Zip Codes with the Highest Female Poverty Level in North Carolina

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Highest Poverty | Female
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 Female Poverty Level in North Carolina

20.0%
100.0%
Zip Codes with the Highest Female Poverty Level in North Carolina Map

Zip Codes with the Highest Female Poverty Level in North Carolina

Zip Code Female Poverty vs State vs National
1. 27202 100.0% 14.6% (+85.4)#1 13.7% (+86.3)#43
2. 28641 100.0% 14.6% (+85.4)#2 13.7% (+86.3)#61
3. 28024 100.0% 14.6% (+85.4)#3 13.7% (+86.3)#77
4. 28041 100.0% 14.6% (+85.4)#4 13.7% (+86.3)#107
5. 28331 89.2% 14.6% (+74.6)#5 13.7% (+75.5)#129
6. 27340 73.3% 14.6% (+58.7)#6 13.7% (+59.6)#208
7. 27819 73.2% 14.6% (+58.6)#7 13.7% (+59.5)#209
8. 27824 68.2% 14.6% (+53.6)#8 13.7% (+54.5)#257
9. 27969 61.1% 14.6% (+46.5)#9 13.7% (+47.4)#356
10. 27584 60.6% 14.6% (+46.0)#10 13.7% (+46.9)#368
11. 27917 57.0% 14.6% (+42.4)#11 13.7% (+43.3)#448
12. 28102 54.5% 14.6% (+40.0)#12 13.7% (+40.8)#505
13. 27861 54.5% 14.6% (+40.0)#13 13.7% (+40.8)#506
14. 28042 54.3% 14.6% (+39.7)#14 13.7% (+40.6)#516
15. 28039 52.4% 14.6% (+37.8)#15 13.7% (+38.7)#570
16. 28631 51.9% 14.6% (+37.3)#16 13.7% (+38.2)#590
17. 28578 51.5% 14.6% (+36.9)#17 13.7% (+37.8)#601
18. 28330 49.2% 14.6% (+34.6)#18 13.7% (+35.5)#696
19. 28708 45.0% 14.6% (+30.4)#19 13.7% (+31.3)#900
20. 27242 43.1% 14.6% (+28.5)#20 13.7% (+29.4)#1,008
21. 28367 42.3% 14.6% (+27.7)#21 13.7% (+28.6)#1,074
22. 27374 41.8% 14.6% (+27.2)#22 13.7% (+28.1)#1,104
23. 28519 41.4% 14.6% (+26.8)#23 13.7% (+27.7)#1,135
24. 27942 41.3% 14.6% (+26.7)#24 13.7% (+27.6)#1,138
25. 28386 40.8% 14.6% (+26.2)#25 13.7% (+27.1)#1,181
26. 28553 40.2% 14.6% (+25.6)#26 13.7% (+26.5)#1,226
27. 28508 39.9% 14.6% (+25.4)#27 13.7% (+26.2)#1,246
28. 28077 39.6% 14.6% (+25.0)#28 13.7% (+25.9)#1,279
29. 28076 39.2% 14.6% (+24.6)#29 13.7% (+25.5)#1,312
30. 28452 38.3% 14.6% (+23.7)#30 13.7% (+24.6)#1,404
31. 27825 37.7% 14.6% (+23.1)#31 13.7% (+24.0)#1,460
32. 28333 37.7% 14.6% (+23.1)#32 13.7% (+24.0)#1,464
33. 27209 37.6% 14.6% (+23.0)#33 13.7% (+23.9)#1,468
34. 28431 37.1% 14.6% (+22.5)#34 13.7% (+23.4)#1,521
35. 28447 36.7% 14.6% (+22.1)#35 13.7% (+23.0)#1,576
36. 28341 36.1% 14.6% (+21.5)#36 13.7% (+22.4)#1,650
37. 27573 36.0% 14.6% (+21.4)#37 13.7% (+22.3)#1,663
38. 28301 35.8% 14.6% (+21.2)#38 13.7% (+22.1)#1,702
39. 28617 35.5% 14.6% (+20.9)#39 13.7% (+21.8)#1,735
40. 27890 35.5% 14.6% (+20.9)#40 13.7% (+21.8)#1,745
41. 27831 34.1% 14.6% (+19.5)#41 13.7% (+20.4)#1,982
42. 27953 34.0% 14.6% (+19.4)#42 13.7% (+20.3)#1,986
43. 28685 34.0% 14.6% (+19.4)#43 13.7% (+20.3)#1,998
44. 28340 33.9% 14.6% (+19.3)#44 13.7% (+20.2)#2,015
45. 27556 33.8% 14.6% (+19.2)#45 13.7% (+20.1)#2,022
46. 28392 33.7% 14.6% (+19.1)#46 13.7% (+20.0)#2,037
47. 28337 33.5% 14.6% (+18.9)#47 13.7% (+19.8)#2,075
48. 27873 33.3% 14.6% (+18.7)#48 13.7% (+19.6)#2,093
49. 27401 33.3% 14.6% (+18.7)#49 13.7% (+19.6)#2,117
50. 28377 33.2% 14.6% (+18.6)#50 13.7% (+19.5)#2,121
51. 28383 33.2% 14.6% (+18.6)#51 13.7% (+19.5)#2,134
52. 28347 33.0% 14.6% (+18.4)#52 13.7% (+19.3)#2,159
