Educational Attainment in the Courtland Township, Nicollet County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Nicollet County and the Courtland Township
Courtland Township
Nicollet County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma239.226519%45.192352%39.226519%39.2%14253.591160%48.369540%53.591160%53.6%1947.182320%6.438108%7.182320%7.2%26
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 Nicollet County at large.
Scope: population of Nicollet County and the Courtland Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-13.200979%-13.200979%-13.2%39.227%39.2%45.192%45.2%10.795266%10.795266%+10.8%53.591%53.6%48.370%48.4%11.559496%11.559496%+11.6%7.182%7.18%6.438%6.44%
% percentage with given level in the Courtland Township
ref. percentage with given level in Nicollet 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 Nicollet County and the Courtland Township
Courtland Township
Nicollet County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%2.498023%00.828729%1.535098%0.828729%0.8%34.419890%6.135740%4.419890%4.4%1621.823204%22.091455%21.823204%21.8%7912.154696%12.932037%12.154696%12.2%4411.602210%21.305298%11.602210%11.6%4241.988950%27.064242%41.988950%42.0%1525.801105%3.433037%5.801105%5.8%211.381215%2.567800%1.381215%1.4%50.000000%0.000000%0.0%0.437270%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 Nicollet County at large.
Scope: population of Nicollet County and the Courtland 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%2.498%2.50%-46.014566%-46.014566%-46.0%0.829%0.83%1.535%1.54%-27.964849%-27.964849%-28.0%4.420%4.42%6.136%6.14%-1.214271%-1.214271%-1.2%21.823%21.8%22.091%22.1%-6.010970%-6.010970%-6.0%12.155%12.2%12.932%12.9%-45.543077%-45.543077%-45.5%11.602%11.6%21.305%21.3%55.145491%55.145491%+55.1%41.989%42.0%27.064%27.1%68.978799%68.978799%+69.0%5.801%5.80%3.433%3.43%-46.210165%-46.210165%-46.2%1.381%1.38%2.568%2.57%-100.000000%-100.000000%-100.0%0.000%0%0.437%0.44%
% percentage with given level in the Courtland Township
ref. percentage with given level in Nicollet 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 Nicollet County and the Courtland Township
More Females More Males
Nicollet County
Courtland Township
0%200%400%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-72.192513%-12.040075%-72.192513%72%49.198%49.2%28.571%28.6%20.948195%7.107967%20.948195%21%48.663%48.7%58.857%58.9%487.714286%32.847107%487.714286%488%2.139%2.14%12.571%12.6%
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 Nicollet County and the Courtland Township
More Females More Males
Nicollet County
Courtland Township
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%61.892771%1,000.000000%> 1000%0.000%0%1.714%1.71%-41.197176%78.095238%78.095238%78%3.209%3.21%5.714%5.71%-80.233710%-80.233710%80%3.092055%27.807%27.8%15.429%15.4%-218.181818%-44.010665%-218.181818%218%18.182%18.2%5.714%5.71%-3.718892%73.642857%73.642857%74%8.556%8.56%14.857%14.9%9.706667%16.387696%9.706667%10%40.107%40.1%44.000%44.0%915.142857%54.242351%915.142857%915%1.070%1.07%10.857%10.9%60.285714%23.696070%60.285714%60%1.070%1.07%1.714%1.71%
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 Nicollet County and the Courtland Township
Courtland Township
Nicollet County
0%10%20%30%40%50%60%70%B.X.Total65+45-6435-4425-3412.765957%16.329604%12.765957%12.8%129413.407821%20.526125%13.407821%13.4%2417940.000000%25.376128%40.000000%40.0%266570.833333%27.918671%70.833333%70.8%1724
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 Nicollet County at large.
