Educational Attainment in Dayton, Columbia County, Washington (Census County Division)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Columbia County and Dayton
Dayton
Columbia County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma237.989031%38.188577%37.989031%38.0%1,03951.590494%51.740453%51.590494%51.6%1,41110.420475%10.070970%10.420475%10.4%285
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 Columbia County at large.
Scope: population of Columbia County and Dayton
-2%0%+2%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-0.522528%-0.522528%-0.5%37.989%38.0%38.189%38.2%-0.289830%-0.289830%-0.3%51.590%51.6%51.740%51.7%3.470424%3.470424%+3.5%10.420%10.4%10.071%10.1%
% percentage with given level in Dayton
ref. percentage with given level in Columbia 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 Columbia County and Dayton
Dayton
Columbia County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.316271%1.216627%1.316271%1.3%360.804388%0.743494%0.804388%0.8%225.557587%5.610003%5.557587%5.6%15216.928702%17.843866%16.928702%16.9%46313.382084%12.774586%13.382084%13.4%36625.191956%25.819534%25.191956%25.2%68926.398537%25.920919%26.398537%26.4%7227.239488%6.826631%7.239488%7.2%1982.925046%3.007773%2.925046%2.9%800.255941%0.236566%0.255941%0.3%7
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 Columbia County at large.
Scope: population of Columbia County and Dayton
-5%0%+5%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None8.190128%8.190128%+8.2%1.316%1.32%1.217%1.22%8.190128%8.190128%+8.2%0.804%0.80%0.743%0.74%-0.934341%-0.934341%-0.9%5.558%5.56%5.610%5.61%-5.128732%-5.128732%-5.1%16.929%16.9%17.844%17.8%4.755521%4.755521%+4.8%13.382%13.4%12.775%12.8%-2.430631%-2.430631%-2.4%25.192%25.2%25.820%25.8%1.842598%1.842598%+1.8%26.399%26.4%25.921%25.9%6.047749%6.047749%+6.0%7.239%7.24%6.827%6.83%-2.750447%-2.750447%-2.8%2.925%2.93%3.008%3.01%8.190128%8.190128%+8.2%0.256%0.26%0.237%0.24%
% percentage with given level in Dayton
ref. percentage with given level in Columbia 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 Columbia County and Dayton
More Females More Males
Columbia County
Dayton
0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-13.874678%-10.976948%-13.874678%14%40.368%40.4%35.450%35.4%-3.038686%-3.652732%-3.038686%3%52.337%52.3%50.794%50.8%88.585812%80.694057%88.585812%89%7.295%7.29%13.757%13.8%
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 Columbia County and Dayton
More Females More Males
Columbia County
Dayton
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None6.727135%4.209800%6.727135%7%1.275%1.27%1.361%1.36%262.872260%254.313320%262.872260%263%0.354%0.35%1.285%1.28%-6.893628%-28.397538%-6.893628%7%5.737%5.74%5.367%5.37%15.861440%24.100467%15.861440%16%15.722%15.7%18.216%18.2%-87.393768%-80.932713%-87.393768%87%17.280%17.3%9.221%9.22%-9.953441%-10.557038%-9.953441%10%26.346%26.3%23.961%24.0%3.237420%2.859932%3.237420%3%25.992%26.0%26.833%26.8%95.158190%80.254789%95.158190%95%4.958%4.96%9.675%9.67%121.664050%127.028493%121.664050%122%1.841%1.84%4.082%4.08%-1,000.000000%-1,000.000000%-1,000.000000%> 1000%0.496%0.50%0.000%0%
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 Columbia County and Dayton
Dayton
Columbia County
0%5%10%15%B.X.Total65+45-6435-4425-3415.816857%16.777251%15.816857%15.8%15296118.123275%18.974359%18.123275%18.1%1971,08715.183246%16.786571%15.183246%15.2%5838218.360656%18.611987%18.360656%18.4%56305
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 Columbia County at large.
Scope: population of Columbia County and Dayton
8%6%4%2%0%%ref.65+45-6435-4425-34-5.724381%-5.724381%5.7%15.817%15.8%16.777%16.8%-4.485442%-4.485442%4.5%18.123%18.1%18.974%19.0%-9.551234%-9.551234%9.6%15.183%15.2%16.787%16.8%-1.350375%-1.350375%1.4%18.361%18.4%18.612%18.6%
% percentage in Dayton with a Bachelor's degree
ref percentage in Columbia 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 Columbia County and Dayton
More Females More Males
Columbia County
Dayton
50%0%50%100%150%FM65+45-6435-4425-3419.510439%50.610148%19.510439%19.5%14.458%14.5%17.279%17.3%20.807441%7.718894%20.807441%20.8%16.491%16.5%19.923%19.9%97.876106%154.878049%97.876106%97.9%9.615%9.62%19.027%19.0%-70.106383%-62.981213%-70.106383%70.1%21.809%21.8%12.821%12.8%
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 Columbia County and Dayton
Dayton
Columbia County
$0k$10k$20k$30k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$26,382.000000$26,250.000000$26,382.000000$26.4k2107.678%7.68%$42,583.000000$43,000.000000$42,583.000000$42.6k46316.929%16.9%$28,721.000000$29,016.000000$28,721.000000$28.7k1,05538.574%38.6%$28,795.000000$27,991.000000$28,795.000000$28.8k72226.399%26.4%$29,474.000000$29,574.000000$29,474.000000$29.5k2,735100.000%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 Columbia County and Dayton
Female Male
Columbia County
Dayton
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-22,159.000000$-27,596.000000$-22,159.000000$22.2k$22,159.000000$30,149.000000$27,596.000000$30,708.000000$52,308.000000$52.3k222241$-20,964.000000$-20,964.000000$-20,964.000000$21.0k$20,964.000000$11,286.000000$20,964.000000$12,053.000000$32,250.000000$32.3k616439$-24,063.000000$-21,944.000000$-24,063.000000$24.1k$24,063.000000$11,937.000000$21,944.000000$13,494.000000$36,000.000000$36.0k367355$-22,386.000000$-22,364.000000$-22,386.000000$22.4k$22,386.000000$13,046.000000$22,364.000000$13,454.000000$35,432.000000$35.4k1,4121,323
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 Columbia County and Dayton
Dayton
Columbia County
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma376.043956%76.817289%76.043956%76.0%34666.537468%66.304348%66.537468%66.5%51565.594059%65.962441%65.594059%65.6%26547.517730%47.517730%47.517730%47.5%67
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 Columbia County and Dayton
Female Male
Columbia County
Dayton
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-5.564263%-5.624543%-5.564263%5.6%5.564263%6.170858%5.624543%5.596831%11.735122%11.7%14071-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-38.571429%-37.500000%-38.571429%38.6%38.571429%15.274725%37.500000%11.911765%53.846154%53.8%4227-29.069767%-28.089888%-29.069767%29.1%29.069767%11.627907%28.089888%11.682840%40.697674%40.7%3525
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 Columbia County and Dayton
Female Male
Columbia County
Dayton
Shaded bar tips show excess over facing bar.
