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

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Highest Poverty | Female 25-34
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAustralianAustrianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAustralianAustrianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBelizeBrazilBulgariaBurma / MyanmarCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBelizeBrazilBulgariaBurma / MyanmarCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayVenezuelaVietnamWestern 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
Raleigh
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Raleigh

3.3%
17.6%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Raleigh Map

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

Zip Code Female Poverty vs State vs National
1. 27606 17.6% 15.8% (+1.78)#299 14.5% (+3.07)#10,252
2. 27601 15.6% 15.8% (-0.199)#353 14.5% (+1.09)#11,591
3. 27610 14.7% 15.8% (-1.06)#368 14.5% (+0.225)#12,183
4. 27603 13.5% 15.8% (-2.23)#391 14.5% (-0.945)#13,050
5. 27604 12.3% 15.8% (-3.47)#413 14.5% (-2.19)#14,022
6. 27612 11.8% 15.8% (-3.95)#425 14.5% (-2.66)#14,396
7. 27607 9.1% 15.8% (-6.71)#476 14.5% (-5.42)#16,883
8. 27605 8.6% 15.8% (-7.14)#484 14.5% (-5.85)#17,255
9. 27609 6.2% 15.8% (-9.54)#531 14.5% (-8.25)#19,464
10. 27616 5.9% 15.8% (-9.88)#542 14.5% (-8.59)#19,757
11. 27608 5.8% 15.8% (-10.0)#549 14.5% (-8.73)#19,896
12. 27613 5.7% 15.8% (-10.1)#553 14.5% (-8.84)#20,002
13. 27614 4.9% 15.8% (-10.9)#570 14.5% (-9.59)#20,677
14. 27617 4.0% 15.8% (-11.8)#583 14.5% (-10.5)#21,486
15. 27615 3.3% 15.8% (-12.5)#593 14.5% (-11.2)#21,984

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Raleigh, NC?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Raleigh, NC are:
#1
17.6%
#2
15.6%
#3
14.7%
#4
13.5%
#5
12.3%
#6
11.8%
#7
9.1%
#8
8.6%
#9
6.2%
#10
5.9%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Raleigh, NC?
27606 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Raleigh, NC with 17.6%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Raleigh, NC?
Poverty Level Among Females Between Ages 25 and 34 in Raleigh is 10.3%.
What is the Poverty Level Among Females Between Ages 25 and 34 in North Carolina?
Poverty Level Among Females Between Ages 25 and 34 in North Carolina is 15.8%.
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%.