Educational Attainment in the Graham Township, Benton County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Benton County and the Graham Township
Graham Township
Benton County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.921260%35.401831%29.921260%29.9%11463.517060%56.855431%63.517060%63.5%2426.561680%7.742738%6.561680%6.6%25
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 Benton County at large.
Scope: population of Benton County and the Graham Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-15.481039%-15.481039%-15.5%29.921%29.9%35.402%35.4%11.716786%11.716786%+11.7%63.517%63.5%56.855%56.9%-15.253750%-15.253750%-15.3%6.562%6.56%7.743%7.74%
% percentage with given level in the Graham Township
ref. percentage with given level in Benton 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 Benton County and the Graham Township
Graham Township
Benton County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.640518%01.312336%1.062507%1.312336%1.3%52.362205%4.521307%2.362205%2.4%914.698163%15.982819%14.698163%14.7%5611.548556%13.194680%11.548556%11.5%4423.097113%24.580837%23.097113%23.1%8840.419948%32.274594%40.419948%40.4%1546.036745%5.109077%6.036745%6.0%230.524934%1.921555%0.524934%0.5%20.000000%0.000000%0.0%0.712106%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Benton County at large.
Scope: population of Benton County and the Graham Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.641%0.64%23.513151%23.513151%+23.5%1.312%1.31%1.063%1.06%-47.753937%-47.753937%-47.8%2.362%2.36%4.521%4.52%-8.037733%-8.037733%-8.0%14.698%14.7%15.983%16.0%-12.475661%-12.475661%-12.5%11.549%11.5%13.195%13.2%-6.036102%-6.036102%-6.0%23.097%23.1%24.581%24.6%25.237664%25.237664%+25.2%40.420%40.4%32.275%32.3%18.157271%18.157271%+18.2%6.037%6.04%5.109%5.11%-72.681797%-72.681797%-72.7%0.525%0.52%1.922%1.92%-100.000000%-100.000000%-100.0%0.000%0%0.712%0.71%
% percentage with given level in the Graham Township
ref. percentage with given level in Benton 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 Benton County and the Graham Township
More Females More Males
Benton County
Graham Township
0%200%400%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-42.372881%-13.931450%-42.372881%42%35.593%35.6%25.000%25.0%2.397986%7.533283%2.397986%2%62.712%62.7%64.216%64.2%536.274510%6.444394%536.274510%536%1.695%1.69%10.784%10.8%
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 Benton County and the Graham Township
More Females More Males
Benton County
Graham Township
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-361.016949%-361.016949%0k%21.946120%2.260%2.26%0.490%0.49%-44.067797%-46.527978%-44.067797%0k%2.825%2.82%1.961%1.96%-124.442462%-27.925543%-124.442462%0k%20.904%20.9%9.314%9.31%37.802768%2.811615%37.802768%0k%9.605%9.60%13.235%13.2%-10.131827%-15.409155%-10.131827%0k%24.294%24.3%22.059%22.1%9.731834%26.868827%9.731834%0k%38.418%38.4%42.157%42.2%1,000.000000%29.334374%1,000.000000%> 1000%0.565%0.56%10.784%10.8%-1,000.000000%-45.312708%-1,000.000000%> 1000%1.130%1.13%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Benton County and the Graham Township
Graham Township
Benton County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-342.469136%8.938445%2.469136%2.5%28111.728395%13.433450%11.728395%11.7%1916222.222222%20.291592%22.222222%22.2%146328.000000%22.471030%28.000000%28.0%2175
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 Benton County at large.
Scope: population of Benton County and the Graham Township
60%40%20%0%20%%ref.65+45-6435-4425-34-72.376225%-72.376225%72.4%2.469%2.47%8.938%8.94%-12.692606%-12.692606%12.7%11.728%11.7%13.433%13.4%9.514436%9.514436%9.5%22.222%22.2%20.292%20.3%24.604878%24.604878%24.6%28.000%28.0%22.471%22.5%
% percentage in the Graham Township with a Bachelor's degree
ref percentage in Benton 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 Benton County and the Graham Township
More Females More Males
Benton County
Graham Township
1,000%500%0%FM65+45-6435-4425-34-1,000.000000%-1,000.000000%> 1000%52.064771%5.263%5.26%0.000%0%-42.410016%-22.267346%-42.410016%42.4%14.085%14.1%9.890%9.89%-63.636364%-28.347785%-63.636364%63.6%27.273%27.3%16.667%16.7%-265.714286%-82.753769%-265.714286%265.7%45.714%45.7%12.500%12.5%
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 Benton County and the Graham Township
Graham Township
Benton County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$63,750.000000$60,096.000000$63,750.000000$63.8k143.675%3.67%$48,750.000000$37,979.000000$48,750.000000$48.8k5614.698%14.7%$38,750.000000$34,448.000000$38,750.000000$38.8k13234.646%34.6%$29,375.000000$30,948.000000$29,375.000000$29.4k15440.420%40.4%$68,750.000000$18,095.000000$68,750.000000$68.8k256.562%6.56%$37,431.000000$35,142.000000$37,431.000000$37.4k381100.000%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 Benton County and the Graham Township
Female Male
Benton County
Graham Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-36,875.000000$-34,287.000000$-36,875.000000$36.9k$36,875.000000$17,500.000000$34,287.000000$15,862.000000$54,375.000000$54.4k3719$-26,563.000000$-28,623.000000$-26,563.000000$26.6k$26,563.000000$18,437.000000$28,623.000000$13,290.000000$45,000.000000$45.0k6072$-18,333.000000$-23,542.000000$-18,333.000000$18.3k$18,333.000000$19,792.000000$23,542.000000$12,965.000000$38,125.000000$38.1k6886$-29,688.000000$-29,386.000000$-29,688.000000$29.7k$29,688.000000$13,750.000000$29,386.000000$11,680.000000$43,438.000000$43.4k177204
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 Benton County and the Graham Township
Graham Township
Benton County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%90.685309%100.000000%100.0%6588.135593%80.367958%88.135593%88.1%10481.443299%74.168714%81.443299%81.4%7950.000000%67.739204%50.000000%50.0%10
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 Benton County and the Graham Township
Female Male
Benton County
Graham Township
Shaded bar tips show excess over facing bar.
