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

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Highest 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 Most Births per 1,000 Women Over the Age of 35 in North Carolina

0.0
800.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in North Carolina Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 27259 625.0 27.0 (+598)#1 32.0 (+593)#60
2. 27820 451.0 27.0 (+424)#2 32.0 (+419)#115
3. 28542 314.0 27.0 (+287)#3 32.0 (+282)#209
4. 27553 292.0 27.0 (+265)#4 32.0 (+260)#235
5. 28392 267.0 27.0 (+240)#5 32.0 (+235)#280
6. 28430 201.0 27.0 (+174)#6 32.0 (+169)#466
7. 27544 200.0 27.0 (+173)#7 32.0 (+168)#469
8. 28511 175.0 27.0 (+148)#8 32.0 (+143)#616
9. 28649 162.0 27.0 (+135)#9 32.0 (+130)#710
10. 28090 151.0 27.0 (+124)#10 32.0 (+119)#804
11. 28627 142.0 27.0 (+115)#11 32.0 (+110)#888
12. 28166 135.0 27.0 (+108)#12 32.0 (+103)#949
13. 27013 132.0 27.0 (+105)#13 32.0 (+100.0)#992
14. 28682 131.0 27.0 (+104)#14 32.0 (+99.0)#1,010
15. 28119 120.0 27.0 (+93.0)#15 32.0 (+88.0)#1,158
16. 28469 119.0 27.0 (+92.0)#16 32.0 (+87.0)#1,172
17. 27541 118.0 27.0 (+91.0)#17 32.0 (+86.0)#1,188
18. 27855 117.0 27.0 (+90.0)#18 32.0 (+85.0)#1,206
19. 28746 110.0 27.0 (+83.0)#19 32.0 (+78.0)#1,331
20. 28468 105.0 27.0 (+78.0)#20 32.0 (+73.0)#1,414
21. 28345 101.0 27.0 (+74.0)#21 32.0 (+69.0)#1,514
22. 28754 101.0 27.0 (+74.0)#22 32.0 (+69.0)#1,515
23. 28683 98.0 27.0 (+71.0)#23 32.0 (+66.0)#1,608
24. 28422 96.0 27.0 (+69.0)#24 32.0 (+64.0)#1,649
25. 28098 96.0 27.0 (+69.0)#25 32.0 (+64.0)#1,656
26. 27882 94.0 27.0 (+67.0)#26 32.0 (+62.0)#1,709
27. 28215 85.0 27.0 (+58.0)#27 32.0 (+53.0)#2,004
28. 28759 84.0 27.0 (+57.0)#28 32.0 (+52.0)#2,056
29. 28613 83.0 27.0 (+56.0)#29 32.0 (+51.0)#2,080
30. 27805 83.0 27.0 (+56.0)#30 32.0 (+51.0)#2,099
31. 28623 83.0 27.0 (+56.0)#31 32.0 (+51.0)#2,106
32. 28636 80.0 27.0 (+53.0)#32 32.0 (+48.0)#2,236
33. 27040 79.0 27.0 (+52.0)#33 32.0 (+47.0)#2,277
34. 27557 79.0 27.0 (+52.0)#34 32.0 (+47.0)#2,279
35. 27921 79.0 27.0 (+52.0)#35 32.0 (+47.0)#2,287
36. 28525 79.0 27.0 (+52.0)#36 32.0 (+47.0)#2,298
37. 27551 79.0 27.0 (+52.0)#37 32.0 (+47.0)#2,301
38. 28610 74.0 27.0 (+47.0)#38 32.0 (+42.0)#2,543
39. 28433 73.0 27.0 (+46.0)#39 32.0 (+41.0)#2,626
40. 28420 73.0 27.0 (+46.0)#40 32.0 (+41.0)#2,633
41. 27860 73.0 27.0 (+46.0)#41 32.0 (+41.0)#2,647
42. 28117 71.0 27.0 (+44.0)#42 32.0 (+39.0)#2,711
43. 27409 71.0 27.0 (+44.0)#43 32.0 (+39.0)#2,726
44. 28467 70.0 27.0 (+43.0)#44 32.0 (+38.0)#2,808
45. 27357 70.0 27.0 (+43.0)#45 32.0 (+38.0)#2,814
46. 28791 69.0 27.0 (+42.0)#46 32.0 (+37.0)#2,885
47. 28012 68.0 27.0 (+41.0)#47 32.0 (+36.0)#2,941
48. 28423 68.0 27.0 (+41.0)#48 32.0 (+36.0)#2,971
49. 27542 67.0 27.0 (+40.0)#49 32.0 (+35.0)#3,038
50. 28538 67.0 27.0 (+40.0)#50 32.0 (+35.0)#3,062
51. 28425 66.0 27.0 (+39.0)#51 32.0 (+34.0)#3,125
