Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix, AZ

RELATED REPORTS & OPTIONS

Highest Poverty | Girls 0-16
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
Phoenix
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix

1.2%
63.7%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix, AZ

Zip Code Child Poverty (Girls) vs State vs National
1. 85034 63.7% 18.0% (+45.6)#21 17.0% (+46.7)#1,084
2. 85006 42.7% 18.0% (+24.6)#51 17.0% (+25.7)#2,934
3. 85003 41.9% 18.0% (+23.9)#53 17.0% (+24.9)#3,048
4. 85009 39.0% 18.0% (+21.0)#61 17.0% (+22.1)#3,541
5. 85017 38.5% 18.0% (+20.5)#63 17.0% (+21.6)#3,624
6. 85015 38.0% 18.0% (+20.0)#65 17.0% (+21.0)#3,716
7. 85019 35.0% 18.0% (+17.0)#78 17.0% (+18.0)#4,373
8. 85031 34.4% 18.0% (+16.4)#79 17.0% (+17.5)#4,519
9. 85035 31.6% 18.0% (+13.5)#87 17.0% (+14.6)#5,300
10. 85040 30.3% 18.0% (+12.2)#93 17.0% (+13.3)#5,663
11. 85054 29.5% 18.0% (+11.4)#98 17.0% (+12.5)#5,898
12. 85016 28.9% 18.0% (+10.9)#100 17.0% (+12.0)#6,079
13. 85033 28.2% 18.0% (+10.1)#105 17.0% (+11.2)#6,323
14. 85008 28.0% 18.0% (+9.96)#106 17.0% (+11.0)#6,413
15. 85029 26.5% 18.0% (+8.44)#118 17.0% (+9.51)#6,934
16. 85007 25.3% 18.0% (+7.27)#126 17.0% (+8.33)#7,407
17. 85032 24.3% 18.0% (+6.29)#131 17.0% (+7.36)#7,824
18. 85051 24.1% 18.0% (+6.07)#133 17.0% (+7.13)#7,907
19. 85023 23.5% 18.0% (+5.44)#138 17.0% (+6.50)#8,173
20. 85042 23.1% 18.0% (+5.05)#140 17.0% (+6.11)#8,323
21. 85044 23.1% 18.0% (+5.05)#141 17.0% (+6.11)#8,324
22. 85043 22.4% 18.0% (+4.41)#147 17.0% (+5.47)#8,621
23. 85021 22.2% 18.0% (+4.15)#150 17.0% (+5.21)#8,779
24. 85037 22.1% 18.0% (+4.04)#151 17.0% (+5.11)#8,819
25. 85053 20.7% 18.0% (+2.61)#159 17.0% (+3.68)#9,538
26. 85041 19.5% 18.0% (+1.50)#169 17.0% (+2.56)#10,091
27. 85020 18.3% 18.0% (+0.235)#181 17.0% (+1.30)#10,786
28. 85022 17.2% 18.0% (-0.863)#191 17.0% (+0.203)#11,414
29. 85014 17.0% 18.0% (-1.05)#192 17.0% (+0.017)#11,521
30. 85018 12.0% 18.0% (-6.00)#234 17.0% (-4.94)#14,766
31. 85027 12.0% 18.0% (-6.03)#235 17.0% (-4.96)#14,774
32. 85013 9.1% 18.0% (-8.97)#252 17.0% (-7.90)#16,990
33. 85012 4.8% 18.0% (-13.2)#287 17.0% (-12.2)#20,589
34. 85048 4.2% 18.0% (-13.9)#293 17.0% (-12.8)#21,156
35. 85085 3.1% 18.0% (-14.9)#303 17.0% (-13.9)#22,101
36. 85086 3.1% 18.0% (-15.0)#304 17.0% (-13.9)#22,115
37. 85050 2.9% 18.0% (-15.2)#307 17.0% (-14.1)#22,301
38. 85024 2.8% 18.0% (-15.3)#309 17.0% (-14.2)#22,422
39. 85028 2.4% 18.0% (-15.6)#312 17.0% (-14.5)#22,658
40. 85045 2.1% 18.0% (-16.0)#316 17.0% (-14.9)#22,978
41. 85083 1.2% 18.0% (-16.8)#319 17.0% (-15.7)#23,611

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix, AZ?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix, AZ are:
#1
63.7%
#2
42.7%
#3
41.9%
#4
39.0%
#5
38.5%
#6
38.0%
#7
35.0%
#8
34.4%
#9
31.6%
#10
30.3%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix, AZ?
85034 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Phoenix, AZ with 63.7%.
What is the Poverty Level Among Girls Under the Age of 16 in Phoenix, AZ?
Poverty Level Among Girls Under the Age of 16 in Phoenix is 21.8%.
What is the Poverty Level Among Girls Under the Age of 16 in Arizona?
Poverty Level Among Girls Under the Age of 16 in Arizona is 18.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.