Educational Attainment in Wood County, Ohio (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ohio and Wood County
Wood County
Ohio
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma241.942735%35.063314%41.942735%41.9%33,39933.4k52.137385%54.422540%52.137385%52.1%41,51741.5k5.919879%10.514146%5.919879%5.9%4,714
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 Wood County
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma219.619998%19.619998%+19.6%41.943%41.9%35.063%35.1%-4.198913%-4.198913%-4.2%52.137%52.1%54.423%54.4%-43.696050%-43.696050%-43.7%5.920%5.92%10.514%10.5%
% percentage with given level in Wood 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 Wood County
Wood County
Ohio
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.882456%1.076166%1.882456%1.9%1,4991.717945%1.607075%1.717945%1.7%1,3689.853070%7.279494%9.853070%9.9%7,84618.229311%16.704731%18.229311%18.2%14,51614.5k10.259952%8.395848%10.259952%10.3%8,17020.727113%20.603422%20.727113%20.7%16,50516.5k31.410273%33.819119%31.410273%31.4%25,01225.0k4.687932%7.545636%4.687932%4.7%3,7330.782368%2.095069%0.782368%0.8%6230.449579%0.873440%0.449579%0.4%358
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 Wood County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None74.922495%74.922495%+74.9%1.882%1.88%1.076%1.08%6.898888%6.898888%+6.9%1.718%1.72%1.607%1.61%35.353791%35.353791%+35.4%9.853%9.85%7.279%7.28%9.126631%9.126631%+9.1%18.229%18.2%16.705%16.7%22.202695%22.202695%+22.2%10.260%10.3%8.396%8.40%0.600344%0.600344%+0.6%20.727%20.7%20.603%20.6%-7.122735%-7.122735%-7.1%31.410%31.4%33.819%33.8%-37.872281%-37.872281%-37.9%4.688%4.69%7.546%7.55%-62.656678%-62.656678%-62.7%0.782%0.78%2.095%2.10%-48.527761%-48.527761%-48.5%0.450%0.45%0.873%0.87%
% percentage with given level in Wood 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 Wood County
More Females More Males
Ohio
Wood County
10%5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.123157%-7.885240%-11.123157%11%44.087%44.1%39.674%39.7%9.881196%2.984493%9.881196%10%49.748%49.7%54.664%54.7%-8.878992%-8.878992%9%10.536340%6.164%6.16%5.661%5.66%
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 Wood County
More Females More Males
Ohio
Wood County
50%0%50%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None41.181104%65.373714%41.181104%41%1.569%1.57%2.214%2.21%98.193169%68.015763%98.193169%98%1.163%1.16%2.305%2.30%-28.226834%-21.244079%-28.226834%28%11.033%11.0%8.605%8.60%-1.185932%-1.185932%1%0.726598%18.334%18.3%18.119%18.1%-42.189722%-39.383112%-42.189722%42%11.989%12.0%8.432%8.43%-0.103999%13.369829%13.369829%13%19.462%19.5%22.065%22.1%7.639307%4.911287%7.639307%8%30.286%30.3%32.599%32.6%-3.296643%-3.296643%3%10.693269%4.762%4.76%4.610%4.61%-22.812506%-22.812506%23%11.385964%0.860%0.86%0.700%0.70%-54.341702%-54.341702%54%7.203042%0.542%0.54%0.351%0.35%
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 Wood County
Wood County
Ohio
0%5%10%15%20%B.X.Total65+45-6435-4425-3412.130966%11.168673%12.130966%12.1%2,18618,02018.0k16.734835%15.925332%16.734835%16.7%5,31931,78431.8k21.918472%19.733657%21.918472%21.9%3,16714,44914.4k24.998374%22.259142%24.998374%25.0%3,84415,37715.4k
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 Wood County
0%2%4%6%8%10%12%%ref.65+45-6435-4425-348.616001%8.616001%8.6%12.131%12.1%11.169%11.2%5.083119%5.083119%5.1%16.735%16.7%15.925%15.9%11.071515%11.071515%11.1%21.918%21.9%19.734%19.7%12.306099%12.306099%12.3%24.998%25.0%22.259%22.3%
% percentage in Wood 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 Wood County
More Females More Males
Ohio
Wood County
20%10%0%10%20%30%FM65+45-6435-4425-3429.025776%36.828803%29.025776%29.0%10.768%10.8%13.893%13.9%-0.054549%1.710327%1.710327%1.7%16.596%16.6%16.880%16.9%-28.954366%-14.012939%-28.954366%29.0%24.692%24.7%19.148%19.1%-11.160266%-14.499975%-11.160266%11.2%26.382%26.4%23.733%23.7%
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 Wood County
Wood County
Ohio
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$61,152.000000$63,821.000000$61,152.000000$61.2k10,71310.7k13.453%13.5%$51,395.000000$50,107.000000$51,395.000000$51.4k14,51614.5k18.229%18.2%$35,007.000000$32,706.000000$35,007.000000$35.0k24,67524.7k30.987%31.0%$29,852.000000$28,919.000000$29,852.000000$29.9k25,01225.0k31.410%31.4%$20,561.000000$20,344.000000$20,561.000000$20.6k4,7145.920%5.92%$38,821.000000$35,841.000000$38,821.000000$38.8k79,63079.6k100.000%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 Wood County
Female Male
Ohio
Wood County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-53,976.000000$-55,571.000000$-53,976.000000$54.0k$53,976.000000$19,548.000000$55,571.000000$22,109.000000$73,524.000000$73.5k5,6345,079$-40,580.000000$-40,856.000000$-40,580.000000$40.6k$40,580.000000$25,898.000000$40,856.000000$20,405.000000$66,478.000000$66.5k7,5047,012$-28,667.000000$-27,361.000000$-28,667.000000$28.7k$28,667.000000$15,598.000000$27,361.000000$13,780.000000$44,265.000000$44.3k12,87312.9k11,80211.8k$-23,100.000000$-22,081.000000$-23,100.000000$23.1k$23,100.000000$12,235.000000$22,081.000000$13,410.000000$35,335.000000$35.3k12,39612.4k12,61612.6k$-17,218.000000$-15,062.000000$-17,218.000000$17.2k$17,218.000000$6,203.000000$15,062.000000$9,409.000000$23,421.000000$23.4k2,5232,191$-31,501.000000$-29,749.000000$-31,501.000000$31.5k$31,501.000000$15,379.000000$29,749.000000$12,566.000000$46,880.000000$46.9k40,93040.9k38,70038.7k
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 Wood County
Wood County
Ohio
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma348.717949%51.152074%48.717949%48.7%7641.666667%41.442873%41.666667%41.7%659.615385%7.039568%9.615385%9.6%150.000000%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 Wood County
Wood County
Ohio
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.687267%84.712194%85.687267%85.7%18,12218.1k78.079614%75.098475%78.079614%78.1%16,18216.2k72.010444%67.335954%72.010444%72.0%12,41112.4k45.821671%44.096181%45.821671%45.8%1,146
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 Wood County
Female Male
Ohio
Wood County
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackAsianHispanic2Other1-5.080237%-0.679606%-8.849949%-5.759843%5.8%5.080237%8.849949%0.838407%5.080237%5.1%1,7952,171-4.531250%-5.885417%-14.710486%-10.416667%10.4%4.531250%14.710486%2.396424%4.531250%4.5%2965-0.000000%-7.084469%-10.995328%-3.238870%-7.084469%7.1%0.000000%10.995328%0.000000%0.0%052-13.743219%-23.269744%-13.743219%13.7%13.743219%5.153002%23.269744%5.740390%18.896221%18.9%315228-9.161491%-16.869350%-9.161491%9.2%9.161491%6.788736%16.869350%3.904344%15.950226%16.0%14159
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 Wood County
Female Male
Ohio
Wood County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-30.665384%-1.421001%-27.409880%-32.086384%32.1%30.665384%27.409880%0.383981%30.665384%30.7%10,83510.8k12,09412.1k-39.583333%-14.337282%-3.326272%-39.583333%39.6%39.583333%5.572917%14.337282%45.156250%45.2%289247-50.953678%-55.571247%-50.953678%51.0%50.953678%26.705896%55.571247%11.025101%77.659574%77.7%511374-19.891501%-15.825016%-4.164425%-19.891501%19.9%19.891501%0.204480%15.825016%20.095981%20.1%335330-20.475113%-6.232961%-18.226192%-3.481943%-26.708075%26.7%20.475113%18.226192%20.475113%20.5%181172
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 Wood 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
17%27%36%45%54%63%

