Educational Attainment in the German Township, Vanderburgh County, Indiana (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Vanderburgh County and the German Township
German Township
Vanderburgh County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma250.070696%33.281084%50.070696%50.1%2,83346.235419%56.499306%46.235419%46.2%2,6163.693885%10.219610%3.693885%3.7%209
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 Vanderburgh County at large.
Scope: population of Vanderburgh County and the German Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma250.447912%50.447912%+50.4%50.071%50.1%33.281%33.3%-18.166395%-18.166395%-18.2%46.235%46.2%56.499%56.5%-63.854933%-63.854933%-63.9%3.694%3.69%10.220%10.2%
% percentage with given level in the German Township
ref. percentage with given level in Vanderburgh 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 Vanderburgh County and the German Township
German Township
Vanderburgh County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.265111%0.870275%0.265111%0.3%152.633439%1.203364%2.633439%2.6%14913.078826%6.763001%13.078826%13.1%74021.615412%16.065801%21.615412%21.6%1,22312.477907%8.378643%12.477907%12.5%70617.974549%22.716140%17.974549%18.0%1,01728.260870%33.783166%28.260870%28.3%1,5992.757158%7.701853%2.757158%2.8%1560.477200%1.795249%0.477200%0.5%270.459526%0.722508%0.459526%0.5%26
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 Vanderburgh County at large.
Scope: population of Vanderburgh County and the German Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-69.537065%-69.537065%-69.5%0.265%0.27%0.870%0.87%118.839884%118.839884%+118.8%2.633%2.63%1.203%1.20%93.387911%93.387911%+93.4%13.079%13.1%6.763%6.76%34.543005%34.543005%+34.5%21.615%21.6%16.066%16.1%48.925156%48.925156%+48.9%12.478%12.5%8.379%8.38%-20.873224%-20.873224%-20.9%17.975%18.0%22.716%22.7%-16.346296%-16.346296%-16.3%28.261%28.3%33.783%33.8%-64.201369%-64.201369%-64.2%2.757%2.76%7.702%7.70%-73.418699%-73.418699%-73.4%0.477%0.48%1.795%1.80%-36.398440%-36.398440%-36.4%0.460%0.46%0.723%0.72%
% percentage with given level in the German Township
ref. percentage with given level in Vanderburgh 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 Vanderburgh County and the German Township
More Females More Males
Vanderburgh County
German Township
0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-9.083102%-6.983692%-9.083102%9%52.315%52.3%47.959%48.0%8.005813%2.464270%8.005813%8%44.404%44.4%47.959%48.0%24.420431%8.832451%24.420431%24%3.281%3.28%4.082%4.08%
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 Vanderburgh County and the German Township
More Females More Males
Vanderburgh County
German Township
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%37.625495%1,000.000000%> 1000%0.000%0%0.515%0.51%65.545391%73.602903%65.545391%66%1.969%1.97%3.259%3.26%-38.714462%-37.581092%-38.714462%39%15.275%15.3%11.012%11.0%-19.369823%-19.369823%19%0.204269%23.587%23.6%19.760%19.8%-13.883761%16.802853%16.802853%17%11.484%11.5%13.413%13.4%-0.773756%-0.580646%-0.773756%1%18.046%18.0%17.907%17.9%14.012655%4.559668%14.012655%14%26.358%26.4%30.051%30.1%28.317480%15.164110%28.317480%28%2.406%2.41%3.087%3.09%-32.838133%-34.997480%-32.838133%33%0.547%0.55%0.412%0.41%77.743472%53.507174%77.743472%78%0.328%0.33%0.583%0.58%
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 Vanderburgh County and the German Township
German Township
Vanderburgh County
0%10%20%30%B.X.Total65+45-6435-4425-3412.969525%9.326182%12.969525%13.0%1831,41118.411284%15.954735%18.411284%18.4%4962,69430.601093%19.329474%30.601093%30.6%22473238.976857%20.921917%38.976857%39.0%320821
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 Vanderburgh County at large.
