Educational Attainment in the Willmar Township, Kandiyohi County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Kandiyohi County and the Willmar Township
Willmar Township
Kandiyohi County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.943925%36.557297%32.943925%32.9%14154.906542%51.675528%54.906542%54.9%23512.149533%11.767175%12.149533%12.1%52
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 Kandiyohi County at large.
Scope: population of Kandiyohi County and the Willmar Township
-5%0%+5%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-9.884132%-9.884132%-9.9%32.944%32.9%36.557%36.6%6.252503%6.252503%+6.3%54.907%54.9%51.676%51.7%3.249358%3.249358%+3.2%12.150%12.1%11.767%11.8%
% percentage with given level in the Willmar Township
ref. percentage with given level in Kandiyohi 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 Kandiyohi County and the Willmar Township
Willmar Township
Kandiyohi County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.467290%0.626137%0.467290%0.5%21.401869%1.902896%1.401869%1.4%63.738318%4.970617%3.738318%3.7%1616.121495%15.016790%16.121495%16.1%6911.214953%14.040856%11.214953%11.2%4829.205607%25.174899%29.205607%29.2%12525.700935%26.500630%25.700935%25.7%1104.439252%6.534210%4.439252%4.4%197.242991%4.106618%7.242991%7.2%310.467290%1.126347%0.467290%0.5%2
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 Kandiyohi County at large.
Scope: population of Kandiyohi County and the Willmar Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-25.369394%-25.369394%-25.4%0.467%0.47%0.626%0.63%-26.329714%-26.329714%-26.3%1.402%1.40%1.903%1.90%-24.791676%-24.791676%-24.8%3.738%3.74%4.971%4.97%7.356466%7.356466%+7.4%16.121%16.1%15.017%15.0%-20.126287%-20.126287%-20.1%11.215%11.2%14.041%14.0%16.010825%16.010825%+16.0%29.206%29.2%25.175%25.2%-3.017645%-3.017645%-3.0%25.701%25.7%26.501%26.5%-32.061378%-32.061378%-32.1%4.439%4.44%6.534%6.53%76.373609%76.373609%+76.4%7.243%7.24%4.107%4.11%-58.512800%-58.512800%-58.5%0.467%0.47%1.126%1.13%
% percentage with given level in the Willmar Township
ref. percentage with given level in Kandiyohi 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 Kandiyohi County and the Willmar Township
More Females More Males
Kandiyohi County
Willmar Township
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.982833%-7.773503%-12.982833%13%34.764%34.8%30.769%30.8%1.611145%1.232110%1.611145%2%54.506%54.5%55.385%55.4%29.046154%19.575285%29.046154%29%10.730%10.7%13.846%13.8%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Kandiyohi County and the Willmar Township
More Females More Males
Kandiyohi County
Willmar Township
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%85.357003%1,000.000000%> 1000%0.000%0%1.026%1.03%497.435897%168.476784%497.435897%497%0.429%0.43%2.564%2.56%-7.602698%-24.172010%-7.602698%8%3.863%3.86%3.590%3.59%-12.821308%9.529915%9.529915%10%15.451%15.5%16.923%16.9%-125.321888%-15.230124%-125.321888%125%15.021%15.0%6.667%6.67%-8.987437%13.886218%13.886218%14%27.468%27.5%31.282%31.3%-12.181536%-12.181536%12%11.131557%27.039%27.0%24.103%24.1%-15.075107%-15.075107%15%59.370571%4.721%4.72%4.103%4.10%-35.797126%45.091575%45.091575%45%6.009%6.01%8.718%8.72%1,000.000000%35.808647%1,000.000000%> 1000%0.000%0%1.026%1.03%
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 Kandiyohi County and the Willmar Township
Willmar Township
Kandiyohi County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3414.084507%13.150348%14.084507%14.1%2014213.513514%14.915254%13.513514%13.5%2518519.047619%16.795580%19.047619%19.0%84227.118644%16.313276%27.118644%27.1%1659
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 Kandiyohi County at large.
