Zip Codes with the Highest Poverty Level Among Single Mothers in San Diego, CA

RELATED REPORTS & OPTIONS

Highest Poverty | Single Mother
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
AlhambraAnaheimAntiochApple ValleyArcadiaAuburnBakersfieldBerkeleyBeverly HillsBreaBuena ParkBurbankCamarilloCanoga ParkCanyon CountryCarlsbadCarsonCastro ValleyChicoChinoChula VistaCitrus HeightsClovisComptonConcordCoronaCosta MesaCovinaCulver CityDaly CityDanvilleDavisDesert Hot SpringsDowneyDuarteEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa MesaLa PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLompocLong BeachLos AngelesMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaPortervilleRancho CucamongaRancho Santa FeReddingRedlandsRedondo BeachRedwood CityRialtoRichmondRiversideRosevilleSacramentoSalinasSan BernardinoSan ClementeSan DiegoSan FranciscoSan GabrielSan JacintoSan JoseSan LeandroSan Luis ObispoSan MarcosSan MateoSan PedroSan 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 Highest Poverty Level Among Single Mothers in San Diego

0.0%
50.0%
Zip Codes with the Highest Poverty Level Among Single Mothers in San Diego Map

Zip Codes with the Highest Poverty Level Among Single Mothers in San Diego, CA

Zip Code Single Mother Poverty vs State vs National
1.9210544.9%29.2%(+15.7)#25833.1%(+11.7)#8,196
2.9211339.8%29.2%(+10.6)#34233.1%(+6.62)#9,902
3.9211034.8%29.2%(+5.58)#44733.1%(+1.64)#11,749
4.9211430.8%29.2%(+1.59)#55733.1%(-2.35)#13,375
5.9212130.0%29.2%(+0.806)#58533.1%(-3.14)#13,710
6.9212228.9%29.2%(-0.276)#60833.1%(-4.22)#14,136
7.9211528.7%29.2%(-0.527)#61633.1%(-4.47)#14,207
8.9210128.2%29.2%(-1.01)#62633.1%(-4.95)#14,438
9.9210728.2%29.2%(-1.02)#62733.1%(-4.96)#14,444
10.9210827.5%29.2%(-1.73)#64333.1%(-5.67)#14,723
11.9212927.3%29.2%(-1.93)#64833.1%(-5.87)#14,813
12.9212427.1%29.2%(-2.13)#65733.1%(-6.07)#14,874
13.9210626.5%29.2%(-2.70)#67533.1%(-6.64)#15,079
14.9210226.5%29.2%(-2.74)#67633.1%(-6.68)#15,100
15.9215426.0%29.2%(-3.23)#69633.1%(-7.17)#15,286
16.9211124.4%29.2%(-4.84)#75533.1%(-8.78)#15,969
17.9210423.1%29.2%(-6.14)#79033.1%(-10.1)#16,476
18.9210922.7%29.2%(-6.50)#80533.1%(-10.4)#16,598
19.9212618.7%29.2%(-10.5)#92933.1%(-14.4)#18,218
20.9212818.5%29.2%(-10.7)#93633.1%(-14.6)#18,287
21.9211718.4%29.2%(-10.8)#93733.1%(-14.7)#18,308
22.9213116.0%29.2%(-13.2)#1,00833.1%(-17.1)#19,212
23.9213015.0%29.2%(-14.1)#1,03833.1%(-18.1)#19,566
24.9212314.5%29.2%(-14.7)#1,05533.1%(-18.6)#19,736
25.9212714.1%29.2%(-15.1)#1,06633.1%(-19.0)#19,901
26.9213913.5%29.2%(-15.7)#1,08433.1%(-19.6)#20,116
27.9211610.0%29.2%(-19.2)#1,17133.1%(-23.1)#21,164
28.921195.5%29.2%(-23.7)#1,23433.1%(-27.7)#22,293
29.921204.2%29.2%(-25.0)#1,25433.1%(-29.0)#22,545
30.921033.3%29.2%(-25.9)#1,26133.1%(-29.8)#22,671

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in San Diego, CA?
Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in San Diego, CA are:
#1
44.9%
#2
39.8%
#3
34.8%
#4
30.8%
#5
30.0%
#6
28.9%
#7
28.7%
#8
28.2%
#9
28.2%
#10
27.5%
What zip code has the Highest Poverty Level Among Single Mothers in San Diego, CA?
92105 has the Highest Poverty Level Among Single Mothers in San Diego, CA with 44.9%.
What is the Poverty Level Among Single Mothers in San Diego, CA?
Poverty Level Among Single Mothers in San Diego is 25.0%.
What is the Poverty Level Among Single Mothers in California?
Poverty Level Among Single Mothers in California is 29.2%.
What is the Poverty Level Among Single Mothers in the United States?
Poverty Level Among Single Mothers in the United States is 33.1%.