Educational Attainment in the Washington Township, Franklin County, Ohio (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Franklin County and the Washington Township
Washington Township
Franklin County
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma247.686375%45.145812%47.686375%47.7%74247.557841%45.213532%47.557841%47.6%7404.755784%9.640656%4.755784%4.8%74
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 Franklin County at large.
Scope: population of Franklin County and the Washington Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma25.627461%5.627461%+5.6%47.686%47.7%45.146%45.1%5.184972%5.184972%+5.2%47.558%47.6%45.214%45.2%-50.669499%-50.669499%-50.7%4.756%4.76%9.641%9.64%
% percentage with given level in the Washington Township
ref. percentage with given level in Franklin 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 Franklin County and the Washington Township
Washington Township
Franklin County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None5.526992%1.811679%5.526992%5.5%869.190231%2.523840%9.190231%9.2%14311.568123%9.655308%11.568123%11.6%18013.881748%24.362114%13.881748%13.9%2167.519280%6.792871%7.519280%7.5%11719.023136%20.236033%19.023136%19.0%29628.534704%24.977499%28.534704%28.5%4444.755784%6.564103%4.755784%4.8%740.000000%0.000000%0.0%1.817589%00.000000%0.000000%0.0%1.258965%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Franklin County at large.
Scope: population of Franklin County and the Washington Township
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None205.075776%205.075776%+205.1%5.527%5.53%1.812%1.81%264.136801%264.136801%+264.1%9.190%9.19%2.524%2.52%19.811021%19.811021%+19.8%11.568%11.6%9.655%9.66%-43.019116%-43.019116%-43.0%13.882%13.9%24.362%24.4%10.693699%10.693699%+10.7%7.519%7.52%6.793%6.79%-5.993747%-5.993747%-6.0%19.023%19.0%20.236%20.2%14.241641%14.241641%+14.2%28.535%28.5%24.977%25.0%-27.548602%-27.548602%-27.5%4.756%4.76%6.564%6.56%-100.000000%-100.000000%-100.0%0.000%0%1.818%1.82%-100.000000%-100.000000%-100.0%0.000%0%1.259%1.26%
% percentage with given level in the Washington Township
ref. percentage with given level in Franklin 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 Franklin County and the Washington Township
More Females More Males
Franklin County
Washington Township
50%0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-0.233601%91.501758%91.501758%92%33.837%33.8%64.799%64.8%-88.837209%-0.996633%-88.837209%89%60.233%60.2%31.897%31.9%-79.453994%-79.453994%79%5.904647%5.930%5.93%3.305%3.30%
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 Franklin County and the Washington Township
More Females More Males
Franklin County
Washington Township
1,000%500%0%500%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3661.973180%61.766902%661.973180%662%1.395%1.40%10.632%10.6%15.214352%53.339565%15.214352%15%8.605%8.60%9.914%9.91%-17.391795%47.673115%47.673115%48%9.535%9.53%14.080%14.1%127.616455%3.844257%127.616455%128%8.837%8.84%20.115%20.1%-23.499170%84.030325%84.030325%84%5.465%5.47%10.057%10.1%-1,000.000000%-1,000.000000%> 1000%0.361216%34.419%34.4%0.000%0%-2.109859%23.563218%23.563218%24%25.814%25.8%31.897%31.9%-79.453994%-79.453994%79%10.590238%5.930%5.93%3.305%3.30%
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 Franklin County and the Washington Township
Washington Township
Franklin County
0%10%20%30%40%50%B.X.Total65+45-6435-4425-3415.686275%15.330755%15.686275%15.7%805109.717314%21.603582%9.717314%9.7%555662.915452%26.831250%2.915452%2.9%1034351.824818%31.788067%51.824818%51.8%71137
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 Franklin County at large.
Scope: population of Franklin County and the Washington Township
50%0%50%%ref.65+45-6435-4425-342.318995%2.318995%2.3%15.686%15.7%15.331%15.3%-55.019893%-55.019893%55.0%9.717%9.72%21.604%21.6%-89.134118%-89.134118%89.1%2.915%2.92%26.831%26.8%63.032301%63.032301%63.0%51.825%51.8%31.788%31.8%
% percentage in the Washington Township with a Bachelor's degree
ref percentage in Franklin 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 Franklin County and the Washington Township
More Females More Males
Franklin County
Washington Township
1,000%500%0%500%1,000%FM65+45-6435-4425-34-4.638219%-4.638219%4.6%28.825650%15.986%16.0%15.278%15.3%1,000.000000%4.286587%1,000.000000%> 1000%0.000%0%25.581%25.6%-1,000.000000%-2.407589%-1,000.000000%> 1000%7.692%7.69%0.000%0%-5.170928%347.368421%347.368421%347.4%22.353%22.4%100.000%100%
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 Franklin County and the Washington Township
Washington Township
Franklin County
$0k$20k$40k$60kCount%Graduate Degree1Some CollegeH.S. Diploma2Total$67,019.000000$65,455.000000$67,019.000000$67.0k40926.285%26.3%$34,219.000000$33,379.000000$34,219.000000$34.2k41326.542%26.5%$37,364.000000$27,590.000000$37,364.000000$37.4k44428.535%28.5%$40,175.000000$37,667.000000$40,175.000000$40.2k1,556100.000%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 Franklin County and the Washington Township
Female Male
Franklin County
Washington Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1H.S. Diploma2Total$-54,336.000000$-55,942.000000$-54,336.000000$54.3k$54,336.000000$68,997.000000$55,942.000000$21,708.000000$123,333.000000$123.3k168241$-36,318.000000$-5,325.000000$-23,711.000000$-41,643.000000$41.6k$36,318.000000$23,711.000000$7,553.000000$36,318.000000$36.3k222222$-35,606.000000$-33,476.000000$-35,606.000000$35.6k$35,606.000000$18,319.000000$33,476.000000$8,782.000000$53,925.000000$53.9k860696
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 Franklin County and the Washington Township
Washington Township
Franklin County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma369.612069%86.756017%69.612069%69.6%32397.260274%78.752853%97.260274%97.3%28491.600000%68.256660%91.600000%91.6%2290.000000%0.000000%0.0%49.946044%0
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 Franklin County and the Washington Township
Female Male
Franklin County
Washington Township
Shaded bar tips show excess over facing bar.
10%5%0%5%10%MFWhite1Asian-4.331450%-2.712749%-6.553545%-7.044199%7.0%4.331450%6.553545%1.018230%4.331450%4.3%2351-0.000000%-11.767581%-2.284040%0.000000%0.0%0.000000%0.000000%11.767581%0.000000%0.0%00
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 Franklin County and the Washington Township
Female Male
Franklin County
Washington Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1Asian-14.917127%-42.322762%-14.917127%14.9%14.917127%25.760839%42.322762%1.640257%40.677966%40.7%216108-100.000000%-58.614732%-100.000000%100.0%100.000000%0.000000%58.614732%7.744214%100.000000%100.0%165136
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in the Washington Township

