Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina

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Lowest 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
South Carolina
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina

40.0
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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina

Zip Code Births / 1,000 Women vs State vs National
1. 29511 3.0 49.0 (-46.0)#1 48.0 (-45.0)#63
2. 29684 4.0 49.0 (-45.0)#2 48.0 (-44.0)#123
3. 29372 4.0 49.0 (-45.0)#3 48.0 (-44.0)#140
4. 29566 5.0 49.0 (-44.0)#4 48.0 (-43.0)#170
5. 29207 7.0 49.0 (-42.0)#5 48.0 (-41.0)#335
6. 29142 7.0 49.0 (-42.0)#6 48.0 (-41.0)#362
7. 29691 8.0 49.0 (-41.0)#7 48.0 (-40.0)#430
8. 29653 8.0 49.0 (-41.0)#8 48.0 (-40.0)#488
9. 29056 8.0 49.0 (-41.0)#9 48.0 (-40.0)#513
10. 29061 9.0 49.0 (-40.0)#10 48.0 (-39.0)#572
11. 29591 9.0 49.0 (-40.0)#11 48.0 (-39.0)#606
12. 29631 11.0 49.0 (-38.0)#12 48.0 (-37.0)#850
13. 29572 11.0 49.0 (-38.0)#13 48.0 (-37.0)#861
14. 29477 11.0 49.0 (-38.0)#14 48.0 (-37.0)#884
15. 29435 11.0 49.0 (-38.0)#15 48.0 (-37.0)#915
16. 29812 12.0 49.0 (-37.0)#16 48.0 (-36.0)#1,039
17. 29585 13.0 49.0 (-36.0)#17 48.0 (-35.0)#1,199
18. 29532 14.0 49.0 (-35.0)#18 48.0 (-34.0)#1,373
19. 29323 14.0 49.0 (-35.0)#19 48.0 (-34.0)#1,382
20. 29148 14.0 49.0 (-35.0)#20 48.0 (-34.0)#1,427
21. 29945 14.0 49.0 (-35.0)#21 48.0 (-34.0)#1,444
22. 29582 15.0 49.0 (-34.0)#22 48.0 (-33.0)#1,558
23. 29204 15.0 49.0 (-34.0)#23 48.0 (-33.0)#1,562
24. 29541 16.0 49.0 (-33.0)#24 48.0 (-32.0)#1,795
25. 29330 16.0 49.0 (-33.0)#25 48.0 (-32.0)#1,804
26. 29718 16.0 49.0 (-33.0)#26 48.0 (-32.0)#1,844
27. 29547 16.0 49.0 (-33.0)#27 48.0 (-32.0)#1,870
28. 29577 17.0 49.0 (-32.0)#28 48.0 (-31.0)#1,937
29. 29201 17.0 49.0 (-32.0)#29 48.0 (-31.0)#1,953
30. 29709 17.0 49.0 (-32.0)#30 48.0 (-31.0)#2,019
31. 29466 18.0 49.0 (-31.0)#31 48.0 (-30.0)#2,117
32. 29045 18.0 49.0 (-31.0)#32 48.0 (-30.0)#2,130
33. 29926 18.0 49.0 (-31.0)#33 48.0 (-30.0)#2,142
34. 29153 19.0 49.0 (-30.0)#34 48.0 (-29.0)#2,387
35. 29161 19.0 49.0 (-30.0)#35 48.0 (-29.0)#2,403
36. 29125 19.0 49.0 (-30.0)#36 48.0 (-29.0)#2,473
37. 29526 20.0 49.0 (-29.0)#37 48.0 (-28.0)#2,547
38. 29388 20.0 49.0 (-29.0)#38 48.0 (-28.0)#2,614
39. 29662 20.0 49.0 (-29.0)#39 48.0 (-28.0)#2,624
40. 29450 20.0 49.0 (-29.0)#40 48.0 (-28.0)#2,724
41. 29009 20.0 49.0 (-29.0)#41 48.0 (-28.0)#2,737
42. 29146 20.0 49.0 (-29.0)#42 48.0 (-28.0)#2,764
43. 29588 21.0 49.0 (-28.0)#43 48.0 (-27.0)#2,806
44. 29536 21.0 49.0 (-28.0)#44 48.0 (-27.0)#2,882
45. 29927 21.0 49.0 (-28.0)#45 48.0 (-27.0)#2,908
46. 29607 22.0 49.0 (-27.0)#46 48.0 (-26.0)#3,073
47. 29907 23.0 49.0 (-26.0)#47 48.0 (-25.0)#3,398
48. 29512 24.0 49.0 (-25.0)#48 48.0 (-24.0)#3,662
49. 29824 24.0 49.0 (-25.0)#49 48.0 (-24.0)#3,726
50. 29137 24.0 49.0 (-25.0)#50 48.0 (-24.0)#3,790
51. 29356 25.0 49.0 (-24.0)#51 48.0 (-23.0)#4,012
