Educational Attainment in the Nebish Township, Beltrami County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Beltrami County and the Nebish Township
Nebish Township
Beltrami County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.207921%39.375681%29.207921%29.2%5964.356436%50.849365%64.356436%64.4%1306.435644%9.774955%6.435644%6.4%13
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 Beltrami County at large.
Scope: population of Beltrami County and the Nebish Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-25.822436%-25.822436%-25.8%29.208%29.2%39.376%39.4%26.562910%26.562910%+26.6%64.356%64.4%50.849%50.8%-34.161909%-34.161909%-34.2%6.436%6.44%9.775%9.77%
% percentage with given level in the Nebish Township
ref. percentage with given level in Beltrami 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 Beltrami County and the Nebish Township
Nebish Township
Beltrami County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.495050%1.941924%0.495050%0.5%11.485149%1.477314%1.485149%1.5%34.950495%5.833031%4.950495%5.0%1014.356436%17.546279%14.356436%14.4%297.920792%12.577132%7.920792%7.9%1619.306931%23.611615%19.306931%19.3%3945.049505%27.237750%45.049505%45.0%914.950495%7.506352%4.950495%5.0%100.495050%1.880218%0.495050%0.5%10.990099%0.388385%0.990099%1.0%2
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Beltrami County at large.
Scope: population of Beltrami County and the Nebish Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-74.507264%-74.507264%-74.5%0.495%0.50%1.942%1.94%0.530323%0.530323%+0.5%1.485%1.49%1.477%1.48%-15.129970%-15.129970%-15.1%4.950%4.95%5.833%5.83%-18.179602%-18.179602%-18.2%14.356%14.4%17.546%17.5%-37.022274%-37.022274%-37.0%7.921%7.92%12.577%12.6%-18.231216%-18.231216%-18.2%19.307%19.3%23.612%23.6%65.393638%65.393638%+65.4%45.050%45.0%27.238%27.2%-34.049256%-34.049256%-34.0%4.950%4.95%7.506%7.51%-73.670630%-73.670630%-73.7%0.495%0.50%1.880%1.88%154.927362%154.927362%+154.9%0.990%0.99%0.388%0.39%
% percentage with given level in the Nebish Township
ref. percentage with given level in Beltrami 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 Beltrami County and the Nebish Township
More Females More Males
Beltrami County
Nebish Township
0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.338044%50.166667%50.166667%50%23.585%23.6%35.417%35.4%-31.577074%-31.577074%32%1.229718%72.642%72.6%55.208%55.2%148.437500%50.377513%148.437500%148%3.774%3.77%9.375%9.38%
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 Beltrami County and the Nebish Township
More Females More Males
Beltrami County
Nebish Township
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%26.869563%1,000.000000%> 1000%0.000%0%1.042%1.04%-81.132075%-81.132075%81%22.351199%1.887%1.89%1.042%1.04%-22.404093%893.750000%893.750000%894%0.943%0.94%9.375%9.38%-3.937041%3.055556%3.055556%3%14.151%14.2%14.583%14.6%-32.205183%41.964286%41.964286%42%6.604%6.60%9.375%9.38%-17.203108%-9.936935%-17.203108%17%20.755%20.8%17.708%17.7%-38.364780%-38.364780%38%11.048295%51.887%51.9%37.500%37.5%65.625000%47.838644%65.625000%66%3.774%3.77%6.250%6.25%1,000.000000%87.197334%1,000.000000%> 1000%0.000%0%1.042%1.04%-32.480519%1,000.000000%1,000.000000%> 1000%0.000%0%2.083%2.08%
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 Beltrami County and the Nebish Township
Nebish Township
Beltrami County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3410.638298%17.497720%10.638298%10.6%54712.068966%16.289296%12.068966%12.1%1411625.000000%20.345489%25.000000%25.0%52026.315789%17.658624%26.315789%26.3%519
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 Beltrami County at large.
