Educational Attainment in Becker County, Minnesota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Minnesota and Becker County
Becker County
Minnesota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.874754%45.216942%35.874754%35.9%8,19256.549157%47.407004%56.549157%56.5%12,91312.9k7.576089%7.376055%7.576089%7.6%1,730
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 Minnesota at large.
Scope: population of Minnesota and Becker County
-20%-10%-0%+10%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-20.660814%-20.660814%-20.7%35.875%35.9%45.217%45.2%19.284394%19.284394%+19.3%56.549%56.5%47.407%47.4%2.711949%2.711949%+2.7%7.576%7.58%7.376%7.38%
% percentage with given level in Becker County
ref. percentage with given level in Minnesota
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 Minnesota and Becker County
Becker County
Minnesota
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.068535%1.366389%1.068535%1.1%2441.396978%2.092359%1.396978%1.4%3194.716444%8.000226%4.716444%4.7%1,07716.544778%22.781635%16.544778%16.5%3,77812.148018%10.976332%12.148018%12.1%2,77423.783665%21.730308%23.783665%23.8%5,43132.765492%25.676696%32.765492%32.8%7,4824.891614%4.319913%4.891614%4.9%1,1172.237793%1.957001%2.237793%2.2%5110.446683%1.099141%0.446683%0.4%102
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 Minnesota at large.
Scope: population of Minnesota and Becker County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-21.798619%-21.798619%-21.8%1.069%1.07%1.366%1.37%-33.234299%-33.234299%-33.2%1.397%1.40%2.092%2.09%-41.046115%-41.046115%-41.0%4.716%4.72%8.000%8.00%-27.376688%-27.376688%-27.4%16.545%16.5%22.782%22.8%10.674659%10.674659%+10.7%12.148%12.1%10.976%11.0%9.449279%9.449279%+9.4%23.784%23.8%21.730%21.7%27.607898%27.607898%+27.6%32.765%32.8%25.677%25.7%13.234082%13.234082%+13.2%4.892%4.89%4.320%4.32%14.348068%14.348068%+14.3%2.238%2.24%1.957%1.96%-59.360728%-59.360728%-59.4%0.447%0.45%1.099%1.10%
% percentage with given level in Becker County
ref. percentage with given level in Minnesota
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 Minnesota and Becker County
More Females More Males
Minnesota
Becker County
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.887529%-7.094129%-12.887529%13%38.042%38.0%33.699%33.7%2.199163%4.644972%2.199163%2%55.935%55.9%57.165%57.2%51.685198%13.638813%51.685198%52%6.023%6.02%9.136%9.14%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Minnesota and Becker County
More Females More Males
Minnesota
Becker County
0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None63.006789%46.084775%63.006789%63%0.813%0.81%1.325%1.33%98.913280%49.436197%98.913280%99%0.935%0.94%1.860%1.86%-47.573898%-22.131208%-47.573898%48%5.621%5.62%3.809%3.81%-7.728838%-6.225334%-7.728838%8%17.159%17.2%15.928%15.9%-25.400546%-14.436796%-25.400546%25%13.514%13.5%10.777%10.8%-6.789267%-1.393757%-6.789267%7%24.563%24.6%23.001%23.0%8.898686%10.026271%8.898686%9%31.372%31.4%34.164%34.2%36.689899%29.029778%36.689899%37%4.135%4.13%5.652%5.65%83.040444%5.463227%83.040444%83%1.582%1.58%2.896%2.90%-26.769029%92.184542%92.184542%92%0.306%0.31%0.588%0.59%
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 Minnesota and Becker County
Becker County
Minnesota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3413.802817%15.674649%13.802817%13.8%8826,39016.089613%21.754200%16.089613%16.1%1,5019,32921.714608%26.172525%21.714608%21.7%7703,54617.507003%29.184434%17.507003%17.5%6253,570
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 Minnesota at large.
Scope: population of Minnesota and Becker County
40%30%20%10%0%%ref.65+45-6435-4425-34-11.941781%-11.941781%11.9%13.803%13.8%15.675%15.7%-26.039048%-26.039048%26.0%16.090%16.1%21.754%21.8%-17.032811%-17.032811%17.0%21.715%21.7%26.173%26.2%-40.012533%-40.012533%40.0%17.507%17.5%29.184%29.2%
% percentage in Becker County with a Bachelor's degree
ref percentage in Minnesota 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 Minnesota and Becker County
More Females More Males
Minnesota
Becker County
30%20%10%0%10%20%FM65+45-6435-4425-347.477901%20.814223%7.477901%7.5%13.331%13.3%14.328%14.3%-19.558288%-6.871300%-19.558288%19.6%17.559%17.6%14.687%14.7%-16.463598%9.977594%9.977594%10.0%20.645%20.6%22.705%22.7%-33.690396%-19.935695%-33.690396%33.7%19.989%20.0%14.952%15.0%
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 Minnesota and Becker County
Becker County
Minnesota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$60,910.000000$68,001.000000$60,910.000000$60.9k1,6407.182%7.18%$45,821.000000$52,072.000000$45,821.000000$45.8k3,77816.545%16.5%$31,862.000000$36,939.000000$31,862.000000$31.9k8,20535.932%35.9%$27,009.000000$31,011.000000$27,009.000000$27.0k7,48232.765%32.8%$29,148.000000$22,379.000000$29,148.000000$29.1k1,7307.576%7.58%$33,332.000000$40,804.000000$33,332.000000$33.3k22,83522.8k100.000%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 Minnesota and Becker County
Female Male
Minnesota
Becker County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-54,868.000000$-60,699.000000$-54,868.000000$54.9k$54,868.000000$14,067.000000$60,699.000000$20,223.000000$68,935.000000$68.9k843797$-37,394.000000$-43,209.000000$-37,394.000000$37.4k$37,394.000000$17,606.000000$43,209.000000$20,301.000000$55,000.000000$55.0k1,9631,815$-26,051.000000$-30,960.000000$-26,051.000000$26.1k$26,051.000000$14,771.000000$30,960.000000$13,760.000000$40,822.000000$40.8k4,3563,849$-20,890.000000$-24,260.000000$-20,890.000000$20.9k$20,890.000000$11,445.000000$24,260.000000$12,346.000000$32,335.000000$32.3k3,5893,893$-20,238.000000$-17,131.000000$-20,238.000000$20.2k$20,238.000000$12,446.000000$17,131.000000$9,376.000000$32,684.000000$32.7k6891,041$-27,079.000000$-34,315.000000$-27,079.000000$27.1k$27,079.000000$13,747.000000$34,315.000000$12,949.000000$40,826.000000$40.8k11,44011.4k11,39511.4k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Minnesota and Becker County
Becker County
Minnesota
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%35.183299%0100.000000%56.313646%100.000000%100.0%40.000000%0.000000%0.0%8.503055%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Minnesota and Becker County
Becker County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.096391%87.405591%85.096391%85.1%3,44379.610124%81.736852%79.610124%79.6%5,06474.583904%74.314958%74.583904%74.6%3,80956.068743%58.425001%56.068743%56.1%522
