Educational Attainment in the Ridgely Township, Nicollet County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Nicollet County and the Ridgely Township
Ridgely Township
Nicollet County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma226.415094%45.192352%26.415094%26.4%1469.811321%48.369540%69.811321%69.8%373.773585%6.438108%3.773585%3.8%2
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 Nicollet County at large.
Scope: population of Nicollet County and the Ridgely Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-41.549636%-41.549636%-41.5%26.415%26.4%45.192%45.2%44.329098%44.329098%+44.3%69.811%69.8%48.370%48.4%-41.386738%-41.386738%-41.4%3.774%3.77%6.438%6.44%
% percentage with given level in the Ridgely Township
ref. percentage with given level in Nicollet 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 Nicollet County and the Ridgely Township
Ridgely Township
Nicollet County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%2.498023%00.000000%0.000000%0.0%1.535098%015.094340%6.135740%15.094340%15.1%80.000000%0.000000%0.0%22.091455%011.320755%12.932037%11.320755%11.3%639.622642%21.305298%39.622642%39.6%2130.188679%27.064242%30.188679%30.2%160.000000%0.000000%0.0%3.433037%03.773585%2.567800%3.773585%3.8%20.000000%0.000000%0.0%0.437270%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 Nicollet County at large.
Scope: population of Nicollet County and the Ridgely Township
-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%2.498%2.50%-100.000000%-100.000000%-100.0%0.000%0%1.535%1.54%146.006838%146.006838%+146.0%15.094%15.1%6.136%6.14%-100.000000%-100.000000%-100.0%0.000%0%22.091%22.1%-12.459617%-12.459617%-12.5%11.321%11.3%12.932%12.9%85.975529%85.975529%+86.0%39.623%39.6%21.305%21.3%11.544524%11.544524%+11.5%30.189%30.2%27.064%27.1%-100.000000%-100.000000%-100.0%0.000%0%3.433%3.43%46.957889%46.957889%+47.0%3.774%3.77%2.568%2.57%-100.000000%-100.000000%-100.0%0.000%0%0.437%0.44%
% percentage with given level in the Ridgely Township
ref. percentage with given level in Nicollet 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 Nicollet County and the Ridgely Township
More Females More Males
Nicollet County
Ridgely Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-12.000000%-12.040075%-12.000000%12%28.000%28.0%25.000%25.0%-6.105263%-6.105263%6%7.107967%72.000%72.0%67.857%67.9%1,000.000000%32.847107%1,000.000000%> 1000%0.000%0%7.143%7.14%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Nicollet County and the Ridgely Township
More Females More Males
Nicollet County
Ridgely Township
0%500%1,000%FMMaster's1Associate's1Some CollegeHigh School2Less than H.S.3-236.000000%-41.197176%-236.000000%236%24.000%24.0%7.143%7.14%-44.010665%346.428571%346.428571%346%4.000%4.00%17.857%17.9%-3.718892%19.047619%19.047619%19%36.000%36.0%42.857%42.9%-44.000000%-44.000000%44%16.387696%36.000%36.0%25.000%25.0%1,000.000000%23.696070%1,000.000000%> 1000%0.000%0%7.143%7.14%
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 Nicollet County and the Ridgely Township
Ridgely Township
Nicollet County
0%5%10%15%20%25%B.X.Total65+45-6435-440.000000%0.000000%0.0%16.329604%0100.000000%0.000000%0.0%20.526125%0230.000000%0.000000%0.0%25.376128%020
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 Nicollet County at large.
Scope: population of Nicollet County and the Ridgely Township
100%80%60%40%20%0%%ref.65+45-6435-44-100.000000%-100.000000%100.0%0.000%0%16.330%16.3%-100.000000%-100.000000%100.0%0.000%0%20.526%20.5%-100.000000%-100.000000%100.0%0.000%0%25.376%25.4%
% percentage in the Ridgely Township with a Bachelor's degree
ref percentage in Nicollet County with a Bachelor's degree