Scope: population of Beltrami County and the Nebish Township
20%0%20%40%%ref.65+45-6435-4425-34-39.201804%-39.201804%39.2%10.638%10.6%17.498%17.5%-25.908614%-25.908614%25.9%12.069%12.1%16.289%16.3%22.877358%22.877358%22.9%25.000%25.0%20.345%20.3%49.025144%49.025144%49.0%26.316%26.3%17.659%17.7%
% percentage in the Nebish Township with a Bachelor's degree
ref percentage in Beltrami 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 Beltrami County and the Nebish Township
More Females More Males
Beltrami County
Nebish Township
0%500%1,000%FM65+45-6435-4425-34-126.666667%-126.666667%126.7%33.745607%13.333%13.3%5.882%5.88%-20.218579%-4.618288%-20.218579%20.2%13.115%13.1%10.909%10.9%-33.905463%1,000.000000%1,000.000000%> 1000%0.000%0%38.462%38.5%-106.250000%-18.709480%-106.250000%106.3%37.500%37.5%18.182%18.2%
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 Beltrami County and the Nebish Township
Nebish Township
Beltrami County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2Total$36,250.000000$40,574.000000$36,250.000000$36.3k2914.356%14.4%$31,250.000000$28,843.000000$31,250.000000$31.3k5527.228%27.2%$40,625.000000$23,062.000000$40,625.000000$40.6k9145.050%45.0%$32,500.000000$30,587.000000$32,500.000000$32.5k202100.000%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 Beltrami County and the Nebish Township
Female Male
Beltrami County
Nebish Township
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40kFMBachelor's DegreeSome CollegeTotal$-22,500.000000$-36,918.000000$-22,500.000000$22.5k$22,500.000000$26,250.000000$36,918.000000$5,467.000000$48,750.000000$48.8k1514$-30,000.000000$-11,250.000000$-25,718.000000$-41,250.000000$41.3k$30,000.000000$25,718.000000$10,464.000000$30,000.000000$30.0k2926$-30,938.000000$-27,273.000000$-30,938.000000$30.9k$30,938.000000$9,687.000000$27,273.000000$7,881.000000$40,625.000000$40.6k10696
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 Beltrami County and the Nebish Township
Nebish Township
Beltrami County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma372.222222%85.298988%72.222222%72.2%2674.468085%75.479386%74.468085%74.5%3563.934426%65.225564%63.934426%63.9%3927.272727%49.866524%27.272727%27.3%3
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 Beltrami County and the Nebish Township
Female Male
Beltrami County
Nebish Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%8%MFWhite1-3.846154%-5.800340%-3.846154%3.8%3.846154%5.528846%5.800340%3.339247%9.375000%9.4%94
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 Beltrami County and the Nebish Township
Female Male
Beltrami County
Nebish Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1-17.307692%-29.939069%-0.814349%-17.307692%17.3%17.307692%8.733974%29.939069%26.041667%26.0%2518
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Bemidji Area

There are 55 county subdivisions in the Bemidji Area. This section compares the Nebish Township to the 50 most populous county subdivisions in the Bemidji Area and to those entities that contain or substantially overlap with the Nebish Township. The least populous of the compared county subdivisions has a population of 27.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Nebish Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Nebish Township
0%10%20%Count#SolwayLower Red LakeLower Red LkNorth BeltramiN BeltramiLangor TownshipLangorBattle TownshipBattleRoosevelt TownshipRooseveltSteenerson TownshipSteenersonTen Lake TownshipTen LkShooks TownshipShooksUnited States of AmericaUnited StatesAlaska TownshipAlaskaMaple Ridge TownshipMaple RdgLammers TownshipLammersCormant TownshipCormantWiltonMoose Lake TownshipMoose LkLee TownshipBuzzle TownshipBuzzleMidwestHornet TownshipHornetBenville TownshipBenvilleBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiEckles TownshipEcklesHines TownshipHinesWaskish TownshipWaskishWest North CentralLiberty TownshipLiberty450400Tract 450400BlackduckBrook LakeSugar Bush TownshipSugar BushBemidjiNorthern TownshipNFrohn TownshipFrohnShotley TownshipShotleyMinnesotaKelliherBemidji TownshipBemidjiNebish TownshipNebishJones TownshipJonesGrant Valley TownshipGrant VlyTurtle River TownshipTurtle RivBirch TownshipBirchKelliher TownshipKelliherWoodrow