Educational Attainment in the Berlin Township, Cass County, North Dakota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Cass County and the Berlin Township
Berlin Township
Cass County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma238.596491%52.026552%38.596491%38.6%4457.017544%42.442460%57.017544%57.0%654.385965%5.530988%4.385965%4.4%5
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 Cass County at large.
Scope: population of Cass County and the Berlin Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-25.813859%-25.813859%-25.8%38.596%38.6%52.027%52.0%34.340809%34.340809%+34.3%57.018%57.0%42.442%42.4%-20.701968%-20.701968%-20.7%4.386%4.39%5.531%5.53%
% percentage with given level in the Berlin Township
ref. percentage with given level in Cass 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 Cass County and the Berlin Township
Berlin Township
Cass County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.872886%00.000000%0.000000%0.0%1.924911%011.403509%7.287301%11.403509%11.4%1310.526316%26.279180%10.526316%10.5%1216.666667%14.662273%16.666667%16.7%1921.929825%21.696195%21.929825%21.9%2535.087719%20.746264%35.087719%35.1%404.385965%3.021282%4.385965%4.4%50.000000%0.000000%0.0%1.656117%00.000000%0.000000%0.0%0.853589%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 Cass County at large.
Scope: population of Cass County and the Berlin 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%1.873%1.87%-100.000000%-100.000000%-100.0%0.000%0%1.925%1.92%56.484664%56.484664%+56.5%11.404%11.4%7.287%7.29%-59.944275%-59.944275%-59.9%10.526%10.5%26.279%26.3%13.670412%13.670412%+13.7%16.667%16.7%14.662%14.7%1.076821%1.076821%+1.1%21.930%21.9%21.696%21.7%69.127891%69.127891%+69.1%35.088%35.1%20.746%20.7%45.169005%45.169005%+45.2%4.386%4.39%3.021%3.02%-100.000000%-100.000000%-100.0%0.000%0%1.656%1.66%-100.000000%-100.000000%-100.0%0.000%0%0.854%0.85%
% percentage with given level in the Berlin Township
ref. percentage with given level in Cass 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 Cass County and the Berlin Township
More Females More Males
Cass County
Berlin Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-54.949495%-11.619498%-54.949495%55%47.273%47.3%30.508%30.5%15.721800%10.630690%15.721800%16%52.727%52.7%61.017%61.0%1,000.000000%29.720182%1,000.000000%> 1000%0.000%0%8.475%8.47%
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 Cass County and the Berlin Township
More Females More Males
Cass County
Berlin Township
1k%0k%1k%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3-1,000.000000%-47.068824%-1,000.000000%> 1000%23.636%23.6%0.000%0%-18.969294%1,000.000000%1,000.000000%> 1000%0.000%0%20.339%20.3%-132.424242%-3.188634%-132.424242%0k%23.636%23.6%10.169%10.2%272.881356%12.566795%272.881356%0k%9.091%9.09%33.898%33.9%-60.909091%-60.909091%0k%8.643407%43.636%43.6%27.119%27.1%1,000.000000%74.081893%1,000.000000%> 1000%0.000%0%8.475%8.47%
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 Cass County and the Berlin Township
Berlin Township
Cass County
0%5%10%15%20%25%30%B.X.Total65+45-6425-340.000000%0.000000%0.0%16.223643%07322.222222%24.705217%22.222222%22.2%41834.782609%31.981049%34.782609%34.8%823
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 Cass County at large.
Scope: population of Cass County and the Berlin Township
100%80%60%40%20%0%%ref.65+45-6425-34-100.000000%-100.000000%100.0%0.000%0%16.224%16.2%-10.050489%-10.050489%10.1%22.222%22.2%24.705%24.7%8.760061%8.760061%8.8%34.783%34.8%31.981%32.0%
% percentage in the Berlin Township with a Bachelor's degree
ref percentage in Cass 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 Cass County and the Berlin Township
More Females More Males
Cass County
Berlin Township
0%500%1,000%FM45-6425-34-9.101130%1,000.000000%1,000.000000%> 1000%0.000%0%44.444%44.4%-44.942906%1,000.000000%1,000.000000%> 1000%0.000%0%57.143%57.1%
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 Cass County and the Berlin Township
Berlin Township
Cass County
$0k$10k$20k$30kCount%H.S. Diploma2Total$25,250.000000$30,366.000000$25,250.000000$25.3k4035.088%35.1%$26,656.000000$38,972.000000$26,656.000000$26.7k114100.000%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

