Educational Attainment in the Northern 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 Northern Township
Northern Township
Beltrami County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma244.696416%39.375681%44.696416%44.7%1,22247.329920%50.849365%47.329920%47.3%1,2947.973665%9.774955%7.973665%8.0%218
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 Northern Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma213.512744%13.512744%+13.5%44.696%44.7%39.376%39.4%-6.921316%-6.921316%-6.9%47.330%47.3%50.849%50.8%-18.427601%-18.427601%-18.4%7.974%7.97%9.775%9.77%
% percentage with given level in the Northern 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 Northern Township
Northern Township
Beltrami County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.926116%1.941924%2.926116%2.9%804.389173%1.477314%4.389173%4.4%12011.594733%5.833031%11.594733%11.6%31712.655450%17.546279%12.655450%12.7%34613.130944%12.577132%13.130944%13.1%35922.238478%23.611615%22.238478%22.2%60825.091441%27.237750%25.091441%25.1%6866.510607%7.506352%6.510607%6.5%1781.463058%1.880218%1.463058%1.5%400.000000%0.000000%0.0%0.388385%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 Beltrami County at large.
Scope: population of Beltrami County and the Northern Township
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None50.681279%50.681279%+50.7%2.926%2.93%1.942%1.94%197.104979%197.104979%+197.1%4.389%4.39%1.477%1.48%98.777159%98.777159%+98.8%11.595%11.6%5.833%5.83%-27.873884%-27.873884%-27.9%12.655%12.7%17.546%17.5%4.403318%4.403318%+4.4%13.131%13.1%12.577%12.6%-5.815514%-5.815514%-5.8%22.238%22.2%23.612%23.6%-7.879904%-7.879904%-7.9%25.091%25.1%27.238%27.2%-13.265364%-13.265364%-13.3%6.511%6.51%7.506%7.51%-22.186791%-22.186791%-22.2%1.463%1.46%1.880%1.88%-100.000000%-100.000000%-100.0%0.000%0%0.388%0.39%
% percentage with given level in the Northern 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 Northern Township
More Females More Males
Beltrami County
Northern Township
20%0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.338044%8.151373%8.151373%8%43.018%43.0%46.524%46.5%-3.323251%-3.323251%3%1.229718%48.070%48.1%46.524%46.5%-28.199730%-28.199730%28%50.377513%8.912%8.91%6.952%6.95%
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 Northern Township
More Females More Males
Beltrami County
Northern Township
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.363.292590%26.869563%63.292590%63%2.246%2.25%3.667%3.67%69.083107%22.351199%69.083107%69%3.298%3.30%5.577%5.58%-22.404093%44.882151%44.882151%45%9.544%9.54%13.827%13.8%-36.798183%-3.937041%-36.798183%37%14.526%14.5%10.619%10.6%-4.435673%-32.205183%-4.435673%4%13.404%13.4%12.834%12.8%-9.936935%65.776986%65.776986%66%16.912%16.9%28.037%28.0%-68.535885%-68.535885%69%11.048295%31.158%31.2%18.487%18.5%-128.748538%-128.748538%129%47.838644%8.912%8.91%3.896%3.90%1,000.000000%87.197334%1,000.000000%> 1000%0.000%0%3.056%3.06%
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 Northern Township
Northern Township
Beltrami County
0%5%10%15%20%B.X.Total65+45-6435-4425-343.125000%17.497720%3.125000%3.1%1651212.174818%16.289296%12.174818%12.2%11796114.882033%20.345489%14.882033%14.9%8255118.450704%17.658624%18.450704%18.5%131710
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 Northern Township
80%60%40%20%0%%ref.65+45-6435-4425-34-82.140530%-82.140530%82.1%3.125%3.13%17.498%17.5%-25.258786%-25.258786%25.3%12.175%12.2%16.289%16.3%-26.853405%-26.853405%26.9%14.882%14.9%20.345%20.3%4.485516%4.485516%4.5%18.451%18.5%17.659%17.7%
% percentage in the Northern 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 Northern Township
More Females More Males
Beltrami County
Northern Township
1,000%500%0%FM65+45-6435-4425-34-1,000.000000%-1,000.000000%> 1000%33.745607%5.614%5.61%0.000%0%-50.808884%-4.618288%-50.808884%50.8%14.395%14.4%9.545%9.55%-21.058337%-33.905463%-21.058337%21.1%16.525%16.5%13.651%13.7%-21.743545%-18.709480%-21.743545%21.7%20.104%20.1%16.514%16.5%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Beltrami County and the Northern Township
Northern Township
Beltrami County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$58,173.000000$53,811.000000$58,173.000000$58.2k51718.910%18.9%$40,625.000000$40,574.000000$40,625.000000$40.6k34612.655%12.7%$30,739.000000$28,843.000000$30,739.000000$30.7k96735.369%35.4%$20,649.000000$23,062.000000$20,649.000000$20.6k68625.091%25.1%$32,303.000000$30,587.000000$32,303.000000$32.3k2,734100.000%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 Northern Township
Female Male
Beltrami County
