Educational Attainment in Cleveland, Le Sueur County, Minnesota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Le Sueur County and Cleveland
Cleveland
Le Sueur County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.122363%33.177892%33.122363%33.1%15761.603376%57.585714%61.603376%61.6%2925.274262%9.236394%5.274262%5.3%25
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 Le Sueur County at large.
Scope: population of Le Sueur County and Cleveland
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-0.167368%-0.167368%-0.2%33.122%33.1%33.178%33.2%6.976838%6.976838%+7.0%61.603%61.6%57.586%57.6%-42.896965%-42.896965%-42.9%5.274%5.27%9.236%9.24%
% percentage with given level in Cleveland
ref. percentage with given level in Le Sueur 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 Le Sueur County and Cleveland
Cleveland
Le Sueur County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.916751%01.476793%0.710084%1.476793%1.5%71.687764%4.525462%1.687764%1.7%811.181435%15.213820%11.181435%11.2%5318.776371%11.811775%18.776371%18.8%8919.831224%21.615177%19.831224%19.8%9441.772152%35.970537%41.772152%41.8%1983.164557%6.464946%3.164557%3.2%152.109705%2.416406%2.109705%2.1%100.000000%0.000000%0.0%0.355042%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 Le Sueur County at large.
Scope: population of Le Sueur County and Cleveland
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.917%0.92%107.974369%107.974369%+108.0%1.477%1.48%0.710%0.71%-62.705165%-62.705165%-62.7%1.688%1.69%4.525%4.53%-26.504754%-26.504754%-26.5%11.181%11.2%15.214%15.2%58.963169%58.963169%+59.0%18.776%18.8%11.812%11.8%-8.253243%-8.253243%-8.3%19.831%19.8%21.615%21.6%16.128798%16.128798%+16.1%41.772%41.8%35.971%36.0%-51.050529%-51.050529%-51.1%3.165%3.16%6.465%6.46%-12.692464%-12.692464%-12.7%2.110%2.11%2.416%2.42%-100.000000%-100.000000%-100.0%0.000%0%0.355%0.36%
% percentage with given level in Cleveland
ref. percentage with given level in Le Sueur 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 Le Sueur County and Cleveland
More Females More Males
Le Sueur County
Cleveland
40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-57.377049%-22.839824%-57.377049%57%40.506%40.5%25.738%25.7%31.746032%9.451949%31.746032%32%53.165%53.2%70.042%70.0%-50.000000%-50.000000%50%19.164091%6.329%6.33%4.219%4.22%
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 Le Sueur County and Cleveland
More Females More Males
Le Sueur County
Cleveland
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%24.412858%1,000.000000%> 1000%0.000%0%2.954%2.95%-66.666667%-84.855804%-66.666667%67%2.110%2.11%1.266%1.27%-3.846154%-14.155523%-3.846154%4%11.392%11.4%10.970%11.0%-156.000000%-21.326361%-156.000000%156%27.004%27.0%10.549%10.5%-23.809524%-9.384136%-23.809524%24%21.941%21.9%17.722%17.7%67.567568%22.039637%67.567568%68%31.224%31.2%52.321%52.3%-300.000000%-300.000000%300%35.794240%5.063%5.06%1.266%1.27%-21.823853%133.333333%133.333333%133%1.266%1.27%2.954%2.95%
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 Le Sueur County and Cleveland
Cleveland
Le Sueur County
0%5%10%15%20%B.X.Total65+45-6435-4425-344.166667%10.975057%4.166667%4.2%4969.452736%15.287413%9.452736%9.5%1920114.285714%18.469815%14.285714%14.3%149820.253165%17.581334%20.253165%20.3%1679
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 Le Sueur County at large.
