Educational Attainment in Kandiyohi County, Minnesota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Minnesota and Kandiyohi County
Kandiyohi County
Minnesota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma236.557297%45.216942%36.557297%36.6%10,45110.5k51.675528%47.407004%51.675528%51.7%14,77314.8k11.767175%7.376055%11.767175%11.8%3,364
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 Minnesota at large.
Scope: population of Minnesota and Kandiyohi County
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-19.151328%-19.151328%-19.2%36.557%36.6%45.217%45.2%9.003996%9.003996%+9.0%51.676%51.7%47.407%47.4%59.532105%59.532105%+59.5%11.767%11.8%7.376%7.38%
% percentage with given level in Kandiyohi County
ref. percentage with given level in Minnesota
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 Minnesota and Kandiyohi County
Kandiyohi County
Minnesota
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.626137%1.366389%0.626137%0.6%1791.902896%2.092359%1.902896%1.9%5444.970617%8.000226%4.970617%5.0%1,42115.016790%22.781635%15.016790%15.0%4,29314.040856%10.976332%14.040856%14.0%4,01425.174899%21.730308%25.174899%25.2%7,19726.500630%25.676696%26.500630%26.5%7,5766.534210%4.319913%6.534210%6.5%1,8684.106618%1.957001%4.106618%4.1%1,1741.126347%1.099141%1.126347%1.1%322
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 Minnesota at large.
Scope: population of Minnesota and Kandiyohi County
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-54.175803%-54.175803%-54.2%0.626%0.63%1.366%1.37%-9.054991%-9.054991%-9.1%1.903%1.90%2.092%2.09%-37.869043%-37.869043%-37.9%4.971%4.97%8.000%8.00%-34.083790%-34.083790%-34.1%15.017%15.0%22.782%22.8%27.919380%27.919380%+27.9%14.041%14.0%10.976%11.0%15.851549%15.851549%+15.9%25.175%25.2%21.730%21.7%3.208879%3.208879%+3.2%26.501%26.5%25.677%25.7%51.257914%51.257914%+51.3%6.534%6.53%4.320%4.32%109.842412%109.842412%+109.8%4.107%4.11%1.957%1.96%2.475221%2.475221%+2.5%1.126%1.13%1.099%1.10%
% percentage with given level in Kandiyohi County
ref. percentage with given level in Minnesota
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 Minnesota and Kandiyohi County
More Females More Males
Minnesota
Kandiyohi County
0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-7.773503%-7.094129%-7.773503%8%37.903%37.9%35.169%35.2%1.232110%4.644972%1.232110%1%51.364%51.4%51.997%52.0%19.575285%13.638813%19.575285%20%10.733%10.7%12.834%12.8%
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 Minnesota and Kandiyohi County
More Females More Males
Minnesota
Kandiyohi County
0%50%100%150%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None85.357003%46.084775%85.357003%85%0.441%0.44%0.817%0.82%168.476784%49.436197%168.476784%168%1.040%1.04%2.793%2.79%-24.172010%-22.131208%-24.172010%24%5.497%5.50%4.427%4.43%-12.821308%-6.225334%-12.821308%13%15.907%15.9%14.099%14.1%-15.230124%-14.436796%-15.230124%15%15.018%15.0%13.033%13.0%-8.987437%-1.393757%-8.987437%9%26.240%26.2%24.076%24.1%11.131557%10.026271%11.131557%11%25.124%25.1%27.921%27.9%59.370571%29.029778%59.370571%59%5.056%5.06%8.059%8.06%-35.797126%-35.797126%36%5.463227%4.719%4.72%3.475%3.47%-26.769029%35.808647%35.808647%36%0.958%0.96%1.300%1.30%
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 Minnesota and Kandiyohi County
Kandiyohi County
Minnesota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3413.150348%15.674649%13.150348%13.2%9637,32314.915254%21.754200%14.915254%14.9%1,71611,50511.5k16.795580%26.172525%16.795580%16.8%7604,52516.313276%29.184434%16.313276%16.3%8545,235
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 Minnesota at large.
