Educational Attainment in Washington County, Minnesota (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Minnesota and Washington County
Washington County
Minnesota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma253.324999%45.216942%53.324999%53.3%88,72088.7k42.641367%47.407004%42.641367%42.6%70,94570.9k4.033635%7.376055%4.033635%4.0%6,711
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 Washington County
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma217.931458%17.931458%+17.9%53.325%53.3%45.217%45.2%-10.052601%-10.052601%-10.1%42.641%42.6%47.407%47.4%-45.314468%-45.314468%-45.3%4.034%4.03%7.376%7.38%
% percentage with given level in Washington 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 Washington County
Washington County
Minnesota
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.854234%1.366389%1.854234%1.9%3,0852.641006%2.092359%2.641006%2.6%4,39410.221426%8.000226%10.221426%10.2%17,00617.0k27.584507%22.781635%27.584507%27.6%45,89445.9k11.023826%10.976332%11.023826%11.0%18,34118.3k21.072751%21.730308%21.072751%21.1%35,06035.1k21.568616%25.676696%21.568616%21.6%35,88535.9k2.531615%4.319913%2.531615%2.5%4,2120.695413%1.957001%0.695413%0.7%1,1570.806607%1.099141%0.806607%0.8%1,342
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 Washington County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None35.703203%35.703203%+35.7%1.854%1.85%1.366%1.37%26.221436%26.221436%+26.2%2.641%2.64%2.092%2.09%27.764216%27.764216%+27.8%10.221%10.2%8.000%8.00%21.082211%21.082211%+21.1%27.585%27.6%22.782%22.8%0.432687%0.432687%+0.4%11.024%11.0%10.976%11.0%-3.025991%-3.025991%-3.0%21.073%21.1%21.730%21.7%-15.999255%-15.999255%-16.0%21.569%21.6%25.677%25.7%-41.396617%-41.396617%-41.4%2.532%2.53%4.320%4.32%-64.465384%-64.465384%-64.5%0.695%0.70%1.957%1.96%-26.614779%-26.614779%-26.6%0.807%0.81%1.099%1.10%
% percentage with given level in Washington 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 Washington County
More Females More Males
Minnesota
Washington County
5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-4.604796%-7.094129%-4.604796%5%54.491%54.5%52.092%52.1%4.944543%4.644972%4.944543%5%41.641%41.6%43.700%43.7%8.782785%13.638813%8.782785%9%3.869%3.87%4.208%4.21%
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 Washington County
More Females More Males
Minnesota
Washington County
50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None65.304601%46.084775%65.304601%65%1.408%1.41%2.327%2.33%64.653339%49.436197%64.653339%65%2.010%2.01%3.309%3.31%-8.886137%-22.131208%-8.886137%9%10.643%10.6%9.775%9.77%-10.851479%-6.225334%-10.851479%11%28.962%29.0%26.127%26.1%-8.655385%-14.436796%-8.655385%9%11.468%11.5%10.554%10.6%-1.393757%4.179885%4.179885%4%20.653%20.7%21.517%21.5%5.697020%10.026271%5.697020%6%20.988%21.0%22.183%22.2%35.483648%29.029778%35.483648%35%2.159%2.16%2.926%2.93%3.100584%5.463227%3.100584%3%0.685%0.69%0.706%0.71%-77.662413%-26.769029%-77.662413%78%1.024%1.02%0.576%0.58%
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 Washington County
Washington County
Minnesota
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3418.998716%15.674649%18.998716%19.0%6,06831,93931.9k27.124689%21.754200%27.124689%27.1%19,62219.6k72,34072.3k32.288623%26.172525%32.288623%32.3%10,49810.5k32,51332.5k32.808275%29.184434%32.808275%32.8%9,70629,58429.6k
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 Washington County
0%5%10%15%20%%ref.65+45-6435-4425-3421.206644%21.206644%21.2%18.999%19.0%15.675%15.7%24.687138%24.687138%24.7%27.125%27.1%21.754%21.8%23.368393%23.368393%23.4%32.289%32.3%26.173%26.2%12.417032%12.417032%12.4%32.808%32.8%29.184%29.2%
% percentage in Washington 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 Washington County
More Females More Males
Minnesota
Washington County