TownshipWoodrowDurand TownshipDurandSummit TownshipSummitQuiring TownshipQuiringTaylor TownshipTaylorPort Hope TownshipPort HopeTurtle RiverTurtle Lake TownshipTurtle LkTenstrikeHagali TownshipHagaliSpruce Grove TownshipSpruce GrvO'Brien TownshipO'Brien29.411765%29.411765%29.4%20125.721884%25.721884%25.7%677222.222222%22.222222%22.2%8317.699115%17.699115%17.7%20415.909091%15.909091%15.9%7514.285714%14.285714%14.3%26614.285714%14.285714%14.3%5713.437500%13.437500%13.4%86813.402062%13.402062%13.4%13913.020590%13.020590%13.0%27,818,38027.8M12.820513%12.820513%12.8%201012.500000%12.500000%12.5%111112.276215%12.276215%12.3%481212.121212%12.121212%12.1%121311.965812%11.965812%12.0%141411.656442%11.656442%11.7%191511.538462%11.538462%11.5%31611.055276%11.055276%11.1%221710.244520%10.244520%10.2%4,641,8354.64M10.144928%10.144928%10.1%141810.000000%10.000000%10.0%5199.774955%9.774955%9.8%2,6939.774955%9.774955%9.8%2,6939.599156%9.599156%9.6%91209.375000%9.375000%9.4%48219.210526%9.210526%9.2%7229.174633%9.174633%9.2%1,278,0511.28M9.090909%9.090909%9.1%40239.054326%9.054326%9.1%1808.982036%8.982036%9.0%45248.759124%8.759124%8.8%12258.648649%8.648649%8.6%16268.448233%8.448233%8.4%674277.973665%7.973665%8.0%218287.826982%7.826982%7.8%76297.692308%7.692308%7.7%2307.376055%7.376055%7.4%270,121270k6.696429%6.696429%6.7%15316.507004%6.507004%6.5%144326.435644%6.435644%6.4%13336.329114%6.329114%6.3%10346.016598%6.016598%6.0%87355.945946%5.945946%5.9%55365.660377%5.660377%5.7%3375.617978%5.617978%5.6%5385.454545%5.454545%5.5%3394.929577%4.929577%4.9%7404.729730%4.729730%4.7%7414.651163%4.651163%4.7%2424.444444%4.444444%4.4%4433.974895%3.974895%4.0%19443.947368%3.947368%3.9%3453.793467%3.793467%3.8%36463.174603%3.174603%3.2%4473.004292%3.004292%3.0%7482.380952%2.380952%2.4%1490.000000%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 without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Nebish Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Nebish Township
0%10%20%30%40%50%Count#Turtle Lake TownshipTurtle LkTurtle River TownshipTurtle RivShotley TownshipShotleyMinnesotaJones TownshipJonesSummit TownshipSummitO'Brien TownshipO'BrienBemidji TownshipBemidjiDurand TownshipDurandWiltonNorthern TownshipNGrant Valley TownshipGrant VlyFrohn TownshipFrohnUnited States of AmericaUnited StatesTurtle RiverBemidjiWest North CentralMidwestLiberty TownshipLibertyNorth BeltramiN BeltramiMoose Lake TownshipMoose LkBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiAlaska TownshipAlaskaTaylor TownshipTaylorPort Hope TownshipPort HopeHagali TownshipHagaliMaple Ridge TownshipMaple RdgTenstrikeTen Lake TownshipTen LkWoodrow TownshipWoodrowBuzzle TownshipBuzzleSugar Bush TownshipSugar BushEckles TownshipEcklesRoosevelt TownshipRooseveltNebish TownshipNebishSteenerson TownshipSteenersonSpruce Grove TownshipSpruce Grv450400Tract 450400Hines TownshipHinesKelliherQuiring TownshipQuiringLammers TownshipLammersKelliher TownshipKelliherHornet TownshipHornetBirch TownshipBirchSolwayBlackduckLee TownshipShooks TownshipShooksBattle TownshipBattleLower Red LakeLower Red LkWaskish TownshipWaskishLangor TownshipLangorBrook LakeBenville TownshipBenvilleCormant TownshipCormant50.263435%50.263435%50.3%477139.027027%39.027027%39.0%361234.615385%34.615385%34.6%9334.240609%34.240609%34.2%1,253,9371.25M34.177215%34.177215%34.2%54433.783784%33.783784%33.8%50533.333333%33.333333%33.3%9633.303208%33.303208%33.3%737731.690141%31.690141%31.7%45831.623932%31.623932%31.6%37931.565472%31.565472%31.6%8631031.120332%31.120332%31.1%4501130.792997%30.792997%30.8%2991230.315023%30.315023%30.3%64,767,78764.8M30.263158%30.263158%30.3%231330.170469%30.170469%30.2%2,4071430.