Educational Attainment in the Town of Woodland, Sauk County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Sauk County and the Town of Woodland
Town of Woodland
Sauk County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.742660%32.832662%30.742660%30.7%17851.122625%58.055119%51.122625%51.1%29618.134715%9.112219%18.134715%18.1%105

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Sauk County at large.
Scope: population of Sauk County and the Town of Woodland
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-6.365619%-6.365619%-6.4%30.743%30.7%32.833%32.8%-11.941228%-11.941228%-11.9%51.123%51.1%58.055%58.1%99.015363%99.015363%+99.0%18.135%18.1%9.112%9.11%

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Sauk County and the Town of Woodland
Town of Woodland
Sauk County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.554404%0.755559%1.554404%1.6%91.381693%1.092374%1.381693%1.4%84.663212%5.209258%4.663212%4.7%2714.507772%15.265925%14.507772%14.5%848.635579%10.509547%8.635579%8.6%5018.480138%21.440113%18.480138%18.5%10732.642487%36.615006%32.642487%32.6%1893.799655%6.424524%3.799655%3.8%2214.335060%1.918482%14.335060%14.3%830.000000%0.000000%0.0%0.769213%0

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Sauk County at large.
Scope: population of Sauk County and the Town of Woodland
-500%0%+500%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None105.729134%105.729134%+105.7%1.554%1.55%0.756%0.76%26.485320%26.485320%+26.5%1.382%1.38%1.092%1.09%-10.482212%-10.482212%-10.5%4.663%4.66%5.209%5.21%-4.966307%-4.966307%-5.0%14.508%14.5%15.266%15.3%-17.831105%-17.831105%-17.8%8.636%8.64%10.510%10.5%-13.805780%-13.805780%-13.8%18.480%18.5%21.440%21.4%-10.849430%-10.849430%-10.8%32.642%32.6%36.615%36.6%-40.857024%-40.857024%-40.9%3.800%3.80%6.425%6.42%647.208649%647.208649%+647.2%14.335%14.3%1.918%1.92%-100.000000%-100.000000%-100.0%0.000%0%0.769%0.77%

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 Sauk County and the Town of Woodland
More Females More Males
Sauk County
Town of Woodland
40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-42.426082%-19.842170%-42.426082%42%36.531%36.5%25.649%25.6%27.253944%6.049342%27.253944%27%44.649%44.6%56.818%56.8%-7.339073%-7.339073%7%31.765663%18.819%18.8%17.532%17.5%

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 Sauk County and the Town of Woodland
More Females More Males
Sauk County
Town of Woodland
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%297.117814%1,000.000000%> 1000%0.000%0%2.922%2.92%163.961039%24.167834%163.961039%164%0.738%0.74%1.948%1.95%-127.306273%-60.080943%-127.306273%127%6.642%6.64%2.922%2.92%-59.114391%-11.710018%-59.114391%59%18.081%18.1%11.364%11.4%-70.479705%-33.202793%-70.479705%70%11.070%11.1%6.494%6.49%-7.453875%-2.752884%-7.453875%7%19.188%19.2%17.857%17.9%53.020892%11.520503%53.020892%53%25.461%25.5%38.961%39.0%27.092352%46.554326%27.092352%27%3.321%3.32%4.221%4.22%-16.425164%-2.333159%-16.425164%16%15.498%15.5%13.312%13.3%

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Sauk County and the Town of Woodland
Town of Woodland
Sauk County
0%5%10%15%B.X.Total65+45-6435-4425-3410.828025%11.642123%10.828025%10.8%1715716.400000%14.345567%16.400000%16.4%4125014.285714%19.142300%14.285714%14.3%139116.049383%18.680445%16.049383%16.0%1381

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Sauk County at large.
Scope: population of Sauk County and the Town of Woodland
20%10%0%10%%ref.65+45-6435-4425-34-6.992688%-6.992688%7.0%10.828%10.8%11.642%11.6%14.321028%14.321028%14.3%16.400%16.4%14.346%14.3%-25.370963%-25.370963%25.4%14.286%14.3%19.142%19.1%-14.084581%-14.084581%14.1%16.049%16.0%18.680%18.7%

