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

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Highest Poverty | Child 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 Poverty Level Among Children Under the Age of 16 in North Carolina

30.0%
100.0%
Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in North Carolina Map

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

Zip Code Child Poverty vs State vs National
1. 27824 100.0% 18.9% (+81.1)#1 16.9% (+83.1)#8
2. 28447 100.0% 18.9% (+81.1)#2 16.9% (+83.1)#9
3. 27917 97.7% 18.9% (+78.8)#3 16.9% (+80.8)#293
4. 28392 96.0% 18.9% (+77.1)#4 16.9% (+79.1)#302
5. 28367 90.9% 18.9% (+72.0)#5 16.9% (+74.0)#328
6. 28508 90.1% 18.9% (+71.2)#6 16.9% (+73.2)#338
7. 27965 85.9% 18.9% (+67.0)#7 16.9% (+69.0)#386
8. 28102 83.9% 18.9% (+64.9)#8 16.9% (+66.9)#414
9. 27840 83.3% 18.9% (+64.4)#9 16.9% (+66.4)#424
10. 27819 82.8% 18.9% (+63.9)#10 16.9% (+65.9)#434
11. 27556 81.7% 18.9% (+62.8)#11 16.9% (+64.8)#456
12. 27842 80.4% 18.9% (+61.5)#12 16.9% (+63.5)#478
13. 28587 80.0% 18.9% (+61.1)#13 16.9% (+63.1)#484
14. 28042 78.7% 18.9% (+59.8)#14 16.9% (+61.8)#510
15. 27861 76.5% 18.9% (+57.5)#15 16.9% (+59.5)#557
16. 27953 72.7% 18.9% (+53.8)#16 16.9% (+55.8)#631
17. 28519 71.9% 18.9% (+53.0)#17 16.9% (+55.0)#658
18. 27978 69.1% 18.9% (+50.2)#18 16.9% (+52.2)#744
19. 28553 69.0% 18.9% (+50.0)#19 16.9% (+52.0)#748
20. 27573 65.5% 18.9% (+46.5)#20 16.9% (+48.5)#870
21. 27832 65.4% 18.9% (+46.4)#21 16.9% (+48.4)#871
22. 27374 63.9% 18.9% (+44.9)#22 16.9% (+46.9)#930
23. 27970 63.7% 18.9% (+44.7)#23 16.9% (+46.7)#937
24. 27969 63.1% 18.9% (+44.2)#24 16.9% (+46.2)#961
25. 27873 61.9% 18.9% (+43.0)#25 16.9% (+45.0)#1,006
26. 27201 61.8% 18.9% (+42.8)#26 16.9% (+44.8)#1,013
27. 28683 61.6% 18.9% (+42.7)#27 16.9% (+44.7)#1,016
28. 28136 60.0% 18.9% (+41.1)#28 16.9% (+43.1)#1,098
29. 28386 58.9% 18.9% (+39.9)#29 16.9% (+41.9)#1,149
30. 27810 57.2% 18.9% (+38.3)#30 16.9% (+40.3)#1,251
31. 28340 57.1% 18.9% (+38.1)#31 16.9% (+40.1)#1,264
32. 28789 56.0% 18.9% (+37.1)#32 16.9% (+39.1)#1,326
33. 28464 53.9% 18.9% (+35.0)#33 16.9% (+37.0)#1,469
34. 27855 53.6% 18.9% (+34.7)#34 16.9% (+36.7)#1,503
35. 27589 53.4% 18.9% (+34.5)#35 16.9% (+36.5)#1,520
36. 27926 53.3% 18.9% (+34.3)#36 16.9% (+36.3)#1,538
37. 28675 51.9% 18.9% (+32.9)#37 16.9% (+34.9)#1,651
38. 28433 51.9% 18.9% (+32.9)#38 16.9% (+34.9)#1,652
39. 27890 51.9% 18.9% (+32.9)#39 16.9% (+34.9)#1,654
40. 28578 51.2% 18.9% (+32.3)#40 16.9% (+34.3)#1,720
41. 28333 51.2% 18.9% (+32.3)#41 16.9% (+34.3)#1,722
42. 27973 51.0% 18.9% (+32.1)#42 16.9% (+34.1)#1,738
43. 28077 50.3% 18.9% (+31.4)#43 16.9% (+33.4)#1,801
44. 28775 50.3% 18.9% (+31.3)#44 16.9% (+33.3)#1,804
45. 28452 50.0% 18.9% (+31.1)#45 16.9% (+33.1)#1,831
46. 27825 50.0% 18.9% (+31.1)#46 16.9% (+33.1)#1,860
47. 28301 49.1% 18.9% (+30.1)#47 16.9% (+32.1)#1,925
48. 28617 48.9% 18.9% (+29.9)#48 16.9% (+31.9)#1,945
49. 28478 48.5% 18.9% (+29.5)#49 16.9% (+31.5)#1,982
50. 27209 48.4% 18.9% (+29.4)#50 16.9% (+31.4)#1,998
51. 27507 47.8% 18.9% (+28.8)#51 16.9% (+30.8)#2,061
52. 28377 47.0% 18.9% (+28.1)#52 16.9% (+30.1)#2,156
53. 27260 46.9% 18.9% (+27.9)#53 16.9% (+29.9)#2,168
54. 28431 46.9% 18.9% (+27.9)#54 16.9% (+29.9)#2,169
