Educational Attainment in Washington County, Ohio (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ohio and Washington County
Washington County
Ohio
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.321365%35.063314%29.321365%29.3%12,70712.7k60.883310%54.422540%60.883310%60.9%26,38526.4k9.795325%10.514146%9.795325%9.8%4,245
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 Ohio at large.
Scope: population of Ohio and Washington County
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-16.375944%-16.375944%-16.4%29.321%29.3%35.063%35.1%11.871496%11.871496%+11.9%60.883%60.9%54.423%54.4%-6.836702%-6.836702%-6.8%9.795%9.80%10.514%10.5%
% percentage with given level in Washington County
ref. percentage with given level in Ohio
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 Ohio and Washington County
Washington County
Ohio
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.833006%1.076166%0.833006%0.8%3610.756859%1.607075%0.756859%0.8%3284.446547%7.279494%4.446547%4.4%1,92712.372799%16.704731%12.372799%12.4%5,36210.912154%8.395848%10.912154%10.9%4,72919.586035%20.603422%19.586035%19.6%8,48841.297275%33.819119%41.297275%41.3%17,89717.9k7.653968%7.545636%7.653968%7.7%3,3171.476798%2.095069%1.476798%1.5%6400.664559%0.873440%0.664559%0.7%288
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 Ohio at large.
Scope: population of Ohio and Washington County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-22.594984%-22.594984%-22.6%0.833%0.83%1.076%1.08%-52.904566%-52.904566%-52.9%0.757%0.76%1.607%1.61%-38.916810%-38.916810%-38.9%4.447%4.45%7.279%7.28%-25.932366%-25.932366%-25.9%12.373%12.4%16.705%16.7%29.970836%29.970836%+30.0%10.912%10.9%8.396%8.40%-4.937949%-4.937949%-4.9%19.586%19.6%20.603%20.6%22.112214%22.112214%+22.1%41.297%41.3%33.819%33.8%1.435685%1.435685%+1.4%7.654%7.65%7.546%7.55%-29.510774%-29.510774%-29.5%1.477%1.48%2.095%2.10%-23.914763%-23.914763%-23.9%0.665%0.66%0.873%0.87%
% percentage with given level in Washington County
ref. percentage with given level in Ohio
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 Ohio and Washington County
More Females More Males
Ohio
Washington County
10%0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-17.908145%-7.885240%-17.908145%18%31.650%31.7%26.843%26.8%6.301180%2.984493%6.301180%6%59.080%59.1%62.802%62.8%11.698023%10.536340%11.698023%12%9.270%9.27%10.354%10.4%
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 Ohio and Washington County
More Females More Males
Ohio
Washington County
0%50%100%150%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None181.599670%65.373714%181.599670%182%0.443%0.44%1.248%1.25%66.259347%68.015763%66.259347%66%0.573%0.57%0.953%0.95%-26.067515%-21.244079%-26.067515%26%4.942%4.94%3.920%3.92%-13.907713%-13.907713%14%0.726598%13.151%13.2%11.545%11.5%-36.653378%-39.383112%-36.653378%37%12.542%12.5%9.178%9.18%-0.391548%-0.103999%-0.391548%0%19.623%19.6%19.547%19.5%9.628943%4.911287%9.628943%10%39.457%39.5%43.256%43.3%-3.068737%-3.068737%3%10.693269%7.766%7.77%7.535%7.53%139.278427%11.385964%139.278427%139%0.882%0.88%2.110%2.11%14.061089%7.203042%14.061089%14%0.622%0.62%0.710%0.71%
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 Ohio and Washington County
Washington County
Ohio
0%5%10%15%20%B.X.Total65+45-6435-4425-348.589481%11.168673%8.589481%8.6%1,00611,71211.7k11.753846%15.925332%11.753846%11.8%2,10117,87517.9k15.206588%19.733657%15.206588%15.2%1,0717,04317.653198%22.259142%17.653198%17.7%1,1846,707
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 Ohio at large.
Scope: population of Ohio and Washington County
25%20%15%10%5%0%%ref.65+45-6435-4425-34-23.093092%-23.093092%23.1%8.589%8.59%11.169%11.2%-26.194026%-26.194026%26.2%11.754%11.8%15.925%15.9%-22.940851%-22.940851%22.9%15.207%15.2%19.734%19.7%-20.692370%-20.692370%20.7%17.653%17.7%22.259%22.3%
% percentage in Washington County with a Bachelor's degree
ref percentage in Ohio 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 Ohio and Washington County
More Females More Males
Ohio
Washington County
60%40%20%0%20%FM65+45-6435-4425-3424.669376%36.828803%24.669376%24.7%7.743%7.74%9.653%9.65%-7.877528%-0.054549%-7.877528%7.9%12.197%12.2%11.306%11.3%-72.568427%-14.012939%-72.568427%72.6%19.163%19.2%11.105%11.1%-29.630334%-14.499975%-29.630334%29.6%20.012%20.0%15.438%15.4%
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 Ohio and Washington County
Washington County
Ohio
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$57,670.000000$63,821.000000$57,670.000000$57.7k2,6166.036%6.04%$43,508.000000$50,107.000000$43,508.000000$43.5k5,36212.373%12.4%$30,769.000000$32,706.000000$30,769.000000$30.8k13,21713.2k30.498%30.5%$27,126.000000$28,919.000000$27,126.000000$27.1k17,89717.9k41.297%41.3%$15,236.000000$20,344.000000$15,236.000000$15.2k4,2459.795%9.80%$31,733.000000$35,841.000000$31,733.000000$31.7k43,33743.3k100.000%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 Ohio and Washington County
Female Male
Ohio
Washington County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-52,560.000000$-55,571.000000$-52,560.000000$52.6k$52,560.000000$14,844.000000$55,571.000000$22,109.000000$67,404.000000$67.4k1,3311,285$-34,631.000000$-40,856.000000$-34,631.000000$34.6k$34,631.000000$18,824.000000$40,856.000000$20,405.000000$53,455.000000$53.5k2,9382,424$-24,186.000000$-27,361.000000$-24,186.000000$24.2k$24,186.000000$16,646.000000$27,361.000000$13,780.000000$40,832.000000$40.8k7,1866,031$-20,865.000000$-22,081.000000$-20,865.000000$20.9k$20,865.000000$12,825.000000$22,081.000000$13,410.000000$33,690.000000$33.7k8,8159,082$-11,802.000000$-15,062.000000$-11,802.000000$11.8k$11,802.000000$7,958.000000$15,062.000000$9,409.000000$19,760.000000$19.8k2,0712,174$-25,208.000000$-29,749.000000$-25,208.000000$25.2k$25,208.000000$15,250.000000$29,749.000000$12,566.000000$40,458.000000$40.5k22,34122.3k20,99621.0k
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 Ohio and Washington County
Washington County
Ohio
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%51.152074%0100.000000%41.442873%100.000000%100.0%290.000000%0.000000%0.0%7.039568%00.000000%0.000000%0.0%0.365485%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 Ohio and Washington County
Washington County
Ohio
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.156711%84.712194%82.156711%82.2%5,29572.333792%75.098475%72.333792%72.3%7,88864.963932%67.335954%64.963932%65.0%7,74536.846579%44.096181%36.846579%36.8%867
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 Ohio and Washington County
Female Male
Ohio
Washington County
Shaded bar tips show excess over facing bar.
20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-9.284690%-8.849949%-9.284690%9.3%9.284690%0.422889%8.849949%0.838407%9.707579%9.7%1,9522,008-10.400000%-14.710486%-10.400000%10.4%10.400000%21.258291%14.710486%2.396424%31.658291%31.7%6326-0.000000%-10.995328%-3.238870%0.000000%0.0%0.000000%0.000000%10.995328%0.000000%0.0%00-0.000000%-23.269744%0.000000%0.0%0.000000%64.467005%23.269744%5.740390%64.467005%64.5%1270-13.653137%-16.869350%-13.653137%13.7%13.653137%8.054181%16.869350%3.904344%21.707317%21.7%8937
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 Ohio and Washington County
Female Male
Ohio
Washington County
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-17.644719%-1.525763%-27.409880%-19.170481%19.2%17.644719%27.409880%0.383981%17.644719%17.6%3,5484,146-8.542714%-7.457286%-14.337282%-3.326272%-16.000000%16.0%8.542714%14.337282%8.542714%8.5%1740-43.478261%-55.571247%-43.478261%43.5%43.478261%42.950311%55.571247%11.025101%86.428571%86.4%12140-0.000000%-16.831683%-15.825016%-4.164425%-16.831683%16.8%0.000000%15.825016%0.000000%0.0%017-5.609756%-3.984340%-18.226192%-3.481943%-9.594096%9.6%5.609756%18.226192%5.609756%5.6%2326
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Washington County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
8%15%22%29%36%44%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
40%48%55%62%70%78%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
4.4%9.1%13.7%18.4%23.0%27.8%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.0%4.1%6.1%8.1%10.2%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.4%3.2%4.0%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.7%3.4%5.1%6.8%8.5%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%4.6%8.8%13.1%17.4%21.8%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
3.9%6.8%9.7%12.5%15.4%18.3%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
9%16%23%30%36%43%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
22%32%41%49%58%68%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%11%17%22%28%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.3%2.5%3.8%5.1%6.4%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.3%3.5%4.6%5.8%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Washington County