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 Sauk County and the Town of Woodland
More Females More Males
Sauk County
Town of Woodland
400%300%200%100%0%FM65+45-6435-4425-34-4.938272%-4.938272%4.9%15.068095%11.111%11.1%10.588%10.6%-63.083164%-4.787147%-63.083164%63.1%20.690%20.7%12.687%12.7%-487.500000%-92.477167%-487.500000%487.5%25.000%25.0%4.255%4.26%-0.212255%8.333333%8.333333%8.3%15.385%15.4%16.667%16.7%

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Sauk County and the Town of Woodland
Town of Woodland
Sauk County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$48,125.000000$55,403.000000$48,125.000000$48.1k447.599%7.60%$36,250.000000$44,951.000000$36,250.000000$36.3k8414.508%14.5%$31,964.000000$32,489.000000$31,964.000000$32.0k15727.116%27.1%$27,500.000000$29,430.000000$27,500.000000$27.5k18932.642%32.6%$30,714.000000$22,452.000000$30,714.000000$30.7k10518.135%18.1%$30,766.000000$33,722.000000$30,766.000000$30.8k579100.000%100%

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Sauk County and the Town of Woodland
Female Male
Sauk County
Town of Woodland
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-45,625.000000$-10,625.000000$-48,816.000000$-56,250.000000$56.3k$45,625.000000$48,816.000000$16,028.000000$45,625.000000$45.6k2024$-26,875.000000$-37,926.000000$-26,875.000000$26.9k$26,875.000000$16,875.000000$37,926.000000$14,398.000000$43,750.000000$43.8k4935$-25,000.000000$-26,938.000000$-25,000.000000$25.0k$25,000.000000$16,875.000000$26,938.000000$14,905.000000$41,875.000000$41.9k8275$-14,167.000000$-24,442.000000$-14,167.000000$14.2k$14,167.000000$16,771.000000$24,442.000000$8,820.000000$30,938.000000$30.9k69120$-26,875.000000$-14,618.000000$-26,875.000000$26.9k$26,875.000000$4,688.000000$14,618.000000$11,722.000000$31,563.000000$31.6k5154$-23,958.000000$-28,663.000000$-23,958.000000$24.0k$23,958.000000$12,113.000000$28,663.000000$11,567.000000$36,071.000000$36.1k271308

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 Sauk County and the Town of Woodland
Town of Woodland
Sauk County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma375.268817%87.902915%75.268817%75.3%7084.426230%83.180376%84.426230%84.4%10385.470085%77.919871%85.470085%85.5%10051.111111%59.101749%51.111111%51.1%46

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Sauk County and the Town of Woodland
Female Male
Sauk County
Town of Woodland
Shaded bar tips show excess over facing bar.
20%15%10%5%0%5%10%15%MFWhite1-17.532468%-2.705628%-7.053158%-20.238095%20.2%17.532468%7.053158%2.227332%17.532468%17.5%5451

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Sauk County and the Town of Woodland
Female Male
Sauk County
Town of Woodland
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-19.155844%-6.240981%-21.437043%-2.677772%-25.396825%25.4%19.155844%21.437043%19.155844%19.2%5964

Educational Attainment by County Subdivision in the Baraboo Area

There are 39 county subdivisions in the Baraboo Area. This section compares the Town of Woodland to all of the county subdivisions in the Baraboo Area and to those entities that contain or substantially overlap with the Town of Woodland.

