Educational Attainment in Grant County, North Dakota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of North Dakota and Grant County
Grant County
North Dakota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.405286%41.550480%29.405286%29.4%53459.251101%50.486069%59.251101%59.3%1,07611.343612%7.963451%11.343612%11.3%206
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 Grant County
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-29.229972%-29.229972%-29.2%29.405%29.4%41.550%41.6%17.361289%17.361289%+17.4%59.251%59.3%50.486%50.5%42.445934%42.445934%+42.4%11.344%11.3%7.963%7.96%
% percentage with given level in Grant 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 Grant County
Grant County
North Dakota
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.275330%1.101324%0.275330%0.3%51.156388%1.334151%1.156388%1.2%212.973568%5.241129%2.973568%3.0%5413.656388%20.495931%13.656388%13.7%24811.343612%13.377945%11.343612%11.3%20622.136564%23.039654%22.136564%22.1%40237.114537%27.446415%37.114537%37.1%6745.561674%4.436283%5.561674%5.6%1015.506608%2.970434%5.506608%5.5%1000.275330%0.556734%0.275330%0.3%5
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 Grant County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-75.000052%-75.000052%-75.0%0.275%0.28%1.101%1.10%-13.324099%-13.324099%-13.3%1.156%1.16%1.334%1.33%-43.264740%-43.264740%-43.3%2.974%2.97%5.241%5.24%-33.370249%-33.370249%-33.4%13.656%13.7%20.496%20.5%-15.206613%-15.206613%-15.2%11.344%11.3%13.378%13.4%-3.919721%-3.919721%-3.9%22.137%22.1%23.040%23.0%35.225447%35.225447%+35.2%37.115%37.1%27.446%27.4%25.367870%25.367870%+25.4%5.562%5.56%4.436%4.44%85.380594%85.380594%+85.4%5.507%5.51%2.970%2.97%-50.545421%-50.545421%-50.5%0.275%0.28%0.557%0.56%
% percentage with given level in Grant 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 Grant County
More Females More Males
North Dakota
Grant County
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-16.174977%-13.706378%-16.174977%16%31.650%31.6%27.243%27.2%-0.399691%-0.399691%0%7.780804%59.371%59.4%59.135%59.1%51.710811%21.685289%51.710811%52%8.979%8.98%13.622%13.6%
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 Grant County
More Females More Males
North Dakota
Grant County
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%46.723684%1,000.000000%> 1000%0.000%0%0.541%0.54%-232.210999%-232.210999%232%87.408914%1.796%1.80%0.541%0.54%-107.631874%-36.951163%-107.631874%108%4.040%4.04%1.946%1.95%-20.065388%-25.356255%-20.065388%20%14.927%14.9%12.432%12.4%-2.271141%8.240736%8.240736%8%10.887%10.9%11.784%11.8%-19.360569%-19.360569%19%1.885831%24.130%24.1%20.216%20.2%10.435531%13.005795%10.435531%10%35.241%35.2%38.919%38.9%19.870270%32.312897%19.870270%20%5.051%5.05%6.054%6.05%78.888031%9.639390%78.888031%79%3.928%3.93%7.027%7.03%1,000.000000%9.639542%1,000.000000%> 1000%0.000%0%0.541%0.54%
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 Grant County
Grant County
North Dakota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-346.853583%13.407800%6.853583%6.9%4464213.838120%19.145314%13.838120%13.8%10676620.855615%24.643083%20.855615%20.9%3918726.696833%26.502973%26.696833%26.7%59221
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 Grant County
40%30%20%10%0%%ref.65+45-6435-4425-34-48.883615%-48.883615%48.9%6.854%6.85%13.408%13.4%-27.720590%-27.720590%27.7%13.838%13.8%19.145%19.1%-15.369293%-15.369293%15.4%20.856%20.9%24.643%24.6%0.731463%0.731463%0.7%26.697%26.7%26.503%26.5%
% percentage in Grant 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 Grant County
More Females More Males
North Dakota
Grant County
50%0%50%FM65+45-6435-4425-3495.792079%6.176588%95.792079%95.8%4.720%4.72%9.241%9.24%-40.602837%-27.234590%-40.602837%40.6%16.223%16.2%11.538%11.5%-74.222222%-30.723741%-74.222222%74.2%28.000%28.0%16.071%16.1%-73.267327%-52.646379%-73.267327%73.3%34.653%34.7%20.000%20.0%
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 Grant County
Grant County
North Dakota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$35,909.000000$61,646.000000$35,909.000000$35.9k804.405%4.41%$38,250.000000$45,053.000000$38,250.000000$38.3k24813.656%13.7%$29,821.000000$37,296.000000$29,821.000000$29.8k60833.480%33.5%$29,479.000000$32,314.000000$29,479.000000$29.5k67437.115%37.1%$17,917.000000$26,742.000000$17,917.000000$17.9k20611.344%11.3%$30,911.000000$39,688.000000$30,911.000000$30.9k1,816100.000%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 Grant County
Female Male
North Dakota
Grant County
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-37,115.000000$-39,382.000000$-37,115.000000$37.1k$37,115.000000$4,760.000000$39,382.000000$16,127.000000$41,875.000000$41.9k133115$-18,125.000000$-28,675.000000$-18,125.000000$18.1k$18,125.000000$22,351.000000$28,675.000000$20,544.000000$40,476.000000$40.5k312296$-20,804.000000$-23,743.000000$-20,804.000000$20.8k$20,804.000000$19,946.000000$23,743.000000$17,218.000000$40,750.000000$40.8k314360$-24,250.000000$-30,996.000000$-24,250.000000$24.3k$24,250.000000$15,542.000000$30,996.000000$17,336.000000$39,792.000000$39.8k891925
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 Grant County
Grant County
North Dakota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.692308%88.930958%87.692308%87.7%22881.718062%83.465273%81.718062%81.7%37172.839506%77.098863%72.839506%72.8%29561.818182%61.347166%61.818182%61.8%34
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 Grant County
Female Male
North Dakota
Grant County
Shaded bar tips show excess over facing bar.
10%0%10%20%MFWhite1Hispanic2Other1-9.038902%-6.125000%-9.038902%9.0%9.038902%5.007921%6.125000%1.682665%14.046823%14.0%12679-0.000000%-17.484451%0.000000%0.0%0.000000%0.000000%17.484451%5.479009%0.000000%0.0%00-0.000000%-8.333333%-16.387584%-8.333333%8.3%0.000000%16.387584%1.655461%0.000000%0.0%01
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 Grant County
Female Male
North Dakota
Grant County
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1Hispanic2Other1-15.719064%-5.104735%-26.643974%-4.795177%-20.823799%20.8%15.719064%26.643974%15.719064%15.7%141182-0.000000%-14.381495%-6.074621%0.000000%0.0%0.000000%0.000000%14.381495%0.000000%0.0%00-10.000000%-15.000000%-12.500860%-8.314549%-25.000000%25.0%10.000000%12.500860%10.000000%10.0%23
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 Grant County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#15