Scope: population of Kandiyohi County and the Willmar Township
0%20%40%60%%ref.65+45-6435-4425-347.103681%7.103681%7.1%14.085%14.1%13.150%13.2%-9.398034%-9.398034%9.4%13.514%13.5%14.915%14.9%13.408521%13.408521%13.4%19.048%19.0%16.796%16.8%66.236653%66.236653%66.2%27.119%27.1%16.313%16.3%
% percentage in the Willmar Township with a Bachelor's degree
ref percentage in Kandiyohi 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 Kandiyohi County and the Willmar Township
More Females More Males
Kandiyohi County
Willmar Township
100%50%0%50%FM65+45-6435-4425-34-113.253012%-113.253012%113.3%4.538702%18.072%18.1%8.475%8.47%-12.002434%91.760300%91.760300%91.8%9.375%9.38%17.978%18.0%-29.429498%83.333333%83.333333%83.3%13.636%13.6%25.000%25.0%-8.482143%-27.852698%-8.482143%8.5%28.125%28.1%25.926%25.9%
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 Kandiyohi County and the Willmar Township
Willmar Township
Kandiyohi County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$65,000.000000$60,392.000000$65,000.000000$65.0k245.607%5.61%$53,750.000000$41,609.000000$53,750.000000$53.8k6916.121%16.1%$39,063.000000$31,626.000000$39,063.000000$39.1k17340.421%40.4%$23,750.000000$27,942.000000$23,750.000000$23.8k11025.701%25.7%$16,477.000000$23,946.000000$16,477.000000$16.5k5212.150%12.1%$35,500.000000$32,499.000000$35,500.000000$35.5k428100.000%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 Kandiyohi County and the Willmar Township
Female Male
Kandiyohi County
Willmar Township
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40kFMBachelor's DegreeSome CollegeNo H.S. Diploma2Total$-46,750.000000$-33,986.000000$-46,750.000000$46.8k$46,750.000000$10,438.000000$33,986.000000$18,150.000000$57,188.000000$57.2k3633$-21,827.000000$-25,728.000000$-21,827.000000$21.8k$21,827.000000$28,729.000000$25,728.000000$16,349.000000$50,556.000000$50.6k9974$-2,499.000000$-17,858.000000$-14,729.000000$-20,357.000000$20.4k$2,499.000000$14,729.000000$13,932.000000$2,499.000000$2.5k2527$-21,293.000000$-26,422.000000$-21,293.000000$21.3k$21,293.000000$28,854.000000$26,422.000000$14,640.000000$50,147.000000$50.1k233195
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 Kandiyohi County and the Willmar Township
Willmar Township
Kandiyohi County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma396.969697%86.580353%96.969697%97.0%6478.014184%83.960310%78.014184%78.0%11084.444444%79.313181%84.444444%84.4%3882.352941%59.450317%82.352941%82.4%28
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 Kandiyohi County and the Willmar Township
Female Male
Kandiyohi County
Willmar Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1BlackHispanic2Other1-0.975610%-5.779992%-0.975610%1.0%0.975610%10.314713%5.779992%1.901085%11.290323%11.3%212-0.000000%-100.000000%-40.000000%-32.401434%-100.000000%100.0%0.000000%40.000000%0.000000%0.0%014-100.000000%-54.606526%-100.000000%100.0%100.000000%0.000000%54.606526%1.883270%100.000000%100.0%69-0.000000%-55.491329%-5.378236%0.000000%0.0%0.000000%75.000000%55.491329%75.000000%75.0%60
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 Kandiyohi County and the Willmar Township
Female Male
Kandiyohi County
Willmar Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackHispanic2Other1-22.439024%-24.673534%-0.217229%-22.439024%22.4%22.439024%2.829793%24.673534%25.268817%25.3%4746-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-0.000000%-4.222649%0.000000%0.0%0.000000%0.000000%4.222649%0.430412%0.000000%0.0%00-0.000000%-3.804348%0.000000%0.0%0.000000%0.000000%3.804348%0.964438%0.000000%0.0%00
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 Willmar 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
27.7%32.3%36.8%41.3%45.9%50.5%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
43.9%45.3%46.6%47.8%49.1%50.5%

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
5.6%8.9%12.1%15.4%18.6%21.9%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.30%0.55%0.80%1.05%1.29%1.54%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.85%2.19%2.53%2.87%3.21%3.55%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%5.0%5.6%6.3%6.9%7.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.2%13.4%15.6%17.8%20.0%22.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.5%11.1%12.7%14.3%15.9%17.5%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
21.8%22.7%23.6%24.5%25.4%26.3%

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
19.7%21.0%22.2%23.4%24.6%25.9%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
2.9%5.3%7.7%10.0%12.4%14.8%

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
2.3%3.5%4.5%5.6%6.7%7.8%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%0.8%1.4%2.0%2.5%3.2%
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Educational Attainment by County Subdivision in the Willmar Area

There are 36 county subdivisions in the Willmar Area. This section compares the Willmar Township to all of the county subdivisions in the Willmar Area and to those entities that contain or substantially overlap with the Willmar Township.

