Educational Attainment in the Marsh Township, Barnes County, North Dakota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Barnes County and the Marsh Township
Marsh Township
Barnes County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma266.896552%36.203320%66.896552%66.9%9731.034483%54.681017%31.034483%31.0%452.068966%9.115664%2.068966%2.1%3
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 Barnes County at large.
Scope: population of Barnes County and the Marsh Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma284.780160%84.780160%+84.8%66.897%66.9%36.203%36.2%-43.244503%-43.244503%-43.2%31.034%31.0%54.681%54.7%-77.303183%-77.303183%-77.3%2.069%2.07%9.116%9.12%
% percentage with given level in the Marsh Township
ref. percentage with given level in Barnes 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 Barnes County and the Marsh Township
Marsh Township
Barnes County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None8.275862%1.257780%8.275862%8.3%120.000000%0.000000%0.0%0.648340%05.517241%3.747407%5.517241%5.5%835.172414%18.023859%35.172414%35.2%5117.931034%12.525934%17.931034%17.9%2611.724138%21.991701%11.724138%11.7%1719.310345%32.689315%19.310345%19.3%280.000000%0.000000%0.0%5.173755%00.689655%3.578838%0.689655%0.7%11.379310%0.363071%1.379310%1.4%2
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Barnes County at large.
Scope: population of Barnes County and the Marsh Township
-500%0%+500%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None557.973694%557.973694%+558.0%8.276%8.28%1.258%1.26%-100.000000%-100.000000%-100.0%0.000%0%0.648%0.65%47.228254%47.228254%+47.2%5.517%5.52%3.747%3.75%95.143637%95.143637%+95.1%35.172%35.2%18.024%18.0%43.151282%43.151282%+43.2%17.931%17.9%12.526%12.5%-46.688354%-46.688354%-46.7%11.724%11.7%21.992%22.0%-40.927656%-40.927656%-40.9%19.310%19.3%32.689%32.7%-100.000000%-100.000000%-100.0%0.000%0%5.174%5.17%-80.729635%-80.729635%-80.7%0.690%0.69%3.579%3.58%279.901478%279.901478%+279.9%1.379%1.38%0.363%0.36%
% percentage with given level in the Marsh Township
ref. percentage with given level in Barnes 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 Barnes County and the Marsh Township
More Females More Males
Barnes County
Marsh Township
100%50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-13.833519%0.657895%0.657895%1%66.667%66.7%67.105%67.1%3.759398%5.151053%3.759398%4%30.435%30.4%31.579%31.6%-120.289855%-120.289855%120%23.663410%2.899%2.90%1.316%1.32%
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 Barnes County and the Marsh Township
More Females More Males
Barnes County
Marsh Township
1k%0k%1k%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Less than H.S.3None-10.144928%-10.144928%0k%142.272062%8.696%8.70%7.895%7.89%-32.484240%1,000.000000%1,000.000000%> 1000%0.000%0%10.526%10.5%-34.089477%-50.970176%-34.089477%0k%40.580%40.6%30.263%30.3%5.921053%15.078450%5.921053%0k%17.391%17.4%18.421%18.4%1,000.000000%23.665083%1,000.000000%> 1000%0.000%0%22.368%22.4%-230.434783%-6.036983%-230.434783%0k%30.435%30.4%9.211%9.21%1,000.000000%120.733169%1,000.000000%> 1000%0.000%0%1.316%1.32%-1,000.000000%-1,000.000000%> 1000%59.679314%2.899%2.90%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 Barnes County and the Marsh Township
Marsh Township
Barnes County
0%10%20%30%40%50%60%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%13.783904%03839.534884%18.526931%39.534884%39.5%174344.736842%19.125214%44.736842%44.7%173865.384615%23.539095%65.384615%65.4%1726
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 Barnes County at large.