Scope: population of Vanderburgh County and the German Township
0%20%40%60%80%%ref.65+45-6435-4425-3439.065746%39.065746%39.1%12.970%13.0%9.326%9.33%15.396994%15.396994%15.4%18.411%18.4%15.955%16.0%58.313116%58.313116%58.3%30.601%30.6%19.329%19.3%86.296780%86.296780%86.3%38.977%39.0%20.922%20.9%
% percentage in the German Township with a Bachelor's degree
ref percentage in Vanderburgh 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 Vanderburgh County and the German Township
More Females More Males
Vanderburgh County
German Township
150%100%50%0%50%100%FM65+45-6435-4425-3439.060057%105.552900%39.060057%39.1%10.979%11.0%15.267%15.3%-1.475236%-8.026492%-1.475236%1.5%18.546%18.5%18.276%18.3%-151.761335%-20.357717%-151.761335%151.8%44.699%44.7%17.755%17.8%-78.582375%-22.361390%-78.582375%78.6%54.483%54.5%30.508%30.5%
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 Vanderburgh County and the German Township
German Township
Vanderburgh County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$65,398.000000$53,498.000000$65,398.000000$65.4k90415.977%16.0%$63,156.000000$41,676.000000$63,156.000000$63.2k1,22321.615%21.6%$41,678.000000$31,130.000000$41,678.000000$41.7k1,72330.452%30.5%$34,528.000000$27,171.000000$34,528.000000$34.5k1,59928.261%28.3%$23,458.000000$18,732.000000$23,458.000000$23.5k2093.694%3.69%$47,846.000000$32,169.000000$47,846.000000$47.8k5,658100.000%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 Vanderburgh County and the German Township
Female Male
Vanderburgh County
German Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-47,938.000000$-47,740.000000$-47,938.000000$47.9k$47,938.000000$40,017.000000$47,740.000000$20,369.000000$87,955.000000$88.0k473431$-51,538.000000$-35,708.000000$-51,538.000000$51.5k$51,538.000000$30,853.000000$35,708.000000$17,299.000000$82,391.000000$82.4k647576$-22,181.000000$-25,646.000000$-22,181.000000$22.2k$22,181.000000$29,950.000000$25,646.000000$15,400.000000$52,131.000000$52.1k810913$-33,008.000000$-22,566.000000$-33,008.000000$33.0k$33,008.000000$3,409.000000$22,566.000000$10,138.000000$36,417.000000$36.4k723876$-37,240.000000$-27,140.000000$-37,240.000000$37.2k$37,240.000000$20,903.000000$27,140.000000$13,381.000000$58,143.000000$58.1k2,7432,915
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 Vanderburgh County and the German Township
German Township
Vanderburgh County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.128588%86.026132%78.128588%78.1%1,36177.715487%75.564967%77.715487%77.7%1,10953.909465%67.053452%53.909465%53.9%52475.471698%51.934472%75.471698%75.5%80
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 Vanderburgh County and the German Township
Female Male
Vanderburgh County
German Township
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1Hispanic2-2.988930%-8.870068%-2.988930%3.0%2.988930%0.696912%8.870068%0.551832%3.685842%3.7%10781-27.272727%-42.985075%-27.272727%27.3%27.272727%72.727273%42.985075%0.225935%100.000000%100.0%129
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 Vanderburgh County and the German Township
Female Male
Vanderburgh County
German Township
Shaded bar tips show excess over facing bar.
40%20%0%20%MFWhite1Hispanic2-34.688254%-6.640160%-25.614938%-0.617853%-41.328413%41.3%34.688254%25.614938%34.688254%34.7%1,0071,120-0.000000%-15.137615%-4.165868%0.000000%0.0%0.000000%0.000000%15.137615%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Evansville Area

There are 32 county subdivisions in the Evansville Area. This section compares the German Township to all of the county subdivisions in the Evansville Area and to those entities that contain or substantially overlap with the German Township.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the German Township, selected other county subdivisions in the Evansville Area, and entities that contain the German Township
0%5%10%15%20%Count#CorydonPigeon TownshipPigeonHendersonSkelton TownshipSkeltonUnion TownshipUnionLane TownshipUnited States of AmericaUnited StatesIndianaSmith TownshipSmithHarmony TownshipHarmonyBethel TownshipBethelHebbardsville-RobardsHebbardsville-Roba…Boon TownshipEast North CentralKnight TownshipKnightMidwestVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Pigeon TownshipPigeonPerry TownshipPerryEvansville Metro AreaEvansvilleRobb TownshipHart TownshipBlack TownshipBlackZIP Code 47720ZIP 47720SpottsvilleAnderson TownshipAndersonCenter TownshipCtrOwen TownshipGreer TownshipGreerOhio TownshipArmstrong TownshipArmstrongScott TownshipScottPoint TownshipPt010500Tract 010500German TownshipGermanCampbell TownshipCampbellRobinson TownshipRobinsonCenter TownshipCtrMarrs TownshipMarrsLynn