Educational Attainment in Towner County, North Dakota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of North Dakota and Towner County
Towner County
North Dakota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.312883%41.550480%33.312883%33.3%54358.957055%50.486069%58.957055%59.0%9617.730061%7.963451%7.730061%7.7%126
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 North Dakota at large.
Scope: population of North Dakota and Towner County
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-19.825514%-19.825514%-19.8%33.313%33.3%41.550%41.6%16.778859%16.778859%+16.8%58.957%59.0%50.486%50.5%-2.930762%-2.930762%-2.9%7.730%7.73%7.963%7.96%
% percentage with given level in Towner County
ref. percentage with given level in North Dakota
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 North Dakota and Towner County
Towner County
North Dakota
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.101324%00.184049%1.334151%0.184049%0.2%33.680982%5.241129%3.680982%3.7%6014.723926%20.495931%14.723926%14.7%24014.723926%13.377945%14.723926%14.7%24025.705521%23.039654%25.705521%25.7%41933.251534%27.446415%33.251534%33.3%5424.478528%4.436283%4.478528%4.5%733.067485%2.970434%3.067485%3.1%500.184049%0.556734%0.184049%0.2%3
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 North Dakota at large.
Scope: population of North Dakota and Towner County
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%1.101%1.10%-86.204782%-86.204782%-86.2%0.184%0.18%1.334%1.33%-29.767395%-29.767395%-29.8%3.681%3.68%5.241%5.24%-28.161709%-28.161709%-28.2%14.724%14.7%20.496%20.5%10.061200%10.061200%+10.1%14.724%14.7%13.378%13.4%11.570779%11.570779%+11.6%25.706%25.7%23.040%23.0%21.150735%21.150735%+21.2%33.252%33.3%27.446%27.4%0.952243%0.952243%+1.0%4.479%4.48%4.436%4.44%3.267227%3.267227%+3.3%3.067%3.07%2.970%2.97%-66.941283%-66.941283%-66.9%0.184%0.18%0.557%0.56%
% percentage with given level in Towner County
ref. percentage with given level in North Dakota
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 North Dakota and Towner County
More Females More Males
North Dakota
Towner County
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-8.873769%-13.706378%-8.873769%9%34.679%34.7%31.853%31.9%0.174492%7.780804%0.174492%0%58.907%58.9%59.010%59.0%42.470389%21.685289%42.470389%42%6.413%6.41%9.137%9.14%
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 North Dakota and Towner County
More Females More Males
North Dakota
Towner County
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%87.408914%1,000.000000%> 1000%0.000%0%0.381%0.38%-36.951163%84.563913%84.563913%85%2.613%2.61%4.822%4.82%-25.356255%20.091191%20.091191%20%13.420%13.4%16.117%16.1%-77.025441%-2.271141%-77.025441%77%18.646%18.6%10.533%10.5%31.292526%1.885831%31.292526%31%22.328%22.3%29.315%29.3%-23.182492%-23.182492%23%13.005795%36.580%36.6%29.695%29.7%44.768299%32.312897%44.768299%45%3.682%3.68%5.330%5.33%35.994462%9.639390%35.994462%36%2.613%2.61%3.553%3.55%113.705584%9.639542%113.705584%114%0.119%0.12%0.254%0.25%
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 North Dakota and Towner County
Towner County
North Dakota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-348.586762%13.407800%8.586762%8.6%4855919.387755%19.145314%19.387755%19.4%13368615.859031%24.643083%15.859031%15.9%3622714.556962%26.502973%14.556962%14.6%23158
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 North Dakota at large.
Scope: population of North Dakota and Towner County
40%30%20%10%0%%ref.65+45-6435-4425-34-35.956964%-35.956964%36.0%8.587%8.59%13.408%13.4%1.266320%1.266320%1.3%19.388%19.4%19.145%19.1%-35.645101%-35.645101%35.6%15.859%15.9%24.643%24.6%-45.074230%-45.074230%45.1%14.557%14.6%26.503%26.5%
% percentage in Towner County with a Bachelor's degree
ref percentage in North Dakota 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 North Dakota and Towner County
More Females More Males
North Dakota
Towner County
50%0%50%100%FM65+45-6435-4425-34106.000000%6.176588%106.000000%106.0%5.825%5.83%12.000%12.0%-27.234590%31.021195%31.021195%31.0%16.765%16.8%21.965%22.0%-91.379310%-30.723741%-91.379310%91.4%20.690%20.7%10.811%10.8%-63.636364%-52.646379%-63.636364%63.6%18.182%18.2%11.111%11.1%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of North Dakota and Towner County
Towner County
North Dakota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$41,750.000000$61,646.000000$41,750.000000$41.8k633.865%3.87%$54,034.000000$45,053.000000$54,034.000000$54.0k24014.724%14.7%$46,250.000000$37,296.000000$46,250.000000$46.3k65940.429%40.4%$30,172.000000$32,314.000000$30,172.000000$30.2k54233.252%33.3%$20,486.000000$26,742.000000$20,486.000000$20.5k1267.730%7.73%$41,570.000000$39,688.000000$41,570.000000$41.6k1,630100.000%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 North Dakota and Towner County
Female Male
North Dakota
Towner County
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40k$60kFMBachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-41,875.000000$-39,382.000000$-41,875.000000$41.9k$41,875.000000$19,931.000000$39,382.000000$16,127.000000$61,806.000000$61.8k113127$-30,526.000000$-28,675.000000$-30,526.000000$30.5k$30,526.000000$30,099.000000$28,675.000000$20,544.000000$60,625.000000$60.6k345314$-13,269.000000$-23,743.000000$-13,269.000000$13.3k$13,269.000000$30,731.000000$23,743.000000$17,218.000000$44,000.000000$44.0k308234$-2,499.000000$-15,830.000000$-2,499.000000$2.5k$2,499.000000$18,612.000000$15,830.000000$18,028.000000$21,111.000000$21.1k5472$-27,414.000000$-30,996.000000$-27,414.000000$27.4k$27,414.000000$26,731.000000$30,996.000000$17,336.000000$54,145.000000$54.1k842788
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 North Dakota and Towner County
Towner County
North Dakota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.897436%88.930958%85.897436%85.9%20175.157895%83.465273%75.157895%75.2%35769.182390%77.098863%69.182390%69.2%22061.363636%61.347166%61.363636%61.4%27
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 North Dakota and Towner County
Female Male
North Dakota
Towner County
Shaded bar tips show excess over facing bar.
10%0%10%20%30%MFWhite1Hispanic2Other1-6.362379%-6.125000%-6.362379%6.4%6.362379%1.350747%6.125000%1.682665%7.713126%7.7%5746-0.000000%-17.484451%0.000000%0.0%0.000000%0.000000%17.484451%5.479009%0.000000%0.0%00-7.766990%-16.387584%-7.766990%7.8%7.766990%29.733010%16.387584%1.655461%37.500000%37.5%158
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 North Dakota and Towner County
Female Male
North Dakota
Towner County
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1Hispanic2Other1-16.597510%-26.643974%-4.795177%-16.597510%16.6%16.597510%4.782733%26.643974%21.380244%21.4%158120-0.000000%-16.666667%-14.381495%-6.074621%-16.666667%16.7%0.000000%14.381495%0.000000%0.0%02-12.621359%-12.500860%-8.314549%-12.621359%12.6%12.621359%12.378641%12.500860%25.000000%25.0%1013
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by Place in Towner County

