Educational Attainment in Wagon Mound, Mora County, New Mexico (Census County Division)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Mora County and Wagon Mound
Wagon Mound
Mora County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma215.733015%24.103586%15.733015%15.7%13259.713945%63.612218%59.713945%59.7%50124.553039%12.284197%24.553039%24.6%206
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 Mora County at large.
Scope: population of Mora County and Wagon Mound
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-34.727489%-34.727489%-34.7%15.733%15.7%24.104%24.1%-6.128182%-6.128182%-6.1%59.714%59.7%63.612%63.6%99.875012%99.875012%+99.9%24.553%24.6%12.284%12.3%
% percentage with given level in Wagon Mound
ref. percentage with given level in Mora 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 Mora County and Wagon Mound
Wagon Mound
Mora County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.191895%1.494024%1.191895%1.2%100.000000%0.000000%0.000000%0.0%03.218117%2.191235%3.218117%3.2%276.674613%9.495352%6.674613%6.7%564.648391%10.922975%4.648391%4.6%3919.666269%23.638778%19.666269%19.7%16540.047676%39.973440%40.047676%40.0%33619.785459%9.727756%19.785459%19.8%1664.767580%2.556441%4.767580%4.8%400.000000%0.000000%0.000000%0.0%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 Mora County at large.
Scope: population of Mora County and Wagon Mound
-100%0%+100%%ref.Doctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-20.222487%-20.222487%-20.2%1.192%1.19%1.494%1.49%46.863149%46.863149%+46.9%3.218%3.22%2.191%2.19%-29.706527%-29.706527%-29.7%6.675%6.67%9.495%9.50%-57.443910%-57.443910%-57.4%4.648%4.65%10.923%10.9%-16.805051%-16.805051%-16.8%19.666%19.7%23.639%23.6%0.185714%0.185714%+0.2%40.048%40.0%39.973%40.0%103.391816%103.391816%+103.4%19.785%19.8%9.728%9.73%86.492887%86.492887%+86.5%4.768%4.77%2.556%2.56%
% percentage with given level in Wagon Mound
ref. percentage with given level in Mora 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 Mora County and Wagon Mound
More Females More Males
Mora County
Wagon Mound
100%50%0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-120.412844%-20.533917%-120.412844%120%21.330%21.3%9.677%9.68%-2.961329%-2.961329%3%4.600396%60.550%60.6%58.809%58.8%73.923422%14.451529%73.923422%74%18.119%18.1%31.514%31.5%
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 Mora County and Wagon Mound
More Females More Males
Mora County
Wagon Mound
200%100%0%100%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-37.186630%62.282878%62.282878%62%0.917%0.92%1.489%1.49%-119.524083%-119.498607%-119.524083%120%4.358%4.36%1.985%1.99%-205.733945%-205.733945%206%59.454315%9.862%9.86%3.226%3.23%-107.970183%-86.213982%-107.970183%108%6.193%6.19%2.978%2.98%-41.509552%12.195570%12.195570%12%18.578%18.6%20.844%20.8%-10.554956%-10.554956%11%32.314142%41.972%42.0%37.965%38.0%59.860746%9.614137%59.860746%60%15.367%15.4%24.566%24.6%152.440033%35.205502%152.440033%152%2.752%2.75%6.948%6.95%
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 Mora County and Wagon Mound
Wagon Mound
Mora County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-345.574913%8.071279%5.574913%5.6%162874.336043%6.058020%4.336043%4.3%1636917.647059%3.992395%17.647059%17.6%211194.687500%32.500000%4.687500%4.7%364
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 Mora County at large.
Scope: population of Mora County and Wagon Mound
0%100%200%300%%ref.65+45-6435-4425-34-30.929001%-30.929001%30.9%5.575%5.57%8.071%8.07%-28.424749%-28.424749%28.4%4.336%4.34%6.058%6.06%342.016807%342.016807%342.0%17.647%17.6%3.992%3.99%-85.576923%-85.576923%85.6%4.688%4.69%32.500%32.5%
% percentage in Wagon Mound with a Bachelor's degree
ref percentage in Mora 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 Mora County and Wagon Mound
More Females More Males
Mora County
Wagon Mound
1,000%500%0%500%FM65+45-6435-4425-34168.202765%636.783989%168.202765%168.2%3.608%3.61%9.677%9.68%-255.029586%-1,000.000000%-255.029586%255.0%7.101%7.10%2.000%2.00%-1,000.000000%-1,000.000000%-1,000.000000%> 1000%70.000%70.0%0.000%0%-1,000.000000%-1,000.000000%> 1000%900.000000%6.977%6.98%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 Mora County and Wagon Mound
Wagon Mound
Mora County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeH.S. Diploma2Total$NaN$50,417.000000$50,417.000000$50.4k374.410%4.41%$NaN$68,036.000000$68,036.000000$68.0k566.675%6.67%$21,382.000000$26,947.000000$21,382.000000$21.4k33640.048%40.0%$21,995.000000$20,951.000000$21,995.000000$22.0k839100.000%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 Mora County and Wagon Mound
Female Male
Mora County
Wagon Mound
Shaded bar tips show excess over facing bar.
