Educational Attainment in the Town of Dairyland, Douglas County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Douglas County and the Town of Dairyland
Town of Dairyland
Douglas County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma216.363636%35.271898%16.363636%16.4%2771.515152%58.300228%71.515152%71.5%11812.121212%6.427874%12.121212%12.1%20
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 Douglas County at large.
Scope: population of Douglas County and the Town of Dairyland
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-53.607157%-53.607157%-53.6%16.364%16.4%35.272%35.3%22.667019%22.667019%+22.7%71.515%71.5%58.300%58.3%88.572657%88.572657%+88.6%12.121%12.1%6.428%6.43%
% percentage with given level in the Town of Dairyland
ref. percentage with given level in Douglas County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Douglas County and the Town of Dairyland
Town of Dairyland
Douglas County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.534028%03.030303%1.015956%3.030303%3.0%52.424242%5.457506%2.424242%2.4%43.636364%15.770107%3.636364%3.6%67.272727%12.494302%7.272727%7.3%1225.454545%25.418430%25.454545%25.5%4246.060606%32.881797%46.060606%46.1%7611.515152%4.858352%11.515152%11.5%190.606061%0.980137%0.606061%0.6%10.000000%0.000000%0.0%0.589385%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Douglas County at large.
Scope: population of Douglas County and the Town of Dairyland
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.534%0.53%198.271173%198.271173%+198.3%3.030%3.03%1.016%1.02%-55.579663%-55.579663%-55.6%2.424%2.42%5.458%5.46%-76.941415%-76.941415%-76.9%3.636%3.64%15.770%15.8%-41.791646%-41.791646%-41.8%7.273%7.27%12.494%12.5%0.142082%0.142082%+0.1%25.455%25.5%25.418%25.4%40.079344%40.079344%+40.1%46.061%46.1%32.882%32.9%137.017629%137.017629%+137.0%11.515%11.5%4.858%4.86%-38.165710%-38.165710%-38.2%0.606%0.61%0.980%0.98%-100.000000%-100.000000%-100.0%0.000%0%0.589%0.59%
% percentage with given level in the Town of Dairyland
ref. percentage with given level in Douglas County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Douglas County and the Town of Dairyland
More Females More Males
Douglas County
Town of Dairyland
0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-22.805991%6.394810%6.394810%6%15.854%15.9%16.867%16.9%-12.064460%-12.064460%12%9.558649%75.610%75.6%67.470%67.5%83.476764%34.351937%83.476764%83%8.537%8.54%15.663%15.7%
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 Douglas County and the Town of Dairyland
More Females More Males
Douglas County
Town of Dairyland
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.348.192771%55.959580%48.192771%48%2.439%2.44%3.614%3.61%-203.658537%-37.217123%-203.658537%204%3.659%3.66%1.205%1.20%-406.097561%-17.275573%-406.097561%406%6.098%6.10%1.205%1.20%-35.770236%196.385542%196.385542%196%3.659%3.66%10.843%10.8%-34.959350%-34.959350%35%3.926622%29.268%29.3%21.687%21.7%-1.219512%-1.219512%1%14.127096%46.341%46.3%45.783%45.8%69.363167%50.814861%69.363167%69%8.537%8.54%14.458%14.5%1,000.000000%35.309613%1,000.000000%> 1000%0.000%0%1.205%1.20%
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 Douglas County and the Town of Dairyland
Town of Dairyland
Douglas County
0%5%10%15%B.X.Total65+45-6435-4425-341.449275%14.422266%1.449275%1.4%1696.896552%14.649432%6.896552%6.9%4585.263158%18.063754%5.263158%5.3%1190.000000%0.000000%0.0%17.898765%019
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 Douglas County at large.
