Educational Attainment in Nisswa, Crow Wing County, Minnesota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Crow Wing County and Nisswa
Nisswa
Crow Wing County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma250.253807%37.405725%50.253807%50.3%79247.842640%56.075017%47.842640%47.8%7541.903553%6.519258%1.903553%1.9%30
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 Crow Wing County at large.
Scope: population of Crow Wing County and Nisswa
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma234.347904%34.347904%+34.3%50.254%50.3%37.406%37.4%-14.681008%-14.681008%-14.7%47.843%47.8%56.075%56.1%-70.801074%-70.801074%-70.8%1.904%1.90%6.519%6.52%
% percentage with given level in Nisswa
ref. percentage with given level in Crow Wing 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 Crow Wing County and Nisswa
Nisswa
Crow Wing County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.253807%0.857149%0.253807%0.3%43.426396%1.537497%3.426396%3.4%546.662437%5.926191%6.662437%6.7%10526.205584%15.869570%26.205584%26.2%41313.705584%13.215317%13.705584%13.7%21622.461929%25.640624%22.461929%22.5%35425.380711%30.434393%25.380711%25.4%4001.459391%4.867623%1.459391%1.5%230.444162%1.197323%0.444162%0.4%70.000000%0.000000%0.0%0.454311%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Crow Wing County at large.
Scope: population of Crow Wing County and Nisswa
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-70.389392%-70.389392%-70.4%0.254%0.25%0.857%0.86%122.855385%122.855385%+122.9%3.426%3.43%1.537%1.54%12.423585%12.423585%+12.4%6.662%6.66%5.926%5.93%65.131025%65.131025%+65.1%26.206%26.2%15.870%15.9%3.709839%3.709839%+3.7%13.706%13.7%13.215%13.2%-12.397105%-12.397105%-12.4%22.462%22.5%25.641%25.6%-16.605170%-16.605170%-16.6%25.381%25.4%30.434%30.4%-70.018408%-70.018408%-70.0%1.459%1.46%4.868%4.87%-62.903719%-62.903719%-62.9%0.444%0.44%1.197%1.20%-100.000000%-100.000000%-100.0%0.000%0%0.454%0.45%
% percentage with given level in Nisswa
ref. percentage with given level in Crow Wing 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 Crow Wing County and Nisswa
More Females More Males
Crow Wing County
Nisswa
0%100%200%300%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-9.803875%-2.071845%-9.803875%10%52.611%52.6%47.914%47.9%-0.754872%4.649721%4.649721%5%46.752%46.8%48.925%48.9%396.207332%20.028750%396.207332%396%0.637%0.64%3.161%3.16%
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 Crow Wing County and Nisswa
More Females More Males
Crow Wing County
Nisswa
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%9.348896%1,000.000000%> 1000%0.000%0%0.506%0.51%183.547047%77.104799%183.547047%184%1.783%1.78%5.057%5.06%-24.347473%-12.856684%-24.347473%24%7.389%7.39%5.942%5.94%-5.253831%-5.253831%5%6.286635%26.879%26.9%25.537%25.5%-52.318175%-15.999803%-52.318175%52%16.561%16.6%10.872%10.9%-9.062570%-3.522385%-9.062570%9%23.439%23.4%21.492%21.5%17.679772%1.541476%17.679772%18%23.312%23.3%27.434%27.4%257.269279%32.138207%257.269279%257%0.637%0.64%2.276%2.28%-12.936523%1,000.000000%1,000.000000%> 1000%0.000%0%0.885%0.88%
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 Crow Wing County and Nisswa
Nisswa
Crow Wing County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3421.276596%13.580058%21.276596%21.3%11051726.533742%15.594200%26.533742%26.5%17365230.769231%21.993127%30.769231%30.8%6019533.018868%15.017911%33.018868%33.0%70212
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 Crow Wing County at large.