Scope: population of Le Sueur County and Cleveland
60%40%20%0%%ref.65+45-6435-4425-34-62.035124%-62.035124%62.0%4.167%4.17%10.975%11.0%-38.166542%-38.166542%38.2%9.453%9.45%15.287%15.3%-22.653722%-22.653722%22.7%14.286%14.3%18.470%18.5%15.196971%15.196971%15.2%20.253%20.3%17.581%17.6%
% percentage in Cleveland with a Bachelor's degree
ref percentage in Le Sueur 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 Le Sueur County and Cleveland
More Females More Males
Le Sueur County
Cleveland
50%0%50%100%FM65+45-6435-4425-344.255319%30.087333%4.255319%4.3%4.082%4.08%4.255%4.26%-38.875000%-29.553419%-38.875000%38.9%11.000%11.0%7.921%7.92%-14.034188%130.392157%130.392157%130.4%8.511%8.51%19.608%19.6%-54.471545%-30.794979%-54.471545%54.5%24.390%24.4%15.789%15.8%
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 Le Sueur County and Cleveland
Cleveland
Le Sueur County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$52,500.000000$57,452.000000$52,500.000000$52.5k153.165%3.16%$45,179.000000$48,361.000000$45,179.000000$45.2k5311.181%11.2%$36,488.000000$37,459.000000$36,488.000000$36.5k18338.608%38.6%$33,194.000000$33,659.000000$33,194.000000$33.2k19841.772%41.8%$38,333.000000$29,952.000000$38,333.000000$38.3k255.274%5.27%$36,205.000000$38,615.000000$36,205.000000$36.2k474100.000%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 Le Sueur County and Cleveland
Female Male
Le Sueur County
Cleveland
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40k$60kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-43,750.000000$-1,786.000000$-40,030.000000$-45,536.000000$45.5k$43,750.000000$40,030.000000$22,418.000000$43,750.000000$43.8k2726$-35,893.000000$-30,514.000000$-35,893.000000$35.9k$35,893.000000$4,107.000000$30,514.000000$15,707.000000$40,000.000000$40.0k11667$-28,750.000000$-24,608.000000$-28,750.000000$28.8k$28,750.000000$5,556.000000$24,608.000000$16,269.000000$34,306.000000$34.3k74124$-35,865.000000$-31,213.000000$-35,865.000000$35.9k$35,865.000000$2,156.000000$31,213.000000$13,122.000000$38,021.000000$38.0k237237
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 Le Sueur County and Cleveland
Cleveland
Le Sueur County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma395.161290%91.020159%95.161290%95.2%5989.473684%87.826087%89.473684%89.5%13679.487179%79.138139%79.487179%79.5%12462.500000%64.913958%62.500000%62.5%5
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 Le Sueur County and Cleveland
Female Male
Le Sueur County
Cleveland
Shaded bar tips show excess over facing bar.
100%50%0%MFWhite1Hispanic2-4.310345%-1.366511%-6.781000%-5.676856%5.7%4.310345%6.781000%1.736034%4.310345%4.3%1013-0.000000%-100.000000%-45.336788%-20.334854%-100.000000%100.0%0.000000%45.336788%0.000000%0.0%02
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 Le Sueur County and Cleveland
Female Male
Le Sueur County
Cleveland
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%40%MFWhite1Hispanic2-13.973799%-19.906480%-4.295258%-13.973799%14.0%13.973799%0.681373%19.906480%14.655172%14.7%3432-0.000000%-2.238806%0.000000%0.0%0.000000%40.000000%2.238806%3.719743%40.000000%40.0%20
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 Minneapolis Area

There are 415 county subdivisions in the Minneapolis Area. This section compares Cleveland to the 50 most populous county subdivisions in the Minneapolis Area and to those entities that contain or substantially overlap with Cleveland. The least populous of the compared county subdivisions has a population of 18,077.