Employment by Educational Attainment#11

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Cass County and the Berlin Township
Berlin Township
Cass County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.000000%88.736753%84.000000%84.0%210.000000%0.000000%0.0%84.716251%0100.000000%79.024703%100.000000%100.0%11100.000000%63.345495%100.000000%100.0%5
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#12

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Cass County and the Berlin Township
Female Male
Cass County
Berlin Township
Shaded bar tips show excess over facing bar.
2%0%2%4%6%8%MFWhite1-0.000000%-3.229985%0.000000%0.0%0.000000%8.474576%3.229985%2.032164%8.474576%8.5%50
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#13

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Cass County and the Berlin Township
Female Male
Cass County
Berlin Township
Shaded bar tips show excess over facing bar.
40%30%20%10%0%10%20%30%MFWhite1-20.338983%-3.297381%-35.838815%-5.095566%-23.636364%23.6%20.338983%35.838815%20.338983%20.3%1213
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 Fargo Area

There are 118 county subdivisions in the Fargo Area. This section compares the Berlin Township to the 50 most populous county subdivisions in the Fargo Area and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 212.

No H.S. Diploma by County Subdivision#14

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Berlin Township, selected other county subdivisions in the Fargo Area, and entities that contain the Berlin Township
0%5%10%Count#Spring Prairie TownshipSpg PrairieUnited States of AmericaUnited StatesHumboldt TownshipHumboldtMidwestLeonardUlenWest North CentralDavenportHarwood TownshipHarwoodBarnesvilleNorth DakotaHitterdalElkton TownshipElktonHawleyKindredUlen TownshipGlyndonMapletonArthurDilworthEglon TownshipEglonFargoPageFargo Metro AreaFargo AreaCass CountyCassOakport TownshipOakportMoorheadRiverton TownshipRiverton040200Tract 040200Glyndon TownshipGlyndonRaymond TownshipRaymondPleasant TownshipPleasantHunterBerlin TownshipBerlinWest FargoHoraceHarwoodCasseltonKurtz TownshipKurtzCromwell TownshipCromwellReed TownshipMoorhead TownshipMoorheadTower CityNormanna TownshipNormannaArgusvilleKragnes TownshipKragnesTansem TownshipTansemHawley TownshipHawleyHighland Grove TownshipHighland GrvSabinAlliance TownshipAllianceElmwood TownshipElmwoodMoland TownshipMolandReile's AcresParke TownshipParkeOxbowStanley TownshipStanleyGoose Prairie TownshipGoose Prairie13.333333%13.333333%13.3%24113.020590%13.020590%13.0%27,818,38027.8M10.416667%10.416667%10.4%20210.244520%10.244520%10.2%4,641,8354.64M9.859155%9.859155%9.9%2139.547739%9.547739%9.5%3849.174633%9.174633%9.2%1,278,0511.28M8.938547%8.938547%8.9%1658.741259%8.741259%8.7%2567.986111%7.986111%8.0%13877.963451%7.963451%8.0%38,03438.0k7.843137%7.843137%7.8%1287.812500%7.812500%7.8%2097.457627%7.457627%7.5%88107.423581%7.423581%7.4%34116.896552%6.896552%6.9%12126.842105%6.842105%6.8%52136.525912%6.525912%6.5%34146.400000%6.400000%6.4%16156.298932%6.298932%6.3%177166.128134%6.128134%6.1%22176.055621%6.055621%6.1%4,270185.594406%5.594406%5.6%8195.545532%5.545532%5.5%7,8075.530988%5.530988%5.5%5,7415.352798%5.352798%5.4%22205.311348%5.311348%5.3%1,253214.885057%4.885057%4.9%17224.753199%4.753199%4.8%784.591837%4.591837%4.6%9234.566210%4.566210%4.6%10244.545455%4.545455%4.5%10254.455446%4.455446%4.5%9264.385965%4.385965%4.4%54.320296%4.320296%4.3%887274.259043%4.259043%4.3%73284.230769%4.230769%4.2%22294.102564%4.102564%4.1%64304.054054%4.054054%4.1%6313.947368%3.947368%3.9%12323.944020%3.944020%3.9%31333.846154%3.846154%3.8%6343.703704%3.703704%3.7%8353.673469%3.673469%3.7%9363.597122%3.597122%3.6%10373.550296%3.550296%3.6%6383.125000%3.125000%3.1%6393.058104%3.058104%3.1%10402.803738%2.803738%2.8%6412.793296%2.793296%2.8%10422.747253%2.747253%2.7%5432.649007%2.649007%2.6%8442.262443%2.262443%2.3%5451.337793%1.337793%1.3%4461.055409%1.055409%1.1%4470.425532%0.425532%0.4%1480.000000%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 without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#15

