Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in South 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
South Carolina
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 29745 1.0 27.0 (-26.0)#1 32.0 (-31.0)#3
2. 29642 1.0 27.0 (-26.0)#2 32.0 (-31.0)#4
3. 29154 1.0 27.0 (-26.0)#3 32.0 (-31.0)#6
4. 29536 1.0 27.0 (-26.0)#4 32.0 (-31.0)#15
5. 29307 4.0 27.0 (-23.0)#5 32.0 (-28.0)#274
6. 29369 4.0 27.0 (-23.0)#6 32.0 (-28.0)#289
7. 29532 5.0 27.0 (-22.0)#7 32.0 (-27.0)#446
8. 29945 5.0 27.0 (-22.0)#8 32.0 (-27.0)#543
9. 29301 6.0 27.0 (-21.0)#9 32.0 (-26.0)#591
10. 29340 6.0 27.0 (-21.0)#10 32.0 (-26.0)#642
11. 29626 7.0 27.0 (-20.0)#11 32.0 (-25.0)#876
12. 29372 7.0 27.0 (-20.0)#12 32.0 (-25.0)#954
13. 29063 8.0 27.0 (-19.0)#13 32.0 (-24.0)#1,025
14. 29577 8.0 27.0 (-19.0)#14 32.0 (-24.0)#1,035
15. 29566 8.0 27.0 (-19.0)#15 32.0 (-24.0)#1,088
16. 29365 8.0 27.0 (-19.0)#16 32.0 (-24.0)#1,122
17. 29691 8.0 27.0 (-19.0)#17 32.0 (-24.0)#1,144
18. 29510 8.0 27.0 (-19.0)#18 32.0 (-24.0)#1,158
19. 29488 9.0 27.0 (-18.0)#19 32.0 (-23.0)#1,345
20. 29506 9.0 27.0 (-18.0)#20 32.0 (-23.0)#1,350
21. 29102 9.0 27.0 (-18.0)#21 32.0 (-23.0)#1,385
22. 29936 9.0 27.0 (-18.0)#22 32.0 (-23.0)#1,395
23. 29670 9.0 27.0 (-18.0)#23 32.0 (-23.0)#1,415
24. 29730 10.0 27.0 (-17.0)#24 32.0 (-22.0)#1,546
25. 29588 10.0 27.0 (-17.0)#25 32.0 (-22.0)#1,550
26. 29526 10.0 27.0 (-17.0)#26 32.0 (-22.0)#1,552
27. 29611 10.0 27.0 (-17.0)#27 32.0 (-22.0)#1,585
28. 29601 10.0 27.0 (-17.0)#28 32.0 (-22.0)#1,677
29. 29842 10.0 27.0 (-17.0)#29 32.0 (-22.0)#1,717
30. 29164 10.0 27.0 (-17.0)#30 32.0 (-22.0)#1,744
31. 29073 11.0 27.0 (-16.0)#31 32.0 (-21.0)#1,824
32. 29334 11.0 27.0 (-16.0)#32 32.0 (-21.0)#1,921
33. 29646 12.0 27.0 (-15.0)#33 32.0 (-20.0)#2,181
34. 29582 12.0 27.0 (-15.0)#34 32.0 (-20.0)#2,220
35. 29056 12.0 27.0 (-15.0)#35 32.0 (-20.0)#2,374
36. 29210 13.0 27.0 (-14.0)#36 32.0 (-19.0)#2,421
37. 29388 13.0 27.0 (-14.0)#37 32.0 (-19.0)#2,531
38. 29061 13.0 27.0 (-14.0)#38 32.0 (-19.0)#2,555
39. 29440 14.0 27.0 (-13.0)#39 32.0 (-18.0)#2,773
40. 29472 14.0 27.0 (-13.0)#40 32.0 (-18.0)#2,875
41. 29341 15.0 27.0 (-12.0)#41 32.0 (-17.0)#3,118
42. 29657 15.0 27.0 (-12.0)#42 32.0 (-17.0)#3,135
43. 29585 15.0 27.0 (-12.0)#43 32.0 (-17.0)#3,136
44. 29831 15.0 27.0 (-12.0)#44 32.0 (-17.0)#3,233
45. 29445 16.0 27.0 (-11.0)#45 32.0 (-16.0)#3,297
46. 29323 16.0 27.0 (-11.0)#46 32.0 (-16.0)#3,434
47. 29130 16.0 27.0 (-11.0)#47 32.0 (-16.0)#3,498
48. 29678 17.0 27.0 (-10.00)#48 32.0 (-15.0)#3,680
49. 29486 18.0 27.0 (-9.00)#49 32.0 (-14.0)#3,930
50. 29649 18.0 27.0 (-9.00)#50 32.0 (-14.0)#3,986
51. 29644 18.0 27.0 (-9.00)#51 32.0 (-14.0)#4,011
52. 29302 18.0 27.0 (-9.00)#52 32.0 (-14.0)#4,036
53. 29569 18.0 27.0 (-9.00)#53 32.0 (-14.0)#4,046
54. 29574 18.0 27.0 (-9.00)#54 32.0 (-14.0)#4,094
55. 29058 18.0 27.0 (-9.00)#56 32.0 (-14.0)#4,126
