Zip Codes with the Highest Female / Male Ratio in Ohio [ 101 - 200 ]

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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

Zip Codes with the Highest Female / Male Ratio in Ohio

Zip Code Females / 100 Males vs State vs National
101.43771122.72102.50(+20.2)#101101.64(+21.1)#3,027
102.44137122.50102.50(+20.0)#102101.64(+20.9)#3,063
103.45819122.41102.50(+19.9)#103101.64(+20.8)#3,085
104.45826122.06102.50(+19.6)#104101.64(+20.4)#3,158
105.44110121.89102.50(+19.4)#105101.64(+20.2)#3,192
106.44652121.60102.50(+19.1)#106101.64(+20.0)#3,250
107.43615121.31102.50(+18.8)#107101.64(+19.7)#3,310
108.44874121.26102.50(+18.8)#108101.64(+19.6)#3,322
109.45435121.25102.50(+18.8)#109101.64(+19.6)#3,323
110.45772121.21102.50(+18.7)#110101.64(+19.6)#3,331
111.44112121.13102.50(+18.6)#111101.64(+19.5)#3,349
112.44122121.12102.50(+18.6)#112101.64(+19.5)#3,353
113.43948120.71102.50(+18.2)#113101.64(+19.1)#3,435
114.44301120.70102.50(+18.2)#114101.64(+19.1)#3,441
115.44320120.59102.50(+18.1)#115101.64(+18.9)#3,470
116.43153120.40102.50(+17.9)#116101.64(+18.8)#3,507
117.43750120.31102.50(+17.8)#117101.64(+18.7)#3,524
118.43620120.16102.50(+17.7)#118101.64(+18.5)#3,557
119.45729120.13102.50(+17.6)#119101.64(+18.5)#3,562
120.45383120.01102.50(+17.5)#120101.64(+18.4)#3,577
121.45350120.00102.50(+17.5)#121101.64(+18.4)#3,588
122.45808119.69102.50(+17.2)#122101.64(+18.0)#3,656
123.43565119.65102.50(+17.2)#123101.64(+18.0)#3,665
124.45650119.58102.50(+17.1)#124101.64(+17.9)#3,683
125.44643119.50102.50(+17.0)#125101.64(+17.9)#3,700
126.43231119.43102.50(+16.9)#126101.64(+17.8)#3,718
127.43930119.30102.50(+16.8)#127101.64(+17.7)#3,742
128.43940119.21102.50(+16.7)#128101.64(+17.6)#3,767
129.44707119.13102.50(+16.6)#129101.64(+17.5)#3,785
130.43521119.02102.50(+16.5)#130101.64(+17.4)#3,814
131.45692118.93102.50(+16.4)#131101.64(+17.3)#3,828
132.45227118.87102.50(+16.4)#132101.64(+17.2)#3,846
133.45132118.87102.50(+16.4)#133101.64(+17.2)#3,848
134.43968118.79102.50(+16.3)#134101.64(+17.1)#3,865
135.45111118.67102.50(+16.2)#135101.64(+17.0)#3,898
136.43430118.39102.50(+15.9)#136101.64(+16.7)#3,980
137.44695118.31102.50(+15.8)#137101.64(+16.7)#4,003
138.45735118.26102.50(+15.8)#138101.64(+16.6)#4,017
139.45744118.16102.50(+15.7)#139101.64(+16.5)#4,050
140.45881118.06102.50(+15.6)#140101.64(+16.4)#4,072
141.43040117.95102.50(+15.4)#141101.64(+16.3)#4,104
142.43337117.85102.50(+15.3)#142101.64(+16.2)#4,128
143.44313117.79102.50(+15.3)#143101.64(+16.2)#4,142
144.44875117.12102.50(+14.6)#144101.64(+15.5)#4,336
145.44065117.10102.50(+14.6)#145101.64(+15.5)#4,341
146.44082117.10102.50(+14.6)#146101.64(+15.5)#4,342
147.45336117.07102.50(+14.6)#147101.64(+15.4)#4,346