Median Earnings by Educational Attainment#9

Among population 25 years old and over with earnings.
Scope: population of Nicollet County and the Ridgely Township
Ridgely Township
Nicollet County
$0k$20k$40k$60kCount%Graduate Degree1Some CollegeH.S. Diploma2Total$61,250.000000$58,212.000000$61,250.000000$61.3k815.094%15.1%$39,688.000000$36,587.000000$39,688.000000$39.7k2750.943%50.9%$43,750.000000$32,121.000000$43,750.000000$43.8k1630.189%30.2%$44,375.000000$39,168.000000$44,375.000000$44.4k53100.000%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#10

By sex among population 25 years old and over with earnings.
Scope: population of Nicollet County and the Ridgely Township
Female Male
Nicollet County
Ridgely Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeTotal$-38,125.000000$-30,602.000000$-38,125.000000$38.1k$38,125.000000$13,958.000000$30,602.000000$13,759.000000$52,083.000000$52.1k1017$-39,688.000000$-32,945.000000$-39,688.000000$39.7k$39,688.000000$18,645.000000$32,945.000000$11,551.000000$58,333.000000$58.3k2528
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#11

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Nicollet County and the Ridgely Township
Ridgely Township
Nicollet County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma375.000000%92.176083%75.000000%75.0%676.923077%88.501855%76.923077%76.9%2066.666667%76.178195%66.666667%66.7%60.000000%0.000000%0.0%48.704663%0
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#12

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Nicollet County and the Ridgely Township
Female Male
Nicollet County
Ridgely Township
Shaded bar tips show excess over facing bar.
2%0%2%4%6%MFWhite1-0.000000%-3.699619%0.000000%0.0%0.000000%7.142857%3.699619%1.483706%7.142857%7.1%20
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#13

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Nicollet County and the Ridgely Township
Female Male
Nicollet County
Ridgely Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1-7.142857%-16.857143%-32.948267%-0.448565%-24.000000%24.0%7.142857%32.948267%7.142857%7.1%26
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 Mankato Area

There are 56 county subdivisions in the Mankato Area. This section compares the Ridgely Township to the 50 most populous county subdivisions in the Mankato Area and to those entities that contain or substantially overlap with the Ridgely Township. The least populous of the compared county subdivisions has a population of 188.

No H.S. Diploma by County Subdivision#14

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ridgely Township, selected other county subdivisions in the Mankato Area, and entities that contain the Ridgely Township