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
20.4%24.9%29.4%33.9%38.4%43.0%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
45.9%50.8%55.7%60.6%65.5%70.5%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%8.2%10.3%12.3%14.4%16.5%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.1%1.7%2.3%2.9%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.1%1.6%2.1%2.7%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
1.3%3.2%5.1%6.9%8.8%10.7%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
4.5%7.9%11.3%14.7%18.1%21.5%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
5.7%8.1%10.5%12.8%15.2%17.6%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
14.4%16.9%19.2%21.6%24.0%26.4%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
29.6%34.6%39.5%44.5%49.5%54.5%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
4.9%6.2%7.5%8.8%10.0%11.3%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.4%3.2%4.1%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%3.0%4.4%5.9%7.4%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Washington County

There are 13 places in Washington County. This section compares all 13 of those to each other, Washington County, and other entities that contain or substantially overlap with Washington County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Washington County, selected places in Washington County, and entities that contain Washington County
0%5%10%15%20%Count#MacksburgMatamorasBeverlyBelpreUnited States of AmericaUnited StatesEast North CentralOhioMidwestMariettaMarietta Metro AreaMarietta AreaWashington CountyWashingtonLower SalemLowellVincentRenoLittle HockingNewportDevolaWaterford22.972973%22.972973%23.0%34119.897084%19.897084%19.9%116213.436385%13.436385%13.4%113313.193869%13.193869%13.2%637413.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.190321%10.190321%10.2%93759.795325%9.795325%9.8%4,2459.795325%9.795325%9.8%4,2459.615385%9.615385%9.6%569.192201%9.192201%9.2%3377.096774%7.096774%7.1%1185.926860%5.926860%5.9%4794.975124%4.975124%5.0%10104.313725%4.313725%4.3%33114.235045%4.235045%4.2%80122.661597%2.661597%2.7%713
Count number of people in category
# rank of place out of 13 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected places in Washington County, and entities that contain Washington County
0%10%20%30%40%Count#Little HockingDevolaUnited States of AmericaUnited StatesMidwestEast North CentralOhioMariettaMarietta Metro AreaMarietta AreaWashington CountyWashingtonWaterfordNewportBelpreBeverlyLowellMatamorasRenoLower SalemMacksburgVincent45.273632%45.273632%45.3%91134.886183%34.886183%34.9%659230.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M23.621533%23.621533%23.6%2,172318.409212%18.409212%18.4%7,97818.409212%18.409212%18.4%7,97818.250951%18.250951%18.3%48416.732026%16.732026%16.7%128515.534383%15.534383%15.5%750615.338882%15.338882%15.3%129712.534819%12.534819%12.5%45810.806175%10.806175%10.8%6397.566204%7.566204%7.6%60101.923077%1.923077%1.9%1110.675676%0.675676%0.7%1120.000000%0.000000%0.0%013
Count number of people in category
# rank of place out of 13 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Washington County, selected places in Washington County, and entities that contain Washington County
0%1%2%3%Count#United States of AmericaUnited StatesMariettaDevolaMidwestEast North CentralOhioNewportMarietta Metro AreaMarietta AreaWashington CountyWashingtonLowellBelpreBeverlyRenoMatamorasWaterfordLittle HockingVincentMacksburgLower Salem3.336158%3.336158%3.3%7,127,6737.13M3.230016%3.230016%3.2%29713.017470%3.017470%3.0%5722.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.352941%2.352941%2.4%1831.589865%1.589865%1.6%6891.589865%1.589865%1.6%6891.392758%1.392758%1.4%541.056338%1.056338%1.1%5150.951249%0.951249%1.0%860.000000%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%013
Count number of people in category
# rank of place out of 13 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#45

