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

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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
1.92119117.6899.69(+18.0)#144101.64(+16.0)#4,175
2.92139107.4499.69(+7.75)#379101.64(+5.79)#9,331
3.92147106.9099.69(+7.21)#410101.64(+5.25)#9,792
4.92128104.9299.69(+5.23)#521101.64(+3.28)#11,598
5.92130104.8899.69(+5.20)#524101.64(+3.24)#11,633
6.92111104.5199.69(+4.82)#552101.64(+2.87)#11,980
7.92115104.3999.69(+4.70)#561101.64(+2.75)#12,085
8.92127104.2899.69(+4.59)#567101.64(+2.64)#12,185
9.92124103.6499.69(+3.96)#605101.64(+2.00)#12,799
10.92129102.8299.69(+3.14)#651101.64(+1.18)#13,588
11.92120100.9699.69(+1.28)#767101.64(-0.679)#15,540
12.92102100.1599.69(+0.468)#837101.64(-1.49)#16,380
13.9211399.3999.69(-0.293)#899101.64(-2.25)#17,205
14.9211098.5199.69(-1.18)#973101.64(-3.13)#18,100
15.9210698.0999.69(-1.59)#1,002101.64(-3.55)#18,495
16.9211496.4999.69(-3.19)#1,094101.64(-5.15)#20,074
17.9210596.1399.69(-3.56)#1,111101.64(-5.51)#20,402
18.9210495.9799.69(-3.72)#1,121101.64(-5.67)#20,544
19.9211795.2399.69(-4.45)#1,168101.64(-6.41)#21,180
20.9213195.1499.69(-4.54)#1,170101.64(-6.50)#21,247
21.9212294.9699.69(-4.72)#1,180101.64(-6.68)#21,394
22.9211693.4099.69(-6.28)#1,251101.64(-8.24)#22,588
23.9210793.3099.69(-6.39)#1,258101.64(-8.35)#22,675
24.9212693.1599.69(-6.54)#1,264101.64(-8.49)#22,796
25.9215490.8199.69(-8.88)#1,337101.64(-10.8)#24,333
26.9210390.0999.69(-9.60)#1,357101.64(-11.6)#24,757
27.9210890.0199.69(-9.68)#1,359101.64(-11.6)#24,800
28.9212388.6599.69(-11.0)#1,394101.64(-13.0)#25,557
29.9212187.5399.69(-12.2)#1,410101.64(-14.1)#26,060
30.9210986.0499.69(-13.6)#1,447101.64(-15.6)#26,738
31.9210177.3799.69(-22.3)#1,559101.64(-24.3)#29,437
32.9213626.0399.69(-73.7)#1,726101.64(-75.6)#32,719
33.9213514.0699.69(-85.6)#1,733101.64(-87.6)#32,838
34.9213413.6899.69(-86.0)#1,734101.64(-88.0)#32,840
35.9214512.0499.69(-87.6)#1,735101.64(-89.6)#32,854
36.921401.3799.69(-98.3)#1,747101.64(-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.