Educational Attainment in Decker, Big Horn County, Montana (Census County Division)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Big Horn County and Decker
Decker
Big Horn County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma228.571429%28.061563%28.571429%28.6%2670.329670%58.232719%70.329670%70.3%641.098901%13.705718%1.098901%1.1%1
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 Big Horn County at large.
Scope: population of Big Horn County and Decker
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma21.816954%1.816954%+1.8%28.571%28.6%28.062%28.1%20.773462%20.773462%+20.8%70.330%70.3%58.233%58.2%-91.982171%-91.982171%-92.0%1.099%1.10%13.706%13.7%
% percentage with given level in Decker
ref. percentage with given level in Big Horn 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 Big Horn County and Decker
Decker
Big Horn County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.194109%02.197802%0.504179%2.197802%2.2%20.000000%0.000000%0.0%3.914024%021.978022%10.123391%21.978022%22.0%204.395604%12.325859%4.395604%4.4%438.461538%24.266950%38.461538%38.5%3531.868132%33.965769%31.868132%31.9%291.098901%9.937641%1.098901%1.1%10.000000%0.000000%0.0%3.582327%00.000000%0.000000%0.0%0.185750%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 Big Horn County at large.
Scope: population of Big Horn County and Decker
-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%1.194%1.19%335.916715%335.916715%+335.9%2.198%2.20%0.504%0.50%-100.000000%-100.000000%-100.0%0.000%0%3.914%3.91%117.101378%117.101378%+117.1%21.978%22.0%10.123%10.1%-64.338353%-64.338353%-64.3%4.396%4.40%12.326%12.3%58.493502%58.493502%+58.5%38.462%38.5%24.267%24.3%-6.175738%-6.175738%-6.2%31.868%31.9%33.966%34.0%-88.942033%-88.942033%-88.9%1.099%1.10%9.938%9.94%-100.000000%-100.000000%-100.0%0.000%0%3.582%3.58%-100.000000%-100.000000%-100.0%0.000%0%0.186%0.19%
% percentage with given level in Decker
ref. percentage with given level in Big Horn 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 Big Horn County and Decker
More Females More Males
Big Horn County
Decker
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-132.653061%-18.268584%-132.653061%133%38.776%38.8%16.667%16.7%32.222222%4.695273%32.222222%32%61.224%61.2%80.952%81.0%1,000.000000%15.722702%1,000.000000%> 1000%0.000%0%2.381%2.38%
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 Big Horn County and Decker
More Females More Males
Big Horn County
Decker
1k%0k%1k%FMProfessional1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3-1,000.000000%-123.491186%-1,000.000000%> 1000%4.082%4.08%0.000%0%-100.000000%-3.005714%-100.000000%0k%28.571%28.6%14.286%14.3%-157.142857%-43.261817%-157.142857%0k%6.122%6.12%2.381%2.38%-10.319309%123.611111%123.611111%0k%24.490%24.5%54.762%54.8%-40.259740%-40.259740%0k%16.002428%36.735%36.7%26.190%26.2%1,000.000000%5.514800%1,000.000000%> 1000%0.000%0%2.381%2.38%
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 Big Horn County and Decker
Decker
Big Horn County
0%20%40%60%80%100%B.X.Total65+45-6435-4425-3420.833333%14.540466%20.833333%20.8%52410.909091%10.048622%10.909091%10.9%655100.000000%10.418311%100.000000%100.0%5557.142857%6.311523%57.142857%57.1%47
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 Big Horn County at large.
Scope: population of Big Horn County and Decker
0%200%400%600%800%%ref.65+45-6435-4425-3443.278302%43.278302%43.3%20.833%20.8%14.540%14.5%8.563050%8.563050%8.6%10.909%10.9%10.049%10.0%859.848485%859.848485%859.8%100.000%100%10.418%10.4%805.373526%805.373526%805.4%57.143%57.1%6.312%6.31%
% percentage in Decker with a Bachelor's degree
ref percentage in Big Horn 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 Big Horn County and Decker
More Females More Males
Big Horn County
Decker
1,000%500%0%FM65+45-6425-34-1,000.000000%-1,000.000000%> 1000%24.704637%41.667%41.7%0.000%0%-287.096774%-9.520944%-287.096774%287.1%16.129%16.1%4.167%4.17%-1,000.000000%-1,000.000000%> 1000%11.831246%66.667%66.7%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 Big Horn County and Decker
Decker
Big Horn County
$0k$10k$20k$30k$40k$50kCount%Some CollegeH.S. Diploma2$50,500.000000$26,559.000000$50,500.000000$50.5k3942.857%42.9%$16,094.000000$26,439.000000$16,094.000000$16.1k2931.868%31.9%
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