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 Willmar Township, selected other county subdivisions in the Willmar Area, and entities that contain the Willmar Township
0%5%10%15%20%Count#Lake Lillian TownshipLk LillianWillmarZIP Code 56201ZIP 56201Roseville TownshipRosevilleUnited States of AmericaUnited StatesWillmar TownshipWillmarWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiPennockNew LondonPrinsburgMidwestLake LillianAtwaterColfax TownshipColfaxWest North CentralSunburgSt. Johns TownshipSt. JohnsLake Elizabeth TownshipLk ElizabethEast Lake Lillian TownshipE Lk LillianMinnesotaArctander TownshipArctanderRaymondBlomkestLake Andrew TownshipLk AndrewKandiyohi TownshipKandiyohiRoseland TownshipRoselandHolland TownshipHollandNorway Lake TownshipNorway LkBurbank TownshipBurbankKandiyohiNew London TownshipNew LondonIrving TownshipIrvingEdwards TownshipEdwardsFahlun TownshipFahlunGennessee TownshipGennesseeSpicerDovre TownshipDovreWhitefield TownshipWhitefieldMamre TownshipMamreHarrison TownshipHarrisonGreen Lake TownshipGrn LkRegal20.588235%20.588235%20.6%35118.423170%18.423170%18.4%2,290216.314562%16.314562%16.3%2,44813.212435%13.212435%13.2%51313.020590%13.020590%13.0%27,818,38027.8M12.149533%12.149533%12.1%52411.767175%11.767175%11.8%3,36411.767175%11.767175%11.8%3,36411.333333%11.333333%11.3%34511.264368%11.264368%11.3%98610.781671%10.781671%10.8%40710.244520%10.244520%10.2%4,641,8354.64M10.062893%10.062893%10.1%1689.745763%9.745763%9.7%6999.447005%9.447005%9.4%41109.174633%9.174633%9.2%1,278,0511.28M8.823529%8.823529%8.8%6118.403361%8.403361%8.4%20128.088235%8.088235%8.1%11137.947020%7.947020%7.9%12147.376055%7.376055%7.4%270,121270k7.279693%7.279693%7.3%19157.158837%7.158837%7.2%32167.142857%7.142857%7.1%6176.931964%6.931964%6.9%54186.614786%6.614786%6.6%34196.382979%6.382979%6.4%18206.048387%6.048387%6.0%15215.963303%5.963303%6.0%13225.915493%5.915493%5.9%21235.898876%5.898876%5.9%21245.217808%5.217808%5.2%109255.019815%5.019815%5.0%38264.938272%4.938272%4.9%8274.659498%4.659498%4.7%13284.605263%4.605263%4.6%14294.550499%4.550499%4.6%41304.181432%4.181432%4.2%59313.888889%3.888889%3.9%14323.435115%3.435115%3.4%9333.303965%3.303965%3.3%15342.978723%2.978723%3.0%35352.439024%2.439024%2.4%136
Count number of people in category
# rank of county subdivision out of 36 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 Willmar Township, selected other county subdivisions in the Willmar Area, and entities that contain the Willmar Township
0%10%20%30%40%Count#Dovre TownshipDovreGreen Lake TownshipGrn LkMinnesotaIrving TownshipIrvingUnited States of AmericaUnited StatesWest North CentralMidwestNew London TownshipNew LondonLake Andrew TownshipLk AndrewSpicerPrinsburgNew LondonHarrison TownshipHarrisonZIP Code 56201ZIP 56201Willmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiArctander TownshipArctanderHolland TownshipHollandWillmar TownshipWillmarWillmarWhitefield TownshipWhitefieldKandiyohi TownshipKandiyohiMamre TownshipMamreRoseville TownshipRosevilleColfax TownshipColfaxRaymondGennessee TownshipGennesseeEast Lake Lillian TownshipE Lk LillianFahlun TownshipFahlunBurbank TownshipBurbankRoseland TownshipRoselandNorway Lake TownshipNorway LkKandiyohiSt. Johns TownshipSt. JohnsAtwaterLake Lillian TownshipLk LillianEdwards TownshipEdwardsRegalPennockLake LillianSunburgLake Elizabeth TownshipLk ElizabethBlomkest40.609497%40.609497%40.6%573136.170213%36.170213%36.2%425234.240609%34.240609%34.2%1,253,9371.25M30.647292%30.647292%30.6%232330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M26.711345%26.711345%26.7%558426.572529%26.572529%26.6%207526.304107%26.304107%26.3%237625.876011%25.876011%25.9%96724.942529%24.942529%24.9%217824.449339%24.449339%24.4%111922.732423%22.732423%22.7%3,41122.516440%22.516440%22.5%6,43722.516440%22.516440%22.5%6,43722.222222%22.222222%22.2%581021.774194%21.774194%21.8%541121.728972%21.728972%21.7%931220.691874%20.691874%20.7%2,5721320.277778%20.277778%20.3%731419.649805%19.649805%19.6%1011519.465649%19.465649%19.5%511619.430052%19.430052%19.4%751719.354839%19.354839%19.4%841818.568233%18.568233%18.6%831918.421053%18.421053%18.4%562017.880795%17.880795%17.9%272117.204301%17.204301%17.2%482215.774648%15.774648%15.8%562314.539007%14.539007%14.5%412413.302752%13.302752%13.3%292513.202247%13.202247%13.2%472613.025210%13.025210%13.0%312712.994350%12.994350%13.0%922812.941176%12.941176%12.9%222912.345679%12.345679%12.3%20309.756098%9.756098%9.8%4319.666667%9.666667%9.7%29329.433962%9.433962%9.4%15338.823529%8.823529%8.8%6346.617647%6.617647%6.6%9355.952381%5.952381%6.0%536
