Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina

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Highest Poverty | Girls 0-16
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 Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina

30.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina

Zip Code Child Poverty (Girls) vs State vs National
1. 29932 100.0% 20.7% (+79.3)#1 17.0% (+83.0)#211
2. 29346 100.0% 20.7% (+79.3)#2 17.0% (+83.0)#228
3. 29493 100.0% 20.7% (+79.3)#3 17.0% (+83.0)#242
4. 29596 88.2% 20.7% (+67.5)#4 17.0% (+71.3)#452
5. 29659 80.0% 20.7% (+59.3)#5 17.0% (+63.0)#593
6. 29546 79.3% 20.7% (+58.5)#6 17.0% (+62.3)#611
7. 29321 78.4% 20.7% (+57.7)#7 17.0% (+61.5)#627
8. 29375 71.4% 20.7% (+50.7)#8 17.0% (+54.5)#802
9. 29565 70.1% 20.7% (+49.3)#9 17.0% (+53.1)#840
10. 29332 67.5% 20.7% (+46.7)#10 17.0% (+50.5)#929
11. 29355 62.5% 20.7% (+41.8)#11 17.0% (+45.5)#1,140
12. 29563 61.6% 20.7% (+40.8)#12 17.0% (+44.6)#1,181
13. 29920 61.4% 20.7% (+40.7)#13 17.0% (+44.4)#1,192
14. 29624 60.6% 20.7% (+39.9)#14 17.0% (+43.7)#1,228
15. 29166 60.6% 20.7% (+39.9)#15 17.0% (+43.6)#1,230
16. 29113 60.1% 20.7% (+39.3)#16 17.0% (+43.1)#1,255
17. 29826 60.0% 20.7% (+39.3)#17 17.0% (+43.0)#1,267
18. 29922 59.3% 20.7% (+38.5)#18 17.0% (+42.3)#1,314
19. 29471 58.9% 20.7% (+38.2)#19 17.0% (+42.0)#1,346
20. 29810 57.8% 20.7% (+37.0)#20 17.0% (+40.8)#1,420
21. 29448 57.1% 20.7% (+36.3)#21 17.0% (+40.1)#1,476
22. 29510 56.8% 20.7% (+36.1)#22 17.0% (+39.9)#1,494
23. 29843 56.3% 20.7% (+35.6)#23 17.0% (+39.3)#1,530
24. 29203 56.0% 20.7% (+35.3)#24 17.0% (+39.0)#1,547
25. 29545 55.8% 20.7% (+35.1)#25 17.0% (+38.8)#1,562
26. 29104 55.7% 20.7% (+35.0)#26 17.0% (+38.8)#1,568
27. 29047 55.0% 20.7% (+34.3)#27 17.0% (+38.0)#1,614
28. 29519 54.3% 20.7% (+33.6)#28 17.0% (+37.4)#1,669
29. 29664 54.3% 20.7% (+33.6)#29 17.0% (+37.4)#1,671
30. 29052 53.5% 20.7% (+32.7)#30 17.0% (+36.5)#1,730
31. 29512 53.3% 20.7% (+32.5)#31 17.0% (+36.3)#1,749
32. 29001 53.2% 20.7% (+32.5)#32 17.0% (+36.3)#1,750
33. 29812 53.1% 20.7% (+32.4)#33 17.0% (+36.1)#1,763
34. 29540 52.5% 20.7% (+31.7)#34 17.0% (+35.5)#1,824
35. 29458 52.0% 20.7% (+31.3)#35 17.0% (+35.0)#1,876
36. 29330 52.0% 20.7% (+31.3)#36 17.0% (+35.0)#1,879
37. 29581 51.7% 20.7% (+31.0)#37 17.0% (+34.7)#1,904
38. 29717 51.2% 20.7% (+30.5)#38 17.0% (+34.3)#1,944
39. 29692 51.2% 20.7% (+30.4)#39 17.0% (+34.2)#1,956
40. 29340 51.1% 20.7% (+30.4)#40 17.0% (+34.2)#1,959
41. 29477 50.9% 20.7% (+30.1)#41 17.0% (+33.9)#1,985
42. 29137 49.6% 20.7% (+28.8)#42 17.0% (+32.6)#2,134
43. 29834 49.5% 20.7% (+28.8)#43 17.0% (+32.5)#2,139
44. 29554 49.4% 20.7% (+28.7)#44 17.0% (+32.5)#2,145
45. 29069 48.9% 20.7% (+28.2)#45 17.0% (+32.0)#2,182
46. 29593 48.4% 20.7% (+27.7)#46 17.0% (+31.4)#2,243
47. 29044 48.3% 20.7% (+27.6)#47 17.0% (+31.4)#2,250
48. 29003 48.1% 20.7% (+27.3)#48 17.0% (+31.1)#2,272
49. 29055 47.7% 20.7% (+26.9)#49 17.0% (+30.7)#2,313
50. 29819 47.1% 20.7% (+26.3)#50 17.0% (+30.1)#2,379
51. 29123 47.0% 20.7% (+26.2)#51 17.0% (+30.0)#2,394