Employment by Educational Attainment#11

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Big Horn County and Decker
Decker
Big Horn County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%87.657143%100.000000%100.0%17100.000000%62.754237%100.000000%100.0%26100.000000%63.194444%100.000000%100.0%23100.000000%46.929825%100.000000%100.0%1
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#12

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Big Horn County and Decker
Female Male
Big Horn County
Decker
Shaded bar tips show excess over facing bar.
10%5%0%5%10%MFWhite1-0.000000%-11.341632%-3.462837%0.000000%0.0%0.000000%2.380952%11.341632%2.380952%2.4%10
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#13

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Big Horn County and Decker
Female Male
Big Horn County
Decker
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1-14.285714%-18.367347%-22.067039%-32.653061%32.7%14.285714%22.067039%2.414289%14.285714%14.3%616
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 Decker to the 50 most populous county subdivisions in Montana and to those entities that contain or substantially overlap with Decker. The least populous of the compared county subdivisions has a population of 3,655.

No H.S. Diploma by County Subdivision#14

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Decker, selected other county subdivisions in Montana, and entities that contain Decker
0%5%10%15%Count#Fort Peck ReservationFort Peck Reserva…ShelbyWestCrow ReservationBig Horn CountyBig Horn940400Tract 940400United States of AmericaUnited StatesHardinEurekaThompson Falls-West EndThompson Falls-W …LibbyCut BankDeer LodgeMountainHamiltonFlathead ReservationAnacondaBlackfeet ReservationBlackfeet Reservat…ButteConradHuntley ProjectMiles CityGreat FallsGlendiveManhattanHavreGlasgowBillingsLewistownSidneyMontanaKalispell NorthwestKalispell NWBad Rock-Columbia HeightsBad Rock-Columbi…DillonColumbusColumbia FallsSouth YellowstoneS YellowstoneLincolnFrenchtown-WyeKalispellLaurelBoulderHelenaStevensvilleMissoulaNorthwest YellowstoneNW YellowstoneLivingstonRed LodgeShepherdBelgradeLoloCreston-BigforkWhitefishGallatin GatewayLakeside-SomersBozemanDecker16.666667%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%529313.705718%13.705718%13.7%1,03313.693901%13.693901%13.7%11913.020590%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%662178.015219%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%709355.243122%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%261404.603581%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%381472.845188%2.845188%2.8%102482.182681%2.182681%2.2%92491.417795%1.417795%1.4%468501.098901%1.098901%1.1%1
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#15

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Decker, selected other county subdivisions in Montana, and entities that contain Decker
0%20%40%Count#BozemanGallatin GatewayMissoulaWhitefishBelgradeHelenaLoloLakeside-SomersBoulderRed LodgeNorthwest YellowstoneNW YellowstoneLivingstonCreston-BigforkDillonWestUnited States of AmericaUnited StatesMountainManhattanSouth YellowstoneS YellowstoneMontanaBillingsLincolnStevensvilleLewistownKalispell NorthwestKalispell NWFrenchtown-WyeGreat FallsLaurelKalispellButteConradHavreHamiltonDeckerFlathead ReservationCut BankShepherdBad Rock-Columbia HeightsBad Rock-Columbi…GlasgowColumbusColumbia FallsLibbyEurekaMiles CityHuntley ProjectSidneyGlendiveHardinAnacondaDeer LodgeThompson Falls-West EndThompson Falls-W …Blackfeet ReservationBlackfeet Reservat…Big Horn CountyBig HornCrow ReservationShelby940400Tract 940400Fort 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%1,2531829.277713%29.277713%29.3%3,0321928.285544%28.285544%28.3%1,8942027.739938%27.739938%27.7%8962127.038540%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%3,7202924.175824%24.175824%24.2%2223.679777%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%1,4233719.676490%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%9194715.735704%15.735704%15.7%1,18614.832926%14.832926%14.8%5464813.878126%13.878126%13.9%3944913.003452%13.003452%13.0%11312.992729%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#16