0%5%10%15%Count#AmboyZIP Code 55332ZIP 55332United States of AmericaUnited StatesG.F.W.Traverse TownshipTraverseSt. PeterCeresco TownshipCerescoMidwestLafayetteDanville TownshipDanvilleSouth Bend TownshipS BendLake Prairie TownshipLk PrairieWest North CentralMapleton TownshipMapletonMedo TownshipMapletonLake CrystalMinnesotaCourtland TownshipCourtlandPembertonVernon CenterBernadotte TownshipBernadotteDecoria TownshipDecoria480100Tract 480100Nicollet CountyNicolletGarden City TownshipGdn CityCourtlandGranby TownshipGranbyMankato and North Mankato Metro AreaMankato AreaWest Newton TownshipW NewtonMankatoGood ThunderBrighton TownshipBrightonRapidan TownshipRapidanCambria TownshipCambriaLafayette TownshipLafayetteEagle LakeNew Sweden TownshipNew SwedenMcPherson TownshipMcPhersonNorth MankatoSt. ClairRidgely TownshipRidgelyLime TownshipLe Ray TownshipLe RayMadison LakeNicolletVernon Center TownshipVernon CtrSkylineBelgrade TownshipBelgradeLincoln TownshipLincolnButternut Valley TownshipButternut VlyLyra TownshipShelby TownshipShelbyBeauford TownshipBeaufordMankato TownshipMankatoOshawa TownshipOshawaJudson TownshipJudsonJamestown TownshipJamestownNicollet TownshipNicolletSterling TownshipSterling17.827869%17.827869%17.8%87117.732794%17.732794%17.7%21913.020590%13.020590%13.0%27,818,38027.8M12.821134%12.821134%12.8%52912.252964%12.252964%12.3%31210.983945%10.983945%11.0%691310.526316%10.526316%10.5%16410.244520%10.244520%10.2%4,641,8354.64M9.764310%9.764310%9.8%2959.523810%9.523810%9.5%1669.367297%9.367297%9.4%11479.230769%9.230769%9.2%4889.174633%9.174633%9.2%1,278,0511.28M8.653846%8.653846%8.7%1898.467742%8.467742%8.5%21108.397683%8.397683%8.4%87117.777778%7.777778%7.8%126127.376055%7.376055%7.4%270,121270k7.182320%7.182320%7.2%26137.100592%7.100592%7.1%12146.986900%6.986900%7.0%16156.857143%6.857143%6.9%12166.734435%6.734435%6.7%53176.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.343907%6.343907%6.3%38186.225681%6.225681%6.2%32196.077348%6.077348%6.1%11206.019515%6.019515%6.0%3,5785.934718%5.934718%5.9%20215.855251%5.855251%5.9%1,220225.822785%5.822785%5.8%23235.468750%5.468750%5.5%7245.149701%5.149701%5.1%43254.932735%4.932735%4.9%11264.901961%4.901961%4.9%25274.398148%4.398148%4.4%76284.347826%4.347826%4.3%8294.333333%4.333333%4.3%13303.998714%3.998714%4.0%373313.861789%3.861789%3.9%19323.773585%3.773585%3.8%23.748327%3.748327%3.7%28333.676471%3.676471%3.7%20343.581662%3.581662%3.6%25353.518268%3.518268%3.5%26363.496503%3.496503%3.5%5373.361345%3.361345%3.4%8383.291139%3.291139%3.3%26393.278689%3.278689%3.3%6402.916667%2.916667%2.9%7412.904564%2.904564%2.9%7422.843602%2.843602%2.8%6432.795031%2.795031%2.8%9442.346041%2.346041%2.3%32452.331002%2.331002%2.3%10462.233251%2.233251%2.2%9471.908397%1.908397%1.9%10481.724138%1.724138%1.7%7491.463415%1.463415%1.5%350
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#15