Percentage of the population 25 years and older with given highest level of educational attainment
0%15%29%44%59%74%

Coarse: High School Diploma Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
19%35%52%68%84%100%

Coarse: No High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%11%17%23%29%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.20%0.40%0.60%0.80%1.00%

Detailed: Professional Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.3%1.9%2.5%3.2%

Detailed: Master's Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.4%8.9%13.3%17.8%22.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%18%24%30%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%11%23%34%46%58%

Detailed: Some College Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%20%30%40%50%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%17%35%52%70%88%

Detailed: Some High School Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.1%4.1%6.2%8.2%10.3%

Detailed: Less than High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0%5%11%16%22%28%

Detailed: None Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.24%0.48%0.72%0.96%1.20%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Educational Attainment by Place in Grant County

There are 6 places in Grant County. This section compares all 6 of those to each other, Grant County, and other entities that contain or substantially overlap with Grant County.

No H.S. Diploma by Place#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Grant County, selected places in Grant County, and entities that contain Grant County
0%5%10%15%20%Count#HeilElginCarsonUnited States of AmericaUnited StatesGrant CountyGrantMidwestNew LeipzigWest North CentralNorth DakotaLeithRaleigh22.222222%22.222222%22.2%4114.314115%14.314115%14.3%72213.772455%13.772455%13.8%23313.020590%13.020590%13.0%27,818,38027.8M11.343612%11.343612%11.3%20610.244520%10.244520%10.2%4,641,8354.64M9.950249%9.950249%10.0%2049.174633%9.174633%9.2%1,278,0511.28M7.963451%7.963451%8.0%38,03438.0k0.000000%0.000000%0.0%050.000000%0.000000%0.0%06
Count number of people in category
# rank of place out of 6 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Grant County, selected places in Grant County, and entities that contain Grant County
0%10%20%30%40%Count#HeilLeithUnited States of AmericaUnited StatesWest North CentralMidwestNorth DakotaRaleighCarsonNew LeipzigGrant CountyGrantElgin44.444444%44.444444%44.4%8144.444444%44.444444%44.4%4230.315023%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%134,554135k25.000000%25.000000%25.0%2322.754491%22.754491%22.8%38421.890547%21.890547%21.9%44518.061674%18.061674%18.1%32815.308151%15.308151%15.3%776
Count number of people in category
# rank of place out of 6 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Grant County, selected places in Grant County, and entities that contain Grant County
0%1%2%3%Count#ElginUnited States of AmericaUnited StatesWest North CentralMidwestNorth DakotaGrant CountyGrantNew LeipzigCarsonHeilLeithRaleigh3.578529%3.578529%3.6%1813.336158%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%11,63211.6k1.431718%1.431718%1.4%260.995025%0.995025%1.0%220.598802%0.598802%0.6%130.000000%0.000000%0.0%040.000000%0.000000%0.0%050.000000%0.000000%0.0%06
Count number of people in category
# rank of place out of 6 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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Grant County, selected places in Grant County, and entities that contain Grant County
Female
Male
0x5x10xFM#HeilCarsonElginGrantNorth DakotaWest North CentralMidwestUnited StatesNew Leipzig-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%40.000%40.0%1-1.000000x-1.000000x2.608059x2.608059x2.61x7.865%7.87%20.513%20.5%2-1.000000x-1.000000x2.203640x2.203640x2.20x9.319%9.32%20.536%20.5%3-1.000000x-1.000000x1.517108x1.517108x1.52x8.979%8.98%13.622%13.6%-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%-2.356667x-2.356667x2.36x1.000000x1.000000x14.000%14.0%5.941%5.94%4
F percentage of females in category
M percentage of males in category
# rank of place out of 4 by male-to-female sex ratio