Scope: population of Crow Wing County and Nisswa
0%50%100%%ref.65+45-6435-4425-3456.675292%56.675292%56.7%21.277%21.3%13.580%13.6%70.151357%70.151357%70.2%26.534%26.5%15.594%15.6%39.903846%39.903846%39.9%30.769%30.8%21.993%22.0%119.863251%119.863251%119.9%33.019%33.0%15.018%15.0%
% percentage in Nisswa with a Bachelor's degree
ref percentage in Crow Wing 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 Crow Wing County and Nisswa
More Females More Males
Crow Wing County
Nisswa
50%0%50%FM65+45-6435-4425-3472.637406%40.174569%72.637406%72.6%15.254%15.3%26.335%26.3%-10.003731%-0.717932%-10.003731%10.0%27.761%27.8%25.237%25.2%-77.441860%-77.441860%77.4%11.065211%40.698%40.7%22.936%22.9%-34.103261%-38.983460%-34.103261%34.1%36.719%36.7%27.381%27.4%
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 Crow Wing County and Nisswa
Nisswa
Crow Wing County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$66,818.000000$62,956.000000$66,818.000000$66.8k16310.343%10.3%$42,188.000000$45,238.000000$42,188.000000$42.2k41326.206%26.2%$40,052.000000$31,726.000000$40,052.000000$40.1k57036.168%36.2%$26,875.000000$26,636.000000$26,875.000000$26.9k40025.381%25.4%$40,750.000000$33,061.000000$40,750.000000$40.8k1,576100.000%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 Crow Wing County and Nisswa
Female Male
Crow Wing County
Nisswa
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeTotal$-66,477.000000$-60,588.000000$-66,477.000000$66.5k$66,477.000000$4,273.000000$60,588.000000$7,610.000000$70,750.000000$70.8k7291$-30,000.000000$-36,012.000000$-30,000.000000$30.0k$30,000.000000$21,354.000000$36,012.000000$18,870.000000$51,354.000000$51.4k211202$-38,173.000000$-26,817.000000$-38,173.000000$38.2k$38,173.000000$7,105.000000$26,817.000000$11,264.000000$45,278.000000$45.3k314256$-31,852.000000$-26,929.000000$-31,852.000000$31.9k$31,852.000000$14,398.000000$26,929.000000$13,611.000000$46,250.000000$46.3k785791
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 Crow Wing County and Nisswa
Nisswa
Crow Wing County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.148515%83.637767%85.148515%85.1%34473.923445%78.779860%73.923445%73.9%30971.308017%66.505246%71.308017%71.3%1690.000000%0.000000%0.0%63.103670%0
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 Crow Wing County and Nisswa
Female Male
Crow Wing County
Nisswa
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%MFWhite1Asian-0.692521%-5.576073%-0.692521%0.7%0.692521%2.512607%5.576073%1.216717%3.205128%3.2%255-0.000000%-2.666667%0.000000%0.0%0.000000%0.000000%2.666667%4.375587%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Crow Wing County and Nisswa
Female Male
Crow Wing County
Nisswa
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1Asian-36.153846%-0.549755%-23.868144%-36.703601%36.7%36.153846%23.868144%1.218702%36.153846%36.2%282265-26.829268%-22.000000%-26.829268%26.8%26.829268%73.170732%22.000000%23.070423%100.000000%100.0%1111
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 Nisswa

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

Percentage of the population 25 years and older with given highest level of educational attainment
40.1%42.1%44.0%46.0%47.9%49.9%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
46.0%48.0%50.1%52.1%54.1%56.2%

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
1.95%2.39%2.82%3.26%3.70%4.14%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.42%0.67%0.90%1.14%1.38%1.62%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.1%1.7%2.2%2.7%3.2%3.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.70%6.14%6.58%7.01%7.44%7.88%

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

Percentage of the population 25 years and older with given highest level of educational attainment
20.0%21.0%22.0%23.0%24.0%25.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
12.0%12.6%13.2%13.8%14.4%15.0%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
22.8%24.0%25.2%26.3%27.5%28.7%

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
23.1%24.0%24.9%25.8%26.6%27.5%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.61%1.95%2.28%2.61%2.94%3.28%

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
0.31%0.55%0.79%1.03%1.27%1.51%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.07%0.14%0.20%0.27%0.34%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Educational Attainment by County Subdivision in the Brainerd Area

There are 117 county subdivisions in the Brainerd Area. This section compares Nisswa to the 50 most populous county subdivisions in the Brainerd Area and to those entities that contain or substantially overlap with Nisswa. The least populous of the compared county subdivisions has a population of 504.

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 Nisswa, selected other county subdivisions in the Brainerd Area, and entities that contain Nisswa