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ridgely Township, selected other county subdivisions in the Mankato Area, and entities that contain the Ridgely Township
0%20%40%60%Count#SkylineOshawa TownshipOshawaMankato TownshipMankatoNorth MankatoMankatoSterling TownshipSterlingLake Prairie TownshipLk PrairieMinnesotaLe Ray TownshipLe RaySt. PeterNicollet CountyNicolletLime TownshipMadison LakeMankato and North Mankato Metro AreaMankato AreaBelgrade TownshipBelgradeCourtlandUnited States of AmericaUnited StatesDecoria TownshipDecoriaWest North CentralRapidan TownshipRapidanJudson TownshipJudsonJamestown TownshipJamestownEagle LakeMedo TownshipMidwestGarden City TownshipGdn CityCourtland TownshipCourtlandTraverse TownshipTraverseLincoln TownshipLincolnNicollet TownshipNicolletLake CrystalNew Sweden TownshipNew SwedenVernon CenterSt. ClairMapleton TownshipMapletonLafayette TownshipLafayette480100Tract 480100McPherson TownshipMcPhersonButternut Valley TownshipButternut VlyDanville TownshipDanvilleGood ThunderNicolletGranby TownshipGranbyVernon Center TownshipVernon CtrShelby TownshipShelbySouth Bend TownshipS BendCeresco TownshipCerescoLyra TownshipMapletonWest Newton TownshipW NewtonCambria TownshipCambriaLafayetteRidgely TownshipRidgelyBernadotte TownshipBernadotteG.F.W.Beauford TownshipBeaufordAmboyZIP Code 55332ZIP 55332PembertonBrighton TownshipBrighton60.084034%60.084034%60.1%143141.025641%41.025641%41.0%176238.782991%38.782991%38.8%529336.159949%36.159949%36.2%3,373436.144174%36.144174%36.1%7,531535.121951%35.121951%35.1%72634.615385%34.615385%34.6%180734.240609%34.240609%34.2%1,253,9371.25M32.904412%32.904412%32.9%179832.586234%32.586234%32.6%2,050932.260315%32.260315%32.3%6,93532.128514%32.128514%32.1%2401032.091691%32.091691%32.1%2241131.879206%31.879206%31.9%18,94918.9k31.518987%31.518987%31.5%2491230.544747%30.544747%30.5%1571330.315023%30.315023%30.3%64,767,78764.8M30.114358%30.114358%30.1%2371430.056536%30.056536%30.1%4,186,9564.19M29.940120%29.940120%29.9%2501529.528536%29.528536%29.5%1191629.389313%29.389313%29.4%1541729.166667%29.166667%29.2%5041829.032258%29.032258%29.0%721928.952816%28.952816%29.0%13,118,64213.1M27.545910%27.545910%27.5%1652027.071823%27.071823%27.1%982126.086957%26.086957%26.1%662225.683060%25.683060%25.7%472325.123153%25.123153%25.1%1022424.691358%24.691358%24.7%4002524.456522%24.456522%24.5%452624.017467%24.017467%24.0%552723.780488%23.780488%23.8%1172823.076923%23.076923%23.1%482922.745098%22.745098%22.7%1163021.506734%21.506734%21.5%51121.000000%21.000000%21.0%633120.416667%20.416667%20.4%493220.238095%20.238095%20.2%343320.000000%20.000000%20.0%793419.891746%19.891746%19.9%1473519.889503%19.889503%19.9%363619.580420%19.580420%19.6%283719.431280%19.431280%19.4%413818.652424%18.652424%18.7%2273917.105263%17.105263%17.1%264016.597510%16.597510%16.6%404116.409266%16.409266%16.4%1704215.727003%15.727003%15.7%534315.246637%15.246637%15.2%344415.151515%15.151515%15.2%454515.094340%15.094340%15.1%814.857143%14.857143%14.9%264614.735822%14.735822%14.7%60814.596273%14.596273%14.6%474711.475410%11.475410%11.5%56489.635628%9.635628%9.6%1196.508876%6.508876%6.5%11496.250000%6.250000%6.3%850
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#16