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
34%42%50%58%66%75%

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
2.4%4.9%7.2%9.6%12.0%14.4%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.8%2.7%3.6%4.5%

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%0.9%1.8%2.7%3.6%4.6%

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
1.6%4.7%7.7%10.7%13.7%16.8%

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
6.5%11.4%16.3%21.1%25.9%30.8%

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

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

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
12.9%16.0%19.0%22.0%25.1%28.2%

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
15%23%30%37%45%52%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.8%5.5%8.3%11.1%13.9%

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%0.7%1.4%2.1%2.9%3.6%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.32%0.63%0.95%1.27%1.59%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Wood 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
17%29%41%52%64%76%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
24%35%44%54%64%75%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.2%2.4%4.4%6.5%8.5%10.6%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.4%2.9%4.3%5.8%7.3%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.3%2.7%4.0%5.4%6.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%5.7%9.8%13.8%17.9%22.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3%10%16%23%29%36%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%6.7%8.9%11.2%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
11%18%24%30%37%43%

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
10%19%27%35%44%52%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.8%3.7%5.5%7.4%9.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.41%0.82%1.22%1.63%2.04%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%1.9%2.9%3.8%4.8%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Wood County

There are 28 places that are fully or partially contained within Wood County (27 fully and 1 partially). This section compares all 28 of those to each other, Wood County, and other entities that contain or substantially overlap with Wood 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 Wood County, selected places in Wood County, and entities that contain Wood County
0%5%10%15%20%Count#HoytvilleWest MillgroveW MillgroveBairdstownJerry CityMilton CenterWestonUnited States of AmericaUnited StatesFostoriaRudolphEast North CentralOhioBloomdaleMidwestCygnetToledo Metro AreaToledo AreaNorthwoodNorth BaltimoreN BaltimoreRisingsunGrand RapidsLuckeyWalbridgeBradnerStony RidgeCustarBowling GreenWood CountyWoodWayneRossfordHaskinsPortageTontoganyMillburyPembervillePerrysburg20.560748%20.560748%20.6%44120.000000%20.000000%20.0%14217.204301%17.204301%17.2%16317.168675%17.168675%17.2%57415.441176%15.441176%15.4%21514.001807%14.001807%14.0%155613.020590%13.020590%13.0%27,818,38027.8M12.898799%12.898799%12.9%1,128711.271676%11.271676%11.3%39810.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.412148%10.412148%10.4%48910.244520%10.244520%10.2%4,641,8354.64M10.161663%10.161663%10.2%441010.029971%10.029971%10.0%39,95840.0k9.754852%9.754852%9.8%382119.737470%9.737470%9.7%204129.558824%9.558824%9.6%39138.269525%8.269525%8.3%54147.867133%7.867133%7.9%45157.705628%7.705628%7.7%178166.201550%6.201550%6.2%40176.172840%6.172840%6.2%15186.172840%6.172840%6.2%5196.072332%6.072332%6.1%816205.919879%5.919879%5.9%4,7145.873016%5.873016%5.9%37215.206881%5.206881%5.2%224224.952830%4.952830%5.0%42234.761905%4.761905%4.8%14244.402516%4.402516%4.4%14254.157044%4.157044%4.2%36263.820439%3.820439%3.8%40272.887047%2.887047%2.9%41128
Count number of people in category
# rank of place out of 28 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 Wood County, selected places in Wood County, and entities that contain Wood County
0%10%20%30%40%50%Count#PerrysburgBowling GreenPembervilleWood CountyWoodUnited States of AmericaUnited StatesPortageMidwestEast North CentralHaskinsOhioGrand RapidsToledo Metro AreaToledo AreaRossfordLuckeyTontoganyStony RidgeBloomdaleNorthwoodMillburyWalbridgeWest MillgroveW MillgroveCygnetJerry CityMilton CenterWestonNorth BaltimoreN BaltimoreFostoriaBradnerWayneRisingsunBairdstownHoytvilleRudolphCustar51.046642%51.046642%51.0%7,267142.357494%42.357494%42.4%5,692233.428844%33.428844%33.4%350331.682783%31.682783%31.7%25,22925.2k30.315023%30.315023%30.3%64,767,78764.8M29.931973%29.931973%29.9%88428.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.004717%27.004717%27.0%229526.667466%26.667466%26.7%2,092,8752.09M25.880551%25.880551%25.9%169625.829974%25.829974%25.8%102,903103k25.801953%25.801953%25.8%1,110723.251748%23.251748%23.3%133816.666667%16.666667%16.7%53916.460905%16.460905%16.5%401015.835141%15.835141%15.8%731115.500511%15.500511%15.5%6071214.780600%14.780600%14.8%1281313.549784%13.549784%13.5%3131412.857143%12.857143%12.9%91512.702079%12.702079%12.7%551611.445783%11.445783%11.4%381711.029412%11.029412%11.0%151810.840108%10.840108%10.8%1201910.548926%10.548926%10.5%221209.251001%9.251001%9.3%809217.131783%7.131783%7.1%46226.825397%6.825397%6.8%43236.372549%6.372549%6.4%26245.376344%5.376344%5.4%5255.140187%5.140187%5.1%11261.734104%1.734104%1.7%6271.234568%1.234568%1.2%128
Count number of people in category