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Minnesota and Becker County
Female Male
Minnesota
Becker County
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-5.317291%-4.270697%-5.317291%5.3%5.317291%2.739397%4.270697%1.199676%8.056688%8.1%830548-5.882353%-15.996843%-5.794594%-5.882353%5.9%5.882353%9.269162%15.996843%15.151515%15.2%102-19.512195%-1.916376%-17.242336%-6.032412%-21.428571%21.4%19.512195%17.242336%19.512195%19.5%815-8.571429%-32.943822%-8.571429%8.6%8.571429%12.481203%32.943822%5.005995%21.052632%21.1%249-12.879581%-21.417113%-12.879581%12.9%12.879581%5.986286%21.417113%5.201726%18.865867%18.9%173123
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Minnesota and Becker County
Female Male
Minnesota
Becker County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-24.199185%-1.242306%-34.661162%-1.797325%-25.441490%25.4%24.199185%34.661162%24.199185%24.2%2,4932,622-1.515152%-33.778966%-18.524426%-35.294118%35.3%1.515152%18.524426%2.990804%1.515152%1.5%112-18.571429%-41.369118%-18.571429%18.6%18.571429%22.891986%41.369118%3.173947%41.463415%41.5%1713-0.000000%-15.584176%-2.395113%0.000000%0.0%0.000000%14.912281%15.584176%14.912281%14.9%170-10.905125%-5.744089%-17.924863%-3.708263%-16.649215%16.6%10.905125%17.924863%10.905125%10.9%100159
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 Becker County

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

Percentage of the population 25 years and older with given highest level of educational attainment
18%28%37%46%55%65%

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

Percentage of the population 25 years and older with given highest level of educational attainment
33%40%48%55%63%70%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%5.4%9.2%13.0%16.9%20.7%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.3%2.7%4.0%5.3%6.7%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.9%2.8%3.8%4.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.0%6.0%9.1%12.1%15.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4%11%17%22%28%35%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.4%10.9%15.3%19.7%24.1%28.6%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
7%14%21%27%34%41%

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

Percentage of the population 25 years and older with given highest level of educational attainment
22%28%33%39%44%50%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%5.0%8.5%12.0%15.5%19.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.3%4.5%6.8%9.1%11.4%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.0%1.5%2.0%2.6%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Becker County

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

Percentage of the population 25 years and older with given highest level of educational attainment
26%32%37%43%48%54%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
42.0%46.2%50.4%54.5%58.7%62.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.1%5.5%6.8%8.1%9.4%10.8%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.2%1.8%2.4%3.0%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.5%1.2%1.8%2.5%3.2%3.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%3.2%4.8%6.4%7.9%9.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.9%14.2%17.5%20.8%24.2%27.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.3%10.5%11.7%12.9%14.1%15.4%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
21.2%22.6%24.0%25.4%26.8%28.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
19.8%23.9%28.0%32.1%36.2%40.3%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
2.4%3.6%4.7%5.8%6.9%8.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.9%1.8%2.7%3.5%4.4%5.3%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.08%0.32%0.55%0.79%1.02%1.26%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Becker County

There are 11 places that are fully or partially contained within Becker County (10 fully and 1 partially). This section compares all 11 of those to each other, Becker County, and other entities that contain or substantially overlap with Becker County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Becker County, selected places in Becker County, and entities that contain Becker County
0%10%20%30%Count#Elbow LakeWhite EarthLake ParkCallawayFrazeeUnited States of AmericaUnited StatesMidwestOsageWest North CentralPine PointBecker CountyBeckerMinnesotaDetroit LakesWolf LakeOgemaAudubon36.734694%36.734694%36.7%18120.743034%20.743034%20.7%67215.811088%15.811088%15.8%77314.843750%14.843750%14.8%19414.776632%14.776632%14.8%129513.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.589041%9.589041%9.6%2169.174633%9.174633%9.2%1,278,0511.28M7.894737%7.894737%7.9%1577.576089%7.576089%7.6%1,7307.376055%7.376055%7.4%270,121270k6.564268%6.564268%6.6%40686.250000%6.250000%6.3%196.250000%6.250000%6.3%6104.761905%4.761905%4.8%1611
Count number of people in category
# rank of place out of 11 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Becker County, selected places in Becker County, and entities that contain Becker County
0%10%20%30%Count#MinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestDetroit LakesPine PointBecker CountyBeckerOgemaLake ParkOsageFrazeeWolf LakeAudubonWhite EarthCallawayElbow Lake34.240609%34.240609%34.2%1,253,9371.25M30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.876314%28.876314%28.9%1,786124.210526%24.210526%24.2%46223.726735%23.726735%23.7%5,41816.666667%16.666667%16.7%16314.989733%14.989733%15.0%73414.155251%14.155251%14.2%31513.745704%13.745704%13.7%120612.500000%12.500000%12.5%2711.904762%11.904762%11.9%4087.120743%7.120743%7.1%2397.031250%7.031250%7.0%9102.040816%2.040816%2.0%111
Count number of people in category
# rank of place out of 11 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Becker County, selected places in Becker County, and entities that contain Becker County
0%1%2%3%4%Count#Detroit LakesMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestBecker CountyBeckerOsageOgemaWhite EarthLake ParkFrazeeAudubonPine PointCallawayElbow LakeWolf Lake4.333064%4.333064%4.3%26813.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.465513%2.465513%2.5%5631.826484%1.826484%1.8%421.041667%1.041667%1.0%130.928793%0.928793%0.9%340.410678%0.410678%0.4%250.343643%0.343643%0.3%360.000000%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%011