Coarse: Post-Secondary Degree Educational Attainment by Neighborhood#15

Percentage of the population 25 years and older with given highest level of educational attainment
55.3%59.1%62.9%66.7%70.5%74.3%

Coarse: High School Diploma Educational Attainment by Neighborhood#16

Percentage of the population 25 years and older with given highest level of educational attainment
22.4%25.4%28.4%31.3%34.3%37.3%

Coarse: No High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%2.8%3.9%5.1%6.3%7.5%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#18

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%2.6%3.3%3.9%4.6%5.3%

Detailed: Professional Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.9%2.1%3.2%4.3%5.5%6.6%

Detailed: Master's Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
9.9%11.8%13.7%15.6%17.5%19.4%

Detailed: Bachelor's Degree Educational Attainment by Neighborhood#21

Percentage of the population 25 years and older with given highest level of educational attainment
33.1%34.7%36.3%37.9%39.4%41.0%

Detailed: Associate's Degree Educational Attainment by Neighborhood#22

Percentage of the population 25 years and older with given highest level of educational attainment
4.4%5.6%6.7%7.9%9.0%10.2%

Detailed: Some College Educational Attainment by Neighborhood#23

Percentage of the population 25 years and older with given highest level of educational attainment
12.3%13.7%15.1%16.5%18.0%19.4%

Detailed: High School Diploma or Equivalent Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
10.1%11.8%13.5%15.2%16.9%18.6%

Detailed: Some High School Educational Attainment by Neighborhood#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.3%1.9%2.4%2.9%3.5%4.0%

Detailed: Less than High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.49%0.98%1.47%1.97%2.46%

Detailed: None Educational Attainment by Neighborhood#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.21%0.41%0.62%0.83%1.04%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Map of Educational Attainment by Tract in the Washington Township

Coarse: Post-Secondary Degree Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
58%64%70%76%82%89%

Coarse: High School Diploma Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
11.2%16.2%21.2%26.2%31.2%36.2%

Coarse: No High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%1.9%3.5%5.1%6.7%8.4%

Detailed: Doctorate Degree Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%2.8%3.6%4.5%5.3%6.2%

Detailed: Professional Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
2.1%3.6%5.0%6.4%7.8%9.3%

Detailed: Master's Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
12.9%14.8%16.7%18.5%20.3%22.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
30.6%34.5%38.4%42.3%46.2%50.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.0%6.1%7.2%8.4%9.5%10.7%

Detailed: Some College Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
6.9%9.4%11.8%14.2%16.7%19.1%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%7.0%9.6%12.3%14.9%17.6%

Detailed: Some High School Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.3%3.4%4.6%5.8%

Detailed: Less than High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.38%0.76%1.13%1.51%1.90%

Detailed: None Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.21%0.42%0.63%0.85%1.06%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Educational Attainment by Neighborhood in the Washington Township

There are 6 neighborhoods that are fully or partially contained within the Washington Township (0 fully and 6 partially). This section compares all 6 of those to each other, the Washington Township, and other entities that contain or substantially overlap with the Washington Township.

No H.S. Diploma by Neighborhood#41

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected neighborhoods in the Washington Township, and entities that contain the Washington Township
0%5%10%Count#United States of AmericaUnited StatesEast North CentralOhioMidwestFranklin CountyFranklinColumbus Metro AreaColumbus AreaRiverside NeighborhoodRiversideWashington TownshipWashingtonShannon Heights NeighborhoodShannon HtsTuttle NeighborhoodTuttleTuttle West NeighborhoodTuttle WestDexter Falls NeighborhoodDexter FallsSummit View Woods NeighborhoodSummit Vw Wds13.020590%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%4,641,8354.64M9.640656%9.640656%9.6%78,29978.3k9.314501%9.314501%9.3%123,226123k7.469589%7.469589%7.5%48214.755784%4.755784%4.8%743.244240%3.244240%3.2%616223.244240%3.244240%3.2%2632.397934%2.397934%2.4%7641.587791%1.587791%1.6%535451.582278%1.582278%1.6%286
Count number of people in category
# rank of neighborhood out of 6 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#42

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected neighborhoods in the Washington Township, and entities that contain the Washington Township
0%20%40%60%Count#Tuttle NeighborhoodTuttleShannon Heights NeighborhoodShannon HtsDexter Falls NeighborhoodDexter FallsTuttle West NeighborhoodTuttle WestSummit View Woods NeighborhoodSummit Vw WdsRiverside NeighborhoodRiversideWashington TownshipWashingtonFranklin CountyFranklinColumbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesMidwestEast North CentralOhio68.700461%68.700461%68.7%555556268.700461%68.700461%68.7%1,3111,312163.157083%63.157083%63.2%2,1312,132363.130593%63.130593%63.1%2,007457.621308%57.621308%57.6%1,030548.071551%48.071551%48.1%3,102640.167095%40.167095%40.2%62538.352941%38.352941%38.4%311,493311k34.785494%34.785494%34.8%460,194460k30.315023%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%2,092,8752.09M
Count number of people in category
# rank of neighborhood out of 6 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#43

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected neighborhoods in the Washington Township, and entities that contain the Washington Township
0%5%10%Count#Washington TownshipWashingtonTuttle NeighborhoodTuttleShannon Heights NeighborhoodShannon HtsSummit View Woods NeighborhoodSummit Vw WdsDexter Falls NeighborhoodDexter FallsTuttle West NeighborhoodTuttle WestFranklin CountyFranklinColumbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesRiverside NeighborhoodRiversideMidwestEast North CentralOhio14.717224%14.717224%14.7%22911.797235%11.797235%11.8%95111.797235%11.797235%11.8%22529.229958%9.229958%9.2%16538.663481%8.663481%8.7%29244.661829%4.661829%4.7%14854.335519%4.335519%4.3%35,21235.2k3.620928%3.620928%3.6%47,90347.9k3.336158%3.336158%3.3%7,127,6737.13M3.131717%3.131717%3.1%20262.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k
Count number of people in category
# rank of neighborhood out of 6 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 Neighborhood#44

