Educational Attainment in Northwood, Wood County, Ohio (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wood County and Northwood
Northwood
Wood County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma228.089888%41.942735%28.089888%28.1%1,10062.155260%52.137385%62.155260%62.2%2,4349.754852%5.919879%9.754852%9.8%382
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 Wood County at large.
Scope: population of Wood County and Northwood
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-33.028002%-33.028002%-33.0%28.090%28.1%41.943%41.9%19.214379%19.214379%+19.2%62.155%62.2%52.137%52.1%64.781259%64.781259%+64.8%9.755%9.75%5.920%5.92%
% percentage with given level in Northwood
ref. percentage with given level in Wood County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Wood County and Northwood
Northwood
Wood County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.882456%00.434116%1.717945%0.434116%0.4%173.830439%9.853070%3.830439%3.8%15011.235955%18.229311%11.235955%11.2%44012.589377%10.259952%12.589377%12.6%49328.115424%20.727113%28.115424%28.1%1,10134.039837%31.410273%34.039837%34.0%1,3338.120531%4.687932%8.120531%8.1%3181.634321%0.782368%1.634321%1.6%640.000000%0.000000%0.0%0.449579%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Wood County at large.
Scope: population of Wood County and Northwood
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%1.882%1.88%-74.730488%-74.730488%-74.7%0.434%0.43%1.718%1.72%-61.124410%-61.124410%-61.1%3.830%3.83%9.853%9.85%-38.363247%-38.363247%-38.4%11.236%11.2%18.229%18.2%22.704049%22.704049%+22.7%12.589%12.6%10.260%10.3%35.645635%35.645635%+35.6%28.115%28.1%20.727%20.7%8.371669%8.371669%+8.4%34.040%34.0%31.410%31.4%73.222045%73.222045%+73.2%8.121%8.12%4.688%4.69%108.893997%108.893997%+108.9%1.634%1.63%0.782%0.78%-100.000000%-100.000000%-100.0%0.000%0%0.450%0.45%
% percentage with given level in Northwood
ref. percentage with given level in Wood County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Wood County and Northwood
More Females More Males
Wood County
Northwood
40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-35.658342%-11.123157%-35.658342%36%32.388%32.4%23.875%23.9%22.756145%9.881196%22.756145%23%55.750%55.8%68.437%68.4%-54.281236%-8.878992%-54.281236%54%11.862%11.9%7.688%7.69%
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 Wood County and Northwood
More Females More Males
Wood County
Northwood
1,000%500%0%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-1,000.000000%-1,000.000000%> 1000%98.193169%0.877%0.88%0.000%0%-97.921912%-28.226834%-97.921912%98%5.106%5.11%2.580%2.58%-1.185932%183.818336%183.818336%184%5.828%5.83%16.540%16.5%-332.786696%-42.189722%-332.786696%333%20.578%20.6%4.755%4.75%19.193258%13.369829%19.193258%19%25.632%25.6%30.551%30.6%25.788260%7.639307%25.788260%26%30.119%30.1%37.886%37.9%-109.801841%-3.296643%-109.801841%110%11.037%11.0%5.260%5.26%-22.812506%194.233687%194.233687%194%0.825%0.83%2.428%2.43%
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 Wood County and Northwood
Northwood
Wood County
0%5%10%15%20%B.X.Total65+45-6435-4425-342.092050%12.130966%2.092050%2.1%157175.996669%16.734835%5.996669%6.0%1081,80122.549020%21.918472%22.549020%22.5%13861222.773537%24.998374%22.773537%22.8%179786
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 Wood County at large.
Scope: population of Wood County and Northwood
80%60%40%20%0%%ref.65+45-6435-4425-34-82.754463%-82.754463%82.8%2.092%2.09%12.131%12.1%-64.166552%-64.166552%64.2%5.997%6.00%16.735%16.7%2.876787%2.876787%2.9%22.549%22.5%21.918%21.9%-8.899928%-8.899928%8.9%22.774%22.8%24.998%25.0%
% percentage in Northwood with a Bachelor's degree
ref percentage in Wood County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Wood County and Northwood
More Females More Males
Wood County
Northwood
0%500%1,000%FM65+45-6435-4425-341,000.000000%29.025776%1,000.000000%> 1000%0.000%0%4.505%4.50%1,000.000000%1.710327%1,000.000000%> 1000%0.000%0%11.765%11.8%-28.954366%156.366723%156.366723%156.4%12.583%12.6%32.258%32.3%-11.160266%23.333333%23.333333%23.3%20.270%20.3%25.000%25.0%
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 Wood County and Northwood
Northwood
Wood County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$60,515.000000$61,152.000000$60,515.000000$60.5k1674.265%4.26%$50,114.000000$51,395.000000$50,114.000000$50.1k44011.236%11.2%$38,259.000000$35,007.000000$38,259.000000$38.3k1,59440.705%40.7%$33,250.000000$29,852.000000$33,250.000000$33.3k1,33334.040%34.0%$40,478.000000$38,821.000000$40,478.000000$40.5k3,916100.000%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 Wood County and Northwood
Female Male
Wood County
Northwood
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-51,667.000000$-53,976.000000$-51,667.000000$51.7k$51,667.000000$12,468.000000$53,976.000000$19,548.000000$64,135.000000$64.1k11651$-30,724.000000$-40,580.000000$-30,724.000000$30.7k$30,724.000000$24,202.000000$40,580.000000$25,898.000000$54,926.000000$54.9k113327$-35,732.000000$-28,667.000000$-35,732.000000$35.7k$35,732.000000$6,950.000000$28,667.000000$15,598.000000$42,682.000000$42.7k896698$-27,869.000000$-23,100.000000$-27,869.000000$27.9k$27,869.000000$12,964.000000$23,100.000000$12,235.000000$40,833.000000$40.8k584749$-34,353.000000$-31,501.000000$-34,353.000000$34.4k$34,353.000000$10,835.000000$31,501.000000$15,379.000000$45,188.000000$45.2k1,9391,977
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 Wood County and Northwood
Northwood
Wood County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%48.717949%100.000000%100.0%440.000000%0.000000%0.0%41.666667%00.000000%0.000000%0.0%9.615385%00.000000%0.000000%0.000000%0.0%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 Wood County and Northwood
Northwood
Wood County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.162162%85.687267%87.162162%87.2%51668.527565%78.079614%68.527565%68.5%98267.960199%72.010444%67.960199%68.0%68310.650888%45.821671%10.650888%10.7%18
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 Wood County and Northwood
Female Male
Wood County
Northwood
Shaded bar tips show excess over facing bar.
10%5%0%5%10%15%MFWhite1Hispanic2-7.246377%-4.885142%-5.080237%-0.679606%-12.131519%12.1%7.246377%5.080237%7.246377%7.2%135214-0.000000%-13.743219%0.000000%0.0%0.000000%0.000000%13.743219%5.153002%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Wood County and Northwood
Female Male
Wood County
Northwood
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1Hispanic2-11.111111%-30.665384%-1.421001%-11.111111%11.1%11.111111%9.178744%30.665384%20.289855%20.3%378196-0.000000%-23.913043%-19.891501%-23.913043%23.9%0.000000%19.891501%0.204480%0.000000%0.0%033
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Northwood