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 Woodland, selected other county subdivisions in the Baraboo Area, and entities that contain the Town of Woodland
0%10%20%30%Count#Lime RidgeTown of IrontonIrontonTown of WashingtonWashingtonNorth FreedomTown of WoodlandWdlndTown of Honey CreekHoney CrkUnited States of AmericaUnited StatesTown of Bear CreekBear Crk000900Tract 000900West BarabooBarabooTown of SumpterSumpterTown of WestfieldWestfieldTown of DeltonDeltonLa ValleEast North CentralTown of FreedomFreedomTown of DellonaDellonaLoganvilleMidwestRock SpringsTown of ReedsburgReedsburgLake DeltonBaraboo Metro AreaBaraboo AreaSauk CountySaukTown of La ValleLa ValleWisconsinReedsburgTown of BarabooBarabooIrontonWisconsin DellsTown of FairfieldFairfieldTown of MerrimacMerrimacSpring GreenTown of Prairie du SacPrairie du SacTown of TroyTown of FranklinFranklinMerrimacTown of Spring GreenSpg GrnTown of GreenfieldGreenfieldTown of ExcelsiorExcelsiorPlainTown of WinfieldWinfieldSauk CityPrairie du SacCazenovia34.814815%34.814815%34.8%47124.473684%24.473684%24.5%93218.923328%18.923328%18.9%116318.223235%18.223235%18.2%80418.134715%18.134715%18.1%105515.051903%15.051903%15.1%87613.020590%13.020590%13.0%27,818,38027.8M12.967581%12.967581%13.0%52712.654140%12.654140%12.7%43112.087912%12.087912%12.1%132811.650485%11.650485%11.7%972911.572700%11.572700%11.6%781011.529412%11.529412%11.5%491111.124922%11.124922%11.1%1791211.111111%11.111111%11.1%271310.719464%10.719464%10.7%3,363,7843.36M10.638298%10.638298%10.6%351410.611855%10.611855%10.6%1111510.582011%10.582011%10.6%201610.244520%10.244520%10.2%4,641,8354.64M9.401709%9.401709%9.4%22179.270833%9.270833%9.3%89189.242225%9.242225%9.2%211199.112219%9.112219%9.1%4,0049.112219%9.112219%9.1%4,0048.718487%8.718487%8.7%83208.637220%8.637220%8.6%336,096336k8.619017%8.619017%8.6%533218.590806%8.590806%8.6%114228.333333%8.333333%8.3%15238.333333%8.333333%8.3%10247.492795%7.492795%7.5%52257.209613%7.209613%7.2%54266.949153%6.949153%6.9%82276.832298%6.832298%6.8%55286.585789%6.585789%6.6%38296.563707%6.563707%6.6%34306.428571%6.428571%6.4%27316.250000%6.250000%6.3%76325.945946%5.945946%5.9%44335.258900%5.258900%5.3%65345.253283%5.253283%5.3%28353.709199%3.709199%3.7%25363.155238%3.155238%3.2%75373.065794%3.065794%3.1%89380.000000%0.000000%0.0%039

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 Woodland, selected other county subdivisions in the Baraboo Area, and entities that contain the Town of Woodland
0%10%20%30%Count#Prairie du SacTown of BarabooBarabooTown of GreenfieldGreenfieldUnited States of AmericaUnited StatesSpring GreenTown of MerrimacMerrimacMidwestEast North CentralWisconsinTown of Spring GreenSpg GrnSauk CityWest BarabooTown of DeltonDeltonTown of La ValleLa ValleTown of Bear CreekBear CrkMerrimacTown of ExcelsiorExcelsiorBaraboo Metro AreaBaraboo AreaSauk CountySaukTown of Prairie du SacPrairie du SacTown of FairfieldFairfieldTown of WoodlandWdlndLake DeltonBarabooTown of ReedsburgReedsburgPlainReedsburg000900Tract 000900Town of Honey CreekHoney CrkTown of FranklinFranklinTown of FreedomFreedomTown of TroyTown of WinfieldWinfieldTown of DellonaDellonaTown of IrontonIrontonTown of WestfieldWestfieldTown of WashingtonWashingtonLoganvilleTown of SumpterSumpterRock SpringsNorth FreedomLa ValleLime RidgeWisconsin DellsIrontonCazenovia32.655873%32.655873%32.7%948131.273549%31.273549%31.3%415230.810811%30.810811%30.8%228330.315023%30.315023%30.3%64,767,78764.8M29.745763%29.745763%29.7%351429.238985%29.238985%29.2%219528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.631579%27.631579%27.6%336625.031552%25.031552%25.0%595724.908425%24.908425%24.9%272824.735861%24.735861%24.7%398923.739496%23.739496%23.7%2261023.441397%23.441397%23.4%941123.095238%23.095238%23.1%971222.977346%22.977346%23.0%2841322.323115%22.323115%22.3%9,80922.323115%22.323115%22.3%9,80922.236025%22.236025%22.2%1791422.190202%22.190202%22.2%1541522.107081%22.107081%22.1%1281621.594393%21.594393%21.6%4931721.455112%21.455112%21.5%1,7901820.208333%20.208333%20.2%1941919.699812%19.699812%19.7%1052019.566624%19.566624%19.6%1,2102119.553729%19.553729%19.6%66619.550173%19.550173%19.6%1132219.305019%19.305019%19.3%1002318.844985%18.844985%18.8%622417.504333%17.504333%17.5%1012517.359050%17.359050%17.4%1172617.208413%17.208413%17.2%1802716.842105%16.842105%16.8%642816.705882%16.705882%16.7%712912.398042%12.398042%12.4%763011.640212%11.640212%11.6%223111.572700%11.572700%11.6%783210.256410%10.256410%10.3%24339.339408%9.339408%9.3%41349.053498%9.053498%9.1%22358.148148%8.148148%8.1%11364.166667%4.166667%4.2%5373.333333%3.333333%3.3%6380.000000%0.000000%0.0%039

