Educational Attainment in the Northland Township, Polk County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Polk County and the Northland Township
Northland Township
Polk County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma234.210526%35.716669%34.210526%34.2%3958.771930%55.355355%58.771930%58.8%677.017544%8.927976%7.017544%7.0%8
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 Polk County at large.
Scope: population of Polk County and the Northland Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-4.216918%-4.216918%-4.2%34.211%34.2%35.717%35.7%6.172076%6.172076%+6.2%58.772%58.8%55.355%55.4%-21.398263%-21.398263%-21.4%7.018%7.02%8.928%8.93%
% percentage with given level in the Northland Township
ref. percentage with given level in Polk 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 Polk County and the Northland Township
Northland Township
Polk County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.738834%00.000000%0.000000%0.0%1.072501%02.631579%5.362505%2.631579%2.6%325.438596%16.697650%25.438596%25.4%296.140351%11.845179%6.140351%6.1%725.438596%24.405358%25.438596%25.4%2933.333333%30.949998%33.333333%33.3%384.385965%5.229039%4.385965%4.4%52.631579%3.103103%2.631579%2.6%30.000000%0.000000%0.0%0.595834%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 Polk County at large.
Scope: population of Polk County and the Northland Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.739%0.74%-100.000000%-100.000000%-100.0%0.000%0%1.073%1.07%-50.926316%-50.926316%-50.9%2.632%2.63%5.363%5.36%52.348363%52.348363%+52.3%25.439%25.4%16.698%16.7%-48.161601%-48.161601%-48.2%6.140%6.14%11.845%11.8%4.233655%4.233655%+4.2%25.439%25.4%24.405%24.4%7.700601%7.700601%+7.7%33.333%33.3%30.950%30.9%-16.122919%-16.122919%-16.1%4.386%4.39%5.229%5.23%-15.195246%-15.195246%-15.2%2.632%2.63%3.103%3.10%-100.000000%-100.000000%-100.0%0.000%0%0.596%0.60%
% percentage with given level in the Northland Township
ref. percentage with given level in Polk 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 Polk County and the Northland Township
More Females More Males
Polk County
Northland Township
50%0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-54.761905%-18.920462%-54.761905%55%42.857%42.9%27.692%27.7%18.875740%11.392279%18.875740%19%53.061%53.1%63.077%63.1%126.153846%2.265700%126.153846%126%4.082%4.08%9.231%9.23%
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 Polk County and the Northland Township
More Females More Males
Polk County
Northland Township
1k%0k%1k%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-1,000.000000%-19.401608%-1,000.000000%> 1000%6.122%6.12%0.000%0%-23.809524%-19.236450%-23.809524%0k%28.571%28.6%23.077%23.1%-76.870748%-36.591360%-76.870748%0k%8.163%8.16%4.615%4.62%6.794872%13.490544%6.794872%0k%24.490%24.5%26.154%26.2%29.230769%9.766343%29.230769%0k%28.571%28.6%36.923%36.9%13.076923%7.245336%13.076923%0k%4.082%4.08%4.615%4.62%-18.636057%1,000.000000%1,000.000000%> 1000%0.000%0%4.615%4.62%
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 Polk County and the Northland Township
Northland Township
Polk County
0%20%40%60%80%100%B.X.Total65+45-6435-4425-3417.948718%10.760668%17.948718%17.9%73923.188406%15.590514%23.188406%23.2%1669100.000000%22.609500%100.000000%100.0%44100.000000%22.512405%100.000000%100.0%22
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 Polk County at large.
Scope: population of Polk County and the Northland Township
0%100%200%300%%ref.65+45-6435-4425-3466.799293%66.799293%66.8%17.949%17.9%10.761%10.8%48.734067%48.734067%48.7%23.188%23.2%15.591%15.6%342.291951%342.291951%342.3%100.000%100%22.610%22.6%344.199536%344.199536%344.2%100.000%100%22.512%22.5%
% percentage in the Northland Township with a Bachelor's degree
ref percentage in Polk 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 Polk County and the Northland Township
More Females More Males
Polk County
Northland Township
60%40%20%0%20%40%FM65+45-6435-4414.285714%41.709666%14.285714%14.3%16.667%16.7%19.048%19.0%-77.339901%-53.539057%-77.339901%77.3%31.034%31.0%17.500%17.5%0.000000%-19.291248%0.000000%0.0%100.000%100%100.000%100%
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 Polk County and the Northland Township
Northland Township
Polk County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2Total$36,667.000000$45,544.000000$36,667.000000$36.7k2925.439%25.4%$38,750.000000$35,723.000000$38,750.000000$38.8k3631.579%31.6%$11,250.000000$29,122.000000$11,250.000000$11.3k3833.333%33.3%$20,313.000000$35,922.000000$20,313.000000$20.3k114100.000%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 Polk County and the Northland Township
Female Male
Polk County
Northland Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome College$-29,375.000000$-48,304.000000$-37,257.000000$-77,679.000000$77.7k$29,375.000000$37,257.000000$17,942.000000$29,375.000000$29.4k1415$-16,875.000000$-26,883.000000$-16,875.000000$16.9k$16,875.000000$37,500.000000$26,883.000000$19,239.000000$54,375.000000$54.4k1620
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 Polk County and the Northland Township
Northland Township
Polk County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma376.000000%86.180049%76.000000%76.0%1973.076923%82.978383%73.076923%73.1%1987.500000%72.159888%87.500000%87.5%210.000000%0.000000%0.0%64.330544%0
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Polk County and the Northland Township
Female Male
Polk County
Northland Township
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%8%MFWhite1-4.081633%-7.474727%-4.081633%4.1%4.081633%5.149137%7.474727%0.296702%9.230769%9.2%62
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 Polk County and the Northland Township
Female Male
Polk County
Northland Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1-23.076923%-11.616954%-23.605195%-1.780285%-34.693878%34.7%23.076923%23.605195%23.076923%23.1%1517
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Grand Forks Area