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ridgely Township, selected other county subdivisions in the Mankato Area, and entities that contain the Ridgely Township
0%2%4%6%8%Count#Oshawa TownshipOshawaSkylineMankato TownshipMankatoLe Ray TownshipLe RaySterling TownshipSterlingSt. PeterSt. ClairNorth MankatoMankatoNicollet CountyNicolletLime TownshipJamestown TownshipJamestownBelgrade TownshipBelgradeMankato and North Mankato Metro AreaMankato AreaTraverse TownshipTraverseMinnesotaUnited States of AmericaUnited StatesWest North CentralNicollet TownshipNicolletMidwestLake Prairie TownshipLk PrairieRapidan TownshipRapidanLafayetteDecoria TownshipDecoriaMadison LakeLafayette TownshipLafayetteVernon CenterJudson TownshipJudsonBernadotte TownshipBernadotteGarden City TownshipGdn CityWest Newton TownshipW NewtonSouth Bend TownshipS BendEagle LakeZIP Code 55332ZIP 55332480100Tract 480100G.F.W.Granby TownshipGranbyLincoln TownshipLincolnNew Sweden TownshipNew SwedenMapletonGood ThunderMapleton TownshipMapletonCambria TownshipCambriaLyra TownshipCourtland TownshipCourtlandNicolletBrighton TownshipBrightonLake CrystalButternut Valley TownshipButternut VlyMedo TownshipRidgely TownshipRidgelyCourtlandAmboyBeauford TownshipBeaufordMcPherson TownshipMcPhersonShelby TownshipShelbyPembertonDanville TownshipDanvilleVernon Center TownshipVernon CtrCeresco TownshipCeresco8.158508%8.158508%8.2%3517.983193%7.983193%8.0%1926.451613%6.451613%6.5%8836.250000%6.250000%6.3%3445.365854%5.365854%5.4%1155.277380%5.277380%5.3%33264.471545%4.471545%4.5%2274.234563%4.234563%4.2%39584.218660%4.218660%4.2%87994.033121%4.033121%4.0%8673.882195%3.882195%3.9%29103.816794%3.816794%3.8%20113.670886%3.670886%3.7%29123.581763%3.581763%3.6%2,1293.557312%3.557312%3.6%9133.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.955665%2.955665%3.0%12142.893416%2.893416%2.9%1,311,0191.31M2.884615%2.884615%2.9%15152.874251%2.874251%2.9%24162.693603%2.693603%2.7%8172.541296%2.541296%2.5%20182.435530%2.435530%2.4%17191.960784%1.960784%2.0%10201.746725%1.746725%1.7%4211.736973%1.736973%1.7%7221.714286%1.714286%1.7%3231.669449%1.669449%1.7%10241.483680%1.483680%1.5%5251.479047%1.479047%1.5%18261.388889%1.388889%1.4%24271.376518%1.376518%1.4%171.262626%1.262626%1.3%301.139118%1.139118%1.1%471.104972%1.104972%1.1%2281.092896%1.092896%1.1%2291.086957%1.086957%1.1%2301.061776%1.061776%1.1%11311.012658%1.012658%1.0%4320.961538%0.961538%1.0%2330.896861%0.896861%0.9%2340.829876%0.829876%0.8%2350.828729%0.828729%0.8%3360.811908%0.811908%0.8%6370.781250%0.781250%0.8%1380.617284%0.617284%0.6%10390.416667%0.416667%0.4%1400.403226%0.403226%0.4%1410.000000%0.000000%0.0%00.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#17