Scope: population of Douglas County and the Town of Dairyland
100%80%60%40%20%0%%ref.65+45-6435-4425-34-89.951126%-89.951126%90.0%1.449%1.45%14.422%14.4%-52.922736%-52.922736%52.9%6.897%6.90%14.649%14.6%-70.863433%-70.863433%70.9%5.263%5.26%18.064%18.1%-100.000000%-100.000000%100.0%0.000%0%17.899%17.9%
% percentage in the Town of Dairyland with a Bachelor's degree
ref percentage in Douglas County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Douglas County and the Town of Dairyland
More Females More Males
Douglas County
Town of Dairyland
1,000%500%0%500%1,000%FM65+45-6435-441,000.000000%24.647037%1,000.000000%> 1000%0.000%0%2.941%2.94%-1,000.000000%-5.334656%-1,000.000000%> 1000%13.333%13.3%0.000%0%-1,000.000000%-79.449139%-1,000.000000%> 1000%10.000%10.0%0.000%0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Douglas County and the Town of Dairyland
Town of Dairyland
Douglas County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeH.S. Diploma2No H.S. Diploma2Total$46,250.000000$43,807.000000$46,250.000000$46.3k63.636%3.64%$30,625.000000$31,563.000000$30,625.000000$30.6k7646.061%46.1%$20,833.000000$18,657.000000$20,833.000000$20.8k2012.121%12.1%$30,313.000000$33,547.000000$30,313.000000$30.3k165100.000%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 Douglas County and the Town of Dairyland
Female Male
Douglas County
Town of Dairyland
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMH.S. Diploma2Total$-26,250.000000$-23,915.000000$-26,250.000000$26.3k$26,250.000000$5,625.000000$23,915.000000$16,671.000000$31,875.000000$31.9k3838$-26,875.000000$-28,819.000000$-26,875.000000$26.9k$26,875.000000$3,958.000000$28,819.000000$12,283.000000$30,833.000000$30.8k8283
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Douglas County and the Town of Dairyland
Town of Dairyland
Douglas County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.888889%82.126320%88.888889%88.9%886.486486%76.000000%86.486486%86.5%3274.358974%68.387185%74.358974%74.4%2963.636364%50.684932%63.636364%63.6%7
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Douglas County and the Town of Dairyland
Female Male
Douglas County
Town of Dairyland
Shaded bar tips show excess over facing bar.
5%0%5%10%15%MFWhite1-8.641975%-5.106006%-8.641975%8.6%8.641975%7.020675%5.106006%1.885875%15.662651%15.7%137
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Douglas County and the Town of Dairyland
Female Male
Douglas County
Town of Dairyland
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-6.024096%-6.321583%-21.423572%-2.845294%-12.345679%12.3%6.024096%21.423572%6.024096%6.0%510
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Duluth Area

There are 164 county subdivisions in the Duluth Area. This section compares the Town of Dairyland to the 50 most populous county subdivisions in the Duluth Area and to those entities that contain or substantially overlap with the Town of Dairyland. The least populous of the compared county subdivisions has a population of 887.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Dairyland, selected other county subdivisions in the Duluth Area, and entities that contain the Town of Dairyland
0%5%10%Count#United States of AmericaUnited StatesTown of DairylandDairylandBabbittEast North CentralHibbingTown of HawthorneHawthorneMidwestWhite TownshipWhiteMakinenEvelethTown of ParklandParklandMountain IronWisconsinBarnum TownshipBarnumCarltonWebster School DistrictWebsterBrevator TownshipBrevatorTown of OaklandOaklandMoose LakeScanlonClinton TownshipClintonHoyt LakesPerch Lake TownshipPerch Lk030300Tract 030300DuluthDouglas CountyDouglasSand LakeDuluth Metro AreaDuluth AreaSuperiorVirginiaProctorTown of Solon SpringsSolon SpgsGnesen TownshipGnesenCloquetGreenwood TownshipGreenwoodGrand Lake TownshipGrand LkHermantownLakewood TownshipLakewoodMoose Lake TownshipMoose LkElyBuhlTown of AmniconAmniconLake NebagamonLk NebagamonTwin Lakes TownshipTwin LksChisholmRice LakeSolway TownshipSolwayMidway TownshipMidwayTown of SuperiorSuperiorBiwabikBlackhoof TownshipBlackhoofCanosia TownshipCanosiaFredenberg TownshipFredenbergTown of SummitSummitFayal TownshipFayalGilbertMorse TownshipMorseThomson TownshipThomsonDuluth