Educational Attainment in Muskingum County, Ohio (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ohio and Muskingum County
Muskingum County
Ohio
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma224.350655%35.063314%24.350655%24.4%14,14714.1k62.151230%54.422540%62.151230%62.2%36,10836.1k13.498115%10.514146%13.498115%13.5%7,842
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 Muskingum County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-30.552329%-30.552329%-30.6%24.351%24.4%35.063%35.1%14.201266%14.201266%+14.2%62.151%62.2%54.423%54.4%28.380521%28.380521%+28.4%13.498%13.5%10.514%10.5%
% percentage with given level in Muskingum 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 Muskingum County
Muskingum County
Ohio
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.244419%1.076166%0.244419%0.2%1420.740141%1.607075%0.740141%0.7%4304.292821%7.279494%4.292821%4.3%2,4949.788801%16.704731%9.788801%9.8%5,6879.284473%8.395848%9.284473%9.3%5,39420.737732%20.603422%20.737732%20.7%12,04812.0k41.413498%33.819119%41.413498%41.4%24,06024.1k10.823278%7.545636%10.823278%10.8%6,2881.917483%2.095069%1.917483%1.9%1,1140.757354%0.873440%0.757354%0.8%440
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 Muskingum County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-77.288000%-77.288000%-77.3%0.244%0.24%1.076%1.08%-53.944813%-53.944813%-53.9%0.740%0.74%1.607%1.61%-41.028581%-41.028581%-41.0%4.293%4.29%7.279%7.28%-41.401024%-41.401024%-41.4%9.789%9.79%16.705%16.7%10.584097%10.584097%+10.6%9.284%9.28%8.396%8.40%0.651883%0.651883%+0.7%20.738%20.7%20.603%20.6%22.455876%22.455876%+22.5%41.413%41.4%33.819%33.8%43.437585%43.437585%+43.4%10.823%10.8%7.546%7.55%-8.476399%-8.476399%-8.5%1.917%1.92%2.095%2.10%-13.290692%-13.290692%-13.3%0.757%0.76%0.873%0.87%
% percentage with given level in Muskingum 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 Muskingum County
More Females More Males
Ohio
Muskingum County
20%10%0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-26.336455%-7.885240%-26.336455%26%27.010%27.0%21.380%21.4%5.406773%2.984493%5.406773%5%60.603%60.6%63.880%63.9%19.004529%10.536340%19.004529%19%12.386%12.4%14.740%14.7%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Ohio and Muskingum County
More Females More Males
Ohio
Muskingum County
50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None25.046638%65.373714%25.046638%25%0.219%0.22%0.273%0.27%72.519966%68.015763%72.519966%73%0.551%0.55%0.951%0.95%-70.690933%-21.244079%-70.690933%71%5.337%5.34%3.127%3.13%16.565214%0.726598%16.565214%17%9.078%9.08%10.582%10.6%-83.440243%-39.383112%-83.440243%83%11.825%11.8%6.446%6.45%-16.266883%-0.103999%-16.266883%16%22.205%22.2%19.098%19.1%16.624218%4.911287%16.624218%17%38.398%38.4%44.782%44.8%12.492749%10.693269%12.492749%12%10.220%10.2%11.497%11.5%68.568877%11.385964%68.568877%69%1.448%1.45%2.442%2.44%11.708330%7.203042%11.708330%12%0.718%0.72%0.802%0.80%
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 Muskingum County
Muskingum County
Ohio
0%5%10%15%20%B.X.Total65+45-6435-4425-348.174120%11.168673%8.174120%8.2%1,16814,28914.3k8.037905%15.925332%8.037905%8.0%1,90023,63823.6k15.978044%19.733657%15.978044%16.0%1,60110,02010.0k10.029557%22.259142%10.029557%10.0%1,01810,15010.2k
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 Muskingum County
50%40%30%20%10%0%%ref.65+45-6435-4425-34-26.812074%-26.812074%26.8%8.174%8.17%11.169%11.2%-49.527550%-49.527550%49.5%8.038%8.04%15.925%15.9%-19.031511%-19.031511%19.0%15.978%16.0%19.734%19.7%-54.941854%-54.941854%54.9%10.030%10.0%22.259%22.3%
% percentage in Muskingum 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 Muskingum County
More Females More Males
Ohio
Muskingum County
0%20%40%60%FM65+45-6435-4425-3464.847722%36.828803%64.847722%64.8%6.401%6.40%10.552%10.6%-0.054549%4.417287%4.417287%4.4%7.869%7.87%8.217%8.22%-14.012939%13.534091%13.534091%13.5%14.976%15.0%17.003%17.0%-7.032242%-14.499975%-7.032242%7.0%10.358%10.4%9.677%9.68%
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 Muskingum County
Muskingum County
Ohio
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$56,084.000000$63,821.000000$56,084.000000$56.1k3,0665.277%5.28%$44,550.000000$50,107.000000$44,550.000000$44.6k5,6879.789%9.79%$29,530.000000$32,706.000000$29,530.000000$29.5k17,44217.4k30.022%30.0%$29,007.000000$28,919.000000$29,007.000000$29.0k24,06024.1k41.413%41.4%$25,058.000000$20,344.000000$25,058.000000$25.1k7,84213.498%13.5%$30,956.000000$35,841.000000$30,956.000000$31.0k58,09758.1k100.000%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 Muskingum County
Female Male
Ohio
Muskingum County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-51,402.000000$-55,571.000000$-51,402.000000$51.4k$51,402.000000$15,143.000000$55,571.000000$22,109.000000$66,545.000000$66.5k1,8721,194$-40,625.000000$-40,856.000000$-40,625.000000$40.6k$40,625.000000$11,441.000000$40,856.000000$20,405.000000$52,066.000000$52.1k2,7832,904$-25,523.000000$-27,361.000000$-25,523.000000$25.5k$25,523.000000$14,271.000000$27,361.000000$13,780.000000$39,794.000000$39.8k10,43210.4k7,010$-20,264.000000$-22,081.000000$-20,264.000000$20.3k$20,264.000000$16,617.000000$22,081.000000$13,410.000000$36,881.000000$36.9k11,77111.8k12,28912.3k$-14,955.000000$-15,062.000000$-14,955.000000$15.0k$14,955.000000$12,333.000000$15,062.000000$9,409.000000$27,288.000000$27.3k3,7974,045$-25,542.000000$-29,749.000000$-25,542.000000$25.5k$25,542.000000$13,894.000000$29,749.000000$12,566.000000$39,436.000000$39.4k30,65530.7k27,44227.4k
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 Muskingum County
Muskingum County
Ohio
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%51.152074%0100.000000%41.442873%100.000000%100.0%370.000000%0.000000%0.0%7.039568%00.000000%0.000000%0.0%0.365485%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Ohio and Muskingum County
Muskingum County
Ohio
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.505358%84.712194%85.505358%85.5%5,90576.112556%75.098475%76.112556%76.1%11,11711.1k67.839602%67.335954%67.839602%67.8%11,74111.7k36.339948%44.096181%36.339948%36.3%1,813
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 Muskingum County
Female Male
Ohio
Muskingum County
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackAsianHispanic2Other1-11.584031%-8.849949%-11.584031%11.6%11.584031%2.633352%8.849949%0.838407%14.217383%14.2%3,6563,334-26.010929%-14.710486%-26.010929%26.0%26.010929%2.278545%14.710486%2.396424%28.289474%28.3%301238-0.000000%-10.995328%-3.238870%0.000000%0.0%0.000000%0.000000%10.995328%0.000000%0.0%00-4.477612%-16.133075%-23.269744%-20.610687%20.6%4.477612%23.269744%5.740390%4.477612%4.5%954-16.058394%-6.925477%-16.869350%-22.983871%23.0%16.058394%16.869350%3.904344%16.058394%16.1%88171
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 Muskingum County
Female Male
Ohio
Muskingum County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-15.302353%-0.152288%-27.409880%-15.454640%15.5%15.302353%27.409880%0.383981%15.302353%15.3%3,9354,448-8.646617%-3.593821%-14.337282%-3.326272%-12.240437%12.2%8.646617%14.337282%8.646617%8.6%92112-28.070175%-55.571247%-28.070175%28.1%28.070175%31.929825%55.571247%11.025101%60.000000%60.0%632-13.358779%-15.825016%-4.164425%-13.358779%13.4%13.358779%0.571570%15.825016%13.930348%13.9%2835-4.838710%-18.226192%-3.481943%-4.838710%4.8%4.838710%3.008006%18.226192%7.846715%7.8%4336
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 Muskingum 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
10%16%21%27%32%38%

