Educational Attainment in Columbia, Brown County, South Dakota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Brown County and Columbia
Columbia
Brown County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma237.903226%38.370452%37.903226%37.9%4754.032258%53.869981%54.032258%54.0%678.064516%7.759567%8.064516%8.1%10
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 Brown County at large.
Scope: population of Brown County and Columbia
-2%0%+2%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-1.217671%-1.217671%-1.2%37.903%37.9%38.370%38.4%0.301238%0.301238%+0.3%54.032%54.0%53.870%53.9%3.929974%3.929974%+3.9%8.065%8.06%7.760%7.76%
% percentage with given level in Columbia
ref. percentage with given level in Brown County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Brown County and Columbia
Columbia
Brown County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.415464%02.419355%1.172365%2.419355%2.4%35.645161%5.175659%5.645161%5.6%713.709677%20.161543%13.709677%13.7%1716.129032%10.445420%16.129032%16.1%209.677419%21.118256%9.677419%9.7%1244.354839%32.751725%44.354839%44.4%554.838710%3.720985%4.838710%4.8%63.225806%3.646487%3.225806%3.2%40.000000%0.000000%0.0%0.392095%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Brown County at large.
Scope: population of Brown County and Columbia
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%1.415%1.42%106.365304%106.365304%+106.4%2.419%2.42%1.172%1.17%9.071359%9.071359%+9.1%5.645%5.65%5.176%5.18%-32.000853%-32.000853%-32.0%13.710%13.7%20.162%20.2%54.412477%54.412477%+54.4%16.129%16.1%10.445%10.4%-54.175102%-54.175102%-54.2%9.677%9.68%21.118%21.1%35.427488%35.427488%+35.4%44.355%44.4%32.752%32.8%30.038411%30.038411%+30.0%4.839%4.84%3.721%3.72%-11.536594%-11.536594%-11.5%3.226%3.23%3.646%3.65%-100.000000%-100.000000%-100.0%0.000%0%0.392%0.39%
% percentage with given level in Columbia
ref. percentage with given level in Brown County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Brown County and Columbia
More Females More Males
Brown County
Columbia
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-10.028860%-10.551061%-10.028860%10%39.683%39.7%36.066%36.1%0.241080%3.788851%0.241080%0%53.968%54.0%54.098%54.1%54.918033%26.716626%54.918033%55%6.349%6.35%9.836%9.84%
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 Brown County and Columbia
More Females More Males
Brown County
Columbia
100%0%100%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3106.557377%99.393204%106.557377%107%1.587%1.59%3.279%3.28%-142.063492%-84.900873%-142.063492%142%7.937%7.94%3.279%3.28%-20.866707%89.344262%89.344262%89%9.524%9.52%18.033%18.0%-79.818594%-79.818594%80%8.928891%20.635%20.6%11.475%11.5%-93.650794%-93.650794%94%4.309266%12.698%12.7%6.557%6.56%15.195460%3.454651%15.195460%15%41.270%41.3%47.541%47.5%106.557377%45.955825%106.557377%107%3.175%3.17%6.557%6.56%3.278689%13.432578%3.278689%3%3.175%3.17%3.279%3.28%
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 Brown County and Columbia
Columbia
Brown County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-346.250000%12.165929%6.250000%6.3%2324.761905%22.878192%4.761905%4.8%24216.666667%24.545030%16.666667%16.7%31831.250000%20.748560%31.250000%31.3%1032
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 Brown County at large.
Scope: population of Brown County and Columbia
60%40%20%0%20%40%%ref.65+45-6435-4425-34-48.627022%-48.627022%48.6%6.250%6.25%12.166%12.2%-79.185834%-79.185834%79.2%4.762%4.76%22.878%22.9%-32.097592%-32.097592%32.1%16.667%16.7%24.545%24.5%50.612858%50.612858%50.6%31.250%31.3%20.749%20.7%
% percentage in Columbia with a Bachelor's degree
ref percentage in Brown County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Brown County and Columbia
More Females More Males
Brown County
Columbia
0%500%1,000%FM65+45-6435-4425-34-1.862210%1,000.000000%1,000.000000%> 1000%0.000%0%16.667%16.7%-12.500019%1,000.000000%1,000.000000%> 1000%0.000%0%9.524%9.52%0.000000%-25.651268%0.000000%0.0%16.667%16.7%16.667%16.7%0.000000%-75.387123%0.000000%0.0%31.250%31.3%31.250%31.3%
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 Brown County and Columbia
Columbia
Brown County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2Total$32,083.000000$41,919.000000$32,083.000000$32.1k1713.710%13.7%$30,833.000000$36,121.000000$30,833.000000$30.8k3225.806%25.8%$31,389.000000$29,313.000000$31,389.000000$31.4k5544.355%44.4%$31,389.000000$35,883.000000$31,389.000000$31.4k124100.000%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 Brown County and Columbia
Female Male
Brown County
Columbia
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeH.S. Diploma2Total$-27,500.000000$-35,939.000000$-27,500.000000$27.5k$27,500.000000$6,250.000000$35,939.000000$18,827.000000$33,750.000000$33.8k611$-16,750.000000$-23,333.000000$-16,750.000000$16.8k$16,750.000000$20,125.000000$23,333.000000$14,359.000000$36,875.000000$36.9k2629$-25,000.000000$-29,307.000000$-25,000.000000$25.0k$25,000.000000$11,250.000000$29,307.000000$12,595.000000$36,250.000000$36.3k6361
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 Brown County and Columbia
Columbia
Brown County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.888889%92.067227%88.888889%88.9%1696.551724%84.668158%96.551724%96.6%2887.179487%78.841832%87.179487%87.2%3433.333333%71.191710%33.333333%33.3%2
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 Brown County and Columbia
Female Male
Brown County
Columbia
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%8%MFWhite1-6.349206%-6.035337%-6.349206%6.3%6.349206%3.486859%6.035337%1.772942%9.836066%9.8%64
