Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in North Carolina

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Highest Poverty | Child 0-5
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 5 in North Carolina

40.0%
100.0%
Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in North Carolina Map

Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in North Carolina

Zip Code Child Poverty vs State vs National
1. 27816 100.0% 20.3% (+79.7)#1 18.1% (+81.9)#12
2. 27046 100.0% 20.3% (+79.7)#2 18.1% (+81.9)#18
3. 27926 100.0% 20.3% (+79.7)#3 18.1% (+81.9)#25
4. 28392 100.0% 20.3% (+79.7)#4 18.1% (+81.9)#31
5. 27842 100.0% 20.3% (+79.7)#5 18.1% (+81.9)#43
6. 27920 100.0% 20.3% (+79.7)#6 18.1% (+81.9)#44
7. 28447 100.0% 20.3% (+79.7)#7 18.1% (+81.9)#55
8. 27826 100.0% 20.3% (+79.7)#8 18.1% (+81.9)#76
9. 27942 100.0% 20.3% (+79.7)#9 18.1% (+81.9)#164
10. 28553 100.0% 20.3% (+79.7)#10 18.1% (+81.9)#259
11. 27873 100.0% 20.3% (+79.7)#11 18.1% (+81.9)#353
12. 27840 100.0% 20.3% (+79.7)#12 18.1% (+81.9)#385
13. 28587 100.0% 20.3% (+79.7)#13 18.1% (+81.9)#398
14. 28367 100.0% 20.3% (+79.7)#14 18.1% (+81.9)#443
15. 28042 93.4% 20.3% (+73.1)#15 18.1% (+75.3)#597
16. 27917 90.6% 20.3% (+70.3)#16 18.1% (+72.5)#633
17. 27573 85.4% 20.3% (+65.1)#17 18.1% (+67.3)#699
18. 27556 83.7% 20.3% (+63.4)#18 18.1% (+65.7)#734
19. 27847 83.3% 20.3% (+63.1)#19 18.1% (+65.3)#742
20. 27978 82.6% 20.3% (+62.3)#20 18.1% (+64.5)#755
21. 28135 82.5% 20.3% (+62.2)#21 18.1% (+64.4)#757
22. 28369 79.2% 20.3% (+58.9)#22 18.1% (+61.1)#841
23. 28685 78.8% 20.3% (+58.5)#23 18.1% (+60.7)#847
24. 27973 78.4% 20.3% (+58.2)#24 18.1% (+60.4)#858
25. 28789 76.8% 20.3% (+56.5)#25 18.1% (+58.7)#906
26. 27343 75.9% 20.3% (+55.6)#26 18.1% (+57.8)#930
27. 28510 75.8% 20.3% (+55.5)#27 18.1% (+57.7)#937
28. 28423 75.7% 20.3% (+55.4)#28 18.1% (+57.6)#939
29. 28508 74.2% 20.3% (+53.9)#29 18.1% (+56.1)#998
30. 28519 73.4% 20.3% (+53.2)#30 18.1% (+55.4)#1,032
31. 28901 72.5% 20.3% (+52.3)#31 18.1% (+54.5)#1,066
32. 27589 72.4% 20.3% (+52.2)#32 18.1% (+54.4)#1,068
33. 27855 72.0% 20.3% (+51.7)#33 18.1% (+53.9)#1,088
34. 28458 70.9% 20.3% (+50.6)#34 18.1% (+52.8)#1,116
35. 27810 69.9% 20.3% (+49.6)#35 18.1% (+51.8)#1,154
36. 27832 69.2% 20.3% (+49.0)#36 18.1% (+51.2)#1,179
37. 27884 69.2% 20.3% (+49.0)#37 18.1% (+51.2)#1,180
38. 28202 68.5% 20.3% (+48.2)#38 18.1% (+50.5)#1,210
39. 27209 67.2% 20.3% (+46.9)#39 18.1% (+49.1)#1,265
40. 28386 66.1% 20.3% (+45.8)#40 18.1% (+48.1)#1,337
41. 27986 64.5% 20.3% (+44.2)#41 18.1% (+46.5)#1,409
42. 27946 64.4% 20.3% (+44.2)#42 18.1% (+46.4)#1,413
43. 27311 64.0% 20.3% (+43.7)#43 18.1% (+45.9)#1,447
44. 28775 63.4% 20.3% (+43.1)#44 18.1% (+45.3)#1,479
45. 27939 63.3% 20.3% (+43.1)#45 18.1% (+45.3)#1,482
46. 28683 63.2% 20.3% (+42.9)#46 18.1% (+45.1)#1,488
47. 28521 62.7% 20.3% (+42.5)#47 18.1% (+44.7)#1,509
48. 27326 62.6% 20.3% (+42.4)#48 18.1% (+44.6)#1,518
49. 28337 62.4% 20.3% (+42.1)#49 18.1% (+44.3)#1,543
50. 28697 62.3% 20.3% (+42.0)#50 18.1% (+44.2)#1,546
51. 27890 61.6% 20.3% (+41.3)#51 18.1% (+43.5)#1,582
52. 28340 61.3% 20.3% (+41.0)#52 18.1% (+43.2)#1,611
53. 28325 61.1% 20.3% (+40.8)#53 18.1% (+43.0)#1,622
