Zip Codes with the Highest Poverty Level Among Single Mothers in North Carolina

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Highest Poverty | Single Mother
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 Single Mothers in North Carolina

60.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Mothers in North Carolina Map

Zip Codes with the Highest Poverty Level Among Single Mothers in North Carolina

Zip Code Single Mother Poverty vs State vs National
1. 28701 100.0% 35.6% (+64.4)#1 33.1% (+66.9)#15
2. 28636 100.0% 35.6% (+64.4)#2 33.1% (+66.9)#22
3. 27341 100.0% 35.6% (+64.4)#3 33.1% (+66.9)#34
4. 27009 100.0% 35.6% (+64.4)#4 33.1% (+66.9)#50
5. 27019 100.0% 35.6% (+64.4)#5 33.1% (+66.9)#51
6. 28635 100.0% 35.6% (+64.4)#6 33.1% (+66.9)#54
7. 27053 100.0% 35.6% (+64.4)#7 33.1% (+66.9)#71
8. 28742 100.0% 35.6% (+64.4)#8 33.1% (+66.9)#72
9. 28698 100.0% 35.6% (+64.4)#9 33.1% (+66.9)#89
10. 28670 100.0% 35.6% (+64.4)#10 33.1% (+66.9)#101
11. 28679 100.0% 35.6% (+64.4)#11 33.1% (+66.9)#121
12. 27926 100.0% 35.6% (+64.4)#12 33.1% (+66.9)#151
13. 27507 100.0% 35.6% (+64.4)#13 33.1% (+66.9)#166
14. 27928 100.0% 35.6% (+64.4)#14 33.1% (+66.9)#175
15. 28623 100.0% 35.6% (+64.4)#15 33.1% (+66.9)#185
16. 28508 100.0% 35.6% (+64.4)#16 33.1% (+66.9)#191
17. 28392 100.0% 35.6% (+64.4)#17 33.1% (+66.9)#194
18. 27553 100.0% 35.6% (+64.4)#18 33.1% (+66.9)#227
19. 27824 100.0% 35.6% (+64.4)#19 33.1% (+66.9)#271
20. 28447 100.0% 35.6% (+64.4)#20 33.1% (+66.9)#297
21. 28683 100.0% 35.6% (+64.4)#21 33.1% (+66.9)#308
22. 27860 100.0% 35.6% (+64.4)#22 33.1% (+66.9)#332
23. 27973 100.0% 35.6% (+64.4)#23 33.1% (+66.9)#353
24. 27946 100.0% 35.6% (+64.4)#24 33.1% (+66.9)#396
25. 27843 100.0% 35.6% (+64.4)#25 33.1% (+66.9)#468
26. 28363 100.0% 35.6% (+64.4)#26 33.1% (+66.9)#491
27. 28631 100.0% 35.6% (+64.4)#27 33.1% (+66.9)#501
28. 28439 100.0% 35.6% (+64.4)#28 33.1% (+66.9)#538
29. 28707 100.0% 35.6% (+64.4)#29 33.1% (+66.9)#824
30. 28325 100.0% 35.6% (+64.4)#30 33.1% (+66.9)#989
31. 28671 100.0% 35.6% (+64.4)#31 33.1% (+66.9)#1,054
32. 27969 100.0% 35.6% (+64.4)#32 33.1% (+66.9)#1,186
33. 27840 100.0% 35.6% (+64.4)#33 33.1% (+66.9)#1,272
34. 28367 100.0% 35.6% (+64.4)#34 33.1% (+66.9)#1,368
35. 28169 100.0% 35.6% (+64.4)#35 33.1% (+66.9)#1,373
36. 27201 100.0% 35.6% (+64.4)#36 33.1% (+66.9)#1,433
37. 27825 100.0% 35.6% (+64.4)#37 33.1% (+66.9)#1,471
38. 28362 100.0% 35.6% (+64.4)#38 33.1% (+66.9)#1,504
39. 28746 97.4% 35.6% (+61.7)#39 33.1% (+64.2)#1,531
40. 27917 95.4% 35.6% (+59.8)#40 33.1% (+62.3)#1,552
41. 27819 95.2% 35.6% (+59.6)#41 33.1% (+62.1)#1,558
42. 28578 92.6% 35.6% (+57.0)#42 33.1% (+59.5)#1,625
43. 27869 92.1% 35.6% (+56.5)#43 33.1% (+59.0)#1,636
44. 27847 88.0% 35.6% (+52.4)#44 33.1% (+54.9)#1,776
45. 27970 87.3% 35.6% (+51.7)#45 33.1% (+54.2)#1,820
46. 28431 85.1% 35.6% (+49.5)#46 33.1% (+52.0)#1,931
47. 28071 84.2% 35.6% (+48.6)#47 33.1% (+51.1)#1,969
48. 28617 84.0% 35.6% (+48.4)#48 33.1% (+50.9)#1,975
49. 27850 83.8% 35.6% (+48.1)#49 33.1% (+50.6)#1,987
50. 28763 82.4% 35.6% (+46.7)#50 33.1% (+49.2)#2,077
51. 28510 82.4% 35.6% (+46.7)#51 33.1% (+49.2)#2,081
