Educational Attainment in the Michigan Township, Grand Forks County, North Dakota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Grand Forks County and the Michigan Township
Michigan Township
Grand Forks County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma225.000000%45.737664%25.000000%25.0%2070.000000%47.927101%70.000000%70.0%565.000000%6.335234%5.000000%5.0%4
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 Grand Forks County at large.
Scope: population of Grand Forks County and the Michigan Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-45.340453%-45.340453%-45.3%25.000%25.0%45.738%45.7%46.055150%46.055150%+46.1%70.000%70.0%47.927%47.9%-21.076321%-21.076321%-21.1%5.000%5.00%6.335%6.34%
% percentage with given level in the Michigan Township
ref. percentage with given level in Grand Forks 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 Grand Forks County and the Michigan Township
Michigan Township
Grand Forks County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.981155%00.000000%0.000000%0.0%1.797669%06.250000%7.428713%6.250000%6.3%518.750000%21.886933%18.750000%18.8%150.000000%0.000000%0.0%12.643194%032.500000%22.806844%32.500000%32.5%2637.500000%25.120258%37.500000%37.5%305.000000%4.185470%5.000000%5.0%40.000000%0.000000%0.0%1.524919%00.000000%0.000000%0.0%0.624845%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 Grand Forks County at large.
Scope: population of Grand Forks County and the Michigan 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%1.981%1.98%-100.000000%-100.000000%-100.0%0.000%0%1.798%1.80%-15.866989%-15.866989%-15.9%6.250%6.25%7.429%7.43%-14.332446%-14.332446%-14.3%18.750%18.8%21.887%21.9%-100.000000%-100.000000%-100.0%0.000%0%12.643%12.6%42.501087%42.501087%+42.5%32.500%32.5%22.807%22.8%49.281907%49.281907%+49.3%37.500%37.5%25.120%25.1%19.460900%19.460900%+19.5%5.000%5.00%4.185%4.19%-100.000000%-100.000000%-100.0%0.000%0%1.525%1.52%-100.000000%-100.000000%-100.0%0.000%0%0.625%0.62%
% percentage with given level in the Michigan Township
ref. percentage with given level in Grand Forks 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 Grand Forks County and the Michigan Township
More Females More Males
Grand Forks County
Michigan Township
1,000%500%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-9.000660%5.167959%5.167959%5%24.324%24.3%25.581%25.6%14.728682%9.650194%14.728682%15%64.865%64.9%74.419%74.4%-1,000.000000%-7.634821%-1,000.000000%> 1000%10.811%10.8%0.000%0%
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 Grand Forks County and the Michigan Township
More Females More Males
Grand Forks County
Michigan Township
1,000%500%0%FMMaster's1Bachelor's1Some CollegeHigh School2Some H.S.3-74.324324%-23.271075%-74.324324%74%8.108%8.11%4.651%4.65%-15.944498%29.069767%29.069767%29%16.216%16.2%20.930%20.9%0.387597%8.298461%0.387597%0%32.432%32.4%32.558%32.6%29.069767%10.892986%29.069767%29%32.432%32.4%41.860%41.9%-1,000.000000%-17.185994%-1,000.000000%> 1000%10.811%10.8%0.000%0%
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 Grand Forks County and the Michigan Township
Michigan Township
Grand Forks County
0%10%20%30%40%B.X.Total65+45-6435-4425-3412.500000%17.316950%12.500000%12.5%32420.000000%20.129171%20.000000%20.0%63019.047619%24.125148%19.047619%19.0%42140.000000%26.237532%40.000000%40.0%25
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 Grand Forks County at large.