Count number of people in category
# rank of county subdivision out of 36 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 Willmar Township, selected other county subdivisions in the Willmar Area, and entities that contain the Willmar Township
0%1%2%3%4%Count#RegalDovre TownshipDovreSpicerLake Andrew TownshipLk AndrewGreen Lake TownshipGrn LkMinnesotaUnited States of AmericaUnited StatesZIP Code 56201ZIP 56201WillmarWest North CentralIrving TownshipIrvingMidwestNew London TownshipNew LondonWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiMamre TownshipMamreKandiyohiWillmar TownshipWillmarFahlun TownshipFahlunBurbank TownshipBurbankNew LondonGennessee TownshipGennesseeHarrison TownshipHarrisonKandiyohi TownshipKandiyohiColfax TownshipColfaxSt. Johns TownshipSt. JohnsArctander TownshipArctanderEdwards TownshipEdwardsLake Lillian TownshipLk LillianWhitefield TownshipWhitefieldPrinsburgRoseville TownshipRosevilleNorway Lake TownshipNorway LkRaymondAtwaterPennockRoseland TownshipRoselandHolland TownshipHollandLake LillianEast Lake Lillian TownshipE Lk LillianLake Elizabeth TownshipLk ElizabethBlomkestSunburg4.878049%4.878049%4.9%214.819277%4.819277%4.8%6824.550499%4.550499%4.6%4134.364570%4.364570%4.4%3443.659574%3.659574%3.7%4353.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.152283%3.152283%3.2%4733.057120%3.057120%3.1%38062.978981%2.978981%3.0%414,980415k2.906209%2.906209%2.9%2272.893416%2.893416%2.9%1,311,0191.31M2.537099%2.537099%2.5%5382.529033%2.529033%2.5%7232.529033%2.529033%2.5%7232.290076%2.290076%2.3%691.966292%1.966292%2.0%7101.869159%1.869159%1.9%8111.792115%1.792115%1.8%5121.408451%1.408451%1.4%5131.379310%1.379310%1.4%12141.315789%1.315789%1.3%4151.101322%1.101322%1.1%5160.972763%0.972763%1.0%5170.921659%0.921659%0.9%4180.840336%0.840336%0.8%2190.766284%0.766284%0.8%2200.617284%0.617284%0.6%1210.588235%0.588235%0.6%1220.555556%0.555556%0.6%2230.539084%0.539084%0.5%2240.518135%0.518135%0.5%2250.458716%0.458716%0.5%1260.447427%0.447427%0.4%2270.423729%0.423729%0.4%3280.333333%0.333333%0.3%1290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%036
Count number of people in category
# rank of county subdivision out of 36 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 Willmar Township, selected other county subdivisions in the Willmar Area, and entities that contain the Willmar Township
Female
Male
0x5x10xFM#E Lk LillianRegalGennesseeEdwardsNorway LkBlomkestRosevilleLk AndrewDovreHarrisonSpicerLk LillianAtwaterColfaxPennockHollandBurbankIrvingPrinsburgArctanderNew LondonKandiyohiWillmarWhitefieldFahlunWillmar AreaKandiyohiWest North CentralMinnesotaMidwestZIP 56201United StatesMamreWillmarSt. JohnsGrn LkRoselandKandiyohiLk ElizabethNew LondonRaymondLake LillianSunburg-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.953%14.0%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.348%4.35%2-1.000000x-1.000000x5.617834x5.617834x5.62x1.361%1.36%7.643%7.64%3-1.000000x-1.000000x5.461538x5.461538x5.46x1.408%1.41%7.692%7.69%4-1.000000x-1.000000x4.247967x4.247967x4.25x2.105%2.11%8.943%8.94%5-1.000000x-1.000000x3.936170x3.936170x3.94x2.703%2.70%10.638%10.6%6-1.000000x-1.000000x3.813000x3.813000x3.81x5.376%5.38%20.500%20.5%7-1.000000x-1.000000x3.385101x3.385101x3.39x3.133%3.13%10.606%10.6%8-1.000000x-1.000000x2.863492x2.863492x2.86x2.152%2.15%6.162%6.16%9-1.000000x-1.000000x2.750000x2.750000x2.75x1.762%1.76%4.846%4.