Educational Attainment in Nome Census Area, Alaska (Census Area)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Alaska and Nome Census Area
Nome Census Area
Alaska
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma217.961524%37.106091%17.961524%18.0%97166.962634%55.238911%66.962634%67.0%3,62015.075842%7.654998%15.075842%15.1%815
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 Alaska at large.
Scope: population of Alaska and Nome Census Area
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-51.594135%-51.594135%-51.6%17.962%18.0%37.106%37.1%21.223669%21.223669%+21.2%66.963%67.0%55.239%55.2%96.941152%96.941152%+96.9%15.076%15.1%7.655%7.65%
% percentage with given level in Nome Census Area
ref. percentage with given level in Alaska
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 Alaska and Nome Census Area
Nome Census Area
Alaska
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.499445%1.068411%0.499445%0.5%270.369959%1.810499%0.369959%0.4%202.756197%7.525616%2.756197%2.8%14910.284869%18.387759%10.284869%10.3%5564.051054%8.313806%4.051054%4.1%21923.880873%27.511849%23.880873%23.9%1,29143.081761%27.727061%43.081761%43.1%2,3299.951905%4.925228%9.951905%10.0%5385.123936%2.088171%5.123936%5.1%2770.000000%0.000000%0.0%0.641599%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 Alaska at large.
Scope: population of Alaska and Nome Census Area
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-53.253472%-53.253472%-53.3%0.499%0.50%1.068%1.07%-79.565891%-79.565891%-79.6%0.370%0.37%1.810%1.81%-63.375799%-63.375799%-63.4%2.756%2.76%7.526%7.53%-44.066765%-44.066765%-44.1%10.285%10.3%18.388%18.4%-51.273165%-51.273165%-51.3%4.051%4.05%8.314%8.31%-13.197863%-13.197863%-13.2%23.881%23.9%27.512%27.5%55.378028%55.378028%+55.4%43.082%43.1%27.727%27.7%102.059780%102.059780%+102.1%9.952%9.95%4.925%4.93%145.379156%145.379156%+145.4%5.124%5.12%2.088%2.09%-100.000000%-100.000000%-100.0%0.000%0%0.642%0.64%
% percentage with given level in Nome Census Area
ref. percentage with given level in Alaska
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 Alaska and Nome Census Area
More Females More Males
Alaska
Nome Census Area
20%10%0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-21.825216%-21.242168%-21.825216%22%19.887%19.9%16.324%16.3%6.726285%13.714415%6.726285%7%64.614%64.6%68.960%69.0%-5.322436%-5.322436%5%1.036588%15.499%15.5%14.716%14.7%
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 Alaska and Nome Census Area
More Females More Males
Alaska
Nome Census Area
100%0%100%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3197.535934%31.662833%197.535934%198%0.242%0.24%0.719%0.72%240.041068%18.713026%240.041068%240%0.161%0.16%0.548%0.55%-147.519122%-33.652329%-147.519122%148%4.066%4.07%1.643%1.64%-27.306171%0.345452%0.345452%0%10.266%10.3%10.301%10.3%-65.461592%-14.584566%-65.461592%65%5.153%5.15%3.114%3.11%-15.287410%-15.287410%15%2.966836%25.725%25.7%22.313%22.3%19.947199%25.612731%19.947199%20%38.889%38.9%46.646%46.6%2.430404%16.899096%2.430404%2%9.823%9.82%10.062%10.1%-21.957587%-30.163352%-21.957587%22%5.676%5.68%4.654%4.65%
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 Alaska and Nome Census Area
Nome Census Area
Alaska
0%5%10%15%20%B.X.Total65+45-6435-4425-3410.833333%15.941130%10.833333%10.8%787209.619897%17.551908%9.619897%9.6%2052,13112.025316%19.212219%12.025316%12.0%1331,1069.661836%20.594256%9.661836%9.7%1401,449
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 Alaska at large.
Scope: population of Alaska and Nome Census Area
50%40%30%20%10%0%%ref.65+45-6435-4425-34-32.041621%-32.041621%32.0%10.833%10.8%15.941%15.9%-45.191733%-45.191733%45.2%9.620%9.62%17.552%17.6%-37.407976%-37.407976%37.4%12.025%12.0%19.212%19.2%-53.084803%-53.084803%53.1%9.662%9.66%20.594%20.6%
% percentage in Nome Census Area with a Bachelor's degree
ref percentage in Alaska 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 Alaska and Nome Census Area
More Females More Males
Alaska
Nome Census Area
40%20%0%20%40%FM65+45-6435-4425-3458.064516%8.492489%58.064516%58.1%8.333%8.33%13.172%13.2%-3.746659%-22.478947%-3.746659%3.7%9.819%9.82%9.464%9.46%-9.529506%-33.713710%-9.529506%9.5%12.594%12.6%11.498%11.5%-7.605102%-52.634958%-7.605102%7.6%10.045%10.0%9.335%9.34%
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 Alaska and Nome Census Area
Nome Census Area
Alaska
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$68,438.000000$72,457.000000$68,438.000000$68.4k1963.626%3.63%$51,220.000000$53,316.000000$51,220.000000$51.2k55610.285%10.3%$36,066.000000$41,869.000000$36,066.000000$36.1k1,51027.932%27.9%$20,404.000000$34,234.000000$20,404.000000$20.4k2,32943.082%43.1%$11,689.000000$25,883.000000$11,689.000000$11.7k81515.076%15.1%$27,216.000000$43,654.000000$27,216.000000$27.2k5,406100.000%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 Alaska and Nome Census Area
Female Male
Alaska
Nome Census Area
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-64,375.000000$-65,502.000000$-64,375.000000$64.4k$64,375.000000$6,875.000000$65,502.000000$16,435.000000$71,250.000000$71.3k11185$-50,644.000000$-44,083.000000$-50,644.000000$50.6k$50,644.000000$2,927.000000$44,083.000000$21,682.000000$53,571.000000$53.6k255301$-31,893.000000$-6,857.000000$-33,579.000000$-38,750.000000$38.8k$31,893.000000$33,579.000000$18,184.000000$31,893.000000$31.9k767743$-18,864.000000$-26,695.000000$-18,864.000000$18.9k$18,864.000000$2,450.000000$26,695.000000$14,156.000000$21,314.000000$21.3k9661,363$-11,447.000000$-497.000000$-20,339.000000$-11,944.000000$11.9k$11,447.000000$20,339.000000$10,033.000000$11,447.000000$11.4k385430$-26,588.000000$-2,162.000000$-36,268.000000$-28,750.000000$28.8k$26,588.000000$36,268.000000$15,733.000000$26,588.000000$26.6k2,4842,922
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Alaska and Nome Census Area
Nome Census Area
Alaska
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%32.796887%030.000000%54.612391%30.000000%30.0%370.000000%12.590723%70.000000%70.0%70.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Alaska and Nome Census Area
Nome Census Area
Alaska
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma393.087558%84.942997%93.087558%93.1%60672.734027%76.332056%72.734027%72.7%97954.541176%66.353741%54.541176%54.5%1,15932.801418%49.984672%32.801418%32.8%185
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Alaska and Nome Census Area
Female Male
Alaska
Nome Census Area
Shaded bar tips show excess over facing bar.
40%30%20%10%0%10%MFWhite1BlackAsianHispanic2Other1-1.960784%-3.966796%-1.960784%2.0%1.960784%0.107163%3.966796%0.652085%2.067947%2.1%1410-0.000000%-9.309406%0.000000%0.0%0.000000%0.000000%9.309406%1.893723%0.000000%0.0%00-0.000000%-41.463415%-15.732002%-4.523171%-41.463415%41.5%0.000000%15.732002%0.000000%0.0%017-2.083333%-12.383234%-1.182625%-2.083333%2.1%2.083333%7.672764%12.383234%9.756098%9.8%41-18.981972%-14.132531%-18.981972%19.0%18.981972%0.865356%14.132531%1.728056%19.847328%19.8%416358
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Alaska and Nome Census Area
Female Male
Alaska
Nome Census Area
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-41.358936%-8.641064%-31.562154%-7.001438%-50.000000%50.0%41.358936%31.562154%41.358936%41.4%280255-14.285714%-35.714286%-13.400046%-16.675262%-50.000000%50.0%14.285714%13.400046%14.285714%14.3%84-14.634146%-21.636378%-5.823315%-14.634146%14.6%14.634146%51.519700%21.636378%66.153846%66.2%436-24.390244%-2.693089%-15.297405%-6.124579%-27.083333%27.1%24.390244%15.297405%24.390244%24.4%1013-2.146947%-2.731102%-9.574258%-4.053918%-4.878049%4.9%2.146947%9.574258%2.146947%2.1%4592
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by Place in Nome Census Area