Scope: population of Minnesota and Kandiyohi County
40%30%20%10%0%%ref.65+45-6435-4425-34-16.104354%-16.104354%16.1%13.150%13.2%15.675%15.7%-31.437357%-31.437357%31.4%14.915%14.9%21.754%21.8%-35.827436%-35.827436%35.8%16.796%16.8%26.173%26.2%-44.102819%-44.102819%44.1%16.313%16.3%29.184%29.2%
% percentage in Kandiyohi County with a Bachelor's degree
ref percentage in Minnesota 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 Minnesota and Kandiyohi County
More Females More Males
Minnesota
Kandiyohi County
20%10%0%10%20%FM65+45-6435-4425-344.538702%20.814223%4.538702%4.5%12.889%12.9%13.474%13.5%-12.002434%-6.871300%-12.002434%12.0%15.754%15.8%14.066%14.1%-29.429498%-16.463598%-29.429498%29.4%18.955%19.0%14.645%14.6%-27.852698%-19.935695%-27.852698%27.9%18.479%18.5%14.453%14.5%
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 Minnesota and Kandiyohi County
Kandiyohi County
Minnesota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$60,392.000000$68,001.000000$60,392.000000$60.4k2,1447.500%7.50%$41,609.000000$52,072.000000$41,609.000000$41.6k4,29315.017%15.0%$31,626.000000$36,939.000000$31,626.000000$31.6k11,21111.2k39.216%39.2%$27,942.000000$31,011.000000$27,942.000000$27.9k7,57626.501%26.5%$23,946.000000$22,379.000000$23,946.000000$23.9k3,36411.767%11.8%$32,499.000000$40,804.000000$32,499.000000$32.5k28,58828.6k100.000%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 Minnesota and Kandiyohi County
Female Male
Minnesota
Kandiyohi County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-54,695.000000$-60,699.000000$-54,695.000000$54.7k$54,695.000000$10,305.000000$60,699.000000$20,223.000000$65,000.000000$65.0k1,0131,131$-33,986.000000$-43,209.000000$-33,986.000000$34.0k$33,986.000000$18,150.000000$43,209.000000$20,301.000000$52,136.000000$52.1k2,3091,984$-25,728.000000$-30,960.000000$-25,728.000000$25.7k$25,728.000000$16,349.000000$30,960.000000$13,760.000000$42,077.000000$42.1k5,9895,222$-19,583.000000$-24,260.000000$-19,583.000000$19.6k$19,583.000000$14,705.000000$24,260.000000$12,346.000000$34,288.000000$34.3k3,6473,929$-14,729.000000$-17,131.000000$-14,729.000000$14.7k$14,729.000000$13,932.000000$17,131.000000$9,376.000000$28,661.000000$28.7k1,5581,806$-26,422.000000$-34,315.000000$-26,422.000000$26.4k$26,422.000000$14,640.000000$34,315.000000$12,949.000000$41,062.000000$41.1k14,51614.5k14,07214.1k
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Minnesota and Kandiyohi County
Kandiyohi County
Minnesota
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%35.183299%0100.000000%56.313646%100.000000%100.0%30.000000%0.000000%0.0%8.503055%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Minnesota and Kandiyohi County
Kandiyohi County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.580353%87.405591%86.580353%86.6%4,21383.960310%81.736852%83.960310%84.0%7,70079.313181%74.314958%79.313181%79.3%3,85759.450317%58.425001%59.450317%59.5%1,406
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Minnesota and Kandiyohi County
Female Male
Minnesota
Kandiyohi County
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-5.779992%-4.270697%-5.779992%5.8%5.779992%1.901085%4.270697%1.199676%7.681077%7.7%947754-40.000000%-32.401434%-15.996843%-5.794594%-72.401434%72.4%40.000000%15.996843%40.000000%40.0%148202-43.181818%-17.242336%-6.032412%-43.181818%43.2%43.181818%18.068182%17.242336%61.250000%61.3%4938-54.606526%-32.943822%-54.606526%54.6%54.606526%1.883270%32.943822%5.005995%56.489796%56.5%692569-55.491329%-5.378236%-21.417113%-60.869565%60.9%55.491329%21.417113%5.201726%55.491329%55.5%384336
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Minnesota and Kandiyohi County
Female Male
Minnesota
Kandiyohi County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-24.673534%-0.217229%-34.661162%-1.797325%-24.890763%24.9%24.673534%34.661162%24.673534%24.7%3,0423,247-0.000000%-18.524426%0.000000%0.0%0.000000%0.000000%18.524426%2.990804%0.000000%0.0%00-0.000000%-11.363636%-41.369118%-11.363636%11.4%0.000000%41.369118%3.173947%0.000000%0.0%010-4.222649%-15.584176%-2.395113%-4.222649%4.2%4.222649%0.430412%15.584176%4.653061%4.7%5744-3.804348%-17.924863%-3.708263%-3.804348%3.8%3.804348%0.964438%17.924863%4.768786%4.8%3321
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Kandiyohi County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
18%26%33%41%48%56%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
40%48%55%62%69%76%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
2.4%6.1%9.7%13.3%17.0%20.6%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.0%2.9%3.9%4.9%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.7%2.5%3.4%4.3%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.9%3.8%5.7%7.6%9.5%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
4.7%9.1%13.4%17.7%22.0%26.3%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
9.8%14.4%18.9%23.4%27.8%32.4%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
10%16%21%27%32%38%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