60%40%20%0%20%MFWhite1BlackAsianHispanic2Other1-24.608150%-25.200877%-24.608150%24.6%24.608150%2.717918%25.200877%3.196070%27.326069%27.3%326314-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-33.333333%-28.205128%-33.333333%-28.205128%-61.538462%61.5%33.333333%33.333333%33.333333%33.3%58-0.000000%-2.777778%0.000000%0.0%0.000000%11.538462%2.777778%7.810458%11.538462%11.5%90-4.651163%-4.494382%-4.651163%4.7%4.651163%13.953488%4.494382%13.687436%18.604651%18.6%164
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Walla Walla Area

There are 7 county subdivisions in the Walla Walla Area. This section compares Dayton to all of the county subdivisions in the Walla Walla Area and to those entities that contain or substantially overlap with Dayton.

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 Dayton, selected other county subdivisions in the Walla Walla Area, and entities that contain Dayton
0%10%20%Count#Eureka FlatPacificWestUnited States of AmericaUnited StatesBurbankWalla Walla Metro AreaWalla WallaWalla Walla-College PlaceWalla Walla-Colle…DaytonTouchetColumbia CountyColumbia960200Tract 960200WashingtonWaitsburgStarbuck29.166667%29.166667%29.2%189115.692232%15.692232%15.7%5,422,9325.42M14.435746%14.435746%14.4%7,178,2187.18M13.020590%13.020590%13.0%27,818,38027.8M12.774144%12.774144%12.8%332211.287289%11.287289%11.3%4,74111.149697%11.149697%11.1%3,628310.420475%10.420475%10.4%285410.304450%10.304450%10.3%132510.070970%10.070970%10.1%29810.070970%10.070970%10.1%2989.418712%9.418712%9.4%452,496452k8.194234%8.194234%8.2%16265.803571%5.803571%5.8%137
Count number of people in category
# rank of county subdivision out of 7 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 Dayton, selected other county subdivisions in the Walla Walla Area, and entities that contain Dayton
0%10%20%30%Count#TouchetStarbuckWashingtonPacificWestUnited States of AmericaUnited StatesWalla Walla-College PlaceWalla Walla-Colle…Walla Walla Metro AreaWalla WallaWaitsburgColumbia CountyColumbia960200Tract 960200DaytonBurbankEureka Flat38.797814%38.797814%38.8%497135.267857%35.267857%35.3%79233.557116%33.557116%33.6%1,612,1591.61M32.107540%32.107540%32.1%11,095,74511.1M31.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M29.426227%29.426227%29.4%9,575328.355117%28.355117%28.4%11,91011.9k27.212949%27.212949%27.2%538425.413991%25.413991%25.4%75225.413991%25.413991%25.4%75224.606947%24.606947%24.6%673519.161216%19.161216%19.2%49867.716049%7.716049%7.7%507
Count number of people in category
# rank of county subdivision out of 7 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 Dayton, selected other county subdivisions in the Walla Walla Area, and entities that contain Dayton
0%1%2%3%4%5%Count#TouchetPacificWestWashingtonUnited States of AmericaUnited StatesWalla Walla-College PlaceWalla Walla-Colle…Walla Walla Metro AreaWalla WallaWaitsburgDaytonColumbia CountyColumbia960200Tract 960200BurbankEureka FlatStarbuck5.464481%5.464481%5.5%7013.803905%3.803905%3.8%1,314,5561.31M3.594387%3.594387%3.6%1,787,3201.79M3.560013%3.560013%3.6%171,031171k3.336158%3.336158%3.3%7,127,6737.13M3.140846%3.140846%3.1%1,02222.923601%2.923601%2.9%1,2282.832575%2.832575%2.8%5632.120658%2.120658%2.1%5841.960122%1.960122%2.0%581.960122%1.960122%2.0%580.769527%0.769527%0.8%2050.308642%0.308642%0.3%260.000000%0.000000%0.0%07
Count number of people in category
# rank of county subdivision out of 7 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 Dayton, selected other county subdivisions in the Walla Walla Area, and entities that contain Dayton
Female
Male
1x0x1xFM#BurbankDaytonColumbiaTract 960200WaitsburgWalla WallaWalla Walla-College PlWalla Walla-Colle…TouchetWashingtonUnited StatesWestPacificStarbuckEureka Flat-1.000000x-1.000000x1.894504x1.894504x1.89x8.777%8.78%16.629%16.6%1-1.000000x-1.000000x1.885858x1.885858x1.89x7.295%7.29%13.757%13.8%2-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.365669x1.365669x1.37x6.935%6.93%9.470%9.47%3-1.000000x-1.000000x1.315154x1.315154x1.32x9.726%9.73%12.791%12.8%-1.000000x-1.000000x1.283517x1.283517x1.28x9.734%9.73%12.493%12.5%4-1.000000x-1.000000x1.173056x1.173056x1.17x9.487%9.49%11.129%11.1%5-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-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%-1.102041x-1.102041x1.10x1.000000x1.000000x6.122%6.12%5.556%5.56%6-1.297141x-1.297141x1.30x1.000000x1.000000x32.743%32.7%25.243%25.2%7
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 7 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 Dayton, selected other county subdivisions in the Walla Walla Area, and entities that contain Dayton
Female
Male
0x5x10xFM#Eureka FlatTouchetWalla WallaWalla Walla-College PlWalla Walla-Colle…DaytonColumbiaTract 960200United StatesWashingtonWestWaitsburgPacificBurbank-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.647%0.65%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.467%0.47%10.502%10.5%2-1.000000x-1.000000x2.053618x2.053618x2.05x1.902%1.90%3.907%3.91%-1.000000x-1.000000x1.971889x1.971889x1.97x2.096%2.10%4.132%4.13%3-1.000000x-1.000000x1.624109x1.624109x1.62x1.629%1.63%2.646%2.65%4-1.000000x-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-1.000000x-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.453777x1.453777x1.45x2.312%2.31%3.360%3.36%5-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.267241x-1.267241x1.27x1.000000x1.000000x0.862%0.86%0.680%0.68%6
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 6 by male-to-female sex ratio

Educational Attainment by County Subdivision in Washington

There are 242 county subdivisions in Washington. This section compares Dayton to the 50 most populous county subdivisions in Washington and to those entities that contain or substantially overlap with Dayton. The least populous of the compared county subdivisions has a population of 27,518.