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Berlin Township, selected other county subdivisions in the Fargo Area, and entities that contain the Berlin Township
0%20%40%60%Count#OxbowReile's AcresArgusvilleOakport TownshipOakportKurtz TownshipKurtzStanley TownshipStanleyReed TownshipHoraceFargoCass CountyCassMoorheadWest FargoFargo Metro AreaFargo AreaGlyndon TownshipGlyndonArthurKindredRaymond TownshipRaymondHarwood TownshipHarwoodHarwoodEglon TownshipEglonTansem TownshipTansemCasseltonHumboldt TownshipHumboldtCromwell TownshipCromwellUnited States of AmericaUnited StatesWest North CentralHawleyMoland TownshipMoland040200Tract 040200Hawley TownshipHawleyMidwestNorth DakotaMoorhead TownshipMoorheadElkton TownshipElktonDilworthHighland Grove TownshipHighland GrvBarnesvilleKragnes TownshipKragnesGoose Prairie TownshipGoose PrairieElmwood TownshipElmwoodMapletonSpring Prairie TownshipSpg PrairieParke TownshipParkeGlyndonBerlin TownshipBerlinPleasant TownshipPleasantSabinTower CityRiverton TownshipRivertonLeonardNormanna TownshipNormannaHunterDavenportAlliance TownshipAllianceUlenPageUlen TownshipHitterdal65.106383%65.106383%65.1%153154.849498%54.849498%54.8%164251.079137%51.079137%51.1%142347.688564%47.688564%47.7%196443.918919%43.918919%43.9%65541.903585%41.903585%41.9%339641.348601%41.348601%41.3%325739.439907%39.439907%39.4%676838.241175%38.241175%38.2%26,96527.0k937.364278%37.364278%37.4%38,78338.8k37.153999%37.153999%37.2%8,7651036.554479%36.554479%36.6%7,5051136.220344%36.220344%36.2%50,99151.0k35.204082%35.204082%35.2%691235.200000%35.200000%35.2%881334.934498%34.934498%34.9%1601434.703196%34.703196%34.7%761534.265734%34.265734%34.3%981633.846154%33.846154%33.8%1761732.869081%32.869081%32.9%1181832.812500%32.812500%32.8%631932.500000%32.500000%32.5%5072031.770833%31.770833%31.8%612131.250000%31.250000%31.3%952230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.576271%29.576271%29.6%3492329.411765%29.411765%29.4%652429.372334%29.372334%29.4%48229.357798%29.357798%29.4%962528.952816%28.952816%29.0%13,118,64213.1M28.172535%28.172535%28.2%134,554135k26.282051%26.282051%26.3%412625.390625%25.390625%25.4%652725.338078%25.338078%25.3%7122825.233645%25.233645%25.2%542925.231481%25.231481%25.2%4363024.852071%24.852071%24.9%423124.444444%24.444444%24.4%333222.847682%22.847682%22.8%693322.648752%22.648752%22.6%1183422.222222%22.222222%22.2%403522.163588%22.163588%22.2%843622.105263%22.105263%22.1%1683721.929825%21.929825%21.9%2521.818182%21.818182%21.8%483821.787709%21.787709%21.8%783920.833333%20.833333%20.8%454020.689655%20.689655%20.7%724120.187793%20.187793%20.2%434220.000000%20.000000%20.0%494317.821782%17.821782%17.8%364417.318436%17.318436%17.3%314515.934066%15.934066%15.9%294615.577889%15.577889%15.6%624715.384615%15.384615%15.4%224812.068966%12.068966%12.1%21498.496732%8.496732%8.5%1350
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#16