0%10%20%30%MFWhite1Hispanic2-1.764706%-6.508025%-1.764706%1.8%1.764706%9.126383%6.508025%0.528862%10.891089%10.9%223-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%35.321101%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Benton County and the Graham Township
Female Male
Benton County
Graham Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Hispanic2-11.881188%-15.177635%-19.027158%-5.032572%-27.058824%27.1%11.881188%19.027158%11.881188%11.9%2446-0.000000%-13.567839%0.000000%0.0%0.000000%0.000000%13.567839%7.991794%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 St. Cloud Area

There are 84 county subdivisions in the St. Cloud Area. This section compares the Graham Township to the 50 most populous county subdivisions in the St. Cloud Area and to those entities that contain or substantially overlap with the Graham Township. The least populous of the compared county subdivisions has a population of 751.

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 Graham Township, selected other county subdivisions in the St. Cloud Area, and entities that contain the Graham Township
0%5%10%15%20%Count#MelroseAlbanyPaynesvilleWaite ParkAlberta TownshipAlbertaUnited States of AmericaUnited StatesSauk CentreFreeportRichmondSt. CloudCold SpringKimballSartellMidwestKrain TownshipKrainMillwood TownshipMillwoodRockvilleFoleyWest North Central020202Tract 020202BelgradeMayhew Lake TownshipMayhew LkSt. Cloud Metro AreaSt. CloudGilmanton TownshipGilmantonBenton CountyBentonSt. George TownshipSt. GeorgeSt. CloudMinnesotaAvon TownshipFair Haven TownshipFair HvnLangola TownshipLangolaMunson TownshipMunsonSauk RapidsRiceGranite Ledge TownshipGranite LedgeGraham TownshipGrahamMaywood TownshipMaywoodFarming TownshipFarmingSauk Centre TownshipSauk CentreEden Lake TownshipEden LkAvonHolding TownshipHoldingBrockway TownshipBrockwayPaynesville TownshipPaynesvilleLynden TownshipLyndenMinden TownshipMindenSt. Joseph TownshipSt. JosephSt. Wendel TownshipSt. WendelWatab TownshipWatabSt. AugustaSt. JosephMaine Prairie TownshipMaine PrairieSt. StephenAlbany TownshipAlbanyLe Sauk TownshipLe SaukWakefield TownshipWakefieldSartellCollegeville TownshipCollegeville21.357616%21.357616%21.4%516118.306155%18.306155%18.3%348218.138042%18.138042%18.1%339313.698329%13.698329%13.7%623413.263525%13.263525%13.3%76513.020590%13.020590%13.0%27,818,38027.8M11.864407%11.864407%11.9%336611.618257%11.618257%11.6%56711.311787%11.311787%11.3%119811.051607%11.051607%11.1%454910.752688%10.752688%10.8%2801010.748560%10.748560%10.7%561110.338681%10.338681%10.3%1741210.244520%10.244520%10.2%4,641,8354.64M9.938838%9.938838%9.9%65139.878419%9.878419%9.9%65149.509569%9.509569%9.5%159159.215220%9.215220%9.2%155169.174633%9.174633%9.2%1,278,0511.28M8.825093%8.825093%8.8%1668.651911%8.651911%8.7%43178.145581%8.145581%8.1%47187.880882%7.880882%7.9%9,5357.821229%7.821229%7.8%42197.742738%7.742738%7.7%2,0557.612457%7.612457%7.6%66207.521396%7.521396%7.5%2,285217.376055%7.376055%7.4%270,121270k7.204230%7.204230%7.2%109227.162041%7.162041%7.2%80237.040417%7.040417%7.0%54246.964286%6.964286%7.0%78256.668181%6.668181%6.7%587266.609808%6.609808%6.6%62276.583630%6.583630%6.6%37286.561680%6.561680%6.6%256.549521%6.549521%6.5%41296.429780%6.429780%6.4%38306.405229%6.405229%6.4%49316.337372%6.337372%6.3%68326.301370%6.301370%6.3%69335.953827%5.953827%6.0%49345.677083%5.677083%5.7%109355.505506%5.505506%5.5%55365.302465%5.302465%5.3%71375.222603%5.222603%5.2%61384.840371%4.840371%4.8%47394.804046%4.804046%4.8%76404.751131%4.751131%4.8%105414.335140%4.335140%4.3%104424.043601%4.043601%4.0%115433.975535%3.975535%4.0%52443.780069%3.780069%3.8%22453.333333%3.333333%3.3%22462.791461%2.791461%2.8%34472.638255%2.638255%2.6%52482.258513%2.258513%2.3%195492.210663%2.210663%2.2%3450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Graham Township, selected other county subdivisions in the St. Cloud Area, and entities that contain the Graham Township
