Zip Codes 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 Zip Codes
Comparison Subject

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

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8,000.00
Zip Codes with the Highest Female / Male Ratio in Ohio Map

Zip Codes with the Highest Female / Male Ratio in Ohio

Zip Code Females / 100 Males vs State vs National
1. 44101 7,162.50 102.50 (+7.06k)#1 101.64 (+7.06k)#2
2. 43005 595.31 102.50 (+493)#2 101.64 (+494)#47
3. 45353 403.33 102.50 (+301)#3 101.64 (+302)#69
4. 43805 383.78 102.50 (+281)#4 101.64 (+282)#79
5. 44809 341.67 102.50 (+239)#5 101.64 (+240)#108
6. 43902 306.90 102.50 (+204)#6 101.64 (+205)#134
7. 45897 266.67 102.50 (+164)#7 101.64 (+165)#181
8. 44828 264.71 102.50 (+162)#8 101.64 (+163)#186
9. 45051 262.62 102.50 (+160)#9 101.64 (+161)#194
10. 44243 205.38 102.50 (+103)#10 101.64 (+104)#371
11. 43768 200.64 102.50 (+98.1)#11 101.64 (+99.0)#396
12. 44607 193.94 102.50 (+91.4)#12 101.64 (+92.3)#443
13. 45160 193.36 102.50 (+90.9)#13 101.64 (+91.7)#448
14. 45033 190.91 102.50 (+88.4)#14 101.64 (+89.3)#466
15. 45469 190.14 102.50 (+87.6)#15 101.64 (+88.5)#477
16. 45884 182.54 102.50 (+80.0)#16 101.64 (+80.9)#541
17. 45776 182.28 102.50 (+79.8)#17 101.64 (+80.6)#543
18. 43333 181.53 102.50 (+79.0)#18 101.64 (+79.9)#549
19. 44850 181.32 102.50 (+78.8)#19 101.64 (+79.7)#551
20. 43541 180.60 102.50 (+78.1)#20 101.64 (+79.0)#562
21. 44555 176.56 102.50 (+74.1)#22 101.64 (+74.9)#592
22. 43414 176.56 102.50 (+74.1)#23 101.64 (+74.9)#593
23. 43962 173.33 102.50 (+70.8)#24 101.64 (+71.7)#633
24. 45711 171.59 102.50 (+69.1)#25 101.64 (+70.0)#656
25. 45673 169.43 102.50 (+66.9)#26 101.64 (+67.8)#681
26. 43983 167.00 102.50 (+64.5)#27 101.64 (+65.4)#713
27. 43070 165.00 102.50 (+62.5)#28 101.64 (+63.4)#751
28. 43925 160.61 102.50 (+58.1)#29 101.64 (+59.0)#827
29. 44838 160.00 102.50 (+57.5)#30 101.64 (+58.4)#837
30. 45783 157.14 102.50 (+54.6)#31 101.64 (+55.5)#896
31. 43127 155.14 102.50 (+52.6)#32 101.64 (+53.5)#937
32. 45645 153.91 102.50 (+51.4)#33 101.64 (+52.3)#966
33. 45746 152.03 102.50 (+49.5)#34 101.64 (+50.4)#1,012
34. 43931 151.52 102.50 (+49.0)#35 101.64 (+49.9)#1,027
35. 43027 150.00 102.50 (+47.5)#36 101.64 (+48.4)#1,077
36. 45898 148.88 102.50 (+46.4)#37 101.64 (+47.2)#1,112
37. 43350 148.65 102.50 (+46.2)#38 101.64 (+47.0)#1,118
38. 45055 148.61 102.50 (+46.1)#39 101.64 (+47.0)#1,119
39. 43346 148.15 102.50 (+45.7)#40 101.64 (+46.5)#1,138
40. 43840 147.83 102.50 (+45.3)#41 101.64 (+46.2)#1,146
41. 44693 147.06 102.50 (+44.6)#42 101.64 (+45.4)#1,176
42. 43531 146.15 102.50 (+43.7)#43 101.64 (+44.5)#1,206
43. 43325 142.42 102.50 (+39.9)#44 101.64 (+40.8)#1,341
44. 44439 142.13 102.50 (+39.6)#45 101.64 (+40.5)#1,354
45. 43317 141.89 102.50 (+39.4)#46 101.64 (+40.2)#1,364
46. 45352 140.70 102.50 (+38.2)#47 101.64 (+39.1)#1,417
47. 43403 140.27 102.50 (+37.8)#48 101.64 (+38.6)#1,436
48. 44697 139.64 102.50 (+37.1)#49 101.64 (+38.0)#1,474
49. 45384 138.73 102.50 (+36.2)#50 101.64 (+37.1)#1,508
50. 44132 138.72 102.50 (+36.2)#51 101.64 (+37.1)#1,511
51. 44611 137.65 102.50 (+35.2)#52 101.64 (+36.0)#1,556