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.954545%27.954545%28.0%1231527.777778%27.777778%27.8%101626.993865%26.993865%27.0%441726.798548%26.798548%26.8%7,38326.798548%26.798548%26.8%7,38325.641026%25.641026%25.6%401825.555556%25.555556%25.6%231925.523013%25.523013%25.5%1222024.892704%24.892704%24.9%582123.863636%23.863636%23.9%212223.809524%23.809524%23.8%302323.750000%23.750000%23.8%1522423.636364%23.636364%23.6%132523.618090%23.618090%23.6%472623.243243%23.243243%23.2%432723.206751%23.206751%23.2%2202821.978022%21.978022%22.0%402921.287129%21.287129%21.3%433020.000000%20.000000%20.0%73119.047619%19.047619%19.0%83218.410463%18.410463%18.4%36617.187500%17.187500%17.2%883316.517857%16.517857%16.5%373416.279070%16.279070%16.3%73515.856777%15.856777%15.9%623615.730337%15.730337%15.7%143713.768116%13.768116%13.8%193813.207547%13.207547%13.2%73911.764706%11.764706%11.8%84011.576846%11.576846%11.6%584111.538462%11.538462%11.5%3429.278351%9.278351%9.3%9439.090909%9.090909%9.1%4446.838906%6.838906%6.8%180456.578947%6.578947%6.6%5466.194690%6.194690%6.2%7475.109489%5.109489%5.1%7482.000000%2.000000%2.0%1491.010101%1.010101%1.0%150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Nebish Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Nebish Township
0%2%4%6%8%Count#Turtle Lake TownshipTurtle LkNorthern TownshipNFrohn TownshipFrohnSpruce Grove TownshipSpruce GrvBattle TownshipBattleBemidjiTurtle River TownshipTurtle RivSugar Bush TownshipSugar BushLiberty TownshipLibertyDurand TownshipDurandMinnesotaBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiWiltonUnited States of AmericaUnited StatesGrant Valley TownshipGrant VlyWest North CentralMidwestTurtle RiverTen Lake TownshipTen LkTenstrikeRoosevelt TownshipRooseveltHagali TownshipHagaliBemidji TownshipBemidjiBuzzle TownshipBuzzleNebish TownshipNebishJones TownshipJonesEckles TownshipEcklesPort Hope TownshipPort HopeShooks TownshipShooks450400Tract 450400KelliherBlackduckHines TownshipHinesLower Red LakeLower Red LkLammers TownshipLammersSummit TownshipSummitAlaska TownshipAlaskaMoose Lake TownshipMoose LkHornet TownshipHornetBrook LakeLangor TownshipLangorCormant TownshipCormantMaple Ridge TownshipMaple RdgKelliher TownshipKelliherTaylor TownshipTaylorSolwayWaskish TownshipWaskishWoodrow TownshipWoodrowBenville TownshipBenvilleQuiring TownshipQuiringBirch TownshipBirchNorth BeltramiN BeltramiLee TownshipSteenerson TownshipSteenersonO'Brien TownshipO'BrienShotley TownshipShotley9.694415%9.694415%9.7%9217.315289%7.315289%7.3%20025.767250%5.767250%5.8%5634.761905%4.761905%4.8%244.545455%4.545455%4.5%254.449737%4.449737%4.4%35564.432432%4.432432%4.4%4174.324324%4.324324%4.3%884.318182%4.318182%4.3%1993.521127%3.521127%3.5%5103.458748%3.458748%3.5%126,664127k3.419238%3.419238%3.4%9423.419238%3.419238%3.4%9423.418803%3.418803%3.4%4113.336158%3.336158%3.3%7,127,6737.13M3.250346%3.250346%3.3%47122.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.631579%2.631579%2.6%2132.500000%2.500000%2.5%16142.380952%2.380952%2.4%3152.197802%2.197802%2.2%4162.145923%2.145923%2.1%5172.078626%2.078626%2.1%46182.010050%2.010050%2.0%4191.980198%1.980198%2.0%4201.898734%1.898734%1.9%3211.371308%1.371308%1.4%13221.255230%1.255230%1.3%6231.030928%1.030928%1.0%1240.553320%0.553320%0.6%110.446429%0.446429%0.4%1250.399202%0.399202%0.4%2260.195313%0.195313%0.2%1270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Nebish Township
Female
Male
10x5x0x5x10xFM#KelliherTurtle RiverWoodrowBenvilleSpruce GrvN BeltramiLee TownshipShotleyLammersMaple RdgPort HopeMoose LkBemidjiFrohnTurtle LkSummitDurandNebishShooksWaskishCormantBemidjiBirchLower Red LkBemidji AreaBeltramiHornetBattleEcklesTen LkHagaliJonesRooseveltTurtle RivBuzzleBlackduckWest North CentralMinnesotaMidwestUnited StatesTract 450400Grant VlyBrook LakeNLibertyTaylorWiltonHinesSugar BushSolwayLangorAlaskaSteenersonKelliherTenstrikeQuiring-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.417%10.4%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.500%7.50%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.091%9.09%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%18.519%18.5%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.000%4.00%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%42.105%42.1%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%23.077%23.1%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%14.286%14.3%8-1.000000x-1.000000x6.482759x6.482759x6.48x3.191%3.19%20.690%20.7%9-1.000000x-1.000000x6.296296x6.296296x6.30x2.941%2.94%18.519%18.5%10-1.000000x-1.000000x4.509653x4.509653x4.51x1.370%1.37%6.178%6.18%11-1.000000x-1.000000x3.357558x3.357558x3.36x5.195%5.19%17.442%17.4%12-1.000000x-1.000000x2.832399x2.832399x2.83x3.379%3.38