0%5%10%15%20%Count#Pine RiverRoosevelt TownshipRooseveltCrosbyPike Bay TownshipPike BayDaggett Brook TownshipDaggett BrkUnited States of AmericaUnited StatesCass LakeWilkinson TownshipWilkinsonMaple Grove TownshipMaple GrvPine River TownshipPne RivBirch Lake TownshipBirch LkMidwestPowers TownshipPowersBecker TownshipBeckerIrontonTurtle Lake TownshipTurtle LkEmilyDeerwoodWest North CentralGarrison TownshipGarrisonSylvan TownshipSylvanFort Ripley TownshipFort RipleyWalkerIrondale TownshipIrondaleBrainerdWilson TownshipWilsonBay Lake TownshipBay LkShingobee TownshipShingobeeKego TownshipMay TownshipMinnesotaBrainerd Metro AreaBrainerd AreaNokay Lake TownshipNokay LkBarclay TownshipBarclayCrow Wing CountyCrow WingOak Lawn TownshipOak LawnMission TownshipMissionPequot LakesLoon Lake TownshipLoon LkDeerwood TownshipDeerwoodCrooked Lake TownshipCrooked LkFirst Assessment1st AssessmentSt. Mathias TownshipSt. MathiasCrow Wing TownshipCrow WingLong Lake TownshipLong LkLake Edward TownshipLk EdwardCenter TownshipCtrBaxterZIP Code 56468ZIP 56468Fairview TownshipFairviewLake ShoreEast Gull LakeE Gull LkWoodrow TownshipWoodrowBreezy PointIdeal TownshipIdealNisswaNisswaCrosslake21.942446%21.942446%21.9%122117.362637%17.362637%17.4%79215.632184%15.632184%15.6%272313.982103%13.982103%14.0%125413.657407%13.657407%13.7%59513.020590%13.020590%13.0%27,818,38027.8M12.435233%12.435233%12.4%48612.380952%12.380952%12.4%39710.896309%10.896309%10.9%62810.684274%10.684274%10.7%89910.467706%10.467706%10.5%471010.244520%10.244520%10.2%4,641,8354.64M9.819639%9.819639%9.8%49119.708738%9.708738%9.7%30129.641256%9.641256%9.6%43139.362550%9.362550%9.4%47149.322034%9.322034%9.3%55159.195402%9.195402%9.2%40169.174633%9.174633%9.2%1,278,0511.28M9.140768%9.140768%9.1%50179.018987%9.018987%9.0%171188.620690%8.620690%8.6%55198.541973%8.541973%8.5%58208.179724%8.179724%8.2%71218.133022%8.133022%8.1%697228.068460%8.068460%8.1%33237.908163%7.908163%7.9%62247.704280%7.704280%7.7%99257.656613%7.656613%7.7%33267.575758%7.575758%7.6%45277.376055%7.376055%7.4%270,121270k7.195081%7.195081%7.2%4,7046.730769%6.730769%6.7%42286.720430%6.720430%6.7%25296.519258%6.519258%6.5%2,9136.333073%6.333073%6.3%81305.902778%5.902778%5.9%34315.889724%5.889724%5.9%94325.793451%5.793451%5.8%23335.761317%5.761317%5.8%56345.714286%5.714286%5.7%26355.398523%5.398523%5.4%212365.221932%5.221932%5.2%20374.898530%4.898530%4.9%70384.829211%4.829211%4.8%41394.622111%4.622111%4.6%74404.109589%4.109589%4.1%27413.913858%3.913858%3.9%209423.158189%3.158189%3.2%1133.025478%3.025478%3.0%19432.996255%2.996255%3.0%24442.620690%2.620690%2.6%19452.173913%2.173913%2.2%13461.992528%1.992528%2.0%32471.989529%1.989529%2.0%19481.903553%1.903553%1.9%301.903553%1.903553%1.9%30491.201771%1.201771%1.2%1950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Nisswa, selected other county subdivisions in the Brainerd Area, and entities that contain Nisswa
0%10%20%30%40%Count#Fairview TownshipFairviewEast Gull LakeE Gull LkIdeal TownshipIdealCrosslakeLake ShoreNisswaNisswaFirst Assessment1st AssessmentZIP Code 56468ZIP 56468MinnesotaBreezy PointWoodrow TownshipWoodrowDeerwood TownshipDeerwoodUnited States of AmericaUnited StatesWest North CentralBaxterMidwestShingobee TownshipShingobeeBay Lake TownshipBay LkLake Edward TownshipLk EdwardWalkerEmilyCrow Wing CountyCrow WingCenter TownshipCtrBrainerd Metro AreaBrainerd AreaMission TownshipMissionPequot LakesWilson TownshipWilsonCrooked Lake TownshipCrooked LkSt. Mathias TownshipSt. MathiasLong Lake TownshipLong LkMay TownshipFort Ripley TownshipFort RipleyBirch Lake TownshipBirch LkGarrison TownshipGarrisonTurtle Lake TownshipTurtle LkLoon Lake TownshipLoon LkSylvan TownshipSylvanIrondale TownshipIrondaleBrainerdNokay Lake TownshipNokay LkCrow Wing TownshipCrow WingBarclay TownshipBarclayPowers TownshipPowersKego TownshipOak Lawn TownshipOak LawnBecker TownshipBeckerDaggett Brook TownshipDaggett BrkIrontonRoosevelt TownshipRooseveltPine River TownshipPne RivMaple Grove TownshipMaple GrvWilkinson TownshipWilkinsonPike Bay TownshipPike BayCrosbyPine RiverDeerwoodCass Lake42.356688%42.356688%42.4%266141.793103%41.793103%41.8%303239.057592%39.057592%39.1%373337.697660%37.697660%37.7%596436.953808%36.953808%37.0%296536.548223%36.548223%36.5%57636.548223%36.548223%36.5%576634.861217%34.861217%34.9%1,369734.768027%34.768027%34.8%1,24434.240609%34.240609%34.2%1,253,9371.25M34.122042%34.122042%34.1%548833.444816%33.444816%33.4%200930.555556%30.555556%30.6%2971030.