Educational Attainment in Butler County, Ohio (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ohio and Butler County
Butler County
Ohio
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma236.837502%35.063314%36.837502%36.8%87,60487.6k52.848469%54.422540%52.848469%52.8%125,680126k10.314030%10.514146%10.314030%10.3%24,52824.5k
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Ohio at large.
Scope: population of Ohio and Butler County
-5%0%+5%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma25.059955%5.059955%+5.1%36.838%36.8%35.063%35.1%-2.892316%-2.892316%-2.9%52.848%52.8%54.423%54.4%-1.903305%-1.903305%-1.9%10.314%10.3%10.514%10.5%
% percentage with given level in Butler County
ref. percentage with given level in Ohio
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Ohio and Butler County
Butler County
Ohio
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.422973%1.076166%1.422973%1.4%3,3841.022236%1.607075%1.022236%1.0%2,4317.883538%7.279494%7.883538%7.9%18,74818.7k18.805611%16.704731%18.805611%18.8%44,72244.7k7.703144%8.395848%7.703144%7.7%18,31918.3k19.545692%20.603422%19.545692%19.5%46,48246.5k33.302777%33.819119%33.302777%33.3%79,19879.2k7.275915%7.545636%7.275915%7.3%17,30317.3k2.200898%2.095069%2.200898%2.2%5,2340.837216%0.873440%0.837216%0.8%1,991
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Ohio at large.
Scope: population of Ohio and Butler County
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None32.226145%32.226145%+32.2%1.423%1.42%1.076%1.08%-36.391523%-36.391523%-36.4%1.022%1.02%1.607%1.61%8.297895%8.297895%+8.3%7.884%7.88%7.279%7.28%12.576556%12.576556%+12.6%18.806%18.8%16.705%16.7%-8.250557%-8.250557%-8.3%7.703%7.70%8.396%8.40%-5.133759%-5.133759%-5.1%19.546%19.5%20.603%20.6%-1.526775%-1.526775%-1.5%33.303%33.3%33.819%33.8%-3.574527%-3.574527%-3.6%7.276%7.28%7.546%7.55%5.051333%5.051333%+5.1%2.201%2.20%2.095%2.10%-4.147323%-4.147323%-4.1%0.837%0.84%0.873%0.87%
% percentage with given level in Butler County
ref. percentage with given level in Ohio
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Ohio and Butler County
More Females More Males
Ohio
Butler County
5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-3.657681%-7.885240%-3.657681%4%37.473%37.5%36.151%36.2%1.709537%2.984493%1.709537%2%52.418%52.4%53.314%53.3%4.215715%10.536340%4.215715%4%10.109%10.1%10.535%10.5%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Ohio and Butler County
More Females More Males
Ohio
Butler County
50%0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None102.389969%65.373714%102.389969%102%0.954%0.95%1.930%1.93%53.609836%68.015763%53.609836%54%0.813%0.81%1.249%1.25%-7.047562%-21.244079%-7.047562%7%8.141%8.14%7.605%7.61%4.969892%0.726598%4.969892%5%18.367%18.4%19.280%19.3%-51.113761%-39.383112%-51.113761%51%9.198%9.20%6.087%6.09%-1.196447%-0.103999%-1.196447%1%19.657%19.7%19.425%19.4%3.444740%4.911287%3.444740%3%32.760%32.8%33.889%33.9%4.066709%10.693269%4.066709%4%7.136%7.14%7.427%7.43%0.120346%11.385964%0.120346%0%2.200%2.20%2.202%2.20%17.242522%7.203042%17.242522%17%0.773%0.77%0.906%0.91%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Ohio and Butler County
Butler County
Ohio
0%5%10%15%20%B.X.Total65+45-6435-4425-3413.085914%11.168673%13.085914%13.1%6,44949,28249.3k18.992648%15.925332%18.992648%19.0%18,75618.8k98,75498.8k21.123904%19.733657%21.123904%21.1%9,68745,85845.9k22.382622%22.259142%22.382622%22.4%9,83043,91843.9k
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Ohio at large.
Scope: population of Ohio and Butler County
0%5%10%15%%ref.65+45-6435-4425-3417.166239%17.166239%17.2%13.086%13.1%11.169%11.2%19.260615%19.260615%19.3%18.993%19.0%15.925%15.9%7.045056%7.045056%7.0%21.124%21.1%19.734%19.7%0.554739%0.554739%0.6%22.383%22.4%22.259%22.3%
% percentage in Butler County with a Bachelor's degree
ref percentage in Ohio with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Ohio and Butler County
More Females More Males
Ohio
Butler County
20%10%0%10%20%30%40%FM65+45-6435-4425-3446.038913%36.828803%46.038913%46.0%10.885%10.9%15.896%15.9%-0.054549%10.915981%10.915981%10.9%18.031%18.0%19.999%20.0%-9.250884%-14.012939%-9.250884%9.3%22.042%22.0%20.176%20.2%-22.342565%-14.499975%-22.342565%22.3%24.615%24.6%20.120%20.1%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Ohio and Butler County
Butler County
Ohio
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$69,721.000000$63,821.000000$69,721.000000$69.7k24,56324.6k10.329%10.3%$55,337.000000$50,107.000000$55,337.000000$55.3k44,72244.7k18.806%18.8%$36,976.000000$32,706.000000$36,976.000000$37.0k64,80164.8k27.249%27.2%$30,908.000000$28,919.000000$30,908.000000$30.9k79,19879.2k33.303%33.3%$21,615.000000$20,344.000000$21,615.000000$21.6k24,52824.5k10.314%10.3%$39,132.000000$35,841.000000$39,132.000000$39.1k237,812238k100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Ohio and Butler County
Female Male
Ohio
Butler County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-60,013.000000$-55,571.000000$-60,013.000000$60.0k$60,013.000000$24,940.000000$55,571.000000$22,109.000000$84,953.000000$85.0k12,23812.2k12,32512.3k$-41,589.000000$-40,856.000000$-41,589.000000$41.6k$41,589.000000$29,953.000000$40,856.000000$20,405.000000$71,542.000000$71.5k22,68722.7k22,03522.0k$-30,833.000000$-27,361.000000$-30,833.000000$30.8k$30,833.000000$14,402.000000$27,361.000000$13,780.000000$45,235.000000$45.2k35,64335.6k29,15829.2k$-23,816.000000$-22,081.000000$-23,816.000000$23.8k$23,816.000000$13,389.000000$22,081.000000$13,410.000000$37,205.000000$37.2k40,46640.5k38,73238.7k$-15,900.000000$-15,062.000000$-15,900.000000$15.9k$15,900.000000$9,909.000000$15,062.000000$9,409.000000$25,809.000000$25.8k12,48712.5k12,04112.0k$-31,498.000000$-29,749.000000$-31,498.000000$31.5k$31,498.000000$15,745.000000$29,749.000000$12,566.000000$47,243.000000$47.2k123,521124k114,291114k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Ohio and Butler County
Butler County
Ohio
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma327.083333%51.152074%27.083333%27.1%2643.750000%41.442873%43.750000%43.8%4229.166667%7.039568%29.166667%29.2%280.000000%0.000000%0.0%0.365485%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Ohio and Butler County
Butler County
Ohio
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.936759%84.712194%84.936759%84.9%49,62649.6k78.863712%75.098475%78.863712%78.9%42,67042.7k70.016973%67.335954%70.016973%70.0%42,07642.1k48.538012%44.096181%48.538012%48.5%7,719
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Ohio and Butler County
Female Male
Ohio
Butler County
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-9.368173%-8.849949%-9.368173%9.4%9.368173%0.150829%8.849949%0.838407%9.519002%9.5%9,3359,949-9.099826%-14.710486%-9.099826%9.1%9.099826%1.880567%14.710486%2.396424%10.980392%11.0%868835-15.113091%-4.440540%-10.995328%-3.238870%-19.553631%19.6%15.113091%10.995328%15.113091%15.1%441587-27.015559%-23.269744%-27.015559%27.0%27.015559%3.375362%23.269744%5.740390%30.390921%30.4%1,205955-18.011472%-16.869350%-18.011472%18.0%18.011472%5.352272%16.869350%3.904344%23.363745%23.4%589471
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Ohio and Butler County
Female Male
Ohio
Butler County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-28.318267%-27.409880%-28.318267%28.3%28.318267%2.168033%27.409880%0.383981%30.486300%30.5%29,89729.9k30,07430.1k-24.062772%-14.337282%-3.326272%-24.062772%24.1%24.062772%0.997316%14.337282%25.060089%25.1%1,9812,208-46.868754%-55.571247%-46.868754%46.9%46.868754%10.533576%55.571247%11.025101%57.402330%57.4%1,6751,407-10.592686%-6.946211%-15.825016%-4.164425%-17.538897%17.5%10.592686%15.825016%10.592686%10.6%420620-18.365728%-9.091251%-18.226192%-3.481943%-27.456979%27.5%18.365728%18.226192%18.365728%18.4%463718
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Butler County