%9.571%9.57%13-1.000000x-1.000000x2.829572x2.829572x2.83x3.965%3.96%11.219%11.2%14-1.000000x-1.000000x2.605485x2.605485x2.61x2.105%2.11%5.485%5.49%15-1.000000x-1.000000x2.568493x2.568493x2.57x2.667%2.67%6.849%6.85%16-1.000000x-1.000000x2.500000x2.500000x2.50x2.817%2.82%7.042%7.04%17-1.000000x-1.000000x2.484375x2.484375x2.48x3.774%3.77%9.375%9.38%18-1.000000x-1.000000x2.393617x2.393617x2.39x8.000%8.00%19.149%19.1%19-1.000000x-1.000000x2.134146x2.134146x2.13x5.714%5.71%12.195%12.2%20-1.000000x-1.000000x1.960000x1.960000x1.96x8.163%8.16%16.000%16.0%21-1.000000x-1.000000x1.746269x1.746269x1.75x6.257%6.26%10.927%10.9%22-1.000000x-1.000000x1.655172x1.655172x1.66x4.167%4.17%6.897%6.90%23-1.000000x-1.000000x1.588701x1.588701x1.59x19.767%19.8%31.403%31.4%24-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.454545x1.454545x1.45x8.333%8.33%12.121%12.1%25-1.000000x-1.000000x1.428571x1.428571x1.43x12.500%12.5%17.857%17.9%26-1.000000x-1.000000x1.390805x1.390805x1.39x8.058%8.06%11.207%11.2%27-1.000000x-1.000000x1.310469x1.310469x1.31x11.846%11.8%15.523%15.5%28-1.000000x-1.000000x1.299435x1.299435x1.30x2.609%2.61%3.390%3.39%29-1.000000x-1.000000x1.289855x1.289855x1.29x5.618%5.62%7.246%7.25%30-1.000000x-1.000000x1.275000x1.275000x1.28x12.745%12.7%16.250%16.3%31-1.000000x-1.000000x1.267697x1.267697x1.27x5.215%5.22%6.612%6.61%32-1.000000x-1.000000x1.192661x1.192661x1.19x10.000%10.0%11.927%11.9%33-1.000000x-1.000000x1.176082x1.176082x1.18x8.414%8.41%9.896%9.90%34-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.010916x-1.010916x1.01x1.000000x1.000000x9.099%9.10%9.001%9.00%-1.034641x-1.034641x1.03x1.000000x1.000000x6.120%6.12%5.915%5.91%35-1.245902x-1.245902x1.25x1.000000x1.000000x9.836%9.84%7.895%7.89%36-1.281997x-1.281997x1.28x1.000000x1.000000x8.912%8.91%6.952%6.95%37-1.292810x-1.292810x1.29x1.000000x1.000000x10.222%10.2%7.907%7.91%38-1.307692x-1.307692x1.31x1.000000x1.000000x5.128%5.13%3.922%3.92%39-1.503030x-1.503030x1.50x1.000000x1.000000x14.545%14.5%9.677%9.68%40-1.696751x-1.696751x1.70x1.000000x1.000000x11.552%11.6%6.809%6.81%41-1.790196x-1.790196x1.79x1.000000x1.000000x10.784%10.8%6.024%6.02%42-1.842105x-1.842105x1.84x1.000000x1.000000x36.842%36.8%20.000%20.0%43-1.958442x-1.958442x1.96x1.000000x1.000000x23.636%23.6%12.069%12.1%44-2.000000x-2.000000x2.00x1.000000x1.000000x16.667%16.7%8.333%8.33%45-2.538462x-2.538462x2.54x1.000000x1.000000x23.077%23.1%9.091%9.09%46-2.799550x-2.799550x2.80x1.000000x1.000000x9.910%9.91%3.540%3.54%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.154%6.15%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.000%10.0%0.000%0%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Nebish Township
Female
Male
10x5x0x5x10xFM#HinesTenstrikeWiltonBattleSpruce GrvTurtle LkJonesTen LkEcklesNMidwestWest North CentralUnited StatesDurandMinnesotaTurtle RivFrohnBemidji AreaBeltramiSugar BushGrant VlyBemidjiNebishBemidjiTurtle RiverBuzzleLibertyTract 450400Port HopeHagaliBlackduckKelliherRooseveltShooks-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.426%0.43%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.918%4.92%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.452%6.45%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.000%8.00%5-1.000000x-1.000000x4.119784x4.119784x4.12x3.789%3.79%15.612%15.6%6-1.000000x-1.000000x2.579710x2.579710x2.58x1.124%1.12%2.899%2.90%7-1.000000x-1.000000x1.684889x1.684889x1.68x1.928%1.93%3.249%3.25%8-1.000000x-1.000000x1.668966x1.668966x1.67x1.033%1.03%1.724%1.72%9-1.000000x-1.000000x1.667376x1.667376x1.67x5.544%5.54%9.244%9.24%10-1.000000x-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-1.000000x1.500000x1.500000x1.50x2.817%2.82%4.225%4.23%11-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.423683x1.423683x1.42x3.628%3.63%5.165%5.17%12-1.000000x-1.000000x1.259944x1.259944x1.26x5.066%5.07%6.383%6.38%13-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-1.000000x-1.000000x1.228916x1.228916x1.23x3.922%3.92%4.819%4.82%14-1.000000x-1.000000x1.224471x1.224471x1.22x2.921%2.92%3.576%3.58%15-1.000000x-1.000000x1.165985x1.165985x1.17x1.918%1.92%2.236%2.24%16-1.000000x-1.000000x1.104167x1.104167x1.10x1.887%1.89%2.083%2.08%17-1.101985x-1.101985x1.10x1.000000x1.000000x4.652%