Scope: population of Nicollet County and the Courtland Township
0%50%100%150%%ref.65+45-6435-4425-34-21.823228%-21.823228%21.8%12.766%12.8%16.330%16.3%-34.679239%-34.679239%34.7%13.408%13.4%20.526%20.5%57.628458%57.628458%57.6%40.000%40.0%25.376%25.4%153.713130%153.713130%153.7%70.833%70.8%27.919%27.9%
% percentage in the Courtland Township with a Bachelor's degree
ref percentage in Nicollet 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 Nicollet County and the Courtland Township
More Females More Males
Nicollet County
Courtland Township
100%50%0%FM65+45-6435-4425-34-66.046512%-66.046512%66.0%35.799436%16.279%16.3%9.804%9.80%-61.616162%-7.679583%-61.616162%61.6%16.162%16.2%10.000%10.0%-132.031250%-10.343524%-132.031250%132.0%56.250%56.3%24.242%24.2%-55.128205%-55.128205%55.1%4.127784%84.615%84.6%54.545%54.5%
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 Nicollet County and the Courtland Township
Courtland Township
Nicollet County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$64,583.000000$58,212.000000$64,583.000000$64.6k195.249%5.25%$40,972.000000$46,305.000000$40,972.000000$41.0k7921.823%21.8%$35,833.000000$36,587.000000$35,833.000000$35.8k8623.757%23.8%$36,250.000000$32,121.000000$36,250.000000$36.3k15241.989%42.0%$48,056.000000$23,340.000000$48,056.000000$48.1k267.182%7.18%$40,341.000000$39,168.000000$40,341.000000$40.3k362100.000%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 Nicollet County and the Courtland Township
Female Male
Nicollet County
Courtland Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-63,750.000000$-17,500.000000$-55,735.000000$-81,250.000000$81.3k$63,750.000000$55,735.000000$5,223.000000$63,750.000000$63.8k613$-32,083.000000$-41,233.000000$-32,083.000000$32.1k$32,083.000000$23,542.000000$41,233.000000$9,047.000000$55,625.000000$55.6k5227$-31,250.000000$-30,602.000000$-31,250.000000$31.3k$31,250.000000$5,000.000000$30,602.000000$13,759.000000$36,250.000000$36.3k5036$-18,542.000000$-22,294.000000$-18,542.000000$18.5k$18,542.000000$24,137.000000$22,294.000000$18,057.000000$42,679.000000$42.7k7577$-30,469.000000$-32,945.000000$-30,469.000000$30.5k$30,469.000000$18,559.000000$32,945.000000$11,551.000000$49,028.000000$49.0k187175
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 Nicollet County and the Courtland Township
Courtland Township
Nicollet County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma395.238095%92.176083%95.238095%95.2%8077.142857%88.501855%77.142857%77.1%5483.168317%76.178195%83.168317%83.2%8484.615385%48.704663%84.615385%84.6%11
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 Nicollet County and the Courtland Township
Female Male
Nicollet County
Courtland Township
Shaded bar tips show excess over facing bar.
2%0%2%4%6%8%10%12%MFWhite1-2.139037%-3.699619%-2.139037%2.1%2.139037%10.432391%3.699619%1.483706%12.571429%12.6%224
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 Nicollet County and the Courtland Township
Female Male
Nicollet County
Courtland Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1-22.857143%-8.158900%-32.948267%-0.448565%-31.016043%31.0%22.857143%32.948267%22.857143%22.9%4058
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Courtland Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
35.2%36.3%37.4%38.4%39.4%40.5%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
53.5%54.5%55.5%56.4%57.4%58.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.92%6.03%6.13%6.23%6.34%6.44%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.67%0.80%0.92%1.05%1.17%1.30%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.58%0.90%1.22%1.54%1.85%2.17%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%4.4%5.4%6.4%7.4%8.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
16.79%16.89%16.99%17.09%17.19%17.29%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.28%11.78%12.27%12.77%13.27%13.77%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
20.9%22.0%23.0%24.1%25.1%26.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.4%29.4%31.4%33.4%35.4%37.4%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.71%3.79%3.88%3.96%4.04%4.13%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.793%1.830%1.867%1.904%1.941%1.979%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.336%0.354%0.371%0.389%0.406%0.424%
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Educational Attainment by County Subdivision in the Mankato Area

There are 56 county subdivisions in the Mankato Area. This section compares the Courtland Township to the 50 most populous county subdivisions in the Mankato Area and to those entities that contain or substantially overlap with the Courtland Township. The least populous of the compared county subdivisions has a population of 188.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Courtland Township, selected other county subdivisions in the Mankato Area, and entities that contain the Courtland Township