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

Percentage of the population 25 years and older with given highest level of educational attainment
13%23%32%41%51%61%

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

Percentage of the population 25 years and older with given highest level of educational attainment
31%39%47%54%62%70%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.7%7.4%10.1%12.8%15.5%18.3%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%2.9%5.6%8.3%11.0%13.7%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.41%0.82%1.24%1.65%2.07%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%4.7%7.4%10.1%12.8%15.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5%10%16%21%26%32%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.0%6.2%7.4%8.5%9.7%10.9%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
13.6%15.6%17.6%19.6%21.6%23.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
17%24%31%38%45%52%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%5.3%7.2%9.1%11.1%13.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%1.5%2.2%2.9%3.6%4.3%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.38%0.75%1.13%1.50%1.88%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Butler County

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

Percentage of the population 25 years and older with given highest level of educational attainment
6%20%33%46%59%73%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
21%32%43%53%64%75%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%9%18%26%35%45%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.6%7.3%10.9%14.5%18.2%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.1%3.1%4.2%5.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%15%22%30%38%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%16%25%33%42%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.9%5.7%8.6%11.4%14.3%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
9%19%28%37%46%55%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%11%21%32%42%53%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%13%19%25%32%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.3%4.6%6.9%9.1%11.5%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.5%2.2%2.9%3.7%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Butler County

There are 20 places that are fully or partially contained within Butler County (15 fully and 5 partially). This section compares all 20 of those to each other, Butler County, and other entities that contain or substantially overlap with Butler County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
0%10%20%30%Count#Olde West ChesterOlde W ChesterWilliamsdaleJacksonburgNew MiamiSomervilleMiddletownCollege CornerHamiltonUnited States of AmericaUnited StatesSeven MileRossEast North CentralMillvilleOhioButler CountyButlerMidwestTrentonCincinnati Metro AreaCincinnatiOxfordFairfieldSharonvilleDarrtownMonroeFour BridgesWetheringtonBeckett Ridge32.236842%32.236842%32.2%49129.850746%29.850746%29.9%140227.272727%27.272727%27.3%9327.112914%27.112914%27.1%401420.634921%20.634921%20.6%39517.505092%17.505092%17.5%5,672616.206897%16.206897%16.2%47715.293656%15.293656%15.3%6,234813.020590%13.020590%13.0%27,818,38027.8M11.091854%11.091854%11.1%64910.951374%10.951374%11.0%2591010.719464%10.719464%10.7%3,363,7843.36M10.516605%10.516605%10.5%571110.514146%10.514146%10.5%825,155825k10.314030%10.314030%10.3%24,52824.5k10.244520%10.244520%10.2%4,641,8354.64M10.022156%10.022156%10.0%769129.940523%9.940523%9.9%141,727142k9.287071%9.287071%9.3%538138.712972%8.712972%8.7%2,559148.148861%8.148861%8.1%762157.718121%7.718121%7.7%23166.992682%6.992682%7.0%602174.035088%4.035088%4.0%92181.881720%1.881720%1.9%21191.728964%1.728964%1.7%10520
Count number of people in category
# rank of place out of 20 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
0%20%40%Count#OxfordWetheringtonFour BridgesBeckett RidgeSharonvilleOlde West ChesterOlde W ChesterCincinnati Metro AreaCincinnatiMonroeUnited States of AmericaUnited StatesButler CountyButlerMidwestEast North CentralFairfieldOhioDarrtownRossMiddletownMillvilleHamiltonSeven MileTrentonSomervilleCollege CornerNew MiamiJacksonburgWilliamsdale58.777835%58.777835%58.8%3,405157.616487%57.616487%57.6%643256.535088%56.535088%56.5%1,289356.298370%56.298370%56.3%3,419439.043953%39.043953%39.0%3,651536.184211%36.184211%36.2%55631.723093%31.723093%31.7%452,292452k30.781740%30.781740%30.8%2,650730.315023%30.315023%30.3%64,767,78764.8M29.134358%29.134358%29.1%69,28569.3k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,288826.667466%26.667466%26.7%2,092,8752.09M26.174497%26.174497%26.2%78924.397463%24.397463%24.4%5771016.761311%16.761311%16.8%5,4311116.236162%16.236162%16.2%881215.075315%15.075315%15.1%6,1451314.904679%14.904679%14.9%861414.779096%14.779096%14.8%1,134158.465608%8.465608%8.5%16167.241379%7.241379%7.2%21176.288032%6.288032%6.3%93186.060606%6.060606%6.1%2193.411514%3.411514%3.4%1620
Count number of people in category
# rank of place out of 20 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
0%5%10%15%Count#OxfordFour BridgesOlde West ChesterOlde W ChesterBeckett RidgeSharonvilleWetheringtonUnited States of AmericaUnited StatesCincinnati Metro AreaCincinnatiMidwestEast North CentralOhioButler CountyButlerSeven MileNew MiamiMonroeFairfieldHamiltonMiddletownTrentonRossWilliamsdaleMillvilleCollege CornerDarrtownSomervilleJacksonburg16.485413%16.485413%16.5%95517.807018%7.807018%7.8%17827.236842%7.236842%7.2%1136.290137%6.290137%6.3%38244.544968%4.544968%4.5%42553.673835%3.673835%3.7%4163.336158%3.336158%3.3%7,127,6737.13M3.129371%3.129371%3.1%44,61744.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.445209%2.445209%2.4%5,8152.079723%2.079723%2.1%1271.690331%1.690331%1.7%2581.672668%1.672668%1.7%14491.477698%1.477698%1.5%434101.241352%1.241352%1.2%506110.944386%0.944386%0.9%306120.821061%0.821061%0.8%63130.591966%0.591966%0.6%14140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of place out of 20 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
Female
Male
0x5x10xFM#Olde W ChesterDarrtownMillvilleSomervilleCollege CornerRossWilliamsdaleFour BridgesFairfieldMidwestEast North CentralMiddletownCincinnatiUnited StatesOhioTrentonButlerJacksonburgSharonvilleHamiltonBeckett RidgeSeven MileNew MiamiOxfordMonroeWetherington-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%49.000%49.0%1-1.000000x-1.000000x2.233456x2.233456x2.23x4.938%4.94%11.029%11.0%2-1.000000x-1.000000x1.689168x1.689168x1.69x7.807%7.81%13.187%13.2%3-1.000000x-1.000000x1.398248x1.398248x1.40x16.867%16.9%23.585%23.6%4-1.000000x-1.000000x1.382690x1.382690x1.38x13.725%13.7%18.978%19.0%5-1.000000x-1.000000x1.336720x1.336720x1.34x9.375%9.38%12.532%12.5%6-1.000000x-1.000000x1.231523x1.231523x1.23x26.724%26.7%32.911%32.9%7-1.000000x-1.000000x1.193651x1.193651x1.19x3.701%3.70%4.417%4.42%8-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%9-1.000000x-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-1.000000x1.124404x1.124404x1.12x16.522%16.5%18.577%18.6%10-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-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-1.000000x1.054139x1.054139x1.05x9.775%9.78%10.304%10.3%11-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%-1.000000x-1.000000x1.041667x1.041667x1.04x26.667%26.7%27.778%27.8%12-1.000000x-1.000000x1.018196x1.018196x1.02x8.077%8.08%8.224%8.22%13-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%14-1.045311x-1.045311x1.05x1.000000x1.000000x1.767%1.77%1.690%1.69%15-1.122913x-1.122913x1.12x1.000000x1.000000x11.688%11.7%10.409%10.4%16-1.155269x-1.155269x1.16x1.000000x1.000000x29.076%29.1%25.168%25.2%17-1.248667x-1.248667x1.25x1.000000x1.000000x10.339%10.3%8.280%8.28%18-1.355296x-1.355296x1.36x1.000000x1.000000x7.946%7.95%5.863%5.86%19-2.036166x-2.036166x2.04x1.000000x1.000000x2.532%2.53%1.243%1.24%20
F percentage of females in category
M percentage of males in category
# rank of place out of 20 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
Female
Male
10x5x0x5x10xFM#Olde W ChesterMiddletownOxfordButlerFour BridgesOhioFairfieldEast North CentralMidwestCincinnatiWetheringtonUnited StatesBeckett RidgeMonroeSeven MileHamiltonSharonvilleTrentonNew MiamiRoss-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.000%11.0%1-1.000000x-1.000000x2.616113x2.616113x2.62x0.533%0.53%1.393%1.39%2-1.000000x-1.000000x2.493780x2.493780x2.49x9.351%9.35%23.319%23.3%3-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%-1.000000x-1.000000x1.722334x1.722334x1.72x5.839%5.84%10.056%10.1%4-1.000000x-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%5-1.000000x-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-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.534747x1.534747x1.53x2.893%2.89%4.440%4.44%6-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.375580x1.375580x1.38x5.301%5.30%7.292%7.29%7-1.000000x-1.000000x1.185025x1.185025x1.19x1.542%1.54%1.827%1.83%8-1.000000x-1.000000x1.144981x1.144981x1.14x1.948%1.95%2.230%2.23%9-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%10-1.160978x-1.160978x1.16x1.000000x1.000000x4.875%4.88%4.199%4.20%11-2.800391x-2.800391x2.80x1.000000x1.000000x1.173%1.17%0.419%0.42%12-4.038043x-4.038043x4.04x1.000000x1.000000x2.717%2.72%0.673%0.67%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.182%1.18%0.000%0%14
F percentage of females in category
M percentage of males in category
# rank of place out of 14 by male-to-female sex ratio