Scope: population of Barnes County and the Marsh Township
100%50%0%50%100%150%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%13.784%13.8%113.391439%113.391439%113.4%39.535%39.5%18.527%18.5%133.915506%133.915506%133.9%44.737%44.7%19.125%19.1%177.770307%177.770307%177.8%65.385%65.4%23.539%23.5%
% percentage in the Marsh Township with a Bachelor's degree
ref percentage in Barnes 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 Barnes County and the Marsh Township
More Females More Males
Barnes County
Marsh Township
1,000%500%0%FM45-6435-4425-34-52.172265%45.138889%45.138889%45.1%31.579%31.6%45.833%45.8%-33.897911%74.545455%74.545455%74.5%31.250%31.3%54.545%54.5%-1,000.000000%-133.761433%-1,000.000000%> 1000%94.444%94.4%0.000%0%
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 Barnes County and the Marsh Township
Marsh Township
Barnes County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeTotal$43,750.000000$39,420.000000$43,750.000000$43.8k5135.172%35.2%$36,563.000000$40,226.000000$36,563.000000$36.6k4329.655%29.7%$43,750.000000$36,959.000000$43,750.000000$43.8k145100.000%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 Barnes County and the Marsh Township
Female Male
Barnes County
Marsh Township
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40kFMBachelor's DegreeTotal$-43,000.000000$-32,220.000000$-43,000.000000$43.0k$43,000.000000$10,125.000000$32,220.000000$17,601.000000$53,125.000000$53.1k2823$-31,607.000000$-30,665.000000$-31,607.000000$31.6k$31,607.000000$21,786.000000$30,665.000000$16,152.000000$53,393.000000$53.4k6976
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 Barnes County and the Marsh Township
Marsh Township
Barnes County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%89.503149%100.000000%100.0%63100.000000%82.435711%100.000000%100.0%3414.285714%79.438682%14.285714%14.3%10.000000%0.000000%0.0%63.473054%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 Barnes County and the Marsh Township
Female Male
Barnes County
Marsh Township
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%8%MFWhite1-1.315789%-1.625387%-6.943314%-2.941176%2.9%1.315789%6.943314%2.914664%1.315789%1.3%12
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 Barnes County and the Marsh Township
Female Male
Barnes County
Marsh Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1-48.684211%-1.315789%-21.136174%-5.986148%-50.000000%50.0%48.684211%21.136174%48.684211%48.7%3734
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Marsh Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
33.1%34.3%35.5%36.6%37.8%39.0%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
56.63%57.02%57.41%57.79%58.18%58.57%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
4.4%5.2%6.0%6.8%7.5%8.4%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.32%0.63%0.95%1.26%1.59%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.12%0.24%0.36%0.49%0.61%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.03%3.12%3.21%3.29%3.38%3.47%

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

Percentage of the population 25 years and older with given highest level of educational attainment
16.4%17.4%18.3%19.2%20.1%21.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.6%12.2%12.7%13.2%13.8%14.4%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
24.413%24.440%24.466%24.492%24.519%24.545%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
32.09%32.50%32.91%33.33%33.74%34.15%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%4.0%4.6%5.1%5.7%6.3%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.69%0.91%1.13%1.35%1.57%1.79%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.260%0.269%0.278%0.288%0.297%0.306%
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Educational Attainment by County Subdivision in North Dakota

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Marsh Township, selected other county subdivisions in North Dakota, and entities that contain the Marsh Township
