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

RELATED REPORTS & OPTIONS

Highest 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 Most Births per 1,000 Women Below Poverty Level in North Carolina

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 28447 1,000.0 52.0 (+948)#1 53.0 (+947)#1
2. 27202 1,000.0 52.0 (+948)#2 53.0 (+947)#38
3. 27943 981.0 52.0 (+929)#3 53.0 (+928)#61
4. 27259 625.0 52.0 (+573)#4 53.0 (+572)#119
5. 28542 612.0 52.0 (+560)#5 53.0 (+559)#126
6. 27972 489.0 52.0 (+437)#6 53.0 (+436)#184
7. 28663 380.0 52.0 (+328)#7 53.0 (+327)#285
8. 27978 356.0 52.0 (+304)#8 53.0 (+303)#333
9. 27861 353.0 52.0 (+301)#9 53.0 (+300)#339
10. 27897 348.0 52.0 (+296)#10 53.0 (+295)#344
11. 28617 331.0 52.0 (+279)#11 53.0 (+278)#389
12. 28665 322.0 52.0 (+270)#12 53.0 (+269)#400
13. 27820 294.0 52.0 (+242)#13 53.0 (+241)#471
14. 27846 281.0 52.0 (+229)#14 53.0 (+228)#519
15. 27022 264.0 52.0 (+212)#15 53.0 (+211)#590
16. 28587 261.0 52.0 (+209)#16 53.0 (+208)#604
17. 28398 256.0 52.0 (+204)#17 53.0 (+203)#624
18. 28702 256.0 52.0 (+204)#18 53.0 (+203)#631
19. 28543 251.0 52.0 (+199)#19 53.0 (+198)#641
20. 28430 241.0 52.0 (+189)#20 53.0 (+188)#706
21. 28421 211.0 52.0 (+159)#21 53.0 (+158)#879
22. 28375 209.0 52.0 (+157)#22 53.0 (+156)#895
23. 28392 195.0 52.0 (+143)#23 53.0 (+142)#1,038
24. 27553 180.0 52.0 (+128)#24 53.0 (+127)#1,210
25. 27873 173.0 52.0 (+121)#25 53.0 (+120)#1,324
26. 28463 172.0 52.0 (+120)#26 53.0 (+119)#1,326
27. 28627 161.0 52.0 (+109)#27 53.0 (+108)#1,535
28. 28439 157.0 52.0 (+105)#28 53.0 (+104)#1,621
29. 28119 156.0 52.0 (+104)#29 53.0 (+103)#1,629
30. 27825 156.0 52.0 (+104)#30 53.0 (+103)#1,640
31. 28434 154.0 52.0 (+102)#31 53.0 (+101)#1,670
32. 28103 150.0 52.0 (+98.0)#32 53.0 (+97.0)#1,740
33. 28469 150.0 52.0 (+98.0)#33 53.0 (+97.0)#1,741
34. 28683 149.0 52.0 (+97.0)#34 53.0 (+96.0)#1,773
35. 28756 144.0 52.0 (+92.0)#35 53.0 (+91.0)#1,883
36. 28344 143.0 52.0 (+91.0)#36 53.0 (+90.0)#1,909
37. 27555 143.0 52.0 (+91.0)#37 53.0 (+90.0)#1,925
38. 28169 140.0 52.0 (+88.0)#38 53.0 (+87.0)#2,011
39. 27007 138.0 52.0 (+86.0)#39 53.0 (+85.0)#2,057
40. 28606 137.0 52.0 (+85.0)#40 53.0 (+84.0)#2,093
41. 28137 136.0 52.0 (+84.0)#41 53.0 (+83.0)#2,120
42. 27890 136.0 52.0 (+84.0)#42 53.0 (+83.0)#2,123
43. 27252 134.0 52.0 (+82.0)#43 53.0 (+81.0)#2,199
44. 27853 132.0 52.0 (+80.0)#44 53.0 (+79.0)#2,274
45. 28043 131.0 52.0 (+79.0)#45 53.0 (+78.0)#2,280
46. 28540 130.0 52.0 (+78.0)#46 53.0 (+77.0)#2,303
47. 28634 130.0 52.0 (+78.0)#47 53.0 (+77.0)#2,309
48. 28649 130.0 52.0 (+78.0)#48 53.0 (+77.0)#2,327
49. 28532 129.0 52.0 (+77.0)#49 53.0 (+76.0)#2,354
50. 27983 129.0 52.0 (+77.0)#50 53.0 (+76.0)#2,356
51. 28307 127.0 52.0 (+75.0)#51 53.0 (+74.0)#2,432
52. 28501 126.0 52.0 (+74.0)#52 53.0 (+73.0)#2,473