4.65%4.221%4.22%18-1.111111x-1.111111x1.11x1.000000x1.000000x2.778%2.78%2.500%2.50%19-1.211111x-1.211111x1.21x1.000000x1.000000x2.222%2.22%1.835%1.83%20-2.070370x-2.070370x2.07x1.000000x1.000000x5.778%5.78%2.791%2.79%21-2.255648x-2.255648x2.26x1.000000x1.000000x0.743%0.74%0.329%0.33%-2.365297x-2.365297x2.37x1.000000x1.000000x1.826%1.83%0.772%0.77%22-4.104348x-4.104348x4.10x1.000000x1.000000x3.478%3.48%0.847%0.85%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.647%0.65%0.000%0%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.901%0.90%0.000%0%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.922%3.92%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.000%2.00%0.000%0%27
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 27 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

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

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Nebish Township, selected other county subdivisions in Minnesota, and entities that contain the Nebish Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiWest North Central450400Tract 450400WinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleDuluthNebish TownshipNebishRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.774955%9.774955%9.8%2,6939.774955%9.774955%9.8%2,6939.174633%9.174633%9.2%1,278,0511.28M9.054326%9.054326%9.1%1807.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.456536%6.456536%6.5%3,427196.435644%6.435644%6.4%136.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Nebish Township, selected other county subdivisions in Minnesota, and entities that contain the Nebish Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiCoon RapidsAustinNebish TownshipNebishBrooklyn CenterBrooklyn CtrFaribault450400Tract 45040068.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284626.798548%26.798548%26.8%7,38326.798548%26.798548%26.8%7,38325.993543%25.993543%26.0%11,19111.2k4721.410083%21.410083%21.4%3,4744821.287129%21.287129%21.3%4320.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115018.410463%18.410463%18.4%366
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Nebish Township, selected other county subdivisions in Minnesota, and entities that contain the Nebish Township
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyShakopeeNebish TownshipNebishRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastings450400Tract 45040011.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.419238%3.419238%3.4%9423.419238%3.419238%3.4%9423.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.174045%2.174045%2.2%357322.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.980198%1.980198%2.0%41.876306%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%175500.553320%0.553320%0.6%11
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in Minnesota, and entities that contain the Nebish Township
Female
Male
1x0x1x2xFM#NebishFarmingtonRamseyEden PrairieMoorheadBemidji AreaBeltramiOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountTract 450400WinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x2.484375x2.484375x2.48x3.774%3.77%9.375%9.38%-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-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%19-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%21-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%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%27-1.010916x-1.010916x1.01x1.000000x1.000000x9.099%9.10%9.001%9.00%-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in Minnesota, and entities that contain the Nebish Township
Female
Male
