Educational Attainment in Morrow County, Ohio (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ohio and Morrow County
Morrow County
Ohio
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma222.303674%35.063314%22.303674%22.3%5,29463.759690%54.422540%63.759690%63.8%15,13415.1k13.936636%10.514146%13.936636%13.9%3,308
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 Morrow County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-36.390286%-36.390286%-36.4%22.304%22.3%35.063%35.1%17.156769%17.156769%+17.2%63.760%63.8%54.423%54.4%32.551294%32.551294%+32.6%13.937%13.9%10.514%10.5%
% percentage with given level in Morrow 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 Morrow County
Morrow County
Ohio
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.058982%1.076166%0.058982%0.1%140.564543%1.607075%0.564543%0.6%1343.458881%7.279494%3.458881%3.5%8219.424503%16.704731%9.424503%9.4%2,2378.796764%8.395848%8.796764%8.8%2,08818.271823%20.603422%18.271823%18.3%4,33745.487867%33.819119%45.487867%45.5%10,79710.8k10.237614%7.545636%10.237614%10.2%2,4302.725817%2.095069%2.725817%2.7%6470.973205%0.873440%0.973205%1.0%231
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 Morrow County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-94.519234%-94.519234%-94.5%0.059%0.06%1.076%1.08%-64.871382%-64.871382%-64.9%0.565%0.56%1.607%1.61%-52.484592%-52.484592%-52.5%3.459%3.46%7.279%7.28%-43.581835%-43.581835%-43.6%9.425%9.42%16.705%16.7%4.775177%4.775177%+4.8%8.797%8.80%8.396%8.40%-11.316558%-11.316558%-11.3%18.272%18.3%20.603%20.6%34.503406%34.503406%+34.5%45.488%45.5%33.819%33.8%35.675952%35.675952%+35.7%10.238%10.2%7.546%7.55%30.106310%30.106310%+30.1%2.726%2.73%2.095%2.10%11.422064%11.422064%+11.4%0.973%0.97%0.873%0.87%
% percentage with given level in Morrow 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 Morrow County
More Females More Males
Ohio
Morrow County
30%20%10%0%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-32.349604%-7.885240%-32.349604%32%25.352%25.4%19.156%19.2%8.343278%2.984493%8.343278%8%61.246%61.2%66.356%66.4%8.109986%10.536340%8.109986%8%13.402%13.4%14.489%14.5%
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 Morrow County
More Females More Males
Ohio
Morrow County
0%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None158.134955%65.373714%158.134955%158%0.033%0.03%0.086%0.09%328.901155%68.015763%328.901155%329%0.216%0.22%0.925%0.92%-179.988743%-21.244079%-179.988743%180%5.059%5.06%1.807%1.81%1.878485%0.726598%1.878485%2%9.338%9.34%9.514%9.51%-56.877663%-39.383112%-56.877663%57%10.707%10.7%6.825%6.82%-0.103999%0.575112%0.575112%1%18.220%18.2%18.325%18.3%11.632919%4.911287%11.632919%12%43.025%43.0%48.030%48.0%2.071039%10.693269%2.071039%2%10.134%10.1%10.344%10.3%27.906317%11.385964%27.906317%28%2.397%2.40%3.066%3.07%23.904778%7.203042%23.904778%24%0.871%0.87%1.079%1.08%
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 Morrow County
Morrow County
Ohio
0%5%10%15%20%B.X.Total65+45-6435-4425-348.368431%11.168673%8.368431%8.4%4575,4619.202154%15.925332%9.202154%9.2%94010,21510.2k9.921788%19.733657%9.921788%9.9%4444,47511.046025%22.259142%11.046025%11.0%3963,585
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 Morrow County
50%40%30%20%10%0%%ref.65+45-6435-4425-34-25.072290%-25.072290%25.1%8.368%8.37%11.169%11.2%-42.216879%-42.216879%42.2%9.202%9.20%15.925%15.9%-49.721495%-49.721495%49.7%9.922%9.92%19.734%19.7%-50.375333%-50.375333%50.4%11.046%11.0%22.259%22.3%
% percentage in Morrow 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 Morrow County
More Females More Males
Ohio
Morrow County