0%5%10%15%Count#AmboyUnited States of AmericaUnited StatesTraverse TownshipTraverseSt. PeterCeresco TownshipCerescoMidwestLafayetteDanville TownshipDanvilleSouth Bend TownshipS BendLake Prairie TownshipLk PrairieWest North CentralMapleton TownshipMapletonMedo TownshipMapletonLake CrystalMinnesotaCourtland TownshipCourtlandPembertonVernon CenterBernadotte TownshipBernadotteDecoria TownshipDecoria480100Tract 480100Nicollet CountyNicolletGarden City TownshipGdn CityCourtlandGranby TownshipGranbyMankato and North Mankato Metro AreaMankato AreaWest Newton TownshipW NewtonMankatoGood ThunderBrighton TownshipBrightonRapidan TownshipRapidanCambria TownshipCambriaLafayette TownshipLafayetteEagle LakeNew Sweden TownshipNew SwedenMcPherson TownshipMcPhersonNorth MankatoSt. ClairLime TownshipLe Ray TownshipLe RayMadison LakeNicolletVernon Center TownshipVernon CtrSkylineBelgrade TownshipBelgradeLincoln TownshipLincolnButternut Valley TownshipButternut VlyLyra TownshipShelby TownshipShelbyBeauford TownshipBeaufordMankato TownshipMankatoOshawa TownshipOshawaJudson TownshipJudsonJamestown TownshipJamestownNicollet TownshipNicolletSterling TownshipSterling17.827869%17.827869%17.8%87113.020590%13.020590%13.0%27,818,38027.8M12.252964%12.252964%12.3%31210.983945%10.983945%11.0%691310.526316%10.526316%10.5%16410.244520%10.244520%10.2%4,641,8354.64M9.764310%9.764310%9.8%2959.523810%9.523810%9.5%1669.367297%9.367297%9.4%11479.230769%9.230769%9.2%4889.174633%9.174633%9.2%1,278,0511.28M8.653846%8.653846%8.7%1898.467742%8.467742%8.5%21108.397683%8.397683%8.4%87117.777778%7.777778%7.8%126127.376055%7.376055%7.4%270,121270k7.182320%7.182320%7.2%26137.100592%7.100592%7.1%12146.986900%6.986900%7.0%16156.857143%6.857143%6.9%12166.734435%6.734435%6.7%53176.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.343907%6.343907%6.3%38186.225681%6.225681%6.2%32196.077348%6.077348%6.1%11206.019515%6.019515%6.0%3,5785.934718%5.934718%5.9%20215.855251%5.855251%5.9%1,220225.822785%5.822785%5.8%23235.468750%5.468750%5.5%7245.149701%5.149701%5.1%43254.932735%4.932735%4.9%11264.901961%4.901961%4.9%25274.398148%4.398148%4.4%76284.347826%4.347826%4.3%8294.333333%4.333333%4.3%13303.998714%3.998714%4.0%373313.861789%3.861789%3.9%19323.748327%3.748327%3.7%28333.676471%3.676471%3.7%20343.581662%3.581662%3.6%25353.518268%3.518268%3.5%26363.496503%3.496503%3.5%5373.361345%3.361345%3.4%8383.291139%3.291139%3.3%26393.278689%3.278689%3.3%6402.916667%2.916667%2.9%7412.904564%2.904564%2.9%7422.843602%2.843602%2.8%6432.795031%2.795031%2.8%9442.346041%2.346041%2.3%32452.331002%2.331002%2.3%10462.233251%2.233251%2.2%9471.908397%1.908397%1.9%10481.724138%1.724138%1.7%7491.463415%1.463415%1.5%350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Courtland Township, selected other county subdivisions in the Mankato Area, and entities that contain the Courtland Township
0%20%40%60%Count#SkylineOshawa TownshipOshawaMankato TownshipMankatoNorth MankatoMankatoSterling TownshipSterlingLake Prairie TownshipLk PrairieMinnesotaLe Ray TownshipLe RaySt. PeterNicollet CountyNicolletLime TownshipMadison LakeMankato and North Mankato Metro AreaMankato AreaBelgrade TownshipBelgradeCourtlandUnited States of AmericaUnited StatesDecoria TownshipDecoriaWest North CentralRapidan TownshipRapidanJudson TownshipJudsonJamestown TownshipJamestownEagle LakeMedo TownshipMidwestGarden City TownshipGdn CityCourtland TownshipCourtlandTraverse TownshipTraverseLincoln TownshipLincolnNicollet TownshipNicolletLake CrystalNew Sweden TownshipNew SwedenVernon CenterSt. ClairMapleton TownshipMapletonLafayette TownshipLafayette480100Tract 480100McPherson TownshipMcPhersonButternut Valley TownshipButternut VlyDanville TownshipDanvilleGood ThunderNicolletGranby TownshipGranbyVernon Center TownshipVernon CtrShelby TownshipShelbySouth Bend TownshipS BendCeresco TownshipCerescoLyra TownshipMapletonWest Newton TownshipW NewtonCambria TownshipCambriaLafayetteBernadotte TownshipBernadotteBeauford TownshipBeaufordAmboyPembertonBrighton TownshipBrighton60.084034%60.084034%60.1%143141.025641%41.025641%41.0%176238.782991%38.782991%38.8%529336.159949%36.159949%36.2%3,373436.144174%36.144174%36.1%7,531535.121951%35.121951%35.1%72634.615385%34.615385%34.6%180734.240609%34.240609%34.2%1,253,9371.25M32.904412%32.904412%32.9%179832.586234%32.586234%32.6%2,050932.260315%32.260315%32.3%6,93532.128514%32.128514%32.1%2401032.091691%32.091691%32.1%2241131.879206%31.879206%31.9%18,94918.9k31.518987%31.518987%31.5%2491230.544747%30.544747%30.5%1571330.315023%30.315023%30.3%64,767,78764.8M30.114358%30.114358%30.1%2371430.056536%30.056536%30.1%4,186,9564.19M29.940120%29.940120%29.9%2501529.528536%29.528536%29.5%1191629.389313%29.389313%29.4%1541729.166667%29.166667%29.2%5041829.032258%29.032258%29.0%721928.952816%28.952816%29.0%13,118,64213.1M27.545910%27.545910%27.5%1652027.071823%27.071823%27.1%982