There are 7 places that are fully or partially contained within Towner County (6 fully and 1 partially). This section compares all 7 of those to each other, Towner County, and other entities that contain or substantially overlap with Towner County.

No H.S. Diploma by Place#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Towner County, selected places in Towner County, and entities that contain Towner County
0%5%10%Count#United States of AmericaUnited StatesEgelandMidwestBisbeeRocklakeCandoWest North CentralNorth DakotaTowner CountyTownerHansboroSarlesPerth13.020590%13.020590%13.0%27,818,38027.8M11.111111%11.111111%11.1%3110.244520%10.244520%10.2%4,641,8354.64M9.708738%9.708738%9.7%1029.677419%9.677419%9.7%939.433962%9.433962%9.4%8049.174633%9.174633%9.2%1,278,0511.28M7.963451%7.963451%8.0%38,03438.0k7.730061%7.730061%7.7%1267.692308%7.692308%7.7%150.000000%0.000000%0.0%060.000000%0.000000%0.0%07
Count number of people in category
# rank of place out of 7 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Towner County, selected places in Towner County, and entities that contain Towner County
0%50%100%Count#PerthHansboroUnited States of AmericaUnited StatesWest North CentralMidwestNorth DakotaSarlesRocklakeCandoTowner CountyTownerBisbeeEgeland100.000000%100.000000%100.0%2153.846154%53.846154%53.8%7230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.172535%28.172535%28.2%134,554135k27.272727%27.272727%27.3%3326.881720%26.881720%26.9%25421.108491%21.108491%21.1%179518.588957%18.588957%18.6%3036.796117%6.796117%6.8%763.703704%3.703704%3.7%17
Count number of people in category
# rank of place out of 7 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Towner County, selected places in Towner County, and entities that contain Towner County
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestNorth DakotaCandoTowner CountyTownerBisbeeRocklakeEgelandHansboroSarlesPerth3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.435475%2.435475%2.4%11,63211.6k0.353774%0.353774%0.4%310.184049%0.184049%0.2%30.000000%0.000000%0.0%020.000000%0.000000%0.0%030.000000%0.000000%0.0%040.000000%0.000000%0.0%050.000000%0.000000%0.0%060.000000%0.000000%0.0%07
Count number of people in category
# rank of place out of 7 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 Place#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Towner County, selected places in Towner County, and entities that contain Towner County
Female
Male
10x5x0x5x10xFM#HansboroBisbeeCandoTownerRocklakeNorth DakotaWest North CentralMidwestUnited StatesEgeland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.091%9.09%1-1.000000x-1.000000x2.036364x2.036364x2.04x6.250%6.25%12.727%12.7%2-1.000000x-1.000000x1.762453x1.762453x1.76x7.036%7.04%12.401%12.4%3-1.000000x-1.000000x1.424704x1.424704x1.42x6.413%6.41%9.137%9.14%-1.000000x-1.000000x1.277174x1.277174x1.28x8.511%8.51%10.870%10.9%4-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-10.000000x-10.000000x> 10.0x1.000000x1.000000x23.077%23.1%0.000%0%5
F percentage of females in category
M percentage of males in category
# rank of place out of 5 by male-to-female sex ratio

