Educational Attainment in Bigelow, Nobles County, Minnesota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Nobles County and Bigelow
Bigelow
Nobles County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma220.833333%23.197021%20.833333%20.8%3047.916667%54.071475%47.916667%47.9%6931.250000%22.731505%31.250000%31.3%45
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 Nobles County at large.
Scope: population of Nobles County and Bigelow
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-10.189616%-10.189616%-10.2%20.833%20.8%23.197%23.2%-11.382726%-11.382726%-11.4%47.917%47.9%54.071%54.1%37.474401%37.474401%+37.5%31.250%31.3%22.732%22.7%
% percentage with given level in Bigelow
ref. percentage with given level in Nobles 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 Nobles County and Bigelow
Bigelow
Nobles County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.444031%00.000000%0.000000%0.0%0.866576%01.388889%2.692831%1.388889%1.4%25.555556%9.503688%5.555556%5.6%813.888889%9.689895%13.888889%13.9%2019.444444%20.826470%19.444444%19.4%2828.472222%33.245005%28.472222%28.5%4129.166667%8.458068%29.166667%29.2%422.083333%10.649574%2.083333%2.1%30.000000%0.000000%0.0%3.623863%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Nobles County at large.
Scope: population of Nobles County and Bigelow
-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%0.444%0.44%-100.000000%-100.000000%-100.0%0.000%0%0.867%0.87%-48.422725%-48.422725%-48.4%1.389%1.39%2.693%2.69%-41.543163%-41.543163%-41.5%5.556%5.56%9.504%9.50%43.333744%43.333744%+43.3%13.889%13.9%9.690%9.69%-6.635909%-6.635909%-6.6%19.444%19.4%20.826%20.8%-14.356390%-14.356390%-14.4%28.472%28.5%33.245%33.2%244.838414%244.838414%+244.8%29.167%29.2%8.458%8.46%-80.437402%-80.437402%-80.4%2.083%2.08%10.650%10.6%-100.000000%-100.000000%-100.0%0.000%0%3.624%3.62%
% percentage with given level in Bigelow
ref. percentage with given level in Nobles 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 Nobles County and Bigelow
More Females More Males
Nobles County
Bigelow
100%0%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-111.428571%-34.870922%-111.428571%111%28.571%28.6%13.514%13.5%-29.585253%-29.585253%30%2.860401%54.286%54.3%41.892%41.9%160.135135%27.055972%160.135135%160%17.143%17.1%44.595%44.6%
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 Nobles County and Bigelow
More Females More Males
Nobles County
Bigelow
0%500%1,000%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-171.564938%1,000.000000%1,000.000000%> 1000%0.000%0%2.703%2.70%-26.846485%57.657658%57.657658%58%4.286%4.29%6.757%6.76%-499.047619%-33.401025%-499.047619%499%24.286%24.3%4.054%4.05%-123.174603%-18.048389%-123.174603%123%27.143%27.1%12.162%12.2%9.530583%16.238234%9.530583%10%27.143%27.1%29.730%29.7%136.486486%22.135889%136.486486%136%17.143%17.1%40.541%40.5%1,000.000000%18.171525%1,000.000000%> 1000%0.000%0%4.054%4.05%
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 Nobles County and Bigelow
Bigelow
Nobles County
0%2%4%6%8%10%B.X.Total65+45-6435-4425-343.846154%8.856972%3.846154%3.8%1265.797101%8.805151%5.797101%5.8%4694.761905%9.655172%4.761905%4.8%1217.142857%11.408696%7.142857%7.1%228
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 Nobles County at large.
Scope: population of Nobles County and Bigelow
50%40%30%20%10%0%%ref.65+45-6435-4425-34-56.574844%-56.574844%56.6%3.846%3.85%8.857%8.86%-34.162381%-34.162381%34.2%5.797%5.80%8.805%8.81%-50.680272%-50.680272%50.7%4.762%4.76%9.655%9.66%-37.391115%-37.391115%37.4%7.143%7.14%11.409%11.4%
% percentage in Bigelow with a Bachelor's degree
ref percentage in Nobles 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 Nobles County and Bigelow
More Females More Males
Nobles County
Bigelow
1,000%500%0%500%1,000%FM65+45-6435-4425-34-1,000.000000%-1,000.000000%> 1000%44.605015%7.692%7.69%0.000%0%-32.332172%1,000.000000%1,000.000000%> 1000%0.000%0%12.121%12.1%-90.986622%1,000.000000%1,000.000000%> 1000%0.000%0%6.667%6.67%-1,000.000000%-62.813074%-1,000.000000%> 1000%13.333%13.3%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 Nobles County and Bigelow
Bigelow
Nobles County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$38,125.000000$40,334.000000$38,125.000000$38.1k85.556%5.56%$31,250.000000$30,819.000000$31,250.000000$31.3k4833.333%33.3%$41,875.000000$30,283.000000$41,875.000000$41.9k4128.472%28.5%$20,625.000000$28,904.000000$20,625.000000$20.6k4531.250%31.3%$30,000.000000$31,011.000000$30,000.000000$30.0k144100.000%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 Nobles County and Bigelow
Female Male
Nobles County
Bigelow
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40k$60kFMSome CollegeH.S. Diploma2Total$-30,341.000000$-24,398.000000$-30,341.000000$30.3k$30,341.000000$15,076.000000$24,398.000000$17,167.000000$45,417.000000$45.4k3612$-31,667.000000$-24,571.000000$-31,667.000000$31.7k$31,667.000000$28,750.000000$24,571.000000$7,689.000000$60,417.000000$60.4k1922$-29,625.000000$-643.000000$-25,974.000000$-30,268.000000$30.3k$29,625.000000$25,974.000000$9,394.000000$29,625.000000$29.6k7074
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 Nobles County and Bigelow
Bigelow
Nobles County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%92.066806%100.000000%100.0%775.555556%86.011561%75.555556%75.6%3493.103448%79.762629%93.103448%93.1%2754.054054%65.750615%54.054054%54.1%20
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 Nobles County and Bigelow
Female Male
Nobles County
Bigelow
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1Hispanic2-3.921569%-7.783251%-3.921569%3.9%3.921569%25.623886%7.783251%3.323289%29.545455%29.5%132-52.631579%-66.049383%-52.631579%52.6%52.631579%18.796992%66.049383%1.953289%71.428571%71.4%2010
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 Nobles County and Bigelow
Female Male
Nobles County
Bigelow
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%15%MFWhite1Hispanic2-5.882353%-14.582476%-4.097327%-5.882353%5.9%5.882353%10.026738%14.582476%15.909091%15.9%73-0.000000%-0.267201%-2.290118%0.000000%0.0%0.000000%0.000000%0.267201%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 Worthington Area

