Educational Attainment in North Custer, Custer County, Montana (Census County Division)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Custer County and North Custer
North Custer
Custer County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma238.557994%33.160996%38.557994%38.6%12356.739812%58.242155%56.739812%56.7%1814.702194%8.596850%4.702194%4.7%15
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 Custer County at large.
Scope: population of Custer County and North Custer
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma216.275139%16.275139%+16.3%38.558%38.6%33.161%33.2%-2.579477%-2.579477%-2.6%56.740%56.7%58.242%58.2%-45.303286%-45.303286%-45.3%4.702%4.70%8.597%8.60%
% percentage with given level in North Custer
ref. percentage with given level in Custer 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 Custer County and North Custer
North Custer
Custer County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.253918%0.529037%1.253918%1.3%40.626959%0.673320%0.626959%0.6%26.269592%3.570999%6.269592%6.3%2019.435737%15.077552%19.435737%19.4%6210.971787%13.310088%10.971787%11.0%3530.721003%27.750391%30.721003%30.7%9826.018809%30.491764%26.018809%26.0%830.940439%5.602982%0.940439%0.9%33.134796%2.332572%3.134796%3.1%100.626959%0.661296%0.626959%0.6%2
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 Custer County at large.
Scope: population of Custer County and North Custer
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None137.019094%137.019094%+137.0%1.254%1.25%0.529%0.53%-6.885356%-6.885356%-6.9%0.627%0.63%0.673%0.67%75.569699%75.569699%+75.6%6.270%6.27%3.571%3.57%28.905121%28.905121%+28.9%19.436%19.4%15.078%15.1%-17.567885%-17.567885%-17.6%10.972%11.0%13.310%13.3%10.704759%10.704759%+10.7%30.721%30.7%27.750%27.8%-14.669388%-14.669388%-14.7%26.019%26.0%30.492%30.5%-83.215386%-83.215386%-83.2%0.940%0.94%5.603%5.60%34.392270%34.392270%+34.4%3.135%3.13%2.333%2.33%-5.192362%-5.192362%-5.2%0.627%0.63%0.661%0.66%
% percentage with given level in North Custer
ref. percentage with given level in Custer 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 Custer County and North Custer
More Females More Males
Custer County
North Custer
50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-78.853503%-30.068148%-78.853503%79%49.682%49.7%27.778%27.8%43.378995%9.904773%43.378995%43%46.497%46.5%66.667%66.7%45.370370%44.227693%45.370370%45%3.822%3.82%5.556%5.56%
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 Custer County and North Custer
More Females More Males
Custer County
North Custer
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-3.184713%-3.184713%0k%68.464700%1.274%1.27%1.235%1.23%1,000.000000%13.927431%1,000.000000%> 1000%0.000%0%1.235%1.23%-828.662420%-60.270965%-828.662420%1k%11.465%11.5%1.235%1.23%-33.757962%-27.947409%-33.757962%0k%22.293%22.3%16.667%16.7%-97.770701%-32.110557%-97.770701%0k%14.650%14.6%7.407%7.41%40.524691%15.879231%40.524691%0k%25.478%25.5%35.802%35.8%46.838758%4.740331%46.838758%0k%21.019%21.0%30.864%30.9%-1,000.000000%-1,000.000000%> 1000%54.081164%1.911%1.91%0.000%0%-4.524542%126.131687%126.131687%0k%1.911%1.91%4.321%4.32%1,000.000000%324.281467%1,000.000000%> 1000%0.000%0%1.235%1.23%
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 Custer County and North Custer
North Custer
Custer County
0%10%20%30%40%B.X.Total65+45-6435-4425-347.142857%9.607578%7.142857%7.1%79824.183007%17.107637%24.183007%24.2%3715315.789474%18.080888%15.789474%15.8%63840.000000%16.126900%40.000000%40.0%1230
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 Custer County at large.
Scope: population of Custer County and North Custer
0%50%100%%ref.65+45-6435-4425-34-25.653924%-25.653924%25.7%7.143%7.14%9.608%9.61%41.357961%41.357961%41.4%24.183%24.2%17.108%17.1%-12.673130%-12.673130%12.7%15.789%15.8%18.081%18.1%148.032787%148.032787%148.0%40.000%40.0%16.127%16.1%
% percentage in North Custer with a Bachelor's degree
ref percentage in Custer 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 Custer County and North Custer
More Females More Males
Custer County
North Custer
0%500%1,000%FM65+45-6435-4425-34-206.818182%-12.093596%-206.818182%206.8%11.364%11.4%3.704%3.70%-37.383966%-37.257317%-37.383966%37.4%27.848%27.8%20.270%20.3%-33.758045%1,000.000000%1,000.000000%> 1000%0.000%0%40.000%40.0%-245.454545%-27.868245%-245.454545%245.5%72.727%72.7%21.053%21.1%
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 Custer County and North Custer
North Custer
Custer County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$37,500.000000$48,462.000000$37,500.000000$37.5k268.150%8.15%$43,750.000000$41,750.000000$43,750.000000$43.8k6219.436%19.4%$30,625.000000$30,599.000000$30,625.000000$30.6k13341.693%41.7%$51,250.000000$26,778.000000$51,250.000000$51.3k8326.019%26.0%$35,833.000000$31,700.000000$35,833.000000$35.8k319100.000%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 Custer County and North Custer
Female Male
Custer County
North Custer
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeSome CollegeTotal$-33,750.000000$-38,804.000000$-33,750.000000$33.8k$33,750.000000$12,292.000000$38,804.000000$7,863.000000$46,042.000000$46.0k3527$-30,625.000000$-26,487.000000$-30,625.000000$30.6k$30,625.000000$0.000000$26,487.000000$12,203.000000$30,625.000000$30.6k6370$-29,688.000000$-27,411.000000$-29,688.000000$29.7k$29,688.000000$14,630.000000$27,411.000000$12,764.000000$44,318.000000$44.3k157162
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 Custer County and North Custer
North Custer
Custer County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.157895%90.853190%88.157895%88.2%6787.912088%82.680105%87.912088%87.9%8089.795918%78.534334%89.795918%89.8%44100.000000%45.478036%100.000000%100.0%5
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Custer County and North Custer
Female Male
Custer County
North Custer
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%8%MFWhite1-3.973510%-6.562267%-3.973510%4.0%3.973510%1.582046%6.562267%2.999589%5.555556%5.6%96
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 Custer County and North Custer
Female Male
Custer County
North Custer
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1-20.370370%-12.742212%-17.886598%-4.783052%-33.112583%33.1%20.370370%17.886598%20.370370%20.4%3350
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 Montana

There are 194 county subdivisions in Montana. This section compares North Custer to the 50 most populous county subdivisions in Montana and to those entities that contain or substantially overlap with North Custer. The least populous of the compared county subdivisions has a population of 3,655.