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Decker, selected other county subdivisions in Montana, and entities that contain Decker
0%2%4%6%Count#BozemanWhitefishMissoulaGallatin GatewayDillonCut BankLoloRed LodgeSouth YellowstoneS YellowstoneHelenaCreston-BigforkWestLakeside-SomersBoulderNorthwest YellowstoneNW YellowstoneUnited States of AmericaUnited StatesKalispell NorthwestKalispell NWBelgradeMountainFlathead ReservationLivingstonMontanaKalispellBillingsConradButteHamiltonFrenchtown-WyeManhattanColumbusDeckerGreat FallsBad Rock-Columbia HeightsBad Rock-Columbi…HardinColumbia FallsShepherdLaurelHavreShelbyLewistownStevensvilleBig Horn CountyBig Horn940400Tract 940400GlasgowAnacondaCrow ReservationLibbyLincolnMiles CityThompson 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%118242.237268%2.237268%2.2%76252.229965%2.229965%2.2%64262.197802%2.197802%2.2%22.142493%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%62311.962336%1.962336%2.0%248321.936983%1.936983%1.9%150331.866855%1.866855%1.9%53341.807049%1.807049%1.8%121351.738123%1.738123%1.7%180361.698288%1.698288%1.7%1281.611047%1.611047%1.6%141.470188%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%90421.038287%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#17

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Decker, selected other county subdivisions in Montana, and entities that contain Decker
Female
Male
0x5x10xFM#DeckerNW YellowstoneKalispell NWBoulderRed LodgeHelenaBad Rock-Columbia HtsBad Rock-Columbi…ShepherdStevensvilleColumbusSidneyS YellowstoneLoloEurekaLincolnThompson Falls-W EndThompson Falls-W …Flathead ReservationMiles CityCreston-BigforkKalispellTract 940400Deer LodgeDillonWhitefishManhattanCrow ReservationColumbia FallsFrenchtown-WyeHamiltonBlackfeet ReservationBlackfeet Reservat…Big HornMontanaGreat FallsBelgradeUnited StatesMountainHardinConradWestFort Peck ReservationFort Peck Reserva…GlendiveLaurelLivingstonCut BankGallatin GatewayShelbyLibbyBillingsHavreAnacondaButteMissoulaBozemanGlasgowHuntley ProjectLewistownLakeside-Somers-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.381%2.38%-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-1.000000x2.055512x2.055512x2.06x3.051%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-1.000000x1.449809x1.449809x1.45x9.837%9.84%14.261%14.3%15-1.000000x-1.000000x1.424717x1.424717x1.42x8.346%8.35%11.891%11.9%16-1.000000x-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-1.000000x1.249022x1.249022x1.25x12.317%12.3%15.385%15.4%-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-1.000000x1.157227x1.157227x1.16x12.750%12.8%14.755%14.8%-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#18