There are 124 county subdivisions in the Grand Forks Area. This section compares the Northland Township to the 50 most populous county subdivisions in the Grand Forks Area and to those entities that contain or substantially overlap with the Northland Township. The least populous of the compared county subdivisions has a population of 187.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northland Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Northland Township
0%5%10%15%20%Count#Walle TownshipWalleMentorWinger TownshipWingerBlooming TownshipBloomingSletten TownshipSlettenErskineMcIntoshWingerFerry TownshipFerryUnited States of AmericaUnited StatesCrookstonFertileArvilla TownshipArvillaLowell TownshipLowellKnute TownshipKnuteFosstonNorthwoodLarimoreMidwestColumbia TownshipColumbiaWest North CentralEmeradoQueen TownshipQueenGrove Park-Tilden TownshipGrv Pk-TildenEden TownshipPolk CountyPolkGilbyRosebud TownshipRosebudManvelClimaxThompsonMinnesotaGrand Forks Metro AreaGrand ForksNorthland TownshipNorthlandGarfield TownshipGarfieldHuntsville TownshipHuntsvilleGrand ForksWoodside TownshipWoodside020400Tract 020400FisherGrand Forks TownshipGrand ForksBygland TownshipByglandEast Grand ForksE Grand ForksGodfrey TownshipGodfreyRye TownshipCrookston TownshipCrookstonBrandsvold TownshipBrandsvoldPleasant View TownshipPleasant VwUnion TownshipUnionFalconer TownshipFalconerGentilly TownshipGentillyFairfax TownshipFairfaxTurtle River TownshipTurtle RivAllendale TownshipAllendaleEsther TownshipEstherMekinock TownshipMekinockBrenna TownshipBrennaHegton TownshipHegton22.624434%22.624434%22.6%50122.047244%22.047244%22.0%28221.848739%21.848739%21.8%26319.211823%19.211823%19.2%39418.518519%18.518519%18.5%20517.816092%17.816092%17.8%62613.695652%13.695652%13.7%63713.559322%13.559322%13.6%16813.095238%13.095238%13.1%33913.020590%13.020590%13.0%27,818,38027.8M12.565217%12.565217%12.6%5781012.430168%12.430168%12.4%891112.209302%12.209302%12.2%211211.743772%11.743772%11.7%331311.611374%11.611374%11.6%491411.608775%11.608775%11.6%1271510.505051%10.505051%10.5%521610.503282%10.503282%10.5%961710.244520%10.244520%10.2%4,641,8354.64M10.216718%10.216718%10.2%33189.174633%9.174633%9.2%1,278,0511.28M9.154930%9.154930%9.2%26199.146341%9.146341%9.1%15209.128631%9.128631%9.1%22218.974359%8.974359%9.0%14228.927976%8.927976%8.9%1,8738.888889%8.888889%8.9%12238.870968%8.870968%8.9%22248.403361%8.403361%8.4%20258.333333%8.333333%8.3%15267.436919%7.436919%7.4%56277.376055%7.376055%7.4%270,121270k7.222431%7.222431%7.2%4,4287.017544%7.017544%7.0%86.571429%6.571429%6.6%23286.451613%6.451613%6.5%22296.196399%6.196399%6.2%1,958306.043956%6.043956%6.0%22315.966278%5.966278%6.0%925.836576%5.836576%5.8%15325.263158%5.263158%5.3%12335.181347%5.181347%5.2%10345.162215%5.162215%5.2%288354.858300%4.858300%4.9%12364.741379%4.741379%4.7%11374.444444%4.444444%4.4%14383.896104%3.896104%3.9%6393.472222%3.472222%3.5%5403.289474%3.289474%3.3%5413.056769%3.056769%3.1%7422.577320%2.577320%2.6%5432.409639%2.409639%2.4%4442.290076%2.290076%2.3%3452.187500%2.187500%2.2%7461.639344%1.639344%1.6%2471.084011%1.084011%1.1%12481.073345%1.073345%1.1%6490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northland Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Northland Township