There are 17 places in Nome Census Area. This section compares all 17 of those to each other, Nome Census Area, and other entities that contain or substantially overlap with Nome Census Area.

No H.S. Diploma by Place#16

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Nome Census Area, selected places in Nome Census Area, and entities that contain Nome Census Area
0%10%20%30%Count#SavoongaTellerDiomedeGambellStebbinsBrevig MissionBering Strait School DistrictBering StraitShishmarefWalesSt. MichaelKoyukPacificNome Census AreaNomeWestShaktoolikUnited States of AmericaUnited StatesWhite MountainWhite MtnGolovinUnalakleetElimAlaskaNomePort Clarence36.448598%36.448598%36.4%156132.978723%32.978723%33.0%31232.000000%32.000000%32.0%8328.125000%28.125000%28.1%108427.530364%27.530364%27.5%68523.076923%23.076923%23.1%45620.818676%20.818676%20.8%65119.475655%19.475655%19.5%52718.292683%18.292683%18.3%15817.277487%17.277487%17.3%33916.521739%16.521739%16.5%191015.692232%15.692232%15.7%5,422,9325.42M15.075842%15.075842%15.1%81514.435746%14.435746%14.4%7,178,2187.18M13.286713%13.286713%13.3%191113.020590%13.020590%13.0%27,818,38027.8M12.621359%12.621359%12.6%131210.958904%10.958904%11.0%81310.550459%10.550459%10.6%46149.696970%9.696970%9.7%16157.654998%7.654998%7.7%36,03236.0k7.196139%7.196139%7.2%164160.000000%0.000000%0.0%017
Count number of people in category
# rank of place out of 17 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#17