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 Cleveland, selected other county subdivisions in the Minneapolis Area, and entities that contain Cleveland
0%5%10%15%Count#Brooklyn CenterBrooklyn CtrColumbia HeightsColumbia HtsSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisWest St. PaulMidwestBrooklyn ParkSouth St. PaulS St. PaulFridleyNew HopeLe Sueur CountyLe SueurWest North CentralMaplewoodHopkinsInver Grove HeightsInver Grv HtsShakopeeBloomingtonCrystalMinnesotaCoon RapidsRosevilleMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisBurnsvilleHastings950600Tract 950600New BrightonOakdaleChaskaClevelandClevelandBlaineApple ValleyCottage GroveElk RiverZIP Code 56017ZIP 56017SavageForest LakeFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountCleveland Public School DistrictClevelandLakevilleGolden ValleyLino LakesEden PrairieShoreviewChamplinWoodburyStillwaterPlymouthMinnetonkaChanhassenMaple GroveEdina16.036673%16.036673%16.0%3,131113.892638%13.892638%13.9%1,853213.278342%13.278342%13.3%24,61324.6k313.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795410.958428%10.958428%11.0%29,34729.3k510.442611%10.442611%10.4%1,392610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.989540%9.989540%10.0%1,33789.793424%9.793424%9.8%1,81199.672290%9.672290%9.7%1,399109.236394%9.236394%9.2%1,7439.174633%9.174633%9.2%1,278,0511.28M7.910263%7.910263%7.9%2,172117.780654%7.780654%7.8%962127.772967%7.772967%7.8%1,831137.542599%7.542599%7.5%1,837147.540581%7.540581%7.5%4,729157.446682%7.446682%7.4%1,250167.376055%7.376055%7.4%270,121270k7.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.766618%6.766618%6.8%158,334158k6.224589%6.224589%6.2%2,572196.110006%6.110006%6.1%952205.890703%5.890703%5.9%1665.686185%5.686185%5.7%873215.387794%5.387794%5.4%1,017225.326215%5.326215%5.3%858235.274262%5.274262%5.3%255.274262%5.274262%5.3%255.219035%5.219035%5.2%2,154244.998974%4.998974%5.0%1,705254.937132%4.937132%4.9%1,123264.603205%4.603205%4.6%721274.378910%4.378910%4.4%494.312955%4.312955%4.3%812284.235165%4.235165%4.2%541294.216911%4.216911%4.2%584304.052866%4.052866%4.1%1,429314.031177%4.031177%4.0%812323.724508%3.724508%3.7%610333.667395%3.667395%3.7%1,646343.645924%3.645924%3.6%631353.629499%3.629499%3.6%596363.564652%3.564652%3.6%526373.516999%3.516999%3.5%603.487209%3.487209%3.5%1,325383.364544%3.364544%3.4%539393.260146%3.260146%3.3%441403.205970%3.205970%3.2%1,392413.194655%3.194655%3.2%612423.108874%3.108874%3.1%488433.024874%3.024874%3.0%1,317442.851829%2.851829%2.9%368452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
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 Cleveland, selected other county subdivisions in the Minneapolis Area, and entities that contain Cleveland
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkGolden ValleyShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonStillwaterRosevillePrior LakeChaskaRosemountApple ValleySavageHopkinsLino LakesBloomingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisSt. PaulBurnsvilleChamplinRichfieldShakopeeFarmingtonInver Grove HeightsInver Grv HtsMinnesotaAndoverNew HopeWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkMidwestRamseyWest St. PaulHastingsCleveland Public School DistrictClevelandFridleyForest Lake950600Tract 950600Coon RapidsSouth St. PaulS St. PaulColumbia HeightsColumbia HtsLe Sueur CountyLe SueurZIP Code 56017ZIP 56017Brooklyn CenterBrooklyn CtrClevelandCleveland68.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k755.574282%55.574282%55.6%8,903854.601451%54.601451%54.6%10,46010.5k950.665018%50.665018%50.7%23,35123.4k1050.398824%50.398824%50.4%22,62022.6k1148.278766%48.278766%48.3%18,34418.3k1247.670489%47.670489%47.7%127,663128k1347.267635%47.267635%47.3%7,2571447.233416%47.233416%47.2%6,0951546.445382%46.445382%46.4%11,44611.4k1645.472261%45.472261%45.5%7,4671744.248557%44.248557%44.2%7,1281844.076986%44.076986%44.1%6,5041943.384056%43.384056%43.4%14,79714.8k2043.102990%43.102990%43.1%8,1152141.531867%41.531867%41.5%5,1352241.043838%41.043838%41.0%5,5522340.791530%40.791530%40.8%25,58225.6k2439.983752%39.983752%40.0%935,591936k39.969357%39.969357%40.0%74,08874.1k2538.511617%38.511617%38.5%15,91315.9k2637.561317%37.561317%37.6%5,8962736.544602%36.544602%36.5%9,2712836.468898%36.468898%36.5%8,8822935.764315%35.764315%35.8%4,9533034.649346%34.649346%34.6%8,1623134.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673234.050055%34.050055%34.1%4,9253333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4128.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534228.372093%28.372093%28.4%3,7824328.059816%28.059816%28.1%4,3724427.432591%27.432591%27.4%46827.190136%27.190136%27.2%5,0284527.007985%27.007985%27.0%3,4504626.295245%26.295245%26.3%74125.993543%25.993543%26.0%11,19111.2k4724.043634%24.043634%24.0%3,2184821.704903%21.704903%21.7%2,8954921.366117%21.366117%21.4%4,03221.179625%21.179625%21.2%23720.631018%20.631018%20.6%4,0285014.345992%14.345992%14.3%6814.345992%14.345992%14.3%68