56. 29684 18.0 27.0 (-9.00)#57 32.0 (-14.0)#4,127
57. 29483 19.0 27.0 (-8.00)#58 32.0 (-13.0)#4,223
58. 29841 19.0 27.0 (-8.00)#59 32.0 (-13.0)#4,270
59. 29045 19.0 27.0 (-8.00)#60 32.0 (-13.0)#4,278
60. 29170 19.0 27.0 (-8.00)#61 32.0 (-13.0)#4,328
61. 29123 19.0 27.0 (-8.00)#62 32.0 (-13.0)#4,405
62. 29666 19.0 27.0 (-8.00)#63 32.0 (-13.0)#4,415
63. 29527 20.0 27.0 (-7.00)#64 32.0 (-12.0)#4,595
64. 29360 20.0 27.0 (-7.00)#65 32.0 (-12.0)#4,625
65. 29330 20.0 27.0 (-7.00)#66 32.0 (-12.0)#4,706
66. 29564 20.0 27.0 (-7.00)#67 32.0 (-12.0)#4,798
67. 29681 21.0 27.0 (-6.00)#68 32.0 (-11.0)#4,828
68. 29732 21.0 27.0 (-6.00)#69 32.0 (-11.0)#4,834
69. 29405 21.0 27.0 (-6.00)#70 32.0 (-11.0)#4,899
70. 29303 21.0 27.0 (-6.00)#71 32.0 (-11.0)#4,900
71. 29169 21.0 27.0 (-6.00)#72 32.0 (-11.0)#4,928
72. 29108 21.0 27.0 (-6.00)#73 32.0 (-11.0)#4,941
73. 29325 21.0 27.0 (-6.00)#74 32.0 (-11.0)#4,988
74. 29944 21.0 27.0 (-6.00)#75 32.0 (-11.0)#5,082
75. 29072 22.0 27.0 (-5.00)#76 32.0 (-10.00)#5,156
76. 29223 22.0 27.0 (-5.00)#77 32.0 (-10.00)#5,175
77. 29036 22.0 27.0 (-5.00)#78 32.0 (-10.00)#5,254
78. 29718 22.0 27.0 (-5.00)#79 32.0 (-10.00)#5,386
79. 29707 23.0 27.0 (-4.00)#80 32.0 (-9.00)#5,513
80. 29418 23.0 27.0 (-4.00)#81 32.0 (-9.00)#5,544
81. 29466 24.0 27.0 (-3.00)#82 32.0 (-8.00)#5,780
82. 29803 24.0 27.0 (-3.00)#83 32.0 (-8.00)#5,793
83. 29627 24.0 27.0 (-3.00)#84 32.0 (-8.00)#5,893
84. 29654 24.0 27.0 (-3.00)#85 32.0 (-8.00)#5,928
85. 29449 24.0 27.0 (-3.00)#86 32.0 (-8.00)#5,939
86. 29414 25.0 27.0 (-2.00)#87 32.0 (-7.00)#6,097
87. 29016 25.0 27.0 (-2.00)#88 32.0 (-7.00)#6,154
88. 29033 25.0 27.0 (-2.00)#89 32.0 (-7.00)#6,245
89. 29572 25.0 27.0 (-2.00)#90 32.0 (-7.00)#6,252
90. 29410 26.0 27.0 (-1.000)#91 32.0 (-6.00)#6,519
91. 29306 26.0 27.0 (-1.000)#92 32.0 (-6.00)#6,537
92. 29662 26.0 27.0 (-1.000)#93 32.0 (-6.00)#6,550
93. 29672 26.0 27.0 (-1.000)#94 32.0 (-6.00)#6,560
94. 29579 27.0 27.0 (=0.000)#95 32.0 (-5.00)#6,719
95. 29501 27.0 27.0 (=0.000)#96 32.0 (-5.00)#6,723
96. 29461 27.0 27.0 (=0.000)#97 32.0 (-5.00)#6,741
97. 29615 27.0 27.0 (=0.000)#98 32.0 (-5.00)#6,755
98. 29512 27.0 27.0 (=0.000)#99 32.0 (-5.00)#6,852
99. 29812 27.0 27.0 (=0.000)#100 32.0 (-5.00)#6,887
100. 29403 28.0 27.0 (+1.000)#101 32.0 (-4.00)#7,138

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in South Carolina?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in South Carolina are:
#1
1.0
#2
1.0
#3
1.0
#4
1.0
#5
4.0
#6
4.0
#7
5.0
#8
5.0
#9
6.0
#10
6.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in South Carolina?
29745 has the Fewest Births per 1,000 Women Over the Age of 35 in South Carolina with 1.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of South Carolina?
Number of Births per 1,000 Women Over the Age of 35 in South 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.