Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Carolina

RELATED REPORTS & OPTIONS

Lowest Birth Rate | Below Poverty
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 Fewest Births per 1,000 Women Below Poverty Level in North Carolina

25.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Carolina Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Carolina

Zip Code Births / 1,000 Women vs State vs National
1. 27839 2.0 52.0 (-50.0)#1 53.0 (-51.0)#26
2. 28669 2.0 52.0 (-50.0)#2 53.0 (-51.0)#32
3. 28391 3.0 52.0 (-49.0)#3 53.0 (-50.0)#53
4. 27816 3.0 52.0 (-49.0)#4 53.0 (-50.0)#66
5. 27837 4.0 52.0 (-48.0)#5 53.0 (-49.0)#95
6. 28605 5.0 52.0 (-47.0)#6 53.0 (-48.0)#164
7. 28676 5.0 52.0 (-47.0)#7 53.0 (-48.0)#168
8. 27852 5.0 52.0 (-47.0)#8 53.0 (-48.0)#175
9. 27922 5.0 52.0 (-47.0)#9 53.0 (-48.0)#204
10. 27341 6.0 52.0 (-46.0)#10 53.0 (-47.0)#232
11. 27052 7.0 52.0 (-45.0)#11 53.0 (-46.0)#287
12. 27806 7.0 52.0 (-45.0)#12 53.0 (-46.0)#323
13. 27233 8.0 52.0 (-44.0)#13 53.0 (-45.0)#399
14. 28072 8.0 52.0 (-44.0)#14 53.0 (-45.0)#447
15. 28650 9.0 52.0 (-43.0)#15 53.0 (-44.0)#469
16. 27377 9.0 52.0 (-43.0)#16 53.0 (-44.0)#473
17. 27842 9.0 52.0 (-43.0)#17 53.0 (-44.0)#537
18. 27944 10.0 52.0 (-42.0)#18 53.0 (-43.0)#598
19. 28369 10.0 52.0 (-42.0)#19 53.0 (-43.0)#646
20. 28399 10.0 52.0 (-42.0)#20 53.0 (-43.0)#653
21. 28785 11.0 52.0 (-41.0)#21 53.0 (-42.0)#730
22. 28128 11.0 52.0 (-41.0)#22 53.0 (-42.0)#734
23. 27954 11.0 52.0 (-41.0)#23 53.0 (-42.0)#741
24. 27605 11.0 52.0 (-41.0)#24 53.0 (-42.0)#748
25. 28751 11.0 52.0 (-41.0)#25 53.0 (-42.0)#758
26. 27514 12.0 52.0 (-40.0)#26 53.0 (-41.0)#838
27. 28516 12.0 52.0 (-40.0)#27 53.0 (-41.0)#858
28. 28771 12.0 52.0 (-40.0)#28 53.0 (-41.0)#872
29. 27563 12.0 52.0 (-40.0)#29 53.0 (-41.0)#882
30. 28698 12.0 52.0 (-40.0)#30 53.0 (-41.0)#916
31. 28347 12.0 52.0 (-40.0)#31 53.0 (-41.0)#924
32. 28573 12.0 52.0 (-40.0)#32 53.0 (-41.0)#928
33. 27938 12.0 52.0 (-40.0)#33 53.0 (-41.0)#933
34. 27517 13.0 52.0 (-39.0)#34 53.0 (-40.0)#978
35. 28722 13.0 52.0 (-39.0)#35 53.0 (-40.0)#1,018
36. 27281 13.0 52.0 (-39.0)#36 53.0 (-40.0)#1,053
37. 28032 13.0 52.0 (-39.0)#37 53.0 (-40.0)#1,058
38. 28393 13.0 52.0 (-39.0)#38 53.0 (-40.0)#1,076
39. 27568 13.0 52.0 (-39.0)#39 53.0 (-40.0)#1,083
40. 28723 14.0 52.0 (-38.0)#40 53.0 (-39.0)#1,150
41. 27871 14.0 52.0 (-38.0)#41 53.0 (-39.0)#1,195
42. 28436 14.0 52.0 (-38.0)#42 53.0 (-39.0)#1,239
43. 28332 14.0 52.0 (-38.0)#43 53.0 (-39.0)#1,264
44. 28431 15.0 52.0 (-37.0)#44 53.0 (-38.0)#1,334
45. 28383 15.0 52.0 (-37.0)#45 53.0 (-38.0)#1,335
46. 27925 15.0 52.0 (-37.0)#46 53.0 (-38.0)#1,377
47. 28715 16.0 52.0 (-36.0)#47 53.0 (-37.0)#1,483
48. 28340 16.0 52.0 (-36.0)#48 53.0 (-37.0)#1,509
49. 27949 16.0 52.0 (-36.0)#49 53.0 (-37.0)#1,523
50. 27843 16.0 52.0 (-36.0)#50 53.0 (-37.0)#1,618
51. 28801 17.0 52.0 (-35.0)#51 53.0 (-36.0)#1,680
52. 28456 17.0 52.0 (-35.0)#52 53.0 (-36.0)#1,727