Township20.628166%20.628166%20.6%1,018117.941440%17.941440%17.9%3,603215.503979%15.503979%15.5%2,338315.004660%15.004660%15.0%161413.899614%13.899614%13.9%36513.868613%13.868613%13.9%19613.020590%13.020590%13.0%27,818,38027.8M11.923855%11.923855%11.9%517,458517k11.894882%11.894882%11.9%86711.736641%11.736641%11.7%123811.707317%11.707317%11.7%24911.128237%11.128237%11.1%3611010.756709%10.756709%10.8%9781110.719464%10.719464%10.7%3,363,7843.36M10.287806%10.287806%10.3%4,7221210.244520%10.244520%10.2%4,641,8354.64M10.219610%10.219610%10.2%12,51812.5k10.219610%10.219610%10.2%12,51812.5k9.855769%9.855769%9.9%82139.791867%9.791867%9.8%1,529149.774004%9.774004%9.8%20,91520.9k9.327731%9.327731%9.3%111158.163265%8.163265%8.2%88168.112000%8.112000%8.1%507177.737956%7.737956%7.7%9917.706443%7.706443%7.7%671187.658158%7.658158%7.7%69197.616061%7.616061%7.6%2,113207.352941%7.352941%7.4%30215.767844%5.767844%5.8%80225.604955%5.604955%5.6%1,475234.301887%4.301887%4.3%57244.214624%4.214624%4.2%249253.797468%3.797468%3.8%9263.693885%3.693885%3.7%2093.693885%3.693885%3.7%209273.531300%3.531300%3.5%22282.415788%2.415788%2.4%71291.544402%1.544402%1.5%16301.435407%1.435407%1.4%48311.406470%1.406470%1.4%1032
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the German Township, selected other county subdivisions in the Evansville Area, and entities that contain the German Township
0%10%20%30%40%Count#Scott TownshipScott010500Tract 010500German TownshipGermanOhio TownshipCenter TownshipCtrUnited States of AmericaUnited StatesMidwestMarrs TownshipMarrsEast North CentralZIP Code 47720ZIP 47720Center TownshipCtrSpottsvillePerry TownshipPerryVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…IndianaEvansville Metro AreaEvansvilleRobb TownshipHarmony TownshipHarmonyKnight TownshipKnightGreer TownshipGreerArmstrong TownshipArmstrongCampbell TownshipCampbellHebbardsville-RobardsHebbardsville-Roba…Boon TownshipRobinson TownshipRobinsonBlack TownshipBlackHart TownshipPoint TownshipPtSmith TownshipSmithHendersonLynn TownshipBethel TownshipBethelOwen TownshipPigeon TownshipPigeonCorydonSkelton TownshipSkeltonUnion TownshipUnionLane TownshipPigeon TownshipPigeonAnderson TownshipAnderson40.961408%40.961408%41.0%2,420137.592789%37.592789%37.6%2,12737.592789%37.592789%37.6%2,127234.397325%34.397325%34.4%9,052330.875144%30.875144%30.9%8,566430.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.588517%28.588517%28.6%956528.462853%28.462853%28.5%8,931,6868.93M28.218943%28.218943%28.2%3,61428.185328%28.185328%28.2%292626.369588%26.369588%26.4%2,296725.020813%25.020813%25.0%3,907824.902441%24.902441%24.9%30,50330.5k24.902441%24.902441%24.9%30,50330.5k24.611498%24.611498%24.6%1,068,0621.07M24.033815%24.033815%24.0%51,42951.4k24.033613%24.033613%24.0%286923.854962%23.854962%23.9%2501023.643217%23.643217%23.6%10,85210.9k1122.566691%22.566691%22.6%3131220.754717%20.754717%20.8%2751320.706260%20.706260%20.7%1291419.821208%19.821208%19.8%6431519.676639%19.676639%19.7%1,7891618.101395%18.101395%18.1%5321716.576000%16.576000%16.6%1,0361816.512059%16.512059%16.5%1781916.455696%16.455696%16.5%392016.182573%16.182573%16.2%1172114.396552%14.396552%14.4%2,1712214.064698%14.064698%14.1%1002313.658537%13.658537%13.7%282412.254902%12.254902%12.3%502511.637287%11.637287%11.6%2,337269.381966%9.381966%9.4%463279.319664%9.319664%9.3%100287.335907%7.335907%7.3%19296.569343%6.569343%6.6%9305.769231%5.769231%5.8%48315.438402%5.438402%5.4%4932
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the German Township, selected other county subdivisions in the Evansville Area, and entities that contain the German Township
0%1%2%3%4%Count#Scott TownshipScottOhio TownshipPoint TownshipPtUnited States of AmericaUnited StatesArmstrong TownshipArmstrong010500Tract 010500German TownshipGermanMidwestEast North CentralCampbell TownshipCampbellSkelton TownshipSkeltonZIP Code 47720ZIP 47720Robb TownshipLynn TownshipCenter TownshipCtrMarrs TownshipMarrsSpottsvilleGreer TownshipGreerIndianaKnight TownshipKnightEvansville Metro AreaEvansvilleVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Harmony TownshipHarmonyPerry TownshipPerryCenter TownshipCtrBlack TownshipBlackHendersonBoon TownshipHebbardsville-RobardsHebbardsville-Roba…Robinson TownshipRobinsonPigeon TownshipPigeonHart TownshipCorydonAnderson TownshipAndersonPigeon TownshipPigeonSmith TownshipSmithOwen TownshipUnion TownshipUnionBethel TownshipBethelLane Township4.062288%4.062288%4.1%24013.921569%3.921569%3.9%1,03223.797468%3.797468%3.8%933.336158%3.336158%3.3%7,127,6737.13M3.245283%3.245283%3.2%4342.898551%2.898551%2.9%1642.898551%2.898551%2.9%16452.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.728732%2.728732%2.7%1762.702703%2.702703%2.7%2972.607949%2.607949%2.6%3342.605042%2.605042%2.6%3182.531646%2.531646%2.5%1892.454585%2.454585%2.5%681102.422249%2.422249%2.4%81112.411853%2.411853%2.4%210122.379236%2.379236%2.4%33132.359248%2.359248%2.4%102,384102k2.146016%2.146016%2.1%985142.090324%2.090324%2.1%4,4732.073639%2.073639%2.1%2,5402.073639%2.073639%2.1%2,5401.908397%1.908397%1.9%20151.812360%1.812360%1.8%283161.737452%1.737452%1.7%18171.552000%1.552000%1.6%97181.187003%1.187003%1.2%179191.143863%1.143863%1.1%104200.863132%0.863132%0.9%28210.748554%0.748554%0.7%22220.717060%0.717060%0.7%144230.463822%0.463822%0.5%5240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%032