20%0%20%FM65+45-6435-4425-3438.008495%20.814223%38.008495%38.0%16.207%16.2%22.367%22.4%-13.286872%-6.871300%-13.286872%13.3%28.776%28.8%25.401%25.4%-16.059756%-16.463598%-16.059756%16.1%34.667%34.7%29.870%29.9%-39.130583%-19.935695%-39.130583%39.1%38.204%38.2%27.459%27.5%
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 Washington County
Washington County
Minnesota
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$79,446.000000$68,001.000000$79,446.000000$79.4k24,48524.5k14.717%14.7%$62,414.000000$52,072.000000$62,414.000000$62.4k45,89445.9k27.585%27.6%$43,212.000000$36,939.000000$43,212.000000$43.2k53,40153.4k32.097%32.1%$35,797.000000$31,011.000000$35,797.000000$35.8k35,88535.9k21.569%21.6%$28,721.000000$22,379.000000$28,721.000000$28.7k6,7114.034%4.03%$50,807.000000$40,804.000000$50,807.000000$50.8k166,376166k100.000%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 Washington County
Female Male
Minnesota
Washington County
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-66,174.000000$-60,699.000000$-66,174.000000$66.2k$66,174.000000$34,737.000000$60,699.000000$20,223.000000$100,911.000000$100.9k12,02712.0k12,45812.5k$-50,330.000000$-43,209.000000$-50,330.000000$50.3k$50,330.000000$27,143.000000$43,209.000000$20,301.000000$77,473.000000$77.5k24,77324.8k21,12121.1k$-36,090.000000$-30,960.000000$-36,090.000000$36.1k$36,090.000000$15,834.000000$30,960.000000$13,760.000000$51,924.000000$51.9k27,47527.5k25,92625.9k$-31,122.000000$-24,260.000000$-31,122.000000$31.1k$31,122.000000$9,754.000000$24,260.000000$12,346.000000$40,876.000000$40.9k17,95218.0k17,93317.9k$-20,933.000000$-17,131.000000$-20,933.000000$20.9k$20,933.000000$11,086.000000$17,131.000000$9,376.000000$32,019.000000$32.0k3,3093,402$-41,373.000000$-34,315.000000$-41,373.000000$41.4k$41,373.000000$18,703.000000$34,315.000000$12,949.000000$60,076.000000$60.1k85,53685.5k80,84080.8k
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 Washington County
Washington County
Minnesota
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma332.608696%35.183299%32.608696%32.6%6052.717391%56.313646%52.717391%52.7%9714.673913%8.503055%14.673913%14.7%270.000000%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 Washington County
Washington County
Minnesota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.369657%87.405591%86.369657%86.4%52,16952.2k82.289460%81.736852%82.289460%82.3%36,90636.9k72.412551%74.314958%72.412551%72.4%18,09318.1k57.690476%58.425001%57.690476%57.7%2,423
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 Washington County
Female Male
Minnesota
Washington County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-2.781650%-4.270697%-2.781650%2.8%2.781650%0.322169%4.270697%1.199676%3.103820%3.1%2,1892,095-8.048374%-15.996843%-5.794594%-8.048374%8.0%8.048374%5.725641%15.996843%13.774015%13.8%423193-10.642570%-3.763579%-17.242336%-6.032412%-14.406149%14.4%10.642570%17.242336%10.642570%10.6%371581-14.067025%-1.419323%-32.943822%-15.486348%15.5%14.067025%32.943822%5.005995%14.067025%14.1%340363-10.299807%-0.083729%-21.417113%-10.383536%10.4%10.299807%21.417113%5.201726%10.299807%10.3%213222
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 Washington County
Female Male
Minnesota
Washington County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-41.793098%-1.085479%-34.661162%-1.797325%-42.878577%42.9%41.793098%34.661162%41.793098%41.8%29,47529.5k32,29432.3k-33.474438%-13.064344%-18.524426%-46.538782%46.5%33.474438%18.524426%2.990804%33.474438%33.5%1,0281,116-55.194644%-41.369118%-55.194644%55.2%55.194644%2.321133%41.369118%3.173947%57.515777%57.5%2,0052,226-26.603227%-2.577660%-15.584176%-2.395113%-29.180887%29.2%26.603227%15.584176%26.603227%26.6%643684-25.241779%-8.574872%-17.924863%-3.708263%-33.816651%33.8%25.241779%17.924863%25.241779%25.2%522723
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 Washington 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
7%22%36%50%64%79%

