Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Pennsylvania

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Highest Poverty | Girls 0-16
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 Child Poverty Level Among Girls Under the Age of 16 in Pennsylvania

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Pennsylvania Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Pennsylvania

Zip Code Child Poverty (Girls) vs State vs National
1.18435100.0%16.5%(+83.5)#117.0%(+83.0)#43
2.15451100.0%16.5%(+83.5)#217.0%(+83.0)#58
3.18342100.0%16.5%(+83.5)#317.0%(+83.0)#62
4.15692100.0%16.5%(+83.5)#417.0%(+83.0)#77
5.17219100.0%16.5%(+83.5)#517.0%(+83.0)#115
6.18624100.0%16.5%(+83.5)#617.0%(+83.0)#151
7.16132100.0%16.5%(+83.5)#717.0%(+83.0)#179
8.15489100.0%16.5%(+83.5)#817.0%(+83.0)#191
9.15443100.0%16.5%(+83.5)#917.0%(+83.0)#204
10.17763100.0%16.5%(+83.5)#1017.0%(+83.0)#222
11.17081100.0%16.5%(+83.5)#1117.0%(+83.0)#233
12.16352100.0%16.5%(+83.5)#1217.0%(+83.0)#244
13.15710100.0%16.5%(+83.5)#1317.0%(+83.0)#265
14.15420100.0%16.5%(+83.5)#1417.0%(+83.0)#286
15.15460100.0%16.5%(+83.5)#1517.0%(+83.0)#296
16.18230100.0%16.5%(+83.5)#1617.0%(+83.0)#303
17.16322100.0%16.5%(+83.5)#1717.0%(+83.0)#334
18.17323100.0%16.5%(+83.5)#1817.0%(+83.0)#360
19.15689100.0%16.5%(+83.5)#1917.0%(+83.0)#365
20.1847389.1%16.5%(+72.6)#2017.0%(+72.2)#445
21.1567887.2%16.5%(+70.7)#2117.0%(+70.2)#466
22.1808685.1%16.5%(+68.6)#2217.0%(+68.1)#494
23.1543484.2%16.5%(+67.7)#2317.0%(+67.2)#509
24.1706481.8%16.5%(+65.3)#2417.0%(+64.8)#554
25.1870980.7%16.5%(+64.2)#2517.0%(+63.7)#576
26.1573379.4%16.5%(+62.9)#2617.0%(+62.4)#608
27.1562378.7%16.5%(+62.2)#2717.0%(+61.7)#623
28.1851776.3%16.5%(+59.8)#2817.0%(+59.3)#671
29.1535176.2%16.5%(+59.7)#2917.0%(+59.2)#674
30.1604873.9%16.5%(+57.4)#3017.0%(+56.9)#732
31.1590173.0%16.5%(+56.5)#3117.0%(+56.0)#760
32.1621172.7%16.5%(+56.2)#3217.0%(+55.8)#771
33.1674668.0%16.5%(+51.5)#3317.0%(+51.0)#912
34.1592268.0%16.5%(+51.5)#3417.0%(+51.0)#915
35.1531566.7%16.5%(+50.2)#3517.0%(+49.7)#952
36.1776864.5%16.5%(+48.0)#3617.0%(+47.5)#1,051
37.1727163.0%16.5%(+46.5)#3717.0%(+46.0)#1,118
38.1571562.5%16.5%(+46.0)#3817.0%(+45.5)#1,143
39.1913260.5%16.5%(+44.0)#3917.0%(+43.5)#1,236
40.1594860.4%16.5%(+43.9)#4017.0%(+43.5)#1,243
41.1884560.3%16.5%(+43.8)#4117.0%(+43.4)#1,247
42.1665960.0%16.5%(+43.5)#4217.0%(+43.0)#1,270
43.1650359.4%16.5%(+42.9)#4317.0%(+42.4)#1,306
44.1837056.8%16.5%(+40.3)#4417.0%(+39.8)#1,496
45.1688256.8%16.5%(+40.3)#4517.0%(+39.8)#1,497
46.1531656.5%16.5%(+40.0)#4617.0%(+39.5)#1,518
47.1913456.4%16.5%(+39.9)#4717.0%(+39.4)#1,522
48.1709355.6%16.5%(+39.1)#4817.0%(+38.6)#1,577
49.1625055.6%16.5%(+39.1)#4917.0%(+38.6)#1,582
50.1621355.6%16.5%(+39.1)#5017.0%(+38.6)#1,586
51.1635355.1%16.5%(+38.6)#5117.0%(+38.2)#1,604