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in the Evansville Area, and entities that contain the German Township
Female
Male
10x5x0x5x10xFM#CtrPtUnionGreerCampbellScottSmithBlackPerryTract 010500GermanPigeonBoon TownshipOhio TownshipMidwestEast North CentralUnited StatesIndianaCorydonHebbardsville-RobardsHebbardsville-Roba…PigeonVanderburghEvansville-VanderburghEvansville-Vanderb…EvansvilleKnightHendersonLane TownshipSpottsvilleHart TownshipAndersonLynn TownshipZIP 47720SkeltonCtrRobinsonRobb TownshipMarrsBethelArmstrongHarmonyOwen Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.957%2.96%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%19.672%19.7%3-1.000000x-1.000000x2.097993x2.097993x2.10x3.730%3.73%7.826%7.83%4-1.000000x-1.000000x1.990270x1.990270x1.99x2.333%2.33%4.644%4.64%5-1.000000x-1.000000x1.625731x1.625731x1.63x3.237%3.24%5.263%5.26%6-1.000000x-1.000000x1.557347x1.557347x1.56x9.222%9.22%14.362%14.4%7-1.000000x-1.000000x1.361675x1.361675x1.36x6.909%6.91%9.408%9.41%8-1.000000x-1.000000x1.334285x1.334285x1.33x8.479%8.48%11.314%11.3%9-1.000000x-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%-1.000000x-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%10-1.000000x-1.000000x1.196166x1.196166x1.20x16.410%16.4%19.629%19.6%11-1.000000x-1.000000x1.192822x1.192822x1.19x9.861%9.86%11.762%11.8%12-1.000000x-1.000000x1.151492x1.151492x1.15x5.223%5.22%6.014%6.01%13-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-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-1.000000x1.094968x1.094968x1.09x19.691%19.7%21.561%21.6%14-1.000000x-1.000000x1.094783x1.094783x1.09x10.632%10.6%11.640%11.6%15-1.000000x-1.000000x1.094627x1.094627x1.09x9.451%9.45%10.345%10.3%16-1.000000x-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-1.000000x-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-1.000000x-1.000000x1.073397x1.073397x1.07x9.442%9.44%10.135%10.1%-1.000000x-1.000000x1.068180x1.068180x1.07x9.969%9.97%10.648%10.6%17-1.000000x-1.000000x1.058726x1.058726x1.06x15.106%15.1%15.993%16.0%18-1.000000x-1.000000x1.032864x1.032864x1.03x13.636%13.6%14.085%14.1%19-1.000000x-1.000000x1.018602x1.018602x1.02x7.637%7.64%7.779%7.78%20-1.008387x-1.008387x1.01x1.000000x1.000000x8.197%8.20%8.129%8.13%21-1.013282x-1.013282x1.01x1.000000x1.000000x7.710%7.71%7.609%7.61%22-1.043103x-1.043103x1.04x1.000000x1.000000x1.437%1.44%1.377%1.38%23-1.096225x-1.096225x1.10x1.000000x1.000000x8.087%8.09%7.377%7.38%-1.163106x-1.163106x1.16x1.000000x1.000000x16.206%16.2%13.933%13.9%24-1.194691x-1.194691x1.19x1.000000x1.000000x8.269%8.27%6.921%6.92%25-1.196561x-1.196561x1.20x1.000000x1.000000x2.630%2.63%2.198%2.20%26-1.366331x-1.366331x1.37x1.000000x1.000000x10.744%10.7%7.863%7.86%27-3.391919x-3.391919x3.39x1.000000x1.000000x2.222%2.22%0.655%0.66%28-4.314583x-4.314583x4.31x1.000000x1.000000x19.792%19.8%4.587%4.59%29-4.970031x-4.970031x4.97x1.000000x1.000000x7.298%7.30%1.468%1.47%30-7.123158x-7.123158x7.12x1.000000x1.000000x19.332%19.3%2.714%2.71%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.706%14.7%0.000%0%32
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 32 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in the Evansville Area, and entities that contain the German Township
Female
Male
10x5x0x5x10xFM#Robb TownshipHart TownshipCampbellArmstrongPerryZIP 47720Ohio TownshipBoon TownshipScottHarmonyHendersonGreerTract 010500GermanEvansvilleIndianaKnightBlackEast North CentralHebbardsville-RobardsHebbardsville-Roba…MidwestVanderburghEvansville-VanderburghEvansville-Vanderb…United StatesSpottsvilleCtrSkeltonPigeonCtrMarrsLynn TownshipRobinsonPt-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.299%5.30%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.945%0.95%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.263%5.26%3-1.000000x-1.000000x9.220264x9.220264x9.22x0.621%0.62%5.727%5.73%4-1.000000x-1.000000x4.807695x4.807695x4.81x0.656%0.66%3.154%3.15%5-1.000000x-1.000000x3.330783x3.330783x3.33x1.215%1.21%4.046%4.05%-1.000000x-1.000000x2.941854x2.941854x2.94x2.023%2.02%5.951%5.95%6-1.000000x-1.000000x2.901259x2.901259x2.90x0.603%0.60%1.750%1.75%7-1.000000x-1.000000x2.454631x2.454631x2.45x2.387%2.39%5.860%5.86%8-1.000000x-1.000000x2.206084x2.206084x2.21x1.230%1.23%2.714%2.71%9-1.000000x-1.000000x2.057957x2.057957x2.06x0.805%0.81%1.657%1.66%10-1.000000x-1.000000x2.020290x2.020290x2.02x1.578%1.58%3.188%3.19%11-1.000000x-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%-1.000000x-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%12-1.000000x-1.000000x1.822958x1.822958x1.82x1.500%1.50%2.734%2.73%-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.605585x1.605585x1.61x1.671%1.67%2.683%2.68%13-1.000000x-1.000000x1.602871x1.602871x1.60x1.203%1.20%1.928%1.93%14-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.591876x1.591876x1.59x0.668%0.67%1.064%1.06%15-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-1.000000x-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.450550x1.450550x1.45x1.977%1.98%2.867%2.87%16-1.000000x-1.000000x1.437814x1.437814x1.44x1.414%1.41%2.033%2.03%17-1.000000x-1.000000x1.098358x1.098358x1.10x2.569%2.57%2.822%2.82%18-1.000000x-1.000000x1.042798x1.042798x1.04x0.703%0.70%0.733%0.73%19-1.164720x-1.164720x1.16x1.000000x1.000000x2.635%2.64%2.262%2.26%20-1.260511x-1.260511x1.26x1.000000x1.000000x2.703%2.70%2.144%2.14%21-1.303879x-1.303879x1.30x1.000000x1.000000x2.874%2.87%2.204%2.20%22-4.418071x-4.418071x4.42x1.000000x1.000000x1.214%1.21%0.275%0.27%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.108%8.11%0.000%0%24