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 the Washington Township, selected neighborhoods in the Washington Township, and entities that contain the Washington Township
Female
Male
1x0x1x2x3xFM#Summit Vw WdsTuttle WestRiversideMidwestEast North CentralUnited StatesOhioColumbus AreaFranklinTuttleShannon HtsWashingtonDexter Falls-1.000000x-1.000000x3.680804x3.680804x3.68x0.680%0.68%2.501%2.50%1-1.000000x-1.000000x1.429636x1.429636x1.43x1.968%1.97%2.813%2.81%2-1.000000x-1.000000x1.393683x1.393683x1.39x6.268%6.27%8.735%8.74%3-1.000000x-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.058229x1.058229x1.06x3.163%3.16%3.347%3.35%5-1.000000x-1.000000x1.058229x1.058229x1.06x3.163%3.16%3.347%3.35%4-1.794540x-1.794540x1.79x1.000000x1.000000x5.930%5.93%3.305%3.30%-1.851593x-1.851593x1.85x1.000000x1.000000x2.074%2.07%1.120%1.12%6
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 6 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#45

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 the Washington Township, selected neighborhoods in the Washington Township, and entities that contain the Washington Township
Female
Male
1x0x1x2xFM#WashingtonTuttleShannon HtsOhioDexter FallsEast North CentralMidwestFranklinColumbus AreaUnited StatesSummit Vw WdsTuttle WestRiverside-1.000000x-1.000000x2.054598x2.054598x2.05x10.000%10.0%20.546%20.5%-1.000000x-1.000000x1.751388x1.751388x1.75x8.863%8.86%15.523%15.5%1-1.000000x-1.000000x1.751388x1.751388x1.75x8.863%8.86%15.523%15.5%2-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.664866x1.664866x1.66x6.472%6.47%10.775%10.8%3-1.000000x-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-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.266092x1.266092x1.27x8.155%8.15%10.325%10.3%4-1.000000x-1.000000x1.189888x1.189888x1.19x4.251%4.25%5.058%5.06%5-1.233552x-1.233552x1.23x1.000000x1.000000x3.450%3.45%2.797%2.80%6
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 6 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Columbus Area

There are 181 county subdivisions in the Columbus Area. This section compares the Washington Township to the 50 most populous county subdivisions in the Columbus Area and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 6,814.

No H.S. Diploma by County Subdivision#46

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected other county subdivisions in the Columbus Area, and entities that contain the Washington Township
0%5%10%15%20%Count#Franklin TownshipFranklinPike TownshipScioto TownshipSciotoWhitehallHamilton TownshipHamiltonCirclevilleLondonUnion TownshipUnionPrairie TownshipPrairieUnited States of AmericaUnited StatesPleasant TownshipPleasantNewarkFalls TownshipFallsLancaster City TownshipLancaster CityWalnut TownshipWalnutJefferson TownshipJeffersonColumbusEast North CentralHeathMonroe TownshipMonroeOhioHarrison TownshipHarrisonMidwestParis TownshipParisFranklin CountyFranklinColumbus Metro AreaColumbus AreaBlendon TownshipBlendonMadison TownshipMadisonPataskalaEtna TownshipTruro TownshipTruroColumbusJackson TownshipJacksonDelaware City TownshipDelaware CityLiberty TownshipLibertyMifflin TownshipMifflinHarrison TownshipHarrisonWashington TownshipWashingtonViolet TownshipVioletBloom TownshipBloomWestervilleNorwich TownshipNorwichJefferson TownshipJeffersonBerlin TownshipBerlinConcord TownshipConcordPlain TownshipPlainWesterville City TownshipWesterville CityBexleyJerome TownshipJeromeSharon TownshipSharonDublinLiberty TownshipLibertyOrange TownshipOrangeGranville TownshipGranvilleGenoa TownshipGenoaUpper ArlingtonGrandview HeightsGrandview Hts24.885541%24.885541%24.9%1,685119.520852%19.520852%19.5%880219.407227%19.407227%19.4%1,434319.347697%19.347697%19.3%2,272415.953777%15.953777%16.0%925515.617892%15.617892%15.6%1,442613.879574%13.879574%13.9%952713.757596%13.757596%13.8%815813.417155%13.417155%13.4%1,558913.020590%13.020590%13.0%27,818,38027.8M13.017397%13.017397%13.0%6511012.943290%12.943290%12.9%4,1061112.793800%12.793800%12.8%1,0071212.375999%12.375999%12.4%3,3311311.694215%11.694215%11.7%5661411.543839%11.543839%11.5%5781511.376979%11.376979%11.4%60,83160.8k1610.719464%10.719464%10.7%3,363,7843.36M10.699701%10.699701%10.7%7861710.520898%10.520898%10.5%5111810.514146%10.514146%10.5%825,155825k10.252270%10.252270%10.3%5081910.244520%10.244520%10.2%4,641,8354.64M10.236565%10.236565%10.2%1,640209.640656%9.640656%9.6%78,29978.3k9.314501%9.314501%9.3%123,226123k8.397699%8.397699%8.4%511218.155569%8.155569%8.2%1,384227.536491%7.536491%7.5%759237.242608%7.242608%7.2%752246.948891%6.948891%6.9%1,259256.732802%6.732802%6.7%414266.480864%6.480864%6.5%1,944276.430658%6.430658%6.4%1,475286.338438%6.338438%6.3%327295.595517%5.595517%5.6%1,408305.490989%5.490989%5.5%326314.755784%4.755784%4.8%743.979966%3.979966%4.0%1,041323.712336%3.712336%3.7%223333.672345%3.672345%3.7%733343.371215%3.371215%3.4%795352.958028%2.958028%3.0%222362.710914%2.710914%2.7%116372.662407%2.662407%2.7%175382.451334%2.451334%2.5%170392.242444%2.242444%2.2%138402.234276%2.234276%2.2%173412.157989%2.157989%2.2%109421.943537%1.943537%1.9%232431.754602%1.754602%1.8%428441.730449%1.730449%1.7%312451.713710%1.713710%1.7%306461.642439%1.642439%1.6%87471.387785%1.387785%1.4%227481.346130%1.346130%1.3%324490.707108%0.707108%0.7%3850
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#47