Over-Education Sex Ratio by Place#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Grant County, selected places in Grant County, and entities that contain Grant County
Female
Male
0x5x10xFM#New LeipzigCarsonNorth DakotaMidwestWest North CentralUnited StatesGrantElgin-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.980%1.98%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.282%1.28%2-1.000000x-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%-1.661055x-1.661055x1.66x1.000000x1.000000x1.796%1.80%1.081%1.08%-2.087455x-2.087455x2.09x1.000000x1.000000x4.659%4.66%2.232%2.23%3
F percentage of females in category
M percentage of males in category
# rank of place out of 3 by male-to-female sex ratio

Educational Attainment by County Subdivision in Grant County

There are 17 county subdivisions in Grant County. This section compares all 17 of those to each other, Grant County, and other entities that contain or substantially overlap with Grant County.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
0%10%20%Count#Minnie TownshipMinniePretty Rock TownshipPretty RockWest GrantElginCarsonUnited States of AmericaUnited StatesGrant CountyGrantMidwestNew LeipzigWest North CentralNorth DakotaElm TownshipEast GrantWinona TownshipWinonaLark TownshipRaleigh TownshipRaleighLeipzig TownshipLeipzigFisher TownshipFisherRock TownshipLeithFreda TownshipFreda28.205128%28.205128%28.2%11127.272727%27.272727%27.3%3217.692308%17.692308%17.7%46314.314115%14.314115%14.3%72413.772455%13.772455%13.8%23513.020590%13.020590%13.0%27,818,38027.8M11.343612%11.343612%11.3%20610.244520%10.244520%10.2%4,641,8354.64M9.950249%9.950249%10.0%2069.174633%9.174633%9.2%1,278,0511.28M7.963451%7.963451%8.0%38,03438.0k7.017544%7.017544%7.0%476.326034%6.326034%6.3%2683.333333%3.333333%3.3%190.000000%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%016
Count number of people in category
# rank of county subdivision out of 16 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
0%10%20%30%40%Count#LeithUnited States of AmericaUnited StatesWest North CentralWinona TownshipWinonaMidwestNorth DakotaPretty Rock TownshipPretty RockLark TownshipEast GrantCarsonNew LeipzigGrant CountyGrantElm TownshipElginWest GrantMinnie TownshipMinnieLeipzig TownshipLeipzigRaleigh TownshipRaleighFisher TownshipFisherRock TownshipFreda TownshipFreda44.444444%44.444444%44.4%4130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.000000%30.000000%30.0%9228.952816%28.952816%29.0%13,118,64213.1M28.172535%28.172535%28.2%134,554135k27.272727%27.272727%27.3%3325.581395%25.581395%25.6%11424.330900%24.330900%24.3%100522.754491%22.754491%22.8%38621.890547%21.890547%21.9%44718.061674%18.061674%18.1%32817.543860%17.543860%17.5%10815.308151%15.308151%15.3%7799.615385%9.615385%9.6%25107.692308%7.692308%7.7%3116.451613%6.451613%6.5%2126.060606%6.060606%6.1%2130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%016
Count number of people in category
# rank of county subdivision out of 16 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
0%1%2%3%Count#ElginUnited States of AmericaUnited StatesWest North CentralMidwestNorth DakotaGrant CountyGrantEast GrantNew LeipzigCarsonWest GrantElm TownshipLark TownshipMinnie TownshipMinnieWinona TownshipWinonaRaleigh TownshipRaleighLeipzig TownshipLeipzigFisher TownshipFisherRock TownshipPretty Rock TownshipPretty RockLeithFreda TownshipFreda3.578529%3.578529%3.6%1813.336158%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%11,63211.6k1.431718%1.431718%1.4%261.216545%1.216545%1.2%520.995025%0.995025%1.0%230.598802%0.598802%0.6%140.000000%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%016
Count number of people in category
# rank of county subdivision out of 16 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
Female
Male
10x5x0x5x10xFM#Elm TownshipMinnieCarsonElginEast GrantGrantWest GrantNorth DakotaWest North CentralMidwestUnited StatesNew LeipzigWinonaPretty Rock-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.111%11.1%1-1.000000x-1.000000x2.807018x2.807018x2.81x15.000%15.0%42.105%42.1%2-1.000000x-1.000000x2.608059x2.608059x2.61x7.865%7.87%20.513%20.5%3-1.000000x-1.000000x2.203640x2.203640x2.20x9.319%9.32%20.536%20.5%4-1.000000x-1.000000x1.823789x1.823789x1.82x4.348%4.35%7.930%7.93%5-1.000000x-1.000000x1.517108x1.517108x1.52x8.979%8.98%13.622%13.6%-1.000000x-1.000000x1.292645x1.292645x1.29x15.254%15.3%19.718%19.7%6-1.000000x-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%-2.356667x-2.356667x2.36x1.000000x1.000000x14.000%14.0%5.941%5.94%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.692%7.69%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x50.000%50.0%0.000%0%9
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 9 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Grant County, selected county subdivisions in Grant County, and entities that contain Grant County
Female
Male
0x5x10xFM#New LeipzigCarsonNorth DakotaMidwestWest North CentralUnited StatesGrantEast GrantElgin-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.980%1.98%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.282%1.28%2-1.000000x-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%-1.661055x-1.661055x1.66x1.000000x1.000000x1.796%1.80%1.081%1.08%-1.850543x-1.850543x1.85x1.000000x1.000000x1.630%1.63%0.881%0.88%3-2.087455x-2.087455x2.09x1.000000x1.000000x4.659%4.66%2.232%2.23%4
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 4 by male-to-female sex ratio

