Educational Attainment in Richland County, North Dakota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of North Dakota and Richland County
Richland County
North Dakota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma239.826303%41.550480%39.826303%39.8%4,17351.593816%50.486069%51.593816%51.6%5,4068.579882%7.963451%8.579882%8.6%899
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 Richland County
-5%0%+5%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-4.149596%-4.149596%-4.1%39.826%39.8%41.550%41.6%2.194163%2.194163%+2.2%51.594%51.6%50.486%50.5%7.740746%7.740746%+7.7%8.580%8.58%7.963%7.96%
% percentage with given level in Richland 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 Richland County
Richland County
North Dakota
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.391296%1.101324%0.391296%0.4%411.021187%1.334151%1.021187%1.0%1073.588471%5.241129%3.588471%3.6%37616.863905%20.495931%16.863905%16.9%1,76717.961443%13.377945%17.961443%18.0%1,88222.513839%23.039654%22.513839%22.5%2,35929.079977%27.446415%29.079977%29.1%3,0474.819622%4.436283%4.819622%4.8%5053.493033%2.970434%3.493033%3.5%3660.267227%0.556734%0.267227%0.3%28
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 Richland County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-64.470393%-64.470393%-64.5%0.391%0.39%1.101%1.10%-23.457913%-23.457913%-23.5%1.021%1.02%1.334%1.33%-31.532482%-31.532482%-31.5%3.588%3.59%5.241%5.24%-17.720715%-17.720715%-17.7%16.864%16.9%20.496%20.5%34.261604%34.261604%+34.3%17.961%18.0%13.378%13.4%-2.282219%-2.282219%-2.3%22.514%22.5%23.040%23.0%5.951823%5.951823%+6.0%29.080%29.1%27.446%27.4%8.640987%8.640987%+8.6%4.820%4.82%4.436%4.44%17.593362%17.593362%+17.6%3.493%3.49%2.970%2.97%-52.001023%-52.001023%-52.0%0.267%0.27%0.557%0.56%
% percentage with given level in Richland 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 Richland County
More Females More Males
North Dakota
Richland County
20%0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-23.159412%-13.706378%-23.159412%23%44.017%44.0%35.740%35.7%10.847385%7.780804%10.847385%11%48.908%48.9%54.213%54.2%42.004862%21.685289%42.004862%42%7.075%7.08%10.047%10.0%
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 North Dakota and Richland County
More Females More Males
North Dakota
Richland County
100%50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.387370%46.723684%2.387370%2%0.387%0.39%0.396%0.40%84.481748%87.408914%84.481748%84%0.715%0.72%1.320%1.32%-29.734092%-36.951163%-29.734092%30%4.060%4.06%3.129%3.13%-65.508752%-25.356255%-65.508752%66%21.090%21.1%12.743%12.7%-2.271141%2.180463%2.180463%2%17.765%17.8%18.153%18.2%0.108745%1.885831%0.108745%0%22.501%22.5%22.526%22.5%19.998027%13.005795%19.998027%20%26.406%26.4%31.687%31.7%21.347995%32.312897%21.347995%21%4.350%4.35%5.278%5.28%95.023563%9.639390%95.023563%95%2.358%2.36%4.599%4.60%-116.498056%-116.498056%116%9.639542%0.367%0.37%0.170%0.17%
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 Richland County
Richland County
North Dakota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3412.105878%13.407800%12.105878%12.1%3112,56915.237467%19.145314%15.237467%15.2%6934,54823.388582%24.643083%23.388582%23.4%3811,62922.055427%26.502973%22.055427%22.1%3821,732
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 Richland County
20%15%10%5%0%%ref.65+45-6435-4425-34-9.710185%-9.710185%9.7%12.106%12.1%13.408%13.4%-20.411507%-20.411507%20.4%15.237%15.2%19.145%19.1%-5.090681%-5.090681%5.1%23.389%23.4%24.643%24.6%-16.781309%-16.781309%16.8%22.055%22.1%26.503%26.5%
% percentage in Richland 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 Richland County
More Females More Males
North Dakota
Richland County
80%60%40%20%0%FM65+45-6435-4425-34-50.000000%-50.000000%50.0%6.176588%14.286%14.3%9.524%9.52%-68.787007%-27.234590%-68.787007%68.8%19.397%19.4%11.492%11.5%-91.017997%-30.723741%-91.017997%91.0%31.043%31.0%16.251%16.3%-61.054827%-52.646379%-61.054827%61.1%27.414%27.4%17.021%17.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of North Dakota and Richland County
Richland County
North Dakota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$51,321.000000$61,646.000000$51,321.000000$51.3k5245.001%5.00%$48,980.000000$45,053.000000$48,980.000000$49.0k1,76716.864%16.9%$36,431.000000$37,296.000000$36,431.000000$36.4k4,24140.475%40.5%$32,339.000000$32,314.000000$32,339.000000$32.3k3,04729.080%29.1%$28,208.000000$26,742.000000$28,208.000000$28.2k8998.580%8.58%$36,868.000000$39,688.000000$36,868.000000$36.9k10,47810.5k100.000%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 Richland County
Female Male
North Dakota
Richland County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-51,176.000000$-52,867.000000$-51,176.000000$51.2k$51,176.000000$282.000000$52,867.000000$20,474.000000$51,458.000000$51.5k267257$-40,685.000000$-39,382.000000$-40,685.000000$40.7k$40,685.000000$22,232.000000$39,382.000000$16,127.000000$62,917.000000$62.9k1,091676$-25,321.000000$-28,675.000000$-25,321.000000$25.3k$25,321.000000$21,809.000000$28,675.000000$20,544.000000$47,130.000000$47.1k2,0832,158$-25,075.000000$-23,743.000000$-25,075.000000$25.1k$25,075.000000$13,864.000000$23,743.000000$17,218.000000$38,939.000000$38.9k1,3661,681$-22,045.000000$-15,830.000000$-22,045.000000$22.0k$22,045.000000$9,147.000000$15,830.000000$18,028.000000$31,192.000000$31.2k366533$-28,160.000000$-30,996.000000$-28,160.000000$28.2k$28,160.000000$18,131.000000$30,996.000000$17,336.000000$46,291.000000$46.3k5,1735,305
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of North Dakota and Richland County
Richland County
North Dakota
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%31.807145%0100.000000%55.463059%100.000000%100.0%190.000000%0.000000%0.0%12.729795%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