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in the Columbus Area, and entities that contain the Washington Township
0%20%40%60%Count#DublinBexleyUpper ArlingtonPlain TownshipPlainGrandview HeightsGrandview HtsLiberty TownshipLibertySharon TownshipSharonGenoa TownshipGenoaOrange TownshipOrangeConcord TownshipConcordGranville TownshipGranvilleJerome TownshipJeromeWesterville City TownshipWesterville CityBerlin TownshipBerlinJefferson TownshipJeffersonNorwich TownshipNorwichWestervilleMifflin TownshipMifflinViolet TownshipVioletWashington TownshipWashingtonFranklin CountyFranklinBlendon TownshipBlendonBloom TownshipBloomColumbus Metro AreaColumbus AreaColumbusDelaware City TownshipDelaware CityEtna TownshipHarrison TownshipHarrisonUnited States of AmericaUnited StatesColumbusJackson TownshipJacksonMidwestEast North CentralTruro TownshipTruroParis TownshipParisPataskalaOhioUnion TownshipUnionMonroe TownshipMonroeMadison TownshipMadisonPleasant TownshipPleasantLiberty TownshipLibertyPrairie TownshipPrairieHarrison TownshipHarrisonNewarkHeathWalnut TownshipWalnutLancaster City TownshipLancaster CityFalls TownshipFallsCirclevilleLondonJefferson TownshipJeffersonWhitehallScioto TownshipSciotoPike TownshipHamilton TownshipHamiltonFranklin TownshipFranklin75.246997%75.246997%75.2%18,35518.4k174.092729%74.092729%74.1%5,737274.003905%74.003905%74.0%17,81217.8k371.521269%71.521269%71.5%4,960471.027168%71.027168%71.0%3,817566.605657%66.605657%66.6%12,00912.0k666.390215%66.390215%66.4%7,925765.470441%65.470441%65.5%10,70910.7k862.964830%62.964830%63.0%11,24311.2k962.954511%62.954511%63.0%4,1381062.828016%62.828016%62.8%3,3281157.038210%57.038210%57.0%2,8811256.824829%56.824829%56.8%3,4971356.415050%56.415050%56.4%2,4141455.429714%55.429714%55.4%4,1601553.460266%53.460266%53.5%12,60712.6k1651.127255%51.127255%51.1%10,20510.2k1743.925605%43.925605%43.9%11,05311.1k1843.657287%43.657287%43.7%11,41911.4k1940.167095%40.167095%40.2%62538.352941%38.352941%38.4%311,493311k36.203780%36.203780%36.2%2,2032035.924754%35.924754%35.9%2,1582134.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k2234.119545%34.119545%34.1%7,8262332.129442%32.129442%32.1%3,3362430.907866%30.907866%30.9%1,8352530.315023%30.315023%30.3%64,767,78764.8M29.663360%29.663360%29.7%1,8242628.997200%28.997200%29.0%8,6982728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.878353%27.878353%27.9%5,0512827.476437%27.476437%27.5%4,4022926.968523%26.968523%27.0%2,7163026.667466%26.667466%26.7%2,092,8752.09M23.109386%23.109386%23.1%1,3693122.894791%22.894791%22.9%1,1123221.373011%21.373011%21.4%3,6273321.075785%21.075785%21.1%1,0543420.469083%20.469083%20.5%1,0563518.790906%18.790906%18.8%2,1823618.668012%18.668012%18.7%9253718.053148%18.053148%18.1%5,7273817.438062%17.438062%17.4%1,2813916.880165%16.880165%16.9%8174016.462939%16.462939%16.5%4,4314116.198704%16.198704%16.2%1,2754215.715369%15.715369%15.7%1,4514313.952471%13.952471%14.0%9574413.620931%13.620931%13.6%6824512.671379%12.671379%12.7%1,4884611.056977%11.056977%11.1%8174710.048802%10.048802%10.0%453489.796482%9.796482%9.8%568499.038547%9.038547%9.0%61250
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#48

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected other county subdivisions in the Columbus Area, and entities that contain the Washington Township
0%5%10%15%Count#Upper ArlingtonBexleyWashington TownshipWashingtonPlain TownshipPlainGrandview HeightsGrandview HtsGranville TownshipGranvilleSharon TownshipSharonDublinLiberty TownshipLibertyJerome TownshipJeromeJefferson TownshipJeffersonConcord TownshipConcordOrange TownshipOrangeNorwich TownshipNorwichGenoa TownshipGenoaWestervilleWesterville City TownshipWesterville CityFranklin CountyFranklinEtna TownshipBlendon TownshipBlendonColumbus Metro AreaColumbus AreaMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesBerlin TownshipBerlinDelaware City TownshipDelaware CityViolet TownshipVioletMidwestEast North CentralOhioBloom TownshipBloomUnion TownshipUnionHarrison TownshipHarrisonParis TownshipParisTruro TownshipTruroJackson TownshipJacksonMadison TownshipMadisonMonroe TownshipMonroePataskalaWalnut TownshipWalnutColumbusLiberty TownshipLibertyNewarkHarrison TownshipHarrisonLancaster City TownshipLancaster CityHeathFalls TownshipFallsCirclevillePleasant TownshipPleasantPrairie TownshipPrairieLondonFranklin TownshipFranklinScioto TownshipSciotoPike TownshipJefferson TownshipJeffersonWhitehallHamilton TownshipHamilton16.893099%16.893099%16.9%4,066114.748805%14.748805%14.7%1,142214.717224%14.717224%14.7%22914.534968%14.534968%14.5%1,008313.658355%13.658355%13.7%734413.196149%13.196149%13.2%699510.404624%10.404624%10.4%1,242610.031566%10.031566%10.0%2,44778.879645%8.879645%8.9%1,60188.156801%8.156801%8.2%41297.834777%7.834777%7.8%588107.333029%7.333029%7.3%482117.073253%7.073253%7.1%1,263126.632177%6.632177%6.6%1,564135.422755%5.422755%5.4%887145.145291%5.145291%5.1%1,027154.956126%4.956126%5.0%305164.335519%4.335519%4.3%35,21235.2k4.256958%4.256958%4.3%442173.944125%3.944125%3.9%240183.620928%3.620928%3.6%47,90347.9k3.389898%3.389898%3.4%853193.357865%3.357865%3.4%17,95418.0k203.336158%3.336158%3.3%7,127,6737.13M3.108203%3.108203%3.1%133212.982081%2.982081%3.0%684222.940052%2.940052%2.9%769232.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.596970%2.596970%2.6%156242.329507%2.329507%2.3%138252.280525%2.280525%2.3%113262.159665%2.159665%2.2%346272.102881%2.102881%2.1%381282.063608%2.063608%2.1%619292.044785%2.044785%2.0%347302.038295%2.038295%2.0%99311.737663%1.737663%1.7%175321.611570%1.611570%1.6%78331.317287%1.317287%1.3%81341.221167%1.221167%1.2%63351.182108%1.182108%1.2%375361.162203%1.162203%1.2%69371.159205%1.159205%1.2%312381.157092%1.157092%1.2%85391.105323%1.105323%1.1%87401.093902%1.093902%1.1%101410.939812%0.939812%0.9%47420.878402%0.878402%0.9%102430.845604%0.845604%0.8%58440.827057%0.827057%0.8%56450.825551%0.825551%0.8%61460.621118%0.621118%0.6%28470.599161%0.599161%0.6%30480.425786%0.425786%0.4%50490.120731%0.120731%0.1%750
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#49