126.086957%26.086957%26.1%662225.683060%25.683060%25.7%472325.123153%25.123153%25.1%1022424.691358%24.691358%24.7%4002524.456522%24.456522%24.5%452624.017467%24.017467%24.0%552723.780488%23.780488%23.8%1172823.076923%23.076923%23.1%482922.745098%22.745098%22.7%1163021.506734%21.506734%21.5%51121.000000%21.000000%21.0%633120.416667%20.416667%20.4%493220.238095%20.238095%20.2%343320.000000%20.000000%20.0%793419.891746%19.891746%19.9%1473519.889503%19.889503%19.9%363619.580420%19.580420%19.6%283719.431280%19.431280%19.4%413818.652424%18.652424%18.7%2273917.105263%17.105263%17.1%264016.597510%16.597510%16.6%404116.409266%16.409266%16.4%1704215.727003%15.727003%15.7%534315.246637%15.246637%15.2%344415.151515%15.151515%15.2%454514.857143%14.857143%14.9%264614.596273%14.596273%14.6%474711.475410%11.475410%11.5%56486.508876%6.508876%6.5%11496.250000%6.250000%6.3%850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Courtland Township, selected other county subdivisions in the Mankato Area, and entities that contain the Courtland Township
0%2%4%6%8%Count#Oshawa TownshipOshawaSkylineMankato TownshipMankatoLe Ray TownshipLe RaySterling TownshipSterlingSt. PeterSt. ClairNorth MankatoMankatoNicollet CountyNicolletLime TownshipJamestown TownshipJamestownBelgrade TownshipBelgradeMankato and North Mankato Metro AreaMankato AreaTraverse TownshipTraverseMinnesotaUnited States of AmericaUnited StatesWest North CentralNicollet TownshipNicolletMidwestLake Prairie TownshipLk PrairieRapidan TownshipRapidanLafayetteDecoria TownshipDecoriaMadison LakeLafayette TownshipLafayetteVernon CenterJudson TownshipJudsonBernadotte TownshipBernadotteGarden City TownshipGdn CityWest Newton TownshipW NewtonSouth Bend TownshipS BendEagle Lake480100Tract 480100Granby TownshipGranbyLincoln TownshipLincolnNew Sweden TownshipNew SwedenMapletonGood ThunderMapleton TownshipMapletonCambria TownshipCambriaLyra TownshipCourtland TownshipCourtlandNicolletBrighton TownshipBrightonLake CrystalButternut Valley TownshipButternut VlyMedo TownshipCourtlandAmboyBeauford TownshipBeaufordMcPherson TownshipMcPhersonShelby TownshipShelbyPembertonDanville TownshipDanvilleVernon Center TownshipVernon CtrCeresco TownshipCeresco8.158508%8.158508%8.2%3517.983193%7.983193%8.0%1926.451613%6.451613%6.5%8836.250000%6.250000%6.3%3445.365854%5.365854%5.4%1155.277380%5.277380%5.3%33264.471545%4.471545%4.5%2274.234563%4.234563%4.2%39584.218660%4.218660%4.2%87994.033121%4.033121%4.0%8673.882195%3.882195%3.9%29103.816794%3.816794%3.8%20113.670886%3.670886%3.7%29123.581763%3.581763%3.6%2,1293.557312%3.557312%3.6%9133.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.955665%2.955665%3.0%12142.893416%2.893416%2.9%1,311,0191.31M2.884615%2.884615%2.9%15152.874251%2.874251%2.9%24162.693603%2.693603%2.7%8172.541296%2.541296%2.5%20182.435530%2.435530%2.4%17191.960784%1.960784%2.0%10201.746725%1.746725%1.7%4211.736973%1.736973%1.7%7221.714286%1.714286%1.7%3231.669449%1.669449%1.7%10241.483680%1.483680%1.5%5251.479047%1.479047%1.5%18261.388889%1.388889%1.4%24271.262626%1.262626%1.3%301.104972%1.104972%1.1%2281.092896%1.092896%1.1%2291.086957%1.086957%1.1%2301.061776%1.061776%1.1%11311.012658%1.012658%1.0%4320.961538%0.961538%1.0%2330.896861%0.896861%0.9%2340.829876%0.829876%0.8%2350.828729%0.828729%0.8%3360.811908%0.811908%0.8%6370.781250%0.781250%0.8%1380.617284%0.617284%0.6%10390.416667%0.416667%0.4%1400.403226%0.403226%0.4%1410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in the Mankato Area, and entities that contain the Courtland Township
Female
Male
0x5x10xFM#JudsonSterlingLincolnVernon CtrAmboyDanvilleCourtlandRapidanNicolletShelbyCourtlandNicolletBeaufordMankatoPembertonMedo TownshipMcPhersonVernon CenterLake CrystalGood ThunderTract 480100W NewtonSt. PeterLafayetteOshawaMapletonDecoriaNicolletCambriaButternut VlyLk PrairieNew SwedenBrightonGranbyLime TownshipMankato AreaWest North CentralMinnesotaMidwestUnited StatesGdn CityLe RayMapletonTraverseMankatoBernadotteNorth MankatoEagle LakeCerescoBelgradeLafayetteLyra TownshipS BendSt. ClairJamestownMadison LakeSkyline-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.054%4.05%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.778%2.78%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.250%6.25%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.410%6.41%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x3.057%3.06%30.888%30.9%5-1.000000x-1.000000x6.066667x6.066667x6.07x2.564%2.56%15.556%15.6%6-1.000000x-1.000000x5.877143x5.877143x5.88x2.139%2.14%12.571%12.6%7-1.000000x-1.000000x5.864097x5.864097x5.86x1.474%1.47%8.645%8.64%8-1.000000x-1.000000x5.277778x5.277778x5.28x0.526%0.53%2.778%2.78%9-1.000000x-1.000000x5.144231x5.144231x5.14x0.935%0.93%4.808%4.81%10-1.000000x-1.000000x3.855392x3.855392x3.86x2.479%2.48%9.559%9.56%11-1.000000x-1.000000x3.657722x3.657722x3.66x1.453%1.45%5.316%5.32%12-1.000000x-1.000000