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Nome Census Area, selected places in Nome Census Area, and entities that contain Nome Census Area
0%10%20%30%Count#PacificWestUnited States of AmericaUnited StatesAlaskaNomeUnalakleetNome Census AreaNomeWhite MountainWhite MtnGambellBering Strait School DistrictBering StraitGolovinKoyukWalesShishmarefStebbinsShaktoolikSavoongaSt. MichaelBrevig MissionElimTellerDiomedePort Clarence32.107540%32.107540%32.1%11,095,74511.1M31.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M28.792286%28.792286%28.8%135,525136k23.387451%23.387451%23.4%533114.908257%14.908257%14.9%65213.910470%13.910470%13.9%75210.679612%10.679612%10.7%1137.552083%7.552083%7.6%2947.003518%7.003518%7.0%2195.479452%5.479452%5.5%455.217391%5.217391%5.2%664.878049%4.878049%4.9%474.868914%4.868914%4.9%1384.048583%4.048583%4.0%1093.496503%3.496503%3.5%5102.803738%2.803738%2.8%12112.617801%2.617801%2.6%5122.051282%2.051282%2.1%4131.818182%1.818182%1.8%3140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%017
Count number of people in category
# rank of place out of 17 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#18

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Nome Census Area, selected places in Nome Census Area, and entities that contain Nome Census Area
0%1%2%3%Count#PacificWestUnited States of AmericaUnited StatesAlaskaNomeStebbinsUnalakleetNome Census AreaNomeBering Strait School DistrictBering StraitSavoongaGambellShishmarefSt. MichaelBrevig MissionElimKoyukShaktoolikWhite MountainWhite MtnWalesTellerGolovinDiomedePort Clarence3.803905%3.803905%3.8%1,314,5561.31M3.594387%3.594387%3.6%1,787,3201.79M3.336158%3.336158%3.3%7,127,6737.13M2.878910%2.878910%2.9%13,55113.6k1.667398%1.667398%1.7%3811.214575%1.214575%1.2%321.146789%1.146789%1.1%530.869404%0.869404%0.9%470.287816%0.287816%0.3%90.233645%0.233645%0.2%140.000000%0.000000%0.0%050.000000%0.000000%0.0%060.000000%0.000000%0.0%070.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%017
Count number of people in category
# rank of place out of 17 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 Place#19

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 Nome Census Area, selected places in Nome Census Area, and entities that contain Nome Census Area
Female
Male
6x4x2x0xFM#ShishmarefKoyukSavoongaTellerUnited StatesWestPacificAlaskaGambellBering StraitNomeNomeStebbinsBrevig MissionShaktoolikWalesSt. MichaelUnalakleetWhite MtnDiomedeGolovinElim-1.000000x-1.000000x1.528910x1.528910x1.53x15.200%15.2%23.239%23.2%1-1.000000x-1.000000x1.399123x1.399123x1.40x13.793%13.8%19.298%19.3%2-1.000000x-1.000000x1.294904x1.294904x1.29x31.500%31.5%40.789%40.8%3-1.000000x-1.000000x1.224843x1.224843x1.22x29.268%29.3%35.849%35.8%4-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.010366x1.010366x1.01x7.614%7.61%7.693%7.69%-1.044655x-1.044655x1.04x1.000000x1.000000x28.834%28.8%27.602%27.6%5-1.049854x-1.049854x1.05x1.000000x1.000000x21.369%21.4%20.354%20.4%-1.053224x-1.053224x1.05x1.000000x1.000000x15.499%15.5%14.716%14.7%-1.084019x-1.084019x1.08x1.000000x1.000000x7.510%7.51%6.927%6.93%6-1.103730x-1.103730x1.10x1.000000x1.000000x29.126%29.1%26.389%26.4%7-1.300000x-1.300000x1.30x1.000000x1.000000x26.000%26.0%20.000%20.0%8-1.355903x-1.355903x1.36x1.000000x1.000000x15.278%15.3%11.268%11.3%9-1.687500x-1.687500x1.69x1.000000x1.000000x25.000%25.0%14.815%14.8%10-1.800699x-1.800699x1.80x1.000000x1.000000x22.727%22.7%12.621%12.6%11-1.857877x-1.857877x1.86x1.000000x1.000000x13.699%13.7%7.373%7.37%12-2.479592x-2.479592x2.48x1.000000x1.000000x18.367%18.4%7.407%7.41%13-4.285714x-4.285714x4.29x1.000000x1.000000x71.429%71.4%16.667%16.7%14-4.300000x-4.300000x4.30x1.000000x1.000000x20.000%20.0%4.651%4.65%15-6.338308x-6.338308x6.34x1.000000x1.000000x19.403%19.4%3.061%3.06%16
F percentage of females in category
M percentage of males in category
# rank of place out of 16 by male-to-female sex ratio

