Zip Codes with the Highest Female / Male Ratio in San Diego, CA

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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 NativeAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern 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
San Diego
States
California Cities
AlamedaAlhambraAnaheimAntiochApple ValleyArcadiaAuburnBakersfieldBerkeleyBeverly HillsBreaBuena ParkBurbankCamarilloCanoga ParkCanyon CountryCarlsbadCarsonCastro ValleyChicoChinoChula VistaCitrus HeightsClovisComptonConcordCoronaCosta MesaCovinaCulver CityDaly CityDanvilleDavisDesert Hot SpringsDowneyDuarteEdwardsEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa JollaLa MesaLa MiradaLa PuenteLake ElsinoreLakewoodLancasterLemooreLivermoreLodiLoma LindaLompocLong BeachLos AltosLos AngelesLos GatosMaderaMalibuMantecaMenifeeMercedMission ViejoModestoMontereyMonterey ParkMoragaMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaPortervilleRancho CordovaRancho CucamongaRancho Santa FeReddingRedlandsRedondo BeachRedwood CityRialtoRichmondRiversideRocklinRosevilleSacramentoSalinasSan BernardinoSan ClementeSan DiegoSan FranciscoSan GabrielSan JacintoSan JoseSan LeandroSan Luis ObispoSan MarcosSan MateoSan PedroSan RafaelSan RamonSanta AnaSanta BarbaraSanta ClaraSanta ClaritaSanta CruzSanta MariaSanta MonicaSanta RosaSherman OaksSimi ValleySpring ValleyStocktonSunnyvaleTemeculaThousand OaksTorranceTrabuco CanyonTracyTurlockTustinTwentynine PalmsUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

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

1.37
117.68
Zip Codes with the Highest Female / Male Ratio in San Diego Map

Zip Codes with the Highest Female / Male Ratio in San Diego, CA

Zip Code Females / 100 Males vs State vs National
1. 92119 117.68 99.69 (+18.0)#144 101.64 (+16.0)#4,175
2. 92139 107.44 99.69 (+7.75)#379 101.64 (+5.79)#9,331
3. 92147 106.90 99.69 (+7.21)#410 101.64 (+5.25)#9,792
4. 92128 104.92 99.69 (+5.23)#521 101.64 (+3.28)#11,598
5. 92130 104.88 99.69 (+5.20)#524 101.64 (+3.24)#11,633
6. 92111 104.51 99.69 (+4.82)#552 101.64 (+2.87)#11,980
7. 92115 104.39 99.69 (+4.70)#561 101.64 (+2.75)#12,085
8. 92127 104.28 99.69 (+4.59)#567 101.64 (+2.64)#12,185
9. 92124 103.64 99.69 (+3.96)#605 101.64 (+2.00)#12,799
10. 92129 102.82 99.69 (+3.14)#651 101.64 (+1.18)#13,588
11. 92120 100.96 99.69 (+1.28)#767 101.64 (-0.679)#15,540
12. 92102 100.15 99.69 (+0.468)#837 101.64 (-1.49)#16,380
13. 92113 99.39 99.69 (-0.293)#899 101.64 (-2.25)#17,205
14. 92110 98.51 99.69 (-1.18)#973 101.64 (-3.13)#18,100
15. 92106 98.09 99.69 (-1.59)#1,002 101.64 (-3.55)#18,495
16. 92114 96.49 99.69 (-3.19)#1,094 101.64 (-5.15)#20,074
17. 92105 96.13 99.69 (-3.56)#1,111 101.64 (-5.51)#20,402
18. 92104 95.97 99.69 (-3.72)#1,121 101.64 (-5.67)#20,544
19. 92117 95.23 99.69 (-4.45)#1,168 101.64 (-6.41)#21,180
20. 92131 95.14 99.69 (-4.54)#1,170 101.64 (-6.50)#21,247
21. 92122 94.96 99.69 (-4.72)#1,180 101.64 (-6.68)#21,394
22. 92116 93.40 99.69 (-6.28)#1,251 101.64 (-8.24)#22,588
23. 92107 93.30 99.69 (-6.39)#1,258 101.64 (-8.35)#22,675
24. 92126 93.15 99.69 (-6.54)#1,264 101.64 (-8.49)#22,796
25. 92154 90.81 99.69 (-8.88)#1,337 101.64 (-10.8)#24,333
26. 92103 90.09 99.69 (-9.60)#1,357 101.64 (-11.6)#24,757
27. 92108 90.01 99.69 (-9.68)#1,359 101.64 (-11.6)#24,800
28. 92123 88.65 99.69 (-11.0)#1,394 101.64 (-13.0)#25,557
29. 92121 87.53 99.69 (-12.2)#1,410 101.64 (-14.1)#26,060
30. 92109 86.04 99.69 (-13.6)#1,447 101.64 (-15.6)#26,738
31. 92101 77.37 99.69 (-22.3)#1,559 101.64 (-24.3)#29,437
32. 92136 26.03 99.69 (-73.7)#1,726 101.64 (-75.6)#32,719
33. 92135 14.06 99.69 (-85.6)#1,733 101.64 (-87.6)#32,838
34. 92134 13.68 99.69 (-86.0)#1,734 101.64 (-88.0)#32,840
35. 92145 12.04 99.69 (-87.6)#1,735 101.64 (-89.6)#32,854
36. 92140 1.37 99.69 (-98.3)#1,747 101.64 (-100)#32,921

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in San Diego, CA?
Top 10 Zip Codes with the Highest Female / Male Ratio in San Diego, CA are:
#1
117.68
#2
107.44
#3
106.90
#4
104.92
#5
104.88
#6
104.51
#7
104.39
#8
104.28
#9
103.64
#10
102.82
What zip code has the Highest Female / Male Ratio in San Diego, CA?
92119 has the Highest Female / Male Ratio in San Diego, CA with 117.68.
What is the Famale to Male Ratio in San Diego, CA?
Famale to Male Ratio in San Diego is 95.90.
What is the Famale to Male Ratio in California?
Famale to Male Ratio in California is 99.69.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.