16%25%33%40%48%57%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.9%5.9%8.8%11.8%14.8%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.6%3.1%4.7%6.3%7.9%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.46%0.92%1.38%1.84%2.30%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Kandiyohi County

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
20%26%32%38%44%51%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
43.9%47.8%51.5%55.3%59.1%63.0%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
4.6%8.7%12.8%16.9%21.0%25.1%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.31%0.61%0.92%1.23%1.54%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%1.0%1.6%2.3%2.9%3.6%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
1.7%2.9%4.1%5.2%6.4%7.6%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
6.8%9.9%13.0%16.1%19.1%22.2%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
7.4%9.7%12.0%14.2%16.5%18.8%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
19.8%22.8%25.7%28.7%31.6%34.7%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
19.7%23.0%26.2%29.4%32.6%35.9%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%5.2%7.6%10.0%12.4%14.8%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
1.2%2.7%4.2%5.7%7.2%8.8%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%1.4%2.7%3.9%5.2%6.5%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Kandiyohi County

There are 12 places in Kandiyohi County. This section compares all 12 of those to each other, Kandiyohi County, and other entities that contain or substantially overlap with Kandiyohi County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kandiyohi County, selected places in Kandiyohi County, and entities that contain Kandiyohi County
0%5%10%15%Count#WillmarUnited States of AmericaUnited StatesWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiPennockNew LondonPrinsburgMidwestLake LillianAtwaterWest North CentralSunburgMinnesotaRaymondBlomkestKandiyohiSpicerRegal18.423170%18.423170%18.4%2,290113.020590%13.020590%13.0%27,818,38027.8M11.767175%11.767175%11.8%3,36411.767175%11.767175%11.8%3,36411.333333%11.333333%11.3%34211.264368%11.264368%11.3%98310.781671%10.781671%10.8%40410.244520%10.244520%10.2%4,641,8354.64M10.062893%10.062893%10.1%1659.745763%9.745763%9.7%6969.174633%9.174633%9.2%1,278,0511.28M8.823529%8.823529%8.8%677.376055%7.376055%7.4%270,121270k7.158837%7.158837%7.2%3287.142857%7.142857%7.1%695.898876%5.898876%5.9%21104.550499%4.550499%4.6%41112.439024%2.439024%2.4%112
Count number of people in category
# rank of place out of 12 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kandiyohi County, selected places in Kandiyohi County, and entities that contain Kandiyohi County
0%10%20%30%Count#MinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestSpicerPrinsburgNew LondonWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiWillmarRaymondKandiyohiAtwaterRegalPennockLake LillianSunburgBlomkest34.240609%34.240609%34.2%1,253,9371.25M30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M26.304107%26.304107%26.3%237125.876011%25.876011%25.9%96224.942529%24.942529%24.9%217322.516440%22.516440%22.5%6,43722.516440%22.516440%22.5%6,43720.691874%20.691874%20.7%2,572418.568233%18.568233%18.6%83513.202247%13.202247%13.2%47612.994350%12.994350%13.0%9279.756098%9.756098%9.8%489.666667%9.666667%9.7%2999.433962%9.433962%9.4%15108.823529%8.823529%8.8%6115.952381%5.952381%6.0%512
Count number of people in category
# rank of place out of 12 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kandiyohi County, selected places in Kandiyohi County, and entities that contain Kandiyohi County
0%1%2%3%4%Count#RegalSpicerMinnesotaUnited States of AmericaUnited StatesWillmarWest North CentralMidwestWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiKandiyohiNew LondonPrinsburgRaymondAtwaterPennockLake LillianBlomkestSunburg4.878049%4.878049%4.9%214.550499%4.550499%4.6%4123.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.057120%3.057120%3.1%38032.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.529033%2.529033%2.5%7232.529033%2.529033%2.5%7231.966292%1.966292%2.0%741.379310%1.379310%1.4%1250.539084%0.539084%0.5%260.447427%0.447427%0.4%270.423729%0.423729%0.4%380.333333%0.333333%0.3%190.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%012
Count number of people in category
# rank of place out of 12 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 Place#45

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 Kandiyohi County, selected places in Kandiyohi County, and entities that contain Kandiyohi County
Female
Male
0x5x10xFM#RegalBlomkestSpicerAtwaterPennockPrinsburgWillmar AreaKandiyohiWest North CentralMinnesotaMidwestUnited StatesWillmarKandiyohiNew LondonRaymondLake LillianSunburg-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.348%4.35%1-1.000000x-1.000000x3.936170x3.936170x3.94x2.703%2.70%10.638%10.6%2-1.000000x-1.000000x2.443638x2.443638x2.44x2.649%2.65%6.473%6.47%3-1.000000x-1.000000x2.057307x2.057307x2.06x6.407%6.41%13.181%13.2%4-1.000000x-1.000000x1.896321x1.896321x1.90x8.025%8.02%15.217%15.2%5-1.000000x-1.000000x1.557692x1.557692x1.56x8.466%8.47%13.187%13.2%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-1.000000x1.137506x1.137506x1.14x8.598%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-1.000000x1.105232x1.105232x1.11x17.543%17.5%19.389%19.4%7-1.178131x-1.178131x1.18x1.000000x1.000000x6.349%6.35%5.389%5.39%8-1.264579x-1.264579x1.26x1.000000x1.000000x12.329%12.3%9.749%9.75%9-1.318494x-1.318494x1.32x1.000000x1.000000x8.085%8.09%6.132%6.13%10-1.820175x-1.820175x1.82x1.000000x1.000000x13.158%13.2%7.229%7.23%11-2.387097x-2.387097x2.39x1.000000x1.000000x12.903%12.9%5.405%5.41%12