Educational Attainment by County Subdivision in Butler County

There are 17 county subdivisions in Butler County. This section compares all 17 of those to each other, Butler County, and other entities that contain or substantially overlap with Butler County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
0%5%10%15%Count#MiddletownSt. Clair TownshipSt. ClairHamiltonWayne TownshipWayneUnited States of AmericaUnited StatesMadison TownshipMadisonEast North CentralOhioButler CountyButlerMidwestTrentonCincinnati Metro AreaCincinnatiHanover TownshipHanoverLemon TownshipLemonMilford TownshipMilfordFairfieldMorgan TownshipMorganOxford TownshipOxfordRoss TownshipWest Chester TownshipW ChesterLiberty TownshipLibertyReily TownshipReilyFairfield TownshipFairfield18.211726%18.211726%18.2%5,591117.099919%17.099919%17.1%842215.293656%15.293656%15.3%6,234315.000000%15.000000%15.0%495413.020590%13.020590%13.0%27,818,38027.8M11.499176%11.499176%11.5%698510.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.314030%10.314030%10.3%24,52824.5k10.244520%10.244520%10.2%4,641,8354.64M10.022156%10.022156%10.0%76969.940523%9.940523%9.9%141,727142k9.534368%9.534368%9.5%55979.225966%9.225966%9.2%85788.882748%8.882748%8.9%22598.712972%8.712972%8.7%2,559108.317732%8.317732%8.3%311118.275675%8.275675%8.3%610128.065693%8.065693%8.1%442135.727981%5.727981%5.7%2,390145.136204%5.136204%5.1%1,169155.067218%5.067218%5.1%98164.741951%4.741951%4.7%67917
Count number of people in category
# rank of county subdivision out of 17 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
0%20%40%Count#Oxford TownshipOxfordLiberty TownshipLibertyWest Chester TownshipW ChesterRoss TownshipCincinnati Metro AreaCincinnatiUnited States of AmericaUnited StatesFairfield TownshipFairfieldButler CountyButlerMidwestEast North CentralFairfieldLemon TownshipLemonReily TownshipReilyOhioMorgan TownshipMorganMilford TownshipMilfordHanover TownshipHanoverMiddletownWayne TownshipWayneMadison TownshipMadisonHamiltonTrentonSt. Clair TownshipSt. Clair55.026455%55.026455%55.0%4,056150.549209%50.549209%50.5%11,50511.5k247.424805%47.424805%47.4%19,78819.8k332.372263%32.372263%32.4%1,774431.723093%31.723093%31.7%452,292452k30.315023%30.315023%30.3%64,767,78764.8M29.701795%29.701795%29.7%4,253529.134358%29.134358%29.1%69,28569.3k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,288628.097750%28.097750%28.1%2,610726.938987%26.938987%26.9%521826.667466%26.667466%26.7%2,092,8752.09M21.075154%21.075154%21.1%788919.186735%19.186735%19.2%4861017.226676%17.226676%17.2%1,0101116.631922%16.631922%16.6%5,1061215.363636%15.363636%15.4%5071315.189456%15.189456%15.2%9221415.075315%15.075315%15.1%6,1451514.779096%14.779096%14.8%1,134167.961007%7.961007%8.0%39217
Count number of people in category
# rank of county subdivision out of 17 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
0%5%10%15%Count#Oxford TownshipOxfordWest Chester TownshipW ChesterLiberty TownshipLibertyUnited States of AmericaUnited StatesCincinnati Metro AreaCincinnatiMidwestEast North CentralOhioFairfield TownshipFairfieldButler CountyButlerRoss TownshipFairfieldMilford TownshipMilfordLemon TownshipLemonMorgan TownshipMorganHamiltonReily TownshipReilyMadison TownshipMadisonMiddletownSt. Clair TownshipSt. ClairTrentonHanover TownshipHanoverWayne TownshipWayne15.533849%15.533849%15.5%1,14514.100659%4.100659%4.1%1,71123.514938%3.514938%3.5%80033.336158%3.336158%3.3%7,127,6737.13M3.129371%3.129371%3.1%44,61744.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.479223%2.479223%2.5%35542.445209%2.445209%2.4%5,8151.770073%1.770073%1.8%9751.477698%1.477698%1.5%43461.381761%1.381761%1.4%3571.345678%1.345678%1.3%12581.310511%1.310511%1.3%4991.241352%1.241352%1.2%506101.085832%1.085832%1.1%21111.004942%1.004942%1.0%61120.996743%0.996743%1.0%306130.893582%0.893582%0.9%44140.821061%0.821061%0.8%63150.784581%0.784581%0.8%46160.515152%0.515152%0.5%1717
Count number of people in category
# rank of county subdivision out of 17 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
Female
Male
2x1x0x1xFM#ReilyHanoverWayneFairfieldSt. ClairMorganMiddletownMadisonMidwestEast North CentralCincinnatiUnited StatesOhioTrentonButlerRoss TownshipW ChesterLibertyHamiltonMilfordOxfordFairfieldLemon-1.000000x-1.000000x1.700602x1.700602x1.70x3.768%3.77%6.408%6.41%1-1.000000x-1.000000x1.522615x1.522615x1.52x7.544%7.54%11.486%11.5%2-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%3-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%4-1.000000x-1.000000x1.162746x1.162746x1.16x15.815%15.8%18.389%18.4%5-1.000000x-1.000000x1.152509x1.152509x1.15x7.748%7.75%8.930%8.93%6-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%7-1.000000x-1.000000x1.142023x1.142023x1.14x10.723%10.7%12.246%12.2%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-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-1.000000x1.054139x1.054139x1.05x9.775%9.78%10.304%10.3%9-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%-1.000000x-1.000000x1.036350x1.036350x1.04x7.929%7.93%8.218%8.22%10-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%11-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%12-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%13-1.189330x-1.189330x1.19x1.000000x1.000000x9.630%9.63%8.097%8.10%14-1.192103x-1.192103x1.19x1.000000x1.000000x9.013%9.01%7.561%7.56%15-1.600997x-1.600997x1.60x1.000000x1.000000x5.728%5.73%3.578%3.58%16-2.002309x-2.002309x2.00x1.000000x1.000000x12.031%12.0%6.009%6.01%17
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 17 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
Female
Male
0x5x10xFM#HanoverMadisonFairfieldMilfordMiddletownOxfordButlerOhioFairfieldW ChesterEast North CentralMidwestCincinnatiLemonUnited StatesLibertyRoss TownshipHamiltonReilySt. ClairMorganTrentonWayne-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.554%1.55%1-1.000000x-1.000000x8.811255x8.811255x8.81x0.202%0.20%1.777%1.78%2-1.000000x-1.000000x3.276704x3.276704x3.28x1.213%1.21%3.974%3.97%3-1.000000x-1.000000x2.627530x2.627530x2.63x0.770%0.77%2.024%2.02%4-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%5-1.000000x-1.000000x2.488110x2.488110x2.49x8.848%8.85%22.014%22.0%6-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%-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%7-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%8-1.000000x-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-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.557853x1.557853x1.56x1.068%1.07%1.664%1.66%9-1.000000x-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%10-1.000000x-1.000000x1.235306x1.235306x1.24x1.593%1.59%1.968%1.97%11-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%12-1.066395x-1.066395x1.07x1.000000x1.000000x1.120%1.12%1.050%1.05%13-1.091685x-1.091685x1.09x1.000000x1.000000x0.933%0.93%0.854%0.85%14-1.470476x-1.470476x1.47x1.000000x1.000000x1.550%1.55%1.054%1.05%15-2.800391x-2.800391x2.80x1.000000x1.000000x1.173%1.17%0.419%0.42%16-4.543860x-4.543860x4.54x1.000000x1.000000x0.837%0.84%0.184%0.18%17
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 17 by male-to-female sex ratio