# rank of place out of 28 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 Wood County, selected places in Wood County, and entities that contain Wood County
0%1%2%3%4%5%6%Count#PerrysburgBowling GreenRossfordWood CountyWoodPembervilleGrand RapidsUnited States of AmericaUnited StatesToledo Metro AreaToledo AreaMidwestEast North CentralOhioPortageHaskinsBradnerMilton CenterJerry CityMillburyWestonNorthwoodBloomdaleWalbridgeLuckeyFostoriaNorth BaltimoreN BaltimoreWayneCygnetRisingsunRudolphTontoganyStony RidgeHoytvilleBairdstownWest MillgroveW MillgroveCustar6.019949%6.019949%6.0%85715.789552%5.789552%5.8%77823.788935%3.788935%3.8%16333.600402%3.600402%3.6%2,8673.533906%3.533906%3.5%3743.369066%3.369066%3.4%2253.336158%3.336158%3.3%7,127,6737.13M2.958688%2.958688%3.0%11,78711.8k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.380952%2.380952%2.4%761.297170%1.297170%1.3%1170.930233%0.930233%0.9%680.735294%0.735294%0.7%190.602410%0.602410%0.6%2100.577367%0.577367%0.6%5110.451671%0.451671%0.5%5120.434116%0.434116%0.4%17130.433839%0.433839%0.4%2140.389610%0.389610%0.4%9150.349650%0.349650%0.3%2160.263007%0.263007%0.3%23170.000000%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%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%028
Count number of people in category
# rank of place out of 28 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 Wood County, selected places in Wood County, and entities that contain Wood County
Female
Male
0x5x10xFM#Stony RidgeCustarHoytvilleJerry CityBairdstownRossfordCygnetLuckeyRisingsunGrand RapidsMidwestToledo AreaEast North CentralUnited StatesOhioPembervilleWoodFostoriaN BaltimoreWalbridgeWestonW MillgroveBowling GreenWayneMillburyNorthwoodBloomdaleHaskinsTontoganyMilton CenterPortagePerrysburgBradnerRudolph-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%14.423%14.4%1-1.000000x-1.000000x3.363636x3.363636x3.36x2.703%2.70%9.091%9.09%2-1.000000x-1.000000x2.714286x2.714286x2.71x10.526%10.5%28.571%28.6%3-1.000000x-1.000000x2.451977x2.451977x2.45x9.677%9.68%23.729%23.7%4-1.000000x-1.000000x2.062500x2.062500x2.06x11.111%11.1%22.917%22.9%5-1.000000x-1.000000x2.007090x2.007090x2.01x3.469%3.47%6.963%6.96%6-1.000000x-1.000000x1.910628x1.910628x1.91x7.080%7.08%13.527%13.5%7-1.000000x-1.000000x1.766411x1.766411x1.77x5.743%5.74%10.145%10.1%8-1.000000x-1.000000x1.312500x1.312500x1.31x8.333%8.33%10.938%10.9%9-1.000000x-1.000000x1.155556x1.155556x1.16x7.692%7.69%8.889%8.89%10-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-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-1.000000x1.073267x1.073267x1.07x3.690%3.69%3.960%3.96%11-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.262708x-1.262708x1.26x1.000000x1.000000x14.224%14.2%11.264%11.3%12-1.266364x-1.266364x1.27x1.000000x1.000000x10.818%10.8%8.543%8.54%13-1.321833x-1.321833x1.32x1.000000x1.000000x8.597%8.60%6.504%6.50%14-1.333061x-1.333061x1.33x1.000000x1.000000x15.957%16.0%11.971%12.0%15-1.388889x-1.388889x1.39x1.000000x1.000000x22.222%22.2%16.000%16.0%16-1.410208x-1.410208x1.41x1.000000x1.000000x7.022%7.02%4.979%4.98%17-1.438994x-1.438994x1.44x1.000000x1.000000x6.918%6.92%4.808%4.81%18-1.535551x-1.535551x1.54x1.000000x1.000000x5.023%5.02%3.271%3.27%19-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%20-1.560550x-1.560550x1.56x1.000000x1.000000x12.844%12.8%8.230%8.23%21-1.700917x-1.700917x1.70x1.000000x1.000000x6.193%6.19%3.641%3.64%22-1.845860x-1.845860x1.85x1.000000x1.000000x5.732%5.73%3.106%3.11%23-1.847953x-1.847953x1.85x1.000000x1.000000x21.053%21.1%11.392%11.4%24-1.900699x-1.900699x1.90x1.000000x1.000000x6.294%6.29%3.311%3.31%25-2.183101x-2.183101x2.18x1.000000x1.000000x3.926%3.93%1.798%1.80%26-2.592486x-2.592486x2.59x1.000000x1.000000x8.671%8.67%3.344%3.34%27-3.064273x-3.064273x3.06x1.000000x1.000000x17.834%17.8%5.820%5.82%28
F percentage of females in category
M percentage of males in category
# rank of place out of 28 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 Wood County, selected places in Wood County, and entities that contain Wood County
Female
Male
10x5x0x5x10xFM#HaskinsBradnerBloomdalePortageFostoriaPerrysburgRossfordOhioWoodEast North CentralBowling GreenMidwestGrand RapidsUnited StatesToledo AreaPembervilleNorthwoodWalbridgeWestonMillburyLuckeyJerry CityMilton Center-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.670%2.67%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.007%2.01%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.823%0.82%3-1.000000x-1.000000x5.682119x5.682119x5.68x0.699%0.70%3.974%3.97%4-1.000000x-1.000000x2.819923x2.819923x2.82x0.145%0.14%0.409%0.41%5-1.000000x-1.000000x2.725812x2.725812x2.73x3.267%3.27%8.905%8.91%6-1.000000x-1.000000x1.983823x1.983823x1.98x2.544%2.54%5.047%5.05%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596499x1.596499x1.60x4.533%4.53%7.237%7.24%8-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.549912x1.549912x1.55x2.663%2.66%4.127%4.13%9-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.408663x1.408663x1.41x2.952%2.95%4.158%4.16%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.679%0.68%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.887%0.89%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.142%1.14%0.000%0%14-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.676%0.68%0.000%0%15-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.290%1.29%0.000%0%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.754%1.75%0.000%0%17
F percentage of females in category
M percentage of males in category
# rank of place out of 17 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wood County