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
50%58%65%72%80%88%

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
2.3%6.8%11.3%15.9%20.4%24.9%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.36%0.72%1.08%1.44%1.80%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.1%2.8%3.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.2%4.3%6.5%8.7%10.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.0%8.1%12.1%16.1%20.2%

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
2.6%6.6%10.5%14.5%18.4%22.4%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
6%12%17%22%28%33%

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
29%39%48%56%65%74%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.4%8.8%13.1%17.5%21.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.7%5.4%8.1%10.8%13.6%

Detailed: None Educational Attainment by County Subdivision#28

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

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Map of Educational Attainment by Tract in Muskingum 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
7%14%21%27%34%41%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
52.0%56.1%60.2%64.2%68.3%72.3%

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
5.4%10.2%14.9%19.7%24.4%29.2%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.24%0.48%0.73%0.97%1.22%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.5%3.3%4.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%2.4%4.1%5.8%7.5%9.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%5.8%8.8%11.8%14.8%17.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.9%6.3%8.7%11.1%13.5%15.9%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
13.7%16.4%19.0%21.6%24.2%26.8%

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
32.1%36.2%40.2%44.2%48.2%52.3%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
3.4%8.2%12.9%17.6%22.3%27.0%

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
0.3%1.0%1.6%2.2%2.8%3.5%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.35%0.69%1.04%1.39%1.74%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Muskingum County