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 Washington County, selected places in Washington County, and entities that contain Washington County
Female
Male
10x5x0x5x10xFM#WaterfordLittle HockingLower SalemMariettaMidwestEast North CentralMarietta AreaWashingtonUnited StatesOhioLowellMatamorasBeverlyNewportBelpreMacksburgDevolaRenoVincent-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.147%5.15%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.174%9.17%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%20.833%20.8%3-1.000000x-1.000000x1.132670x1.132670x1.13x9.607%9.61%10.881%10.9%4-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.072187x1.072187x1.07x8.911%8.91%9.554%9.55%5-1.000000x-1.000000x1.052419x1.052419x1.05x19.436%19.4%20.455%20.5%6-1.000000x-1.000000x1.026392x1.026392x1.03x13.274%13.3%13.625%13.6%7-1.000000x-1.000000x1.016304x1.016304x1.02x4.278%4.28%4.348%4.35%8-1.041058x-1.041058x1.04x1.000000x1.000000x13.435%13.4%12.905%12.9%9-1.397727x-1.397727x1.40x1.000000x1.000000x27.273%27.3%19.512%19.5%10-1.432310x-1.432310x1.43x1.000000x1.000000x4.945%4.94%3.452%3.45%11-4.115407x-4.115407x4.12x1.000000x1.000000x9.070%9.07%2.204%2.20%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x15.714%15.7%0.000%0%13
F percentage of females in category
M percentage of males in category
# rank of place out of 13 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

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 Washington County, selected places in Washington County, and entities that contain Washington County
Female
Male
10x5x0x5x10xFM#DevolaBeverlyNewportBelpreMarietta AreaWashingtonMariettaOhioEast North CentralMidwestUnited StatesLowell-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.347%6.35%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.057%2.06%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.604%4.60%3-1.000000x-1.000000x3.512224x3.512224x3.51x0.493%0.49%1.733%1.73%4-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%-1.000000x-1.000000x2.103503x2.103503x2.10x2.146%2.15%4.514%4.51%5-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.475%2.48%0.000%0%6
F percentage of females in category
M percentage of males in category
# rank of place out of 6 by male-to-female sex ratio

Educational Attainment by County Subdivision in Washington County

There are 24 county subdivisions in Washington County. This section compares all 24 of those to each other, Washington County, and other entities that contain or substantially overlap with Washington County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
0%10%20%Count#Ludlow TownshipLudlowWesley TownshipWesleyDunham TownshipDunhamLawrence TownshipLawrenceAurelius TownshipAureliusFairfield TownshipFairfieldBelpreUnited States of AmericaUnited StatesGrandview TownshipGrandviewAdams TownshipAdamsEast North CentralOhioMarietta TownshipMariettaMidwestMariettaMarietta Metro AreaMarietta AreaWashington CountyWashingtonWaterford TownshipWaterfordWatertown TownshipWatertownBarlow TownshipBarlowBelpre TownshipBelpreFearing TownshipFearingSalem TownshipSalemDecatur TownshipDecaturPalmer TownshipPalmerWarren TownshipWarrenMuskingum TownshipMuskingumNewport TownshipNewportIndependence TownshipIndependenceLiberty TownshipLiberty27.702703%27.702703%27.7%41116.320000%16.320000%16.3%102214.891180%14.891180%14.9%260314.832536%14.832536%14.8%93414.775726%14.775726%14.8%56514.742015%14.742015%14.7%120613.193869%13.193869%13.2%637713.020590%13.020590%13.0%27,818,38027.8M12.218045%12.218045%12.2%130810.794979%10.794979%10.8%129910.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.324755%10.324755%10.3%3371010.244520%10.244520%10.2%4,641,8354.64M10.190321%10.190321%10.2%937119.795325%9.795325%9.8%4,2459.795325%9.795325%9.8%4,2459.691286%9.691286%9.7%248128.526316%8.526316%8.5%81138.187135%8.187135%8.2%154147.960894%7.960894%8.0%228157.923930%7.923930%7.9%50167.857143%7.857143%7.9%66176.796117%6.796117%6.8%70186.613757%6.613757%6.6%25196.430636%6.430636%6.4%178205.701615%5.701615%5.7%180215.486610%5.486610%5.5%84224.761905%4.761905%4.8%12234.418985%4.418985%4.4%2724
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
0%10%20%30%Count#United States of AmericaUnited StatesFearing TownshipFearingMidwestEast North CentralMuskingum TownshipMuskingumOhioMariettaLudlow TownshipLudlowSalem TownshipSalemBarlow TownshipBarlowWarren TownshipWarrenIndependence TownshipIndependenceBelpre TownshipBelpreMarietta Metro AreaMarietta AreaWashington CountyWashingtonDecatur TownshipDecaturAdams TownshipAdamsDunham TownshipDunhamMarietta TownshipMariettaBelpreWatertown TownshipWatertownWaterford TownshipWaterfordNewport TownshipNewportLiberty TownshipLibertyFairfield TownshipFairfieldPalmer TownshipPalmerGrandview TownshipGrandviewWesley TownshipWesleyLawrence TownshipLawrenceAurelius TownshipAurelius30.315023%30.315023%30.3%64,767,78764.8M29.635499%29.635499%29.6%187128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.336079%27.336079%27.3%863226.667466%26.667466%26.7%2,092,8752.09M23.621533%23.621533%23.6%2,172320.945946%20.945946%20.9%31420.595238%20.595238%20.6%173520.414673%20.414673%20.4%384619.942197%19.942197%19.9%552719.841270%19.841270%19.8%50818.784916%18.784916%18.8%538918.409212%18.409212%18.4%7,97818.409212%18.409212%18.4%7,97816.990291%16.990291%17.0%1751016.569038%16.569038%16.6%1981115.922108%15.922108%15.9%2781215.625000%15.625000%15.6%5101315.534383%15.534383%15.5%7501414.947368%14.947368%14.9%1421514.263384%14.263384%14.3%3651613.128674%13.128674%13.1%2011711.783961%11.783961%11.8%721811.302211%11.302211%11.3%921911.111111%11.111111%11.1%422011.090226%11.090226%11.1%118217.520000%7.520000%7.5%47225.901116%5.901116%5.9%37230.263852%0.263852%0.3%124
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
0%2%4%6%8%10%Count#Ludlow TownshipLudlowFearing TownshipFearingUnited States of AmericaUnited StatesMariettaSalem TownshipSalemMidwestEast North CentralOhioAdams TownshipAdamsMuskingum TownshipMuskingumBelpre TownshipBelpreMarietta Metro AreaMarietta AreaWashington CountyWashingtonDunham TownshipDunhamNewport TownshipNewportBarlow TownshipBarlowBelpreMarietta TownshipMariettaWaterford TownshipWaterfordWarren TownshipWarrenGrandview TownshipGrandviewWatertown TownshipWatertownFairfield TownshipFairfieldDecatur TownshipDecaturLiberty TownshipLibertyWesley TownshipWesleyLawrence TownshipLawrencePalmer TownshipPalmerAurelius TownshipAureliusIndependence TownshipIndependence10.135135%10.135135%10.1%1515.229794%5.229794%5.2%3323.336158%3.336158%3.3%7,127,6737.13M3.230016%3.230016%3.2%29733.095238%3.095238%3.1%2642.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.594142%2.594142%2.6%3152.090592%2.090592%2.1%6661.990223%1.990223%2.0%5771.589865%1.589865%1.6%6891.589865%1.589865%1.6%6891.489118%1.489118%1.5%2681.175702%1.175702%1.2%1891.169591%1.169591%1.2%22101.056338%1.056338%1.1%51110.643382%0.643382%0.6%21120.508011%0.508011%0.5%13130.469653%0.469653%0.5%13140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%024
Count number of people in category
# rank of county subdivision out of 24 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#50

