Educational Attainment in Wales, Cavalier County, North Dakota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Cavalier County and Wales
Wales
Cavalier County
0%20%40%60%80%CountHigher Degree1H.S. Diploma2No H.S. Diploma29.523810%35.187810%9.523810%9.5%280.952381%55.811481%80.952381%81.0%179.523810%9.000709%9.523810%9.5%2
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 Cavalier County at large.
Scope: population of Cavalier County and Wales
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-72.934350%-72.934350%-72.9%9.524%9.52%35.188%35.2%45.046107%45.046107%+45.0%80.952%81.0%55.811%55.8%5.811774%5.811774%+5.8%9.524%9.52%9.001%9.00%
% percentage with given level in Wales
ref. percentage with given level in Cavalier 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 Cavalier County and Wales
Wales
Cavalier County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.744153%00.000000%0.000000%0.0%0.283487%00.000000%0.000000%0.0%2.374203%04.761905%15.272856%4.761905%4.8%14.761905%16.513111%4.761905%4.8%138.095238%27.462792%38.095238%38.1%842.857143%28.348689%42.857143%42.9%90.000000%0.000000%0.0%3.862509%09.523810%5.031892%9.523810%9.5%20.000000%0.000000%0.0%0.106308%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 Cavalier County at large.
Scope: population of Cavalier County and Wales
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.744%0.74%-100.000000%-100.000000%-100.0%0.000%0%0.283%0.28%-100.000000%-100.000000%-100.0%0.000%0%2.374%2.37%-68.821125%-68.821125%-68.8%4.762%4.76%15.273%15.3%-71.162886%-71.162886%-71.2%4.762%4.76%16.513%16.5%38.715822%38.715822%+38.7%38.095%38.1%27.463%27.5%51.178571%51.178571%+51.2%42.857%42.9%28.349%28.3%-100.000000%-100.000000%-100.0%0.000%0%3.863%3.86%89.268947%89.268947%+89.3%9.524%9.52%5.032%5.03%-100.000000%-100.000000%-100.0%0.000%0%0.106%0.11%
% percentage with given level in Wales
ref. percentage with given level in Cavalier 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 Cavalier County and Wales
More Females More Males
Cavalier County
Wales
1,000%500%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-62.500000%-26.283366%-62.500000%63%12.500%12.5%7.692%7.69%47.692308%6.235640%47.692308%48%62.500%62.5%92.308%92.3%-1,000.000000%-1,000.000000%> 1000%73.117113%25.000%25.0%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Cavalier County and Wales
More Females More Males
Cavalier County
Wales
1k%0k%1k%FMBachelor's1Associate's1Some CollegeHigh School2Less than H.S.3-41.836629%1,000.000000%1,000.000000%> 1000%0.000%0%7.692%7.69%-1,000.000000%-18.746945%-1,000.000000%> 1000%12.500%12.5%0.000%0%-62.500000%-13.665694%-62.500000%0k%50.000%50.0%30.769%30.8%392.307692%27.694445%392.307692%0k%12.500%12.5%61.538%61.5%-1,000.000000%-1,000.000000%> 1000%98.718620%25.000%25.0%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 Cavalier County and Wales
Wales
Cavalier County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3412.500000%9.144543%12.500000%12.5%180.000000%0.000000%0.0%15.757576%010.000000%0.000000%0.0%19.578313%070.000000%0.000000%0.0%28.616352%05
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 Cavalier County at large.
Scope: population of Cavalier County and Wales
100%50%0%%ref.65+45-6435-4425-3436.693548%36.693548%36.7%12.500%12.5%9.145%9.14%-100.000000%-100.000000%100.0%0.000%0%15.758%15.8%-100.000000%-100.000000%100.0%0.000%0%19.578%19.6%-100.000000%-100.000000%100.0%0.000%0%28.616%28.6%
% percentage in Wales with a Bachelor's degree
ref percentage in Cavalier 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 Cavalier County and Wales
More Females More Males
Cavalier County
Wales
0%500%1,000%FM65+-55.110089%1,000.000000%1,000.000000%> 1000%0.000%0%20.000%20.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Employment by Educational Attainment#10