Coarse: Post-Secondary Degree Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
28.0%31.0%33.8%36.7%39.6%42.5%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
53.0%55.1%57.3%59.4%61.5%63.7%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
4.5%5.6%6.6%7.7%8.7%9.8%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.40%0.81%1.21%1.62%2.02%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.43%0.68%0.92%1.16%1.40%1.65%

Detailed: Master's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
3.83%4.25%4.66%5.07%5.49%5.91%

Detailed: Bachelor's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
11.2%13.5%15.8%18.1%20.4%22.7%

Detailed: Associate's Degree Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
8.1%9.1%9.9%10.8%11.7%12.6%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
24.9%25.6%26.2%26.9%27.5%28.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.8%30.0%32.2%34.3%36.5%38.7%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
4.5%5.2%6.0%6.7%7.4%8.2%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.33%0.65%0.98%1.31%1.64%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.31%0.61%0.92%1.23%1.54%
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Educational Attainment by County Subdivision in the Toledo Area

There are 53 county subdivisions in the Toledo Area. This section compares Northwood to the 50 most populous county subdivisions in the Toledo Area and to those entities that contain or substantially overlap with Northwood. The least populous of the compared county subdivisions has a population of 883.

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Northwood, selected other county subdivisions in the Toledo Area, and entities that contain Northwood
0%5%10%15%Count#Washington TownshipWashingtonJackson TownshipJacksonToledoDover TownshipDoverClinton TownshipClintonUnited States of AmericaUnited StatesRoyalton TownshipRoyaltonFostoriaPortage TownshipPortageEast North CentralWeston TownshipWestonOhioMilton TownshipMiltonMidwestGerman TownshipGermanToledo Metro AreaToledo AreaChesterfield TownshipChesterfieldOregonNorthwoodNorthwoodGorham TownshipGorhamLiberty TownshipLibertySwanton TownshipSwantonBloom TownshipBloomSpencer TownshipSpencerPlain TownshipPlainHenry TownshipHenryFulton TownshipFultonMontgomery TownshipMontgomeryPerry TownshipPerrySwan Creek TownshipSwan CrkLake TownshipGrand Rapids TownshipGrand RapidsPike TownshipSpringfield TownshipSpringfieldJerusalem TownshipJerusalemYork TownshipBowling GreenWood CountyWoodCenter TownshipCtrRossfordPerrysburg TownshipPerrysburgAmboy TownshipAmboyProvidence TownshipProvidenceSylvania TownshipSylvaniaMonclova TownshipMonclovaMaumeeRoche de Boeuf TownshipRoche de BoeufRichfield TownshipRichfieldTroy TownshipOttawa HillsWashington TownshipWashingtonWebster TownshipWebsterFreedom TownshipFreedomPerrysburgMiddleton TownshipMiddletonWaterville TownshipWaterville16.709622%16.709622%16.7%389114.387211%14.387211%14.4%81214.332972%14.332972%14.3%26,34326.3k313.746370%13.746370%13.7%142413.611644%13.611644%13.6%851513.020590%13.020590%13.0%27,818,38027.8M12.711864%12.711864%12.7%135611.894273%11.894273%11.9%81711.191336%11.191336%11.2%124810.719464%10.719464%10.7%3,363,7843.36M10.709759%10.709759%10.7%169910.514146%10.514146%10.5%825,155825k10.330579%10.330579%10.3%751010.244520%10.244520%10.2%4,641,8354.64M10.073214%10.073214%10.1%3991110.029971%10.029971%10.0%39,95840.0k9.971910%9.971910%10.0%71129.837486%9.837486%9.8%1,362139.754852%9.754852%9.8%3829.754852%9.754852%9.8%382149.573725%9.573725%9.6%137159.411765%9.411765%9.4%120169.297052%9.297052%9.3%205178.894090%8.894090%8.9%152188.614865%8.614865%8.6%102198.481675%8.481675%8.5%81208.255857%8.255857%8.3%222217.984791%7.984791%8.0%168227.945205%7.945205%7.9%232237.844905%7.844905%7.8%87247.316675%7.316675%7.3%448257.199900%7.199900%7.2%577267.142857%7.142857%7.1%77276.954612%6.954612%7.0%95286.714736%6.714736%6.7%1,192296.571301%6.571301%6.6%147306.214489%6.214489%6.2%175316.072332%6.072332%6.1%816325.919879%5.919879%5.9%4,7145.657895%5.657895%5.7%43335.206881%5.206881%5.2%224344.974330%4.974330%5.0%436354.811899%4.811899%4.8%55364.519071%4.519071%4.5%109374.322119%4.322119%4.3%1,462384.313680%4.313680%4.3%368394.247697%4.247697%4.2%415404.135853%4.135853%4.1%151413.882657%3.882657%3.9%45423.875094%3.875094%3.9%103433.830508%3.830508%3.8%113443.771044%3.771044%3.8%56453.562654%3.562654%3.6%29463.300157%3.300157%3.3%63472.887047%2.887047%2.9%411482.481305%2.481305%2.5%73491.905941%1.905941%1.9%7750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Northwood, selected other county subdivisions in the Toledo Area, and entities that contain Northwood