Over-Education Sex Ratio by Place#19

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 Towner County, selected places in Towner County, and entities that contain Towner County
Female
Male
0x5x10xFM#TownerCandoNorth DakotaMidwestWest North CentralUnited States-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.381%0.38%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.792%0.79%1-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%-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%
F percentage of females in category
M percentage of males in category
# rank of place out of 1 by male-to-female sex ratio

Educational Attainment by County Subdivision in Towner County

There are 35 county subdivisions in Towner County. This section compares all 35 of those to each other, Towner County, and other entities that contain or substantially overlap with Towner County.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Towner County, selected county subdivisions in Towner County, and entities that contain Towner County
0%5%10%15%20%Count#Smith TownshipSmithMount View TownshipMt VwSidney TownshipSidneyVirginia TownshipVirginiaUnited States of AmericaUnited StatesEgelandMidwestBisbeeRocklakeCandoWest North CentralArmourdale TownshipArmourdaleNorth DakotaTowner CountyTownerHansboroDash TownshipSorenson TownshipSorensonCando TownshipCandoTeddy TownshipTeddyAtkins TownshipAtkinsMonroe TownshipMonroeHowell TownshipHowellCrocus TownshipCrocusGrainfield TownshipGrainfieldSpringfield TownshipSpringfieldTwin Hill TownshipTwin HlNew City TownshipNew CityOlson TownshipOlsonBethel TownshipBethelZion TownshipPicton TownshipPictonRock Lake TownshipRock LkGerrard TownshipGerrardPaulson TownshipPaulsonCoolin TownshipCoolinPerthLansing TownshipLansing22.222222%22.222222%22.2%2121.739130%21.739130%21.7%5218.181818%18.181818%18.2%4313.333333%13.333333%13.3%2413.020590%13.020590%13.0%27,818,38027.8M11.111111%11.111111%11.1%3510.244520%10.244520%10.2%4,641,8354.64M9.708738%9.708738%9.7%1069.677419%9.677419%9.7%979.433962%9.433962%9.4%8089.174633%9.174633%9.2%1,278,0511.28M8.695652%8.695652%8.7%297.963451%7.963451%8.0%38,03438.0k7.730061%7.730061%7.7%1267.692308%7.692308%7.7%1107.500000%7.500000%7.5%3117.142857%7.142857%7.1%1125.263158%5.263158%5.3%3133.448276%3.448276%3.4%1140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%032
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Towner County, selected county subdivisions in Towner County, and entities that contain Towner County
0%50%100%Count#PerthPaulson TownshipPaulsonBethel TownshipBethelZion TownshipHansboroMonroe TownshipMonroeHowell TownshipHowellTeddy TownshipTeddyUnited States of AmericaUnited StatesWest North CentralMidwestSorenson TownshipSorensonNorth DakotaRocklakeMount View TownshipMt VwDash TownshipCandoTowner CountyTownerPicton TownshipPictonArmourdale TownshipArmourdaleSidney TownshipSidneyVirginia TownshipVirginiaCrocus TownshipCrocusBisbeeEgelandAtkins TownshipAtkinsCando TownshipCandoGrainfield TownshipGrainfieldSpringfield TownshipSpringfieldTwin Hill TownshipTwin HlNew City TownshipNew CityOlson TownshipOlsonSmith TownshipSmithRock Lake TownshipRock LkGerrard TownshipGerrardCoolin TownshipCoolinLansing TownshipLansing100.000000%100.000000%100.0%2162.500000%62.500000%62.5%5257.142857%57.142857%57.1%4357.142857%57.142857%57.1%4453.846154%53.846154%53.8%7548.387097%48.387097%48.4%15632.258065%32.258065%32.3%10731.034483%31.034483%31.0%9830.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.571429%28.571429%28.6%4928.172535%28.172535%28.2%134,554135k26.881720%26.881720%26.9%251026.086957%26.086957%26.1%61122.500000%22.500000%22.5%91221.108491%21.108491%21.1%1791318.588957%18.588957%18.6%30318.181818%18.181818%18.2%21417.391304%17.391304%17.4%41513.636364%13.636364%13.6%31613.333333%13.333333%13.3%21711.904762%11.904762%11.9%5186.796117%6.796117%6.8%7193.703704%3.703704%3.7%1200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%032
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Towner County, selected county subdivisions in Towner County, and entities that contain Towner County
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestNorth DakotaCandoTowner CountyTownerBisbeeAtkins TownshipAtkinsRocklakeCando TownshipCandoDash TownshipMonroe TownshipMonroeHowell TownshipHowellCrocus TownshipCrocusGrainfield TownshipGrainfieldArmourdale TownshipArmourdaleTeddy TownshipTeddySidney TownshipSidneyEgelandSpringfield TownshipSpringfieldVirginia TownshipVirginiaMount View TownshipMt VwTwin Hill TownshipTwin HlHansboroNew City TownshipNew CityOlson TownshipOlsonBethel TownshipBethelSorenson TownshipSorensonZion TownshipSmith TownshipSmithPicton TownshipPictonRock Lake TownshipRock LkGerrard TownshipGerrardPaulson TownshipPaulsonCoolin TownshipCoolinPerthLansing TownshipLansing3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.435475%2.435475%2.4%11,63211.6k0.353774%0.353774%0.4%310.184049%0.184049%0.2%30.000000%0.000000%0.0%020.000000%0.000000%0.0%030.000000%0.000000%0.0%040.000000%0.000000%0.0%050.000000%0.000000%0.0%060.000000%0.000000%0.0%070.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%032
Count number of people in category
# rank of county subdivision out of 32 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#23