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 Brown County and Columbia
Female Male
Brown County
Columbia
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1-19.047619%-25.821351%-4.669072%-19.047619%19.0%19.047619%5.542545%25.821351%24.590164%24.6%1512
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Aberdeen Area

There are 90 county subdivisions in the Aberdeen Area. This section compares Columbia to the 50 most populous county subdivisions in the Aberdeen Area and to those entities that contain or substantially overlap with Columbia. The least populous of the compared county subdivisions has a population of 66.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia, selected other county subdivisions in the Aberdeen Area, and entities that contain Columbia
0%50%100%Count#Rosette TownshipRosetteBowdle TownshipBowdleBowdleHosmerOrdway TownshipOrdwayGem TownshipRoscoeUnited States of AmericaUnited StatesAberdeen TownshipAberdeenTown of FrederickFrederickIpswichTown of WestportWestportMidwestBrainard TownshipBrainardWest North CentralHeclaSouth DakotaHighland TownshipHighlandLincoln TownshipLincolnAberdeenAberdeen Metro AreaAberdeen AreaColumbiaColumbiaWarner TownshipWarnerHarmony TownshipHarmonyBrown CountyBrownClaremont TownshipClaremontTown of ClaremontClaremontWestport TownshipWestportGroton Area School District 06-6Groton 06-6Richland TownshipRichlandTown of WarnerWarnerGrotonZIP Code 57433ZIP 57433952000Tract 952000Cortlandt TownshipCortlandtBath TownshipMadison TownshipMadisonOneota TownshipOneotaRavinia TownshipRaviniaPrairiewood TownshipPrairiewoodEast Hanson TownshipE HansonOsceola TownshipOsceolaGarden Prairie TownshipGdn PrairieHecla TownshipHeclaSouth Detroit TownshipS DetroitSangamon TownshipSangamonGroton TownshipGrotonWest Rondell TownshipW RondellMercier TownshipMercierRiverside TownshipRiversideShelby TownshipShelbyVermont TownshipVermontNew Hope TownshipNew HopeGarland TownshipGarlandCarlisle TownshipCarlisleFrederick TownshipFrederickUnion TownshipUnionRichland TownshipRichlandEast Rondell TownshipE Rondell100.000000%100.000000%100.0%31130.000000%30.000000%30.0%15218.529412%18.529412%18.5%63315.789474%15.789474%15.8%27415.137615%15.137615%15.1%33514.893617%14.893617%14.9%14613.930348%13.930348%13.9%28713.020590%13.020590%13.0%27,818,38027.8M12.806540%12.806540%12.8%94812.716763%12.716763%12.7%22911.323529%11.323529%11.3%771011.235955%11.235955%11.2%101110.244520%10.244520%10.2%4,641,8354.64M9.859155%9.859155%9.9%7129.174633%9.174633%9.2%1,278,0511.28M8.965517%8.965517%9.0%13138.813537%8.813537%8.8%49,05549.1k8.620690%8.620690%8.6%5148.536585%8.536585%8.5%84158.481745%8.481745%8.5%1,524168.084172%8.084172%8.1%2,2828.064516%8.064516%8.1%108.064516%8.064516%8.1%10177.847534%7.847534%7.8%35187.812500%7.812500%7.8%5197.759567%7.759567%7.8%1,9797.692308%7.692308%7.7%8207.228916%7.228916%7.2%6216.818182%6.818182%6.8%3225.646700%5.646700%5.6%1485.357143%5.357143%5.4%3235.128205%5.128205%5.1%16245.015924%5.015924%5.0%63254.608295%4.608295%4.6%104.133796%4.133796%4.1%1312.930403%2.930403%2.9%16261.574803%1.574803%1.6%10271.538462%1.538462%1.5%1281.388889%1.388889%1.4%1290.000000%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 without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia, selected other county subdivisions in the Aberdeen Area, and entities that contain Columbia
0%20%40%60%Count#Harmony TownshipHarmonyMercier TownshipMercierPrairiewood TownshipPrairiewoodNew Hope TownshipNew HopeWestport TownshipWestportBrainard TownshipBrainardFrederick TownshipFrederickShelby TownshipShelbyCortlandt TownshipCortlandtBath TownshipWarner TownshipWarnerWest Rondell TownshipW RondellUnited States of AmericaUnited StatesWest North CentralZIP Code 57433ZIP 57433Aberdeen TownshipAberdeenMidwestGrotonAberdeenBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaGarland TownshipGarlandSouth Detroit TownshipS DetroitRavinia TownshipRaviniaOrdway TownshipOrdwayLincoln TownshipLincolnClaremont TownshipClaremontOneota TownshipOneotaRiverside TownshipRiversideTown of WarnerWarnerIpswichGroton Area School District 06-6Groton 06-6Town of WestportWestport952000Tract 952000ColumbiaColumbiaHighland TownshipHighlandRoscoeTown of ClaremontClaremontBowdleSangamon TownshipSangamonHeclaTown of FrederickFrederickGroton TownshipGrotonRichland TownshipRichlandEast Rondell TownshipE RondellVermont TownshipVermontGem TownshipHosmerBowdle TownshipBowdleEast Hanson TownshipE HansonUnion TownshipUnionOsceola TownshipOsceolaMadison TownshipMadisonGarden Prairie TownshipGdn PrairieHecla TownshipHeclaCarlisle TownshipCarlisleRichland TownshipRichlandRosette TownshipRosette68.750000%68.750000%68.8%44161.194030%61.194030%61.2%41258.995816%58.995816%59.0%141343.859649%43.859649%43.9%25440.909091%40.909091%40.9%18540.845070%40.845070%40.8%29639.473684%39.473684%39.5%15738.461538%38.461538%38.5%15835.531136%35.531136%35.5%194933.700787%33.700787%33.7%2141032.959641%32.959641%33.0%1471131.666667%31.666667%31.7%191230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.953917%29.953917%30.0%6529.291553%29.291553%29.3%2151328.952816%28.952816%29.0%13,118,64213.1M28.582803%28.582803%28.6%3591428.317008%28.317008%28.3%5,0881527.925031%27.925031%27.9%7,12227.