0%20%40%60%Count#Ottawa HillsPerrysburgMonclova TownshipMonclovaSylvania TownshipSylvaniaCenter TownshipCtrPlain TownshipPlainBowling GreenMiddleton TownshipMiddletonRoche de Boeuf TownshipRoche de BoeufWaterville TownshipWatervilleMaumeeSpringfield TownshipSpringfieldPerrysburg TownshipPerrysburgPortage TownshipPortageWood CountyWoodFreedom TownshipFreedomUnited States of AmericaUnited StatesWashington TownshipWashingtonMidwestEast North CentralOhioToledo Metro AreaToledo AreaRossfordGerman TownshipGermanGrand Rapids TownshipGrand RapidsProvidence TownshipProvidenceTroy TownshipWebster TownshipWebsterRichfield TownshipRichfieldYork TownshipOregonSpencer TownshipSpencerLake TownshipToledoClinton TownshipClintonJerusalem TownshipJerusalemFulton TownshipFultonWashington TownshipWashingtonLiberty TownshipLibertyMilton TownshipMiltonPerry TownshipPerryBloom TownshipBloomJackson TownshipJacksonSwan Creek TownshipSwan CrkNorthwoodNorthwoodAmboy TownshipAmboyRoyalton TownshipRoyaltonWeston TownshipWestonSwanton TownshipSwantonGorham TownshipGorhamChesterfield TownshipChesterfieldFostoriaHenry TownshipHenryPike TownshipDover TownshipDoverMontgomery TownshipMontgomery77.423729%77.423729%77.4%2,284151.046642%51.046642%51.0%7,267246.454109%46.454109%46.5%3,963346.115414%46.115414%46.1%15,59915.6k444.868421%44.868421%44.9%341542.513089%42.513089%42.5%406642.357494%42.357494%42.4%5,692741.298436%41.298436%41.3%1,215840.810737%40.810737%40.8%1,490937.871287%37.871287%37.9%1,5301037.062436%37.062436%37.1%3,6211136.407165%36.407165%36.4%6,4631234.649173%34.649173%34.6%3,0371331.949458%31.949458%31.9%3541431.682783%31.682783%31.7%25,22925.2k30.958617%30.958617%31.0%5911530.315023%30.315023%30.3%64,767,78764.8M29.764310%29.764310%29.8%4421628.952816%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%1,1101725.776319%25.776319%25.8%1,0211823.933210%23.933210%23.9%2581922.512438%22.512438%22.5%5432020.993228%20.993228%21.0%5582120.761671%20.761671%20.8%1692220.707506%20.707506%20.7%2402318.785511%18.785511%18.8%5292418.331528%18.331528%18.3%2,5382518.327703%18.327703%18.3%2172618.118293%18.118293%18.1%1,4522718.048021%18.048021%18.0%33,17133.2k2817.690339%17.690339%17.7%1,1062917.523469%17.523469%17.5%3923017.300380%17.300380%17.3%3643116.323024%16.323024%16.3%3803216.313725%16.313725%16.3%2083316.115702%16.115702%16.1%1173416.050496%16.050496%16.1%1783515.974254%15.974254%16.0%2733615.630551%15.630551%15.6%883715.547934%15.547934%15.5%9523815.500511%15.500511%15.5%60715.500511%15.500511%15.5%6073913.998250%13.998250%14.0%1604013.935970%13.935970%13.9%1484113.434728%13.434728%13.4%2124212.789116%12.789116%12.8%2824312.718379%12.718379%12.7%1824412.219101%12.219101%12.2%874512.041116%12.041116%12.0%824611.268129%11.268129%11.3%3034710.834553%10.834553%10.8%148489.680542%9.680542%9.7%100499.212329%9.212329%9.2%26950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Northwood, selected other county subdivisions in the Toledo Area, and entities that contain Northwood
0%5%10%15%Count#Ottawa HillsSylvania TownshipSylvaniaMonclova TownshipMonclovaPlain TownshipPlainMiddleton TownshipMiddletonPerrysburgBowling GreenPerrysburg TownshipPerrysburgSpringfield TownshipSpringfieldPike TownshipRossfordWood CountyWoodCenter TownshipCtrWaterville TownshipWatervilleUnited States of AmericaUnited StatesRoche de Boeuf TownshipRoche de BoeufMaumeeToledo Metro AreaToledo AreaMidwestEast North CentralOhioRichfield TownshipRichfieldFreedom TownshipFreedomJerusalem TownshipJerusalemFulton TownshipFultonPortage TownshipPortageGrand Rapids TownshipGrand RapidsProvidence TownshipProvidenceSwan Creek TownshipSwan CrkOregonToledoWebster TownshipWebsterClinton TownshipClintonMilton TownshipMiltonLiberty TownshipLibertyLake TownshipGorham TownshipGorhamRoyalton TownshipRoyaltonSpencer TownshipSpencerGerman TownshipGermanTroy TownshipDover TownshipDoverYork TownshipWashington TownshipWashingtonMontgomery TownshipMontgomerySwanton TownshipSwantonPerry TownshipPerryWashington TownshipWashingtonAmboy TownshipAmboyHenry TownshipHenryNorthwoodNorthwoodWeston TownshipWestonBloom TownshipBloomFostoriaChesterfield TownshipChesterfieldJackson TownshipJackson19.728814%19.728814%19.7%58217.470585%7.470585%7.5%2,52726.798734%6.798734%6.8%58036.387435%6.387435%6.4%6146.254249%6.254249%6.3%18456.019949%6.019949%6.0%85765.789552%5.789552%5.8%77874.883058%4.883058%4.9%42884.467102%4.467102%4.5%79394.099561%4.099561%4.1%56103.788935%3.788935%3.8%163113.600402%3.600402%3.6%2,8673.552632%3.552632%3.6%27123.514851%3.514851%3.5%142133.336158%3.336158%3.3%7,127,6737.13M3.231991%3.231991%3.2%118143.193449%3.193449%3.2%312152.958688%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%210,582211k2.588438%2.588438%2.6%30162.357255%2.357255%2.4%45172.235136%2.235136%2.2%50182.091255%2.091255%2.1%44192.075812%2.075812%2.1%23202.040816%2.040816%2.0%22211.990050%1.990050%2.0%48221.780173%1.780173%1.8%109231.733478%1.733478%1.7%240241.642065%1.642065%1.6%3,018251.597052%1.597052%1.6%13261.535509%1.535509%1.5%96271.515152%1.515152%1.5%11281.490196%1.490196%1.5%19291.434989%1.434989%1.4%115301.397624%1.397624%1.4%20311.318267%1.318267%1.3%14321.182432%1.182432%1.2%14331.161323%1.161323%1.2%46341.091046%1.091046%1.1%29351.064860%1.064860%1.1%11361.029830%1.029830%1.0%29371.010101%1.010101%1.0%15380.958904%0.958904%1.0%28390.816327%0.816327%0.8%18400.811542%0.811542%0.8%9410.730241%0.730241%0.7%17420.524934%0.524934%0.5%6430.520640%0.520640%0.5%14440.434116%0.434116%0.4%170.434116%0.434116%0.4%17450.316857%0.316857%0.3%5460.234055%0.234055%0.2%4470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#32