53. 27260 33.0% 14.6% (+18.4)#53 13.7% (+19.3)#2,161
54. 28607 32.9% 14.6% (+18.3)#54 13.7% (+19.2)#2,178
55. 28501 32.9% 14.6% (+18.3)#55 13.7% (+19.2)#2,185
56. 27879 32.8% 14.6% (+18.2)#56 13.7% (+19.1)#2,196
57. 28455 32.7% 14.6% (+18.1)#57 13.7% (+19.0)#2,217
58. 27823 32.4% 14.6% (+17.8)#58 13.7% (+18.7)#2,277
59. 28433 32.2% 14.6% (+17.6)#59 13.7% (+18.5)#2,316
60. 27847 31.9% 14.6% (+17.3)#60 13.7% (+18.2)#2,377
61. 27978 31.7% 14.6% (+17.1)#61 13.7% (+18.0)#2,417
62. 28073 31.5% 14.6% (+16.9)#62 13.7% (+17.8)#2,460
63. 27875 31.4% 14.6% (+16.8)#63 13.7% (+17.7)#2,470
64. 27105 31.3% 14.6% (+16.7)#64 13.7% (+17.6)#2,510
65. 27874 30.9% 14.6% (+16.3)#65 13.7% (+17.2)#2,595
66. 28478 30.9% 14.6% (+16.3)#66 13.7% (+17.2)#2,601
67. 27883 30.7% 14.6% (+16.1)#67 13.7% (+17.0)#2,650
68. 28464 30.7% 14.6% (+16.1)#68 13.7% (+17.0)#2,653
69. 28043 30.5% 14.6% (+15.9)#69 13.7% (+16.8)#2,677
70. 28463 30.4% 14.6% (+15.8)#70 13.7% (+16.7)#2,719
71. 28723 30.1% 14.6% (+15.5)#71 13.7% (+16.4)#2,793
72. 28384 30.1% 14.6% (+15.5)#72 13.7% (+16.4)#2,806
73. 28364 29.9% 14.6% (+15.3)#73 13.7% (+16.2)#2,850
74. 27343 29.6% 14.6% (+15.0)#74 13.7% (+15.9)#2,931
75. 28580 29.6% 14.6% (+15.0)#75 13.7% (+15.9)#2,933
76. 28206 29.5% 14.6% (+14.9)#76 13.7% (+15.8)#2,952
77. 27893 29.5% 14.6% (+14.9)#77 13.7% (+15.8)#2,953
78. 28352 29.4% 14.6% (+14.8)#78 13.7% (+15.7)#2,986
79. 27311 29.3% 14.6% (+14.7)#79 13.7% (+15.6)#2,992
80. 27536 29.3% 14.6% (+14.7)#80 13.7% (+15.6)#2,996
81. 28089 29.2% 14.6% (+14.6)#81 13.7% (+15.5)#3,039
82. 27843 29.1% 14.6% (+14.5)#82 13.7% (+15.4)#3,063
83. 28644 28.8% 14.6% (+14.2)#83 13.7% (+15.1)#3,149
84. 27405 28.8% 14.6% (+14.2)#84 13.7% (+15.1)#3,154
85. 28007 28.5% 14.6% (+13.9)#85 13.7% (+14.8)#3,217
86. 28587 28.2% 14.6% (+13.7)#86 13.7% (+14.5)#3,304
87. 27834 28.2% 14.6% (+13.6)#87 13.7% (+14.5)#3,317
88. 27589 28.2% 14.6% (+13.6)#88 13.7% (+14.5)#3,325
89. 28448 28.1% 14.6% (+13.5)#89 13.7% (+14.4)#3,333
90. 28358 28.0% 14.6% (+13.4)#90 13.7% (+14.3)#3,382
91. 28344 28.0% 14.6% (+13.4)#91 13.7% (+14.3)#3,387
92. 28441 27.9% 14.6% (+13.3)#92 13.7% (+14.2)#3,402
93. 28372 27.9% 14.6% (+13.3)#93 13.7% (+14.2)#3,412
94. 27828 27.8% 14.6% (+13.2)#94 13.7% (+14.1)#3,436
95. 28379 27.4% 14.6% (+12.8)#95 13.7% (+13.7)#3,552
96. 28905 27.3% 14.6% (+12.7)#96 13.7% (+13.6)#3,587
97. 27314 27.3% 14.6% (+12.7)#97 13.7% (+13.6)#3,592
98. 28365 27.1% 14.6% (+12.5)#98 13.7% (+13.4)#3,690
99. 27203 27.0% 14.6% (+12.4)#99 13.7% (+13.3)#3,695
100. 27563 27.0% 14.6% (+12.4)#100 13.7% (+13.3)#3,702

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in North Carolina?
Top 10 Zip Codes with the Highest Female Poverty Level in North Carolina are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
89.2%
#6
73.3%
#7
73.2%
#8
68.2%
#9
61.1%
#10
60.6%
What zip code has the Highest Female Poverty Level in North Carolina?
27202 has the Highest Female Poverty Level in North Carolina with 100.0%.
What is the Poverty Level Among Females in the State of North Carolina?
Poverty Level Among Females in North Carolina is 14.6%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.