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74727.272727%27.272727%27.3%151626.785714%26.785714%26.8%151726.332288%26.332288%26.3%841826.146789%26.146789%26.1%571925.304878%25.304878%25.3%2492025.000000%25.000000%25.0%262125.000000%25.000000%25.0%182225.000000%25.000000%25.0%122324.679487%24.679487%24.7%772424.411765%24.411765%24.4%1662523.693247%23.693247%23.7%62123.595506%23.595506%23.6%212623.288104%23.288104%23.3%73821.774194%21.774194%21.8%2721.774194%21.774194%21.8%272720.689655%20.689655%20.7%122818.407960%18.407960%18.4%372918.072289%18.072289%18.1%153017.647059%17.647059%17.6%603116.000000%16.000000%16.0%123215.172414%15.172414%15.2%223315.028902%15.028902%15.0%263414.666667%14.666667%14.7%113514.285714%14.285714%14.3%83612.962963%12.962963%13.0%73711.111111%11.111111%11.1%53810.638298%10.638298%10.6%103910.526316%10.526316%10.5%184010.000000%10.000000%10.0%5419.433962%9.433962%9.4%10429.090909%9.090909%9.1%3436.153846%6.153846%6.2%4440.000000%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 bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia, selected other county subdivisions in the Aberdeen Area, and entities that contain Columbia
0%10%20%Count#Shelby TownshipShelbyPrairiewood TownshipPrairiewoodGroton TownshipGrotonVermont TownshipVermontAberdeen TownshipAberdeenWest Rondell TownshipW RondellLincoln TownshipLincolnBath TownshipCortlandt TownshipCortlandtUnited States of AmericaUnited StatesWest North CentralMidwestBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaColumbiaColumbiaAberdeenWarner TownshipWarnerBowdleGroton Area School District 06-6Groton 06-6ZIP Code 57433ZIP 57433GrotonTown of FrederickFrederick952000Tract 952000HeclaRoscoeIpswichTown of WarnerWarnerRavinia TownshipRaviniaOrdway TownshipOrdwayHosmerClaremont TownshipClaremontEast Hanson TownshipE HansonTown of ClaremontClaremontTown of WestportWestportMadison TownshipMadisonHarmony TownshipHarmonyOneota TownshipOneotaOsceola TownshipOsceolaGarden Prairie TownshipGdn PrairieHecla TownshipHeclaSouth Detroit TownshipS DetroitBrainard TownshipBrainardSangamon TownshipSangamonGem TownshipMercier TownshipMercierRiverside TownshipRiversideBowdle TownshipBowdleWestport TownshipWestportNew Hope TownshipNew HopeGarland TownshipGarlandCarlisle TownshipCarlisleFrederick TownshipFrederickHighland TownshipHighlandUnion TownshipUnionRichland TownshipRichlandRichland TownshipRichlandRosette TownshipRosetteEast Rondell TownshipE Rondell28.205128%28.205128%28.2%11125.941423%25.941423%25.9%62214.666667%14.666667%14.7%11311.111111%11.111111%11.1%547.901907%7.901907%7.9%5856.666667%6.666667%6.7%465.081301%5.081301%5.1%5074.251969%4.251969%4.3%2783.846154%3.846154%3.8%2193.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.587829%2.587829%2.6%6602.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%7002.419355%2.419355%2.4%32.419355%2.419355%2.4%3102.254007%2.254007%2.3%405112.017937%2.017937%2.0%9121.764706%1.764706%1.8%6131.755055%1.755055%1.8%461.382488%1.382488%1.4%31.353503%1.353503%1.4%17141.156069%1.156069%1.2%2151.136005%1.136005%1.1%360.689655%0.689655%0.7%1160.497512%0.497512%0.5%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#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in the Aberdeen Area, and entities that contain Columbia
Female
Male
10x5x0x5x10xFM#Bath TownshipMadisonBrainardHighlandRichlandWestportFrederickAberdeenLincolnGroton 06-6WarnerGrotonIpswichBowdleTract 952000ColumbiaColumbiaAberdeen AreaRoscoeBrownZIP 57433South DakotaAberdeenBowdleWest North CentralMidwestUnited StatesHosmerCortlandtOrdwayHeclaWarnerClaremontClaremontHarmonyOneotaGem TownshipWestport-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.882%2.88%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.703%2.70%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.909%15.9%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%16.667%16.7%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.345%10.3%5-1.000000x-1.000000x3.574468x3.574468x3.57x4.762%4.76%17.021%17.0%6-1.000000x-1.000000x2.993478x2.993478x2.99x6.173%6.17%18.478%18.5%7-1.000000x-1.000000x2.967051x2.967051x2.97x6.213%6.21%18.434%18.4%8-1.000000x-1.000000x2.954050x2.954050x2.95x4.570%4.57%13.501%13.5%9-1.000000x-1.000000x2.947806x2.947806x2.95x2.848%2.85%8.396%8.40%-1.000000x-1.000000x2.886792x2.886792x2.89x2.614%2.61%7.547%7.55%10-1.000000x-1.000000x2.473973x2.473973x2.47x2.976%2.98%7.363%7.36%11-1.000000x-1.000000x1.851852x1.851852x1.85x7.941%7.94%14.706%14.7%12-1.000000x-1.000000x1.681034x1.681034x1.68x14.359%14.4%24.138%24.1%13-1.000000x-1.000000x1.632902x1.632902x1.63x3.106%3.11%5.072%5.07%-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%14-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.294118x1.294118x1.29x12.121%12.1%15.686%15.7%15-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%-1.000000x-1.000000x1.258475x1.258475x1.26x4.040%4.04%5.085%5.08%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%16-1.000000x-1.000000x1.142857x1.142857x1.14x28.000%28.0%32.000%32.0%17-1.000000x-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%-1.141798x-1.141798x1.14x1.000000x1.000000x16.867%16.9%14.773%14.8%18-1.548881x-1.548881x1.55x1.000000x1.000000x3.534%3.53%2.281%2.28%19-1.910761x-1.910761x1.91x1.000000x1.000000x18.898%18.9%9.890%9.89%20-2.100000x-2.100000x2.10x1.000000x1.000000x12.000%12.0%5.714%5.71%21-3.047264x-3.047264x3.05x1.000000x1.000000x12.438%12.4%4.082%4.08%22-4.431818x-4.431818x4.43x1.000000x1.000000x11.364%11.4%2.564%2.56%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.035%14.0%0.000%0%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.204%10.2%0.000%0%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.704%3.70%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x29.787%29.8%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x18.750%18.8%0.000%0%28