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 the Washington Township, selected other county subdivisions in the Columbus Area, and entities that contain the Washington Township
Female
Male
6x4x2x0x2xFM#BerlinPlainSciotoGrandview HtsJeffersonHarrisonPike TownshipConcordJeffersonFallsLibertyJeromeEtna TownshipFranklinUnionWhitehallDelaware CityHeathLondonPrairieLancaster CityMidwestEast North CentralMadisonHamiltonCirclevilleUnited StatesOhioColumbus AreaPataskalaFranklinColumbusNewarkJacksonMifflinNorwichPleasantGenoaLibertyBexleyMonroeWestervilleBlendonUpper ArlingtonHarrisonBloomOrangeDublinTruroColumbusSharonWalnutWashingtonVioletParisWesterville CityGranville-1.000000x-1.000000x3.534140x3.534140x3.53x1.220%1.22%4.310%4.31%1-1.000000x-1.000000x2.629883x2.629883x2.63x1.352%1.35%3.556%3.56%2-1.000000x-1.000000x2.609615x2.609615x2.61x9.040%9.04%23.590%23.6%3-1.000000x-1.000000x2.304788x2.304788x2.30x0.433%0.43%0.998%1.00%4-1.000000x-1.000000x2.116996x2.116996x2.12x1.925%1.92%4.074%4.07%5-1.000000x-1.000000x1.786905x1.786905x1.79x7.497%7.50%13.397%13.4%6-1.000000x-1.000000x1.742201x1.742201x1.74x14.389%14.4%25.069%25.1%7-1.000000x-1.000000x1.714595x1.714595x1.71x1.965%1.96%3.369%3.37%8-1.000000x-1.000000x1.507670x1.507670x1.51x9.251%9.25%13.947%13.9%9-1.000000x-1.000000x1.390745x1.390745x1.39x10.820%10.8%15.048%15.0%10-1.000000x-1.000000x1.376228x1.376228x1.38x5.385%5.38%7.410%7.41%11-1.000000x-1.000000x1.340740x1.340740x1.34x1.846%1.85%2.475%2.48%12-1.000000x-1.000000x1.335507x1.335507x1.34x6.236%6.24%8.328%8.33%13-1.000000x-1.000000x1.325542x1.325542x1.33x21.302%21.3%28.237%28.2%14-1.000000x-1.000000x1.310877x1.310877x1.31x11.876%11.9%15.568%15.6%15-1.000000x-1.000000x1.273148x1.273148x1.27x17.097%17.1%21.767%21.8%16-1.000000x-1.000000x1.236558x1.236558x1.24x5.780%5.78%7.147%7.15%17-1.000000x-1.000000x1.215459x1.215459x1.22x9.732%9.73%11.829%11.8%18-1.000000x-1.000000x1.184141x1.184141x1.18x12.791%12.8%15.147%15.1%19-1.000000x-1.000000x1.155189x1.155189x1.16x12.502%12.5%14.442%14.4%20-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%21-1.000000x-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-1.000000x1.121607x1.121607x1.12x7.715%7.72%8.654%8.65%22-1.000000x-1.000000x1.118404x1.118404x1.12x15.081%15.1%16.867%16.9%23-1.000000x-1.000000x1.114300x1.114300x1.11x14.797%14.8%16.488%16.5%24-1.000000x-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-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.079320x1.079320x1.08x7.269%7.27%7.845%7.85%25-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%26-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%28-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%29-1.057578x-1.057578x1.06x1.000000x1.000000x3.463%3.46%3.274%3.27%30-1.063491x-1.063491x1.06x1.000000x1.000000x13.412%13.4%12.612%12.6%31-1.064171x-1.064171x1.06x1.000000x1.000000x1.430%1.43%1.344%1.34%32-1.069669x-1.069669x1.07x1.000000x1.000000x1.786%1.79%1.670%1.67%33-1.073251x-1.073251x1.07x1.000000x1.000000x2.308%2.31%2.151%2.15%34-1.086161x-1.086161x1.09x1.000000x1.000000x10.956%11.0%10.086%10.1%35-1.099069x-1.099069x1.10x1.000000x1.000000x3.830%3.83%3.485%3.48%36-1.159243x-1.159243x1.16x1.000000x1.000000x8.950%8.95%7.720%7.72%37-1.283067x-1.283067x1.28x1.000000x1.000000x1.500%1.50%1.169%1.17%38-1.294968x-1.294968x1.29x1.000000x1.000000x6.211%6.21%4.797%4.80%39-1.306893x-1.306893x1.31x1.000000x1.000000x4.213%4.21%3.224%3.22%40-1.310439x-1.310439x1.31x1.000000x1.000000x1.935%1.93%1.476%1.48%41-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%42-1.414047x-1.414047x1.41x1.000000x1.000000x8.025%8.03%5.675%5.68%43-1.455501x-1.455501x1.46x1.000000x1.000000x7.866%7.87%5.404%5.40%44-1.481750x-1.481750x1.48x1.000000x1.000000x2.283%2.28%1.540%1.54%45-1.494722x-1.494722x1.49x1.000000x1.000000x13.851%13.9%9.267%9.27%46-1.794540x-1.794540x1.79x1.000000x1.000000x5.930%5.93%3.305%3.30%-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%47-2.016419x-2.016419x2.02x1.000000x1.000000x12.927%12.9%6.411%6.41%48-2.172632x-2.172632x2.17x1.000000x1.000000x3.024%3.02%1.392%1.39%49-7.570273x-7.570273x7.57x1.000000x1.000000x2.883%2.88%0.381%0.38%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#50