Scope: population of Grand Forks County and the Michigan Township
20%0%20%40%%ref.65+45-6435-4425-34-27.816386%-27.816386%27.8%12.500%12.5%17.317%17.3%-0.641711%-0.641711%0.6%20.000%20.0%20.129%20.1%-21.046624%-21.046624%21.0%19.048%19.0%24.125%24.1%52.453361%52.453361%52.5%40.000%40.0%26.238%26.2%
% percentage in the Michigan Township with a Bachelor's degree
ref percentage in Grand Forks 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 Grand Forks County and the Michigan Township
More Females More Males
Grand Forks County
Michigan Township
1,000%500%0%500%1,000%FM65+45-6435-4425-34-8.017686%1,000.000000%1,000.000000%> 1000%0.000%0%27.273%27.3%-16.666667%-12.410613%-16.666667%16.7%22.222%22.2%19.048%19.0%-1,000.000000%-36.627180%-1,000.000000%> 1000%33.333%33.3%0.000%0%-21.267640%1,000.000000%1,000.000000%> 1000%0.000%0%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 Grand Forks County and the Michigan Township
Michigan Township
Grand Forks County
$0k$10k$20k$30k$40k$50kCount%Some CollegeH.S. Diploma2Total$50,625.000000$34,553.000000$50,625.000000$50.6k2632.500%32.5%$21,750.000000$33,177.000000$21,750.000000$21.8k3037.500%37.5%$41,250.000000$37,234.000000$41,250.000000$41.3k80100.000%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 Grand Forks County and the Michigan Township
Female Male
Grand Forks County
Michigan Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMTotal$-25,833.000000$-30,518.000000$-25,833.000000$25.8k$25,833.000000$30,105.000000$30,518.000000$12,762.000000$55,938.000000$55.9k3743
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 Grand Forks County and the Michigan Township
Michigan Township
Grand Forks County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%86.823696%100.000000%100.0%1784.615385%84.573606%84.615385%84.6%2269.230769%76.201055%69.230769%69.2%90.000000%0.000000%0.0%68.785047%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 Grand Forks County and the Michigan Township
Female Male
Grand Forks County
Michigan Township
Shaded bar tips show excess over facing bar.
10%8%6%4%2%0%2%4%MFWhite1-0.000000%-10.810811%-4.707737%-10.810811%10.8%0.000000%4.707737%0.424602%0.000000%0.0%04
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 Grand Forks County and the Michigan Township
Female Male
Grand Forks County
Michigan Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1-24.324324%-32.567838%-3.720032%-24.324324%24.3%24.324324%1.257071%32.567838%25.581395%25.6%119
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 Michigan Township to the 50 most populous county subdivisions in the Grand Forks Area and to those entities that contain or substantially overlap with the Michigan 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 Michigan Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Michigan 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 TownshipGilbyRosebud TownshipRosebudManvelClimaxNorth DakotaThompsonGrand Forks Metro AreaGrand Forks011700Tract 011700Garfield TownshipGarfieldHuntsville TownshipHuntsvilleGrand Forks CountyGrand ForksGrand ForksWoodside TownshipWoodsideFisherGrand Forks TownshipGrand ForksBygland TownshipByglandEast Grand ForksE Grand ForksMichigan TownshipMichiganGodfrey 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%14228.888889%8.888889%8.9%12238.870968%8.870968%8.9%22248.403361%8.403361%8.4%20258.333333%8.333333%8.3%15267.963451%7.963451%8.0%38,03438.0k7.436919%7.436919%7.4%56277.222431%7.222431%7.2%4,4286.658323%6.658323%6.7%2666.571429%6.571429%6.6%23286.451613%6.451613%6.5%22296.335234%6.335234%6.3%2,5556.196399%6.196399%6.2%1,958306.043956%6.043956%6.0%22315.836576%5.836576%5.8%15325.263158%5.263158%5.3%12335.181347%5.181347%5.2%10345.162215%5.162215%5.2%288355.000000%5.000000%5.0%44.858300%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 Michigan Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Michigan Township
