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
1.441017,162.50102.50(+7.06k)#1101.64(+7.06k)#2
2.43005595.31102.50(+493)#2101.64(+494)#47
3.45353403.33102.50(+301)#3101.64(+302)#69
4.43805383.78102.50(+281)#4101.64(+282)#79
5.44809341.67102.50(+239)#5101.64(+240)#108
6.43902306.90102.50(+204)#6101.64(+205)#134
7.45897266.67102.50(+164)#7101.64(+165)#181
8.44828264.71102.50(+162)#8101.64(+163)#186
9.45051262.62102.50(+160)#9101.64(+161)#194
10.44243205.38102.50(+103)#10101.64(+104)#371
11.43768200.64102.50(+98.1)#11101.64(+99.0)#396
12.44607193.94102.50(+91.4)#12101.64(+92.3)#443
13.45160193.36102.50(+90.9)#13101.64(+91.7)#448
14.45033190.91102.50(+88.4)#14101.64(+89.3)#466
15.45469190.14102.50(+87.6)#15101.64(+88.5)#477
16.45884182.54102.50(+80.0)#16101.64(+80.9)#541
17.45776182.28102.50(+79.8)#17101.64(+80.6)#543
18.43333181.53102.50(+79.0)#18101.64(+79.9)#549
19.44850181.32102.50(+78.8)#19101.64(+79.7)#551
20.43541180.60102.50(+78.1)#20101.64(+79.0)#562
21.43414176.56102.50(+74.1)#21101.64(+74.9)#591
22.44555176.56102.50(+74.1)#22101.64(+74.9)#592
23.43962173.33102.50(+70.8)#23101.64(+71.7)#633
24.45711171.59102.50(+69.1)#24101.64(+70.0)#656
25.45673169.43102.50(+66.9)#25101.64(+67.8)#681
26.43983167.00102.50(+64.5)#26101.64(+65.4)#713
27.43070165.00102.50(+62.5)#27101.64(+63.4)#751
28.43925160.61102.50(+58.1)#28101.64(+59.0)#827
29.44838160.00102.50(+57.5)#29101.64(+58.4)#837
30.45783157.14102.50(+54.6)#30101.64(+55.5)#896
31.43127155.14102.50(+52.6)#31101.64(+53.5)#937
32.45645153.91102.50(+51.4)#32101.64(+52.3)#966
33.45746152.03102.50(+49.5)#33101.64(+50.4)#1,012
34.43931151.52102.50(+49.0)#34101.64(+49.9)#1,027
35.43027150.00102.50(+47.5)#35101.64(+48.4)#1,077
36.45898148.88102.50(+46.4)#36101.64(+47.2)#1,112
37.43350148.65102.50(+46.2)#37101.64(+47.0)#1,118
38.45055148.61102.50(+46.1)#38101.64(+47.0)#1,119
39.43346148.15102.50(+45.7)#39101.64(+46.5)#1,138
40.43840147.83102.50(+45.3)#40101.64(+46.2)#1,146
41.44693147.06102.50(+44.6)#41101.64(+45.4)#1,176
42.43531146.15102.50(+43.7)#42101.64(+44.5)#1,206
43.43325142.42102.50(+39.9)#43101.64(+40.8)#1,341
44.44439142.13102.50(+39.6)#44101.64(+40.5)#1,354
45.43317141.89102.50(+39.4)#45101.64(+40.2)#1,364
46.45352140.70102.50(+38.2)#46101.64(+39.1)#1,417
47.43403140.27102.50(+37.8)#47101.64(+38.6)#1,436
48.44697139.64102.50(+37.1)#48101.64(+38.0)#1,474
49.45384138.73102.50(+36.2)#49101.64(+37.1)#1,508
50.44132138.72102.50(+36.2)#50101.64(+37.1)#1,511
51.44611137.65102.50(+35.2)#51101.64(+36.0)#1,556