85%10-1.000000x-1.000000x2.443638x2.443638x2.44x2.649%2.65%6.473%6.47%11-1.000000x-1.000000x2.174112x2.174112x2.17x12.329%12.3%26.804%26.8%12-1.000000x-1.000000x2.057307x2.057307x2.06x6.407%6.41%13.181%13.2%13-1.000000x-1.000000x1.964080x1.964080x1.96x6.280%6.28%12.335%12.3%14-1.000000x-1.000000x1.896321x1.896321x1.90x8.025%8.02%15.217%15.2%15-1.000000x-1.000000x1.875000x1.875000x1.88x4.167%4.17%7.813%7.81%16-1.000000x-1.000000x1.659794x1.659794x1.66x4.348%4.35%7.216%7.22%17-1.000000x-1.000000x1.562771x1.562771x1.56x3.878%3.88%6.061%6.06%18-1.000000x-1.000000x1.557692x1.557692x1.56x8.466%8.47%13.187%13.2%19-1.000000x-1.000000x1.551616x1.551616x1.55x5.645%5.65%8.759%8.76%20-1.000000x-1.000000x1.410825x1.410825x1.41x4.340%4.34%6.122%6.12%21-1.000000x-1.000000x1.342318x1.342318x1.34x5.622%5.62%7.547%7.55%22-1.000000x-1.000000x1.290462x1.290462x1.29x10.730%10.7%13.846%13.8%23-1.000000x-1.000000x1.233512x1.233512x1.23x3.468%3.47%4.278%4.28%24-1.000000x-1.000000x1.207547x1.207547x1.21x4.167%4.17%5.031%5.03%25-1.000000x-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-1.000000x-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-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-1.000000x1.121684x1.121684x1.12x15.412%15.4%17.288%17.3%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106115x1.106115x1.11x3.252%3.25%3.597%3.60%26-1.000000x-1.000000x1.105232x1.105232x1.11x17.543%17.5%19.389%19.4%27-1.106195x-1.106195x1.11x1.000000x1.000000x8.850%8.85%8.000%8.00%28-1.139264x-1.139264x1.14x1.000000x1.000000x3.180%3.18%2.791%2.79%29-1.152672x-1.152672x1.15x1.000000x1.000000x6.870%6.87%5.960%5.96%30-1.178131x-1.178131x1.18x1.000000x1.000000x6.349%6.35%5.389%5.39%31-1.235821x-1.235821x1.24x1.000000x1.000000x8.955%8.96%7.246%7.25%32-1.264579x-1.264579x1.26x1.000000x1.000000x12.329%12.3%9.749%9.75%33-1.318494x-1.318494x1.32x1.000000x1.000000x8.085%8.09%6.132%6.13%34-1.820175x-1.820175x1.82x1.000000x1.000000x13.158%13.2%7.229%7.23%35-2.387097x-2.387097x2.39x1.000000x1.000000x12.903%12.9%5.405%5.41%36
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 36 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 Willmar Township, selected other county subdivisions in the Willmar Area, and entities that contain the Willmar Township
Female
Male
10x5x0x5x10xFM#AtwaterRaymondHarrisonPrinsburgRosevilleWhitefieldNorway LkEdwardsGrn LkWillmarNew LondonDovreNew LondonColfaxZIP 56201WillmarWillmar AreaKandiyohiSpicerMamreMidwestWest North CentralUnited StatesMinnesotaIrvingBurbankFahlunLk AndrewGennesseeKandiyohiKandiyohiPennockSt. JohnsArctanderLk LillianRegal-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.860%0.86%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.943%0.94%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.203%2.20%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.099%1.10%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.000%1.00%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.070%1.07%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.813%0.81%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.099%1.10%8-1.000000x-1.000000x9.061576x9.061576x9.06x0.707%0.71%6.404%6.40%9-1.000000x-1.000000x8.364103x8.364103x8.36x0.429%0.43%3.590%3.59%10-1.000000x-1.000000x7.116992x7.116992x7.12x0.391%0.39%2.786%2.79%11-1.000000x-1.000000x3.172619x3.172619x3.17x2.296%2.30%7.283%7.28%12-1.000000x-1.000000x2.869638x2.869638x2.87x1.321%1.32%3.790%3.79%13-1.000000x-1.000000x2.735683x2.735683x2.74x0.483%0.48%1.322%1.32%14-1.000000x-1.000000x2.700351x2.700351x2.70x1.734%1.73%4.682%4.68%-1.000000x-1.000000x2.626248x2.626248x2.63x1.722%1.72%4.522%4.52%15-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-1.000000x-1.000000x2.177885x2.177885x2.18x2.870%2.87%6.250%6.25%16-1.000000x-1.000000x1.769784x1.769784x1.77x1.626%1.63%2.878%2.88%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.316779x1.316779x1.32x2.493%2.49%3.283%3.28%18-1.000000x-1.000000x1.244845x1.244845x1.24x1.242%1.24%1.546%1.55%19-1.000000x-1.000000x1.