52. 45225 137.43 102.50 (+34.9)#53 101.64 (+35.8)#1,570
53. 43981 136.36 102.50 (+33.9)#54 101.64 (+34.7)#1,633
54. 45232 135.74 102.50 (+33.2)#55 101.64 (+34.1)#1,665
55. 43154 135.59 102.50 (+33.1)#56 101.64 (+33.9)#1,676
56. 44250 135.58 102.50 (+33.1)#57 101.64 (+33.9)#1,678
57. 44452 135.15 102.50 (+32.6)#58 101.64 (+33.5)#1,702
58. 45688 133.80 102.50 (+31.3)#59 101.64 (+32.2)#1,783
59. 44455 133.55 102.50 (+31.0)#60 101.64 (+31.9)#1,799
60. 45816 133.33 102.50 (+30.8)#61 101.64 (+31.7)#1,823
61. 43721 133.12 102.50 (+30.6)#62 101.64 (+31.5)#1,847
62. 44814 133.06 102.50 (+30.6)#63 101.64 (+31.4)#1,854
63. 44887 132.37 102.50 (+29.9)#64 101.64 (+30.7)#1,893
64. 45203 132.37 102.50 (+29.9)#65 101.64 (+30.7)#1,894
65. 45426 131.89 102.50 (+29.4)#66 101.64 (+30.2)#1,940
66. 43443 131.51 102.50 (+29.0)#67 101.64 (+29.9)#1,969
67. 44115 130.96 102.50 (+28.5)#68 101.64 (+29.3)#2,013
68. 43008 130.73 102.50 (+28.2)#69 101.64 (+29.1)#2,035
69. 44510 130.61 102.50 (+28.1)#70 101.64 (+29.0)#2,045
70. 44080 130.23 102.50 (+27.7)#71 101.64 (+28.6)#2,088
71. 43529 130.00 102.50 (+27.5)#72 101.64 (+28.4)#2,103
72. 45849 129.87 102.50 (+27.4)#73 101.64 (+28.2)#2,116
73. 45698 129.67 102.50 (+27.2)#74 101.64 (+28.0)#2,137
74. 45740 129.66 102.50 (+27.2)#75 101.64 (+28.0)#2,138
75. 45864 129.41 102.50 (+26.9)#76 101.64 (+27.8)#2,161
76. 43610 129.01 102.50 (+26.5)#77 101.64 (+27.4)#2,191
77. 44117 129.00 102.50 (+26.5)#78 101.64 (+27.4)#2,192
78. 45679 128.69 102.50 (+26.2)#79 101.64 (+27.0)#2,229
79. 43731 128.53 102.50 (+26.0)#80 101.64 (+26.9)#2,259
80. 43152 128.42 102.50 (+25.9)#81 101.64 (+26.8)#2,270
81. 45780 127.65 102.50 (+25.2)#82 101.64 (+26.0)#2,358
82. 44108 127.42 102.50 (+24.9)#83 101.64 (+25.8)#2,379
83. 45317 127.09 102.50 (+24.6)#84 101.64 (+25.5)#2,422
84. 43617 127.06 102.50 (+24.6)#85 101.64 (+25.4)#2,427
85. 45003 126.09 102.50 (+23.6)#86 101.64 (+24.4)#2,533
86. 45416 125.67 102.50 (+23.2)#87 101.64 (+24.0)#2,589
87. 43137 125.57 102.50 (+23.1)#88 101.64 (+23.9)#2,601
88. 45361 125.44 102.50 (+22.9)#89 101.64 (+23.8)#2,619
89. 44128 125.07 102.50 (+22.6)#90 101.64 (+23.4)#2,666
90. 44143 124.96 102.50 (+22.5)#91 101.64 (+23.3)#2,692
91. 43746 124.78 102.50 (+22.3)#92 101.64 (+23.1)#2,709
92. 43843 124.30 102.50 (+21.8)#93 101.64 (+22.7)#2,779
93. 45417 124.23 102.50 (+21.7)#94 101.64 (+22.6)#2,789
94. 43542 123.83 102.50 (+21.3)#95 101.64 (+22.2)#2,848
95. 44106 123.73 102.50 (+21.2)#96 101.64 (+22.1)#2,866
96. 43740 123.53 102.50 (+21.0)#97 101.64 (+21.9)#2,889
97. 45620 123.08 102.50 (+20.6)#98 101.64 (+21.4)#2,962
98. 45646 123.06 102.50 (+20.6)#99 101.64 (+21.4)#2,971
99. 45636 123.00 102.50 (+20.5)#100 101.64 (+21.4)#2,979
100. 44867 122.78 102.50 (+20.3)#101 101.64 (+21.1)#3,011

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Ohio?
Top 10 Zip Codes with the Highest Female / Male Ratio in Ohio are:
#1
7,162.50
#2
595.31
#3
403.33
#4
383.78
#5
341.67
#6
306.90
#7
266.67
#8
264.71
#9
262.62
#10
205.38
What zip code has the Highest Female / Male Ratio in Ohio?
44101 has the Highest Female / Male Ratio in Ohio with 7,162.50.
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.