Count number of people in category
# rank of place out of 11 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Becker County, selected places in Becker County, and entities that contain Becker County
Female
Male
0x5x10xFM#Wolf LakeOgemaElbow LakePine PointOsageDetroit LakesBeckerLake ParkWhite EarthFrazeeCallawayWest North CentralMinnesotaMidwestUnited StatesAudubon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.111%11.1%1-1.000000x-1.000000x3.333333x3.333333x3.33x3.333%3.33%11.111%11.1%2-1.000000x-1.000000x2.413793x2.413793x2.41x20.000%20.0%48.276%48.3%3-1.000000x-1.000000x2.300000x2.300000x2.30x5.217%5.22%12.000%12.0%4-1.000000x-1.000000x2.018349x2.018349x2.02x6.364%6.36%12.844%12.8%5-1.000000x-1.000000x1.969880x1.969880x1.97x4.598%4.60%9.058%9.06%6-1.000000x-1.000000x1.516852x1.516852x1.52x6.023%6.02%9.136%9.14%-1.000000x-1.000000x1.421427x1.421427x1.42x12.889%12.9%18.321%18.3%7-1.000000x-1.000000x1.385460x1.385460x1.39x17.470%17.5%24.204%24.2%8-1.000000x-1.000000x1.165553x1.165553x1.17x13.687%13.7%15.952%16.0%9-1.000000x-1.000000x1.146384x1.146384x1.15x13.846%13.8%15.873%15.9%10-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-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%-1.594286x-1.594286x1.59x1.000000x1.000000x6.000%6.00%3.763%3.76%11
F percentage of females in category
M percentage of males in category
# rank of place out of 11 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Becker County, selected places in Becker County, and entities that contain Becker County
Female
Male
0x5x10xFM#FrazeeLake ParkWhite EarthOsageOgemaBeckerDetroit LakesMidwestWest North CentralUnited StatesMinnesota-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.714%0.71%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.763%0.76%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.911%1.91%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.670%3.67%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.778%2.78%5-1.000000x-1.000000x1.822168x1.822168x1.82x1.748%1.75%3.186%3.19%-1.000000x-1.000000x1.712994x1.712994x1.71x3.297%3.30%5.647%5.65%6-1.000000x-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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%
F percentage of females in category
M percentage of males in category
# rank of place out of 6 by male-to-female sex ratio

Educational Attainment by County Subdivision in Becker County

There are 44 county subdivisions in Becker County. This section compares all 44 of those to each other, Becker County, and other entities that contain or substantially overlap with Becker County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Becker County, selected county subdivisions in Becker County, and entities that contain Becker County
0%5%10%15%20%Count#Atlanta TownshipAtlantaLake ParkWhite Earth TownshipWhite EarthCallawayToad Lake TownshipToad LkFrazeeEvergreen TownshipEvergreenWalworth TownshipWalworthUnited States of AmericaUnited StatesMaple Grove TownshipMaple GrvEagle View TownshipEagle VwRuneberg TownshipRunebergLake Park TownshipLk PkSpruce Grove TownshipSpruce GrvMidwestRound Lake TownshipRound LkShell Lake TownshipShell LkCallaway TownshipCallawaySilver Leaf TownshipSilver LeafAudubon TownshipAudubonWest North CentralWolf Lake TownshipWolf LkRiceville TownshipRicevilleSugar Bush TownshipSugar BushSavannah TownshipSavannahPine Point TownshipPne PtGreen Valley TownshipGrn VlyHeight of Land TownshipHeight of LandBecker CountyBeckerMinnesotaBurlington TownshipBurlingtonDetroit LakesErie TownshipOsage TownshipOsageWolf LakeOgemaDetroit TownshipDetroitHolmesville TownshipHolmesvilleCuba TownshipCormorant TownshipCormorantRichwood TownshipRichwoodAudubonCarsonville TownshipCarsonvilleTwo Inlets TownshipTwo InletsLake Eunice TownshipLk EuniceLake View TownshipLk VwSpring Creek TownshipSpg CrkForest TownshipFrstHamden TownshipHamden20.689655%20.689655%20.7%12115.811088%15.811088%15.8%77215.677966%15.677966%15.7%74314.843750%14.843750%14.8%19414.824798%14.824798%14.8%55514.776632%14.776632%14.8%129614.646465%14.646465%14.6%29713.207547%13.207547%13.2%7813.020590%13.020590%13.0%27,818,38027.8M12.996390%12.996390%13.0%36912.686567%12.686567%12.7%171011.650485%11.650485%11.7%361110.818713%10.818713%10.8%371210.714286%10.714286%10.7%181310.244520%10.244520%10.2%4,641,8354.64M10.101010%10.101010%10.1%101410.000000%10.000000%10.0%22159.895833%9.895833%9.9%19169.695291%9.695291%9.7%35179.452736%9.452736%9.5%38189.174633%9.174633%9.2%1,278,0511.28M8.633094%8.633094%8.6%12198.510638%8.510638%8.5%4208.333333%8.333333%8.3%29218.035714%8.035714%8.0%9227.725322%7.725322%7.7%18237.692308%7.692308%7.7%19247.643312%7.643312%7.6%36257.576089%7.576089%7.6%1,7307.376055%7.376055%7.4%270,121270k7.008885%7.008885%7.0%71266.564268%6.564268%6.6%406276.449106%6.449106%6.4%83286.445672%6.445672%6.4%35296.250000%6.250000%6.3%1306.250000%6.250000%6.3%6315.997392%5.997392%6.0%92325.778894%5.778894%5.8%23335.555556%5.555556%5.6%9345.189189%5.189189%5.2%48354.796163%4.796163%4.8%20364.761905%4.761905%4.8%16374.545455%4.545455%4.5%7384.444444%4.444444%4.4%10394.059041%4.059041%4.1%44403.857143%3.857143%3.9%54413.571429%3.571429%3.6%3422.830189%2.830189%2.8%3431.550388%1.550388%1.6%244
Count number of people in category
# rank of county subdivision out of 44 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Becker County, selected county subdivisions in Becker County, and entities that contain Becker County
0%10%20%30%40%50%Count#Forest TownshipFrstTwo Inlets TownshipTwo InletsRound Lake TownshipRound LkLake View TownshipLk VwCormorant TownshipCormorantMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestDetroit LakesCuba TownshipAudubon TownshipAudubonLake Eunice TownshipLk EuniceBurlington TownshipBurlingtonLake Park TownshipLk PkDetroit TownshipDetroitSavannah TownshipSavannahBecker CountyBeckerRichwood TownshipRichwoodHolmesville TownshipHolmesvillePine Point TownshipPne PtRiceville TownshipRicevilleErie TownshipCarsonville TownshipCarsonvilleSugar Bush TownshipSugar BushToad Lake TownshipToad LkHamden TownshipHamdenOgemaMaple Grove TownshipMaple GrvSpruce Grove TownshipSpruce GrvHeight of Land TownshipHeight of LandAtlanta TownshipAtlantaWalworth TownshipWalworthShell Lake TownshipShell LkLake ParkEagle View TownshipEagle VwSpring Creek TownshipSpg CrkOsage TownshipOsageFrazeeCallaway TownshipCallawayWolf LakeGreen Valley TownshipGrn