There are 31 county subdivisions in the Worthington Area. This section compares Bigelow to all of the county subdivisions in the Worthington Area and to those entities that contain or substantially overlap with Bigelow.

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 Bigelow, selected other county subdivisions in the Worthington Area, and entities that contain Bigelow
0%10%20%30%Count#WorthingtonBigelowBigelowWorthington Public School DistrictWorthingtonZIP Code 56117ZIP 56117Ransom TownshipRansomWorthington Metro AreaWorthingtonNobles CountyNoblesEllsworthLismoreDundeeWestside TownshipWestside105300Tract 105300United States of AmericaUnited StatesBrewsterLismore TownshipLismoreRound LakeLorain TownshipLorainLeota TownshipLeotaWilmontBloom TownshipBloomLarkin TownshipLarkinMidwestWest North CentralRushmoreDewald TownshipDewaldSummit Lake TownshipSummit LkElk TownshipBigelow TownshipBigelowMinnesotaAdrianSeward TownshipSewardOlney TownshipOlneyGraham Lakes TownshipGraham LksWorthington TownshipWorthingtonLittle Rock TownshipLittle RockWilmont TownshipWilmontHersey TownshipHerseyIndian Lake TownshipIndian LkGrand Prairie TownshipGrand PrairieKinbrae32.352941%32.352941%32.4%2,541131.250000%31.250000%31.3%4531.250000%31.250000%31.3%45227.697408%27.697408%27.7%2,75723.770492%23.770492%23.8%5823.239437%23.239437%23.2%33322.731505%22.731505%22.7%3,17422.731505%22.731505%22.7%3,17419.799499%19.799499%19.8%79418.666667%18.666667%18.7%28518.421053%18.421053%18.4%14614.393939%14.393939%14.4%19713.255814%13.255814%13.3%22813.020590%13.020590%13.0%27,818,38027.8M12.996390%12.996390%13.0%36812.598425%12.598425%12.6%16912.179487%12.179487%12.2%381011.522634%11.522634%11.5%281111.240310%11.240310%11.2%291211.196911%11.196911%11.2%291310.924370%10.924370%10.9%131410.769231%10.769231%10.8%141510.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.695652%8.695652%8.7%18168.620690%8.620690%8.6%15178.362369%8.362369%8.4%24188.241758%8.241758%8.2%15197.627119%7.627119%7.6%18207.376055%7.376055%7.4%270,121270k6.531532%6.531532%6.5%58216.306306%6.306306%6.3%7226.106870%6.106870%6.1%8235.917160%5.917160%5.9%10245.769231%5.769231%5.8%15255.691057%5.691057%5.7%7264.081633%4.081633%4.1%4273.846154%3.846154%3.8%5282.469136%2.469136%2.5%4292.209945%2.209945%2.2%4300.000000%0.000000%0.0%031
Count number of people in category
# rank of county subdivision out of 31 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 Bigelow, selected other county subdivisions in the Worthington Area, and entities that contain Bigelow
0%10%20%30%Count#MinnesotaWorthington TownshipWorthingtonUnited States of AmericaUnited StatesWest North CentralMidwestLorain TownshipLorainSeward TownshipSewardBigelow TownshipBigelowIndian Lake TownshipIndian LkElk TownshipHersey TownshipHerseyWestside TownshipWestsideEllsworthBloom TownshipBloomOlney TownshipOlney105300Tract 105300Lismore TownshipLismoreLittle Rock TownshipLittle RockWilmont TownshipWilmontRushmoreWorthington Public School DistrictWorthingtonGraham Lakes TownshipGraham LksWorthington Metro AreaWorthingtonNobles