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 North Custer, selected other county subdivisions in Montana, and entities that contain North Custer
0%5%10%15%Count#Fort Peck ReservationFort Peck Reserva…ShelbyWestCrow ReservationUnited States of AmericaUnited StatesHardinEurekaThompson Falls-West EndThompson Falls-W …LibbyCut BankDeer LodgeMountainHamiltonFlathead ReservationAnacondaBlackfeet ReservationBlackfeet Reservat…ButteConradHuntley ProjectMiles CityCuster CountyCusterCuster County High School DistrictCuster CountyGreat FallsGlendiveManhattanHavreGlasgowBillingsLewistownSidneyMontanaKalispell NorthwestKalispell NWBad Rock-Columbia HeightsBad Rock-Columbi…DillonColumbusColumbia FallsSouth YellowstoneS YellowstoneLincolnFrenchtown-WyeKalispellLaurel961300Tract 961300BoulderHelenaStevensvilleMissoulaNorthwest YellowstoneNW YellowstoneNorth CusterLivingstonRed LodgeShepherdBelgradeLoloCreston-BigforkWhitefishKinsey Elementary School DistrictKinseyGallatin GatewayLakeside-SomersBozeman16.666667%16.666667%16.7%871114.899613%14.899613%14.9%423214.435746%14.435746%14.4%7,178,2187.18M14.371095%14.371095%14.4%529313.020590%13.020590%13.0%27,818,38027.8M12.889186%12.889186%12.9%385412.364281%12.364281%12.4%558512.091715%12.091715%12.1%559611.939879%11.939879%11.9%850711.803714%11.803714%11.8%267811.598600%11.598600%11.6%497911.572881%11.572881%11.6%1,755,2861.76M11.503954%11.503954%11.5%1,7311010.050543%10.050543%10.1%1,730119.911165%9.911165%9.9%569129.591443%9.591443%9.6%547139.441719%9.441719%9.4%2,136149.097396%9.097396%9.1%255158.916968%8.916968%8.9%247168.857372%8.857372%8.9%662178.596850%8.596850%8.6%7158.596850%8.596850%8.6%7158.015219%8.015219%8.0%3,771187.895640%7.895640%7.9%460197.801001%7.801001%7.8%265207.735021%7.735021%7.7%599217.432616%7.432616%7.4%273227.376844%7.376844%7.4%5,605237.243130%7.243130%7.2%485247.110694%7.110694%7.1%379257.105467%7.105467%7.1%49,62749.6k6.996904%6.996904%7.0%226266.719476%6.719476%6.7%246276.709026%6.709026%6.7%359286.689895%6.689895%6.7%192296.565580%6.565580%6.6%433306.264884%6.264884%6.3%342316.032045%6.032045%6.0%256326.024341%6.024341%6.0%297335.825998%5.825998%5.8%1,648345.610065%5.610065%5.6%709355.460751%5.460751%5.5%805.243122%5.243122%5.2%303365.076194%5.076194%5.1%2,002374.943994%4.943994%4.9%512384.845633%4.845633%4.8%2,698394.715447%4.715447%4.7%261404.702194%4.702194%4.7%154.603581%4.603581%4.6%432414.597337%4.597337%4.6%145424.594232%4.594232%4.6%137434.536095%4.536095%4.5%749444.428598%4.428598%4.4%472454.258200%4.258200%4.3%283463.937984%3.937984%3.9%381473.916449%3.916449%3.9%152.845188%2.845188%2.8%102482.182681%2.182681%2.2%92491.417795%1.417795%1.4%46850
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 North Custer, selected other county subdivisions in Montana, and entities that contain North Custer
0%20%40%Count#BozemanGallatin GatewayMissoulaWhitefishBelgradeHelenaLoloLakeside-SomersBoulderRed LodgeNorthwest YellowstoneNW YellowstoneLivingstonCreston-BigforkDillonWestUnited States of AmericaUnited StatesMountainManhattanSouth YellowstoneS YellowstoneMontanaBillingsLincoln961300Tract 961300StevensvilleLewistownKinsey Elementary School DistrictKinseyKalispell NorthwestKalispell NWNorth CusterFrenchtown-WyeGreat FallsLaurelKalispellButteConradHavreHamiltonFlathead ReservationCut BankShepherdBad Rock-Columbia HeightsBad Rock-Columbi…GlasgowColumbusColumbia FallsLibbyCuster CountyCusterCuster County High School DistrictCuster CountyEurekaMiles CityHuntley ProjectSidneyGlendiveHardinAnacondaDeer LodgeThompson Falls-West EndThompson Falls-W …Blackfeet ReservationBlackfeet Reservat…Crow ReservationShelbyFort Peck ReservationFort Peck Reserva…56.127117%56.127117%56.1%18,52718.5k147.921897%47.921897%47.9%1,718244.476373%44.476373%44.5%24,76424.8k343.410853%43.410853%43.4%4,200439.110950%39.110950%39.1%6,458538.799158%38.799158%38.8%15,30215.3k638.168512%38.168512%38.2%4,068737.674970%37.674970%37.7%1,588836.563419%36.563419%36.6%2,113936.081167%36.081167%36.1%1,1381034.128275%34.128275%34.1%1,8891133.919437%33.919437%33.9%3,1831232.560939%32.560939%32.6%2,1641332.293029%32.293029%32.3%1,7281431.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M30.085369%30.085369%30.1%1,0221529.987177%29.987177%30.0%1,6371629.934396%29.934396%29.9%209,072209k29.778497%29.778497%29.8%22,62622.6k1729.524034%29.524034%29.5%1,2531829.351536%29.351536%29.4%43029.277713%29.277713%29.3%3,0321928.285544%28.285544%28.3%1,8942027.937337%27.937337%27.9%10727.739938%27.739938%27.7%8962127.586207%27.586207%27.6%8827.038540%27.038540%27.0%1,3332227.014963%27.014963%27.0%12,71012.7k2327.005855%27.005855%27.0%3,4132425.877612%25.877612%25.9%7,3202525.858639%25.858639%25.9%5,8502625.187299%25.187299%25.2%7062724.780475%24.780475%24.8%1,9192824.722536%24.722536%24.7%3,7202923.679777%23.679777%23.7%4,0763023.474801%23.474801%23.5%5313122.300469%22.300469%22.3%6653221.824638%21.824638%21.8%7993321.753335%21.753335%21.8%7993421.149826%21.149826%21.1%6073520.970432%20.970432%21.0%1,3833619.988762%19.988762%20.0%1,4233719.850908%19.850908%19.9%1,65119.850908%19.850908%19.9%1,65119.676490%19.676490%19.7%8883819.213273%19.213273%19.2%1,4363918.844765%18.844765%18.8%5224018.686679%18.686679%18.7%9964118.589083%18.589083%18.6%1,0834217.643120%17.643120%17.6%5274317.087615%17.087615%17.1%9814416.592765%16.592765%16.6%7114516.417910%16.417910%16.4%7594616.114326%16.114326%16.1%9194714.832926%14.832926%14.8%5464813.878126%13.878126%13.9%3944912.992729%12.992729%13.0%67950
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 North Custer, selected other county subdivisions in Montana, and entities that contain North Custer