132075x1.132075x1.13x1.667%1.67%1.887%1.89%20-1.033943x-1.033943x1.03x1.000000x1.000000x4.439%4.44%4.293%4.29%21-1.068027x-1.068027x1.07x1.000000x1.000000x1.361%1.36%1.274%1.27%22-1.596386x-1.596386x1.60x1.000000x1.000000x1.205%1.20%0.755%0.75%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.704%3.70%0.000%0%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.617%0.62%0.000%0%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.770%1.77%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.613%1.61%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.370%1.37%0.000%0%28-10.000000x-10.000000x> 10.0x1.000000x1.000000x11.111%11.1%0.000%0%29
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 29 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 Willmar Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Willmar 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 Willmar Township, selected other county subdivisions in Minnesota, and entities that contain the Willmar Township
0%5%10%15%Count#FaribaultAustinZIP Code 56201ZIP 56201Brooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesWillmar TownshipWillmarWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleDuluthRochesterBurnsvilleHastingsMankatoNew 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%2,682216.314562%16.314562%16.3%2,44816.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M12.149533%12.149533%12.1%5211.767175%11.767175%11.8%3,36411.767175%11.767175%11.8%3,36411.017383%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%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Willmar Township, selected other county subdivisions in Minnesota, and entities that contain the Willmar Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsZIP Code 56201ZIP 56201Willmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiWillmar TownshipWillmarAustinBrooklyn 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%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284625.993543%25.993543%26.0%11,19111.2k4722.732423%22.732423%22.7%3,41122.516440%22.516440%22.5%6,43722.516440%22.516440%22.5%6,43721.728972%21.728972%21.7%9321.410083%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 Willmar Township, selected other county subdivisions in Minnesota, and entities that contain the Willmar Township
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesZIP Code 56201ZIP 56201BloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldWillmar TownshipWillmarSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastings11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.152283%3.152283%3.2%4733.138055%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%605292.529033%2.529033%2.5%7232.529033%2.529033%2.5%7232.500485%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%476361.869159%1.869159%1.9%81.859032%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%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%17550
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 Willmar Township, selected other county subdivisions in Minnesota, and entities that contain the Willmar Township
Female
Male
1x0x1x2xFM#FarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeWillmarAustinHastingsFridleyCoon RapidsDuluthWillmar AreaKandiyohiBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenZIP 56201United StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.290462x1.290462x1.29x10.730%10.7%13.846%13.8%-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-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-1.000000x-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-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-1.000000x1.121684x1.121684x1.12x15.412%15.4%17.288%17.3%-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 Willmar Township, selected other county subdivisions in Minnesota, and entities that contain the Willmar Township
Female
Male