52. 27356 82.3% 35.6% (+46.6)#52 33.1% (+49.1)#2,090
53. 28463 82.2% 35.6% (+46.6)#53 33.1% (+49.1)#2,093
54. 27872 81.5% 35.6% (+45.8)#54 33.1% (+48.3)#2,147
55. 27311 81.0% 35.6% (+45.4)#55 33.1% (+47.9)#2,171
56. 27828 80.5% 35.6% (+44.8)#56 33.1% (+47.3)#2,190
57. 27880 79.7% 35.6% (+44.1)#57 33.1% (+46.6)#2,271
58. 28318 79.2% 35.6% (+43.5)#58 33.1% (+46.0)#2,294
59. 27874 76.1% 35.6% (+40.5)#59 33.1% (+43.0)#2,515
60. 28743 75.9% 35.6% (+40.2)#60 33.1% (+42.7)#2,532
61. 28519 75.0% 35.6% (+39.4)#61 33.1% (+41.9)#2,632
62. 27849 74.0% 35.6% (+38.4)#62 33.1% (+40.9)#2,708
63. 28458 74.0% 35.6% (+38.3)#63 33.1% (+40.9)#2,710
64. 27325 73.7% 35.6% (+38.1)#64 33.1% (+40.6)#2,732
65. 27845 73.5% 35.6% (+37.8)#65 33.1% (+40.3)#2,754
66. 28433 73.4% 35.6% (+37.8)#66 33.1% (+40.3)#2,757
67. 28345 73.2% 35.6% (+37.5)#67 33.1% (+40.0)#2,784
68. 27556 72.7% 35.6% (+37.1)#68 33.1% (+39.6)#2,850
69. 27357 72.4% 35.6% (+36.7)#69 33.1% (+39.2)#2,874
70. 28615 72.2% 35.6% (+36.6)#70 33.1% (+39.1)#2,889
71. 28675 71.8% 35.6% (+36.1)#71 33.1% (+38.6)#2,918
72. 28529 70.6% 35.6% (+35.0)#72 33.1% (+37.5)#3,035
73. 27209 70.4% 35.6% (+34.8)#73 33.1% (+37.3)#3,058
74. 28753 70.4% 35.6% (+34.7)#74 33.1% (+37.2)#3,061
75. 27890 70.3% 35.6% (+34.6)#75 33.1% (+37.1)#3,070
76. 28659 70.0% 35.6% (+34.4)#76 33.1% (+36.9)#3,086
77. 28587 70.0% 35.6% (+34.4)#77 33.1% (+36.9)#3,114
78. 27865 69.2% 35.6% (+33.6)#78 33.1% (+36.1)#3,182
79. 28692 68.4% 35.6% (+32.8)#79 33.1% (+35.3)#3,257
80. 27820 67.7% 35.6% (+32.0)#80 33.1% (+34.5)#3,337
81. 28685 67.3% 35.6% (+31.7)#81 33.1% (+34.2)#3,369
82. 28337 67.1% 35.6% (+31.4)#82 33.1% (+33.9)#3,393
83. 27925 67.1% 35.6% (+31.4)#83 33.1% (+33.9)#3,395
84. 28673 66.7% 35.6% (+31.0)#84 33.1% (+33.5)#3,411
85. 28344 66.7% 35.6% (+31.0)#85 33.1% (+33.5)#3,414
86. 28574 66.3% 35.6% (+30.7)#86 33.1% (+33.2)#3,565
87. 28349 66.3% 35.6% (+30.7)#87 33.1% (+33.2)#3,568
88. 27573 65.7% 35.6% (+30.0)#88 33.1% (+32.5)#3,623
89. 28553 65.4% 35.6% (+29.7)#89 33.1% (+32.2)#3,662
90. 28393 65.2% 35.6% (+29.6)#90 33.1% (+32.1)#3,680
91. 27830 65.1% 35.6% (+29.5)#91 33.1% (+32.0)#3,694
92. 27569 64.7% 35.6% (+29.1)#92 33.1% (+31.6)#3,744
93. 28731 64.7% 35.6% (+29.0)#93 33.1% (+31.5)#3,762
94. 27929 64.5% 35.6% (+28.9)#94 33.1% (+31.4)#3,774
95. 28333 64.5% 35.6% (+28.9)#95 33.1% (+31.4)#3,779
96. 28766 64.4% 35.6% (+28.8)#96 33.1% (+31.3)#3,790
97. 27829 64.1% 35.6% (+28.5)#97 33.1% (+31.0)#3,833
98. 27932 63.9% 35.6% (+28.2)#98 33.1% (+30.7)#3,861
99. 28901 63.7% 35.6% (+28.0)#99 33.1% (+30.5)#3,881
100. 28073 63.5% 35.6% (+27.9)#100 33.1% (+30.4)#3,920

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in North Carolina?
Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers 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 Single Mothers in North Carolina?
28701 has the Highest Poverty Level Among Single Mothers in North Carolina with 100.0%.
What is the Poverty Level Among Single Mothers in the State of North Carolina?
Poverty Level Among Single Mothers in North Carolina is 35.6%.
What is the Poverty Level Among Single Mothers in the United States?
Poverty Level Among Single Mothers in the United States is 33.1%.