Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina

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Highest Birth Rate | In Labor Force
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 in Labor Force in North Carolina

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina

Zip Code Births / 1,000 Women vs State vs National
1. 28447 1,000.0 46.0 (+954)#1 48.0 (+952)#1
2. 27202 1,000.0 46.0 (+954)#2 48.0 (+952)#37
3. 28663 547.0 46.0 (+501)#3 48.0 (+499)#136
4. 27972 489.0 46.0 (+443)#4 48.0 (+441)#180
5. 27897 390.0 46.0 (+344)#5 48.0 (+342)#273
6. 27820 383.0 46.0 (+337)#6 48.0 (+335)#286
7. 28702 364.0 46.0 (+318)#7 48.0 (+316)#319
8. 28375 333.0 46.0 (+287)#8 48.0 (+285)#386
9. 28665 307.0 46.0 (+261)#9 48.0 (+259)#449
10. 27853 292.0 46.0 (+246)#10 48.0 (+244)#489
11. 27890 280.0 46.0 (+234)#11 48.0 (+232)#534
12. 28434 276.0 46.0 (+230)#12 48.0 (+228)#554
13. 27846 257.0 46.0 (+211)#13 48.0 (+209)#625
14. 28392 246.0 46.0 (+200)#14 48.0 (+198)#678
15. 28606 243.0 46.0 (+197)#15 48.0 (+195)#696
16. 27553 241.0 46.0 (+195)#16 48.0 (+193)#707
17. 28542 222.0 46.0 (+176)#17 48.0 (+174)#811
18. 28169 222.0 46.0 (+176)#18 48.0 (+174)#824
19. 28617 220.0 46.0 (+174)#19 48.0 (+172)#831
20. 28469 217.0 46.0 (+171)#20 48.0 (+169)#852
21. 28430 209.0 46.0 (+163)#21 48.0 (+161)#917
22. 28439 202.0 46.0 (+156)#22 48.0 (+154)#974
23. 28683 196.0 46.0 (+150)#23 48.0 (+148)#1,048
24. 28627 183.0 46.0 (+137)#24 48.0 (+135)#1,178
25. 28119 171.0 46.0 (+125)#25 48.0 (+123)#1,321
26. 27983 165.0 46.0 (+119)#26 48.0 (+117)#1,414
27. 28020 163.0 46.0 (+117)#27 48.0 (+115)#1,442
28. 28501 162.0 46.0 (+116)#28 48.0 (+114)#1,456
29. 27325 160.0 46.0 (+114)#29 48.0 (+112)#1,487
30. 28756 158.0 46.0 (+112)#30 48.0 (+110)#1,532
31. 28649 156.0 46.0 (+110)#31 48.0 (+108)#1,572
32. 27825 156.0 46.0 (+110)#32 48.0 (+108)#1,585
33. 28905 155.0 46.0 (+109)#33 48.0 (+107)#1,591
34. 27974 150.0 46.0 (+104)#34 48.0 (+102)#1,682
35. 28634 149.0 46.0 (+103)#35 48.0 (+101)#1,693
36. 27252 148.0 46.0 (+102)#36 48.0 (+100.0)#1,719
37. 28685 147.0 46.0 (+101)#37 48.0 (+99.0)#1,742
38. 28091 146.0 46.0 (+100.0)#38 48.0 (+98.0)#1,766
39. 27555 143.0 46.0 (+97.0)#39 48.0 (+95.0)#1,836
40. 28643 142.0 46.0 (+96.0)#40 48.0 (+94.0)#1,863
41. 27007 137.0 46.0 (+91.0)#41 48.0 (+89.0)#1,993
42. 27958 135.0 46.0 (+89.0)#42 48.0 (+87.0)#2,039
43. 27316 135.0 46.0 (+89.0)#43 48.0 (+87.0)#2,043
44. 28043 133.0 46.0 (+87.0)#44 48.0 (+85.0)#2,087
45. 28103 133.0 46.0 (+87.0)#45 48.0 (+85.0)#2,092
46. 27882 127.0 46.0 (+81.0)#46 48.0 (+79.0)#2,270
47. 27051 126.0 46.0 (+80.0)#47 48.0 (+78.0)#2,314
48. 27962 124.0 46.0 (+78.0)#48 48.0 (+76.0)#2,387
49. 28464 121.0 46.0 (+75.0)#49 48.0 (+73.0)#2,489
50. 27932 120.0 46.0 (+74.0)#50 48.0 (+72.0)#2,507
51. 27874 120.0 46.0 (+74.0)#51 48.0 (+72.0)#2,516
52. 28580 118.0 46.0 (+72.0)#52 48.0 (+70.0)#2,585
53. 28420 114.0 46.0 (+68.0)#53 48.0 (+66.0)#2,765