10%0%10%20%30%FM65+45-6435-4425-34-9.372809%-9.372809%9.4%36.828803%8.713%8.71%7.967%7.97%-0.054549%7.591372%7.591372%7.6%8.863%8.86%9.536%9.54%-0.507024%-14.012939%-0.507024%0.5%9.947%9.95%9.897%9.90%-14.499975%2.091667%2.091667%2.1%10.932%10.9%11.161%11.2%
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 Morrow County
Morrow County
Ohio
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$57,274.000000$63,821.000000$57,274.000000$57.3k9694.082%4.08%$44,726.000000$50,107.000000$44,726.000000$44.7k2,2379.425%9.42%$34,280.000000$32,706.000000$34,280.000000$34.3k6,42527.069%27.1%$31,432.000000$28,919.000000$31,432.000000$31.4k10,79710.8k45.488%45.5%$18,529.000000$20,344.000000$18,529.000000$18.5k3,30813.937%13.9%$33,376.000000$35,841.000000$33,376.000000$33.4k23,73623.7k100.000%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 Morrow County
Female Male
Ohio
Morrow County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-57,168.000000$-55,571.000000$-57,168.000000$57.2k$57,168.000000$332.000000$55,571.000000$22,109.000000$57,500.000000$57.5k640329$-39,635.000000$-40,856.000000$-39,635.000000$39.6k$39,635.000000$15,240.000000$40,856.000000$20,405.000000$54,875.000000$54.9k1,1261,111$-30,700.000000$-27,361.000000$-30,700.000000$30.7k$30,700.000000$11,800.000000$27,361.000000$13,780.000000$42,500.000000$42.5k3,4882,937$-25,050.000000$-22,081.000000$-25,050.000000$25.1k$25,050.000000$12,588.000000$22,081.000000$13,410.000000$37,638.000000$37.6k5,1885,609$-11,435.000000$-15,062.000000$-11,435.000000$11.4k$11,435.000000$18,961.000000$15,062.000000$9,409.000000$30,396.000000$30.4k1,6161,692$-27,962.000000$-29,749.000000$-27,962.000000$28.0k$27,962.000000$12,182.000000$29,749.000000$12,566.000000$40,144.000000$40.1k12,05812.1k11,67811.7k
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 Morrow County
Morrow County
Ohio
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%51.152074%100.000000%100.0%160.000000%0.000000%0.0%41.442873%00.000000%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 Morrow County
Morrow County
Ohio
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.821293%84.712194%88.821293%88.8%2,33680.748175%75.098475%80.748175%80.7%4,42572.312623%67.335954%72.312623%72.3%5,86647.783731%44.096181%47.783731%47.8%981
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 Morrow County
Female Male
Ohio
Morrow County
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-13.309627%-8.849949%-13.309627%13.3%13.309627%0.695460%8.849949%0.838407%14.005086%14.0%1,5971,572-0.000000%-14.710486%0.000000%0.0%0.000000%28.571429%14.710486%2.396424%28.571429%28.6%40-0.000000%-10.995328%-3.238870%0.000000%0.0%0.000000%0.000000%10.995328%0.000000%0.0%00-2.631579%-23.269744%-2.631579%2.6%2.631579%15.386439%23.269744%5.740390%18.018018%18.0%202-29.530201%-16.869350%-29.530201%29.5%29.530201%11.041227%16.869350%3.904344%40.571429%40.6%7144
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 Morrow County
Female Male
Ohio
Morrow County
Shaded bar tips show excess over facing bar.
50%0%50%100%MFWhite1BlackAsianHispanic2Other1-12.461633%-2.363530%-27.409880%-14.825163%14.8%12.461633%27.409880%0.383981%12.461633%12.5%1,4211,751-0.000000%-14.337282%-3.326272%0.000000%0.0%0.000000%0.000000%14.337282%0.000000%0.0%00-0.000000%-55.571247%0.000000%0.0%0.000000%100.000000%55.571247%11.025101%100.000000%100.0%100-0.000000%-2.631579%-15.825016%-4.164425%-2.631579%2.6%0.000000%15.825016%0.000000%0.0%02-5.142857%-3.581975%-18.226192%-3.481943%-8.724832%8.7%5.142857%18.226192%5.142857%5.1%913
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 Morrow County