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 28 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in the Aberdeen Area, and entities that contain Columbia
Female
Male
10x5x0x5x10xFM#Bath TownshipRoscoeHeclaW RondellShelbyAberdeenBrownAberdeen AreaPrairiewoodColumbiaColumbiaAberdeenTract 952000ZIP 57433South DakotaMidwestWest North CentralUnited StatesLincolnFrederickGroton 06-6WarnerCortlandtBowdleGrotonGrotonVermont-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.781%7.78%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.980%0.98%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.429%1.43%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.765%11.8%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%73.333%73.3%5-1.000000x-1.000000x3.026479x3.026479x3.03x1.147%1.15%3.472%3.47%6-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x2.117647x2.117647x2.12x16.667%16.7%35.294%35.3%7-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%8-1.000000x-1.000000x1.896745x1.896745x1.90x5.325%5.33%10.101%10.1%9-1.000000x-1.000000x1.827295x1.827295x1.83x0.793%0.79%1.449%1.45%-1.000000x-1.000000x1.677966x1.677966x1.68x1.010%1.01%1.695%1.69%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.066277x1.066277x1.07x4.936%4.94%5.263%5.26%10-1.135802x-1.135802x1.14x1.000000x1.000000x1.235%1.23%1.087%1.09%11-1.323018x-1.323018x1.32x1.000000x1.000000x2.002%2.00%1.513%1.51%-1.523632x-1.523632x1.52x1.000000x1.000000x2.488%2.49%1.633%1.63%12-1.858657x-1.858657x1.86x1.000000x1.000000x4.947%4.95%2.662%2.66%13-3.717949x-3.717949x3.72x1.000000x1.000000x2.564%2.56%0.690%0.69%14-4.055556x-4.055556x4.06x1.000000x1.000000x2.083%2.08%0.514%0.51%15-10.000000x-10.000000x> 10.0x1.000000x1.000000x35.484%35.5%0.000%0%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x20.000%20.0%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 Subdivision in South Dakota

There are 1,335 county subdivisions in South Dakota. This section compares Columbia to the 50 most populous county subdivisions in South Dakota and to those entities that contain or substantially overlap with Columbia. The least populous of the compared county subdivisions has a population of 2,278.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia, selected other county subdivisions in South Dakota, and entities that contain Columbia
0%5%10%15%20%25%Count#West ToddEast Oglala LakotaE Oglala LakotaEast CorsonWest Oglala LakotaW Oglala LakotaHuronSissetonEast ToddWinnerMobridgeNorth DeweyUnited States of AmericaUnited StatesNorth Sioux CityN Sioux CityMidwestLeadMilbankFort PierreMitchellPierreSioux FallsCantonSturgisWest North CentralWest ButteYanktonSouth DakotaBox ElderAberdeenAberdeen Metro AreaAberdeen AreaWatertownColumbiaColumbiaRapid CityBrown CountyBrownHot SpringsWest CusterChamberlainBelle FourcheMadisonSouthwest MeadeSW MeadeWest YanktonRedfieldGroton Area School District 06-6Groton 06-6HartfordCentral PenningtonCntrl PenningtonSpearfishDell RapidsVermillionSplit Rock TownshipSplit RockZIP Code 57433ZIP 57433Big Sioux TownshipBig Sioux952000Tract 952000Mount RushmoreMt RushmoreBrookingsBox ElderSioux FallsWest HughesNorth LawrenceN LawrenceHarrisburgBrandonSpringdale TownshipSpringdaleTea26.419857%26.419857%26.4%628123.352855%23.352855%23.4%638221.846154%21.846154%21.8%284321.305273%21.305273%21.3%901419.339458%19.339458%19.3%1,663517.559524%17.559524%17.6%295614.750151%14.750151%14.8%245714.250125%14.250125%14.3%286813.656041%13.656041%13.7%347913.483764%13.483764%13.5%2451013.020590%13.020590%13.0%27,818,38027.8M12.222888%12.222888%12.2%2041110.244520%10.244520%10.2%4,641,8354.64M10.186389%10.186389%10.2%2351210.160920%10.160920%10.2%2211310.089400%10.089400%10.1%158149.976200%9.976200%10.0%1,006159.786495%9.786495%9.8%958169.702326%9.702326%9.7%9,123179.388840%9.388840%9.4%212189.364909%9.364909%9.4%435199.174633%9.174633%9.2%1,278,0511.28M8.965929%8.965929%9.0%150208.859746%8.859746%8.9%885218.813537%8.813537%8.8%49,05549.1k8.696917%8.696917%8.7%299228.481745%8.481745%8.5%1,524238.084172%8.084172%8.1%2,2828.084058%8.084058%8.1%1,181248.064516%8.064516%8.1%108.064516%8.064516%8.1%107.926704%7.926704%7.9%3,850257.759567%7.759567%7.8%1,9797.445632%7.445632%7.4%202267.441592%7.441592%7.4%258277.435159%7.435159%7.4%129287.221350%7.221350%7.2%276296.674392%6.674392%6.7%288306.256121%6.256121%6.3%511316.090226%6.090226%6.1%162325.858171%5.858171%5.9%114335.646700%5.646700%5.6%1485.492639%5.492639%5.5%97345.278205%5.278205%5.3%480355.231536%5.231536%5.2%357365.117271%5.117271%5.1%120374.908504%4.908504%4.9%228384.757548%4.757548%4.8%104394.608295%4.608295%4.6%104.303279%4.303279%4.3%105404.133796%4.133796%4.1%1314.091154%4.091154%4.1%228413.850760%3.850760%3.9%418423.776824%3.776824%3.8%44433.667391%3.667391%3.7%591443.335250%3.335250%3.3%58453.233720%3.233720%3.2%145462.122642%2.122642%2.1%63471.887113%1.887113%1.9%111481.596114%1.596114%1.6%23491.520000%1.520000%1.5%3850
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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia, selected other county subdivisions in South Dakota, and entities that contain Columbia