Northern Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-47,109.000000$-11,304.000000$-51,992.000000$-58,413.000000$58.4k$47,109.000000$51,992.000000$8,933.000000$47,109.000000$47.1k215302$-40,324.000000$-843.000000$-36,918.000000$-41,167.000000$41.2k$40,324.000000$36,918.000000$5,467.000000$40,324.000000$40.3k207139$-25,625.000000$-25,718.000000$-25,625.000000$25.6k$25,625.000000$16,758.000000$25,718.000000$10,464.000000$42,383.000000$42.4k432535$-14,276.000000$-20,628.000000$-14,276.000000$14.3k$14,276.000000$13,037.000000$20,628.000000$6,773.000000$27,313.000000$27.3k444242$-29,297.000000$-27,273.000000$-29,297.000000$29.3k$29,297.000000$11,319.000000$27,273.000000$7,881.000000$40,616.000000$40.6k1,4251,309
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 Northern Township
Northern Township
Beltrami County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.740030%85.298988%87.740030%87.7%59479.266896%75.479386%79.266896%79.3%69263.765182%65.225564%63.765182%63.8%31550.561798%49.866524%50.561798%50.6%90
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 Northern Township
Female Male
Beltrami County
Northern Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1AsianOther1-5.041322%-5.800340%-5.041322%5.0%5.041322%2.393318%5.800340%3.339247%7.434641%7.4%9161-0.000000%-5.511811%0.000000%0.0%0.000000%0.000000%5.511811%3.899954%0.000000%0.0%00-0.000000%-35.294118%-16.515837%-35.294118%35.3%0.000000%16.515837%6.979865%0.000000%0.0%066
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 Northern Township
Female Male
Beltrami County
Northern Township
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1AsianOther1-32.561983%-29.939069%-0.814349%-32.561983%32.6%32.561983%3.467428%29.939069%36.029412%36.0%441394-0.000000%-32.283465%0.000000%0.0%0.000000%0.000000%32.283465%23.010653%0.000000%0.0%00-0.000000%-14.973262%-7.736390%-5.423490%-14.973262%15.0%0.000000%7.736390%0.000000%0.0%028
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Northern Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
42.4%43.4%44.3%45.3%46.2%47.2%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
44.8%45.9%46.9%47.9%49.0%50.0%

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
4.0%5.2%6.3%7.4%8.5%9.6%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
2.24%2.54%2.84%3.13%3.43%3.73%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.84%2.01%2.18%2.34%2.51%2.68%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.7%3.4%4.9%6.5%8.1%9.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
12.4%15.5%18.5%21.6%24.6%27.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.5%12.9%14.1%15.4%16.7%18.0%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
19.6%21.2%22.7%24.3%25.8%27.4%

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
22.4%23.0%23.5%24.1%24.6%25.2%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%3.7%4.5%5.3%6.1%7.0%

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
0.71%1.15%1.58%2.01%2.45%2.88%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.09%0.18%0.28%0.37%0.47%
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Educational Attainment by County Subdivision in the Bemidji Area

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northern Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Northern 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 TownshipLibertyBlackduckBrook LakeSugar Bush TownshipSugar BushBemidjiNorthern TownshipNBemidji Public School DistrictBemidjiFrohn TownshipFrohnShotley TownshipShotleyZIP Code 56601ZIP 56601MinnesotaKelliherBemidji 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%40238.982036%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%218287.858712%7.858712%7.9%1,8607.826982%7.826982%7.8%76297.692308%7.692308%7.7%2307.535072%7.535072%7.5%1,5637.376055%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northern Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Northern Township
0%10%20%30%40%50%Count#Turtle Lake TownshipTurtle LkTurtle River TownshipTurtle RivShotley TownshipShotleyMinnesotaJones TownshipJonesSummit TownshipSummitO'Brien TownshipO'BrienBemidji TownshipBemidjiZIP Code 56601ZIP 56601Durand TownshipDurandWiltonNorthern TownshipNGrant Valley TownshipGrant VlyBemidji Public School DistrictBemidjiFrohn 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 GrvHines 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%737731.904739%31.904739%31.9%6,61831.690141%31.690141%31.7%45831.623932%31.623932%31.6%37931.565472%31.565472%31.6%8631031.120332%31.120332%31.1%4501130.851783%30.851783%30.9%7,30230.792997%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%83217.187500%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Northern Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Northern Township