VlyAudubonEvergreen TownshipEvergreenSilver Leaf TownshipSilver LeafRuneberg TownshipRunebergWhite Earth TownshipWhite EarthCallawayWolf Lake TownshipWolf Lk52.830189%52.830189%52.8%56143.111111%43.111111%43.1%97239.393939%39.393939%39.4%39336.142857%36.142857%36.1%506435.567568%35.567568%35.6%329534.240609%34.240609%34.2%1,253,9371.25M30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.876314%28.876314%28.9%1,786628.395062%28.395062%28.4%46726.616915%26.616915%26.6%107825.830258%25.830258%25.8%280925.370188%25.370188%25.4%2571024.853801%24.853801%24.9%851124.185137%24.185137%24.2%3711224.107143%24.107143%24.1%271323.726735%23.726735%23.7%5,41822.781775%22.781775%22.8%951422.613065%22.613065%22.6%901519.742489%19.742489%19.7%461619.148936%19.148936%19.1%91719.114219%19.114219%19.1%2461818.181818%18.181818%18.2%281918.103448%18.103448%18.1%632018.059299%18.059299%18.1%672117.829457%17.829457%17.8%232216.666667%16.666667%16.7%162316.245487%16.245487%16.2%452416.071429%16.071429%16.1%272515.711253%15.711253%15.7%742615.517241%15.517241%15.5%92715.094340%15.094340%15.1%82815.000000%15.000000%15.0%332914.989733%14.989733%15.0%733014.925373%14.925373%14.9%203114.285714%14.285714%14.3%123214.180479%14.180479%14.2%773313.745704%13.745704%13.7%1203412.500000%12.500000%12.5%243512.500000%12.500000%12.5%23612.145749%12.145749%12.1%303711.904762%11.904762%11.9%403811.111111%11.111111%11.1%223911.080332%11.080332%11.1%404010.679612%10.679612%10.7%33418.898305%8.898305%8.9%42427.031250%7.031250%7.0%9436.474820%6.474820%6.5%944
Count number of people in category
# rank of county subdivision out of 44 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Becker County, selected county subdivisions in Becker County, and entities that contain Becker County
0%5%10%Count#Forest TownshipFrstTwo Inlets TownshipTwo InletsSavannah TownshipSavannahRound Lake TownshipRound LkCuba TownshipDetroit LakesLake Eunice TownshipLk EuniceHolmesville TownshipHolmesvilleCormorant TownshipCormorantMinnesotaAtlanta TownshipAtlantaUnited States of AmericaUnited StatesLake View TownshipLk VwWest North CentralMidwestBecker CountyBeckerCallaway TownshipCallawayBurlington TownshipBurlingtonSilver Leaf TownshipSilver LeafMaple Grove TownshipMaple GrvToad Lake TownshipToad LkHamden TownshipHamdenEvergreen TownshipEvergreenDetroit TownshipDetroitRichwood TownshipRichwoodOsage TownshipOsageOgemaErie TownshipShell Lake TownshipShell LkAudubon TownshipAudubonEagle View TownshipEagle VwWhite Earth TownshipWhite EarthSpruce Grove TownshipSpruce GrvSugar Bush TownshipSugar BushLake ParkFrazeeRuneberg TownshipRunebergLake Park TownshipLk PkHeight of Land TownshipHeight of LandAudubonPine Point TownshipPne PtGreen Valley TownshipGrn VlyWolf Lake TownshipWolf LkCallawayCarsonville TownshipCarsonvilleSpring Creek TownshipSpg CrkWalworth TownshipWalworthRiceville TownshipRicevilleWolf Lake11.320755%11.320755%11.3%1217.111111%7.111111%7.1%1625.357143%5.357143%5.4%635.050505%5.050505%5.1%544.938272%4.938272%4.9%854.333064%4.333064%4.3%26864.151292%4.151292%4.2%4573.768844%3.768844%3.8%1583.459459%3.459459%3.5%3293.458748%3.458748%3.5%126,664127k3.448276%3.448276%3.4%2103.336158%3.336158%3.3%7,127,6737.13M3.071429%3.071429%3.1%43112.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.465513%2.465513%2.5%5632.083333%2.083333%2.1%4122.073050%2.073050%2.1%21131.939058%1.939058%1.9%7141.805054%1.805054%1.8%5151.617251%1.617251%1.6%6161.550388%1.550388%1.6%2171.515152%1.515152%1.5%3181.303781%1.303781%1.3%20191.199041%1.199041%1.2%5201.104972%1.104972%1.1%6211.041667%1.041667%1.0%1220.932401%0.932401%0.9%12230.909091%0.909091%0.9%2240.746269%0.746269%0.7%3250.746269%0.746269%0.7%1260.635593%0.635593%0.6%3270.595238%0.595238%0.6%1280.574713%0.574713%0.6%2290.410678%0.410678%0.4%2300.343643%0.343643%0.3%3310.323625%0.323625%0.3%1320.292398%0.292398%0.3%1330.000000%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%044
Count number of people in category
# rank of county subdivision out of 44 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Becker County, selected county subdivisions in Becker County, and entities that contain Becker County
Female
Male
0x5x10xFM#CarsonvilleHamdenRicevilleWolf LakeGrn VlyCormorantOgemaEagle VwRunebergAudubonCallawayOsageHolmesvilleEvergreenDetroit LakesSilver LeafLk VwSpruce GrvPne PtHeight of LandBeckerRound LkWhite EarthSpg CrkLake ParkMaple GrvToad LkLk PkSugar BushSavannahWalworthBurlingtonFrazeeCallawayWest North CentralMinnesotaMidwestWolf LkUnited StatesCuba TownshipDetroitErie TownshipLk EuniceShell LkRichwoodAudubonTwo InletsAtlantaFrst-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.333%8.33%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.817%2.82%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.385%15.4%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.111%11.1%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.935%0.93%12.857%12.9%5-1.000000x-1.000000x3.341889x3.341889x3.34x2.386%2.39%7.974%7.97%6-1.000000x-1.000000x3.333333x3.333333x3.33x3.333%3.33%11.111%11.1%7-1.000000x-1.000000x2.715753x2.715753x2.72x6.557%6.56%17.808%17.8%8-1.000000x-1.000000x2.421053x2.421053x2.42x6.522%6.52%15.789%15.8%9-1.000000x-1.000000x2.289336x2.289336x2.29x5.670%5.67%12.981%13.0%10-1.000000x-1.000000x2.166667x2.166667x2.17x6.250%6.25%13.542%13.5%11-1.000000x-1.000000x2.157842x2.157842x2.16x4.074%4.07%8.791%8.79%12-1.000000x-1.000000x2.087912x2.087912x2.09x3.684%3.68%7.692%7.69%13-1.000000x-1.000000x2.057432x2.057432x2.06x9.195%9.20%18.919%18.9%14-1.000000x-1.000000x1.969880x1.969880x1.97x4.598%4.60%9.058%9.06%15-1.000000x-1.000000x1.864299x1.864299x1.86x6.742%6.74%12.568%12.6%16-1.000000x-1.000000x1.856749x1.856749x1.86x2.671%2.67%4.959%4.96%17-1.000000x-1.000000x1.818182x1.818182x1.82x7.500%7.50%13.636%13.6%18-1.000000x-1.000000x1.633663x1.633663x1.63x6.061%6.06%9.901%9.90%19-1.000000x-1.000000x1.564000x1.564000x1.56x5.882%5.88%9.200%9.20%20-1.000000x-1.000000x1.516852x1.516852x1.52x6.023%6.02%9.136%9.14%-1.000000x-1.000000x1.453552x1.453552x1.45x7.895%7.89%11.475%11.5%21-1.000000x-1.000000x1.447144x1.447144x1.45x12.863%12.9%18.615%18.6%22-1.000000x-1.000000x1.428571x1.428571x1.43x2.857%2.86%4.082%4.08%23-1.000000x-1.000000x1.421427x1.421427x1.42x12.889%12.9%18.321%18.3%24-1.000000x-1.000000x1.372288x1.372288x1.37x10.744%10.7%14.744%14.7%25-1.000000x-1.000000x1.371394x1.371394x1.37x12.270%12.3