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 Towner County, selected county subdivisions in Towner County, and entities that contain Towner County
Female
Male
10x5x0x5x10xFM#SidneyVirginiaHansboroSorensonSmithBisbeeDash TownshipCandoTownerRocklakeNorth DakotaWest North CentralMidwestUnited StatesArmourdaleCandoTeddyEgelandMt Vw-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%40.000%40.0%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%28.571%28.6%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.091%9.09%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.500%12.5%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%40.000%40.0%5-1.000000x-1.000000x2.036364x2.036364x2.04x6.250%6.25%12.727%12.7%6-1.000000x-1.000000x2.000000x2.000000x2.00x5.000%5.00%10.000%10.0%7-1.000000x-1.000000x1.762453x1.762453x1.76x7.036%7.04%12.401%12.4%8-1.000000x-1.000000x1.424704x1.424704x1.42x6.413%6.41%9.137%9.14%-1.000000x-1.000000x1.277174x1.277174x1.28x8.511%8.51%10.870%10.9%9-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.090909x-1.090909x1.09x1.000000x1.000000x9.091%9.09%8.333%8.33%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x11.538%11.5%0.000%0%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.333%8.33%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x23.077%23.1%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x45.455%45.5%0.000%0%14
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 14 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

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 Towner County, selected county subdivisions in Towner County, and entities that contain Towner County
Female
Male
0x5x10xFM#TownerCandoNorth DakotaMidwestWest North CentralUnited States-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.381%0.38%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.792%0.79%1-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%-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%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 1 by male-to-female sex ratio

Educational Attainment by County in North Dakota

There are 53 counties in North Dakota. This section compares Towner County to the 50 most populous counties in North Dakota and to those entities that contain or substantially overlap with Towner County. The least populous of the compared counties has a population of 1,768.