0%20%40%Count#VermillionSioux FallsHarrisburgBig Sioux TownshipBig SiouxBrookingsSplit Rock TownshipSplit RockWest HughesMount RushmoreMt RushmoreSpringdale TownshipSpringdaleNorth LawrenceN LawrenceTeaHartfordBrandonMadisonSpearfishPierreRapid CityUnited States of AmericaUnited StatesSioux FallsWest North CentralZIP Code 57433ZIP 57433YanktonWest CusterChamberlainMidwestAberdeenBrown CountyBrownLeadSouth DakotaAberdeen Metro AreaAberdeen AreaSouthwest MeadeSW MeadeFort PierreMitchellDell RapidsWest YanktonWest ButteWinnerGroton Area School District 06-6Groton 06-6952000Tract 952000Hot SpringsMobridgeColumbiaColumbiaEast ToddNorth Sioux CityN Sioux CityCantonWatertownBox ElderHuronSturgisCentral PenningtonCntrl PenningtonSissetonBelle FourcheRedfieldBox ElderNorth DeweyEast CorsonMilbankEast Oglala LakotaE Oglala LakotaWest ToddWest Oglala LakotaW Oglala Lakota55.026911%55.026911%55.0%2,556152.057090%52.057090%52.1%8,389247.843666%47.843666%47.8%1,420347.745902%47.745902%47.7%1,165447.250115%47.250115%47.3%5,129545.059469%45.059469%45.1%985642.955722%42.955722%43.0%747742.436749%42.436749%42.4%2,365841.498959%41.498959%41.5%598938.157895%38.157895%38.2%1,7111037.040000%37.040000%37.0%9261134.767837%34.767837%34.8%6141233.764026%33.764026%33.8%1,9861333.534183%33.534183%33.5%1,4471433.015826%33.015826%33.0%2,2531532.516089%32.516089%32.5%3,1831630.533251%30.533251%30.5%14,83014.8k1730.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k1830.056536%30.056536%30.1%4,186,9564.19M29.953917%29.953917%30.0%6529.842827%29.842827%29.8%2,9811929.622152%29.622152%29.6%1,0272029.452450%29.452450%29.5%5112128.952816%28.952816%29.0%13,118,64213.1M28.317008%28.317008%28.3%5,0882227.925031%27.925031%27.9%7,12227.568270%27.568270%27.6%6362327.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74727.215965%27.215965%27.2%2,2232427.075351%27.075351%27.1%4242526.824673%26.824673%26.8%2,7052626.652452%26.652452%26.7%6252726.578947%26.578947%26.6%7072825.582785%25.582785%25.6%4282924.065770%24.065770%24.1%4833023.693247%23.693247%23.7%62123.288104%23.288104%23.3%73822.889790%22.889790%22.9%6213122.077922%22.077922%22.1%5613221.774194%21.774194%21.8%2721.774194%21.774194%21.8%2721.733895%21.733895%21.7%3613321.569802%21.569802%21.6%3603420.992028%20.992028%21.0%4743520.898077%20.898077%20.9%3,0533620.600858%20.600858%20.6%2403720.002326%20.002326%20.0%1,7203819.763186%19.763186%19.8%9183918.803607%18.803607%18.8%1,7104018.452381%18.452381%18.5%3104118.158032%18.158032%18.2%6944218.088386%18.088386%18.1%3524317.626527%17.626527%17.6%6064413.538800%13.538800%13.5%2464513.076923%13.076923%13.1%1704612.413793%12.413793%12.4%2704711.713031%11.713031%11.7%3204810.769878%10.769878%10.8%2564910.711752%10.711752%10.7%45350
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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia, selected other county subdivisions in South Dakota, and entities that contain Columbia
0%5%10%Count#VermillionBig Sioux TownshipBig SiouxBrookingsMount RushmoreMt RushmoreSplit Rock TownshipSplit RockSpringdale TownshipSpringdaleSioux FallsWest HughesFort PierreWinnerSpearfishMadisonMobridgeHarrisburgTeaWest YanktonUnited States of AmericaUnited StatesHot SpringsPierreYanktonWest North CentralChamberlainRapid CityMidwestSioux FallsNorth LawrenceN LawrenceBrown CountyBrownRedfieldWest CusterSouth DakotaAberdeen Metro AreaAberdeen AreaColumbiaColumbiaAberdeenSouthwest MeadeSW MeadeHartfordBrandonCentral PenningtonCntrl PenningtonSissetonBox ElderGroton Area School District 06-6Groton 06-6North Sioux CityN Sioux CityMitchellZIP Code 57433ZIP 57433CantonLeadSturgisWest Todd952000Tract 952000WatertownDell RapidsBelle FourcheMilbankNorth DeweyHuronEast ToddWest Oglala LakotaW Oglala LakotaBox ElderEast Oglala LakotaE Oglala LakotaEast CorsonWest Butte13.842842%13.842842%13.8%643110.737705%10.737705%10.7%26226.927683%6.927683%6.9%75236.352055%6.352055%6.4%35446.129918%6.129918%6.1%13455.968078%5.968078%6.0%8665.963388%5.963388%6.0%96174.715354%4.715354%4.7%8284.150702%4.150702%4.2%6593.986049%3.986049%4.0%80103.898007%3.898007%3.9%266113.777520%3.777520%3.8%163123.541913%3.541913%3.5%90133.537736%3.537736%3.5%105143.400000%3.400000%3.4%85153.345865%3.345865%3.3%89163.336158%3.336158%3.3%7,127,6737.13M3.243642%3.243642%3.2%88173.197467%3.197467%3.2%313183.003304%3.003304%3.0%300192.978981%2.978981%3.0%414,980415k2.939481%2.939481%2.9%51202.927733%2.927733%2.9%1,422212.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672222.720785%2.720785%2.7%122232.587829%2.587829%2.6%6602.569373%2.569373%2.6%50242.567061%2.567061%2.6%89252.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%7002.419355%2.419355%2.4%32.419355%2.419355%2.4%32.254007%2.254007%2.3%405262.252693%2.252693%2.3%184272.151755%2.151755%2.2%38282.006120%2.006120%2.0%118291.792391%1.792391%1.8%163301.785714%1.785714%1.8%30311.774287%1.774287%1.8%61321.755055%1.755055%1.8%461.437987%1.437987%1.4%24331.388338%1.388338%1.4%140341.382488%1.382488%1.4%31.284322%1.284322%1.3%29351.257044%1.257044%1.3%29361.227126%1.227126%1.2%57371.177955%1.177955%1.2%28381.136005%1.136005%1.1%360.937778%0.937778%0.9%137390.724947%0.724947%0.7%17400.627943%0.627943%0.6%24410.459770%0.459770%0.5%10420.440286%0.440286%0.4%8430.430283%0.430283%0.4%37440.421433%0.421433%0.4%7450.401986%0.401986%0.4%17460.257511%0.257511%0.3%3470.000000%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#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in South Dakota, and entities that contain Columbia
Female
Male