%16.827%16.8%26-1.000000x-1.000000x1.327941x1.327941x1.33x9.302%9.30%12.353%12.4%27-1.000000x-1.000000x1.314178x1.314178x1.31x7.097%7.10%9.326%9.33%28-1.000000x-1.000000x1.295455x1.295455x1.30x7.018%7.02%9.091%9.09%29-1.000000x-1.000000x1.283951x1.283951x1.28x11.538%11.5%14.815%14.8%30-1.000000x-1.000000x1.211553x1.211553x1.21x6.337%6.34%7.677%7.68%31-1.000000x-1.000000x1.165553x1.165553x1.17x13.687%13.7%15.952%16.0%32-1.000000x-1.000000x1.146384x1.146384x1.15x13.846%13.8%15.873%15.9%33-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127273x1.127273x1.13x8.065%8.06%9.091%9.09%34-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.051136x1.051136x1.05x5.405%5.41%5.682%5.68%35-1.156349x-1.156349x1.16x1.000000x1.000000x6.456%6.46%5.583%5.58%36-1.170982x-1.170982x1.17x1.000000x1.000000x6.981%6.98%5.961%5.96%37-1.183530x-1.183530x1.18x1.000000x1.000000x4.415%4.41%3.730%3.73%38-1.268041x-1.268041x1.27x1.000000x1.000000x11.340%11.3%8.943%8.94%39-1.446190x-1.446190x1.45x1.000000x1.000000x5.759%5.76%3.982%3.98%40-1.594286x-1.594286x1.59x1.000000x1.000000x6.000%6.00%3.763%3.76%41-1.683962x-1.683962x1.68x1.000000x1.000000x5.660%5.66%3.361%3.36%42-1.866667x-1.866667x1.87x1.000000x1.000000x26.667%26.7%14.286%14.3%43-2.608696x-2.608696x2.61x1.000000x1.000000x4.348%4.35%1.667%1.67%44
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 44 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Becker County, selected county subdivisions in Becker County, and entities that contain Becker County
Female
Male
10x5x0x5x10xFM#DetroitFrazeeWhite EarthLake ParkToad LkRichwoodSugar BushLk PkShell LkOgemaEagle VwAtlantaTwo InletsBurlingtonHolmesvilleFrstCormorantRound LkSilver LeafOsageAudubonLk EuniceBeckerDetroit LakesMidwestWest North CentralEvergreenUnited StatesMinnesotaSavannahCallawayErie TownshipLk VwMaple GrvCuba TownshipRunebergSpruce GrvHamden-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.481%2.48%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.714%0.71%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.299%1.30%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.763%0.76%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.885%2.88%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.212%2.21%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.036%1.04%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.588%0.59%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.626%1.63%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.778%2.78%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.370%1.37%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%12-1.000000x-1.000000x6.235294x6.235294x6.24x1.887%1.89%11.765%11.8%13-1.000000x-1.000000x5.964567x5.964567x5.96x0.594%0.59%3.543%3.54%14-1.000000x-1.000000x5.937500x5.937500x5.94x1.053%1.05%6.250%6.25%15-1.000000x-1.000000x3.833333x3.833333x3.83x4.348%4.35%16.667%16.7%16-1.000000x-1.000000x2.539033x2.539033x2.54x1.952%1.95%4.957%4.96%17-1.000000x-1.000000x2.491803x2.491803x2.49x2.632%2.63%6.557%6.56%18-1.000000x-1.000000x2.431694x2.431694x2.43x1.124%1.12%2.732%2.73%19-1.000000x-1.000000x1.978022x1.978022x1.98x0.741%0.74%1.465%1.47%20-1.000000x-1.000000x1.865385x1.865385x1.87x0.515%0.52%0.962%0.96%21-1.000000x-1.000000x1.850799x1.850799x1.85x2.879%2.88%5.329%5.33%22-1.000000x-1.000000x1.822168x1.822168x1.82x1.748%1.75%3.186%3.19%-1.000000x-1.000000x1.712994x1.712994x1.71x3.297%3.30%5.647%5.65%23-1.000000x-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-1.000000x1.567568x1.567568x1.57x1.149%1.15%1.802%1.80%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.036364x1.036364x1.04x5.263%5.26%5.455%5.45%25-1.000000x-1.000000x1.000000x1.000000x2.083%2.08%2.083%2.08%26-1.089286x-1.089286x1.09x1.000000x1.000000x0.974%0.97%0.894%0.89%27-1.238724x-1.238724x1.24x1.000000x1.000000x3.412%3.41%2.755%2.75%28-1.933884x-1.933884x1.93x1.000000x1.000000x2.479%2.48%1.282%1.28%29-1.981982x-1.981982x1.98x1.000000x1.000000x6.757%6.76%3.409%3.41%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.725%0.72%0.000%0%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.250%1.25%0.000%0%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.448%3.45%0.000%0%33
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 33 by male-to-female sex ratio

Educational Attainment by County in Minnesota

There are 87 counties in Minnesota. This section compares Becker County to the 50 most populous counties in Minnesota and to those entities that contain or substantially overlap with Becker County. The least populous of the compared counties has a population of 19,034.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Becker County, selected other counties in Minnesota, and entities that contain Becker County
0%5%10%15%20%Count#Nobles CountyNoblesMower CountyMowerUnited States of AmericaUnited StatesTodd CountyToddKandiyohi CountyKandiyohiFreeborn CountyFreebornPine CountyPineMorrison CountyMorrisonMidwestMille Lacs CountyMille LacsRice CountyRiceMartin CountyMartinBeltrami CountyBeltramiRamsey CountyRamseyLe Sueur CountyLe SueurFillmore CountyFillmoreWest North CentralPolk CountyPolkMcLeod CountyMcLeodBrown CountyBrownIsanti CountyIsantiCass CountyCassOtter Tail CountyOtter TailMeeker CountyMeekerWaseca CountyWasecaHubbard CountyHubbardStearns CountyStearnsBenton CountyBentonSteele CountySteeleLyon CountyLyonBecker CountyBeckerWinona CountyWinonaMinnesotaHennepin CountyHennepinWabasha CountyWabashaGoodhue CountyGoodhueItasca CountyItascaAnoka CountyAnokaCrow Wing CountyCrow WingSt. Louis CountySt. LouisNicollet CountyNicolletChisago CountyChisagoBlue Earth CountyBlue EarthCarlton CountyCarltonWright CountyWrightDodge CountyDodgeOlmsted CountyOlmstedClay CountyClaySherburne CountySherburneDakota CountyDakotaDouglas CountyDouglasScott CountyScottCarver CountyCarverWashington