Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Carolina

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Highest Birth Rate | Below Poverty
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 Below Poverty Level in South Carolina

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800.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Carolina Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Carolina

Zip Code Births / 1,000 Women vs State vs National
1. 29816 765.0 55.0 (+710)#1 53.0 (+712)#74
2. 29037 484.0 55.0 (+429)#2 53.0 (+431)#188
3. 29916 416.0 55.0 (+361)#3 53.0 (+363)#243
4. 29845 283.0 55.0 (+228)#4 53.0 (+230)#514
5. 29471 274.0 55.0 (+219)#5 53.0 (+221)#547
6. 29439 250.0 55.0 (+195)#6 53.0 (+197)#648
7. 29437 203.0 55.0 (+148)#7 53.0 (+150)#943
8. 29446 200.0 55.0 (+145)#8 53.0 (+147)#977
9. 29849 197.0 55.0 (+142)#9 53.0 (+144)#1,025
10. 29404 189.0 55.0 (+134)#10 53.0 (+136)#1,107
11. 29545 177.0 55.0 (+122)#11 53.0 (+124)#1,253
12. 29918 174.0 55.0 (+119)#12 53.0 (+121)#1,290
13. 29742 173.0 55.0 (+118)#13 53.0 (+120)#1,316
14. 29355 168.0 55.0 (+113)#14 53.0 (+115)#1,410
15. 29717 151.0 55.0 (+96.0)#15 53.0 (+98.0)#1,730
16. 29704 149.0 55.0 (+94.0)#16 53.0 (+96.0)#1,764
17. 29540 145.0 55.0 (+90.0)#17 53.0 (+92.0)#1,859
18. 29468 144.0 55.0 (+89.0)#18 53.0 (+91.0)#1,887
19. 29451 143.0 55.0 (+88.0)#19 53.0 (+90.0)#1,910
20. 29047 138.0 55.0 (+83.0)#20 53.0 (+85.0)#2,053
21. 29940 136.0 55.0 (+81.0)#21 53.0 (+83.0)#2,116
22. 29030 130.0 55.0 (+75.0)#22 53.0 (+77.0)#2,319
23. 29583 128.0 55.0 (+73.0)#23 53.0 (+75.0)#2,394
24. 29627 125.0 55.0 (+70.0)#24 53.0 (+72.0)#2,502
25. 29384 125.0 55.0 (+70.0)#25 53.0 (+72.0)#2,518
26. 29530 123.0 55.0 (+68.0)#26 53.0 (+70.0)#2,613
27. 29351 121.0 55.0 (+66.0)#27 53.0 (+68.0)#2,717
28. 29113 119.0 55.0 (+64.0)#28 53.0 (+66.0)#2,779
29. 29154 118.0 55.0 (+63.0)#29 53.0 (+65.0)#2,804
30. 29081 118.0 55.0 (+63.0)#30 53.0 (+65.0)#2,842
31. 29821 118.0 55.0 (+63.0)#31 53.0 (+65.0)#2,845
32. 29856 116.0 55.0 (+61.0)#32 53.0 (+63.0)#2,927
33. 29690 114.0 55.0 (+59.0)#33 53.0 (+61.0)#3,016
34. 29448 112.0 55.0 (+57.0)#34 53.0 (+59.0)#3,146
35. 29172 110.0 55.0 (+55.0)#35 53.0 (+57.0)#3,255
36. 29842 108.0 55.0 (+53.0)#36 53.0 (+55.0)#3,380
37. 29001 108.0 55.0 (+53.0)#37 53.0 (+55.0)#3,400
38. 29123 107.0 55.0 (+52.0)#38 53.0 (+54.0)#3,435
39. 29692 105.0 55.0 (+50.0)#39 53.0 (+52.0)#3,594
40. 29206 104.0 55.0 (+49.0)#40 53.0 (+51.0)#3,638
41. 29847 104.0 55.0 (+49.0)#41 53.0 (+51.0)#3,662
42. 29924 103.0 55.0 (+48.0)#42 53.0 (+50.0)#3,728
43. 29133 103.0 55.0 (+48.0)#43 53.0 (+50.0)#3,767
44. 29010 102.0 55.0 (+47.0)#44 53.0 (+49.0)#3,797
45. 29728 102.0 55.0 (+47.0)#45 53.0 (+49.0)#3,799
46. 29676 102.0 55.0 (+47.0)#46 53.0 (+49.0)#3,806
47. 29570 102.0 55.0 (+47.0)#47 53.0 (+49.0)#3,814
48. 29152 102.0 55.0 (+47.0)#48 53.0 (+49.0)#3,829
49. 29341 101.0 55.0 (+46.0)#49 53.0 (+48.0)#3,870
50. 29706 100.0 55.0 (+45.0)#50 53.0 (+47.0)#3,922
51. 29163 100.0 55.0 (+45.0)#51 53.0 (+47.0)#3,980
