipSpringfieldIndianaIndependenceFlorenceNorwoodAlexandriaMiller TownshipMillerBatavia TownshipBataviaColerain TownshipColerainDelhi TownshipDelhiBurlingtonSunman-Dearborn Community School CorporationSunman-DearbornFairfieldLovelandSpringdaleWilliamstown-Dry RidgeWilliamstown-Dry …Forest ParkLebanonLemon TownshipLemonLawrenceburg TownshipLawrenceburgHamiltonUnion TownshipUnionDearborn CountyDearbornMiddletownTurtlecreek TownshipTurtlecreekTrentonFranklin TownshipFranklinReadingGoshen TownshipGoshenHarrison TownshipHarrison15.533849%15.533849%15.5%1,145110.395496%10.395496%10.4%75729.809183%9.809183%9.8%98739.031688%9.031688%9.0%81847.476443%7.476443%7.5%2,18257.098082%7.098082%7.1%1,50665.817602%5.817602%5.8%1,20575.702823%5.702823%5.7%79684.729595%4.729595%4.7%9,03494.324780%4.324780%4.3%718104.149830%4.149830%4.1%1,027114.131913%4.131913%4.1%322124.100659%4.100659%4.1%1,711134.051173%4.051173%4.1%532143.803031%3.803031%3.8%1,774153.514938%3.514938%3.5%800163.336158%3.336158%3.3%7,127,6737.13M3.274485%3.274485%3.3%332173.154438%3.154438%3.2%365183.129371%3.129371%3.1%44,61744.6k3.026020%3.026020%3.0%2,312192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.641923%2.641923%2.6%289212.479223%2.479223%2.5%355222.476862%2.476862%2.5%1,025232.396964%2.396964%2.4%581242.359248%2.359248%2.4%102,384102k2.161687%2.161687%2.2%615252.138870%2.138870%2.1%954262.082851%2.082851%2.1%270272.071963%2.071963%2.1%205281.956069%1.956069%2.0%122291.824701%1.824701%1.8%285301.815530%1.815530%1.8%722311.704832%1.704832%1.7%338321.627546%1.627546%1.6%199331.621197%1.621197%1.6%2681.477698%1.477698%1.5%434341.461378%1.461378%1.5%98351.435471%1.435471%1.4%107361.381357%1.381357%1.4%135371.377905%1.377905%1.4%169381.360651%1.360651%1.4%174391.345678%1.345678%1.3%125401.314233%1.314233%1.3%100411.241352%1.241352%1.2%506421.238390%1.238390%1.2%400431.211551%1.211551%1.2%4120.996743%0.996743%1.0%306440.899720%0.899720%0.9%103450.821061%0.821061%0.8%63460.561985%0.561985%0.6%118470.434722%0.434722%0.4%31480.408694%0.408694%0.4%44490.228356%0.228356%0.2%2350
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#31

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 Miller Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Miller Township
Female
Male
2x0x2x4xFM#TurtlecreekLebanonAndersonSymmesMillerWilliamstown-Dry RdgWilliamstown-Dry …GoshenIndependenceWaltonDearbornForest ParkLovelandUnionAlexandriaSunman-DearbornBurlingtonSharonvilleCovingtonColerainGrnFairfieldMiddletownMidwestMasonEast North CentralCincinnatiNewport-Fort ThomasNewport-Fort Thom…LawrenceburgUnited StatesIndianaHebronSpringdaleHamiltonFranklinPierceTrentonDeerfieldW ChesterFlorenceLibertyHamiltonCincinnatiClear CrkDelhiBataviaMiamiHarrisonSycamoreSpringfieldOxfordMiamiReadingNorwoodMontgomeryFairfieldBlue AshLemon-1.000000x-1.000000x4.656298x4.656298x4.66x4.700%4.70%21.882%21.9%1-1.000000x-1.000000x2.046987x2.046987x2.05x4.586%4.59%9.387%9.39%2-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%3-1.000000x-1.000000x1.546207x1.546207x1.55x1.971%1.97%3.047%3.05%4-1.000000x-1.000000x1.539153x1.539153x1.54x4.933%4.93%7.593%7.59%5-1.000000x-1.000000x1.536446x1.536446x1.54x15.458%15.5%23.751%23.8%6-1.000000x-1.000000x1.419705x1.419705x1.42x12.616%12.6%17.910%17.9%7-1.000000x-1.000000x1.376987x1.376987x1.38x8.996%9.00%12.388%12.4%8-1.000000x-1.000000x1.354184x1.354184x1.35x5.799%5.80%7.853%7.85%9-1.000000x-1.000000x1.327840x1.327840x1.33x8.066%8.07%10.711%10.7%-1.000000x-1.000000x1.264074x1.264074x1.26x9.719%9.72%12.285%12.3%10-1.000000x-1.000000x1.259785x1.259785x1.26x5.045%5.04%6.356%6.36%11-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%7.70%9.573%9.57%12-1.000000x-1.000000x1.232380x1.232380x1.23x6.180%6.18%7.616%7.62%13-1.000000x-1.000000x1.220925x1.220925x1.22x7.023%7.02%8.575%8.57%-1.000000x-1.000000x1.202049x1.202049x1.20x6.789%6.79%8.161%8.16%14-1.000000x-1.000000x1.195320x1.195320x1.20x7.243%7.24%8.657%8.66%15-1.000000x-1.000000x1.190394x1.190394x1.19x9.571%9.57%11.394%11.4%16-1.000000x-1.000000x1.175447x1.175447x1.18x10.032%10.0%11.792%11.8%17-1.000000x-1.000000x1.173903x1.173903x1.17x5.370%5.37%6.304%6.30%18-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%19-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%20-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125850x1.125850x1.13x2.371%2.37%2.669%2.67%21-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.120330x1.120330x1.12x10.166%10.2%11.389%11.4%22-1.000000x-1.000000x1.112326x1.112326x1.11x9.959%9.96%11.078%11.1%23-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.093703x1.093703x1.09x3.370%3.37%3.686%3.69%24-1.000000x-1.000000x1.087946x1.087946x1.09x12.855%12.9%13.985%14.0%25-1.000000x-1.000000x1.073344x1.073344x1.07x4.661%4.66%5.003%5.00%26-1.000000x-1.000000x1.070157x1.070157x1.07x13.859%13.9%14.832%14.8%27-1.000000x-1.000000x1.060151x1.060151x1.06x5.721%5.72%6.066%6.07%28-1.000000x-1.000000x1.054139x1.054139x1.05x9.775%9.78%10.304%10.3%29-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%30-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%31-1.000000x-1.000000x1.026336x1.026336x1.03x8.833%8.83%9.066%9.07%32-