0%5%10%15%20%Count#Fort TottenHarveyNorth RoletteTurtle MountainTurtle MtnFort YatesNorth SiouxOakesGraftonUnited States of AmericaUnited StatesBowmanRugbyHillsboroDevils LakeCarringtonValley CityLangdonMidwestBeulahJamestownZIP Code 58072ZIP 58072DickinsonValley City Public School District 2Valley City 2West North CentralWahpetonBarnes CountyBarnesNew TownFort BertholdHarrison TownshipHarrisonBottineauLisbonNorth DakotaMandanHazenTatman TownshipTatmanBismarckDickinson NorthDickinson NWillistonNedrose TownshipNedroseMinotGrand ForksApple Creek TownshipApple CrkFargoLincolnMayvilleWatford CityStanleyEast MortonMandanWest FargoHoraceCasseltonGibbs TownshipGibbsWaterford TownshipWaterfordMarsh TownshipMarshHay 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%1,068179.860178%9.860178%9.9%5439.341662%9.341662%9.3%1,331189.192745%9.192745%9.2%5179.174633%9.174633%9.2%1,278,0511.28M9.167205%9.167205%9.2%426199.115664%9.115664%9.1%7039.077381%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%159385.256242%5.256242%5.3%80395.124378%5.124378%5.1%103404.337539%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%29462.068966%2.068966%2.1%31.895551%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Marsh Township, selected other county subdivisions in North Dakota, and entities that contain the Marsh Township
0%10%20%30%40%Count#Marsh TownshipMarshLincoln-Fort RiceBurnt Creek-RiverviewBurnt Crk-RiverviewHoraceHay Creek TownshipHay CrkFargoWest FargoMayvilleApple Creek TownshipApple CrkGrand ForksBismarckWaterford TownshipWaterfordCasseltonDickinson NorthDickinson NUnited States of AmericaUnited StatesWest North CentralMekinock TownshipMekinockMidwestHarrison TownshipHarrisonNorth DakotaMandanMinotGibbs TownshipGibbsTatman TownshipTatmanHillsboroValley City Public School District 2Valley City 2LincolnMandanStanleyZIP Code 58072ZIP 58072Turtle MountainTurtle MtnCarringtonJamestownDickinsonValley CityBowmanHazenOakesWatford CityWillistonBarnes CountyBarnesWahpetonNew TownHarveyBottineauEast MortonNedrose TownshipNedroseLangdonDevils LakeFort BertholdRugbyFort YatesBeulahNorth SiouxNorth RoletteLisbonGraftonFort Totten48.965517%48.965517%49.0%7143.156891%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%379735.183190%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%4,186,9564.19M29.177958%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%3012026.262447%26.262447%26.3%1,47725.874815%25.874815%25.9%5252125.867508%25.867508%25.9%3282225.427070%25.427070%25.4%3872325.422190%25.422190%25.4%1,40025.287356%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%3,6923323.677386%23.677386%23.7%1,82621.863568%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Marsh Township, selected other county subdivisions in North Dakota, and entities that contain the Marsh Township
0%2%4%6%8%Count#Marsh TownshipMarshApple Creek TownshipApple CrkBurnt Creek-RiverviewBurnt Crk-RiverviewGrand ForksMandanFargoHay Creek TownshipHay CrkOakesDickinson NorthDickinson NBismarckUnited States of AmericaUnited StatesMayvilleWest North CentralMidwestWest FargoFort BertholdStanleyCasseltonDickinsonLincoln-Fort RiceHoraceNorth DakotaZIP Code 58072ZIP 58072Valley CityValley City Public School District 2Valley City 2MandanWillistonMekinock TownshipMekinockHarrison TownshipHarrisonEast MortonWahpetonBarnes CountyBarnesMinotWatford CityFort YatesGibbs TownshipGibbsBeulahDevils LakeNew TownJamestownLisbonTatman TownshipTatmanRugbyLincolnBottineauNorth SiouxHillsboroNedrose TownshipNedroseGraftonNorth RoletteFort TottenBowmanHarveyTurtle MountainTurtle MtnCarringtonLangdonHazenWaterford TownshipWaterford8.275862%8.275862%8.3%125.280172%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%10163.743701%3.743701%3.7%5273.496821%3.496821%3.5%7783.437599%3.437599%3.4%1,62193.336158%3.336158%3.3%7,127,6737.13M3.092784%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%11,63211.6k2.396949%2.396949%2.4%1322.350658%2.350658%2.4%109182.258179%2.258179%2.3%1272.213996%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%90241.906120%1.906120%1.9%1471.898439%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%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Marsh Township, selected other county subdivisions in North Dakota, and entities that contain the Marsh Township
Female
Male
0x5x10xFM#Hay CrkLincoln-Fort RiceGibbsWaterfordGraftonDickinson NNew TownHoraceEast MortonTatmanApple CrkJamestownWest FargoWahpetonDevils LakeHarrisonLangdonOakesFort TottenZIP 58072Turtle MtnBarnesBowmanMandanNorth DakotaRugbyFargoValley CityNorth SiouxNorth RoletteWest North CentralMidwestBismarckValley City 2United StatesDickinsonHillsboroBottineauHarveyFort BertholdWillistonMinotWatford CityStanleyGrand ForksBurnt Crk-RiverviewNedroseLisbonHazenFort YatesCarringtonBeulahCasseltonMayvilleMekinockLincolnMarshMandan-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-1.000000x1.420197x1.420197x1.42x7.115%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-1.000000x1.281695x1.281695x1.28x8.679%8.68%11.124%11.1%-1.000000x-1.000000x1.266483x1.266483x1.27x15.130%15.1%19.161%19.2%20-1.000000x-1.000000x1.236634x1.236634x1.24x8.165%8.17%10.098%10.1%-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-1.000000x1.115759x1.115759x1.12x8.708%8.71%9.716%9.72%-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%49-2.202899x-2.202899x2.20x1.000000x1.000000x2.899%2.90%1.316%1.32%-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