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
20%29%38%47%56%65%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%13%20%26%33%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.5%2.2%3.0%3.8%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.8%3.6%5.4%7.3%9.1%

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%4.2%8.5%12.7%17.0%21.3%

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
2%11%19%28%37%46%

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
3.8%6.1%8.4%10.7%13.0%15.4%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
11.1%15.9%20.6%25.3%29.9%34.7%

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
8%16%22%29%36%43%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%4.3%8.3%12.3%16.2%20.3%

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%2.2%4.3%6.5%8.7%10.9%

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%0.8%1.5%2.3%3.1%3.9%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Washington 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
2%17%32%47%61%77%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
20%34%47%60%73%86%

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
0.8%4.4%7.9%11.4%14.9%18.5%

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%1.2%2.5%3.7%4.9%6.2%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.6%3.2%4.8%6.4%8.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.9%7.8%11.6%15.5%19.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%17%25%33%42%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%5.0%8.5%11.9%15.4%18.9%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
9.9%14.3%18.6%23.0%27.3%31.7%

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
7%19%30%41%52%64%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%2.9%5.3%7.7%10.1%12.6%

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
0.0%1.1%2.1%3.2%4.2%5.3%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.8%2.8%3.7%4.6%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Washington County

There are 27 places that are fully or partially contained within Washington County (25 fully and 2 partially). This section compares all 27 of those to each other, Washington County, and other entities that contain or substantially overlap with Washington 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 Washington County, selected places in Washington County, and entities that contain Washington County
0%10%20%30%Count#LandfallUnited States of AmericaUnited StatesMidwestWest North CentralBayportSt. Paul ParkMinnesotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisNewportLakeland ShoresLakeland ShrsHastingsWillernieOakdaleOak Park HeightsOak Pk HtsLake ElmoCottage GroveLake St. Croix BeachLk St. Croix BchForest LakeWashington CountyWashingtonWhite Bear LakeWhite Bear LkLakelandScandiaWoodburyHugoStillwaterMahtomediAftonMarine on St. CroixSt. Marys PointSt. Marys PtBirchwood VillageBirchwood VlgDellwoodGrantPine Springs32.688172%32.688172%32.7%152113.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.925384%8.925384%8.9%25028.817803%8.817803%8.8%31737.376055%7.376055%7.4%270,121270k6.766618%6.766618%6.8%158,334158k6.576655%6.576655%6.6%15146.113537%6.113537%6.1%1456.110006%6.110006%6.1%95266.012658%6.012658%6.0%1975.387794%5.387794%5.4%1,01785.164319%5.164319%5.2%19895.059683%5.059683%5.1%284104.937132%4.937132%4.9%1,123114.911839%4.911839%4.9%39124.235165%4.235165%4.2%541134.033635%4.033635%4.0%6,7114.007276%4.007276%4.0%705143.906837%3.906837%3.9%52153.496743%3.496743%3.5%102163.024874%3.024874%3.0%1,317173.023711%3.023711%3.0%278182.851829%2.851829%2.9%368192.437631%2.437631%2.4%128202.393857%2.393857%2.4%53212.083333%2.083333%2.1%12221.968504%1.968504%2.0%5231.783061%1.783061%1.8%12241.366460%1.366460%1.4%11250.809848%0.809848%0.8%25260.344828%0.344828%0.3%127
Count number of people in category
# rank of place out of 27 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 Washington County, selected places in Washington County, and entities that contain Washington County
0%20%40%60%Count#DellwoodPine SpringsBirchwood VillageBirchwood VlgWoodburyMarine on St. CroixAftonMahtomediStillwaterLake ElmoGrantWashington CountyWashingtonLakelandMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisHugoSt. Marys PointSt. Marys PtLakeland ShoresLakeland ShrsScandiaOak Park HeightsOak Pk HtsMinnesotaWhite Bear LakeWhite Bear LkOakdaleCottage GroveUnited States of AmericaUnited StatesWest North CentralMidwestHastingsForest LakeWillernieLake St. Croix BeachLk St. Croix BchSt. Paul ParkBayportNewportLandfall71.925466%71.925466%71.9%579166.206897%66.206897%66.2%192260.326895%60.326895%60.3%406358.692207%58.692207%58.7%25,55425.6k458.159722%58.159722%58.2%335554.471545%54.471545%54.5%1,206652.942297%52.942297%52.9%2,780747.233416%47.233416%47.2%6,095846.891146%46.891146%46.9%2,632942.662779%42.662779%42.7%1,3171042.301173%42.301173%42.3%70,37970.4k40.495868%40.495868%40.5%5391139.983752%39.983752%40.0%935,591936k38.155319%38.155319%38.2%3,5081237.795276%37.795276%37.8%961336.244541%36.244541%36.2%831435.070278%35.070278%35.1%1,0231534.585290%34.585290%34.6%1,3261634.240609%34.240609%34.2%1,253,9371.25M33.609959%33.609959%33.6%5,9131731.447341%31.447341%31.4%5,9361830.616372%30.616372%30.6%6,9641930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.059816%28.059816%28.1%4,3722027.007985%27.007985%27.0%3,4502125.949367%25.949367%25.9%822224.811083%24.811083%24.8%1972319.499305%19.499305%19.5%7012419.350232%19.350232%19.4%5422517.770035%17.770035%17.8%408262.580645%2.580645%2.6%1227
Count number of people in category