0%10%20%30%40%50%Count#Grand Forks TownshipGrand ForksAllendale TownshipAllendaleHegton TownshipHegtonBrenna TownshipBrennaUnion TownshipUnionSletten TownshipSlettenGrand ForksMinnesotaBrandsvold TownshipBrandsvoldEden TownshipThompsonWoodside TownshipWoodsideFisherEast Grand ForksE Grand ForksUnited States of AmericaUnited StatesWest North CentralGrand Forks Metro AreaGrand ForksMekinock TownshipMekinockFerry TownshipFerryMidwestWalle TownshipWalleCrookston TownshipCrookstonNorthland TownshipNorthlandKnute TownshipKnuteBygland TownshipByglandNorthwoodRosebud TownshipRosebudPolk CountyPolk020400Tract 020400Pleasant View TownshipPleasant VwCrookstonFosstonTurtle River TownshipTurtle RivArvilla TownshipArvillaEsther TownshipEstherClimaxManvelGodfrey TownshipGodfreyGarfield TownshipGarfieldHuntsville TownshipHuntsvilleFairfax TownshipFairfaxFalconer TownshipFalconerLarimoreFertileQueen TownshipQueenBlooming TownshipBloomingEmeradoWingerGentilly TownshipGentillyGrove Park-Tilden TownshipGrv Pk-TildenColumbia TownshipColumbiaWinger TownshipWingerGilbyRye TownshipMcIntoshErskineLowell TownshipLowellMentor50.877193%50.877193%50.9%116142.812500%42.812500%42.8%137240.490798%40.490798%40.5%66340.429338%40.429338%40.4%226438.815789%38.815789%38.8%59535.185185%35.185185%35.2%38635.039084%35.039084%35.0%11,07211.1k734.240609%34.240609%34.2%1,253,9371.25M33.766234%33.766234%33.8%52833.333333%33.333333%33.3%52932.536521%32.536521%32.5%2451032.142857%32.142857%32.1%1171130.350195%30.350195%30.4%781230.328016%30.328016%30.3%1,6921330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.938508%29.938508%29.9%18,35518.4k29.177958%29.177958%29.2%3231428.968254%28.968254%29.0%731528.952816%28.952816%29.0%13,118,64213.1M28.506787%28.506787%28.5%631628.253968%28.253968%28.3%891728.070175%28.070175%28.1%3225.592417%25.592417%25.6%1081825.388601%25.388601%25.4%491925.252525%25.252525%25.3%1252025.000000%25.000000%25.0%622123.871491%23.871491%23.9%5,00823.865110%23.865110%23.9%36823.611111%23.611111%23.6%342223.434783%23.434783%23.4%1,0782323.034735%23.034735%23.0%2522422.900763%22.900763%22.9%302522.093023%22.093023%22.1%382621.311475%21.311475%21.3%262721.111111%21.111111%21.1%382821.008403%21.008403%21.0%502920.647773%20.647773%20.6%513020.571429%20.571429%20.6%723119.648094%19.648094%19.6%673219.277108%19.277108%19.3%323317.030568%17.030568%17.0%393416.739606%16.739606%16.7%1533516.340782%16.340782%16.3%1173615.853659%15.853659%15.9%263715.763547%15.763547%15.8%323815.492958%15.492958%15.5%443915.254237%15.254237%15.3%184014.948454%14.948454%14.9%294114.937759%14.937759%14.9%364213.622291%13.622291%13.6%444313.445378%13.445378%13.4%164413.333333%13.333333%13.3%184512.500000%12.500000%12.5%29469.130435%9.130435%9.1%42478.045977%8.045977%8.0%28487.829181%7.829181%7.8%22494.724409%4.724409%4.7%650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Northland Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Northland Township