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 Berlin Township, selected other county subdivisions in the Fargo Area, and entities that contain the Berlin Township
0%5%10%Count#Stanley TownshipStanleyOakport TownshipOakportSpring Prairie TownshipSpg PrairieOxbowFargoReed TownshipHighland Grove TownshipHighland GrvHumboldt TownshipHumboldtReile's AcresCass CountyCassGoose Prairie TownshipGoose PrairieParke TownshipParkeTansem TownshipTansemFargo Metro AreaFargo AreaUnited States of AmericaUnited StatesWest North CentralMidwestArgusvilleWest FargoUlenMoorheadCasseltonGlyndon TownshipGlyndonHoraceNorth DakotaArthurElkton TownshipElktonEglon TownshipEglonHawley TownshipHawleyCromwell TownshipCromwellHawleyMoorhead TownshipMoorheadRaymond TownshipRaymondMoland TownshipMolandKurtz TownshipKurtzBarnesvilleLeonardGlyndon040200Tract 040200Riverton TownshipRivertonSabinElmwood TownshipElmwoodHitterdalKragnes TownshipKragnesAlliance TownshipAllianceHunterHarwoodMapletonBerlin TownshipBerlinDilworthKindredNormanna TownshipNormannaHarwood TownshipHarwoodTower CityPagePleasant TownshipPleasantDavenportUlen Township13.597033%13.597033%13.6%11017.299270%7.299270%7.3%3025.555556%5.555556%5.6%1035.531915%5.531915%5.5%1344.336789%4.336789%4.3%3,05854.325700%4.325700%4.3%3464.205607%4.205607%4.2%974.166667%4.166667%4.2%884.013378%4.013378%4.0%1293.797798%3.797798%3.8%3,9423.703704%3.703704%3.7%5103.693931%3.693931%3.7%14113.645833%3.645833%3.6%7123.377610%3.377610%3.4%4,7553.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.877698%2.877698%2.9%8132.829867%2.829867%2.8%581142.763819%2.763819%2.8%11152.564537%2.564537%2.6%605162.564103%2.564103%2.6%40172.551020%2.551020%2.6%5182.450408%2.450408%2.5%42192.435475%2.435475%2.4%11,63211.6k2.400000%2.400000%2.4%6202.343750%2.343750%2.3%6212.228412%2.228412%2.2%8222.140673%2.140673%2.1%7231.973684%1.973684%2.0%6241.949153%1.949153%1.9%23251.923077%1.923077%1.9%3261.826484%1.826484%1.8%4271.809955%1.809955%1.8%4281.351351%1.351351%1.4%2291.273148%1.273148%1.3%22300.938967%0.938967%0.9%2310.921053%0.921053%0.9%7320.914077%0.914077%0.9%150.862069%0.862069%0.9%3330.837989%0.837989%0.8%3340.662252%0.662252%0.7%2350.653595%0.653595%0.7%1360.591716%0.591716%0.6%1370.549451%0.549451%0.5%1380.495050%0.495050%0.5%1390.384615%0.384615%0.4%2400.383877%0.383877%0.4%2410.000000%0.000000%0.0%00.000000%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#17