# rank of place out of 27 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 Washington County, selected places in Washington County, and entities that contain Washington County
0%5%10%Count#DellwoodBirchwood VillageBirchwood VlgAftonMahtomediLakeland ShoresLakeland ShrsWoodburyMarine on St. CroixPine SpringsLakelandGrantStillwaterLake ElmoWashington CountyWashingtonSt. Marys PointSt. Marys PtMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisOak Park HeightsOak Pk HtsMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestWillernieWhite Bear LakeWhite Bear LkForest LakeHugoScandiaBayportOakdaleCottage GroveSt. Paul ParkLake St. Croix BeachLk St. Croix BchHastingsNewportLandfall11.552795%11.552795%11.6%9319.212481%9.212481%9.2%6229.168925%9.168925%9.2%20337.446201%7.446201%7.4%39147.423581%7.423581%7.4%1757.214222%7.214222%7.2%3,14167.118056%7.118056%7.1%4176.896552%6.896552%6.9%2086.536439%6.536439%6.5%8796.057661%6.057661%6.1%187105.184439%5.184439%5.2%669114.721183%4.721183%4.7%265124.495240%4.495240%4.5%7,4794.330709%4.330709%4.3%11133.980678%3.980678%4.0%93,14593.1k3.468962%3.468962%3.5%133143.458748%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%1,311,0191.31M2.848101%2.848101%2.8%9152.648781%2.648781%2.6%466162.403319%2.403319%2.4%307172.316728%2.316728%2.3%213182.194035%2.194035%2.2%64191.785077%1.785077%1.8%50201.769443%1.769443%1.8%334211.653038%1.653038%1.7%376221.446453%1.446453%1.4%52231.133501%1.133501%1.1%9241.123163%1.123163%1.1%175250.827526%0.827526%0.8%19260.430108%0.430108%0.4%227
Count number of people in category
# rank of place out of 27 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 Washington County, selected places in Washington County, and entities that contain Washington County
Female
Male
10x5x0x5x10xFM#GrantBayportBirchwood VlgLk St. Croix BchMahtomediWillernieNewportMarine on St. CroixStillwaterHugoLakelandHastingsForest LakeWest North CentralMinnesotaMidwestUnited StatesWashingtonMinneapolisCottage GroveLandfallAftonWoodburyOakdaleLake ElmoWhite Bear LkOak Pk HtsSt. Paul ParkSt. Marys PtDellwoodScandiaLakeland ShrsPine Springs-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.556%1.56%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.291%12.3%2-1.000000x-1.000000x5.196970x5.196970x5.20x0.583%0.58%3.030%3.03%3-1.000000x-1.000000x3.333333x3.333333x3.33x2.267%2.27%7.557%7.56%4-1.000000x-1.000000x2.332049x2.332049x2.33x1.513%1.51%3.528%3.53%5-1.000000x-1.000000x2.314451x2.314451x2.31x3.497%3.50%8.092%8.09%6-1.000000x-1.000000x2.056571x2.056571x2.06x4.250%4.25%8.739%8.74%7-1.000000x-1.000000x1.931741x1.931741x1.93x1.413%1.41%2.730%2.73%8-1.000000x-1.000000x1.880234x1.880234x1.88x1.988%1.99%3.739%3.74%9-1.000000x-1.000000x1.607476x1.607476x1.61x2.329%2.33%3.744%3.74%10-1.000000x-1.000000x1.321003x1.321003x1.32x3.377%3.38%4.462%4.46%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.181826x1.181826x1.18x3.887%3.89%4.594%4.59%13-1.000000x-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%-1.000000x-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%14-1.000000x-1.000000x1.015089x1.015089x1.02x32.432%32.4%32.922%32.9%15-1.037037x-1.037037x1.04x1.000000x1.000000x2.439%2.44%2.352%2.35%16-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%17-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%18-1.236829x-1.236829x1.24x1.000000x1.000000x5.579%5.58%4.510%4.51%19-1.239635x-1.239635x1.24x1.000000x1.000000x4.394%4.39%3.545%3.54%20-1.256014x-1.256014x1.26x1.000000x1.000000x5.719%5.72%4.553%4.55%21-1.559145x-1.559145x1.56x1.000000x1.000000x10.653%10.7%6.833%6.83%22-1.572581x-1.572581x1.57x1.000000x1.000000x2.419%2.42%1.538%1.54%23-1.644578x-1.644578x1.64x1.000000x1.000000x1.687%1.69%1.026%1.03%24-1.806603x-1.806603x1.81x1.000000x1.000000x4.575%4.58%2.532%2.53%25-3.389356x-3.389356x3.39x1.000000x1.000000x9.244%9.24%2.727%2.73%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.676%0.68%0.000%0%27
F percentage of females in category
M percentage of males in category
# rank of place out of 27 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 Washington County, selected places in Washington County, and entities that contain Washington County
Female
Male
5x0x5x10xFM#Oak Pk HtsNewportLandfallWillernieSt. Marys PtBirchwood VlgWhite Bear LkDellwoodForest LakeOakdaleLk St. Croix BchStillwaterHastingsLakelandGrantWashingtonWoodburyMidwestWest North CentralPine SpringsUnited StatesAftonCottage GroveMinnesotaMinneapolisMarine on St. CroixMahtomediHugoLake ElmoBayportScandiaLakeland ShrsSt. Paul Park-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.296%7.30%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.597%1.60%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.823%0.82%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.202%5.20%4-1.000000x-1.000000x9.538462x9.538462x9.54x0.806%0.81%7.692%7.69%5-1.000000x-1.000000x2.988258x2.988258x2.99x4.665%4.66%13.939%13.9%6-1.000000x-1.000000x2.901649x2.901649x2.90x1.419%1.42%4.119%4.12%7-1.000000x-1.000000x2.894359x2.894359x2.89x6.024%6.02%17.436%17.4%8-1.000000x-1.000000x2.484698x2.484698x2.48x1.388%1.39%3.449%3.45%9-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%10-1.000000x-1.000000x2.000000x2.000000x2.00x0.756%0.76%1.511%1.51%11-1.000000x-1.000000x1.960266x1.960266x1.96x3.518%3.52%6.896%6.90%12-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%13-1.000000x-1.000000x1.714406x1.714406x1.71x4.846%4.85%8.308%8.31%14-1.000000x-1.000000x1.649500x1.649500x1.65x4.527%4.53%7.467%7.47%15-1.000000x-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%16-1.000000x-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-1.000000x1.563380x1.563380x1.56x5.405%5.41%8.451%8.45%17-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519481x1.519481x1.52x7.223%7.22%10.976%11.0%18-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%19-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.363582x1.363582x1.36x6.007%6.01%8.191%8.19%20-1.000000x-1.000000x1.222754x1.222754x1.22x6.756%6.76%8.261%8.26%21-1.000000x-1.000000x1.107235x1.107235x1.11x2.201%2.20%2.437%2.44%22-1.074450x-1.074450x1.07x1.000000x1.000000x4.886%4.89%4.547%4.55%23-1.136524x-1.136524x1.14x1.000000x1.000000x1.956%1.96%1.721%1.72%24-1.437908x-1.437908x1.44x1.000000x1.000000x2.614%2.61%1.818%1.82%25-1.694678x-1.694678x1.69x1.000000x1.000000x9.244%9.24%5.455%5.45%26-8.690471x-8.690471x8.69x1.000000x1.000000x2.516%2.52%0.290%0.29%27
F percentage of females in category
M percentage of males in category
# rank of place out of 27 by male-to-female sex ratio