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 the Washington Township, selected other county subdivisions in the Columbus Area, and entities that contain the Washington Township
Female
Male
0x5x10xFM#FallsLondonHamiltonJeffersonPike TownshipPleasantLibertyCirclevilleColumbusDelaware CityLancaster CityWestervilleBloomSharonHarrisonHeathWalnutHarrisonLibertyMifflinWashingtonNewarkJeromeConcordGranvillePlainDublinFranklinUpper ArlingtonNorwichTruroOhioBexleyJeffersonEast North CentralMidwestMadisonFranklinColumbus AreaUnited StatesEtna TownshipBlendonBerlinColumbusOrangeJacksonGrandview HtsVioletGenoaPrairieMonroeParisWesterville CityPataskalaUnionWhitehallScioto-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.367%2.37%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.830%1.83%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.247%0.25%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.227%1.23%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.293%1.29%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.906%1.91%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.220%0.22%2.347%2.35%7-1.000000x-1.000000x4.574814x4.574814x4.57x0.400%0.40%1.830%1.83%8-1.000000x-1.000000x3.824499x3.824499x3.82x0.573%0.57%2.190%2.19%9-1.000000x-1.000000x2.782910x2.782910x2.78x1.613%1.61%4.490%4.49%10-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%11-1.000000x-1.000000x2.420464x2.420464x2.42x3.120%3.12%7.551%7.55%12-1.000000x-1.000000x2.407434x2.407434x2.41x1.517%1.52%3.651%3.65%13-1.000000x-1.000000x2.352477x2.352477x2.35x6.431%6.43%15.129%15.1%14-1.000000x-1.000000x2.344320x2.344320x2.34x1.401%1.40%3.284%3.28%15-1.000000x-1.000000x2.253443x2.253443x2.25x0.733%0.73%1.652%1.65%16-1.000000x-1.000000x2.251208x2.251208x2.25x1.014%1.01%2.284%2.28%17-1.000000x-1.000000x2.203299x2.203299x2.20x0.721%0.72%1.588%1.59%18-1.000000x-1.000000x2.163540x2.163540x2.16x5.691%5.69%12.313%12.3%19-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%20-1.000000x-1.000000x2.054598x2.054598x2.05x10.000%10.0%20.546%20.5%-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%21-1.000000x-1.000000x1.911908x1.911908x1.91x5.617%5.62%10.739%10.7%22-1.000000x-1.000000x1.876463x1.876463x1.88x5.109%5.11%9.587%9.59%23-1.000000x-1.000000x1.849712x1.849712x1.85x9.285%9.28%17.174%17.2%24-1.000000x-1.000000x1.848477x1.848477x1.85x10.213%10.2%18.878%18.9%25-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%26-1.000000x-1.000000x1.821032x1.821032x1.82x0.581%0.58%1.057%1.06%27-1.000000x-1.000000x1.802942x1.802942x1.80x12.297%12.3%22.171%22.2%28-1.000000x-1.000000x1.734085x1.734085x1.73x4.889%4.89%8.478%8.48%29-1.000000x-1.000000x1.688068x1.688068x1.69x1.599%1.60%2.699%2.70%30-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.622554x1.622554x1.62x11.419%11.4%18.528%18.5%31-1.000000x-1.000000x1.599641x1.599641x1.60x6.082%6.08%9.728%9.73%32-1.000000x-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-1.000000x1.576121x1.576121x1.58x1.610%1.61%2.537%2.54%33-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.457364x1.457364x1.46x3.489%3.49%5.085%5.09%34-1.000000x-1.000000x1.449489x1.449489x1.45x3.282%3.28%4.757%4.76%35-1.000000x-1.000000x1.429540x1.429540x1.43x2.575%2.57%3.680%3.68%36-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%37-1.000000x-1.000000x1.412405x1.412405x1.41x5.901%5.90%8.334%8.33%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.232696x1.232696x1.23x12.274%12.3%15.131%15.1%40-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%41-1.000000x-1.000000x1.125108x1.125108x1.13x5.111%5.11%5.751%5.75%42-1.004340x-1.004340x1.00x1.000000x1.000000x0.880%0.88%0.876%0.88%43-1.020828x-1.020828x1.02x1.000000x1.000000x2.059%2.06%2.017%2.02%44-1.182723x-1.182723x1.18x1.000000x1.000000x2.307%2.31%1.950%1.95%45-1.269877x-1.269877x1.27x1.000000x1.000000x5.517%5.52%4.345%4.34%46-1.270588x-1.270588x1.27x1.000000x1.000000x1.928%1.93%1.518%1.52%47-1.311831x-1.311831x1.31x1.000000x1.000000x2.651%2.65%2.021%2.02%48-1.806191x-1.806191x1.81x1.000000x1.000000x0.542%0.54%0.300%0.30%49-2.735243x-2.735243x2.74x1.000000x1.000000x1.507%1.51%0.551%0.55%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 Ohio

There are 1,606 county subdivisions in Ohio. This section compares the Washington Township to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 36,945.

No H.S. Diploma by County Subdivision#51

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected other county subdivisions in Ohio, and entities that contain the Washington Township
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColerain TownshipColerainEast North CentralEuclidOhioMidwestParmaFranklin CountyFranklinColumbus Metro AreaColumbus AreaFindlayFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertyWashington TownshipWashingtonSylvania TownshipSylvaniaStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981214.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5222210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M9.939137%9.939137%9.9%5,683239.640656%9.640656%9.6%78,29978.3k9.314501%9.314501%9.3%123,226123k9.003845%9.003845%9.0%2,482248.712972%8.712972%8.7%2,559258.614662%8.614662%8.6%3,080268.597523%8.597523%8.6%2,777277.261193%7.261193%7.3%1,797286.480864%6.480864%6.5%1,944296.307136%6.307136%6.3%1,918306.197364%6.197364%6.2%2,215316.171554%6.171554%6.2%2,311326.109570%6.109570%6.1%2,246335.953744%5.953744%6.0%2,340345.804316%5.804316%5.8%2,402355.764815%5.764815%5.8%1,682365.727981%5.727981%5.7%2,390375.628396%5.628396%5.6%1,554385.595517%5.595517%5.6%1,408395.268752%5.268752%5.3%1,834405.136204%5.136204%5.1%1,169414.755784%4.755784%4.8%744.322119%4.322119%4.3%1,462424.066023%4.066023%4.1%1,313433.979966%3.979966%4.0%1,041443.830735%3.830735%3.8%1,118453.637690%3.637690%3.6%1,496463.351036%3.351036%3.4%978473.293195%3.293195%3.3%815483.105178%3.105178%3.1%1,170491.754602%1.754602%1.8%42850
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#52