52.45225137.43102.50(+34.9)#52101.64(+35.8)#1,570
53.43981136.36102.50(+33.9)#53101.64(+34.7)#1,633
54.45232135.74102.50(+33.2)#54101.64(+34.1)#1,665
55.43154135.59102.50(+33.1)#55101.64(+33.9)#1,676
56.44250135.58102.50(+33.1)#56101.64(+33.9)#1,678
57.44452135.15102.50(+32.6)#57101.64(+33.5)#1,702
58.45688133.80102.50(+31.3)#58101.64(+32.2)#1,783
59.44455133.55102.50(+31.0)#59101.64(+31.9)#1,799
60.45816133.33102.50(+30.8)#60101.64(+31.7)#1,823
61.43721133.12102.50(+30.6)#61101.64(+31.5)#1,847
62.44814133.06102.50(+30.6)#62101.64(+31.4)#1,854
63.44887132.37102.50(+29.9)#63101.64(+30.7)#1,893
64.45203132.37102.50(+29.9)#64101.64(+30.7)#1,894
65.45426131.89102.50(+29.4)#65101.64(+30.2)#1,940
66.43443131.51102.50(+29.0)#66101.64(+29.9)#1,969
67.44115130.96102.50(+28.5)#67101.64(+29.3)#2,013
68.43008130.73102.50(+28.2)#68101.64(+29.1)#2,035
69.44510130.61102.50(+28.1)#69101.64(+29.0)#2,045
70.44080130.23102.50(+27.7)#70101.64(+28.6)#2,088
71.43529130.00102.50(+27.5)#71101.64(+28.4)#2,103
72.45849129.87102.50(+27.4)#72101.64(+28.2)#2,116
73.45698129.67102.50(+27.2)#73101.64(+28.0)#2,137
74.45740129.66102.50(+27.2)#74101.64(+28.0)#2,138
75.45864129.41102.50(+26.9)#75101.64(+27.8)#2,161
76.43610129.01102.50(+26.5)#76101.64(+27.4)#2,191
77.44117129.00102.50(+26.5)#77101.64(+27.4)#2,192
78.45679128.69102.50(+26.2)#78101.64(+27.0)#2,229
79.43731128.53102.50(+26.0)#79101.64(+26.9)#2,259
80.43152128.42102.50(+25.9)#80101.64(+26.8)#2,270
81.45780127.65102.50(+25.2)#81101.64(+26.0)#2,358
82.44108127.42102.50(+24.9)#82101.64(+25.8)#2,379
83.45317127.09102.50(+24.6)#83101.64(+25.5)#2,422
84.43617127.06102.50(+24.6)#84101.64(+25.4)#2,427
85.45003126.09102.50(+23.6)#85101.64(+24.4)#2,533
86.45416125.67102.50(+23.2)#86101.64(+24.0)#2,589
87.43137125.57102.50(+23.1)#87101.64(+23.9)#2,601
88.45361125.44102.50(+22.9)#88101.64(+23.8)#2,619
89.44128125.07102.50(+22.6)#89101.64(+23.4)#2,666
90.44143124.96102.50(+22.5)#90101.64(+23.3)#2,692
91.43746124.78102.50(+22.3)#91101.64(+23.1)#2,709
92.43843124.30102.50(+21.8)#92101.64(+22.7)#2,779
93.45417124.23102.50(+21.7)#93101.64(+22.6)#2,789
94.43542123.83102.50(+21.3)#94101.64(+22.2)#2,848
95.44106123.73102.50(+21.2)#95101.64(+22.1)#2,866
96.43740123.53102.50(+21.0)#96101.64(+21.9)#2,889
97.45620123.08102.50(+20.6)#97101.64(+21.4)#2,962
98.45646123.06102.50(+20.6)#98101.64(+21.4)#2,971
99.45636123.00102.50(+20.5)#99101.64(+21.4)#2,979
100.44867122.78102.50(+20.3)#100101.64(+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.