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 Dayton, selected other county subdivisions in Washington, and entities that contain Dayton
0%10%20%30%40%Count#Toppenish-WapatoSunnysidePascoYakimaMount VernonWenatcheeEast WenatcheeE WenatcheeMoses LakePacificCentralia-ChehalisWestLongview-KelsoUnited States of AmericaUnited StatesAberdeen-HoquiamFederal Way-AuburnFederal Wy-AuburnWalla Walla Metro AreaWalla WallaEverettWalla Walla-College PlaceWalla Walla-Colle…TacomaMonroeFerndaleDaytonMarysvilleOrchardsColumbia CountyColumbia960200Tract 960200WashingtonVancouverRichland-KennewickSeattleEnumclaw PlateauPort AngelesPort OrchardThurston SouthThurston SArlingtonOlympia EastSpokaneGraham-ThriftSnohomishPuyallupBellinghamBattle GroundNorth Whidbey IslandN Whidbey IsEdmondsCamasStanwoodOlympiaDeer ParkTahoma-Maple ValleyTahoma-Maple VlyBremertonSnoqualmie ValleySnoqualmie VlyPoulsboSeattle EastMaltbyGig Harbor PeninsulaGig Hbr PeninsulaPullmanIssaquah PlateauFort Lewis-DuPont40.874651%40.874651%40.9%6,150139.118186%39.118186%39.1%11,52511.5k229.665520%29.665520%29.7%9,827322.648868%22.648868%22.6%20,32620.3k418.016593%18.016593%18.0%4,213517.696867%17.696867%17.7%4,598617.331567%17.331567%17.3%3,532715.816993%15.816993%15.8%3,267815.692232%15.692232%15.7%5,422,9325.42M15.549763%15.549763%15.5%3,281914.435746%14.435746%14.4%7,178,2187.18M13.522340%13.522340%13.5%5,8381013.020590%13.020590%13.0%27,818,38027.8M12.768225%12.768225%12.8%2,7551111.985242%11.985242%12.0%13,87113.9k1211.287289%11.287289%11.3%4,74111.154548%11.154548%11.2%13,63913.6k1311.149697%11.149697%11.1%3,6281411.000536%11.000536%11.0%32,63132.6k1510.907605%10.907605%10.9%2,2691610.750488%10.750488%10.8%2,3121710.420475%10.420475%10.4%28510.339873%10.339873%10.3%4,9651810.269333%10.269333%10.3%4,4421910.070970%10.070970%10.1%29810.070970%10.070970%10.1%2989.418712%9.418712%9.4%452,496452k8.974827%8.974827%9.0%14,26814.3k208.938532%8.938532%8.9%9,551218.833573%8.833573%8.8%66,22066.2k228.433407%8.433407%8.4%3,715238.307055%8.307055%8.3%1,844248.137640%8.137640%8.1%3,746257.998428%7.998428%8.0%2,239267.934842%7.934842%7.9%1,588277.415014%7.415014%7.4%1,697287.396756%7.396756%7.4%18,08118.1k297.175163%7.175163%7.2%3,855307.112922%7.112922%7.1%1,833316.703700%6.703700%6.7%7,277326.703137%6.703137%6.7%4,840336.667016%6.667016%6.7%2,547346.351464%6.351464%6.4%1,518356.286458%6.286458%6.3%11,11111.1k366.283099%6.283099%6.3%2,361376.168739%6.168739%6.2%1,523386.055092%6.055092%6.1%7,188395.997422%5.997422%6.0%1,303405.805896%5.805896%5.8%2,698415.589134%5.589134%5.6%4,189425.019038%5.019038%5.0%1,740434.987993%4.987993%5.0%1,454444.913852%4.913852%4.9%20,32620.3k454.538855%4.538855%4.5%1,563463.416040%3.416040%3.4%1,268472.984406%2.984406%3.0%400482.917621%2.917621%2.9%1,541491.968771%1.968771%2.0%26150
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 Dayton, selected other county subdivisions in Washington, and entities that contain Dayton
0%20%40%60%Count#Issaquah PlateauPullmanSeattle EastSeattleSnoqualmie ValleySnoqualmie VlyMaltbyGig Harbor PeninsulaGig Hbr PeninsulaEdmondsBellinghamOlympiaCamasPoulsboWashingtonTahoma-Maple ValleyTahoma-Maple VlyPacificFort Lewis-DuPontWestRichland-KennewickDeer ParkUnited States of AmericaUnited StatesWalla Walla-College PlaceWalla Walla-Colle…VancouverBattle GroundWalla Walla Metro AreaWalla WallaEnumclaw PlateauSpokanePuyallupWenatcheeSnohomishBremertonFerndaleColumbia CountyColumbia960200Tract 960200EverettNorth Whidbey IslandN Whidbey IsMonroeDaytonTacomaOlympia EastPort OrchardFederal Way-AuburnFederal Wy-AuburnMount VernonStanwoodPort AngelesGraham-ThriftOrchardsEast WenatcheeE WenatcheeMarysvilleYakimaArlingtonCentralia-ChehalisThurston SouthThurston SMoses LakeAberdeen-HoquiamPascoLongview-KelsoSunnysideToppenish-Wapato65.058599%65.058599%65.1%34,36234.4k164.388570%64.388570%64.4%8,630257.691220%57.691220%57.7%238,638239k349.626221%49.626221%49.6%372,018372k445.826122%45.826122%45.8%15,88715.9k545.556975%45.556975%45.6%15,68815.7k644.308845%44.308845%44.3%16,44716.4k740.744576%40.744576%40.7%72,01472.0k839.862890%39.862890%39.9%28,78328.8k938.575520%38.575520%38.6%45,79345.8k1033.879767%33.879767%33.9%12,73112.7k1133.876501%33.876501%33.9%9,8751233.557116%33.557116%33.6%1,612,1591.61M32.466107%32.466107%32.5%15,08715.1k1332.107540%32.107540%32.1%11,095,74511.1M31.998190%31.998190%32.0%4,2421431.501368%31.501368%31.5%15,664,15015.7M31.041066%31.041066%31.0%33,16833.2k1530.797202%30.797202%30.8%6,6911630.315023%30.315023%30.3%64,767,78764.8M29.426227%29.426227%29.4%9,5751729.271975%29.271975%29.3%46,53646.5k1828.379970%28.379970%28.4%10,84210.8k1928.355117%28.355117%28.4%11,91011.9k28.344419%28.344419%28.3%12,48612.5k2027.883982%27.883982%27.9%68,16168.2k2126.327474%26.327474%26.3%28,57928.6k2225.991071%25.991071%26.0%6,7532325.875049%25.875049%25.9%6,6682425.732165%25.732165%25.7%19,28619.3k2525.499861%25.499861%25.5%5,4842625.413991%25.413991%25.4%75225.413991%25.413991%25.4%75225.399720%25.399720%25.4%31,05731.1k2725.020921%25.020921%25.0%5,9802824.963946%24.963946%25.0%5,1932924.606947%24.606947%24.6%67324.260108%24.260108%24.3%71,96372.0k3023.940400%23.940400%23.9%5,4793123.222471%23.222471%23.2%10,69010.7k3222.378039%22.378039%22.4%25,89925.9k3322.151899%22.151899%22.2%5,1803421.787031%21.787031%21.8%5,3793521.551491%21.551491%21.6%4,7843620.648836%20.648836%20.6%11,09411.1k3719.637036%19.637036%19.6%8,4943819.191324%19.191324%19.2%3,9113919.107418%19.107418%19.1%9,1754018.598458%18.598458%18.6%16,69116.7k4118.273122%18.273122%18.3%3,6574217.563981%17.563981%17.6%3,7064317.168578%17.168578%17.2%4,8064417.061244%17.061244%17.1%3,5244515.155026%15.155026%15.2%3,2704614.976152%14.976152%15.0%4,9614714.851875%14.851875%14.9%6,4124810.182608%10.182608%10.2%3,000498.108467%8.108467%8.1%1,22050