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.906367%29.906367%29.9%1,5971128.952816%28.952816%29.0%13,118,64213.1M28.404669%28.404669%28.4%3651226.658163%26.658163%26.7%2091325.796377%25.796377%25.8%4131424.447717%24.447717%24.4%1661524.406780%24.406780%24.4%1441624.190408%24.190408%24.2%10,80910.8k23.439878%23.439878%23.4%1541723.139282%23.139282%23.1%15,12815.1k23.090278%23.090278%23.1%1331822.807018%22.807018%22.8%3641922.493888%22.493888%22.5%922022.417582%22.417582%22.4%1022121.671018%21.671018%21.7%832221.083628%21.083628%21.1%1792320.202020%20.202020%20.2%1202419.905956%19.905956%19.9%1272519.821826%19.821826%19.8%892619.378428%19.378428%19.4%1062719.322709%19.322709%19.3%972818.891688%18.891688%18.9%752918.618143%18.618143%18.6%3533018.548387%18.548387%18.5%1613118.448075%18.448075%18.4%1,5813218.429487%18.429487%18.4%1153317.844647%17.844647%17.8%2553415.860215%15.860215%15.9%593515.831663%15.831663%15.8%793615.545244%15.545244%15.5%673715.324472%15.324472%15.3%1963815.210356%15.210356%15.2%473915.046296%15.046296%15.0%654015.022422%15.022422%15.0%674114.945055%14.945055%14.9%684214.525810%14.525810%14.5%1214314.235501%14.235501%14.2%814412.698413%12.698413%12.7%404512.527964%12.527964%12.5%1124611.781609%11.781609%11.8%205479.892086%9.892086%9.9%55489.425287%9.425287%9.4%41496.735751%6.735751%6.7%2650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Nisswa, selected other county subdivisions in the Brainerd Area, and entities that contain Nisswa
0%2%4%6%Count#Fairview TownshipFairviewDeerwood TownshipDeerwoodCrosslakeFirst Assessment1st AssessmentEast Gull LakeE Gull LkBaxterZIP Code 56468ZIP 56468NisswaNisswaShingobee TownshipShingobeeMinnesotaUnited States of AmericaUnited StatesIdeal TownshipIdealWoodrow TownshipWoodrowMission TownshipMissionPequot LakesWest North CentralMidwestEmilyLake ShoreDeerwoodCrow Wing CountyCrow WingCrooked Lake TownshipCrooked LkIrondale TownshipIrondaleBrainerd Metro AreaBrainerd AreaTurtle Lake TownshipTurtle LkBay Lake TownshipBay LkBrainerdLake Edward TownshipLk EdwardWilson TownshipWilsonRoosevelt TownshipRooseveltCrow Wing TownshipCrow WingFort Ripley TownshipFort RipleyPine River TownshipPne RivMaple Grove TownshipMaple GrvPowers TownshipPowersBecker TownshipBeckerNokay Lake TownshipNokay LkLong Lake TownshipLong LkDaggett Brook TownshipDaggett BrkCrosbyBreezy PointPike Bay TownshipPike BayBirch Lake TownshipBirch LkWilkinson TownshipWilkinsonCenter TownshipCtrWalkerLoon Lake TownshipLoon LkSylvan TownshipSylvanGarrison TownshipGarrisonPine RiverOak Lawn TownshipOak LawnMay TownshipIrontonCass LakeSt. Mathias TownshipSt. MathiasKego TownshipBarclay TownshipBarclay7.324841%7.324841%7.3%4615.555556%5.555556%5.6%5424.617331%4.617331%4.6%7334.558187%4.558187%4.6%17944.275862%4.275862%4.3%3154.044944%4.044944%4.0%21663.717160%3.717160%3.7%1333.680203%3.680203%3.7%583.680203%3.680203%3.7%5873.501946%3.501946%3.5%4583.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.246073%3.246073%3.2%3193.177258%3.177258%3.2%19103.125000%3.125000%3.1%18113.007519%3.007519%3.0%48122.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.881356%2.881356%2.9%17132.871411%2.871411%2.9%23142.758621%2.758621%2.8%12152.394647%2.394647%2.4%1,0702.197802%2.197802%2.2%10162.188940%2.188940%2.2%19172.139864%2.139864%2.1%1,3991.992032%1.992032%2.0%10181.913265%1.913265%1.9%15191.715286%1.715286%1.7%147201.499063%1.499063%1.5%24211.466993%1.466993%1.5%6221.318681%1.318681%1.3%6231.259622%1.259622%1.3%18241.253918%1.253918%1.3%8251.200480%1.200480%1.2%10261.054482%1.054482%1.1%6271.002004%1.002004%1.0%5280.970874%0.970874%1.0%3290.961538%0.961538%1.0%6300.942285%0.942285%0.9%8310.925926%0.925926%0.9%4320.862069%0.862069%0.9%15330.809465%0.809465%0.8%13340.782998%0.782998%0.8%7350.668151%0.668151%0.7%3360.634921%0.634921%0.6%2370.608828%0.608828%0.6%4380.589102%0.589102%0.6%4390.503778%0.503778%0.5%2400.421941%0.421941%0.4%8410.365631%0.365631%0.4%2420.359712%0.359712%0.4%2430.312744%0.312744%0.3%4440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Nisswa, selected other county subdivisions in the Brainerd Area, and entities that contain Nisswa
Female
Male
0x5x10xFM#IdealLake ShoreDeerwoodNisswaNisswaFairviewMaple GrvBreezy PointNokay LkCrosslakeWoodrowBeckerOak LawnPequot LakesMissionMay TownshipSylvanFort RipleyRooseveltPowersPine RiverTurtle LkGarrisonPne RivLong LkPike BayCrooked LkBrainerd AreaWalkerCrow WingCrosbyZIP 56468West North CentralMinnesotaMidwestDeerwoodUnited StatesIrondaleBrainerdIronton1st AssessmentDaggett BrkWilkinsonLoon LkBirch LkBay LkKego TownshipEmilyCtrCrow WingCass LakeE Gull LkShingobeeWilsonBarclayBaxterLk EdwardSt. Mathias-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.077%4.08%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.253%0.25%5.679%5.68%2-1.000000x-1.000000x6.416667x6.416667x6.42x2.597%2.60%16.667%16.7%3-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%4-1.000000x-1.000000x4.694611x4.694611x4.69x1.020%1.02%4.790%4.79%5-1.000000x-1.000000x3.550538x3.550538x3.55x4.710%4.71%16.724%16.7%6-1.000000x-1.000000x3.145408x3.145408x3.15x0.973%0.97%3.061%3.06%7-1.000000x-1.000000x2.906422x2.906422x2.91x3.367%3.37%9.786%9.79%8-1.000000x-1.000000x2.904639x2.904639x2.90x0.621%0.62%1.804%1.80%9-1.000000x-1.000000x2.857143x2.857143x2.86x1.087%1.09%3.106%3.11%10-1.000000x-1.000000x2.793841x2.793841x2.79x4.930%4.93%13.772%13.8%11-1.000000x-1.000000x2.660932x2.660932x2.66x3.454%3.45%9.190%9.19%12-1.000