F percentage of females in category
M percentage of males in category
# rank of place out of 12 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

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 Kandiyohi County, selected places in Kandiyohi County, and entities that contain Kandiyohi County
Female
Male
10x5x0x5x10xFM#AtwaterRaymondPrinsburgNew LondonWillmarWillmar AreaKandiyohiSpicerMidwestWest North CentralUnited StatesMinnesotaKandiyohiPennockRegal-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%1.099%1.10%3-1.000000x-1.000000x7.116992x7.116992x7.12x0.391%0.39%2.786%2.79%4-1.000000x-1.000000x2.626248x2.626248x2.63x1.722%1.72%4.522%4.52%5-1.000000x-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%6-1.000000x-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%-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.704%3.70%0.000%0%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.617%0.62%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x11.111%11.1%0.000%0%9
F percentage of females in category
M percentage of males in category
# rank of place out of 9 by male-to-female sex ratio

Educational Attainment by County Subdivision in Kandiyohi County

There are 36 county subdivisions in Kandiyohi County. This section compares all 36 of those to each other, Kandiyohi County, and other entities that contain or substantially overlap with Kandiyohi County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kandiyohi County, selected county subdivisions in Kandiyohi County, and entities that contain Kandiyohi County
0%5%10%15%20%Count#Lake Lillian TownshipLk LillianWillmarRoseville 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%2,290213.212435%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#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kandiyohi County, selected county subdivisions in Kandiyohi County, and entities that contain Kandiyohi County
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 TownshipHarrisonWillmar 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%111922.516440%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#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kandiyohi County, selected county subdivisions in Kandiyohi County, and entities that contain Kandiyohi County
0%1%2%3%4%Count#RegalDovre TownshipDovreSpicerLake Andrew TownshipLk AndrewGreen Lake TownshipGrn LkMinnesotaUnited States of AmericaUnited StatesWillmarWest 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%7,127,6737.13M3.057120%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#50

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 Kandiyohi County, selected county subdivisions in Kandiyohi County, and entities that contain Kandiyohi County
Female
Male
0x5x10xFM#E Lk LillianRegalGennesseeEdwardsNorway LkBlomkestRosevilleLk AndrewDovreHarrisonSpicerLk LillianAtwaterColfaxPennockHollandBurbankIrvingPrinsburgArctanderNew LondonKandiyohiWillmarWhitefieldFahlunWillmar AreaKandiyohiWest North CentralMinnesotaMidwestUnited 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-1.000000x1.109070x1.109070x1.11x12.369%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#51

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 Kandiyohi County, selected county subdivisions in Kandiyohi County, and entities that contain Kandiyohi County
Female
Male
10x5x0x5x10xFM#AtwaterRaymondHarrisonPrinsburgRosevilleWhitefieldNorway LkEdwardsGrn LkWillmarNew LondonDovreNew LondonColfaxWillmarWillmar 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-1.000000x2.626248x2.626248x2.63x1.722%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 in Minnesota

There are 87 counties in Minnesota. This section compares Kandiyohi County to the 50 most populous counties in Minnesota and to those entities that contain or substantially overlap with Kandiyohi County. The least populous of the compared counties has a population of 19,034.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kandiyohi County, selected other counties in Minnesota, and entities that contain Kandiyohi County