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ridgely Township, selected other county subdivisions in the Mankato Area, and entities that contain the Ridgely Township
Female
Male
0x5x10xFM#RidgelyJudsonSterlingLincolnVernon CtrAmboyDanvilleCourtlandRapidanNicolletShelbyCourtlandNicolletBeaufordMankatoPembertonMedo TownshipMcPhersonVernon CenterLake CrystalGood ThunderTract 480100W NewtonSt. PeterLafayetteOshawaMapletonDecoriaG.F.W.NicolletCambriaZIP 55332Butternut VlyLk PrairieNew SwedenBrightonGranbyLime TownshipMankato AreaWest North CentralMinnesotaMidwestUnited StatesGdn CityLe RayMapletonTraverseMankatoBernadotteNorth MankatoEagle LakeCerescoBelgradeLafayetteLyra TownshipS BendSt. ClairJamestownMadison LakeSkyline-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.054%4.05%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.778%2.78%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.250%6.25%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.410%6.41%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x3.057%3.06%30.888%30.9%5-1.000000x-1.000000x6.066667x6.066667x6.07x2.564%2.56%15.556%15.6%6-1.000000x-1.000000x5.877143x5.877143x5.88x2.139%2.14%12.571%12.6%7-1.000000x-1.000000x5.864097x5.864097x5.86x1.474%1.47%8.645%8.64%8-1.000000x-1.000000x5.277778x5.277778x5.28x0.526%0.53%2.778%2.78%9-1.000000x-1.000000x5.144231x5.144231x5.14x0.935%0.93%4.808%4.81%10-1.000000x-1.000000x3.855392x3.855392x3.86x2.479%2.48%9.559%9.56%11-1.000000x-1.000000x3.657722x3.657722x3.66x1.453%1.45%5.316%5.32%12-1.000000x-1.000000x3.588050x3.588050x3.59x1.227%1.23%4.403%4.40%13-1.000000x-1.000000x3.328612x3.328612x3.33x1.064%1.06%3.541%3.54%14-1.000000x-1.000000x2.506667x2.506667x2.51x4.255%4.26%10.667%10.7%15-1.000000x-1.000000x2.099174x2.099174x2.10x5.512%5.51%11.570%11.6%16-1.000000x-1.000000x2.076923x2.076923x2.08x2.778%2.78%5.769%5.77%17-1.000000x-1.000000x2.038835x2.038835x2.04x4.762%4.76%9.709%9.71%18-1.000000x-1.000000x1.905210x1.905210x1.91x5.402%5.40%10.292%10.3%19-1.000000x-1.000000x1.903699x1.903699x1.90x4.020%4.02%7.653%7.65%20-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-1.000000x-1.000000x1.762153x1.762153x1.76x4.138%4.14%7.292%7.29%21-1.000000x-1.000000x1.575097x1.575097x1.58x8.465%8.47%13.333%13.3%22-1.000000x-1.000000x1.495387x1.495387x1.50x3.863%3.86%5.776%5.78%23-1.000000x-1.000000x1.451835x1.451835x1.45x1.896%1.90%2.752%2.75%24-1.000000x-1.000000x1.373230x1.373230x1.37x7.216%7.22%9.910%9.91%25-1.000000x-1.000000x1.365921x1.365921x1.37x5.645%5.65%7.711%7.71%26-1.000000x-1.000000x1.348471x1.348471x1.35x10.911%10.9%14.713%14.7%-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-1.000000x-1.000000x1.277778x1.277778x1.28x4.348%4.35%5.556%5.56%27-1.000000x-1.000000x1.268769x1.268769x1.27x15.589%15.6%19.778%19.8%-1.000000x-1.000000x1.268293x1.268293x1.27x2.564%2.56%3.252%3.25%28-1.000000x-1.000000x1.258541x1.258541x1.26x8.085%8.09%10.175%10.2%29-1.000000x-1.000000x1.226415x1.226415x1.23x3.846%3.85%4.717%4.72%30-1.000000x-1.000000x1.213930x1.213930x1.21x4.918%4.92%5.970%5.97%31-1.000000x-1.000000x1.213333x1.213333x1.21x5.495%5.49%6.667%6.67%32-1.000000x-1.000000x1.207483x1.207483x1.21x3.380%3.38%4.082%4.08%33-1.000000x-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.022080x1.022080x1.02x6.272%6.27%6.410%6.41%34-1.000000x-1.000000x1.000000x1.000000x3.676%3.68%3.676%3.68%35-1.050097x-1.050097x1.05x1.000000x1.000000x8.581%8.58%8.172%8.17%36-1.055672x-1.055672x1.06x1.000000x1.000000x12.605%12.6%11.940%11.9%37-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%38-1.160494x-1.160494x1.16x1.000000x1.000000x7.407%7.41%6.383%6.38%39-1.251540x-1.251540x1.25x1.000000x1.000000x4.425%4.42%3.535%3.54%40-1.299183x-1.299183x1.30x1.000000x1.000000x5.039%5.04%3.878%3.88%41-1.303030x-1.303030x1.30x1.000000x1.000000x12.121%12.1%9.302%9.30%42-1.370558x-1.370558x1.37x1.000000x1.000000x3.807%3.81%2.778%2.78%43-1.426239x-1.426239x1.43x1.000000x1.000000x11.486%11.5%8.054%8.05%44-1.485380x-1.485380x1.49x1.000000x1.000000x3.509%3.51%2.362%2.36%45-1.521850x-1.521850x1.52x1.000000x1.000000x11.254%11.3%7.395%7.39%46-1.709697x-1.709697x1.71x1.000000x1.000000x4.727%4.73%2.765%2.76%47-1.747934x-1.747934x1.75x1.000000x1.000000x2.479%2.48%1.418%1.42%48-1.893491x-1.893491x1.89x1.000000x1.000000x4.734%4.73%2.500%2.50%49-2.622047x-2.622047x2.62x1.000000x1.000000x4.724%4.72%1.802%1.80%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 the Ridgely Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Ridgely Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#18