0%10%20%30%40%Count#SartellCollegeville TownshipCollegevilleLe Sauk TownshipLe SaukMinnesotaSt. JosephUnited States of AmericaUnited StatesWest North CentralSt. CloudMidwestSt. Wendel TownshipSt. WendelBrockway TownshipBrockwayRockvilleCold SpringPaynesville TownshipPaynesvilleSt. Joseph TownshipSt. JosephSauk RapidsSt. Cloud Metro AreaSt. CloudSt. CloudGilmanton TownshipGilmantonWakefield TownshipWakefieldWaite ParkAvon TownshipWatab TownshipWatabSartellAvonSt. AugustaBenton CountyBentonMinden TownshipMindenRiceFair Haven TownshipFair HvnMayhew Lake TownshipMayhew LkSt. StephenEden Lake TownshipEden LkMaine Prairie TownshipMaine PrairieMunson TownshipMunsonGraham TownshipGrahamAlbany020202Tract 020202KimballSt. George TownshipSt. GeorgeLynden TownshipLyndenSauk CentreGranite Ledge TownshipGranite LedgeFoleyLangola TownshipLangolaMelrosePaynesvilleSauk Centre TownshipSauk CentreAlbany TownshipAlbanyKrain TownshipKrainFarming TownshipFarmingMillwood TownshipMillwoodBelgradeFreeportHolding TownshipHoldingAlberta TownshipAlbertaMaywood TownshipMaywoodRichmond45.205003%45.205003%45.2%3,903143.758127%43.758127%43.8%673235.550082%35.550082%35.6%433334.240609%34.240609%34.2%1,253,9371.25M34.177215%34.177215%34.2%972430.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.150757%29.150757%29.2%8,856528.952816%28.952816%29.0%13,118,64213.1M28.887484%28.887484%28.9%457627.239583%27.239583%27.2%523726.734450%26.734450%26.7%447826.536098%26.536098%26.5%691925.925926%25.925926%25.9%2591025.849640%25.849640%25.8%2511125.184596%25.184596%25.2%2,2171225.127904%25.127904%25.1%30,40230.4k25.000000%25.000000%25.0%1,0271324.767225%24.767225%24.8%1331424.150178%24.150178%24.2%4761524.010554%24.010554%24.0%1,0921623.793787%23.793787%23.8%3601723.167421%23.167421%23.2%5121823.054070%23.054070%23.1%3881922.831050%22.831050%22.8%2502022.801167%22.801167%22.8%5472122.207151%22.207151%22.2%5,89421.232877%21.232877%21.2%2482221.215352%21.215352%21.2%1992320.590868%20.590868%20.6%2302419.584055%19.584055%19.6%1132519.415808%19.415808%19.4%1132619.198509%19.198509%19.2%2062719.113150%19.113150%19.1%2502818.571429%18.571429%18.6%2082918.372703%18.372703%18.4%7018.148343%18.148343%18.1%3453017.703349%17.703349%17.7%33317.658349%17.658349%17.7%923117.531719%17.531719%17.5%1523217.176998%17.176998%17.2%2303316.737288%16.737288%16.7%4743416.725979%16.725979%16.7%943516.468490%16.468490%16.5%2773616.166884%16.166884%16.2%1243715.397351%15.397351%15.4%3723815.141787%15.141787%15.1%2833914.640523%14.640523%14.6%1124014.242424%14.242424%14.2%944114.220183%14.220183%14.2%934214.043993%14.043993%14.0%834313.373860%13.373860%13.4%884413.279678%13.279678%13.3%664512.655602%12.655602%12.7%614610.935601%10.935601%10.9%90479.773124%9.773124%9.8%56489.584665%9.584665%9.6%60497.319392%7.319392%7.3%7750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Graham Township, selected other county subdivisions in the St. Cloud Area, and entities that contain the Graham Township
