Educational Attainment in Colby, Marathon County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Marathon County and Colby
Colby
Marathon County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma25.228758%36.061155%5.228758%5.2%2463.616558%55.086902%63.616558%63.6%29231.154684%8.851943%31.154684%31.2%143
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 Marathon County at large.
Scope: population of Marathon County and Colby
-200%0%+200%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-85.500303%-85.500303%-85.5%5.229%5.23%36.061%36.1%15.483999%15.483999%+15.5%63.617%63.6%55.087%55.1%251.953062%251.953062%+252.0%31.155%31.2%8.852%8.85%
% percentage with given level in Colby
ref. percentage with given level in Marathon 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 Marathon County and Colby
Colby
Marathon County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.524001%00.871460%1.673351%0.871460%0.9%40.000000%0.000000%0.0%5.538664%02.614379%16.203045%2.614379%2.6%121.742919%12.122094%1.742919%1.7%821.786492%18.848924%21.786492%21.8%10041.830065%36.237978%41.830065%41.8%19219.607843%5.013585%19.607843%19.6%9010.457516%2.548842%10.457516%10.5%481.089325%1.289516%1.089325%1.1%5
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 Marathon County at large.
Scope: population of Marathon County and Colby
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.524%0.52%-47.921299%-47.921299%-47.9%0.871%0.87%1.673%1.67%-100.000000%-100.000000%-100.0%0.000%0%5.539%5.54%-83.864890%-83.864890%-83.9%2.614%2.61%16.203%16.2%-85.621961%-85.621961%-85.6%1.743%1.74%12.122%12.1%15.584807%15.584807%+15.6%21.786%21.8%18.849%18.8%15.431565%15.431565%+15.4%41.830%41.8%36.238%36.2%291.094244%291.094244%+291.1%19.608%19.6%5.014%5.01%310.284994%310.284994%+310.3%10.458%10.5%2.549%2.55%-15.524515%-15.524515%-15.5%1.089%1.09%1.290%1.29%
% percentage with given level in Colby
ref. percentage with given level in Marathon 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 Marathon County and Colby
More Females More Males
Marathon County
Colby
0%50%100%150%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-8.364389%196.969697%196.969697%197%3.061%3.06%9.091%9.09%-16.380236%-16.380236%16%2.430080%67.007%67.0%57.576%57.6%11.363636%19.467848%11.363636%11%29.932%29.9%33.333%33.3%
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 Marathon County and Colby
More Females More Males
Marathon County
Colby
0%500%1,000%FMProfessional1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%75.104791%1,000.000000%> 1000%0.000%0%2.424%2.42%-13.319965%27.272727%27.272727%27%2.381%2.38%3.030%3.03%-0.492212%434.545455%434.545455%435%0.680%0.68%3.636%3.64%-68.367347%-7.404261%-68.367347%68%25.510%25.5%15.152%15.2%2.235469%7.641824%2.235469%2%41.497%41.5%42.424%42.4%-12.244898%-12.244898%12%31.639368%20.408%20.4%18.182%18.2%27.272727%5.494519%27.272727%27%9.524%9.52%12.121%12.1%1,000.000000%5.096354%1,000.000000%> 1000%0.000%0%3.030%3.03%
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 Marathon County and Colby
Colby
Marathon County
0%5%10%15%20%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%10.248807%01336.250000%14.511853%6.250000%6.3%81285.263158%20.019519%5.263158%5.3%4760.000000%0.000000%0.0%24.240751%0122
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 Marathon County at large.