TownshipDuluth13.020590%13.020590%13.0%27,818,38027.8M12.121212%12.121212%12.1%2011.486486%11.486486%11.5%136110.719464%10.719464%10.7%3,363,7843.36M10.569327%10.569327%10.6%1,164210.457516%10.457516%10.5%80310.244520%10.244520%10.2%4,641,8354.64M9.618644%9.618644%9.6%22749.617021%9.617021%9.6%11359.533552%9.533552%9.5%23369.489051%9.489051%9.5%9179.343936%9.343936%9.3%18888.637220%8.637220%8.6%336,096336k8.558559%8.558559%8.6%5798.483290%8.483290%8.5%66108.365019%8.365019%8.4%3747.955936%7.955936%8.0%65117.777778%7.777778%7.8%70127.705334%7.705334%7.7%182137.701422%7.701422%7.7%65147.244502%7.244502%7.2%56156.839187%6.839187%6.8%111166.736527%6.736527%6.7%45176.542770%6.542770%6.5%2576.456536%6.456536%6.5%3,427186.427874%6.427874%6.4%1,9746.413994%6.413994%6.4%44196.391349%6.391349%6.4%12,23412.2k6.289585%6.289585%6.3%1,142206.262525%6.262525%6.3%375216.194690%6.194690%6.2%140226.143791%6.143791%6.1%47235.942142%5.942142%5.9%76245.808147%5.808147%5.8%442255.519481%5.519481%5.5%51265.489260%5.489260%5.5%115275.399441%5.399441%5.4%367285.273312%5.273312%5.3%82295.162065%5.162065%5.2%43305.097879%5.097879%5.1%125314.987531%4.987531%5.0%40324.648391%4.648391%4.6%39334.529201%4.529201%4.5%38344.462475%4.462475%4.5%66354.375729%4.375729%4.4%150364.325956%4.325956%4.3%129374.216444%4.216444%4.2%60384.209542%4.209542%4.2%45394.113111%4.113111%4.1%64403.852327%3.852327%3.9%24413.795620%3.795620%3.8%26423.525836%3.525836%3.5%58433.399433%3.399433%3.4%36443.274216%3.274216%3.3%24453.232607%3.232607%3.2%46462.613374%2.613374%2.6%34471.979265%1.979265%2.0%21481.760970%1.760970%1.8%61491.720269%1.720269%1.7%2350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Dairyland, selected other county subdivisions in the Duluth Area, and entities that contain the Town of Dairyland
0%10%20%30%40%Count#Lakewood TownshipLakewoodMorse TownshipMorseLake NebagamonLk NebagamonDuluth TownshipDuluthGnesen TownshipGnesenDuluthSand LakeFredenberg TownshipFredenbergFayal TownshipFayalCanosia TownshipCanosiaHermantownTown of AmniconAmniconGreenwood TownshipGreenwoodThomson TownshipThomsonUnited States of AmericaUnited StatesMidwestTown of Solon SpringsSolon SpgsEast North CentralWisconsinDuluth Metro AreaDuluth AreaElyBlackhoof TownshipBlackhoofTwin Lakes TownshipTwin LksMidway TownshipMidwayCloquetBarnum TownshipBarnumGrand Lake TownshipGrand LkMoose Lake TownshipMoose LkEvelethTown of OaklandOaklandDouglas CountyDouglasProctorSuperiorMountain Iron030300Tract 030300ChisholmMakinenBiwabikRice LakeTown of SuperiorSuperiorBrevator TownshipBrevatorPerch Lake TownshipPerch LkTown of ParklandParklandVirginiaWebster School DistrictWebsterSolway TownshipSolwayTown of SummitSummitTown of HawthorneHawthorneHibbingClinton TownshipClintonScanlonCarltonHoyt LakesGilbertWhite TownshipWhiteBuhlMoose LakeBabbittTown of DairylandDairyland44.180064%44.180064%44.2%687142.978322%42.978322%43.0%456240.882002%40.882002%40.9%343340.014959%40.014959%40.0%535438.467553%38.467553%38.5%492535.389427%35.389427%35.4%18,78418.8k634.402332%34.402332%34.4%236733.616619%33.616619%33.6%356833.099086%33.099086%33.1%471932.948328%32.948328%32.9%5421032.396646%32.396646%32.4%2,2021131.346841%31.346841%31.3%2631230.735931%30.735931%30.7%2841330.484988%30.484988%30.5%1,0561430.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.758170%28.758170%28.8%2201528.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M26.209545%26.209545%26.2%50,16950.2k26.141925%26.141925%26.1%6411626.131387%26.131387%26.1%1791725.693036%25.693036%25.7%3801825.350795%25.350795%25.4%2711925.085414%25.085414%25.1%1,9092024.924925%24.924925%24.9%1662124.821002%24.821002%24.8%5202224.369748%24.369748%24.4%2032324.345336%24.345336%24.3%5952424.111111%24.111111%24.1%2172522.777597%22.777597%22.8%6,99522.699115%22.699115%22.7%5132622.415597%22.415597%22.4%4,0702721.769384%21.769384%21.8%4382821.766802%21.766802%21.8%85521.586931%21.586931%21.6%7402920.936170%20.936170%20.9%2463020.545746%20.545746%20.5%1283119.986586%19.986586%20.0%5963219.922879%19.922879%19.9%3103319.706242%19.706242%19.7%1613419.610778%19.610778%19.6%1313519.186653%19.186653%19.2%1843618.904476%18.904476%18.9%1,1323718.564080%18.564080%18.6%83018.341532%18.341532%18.3%2613818.144611%18.144611%18.1%1333917.777778%17.777778%17.8%1364017.697267%17.697267%17.7%1,9494117.464424%17.464424%17.5%1354217.180095%17.180095%17.2%1454316.709512%16.709512%16.7%1304415.403574%15.403574%15.4%2504514.066103%14.066103%14.1%1834613.855932%13.855932%13.9%3274712.967581%12.967581%13.0%1044812.150720%12.150720%12.2%287499.628378%9.628378%9.6%114509.090909%9.090909%9.1%15
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Dairyland, selected other county subdivisions in the Duluth Area, and entities that contain the Town of Dairyland