0%2%4%6%8%Count#Collegeville TownshipCollegevilleLe Sauk TownshipLe SaukSartellWaite ParkBrockway TownshipBrockwaySt. JosephSt. Wendel TownshipSt. WendelWatab TownshipWatabMinnesotaSt. CloudMillwood TownshipMillwoodUnited States of AmericaUnited StatesWest North CentralMidwestSt. Joseph TownshipSt. JosephPaynesville TownshipPaynesvilleAlbany TownshipAlbanySt. Cloud Metro AreaSt. CloudAvonMunson TownshipMunsonWakefield TownshipWakefieldGilmanton TownshipGilmantonSt. CloudRockvilleSauk RapidsMaywood TownshipMaywoodSt. George TownshipSt. GeorgeAlbanyBenton CountyBentonAvon TownshipMinden TownshipMindenSauk CentreMelroseHolding TownshipHoldingGraham TownshipGrahamPaynesvilleGranite Ledge TownshipGranite LedgeAlberta TownshipAlbertaSauk Centre TownshipSauk CentreFair Haven TownshipFair HvnFoleyMaine Prairie TownshipMaine PrairieLynden TownshipLyndenBelgrade020202Tract 020202St. StephenFreeportKrain TownshipKrainRichmondLangola TownshipLangolaEden Lake TownshipEden LkMayhew Lake TownshipMayhew LkRiceFarming TownshipFarmingSt. AugustaCold SpringSartellKimball9.167750%9.167750%9.2%14116.157635%6.157635%6.2%7525.003475%5.003475%5.0%43234.617414%4.617414%4.6%21044.531250%4.531250%4.5%8754.008439%4.008439%4.0%11463.792668%3.792668%3.8%6073.665158%3.665158%3.7%8183.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,02393.343465%3.343465%3.3%22103.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.677652%2.677652%2.7%26112.602603%2.602603%2.6%26122.575758%2.575758%2.6%17132.555604%2.555604%2.6%3,0922.465753%2.465753%2.5%27142.410714%2.410714%2.4%27152.283105%2.283105%2.3%45162.234637%2.234637%2.2%12172.069133%2.069133%2.1%85181.973684%1.973684%2.0%33191.953879%1.953879%2.0%172201.916933%1.916933%1.9%12211.845444%1.845444%1.8%16221.788532%1.788532%1.8%34231.703026%1.703026%1.7%4521.652346%1.652346%1.7%25241.626712%1.626712%1.6%19251.553672%1.553672%1.6%44261.490066%1.490066%1.5%36271.458080%1.458080%1.5%12281.312336%1.312336%1.3%51.284109%1.284109%1.3%24291.245552%1.245552%1.2%7301.047120%1.047120%1.0%6310.915033%0.915033%0.9%7320.895255%0.895255%0.9%10330.891795%0.891795%0.9%15340.840979%0.840979%0.8%11350.821509%0.821509%0.8%11360.804829%0.804829%0.8%4370.744285%0.744285%0.7%140.687285%0.687285%0.7%4380.622407%0.622407%0.6%3390.611621%0.611621%0.6%4400.570342%0.570342%0.6%6410.521512%0.521512%0.5%4420.372787%0.372787%0.4%4430.346620%0.346620%0.3%2440.319829%0.319829%0.3%3450.169205%0.169205%0.2%1460.166736%0.166736%0.2%4470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Graham Township, selected other county subdivisions in the St. Cloud Area, and entities that contain the Graham Township
Female
Male
2x0x2x4x6xFM#MaywoodGrahamSt. GeorgeGranite LedgeWakefieldSt. WendelSt. StephenRockvilleEden LkCollegevilleBrockwayAlbanyKimballTract 020202FreeportGilmantonMindenAlbertaLyndenBelgradeWaite ParkKrainHoldingMillwoodMayhew LkMunsonAvon TownshipWatabMaine PrairieSt. JosephFair HvnPaynesvilleSauk CentreSauk CentreSartellPaynesvilleWest North CentralMinnesotaLangolaMidwestSt. JosephUnited StatesSt. CloudCold SpringBentonSt. AugustaFoleySt. CloudRiceLe SaukSauk RapidsSt. CloudRichmondSartellAlbanyMelroseFarmingAvon-1.000000x-1.000000x6.668308x6.668308x6.67x1.661%1.66%11.077%11.1%1-1.000000x-1.000000x6.362745x6.362745x6.36x1.695%1.69%10.784%10.8%-1.000000x-1.000000x5.868889x5.868889x5.87x2.158%2.16%12.667%12.7%2-1.000000x-1.000000x3.991163x3.991163x3.99x2.583%2.58%10.309%10.3%3-1.000000x-1.000000x3.560877x3.560877x3.56x1.142%1.14%4.067%4.07%4-1.000000x-1.000000x3.488183x3.488183x3.49x2.144%2.14%7.478%7.48%5-1.000000x-1.000000x3.196000x3.196000x3.20x1.773%1.77%5.667%5.67%6-1.000000x-1.000000x3.076207x3.076207x3.08x4.585%4.58%14.104%14.1%7-1.000000x-1.000000x2.651285x2.651285x2.65x3.435%3.44%9.107%9.11%8-1.000000x-1.000000x2.569184x2.569184x2.57x1.218%1.22%3.129%3.13%9-1.000000x-1.000000x2.368570x2.368570x2.37x3.330%3.33%7.887%7.89%10-1.000000x-1.000000x2.333333x2.333333x2.33x1