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 Richland County
Richland County
North Dakota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.657822%88.930958%90.657822%90.7%1,64087.971014%83.465273%87.971014%88.0%3,03584.600939%77.098863%84.600939%84.6%1,80270.000000%61.347166%70.000000%70.0%364
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of North Dakota and Richland County
Female Male
North Dakota
Richland County
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1AsianHispanic2Other1-4.845001%-6.125000%-4.845001%4.8%4.845001%3.494983%6.125000%1.682665%8.339984%8.3%418236-0.000000%-13.431151%-7.944934%0.000000%0.0%0.000000%0.000000%13.431151%0.000000%0.0%00-63.855422%-3.190033%-17.484451%-67.045455%67.0%63.855422%17.484451%5.479009%63.855422%63.9%5359-32.682927%-9.511166%-16.387584%-42.194093%42.2%32.682927%16.387584%1.655461%32.682927%32.7%67100
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of North Dakota and Richland County
Female Male
North Dakota
Richland County
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1AsianHispanic2Other1-17.956903%-8.033653%-26.643974%-4.795177%-25.990556%26.0%17.956903%26.643974%17.956903%18.0%9001,266-100.000000%-45.156981%-100.000000%100.0%100.000000%0.000000%45.156981%1.569882%100.000000%100.0%99-0.000000%-21.590909%-14.381495%-6.074621%-21.590909%21.6%0.000000%14.381495%0.000000%0.0%019-11.707317%-15.296902%-12.500860%-8.314549%-27.004219%27.0%11.707317%12.500860%11.707317%11.7%2464
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Richland County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
10%23%36%49%62%76%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
24%36%47%58%69%80%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%13%20%27%34%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.7%2.5%3.3%4.2%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.2%4.2%5.3%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%15%22%30%38%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
0%9%17%26%35%44%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
0%9%18%27%36%46%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
0%11%22%33%43%55%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
9%20%31%42%53%64%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%13%20%27%34%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.5%7.0%10.5%14.0%17.5%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.7%3.5%5.2%7.0%8.7%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Richland County

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
29.4%34.0%38.6%43.1%47.6%52.2%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
42.7%46.1%49.4%52.8%56.1%59.5%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
4.4%5.9%7.4%8.9%10.4%11.9%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.215%0.261%0.307%0.354%0.400%0.447%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.32%0.69%1.05%1.41%1.78%2.15%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
1.8%2.9%3.9%4.9%5.9%7.0%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
8.7%12.3%15.9%19.5%23.1%26.7%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
14.6%16.8%18.9%21.0%23.1%25.3%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
17.7%19.1%20.5%21.9%23.3%24.8%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
24.1%26.4%28.6%30.9%33.1%35.4%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
2.6%4.0%5.3%6.7%8.0%9.4%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
1.2%2.4%3.5%4.7%5.8%7.0%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.11%0.22%0.33%0.44%0.55%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Richland County