0%2%4%6%8%Count#Walle TownshipWalleGrand Forks TownshipGrand ForksSletten TownshipSlettenWoodside TownshipWoodsideGrand ForksMinnesotaUnited States of AmericaUnited StatesFerry TownshipFerryGrand Forks Metro AreaGrand ForksWest North CentralMidwestColumbia TownshipColumbiaFertileCrookstonQueen TownshipQueenFairfax TownshipFairfaxTurtle River TownshipTurtle RivCrookston TownshipCrookstonMekinock TownshipMekinockGrove Park-Tilden TownshipGrv Pk-TildenRosebud TownshipRosebudUnion TownshipUnionFisherEast Grand ForksE Grand ForksPolk CountyPolkFosstonThompsonManvelHuntsville TownshipHuntsvilleErskinePleasant View TownshipPleasant Vw020400Tract 020400Falconer TownshipFalconerBrenna TownshipBrennaKnute TownshipKnuteGentilly TownshipGentillyGarfield TownshipGarfieldEsther TownshipEstherGodfrey TownshipGodfreyLarimoreBrandsvold TownshipBrandsvoldNorthwoodClimaxNorthland TownshipNorthlandMcIntoshAllendale TownshipAllendaleLowell TownshipLowellRye TownshipEmeradoBygland TownshipByglandBlooming TownshipBloomingEden TownshipWingerHegton TownshipHegtonArvilla TownshipArvillaMentorGilbyWinger TownshipWinger9.049774%9.049774%9.0%2016.578947%6.578947%6.6%1526.481481%6.481481%6.5%735.219780%5.219780%5.2%1944.436849%4.436849%4.4%1,40253.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.174603%3.174603%3.2%863.105580%3.105580%3.1%1,9042.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.786378%2.786378%2.8%972.513966%2.513966%2.5%1882.500000%2.500000%2.5%11592.439024%2.439024%2.4%4102.409639%2.409639%2.4%4112.290076%2.290076%2.3%3122.222222%2.222222%2.2%7132.168022%2.168022%2.2%24142.074689%2.074689%2.1%5152.016129%2.016129%2.0%5161.973684%1.973684%2.0%3171.945525%1.945525%1.9%5181.864133%1.864133%1.9%104191.811335%1.811335%1.8%3801.736746%1.736746%1.7%19201.726428%1.726428%1.7%13211.680672%1.680672%1.7%4221.466276%1.466276%1.5%5231.436782%1.436782%1.4%5241.388889%1.388889%1.4%2251.361868%1.361868%1.4%211.310044%1.310044%1.3%3261.252236%1.252236%1.3%7271.184834%1.184834%1.2%5281.030928%1.030928%1.0%2290.857143%0.857143%0.9%3300.819672%0.819672%0.8%1310.809717%0.809717%0.8%2320.765864%0.765864%0.8%7330.649351%0.649351%0.6%1340.606061%0.606061%0.6%3350.555556%0.555556%0.6%1360.000000%0.000000%0.0%00.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Northland Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Northland Township
Female
Male
10x5x0x5x10xFM#Grand ForksFalconerUnionGarfieldManvelRosebudWoodsideBloomingFerryFairfaxNorthwoodFisherNorthlandRye TownshipKnuteWingerColumbiaQueenGodfreyClimaxTract 020400ThompsonWalleErskineMcIntoshWingerWest North CentralMinnesotaMidwestUnited StatesGrv Pk-TildenPolkGrand ForksBrandsvoldCrookstonMentorHuntsvilleE Grand ForksGrand ForksLowellFosstonLarimoreEden TownshipFertileSlettenAllendaleGentillyMekinockByglandArvillaCrookstonEmeradoGilbyBrennaPleasant VwTurtle