0%2%4%6%8%Count#Duluth TownshipDuluthGnesen TownshipGnesenLakewood TownshipLakewoodMorse TownshipMorseDuluthCanosia TownshipCanosiaFredenberg TownshipFredenbergHermantownMidway TownshipMidwayBarnum TownshipBarnumGrand Lake TownshipGrand LkUnited States of AmericaUnited StatesTown of OaklandOaklandFayal TownshipFayalTown of DairylandDairylandMidwestLake NebagamonLk NebagamonEast North CentralWisconsinDuluth Metro AreaDuluth AreaTown of Solon SpringsSolon SpgsBiwabikMoose Lake TownshipMoose LkGreenwood TownshipGreenwoodTown of ParklandParklandThomson TownshipThomsonPerch Lake TownshipPerch Lk030300Tract 030300Douglas CountyDouglasRice LakeSuperiorElySand LakeTown of HawthorneHawthorneProctorMountain IronCloquetWebster School DistrictWebsterVirginiaHibbingHoyt LakesEvelethTwin Lakes TownshipTwin LksSolway TownshipSolwayTown of SuperiorSuperiorTown of AmniconAmniconBlackhoof TownshipBlackhoofGilbertMakinenBrevator TownshipBrevatorWhite TownshipWhiteClinton TownshipClintonMoose LakeCarltonChisholmBabbittScanlonBuhlTown of SummitSummit8.526552%8.526552%8.5%11416.333073%6.333073%6.3%8125.787781%5.787781%5.8%9034.901037%4.901037%4.9%5244.278609%4.278609%4.3%2,27153.829787%3.829787%3.8%6363.682720%3.682720%3.7%3973.545682%3.545682%3.5%24183.461179%3.461179%3.5%3793.453453%3.453453%3.5%23103.436754%3.436754%3.4%72113.336158%3.336158%3.3%7,127,6737.13M3.222222%3.222222%3.2%29123.092059%3.092059%3.1%44133.030303%3.030303%3.0%52.893416%2.893416%2.9%1,311,0191.31M2.860548%2.860548%2.9%24142.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.399498%2.399498%2.4%4,5932.352941%2.352941%2.4%18152.086677%2.086677%2.1%13162.040816%2.040816%2.0%17171.948052%1.948052%1.9%18181.876955%1.876955%1.9%18191.876443%1.876443%1.9%65201.796407%1.796407%1.8%12211.756619%1.756619%1.8%691.549984%1.549984%1.5%4761.542589%1.542589%1.5%46221.525582%1.525582%1.5%277231.508972%1.508972%1.5%37241.457726%1.457726%1.5%10251.437908%1.437908%1.4%11261.415929%1.415929%1.4%32271.391650%1.391650%1.4%28281.353482%1.353482%1.4%103291.185417%1.185417%1.2%531.169005%1.169005%1.2%70301.135022%1.135022%1.1%125311.109057%1.109057%1.1%18321.063830%1.063830%1.1%26331.014199%1.014199%1.0%15340.983837%0.983837%1.0%14350.964010%0.964010%1.0%15360.953516%0.953516%1.0%8370.875912%0.875912%0.9%6380.845503%0.845503%0.8%11390.680851%0.680851%0.7%8400.611995%0.611995%0.6%5410.423729%0.423729%0.4%10420.388098%0.388098%0.4%3430.338696%0.338696%0.3%8440.257069%0.257069%0.3%2450.029172%0.029172%0.0%1460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in the Duluth Area, and entities that contain the Town of Dairyland
Female
Male
10x5x0x5x10xFM#ThomsonSand LakeMidwayMorseFayalLk NebagamonMoose LakeSummitDuluthSuperiorCanosiaFredenbergDairylandWebsterClintonVirginiaBarnumGnesenBabbittMoose LkMakinenHawthorneTwin LksTract 030300DouglasSolwayRice LakeSuperiorProctorDuluthBiwabikGrand LkWisconsinGreenwoodDuluth AreaMidwestEast North CentralUnited StatesCarltonCloquetOaklandBuhlHermantownEvelethSolon SpgsScanlonParklandBrevatorAmniconBlackhoofHibbingChisholmLakewoodWhiteElyMountain IronHoyt LakesPerch LkGilbert-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.559%3.56%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.139%11.1%2-1.000000x-1.000000x5.733275x5.733275x5.73x1.198%1.20%6.866%6.87%3-1.000000x-1.000000x5.090592x5.090592x5.09x0.616%0.62%3.136%3.14%4-1.000000x-1.000000x4.396482x4.396482x4.40x1.170%1.17%5.142%5.14%5-1.000000x-1.000000x2.727529x2.727529x2.73x2.415%2.42%6.588%6.59%6-1.000000x-1.000000x2.683824x2.683824x2.68x3.562%3.56%9.559%9.56%7-1.000000x-1.000000x2.628653x2.628653x2.63x1.837%1.84%4.830%4.83%8-1.000000x-1.000000x2.282298x2.282298x2.28x1.048%1.05%2.392%2.39%9-1.000000x-1.000000x2.100503x2.100503x2.10x2.632%2.63%5.528%5.53%10-1.000000x-1.000000x1.989247x1.989247x1.99x2.317%2.32%4.608%4.61%11-1.000000x-1.000000x1.905777x1.905777x1.91x2.277%2.28%4.340%4.34%12-1.000000x-1.000000x1.834768x1.834768x1.83x8.537%8.54%15.663%15.7%-1.000000x-1.000000x1.669572x1.669572x1.67x6.275%6.28%10.477%10.5%-1.000000x-1.000000x1.593659x1.593659x1.59x5.510%5.51%8.780%8.78%13-1.000000x-1.000000x1.484821x1.484821x1.48x5.107%5.11%7.582%7.58%14-1.000000x-1.000000x1.453762x1.453762x1.45x6.918%6.92%10.057%10.1%15-1.000000x-1.000000x1.449345x1.449345x1.45x4.851%4.85%7.031%7.03%16-1.000000x-1.000000x1.428619x1.428619x1.43x9.434%9.43%13.478%13.5%17-1.000000x-1.000000x1.393939x1.393939x1.39x4.348%4.35%6.061%6.06%18-1.000000x-1.000000x1.393926x1.393926x1.39x8.054%8.05%11.226%11.2%19-1.000000x-1.000000x1.385154x1.385154x1.39x8.786%8.79%12.169%12.2%20-1.000000x-1.000000x1