$20k$10k$0k$10k$20kFMSome CollegeH.S. Diploma2Total$-16,528.000000$-15,214.000000$-16,528.000000$16.5k$16,528.000000$10,972.000000$15,214.000000$NaN$27,500.000000$27.5k10896$-12,031.000000$-25,884.000000$-12,031.000000$12.0k$12,031.000000$10,206.000000$25,884.000000$2,920.000000$22,237.000000$22.2k183153$-21,786.000000$-19,268.000000$-21,786.000000$21.8k$21,786.000000$517.000000$19,268.000000$2,999.000000$22,303.000000$22.3k436403
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 Mora County and Wagon Mound
Wagon Mound
Mora County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.034483%68.441065%81.034483%81.0%4725.362319%45.539281%25.362319%25.4%3543.229167%43.226601%43.229167%43.2%8335.975610%31.465517%35.975610%36.0%59
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 Mora County and Wagon Mound
Female Male
Mora County
Wagon Mound
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1Hispanic2Other1-2.312139%-4.716981%-2.975327%-2.312139%2.3%2.312139%8.326159%4.716981%10.638298%10.6%104-28.517110%-12.947658%-28.517110%28.5%28.517110%9.106652%12.947658%1.673554%37.623762%37.6%11475-38.333333%-17.709924%-38.333333%38.3%38.333333%17.445561%17.709924%9.521544%55.778894%55.8%11169
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 Mora County and Wagon Mound
Female Male
Mora County
Wagon Mound
Shaded bar tips show excess over facing bar.
20%10%0%10%MFWhite1Hispanic2Other1-14.893617%-0.135285%-19.811321%-1.258913%-15.028902%15.0%14.893617%19.811321%14.893617%14.9%1426-4.290429%-10.918696%-9.733701%-15.209125%15.2%4.290429%9.733701%4.054178%4.290429%4.3%1340-2.777778%-1.374046%-2.777778%2.8%2.777778%0.237298%1.374046%4.223534%3.015075%3.0%65
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 New Mexico

There are 130 county subdivisions in New Mexico. This section compares Wagon Mound to the 50 most populous county subdivisions in New Mexico and to those entities that contain or substantially overlap with Wagon Mound. The least populous of the compared county subdivisions has a population of 6,101.

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 Wagon Mound, selected other county subdivisions in New Mexico, and entities that contain Wagon Mound
0%10%20%30%40%Count#AnthonySouthwest ChavesSW ChavesSoutheast OteroSE OteroRed RockLovingtonSouth Doña AnaS Doña AnaDeming SouthZuniHobbsCrownpointNapi HeadquartersWagon MoundNavajo NationOhkay OwingehShiprock-SanosteeGallupGrantsPortalesSanto Domingo-San FelipeSanto Domingo-Sa…SocorroTucumcariEstanciaWest BernalilloW BernalilloRoswellLos LunasArtesiaBloomfieldBelenLas VegasClovisAztecTruth or Consequences EastTruth or Conseque…Santa Clara PuebloLas CrucesNew MexicoSouth Rio ArribaS Rio ArribaWestSilver CitySanta Fe NorthSanta Fe NDoña Ana-HillCarlsbadUnited States of AmericaUnited StatesSanta FeRatonMora CountyMora955200Tract 955200AlbuquerqueFarmingtonRuidosoMountainAlamogordoTaosSanta Fe SouthSanta Fe SRio RanchoEast BernalilloE BernalilloLos AlamosWhite Rock40.850277%40.850277%40.9%6,851138.120033%38.120033%38.1%1,391233.052218%33.052218%33.1%2,861332.479470%32.479470%32.5%4,311431.070873%31.070873%31.1%2,797530.425572%30.425572%30.4%4,883628.084453%28.084453%28.1%3,658727.511737%27.511737%27.5%1,758827.215394%27.215394%27.2%7,595926.194444%26.194444%26.2%9431026.012891%26.012891%26.0%1,1301124.553039%24.553039%24.6%20622.869090%22.869090%22.9%1,4221222.735079%22.735079%22.7%1,0591321.716919%21.716919%21.7%2,1681421.107859%21.107859%21.1%2,9571521.032574%21.032574%21.0%2,9251621.030774%21.030774%21.0%1,9751720.548961%20.548961%20.5%1,1081820.341698%20.341698%20.3%1,9051918.934142%18.934142%18.9%8742018.820563%18.820563%18.8%1,7172118.552294%18.552294%18.6%1,3022218.401202%18.401202%18.4%5,6352318.395881%18.395881%18.4%6,7892418.127334%18.127334%18.1%2,0872518.106679%18.106679%18.1%1,8842618.055349%18.055349%18.1%2,4272717.938287%17.938287%17.9%2,3372817.160423%17.160423%17.2%5,0802917.076813%17.076813%17.1%2,8593016.349432%16.349432%16.3%1,1513115.443295%15.443295%15.4%9113215.419065%15.419065%15.4%9,7783315.372147%15.372147%15.4%211,201211k15.022506%15.022