Over-Education Sex Ratio by Place#20

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 Nome Census Area, selected places in Nome Census Area, and entities that contain Nome Census Area
Female
Male
0x5x10xFM#SavoongaStebbinsNomeNomeUnited StatesWestPacificAlaskaBering StraitUnalakleet-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.439%0.44%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.083%2.08%2-1.000000x-1.000000x4.572670x4.572670x4.57x0.570%0.57%2.608%2.61%3-1.000000x-1.000000x3.145380x3.145380x3.15x0.403%0.40%1.266%1.27%-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-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.233407x1.233407x1.23x2.568%2.57%3.167%3.17%-1.000000x-1.000000x1.056047x1.056047x1.06x0.279%0.28%0.295%0.29%-3.963470x-3.963470x3.96x1.000000x1.000000x1.826%1.83%0.461%0.46%4
F percentage of females in category
M percentage of males in category
# rank of place out of 4 by male-to-female sex ratio

Educational Attainment by County Subdivision in Nome Census Area

There is 1 county subdivision in Nome Census Area. This section compares all 1 of those to each other, Nome Census Area, and other entities that contain or substantially overlap with Nome Census Area.

No H.S. Diploma by County Subdivision#21

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Nome Census Area, selected county subdivisions in Nome Census Area, and entities that contain Nome Census Area
0%5%10%15%20%Count#Bering Strait School DistrictBering StraitPacificNome Census AreaNomeNomeWestUnited States of AmericaUnited StatesAlaska20.818676%20.818676%20.8%65115.692232%15.692232%15.7%5,422,9325.42M15.075842%15.075842%15.1%81515.075842%15.075842%15.1%815114.435746%14.435746%14.4%7,178,2187.18M13.020590%13.020590%13.0%27,818,38027.8M7.654998%7.654998%7.7%36,03236.0k
Count number of people in category
# rank of county subdivision out of 1 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#22

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Nome Census Area, selected county subdivisions in Nome Census Area, and entities that contain Nome Census Area
0%5%10%15%20%25%30%Count#PacificWestUnited States of AmericaUnited StatesAlaskaNome Census AreaNomeNomeBering Strait School DistrictBering Strait32.107540%32.107540%32.1%11,095,74511.1M31.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M28.792286%28.792286%28.8%135,525136k13.910470%13.910470%13.9%75213.910470%13.910470%13.9%75217.003518%7.003518%7.0%219
Count number of people in category
# rank of county subdivision out of 1 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#23

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Nome Census Area, selected county subdivisions in Nome Census Area, and entities that contain Nome Census Area
0%1%2%3%Count#PacificWestUnited States of AmericaUnited StatesAlaskaNome Census AreaNomeNomeBering Strait School DistrictBering Strait3.803905%3.803905%3.8%1,314,5561.31M3.594387%3.594387%3.6%1,787,3201.79M3.336158%3.336158%3.3%7,127,6737.13M2.878910%2.878910%2.9%13,55113.6k0.869404%0.869404%0.9%470.869404%0.869404%0.9%4710.287816%0.287816%0.3%9
Count number of people in category
# rank of county subdivision out of 1 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#24

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 Nome Census Area, selected county subdivisions in Nome Census Area, and entities that contain Nome Census Area
Female
Male
1.0x0.5x0.0x0.5x1.0xFM#United StatesWestPacificAlaskaBering StraitNomeNome-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.010366x1.010366x1.01x7.614%7.61%7.693%7.69%-1.049854x-1.049854x1.05x1.000000x1.000000x21.369%21.4%20.354%20.4%-1.053224x-1.053224x1.05x1.000000x1.000000x15.499%15.5%14.716%14.7%-1.053224x-1.053224x1.05x1.000000x1.000000x15.499%15.5%14.716%14.7%1
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 1 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#25

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 Nome Census Area, selected county subdivisions in Nome Census Area, and entities that contain Nome Census Area
Female
Male
1x0x1x2x3xFM#NomeNomeUnited StatesWestPacificAlaskaBering Strait-1.000000x-1.000000x3.145380x3.145380x3.15x0.403%0.40%1.266%1.27%-1.000000x-1.000000x3.145380x3.145380x3.15x0.403%0.40%1.266%1.27%1-1.000000x-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-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.233407x1.233407x1.23x2.568%2.57%3.167%3.17%-1.000000x-1.000000x1.056047x1.056047x1.06x0.279%0.28%0.295%0.29%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 1 by male-to-female sex ratio

Educational Attainment by County in Alaska

There are 29 counties in Alaska. This section compares Nome Census Area to all of the counties in Alaska and to those entities that contain or substantially overlap with Nome Census Area.