54. 28344 59.5% 20.3% (+39.2)#54 18.1% (+41.4)#1,730
55. 27350 58.9% 20.3% (+38.6)#55 18.1% (+40.8)#1,774
56. 28431 58.5% 20.3% (+38.2)#56 18.1% (+40.4)#1,795
57. 27325 57.9% 20.3% (+37.7)#57 18.1% (+39.9)#1,833
58. 28144 57.9% 20.3% (+37.6)#58 18.1% (+39.8)#1,841
59. 28128 57.6% 20.3% (+37.4)#59 18.1% (+39.6)#1,856
60. 27505 57.1% 20.3% (+36.9)#60 18.1% (+39.1)#1,881
61. 28433 57.1% 20.3% (+36.8)#61 18.1% (+39.0)#1,903
62. 28455 56.9% 20.3% (+36.6)#62 18.1% (+38.8)#1,918
63. 27260 55.6% 20.3% (+35.3)#63 18.1% (+37.6)#2,016
64. 28707 55.6% 20.3% (+35.3)#64 18.1% (+37.5)#2,035
65. 27809 55.4% 20.3% (+35.1)#65 18.1% (+37.3)#2,050
66. 27401 55.2% 20.3% (+34.9)#66 18.1% (+37.1)#2,059
67. 28009 55.0% 20.3% (+34.7)#67 18.1% (+36.9)#2,068
68. 28301 54.4% 20.3% (+34.2)#68 18.1% (+36.4)#2,109
69. 27243 54.0% 20.3% (+33.7)#69 18.1% (+35.9)#2,142
70. 27962 53.3% 20.3% (+33.1)#70 18.1% (+35.3)#2,212
71. 27850 52.6% 20.3% (+32.4)#71 18.1% (+34.6)#2,284
72. 27801 52.4% 20.3% (+32.2)#72 18.1% (+34.4)#2,305
73. 27845 51.7% 20.3% (+31.4)#73 18.1% (+33.7)#2,362
74. 27889 51.0% 20.3% (+30.7)#74 18.1% (+32.9)#2,431
75. 28077 50.9% 20.3% (+30.6)#75 18.1% (+32.8)#2,436
76. 28351 50.0% 20.3% (+29.7)#76 18.1% (+31.9)#2,521
77. 27871 50.0% 20.3% (+29.7)#77 18.1% (+31.9)#2,522
78. 27047 50.0% 20.3% (+29.7)#78 18.1% (+31.9)#2,541
79. 28349 49.8% 20.3% (+29.5)#79 18.1% (+31.7)#2,624
80. 28384 49.7% 20.3% (+29.4)#80 18.1% (+31.7)#2,629
81. 28352 49.2% 20.3% (+28.9)#81 18.1% (+31.1)#2,672
82. 28365 49.2% 20.3% (+28.9)#82 18.1% (+31.1)#2,674
83. 27893 49.1% 20.3% (+28.8)#83 18.1% (+31.0)#2,684
84. 28383 49.1% 20.3% (+28.8)#84 18.1% (+31.0)#2,688
85. 27843 49.0% 20.3% (+28.7)#85 18.1% (+31.0)#2,691
86. 27807 48.5% 20.3% (+28.2)#86 18.1% (+30.5)#2,751
87. 28501 47.9% 20.3% (+27.6)#87 18.1% (+29.8)#2,817
88. 28580 47.6% 20.3% (+27.4)#88 18.1% (+29.6)#2,852
89. 28617 47.2% 20.3% (+26.9)#89 18.1% (+29.1)#2,895
90. 28463 47.2% 20.3% (+26.9)#90 18.1% (+29.1)#2,896
91. 28578 47.1% 20.3% (+26.9)#91 18.1% (+29.1)#2,907
92. 28665 47.0% 20.3% (+26.7)#92 18.1% (+28.9)#2,925
93. 28170 46.9% 20.3% (+26.6)#93 18.1% (+28.9)#2,927
94. 28621 46.9% 20.3% (+26.6)#94 18.1% (+28.8)#2,930
95. 28669 46.4% 20.3% (+26.1)#95 18.1% (+28.4)#2,986
96. 28538 46.4% 20.3% (+26.1)#96 18.1% (+28.3)#2,996
97. 28086 46.2% 20.3% (+25.9)#97 18.1% (+28.2)#3,015
98. 27823 46.1% 20.3% (+25.8)#98 18.1% (+28.1)#3,042
99. 28650 45.9% 20.3% (+25.6)#99 18.1% (+27.8)#3,069
100. 27105 45.2% 20.3% (+24.9)#100 18.1% (+27.1)#3,155

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in North Carolina?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 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
100.0%
What zip code has the Highest Poverty Level Among Children Under the Age of 5 in North Carolina?
27816 has the Highest Poverty Level Among Children Under the Age of 5 in North Carolina with 100.0%.
What is the Poverty Level Among Children Under the Age of 5 in the State of North Carolina?
Poverty Level Among Children Under the Age of 5 in North Carolina is 20.3%.
What is the Poverty Level Among Children Under the Age of 5 in the United States?
Poverty Level Among Children Under the Age of 5 in the United States is 18.1%.