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

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Male / Female 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 Male / Female Ratio in Baltimore

67.94
246.74
Zip Codes with the Highest Male / Female Ratio in Baltimore Map

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

Zip Code Males / 100 Females vs State vs National
1. 21251 246.74 95.06 (+152)#3 98.38 (+148)#448
2. 21202 109.33 95.06 (+14.3)#88 98.38 (+11.0)#8,980
3. 21218 102.53 95.06 (+7.47)#141 98.38 (+4.15)#13,856
4. 21231 101.01 95.06 (+5.94)#163 98.38 (+2.62)#15,300
5. 21201 100.36 95.06 (+5.30)#177 98.38 (+1.98)#15,954
6. 21217 97.66 95.06 (+2.60)#212 98.38 (-0.721)#18,895
7. 21230 96.56 95.06 (+1.50)#234 98.38 (-1.82)#20,048
8. 21224 96.23 95.06 (+1.17)#240 98.38 (-2.15)#20,394
9. 21211 93.36 95.06 (-1.70)#291 98.38 (-5.02)#23,317
10. 21205 91.55 95.06 (-3.52)#315 98.38 (-6.84)#24,947
11. 21212 88.74 95.06 (-6.33)#341 98.38 (-9.65)#26,908
12. 21209 88.51 95.06 (-6.55)#346 98.38 (-9.87)#27,050
13. 21223 86.71 95.06 (-8.36)#366 98.38 (-11.7)#27,990
14. 21229 86.55 95.06 (-8.51)#369 98.38 (-11.8)#28,076
15. 21214 83.56 95.06 (-11.5)#385 98.38 (-14.8)#29,273
16. 21216 81.64 95.06 (-13.4)#401 98.38 (-16.7)#29,867
17. 21206 81.44 95.06 (-13.6)#406 98.38 (-16.9)#29,925
18. 21210 81.22 95.06 (-13.8)#407 98.38 (-17.2)#29,982
19. 21215 78.30 95.06 (-16.8)#417 98.38 (-20.1)#30,587
20. 21250 75.71 95.06 (-19.4)#425 98.38 (-22.7)#31,012
21. 21213 74.98 95.06 (-20.1)#428 98.38 (-23.4)#31,123
22. 21239 67.94 95.06 (-27.1)#444 98.38 (-30.4)#31,765

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Baltimore, MD?
Top 10 Zip Codes with the Highest Male / Female Ratio in Baltimore, MD are:
#1
246.74
#2
109.33
#3
102.53
#4
101.01
#5
100.36
#6
97.66
#7
96.56
#8
96.23
#9
93.36
#10
91.55
What zip code has the Highest Male / Female Ratio in Baltimore, MD?
21251 has the Highest Male / Female Ratio in Baltimore, MD with 246.74.
What is the Male to Female Ratio in Baltimore, MD?
Male to Female Ratio in Baltimore is 87.68.
What is the Male to Female Ratio in Maryland?
Male to Female Ratio in Maryland is 95.06.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.