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%33-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.027411x-1.027411x1.03x1.000000x1.000000x3.208%3.21%3.122%3.12%36-1.035513x-1.035513x1.04x1.000000x1.000000x7.718%7.72%7.454%7.45%37-1.042513x-1.042513x1.04x1.000000x1.000000x11.748%11.7%11.269%11.3%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.076898x-1.076898x1.08x1.000000x1.000000x7.533%7.53%6.995%7.00%40-1.102881x-1.102881x1.10x1.000000x1.000000x6.964%6.96%6.315%6.31%41-1.145574x-1.145574x1.15x1.000000x1.000000x7.957%7.96%6.946%6.95%42-1.192103x-1.192103x1.19x1.000000x1.000000x9.013%9.01%7.561%7.56%43-1.202620x-1.202620x1.20x1.000000x1.000000x7.519%7.52%6.252%6.25%44-1.217030x-1.217030x1.22x1.000000x1.000000x13.540%13.5%11.125%11.1%45-1.344711x-1.344711x1.34x1.000000x1.000000x18.373%18.4%13.663%13.7%46-1.565337x-1.565337x1.57x1.000000x1.000000x2.745%2.75%1.754%1.75%47-1.600997x-1.600997x1.60x1.000000x1.000000x5.728%5.73%3.578%3.58%48-1.852773x-1.852773x1.85x1.000000x1.000000x5.536%5.54%2.988%2.99%49-2.002309x-2.002309x2.00x1.000000x1.000000x12.031%12.0%6.009%6.01%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

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 Miller Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Miller Township
Female
Male
2x0x2xFM#FairfieldLebanonMontgomerySymmesPierceMiddletownOxfordAndersonBurlingtonMillerDeerfieldDelhiNewport-Fort ThomasNewport-Fort Thom…MiamiHarrisonWaltonHebronBlue AshBataviaIndianaFairfieldW ChesterSpringfieldClear CrkEast North CentralMidwestCincinnatiLemonUnited StatesLibertyFlorenceCovingtonHamiltonSpringdaleUnionAlexandriaGrnCincinnatiSycamoreForest ParkMasonFranklinColerainSunman-DearbornDearbornHamiltonGoshenIndependenceMiamiLovelandNorwoodLawrenceburgSharonvilleTurtlecreekWilliamstown-Dry RdgWilliamstown-Dry …ReadingTrenton-1.000000x-1.000000x3.276704x3.276704x3.28x1.213%1.21%3.974%3.97%1-1.000000x-1.000000x3.224151x3.224151x3.22x0.659%0.66%2.126%2.13%2-1.000000x-1.000000x3.080069x3.080069x3.08x5.258%5.26%16.194%16.2%3-1.000000x-1.000000x2.687619x2.687619x2.69x5.341%5.34%14.354%14.4%4-1.000000x-1.000000x2.614950x2.614950x2.61x1.837%1.84%4.804%4.80%5-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%6-1.000000x-1.000000x2.488110x2.488110x2.49x8.848%8.85%22.014%22.0%7-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%8-1.000000x-1.000000x2.106750x2.106750x2.11x1.043%1.04%2.198%2.20%9-1.000000x-1.000000x2.005611x2.005611x2.01x1.305%1.30%2.617%2.62%10-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%11-1.000000x-1.000000x1.914242x1.914242x1.91x1.199%1.20%2.295%2.30%12-1.000000x-1.000000x1.898515x1.898515x1.90x2.660%2.66%5.049%5.05%13-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%14-1.000000x-1.000000x1.848215x1.848215x1.85x0.165%0.16%0.304%0.30%15-1.000000x-1.000000x1.826461x1.826461x1.83x2.869%2.87%5.241%5.24%16-1.000000x-1.000000x1.824013x1.824013x1.82x2.241%2.24%4.087%4.09%17-1.000000x-1.000000x1.805733x1.805733x1.81x6.470%6.47%11.683%11.7%18-1.000000x-1.000000x1.708065x1.708065x1.71x1.371%1.37%2.342%2.34%19-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%20-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%21-1.000000x-1.000000x1.646433x1.646433x1.65x1.871%1.87%3.080%3.08%22-1.000000x-1.000000x1.609013x1.609013x1.61x4.513%4.51%7.261%7.26%23-1.000000x-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-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.557853x1.557853x1.56x1.068%1.07%1.664%1.66%24-1.000000x-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%25-1.000000x-1.000000x1.516293x1.516293x1.52x1.719%1.72%2.607%2.61%26-1.000000x-1.000000x1.394111x1.394111x1.39x2.542%2.54%3.543%3.54%27-1.000000x-1.000000x1.367987x1.367987x1.37x3.657%3.66%5.003%5.00%28-1.000000x-1.000000x1.358615x1.358615x1.36x1.223%1.22%1.662%1.66%29-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%30-1.000000x-1.000000x1.339826x1.339826x1.34x1.787%1.79%2.395%2.39%31-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%32-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%33-1.000000x-1.000000x1.277233x1.277233x1.28x5.053%5.05%6.454%6.45%34-1.000000x-1.000000x1.272394x1.272394x1.27x1.224%1.22%1.558%1.56%35-1.000000x-1.000000x1.186547x1.186547x1.19x6.522%6.52%7.739%7.74%36-1.000000x-1.000000x1.160587x1.160587x1.16x0.522%0.52%0.606%0.61%37-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%38-1.000000x-1.000000x1.131527x1.131527x1.13x1.522%1.52%1.722%1.72%-1.000000x-1.000000x1.129378x1.129378x1.13x1.139%1.14%1.287%1.29%-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%39-1.000000x-1.000000x1.008582x1.008582x1.01x0.407%0.41%0.410%0.41%40-1.027634x-1.027634x1.03x1.000000x1.000000x2.191%2.19%2.132%2.13%41-1.043114x-1.043114x1.04x1.000000x1.000000x2.699%2.70%2.587%2.59%42-1.067505x-1.067505x1.07x1.000000x1.000000x1.508%1.51%1.412%1.41%43-1.081783x-1.081783x1.08x1.000000x1.000000x2.164%2.16%2.001%2.00%44-1.193952x-1.193952x1.19x1.000000x1.000000x1.426%1.43%1.195%1.19%45-1.242801x-1.242801x1.24x1.000000x1.000000x4.574%4.57%3.681%3.68%46-1.282842x-1.282842x1.28x1.000000x1.000000x1.053%1.05%0.821%0.82%47-2.270737x-2.270737x2.27x1.000000x1.000000x1.914%1.91%0.843%0.84%48-2.679134x-2.679134x2.68x1.000000x1.000000x0.600%0.60%0.224%0.22%49-2.800391x-2.800391x2.80x1.000000x1.000000x1.173%1.17%0.419%0.42%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Indiana