0%10%20%30%40%50%Count#Grand Forks TownshipGrand ForksAllendale TownshipAllendaleHegton TownshipHegtonBrenna TownshipBrennaUnion TownshipUnion011700Tract 011700Sletten TownshipSlettenGrand ForksBrandsvold TownshipBrandsvoldEden TownshipGrand Forks CountyGrand ForksThompsonWoodside TownshipWoodsideFisherEast Grand ForksE Grand ForksUnited States of AmericaUnited StatesWest North CentralGrand Forks Metro AreaGrand ForksMekinock TownshipMekinockFerry TownshipFerryMidwestWalle TownshipWalleCrookston TownshipCrookstonNorth DakotaKnute TownshipKnuteBygland TownshipByglandNorthwoodMichigan TownshipMichiganRosebud TownshipRosebudPleasant 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%59535.219024%35.219024%35.2%1,40735.185185%35.185185%35.2%38635.039084%35.039084%35.0%11,07211.1k733.766234%33.766234%33.8%52833.333333%33.333333%33.3%52933.094471%33.094471%33.1%13,34713.3k32.536521%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%891728.172535%28.172535%28.2%134,554135k25.592417%25.592417%25.6%1081825.388601%25.388601%25.4%491925.252525%25.252525%25.3%1252025.000000%25.000000%25.0%2025.000000%25.000000%25.0%622123.611111%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 Michigan Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Michigan Township
0%2%4%6%8%Count#Walle TownshipWalleGrand Forks TownshipGrand ForksSletten TownshipSlettenWoodside TownshipWoodsideGrand ForksGrand Forks CountyGrand ForksUnited States of AmericaUnited StatesFerry TownshipFerryGrand Forks Metro AreaGrand ForksWest North CentralMidwestColumbia TownshipColumbiaFertileCrookstonQueen TownshipQueenNorth DakotaFairfax TownshipFairfaxTurtle River TownshipTurtle RivCrookston TownshipCrookstonMekinock TownshipMekinockGrove Park-Tilden TownshipGrv Pk-Tilden011700Tract 011700Rosebud TownshipRosebudUnion TownshipUnionFisherEast Grand ForksE Grand ForksFosstonThompsonManvelHuntsville TownshipHuntsvilleErskinePleasant View TownshipPleasant VwFalconer TownshipFalconerBrenna TownshipBrennaKnute TownshipKnuteGentilly TownshipGentillyGarfield TownshipGarfieldEsther TownshipEstherGodfrey TownshipGodfreyLarimoreBrandsvold TownshipBrandsvoldNorthwoodClimaxMichigan TownshipMichiganMcIntoshAllendale 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%1,40253.778825%3.778825%3.8%1,5243.336158%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%4102.435475%2.435475%2.4%11,63211.6k2.409639%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%5152.052566%2.052566%2.1%822.016129%2.016129%2.0%5161.973684%1.973684%2.0%3171.945525%1.945525%1.9%5181.864133%1.864133%1.9%104191.736746%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%2251.310044%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 Michigan Township, selected other county subdivisions in the Grand Forks Area, and entities that contain the Michigan Township
Female
Male
10x5x0x5x10xFM#Grand ForksFalconerUnionGarfieldManvelRosebudWoodsideBloomingFerryFairfaxNorthwoodFisherRye TownshipKnuteWingerColumbiaQueenGodfreyClimaxThompsonTract 011700WalleErskineMcIntoshNorth DakotaWingerWest North CentralMidwestUnited StatesGrv Pk-TildenGrand ForksGrand ForksBrandsvoldCrookstonMentorHuntsvilleE Grand ForksGrand ForksLowellFosstonLarimoreEden TownshipFertileSlettenAllendaleGentillyMekinockByglandArvillaCrookstonEmeradoGilbyMichiganBrennaPleasant 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-1.000000x2.195122x2.195122x2.20x3.333%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-1.000000x1.469495x1.469495x1.47x6.037%6.04%8.871%8.87%20-1.000000x-1.000000x1.436961x1.436961x1.44x5.448%5.45%7.829%7.83%-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-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-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-1.000000x1.127915x1.127915x1.13x9.647%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%25-1.037897x-1.037897x1.04x1.000000x1.000000x7.358%7.36%7.089%7.09%-1.076348x-1.076348x1.08x1.000000x1.000000x6.572%6.57%6.106%6.11%-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> 10.0x1.000000x1.000000x10.811%10.8%0.000%0%-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 North Dakota

There are 1,763 county subdivisions in North Dakota. This section compares the Michigan Township to the 50 most populous county subdivisions in North Dakota and to those entities that contain or substantially overlap with the Michigan Township. The least populous of the compared county subdivisions has a population of 1,474.