There are 14 places in Richland County. This section compares all 14 of those to each other, Richland County, and other entities that contain or substantially overlap with Richland County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Richland County, selected places in Richland County, and entities that contain Richland County
0%5%10%15%Count#LidgerwoodDwightHankinsonUnited States of AmericaUnited StatesFairmountMidwestWest North CentralWahpetonRichland CountyRichlandWahpeton Metro AreaWahpeton AreaGreat BendNorth DakotaWyndmereWalcottMooretonChristineAbercrombieMantadorBarneyColfax17.995910%17.995910%18.0%88114.893617%14.893617%14.9%7213.362069%13.362069%13.4%93313.020590%13.020590%13.0%27,818,38027.8M10.729614%10.729614%10.7%25410.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M9.167205%9.167205%9.2%42658.579882%8.579882%8.6%8998.299140%8.299140%8.3%1,2548.064516%8.064516%8.1%567.963451%7.963451%8.0%38,03438.0k7.902736%7.902736%7.9%2677.142857%7.142857%7.1%1284.895105%4.895105%4.9%794.587156%4.587156%4.6%5104.142012%4.142012%4.1%7113.030303%3.030303%3.0%1123.030303%3.030303%3.0%1132.040816%2.040816%2.0%214
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Richland County, selected places in Richland County, and entities that contain Richland County
0%10%20%30%40%Count#ColfaxUnited States of AmericaUnited StatesWest North CentralMidwestWalcottNorth DakotaBarneyWyndmereRichland CountyRichlandWahpetonWahpeton Metro AreaWahpeton AreaChristineGreat BendMooretonHankinsonAbercrombieFairmountLidgerwoodDwightMantador42.857143%42.857143%42.9%42130.315023%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%48228.172535%28.172535%28.2%134,554135k27.272727%27.272727%27.3%9323.404255%23.404255%23.4%77421.864860%21.864860%21.9%2,29121.863568%21.863568%21.9%1,016521.700860%21.700860%21.7%3,27921.100917%21.100917%21.1%23617.741935%17.741935%17.7%11717.482517%17.482517%17.5%25815.229885%15.229885%15.2%106914.792899%14.792899%14.8%251014.592275%14.592275%14.6%341114.519427%14.519427%14.5%71122.127660%2.127660%2.1%1130.000000%0.000000%0.0%014
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Richland County, selected places in Richland County, and entities that contain Richland County
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestNorth DakotaColfaxWahpetonRichland CountyRichlandWahpeton Metro AreaWahpeton AreaHankinsonLidgerwoodWyndmereFairmountAbercrombieWalcottMooretonChristineGreat BendDwightMantadorBarney3.336158%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%11,63211.6k2.040816%2.040816%2.0%211.936733%1.936733%1.9%9021.412483%1.412483%1.4%1481.277300%1.277300%1.3%1930.862069%0.862069%0.9%630.408998%0.408998%0.4%240.303951%0.303951%0.3%150.000000%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%014
Count number of people in category
# rank of place out of 14 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#45

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 Richland County, selected places in Richland County, and entities that contain Richland County
Female
Male
10x5x0x5x10xFM#ColfaxGreat BendWalcottDwightAbercrombieWahpetonRichlandHankinsonNorth DakotaWahpeton AreaWest North CentralMidwestUnited StatesLidgerwoodWyndmereMooretonFairmountChristineMantadorBarney-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.704%3.70%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.158%13.2%2-1.000000x-1.000000x2.538462x2.538462x2.54x3.896%3.90%9.890%9.89%3-1.000000x-1.000000x2.200000x2.200000x2.20x9.091%9.09%20.000%20.0%4-1.000000x-1.000000x1.811224x1.811224x1.81x2.817%2.82%5.102%5.10%5-1.000000x-1.000000x1.662931x1.662931x1.66x6.902%6.90%11.478%11.5%6-1.000000x-1.000000x1.420049x1.420049x1.42x7.075%7.08%10.047%10.0%-1.000000x-1.000000x1.419340x1.419340x1.42x11.282%11.3%16.013%16.0%7-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.178954x1.178954x1.18x7.618%7.62%8.981%8.98%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.019763x1.019763x1.02x17.829%17.8%18.182%18.2%8-1.217391x-1.217391x1.22x1.000000x1.000000x8.696%8.70%7.143%7.14%9-1.314815x-1.314815x1.31x1.000000x1.000000x5.556%5.56%4.225%4.23%10-1.512931x-1.512931x1.51x1.000000x1.000000x12.931%12.9%8.547%8.55%11-6.139535x-6.139535x6.14x1.000000x1.000000x9.302%9.30%1.515%1.52%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.556%5.56%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.882%5.88%0.000%0%14
F percentage of females in category
M percentage of males in category
# rank of place out of 14 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