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 Berlin Township, selected other county subdivisions in the Fargo Area, and entities that contain the Berlin Township
Female
Male
5x0x5x10xFM#BerlinOakportArgusvilleHawleyOxbowNormannaRaymondPleasantUlen TownshipKurtzElktonHunterTower CityKindredMoorheadBarnesvilleAllianceRivertonLeonardUlenReile's AcresHitterdalHarwoodTract 040200HoraceWest FargoHarwoodEglonHumboldtMoorheadSabinFargo AreaCassHawleyNorth DakotaFargoPageReed TownshipWest North CentralMidwestUnited StatesCromwellGlyndonArthurParkeDilworthHighland GrvGlyndonMapletonSpg PrairieDavenportElmwoodCasseltonTansemMolandKragnes-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.475%8.47%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.945%10.9%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.849%6.85%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.556%5.56%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.813%0.81%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.895%7.89%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.696%8.70%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.621%8.62%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.483%13.5%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.792%7.79%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.847%0.85%13.768%13.8%10-1.000000x-1.000000x7.390476x7.390476x7.39x1.031%1.03%7.619%7.62%11-1.000000x-1.000000x7.000000x7.000000x7.00x0.926%0.93%6.481%6.48%12-1.000000x-1.000000x4.666667x4.666667x4.67x2.620%2.62%12.227%12.2%13-1.000000x-1.000000x4.285714x4.285714x4.29x1.389%1.39%5.952%5.95%14-1.000000x-1.000000x4.149354x4.149354x4.15x3.111%3.11%12.907%12.9%15-1.000000x-1.000000x4.088889x4.088889x4.09x1.087%1.09%4.444%4.44%16-1.000000x-1.000000x3.139831x3.139831x3.14x2.339%2.34%7.345%7.34%17-1.000000x-1.000000x3.053211x3.053211x3.05x4.808%4.81%14.679%14.7%18-1.000000x-1.000000x2.997006x2.997006x3.00x5.195%5.19%15.569%15.6%19-1.000000x-1.000000x2.940397x2.940397x2.94x0.676%0.68%1.987%1.99%20-1.000000x-1.000000x2.737500x2.737500x2.74x4.110%4.11%11.250%11.3%21-1.000000x-1.000000x2.566038x2.566038x2.57x2.353%2.35%6.038%6.04%22-1.000000x-1.000000x2.551203x2.551203x2.55x2.604%2.60%6.644%6.64%-1.000000x-1.000000x2.255349x2.255349x2.26x2.570%2.57%5.797%5.80%23-1.000000x-1.000000x1.676716x1.676716x1.68x3.219%3.22%5.398%5.40%24-1.000000x-1.000000x1.657658x1.657658x1.66x6.522%6.52%10.811%10.8%25-1.000000x-1.000000x1.609626x1.609626x1.61x4.651%4.65%7.487%7.49%26-1.000000x-1.000000x1.604716x1.604716x1.60x7.865%7.87%12.621%12.6%27-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%28-1.000000x-1.000000x1.371658x1.371658x1.37x2.339%2.34%3.209%3.21%29-1.000000x-1.000000x1.364273x1.364273x1.36x4.692%4.69%6.401%6.40%-1.000000x-1.000000x1.297202x1.297202x1.30x4.814%4.81%6.244%6.24%-1.000000x-1.000000x1.288576x1.288576x1.29x6.547%6.55%8.436%8.44%30-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%31-1.000000x-1.000000x1.166667x1.166667x1.17x5.195%5.19%6.061%6.06%32-1.000000x-1.000000x1.145471x1.145471x1.15x3.686%3.69%4.222%4.22%33-1.000000x-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-1.000000x1.026667x1.026667x1.03x3.896%3.90%4.000%4.00%34-1.056338x-1.056338x1.06x1.000000x1.000000x7.042%7.04%6.667%6.67%35-1.077731x-1.077731x1.08x1.000000x1.000000x6.618%6.62%6.140%6.14%36-1.093923x-1.093923x1.09x1.000000x1.000000x1.105%1.10%1.010%1.01%37-1.159456x-1.159456x1.16x1.000000x1.000000x6.719%6.72%5.795%5.79%38-1.276596x-1.276596x1.28x1.000000x1.000000x3.191%3.19%2.500%2.50%39-1.328947x-1.328947x1.33x1.000000x1.000000x5.263%5.26%3.960%3.96%40-1.412214x-1.412214x1.41x1.000000x1.000000x7.634%7.63%5.405%5.41%41-1.496552x-1.496552x1.50x1.000000x1.000000x16.092%16.1%10.753%10.8%42-1.576087x-1.576087x1.58x1.000000x1.000000x10.870%10.9%6.897%6.90%43-1.666667x-1.666667x1.67x1.000000x1.000000x3.311%3.31%1.987%1.99%44-1.706563x-1.706563x1.71x1.000000x1.000000x5.144%5.14%3.014%3.01%45-1.878788x-1.878788x1.88x1.000000x1.000000x4.040%4.04%2.151%2.15%46-5.305263x-5.305263x5.31x1.000000x1.000000x4.211%4.21%0.794%0.79%47-6.901408x-6.901408x6.90x1.000000x1.000000x7.042%7.04%1.020%1.02%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 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 Berlin Township to the 50 most populous county subdivisions in North Dakota and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 1,474.

No H.S. Diploma by County Subdivision#18

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Berlin Township, selected other county subdivisions in North Dakota, and entities that contain the Berlin 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 TownshipTatmanBismarckDickinson NorthDickinson NWillistonNedrose TownshipNedroseMinotGrand ForksApple Creek TownshipApple CrkFargoLincolnMayvilleWatford CityFargo Metro AreaFargo AreaCass CountyCassStanleyEast Morton040200Tract 040200Berlin TownshipBerlinMandanWest 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%3,425287.084469%7.084469%7.1%156297.076386%7.076386%7.1%1,095307.053395%7.053395%7.1%107316.809689%6.809689%6.8%2,041326.196399%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%159385.545532%5.545532%5.5%7,8075.530988%5.530988%5.5%5,7415.256242%5.256242%5.3%80395.124378%5.124378%5.1%103404.753199%4.753199%4.8%784.385965%4.385965%4.4%54.337539%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#19