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 Dayton, selected other county subdivisions in Washington, and entities that contain Dayton
0%5%10%15%Count#PullmanGig Harbor PeninsulaGig Hbr PeninsulaSeattleSeattle EastIssaquah PlateauBellinghamOlympiaPacificWestRichland-KennewickMaltbyWashingtonEdmondsWenatcheeUnited States of AmericaUnited StatesFort Lewis-DuPontDeer ParkWalla Walla-College PlaceWalla Walla-Colle…SpokanePoulsboWalla Walla Metro AreaWalla WallaVancouverCamasSnoqualmie ValleySnoqualmie VlyFerndalePort AngelesYakimaBattle GroundTacomaEnumclaw PlateauSnohomishDaytonPuyallupColumbia CountyColumbia960200Tract 960200EverettBremertonCentralia-ChehalisTahoma-Maple ValleyTahoma-Maple VlyMount VernonMonroePort OrchardEast WenatcheeE WenatcheeNorth Whidbey IslandN Whidbey IsStanwoodAberdeen-HoquiamFederal Way-AuburnFederal Wy-AuburnOlympia EastOrchardsMoses LakeLongview-KelsoGraham-ThriftMarysvillePascoArlingtonThurston SouthThurston SToppenish-WapatoSunnyside15.690517%15.690517%15.7%2,10316.832081%6.832081%6.8%2,53626.641855%6.641855%6.6%49,79049.8k36.036065%6.036065%6.0%24,96825.0k45.975349%5.975349%6.0%3,15654.667267%4.667267%4.7%3,37064.546374%4.546374%4.5%5,39773.803905%3.803905%3.8%1,314,5561.31M3.594387%3.594387%3.6%1,787,3201.79M3.590948%3.590948%3.6%3,83783.560228%3.560228%3.6%1,22693.560013%3.560013%3.6%171,031171k3.532207%3.532207%3.5%6,243103.348472%3.348472%3.3%870113.336158%3.336158%3.3%7,127,6737.13M3.228483%3.228483%3.2%428123.185124%3.185124%3.2%692133.140846%3.140846%3.1%1,022143.130766%3.130766%3.1%7,653152.994854%2.994854%3.0%873162.923601%2.923601%2.9%1,2282.846935%2.846935%2.8%4,526172.815552%2.815552%2.8%1,058182.737395%2.737395%2.7%949192.599275%2.599275%2.6%559202.590323%2.590323%2.6%575212.514931%2.514931%2.5%2,257222.421276%2.421276%2.4%925232.380061%2.380061%2.4%7,060242.251935%2.251935%2.3%992252.204113%2.204113%2.2%568262.120658%2.120658%2.1%581.976933%1.976933%2.0%2,146271.960122%1.960122%2.0%581.960122%1.960122%2.0%581.924382%1.924382%1.9%2,353281.914635%1.914635%1.9%1,435291.909953%1.909953%1.9%403301.844201%1.844201%1.8%857311.813206%1.813206%1.8%424321.793097%1.793097%1.8%373331.781331%1.781331%1.8%820341.751803%1.751803%1.8%357351.640167%1.640167%1.6%392361.591802%1.591802%1.6%393371.580387%1.580387%1.6%341381.490487%1.490487%1.5%1,725391.485624%1.485624%1.5%340401.454167%1.454167%1.5%629411.408860%1.408860%1.4%291421.352697%1.352697%1.4%584431.261935%1.261935%1.3%678441.120413%1.120413%1.1%538451.086760%1.086760%1.1%360460.999350%0.999350%1.0%200470.939521%0.939521%0.9%263480.830786%0.830786%0.8%125490.604168%0.604168%0.6%17850
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 Dayton, selected other county subdivisions in Washington, and entities that contain Dayton
Female
Male
1x0x1xFM#DaytonColumbiaTract 960200ArlingtonEnumclaw PlateauSnoqualmie VlyWenatcheeCentralia-ChehalisThurston SStanwoodBattle GroundWalla WallaCamasWalla Walla-College PlWalla Walla-Colle…MonroeYakimaSnohomishLongview-KelsoE WenatcheeVancouverMount VernonMaltbyPascoMoses LakeOrchardsPoulsboGraham-ThriftDeer ParkPullmanFederal Wy-AuburnToppenish-WapatoWashingtonMarysvilleUnited StatesSpokaneBellinghamTahoma-Maple VlyAberdeen-HoquiamPort AngelesTacomaWestEdmondsPacificSunnysideIssaquah PlateauOlympiaRichland-KennewickFerndalePuyallupEverettSeattleSeattle EastPort OrchardGig Hbr PeninsulaBremertonN Whidbey IsOlympia EastFort Lewis-DuPont-1.000000x-1.000000x1.885858x1.885858x1.89x7.295%7.29%13.757%13.8%-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.781084x1.781084x1.78x5.776%5.78%10.288%10.3%1-1.000000x-1.000000x1.545532x1.545532x1.55x6.637%6.64%10.258%10.3%2-1.000000x-1.000000x1.489936x1.489936x1.49x4.040%4.04%6.020%6.02%3-1.000000x-1.000000x1.370116x1.370116x1.37x15.008%15.0%20.563%20.6%4-1.000000x-1.000000x1.349266x1.349266x1.35x13.281%13.3%17.920%17.9%5-1.000000x-1.000000x1.347041x1.347041x1.35x6.856%6.86%9.236%9.24%6-1.000000x-1.000000x1.329659x1.329659x1.33x5.275%5.27%7.014%7.01%7-1.000000x-1.000000x1.320079x1.320079x1.32x5.761%5.76%7.605%7.61%8-1.000000x-1.000000x1.315154x1.315154x1.32x9.726%9.73%12.791%12.8%-1.000000x-1.000000x1.303492x1.303492x1.30x5.480%5.48%7.143%7.14%9-1.000000x-1.000000x1.283517x1.283517x1.28x9.734%9.73%12.493%12.5%10-1.000000x-1.000000x1.281259x1.281259x1.28x9.412%9.41%12.060%12.1%11-1.000000x-1.000000x1.275704x1.275704x1.28x19.989%20.0%25.500%25.5%12-1.000000x-1.000000x1.262425x1.262425x1.26x6.301%6.30%7.955%7.96%13-1.000000x-1.000000x1.251408x1.251408x1.25x12.060%12.1%15.092%15.1%14-1.000000x-1.000000x1.249402x1.249402x1.25x15.446%15.4%19.298%19.3%15-1.000000x-1.000000x1.234222x1.234222x1.23x8.059%8.06%9.947%9.95%16-1.000000x-1.000000x1.227625x1.227625x1.23x16.238%16.2%19.934%19.9%17-1.000000x-1.000000x1.175751x1.175751x1.18x4.179%4.18%4.913%4.91%18-1.000000x-1.000000x1.163104x1.163104x1.16x27.399%27.4%31.867%31.9%19-1.000000x-1.000000x1.162197x1.162197x1.16x14.679%14.7%17.060%17.1%20-1.000000x-1.000000x1.161885x1.161885x1.16x9.536%9.54%11.079%11.1%21-1.000000x-1.000000x1.157769x1.157769x1.16x4.626%4.63%5.356%5.36%22-1.000000x-1.000000x1.155726x1.155726x1.16x6.670%6.67%7.708%7.71%23-1.000000x-1.000000x1.154823x1.154823x1.15x5.584%5.58%6.449%6.45%24-1.000000x-1.000000x1.140066x1.140066x1.14x2.785%2.78%3.175%3.17%25-1.000000x-1.000000x1.122783x1.122783x1.12x11.316%11.3%12.706%12.7%26-1.000000x-1.000000x1.115163x1.115163x1.12x38.665%38.7%43.117%43.1%27-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-1.000000x-1.000000x1.109656x1.109656x1.11x9.816%9.82%10.893%10.9%28-1.000000x-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