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 Cleveland, selected other county subdivisions in the Minneapolis Area, and entities that contain Cleveland
0%5%10%Count#EdinaGolden ValleyShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkStillwaterNew BrightonEaganMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaUnited States of AmericaUnited StatesBloomingtonCleveland Public School DistrictClevelandWest North CentralLino LakesApple ValleyMidwestChaskaWhite Bear LakeWhite Bear Lk950600Tract 950600Inver Grove HeightsInver Grv HtsWest St. PaulBlaineZIP Code 56017ZIP 56017BurnsvilleForest LakePrior LakeRosemountHopkinsFridleyNew HopeShakopeeRichfieldSavageOakdaleRamseySouth St. PaulS St. PaulBrooklyn ParkCottage GroveCrystalLe Sueur CountyLe SueurAndoverFarmingtonClevelandClevelandElk RiverColumbia HeightsColumbia HtsCoon RapidsBrooklyn CenterBrooklyn CtrHastings11.352388%11.352388%11.4%4,08319.737828%9.737828%9.7%1,56027.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851115.184439%5.184439%5.2%669124.722204%4.722204%4.7%725134.400428%4.400428%4.4%1,975143.980678%3.980678%4.0%93,14593.1k3.852912%3.852912%3.9%614153.692855%3.692855%3.7%1,702163.590939%3.590939%3.6%986173.521423%3.521423%3.5%1,338183.510225%3.510225%3.5%551193.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968203.106682%3.106682%3.1%532.978981%2.978981%3.0%414,980415k2.971834%2.971834%3.0%402212.958337%2.958337%3.0%1,009222.893416%2.893416%2.9%1,311,0191.31M2.874170%2.874170%2.9%463232.692552%2.692552%2.7%466242.661462%2.661462%2.7%752.623535%2.623535%2.6%618252.505626%2.505626%2.5%334262.500485%2.500485%2.5%1,032272.412869%2.412869%2.4%272.405615%2.405615%2.4%994282.403319%2.403319%2.4%307292.174045%2.174045%2.2%357302.134725%2.134725%2.1%315312.127143%2.127143%2.1%263322.103612%2.103612%2.1%389332.046460%2.046460%2.0%296342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.703527%1.703527%1.7%228401.673021%1.673021%1.7%825411.653038%1.653038%1.7%376421.638270%1.638270%1.6%275431.626835%1.626835%1.6%3071.558854%1.558854%1.6%314441.509134%1.509134%1.5%209451.476793%1.476793%1.5%71.476793%1.476793%1.5%71.283279%1.283279%1.3%201461.274554%1.274554%1.3%170471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%17550
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 Cleveland, selected other county subdivisions in the Minneapolis Area, and entities that contain Cleveland
Female
Male
1x0x1x2xFM#Golden ValleyFarmingtonStillwaterRamseyLino LakesEden PrairieMaplewoodElk RiverSt. Louis PkShoreviewShakopeeHastingsFridleyCoon RapidsLe SueurForest LakeBrooklyn CtrRichfieldWest North CentralTract 950600MinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalS St. PaulMinneapolisCottage GroveLakevilleRosemountBloomingtonColumbia HtsSt. PaulBurnsvilleEaganWest St. PaulMinneapolisInver Grv HtsApple ValleyMaple GroveChaskaWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageClevelandNew HopeClevelandClevelandHopkinsZIP 56017New Brighton-1.000000x-1.000000x2.896921x2.896921x2.90x1.803%1.80%5.224%5.22%1-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%2-1.000000x-1.000000x1.880234x1.880234x1.88x1.988%1.99%3.739%3.74%3-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%4-1.000000x-1.000000x1.537358x1.537358x1.54x2.534%2.53%3.896%3.90%5-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%6-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%7-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%8-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%9-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%10-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-1.000000x-1.000000x1.181826x1.181826x1.18x3.887%3.89%4.594%4.59%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136447x1.136447x1.14x5.507%5.51%6.259%6.26%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%18-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%20-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%21-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%22-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%23-1.000000x-1.000000x1.075155x1.075155x1.08x9.653%9.65%10.378%10.4%24-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%28-1.054236x-1.054236x1.05x1.000000x1.000000x14.252%14.3%13.519%13.5%29-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%30-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%31-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%32-1.087869x-1.087869x1.09x1.000000x1.000000x10.851%10.9%9.974%9.97%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%36-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%37-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%38-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%39-