There are 24 county subdivisions in Wood County. This section compares all 24 of those to each other, Wood County, and other entities that contain or substantially overlap with Wood 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 Wood County, selected county subdivisions in Wood County, and entities that contain Wood County
0%5%10%Count#Jackson TownshipJacksonUnited States of AmericaUnited StatesFostoriaPortage TownshipPortageEast North CentralWeston TownshipWestonOhioMilton TownshipMiltonMidwestToledo Metro AreaToledo AreaNorthwoodLiberty TownshipLibertyBloom TownshipBloomPlain TownshipPlainHenry TownshipHenryMontgomery TownshipMontgomeryPerry TownshipPerryLake TownshipGrand Rapids TownshipGrand RapidsBowling GreenWood CountyWoodCenter TownshipCtrRossfordPerrysburg TownshipPerrysburgTroy TownshipWashington TownshipWashingtonWebster TownshipWebsterFreedom TownshipFreedomPerrysburgMiddleton TownshipMiddleton14.387211%14.387211%14.4%81113.020590%13.020590%13.0%27,818,38027.8M11.894273%11.894273%11.9%81211.191336%11.191336%11.2%124310.719464%10.719464%10.7%3,363,7843.36M10.709759%10.709759%10.7%169410.514146%10.514146%10.5%825,155825k10.330579%10.330579%10.3%75510.244520%10.244520%10.2%4,641,8354.64M10.029971%10.029971%10.0%39,95840.0k9.754852%9.754852%9.8%38269.411765%9.411765%9.4%12078.894090%8.894090%8.9%15288.481675%8.481675%8.5%8198.255857%8.255857%8.3%222107.945205%7.945205%7.9%232117.844905%7.844905%7.8%87127.199900%7.199900%7.2%577137.142857%7.142857%7.1%77146.072332%6.072332%6.1%816155.919879%5.919879%5.9%4,7145.657895%5.657895%5.7%43165.206881%5.206881%5.2%224174.974330%4.974330%5.0%436183.875094%3.875094%3.9%103193.771044%3.771044%3.8%56203.562654%3.562654%3.6%29213.300157%3.300157%3.3%63222.887047%2.887047%2.9%411232.481305%2.481305%2.5%7324
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Wood County, selected county subdivisions in Wood County, and entities that contain Wood County
0%10%20%30%40%50%Count#PerrysburgCenter TownshipCtrPlain TownshipPlainBowling GreenMiddleton TownshipMiddletonPerrysburg TownshipPerrysburgPortage TownshipPortageWood CountyWoodFreedom TownshipFreedomUnited States of AmericaUnited StatesWashington TownshipWashingtonMidwestEast North CentralOhioToledo Metro AreaToledo AreaRossfordGrand Rapids TownshipGrand RapidsTroy TownshipWebster TownshipWebsterLake TownshipLiberty TownshipLibertyMilton TownshipMiltonPerry TownshipPerryBloom TownshipBloomJackson TownshipJacksonNorthwoodWeston TownshipWestonFostoriaHenry TownshipHenryMontgomery TownshipMontgomery51.046642%51.046642%51.0%7,267144.868421%44.868421%44.9%341242.513089%42.513089%42.5%406342.357494%42.357494%42.4%5,692441.298436%41.298436%41.3%1,215534.649173%34.649173%34.6%3,037631.949458%31.949458%31.9%354731.682783%31.682783%31.7%25,22925.2k30.958617%30.958617%31.0%591830.315023%30.315023%30.3%64,767,78764.8M29.764310%29.764310%29.8%442928.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.667466%26.667466%26.7%2,092,8752.09M25.829974%25.829974%25.8%102,903103k25.801953%25.801953%25.8%1,1101023.933210%23.933210%23.9%2581120.993228%20.993228%21.0%5581220.761671%20.761671%20.8%1691318.118293%18.118293%18.1%1,4521416.313725%16.313725%16.3%2081516.115702%16.115702%16.1%1171616.050496%16.050496%16.1%1781715.974254%15.974254%16.0%2731815.630551%15.630551%15.6%881915.500511%15.500511%15.5%6072013.434728%13.434728%13.4%2122112.041116%12.041116%12.0%822211.268129%11.268129%11.3%303239.212329%9.212329%9.2%26924
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Wood County, selected county subdivisions in Wood County, and entities that contain Wood County
0%1%2%3%4%5%6%Count#Plain TownshipPlainMiddleton TownshipMiddletonPerrysburgBowling GreenPerrysburg TownshipPerrysburgRossfordWood CountyWoodCenter TownshipCtrUnited States of AmericaUnited StatesToledo Metro AreaToledo AreaMidwestEast North CentralOhioFreedom TownshipFreedomPortage TownshipPortageGrand Rapids TownshipGrand RapidsWebster TownshipWebsterMilton TownshipMiltonLiberty TownshipLibertyLake TownshipTroy TownshipWashington TownshipWashingtonMontgomery TownshipMontgomeryPerry TownshipPerryHenry TownshipHenryNorthwoodWeston TownshipWestonBloom TownshipBloomFostoriaJackson TownshipJackson6.387435%6.387435%6.4%6116.254249%6.254249%6.3%18426.019949%6.019949%6.0%85735.789552%5.789552%5.8%77844.883058%4.883058%4.9%42853.788935%3.788935%3.8%16363.600402%3.600402%3.6%2,8673.552632%3.552632%3.6%2773.336158%3.336158%3.3%7,127,6737.13M2.958688%2.958688%3.0%11,78711.8k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.357255%2.357255%2.4%4582.075812%2.075812%2.1%2392.040816%2.040816%2.0%22101.597052%1.597052%1.6%13111.515152%1.515152%1.5%11121.490196%1.490196%1.5%19131.434989%1.434989%1.4%115141.091046%1.091046%1.1%29151.010101%1.010101%1.0%15160.958904%0.958904%1.0%28170.811542%0.811542%0.8%9180.520640%0.520640%0.5%14190.434116%0.434116%0.4%17200.316857%0.316857%0.3%5210.234055%0.234055%0.2%4220.000000%0.000000%0.0%0230.000000%0.000000%0.0%024