55. 28365 46.8% 18.9% (+27.8)#55 16.9% (+29.8)#2,178
56. 28337 46.4% 18.9% (+27.5)#56 16.9% (+29.5)#2,221
57. 27843 46.4% 18.9% (+27.4)#57 16.9% (+29.4)#2,224
58. 27401 46.3% 18.9% (+27.3)#58 16.9% (+29.3)#2,240
59. 27305 46.2% 18.9% (+27.2)#59 16.9% (+29.2)#2,255
60. 28383 46.1% 18.9% (+27.2)#60 16.9% (+29.2)#2,258
61. 27105 45.9% 18.9% (+27.0)#61 16.9% (+29.0)#2,293
62. 28458 45.8% 18.9% (+26.9)#62 16.9% (+28.9)#2,301
63. 28501 45.5% 18.9% (+26.5)#63 16.9% (+28.5)#2,343
64. 27936 45.2% 18.9% (+26.3)#64 16.9% (+28.3)#2,372
65. 28202 44.8% 18.9% (+25.9)#65 16.9% (+27.9)#2,427
66. 27325 44.7% 18.9% (+25.8)#66 16.9% (+27.8)#2,442
67. 28344 44.3% 18.9% (+25.4)#67 16.9% (+27.4)#2,494
68. 27871 44.2% 18.9% (+25.3)#68 16.9% (+27.3)#2,519
69. 28384 44.1% 18.9% (+25.1)#69 16.9% (+27.1)#2,531
70. 27986 43.9% 18.9% (+25.0)#70 16.9% (+27.0)#2,552
71. 28364 43.8% 18.9% (+24.8)#71 16.9% (+26.8)#2,568
72. 28341 43.7% 18.9% (+24.8)#72 16.9% (+26.8)#2,579
73. 27874 43.7% 18.9% (+24.8)#73 16.9% (+26.8)#2,583
74. 28352 43.7% 18.9% (+24.7)#74 16.9% (+26.7)#2,590
75. 28167 43.5% 18.9% (+24.5)#75 16.9% (+26.5)#2,627
76. 28678 43.4% 18.9% (+24.4)#76 16.9% (+26.4)#2,649
77. 27872 43.0% 18.9% (+24.1)#77 16.9% (+26.1)#2,703
78. 27553 42.9% 18.9% (+23.9)#78 16.9% (+25.9)#2,722
79. 27311 42.5% 18.9% (+23.6)#79 16.9% (+25.6)#2,772
80. 27831 42.5% 18.9% (+23.6)#80 16.9% (+25.6)#2,773
81. 28463 42.5% 18.9% (+23.5)#81 16.9% (+25.5)#2,778
82. 28379 42.4% 18.9% (+23.4)#82 16.9% (+25.4)#2,799
83. 28580 42.2% 18.9% (+23.2)#83 16.9% (+25.2)#2,813
84. 27893 42.2% 18.9% (+23.2)#84 16.9% (+25.2)#2,816
85. 27828 42.0% 18.9% (+23.0)#85 16.9% (+25.0)#2,850
86. 28144 41.8% 18.9% (+22.9)#86 16.9% (+24.9)#2,869
87. 28073 41.7% 18.9% (+22.8)#87 16.9% (+24.8)#2,880
88. 28905 41.6% 18.9% (+22.7)#88 16.9% (+24.7)#2,895
89. 28328 41.4% 18.9% (+22.5)#89 16.9% (+24.5)#2,920
90. 27850 41.2% 18.9% (+22.2)#90 16.9% (+24.2)#2,958
91. 28441 40.9% 18.9% (+21.9)#91 16.9% (+23.9)#3,007
92. 28206 40.7% 18.9% (+21.8)#92 16.9% (+23.8)#3,030
93. 27801 40.7% 18.9% (+21.8)#93 16.9% (+23.8)#3,036
94. 27829 40.4% 18.9% (+21.5)#94 16.9% (+23.5)#3,082
95. 27876 40.4% 18.9% (+21.5)#95 16.9% (+23.5)#3,083
96. 28665 40.3% 18.9% (+21.3)#96 16.9% (+23.3)#3,110
97. 28783 39.9% 18.9% (+21.0)#97 16.9% (+23.0)#3,176
98. 27983 39.7% 18.9% (+20.8)#98 16.9% (+22.8)#3,219
99. 28345 39.6% 18.9% (+20.7)#99 16.9% (+22.7)#3,246
100. 28544 39.6% 18.9% (+20.6)#100 16.9% (+22.6)#3,256

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in North Carolina?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in North Carolina are:
#1
100.0%
#2
100.0%
#3
97.7%
#4
96.0%
#5
90.9%
#6
90.1%
#7
85.9%
#8
83.9%
#9
83.3%
#10
82.8%
What zip code has the Highest Poverty Level Among Children Under the Age of 16 in North Carolina?
27824 has the Highest Poverty Level Among Children Under the Age of 16 in North Carolina with 100.0%.
What is the Poverty Level Among Children Under the Age of 16 in the State of North Carolina?
Poverty Level Among Children Under the Age of 16 in North Carolina is 18.9%.
What is the Poverty Level Among Children Under the Age of 16 in the United States?
Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.