Scope: population of Marathon County and Colby
100%80%60%40%20%0%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%10.249%10.2%-56.931757%-56.931757%56.9%6.250%6.25%14.512%14.5%-73.709869%-73.709869%73.7%5.263%5.26%20.020%20.0%-100.000000%-100.000000%100.0%0.000%0%24.241%24.2%
% percentage in Colby with a Bachelor's degree
ref percentage in Marathon 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 Marathon County and Colby
More Females More Males
Marathon County
Colby
1,000%500%0%FM45-6435-44-18.686778%101.149425%101.149425%101.1%4.286%4.29%8.621%8.62%-1,000.000000%-25.824748%-1,000.000000%> 1000%8.889%8.89%0.000%0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Marathon County and Colby
Colby
Marathon County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$41,000.000000$44,887.000000$41,000.000000$41.0k122.614%2.61%$27,778.000000$34,077.000000$27,778.000000$27.8k10823.529%23.5%$29,519.000000$30,984.000000$29,519.000000$29.5k19241.830%41.8%$24,348.000000$23,431.000000$24,348.000000$24.3k14331.155%31.2%$28,580.000000$35,578.000000$28,580.000000$28.6k459100.000%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 Marathon County and Colby
Female Male
Marathon County
Colby
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeH.S. Diploma2Total$-23,333.000000$-5,834.000000$-27,969.000000$-29,167.000000$29.2k$23,333.000000$27,969.000000$14,619.000000$23,333.000000$23.3k7731$-28,462.000000$-25,425.000000$-28,462.000000$28.5k$28,462.000000$4,455.000000$25,425.000000$10,487.000000$32,917.000000$32.9k12270$-28,523.000000$-30,478.000000$-28,523.000000$28.5k$28,523.000000$1,894.000000$30,478.000000$10,883.000000$30,417.000000$30.4k294165
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 Marathon County and Colby
Colby
Marathon County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%86.947640%100.000000%100.0%1664.705882%82.383610%64.705882%64.7%6682.031250%78.967930%82.031250%82.0%10542.500000%56.261920%42.500000%42.5%34
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 Marathon County and Colby
Female Male
Marathon County
Colby
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1AsianHispanic2Other1-20.930233%-1.234716%-6.531413%-22.164948%22.2%20.930233%6.531413%1.590700%20.930233%20.9%2743-0.000000%-22.915452%-10.647911%0.000000%0.0%0.000000%100.000000%22.915452%100.000000%100.0%30-46.391753%-38.391502%-46.391753%46.4%46.391753%46.200840%38.391502%16.082771%92.592593%92.6%2545-66.666667%-33.333333%-20.000000%-6.332288%-100.000000%100.0%66.666667%20.000000%66.666667%66.7%1041
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 Marathon County and Colby
Female Male
Marathon County
Colby
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1AsianHispanic2Other1-3.608247%-23.280733%-2.468371%-3.608247%3.6%3.608247%3.368497%23.280733%6.976744%7.0%97-0.000000%-14.810496%-2.441700%0.000000%0.0%0.000000%0.000000%14.810496%0.000000%0.0%00-0.000000%-3.467562%-9.582514%0.000000%0.0%0.000000%0.000000%3.467562%0.000000%0.0%00-0.000000%-16.181818%-11.090909%0.000000%0.0%0.000000%0.000000%16.181818%0.000000%0.0%00
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 Wausau Area

There are 62 county subdivisions in the Wausau Area. This section compares Colby to the 50 most populous county subdivisions in the Wausau Area and to those entities that contain or substantially overlap with Colby. The least populous of the compared county subdivisions has a population of 547.

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 Colby, selected other county subdivisions in the Wausau Area, and entities that contain Colby
0%10%20%30%Count#ColbyAbbotsfordTown of BernTown of HalseyHalseyColbyTown of HoltonHolton002200Tract 002200ZIP Code 54421ZIP 54421Colby School DistrictColbyTown of JohnsonJohnsonTown of WienTown of BeventBeventTown of WausauWausauTown of HewittHewittUnited States of AmericaUnited StatesTown of FrankfortFrankfortTown of HamburgHamburgSpencerTown of PloverPloverMarshfieldTown of HullAthensWausauEast North CentralTown of DayMidwestTown of ReidTown of TexasTown of ClevelandClevelandTown of EmmetWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MarathonMarathonTown of Eau PleineEau PleineWisconsinWestonEdgarTown of RietbrockRietbrockTown of SpencerSpencerMarathon CityTown of ElderonElderonSchofieldRothschildTown of BerlinBerlinTown of RingleRingleTown of EastonEastonTown of KnowltonKnowltonMosineeTown of MosineeMosineeMaineTown of Rib FallsRib FallsTown of McMillanMcMillanTown of CasselCasselStratfordTown of BergenBergenKronenwetterTown of StettinStettinTown of NorrieNorrieTown of Rib MountainRib MtnTown of WestonWeston31.154684%31.154684%31.2%143130.303030%30.303030%30.3%120226.968974%26.968974%27.0%113322.885572%22.885572%22.9%92421.877424%21.877424%21.9%28221.644295%21.644295%21.6%129521.261884%21.261884%21.3%49220.596459%20.596459%20.6%44219.933947%19.933947%19.9%84519.696970%19.696970%19.7%117616.901408%16.901408%16.9%84715.357143%15.357143%15.4%129813.610315%13.610315%13.6%285913.539652%13.539652%13.5%701013.020590%13.020590%13.0%27,818,38027.8M11.805556%11.805556%11.8%511111.680000%11.680000%11.7%731211.544228%11.544228%11.5%1541311.428571%11.428571%11.4%521411.397059%11.397059%11.4%621511.368910%11.368910%11.4%491611.263318%11.263318%11.3%741710.776184%10.776184%10.8%2,8851810.719464%10.719464%10.7%3,363,7843.36M10.682493%10.682493%10.7%721910.244520%10.244520%10.2%4,641,8354.64M9.554140%9.554140%9.6%90209.464417%9.464417%9.5%129219.426628%9.426628%9.4%97229.090909%9.090909%9.1%57238.