There are 1,012 county subdivisions in Indiana. This section compares the Miller Township to the 50 most populous county subdivisions in Indiana and to those entities that contain or substantially overlap with the Miller Township. The least populous of the compared county subdivisions has a population of 32,697.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Miller Township, selected other county subdivisions in Indiana, and entities that contain the Miller Township
0%5%10%15%20%Count#Center TownshipCtrConcord TownshipConcordWayne TownshipWayneElkhart TownshipElkhartPortage TownshipPortageWayne TownshipWayneWayne TownshipWayneNorth TownshipNHarrison TownshipHarrisonWarren TownshipWarrenAdams TownshipAdamsHobart TownshipHobartAnderson TownshipAndersonCalumet TownshipCalumetPerry TownshipPerryCenter TownshipCtrDecatur TownshipDecaturNew Albany TownshipNew AlbanyCenter TownshipCtrUnited States of AmericaUnited StatesJeffersonville TownshipJeffersonvilleFairfield TownshipFairfieldIndianaWashington TownshipWashingtonPenn TownshipWea TownshipPortage TownshipPortageEast North CentralKnight TownshipKnightMidwestLawrence TownshipLawrenceCincinnati Metro AreaCincinnatiPike TownshipRoss TownshipDearborn CountyDearbornClay TownshipColumbus TownshipColumbusPleasant TownshipPleasantBloomington TownshipBloomingtonSunman-Dearborn Community School CorporationSunman-DearbornCenter TownshipCtrFranklin TownshipFranklinSt. Joseph TownshipSt. JosephWashington TownshipWashingtonWabash TownshipWabashMiller TownshipMillerNoblesville TownshipNoblesvilleSt. John TownshipSt. JohnPerry TownshipPerryWashington TownshipWashingtonOhio TownshipWhite River TownshipWhite RivCenter TownshipCtrWashington TownshipWashingtonFall Creek TownshipFall CrkDelaware TownshipDelawareAboite TownshipAboiteClay Township23.165532%23.165532%23.2%22,92622.9k121.816299%21.816299%21.8%7,584221.037720%21.037720%21.0%18,48918.5k321.001088%21.001088%21.0%5,018419.418924%19.418924%19.4%10,54710.5k518.195035%18.195035%18.2%5,006617.532152%17.532152%17.5%11,56011.6k717.062713%17.062713%17.1%17,39117.4k815.973269%15.973269%16.0%4,876915.481486%15.481486%15.5%10,30210.3k1015.213692%15.213692%15.2%3,1291115.089946%15.089946%15.1%4,0181214.786671%14.786671%14.8%5,5071314.467691%14.467691%14.5%9,5291414.326632%14.326632%14.3%10,55410.6k1514.176197%14.176197%14.2%4,4751613.599622%13.599622%13.6%2,8771713.529737%13.529737%13.5%4,6431813.471419%13.471419%13.5%5,0341913.020590%13.020590%13.0%27,818,38027.8M13.003477%13.003477%13.0%5,4982012.444341%12.444341%12.4%4,2762111.923855%11.923855%11.9%517,458517k11.655058%11.655058%11.7%2,9452211.623484%11.623484%11.6%5,1952311.557160%11.557160%11.6%2,4012411.495287%11.495287%11.5%3,7072510.719464%10.719464%10.7%3,363,7843.36M10.287806%10.287806%10.3%4,7222610.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161279.940523%9.940523%9.9%141,727142k9.909467%9.909467%9.9%5,035289.596081%9.596081%9.6%3,193299.365994%9.365994%9.4%3,1859.305117%9.305117%9.3%2,093309.026455%9.026455%9.0%2,890318.654557%8.654557%8.7%3,159328.319071%8.319071%8.3%1,361337.791422%7.791422%7.8%1,2887.616061%7.616061%7.6%2,113347.113476%7.113476%7.1%2,473357.107130%7.107130%7.1%3,467366.804680%6.804680%6.8%6,403376.335308%6.335308%6.3%1,476386.253006%6.253006%6.3%3906.187687%6.187687%6.2%2,197395.972798%5.972798%6.0%2,793405.962782%5.962782%6.0%1,945415.826158%5.826158%5.8%1,793425.604955%5.604955%5.6%1,475435.183872%5.183872%5.2%1,521445.023085%5.023085%5.0%1,447454.507433%4.507433%4.5%1,040463.059982%3.059982%3.1%1,081472.923599%2.923599%2.9%680482.546689%2.546689%2.5%630492.265751%2.265751%2.3%1,37350
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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Miller Township, selected other county subdivisions in Indiana, and entities that contain the Miller Township
0%20%40%60%Count#Clay TownshipFall Creek TownshipFall CrkWabash TownshipWabashDelaware TownshipDelawarePerry TownshipPerryWashington TownshipWashingtonBloomington TownshipBloomingtonWashington TownshipWashingtonAboite TownshipAboiteWhite River TownshipWhite RivNoblesville TownshipNoblesvilleClay TownshipCenter TownshipCtrWashington TownshipWashingtonPike TownshipLawrence TownshipLawrenceColumbus TownshipColumbusOhio TownshipFranklin TownshipFranklinCincinnati Metro AreaCincinnatiSt. Joseph TownshipSt. JosephSt. John TownshipSt. JohnCenter TownshipCtrUnited States of AmericaUnited StatesMidwestEast North CentralMiller TownshipMillerFairfield TownshipFairfieldPleasant TownshipPleasantWea TownshipSunman-Dearborn Community School CorporationSunman-DearbornWashington TownshipWashingtonIndianaPerry TownshipPerryPenn TownshipKnight TownshipKnightRoss TownshipNew Albany TownshipNew AlbanyElkhart TownshipElkhartPortage TownshipPortageCenter TownshipCtrCenter TownshipCtrDearborn CountyDearbornNorth TownshipNHarrison TownshipHarrisonWarren TownshipWarrenJeffersonville TownshipJeffersonvilleWayne TownshipWayneWayne