No H.S. Diploma by County#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Towner County, selected other counties in North Dakota, and entities that contain Towner County
0%5%10%15%Count#McIntosh CountyMcIntoshRolette CountyRoletteLogan CountyLoganWells CountyWellsEmmons CountyEmmonsBenson CountyBensonSioux CountySiouxLaMoure CountyLaMoureWalsh CountyWalshUnited States of AmericaUnited StatesGriggs CountyGriggsDickey CountyDickeyHettinger CountyHettingerOliver CountyOliverDivide CountyDividePierce CountyPierceGrant CountyGrantFoster CountyFosterPembina CountyPembinaBurke CountyBurkeEddy CountyEddyBowman CountyBowmanMidwestStutsman CountyStutsmanRansom CountyRansomMcHenry CountyMcHenryMercer CountyMercerStark CountyStarkBottineau CountyBottineauWest North CentralBarnes CountyBarnesRamsey CountyRamseyKidder CountyKidderCavalier CountyCavalierDunn CountyDunnRichland CountyRichlandMcLean CountyMcLeanNelson CountyNelsonSargent CountySargentMountrail CountyMountrailNorth DakotaMorton CountyMortonRenville CountyRenvilleTraill CountyTraillTowner CountyTownerWilliams CountyWilliamsMcKenzie CountyMcKenzieGolden Valley CountyGolden ValleyWard CountyWardBurleigh CountyBurleighGrand Forks CountyGrand ForksSteele CountySteeleCass CountyCassAdams CountyAdams18.417334%18.417334%18.4%391116.043689%16.043689%16.0%1,322215.590659%15.590659%15.6%227315.205610%15.205610%15.2%477415.163769%15.163769%15.2%375515.022015%15.022015%15.0%580614.267129%14.267129%14.3%329713.719512%13.719512%13.7%405813.114754%13.114754%13.1%1,008913.020590%13.020590%13.0%27,818,38027.8M12.355658%12.355658%12.4%2141012.319456%12.319456%12.3%4351112.096361%12.096361%12.1%2361212.090484%12.090484%12.1%1551311.791129%11.791129%11.8%2101411.707163%11.707163%11.7%3711511.343612%11.343612%11.3%2061611.255230%11.255230%11.3%2691711.061862%11.061862%11.1%5741811.059908%11.059908%11.1%1681910.927348%10.927348%10.9%1852010.248307%10.248307%10.2%2272110.244520%10.244520%10.2%4,641,8354.64M10.100247%10.100247%10.1%1,4712210.046729%10.046729%10.0%3872310.021946%10.021946%10.0%411249.434577%9.434577%9.4%579259.354177%9.354177%9.4%1,825269.176875%9.176875%9.2%427279.174633%9.174633%9.2%1,278,0511.28M9.115664%9.115664%9.1%703289.096628%9.096628%9.1%723299.034792%9.034792%9.0%161309.000709%9.000709%9.0%254318.961786%8.961786%9.0%265328.579882%8.579882%8.6%899338.534137%8.534137%8.5%595348.347751%8.347751%8.3%193358.273381%8.273381%8.3%230368.147303%8.147303%8.1%500377.963451%7.963451%8.0%38,03438.0k7.940963%7.940963%7.9%1,641387.839721%7.839721%7.8%135397.781033%7.781033%7.8%425407.730061%7.730061%7.7%126417.675417%7.675417%7.7%1,573427.632999%7.632999%7.6%495437.599030%7.599030%7.6%94446.680057%6.680057%6.7%2,827456.595430%6.595430%6.6%4,012466.335234%6.335234%6.3%2,555475.926947%5.926947%5.9%86485.530988%5.530988%5.5%5,741494.042806%4.042806%4.0%6850
Count number of people in category
# rank of county 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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Towner County, selected other counties in North Dakota, and entities that contain Towner County
0%10%20%30%Count#Cass CountyCassBurleigh CountyBurleighGrand Forks CountyGrand ForksUnited States of AmericaUnited StatesWest North CentralMidwestNorth DakotaDickey CountyDickeyAdams CountyAdamsTraill CountyTraillWard CountyWardMorton CountyMortonStark CountyStarkMcKenzie CountyMcKenzieStutsman CountyStutsmanBarnes CountyBarnesMountrail CountyMountrailSteele CountySteeleDivide CountyDivideLaMoure CountyLaMoureWilliams CountyWilliamsRolette CountyRoletteGolden Valley CountyGolden ValleyEddy CountyEddyBowman CountyBowmanRamsey CountyRamseyRichland CountyRichlandFoster CountyFosterBottineau CountyBottineauWells CountyWellsBurke CountyBurkeMcHenry CountyMcHenryMercer CountyMercerDunn CountyDunnGriggs CountyGriggsPembina CountyPembinaKidder CountyKidderNelson CountyNelsonSargent CountySargentCavalier CountyCavalierTowner CountyTownerMcIntosh CountyMcIntoshMcLean CountyMcLeanGrant CountyGrantOliver CountyOliverRansom CountyRansomRenville CountyRenvilleWalsh CountyWalshSioux CountySiouxEmmons CountyEmmonsBenson CountyBensonPierce CountyPierceLogan CountyLoganHettinger CountyHettinger37.364278%37.364278%37.4%38,78338.8k134.226533%34.226533%34.2%20,82020.8k233.094471%33.094471%33.1%13,34713.3k330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.172535%28.172535%28.2%134,554135k27.952421%27.952421%28.0%987427.526754%27.526754%27.5%463527.169535%27.169535%27.2%1,484626.377599%26.377599%26.4%11,16311.2k725.298814%25.298814%25.3%5,228824.695028%24.695028%24.7%4,818924.579800%24.579800%24.6%1,5941024.533095%24.533095%24.5%3,5731123.677386%23.677386%23.7%1,8261223.643474%23.643474%23.6%1,4511323.156444%23.156444%23.2%3361423.076923%23.076923%23.1%4111522.527100%22.527100%22.5%6651622.509027%22.509027%22.5%4,6131722.487864%22.487864%22.5%1,8531822.312045%22.312045%22.3%2761922.150030%22.150030%22.2%3752021.941309%21.941309%21.9%4862121.879718%21.879718%21.9%1,7392221.864860%21.864860%21.9%2,2912321.631799%21.631799%21.6%5172421.276596%21.276596%21.3%9902521.262353%21.262353%21.3%6672620.868993%20.868993%20.9%3172720.751036%20.751036%20.8%8512820.661561%20.661561%20.7%1,2682920.459926%20.459926%20.5%6053020.265589%20.265589%20.3%3513120.235113%20.235113%20.2%1,0503219.696970%19.696970%19.7%3513319.420415%19.420415%19.4%4493418.956835%18.956835%19.0%5273518.674699%18.674699%18.7%5273618.588957%18.588957%18.6%3033718.276024%18.276024%18.3%3883818.273092%18.273092%18.3%1,2743918.061674%18.061674%18.1%3284017.394696%17.394696%17.4%2234117.211838%17.211838%17.2%6634217.189315%17.189315%17.2%2964316.718709%16.718709%16.7%1,2854416.608846%16.608846%16.6%3834515.285079%15.285079%15.3%3784614.996115%14.996115%15.0%5794714.010729%14.010729%14.0%4444813.804945%13.804945%13.8%2014913.787801%13.787801%13.8%26950
Count number of people in category
# rank of county 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#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Towner County, selected other counties in North Dakota, and entities that contain Towner County
0%1%2%3%Count#Adams CountyAdamsCass CountyCassGrand Forks CountyGrand ForksBurleigh CountyBurleighUnited States of AmericaUnited StatesDickey CountyDickeyWest North CentralMidwestNorth DakotaStark CountyStarkRamsey CountyRamseyMorton CountyMortonWilliams CountyWilliamsBarnes CountyBarnesOliver CountyOliverWard CountyWardEddy CountyEddyMcKenzie CountyMcKenzieMountrail CountyMountrailWalsh CountyWalshStutsman CountyStutsmanGrant CountyGrantMercer CountyMercerMcIntosh CountyMcIntoshRichland CountyRichlandBottineau CountyBottineauSioux CountySiouxRansom CountyRansomDunn CountyDunnPembina CountyPembinaTraill CountyTraillCavalier CountyCavalierRolette CountyRolettePierce CountyPierceLaMoure CountyLaMoureWells CountyWellsBenson CountyBensonBowman CountyBowmanRenville CountyRenvilleMcHenry CountyMcHenryEmmons CountyEmmonsFoster CountyFosterMcLean CountyMcLeanHettinger CountyHettingerGriggs CountyGriggsKidder CountyKidderGolden Valley CountyGolden ValleyNelson CountyNelsonDivide CountyDivideBurke CountyBurkeLogan CountyLoganSargent CountySargentSteele CountySteeleTowner CountyTowner3.864447%3.864447%3.9%6513.797798%3.797798%3.8%3,94223.778825%3.778825%3.8%1,52433.358540%3.358540%3.4%2,04343.336158%3.336158%3.3%7,127,6737.13M3.001982%3.001982%3.0%10652.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.435475%2.435475%2.4%11,63211.6k2.373142%2.373142%2.4%46362.365375%2.365375%2.4%18872.071135%2.071135%2.1%42882.005465%2.005465%2.0%41191.906120%1.906120%1.9%147101.794072%1.794072%1.8%23111.663516%1.663516%1.7%704121.653869%1.653869%1.7%28131.572860%1.572860%1.6%102141.450220%1.450220%1.5%89151.444184%1.444184%1.4%111161.441912%1.441912%1.4%210171.431718%1.431718%1.4%26181.417631%1.417631%1.4%87191.413095%1.413095%1.4%30201.412483%1.412483%1.4%148211.375457%1.375457%1.4%64221.344319%1.344319%1.3%31231.323988%1.323988%1.3%51241.285086%1.285086%1.3%38251.214107%1.214107%1.2%63261.043574%1.043574%1.0%57271.027640%1.027640%1.0%29281.007282%1.007282%1.0%83290.946671%0.946671%0.9%30300.880759%0.880759%0.9%26310.860695%0.860695%0.9%27320.777001%0.777001%0.8%30330.722348%0.722348%0.7%16340.696864%0.696864%0.7%12350.658376%0.658376%0.7%27360.646987%0.646987%0.6%16370.627615%0.627615%0.6%15380.616753%0.616753%0.6%43390.563813%0.563813%0.6%11400.519630%0.519630%0.5%9410.448934%0.448934%0.4%8420.404204%0.404204%0.4%5430.346021%0.346021%0.3%8440.336889%0.336889%0.3%6450.329164%0.329164%0.3%5460.274725%0.274725%0.3%4470.251799%0.251799%0.3%7480.206754%0.206754%0.2%3490.184049%0.184049%0.2%350
Count number of people in category
# rank of county 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#28