Educational Attainment by County Subdivision in Washington County

There are 33 county subdivisions in Washington County. This section compares all 33 of those to each other, Washington County, and other entities that contain or substantially overlap with Washington 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 Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
0%10%20%30%Count#LandfallWhite Bear LakeWhite Bear LkUnited States of AmericaUnited StatesMidwestWest North CentralBayportSt. Paul ParkMinnesotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisNewportLakeland ShoresLakeland ShrsWillernieOakdaleOak Park HeightsOak Pk HtsLake ElmoCottage GroveLake St. Croix BeachLk St. Croix BchGrey Cloud Island TownshipGrey Cloud IsForest LakeWashington CountyWashingtonLakelandScandiaDenmark TownshipDenmarkWoodburyHugoStillwaterMahtomediAftonMarine on St. CroixSt. Marys PointSt. Marys PtWest Lakeland TownshipW LakelandBirchwood VillageBirchwood VlgStillwater TownshipStillwaterMay TownshipDellwoodBaytown TownshipBaytownGrantPine Springs32.688172%32.688172%32.7%152125.874126%25.874126%25.9%74213.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.925384%8.925384%8.9%25038.817803%8.817803%8.8%31747.376055%7.376055%7.4%270,121270k6.766618%6.766618%6.8%158,334158k6.576655%6.576655%6.6%15156.113537%6.113537%6.1%1466.012658%6.012658%6.0%1975.387794%5.387794%5.4%1,01785.164319%5.164319%5.2%19895.059683%5.059683%5.1%284104.937132%4.937132%4.9%1,123114.911839%4.911839%4.9%39124.326923%4.326923%4.3%9134.235165%4.235165%4.2%541144.033635%4.033635%4.0%6,7113.906837%3.906837%3.9%52153.496743%3.496743%3.5%102163.380503%3.380503%3.4%43173.024874%3.024874%3.0%1,317183.023711%3.023711%3.0%278192.851829%2.851829%2.9%368202.437631%2.437631%2.4%128212.393857%2.393857%2.4%53222.083333%2.083333%2.1%12231.968504%1.968504%2.0%5241.867641%1.867641%1.9%46251.783061%1.783061%1.8%12261.697417%1.697417%1.7%23271.420064%1.420064%1.4%31281.366460%1.366460%1.4%11291.295547%1.295547%1.3%16300.809848%0.809848%0.8%25310.344828%0.344828%0.3%132
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
0%20%40%60%Count#DellwoodPine SpringsBirchwood VillageBirchwood VlgBaytown TownshipBaytownWoodburyMarine on St. CroixStillwater TownshipStillwaterAftonMahtomediWest Lakeland TownshipW LakelandStillwaterLake ElmoMay TownshipDenmark TownshipDenmarkGrantWashington CountyWashingtonLakelandMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisHugoSt. Marys PointSt. Marys PtLakeland ShoresLakeland ShrsGrey Cloud Island TownshipGrey Cloud IsScandiaOak Park HeightsOak Pk HtsMinnesotaWhite Bear LakeWhite Bear LkOakdaleCottage GroveUnited States of AmericaUnited StatesWest North CentralMidwestForest LakeWillernieLake St. Croix BeachLk St. Croix BchSt. Paul ParkBayportNewportLandfall71.925466%71.925466%71.9%579166.206897%66.206897%66.2%192260.326895%60.326895%60.3%406359.433198%59.433198%59.4%734458.692207%58.692207%58.7%25,55425.6k558.159722%58.159722%58.2%335656.162362%56.162362%56.2%761754.471545%54.471545%54.5%1,206852.942297%52.942297%52.9%2,780948.477467%48.477467%48.5%1,1941047.233416%47.233416%47.2%6,0951146.891146%46.891146%46.9%2,6321245.579478%45.579478%45.6%9951344.575472%44.575472%44.6%5671442.662779%42.662779%42.7%1,3171542.301173%42.301173%42.3%70,37970.4k40.495868%40.495868%40.5%5391639.983752%39.983752%40.0%935,591936k38.155319%38.155319%38.2%3,5081737.795276%37.795276%37.8%961836.244541%36.244541%36.2%831935.096154%35.096154%35.1%732035.070278%35.070278%35.1%1,0232134.585290%34.585290%34.6%1,3262234.240609%34.240609%34.2%1,253,9371.25M32.167832%32.167832%32.2%922331.447341%31.447341%31.4%5,9362430.616372%30.616372%30.6%6,9642530.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.007985%27.007985%27.0%3,4502625.949367%25.949367%25.9%822724.811083%24.811083%24.8%1972819.499305%19.499305%19.5%7012919.350232%19.350232%19.4%5423017.770035%17.770035%17.8%408312.580645%2.580645%2.6%1232
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
0%5%10%Count#DellwoodBaytown TownshipBaytownWest Lakeland TownshipW LakelandBirchwood VillageBirchwood VlgAftonMay TownshipMahtomediLakeland ShoresLakeland ShrsWoodburyMarine on St. CroixStillwater TownshipStillwaterPine SpringsLakelandGrantStillwaterDenmark TownshipDenmarkLake ElmoWashington CountyWashingtonSt. Marys PointSt. Marys PtMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisGrey Cloud Island TownshipGrey Cloud IsOak Park HeightsOak Pk HtsMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestWillernieForest LakeHugoScandiaBayportOakdaleCottage GroveSt. Paul ParkLake St. Croix BeachLk St. Croix BchNewportLandfallWhite Bear LakeWhite Bear Lk11.552795%11.552795%11.6%93110.931174%10.931174%10.9%135210.272026%10.272026%10.3%25339.212481%9.212481%9.2%6249.168925%9.168925%9.2%20357.833257%7.833257%7.8%17167.446201%7.446201%7.4%39177.423581%7.423581%7.4%1787.214222%7.214222%7.2%3,14197.118056%7.118056%7.1%41107.084871%7.084871%7.1%96116.896552%6.896552%6.9%20126.536439%6.536439%6.5%87136.057661%6.057661%6.1%187145.184439%5.184439%5.2%669154.795597%4.795597%4.8%61164.721183%4.721183%4.7%265174.495240%4.495240%4.5%7,4794.330709%4.330709%4.3%11183.980678%3.980678%4.0%93,14593.1k3.846154%3.846154%3.8%8193.468962%3.468962%3.5%133203.458748%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%1,311,0191.31M2.848101%2.848101%2.8%9212.403319%2.403319%2.4%307222.316728%2.316728%2.3%213232.194035%2.194035%2.2%64241.785077%1.785077%1.8%50251.769443%1.769443%1.8%334261.653038%1.653038%1.7%376271.446453%1.446453%1.4%52281.133501%1.133501%1.1%9290.827526%0.827526%0.8%19300.430108%0.430108%0.4%2310.000000%0.000000%0.0%032
