Zip Codes with the Highest Female Poverty Level in Pennsylvania

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Highest Poverty | Female
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern 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
Pennsylvania
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Female Poverty Level in Pennsylvania

0.0%
100.0%
Zip Codes with the Highest Female Poverty Level in Pennsylvania Map

Zip Codes with the Highest Female Poverty Level in Pennsylvania

Zip Code Female Poverty vs State vs National
1.15275100.0%12.9%(+87.1)#113.7%(+86.3)#105
2.1544397.0%12.9%(+84.1)#213.7%(+83.3)#112
3.1542089.0%12.9%(+76.1)#313.7%(+75.3)#130
4.1507286.4%12.9%(+73.5)#413.7%(+72.7)#140
5.1934582.4%12.9%(+69.5)#513.7%(+68.7)#154
6.1548874.4%12.9%(+61.5)#613.7%(+60.7)#202
7.1500770.0%12.9%(+57.1)#713.7%(+56.3)#233
8.1760668.1%12.9%(+55.2)#813.7%(+54.4)#260
9.1546565.6%12.9%(+52.7)#913.7%(+51.9)#302
10.1650165.0%12.9%(+52.1)#1013.7%(+51.3)#306
11.1562364.6%12.9%(+51.7)#1113.7%(+50.9)#308
12.1847362.6%12.9%(+49.7)#1213.7%(+48.9)#334
13.1592261.4%12.9%(+48.5)#1313.7%(+47.7)#354
14.1938359.0%12.9%(+46.1)#1413.7%(+45.3)#399
15.1521354.6%12.9%(+41.7)#1513.7%(+40.9)#503
16.1507552.4%12.9%(+39.5)#1613.7%(+38.7)#569
17.1573352.2%12.9%(+39.3)#1713.7%(+38.5)#573
18.1548951.2%12.9%(+38.3)#1813.7%(+37.5)#608
19.1535150.2%12.9%(+37.3)#1913.7%(+36.5)#649
20.1788449.5%12.9%(+36.6)#2013.7%(+35.8)#686
21.1546349.2%12.9%(+36.2)#2113.7%(+35.5)#699
22.1788748.1%12.9%(+35.2)#2213.7%(+34.4)#743
23.1613247.5%12.9%(+34.6)#2313.7%(+33.8)#769
24.1850347.1%12.9%(+34.2)#2413.7%(+33.4)#788
25.1531547.0%12.9%(+34.1)#2513.7%(+33.3)#790
26.1665946.0%12.9%(+33.1)#2613.7%(+32.3)#839
27.1621145.9%12.9%(+33.0)#2713.7%(+32.2)#840
28.1936945.9%12.9%(+33.0)#2813.7%(+32.2)#843
29.1567845.3%12.9%(+32.4)#2913.7%(+31.6)#884
30.1594843.1%12.9%(+30.2)#3013.7%(+29.4)#1,015
31.1604843.0%12.9%(+30.1)#3113.7%(+29.3)#1,021
32.1590142.6%12.9%(+29.7)#3213.7%(+28.9)#1,050
33.1650342.2%12.9%(+29.3)#3313.7%(+28.5)#1,079
34.1823042.1%12.9%(+29.2)#3413.7%(+28.4)#1,089
35.1884541.7%12.9%(+28.8)#3513.7%(+28.0)#1,114
36.1912141.3%12.9%(+28.4)#3613.7%(+27.6)#1,140
37.1910440.8%12.9%(+27.9)#3713.7%(+27.1)#1,174
38.1960240.8%12.9%(+27.9)#3813.7%(+27.1)#1,176
39.1596240.7%12.9%(+27.8)#3913.7%(+27.0)#1,184
40.1792340.7%12.9%(+27.8)#4013.7%(+27.0)#1,187
41.1913440.3%12.9%(+27.4)#4113.7%(+26.6)#1,220
42.1914039.8%12.9%(+26.9)#4213.7%(+26.1)#1,261
43.1835539.7%12.9%(+26.8)#4313.7%(+26.0)#1,268
44.1913339.1%12.9%(+26.2)#4413.7%(+25.4)#1,323
45.1564038.1%12.9%(+25.2)#4513.7%(+24.4)#1,425
46.1623637.7%12.9%(+24.8)#4613.7%(+24.0)#1,459
47.1521937.6%12.9%(+24.7)#4713.7%(+23.9)#1,467
48.1545137.0%12.9%(+24.1)#4813.7%(+23.3)#1,538
49.1834236.8%12.9%(+23.9)#4913.7%(+23.1)#1,557
50.1693936.8%12.9%(+23.9)#5013.7%(+23.1)#1,564
51.1781036.7%12.9%(+23.8)#5113.7%(+23.0)#1,586