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 Towner County, selected other counties in North Dakota, and entities that contain Towner County
Female
Male
1x0x1xFM#GriggsBowmanStutsmanCavalierOliverMcKenzieSargentMcHenryGrantMountrailRamseyBottineauTownerRichlandRansomNelsonMcLeanWalshEddyPembinaDickeyStarkCassBurkeBensonMcIntoshLoganBarnesRoletteNorth DakotaKidderDunnBurleighMortonWest North CentralPierceMidwestUnited StatesLaMoureWardAdamsEmmonsWilliamsDivideFosterWellsTraillGrand ForksMercerSiouxSteeleHettingerRenvilleGolden Valley-1.000000x-1.000000x1.850473x1.850473x1.85x8.720%8.72%16.137%16.1%1-1.000000x-1.000000x1.815210x1.815210x1.82x7.308%7.31%13.266%13.3%2-1.000000x-1.000000x1.781932x1.781932x1.78x7.223%7.22%12.871%12.9%3-1.000000x-1.000000x1.731171x1.731171x1.73x6.576%6.58%11.384%11.4%4-1.000000x-1.000000x1.676435x1.676435x1.68x8.943%8.94%14.993%15.0%5-1.000000x-1.000000x1.613557x1.613557x1.61x5.739%5.74%9.260%9.26%6-1.000000x-1.000000x1.610519x1.610519x1.61x6.269%6.27%10.096%10.1%7-1.000000x-1.000000x1.540061x1.540061x1.54x7.850%7.85%12.089%12.1%8-1.000000x-1.000000x1.517108x1.517108x1.52x8.979%8.98%13.622%13.6%9-1.000000x-1.000000x1.476529x1.476529x1.48x6.454%6.45%9.529%9.53%10-1.000000x-1.000000x1.443032x1.443032x1.44x7.451%7.45%10.752%10.8%11-1.000000x-1.000000x1.431081x1.431081x1.43x7.539%7.54%10.789%10.8%12-1.000000x-1.000000x1.424704x1.424704x1.42x6.413%6.41%9.137%9.14%13-1.000000x-1.000000x1.420049x1.420049x1.42x7.075%7.08%10.047%10.0%14-1.000000x-1.000000x1.400814x1.400814x1.40x8.368%8.37%11.722%11.7%15-1.000000x-1.000000x1.386848x1.386848x1.39x7.009%7.01%9.720%9.72%16-1.000000x-1.000000x1.360563x1.360563x1.36x7.204%7.20%9.801%9.80%17-1.000000x-1.000000x1.357433x1.357433x1.36x11.114%11.1%15.087%15.1%18-1.000000x-1.000000x1.351844x1.351844x1.35x9.313%9.31%12.590%12.6%19-1.000000x-1.000000x1.346386x1.346386x1.35x9.396%9.40%12.651%12.7%20-1.000000x-1.000000x1.313803x1.313803x1.31x10.662%10.7%14.008%14.0%21-1.000000x-1.000000x1.310231x1.310231x1.31x8.039%8.04%10.532%10.5%22-1.000000x-1.000000x1.297202x1.297202x1.30x4.814%4.81%6.244%6.24%23-1.000000x-1.000000x1.289745x1.289745x1.29x9.551%9.55%12.319%12.3%24-1.000000x-1.000000x1.267299x1.267299x1.27x13.197%13.2%16.725%16.7%25-1.000000x-1.000000x1.259171x1.259171x1.26x16.362%16.4%20.603%20.6%26-1.000000x-1.000000x1.257891x1.257891x1.26x13.788%13.8%17.344%17.3%27-1.000000x-1.000000x1.236634x1.236634x1.24x8.165%8.17%10.098%10.1%28-1.000000x-1.000000x1.234809x1.234809x1.23x14.419%14.4%17.805%17.8%29-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.214941x1.214941x1.21x8.102%8.10%9.843%9.84%30-1.000000x-1.000000x1.197479x1.197479x1.20x8.120%8.12%9.723%9.72%31-1.000000x-1.000000x1.171711x1.171711x1.17x6.081%6.08%7.125%7.12%32-1.000000x-1.000000x1.137906x1.137906x1.14x7.420%7.42%8.443%8.44%33-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.128015x1.128015x1.13x10.998%11.0%12.406%12.4%34-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099831x1.099831x1.10x13.058%13.1%14.362%14.4%35-1.000000x-1.000000x1.093922x1.093922x1.09x6.374%6.37%6.972%6.97%36-1.000000x-1.000000x1.053724x1.053724x1.05x3.940%3.94%4.151%4.15%37-1.000000x-1.000000x1.052091x1.052091x1.05x14.785%14.8%15.556%15.6%38-1.000000x-1.000000x1.002158x1.002158x1.00x7.666%7.67%7.683%7.68%39-1.007808x-1.007808x1.01x1.000000x1.000000x11.836%11.8%11.745%11.7%40-1.041165x-1.041165x1.04x1.000000x1.000000x11.481%11.5%11.027%11.0%41-1.045096x-1.045096x1.05x1.000000x1.000000x15.533%15.5%14.863%14.9%42-1.046778x-1.046778x1.05x1.000000x1.000000x7.957%7.96%7.601%7.60%43-1.076348x-1.076348x1.08x1.000000x1.000000x6.572%6.57%6.106%6.11%44-1.076863x-1.076863x1.08x1.000000x1.000000x9.793%9.79%9.094%9.09%45-1.122814x-1.122814x1.12x1.000000x1.000000x15.077%15.1%13.428%13.4%46-1.152819x-1.152819x1.15x1.000000x1.000000x6.380%6.38%5.534%5.53%47-1.184951x-1.184951x1.18x1.000000x1.000000x13.082%13.1%11.040%11.0%48-1.236828x-1.236828x1.24x1.000000x1.000000x8.706%8.71%7.039%7.04%49-1.514754x-1.514754x1.51x1.000000x1.000000x9.180%9.18%6.061%6.06%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#29

