Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Carolina

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Lowest Birth Rate | Women 35+
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 Over the Age of 35 in North Carolina

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Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Carolina Map

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Carolina

Zip Code Births / 1,000 Women vs State vs National
1. 28716 2.0 27.0 (-25.0)#1 32.0 (-30.0)#65
2. 28609 2.0 27.0 (-25.0)#2 32.0 (-30.0)#95
3. 27306 2.0 27.0 (-25.0)#3 32.0 (-30.0)#96
4. 27830 2.0 27.0 (-25.0)#4 32.0 (-30.0)#108
5. 28472 3.0 27.0 (-24.0)#5 32.0 (-29.0)#142
6. 28904 3.0 27.0 (-24.0)#6 32.0 (-29.0)#171
7. 28337 3.0 27.0 (-24.0)#7 32.0 (-29.0)#180
8. 28715 4.0 27.0 (-23.0)#8 32.0 (-28.0)#243
9. 27932 4.0 27.0 (-23.0)#9 32.0 (-28.0)#306
10. 28638 4.0 27.0 (-23.0)#10 32.0 (-28.0)#315
11. 28513 4.0 27.0 (-23.0)#11 32.0 (-28.0)#324
12. 28590 5.0 27.0 (-22.0)#12 32.0 (-27.0)#416
13. 27288 5.0 27.0 (-22.0)#13 32.0 (-27.0)#428
14. 28659 5.0 27.0 (-22.0)#14 32.0 (-27.0)#439
15. 28504 5.0 27.0 (-22.0)#15 32.0 (-27.0)#442
16. 28714 5.0 27.0 (-22.0)#16 32.0 (-27.0)#467
17. 28445 5.0 27.0 (-22.0)#17 32.0 (-27.0)#501
18. 28562 6.0 27.0 (-21.0)#18 32.0 (-26.0)#589
19. 27534 6.0 27.0 (-21.0)#19 32.0 (-26.0)#605
20. 27455 6.0 27.0 (-21.0)#20 32.0 (-26.0)#610
21. 28120 6.0 27.0 (-21.0)#21 32.0 (-26.0)#631
22. 27101 6.0 27.0 (-21.0)#22 32.0 (-26.0)#641
23. 28320 6.0 27.0 (-21.0)#23 32.0 (-26.0)#721
24. 28056 7.0 27.0 (-20.0)#24 32.0 (-25.0)#794
25. 28574 7.0 27.0 (-20.0)#25 32.0 (-25.0)#842
26. 27524 7.0 27.0 (-20.0)#26 32.0 (-25.0)#877
27. 28721 7.0 27.0 (-20.0)#27 32.0 (-25.0)#897
28. 27018 7.0 27.0 (-20.0)#28 32.0 (-25.0)#918
29. 27962 7.0 27.0 (-20.0)#29 32.0 (-25.0)#923
30. 27610 8.0 27.0 (-19.0)#30 32.0 (-24.0)#997
31. 28412 8.0 27.0 (-19.0)#31 32.0 (-24.0)#1,016
32. 28208 8.0 27.0 (-19.0)#32 32.0 (-24.0)#1,023
33. 27576 8.0 27.0 (-19.0)#33 32.0 (-24.0)#1,086
34. 28372 8.0 27.0 (-19.0)#34 32.0 (-24.0)#1,143
35. 28170 8.0 27.0 (-19.0)#35 32.0 (-24.0)#1,166
36. 27048 8.0 27.0 (-19.0)#36 32.0 (-24.0)#1,181
37. 27852 8.0 27.0 (-19.0)#37 32.0 (-24.0)#1,253
38. 28395 8.0 27.0 (-19.0)#38 32.0 (-24.0)#1,255
39. 27103 9.0 27.0 (-18.0)#39 32.0 (-23.0)#1,303
40. 28358 9.0 27.0 (-18.0)#40 32.0 (-23.0)#1,307
41. 27514 9.0 27.0 (-18.0)#41 32.0 (-23.0)#1,310
42. 28144 9.0 27.0 (-18.0)#42 32.0 (-23.0)#1,322
43. 27701 9.0 27.0 (-18.0)#43 32.0 (-23.0)#1,334
44. 28301 9.0 27.0 (-18.0)#44 32.0 (-23.0)#1,382
45. 27298 9.0 27.0 (-18.0)#45 32.0 (-23.0)#1,405
46. 27377 9.0 27.0 (-18.0)#46 32.0 (-23.0)#1,422
47. 28207 9.0 27.0 (-18.0)#47 32.0 (-23.0)#1,427
48. 28025 10.0 27.0 (-17.0)#48 32.0 (-22.0)#1,545
49. 27407 10.0 27.0 (-17.0)#49 32.0 (-22.0)#1,549
50. 28146 10.0 27.0 (-17.0)#50 32.0 (-22.0)#1,592
51. 27565 10.0 27.0 (-17.0)#51 32.0 (-22.0)#1,610
52. 28379 10.0 27.0 (-17.0)#52 32.0 (-22.0)#1,619