There are 16 places that are fully or partially contained within Muskingum County (14 fully and 2 partially). This section compares all 16 of those to each other, Muskingum County, and other entities that contain or substantially overlap with Muskingum 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 Muskingum County, selected places in Muskingum County, and entities that contain Muskingum County
0%10%20%30%Count#TrinwayZanesvilleEast FultonhamE FultonhamRosevilleGratiotSouth ZanesvilleS ZanesvillePhiloFrazeysburgAdamsvilleFultonhamZanesville Metro AreaZanesvilleMuskingum CountyMuskingumUnited States of AmericaUnited StatesNorwichEast North CentralOhioMidwestDresdenNorth ZanesvilleN ZanesvillePleasant GrovePleasant GrvNew ConcordDuncan Falls35.175879%35.175879%35.2%70119.199100%19.199100%19.2%3,241218.779343%18.779343%18.8%40316.777963%16.777963%16.8%201416.577540%16.577540%16.6%31516.317992%16.317992%16.3%234615.427509%15.427509%15.4%83715.295359%15.295359%15.3%145814.893617%14.893617%14.9%14913.513514%13.513514%13.5%101013.498115%13.498115%13.5%7,84213.498115%13.498115%13.5%7,84213.020590%13.020590%13.0%27,818,38027.8M11.250000%11.250000%11.3%91110.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M9.555985%9.555985%9.6%99126.631427%6.631427%6.6%138134.553734%4.553734%4.6%50144.437564%4.437564%4.4%43154.090268%4.090268%4.1%2916
Count number of people in category
# rank of place out of 16 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 Muskingum County, selected places in Muskingum County, and entities that contain Muskingum County
0%10%20%30%Count#New ConcordNorth ZanesvilleN ZanesvilleUnited States of AmericaUnited StatesMidwestEast North CentralOhioPleasant GrovePleasant GrvNorwichTrinwayZanesville Metro AreaZanesvilleMuskingum CountyMuskingumDresdenZanesvilleFultonhamPhiloFrazeysburgSouth ZanesvilleS ZanesvilleRosevilleEast FultonhamE FultonhamAdamsvilleGratiotDuncan Falls35.706914%35.706914%35.7%346133.829889%33.829889%33.8%704230.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M23.861566%23.861566%23.9%262322.500000%22.500000%22.5%18417.587940%17.587940%17.6%35515.066182%15.066182%15.1%8,75315.066182%15.066182%15.1%8,75313.610039%13.610039%13.6%141612.102364%12.102364%12.1%2,04379.459459%9.459459%9.5%788.921933%8.921933%8.9%4897.278481%7.278481%7.3%69106.066946%6.066946%6.1%87115.676127%5.676127%5.7%68125.633803%5.633803%5.6%12135.319149%5.319149%5.3%5143.743316%3.743316%3.7%7152.961918%2.961918%3.0%2116
Count number of people in category
# rank of place out of 16 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 Muskingum County, selected places in Muskingum County, and entities that contain Muskingum County
0%1%2%3%4%5%Count#New ConcordUnited States of AmericaUnited StatesMidwestEast North CentralNorth ZanesvilleN ZanesvilleOhioDresdenPleasant GrovePleasant GrvZanesvilleRosevilleZanesville Metro AreaZanesvilleMuskingum CountyMuskingumFrazeysburgSouth ZanesvilleS ZanesvilleDuncan FallsPhiloGratiotEast FultonhamE FultonhamTrinwayAdamsvilleFultonhamNorwich5.056760%5.056760%5.1%4913.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.691014%2.691014%2.7%5622.683241%2.683241%2.7%210,582211k1.544402%1.544402%1.5%1631.275046%1.275046%1.3%1441.249926%1.249926%1.2%21151.085142%1.085142%1.1%1360.984560%0.984560%1.0%5720.984560%0.984560%1.0%5720.210970%0.210970%0.2%270.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%016
Count number of people in category
# rank of place out of 16 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 Muskingum County, selected places in Muskingum County, and entities that contain Muskingum County
Female
Male
2x0x2x4x6xFM#Pleasant GrvAdamsvilleTrinwayNorwichPhiloN ZanesvilleZanesvilleDuncan FallsGratiotZanesvilleMuskingumFrazeysburgMidwestEast North CentralUnited StatesOhioRosevilleE FultonhamNew ConcordS ZanesvilleFultonhamDresden-1.000000x-1.000000x6.291032x6.291032x6.29x1.183%1.18%7.445%7.45%1-1.000000x-1.000000x4.348837x4.348837x4.35x5.882%5.88%25.581%25.6%2-1.000000x-1.000000x3.874510x3.874510x3.87x15.789%15.8%61.176%61.2%3-1.000000x-1.000000x2.863636x2.863636x2.86x5.556%5.56%15.909%15.9%4-1.000000x-1.000000x1.683333x1.683333x1.68x11.881%11.9%20.000%20.0%5-1.000000x-1.000000x1.547684x1.547684x1.55x5.305%5.31%8.211%8.21%6-1.000000x-1.000000x1.319553x1.319553x1.32x16.852%16.9%22.237%22.2%7-1.000000x-1.000000x1.237544x1.237544x1.24x3.738%3.74%4.626%4.63%8-1.000000x-1.000000x1.226852x1.226852x1.23x15.094%15.1%18.519%18.5%9-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%-1.000000x-1.000000x1.157236x1.157236x1.16x14.163%14.2%16.390%16.4%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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.010842x1.010842x1.01x16.693%16.7%16.874%16.9%11-1.034928x-1.034928x1.03x1.000000x1.000000x19.091%19.1%18.447%18.4%12-1.209960x-1.209960x1.21x1.000000x1.000000x4.806%4.81%3.972%3.97%13-1.776425x-1.776425x1.78x1.000000x1.000000x20.704%20.7%11.655%11.7%14-2.094017x-2.094017x2.09x1.000000x1.000000x17.949%17.9%8.571%8.57%15-3.945652x-3.945652x3.95x1.000000x1.000000x14.674%14.7%3.719%3.72%16
F percentage of females in category
M percentage of males in category
# rank of place out of 16 by male-to-female sex ratio

Over-Education Sex Ratio by Place#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 Muskingum County, selected places in Muskingum County, and entities that contain Muskingum County
Female
Male
10x5x0xFM#New ConcordN ZanesvilleZanesvilleDresdenOhioEast North CentralZanesvilleMuskingumMidwestUnited StatesRosevilleFrazeysburgPleasant Grv-1.000000x-1.000000x4.929673x4.929673x4.93x1.848%1.85%9.112%9.11%1-1.000000x-1.000000x3.254105x3.254105x3.25x1.326%1.33%4.316%4.32%2-1.000000x-1.000000x2.499200x2.499200x2.50x0.756%0.76%1.889%1.89%3-1.000000x-1.000000x1.900826x1.900826x1.90x1.087%1.09%2.066%2.07%4-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-4.876378x-4.876378x4.88x1.000000x1.000000x1.732%1.73%0.355%0.36%5-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.429%0.43%0.000%0%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.761%2.76%0.000%0%7
F percentage of females in category
M percentage of males in category
# rank of place out of 7 by male-to-female sex ratio