Educational Attainment by County in the Cincinnati Area

There are 15 counties in the Cincinnati Area. This section compares Butler County to all of the counties in the Cincinnati Area and to those entities that contain or substantially overlap with Butler County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected other counties in the Cincinnati Area, and entities that contain Butler County
0%5%10%15%Count#Gallatin CountyGallatinGrant CountyGrantBracken CountyBrackenPendleton CountyPendletonBrown CountyBrownUnited States of AmericaUnited StatesUnion CountyUnionOhio CountyOhioEast North CentralKenton CountyKentonOhioClermont CountyClermontButler CountyButlerMidwestCincinnati Metro AreaCincinnatiCampbell CountyCampbellHamilton CountyHamiltonDearborn CountyDearbornBoone CountyBooneWarren CountyWarren19.668921%19.668921%19.7%1,105117.528517%17.528517%17.5%2,766216.830467%16.830467%16.8%959315.282659%15.282659%15.3%1,522414.737431%14.737431%14.7%4,479513.020590%13.020590%13.0%27,818,38027.8M11.841576%11.841576%11.8%589611.405109%11.405109%11.4%500710.719464%10.719464%10.7%3,363,7843.36M10.686537%10.686537%10.7%11,76011.8k810.514146%10.514146%10.5%825,155825k10.407526%10.407526%10.4%14,16114.2k910.314030%10.314030%10.3%24,52824.5k1010.244520%10.244520%10.2%4,641,8354.64M9.940523%9.940523%9.9%141,727142k9.937858%9.937858%9.9%6,141119.873275%9.873275%9.9%53,29153.3k129.365994%9.365994%9.4%3,185137.614095%7.614095%7.6%6,208147.119778%7.119778%7.1%10,53310.5k15
Count number of people in category
# rank of county out of 15 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected other counties in the Cincinnati Area, and entities that contain Butler County
0%10%20%30%40%Count#Warren CountyWarrenHamilton CountyHamiltonCincinnati Metro AreaCincinnatiBoone CountyBooneCampbell CountyCampbellUnited States of AmericaUnited StatesButler CountyButlerKenton CountyKentonMidwestEast North CentralClermont CountyClermontOhioDearborn CountyDearbornUnion CountyUnionBracken CountyBrackenOhio CountyOhioBrown CountyBrownGrant CountyGrantPendleton CountyPendletonGallatin CountyGallatin40.956469%40.956469%41.0%60,59160.6k135.595553%35.595553%35.6%192,127192k231.723093%31.723093%31.7%452,292452k31.061043%31.061043%31.1%25,32525.3k330.588730%30.588730%30.6%18,90218.9k430.315023%30.315023%30.3%64,767,78764.8M29.134358%29.134358%29.1%69,28569.3k529.093553%29.093553%29.1%32,01632.0k628.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.618418%27.618418%27.6%37,57937.6k726.667466%26.667466%26.7%2,092,8752.09M19.964124%19.964124%20.0%6,789818.556494%18.556494%18.6%923914.636715%14.636715%14.6%8341013.845803%13.845803%13.8%6071112.437484%12.437484%12.4%3,7801212.351077%12.351077%12.4%1,9491310.292198%10.292198%10.3%1,025149.967960%9.967960%10.0%56015
Count number of people in category
# rank of county out of 15 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected other counties in the Cincinnati Area, and entities that contain Butler County
0%1%2%3%4%Count#Hamilton CountyHamiltonWarren CountyWarrenUnited States of AmericaUnited StatesCampbell CountyCampbellCincinnati Metro AreaCincinnatiMidwestEast North CentralKenton CountyKentonOhioBoone CountyBooneButler CountyButlerUnion CountyUnionClermont CountyClermontOhio CountyOhioGrant CountyGrantDearborn CountyDearbornBracken CountyBrackenPendleton CountyPendletonGallatin CountyGallatinBrown CountyBrown4.198425%4.198425%4.2%22,66122.7k13.623766%3.623766%3.6%5,36123.336158%3.336158%3.3%7,127,6737.13M3.325566%3.325566%3.3%2,05533.129371%3.129371%3.1%44,61744.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.761598%2.761598%2.8%3,03942.683241%2.683241%2.7%210,582211k2.514319%2.514319%2.5%2,05052.445209%2.445209%2.4%5,81561.950141%1.950141%2.0%9771.832213%1.832213%1.8%2,49381.459854%1.459854%1.5%6491.356147%1.356147%1.4%214101.211551%1.211551%1.2%412110.930151%0.930151%0.9%53120.692841%0.692841%0.7%69130.658597%0.658597%0.7%37140.648197%0.648197%0.6%19715
Count number of people in category
# rank of county out of 15 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Butler County, selected other counties in the Cincinnati Area, and entities that contain Butler County
Female
Male
1x0x1xFM#BrackenUnionWarrenGrantBrownDearbornPendletonGallatinClermontKentonMidwestEast North CentralCincinnatiCampbellUnited StatesOhioBooneButlerHamiltonOhio-1.000000x-1.000000x1.532994x1.532994x1.53x13.340%13.3%20.450%20.5%1-1.000000x-1.000000x1.520984x1.520984x1.52x9.500%9.50%14.450%14.4%2-1.000000x-1.000000x1.457031x1.457031x1.46x5.811%5.81%8.466%8.47%3-1.000000x-1.000000x1.389288x1.389288x1.39x14.737%14.7%20.474%20.5%4-1.000000x-1.000000x1.337562x1.337562x1.34x12.641%12.6%16.908%16.9%5-1.000000x-1.000000x1.327840x1.327840x1.33x8.066%8.07%10.711%10.7%6-1.000000x-1.000000x1.254194x1.254194x1.25x13.571%13.6%17.021%17.0%7-1.000000x-1.000000x1.254076x1.254076x1.25x17.455%17.5%21.889%21.9%8-1.000000x-1.000000x1.219059x1.219059x1.22x9.410%9.41%11.471%11.5%9-1.000000x-1.000000x1.218252x1.218252x1.22x9.663%9.66%11.772%11.8%10-1.000000x-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-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.110176x1.110176x1.11x9.440%9.44%10.480%10.5%11-1.000000x-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-1.000000x1.088050x1.088050x1.09x7.302%7.30%7.945%7.95%12-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%13-1.000000x-1.000000x1.012905x1.012905x1.01x9.814%9.81%9.941%9.94%14-1.117624x-1.117624x1.12x1.000000x1.000000x12.038%12.0%10.771%10.8%15
F percentage of females in category
M percentage of males in category
# rank of county out of 15 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Butler County, selected other counties in the Cincinnati Area, and entities that contain Butler County
Female
Male
0x2x4x6xFM#OhioUnionBrackenCampbellButlerClermontBooneOhioHamiltonEast North CentralMidwestCincinnatiUnited StatesWarrenBrownKentonDearbornGallatinPendletonGrant-1.000000x-1.000000x6.116689x6.116689x6.12x0.410%0.41%2.510%2.51%1-1.000000x-1.000000x3.388104x3.388104x3.39x0.916%0.92%3.102%3.10%2-1.000000x-1.000000x1.856011x1.856011x1.86x0.655%0.65%1.216%1.22%3-1.000000x-1.000000x1.832612x1.832612x1.83x2.378%2.38%4.358%4.36%4-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%5-1.000000x-1.000000x1.797099x1.797099x1.80x1.322%1.32%2.376%2.38%6-1.000000x-1.000000x1.702800x1.702800x1.70x1.875%1.87%3.193%3.19%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.601589x1.601589x1.60x3.275%3.27%5.245%5.24%8-1.000000x-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-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.471795x1.471795x1.47x2.940%2.94%4.327%4.33%9-1.000000x-1.000000x1.335985x1.335985x1.34x0.556%0.56%0.743%0.74%10-1.000000x-1.000000x1.288989x1.288989x1.29x2.422%2.42%3.122%3.12%11-1.000000x-1.000000x1.129378x1.129378x1.13x1.139%1.14%1.287%1.29%12-1.173125x-1.173125x1.17x1.000000x1.000000x0.711%0.71%0.606%0.61%13-1.846229x-1.846229x1.85x1.000000x1.000000x0.897%0.90%0.486%0.49%14-1.908682x-1.908682x1.91x1.000000x1.000000x1.765%1.76%0.925%0.92%15
F percentage of females in category
M percentage of males in category
# rank of county out of 15 by male-to-female sex ratio