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.7%12.9%17.1%21.2%25.4%29.6%

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%56%63%69%75%81%

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
1%8%15%21%28%35%

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%0.24%0.48%0.73%0.97%1.22%

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%0.48%0.96%1.45%1.93%2.42%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.9%3.9%5.8%7.8%9.8%

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
3.6%6.2%8.6%11.1%13.6%16.1%

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%5.3%7.9%10.5%13.1%15.8%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
7.7%11.2%14.7%18.1%21.5%25.0%

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%35%41%46%52%58%

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
1.9%5.8%9.6%13.4%17.2%21.0%

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
0.0%2.1%4.1%6.2%8.3%10.4%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.2%1.7%2.3%2.9%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Morrow 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
18.7%20.1%21.3%22.6%23.9%25.2%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
57.6%59.7%61.8%63.9%65.9%68.1%

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
7.7%10.0%12.2%14.4%16.6%18.9%

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%0.05%0.10%0.15%0.20%0.26%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.04%0.24%0.44%0.63%0.83%1.03%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%2.1%2.7%3.3%3.8%4.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.0%8.7%9.3%10.0%10.7%11.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.0%6.7%8.3%9.9%11.5%13.2%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
15.3%16.7%18.1%19.5%20.8%22.2%

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
35.4%38.9%42.3%45.8%49.2%52.6%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
5.4%7.0%8.5%10.1%11.6%13.1%

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
0.8%1.5%2.2%2.8%3.5%4.2%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.33%0.66%0.99%1.33%1.66%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Morrow County

There are 10 places that are fully or partially contained within Morrow County (9 fully and 1 partially). This section compares all 10 of those to each other, Morrow County, and other entities that contain or substantially overlap with Morrow 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 Morrow County, selected places in Morrow County, and entities that contain Morrow County
0%5%10%15%Count#EdisonIberiaMorrow CountyMorrowCardingtonChestervilleCandlewood LakeCandlewood LkUnited States of AmericaUnited StatesGalionMarengoEast North CentralOhioMidwestFultonColumbus Metro AreaColumbus AreaMount GileadSparta15.410959%15.410959%15.4%45114.368932%14.368932%14.4%74213.936636%13.936636%13.9%3,30813.810316%13.810316%13.8%166313.492063%13.492063%13.5%17413.055556%13.055556%13.1%94513.020590%13.020590%13.0%27,818,38027.8M11.639227%11.639227%11.6%813610.775862%10.775862%10.8%25710.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.204082%10.204082%10.2%1589.314501%9.314501%9.3%123,226123k6.466043%6.466043%6.5%15991.075269%1.075269%1.1%110
Count number of people in category
# rank of place out of 10 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 Morrow County, selected places in Morrow County, and entities that contain Morrow County
0%10%20%30%Count#Columbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesMidwestCandlewood LakeCandlewood LkEast North CentralOhioChestervilleMount GileadMorrow CountyMorrowGalionMarengoCardingtonSpartaEdisonFultonIberia34.785494%34.785494%34.8%460,194460k30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.888889%28.888889%28.9%208128.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M20.634921%20.634921%20.6%26219.235462%19.235462%19.2%473313.506909%13.506909%13.5%3,2069.935576%9.935576%9.9%69448.620690%8.620690%8.6%2057.820300%7.820300%7.8%9467.526882%7.526882%7.5%776.164384%6.164384%6.2%1885.442177%5.442177%5.4%895.048544%5.048544%5.0%2610
Count number of people in category
# rank of place out of 10 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 Morrow County, selected places in Morrow County, and entities that contain Morrow County
0%1%2%3%4%Count#Candlewood LakeCandlewood LkColumbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesMidwestEast North CentralOhioMarengoMorrow CountyMorrowMount GileadGalionCardingtonIberiaEdisonFultonChestervilleSparta4.166667%4.166667%4.2%3013.620928%3.620928%3.6%47,90347.9k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.586207%2.586207%2.6%620.623525%0.623525%0.6%1480.528670%0.528670%0.5%1330.515390%0.515390%0.5%3640.000000%0.000000%0.0%050.000000%0.000000%0.0%060.000000%0.000000%0.0%070.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%010
Count number of people in category
# rank of place out of 10 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 Morrow County, selected places in Morrow County, and entities that contain Morrow County
Female
Male
10x5x0x5xFM#IberiaFultonChestervilleMarengoMount GileadEdisonCardingtonMidwestEast North CentralGalionUnited StatesOhioColumbus AreaMorrowCandlewood LkSparta-1.000000x-1.000000x5.498917x5.498917x5.50x4.202%4.20%23.105%23.1%1-1.000000x-1.000000x4.166667x4.166667x4.17x4.000%4.00%16.667%16.7%2-1.000000x-1.000000x1.904762x1.904762x1.90x9.722%9.72%18.519%18.5%3-1.000000x-1.000000x1.883130x1.883130x1.88x7.339%7.34%13.821%13.8%4-1.000000x-1.000000x1.433801x1.433801x1.43x5.457%5.46%7.824%7.82%5-1.000000x-1.000000x1.295439x1.295439x1.30x13.380%13.4%17.333%17.3%6-1.000000x-1.000000x1.220560x1.220560x1.22x12.593%12.6%15.370%15.4%7-1.000000x-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-1.000000x1.124002x1.124002x1.12x11.007%11.0%12.372%12.4%8-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.081100x1.081100x1.08x13.402%13.4%14.489%14.5%-2.519072x-2.519072x2.52x1.000000x1.000000x19.174%19.2%7.612%7.61%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.754%1.75%0.000%0%10
F percentage of females in category
M percentage of males in category
# rank of place out of 10 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 Morrow County, selected places in Morrow County, and entities that contain Morrow County
Female
Male
0x5x10xFM#Mount GileadCandlewood LkMorrowOhioEast North CentralMidwestColumbus AreaUnited StatesGalionMarengo-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.240%1.24%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.874%7.87%2-1.000000x-1.000000x4.061323x4.061323x4.06x0.249%0.25%1.010%1.01%-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.160532x1.160532x1.16x0.480%0.48%0.557%0.56%3-2.256881x-2.256881x2.26x1.000000x1.000000x3.670%3.67%1.626%1.63%4
F percentage of females in category
M percentage of males in category
# rank of place out of 4 by male-to-female sex ratio