CountyNoblesGrand Prairie TownshipGrand PrairieWorthingtonAdrianBrewsterSummit Lake TownshipSummit LkRound LakeLeota TownshipLeotaZIP Code 56117ZIP 56117Dewald TownshipDewaldWilmontLismoreRansom TownshipRansomLarkin TownshipLarkinBigelowBigelowDundeeKinbrae34.240609%34.240609%34.2%1,253,9371.25M31.153846%31.153846%31.2%81130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M25.514403%25.514403%25.5%62225.225225%25.225225%25.2%28325.000000%25.000000%25.0%59424.691358%24.691358%24.7%40519.780220%19.780220%19.8%36616.923077%16.923077%16.9%22716.666667%16.666667%16.7%22816.290727%16.290727%16.3%65915.966387%15.966387%16.0%191015.267176%15.267176%15.3%201115.058140%15.058140%15.1%25914.960630%14.960630%15.0%191214.634146%14.634146%14.6%181314.285714%14.285714%14.3%141414.009662%14.009662%14.0%291513.672895%13.672895%13.7%1,36113.609467%13.609467%13.6%231613.507126%13.507126%13.5%1,88613.507126%13.507126%13.5%1,88612.707182%12.707182%12.7%231712.694169%12.694169%12.7%9971811.936937%11.936937%11.9%1061911.191336%11.191336%11.2%312011.149826%11.149826%11.1%322110.576923%10.576923%10.6%332210.465116%10.465116%10.5%27239.836066%9.836066%9.8%249.195402%9.195402%9.2%16248.108108%8.108108%8.1%21258.000000%8.000000%8.0%12267.746479%7.746479%7.7%11277.692308%7.692308%7.7%10286.944444%6.944444%6.9%106.944444%6.944444%6.9%10290.000000%0.000000%0.0%0300.000000%0.000000%0.0%031
Count number of people in category
# rank of county subdivision out of 31 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 Bigelow, selected other county subdivisions in the Worthington Area, and entities that contain Bigelow
0%2%4%6%8%Count#Worthington TownshipWorthingtonBloom TownshipBloomMinnesotaUnited States of AmericaUnited StatesWest North CentralGraham Lakes TownshipGraham LksMidwestRound LakeBigelow TownshipBigelowDewald TownshipDewaldWilmont TownshipWilmontIndian Lake TownshipIndian LkOlney TownshipOlneyWorthington Public School DistrictWorthingtonSummit Lake TownshipSummit LkWorthington105300Tract 105300Worthington Metro AreaWorthingtonNobles CountyNoblesGrand Prairie TownshipGrand PrairieLorain TownshipLorainLeota TownshipLeotaRansom TownshipRansomAdrianEllsworthZIP Code 56117ZIP 56117BigelowBrewsterWilmontRushmoreElk TownshipBigelowLarkin TownshipLarkinLismoreWestside TownshipWestsideLismore TownshipLismoreLittle Rock TownshipLittle RockHersey TownshipHerseySeward TownshipSewardDundeeKinbrae8.076923%8.076923%8.1%2115.042017%5.042017%5.0%623.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.958580%2.958580%3.0%532.893416%2.893416%2.9%1,311,0191.31M2.884615%2.884615%2.9%942.542373%2.542373%2.5%652.298851%2.298851%2.3%462.040816%2.040816%2.0%271.851852%1.851852%1.9%381.526718%1.526718%1.5%291.466747%1.466747%1.5%1461.393728%1.393728%1.4%4101.349631%1.349631%1.3%106111.337209%1.337209%1.3%231.310607%1.310607%1.3%1831.310607%1.310607%1.3%1831.104972%1.104972%1.1%2120.823045%0.823045%0.8%2130.775194%0.775194%0.8%2140.704225%0.704225%0.7%1150.675676%0.675676%0.7%6160.501253%0.501253%0.5%2170.409836%0.409836%0.4%10.000000%0.000000%0.0%00.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%031