Educational Attainment by County in Ohio

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

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected other counties in Ohio, and entities that contain Butler County
0%5%10%15%Count#Scioto CountySciotoWayne CountyWayneAshtabula CountyAshtabulaLawrence CountyLawrenceRoss CountyRossTuscarawas CountyTuscarawasMuskingum CountyMuskingumMarion CountyMarionUnited States of AmericaUnited StatesPickaway CountyPickawayRichland CountyRichlandClark CountyClarkAshland CountyAshlandColumbiana CountyColumbianaHuron CountyHuronCuyahoga CountyCuyahogaLucas CountyLucasTrumbull CountyTrumbullDarke CountyDarkeMiami CountyMiamiLorain CountyLorainEast North CentralAllen CountyAllenSandusky CountySanduskyOhioKnox CountyKnoxClermont CountyClermontMontgomery CountyMontgomeryAthens CountyAthensButler CountyButlerMidwestBelmont CountyBelmontJefferson CountyJeffersonCincinnati Metro AreaCincinnatiMahoning CountyMahoningHamilton CountyHamiltonWashington CountyWashingtonFranklin CountyFranklinLicking CountyLickingStark CountyStarkErie CountyErieShelby CountyShelbySeneca CountySenecaSummit CountySummitGeauga CountyGeaugaFairfield CountyFairfieldPortage CountyPortageUnion CountyUnionLake CountyLakeHancock CountyHancockGreene CountyGreeneWarren CountyWarrenMedina CountyMedinaWood CountyWoodDelaware CountyDelaware15.880426%15.880426%15.9%8,436114.573422%14.573422%14.6%11,02811.0k214.566860%14.566860%14.6%10,02210.0k314.348435%14.348435%14.3%6,144414.253056%14.253056%14.3%7,731514.068037%14.068037%14.1%9,011613.498115%13.498115%13.5%7,842713.413630%13.413630%13.4%6,192813.020590%13.020590%13.0%27,818,38027.8M12.917789%12.917789%12.9%5,036912.809922%12.809922%12.8%10,88610.9k1012.792826%12.792826%12.8%11,88311.9k1112.567763%12.567763%12.6%4,4281212.374124%12.374124%12.4%9,3021312.286515%12.286515%12.3%4,8201411.473065%11.473065%11.5%100,034100k1511.204220%11.204220%11.2%32,51732.5k1611.138115%11.138115%11.1%16,17816.2k1711.073863%11.073863%11.1%3,9311810.912923%10.912923%10.9%7,8191910.838036%10.838036%10.8%22,53022.5k2010.719464%10.719464%10.7%3,363,7843.36M10.716657%10.716657%10.7%7,4262110.672042%10.672042%10.7%4,3942210.514146%10.514146%10.5%825,155825k10.433639%10.433639%10.4%4,1242310.407526%10.407526%10.4%14,16114.2k2410.369633%10.369633%10.4%37,59537.6k2510.342892%10.342892%10.3%3,6862610.314030%10.314030%10.3%24,52824.5k2710.244520%10.244520%10.2%4,641,8354.64M10.147068%10.147068%10.1%5,1542810.108764%10.108764%10.1%4,833299.940523%9.940523%9.9%141,727142k9.896656%9.896656%9.9%16,29916.3k309.873275%9.873275%9.9%53,29153.3k319.795325%9.795325%9.8%4,245329.640656%9.640656%9.6%78,29978.3k339.609394%9.609394%9.6%10,95011.0k349.565083%9.565083%9.6%24,75324.8k359.415905%9.415905%9.4%5,057369.300022%9.300022%9.3%3,004379.244310%9.244310%9.2%3,424389.016560%9.016560%9.0%33,82433.8k398.928599%8.928599%8.9%5,691408.257364%8.257364%8.3%8,306418.081706%8.081706%8.1%8,364428.064021%8.064021%8.1%2,892438.051408%8.051408%8.1%13,15613.2k447.505079%7.505079%7.5%3,842457.394980%7.394980%7.4%8,066467.119778%7.119778%7.1%10,53310.5k476.360906%6.360906%6.4%7,689485.919879%5.919879%5.9%4,714493.378461%3.378461%3.4%4,15050
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected other counties in Ohio, and entities that contain Butler County
0%10%20%30%40%50%Count#Delaware CountyDelawareWarren CountyWarrenFranklin CountyFranklinGreene CountyGreeneGeauga CountyGeaugaHamilton CountyHamiltonCincinnati Metro AreaCincinnatiWood CountyWoodMedina CountyMedinaCuyahoga CountyCuyahogaSummit CountySummitUnited States of AmericaUnited StatesButler CountyButlerAthens CountyAthensUnion CountyUnionMidwestEast North CentralClermont CountyClermontPortage CountyPortageLake CountyLakeOhioFairfield CountyFairfieldMontgomery CountyMontgomeryHancock CountyHancockLucas CountyLucasLorain CountyLorainLicking CountyLickingMahoning CountyMahoningStark CountyStarkKnox CountyKnoxErie CountyErieWayne CountyWayneMiami CountyMiamiAshland CountyAshlandWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullAllen CountyAllenPickaway CountyPickawayShelby CountyShelbyBelmont CountyBelmontRichland CountyRichlandJefferson CountyJeffersonRoss CountyRossMuskingum CountyMuskingumScioto CountySciotoTuscarawas CountyTuscarawasSandusky CountySanduskySeneca CountySenecaLawrence CountyLawrenceColumbiana CountyColumbianaHuron CountyHuronAshtabula CountyAshtabulaDarke CountyDarkeMarion CountyMarion52.455693%52.455693%52.5%64,43564.4k140.956469%40.956469%41.0%60,59160.6k238.352941%38.352941%38.4%311,493311k337.647835%37.647835%37.6%41,06441.1k437.269176%37.269176%37.3%23,75523.8k535.595553%35.595553%35.6%192,127192k631.723093%31.723093%31.7%452,292452k31.682783%31.682783%31.7%25,22925.2k731.455422%31.455422%31.5%38,02338.0k830.891280%30.891280%30.9%269,342269k930.713722%30.713722%30.7%115,217115k1030.315023%30.315023%30.3%64,767,78764.8M29.134358%29.134358%29.1%69,28569.3k1129.126214%29.126214%29.1%10,38010.4k1229.091264%29.091264%29.1%10,43310.4k1328.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.618418%27.618418%27.6%37,57937.6k1427.280106%27.280106%27.3%28,23328.2k1527.039780%27.039780%27.0%44,18344.2k1626.667466%26.667466%26.7%2,092,8752.09M26.410442%26.410442%26.4%26,56626.6k1726.143225%26.143225%26.1%94,78294.8k1825.838022%25.838022%25.8%13,22713.2k1925.090190%25.090190%25.1%72,81772.8k2023.488664%23.488664%23.5%48,82848.8k2123.329326%23.329326%23.3%26,58426.6k2222.789814%22.789814%22.8%37,53337.5k2322.631528%22.631528%22.6%58,56758.6k2421.891919%21.891919%21.9%8,6532521.593088%21.593088%21.6%11,59711.6k2621.467650%21.467650%21.5%16,24516.2k2721.063797%21.063797%21.1%15,09215.1k2819.637840%19.637840%19.6%6,9192918.409212%18.409212%18.4%7,9783017.966799%17.966799%18.0%16,68916.7k3117.959504%17.959504%18.0%26,08626.1k3217.386787%17.386787%17.4%12,04812.0k3317.306656%17.306656%17.3%6,7473417.089254%17.089254%17.1%5,5203516.407773%16.407773%16.4%8,3343616.395430%16.395430%16.4%13,93313.9k3715.429826%15.429826%15.4%7,3773815.303921%15.303921%15.3%8,3013915.066182%15.066182%15.1%8,7534014.993788%14.993788%15.0%7,9654114.979782%14.979782%15.0%9,5954214.815534%14.815534%14.8%6,1004314.711520%14.711520%14.7%5,4494414.142924%14.142924%14.1%6,0564513.935855%13.935855%13.9%10,47610.5k4613.479480%13.479480%13.5%5,2884713.119186%13.119186%13.1%9,0264813.093695%13.093695%13.1%4,6484912.295828%12.295828%12.3%5,67650