No H.S. Diploma by County#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Nome Census Area, selected other counties in Alaska, and entities that contain Nome Census Area
0%5%10%15%20%Count#Kusilvak Census AreaKusilvakNorthwest Arctic BoroughNorthwest ArcticBering Strait School DistrictBering StraitBethel Census AreaBethelYukon-Koyukuk Census AreaYukon-KoyukukPacificAleutians East BoroughAleutians EastNome Census AreaNomeWestLake and Peninsula BoroughLake and PeninsulaDillingham Census AreaDillinghamUnited States of AmericaUnited StatesAleutians West Census AreaAleutians WestWrangell City and BoroughWrangellNorth Slope BoroughNorth SlopePrince of Wales-Hyder Census AreaPrince of Wales-H…Hoonah-Angoon Census AreaHoonah-AngoonKodiak Island BoroughKodiak IslandSoutheast Fairbanks Census AreaSoutheast FairbanksKetchikan Gateway BoroughKetchikan GatewayAlaskaPetersburg BoroughPetersburgMatanuska-Susitna BoroughMatanuska-SusitnaBristol Bay BoroughBristol BaySitka City and BoroughSitkaKenai Peninsula BoroughKenai PeninsulaValdez-Cordova Census AreaValdez-CordovaAnchorage MunicipalityAnchorageFairbanks North Star BoroughFairbanks North StarYakutat City and BoroughYakutatHaines BoroughHainesJuneau City and BoroughJuneauDenali BoroughDenaliSkagway MunicipalitySkagway21.574344%21.574344%21.6%814120.880752%20.880752%20.9%844220.818676%20.818676%20.8%65119.099232%19.099232%19.1%1,815317.113810%17.113810%17.1%606415.692232%15.692232%15.7%5,422,9325.42M15.638507%15.638507%15.6%398515.075842%15.075842%15.1%815614.435746%14.435746%14.4%7,178,2187.18M13.652695%13.652695%13.7%114713.208215%13.208215%13.2%373813.020590%13.020590%13.0%27,818,38027.8M12.521069%12.521069%12.5%520911.884550%11.884550%11.9%2101011.633428%11.633428%11.6%735119.479769%9.479769%9.5%410129.436352%9.436352%9.4%149139.335408%9.335408%9.3%840149.254727%9.254727%9.3%416157.965634%7.965634%8.0%751167.654998%7.654998%7.7%36,03236.0k7.612293%7.612293%7.6%161177.597680%7.597680%7.6%4,768187.395994%7.395994%7.4%48197.353875%7.353875%7.4%463207.268956%7.268956%7.3%2,874217.214685%7.214685%7.2%452226.714691%6.714691%6.7%12,85412.9k235.607553%5.607553%5.6%3,433245.543237%5.543237%5.5%25254.547916%4.547916%4.5%84264.374551%4.374551%4.4%975273.792415%3.792415%3.8%57283.469641%3.469641%3.5%2829
Count number of people in category
# rank of county out of 29 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Nome Census Area, selected other counties in Alaska, and entities that contain Nome Census Area
0%10%20%30%40%Count#Haines BoroughHainesJuneau City and BoroughJuneauDenali BoroughDenaliAnchorage MunicipalityAnchorageSkagway MunicipalitySkagwayFairbanks North Star BoroughFairbanks North StarSitka City and BoroughSitkaPacificWestUnited States of AmericaUnited StatesValdez-Cordova Census AreaValdez-CordovaAlaskaPetersburg BoroughPetersburgKodiak Island BoroughKodiak IslandHoonah-Angoon Census AreaHoonah-AngoonKetchikan Gateway BoroughKetchikan GatewayKenai Peninsula BoroughKenai PeninsulaMatanuska-Susitna BoroughMatanuska-SusitnaWrangell City and BoroughWrangellYakutat City and BoroughYakutatSoutheast Fairbanks Census AreaSoutheast FairbanksBristol Bay BoroughBristol BayDillingham Census AreaDillinghamPrince of Wales-Hyder Census AreaPrince of Wales-H…Aleutians West Census AreaAleutians WestNorth Slope BoroughNorth SlopeNome Census AreaNomeLake and Peninsula BoroughLake and PeninsulaYukon-Koyukuk Census AreaYukon-KoyukukAleutians East BoroughAleutians EastBethel Census AreaBethelNorthwest Arctic BoroughNorthwest ArcticBering Strait School DistrictBering StraitKusilvak Census AreaKusilvak40.443963%40.443963%40.4%747139.433776%39.433776%39.4%8,789238.522954%38.522954%38.5%579334.297998%34.297998%34.3%65,65765.7k433.705081%33.705081%33.7%272533.372536%33.372536%33.4%20,43120.4k632.353875%32.353875%32.4%2,037732.107540%32.107540%32.1%11,095,74511.1M31.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M30.087789%30.087789%30.1%1,885828.792286%28.792286%28.8%135,525136k25.011820%25.011820%25.0%529924.849967%24.849967%24.8%2,2361024.255858%24.255858%24.3%3831123.769622%23.769622%23.8%2,2411223.681016%23.681016%23.7%9,3631320.587673%20.587673%20.6%12,92012.9k1420.260328%20.260328%20.3%3581519.733925%19.733925%19.7%891619.199110%19.199110%19.2%8631719.106317%19.106317%19.1%1241817.563739%17.563739%17.6%4961915.791908%15.791908%15.8%6832015.699494%15.699494%15.7%6522114.181703%14.181703%14.2%8962213.910470%13.910470%13.9%7522312.455090%12.455090%12.5%1042412.256425%12.256425%12.3%4342511.944990%11.944990%11.9%3042611.417447%11.417447%11.4%1,0852710.761999%10.761999%10.8%435287.003518%7.003518%7.0%2194.797244%4.797244%4.8%18129
Count number of people in category
# rank of county out of 29 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#28