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 Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
Female
Male
10x5x0x5x10xFM#IndependenceDecaturLawrenceAureliusDunhamSalemBelpreLibertyWarrenMariettaMuskingumFearingNewportPalmerWaterfordMariettaMidwestEast North CentralMarietta AreaWashingtonUnited StatesOhioBelpreGrandviewAdamsLudlowBarlowFairfieldWatertownWesley-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.111%11.1%1-1.000000x-1.000000x3.005889x3.005889x3.01x3.233%3.23%9.717%9.72%2-1.000000x-1.000000x2.831111x2.831111x2.83x7.509%7.51%21.257%21.3%3-1.000000x-1.000000x2.285104x2.285104x2.29x9.137%9.14%20.879%20.9%4-1.000000x-1.000000x2.011616x2.011616x2.01x9.736%9.74%19.584%19.6%5-1.000000x-1.000000x1.848274x1.848274x1.85x5.398%5.40%9.978%9.98%6-1.000000x-1.000000x1.625759x1.625759x1.63x6.120%6.12%9.949%9.95%7-1.000000x-1.000000x1.594118x1.594118x1.59x3.321%3.32%5.294%5.29%8-1.000000x-1.000000x1.548997x1.548997x1.55x5.061%5.06%7.839%7.84%9-1.000000x-1.000000x1.472080x1.472080x1.47x8.458%8.46%12.451%12.5%10-1.000000x-1.000000x1.422721x1.422721x1.42x4.742%4.74%6.746%6.75%11-1.000000x-1.000000x1.326272x1.326272x1.33x6.832%6.83%9.061%9.06%12-1.000000x-1.000000x1.257971x1.257971x1.26x4.803%4.80%6.043%6.04%13-1.000000x-1.000000x1.246073x1.246073x1.25x5.882%5.88%7.330%7.33%14-1.000000x-1.000000x1.162200x1.162200x1.16x8.971%8.97%10.427%10.4%15-1.000000x-1.000000x1.132670x1.132670x1.13x9.607%9.61%10.881%10.9%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.041058x-1.041058x1.04x1.000000x1.000000x13.435%13.4%12.905%12.9%17-1.071867x-1.071867x1.07x1.000000x1.000000x12.583%12.6%11.739%11.7%18-1.170693x-1.170693x1.17x1.000000x1.000000x11.581%11.6%9.892%9.89%19-1.302773x-1.302773x1.30x1.000000x1.000000x32.203%32.2%24.719%24.7%20-1.406552x-1.406552x1.41x1.000000x1.000000x9.549%9.55%6.789%6.79%21-2.200642x-2.200642x2.20x1.000000x1.000000x20.789%20.8%9.447%9.45%22-3.610456x-3.610456x3.61x1.000000x1.000000x13.747%13.7%3.808%3.81%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x36.170%36.2%0.000%0%24
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 24 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

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 Washington County, selected county subdivisions in Washington County, and entities that contain Washington County
Female
Male
10x5x0x5x10xFM#BelpreBarlowNewportSalemLudlowMuskingumBelpreMarietta AreaWashingtonMariettaOhioWaterfordEast North CentralMidwestUnited StatesDunhamFearingMariettaWarrenAdams-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.139%4.14%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.371%2.37%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.133%2.13%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.765%5.76%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%16.854%16.9%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.243%0.24%4.101%4.10%6-1.000000x-1.000000x3.512224x3.512224x3.51x0.493%0.49%1.733%1.73%7-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%-1.000000x-1.000000x2.103503x2.103503x2.10x2.146%2.15%4.514%4.51%8-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.634123x1.634123x1.63x0.387%0.39%0.632%0.63%9-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.098558x-1.098558x1.10x1.000000x1.000000x1.563%1.56%1.422%1.42%10-2.559006x-2.559006x2.56x1.000000x1.000000x7.453%7.45%2.913%2.91%11-3.731588x-3.731588x3.73x1.000000x1.000000x0.978%0.98%0.262%0.26%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.927%0.93%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.851%4.85%0.000%0%14
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 14 by male-to-female sex ratio