2x0x2xFM#WinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsEaganBrooklyn CtrSt. PaulBemidji AreaBeltramiPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisNebishChamplinApple ValleyBurnsvilleBloomingtonChanhassenTract 450400Elk River-1.000000x-1.000000x3.549966x3.549966x3.55x1.887%1.89%6.698%6.70%1-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%2-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%3-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%4-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%5-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%6-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%7-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%8-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%9-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%10-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%11-1.000000x-1.000000x1.842122x1.842122x1.84x1.143%1.14%2.106%2.11%12-1.000000x-1.000000x1.831940x1.831940x1.83x2.992%2.99%5.480%5.48%13-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%14-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%15-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%16-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%17-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%18-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%19-1.000000x-1.000000x1.655114x1.655114x1.66x1.942%1.94%3.214%3.21%20-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583257x1.583257x1.58x4.465%4.46%7.069%7.07%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.559618x1.559618x1.56x5.912%5.91%9.220%9.22%23-1.000000x-1.000000x1.551084x1.551084x1.55x1.481%1.48%2.298%2.30%24-1.000000x-1.000000x1.548982x1.548982x1.55x2.267%2.27%3.511%3.51%25-1.000000x-1.000000x1.544665x1.544665x1.54x2.633%2.63%4.067%4.07%26-1.000000x-1.000000x1.544387x1.544387x1.54x2.283%2.28%3.525%3.53%27-1.000000x-1.000000x1.532997x1.532997x1.53x1.305%1.30%2.000%2.00%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%29-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.465286x1.465286x1.47x3.496%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-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-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-1.000000x1.104167x1.104167x1.10x1.887%1.89%2.083%2.08%-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%49-2.255648x-2.255648x2.26x1.000000x1.000000x0.743%0.74%0.329%0.33%-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Nebish Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Nebish Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Nebish Township, selected other county subdivisions in the Midwest, and entities that contain the Nebish Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiSioux FallsWest North Central450400Tract 450400Capital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashingtonNebish TownshipNebishOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.774955%9.774955%9.8%2,6939.774955%9.774955%9.8%2,6939.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M9.054326%9.054326%9.1%1808.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.435644%6.435644%6.4%136.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Nebish Township, selected other county subdivisions in the Midwest, and entities that contain the Nebish Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordNebish TownshipNebishAkronCenter TownshipCtrNorth TownshipNThornton TownshipThornton450400Tract 450400ToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.798548%26.798548%26.8%7,38326.798548%26.798548%26.8%7,38326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.287129%21.287129%21.3%4320.213821%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%21,01221.0k4118.410463%18.410463%18.4%36618.048021%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#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Nebish Township, selected other county subdivisions in the Midwest, and entities that contain the Nebish Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeNebish TownshipNebishWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton450400Tract 45040017.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.458748%3.458748%3.5%126,664127k3.419238%3.419238%3.4%9423.419238%3.419238%3.4%9423.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.980198%1.980198%2.0%41.958049%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%971500.553320%0.553320%0.6%11
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in the Midwest, and entities that contain the Nebish Township
Female
Male
1x0x1x2xFM#NebishBemidji AreaBeltramiCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronTract 450400Ann ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.484375x2.484375x2.48x3.774%3.77%9.375%9.38%-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%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%42-1.010916x-1.010916x1.01x1.000000x1.000000x9.099%9.10%9.001%9.00%-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in the Midwest, and entities that contain the Nebish Township