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 Towner County, selected other counties in North Dakota, and entities that contain Towner County
Female
Male
10x5x0x5x10xFM#DivideTownerFosterMercerOliverRenvilleBowmanAdamsBensonBurkeMortonEmmonsBarnesMcIntoshLoganHettingerMountrailPembinaLaMoureRansomStutsmanTraillWalshBurleighEddyWilliamsCassNorth DakotaSiouxGrand ForksMidwestWest North CentralRichlandStarkUnited StatesMcLeanDickeyBottineauSargentWardNelsonMcKenziePierceGolden ValleyRamseyGrantKidderDunnCavalierWellsRoletteMcHenryGriggsSteele-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.684%0.68%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.381%0.38%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.083%0.08%1.178%1.18%3-1.000000x-1.000000x9.394595x9.394595x9.39x0.267%0.27%2.512%2.51%4-1.000000x-1.000000x6.146927x6.146927x6.15x0.488%0.49%2.999%3.00%5-1.000000x-1.000000x4.620112x4.620112x4.62x0.242%0.24%1.117%1.12%6-1.000000x-1.000000x4.448307x4.448307x4.45x0.267%0.27%1.189%1.19%7-1.000000x-1.000000x4.214896x4.214896x4.21x1.506%1.51%6.349%6.35%8-1.000000x-1.000000x3.733600x3.733600x3.73x0.322%0.32%1.202%1.20%9-1.000000x-1.000000x3.338164x3.338164x3.34x0.145%0.14%0.483%0.48%10-1.000000x-1.000000x3.124028x3.124028x3.12x0.995%1.00%3.109%3.11%11-1.000000x-1.000000x3.106173x3.106173x3.11x0.318%0.32%0.988%0.99%12-1.000000x-1.000000x2.963707x2.963707x2.96x0.970%0.97%2.874%2.87%13-1.000000x-1.000000x2.923712x2.923712x2.92x0.731%0.73%2.138%2.14%14-1.000000x-1.000000x2.918699x2.918699x2.92x0.139%0.14%0.407%0.41%15-1.000000x-1.000000x2.856334x2.856334x2.86x0.297%0.30%0.849%0.85%16-1.000000x-1.000000x2.815951x2.815951x2.82x0.725%0.73%2.042%2.04%17-1.000000x-1.000000x2.801464x2.801464x2.80x0.632%0.63%1.770%1.77%18-1.000000x-1.000000x2.638133x2.638133x2.64x0.481%0.48%1.269%1.27%19-1.000000x-1.000000x2.637374x2.637374x2.64x0.728%0.73%1.919%1.92%20-1.000000x-1.000000x2.523208x2.523208x2.52x0.812%0.81%2.049%2.05%21-1.000000x-1.000000x2.412266x2.412266x2.41x0.615%0.61%1.483%1.48%22-1.000000x-1.000000x1.971067x1.971067x1.97x0.970%0.97%1.912%1.91%23-1.000000x-1.000000x1.862832x1.862832x1.86x2.356%2.36%4.390%4.39%24-1.000000x-1.000000x1.853957x1.853957x1.85x1.164%1.16%2.158%2.16%25-1.000000x-1.000000x1.848039x1.848039x1.85x1.365%1.37%2.523%2.52%26-1.000000x-1.000000x1.754240x1.754240x1.75x2.756%2.76%4.834%4.83%27-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%-1.000000x-1.000000x1.642079x1.642079x1.64x1.022%1.02%1.678%1.68%28-1.000000x-1.000000x1.615774x1.615774x1.62x2.877%2.88%4.649%4.65%29-1.000000x-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-1.000000x1.556767x1.556767x1.56x1.102%1.10%1.715%1.72%30-1.000000x-1.000000x1.529409x1.529409x1.53x1.855%1.86%2.837%2.84%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.456603x1.456603x1.46x0.500%0.50%0.728%0.73%32-1.000000x-1.000000x1.328958x1.328958x1.33x2.581%2.58%3.431%3.43%33-1.000000x-1.000000x1.265428x1.265428x1.27x1.213%1.21%1.535%1.54%34-1.000000x-1.000000x1.212454x1.212454x1.21x0.227%0.23%0.275%0.27%35-1.000000x-1.000000x1.075167x1.075167x1.08x1.602%1.60%1.722%1.72%36-1.000000x-1.000000x1.024518x1.024518x1.02x0.342%0.34%0.350%0.35%37-1.000000x-1.000000x1.005484x1.005484x1.01x1.568%1.57%1.577%1.58%38-1.521933x-1.521933x1.52x1.000000x1.000000x1.144%1.14%0.752%0.75%39-1.541803x-1.541803x1.54x1.000000x1.000000x0.492%0.49%0.319%0.32%40-1.565857x-1.565857x1.57x1.000000x1.000000x2.885%2.89%1.843%1.84%41-1.661055x-1.661055x1.66x1.000000x1.000000x1.796%1.80%1.081%1.08%42-1.924627x-1.924627x1.92x1.000000x1.000000x0.605%0.60%0.314%0.31%43-2.127164x-2.127164x2.13x1.000000x1.000000x1.781%1.78%0.837%0.84%44-2.260345x-2.260345x2.26x1.000000x1.000000x1.430%1.43%0.632%0.63%45-2.272770x-2.272770x2.27x1.000000x1.000000x1.185%1.19%0.522%0.52%46-4.546797x-4.546797x4.55x1.000000x1.000000x1.610%1.61%0.354%0.35%47-4.622200x-4.622200x4.62x1.000000x1.000000x1.100%1.10%0.238%0.24%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.019%1.02%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.445%0.45%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Towner County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Towner County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Towner County, selected other counties in the United States, and entities that contain Towner County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinWest North CentralNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxNorth DakotaTowner CountyTownerWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.174633%9.174633%9.2%1,278,0511.28M9.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.963451%7.963451%8.0%38,03438.0k7.730061%7.730061%7.7%1267.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county 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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Towner County, selected other counties in the United States, and entities that contain Towner County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisWest North CentralMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestNorth DakotaMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronxTowner CountyTowner60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3830.056536%30.056536%30.1%4,186,9564.19M29.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.172535%28.172535%28.2%134,554135k27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k5018.588957%18.588957%18.6%303
Count number of people in category
# rank of county 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#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Towner County, selected other counties in the United States, and entities that contain Towner County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensNorth DakotaFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronxTowner CountyTowner12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.435475%2.435475%2.4%11,63211.6k2.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k500.184049%0.184049%0.2%3
Count number of people in category
# rank of county 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#33

