Zip Codes with the Most Births per 1,000 Women in Labor Force in South 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
South Carolina
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 29037 907.0 49.0 (+858)#1 48.0 (+859)#54
2. 29816 759.0 49.0 (+710)#2 48.0 (+711)#66
3. 29471 322.0 49.0 (+273)#3 48.0 (+274)#412
4. 29845 314.0 49.0 (+265)#4 48.0 (+266)#427
5. 29439 250.0 49.0 (+201)#5 48.0 (+202)#647
6. 29838 238.0 49.0 (+189)#6 48.0 (+190)#724
7. 29742 215.0 49.0 (+166)#7 48.0 (+167)#872
8. 29446 200.0 49.0 (+151)#8 48.0 (+152)#981
9. 29451 195.0 49.0 (+146)#9 48.0 (+147)#1,059
10. 29133 177.0 49.0 (+128)#10 48.0 (+129)#1,237
11. 29704 170.0 49.0 (+121)#11 48.0 (+122)#1,332
12. 29081 170.0 49.0 (+121)#12 48.0 (+122)#1,336
13. 29468 167.0 49.0 (+118)#13 48.0 (+119)#1,374
14. 29163 164.0 49.0 (+115)#14 48.0 (+116)#1,428
15. 29030 163.0 49.0 (+114)#15 48.0 (+115)#1,443
16. 29530 160.0 49.0 (+111)#16 48.0 (+112)#1,491
17. 29384 159.0 49.0 (+110)#17 48.0 (+111)#1,511
18. 29540 152.0 49.0 (+103)#18 48.0 (+104)#1,638
19. 29853 137.0 49.0 (+88.0)#19 48.0 (+89.0)#1,987
20. 29728 136.0 49.0 (+87.0)#20 48.0 (+88.0)#2,008
21. 29692 133.0 49.0 (+84.0)#21 48.0 (+85.0)#2,098
22. 29940 133.0 49.0 (+84.0)#22 48.0 (+85.0)#2,102
23. 29152 132.0 49.0 (+83.0)#23 48.0 (+84.0)#2,131
24. 29448 129.0 49.0 (+80.0)#24 48.0 (+81.0)#2,220
25. 29052 129.0 49.0 (+80.0)#25 48.0 (+81.0)#2,221
26. 29111 129.0 49.0 (+80.0)#26 48.0 (+81.0)#2,227
27. 29918 126.0 49.0 (+77.0)#27 48.0 (+78.0)#2,317
28. 29842 124.0 49.0 (+75.0)#28 48.0 (+76.0)#2,386
29. 29584 123.0 49.0 (+74.0)#29 48.0 (+75.0)#2,424
30. 29690 117.0 49.0 (+68.0)#30 48.0 (+69.0)#2,626
31. 29697 117.0 49.0 (+68.0)#31 48.0 (+69.0)#2,630
32. 29129 116.0 49.0 (+67.0)#32 48.0 (+68.0)#2,673
33. 29404 116.0 49.0 (+67.0)#33 48.0 (+68.0)#2,683
34. 29555 115.0 49.0 (+66.0)#34 48.0 (+67.0)#2,717
35. 29714 114.0 49.0 (+65.0)#35 48.0 (+66.0)#2,760
36. 29332 114.0 49.0 (+65.0)#36 48.0 (+66.0)#2,762
37. 29627 113.0 49.0 (+64.0)#37 48.0 (+65.0)#2,792
38. 29432 108.0 49.0 (+59.0)#38 48.0 (+60.0)#3,069
39. 29206 107.0 49.0 (+58.0)#39 48.0 (+59.0)#3,091
40. 29127 107.0 49.0 (+58.0)#40 48.0 (+59.0)#3,101
41. 29055 104.0 49.0 (+55.0)#41 48.0 (+56.0)#3,272
42. 29306 103.0 49.0 (+54.0)#42 48.0 (+55.0)#3,305
43. 29010 103.0 49.0 (+54.0)#43 48.0 (+55.0)#3,312
44. 29001 101.0 49.0 (+52.0)#44 48.0 (+53.0)#3,468
45. 29583 100.0 49.0 (+51.0)#45 48.0 (+52.0)#3,503
46. 29520 99.0 49.0 (+50.0)#46 48.0 (+51.0)#3,560
47. 29638 98.0 49.0 (+49.0)#47 48.0 (+50.0)#3,649
48. 29112 98.0 49.0 (+49.0)#48 48.0 (+50.0)#3,651
49. 29154 97.0 49.0 (+48.0)#49 48.0 (+49.0)#3,687
50. 29556 97.0 49.0 (+48.0)#50 48.0 (+49.0)#3,695
51. 29374 97.0 49.0 (+48.0)#51 48.0 (+49.0)#3,724
52. 29067 96.0 49.0 (+47.0)#52 48.0 (+48.0)#3,773
53. 29821 96.0 49.0 (+47.0)#53 48.0 (+48.0)#3,814
54. 29936 94.0 49.0 (+45.0)#54 48.0 (+46.0)#3,897