%29-1.000000x-1.000000x1.084076x1.084076x1.08x6.436%6.44%6.977%6.98%30-1.000000x-1.000000x1.078023x1.078023x1.08x5.593%5.59%6.029%6.03%31-1.000000x-1.000000x1.073306x1.073306x1.07x12.327%12.3%13.230%13.2%32-1.000000x-1.000000x1.071170x1.071170x1.07x8.027%8.03%8.598%8.60%33-1.000000x-1.000000x1.069526x1.069526x1.07x10.642%10.6%11.382%11.4%34-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.000000x-1.000000x1.047689x1.047689x1.05x6.146%6.15%6.439%6.44%35-1.000000x-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-1.000000x-1.000000x1.014472x1.014472x1.01x38.834%38.8%39.396%39.4%36-1.000000x-1.000000x1.005405x1.005405x1.01x2.910%2.91%2.926%2.93%37-1.000000x-1.000000x1.003616x1.003616x1.00x6.045%6.04%6.067%6.07%38-1.000000x-1.000000x1.000039x1.000039x1.00x8.938%8.94%8.939%8.94%39-1.000681x-1.000681x1.00x1.000000x1.000000x10.754%10.8%10.747%10.7%40-1.035336x-1.035336x1.04x1.000000x1.000000x6.818%6.82%6.585%6.59%41-1.048597x-1.048597x1.05x1.000000x1.000000x11.422%11.4%10.892%10.9%42-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%43-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%44-1.123309x-1.123309x1.12x1.000000x1.000000x8.606%8.61%7.662%7.66%45-1.267373x-1.267373x1.27x1.000000x1.000000x3.786%3.79%2.988%2.99%46-1.372172x-1.372172x1.37x1.000000x1.000000x6.473%6.47%4.717%4.72%47-1.488096x-1.488096x1.49x1.000000x1.000000x7.556%7.56%5.078%5.08%48-1.674737x-1.674737x1.67x1.000000x1.000000x9.296%9.30%5.551%5.55%49-1.705501x-1.705501x1.71x1.000000x1.000000x2.506%2.51%1.470%1.47%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 Dayton, selected other county subdivisions in Washington, and entities that contain Dayton
Female
Male
1x0x1x2x3xFM#PascoRichland-KennewickGig Hbr PeninsulaBremertonE WenatcheeBattle GroundDeer ParkArlingtonWalla WallaLongview-KelsoStanwoodMarysvilleFerndaleThurston SWalla Walla-College PlWalla Walla-Colle…OrchardsMoses LakeFederal Wy-AuburnYakimaVancouverSpokaneEnumclaw PlateauOlympia EastPort AngelesPoulsboCamasDaytonColumbiaTract 960200EdmondsMount VernonOlympiaSeattle EastBellinghamUnited StatesWashingtonPullmanWestGraham-ThriftIssaquah PlateauToppenish-WapatoPacificEverettSunnysideTacomaMaltbyPuyallupWenatcheeCentralia-ChehalisSeattleN Whidbey IsPort OrchardSnoqualmie VlyMonroeSnohomishTahoma-Maple VlyAberdeen-HoquiamFort Lewis-DuPont-1.000000x-1.000000x3.754006x3.754006x3.75x0.453%0.45%1.702%1.70%1-1.000000x-1.000000x3.277567x3.277567x3.28x1.695%1.69%5.554%5.55%2-1.000000x-1.000000x2.353675x2.353675x2.35x4.198%4.20%9.881%9.88%3-1.000000x-1.000000x2.289948x2.289948x2.29x1.161%1.16%2.658%2.66%4-1.000000x-1.000000x2.252158x2.252158x2.25x1.086%1.09%2.446%2.45%5-1.000000x-1.000000x2.246026x2.246026x2.25x1.502%1.50%3.374%3.37%6-1.000000x-1.000000x2.234968x2.234968x2.23x2.002%2.00%4.475%4.48%7-1.000000x-1.000000x2.070083x2.070083x2.07x0.661%0.66%1.368%1.37%8-1.000000x-1.000000x2.053618x2.053618x2.05x1.902%1.90%3.907%3.91%-1.000000x-1.000000x2.029202x2.029202x2.03x0.904%0.90%1.834%1.83%9-1.000000x-1.000000x2.027583x2.027583x2.03x1.042%1.04%2.112%2.11%10-1.000000x-1.000000x1.998461x1.998461x2.00x0.754%0.75%1.507%1.51%11-1.000000x-1.000000x1.995680x1.995680x2.00x1.773%1.77%3.539%3.54%12-1.000000x-1.000000x1.980185x1.980185x1.98x0.639%0.64%1.265%1.27%13-1.000000x-1.000000x1.971889x1.971889x1.97x2.096%2.10%4.132%4.13%14-1.000000x-1.000000x1.875884x1.875884x1.88x1.027%1.03%1.926%1.93%15-1.000000x-1.000000x1.851169x1.851169x1.85x1.001%1.00%1.854%1.85%16-1.000000x-1.000000x1.825770x1.825770x1.83x1.066%1.07%1.947%1.95%17-1.000000x-1.000000x1.747525x1.747525x1.75x1.848%1.85%3.230%3.23%18-1.000000x-1.000000x1.739579x1.739579x1.74x2.095%2.10%3.645%3.65%19-1.000000x-1.000000x1.721484x1.721484x1.72x2.324%2.32%4.001%4.00%20-1.000000x-1.000000x1.707001x1.707001x1.71x1.667%1.67%2.846%2.85%21-1.000000x-1.000000x1.704736x1.704736x1.70x1.097%1.10%1.871%1.87%22-1.000000x-1.000000x1.692842x1.692842x1.69x1.934%1.93%3.274%3.27%23-1.000000x-1.000000x1.690101x1.690101x1.69x2.231%2.23%3.771%3.77%24-1.000000x-1.000000x1.672872x1.672872x1.67x2.125%2.13%3.555%3.56%25-1.000000x-1.000000x1.624109x1.624109x1.62x1.629%1.63%2.646%2.65%-1.000000x-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-1.000000x-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-1.000000x-1.000000x1.584767x1.584767x1.58x2.758%2.76%4.370%4.37%26-1.000000x-1.000000x1.564337x1.564337x1.56x1.426%1.43%2.231%2.23%27-1.000000x-1.000000x1.562250x1.562250x1.56x3.598%3.60%5.621%5.62%28-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%29-1.000000x-1.000000x1.552522x1.552522x1.55x3.667%3.67%5.693%5.69%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-1.000000x-1.000000x1.480318x1.480318x1.48x12.592%12.6%18.640%18.6%31-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.462594x1.462594x1.46x1.030%1.03%1.506%1.51%32-1.000000x-1.000000x1.452201x1.452201x1.45x4.916%4.92%7.140%7.14%33-1.000000x-1.000000x1.424524x1.424524x1.42x0.686%0.69%0.978%0.98%34-1.000000x-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.410237x1.410237x1.41x1.594%1.59%2.248%2.25%35-1.000000x-1.000000x1.405728x1.405728x1.41x0.501%0.50%0.705%0.70%36-1.000000x-1.000000x1.360981x1.360981x1.36x2.026%2.03%2.757%2.76%37-1.000000x-1.000000x1.309416x1.309416x1.31x3.092%3.09%4.048%4.05%38-1.000000x-1.000000x1.303985x1.303985x1.30x1.720%1.72%2.243%2.24%39-1.000000x-1.000000x1.275968x1.275968x1.28x2.954%2.95%3.769%3.77%40-1.000000x-1.000000x1.268892x1.268892x1.27x1.688%1.69%2.142%2.14%41-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%42-1.000000x-1.000000x1.135270x1.135270x1.14x1.539%1.54%1.747%1.75%43-1.000000x-1.000000x1.035374x1.035374x1.04x1.751%1.75%1.813%1.81%44-1.000000x-1.000000x1.007196x1.007196x1.01x2.728%2.73%2.747%2.75%45-1.000000x-1.000000x1.003400x1.003400x1.00x1.790%1.79%1.796%1.80%46-1.033912x-1.033912x1.03x1.000000x1.000000x2.240%2.24%2.167%2.17%47-1.068016x-1.068016x1.07x1.000000x1.000000x1.903%1.90%1.782%1.78%48-1.093921x-1.093921x1.09x1.000000x1.000000x1.650%1.65%1.508%1.51%49-1.274340x-1.274340x1.27x1.000000x1.000000x3.634%3.63%2.852%2.85%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 Dayton to the 50 most populous county subdivisions in the West and to those entities that contain or substantially overlap with Dayton. The least populous of the compared county subdivisions has a population of 323,012.

