Cities with the Highest Female / Male Ratio in Ohio

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Female / Male Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Ohio
Compare Cities
Comparison Subject

Map of Cities with the Highest Female / Male Ratio in Ohio

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Cities with the Highest Female / Male Ratio in Ohio Map

Cities with the Highest Female / Male Ratio in Ohio

City Females / 100 Males vs State vs National
1.Bladensburg748.39102.50(+646)#1101.64(+647)#29
2.Fresno666.67102.50(+564)#2101.64(+565)#39
3.Rockbridge425.00102.50(+323)#3101.64(+323)#88
4.Birmingham293.33102.50(+191)#4101.64(+192)#230
5.Kansas283.33102.50(+181)#5101.64(+182)#245
6.Flat Rock270.89102.50(+168)#6101.64(+169)#281
7.Iberia250.00102.50(+148)#7101.64(+148)#337
8.Centerville Thurman237.50102.50(+135)#8101.64(+136)#386
9.Dexter City233.33102.50(+131)#9101.64(+132)#403
10.Lewistown232.56102.50(+130)#10101.64(+131)#409
11.Bloomingville229.63102.50(+127)#11101.64(+128)#422
12.Nankin227.88102.50(+125)#12101.64(+126)#431
13.Mcdermott224.54102.50(+122)#13101.64(+123)#452
14.Nettle Lake220.69102.50(+118)#14101.64(+119)#469
15.Put In Bay217.86102.50(+115)#15101.64(+116)#490
16.Oceola216.00102.50(+114)#16101.64(+114)#510
17.Hamburg215.70102.50(+113)#17101.64(+114)#514
18.Lower Salem213.51102.50(+111)#18101.64(+112)#534
19.Hooven204.12102.50(+102)#19101.64(+102)#603
20.Mitiwanga203.66102.50(+101)#20101.64(+102)#608
21.Elizabethtown201.08102.50(+98.6)#21101.64(+99.4)#632
22.Old Washington198.76102.50(+96.3)#22101.64(+97.1)#698
23.Celeryville194.44102.50(+91.9)#23101.64(+92.8)#738
24.Orient184.93102.50(+82.4)#24101.64(+83.3)#856
25.Canal Lewisville182.90102.50(+80.4)#25101.64(+81.3)#883
26.Plumwood180.81102.50(+78.3)#26101.64(+79.2)#916
27.Milton Center180.60102.50(+78.1)#27101.64(+79.0)#919
28.West Rushville178.00102.50(+75.5)#28101.64(+76.4)#960
29.Bourneville173.79102.50(+71.3)#29101.64(+72.2)#1,048
30.Haydenville171.01102.50(+68.5)#30101.64(+69.4)#1,104
31.Harrisburg169.88102.50(+67.4)#31101.64(+68.2)#1,129
32.Richmond Dale169.43102.50(+66.9)#32101.64(+67.8)#1,143
33.Wolfhurst167.63102.50(+65.1)#33101.64(+66.0)#1,183
34.Warsaw167.53102.50(+65.0)#34101.64(+65.9)#1,189
35.Owensville166.22102.50(+63.7)#35101.64(+64.6)#1,224
36.Graysville165.52102.50(+63.0)#36101.64(+63.9)#1,235
37.Parkman165.12102.50(+62.6)#37101.64(+63.5)#1,244
38.West Logan163.85102.50(+61.4)#38101.64(+62.2)#1,282
39.Nellie160.53102.50(+58.0)#39101.64(+58.9)#1,380
40.Cloverdale159.65102.50(+57.2)#40101.64(+58.0)#1,411
41.Pleasant City157.63102.50(+55.1)#41101.64(+56.0)#1,489
42.College Corner156.52102.50(+54.0)#42101.64(+54.9)#1,537
43.Williamsdale155.72102.50(+53.2)#43101.64(+54.1)#1,573
44.Little Hocking153.63102.50(+51.1)#44101.64(+52.0)#1,673
45.Derby152.83102.50(+50.3)#45101.64(+51.2)#1,717
46.Congress152.38102.50(+49.9)#46101.64(+50.7)#1,745
47.Kingston151.15102.50(+48.7)#47101.64(+49.5)#1,818
48.Woodlawn150.62102.50(+48.1)#48101.64(+49.0)#1,840
49.Lawrenceville150.60102.50(+48.1)#49101.64(+49.0)#1,841
50.Madison Place150.48102.50(+48.0)#50101.64(+48.8)#1,846
51.Amesville150.00102.50(+47.5)#51101.64(+48.4)#1,860
52.Otway150.00102.50(+47.5)#52101.64(+48.4)#1,866