Educational Attainment by County in Ohio

There are 88 counties in Ohio. This section compares Washington County to the 50 most populous counties in Ohio and to those entities that contain or substantially overlap with Washington County. The least populous of the compared counties has a population of 48,949.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Washington County, selected other counties in Ohio, and entities that contain Washington County
0%5%10%15%Count#Scioto CountySciotoWayne CountyWayneAshtabula CountyAshtabulaLawrence CountyLawrenceRoss CountyRossTuscarawas CountyTuscarawasMuskingum CountyMuskingumMarion CountyMarionUnited States of AmericaUnited StatesPickaway CountyPickawayRichland CountyRichlandClark CountyClarkAshland CountyAshlandColumbiana CountyColumbianaHuron CountyHuronCuyahoga CountyCuyahogaLucas CountyLucasTrumbull CountyTrumbullDarke CountyDarkeMiami CountyMiamiLorain CountyLorainEast North CentralAllen CountyAllenSandusky CountySanduskyOhioKnox CountyKnoxClermont CountyClermontMontgomery CountyMontgomeryAthens CountyAthensButler CountyButlerMidwestBelmont CountyBelmontJefferson CountyJeffersonMahoning CountyMahoningHamilton CountyHamiltonMarietta Metro AreaMarietta AreaWashington CountyWashingtonFranklin CountyFranklinLicking CountyLickingStark CountyStarkErie CountyErieShelby CountyShelbySeneca CountySenecaSummit CountySummitGeauga CountyGeaugaFairfield CountyFairfieldPortage CountyPortageUnion CountyUnionLake CountyLakeHancock CountyHancockGreene CountyGreeneWarren CountyWarrenMedina CountyMedinaWood CountyWoodDelaware CountyDelaware15.880426%15.880426%15.9%8,436114.573422%14.573422%14.6%11,02811.0k214.566860%14.566860%14.6%10,02210.0k314.348435%14.348435%14.3%6,144414.253056%14.253056%14.3%7,731514.068037%14.068037%14.1%9,011613.498115%13.498115%13.5%7,842713.413630%13.413630%13.4%6,192813.020590%13.020590%13.0%27,818,38027.8M12.917789%12.917789%12.9%5,036912.809922%12.809922%12.8%10,88610.9k1012.792826%12.792826%12.8%11,88311.9k1112.567763%12.567763%12.6%4,4281212.374124%12.374124%12.4%9,3021312.286515%12.286515%12.3%4,8201411.473065%11.473065%11.5%100,034100k1511.204220%11.204220%11.2%32,51732.5k1611.138115%11.138115%11.1%16,17816.2k1711.073863%11.073863%11.1%3,9311810.912923%10.912923%10.9%7,8191910.838036%10.838036%10.8%22,53022.5k2010.719464%10.719464%10.7%3,363,7843.36M10.716657%10.716657%10.7%7,4262110.672042%10.672042%10.7%4,3942210.514146%10.514146%10.5%825,155825k10.433639%10.433639%10.4%4,1242310.407526%10.407526%10.4%14,16114.2k2410.369633%10.369633%10.4%37,59537.6k2510.342892%10.342892%10.3%3,6862610.314030%10.314030%10.3%24,52824.5k2710.244520%10.244520%10.2%4,641,8354.64M10.147068%10.147068%10.1%5,1542810.108764%10.108764%10.1%4,833299.896656%9.896656%9.9%16,29916.3k309.873275%9.873275%9.9%53,29153.3k319.795325%9.795325%9.8%4,2459.795325%9.795325%9.8%4,245329.640656%9.640656%9.6%78,29978.3k339.609394%9.609394%9.6%10,95011.0k349.565083%9.565083%9.6%24,75324.8k359.415905%9.415905%9.4%5,057369.300022%9.300022%9.3%3,004379.244310%9.244310%9.2%3,424389.016560%9.016560%9.0%33,82433.8k398.928599%8.928599%8.9%5,691408.257364%8.257364%8.3%8,306418.081706%8.081706%8.1%8,364428.064021%8.064021%8.1%2,892438.051408%8.051408%8.1%13,15613.2k447.505079%7.505079%7.5%3,842457.394980%7.394980%7.4%8,066467.119778%7.119778%7.1%10,53310.5k476.360906%6.360906%6.4%7,689485.919879%5.919879%5.9%4,714493.378461%3.378461%3.4%4,15050
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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected other counties in Ohio, and entities that contain Washington County
0%10%20%30%40%50%Count#Delaware CountyDelawareWarren CountyWarrenFranklin CountyFranklinGreene CountyGreeneGeauga CountyGeaugaHamilton CountyHamiltonWood CountyWoodMedina CountyMedinaCuyahoga CountyCuyahogaSummit CountySummitUnited States of AmericaUnited StatesButler CountyButlerAthens CountyAthensUnion CountyUnionMidwestEast North CentralClermont CountyClermontPortage CountyPortageLake CountyLakeOhioFairfield CountyFairfieldMontgomery CountyMontgomeryHancock CountyHancockLucas CountyLucasLorain CountyLorainLicking CountyLickingMahoning CountyMahoningStark CountyStarkKnox CountyKnoxErie CountyErieWayne CountyWayneMiami CountyMiamiAshland CountyAshlandMarietta Metro AreaMarietta AreaWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullAllen CountyAllenPickaway CountyPickawayShelby CountyShelbyBelmont CountyBelmontRichland CountyRichlandJefferson CountyJeffersonRoss CountyRossMuskingum CountyMuskingumScioto CountySciotoTuscarawas CountyTuscarawasSandusky CountySanduskySeneca CountySenecaLawrence CountyLawrenceColumbiana CountyColumbianaHuron CountyHuronAshtabula CountyAshtabulaDarke CountyDarkeMarion CountyMarion52.455693%52.455693%52.5%64,43564.4k140.956469%40.956469%41.0%60,59160.6k238.352941%38.352941%38.4%311,493311k337.647835%37.647835%37.6%41,06441.1k437.269176%37.269176%37.3%23,75523.8k535.595553%35.595553%35.6%192,127192k631.682783%31.682783%31.7%25,22925.2k731.455422%31.455422%31.5%38,02338.0k830.891280%30.891280%30.9%269,342269k930.713722%30.713722%30.7%115,217115k1030.315023%30.315023%30.3%64,767,78764.8M29.134358%29.134358%29.1%69,28569.3k1129.126214%29.126214%29.1%10,38010.4k1229.091264%29.091264%29.1%10,43310.4k1328.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.618418%27.618418%27.6%37,57937.6k1427.280106%27.280106%27.3%28,23328.2k1527.039780%27.039780%27.0%44,18344.2k1626.667466%26.667466%26.7%2,092,8752.09M26.410442%26.410442%26.4%26,56626.6k1726.143225%26.143225%26.1%94,78294.8k1825.838022%25.838022%25.8%13,22713.2k1925.090190%25.090190%25.1%72,81772.8k2023.488664%23.488664%23.5%48,82848.8k2123.329326%23.329326%23.3%26,58426.6k2222.789814%22.789814%22.8%37,53337.5k2322.631528%22.631528%22.6%58,56758.6k2421.891919%21.891919%21.9%8,6532521.593088%21.593088%21.6%11,59711.6k2621.467650%21.467650%21.5%16,24516.2k2721.063797%21.063797%21.1%15,09215.1k2819.637840%19.637840%19.6%6,9192918.409212%18.409212%18.4%7,97818.409212%18.409212%18.4%7,9783017.966799%17.966799%18.0%16,68916.7k3117.959504%17.959504%18.0%26,08626.1k3217.386787%17.386787%17.4%12,04812.0k3317.306656%17.306656%17.3%6,7473417.089254%17.089254%17.1%5,5203516.407773%16.407773%16.4%8,3343616.395430%16.395430%16.4%13,93313.9k3715.429826%15.429826%15.4%7,3773815.303921%15.303921%15.3%8,3013915.066182%15.066182%15.1%8,7534014.993788%14.993788%15.0%7,9654114.979782%14.979782%15.0%9,5954214.815534%14.815534%14.8%6,1004314.711520%14.711520%14.7%5,4494414.142924%14.142924%14.1%6,0564513.935855%13.935855%13.9%10,47610.5k4613.479480%13.479480%13.5%5,2884713.119186%13.119186%13.1%9,0264813.093695%13.093695%13.1%4,6484912.295828%12.295828%12.3%5,67650
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#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Washington County, selected other counties in Ohio, and entities that contain Washington County
0%1%2%3%4%5%Count#Athens CountyAthensDelaware CountyDelawareGreene CountyGreeneFranklin CountyFranklinHamilton CountyHamiltonCuyahoga CountyCuyahogaWarren CountyWarrenWood CountyWoodUnited States of AmericaUnited StatesGeauga CountyGeaugaSummit CountySummitLucas CountyLucasMidwestEast North CentralOhioUnion CountyUnionPortage CountyPortageKnox CountyKnoxButler CountyButlerMontgomery CountyMontgomeryLicking CountyLickingErie CountyErieMedina CountyMedinaWayne CountyWayneMahoning CountyMahoningLake CountyLakeAllen CountyAllenLorain CountyLorainStark CountyStarkHancock CountyHancockAshland CountyAshlandClermont CountyClermontFairfield CountyFairfieldJefferson CountyJeffersonMarietta Metro AreaMarietta AreaWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullRoss CountyRossScioto CountySciotoLawrence CountyLawrenceMiami CountyMiamiRichland CountyRichlandShelby CountyShelbyPickaway CountyPickawayBelmont CountyBelmontMuskingum CountyMuskingumAshtabula CountyAshtabulaColumbiana CountyColumbianaSandusky CountySanduskySeneca CountySenecaMarion CountyMarionHuron CountyHuronTuscarawas CountyTuscarawasDarke CountyDarke5.390314%5.390314%5.4%1,92115.031057%5.031057%5.0%6,18024.454774%4.454774%4.5%4,85934.335519%4.335519%4.3%35,21235.2k44.198425%4.198425%4.2%22,66122.7k54.184410%4.184410%4.2%36,48436.5k63.623766%3.623766%3.6%5,36173.600402%3.600402%3.6%2,86783.336158%3.336158%3.3%7,127,6737.13M3.260170%3.260170%3.3%2,07893.147959%3.147959%3.1%11,80911.8k102.925012%2.925012%2.9%8,489112.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.506762%2.506762%2.5%899122.505483%2.505483%2.5%2,593132.474321%2.474321%2.5%978142.445209%2.445209%2.4%5,815152.444911%2.444911%2.4%8,864162.283438%2.283438%2.3%2,602172.256689%2.256689%2.3%1,212182.239430%2.239430%2.2%2,707192.226715%2.226715%2.2%1,685202.131251%2.131251%2.1%3,510212.086903%2.086903%2.1%3,410222.046353%2.046353%2.0%1,418232.027141%2.027141%2.0%4,214241.963406%1.963406%2.0%5,081251.906548%1.906548%1.9%976261.867567%1.867567%1.9%658271.832213%1.832213%1.8%2,493281.755659%1.755659%1.8%1,766291.604267%1.604267%1.6%767301.589865%1.589865%1.6%6891.589865%1.589865%1.6%689311.506115%1.506115%1.5%1,399321.396223%1.396223%1.4%2,028331.281319%1.281319%1.3%695341.278190%1.278190%1.3%679351.268099%1.268099%1.3%543361.179360%1.179360%1.2%845371.166143%1.166143%1.2%991381.111421%1.111421%1.1%359391.095293%1.095293%1.1%427401.025732%1.025732%1.0%521410.984560%0.984560%1.0%572420.899709%0.899709%0.9%619430.895268%0.895268%0.9%673440.871931%0.871931%0.9%359450.861254%0.861254%0.9%319460.847017%0.847017%0.8%391470.830997%0.830997%0.8%326480.771236%0.771236%0.8%494490.546510%0.546510%0.5%19450
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#55