0%2%4%6%8%Count#Turtle Lake TownshipTurtle LkNorthern TownshipNFrohn TownshipFrohnSpruce Grove TownshipSpruce GrvBattle TownshipBattleZIP Code 56601ZIP 56601BemidjiTurtle River TownshipTurtle RivSugar Bush TownshipSugar BushLiberty TownshipLibertyBemidji Public School DistrictBemidjiDurand 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 TownshipShooksKelliherBlackduckHines 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%254.473798%4.473798%4.5%9284.449737%4.449737%4.4%35564.432432%4.432432%4.4%4174.324324%4.324324%4.3%884.318182%4.318182%4.3%1994.123711%4.123711%4.1%9763.521127%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%1240.446429%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Northern Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Northern Township
Female
Male
10x5x0x5x10xFM#KelliherTurtle RiverWoodrowBenvilleSpruce GrvN BeltramiLee TownshipShotleyLammersMaple RdgPort HopeMoose LkBemidjiFrohnTurtle LkSummitDurandNebishShooksWaskishCormantBemidjiBirchLower Red LkBemidji AreaBeltramiBemidjiZIP 56601HornetBattleEcklesTen LkHagaliJonesRooseveltTurtle RivBuzzleBlackduckWest North CentralMinnesotaMidwestUnited StatesGrant 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-1.000000x1.469885x1.469885x1.47x6.391%6.39%9.393%9.39%-1.000000x-1.000000x1.455337x1.455337x1.46x6.164%6.16%8.971%8.97%-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%-1.034641x-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#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Northern Township, selected other county subdivisions in the Bemidji Area, and entities that contain the Northern Township
Female
Male
10x5x0x5x10xFM#HinesTenstrikeWiltonBattleSpruce GrvTurtle LkJonesTen LkEcklesNMidwestWest North CentralUnited StatesDurandMinnesotaTurtle RivZIP 56601FrohnBemidji AreaBeltramiSugar BushGrant VlyBemidjiBemidjiNebishBemidjiTurtle RiverBuzzleLibertyPort 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-1.000000x1.277530x1.277530x1.28x3.940%3.94%5.033%5.03%-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-1.000000x1.216791x1.216791x1.22x3.729%3.73%4.537%4.54%-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%21-2.365297x-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 Northern Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Northern Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northern Township, selected other county subdivisions in Minnesota, and entities that contain the Northern Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiWest North CentralNorthern TownshipNWinonaMaplewoodBemidji Public School DistrictBemidjiInver Grove HeightsInver Grv HtsShakopeeBloomingtonZIP Code 56601ZIP 56601St. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleDuluthRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%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%1,278,0511.28M7.973665%7.973665%8.0%2187.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.858712%7.858712%7.9%1,8607.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.535072%7.535072%7.5%1,5637.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northern Township, selected other county subdivisions in Minnesota, and entities that contain the Northern Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineZIP Code 56601ZIP 56601Northern TownshipNOakdaleBemidji Public School DistrictBemidjiElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiCoon RapidsAustinBrooklyn CenterBrooklyn CtrFaribault68.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.904739%31.904739%31.9%6,61831.565472%31.565472%31.6%86331.447341%31.447341%31.4%5,9363630.851783%30.851783%30.9%7,30230.760391%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%3,4744820.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,01150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Northern Township, selected other county subdivisions in Minnesota, and entities that contain the Northern Township
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaNorthern TownshipNWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonZIP Code 56601ZIP 56601EaganDuluthWinonaMankatoBemidji Public School DistrictBemidjiChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn 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%2,84057.315289%7.315289%7.3%2007.214222%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%725124.473798%4.473798%4.5%9284.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879164.123711%4.123711%4.1%9763.852912%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%488351.876306%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 the Northern Township, selected other county subdivisions in Minnesota, and entities that contain the Northern Township