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Nome Census Area, selected other counties in Alaska, and entities that contain Nome Census Area
0%1%2%3%4%Count#Haines BoroughHainesSitka City and BoroughSitkaJuneau City and BoroughJuneauPacificAnchorage MunicipalityAnchorageWestFairbanks North Star BoroughFairbanks North StarUnited States of AmericaUnited StatesAlaskaKetchikan Gateway BoroughKetchikan GatewayHoonah-Angoon Census AreaHoonah-AngoonDenali BoroughDenaliDillingham Census AreaDillinghamKenai Peninsula BoroughKenai PeninsulaMatanuska-Susitna BoroughMatanuska-SusitnaPrince of Wales-Hyder Census AreaPrince of Wales-H…Bethel Census AreaBethelSoutheast Fairbanks Census AreaSoutheast FairbanksNorthwest Arctic BoroughNorthwest ArcticSkagway MunicipalitySkagwayKodiak Island BoroughKodiak IslandValdez-Cordova Census AreaValdez-CordovaNome Census AreaNomePetersburg BoroughPetersburgNorth Slope BoroughNorth SlopeAleutians West Census AreaAleutians WestWrangell City and BoroughWrangellYakutat City and BoroughYakutatAleutians East BoroughAleutians EastYukon-Koyukuk Census AreaYukon-KoyukukBering Strait School DistrictBering StraitKusilvak Census AreaKusilvakLake and Peninsula BoroughLake and PeninsulaBristol Bay BoroughBristol Bay4.926909%4.926909%4.9%9114.542567%4.542567%4.5%28624.002154%4.002154%4.0%89233.803905%3.803905%3.8%1,314,5561.31M3.790400%3.790400%3.8%7,25643.594387%3.594387%3.6%1,787,3201.79M3.560870%3.560870%3.6%2,18053.336158%3.336158%3.3%7,127,6737.13M2.878910%2.878910%2.9%13,55113.6k2.842597%2.842597%2.8%26862.216593%2.216593%2.2%3572.062542%2.062542%2.1%3181.983003%1.983003%2.0%5691.858971%1.858971%1.9%735101.775129%1.775129%1.8%1,114111.687861%1.687861%1.7%73121.304851%1.304851%1.3%124131.223582%1.223582%1.2%55141.014349%1.014349%1.0%41150.991326%0.991326%1.0%8160.922427%0.922427%0.9%83170.909816%0.909816%0.9%57180.869404%0.869404%0.9%47190.661939%0.661939%0.7%14200.648940%0.648940%0.6%41210.626053%0.626053%0.6%26220.509338%0.509338%0.5%9230.443459%0.443459%0.4%2240.432220%0.432220%0.4%11250.367128%0.367128%0.4%13260.287816%0.287816%0.3%90.079512%0.079512%0.1%3270.000000%0.000000%0.0%0280.000000%0.000000%0.0%029
Count number of people in category
# rank of county out of 29 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#29