506%15.0%8013414.435746%14.435746%14.4%7,178,2187.18M14.201838%14.201838%14.2%1,6693513.831567%13.831567%13.8%1,7363613.752592%13.752592%13.8%3,1843713.545287%13.545287%13.5%3,1573813.020590%13.020590%13.0%27,818,38027.8M12.904745%12.904745%12.9%8,2183912.516824%12.516824%12.5%6514012.284197%12.284197%12.3%37012.284197%12.284197%12.3%37012.089143%12.089143%12.1%52,21752.2k4112.076426%12.076426%12.1%3,9634211.641707%11.641707%11.6%1,2364311.572881%11.572881%11.6%1,755,2861.76M11.055490%11.055490%11.1%3,1144410.540213%10.540213%10.5%1,477458.515047%8.515047%8.5%2,671467.737620%7.737620%7.7%6,305474.318710%4.318710%4.3%632483.451471%3.451471%3.5%298491.468429%1.468429%1.5%6050
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 Wagon Mound, selected other county subdivisions in New Mexico, and entities that contain Wagon Mound
0%20%40%60%Count#Los AlamosWhite RockSanta Fe SouthSanta Fe SEast BernalilloE BernalilloSanta FeLas CrucesAlbuquerqueRio RanchoWestSilver CityUnited States of AmericaUnited StatesMountainTaosRuidosoDoña Ana-HillNew MexicoSanta Fe NorthSanta Fe NWest BernalilloW BernalilloPortalesSanta Clara PuebloSouth Rio ArribaS Rio ArribaRoswellLas VegasFarmingtonAlamogordoClovisGallupSocorroLos LunasSouth Doña AnaS Doña AnaCarlsbadEstanciaArtesiaRatonTruth or Consequences EastTruth or Conseque…BloomfieldDeming SouthHobbsBelenAztecTucumcariMora CountyMora955200Tract 955200GrantsSoutheast OteroSE OteroSanto Domingo-San FelipeSanto Domingo-Sa…Wagon MoundOhkay OwingehShiprock-SanosteeLovingtonAnthonySouthwest ChavesSW ChavesCrownpointRed RockNavajo NationZuniNapi Headquarters66.006486%66.006486%66.0%5,699161.600587%61.600587%61.6%2,517246.509181%46.509181%46.5%14,58914.6k344.403444%44.403444%44.4%6,498441.127791%41.127791%41.1%26,19126.2k533.652921%33.652921%33.7%21,34121.3k632.636312%32.636312%32.6%140,967141k731.854943%31.854943%31.9%25,95726.0k831.501368%31.501368%31.5%15,664,15015.7M31.398911%31.398911%31.4%3,690930.315023%30.315023%30.3%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M29.772354%29.772354%29.8%4,1721029.650560%29.650560%29.7%3,1481129.211299%29.211299%29.2%6,7631226.656428%26.656428%26.7%366,238366k26.221018%26.221018%26.2%3,2911322.998005%22.998005%23.0%1,6141422.723885%22.723885%22.7%2,1341522.461434%22.461434%22.5%1,3251621.492873%21.492873%21.5%1,1461721.369559%21.369559%21.4%6,5441820.141234%20.141234%20.1%2,6241920.109093%20.109093%20.1%6,5992019.696808%19.696808%19.7%5,5482119.545316%19.545316%19.5%5,7862219.473196%19.473196%19.5%2,7282319.327282%19.327282%19.3%1,8102418.176399%18.176399%18.2%6,7082518.169356%18.169356%18.2%2,9162618.101858%18.101858%18.1%4,2192716.770799%16.770799%16.8%1,5302816.042734%16.042734%16.0%1,8472915.420112%15.420112%15.4%8023015.340909%15.340909%15.3%1,0803114.521864%14.521864%14.5%1,5113214.479846%14.479846%14.5%1,8863314.444405%14.444405%14.4%4,0313414.231513%14.231513%14.2%1,9133514.066420%14.066420%14.1%2,3553613.669844%13.669844%13.7%6313713.180611%13.180611%13.2%39713.180611%13.180611%13.2%39712.691450%12.691450%12.7%1,7653812.292052%12.292052%12.3%1,0643911.313056%11.313056%11.3%6104011.084625%11.084625%11.1%9310.433663%10.433663%10.4%4864110.327557%10.327557%10.3%1,031429.664519%9.664519%9.7%870439.504502%9.504502%9.5%1,594449.482050%9.482050%9.5%346458.138889%8.138889%8.1%293466.938899%6.938899%6.9%921476.883242%6.883242%6.9%428486.478873%6.478873%6.5%414496.238490%6.238490%6.2%27150
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 Wagon Mound, selected other county subdivisions in New Mexico, and entities that contain Wagon Mound