Educational Attainment by County Subdivision in Morrow County

There are 17 county subdivisions in Morrow County. This section compares all 17 of those to each other, Morrow County, and other entities that contain or substantially overlap with Morrow 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 Morrow County, selected county subdivisions in Morrow County, and entities that contain Morrow County
0%10%20%30%Count#Perry TownshipPerryPeru TownshipHarmony TownshipHarmonyBennington TownshipBenningtonFranklin TownshipFranklinWestfield TownshipWestfieldMorrow CountyMorrowChester TownshipChesterUnited States of AmericaUnited StatesCardington TownshipCardingtonSouth Bloomfield TownshipS BloomfieldEast North CentralOhioMidwestCanaan TownshipCanaanWashington TownshipWashingtonColumbus Metro AreaColumbus AreaNorth Bloomfield TownshipN BloomfieldGilead TownshipGileadCongress TownshipCongressLincoln TownshipLincolnTroy Township34.140234%34.140234%34.1%409123.529412%23.529412%23.5%252223.236994%23.236994%23.2%402318.566775%18.566775%18.6%399416.930023%16.930023%16.9%150516.242424%16.242424%16.2%134613.936636%13.936636%13.9%3,30813.236225%13.236225%13.2%209713.020590%13.020590%13.0%27,818,38027.8M12.754342%12.754342%12.8%257812.125535%12.125535%12.1%170910.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.212766%10.212766%10.2%72109.955556%9.955556%10.0%112119.314501%9.314501%9.3%123,226123k9.247507%9.247507%9.2%102128.993725%8.993725%9.0%387138.800880%8.800880%8.8%160147.123535%7.123535%7.1%79151.949861%1.949861%1.9%1416
Count number of people in category
# rank of county subdivision out of 16 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 Morrow County, selected county subdivisions in Morrow County, and entities that contain Morrow County
0%10%20%30%Count#Columbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesMidwestEast North CentralOhioTroy TownshipCongress TownshipCongressHarmony TownshipHarmonySouth Bloomfield TownshipS BloomfieldWestfield TownshipWestfieldGilead TownshipGileadFranklin TownshipFranklinMorrow CountyMorrowLincoln TownshipLincolnNorth Bloomfield TownshipN BloomfieldCardington TownshipCardingtonBennington TownshipBenningtonPeru TownshipWashington TownshipWashingtonChester TownshipChesterCanaan TownshipCanaanPerry TownshipPerry34.785494%34.785494%34.8%460,194460k30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M20.334262%20.334262%20.3%146119.636964%19.636964%19.6%357219.017341%19.017341%19.0%329318.687589%18.687589%18.7%262418.666667%18.666667%18.7%154517.057867%17.057867%17.1%734615.124153%15.124153%15.1%134713.506909%13.506909%13.5%3,20612.443643%12.443643%12.4%138811.060743%11.060743%11.1%122910.868486%10.868486%10.9%2191010.842252%10.842252%10.8%233117.936508%7.936508%7.9%85127.644444%7.644444%7.6%86136.776441%6.776441%6.8%107146.099291%6.099291%6.1%43154.757930%4.757930%4.8%5716
Count number of people in category