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 Towner County, selected other counties in the United States, and entities that contain Towner County
Female
Male
1x0x1xFM#TownerMecklenburgPalm BeachNorth DakotaWakeWestchesterFairfieldContra CostaWest North CentralHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.424704x1.424704x1.42x6.413%6.41%9.137%9.14%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#34

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 Towner County, selected other counties in the United States, and entities that contain Towner County
Female
Male
0x5x10xFM#TownerPalm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeNorth DakotaBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.381%0.38%-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Bisbee, Cando, Egeland, Hansboro, Perth, Rocklake, Sarles
Townships:
Armourdale, Atkins, Bethel, Cando, Coolin, Crocus, Dash, Gerrard, Grainfield, Howell, Lansing, Maza, Monroe, Mount View, New City, Olson, Paulson, Picton, Rock Lake, Sidney, Smith, Sorenson, Springfield, Teddy, Twin Hill, Victor, Virginia, Zion
ZIP Codes:
58317, 58324, 58331, 58339, 58346, 58352, 58363, 58365, 58367, 58372, 58377
Unified School Districts:
Leeds 6, Mount Pleasant 4, Munich 19, North Star, Starkweather 44
Congressional District:
ND-At Large
State Senate District:
ND-15
State House District:
ND-15
Neighboring Counties:
Benson, Cavalier, Pierce, Ramsey, Rolette