Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Phoenix, AZ

RELATED REPORTS & OPTIONS

Highest Poverty | Female 25-34
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 Poverty Level Among Females Between Ages 25 and 34 in Phoenix

0.0%
40.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Phoenix Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Phoenix, AZ

Zip Code Female Poverty vs State vs National
1.8500932.1%15.2%(+16.9)#7214.5%(+17.6)#4,194
2.8503529.2%15.2%(+13.9)#8514.5%(+14.7)#4,966
3.8501528.6%15.2%(+13.4)#8814.5%(+14.1)#5,134
4.8503126.2%15.2%(+11.0)#9914.5%(+11.7)#5,954
5.8500625.4%15.2%(+10.2)#10214.5%(+10.9)#6,212
6.8501725.1%15.2%(+9.85)#10414.5%(+10.6)#6,340
7.8505125.0%15.2%(+9.74)#10514.5%(+10.5)#6,455
8.8503323.7%15.2%(+8.53)#11214.5%(+9.25)#6,910
9.8502123.4%15.2%(+8.16)#11414.5%(+8.89)#7,083
10.8500421.7%15.2%(+6.47)#12014.5%(+7.19)#7,857
11.8504020.2%15.2%(+5.00)#12914.5%(+5.73)#8,623
12.8502919.6%15.2%(+4.34)#13214.5%(+5.07)#9,021
13.8501919.3%15.2%(+4.10)#13614.5%(+4.83)#9,172
14.8503418.6%15.2%(+3.42)#14414.5%(+4.14)#9,581
15.8505317.6%15.2%(+2.38)#15314.5%(+3.11)#10,232
16.8503717.2%15.2%(+2.03)#15414.5%(+2.76)#10,426
17.8502217.2%15.2%(+2.02)#15514.5%(+2.75)#10,429
18.8502317.0%15.2%(+1.79)#15814.5%(+2.51)#10,603
19.8504315.5%15.2%(+0.257)#17514.5%(+0.981)#11,670
20.8501614.9%15.2%(-0.347)#18014.5%(+0.378)#12,096
21.8500314.8%15.2%(-0.452)#18114.5%(+0.272)#12,150
22.8500814.4%15.2%(-0.820)#18614.5%(-0.095)#12,399
23.8504213.9%15.2%(-1.31)#19114.5%(-0.587)#12,800
24.8504113.9%15.2%(-1.34)#19214.5%(-0.611)#12,821
25.8501413.2%15.2%(-2.04)#19814.5%(-1.32)#13,359
26.8500713.1%15.2%(-2.09)#19914.5%(-1.37)#13,392
27.8501312.6%15.2%(-2.65)#20314.5%(-1.93)#13,816
28.8504411.9%15.2%(-3.31)#20914.5%(-2.59)#14,328
29.8503210.9%15.2%(-4.30)#21614.5%(-3.58)#15,197
30.8502710.6%15.2%(-4.59)#22114.5%(-3.86)#15,452
31.850189.1%15.2%(-6.08)#23814.5%(-5.36)#16,795
32.850206.9%15.2%(-8.28)#26114.5%(-7.56)#18,823
33.850866.6%15.2%(-8.60)#26614.5%(-7.87)#19,117
34.850124.9%15.2%(-10.4)#28714.5%(-9.64)#20,725
35.850454.7%15.2%(-10.5)#29014.5%(-9.76)#20,825
36.850244.2%15.2%(-11.0)#29514.5%(-10.3)#21,289
37.850484.0%15.2%(-11.2)#29814.5%(-10.5)#21,415
38.850283.8%15.2%(-11.4)#30014.5%(-10.7)#21,579
39.850543.5%15.2%(-11.7)#30414.5%(-11.0)#21,810
40.850853.2%15.2%(-12.0)#30614.5%(-11.3)#22,058
41.850502.6%15.2%(-12.7)#30914.5%(-11.9)#22,484

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Phoenix, AZ?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Phoenix, AZ are:
#1
32.1%
#2
29.2%
#3
28.6%
#4
26.2%
#5
25.4%
#6
25.1%
#7
25.0%
#8
23.7%
#9
23.4%
#10
21.7%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Phoenix, AZ?
85009 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Phoenix, AZ with 32.1%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Phoenix, AZ?
Poverty Level Among Females Between Ages 25 and 34 in Phoenix is 15.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Arizona?
Poverty Level Among Females Between Ages 25 and 34 in Arizona is 15.2%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.