.385136x1.385136x1.39x3.729%3.73%5.166%5.17%21-1.000000x-1.000000x1.360151x1.360151x1.36x5.511%5.51%7.496%7.50%-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%-1.000000x-1.000000x1.323413x1.323413x1.32x3.598%3.60%4.762%4.76%22-1.000000x-1.000000x1.288336x1.288336x1.29x3.763%3.76%4.848%4.85%23-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%24-1.000000x-1.000000x1.249189x1.249189x1.25x5.506%5.51%6.878%6.88%25-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%26-1.000000x-1.000000x1.235045x1.235045x1.24x3.425%3.42%4.230%4.23%27-1.000000x-1.000000x1.226087x1.226087x1.23x4.891%4.89%5.996%6.00%28-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214043x1.214043x1.21x4.966%4.97%6.029%6.03%29-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.036649x1.036649x1.04x8.333%8.33%8.639%8.64%30-1.000000x-1.000000x1.018960x1.018960x1.02x5.756%5.76%5.865%5.86%31-1.064220x-1.064220x1.06x1.000000x1.000000x8.028%8.03%7.543%7.54%32-1.078040x-1.078040x1.08x1.000000x1.000000x5.172%5.17%4.798%4.80%33-1.078221x-1.078221x1.08x1.000000x1.000000x5.625%5.63%5.217%5.22%34-1.124637x-1.124637x1.12x1.000000x1.000000x10.054%10.1%8.940%8.94%35-1.144565x-1.144565x1.14x1.000000x1.000000x6.522%6.52%5.698%5.70%36-1.173618x-1.173618x1.17x1.000000x1.000000x8.277%8.28%7.053%7.05%37-1.203743x-1.203743x1.20x1.000000x1.000000x10.381%10.4%8.624%8.62%38-1.269034x-1.269034x1.27x1.000000x1.000000x8.911%8.91%7.022%7.02%39-1.322183x-1.322183x1.32x1.000000x1.000000x5.301%5.30%4.009%4.01%40-1.338558x-1.338558x1.34x1.000000x1.000000x4.389%4.39%3.279%3.28%41-1.391439x-1.391439x1.39x1.000000x1.000000x12.219%12.2%8.781%8.78%42-1.569548x-1.569548x1.57x1.000000x1.000000x5.290%5.29%3.370%3.37%43-1.602475x-1.602475x1.60x1.000000x1.000000x6.436%6.44%4.016%4.02%44-1.634583x-1.634583x1.63x1.000000x1.000000x12.039%12.0%7.365%7.36%45-1.970142x-1.970142x1.97x1.000000x1.000000x6.641%6.64%3.371%3.37%46-2.054244x-2.054244x2.05x1.000000x1.000000x12.488%12.5%6.079%6.08%47-2.254260x-2.254260x2.25x1.000000x1.000000x9.699%9.70%4.302%4.30%48-2.295820x-2.295820x2.30x1.000000x1.000000x9.646%9.65%4.202%4.20%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.699%4.70%0.323%0.32%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in the Duluth Area, and entities that contain the Town of Dairyland
Female
Male
10x5x0x5x10xFM#ChisholmMountain IronHoyt LakesMakinenCarltonBlackhoofSand LakeLk NebagamonMoose LkHibbingFayalVirginiaFredenbergEvelethParklandTract 030300DuluthGreenwoodWebsterGnesenMorseDouglasAmniconEast North CentralMidwestSolwayWisconsinUnited StatesSuperiorDairylandSolon SpgsDuluthRice LakeDuluth AreaMidwayBarnumElyHermantownBiwabikOaklandLakewoodPerch LkGrand LkBrevatorTwin LksSuperiorCanosiaGilbertWhiteHawthorneCloquetThomsonProctorMoose LakeClinton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.061%0.06%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.837%2.84%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.093%2.09%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.382%1.38%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.524%0.52%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.639%1.64%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.532%2.53%7-1.000000x-1.000000x6.818824x6.818824x6.82x0.725%0.72%4.941%4.94%8-1.000000x-1.000000x5.149832x5.149832x5.15x0.686%0.69%3.535%3.54%9-1.000000x-1.000000x4.562744x4.562744x4.56x0.419%0.42%1.911%1.91%10-1.000000x-1.000000x3.599459x3.599459x3.60x1.316%1.32%4.736%4.74%11-1.000000x-1.000000x3.064378x3.064378x3.06x0.595%0.60%1.824%1.82%12-1.000000x-1.000000x2.795139x2.795139x2.80x1.863%1.86%5.208%5.21%13-1.000000x-1.000000x2.569457x2.569457x2.57x0.614%0.61%1.578%1.58%14-1.000000x-1.000000x2.519918x2.519918x2.52x1.059%1.06%2.669%2.67%15-1.000000x-1.000000x2.265140x2.265140x2.27x1.060%1.06%2.401%2.40%-1.000000x-1.000000x2.077970x2.077970x2.08x5.539%5.54%11.510%11.5%16-1.000000x-1.000000x1.841996x1.841996x1.84x1.354%1.35%2.495%2.49%17-1.000000x-1.000000x1.807980x1.807980x1.81x0.846%0.85%1.529%1.53%-1.000000x-1.000000x1.790302x1.790302x1.79x4.538%4.54%8.125%8.13%18-1.000000x-1.000000x1.746772x1.746772x1.75x3.491%3.49%6.098%6.10%19-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%-1.000000x-1.000000x1.631289x1.631289x1.63x0.723%0.72%1.179%1.18%20-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.588095x1.588095x1.59x0.750%0.75%1.190%1.19%21-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%22-1.000000x-1.000000x1.481928x1.481928x1.48x2.439%2.44%3.614%3.61%-1.000000x-1.000000x1.474359x1.474359x1.47