52. 29431 25.0 49.0 (-24.0)#52 48.0 (-23.0)#4,026
53. 29058 25.0 49.0 (-24.0)#53 48.0 (-23.0)#4,036
54. 29635 26.0 49.0 (-23.0)#54 48.0 (-22.0)#4,395
55. 29205 27.0 49.0 (-22.0)#55 48.0 (-21.0)#4,518
56. 29601 27.0 49.0 (-22.0)#56 48.0 (-21.0)#4,572
57. 29455 28.0 49.0 (-21.0)#57 48.0 (-20.0)#4,804
58. 29360 28.0 49.0 (-21.0)#58 48.0 (-20.0)#4,817
59. 29655 28.0 49.0 (-21.0)#59 48.0 (-20.0)#4,888
60. 29730 29.0 49.0 (-20.0)#60 48.0 (-19.0)#5,029
61. 29410 29.0 49.0 (-20.0)#61 48.0 (-19.0)#5,103
62. 29630 29.0 49.0 (-20.0)#62 48.0 (-19.0)#5,121
63. 29365 29.0 49.0 (-20.0)#63 48.0 (-19.0)#5,125
64. 29376 29.0 49.0 (-20.0)#64 48.0 (-19.0)#5,158
65. 29856 29.0 49.0 (-20.0)#65 48.0 (-19.0)#5,226
66. 29080 29.0 49.0 (-20.0)#66 48.0 (-19.0)#5,230
67. 29016 30.0 49.0 (-19.0)#67 48.0 (-18.0)#5,378
68. 29672 30.0 49.0 (-19.0)#68 48.0 (-18.0)#5,461
69. 29670 30.0 49.0 (-19.0)#69 48.0 (-18.0)#5,470
70. 29063 31.0 49.0 (-18.0)#70 48.0 (-17.0)#5,632
71. 29325 31.0 49.0 (-18.0)#71 48.0 (-17.0)#5,741
72. 29669 31.0 49.0 (-18.0)#72 48.0 (-17.0)#5,742
73. 29054 31.0 49.0 (-18.0)#73 48.0 (-17.0)#5,761
74. 29006 31.0 49.0 (-18.0)#74 48.0 (-17.0)#5,764
75. 29426 31.0 49.0 (-18.0)#75 48.0 (-17.0)#5,855
76. 29479 32.0 49.0 (-17.0)#76 48.0 (-16.0)#6,082
77. 29729 32.0 49.0 (-17.0)#77 48.0 (-16.0)#6,163
78. 29615 33.0 49.0 (-16.0)#78 48.0 (-15.0)#6,275
79. 29440 33.0 49.0 (-16.0)#79 48.0 (-15.0)#6,321
80. 29909 33.0 49.0 (-16.0)#80 48.0 (-15.0)#6,333
81. 29568 33.0 49.0 (-16.0)#81 48.0 (-15.0)#6,371
82. 29554 33.0 49.0 (-16.0)#82 48.0 (-15.0)#6,412
83. 29717 33.0 49.0 (-16.0)#83 48.0 (-15.0)#6,511
84. 29036 34.0 49.0 (-15.0)#84 48.0 (-14.0)#6,650
85. 29678 34.0 49.0 (-15.0)#85 48.0 (-14.0)#6,659
86. 29020 34.0 49.0 (-15.0)#86 48.0 (-14.0)#6,669
87. 29935 34.0 49.0 (-15.0)#87 48.0 (-14.0)#6,774
88. 29593 34.0 49.0 (-15.0)#88 48.0 (-14.0)#6,805
89. 29715 35.0 49.0 (-14.0)#89 48.0 (-13.0)#6,901
90. 29906 35.0 49.0 (-14.0)#90 48.0 (-13.0)#6,953
91. 29902 35.0 49.0 (-14.0)#91 48.0 (-13.0)#6,992
92. 29102 35.0 49.0 (-14.0)#92 48.0 (-13.0)#6,999
93. 29472 35.0 49.0 (-14.0)#93 48.0 (-13.0)#7,020
94. 29138 35.0 49.0 (-14.0)#94 48.0 (-13.0)#7,024
95. 29579 36.0 49.0 (-13.0)#95 48.0 (-12.0)#7,183
96. 29910 36.0 49.0 (-13.0)#96 48.0 (-12.0)#7,186
97. 29575 36.0 49.0 (-13.0)#97 48.0 (-12.0)#7,277
98. 29003 36.0 49.0 (-13.0)#98 48.0 (-12.0)#7,365
99. 29546 36.0 49.0 (-13.0)#99 48.0 (-12.0)#7,394
100. 29114 36.0 49.0 (-13.0)#100 48.0 (-12.0)#7,424

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina are:
#1
3.0
#2
4.0
#3
4.0
#4
5.0
#5
7.0
#6
7.0
#7
8.0
#8
8.0
#9
8.0
#10
9.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in South Carolina?
29511 has the Lowest Births per 1,000 Women in Labor Force in South Carolina with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of South Carolina?
Number Births per 1,000 Women in Labor Force in South Carolina is 49.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.