52. 29838 100.0 55.0 (+45.0)#52 53.0 (+47.0)#3,991
53. 29702 99.0 55.0 (+44.0)#53 53.0 (+46.0)#4,037
54. 29645 98.0 55.0 (+43.0)#54 53.0 (+45.0)#4,114
55. 29067 97.0 55.0 (+42.0)#55 53.0 (+44.0)#4,203
56. 29210 96.0 55.0 (+41.0)#56 53.0 (+43.0)#4,281
57. 29853 96.0 55.0 (+41.0)#57 53.0 (+43.0)#4,318
58. 29689 95.0 55.0 (+40.0)#58 53.0 (+42.0)#4,417
59. 29407 94.0 55.0 (+39.0)#59 53.0 (+41.0)#4,479
60. 29920 94.0 55.0 (+39.0)#60 53.0 (+41.0)#4,502
61. 29458 93.0 55.0 (+38.0)#61 53.0 (+40.0)#4,610
62. 29180 91.0 55.0 (+36.0)#62 53.0 (+38.0)#4,770
63. 29644 90.0 55.0 (+35.0)#63 53.0 (+37.0)#4,869
64. 29697 90.0 55.0 (+35.0)#64 53.0 (+37.0)#4,882
65. 29332 90.0 55.0 (+35.0)#65 53.0 (+37.0)#4,917
66. 29203 89.0 55.0 (+34.0)#66 53.0 (+36.0)#4,960
67. 29306 88.0 55.0 (+33.0)#67 53.0 (+35.0)#5,077
68. 29126 88.0 55.0 (+33.0)#68 53.0 (+35.0)#5,120
69. 29138 87.0 55.0 (+32.0)#69 53.0 (+34.0)#5,216
70. 29624 86.0 55.0 (+31.0)#70 53.0 (+33.0)#5,331
71. 29555 86.0 55.0 (+31.0)#71 53.0 (+33.0)#5,354
72. 29129 86.0 55.0 (+31.0)#72 53.0 (+33.0)#5,363
73. 29510 85.0 55.0 (+30.0)#73 53.0 (+32.0)#5,465
74. 29322 85.0 55.0 (+30.0)#74 53.0 (+32.0)#5,466
75. 29714 85.0 55.0 (+30.0)#75 53.0 (+32.0)#5,502
76. 29556 84.0 55.0 (+29.0)#76 53.0 (+31.0)#5,599
77. 29127 83.0 55.0 (+28.0)#77 53.0 (+30.0)#5,727
78. 29385 83.0 55.0 (+28.0)#78 53.0 (+30.0)#5,729
79. 29374 83.0 55.0 (+28.0)#79 53.0 (+30.0)#5,767
80. 29122 83.0 55.0 (+28.0)#80 53.0 (+30.0)#5,821
81. 29520 82.0 55.0 (+27.0)#81 53.0 (+29.0)#5,867
82. 29590 82.0 55.0 (+27.0)#82 53.0 (+29.0)#5,909
83. 29810 81.0 55.0 (+26.0)#83 53.0 (+28.0)#6,060
84. 29580 81.0 55.0 (+26.0)#84 53.0 (+28.0)#6,106
85. 29485 80.0 55.0 (+25.0)#85 53.0 (+27.0)#6,139
86. 29617 79.0 55.0 (+24.0)#86 53.0 (+26.0)#6,310
87. 29418 79.0 55.0 (+24.0)#87 53.0 (+26.0)#6,313
88. 29492 79.0 55.0 (+24.0)#88 53.0 (+26.0)#6,331
89. 29851 79.0 55.0 (+24.0)#89 53.0 (+26.0)#6,364
90. 29638 78.0 55.0 (+23.0)#90 53.0 (+25.0)#6,543
91. 29401 77.0 55.0 (+22.0)#91 53.0 (+24.0)#6,667
92. 29059 77.0 55.0 (+22.0)#92 53.0 (+24.0)#6,685
93. 29729 77.0 55.0 (+22.0)#93 53.0 (+24.0)#6,723
94. 29693 76.0 55.0 (+21.0)#94 53.0 (+23.0)#6,846
95. 29935 76.0 55.0 (+21.0)#95 53.0 (+23.0)#6,882
96. 29727 76.0 55.0 (+21.0)#96 53.0 (+23.0)#6,926
97. 29178 75.0 55.0 (+20.0)#97 53.0 (+22.0)#7,065
98. 29053 74.0 55.0 (+19.0)#98 53.0 (+21.0)#7,178
99. 29860 74.0 55.0 (+19.0)#99 53.0 (+21.0)#7,184
100. 29670 74.0 55.0 (+19.0)#100 53.0 (+21.0)#7,218

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in South Carolina are:
#1
765.0
#2
484.0
#3
416.0
#4
283.0
#5
274.0
#6
250.0
#7
203.0
#8
200.0
#9
197.0
#10
189.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in South Carolina?
29816 has the Most Births per 1,000 Women Below Poverty Level in South Carolina with 765.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of South Carolina?
Number of Births per 1,000 Women Below Poverty Level in South Carolina is 55.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.