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ridgely Township, selected other county subdivisions in Minnesota, and entities that contain the Ridgely Township
0%5%10%15%Count#ZIP Code 55332ZIP 55332FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesG.F.W.RichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleDuluth480100Tract 480100Nicollet CountyNicolletRochesterBurnsvilleHastingsMankato and North Mankato Metro AreaMankato AreaMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRidgely TownshipRidgelyRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina17.732794%17.732794%17.7%21916.891386%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%27,818,38027.8M12.821134%12.821134%12.8%52911.017383%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%1,81189.174633%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%1,681186.456536%6.456536%6.5%3,427196.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952226.019515%6.019515%6.0%3,5785.855251%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%1,253275.219035%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%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.773585%3.773585%3.8%23.724508%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%526403.487209%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#19

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ridgely Township, selected other county subdivisions in Minnesota, and entities that contain the Ridgely Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineNicollet CountyNicolletMankato and North Mankato Metro AreaMankato AreaOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon Rapids480100Tract 480100AustinBrooklyn CenterBrooklyn CtrFaribaultRidgely TownshipRidgelyG.F.W.ZIP Code 55332ZIP 5533268.687093%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%25,58225.6k2139.969357%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%13,82013.8k3532.260315%32.260315%32.3%6,93531.879206%31.879206%31.9%18,94918.9k31.447341%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%4,7584527.190136%27.190136%27.2%5,0284625.993543%25.993543%26.0%11,19111.2k4721.506734%21.506734%21.5%51121.410083%21.410083%21.4%3,4744820.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115015.094340%15.094340%15.1%814.735822%14.735822%14.7%6089.635628%9.635628%9.6%119
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#20

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ridgely Township, selected other county subdivisions in Minnesota, and entities that contain the Ridgely Township
0%2%4%6%8%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoNicollet CountyNicolletChanhassenMaple GroveMaplewoodMankato and North Mankato Metro AreaMankato AreaLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonZIP Code 55332ZIP 55332Elk RiverCoon Rapids480100Tract 480100G.F.W.Brooklyn CenterBrooklyn CtrHastingsRidgely TownshipRidgely11.352388%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%879164.033121%4.033121%4.0%8673.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.581763%3.581763%3.6%2,1293.521423%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%1,968232.978981%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%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%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%275421.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.376518%1.376518%1.4%171.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.262626%1.262626%1.3%301.139118%1.139118%1.1%471.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.000000%0.000000%0.0%0
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#21

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ridgely Township, selected other county subdivisions in Minnesota, and entities that contain the Ridgely Township
Female
Male
0x5x10xFM#RidgelyFarmingtonTract 480100RamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkG.F.W.NicolletShoreviewShakopeeAustinHastingsFridleyZIP 55332Coon RapidsDuluthMankato AreaBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-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-1.000000x1.348471x1.348471x1.35x10.911%10.9%14.713%14.7%-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-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-1.000000x1.268769x1.268769x1.27x15.589%15.6%19.778%19.8%-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-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-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-1.000000x1.136388x1.136388x1.14x6.913%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-1.000000x1.037512x1.037512x1.04x4.848%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%49-1.669127x-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

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#22

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ridgely Township, selected other county subdivisions in the Midwest, and entities that contain the Ridgely Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitZIP Code 55332ZIP 55332MilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonG.F.W.WichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashington480100Tract 480100Nicollet CountyNicolletOlatheFargoMankato and North Mankato Metro AreaMankato AreaCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvRidgely TownshipRidgelyLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.732794%17.732794%17.7%21917.485105%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%14,37014.4k2212.821134%12.821134%12.8%52912.568464%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%9,123349.174633%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%6,403406.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270426.019515%6.019515%6.0%3,5785.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.773585%3.773585%3.8%23.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#23

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ridgely Township, selected other county subdivisions in the Midwest, and entities that contain the Ridgely Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleNicollet CountyNicolletMankato and North Mankato Metro AreaMankato AreaCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockford480100Tract 480100AkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipRidgely TownshipRidgelyG.F.W.DetroitZIP Code 55332ZIP 5533272.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%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%25,12725.1k2732.260315%32.260315%32.3%6,93531.879206%31.879206%31.9%18,94918.9k31.793440%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%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.506734%21.506734%21.5%51120.213821%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%16,95117.0k4915.094340%15.094340%15.1%814.735822%14.735822%14.7%60813.833543%13.833543%13.8%59,72359.7k509.635628%9.635628%9.6%119
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#24

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ridgely Township, selected other county subdivisions in the Midwest, and entities that contain the Ridgely Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaNicollet CountyNicolletMaine TownshipMaineMankato and North Mankato Metro AreaMankato AreaPalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityZIP Code 55332ZIP 55332Detroit480100Tract 480100DaytonWayne TownshipWayneG.F.W.WarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonRidgely TownshipRidgely17.877867%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%11,66511.7k184.033121%4.033121%4.0%8674.030539%4.030539%4.0%3,970193.581763%3.581763%3.6%2,1293.487439%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%3,846243.083448%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%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%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%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.376518%1.376518%1.4%171.318660%1.318660%1.3%5,693441.262626%1.262626%1.3%301.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.139118%1.139118%1.1%471.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.000000%0.000000%0.0%0
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#25