000x-1.000000x2.588997x2.588997x2.59x3.429%3.43%8.877%8.88%13-1.000000x-1.000000x2.005566x2.005566x2.01x3.901%3.90%7.823%7.82%14-1.000000x-1.000000x1.978433x1.978433x1.98x5.161%5.16%10.211%10.2%15-1.000000x-1.000000x1.948044x1.948044x1.95x6.067%6.07%11.819%11.8%16-1.000000x-1.000000x1.898380x1.898380x1.90x5.802%5.80%11.014%11.0%17-1.000000x-1.000000x1.884444x1.884444x1.88x11.792%11.8%22.222%22.2%18-1.000000x-1.000000x1.821226x1.821226x1.82x6.838%6.84%12.453%12.5%19-1.000000x-1.000000x1.785484x1.785484x1.79x16.404%16.4%29.289%29.3%20-1.000000x-1.000000x1.764706x1.764706x1.76x6.773%6.77%11.952%12.0%21-1.000000x-1.000000x1.658422x1.658422x1.66x6.818%6.82%11.307%11.3%22-1.000000x-1.000000x1.598343x1.598343x1.60x8.213%8.21%13.126%13.1%23-1.000000x-1.000000x1.472767x1.472767x1.47x3.846%3.85%5.664%5.66%24-1.000000x-1.000000x1.319114x1.319114x1.32x12.088%12.1%15.945%15.9%25-1.000000x-1.000000x1.232408x1.232408x1.23x5.093%5.09%6.276%6.28%26-1.000000x-1.000000x1.221751x1.221751x1.22x6.482%6.48%7.919%7.92%-1.000000x-1.000000x1.212776x1.212776x1.21x7.715%7.72%9.357%9.36%27-1.000000x-1.000000x1.200288x1.200288x1.20x5.934%5.93%7.123%7.12%-1.000000x-1.000000x1.196972x1.196972x1.20x14.374%14.4%17.206%17.2%28-1.000000x-1.000000x1.196807x1.196807x1.20x2.873%2.87%3.439%3.44%-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-1.000000x1.109474x1.109474x1.11x5.447%5.45%6.043%6.04%29-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.098312x1.098312x1.10x7.798%7.80%8.565%8.56%30-1.000000x-1.000000x1.072373x1.072373x1.07x7.879%7.88%8.449%8.45%31-1.000000x-1.000000x1.041880x1.041880x1.04x9.434%9.43%9.829%9.83%32-1.033634x-1.033634x1.03x1.000000x1.000000x5.491%5.49%5.312%5.31%33-1.044851x-1.044851x1.04x1.000000x1.000000x13.990%14.0%13.389%13.4%34-1.045969x-1.045969x1.05x1.000000x1.000000x12.658%12.7%12.102%12.1%35-1.063772x-1.063772x1.06x1.000000x1.000000x5.970%5.97%5.612%5.61%36-1.105704x-1.105704x1.11x1.000000x1.000000x11.009%11.0%9.957%9.96%37-1.116797x-1.116797x1.12x1.000000x1.000000x8.355%8.36%7.481%7.48%38-1.119283x-1.119283x1.12x1.000000x1.000000x8.072%8.07%7.212%7.21%39-1.160000x-1.160000x1.16x1.000000x1.000000x10.000%10.0%8.621%8.62%40-1.189732x-1.189732x1.19x1.000000x1.000000x4.514%4.51%3.794%3.79%41-1.375850x-1.375850x1.38x1.000000x1.000000x5.740%5.74%4.172%4.17%42-1.590698x-1.590698x1.59x1.000000x1.000000x14.884%14.9%9.357%9.36%43-1.757382x-1.757382x1.76x1.000000x1.000000x3.352%3.35%1.907%1.91%44-1.969981x-1.969981x1.97x1.000000x1.000000x10.044%10.0%5.099%5.10%45-1.997382x-1.997382x2.00x1.000000x1.000000x10.995%11.0%5.505%5.50%46-2.341102x-2.341102x2.34x1.000000x1.000000x9.605%9.60%4.103%4.10%47-2.443325x-2.443325x2.44x1.000000x1.000000x5.427%5.43%2.221%2.22%48-2.616927x-2.616927x2.62x1.000000x1.000000x6.743%6.74%2.577%2.58%49-4.105820x-4.105820x4.11x1.000000x1.000000x8.466%8.47%2.062%2.06%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Nisswa, selected other county subdivisions in the Brainerd Area, and entities that contain Nisswa
Female
Male
10x5x0x5x10xFM#Breezy PointOak LawnWalkerCtrBay LkPine RiverLoon LkBeckerBirch LkCrooked LkWilkinsonShingobeeIrondaleMissionIdealEmilyBaxterWoodrowNisswaNisswaZIP 56468E Gull LkDeerwoodFairviewLake ShoreLk EdwardCrosbyBrainerd AreaMidwestWest North CentralUnited StatesTurtle LkCrow WingMinnesotaPowersBrainerdDeerwoodCrosslakeDaggett Brk1st AssessmentFort RipleyMaple GrvRooseveltPne RivCrow WingPequot LakesSylvanPike BayLong LkNokay LkGarrisonWilson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.658%1.66%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.623%0.62%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.170%1.17%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.084%1.08%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.741%3.74%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.837%0.84%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.020%1.02%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.796%1.80%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.299%1.30%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.184%4.18%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.274%1.27%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.148%0.15%7.237%7.24%12-1.000000x-1.000000x8.578704x8.578704x8.58x0.459%0.46%3.935%3.94%13-1.000000x-1.000000x7.673469x7.673469x7.67x0.709%0.71%5.442%5.44%14-1.000000x-1.000000x7.083155x7.083155x7.08x0.818%0.82%5.794%5.79%15-1.000000x-1.000000x4.827586x4.827586x4.83x1.000%1.00%4.828%4.83%16-1.000000x-1.000000x3.811032x3.811032x3.81x1.738%1.74%6.624%6.62%17-1.000000x-1.000000x3.214286x3.214286x3.21x1.449%1.45%4.658%4.66%18-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%19-1.000000x-1.000000x3.107234x3.107234x3.11x1.803%1.80%5.602%5.60%-1.000000x-1.000000x2.804496x2.804496x2.80x2.235%2.23%6.267%6.27%20-1.000000x-1.000000x2.556391x2.556391x2.56x3.050%3.05%7.797%7.80%21-1.000000x-1.000000x2.494012x2.494012x2.49x4.082%4.08%10.180%10