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%40-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%41-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%42-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%43-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%44-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%45-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%46-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%47-1.289960x-1.289960x1.29x1.000000x1.000000x3.976%3.98%3.082%3.08%-1.373920x-1.373920x1.37x1.000000x1.000000x11.110%11.1%8.086%8.09%48-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.599387x-1.599387x1.60x1.000000x1.000000x9.458%9.46%5.914%5.91%49-1.651111x-1.651111x1.65x1.000000x1.000000x5.484%5.48%3.322%3.32%-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%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 Cleveland, selected other county subdivisions in the Minneapolis Area, and entities that contain Cleveland
Female
Male
0x5x10xFM#ClevelandClevelandNew HopeHopkinsWhite Bear LkRosemountForest LakeAndoverShoreviewWest St. PaulMaple GroveOakdaleShakopeeStillwaterEdinaFridleyEden PrairieHastingsRamseyMaplewoodMinnetonkaNew BrightonTract 950600Lino LakesWoodburyMidwestPlymouthWest North CentralRosevilleGolden ValleyRichfieldChaskaCrystalUnited StatesCoon RapidsCottage GroveMinnesotaClevelandSt. Louis PkMinneapolisInver Grv HtsEaganBrooklyn CtrColumbia HtsSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkZIP 56017LakevilleBlaineMinneapolisLe SueurS St. PaulChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-1.000000x-1.000000x3.921842x3.921842x3.92x0.857%0.86%3.360%3.36%1-1.000000x-1.000000x2.952921x2.952921x2.95x1.105%1.11%3.264%3.26%2-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%3-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%4-1.000000x-1.000000x2.484698x2.484698x2.48x1.388%1.39%3.449%3.45%5-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%6-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%7-1.000000x-1.000000x2.129051x2.129051x2.13x1.642%1.64%3.497%3.50%8-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%9-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%10-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%11-1.000000x-1.000000x1.960266x1.960266x1.96x3.518%3.52%6.896%6.90%12-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%13-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%14-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%15-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%16-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%17-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%18-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%19-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%20-1.000000x-1.000000x1.706073x1.706073x1.71x1.957%1.96%3.338%3.34%-1.000000x-1.000000x1.674609x1.674609x1.67x2.186%2.19%3.660%3.66%21-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%22-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583257x1.583257x1.58x4.465%4.46%7.069%7.07%23-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.559618x1.559618x1.56x5.912%5.91%9.220%9.22%24-1.000000x-1.000000x1.552905x1.552905x1.55x7.775%7.78%12.074%12.1%25-1.000000x-1.000000x1.551084x1.551084x1.55x1.481%1.48%2.298%2.30%26-1.000000x-1.000000x1.548982x1.548982x1.55x2.267%2.27%3.511%3.51%27-1.000000x-1.000000x1.532997x1.532997x1.53x1.305%1.30%2.000%2.00%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%29-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.443792x1.443792x1.44x2.530%2.53%3.653%3.65%-1.000000x-1.000000x1.442441x1.442441x1.44x4.342%4.34%6.262%6.26%31-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%32-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%33-1.000000x-1.000000x1.367180x1.367180x1.37x0.959%0.96%1.311%1.31%34-1.000000x-1.000000x1.286021x1.286021x1.29x1.118%1.12%1.438%1.44%35-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%36-1.000000x-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%37-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%38-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%39-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%40-1.000000x-1.000000x1.195367x1.195367x1.20x2.194%2.19%2.622%2.62%-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%41-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%42-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%43-1.000000x-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-1.000000x-1.000000x1.113724x1.113724x1.11x1.618%1.62%1.802%1.80%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%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 Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares Cleveland to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with Cleveland. The least populous of the compared county subdivisions has a population of 22,226.