0%5%10%15%20%Count#Los AlamosWhite RockSanta Fe SouthSanta Fe SSanta FeEast BernalilloE BernalilloSanta Fe NorthSanta Fe NAlbuquerqueLas CrucesTaosSilver CityWestRio RanchoNew MexicoUnited States of AmericaUnited StatesMountainPortalesGallupSocorroFarmingtonDoña Ana-HillWest BernalilloW BernalilloLas VegasRuidosoSouth Rio ArribaS Rio ArribaCarlsbadAztecAlamogordoRatonMora CountyMora955200Tract 955200Southeast OteroSE OteroSouth Doña AnaS Doña AnaRoswellTucumcariTruth or Consequences EastTruth or Conseque…Wagon MoundEstanciaSanta Clara PuebloBelenHobbsSouthwest ChavesSW ChavesLos LunasClovisLovingtonNapi HeadquartersShiprock-SanosteeSanto Domingo-San FelipeSanto Domingo-Sa…GrantsDeming SouthCrownpointAnthonyBloomfieldRed RockOhkay OwingehZuniNavajo NationArtesia24.252953%24.252953%24.3%2,094114.415076%14.415076%14.4%58927.118720%7.118720%7.1%2,23336.973713%6.973713%7.0%4,44145.200219%5.200219%5.2%76155.075293%5.075293%5.1%63764.631274%4.631274%4.6%20,00420.0k74.480013%4.480013%4.5%2,84184.403054%4.403054%4.4%61794.348196%4.348196%4.3%511103.594387%3.594387%3.6%1,787,3201.79M3.506167%3.506167%3.5%2,857113.389208%3.389208%3.4%46,56546.6k3.336158%3.336158%3.3%7,127,6737.13M3.117008%3.117008%3.1%472,764473k2.779257%2.779257%2.8%261122.755372%2.755372%2.8%386132.637480%2.637480%2.6%247142.361653%2.361653%2.4%775152.237388%2.237388%2.2%518162.165859%2.165859%2.2%152172.095487%2.095487%2.1%273182.034473%2.034473%2.0%216191.987997%1.987997%2.0%106201.729094%1.729094%1.7%403211.654522%1.654522%1.7%277221.526609%1.526609%1.5%430231.518939%1.518939%1.5%79241.494024%1.494024%1.5%451.494024%1.494024%1.5%451.478743%1.478743%1.5%128251.395726%1.395726%1.4%224261.289880%1.289880%1.3%395271.213172%1.213172%1.2%56281.193182%1.193182%1.2%84291.191895%1.191895%1.2%101.172860%1.172860%1.2%107301.169690%1.169690%1.2%69311.071269%1.071269%1.1%144321.049916%1.049916%1.0%293331.013976%1.013976%1.0%37340.961929%0.961929%1.0%355350.901936%0.901936%0.9%267360.799822%0.799822%0.8%72370.782689%0.782689%0.8%34380.751277%0.751277%0.8%75390.704748%0.704748%0.7%38400.690300%0.690300%0.7%96410.614203%0.614203%0.6%80420.555556%0.555556%0.6%20430.512790%0.512790%0.5%86440.451706%0.451706%0.5%47450.376705%0.376705%0.4%50460.364964%0.364964%0.4%17470.328638%0.328638%0.3%21480.176906%0.176906%0.2%11490.165031%0.165031%0.2%1950
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 Wagon Mound, selected other county subdivisions in New Mexico, and entities that contain Wagon Mound
Female
Male
1x0x1xFM#White RockWagon MoundTruth or Consequences ETruth or Conseque…Santa Fe SPortalesEstanciaNapi HeadquartersRuidosoCrownpointRoswellRatonLos LunasTaosBloomfieldSanta FeGrantsSanta Fe NZuniRio RanchoLas VegasLovingtonE BernalilloSE OteroMoraTract 955200SocorroHobbsOhkay OwingehNavajo NationW BernalilloUnited StatesCarlsbadNew MexicoMountainBelenSanta Clara PuebloArtesiaS Rio ArribaAlbuquerqueTucumcariWestAlamogordoSW ChavesRed RockAztecAnthonyFarmingtonS Doña AnaClovisLas CrucesGallupSanto Domingo-San FelipeSanto Domingo-Sa…Silver CityShiprock-SanosteeDeming SouthDoña Ana-HillLos Alamos-1.000000x-1.000000x1.762140x1.762140x1.76x1.077%1.08%1.897%1.90%1-1.000000x-1.000000x1.739234x1.739234x1.74x18.119%18.1%31.514%31.5%-1.000000x-1.000000x1.722729x1.722729x1.72x12.130%12.1%20.897%20.9%2-1.000000x-1.000000x1.669198x1.669198x1.67x6.399%6.40%10.680%10.7%3-1.000000x-1.000000x1.547521x1.547521x1.55x16.540%16.5%25.596%25.6%4-1.000000x-1.000000x1.480373x1.480373x1.48x15.072%15.1%22.312%22.3%5-1.000000x-1.000000x1.409622x1.409622x1.41x21.618%21.6%30.473%30.5%6-1.000000x-1.000000x1.345999x1.345999x1.35x9.961%9.96%13.408%13.4%7-1.000000x-1.000000x1.337765x1.337765x1.34x22.442%22.4%30.022%30.0%8-1.000000x-1.000000x1.308831x1.308831x1.31x16.084%16.1%21.052%21.1%9-1.000000x-1.000000x1.301973x1.301973x1.30x10.916%10.9%14.212%14.2%10-1.000000x-1.000000x1.272671x1.272671x1.27x16.207%16.2%20.626%20.6%11-1.000000x-1.000000x1.269517x1.269517x1.27x9.393%9.39%11.925%11.9%12-1.000000x-1.000000x1.266684x1.266684x1.27x15.948%15.9%20.201%20.2%13-1.000000x-1.000000x1.265931x1.265931x1.27x11.485%11.5%14.540%14.5%14-1.000000x-1.000000x1.247459x1.247459x1.25x18.686%18.7%23.310%23.3%15-1.000000x-1.000000x1.229409x1.229409x1.23x12.378%12.4%15.217%15.2%16-1.000000x-1.000000x1.222636x1.222636x1.22x24.833%24.8%30.362%30.4%17-1.000000x-1.000000x1.189890x1.189890x1.19x7.093%7.09%8.440%8.44%18-1.000000x-1.000000x1.189717x1.189717x1.19x16.466%16.5%19.590%19.6%19-1.000000x-1.000000x1.151147x1.151147x1.15x28.886%28.9%33.252%33.3%20-1.000000x-1.000000x1.150649x1.150649x1.15x4.030%4.03%4.637%4.64%21-1.000000x-1.000000x1.147669