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ridgely Township, selected other county subdivisions in the Midwest, and entities that contain the Ridgely Township
Female
Male
0x5x10xFM#RidgelyTract 480100G.F.W.NicolletZIP 55332Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMankato AreaMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-1.000000x-1.000000x1.348471x1.348471x1.35x10.911%10.9%14.713%14.7%-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-1.000000x-1.000000x1.268769x1.268769x1.27x15.589%15.6%19.778%19.8%-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-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-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-1.000000x1.136388x1.136388x1.14x6.913%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-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ridgely Township, selected other county subdivisions in the United States, and entities that contain the Ridgely Township
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 VlyZIP Code 55332ZIP 55332MilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaG.F.W.San JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesota480100Tract 480100Nicollet CountyNicolletMankato and North Mankato Metro AreaMankato AreaPlanoSeattle EastRidgely TownshipRidgely28.998944%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%244,983245k1817.732794%17.732794%17.7%21917.485105%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%57,75857.8k3412.821134%12.821134%12.8%52912.789590%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%37,37337.4k469.174633%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%270,121270k6.439394%6.439394%6.4%1536.438108%6.438108%6.4%1,3846.019515%6.019515%6.0%3,5785.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.773585%3.773585%3.8%2
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#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ridgely Township, selected other county subdivisions in the United States, and entities that contain the Ridgely Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaNicollet CountyNicolletTucsonMankato and North Mankato Metro AreaMankato AreaOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas Vegas480100Tract 480100El PasoBronxSan BernardinoRidgely TownshipRidgelySan Antonio CentralSan Antonio CntrlG.F.W.DetroitZIP Code 55332ZIP 5533260.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%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%144,676145k2532.260315%32.260315%32.3%6,93532.087814%32.087814%32.1%184,237184k2631.879206%31.879206%31.9%18,94918.9k31.198303%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%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.506734%21.506734%21.5%51121.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.094340%15.094340%15.1%814.929012%14.929012%14.9%65,34165.3k4914.735822%14.735822%14.7%60813.833543%13.833543%13.8%59,72359.7k509.635628%9.635628%9.6%119
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#28

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ridgely Township, selected other county subdivisions in the United States, and entities that contain the Ridgely Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNicollet CountyNicolletMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyMankato and North Mankato Metro AreaMankato AreaTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxZIP Code 55332ZIP 55332Detroit480100Tract 480100G.F.W.Ridgely TownshipRidgely12.461852%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%19,24719.2k194.033121%4.033121%4.0%8674.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.581763%3.581763%3.6%2,1293.490252%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%12,13312.1k313.010825%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%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%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%15,06415.1k491.376518%1.376518%1.4%171.318660%1.318660%1.3%5,693501.262626%1.262626%1.3%301.139118%1.139118%1.1%470.000000%0.000000%0.0%0
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#29

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ridgely Township, selected other county subdivisions in the United States, and entities that contain the Ridgely Township
Female
Male
0x5x10xFM#RidgelyTract 480100G.F.W.Nicollet1, CharlotteZIP 55332DetroitMankato AreaBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.143%7.14%-1.000000x-1.000000x1.789474x1.789474x1.79x4.545%4.55%8.134%8.13%-1.000000x-1.000000x1.348471x1.348471x1.35x10.911%10.9%14.713%14.7%-1.000000x-1.000000x1.328471x1.328471x1.33x5.525%5.52%7.340%7.34%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.268769x1.268769x1.27x15.589%15.6%19.778%19.8%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.189556x1.189556x1.19x5.497%5.50%6.539%6.54%-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-1.000000x1.136388x1.136388x1.14x6.913%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-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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:
Nicollet
Metro Area:
Mankato Area
ZIP Code:
55332
Unified School District:
G.F.W.
Congressional District:
MN-1
State Senate District:
MN-19
State House District:
MN-19A
Neighboring Townships:
Cairo, Camp, Eden, Home, Milford, Severance, West Newton
Nearby Townships:
Lafayette, Moltke, Prairieville, Wellington