# rank of county subdivision out of 16 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 Morrow County, selected county subdivisions in Morrow County, and entities that contain Morrow County
0%1%2%3%Count#Columbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesMidwestEast North CentralOhioCanaan TownshipCanaanFranklin TownshipFranklinCongress TownshipCongressHarmony TownshipHarmonyWestfield TownshipWestfieldTroy TownshipGilead TownshipGileadMorrow CountyMorrowCardington TownshipCardingtonBennington TownshipBenningtonChester TownshipChesterSouth Bloomfield TownshipS BloomfieldPerry TownshipPerryNorth Bloomfield TownshipN BloomfieldWashington TownshipWashingtonLincoln TownshipLincolnPeru Township3.620928%3.620928%3.6%47,90347.9k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.411348%2.411348%2.4%1712.257336%2.257336%2.3%2021.650165%1.650165%1.7%3031.329480%1.329480%1.3%2341.212121%1.212121%1.2%1050.835655%0.835655%0.8%660.650709%0.650709%0.7%2870.623525%0.623525%0.6%1480.397022%0.397022%0.4%880.279200%0.279200%0.3%690.000000%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 county subdivision 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 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 Morrow County, selected county subdivisions in Morrow County, and entities that contain Morrow County
Female
Male
2x0x2x4x6x8xFM#WashingtonPeru TownshipCardingtonLincolnHarmonyFranklinTroy TownshipMidwestEast North CentralUnited StatesOhioColumbus AreaMorrowPerryChesterGileadCanaanBenningtonCongressS BloomfieldWestfieldN Bloomfield-1.000000x-1.000000x8.337964x8.337964x8.34x1.976%1.98%16.478%16.5%1-1.000000x-1.000000x2.020394x2.020394x2.02x15.324%15.3%30.961%31.0%2-1.000000x-1.000000x1.740961x1.740961x1.74x9.396%9.40%16.358%16.4%3-1.000000x-1.000000x1.306082x1.306082x1.31x6.067%6.07%7.924%7.92%4-1.000000x-1.000000x1.296476x1.296476x1.30x20.144%20.1%26.116%26.1%5-1.000000x-1.000000x1.267133x1.267133x1.27x14.884%14.9%18.860%18.9%6-1.000000x-1.000000x1.189024x1.189024x1.19x1.795%1.79%2.134%2.13%7-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.081100x1.081100x1.08x13.402%13.4%14.489%14.5%-1.019213x-1.019213x1.02x1.000000x1.000000x34.450%34.4%33.800%33.8%8-1.024672x-1.024672x1.02x1.000000x1.000000x13.403%13.4%13.081%13.1%9-1.069636x-1.069636x1.07x1.000000x1.000000x9.262%9.26%8.659%8.66%10-1.185176x-1.185176x1.19x1.000000x1.000000x11.080%11.1%9.348%9.35%11-1.227367x-1.227367x1.23x1.000000x1.000000x20.313%20.3%16.550%16.5%12-1.430524x-1.430524x1.43x1.000000x1.000000x10.364%10.4%7.245%7.24%13-1.599613x-1.599613x1.60x1.000000x1.000000x14.820%14.8%9.265%9.26%14-1.655172x-1.655172x1.66x1.000000x1.000000x20.690%20.7%12.500%12.5%15-2.035407x-2.035407x2.04x1.000000x1.000000x12.158%12.2%5.973%5.97%16
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 16 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 Morrow County, selected county subdivisions in Morrow County, and entities that contain Morrow County
Female
Male
10x5x0x5x10xFM#GileadCardingtonCongressHarmonyWestfieldCanaanMorrowOhioEast North CentralMidwestColumbus AreaUnited StatesBenningtonFranklinTroy Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.461%1.46%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.823%0.82%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.293%3.29%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.567%2.57%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.232%2.23%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.816%4.82%6-1.000000x-1.000000x4.061323x4.061323x4.06x0.249%0.25%1.010%1.01%-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.730903x-1.730903x1.73x1.000000x1.000000x0.347%0.35%0.201%0.20%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.651%4.65%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.538%1.54%0.000%0%9
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 9 by male-to-female sex ratio