x1.147669x1.15x30.570%30.6%35.084%35.1%22-1.000000x-1.000000x1.144515x1.144515x1.14x11.421%11.4%13.071%13.1%-1.000000x-1.000000x1.144515x1.144515x1.14x11.421%11.4%13.071%13.1%-1.000000x-1.000000x1.128639x1.128639x1.13x19.109%19.1%21.567%21.6%23-1.000000x-1.000000x1.118999x1.118999x1.12x25.643%25.6%28.695%28.7%24-1.000000x-1.000000x1.118470x1.118470x1.12x21.450%21.5%23.992%24.0%25-1.000000x-1.000000x1.115120x1.115120x1.12x21.730%21.7%24.232%24.2%26-1.000000x-1.000000x1.113705x1.113705x1.11x17.394%17.4%19.372%19.4%27-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107318x1.107318x1.11x12.864%12.9%14.245%14.2%28-1.000000x-1.000000x1.107012x1.107012x1.11x14.612%14.6%16.176%16.2%-1.000000x-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-1.000000x-1.000000x1.082885x1.082885x1.08x17.345%17.3%18.783%18.8%29-1.000000x-1.000000x1.080135x1.080135x1.08x14.895%14.9%16.089%16.1%30-1.000000x-1.000000x1.072881x1.072881x1.07x17.469%17.5%18.743%18.7%31-1.000000x-1.000000x1.071745x1.071745x1.07x14.519%14.5%15.561%15.6%32-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%33-1.000000x-1.000000x1.053784x1.053784x1.05x18.465%18.5%19.458%19.5%34-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.048831x1.048831x1.05x10.797%10.8%11.325%11.3%35-1.000000x-1.000000x1.040016x1.040016x1.04x37.324%37.3%38.817%38.8%36-1.000000x-1.000000x1.033856x1.033856x1.03x31.972%32.0%33.055%33.1%37-1.000000x-1.000000x1.022222x1.022222x1.02x16.894%16.9%17.269%17.3%38-1.000000x-1.000000x1.021027x1.021027x1.02x40.442%40.4%41.293%41.3%39-1.000000x-1.000000x1.013530x1.013530x1.01x11.998%12.0%12.160%12.2%40-1.000000x-1.000000x1.008704x1.008704x1.01x30.305%30.3%30.569%30.6%41-1.051319x-1.051319x1.05x1.000000x1.000000x17.591%17.6%16.732%16.7%42-1.068921x-1.068921x1.07x1.000000x1.000000x15.913%15.9%14.887%14.9%43-1.077621x-1.077621x1.08x1.000000x1.000000x21.810%21.8%20.239%20.2%44-1.087328x-1.087328x1.09x1.000000x1.000000x21.380%21.4%19.663%19.7%45-1.138915x-1.138915x1.14x1.000000x1.000000x15.075%15.1%13.237%13.2%46-1.155198x-1.155198x1.16x1.000000x1.000000x23.254%23.3%20.130%20.1%47-1.264546x-1.264546x1.26x1.000000x1.000000x31.231%31.2%24.697%24.7%48-1.575858x-1.575858x1.58x1.000000x1.000000x16.740%16.7%10.623%10.6%49-1.710623x-1.710623x1.71x1.000000x1.000000x4.398%4.40%2.571%2.57%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Wagon Mound, selected other county subdivisions in New Mexico, and entities that contain Wagon Mound
Female
Male
10x5x0xFM#Deming SouthCarlsbadSocorroNavajo NationSW ChavesWhite RockRed RockRuidosoLovingtonRoswellAlamogordoOhkay OwingehLos AlamosLos LunasW BernalilloFarmingtonLas CrucesBloomfieldGallupSE OteroAlbuquerqueSanta Fe SMountainHobbsWagon MoundAztecNew MexicoDoña Ana-HillSanta FeRatonSanta Fe NUnited StatesGrantsWestE BernalilloNapi HeadquartersClovisLas VegasRio RanchoSanta Clara PuebloEstanciaSilver CityMoraTract 955200PortalesTaosCrownpointTucumcariTruth or Consequences ETruth or Conseque…S Doña AnaSanto Domingo-San FelipeSanto Domingo-Sa…Shiprock-SanosteeZuniS Rio ArribaBelenAnthonyArtesia-1.000000x-1.000000x4.665657x4.665657x4.67x0.222%0.22%1.036%1.04%1-1.000000x-1.000000x3.899668x3.899668x3.90x0.711%0.71%2.774%2.77%2-1.000000x-1.000000x3.469356x3.469356x3.47x1.178%1.18%4.088%4.09%3-1.000000x-1.000000x3.190392x3.190392x3.19x0.089%0.09%0.283%0.28%4-1.000000x-1.000000x3.175835x3.175835x3.18x0.469%0.47%1.491%1.49%5-1.000000x-1.000000x3.014052x3.014052x3.01x7.350%7.35%22.154%22.2%6-1.000000x-1.000000x2.915802x2.915802x2.92x0.198%0.20%0.579%0.58%7-1.000000x-1.000000x2.797255x2.797255x2.80x1.084%1.08%3.033%3.03%8-1.000000x-1.000000x2.784520x2.784520x2.78x0.423%0.42%1.176%1.18%9-1.000000x-1.000000x2.621362x2.621362x2.62x0.734%0.73%1.925%1.93%10-1.000000x-1.000000x2.517545x2.517545x2.52x0.876%0.88%2.205%2.21%11-1.000000x-1.000000x2.347006x2.347006x2.35x0.217%0.22%0.510%0.51%12-1.000000x-1.000000x2.316318x2.316318x2.32x14.420%14.4%33.400%33.4%13-1.000000x-1.000000x2.209872x2.209872x2.21x0.601%0.60%1.329%1.33%14-1.000000x-1.000000x2.200410x2.200410x2.20x1.272%1.27%2.799%2.80%15-1.000000x-1.000000x2.188131x2.188131x2.19x1.501