Count number of people in category
# rank of county subdivision out of 32 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
Female
Male
10x5x0x5x10xFM#GrantBayportBirchwood VlgBaytownLk St. Croix BchMahtomediWillernieNewportMay TownshipMarine on St. CroixStillwaterDenmarkGrey Cloud IsHugoLakelandForest LakeWest North CentralMinnesotaMidwestUnited StatesWashingtonMinneapolisWhite Bear LkCottage GroveLandfallAftonWoodburyOakdaleLake ElmoOak Pk HtsStillwaterSt. Paul ParkSt. Marys PtDellwoodScandiaW LakelandLakeland ShrsPine Springs-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.556%1.56%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.291%12.3%2-1.000000x-1.000000x5.196970x5.196970x5.20x0.583%0.58%3.030%3.03%3-1.000000x-1.000000x4.188429x4.188429x4.19x0.494%0.49%2.070%2.07%4-1.000000x-1.000000x3.333333x3.333333x3.33x2.267%2.27%7.557%7.56%5-1.000000x-1.000000x2.332049x2.332049x2.33x1.513%1.51%3.528%3.53%6-1.000000x-1.000000x2.314451x2.314451x2.31x3.497%3.50%8.092%8.09%7-1.000000x-1.000000x2.056571x2.056571x2.06x4.250%4.25%8.739%8.74%8-1.000000x-1.000000x1.931926x1.931926x1.93x0.956%0.96%1.847%1.85%9-1.000000x-1.000000x1.931741x1.931741x1.93x1.413%1.41%2.730%2.73%10-1.000000x-1.000000x1.880234x1.880234x1.88x1.988%1.99%3.739%3.74%11-1.000000x-1.000000x1.785801x1.785801x1.79x2.446%2.45%4.369%4.37%12-1.000000x-1.000000x1.649123x1.649123x1.65x3.191%3.19%5.263%5.26%13-1.000000x-1.000000x1.607476x1.607476x1.61x2.329%2.33%3.744%3.74%14-1.000000x-1.000000x1.321003x1.321003x1.32x3.377%3.38%4.462%4.46%15-1.000000x-1.000000x1.181826x1.181826x1.18x3.887%3.89%4.594%4.59%16-1.000000x-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%-1.000000x-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.056536x1.056536x1.06x25.294%25.3%26.724%26.7%17-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%18-1.000000x-1.000000x1.015089x1.015089x1.02x32.432%32.4%32.922%32.9%19-1.037037x-1.037037x1.04x1.000000x1.000000x2.439%2.44%2.352%2.35%20-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%21-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%22-1.236829x-1.236829x1.24x1.000000x1.000000x5.579%5.58%4.510%4.51%23-1.256014x-1.256014x1.26x1.000000x1.000000x5.719%5.72%4.553%4.55%24-1.271533x-1.271533x1.27x1.000000x1.000000x1.898%1.90%1.493%1.49%25-1.559145x-1.559145x1.56x1.000000x1.000000x10.653%10.7%6.833%6.83%26-1.572581x-1.572581x1.57x1.000000x1.000000x2.419%2.42%1.538%1.54%27-1.644578x-1.644578x1.64x1.000000x1.000000x1.687%1.69%1.026%1.03%28-1.806603x-1.806603x1.81x1.000000x1.000000x4.575%4.58%2.532%2.53%29-2.115913x-2.115913x2.12x1.000000x1.000000x2.547%2.55%1.204%1.20%30-3.389356x-3.389356x3.39x1.000000x1.000000x9.244%9.24%2.727%2.73%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.676%0.68%0.000%0%32
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 32 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 Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
Female
Male
5x0x5x10xFM#Oak Pk HtsNewportLandfallWillernieSt. Marys PtMay TownshipBirchwood VlgDellwoodForest LakeGrey Cloud IsOakdaleLk St. Croix BchW LakelandStillwaterStillwaterLakelandGrantWashingtonWoodburyMidwestWest North CentralPine SpringsUnited StatesAftonBaytownCottage GroveMinnesotaMinneapolisDenmarkMarine on St. CroixMahtomediHugoLake ElmoBayportScandiaLakeland ShrsSt. Paul Park-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.296%7.30%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.597%1.60%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.823%0.82%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.202%5.20%4-1.000000x-1.000000x9.538462x9.538462x9.54x0.806%0.81%7.692%7.69%5-1.000000x-1.000000x3.331764x3.331764x3.33x3.537%3.54%11.785%11.8%6-1.000000x-1.000000x2.988258x2.988258x2.99x4.665%4.66%13.939%13.9%7-1.000000x-1.000000x2.894359x2.894359x2.89x6.024%6.02%17.436%17.4%8-1.000000x-1.000000x2.484698x2.484698x2.48x1.388%1.39%3.449%3.45%9-1.000000x-1.000000x2.473684x2.473684x2.47x2.128%2.13%5.263%5.26%10-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%11-1.000000x-1.000000x2.000000x2.000000x2.00x0.756%0.76%1.511%1.51%12-1.000000x-1.000000x1.965079x1.965079x1.97x6.902%6.90%13.563%13.6%13-1.000000x-1.000000x1.960266x1.960266x1.96x3.518%3.52%6.896%6.90%14-1.000000x-1.000000x1.951832x1.951832x1.95x4.818%4.82%9.403%9.40%15-1.000000x-1.000000x1.714406x1.714406x1.71x4.846%4.85%8.308%8.31%16-1.000000x-1.000000x1.649500x1.649500x1.65x4.527%4.53%7.467%7.47%17-1.000000x-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%18-1.000000x-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-1.000000x1.563380x1.563380x1.56x5.405%5.41%8.451%8.45%19-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519481x1.519481x1.52x7.223%7.22%10.976%11.0%20-1.000000x-1.000000x1.495433x1.495433x1.50x8.731%8.73%13.057%13.1%21-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%22-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.424571x1.424571x1.42x3.976%3.98%5.663%5.66%23-1.000000x-1.000000x1.363582x1.363582x1.36x6.007%6.01%8.191%8.19%24-1.000000x-1.000000x1.222754x1.222754x1.22x6.756%6.76%8.261%8.26%25-1.000000x-1.000000x1.107235x1.107235x1.11x2.201%2.20%2.437%2.44%26-1.074450x-1.074450x1.07x1.000000x1.000000x4.886%4.89%4.547%4.55%27-1.136524x-1.136524x1.14x1.000000x1.000000x1.956%1.96%1.721%1.72%28-1.437908x-1.437908x1.44x1.000000x1.000000x2.614%2.61%1.818%1.82%29-1.694678x-1.694678x1.69x1.000000x1.000000x9.244%9.24%5.455%5.45%30-8.690471x-8.690471x8.69x1.000000x1.000000x2.516%2.52%0.290%0.29%31
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 31 by male-to-female sex ratio