Count number of people in category
# rank of county subdivision out of 31 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 Bigelow, selected other county subdivisions in the Worthington Area, and entities that contain Bigelow
Female
Male
10x5x0x5xFM#BloomDewaldWestsideSummit LkWilmontOlneyGrand PrairieLismoreBigelowBigelowWorthingtonBigelowLittle RockLismoreZIP 56117WilmontBrewsterLorainRound LakeHerseyElk TownshipRushmoreWorthingtonWorthingtonNoblesWorthingtonRansomWest North CentralMinnesotaMidwestAdrianUnited StatesTract 105300Graham LksLarkinDundeeLeotaSewardEllsworthIndian Lk-1.000000x-1.000000x7.040000x7.040000x7.04x2.273%2.27%16.000%16.0%1-1.000000x-1.000000x5.531915x5.531915x5.53x2.500%2.50%13.830%13.8%2-1.000000x-1.000000x4.869565x4.869565x4.87x4.762%4.76%23.188%23.2%3-1.000000x-1.000000x4.219118x4.219118x4.22x3.311%3.31%13.971%14.0%4-1.000000x-1.000000x3.125000x3.125000x3.13x2.000%2.00%6.250%6.25%5-1.000000x-1.000000x2.865672x2.865672x2.87x3.125%3.13%8.955%8.96%6-1.000000x-1.000000x2.715789x2.715789x2.72x1.163%1.16%3.158%3.16%7-1.000000x-1.000000x2.686567x2.686567x2.69x6.667%6.67%17.910%17.9%8-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%9-1.000000x-1.000000x2.468978x2.468978x2.47x3.252%3.25%8.029%8.03%10-1.000000x-1.000000x2.330275x2.330275x2.33x4.724%4.72%11.009%11.0%11-1.000000x-1.000000x2.304688x2.304688x2.30x3.390%3.39%7.813%7.81%12-1.000000x-1.000000x2.129630x2.129630x2.13x11.594%11.6%24.691%24.7%13-1.000000x-1.000000x2.086559x2.086559x2.09x15.447%15.4%32.231%32.2%-1.000000x-1.000000x1.974803x1.974803x1.97x7.576%7.58%14.961%15.0%14-1.000000x-1.000000x1.971814x1.971814x1.97x8.904%8.90%17.557%17.6%15-1.000000x-1.000000x1.804919x1.804919x1.80x8.036%8.04%14.504%14.5%16-1.000000x-1.000000x1.607808x1.607808x1.61x9.272%9.27%14.907%14.9%17-1.000000x-1.000000x1.454545x1.454545x1.45x3.125%3.13%4.545%4.55%18-1.000000x-1.000000x1.314433x1.314433x1.31x7.059%7.06%9.278%9.28%19-1.000000x-1.000000x1.311881x1.311881x1.31x7.547%7.55%9.901%9.90%20-1.000000x-1.000000x1.281754x1.281754x1.28x24.157%24.2%30.964%31.0%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-1.000000x-1.000000x1.210266x1.210266x1.21x29.141%29.1%35.268%35.3%21-1.000000x-1.000000x1.200000x1.200000x1.20x21.127%21.1%25.352%25.4%22-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125866x1.125866x1.13x6.154%6.15%6.928%6.93%23-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.045394x1.045394x1.05x12.963%13.0%13.551%13.6%-1.036145x-1.036145x1.04x1.000000x1.000000x6.024%6.02%5.814%5.81%24-1.096774x-1.096774x1.10x1.000000x1.000000x11.290%11.3%10.294%10.3%25-1.111111x-1.111111x1.11x1.000000x1.000000x19.444%19.4%17.500%17.5%26-1.611189x-1.611189x1.61x1.000000x1.000000x13.846%13.8%8.594%8.59%27-1.626667x-1.626667x1.63x1.000000x1.000000x8.000%8.00%4.918%4.92%28-2.316436x-2.316436x2.32x1.000000x1.000000x26.728%26.7%11.538%11.5%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.405%5.41%0.000%0%30
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 30 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