.948%1.95%4.545%4.55%11-1.000000x-1.000000x2.233289x2.233289x2.23x6.615%6.61%14.773%14.8%12-1.000000x-1.000000x2.181783x2.181783x2.18x5.514%5.51%12.029%12.0%-1.000000x-1.000000x2.128704x2.128704x2.13x7.438%7.44%15.833%15.8%13-1.000000x-1.000000x2.062862x2.062862x2.06x5.039%5.04%10.394%10.4%14-1.000000x-1.000000x2.039851x2.039851x2.04x3.477%3.48%7.092%7.09%15-1.000000x-1.000000x1.930693x1.930693x1.93x8.889%8.89%17.162%17.2%16-1.000000x-1.000000x1.830985x1.830985x1.83x3.709%3.71%6.792%6.79%17-1.000000x-1.000000x1.749744x1.749744x1.75x6.324%6.32%11.066%11.1%18-1.000000x-1.000000x1.674942x1.674942x1.67x10.305%10.3%17.260%17.3%19-1.000000x-1.000000x1.655723x1.655723x1.66x7.395%7.40%12.245%12.2%20-1.000000x-1.000000x1.646523x1.646523x1.65x4.427%4.43%7.289%7.29%21-1.000000x-1.000000x1.637887x1.637887x1.64x7.333%7.33%12.011%12.0%22-1.000000x-1.000000x1.605536x1.605536x1.61x6.250%6.25%10.035%10.0%23-1.000000x-1.000000x1.590091x1.590091x1.59x5.341%5.34%8.492%8.49%24-1.000000x-1.000000x1.557771x1.557771x1.56x5.548%5.55%8.642%8.64%25-1.000000x-1.000000x1.465116x1.465116x1.47x3.846%3.85%5.635%5.64%26-1.000000x-1.000000x1.459649x1.459649x1.46x3.205%3.21%4.678%4.68%27-1.000000x-1.000000x1.444751x1.444751x1.44x3.351%3.35%4.841%4.84%28-1.000000x-1.000000x1.416613x1.416613x1.42x5.925%5.92%8.393%8.39%29-1.000000x-1.000000x1.382973x1.382973x1.38x4.618%4.62%6.387%6.39%30-1.000000x-1.000000x1.316017x1.316017x1.32x5.526%5.53%7.273%7.27%31-1.000000x-1.000000x1.274862x1.274862x1.27x10.502%10.5%13.388%13.4%32-1.000000x-1.000000x1.235098x1.235098x1.24x2.027%2.03%2.504%2.50%33-1.000000x-1.000000x1.231337x1.231337x1.23x16.459%16.5%20.267%20.3%34-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.133093x1.133093x1.13x6.596%6.60%7.474%7.47%35-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109933x1.109933x1.11x4.575%4.58%5.078%5.08%36-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.092140x1.092140x1.09x7.533%7.53%8.227%8.23%-1.000000x-1.000000x1.070981x1.070981x1.07x10.429%10.4%11.170%11.2%37-1.000000x-1.000000x1.064444x1.064444x1.06x7.501%7.50%7.984%7.98%-1.000000x-1.000000x1.033480x1.033480x1.03x4.261%4.26%4.404%4.40%38-1.105408x-1.105408x1.11x1.000000x1.000000x9.685%9.69%8.762%8.76%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.161693x-1.161693x1.16x1.000000x1.000000x7.127%7.13%6.135%6.13%41-1.225740x-1.225740x1.23x1.000000x1.000000x3.069%3.07%2.504%2.50%42-1.253079x-1.253079x1.25x1.000000x1.000000x7.410%7.41%5.913%5.91%43-1.292471x-1.292471x1.29x1.000000x1.000000x12.525%12.5%9.691%9.69%44-1.407815x-1.407815x1.41x1.000000x1.000000x13.173%13.2%9.357%9.36%45-1.472449x-1.472449x1.47x1.000000x1.000000x11.939%11.9%8.108%8.11%46-1.712533x-1.712533x1.71x1.000000x1.000000x22.692%22.7%13.250%13.3%47-1.761869x-1.761869x1.76x1.000000x1.000000x26.845%26.8%15.236%15.2%48-1.779310x-1.779310x1.78x1.000000x1.000000x8.276%8.28%4.651%4.65%49-2.183420x-2.183420x2.18x1.000000x1.000000x8.463%8.46%3.876%3.88%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Graham Township, selected other county subdivisions in the St. Cloud Area, and entities that contain the Graham Township
Female
Male