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 Northwood, selected other county subdivisions in the Toledo Area, and entities that contain Northwood
Female
Male
6x4x2x0x2x4xFM#MiltonJacksonRoyaltonWashingtonRossfordMiddletonFostoriaBloomDoverGorhamMaumeePortageMontgomeryGermanSpencerWebsterToledoSwantonPike TownshipMidwestToledo AreaEast North CentralYork TownshipUnited StatesOhioTroy TownshipLake TownshipWatervilleMonclovaSwan CrkSpringfieldFultonCtrPerrysburgOttawa HillsSylvaniaWashingtonClintonWoodFreedomGrand RapidsHenryJerusalemAmboyOregonWestonBowling GreenRoche de BoeufNorthwoodNorthwoodRichfieldChesterfieldPerrysburgPerryLibertyProvidencePlain-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-1.000000x2.556031x2.556031x2.56x7.209%7.21%18.426%18.4%3-1.000000x-1.000000x2.273504x2.273504x2.27x2.338%2.34%5.315%5.31%4-1.000000x-1.000000x2.007090x2.007090x2.01x3.469%3.47%6.963%6.96%5-1.000000x-1.000000x1.846081x1.846081x1.85x1.765%1.76%3.258%3.26%6-1.000000x-1.000000x1.810998x1.810998x1.81x8.672%8.67%15.705%15.7%7-1.000000x-1.000000x1.700300x1.700300x1.70x6.580%6.58%11.189%11.2%8-1.000000x-1.000000x1.694726x1.694726x1.69x10.413%10.4%17.647%17.6%9-1.000000x-1.000000x1.638480x1.638480x1.64x7.205%7.20%11.805%11.8%10-1.000000x-1.000000x1.497052x1.497052x1.50x3.435%3.44%5.143%5.14%11-1.000000x-1.000000x1.396912x1.396912x1.40x9.294%9.29%12.982%13.0%12-1.000000x-1.000000x1.388340x1.388340x1.39x6.671%6.67%9.262%9.26%13-1.000000x-1.000000x1.358015x1.358015x1.36x8.649%8.65%11.745%11.7%14-1.000000x-1.000000x1.314560x1.314560x1.31x7.524%7.52%9.890%9.89%15-1.000000x-1.000000x1.273846x1.273846x1.27x3.140%3.14%4.000%4.00%16-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%17-1.000000x-1.000000x1.178023x1.178023x1.18x8.543%8.54%10.064%10.1%18-1.000000x-1.000000x1.130509x1.130509x1.13x6.515%6.52%7.365%7.37%19-1.000000x-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-1.000000x1.123639x1.123639x1.12x5.882%5.88%6.610%6.61%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.091476x1.091476x1.09x3.714%3.71%4.054%4.05%21-1.000000x-1.000000x1.080984x1.080984x1.08x6.936%6.94%7.498%7.50%22-1.000000x-1.000000x1.079482x1.079482x1.08x1.835%1.83%1.981%1.98%23-1.000000x-1.000000x1.058484x1.058484x1.06x4.196%4.20%4.441%4.44%24-1.000000x-1.000000x1.051937x1.051937x1.05x7.134%7.13%7.504%7.50%25-1.000000x-1.000000x1.051097x1.051097x1.05x6.552%6.55%6.887%6.89%26-1.000000x-1.000000x1.050929x1.050929x1.05x7.782%7.78%8.178%8.18%27-1.011456x-1.011456x1.01x1.000000x1.000000x5.691%5.69%5.627%5.63%28-1.066372x-1.066372x1.07x1.000000x1.000000x5.131%5.13%4.812%4.81%29-1.068229x-1.068229x1.07x1.000000x1.000000x3.951%3.95%3.698%3.70%30-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%31-1.078847x-1.078847x1.08x1.000000x1.000000x17.282%17.3%16.019%16.0%32-1.081939x-1.081939x1.08x1.000000x1.000000x14.120%14.1%13.051%13.1%33-1.088790x-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%34-1.130468x-1.130468x1.13x1.000000x1.000000x7.579%7.58%6.704%6.70%35-1.134055x-1.134055x1.13x1.000000x1.000000x8.769%8.77%7.733%7.73%36-1.182653x-1.182653x1.18x1.000000x1.000000x7.143%7.14%6.040%6.04%37-1.210664x-1.210664x1.21x1.000000x1.000000x5.254%5.25%4.340%4.34%38-1.212436x-1.212436x1.21x1.000000x1.000000x10.730%10.7%8.850%8.85%39-1.285405x-1.285405x1.29x1.000000x1.000000x12.030%12.0%9.359%9.36%40-1.410208x-1.410208x1.41x1.000000x1.000000x7.022%7.02%4.979%4.98%41-1.499475x-1.499475x1.50x1.000000x1.000000x4.902%4.90%3.269%3.27%42-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%43-1.582447x-1.582447x1.58x1.000000x1.000000x4.787%4.79%3.025%3.03%44-1.854744x-1.854744x1.85x1.000000x1.000000x13.213%13.2%7.124%7.12%45-2.183101x-2.183101x2.18x1.000000x1.000000x3.926%3.93%1.798%1.80%46-2.284148x-2.284148x2.28x1.000000x1.000000x10.624%10.6%4.651%4.65%47-2.585753x-2.585753x2.59x1.000000x1.000000x14.138%14.1%5.468%5.47%48-3.755615x-3.755615x3.76x1.000000x1.000000x6.918%6.92%1.842%1.84%49-6.110151x-6.110151x6.11x1.000000x1.000000x14.903%14.9%2.439%2.44%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#33