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Wood County, selected county subdivisions in Wood County, and entities that contain Wood County
Female
Male
6x4x2x0x2x4xFM#MiltonJacksonWashingtonRossfordMiddletonFostoriaBloomPortageMontgomeryWebsterMidwestToledo AreaEast North CentralUnited StatesOhioTroy TownshipLake TownshipCtrPerrysburgWoodFreedomGrand RapidsHenryWestonBowling GreenNorthwoodPerrysburgPerryLibertyPlain-1.000000x-1.000000x4.247596x4.247596x4.25x3.801%3.80%16.146%16.1%1-1.000000x-1.000000x3.112416x3.112416x3.11x6.792%6.79%21.141%21.1%2-1.000000x-1.000000x2.273504x2.273504x2.27x2.338%2.34%5.315%5.31%3-1.000000x-1.000000x2.007090x2.007090x2.01x3.469%3.47%6.963%6.96%4-1.000000x-1.000000x1.846081x1.846081x1.85x1.765%1.76%3.258%3.26%5-1.000000x-1.000000x1.810998x1.810998x1.81x8.672%8.67%15.705%15.7%6-1.000000x-1.000000x1.700300x1.700300x1.70x6.580%6.58%11.189%11.2%7-1.000000x-1.000000x1.396912x1.396912x1.40x9.294%9.29%12.982%13.0%8-1.000000x-1.000000x1.388340x1.388340x1.39x6.671%6.67%9.262%9.26%9-1.000000x-1.000000x1.273846x1.273846x1.27x3.140%3.14%4.000%4.00%10-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-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-1.000000x1.091476x1.091476x1.09x3.714%3.71%4.054%4.05%11-1.000000x-1.000000x1.080984x1.080984x1.08x6.936%6.94%7.498%7.50%12-1.011456x-1.011456x1.01x1.000000x1.000000x5.691%5.69%5.627%5.63%13-1.066372x-1.066372x1.07x1.000000x1.000000x5.131%5.13%4.812%4.81%14-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.130197x-1.130197x1.13x1.000000x1.000000x3.498%3.50%3.095%3.09%15-1.130468x-1.130468x1.13x1.000000x1.000000x7.579%7.58%6.704%6.70%16-1.134055x-1.134055x1.13x1.000000x1.000000x8.769%8.77%7.733%7.73%17-1.285405x-1.285405x1.29x1.000000x1.000000x12.030%12.0%9.359%9.36%18-1.410208x-1.410208x1.41x1.000000x1.000000x7.022%7.02%4.979%4.98%19-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%20-2.183101x-2.183101x2.18x1.000000x1.000000x3.926%3.93%1.798%1.80%21-2.284148x-2.284148x2.28x1.000000x1.000000x10.624%10.6%4.651%4.65%22-2.585753x-2.585753x2.59x1.000000x1.000000x14.138%14.1%5.468%5.47%23-6.110151x-6.110151x6.11x1.000000x1.000000x14.903%14.9%2.439%2.44%24
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 24 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Wood County, selected county subdivisions in Wood County, and entities that contain Wood County
Female
Male
10x5x0x5x10xFM#WashingtonPerryPortagePerrysburgMiddletonRossfordLake TownshipCtrLibertyOhioWoodEast North CentralBowling GreenMidwestUnited StatesToledo AreaGrand RapidsHenryPerrysburgBloomFreedomWebsterPlainMontgomeryNorthwoodTroy TownshipWestonMilton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.098%2.10%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.744%1.74%2-1.000000x-1.000000x4.483333x4.483333x4.48x0.743%0.74%3.333%3.33%3-1.000000x-1.000000x2.725812x2.725812x2.73x3.267%3.27%8.905%8.91%4-1.000000x-1.000000x2.414269x2.414269x2.41x3.725%3.73%8.994%8.99%5-1.000000x-1.000000x1.983823x1.983823x1.98x2.544%2.54%5.047%5.05%6-1.000000x-1.000000x1.965466x1.965466x1.97x0.988%0.99%1.941%1.94%7-1.000000x-1.000000x1.887468x1.887468x1.89x2.439%2.44%4.604%4.60%8-1.000000x-1.000000x1.808153x1.808153x1.81x1.034%1.03%1.871%1.87%9-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596499x1.596499x1.60x4.533%4.53%7.237%7.24%10-1.000000x-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-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.455204x1.455204x1.46x1.664%1.66%2.421%2.42%11-1.000000x-1.000000x1.358358x1.358358x1.36x0.442%0.44%0.601%0.60%12-1.000000x-1.000000x1.047166x1.047166x1.05x4.773%4.77%4.998%5.00%13-1.008226x-1.008226x1.01x1.000000x1.000000x0.235%0.24%0.233%0.23%14-1.101705x-1.101705x1.10x1.000000x1.000000x2.469%2.47%2.241%2.24%15-1.127214x-1.127214x1.13x1.000000x1.000000x1.691%1.69%1.500%1.50%16-1.530194x-1.530194x1.53x1.000000x1.000000x7.775%7.78%5.081%5.08%17-3.548068x-3.548068x3.55x1.000000x1.000000x1.482%1.48%0.418%0.42%18-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%19-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.071%2.07%0.000%0%20-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.627%0.63%0.000%0%21-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.216%3.22%0.000%0%22
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 22 by male-to-female sex ratio