x3.588050x3.588050x3.59x1.227%1.23%4.403%4.40%13-1.000000x-1.000000x3.328612x3.328612x3.33x1.064%1.06%3.541%3.54%14-1.000000x-1.000000x2.506667x2.506667x2.51x4.255%4.26%10.667%10.7%15-1.000000x-1.000000x2.099174x2.099174x2.10x5.512%5.51%11.570%11.6%16-1.000000x-1.000000x2.076923x2.076923x2.08x2.778%2.78%5.769%5.77%17-1.000000x-1.000000x2.038835x2.038835x2.04x4.762%4.76%9.709%9.71%18-1.000000x-1.000000x1.905210x1.905210x1.91x5.402%5.40%10.292%10.3%19-1.000000x-1.000000x1.903699x1.903699x1.90x4.020%4.02%7.653%7.65%20-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-1.000000x-1.000000x1.762153x1.762153x1.76x4.138%4.14%7.292%7.29%21-1.000000x-1.000000x1.575097x1.575097x1.58x8.465%8.47%13.333%13.3%22-1.000000x-1.000000x1.495387x1.495387x1.50x3.863%3.86%5.776%5.78%23-1.000000x-1.000000x1.451835x1.451835x1.45x1.896%1.90%2.752%2.75%24-1.000000x-1.000000x1.373230x1.373230x1.37x7.216%7.22%9.910%9.91%25-1.000000x-1.000000x1.365921x1.365921x1.37x5.645%5.65%7.711%7.71%26-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-1.000000x-1.000000x1.277778x1.277778x1.28x4.348%4.35%5.556%5.56%27-1.000000x-1.000000x1.268293x1.268293x1.27x2.564%2.56%3.252%3.25%28-1.000000x-1.000000x1.258541x1.258541x1.26x8.085%8.09%10.175%10.2%29-1.000000x-1.000000x1.226415x1.226415x1.23x3.846%3.85%4.717%4.72%30-1.000000x-1.000000x1.213930x1.213930x1.21x4.918%4.92%5.970%5.97%31-1.000000x-1.000000x1.213333x1.213333x1.21x5.495%5.49%6.667%6.67%32-1.000000x-1.000000x1.207483x1.207483x1.21x3.380%3.38%4.082%4.08%33-1.000000x-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.022080x1.022080x1.02x6.272%6.27%6.410%6.41%34-1.000000x-1.000000x1.000000x1.000000x3.676%3.68%3.676%3.68%35-1.050097x-1.050097x1.05x1.000000x1.000000x8.581%8.58%8.172%8.17%36-1.055672x-1.055672x1.06x1.000000x1.000000x12.605%12.6%11.940%11.9%37-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%38-1.160494x-1.160494x1.16x1.000000x1.000000x7.407%7.41%6.383%6.38%39-1.251540x-1.251540x1.25x1.000000x1.000000x4.425%4.42%3.535%3.54%40-1.299183x-1.299183x1.30x1.000000x1.000000x5.039%5.04%3.878%3.88%41-1.303030x-1.303030x1.30x1.000000x1.000000x12.121%12.1%9.302%9.30%42-1.370558x-1.370558x1.37x1.000000x1.000000x3.807%3.81%2.778%2.78%43-1.426239x-1.426239x1.43x1.000000x1.000000x11.486%11.5%8.054%8.05%44-1.485380x-1.485380x1.49x1.000000x1.000000x3.509%3.51%2.362%2.36%45-1.521850x-1.521850x1.52x1.000000x1.000000x11.254%11.3%7.395%7.39%46-1.709697x-1.709697x1.71x1.000000x1.000000x4.727%4.73%2.765%2.76%47-1.747934x-1.747934x1.75x1.000000x1.000000x2.479%2.48%1.418%1.42%48-1.893491x-1.893491x1.89x1.000000x1.000000x4.734%4.73%2.500%2.50%49-2.622047x-2.622047x2.62x1.000000x1.000000x4.724%4.72%1.802%1.80%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in the Mankato Area, and entities that contain the Courtland Township
Female
Male
10x5x0x5x10xFM#Madison LakeLafayetteCourtlandMapletonVernon CenterSkylineLime TownshipMankatoMankatoTraverseMidwestRapidanWest North CentralUnited StatesMinnesotaMankato AreaNorth MankatoSt. PeterTract 480100JamestownNicolletLe RayS BendGood ThunderLafayetteEagle LakeLk PrairieBelgradeLyra TownshipDecoriaSt. ClairOshawaSterlingMapletonGdn CityJudsonNicolletW NewtonLake CrystalNicolletMedo TownshipButternut VlyCambriaBernadotteLincolnNew SwedenGranbyBrighton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.722%4.72%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.610%3.61%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.714%1.71%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.802%1.80%4-1.000000x-1.000000x3.669903x3.669903x3.67x0.794%0.79%2.913%2.91%5-1.000000x-1.000000x2.478979x2.478979x2.48x4.724%4.72%11.712%11.7%6-1.000000x-1.000000x2.377232x2.377232x2.38x2.254%2.25%5.357%5.36%7-1.000000x-1.000000x2.105655x2.105655x2.11x4.103%4.10%8.640%8.64%8-1.000000x-1.000000x1.831940x1.831940x1.83x2.992%2.99%5.480%5.48%9-1.000000x-1.000000x1.776119x1.776119x1.78x2.521%2.52%4.478%4.48%10-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.584891x1.584891x1.58x2.211%2.21%3.505%3.50%11-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-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-1.000000x1.471614x1.471614x1.47x2.897%2.90%4.263%4.26%-1.000000x-1.000000x1.453979x1.453979x1.45x3.478%3.48%5.057%5.06%12-1.000000x-1.000000x1.395572x1.395572x1.40x4.381%4.38%6.114%6.11%13-1.000000x-1.000000x1.342105x1.342105x1.34x1.070%1.07%1.435%1.44%-1.000000x-1.000000x1.287234x1.287234x1.29x3.306%3.31%4.255%4.26%14-1.000000x-1.000000x1.271055x1.271055x1.27x3.549%3.55%4.511%4.51%-1.000000x-1.000000x1.266667x1.266667x1.27x5.515%5.51%6.985%6.99%15-1.000000x-1.000000x1.045378x1.045378x1.05x1.447%1.45%1.513%1.51%16-1.000000x-1.000000x1.015306x1.015306x1.02x1.005%1.01%1.020%1.02%17-1.006757x-1.006757x1.01x1.000000x1.000000x2.703%2.70%2.685%2.68%18-1.042934x-1.042934x1.04x1.000000x1.000000x1.421%1.42%1.363%1.36%19-1.061170x-1.061170x1.06x1.000000x1.000000x2.979