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 Northwood, selected other county subdivisions in the Toledo Area, and entities that contain Northwood
Female
Male
10x5x0x5x10xFM#WashingtonWashingtonAmboyPerryRoyaltonPortageSwan CrkPerrysburgClintonMiddletonSpringfieldWatervilleRoche de BoeufRossfordLake TownshipCtrGermanLibertySylvaniaOhioWoodMaumeeEast North CentralBowling GreenMidwestMonclovaUnited StatesOttawa HillsToledo AreaGrand RapidsHenryToledoPerrysburgPike TownshipOregonBloomRichfieldFreedomWebsterPlainMontgomeryProvidenceFultonNorthwoodNorthwoodYork TownshipTroy TownshipJerusalemSwantonWestonGorhamSpencerDoverMilton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.611%1.61%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.098%2.10%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.085%1.08%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.744%1.74%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.687%2.69%5-1.000000x-1.000000x4.483333x4.483333x4.48x0.743%0.74%3.333%3.33%6-1.000000x-1.000000x2.962668x2.962668x2.96x0.904%0.90%2.678%2.68%7-1.000000x-1.000000x2.725812x2.725812x2.73x3.267%3.27%8.905%8.91%8-1.000000x-1.000000x2.548140x2.548140x2.55x0.884%0.88%2.254%2.25%9-1.000000x-1.000000x2.414269x2.414269x2.41x3.725%3.73%8.994%8.99%10-1.000000x-1.000000x2.149667x2.149667x2.15x2.864%2.86%6.157%6.16%11-1.000000x-1.000000x2.125985x2.125985x2.13x2.269%2.27%4.825%4.82%12-1.000000x-1.000000x2.124728x2.124728x2.12x2.116%2.12%4.495%4.50%13-1.000000x-1.000000x1.983823x1.983823x1.98x2.544%2.54%5.047%5.05%14-1.000000x-1.000000x1.965466x1.965466x1.97x0.988%0.99%1.941%1.94%15-1.000000x-1.000000x1.887468x1.887468x1.89x2.439%2.44%4.604%4.60%16-1.000000x-1.000000x1.826198x1.826198x1.83x0.842%0.84%1.537%1.54%17-1.000000x-1.000000x1.808153x1.808153x1.81x1.034%1.03%1.871%1.87%18-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%19-1.000000x-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-1.000000x1.605904x1.605904x1.61x2.479%2.48%3.981%3.98%20-1.000000x-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%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576784x1.576784x1.58x5.324%5.32%8.394%8.39%22-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.489395x1.489395x1.49x15.997%16.0%23.826%23.8%23-1.000000x-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%24-1.000000x-1.000000x1.358358x1.358358x1.36x0.442%0.44%0.601%0.60%25-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%26-1.000000x-1.000000x1.047166x1.047166x1.05x4.773%4.77%4.998%5.00%27-1.000000x-1.000000x1.004092x1.004092x1.00x4.091%4.09%4.108%4.11%28-1.000000x-1.000000x1.000109x1.000109x1.00x1.733%1.73%1.734%1.73%29-1.008226x-1.008226x1.01x1.000000x1.000000x0.235%0.24%0.233%0.23%30-1.054965x-1.054965x1.05x1.000000x1.000000x2.660%2.66%2.521%2.52%31-1.101705x-1.101705x1.10x1.000000x1.000000x2.469%2.47%2.241%2.24%32-1.127214x-1.127214x1.13x1.000000x1.000000x1.691%1.69%1.500%1.50%33-1.530194x-1.530194x1.53x1.000000x1.000000x7.775%7.78%5.081%5.08%34-3.548068x-3.548068x3.55x1.000000x1.000000x1.482%1.48%0.418%0.42%35-4.481132x-4.481132x4.48x1.000000x1.000000x3.145%3.14%0.702%0.70%36-8.164202x-8.164202x8.16x1.000000x1.000000x3.794%3.79%0.465%0.46%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.895%1.90%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.071%2.07%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.638%4.64%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.619%1.62%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.627%0.63%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.882%2.88%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.194%2.19%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.975%1.97%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.216%3.22%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in Ohio