CountyWashington22.731505%22.731505%22.7%3,174113.044972%13.044972%13.0%3,417213.020590%13.020590%13.0%27,818,38027.8M12.206884%12.206884%12.2%2,025311.767175%11.767175%11.8%3,364411.054220%11.054220%11.1%2,418510.945959%10.945959%10.9%2,305610.644208%10.644208%10.6%2,414710.244520%10.244520%10.2%4,641,8354.64M10.124655%10.124655%10.1%1,79589.946485%9.946485%9.9%4,08999.891183%9.891183%9.9%1,418109.774955%9.774955%9.8%2,693119.707847%9.707847%9.7%33,97334.0k129.236394%9.236394%9.2%1,743139.222022%9.222022%9.2%1,330149.174633%9.174633%9.2%1,278,0511.28M8.927976%8.927976%8.9%1,873158.891768%8.891768%8.9%2,196168.865861%8.865861%8.9%1,540178.835464%8.835464%8.8%2,308188.654264%8.654264%8.7%1,791198.273548%8.273548%8.3%3,402208.048889%8.048889%8.0%1,271218.045278%8.045278%8.0%1,059227.967382%7.967382%8.0%1,192237.919702%7.919702%7.9%7,480247.742738%7.742738%7.7%2,055257.613152%7.613152%7.6%1,857267.605788%7.605788%7.6%1,251277.576089%7.576089%7.6%1,730287.495972%7.495972%7.5%2,326297.376055%7.376055%7.4%270,121270k7.173605%7.173605%7.2%59,66059.7k306.811536%6.811536%6.8%1,025316.738113%6.738113%6.7%2,188326.702965%6.702965%6.7%2,179336.524509%6.524509%6.5%15,00215.0k346.519258%6.519258%6.5%2,913356.493917%6.493917%6.5%8,834366.438108%6.438108%6.4%1,384376.245958%6.245958%6.2%2,318385.782358%5.782358%5.8%2,194395.780300%5.780300%5.8%1,426405.768514%5.768514%5.8%4,799415.739196%5.739196%5.7%757425.720978%5.720978%5.7%5,789435.586350%5.586350%5.6%2,066445.536456%5.536456%5.5%3,237455.344224%5.344224%5.3%14,71514.7k465.162101%5.162101%5.2%1,355475.103301%5.103301%5.1%4,545484.267072%4.267072%4.3%2,665494.033635%4.033635%4.0%6,71150
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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Becker County, selected other counties in Minnesota, and entities that contain Becker County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonOlmsted CountyOlmstedRamsey CountyRamseyDakota CountyDakotaScott CountyScottMinnesotaClay CountyClayNicollet CountyNicolletBlue Earth CountyBlue EarthUnited States of AmericaUnited StatesWest North CentralWinona CountyWinonaMidwestAnoka CountyAnokaSt. Louis CountySt. LouisRice CountyRiceBeltrami CountyBeltramiLyon CountyLyonWright CountyWrightSherburne CountySherburneStearns CountyStearnsHubbard CountyHubbardDouglas CountyDouglasSteele CountySteeleGoodhue CountyGoodhueCrow Wing CountyCrow WingOtter Tail CountyOtter TailPolk CountyPolkDodge CountyDodgeBecker CountyBeckerKandiyohi CountyKandiyohiItasca CountyItascaBenton CountyBentonChisago CountyChisagoCarlton CountyCarltonLe Sueur CountyLe SueurWabasha CountyWabashaBrown CountyBrownCass CountyCassFillmore CountyFillmoreMower CountyMowerWaseca CountyWasecaMeeker CountyMeekerMartin CountyMartinIsanti CountyIsantiMcLeod CountyMcLeodFreeborn CountyFreebornMorrison CountyMorrisonMille Lacs CountyMille LacsTodd CountyToddPine CountyPineNobles CountyNobles47.581343%47.581343%47.6%395,715396k146.042751%46.042751%46.0%28,75628.8k242.301173%42.301173%42.3%70,37970.4k341.992707%41.992707%42.0%42,49242.5k441.002246%41.002246%41.0%143,489143k540.723604%40.723604%40.7%112,130112k638.846845%38.846845%38.8%34,59734.6k734.240609%34.240609%34.2%1,253,9371.25M33.009761%33.009761%33.0%12,20812.2k832.260315%32.260315%32.3%6,935931.663284%31.663284%31.7%12,01412.0k1030.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.278118%29.278118%29.3%9,0851128.952816%28.952816%29.0%13,118,64213.1M28.225614%28.225614%28.2%64,90064.9k1227.750211%27.750211%27.8%37,75037.8k1327.231817%27.231817%27.2%11,19511.2k1426.798548%26.798548%26.8%7,3831526.775292%26.775292%26.8%4,4041626.760665%26.760665%26.8%22,26322.3k1726.715925%26.715925%26.7%15,62015.6k1825.948670%25.948670%25.9%24,50824.5k1925.392688%25.392688%25.4%3,7992025.056193%25.056193%25.1%6,5772124.786815%24.786815%24.8%6,0462224.347130%24.347130%24.3%7,9062324.190408%24.190408%24.2%10,80910.8k2424.057005%24.057005%24.1%9,8922523.871491%23.871491%23.9%5,0082623.836240%23.836240%23.8%3,1442723.726735%23.726735%23.7%5,4182822.516440%22.516440%22.5%6,4372922.256060%22.256060%22.3%7,2353022.207151%22.207151%22.2%5,8943122.030610%22.030610%22.0%8,1763221.986218%21.986218%22.0%5,4243321.366117%21.366117%21.4%4,0323421.238703%21.238703%21.2%3,1963520.892343%20.892343%20.9%3,6293620.869775%20.869775%20.9%4,3193720.399390%20.399390%20.4%2,9423820.004581%20.004581%20.0%5,2403919.858695%19.858695%19.9%2,6144018.896840%18.896840%18.9%2,9844118.470982%18.470982%18.5%2,6484217.690070%17.690070%17.7%4,6214317.313844%17.313844%17.3%4,2764416.755052%16.755052%16.8%3,6654516.151506%16.151506%16.2%3,6634615.618478%15.618478%15.6%2,7694715.353548%15.353548%15.4%2,5474813.780986%13.780986%13.8%2,9024913.507126%13.507126%13.5%1,88650
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#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Becker County, selected other counties in Minnesota, and entities that contain Becker County
0%2%4%6%Count#Olmsted CountyOlmstedRamsey CountyRamseyHennepin CountyHennepinWashington CountyWashingtonNicollet CountyNicolletMinnesotaBeltrami CountyBeltramiRice CountyRiceUnited States of AmericaUnited StatesBlue Earth CountyBlue EarthDakota CountyDakotaWinona CountyWinonaWest North CentralMidwestCarver CountyCarverSt. Louis CountySt. LouisStearns CountyStearnsKandiyohi CountyKandiyohiLyon CountyLyonBecker CountyBeckerCrow Wing CountyCrow WingHubbard CountyHubbardClay CountyClayDouglas CountyDouglasMower CountyMowerOtter Tail CountyOtter TailBrown CountyBrownScott CountyScottGoodhue CountyGoodhueWright CountyWrightItasca CountyItascaPolk CountyPolkWabasha CountyWabashaAnoka CountyAnokaBenton CountyBentonChisago CountyChisagoSherburne CountySherburneLe Sueur CountyLe SueurCass CountyCassSteele CountySteeleMeeker CountyMeekerFillmore CountyFillmoreFreeborn CountyFreebornDodge CountyDodgeMcLeod CountyMcLeodNobles CountyNoblesMartin CountyMartinMorrison CountyMorrisonCarlton CountyCarltonWaseca CountyWasecaIsanti CountyIsantiMille Lacs CountyMille LacsTodd CountyToddPine CountyPine7.785431%7.785431%7.8%7,87815.718752%5.718752%5.7%20,01320.0k25.193709%5.193709%5.2%43,19443.2k34.495240%4.495240%4.5%7,47944.033121%4.033121%4.0%86753.458748%3.458748%3.5%126,664127k3.419238%3.419238%3.4%94263.371442%3.371442%3.4%1,38673.336158%3.336158%3.3%7,127,6737.13M3.326042%3.326042%3.3%1,26283.172758%3.172758%3.2%8,73693.074444%3.074444%3.1%954102.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.826035%2.826035%2.8%1,765112.813982%2.813982%2.8%3,828122.795189%2.795189%2.8%2,640132.529033%2.529033%2.5%723142.504864%2.504864%2.5%412152.465513%2.465513%2.5%563162.394647%2.394647%2.4%1,070172.359468%2.359468%2.4%353182.198307%2.198307%2.2%813192.179131%2.179131%2.2%572202.176071%2.176071%2.2%570212.164450%2.164450%2.2%890222.158895%2.158895%2.2%375232.107568%2.107568%2.1%1,877241.970929%1.970929%2.0%640251.852319%1.852319%1.9%1,541261.818014%1.818014%1.8%591271.811335%1.811335%1.8%380281.774322%1.774322%1.8%267291.760513%1.760513%1.8%4,048301.703026%1.703026%1.7%452311.681397%1.681397%1.7%624321.655635%1.655635%1.7%968331.626835%1.626835%1.6%307341.589756%1.589756%1.6%329351.484093%1.484093%1.5%362361.424862%1.424862%1.4%225371.393704%1.393704%1.4%201381.371491%1.371491%1.4%300391.349507%1.349507%1.3%178401.319998%1.319998%1.3%326411.310607%1.310607%1.3%183421.283482%1.283482%1.3%184431.230213%1.230213%1.2%279441.171463%1.171463%1.2%289451.086378%1.086378%1.1%143461.002986%1.002986%1.0%262470.975802%0.975802%1.0%173480.916270%0.916270%0.9%152490.797797%0.797797%0.8%16850