%2.98%2.807%2.81%20-1.076867x-1.076867x1.08x1.000000x1.000000x3.807%3.81%3.535%3.54%21-1.114035x-1.114035x1.11x1.000000x1.000000x0.877%0.88%0.787%0.79%22-1.115591x-1.115591x1.12x1.000000x1.000000x2.688%2.69%2.410%2.41%23-1.139798x-1.139798x1.14x1.000000x1.000000x4.727%4.73%4.147%4.15%24-1.549763x-1.549763x1.55x1.000000x1.000000x9.953%9.95%6.422%6.42%25-1.948454x-1.948454x1.95x1.000000x1.000000x7.216%7.22%3.704%3.70%26-2.171629x-2.171629x2.17x1.000000x1.000000x1.401%1.40%0.645%0.65%27-2.536585x-2.536585x2.54x1.000000x1.000000x2.439%2.44%0.962%0.96%28-3.066298x-3.066298x3.07x1.000000x1.000000x2.762%2.76%0.901%0.90%29-3.410526x-3.410526x3.41x1.000000x1.000000x4.737%4.74%1.389%1.39%30-5.296552x-5.296552x5.30x1.000000x1.000000x2.759%2.76%0.521%0.52%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.200%1.20%0.000%0%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.744%1.74%0.000%0%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.787%0.79%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.855%0.85%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.739%1.74%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.704%3.70%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.299%2.30%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.564%2.56%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.198%2.20%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.639%1.64%0.000%0%41
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 41 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 Courtland Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Courtland Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Courtland Township, selected other county subdivisions in Minnesota, and entities that contain the Courtland Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCourtland TownshipCourtlandCoon RapidsRosevilleDuluth480100Tract 480100Nicollet CountyNicolletRochesterBurnsvilleHastingsMankato and North Mankato Metro AreaMankato AreaMankatoNew 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%1,278,0511.28M7.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%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%1,237167.182320%7.182320%7.2%267.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.456536%6.456536%6.5%3,427196.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952226.019515%6.019515%6.0%3,5785.855251%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Courtland Township, selected other county subdivisions in Minnesota, and entities that contain the Courtland Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineNicollet CountyNicolletMankato and North Mankato Metro AreaMankato AreaOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCourtland TownshipCourtlandCoon Rapids480100Tract 480100AustinBrooklyn CenterBrooklyn CtrFaribault68.687093%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%13,82013.8k3532.260315%32.260315%32.3%6,93531.879206%31.879206%31.9%18,94918.9k31.447341%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%5,0284627.071823%27.071823%27.1%9825.993543%25.993543%26.0%11,19111.2k4721.506734%21.506734%21.5%51121.410083%21.410083%21.4%3,4744820.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,01150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Courtland Township, selected other county subdivisions in Minnesota, and entities that contain the Courtland Township
0%2%4%6%8%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoNicollet CountyNicolletChanhassenMaple GroveMaplewoodMankato and North Mankato Metro AreaMankato AreaLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon Rapids480100Tract 480100Brooklyn CenterBrooklyn CtrHastingsCourtland TownshipCourtland11.352388%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%879164.033121%4.033121%4.0%8673.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.581763%3.581763%3.6%2,1293.521423%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%605292.500485%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%283391.673021%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%209461.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.262626%1.262626%1.3%301.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.828729%0.828729%0.8%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in Minnesota, and entities that contain the Courtland Township
Female
Male
0x2x4xFM#CourtlandFarmingtonTract 480100RamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkNicolletShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthMankato AreaBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x5.877143x5.877143x5.88x2.139%2.14%12.571%12.6%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-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-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-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-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-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-1.000000x1.079970x1.079970x1.08x5.025%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-1.000000x1.037512x1.037512x1.04x4.848%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#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in Minnesota, and entities that contain the Courtland Township