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

No H.S. Diploma by County Subdivision#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Northwood, selected other county subdivisions in Ohio, and entities that contain Northwood
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColerain TownshipColerainEast North CentralEuclidOhioMidwestToledo Metro AreaToledo AreaParmaNorthwoodNorthwoodFindlayFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringWood CountyWoodGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981214.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5222210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.029971%10.029971%10.0%39,95840.0k9.939137%9.939137%9.9%5,683239.754852%9.754852%9.8%3829.754852%9.754852%9.8%3829.003845%9.003845%9.0%2,482248.712972%8.712972%8.7%2,559258.614662%8.614662%8.6%3,080268.597523%8.597523%8.6%2,777277.261193%7.261193%7.3%1,797286.480864%6.480864%6.5%1,944296.307136%6.307136%6.3%1,918306.197364%6.197364%6.2%2,215316.171554%6.171554%6.2%2,311326.109570%6.109570%6.1%2,246335.953744%5.953744%6.0%2,340345.919879%5.919879%5.9%4,7145.804316%5.804316%5.8%2,402355.764815%5.764815%5.8%1,682365.727981%5.727981%5.7%2,390375.628396%5.628396%5.6%1,554385.595517%5.595517%5.6%1,408395.268752%5.268752%5.3%1,834405.136204%5.136204%5.1%1,169414.322119%4.322119%4.3%1,462424.066023%4.066023%4.1%1,313433.979966%3.979966%4.0%1,041443.830735%3.830735%3.8%1,118453.637690%3.637690%3.6%1,496463.351036%3.351036%3.4%978473.293195%3.293195%3.3%815483.105178%3.105178%3.1%1,170491.754602%1.754602%1.8%42850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Northwood, selected other county subdivisions in Ohio, and entities that contain Northwood
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorWood CountyWoodBoardman TownshipBoardmanUnited States of AmericaUnited StatesUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioToledo Metro AreaToledo AreaHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandNorthwoodNorthwoodElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k157.851139%57.851139%57.9%14,31714.3k256.039061%56.039061%56.0%16,35516.4k352.483891%52.483891%52.5%21,58421.6k451.261976%51.261976%51.3%19,31519.3k550.973364%50.973364%51.0%15,50115.5k650.549209%50.549209%50.5%11,50511.5k747.424805%47.424805%47.4%19,78819.8k846.115414%46.115414%46.1%15,59915.6k944.614765%44.614765%44.6%14,40714.4k1043.925605%43.925605%43.9%11,05311.1k1143.657287%43.657287%43.7%11,41911.4k1243.651053%43.651053%43.7%16,04716.0k1342.654835%42.654835%42.7%11,77711.8k1441.432243%41.432243%41.4%12,09212.1k1534.685843%34.685843%34.7%185,460185k1633.783048%33.783048%33.8%64,52964.5k1733.391853%33.391853%33.4%13,12413.1k1833.138386%33.138386%33.1%12,40912.4k1932.914482%32.914482%32.9%13,62113.6k2032.380180%32.380180%32.4%11,57311.6k2132.238789%32.238789%32.2%11,22211.2k2231.682783%31.682783%31.7%25,22925.2k31.219796%31.219796%31.2%9,1092330.315023%30.315023%30.3%64,767,78764.8M29.613003%29.613003%29.6%9,5652428.997200%28.997200%29.0%8,6982528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882626.954091%26.954091%27.0%6,6522726.775738%26.775738%26.8%7,3812826.713842%26.713842%26.7%9,5512926.667466%26.667466%26.7%2,092,8752.09M25.829974%25.829974%25.8%102,903103k22.834168%22.834168%22.8%5,6513021.665661%21.665661%21.7%8,6163120.614221%20.614221%20.6%6,8133220.213821%20.213821%20.2%26,69726.7k3319.988457%19.988457%20.0%11,42911.4k3418.053148%18.053148%18.1%5,7273518.048021%18.048021%18.0%33,17133.2k3617.635555%17.635555%17.6%15,51115.5k3716.631922%16.631922%16.6%5,1063816.462939%16.462939%16.5%4,4313916.073076%16.073076%16.1%40,94640.9k4015.500511%15.500511%15.5%60715.500511%15.500511%15.5%60715.411739%15.411739%15.4%5,5514115.075315%15.075315%15.1%6,1454214.851256%14.851256%14.9%5,7664314.608666%14.608666%14.6%6,8244413.812631%13.812631%13.8%4,4884512.832476%12.832476%12.8%3,4934612.044055%12.044055%12.0%5,2604711.718579%11.718579%11.7%4,8124811.460139%11.460139%11.5%2,6454910.478559%10.478559%10.5%3,24550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#36