2x0x2x4x6x8xFM#WillmarWinonaWhite Bear LkZIP 56201RosemountAndoverWillmar AreaKandiyohiShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x8.364103x8.364103x8.36x0.429%0.43%3.590%3.59%-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-1.000000x2.700351x2.700351x2.70x1.734%1.73%4.682%4.68%-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-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-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-1.000000x1.465286x1.465286x1.47x3.496%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-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%37-1.000000x-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%38-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%39-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%40-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%41-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%42-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%43-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50
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 Willmar Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Willmar 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 Willmar Township, selected other county subdivisions in the Midwest, and entities that contain the Willmar Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoZIP Code 56201ZIP 56201Proviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleWillmar TownshipWillmarWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashingtonOlatheFargoCedar 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%309,770310k1016.314562%16.314562%16.3%2,44815.636222%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%9,3752612.149533%12.149533%12.1%5211.767175%11.767175%11.8%3,36411.767175%11.767175%11.8%3,36411.376979%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%270,121270k7.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%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 Willmar Township, selected other county subdivisions in the Midwest, and entities that contain the Willmar Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeZIP Code 56201ZIP 56201Willmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiWillmar TownshipWillmarRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3622.732423%22.732423%22.7%3,41122.516440%22.516440%22.5%6,43722.516440%22.516440%22.5%6,43721.728972%21.728972%21.7%9321.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Willmar Township, selected other county subdivisions in the Midwest, and entities that contain the Willmar Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsZIP Code 56201ZIP 56201Lawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandWillmar TownshipWillmarToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.458748%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%3,846243.152283%3.152283%3.2%4733.083448%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%2,382312.529033%2.529033%2.5%7232.529033%2.529033%2.5%7232.519246%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%4,911391.869159%1.869159%1.9%81.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Willmar Township, selected other county subdivisions in the Midwest, and entities that contain the Willmar Township
Female
Male
1x0x1xFM#WillmarCedar RapidsLincolnDetroitOmahaToledoThorntonWillmar AreaKandiyohiKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeZIP 56201Kaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.290462x1.290462x1.29x10.730%10.7%13.846%13.8%-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-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-1.000000x-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.121684x1.121684x1.12x15.412%15.4%17.288%17.3%-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 Willmar Township, selected other county subdivisions in the Midwest, and entities that contain the Willmar Township
Female
Male