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 Richland County, selected places in Richland County, and entities that contain Richland County
Female
Male
10x5x0x5x10xFM#LidgerwoodWyndmereWahpetonHankinsonWahpeton AreaNorth DakotaMidwestWest North CentralRichlandUnited StatesColfax-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.866%0.87%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.595%0.60%2-1.000000x-1.000000x4.381867x4.381867x4.38x0.724%0.72%3.174%3.17%3-1.000000x-1.000000x2.549020x2.549020x2.55x0.513%0.51%1.307%1.31%4-1.000000x-1.000000x1.683227x1.683227x1.68x0.952%0.95%1.603%1.60%-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-1.000000x1.556767x1.556767x1.56x1.102%1.10%1.715%1.72%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.545%4.55%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

Educational Attainment by County Subdivision in Richland County

There are 50 county subdivisions in Richland County. This section compares all 50 of those to each other, Richland County, and other entities that contain or substantially overlap with Richland County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Richland County, selected county subdivisions in Richland County, and entities that contain Richland County
0%10%20%30%Count#Greendale TownshipGreendaleLiberty Grove TownshipLiberty GrvSheyenne TownshipSheyenneLidgerwoodDwightHankinsonUnited States of AmericaUnited StatesFairmountMidwestCenter TownshipCtrWest North CentralWahpetonFreeman TownshipFreemanRichland CountyRichlandWahpeton Metro AreaWahpeton AreaBrightwood TownshipBrightwoodGreat BendNorth DakotaWyndmereWalcottWaldo TownshipWaldoElma TownshipEagle TownshipEagleWyndmere TownshipWyndmereDanton TownshipDantonFairmount TownshipFairmountLaMars TownshipLaMarsWalcott TownshipWalcottMooretonHelendale TownshipHelendaleChristineBelford TownshipBelfordGrant TownshipGrantAbercrombieDuerr TownshipDuerrBrandenburg TownshipBrandenburgAbercrombie TownshipAbercrombieMantadorBarneyColfaxDwight TownshipDwightHomestead TownshipHomesteadColfax TownshipColfaxGarborg TownshipGarborgSummit TownshipSummitBarney TownshipBarneyAntelope TownshipAntelopeBarrie TownshipBarrieMooreton TownshipMooretonDevillo TownshipDevilloNansen TownshipNansenDexter TownshipDexterMoran TownshipMoranViking TownshipVikingWest End TownshipW EndIbsen TownshipIbsen33.333333%33.333333%33.3%46130.158730%30.158730%30.2%19227.586207%27.586207%27.6%8317.995910%17.995910%18.0%88414.893617%14.893617%14.9%7513.362069%13.362069%13.4%93613.020590%13.020590%13.0%27,818,38027.8M10.729614%10.729614%10.7%25710.244520%10.244520%10.2%4,641,8354.64M10.230179%10.230179%10.2%4089.174633%9.174633%9.2%1,278,0511.28M9.167205%9.167205%9.2%42698.695652%8.695652%8.7%2108.579882%8.579882%8.6%8998.299140%8.299140%8.3%1,2548.256881%8.256881%8.3%9118.064516%8.064516%8.1%5127.963451%7.963451%8.0%38,03438.0k7.902736%7.902736%7.9%26137.142857%7.142857%7.1%12146.896552%6.896552%6.9%2156.818182%6.818182%6.8%3166.766917%6.766917%6.8%9176.000000%6.000000%6.0%3185.769231%5.769231%5.8%6195.263158%5.263158%5.3%3205.172414%5.172414%5.2%3214.945055%4.945055%4.9%9224.895105%4.895105%4.9%7234.854369%4.854369%4.9%5244.587156%4.587156%4.6%5254.545455%4.545455%4.5%4264.166667%4.166667%4.2%4274.142012%4.142012%4.1%7284.109589%4.109589%4.1%3293.703704%3.703704%3.7%4303.684211%3.684211%3.7%7313.030303%3.030303%3.0%1323.030303%3.030303%3.0%1332.040816%2.040816%2.0%2341.818182%1.818182%1.8%4351.470588%1.470588%1.5%1360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Richland County, selected county subdivisions in Richland County, and entities that contain Richland County