10x5x0x5x10xFM#St. CloudSt. AugustaAvon TownshipFair HvnSauk CentreFarmingGranite LedgeSt. JosephSauk CentreMelroseSt. WendelRockvilleWakefieldWaite ParkCollegevilleLe SaukFoleyAvonGilmantonSauk RapidsBrockwayAlbanyMidwestWest North CentralSt. CloudUnited StatesMinnesotaBentonSt. CloudMaywoodMunsonRichmondBelgradeSt. StephenPaynesvilleSartellAlbanyLyndenSt. GeorgeMillwoodWatabMaine PrairieSt. JosephHoldingTract 020202PaynesvilleGrahamMindenEden LkRiceLangolaKrainMayhew LkAlbertaFreeport-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.979%3.98%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.320%0.32%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.086%3.09%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.786%1.79%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.818%1.82%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.332%0.33%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.405%2.41%7-1.000000x-1.000000x3.765234x3.765234x3.77x1.089%1.09%4.102%4.10%8-1.000000x-1.000000x2.981800x2.981800x2.98x0.803%0.80%2.393%2.39%9-1.000000x-1.000000x2.900525x2.900525x2.90x0.785%0.78%2.277%2.28%10-1.000000x-1.000000x2.763942x2.763942x2.76x2.018%2.02%5.577%5.58%11-1.000000x-1.000000x2.487861x2.487861x2.49x1.115%1.12%2.775%2.77%12-1.000000x-1.000000x2.351648x2.351648x2.35x1.350%1.35%3.175%3.17%13-1.000000x-1.000000x2.341353x2.341353x2.34x2.791%2.79%6.534%6.53%14-1.000000x-1.000000x2.255869x2.255869x2.26x5.548%5.55%12.516%12.5%15-1.000000x-1.000000x2.195952x2.195952x2.20x3.877%3.88%8.514%8.51%16-1.000000x-1.000000x1.929907x1.929907x1.93x0.605%0.61%1.168%1.17%17-1.000000x-1.000000x1.907558x1.907558x1.91x1.727%1.73%3.295%3.29%18-1.000000x-1.000000x1.849462x1.849462x1.85x1.550%1.55%2.867%2.87%19-1.000000x-1.000000x1.717282x1.717282x1.72x1.441%1.44%2.475%2.48%20-1.000000x-1.000000x1.617954x1.617954x1.62x3.437%3.44%5.561%5.56%21-1.000000x-1.000000x1.604167x1.604167x1.60x1.948%1.95%3.125%3.13%22-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.544665x1.544665x1.54x2.633%2.63%4.067%4.07%23-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.468727x1.468727x1.47x1.380%1.38%2.026%2.03%-1.000000x-1.000000x1.403058x1.403058x1.40x2.126%2.13%2.983%2.98%-1.000000x-1.000000x1.296615x1.296615x1.30x1.661%1.66%2.154%2.15%24-1.000000x-1.000000x1.176343x1.176343x1.18x2.210%2.21%2.600%2.60%25-1.000000x-1.000000x1.050682x1.050682x1.05x0.557%0.56%0.585%0.58%26-1.000000x-1.000000x1.036885x1.036885x1.04x0.791%0.79%0.820%0.82%27-1.063830x-1.063830x1.06x1.000000x1.000000x0.709%0.71%0.667%0.67%28-1.173695x-1.173695x1.17x1.000000x1.000000x2.811%2.81%2.395%2.40%29-1.214479x-1.214479x1.21x1.000000x1.000000x5.473%5.47%4.506%4.51%30-1.239124x-1.239124x1.24x1.000000x1.000000x1.965%1.96%1.586%1.59%31-1.283462x-1.283462x1.28x1.000000x1.000000x0.927%0.93%0.723%0.72%32-1.387461x-1.387461x1.39x1.000000x1.000000x2.158%2.16%1.556%1.56%33-1.432000x-1.432000x1.43x1.000000x1.000000x4.000%4.00%2.793%2.79%34-2.165751x-2.165751x2.17x1.000000x1.000000x5.037%5.04%2.326%2.33%35-2.923077x-2.923077x2.92x1.000000x1.000000x1.282%1.28%0.439%0.44%36-3.257227x-3.257227x3.26x1.000000x1.000000x5.913%5.91%1.815%1.82%37-3.429688x-3.429688x3.43x1.000000x1.000000x2.344%2.34%0.683%0.68%38-3.789550x-3.789550x3.79x1.000000x1.000000x1.189%1.19%0.314%0.31%-3.942584x-3.942584x3.94x1.000000x1.000000x1.914%1.91%0.485%0.49%39-4.610169x-4.610169x4.61x1.000000x1.000000x2.260%2.26%0.490%0.49%-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.146%3.15%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.763%0.76%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.668%0.67%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.055%1.06%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.286%1.29%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.694%0.69%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.222%2.22%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.240%1.24%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares the Graham Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Graham Township. The least populous of the compared county subdivisions has a population of 22,226.