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 Dayton, selected other county subdivisions in the West, and entities that contain Dayton
0%20%40%Count#South Gate-East Los AngelesS Gate-E Los Ang…ComptonSan BernardinoStocktonInglewoodBakersfieldLos AngelesSouthwest San Gabriel ValleySW San Gabriel VlyUpper San Gabriel ValleyUpper San Gabriel …ModestoDowney-NorwalkAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…RiversideFresnoWhittierEast San Gabriel ValleyE San Gabriel VlyVictorville-HesperiaLong Beach-LakewoodLong Bch-LakewoodSan Fernando ValleySan Fernando VlyOaklandOntarioHaywardOceanside-EscondidoOceanside-Escond…Las VegasPacificPhoenixWestSacramentoDenverUnited States of AmericaUnited StatesSan DiegoSan JoseSan FranciscoTucsonAlbuquerqueNorth CoastWalla Walla Metro AreaWalla WallaSan MateoTacomaHonoluluSalt Lake CitySalt Lk CityDaytonColumbia CountyColumbia960200Tract 960200Portland EastSouth AuroraWashingtonBeaverton-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%434,160434k724.185288%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%198,651199k2415.692232%15.692232%15.7%5,422,9325.42M14.952077%14.952077%15.0%308,569309k2514.435746%14.435746%14.4%7,178,2187.18M13.900512%13.900512%13.9%103,047103k2613.638703%13.638703%13.6%63,86563.9k2713.020590%13.020590%13.0%27,818,38027.8M12.985760%12.985760%13.0%206,792207k2812.789590%12.789590%12.8%153,604154k2912.559735%12.559735%12.6%84,02484.0k3012.262851%12.262851%12.3%70,40970.4k3112.089143%12.089143%12.1%52,21752.2k3211.992279%11.992279%12.0%32,74032.7k3311.287289%11.287289%11.3%4,74111.285751%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%64,29464.3k3710.420475%10.420475%10.4%28510.070970%10.070970%10.1%29810.070970%10.070970%10.1%2989.824058%9.824058%9.8%35,02135.0k389.432887%9.432887%9.4%23,65923.7k399.418712%9.418712%9.4%452,496452k8.961579%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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dayton, selected other county subdivisions in the West, and entities that contain Dayton
0%20%40%Count#Seattle EastSan FranciscoSan MateoCentral Contra CostaCntrl Contra CostaSan JoseSeattleFremontDenverChandlerOaklandPortland EastBeaverton-HillsboroNortheast JeffersonNE JeffersonSan DiegoHonoluluNorth CoastBoise CityColorado SpringsColorado SpgsLos AngelesSouth AuroraWashingtonSan Fernando ValleySan Fernando VlySalt Lake CitySalt Lk CityAlbuquerquePacificTucsonWestOceanside-EscondidoOceanside-Escond…United States of AmericaUnited StatesUpper San Gabriel ValleyUpper San Gabriel …EwaLong Beach-LakewoodLong Bch-LakewoodPhoenixAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Walla Walla Metro AreaWalla WallaSacramentoHaywardSpokaneEast San Gabriel ValleyE San Gabriel VlyOntarioSouthwest San Gabriel ValleySW San Gabriel VlyColumbia CountyColumbia960200Tract 960200DaytonTacomaFresnoDowney-NorwalkLas VegasRiversideWhittierInglewoodSan BernardinoStocktonModestoBakersfieldComptonVictorville-HesperiaSouth Gate-East Los AngelesS Gate-E Los Ang…57.691220%57.691220%57.7%238,638239k154.793235%54.793235%54.8%366,564367k253.281332%53.281332%53.3%150,004150k353.008408%53.008408%53.0%185,980186k449.985845%49.985845%50.0%600,334600k549.626221%49.626221%49.6%372,018372k647.196287%47.196287%47.2%113,887114k745.718966%45.718966%45.7%214,085214k842.582760%42.582760%42.6%114,201114k941.647432%41.647432%41.6%128,828129k1041.587794%41.587794%41.6%148,253148k1141.158658%41.158658%41.2%120,152120k1238.955422%38.955422%39.0%129,690130k1338.701072%38.701072%38.7%616,296616k1438.406071%38.406071%38.4%112,756113k1537.195111%37.195111%37.2%101,546102k1636.805114%36.805114%36.8%82,26982.3k1735.792201%35.792201%35.8%92,00692.0k1834.593243%34.593243%34.6%604,693605k1934.004880%34.004880%34.0%85,28985.3k2033.557116%33.557116%33.6%1,612,1591.61M33.231104%33.231104%33.2%420,848421k2133.118385%33.118385%33.1%204,048204k2232.636312%32.636312%32.6%140,967141k2332.107540%32.107540%32.1%11,095,74511.1M32.087814%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%64,767,78764.8M29.571143%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%312,038312k3028.355117%28.355117%28.4%11,91011.9k28.231204%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%62,24262.2k3625.413991%25.413991%25.4%75225.413991%25.413991%25.4%75224.606947%24.606947%24.6%67324.260108%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%30,82230.8k4812.116874%12.116874%12.1%27,67727.7k496.485660%6.485660%6.5%19,04319.0k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Dayton, selected other county subdivisions in the West, and entities that contain Dayton