0%10%20%30%40%50%Count#Walcott TownshipWalcottGarborg TownshipGarborgColfaxEagle TownshipEagleDanton TownshipDantonMoran TownshipMoranHelendale TownshipHelendaleAbercrombie TownshipAbercrombieHomestead TownshipHomesteadAntelope TownshipAntelopeDuerr TownshipDuerrDwight TownshipDwightUnited States of AmericaUnited StatesWest North CentralColfax TownshipColfaxMidwestWalcottNorth DakotaBarneyDexter TownshipDexterWyndmereBrandenburg TownshipBrandenburgBarrie TownshipBarrieWest End TownshipW EndRichland CountyRichlandWahpetonWahpeton Metro AreaWahpeton AreaChristineNansen TownshipNansenIbsen TownshipIbsenViking TownshipVikingBrightwood TownshipBrightwoodBarney TownshipBarneyGrant TownshipGrantCenter TownshipCtrWyndmere TownshipWyndmereGreat BendMooretonBelford TownshipBelfordHankinsonDevillo TownshipDevilloAbercrombieFairmountLidgerwoodElma TownshipLaMars TownshipLaMarsMooreton TownshipMooretonWaldo TownshipWaldoSummit TownshipSummitFairmount TownshipFairmountFreeman TownshipFreemanGreendale TownshipGreendaleDwightLiberty Grove TownshipLiberty GrvMantadorSheyenne TownshipSheyenne50.549451%50.549451%50.5%92143.076923%43.076923%43.1%28242.857143%42.857143%42.9%42339.097744%39.097744%39.1%52437.500000%37.500000%37.5%39537.500000%37.500000%37.5%6636.893204%36.893204%36.9%38736.842105%36.842105%36.8%70835.294118%35.294118%35.3%24934.722222%34.722222%34.7%251034.246575%34.246575%34.2%251131.818182%31.818182%31.8%701230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.687500%29.687500%29.7%571328.952816%28.952816%29.0%13,118,64213.1M28.571429%28.571429%28.6%481428.172535%28.172535%28.2%134,554135k27.272727%27.272727%27.3%91525.581395%25.581395%25.6%111623.404255%23.404255%23.4%771723.148148%23.148148%23.1%251823.076923%23.076923%23.1%181922.727273%22.727273%22.7%52021.864860%21.864860%21.9%2,29121.863568%21.863568%21.9%1,0162121.700860%21.700860%21.7%3,27921.100917%21.100917%21.1%232220.754717%20.754717%20.8%112320.000000%20.000000%20.0%42420.000000%20.000000%20.0%72519.266055%19.266055%19.3%212618.965517%18.965517%19.0%112718.750000%18.750000%18.8%182818.158568%18.158568%18.2%712918.000000%18.000000%18.0%93017.741935%17.741935%17.7%113117.482517%17.482517%17.5%253217.045455%17.045455%17.0%153315.229885%15.229885%15.2%1063415.000000%15.000000%15.0%93514.792899%14.792899%14.8%253614.592275%14.592275%14.6%343714.519427%14.519427%14.5%713813.636364%13.636364%13.6%63912.068966%12.068966%12.1%74011.764706%11.764706%11.8%64110.344828%10.344828%10.3%3429.900990%9.900990%9.9%10437.017544%7.017544%7.0%4444.347826%4.347826%4.3%1453.623188%3.623188%3.6%5462.127660%2.127660%2.1%1470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Richland County, selected county subdivisions in Richland County, and entities that contain Richland County
0%2%4%6%8%Count#Grant TownshipGrantFairmount TownshipFairmountWalcott TownshipWalcottGarborg TownshipGarborgFreeman TownshipFreemanAntelope TownshipAntelopeBrandenburg TownshipBrandenburgUnited States of AmericaUnited StatesEagle TownshipEagleWest North CentralMidwestNorth DakotaColfaxWahpetonColfax TownshipColfaxGreendale TownshipGreendaleRichland CountyRichlandDwight TownshipDwightWahpeton Metro AreaWahpeton AreaCenter TownshipCtrHankinsonLidgerwoodWyndmereFairmountAbercrombie TownshipAbercrombieAbercrombieWalcottMooretonDanton TownshipDantonHelendale TownshipHelendaleSummit TownshipSummitChristineBrightwood TownshipBrightwoodLaMars TownshipLaMarsLiberty Grove TownshipLiberty GrvBelford TownshipBelfordBarney TownshipBarneyHomestead TownshipHomesteadBarrie TownshipBarrieDuerr TownshipDuerrMooreton TownshipMooretonGreat BendWyndmere TownshipWyndmereDwightMantadorDevillo TownshipDevilloNansen TownshipNansenWaldo TownshipWaldoElma TownshipDexter TownshipDexterBarneyMoran TownshipMoranViking TownshipVikingSheyenne TownshipSheyenneWest End TownshipW EndIbsen TownshipIbsen8.333333%8.333333%8.3%815.263158%5.263158%5.3%324.945055%4.945055%4.9%934.615385%4.615385%4.6%344.347826%4.347826%4.3%154.166667%4.166667%4.2%363.703704%3.703704%3.7%473.336158%3.336158%3.3%7,127,6737.13M3.007519%3.007519%3.0%482.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.435475%2.435475%2.4%11,63211.6k2.040816%2.040816%2.0%291.936733%1.936733%1.9%90101.562500%1.562500%1.6%3111.449275%1.449275%1.4%2121.412483%1.412483%1.4%1481.363636%1.363636%1.4%3131.277300%1.277300%1.3%1931.023018%1.023018%1.0%4140.862069%0.862069%0.9%6150.408998%0.408998%0.4%2160.303951%0.303951%0.3%1170.000000%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%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