Educational Attainment by County Subdivision in Muskingum County

There are 26 county subdivisions in Muskingum County. This section compares all 26 of those to each other, Muskingum County, and other entities that contain or substantially overlap with Muskingum 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 Muskingum County, selected county subdivisions in Muskingum County, and entities that contain Muskingum County
0%5%10%15%20%Count#Brush Creek TownshipBrush CrkNewton TownshipNewtonAdams TownshipAdamsZanesvilleClay TownshipMonroe TownshipMonroeBlue Rock TownshipBlue RockHarrison TownshipHarrisonSpringfield TownshipSpringfieldZanesville Metro AreaZanesvilleMuskingum CountyMuskingumMuskingum TownshipMuskingumUnited States of AmericaUnited StatesPerry TownshipPerryHopewell TownshipHopewellSalt Creek TownshipSalt CrkCass TownshipJackson TownshipJacksonEast North CentralOhioMidwestWayne TownshipWayneHighland TownshipHighlandRich Hill TownshipRich HlFalls TownshipFallsJefferson TownshipJeffersonLicking TownshipLickingMeigs TownshipMeigsUnion TownshipUnionSalem TownshipSalemWashington TownshipWashingtonMadison TownshipMadison24.862486%24.862486%24.9%226120.532003%20.532003%20.5%741220.171674%20.171674%20.2%94319.199100%19.199100%19.2%3,241418.398876%18.398876%18.4%131515.471698%15.471698%15.5%41614.789916%14.789916%14.8%88714.469453%14.469453%14.5%135814.236958%14.236958%14.2%584913.498115%13.498115%13.5%7,84213.498115%13.498115%13.5%7,84213.108495%13.108495%13.1%4121013.020590%13.020590%13.0%27,818,38027.8M12.486428%12.486428%12.5%2301112.170889%12.170889%12.2%2451211.318242%11.318242%11.3%851311.111111%11.111111%11.1%1291411.095700%11.095700%11.1%1601510.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M9.180227%9.180227%9.2%299169.052334%9.052334%9.1%64178.178439%8.178439%8.2%22187.264472%7.264472%7.3%448196.735751%6.735751%6.7%78206.571243%6.571243%6.6%101215.392157%5.392157%5.4%11225.255682%5.255682%5.3%111234.560261%4.560261%4.6%28244.473503%4.473503%4.5%130252.339181%2.339181%2.3%826
Count number of people in category
# rank of county subdivision out of 26 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 Muskingum County, selected county subdivisions in Muskingum County, and entities that contain Muskingum County
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralCass TownshipLicking TownshipLickingOhioUnion TownshipUnionPerry TownshipPerryFalls TownshipFallsHopewell TownshipHopewellMuskingum TownshipMuskingumRich Hill TownshipRich HlMeigs TownshipMeigsZanesville Metro AreaZanesvilleMuskingum CountyMuskingumWashington TownshipWashingtonHighland TownshipHighlandJefferson TownshipJeffersonZanesvilleWayne TownshipWayneAdams TownshipAdamsSalem TownshipSalemSpringfield TownshipSpringfieldHarrison TownshipHarrisonMadison TownshipMadisonClay TownshipNewton TownshipNewtonJackson TownshipJacksonBrush Creek TownshipBrush CrkBlue Rock TownshipBlue RockMonroe TownshipMonroeSalt Creek TownshipSalt Crk30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.423773%28.423773%28.4%330128.366949%28.366949%28.4%436226.667466%26.667466%26.7%2,092,8752.09M26.136364%26.136364%26.1%552324.104235%24.104235%24.1%444424.095995%24.095995%24.1%1,486524.043716%24.043716%24.0%484623.448934%23.448934%23.4%737718.959108%18.959108%19.0%51817.647059%17.647059%17.6%36915.066182%15.066182%15.1%8,75315.066182%15.066182%15.1%8,75314.487268%14.487268%14.5%4211012.871287%12.871287%12.9%911112.607945%12.607945%12.6%1461212.102364%12.102364%12.1%2,0431310.868898%10.868898%10.9%3541410.515021%10.515021%10.5%49159.283388%9.283388%9.3%57169.019990%9.019990%9.0%370178.145766%8.145766%8.1%76187.894737%7.894737%7.9%27197.303371%7.303371%7.3%52207.204212%7.204212%7.2%260216.934813%6.934813%6.9%100226.820682%6.820682%6.8%62236.554622%6.554622%6.6%39245.283019%5.283019%5.3%14254.793609%4.793609%4.8%3626
Count number of people in category
# rank of county subdivision out of 26 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 Muskingum County, selected county subdivisions in Muskingum County, and entities that contain Muskingum County
0%1%2%3%Count#Highland TownshipHighlandMadison TownshipMadisonUnited States of AmericaUnited StatesHopewell TownshipHopewellMidwestEast North CentralOhioUnion TownshipUnionFalls TownshipFallsJefferson TownshipJeffersonAdams TownshipAdamsZanesvilleZanesville Metro AreaZanesvilleMuskingum CountyMuskingumNewton TownshipNewtonWashington TownshipWashingtonSpringfield TownshipSpringfieldPerry TownshipPerryClay TownshipJackson TownshipJacksonWayne TownshipWayneMuskingum TownshipMuskingumLicking TownshipLickingCass TownshipHarrison TownshipHarrisonBrush Creek TownshipBrush CrkSalt Creek TownshipSalt CrkSalem TownshipSalemBlue Rock TownshipBlue RockRich Hill TownshipRich HlMonroe TownshipMonroeMeigs TownshipMeigs3.677511%3.677511%3.7%2613.508772%3.508772%3.5%1223.336158%3.336158%3.3%7,127,6737.13M2.930949%2.930949%2.9%5932.