TownshipWayneWayne TownshipWaynePortage TownshipPortageHobart TownshipHobartDecatur TownshipDecaturAnderson TownshipAndersonAdams TownshipAdamsCenter TownshipCtrConcord TownshipConcordCalumet TownshipCalumet68.328988%68.328988%68.3%41,40641.4k165.318312%65.318312%65.3%23,07523.1k261.284230%61.284230%61.3%14,27814.3k356.851111%56.851111%56.9%13,22313.2k455.639351%55.639351%55.6%18,14918.1k553.478091%53.478091%53.5%12,33912.3k653.202934%53.202934%53.2%8,704750.610540%50.610540%50.6%47,62347.6k850.044466%50.044466%50.0%12,38012.4k942.452541%42.452541%42.5%12,45612.5k1042.333690%42.333690%42.3%15,03115.0k1139.376695%39.376695%39.4%8,8571239.368903%39.368903%39.4%11,34111.3k1338.953696%38.953696%39.0%11,98812.0k1437.193466%37.193466%37.2%18,89818.9k1536.577273%36.577273%36.6%29,32429.3k1635.515507%35.515507%35.5%11,37111.4k1734.397325%34.397325%34.4%9,0521834.336258%34.336258%34.3%11,93711.9k1931.723093%31.723093%31.7%452,292452k31.579271%31.579271%31.6%15,40515.4k2031.570506%31.570506%31.6%14,76314.8k2130.875144%30.875144%30.9%8,5662230.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.112394%27.112394%27.1%1,69126.099357%26.099357%26.1%8,9682325.634914%25.634914%25.6%9,3572424.837545%24.837545%24.8%5,1602524.777690%24.777690%24.8%4,09624.738800%24.738800%24.7%6,2512624.611498%24.611498%24.6%1,068,0621.07M24.563237%24.563237%24.6%18,09518.1k2724.367924%24.367924%24.4%10,89110.9k2823.643217%23.643217%23.6%10,85210.9k2923.381619%23.381619%23.4%7,7803023.320803%23.320803%23.3%8,0033122.511928%22.511928%22.5%5,3793221.836393%21.836393%21.8%11,86011.9k3321.823485%21.823485%21.8%8,1553420.139240%20.139240%20.1%19,93119.9k3519.964124%19.964124%20.0%6,78919.650916%19.650916%19.7%20,02920.0k3619.262268%19.262268%19.3%5,8803719.034023%19.034023%19.0%12,66612.7k3818.228046%18.228046%18.2%7,7073917.915858%17.915858%17.9%11,81311.8k4016.897467%16.897467%16.9%4,6494116.826535%16.826535%16.8%14,78814.8k4215.836641%15.836641%15.8%5,1074315.364104%15.364104%15.4%4,0914415.140629%15.140629%15.1%3,2034514.996107%14.996107%15.0%5,5854614.654544%14.654544%14.7%3,0144714.280736%14.280736%14.3%4,5084813.804908%13.804908%13.8%4,7994913.054172%13.054172%13.1%8,59850
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#35

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 Miller Township, selected other county subdivisions in Indiana, and entities that contain the Miller Township
0%5%10%Count#Wabash TownshipWabashClay TownshipPerry TownshipPerryFall Creek TownshipFall CrkBloomington TownshipBloomingtonWashington TownshipWashingtonClay TownshipAboite TownshipAboiteWashington TownshipWashingtonCenter TownshipCtrDelaware TownshipDelawarePike TownshipOhio TownshipNoblesville TownshipNoblesvilleUnited States of AmericaUnited StatesWhite River TownshipWhite RivCincinnati Metro AreaCincinnatiPortage TownshipPortageLawrence TownshipLawrenceMidwestEast North CentralSt. Joseph TownshipSt. JosephCenter TownshipCtrCenter TownshipCtrSt. John TownshipSt. JohnFairfield TownshipFairfieldCenter TownshipCtrColumbus TownshipColumbusFranklin TownshipFranklinIndianaPerry TownshipPerryKnight TownshipKnightElkhart TownshipElkhartHarrison TownshipHarrisonWashington TownshipWashingtonMiller TownshipMillerWayne TownshipWayneWashington TownshipWashingtonNew Albany TownshipNew AlbanySunman-Dearborn Community School CorporationSunman-DearbornNorth TownshipNPenn TownshipJeffersonville TownshipJeffersonvilleWea TownshipRoss TownshipPortage TownshipPortageDearborn CountyDearbornWayne TownshipWayneAnderson TownshipAndersonWayne TownshipWaynePleasant TownshipPleasantCenter TownshipCtrConcord TownshipConcordAdams TownshipAdamsWarren TownshipWarrenCalumet TownshipCalumetHobart TownshipHobartDecatur TownshipDecatur14.996995%14.996995%15.0%3,494110.452490%10.452490%10.5%6,334210.377387%10.377387%10.4%3,38538.741189%8.741189%8.7%3,08848.068460%8.068460%8.1%1,32057.306290%7.306290%7.3%6,87566.704308%6.704308%6.7%1,50876.269707%6.269707%6.3%1,55185.209552%5.209552%5.2%1,20295.016142%5.016142%5.0%1,445104.965820%4.965820%5.0%1,155114.833694%4.833694%4.8%2,456123.921569%3.921569%3.9%1,032133.393793%3.393793%3.4%1,205143.336158%3.336158%3.3%7,127,6737.13M3.220749%3.220749%3.2%945153.129371%3.129371%3.1%44,61744.6k3.122641%3.122641%3.1%1,696163.083448%3.083448%3.1%2,472172.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.830962%2.830962%2.8%1,381182.676086%2.676086%2.7%1,000192.602914%2.602914%2.6%2,576202.564048%2.564048%2.6%1,199212.482466%2.482466%2.5%853222.454585%2.454585%2.5%681232.401849%2.401849%2.4%769242.384582%2.384582%2.4%829252.359248%2.359248%2.4%102,384102k2.212660%2.212660%2.2%1,630262.146016%2.146016%2.1%985272.105131%2.105131%2.1%503282.083470%2.083470%2.1%636292.043867%2.043867%2.0%629301.956069%1.956069%2.0%1221.879112%1.879112%1.9%517311.800697%1.800697%1.8%455321.690124%1.690124%1.7%580331.621197%1.621197%1.6%2681.575684%1.575684%1.6%1,606341.557256%1.557256%1.6%696351.506587%1.506587%1.5%637361.448857%1.448857%1.4%301371.412514%1.412514%1.4%470381.305507%1.305507%1.3%421391.211551%1.211551%1.2%4121.183365%1.183365%1.2%1,040401.146524%1.146524%1.1%427411.143533%1.143533%1.1%754421.021890%1.021890%1.0%373430.953527%0.953527%1.0%301440.917642%0.917642%0.9%319450.875188%0.875188%0.9%180460.840046%0.840046%0.8%559470.816835%0.816835%0.8%538480.811207%0.811207%0.8%216490.581423%0.581423%0.6%12350