0%2%4%6%Count#BozemanWhitefishMissoulaGallatin GatewayDillonCut BankLoloRed LodgeSouth YellowstoneS YellowstoneHelenaCreston-BigforkWestLakeside-SomersBoulderNorthwest YellowstoneNW YellowstoneUnited States of AmericaUnited StatesKalispell NorthwestKalispell NWBelgradeMountainFlathead ReservationLivingstonMontanaKalispellBillingsConradButteHamiltonFrenchtown-WyeKinsey Elementary School DistrictKinseyManhattanColumbusGreat FallsBad Rock-Columbia HeightsBad Rock-Columbi…HardinColumbia FallsShepherd961300Tract 961300LaurelHavreNorth CusterShelbyLewistownStevensvilleGlasgowAnacondaCrow ReservationLibbyLincolnMiles CityCuster CountyCusterCuster County High School DistrictCuster CountyThompson Falls-West EndThompson Falls-W …GlendiveBlackfeet ReservationBlackfeet Reservat…EurekaSidneyHuntley ProjectDeer LodgeFort Peck ReservationFort Peck Reserva…7.537338%7.537338%7.5%2,48817.286822%7.286822%7.3%70526.384813%6.384813%6.4%3,55536.108787%6.108787%6.1%21944.802841%4.802841%4.8%25754.420866%4.420866%4.4%10064.278476%4.278476%4.3%45674.185162%4.185162%4.2%13284.158271%4.158271%4.2%22793.998580%3.998580%4.0%1,577103.987361%3.987361%4.0%265113.594387%3.594387%3.6%1,787,3201.79M3.582444%3.582444%3.6%151123.530022%3.530022%3.5%204133.504968%3.504968%3.5%194143.336158%3.336158%3.3%7,127,6737.13M3.250774%3.250774%3.3%105153.143169%3.143169%3.1%519163.117008%3.117008%3.1%472,764473k3.032592%3.032592%3.0%522173.026428%3.026428%3.0%284183.002861%3.002861%3.0%20,97321.0k2.810478%2.810478%2.8%795192.775694%2.775694%2.8%2,109202.604352%2.604352%2.6%73212.585864%2.585864%2.6%585222.412441%2.412441%2.4%363232.393509%2.393509%2.4%118242.349869%2.349869%2.3%92.237268%2.237268%2.2%76252.229965%2.229965%2.2%64262.142493%2.142493%2.1%1,008272.130565%2.130565%2.1%78282.109140%2.109140%2.1%63292.092494%2.092494%2.1%138302.079142%2.079142%2.1%62312.047782%2.047782%2.0%301.962336%1.962336%2.0%248321.936983%1.936983%1.9%150331.880878%1.880878%1.9%61.866855%1.866855%1.9%53341.807049%1.807049%1.8%121351.738123%1.738123%1.7%180361.470188%1.470188%1.5%54371.445741%1.445741%1.4%83381.385493%1.385493%1.4%51391.376598%1.376598%1.4%98401.295947%1.295947%1.3%55411.204174%1.204174%1.2%90421.202357%1.202357%1.2%1001.202357%1.202357%1.2%1001.038287%1.038287%1.0%48430.995537%0.995537%1.0%58440.946870%0.946870%0.9%54450.930645%0.930645%0.9%42460.844278%0.844278%0.8%45470.722022%0.722022%0.7%20480.700117%0.700117%0.7%30490.440107%0.440107%0.4%2350
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 North Custer, selected other county subdivisions in Montana, and entities that contain North Custer
Female
Male
2x0x2xFM#NW YellowstoneKalispell NWBoulderTract 961300Red LodgeHelenaBad Rock-Columbia HtsBad Rock-Columbi…ShepherdStevensvilleColumbusSidneyS YellowstoneLoloEurekaLincolnNorth CusterThompson Falls-W EndThompson Falls-W …CusterCuster CountyFlathead ReservationKinseyMiles CityCreston-BigforkKalispellDeer LodgeDillonWhitefishManhattanCrow ReservationColumbia FallsFrenchtown-WyeHamiltonBlackfeet ReservationBlackfeet Reservat…MontanaGreat FallsBelgradeUnited StatesMountainHardinConradWestFort Peck ReservationFort Peck Reserva…GlendiveLaurelLivingstonCut BankGallatin GatewayShelbyLibbyBillingsHavreAnacondaButteMissoulaBozemanGlasgowHuntley ProjectLewistownLakeside-Somers-1.000000x-1.000000x3.670669x3.670669x3.67x1.981%1.98%7.273%7.27%1-1.000000x-1.000000x2.566390x2.566390x2.57x3.974%3.97%10.198%10.2%2-1.000000x-1.000000x2.536824x2.536824x2.54x2.947%2.95%7.477%7.48%3-1.000000x-1.000000x2.499637x2.499637x2.50x3.086%3.09%7.713%7.71%-1.000000x-1.000000x2.055512x2.055512x2.06x3.051%3.05%6.271%6.27%4-1.000000x-1.000000x1.815112x1.815112x1.82x3.639%3.64%6.606%6.61%5-1.000000x-1.000000x1.795554x1.795554x1.80x4.783%4.78%8.588%8.59%6-1.000000x-1.000000x1.783416x1.783416x1.78x3.283%3.28%5.855%5.86%7-1.000000x-1.000000x1.761270x1.761270x1.76x3.596%3.60%6.333%6.33%8-1.000000x-1.000000x1.687943x1.687943x1.69x5.000%5.00%8.440%8.44%9-1.000000x-1.000000x1.532126x1.532126x1.53x5.573%5.57%8.538%8.54%10-1.000000x-1.000000x1.530499x1.530499x1.53x4.906%4.91%7.509%7.51%11-1.000000x-1.000000x1.521151x1.521151x1.52x3.551%3.55%5.402%5.40%12-1.000000x-1.000000x1.502607x1.502607x1.50x9.970%9.97%14.981%15.0%13-1.000000x-1.000000x1.495270x1.495270x1.50x4.838%4.84%7.234%7.23%14-1.000000x-1.000000x1.453704x1.453704x1.45x3.822%3.82%5.556%5.56%-1.000000x-1.000000x1.449809x1.449809x1.45x9.837%9.84%14.261%14.3%15-1.000000x-1.000000x1.442277x1.442277x1.44x7.078%7.08%10.208%10.2%-1.000000x-1.000000x1.442277x1.442277x1.44x7.078%7.08%10.208%10.2%-1.000000x-1.000000x1.424717x1.424717x1.42x8.346%8.35%11.891%11.9%16-1.000000x-1.000000x1.372500x1.372500x1.37x3.279%3.28%4.500%4.50%-1.000000x-1.000000x1.371949x1.371949x1.37x7.512%7.51%10.306%10.3%17-1.000000x-1.000000x1.351362x1.351362x1.35x3.640%3.64%4.919%4.92%18-1.000000x-1.000000x1.299698x1.299698x1.30x5.107%5.11%6.638%6.64%19-1.000000x-1.000000x1.245061x1.245061x1.25x9.986%9.99%12.434%12.4%20-1.000000x-1.000000x1.223744x1.223744x1.22x6.043%6.04%7.395%7.39%21-1.000000x-1.000000x1.218263x1.218263x1.22x3.544%3.54%4.317%4.32%22-1.000000x-1.000000x1.208908x1.208908x1.21x7.038%7.04%8.508%8.51%23-1.000000x-1.000000x1.193052x1.193052x1.19x13.123%13.1%15.656%15.7%24-1.000000x-1.000000x1.176012x1.176012x1.18x6.030%6.03%7.091%7.09%25-1.000000x-1.000000x1.166296x1.166296x1.17x5.541%5.54%6.463%6.46%26-1.000000x-1.000000x1.158992x1.158992x1.16x10.696%10.7%12.397%12.4%27-1.000000x-1.000000x1.157615x1.157615x1.16x8.894%8.89%10.296%10.3%28-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%-1.000000x-1.000000x1.144797x1.144797x1.14x7.485%7.49%8.569%8.57%29-1.000000x-1.000000x1.111743x1.111743x1.11x4.296%4.30%4.776%4.78%30-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-1.000000x-1.000000x1.076760x1.076760x1.08x12.445%12.4%13.401%13.4%31-1.000000x-1.000000x1.057222x1.057222x1.06x8.841%8.84%9.346%9.35%32-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.035916x1.035916x1.04x16.389%16.4%16.977%17.0%33-1.000000x-1.000000x1.030050x1.030050x1.03x7.773%7.77%8.007%8.01%34-1.000000x-1.000000x1.017528x1.017528x1.02x5.563%5.56%5.661%5.66%35-1.000000x-1.000000x1.005487x1.005487x1.01x4.591%4.59%4.616%4.62