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.320076%2.320076%2.3%4941.880979%1.880979%1.9%11651.381693%1.381693%1.4%1661.287554%1.287554%1.3%671.249926%1.249926%1.2%21180.984560%0.984560%1.0%5720.984560%0.984560%1.0%5720.914381%0.914381%0.9%3390.481762%0.481762%0.5%14100.438810%0.438810%0.4%18110.434311%0.434311%0.4%8120.280899%0.280899%0.3%2130.138696%0.138696%0.1%2140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%026
Count number of people in category
# rank of county subdivision out of 26 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 Muskingum County, selected county subdivisions in Muskingum County, and entities that contain Muskingum County
Female
Male
10x5x0x5x10xFM#MeigsMonroeWayneWashingtonAdamsSalemUnionBrush CrkCass TownshipPerryLickingZanesvilleZanesvilleMuskingumFallsHarrisonNewtonMidwestEast North CentralUnited StatesOhioClay TownshipSpringfieldJacksonMuskingumHighlandHopewellRich HlBlue RockSalt CrkJeffersonMadison-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.340%11.3%1-1.000000x-1.000000x4.762195x4.762195x4.76x5.634%5.63%26.829%26.8%2-1.000000x-1.000000x4.316967x4.316967x4.32x3.636%3.64%15.698%15.7%3-1.000000x-1.000000x2.812713x2.812713x2.81x2.322%2.32%6.532%6.53%4-1.000000x-1.000000x2.397959x2.397959x2.40x11.915%11.9%28.571%28.6%5-1.000000x-1.000000x2.054896x2.054896x2.05x2.888%2.89%5.935%5.93%6-1.000000x-1.000000x1.744997x1.744997x1.74x3.942%3.94%6.878%6.88%7-1.000000x-1.000000x1.540063x1.540063x1.54x19.654%19.7%30.269%30.3%8-1.000000x-1.000000x1.524283x1.524283x1.52x8.711%8.71%13.279%13.3%9-1.000000x-1.000000x1.443599x1.443599x1.44x10.168%10.2%14.678%14.7%10-1.000000x-1.000000x1.368283x1.368283x1.37x5.556%5.56%7.602%7.60%11-1.000000x-1.000000x1.319553x1.319553x1.32x16.852%16.9%22.237%22.2%12-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%-1.000000x-1.000000x1.173614x1.173614x1.17x6.718%6.72%7.884%7.88%13-1.000000x-1.000000x1.173394x1.173394x1.17x13.424%13.4%15.752%15.8%14-1.000000x-1.000000x1.144382x1.144382x1.14x19.172%19.2%21.940%21.9%15-1.000000x-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-1.000000x1.016137x1.016137x1.02x18.256%18.3%18.551%18.6%16-1.022000x-1.022000x1.02x1.000000x1.000000x14.387%14.4%14.077%14.1%17-1.074835x-1.074835x1.07x1.000000x1.000000x11.506%11.5%10.705%10.7%18-1.409584x-1.409584x1.41x1.000000x1.000000x15.298%15.3%10.853%10.9%19-1.473684x-1.473684x1.47x1.000000x1.000000x10.526%10.5%7.143%7.14%20-1.675545x-1.675545x1.68x1.000000x1.000000x15.393%15.4%9.187%9.19%21-1.934300x-1.934300x1.93x1.000000x1.000000x11.304%11.3%5.844%5.84%22-2.027656x-2.027656x2.03x1.000000x1.000000x19.799%19.8%9.764%9.76%23-2.275282x-2.275282x2.28x1.000000x1.000000x15.733%15.7%6.915%6.91%24-4.460784x-4.460784x4.46x1.000000x1.000000x10.621%10.6%2.381%2.38%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.762%4.76%0.000%0%26
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 26 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 Muskingum County, selected county subdivisions in Muskingum County, and entities that contain Muskingum County
Female
Male
10x5x0x5x10xFM#SpringfieldClay TownshipUnionZanesvilleFallsJeffersonHighlandOhioEast North CentralZanesvilleMuskingumMidwestUnited StatesHopewellMadisonNewtonWashingtonPerryJacksonAdams-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.905%0.90%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.580%0.58%2-1.000000x-1.000000x4.816190x4.816190x4.82x0.857%0.86%4.127%4.13%3-1.000000x-1.000000x2.499200x2.499200x2.50x0.756%0.76%1.889%1.89%4-1.000000x-1.000000x2.071526x2.071526x2.07x1.252%1.25%2.593%2.59%5-1.000000x-1.000000x1.868132x1.868132x1.87x0.980%0.98%1.832%1.83%6-1.000000x-1.000000x1.766529x1.766529x1.77x2.757%2.76%4.870%4.87%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.097856x1.097856x1.10x2.789%2.79%3.062%3.06%8-1.035714x-1.035714x1.04x1.000000x1.000000x3.571%3.57%3.448%3.45%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.797%1.80%0.000%0%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.985%0.99%0.000%0%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.894%0.89%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.284%0.28%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.553%2.55%0.000%0%14
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 14 by male-to-female sex ratio