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.729140%8.729140%8.7%68248.655617%8.655617%8.7%47258.637220%8.637220%8.6%336,096336k8.405563%8.405563%8.4%834268.102564%8.102564%8.1%79277.573416%7.573416%7.6%49287.284768%7.284768%7.3%77297.178969%7.178969%7.2%71306.537530%6.537530%6.5%27316.483301%6.483301%6.5%99326.110962%6.110962%6.1%228336.074074%6.074074%6.1%41345.758313%5.758313%5.8%71355.484694%5.484694%5.5%43365.430183%5.430183%5.4%77375.414127%5.414127%5.4%151385.191257%5.191257%5.2%76394.885404%4.885404%4.9%81404.801097%4.801097%4.8%35414.464286%4.464286%4.5%65424.454685%4.454685%4.5%29434.315886%4.315886%4.3%47444.230769%4.230769%4.2%22454.026983%4.026983%4.0%197463.813318%3.813318%3.8%67473.314917%3.314917%3.3%24482.769298%2.769298%2.8%127492.320186%2.320186%2.3%1050
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 Colby, selected other county subdivisions in the Wausau Area, and entities that contain Colby
0%10%20%30%40%Count#MarshfieldTown of Rib MountainRib MtnTown of StettinStettinTown of McMillanMcMillanKronenwetterTown of WestonWestonUnited States of AmericaUnited StatesMaineMidwestEast North CentralWisconsinTown of BergenBergenRothschildTown of KnowltonKnowltonWestonTown of RingleRingleWausauMosineeWausau Metro AreaWausau AreaMarathon CountyMarathonTown of MosineeMosineeTown of BerlinBerlinTown of MarathonMarathonStratfordTown of SpencerSpencerTown of NorrieNorrieTown of RietbrockRietbrockTown of CasselCasselTown of Rib FallsRib FallsTown of EastonEastonTown of DayMarathon CityAthensTown of HewittHewittTown of ClevelandClevelandTown of PloverPloverTown of TexasTown of WienTown of WausauWausauTown of EmmetEdgarTown of ElderonElderonTown of Eau PleineEau PleineTown of HamburgHamburgSpencerSchofieldTown of ReidTown of HalseyHalseyTown of FrankfortFrankfortTown of HoltonHoltonTown of HullTown of JohnsonJohnsonColbyTown of BernZIP Code 54421ZIP 54421Colby School DistrictColbyTown of BeventBevent002200Tract 002200AbbotsfordColby43.014706%43.014706%43.0%234139.795028%39.795028%39.8%1,825238.929994%38.929994%38.9%684336.950549%36.950549%37.0%538432.849550%32.849550%32.8%1,607531.554524%31.554524%31.6%136630.315023%30.315023%30.3%64,767,78764.8M29.794934%29.794934%29.8%494728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.500000%27.500000%27.5%143826.722058%26.722058%26.7%997926.657264%26.657264%26.7%3781026.043136%26.043136%26.0%2,5841125.790754%25.790754%25.8%3181225.519199%25.519199%25.5%6,8321324.381499%24.381499%24.4%6801423.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.224044%23.224044%23.2%3401521.629630%21.629630%21.6%1461621.052632%21.052632%21.1%1641720.385675%20.385675%20.4%2221819.962157%19.962157%20.0%2111919.889503%19.889503%19.9%1442019.010819%19.010819%19.0%1232118.740399%18.740399%18.7%1222218.106996%18.106996%18.1%1322317.984694%17.984694%18.0%1412417.952522%17.952522%18.0%1212517.391304%17.391304%17.4%1722616.894977%16.894977%16.9%1112716.827853%16.827853%16.8%872816.520894%16.520894%16.5%1702916.263736%16.263736%16.3%743015.847395%15.847395%15.8%2163115.492958%15.492958%15.5%773214.899713%14.899713%14.9%3123314.513557%14.513557%14.5%913414.153846%14.153846%14.2%1383513.559322%13.559322%13.6%563613.259669%13.259669%13.3%723712.960000%12.960000%13.0%813812.743628%12.743628%12.7%1703912.442698%12.442698%12.4%1904011.889597%11.889597%11.9%1124110.945274%10.945274%10.9%444210.648148%10.648148%10.6%46439.899329%9.899329%9.9%59449.744780%9.744780%9.7%42459.595960%9.595960%9.6%57468.999224%8.999224%9.0%1168.830549%8.830549%8.8%37478.620690%8.620690%8.6%1858.563340%8.563340%8.6%3637.857143%7.857143%7.9%66487.735523%7.735523%7.7%1794.040404%4.040404%4.0%16493.485839%3.485839%3.5%1650
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 Colby, selected other county subdivisions in the Wausau Area, and entities that contain Colby