53. 28515 17.0 52.0 (-35.0)#53 53.0 (-36.0)#1,746
54. 27712 18.0 52.0 (-34.0)#54 53.0 (-35.0)#1,827
55. 27572 18.0 52.0 (-34.0)#55 53.0 (-35.0)#1,877
56. 27823 18.0 52.0 (-34.0)#56 53.0 (-35.0)#1,878
57. 28763 18.0 52.0 (-34.0)#57 53.0 (-35.0)#1,925
58. 27865 18.0 52.0 (-34.0)#58 53.0 (-35.0)#1,930
59. 27935 18.0 52.0 (-34.0)#59 53.0 (-35.0)#1,952
60. 27801 19.0 52.0 (-33.0)#60 53.0 (-34.0)#2,028
61. 27803 19.0 52.0 (-33.0)#61 53.0 (-34.0)#2,029
62. 28327 19.0 52.0 (-33.0)#62 53.0 (-34.0)#2,031
63. 27510 19.0 52.0 (-33.0)#63 53.0 (-34.0)#2,041
64. 28204 19.0 52.0 (-33.0)#64 53.0 (-34.0)#2,060
65. 27310 19.0 52.0 (-33.0)#65 53.0 (-34.0)#2,064
66. 27851 19.0 52.0 (-33.0)#66 53.0 (-34.0)#2,089
67. 27830 19.0 52.0 (-33.0)#67 53.0 (-34.0)#2,103
68. 27929 19.0 52.0 (-33.0)#68 53.0 (-34.0)#2,112
69. 28626 19.0 52.0 (-33.0)#69 53.0 (-34.0)#2,118
70. 28343 19.0 52.0 (-33.0)#70 53.0 (-34.0)#2,138
71. 27014 19.0 52.0 (-33.0)#71 53.0 (-34.0)#2,174
72. 28786 20.0 52.0 (-32.0)#72 53.0 (-33.0)#2,219
73. 28168 20.0 52.0 (-32.0)#73 53.0 (-33.0)#2,248
74. 28207 20.0 52.0 (-32.0)#74 53.0 (-33.0)#2,253
75. 27209 20.0 52.0 (-32.0)#75 53.0 (-33.0)#2,294
76. 28512 20.0 52.0 (-32.0)#76 53.0 (-33.0)#2,313
77. 27704 21.0 52.0 (-31.0)#77 53.0 (-32.0)#2,429
78. 28607 21.0 52.0 (-31.0)#78 53.0 (-32.0)#2,432
79. 28401 21.0 52.0 (-31.0)#79 53.0 (-32.0)#2,455
80. 28472 21.0 52.0 (-31.0)#80 53.0 (-32.0)#2,465
81. 28016 21.0 52.0 (-31.0)#81 53.0 (-32.0)#2,480
82. 27248 21.0 52.0 (-31.0)#82 53.0 (-32.0)#2,547
83. 28318 21.0 52.0 (-31.0)#83 53.0 (-32.0)#2,551
84. 27883 21.0 52.0 (-31.0)#84 53.0 (-32.0)#2,557
85. 28544 22.0 52.0 (-30.0)#85 53.0 (-31.0)#2,760
86. 28651 22.0 52.0 (-30.0)#86 53.0 (-31.0)#2,763
87. 27986 22.0 52.0 (-30.0)#87 53.0 (-31.0)#2,810
88. 27616 23.0 52.0 (-29.0)#88 53.0 (-30.0)#2,901
89. 28405 23.0 52.0 (-29.0)#89 53.0 (-30.0)#2,917
90. 28320 23.0 52.0 (-29.0)#90 53.0 (-30.0)#3,000
91. 27018 23.0 52.0 (-29.0)#91 53.0 (-30.0)#3,004
92. 28341 23.0 52.0 (-29.0)#92 53.0 (-30.0)#3,055
93. 27705 24.0 52.0 (-28.0)#93 53.0 (-29.0)#3,145
94. 27896 24.0 52.0 (-28.0)#94 53.0 (-29.0)#3,189
95. 28203 24.0 52.0 (-28.0)#95 53.0 (-29.0)#3,195
96. 28730 24.0 52.0 (-28.0)#96 53.0 (-29.0)#3,241
97. 28356 24.0 52.0 (-28.0)#97 53.0 (-29.0)#3,260
98. 27229 24.0 52.0 (-28.0)#98 53.0 (-29.0)#3,292
99. 28438 24.0 52.0 (-28.0)#99 53.0 (-29.0)#3,340
100. 28690 25.0 52.0 (-27.0)#100 53.0 (-28.0)#3,504

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Carolina?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Carolina are:
#1
2.0
#2
2.0
#3
3.0
#4
3.0
#5
4.0
#6
5.0
#7
5.0
#8
5.0
#9
5.0
#10
6.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in North Carolina?
27839 has the Fewest Births per 1,000 Women Below Poverty Level in North Carolina with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of North Carolina?
Number of Births per 1,000 Women Below Poverty Level in North Carolina is 52.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.