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 Michigan Township, selected other county subdivisions in North Dakota, and entities that contain the Michigan Township
0%5%10%15%20%Count#Fort TottenHarveyNorth RoletteTurtle MountainTurtle MtnFort YatesNorth SiouxOakesGraftonUnited States of AmericaUnited StatesBowmanRugbyHillsboroDevils LakeCarringtonValley CityLangdonMidwestBeulahJamestownDickinsonWest North CentralWahpetonNew TownFort BertholdHarrison TownshipHarrisonBottineauLisbonNorth DakotaMandanHazenTatman TownshipTatmanBismarckGrand Forks Metro AreaGrand ForksDickinson NorthDickinson NWillistonNedrose TownshipNedroseMinot011700Tract 011700Grand Forks CountyGrand ForksGrand ForksApple Creek TownshipApple CrkFargoLincolnMayvilleWatford CityStanleyEast MortonMichigan TownshipMichiganMandanWest FargoHoraceCasseltonGibbs TownshipGibbsWaterford TownshipWaterfordHay Creek TownshipHay CrkLincoln-Fort RiceBurnt Creek-RiverviewBurnt Crk-RiverviewMekinock TownshipMekinock23.289474%23.289474%23.3%177120.692194%20.692194%20.7%281217.218225%17.218225%17.2%359316.925287%16.925287%16.9%589416.347826%16.347826%16.3%188515.766423%15.766423%15.8%108613.894888%13.894888%13.9%193713.421679%13.421679%13.4%395813.020590%13.020590%13.0%27,818,38027.8M12.964564%12.964564%13.0%150912.516945%12.516945%12.5%2771011.692845%11.692845%11.7%1341111.463705%11.463705%11.5%5781211.317009%11.317009%11.3%1711310.545611%10.545611%10.5%4891410.534125%10.534125%10.5%1421510.244520%10.244520%10.2%4,641,8354.64M10.240964%10.240964%10.2%2381610.188895%10.188895%10.2%1,068179.341662%9.341662%9.3%1,331189.174633%9.174633%9.2%1,278,0511.28M9.167205%9.167205%9.2%426199.077381%9.077381%9.1%122208.935611%8.935611%8.9%68218.784177%8.784177%8.8%151228.591282%8.591282%8.6%136238.281573%8.281573%8.3%120247.963451%7.963451%8.0%38,03438.0k7.836290%7.836290%7.8%1,122257.608696%7.608696%7.6%133267.274590%7.274590%7.3%71277.263281%7.263281%7.3%3,425287.222431%7.222431%7.2%4,4287.084469%7.084469%7.1%156297.076386%7.076386%7.1%1,095307.053395%7.053395%7.1%107316.809689%6.809689%6.8%2,041326.658323%6.658323%6.7%2666.335234%6.335234%6.3%2,5556.196399%6.196399%6.2%1,958336.142241%6.142241%6.1%114346.055621%6.055621%6.1%4,270355.963529%5.963529%6.0%121365.716963%5.716963%5.7%61375.670471%5.670471%5.7%159385.256242%5.256242%5.3%80395.124378%5.124378%5.1%103405.000000%5.000000%5.0%44.337539%4.337539%4.3%55414.320296%4.320296%4.3%887424.259043%4.259043%4.3%73434.102564%4.102564%4.1%64443.098592%3.098592%3.1%44452.619693%2.619693%2.6%29461.895551%1.895551%1.9%49471.573677%1.573677%1.6%33481.125083%1.125083%1.1%17491.084011%1.084011%1.1%1250
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 Michigan Township, selected other county subdivisions in North Dakota, and entities that contain the Michigan Township
0%10%20%30%40%Count#Lincoln-Fort RiceBurnt Creek-RiverviewBurnt Crk-RiverviewHoraceHay Creek TownshipHay CrkFargoWest FargoMayville011700Tract 011700Apple Creek TownshipApple CrkGrand ForksBismarckWaterford TownshipWaterfordGrand Forks CountyGrand ForksCasseltonDickinson NorthDickinson NUnited States of AmericaUnited StatesWest North CentralGrand Forks Metro AreaGrand ForksMekinock TownshipMekinockMidwestHarrison TownshipHarrisonNorth DakotaMandanMinotGibbs TownshipGibbsTatman TownshipTatmanHillsboroLincolnMandanStanleyTurtle MountainTurtle MtnMichigan TownshipMichiganCarringtonJamestownDickinsonValley CityBowmanHazenOakesWatford CityWillistonWahpetonNew TownHarveyBottineauEast MortonNedrose TownshipNedroseLangdonDevils LakeFort BertholdRugbyFort YatesBeulahNorth SiouxNorth RoletteLisbonGraftonFort