Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania

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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)
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 Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania

Zip Code Female Poverty vs State vs National
1.18056100.0%14.3%(+85.7)#114.5%(+85.5)#29
2.15444100.0%14.3%(+85.7)#214.5%(+85.5)#91
3.19345100.0%14.3%(+85.7)#314.5%(+85.5)#121
4.17221100.0%14.3%(+85.7)#414.5%(+85.5)#184
5.15640100.0%14.3%(+85.7)#514.5%(+85.5)#185
6.15007100.0%14.3%(+85.7)#614.5%(+85.5)#198
7.15429100.0%14.3%(+85.7)#714.5%(+85.5)#213
8.15422100.0%14.3%(+85.7)#814.5%(+85.5)#220
9.18473100.0%14.3%(+85.7)#914.5%(+85.5)#225
10.15778100.0%14.3%(+85.7)#1014.5%(+85.5)#256
11.15443100.0%14.3%(+85.7)#1114.5%(+85.5)#283
12.15430100.0%14.3%(+85.7)#1214.5%(+85.5)#284
13.17945100.0%14.3%(+85.7)#1314.5%(+85.5)#291
14.17041100.0%14.3%(+85.7)#1414.5%(+85.5)#298
15.15710100.0%14.3%(+85.7)#1514.5%(+85.5)#336
16.18912100.0%14.3%(+85.7)#1614.5%(+85.5)#359
17.15764100.0%14.3%(+85.7)#1714.5%(+85.5)#378
18.16937100.0%14.3%(+85.7)#1814.5%(+85.5)#407
19.15760100.0%14.3%(+85.7)#1914.5%(+85.5)#434
20.15689100.0%14.3%(+85.7)#2014.5%(+85.5)#439
21.15776100.0%14.3%(+85.7)#2114.5%(+85.5)#471
22.1650192.3%14.3%(+78.0)#2214.5%(+77.8)#498
23.1684791.3%14.3%(+77.0)#2314.5%(+76.8)#502
24.1884589.7%14.3%(+75.4)#2414.5%(+75.2)#517
25.1783587.5%14.3%(+73.2)#2514.5%(+73.0)#536
26.1612183.9%14.3%(+69.6)#2614.5%(+69.4)#568
27.1500482.4%14.3%(+68.1)#2714.5%(+67.9)#584
28.1835578.8%14.3%(+64.5)#2814.5%(+64.3)#626
29.1503178.5%14.3%(+64.2)#2914.5%(+64.0)#631
30.1562377.0%14.3%(+62.8)#3014.5%(+62.5)#647
31.1621175.0%14.3%(+60.7)#3114.5%(+60.5)#689
32.1706470.8%14.3%(+56.6)#3214.5%(+56.3)#770
33.1537770.6%14.3%(+56.3)#3314.5%(+56.1)#776
34.1892068.9%14.3%(+54.6)#3414.5%(+54.4)#812
35.1882866.7%14.3%(+52.4)#3514.5%(+52.2)#893
36.1553266.7%14.3%(+52.4)#3614.5%(+52.2)#898
37.1693263.6%14.3%(+49.4)#3714.5%(+49.1)#969
38.1833462.1%14.3%(+47.8)#3814.5%(+47.6)#1,033
39.1572060.0%14.3%(+45.7)#3914.5%(+45.5)#1,110
40.1773160.0%14.3%(+45.7)#4014.5%(+45.5)#1,115
41.1822158.1%14.3%(+43.8)#4114.5%(+43.6)#1,206
42.1846057.1%14.3%(+42.9)#4214.5%(+42.6)#1,241
43.1907957.1%14.3%(+42.8)#4314.5%(+42.6)#1,244
44.1507655.6%14.3%(+41.3)#4414.5%(+41.1)#1,302
45.1532055.0%14.3%(+40.8)#4514.5%(+40.5)#1,335
46.1833254.8%14.3%(+40.6)#4614.5%(+40.3)#1,342
47.1664054.7%14.3%(+40.5)#4714.5%(+40.2)#1,348
48.1555453.8%14.3%(+39.6)#4814.5%(+39.4)#1,407
49.1541153.3%14.3%(+39.1)#4914.5%(+38.8)#1,442
50.1590253.0%14.3%(+38.7)#5014.5%(+38.5)#1,457