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Marsh Township, selected other county subdivisions in North Dakota, and entities that contain the Marsh Township
Female
Male
10x5x0x5x10xFM#Lincoln-Fort RiceHazenStanleyCarringtonLangdonMandanFort TottenWahpetonDickinson NBurnt Crk-RiverviewMandanBeulahFort YatesNedroseWillistonBottineauBarnesHillsboroZIP 58072Valley CityValley City 2BowmanWest FargoJamestownTatmanBismarckOakesFort BertholdWatford CityMayvilleGraftonNorth DakotaGrand ForksFargoMidwestWest North CentralUnited StatesHarveyDickinsonApple CrkLisbonMinotCasseltonDevils LakeMarshGibbsMekinockNorth SiouxRugbyNorth RoletteHoraceHay CrkEast MortonLincolnHarrisonNew TownTurtle Mtn-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.697%4.70%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.559%0.56%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.587%4.59%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.517%1.52%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.417%1.42%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.235%8.24%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.955%1.96%7-1.000000x-1.000000x4.381867x4.381867x4.38x0.724%0.72%3.174%3.17%8-1.000000x-1.000000x3.964176x3.964176x3.96x1.391%1.39%5.516%5.52%9-1.000000x-1.000000x3.960022x3.960022x3.96x1.913%1.91%7.574%7.57%10-1.000000x-1.000000x3.941533x3.941533x3.94x0.890%0.89%3.508%3.51%11-1.000000x-1.000000x3.771400x3.771400x3.77x0.675%0.68%2.546%2.55%12-1.000000x-1.000000x3.559322x3.559322x3.56x0.714%0.71%2.542%2.54%13-1.000000x-1.000000x3.287265x3.287265x3.29x0.484%0.48%1.592%1.59%14-1.000000x-1.000000x3.116463x3.116463x3.12x1.006%1.01%3.135%3.14%15-1.000000x-1.000000x2.973659x2.973659x2.97x0.676%0.68%2.011%2.01%16-1.000000x-1.000000x2.963707x2.963707x2.96x0.970%0.97%2.874%2.87%-1.000000x-1.000000x2.815815x2.815815x2.82x0.628%0.63%1.768%1.77%17-1.000000x-1.000000x2.645662x2.645662x2.65x1.335%1.34%3.533%3.53%-1.000000x-1.000000x2.637955x2.637955x2.64x1.320%1.32%3.481%3.48%18-1.000000x-1.000000x2.523798x2.523798x2.52x1.303%1.30%3.288%3.29%-1.000000x-1.000000x2.444838x2.444838x2.44x0.507%0.51%1.239%1.24%19-1.000000x-1.000000x2.386875x2.386875x2.39x1.664%1.66%3.971%3.97%20-1.000000x-1.000000x2.261875x2.261875x2.26x0.900%0.90%2.035%2.03%21-1.000000x-1.000000x2.247082x2.247082x2.25x0.866%0.87%1.946%1.95%22-1.000000x-1.000000x2.119946x2.119946x2.12x2.230%2.23%4.727%4.73%23-1.000000x-1.000000x2.021196x2.021196x2.02x2.507%2.51%5.067%5.07%24-1.000000x-1.000000x1.922680x1.922680x1.92x1.877%1.88%3.608%3.61%25-1.000000x-1.000000x1.884442x1.884442x1.88x1.269%1.27%2.391%2.39%26-1.000000x-1.000000x1.824373x1.824373x1.82x2.161%2.16%3.943%3.94%27-1.000000x-1.000000x1.703316x1.703316x1.70x0.733%0.73%1.248%1.25%28-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%-1.000000x-1.000000x1.644249x1.644249x1.64x3.343%3.34%5.497%5.50%29-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%30-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.436893x1.436893x1.44x0.676%0.68%0.971%0.97%31-1.000000x-1.000000x1.423255x1.423255x1.42x2.030%2.03%2.889%2.89%32-1.000000x-1.000000x1.346441x1.346441x1.35x4.462%4.46%6.008%6.01%33-1.000000x-1.000000x1.206657x1.206657x1.21x1.319%1.32%1.592%1.59%34-1.000000x-1.000000x1.092634x1.092634x1.09x1.813%1.81%1.981%1.98%35-1.000000x-1.000000x1.044561x1.044561x1.04x2.509%2.51%2.621%2.62%36-1.000000x-1.000000x1.036274x1.036274x1.04x1.539%1.54%1.595%1.59%37-1.101449x-1.101449x1.10x1.000000x1.000000x8.696%8.70%7.895%7.89%-1.112634x-1.112634x1.11x1.000000x1.000000x1.707%1.71%1.534%1.53%38-1.390929x-1.390929x1.39x1.000000x1.000000x2.592%2.59%1.863%1.86%39-1.478421x-1.478421x1.48x1.000000x1.000000x1.377%1.38%0.932%0.93%40-1.487849x-1.487849x1.49x1.000000x1.000000x1.620%1.62%1.089%1.09%41-2.042296x-2.042296x2.04x1.000000x1.000000x1.309%1.31%0.641%0.64%42-2.195838x-2.195838x2.20x1.000000x1.000000x3.427%3.43%1.561%1.56%43-2.503026x-2.503026x2.50x1.000000x1.000000x5.710%5.71%2.281%2.28%44-2.811994x-2.811994x2.81x1.000000x1.000000x2.932%2.93%1.043%1.04%45-4.851399x-4.851399x4.85x1.000000x1.000000x2.280%2.28%0.470%0.47%46-7.335968x-7.335968x7.34x1.000000x1.000000x3.821%3.82%0.521%0.52%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.053%3.05%0.145%0.15%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.399%1.40%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 the Midwest