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#36

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 Miller Township, selected other county subdivisions in Indiana, and entities that contain the Miller Township
Female
Male
1x0x1xFM#MillerNoblesvilleDearbornWabashCtrWea TownshipAdamsWarrenFranklinElkhartSt. JosephSunman-DearbornWashingtonWayneClay TownshipPerryLawrenceCalumetPenn TownshipJeffersonvilleOhio TownshipPike TownshipWayneMidwestPerryEast North CentralCincinnatiUnited StatesRoss TownshipIndianaNBloomingtonWashingtonKnightPortageAndersonHobartDecaturWashingtonCtrCtrWaynePortageWashingtonConcordNew AlbanyCtrFairfieldAboiteColumbusPleasantSt. JohnDelawareHarrisonCtrWhite RivClay TownshipFall Crk-1.000000x-1.000000x1.539153x1.539153x1.54x4.933%4.93%7.593%7.59%-1.000000x-1.000000x1.368916x1.368916x1.37x5.278%5.28%7.225%7.22%1-1.000000x-1.000000x1.327840x1.327840x1.33x8.066%8.07%10.711%10.7%-1.000000x-1.000000x1.315975x1.315975x1.32x5.455%5.46%7.179%7.18%2-1.000000x-1.000000x1.268582x1.268582x1.27x12.634%12.6%16.027%16.0%3-1.000000x-1.000000x1.261563x1.261563x1.26x10.300%10.3%12.994%13.0%4-1.000000x-1.000000x1.243110x1.243110x1.24x13.682%13.7%17.008%17.0%5-1.000000x-1.000000x1.242727x1.242727x1.24x13.919%13.9%17.298%17.3%6-1.000000x-1.000000x1.229379x1.229379x1.23x6.415%6.42%7.887%7.89%7-1.000000x-1.000000x1.228271x1.228271x1.23x18.842%18.8%23.143%23.1%8-1.000000x-1.000000x1.222685x1.222685x1.22x6.437%6.44%7.871%7.87%9-1.000000x-1.000000x1.220925x1.220925x1.22x7.023%7.02%8.575%8.57%-1.000000x-1.000000x1.218680x1.218680x1.22x4.077%4.08%4.969%4.97%10-1.000000x-1.000000x1.199569x1.199569x1.20x15.997%16.0%19.190%19.2%11-1.000000x-1.000000x1.195034x1.195034x1.20x2.075%2.07%2.479%2.48%12-1.000000x-1.000000x1.184825x1.184825x1.18x13.166%13.2%15.600%15.6%13-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%14-1.000000x-1.000000x1.168789x1.168789x1.17x13.469%13.5%15.743%15.7%15-1.000000x-1.000000x1.164733x1.164733x1.16x10.782%10.8%12.558%12.6%16-1.000000x-1.000000x1.161888x1.161888x1.16x12.085%12.1%14.041%14.0%17-1.000000x-1.000000x1.151492x1.151492x1.15x5.223%5.22%6.014%6.01%18-1.000000x-1.000000x1.134102x1.134102x1.13x9.351%9.35%10.605%10.6%19-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%20-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126339x1.126339x1.13x5.616%5.62%6.326%6.33%21-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106906x1.106906x1.11x9.131%9.13%10.107%10.1%22-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%23-1.000000x-1.000000x1.083251x1.083251x1.08x7.983%7.98%8.648%8.65%24-1.000000x-1.000000x1.081415x1.081415x1.08x11.208%11.2%12.121%12.1%25-1.000000x-1.000000x1.068180x1.068180x1.07x9.969%9.97%10.648%10.6%26-1.000000x-1.000000x1.056311x1.056311x1.06x18.916%18.9%19.981%20.0%27-1.000000x-1.000000x1.055380x1.055380x1.06x14.413%14.4%15.211%15.2%28-1.000000x-1.000000x1.049767x1.049767x1.05x14.731%14.7%15.464%15.5%29-1.000000x-1.000000x1.032740x1.032740x1.03x13.380%13.4%13.818%13.8%30-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%31-1.000000x-1.000000x1.010381x1.010381x1.01x13.405%13.4%13.544%13.5%32-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%33-1.011355x-1.011355x1.01x1.000000x1.000000x18.290%18.3%18.085%18.1%34-1.015833x-1.015833x1.02x1.000000x1.000000x11.580%11.6%11.399%11.4%35-1.022668x-1.022668x1.02x1.000000x1.000000x5.889%5.89%5.758%5.76%36-1.025563x-1.025563x1.03x1.000000x1.000000x22.081%22.1%21.530%21.5%37-1.038459x-1.038459x1.04x1.000000x1.000000x13.769%13.8%13.259%13.3%38-1.071041x-1.071041x1.07x1.000000x1.000000x5.189%5.19%4.845%4.84%39-1.089549x-1.089549x1.09x1.000000x1.000000x12.962%13.0%11.897%11.9%40-1.093153x-1.093153x1.09x1.000000x1.000000x2.650%2.65%2.424%2.42%41-1.099707x-1.099707x1.10x1.000000x1.000000x9.439%9.44%8.583%8.58%42-1.102703x-1.102703x1.10x1.000000x1.000000x9.045%9.05%8.203%8.20%43-1.112325x-1.112325x1.11x1.000000x1.000000x6.278%6.28%5.644%5.64%44-1.142082x-1.142082x1.14x1.000000x1.000000x3.107%3.11%2.720%2.72%45-1.170944x-1.170944x1.17x1.000000x1.000000x17.156%17.2%14.651%14.7%46-1.194691x-1.194691x1.19x1.000000x1.000000x8.269%8.27%6.921%6.92%47-1.236588x-1.236588x1.24x1.000000x1.000000x5.712%5.71%4.619%4.62%48-1.340641x-1.340641x1.34x1.000000x1.000000x10.604%10.6%7.910%7.91%49-1.421606x-1.421606x1.42x1.000000x1.000000x3.566%3.57%2.508%2.51%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#37

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 Miller Township, selected other county subdivisions in Indiana, and entities that contain the Miller Township
Female
Male