10x5x0x5xFM#West ButteSW MeadeCantonWest HughesHarrisburgDell RapidsGroton 06-6Hot SpringsSplit RockSioux FallsWest CusterTract 952000Box ElderHartfordColumbiaColumbiaWest YanktonN Sioux CityMt RushmoreVermillionW Oglala LakotaSturgisWest ToddMitchellMilbankFort PierreAberdeen AreaChamberlainWatertownSissetonN LawrenceBrownMadisonZIP 57433RedfieldSouth DakotaAberdeenRapid CitySpringdaleWest North CentralMidwestSioux FallsUnited StatesHuronNorth DeweySpearfishLeadMobridgeEast ToddBelle FourcheWinnerBrookingsYanktonE Oglala LakotaEast CorsonTeaPierreCntrl PenningtonBrandonBox ElderBig Sioux-1.000000x-1.000000x5.219970x5.219970x5.22x2.829%2.83%14.767%14.8%1-1.000000x-1.000000x4.945813x4.945813x4.95x2.085%2.09%10.314%10.3%2-1.000000x-1.000000x4.258030x4.258030x4.26x3.493%3.49%14.872%14.9%3-1.000000x-1.000000x4.113585x4.113585x4.11x1.290%1.29%5.305%5.30%4-1.000000x-1.000000x3.814476x3.814476x3.81x0.929%0.93%3.545%3.55%5-1.000000x-1.000000x3.106771x3.106771x3.11x2.515%2.51%7.813%7.81%6-1.000000x-1.000000x2.947806x2.947806x2.95x2.848%2.85%8.396%8.40%-1.000000x-1.000000x2.001333x2.001333x2.00x4.974%4.97%9.955%9.96%7-1.000000x-1.000000x1.875257x1.875257x1.88x3.263%3.26%6.119%6.12%8-1.000000x-1.000000x1.757060x1.757060x1.76x2.689%2.69%4.724%4.72%9-1.000000x-1.000000x1.724210x1.724210x1.72x5.515%5.52%9.510%9.51%10-1.000000x-1.000000x1.632902x1.632902x1.63x3.106%3.11%5.072%5.07%-1.000000x-1.000000x1.607070x1.607070x1.61x6.697%6.70%10.763%10.8%11-1.000000x-1.000000x1.586684x1.586684x1.59x4.215%4.22%6.689%6.69%12-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%-1.000000x-1.000000x1.541746x1.541746x1.54x4.769%4.77%7.353%7.35%13-1.000000x-1.000000x1.524572x1.524572x1.52x9.646%9.65%14.706%14.7%14-1.000000x-1.000000x1.515325x1.515325x1.52x3.261%3.26%4.942%4.94%15-1.000000x-1.000000x1.498461x1.498461x1.50x3.906%3.91%5.853%5.85%16-1.000000x-1.000000x1.494353x1.494353x1.49x17.285%17.3%25.829%25.8%17-1.000000x-1.000000x1.480208x1.480208x1.48x7.668%7.67%11.350%11.3%18-1.000000x-1.000000x1.477030x1.477030x1.48x21.515%21.5%31.778%31.8%19-1.000000x-1.000000x1.448467x1.448467x1.45x8.208%8.21%11.889%11.9%20-1.000000x-1.000000x1.413342x1.413342x1.41x8.453%8.45%11.947%11.9%21-1.000000x-1.000000x1.389522x1.389522x1.39x8.389%8.39%11.656%11.7%22-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.320837x1.320837x1.32x6.455%6.46%8.526%8.53%23-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%24-1.000000x-1.000000x1.293077x1.293077x1.29x15.428%15.4%19.949%19.9%25-1.000000x-1.000000x1.285433x1.285433x1.29x2.828%2.83%3.635%3.63%26-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%-1.000000x-1.000000x1.265403x1.265403x1.27x5.906%5.91%7.474%7.47%27-1.000000x-1.000000x1.258475x1.258475x1.26x4.040%4.04%5.085%5.08%-1.000000x-1.000000x1.255401x1.255401x1.26x5.273%5.27%6.619%6.62%28-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%29-1.000000x-1.000000x1.168092x1.168092x1.17x7.323%7.32%8.554%8.55%30-1.000000x-1.000000x1.164868x1.164868x1.16x1.468%1.47%1.711%1.71%31-1.000000x-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-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%32-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100283x1.100283x1.10x18.463%18.5%20.314%20.3%33-1.000000x-1.000000x1.036666x1.036666x1.04x13.258%13.3%13.744%13.7%34-1.000000x-1.000000x1.028284x1.028284x1.03x5.163%5.16%5.309%5.31%35-1.000000x-1.000000x1.012928x1.012928x1.01x10.121%10.1%10.252%10.3%36-1.010176x-1.010176x1.01x1.000000x1.000000x13.723%13.7%13.584%13.6%37-1.080159x-1.080159x1.08x1.000000x1.000000x15.295%15.3%14.160%14.2%38-1.103812x-1.103812x1.10x1.000000x1.000000x7.553%7.55%6.842%6.84%39-1.208183x-1.208183x1.21x1.000000x1.000000x15.516%15.5%12.842%12.8%40-1.222914x-1.222914x1.22x1.000000x1.000000x4.243%4.24%3.470%3.47%41-1.234367x-1.234367x1.23x1.000000x1.000000x9.838%9.84%7.970%7.97%42-1.415104x-1.415104x1.42x1.000000x1.000000x27.121%27.1%19.165%19.2%43-1.422449x-1.422449x1.42x1.000000x1.000000x25.746%25.7%18.100%18.1%44-1.596464x-1.596464x1.60x1.000000x1.000000x1.830%1.83%1.146%1.15%45-1.657419x-1.657419x1.66x1.000000x1.000000x12.036%12.0%7.262%7.26%46-1.799878x-1.799878x1.80x1.000000x1.000000x6.782%6.78%3.768%3.77%47-1.923915x-1.923915x1.92x1.000000x1.000000x2.453%2.45%1.275%1.27%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.737%7.74%0.617%0.62%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.801%8.80%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in South Dakota, and entities that contain Columbia
Female
Male
10x5x0x5x10xFM#North DeweyMilbankEast ToddRedfieldWatertownN Sioux CityWinnerWest YanktonHot SpringsFort PierreHuronChamberlainAberdeenPierreCntrl PenningtonMt RushmoreBrownBelle FourcheSpearfishSW MeadeAberdeen AreaVermillionSplit RockColumbiaColumbiaBrookingsSioux FallsMitchellTract 952000CantonBig SiouxSturgisZIP 57433Sioux FallsSouth DakotaMobridgeMidwestWest North CentralUnited StatesRapid CityBox ElderWest ToddBrandonN LawrenceTeaYanktonWest CusterMadisonGroton 06-6SpringdaleLeadDell RapidsHarrisburgHartfordSissetonWest HughesW Oglala LakotaBox Elder-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.948%0.95%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.941%0.94%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.877%0.88%3-1.000000x-1.000000x5.200946x5.200946x5.20x0.909%0.91%4.728%4.73%4-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%5-1.000000x-1.000000x4.817647x4.817647x4.82x0.488%0.49%2.353%2.35%6-1.000000x-1.000000x4.450526x4.450526x4.45x1.514%1.51%6.737%6.74%7-1.000000x-1.000000x4.361213x4.361213x4.36x1.231%1.23%5.368%5.37%8-1.000000x-1.000000x3.688238x3.688238x3.69x1.390%1.39%5.126%5.13%9-1.000000x-1.000000x3.685890x3.685890x3.69x1.731%1.73%6.380%6.38%10-1.000000x-1.000000x3.460356x3.460356x3.46x0.199%0.20%0.688%0.69%11-1.000000x-1.000000x3.254193x3.254193x3.25x1.422%1.42%4.629%4.63%12-1.000000x-1.000000x3.026479x3.026479x3.03x1.147%1.15%3.472%3.47%13-1.000000x-1.000000x2.914741x2.914741x2.91x1.681%1.68%4.899%4.90%14-1.000000x-1.000000x2.553567x2.553567x2.55x1.010%1.01%2.578%2.58%15-1.000