Zip Codes with the Highest Female / Male Ratio in Ohio [ 901 - 1,000 ]

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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
901.4301192.18102.50(-10.3)#901101.64(-9.46)#23,506
902.4514792.11102.50(-10.4)#902101.64(-9.54)#23,549
903.4360892.09102.50(-10.4)#903101.64(-9.55)#23,559
904.4402692.07102.50(-10.4)#904101.64(-9.57)#23,565
905.4468892.07102.50(-10.4)#905101.64(-9.57)#23,566
906.4351192.07102.50(-10.4)#906101.64(-9.57)#23,567
907.4400392.06102.50(-10.4)#907101.64(-9.58)#23,572
908.4375592.01102.50(-10.5)#908101.64(-9.64)#23,615
909.4425391.98102.50(-10.5)#909101.64(-9.67)#23,634
910.4562391.84102.50(-10.7)#910101.64(-9.80)#23,726
911.4333191.82102.50(-10.7)#911101.64(-9.82)#23,736
912.4515491.80102.50(-10.7)#912101.64(-9.84)#23,752
913.4432191.72102.50(-10.8)#913101.64(-9.92)#23,800
914.4565191.68102.50(-10.8)#914101.64(-9.96)#23,820
915.4572191.67102.50(-10.8)#915101.64(-9.98)#23,842
916.4581491.63102.50(-10.9)#916101.64(-10.0)#23,853
917.4462891.57102.50(-10.9)#917101.64(-10.1)#23,882
918.4425191.54102.50(-11.0)#918101.64(-10.1)#23,903
919.4584691.51102.50(-11.0)#919101.64(-10.1)#23,921
920.4543091.51102.50(-11.0)#920101.64(-10.1)#23,924
921.4464591.46102.50(-11.0)#921101.64(-10.2)#23,952
922.4485991.46102.50(-11.0)#922101.64(-10.2)#23,953
923.4341091.44102.50(-11.1)#923101.64(-10.2)#23,966
924.4589991.43102.50(-11.1)#924101.64(-10.2)#23,973
925.4444591.43102.50(-11.1)#925101.64(-10.2)#23,975
926.4397491.30102.50(-11.2)#926101.64(-10.3)#24,054
927.4344591.25102.50(-11.3)#927101.64(-10.4)#24,091
928.4536391.21102.50(-11.3)#928101.64(-10.4)#24,117
929.4535690.99102.50(-11.5)#929101.64(-10.7)#24,226
930.4584190.93102.50(-11.6)#930101.64(-10.7)#24,262
931.4572390.90102.50(-11.6)#931101.64(-10.7)#24,289
932.4360990.86102.50(-11.6)#932101.64(-10.8)#24,303
933.4304690.78102.50(-11.7)#933101.64(-10.9)#24,353
934.4344090.74102.50(-11.8)#934101.64(-10.9)#24,376
935.4444290.72102.50(-11.8)#935101.64(-10.9)#24,388
936.4351890.65102.50(-11.8)#936101.64(-11.0)#24,426
937.4398590.60102.50(-11.9)#937101.64(-11.0)#24,469
938.4534890.56102.50(-11.9)#938101.64(-11.1)#24,495
939.4538290.49102.50(-12.0)#939101.64(-11.1)#24,532
940.4394490.40102.50(-12.1)#940101.64(-11.2)#24,590
941.4466790.32102.50(-12.2)#941101.64(-11.3)#24,628
942.4515690.32102.50(-12.2)#942101.64(-11.3)#24,633
943.4332390.27102.50(-12.2)#943101.64(-11.4)#24,663
944.4584490.22102.50(-12.3)#944101.64(-11.4)#24,692
945.4510790.18102.50(-12.3)#945101.64(-11.5)#24,709
946.4445190.15102.50(-12.3)#946101.64(-11.5)#24,725
947.4466590.09102.50(-12.4)#947101.64(-11.6)#24,756
948.4391590.02102.50(-12.5)#948101.64(-11.6)#24,792