.2%22-1.000000x-1.000000x2.234921x2.234921x2.23x1.768%1.77%3.951%3.95%23-1.000000x-1.000000x1.928834x1.928834x1.93x1.018%1.02%1.963%1.96%24-1.000000x-1.000000x1.876455x1.876455x1.88x0.620%0.62%1.164%1.16%25-1.000000x-1.000000x1.644717x1.644717x1.64x1.621%1.62%2.666%2.67%-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-1.000000x1.500000x1.500000x1.50x1.594%1.59%2.390%2.39%26-1.000000x-1.000000x1.483973x1.483973x1.48x1.934%1.93%2.870%2.87%-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.324528x1.324528x1.32x0.855%0.85%1.132%1.13%27-1.000000x-1.000000x1.258705x1.258705x1.26x1.538%1.54%1.936%1.94%28-1.000000x-1.000000x1.132353x1.132353x1.13x2.597%2.60%2.941%2.94%29-1.168455x-1.168455x1.17x1.000000x1.000000x4.969%4.97%4.253%4.25%30-1.238342x-1.238342x1.24x1.000000x1.000000x1.036%1.04%0.837%0.84%31-1.794323x-1.794323x1.79x1.000000x1.000000x5.913%5.91%3.296%3.30%32-1.962457x-1.962457x1.96x1.000000x1.000000x1.706%1.71%0.870%0.87%33-2.123188x-2.123188x2.12x1.000000x1.000000x1.449%1.45%0.683%0.68%34-2.292453x-2.292453x2.29x1.000000x1.000000x1.887%1.89%0.823%0.82%35-2.361514x-2.361514x2.36x1.000000x1.000000x1.691%1.69%0.716%0.72%36-5.793051x-5.793051x5.79x1.000000x1.000000x2.266%2.27%0.391%0.39%37-7.086400x-7.086400x7.09x1.000000x1.000000x4.914%4.91%0.693%0.69%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.867%0.87%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.538%1.54%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.051%2.05%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.020%2.02%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.758%0.76%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.141%3.14%0.000%0%44
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 44 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares Nisswa to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with Nisswa. 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 Nisswa, selected other county subdivisions in Minnesota, and entities that contain Nisswa
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaBrainerd Metro AreaBrainerd AreaCoon RapidsRosevilleCrow Wing CountyCrow WingDuluthRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewZIP Code 56468ZIP 56468ChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdinaNisswaNisswa16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%9.174633%9.2%1,278,0511.28M7.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.195081%7.195081%7.2%4,7047.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.519258%6.519258%6.5%2,9136.456536%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%612433.158189%3.158189%3.2%1133.108874%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%748501.903553%1.903553%1.9%301.903553%1.903553%1.9%30
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 Nisswa, selected other county subdivisions in Minnesota, and entities that contain Nisswa
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadNisswaNisswaRichfieldShakopeeMankatoFarmingtonDuluthZIP Code 56468ZIP 56468Inver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsCrow Wing CountyCrow WingBrainerd Metro AreaBrainerd AreaAustinBrooklyn 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%8,7652536.548223%36.548223%36.5%57636.548223%36.548223%36.5%57636.544602%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%18,78418.8k3034.768027%34.768027%34.8%1,24434.649346%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%11,19111.2k4724.190408%24.190408%24.2%10,80910.8k23.139282%23.139282%23.1%15,12815.1k21.410083%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 Nisswa, selected other county subdivisions in Minnesota, and entities that contain Nisswa
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenZIP Code 56468ZIP 56468Maple GroveNisswaNisswaMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvilleCrow Wing CountyCrow WingPrior LakeBrainerd Metro AreaBrainerd AreaRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn 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%614173.717160%3.717160%3.7%1333.692855%3.692855%3.7%1,702183.680203%3.680203%3.7%583.680203%3.680203%3.7%583.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.394647%2.394647%2.4%1,0702.174045%2.174045%2.2%357322.139864%2.139864%2.1%1,3992.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.673021%1.673021%1.7%825401.653038%1.653038%1.7%376411.638270%1.638270%1.6%275421.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%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 Nisswa, selected other county subdivisions in Minnesota, and entities that contain Nisswa
Female
Male
