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

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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
North Carolina
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Carolina

40.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Carolina Map

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

Zip Code Child Poverty (Girls) vs State vs National
1. 27824 100.0% 19.2% (+80.8)#1 17.0% (+83.0)#15
2. 28447 100.0% 19.2% (+80.8)#2 17.0% (+83.0)#18
3. 28527 100.0% 19.2% (+80.8)#3 17.0% (+83.0)#29
4. 27917 100.0% 19.2% (+80.8)#4 17.0% (+83.0)#69
5. 28553 100.0% 19.2% (+80.8)#5 17.0% (+83.0)#137
6. 28671 100.0% 19.2% (+80.8)#6 17.0% (+83.0)#156
7. 27965 100.0% 19.2% (+80.8)#7 17.0% (+83.0)#176
8. 28587 100.0% 19.2% (+80.8)#8 17.0% (+83.0)#257
9. 27861 100.0% 19.2% (+80.8)#9 17.0% (+83.0)#347
10. 28392 94.7% 19.2% (+75.5)#10 17.0% (+77.8)#411
11. 28508 89.4% 19.2% (+70.2)#11 17.0% (+72.4)#444
12. 27847 87.8% 19.2% (+68.6)#12 17.0% (+70.8)#456
13. 27556 87.5% 19.2% (+68.3)#13 17.0% (+70.5)#459
14. 27842 85.1% 19.2% (+65.9)#14 17.0% (+68.1)#493
15. 27819 85.0% 19.2% (+65.8)#15 17.0% (+68.0)#495
16. 28042 84.2% 19.2% (+65.0)#16 17.0% (+67.2)#512
17. 28367 80.0% 19.2% (+60.8)#17 17.0% (+63.0)#590
18. 28631 79.5% 19.2% (+60.3)#18 17.0% (+62.5)#604
19. 27978 76.5% 19.2% (+57.3)#19 17.0% (+59.5)#669
20. 27969 72.6% 19.2% (+53.4)#20 17.0% (+55.6)#773
21. 28102 70.6% 19.2% (+51.4)#21 17.0% (+53.6)#825
22. 27573 69.9% 19.2% (+50.8)#22 17.0% (+53.0)#849
23. 27305 69.4% 19.2% (+50.2)#23 17.0% (+52.4)#865
24. 27209 67.1% 19.2% (+47.9)#24 17.0% (+50.1)#938
25. 27840 66.7% 19.2% (+47.5)#25 17.0% (+49.7)#966
26. 28675 65.3% 19.2% (+46.1)#26 17.0% (+48.3)#1,017
27. 27374 63.9% 19.2% (+44.7)#27 17.0% (+46.9)#1,078
28. 27832 63.7% 19.2% (+44.5)#28 17.0% (+46.7)#1,082
29. 28077 63.3% 19.2% (+44.1)#29 17.0% (+46.4)#1,103
30. 28578 63.3% 19.2% (+44.1)#30 17.0% (+46.3)#1,104
31. 28789 61.6% 19.2% (+42.4)#31 17.0% (+44.6)#1,182
32. 28386 60.8% 19.2% (+41.6)#32 17.0% (+43.8)#1,222
33. 28519 60.6% 19.2% (+41.4)#33 17.0% (+43.6)#1,234
34. 28478 60.0% 19.2% (+40.9)#34 17.0% (+43.1)#1,256
35. 28340 59.8% 19.2% (+40.6)#35 17.0% (+42.8)#1,279
36. 27953 59.7% 19.2% (+40.5)#36 17.0% (+42.8)#1,283
37. 28617 59.7% 19.2% (+40.5)#37 17.0% (+42.7)#1,288
38. 28333 59.3% 19.2% (+40.1)#38 17.0% (+42.3)#1,312
39. 28167 59.0% 19.2% (+39.9)#39 17.0% (+42.1)#1,334
40. 27973 57.9% 19.2% (+38.7)#40 17.0% (+40.9)#1,414
41. 27829 57.1% 19.2% (+37.9)#41 17.0% (+40.2)#1,461
42. 28905 56.3% 19.2% (+37.1)#42 17.0% (+39.4)#1,525
43. 27022 56.1% 19.2% (+36.9)#43 17.0% (+39.1)#1,544
44. 28464 55.8% 19.2% (+36.6)#44 17.0% (+38.8)#1,563
45. 27843 55.2% 19.2% (+36.0)#45 17.0% (+38.2)#1,602
46. 28678 54.9% 19.2% (+35.7)#46 17.0% (+37.9)#1,626
47. 27932 54.5% 19.2% (+35.3)#47 17.0% (+37.5)#1,659
48. 27855 54.0% 19.2% (+34.8)#48 17.0% (+37.0)#1,701
49. 28073 53.5% 19.2% (+34.4)#49 17.0% (+36.6)#1,723
50. 28399 53.4% 19.2% (+34.3)#50 17.0% (+36.5)#1,733
51. 28501 53.2% 19.2% (+34.0)#51 17.0% (+36.2)#1,756
52. 27926 51.8% 19.2% (+32.6)#52 17.0% (+34.8)#1,895