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

No H.S. Diploma by County Subdivision#19

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bigelow, selected other county subdivisions in Minnesota, and entities that contain Bigelow
0%10%20%30%Count#BigelowBigelowWorthington Public School DistrictWorthingtonZIP Code 56117ZIP 56117Worthington Metro AreaWorthingtonNobles CountyNoblesFaribaultAustinBrooklyn CenterBrooklyn CtrSt. Paul105300Tract 105300United States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleDuluthRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina31.250000%31.250000%31.3%4531.250000%31.250000%31.3%4527.697408%27.697408%27.7%2,75723.770492%23.770492%23.8%5822.731505%22.731505%22.7%3,17422.731505%22.731505%22.7%3,17416.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.255814%13.255814%13.3%22813.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%9.174633%9.2%1,278,0511.28M7.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bigelow, selected other county subdivisions in Minnesota, and entities that contain Bigelow
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsAustinBrooklyn CenterBrooklyn CtrFaribault105300Tract 105300Worthington Public School DistrictWorthingtonWorthington Metro AreaWorthingtonNobles CountyNoblesZIP Code 56117ZIP 56117BigelowBigelow68.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284625.993543%25.993543%26.0%11,19111.2k4721.410083%21.410083%21.4%3,4744820.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115015.058140%15.058140%15.1%25913.672895%13.672895%13.7%1,36113.507126%13.507126%13.5%1,88613.507126%13.507126%13.5%1,8869.836066%9.836066%9.8%246.944444%6.944444%6.9%106.944444%6.944444%6.9%10
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#21