0x2x4xFM#AdamsCtrConcordClay TownshipOhio TownshipAboiteAndersonCtrNWhite RivMillerSt. JosephClay TownshipCtrWabashColumbusWashingtonLawrenceSt. JohnWayneFranklinDecaturPenn TownshipIndianaNew AlbanyPerryWashingtonKnightEast North CentralMidwestCincinnatiRoss TownshipUnited StatesPike TownshipPerryWayneFairfieldPortageNoblesvilleDelawareFall CrkWarrenWayneCtrBloomingtonPleasantElkhartJeffersonvilleHarrisonSunman-DearbornDearbornHobartWea TownshipPortageCalumetCtrWashingtonWashington-1.000000x-1.000000x5.217819x5.217819x5.22x0.297%0.30%1.552%1.55%1-1.000000x-1.000000x4.920548x4.920548x4.92x0.343%0.34%1.686%1.69%2-1.000000x-1.000000x4.308574x4.308574x4.31x0.354%0.35%1.527%1.53%3-1.000000x-1.000000x3.730733x3.730733x3.73x2.894%2.89%10.796%10.8%4-1.000000x-1.000000x2.941854x2.941854x2.94x2.023%2.02%5.951%5.95%5-1.000000x-1.000000x2.935012x2.935012x2.94x3.322%3.32%9.751%9.75%6-1.000000x-1.000000x2.902465x2.902465x2.90x0.606%0.61%1.760%1.76%7-1.000000x-1.000000x2.143087x2.143087x2.14x1.728%1.73%3.704%3.70%8-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%9-1.000000x-1.000000x2.098144x2.098144x2.10x2.104%2.10%4.415%4.41%10-1.000000x-1.000000x2.005611x2.005611x2.01x1.305%1.30%2.617%2.62%-1.000000x-1.000000x1.977884x1.977884x1.98x1.943%1.94%3.843%3.84%11-1.000000x-1.000000x1.973355x1.973355x1.97x7.159%7.16%14.128%14.1%12-1.000000x-1.000000x1.956253x1.956253x1.96x3.435%3.43%6.719%6.72%13-1.000000x-1.000000x1.928515x1.928515x1.93x10.174%10.2%19.620%19.6%14-1.000000x-1.000000x1.918490x1.918490x1.92x1.665%1.66%3.194%3.19%15-1.000000x-1.000000x1.906040x1.906040x1.91x3.625%3.63%6.910%6.91%16-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%17-1.000000x-1.000000x1.837195x1.837195x1.84x1.827%1.83%3.357%3.36%18-1.000000x-1.000000x1.820086x1.820086x1.82x1.362%1.36%2.478%2.48%19-1.000000x-1.000000x1.797904x1.797904x1.80x1.730%1.73%3.110%3.11%20-1.000000x-1.000000x1.787156x1.787156x1.79x0.417%0.42%0.745%0.75%21-1.000000x-1.000000x1.709561x1.709561x1.71x1.165%1.17%1.992%1.99%22-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.657824x1.657824x1.66x1.291%1.29%2.141%2.14%23-1.000000x-1.000000x1.654297x1.654297x1.65x7.864%7.86%13.009%13.0%24-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%25-1.000000x-1.000000x1.605585x1.605585x1.61x1.671%1.67%2.683%2.68%26-1.000000x-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-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.536785x1.536785x1.54x1.125%1.12%1.729%1.73%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.518639x1.518639x1.52x3.926%3.93%5.963%5.96%28-1.000000x-1.000000x1.514015x1.514015x1.51x1.777%1.78%2.691%2.69%29-1.000000x-1.000000x1.497053x1.497053x1.50x0.923%0.92%1.382%1.38%30-1.000000x-1.000000x1.446563x1.446563x1.45x2.040%2.04%2.950%2.95%31-1.000000x-1.000000x1.417405x1.417405x1.42x2.609%2.61%3.697%3.70%32-1.000000x-1.000000x1.361506x1.361506x1.36x2.903%2.90%3.953%3.95%33-1.000000x-1.000000x1.354365x1.354365x1.35x4.251%4.25%5.758%5.76%34-1.000000x-1.000000x1.329765x1.329765x1.33x7.550%7.55%10.040%10.0%35-1.000000x-1.000000x1.317700x1.317700x1.32x0.732%0.73%0.965%0.97%36-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%37-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%38-1.000000x-1.000000x1.199873x1.199873x1.20x7.328%7.33%8.793%8.79%39-1.000000x-1.000000x1.199817x1.199817x1.20x0.935%0.94%1.122%1.12%40-1.000000x-1.000000x1.149524x1.149524x1.15x1.958%1.96%2.251%2.25%41-1.000000x-1.000000x1.147252x1.147252x1.15x1.409%1.41%1.617%1.62%42-1.000000x-1.000000x1.131803x1.131803x1.13x1.961%1.96%2.220%2.22%43-1.000000x-1.000000x1.131527x1.131527x1.13x1.522%1.52%1.722%1.72%-1.000000x-1.000000x1.129378x1.129378x1.13x1.139%1.14%1.287%1.29%-1.000000x-1.000000x1.103144x1.103144x1.10x0.772%0.77%0.852%0.85%44-1.000000x-1.000000x1.090487x1.090487x1.09x1.390%1.39%1.516%1.52%45-1.000000x-1.000000x1.050088x1.050088x1.05x1.276%1.28%1.340%1.34%46-1.064408x-1.064408x1.06x1.000000x1.000000x0.839%0.84%0.788%0.79%47-1.164720x-1.164720x1.16x1.000000x1.000000x2.635%2.64%2.262%2.26%48-1.189996x-1.189996x1.19x1.000000x1.000000x1.953%1.95%1.641%1.64%49-1.308468x-1.308468x1.31x1.000000x1.000000x2.305%2.31%1.762%1.76%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Miller Township, selected other county subdivisions in the Midwest, and entities that contain the Miller 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 TownshipBloomingdaleIndianaColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceCincinnati Metro AreaCincinnatiSioux FallsDearborn CountyDearbornCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSunman-Dearborn Community School CorporationSunman-DearbornSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheMiller TownshipMillerFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland 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%9,3752611.923855%11.923855%11.9%517,458517k11.376979%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%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.940523%9.940523%9.9%141,727142k9.702326%9.702326%9.7%9,123349.365994%9.365994%9.4%3,1858.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.791422%7.791422%7.8%1,2887.739434%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%5,331416.253006%6.253006%6.3%3906.