%36-1.008774x-1.008774x1.01x1.000000x1.000000x11.851%11.9%11.748%11.7%37-1.022848x-1.022848x1.02x1.000000x1.000000x2.879%2.88%2.815%2.81%38-1.035870x-1.035870x1.04x1.000000x1.000000x15.215%15.2%14.689%14.7%39-1.057814x-1.057814x1.06x1.000000x1.000000x12.275%12.3%11.604%11.6%40-1.076020x-1.076020x1.08x1.000000x1.000000x7.634%7.63%7.095%7.10%41-1.111950x-1.111950x1.11x1.000000x1.000000x8.138%8.14%7.319%7.32%42-1.117022x-1.117022x1.12x1.000000x1.000000x10.447%10.4%9.353%9.35%43-1.157480x-1.157480x1.16x1.000000x1.000000x10.112%10.1%8.736%8.74%44-1.196035x-1.196035x1.20x1.000000x1.000000x5.284%5.28%4.418%4.42%45-1.271173x-1.271173x1.27x1.000000x1.000000x1.591%1.59%1.252%1.25%46-1.306056x-1.306056x1.31x1.000000x1.000000x8.391%8.39%6.425%6.42%47-1.439206x-1.439206x1.44x1.000000x1.000000x10.471%10.5%7.275%7.28%48-2.364762x-2.364762x2.36x1.000000x1.000000x10.097%10.1%4.270%4.27%49-2.642950x-2.642950x2.64x1.000000x1.000000x3.196%3.20%1.209%1.21%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 North Custer, selected other county subdivisions in Montana, and entities that contain North Custer
Female
Male
10x5x0x5x10xFM#HardinBad Rock-Columbia HtsBad Rock-Columbi…EurekaShelbyStevensvilleCreston-BigforkKalispell NWConradBlackfeet ReservationBlackfeet Reservat…LaurelThompson Falls-W EndThompson Falls-W …KalispellButteNW YellowstoneWhitefishNorth CusterFrenchtown-WyeManhattanLakeside-SomersBelgradeBozemanGreat FallsMountainBillingsHamiltonCut BankLewistownMontanaUnited StatesWestFort Peck ReservationFort Peck Reserva…MissoulaFlathead ReservationCusterCuster CountyMiles CityLibbyShepherdHelenaLoloDillonS YellowstoneRed LodgeColumbusHavreGallatin GatewayBoulderCrow ReservationGlasgowGlendiveColumbia FallsDeer LodgeKinseyTract 961300LivingstonLincolnAnacondaSidneyHuntley Project-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.313%0.31%4.179%4.18%1-1.000000x-1.000000x5.308105x5.308105x5.31x0.667%0.67%3.543%3.54%2-1.000000x-1.000000x4.008503x4.008503x4.01x0.382%0.38%1.531%1.53%3-1.000000x-1.000000x3.757712x3.757712x3.76x0.704%0.70%2.644%2.64%4-1.000000x-1.000000x3.725973x3.725973x3.73x0.742%0.74%2.765%2.76%5-1.000000x-1.000000x3.289587x3.289587x3.29x1.893%1.89%6.227%6.23%6-1.000000x-1.000000x3.058282x3.058282x3.06x1.626%1.63%4.971%4.97%7-1.000000x-1.000000x2.963223x2.963223x2.96x1.304%1.30%3.865%3.87%8-1.000000x-1.000000x2.888374x2.888374x2.89x0.488%0.49%1.410%1.41%9-1.000000x-1.000000x2.588189x2.588189x2.59x1.113%1.11%2.880%2.88%10-1.000000x-1.000000x2.336830x2.336830x2.34x0.618%0.62%1.443%1.44%11-1.000000x-1.000000x2.270352x2.270352x2.27x1.760%1.76%3.996%4.00%12-1.000000x-1.000000x2.239751x2.239751x2.24x1.612%1.61%3.611%3.61%13-1.000000x-1.000000x2.088869x2.088869x2.09x2.243%2.24%4.685%4.69%14-1.000000x-1.000000x2.076888x2.076888x2.08x4.704%4.70%9.769%9.77%15-1.000000x-1.000000x1.938272x1.938272x1.94x1.274%1.27%2.469%2.47%-1.000000x-1.000000x1.911357x1.911357x1.91x1.620%1.62%3.096%3.10%16-1.000000x-1.000000x1.890732x1.890732x1.89x1.530%1.53%2.893%2.89%17-1.000000x-1.000000x1.883265x1.883265x1.88x2.470%2.47%4.651%4.65%18-1.000000x-1.000000x1.748995x1.748995x1.75x2.287%2.29%4.000%4.00%19-1.000000x-1.000000x1.735547x1.735547x1.74x5.479%5.48%9.509%9.51%20-1.000000x-1.000000x1.684679x1.684679x1.68x1.605%1.61%2.704%2.70%21-1.000000x-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.608211x1.608211x1.61x2.151%2.15%3.459%3.46%22-1.000000x-1.000000x1.605758x1.605758x1.61x1.873%1.87%3.008%3.01%23-1.000000x-1.000000x1.585550x1.585550x1.59x3.490%3.49%5.534%5.53%24-1.000000x-1.000000x1.584839x1.584839x1.58x1.405%1.40%2.226%2.23%25-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.452755x1.452755x1.45x0.363%0.36%0.527%0.53%26-1.000000x-1.000000x1.435317x1.435317x1.44x5.233%5.23%7.511%7.51%27-1.000000x-1.000000x1.381989x1.381989x1.38x2.562%2.56%3.541%3.54%28-1.000000x-1.000000x1.349986x1.349986x1.35x1.028%1.03%1.388%1.39%-1.000000x-1.000000x1.349986x1.349986x1.35x1.028%1.03%1.388%1.39%-1.000000x-1.000000x1.345139x1.345139x1.35x1.033%1.03%1.389%1.39%29-1.000000x-1.000000x1.333708x1.333708x1.33x1.180%1.18%1.573%1.57%30-1.000000x-1.000000x1.331781x1.331781x1.33x1.778%1.78%2.368%2.37%31-1.000000x-1.000000x1.306358x1.306358x1.31x3.482%3.48%4.549%4.55%32-1.000000x-1.000000x1.298909x1.298909x1.30x3.747%3.75%4.867%4.87%33-1.000000x-1.000000x1.291014x1.291014x1.29x4.200%4.20%5.423%5.42%34-1.000000x-1.000000x1.205016x1.205016x1.21x3.756%3.76%4.526%4.53%35-1.000000x-1.000000x1.149464x1.149464x1.15x3.905%3.90%4.488%4.49%36-1.000000x-1.000000x1.102265x1.102265x1.10x2.123%2.12%2.340%2.34%37-1.000000x-1.000000x1.059357x1.059357x1.06x1.882%1.88%1.994%1.99%38-1.000000x-1.000000x1.056014x1.056014x1.06x5.934%5.93%6.267%6.27%39-1.000000x-1.000000x1.052459x1.052459x1.05x3.439%3.44%3.619%3.62%40-1.010477x-1.010477x1.01x1.000000x1.000000x1.393%1.39%1.378%1.38%41-1.102708x-1.102708x1.10x1.000000x1.000000x1.540%1.54%1.397%1.40%42-1.185311x-1.185311x1.19x1.000000x1.000000x1.085%1.08%0.915%0.92%43-1.212704x-1.212704x1.21x1.000000x1.000000x2.296%2.30%1.893%1.89%44-1.287278x-1.287278x1.29x1.000000x1.000000x0.821%0.82%0.638%0.64%45-1.366120x-1.366120x1.37x1.000000x1.000000x2.732%2.73%2.000%2.00%-1.379221x-1.379221x1.38x1.000000x1.000000x2.384%2.38%1.729%1.73%-1.576334x-1.576334x1.58x1.000000x1.000000x3.690%3.69%2.341%2.34%46-1.608401x-1.608401x1.61x1.000000x1.000000x1.597%1.60%0.993%0.99%47-2.834447x-2.834447x2.83x1.000000x1.000000x2.117%2.12%0.747%0.75%48-7.001559x-7.001559x7.00x1.000000x1.000000x1.520%1.52%0.217%0.22%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.405%1.41%0.000%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 West

There are 1,950 county subdivisions in the West. This section compares North Custer to the 50 most populous county subdivisions in the West and to those entities that contain or substantially overlap with North Custer. The least populous of the compared county subdivisions has a population of 323,012.