Educational Attainment by County in the Minneapolis Area

There are 16 counties in the Minneapolis Area. This section compares Washington County to all of the counties in the Minneapolis Area and to those entities that contain or substantially overlap with Washington County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Washington County, selected other counties in the Minneapolis Area, and entities that contain Washington County
0%5%10%Count#United States of AmericaUnited StatesSibley CountySibleyMidwestMille Lacs CountyMille LacsRamsey CountyRamseyLe Sueur CountyLe SueurWest North CentralIsanti CountyIsantiMinnesotaHennepin CountyHennepinMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisAnoka CountyAnokaChisago CountyChisagoWright CountyWrightSherburne CountySherburneDakota CountyDakotaPierce CountyPierceScott CountyScottCarver CountyCarverSt. Croix CountySt. CroixWashington CountyWashington13.020590%13.020590%13.0%27,818,38027.8M10.249902%10.249902%10.2%1,050110.244520%10.244520%10.2%4,641,8354.64M10.124655%10.124655%10.1%1,79529.707847%9.707847%9.7%33,97334.0k39.236394%9.236394%9.2%1,74349.174633%9.174633%9.2%1,278,0511.28M8.835464%8.835464%8.8%2,30857.376055%7.376055%7.4%270,121270k7.173605%7.173605%7.2%59,66059.7k66.766618%6.766618%6.8%158,334158k6.524509%6.524509%6.5%15,00215.0k76.245958%6.245958%6.2%2,31885.768514%5.768514%5.8%4,79995.536456%5.536456%5.5%3,237105.344224%5.344224%5.3%14,71514.7k115.314614%5.314614%5.3%1,359125.103301%5.103301%5.1%4,545134.267072%4.267072%4.3%2,665144.242959%4.242959%4.2%2,454154.033635%4.033635%4.0%6,71116
Count number of people in category
# rank of county out of 16 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected other counties in the Minneapolis Area, and entities that contain Washington County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonRamsey CountyRamseyDakota CountyDakotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisScott CountyScottMinnesotaSt. Croix CountySt. CroixUnited States of AmericaUnited StatesWest North CentralMidwestAnoka CountyAnokaPierce CountyPierceWright CountyWrightSherburne CountySherburneChisago CountyChisagoLe Sueur CountyLe SueurIsanti CountyIsantiSibley CountySibleyMille Lacs CountyMille Lacs47.581343%47.581343%47.6%395,715396k146.042751%46.042751%46.0%28,75628.8k242.301173%42.301173%42.3%70,37970.4k341.002246%41.002246%41.0%143,489143k440.723604%40.723604%40.7%112,130112k539.983752%39.983752%40.0%935,591936k38.846845%38.846845%38.8%34,59734.6k634.240609%34.240609%34.2%1,253,9371.25M33.399035%33.399035%33.4%19,31719.3k730.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.225614%28.225614%28.2%64,90064.9k827.816667%27.816667%27.8%7,113926.760665%26.760665%26.8%22,26322.3k1026.715925%26.715925%26.7%15,62015.6k1122.030610%22.030610%22.0%8,1761221.366117%21.366117%21.4%4,0321317.690070%17.690070%17.7%4,6211416.731745%16.731745%16.7%1,7141515.618478%15.618478%15.6%2,76916
Count number of people in category
# rank of county out of 16 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#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 Washington County, selected other counties in the Minneapolis Area, and entities that contain Washington County
0%1%2%3%4%5%Count#Ramsey CountyRamseyHennepin CountyHennepinWashington CountyWashingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisMinnesotaUnited States of AmericaUnited StatesDakota CountyDakotaWest North CentralMidwestCarver CountyCarverSt. Croix CountySt. CroixScott CountyScottWright CountyWrightPierce CountyPierceAnoka CountyAnokaChisago CountyChisagoSherburne CountySherburneLe Sueur CountyLe SueurSibley CountySibleyIsanti CountyIsantiMille Lacs CountyMille Lacs5.718752%5.718752%5.7%20,01320.0k15.193709%5.193709%5.2%43,19443.2k24.495240%4.495240%4.5%7,47933.980678%3.980678%4.0%93,14593.1k3.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.172758%3.172758%3.2%8,73642.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.826035%2.826035%2.8%1,76552.636720%2.636720%2.6%1,52562.107568%2.107568%2.1%1,87771.852319%1.852319%1.9%1,54181.849752%1.849752%1.8%47391.760513%1.760513%1.8%4,048101.681397%1.681397%1.7%624111.655635%1.655635%1.7%968121.626835%1.626835%1.6%307131.561890%1.561890%1.6%160141.002986%1.002986%1.0%262150.975802%0.975802%1.0%17316
Count number of people in category
# rank of county out of 16 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#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 Washington County, selected other counties in the Minneapolis Area, and entities that contain Washington County
Female
Male
1x0x1xFM#SherburneChisagoPierceMille LacsWrightIsantiCarverAnokaLe SueurSibleyWest North CentralMinnesotaMidwestScottUnited StatesWashingtonMinneapolisSt. CroixRamseyDakotaHennepin-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-1.000000x1.493476x1.493476x1.49x4.256%4.26%6.357%6.36%3-1.000000x-1.000000x1.369736x1.369736x1.37x8.563%8.56%11.728%11.7%4-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%5-1.000000x-1.000000x1.308424x1.308424x1.31x7.652%7.65%10.011%10.0%6-1.000000x-1.000000x1.261501x1.261501x1.26x3.783%3.78%4.772%4.77%7-1.000000x-1.000000x1.199939x1.199939x1.20x5.938%5.94%7.125%7.13%8-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%9-1.000000x-1.000000x1.182655x1.182655x1.18x9.395%9.40%11.111%11.1%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-1.000000x1.117122x1.117122x1.12x4.825%4.83%5.390%5.39%11-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%12-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.019047x1.019047x1.02x4.203%4.20%4.283%4.28%13-1.000000x-1.000000x1.006778x1.006778x1.01x9.677%9.68%9.742%9.74%14-1.000000x-1.000000x1.003455x1.003455x1.00x5.335%5.34%5.354%5.35%15-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%16
F percentage of females in category
M percentage of males in category
# rank of county out of 16 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 Washington County, selected other counties in the Minneapolis Area, and entities that contain Washington County
Female
Male
1x0x1x2xFM#SibleySt. CroixWashingtonMidwestWest North CentralWrightMille LacsUnited StatesAnokaRamseyMinnesotaMinneapolisHennepinPierceScottDakotaCarverIsantiChisagoSherburneLe Sueur-1.000000x-1.000000x2.830445x2.830445x2.83x0.817%0.82%2.312%2.31%1-1.000000x-1.000000x1.774639x1.774639x1.77x1.907%1.91%3.384%3.38%2-1.000000x-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%3-1.000000x-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-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%4-1.000000x-1.000000x1.547391x1.547391x1.55x0.768%0.77%1.189%1.19%5-1.000000x-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%6-1.000000x-1.000000x1.500145x1.500145x1.50x4.618%4.62%6.928%6.93%7-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%8-1.000000x-1.000000x1.403843x1.403843x1.40x1.537%1.54%2.158%2.16%9-1.000000x-1.000000x1.366530x1.366530x1.37x1.785%1.79%2.440%2.44%10-1.000000x-1.000000x1.360675x1.360675x1.36x2.703%2.70%3.678%3.68%11-1.000000x-1.000000x1.325915x1.325915x1.33x2.437%2.44%3.232%3.23%12-1.000000x-1.000000x1.309730x1.309730x1.31x0.868%0.87%1.137%1.14%13-1.000000x-1.000000x1.251393x1.251393x1.25x1.489%1.49%1.864%1.86%14-1.000000x-1.000000x1.207534x1.207534x1.21x1.498%1.50%1.809%1.81%15-1.000000x-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%16
F percentage of females in category
M percentage of males in category
# rank of county out of 16 by male-to-female sex ratio