Female
Male
1x0x1x2xFM#FarmingtonRamseyEden PrairieMoorheadBemidji AreaBeltramiBemidjiZIP 56601OwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkNSavageNew Brighton-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%-1.000000x-1.000000x1.469885x1.469885x1.47x6.391%6.39%9.393%9.39%-1.000000x-1.000000x1.455337x1.455337x1.46x6.164%6.16%8.971%8.97%-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%27-1.021534x-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%48-1.281997x-1.281997x1.28x1.000000x1.000000x8.912%8.91%6.952%6.95%-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Northern Township, selected other county subdivisions in Minnesota, and entities that contain the Northern Township
Female
Male
2x0x2xFM#WinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonNRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsEaganBrooklyn CtrZIP 56601St. PaulBemidji AreaBeltramiPrior LakeFarmingtonSavageBrooklyn ParkBemidjiLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk 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-1.000000x1.667376x1.667376x1.67x5.544%5.54%9.244%9.24%-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-1.000000x1.277530x1.277530x1.28x3.940%3.94%5.033%5.03%-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-1.000000x1.216791x1.216791x1.22x3.729%3.73%4.537%4.54%-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%42-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%43-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northern Township, selected other county subdivisions in the Midwest, and entities that contain the Northern 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 CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineNorthern TownshipNBemidji Public School DistrictBemidjiSchaumburg TownshipSchaumburgZIP Code 56601ZIP 56601MinnesotaLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%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%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.973665%7.973665%8.0%2187.858712%7.858712%7.9%1,8607.739434%7.739434%7.7%7,226387.535072%7.535072%7.5%1,5637.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northern Township, selected other county subdivisions in the Midwest, and entities that contain the Northern 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 TownshipBloomingdaleZIP Code 56601ZIP 56601Cedar RapidsNorthern TownshipNBemidji Public School DistrictBemidjiUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.904739%31.904739%31.9%6,61831.793440%31.793440%31.8%27,10227.1k2831.565472%31.565472%31.6%86330.851783%30.851783%30.9%7,30230.315023%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%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Northern Township, selected other county subdivisions in the Midwest, and entities that contain the Northern Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvNorthern TownshipNWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoZIP Code 56601ZIP 56601FargoCapital TownshipCapitalBemidji Public School DistrictBemidjiOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaBemidji Metro AreaBemidji AreaBeltrami CountyBeltramiWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale 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%7,93637.315289%7.315289%7.3%2007.306290%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%82,18982.2k154.473798%4.473798%4.5%9284.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.123711%4.123711%4.1%9764.059919%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%7,455371.958049%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 the Northern Township, selected other county subdivisions in the Midwest, and entities that contain the Northern Township
Female
Male
1x0x1xFM#Bemidji AreaBeltramiBemidjiZIP 56601Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineN-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-1.000000x1.469885x1.469885x1.47x6.391%6.39%9.393%9.39%-1.000000x-1.000000x1.455337x1.455337x1.46x6.164%6.16%8.971%8.97%-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%42-1.031649x-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%50-1.281997x-1.281997x1.28x1.000000x1.000000x8.912%8.91%6.952%6.95%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Northern Township, selected other county subdivisions in the Midwest, and entities that contain the Northern Township