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected other counties in Ohio, and entities that contain Butler County
0%1%2%3%4%5%Count#Athens CountyAthensDelaware CountyDelawareGreene CountyGreeneFranklin CountyFranklinHamilton CountyHamiltonCuyahoga CountyCuyahogaWarren CountyWarrenWood CountyWoodUnited States of AmericaUnited StatesGeauga CountyGeaugaSummit CountySummitCincinnati Metro AreaCincinnatiLucas CountyLucasMidwestEast North CentralOhioUnion CountyUnionPortage CountyPortageKnox CountyKnoxButler CountyButlerMontgomery CountyMontgomeryLicking CountyLickingErie CountyErieMedina CountyMedinaWayne CountyWayneMahoning CountyMahoningLake CountyLakeAllen CountyAllenLorain CountyLorainStark CountyStarkHancock CountyHancockAshland CountyAshlandClermont CountyClermontFairfield CountyFairfieldJefferson CountyJeffersonWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullRoss CountyRossScioto CountySciotoLawrence CountyLawrenceMiami CountyMiamiRichland CountyRichlandShelby CountyShelbyPickaway CountyPickawayBelmont CountyBelmontMuskingum CountyMuskingumAshtabula CountyAshtabulaColumbiana CountyColumbianaSandusky CountySanduskySeneca CountySenecaMarion CountyMarionHuron CountyHuronTuscarawas CountyTuscarawasDarke CountyDarke5.390314%5.390314%5.4%1,92115.031057%5.031057%5.0%6,18024.454774%4.454774%4.5%4,85934.335519%4.335519%4.3%35,21235.2k44.198425%4.198425%4.2%22,66122.7k54.184410%4.184410%4.2%36,48436.5k63.623766%3.623766%3.6%5,36173.600402%3.600402%3.6%2,86783.336158%3.336158%3.3%7,127,6737.13M3.260170%3.260170%3.3%2,07893.147959%3.147959%3.1%11,80911.8k103.129371%3.129371%3.1%44,61744.6k2.925012%2.925012%2.9%8,489112.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.506762%2.506762%2.5%899122.505483%2.505483%2.5%2,593132.474321%2.474321%2.5%978142.445209%2.445209%2.4%5,815152.444911%2.444911%2.4%8,864162.283438%2.283438%2.3%2,602172.256689%2.256689%2.3%1,212182.239430%2.239430%2.2%2,707192.226715%2.226715%2.2%1,685202.131251%2.131251%2.1%3,510212.086903%2.086903%2.1%3,410222.046353%2.046353%2.0%1,418232.027141%2.027141%2.0%4,214241.963406%1.963406%2.0%5,081251.906548%1.906548%1.9%976261.867567%1.867567%1.9%658271.832213%1.832213%1.8%2,493281.755659%1.755659%1.8%1,766291.604267%1.604267%1.6%767301.589865%1.589865%1.6%689311.506115%1.506115%1.5%1,399321.396223%1.396223%1.4%2,028331.281319%1.281319%1.3%695341.278190%1.278190%1.3%679351.268099%1.268099%1.3%543361.179360%1.179360%1.2%845371.166143%1.166143%1.2%991381.111421%1.111421%1.1%359391.095293%1.095293%1.1%427401.025732%1.025732%1.0%521410.984560%0.984560%1.0%572420.899709%0.899709%0.9%619430.895268%0.895268%0.9%673440.871931%0.871931%0.9%359450.861254%0.861254%0.9%319460.847017%0.847017%0.8%391470.830997%0.830997%0.8%326480.771236%0.771236%0.8%494490.546510%0.546510%0.5%19450
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Butler County, selected other counties in Ohio, and entities that contain Butler County
Female
Male
1x0x1xFM#PickawayWarrenRichlandShelbyAthensHancockMarionClermontLorainTuscarawasDelawareHuronKnoxAshlandMuskingumLucasMahoningTrumbullWayneGeaugaClarkLawrenceDarkeLakeMidwestEast North CentralBelmontAshtabulaCincinnatiWashingtonUnited StatesOhioMedinaRossSanduskyErieCuyahogaAllenFranklinFairfieldButlerLickingMontgomeryPortageSciotoStarkSenecaHamiltonJeffersonColumbianaGreeneSummitWoodMiamiUnion-1.000000x-1.000000x1.597241x1.597241x1.60x9.831%9.83%15.703%15.7%1-1.000000x-1.000000x1.457031x1.457031x1.46x5.811%5.81%8.466%8.47%2-1.000000x-1.000000x1.428027x1.428027x1.43x10.554%10.6%15.071%15.1%3-1.000000x-1.000000x1.355020x1.355020x1.36x7.910%7.91%10.718%10.7%4-1.000000x-1.000000x1.239662x1.239662x1.24x9.239%9.24%11.453%11.5%5-1.000000x-1.000000x1.228711x1.228711x1.23x6.756%6.76%8.301%8.30%6-1.000000x-1.000000x1.222802x1.222802x1.22x11.988%12.0%14.658%14.7%7-1.000000x-1.000000x1.219059x1.219059x1.22x9.410%9.41%11.471%11.5%8-1.000000x-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%9-1.000000x-1.000000x1.212065x1.212065x1.21x12.766%12.8%15.474%15.5%10-1.000000x-1.000000x1.204437x1.204437x1.20x3.074%3.07%3.703%3.70%11-1.000000x-1.000000x1.201209x1.201209x1.20x11.198%11.2%13.451%13.5%12-1.000000x-1.000000x1.196265x1.196265x1.20x9.533%9.53%11.404%11.4%13-1.000000x-1.000000x1.194357x1.194357x1.19x11.488%11.5%13.721%13.7%14-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%15-1.000000x-1.000000x1.169306x1.169306x1.17x10.373%10.4%12.129%12.1%16-1.000000x-1.000000x1.158437x1.158437x1.16x9.203%9.20%10.662%10.7%17-1.000000x-1.000000x1.157733x1.157733x1.16x10.358%10.4%11.992%12.0%18-1.000000x-1.000000x1.151379x1.151379x1.15x13.576%13.6%15.631%15.6%19-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%20-1.000000x-1.000000x1.150715x1.150715x1.15x11.939%11.9%13.739%13.7%21-1.000000x-1.000000x1.140157x1.140157x1.14x13.451%13.5%15.336%15.3%22-1.000000x-1.000000x1.139879x1.139879x1.14x10.372%10.4%11.823%11.8%23-1.000000x-1.000000x1.134887x1.134887x1.13x7.564%7.56%8.584%8.58%24