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#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Becker County, selected other counties in Minnesota, and entities that contain Becker County
Female
Male
1x0x1xFM#SherburneChisagoClayGoodhueBeckerBeltramiToddItascaSteeleWasecaHubbardWabashaMille LacsMowerPineMeekerNicolletWrightIsantiDouglasFreebornMartinNoblesCarltonCarverCassFillmoreRiceMcLeodWinonaMorrisonCrow WingAnokaKandiyohiDodgeLe SueurOtter TailWest North CentralMinnesotaMidwestScottBlue EarthUnited StatesStearnsSt. LouisWashingtonBentonOlmstedPolkRamseyDakotaHennepinLyonBrown-1.000000x-1.000000x1.854741x1.854741x1.85x3.863%3.86%7.165%7.17%1-1.000000x-1.000000x1.772080x1.772080x1.77x4.473%4.47%7.927%7.93%2-1.000000x-1.000000x1.572235x1.572235x1.57x4.356%4.36%6.849%6.85%3-1.000000x-1.000000x1.556218x1.556218x1.56x5.302%5.30%8.251%8.25%4-1.000000x-1.000000x1.516852x1.516852x1.52x6.023%6.02%9.136%9.14%5-1.000000x-1.000000x1.503775x1.503775x1.50x7.839%7.84%11.788%11.8%6-1.000000x-1.000000x1.488318x1.488318x1.49x9.782%9.78%14.559%14.6%7-1.000000x-1.000000x1.485888x1.485888x1.49x5.397%5.40%8.020%8.02%8-1.000000x-1.000000x1.468955x1.468955x1.47x6.194%6.19%9.099%9.10%9-1.000000x-1.000000x1.429519x1.429519x1.43x6.696%6.70%9.572%9.57%10-1.000000x-1.000000x1.404540x1.404540x1.40x6.627%6.63%9.309%9.31%11-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%12-1.000000x-1.000000x1.369736x1.369736x1.37x8.563%8.56%11.728%11.7%13-1.000000x-1.000000x1.335628x1.335628x1.34x11.205%11.2%14.966%15.0%14-1.000000x-1.000000x1.332015x1.332015x1.33x9.296%9.30%12.382%12.4%15-1.000000x-1.000000x1.329371x1.329371x1.33x6.907%6.91%9.181%9.18%16-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%17-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%18-1.000000x-1.000000x1.308424x1.308424x1.31x7.652%7.65%10.011%10.0%19-1.000000x-1.000000x1.303635x1.303635x1.30x4.496%4.50%5.861%5.86%20-1.000000x-1.000000x1.288121x1.288121x1.29x9.679%9.68%12.468%12.5%21-1.000000x-1.000000x1.277833x1.277833x1.28x8.705%8.71%11.124%11.1%22-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%23-1.000000x-1.000000x1.269162x1.269162x1.27x5.075%5.08%6.441%6.44%24-1.000000x-1.000000x1.261501x1.261501x1.26x3.783%3.78%4.772%4.77%25-1.000000x-1.000000x1.246667x1.246667x1.25x7.695%7.70%9.593%9.59%26-1.000000x-1.000000x1.218895x1.218895x1.22x8.324%8.32%10.146%10.1%27-1.000000x-1.000000x1.216255x1.216255x1.22x8.956%8.96%10.893%10.9%28-1.000000x-1.000000x1.212928x1.212928x1.21x8.054%8.05%9.769%9.77%29-1.000000x-1.000000x1.208433x1.208433x1.21x6.792%6.79%8.208%8.21%30-1.000000x-1.000000x1.202863x1.202863x1.20x9.663%9.66%11.623%11.6%31-1.000000x-1.000000x1.200288x1.200288x1.20x5.934%5.93%7.123%7.12%32-1.000000x-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%33-1.000000x-1.000000x1.195753x1.195753x1.20x10.733%10.7%12.834%12.8%34-1.000000x-1.000000x1.195088x1.195088x1.20x5.231%5.23%6.251%6.25%35-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%36-1.000000x-1.000000x1.180118x1.180118x1.18x7.597%7.60%8.966%8.97%37-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.117122x1.117122x1.12x4.825%4.83%5.390%5.39%38-1.000000x-1.000000x1.109674x1.109674x1.11x5.482%5.48%6.083%6.08%39-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099862x1.099862x1.10x7.542%7.54%8.295%8.30%40-1.000000x-1.000000x1.089583x1.089583x1.09x6.217%6.22%6.774%6.77%41-1.000000x-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%42-1.000000x-1.000000x1.064444x1.064444x1.06x7.501%7.50%7.984%7.98%43-1.000000x-1.000000x1.055151x1.055151x1.06x5.573%5.57%5.880%5.88%44-1.000000x-1.000000x1.022657x1.022657x1.02x8.829%8.83%9.029%9.03%45-1.000000x-1.000000x1.006778x1.006778x1.01x9.677%9.68%9.742%9.74%46-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%47-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%48-1.046342x-1.046342x1.05x1.000000x1.000000x7.775%7.78%7.431%7.43%49-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%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#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Becker County, selected other counties in Minnesota, and entities that contain Becker County
Female
Male
1x0x1x2x3xFM#MartinOtter TailMeekerKandiyohiCassBrownWasecaWinonaPolkDouglasFillmoreBeckerOlmstedWabashaNoblesSteeleWashingtonClayFreebornBlue EarthMowerMidwestHubbardWest North CentralWrightGoodhueMille LacsUnited StatesAnokaRamseyPineSt. LouisCrow WingMinnesotaBentonHennepinStearnsItascaScottDakotaLyonCarverIsantiToddNicolletChisagoBeltramiRiceSherburneMcLeodLe SueurDodgeMorrisonCarlton-1.000000x-1.000000x3.306737x3.306737x3.31x0.602%0.60%1.991%1.99%1-1.000000x-1.000000x2.679076x2.679076x2.68x1.183%1.18%3.169%3.17%2-1.000000x-1.000000x2.440738x2.440738x2.44x0.827%0.83%2.018%2.02%3-1.000000x-1.000000x2.437342x2.437342x2.44x1.481%1.48%3.610%3.61%4-1.000000x-1.000000x2.412505x2.412505x2.41x0.928%0.93%2.238%2.24%5-1.000000x-1.000000x2.394887x2.394887x2.39x1.287%1.29%3.082%3.08%6-1.000000x-1.000000x2.312181x2.312181x2.31x0.672%0.67%1.555%1.55%7-1.000000x-1.000000x2.216484x2.216484x2.22x1.916%1.92%4.247%4.25%8-1.000000x-1.000000x2.203958x2.203958x2.20x1.134%1.13%2.500%2.50%9-1.000000x-1.000000x2.124662x2.124662x2.12x1.407%1.41%2.989%2.99%10-1.000000x-1.000000x2.105903x2.105903x2.11x0.902%0.90%1.900%1.90%11-1.000000x-1.000000x1.822168x1.822168x1.82x1.748%1.75%3.186%3.19%12-1.000000x-1.000000x1.681240x1.681240x1.68x5.861%5.86%9.854%9.85%13-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%14-1.000000x-1.000000x1.662747x1.662747x1.66x0.977%0.98%1.624%1.62%15-1.000000x-1.000000x1.661053x1.661053x1.66x1.122%1.12%1.864%1.86%16-1.000000x-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%17-1.000000x-1.000000x1.639544x1.639544x1.64x1.671%1.67%2.740%2.74%18-1.000000x-1.000000x1.630023x1.630023x1.63x1.046%1.05%1.706%1.71%19-1.000000x-1.000000x1.629253x1.629253x1.63x2.530%