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

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Marsh Township, selected other county subdivisions in the Midwest, and entities that contain the Marsh 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 TownshipLawrenceZIP Code 58072ZIP 58072Sioux FallsValley City Public School District 2Valley City 2West North CentralBarnes CountyBarnesCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineNorth DakotaSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborMarsh TownshipMarsh33.464284%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%8,161339.860178%9.860178%9.9%5439.702326%9.702326%9.7%9,123349.192745%9.192745%9.2%5179.174633%9.174633%9.2%1,278,0511.28M9.115664%9.115664%9.1%7038.623103%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%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,057502.068966%2.068966%2.1%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Marsh Township, selected other county subdivisions in the Midwest, and entities that contain the Marsh Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMarsh TownshipMarshMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaNorth DakotaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldValley City Public School District 2Valley City 2Proviso TownshipProvisoZIP Code 58072ZIP 58072Worth TownshipWorthBarnes CountyBarnesMilwaukeeRockford 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%42,93542.9k948.965517%48.965517%49.0%7147.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%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%4,186,9564.19M28.952816%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%27,92127.9k3326.262447%26.262447%26.3%1,47726.237989%26.237989%26.2%27,03327.0k3425.422190%25.422190%25.4%1,40025.217641%25.217641%25.2%26,38926.4k3523.677386%23.677386%23.7%1,82623.517740%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#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Marsh Township, selected other county subdivisions in the Midwest, and entities that contain the Marsh Township
0%5%10%15%Count#Ann ArborMadisonMarsh TownshipMarshDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaNorth DakotaZIP Code 58072ZIP 58072Valley City Public School District 2Valley City 2Proviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandBarnes CountyBarnesToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k28.275862%8.275862%8.3%127.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.435475%2.435475%2.4%11,63211.6k2.396949%2.396949%2.4%1322.258179%2.258179%2.3%1272.213918%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%4,911391.906120%1.906120%1.9%1471.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Marsh Township, selected other county subdivisions in the Midwest, and entities that contain the Marsh Township
Female
Male
2x1x0x1xFM#ZIP 58072Cedar RapidsLincolnDetroitBarnesOmahaToledoNorth DakotaThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeValley City 2Kaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineMarsh-1.000000x-1.000000x1.281695x1.281695x1.28x8.679%8.68%11.124%11.1%-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-1.000000x1.236634x1.236634x1.24x8.165%8.17%10.098%10.1%-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-1.000000x1.115759x1.115759x1.12x8.708%8.71%9.716%9.72%-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%50-2.202899x-2.202899x2.20x1.000000x1.000000x2.899%2.90%1.316%1.32%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Marsh Township, selected other county subdivisions in the Midwest, and entities that contain the Marsh Township
Female
Male