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 Nome Census Area, selected other counties in Alaska, and entities that contain Nome Census Area
Female
Male
1x0x1x2xFM#HainesWrangellKetchikan GatewayAleutians EastPetersburgYakutatKodiak IslandJuneauSitkaMatanuska-SusitnaSoutheast FairbanksUnited StatesSkagwayBethelPrince of Wales-HyderPrince of Wales-H…WestPacificYukon-KoyukukAlaskaNorthwest ArcticAnchorageBering StraitNomeValdez-CordovaFairbanks North StarLake and PeninsulaBristol BayDillinghamKenai PeninsulaAleutians WestKusilvakNorth SlopeHoonah-AngoonDenali-1.000000x-1.000000x2.094527x2.094527x2.09x2.850%2.85%5.970%5.97%1-1.000000x-1.000000x1.892951x1.892951x1.89x8.200%8.20%15.523%15.5%2-1.000000x-1.000000x1.536647x1.536647x1.54x6.243%6.24%9.594%9.59%3-1.000000x-1.000000x1.486328x1.486328x1.49x11.833%11.8%17.588%17.6%4-1.000000x-1.000000x1.349028x1.349028x1.35x6.426%6.43%8.668%8.67%5-1.000000x-1.000000x1.317889x1.317889x1.32x4.688%4.69%6.178%6.18%6-1.000000x-1.000000x1.309365x1.309365x1.31x8.020%8.02%10.501%10.5%7-1.000000x-1.000000x1.285706x1.285706x1.29x3.820%3.82%4.912%4.91%8-1.000000x-1.000000x1.217813x1.217813x1.22x6.624%6.62%8.067%8.07%9-1.000000x-1.000000x1.118710x1.118710x1.12x7.156%7.16%8.006%8.01%10-1.000000x-1.000000x1.113771x1.113771x1.11x8.693%8.69%9.682%9.68%11-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.084644x1.084644x1.08x3.315%3.31%3.596%3.60%12-1.000000x-1.000000x1.075236x1.075236x1.08x18.373%18.4%19.756%19.8%13-1.000000x-1.000000x1.073506x1.073506x1.07x9.114%9.11%9.784%9.78%14-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.042876x1.042876x1.04x16.719%16.7%17.436%17.4%15-1.000000x-1.000000x1.010366x1.010366x1.01x7.614%7.61%7.693%7.69%-1.027584x-1.027584x1.03x1.000000x1.000000x21.195%21.2%20.626%20.6%16-1.048457x-1.048457x1.05x1.000000x1.000000x6.874%6.87%6.556%6.56%17-1.049854x-1.049854x1.05x1.000000x1.000000x21.369%21.4%20.354%20.4%-1.053224x-1.053224x1.05x1.000000x1.000000x15.499%15.5%14.716%14.7%18-1.079214x-1.079214x1.08x1.000000x1.000000x7.499%7.50%6.949%6.95%19-1.114187x-1.114187x1.11x1.000000x1.000000x5.928%5.93%5.321%5.32%20-1.119289x-1.119289x1.12x1.000000x1.000000x14.467%14.5%12.925%12.9%21-1.143534x-1.143534x1.14x1.000000x1.000000x7.971%7.97%6.971%6.97%22-1.144220x-1.144220x1.14x1.000000x1.000000x14.138%14.1%12.356%12.4%23-1.181236x-1.181236x1.18x1.000000x1.000000x7.900%7.90%6.688%6.69%24-1.338651x-1.338651x1.34x1.000000x1.000000x15.000%15.0%11.205%11.2%25-1.363580x-1.363580x1.36x1.000000x1.000000x25.217%25.2%18.493%18.5%26-1.415636x-1.415636x1.42x1.000000x1.000000x14.508%14.5%10.249%10.2%27-1.733951x-1.733951x1.73x1.000000x1.000000x12.225%12.2%7.051%7.05%28-1.753338x-1.753338x1.75x1.000000x1.000000x4.895%4.90%2.792%2.79%29
F percentage of females in category
M percentage of males in category
# rank of county out of 29 by male-to-female sex ratio

Over-Education Sex Ratio by County#30

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 Nome Census Area, selected other counties in Alaska, and entities that contain Nome Census Area
Female
Male
10x5x0x5x10xFM#Aleutians EastYakutatYukon-KoyukukSkagwayPetersburgValdez-CordovaNomeHainesKodiak IslandJuneauPrince of Wales-HyderPrince of Wales-H…United StatesKenai PeninsulaKetchikan GatewayWestSitkaDenaliPacificDillinghamAnchorageWrangellAlaskaNorthwest ArcticBering StraitBethelMatanuska-SusitnaFairbanks North StarSoutheast FairbanksAleutians WestNorth SlopeHoonah-AngoonKusilvak-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.654%0.65%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.772%0.77%2-1.000000x-1.000000x9.790769x9.790769x9.79x0.063%0.06%0.615%0.62%3-1.000000x-1.000000x5.694382x5.694382x5.69x0.276%0.28%1.573%1.57%4-1.000000x-1.000000x5.340483x5.340483x5.34x0.201%0.20%1.072%1.07%5-1.000000x-1.000000x3.164061x3.164061x3.16x0.429%0.43%1.359%1.36%6-1.000000x-1.000000x3.145380x3.145380x3.15x0.403%0.40%1.266%1.27%7-1.000000x-1.000000x2.627680x2.627680x2.63x2.613%2.61%6.866%6.87%8-1.000000x-1.000000x2.456575x2.456575x2.46x0.520%0.52%1.279%1.28%9-1.000000x-1.000000x2.095857x2.095857x2.10x2.571%2.57%5.389%5.39%10-1.000000x-1.000000x1.928382x1.928382x1.93x1.120%1.12%2.160%2.16%11-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.495562x1.495562x1.50x1.478%1.48%2.210%2.21%12-1.000000x-1.000000x1.490383x1.490383x1.49x2.270%2.27%3.384%3.38%13-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.472781x1.472781x1.47x3.666%3.67%5.399%5.40%14-1.000000x-1.000000x1.436654x1.436654x1.44x1.678%1.68%2.411%2.41%15-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.417454x1.417454x1.42x1.628%1.63%2.308%2.31%16-1.000000x-1.000000x1.276647x1.276647x1.28x3.329%3.33%4.249%4.25%17-1.000000x-1.000000x1.234533x1.234533x1.23x0.456%0.46%0.562%0.56%18-1.000000x-1.000000x1.233407x1.233407x1.23x2.568%2.57%3.167%3.17%-1.000000x-1.000000x1.141413x1.141413x1.14x0.941%0.94%1.074%1.07%19-1.000000x-1.000000x1.056047x1.056047x1.06x0.279%0.28%0.295%0.29%-1.000000x-1.000000x1.028721x1.028721x1.03x1.285%1.29%1.322%1.32%20-1.000000x-1.000000x1.022889x1.022889x1.02x1.754%1.75%1.794%1.79%21-1.000000x-1.000000x1.014678x1.014678x1.01x3.533%3.53%3.585%3.59%22-1.574691x-1.574691x1.57x1.000000x1.000000x1.543%1.54%0.980%0.98%23-1.884028x-1.884028x1.88x1.000000x1.000000x0.903%0.90%0.479%0.48%24-3.243671x-3.243671x3.24x1.000000x1.000000x1.217%1.22%0.375%0.38%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.396%4.40%0.353%0.35%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.174%0.17%0.000%0%27
F percentage of females in category
M percentage of males in category
# rank of county out of 27 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Nome Census Area to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Nome Census Area. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#31