0%5%10%15%20%Count#Nobles CountyNoblesMower CountyMowerUnited States of AmericaUnited StatesTodd CountyToddWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiFreeborn CountyFreebornPine CountyPineMorrison CountyMorrisonMidwestMille Lacs CountyMille LacsRice CountyRiceMartin CountyMartinBeltrami CountyBeltramiRamsey CountyRamseyLe Sueur CountyLe SueurFillmore CountyFillmoreWest North CentralPolk CountyPolkMcLeod CountyMcLeodBrown CountyBrownIsanti CountyIsantiCass CountyCassOtter Tail CountyOtter TailMeeker CountyMeekerWaseca CountyWasecaHubbard CountyHubbardStearns CountyStearnsBenton CountyBentonSteele CountySteeleLyon CountyLyonBecker CountyBeckerWinona CountyWinonaMinnesotaHennepin CountyHennepinWabasha CountyWabashaGoodhue CountyGoodhueItasca CountyItascaAnoka CountyAnokaCrow Wing CountyCrow WingSt. Louis CountySt. LouisNicollet CountyNicolletChisago CountyChisagoBlue Earth CountyBlue EarthCarlton CountyCarltonWright CountyWrightDodge CountyDodgeOlmsted CountyOlmstedClay CountyClaySherburne CountySherburneDakota CountyDakotaDouglas CountyDouglasScott CountyScottCarver CountyCarverWashington CountyWashington22.731505%22.731505%22.7%3,174113.044972%13.044972%13.0%3,417213.020590%13.020590%13.0%27,818,38027.8M12.206884%12.206884%12.2%2,025311.767175%11.767175%11.8%3,36411.767175%11.767175%11.8%3,364411.054220%11.054220%11.1%2,418510.945959%10.945959%10.9%2,305610.644208%10.644208%10.6%2,414710.244520%10.244520%10.2%4,641,8354.64M10.124655%10.124655%10.1%1,79589.946485%9.946485%9.9%4,08999.891183%9.891183%9.9%1,418109.774955%9.774955%9.8%2,693119.707847%9.707847%9.7%33,97334.0k129.236394%9.236394%9.2%1,743139.222022%9.222022%9.2%1,330149.174633%9.174633%9.2%1,278,0511.28M8.927976%8.927976%8.9%1,873158.891768%8.891768%8.9%2,196168.865861%8.865861%8.9%1,540178.835464%8.835464%8.8%2,308188.654264%8.654264%8.7%1,791198.273548%8.273548%8.3%3,402208.048889%8.048889%8.0%1,271218.045278%8.045278%8.0%1,059227.967382%7.967382%8.0%1,192237.919702%7.919702%7.9%7,480247.742738%7.742738%7.7%2,055257.613152%7.613152%7.6%1,857267.605788%7.605788%7.6%1,251277.576089%7.576089%7.6%1,730287.495972%7.495972%7.5%2,326297.376055%7.376055%7.4%270,121270k7.173605%7.173605%7.2%59,66059.7k306.811536%6.811536%6.8%1,025316.738113%6.738113%6.7%2,188326.702965%6.702965%6.7%2,179336.524509%6.524509%6.5%15,00215.0k346.519258%6.519258%6.5%2,913356.493917%6.493917%6.5%8,834366.438108%6.438108%6.4%1,384376.245958%6.245958%6.2%2,318385.782358%5.782358%5.8%2,194395.780300%5.780300%5.8%1,426405.768514%5.768514%5.8%4,799415.739196%5.739196%5.7%757425.720978%5.720978%5.7%5,789435.586350%5.586350%5.6%2,066445.536456%5.536456%5.5%3,237455.344224%5.344224%5.3%14,71514.7k465.162101%5.162101%5.2%1,355475.103301%5.103301%5.1%4,545484.267072%4.267072%4.3%2,665494.033635%4.033635%4.0%6,71150
Count number of people in category
# rank of county 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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kandiyohi County, selected other counties in Minnesota, and entities that contain Kandiyohi County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonOlmsted CountyOlmstedRamsey CountyRamseyDakota CountyDakotaScott CountyScottMinnesotaClay CountyClayNicollet CountyNicolletBlue Earth CountyBlue EarthUnited States of AmericaUnited StatesWest North CentralWinona CountyWinonaMidwestAnoka CountyAnokaSt. Louis CountySt. LouisRice CountyRiceBeltrami CountyBeltramiLyon CountyLyonWright CountyWrightSherburne CountySherburneStearns CountyStearnsHubbard CountyHubbardDouglas CountyDouglasSteele CountySteeleGoodhue CountyGoodhueCrow Wing CountyCrow WingOtter Tail CountyOtter TailPolk CountyPolkDodge CountyDodgeBecker CountyBeckerWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiItasca CountyItascaBenton CountyBentonChisago CountyChisagoCarlton CountyCarltonLe Sueur CountyLe SueurWabasha CountyWabashaBrown CountyBrownCass CountyCassFillmore CountyFillmoreMower CountyMowerWaseca CountyWasecaMeeker CountyMeekerMartin CountyMartinIsanti CountyIsantiMcLeod CountyMcLeodFreeborn CountyFreebornMorrison CountyMorrisonMille Lacs CountyMille LacsTodd CountyToddPine CountyPineNobles CountyNobles47.581343%47.581343%47.6%395,715396k146.042751%46.042751%46.0%28,75628.8k242.301173%42.301173%42.3%70,37970.4k341.992707%41.992707%42.0%42,49242.5k441.002246%41.002246%41.0%143,489143k540.723604%40.723604%40.7%112,130112k638.846845%38.846845%38.8%34,59734.6k734.240609%34.240609%34.2%1,253,9371.25M33.009761%33.009761%33.0%12,20812.2k832.260315%32.260315%32.3%6,935931.663284%31.663284%31.7%12,01412.0k1030.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.278118%29.278118%29.3%9,0851128.952816%28.952816%29.0%13,118,64213.1M28.225614%28.225614%28.2%64,90064.9k1227.750211%27.750211%27.8%37,75037.8k1327.231817%27.231817%27.2%11,19511.2k1426.798548%26.798548%26.8%7,3831526.775292%26.775292%26.8%4,4041626.760665%26.760665%26.8%22,26322.3k1726.715925%26.715925%26.7%15,62015.6k1825.948670%25.948670%25.9%24,50824.5k1925.392688%25.392688%25.4%3,7992025.056193%25.056193%25.1%6,5772124.786815%24.786815%24.8%6,0462224.347130%24.347130%24.3%7,9062324.190408%24.190408%24.2%10,80910.8k2424.057005%24.057005%24.1%9,8922523.871491%23.871491%23.9%5,0082623.836240%23.836240%23.8%3,1442723.726735%23.726735%23.7%5,4182822.516440%22.516440%22.5%6,43722.516440%22.516440%22.5%6,4372922.256060%22.256060%22.3%7,2353022.207151%22.207151%22.2%5,8943122.030610%22.030610%22.0%8,1763221.986218%21.986218%22.0%5,4243321.366117%21.366117%21.4%4,0323421.238703%21.238703%21.2%3,1963520.892343%20.892343%20.9%3,6293620.869775%20.869775%20.9%4,3193720.399390%20.399390%20.4%2,9423820.004581%20.004581%20.0%5,2403919.858695%19.858695%19.9%2,6144018.896840%18.896840%18.9%2,9844118.470982%18.470982%18.5%2,6484217.690070%17.690070%17.7%4,6214317.313844%17.313844%17.3%4,2764416.755052%16.755052%16.8%3,6654516.151506%16.151506%16.2%3,6634615.618478%15.618478%15.6%2,7694715.353548%15.353548%15.4%2,5474813.780986%13.780986%13.8%2,9024913.507126%13.507126%13.5%1,88650
Count number of people in category