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 Richland County, selected county subdivisions in Richland County, and entities that contain Richland County
Female
Male
10x5x0x5x10xFM#DwightWalcottBrandenburgEagleDantonHelendaleColfaxGrantLaMarsLiberty GrvHomesteadGreat BendWaldoElma TownshipSheyenneWalcottBrightwoodDwightAbercrombieFairmountWahpetonRichlandHankinsonNorth DakotaWahpeton AreaWest North CentralMidwestUnited StatesLidgerwoodAbercrombieCtrWyndmereMooretonFairmountGreendaleChristineBelfordDuerrWyndmereMantadorBarneyFreeman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.810%3.81%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.091%9.09%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.349%6.35%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.329%12.3%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.111%11.1%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.000%10.0%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.704%3.70%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.843%7.84%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.345%10.3%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%47.500%47.5%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.703%2.70%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.158%13.2%12-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%14.286%14.3%13-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.714%10.7%14-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%57.143%57.1%15-1.000000x-1.000000x2.538462x2.538462x2.54x3.896%3.90%9.890%9.89%16-1.000000x-1.000000x2.280303x2.280303x2.28x4.651%4.65%10.606%10.6%17-1.000000x-1.000000x2.200000x2.200000x2.20x9.091%9.09%20.000%20.0%18-1.000000x-1.000000x1.811224x1.811224x1.81x2.817%2.82%5.102%5.10%19-1.000000x-1.000000x1.677419x1.677419x1.68x3.846%3.85%6.452%6.45%20-1.000000x-1.000000x1.662931x1.662931x1.66x6.902%6.90%11.478%11.5%21-1.000000x-1.000000x1.420049x1.420049x1.42x7.075%7.08%10.047%10.0%-1.000000x-1.000000x1.419340x1.419340x1.42x11.282%11.3%16.013%16.0%22-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.178954x1.178954x1.18x7.618%7.62%8.981%8.98%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.019763x1.019763x1.02x17.829%17.8%18.182%18.2%23-1.009259x-1.009259x1.01x1.000000x1.000000x3.704%3.70%3.670%3.67%24-1.157344x-1.157344x1.16x1.000000x1.000000x10.995%11.0%9.500%9.50%25-1.217391x-1.217391x1.22x1.000000x1.000000x8.696%8.70%7.143%7.14%26-1.314815x-1.314815x1.31x1.000000x1.000000x5.556%5.56%4.225%4.23%27-1.512931x-1.512931x1.51x1.000000x1.000000x12.931%12.9%8.547%8.55%28-1.518936x-1.518936x1.52x1.000000x1.000000x39.726%39.7%26.154%26.2%29-6.139535x-6.139535x6.14x1.000000x1.000000x9.302%9.30%1.515%1.52%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.163%8.16%0.000%0%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.571%8.57%0.000%0%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x12.000%12.0%0.000%0%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.556%5.56%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.882%5.88%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x16.667%16.7%0.000%0%36
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 36 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