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 Woodland, selected other county subdivisions in the Baraboo Area, and entities that contain the Town of Woodland
0%1%2%3%4%5%Count#Town of WestfieldWestfieldTown of MerrimacMerrimacTown of ExcelsiorExcelsiorUnited States of AmericaUnited StatesTown of GreenfieldGreenfieldTown of FreedomFreedomTown of BarabooBarabooTown of WoodlandWdlndMidwestEast North CentralSauk CityWisconsinPrairie du SacTown of Bear CreekBear CrkTown of Spring GreenSpg GrnLake DeltonTown of FranklinFranklinTown of La ValleLa Valle000900Tract 000900MerrimacTown of ReedsburgReedsburgTown of WinfieldWinfieldBaraboo Metro AreaBaraboo AreaSauk CountySaukNorth FreedomBarabooTown of TroyTown of Prairie du SacPrairie du SacTown of FairfieldFairfieldTown of DeltonDeltonTown of DellonaDellonaReedsburgTown of Honey CreekHoney CrkWest BarabooSpring GreenPlainTown of IrontonIrontonLa ValleTown of WashingtonWashingtonTown of SumpterSumpterRock SpringsIrontonLoganvilleLime RidgeWisconsin DellsCazenovia5.647059%5.647059%5.6%2414.005340%4.005340%4.0%3023.398058%3.398058%3.4%4233.336158%3.336158%3.3%7,127,6737.13M3.243243%3.243243%3.2%2443.039514%3.039514%3.0%1053.014318%3.014318%3.0%4062.936097%2.936097%2.9%1772.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818679%2.818679%2.8%6782.703886%2.703886%2.7%105,215105k2.652429%2.652429%2.7%7792.493766%2.493766%2.5%10102.384868%2.384868%2.4%29112.365309%2.365309%2.4%54122.316602%2.316602%2.3%12132.310924%2.310924%2.3%22142.201996%2.201996%2.2%752.142857%2.142857%2.1%9152.083333%2.083333%2.1%20161.928783%1.928783%1.9%13171.847932%1.847932%1.8%8121.847932%1.847932%1.8%8121.822323%1.822323%1.8%8181.821887%1.821887%1.8%152191.733102%1.733102%1.7%10201.366460%1.366460%1.4%11211.296830%1.296830%1.3%9221.243008%1.243008%1.2%20231.051625%1.051625%1.1%11241.051100%1.051100%1.1%65250.692042%0.692042%0.7%4260.641026%0.641026%0.6%7270.593220%0.593220%0.6%7280.562852%0.562852%0.6%3290.526316%0.526316%0.5%2300.411523%0.411523%0.4%1310.326264%0.326264%0.3%2320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%039