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bigelow, selected other county subdivisions in Minnesota, and entities that contain Bigelow
0%2%4%6%8%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonWorthington Public School DistrictWorthington105300Tract 105300Worthington Metro AreaWorthingtonNobles CountyNoblesElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastingsZIP Code 56117ZIP 56117BigelowBigelow11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.174045%2.174045%2.2%357322.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.673021%1.673021%1.7%825401.653038%1.653038%1.7%376411.638270%1.638270%1.6%275421.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.466747%1.466747%1.5%1461.337209%1.337209%1.3%231.310607%1.310607%1.3%1831.310607%1.310607%1.3%1831.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.409836%0.409836%0.4%10.000000%0.000000%0.0%00.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#22

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 Bigelow, selected other county subdivisions in Minnesota, and entities that contain Bigelow
Female
Male
1x0x1x2xFM#BigelowBigelowZIP 56117FarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsWorthingtonWorthingtonNoblesFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalTract 105300Cottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%-1.000000x-1.000000x2.086559x2.086559x2.09x15.447%15.4%32.231%32.2%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.281754x1.281754x1.28x24.157%24.2%30.964%31.0%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%19-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%21-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%22-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%23-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%24-1.000000x-1.000000x1.045394x1.045394x1.05x12.963%13.0%13.551%13.6%-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#23

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bigelow, selected other county subdivisions in the Midwest, and entities that contain Bigelow
0%10%20%30%Count#Aurora TownshipAuroraBigelowBigelowWorthington Public School DistrictWorthingtonZIP Code 56117ZIP 56117Center TownshipCtrWorthington Metro AreaWorthingtonNobles CountyNoblesKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. Paul105300Tract 105300Sterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k131.250000%31.250000%31.3%4531.250000%31.250000%31.3%4527.697408%27.697408%27.7%2,75723.770492%23.770492%23.8%5823.165532%23.165532%23.2%22,92622.9k222.731505%22.731505%22.7%3,17422.731505%22.731505%22.7%3,17422.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.255814%13.255814%13.3%22813.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%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#24

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bigelow, selected other county subdivisions in the Midwest, and entities that contain Bigelow
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue Township105300Tract 105300DetroitWorthington Public School DistrictWorthingtonWorthington Metro AreaWorthingtonNobles CountyNoblesZIP Code 56117ZIP 56117BigelowBigelow72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%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%16,95117.0k4915.058140%15.058140%15.1%25913.833543%13.833543%13.8%59,72359.7k5013.672895%13.672895%13.7%1,36113.507126%13.507126%13.5%1,88613.507126%13.507126%13.5%1,8869.836066%9.836066%9.8%246.944444%6.944444%6.9%106.944444%6.944444%6.9%10
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#25

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bigelow, selected other county subdivisions in the Midwest, and entities that contain Bigelow
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNWorthington Public School DistrictWorthingtonSterling HeightsSterling HtsKansas City105300Tract 105300DetroitWorthington Metro AreaWorthingtonNobles CountyNoblesDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonZIP Code 56117ZIP 56117BigelowBigelow17.877867%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%2,782203.458748%3.458748%3.5%126,664127k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.466747%1.466747%1.5%1461.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.337209%1.337209%1.3%231.318660%1.318660%1.3%5,693441.310607%1.310607%1.3%1831.310607%1.310607%1.3%1831.257490%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%971500.409836%0.409836%0.4%10.000000%0.000000%0.0%00.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#26