Educational Attainment by County in Ohio

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

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Muskingum County, selected other counties in Ohio, and entities that contain Muskingum County
0%5%10%15%Count#Scioto CountySciotoWayne CountyWayneAshtabula CountyAshtabulaLawrence CountyLawrenceRoss CountyRossTuscarawas CountyTuscarawasZanesville Metro AreaZanesvilleMuskingum CountyMuskingumMarion CountyMarionUnited States of AmericaUnited StatesPickaway CountyPickawayRichland CountyRichlandClark CountyClarkAshland CountyAshlandColumbiana CountyColumbianaHuron CountyHuronCuyahoga CountyCuyahogaLucas CountyLucasTrumbull CountyTrumbullDarke CountyDarkeMiami CountyMiamiLorain CountyLorainEast North CentralAllen CountyAllenSandusky CountySanduskyOhioKnox CountyKnoxClermont CountyClermontMontgomery CountyMontgomeryAthens CountyAthensButler CountyButlerMidwestBelmont CountyBelmontJefferson CountyJeffersonMahoning CountyMahoningHamilton 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%7,84213.498115%13.498115%13.5%7,842713.413630%13.413630%13.4%6,192813.020590%13.020590%13.0%27,818,38027.8M12.917789%12.917789%12.9%5,036912.809922%12.809922%12.8%10,88610.9k1012.792826%12.792826%12.8%11,88311.9k1112.567763%12.567763%12.6%4,4281212.374124%12.374124%12.4%9,3021312.286515%12.286515%12.3%4,8201411.473065%11.473065%11.5%100,034100k1511.204220%11.204220%11.2%32,51732.5k1611.138115%11.138115%11.1%16,17816.2k1711.073863%11.073863%11.1%3,9311810.912923%10.912923%10.9%7,8191910.838036%10.838036%10.8%22,53022.5k2010.719464%10.719464%10.7%3,363,7843.36M10.716657%10.716657%10.7%7,4262110.672042%10.672042%10.7%4,3942210.514146%10.514146%10.5%825,155825k10.433639%10.433639%10.4%4,1242310.407526%10.407526%10.4%14,16114.2k2410.369633%10.369633%10.4%37,59537.6k2510.342892%10.342892%10.3%3,6862610.314030%10.314030%10.3%24,52824.5k2710.244520%10.244520%10.2%4,641,8354.64M10.147068%10.147068%10.1%5,1542810.108764%10.108764%10.1%4,833299.896656%9.896656%9.9%16,29916.3k309.873275%9.873275%9.9%53,29153.3k319.795325%9.795325%9.8%4,245329.640656%9.640656%9.6%78,29978.3k339.609394%9.609394%9.6%10,95011.0k349.565083%9.565083%9.6%24,75324.8k359.415905%9.415905%9.4%5,057369.300022%9.300022%9.3%3,004379.244310%9.244310%9.2%3,424389.016560%9.016560%9.0%33,82433.8k398.928599%8.928599%8.9%5,691408.257364%8.257364%8.3%8,306418.081706%8.081706%8.1%8,364428.064021%8.064021%8.1%2,892438.051408%8.051408%8.1%13,15613.2k447.505079%7.505079%7.5%3,842457.394980%7.394980%7.4%8,066467.119778%7.119778%7.1%10,53310.5k476.360906%6.360906%6.4%7,689485.919879%5.919879%5.9%4,714493.378461%3.378461%3.4%4,15050
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Muskingum County, selected other counties in Ohio, and entities that contain Muskingum County
0%10%20%30%40%50%Count#Delaware CountyDelawareWarren CountyWarrenFranklin CountyFranklinGreene CountyGreeneGeauga CountyGeaugaHamilton CountyHamiltonWood CountyWoodMedina CountyMedinaCuyahoga CountyCuyahogaSummit CountySummitUnited States of AmericaUnited StatesButler CountyButlerAthens CountyAthensUnion CountyUnionMidwestEast North CentralClermont CountyClermontPortage CountyPortageLake CountyLakeOhioFairfield CountyFairfieldMontgomery CountyMontgomeryHancock CountyHancockLucas CountyLucasLorain CountyLorainLicking CountyLickingMahoning CountyMahoningStark CountyStarkKnox CountyKnoxErie CountyErieWayne CountyWayneMiami CountyMiamiAshland CountyAshlandWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullAllen CountyAllenPickaway CountyPickawayShelby CountyShelbyBelmont CountyBelmontRichland CountyRichlandJefferson CountyJeffersonRoss CountyRossZanesville Metro AreaZanesvilleMuskingum CountyMuskingumScioto CountySciotoTuscarawas CountyTuscarawasSandusky CountySanduskySeneca CountySenecaLawrence CountyLawrenceColumbiana CountyColumbianaHuron CountyHuronAshtabula CountyAshtabulaDarke CountyDarkeMarion CountyMarion52.455693%52.455693%52.5%64,43564.4k140.956469%40.956469%41.0%60,59160.6k238.352941%38.352941%38.4%311,493311k337.647835%37.647835%37.6%41,06441.1k437.269176%37.269176%37.3%23,75523.8k535.595553%35.595553%35.6%192,127192k631.682783%31.682783%31.7%25,22925.2k731.455422%31.455422%31.5%38,02338.0k830.891280%30.891280%30.9%269,342269k930.713722%30.713722%30.7%115,217115k1030.315023%30.315023%30.3%64,767,78764.8M29.134358%29.134358%29.1%69,28569.3k1129.126214%29.126214%29.1%10,38010.4k1229.091264%29.091264%29.1%10,43310.4k1328.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.618418%27.618418%27.6%37,57937.6k1427.280106%27.280106%27.3%28,23328.2k1527.039780%27.039780%27.0%44,18344.2k1626.667466%26.667466%26.7%2,092,8752.09M26.410442%26.410442%26.4%26,56626.6k1726.143225%26.143225%26.1%94,78294.8k1825.838022%25.838022%25.8%13,22713.2k1925.090190%25.090190%25.1%72,81772.8k2023.488664%23.488664%23.5%48,82848.8k2123.329326%23.329326%23.3%26,58426.6k2222.789814%22.789814%22.8%37,53337.5k2322.631528%22.631528%22.6%58,56758.6k2421.891919%21.891919%21.9%8,6532521.593088%21.593088%21.6%11,59711.6k2621.467650%21.467650%21.5%16,24516.2k2721.063797%21.063797%21.1%15,09215.1k2819.637840%19.637840%19.6%6,9192918.409212%18.409212%18.4%7,9783017.966799%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%8,75315.066182%15.066182%15.1%8,7534014.993788%14.993788%15.0%7,9654114.979782%14.979782%15.0%9,5954214.815534%14.815534%14.8%6,1004314.711520%14.711520%14.7%5,4494414.142924%14.142924%14.1%6,0564513.935855%13.935855%13.9%10,47610.5k4613.479480%13.479480%13.5%5,2884713.119186%13.119186%13.1%9,0264813.093695%13.093695%13.1%4,6484912.295828%12.295828%12.3%5,67650
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Muskingum County, selected other counties in Ohio, and entities that contain Muskingum County