54. 27551 114.0 46.0 (+68.0)#54 48.0 (+66.0)#2,770
55. 27818 113.0 46.0 (+67.0)#55 48.0 (+65.0)#2,816
56. 28396 111.0 46.0 (+65.0)#56 48.0 (+63.0)#2,899
57. 28382 110.0 46.0 (+64.0)#57 48.0 (+62.0)#2,953
58. 27544 110.0 46.0 (+64.0)#58 48.0 (+62.0)#2,956
59. 28465 105.0 46.0 (+59.0)#59 48.0 (+57.0)#3,197
60. 27589 104.0 46.0 (+58.0)#60 48.0 (+56.0)#3,262
61. 27910 101.0 46.0 (+55.0)#61 48.0 (+53.0)#3,440
62. 28901 100.0 46.0 (+54.0)#62 48.0 (+52.0)#3,502
63. 28658 99.0 46.0 (+53.0)#63 48.0 (+51.0)#3,556
64. 28345 99.0 46.0 (+53.0)#64 48.0 (+51.0)#3,561
65. 28513 99.0 46.0 (+53.0)#65 48.0 (+51.0)#3,563
66. 28323 99.0 46.0 (+53.0)#66 48.0 (+51.0)#3,577
67. 28463 98.0 46.0 (+52.0)#67 48.0 (+50.0)#3,639
68. 27976 98.0 46.0 (+52.0)#68 48.0 (+50.0)#3,647
69. 28166 97.0 46.0 (+51.0)#69 48.0 (+49.0)#3,699
70. 27923 95.0 46.0 (+49.0)#70 48.0 (+47.0)#3,876
71. 27502 93.0 46.0 (+47.0)#71 48.0 (+45.0)#3,959
72. 28147 93.0 46.0 (+47.0)#72 48.0 (+45.0)#3,965
73. 28432 93.0 46.0 (+47.0)#73 48.0 (+45.0)#4,011
74. 27344 91.0 46.0 (+45.0)#74 48.0 (+43.0)#4,115
75. 28458 91.0 46.0 (+45.0)#75 48.0 (+43.0)#4,134
76. 28167 90.0 46.0 (+44.0)#76 48.0 (+42.0)#4,262
77. 27849 90.0 46.0 (+44.0)#77 48.0 (+42.0)#4,277
78. 28612 89.0 46.0 (+43.0)#78 48.0 (+41.0)#4,317
79. 28642 89.0 46.0 (+43.0)#79 48.0 (+41.0)#4,337
80. 28086 88.0 46.0 (+42.0)#80 48.0 (+40.0)#4,398
81. 28012 88.0 46.0 (+42.0)#81 48.0 (+40.0)#4,401
82. 28753 88.0 46.0 (+42.0)#82 48.0 (+40.0)#4,419
83. 28518 88.0 46.0 (+42.0)#83 48.0 (+40.0)#4,422
84. 28742 88.0 46.0 (+42.0)#84 48.0 (+40.0)#4,446
85. 27886 87.0 46.0 (+41.0)#85 48.0 (+39.0)#4,508
86. 28783 87.0 46.0 (+41.0)#86 48.0 (+39.0)#4,568
87. 28429 86.0 46.0 (+40.0)#87 48.0 (+38.0)#4,622
88. 27921 86.0 46.0 (+40.0)#88 48.0 (+38.0)#4,636
89. 28732 85.0 46.0 (+39.0)#89 48.0 (+37.0)#4,708
90. 28164 85.0 46.0 (+39.0)#90 48.0 (+37.0)#4,714
91. 27581 85.0 46.0 (+39.0)#91 48.0 (+37.0)#4,749
92. 28547 82.0 46.0 (+36.0)#92 48.0 (+34.0)#5,019
93. 27301 82.0 46.0 (+36.0)#93 48.0 (+34.0)#5,048
94. 28538 82.0 46.0 (+36.0)#94 48.0 (+34.0)#5,091
95. 28540 81.0 46.0 (+35.0)#95 48.0 (+33.0)#5,127
96. 28021 81.0 46.0 (+35.0)#96 48.0 (+33.0)#5,171
97. 27577 80.0 46.0 (+34.0)#97 48.0 (+32.0)#5,251
98. 28134 80.0 46.0 (+34.0)#98 48.0 (+32.0)#5,274
99. 27608 80.0 46.0 (+34.0)#99 48.0 (+32.0)#5,276
100. 28457 80.0 46.0 (+34.0)#100 48.0 (+32.0)#5,277

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina are:
#1
1,000.0
#2
1,000.0
#3
547.0
#4
489.0
#5
390.0
#6
383.0
#7
364.0
#8
333.0
#9
307.0
#10
292.0
What zip code has the Most Births per 1,000 Women in Labor Force in North Carolina?
28447 has the Most Births per 1,000 Women in Labor Force in North Carolina with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of North Carolina?
Number of Births per 1,000 Women in Labor Force in North Carolina is 46.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.