Educational Attainment by County in the Toledo Area

There are 3 counties in the Toledo Area. This section compares Wood County to all of the counties in the Toledo Area and to those entities that contain or substantially overlap with Wood 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 Wood County, selected other counties in the Toledo Area, and entities that contain Wood County
0%5%10%Count#United States of AmericaUnited StatesLucas CountyLucasEast North CentralOhioMidwestToledo Metro AreaToledo AreaFulton CountyFultonWood CountyWood13.020590%13.020590%13.0%27,818,38027.8M11.204220%11.204220%11.2%32,51732.5k110.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.029971%10.029971%10.0%39,95840.0k9.556685%9.556685%9.6%2,72725.919879%5.919879%5.9%4,7143
Count number of people in category
# rank of county out of 3 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 Wood County, selected other counties in the Toledo Area, and entities that contain Wood County
0%10%20%30%Count#Wood CountyWoodUnited States of AmericaUnited StatesMidwestEast North CentralOhioToledo Metro AreaToledo AreaLucas CountyLucasFulton CountyFulton31.682783%31.682783%31.7%25,22925.2k130.315023%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%2,092,8752.09M25.829974%25.829974%25.8%102,903103k25.090190%25.090190%25.1%72,81772.8k217.021202%17.021202%17.0%4,8573
Count number of people in category
# rank of county out of 3 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 Wood County, selected other counties in the Toledo Area, and entities that contain Wood County
0%1%2%3%Count#Wood CountyWoodUnited States of AmericaUnited StatesToledo Metro AreaToledo AreaLucas CountyLucasMidwestEast North CentralOhioFulton CountyFulton3.600402%3.600402%3.6%2,86713.336158%3.336158%3.3%7,127,6737.13M2.958688%2.958688%3.0%11,78711.8k2.925012%2.925012%2.9%8,48922.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k1.510426%1.510426%1.5%4313
Count number of people in category
# rank of county out of 3 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 Wood County, selected other counties in the Toledo Area, and entities that contain Wood County
Female
Male
1x0x1xFM#LucasMidwestToledo AreaEast North CentralUnited StatesOhioFultonWood-1.000000x-1.000000x1.169306x1.169306x1.17x10.373%10.4%12.129%12.1%1-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-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-1.000000x1.096371x1.096371x1.10x9.132%9.13%10.012%10.0%2-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%3
F percentage of females in category
M percentage of males in category
# rank of county out of 3 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 Wood County, selected other counties in the Toledo Area, and entities that contain Wood County
Female
Male
1x0x1xFM#OhioWoodEast North CentralMidwestUnited StatesToledo AreaLucasFulton-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%1-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.435534x1.435534x1.44x2.425%2.43%3.481%3.48%2-1.000000x-1.000000x1.224554x1.224554x1.22x1.363%1.36%1.669%1.67%3
F percentage of females in category
M percentage of males in category
# rank of county out of 3 by male-to-female sex ratio

