Zip Codes with the Lowest Female Poverty Level in San Diego, CA

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Lowest Poverty | Female
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 SpringsDowneyDuarteEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa MesaLa PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLoma LindaLompocLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMontereyMonterey ParkMoreno 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 CanyonTracyTurlockTustinUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Female Poverty Level in San Diego

30.0%
0.0%
Zip Codes with the Lowest Female Poverty Level in San Diego Map

Zip Codes with the Lowest Female Poverty Level in San Diego, CA

Zip Code Female Poverty vs State vs National
1.921272.4%13.2%(-10.8)#1713.7%(-11.3)#991
2.921313.4%13.2%(-9.75)#5313.7%(-10.3)#1,953
3.921284.8%13.2%(-8.40)#11713.7%(-8.91)#3,688
4.921305.2%13.2%(-8.00)#14313.7%(-8.52)#4,282
5.921246.2%13.2%(-6.94)#23013.7%(-7.46)#5,887
6.921196.7%13.2%(-6.45)#27813.7%(-6.97)#6,695
7.921207.9%13.2%(-5.23)#42013.7%(-5.75)#8,614
8.921298.0%13.2%(-5.19)#42613.7%(-5.71)#8,671
9.921268.3%13.2%(-4.86)#46013.7%(-5.38)#9,206
10.921168.7%13.2%(-4.53)#49513.7%(-5.05)#9,752
11.921038.8%13.2%(-4.33)#51413.7%(-4.85)#10,075
12.921399.0%13.2%(-4.20)#52813.7%(-4.72)#10,298
13.921069.5%13.2%(-3.69)#58913.7%(-4.21)#11,095
14.921099.5%13.2%(-3.67)#59113.7%(-4.19)#11,115
15.921079.8%13.2%(-3.41)#62313.7%(-3.93)#11,564
16.9210810.0%13.2%(-3.22)#64413.7%(-3.74)#11,869
17.9211710.5%13.2%(-2.63)#69213.7%(-3.15)#12,736
18.9212310.7%13.2%(-2.47)#70313.7%(-2.99)#12,954
19.9215410.8%13.2%(-2.36)#71313.7%(-2.88)#13,121
20.9211111.4%13.2%(-1.76)#76413.7%(-2.28)#13,991
21.9210411.6%13.2%(-1.59)#77913.7%(-2.11)#14,257
22.9211413.5%13.2%(+0.323)#92213.7%(-0.196)#16,824
23.9211015.6%13.2%(+2.41)#1,04013.7%(+1.89)#19,289
24.9210216.2%13.2%(+3.00)#1,07813.7%(+2.48)#19,929
25.9210116.8%13.2%(+3.61)#1,10313.7%(+3.09)#20,543
26.9212118.8%13.2%(+5.61)#1,19213.7%(+5.09)#22,303
27.9212223.0%13.2%(+9.79)#1,36313.7%(+9.27)#25,056
28.9211324.0%13.2%(+10.8)#1,38113.7%(+10.3)#25,570
29.9211524.3%13.2%(+11.1)#1,38413.7%(+10.6)#25,701
30.9210525.7%13.2%(+12.5)#1,41913.7%(+12.0)#26,307

Common Questions

What are the Top 10 Zip Codes with the Lowest Female Poverty Level in San Diego, CA?
Top 10 Zip Codes with the Lowest Female Poverty Level in San Diego, CA are:
#1
2.4%
#2
3.4%
#3
4.8%
#4
5.2%
#5
6.2%
#6
6.7%
#7
7.9%
#8
8.0%
#9
8.3%
#10
8.7%
What zip code has the Lowest Female Poverty Level in San Diego, CA?
92127 has the Lowest Female Poverty Level in San Diego, CA with 2.4%.
What is the Poverty Level Among Females in San Diego, CA?
Poverty Level Among Females in San Diego is 12.3%.
What is the Poverty Level Among Females in California?
Poverty Level Among Females in California is 13.2%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.