0x2x4xFM#NisswaNisswaFarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrainerd AreaCrow WingZIP 56468Brooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.221751x1.221751x1.22x6.482%6.48%7.919%7.92%-1.000000x-1.000000x1.200288x1.200288x1.20x5.934%5.93%7.123%7.12%-1.000000x-1.000000x1.196807x1.196807x1.20x2.873%2.87%3.439%3.44%-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%19-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%21-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%22-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%23-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%24-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Nisswa, selected other county subdivisions in Minnesota, and entities that contain Nisswa
Female
Male
2x0x2xFM#WinonaNisswaNisswaZIP 56468White Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadBrainerd AreaWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveCrow WingMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x3.549966x3.549966x3.55x1.887%1.89%6.698%6.70%1-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%-1.000000x-1.000000x3.107234x3.107234x3.11x1.803%1.80%5.602%5.60%-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%2-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%3-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%4-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%5-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%6-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%7-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%8-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%9-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%10-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%11-1.000000x-1.000000x1.842122x1.842122x1.84x1.143%1.14%2.106%2.11%12-1.000000x-1.000000x1.831940x1.831940x1.83x2.992%2.99%5.480%5.48%13-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%14-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%15-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%16-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%17-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%18-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%19-1.000000x-1.000000x1.655114x1.655114x1.66x1.942%1.94%3.214%3.21%20-1.000000x-1.000000x1.644717x1.644717x1.64x1.621%1.62%2.666%2.67%-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-1.000000x1.483973x1.483973x1.48x1.934%1.93%2.870%2.87%-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 Nisswa to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Nisswa. 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 Nisswa, selected other county subdivisions in the Midwest, and entities that contain Nisswa
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaBrainerd Metro AreaBrainerd AreaLincolnWashington TownshipWashingtonCrow Wing CountyCrow WingOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkZIP Code 56468ZIP 56468Ann ArborNisswaNisswa33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.195081%7.195081%7.2%4,7047.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.519258%6.519258%6.5%2,9136.424130%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%4,282493.158189%3.158189%3.2%1133.157717%3.157717%3.2%2,057501.903553%1.903553%1.9%301.903553%1.903553%1.9%30
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 Nisswa, selected other county subdivisions in the Midwest, and entities that contain Nisswa
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceNisswaNisswaChicagoCapital TownshipCapitalZIP Code 56468ZIP 56468ColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthCrow Wing CountyCrow WingMilwaukeeBrainerd Metro AreaBrainerd AreaRockford 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%29,32429.3k1936.548223%36.548223%36.5%57636.548223%36.548223%36.5%57636.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.768027%34.768027%34.8%1,24434.685843%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%26,38926.4k3524.190408%24.190408%24.2%10,80910.8k23.517740%23.517740%23.5%85,81285.8k3623.139282%23.139282%23.1%15,12815.1k21.592552%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 Nisswa, selected other county subdivisions in the Midwest, and entities that contain Nisswa
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineZIP Code 56468ZIP 56468NisswaNisswaPalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaCrow Wing CountyCrow WingProviso TownshipProvisoAkronBrainerd Metro AreaBrainerd AreaBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.717160%3.717160%3.7%1333.680203%3.680203%3.7%583.680203%3.680203%3.7%583.487439%3.487439%3.5%2,782203.458748%3.458748%3.5%126,664127k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.394647%2.394647%2.4%1,0702.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.139864%2.139864%2.1%1,3992.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%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 Nisswa, selected other county subdivisions in the Midwest, and entities that contain Nisswa
Female
Male