53. 28431 51.8% 19.2% (+32.6)#53 17.0% (+34.8)#1,897
54. 28685 51.7% 19.2% (+32.6)#54 17.0% (+34.8)#1,899
55. 28383 51.3% 19.2% (+32.1)#55 17.0% (+34.3)#1,941
56. 28901 51.2% 19.2% (+32.0)#56 17.0% (+34.2)#1,955
57. 27818 50.5% 19.2% (+31.3)#57 17.0% (+33.5)#2,010
58. 27350 50.4% 19.2% (+31.3)#58 17.0% (+33.5)#2,013
59. 27825 50.0% 19.2% (+30.8)#59 17.0% (+33.0)#2,102
60. 28337 49.9% 19.2% (+30.7)#60 17.0% (+33.0)#2,113
61. 28580 49.7% 19.2% (+30.5)#61 17.0% (+32.7)#2,123
62. 27343 49.7% 19.2% (+30.5)#62 17.0% (+32.7)#2,125
63. 27589 49.5% 19.2% (+30.3)#63 17.0% (+32.5)#2,140
64. 27831 49.4% 19.2% (+30.2)#64 17.0% (+32.4)#2,153
65. 27810 49.3% 19.2% (+30.1)#65 17.0% (+32.3)#2,159
66. 28347 49.1% 19.2% (+29.9)#66 17.0% (+32.2)#2,170
67. 28363 48.9% 19.2% (+29.7)#67 17.0% (+31.9)#2,192
68. 28135 48.8% 19.2% (+29.6)#68 17.0% (+31.8)#2,211
69. 28301 48.3% 19.2% (+29.1)#69 17.0% (+31.3)#2,254
70. 28344 47.7% 19.2% (+28.5)#70 17.0% (+30.7)#2,309
71. 28683 47.7% 19.2% (+28.5)#71 17.0% (+30.7)#2,310
72. 27201 46.7% 19.2% (+27.5)#72 17.0% (+29.7)#2,430
73. 28441 46.2% 19.2% (+27.0)#73 17.0% (+29.3)#2,468
74. 27986 45.9% 19.2% (+26.8)#74 17.0% (+29.0)#2,493
75. 27260 45.8% 19.2% (+26.7)#75 17.0% (+28.9)#2,507
76. 28676 45.2% 19.2% (+26.0)#76 17.0% (+28.2)#2,581
77. 27886 45.1% 19.2% (+25.9)#77 17.0% (+28.1)#2,593
78. 28455 45.1% 19.2% (+25.9)#78 17.0% (+28.1)#2,595
79. 28341 45.0% 19.2% (+25.8)#79 17.0% (+28.0)#2,602
80. 28731 45.0% 19.2% (+25.8)#80 17.0% (+28.0)#2,604
81. 27325 44.6% 19.2% (+25.4)#81 17.0% (+27.7)#2,644
82. 28364 44.5% 19.2% (+25.3)#82 17.0% (+27.5)#2,662
83. 28746 44.3% 19.2% (+25.1)#83 17.0% (+27.3)#2,700
84. 27401 44.2% 19.2% (+25.0)#84 17.0% (+27.3)#2,702
85. 27504 43.6% 19.2% (+24.4)#85 17.0% (+26.6)#2,798
86. 28202 43.6% 19.2% (+24.4)#86 17.0% (+26.6)#2,799
87. 28147 43.6% 19.2% (+24.4)#87 17.0% (+26.6)#2,800
88. 28379 43.1% 19.2% (+23.9)#88 17.0% (+26.1)#2,868
89. 27507 43.1% 19.2% (+23.9)#89 17.0% (+26.1)#2,870
90. 28043 43.0% 19.2% (+23.8)#90 17.0% (+26.0)#2,878
91. 28377 42.7% 19.2% (+23.5)#91 17.0% (+25.7)#2,935
92. 27105 42.6% 19.2% (+23.4)#92 17.0% (+25.6)#2,939
93. 28098 42.5% 19.2% (+23.3)#93 17.0% (+25.5)#2,964
94. 28511 42.3% 19.2% (+23.1)#94 17.0% (+25.3)#2,989
95. 28458 42.2% 19.2% (+23.0)#95 17.0% (+25.3)#3,006
96. 27107 42.2% 19.2% (+23.0)#96 17.0% (+25.2)#3,010
97. 28365 42.1% 19.2% (+22.9)#97 17.0% (+25.2)#3,014
98. 27850 42.0% 19.2% (+22.8)#98 17.0% (+25.1)#3,034
99. 28401 41.7% 19.2% (+22.5)#99 17.0% (+24.7)#3,080
100. 28328 40.8% 19.2% (+21.7)#100 17.0% (+23.9)#3,225

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Carolina?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Carolina 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
94.7%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in North Carolina?
27824 has the Highest Child Poverty Level Among Girls Under the Age of 16 in North Carolina with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of North Carolina?
Poverty Level Among Girls Under the Age of 16 in North Carolina is 19.2%.
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%.