x1.932%1.93%2.849%2.85%23-1.000000x-1.000000x1.465286x1.465286x1.47x3.496%3.50%5.123%5.12%24-1.000000x-1.000000x1.442936x1.442936x1.44x1.254%1.25%1.810%1.81%25-1.000000x-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-1.000000x-1.000000x1.293662x1.293662x1.29x2.994%2.99%3.873%3.87%26-1.000000x-1.000000x1.187931x1.187931x1.19x3.145%3.14%3.736%3.74%27-1.000000x-1.000000x1.181456x1.181456x1.18x1.390%1.39%1.642%1.64%28-1.000000x-1.000000x1.030529x1.030529x1.03x3.487%3.49%3.593%3.59%29-1.000000x-1.000000x1.029204x1.029204x1.03x2.055%2.05%2.115%2.11%30-1.000000x-1.000000x1.006773x1.006773x1.01x3.211%3.21%3.233%3.23%31-1.104896x-1.104896x1.10x1.000000x1.000000x6.064%6.06%5.489%5.49%32-1.147910x-1.147910x1.15x1.000000x1.000000x1.929%1.93%1.681%1.68%33-1.394570x-1.394570x1.39x1.000000x1.000000x4.058%4.06%2.910%2.91%34-1.533416x-1.533416x1.53x1.000000x1.000000x0.743%0.74%0.484%0.48%35-1.564227x-1.564227x1.56x1.000000x1.000000x1.243%1.24%0.795%0.79%36-1.571053x-1.571053x1.57x1.000000x1.000000x1.184%1.18%0.754%0.75%37-1.589744x-1.589744x1.59x1.000000x1.000000x4.762%4.76%2.995%3.00%38-1.593245x-1.593245x1.59x1.000000x1.000000x1.028%1.03%0.645%0.65%39-2.505565x-2.505565x2.51x1.000000x1.000000x0.615%0.62%0.245%0.25%40-2.604651x-2.604651x2.60x1.000000x1.000000x2.067%2.07%0.794%0.79%41-2.900081x-2.900081x2.90x1.000000x1.000000x1.978%1.98%0.682%0.68%42-3.264762x-3.264762x3.26x1.000000x1.000000x2.857%2.86%0.875%0.88%43-4.364121x-4.364121x4.36x1.000000x1.000000x2.309%2.31%0.529%0.53%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.096%1.10%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.826%0.83%0.000%0%46
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 46 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares the Town of Dairyland to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Dairyland. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Dairyland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Dairyland
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BayTown of DairylandDairylandSheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleWebster School DistrictWebsterMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest Bend030300Tract 030300Douglas CountyDouglasDuluth Metro AreaDuluth AreaSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414412.121212%12.121212%12.1%2011.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.365019%8.365019%8.4%3748.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.542770%6.542770%6.5%2576.427874%6.427874%6.4%1,9746.391349%6.391349%6.4%12,23412.2k6.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Dairyland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Dairyland
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonDuluth Metro AreaDuluth AreaWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaDouglas CountyDouglasSuperiorJanesville030300Tract 030300CudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamWebster School DistrictWebsterRacineBeloitWisconsin RapidsTown of DairylandDairyland63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783326.209545%26.209545%26.2%50,16950.2k25.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.777597%22.777597%22.8%6,99522.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.766802%21.766802%21.8%85521.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874718.564080%18.564080%18.6%83017.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,003509.090909%9.090909%9.1%15
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Dairyland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Dairyland
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereTown of DairylandDairylandGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauDuluth Metro AreaDuluth AreaTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenosha030300Tract 030300Wisconsin RapidsJanesvilleDouglas CountyDouglasOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisWebster School DistrictWebsterRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473183.030303%3.030303%3.0%52.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.399498%2.399498%2.4%4,5932.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.756619%1.756619%1.8%691.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549984%1.549984%1.5%4761.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.185417%1.185417%1.2%531.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Dairyland
Female
Male