Educational Attainment by County in the Columbus Area

There are 10 counties in the Columbus Area. This section compares Morrow County to all of the counties in the Columbus Area and to those entities that contain or substantially overlap with Morrow 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 Morrow County, selected other counties in the Columbus Area, and entities that contain Morrow County
0%5%10%15%Count#Perry CountyPerryMorrow CountyMorrowMadison CountyMadisonUnited States of AmericaUnited StatesPickaway CountyPickawayHocking CountyHockingEast North CentralOhioMidwestFranklin CountyFranklinLicking CountyLickingColumbus Metro AreaColumbus AreaFairfield CountyFairfieldUnion CountyUnionDelaware CountyDelaware16.089529%16.089529%16.1%3,889113.936636%13.936636%13.9%3,308213.297751%13.297751%13.3%4,086313.020590%13.020590%13.0%27,818,38027.8M12.917789%12.917789%12.9%5,036411.599879%11.599879%11.6%2,310510.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M9.640656%9.640656%9.6%78,29978.3k69.609394%9.609394%9.6%10,95011.0k79.314501%9.314501%9.3%123,226123k8.257364%8.257364%8.3%8,30688.064021%8.064021%8.1%2,89293.378461%3.378461%3.4%4,15010
Count number of people in category
# rank of county out of 10 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 Morrow County, selected other counties in the Columbus Area, and entities that contain Morrow County
0%10%20%30%40%50%Count#Delaware CountyDelawareFranklin CountyFranklinColumbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesUnion CountyUnionMidwestEast North CentralOhioFairfield CountyFairfieldLicking CountyLickingPickaway CountyPickawayMadison CountyMadisonHocking CountyHockingMorrow CountyMorrowPerry CountyPerry52.455693%52.455693%52.5%64,43564.4k138.352941%38.352941%38.4%311,493311k234.785494%34.785494%34.8%460,194460k30.315023%30.315023%30.3%64,767,78764.8M29.091264%29.091264%29.1%10,43310.4k328.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M26.410442%26.410442%26.4%26,56626.6k423.329326%23.329326%23.3%26,58426.6k517.306656%17.306656%17.3%6,747616.350441%16.350441%16.4%5,024714.135784%14.135784%14.1%2,815813.506909%13.506909%13.5%3,206911.960614%11.960614%12.0%2,89110
Count number of people in category
# rank of county out of 10 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 Morrow County, selected other counties in the Columbus Area, and entities that contain Morrow County
0%1%2%3%4%5%Count#Delaware CountyDelawareFranklin CountyFranklinColumbus Metro AreaColumbus AreaUnited States of AmericaUnited StatesMidwestEast North CentralOhioUnion CountyUnionLicking CountyLickingFairfield CountyFairfieldPickaway CountyPickawayMadison CountyMadisonHocking CountyHockingPerry CountyPerryMorrow CountyMorrow5.031057%5.031057%5.0%6,18014.335519%4.335519%4.3%35,21235.2k23.620928%3.620928%3.6%47,90347.9k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.506762%2.506762%2.5%89932.283438%2.283438%2.3%2,60241.755659%1.755659%1.8%1,76651.095293%1.095293%1.1%42761.047938%1.047938%1.0%32270.934016%0.934016%0.9%18680.666087%0.666087%0.7%16190.623525%0.623525%0.6%14810
Count number of people in category
# rank of county out of 10 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 Morrow County, selected other counties in the Columbus Area, and entities that contain Morrow County
Female
Male
1x0x1xFM#MadisonPickawayPerryHockingDelawareMidwestEast North CentralUnited StatesOhioColumbus AreaMorrowFranklinFairfieldLickingUnion-1.000000x-1.000000x1.747429x1.747429x1.75x9.410%9.41%16.443%16.4%1-1.000000x-1.000000x1.597241x1.597241x1.60x9.831%9.83%15.703%15.7%2-1.000000x-1.000000x1.397781x1.397781x1.40x13.445%13.4%18.793%18.8%3-1.000000x-1.000000x1.246304x1.246304x1.25x10.344%10.3%12.892%12.9%4-1.000000x-1.000000x1.204437x1.204437x1.20x3.074%3.07%3.703%3.70%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.081100x1.081100x1.08x13.402%13.4%14.489%14.5%6-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%7-1.000000x-1.000000x1.047665x1.047665x1.05x8.071%8.07%8.455%8.46%8-1.000000x-1.000000x1.041562x1.041562x1.04x9.421%9.42%9.813%9.81%9-1.420116x-1.420116x1.42x1.000000x1.000000x9.358%9.36%6.590%6.59%10
F percentage of females in category
M percentage of males in category
# rank of county out of 10 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 Morrow County, selected other counties in the Columbus Area, and entities that contain Morrow County
Female
Male
0x2x4x6xFM#PerryMorrowHockingMadisonOhioDelawareFairfieldEast North CentralMidwestFranklinColumbus AreaUnited StatesUnionLickingPickaway-1.000000x-1.000000x6.135051x6.135051x6.14x0.188%0.19%1.155%1.15%1-1.000000x-1.000000x4.061323x4.061323x4.06x0.249%0.25%1.010%1.01%2-1.000000x-1.000000x2.878554x2.878554x2.88x0.485%0.49%1.396%1.40%3-1.000000x-1.000000x2.406907x2.406907x2.41x0.589%0.59%1.419%1.42%4-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.634773x1.634773x1.63x3.849%3.85%6.292%6.29%5-1.000000x-1.000000x1.623998x1.623998x1.62x1.348%1.35%2.189%2.19%6-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%7-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.506598x1.506598x1.51x2.027%2.03%3.053%3.05%8-1.000000x-1.000000x1.469621x1.469621x1.47x1.863%1.86%2.738%2.74%9-1.000000x-1.000000x1.250193x1.250193x1.25x0.968%0.97%1.210%1.21%10
F percentage of females in category
M percentage of males in category
# rank of county out of 10 by male-to-female sex ratio