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 Cleveland, selected other county subdivisions in Minnesota, and entities that contain Cleveland
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyLe Sueur CountyLe SueurWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisDuluthRochesterBurnsvilleHastings950600Tract 950600MankatoNew BrightonOakdaleChaskaMoorheadClevelandClevelandBlaineApple ValleyCottage GroveElk RiverZIP Code 56017ZIP 56017SavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountCleveland Public School DistrictClevelandLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.236394%9.236394%9.2%1,7439.174633%9.174633%9.2%1,278,0511.28M7.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.766618%6.766618%6.8%158,334158k6.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.890703%5.890703%5.9%1665.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.274262%5.274262%5.3%255.274262%5.274262%5.3%255.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.378910%4.378910%4.4%494.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.516999%3.516999%3.5%603.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
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 Cleveland, selected other county subdivisions in Minnesota, and entities that contain Cleveland
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaCleveland Public School DistrictClevelandFridley950600Tract 950600Coon RapidsAustinLe Sueur CountyLe SueurZIP Code 56017ZIP 56017Brooklyn CenterBrooklyn CtrFaribaultClevelandCleveland68.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.983752%39.983752%40.0%935,591936k39.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.432591%27.432591%27.4%46827.190136%27.190136%27.2%5,0284626.295245%26.295245%26.3%74125.993543%25.993543%26.0%11,19111.2k4721.410083%21.410083%21.4%3,4744821.366117%21.366117%21.4%4,03221.179625%21.179625%21.2%23720.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115014.345992%14.345992%14.3%6814.345992%14.345992%14.3%68
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 Cleveland, selected other county subdivisions in Minnesota, and entities that contain Cleveland
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonCleveland Public School DistrictClevelandWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear Lk950600Tract 950600Inver Grove HeightsInver Grv HtsMoorheadBlaineZIP Code 56017ZIP 56017BurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalLe Sueur CountyLe SueurOwatonnaAndoverFaribaultFarmingtonClevelandClevelandElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastings11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.980678%3.980678%4.0%93,14593.1k3.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968233.106682%3.106682%3.1%532.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.661462%2.661462%2.7%752.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.412869%2.412869%2.4%272.405615%2.405615%2.4%994312.174045%2.174045%2.2%357322.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.673021%1.673021%1.7%825401.653038%1.653038%1.7%376411.638270%1.638270%1.6%275421.626835%1.626835%1.6%3071.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.476793%1.476793%1.5%71.476793%1.476793%1.5%71.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%17550
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 Cleveland, selected other county subdivisions in Minnesota, and entities that contain Cleveland
Female
Male
1x0x1x2xFM#FarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthLe SueurBrooklyn CtrRichfieldFaribaultWest North CentralTract 950600MinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalMinneapolisCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageClevelandClevelandClevelandZIP 56017New Brighton-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136447x1.136447x1.14x5.507%5.51%6.259%6.26%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%19-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%21-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%22-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%23-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%24-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.289960x-1.289960x1.29x1.000000x1.000000x3.976%3.98%3.082%3.08%-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.651111x-1.651111x1.65x1.000000x1.000000x5.484%5.48%3.322%3.32%-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%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 Cleveland, selected other county subdivisions in Minnesota, and entities that contain Cleveland
Female
Male
0x5x10xFM#ClevelandClevelandWinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonTract 950600RochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthClevelandSt. Louis PkMinneapolisFaribaultInver Grv HtsEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkZIP 56017LakevilleBlaineMinneapolisLe SueurChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-1.000000x-1.000000x3.549966x3.549966x3.55x1.887%1.89%6.698%6.70%1-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%2-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%3-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%4-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%5-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%6-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%7-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%8-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%9-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%10-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%11-1.000000x-1.000000x1.842122x1.842122x1.84x1.143%1.14%2.106%2.11%12-1.000000x-1.000000x1.831940x1.831940x1.83x2.992%2.99%5.480%5.48%13-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%14-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%15-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%16-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%17-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%18-1.000000x-1.000000x1.706073x1.706073x1.71x1.957%1.96%3.338%3.34%-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%19-1.000000x-1.000000x1.655114x1.655114x1.66x1.942%1.94%3.214%3.21%20-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583257x1.583257x1.58x4.465%4.46%7.069%7.07%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.559618x1.559618x1.56x5.912%5.91%9.220%9.