%1.50%3.285%3.28%16-1.000000x-1.000000x1.937786x1.937786x1.94x3.087%3.09%5.981%5.98%17-1.000000x-1.000000x1.879177x1.879177x1.88x0.312%0.31%0.587%0.59%18-1.000000x-1.000000x1.802935x1.802935x1.80x2.027%2.03%3.655%3.66%19-1.000000x-1.000000x1.736790x1.736790x1.74x1.052%1.05%1.828%1.83%20-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%21-1.000000x-1.000000x1.699865x1.699865x1.70x5.289%5.29%8.991%8.99%22-1.000000x-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.635438x1.635438x1.64x0.791%0.79%1.294%1.29%23-1.000000x-1.000000x1.622829x1.622829x1.62x0.917%0.92%1.489%1.49%-1.000000x-1.000000x1.597077x1.597077x1.60x1.282%1.28%2.047%2.05%24-1.000000x-1.000000x1.591747x1.591747x1.59x2.632%2.63%4.190%4.19%-1.000000x-1.000000x1.586902x1.586902x1.59x1.739%1.74%2.760%2.76%25-1.000000x-1.000000x1.566106x1.566106x1.57x5.521%5.52%8.647%8.65%26-1.000000x-1.000000x1.555386x1.555386x1.56x1.196%1.20%1.861%1.86%27-1.000000x-1.000000x1.544959x1.544959x1.54x3.968%3.97%6.130%6.13%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.481545x1.481545x1.48x0.555%0.55%0.822%0.82%29-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.468826x1.468826x1.47x4.251%4.25%6.245%6.24%30-1.000000x-1.000000x1.449775x1.449775x1.45x0.640%0.64%0.928%0.93%31-1.000000x-1.000000x1.422171x1.422171x1.42x0.745%0.74%1.059%1.06%32-1.000000x-1.000000x1.388060x1.388060x1.39x1.771%1.77%2.459%2.46%33-1.000000x-1.000000x1.181897x1.181897x1.18x3.226%3.23%3.812%3.81%34-1.000000x-1.000000x1.078690x1.078690x1.08x1.129%1.13%1.218%1.22%35-1.094142x-1.094142x1.09x1.000000x1.000000x1.228%1.23%1.122%1.12%36-1.256017x-1.256017x1.26x1.000000x1.000000x4.814%4.81%3.833%3.83%37-1.371866x-1.371866x1.37x1.000000x1.000000x1.741%1.74%1.269%1.27%-1.371866x-1.371866x1.37x1.000000x1.000000x1.741%1.74%1.269%1.27%-1.393624x-1.393624x1.39x1.000000x1.000000x3.232%3.23%2.319%2.32%38-1.422864x-1.422864x1.42x1.000000x1.000000x5.088%5.09%3.576%3.58%39-1.470297x-1.470297x1.47x1.000000x1.000000x0.660%0.66%0.449%0.45%40-1.490220x-1.490220x1.49x1.000000x1.000000x1.436%1.44%0.964%0.96%41-1.855422x-1.855422x1.86x1.000000x1.000000x1.533%1.53%0.826%0.83%42-1.878106x-1.878106x1.88x1.000000x1.000000x1.773%1.77%0.944%0.94%43-2.031201x-2.031201x2.03x1.000000x1.000000x0.934%0.93%0.460%0.46%44-2.190858x-2.190858x2.19x1.000000x1.000000x1.026%1.03%0.468%0.47%45-2.349727x-2.349727x2.35x1.000000x1.000000x0.455%0.46%0.194%0.19%46-3.195917x-3.195917x3.20x1.000000x1.000000x2.976%2.98%0.931%0.93%47-3.415625x-3.415625x3.42x1.000000x1.000000x1.646%1.65%0.482%0.48%48-7.887857x-7.887857x7.89x1.000000x1.000000x0.882%0.88%0.112%0.11%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.341%0.34%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 Wagon Mound to the 50 most populous county subdivisions in the West and to those entities that contain or substantially overlap with Wagon Mound. 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 Wagon Mound, selected other county subdivisions in the West, and entities that contain Wagon Mound
0%20%40%Count#South Gate-East Los AngelesS Gate-E Los Ang…ComptonSan BernardinoStocktonInglewoodBakersfieldLos AngelesWagon MoundSouthwest 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 VegasNew MexicoPhoenixWestSacramentoDenverUnited States of AmericaUnited StatesSan DiegoSan JoseSan FranciscoMora CountyMora955200Tract 955200TucsonAlbuquerqueNorth CoastMountainSan MateoTacomaHonoluluSalt Lake CitySalt Lk CityPortland EastSouth AuroraBeaverton-HillsboroSeattleFremontEwaSpokaneColorado SpringsColorado SpgsNortheast JeffersonNE JeffersonChandlerCentral Contra CostaCntrl Contra CostaBoise CitySeattle East52.521141%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%434,160434k724.553039%24.553039%24.6%20624.185288%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%198,651199k2415.372147%15.372147%15.4%211,201211k14.952077%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%84,02484.0k3012.284197%12.284197%12.3%37012.284197%12.284197%12.3%37012.262851%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%18,56218.6k456.409667%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%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Wagon Mound, selected other county subdivisions in the West, and entities that contain Wagon Mound