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 Bigelow, selected other county subdivisions in the Midwest, and entities that contain Bigelow
Female
Male
1x0x1x2xFM#BigelowBigelowZIP 56117WorthingtonWorthingtonNoblesCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandTract 105300PalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%-1.000000x-1.000000x2.086559x2.086559x2.09x15.447%15.4%32.231%32.2%-1.000000x-1.000000x1.281754x1.281754x1.28x24.157%24.2%30.964%31.0%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-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-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.045394x1.045394x1.05x12.963%13.0%13.551%13.6%-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#27

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Bigelow, selected other county subdivisions in the United States, and entities that contain Bigelow
0%10%20%30%Count#BigelowBigelowSan Antonio CentralSan Antonio CntrlBronxWorthington Public School DistrictWorthingtonSan BernardinoLos AngelesSouthwest DallasSW DallasZIP Code 56117ZIP 56117El PasoWorthington Metro AreaWorthingtonNobles CountyNoblesAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenver105300Tract 105300United States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaPlanoSeattle East31.250000%31.250000%31.3%4531.250000%31.250000%31.3%4528.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.697408%27.697408%27.7%2,75727.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.770492%23.770492%23.8%5823.756417%23.756417%23.8%81,30881.3k622.731505%22.731505%22.7%3,17422.731505%22.731505%22.7%3,17422.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.255814%13.255814%13.3%22813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k5.714681%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#28

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Bigelow, selected other county subdivisions in the United States, and entities that contain Bigelow
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan Bernardino105300Tract 105300San Antonio CentralSan Antonio CntrlDetroitWorthington Public School DistrictWorthingtonWorthington Metro AreaWorthingtonNobles CountyNoblesZIP Code 56117ZIP 56117BigelowBigelow60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.058140%15.058140%15.1%25914.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5013.672895%13.672895%13.7%1,36113.507126%13.507126%13.5%1,88613.507126%13.507126%13.5%1,8869.836066%9.836066%9.8%246.944444%6.944444%6.9%106.944444%6.944444%6.9%10
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#29

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Bigelow, selected other county subdivisions in the United States, and entities that contain Bigelow
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…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxWorthington Public School DistrictWorthington105300Tract 105300DetroitWorthington Metro AreaWorthingtonNobles CountyNoblesZIP Code 56117ZIP 56117BigelowBigelow12.461852%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%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.466747%1.466747%1.5%1461.337209%1.337209%1.3%231.318660%1.318660%1.3%5,693501.310607%1.310607%1.3%1831.310607%1.310607%1.3%1830.409836%0.409836%0.4%10.000000%0.000000%0.0%00.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#30

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 Bigelow, selected other county subdivisions in the United States, and entities that contain Bigelow
Female
Male
1x0x1x2xFM#BigelowBigelowZIP 561171, CharlotteWorthingtonWorthingtonNoblesDetroitBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverTract 105300NE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%-1.000000x-1.000000x2.601351x2.601351x2.60x17.143%17.1%44.595%44.6%-1.000000x-1.000000x2.086559x2.086559x2.09x15.447%15.4%32.231%32.2%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.281754x1.281754x1.28x24.157%24.2%30.964%31.0%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-1.000000x-1.000000x1.270560x1.270560x1.27x19.947%19.9%25.344%25.3%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.045394x1.045394x1.05x12.963%13.0%13.551%13.6%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
Nobles
Metro Area:
Worthington Area
City:
Bigelow
ZIP Code:
56117
Unified School District:
Worthington
Congressional District:
MN-1
State Senate District:
MN-22
State House District:
MN-22B
Neighboring Townships:
Bigelow, Ransom, Wilson
Nearby Townships:
Dewald, East Holman, Horton, Indian Lake, Little Rock, Viola, West Holman, Worthington