1x0x1x2xFM#De PereMenashaDairylandOshkoshWebsterFranklinCaledoniaManitowocGreen BayPleasant PrairieTract 030300DouglasWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaDuluth AreaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.834768x1.834768x1.83x8.537%8.54%15.663%15.7%-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.669572x1.669572x1.67x6.275%6.28%10.477%10.5%-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.360151x1.360151x1.36x5.511%5.51%7.496%7.50%-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Dairyland
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleTract 030300SheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgWebsterSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisDouglasWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocDairylandFranklinLa CrosseS MilwaukeeMiddletonDuluth AreaMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.265140x2.265140x2.27x1.060%1.06%2.401%2.40%-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.807980x1.807980x1.81x0.846%0.85%1.529%1.53%-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.481928x1.481928x1.48x2.439%2.44%3.614%3.61%-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Dairyland, selected other county subdivisions in the Midwest, and entities that contain the Town of Dairyland
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleTown of DairylandDairylandColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineWebster School DistrictWebsterSchaumburg TownshipSchaumburgLincolnWashington TownshipWashington030300Tract 030300Douglas CountyDouglasOlatheDuluth Metro AreaDuluth AreaFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752612.121212%12.121212%12.1%2011.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.365019%8.365019%8.4%3747.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.542770%6.542770%6.5%2576.427874%6.427874%6.4%1,9746.424130%6.424130%6.4%5,331416.391349%6.391349%6.4%12,23412.2k6.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Dairyland, selected other county subdivisions in the Midwest, and entities that contain the Town of Dairyland
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoDuluth Metro AreaDuluth AreaWorth TownshipWorthMilwaukeeDouglas CountyDouglas030300Tract 030300Rockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonWebster School DistrictWebsterToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitTown of DairylandDairyland72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3426.209545%26.209545%26.2%50,16950.2k25.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3622.777597%22.777597%22.8%6,99521.766802%21.766802%21.8%85521.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.564080%18.564080%18.6%83018.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k509.090909%9.090909%9.1%15
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Dairyland, selected other county subdivisions in the Midwest, and entities that contain the Town of Dairyland
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceTown of DairylandDairylandSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaDuluth Metro AreaDuluth AreaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthCleveland030300Tract 030300ToledoNorth TownshipNDouglas CountyDouglasSterling HeightsSterling HtsKansas CityDetroitDaytonWebster School DistrictWebsterWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.030303%3.030303%3.0%52.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.399498%2.399498%2.4%4,5932.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.756619%1.756619%1.8%691.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.549984%1.549984%1.5%4761.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.185417%1.185417%1.2%531.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in the Midwest, and entities that contain the Town of Dairyland
Female
Male
1x0x1xFM#DairylandWebsterTract 030300DouglasCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipDuluth AreaWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.834768x1.834768x1.83x8.537%8.54%15.663%15.7%-1.000000x-1.000000x1.669572x1.669572x1.67x6.275%6.28%10.477%10.5%-1.000000x-1.000000x1.360151x1.360151x1.36x5.511%5.51%7.496%7.50%-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in the Midwest, and entities that contain the Town of Dairyland
Female
Male