000x-1.000000x2.366289x2.366289x2.37x3.793%3.79%8.975%8.98%16-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%-1.000000x-1.000000x2.287156x2.287156x2.29x0.392%0.39%0.897%0.90%17-1.000000x-1.000000x2.199787x2.199787x2.20x2.499%2.50%5.498%5.50%18-1.000000x-1.000000x2.167794x2.167794x2.17x1.415%1.42%3.068%3.07%19-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x2.132400x2.132400x2.13x8.744%8.74%18.645%18.6%20-1.000000x-1.000000x2.066050x2.066050x2.07x3.935%3.93%8.129%8.13%21-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%-1.000000x-1.000000x2.048101x2.048101x2.05x4.523%4.52%9.264%9.26%22-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%23-1.000000x-1.000000x1.946378x1.946378x1.95x0.954%0.95%1.858%1.86%24-1.000000x-1.000000x1.827295x1.827295x1.83x0.793%0.79%1.449%1.45%-1.000000x-1.000000x1.766838x1.766838x1.77x0.919%0.92%1.624%1.62%25-1.000000x-1.000000x1.738512x1.738512x1.74x7.795%7.80%13.553%13.6%26-1.000000x-1.000000x1.728895x1.728895x1.73x0.919%0.92%1.588%1.59%27-1.000000x-1.000000x1.677966x1.677966x1.68x1.010%1.01%1.695%1.69%-1.000000x-1.000000x1.673245x1.673245x1.67x4.505%4.51%7.538%7.54%28-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.619067x1.619067x1.62x2.729%2.73%4.419%4.42%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-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504887x1.504887x1.50x2.347%2.35%3.532%3.53%30-1.000000x-1.000000x1.487688x1.487688x1.49x1.431%1.43%2.129%2.13%31-1.000000x-1.000000x1.456573x1.456573x1.46x0.967%0.97%1.408%1.41%32-1.000000x-1.000000x1.082861x1.082861x1.08x1.929%1.93%2.089%2.09%33-1.000000x-1.000000x1.054544x1.054544x1.05x2.648%2.65%2.793%2.79%34-1.129941x-1.129941x1.13x1.000000x1.000000x3.587%3.59%3.175%3.17%35-1.144745x-1.144745x1.14x1.000000x1.000000x3.216%3.22%2.810%2.81%36-1.250139x-1.250139x1.25x1.000000x1.000000x2.841%2.84%2.273%2.27%37-1.308470x-1.308470x1.31x1.000000x1.000000x4.271%4.27%3.264%3.26%38-1.323018x-1.323018x1.32x1.000000x1.000000x2.002%2.00%1.513%1.51%-1.550008x-1.550008x1.55x1.000000x1.000000x7.342%7.34%4.737%4.74%39-1.629286x-1.629286x1.63x1.000000x1.000000x1.557%1.56%0.956%0.96%40-1.770327x-1.770327x1.77x1.000000x1.000000x0.922%0.92%0.521%0.52%41-2.097274x-2.097274x2.10x1.000000x1.000000x4.647%4.65%2.216%2.22%42-2.313817x-2.313817x2.31x1.000000x1.000000x3.044%3.04%1.316%1.32%43-2.452703x-2.452703x2.45x1.000000x1.000000x2.477%2.48%1.010%1.01%44-5.513031x-5.513031x5.51x1.000000x1.000000x8.089%8.09%1.467%1.47%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.759%0.76%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.580%0.58%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia, selected other county subdivisions in the Midwest, and entities that contain Columbia
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralSouth DakotaCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineAberdeen Metro AreaAberdeen AreaColumbiaColumbiaBrown CountyBrownSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsGroton Area School District 06-6Groton 06-6York TownshipMilton TownshipMiltonMadisonZIP Code 57433ZIP 57433952000Tract 952000Downers Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.084172%8.084172%8.1%2,2828.064516%8.064516%8.1%108.064516%8.064516%8.1%107.759567%7.759567%7.8%1,9797.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.646700%5.646700%5.6%1485.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.608295%4.608295%4.6%104.133796%4.133796%4.1%1314.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia, selected other county subdivisions in the Midwest, and entities that contain Columbia
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralZIP Code 57433ZIP 57433MidwestWichitaBrown CountyBrownSterling HeightsSterling HtsSouth DakotaAberdeen Metro AreaAberdeen AreaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthGroton Area School District 06-6Groton 06-6Milwaukee952000Tract 952000ColumbiaColumbiaRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M29.953917%29.953917%30.0%6528.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.925031%27.925031%27.9%7,12227.532180%27.532180%27.5%25,60325.6k3127.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74727.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.693247%23.693247%23.7%62123.517740%23.517740%23.5%85,81285.8k3623.288104%23.288104%23.3%73821.774194%21.774194%21.8%2721.774194%21.774194%21.8%2721.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia, selected other county subdivisions in the Midwest, and entities that contain Columbia
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrBrown CountyBrownSchaumburg TownshipSchaumburgWichitaSouth DakotaAberdeen Metro AreaAberdeen AreaColumbiaColumbiaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandGroton Area School District 06-6Groton 06-6ToledoNorth TownshipNSterling HeightsSterling HtsKansas CityZIP Code 57433ZIP 57433DetroitDaytonWayne TownshipWayne952000Tract 952000WarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.587829%2.587829%2.6%6602.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%7002.419355%2.419355%2.4%32.419355%2.419355%2.4%32.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.755055%1.755055%1.8%461.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.382488%1.382488%1.4%31.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.136005%1.136005%1.1%361.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in the Midwest, and entities that contain Columbia
Female
Male