0%2%4%6%8%Count#San MateoSan FranciscoCentral Contra CostaCntrl Contra CostaSeattleOaklandSan JoseSeattle EastDenverHonoluluSan DiegoLos AngelesAlbuquerqueTucsonFremontPortland EastBeaverton-HillsboroNorth CoastChandlerPacificSalt Lake CitySalt Lk CitySan Fernando ValleySan Fernando VlyWestBoise CityWashingtonOceanside-EscondidoOceanside-Escond…SacramentoUnited States of AmericaUnited StatesNortheast JeffersonNE JeffersonSpokaneColorado SpringsColorado SpgsUpper San Gabriel ValleyUpper San Gabriel …PhoenixLong Beach-LakewoodLong Bch-LakewoodWalla Walla Metro AreaWalla WallaFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…South AuroraRiversideHaywardEast San Gabriel ValleyE San Gabriel VlyTacomaOntarioSouthwest San Gabriel ValleySW San Gabriel VlyLas VegasDaytonEwaColumbia CountyColumbia960200Tract 960200San BernardinoStocktonWhittierDowney-NorwalkBakersfieldModestoInglewoodVictorville-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%10,45810.5k183.803905%3.803905%3.8%1,314,5561.31M3.792624%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%7,982213.560013%3.560013%3.6%171,031171k3.466073%3.466073%3.5%15,21115.2k223.380196%3.380196%3.4%25,05825.1k233.336158%3.336158%3.3%7,127,6737.13M3.162331%3.162331%3.2%10,52810.5k243.130766%3.130766%3.1%7,653253.049141%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%11,33911.3k292.923601%2.923601%2.9%1,2282.828959%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%26,91426.9k392.120658%2.120658%2.1%582.006070%2.006070%2.0%4,554401.960122%1.960122%2.0%581.960122%1.960122%2.0%581.807306%1.807306%1.8%8,895411.772510%1.772510%1.8%3,773421.747175%1.747175%1.7%3,728431.746958%1.746958%1.7%4,687441.727628%1.727628%1.7%4,156451.651661%1.651661%1.7%3,324461.267904%1.267904%1.3%3,061470.989418%0.989418%1.0%2,260480.804902%0.804902%0.8%1,726490.302435%0.302435%0.3%88850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Dayton, selected other county subdivisions in the West, and entities that contain Dayton
Female
Male
1x0x1xFM#DaytonColumbiaTract 960200Walla WallaInglewoodVictorville-HesperiaFresnoSan MateoWashingtonUnited StatesSpokaneCntrl Contra CostaNE JeffersonBakersfieldStocktonOntarioSan BernardinoRiversideModestoComptonTacomaPhoenixColorado SpgsAlbuquerqueBeaverton-HillsboroPortland EastBoise CityWestSacramentoSalt Lk CityDenverOaklandSouth AuroraPacificOceanside-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-1.000000x1.885858x1.885858x1.89x7.295%7.29%13.757%13.8%-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.315154x1.315154x1.32x9.726%9.73%12.791%12.8%-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-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107157x1.107157x1.11x7.034%7.03%7.788%7.79%5-1.000000x-1.000000x1.098561x1.098561x1.10x5.479%5.48%6.019%6.02%6-1.000000x-1.000000x1.095914x1.095914x1.10x6.124%6.12%6.712%6.71%7-1.000000x-1.000000x1.093115x1.093115x1.09x24.490%24.5%26.770%26.8%8-1.000000x-1.000000x1.089447x1.089447x1.09x26.023%26.0%28.351%28.4%9-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%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-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-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#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 Dayton, selected other county subdivisions in the West, and entities that contain Dayton
Female
Male
1x0x1x2xFM#Walla WallaSalt Lk CityUpper San Gabriel VlyUpper San Gabriel …Boise CityStocktonChandlerBakersfieldSpokaneAlbuquerqueBeaverton-HillsboroPhoenixModestoDaytonTucsonFremontCntrl Contra CostaColumbiaTract 960200Las VegasSeattle EastSan DiegoUnited StatesSan JoseHonoluluColorado SpgsWashingtonFresnoWestSan Fernando VlyE San Gabriel VlyRiversideSouth AuroraSan BernardinoPacificVictorville-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…Ewa-1.000000x-1.000000x2.053618x2.053618x2.05x1.902%1.90%3.907%3.91%-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-1.000000x1.660940x1.660940x1.66x3.099%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-1.000000x1.624109x1.624109x1.62x1.629%1.63%2.646%2.65%-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-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-1.000000x-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-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-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-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-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-1.000000x-1.000000x1.405210x1.405210x1.41x0.826%0.83%1.161%1.16%27-1.000000x-1.000000x1.388437x1.388437x1.39x1.474%1.47%2.046%2.05%28-1.000000x-1.000000x1.386304x1.386304x1.39x3.339%3.34%4.629%4.63%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.360981x1.360981x1.36x2.026%2.03%2.757%2.76%31-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%32-1.000000x-1.000000x1.355263x1.355263x1.36x8.200%8.20%11.114%11.1%33-1.000000x-1.000000x1.335395x1.335395x1.34x2.719%2.72%3.631%3.63%34-1.000000x-1.000000x1.326877x1.326877x1.33x1.923%1.92%2.552%2.55%35-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%36-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%37-1.000000x-1.000000x1.273120x1.273120x1.27x0.713%0.71%0.908%0.91%38-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%39-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%40-1.000000x-1.000000x1.195039x1.195039x1.20x2.279%2.28%2.724%2.72%41-1.000000x-1.000000x1.189644x1.189644x1.19x1.601%1.60%1.905%1.90%42-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%43-1.000000x-1.000000x1.159391x1.159391x1.16x1.180%1.18%1.368%1.37%44-1.000000x-1.000000x1.147461x1.147461x1.15x6.162%6.16%7.071%7.07%45-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%46-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%47-1.000000x-1.000000x1.089436x1.089436x1.09x4.190%4.19%4.565%4.57%48-1.014672x-1.014672x1.01x1.000000x1.000000x0.305%0.30%0.300%0.30%49-1.453997x-1.453997x1.45x1.000000x1.000000x2.376%2.38%1.634%1.63%50
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 Dayton to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Dayton. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Dayton, selected other county subdivisions in the United States, and entities that contain Dayton