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%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%4,166473.522812%3.522812%3.5%2,870483.377424%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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Miller Township, selected other county subdivisions in the Midwest, and entities that contain the Miller 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 RapidsCincinnati Metro AreaCincinnatiUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsMiller TownshipMillerTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthSunman-Dearborn Community School CorporationSunman-DearbornIndianaMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrDearborn CountyDearbornNorth 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%27,10227.1k2831.723093%31.723093%31.7%452,292452k30.315023%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%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.112394%27.112394%27.1%1,69127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3524.777690%24.777690%24.8%4,09624.611498%24.611498%24.6%1,068,0621.07M23.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.964124%19.964124%20.0%6,78919.650916%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#40

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 Miller Township, selected other county subdivisions in the Midwest, and entities that contain the Miller Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsCincinnati Metro AreaCincinnatiLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaIndianaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthMiller TownshipMillerClevelandToledoSunman-Dearborn Community School CorporationSunman-DearbornNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonDearborn CountyDearbornWayne 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%3,970193.487439%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%3,846243.129371%3.129371%3.1%44,61744.6k3.083448%3.083448%3.1%2,472252.911721%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%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.359248%2.359248%2.4%102,384102k2.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%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%2,049381.956069%1.956069%2.0%1221.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.621197%1.621197%1.6%2681.575684%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%1,106451.211551%1.211551%1.2%4121.183365%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#41

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 Miller Township, selected other county subdivisions in the Midwest, and entities that contain the Miller Township
Female
Male
1x0x1xFM#MillerDearbornCedar RapidsLincolnDetroitOmahaToledoSunman-DearbornThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeCincinnatiKaw TownshipDaytonSioux FallsUnited StatesOlatheIndianaWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.539153x1.539153x1.54x4.933%4.93%7.593%7.59%-1.000000x-1.000000x1.327840x1.327840x1.33x8.066%8.07%10.711%10.7%-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-1.000000x1.220925x1.220925x1.22x7.023%7.02%8.575%8.57%-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-1.000000x1.181964x1.181964x1.18x9.406%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-1.000000x1.125507x1.125507x1.13x10.423%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-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-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-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-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%42-1.031649x-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%45-1.092939x-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#42

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 Miller Township, selected other county subdivisions in the Midwest, and entities that contain the Miller Township
Female
Male
1x0x1x2xFM#RockfordNMillerDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonIndianaGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleCincinnatiKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoSunman-DearbornDearbornMinneapolisWorthDetroitProvisoThornton-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-1.000000x2.005611x2.005611x2.01x1.305%1.30%2.617%2.62%-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-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-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-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-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-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-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-1.000000x1.476996x1.476996x1.48x1.170%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-1.000000x1.131527x1.131527x1.13x1.522%1.52%1.722%1.72%-1.000000x-1.000000x1.129378x1.129378x1.13x1.139%1.14%1.287%1.29%-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%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Miller Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Miller Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Miller Township, selected other county subdivisions in the United States, and entities that contain the Miller 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 FranciscoTucsonAlbuquerqueIndianaTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonCincinnati Metro AreaCincinnatiAtlantaDearborn CountyDearbornSeattleNortheast TarrantNE TarrantSunman-Dearborn Community School CorporationSunman-DearbornMiller TownshipMillerPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.923855%11.923855%11.9%517,458517k11.553484%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%3,363,7843.36M10.435356%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%46,51046.5k459.940523%9.940523%9.9%141,727142k9.538552%9.538552%9.5%37,37337.4k469.365994%9.365994%9.4%3,1858.