22%23-1.000000x-1.000000x1.551084x1.551084x1.55x1.481%1.48%2.298%2.30%24-1.000000x-1.000000x1.548982x1.548982x1.55x2.267%2.27%3.511%3.51%25-1.000000x-1.000000x1.544665x1.544665x1.54x2.633%2.63%4.067%4.07%26-1.000000x-1.000000x1.544387x1.544387x1.54x2.283%2.28%3.525%3.53%27-1.000000x-1.000000x1.532997x1.532997x1.53x1.305%1.30%2.000%2.00%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%29-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.465286x1.465286x1.47x3.496%3.50%5.123%5.12%31-1.000000x-1.000000x1.443792x1.443792x1.44x2.530%2.53%3.653%3.65%-1.000000x-1.000000x1.442441x1.442441x1.44x4.342%4.34%6.262%6.26%32-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.419491x1.419491x1.42x1.234%1.23%1.752%1.75%33-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%34-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%35-1.000000x-1.000000x1.367180x1.367180x1.37x0.959%0.96%1.311%1.31%36-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%37-1.000000x-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%38-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%39-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%40-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%41-1.000000x-1.000000x1.195367x1.195367x1.20x2.194%2.19%2.622%2.62%-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%42-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%43-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%44-1.000000x-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%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 Cleveland to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Cleveland. 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 Cleveland, selected other county subdivisions in the Midwest, and entities that contain Cleveland
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsLe Sueur CountyLe SueurWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisOlatheFargoCedar Rapids950600Tract 950600York TownshipClevelandClevelandMilton TownshipMiltonMadisonZIP Code 56017ZIP 56017Downers Grove TownshipDowners GrvLisle TownshipLisleCleveland Public School DistrictClevelandOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.236394%9.236394%9.2%1,7439.174633%9.174633%9.2%1,278,0511.28M8.623103%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%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.766618%6.766618%6.8%158,334158k6.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.890703%5.890703%5.9%1665.461095%5.461095%5.5%4,715445.274262%5.274262%5.3%255.274262%5.274262%5.3%255.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.378910%4.378910%4.4%494.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.516999%3.516999%3.5%603.377424%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 Cleveland, selected other county subdivisions in the Midwest, and entities that contain Cleveland
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsCleveland Public School DistrictClevelandTopekaSpringfield TownshipSpringfield950600Tract 950600Proviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordLe Sueur CountyLe SueurZIP Code 56017ZIP 56017AkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipClevelandClevelandDetroit72.810169%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%50,61950.6k1439.983752%39.983752%40.0%935,591936k39.969357%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%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.432591%27.432591%27.4%46827.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.295245%26.295245%26.3%74126.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.366117%21.366117%21.4%4,03221.179625%21.179625%21.2%23720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4914.345992%14.345992%14.3%6814.345992%14.345992%14.3%6813.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Cleveland, selected other county subdivisions in the Midwest, and entities that contain Cleveland
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisPalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsCleveland Public School DistrictClevelandLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlathe950600Tract 950600Center TownshipCtrSchaumburg TownshipSchaumburgWichitaZIP Code 56017ZIP 56017Proviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoLe Sueur CountyLe SueurNorth TownshipNClevelandClevelandSterling 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%3,970193.980678%3.980678%4.0%93,14593.1k3.487439%3.487439%3.5%2,782203.458748%3.458748%3.5%126,664127k3.407574%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%3,846243.106682%3.106682%3.1%533.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.661462%2.661462%2.7%752.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.412869%2.412869%2.4%272.213918%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%4,911391.642065%1.642065%1.6%3,018401.626835%1.626835%1.6%3071.575684%1.575684%1.6%1,606411.476793%1.476793%1.5%71.476793%1.476793%1.5%71.439893%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
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 Cleveland, selected other county subdivisions in the Midwest, and entities that contain Cleveland
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonLe SueurKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralTract 950600MinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoMinneapolisWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineClevelandClevelandClevelandZIP 56017-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136447x1.136447x1.14x5.507%5.51%6.259%6.26%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-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%50-1.289960x-1.289960x1.29x1.000000x1.000000x3.976%3.98%3.082%3.08%-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.651111x-1.651111x1.65x1.000000x1.000000x5.484%5.48%3.322%3.32%
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 Cleveland, selected other county subdivisions in the Midwest, and entities that contain Cleveland
Female
Male