-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.122752x1.122752x1.12x9.558%9.56%10.731%10.7%25-1.000000x-1.000000x1.121822x1.121822x1.12x13.739%13.7%15.412%15.4%26-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%27-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104033x1.104033x1.10x6.055%6.06%6.685%6.69%28-1.000000x-1.000000x1.090568x1.090568x1.09x13.607%13.6%14.839%14.8%29-1.000000x-1.000000x1.079648x1.079648x1.08x10.276%10.3%11.095%11.1%30-1.000000x-1.000000x1.070676x1.070676x1.07x9.106%9.11%9.749%9.75%31-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%32-1.000000x-1.000000x1.067772x1.067772x1.07x10.371%10.4%11.074%11.1%33-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%34-1.000000x-1.000000x1.047665x1.047665x1.05x8.071%8.07%8.455%8.46%35-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%36-1.000000x-1.000000x1.041562x1.041562x1.04x9.421%9.42%9.813%9.81%37-1.000000x-1.000000x1.037009x1.037009x1.04x10.193%10.2%10.570%10.6%38-1.000000x-1.000000x1.036905x1.036905x1.04x7.939%7.94%8.232%8.23%39-1.000000x-1.000000x1.033630x1.033630x1.03x15.627%15.6%16.153%16.2%40-1.000000x-1.000000x1.031161x1.031161x1.03x9.426%9.43%9.720%9.72%41-1.000000x-1.000000x1.020140x1.020140x1.02x9.155%9.15%9.339%9.34%42-1.000000x-1.000000x1.012905x1.012905x1.01x9.814%9.81%9.941%9.94%43-1.000000x-1.000000x1.004137x1.004137x1.00x10.089%10.1%10.131%10.1%44-1.022047x-1.022047x1.02x1.000000x1.000000x12.509%12.5%12.239%12.2%45-1.030592x-1.030592x1.03x1.000000x1.000000x7.503%7.50%7.280%7.28%46-1.057764x-1.057764x1.06x1.000000x1.000000x9.256%9.26%8.751%8.75%47-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%48-1.131015x-1.131015x1.13x1.000000x1.000000x11.559%11.6%10.220%10.2%49-1.420116x-1.420116x1.42x1.000000x1.000000x9.358%9.36%6.590%6.59%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Butler County, selected other counties in Ohio, and entities that contain Butler County
Female
Male
1x0x1x2x3xFM#MiamiColumbianaClarkJeffersonLawrenceAshtabulaMahoningWashingtonMontgomeryErieLorainBelmontAthensGreeneHancockGeaugaSciotoRichlandPortageDarkeButlerClermontTrumbullAllenCuyahogaOhioStarkWayneWoodAshlandSenecaTuscarawasDelawareFairfieldSummitHamiltonEast North CentralMuskingumMidwestCincinnatiFranklinHuronUnited StatesShelbyUnionRossKnoxWarrenLickingLakeLucasMedinaPickawaySanduskyMarion-1.000000x-1.000000x3.501312x3.501312x3.50x0.534%0.53%1.871%1.87%1-1.000000x-1.000000x3.345227x3.345227x3.35x0.412%0.41%1.379%1.38%2-1.000000x-1.000000x2.838033x2.838033x2.84x0.805%0.80%2.284%2.28%3-1.000000x-1.000000x2.291361x2.291361x2.29x0.992%0.99%2.274%2.27%4-1.000000x-1.000000x2.274678x2.274678x2.27x0.789%0.79%1.795%1.79%5-1.000000x-1.000000x2.235629x2.235629x2.24x0.558%0.56%1.248%1.25%6-1.000000x-1.000000x2.218047x2.218047x2.22x1.350%1.35%2.994%2.99%7-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%8-1.000000x-1.000000x2.146385x2.146385x2.15x1.591%1.59%3.414%3.41%9-1.000000x-1.000000x2.105141x2.105141x2.11x1.473%1.47%3.100%3.10%10-1.000000x-1.000000x2.086342x2.086342x2.09x1.331%1.33%2.776%2.78%11-1.000000x-1.000000x2.063493x2.063493x2.06x0.669%0.67%1.380%1.38%12-1.000000x-1.000000x2.046436x2.046436x2.05x3.542%3.54%7.249%7.25%13-1.000000x-1.000000x2.003204x2.003204x2.00x2.999%3.00%6.008%6.01%14-1.000000x-1.000000x1.977220x1.977220x1.98x1.293%1.29%2.557%2.56%15-1.000000x-1.000000x1.957255x1.957255x1.96x2.227%2.23%4.360%4.36%16-1.000000x-1.000000x1.939604x1.939604x1.94x0.880%0.88%1.706%1.71%17-1.000000x-1.000000x1.868071x1.868071x1.87x0.813%0.81%1.520%1.52%18-1.000000x-1.000000x1.859489x1.859489x1.86x1.765%1.77%3.283%3.28%19-1.000000x-1.000000x1.849233x1.849233x1.85x0.387%0.39%0.716%0.72%20-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%21-1.000000x-1.000000x1.797099x1.797099x1.80x1.322%1.32%2.376%2.38%22-1.000000x-1.000000x1.771358x1.771358x1.77x1.021%1.02%1.808%1.81%23-1.000000x-1.000000x1.732122x1.732122x1.73x1.505%1.50%2.606%2.61%24-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.666317x1.666317x1.67x1.492%1.49%2.486%2.49%26-1.000000x-1.000000x1.658480x1.658480x1.66x1.687%1.69%2.798%2.80%27-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%28-1.000000x-1.000000x1.646276x1.646276x1.65x1.423%1.42%2.343%2.34%29-1.000000x-1.000000x1.645493x1.645493x1.65x0.656%0.66%1.079%1.08%30-1.000000x-1.000000x1.642114x1.642114x1.64x0.589%0.59%0.968%0.97%31-1.000000x-1.000000x1.634773x1.634773x1.63x3.849%3.85%6.292%6.29%32-1.000000x-1.000000x1.623998x1.623998x1.62x1.348%1.35%2.189%2.19%33-1.000000x-1.000000x1.609994x1.609994x1.61x2.442%2.44%3.932%3.93%34-1.000000x-1.000000x1.601589x1.601589x1.60x3.275%3.27%5.245%5.24%35-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%36-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%37-1.000000x-1.000000x1.532147x1.532147x1.53x0.661%0.66%1.013%1.01%38-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522652x1.522652x1.52x0.883%0.88%1.344%1.34%39-1.000000x-1.000000x1.506598x1.506598x1.51x2.027%2.03%3.053%3.05%40-1.000000x-1.000000x1.490387x1.490387x1.49x1.019%1.02%1.519%1.52%41-1.000000x-1.000000x1.481268x1.481268x1.48x2.009%2.01%2.976%2.98%42-1.000000x-1.000000x1.471795x1.471795x1.47x2.940%2.94%4.327%4.33%43-1.000000x-1.000000x1.469621x1.469621x1.47x1.863%1.86%2.738%2.74%44-1.000000x-1.000000x1.461851x1.461851x1.46x1.709%1.71%2.499%2.50%45-1.000000x-1.000000x1.435534x1.435534x1.44x2.425%2.43%3.481%3.48%46-1.000000x-1.000000x1.406400x1.406400x1.41x1.871%1.87%2.631%2.63%47-1.000000x-1.000000x1.250193x1.250193x1.25x0.968%0.97%1.210%1.21%48-1.000000x-1.000000x1.242747x1.242747x1.24x0.780%0.78%0.970%0.97%49-1.000000x-1.000000x1.220919x1.220919x1.22x0.758%0.76%0.925%0.93%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