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Cavalier County and Wales
Wales
Cavalier County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%79.318735%0100.000000%82.891832%100.000000%100.0%975.000000%79.753086%75.000000%75.0%30.000000%0.000000%0.0%66.265060%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#11

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Cavalier County and Wales
Female Male
Cavalier County
Wales
Shaded bar tips show excess over facing bar.
25%20%15%10%5%0%5%10%MFWhite1-0.000000%-25.000000%-6.038292%-25.000000%25.0%0.000000%6.038292%5.516630%0.000000%0.0%02
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#12

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Cavalier County and Wales
Female Male
Cavalier County
Wales
Shaded bar tips show excess over facing bar.
20%15%10%5%0%5%10%15%MFWhite1-0.000000%-15.477889%-6.466147%0.000000%0.0%0.000000%8.333333%15.477889%8.333333%8.3%10
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 North Dakota

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

No H.S. Diploma by County Subdivision#13

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Wales, selected other county subdivisions in North Dakota, and entities that contain Wales
0%5%10%15%20%Count#Fort TottenHarveyNorth RoletteTurtle MountainTurtle MtnFort YatesNorth SiouxOakesGraftonUnited States of AmericaUnited StatesBowmanRugbyHillsboroDevils LakeCarringtonValley CityLangdonMidwestBeulahJamestownLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…WalesWalesDickinsonWest North CentralWahpetonNew TownCavalier CountyCavalierFort BertholdHarrison TownshipHarrisonBottineauLisbonNorth DakotaMandan951100Tract 951100HazenTatman TownshipTatmanBismarckDickinson NorthDickinson NWillistonNedrose TownshipNedroseMinotGrand ForksApple Creek TownshipApple CrkFargoLincolnMayvilleWatford CityStanleyEast MortonMandanWest FargoHoraceCasseltonGibbs TownshipGibbsWaterford TownshipWaterfordZIP Code 58281ZIP 58281Hay 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%1,068179.523810%9.523810%9.5%2129.523810%9.523810%9.5%29.523810%9.523810%9.5%29.341662%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%122209.000709%9.000709%9.0%2548.935611%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%1,122257.639836%7.639836%7.6%1127.608696%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%29462.105263%2.105263%2.1%21.895551%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#14

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Wales, selected other county subdivisions in North Dakota, and entities that contain Wales
0%10%20%30%40%Count#Lincoln-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 TownshipTatmanHillsboroLincolnMandanStanleyTurtle MountainTurtle MtnZIP Code 58281ZIP 58281CarringtonJamestownDickinsonValley CityBowmanHazenOakesWatford CityWillistonWahpetonNew TownHarveyBottineauEast MortonNedrose TownshipNedroseLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…LangdonCavalier CountyCavalierDevils Lake951100Tract 951100Fort BertholdRugbyFort YatesBeulahNorth SiouxNorth RoletteLisbonGraftonFort TottenWalesWales43.156891%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%3012025.874815%25.874815%25.9%5252125.867508%25.867508%25.9%3282225.427070%25.427070%25.4%3872325.287356%25.287356%25.3%8802425.263158%25.263158%25.3%2424.751820%24.751820%24.8%3742524.699485%24.699485%24.7%2,5892624.698203%24.698203%24.7%3,5192724.412336%24.412336%24.4%1,1322824.373379%24.373379%24.4%2822924.141876%24.141876%24.1%4223023.974082%23.974082%24.0%3333123.930100%23.930100%23.9%6713223.859377%23.859377%23.9%3,6923321.863568%21.863568%21.9%1,0163421.577381%21.577381%21.6%2903521.060383%21.060383%21.1%2863620.404296%20.404296%20.4%3233720.248756%20.248756%20.2%4073820.105471%20.105471%20.1%3053918.957772%18.957772%19.0%42218.694362%18.694362%18.7%2524018.674699%18.674699%18.7%52718.187227%18.187227%18.2%9174117.939973%17.939973%17.9%26317.082786%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%66504.761905%4.761905%4.8%14.761905%4.761905%4.8%1
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#15