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 StatesMountainUpper 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 VlyNew MexicoTacomaFresnoDowney-NorwalkLas VegasRiversideWhittierInglewoodSan BernardinoStocktonModestoBakersfieldComptonMora CountyMora955200Tract 955200Victorville-HesperiaWagon MoundSouth 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%4,568,4054.57M29.571143%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%62,24262.2k3626.656428%26.656428%26.7%366,238366k24.260108%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%57,05857.1k4119.804286%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%30,82230.8k4813.180611%13.180611%13.2%39713.180611%13.180611%13.2%39712.116874%12.116874%12.1%27,67727.7k4911.084625%11.084625%11.1%936.485660%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 Wagon Mound, selected other county subdivisions in the West, and entities that contain Wagon Mound
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…New MexicoSacramentoUnited States of AmericaUnited StatesNortheast JeffersonNE JeffersonSpokaneMountainColorado SpringsColorado SpgsUpper San Gabriel ValleyUpper San Gabriel …PhoenixLong Beach-LakewoodLong Bch-LakewoodFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…South AuroraRiversideHaywardEast San Gabriel ValleyE San Gabriel VlyTacomaOntarioSouthwest San Gabriel ValleySW San Gabriel VlyLas VegasEwaSan BernardinoStocktonWhittierDowney-NorwalkBakersfieldModestoMora CountyMora955200Tract 955200InglewoodWagon MoundVictorville-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%15,21115.2k223.389208%3.389208%3.4%46,56546.6k3.380196%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%11,33911.3k292.828959%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%5,174382.155077%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%4,156451.651661%1.651661%1.7%3,324461.494024%1.494024%1.5%451.494024%1.494024%1.5%451.267904%1.267904%1.3%3,061471.191895%1.191895%1.2%100.989418%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 Wagon Mound, selected other county subdivisions in the West, and entities that contain Wagon Mound
Female
Male
1x0x1xFM#Wagon MoundMoraTract 955200InglewoodVictorville-HesperiaFresnoSan MateoUnited StatesSpokaneNew MexicoCntrl 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-1.000000x1.739234x1.739234x1.74x18.119%18.1%31.514%31.5%-1.000000x-1.000000x1.144515x1.144515x1.14x11.421%11.4%13.071%13.1%-1.000000x-1.000000x1.144515x1.144515x1.14x11.421%11.4%13.071%13.1%-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-1.000000x1.107012x1.107012x1.11x14.612%14.6%16.176%16.2%-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 Wagon Mound, selected other county subdivisions in the West, and entities that contain Wagon Mound
Female
Male
1x0x1x2xFM#Salt Lk CityUpper San Gabriel VlyUpper San Gabriel …Boise CityStocktonChandlerBakersfieldSpokaneAlbuquerqueMountainBeaverton-HillsboroPhoenixModestoWagon MoundTucsonFremontCntrl Contra CostaNew MexicoLas 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…MoraTract 955200Ewa-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%1-1.000000x-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-1.000000x1.622829x1.622829x1.62x0.917%0.92%1.489%1.49%-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-1.000000x1.591747x1.591747x1.59x2.632%2.63%4.190%4.19%-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%49-1.371866x-1.371866x1.37x1.000000x1.000000x1.741%1.74%1.269%1.27%-1.371866x-1.371866x1.37x1.000000x1.000000x1.741%1.74%1.269%1.27%-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 Wagon Mound to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Wagon Mound. 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 Wagon Mound, selected other county subdivisions in the United States, and entities that contain Wagon Mound