0%1%2%3%4%5%Count#Athens CountyAthensDelaware CountyDelawareGreene CountyGreeneFranklin CountyFranklinHamilton CountyHamiltonCuyahoga CountyCuyahogaWarren CountyWarrenWood CountyWoodUnited States of AmericaUnited StatesGeauga CountyGeaugaSummit CountySummitLucas CountyLucasMidwestEast North CentralOhioUnion CountyUnionPortage CountyPortageKnox CountyKnoxButler CountyButlerMontgomery CountyMontgomeryLicking CountyLickingErie CountyErieMedina CountyMedinaWayne CountyWayneMahoning CountyMahoningLake CountyLakeAllen CountyAllenLorain CountyLorainStark CountyStarkHancock CountyHancockAshland CountyAshlandClermont CountyClermontFairfield CountyFairfieldJefferson CountyJeffersonWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullRoss CountyRossScioto CountySciotoLawrence CountyLawrenceMiami CountyMiamiRichland CountyRichlandShelby CountyShelbyPickaway CountyPickawayBelmont CountyBelmontZanesville Metro AreaZanesvilleMuskingum CountyMuskingumAshtabula CountyAshtabulaColumbiana CountyColumbianaSandusky CountySanduskySeneca CountySenecaMarion CountyMarionHuron CountyHuronTuscarawas CountyTuscarawasDarke CountyDarke5.390314%5.390314%5.4%1,92115.031057%5.031057%5.0%6,18024.454774%4.454774%4.5%4,85934.335519%4.335519%4.3%35,21235.2k44.198425%4.198425%4.2%22,66122.7k54.184410%4.184410%4.2%36,48436.5k63.623766%3.623766%3.6%5,36173.600402%3.600402%3.6%2,86783.336158%3.336158%3.3%7,127,6737.13M3.260170%3.260170%3.3%2,07893.147959%3.147959%3.1%11,80911.8k102.925012%2.925012%2.9%8,489112.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.506762%2.506762%2.5%899122.505483%2.505483%2.5%2,593132.474321%2.474321%2.5%978142.445209%2.445209%2.4%5,815152.444911%2.444911%2.4%8,864162.283438%2.283438%2.3%2,602172.256689%2.256689%2.3%1,212182.239430%2.239430%2.2%2,707192.226715%2.226715%2.2%1,685202.131251%2.131251%2.1%3,510212.086903%2.086903%2.1%3,410222.046353%2.046353%2.0%1,418232.027141%2.027141%2.0%4,214241.963406%1.963406%2.0%5,081251.906548%1.906548%1.9%976261.867567%1.867567%1.9%658271.832213%1.832213%1.8%2,493281.755659%1.755659%1.8%1,766291.604267%1.604267%1.6%767301.589865%1.589865%1.6%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%5720.984560%0.984560%1.0%572420.899709%0.899709%0.9%619430.895268%0.895268%0.9%673440.871931%0.871931%0.9%359450.861254%0.861254%0.9%319460.847017%0.847017%0.8%391470.830997%0.830997%0.8%326480.771236%0.771236%0.8%494490.546510%0.546510%0.5%19450
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Muskingum County, selected other counties in Ohio, and entities that contain Muskingum County
Female
Male
1x0x1xFM#PickawayWarrenRichlandShelbyAthensHancockMarionClermontLorainTuscarawasDelawareHuronKnoxAshlandZanesvilleMuskingumLucasMahoningTrumbullWayneGeaugaClarkLawrenceDarkeLakeMidwestEast North CentralBelmontAshtabulaWashingtonUnited 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%-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%15-1.000000x-1.000000x1.169306x1.169306x1.17x10.373%10.4%12.129%12.1%16-1.000000x-1.000000x1.158437x1.158437x1.16x9.203%9.20%10.662%10.7%17-1.000000x-1.000000x1.157733x1.157733x1.16x10.358%10.4%11.992%12.0%18-1.000000x-1.000000x1.151379x1.151379x1.15x13.576%13.6%15.631%15.6%19-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%20-1.000000x-1.000000x1.150715x1.150715x1.15x11.939%11.9%13.739%13.7%21-1.000000x-1.000000x1.140157x1.140157x1.14x13.451%13.5%15.336%15.3%22-1.000000x-1.000000x1.139879x1.139879x1.14x10.372%10.4%11.823%11.8%23-1.000000x-1.000000x1.134887x1.134887x1.13x7.564%7.56%8.584%8.58%24-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.122752x1.122752x1.12x9.558%9.56%10.731%10.7%25-1.000000x-1.000000x1.121822x1.121822x1.12x13.739%13.7%15.412%15.4%26-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%27-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104033x1.104033x1.10x6.055%6.06%6.685%6.69%28-1.000000x-1.000000x1.090568x1.090568x1.09x13.607%13.6%14.839%14.8%29-1.000000x-1.000000x1.079648x1.079648x1.08x10.276%10.3%11.095%11.1%30-1.000000x-1.000000x1.070676x1.070676x1.07x9.106%9.11%9.749%9.75%31-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%32-1.000000x-1.000000x1.067772x1.067772x1.07x10.371%10.4%11.074%11.1%33-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%34-1.000000x-1.000000x1.047665x1.047665x1.05x8.071%8.07%8.455%8.46%35-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%36-1.000000x-1.000000x1.041562x1.041562x1.04x9.421%9.42%9.813%9.81%37-1.000000x-1.000000x1.037009x1.037009x1.04x10.193%10.2%10.570%10.6%38-1.000000x-1.000000x1.036905x1.036905x1.04x7.939%7.94%8.232%8.23%39-1.000000x-1.000000x1.033630x1.033630x1.03x15.627%15.6%16.153%16.2%40-1.000000x-1.000000x1.031161x1.031161x1.03x9.426%9.43%9.720%9.72%41-1.000000x-1.000000x1.020140x1.020140x1.02x9.155%9.15%9.339%9.34%42-1.000000x-1.000000x1.012905x1.012905x1.01x9.814%9.81%9.941%9.94%43-1.000000x-1.000000x1.004137x1.004137x1.00x10.089%10.1%10.131%10.1%44-1.022047x-1.022047x1.02x1.000000x1.000000x12.509%12.5%12.239%12.2%45-1.030592x-1.030592x1.03x1.000000x1.000000x7.503%7.50%7.280%7.28%46-1.057764x-1.057764x1.06x1.000000x1.000000x9.256%9.26%8.751%8.75%47-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%48-1.131015x-1.131015x1.13x1.000000x1.000000x11.559%11.6%10.220%10.2%49-1.420116x-1.420116x1.42x1.000000x1.000000x9.358%9.36%6.590%6.59%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Muskingum County, selected other counties in Ohio, and entities that contain Muskingum County
Female
Male
1x0x1x2x3xFM#MiamiColumbianaClarkJeffersonLawrenceAshtabulaMahoningWashingtonMontgomeryErieLorainBelmontAthensGreeneHancockGeaugaSciotoRichlandPortageDarkeButlerClermontTrumbullAllenCuyahogaOhioStarkWayneWoodAshlandSenecaTuscarawasDelawareFairfieldSummitHamiltonEast North CentralZanesvilleMuskingumMidwestFranklinHuronUnited 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%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%36-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%37-1.000000x-1.000000x1.532147x1.532147x1.53x0.661%0.66%1.013%1.01%38-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522652x1.522652x1.52x0.883%0.88%1.344%1.34%39-1.000000x-1.000000x1.506598x1.506598x1.51x2.027%2.03%3.053%3.05%40-1.000000x-1.000000x1.490387x1.490387x1.49x1.019%1.02%1.519%1.52%41-1.000000x-1.000000x1.481268x1.481268x1.48x2.009%2.01%2.976%2.98%42-1.000000x-1.000000x1.471795x1.471795x1.47x2.940%2.94%4.327%4.33%43-1.000000x-1.000000x1.469621x1.469621x1.47x1.863%1.86%2.738%2.74%44-1.000000x-1.000000x1.461851x1.461851x1.46x1.709%1.71%2.499%2.50%45-1.000000x-1.000000x1.435534x1.435534x1.44x2.425%2.43%3.481%3.48%46-1.000000x-1.000000x1.406400x1.406400x1.41x1.871%1.87%2.631%2.63%47-1.000000x-1.000000x1.250193x1.250193x1.25x0.968%0.97%1.210%1.21%48-1.000000x-1.000000x1.242747x1.242747x1.24x0.780%0.78%0.970%0.97%49-1.000000x-1.000000x1.220919x1.220919x1.22x0.758%0.76%0.925%0.93%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