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 North Custer, selected other county subdivisions in the West, and entities that contain North Custer
0%20%40%Count#South Gate-East Los AngelesS Gate-E Los Ang…ComptonSan BernardinoStocktonInglewoodBakersfieldLos AngelesSouthwest San Gabriel ValleySW San Gabriel VlyUpper San Gabriel ValleyUpper San Gabriel …ModestoDowney-NorwalkAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…RiversideFresnoWhittierEast San Gabriel ValleyE San Gabriel VlyVictorville-HesperiaLong Beach-LakewoodLong Bch-LakewoodSan Fernando ValleySan Fernando VlyOaklandOntarioHaywardOceanside-EscondidoOceanside-Escond…Las VegasPhoenixWestSacramentoDenverUnited States of AmericaUnited StatesSan DiegoSan JoseSan FranciscoTucsonAlbuquerqueNorth CoastMountainSan MateoTacomaHonoluluSalt Lake CitySalt Lk CityPortland EastSouth AuroraBeaverton-HillsboroSeattleCuster CountyCusterCuster County High School DistrictCuster CountyFremontEwaSpokaneColorado SpringsColorado SpgsMontanaNortheast JeffersonNE JeffersonChandlerCentral Contra CostaCntrl Contra CostaBoise City961300Tract 961300Seattle EastNorth CusterKinsey Elementary School DistrictKinsey52.521141%52.521141%52.5%154,211154k133.334421%33.334421%33.3%71,48171.5k227.582802%27.582802%27.6%135,754136k327.142938%27.142938%27.1%57,77757.8k426.248643%26.248643%26.2%63,37063.4k525.591430%25.591430%25.6%61,56361.6k624.837401%24.837401%24.8%434,160434k724.185288%24.185288%24.2%56,33656.3k823.998390%23.998390%24.0%54,26954.3k923.866595%23.866595%23.9%48,03248.0k1023.847630%23.847630%23.8%63,98264.0k1122.645542%22.645542%22.6%248,699249k1222.396849%22.396849%22.4%63,74363.7k1322.107626%22.107626%22.1%92,47292.5k1420.828315%20.828315%20.8%44,44244.4k1520.461493%20.461493%20.5%128,038128k1620.257687%20.257687%20.3%46,27246.3k1719.402518%19.402518%19.4%73,10573.1k1819.344408%19.344408%19.3%244,983245k1918.555588%18.555588%18.6%57,39857.4k2017.129346%17.129346%17.1%71,39771.4k2116.791963%16.791963%16.8%44,62844.6k2215.999398%15.999398%16.0%70,21470.2k2315.906523%15.906523%15.9%198,651199k2414.952077%14.952077%15.0%308,569309k2514.435746%14.435746%14.4%7,178,2187.18M13.900512%13.900512%13.9%103,047103k2613.638703%13.638703%13.6%63,86563.9k2713.020590%13.020590%13.0%27,818,38027.8M12.985760%12.985760%13.0%206,792207k2812.789590%12.789590%12.8%153,604154k2912.559735%12.559735%12.6%84,02484.0k3012.262851%12.262851%12.3%70,40970.4k3112.089143%12.089143%12.1%52,21752.2k3211.992279%11.992279%12.0%32,74032.7k3311.572881%11.572881%11.6%1,755,2861.76M11.285751%11.285751%11.3%31,77331.8k3411.000536%11.000536%11.0%32,63132.6k3510.577372%10.577372%10.6%31,05431.1k3610.435356%10.435356%10.4%64,29464.3k379.824058%9.824058%9.8%35,02135.0k389.432887%9.432887%9.4%23,65923.7k398.961579%8.961579%9.0%26,16126.2k408.833573%8.833573%8.8%66,22066.2k418.596850%8.596850%8.6%7158.596850%8.596850%8.6%7158.413833%8.413833%8.4%20,30320.3k427.753369%7.753369%7.8%17,60117.6k437.396756%7.396756%7.4%18,08118.1k447.220995%7.220995%7.2%18,56218.6k457.105467%7.105467%7.1%49,62749.6k6.409667%6.409667%6.4%21,33921.3k466.146108%6.146108%6.1%16,48316.5k475.736355%5.736355%5.7%20,12620.1k485.669587%5.669587%5.7%12,67312.7k495.460751%5.460751%5.5%804.913852%4.913852%4.9%20,32620.3k504.702194%4.702194%4.7%153.916449%3.916449%3.9%15
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 North Custer, selected other county subdivisions in the West, and entities that contain North Custer
0%20%40%Count#Seattle EastSan FranciscoSan MateoCentral Contra CostaCntrl Contra CostaSan JoseSeattleFremontDenverChandlerOaklandPortland EastBeaverton-HillsboroNortheast JeffersonNE JeffersonSan DiegoHonoluluNorth CoastBoise CityColorado SpringsColorado SpgsLos AngelesSouth AuroraSan Fernando ValleySan Fernando VlySalt Lake CitySalt Lk CityAlbuquerqueTucsonWestOceanside-EscondidoOceanside-Escond…United States of AmericaUnited StatesMountainMontanaUpper San Gabriel ValleyUpper San Gabriel …961300Tract 961300EwaLong Beach-LakewoodLong Bch-LakewoodPhoenixAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoHaywardKinsey Elementary School DistrictKinseySpokaneNorth CusterEast San Gabriel ValleyE San Gabriel VlyOntarioSouthwest San Gabriel ValleySW San Gabriel VlyTacomaFresnoDowney-NorwalkLas VegasRiversideCuster CountyCusterCuster County High School DistrictCuster CountyWhittierInglewoodSan BernardinoStocktonModestoBakersfieldComptonVictorville-HesperiaSouth Gate-East Los AngelesS Gate-E Los Ang…57.691220%57.691220%57.7%238,638239k154.793235%54.793235%54.8%366,564367k253.281332%53.281332%53.3%150,004150k353.008408%53.008408%53.0%185,980186k449.985845%49.985845%50.0%600,334600k549.626221%49.626221%49.6%372,018372k647.196287%47.196287%47.2%113,887114k745.718966%45.718966%45.7%214,085214k842.582760%42.582760%42.6%114,201114k941.647432%41.647432%41.6%128,828129k1041.587794%41.587794%41.6%148,253148k1141.158658%41.158658%41.2%120,152120k1238.955422%38.955422%39.0%129,690130k1338.701072%38.701072%38.7%616,296616k1438.406071%38.406071%38.4%112,756113k1537.195111%37.195111%37.2%101,546102k1636.805114%36.805114%36.8%82,26982.3k1735.792201%35.792201%35.8%92,00692.0k1834.593243%34.593243%34.6%604,693605k1934.004880%34.004880%34.0%85,28985.3k2033.231104%33.231104%33.2%420,848421k2133.118385%33.118385%33.1%204,048204k2232.636312%32.636312%32.6%140,967141k2332.087814%32.087814%32.1%184,237184k2431.501368%31.501368%31.5%15,664,15015.7M31.198303%31.198303%31.2%136,915137k2530.315023%30.315023%30.3%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M29.934396%29.934396%29.9%209,072209k29.571143%29.571143%29.6%66,87166.9k2629.351536%29.351536%29.4%43029.114008%29.114008%29.1%66,09266.1k2729.113198%29.113198%29.1%109,693110k2828.760152%28.760152%28.8%593,529594k2928.412939%28.412939%28.4%312,038312k3028.231204%28.231204%28.2%209,283209k3128.012191%28.012191%28.0%74,44874.4k3227.937337%27.937337%27.9%10727.883982%27.883982%27.9%68,16168.2k3327.586207%27.586207%27.6%8827.276345%27.276345%27.3%170,682171k3426.758411%26.758411%26.8%111,532112k3526.720759%26.720759%26.7%62,24262.2k3624.260108%24.260108%24.3%71,96372.0k3722.486319%22.486319%22.5%94,05694.1k3822.153227%22.153227%22.2%59,43659.4k3921.702666%21.702666%21.7%271,037271k4020.047996%20.047996%20.0%57,05857.1k4119.850908%19.850908%19.9%1,65119.850908%19.850908%19.9%1,65119.804286%19.804286%19.8%42,25742.3k4218.479260%18.479260%18.5%44,61344.6k4316.375473%16.375473%16.4%80,59580.6k4415.920643%15.920643%15.9%33,88933.9k4515.403574%15.403574%15.4%31,00031.0k4615.358267%15.358267%15.4%36,94636.9k4714.373519%14.373519%14.4%30,82230.8k4812.116874%12.116874%12.1%27,67727.7k496.485660%6.485660%6.5%19,04319.0k50