Educational Attainment by County in Ohio

There are 88 counties in Ohio. This section compares Morrow County to the 50 most populous counties in Ohio and to those entities that contain or substantially overlap with Morrow 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 Morrow County, selected other counties in Ohio, and entities that contain Morrow County
0%5%10%15%Count#Scioto CountySciotoWayne CountyWayneAshtabula CountyAshtabulaLawrence CountyLawrenceRoss CountyRossTuscarawas CountyTuscarawasMorrow CountyMorrowMuskingum 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 CountyErieColumbus Metro AreaColumbus AreaShelby 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%9,011613.936636%13.936636%13.9%3,30813.498115%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%5,057369.314501%9.314501%9.3%123,226123k9.300022%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 Morrow County, selected other counties in Ohio, and entities that contain Morrow County
0%10%20%30%40%50%Count#Delaware CountyDelawareWarren CountyWarrenFranklin CountyFranklinGreene CountyGreeneGeauga CountyGeaugaHamilton CountyHamiltonColumbus Metro AreaColumbus AreaWood 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 CountyColumbianaMorrow CountyMorrowHuron 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%192,127192k634.785494%34.785494%34.8%460,194460k31.682783%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%10,47610.5k4613.506909%13.506909%13.5%3,20613.479480%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 Morrow County, selected other counties in Ohio, and entities that contain Morrow County
0%1%2%3%4%5%Count#Athens CountyAthensDelaware CountyDelawareGreene CountyGreeneFranklin CountyFranklinHamilton CountyHamiltonCuyahoga CountyCuyahogaWarren CountyWarrenColumbus Metro AreaColumbus AreaWood 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 CountyBelmontMuskingum CountyMuskingumAshtabula CountyAshtabulaColumbiana CountyColumbianaSandusky CountySanduskySeneca CountySenecaMarion CountyMarionHuron CountyHuronTuscarawas CountyTuscarawasMorrow CountyMorrowDarke 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%5,36173.620928%3.620928%3.6%47,90347.9k3.600402%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%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%494490.623525%0.623525%0.6%1480.546510%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 Morrow County, selected other counties in Ohio, and entities that contain Morrow County
Female
Male
1x0x1xFM#PickawayWarrenRichlandShelbyAthensHancockMarionClermontLorainTuscarawasDelawareHuronKnoxAshlandMuskingumLucasMahoningTrumbullWayneGeaugaClarkLawrenceDarkeLakeMidwestEast North CentralBelmontAshtabulaWashingtonUnited StatesOhioColumbus AreaMedinaRossMorrowSanduskyErieCuyahogaAllenFranklinFairfieldButlerLickingMontgomeryPortageSciotoStarkSenecaHamiltonJeffersonColumbianaGreeneSummitWoodMiamiUnion-1.000000x-1.000000x1.597241x1.597241x1.60x9.831%9.83%15.703%15.7%1-1.000000x-1.000000x1.457031x1.457031x1.46x5.811%5.81%8.466%8.47%2-1.000000x-1.000000x1.428027x1.428027x1.43x10.554%10.6%15.071%15.1%3-1.000000x-1.000000x1.355020x1.355020x1.36x7.910%7.91%10.718%10.7%4-1.000000x-1.000000x1.239662x1.239662x1.24x9.239%9.24%11.453%11.5%5-1.000000x-1.000000x1.228711x1.228711x1.23x6.756%6.76%8.301%8.30%6-1.000000x-1.000000x1.222802x1.222802x1.22x11.988%12.0%14.658%14.7%7-1.000000x-1.000000x1.219059x1.219059x1.22x9.410%9.41%11.471%11.5%8-1.000000x-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%9-1.000000x-1.000000x1.212065x1.212065x1.21x12.766%12.8%15.474%15.5%10-1.000000x-1.000000x1.204437x1.204437x1.20x3.074%3.07%3.703%3.70%11-1.000000x-1.000000x1.201209x1.201209x1.20x11.198%11.2%13.451%13.5%12-1.000000x-1.000000x1.196265x1.196265x1.20x9.533%9.53%11.404%11.4%13-1.000000x-1.000000x1.194357x1.194357x1.19x11.488%11.5%13.721%13.7%14-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%15-1.000000x-1.000000x1.169306x1.169306x1.17x10.373%10.4%12.129%12.1%16-1.000000x-1.000000x1.158437x1.158437x1.16x9.203%9.20%10.662%10.7%17-1.000000x-1.000000x1.157733x1.157733x1.16x10.358%10.4%11.992%12.0%18-1.000000x-1.000000x1.151379x1.151379x1.15x13.576%13.6%15.631%15.6%19-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%20-1.000000x-1.000000x1.150715x1.150715x1.15x11.939%11.9%13.739%13.7%21-1.000000x-1.000000x1.140157x1.140157x1.14x13.451%13.5%15.336%15.3%22-1.000000x-1.000000x1.139879x1.139879x1.14x10.372%10.4%11.823%11.8%23-1.000000x-1.000000x1.134887x1.134887x1.13x7.564%7.56%8.584%8.58%24-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.122752x1.122752x1.12x9.558%9.56%10.731%10.7%25-1.000000x-1.000000x1.121822x1.121822x1.12x13.739%13.7%15.412%15.4%26-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%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-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-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-1.000000x1.081100x1.081100x1.08x13.402%13.4%14.489%14.5%-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 Morrow County, selected other counties in Ohio, and entities that contain Morrow County