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

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Muskingum County, selected other counties in the United States, and entities that contain Muskingum 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 DiegoZanesville Metro AreaZanesvilleMuskingum CountyMuskingumSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralOhioMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin 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%293,959294k1813.498115%13.498115%13.5%7,84213.498115%13.498115%13.5%7,84213.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Muskingum County, selected other counties in the United States, and entities that contain Muskingum County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralMiami-Dade CountyMiami-DadeBexar CountyBexarOhioPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronxZanesville Metro AreaZanesvilleMuskingum CountyMuskingum60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k5015.066182%15.066182%15.1%8,75315.066182%15.066182%15.1%8,753
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 Muskingum County, selected other counties in the United States, and entities that contain Muskingum County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensOhioFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronxZanesville Metro AreaZanesvilleMuskingum CountyMuskingum12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.683241%2.683241%2.7%210,582211k2.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k500.984560%0.984560%1.0%5720.984560%0.984560%1.0%572
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 Muskingum County, selected other counties in the United States, and entities that contain Muskingum County
Female
Male
1x0x1xFM#MecklenburgPalm BeachZanesvilleMuskingumWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOhioOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Muskingum County, selected other counties in the United States, and entities that contain Muskingum County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeOhioBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyZanesvilleMuskingumMidwestNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited 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-1.000000x1.685640x1.685640x1.69x2.336%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-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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More Maps to Explore

Principal City:
Zanesville
Cities:
Zanesville
Townships:
Adams, Blue Rock, Brush Creek, Cass, Clay, Falls, Harrison, Highland, Hopewell, Jackson, Jefferson, Licking, Madison, Meigs, Monroe, Muskingum, Newton, Perry, Rich Hill, Salem, Salt Creek, Springfield, Union, Washington, Wayne
Unincorporated Places:
Duncan Falls, East Fultonham, North Zanesville, Pleasant Grove, Trinway
Villages:
Adamsville, Dresden, Frazeysburg, Fultonham, Gratiot, New Concord, Norwich, Philo, Roseville, South Zanesville
ZIP Codes:
43701, 43720, 43727, 43732, 43734, 43735, 43738, 43740, 43746, 43760, 43762, 43767, 43771, 43777, 43802, 43812, 43821, 43822, 43830, 43842
Unified School Districts:
East Muskingum, Franklin, Licking Valley, Maysville, Morgan, River View, Rolling Hills, Tri-Valley, West Muskingum, Zanesville
Congressional Districts:
OH-6, OH-12
State Senate District:
OH-20
State House Districts:
OH-78, OH-97
Neighboring Counties:
Coshocton, Guernsey, Licking, Morgan, Noble, Perry
Nearby Counties:
Athens, Fairfield, Harrison, Hocking, Holmes, Knox, Monroe, Tuscarawas, Washington, Wood