949.4445090.00102.50(-12.5)#949101.64(-11.6)#24,804
950.4470489.97102.50(-12.5)#950101.64(-11.7)#24,838
951.4462189.92102.50(-12.6)#951101.64(-11.7)#24,862
952.4426089.91102.50(-12.6)#952101.64(-11.7)#24,873
953.4506889.82102.50(-12.7)#953101.64(-11.8)#24,915
954.4512089.81102.50(-12.7)#954101.64(-11.8)#24,918
955.4536989.78102.50(-12.7)#955101.64(-11.9)#24,937
956.4450489.75102.50(-12.7)#956101.64(-11.9)#24,952
957.4346789.66102.50(-12.8)#957101.64(-12.0)#25,010
958.4485389.61102.50(-12.9)#958101.64(-12.0)#25,037
959.4466389.36102.50(-13.1)#959101.64(-12.3)#25,155
960.4303089.32102.50(-13.2)#960101.64(-12.3)#25,182
961.4485189.26102.50(-13.2)#961101.64(-12.4)#25,209
962.4461589.25102.50(-13.2)#962101.64(-12.4)#25,214
963.4441189.20102.50(-13.3)#963101.64(-12.4)#25,246
964.4300689.16102.50(-13.3)#964101.64(-12.5)#25,272
965.4582089.15102.50(-13.3)#965101.64(-12.5)#25,276
966.4334589.11102.50(-13.4)#966101.64(-12.5)#25,296
967.4530789.09102.50(-13.4)#967101.64(-12.6)#25,306
968.4307189.08102.50(-13.4)#968101.64(-12.6)#25,310
969.4443888.97102.50(-13.5)#969101.64(-12.7)#25,377
970.4306688.89102.50(-13.6)#970101.64(-12.8)#25,412
971.4352088.89102.50(-13.6)#971101.64(-12.8)#25,428
972.4391488.89102.50(-13.6)#972101.64(-12.8)#25,429
973.4568688.88102.50(-13.6)#973101.64(-12.8)#25,432
974.4340888.83102.50(-13.7)#974101.64(-12.8)#25,455
975.4340788.77102.50(-13.7)#975101.64(-12.9)#25,483
976.4520288.64102.50(-13.9)#976101.64(-13.0)#25,562
977.4567288.60102.50(-13.9)#977101.64(-13.0)#25,577
978.4465688.58102.50(-13.9)#978101.64(-13.1)#25,587
979.4443688.51102.50(-14.0)#979101.64(-13.1)#25,611
980.4533288.46102.50(-14.0)#980101.64(-13.2)#25,628
981.4560188.40102.50(-14.1)#981101.64(-13.2)#25,660
982.4320288.36102.50(-14.1)#982101.64(-13.3)#25,676
983.4540488.32102.50(-14.2)#983101.64(-13.3)#25,694
984.4401088.15102.50(-14.3)#984101.64(-13.5)#25,765
985.4588788.04102.50(-14.5)#985101.64(-13.6)#25,814
986.4536287.88102.50(-14.6)#986101.64(-13.8)#25,892
987.4516787.81102.50(-14.7)#987101.64(-13.8)#25,940
988.4320187.79102.50(-14.7)#988101.64(-13.9)#25,950
989.4574187.76102.50(-14.7)#989101.64(-13.9)#25,965
990.4428587.76102.50(-14.7)#990101.64(-13.9)#25,967
991.4378287.70102.50(-14.8)#991101.64(-13.9)#25,987
992.4515387.46102.50(-15.0)#992101.64(-14.2)#26,106
993.4569687.46102.50(-15.0)#993101.64(-14.2)#26,107
994.4450787.44102.50(-15.1)#994101.64(-14.2)#26,120
995.4530887.35102.50(-15.2)#995101.64(-14.3)#26,158
996.4588987.34102.50(-15.2)#996101.64(-14.3)#26,165
997.4577087.28102.50(-15.2)#997101.64(-14.4)#26,194
998.4376687.25102.50(-15.2)#998101.64(-14.4)#26,203
999.4332087.16102.50(-15.3)#999101.64(-14.5)#26,260
1,000.4577587.05102.50(-15.4)#1,000101.64(-14.6)#26,310