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 Decker, selected other county subdivisions in Montana, and entities that contain Decker
Female
Male
10x5x0x5x10xFM#HardinBad Rock-Columbia HtsBad Rock-Columbi…EurekaShelbyStevensvilleCreston-BigforkKalispell NWConradBlackfeet ReservationBlackfeet Reservat…LaurelThompson Falls-W EndThompson Falls-W …KalispellButteNW YellowstoneWhitefishBig HornFrenchtown-WyeManhattanLakeside-SomersBelgradeBozemanGreat FallsMountainBillingsHamiltonCut BankLewistownMontanaUnited StatesWestFort Peck ReservationFort Peck Reserva…MissoulaFlathead ReservationMiles CityLibbyShepherdHelenaLoloDillonS YellowstoneRed LodgeColumbusHavreGallatin GatewayBoulderCrow ReservationGlasgowGlendiveColumbia FallsDeer LodgeLivingstonLincolnAnacondaSidneyTract 940400DeckerHuntley 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-1.000000x2.025705x2.025705x2.03x1.141%1.14%2.311%2.31%-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-1.000000x1.345139x1.345139x1.35x1.033%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%45-1.576334x-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> 10.0x1.000000x1.000000x2.923%2.92%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.082%4.08%0.000%0%-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 Decker to the 50 most populous county subdivisions in the West and to those entities that contain or substantially overlap with Decker. The least populous of the compared county subdivisions has a population of 323,012.

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 Decker, selected other county subdivisions in the West, and entities that contain Decker
0%10%20%30%40%50%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 VegasPhoenixWestSacramentoBig Horn CountyBig Horn940400Tract 940400DenverUnited States of AmericaUnited StatesSan DiegoSan JoseSan FranciscoTucsonAlbuquerqueNorth CoastMountainSan MateoTacomaHonoluluSalt Lake CitySalt Lk CityPortland EastSouth AuroraBeaverton-HillsboroSeattleFremontEwaSpokaneColorado SpringsColorado SpgsMontanaNortheast JeffersonNE JeffersonChandlerCentral Contra CostaCntrl Contra CostaBoise CitySeattle EastDecker52.521141%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%103,047103k2613.705718%13.705718%13.7%1,03313.693901%13.693901%13.7%11913.638703%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%66,22066.2k418.413833%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%12,67312.7k494.913852%4.913852%4.9%20,32620.3k501.098901%1.098901%1.1%1
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 Decker, selected other county subdivisions in the West, and entities that contain Decker
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 …EwaLong Beach-LakewoodLong Bch-LakewoodPhoenixAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoHaywardSpokaneEast San Gabriel ValleyE San Gabriel VlyOntarioSouthwest San Gabriel ValleySW San Gabriel VlyTacomaDeckerFresnoDowney-NorwalkLas VegasRiversideWhittierInglewoodSan BernardinoStocktonBig Horn CountyBig HornModestoBakersfieldCompton940400Tract 940400Victorville-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%66,87166.9k2629.114008%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%74,44874.4k3227.883982%27.883982%27.9%68,16168.2k3327.276345%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%71,96372.0k3724.175824%24.175824%24.2%2222.486319%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%57,05857.1k4119.804286%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%33,88933.9k4515.735704%15.735704%15.7%1,18615.403574%15.403574%15.4%31,00031.0k4615.358267%15.358267%15.4%36,94636.9k4714.373519%14.373519%14.4%30,82230.8k4813.003452%13.003452%13.0%11312.116874%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#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 Decker, selected other county subdivisions in the West, and entities that contain Decker
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 VlyTacomaOntarioSouthwest San Gabriel ValleySW San Gabriel VlyDeckerLas VegasEwaSan BernardinoStocktonWhittierDowney-NorwalkBakersfieldBig Horn CountyBig HornModesto940400Tract 940400InglewoodVictorville-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%7,060362.324315%2.324315%2.3%9,688372.221221%2.221221%2.2%5,174382.197802%2.197802%2.2%22.155077%2.155077%2.2%26,91426.9k392.006070%2.006070%2.0%4,554401.807306%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%4,156451.698288%1.698288%1.7%1281.651661%1.651661%1.7%3,324461.611047%1.611047%1.6%141.267904%1.267904%1.3%3,061470.989418%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#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 Decker, selected other county subdivisions in the West, and entities that contain Decker
Female
Male
0x5x10xFM#DeckerTract 940400Big HornMontanaInglewoodVictorville-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-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.381%2.38%-1.000000x-1.000000x1.249022x1.249022x1.25x12.317%12.3%15.385%15.4%-1.000000x-1.000000x1.157227x1.157227x1.16x12.750%12.8%14.755%14.8%-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#23