Totten43.156891%43.156891%43.2%905142.091330%42.091330%42.1%636239.439907%39.439907%39.4%676338.916828%38.916828%38.9%1,006438.241175%38.241175%38.2%26,96527.0k536.554479%36.554479%36.6%7,505635.520150%35.520150%35.5%379735.219024%35.219024%35.2%1,40735.183190%35.183190%35.2%653835.039084%35.039084%35.0%11,07211.1k934.505355%34.505355%34.5%16,27116.3k1034.236676%34.236676%34.2%3791133.094471%33.094471%33.1%13,34713.3k32.500000%32.500000%32.5%5071231.834696%31.834696%31.8%7011330.315023%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%3231428.952816%28.952816%29.0%13,118,64213.1M28.388598%28.388598%28.4%4881528.172535%28.172535%28.2%134,554135k27.727336%27.727336%27.7%3,9701627.045242%27.045242%27.0%8,1061726.549296%26.549296%26.5%3771826.331967%26.331967%26.3%2571926.265271%26.265271%26.3%3012025.874815%25.874815%25.9%5252125.867508%25.867508%25.9%3282225.427070%25.427070%25.4%3872325.287356%25.287356%25.3%8802425.000000%25.000000%25.0%2024.751820%24.751820%24.8%3742524.699485%24.699485%24.7%2,5892624.698203%24.698203%24.7%3,5192724.412336%24.412336%24.4%1,1322824.373379%24.373379%24.4%2822924.141876%24.141876%24.1%4223023.974082%23.974082%24.0%3333123.930100%23.930100%23.9%6713223.859377%23.859377%23.9%3,6923321.863568%21.863568%21.9%1,0163421.577381%21.577381%21.6%2903521.060383%21.060383%21.1%2863620.404296%20.404296%20.4%3233720.248756%20.248756%20.2%4073820.105471%20.105471%20.1%3053918.694362%18.694362%18.7%2524018.187227%18.187227%18.2%9174117.082786%17.082786%17.1%1304216.357885%16.357885%16.4%3624316.347826%16.347826%16.3%1884415.920826%15.920826%15.9%3704515.912409%15.912409%15.9%1094615.635492%15.635492%15.6%3264714.354727%14.354727%14.4%2084813.081889%13.081889%13.1%385498.684211%8.684211%8.7%6650
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 Michigan Township, selected other county subdivisions in North Dakota, and entities that contain the Michigan Township
0%1%2%3%4%5%Count#Apple Creek TownshipApple CrkBurnt Creek-RiverviewBurnt Crk-RiverviewGrand ForksMandanFargoHay Creek TownshipHay CrkGrand Forks CountyGrand ForksOakesDickinson NorthDickinson NBismarckUnited States of AmericaUnited StatesGrand Forks Metro AreaGrand ForksMayvilleWest North CentralMidwestWest FargoFort BertholdStanleyCasseltonDickinsonLincoln-Fort RiceHoraceNorth DakotaValley CityMandanWillistonMekinock TownshipMekinock011700Tract 011700Harrison TownshipHarrisonEast MortonWahpetonMinotWatford CityFort YatesGibbs TownshipGibbsBeulahDevils LakeNew TownJamestownLisbonTatman TownshipTatmanRugbyLincolnBottineauNorth SiouxHillsboroNedrose TownshipNedroseGraftonNorth RoletteFort TottenBowmanHarveyTurtle MountainTurtle MtnCarringtonLangdonHazenMichigan TownshipMichiganWaterford TownshipWaterford5.280172%5.280172%5.3%9814.831238%4.831238%4.8%7324.436849%4.436849%4.4%1,40234.416404%4.416404%4.4%5644.336789%4.336789%4.3%3,05853.907157%3.907157%3.9%10163.778825%3.778825%3.8%1,5243.743701%3.743701%3.7%5273.496821%3.496821%3.5%7783.437599%3.437599%3.4%1,62193.336158%3.336158%3.3%7,127,6737.13M3.105580%3.105580%3.1%1,9043.092784%3.092784%3.1%33102.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.829867%2.829867%2.8%581112.759527%2.759527%2.8%21122.628121%2.628121%2.6%40132.564103%2.564103%2.6%40142.484559%2.484559%2.5%354152.479733%2.479733%2.5%52162.450408%2.450408%2.5%42172.435475%2.435475%2.4%11,63211.6k2.350658%2.350658%2.4%109182.213996%2.213996%2.2%317192.177847%2.177847%2.2%337202.168022%2.168022%2.2%24212.052566%2.052566%2.1%821.977894%1.977894%2.0%34221.940299%1.940299%1.9%39231.936733%1.936733%1.9%90241.898439%1.898439%1.9%569251.854494%1.854494%1.9%52261.652174%1.652174%1.7%19271.619718%1.619718%1.6%23281.592083%1.592083%1.6%37291.566839%1.566839%1.6%79301.562500%1.562500%1.6%21311.469185%1.469185%1.5%154321.449275%1.449275%1.4%21331.434426%1.434426%1.4%14341.355626%1.355626%1.4%30351.330705%1.330705%1.3%27361.263424%1.263424%1.3%20371.167883%1.167883%1.2%8381.134380%1.134380%1.1%13390.988794%0.988794%1.0%15400.985389%0.985389%1.0%29410.959233%0.959233%1.0%20420.921053%0.921053%0.9%7430.864304%0.864304%0.9%10440.810015%0.810015%0.8%11450.775862%0.775862%0.8%27460.727995%0.727995%0.7%11470.667656%0.667656%0.7%9480.286041%0.286041%0.3%5490.000000%0.000000%0.0%00.000000%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#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 Michigan Township, selected other county subdivisions in North Dakota, and entities that contain the Michigan Township
Female
Male