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 North Custer, selected other county subdivisions in the West, and entities that contain North Custer
0%2%4%6%8%Count#San MateoSan FranciscoCentral Contra CostaCntrl Contra CostaSeattleOaklandSan JoseSeattle EastDenverHonoluluSan DiegoLos AngelesAlbuquerqueTucsonFremontPortland EastBeaverton-HillsboroNorth CoastChandlerSalt Lake CitySalt Lk CitySan Fernando ValleySan Fernando VlyWestBoise CityOceanside-EscondidoOceanside-Escond…SacramentoUnited States of AmericaUnited StatesNortheast JeffersonNE JeffersonSpokaneMountainColorado SpringsColorado SpgsUpper San Gabriel ValleyUpper San Gabriel …PhoenixLong Beach-LakewoodLong Bch-LakewoodMontanaFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…South AuroraRiversideHaywardEast San Gabriel ValleyE San Gabriel VlyTacomaKinsey Elementary School DistrictKinseyOntarioSouthwest San Gabriel ValleySW San Gabriel VlyLas Vegas961300Tract 961300EwaNorth CusterSan BernardinoStocktonWhittierDowney-NorwalkBakersfieldModestoInglewoodCuster CountyCusterCuster County High School DistrictCuster CountyVictorville-HesperiaComptonSouth Gate-East Los AngelesS Gate-E Los Ang…9.616314%9.616314%9.6%27,07327.1k17.558053%7.558053%7.6%50,56350.6k26.945418%6.945418%6.9%24,36824.4k36.641855%6.641855%6.6%49,79049.8k46.599425%6.599425%6.6%20,41420.4k56.255912%6.255912%6.3%75,13475.1k66.036065%6.036065%6.0%24,96825.0k75.725842%5.725842%5.7%26,81226.8k85.702189%5.702189%5.7%16,74116.7k95.247128%5.247128%5.2%83,55883.6k104.659072%4.659072%4.7%81,44181.4k114.631274%4.631274%4.6%20,00420.0k124.461087%4.461087%4.5%25,61425.6k134.415988%4.415988%4.4%10,65610.7k144.373573%4.373573%4.4%15,59115.6k154.083597%4.083597%4.1%11,92111.9k163.968001%3.968001%4.0%10,83310.8k173.899532%3.899532%3.9%10,45810.5k183.792624%3.792624%3.8%23,36723.4k193.601468%3.601468%3.6%45,61045.6k203.594387%3.594387%3.6%1,787,3201.79M3.570949%3.570949%3.6%7,982213.466073%3.466073%3.5%15,21115.2k223.380196%3.380196%3.4%25,05825.1k233.336158%3.336158%3.3%7,127,6737.13M3.162331%3.162331%3.2%10,52810.5k243.130766%3.130766%3.1%7,653253.117008%3.117008%3.1%472,764473k3.049141%3.049141%3.0%7,838263.048608%3.048608%3.0%6,894273.010825%3.010825%3.0%62,13562.1k283.009440%3.009440%3.0%11,33911.3k293.002861%3.002861%3.0%20,97321.0k2.828959%2.828959%2.8%11,83311.8k302.763004%2.763004%2.8%30,34430.3k312.741872%2.741872%2.7%6,877322.540696%2.540696%2.5%7,231332.493133%2.493133%2.5%6,626342.484535%2.484535%2.5%15,54715.5k352.380061%2.380061%2.4%7,060362.349869%2.349869%2.3%92.324315%2.324315%2.3%9,688372.221221%2.221221%2.2%5,174382.155077%2.155077%2.2%26,91426.9k392.047782%2.047782%2.0%302.006070%2.006070%2.0%4,554401.880878%1.880878%1.9%61.807306%1.807306%1.8%8,895411.772510%1.772510%1.8%3,773421.747175%1.747175%1.7%3,728431.746958%1.746958%1.7%4,687441.727628%1.727628%1.7%4,156451.651661%1.651661%1.7%3,324461.267904%1.267904%1.3%3,061471.202357%1.202357%1.2%1001.202357%1.202357%1.2%1000.989418%0.989418%1.0%2,260480.804902%0.804902%0.8%1,726490.302435%0.302435%0.3%88850
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 North Custer, selected other county subdivisions in the West, and entities that contain North Custer
Female
Male
1x0x1x2xFM#Tract 961300North CusterCusterCuster CountyKinseyMontanaInglewoodVictorville-HesperiaFresnoSan MateoUnited StatesSpokaneCntrl Contra CostaNE JeffersonBakersfieldStocktonMountainOntarioSan BernardinoRiversideModestoComptonTacomaPhoenixColorado SpgsAlbuquerqueBeaverton-HillsboroPortland EastBoise CityWestSacramentoSalt Lk CityDenverOaklandSouth AuroraOceanside-EscondidoOceanside-Escond…S Gate-E Los AngelesS Gate-E Los Ang…ChandlerSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesDowney-NorwalkLas VegasHaywardUpper San Gabriel VlyUpper San Gabriel …E San Gabriel VlySeattleLong Bch-LakewoodSeattle EastWhittierNorth CoastSan JoseHonoluluSan DiegoSW San Gabriel VlySan FranciscoEwaFremont-1.000000x-1.000000x2.499637x2.499637x2.50x3.086%3.09%7.713%7.71%-1.000000x-1.000000x1.453704x1.453704x1.45x3.822%3.82%5.556%5.56%-1.000000x-1.000000x1.442277x1.442277x1.44x7.078%7.08%10.208%10.2%-1.000000x-1.000000x1.442277x1.442277x1.44x7.078%7.08%10.208%10.2%-1.000000x-1.000000x1.372500x1.372500x1.37x3.279%3.28%4.500%4.50%-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%-1.000000x-1.000000x1.133201x1.133201x1.13x24.715%24.7%28.007%28.0%1-1.000000x-1.000000x1.130693x1.130693x1.13x19.044%19.0%21.533%21.5%2-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%3-1.000000x-1.000000x1.122033x1.122033x1.12x10.654%10.7%11.954%12.0%4-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107157x1.107157x1.11x7.034%7.03%7.788%7.79%5-1.000000x-1.000000x1.098561x1.098561x1.10x5.479%5.48%6.019%6.02%6-1.000000x-1.000000x1.095914x1.095914x1.10x6.124%6.12%6.712%6.71%7-1.000000x-1.000000x1.093115x1.093115x1.09x24.490%24.5%26.770%26.8%8-1.000000x-1.000000x1.089447x1.089447x1.09x26.023%26.0%28.351%28.4%9-1.000000x-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%10-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%11-1.000000x-1.000000x1.079132x1.079132x1.08x21.567%21.6%23.273%23.3%12-1.000000x-1.000000x1.072387x1.072387x1.07x23.060%23.1%24.729%24.7%13-1.000000x-1.000000x1.071771x1.071771x1.07x32.243%32.2%34.557%34.6%14-1.000000x-1.000000x1.069526x1.069526x1.07x10.642%10.6%11.382%11.4%15-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%16-1.000000x-1.000000x1.067846x1.067846x1.07x6.990%6.99%7.464%7.46%17-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%18-1.000000x-1.000000x1.065304x1.065304x1.07x8.689%8.69%9.256%9.26%19-1.000000x-1.000000x1.060968x1.060968x1.06x9.540%9.54%10.121%10.1%20-1.000000x-1.000000x1.053881x1.053881x1.05x5.525%5.52%5.822%5.82%21-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%23-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%24-1.000000x-1