# rank of county 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#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kandiyohi County, selected other counties in Minnesota, and entities that contain Kandiyohi County
0%2%4%6%Count#Olmsted CountyOlmstedRamsey CountyRamseyHennepin CountyHennepinWashington CountyWashingtonNicollet CountyNicolletMinnesotaBeltrami CountyBeltramiRice CountyRiceUnited States of AmericaUnited StatesBlue Earth CountyBlue EarthDakota CountyDakotaWinona CountyWinonaWest North CentralMidwestCarver CountyCarverSt. Louis CountySt. LouisStearns CountyStearnsWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiLyon CountyLyonBecker CountyBeckerCrow Wing CountyCrow WingHubbard CountyHubbardClay CountyClayDouglas CountyDouglasMower CountyMowerOtter Tail CountyOtter TailBrown CountyBrownScott CountyScottGoodhue CountyGoodhueWright CountyWrightItasca CountyItascaPolk CountyPolkWabasha CountyWabashaAnoka CountyAnokaBenton CountyBentonChisago CountyChisagoSherburne CountySherburneLe Sueur CountyLe SueurCass CountyCassSteele CountySteeleMeeker CountyMeekerFillmore CountyFillmoreFreeborn CountyFreebornDodge CountyDodgeMcLeod CountyMcLeodNobles CountyNoblesMartin CountyMartinMorrison CountyMorrisonCarlton CountyCarltonWaseca CountyWasecaIsanti CountyIsantiMille Lacs CountyMille LacsTodd CountyToddPine CountyPine7.785431%7.785431%7.8%7,87815.718752%5.718752%5.7%20,01320.0k25.193709%5.193709%5.2%43,19443.2k34.495240%4.495240%4.5%7,47944.033121%4.033121%4.0%86753.458748%3.458748%3.5%126,664127k3.419238%3.419238%3.4%94263.371442%3.371442%3.4%1,38673.336158%3.336158%3.3%7,127,6737.13M3.326042%3.326042%3.3%1,26283.172758%3.172758%3.2%8,73693.074444%3.074444%3.1%954102.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.826035%2.826035%2.8%1,765112.813982%2.813982%2.8%3,828122.795189%2.795189%2.8%2,640132.529033%2.529033%2.5%7232.529033%2.529033%2.5%723142.504864%2.504864%2.5%412152.465513%2.465513%2.5%563162.394647%2.394647%2.4%1,070172.359468%2.359468%2.4%353182.198307%2.198307%2.2%813192.179131%2.179131%2.2%572202.176071%2.176071%2.2%570212.164450%2.164450%2.2%890222.158895%2.158895%2.2%375232.107568%2.107568%2.1%1,877241.970929%1.970929%2.0%640251.852319%1.852319%1.9%1,541261.818014%1.818014%1.8%591271.811335%1.811335%1.8%380281.774322%1.774322%1.8%267291.760513%1.760513%1.8%4,048301.703026%1.703026%1.7%452311.681397%1.681397%1.7%624321.655635%1.655635%1.7%968331.626835%1.626835%1.6%307341.589756%1.589756%1.6%329351.484093%1.484093%1.5%362361.424862%1.424862%1.4%225371.393704%1.393704%1.4%201381.371491%1.371491%1.4%300391.349507%1.349507%1.3%178401.319998%1.319998%1.3%326411.310607%1.310607%1.3%183421.283482%1.283482%1.3%184431.230213%1.230213%1.2%279441.171463%1.171463%1.2%289451.086378%1.086378%1.1%143461.002986%1.002986%1.0%262470.975802%0.975802%1.0%173480.916270%0.916270%0.9%152490.797797%0.797797%0.8%16850
Count number of people in category
# rank of county 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#55

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 Kandiyohi County, selected other counties in Minnesota, and entities that contain Kandiyohi County
Female
Male
1x0x1xFM#SherburneChisagoClayGoodhueBeckerBeltramiToddItascaSteeleWasecaHubbardWabashaMille LacsMowerPineMeekerNicolletWrightIsantiDouglasFreebornMartinNoblesCarltonCarverCassFillmoreRiceMcLeodWinonaMorrisonCrow WingAnokaWillmar AreaKandiyohiDodgeLe SueurOtter TailWest North CentralMinnesotaMidwestScottBlue EarthUnited StatesStearnsSt. LouisWashingtonBentonOlmstedPolkRamseyDakotaHennepinLyonBrown-1.000000x-1.000000x1.854741x1.854741x1.85x3.863%3.86%7.165%7.17%1-1.000000x-1.000000x1.772080x1.772080x1.77x4.473%4.47%7.927%7.93%2-1.000000x-1.000000x1.572235x1.572235x1.57x4.356%4.36%6.849%6.85%3-1.000000x-1.000000x1.556218x1.556218x1.56x5.302%5.30%8.251%8.25%4-1.000000x-1.000000x1.516852x1.516852x1.52x6.023%6.02%9.136%9.14%5-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%6-1.000000x-1.000000x1.488318x1.488318x1.49x9.782%9.78%14.559%14.6%7-1.000000x-1.000000x1.485888x1.485888x1.49x5.397%5.40%8.020%8.02%8-1.000000x-1.000000x1.468955x1.468955x1.47x6.194%6.19%9.099%9.10%9-1.000000x-1.000000x1.429519x1.429519x1.43x6.696%6.70%9.572%9.57%10-1.000000x-1.000000x1.404540x1.404540x1.40x6.627%6.63%9.309%9.31%11-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%12-1.000000x-1.000000x1.369736x1.369736x1.37x8.563%8.56%11.728%11.7%13-1.000000x-1.000000x1.335628x1.335628x1.34x11.205%11.2%14.966%15.0%14-1.000000x-1.000000x1.332015x1.332015x1.33x9.296%9.30%12.382%12.4%15-1.000000x-1.000000x1.329371x1.329371x1.33x6.907%6.91%9.181%9.18%16-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%17-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