10x5x0x5x10xFM#Hay CrkLincoln-Fort RiceGibbsWaterfordGraftonDickinson NNew TownHoraceEast MortonTatmanApple CrkJamestownWest FargoWahpetonDevils LakeTract 011700HarrisonLangdonOakesFort TottenTurtle MtnBowmanMandanNorth DakotaRugbyFargoValley CityNorth SiouxNorth RoletteWest North CentralMidwestBismarckUnited StatesDickinsonHillsboroBottineauHarveyFort BertholdGrand ForksWillistonGrand ForksMinotWatford CityStanleyGrand ForksBurnt Crk-RiverviewNedroseLisbonHazenFort YatesCarringtonBeulahCasseltonMayvilleMekinockLincolnMandanMichigan-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.606%3.61%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.202%0.20%2.800%2.80%2-1.000000x-1.000000x6.209670x6.209670x6.21x0.853%0.85%5.300%5.30%3-1.000000x-1.000000x4.653667x4.653667x4.65x0.988%0.99%4.600%4.60%4-1.000000x-1.000000x2.731209x2.731209x2.73x7.262%7.26%19.834%19.8%5-1.000000x-1.000000x2.690088x2.690088x2.69x3.803%3.80%10.231%10.2%6-1.000000x-1.000000x2.563883x2.563883x2.56x5.038%5.04%12.917%12.9%7-1.000000x-1.000000x2.255349x2.255349x2.26x2.570%2.57%5.797%5.80%8-1.000000x-1.000000x2.202686x2.202686x2.20x3.141%3.14%6.919%6.92%9-1.000000x-1.000000x2.140078x2.140078x2.14x4.545%4.55%9.728%9.73%10-1.000000x-1.000000x1.780041x1.780041x1.78x4.348%4.35%7.739%7.74%11-1.000000x-1.000000x1.692780x1.692780x1.69x7.561%7.56%12.800%12.8%12-1.000000x-1.000000x1.676716x1.676716x1.68x3.219%3.22%5.398%5.40%13-1.000000x-1.000000x1.662931x1.662931x1.66x6.902%6.90%11.478%11.5%14-1.000000x-1.000000x1.464176x1.464176x1.46x9.313%9.31%13.636%13.6%15-1.000000x-1.000000x1.436961x1.436961x1.44x5.448%5.45%7.829%7.83%-1.000000x-1.000000x1.420197x1.420197x1.42x7.115%7.11%10.104%10.1%16-1.000000x-1.000000x1.407999x1.407999x1.41x8.836%8.84%12.441%12.4%17-1.000000x-1.000000x1.388510x1.388510x1.39x11.699%11.7%16.244%16.2%18-1.000000x-1.000000x1.300927x1.300927x1.30x20.398%20.4%26.536%26.5%19-1.000000x-1.000000x1.266483x1.266483x1.27x15.130%15.1%19.161%19.2%20-1.000000x-1.000000x1.230012x1.230012x1.23x11.655%11.7%14.336%14.3%21-1.000000x-1.000000x1.229407x1.229407x1.23x7.022%7.02%8.633%8.63%22-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.190748x1.190748x1.19x11.431%11.4%13.612%13.6%23-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%24-1.000000x-1.000000x1.175263x1.175263x1.18x9.732%9.73%11.438%11.4%25-1.000000x-1.000000x1.169870x1.169870x1.17x14.601%14.6%17.081%17.1%26-1.000000x-1.000000x1.143825x1.143825x1.14x16.012%16.0%18.315%18.3%27-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.119570x1.119570x1.12x6.866%6.87%7.687%7.69%28-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.108378x1.108378x1.11x8.835%8.83%9.792%9.79%29-1.000000x-1.000000x1.045752x1.045752x1.05x11.460%11.5%11.984%12.0%30-1.000000x-1.000000x1.036533x1.036533x1.04x8.455%8.46%8.764%8.76%31-1.000000x-1.000000x1.030884x1.030884x1.03x20.405%20.4%21.036%21.0%32-1.000000x-1.000000x1.019603x1.019603x1.02x8.847%8.85%9.021%9.02%33-1.037897x-1.037897x1.04x1.000000x1.000000x7.358%7.36%7.089%7.09%-1.039914x-1.039914x1.04x1.000000x1.000000x7.229%7.23%6.952%6.95%34-1.076348x-1.076348x1.08x1.000000x1.000000x6.572%6.57%6.106%6.11%-1.078903x-1.078903x1.08x1.000000x1.000000x7.074%7.07%6.556%6.56%35-1.106367x-1.106367x1.11x1.000000x1.000000x5.970%5.97%5.396%5.40%36-1.154347x-1.154347x1.15x1.000000x1.000000x5.692%5.69%4.931%4.93%37-1.190445x-1.190445x1.19x1.000000x1.000000x6.744%6.74%5.665%5.67%38-1.197234x-1.197234x1.20x1.000000x1.000000x1.230%1.23%1.027%1.03%39-1.245115x-1.245115x1.25x1.000000x1.000000x7.748%7.75%6.223%6.22%40-1.276253x-1.276253x1.28x1.000000x1.000000x9.235%9.23%7.236%7.24%41-1.356773x-1.356773x1.36x1.000000x1.000000x8.792%8.79%6.480%6.48%42-1.391755x-1.391755x1.39x1.000000x1.000000x19.107%19.1%13.729%13.7%43-1.467442x-1.467442x1.47x1.000000x1.000000x13.359%13.4%9.103%9.10%44-1.498616x-1.498616x1.50x1.000000x1.000000x12.236%12.2%8.165%8.17%45-1.706563x-1.706563x1.71x1.000000x1.000000x5.144%5.14%3.014%3.01%46-1.811224x-1.811224x1.81x1.000000x1.000000x7.466%7.47%4.122%4.12%47-1.947300x-1.947300x1.95x1.000000x1.000000x1.512%1.51%0.776%0.78%48-2.073921x-2.073921x2.07x1.000000x1.000000x8.187%8.19%3.947%3.95%49-3.736264x-3.736264x3.74x1.000000x1.000000x7.143%7.14%1.912%1.91%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.811%10.8%0.000%0%