Educational Attainment by County in Ohio

There are 88 counties in Ohio. This section compares Wood County to the 50 most populous counties in Ohio and to those entities that contain or substantially overlap with Wood 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 Wood County, selected other counties in Ohio, and entities that contain Wood County
0%5%10%15%Count#Scioto CountySciotoWayne CountyWayneAshtabula CountyAshtabulaLawrence CountyLawrenceRoss CountyRossTuscarawas CountyTuscarawasMuskingum CountyMuskingumMarion CountyMarionUnited States of AmericaUnited StatesPickaway CountyPickawayRichland CountyRichlandClark CountyClarkAshland CountyAshlandColumbiana CountyColumbianaHuron CountyHuronCuyahoga CountyCuyahogaLucas CountyLucasTrumbull CountyTrumbullDarke CountyDarkeMiami CountyMiamiLorain CountyLorainEast North CentralAllen CountyAllenSandusky CountySanduskyOhioKnox CountyKnoxClermont CountyClermontMontgomery CountyMontgomeryAthens CountyAthensButler CountyButlerMidwestBelmont CountyBelmontJefferson CountyJeffersonToledo Metro AreaToledo AreaMahoning CountyMahoningHamilton CountyHamiltonWashington CountyWashingtonFranklin CountyFranklinLicking CountyLickingStark CountyStarkErie CountyErieShelby CountyShelbySeneca CountySenecaSummit CountySummitGeauga CountyGeaugaFairfield CountyFairfieldPortage CountyPortageUnion CountyUnionLake CountyLakeHancock CountyHancockGreene CountyGreeneWarren CountyWarrenMedina CountyMedinaWood CountyWoodDelaware CountyDelaware15.880426%15.880426%15.9%8,436114.573422%14.573422%14.6%11,02811.0k214.566860%14.566860%14.6%10,02210.0k314.348435%14.348435%14.3%6,144414.253056%14.253056%14.3%7,731514.068037%14.068037%14.1%9,011613.498115%13.498115%13.5%7,842713.413630%13.413630%13.4%6,192813.020590%13.020590%13.0%27,818,38027.8M12.917789%12.917789%12.9%5,036912.809922%12.809922%12.8%10,88610.9k1012.792826%12.792826%12.8%11,88311.9k1112.567763%12.567763%12.6%4,4281212.374124%12.374124%12.4%9,3021312.286515%12.286515%12.3%4,8201411.473065%11.473065%11.5%100,034100k1511.204220%11.204220%11.2%32,51732.5k1611.138115%11.138115%11.1%16,17816.2k1711.073863%11.073863%11.1%3,9311810.912923%10.912923%10.9%7,8191910.838036%10.838036%10.8%22,53022.5k2010.719464%10.719464%10.7%3,363,7843.36M10.716657%10.716657%10.7%7,4262110.672042%10.672042%10.7%4,3942210.514146%10.514146%10.5%825,155825k10.433639%10.433639%10.4%4,1242310.407526%10.407526%10.4%14,16114.2k2410.369633%10.369633%10.4%37,59537.6k2510.342892%10.342892%10.3%3,6862610.314030%10.314030%10.3%24,52824.5k2710.244520%10.244520%10.2%4,641,8354.64M10.147068%10.147068%10.1%5,1542810.108764%10.108764%10.1%4,8332910.029971%10.029971%10.0%39,95840.0k9.896656%9.896656%9.9%16,29916.3k309.873275%9.873275%9.9%53,29153.3k319.795325%9.795325%9.8%4,245329.640656%9.640656%9.6%78,29978.3k339.609394%9.609394%9.6%10,95011.0k349.565083%9.565083%9.6%24,75324.8k359.415905%9.415905%9.4%5,057369.300022%9.300022%9.3%3,004379.244310%9.244310%9.2%3,424389.016560%9.016560%9.0%33,82433.8k398.928599%8.928599%8.9%5,691408.257364%8.257364%8.3%8,306418.081706%8.081706%8.1%8,364428.064021%8.064021%8.1%2,892438.051408%8.051408%8.1%13,15613.2k447.505079%7.505079%7.5%3,842457.394980%7.394980%7.4%8,066467.119778%7.119778%7.1%10,53310.5k476.360906%6.360906%6.4%7,689485.919879%5.919879%5.9%4,714493.378461%3.378461%3.4%4,15050
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Wood County, selected other counties in Ohio, and entities that contain Wood 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 CountyHancockToledo Metro AreaToledo AreaLucas CountyLucasLorain CountyLorainLicking CountyLickingMahoning CountyMahoningStark CountyStarkKnox CountyKnoxErie CountyErieWayne CountyWayneMiami CountyMiamiAshland CountyAshlandWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullAllen CountyAllenPickaway CountyPickawayShelby CountyShelbyBelmont CountyBelmontRichland CountyRichlandJefferson CountyJeffersonRoss CountyRossMuskingum CountyMuskingumScioto CountySciotoTuscarawas CountyTuscarawasSandusky CountySanduskySeneca CountySenecaLawrence CountyLawrenceColumbiana CountyColumbianaHuron CountyHuronAshtabula CountyAshtabulaDarke CountyDarkeMarion CountyMarion52.455693%52.455693%52.5%64,43564.4k140.956469%40.956469%41.0%60,59160.6k238.352941%38.352941%38.4%311,493311k337.647835%37.647835%37.6%41,06441.1k437.269176%37.269176%37.3%23,75523.8k535.595553%35.595553%35.6%192,127192k631.682783%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%13,22713.2k1925.829974%25.829974%25.8%102,903103k25.090190%25.090190%25.1%72,81772.8k2023.488664%23.488664%23.5%48,82848.8k2123.329326%23.329326%23.3%26,58426.6k2222.789814%22.789814%22.8%37,53337.5k2322.631528%22.631528%22.6%58,56758.6k2421.891919%21.891919%21.9%8,6532521.593088%21.593088%21.6%11,59711.6k2621.467650%21.467650%21.5%16,24516.2k2721.063797%21.063797%21.1%15,09215.1k2819.637840%19.637840%19.6%6,9192918.409212%18.409212%18.4%7,9783017.966799%17.966799%18.0%16,68916.7k3117.959504%17.959504%18.0%26,08626.1k3217.386787%17.386787%17.4%12,04812.0k3317.306656%17.306656%17.3%6,7473417.089254%17.089254%17.1%5,5203516.407773%16.407773%16.4%8,3343616.395430%16.395430%16.4%13,93313.9k3715.429826%15.429826%15.4%7,3773815.303921%15.303921%15.3%8,3013915.066182%15.066182%15.1%8,7534014.993788%14.993788%15.0%7,9654114.979782%14.979782%15.0%9,5954214.815534%14.815534%14.8%6,1004314.711520%14.711520%14.7%5,4494414.142924%14.142924%14.1%6,0564513.935855%13.935855%13.9%10,47610.5k4613.479480%13.479480%13.5%5,2884713.119186%13.119186%13.1%9,0264813.093695%13.093695%13.1%4,6484912.295828%12.295828%12.3%5,67650
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Wood County, selected other counties in Ohio, and entities that contain Wood County
0%1%2%3%4%5%Count#Athens CountyAthensDelaware CountyDelawareGreene CountyGreeneFranklin CountyFranklinHamilton CountyHamiltonCuyahoga CountyCuyahogaWarren CountyWarrenWood CountyWoodUnited States of AmericaUnited StatesGeauga CountyGeaugaSummit CountySummitToledo Metro AreaToledo AreaLucas CountyLucasMidwestEast North CentralOhioUnion CountyUnionPortage CountyPortageKnox CountyKnoxButler CountyButlerMontgomery CountyMontgomeryLicking CountyLickingErie CountyErieMedina CountyMedinaWayne CountyWayneMahoning CountyMahoningLake CountyLakeAllen CountyAllenLorain CountyLorainStark CountyStarkHancock CountyHancockAshland CountyAshlandClermont CountyClermontFairfield CountyFairfieldJefferson CountyJeffersonWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullRoss CountyRossScioto CountySciotoLawrence CountyLawrenceMiami CountyMiamiRichland CountyRichlandShelby CountyShelbyPickaway CountyPickawayBelmont CountyBelmontMuskingum CountyMuskingumAshtabula CountyAshtabulaColumbiana CountyColumbianaSandusky CountySanduskySeneca CountySenecaMarion CountyMarionHuron CountyHuronTuscarawas CountyTuscarawasDarke CountyDarke5.390314%5.390314%5.4%1,92115.031057%5.031057%5.0%6,18024.454774%4.454774%4.5%4,85934.335519%4.335519%4.3%35,21235.2k44.198425%4.198425%4.2%22,66122.7k54.184410%4.184410%4.2%36,48436.5k63.623766%3.623766%3.6%5,36173.600402%3.600402%3.6%2,86783.336158%3.336158%3.3%7,127,6737.13M3.260170%3.260170%3.3%2,07893.147959%3.147959%3.1%11,80911.8k102.958688%2.958688%3.0%11,78711.8k2.925012%2.925012%2.9%8,489112.