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Berlin Township, selected other county subdivisions in North Dakota, and entities that contain the Berlin Township
0%10%20%30%40%Count#Lincoln-Fort RiceBurnt Creek-RiverviewBurnt Crk-RiverviewHoraceHay Creek TownshipHay CrkFargoCass CountyCassWest FargoFargo Metro AreaFargo AreaMayvilleApple Creek TownshipApple CrkGrand ForksBismarckWaterford TownshipWaterfordCasseltonDickinson NorthDickinson NUnited States of AmericaUnited StatesWest North Central040200Tract 040200Mekinock TownshipMekinockMidwestHarrison TownshipHarrisonNorth DakotaMandanMinotGibbs TownshipGibbsTatman TownshipTatmanHillsboroLincolnMandanStanleyTurtle MountainTurtle MtnCarringtonJamestownDickinsonValley CityBowmanHazenOakesWatford CityWillistonBerlin TownshipBerlinWahpetonNew 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%26,96527.0k537.364278%37.364278%37.4%38,78338.8k36.554479%36.554479%36.6%7,505636.220344%36.220344%36.2%50,99151.0k35.520150%35.520150%35.5%379735.183190%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%3791132.500000%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%4,186,9564.19M29.372334%29.372334%29.4%48229.177958%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%8802424.751820%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%3,6923321.929825%21.929825%21.9%2521.863568%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#20

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 Berlin Township, selected other county subdivisions in North Dakota, and entities that contain the Berlin Township
0%1%2%3%4%5%Count#Apple Creek TownshipApple CrkBurnt Creek-RiverviewBurnt Crk-RiverviewGrand ForksMandanFargoHay Creek TownshipHay CrkCass CountyCassOakesDickinson NorthDickinson NBismarckFargo Metro AreaFargo AreaUnited States of AmericaUnited StatesMayvilleWest North CentralMidwestWest FargoFort BertholdStanleyCasseltonDickinsonLincoln-Fort RiceHoraceNorth DakotaValley CityMandanWillistonMekinock TownshipMekinockHarrison TownshipHarrisonEast MortonWahpetonMinotWatford CityFort YatesGibbs TownshipGibbsBeulahDevils LakeNew TownJamestownLisbonTatman TownshipTatmanRugbyLincolnBottineauNorth SiouxHillsboroNedrose TownshipNedroseGraftonNorth RoletteFort Totten040200Tract 040200BowmanHarveyTurtle MountainTurtle MtnCarringtonLangdonHazenBerlin TownshipBerlinWaterford 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%10163.797798%3.797798%3.8%3,9423.743701%3.743701%3.7%5273.496821%3.496821%3.5%7783.437599%3.437599%3.4%1,62193.377610%3.377610%3.4%4,7553.336158%3.336158%3.3%7,127,6737.13M3.092784%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%24211.977894%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%7430.914077%0.914077%0.9%150.864304%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#21

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 Berlin Township, selected other county subdivisions in North Dakota, and entities that contain the Berlin Township
Female
Male
0x5x10xFM#BerlinHay CrkLincoln-Fort RiceGibbsWaterfordGraftonDickinson NNew TownTract 040200HoraceEast MortonTatmanApple CrkJamestownWest FargoWahpetonDevils LakeHarrisonLangdonOakesFargo AreaFort TottenCassTurtle MtnBowmanMandanNorth DakotaRugbyFargoValley CityNorth SiouxNorth RoletteWest North CentralMidwestBismarckUnited StatesDickinsonHillsboroBottineauHarveyFort BertholdWillistonMinotWatford CityStanleyGrand ForksBurnt Crk-RiverviewNedroseLisbonHazenFort YatesCarringtonBeulahCasseltonMayvilleMekinockLincolnMandan-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.475%8.47%-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-1.000000x2.551203x2.551203x2.55x2.604%2.60%6.644%6.64%-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-1.000000x1.420197x1.420197x1.42x7.115%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-1.000000x1.364273x1.364273x1.36x4.692%4.69%6.401%6.40%-1.000000x-1.000000x1.300927x1.300927x1.30x20.398%20.4%26.536%26.5%19-1.000000x-1.000000x1.297202x1.297202x1.30x4.814%4.81%6.244%6.24%-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%33-1.039914x-1.039914x1.04x1.000000x1.000000x7.229%7.23%6.952%6.95%34-1.078903x-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
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 Berlin Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#22