Educational Attainment by County in Minnesota

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

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 Washington County, selected other counties in Minnesota, and entities that contain Washington 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 CountyWabashaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisGoodhue 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%1,025316.766618%6.766618%6.8%158,334158k6.738113%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected other counties in Minnesota, and entities that contain Washington County
0%10%20%30%40%Count#Hennepin CountyHennepinCarver CountyCarverWashington CountyWashingtonOlmsted CountyOlmstedRamsey CountyRamseyDakota CountyDakotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisScott 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%112,130112k639.983752%39.983752%40.0%935,591936k38.846845%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#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 Washington County, selected other counties in Minnesota, and entities that contain Washington County
0%2%4%6%Count#Olmsted CountyOlmstedRamsey CountyRamseyHennepin CountyHennepinWashington CountyWashingtonNicollet CountyNicolletMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisMinnesotaBeltrami 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%86753.980678%3.980678%4.0%93,14593.1k3.458748%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#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 Washington County, selected other counties in Minnesota, and entities that contain Washington County
Female
Male
1x0x1xFM#SherburneChisagoClayGoodhueBeckerBeltramiToddItascaSteeleWasecaHubbardWabashaMille LacsMowerPineMeekerNicolletWrightIsantiDouglasFreebornMartinNoblesCarltonCarverCassFillmoreRiceMcLeodWinonaMorrisonCrow WingAnokaKandiyohiDodgeLe SueurOtter TailWest North CentralMinnesotaMidwestScottBlue EarthUnited StatesStearnsSt. LouisWashingtonMinneapolisBentonOlmstedPolkRamseyDakotaHennepinLyonBrown-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-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-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#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 Washington County, selected other counties in Minnesota, and entities that contain Washington County
Female
Male
1x0x1x2x3xFM#MartinOtter TailMeekerKandiyohiCassBrownWasecaWinonaPolkDouglasFillmoreBeckerOlmstedWabashaNoblesSteeleWashingtonClayFreebornBlue EarthMowerMidwestHubbardWest North CentralWrightGoodhueMille LacsUnited StatesAnokaRamseyPineSt. LouisCrow WingMinnesotaBentonMinneapolisHennepinStearnsItascaScottDakotaLyonCarverIsantiToddNicolletChisagoBeltramiRiceSherburneMcLeodLe 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-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-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 Washington County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Washington County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington 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 CountyWakeKing CountyKingMinnesotaMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisOakland CountyOaklandAllegheny CountyAlleghenyWashington CountyWashington28.837398%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%50,50850.5k447.543133%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%48,46648.5k486.766618%6.766618%6.8%158,334158k6.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k504.033635%4.033635%4.0%6,711
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington 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. LouisWashington CountyWashingtonContra Costa CountyContra CostaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisAllegheny 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 CountyPhiladelphiaClark 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%291,365291k1742.301173%42.301173%42.3%70,37970.4k40.269631%40.269631%40.3%303,182303k1839.983752%39.983752%40.0%935,591936k39.069581%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%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington 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 DiegoWashington CountyWashingtonPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisHonolulu 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 CountyQueensFresno 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%102,662103k194.495240%4.495240%4.5%7,4794.475020%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%27,43827.4k253.980678%3.980678%4.0%93,14593.1k3.970725%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%44,96545.0k432.392530%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#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralMinnesotaHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaWashingtonSan BernardinoTarrantCookMaricopaCuyahogaTravisMinneapolisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-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-1.000000x1.087828x1.087828x1.09x3.869%3.87%4.208%4.21%-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-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaWashingtonSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoMinnesotaOrangeFresnoHillsboroughHarrisMinneapolisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%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-1.000000x1.649216x1.649216x1.65x3.417%3.42%5.636%5.64%-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-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-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:
Afton, Bayport, Birchwood Village, Cottage Grove, Dellwood, Forest Lake, Grant, Hastings, Hugo, Lake Elmo, Lake St. Croix Beach, Lakeland, Lakeland Shores, Landfall, Mahtomedi, Marine on St. Croix, Newport, Oak Park Heights, Oakdale, Pine Springs, Scandia, St. Marys Point, St. Paul Park, Stillwater, White Bear Lake, Willernie, Woodbury
Townships:
Baytown, Denmark, Grey Cloud Island, May, Stillwater, West Lakeland
ZIP Codes:
55001, 55003, 55016, 55025, 55033, 55038, 55042, 55043, 55045, 55047, 55055, 55071, 55073, 55082, 55090, 55110, 55115, 55125, 55128, 55129
Unified School Districts:
Chisago Lakes, Forest Lake, Hastings, Mahtomedi, North St. Paul-Maplewood, South Washington County, Stillwater Area, White Bear Lake
Congressional Districts:
MN-2, MN-4, MN-6
State Senate Districts:
MN-38, MN-39, MN-43, MN-53, MN-54
State House Districts:
MN-38A, MN-38B, MN-39A, MN-39B, MN-43A, MN-43B, MN-53A, MN-53B, MN-54A, MN-54B
Neighboring Counties:
Anoka, Chisago, Dakota, Pierce, Polk, Ramsey, St. Croix
Nearby Counties:
Goodhue, Hennepin, Isanti, Le Sueur, Rice, Scott, Sherburne, Wabasha