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 Woodland, selected other county subdivisions in the Baraboo Area, and entities that contain the Town of Woodland
Female
Male
10x5x0x5xFM#Bear CrkLake DeltonLa ValleReedsburgExcelsiorHoney CrkIrontonWestfieldPlainTract 000900DellonaPrairie du SacLime RidgeIrontonLa ValleMerrimacWest BarabooMerrimacBaraboo AreaSaukFranklinTown of TroyWisconsinReedsburgBarabooWinfieldMidwestEast North CentralUnited StatesNorth FreedomWashingtonFreedomWdlndSumpterLoganvilleGreenfieldDeltonSpring GreenRock SpringsSpg GrnBarabooFairfieldSauk CityPrairie du SacWisconsin Dells-1.000000x-1.000000x6.566358x6.566358x6.57x3.243%3.24%21.296%21.3%1-1.000000x-1.000000x5.904980x5.904980x5.90x2.839%2.84%16.762%16.8%2-1.000000x-1.000000x3.237052x3.237052x3.24x4.000%4.00%12.948%12.9%3-1.000000x-1.000000x3.184573x3.184573x3.18x4.412%4.41%14.050%14.0%4-1.000000x-1.000000x2.512682x2.512682x2.51x2.921%2.92%7.339%7.34%5-1.000000x-1.000000x2.339518x2.339518x2.34x8.712%8.71%20.382%20.4%6-1.000000x-1.000000x2.321884x2.321884x2.32x13.836%13.8%32.127%32.1%7-1.000000x-1.000000x1.976959x1.976959x1.98x7.692%7.69%15.207%15.2%8-1.000000x-1.000000x1.834091x1.834091x1.83x3.717%3.72%6.818%6.82%9-1.000000x-1.000000x1.731027x1.731027x1.73x9.108%9.11%15.766%15.8%-1.000000x-1.000000x1.721516x1.721516x1.72x7.767%7.77%13.371%13.4%10-1.000000x-1.000000x1.719631x1.719631x1.72x4.961%4.96%8.531%8.53%11-1.000000x-1.000000x1.695313x1.695313x1.70x25.397%25.4%43.056%43.1%12-1.000000x-1.000000x1.636364x1.636364x1.64x6.173%6.17%10.101%10.1%13-1.000000x-1.000000x1.490909x1.490909x1.49x8.943%8.94%13.333%13.3%14-1.000000x-1.000000x1.435254x1.435254x1.44x5.914%5.91%8.488%8.49%15-1.000000x-1.000000x1.354386x1.354386x1.35x10.363%10.4%14.035%14.0%16-1.000000x-1.000000x1.322314x1.322314x1.32x5.500%5.50%7.273%7.27%17-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-1.000000x-1.000000x1.290064x1.290064x1.29x5.652%5.65%7.292%7.29%18-1.000000x-1.000000x1.283117x1.283117x1.28x5.668%5.67%7.273%7.27%19-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203566x1.203566x1.20x7.850%7.85%9.449%9.45%20-1.000000x-1.000000x1.199743x1.199743x1.20x10.661%10.7%12.790%12.8%21-1.000000x-1.000000x1.178182x1.178182x1.18x3.395%3.40%4.000%4.00%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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.095841x1.095841x1.10x17.327%17.3%18.987%19.0%23-1.000000x-1.000000x1.027906x1.027906x1.03x18.671%18.7%19.192%19.2%24-1.000000x-1.000000x1.002436x1.002436x1.00x10.625%10.6%10.651%10.7%25-1.073391x-1.073391x1.07x1.000000x1.000000x18.819%18.8%17.532%17.5%26-1.075707x-1.075707x1.08x1.000000x1.000000x11.988%12.0%11.145%11.1%27-1.087778x-1.087778x1.09x1.000000x1.000000x11.000%11.0%10.112%10.1%28-1.112500x-1.112500x1.11x1.000000x1.000000x6.250%6.25%5.618%5.62%29-1.135535x-1.135535x1.14x1.000000x1.000000x11.807%11.8%10.398%10.4%30-1.217032x-1.217032x1.22x1.000000x1.000000x7.593%7.59%6.239%6.24%31-1.241739x-1.241739x1.24x1.000000x1.000000x10.435%10.4%8.403%8.40%32-1.274762x-1.274762x1.27x1.000000x1.000000x6.973%6.97%5.470%5.47%33-1.356475x-1.356475x1.36x1.000000x1.000000x9.880%9.88%7.284%7.28%34-1.393491x-1.393491x1.39x1.000000x1.000000x8.683%8.68%6.231%6.23%35-1.467827x-1.467827x1.47x1.000000x1.000000x3.687%3.69%2.512%2.51%36-1.733603x-1.733603x1.73x1.000000x1.000000x3.900%3.90%2.249%2.25%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.706%14.7%0.000%0%38