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 Graham Township, selected other county subdivisions in Minnesota, and entities that contain the Graham Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North Central020202Tract 020202WinonaMaplewoodSt. Cloud Metro AreaSt. CloudInver Grove HeightsInver Grv HtsBenton CountyBentonShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleGraham TownshipGrahamDuluthRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%9.174633%9.2%1,278,0511.28M8.825093%8.825093%8.8%1667.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.880882%7.880882%7.9%9,5357.772967%7.772967%7.8%1,831117.742738%7.742738%7.7%2,0557.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.561680%6.561680%6.6%256.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
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 Graham Township, selected other county subdivisions in Minnesota, and entities that contain the Graham Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsSt. Cloud Metro AreaSt. CloudBenton CountyBentonAustinBrooklyn CenterBrooklyn CtrFaribaultGraham TownshipGraham020202Tract 02020268.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284625.993543%25.993543%26.0%11,19111.2k4725.127904%25.127904%25.1%30,40230.4k22.207151%22.207151%22.2%5,89421.410083%21.410083%21.4%3,4744820.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115018.372703%18.372703%18.4%7017.703349%17.703349%17.7%333
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 Graham Township, selected other county subdivisions in Minnesota, and entities that contain the Graham Township
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadSt. Cloud Metro AreaSt. CloudBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBenton CountyBentonBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonGraham TownshipGrahamElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastings020202Tract 02020211.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.555604%2.555604%2.6%3,0922.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.174045%2.174045%2.2%357322.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.703026%1.703026%1.7%4521.673021%1.673021%1.7%825401.653038%1.653038%1.7%376411.638270%1.638270%1.6%275421.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.312336%1.312336%1.3%51.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.744285%0.744285%0.7%14
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 Graham Township, selected other county subdivisions in Minnesota, and entities that contain the Graham Township
Female
Male
0x2x4x6xFM#GrahamTract 020202FarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinSt. CloudBlaineAndoverCrystalBentonCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x6.362745x6.362745x6.36x1.695%1.69%10.784%10.8%-1.000000x-1.000000x2.181783x2.181783x2.18x5.514%5.51%12.029%12.0%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%19-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%21-1.000000x-1.000000x1.092140x1.092140x1.09x7.533%7.53%8.227%8.23%-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%22-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%23-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%24-1.000000x-1.000000x1.064444x1.064444x1.06x7.501%7.50%7.984%7.98%-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%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 Graham Township, selected other county subdivisions in Minnesota, and entities that contain the Graham Township
Female
Male
4x2x0x2xFM#WinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaBentonDuluthSt. Louis PkFaribaultInver Grv HtsSt. CloudEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk RiverTract 020202Graham-1.000000x-1.000000x3.549966x3.549966x3.55x1.887%1.89%6.698%6.70%1-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%2-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%3-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%4-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%5-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%6-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%7-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%8-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%9-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%10-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%11-1.000000x-1.000000x1.842122x1.842122x1.84x1.143%1.14%2.106%2.11%12-1.000000x-1.000000x1.831940x1.831940x1.83x2.992%2.99%5.480%5.48%13-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%14-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%15-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%16-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%17-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%18-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%19-1.000000x-1.000000x1.655114x1.655114x1.66x1.942%1.94%3.214%3.21%20-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583257x1.583257x1.58x4.465%4.46%7.069%7.07%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.559618x1.559618x1.56x5.912%5.91%9.220%9.22%23-1.000000x-1.000000x1.551084x1.551084x1.55x1.481%1.48%2.298%2.30%24-1.000000x-1.000000x1.548982x1.548982x1.55x2.267%2.27%3.511%3.51%25-1.000000x-1.000000x1.544665x1.544665x1.54x2.633%2.63%4.067%4.07%26-1.000000x-1.000000x1.544387x1.544387x1.54x2.283%2.28%3.525%3.53%27-1.000000x-1.000000x1.532997x1.532997x1.53x1.305%1.30%2.000%2.00%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%29-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.468727x1.468727x1.47x1.380%1.38%2.026%2.03%-1.000000x-1.000000x1.465286x1.465286x1.47x3.496%3.50%5.123%5.12%31-1.000000x-1.000000x1.442441x1.442441x1.44x4.342%4.34%6.262%6.26%32-1.000000x-1.000000x1.419491x1.419491x1.42x1.234%1.23%1.752%1.75%33-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%34-1.000000x-1.000000x1.403058x1.403058x1.40x2.126%2.13%2.983%2.98%-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%35-1.000000x-1.000000x1.367180x1.367180x1.37x0.959%0.96%1.311%1.31%36-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%37-1.000000x-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%38-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%39-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%40-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%41-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%42-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%43-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50-3.789550x-3.789550x3.79x1.000000x1.000000x1.189%1.19%0.314%0.31%-4.610169x-4.610169x4.61x1.000000x1.000000x2.260%2.26%0.490%0.49%
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 Graham Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Graham 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 Graham Township, selected other county subdivisions in the Midwest, and entities that contain the Graham Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North Central020202Tract 020202Capital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSt. Cloud Metro AreaSt. CloudBenton CountyBentonSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashingtonGraham TownshipGrahamOlatheFargoCedar 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%9,3752611.376979%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%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.825093%8.825093%8.8%1668.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.880882%7.880882%7.9%9,5357.742738%7.742738%7.7%2,0557.