52. 29816 46.9% 20.7% (+26.2)#52 17.0% (+29.9)#2,398
53. 29916 46.6% 20.7% (+25.9)#53 17.0% (+29.6)#2,434
54. 29817 46.2% 20.7% (+25.5)#54 17.0% (+29.2)#2,469
55. 29487 46.0% 20.7% (+25.3)#55 17.0% (+29.0)#2,489
56. 29626 45.2% 20.7% (+24.4)#56 17.0% (+28.2)#2,584
57. 29924 45.1% 20.7% (+24.4)#57 17.0% (+28.2)#2,589
58. 29628 44.2% 20.7% (+23.4)#58 17.0% (+27.2)#2,705
59. 29306 44.0% 20.7% (+23.3)#59 17.0% (+27.1)#2,727
60. 29053 43.3% 20.7% (+22.5)#60 17.0% (+26.3)#2,847
61. 29574 43.1% 20.7% (+22.4)#61 17.0% (+26.2)#2,862
62. 29525 43.1% 20.7% (+22.4)#62 17.0% (+26.1)#2,867
63. 29115 43.0% 20.7% (+22.2)#63 17.0% (+26.0)#2,890
64. 29728 42.2% 20.7% (+21.5)#64 17.0% (+25.3)#3,004
65. 29108 42.1% 20.7% (+21.3)#65 17.0% (+25.1)#3,031
66. 29010 41.4% 20.7% (+20.7)#66 17.0% (+24.4)#3,120
67. 29927 40.7% 20.7% (+20.0)#67 17.0% (+23.7)#3,249
68. 29856 40.3% 20.7% (+19.6)#68 17.0% (+23.3)#3,313
69. 29353 40.0% 20.7% (+19.3)#69 17.0% (+23.0)#3,358
70. 29080 39.5% 20.7% (+18.7)#70 17.0% (+22.5)#3,471
71. 29654 39.3% 20.7% (+18.6)#71 17.0% (+22.3)#3,488
72. 29301 39.1% 20.7% (+18.4)#72 17.0% (+22.1)#3,527
73. 29848 39.0% 20.7% (+18.2)#73 17.0% (+22.0)#3,554
74. 29114 38.9% 20.7% (+18.2)#74 17.0% (+21.9)#3,563
75. 29082 38.5% 20.7% (+17.7)#75 17.0% (+21.5)#3,644
76. 29706 38.1% 20.7% (+17.4)#76 17.0% (+21.2)#3,699
77. 29945 38.1% 20.7% (+17.4)#77 17.0% (+21.1)#3,704
78. 29384 37.8% 20.7% (+17.1)#78 17.0% (+20.8)#3,760
79. 29527 37.5% 20.7% (+16.7)#79 17.0% (+20.5)#3,839
80. 29180 37.4% 20.7% (+16.7)#80 17.0% (+20.5)#3,849
81. 29038 37.3% 20.7% (+16.6)#81 17.0% (+20.3)#3,873
82. 29639 36.8% 20.7% (+16.1)#82 17.0% (+19.8)#3,984
83. 29835 36.3% 20.7% (+15.6)#83 17.0% (+19.3)#4,082
84. 29450 36.3% 20.7% (+15.5)#84 17.0% (+19.3)#4,090
85. 29620 36.2% 20.7% (+15.4)#85 17.0% (+19.2)#4,117
86. 29406 36.0% 20.7% (+15.3)#86 17.0% (+19.1)#4,148
87. 29532 35.9% 20.7% (+15.2)#87 17.0% (+18.9)#4,177
88. 29153 35.8% 20.7% (+15.1)#88 17.0% (+18.9)#4,194
89. 29555 35.8% 20.7% (+15.1)#89 17.0% (+18.9)#4,195
90. 29209 35.8% 20.7% (+15.1)#90 17.0% (+18.8)#4,203
91. 29059 35.6% 20.7% (+14.9)#91 17.0% (+18.6)#4,252
92. 29488 35.5% 20.7% (+14.8)#92 17.0% (+18.5)#4,277
93. 29829 35.0% 20.7% (+14.2)#93 17.0% (+18.0)#4,385
94. 29479 35.0% 20.7% (+14.2)#94 17.0% (+18.0)#4,386
95. 29611 34.8% 20.7% (+14.1)#95 17.0% (+17.8)#4,418
96. 29435 34.6% 20.7% (+13.9)#96 17.0% (+17.7)#4,458
97. 29379 34.6% 20.7% (+13.9)#97 17.0% (+17.6)#4,471
98. 29520 34.6% 20.7% (+13.8)#98 17.0% (+17.6)#4,479
99. 29020 34.5% 20.7% (+13.7)#99 17.0% (+17.5)#4,509
100. 29401 34.2% 20.7% (+13.4)#100 17.0% (+17.2)#4,577

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
88.2%
#5
80.0%
#6
79.3%
#7
78.4%
#8
71.4%
#9
70.1%
#10
67.5%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina?
29932 has the Highest Child Poverty Level Among Girls Under the Age of 16 in South Carolina with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of South Carolina?
Poverty Level Among Girls Under the Age of 16 in South Carolina is 20.7%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.