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPacificPhoenixWestBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaWalla Walla Metro AreaWalla WallaSalt Lake CitySalt Lk CityDaytonTown of HempsteadHempsteadNorthwest HarrisNW HarrisColumbia CountyColumbia960200Tract 960200WashingtonAtlantaWashingtonSeattleNortheast 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%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2515.692232%15.692232%15.7%5,422,9325.42M14.952077%14.952077%15.0%308,569309k2614.435746%14.435746%14.4%7,178,2187.18M14.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4111.287289%11.287289%11.3%4,74110.435356%10.435356%10.4%64,29464.3k4210.420475%10.420475%10.4%28510.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.070970%10.070970%10.1%29810.070970%10.070970%10.1%29810.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.418712%9.418712%9.4%452,496452k8.833573%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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Dayton, selected other county subdivisions in the United States, and entities that contain Dayton
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynWashingtonSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaPacificTucsonWestOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Walla Walla Metro AreaWalla WallaSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiColumbia CountyColumbia960200Tract 960200Fort WorthDaytonSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.557116%33.557116%33.6%1,612,1591.61M33.231104%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%144,676145k2532.107540%32.107540%32.1%11,095,74511.1M32.087814%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%64,767,78764.8M30.080133%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%312,038312k3528.355117%28.355117%28.4%11,91011.9k28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.413991%25.413991%25.4%75225.413991%25.413991%25.4%75224.665414%24.665414%24.7%131,349131k4124.606947%24.606947%24.6%67323.764821%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%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Dayton, selected other county subdivisions in the United States, and entities that contain Dayton
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasPacificSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyWestWashingtonTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWalla Walla Metro AreaWalla WallaOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasDaytonMilwaukeeColumbia CountyColumbia960200Tract 960200San BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%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%38,21138.2k213.803905%3.803905%3.8%1,314,5561.31M3.792624%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%1,787,3201.79M3.560013%3.560013%3.6%171,031171k3.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.923601%2.923601%2.9%1,2282.893233%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%26,91426.9k432.120658%2.120658%2.1%582.043126%2.043126%2.0%7,455441.960122%1.960122%2.0%581.960122%1.960122%2.0%581.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

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 Dayton, selected other county subdivisions in the United States, and entities that contain Dayton
Female
Male
1x0x1xFM#DaytonColumbiaTract 960200Walla Walla1, CharlotteDetroitBaltimoreTulsaSW DallasFresnoMilwaukeeWashingtonUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonWestSacramentoColumbusSalt Lk CityDenverPacificNE 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-1.000000x1.885858x1.885858x1.89x7.295%7.29%13.757%13.8%-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.806941x1.806941x1.81x7.219%7.22%13.043%13.0%-1.000000x-1.000000x1.315154x1.315154x1.32x9.726%9.73%12.791%12.8%-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-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%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-1.000000x1.043688x1.043688x1.04x15.364%15.4%16.035%16.0%-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#34

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 Dayton, selected other county subdivisions in the United States, and entities that contain Dayton
Female
Male
1x0x1x2xFM#El PasoWalla WallaSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixDaytonTucson1, CharlotteColumbiaTract 960200NW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseWashingtonHempsteadFresnoNE TarrantWestTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoPacificColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053618x2.053618x2.05x1.902%1.90%3.907%3.91%-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-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.624109x1.624109x1.62x1.629%1.63%2.646%2.65%-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-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-1.000000x-1.000000x1.585801x1.585801x1.59x1.523%1.52%2.415%2.42%-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-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%-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-1.000000x1.418171x1.418171x1.42x3.158%3.16%4.478%4.48%-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
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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Demographics

Income

Education

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State:
Washington
County:
Columbia
Metro Area:
Walla Walla Area
City:
Dayton
ZIP Codes:
99328, 99347, 99361
Unified School Districts:
Dayton, Waitsburg
Congressional District:
WA-5
State Senate District:
WA-16
State House District:
WA-16