52.1787255.1%16.5%(+38.6)#5217.0%(+38.1)#1,606
53.1514555.0%16.5%(+38.5)#5317.0%(+38.0)#1,613
54.1882855.0%16.5%(+38.5)#5417.0%(+38.0)#1,620
55.1781055.0%16.5%(+38.5)#5517.0%(+38.0)#1,623
56.1776554.8%16.5%(+38.3)#5617.0%(+37.9)#1,628
57.1602754.8%16.5%(+38.3)#5717.0%(+37.9)#1,630
58.1564054.5%16.5%(+38.0)#5817.0%(+37.6)#1,653
59.1650753.5%16.5%(+37.0)#5917.0%(+36.5)#1,727
60.1793053.3%16.5%(+36.8)#6017.0%(+36.4)#1,743
61.1537753.1%16.5%(+36.6)#6117.0%(+36.1)#1,760
62.1913353.1%16.5%(+36.6)#6217.0%(+36.1)#1,766
63.1623352.7%16.5%(+36.2)#6317.0%(+35.8)#1,795
64.1907952.2%16.5%(+35.7)#6417.0%(+35.2)#1,848
65.1643452.1%16.5%(+35.6)#6517.0%(+35.2)#1,857
66.1542352.0%16.5%(+35.5)#6617.0%(+35.0)#1,875
67.1672951.0%16.5%(+34.5)#6717.0%(+34.0)#1,976
68.1510450.9%16.5%(+34.4)#6817.0%(+33.9)#1,982
69.1912150.7%16.5%(+34.2)#6917.0%(+33.8)#1,994
70.1902350.0%16.5%(+33.5)#7017.0%(+33.0)#2,033
71.1536850.0%16.5%(+33.5)#7117.0%(+33.0)#2,059
72.1596250.0%16.5%(+33.5)#7217.0%(+33.0)#2,062
73.1735550.0%16.5%(+33.5)#7317.0%(+33.0)#2,070
74.1577050.0%16.5%(+33.5)#7417.0%(+33.0)#2,084
75.1673350.0%16.5%(+33.5)#7517.0%(+33.0)#2,085
76.1773150.0%16.5%(+33.5)#7617.0%(+33.0)#2,089
77.1590649.1%16.5%(+32.6)#7717.0%(+32.1)#2,174
78.1571448.9%16.5%(+32.4)#7817.0%(+31.9)#2,195
79.1901348.8%16.5%(+32.3)#7917.0%(+31.8)#2,205
80.1511048.5%16.5%(+32.0)#8017.0%(+31.5)#2,232
81.1843948.4%16.5%(+31.9)#8117.0%(+31.4)#2,244
82.1569047.5%16.5%(+31.0)#8217.0%(+30.5)#2,331
83.1914047.5%16.5%(+31.0)#8317.0%(+30.5)#2,334
84.1960247.4%16.5%(+30.9)#8417.0%(+30.5)#2,336
85.1590247.4%16.5%(+30.9)#8517.0%(+30.4)#2,350
86.1520847.1%16.5%(+30.6)#8617.0%(+30.1)#2,374
87.1708446.9%16.5%(+30.4)#8717.0%(+29.9)#2,404
88.1575746.8%16.5%(+30.3)#8817.0%(+29.8)#2,408
89.1624646.4%16.5%(+29.9)#8917.0%(+29.5)#2,452
90.1521946.4%16.5%(+29.9)#9017.0%(+29.4)#2,458
91.1788146.2%16.5%(+29.7)#9117.0%(+29.3)#2,467
92.1662346.2%16.5%(+29.7)#9217.0%(+29.2)#2,474
93.1722345.9%16.5%(+29.4)#9317.0%(+29.0)#2,494
94.1861045.8%16.5%(+29.3)#9417.0%(+28.8)#2,514
95.1513245.5%16.5%(+29.0)#9517.0%(+28.6)#2,542
96.1500745.5%16.5%(+29.0)#9617.0%(+28.5)#2,551
97.1837145.3%16.5%(+28.8)#9717.0%(+28.3)#2,573
98.1792545.2%16.5%(+28.7)#9817.0%(+28.2)#2,586
99.1709445.1%16.5%(+28.6)#9917.0%(+28.1)#2,594
100.1506745.0%16.5%(+28.5)#10017.0%(+28.0)#2,603

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Pennsylvania?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 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 Child Poverty Level Among Girls Under the Age of 16 in Pennsylvania?
18435 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Pennsylvania with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Pennsylvania?
Poverty Level Among Girls Under the Age of 16 in Pennsylvania is 16.5%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.