1x0x1x2xFM#Tract 030300RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWebsterWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheDouglasOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborDairylandTopekaSterling HtsPalatineSchaumburgColumbusDuluth AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.265140x2.265140x2.27x1.060%1.06%2.401%2.40%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.807980x1.807980x1.81x0.846%0.85%1.529%1.53%-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481928x1.481928x1.48x2.439%2.44%3.614%3.61%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Dairyland, selected other county subdivisions in the United States, and entities that contain the Town of Dairyland
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonTown of DairylandDairylandAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleWisconsinNortheast TarrantNE TarrantWebster School DistrictWebster030300Tract 030300Douglas CountyDouglasDuluth Metro AreaDuluth AreaPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.121212%12.121212%12.1%2012.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k488.365019%8.365019%8.4%3746.542770%6.542770%6.5%2576.427874%6.427874%6.4%1,9746.391349%6.391349%6.4%12,23412.2k5.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Dairyland, selected other county subdivisions in the United States, and entities that contain the Town of Dairyland
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaDuluth Metro AreaDuluth AreaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeDouglas CountyDouglasFresno030300Tract 030300Las VegasEl PasoBronxWebster School DistrictWebsterSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitTown of DairylandDairyland60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.209545%26.209545%26.2%50,16950.2k26.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.777597%22.777597%22.8%6,99522.486319%22.486319%22.5%94,05694.1k4421.766802%21.766802%21.8%85521.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4718.564080%18.564080%18.6%83016.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k509.090909%9.090909%9.1%15
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Dairyland, selected other county subdivisions in the United States, and entities that contain the Town of Dairyland
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaTown of DairylandDairylandPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyDuluth Metro AreaDuluth AreaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio Cntrl030300Tract 030300El PasoSouthwest DallasSW DallasBronxDouglas CountyDouglasDetroitWebster School DistrictWebster12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.030303%3.030303%3.0%53.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.399498%2.399498%2.4%4,5932.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.756619%1.756619%1.8%691.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.549984%1.549984%1.5%4761.318660%1.318660%1.3%5,693501.185417%1.185417%1.2%53
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in the United States, and entities that contain the Town of Dairyland
Female
Male
1x0x1xFM#DairylandWebsterTract 030300Douglas1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasDuluth AreaMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.834768x1.834768x1.83x8.537%8.54%15.663%15.7%-1.000000x-1.000000x1.669572x1.669572x1.67x6.275%6.28%10.477%10.5%-1.000000x-1.000000x1.360151x1.360151x1.36x5.511%5.51%7.496%7.50%-1.000000x-1.000000x1.343519x1.343519x1.34x5.497%5.50%7.385%7.39%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Dairyland, selected other county subdivisions in the United States, and entities that contain the Town of Dairyland
Female
Male
1x0x1x2xFM#Tract 030300El PasoSalt Lk CityWebsterPlanoTulsaAlbuquerqueNE DallasFort WorthDouglasOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoDairylandNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusDuluth AreaMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.265140x2.265140x2.27x1.060%1.06%2.401%2.40%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.807980x1.807980x1.81x0.846%0.85%1.529%1.53%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.676561x1.676561x1.68x1.162%1.16%1.949%1.95%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481928x1.481928x1.48x2.439%2.44%3.614%3.61%-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Douglas
Metro Area:
Duluth Area
ZIP Codes:
54830, 54838
Unified School District:
Webster
Congressional District:
WI-7
State Senate District:
WI-25
Assembly District:
WI-73
Neighboring Towns:
Blaine, Gordon, Minong, Summit, Wascott
Neighboring Townships:
New Dosey, Nickerson
Nearby Towns:
Chicog, Oakland, Solon Springs, Swiss, Webb Lake
Nearby Townships:
Arna, Holyoke, Park, Wilma