0%5%10%Count#MarshfieldTown of McMillanMcMillanTown of Rib MountainRib MtnTown of StettinStettinTown of WestonWestonUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinMaineMarathon CityWausauTown of KnowltonKnowltonWausau Metro AreaWausau AreaMarathon CountyMarathonColbyEdgarTown of SpencerSpencerKronenwetterTown of WienMosineeTown of EastonEastonTown of DayTown of Eau PleineEau PleineTown of ClevelandClevelandTown of RietbrockRietbrockTown of NorrieNorrieTown of RingleRingleTown of Rib FallsRib FallsZIP Code 54421ZIP 54421WestonSchofieldAthensSpencerTown of ReidTown of MosineeMosineeTown of HullTown of FrankfortFrankfortTown of PloverPloverTown of WausauWausauRothschildTown of ElderonElderonTown of BergenBergenTown of BerlinBerlinColby School DistrictColbyColbyStratford002200Tract 002200Town of HalseyHalseyTown of HoltonHoltonTown of MarathonMarathonTown of HamburgHamburgTown of EmmetTown of BeventBeventTown of HewittHewittTown of JohnsonJohnsonTown of TexasTown of BernTown of CasselCasselAbbotsford11.948529%11.948529%11.9%65110.233516%10.233516%10.2%14927.522896%7.522896%7.5%34534.894707%4.894707%4.9%8644.176334%4.176334%4.2%1853.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.653800%2.653800%2.7%4462.426694%2.426694%2.4%2472.416704%2.416704%2.4%64782.397743%2.397743%2.4%3492.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0381.939488%1.939488%1.9%251.743590%1.743590%1.7%17101.702933%1.702933%1.7%18111.676206%1.676206%1.7%82121.609658%1.609658%1.6%8131.577626%1.577626%1.6%44141.530612%1.530612%1.5%12151.483680%1.483680%1.5%10161.473297%1.473297%1.5%8171.457726%1.457726%1.5%15181.391036%1.391036%1.4%9191.381215%1.381215%1.4%10201.378751%1.378751%1.4%17211.371742%1.371742%1.4%10221.351351%1.351351%1.4%291.350534%1.350534%1.4%134231.309758%1.309758%1.3%20241.217656%1.217656%1.2%8251.199400%1.199400%1.2%16261.167728%1.167728%1.2%11271.161202%1.161202%1.2%17281.160093%1.160093%1.2%5291.157407%1.157407%1.2%5301.098901%1.098901%1.1%5311.050621%1.050621%1.1%22321.018494%1.018494%1.0%38330.968523%0.968523%1.0%4340.961538%0.961538%1.0%5350.888889%0.888889%0.9%6360.872847%0.872847%0.9%370.871460%0.871460%0.9%4370.826446%0.826446%0.8%9380.777874%0.777874%0.8%180.746269%0.746269%0.7%3390.671141%0.671141%0.7%4400.641849%0.641849%0.6%5410.640000%0.640000%0.6%4420.637959%0.637959%0.6%4430.476190%0.476190%0.5%4440.386847%0.386847%0.4%2450.336700%0.336700%0.3%2460.293470%0.293470%0.3%4470.238663%0.238663%0.2%1480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Colby, selected other county subdivisions in the Wausau Area, and entities that contain Colby
Female
Male
2x0x2x4x6x8xFM#WausauMarathonStettinNorrieFrankfortEastonPloverClevelandRib FallsMcMillanKronenwetterHamburgSpencerCasselElderonTown of ReidBergenTown of TexasHalseyTown of EmmetBeventRib MtnWestonRingleColbyJohnsonTown of DayRietbrockEdgarEau PleineSpencerWisconsinHewittColbyWausau AreaMarathonStratfordKnowltonTown of WienMosineeHoltonMidwestEast North CentralColbyUnited StatesZIP 54421Tract 002200MaineWestonWausauTown of BernMarathon CityTown of HullMosineeAbbotsfordAthensSchofieldRothschildBerlinMarshfield-1.000000x-1.000000x8.679625x8.679625x8.68x2.667%2.67%23.146%23.1%1-1.000000x-1.000000x3.597661x3.597661x3.60x3.631%3.63%13.064%13.1%2-1.000000x-1.000000x3.483685x3.483685x3.48x1.663%1.66%5.792%5.79%3-1.000000x-1.000000x3.218367x3.218367x3.22x1.506%1.51%4.847%4.85%4-1.000000x-1.000000x2.591199x2.591199x2.59x6.404%6.40%16.594%16.6%5-1.000000x-1.000000x2.573427x2.573427x2.57x2.989%2.99%7.692%7.69%6-1.000000x-1.000000x2.526316x2.526316x2.53x6.250%6.25%15.789%15.8%7-1.000000x-1.000000x2.450466x2.450466x2.45x5.400%5.40%13.233%13.2%8-1.000000x-1.000000x2.360000x2.360000x2.36x2.825%2.82%6.667%6.67%9-1.000000x-1.000000x2.254083x2.254083x2.25x2.707%2.71%6.101%6.10%10-1.000000x-1.000000x2.193382x2.193382x2.19x2.548%2.55%5.588%5.59%11-1.000000x-1.000000x2.167464x2.167464x2.17x7.285%7.28%15.789%15.8%12-1.000000x-1.000000x2.164269x2.164269x2.16x4.536%4.54%9.818%9.82%13-1.000000x-1.000000x2.122122x2.122122x2.12x2.830%2.83%6.006%6.01%14-1.000000x-1.000000x2.029268x2.029268x2.03x4.327%4.33%8.780%8.78%15-1.000000x-1.000000x1.879134x1.879134x1.88x6.624%6.62%12.447%12.4%16-1.000000x-1.000000x1.780684x1.780684x1.78x2.966%2.97%5.282%5.28%17-1.000000x-1.000000x1.690009x1.690009x1.69x6.918%6.92%11.692%11.7%18-1.000000x-1.000000x1.509804x1.509804x1.51x18.182%18.2%27.451%27.5%19-1.000000x-1.000000x1.497326x1.497326x1.50x7.237%7.24%10.836%10.8%20-1.000000x-1.000000x1.480769x1.480769x1.48x12.381%12.4%18.333%18.3%21-1.000000x-1.000000x1.416129x1.416129x1.42x2.289%2.29%3.241%3.24%22-1.000000x-1.000000x1.411467x1.411467x1.41x6.986%6.99%9.861%9.86%23-1.000000x-1.000000x1.409131x1.409131x1.41x4.746%4.75%6.687%6.69%24-1.000000x-1.000000x1.402139x1.402139x1.40x16.612%16.6%23.292%23.3%-1.000000x-1.000000x1.398107x1.398107x1.40x16.245%16.2%22.713%22.7%25-1.000000x-1.000000x1.369369x1.369369x1.37x8.882%8.88%12.162%12.2%26-1.000000x-1.000000x1.337461x1.337461x1.34x6.481%6.48%8.669%8.67%27-1.000000x-1.000000x1.267677x1.267677x1.27x7.171