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 Michigan Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Michigan 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 Michigan Township, selected other county subdivisions in the Midwest, and entities that contain the Michigan 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 CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineNorth DakotaSchaumburg TownshipSchaumburgGrand Forks Metro AreaGrand ForksLincolnWashington TownshipWashington011700Tract 011700OlatheGrand Forks CountyGrand ForksFargoCedar RapidsYork TownshipMilton TownshipMiltonMichigan TownshipMichiganMadisonDowners 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%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.963451%7.963451%8.0%38,03438.0k7.739434%7.739434%7.7%7,226387.222431%7.222431%7.2%4,4287.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.658323%6.658323%6.7%2666.424130%6.424130%6.4%5,331416.335234%6.335234%6.3%2,5556.055621%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%4,126455.000000%5.000000%5.0%44.836248%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 Michigan Township, selected other county subdivisions in the Midwest, and entities that contain the Michigan Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapital011700Tract 011700ColumbusOmahaCincinnatiGrand Forks CountyGrand ForksSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralGrand Forks Metro AreaGrand ForksMidwestWichitaNorth DakotaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMichigan TownshipMichiganMilwaukeeRockford 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%28,78028.8k2135.219024%35.219024%35.2%1,40734.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.094471%33.094471%33.1%13,34713.3k33.007421%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%71,75771.8k3028.172535%28.172535%28.2%134,554135k27.532180%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%26,38926.4k3525.000000%25.000000%25.0%2023.517740%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 Michigan Township, selected other county subdivisions in the Midwest, and entities that contain the Michigan Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineGrand Forks CountyGrand ForksPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsGrand Forks Metro AreaGrand ForksLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaNorth DakotaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockford011700Tract 011700MilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonMichigan TownshipMichigan17.877867%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%3,970193.778825%3.778825%3.8%1,5243.487439%3.487439%3.5%2,782203.407574%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%6,260322.435475%2.435475%2.4%11,63211.6k2.213918%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%2,416362.052566%2.052566%2.1%822.043126%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%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 Michigan Township, selected other county subdivisions in the Midwest, and entities that contain the Michigan Township
Female
Male
10x5x0xFM#Tract 011700Cedar RapidsLincolnDetroitOmahaToledoNorth DakotaThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborGrand ForksSt. PaulLisleGrand ForksMinneapolisSterling HtsDowners GrvMiltonMaineMichigan-1.000000x-1.000000x1.436961x1.436961x1.44x5.448%5.45%7.829%7.83%-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-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-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-1.000000x1.132245x1.132245x1.13x19.779%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%43-1.037897x-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%45-1.076348x-1.076348x1.08x1.000000x1.000000x6.572%6.57%6.106%6.11%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.811%10.8%0.000%0%
