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

RELATED REPORTS & OPTIONS

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

83.73
121.91
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. 43240 121.91 97.56 (+24.3)#146 98.38 (+23.5)#4,696
2. 43220 116.26 97.56 (+18.7)#201 98.38 (+17.9)#6,194
3. 43201 113.91 97.56 (+16.3)#224 98.38 (+15.5)#6,985
4. 43202 113.17 97.56 (+15.6)#230 98.38 (+14.8)#7,259
5. 43223 106.05 97.56 (+8.49)#373 98.38 (+7.67)#11,006
6. 43214 102.29 97.56 (+4.72)#482 98.38 (+3.90)#14,091
7. 43205 101.31 97.56 (+3.75)#517 98.38 (+2.93)#15,019
8. 43232 100.97 97.56 (+3.41)#527 98.38 (+2.59)#15,337
9. 43215 100.92 97.56 (+3.35)#529 98.38 (+2.53)#15,401
10. 43224 99.00 97.56 (+1.43)#611 98.38 (+0.612)#17,452
11. 43204 96.95 97.56 (-0.617)#692 98.38 (-1.44)#19,692
12. 43228 96.61 97.56 (-0.954)#705 98.38 (-1.77)#20,010
13. 43229 96.14 97.56 (-1.42)#727 98.38 (-2.25)#20,503
14. 43212 95.90 97.56 (-1.66)#734 98.38 (-2.48)#20,734
15. 43235 95.69 97.56 (-1.88)#744 98.38 (-2.70)#20,954
16. 43207 95.40 97.56 (-2.17)#756 98.38 (-2.99)#21,248
17. 43213 95.27 97.56 (-2.30)#761 98.38 (-3.12)#21,390
18. 43227 92.53 97.56 (-5.03)#870 98.38 (-5.85)#24,106
19. 43085 92.50 97.56 (-5.07)#872 98.38 (-5.89)#24,140
20. 43221 92.12 97.56 (-5.44)#882 98.38 (-6.26)#24,463
21. 43209 91.32 97.56 (-6.25)#911 98.38 (-7.07)#25,130
22. 43230 91.08 97.56 (-6.48)#921 98.38 (-7.30)#25,324
23. 43217 89.81 97.56 (-7.75)#970 98.38 (-8.57)#26,246
24. 43206 89.75 97.56 (-7.82)#971 98.38 (-8.64)#26,286
25. 43203 89.65 97.56 (-7.91)#973 98.38 (-8.73)#26,329
26. 43211 87.59 97.56 (-9.97)#1,018 98.38 (-10.8)#27,545
27. 43219 86.98 97.56 (-10.6)#1,032 98.38 (-11.4)#27,852
28. 43222 86.73 97.56 (-10.8)#1,039 98.38 (-11.7)#27,981
29. 43210 86.27 97.56 (-11.3)#1,047 98.38 (-12.1)#28,199
30. 43231 83.73 97.56 (-13.8)#1,086 98.38 (-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.