53. 27403 10.0 27.0 (-17.0)#53 32.0 (-22.0)#1,642
54. 28557 10.0 27.0 (-17.0)#54 32.0 (-22.0)#1,661
55. 27376 10.0 27.0 (-17.0)#55 32.0 (-22.0)#1,703
56. 28394 10.0 27.0 (-17.0)#56 32.0 (-22.0)#1,741
57. 27871 10.0 27.0 (-17.0)#57 32.0 (-22.0)#1,760
58. 27616 11.0 27.0 (-16.0)#58 32.0 (-21.0)#1,820
59. 27617 11.0 27.0 (-16.0)#59 32.0 (-21.0)#1,907
60. 28016 11.0 27.0 (-16.0)#60 32.0 (-21.0)#1,943
61. 28470 11.0 27.0 (-16.0)#61 32.0 (-21.0)#1,965
62. 28516 11.0 27.0 (-16.0)#62 32.0 (-21.0)#1,966
63. 28340 11.0 27.0 (-16.0)#63 32.0 (-21.0)#1,975
64. 28605 11.0 27.0 (-16.0)#64 32.0 (-21.0)#2,056
65. 27844 11.0 27.0 (-16.0)#65 32.0 (-21.0)#2,063
66. 27568 11.0 27.0 (-16.0)#66 32.0 (-21.0)#2,096
67. 27704 12.0 27.0 (-15.0)#67 32.0 (-20.0)#2,130
68. 27614 12.0 27.0 (-15.0)#68 32.0 (-20.0)#2,147
69. 27886 12.0 27.0 (-15.0)#69 32.0 (-20.0)#2,226
70. 27856 12.0 27.0 (-15.0)#70 32.0 (-20.0)#2,237
71. 28584 12.0 27.0 (-15.0)#71 32.0 (-20.0)#2,253
72. 27510 12.0 27.0 (-15.0)#72 32.0 (-20.0)#2,254
73. 28360 12.0 27.0 (-15.0)#73 32.0 (-20.0)#2,258
74. 27958 12.0 27.0 (-15.0)#74 32.0 (-20.0)#2,267
75. 27313 12.0 27.0 (-15.0)#75 32.0 (-20.0)#2,315
76. 28722 12.0 27.0 (-15.0)#76 32.0 (-20.0)#2,323
77. 28544 12.0 27.0 (-15.0)#77 32.0 (-20.0)#2,327
78. 27834 13.0 27.0 (-14.0)#78 32.0 (-19.0)#2,407
79. 27105 13.0 27.0 (-14.0)#79 32.0 (-19.0)#2,420
80. 27530 13.0 27.0 (-14.0)#80 32.0 (-19.0)#2,428
81. 28803 13.0 27.0 (-14.0)#81 32.0 (-19.0)#2,438
82. 28734 13.0 27.0 (-14.0)#82 32.0 (-19.0)#2,459
83. 28401 13.0 27.0 (-14.0)#83 32.0 (-19.0)#2,494
84. 27536 13.0 27.0 (-14.0)#84 32.0 (-19.0)#2,536
85. 27370 13.0 27.0 (-14.0)#85 32.0 (-19.0)#2,542
86. 28711 13.0 27.0 (-14.0)#86 32.0 (-19.0)#2,554
87. 28460 13.0 27.0 (-14.0)#87 32.0 (-19.0)#2,562
88. 28168 13.0 27.0 (-14.0)#88 32.0 (-19.0)#2,570
89. 28657 13.0 27.0 (-14.0)#89 32.0 (-19.0)#2,586
90. 28339 13.0 27.0 (-14.0)#90 32.0 (-19.0)#2,598
91. 28129 13.0 27.0 (-14.0)#91 32.0 (-19.0)#2,606
92. 28743 13.0 27.0 (-14.0)#92 32.0 (-19.0)#2,664
93. 28677 14.0 27.0 (-13.0)#93 32.0 (-18.0)#2,731
94. 28405 14.0 27.0 (-13.0)#94 32.0 (-18.0)#2,741
95. 28326 14.0 27.0 (-13.0)#95 32.0 (-18.0)#2,775
96. 27712 14.0 27.0 (-13.0)#96 32.0 (-18.0)#2,788
97. 28043 14.0 27.0 (-13.0)#97 32.0 (-18.0)#2,797
98. 27401 14.0 27.0 (-13.0)#98 32.0 (-18.0)#2,798
99. 28712 14.0 27.0 (-13.0)#99 32.0 (-18.0)#2,799
100. 27518 14.0 27.0 (-13.0)#100 32.0 (-18.0)#2,804

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Carolina?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Carolina are:
#1
2.0
#2
2.0
#3
2.0
#4
2.0
#5
3.0
#6
3.0
#7
3.0
#8
4.0
#9
4.0
#10
4.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in North Carolina?
28716 has the Fewest Births per 1,000 Women Over the Age of 35 in North Carolina with 2.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of North Carolina?
Number of Births per 1,000 Women Over the Age of 35 in North Carolina is 27.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.