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Northwood, selected other county subdivisions in Ohio, and entities that contain Northwood
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringWood CountyWoodLiberty TownshipLibertyMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesPlain TownshipPlainToledo Metro AreaToledo AreaBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkronJackson TownshipJacksonClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarionNorthwoodNorthwood10.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%3.778338%3.8%1,485133.600402%3.600402%3.6%2,8673.514938%3.514938%3.5%800143.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.336158%3.336158%3.3%7,127,6737.13M3.036372%3.036372%3.0%1,137172.958688%2.958688%3.0%11,78711.8k2.957809%2.957809%3.0%863182.940052%2.940052%2.9%769192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.481744%2.481744%2.5%887212.476862%2.476862%2.5%1,025222.451477%2.451477%2.5%605232.163955%2.163955%2.2%2,858242.063608%2.063608%2.1%619251.927780%1.927780%1.9%4,911261.815622%1.815622%1.8%632271.815530%1.815530%1.8%722281.762090%1.762090%1.8%630291.675978%1.675978%1.7%462301.642065%1.642065%1.6%3,018311.545396%1.545396%1.5%600321.477698%1.477698%1.5%434331.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.257490%1.257490%1.3%1,106371.245933%1.245933%1.2%582381.241352%1.241352%1.2%506391.238390%1.238390%1.2%400401.236490%1.236490%1.2%707411.182108%1.182108%1.2%375421.159205%1.159205%1.2%312431.104887%1.104887%1.1%359440.996743%0.996743%1.0%306450.964372%0.964372%1.0%396460.952302%0.952302%1.0%343470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.720098%0.720098%0.7%223500.434116%0.434116%0.4%170.434116%0.434116%0.4%17
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#37

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 Northwood, selected other county subdivisions in Ohio, and entities that contain Northwood
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainMarionYoungstownColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestToledo AreaEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioLimaParmaColumbusClevelandDeerfieldMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidWoodMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringNorthwoodNorthwoodWashingtonBoardmanViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.332397x1.332397x1.33x2.666%2.67%3.552%3.55%4-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%7.70%9.573%9.57%5-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%6-1.000000x-1.000000x1.222843x1.222843x1.22x8.133%8.13%9.946%9.95%7-1.000000x-1.000000x1.207850x1.207850x1.21x16.045%16.0%19.380%19.4%8-1.000000x-1.000000x1.204406x1.204406x1.20x14.131%14.1%17.020%17.0%9-1.000000x-1.000000x1.194114x1.194114x1.19x15.554%15.6%18.574%18.6%10-1.000000x-1.000000x1.175447x1.175447x1.18x10.032%10.0%11.792%11.8%11-1.000000x-1.000000x1.173903x1.173903x1.17x5.370%5.37%6.304%6.30%12-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%13-1.000000x-1.000000x1.166450x1.166450x1.17x12.379%12.4%14.439%14.4%14-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%15-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.124452x1.124452x1.12x16.027%16.0%18.022%18.0%17-1.000000x-1.000000x1.124390x1.124390x1.12x14.230%14.2%16.000%16.0%18-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%19-1.000000x-1.000000x1.109752x1.109752x1.11x14.885%14.9%16.518%16.5%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.087544x1.087544x1.09x15.592%15.6%16.957%17.0%21-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%24-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%25-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%26-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%28-1.000000x-1.000000x1.027725x1.027725x1.03x6.093%6.09%6.262%6.26%29-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%30-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%31-1.000000x-1.000000x1.021443x1.021443x1.02x7.189%7.19%7.344%7.34%32-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%33-1.000000x-1.000000x1.006889x1.006889x1.01x3.818%3.82%3.844%3.84%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%36-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%37-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%40-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.123601x-1.123601x1.12x1.000000x1.000000x9.091%9.09%8.091%8.09%41-1.132510x-1.132510x1.13x1.000000x1.000000x6.567%6.57%5.799%5.80%42-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%43-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%44-1.295653x-1.295653x1.30x1.000000x1.000000x13.964%14.0%10.778%10.8%45-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%46-1.505212x-1.505212x1.51x1.000000x1.000000x7.040%7.04%4.677%4.68%47-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%-1.641786x-1.641786x1.64x1.000000x1.000000x4.457%4.46%2.715%2.71%48-1.660386x-1.660386x1.66x1.000000x1.000000x7.066%7.07%4.256%4.26%49-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#38