0x2x4x6x8xFM#WillmarZIP 56201Willmar AreaKandiyohiRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x8.364103x8.364103x8.36x0.429%0.43%3.590%3.59%-1.000000x-1.000000x2.700351x2.700351x2.70x1.734%1.73%4.682%4.68%-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-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-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Willmar Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Willmar 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 Willmar Township, selected other county subdivisions in the United States, and entities that contain the Willmar 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 VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreZIP Code 56201ZIP 56201Oceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonWillmar TownshipWillmarAlbuquerqueWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaPlanoSeattle 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%69,83969.8k2316.314562%16.314562%16.3%2,44815.999398%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%70,40970.4k3712.149533%12.149533%12.1%5212.089143%12.089143%12.1%52,21752.2k3811.767175%11.767175%11.8%3,36411.767175%11.767175%11.8%3,36411.553484%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%270,121270k5.714681%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 Willmar Township, selected other county subdivisions in the United States, and entities that contain the Willmar Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeZIP Code 56201ZIP 56201Willmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiFresnoWillmar TownshipWillmarLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.732423%22.732423%22.7%3,41122.516440%22.516440%22.5%6,43722.516440%22.516440%22.5%6,43722.486319%22.486319%22.5%94,05694.1k4421.728972%21.728972%21.7%9321.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Willmar Township, selected other county subdivisions in the United States, and entities that contain the Willmar Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesZIP Code 56201ZIP 56201TulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeWillmar TownshipWillmarSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.458748%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%7,127,6737.13M3.152283%3.152283%3.2%4733.140490%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%9,827392.529033%2.529033%2.5%7232.529033%2.529033%2.5%7232.484535%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%7,455441.869159%1.869159%1.9%81.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Willmar Township, selected other county subdivisions in the United States, and entities that contain the Willmar Township
Female
Male
1x0x1xFM#Willmar1, CharlotteDetroitWillmar AreaKandiyohiBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeZIP 56201United 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-1.000000x1.290462x1.290462x1.29x10.730%10.7%13.846%13.8%-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-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-1.000000x-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%-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-1.000000x1.121684x1.121684x1.12x15.412%15.4%17.288%17.3%-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 Willmar Township, selected other county subdivisions in the United States, and entities that contain the Willmar Township
Female
Male
0x2x4x6x8xFM#WillmarZIP 56201Willmar AreaKandiyohiEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x8.364103x8.364103x8.36x0.429%0.43%3.590%3.59%-1.000000x-1.000000x2.700351x2.700351x2.70x1.734%1.73%4.682%4.68%-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%-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-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Minnesota
County:
Kandiyohi
Metro Area:
Willmar Area
ZIP Code:
56201
Unified School Districts:
M.A.C.C.R.A.Y., Willmar
Congressional District:
MN-7
State Senate District:
MN-17
State House District:
MN-17B
Neighboring Cities:
Willmar
Neighboring Townships:
Dovre, Edwards, Fahlun, Kandiyohi, Mamre, St. Johns, Whitefield
Nearby Townships:
Green Lake, Holland, Lone Tree, Roseland, Woods