.000000x1.044061x1.044061x1.04x18.170%18.2%18.971%19.0%25-1.000000x-1.000000x1.043950x1.043950x1.04x9.238%9.24%9.644%9.64%26-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%27-1.000000x-1.000000x1.017204x1.017204x1.02x52.081%52.1%52.977%53.0%28-1.000000x-1.000000x1.013545x1.013545x1.01x6.106%6.11%6.189%6.19%29-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%30-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%31-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%32-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%33-1.014225x-1.014225x1.01x1.000000x1.000000x24.008%24.0%23.672%23.7%34-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%35-1.023831x-1.023831x1.02x1.000000x1.000000x16.982%17.0%16.587%16.6%36-1.026120x-1.026120x1.03x1.000000x1.000000x24.290%24.3%23.672%23.7%37-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%38-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%39-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%40-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%41-1.077111x-1.077111x1.08x1.000000x1.000000x21.572%21.6%20.027%20.0%42-1.093680x-1.093680x1.09x1.000000x1.000000x12.515%12.5%11.443%11.4%43-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%44-1.132304x-1.132304x1.13x1.000000x1.000000x11.215%11.2%9.904%9.90%45-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%46-1.209282x-1.209282x1.21x1.000000x1.000000x26.346%26.3%21.786%21.8%47-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%48-1.232576x-1.232576x1.23x1.000000x1.000000x8.558%8.56%6.943%6.94%49-1.275553x-1.275553x1.28x1.000000x1.000000x9.405%9.40%7.373%7.37%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 North Custer, selected other county subdivisions in the West, and entities that contain North Custer
Female
Male
1x0x1x2xFM#Salt Lk CityNorth CusterUpper San Gabriel VlyUpper San Gabriel …Boise CityStocktonChandlerBakersfieldSpokaneAlbuquerqueMountainBeaverton-HillsboroPhoenixModestoTucsonFremontCntrl Contra CostaMontanaLas VegasSeattle EastSan DiegoUnited StatesSan JoseHonoluluColorado SpgsFresnoWestSan Fernando VlyE San Gabriel VlyRiversideSouth AuroraSan BernardinoVictorville-HesperiaDowney-NorwalkNorth CoastAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…TacomaSacramentoSan MateoCusterCuster CountyNE JeffersonSW San Gabriel VlyOceanside-EscondidoOceanside-Escond…Los AngelesComptonSeattleOntarioHaywardWhittierLong Bch-LakewoodInglewoodOaklandDenverSan FranciscoPortland EastS Gate-E Los AngelesS Gate-E Los Ang…KinseyTract 961300Ewa-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%1-1.000000x-1.000000x1.938272x1.938272x1.94x1.274%1.27%2.469%2.47%-1.000000x-1.000000x1.833030x1.833030x1.83x2.189%2.19%4.013%4.01%2-1.000000x-1.000000x1.801323x1.801323x1.80x2.568%2.57%4.626%4.63%3-1.000000x-1.000000x1.774741x1.774741x1.77x1.291%1.29%2.292%2.29%4-1.000000x-1.000000x1.751139x1.751139x1.75x2.862%2.86%5.012%5.01%5-1.000000x-1.000000x1.724646x1.724646x1.72x1.280%1.28%2.207%2.21%6-1.000000x-1.000000x1.721484x1.721484x1.72x2.324%2.32%4.001%4.00%7-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%8-1.000000x-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.660940x1.660940x1.66x3.099%3.10%5.147%5.15%9-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%10-1.000000x-1.000000x1.638802x1.638802x1.64x1.262%1.26%2.068%2.07%11-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%12-1.000000x-1.000000x1.619077x1.619077x1.62x3.392%3.39%5.491%5.49%13-1.000000x-1.000000x1.616102x1.616102x1.62x5.370%5.37%8.678%8.68%14-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%15-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%16-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%17-1.000000x-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%18-1.000000x-1.000000x1.511724x1.511724x1.51x4.566%4.57%6.903%6.90%19-1.000000x-1.000000x1.497992x1.497992x1.50x2.454%2.45%3.676%3.68%20-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%21-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.442742x1.442742x1.44x2.091%2.09%3.016%3.02%24-1.000000x-1.000000x1.427294x1.427294x1.43x2.274%2.27%3.246%3.25%25-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%26-1.000000x-1.000000x1.405210x1.405210x1.41x0.826%0.83%1.161%1.16%27-1.000000x-1.000000x1.388437x1.388437x1.39x1.474%1.47%2.046%2.05%28-1.000000x-1.000000x1.386304x1.386304x1.39x3.339%3.34%4.629%4.63%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.360981x1.360981x1.36x2.026%2.03%2.757%2.76%31-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%32-1.000000x-1.000000x1.355263x1.355263x1.36x8.200%8.20%11.114%11.1%33-1.000000x-1.000000x1.349986x1.349986x1.35x1.028%1.03%1.388%1.39%-1.000000x-1.000000x1.349986x1.349986x1.35x1.028%1.03%1.388%1.39%-1.000000x-1.000000x1.335395x1.335395x1.34x2.719%2.72%3.631%3.63%34-1.000000x-1.000000x1.326877x1.326877x1.33x1.923%1.92%2.552%2.55%35-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%36-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%37-1.000000x-1.000000x1.273120x1.273120x1.27x0.713%0.71%0.908%0.91%38-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%39-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%40-1.000000x-1.000000x1.195039x1.195039x1.20x2.279%2.28%2.724%2.72%41-1.000000x-1.000000x1.189644x1.189644x1.19x1.601%1.60%1.905%1.90%42-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%43-1.000000x-1.000000x1.159391x1.159391x1.16x1.180%1.18%1.368%1.37%44-1.000000x-1.000000x1.147461x1.147461x1.15x6.162%6.16%7.071%7.07%45-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%46-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%47-1.000000x-1.000000x1.089436x1.089436x1.09x4.190%4.19%4.565%4.57%48-1.014672x-1.014672x1.01x1.000000x1.000000x0.305%0.30%0.300%0.30%49-1.366120x-1.366120x1.37x1.000000x1.000000x2.732%2.73%2.000%2.00%-1.379221x-1.379221x1.38x1.000000x1.000000x2.384%2.38%1.729%1.73%-1.453997x-1.453997x1.45x1.000000x1.000000x2.376%2.38%1.634%1.63%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 North Custer to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with North Custer. The least populous of the compared county subdivisions has a population of 547,300.

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 North Custer, selected other county subdivisions in the United States, and entities that contain North Custer