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 Decker, selected other county subdivisions in the West, and entities that contain Decker
Female
Male
10x5x0xFM#Salt Lk CityBig HornUpper 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 MateoNE JeffersonSW San Gabriel VlyOceanside-EscondidoOceanside-Escond…Los AngelesComptonSeattleOntarioHaywardWhittierLong Bch-LakewoodInglewoodOaklandDenverSan FranciscoPortland EastS Gate-E Los AngelesS Gate-E Los Ang…EwaTract 940400Decker-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%1-1.000000x-1.000000x2.025705x2.025705x2.03x1.141%1.14%2.311%2.31%-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-1.000000x1.335395x1.335395x1.34x2.719%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%49-1.453997x-1.453997x1.45x1.000000x1.000000x2.376%2.38%1.634%1.63%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.923%2.92%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.082%4.08%0.000%0%
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 Decker to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Decker. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#24

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Decker, selected other county subdivisions in the United States, and entities that contain Decker
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 VegasPhoenixWestBostonSacramentoBig Horn CountyBig Horn940400Tract 940400OrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueMountainTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantMontanaPlanoSeattle EastDecker28.998944%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%103,047103k2813.705718%13.705718%13.7%1,03313.693901%13.693901%13.7%11913.679368%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%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.105467%7.105467%7.1%49,62749.6k5.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k501.098901%1.098901%1.1%1
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#25

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Decker, selected other county subdivisions in the United States, and entities that contain Decker
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 StatesMountainHoustonMontanaBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthDeckerSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoBig Horn CountyBig HornSan Antonio CentralSan Antonio CntrlDetroit940400Tract 94040060.434640%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%125,423125k3129.113198%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%209,283209k3627.276345%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%131,349131k4124.175824%24.175824%24.2%2223.764821%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%80,59580.6k4815.735704%15.735704%15.7%1,18614.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5013.003452%13.003452%13.0%113
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#26

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Decker, selected other county subdivisions in the United States, and entities that contain Decker
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 VlyOntarioDeckerFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBig Horn CountyBig HornBronx940400Tract 940400Detroit12.461852%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%15,54715.5k402.324315%2.324315%2.3%9,688412.197802%2.197802%2.2%22.173239%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%10,08610.1k481.698288%1.698288%1.7%1281.664253%1.664253%1.7%15,06415.1k491.611047%1.611047%1.6%141.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#27

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 Decker, selected other county subdivisions in the United States, and entities that contain Decker
Female
Male
0x5x10xFM#Decker1, CharlotteTract 940400DetroitBaltimoreTulsaSW DallasBig HornMontanaFresnoMilwaukeeUnited 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-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.381%2.38%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.249022x1.249022x1.25x12.317%12.3%15.385%15.4%-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-1.000000x1.157227x1.157227x1.16x12.750%12.8%14.755%14.8%-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#28

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 Decker, selected other county subdivisions in the United States, and entities that contain Decker
Female
Male
10x5x0xFM#El PasoSalt Lk CityBig HornPlanoTulsaAlbuquerqueNE DallasFort WorthMountainOrlandoPhoenixTucson1, CharlotteNW HarrisMontanaLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantWestTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 940400Decker-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-1.000000x2.025705x2.025705x2.03x1.141%1.14%2.311%2.31%-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-1.000000x1.341930x1.341930x1.34x3.216%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.923%2.92%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.082%4.08%0.000%0%
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:
Big Horn
ZIP Codes:
59016, 59025, 82801
Elementary School Districts:
Hardin, Spring Creek
Secondary School Districts:
Hardin, Lame Deer
Congressional District:
MT-At Large
State Senate District:
MT-21
State House District:
MT-41