RivEsther-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.619%10.6%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.796%6.80%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.556%0.56%12.941%12.9%4-1.000000x-1.000000x9.307692x9.307692x9.31x1.653%1.65%15.385%15.4%5-1.000000x-1.000000x4.218750x4.218750x4.22x3.333%3.33%14.063%14.1%6-1.000000x-1.000000x3.900000x3.900000x3.90x2.367%2.37%9.231%9.23%7-1.000000x-1.000000x3.714286x3.714286x3.71x7.692%7.69%28.571%28.6%8-1.000000x-1.000000x2.796053x2.796053x2.80x6.723%6.72%18.797%18.8%9-1.000000x-1.000000x2.595506x2.595506x2.60x1.299%1.30%3.371%3.37%10-1.000000x-1.000000x2.552569x2.552569x2.55x6.204%6.20%15.837%15.8%11-1.000000x-1.000000x2.485185x2.485185x2.49x3.279%3.28%8.148%8.15%12-1.000000x-1.000000x2.261538x2.261538x2.26x4.082%4.08%9.231%9.23%-1.000000x-1.000000x2.195122x2.195122x2.20x3.333%3.33%7.317%7.32%13-1.000000x-1.000000x2.082143x2.082143x2.08x7.547%7.55%15.714%15.7%14-1.000000x-1.000000x1.856250x1.856250x1.86x9.259%9.26%17.188%17.2%15-1.000000x-1.000000x1.850318x1.850318x1.85x7.229%7.23%13.376%13.4%16-1.000000x-1.000000x1.727273x1.727273x1.73x6.579%6.58%11.364%11.4%17-1.000000x-1.000000x1.714286x1.714286x1.71x3.509%3.51%6.015%6.02%18-1.000000x-1.000000x1.639535x1.639535x1.64x6.383%6.38%10.465%10.5%19-1.000000x-1.000000x1.619920x1.619920x1.62x4.502%4.50%7.293%7.29%-1.000000x-1.000000x1.469495x1.469495x1.47x6.037%6.04%8.871%8.87%20-1.000000x-1.000000x1.382609x1.382609x1.38x18.868%18.9%26.087%26.1%21-1.000000x-1.000000x1.262069x1.262069x1.26x15.847%15.8%20.000%20.0%22-1.000000x-1.000000x1.239697x1.239697x1.24x12.351%12.4%15.311%15.3%23-1.000000x-1.000000x1.200000x1.200000x1.20x19.608%19.6%23.529%23.5%24-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.059829x1.059829x1.06x8.871%8.87%9.402%9.40%25-1.000000x-1.000000x1.022657x1.022657x1.02x8.829%8.83%9.029%9.03%-1.037897x-1.037897x1.04x1.000000x1.000000x7.358%7.36%7.089%7.09%-1.081081x-1.081081x1.08x1.000000x1.000000x4.054%4.05%3.750%3.75%26-1.083868x-1.083868x1.08x1.000000x1.000000x13.074%13.1%12.062%12.1%27-1.100592x-1.100592x1.10x1.000000x1.000000x23.077%23.1%20.968%21.0%28-1.118012x-1.118012x1.12x1.000000x1.000000x6.832%6.83%6.111%6.11%29-1.165173x-1.165173x1.17x1.000000x1.000000x5.529%5.53%4.746%4.75%30-1.190445x-1.190445x1.19x1.000000x1.000000x6.744%6.74%5.665%5.67%31-1.293086x-1.293086x1.29x1.000000x1.000000x13.725%13.7%10.615%10.6%32-1.315458x-1.315458x1.32x1.000000x1.000000x13.022%13.0%9.899%9.90%33-1.322553x-1.322553x1.32x1.000000x1.000000x11.915%11.9%9.009%9.01%34-1.403509x-1.403509x1.40x1.000000x1.000000x10.526%10.5%7.500%7.50%35-1.458953x-1.458953x1.46x1.000000x1.000000x14.545%14.5%9.970%9.97%36-1.485714x-1.485714x1.49x1.000000x1.000000x21.667%21.7%14.583%14.6%37-1.549550x-1.549550x1.55x1.000000x1.000000x2.703%2.70%1.744%1.74%38-1.883721x-1.883721x1.88x1.000000x1.000000x3.488%3.49%1.852%1.85%39-1.947300x-1.947300x1.95x1.000000x1.000000x1.512%1.51%0.776%0.78%40-2.508961x-2.508961x2.51x1.000000x1.000000x7.527%7.53%3.000%3.00%41-2.743902x-2.743902x2.74x1.000000x1.000000x18.293%18.3%6.667%6.67%42-3.249501x-3.249501x3.25x1.000000x1.000000x6.587%6.59%2.027%2.03%43-4.555556x-4.555556x4.56x1.000000x1.000000x16.667%16.7%3.659%3.66%44-5.227273x-5.227273x5.23x1.000000x1.000000x15.152%15.2%2.899%2.90%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.239%2.24%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.250%6.25%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.839%4.84%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.571%3.57%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