%7.17%9.091%9.09%28-1.000000x-1.000000x1.266763x1.266763x1.27x7.570%7.57%9.589%9.59%29-1.000000x-1.000000x1.261571x1.261571x1.26x10.316%10.3%13.015%13.0%30-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.210693x1.210693x1.21x12.261%12.3%14.844%14.8%31-1.000000x-1.000000x1.195557x1.195557x1.20x20.190%20.2%24.138%24.1%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.167315x1.167315x1.17x4.000%4.00%4.669%4.67%32-1.000000x-1.000000x1.160950x1.160950x1.16x5.000%5.00%5.805%5.80%33-1.000000x-1.000000x1.159091x1.159091x1.16x15.686%15.7%18.182%18.2%34-1.000000x-1.000000x1.137963x1.137963x1.14x5.049%5.05%5.746%5.75%35-1.000000x-1.000000x1.131941x1.131941x1.13x20.217%20.2%22.884%22.9%36-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%37-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.087453x1.087453x1.09x19.791%19.8%21.522%21.5%-1.008750x-1.008750x1.01x1.000000x1.000000x21.351%21.4%21.166%21.2%-1.021379x-1.021379x1.02x1.000000x1.000000x4.938%4.94%4.835%4.83%38-1.062201x-1.062201x1.06x1.000000x1.000000x2.392%2.39%2.252%2.25%39-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%40-1.084465x-1.084465x1.08x1.000000x1.000000x28.037%28.0%25.854%25.9%41-1.086037x-1.086037x1.09x1.000000x1.000000x7.475%7.47%6.883%6.88%42-1.234698x-1.234698x1.23x1.000000x1.000000x12.621%12.6%10.222%10.2%43-1.252575x-1.252575x1.25x1.000000x1.000000x5.830%5.83%4.654%4.65%44-1.255319x-1.255319x1.26x1.000000x1.000000x33.333%33.3%26.554%26.6%45-1.437961x-1.437961x1.44x1.000000x1.000000x13.196%13.2%9.177%9.18%46-1.500647x-1.500647x1.50x1.000000x1.000000x7.762%7.76%5.172%5.17%47-1.784110x-1.784110x1.78x1.000000x1.000000x7.540%7.54%4.226%4.23%48-2.064636x-2.064636x2.06x1.000000x1.000000x8.282%8.28%4.011%4.01%49-2.480658x-2.480658x2.48x1.000000x1.000000x16.296%16.3%6.569%6.57%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 Colby, selected other county subdivisions in the Wausau Area, and entities that contain Colby
Female
Male
10x5x0x5x10xFM#SchofieldTown of TexasBeventEastonMarathonEau PleineColbyBergenMosineeColbyRib MtnMcMillanWausauWestonZIP 54421SpencerTown of ReidColbyEast North CentralMidwestWisconsinUnited StatesStettinRothschildWausau AreaMarathonWestonMaineTown of HullNorriePloverMarshfieldTract 002200ElderonMarathon CityEdgarTown of EmmetHoltonAthensKnowltonMosineeStratfordTown of DayRingleKronenwetterRietbrockClevelandRib FallsWausauSpencerJohnsonHamburgBerlinTown of WienTown of BernHalseyHewittFrankfort-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.653%2.65%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.550%0.55%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.952%0.95%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.885%2.88%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.188%1.19%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.740%2.74%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.761%1.76%8-1.000000x-1.000000x6.311321x6.311321x6.31x0.299%0.30%1.887%1.89%9-1.000000x-1.000000x2.381125x2.381125x2.38x1.220%1.22%2.904%2.90%-1.000000x-1.000000x2.125840x2.125840x2.13x4.798%4.80%10.199%10.2%10-1.000000x-1.000000x2.020543x2.020543x2.02x6.695%6.70%13.528%13.5%11-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%12-1.000000x-1.000000x1.882883x1.882883x1.88x2.871%2.87%5.405%5.41%13-1.000000x-1.000000x1.878788x1.878788x1.88x0.959%0.96%1.802%1.80%-1.000000x-1.000000x1.843636x1.843636x1.84x1.183%1.18%2.182%2.18%14-1.000000x-1.000000x1.727848x1.727848x1.73x0.855%0.85%1.477%1.48%15-1.000000x-1.000000x1.660782x1.660782x1.66x0.657%0.66%1.091%1.09%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.477927x1.477927x1.48x3.919%3.92%5.792%5.79%16-1.000000x-1.000000x1.465368x1.465368x1.47x0.848%0.85%1.243%1.24%17-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.385628x1.385628x1.39x1.135%1.13%1.572%1.57%18-1.000000x-1.000000x1.379717x1.379717x1.38x2.222%2.22%3.066%3.07%19-1.000000x-1.000000x1.373333x1.373333x1.37x0.971%0.97%1.333%1.33%20-1.000000x-1.000000x1.270408x1.270408x1.27x1.205%1.20%1.531%1.53%21-1.000000x-1.000000x1.263158x1.263158x1.26x0.962%0.96%1.215%1.21%22-1.000000x-1.000000x1.149635x1.149635x1.15x11.111%11.1%12.774%12.8%23-1.000000x-1.000000x1.075336x1.075336x1.08x0.751%0.75%0.807%0.81%-1.000000x-1.000000x1.014634x1.014634x1.01x0.962%0.96%0.976%0.98%24-1.000000x-1.000000x1.002024x1.002024x1.00x2.424%2.42%2.429%2.43%25-1.060010x-1.060010x1.06x1.000000x1.000000x1.793%1.79%1.691%1.69%26-1.062500x-1.062500x1.06x1.000000x1.000000x0.658%0.66%0.619%0.62%27-1.151625x-1.151625x1.15x1.000000x1.000000x0.722%0.72%0.627%0.63%28-1.544477x-1.544477x1.54x1.000000x1.000000x1.466%1.47%0.949%0.95%29-1.640693x-1.640693x1.64x1.000000x1.000000x3.030%3.03%1.847%1.85%30-1.749812x-1.749812x1.75x1.000000x1.000000x2.035%2.03%1.163%1.16%31-1.787826x-1.787826x1.79x1.000000x1.000000x1.043%1.04%0.584%0