Zip Codes with the Highest Female / Male Ratio in Baltimore, MD

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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 NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest 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
Baltimore
Compare Zip Codes
Comparison Subject

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

40.53
147.19
Zip Codes with the Highest Female / Male Ratio in Baltimore Map

Zip Codes with the Highest Female / Male Ratio in Baltimore, MD

Zip Code Females / 100 Males vs State vs National
1. 21239 147.19 105.19 (+42.0)#19 101.64 (+45.5)#1,170
2. 21213 133.36 105.19 (+28.2)#35 101.64 (+31.7)#1,812
3. 21250 132.08 105.19 (+26.9)#38 101.64 (+30.4)#1,923
4. 21215 127.71 105.19 (+22.5)#46 101.64 (+26.1)#2,348
5. 21210 123.12 105.19 (+17.9)#56 101.64 (+21.5)#2,953
6. 21206 122.79 105.19 (+17.6)#57 101.64 (+21.1)#3,010
7. 21216 122.49 105.19 (+17.3)#62 101.64 (+20.8)#3,068
8. 21214 119.67 105.19 (+14.5)#78 101.64 (+18.0)#3,662
9. 21229 115.54 105.19 (+10.3)#94 101.64 (+13.9)#4,859
10. 21223 115.33 105.19 (+10.1)#97 101.64 (+13.7)#4,945
11. 21209 112.98 105.19 (+7.79)#117 101.64 (+11.3)#5,885
12. 21212 112.69 105.19 (+7.50)#122 101.64 (+11.1)#6,027
13. 21205 109.23 105.19 (+4.04)#148 101.64 (+7.59)#7,988
14. 21211 107.11 105.19 (+1.92)#172 101.64 (+5.47)#9,618
15. 21224 103.92 105.19 (-1.27)#223 101.64 (+2.28)#12,541
16. 21230 103.56 105.19 (-1.63)#229 101.64 (+1.92)#12,887
17. 21217 102.39 105.19 (-2.80)#251 101.64 (+0.750)#14,040
18. 21201 99.64 105.19 (-5.55)#286 101.64 (-2.00)#16,981
19. 21231 99.00 105.19 (-6.19)#300 101.64 (-2.64)#17,635
20. 21218 97.53 105.19 (-7.66)#322 101.64 (-4.11)#19,079
21. 21202 91.46 105.19 (-13.7)#375 101.64 (-10.2)#23,955
22. 21251 40.53 105.19 (-64.7)#460 101.64 (-61.1)#32,487

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Baltimore, MD?
Top 10 Zip Codes with the Highest Female / Male Ratio in Baltimore, MD are:
#1
147.19
#2
133.36
#3
132.08
#4
127.71
#5
123.12
#6
122.79
#7
122.49
#8
119.67
#9
115.54
#10
115.33
What zip code has the Highest Female / Male Ratio in Baltimore, MD?
21239 has the Highest Female / Male Ratio in Baltimore, MD with 147.19.
What is the Famale to Male Ratio in Baltimore, MD?
Famale to Male Ratio in Baltimore is 114.05.
What is the Famale to Male Ratio in Maryland?
Famale to Male Ratio in Maryland is 105.19.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.