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.561680%6.561680%6.6%256.424130%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%4,166473.522812%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 Graham Township, selected other county subdivisions in the Midwest, and entities that contain the Graham Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthSt. Cloud Metro AreaSt. CloudMilwaukeeBenton CountyBentonRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonGraham TownshipGrahamToledo020202Tract 020202DaytonWarrenWayne 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%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%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%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%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%26,38926.4k3525.127904%25.127904%25.1%30,40230.4k23.517740%23.517740%23.5%85,81285.8k3622.207151%22.207151%22.2%5,89421.592552%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%21,01221.0k4118.372703%18.372703%18.4%7018.048021%18.048021%18.0%33,17133.2k4217.703349%17.703349%17.7%33317.635555%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 Graham Township, selected other county subdivisions in the Midwest, and entities that contain the Graham Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSt. Cloud Metro AreaSt. CloudSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandBenton CountyBentonToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitGraham TownshipGrahamDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton020202Tract 02020217.877867%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%2,782203.458748%3.458748%3.5%126,664127k3.407574%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%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.555604%2.555604%2.6%3,0922.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%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%2,049381.927780%1.927780%1.9%4,911391.703026%1.703026%1.7%4521.642065%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%5,693441.312336%1.312336%1.3%51.257490%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%971500.744285%0.744285%0.7%14
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 Graham Township, selected other county subdivisions in the Midwest, and entities that contain the Graham Township
Female
Male
0x2x4x6xFM#GrahamTract 020202Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkSt. CloudAuroraWheelingGrand RapidsSchaumburgChicagoBentonWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x6.362745x6.362745x6.36x1.695%1.69%10.784%10.8%-1.000000x-1.000000x2.181783x2.181783x2.18x5.514%5.51%12.029%12.0%-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-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-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-1.000000x1.123984x1.123984x1.12x16.526%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-1.000000x1.099747x1.099747x1.10x10.199%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-1.000000x1.092140x1.092140x1.09x7.533%7.53%8.227%8.23%-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-1.000000x1.064444x1.064444x1.06x7.501%7.50%7.984%7.98%-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#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 Graham Township, selected other county subdivisions in the Midwest, and entities that contain the Graham Township
Female
Male
4x2x0x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsBentonPalatineSchaumburgColumbusSt. CloudMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonTract 020202Graham-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%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-1.000000x1.596978x1.596978x1.60x3.524%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-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.468727x1.468727x1.47x1.380%1.38%2.026%2.03%-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-1.000000x1.403058x1.403058x1.40x2.126%2.13%2.983%2.98%-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%50-3.789550x-3.789550x3.79x1.000000x1.000000x1.189%1.19%0.314%0.31%-4.610169x-4.610169x4.61x1.000000x1.000000x2.260%2.26%0.490%0.49%
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 Graham Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Graham 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 Graham Township, selected other county subdivisions in the United States, and entities that contain the Graham Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattle020202Tract 020202Northeast TarrantNE TarrantSt. Cloud Metro AreaSt. CloudBenton CountyBentonMinnesotaGraham TownshipGrahamPlanoSeattle 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%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%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%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.825093%8.825093%8.8%1668.418271%8.418271%8.4%31,44331.4k487.880882%7.880882%7.9%9,5357.742738%7.742738%7.7%2,0557.376055%7.376055%7.4%270,121270k6.561680%6.561680%6.6%255.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Graham Township, selected other county subdivisions in the United States, and entities that contain the Graham Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiSt. Cloud Metro AreaSt. CloudFort WorthSouthwest DallasSW DallasMilwaukeeFresnoBenton CountyBentonLas VegasEl PasoBronxGraham TownshipGraham020202Tract 020202San 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%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%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%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%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%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.127904%25.127904%25.1%30,40230.4k24.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4422.207151%22.207151%22.2%5,89421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4718.372703%18.372703%18.4%7017.703349%17.703349%17.7%33316.375473%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 Graham Township, selected other county subdivisions in the United States, and entities that contain the Graham 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…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantSt. Cloud Metro AreaSt. CloudEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBenton CountyBentonBronxDetroitGraham TownshipGraham020202Tract 02020212.461852%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%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%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%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.555604%2.555604%2.6%3,0922.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%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%10,08610.1k481.703026%1.703026%1.7%4521.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.312336%1.312336%1.3%50.744285%0.744285%0.7%14
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 Graham Township, selected other county subdivisions in the United States, and entities that contain the Graham Township
Female
Male
0x2x4x6xFM#GrahamTract 0202021, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonSt. CloudHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueBentonWashingtonSacramentoColumbusSalt 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-1.000000x6.362745x6.362745x6.36x1.695%1.69%10.784%10.8%-1.000000x-1.000000x2.181783x2.181783x2.18x5.514%5.51%12.029%12.0%-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-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-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-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092140x1.092140x1.09x7.533%7.53%8.227%8.23%-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-1.000000x1.064444x1.064444x1.06x7.501%7.50%7.984%7.98%-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#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 Graham Township, selected other county subdivisions in the United States, and entities that contain the Graham Township
Female
Male
4x2x0x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaBentonSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusSt. CloudMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 020202Graham-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%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-1.000000x1.589934x1.589934x1.59x2.251%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-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.468727x1.468727x1.47x1.380%1.38%2.026%2.03%-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-1.000000x1.403058x1.403058x1.40x2.126%2.13%2.983%2.98%-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%50-3.789550x-3.789550x3.79x1.000000x1.000000x1.189%1.19%0.314%0.31%-4.610169x-4.610169x4.61x1.000000x1.000000x2.260%2.26%0.490%0.49%
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:
Minnesota
County:
Benton
Metro Area:
St. Cloud Area
ZIP Codes:
56329, 56367, 56379
Unified School Districts:
Foley, Pierz, Royalton, Sauk Rapids-Rice
Congressional District:
MN-6
State Senate District:
MN-15
State House District:
MN-15B
Neighboring Townships:
Alberta, Buckman, Gilmanton, Langola, Mayhew Lake, Morrill, Watab
Nearby Townships:
Bellevue, Minden, Sauk Rapids