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 Washington County, selected other counties in Ohio, and entities that contain Washington County
Female
Male
1x0x1xFM#PickawayWarrenRichlandShelbyAthensHancockMarionClermontLorainTuscarawasDelawareHuronKnoxAshlandMuskingumLucasMahoningTrumbullWayneGeaugaClarkLawrenceDarkeLakeMidwestEast North CentralBelmontAshtabulaMarietta AreaWashingtonUnited StatesOhioMedinaRossSanduskyErieCuyahogaAllenFranklinFairfieldButlerLickingMontgomeryPortageSciotoStarkSenecaHamiltonJeffersonColumbianaGreeneSummitWoodMiamiUnion-1.000000x-1.000000x1.597241x1.597241x1.60x9.831%9.83%15.703%15.7%1-1.000000x-1.000000x1.457031x1.457031x1.46x5.811%5.81%8.466%8.47%2-1.000000x-1.000000x1.428027x1.428027x1.43x10.554%10.6%15.071%15.1%3-1.000000x-1.000000x1.355020x1.355020x1.36x7.910%7.91%10.718%10.7%4-1.000000x-1.000000x1.239662x1.239662x1.24x9.239%9.24%11.453%11.5%5-1.000000x-1.000000x1.228711x1.228711x1.23x6.756%6.76%8.301%8.30%6-1.000000x-1.000000x1.222802x1.222802x1.22x11.988%12.0%14.658%14.7%7-1.000000x-1.000000x1.219059x1.219059x1.22x9.410%9.41%11.471%11.5%8-1.000000x-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%9-1.000000x-1.000000x1.212065x1.212065x1.21x12.766%12.8%15.474%15.5%10-1.000000x-1.000000x1.204437x1.204437x1.20x3.074%3.07%3.703%3.70%11-1.000000x-1.000000x1.201209x1.201209x1.20x11.198%11.2%13.451%13.5%12-1.000000x-1.000000x1.196265x1.196265x1.20x9.533%9.53%11.404%11.4%13-1.000000x-1.000000x1.194357x1.194357x1.19x11.488%11.5%13.721%13.7%14-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%15-1.000000x-1.000000x1.169306x1.169306x1.17x10.373%10.4%12.129%12.1%16-1.000000x-1.000000x1.158437x1.158437x1.16x9.203%9.20%10.662%10.7%17-1.000000x-1.000000x1.157733x1.157733x1.16x10.358%10.4%11.992%12.0%18-1.000000x-1.000000x1.151379x1.151379x1.15x13.576%13.6%15.631%15.6%19-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%20-1.000000x-1.000000x1.150715x1.150715x1.15x11.939%11.9%13.739%13.7%21-1.000000x-1.000000x1.140157x1.140157x1.14x13.451%13.5%15.336%15.3%22-1.000000x-1.000000x1.139879x1.139879x1.14x10.372%10.4%11.823%11.8%23-1.000000x-1.000000x1.134887x1.134887x1.13x7.564%7.56%8.584%8.58%24-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.122752x1.122752x1.12x9.558%9.56%10.731%10.7%25-1.000000x-1.000000x1.121822x1.121822x1.12x13.739%13.7%15.412%15.4%26-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%27-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104033x1.104033x1.10x6.055%6.06%6.685%6.69%28-1.000000x-1.000000x1.090568x1.090568x1.09x13.607%13.6%14.839%14.8%29-1.000000x-1.000000x1.079648x1.079648x1.08x10.276%10.3%11.095%11.1%30-1.000000x-1.000000x1.070676x1.070676x1.07x9.106%9.11%9.749%9.75%31-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%32-1.000000x-1.000000x1.067772x1.067772x1.07x10.371%10.4%11.074%11.1%33-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%34-1.000000x-1.000000x1.047665x1.047665x1.05x8.071%8.07%8.455%8.46%35-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%36-1.000000x-1.000000x1.041562x1.041562x1.04x9.421%9.42%9.813%9.81%37-1.000000x-1.000000x1.037009x1.037009x1.04x10.193%10.2%10.570%10.6%38-1.000000x-1.000000x1.036905x1.036905x1.04x7.939%7.94%8.232%8.23%39-1.000000x-1.000000x1.033630x1.033630x1.03x15.627%15.6%16.153%16.2%40-1.000000x-1.000000x1.031161x1.031161x1.03x9.426%9.43%9.720%9.72%41-1.000000x-1.000000x1.020140x1.020140x1.02x9.155%9.15%9.339%9.34%42-1.000000x-1.000000x1.012905x1.012905x1.01x9.814%9.81%9.941%9.94%43-1.000000x-1.000000x1.004137x1.004137x1.00x10.089%10.1%10.131%10.1%44-1.022047x-1.022047x1.02x1.000000x1.000000x12.509%12.5%12.239%12.2%45-1.030592x-1.030592x1.03x1.000000x1.000000x7.503%7.50%7.280%7.28%46-1.057764x-1.057764x1.06x1.000000x1.000000x9.256%9.26%8.751%8.75%47-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%48-1.131015x-1.131015x1.13x1.000000x1.000000x11.559%11.6%10.220%10.2%49-1.420116x-1.420116x1.42x1.000000x1.000000x9.358%9.36%6.590%6.59%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#56