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 24 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 German Township to the 50 most populous county subdivisions in Indiana and to those entities that contain or substantially overlap with the German Township. The least populous of the compared county subdivisions has a population of 32,697.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the German Township, selected other county subdivisions in Indiana, and entities that contain the German 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 TownshipKnightMidwestVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Lawrence TownshipLawrencePike TownshipEvansville Metro AreaEvansvilleRoss TownshipClay TownshipColumbus TownshipColumbusPleasant TownshipPleasantBloomington TownshipBloomingtonZIP Code 47720ZIP 47720Center TownshipCtrFranklin TownshipFranklinSt. Joseph TownshipSt. JosephWashington TownshipWashingtonWabash TownshipWabashNoblesville TownshipNoblesvilleSt. John TownshipSt. JohnPerry TownshipPerryWashington TownshipWashingtonOhio TownshipWhite River TownshipWhite RivCenter TownshipCtrWashington TownshipWashington010500Tract 010500German TownshipGermanFall 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%4,641,8354.64M10.219610%10.219610%10.2%12,51812.5k10.219610%10.219610%10.2%12,51812.5k10.179618%10.179618%10.2%8,161279.909467%9.909467%9.9%5,035289.774004%9.774004%9.8%20,91520.9k9.596081%9.596081%9.6%3,193299.305117%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%1,361337.737956%7.737956%7.7%9917.616061%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%1,476386.187687%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%1,040463.693885%3.693885%3.7%2093.693885%3.693885%3.7%2093.059982%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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the German Township, selected other county subdivisions in Indiana, and entities that contain the German Township
0%20%40%60%Count#Clay TownshipFall Creek TownshipFall CrkWabash TownshipWabashDelaware TownshipDelawarePerry TownshipPerryWashington TownshipWashingtonBloomington TownshipBloomingtonWashington TownshipWashingtonAboite TownshipAboiteWhite River TownshipWhite RivNoblesville TownshipNoblesvilleClay TownshipCenter TownshipCtrWashington TownshipWashington010500Tract 010500German TownshipGermanPike TownshipLawrence TownshipLawrenceColumbus TownshipColumbusOhio TownshipFranklin TownshipFranklinSt. Joseph TownshipSt. JosephSt. John TownshipSt. JohnCenter TownshipCtrUnited States of AmericaUnited StatesMidwestEast North CentralZIP Code 47720ZIP 47720Fairfield TownshipFairfieldPleasant TownshipPleasantVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Wea TownshipWashington TownshipWashingtonIndianaPerry TownshipPerryPenn TownshipEvansville Metro AreaEvansvilleKnight TownshipKnightRoss TownshipNew Albany TownshipNew AlbanyElkhart TownshipElkhartPortage TownshipPortageCenter TownshipCtrCenter TownshipCtrNorth 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%11,98812.0k1437.592789%37.592789%37.6%2,12737.592789%37.592789%37.6%2,12737.193466%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%11,93711.9k1931.579271%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%8,931,6868.93M28.218943%28.218943%28.2%3,61426.099357%26.099357%26.1%8,9682325.634914%25.634914%25.6%9,3572424.902441%24.902441%24.9%30,50330.5k24.902441%24.902441%24.9%30,50330.5k24.837545%24.837545%24.8%5,1602524.738800%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%10,89110.9k2824.033815%24.033815%24.0%51,42951.4k23.643217%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%19,93119.9k3519.650916%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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the German Township, selected other county subdivisions in Indiana, and entities that contain the German 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 RivPortage TownshipPortageLawrence TownshipLawrence010500Tract 010500German TownshipGermanMidwestEast North CentralSt. Joseph TownshipSt. JosephCenter TownshipCtrZIP Code 47720ZIP 47720Center TownshipCtrSt. John TownshipSt. JohnFairfield TownshipFairfieldCenter TownshipCtrColumbus TownshipColumbusFranklin TownshipFranklinIndianaPerry TownshipPerryKnight TownshipKnightElkhart TownshipElkhartEvansville