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in Ohio, and entities that contain the Washington Township
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonWashington TownshipWashingtonFranklin CountyFranklinColumbus Metro AreaColumbus AreaColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorBoardman TownshipBoardmanUnited States of AmericaUnited StatesUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k157.851139%57.851139%57.9%14,31714.3k256.039061%56.039061%56.0%16,35516.4k352.483891%52.483891%52.5%21,58421.6k451.261976%51.261976%51.3%19,31519.3k550.973364%50.973364%51.0%15,50115.5k650.549209%50.549209%50.5%11,50511.5k747.424805%47.424805%47.4%19,78819.8k846.115414%46.115414%46.1%15,59915.6k944.614765%44.614765%44.6%14,40714.4k1043.925605%43.925605%43.9%11,05311.1k1143.657287%43.657287%43.7%11,41911.4k1243.651053%43.651053%43.7%16,04716.0k1342.654835%42.654835%42.7%11,77711.8k1441.432243%41.432243%41.4%12,09212.1k1540.167095%40.167095%40.2%62538.352941%38.352941%38.4%311,493311k34.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k1633.783048%33.783048%33.8%64,52964.5k1733.391853%33.391853%33.4%13,12413.1k1833.138386%33.138386%33.1%12,40912.4k1932.914482%32.914482%32.9%13,62113.6k2032.380180%32.380180%32.4%11,57311.6k2132.238789%32.238789%32.2%11,22211.2k2231.219796%31.219796%31.2%9,1092330.315023%30.315023%30.3%64,767,78764.8M29.613003%29.613003%29.6%9,5652428.997200%28.997200%29.0%8,6982528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882626.954091%26.954091%27.0%6,6522726.775738%26.775738%26.8%7,3812826.713842%26.713842%26.7%9,5512926.667466%26.667466%26.7%2,092,8752.09M22.834168%22.834168%22.8%5,6513021.665661%21.665661%21.7%8,6163120.614221%20.614221%20.6%6,8133220.213821%20.213821%20.2%26,69726.7k3319.988457%19.988457%20.0%11,42911.4k3418.053148%18.053148%18.1%5,7273518.048021%18.048021%18.0%33,17133.2k3617.635555%17.635555%17.6%15,51115.5k3716.631922%16.631922%16.6%5,1063816.462939%16.462939%16.5%4,4313916.073076%16.073076%16.1%40,94640.9k4015.411739%15.411739%15.4%5,5514115.075315%15.075315%15.1%6,1454214.851256%14.851256%14.9%5,7664314.608666%14.608666%14.6%6,8244413.812631%13.812631%13.8%4,4884512.832476%12.832476%12.8%3,4934612.044055%12.044055%12.0%5,2604711.718579%11.718579%11.7%4,8124811.460139%11.460139%11.5%2,6454910.478559%10.478559%10.5%3,24550
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#53

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected other county subdivisions in Ohio, and entities that contain the Washington Township
0%5%10%Count#Washington TownshipWashingtonCleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleFranklin CountyFranklinDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringColumbus Metro AreaColumbus AreaLiberty TownshipLibertyMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesPlain TownshipPlainBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkronJackson TownshipJacksonClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarion14.717224%14.717224%14.7%22910.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.335519%4.335519%4.3%35,21235.2k4.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%3.778338%3.8%1,485133.620928%3.620928%3.6%47,90347.9k3.514938%3.514938%3.5%800143.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.336158%3.336158%3.3%7,127,6737.13M3.036372%3.036372%3.0%1,137172.957809%2.957809%3.0%863182.940052%2.940052%2.9%769192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.481744%2.481744%2.5%887212.476862%2.476862%2.5%1,025222.451477%2.451477%2.5%605232.163955%2.163955%2.2%2,858242.063608%2.063608%2.1%619251.927780%1.927780%1.9%4,911261.815622%1.815622%1.8%632271.815530%1.815530%1.8%722281.762090%1.762090%1.8%630291.675978%1.675978%1.7%462301.642065%1.642065%1.6%3,018311.545396%1.545396%1.5%600321.477698%1.477698%1.5%434331.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.257490%1.257490%1.3%1,106371.245933%1.245933%1.2%582381.241352%1.241352%1.2%506391.238390%1.238390%1.2%400401.236490%1.236490%1.2%707411.182108%1.182108%1.2%375421.159205%1.159205%1.2%312431.104887%1.104887%1.1%359440.996743%0.996743%1.0%306450.964372%0.964372%1.0%396460.952302%0.952302%1.0%343470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.720098%0.720098%0.7%22350
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#54

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 the Washington Township, selected other county subdivisions in Ohio, and entities that contain the Washington Township
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainMarionYoungstownColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioColumbus AreaLimaParmaFranklinColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanWashingtonViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.332397x1.332397x1.33x2.666%2.67%3.552%3.55%4-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%7.70%9.573%9.57%5-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%6-1.000000x-1.000000x1.222843x1.222843x1.22x8.133%8.13%9.946%9.95%7-1.000000x-1.000000x1.207850x1.207850x1.21x16.045%16.0%19.380%19.4%8-1.000000x-1.000000x1.204406x1.204406x1.20x14.131%14.1%17.020%17.0%9-1.000000x-1.000000x1.194114x1.194114x1.19x15.554%15.6%18.574%18.6%10-1.000000x-1.000000x1.175447x1.175447x1.18x10.032%10.0%11.792%11.8%11-1.000000x-1.000000x1.173903x1.173903x1.17x5.370%5.37%6.304%6.30%12-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%13-1.000000x-1.000000x1.166450x1.166450x1.17x12.379%12.4%14.439%14.4%14-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%15-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%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-1.000000x1.124452x1.124452x1.12x16.027%16.0%18.022%18.0%17-1.000000x-1.000000x1.124390x1.124390x1.12x14.230%14.2%16.000%16.0%18-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%19-1.000000x-1.000000x1.109752x1.109752x1.11x14.885%14.9%16.518%16.5%20-1.000000x-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-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.087544x1.087544x1.09x15.592%15.6%16.957%17.0%21-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%22-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%24-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%25-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%26-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%28-1.000000x-1.000000x1.027725x1.027725x1.03x6.093%6.09%6.262%6.26%29-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%30-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%31-1.000000x-1.000000x1.021443x1.021443x1.02x7.189%7.19%7.344%7.34%32-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%33-1.000000x-1.000000x1.006889x1.006889x1.01x3.818%3.82%3.844%3.84%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%36-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%37-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%40-1.123601x-1.123601x1.12x1.000000x1.000000x9.091%9.09%8.091%8.09%41-1.132510x-1.132510x1.13x1.000000x1.000000x6.567%6.57%5.799%5.80%42-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%43-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%44-1.295653x-1.295653x1.30x1.000000x1.000000x13.964%14.0%10.778%10.8%45-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%46-1.505212x-1.505212x1.51x1.000000x1.000000x7.040%7.04%4.677%4.68%47-1.641786x-1.641786x1.64x1.000000x1.000000x4.457%4.46%2.715%2.71%48-1.660386x-1.660386x1.66x1.000000x1.000000x7.066%7.07%4.256%4.26%49-1.794540x-1.794540x1.79x1.000000x1.000000x5.930%5.93%3.305%3.30%-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%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#55