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 Washington County, selected other counties in Ohio, and entities that contain Washington County
Female
Male
1x0x1x2x3xFM#MiamiColumbianaClarkJeffersonLawrenceAshtabulaMahoningMarietta AreaWashingtonMontgomeryErieLorainBelmontAthensGreeneHancockGeaugaSciotoRichlandPortageDarkeButlerClermontTrumbullAllenCuyahogaOhioStarkWayneWoodAshlandSenecaTuscarawasDelawareFairfieldSummitHamiltonEast North CentralMuskingumMidwestFranklinHuronUnited StatesShelbyUnionRossKnoxWarrenLickingLakeLucasMedinaPickawaySanduskyMarion-1.000000x-1.000000x3.501312x3.501312x3.50x0.534%0.53%1.871%1.87%1-1.000000x-1.000000x3.345227x3.345227x3.35x0.412%0.41%1.379%1.38%2-1.000000x-1.000000x2.838033x2.838033x2.84x0.805%0.80%2.284%2.28%3-1.000000x-1.000000x2.291361x2.291361x2.29x0.992%0.99%2.274%2.27%4-1.000000x-1.000000x2.274678x2.274678x2.27x0.789%0.79%1.795%1.79%5-1.000000x-1.000000x2.235629x2.235629x2.24x0.558%0.56%1.248%1.25%6-1.000000x-1.000000x2.218047x2.218047x2.22x1.350%1.35%2.994%2.99%7-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%8-1.000000x-1.000000x2.146385x2.146385x2.15x1.591%1.59%3.414%3.41%9-1.000000x-1.000000x2.105141x2.105141x2.11x1.473%1.47%3.100%3.10%10-1.000000x-1.000000x2.086342x2.086342x2.09x1.331%1.33%2.776%2.78%11-1.000000x-1.000000x2.063493x2.063493x2.06x0.669%0.67%1.380%1.38%12-1.000000x-1.000000x2.046436x2.046436x2.05x3.542%3.54%7.249%7.25%13-1.000000x-1.000000x2.003204x2.003204x2.00x2.999%3.00%6.008%6.01%14-1.000000x-1.000000x1.977220x1.977220x1.98x1.293%1.29%2.557%2.56%15-1.000000x-1.000000x1.957255x1.957255x1.96x2.227%2.23%4.360%4.36%16-1.000000x-1.000000x1.939604x1.939604x1.94x0.880%0.88%1.706%1.71%17-1.000000x-1.000000x1.868071x1.868071x1.87x0.813%0.81%1.520%1.52%18-1.000000x-1.000000x1.859489x1.859489x1.86x1.765%1.77%3.283%3.28%19-1.000000x-1.000000x1.849233x1.849233x1.85x0.387%0.39%0.716%0.72%20-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%21-1.000000x-1.000000x1.797099x1.797099x1.80x1.322%1.32%2.376%2.38%22-1.000000x-1.000000x1.771358x1.771358x1.77x1.021%1.02%1.808%1.81%23-1.000000x-1.000000x1.732122x1.732122x1.73x1.505%1.50%2.606%2.61%24-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.666317x1.666317x1.67x1.492%1.49%2.486%2.49%26-1.000000x-1.000000x1.658480x1.658480x1.66x1.687%1.69%2.798%2.80%27-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%28-1.000000x-1.000000x1.646276x1.646276x1.65x1.423%1.42%2.343%2.34%29-1.000000x-1.000000x1.645493x1.645493x1.65x0.656%0.66%1.079%1.08%30-1.000000x-1.000000x1.642114x1.642114x1.64x0.589%0.59%0.968%0.97%31-1.000000x-1.000000x1.634773x1.634773x1.63x3.849%3.85%6.292%6.29%32-1.000000x-1.000000x1.623998x1.623998x1.62x1.348%1.35%2.189%2.19%33-1.000000x-1.000000x1.609994x1.609994x1.61x2.442%2.44%3.932%3.93%34-1.000000x-1.000000x1.601589x1.601589x1.60x3.275%3.27%5.245%5.24%35-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%36-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%37-1.000000x-1.000000x1.532147x1.532147x1.53x0.661%0.66%1.013%1.01%38-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522652x1.522652x1.52x0.883%0.88%1.344%1.34%39-1.000000x-1.000000x1.506598x1.506598x1.51x2.027%2.03%3.053%3.05%40-1.000000x-1.000000x1.490387x1.490387x1.49x1.019%1.02%1.519%1.52%41-1.000000x-1.000000x1.481268x1.481268x1.48x2.009%2.01%2.976%2.98%42-1.000000x-1.000000x1.471795x1.471795x1.47x2.940%2.94%4.327%4.33%43-1.000000x-1.000000x1.469621x1.469621x1.47x1.863%1.86%2.738%2.74%44-1.000000x-1.000000x1.461851x1.461851x1.46x1.709%1.71%2.499%2.50%45-1.000000x-1.000000x1.435534x1.435534x1.44x2.425%2.43%3.481%3.48%46-1.000000x-1.000000x1.406400x1.406400x1.41x1.871%1.87%2.631%2.63%47-1.000000x-1.000000x1.250193x1.250193x1.25x0.968%0.97%1.210%1.21%48-1.000000x-1.000000x1.242747x1.242747x1.24x0.780%0.78%0.970%0.97%49-1.000000x-1.000000x1.220919x1.220919x1.22x0.758%0.76%0.925%0.93%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