.58%32-1.825658x-1.825658x1.83x1.000000x1.000000x1.974%1.97%1.081%1.08%33-1.998023x-1.998023x2.00x1.000000x1.000000x1.864%1.86%0.933%0.93%34-2.040666x-2.040666x2.04x1.000000x1.000000x2.229%2.23%1.092%1.09%35-3.489198x-3.489198x3.49x1.000000x1.000000x2.160%2.16%0.619%0.62%36-4.232000x-4.232000x4.23x1.000000x1.000000x2.400%2.40%0.567%0.57%37-4.237288x-4.237288x4.24x1.000000x1.000000x2.260%2.26%0.533%0.53%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.256%2.26%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.201%2.20%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.722%0.72%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.325%1.32%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.840%1.84%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.137%3.14%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.467%0.47%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.515%1.52%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.766%0.77%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.463%2.46%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

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

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Colby, selected other county subdivisions in Wisconsin, and entities that contain Colby
0%10%20%30%Count#ColbyColby002200Tract 002200ZIP Code 54421ZIP 54421Colby School DistrictColbyBeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeWausau Metro AreaWausau AreaMarathon CountyMarathonMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon31.154684%31.154684%31.2%14321.877424%21.877424%21.9%28221.261884%21.261884%21.3%49220.596459%20.596459%20.6%44219.933947%19.933947%19.9%84518.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
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 Colby, selected other county subdivisions in Wisconsin, and entities that contain Colby
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayWest AllisWausau Metro AreaWausau AreaMarathon CountyMarathonFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin RapidsColbyZIP Code 54421ZIP 54421Colby School DistrictColby002200Tract 002200Colby63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,003508.999224%8.999224%9.0%1168.620690%8.620690%8.6%1858.563340%8.563340%8.6%3637.735523%7.735523%7.7%1793.485839%3.485839%3.5%16
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 Colby, selected other county subdivisions in Wisconsin, and entities that contain Colby
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWausau Metro AreaWausau AreaMarathon CountyMarathonWaukeshaMilwaukeeColbyGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardZIP Code 54421ZIP 54421CudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeColby School DistrictColbyColbySheboyganAshwaubenon002200Tract 00220011.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.939488%1.939488%1.9%251.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.351351%1.351351%1.4%291.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.872847%0.872847%0.9%370.871460%0.871460%0.9%40.868820%0.868820%0.9%284490.784576%0.784576%0.8%94500.777874%0.777874%0.8%18
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 Colby, selected other county subdivisions in Wisconsin, and entities that contain Colby
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayColbyPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownColbyWausau AreaMarathonMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaColbyUnited StatesEau ClaireWisconsin RapidsZIP 54421Menomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahTract 002200FitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.402139x1.402139x1.40x16.612%16.6%23.292%23.3%-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.195557x1.195557x1.20x20.190%20.2%24.138%24.1%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.087453x1.087453x1.09x19.791%19.8%21.522%21.5%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.008750x-1.008750x1.01x1.000000x1.000000x21.351%21.4%21.166%21.2%-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Colby, selected other county subdivisions in Wisconsin, and entities that contain Colby
Female
Male
0x5x10xFM#ColbyNeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardColbyMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauZIP 54421FitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisWauwatosaColbyWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonWausau AreaMarathonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaTract 002200OconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.381125x2.381125x2.38x1.220%1.22%2.904%2.90%-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.878788x1.878788x1.88x0.959%0.96%1.802%1.80%-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.660782x1.660782x1.66x0.657%0.66%1.091%1.09%-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.075336x1.075336x1.08x0.751%0.75%0.807%0.81%-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Colby to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Colby. 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 Colby, selected other county subdivisions in the Midwest, and entities that contain Colby