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

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected other counties in the United States, and entities that contain Butler County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralOhioMecklenburg CountyMecklenburgButler CountyButlerMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkCincinnati Metro AreaCincinnatiFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.377895%10.377895%10.4%69,51069.5k3410.314030%10.314030%10.3%24,52824.5k10.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.940523%9.940523%9.9%141,727142k9.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected other counties in the United States, and entities that contain Butler County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeCincinnati Metro AreaCincinnatiHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoButler CountyButlerMidwestEast North CentralMiami-Dade CountyMiami-DadeBexar CountyBexarOhioPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.723093%31.723093%31.7%452,292452k31.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4129.134358%29.134358%29.1%69,28569.3k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected other counties in the United States, and entities that contain Butler County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoCincinnati Metro AreaCincinnatiMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensOhioButler CountyButlerFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.129371%3.129371%3.1%44,61744.6k3.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.683241%2.683241%2.7%210,582211k2.445209%2.445209%2.4%5,8152.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#65

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 Butler County, selected other counties in the United States, and entities that contain Butler County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasCincinnatiSuffolkMilwaukeeWayneUnited StatesOhioOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryButlerBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

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 Butler County, selected other counties in the United States, and entities that contain Butler County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandButlerMaricopaCuyahogaOrangeOhioBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestCincinnatiNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Fairfield, Hamilton, Middletown, Monroe, Oxford, Sharonville, Trenton
Townships:
Fairfield, Hanover, Lemon, Liberty, Madison, Milford, Morgan, Oxford, Reily, Ross, St. Clair, Wayne, West Chester
Unincorporated Places:
Beckett Ridge, Darrtown, Four Bridges, Olde West Chester, Ross, Wetherington, Williamsdale
Villages:
College Corner, Jacksonburg, Millville, New Miami, Seven Mile, Somerville
ZIP Codes:
45003, 45011, 45013, 45014, 45015, 45042, 45044, 45050, 45053, 45056, 45062, 45064, 45067, 45069, 45241, 45246, 45327
Unified School Districts:
College Corner, Edgewood, Fairfield, Hamilton, Lakota, Madison, Mason, Middletown, Monroe, New Miami, Northwest, Preble Shawnee, Princeton, Ross, Southwest, Talawanda
Congressional District:
OH-8
State Senate Districts:
OH-4, OH-7
State House Districts:
OH-51, OH-52, OH-53, OH-54
Neighboring Counties:
Dearborn, Franklin, Hamilton, Montgomery, Preble, Union, Warren
Nearby Counties:
Boone, Campbell, Clermont, Clinton, Fayette, Greene, Kenton, Ohio, Ripley, Wayne