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 Woodland, selected other county subdivisions in the Baraboo Area, and entities that contain the Town of Woodland
Female
Male
10x5x0x5x10xFM#Sauk CityPrairie du SacPlainIrontonLa ValleSpg GrnMerrimacWdlndBarabooDellonaExcelsiorBarabooDeltonFranklinLa ValleGreenfieldBaraboo AreaSaukEast North CentralMidwestWisconsinUnited StatesTract 000900FairfieldBear CrkWestfieldPrairie du SacReedsburgWest BarabooHoney CrkReedsburgMerrimacFreedomWinfieldNorth FreedomSpring GreenLake DeltonTown of TroyWashington-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.233%6.23%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.607%2.61%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.136%1.14%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.905%0.90%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.833%0.83%5-1.000000x-1.000000x9.348148x9.348148x9.35x0.475%0.48%4.444%4.44%6-1.000000x-1.000000x8.880637x8.880637x8.88x0.806%0.81%7.162%7.16%7-1.000000x-1.000000x6.599026x6.599026x6.60x0.738%0.74%4.870%4.87%8-1.000000x-1.000000x5.744057x5.744057x5.74x0.898%0.90%5.159%5.16%9-1.000000x-1.000000x2.586315x2.586315x2.59x0.583%0.58%1.507%1.51%10-1.000000x-1.000000x2.507923x2.507923x2.51x1.890%1.89%4.740%4.74%11-1.000000x-1.000000x2.494628x2.494628x2.49x1.075%1.08%2.682%2.68%12-1.000000x-1.000000x2.486093x2.486093x2.49x0.723%0.72%1.797%1.80%13-1.000000x-1.000000x2.395833x2.395833x2.40x1.304%1.30%3.125%3.13%14-1.000000x-1.000000x2.390438x2.390438x2.39x1.333%1.33%3.187%3.19%15-1.000000x-1.000000x2.157303x2.157303x2.16x2.083%2.08%4.494%4.49%16-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-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-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.473145x1.473145x1.47x1.759%1.76%2.591%2.59%-1.000000x-1.000000x1.324184x1.324184x1.32x1.120%1.12%1.484%1.48%17-1.000000x-1.000000x1.284722x1.284722x1.28x2.162%2.16%2.778%2.78%18-1.000000x-1.000000x1.132803x1.132803x1.13x5.288%5.29%5.991%5.99%19-1.000000x-1.000000x1.004628x1.004628x1.00x2.646%2.65%2.658%2.66%20-1.150113x-1.150113x1.15x1.000000x1.000000x1.121%1.12%0.975%0.98%21-1.181347x-1.181347x1.18x1.000000x1.000000x0.691%0.69%0.585%0.58%22-1.189394x-1.189394x1.19x1.000000x1.000000x0.758%0.76%0.637%0.64%23-1.242764x-1.242764x1.24x1.000000x1.000000x2.311%2.31%1.860%1.86%24-1.375000x-1.375000x1.38x1.000000x1.000000x2.500%2.50%1.818%1.82%25-1.584375x-1.584375x1.58x1.000000x1.000000x3.750%3.75%2.367%2.37%26-1.728395x-1.728395x1.73x1.000000x1.000000x2.469%2.47%1.429%1.43%27-1.955446x-1.955446x1.96x1.000000x1.000000x2.475%2.48%1.266%1.27%28-2.265751x-2.265751x2.27x1.000000x1.000000x0.808%0.81%0.357%0.36%29-2.433090x-2.433090x2.43x1.000000x1.000000x3.244%3.24%1.333%1.33%30-5.344130x-5.344130x5.34x1.000000x1.000000x3.239%3.24%0.606%0.61%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.633%0.63%0.000%0%32