Metro AreaEvansvilleHarrison TownshipHarrisonVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Washington TownshipWashingtonWayne TownshipWayneWashington TownshipWashingtonNew Albany TownshipNew AlbanyNorth TownshipNPenn TownshipJeffersonville TownshipJeffersonvilleWea TownshipRoss TownshipPortage TownshipPortageWayne 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%945153.122641%3.122641%3.1%1,696163.083448%3.083448%3.1%2,472172.898551%2.898551%2.9%1642.898551%2.898551%2.9%1642.893416%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%1,000192.607949%2.607949%2.6%3342.602914%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%503282.090324%2.090324%2.1%4,4732.083470%2.083470%2.1%636292.073639%2.073639%2.1%2,5402.073639%2.073639%2.1%2,5402.043867%2.043867%2.0%629301.879112%1.879112%1.9%517311.800697%1.800697%1.8%455321.690124%1.690124%1.7%580331.575684%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%421391.183365%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#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in Indiana, and entities that contain the German Township
Female
Male
1x0x1xFM#NoblesvilleWabashCtrWea TownshipTract 010500GermanAdamsWarrenFranklinElkhartSt. JosephWashingtonWayneClay TownshipPerryLawrenceCalumetPenn TownshipJeffersonvilleOhio TownshipPike TownshipWayneMidwestPerryEast North CentralUnited StatesRoss TownshipIndianaNVanderburghEvansville-VanderburghEvansville-Vanderb…BloomingtonWashingtonEvansvilleKnightPortageAndersonHobartDecaturWashingtonCtrCtrWaynePortageWashingtonConcordNew AlbanyCtrFairfieldAboiteZIP 47720ColumbusPleasantSt. JohnDelawareHarrisonCtrWhite RivClay TownshipFall Crk-1.000000x-1.000000x1.368916x1.368916x1.37x5.278%5.28%7.225%7.22%1-1.000000x-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-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%-1.000000x-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%-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-1.000000x1.218680x1.218680x1.22x4.077%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-1.000000x1.109070x1.109070x1.11x12.369%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-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-1.000000x-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-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-1.000000x1.073397x1.073397x1.07x9.442%9.44%10.135%10.1%-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%41-1.096225x-1.096225x1.10x1.000000x1.000000x8.087%8.09%7.377%7.38%-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#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in Indiana, and entities that contain the German Township
Female
Male
0x2x4xFM#AdamsCtrConcordClay TownshipZIP 47720Ohio TownshipAboiteAndersonCtrNWhite RivSt. JosephClay TownshipCtrWabashColumbusTract 010500GermanWashingtonLawrenceSt. JohnEvansvilleWayneFranklinDecaturPenn TownshipIndianaNew AlbanyPerryWashingtonKnightEast North CentralMidwestVanderburghEvansville-VanderburghEvansville-Vanderb…Ross TownshipUnited StatesPike TownshipPerryWayneFairfieldPortageNoblesvilleDelawareFall CrkWarrenWayneCtrBloomingtonPleasantElkhartJeffersonvilleHarrisonHobartWea 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-1.000000x3.330783x3.330783x3.33x1.215%1.21%4.046%4.05%-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-1.000000x1.977884x1.977884x1.98x1.943%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-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%-1.000000x-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%-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-1.000000x1.822958x1.822958x1.82x1.500%1.50%2.734%2.73%-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-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-1.000000x-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-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-1.000000x1.103144x1.103144x1.10x0.772%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 German Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the German Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the German Township, selected other county subdivisions in the Midwest, and entities that contain the German 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 TownshipWorthMidwestVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Lawrence TownshipLawrenceEvansville Metro AreaEvansvilleSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgZIP Code 47720ZIP 47720LincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners Grv010500Tract 010500German TownshipGermanLisle 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%4,641,8354.64M10.219610%10.219610%10.2%12,51812.5k10.219610%10.219610%10.2%12,51812.5k10.179618%10.179618%10.2%8,161339.774004%9.774004%9.8%20,91520.9k9.702326%9.702326%9.7%9,123348.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.737956%7.737956%7.7%9917.