Female
Male
0x5x10xFM#CourtlandWinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaMankato AreaDuluthSt. Louis PkFaribaultInver Grv HtsEaganBrooklyn CtrTract 480100St. PaulNicolletPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.714%1.71%-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-1.000000x1.471614x1.471614x1.47x2.897%2.90%4.263%4.26%-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-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%35-1.000000x-1.000000x1.367180x1.367180x1.37x0.959%0.96%1.311%1.31%36-1.000000x-1.000000x1.342105x1.342105x1.34x1.070%1.07%1.435%1.44%-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%37-1.000000x-1.000000x1.271055x1.271055x1.27x3.549%3.55%4.511%4.51%-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
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 Courtland Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Courtland Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Courtland Township, selected other county subdivisions in the Midwest, and entities that contain the Courtland 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 CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaCourtland TownshipCourtlandLincolnWashington TownshipWashington480100Tract 480100Nicollet CountyNicolletOlatheFargoMankato and North Mankato Metro AreaMankato AreaCedar 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%1,278,0511.28M8.623103%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%7,226387.376055%7.376055%7.4%270,121270k7.182320%7.182320%7.2%267.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270426.019515%6.019515%6.0%3,5785.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Courtland Township, selected other county subdivisions in the Midwest, and entities that contain the Courtland 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 TownshipBloomingdaleNicollet CountyNicolletMankato and North Mankato Metro AreaMankato AreaCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsCourtland TownshipCourtlandTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockford480100Tract 480100AkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%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%25,12725.1k2732.260315%32.260315%32.3%6,93531.879206%31.879206%31.9%18,94918.9k31.793440%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%25,60325.6k3127.071823%27.071823%27.1%9827.007248%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%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.506734%21.506734%21.5%51120.213821%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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Courtland Township, selected other county subdivisions in the Midwest, and entities that contain the Courtland Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaNicollet CountyNicolletMaine TownshipMaineMankato and North Mankato Metro AreaMankato AreaPalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroit480100Tract 480100DaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonCourtland TownshipCourtland17.877867%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%11,66511.7k184.033121%4.033121%4.0%8674.030539%4.030539%4.0%3,970193.581763%3.581763%3.6%2,1293.487439%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%2,576302.551250%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%4,911391.642065%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%5,693441.262626%1.262626%1.3%301.257490%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%971500.828729%0.828729%0.8%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in the Midwest, and entities that contain the Courtland Township
Female
Male
0x2x4xFM#CourtlandTract 480100NicolletCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMankato AreaMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x5.877143x5.877143x5.88x2.139%2.14%12.571%12.6%-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-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-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-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-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in the Midwest, and entities that contain the Courtland Township
Female
Male