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaNFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiZIP 56601St. PaulSt. LouisBemidji AreaBeltramiChicagoWayneBemidjiCtrToledoMinneapolisWorthDetroitProvisoThornton-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-1.000000x1.667376x1.667376x1.67x5.544%5.54%9.244%9.24%-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-1.000000x1.277530x1.277530x1.28x3.940%3.94%5.033%5.03%-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-1.000000x1.216791x1.216791x1.22x3.729%3.73%4.537%4.54%-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northern Township, selected other county subdivisions in the United States, and entities that contain the Northern 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 CentralSeattleNortheast TarrantNE TarrantNorthern TownshipNBemidji Public School DistrictBemidjiZIP Code 56601ZIP 56601MinnesotaPlanoSeattle 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%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.973665%7.973665%8.0%2187.858712%7.858712%7.9%1,8607.535072%7.535072%7.5%1,5637.376055%7.376055%7.4%270,121270k5.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northern Township, selected other county subdivisions in the United States, and entities that contain the Northern 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 CityAlbuquerqueTampaTucsonZIP Code 56601ZIP 56601Northern TownshipNOceanside-EscondidoOceanside-Escond…TulsaBemidji Public School DistrictBemidjiQueensUnited 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 VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.904739%31.904739%31.9%6,61831.565472%31.565472%31.6%86331.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.851783%30.851783%30.9%7,30230.595789%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%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Northern Township, selected other county subdivisions in the United States, and entities that contain the Northern Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonNorthern TownshipNAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoZIP Code 56601ZIP 56601TucsonTown of HempsteadHempsteadTampaBemidji Public School DistrictBemidjiMiamiNortheast 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 VegasMilwaukeeSan 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%32,61132.6k47.315289%7.315289%7.3%2006.889819%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%82,18982.2k164.473798%4.473798%4.5%9284.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.123711%4.123711%4.1%9764.025531%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%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Northern Township, selected other county subdivisions in the United States, and entities that contain the Northern Township
Female
Male
1x0x1xFM#Bemidji AreaBeltramiBemidjiZIP 566011, 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…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl PasoN-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-1.000000x1.469885x1.469885x1.47x6.391%6.39%9.393%9.39%-1.000000x-1.000000x1.455337x1.455337x1.46x6.164%6.16%8.971%8.97%-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%36-1.013004x-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%50-1.281997x-1.281997x1.28x1.000000x1.000000x8.912%8.91%6.952%6.95%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Northern Township, selected other county subdivisions in the United States, and entities that contain the Northern Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthNOrlandoPhoenixTucson1, 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 AngelesAustinBaltimoreWashingtonQueensZIP 56601SW DallasBrooklynBemidji AreaBeltramiManhattanChicagoSeattleBostonBemidjiBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-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-1.000000x1.667376x1.667376x1.67x5.544%5.54%9.244%9.24%-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-1.000000x1.277530x1.277530x1.28x3.940%3.94%5.033%5.03%-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-1.000000x1.216791x1.216791x1.22x3.729%3.73%4.537%4.54%-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:
Beltrami
Metro Area:
Bemidji Area
ZIP Code:
56601
Unified School District:
Bemidji
Congressional Districts:
MN-7, MN-8
State Senate District:
MN-5
State House District:
MN-5A
Neighboring Cities:
Bemidji
Neighboring Townships:
Bemidji, Eckles, Frohn, Grant Valley, Liberty, Port Hope, Turtle Lake, Turtle River
Nearby Townships:
Durand, Helga, Jones, Lammers, Sugar Bush, Ten Lake