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 the Washington Township, selected other county subdivisions in Ohio, and entities that contain the Washington Township
Female
Male
1x0x1x2x3xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinWashingtonPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestFranklinColumbus AreaWarrenUnited StatesLibertyParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsLima-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%2-1.000000x-1.000000x2.977263x2.977263x2.98x3.534%3.53%10.523%10.5%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.780060x2.780060x2.78x1.621%1.62%4.507%4.51%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%7-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%8-1.000000x-1.000000x2.437656x2.437656x2.44x0.991%0.99%2.417%2.42%9-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%10-1.000000x-1.000000x2.183841x2.183841x2.18x3.386%3.39%7.394%7.39%11-1.000000x-1.000000x2.155653x2.155653x2.16x2.468%2.47%5.319%5.32%12-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%13-1.000000x-1.000000x2.054598x2.054598x2.05x10.000%10.0%20.546%20.5%-1.000000x-1.000000x2.024516x2.024516x2.02x2.059%2.06%4.169%4.17%14-1.000000x-1.000000x2.007898x2.007898x2.01x4.457%4.46%8.948%8.95%15-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%16-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%17-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%18-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%19-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%20-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%21-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%22-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%23-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%24-1.000000x-1.000000x1.691857x1.691857x1.69x1.833%1.83%3.102%3.10%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%26-1.000000x-1.000000x1.650301x1.650301x1.65x0.820%0.82%1.353%1.35%27-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%28-1.000000x-1.000000x1.627164x1.627164x1.63x1.044%1.04%1.699%1.70%29-1.000000x-1.000000x1.624128x1.624128x1.62x3.883%3.88%6.306%6.31%30-1.000000x-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-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%32-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%33-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%34-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%35-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%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 Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Washington Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#56

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthOhioMidwestLawrence TownshipLawrenceSioux FallsFranklin CountyFranklinColumbus Metro AreaColumbus AreaCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonWashington TownshipWashingtonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.640656%9.640656%9.6%78,29978.3k9.314501%9.314501%9.3%123,226123k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.755784%4.755784%4.8%744.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
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#57

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipWashington TownshipWashingtonSt. PaulMaine TownshipMaineFranklin CountyFranklinFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbus Metro AreaColumbus AreaColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1440.167095%40.167095%40.2%62539.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.352941%38.352941%38.4%311,493311k38.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%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#58

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
0%5%10%15%Count#Ann ArborWashington TownshipWashingtonMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoFranklin CountyFranklinCapital TownshipCapitalOmahaMaine TownshipMaineColumbus Metro AreaColumbus AreaPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k114.717224%14.717224%14.7%2299.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.335519%4.335519%4.3%35,21235.2k4.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.620928%3.620928%3.6%47,90347.9k3.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.683241%2.683241%2.7%210,582211k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
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#59

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 the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioColumbus AreaWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaFranklinColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineWashington-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50-1.794540x-1.794540x1.79x1.000000x1.000000x5.930%5.93%3.305%3.30%
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#60

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 the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
Female
Male
1x0x1x2xFM#RockfordNWashingtonDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityFranklinColumbus AreaAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x2.054598x2.054598x2.05x10.000%10.0%20.546%20.5%-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%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 the Washington Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#61

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
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 VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralOhioSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonFranklin CountyFranklinAtlantaColumbus Metro AreaColumbus AreaSeattleNortheast TarrantNE TarrantPlanoSeattle EastWashington TownshipWashington28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%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%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.640656%9.640656%9.6%78,29978.3k9.538552%9.538552%9.5%37,37337.4k469.314501%9.314501%9.3%123,226123k8.833573%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%20,32620.3k504.755784%4.755784%4.8%74
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#62

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteWashington TownshipWashingtonTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantFranklin CountyFranklinNorthwest HarrisNW HarrisChicagoColumbus Metro AreaColumbus AreaColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiFort WorthSouthwest 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%223,068223k1240.167095%40.167095%40.2%62538.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1538.352941%38.352941%38.4%311,493311k36.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%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%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
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#63

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
0%5%10%Count#Washington TownshipWashingtonWashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadFranklin CountyFranklinTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaColumbus Metro AreaColumbus AreaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensOhioNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit14.717224%14.717224%14.7%22912.461852%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%23,19423.2k184.335519%4.335519%4.3%35,21235.2k4.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.620928%3.620928%3.6%47,90347.9k3.601468%3.601468%3.6%45,61045.6k253.490252%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%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.683241%2.683241%2.7%210,582211k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%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#64

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 the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesOhioColumbus AreaNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonFranklinSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl PasoWashington-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-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-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-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50-1.794540x-1.794540x1.79x1.000000x1.000000x5.930%5.93%3.305%3.30%
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#65

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 the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
Female
Male
1x0x1x2xFM#El PasoWashingtonSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOhioOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasFranklinColumbus AreaSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-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-1.000000x2.054598x2.054598x2.05x10.000%10.0%20.546%20.5%-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-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Ohio
County:
Franklin
Metro Area:
Columbus Area
City:
Hilliard
ZIP Codes:
43002, 43016, 43017, 43026, 43064, 43221
Unified School Districts:
Columbus, Dublin, Hilliard, Jonathan Alder
Neighborhoods:
Dexter Falls, Riverside, Shannon Heights, Summit View Woods, Tuttle, Tuttle West
Congressional Districts:
OH-12, OH-15
State Senate District:
OH-16
State House Districts:
OH-21, OH-24
Neighboring Townships:
Brown, Canaan, Darby, Jerome, Norwich
Nearby Townships:
Concord, Darby, Liberty, Millcreek, Perry, Prairie, Washington