Female
Male
1x0x1x2x3x4xFM#MorrowMiamiColumbianaClarkJeffersonLawrenceAshtabulaMahoningWashingtonMontgomeryErieLorainBelmontAthensGreeneHancockGeaugaSciotoRichlandPortageDarkeButlerClermontTrumbullAllenCuyahogaOhioStarkWayneWoodAshlandSenecaTuscarawasDelawareFairfieldSummitHamiltonEast North CentralMuskingumMidwestFranklinColumbus AreaHuronUnited StatesShelbyUnionRossKnoxWarrenLickingLakeLucasMedinaPickawaySanduskyMarion-1.000000x-1.000000x4.061323x4.061323x4.06x0.249%0.25%1.010%1.01%-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-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%37-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-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 Morrow County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Morrow 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 Morrow County, selected other counties in the United States, and entities that contain Morrow 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 CountyCookMorrow CountyMorrowSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralOhioMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinColumbus Metro AreaColumbus AreaNassau 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%503,252503k1713.936636%13.936636%13.9%3,30813.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.314501%9.314501%9.3%123,226123k9.121758%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 Morrow County, selected other counties in the United States, and entities that contain Morrow 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 CountyCookColumbus Metro AreaColumbus AreaSuffolk 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 CountyBronxMorrow CountyMorrow60.434640%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%1,293,5181.29M2334.785494%34.785494%34.8%460,194460k34.384794%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%173,169173k5013.506909%13.506909%13.5%3,206
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 Morrow County, selected other counties in the United States, and entities that contain Morrow 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 CountyPhiladelphiaColumbus Metro AreaColumbus AreaLos 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 CountyBronxMorrow CountyMorrow12.399695%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%38,51538.5k303.620928%3.620928%3.6%47,90347.9k3.604427%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%15,06415.1k500.623525%0.623525%0.6%148
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 Morrow County, selected other counties in the United States, and entities that contain Morrow County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOhioColumbus AreaOrangeHarrisFultonPhiladelphiaSan BernardinoMorrowTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%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-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-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-1.000000x1.081100x1.081100x1.08x13.402%13.4%14.489%14.5%-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#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 Morrow County, selected other counties in the United States, and entities that contain Morrow County
Female
Male
1x0x1x2x3x4xFM#MorrowPalm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeOhioBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauBrowardClarkFranklinColumbus AreaMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x4.061323x4.061323x4.06x0.249%0.25%1.010%1.01%-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-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:
Galion
Townships:
Bennington, Canaan, Cardington, Chester, Congress, Franklin, Gilead, Harmony, Lincoln, North Bloomfield, Perry, Peru, South Bloomfield, Troy, Washington, Westfield
Unincorporated Places:
Candlewood Lake, Iberia
Villages:
Cardington, Chesterville, Edison, Fulton, Marengo, Mount Gilead, Sparta
ZIP Codes:
43003, 43011, 43019, 43050, 43314, 43315, 43317, 43320, 43321, 43334, 43338, 43356, 44813, 44833, 44903, 44904
Unified School Districts:
Buckeye Valley, Cardington-Lincoln, Fredericktown, Galion, Highland, Lexington, Mount Gilead, Northmor, River Valley
Congressional District:
OH-12
State Senate District:
OH-26
State House District:
OH-87
Neighboring Counties:
Crawford, Delaware, Knox, Marion, Richland
Nearby Counties:
Ashland, Coshocton, Franklin, Hardin, Holmes, Huron, Licking, Seneca, Union, Wyandot