52. 27597 65.0 27.0 (+38.0)#52 32.0 (+33.0)#3,184
53. 27546 65.0 27.0 (+38.0)#53 32.0 (+33.0)#3,192
54. 27976 65.0 27.0 (+38.0)#54 32.0 (+33.0)#3,233
55. 28357 65.0 27.0 (+38.0)#55 32.0 (+33.0)#3,244
56. 28080 63.0 27.0 (+36.0)#56 32.0 (+31.0)#3,396
57. 28133 63.0 27.0 (+36.0)#57 32.0 (+31.0)#3,424
58. 27525 62.0 27.0 (+35.0)#58 32.0 (+30.0)#3,482
59. 28756 62.0 27.0 (+35.0)#59 32.0 (+30.0)#3,515
60. 28338 62.0 27.0 (+35.0)#60 32.0 (+30.0)#3,520
61. 27607 61.0 27.0 (+34.0)#61 32.0 (+29.0)#3,573
62. 27344 61.0 27.0 (+34.0)#62 32.0 (+29.0)#3,583
63. 27948 61.0 27.0 (+34.0)#63 32.0 (+29.0)#3,593
64. 28782 61.0 27.0 (+34.0)#64 32.0 (+29.0)#3,606
65. 27889 60.0 27.0 (+33.0)#65 32.0 (+28.0)#3,660
66. 27355 60.0 27.0 (+33.0)#66 32.0 (+28.0)#3,705
67. 28396 60.0 27.0 (+33.0)#67 32.0 (+28.0)#3,709
68. 28518 59.0 27.0 (+32.0)#68 32.0 (+27.0)#3,794
69. 28640 59.0 27.0 (+32.0)#69 32.0 (+27.0)#3,798
70. 28462 58.0 27.0 (+31.0)#70 32.0 (+26.0)#3,893
71. 28212 57.0 27.0 (+30.0)#71 32.0 (+25.0)#3,958
72. 28211 57.0 27.0 (+30.0)#72 32.0 (+25.0)#3,973
73. 28586 56.0 27.0 (+29.0)#73 32.0 (+24.0)#4,140
74. 28571 56.0 27.0 (+29.0)#74 32.0 (+24.0)#4,160
75. 27104 55.0 27.0 (+28.0)#75 32.0 (+23.0)#4,221
76. 28428 55.0 27.0 (+28.0)#76 32.0 (+23.0)#4,273
77. 27207 55.0 27.0 (+28.0)#77 32.0 (+23.0)#4,292
78. 27278 54.0 27.0 (+27.0)#78 32.0 (+22.0)#4,343
79. 27203 53.0 27.0 (+26.0)#79 32.0 (+21.0)#4,472
80. 27983 53.0 27.0 (+26.0)#80 32.0 (+21.0)#4,514
81. 27909 52.0 27.0 (+25.0)#81 32.0 (+20.0)#4,578
82. 28112 52.0 27.0 (+25.0)#82 32.0 (+20.0)#4,604
83. 28560 51.0 27.0 (+24.0)#83 32.0 (+19.0)#4,734
84. 28344 51.0 27.0 (+24.0)#84 32.0 (+19.0)#4,783
85. 28071 51.0 27.0 (+24.0)#85 32.0 (+19.0)#4,792
86. 28328 50.0 27.0 (+23.0)#86 32.0 (+18.0)#4,874
87. 28779 50.0 27.0 (+23.0)#87 32.0 (+18.0)#4,898
88. 27910 50.0 27.0 (+23.0)#88 32.0 (+18.0)#4,922
89. 28465 50.0 27.0 (+23.0)#89 32.0 (+18.0)#4,929
90. 27583 50.0 27.0 (+23.0)#90 32.0 (+18.0)#4,930
91. 27605 50.0 27.0 (+23.0)#91 32.0 (+18.0)#4,933
92. 28618 50.0 27.0 (+23.0)#92 32.0 (+18.0)#4,961
93. 28210 49.0 27.0 (+22.0)#93 32.0 (+17.0)#5,011
94. 28732 49.0 27.0 (+22.0)#94 32.0 (+17.0)#5,082
95. 28365 49.0 27.0 (+22.0)#95 32.0 (+17.0)#5,089
96. 28227 48.0 27.0 (+21.0)#96 32.0 (+16.0)#5,159
97. 27516 48.0 27.0 (+21.0)#97 32.0 (+16.0)#5,172
98. 27295 48.0 27.0 (+21.0)#98 32.0 (+16.0)#5,183
99. 27606 47.0 27.0 (+20.0)#99 32.0 (+15.0)#5,331
100. 28374 47.0 27.0 (+20.0)#100 32.0 (+15.0)#5,382

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in North Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in North Carolina are:
#1
625.0
#2
451.0
#3
314.0
#4
292.0
#5
267.0
#6
201.0
#7
200.0
#8
175.0
#9
162.0
#10
151.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in North Carolina?
27259 has the Most Births per 1,000 Women Over the Age of 35 in North Carolina with 625.0.
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.