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares the Town of Woodland to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Woodland. 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 Woodland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Woodland
0%5%10%15%Count#BeloitTown of WoodlandWdlndRacineMilwaukeeUnited States of AmericaUnited States000900Tract 000900Green BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeBaraboo Metro AreaBaraboo AreaSauk CountySaukMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197118.134715%18.134715%18.1%10517.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.654140%12.654140%12.7%43112.535944%12.535944%12.5%8,414411.643417%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%1,379139.112219%9.112219%9.1%4,0049.112219%9.112219%9.1%4,0048.829004%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%3,704178.211921%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%1,422286.289585%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

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 Woodland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Woodland
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 BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorBaraboo Metro AreaBaraboo AreaSauk CountySaukTown of WoodlandWdlndJanesvilleCudahyManitowocSouth MilwaukeeS Milwaukee000900Tract 000900SheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%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%3,1783325.519199%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%14,61114.6k4022.415597%22.415597%22.4%4,0704122.323115%22.323115%22.3%9,80922.323115%22.323115%22.3%9,80922.107081%22.107081%22.1%12822.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.553729%19.553729%19.6%66619.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350

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 Woodland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Woodland
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownTown of WoodlandWdlndMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenasha000900Tract 000900WaukeshaMilwaukeeGreenfieldBaraboo Metro AreaBaraboo AreaSauk CountySaukOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth 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%473182.995492%2.995492%3.0%412192.936097%2.936097%2.9%172.893416%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%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.201996%2.201996%2.2%752.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.847932%1.847932%1.8%8121.847932%1.847932%1.8%8121.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%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%549451.155451%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

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 Woodland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Woodland
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshTract 000900FranklinCaledoniaManitowocGreen BayPleasant PrairieBaraboo AreaSaukWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeWdlndCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-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-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.731027x1.731027x1.73x9.108%9.11%15.766%15.8%-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-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-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-1.000000x1.145574x1.145574x1.15x1.970%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%44-1.073391x-1.073391x1.07x1.000000x1.000000x18.819%18.8%17.532%17.5%-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

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 Woodland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Woodland
Female
Male
0x2x4x6xFM#WdlndNeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauBaraboo AreaSaukFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinTract 000900La CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x6.599026x6.599026x6.60x0.738%0.74%4.870%4.87%-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-1.000000x2.236989x2.236989x2.24x0.541%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-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-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-1.000000x1.663311x1.663311x1.66x6.193%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-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473145x1.473145x1.47x1.759%1.76%2.591%2.59%-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-1.000000x1.388151x1.388151x1.39x2.789%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

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Town of Woodland to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Town of Woodland. 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 Woodland, selected other county subdivisions in the Midwest, and entities that contain the Town of Woodland
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitTown of WoodlandWdlndMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThornton000900Tract 000900WichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsBaraboo Metro AreaBaraboo AreaSauk CountySaukWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar 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%90,67890.7k618.134715%18.134715%18.1%10517.485105%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%14,37014.4k2212.654140%12.654140%12.7%43112.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%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%9,123349.112219%9.112219%9.1%4,0049.112219%9.112219%9.1%4,0048.637220%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%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%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

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 Woodland, selected other county subdivisions in the Midwest, and entities that contain the Town of Woodland
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 TownshipProvisoWorth TownshipWorthMilwaukeeBaraboo Metro AreaBaraboo AreaSauk CountySaukTown of WoodlandWdlndRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipN000900Tract 000900Thornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%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%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3622.323115%22.323115%22.3%9,80922.323115%22.323115%22.3%9,80922.107081%22.107081%22.1%12821.592552%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%20,02920.0k4019.553729%19.553729%19.6%66618.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50

