Zip Codes with the Fewest Births per 1,000 Women in San Diego, CA

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Lowest Birth Rate | All Women
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 SpringsDowneyEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa MesaLa PuenteLake ElsinoreLakewoodLancasterLemooreLivermoreLodiLompocLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaRancho CordovaRancho CucamongaReddingRedlandsRedondo 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 Fewest Births per 1,000 Women in San Diego

103.0
20.0
Zip Codes with the Fewest Births per 1,000 Women in San Diego Map

Zip Codes with the Fewest Births per 1,000 Women in San Diego, CA

Zip Code Births / 1,000 Women vs State vs National
1. 92116 20.0 48.0 (-28.0)#95 52.0 (-32.0)#2,326
2. 92115 23.0 48.0 (-25.0)#131 52.0 (-29.0)#3,039
3. 92101 24.0 48.0 (-24.0)#143 52.0 (-28.0)#3,304
4. 92117 29.0 48.0 (-19.0)#209 52.0 (-23.0)#4,625
5. 92122 29.0 48.0 (-19.0)#212 52.0 (-23.0)#4,637
6. 92109 29.0 48.0 (-19.0)#213 52.0 (-23.0)#4,640
7. 92103 29.0 48.0 (-19.0)#216 52.0 (-23.0)#4,654
8. 92136 31.0 48.0 (-17.0)#261 52.0 (-21.0)#5,339
9. 92111 32.0 48.0 (-16.0)#268 52.0 (-20.0)#5,518
10. 92130 34.0 48.0 (-14.0)#317 52.0 (-18.0)#6,151
11. 92110 34.0 48.0 (-14.0)#325 52.0 (-18.0)#6,197
12. 92104 38.0 48.0 (-10.00)#421 52.0 (-14.0)#7,463
13. 92131 41.0 48.0 (-7.00)#505 52.0 (-11.0)#8,558
14. 92105 46.0 48.0 (-2.00)#632 52.0 (-6.00)#10,296
15. 92106 46.0 48.0 (-2.00)#651 52.0 (-6.00)#10,460
16. 92119 48.0 48.0 (=0.000)#714 52.0 (-4.00)#11,117
17. 92114 49.0 48.0 (+1.000)#720 52.0 (-3.00)#11,352
18. 92154 50.0 48.0 (+2.00)#740 52.0 (-2.00)#11,700
19. 92113 50.0 48.0 (+2.00)#748 52.0 (-2.00)#11,723
20. 92120 50.0 48.0 (+2.00)#763 52.0 (-2.00)#11,785
21. 92102 52.0 48.0 (+4.00)#810 52.0 (=0.000)#12,441
22. 92123 54.0 48.0 (+6.00)#863 52.0 (+2.00)#13,134
23. 92126 58.0 48.0 (+10.00)#925 52.0 (+6.00)#14,291
24. 92108 59.0 48.0 (+11.0)#957 52.0 (+7.00)#14,697
25. 92121 59.0 48.0 (+11.0)#962 52.0 (+7.00)#14,797
26. 92128 60.0 48.0 (+12.0)#967 52.0 (+8.00)#14,910
27. 92139 61.0 48.0 (+13.0)#996 52.0 (+9.00)#15,254
28. 92127 62.0 48.0 (+14.0)#1,009 52.0 (+10.00)#15,513
29. 92129 63.0 48.0 (+15.0)#1,027 52.0 (+11.0)#15,744
30. 92107 63.0 48.0 (+15.0)#1,033 52.0 (+11.0)#15,789
31. 92124 103.0 48.0 (+55.0)#1,294 52.0 (+51.0)#21,763

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women in San Diego, CA?
Top 10 Zip Codes with the Fewest Births per 1,000 Women in San Diego, CA are:
#1
20.0
#2
23.0
#3
24.0
#4
29.0
#5
29.0
#6
29.0
#7
29.0
#8
31.0
#9
32.0
#10
34.0
What zip code has the Fewest Births per 1,000 Women in San Diego, CA?
92116 has the Fewest Births per 1,000 Women in San Diego, CA with 20.0.
What is the Number of Births per 1,000 Women in San Diego, CA?
Number of Births per 1,000 Women in San Diego is 43.0.
What is the Number of Births per 1,000 Women in California?
Number of Births per 1,000 Women in California is 48.0.
What is the Number of Births per 1,000 Women in the United States?
Number of Births per 1,000 Women in the United States is 52.0.