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Wales, selected other county subdivisions in North Dakota, and entities that contain Wales
0%1%2%3%4%5%Count#Apple Creek TownshipApple CrkBurnt Creek-RiverviewBurnt Crk-RiverviewGrand ForksMandanFargoHay Creek TownshipHay CrkOakesDickinson NorthDickinson NBismarckUnited States of AmericaUnited StatesMayvilleWest North CentralMidwestWest FargoFort BertholdStanleyCasseltonDickinsonLincoln-Fort RiceHoraceNorth DakotaValley CityMandanWillistonMekinock TownshipMekinockHarrison TownshipHarrisonEast MortonWahpetonMinotWatford CityFort YatesGibbs TownshipGibbsBeulahDevils LakeNew TownJamestownLisbonTatman TownshipTatman951100Tract 951100RugbyLincolnBottineauNorth SiouxHillsboroLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…Cavalier CountyCavalierNedrose TownshipNedroseGraftonNorth RoletteFort TottenBowmanHarveyTurtle MountainTurtle MtnCarringtonLangdonHazenZIP Code 58281ZIP 58281WalesWalesWaterford 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%10163.743701%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%11,63211.6k2.350658%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%14341.364256%1.364256%1.4%201.355626%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%13391.033243%1.033243%1.0%231.027640%1.027640%1.0%290.988794%0.988794%1.0%15400.985389%0.985389%1.0%29410.959233%0.959233%1.0%20420.921053%0.921053%0.9%7430.864304%0.864304%0.9%10440.810015%0.810015%0.8%11450.775862%0.775862%0.8%27460.727995%0.727995%0.7%11470.667656%0.667656%0.7%9480.286041%0.286041%0.3%5490.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%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#16

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 Wales, selected other county subdivisions in North Dakota, and entities that contain Wales
Female
Male
10x5x0x5x10xFM#Hay CrkLincoln-Fort RiceGibbsWaterfordGraftonDickinson NNew TownTract 951100HoraceEast MortonTatmanApple CrkCavalierJamestownWest FargoWahpetonLangdon-Milton-Osnabrock 23Langdon-Milton-Os…Devils LakeHarrisonLangdonOakesFort TottenTurtle MtnBowmanMandanNorth DakotaRugbyFargoValley CityNorth SiouxNorth RoletteWest North CentralMidwestBismarckUnited StatesDickinsonHillsboroBottineauHarveyFort BertholdWillistonMinotWatford CityStanleyGrand ForksBurnt Crk-RiverviewNedroseLisbonHazenFort YatesCarringtonBeulahCasseltonMayvilleMekinockLincolnMandanZIP 58281WalesWales-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-1.000000x2.476090x2.476090x2.48x4.265%4.26%10.560%10.6%-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-1.000000x1.731171x1.731171x1.73x6.576%6.58%11.384%11.4%-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-1.000000x1.658223x1.658223x1.66x7.206%7.21%11.949%11.9%-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-1.000000x1.266483x1.266483x1.27x15.130%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.348%4.35%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x25.000%25.0%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x25.000%25.0%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#17

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Wales, selected other county subdivisions in the Midwest, and entities that contain Wales
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 FallsLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…WalesWalesWest North CentralCavalier CountyCavalierCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineNorth DakotaSchaumburg TownshipSchaumburg951100Tract 951100LincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborZIP Code 58281ZIP 5828133.464284%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%9,123349.523810%9.523810%9.5%2129.523810%9.523810%9.5%29.523810%9.523810%9.5%29.174633%9.174633%9.2%1,278,0511.28M9.000709%9.000709%9.0%2548.623103%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%7,226387.639836%7.639836%7.6%1127.092309%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%2,057502.105263%2.105263%2.1%2
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#18

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Wales, selected other county subdivisions in the Midwest, and entities that contain Wales
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaNorth DakotaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoZIP Code 58281ZIP 58281Worth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…Cavalier CountyCavalierToledo951100Tract 951100DaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitWalesWales72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%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%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.263158%25.263158%25.3%2425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.957772%18.957772%19.0%42218.674699%18.674699%18.7%52718.048021%18.048021%18.0%33,17133.2k4217.939973%17.939973%17.9%26317.635555%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%59,72359.7k504.761905%4.761905%4.8%14.761905%4.761905%4.8%1
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#19