55. 29059 94.0 49.0 (+45.0)#55 48.0 (+46.0)#3,911
56. 29485 93.0 49.0 (+44.0)#56 48.0 (+45.0)#3,958
57. 29180 93.0 49.0 (+44.0)#57 48.0 (+45.0)#3,975
58. 29661 91.0 49.0 (+42.0)#58 48.0 (+43.0)#4,131
59. 29458 91.0 49.0 (+42.0)#59 48.0 (+43.0)#4,156
60. 29040 89.0 49.0 (+40.0)#60 48.0 (+41.0)#4,324
61. 29920 88.0 49.0 (+39.0)#61 48.0 (+40.0)#4,416
62. 29449 88.0 49.0 (+39.0)#62 48.0 (+40.0)#4,424
63. 29160 87.0 49.0 (+38.0)#63 48.0 (+39.0)#4,529
64. 29851 86.0 49.0 (+37.0)#64 48.0 (+38.0)#4,621
65. 29860 85.0 49.0 (+36.0)#65 48.0 (+37.0)#4,710
66. 29624 85.0 49.0 (+36.0)#66 48.0 (+37.0)#4,717
67. 29924 84.0 49.0 (+35.0)#67 48.0 (+36.0)#4,842
68. 29590 84.0 49.0 (+35.0)#68 48.0 (+36.0)#4,847
69. 29810 84.0 49.0 (+35.0)#69 48.0 (+36.0)#4,848
70. 29407 83.0 49.0 (+34.0)#70 48.0 (+35.0)#4,888
71. 29438 83.0 49.0 (+34.0)#71 48.0 (+35.0)#4,960
72. 29126 83.0 49.0 (+34.0)#72 48.0 (+35.0)#4,962
73. 29047 82.0 49.0 (+33.0)#73 48.0 (+34.0)#5,075
74. 29321 82.0 49.0 (+33.0)#74 48.0 (+34.0)#5,080
75. 29550 81.0 49.0 (+32.0)#75 48.0 (+33.0)#5,140
76. 29488 80.0 49.0 (+31.0)#76 48.0 (+32.0)#5,257
77. 29510 80.0 49.0 (+31.0)#77 48.0 (+32.0)#5,281
78. 29385 79.0 49.0 (+30.0)#78 48.0 (+31.0)#5,406
79. 29353 79.0 49.0 (+30.0)#79 48.0 (+31.0)#5,429
80. 29170 78.0 49.0 (+29.0)#80 48.0 (+30.0)#5,500
81. 29135 78.0 49.0 (+29.0)#81 48.0 (+30.0)#5,531
82. 29831 78.0 49.0 (+29.0)#82 48.0 (+30.0)#5,548
83. 29944 78.0 49.0 (+29.0)#83 48.0 (+30.0)#5,549
84. 29645 77.0 49.0 (+28.0)#84 48.0 (+29.0)#5,649
85. 29123 77.0 49.0 (+28.0)#85 48.0 (+29.0)#5,664
86. 29418 76.0 49.0 (+27.0)#86 48.0 (+28.0)#5,776
87. 29516 76.0 49.0 (+27.0)#87 48.0 (+28.0)#5,868
88. 29720 75.0 49.0 (+26.0)#88 48.0 (+27.0)#5,883
89. 29070 75.0 49.0 (+26.0)#89 48.0 (+27.0)#5,912
90. 29172 75.0 49.0 (+26.0)#90 48.0 (+27.0)#5,931
91. 29676 75.0 49.0 (+26.0)#91 48.0 (+27.0)#5,935
92. 29482 74.0 49.0 (+25.0)#92 48.0 (+26.0)#6,115
93. 29334 73.0 49.0 (+24.0)#93 48.0 (+25.0)#6,204
94. 29401 73.0 49.0 (+24.0)#94 48.0 (+25.0)#6,233
95. 29164 73.0 49.0 (+24.0)#95 48.0 (+25.0)#6,254
96. 29203 72.0 49.0 (+23.0)#96 48.0 (+24.0)#6,322
97. 29707 72.0 49.0 (+23.0)#97 48.0 (+24.0)#6,340
98. 29322 72.0 49.0 (+23.0)#98 48.0 (+24.0)#6,390
99. 29481 72.0 49.0 (+23.0)#99 48.0 (+24.0)#6,456
100. 29922 72.0 49.0 (+23.0)#100 48.0 (+24.0)#6,468

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in South Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in South Carolina are:
#1
907.0
#2
759.0
#3
322.0
#4
314.0
#5
250.0
#6
238.0
#7
215.0
#8
200.0
#9
195.0
#10
177.0
What zip code has the Most Births per 1,000 Women in Labor Force in South Carolina?
29037 has the Most Births per 1,000 Women in Labor Force in South Carolina with 907.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of South Carolina?
Number of Births per 1,000 Women in Labor Force in South Carolina is 49.0.
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.