Educational Attainment by County in the United States

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

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook 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 CostaEast North CentralOhioMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkMarietta Metro AreaMarietta AreaWashington CountyWashingtonFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing 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%274,381274k520.017506%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%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%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%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.795325%9.795325%9.8%4,2459.795325%9.795325%9.8%4,2459.640656%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%50,50850.5k447.543133%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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington County
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 LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralMiami-Dade CountyMiami-DadeBexar CountyBexarOhioPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronxMarietta Metro AreaMarietta AreaWashington CountyWashington60.434640%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%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%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%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.667466%26.667466%26.7%2,092,8752.09M26.349720%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%173,169173k5018.409212%18.409212%18.4%7,97818.409212%18.409212%18.4%7,978
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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Washington County, selected other counties in the United States, and entities that contain Washington County
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 CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensOhioFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronxMarietta Metro AreaMarietta AreaWashington CountyWashington12.399695%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%40,60740.6k273.784527%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%24,10124.1k323.517075%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%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.683241%2.683241%2.7%210,582211k2.392530%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%15,06415.1k501.589865%1.589865%1.6%6891.589865%1.589865%1.6%689
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#60

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 Washington County, selected other counties in the United States, and entities that contain Washington County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMarietta AreaWashingtonMilwaukeeWayneUnited StatesOhioOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan 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-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-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-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%-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-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-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-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-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-1.000000x1.009187x1.009187x1.01x16.504%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%47-1.097207x-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#61

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 Washington County, selected other counties in the United States, and entities that contain Washington County
Female
Male
1x0x1x2xFM#Marietta AreaWashingtonPalm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeOhioBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%-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-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-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-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-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-1.000000x1.475755x1.475755x1.48x3.533%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-1.000000x1.414670x1.414670x1.41x3.162%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-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%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

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

Principal City:
Marietta
Cities:
Belpre, Marietta
Townships:
Adams, Aurelius, Barlow, Belpre, Decatur, Dunham, Fairfield, Fearing, Grandview, Independence, Lawrence, Liberty, Ludlow, Marietta, Muskingum, Newport, Palmer, Salem, Warren, Waterford, Watertown, Wesley
Unincorporated Places:
Devola, Little Hocking, Newport, Reno, Vincent, Waterford
Villages:
Beverly, Lowell, Lower Salem, Macksburg, Matamoras
ZIP Codes:
43787, 45711, 45714, 45715, 45721, 45723, 45724, 45729, 45742, 45744, 45745, 45746, 45750, 45767, 45768, 45773, 45784, 45786, 45787, 45788, 45789
Unified School Districts:
Belpre, Caldwell, Fort Frye, Frontier, Marietta, Morgan, Warren, Wolf Creek
Congressional District:
OH-6
State Senate District:
OH-30
State House Districts:
OH-94, OH-95
Neighboring Counties:
Athens, Monroe, Morgan, Noble, Pleasants, Tyler, Wood
Nearby Counties:
Calhoun, Doddridge, Guernsey, Jackson, Meigs, Muskingum, Perry, Ritchie, Wetzel, Wirt