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%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%4,166473.693885%3.693885%3.7%2093.693885%3.693885%3.7%2093.522812%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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the German Township, selected other county subdivisions in the Midwest, and entities that contain the German Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargo010500Tract 010500German TownshipGermanLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralZIP Code 47720ZIP 47720Sterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…IndianaEvansville Metro AreaEvansvilleMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.592789%37.592789%37.6%2,12737.592789%37.592789%37.6%2,12737.146608%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%27,10227.1k2830.315023%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%8,931,6868.93M28.218943%28.218943%28.2%3,61427.532180%27.532180%27.5%25,60325.6k3127.007248%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%26,38926.4k3524.902441%24.902441%24.9%30,50330.5k24.902441%24.902441%24.9%30,50330.5k24.611498%24.611498%24.6%1,068,0621.07M24.033815%24.033815%24.0%51,42951.4k23.517740%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%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the German Township, selected other county subdivisions in the Midwest, and entities that contain the German 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 RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar Rapids010500Tract 010500German TownshipGermanMidwestEast North CentralSioux FallsOlatheZIP Code 47720ZIP 47720Center TownshipCtrSchaumburg TownshipSchaumburgWichitaIndianaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleEvansville Metro AreaEvansvilleVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Rockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.898551%2.898551%2.9%1642.898551%2.898551%2.9%1642.893416%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%2,349292.607949%2.607949%2.6%3342.602914%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%1,628352.090324%2.090324%2.1%4,4732.073639%2.073639%2.1%2,5402.073639%2.073639%2.1%2,5402.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in the Midwest, and entities that contain the German Township
Female
Male
1x0x1xFM#Tract 010500GermanCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheIndianaWorthNOverland ParkVanderburghEvansville-VanderburghEvansville-Vanderb…AuroraWheelingGrand RapidsSchaumburgEvansvilleChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisZIP 47720Sterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%-1.000000x-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%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-1.000000x1.115695x1.115695x1.12x11.779%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-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-1.000000x-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-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-1.000000x1.073397x1.073397x1.07x9.442%9.44%10.135%10.1%-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%46-1.096225x-1.096225x1.10x1.000000x1.000000x8.087%8.09%7.377%7.38%-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in the Midwest, and entities that contain the German Township
Female
Male
1x0x1x2x3xFM#ZIP 47720RockfordNDaytonSioux FallsTract 010500GermanCapitalLawrenceDowners GrvAkronEvansvilleLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonIndianaGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleVanderburghEvansville-VanderburghEvansville-Vanderb…Kansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x3.330783x3.330783x3.33x1.215%1.21%4.046%4.05%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%-1.000000x-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%-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-1.000000x1.822958x1.822958x1.82x1.500%1.50%2.734%2.73%-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-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-1.000000x-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-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-1.000000x1.124528x1.124528x1.12x5.872%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 German Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the German Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the German Township, selected other county subdivisions in the United States, and entities that contain the German 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 HempsteadHempsteadMidwestVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Northwest HarrisNW HarrisWashingtonEvansville Metro AreaEvansvilleAtlantaSeattleNortheast TarrantNE TarrantZIP Code 47720ZIP 47720PlanoSeattle East010500Tract 010500German TownshipGerman28.998944%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%4,641,8354.64M10.219610%10.219610%10.2%12,51812.5k10.219610%10.219610%10.2%12,51812.5k10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.774004%9.774004%9.8%20,91520.9k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.737956%7.737956%7.7%9915.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.693885%3.693885%3.7%2093.693885%3.693885%3.7%209