53.Cherry Fork150.00102.50(+47.5)#53101.64(+48.4)#1,873
54.Mount Gilead149.96102.50(+47.5)#54101.64(+48.3)#1,893
55.Dupont149.60102.50(+47.1)#55101.64(+48.0)#1,898
56.Hannibal149.30102.50(+46.8)#56101.64(+47.7)#1,912
57.Rossburg147.57102.50(+45.1)#57101.64(+45.9)#2,003
58.Brandt147.13102.50(+44.6)#58101.64(+45.5)#2,025
59.Deersville147.06102.50(+44.6)#59101.64(+45.4)#2,032
60.Pleasant Hills146.94102.50(+44.4)#60101.64(+45.3)#2,037
61.Crystal Lakes146.17102.50(+43.7)#61101.64(+44.5)#2,082
62.Zaleski145.88102.50(+43.4)#62101.64(+44.2)#2,111
63.Fort Seneca145.83102.50(+43.3)#63101.64(+44.2)#2,114
64.Chesterville145.45102.50(+43.0)#64101.64(+43.8)#2,133
65.Fruit Hill143.24102.50(+40.7)#65101.64(+41.6)#2,306
66.Brecon143.04102.50(+40.5)#66101.64(+41.4)#2,314
67.Rome Stout142.86102.50(+40.4)#67101.64(+41.2)#2,335
68.Middlefield142.43102.50(+39.9)#68101.64(+40.8)#2,364
69.Wilberforce141.72102.50(+39.2)#69101.64(+40.1)#2,414
70.East Springfield141.30102.50(+38.8)#70101.64(+39.7)#2,447
71.Warrensville Heights141.20102.50(+38.7)#71101.64(+39.6)#2,459
72.Richmond Heights141.14102.50(+38.6)#72101.64(+39.5)#2,464
73.St Martin141.07102.50(+38.6)#73101.64(+39.4)#2,469
74.Palestine140.70102.50(+38.2)#74101.64(+39.1)#2,506
75.New Haven Cdp Huron County139.63102.50(+37.1)#75101.64(+38.0)#2,593
76.Jeromesville139.55102.50(+37.1)#76101.64(+37.9)#2,599
77.Proctorville139.48102.50(+37.0)#77101.64(+37.8)#2,610
78.Macksburg138.46102.50(+36.0)#78101.64(+36.8)#2,709
79.Valley City138.38102.50(+35.9)#79101.64(+36.7)#2,720
80.East Fultonham138.33102.50(+35.8)#80101.64(+36.7)#2,724
81.Andersonville137.91102.50(+35.4)#81101.64(+36.3)#2,765
82.Kunkle137.23102.50(+34.7)#82101.64(+35.6)#2,844
83.Luckey136.88102.50(+34.4)#83101.64(+35.2)#2,878
84.Frankfort136.73102.50(+34.2)#84101.64(+35.1)#2,893
85.Bainbridge136.54102.50(+34.0)#85101.64(+34.9)#2,921
86.Sparta136.49102.50(+34.0)#86101.64(+34.8)#2,928
87.Sherwood136.34102.50(+33.8)#87101.64(+34.7)#2,948
88.Woodmere135.52102.50(+33.0)#88101.64(+33.9)#3,035
89.Petersburg135.42102.50(+32.9)#89101.64(+33.8)#3,045
90.Jacksonville135.37102.50(+32.9)#90101.64(+33.7)#3,048
91.Gloria Glens Park135.23102.50(+32.7)#91101.64(+33.6)#3,073
92.Hayesville134.90102.50(+32.4)#92101.64(+33.3)#3,104
93.Cadiz134.84102.50(+32.3)#93101.64(+33.2)#3,107
94.Plainville134.62102.50(+32.1)#94101.64(+33.0)#3,132
95.Trotwood134.60102.50(+32.1)#95101.64(+33.0)#3,135
96.Withamsville134.32102.50(+31.8)#96101.64(+32.7)#3,153
97.Bedford Heights134.31102.50(+31.8)#97101.64(+32.7)#3,154
98.Coalton134.30102.50(+31.8)#98101.64(+32.7)#3,156
99.New Bloomington134.19102.50(+31.7)#99101.64(+32.6)#3,169
100.Tuppers Plains133.33102.50(+30.8)#100101.64(+31.7)#3,272

Common Questions

What are the Top 10 Cities with the Highest Female / Male Ratio in Ohio?
Top 10 Cities with the Highest Female / Male Ratio in Ohio are:
#1
748.39
#2
666.67
#3
425.00
#4
283.33
#5
270.89
#6
250.00
#7
237.50
#8
233.33
#9
232.56
#10
224.54
What city has the Highest Female / Male Ratio in Ohio?
Bladensburg has the Highest Female / Male Ratio in Ohio with 748.39.
What is the Famale to Male Ratio in the State of Ohio?
Famale to Male Ratio in Ohio is 102.50.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.