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 Richland County, selected county subdivisions in Richland County, and entities that contain Richland County
Female
Male
10x5x0x5x10xFM#LidgerwoodCtrWyndmereWahpetonHankinsonWahpeton AreaNorth DakotaMidwestWest North CentralRichlandUnited StatesGrantWalcottDwightColfaxGreendaleBrandenburgGarborgEagleColfaxAntelopeFairmountFreeman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.866%0.87%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.000%2.00%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.595%0.60%3-1.000000x-1.000000x4.381867x4.381867x4.38x0.724%0.72%3.174%3.17%4-1.000000x-1.000000x2.549020x2.549020x2.55x0.513%0.51%1.307%1.31%5-1.000000x-1.000000x1.683227x1.683227x1.68x0.952%0.95%1.603%1.60%-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-1.000000x1.556767x1.556767x1.56x1.102%1.10%1.715%1.72%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.133333x-1.133333x1.13x1.000000x1.000000x8.889%8.89%7.843%7.84%6-2.385542x-2.385542x2.39x1.000000x1.000000x7.229%7.23%3.030%3.03%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.609%2.61%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.488%3.49%0.000%0%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.740%2.74%0.000%0%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.889%8.89%0.000%0%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.714%10.7%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.667%6.67%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.545%4.55%0.000%0%14-10.000000x-10.000000x> 10.0x1.000000x1.000000x9.091%9.09%0.000%0%15-10.000000x-10.000000x> 10.0x1.000000x1.000000x11.538%11.5%0.000%0%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.333%8.33%0.000%0%17
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 17 by male-to-female sex ratio

Educational Attainment by County in the Wahpeton Area

There are 2 counties in the Wahpeton Area. This section compares Richland County to all of the counties in the Wahpeton Area and to those entities that contain or substantially overlap with Richland County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Richland County, selected other counties in the Wahpeton Area, and entities that contain Richland County
0%5%10%Count#United States of AmericaUnited StatesMidwestWest North CentralRichland CountyRichlandWahpeton Metro AreaWahpeton AreaNorth DakotaWilkin CountyWilkin13.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.579882%8.579882%8.6%89918.299140%8.299140%8.3%1,2547.963451%7.963451%8.0%38,03438.0k7.664076%7.664076%7.7%3552
Count number of people in category
# rank of county out of 2 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Richland County, selected other counties in the Wahpeton Area, and entities that contain Richland County
0%10%20%30%Count#United States of AmericaUnited StatesWest North CentralMidwestNorth DakotaRichland CountyRichlandWahpeton Metro AreaWahpeton AreaWilkin CountyWilkin30.315023%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%134,554135k21.864860%21.864860%21.9%2,291121.700860%21.700860%21.7%3,27921.329879%21.329879%21.3%9882
Count number of people in category
# rank of county out of 2 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Richland County, selected other counties in the Wahpeton Area, and entities that contain Richland County
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestNorth DakotaRichland CountyRichlandWahpeton Metro AreaWahpeton AreaWilkin CountyWilkin3.336158%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%11,63211.6k1.412483%1.412483%1.4%14811.277300%1.277300%1.3%1930.971503%0.971503%1.0%452
Count number of people in category
# rank of county out of 2 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#55

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 Richland County, selected other counties in the Wahpeton Area, and entities that contain Richland County
Female
Male
1x0x1xFM#RichlandNorth DakotaWahpeton AreaWest North CentralMidwestUnited StatesWilkin-1.000000x-1.000000x1.420049x1.420049x1.42x7.075%7.08%10.047%10.0%1-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%-1.000000x-1.000000x1.178954x1.178954x1.18x7.618%7.62%8.981%8.98%-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%-1.360943x-1.360943x1.36x1.000000x1.000000x8.794%8.79%6.462%6.46%2
F percentage of females in category
M percentage of males in category
# rank of county out of 2 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

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 Richland County, selected other counties in the Wahpeton Area, and entities that contain Richland County
Female
Male
1x0x1x2xFM#WilkinWahpeton AreaNorth DakotaMidwestWest North CentralRichlandUnited States-1.000000x-1.000000x2.128342x2.128342x2.13x0.628%0.63%1.337%1.34%1-1.000000x-1.000000x1.683227x1.683227x1.68x0.952%0.95%1.603%1.60%-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-1.000000x1.556767x1.556767x1.56x1.102%1.10%1.715%1.72%2-1.000000x-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 out of 2 by male-to-female sex ratio

Educational Attainment by County in North Dakota

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

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Richland County, selected other counties in North Dakota, and entities that contain Richland 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 CountyNelsonWahpeton Metro AreaWahpeton AreaSargent 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%193358.299140%8.299140%8.3%1,2548.273381%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Richland County, selected other counties in North Dakota, and entities that contain Richland 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 CountyRichlandWahpeton Metro AreaWahpeton AreaFoster 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%2,2912321.700860%21.700860%21.7%3,27921.631799%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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Richland County, selected other counties in North Dakota, and entities that contain Richland 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 CountyDunnWahpeton Metro AreaWahpeton AreaPembina 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%38251.277300%1.277300%1.3%1931.214107%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#60