1x0x1x2xFM#BarnesZIP 58072Valley City 2RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheNorth DakotaOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoMarshThornton-1.000000x-1.000000x2.963707x2.963707x2.96x0.970%0.97%2.874%2.87%-1.000000x-1.000000x2.645662x2.645662x2.65x1.335%1.34%3.533%3.53%-1.000000x-1.000000x2.523798x2.523798x2.52x1.303%1.30%3.288%3.29%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.101449x-1.101449x1.10x1.000000x1.000000x8.696%8.70%7.895%7.89%-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Marsh Township, selected other county subdivisions in the United States, and entities that contain the Marsh 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 HarrisWashingtonZIP Code 58072ZIP 58072AtlantaValley City Public School District 2Valley City 2West North CentralBarnes CountyBarnesSeattleNortheast TarrantNE TarrantNorth DakotaPlanoSeattle EastMarsh TownshipMarsh28.998944%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%46,51046.5k459.860178%9.860178%9.9%5439.538552%9.538552%9.5%37,37337.4k469.192745%9.192745%9.2%5179.174633%9.174633%9.2%1,278,0511.28M9.115664%9.115664%9.1%7038.833573%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%20,64420.6k494.913852%4.913852%4.9%20,32620.3k502.068966%2.068966%2.1%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Marsh Township, selected other county subdivisions in the United States, and entities that contain the Marsh Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleMarsh TownshipMarshBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoNorth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaValley City Public School District 2Valley City 2MiamiZIP Code 58072ZIP 58072Fort WorthSouthwest DallasSW DallasBarnes CountyBarnesMilwaukeeFresnoLas 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%372,018372k848.965517%48.965517%49.0%7146.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3628.172535%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%272,786273k3926.262447%26.262447%26.3%1,47726.011156%26.011156%26.0%178,455178k4025.422190%25.422190%25.4%1,40024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.677386%23.677386%23.7%1,82623.517740%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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Marsh Township, selected other county subdivisions in the United States, and entities that contain the Marsh Township
0%5%10%Count#WashingtonManhattanMarsh TownshipMarshSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited 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 DakotaZIP Code 58072ZIP 58072OntarioValley City Public School District 2Valley City 2Fort WorthLas VegasMilwaukeeBarnes CountyBarnesSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k28.275862%8.275862%8.3%127.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.435475%2.435475%2.4%11,63211.6k2.396949%2.396949%2.4%1322.324315%2.324315%2.3%9,688412.258179%2.258179%2.3%1272.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.906120%1.906120%1.9%1471.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Marsh Township, selected other county subdivisions in the United States, and entities that contain the Marsh Township
Female
Male
2x1x0x1xFM#1, CharlotteZIP 58072DetroitBarnesNorth DakotaBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeValley City 2United 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 PasoMarsh-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.281695x1.281695x1.28x8.679%8.68%11.124%11.1%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.236634x1.236634x1.24x8.165%8.17%10.098%10.1%-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-1.000000x1.115759x1.115759x1.12x8.708%8.71%9.716%9.72%-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%50-2.202899x-2.202899x2.20x1.000000x1.000000x2.899%2.90%1.316%1.32%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Marsh Township, selected other county subdivisions in the United States, and entities that contain the Marsh Township
Female
Male
1x0x1x2xFM#BarnesZIP 58072Valley City 2El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthNorth DakotaOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitMarsh-1.000000x-1.000000x2.963707x2.963707x2.96x0.970%0.97%2.874%2.87%-1.000000x-1.000000x2.645662x2.645662x2.65x1.335%1.34%3.533%3.53%-1.000000x-1.000000x2.523798x2.523798x2.52x1.303%1.30%3.288%3.29%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.101449x-1.101449x1.10x1.000000x1.000000x8.696%8.70%7.895%7.89%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
North Dakota
County:
Barnes
ZIP Code:
58072
Unified School District:
Valley City 2
Congressional District:
ND-At Large
State Senate District:
ND-24
State House District:
ND-24
Neighboring Townships:
Alta, Cuba, Green, Hobart, Nelson, Norma, Skandia, Valley
Nearby Townships:
Getchell, Hemen, Oakhill, Spring Creek, Springvale