0x5x10xFM#CourtlandRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsMankato AreaPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsTract 480100ClevelandCincinnatiSt. PaulSt. LouisNicolletChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.714%1.71%-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-1.000000x1.471614x1.471614x1.47x2.897%2.90%4.263%4.26%-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-1.000000x1.342105x1.342105x1.34x1.070%1.07%1.435%1.44%-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-1.000000x1.271055x1.271055x1.27x3.549%3.55%4.511%4.51%-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 Courtland Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Courtland Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Courtland Township, selected other county subdivisions in the United States, and entities that contain the Courtland 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 CentralSeattleNortheast TarrantNE TarrantMinnesotaCourtland TownshipCourtland480100Tract 480100Nicollet CountyNicolletMankato and North Mankato Metro AreaMankato AreaPlanoSeattle 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%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k7.182320%7.182320%7.2%266.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.019515%6.019515%6.0%3,5785.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Courtland Township, selected other county subdivisions in the United States, and entities that contain the Courtland 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 CityAlbuquerqueTampaNicollet CountyNicolletTucsonMankato and North Mankato Metro AreaMankato AreaOceanside-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 VlyCourtland TownshipCourtlandOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas Vegas480100Tract 480100El 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%143,978144k1536.877886%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%144,676145k2532.260315%32.260315%32.3%6,93532.087814%32.087814%32.1%184,237184k2631.879206%31.879206%31.9%18,94918.9k31.198303%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%170,682171k3727.071823%27.071823%27.1%9826.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.506734%21.506734%21.5%51121.071885%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#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Courtland Township, selected other county subdivisions in the United States, and entities that contain the Courtland Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNicollet CountyNicolletMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyMankato and North Mankato Metro AreaMankato AreaTownship 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 TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit480100Tract 480100Courtland TownshipCourtland12.461852%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%19,24719.2k194.033121%4.033121%4.0%8674.025531%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%45,61045.6k253.581763%3.581763%3.6%2,1293.490252%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%9,827392.484535%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%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.262626%1.262626%1.3%300.828729%0.828729%0.8%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in the United States, and entities that contain the Courtland Township
Female
Male
0x2x4xFM#CourtlandTract 480100Nicollet1, CharlotteDetroitMankato AreaBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x5.877143x5.877143x5.88x2.139%2.14%12.571%12.6%-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-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-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-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-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Courtland Township, selected other county subdivisions in the United States, and entities that contain the Courtland Township
Female
Male
0x5x10xFM#CourtlandEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaMankato AreaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoTract 480100PhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensNicolletSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.714%1.71%-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-1.000000x1.471614x1.471614x1.47x2.897%2.90%4.263%4.26%-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-1.000000x1.342105x1.342105x1.34x1.070%1.07%1.435%1.44%-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-1.000000x1.271055x1.271055x1.27x3.549%3.55%4.511%4.51%-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.

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Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
Nicollet
Metro Area:
Mankato Area
ZIP Codes:
56021, 56073, 56074
Unified School Districts:
New Ulm, Nicollet
Congressional District:
MN-1
State Senate Districts:
MN-16, MN-19
State House Districts:
MN-16B, MN-19A
Neighboring Cities:
Courtland, New Ulm
Neighboring Townships:
Brighton, Cambria, Cottonwood, Granby, Judson, Lafayette, Nicollet
Nearby Townships:
Bernadotte, Butternut Valley, Linden, Milford, New Sweden, Oshawa, Sigel