Educational Attainment by County Subdivision in Minnesota

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

No H.S. Diploma by County Subdivision#19

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northland Township, selected other county subdivisions in Minnesota, and entities that contain the Northland Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralPolk CountyPolkWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaGrand Forks Metro AreaGrand ForksOwatonnaCoon RapidsNorthland TownshipNorthlandRosevilleDuluthRochesterBurnsvilleHastings020400Tract 020400MankatoNew 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%1,81189.174633%9.174633%9.2%1,278,0511.28M8.927976%8.927976%8.9%1,8737.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.222431%7.222431%7.2%4,4287.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023177.017544%7.017544%7.0%86.821133%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%952225.966278%5.966278%6.0%925.855251%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#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northland Township, selected other county subdivisions in Minnesota, and entities that contain the Northland Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodGrand Forks Metro AreaGrand ForksBrooklyn ParkSt. CloudMidwestRamseyNorthland TownshipNorthlandHastingsOwatonnaFridleyCoon RapidsPolk CountyPolk020400Tract 020400AustinBrooklyn CenterBrooklyn CtrFaribault68.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.938508%29.938508%29.9%18,35518.4k29.516142%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%4,6534328.070175%28.070175%28.1%3228.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284625.993543%25.993543%26.0%11,19111.2k4723.871491%23.871491%23.9%5,00823.865110%23.865110%23.9%36821.410083%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#21

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 Northland Township, selected other county subdivisions in Minnesota, and entities that contain the Northland Township
0%2%4%6%8%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonGrand Forks Metro AreaGrand ForksWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavagePolk CountyPolkOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmington020400Tract 020400Elk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastingsNorthland TownshipNorthland11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968233.105580%3.105580%3.1%1,9042.978981%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%350371.811335%1.811335%1.8%3801.769443%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%209461.361868%1.361868%1.4%211.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.000000%0.000000%0.0%0
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#22

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 Northland Township, selected other county subdivisions in Minnesota, and entities that contain the Northland Township
Female
Male
1x0x1x2xFM#NorthlandFarmingtonTract 020400RamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevillePolkRosemountWinonaGrand ForksRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x2.261538x2.261538x2.26x4.082%4.08%9.231%9.23%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.619920x1.619920x1.62x4.502%4.50%7.293%7.29%-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%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%26-1.000000x-1.000000x1.022657x1.022657x1.02x8.829%8.83%9.029%9.03%-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%28-1.037897x-1.037897x1.04x1.000000x1.000000x7.358%7.36%7.089%7.09%-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#23

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northland Township, selected other county subdivisions in the Midwest, and entities that contain the Northland 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 TownshipLawrenceSioux FallsWest North CentralPolk CountyPolkCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaGrand Forks Metro AreaGrand ForksLincolnNorthland TownshipNorthlandWashington TownshipWashingtonOlatheFargoCedar Rapids020400Tract 020400York 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%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.927976%8.927976%8.9%1,8738.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.222431%7.222431%7.2%4,4287.092309%7.092309%7.1%11,88611.9k397.017544%7.017544%7.0%86.804680%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%5,099435.966278%5.966278%6.0%925.461095%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#24