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin 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 TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsFargo Metro AreaFargo AreaCass CountyCassYork TownshipMilton TownshipMiltonMadison040200Tract 040200Berlin TownshipBerlinDowners 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%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.545532%5.545532%5.5%7,8075.530988%5.530988%5.5%5,7415.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.753199%4.753199%4.8%784.385965%4.385965%4.4%54.020265%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#23

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoCass CountyCassLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalFargo Metro AreaFargo AreaColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North Central040200Tract 040200MidwestWichitaNorth DakotaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeBerlin TownshipBerlinRockford 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%26,96527.0k1737.364278%37.364278%37.4%38,78338.8k37.146608%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%28,78028.8k2136.220344%36.220344%36.2%50,99151.0k34.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%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%4,186,9564.19M29.372334%29.372334%29.4%48228.952816%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%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.929825%21.929825%21.9%2521.592552%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#24

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 Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineCass CountyCassPalatine TownshipPalatineWheeling TownshipWheelingFargo Metro AreaFargo AreaColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaNorth DakotaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAurora040200Tract 040200Thornton TownshipThorntonBerlin TownshipBerlin17.877867%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%3,970193.797798%3.797798%3.8%3,9423.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.377610%3.377610%3.4%4,7553.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.435475%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%2,416362.043126%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%834490.914077%0.914077%0.9%150.876686%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#25

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 Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
Female
Male
0x5x10xFM#BerlinTract 040200Fargo AreaCassCedar RapidsLincolnDetroitOmahaToledoNorth DakotaThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.475%8.47%-1.000000x-1.000000x2.551203x2.551203x2.55x2.604%2.60%6.644%6.64%-1.000000x-1.000000x1.364273x1.364273x1.36x4.692%4.69%6.401%6.40%-1.000000x-1.000000x1.297202x1.297202x1.30x4.814%4.81%6.244%6.24%-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%43-1.060004x-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 Berlin Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin 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 DakotaPlanoFargo Metro AreaFargo AreaCass CountyCassSeattle East040200Tract 040200Berlin TownshipBerlin28.998944%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%38,03438.0k5.714681%5.714681%5.7%20,64420.6k495.545532%5.545532%5.5%7,8075.530988%5.530988%5.5%5,7414.913852%4.913852%4.9%20,32620.3k504.753199%4.753199%4.8%784.385965%4.385965%4.4%5
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#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantCass CountyCassNorthwest HarrisNW HarrisChicagoFargo Metro AreaFargo AreaColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimore040200Tract 040200Long Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoNorth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoBerlin TownshipBerlinLas 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%143,978144k1537.364278%37.364278%37.4%38,78338.8k36.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1736.220344%36.220344%36.2%50,99151.0k34.685843%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%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.372334%29.372334%29.4%48229.113198%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%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.929825%21.929825%21.9%2521.702666%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#28

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 Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasCass CountyCassSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoFargo Metro AreaFargo AreaColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyNorth DakotaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit040200Tract 040200Berlin TownshipBerlin12.461852%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%38,21138.2k213.797798%3.797798%3.8%3,9423.792624%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%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.377610%3.377610%3.4%4,7553.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.435475%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%26,91426.9k432.043126%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%5,693500.914077%0.914077%0.9%150.000000%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#29

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 Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
Female
Male
0x5x10xFM#BerlinTract 040200Fargo AreaCass1, 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 VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.475%8.47%-1.000000x-1.000000x2.551203x2.551203x2.55x2.604%2.60%6.644%6.64%-1.000000x-1.000000x1.364273x1.364273x1.36x4.692%4.69%6.401%6.40%-1.000000x-1.000000x1.297202x1.297202x1.30x4.814%4.81%6.244%6.24%-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%42-1.044246x-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.

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Demographics

Income

Education

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State:
North Dakota
County:
Cass
Metro Area:
Fargo Area
ZIP Codes:
58005, 58042
Unified School Districts:
Central Cass 17, Northern Cass 97, West Fargo 6
Congressional District:
ND-At Large
State Senate District:
ND-45
State House District:
ND-45
Neighboring Cities:
Argusville
Neighboring Townships:
Gardner, Gunkel, Harmony, Harwood, Raymond, Rush River
Nearby Townships:
Barnes, Reed, Wiser