2.53%4.122%4.12%20-1.000000x-1.000000x1.612378x1.612378x1.61x1.674%1.67%2.700%2.70%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.578118x1.578118x1.58x1.831%1.83%2.889%2.89%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%23-1.000000x-1.000000x1.569228x1.569228x1.57x1.543%1.54%2.421%2.42%24-1.000000x-1.000000x1.547391x1.547391x1.55x0.768%0.77%1.189%1.19%25-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523149x1.523149x1.52x1.399%1.40%2.131%2.13%26-1.000000x-1.000000x1.500145x1.500145x1.50x4.618%4.62%6.928%6.93%27-1.000000x-1.000000x1.488261x1.488261x1.49x0.633%0.63%0.942%0.94%28-1.000000x-1.000000x1.487208x1.487208x1.49x2.265%2.26%3.368%3.37%29-1.000000x-1.000000x1.483973x1.483973x1.48x1.934%1.93%2.870%2.87%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.468727x1.468727x1.47x1.380%1.38%2.026%2.03%31-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%32-1.000000x-1.000000x1.391736x1.391736x1.39x2.337%2.34%3.252%3.25%33-1.000000x-1.000000x1.385205x1.385205x1.39x1.525%1.53%2.113%2.11%34-1.000000x-1.000000x1.366530x1.366530x1.37x1.785%1.79%2.440%2.44%35-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%36-1.000000x-1.000000x1.345451x1.345451x1.35x2.141%2.14%2.881%2.88%37-1.000000x-1.000000x1.325915x1.325915x1.33x2.437%2.44%3.232%3.23%38-1.000000x-1.000000x1.309730x1.309730x1.31x0.868%0.87%1.137%1.14%39-1.000000x-1.000000x1.298249x1.298249x1.30x0.796%0.80%1.033%1.03%40-1.000000x-1.000000x1.271055x1.271055x1.27x3.549%3.55%4.511%4.51%41-1.000000x-1.000000x1.251393x1.251393x1.25x1.489%1.49%1.864%1.86%42-1.000000x-1.000000x1.248954x1.248954x1.25x3.047%3.05%3.806%3.81%43-1.000000x-1.000000x1.248003x1.248003x1.25x2.992%2.99%3.734%3.73%44-1.000000x-1.000000x1.207534x1.207534x1.21x1.498%1.50%1.809%1.81%45-1.000000x-1.000000x1.199895x1.199895x1.20x1.203%1.20%1.443%1.44%46-1.000000x-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%47-1.000000x-1.000000x1.028949x1.028949x1.03x1.330%1.33%1.369%1.37%48-1.253864x-1.253864x1.25x1.000000x1.000000x1.369%1.37%1.092%1.09%49-1.954634x-1.954634x1.95x1.000000x1.000000x1.566%1.57%0.801%0.80%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 Becker County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Becker County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Becker County, selected other counties in the United States, and entities that contain Becker County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinWest North CentralNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeBecker CountyBeckerKing CountyKingMinnesotaMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.174633%9.174633%9.2%1,278,0511.28M9.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.576089%7.576089%7.6%1,7307.543133%7.543133%7.5%110,490110k457.376055%7.376055%7.4%270,121270k7.360151%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Becker County, selected other counties in the United States, and entities that contain Becker 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 CountySuffolkMinnesotaPalm 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 CountySacramentoMidwestMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaBecker CountyBeckerClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.240609%34.240609%34.2%1,253,9371.25M34.188819%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%13,118,64213.1M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4423.726735%23.726735%23.7%5,41822.823853%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%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Becker County, selected other counties in the United States, and entities that contain Becker 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 CountyHillsboroughMinnesotaKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensBecker CountyBeckerFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%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%30,88530.9k343.458748%3.458748%3.5%126,664127k3.384967%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%44,96545.0k432.465513%2.465513%2.5%5632.392530%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%15,06415.1k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Becker County, selected other counties in the United States, and entities that contain Becker County
Female
Male
1x0x1xFM#BeckerMecklenburgPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralMinnesotaHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.516852x1.516852x1.52x6.023%6.02%9.136%9.14%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%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-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-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#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Becker County, selected other counties in the United States, and entities that contain Becker County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandBeckerMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoMinnesotaOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.822168x1.822168x1.82x1.748%1.75%3.186%3.19%-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-1.000000x1.660749x1.660749x1.66x2.139%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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Audubon, Callaway, Detroit Lakes, Frazee, Lake Park, Ogema, Wolf Lake
Townships:
Atlanta, Audubon, Burlington, Callaway, Carsonville, Cormorant, Cuba, Detroit, Eagle View, Erie, Evergreen, Forest, Green Valley, Hamden, Height of Land, Holmesville, Lake Eunice, Lake Park, Lake View, Maple Grove, Osage, Pine Point, Riceville, Richwood, Round Lake, Runeberg, Savannah, Shell Lake, Silver Leaf, Spring Creek, Spruce Grove, Sugar Bush, Toad Lake, Two Inlets, Walworth, White Earth, Wolf Lake
Unincorporated Places:
Elbow Lake, Osage, Pine Point, White Earth
ZIP Codes:
56464, 56470, 56501, 56511, 56521, 56544, 56552, 56554, 56569, 56570, 56572, 56575, 56577, 56578, 56585, 56589, 56591, 56593
Unified School Districts:
Detroit Lakes, Frazee-Vergas, Lake Park Audubon, Menahga, New York Mills, Park Rapids, Pelican Rapids, Perham-Dent, Sebeka, Ulen-Hitterdal, Waubun-Ogema-White Earth
Elementary School District:
Pine Point
Congressional District:
MN-7
State Senate Districts:
MN-2, MN-4
State House Districts:
MN-2B, MN-4B
Neighboring Counties:
Clay, Clearwater, Hubbard, Mahnomen, Norman, Otter Tail, Wadena
Nearby Counties:
Wilkin