148.43155116.97102.50(+14.5)#148101.64(+15.3)#4,371
149.44124116.97102.50(+14.5)#149101.64(+15.3)#4,373
150.45345116.91102.50(+14.4)#150101.64(+15.3)#4,382
151.45630116.90102.50(+14.4)#151101.64(+15.3)#4,390
152.44048116.80102.50(+14.3)#152101.64(+15.2)#4,435
153.44125116.78102.50(+14.3)#153101.64(+15.1)#4,445
154.44314116.75102.50(+14.3)#154101.64(+15.1)#4,453
155.45130116.63102.50(+14.1)#155101.64(+15.0)#4,505
156.45347116.61102.50(+14.1)#156101.64(+15.0)#4,511
157.44714116.56102.50(+14.1)#157101.64(+14.9)#4,527
158.44120116.52102.50(+14.0)#158101.64(+14.9)#4,542
159.44104116.33102.50(+13.8)#159101.64(+14.7)#4,600
160.45245116.26102.50(+13.8)#160101.64(+14.6)#4,619
161.43468116.15102.50(+13.7)#161101.64(+14.5)#4,651
162.44230116.03102.50(+13.5)#162101.64(+14.4)#4,697
163.43802116.03102.50(+13.5)#163101.64(+14.4)#4,699
164.43605115.96102.50(+13.5)#164101.64(+14.3)#4,719
165.43210115.92102.50(+13.4)#165101.64(+14.3)#4,736
166.45621115.72102.50(+13.2)#166101.64(+14.1)#4,801
167.44405115.53102.50(+13.0)#167101.64(+13.9)#4,861
168.45065115.46102.50(+13.0)#168101.64(+13.8)#4,889
169.43080115.43102.50(+12.9)#169101.64(+13.8)#4,906
170.45119115.38102.50(+12.9)#170101.64(+13.7)#4,928
171.44278115.37102.50(+12.9)#171101.64(+13.7)#4,933
172.44506115.31102.50(+12.8)#172101.64(+13.7)#4,950
173.43222115.30102.50(+12.8)#173101.64(+13.7)#4,954
174.43747115.30102.50(+12.8)#174101.64(+13.7)#4,956
175.44241115.28102.50(+12.8)#175101.64(+13.6)#4,960
176.43553115.21102.50(+12.7)#176101.64(+13.6)#4,990
177.44116115.15102.50(+12.7)#177101.64(+13.5)#5,018
178.45656115.09102.50(+12.6)#178101.64(+13.4)#5,034
179.45414114.98102.50(+12.5)#179101.64(+13.3)#5,078
180.43219114.97102.50(+12.5)#180101.64(+13.3)#5,083
181.44056114.96102.50(+12.5)#181101.64(+13.3)#5,085
182.44017114.92102.50(+12.4)#182101.64(+13.3)#5,103
183.45001114.87102.50(+12.4)#183101.64(+13.2)#5,117
184.44485114.72102.50(+12.2)#184101.64(+13.1)#5,171
185.45406114.63102.50(+12.1)#185101.64(+13.0)#5,202
186.44644114.57102.50(+12.1)#186101.64(+12.9)#5,222
187.45831114.47102.50(+12.0)#187101.64(+12.8)#5,258
188.44613114.46102.50(+12.0)#188101.64(+12.8)#5,265
189.44094114.44102.50(+11.9)#189101.64(+12.8)#5,273
190.44730114.30102.50(+11.8)#190101.64(+12.7)#5,334
191.45112114.29102.50(+11.8)#191101.64(+12.6)#5,350
192.44804114.23102.50(+11.7)#192101.64(+12.6)#5,372
193.45341114.20102.50(+11.7)#193101.64(+12.6)#5,381
194.43211114.17102.50(+11.7)#194101.64(+12.5)#5,390
195.45118114.09102.50(+11.6)#195101.64(+12.4)#5,416
196.45879113.98102.50(+11.5)#196101.64(+12.3)#5,466
197.45504113.74102.50(+11.2)#197101.64(+12.1)#5,558
198.44471113.73102.50(+11.2)#198101.64(+12.1)#5,562
199.43136113.65102.50(+11.2)#199101.64(+12.0)#5,584
200.45678113.64102.50(+11.1)#200101.64(+12.0)#5,592