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 Michigan Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Michigan 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 Michigan Township, selected other county subdivisions in the United States, and entities that contain the Michigan 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 CentralSeattleNortheast TarrantNE TarrantNorth DakotaGrand Forks Metro AreaGrand Forks011700Tract 011700Grand Forks CountyGrand ForksPlanoMichigan TownshipMichiganSeattle 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%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.963451%7.963451%8.0%38,03438.0k7.222431%7.222431%7.2%4,4286.658323%6.658323%6.7%2666.335234%6.335234%6.3%2,5555.714681%5.714681%5.7%20,64420.6k495.000000%5.000000%5.0%44.913852%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 Michigan Township, selected other county subdivisions in the United States, and entities that contain the Michigan Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicago011700Tract 011700ColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityGrand Forks CountyGrand ForksAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralGrand Forks Metro AreaGrand ForksBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoNorth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiMichigan TownshipMichiganFort 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%669,666670k1735.219024%35.219024%35.2%1,40734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%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%204,048204k2333.094471%33.094471%33.1%13,34713.3k32.636312%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%209,283209k3628.172535%28.172535%28.2%134,554135k27.276345%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%178,455178k4025.000000%25.000000%25.0%2024.665414%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#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 Michigan Township, selected other county subdivisions in the United States, and entities that contain the Michigan Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityGrand Forks CountyGrand ForksHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited 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 VlyNorth DakotaOntarioFort WorthLas Vegas011700Tract 011700MilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitMichigan TownshipMichigan12.461852%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%23,36723.4k223.778825%3.778825%3.8%1,5243.737871%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%15,21115.2k273.384967%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%15,54715.5k402.435475%2.435475%2.4%11,63211.6k2.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.052566%2.052566%2.1%822.043126%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%5,693500.000000%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 Michigan Township, selected other county subdivisions in the United States, and entities that contain the Michigan Township
Female
Male
10x5x0xFM#Tract 0117001, CharlotteDetroitNorth DakotaBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited 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 VlyQueensMiamiGrand ForksManhattanSeattleLong Bch-LakewoodSeattle EastGrand ForksSan JoseSan DiegoSan FranciscoEl PasoMichigan-1.000000x-1.000000x1.436961x1.436961x1.44x5.448%5.45%7.829%7.83%-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-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-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-1.000000x1.127915x1.127915x1.13x9.647%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%42-1.037897x-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%46-1.076348x-1.076348x1.08x1.000000x1.000000x6.572%6.57%6.106%6.11%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.811%10.8%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

More Maps to Explore

State:
North Dakota
County:
Grand Forks
Metro Area:
Grand Forks Area
ZIP Codes:
58275, 58278
Unified School Districts:
Central Valley 3, Northwood 129, Thompson 61
Congressional District:
ND-At Large
State Senate District:
ND-20
State House District:
ND-20
Neighboring Cities:
Reynolds
Neighboring Townships:
Allendale, Americus, Buxton, Fairfield, Morgan, Union, Walle
Nearby Townships:
Bentru, Brenna, Garfield, Grand Forks, Oakville, Stavanger, Washington, Wold