51.1632852.9%14.3%(+38.7)#5114.5%(+38.4)#1,463
52.1843452.4%14.3%(+38.2)#5214.5%(+37.9)#1,485
53.1503351.8%14.3%(+37.5)#5314.5%(+37.3)#1,532
54.1837050.4%14.3%(+36.2)#5414.5%(+35.9)#1,593
55.1592450.0%14.3%(+35.7)#5514.5%(+35.5)#1,631
56.1788850.0%14.3%(+35.7)#5614.5%(+35.5)#1,652
57.1724950.0%14.3%(+35.7)#5714.5%(+35.5)#1,663
58.1686150.0%14.3%(+35.7)#5814.5%(+35.5)#1,670
59.1625050.0%14.3%(+35.7)#5914.5%(+35.5)#1,673
60.1514549.9%14.3%(+35.6)#6014.5%(+35.4)#1,707
61.1553349.3%14.3%(+35.1)#6114.5%(+34.8)#1,731
62.1685149.1%14.3%(+34.8)#6214.5%(+34.6)#1,747
63.1547548.4%14.3%(+34.1)#6314.5%(+33.9)#1,797
64.1787247.8%14.3%(+33.5)#6414.5%(+33.3)#1,843
65.1643447.0%14.3%(+32.8)#6514.5%(+32.5)#1,914
66.1612046.7%14.3%(+32.4)#6614.5%(+32.2)#1,937
67.1633245.5%14.3%(+31.2)#6714.5%(+31.0)#2,060
68.1574745.1%14.3%(+30.9)#6814.5%(+30.6)#2,089
69.1650344.9%14.3%(+30.7)#6914.5%(+30.4)#2,118
70.1510444.8%14.3%(+30.6)#7014.5%(+30.4)#2,130
71.1595444.3%14.3%(+30.1)#7114.5%(+29.8)#2,188
72.1624243.8%14.3%(+29.5)#7214.5%(+29.3)#2,241
73.1684543.2%14.3%(+28.9)#7314.5%(+28.7)#2,292
74.1687843.0%14.3%(+28.8)#7414.5%(+28.5)#2,308
75.1832742.9%14.3%(+28.6)#7514.5%(+28.4)#2,332
76.1624642.9%14.3%(+28.6)#7614.5%(+28.4)#2,348
77.1641642.9%14.3%(+28.6)#7714.5%(+28.4)#2,352
78.1913242.6%14.3%(+28.3)#7814.5%(+28.1)#2,373
79.1590142.5%14.3%(+28.2)#7914.5%(+28.0)#2,377
80.1703842.1%14.3%(+27.9)#8014.5%(+27.6)#2,421
81.1616141.8%14.3%(+27.6)#8114.5%(+27.3)#2,461
82.1640241.7%14.3%(+27.4)#8214.5%(+27.2)#2,476
83.1914241.5%14.3%(+27.2)#8314.5%(+27.0)#2,497
84.1604141.5%14.3%(+27.2)#8414.5%(+27.0)#2,501
85.1513241.0%14.3%(+26.7)#8514.5%(+26.5)#2,560
86.1861440.9%14.3%(+26.6)#8614.5%(+26.4)#2,564
87.1682940.9%14.3%(+26.6)#8714.5%(+26.4)#2,568
88.1788740.7%14.3%(+26.4)#8814.5%(+26.2)#2,601
89.1834440.3%14.3%(+26.0)#8914.5%(+25.8)#2,641
90.1960240.2%14.3%(+26.0)#9014.5%(+25.7)#2,645
91.1504540.2%14.3%(+26.0)#9114.5%(+25.7)#2,647
92.1776440.0%14.3%(+25.7)#9214.5%(+25.5)#2,678
93.1883439.9%14.3%(+25.6)#9314.5%(+25.4)#2,737
94.1797639.8%14.3%(+25.6)#9414.5%(+25.3)#2,739
95.1706339.7%14.3%(+25.4)#9514.5%(+25.2)#2,756
96.1572539.0%14.3%(+24.8)#9614.5%(+24.5)#2,830
97.1693339.0%14.3%(+24.7)#9714.5%(+24.5)#2,840
98.1825038.8%14.3%(+24.5)#9814.5%(+24.3)#2,872
99.1521338.7%14.3%(+24.5)#9914.5%(+24.3)#2,882
100.1912138.7%14.3%(+24.4)#10014.5%(+24.2)#2,890

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania?
18056 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Pennsylvania with 100.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the State of 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%.