Female
Male
2x1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisBemidji AreaBeltramiChicagoWayneCtrToledoMinneapolisNebishWorthDetroitProvisoThorntonTract 450400-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-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-1.000000x1.104167x1.104167x1.10x1.887%1.89%2.083%2.08%-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%50-2.255648x-2.255648x2.26x1.000000x1.000000x0.743%0.74%0.329%0.33%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Nebish Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Nebish Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Nebish Township, selected other county subdivisions in the United States, and entities that contain the Nebish Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiAtlantaWest North Central450400Tract 450400SeattleNortheast TarrantNE TarrantMinnesotaNebish TownshipNebishPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.774955%9.774955%9.8%2,6939.774955%9.774955%9.8%2,6939.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M9.054326%9.054326%9.1%1808.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k6.435644%6.435644%6.4%135.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Nebish Township, selected other county subdivisions in the United States, and entities that contain the Nebish Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasNebish TownshipNebishEl PasoBronx450400Tract 450400San BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.798548%26.798548%26.8%7,38326.798548%26.798548%26.8%7,38326.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.287129%21.287129%21.3%4321.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4718.410463%18.410463%18.4%36616.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Nebish Township, selected other county subdivisions in the United States, and entities that contain the Nebish Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeNebish TownshipNebishSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit450400Tract 45040012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.458748%3.458748%3.5%126,664127k3.419238%3.419238%3.4%9423.419238%3.419238%3.4%9423.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.980198%1.980198%2.0%41.807306%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%5,693500.553320%0.553320%0.6%11
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in the United States, and entities that contain the Nebish Township
Female
Male
1x0x1x2xFM#NebishBemidji AreaBeltrami1, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Tract 450400Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.484375x2.484375x2.48x3.774%3.77%9.375%9.38%-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%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%36-1.010916x-1.010916x1.01x1.000000x1.000000x9.099%9.10%9.001%9.00%-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Nebish Township, selected other county subdivisions in the United States, and entities that contain the Nebish Township
Female
Male
2x1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynBemidji AreaBeltramiManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverNebishSan FranciscoDetroitTract 450400-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%-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-1.000000x1.104167x1.104167x1.10x1.887%1.89%2.083%2.08%-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%50-2.255648x-2.255648x2.26x1.000000x1.000000x0.743%0.74%0.329%0.33%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Minnesota
County:
Beltrami
Metro Area:
Bemidji Area
ZIP Codes:
56667, 56683
Unified School Districts:
Bemidji, Blackduck
Congressional Districts:
MN-7, MN-8
State Senate District:
MN-2
State House District:
MN-2A
Neighboring Townships:
Alaska, Durand, Hagali, Maple Ridge, O'Brien
Neighboring Unorganized Territories:
Lower Red Lake
Nearby Townships:
Buzzle, Hines, Langor, Liberty, Port Hope, Quiring, Roosevelt, Turtle Lake