0x2x4xFM#NisswaNisswaCedar RapidsLincolnDetroitOmahaToledoBrainerd AreaThorntonCrow WingZIP 56468Kansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%-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-1.000000x1.221751x1.221751x1.22x6.482%6.48%7.919%7.92%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.200288x1.200288x1.20x5.934%5.93%7.123%7.12%-1.000000x-1.000000x1.196807x1.196807x1.20x2.873%2.87%3.439%3.44%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%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 Nisswa, selected other county subdivisions in the Midwest, and entities that contain Nisswa
Female
Male
1x0x1x2x3xFM#NisswaNisswaZIP 56468RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaBrainerd AreaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborCrow WingTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%-1.000000x-1.000000x3.107234x3.107234x3.11x1.803%1.80%5.602%5.60%-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-1.000000x1.644717x1.644717x1.64x1.621%1.62%2.666%2.67%-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-1.000000x1.483973x1.483973x1.48x1.934%1.93%2.870%2.87%-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 Nisswa to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Nisswa. 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 Nisswa, selected other county subdivisions in the United States, and entities that contain Nisswa
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaBrainerd Metro AreaBrainerd AreaCrow Wing CountyCrow WingPlanoSeattle EastZIP Code 56468ZIP 56468NisswaNisswa28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k7.195081%7.195081%7.2%4,7046.519258%6.519258%6.5%2,9135.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.158189%3.158189%3.2%1131.903553%1.903553%1.9%301.903553%1.903553%1.9%30
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 Nisswa, selected other county subdivisions in the United States, and entities that contain Nisswa
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisNisswaNisswaChicagoZIP Code 56468ZIP 56468ColumbusLos 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 WorthCrow Wing CountyCrow WingSouthwest DallasSW DallasMilwaukeeBrainerd Metro AreaBrainerd AreaFresnoLas 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%173,478173k1636.548223%36.548223%36.5%57636.548223%36.548223%36.5%57636.546320%36.546320%36.5%669,666670k1734.768027%34.768027%34.8%1,24434.685843%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%131,349131k4124.190408%24.190408%24.2%10,80910.8k23.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4323.139282%23.139282%23.1%15,12815.1k22.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Nisswa, selected other county subdivisions in the United States, and entities that contain Nisswa
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaZIP Code 56468ZIP 56468NisswaNisswaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyCrow Wing CountyCrow WingOntarioFort WorthLas VegasBrainerd Metro AreaBrainerd AreaMilwaukeeSan 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%38,51538.5k243.717160%3.717160%3.7%1333.680203%3.680203%3.7%583.680203%3.680203%3.7%583.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.394647%2.394647%2.4%1,0702.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.139864%2.139864%2.1%1,3992.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Nisswa, selected other county subdivisions in the United States, and entities that contain Nisswa
Female
Male
0x2x4xFM#NisswaNisswa1, CharlotteDetroitBrainerd AreaCrow WingZIP 56468BaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%-1.000000x-1.000000x4.962073x4.962073x4.96x0.637%0.64%3.161%3.16%-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-1.000000x1.221751x1.221751x1.22x6.482%6.48%7.919%7.92%-1.000000x-1.000000x1.200288x1.200288x1.20x5.934%5.93%7.123%7.12%-1.000000x-1.000000x1.196807x1.196807x1.20x2.873%2.87%3.439%3.44%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Nisswa, selected other county subdivisions in the United States, and entities that contain Nisswa
Female
Male
1x0x1x2x3xFM#NisswaNisswaZIP 56468El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixBrainerd AreaTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoCrow WingNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%-1.000000x-1.000000x3.119018x3.119018x3.12x1.783%1.78%5.563%5.56%-1.000000x-1.000000x3.107234x3.107234x3.11x1.803%1.80%5.602%5.60%-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-1.000000x1.644717x1.644717x1.64x1.621%1.62%2.666%2.67%-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-1.000000x1.483973x1.483973x1.48x1.934%1.93%2.870%2.87%-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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
Crow Wing
Metro Area:
Brainerd Area
City:
Nisswa
ZIP Codes:
56401, 56468, 56472
Unified School Districts:
Brainerd, Pequot Lakes
Congressional District:
MN-8
State Senate District:
MN-10
State House District:
MN-10A
Neighboring Townships:
Fairview, Lake Edward, Loon Lake, Pelican
Neighboring Unorganized Territories:
First Assessment
Nearby Townships:
Center, Home Brook, Maple, Oak Lawn, Sylvan