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Wales, selected other county subdivisions in the Midwest, and entities that contain Wales
0%5%10%15%Count#Ann ArborMadisonDowners 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 DakotaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas City951100Tract 951100DetroitDaytonWayne TownshipWayneWarrenLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…Cavalier CountyCavalierBlue TownshipAurora TownshipAuroraThornton TownshipThorntonZIP Code 58281ZIP 58281WalesWales17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%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%11,63211.6k2.213918%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%1,300431.364256%1.364256%1.4%201.318660%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%963471.033243%1.033243%1.0%231.027640%1.027640%1.0%290.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%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#20

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 Wales, selected other county subdivisions in the Midwest, and entities that contain Wales
Female
Male
10x5x0xFM#Tract 951100CavalierLangdon-Milton-Osnabrock 23Langdon-Milton-Os…Cedar RapidsLincolnDetroitOmahaToledoNorth DakotaThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineZIP 58281WalesWales-1.000000x-1.000000x2.476090x2.476090x2.48x4.265%4.26%10.560%10.6%-1.000000x-1.000000x1.731171x1.731171x1.73x6.576%6.58%11.384%11.4%-1.000000x-1.000000x1.658223x1.658223x1.66x7.206%7.21%11.949%11.9%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.348%4.35%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x25.000%25.0%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x25.000%25.0%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#21

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Wales, selected other county subdivisions in the United States, and entities that contain Wales
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 HarrisWashingtonAtlantaLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…WalesWalesWest North CentralCavalier CountyCavalierSeattleNortheast TarrantNE TarrantNorth Dakota951100Tract 951100PlanoSeattle EastZIP Code 58281ZIP 5828128.998944%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%37,37337.4k469.523810%9.523810%9.5%2129.523810%9.523810%9.5%29.523810%9.523810%9.5%29.174633%9.174633%9.2%1,278,0511.28M9.000709%9.000709%9.0%2548.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.963451%7.963451%8.0%38,03438.0k7.639836%7.639836%7.6%1125.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k502.105263%2.105263%2.1%2
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#22

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Wales, selected other county subdivisions in the United States, and entities that contain Wales
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 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 VlyOntarioPhiladelphiaMiamiZIP Code 58281ZIP 58281Fort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…Cavalier CountyCavalier951100Tract 951100San BernardinoSan Antonio CentralSan Antonio CntrlDetroitWalesWales60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%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%272,786273k3926.011156%26.011156%26.0%178,455178k4025.263158%25.263158%25.3%2424.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4718.957772%18.957772%19.0%42218.674699%18.674699%18.7%52717.939973%17.939973%17.9%26316.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k504.761905%4.761905%4.8%14.761905%4.761905%4.8%1
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#23

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Wales, selected other county subdivisions in the United States, and entities that contain Wales
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…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 DakotaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronx951100Tract 951100DetroitLangdon-Milton-Osnabrock School District 23Langdon-Milton-Os…Cavalier CountyCavalierZIP Code 58281ZIP 58281WalesWales12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%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%11,63211.6k2.324315%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%15,06415.1k491.364256%1.364256%1.4%201.318660%1.318660%1.3%5,693501.033243%1.033243%1.0%231.027640%1.027640%1.0%290.000000%0.000000%0.0%00.000000%0.000000%0.0%00.000000%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#24

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 Wales, selected other county subdivisions in the United States, and entities that contain Wales
Female
Male
10x5x0xFM#Tract 951100CavalierLangdon-Milton-Osnabrock 23Langdon-Milton-Os…1, 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 PasoZIP 58281WalesWales-1.000000x-1.000000x2.476090x2.476090x2.48x4.265%4.26%10.560%10.6%-1.000000x-1.000000x1.731171x1.731171x1.73x6.576%6.58%11.384%11.4%-1.000000x-1.000000x1.658223x1.658223x1.66x7.206%7.21%11.949%11.9%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.348%4.35%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x25.000%25.0%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x25.000%25.0%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

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State:
North Dakota
County:
Cavalier
City:
Wales
ZIP Code:
58281
Unified School District:
Langdon-Milton-Osnabrock 23
Congressional District:
ND-At Large
State Senate District:
ND-10
State House District:
ND-10
Neighboring Townships:
Dresden, Linden, Minto, South Dresden
Nearby Townships:
Byron, Elgin, Grey, Huron, Langdon, Moscow, Mount Carmel, Waterloo