Educational Attainment by County in North Dakota

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

No H.S. Diploma by County#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Grant County, selected other counties in North Dakota, and entities that contain Grant 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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Grant County, selected other counties in North Dakota, and entities that contain Grant 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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Grant County, selected other counties in North Dakota, and entities that contain Grant 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#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Grant County, selected other counties in North Dakota, and entities that contain Grant 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#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Grant County, selected other counties in North Dakota, and entities that contain Grant 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 Grant County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Grant County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Grant County, selected other counties in the United States, and entities that contain Grant 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 CountyCuyahogaGrant CountyGrantContra Costa CountyContra CostaMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinWest North CentralNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax 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%100,034100k3211.343612%11.343612%11.3%20610.940787%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%38,03438.0k7.696387%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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Grant County, selected other counties in the United States, and entities that contain Grant 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 CountyBronxGrant CountyGrant60.434640%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%173,169173k5018.061674%18.061674%18.1%328
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#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Grant County, selected other counties in the United States, and entities that contain Grant 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 CountyBronxGrant CountyGrant12.399695%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%15,06415.1k501.431718%1.431718%1.4%26
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#46

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 Grant County, selected other counties in the United States, and entities that contain Grant County
Female
Male
1x0x1xFM#GrantMecklenburgPalm BeachNorth DakotaWakeWestchesterFairfieldContra CostaWest North CentralHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.517108x1.517108x1.52x8.979%8.98%13.622%13.6%-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#47

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 Grant County, selected other counties in the United States, and entities that contain Grant County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeNorth DakotaBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronxGrant-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%50-1.661055x-1.661055x1.66x1.000000x1.000000x1.796%1.80%1.081%1.08%
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:
Carson, Elgin, Leith, New Leipzig
Townships:
Elm, Fisher, Freda, Howe, Lark, Leipzig, Minnie, Pretty Rock, Raleigh, Rock, Winona
Unincorporated Places:
Heil, Raleigh
Unorganized Territories:
East Grant, West Grant
ZIP Codes:
57638, 57645, 57660, 58520, 58529, 58533, 58535, 58562, 58564, 58569, 58631, 58638
Unified School Districts:
Elgin-New Leipzig 49, Flasher 39, Glen Ullin 48, Hebron 13, New Salem-Almont, Roosevelt 18
Congressional District:
ND-At Large
State Senate District:
ND-31
State House District:
ND-31
Neighboring Counties:
Adams, Hettinger, Morton, Sioux, Stark
Nearby Counties:
Corson, Oliver