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.506762%2.506762%2.5%899122.505483%2.505483%2.5%2,593132.474321%2.474321%2.5%978142.445209%2.445209%2.4%5,815152.444911%2.444911%2.4%8,864162.283438%2.283438%2.3%2,602172.256689%2.256689%2.3%1,212182.239430%2.239430%2.2%2,707192.226715%2.226715%2.2%1,685202.131251%2.131251%2.1%3,510212.086903%2.086903%2.1%3,410222.046353%2.046353%2.0%1,418232.027141%2.027141%2.0%4,214241.963406%1.963406%2.0%5,081251.906548%1.906548%1.9%976261.867567%1.867567%1.9%658271.832213%1.832213%1.8%2,493281.755659%1.755659%1.8%1,766291.604267%1.604267%1.6%767301.589865%1.589865%1.6%689311.506115%1.506115%1.5%1,399321.396223%1.396223%1.4%2,028331.281319%1.281319%1.3%695341.278190%1.278190%1.3%679351.268099%1.268099%1.3%543361.179360%1.179360%1.2%845371.166143%1.166143%1.2%991381.111421%1.111421%1.1%359391.095293%1.095293%1.1%427401.025732%1.025732%1.0%521410.984560%0.984560%1.0%572420.899709%0.899709%0.9%619430.895268%0.895268%0.9%673440.871931%0.871931%0.9%359450.861254%0.861254%0.9%319460.847017%0.847017%0.8%391470.830997%0.830997%0.8%326480.771236%0.771236%0.8%494490.546510%0.546510%0.5%19450
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Wood County, selected other counties in Ohio, and entities that contain Wood County
Female
Male
1x0x1xFM#PickawayWarrenRichlandShelbyAthensHancockMarionClermontLorainTuscarawasDelawareHuronKnoxAshlandMuskingumLucasMahoningTrumbullWayneGeaugaClarkLawrenceDarkeLakeMidwestToledo AreaEast 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%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-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-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#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 Wood County, selected other counties in Ohio, and entities that contain Wood County
Female
Male
1x0x1x2x3xFM#MiamiColumbianaClarkJeffersonLawrenceAshtabulaMahoningWashingtonMontgomeryErieLorainBelmontAthensGreeneHancockGeaugaSciotoRichlandPortageDarkeButlerClermontTrumbullAllenCuyahogaOhioStarkWayneWoodAshlandSenecaTuscarawasDelawareFairfieldSummitHamiltonEast North CentralMuskingumMidwestFranklinHuronUnited StatesShelbyUnionRossKnoxToledo AreaWarrenLickingLakeLucasMedinaPickawaySanduskyMarion-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-1.000000x1.532147x1.532147x1.53x0.661%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-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-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 Wood County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Wood 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 Wood County, selected other counties in the United States, and entities that contain Wood County
0%5%10%15%20%25%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralOhioMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldToledo Metro AreaToledo AreaSuffolk CountySuffolkFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAlleghenyWood CountyWood28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k3610.029971%10.029971%10.0%39,95840.0k9.992975%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%53,97454.0k505.919879%5.919879%5.9%4,714
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 Wood County, selected other counties in the United States, and entities that contain Wood 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 CountyOrangeWood CountyWoodHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralMiami-Dade CountyMiami-DadeBexar CountyBexarOhioPhiladelphia CountyPhiladelphiaToledo Metro AreaToledo AreaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.682783%31.682783%31.7%25,22925.2k31.433296%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%272,786273k4425.829974%25.829974%25.8%102,903103k22.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Wood County, selected other counties in the United States, and entities that contain Wood 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 AngelesWood CountyWoodMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeToledo Metro AreaToledo AreaMidwestEast North CentralBexar CountyBexarQueens CountyQueensOhioFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronx12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.600402%3.600402%3.6%2,8673.598297%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%18,59118.6k412.958688%2.958688%3.0%11,78711.8k2.893416%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%15,06415.1k50
Count number of people in category
# rank of county out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Wood County, selected other counties in the United States, and entities that contain Wood County
Female
Male
1x0x1xFM#MecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestToledo AreaEast North CentralDallasSuffolkMilwaukeeWayneUnited StatesOhioOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkWoodSan 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-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-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%47-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-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 Wood County, selected other counties in the United States, and entities that contain Wood County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeOhioBexarWoodMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoToledo AreaOrangeFresnoHillsboroughHarrisMiami-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-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-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:
Bowling Green, Fostoria, Northwood, Perrysburg, Rossford
Townships:
Bloom, Center, Freedom, Grand Rapids, Henry, Jackson, Lake, Liberty, Middleton, Milton, Montgomery, Perry, Perrysburg, Plain, Portage, Troy, Washington, Webster, Weston
Unincorporated Places:
Rudolph, Stony Ridge
Villages:
Bairdstown, Bloomdale, Bradner, Custar, Cygnet, Grand Rapids, Haskins, Hoytville, Jerry City, Luckey, Millbury, Milton Center, North Baltimore, Pemberville, Portage, Risingsun, Tontogany, Walbridge, Wayne, West Millgrove, Weston
ZIP Codes:
43402, 43403, 43406, 43413, 43430, 43437, 43443, 43447, 43450, 43451, 43457, 43460, 43462, 43463, 43465, 43466, 43467, 43511, 43516, 43522, 43525, 43529, 43541, 43551, 43565, 43569, 43605, 43619, 44817, 44830, 45872
Unified School Districts:
Anthony Wayne, Bowling Green, Eastwood, Elmwood, Fostoria, Gibsonburg, Lake, Lakota, McComb, North Baltimore, Northwood, Otsego, Patrick Henry, Perrysburg, Rossford
Congressional District:
OH-5
State Senate District:
OH-2
State House District:
OH-3
Neighboring Counties:
Hancock, Henry, Lucas, Ottawa, Putnam, Sandusky, Seneca
Nearby Counties:
Allen, Crawford, Defiance, Fulton, Hardin, Lenawee, Marion, Monroe, Wyandot