%18-1.000000x-1.000000x1.308424x1.308424x1.31x7.652%7.65%10.011%10.0%19-1.000000x-1.000000x1.303635x1.303635x1.30x4.496%4.50%5.861%5.86%20-1.000000x-1.000000x1.288121x1.288121x1.29x9.679%9.68%12.468%12.5%21-1.000000x-1.000000x1.277833x1.277833x1.28x8.705%8.71%11.124%11.1%22-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%23-1.000000x-1.000000x1.269162x1.269162x1.27x5.075%5.08%6.441%6.44%24-1.000000x-1.000000x1.261501x1.261501x1.26x3.783%3.78%4.772%4.77%25-1.000000x-1.000000x1.246667x1.246667x1.25x7.695%7.70%9.593%9.59%26-1.000000x-1.000000x1.218895x1.218895x1.22x8.324%8.32%10.146%10.1%27-1.000000x-1.000000x1.216255x1.216255x1.22x8.956%8.96%10.893%10.9%28-1.000000x-1.000000x1.212928x1.212928x1.21x8.054%8.05%9.769%9.77%29-1.000000x-1.000000x1.208433x1.208433x1.21x6.792%6.79%8.208%8.21%30-1.000000x-1.000000x1.202863x1.202863x1.20x9.663%9.66%11.623%11.6%31-1.000000x-1.000000x1.200288x1.200288x1.20x5.934%5.93%7.123%7.12%32-1.000000x-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%33-1.000000x-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%34-1.000000x-1.000000x1.195088x1.195088x1.20x5.231%5.23%6.251%6.25%35-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%36-1.000000x-1.000000x1.180118x1.180118x1.18x7.597%7.60%8.966%8.97%37-1.000000x-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-1.000000x1.117122x1.117122x1.12x4.825%4.83%5.390%5.39%38-1.000000x-1.000000x1.109674x1.109674x1.11x5.482%5.48%6.083%6.08%39-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099862x1.099862x1.10x7.542%7.54%8.295%8.30%40-1.000000x-1.000000x1.089583x1.089583x1.09x6.217%6.22%6.774%6.77%41-1.000000x-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%42-1.000000x-1.000000x1.064444x1.064444x1.06x7.501%7.50%7.984%7.98%43-1.000000x-1.000000x1.055151x1.055151x1.06x5.573%5.57%5.880%5.88%44-1.000000x-1.000000x1.022657x1.022657x1.02x8.829%8.83%9.029%9.03%45-1.000000x-1.000000x1.006778x1.006778x1.01x9.677%9.68%9.742%9.74%46-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%47-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%48-1.046342x-1.046342x1.05x1.000000x1.000000x7.775%7.78%7.431%7.43%49-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

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 Kandiyohi County, selected other counties in Minnesota, and entities that contain Kandiyohi County
Female
Male
1x0x1x2x3xFM#MartinOtter TailMeekerWillmar AreaKandiyohiCassBrownWasecaWinonaPolkDouglasFillmoreBeckerOlmstedWabashaNoblesSteeleWashingtonClayFreebornBlue EarthMowerMidwestHubbardWest North CentralWrightGoodhueMille LacsUnited StatesAnokaRamseyPineSt. LouisCrow WingMinnesotaBentonHennepinStearnsItascaScottDakotaLyonCarverIsantiToddNicolletChisagoBeltramiRiceSherburneMcLeodLe SueurDodgeMorrisonCarlton-1.000000x-1.000000x3.306737x3.306737x3.31x0.602%0.60%1.991%1.99%1-1.000000x-1.000000x2.679076x2.679076x2.68x1.183%1.18%3.169%3.17%2-1.000000x-1.000000x2.440738x2.440738x2.44x0.827%0.83%2.018%2.02%3-1.000000x-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%4-1.000000x-1.000000x2.412505x2.412505x2.41x0.928%0.93%2.238%2.24%5-1.000000x-1.000000x2.394887x2.394887x2.39x1.287%1.29%3.082%3.08%6-1.000000x-1.000000x2.312181x2.312181x2.31x0.672%0.67%1.555%1.55%7-1.000000x-1.000000x2.216484x2.216484x2.22x1.916%1.92%4.247%4.25%8-1.000000x-1.000000x2.203958x2.203958x2.20x1.134%1.13%2.500%2.50%9-1.000000x-1.000000x2.124662x2.124662x2.12x1.407%1.41%2.989%2.99%10-1.000000x-1.000000x2.105903x2.105903x2.11x0.902%0.90%1.900%1.90%11-1.000000x-1.000000x1.822168x1.822168x1.82x1.748%1.75%3.186%3.19%12-1.000000x-1.000000x1.681240x1.681240x1.68x5.861%5.86%9.854%9.85%13-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%14-1.000000x-1.000000x1.662747x1.662747x1.66x0.977%0.98%1.624%1.62%15-1.000000x-1.000000x1.661053x1.661053x1.66x1.122%1.12%1.864%1.86%16-1.000000x-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%17-1.000000x-1.000000x1.639544x1.639544x1.64x1.671%1.67%2.740%2.74%18-1.000000x-1.000000x1.630023x1.630023x1.63x1.046%1.05%1.706%1.71%19-1.000000x-1.000000x1.629253x1.629253x1.63x2.530%2.53%4.122%4.12%20-1.000000x-1.000000x1.612378x1.612378x1.61x1.674%1.67%2.700%2.70%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.578118x1.578118x1.58x1.831%1.83%2.889%2.89%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%23-1.000000x-1.000000x1.569228x1.569228x1.57x1.543%1.54%2.421%2.42%24-1.000000x-1.000000x1.547391x1.547391x1.55x0.768%0.77%1.189%1.19%25-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523149x1.523149x1.52x1.399%1.40%2.131%2.13%26-1.000000x-1.000000x1.500145x1.500145x1.50x4.618%4.62%6.928%6.93%27-1.000000x-1.000000x1.488261x1.488261x1.49x0.633%0.63%0.942%0.94%28-1.000000x-1.000000x1.487208x1.487208x1.49x2.265%2.26%3.368%3.37%29-1.000000x-1.000000x1.483973x1.483973x1.48x1.934%1.93%2.870%2.87%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.468727x1.468727x1.47x1.380%1.38%2.026%2.03%31-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%32-1.000000x-1.000000x1.391736x1.391736x1.39x2.337%2.34%3.252%3.25%33-1.000000x-1.000000x1.385205x1.385205x1.39x1.525%1.53%2.113%2.11%34-1.000000x-1.000