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Nome Census Area, selected other counties in the United States, and entities that contain Nome Census Area
0%5%10%15%20%25%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoBering Strait School DistrictBering StraitKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarPacificOrange CountyOrangeClark CountyClarkNome Census AreaNomeWayne CountyWayneTarrant CountyTarrantWestCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaMecklenburg CountyMecklenburgSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeAlaskaKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.818676%20.818676%20.8%65120.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.692232%15.692232%15.7%5,422,9325.42M15.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1415.075842%15.075842%15.1%81514.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.435746%14.435746%14.4%7,178,2187.18M14.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.377895%10.377895%10.4%69,51069.5k3410.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.654998%7.654998%7.7%36,03236.0k7.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county 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#32

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Nome Census Area, selected other counties in the United States, and entities that contain Nome Census Area
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakePacificOrange CountyOrangeWestHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoAlaskaMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronxNome Census AreaNomeBering Strait School DistrictBering Strait60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2832.107540%32.107540%32.1%11,095,74511.1M31.922850%31.922850%31.9%263,443263k2931.501368%31.501368%31.5%15,664,15015.7M31.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.792286%28.792286%28.8%135,525136k27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k5013.910470%13.910470%13.9%7527.003518%7.003518%7.0%219
Count number of people in category
# rank of county 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#33

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Nome Census Area, selected other counties in the United States, and entities that contain Nome Census Area
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkPacificMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgWestBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeAlaskaBexar CountyBexarQueens CountyQueensFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronxNome Census AreaNomeBering Strait School DistrictBering Strait12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.803905%3.803905%3.8%1,314,5561.31M3.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.594387%3.594387%3.6%1,787,3201.79M3.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.878910%2.878910%2.9%13,55113.6k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k500.869404%0.869404%0.9%470.287816%0.287816%0.3%9
Count number of people in category
# rank of county 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#34

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 Nome Census Area, selected other counties in the United States, and entities that contain Nome Census Area
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoWestMontgomeryPacificBronxMiddlesexKingsFairfaxAlaskaBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkBering StraitNomeSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.010366x1.010366x1.01x7.614%7.61%7.693%7.69%-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.049854x-1.049854x1.05x1.000000x1.000000x21.369%21.4%20.354%20.4%-1.053224x-1.053224x1.05x1.000000x1.000000x15.499%15.5%14.716%14.7%-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#35

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 Nome Census Area, selected other counties in the United States, and entities that contain Nome Census Area
Female
Male
1x0x1x2x3xFM#NomePalm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoWestOrangeFresnoHillsboroughHarrisPacificMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkAlaskaBronxBering Strait-1.000000x-1.000000x3.145380x3.145380x3.15x0.403%0.40%1.266%1.27%-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.233407x1.233407x1.23x2.568%2.57%3.167%3.17%-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50-1.000000x-1.000000x1.056047x1.056047x1.06x0.279%0.28%0.295%0.29%
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Census Subareas:
Nome
Cities:
Brevig Mission, Diomede, Elim, Gambell, Golovin, Koyuk, Nome, Savoonga, Shaktoolik, Shishmaref, St. Michael, Stebbins, Teller, Unalakleet, Wales, White Mountain
Unincorporated Places:
Port Clarence
ZIP Codes:
99659, 99671, 99684, 99739, 99742, 99753, 99762, 99769, 99771, 99772, 99778, 99783, 99784, 99785
Unified School Districts:
Bering Strait, Nome
Congressional District:
AK-At Large
State Senate District:
AK-T
State House District:
AK-39
Neighboring Boroughs:
Northwest Arctic
Neighboring Census Areas:
Kusilvak, Yukon-Koyukuk