0%10%20%30%Count#Aurora TownshipAuroraColbyCenter TownshipCtrKansas CityColbyCleveland002200Tract 002200Wayne TownshipWayneDetroitZIP Code 54421ZIP 54421Colby School DistrictColbyMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWausau Metro AreaWausau AreaMarathon CountyMarathonWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k131.154684%31.154684%31.2%14323.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.877424%21.877424%21.9%28221.582420%21.582420%21.6%54,98155.0k421.261884%21.261884%21.3%49221.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k620.596459%20.596459%20.6%44219.933947%19.933947%19.9%84517.485105%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%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
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 Colby, selected other county subdivisions in the Midwest, and entities that contain Colby
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthWausau Metro AreaWausau AreaMarathon CountyMarathonMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitColbyZIP Code 54421ZIP 54421Colby School DistrictColby002200Tract 002200Colby72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k508.999224%8.999224%9.0%1168.620690%8.620690%8.6%1858.563340%8.563340%8.6%3637.735523%7.735523%7.7%1793.485839%3.485839%3.5%16
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 Colby, selected other county subdivisions in the Midwest, and entities that contain Colby
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoWausau Metro AreaWausau AreaMarathon CountyMarathonAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthColbyClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityZIP Code 54421ZIP 54421DetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonColby School DistrictColbyColby002200Tract 00220017.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.163955%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%2,049381.939488%1.939488%1.9%251.927780%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%1,300431.351351%1.351351%1.4%291.318660%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%971500.872847%0.872847%0.9%370.871460%0.871460%0.9%40.777874%0.777874%0.8%18
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 Colby, selected other county subdivisions in the Midwest, and entities that contain Colby
Female
Male
1x0x1xFM#ColbyCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonColbyWausau AreaMarathonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonColbySioux FallsUnited StatesOlatheWorthNOverland ParkZIP 54421AuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronTract 002200Ann ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.402139x1.402139x1.40x16.612%16.6%23.292%23.3%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.195557x1.195557x1.20x20.190%20.2%24.138%24.1%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%-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-1.000000x1.087453x1.087453x1.09x19.791%19.8%21.522%21.5%-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%42-1.008750x-1.008750x1.01x1.000000x1.000000x21.351%21.4%21.166%21.2%-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Colby, selected other county subdivisions in the Midwest, and entities that contain Colby
Female
Male
0x5x10xFM#ColbyColbyRockfordNDaytonSioux FallsCapitalLawrenceZIP 54421Downers GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaColbyFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineWausau AreaMarathonSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthTract 002200DetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%-1.000000x-1.000000x2.381125x2.381125x2.38x1.220%1.22%2.904%2.90%-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-1.000000x1.878788x1.878788x1.88x0.959%0.96%1.802%1.80%-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.660782x1.660782x1.66x0.657%0.66%1.091%1.09%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.075336x1.075336x1.08x0.751%0.75%0.807%0.81%-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 Colby to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Colby. 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 Colby, selected other county subdivisions in the United States, and entities that contain Colby