000x1.366530x1.366530x1.37x1.785%1.79%2.440%2.44%35-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%36-1.000000x-1.000000x1.345451x1.345451x1.35x2.141%2.14%2.881%2.88%37-1.000000x-1.000000x1.325915x1.325915x1.33x2.437%2.44%3.232%3.23%38-1.000000x-1.000000x1.309730x1.309730x1.31x0.868%0.87%1.137%1.14%39-1.000000x-1.000000x1.298249x1.298249x1.30x0.796%0.80%1.033%1.03%40-1.000000x-1.000000x1.271055x1.271055x1.27x3.549%3.55%4.511%4.51%41-1.000000x-1.000000x1.251393x1.251393x1.25x1.489%1.49%1.864%1.86%42-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%43-1.000000x-1.000000x1.248003x1.248003x1.25x2.992%2.99%3.734%3.73%44-1.000000x-1.000000x1.207534x1.207534x1.21x1.498%1.50%1.809%1.81%45-1.000000x-1.000000x1.199895x1.199895x1.20x1.203%1.20%1.443%1.44%46-1.000000x-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%47-1.000000x-1.000000x1.028949x1.028949x1.03x1.330%1.33%1.369%1.37%48-1.253864x-1.253864x1.25x1.000000x1.000000x1.369%1.37%1.092%1.09%49-1.954634x-1.954634x1.95x1.000000x1.000000x1.566%1.57%0.801%0.80%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Kandiyohi County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Kandiyohi County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Kandiyohi County, selected other counties in the United States, and entities that contain Kandiyohi County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinWest North CentralNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMinnesotaMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.767175%11.767175%11.8%3,36411.767175%11.767175%11.8%3,36411.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.174633%9.174633%9.2%1,278,0511.28M9.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.376055%7.376055%7.4%270,121270k7.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county 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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Kandiyohi County, selected other counties in the United States, and entities that contain Kandiyohi County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkMinnesotaPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisWest North CentralMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.240609%34.240609%34.2%1,253,9371.25M34.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3830.056536%30.056536%30.1%4,186,9564.19M29.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.516440%22.516440%22.5%6,43722.516440%22.516440%22.5%6,43722.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county 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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Kandiyohi County, selected other counties in the United States, and entities that contain Kandiyohi County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughMinnesotaKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.458748%3.458748%3.5%126,664127k3.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.529033%2.529033%2.5%7232.529033%2.529033%2.5%7232.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county 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#60

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 Kandiyohi County, selected other counties in the United States, and entities that contain Kandiyohi County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWillmar AreaKandiyohiWakeWestchesterFairfieldContra CostaWest North CentralMinnesotaHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%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-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-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-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

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 Kandiyohi County, selected other counties in the United States, and entities that contain Kandiyohi County
Female
Male
1x0x1x2xFM#Willmar AreaKandiyohiPalm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoMinnesotaOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-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-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Principal City:
Willmar
Cities:
Atwater, Blomkest, Kandiyohi, Lake Lillian, New London, Pennock, Prinsburg, Raymond, Regal, Spicer, Sunburg, Willmar
Townships:
Arctander, Burbank, Colfax, Dovre, East Lake Lillian, Edwards, Fahlun, Gennessee, Green Lake, Harrison, Holland, Irving, Kandiyohi, Lake Andrew, Lake Elizabeth, Lake Lillian, Mamre, New London, Norway Lake, Roseland, Roseville, St. Johns, Whitefield, Willmar
ZIP Codes:
56201, 56209, 56216, 56251, 56252, 56253, 56273, 56279, 56281, 56282, 56284, 56288, 56289, 56312, 56316, 56362
Unified School Districts:
A.C.G.C., Belgrade-Brooten-Elrosa, Bird Island-Olivia-Lake Lillian, Kerkhoven-Murdock-Sunburg, M.A.C.C.R.A.Y., New London-Spicer, Paynesville, Prinsburg, Renville County West, Willmar
Congressional District:
MN-7
State Senate District:
MN-17
State House Districts:
MN-17A, MN-17B
Neighboring Counties:
Chippewa, Meeker, Pope, Renville, Stearns, Swift
Nearby Counties:
Douglas, McLeod, Redwood, Sibley, Yellow Medicine