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesWagon MoundSouthwest 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 VegasNew MexicoPhoenixWestBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoMora CountyMora955200Tract 955200TucsonAlbuquerqueMountainTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%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%434,160434k424.553039%24.553039%24.6%20623.987048%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%198,651199k2515.372147%15.372147%15.4%211,201211k14.952077%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%84,02484.0k3612.284197%12.284197%12.3%37012.284197%12.284197%12.3%37012.262851%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%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Wagon Mound, selected other county subdivisions in the United States, and entities that contain Wagon Mound
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 StatesMountainHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioNew MexicoPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitMora CountyMora955200Tract 955200Wagon Mound60.434640%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%627,520628k3029.719611%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%111,532112k3826.656428%26.656428%26.7%366,238366k26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5013.180611%13.180611%13.2%39713.180611%13.180611%13.2%39711.084625%11.084625%11.1%93
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 Wagon Mound, selected other county subdivisions in the United States, and entities that contain Wagon Mound
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…New MexicoBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaMountainPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxMora CountyMora955200Tract 955200DetroitWagon Mound12.461852%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%15,21115.2k273.389208%3.389208%3.4%46,56546.6k3.384967%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%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.494024%1.494024%1.5%451.494024%1.494024%1.5%451.318660%1.318660%1.3%5,693501.191895%1.191895%1.2%10
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a 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 Wagon Mound, selected other county subdivisions in the United States, and entities that contain Wagon Mound
Female
Male
1x0x1xFM#Wagon Mound1, CharlotteDetroitBaltimoreTulsaSW DallasMoraTract 955200FresnoMilwaukeeUnited StatesNew MexicoNE 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-1.000000x1.739234x1.739234x1.74x18.119%18.1%31.514%31.5%-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-1.000000x1.144515x1.144515x1.14x11.421%11.4%13.071%13.1%-1.000000x-1.000000x1.144515x1.144515x1.14x11.421%11.4%13.071%13.1%-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-1.000000x1.107012x1.107012x1.11x14.612%14.6%16.176%16.2%-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 Wagon Mound, selected other county subdivisions in the United States, and entities that contain Wagon Mound
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthMountainOrlandoPhoenixWagon MoundTucson1, CharlotteNew MexicoNW HarrisLas 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 FranciscoDetroitMoraTract 955200-1.000000x-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-1.000000x1.782054x1.782054x1.78x3.355%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-1.000000x1.622829x1.622829x1.62x0.917%0.92%1.489%1.49%-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-1.000000x1.591747x1.591747x1.59x2.632%2.63%4.190%4.19%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%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%50-1.371866x-1.371866x1.37x1.000000x1.000000x1.741%1.74%1.269%1.27%-1.371866x-1.371866x1.37x1.000000x1.000000x1.741%1.74%1.269%1.27%
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:
New Mexico
County:
Mora
Unincorporated Place:
Watrous
Village:
Wagon Mound
ZIP Codes:
87701, 87712, 87734, 87735, 87750, 87752, 87753
Unified School Districts:
Las Vegas, Mora, Wagon Mound
Congressional District:
NM-3
State Senate District:
NM-8
State House District:
NM-40