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.791422%7.791422%7.8%1,2886.253006%6.253006%6.3%3905.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Miller Township, selected other county subdivisions in the United States, and entities that contain the Miller 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 CityAlbuquerqueTampaTucsonCincinnati Metro AreaCincinnatiOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyMiller TownshipMillerOntarioPhiladelphiaMiamiSunman-Dearborn Community School CorporationSunman-DearbornFort WorthIndianaSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoDearborn CountyDearbornBronxSan 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%184,237184k2631.723093%31.723093%31.7%452,292452k31.198303%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%209,283209k3627.276345%27.276345%27.3%170,682171k3727.112394%27.112394%27.1%1,69126.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.777690%24.777690%24.8%4,09624.665414%24.665414%24.7%131,349131k4124.611498%24.611498%24.6%1,068,0621.07M23.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.964124%19.964124%20.0%6,78919.131504%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#45

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 Miller Township, selected other county subdivisions in the United States, and entities that contain the Miller Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaCincinnati Metro AreaCincinnatiPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyIndianaOntarioFort WorthLas VegasMilwaukeeMiller TownshipMillerSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxSunman-Dearborn Community School CorporationSunman-DearbornDetroitDearborn CountyDearborn12.461852%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%45,61045.6k253.490252%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%12,13312.1k313.129371%3.129371%3.1%44,61744.6k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%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%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.359248%2.359248%2.4%102,384102k2.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.956069%1.956069%2.0%1221.807306%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%15,06415.1k491.621197%1.621197%1.6%2681.318660%1.318660%1.3%5,693501.211551%1.211551%1.2%412
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#46

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 Miller Township, selected other county subdivisions in the United States, and entities that contain the Miller Township
Female
Male
1x0x1xFM#MillerDearborn1, CharlotteDetroitSunman-DearbornBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeCincinnatiUnited StatesIndianaNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.539153x1.539153x1.54x4.933%4.93%7.593%7.59%-1.000000x-1.000000x1.327840x1.327840x1.33x8.066%8.07%10.711%10.7%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.220925x1.220925x1.22x7.023%7.02%8.575%8.57%-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-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-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%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

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 Miller Township, selected other county subdivisions in the United States, and entities that contain the Miller Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityMillerPlanoTulsaAlbuquerqueNE DallasIndianaFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestCincinnatiNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodSunman-DearbornDenverDearbornSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x2.005611x2.005611x2.01x1.305%1.30%2.617%2.62%-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-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%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-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-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-1.000000x1.476874x1.476874x1.48x3.518%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-1.000000x1.131527x1.131527x1.13x1.522%1.52%1.722%1.72%-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.129378x1.129378x1.13x1.139%1.14%1.287%1.29%-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Indiana
County:
Dearborn
Metro Area:
Cincinnati Area
Unincorporated Places:
Bright, Hidden Valley
ZIP Codes:
47022, 47025
Unified School District:
Sunman-Dearborn
Congressional District:
IN-6
State Senate District:
IN-43
State House District:
IN-68
Neighboring Townships:
Harrison, Harrison, Kelso, Lawrenceburg, Logan, Manchester, Whitewater, York
Nearby Townships:
Center, Crosby, Green, Highland, Hogan, Jackson, Miami, Sparta, Whitewater