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixWestBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueMountainTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleCuster CountyCusterCuster County High School DistrictCuster CountyNortheast TarrantNE TarrantMontanaPlano961300Tract 961300Seattle EastNorth CusterKinsey Elementary School DistrictKinsey28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.435746%14.435746%14.4%7,178,2187.18M14.325556%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%52,21752.2k3811.572881%11.572881%11.6%1,755,2861.76M11.553484%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%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.596850%8.596850%8.6%7158.596850%8.596850%8.6%7158.418271%8.418271%8.4%31,44331.4k487.105467%7.105467%7.1%49,62749.6k5.714681%5.714681%5.7%20,64420.6k495.460751%5.460751%5.5%804.913852%4.913852%4.9%20,32620.3k504.702194%4.702194%4.7%153.916449%3.916449%3.9%15
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 North Custer, selected other county subdivisions in the United States, and entities that contain North Custer
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 CityAlbuquerqueTampaTucsonWestOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesMountainHoustonMontanaBaltimore961300Tract 961300Long Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoKinsey Elementary School DistrictKinseyNorth CusterEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoCuster CountyCusterCuster County High School DistrictCuster CountyBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.501368%31.501368%31.5%15,664,15015.7M31.198303%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%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M30.080133%30.080133%30.1%627,520628k3029.934396%29.934396%29.9%209,072209k29.719611%29.719611%29.7%125,423125k3129.351536%29.351536%29.4%43029.113198%29.113198%29.1%109,693110k3228.760152%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%209,283209k3627.937337%27.937337%27.9%10727.586207%27.586207%27.6%8827.276345%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%72,12072.1k4619.850908%19.850908%19.9%1,65119.850908%19.850908%19.9%1,65119.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
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 North Custer, selected other county subdivisions in the United States, and entities that contain North Custer
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyWestTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaMountainPhoenixLong Beach-LakewoodLong Bch-LakewoodMontanaOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyKinsey Elementary School DistrictKinseyOntarioFort WorthLas Vegas961300Tract 961300MilwaukeeNorth CusterSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitCuster CountyCusterCuster County High School DistrictCuster County12.461852%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%45,61045.6k253.594387%3.594387%3.6%1,787,3201.79M3.490252%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%12,13312.1k313.117008%3.117008%3.1%472,764473k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k333.002861%3.002861%3.0%20,97321.0k2.893233%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%15,54715.5k402.349869%2.349869%2.3%92.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.047782%2.047782%2.0%302.043126%2.043126%2.0%7,455441.880878%1.880878%1.9%61.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.202357%1.202357%1.2%1001.202357%1.202357%1.2%100
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 North Custer, selected other county subdivisions in the United States, and entities that contain North Custer
Female
Male
1x0x1x2xFM#Tract 961300North CusterCusterCuster CountyKinsey1, CharlotteDetroitBaltimoreTulsaSW DallasMontanaFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaMountainOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonWestSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.499637x2.499637x2.50x3.086%3.09%7.713%7.71%-1.000000x-1.000000x1.453704x1.453704x1.45x3.822%3.82%5.556%5.56%-1.000000x-1.000000x1.442277x1.442277x1.44x7.078%7.08%10.208%10.2%-1.000000x-1.000000x1.442277x1.442277x1.44x7.078%7.08%10.208%10.2%-1.000000x-1.000000x1.372500x1.372500x1.37x3.279%3.28%4.500%4.50%-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-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%-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-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-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-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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 North Custer, selected other county subdivisions in the United States, and entities that contain North Custer
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityNorth CusterPlanoTulsaAlbuquerqueNE DallasFort WorthMountainOrlandoPhoenixTucson1, CharlotteNW HarrisMontanaLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantWestTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoCusterCuster CountyPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitKinseyTract 961300-1.000000x-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-1.000000x1.938272x1.938272x1.94x1.274%1.27%2.469%2.47%-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-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-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-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%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-1.000000x1.349986x1.349986x1.35x1.028%1.03%1.388%1.39%-1.000000x-1.000000x1.349986x1.349986x1.35x1.028%1.03%1.388%1.39%-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.366120x-1.366120x1.37x1.000000x1.000000x2.732%2.73%2.000%2.00%-1.379221x-1.379221x1.38x1.000000x1.000000x2.384%2.38%1.729%1.73%
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.

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State:
Montana
County:
Custer
ZIP Codes:
59301, 59338
Elementary School District:
Kinsey
Secondary School District:
Custer County
Congressional District:
MT-At Large
State Senate Districts:
MT-19, MT-20
State House Districts:
MT-37, MT-39