52.1684336.3%12.9%(+23.4)#5213.7%(+22.6)#1,623
53.1808636.2%12.9%(+23.3)#5313.7%(+22.5)#1,636
54.1503336.2%12.9%(+23.3)#5413.7%(+22.5)#1,639
55.1913235.9%12.9%(+23.0)#5513.7%(+22.2)#1,685
56.1912234.9%12.9%(+22.0)#5613.7%(+21.2)#1,833
57.1543734.8%12.9%(+21.9)#5713.7%(+21.1)#1,848
58.1573434.8%12.9%(+21.9)#5813.7%(+21.1)#1,856
59.1912434.7%12.9%(+21.8)#5913.7%(+21.0)#1,867
60.1650734.6%12.9%(+21.7)#6013.7%(+20.9)#1,887
61.1602734.5%12.9%(+21.6)#6113.7%(+20.8)#1,906
62.1612134.4%12.9%(+21.5)#6213.7%(+20.7)#1,937
63.1824833.7%12.9%(+20.8)#6313.7%(+20.0)#2,039
64.1902332.5%12.9%(+19.6)#6413.7%(+18.8)#2,251
65.1534732.3%12.9%(+19.4)#6513.7%(+18.6)#2,299
66.1561932.1%12.9%(+19.2)#6613.7%(+18.4)#2,334
67.1683732.1%12.9%(+19.2)#6713.7%(+18.4)#2,347
68.1901332.0%12.9%(+19.1)#6813.7%(+18.3)#2,357
69.1710432.0%12.9%(+19.1)#6913.7%(+18.3)#2,359
70.1960131.8%12.9%(+18.9)#7013.7%(+18.1)#2,398
71.1541931.8%12.9%(+18.9)#7113.7%(+18.1)#2,401
72.1912031.6%12.9%(+18.7)#7213.7%(+17.9)#2,437
73.1572931.6%12.9%(+18.7)#7313.7%(+17.9)#2,439
74.1787231.4%12.9%(+18.5)#7413.7%(+17.7)#2,464
75.1907931.4%12.9%(+18.5)#7513.7%(+17.7)#2,466
76.1571031.4%12.9%(+18.5)#7613.7%(+17.7)#2,473
77.1914231.2%12.9%(+18.3)#7713.7%(+17.5)#2,519
78.1913931.1%12.9%(+18.2)#7813.7%(+17.4)#2,535
79.1914131.1%12.9%(+18.2)#7913.7%(+17.4)#2,544
80.1810231.0%12.9%(+18.1)#8013.7%(+17.3)#2,576
81.1955030.7%12.9%(+17.8)#8113.7%(+17.0)#2,646
82.1650230.7%12.9%(+17.8)#8213.7%(+17.0)#2,647
83.1710330.6%12.9%(+17.7)#8313.7%(+16.9)#2,657
84.1837030.3%12.9%(+17.4)#8413.7%(+16.6)#2,723
85.1510430.3%12.9%(+17.4)#8513.7%(+16.6)#2,742
86.1531630.2%12.9%(+17.3)#8613.7%(+16.5)#2,769
87.1891230.2%12.9%(+17.3)#8713.7%(+16.5)#2,773
88.1783530.0%12.9%(+17.1)#8813.7%(+16.3)#2,828
89.1750429.8%12.9%(+16.9)#8913.7%(+16.1)#2,876
90.1503129.8%12.9%(+16.9)#9013.7%(+16.1)#2,883
91.1632229.7%12.9%(+16.8)#9113.7%(+16.0)#2,900
92.1615529.7%12.9%(+16.8)#9213.7%(+16.0)#2,901
93.1755129.5%12.9%(+16.6)#9313.7%(+15.8)#2,947
94.1536829.4%12.9%(+16.5)#9413.7%(+15.7)#2,965
95.1740129.3%12.9%(+16.4)#9513.7%(+15.6)#2,994
96.1882829.3%12.9%(+16.4)#9613.7%(+15.6)#3,015
97.1710229.2%12.9%(+16.3)#9713.7%(+15.5)#3,041
98.1680129.1%12.9%(+16.2)#9813.7%(+15.4)#3,048
99.1667729.1%12.9%(+16.2)#9913.7%(+15.4)#3,069
100.1514829.0%12.9%(+16.1)#10013.7%(+15.3)#3,081

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Pennsylvania?
Top 10 Zip Codes with the Highest Female Poverty Level in Pennsylvania are:
#1
100.0%
#2
97.0%
#3
89.0%
#4
86.4%
#5
82.4%
#6
74.4%
#7
70.0%
#8
68.1%
#9
65.6%
#10
65.0%
What zip code has the Highest Female Poverty Level in Pennsylvania?
15275 has the Highest Female Poverty Level in Pennsylvania with 100.0%.
What is the Poverty Level Among Females in the State of Pennsylvania?
Poverty Level Among Females in Pennsylvania is 12.9%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.