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northland Township, selected other county subdivisions in the Midwest, and entities that contain the Northland Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralGrand Forks Metro AreaGrand ForksMidwestWichitaNorthland TownshipNorthlandSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthPolk CountyPolk020400Tract 020400MilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M29.938508%29.938508%29.9%18,35518.4k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.070175%28.070175%28.1%3227.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.871491%23.871491%23.9%5,00823.865110%23.865110%23.9%36823.517740%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#25

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 Northland Township, selected other county subdivisions in the Midwest, and entities that contain the Northland Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsGrand Forks Metro AreaGrand ForksLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandPolk CountyPolkToledoNorth TownshipNSterling HeightsSterling HtsKansas City020400Tract 020400DetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonNorthland TownshipNorthland17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.458748%3.458748%3.5%126,664127k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.105580%3.105580%3.1%1,9043.083448%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%4,911391.811335%1.811335%1.8%3801.642065%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%1,300431.361868%1.361868%1.4%211.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.000000%0.000000%0.0%0
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#26

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 Northland Township, selected other county subdivisions in the Midwest, and entities that contain the Northland Township
Female
Male
1x0x1x2xFM#NorthlandTract 020400Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipPolkSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborGrand ForksSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.261538x2.261538x2.26x4.082%4.08%9.231%9.23%-1.000000x-1.000000x1.619920x1.619920x1.62x4.502%4.50%7.293%7.29%-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-1.000000x1.022657x1.022657x1.02x8.829%8.83%9.029%9.03%-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%43-1.037897x-1.037897x1.04x1.000000x1.000000x7.358%7.36%7.089%7.09%-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#27

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Northland Township, selected other county subdivisions in the United States, and entities that contain the Northland 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 HarrisWashingtonAtlantaWest North CentralPolk CountyPolkSeattleNortheast TarrantNE TarrantMinnesotaGrand Forks Metro AreaGrand ForksNorthland TownshipNorthland020400Tract 020400PlanoSeattle 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%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.927976%8.927976%8.9%1,8738.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k7.222431%7.222431%7.2%4,4287.017544%7.017544%7.0%85.966278%5.966278%6.0%925.714681%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#28

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Northland Township, selected other county subdivisions in the United States, and entities that contain the Northland Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralGrand Forks Metro AreaGrand ForksBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoNorthland TownshipNorthlandEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthPolk CountyPolk020400Tract 020400Southwest 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%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.938508%29.938508%29.9%18,35518.4k29.719611%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%209,283209k3628.070175%28.070175%28.1%3227.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.871491%23.871491%23.9%5,00823.865110%23.865110%23.9%36823.764821%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#29

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 Northland Township, selected other county subdivisions in the United States, and entities that contain the Northland Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaGrand Forks Metro AreaGrand ForksPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeePolk CountyPolkSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronx020400Tract 020400DetroitNorthland TownshipNorthland12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.105580%3.105580%3.1%1,9043.010825%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%7,455441.811335%1.811335%1.8%3801.807306%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%15,06415.1k491.361868%1.361868%1.4%211.318660%1.318660%1.3%5,693500.000000%0.000000%0.0%0
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#30

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 Northland Township, selected other county subdivisions in the United States, and entities that contain the Northland Township
Female
Male
1x0x1x2xFM#NorthlandTract 0204001, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoPolkBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiGrand ForksManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.261538x2.261538x2.26x4.082%4.08%9.231%9.23%-1.000000x-1.000000x1.619920x1.619920x1.62x4.502%4.50%7.293%7.29%-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-1.000000x1.022657x1.022657x1.02x8.829%8.83%9.029%9.03%-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%42-1.037897x-1.037897x1.04x1.000000x1.000000x7.358%7.36%7.089%7.09%-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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:
Polk
Metro Area:
Grand Forks Area
ZIP Codes:
56721, 56762
Unified School Districts:
East Grand Forks, Warren-Alvarado-Oslo
Congressional District:
MN-7
State Senate District:
MN-1
State House District:
MN-1B
Neighboring Townships:
Esther, Farley, Grand Forks, Higdem, Sandsville, Sullivan, Tabor
Nearby Townships:
Boxville, Falconer, Ferry, Keystone, Rye, Vega