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 Richland County, selected other counties in North Dakota, and entities that contain Richland County
Female
Male
1x0x1xFM#GriggsBowmanStutsmanCavalierOliverMcKenzieSargentMcHenryGrantMountrailRamseyBottineauTownerRichlandRansomNelsonMcLeanWalshEddyPembinaDickeyStarkCassBurkeBensonMcIntoshLoganBarnesRoletteNorth DakotaKidderDunnWahpeton AreaBurleighMortonWest 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-1.000000x1.178954x1.178954x1.18x7.618%7.62%8.981%8.98%-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#61

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 Richland County, selected other counties in North Dakota, and entities that contain Richland County
Female
Male
10x5x0x5x10xFM#DivideTownerFosterMercerOliverRenvilleBowmanAdamsBensonBurkeMortonEmmonsBarnesMcIntoshLoganHettingerMountrailPembinaLaMoureRansomStutsmanTraillWalshBurleighEddyWilliamsCassWahpeton AreaNorth 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-1.000000x1.683227x1.683227x1.68x0.952%0.95%1.603%1.60%-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 Richland County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Richland County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Richland County, selected other counties in the United States, and entities that contain Richland 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 CountyFultonRichland CountyRichlandWahpeton Metro AreaWahpeton AreaFairfax CountyFairfaxNorth DakotaWake 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%57,57157.6k428.579882%8.579882%8.6%8998.299140%8.299140%8.3%1,2548.282040%8.282040%8.3%63,67163.7k437.963451%7.963451%8.0%38,03438.0k7.696387%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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Richland County, selected other counties in the United States, and entities that contain Richland 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 CountyWayneRichland CountyRichlandWahpeton Metro AreaWahpeton AreaRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%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%260,985261k4621.864860%21.864860%21.9%2,29121.700860%21.700860%21.7%3,27921.189043%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%173,169173k50
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#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Richland County, selected other counties in the United States, and entities that contain Richland 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 CountyBronxRichland CountyRichlandWahpeton Metro AreaWahpeton Area12.399695%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%15,06415.1k501.412483%1.412483%1.4%1481.277300%1.277300%1.3%193
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#65

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 Richland County, selected other counties in the United States, and entities that contain Richland County
Female
Male
1x0x1xFM#RichlandMecklenburgPalm BeachNorth DakotaWakeWahpeton AreaWestchesterFairfieldContra CostaWest North CentralHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.420049x1.420049x1.42x7.075%7.08%10.047%10.0%-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-1.000000x1.178954x1.178954x1.18x7.618%7.62%8.981%8.98%-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#66

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 Richland County, selected other counties in the United States, and entities that contain Richland County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaWahpeton AreaOrangeNorth DakotaBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxRichlandWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-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-1.000000x1.683227x1.683227x1.68x0.952%0.95%1.603%1.60%-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-1.000000x1.556767x1.556767x1.56x1.102%1.10%1.715%1.72%-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

Principal City:
Wahpeton
Cities:
Abercrombie, Barney, Christine, Colfax, Dwight, Fairmount, Great Bend, Hankinson, Lidgerwood, Mantador, Mooreton, Wahpeton, Walcott, Wyndmere
Townships:
Abercrombie, Antelope, Barney, Barrie, Belford, Brandenburg, Brightwood, Center, Colfax, Danton, Devillo, Dexter, Duerr, Dwight, Eagle, Elma, Fairmount, Freeman, Garborg, Grant, Greendale, Helendale, Homestead, Ibsen, LaMars, Liberty Grove, Mooreton, Moran, Nansen, Sheyenne, Summit, Viking, Walcott, Waldo, West End, Wyndmere
ZIP Codes:
58001, 58008, 58015, 58018, 58030, 58041, 58047, 58051, 58052, 58053, 58057, 58058, 58061, 58075, 58076, 58077, 58081
Unified School Districts:
Fairmount 18, Hankinson 8, Kindred 2, Lidgerwood 28, Richland 44, Wahpeton 37, Wyndmere 42
Congressional District:
ND-At Large
State Senate Districts:
ND-25, ND-26
State House Districts:
ND-25, ND-26
Neighboring Counties:
Cass, Clay, Marshall, Ransom, Roberts, Sargent, Traverse, Wilkin