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 Northwood, selected other county subdivisions in Ohio, and entities that contain Northwood
Female
Male
10x5x0xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipOhioWoodFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestWarrenUnited StatesLibertyToledo AreaParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsLimaNorthwoodNorthwood-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%2-1.000000x-1.000000x2.977263x2.977263x2.98x3.534%3.53%10.523%10.5%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.780060x2.780060x2.78x1.621%1.62%4.507%4.51%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%7-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%8-1.000000x-1.000000x2.437656x2.437656x2.44x0.991%0.99%2.417%2.42%9-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%10-1.000000x-1.000000x2.183841x2.183841x2.18x3.386%3.39%7.394%7.39%11-1.000000x-1.000000x2.155653x2.155653x2.16x2.468%2.47%5.319%5.32%12-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%13-1.000000x-1.000000x2.024516x2.024516x2.02x2.059%2.06%4.169%4.17%14-1.000000x-1.000000x2.007898x2.007898x2.01x4.457%4.46%8.948%8.95%15-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%16-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%17-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%18-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%19-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%20-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%21-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%22-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%23-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%24-1.000000x-1.000000x1.691857x1.691857x1.69x1.833%1.83%3.102%3.10%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%26-1.000000x-1.000000x1.650301x1.650301x1.65x0.820%0.82%1.353%1.35%27-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%28-1.000000x-1.000000x1.627164x1.627164x1.63x1.044%1.04%1.699%1.70%29-1.000000x-1.000000x1.624128x1.624128x1.62x3.883%3.88%6.306%6.31%30-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%32-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%33-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%34-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%35-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Northwood, selected other county subdivisions in the Midwest, and entities that contain Northwood
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthOhioMidwestLawrence TownshipLawrenceToledo Metro AreaToledo AreaNorthwoodNorthwoodSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsWood CountyWoodYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,1613310.029971%10.029971%10.0%39,95840.0k9.754852%9.754852%9.8%3829.754852%9.754852%9.8%3829.702326%9.702326%9.7%9,123348.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.919879%5.919879%5.9%4,7145.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Northwood, selected other county subdivisions in the Midwest, and entities that contain Northwood
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsWood CountyWoodUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoToledo Metro AreaToledo AreaWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipNorthwoodNorthwoodDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.682783%31.682783%31.7%25,22925.2k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.829974%25.829974%25.8%102,903103k25.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4915.500511%15.500511%15.5%60715.500511%15.500511%15.5%60713.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#41

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Northwood, selected other county subdivisions in the Midwest, and entities that contain Northwood
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineWood CountyWoodPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceToledo Metro AreaToledo AreaSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonNorthwoodNorthwood17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.600402%3.600402%3.6%2,8673.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.958688%2.958688%3.0%11,78711.8k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.683241%2.683241%2.7%210,582211k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.434116%0.434116%0.4%170.434116%0.434116%0.4%17
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#42

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 Northwood, selected other county subdivisions in the Midwest, and entities that contain Northwood
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestToledo AreaTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleWoodMinneapolisSterling HtsDowners GrvMiltonMaineNorthwoodNorthwood-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#43

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 Northwood, selected other county subdivisions in the Midwest, and entities that contain Northwood
Female
Male
10x5x0xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOhioOmahaWoodFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaToledo AreaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonNorthwoodNorthwood-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Northwood to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Northwood. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Northwood, selected other county subdivisions in the United States, and entities that contain Northwood
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralOhioSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonToledo Metro AreaToledo AreaNorthwoodNorthwoodAtlantaSeattleNortheast TarrantNE TarrantWood CountyWoodPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k4510.029971%10.029971%10.0%39,95840.0k9.754852%9.754852%9.8%3829.754852%9.754852%9.8%3829.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.919879%5.919879%5.9%4,7145.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Northwood, selected other county subdivisions in the United States, and entities that contain Northwood
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonWood CountyWoodOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiToledo Metro AreaToledo AreaFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoNorthwoodNorthwoodSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.682783%31.682783%31.7%25,22925.2k31.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.829974%25.829974%25.8%102,903103k24.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.500511%15.500511%15.5%60715.500511%15.500511%15.5%60714.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#46

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Northwood, selected other county subdivisions in the United States, and entities that contain Northwood
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyWood CountyWoodTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodToledo Metro AreaToledo AreaMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensOhioNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitNorthwoodNorthwood12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.600402%3.600402%3.6%2,8673.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.958688%2.958688%3.0%11,78711.8k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.683241%2.683241%2.7%210,582211k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693500.434116%0.434116%0.4%170.434116%0.434116%0.4%17
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#47

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 Northwood, selected other county subdivisions in the United States, and entities that contain Northwood
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasMidwestFresnoToledo AreaEast North CentralMilwaukeeUnited StatesOhioNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastWoodSan JoseSan DiegoSan FranciscoEl PasoNorthwoodNorthwood-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%-1.542812x-1.542812x1.54x1.000000x1.000000x11.862%11.9%7.688%7.69%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#48

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 Northwood, selected other county subdivisions in the United States, and entities that contain Northwood
Female
Male
10x5x0xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOhioOrlandoPhoenixWoodTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantToledo AreaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitNorthwoodNorthwood-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.877%0.88%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Ohio
County:
Wood
Metro Area:
Toledo Area
City:
Northwood
ZIP Codes:
43460, 43465, 43605, 43619
Unified School Districts:
Lake, Northwood, Rossford
Congressional District:
OH-5
State Senate District:
OH-2
State House District:
OH-3
Neighboring Townships:
Allen, Lake, Perrysburg
Nearby Townships:
Benton, Clay, Erie, Troy, Washington, Webster