1x0x1x2xFM#Groton 06-6Tract 952000ColumbiaColumbiaAberdeen AreaBrownZIP 57433South DakotaCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.947806x2.947806x2.95x2.848%2.85%8.396%8.40%-1.000000x-1.000000x1.632902x1.632902x1.63x3.106%3.11%5.072%5.07%-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%-1.000000x-1.000000x1.258475x1.258475x1.26x4.040%4.04%5.085%5.08%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in the Midwest, and entities that contain Columbia
Female
Male
1x0x1x2xFM#BrownAberdeen AreaRockfordNColumbiaColumbiaDaytonSioux FallsCapitalLawrenceDowners GrvAkronTract 952000LisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheZIP 57433OmahaSouth DakotaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoGroton 06-6Thornton-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.827295x1.827295x1.83x0.793%0.79%1.449%1.45%-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.677966x1.677966x1.68x1.010%1.01%1.695%1.69%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.323018x-1.323018x1.32x1.000000x1.000000x2.002%2.00%1.513%1.51%-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbia, selected other county subdivisions in the United States, and entities that contain Columbia
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleSouth DakotaNortheast TarrantNE TarrantAberdeen Metro AreaAberdeen AreaColumbiaColumbiaBrown CountyBrownPlanoGroton Area School District 06-6Groton 06-6Seattle EastZIP Code 57433ZIP 57433952000Tract 95200028.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.813537%8.813537%8.8%49,05549.1k8.418271%8.418271%8.4%31,44331.4k488.084172%8.084172%8.1%2,2828.064516%8.064516%8.1%108.064516%8.064516%8.1%107.759567%7.759567%7.8%1,9795.714681%5.714681%5.7%20,64420.6k495.646700%5.646700%5.6%1484.913852%4.913852%4.9%20,32620.3k504.608295%4.608295%4.6%104.133796%4.133796%4.1%131
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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbia, selected other county subdivisions in the United States, and entities that contain Columbia
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralZIP Code 57433ZIP 57433BaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoBrown CountyBrownSouth DakotaAberdeen Metro AreaAberdeen AreaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasGroton Area School District 06-6Groton 06-6Milwaukee952000Tract 952000FresnoColumbiaColumbiaLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.953917%29.953917%30.0%6529.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.925031%27.925031%27.9%7,12227.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,74727.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.693247%23.693247%23.7%62123.517740%23.517740%23.5%85,81285.8k4323.288104%23.288104%23.3%73822.486319%22.486319%22.5%94,05694.1k4421.774194%21.774194%21.8%2721.774194%21.774194%21.8%2721.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbia, selected other county subdivisions in the United States, and entities that contain Columbia
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantBrown CountyBrownSouth DakotaEast San Gabriel ValleyE San Gabriel VlyAberdeen Metro AreaAberdeen AreaColumbiaColumbiaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlGroton Area School District 06-6Groton 06-6El PasoSouthwest DallasSW DallasBronxZIP Code 57433ZIP 57433Detroit952000Tract 95200012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.587829%2.587829%2.6%6602.514252%2.514252%2.5%13,99414.0k2.484535%2.484535%2.5%15,54715.5k402.479807%2.479807%2.5%7002.419355%2.419355%2.4%32.419355%2.419355%2.4%32.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.755055%1.755055%1.8%461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.382488%1.382488%1.4%31.318660%1.318660%1.3%5,693501.136005%1.136005%1.1%36
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#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in the United States, and entities that contain Columbia
Female
Male
1x0x1x2xFM#Groton 06-6Tract 952000ColumbiaColumbiaAberdeen Area1, CharlotteBrownZIP 57433South DakotaDetroitBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.947806x2.947806x2.95x2.848%2.85%8.396%8.40%-1.000000x-1.000000x1.632902x1.632902x1.63x3.106%3.11%5.072%5.07%-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%-1.000000x-1.000000x1.549180x1.549180x1.55x6.349%6.35%9.836%9.84%-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%-1.000000x-1.000000x1.258475x1.258475x1.26x4.040%4.04%5.085%5.08%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Columbia, selected other county subdivisions in the United States, and entities that contain Columbia
Female
Male
1x0x1x2xFM#BrownAberdeen AreaEl PasoColumbiaColumbiaSalt Lk CityTract 952000PlanoTulsaAlbuquerqueNE DallasFort WorthZIP 57433OrlandoPhoenixSouth DakotaTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitGroton 06-6-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%-1.000000x-1.000000x2.065574x2.065574x2.07x1.587%1.59%3.279%3.28%-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.827295x1.827295x1.83x0.793%0.79%1.449%1.45%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.677966x1.677966x1.68x1.010%1.01%1.695%1.69%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.323018x-1.323018x1.32x1.000000x1.000000x2.002%2.00%1.513%1.51%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
South Dakota
County:
Brown
Metro Area:
Aberdeen Area
City:
Columbia
ZIP Code:
57433
Unified School District:
Groton 06-6
Congressional District:
SD-At Large
State Senate District:
SD-2
State House District:
SD-2
Neighboring Townships:
Columbia
Nearby Townships:
Bath, Brainard, Cambria, Garland, Ordway, Prairiewood, Putney, Shelby, Westport