0%10%20%30%Count#ColbySan Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonColbyMiami002200Tract 002200DetroitNortheast DallasNE DallasZIP Code 54421ZIP 54421East San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynColby School DistrictColbyLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWausau Metro AreaWausau AreaMarathon CountyMarathonSeattleWisconsinNortheast TarrantNE TarrantPlanoSeattle East31.154684%31.154684%31.2%14328.998944%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%457,347457k921.877424%21.877424%21.9%28221.818150%21.818150%21.8%149,688150k1021.261884%21.261884%21.3%49221.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.596459%20.596459%20.6%44220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.933947%19.933947%19.9%84519.402518%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%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.851943%8.851943%8.9%8,2108.851943%8.851943%8.9%8,2108.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
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 Colby, selected other county subdivisions in the United States, and entities that contain Colby
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthWausau Metro AreaWausau AreaMarathon CountyMarathonSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitColbyZIP Code 54421ZIP 54421Colby School DistrictColby002200Tract 002200Colby60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.939061%23.939061%23.9%22,20322.2k23.939061%23.939061%23.9%22,20322.2k23.764821%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%271,037271k4521.071885%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%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k508.999224%8.999224%9.0%1168.620690%8.620690%8.6%1858.563340%8.563340%8.6%3637.735523%7.735523%7.7%1793.485839%3.485839%3.5%16
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 Colby, selected other county subdivisions in the United States, and entities that contain Colby
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioWausau Metro AreaWausau AreaMarathon CountyMarathonFort WorthLas VegasMilwaukeeColbySan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxZIP Code 54421ZIP 54421DetroitColby School DistrictColbyColby002200Tract 00220012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.197352%2.197352%2.2%2,0382.197352%2.197352%2.2%2,0382.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.939488%1.939488%1.9%251.807306%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%15,06415.1k491.351351%1.351351%1.4%291.318660%1.318660%1.3%5,693500.872847%0.872847%0.9%370.871460%0.871460%0.9%40.777874%0.777874%0.8%18
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 Colby, selected other county subdivisions in the United States, and entities that contain Colby
Female
Male
1x0x1xFM#Colby1, CharlotteDetroitWisconsinColbyWausau AreaMarathonBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeColbyUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioZIP 54421San BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Tract 002200Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.402139x1.402139x1.40x16.612%16.6%23.292%23.3%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.195557x1.195557x1.20x20.190%20.2%24.138%24.1%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.194678x1.194678x1.19x8.073%8.07%9.644%9.64%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.113636x1.113636x1.11x29.932%29.9%33.333%33.3%-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-1.000000x1.087453x1.087453x1.09x19.791%19.8%21.522%21.5%-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%36-1.008750x-1.008750x1.01x1.000000x1.000000x21.351%21.4%21.166%21.2%-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Colby, selected other county subdivisions in the United States, and entities that contain Colby
Female
Male
0x5x10xFM#ColbyColbyEl PasoSalt Lk CityZIP 54421PlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoColbyPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyWausau AreaMarathonE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoTract 002200Detroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.424%2.42%-1.000000x-1.000000x2.381125x2.381125x2.38x1.220%1.22%2.904%2.90%-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-1.000000x1.878788x1.878788x1.88x0.959%0.96%1.802%1.80%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.660782x1.660782x1.66x0.657%0.66%1.091%1.09%-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.452508x1.452508x1.45x1.795%1.79%2.607%2.61%-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.075336x1.075336x1.08x0.751%0.75%0.807%0.81%-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Marathon
Metro Area:
Wausau Area
City:
Colby
ZIP Code:
54421
Unified School District:
Colby
Congressional District:
WI-7
State Senate District:
WI-23
Assembly District:
WI-69
Neighboring Towns:
Colby, Hull
Nearby Towns:
Brighton, Green Grove, Holton, Mayville, Unity