Zip Codes with the Highest Female / Male Ratio in Cincinnati, OH

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Female / Male Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBarbadianBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianLuxembourgerMacedonianMalaysianMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBarbadianBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianLuxembourgerMacedonianMalaysianMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZimbabwe
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
Cincinnati
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Female / Male Ratio in Cincinnati

33.33
137.43
Zip Codes with the Highest Female / Male Ratio in Cincinnati Map

Zip Codes with the Highest Female / Male Ratio in Cincinnati, OH

Zip Code Females / 100 Males vs State vs National
1. 45225 137.43 102.50 (+34.9)#52 101.64 (+35.8)#1,570
2. 45232 135.74 102.50 (+33.2)#54 101.64 (+34.1)#1,665
3. 45203 132.37 102.50 (+29.9)#64 101.64 (+30.7)#1,894
4. 45227 118.87 102.50 (+16.4)#132 101.64 (+17.2)#3,846
5. 45245 116.26 102.50 (+13.8)#160 101.64 (+14.6)#4,619
6. 45233 113.03 102.50 (+10.5)#212 101.64 (+11.4)#5,859
7. 45224 112.55 102.50 (+10.1)#222 101.64 (+10.9)#6,091
8. 45230 112.28 102.50 (+9.78)#228 101.64 (+10.6)#6,242
9. 45215 111.17 102.50 (+8.67)#246 101.64 (+9.53)#6,780
10. 45231 111.08 102.50 (+8.58)#247 101.64 (+9.43)#6,842
11. 45239 110.97 102.50 (+8.47)#249 101.64 (+9.33)#6,895
12. 45229 110.17 102.50 (+7.67)#268 101.64 (+8.53)#7,365
13. 45213 109.91 102.50 (+7.41)#284 101.64 (+8.27)#7,534
14. 45237 109.86 102.50 (+7.36)#287 101.64 (+8.22)#7,561
15. 45242 109.43 102.50 (+6.93)#306 101.64 (+7.79)#7,849
16. 45226 108.99 102.50 (+6.49)#316 101.64 (+7.35)#8,168
17. 45247 107.66 102.50 (+5.16)#353 101.64 (+6.02)#9,151
18. 45252 107.66 102.50 (+5.16)#354 101.64 (+6.02)#9,153
19. 45208 106.90 102.50 (+4.40)#382 101.64 (+5.25)#9,793
20. 45240 106.87 102.50 (+4.38)#383 101.64 (+5.23)#9,815
21. 45216 106.78 102.50 (+4.29)#387 101.64 (+5.14)#9,883
22. 45206 106.63 102.50 (+4.13)#395 101.64 (+4.99)#10,021
23. 45248 106.57 102.50 (+4.07)#400 101.64 (+4.93)#10,077
24. 45249 106.11 102.50 (+3.61)#417 101.64 (+4.46)#10,498
25. 45205 105.81 102.50 (+3.31)#425 101.64 (+4.17)#10,771
26. 45209 104.72 102.50 (+2.22)#460 101.64 (+3.08)#11,778
27. 45238 104.33 102.50 (+1.84)#473 101.64 (+2.69)#12,141
28. 45251 104.01 102.50 (+1.52)#486 101.64 (+2.37)#12,433
29. 45246 102.35 102.50 (-0.143)#548 101.64 (+0.712)#14,075
30. 45255 102.24 102.50 (-0.255)#553 101.64 (+0.599)#14,182
31. 45207 102.17 102.50 (-0.327)#558 101.64 (+0.528)#14,255
32. 45211 100.16 102.50 (-2.34)#638 101.64 (-1.49)#16,378
33. 45241 99.86 102.50 (-2.64)#654 101.64 (-1.79)#16,765
34. 45243 99.55 102.50 (-2.95)#662 101.64 (-2.09)#17,055
35. 45220 99.47 102.50 (-3.03)#666 101.64 (-2.17)#17,130
36. 45236 99.33 102.50 (-3.16)#674 101.64 (-2.31)#17,276
37. 45244 98.08 102.50 (-4.42)#713 101.64 (-3.56)#18,513
38. 45217 98.05 102.50 (-4.45)#715 101.64 (-3.59)#18,544
39. 45218 97.84 102.50 (-4.66)#726 101.64 (-3.81)#18,770
40. 45214 96.73 102.50 (-5.77)#778 101.64 (-4.91)#19,861
41. 45219 96.35 102.50 (-6.15)#786 101.64 (-5.30)#20,206
42. 45223 95.85 102.50 (-6.65)#794 101.64 (-5.79)#20,638
43. 45212 94.10 102.50 (-8.40)#846 101.64 (-7.55)#22,080
44. 45204 92.56 102.50 (-9.94)#889 101.64 (-9.08)#23,233
45. 45202 88.64 102.50 (-13.9)#976 101.64 (-13.0)#25,562
46. 45267 33.33 102.50 (-69.2)#1,203 101.64 (-68.3)#32,616

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Cincinnati, OH?
Top 10 Zip Codes with the Highest Female / Male Ratio in Cincinnati, OH are:
#1
137.43
#2
135.74
#3
132.37
#4
118.87
#5
116.26
#6
113.03
#7
112.55
#8
112.28
#9
111.17
#10
111.08
What zip code has the Highest Female / Male Ratio in Cincinnati, OH?
45225 has the Highest Female / Male Ratio in Cincinnati, OH with 137.43.
What is the Famale to Male Ratio in Cincinnati, OH?
Famale to Male Ratio in Cincinnati is 107.17.
What is the Famale to Male Ratio in 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.