53. 28020 126.0 52.0 (+74.0)#53 53.0 (+73.0)#2,488
54. 27051 124.0 52.0 (+72.0)#54 53.0 (+71.0)#2,559
55. 28685 121.0 52.0 (+69.0)#55 53.0 (+68.0)#2,713
56. 27019 119.0 52.0 (+67.0)#56 53.0 (+66.0)#2,775
57. 28464 118.0 52.0 (+66.0)#57 53.0 (+65.0)#2,827
58. 28425 115.0 52.0 (+63.0)#58 53.0 (+62.0)#2,965
59. 27818 113.0 52.0 (+61.0)#59 53.0 (+60.0)#3,099
60. 28746 112.0 52.0 (+60.0)#60 53.0 (+59.0)#3,145
61. 28090 111.0 52.0 (+59.0)#61 53.0 (+58.0)#3,188
62. 28367 111.0 52.0 (+59.0)#62 53.0 (+58.0)#3,238
63. 27850 110.0 52.0 (+58.0)#63 53.0 (+57.0)#3,262
64. 28572 110.0 52.0 (+58.0)#64 53.0 (+57.0)#3,264
65. 28905 110.0 52.0 (+58.0)#65 53.0 (+57.0)#3,276
66. 28091 110.0 52.0 (+58.0)#66 53.0 (+57.0)#3,284
67. 27974 109.0 52.0 (+57.0)#67 53.0 (+56.0)#3,340
68. 27325 108.0 52.0 (+56.0)#68 53.0 (+55.0)#3,382
69. 27864 108.0 52.0 (+56.0)#69 53.0 (+55.0)#3,393
70. 28580 107.0 52.0 (+55.0)#70 53.0 (+54.0)#3,430
71. 28610 107.0 52.0 (+55.0)#71 53.0 (+54.0)#3,431
72. 28363 106.0 52.0 (+54.0)#72 53.0 (+53.0)#3,556
73. 27862 105.0 52.0 (+53.0)#73 53.0 (+52.0)#3,624
74. 27316 104.0 52.0 (+52.0)#74 53.0 (+51.0)#3,653
75. 28396 104.0 52.0 (+52.0)#75 53.0 (+51.0)#3,676
76. 27962 103.0 52.0 (+51.0)#76 53.0 (+50.0)#3,717
77. 27350 103.0 52.0 (+51.0)#77 53.0 (+50.0)#3,723
78. 28658 101.0 52.0 (+49.0)#78 53.0 (+48.0)#3,867
79. 28574 101.0 52.0 (+49.0)#79 53.0 (+48.0)#3,871
80. 27958 100.0 52.0 (+48.0)#80 53.0 (+47.0)#3,930
81. 27597 99.0 52.0 (+47.0)#81 53.0 (+46.0)#4,021
82. 28147 99.0 52.0 (+47.0)#82 53.0 (+46.0)#4,023
83. 28086 98.0 52.0 (+46.0)#83 53.0 (+45.0)#4,102
84. 27409 98.0 52.0 (+46.0)#84 53.0 (+45.0)#4,105
85. 28365 98.0 52.0 (+46.0)#85 53.0 (+45.0)#4,108
86. 28445 98.0 52.0 (+46.0)#86 53.0 (+45.0)#4,118
87. 28212 97.0 52.0 (+45.0)#87 53.0 (+44.0)#4,183
88. 28435 97.0 52.0 (+45.0)#88 53.0 (+44.0)#4,246
89. 28513 95.0 52.0 (+43.0)#89 53.0 (+42.0)#4,395
90. 27882 95.0 52.0 (+43.0)#90 53.0 (+42.0)#4,401
91. 28453 95.0 52.0 (+43.0)#91 53.0 (+42.0)#4,421
92. 28345 94.0 52.0 (+42.0)#92 53.0 (+41.0)#4,497
93. 27805 94.0 52.0 (+42.0)#93 53.0 (+41.0)#4,524
94. 27589 93.0 52.0 (+41.0)#94 53.0 (+40.0)#4,587
95. 27878 92.0 52.0 (+40.0)#95 53.0 (+39.0)#4,728
96. 28420 90.0 52.0 (+38.0)#96 53.0 (+37.0)#4,921
97. 27025 89.0 52.0 (+37.0)#97 53.0 (+36.0)#4,976
98. 28166 89.0 52.0 (+37.0)#98 53.0 (+36.0)#4,981
99. 27357 89.0 52.0 (+37.0)#99 53.0 (+36.0)#4,985
100. 27525 88.0 52.0 (+36.0)#100 53.0 (+35.0)#5,081

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Carolina are:
#1
1,000.0
#2
1,000.0
#3
981.0
#4
625.0
#5
612.0
#6
489.0
#7
380.0
#8
356.0
#9
353.0
#10
348.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in North Carolina?
28447 has the Most Births per 1,000 Women Below Poverty Level in North Carolina with 1,000.0.
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.