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

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Male / Female Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCrowCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCrowCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaBahamasBangladeshBarbadosBelarusBelgiumBelizeBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaBahamasBangladeshBarbadosBelarusBelgiumBelizeBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
Columbus
Compare Zip Codes
Comparison Subject

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

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Zip Codes with the Highest Male / Female Ratio in Columbus Map

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

Zip Code Males / 100 Females vs State vs National
1.43240121.9197.56(+24.3)#14698.38(+23.5)#4,696
2.43220116.2697.56(+18.7)#20198.38(+17.9)#6,194
3.43201113.9197.56(+16.3)#22498.38(+15.5)#6,985
4.43202113.1797.56(+15.6)#23098.38(+14.8)#7,259
5.43223106.0597.56(+8.49)#37398.38(+7.67)#11,006
6.43214102.2997.56(+4.72)#48298.38(+3.90)#14,091
7.43205101.3197.56(+3.75)#51798.38(+2.93)#15,019
8.43232100.9797.56(+3.41)#52798.38(+2.59)#15,337
9.43215100.9297.56(+3.35)#52998.38(+2.53)#15,401
10.4322499.0097.56(+1.43)#61198.38(+0.612)#17,452
11.4320496.9597.56(-0.617)#69298.38(-1.44)#19,692
12.4322896.6197.56(-0.954)#70598.38(-1.77)#20,010
13.4322996.1497.56(-1.42)#72798.38(-2.25)#20,503
14.4321295.9097.56(-1.66)#73498.38(-2.48)#20,734
15.4323595.6997.56(-1.88)#74498.38(-2.70)#20,954
16.4320795.4097.56(-2.17)#75698.38(-2.99)#21,248
17.4321395.2797.56(-2.30)#76198.38(-3.12)#21,390
18.4322792.5397.56(-5.03)#87098.38(-5.85)#24,106
19.4308592.5097.56(-5.07)#87298.38(-5.89)#24,140
20.4322192.1297.56(-5.44)#88298.38(-6.26)#24,463
21.4320991.3297.56(-6.25)#91198.38(-7.07)#25,130
22.4323091.0897.56(-6.48)#92198.38(-7.30)#25,324
23.4321789.8197.56(-7.75)#97098.38(-8.57)#26,246
24.4320689.7597.56(-7.82)#97198.38(-8.64)#26,286
25.4320389.6597.56(-7.91)#97398.38(-8.73)#26,329
26.4321187.5997.56(-9.97)#1,01898.38(-10.8)#27,545
27.4321986.9897.56(-10.6)#1,03298.38(-11.4)#27,852
28.4322286.7397.56(-10.8)#1,03998.38(-11.7)#27,981
29.4321086.2797.56(-11.3)#1,04798.38(-12.1)#28,199
30.4323183.7397.56(-13.8)#1,08698.38(-14.7)#29,217

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Columbus, OH?
Top 10 Zip Codes with the Highest Male / Female Ratio in Columbus, OH are:
#1
121.91
#2
116.26
#3
113.91
#4
113.17
#5
106.05
#6
102.29
#7
101.31
#8
100.97
#9
100.92
#10
99.00
What zip code has the Highest Male / Female Ratio in Columbus, OH?
43240 has the Highest Male / Female Ratio in Columbus, OH with 121.91.
What is the Male to Female Ratio in Columbus, OH?
Male to Female Ratio in Columbus is 96.73.
What is the Male to Female Ratio in Ohio?
Male to Female Ratio in Ohio is 97.56.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.