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 Woodland, selected other county subdivisions in the Midwest, and entities that contain the Town of Woodland
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 WoodlandWdlndSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProviso000900Tract 000900AkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandBaraboo Metro AreaBaraboo AreaSauk CountySaukToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne 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%2,472252.936097%2.936097%2.9%172.911721%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%6,260322.213918%2.213918%2.2%2,281332.201996%2.201996%2.2%752.163955%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%4,911391.847932%1.847932%1.8%8121.847932%1.847932%1.8%8121.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%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

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 Woodland, selected other county subdivisions in the Midwest, and entities that contain the Town of Woodland
Female
Male
1x0x1xFM#Tract 000900Baraboo AreaSaukCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulWdlndLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.731027x1.731027x1.73x9.108%9.11%15.766%15.8%-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-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-1.000000x1.132245x1.132245x1.13x19.779%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%44-1.073391x-1.073391x1.07x1.000000x1.000000x18.819%18.8%17.532%17.5%-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

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 Woodland, selected other county subdivisions in the Midwest, and entities that contain the Town of Woodland
Female
Male
0x2x4x6xFM#WdlndRockfordNDaytonSioux FallsCapitalBaraboo AreaSaukLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsTract 000900PalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x6.599026x6.599026x6.60x0.738%0.74%4.870%4.87%-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-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-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-1.000000x1.792728x1.792728x1.79x1.819%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-1.000000x1.669388x1.669388x1.67x3.061%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-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.473145x1.473145x1.47x1.759%1.76%2.591%2.59%-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50

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 Woodland to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Woodland. 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 Woodland, selected other county subdivisions in the United States, and entities that contain the Town of Woodland
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 VlyTown of WoodlandWdlndMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan Jose000900Tract 000900San FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaBaraboo Metro AreaBaraboo AreaSauk CountySaukSeattleWisconsinNortheast TarrantNE TarrantPlanoSeattle 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%244,983245k1818.134715%18.134715%18.1%10517.485105%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%153,604154k3512.654140%12.654140%12.7%43112.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%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%37,37337.4k469.112219%9.112219%9.1%4,0049.112219%9.112219%9.1%4,0048.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50

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 Woodland, selected other county subdivisions in the United States, and entities that contain the Town of Woodland
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 VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoBaraboo Metro AreaBaraboo AreaSauk CountySaukTown of WoodlandWdlndLas VegasEl Paso000900Tract 000900BronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%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%272,786273k3926.011156%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%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4422.323115%22.323115%22.3%9,80922.323115%22.323115%22.3%9,80922.107081%22.107081%22.1%12821.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.553729%19.553729%19.6%66619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50

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 Woodland, selected other county subdivisions in the United States, and entities that contain the Town of Woodland
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodTown of WoodlandWdlndMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntario000900Tract 000900Fort WorthLas VegasMilwaukeeBaraboo Metro AreaBaraboo AreaSauk CountySaukSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.936097%2.936097%2.9%172.893416%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%15,54715.5k402.324315%2.324315%2.3%9,688412.201996%2.201996%2.2%752.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.847932%1.847932%1.8%8121.847932%1.847932%1.8%8121.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350

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 Woodland, selected other county subdivisions in the United States, and entities that contain the Town of Woodland
Female
Male
1x0x1xFM#Tract 000900Baraboo AreaSauk1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast 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 EastWdlndSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.731027x1.731027x1.73x9.108%9.11%15.766%15.8%-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-1.000000x-1.000000x1.317657x1.317657x1.32x7.885%7.89%10.390%10.4%-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-1.000000x1.127915x1.127915x1.13x9.647%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%46-1.073391x-1.073391x1.07x1.000000x1.000000x18.819%18.8%17.532%17.5%-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

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 Woodland, selected other county subdivisions in the United States, and entities that contain the Town of Woodland
Female
Male
0x2x4x6xFM#WdlndEl PasoSalt Lk CityBaraboo AreaSaukPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaTract 000900San Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x6.599026x6.599026x6.60x0.738%0.74%4.870%4.87%-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-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-1.000000x-1.000000x1.895621x1.895621x1.90x1.285%1.28%2.435%2.43%-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-1.000000x1.660799x1.660799x1.66x2.196%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-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.473145x1.473145x1.47x1.759%1.76%2.591%2.59%-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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