0x5x10xFM#ClevelandClevelandRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkTract 950600MiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineClevelandMinneapolisSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrZIP 56017ToledoMinneapolisLe SueurWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-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-1.000000x1.792728x1.792728x1.79x1.819%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-1.000000x1.706073x1.706073x1.71x1.957%1.96%3.338%3.34%-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-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-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-1.000000x1.443792x1.443792x1.44x2.530%2.53%3.653%3.65%-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-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-1.000000x1.195367x1.195367x1.20x2.194%2.19%2.622%2.62%-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-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-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 Cleveland to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Cleveland. 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 Cleveland, selected other county subdivisions in the United States, and entities that contain Cleveland
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaLe Sueur CountyLe SueurWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolis950600Tract 950600PlanoClevelandClevelandSeattle EastZIP Code 56017ZIP 56017Cleveland Public School DistrictCleveland28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.236394%9.236394%9.2%1,7439.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k6.766618%6.766618%6.8%158,334158k5.890703%5.890703%5.9%1665.714681%5.714681%5.7%20,64420.6k495.274262%5.274262%5.3%255.274262%5.274262%5.3%254.913852%4.913852%4.9%20,32620.3k504.378910%4.378910%4.4%493.516999%3.516999%3.5%60
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 Cleveland, selected other county subdivisions in the United States, and entities that contain Cleveland
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoCleveland Public School DistrictClevelandEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphia950600Tract 950600MiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasLe Sueur CountyLe SueurZIP Code 56017ZIP 56017El PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlClevelandClevelandDetroit60.434640%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%223,068223k1239.983752%39.983752%40.0%935,591936k38.767308%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%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.432591%27.432591%27.4%46827.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.295245%26.295245%26.3%74126.011156%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%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.366117%21.366117%21.4%4,03221.179625%21.179625%21.2%23721.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4914.345992%14.345992%14.3%6814.345992%14.345992%14.3%6813.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Cleveland, selected other county subdivisions in the United States, and entities that contain Cleveland
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaCleveland Public School DistrictClevelandPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW Harris950600Tract 950600Northeast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyZIP Code 56017ZIP 56017OntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxLe Sueur CountyLe SueurClevelandClevelandDetroit12.461852%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%27,61827.6k203.980678%3.980678%4.0%93,14593.1k3.827408%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%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%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%12,13312.1k313.106682%3.106682%3.1%533.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.661462%2.661462%2.7%752.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.412869%2.412869%2.4%272.324315%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%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.626835%1.626835%1.6%3071.476793%1.476793%1.5%71.476793%1.476793%1.5%71.318660%1.318660%1.3%5,69350
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 Cleveland, selected other county subdivisions in the United States, and entities that contain Cleveland
Female
Male
1x0x1xFM#1, CharlotteDetroitLe SueurBaltimoreTulsaSW DallasWest North CentralTract 950600MinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueMinneapolisWashingtonSacramentoColumbusSalt 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 PasoClevelandClevelandClevelandZIP 56017-1.000000x-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-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136447x1.136447x1.14x5.507%5.51%6.259%6.26%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-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%50-1.289960x-1.289960x1.29x1.000000x1.000000x3.976%3.98%3.082%3.08%-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.500000x-1.500000x1.50x1.000000x1.000000x6.329%6.33%4.219%4.22%-1.651111x-1.651111x1.65x1.000000x1.000000x5.484%5.48%3.322%3.32%
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 Cleveland, selected other county subdivisions in the United States, and entities that contain Cleveland
Female
Male
0x5x10xFM#ClevelandClevelandEl PasoSalt Lk CityPlanoTulsaAlbuquerqueTract 950600NE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyClevelandMinneapolisHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioZIP 56017Long Bch-LakewoodDenverLe SueurSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.954%2.95%-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-1.000000x1.782054x1.782054x1.78x3.355%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-1.000000x1.706073x1.706073x1.71x1.957%1.96%3.338%3.34%-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-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-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-1.000000x1.443792x1.443792x1.44x2.530%2.53%3.653%3.65%-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-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-1.000000x1.195367x1.195367x1.20x2.194%2.19%2.622%2.62%-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-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-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:
Minnesota
County:
Le Sueur
Metro Area:
Minneapolis Area
City:
Cleveland
ZIP Code:
56017
Unified School District:
Cleveland
Congressional District:
MN-1
State Senate District:
MN-20
State House District:
MN-20A
Neighboring Townships:
Cleveland
Nearby Townships:
Cordova, Jamestown, Kasota, Ottawa, Sharon, Washington