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the German Township, selected other county subdivisions in the United States, and entities that contain the German Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE Tarrant010500Tract 010500German TownshipGermanNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoZIP Code 47720ZIP 47720East San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…Fort WorthIndianaEvansville Metro AreaEvansvilleSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan 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%143,978144k1537.592789%37.592789%37.6%2,12737.592789%37.592789%37.6%2,12736.877886%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%184,237184k2631.198303%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%209,283209k3628.218943%28.218943%28.2%3,61427.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.902441%24.902441%24.9%30,50330.5k24.902441%24.902441%24.9%30,50330.5k24.665414%24.665414%24.7%131,349131k4124.611498%24.611498%24.6%1,068,0621.07M24.033815%24.033815%24.0%51,42951.4k23.764821%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%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the German Township, selected other county subdivisions in the United States, and entities that contain the German 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 StatesTulsaPhoenixLong Beach-LakewoodLong Bch-Lakewood010500Tract 010500German TownshipGermanMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantZIP Code 47720ZIP 47720East San Gabriel ValleyE San Gabriel VlyIndianaOntarioFort WorthLas VegasEvansville Metro AreaEvansvilleVanderburgh CountyVanderburghEvansville-Vanderburgh School CorporationEvansville-Vanderb…MilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%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%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.898551%2.898551%2.9%1642.898551%2.898551%2.9%1642.893416%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%9,827392.607949%2.607949%2.6%3342.484535%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%26,91426.9k432.090324%2.090324%2.1%4,4732.073639%2.073639%2.1%2,5402.073639%2.073639%2.1%2,5402.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in the United States, and entities that contain the German Township
Female
Male
1x0x1xFM#1, CharlotteTract 010500GermanDetroitBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesIndianaNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioVanderburghEvansville-VanderburghEvansville-Vanderb…San BernardinoAustinEvansvilleAtlantaFort 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 EastZIP 47720San JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%-1.000000x-1.000000x1.244204x1.244204x1.24x3.281%3.28%4.082%4.08%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%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-1.000000x1.109070x1.109070x1.11x12.369%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-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-1.000000x-1.000000x1.088325x1.088325x1.09x9.807%9.81%10.673%10.7%-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-1.000000x1.073397x1.073397x1.07x9.442%9.44%10.135%10.1%-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%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%46-1.096225x-1.096225x1.10x1.000000x1.000000x8.087%8.09%7.377%7.38%-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the German Township, selected other county subdivisions in the United States, and entities that contain the German Township
Female
Male
1x0x1x2x3xFM#ZIP 47720El PasoSalt Lk CityTract 010500GermanEvansvillePlanoTulsaAlbuquerqueNE DallasIndianaFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasVanderburghEvansville-VanderburghEvansville-Vanderb…Seattle 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-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x3.330783x3.330783x3.33x1.215%1.21%4.046%4.05%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%-1.000000x-1.000000x1.916841x1.916841x1.92x1.969%1.97%3.774%3.77%-1.000000x-1.000000x1.822958x1.822958x1.82x1.500%1.50%2.734%2.73%-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-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-1.000000x-1.000000x1.573028x1.573028x1.57x1.629%1.63%2.562%2.56%-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-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Indiana
County:
Vanderburgh
Metro Area:
Evansville Area
Town:
Darmstadt
ZIP Code:
47720
Unified School District:
Evansville-Vanderburgh
Congressional District:
IN-8
State Senate District:
IN-49
State House Districts:
IN-64, IN-76
Neighboring Townships:
Armstrong, Center, Perry, Robinson, Scott
Nearby Townships:
Campbell, Center, Johnson, Knight, Marrs, Ohio, Pigeon, Robb, Smith, Union