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

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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)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
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
Pittsburgh
Compare Zip Codes
Comparison Subject

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

1.4%
38.7%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pittsburgh Map

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

Zip Code Female Poverty vs State vs National
1. 15213 38.7% 14.3% (+24.5)#99 14.5% (+24.3)#2,882
2. 15219 37.8% 14.3% (+23.6)#105 14.5% (+23.3)#3,021
3. 15204 31.3% 14.3% (+17.1)#181 14.5% (+16.8)#4,367
4. 15208 30.9% 14.3% (+16.7)#187 14.5% (+16.5)#4,459
5. 15221 24.6% 14.3% (+10.3)#292 14.5% (+10.1)#6,588
6. 15207 24.1% 14.3% (+9.82)#301 14.5% (+9.58)#6,780
7. 15210 19.5% 14.3% (+5.27)#405 14.5% (+5.04)#9,030
8. 15212 18.1% 14.3% (+3.89)#451 14.5% (+3.66)#9,899
9. 15214 18.1% 14.3% (+3.85)#452 14.5% (+3.62)#9,922
10. 15233 17.7% 14.3% (+3.44)#466 14.5% (+3.21)#10,164
11. 15216 15.4% 14.3% (+1.14)#546 14.5% (+0.909)#11,707
12. 15235 15.0% 14.3% (+0.721)#559 14.5% (+0.487)#12,019
13. 15205 14.9% 14.3% (+0.678)#564 14.5% (+0.445)#12,053
14. 15225 14.7% 14.3% (+0.446)#572 14.5% (+0.212)#12,200
15. 15218 14.2% 14.3% (-0.093)#589 14.5% (-0.326)#12,613
16. 15217 14.0% 14.3% (-0.210)#594 14.5% (-0.444)#12,693
17. 15203 12.8% 14.3% (-1.43)#651 14.5% (-1.67)#13,626
18. 15236 12.5% 14.3% (-1.74)#661 14.5% (-1.97)#13,837
19. 15201 12.1% 14.3% (-2.14)#673 14.5% (-2.38)#14,171
20. 15229 12.0% 14.3% (-2.26)#678 14.5% (-2.49)#14,249
21. 15223 11.8% 14.3% (-2.47)#689 14.5% (-2.70)#14,430
22. 15232 11.4% 14.3% (-2.89)#713 14.5% (-3.13)#14,779
23. 15206 10.9% 14.3% (-3.37)#741 14.5% (-3.60)#15,223
24. 15227 10.0% 14.3% (-4.29)#785 14.5% (-4.53)#16,052
25. 15215 8.8% 14.3% (-5.43)#842 14.5% (-5.66)#17,077
26. 15226 8.3% 14.3% (-5.95)#864 14.5% (-6.18)#17,561
27. 15238 8.1% 14.3% (-6.13)#873 14.5% (-6.36)#17,712
28. 15224 7.6% 14.3% (-6.65)#898 14.5% (-6.89)#18,200
29. 15234 7.5% 14.3% (-6.76)#907 14.5% (-6.99)#18,292
30. 15239 6.9% 14.3% (-7.32)#940 14.5% (-7.56)#18,822
31. 15209 5.9% 14.3% (-8.31)#983 14.5% (-8.55)#19,719
32. 15228 4.8% 14.3% (-9.49)#1,036 14.5% (-9.73)#20,774
33. 15220 4.4% 14.3% (-9.82)#1,060 14.5% (-10.1)#21,078
34. 15243 4.4% 14.3% (-9.84)#1,061 14.5% (-10.1)#21,086
35. 15237 3.8% 14.3% (-10.4)#1,090 14.5% (-10.7)#21,590
36. 15211 3.6% 14.3% (-10.7)#1,101 14.5% (-10.9)#21,767
37. 15222 3.0% 14.3% (-11.3)#1,122 14.5% (-11.5)#22,202
38. 15202 2.1% 14.3% (-12.2)#1,156 14.5% (-12.4)#22,804
39. 15241 1.4% 14.3% (-12.8)#1,171 14.5% (-13.1)#23,170

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pittsburgh, PA?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pittsburgh, PA are:
#1
38.7%
#2
37.8%
#3
31.3%
#4
30.9%
#5
24.6%
#6
24.1%
#7
19.5%
#8
18.1%
#9
18.1%
#10
17.7%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Pittsburgh, PA?
15213 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Pittsburgh, PA with 38.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Pittsburgh, PA?
Poverty Level Among Females Between Ages 25 and 34 in Pittsburgh is 16.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania?
Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania is 14.3%.
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%.