Zip Codes with the Highest Female Poverty Level in South Carolina

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Highest Poverty | Female
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 Female Poverty Level in South Carolina

20.0%
100.0%
Zip Codes with the Highest Female Poverty Level in South Carolina Map

Zip Codes with the Highest Female Poverty Level in South Carolina

Zip Code Female Poverty vs State vs National
1. 29207 100.0% 15.6% (+84.4)#1 13.7% (+86.3)#1
2. 29338 100.0% 15.6% (+84.4)#2 13.7% (+86.3)#48
3. 29519 65.9% 15.6% (+50.3)#3 13.7% (+52.2)#293
4. 29378 65.8% 15.6% (+50.2)#4 13.7% (+52.1)#294
5. 29932 62.4% 15.6% (+46.8)#5 13.7% (+48.7)#342
6. 29594 57.5% 15.6% (+41.9)#6 13.7% (+43.8)#434
7. 29333 55.3% 15.6% (+39.7)#7 13.7% (+41.6)#489
8. 29634 51.4% 15.6% (+35.8)#8 13.7% (+37.7)#604
9. 29201 50.9% 15.6% (+35.4)#9 13.7% (+37.2)#622
10. 29922 47.5% 15.6% (+31.9)#10 13.7% (+33.8)#772
11. 29546 46.2% 15.6% (+30.6)#11 13.7% (+32.5)#822
12. 29493 45.7% 15.6% (+30.1)#12 13.7% (+32.0)#857
13. 29565 45.4% 15.6% (+29.8)#13 13.7% (+31.7)#877
14. 29545 45.1% 15.6% (+29.5)#14 13.7% (+31.4)#897
15. 29105 43.6% 15.6% (+28.1)#15 13.7% (+29.9)#972
16. 29321 43.3% 15.6% (+27.7)#16 13.7% (+29.6)#999
17. 29471 41.7% 15.6% (+26.1)#17 13.7% (+28.0)#1,111
18. 29563 41.5% 15.6% (+25.9)#18 13.7% (+27.8)#1,127
19. 29659 41.3% 15.6% (+25.7)#19 13.7% (+27.6)#1,139
20. 29080 40.9% 15.6% (+25.3)#20 13.7% (+27.2)#1,166
21. 29836 40.4% 15.6% (+24.8)#21 13.7% (+26.7)#1,210
22. 29329 40.0% 15.6% (+24.4)#22 13.7% (+26.3)#1,243
23. 29810 38.2% 15.6% (+22.6)#23 13.7% (+24.5)#1,416
24. 29458 38.2% 15.6% (+22.6)#24 13.7% (+24.5)#1,417
25. 29540 37.7% 15.6% (+22.2)#25 13.7% (+24.0)#1,456
26. 29426 37.4% 15.6% (+21.8)#26 13.7% (+23.7)#1,493
27. 29843 37.0% 15.6% (+21.4)#27 13.7% (+23.3)#1,535
28. 29364 36.0% 15.6% (+20.4)#28 13.7% (+22.3)#1,672
29. 29001 35.9% 15.6% (+20.3)#29 13.7% (+22.2)#1,682
30. 29639 35.8% 15.6% (+20.2)#30 13.7% (+22.1)#1,699
31. 29047 35.3% 15.6% (+19.8)#31 13.7% (+21.6)#1,768
32. 29686 35.2% 15.6% (+19.6)#32 13.7% (+21.5)#1,799
33. 29306 35.1% 15.6% (+19.5)#33 13.7% (+21.4)#1,804
34. 29624 34.8% 15.6% (+19.3)#34 13.7% (+21.1)#1,849
35. 29137 34.3% 15.6% (+18.8)#35 13.7% (+20.6)#1,943
36. 29631 33.9% 15.6% (+18.3)#36 13.7% (+20.2)#2,009
37. 29510 33.6% 15.6% (+18.1)#37 13.7% (+19.9)#2,047
38. 29203 33.4% 15.6% (+17.9)#38 13.7% (+19.7)#2,079
39. 29168 33.4% 15.6% (+17.8)#39 13.7% (+19.7)#2,081
40. 29828 33.0% 15.6% (+17.5)#40 13.7% (+19.3)#2,154
41. 29812 33.0% 15.6% (+17.5)#41 13.7% (+19.3)#2,155
42. 29692 33.0% 15.6% (+17.4)#42 13.7% (+19.3)#2,162
43. 29113 32.5% 15.6% (+16.9)#43 13.7% (+18.8)#2,254
44. 29115 32.5% 15.6% (+16.9)#44 13.7% (+18.8)#2,263
45. 29048 31.8% 15.6% (+16.3)#45 13.7% (+18.1)#2,391
46. 29512 31.4% 15.6% (+15.8)#46 13.7% (+17.7)#2,486
47. 29055 30.9% 15.6% (+15.3)#47 13.7% (+17.2)#2,589
48. 29346 30.8% 15.6% (+15.2)#48 13.7% (+17.1)#2,610
49. 29574 30.7% 15.6% (+15.1)#49 13.7% (+17.0)#2,638
50. 29506 30.5% 15.6% (+14.9)#50 13.7% (+16.8)#2,691
51. 29567 30.3% 15.6% (+14.8)#51 13.7% (+16.6)#2,720
52. 29403 30.2% 15.6% (+14.6)#52 13.7% (+16.5)#2,784
53. 29918 29.9% 15.6% (+14.3)#53 13.7% (+16.2)#2,853
54. 29129 29.7% 15.6% (+14.1)#54 13.7% (+16.0)#2,904
55. 29554 29.6% 15.6% (+14.0)#55 13.7% (+15.9)#2,927
56. 29536 29.3% 15.6% (+13.7)#56 13.7% (+15.6)#2,995
57. 29584 29.3% 15.6% (+13.7)#57 13.7% (+15.6)#3,012
58. 29010 28.9% 15.6% (+13.3)#58 13.7% (+15.2)#3,119
59. 29479 28.8% 15.6% (+13.2)#59 13.7% (+15.1)#3,136
60. 29581 28.3% 15.6% (+12.7)#60 13.7% (+14.6)#3,275
61. 29104 28.3% 15.6% (+12.7)#61 13.7% (+14.6)#3,290
62. 29570 28.1% 15.6% (+12.5)#62 13.7% (+14.4)#3,337
63. 29626 28.0% 15.6% (+12.4)#63 13.7% (+14.3)#3,390
64. 29591 27.9% 15.6% (+12.4)#64 13.7% (+14.2)#3,391
65. 29123 27.7% 15.6% (+12.1)#65 13.7% (+14.0)#3,467
66. 29180 27.7% 15.6% (+12.1)#66 13.7% (+14.0)#3,477
67. 29834 27.3% 15.6% (+11.7)#67 13.7% (+13.6)#3,576
68. 29728 27.3% 15.6% (+11.7)#68 13.7% (+13.6)#3,611
69. 29477 27.2% 15.6% (+11.6)#69 13.7% (+13.5)#3,627
70. 29003 27.1% 15.6% (+11.5)#70 13.7% (+13.4)#3,682
71. 29102 26.8% 15.6% (+11.3)#71 13.7% (+13.1)#3,756
72. 29924 26.7% 15.6% (+11.1)#72 13.7% (+13.0)#3,791
73. 29816 26.6% 15.6% (+11.0)#73 13.7% (+12.9)#3,820
74. 29401 26.5% 15.6% (+10.9)#74 13.7% (+12.8)#3,868
75. 29053 26.5% 15.6% (+10.9)#75 13.7% (+12.8)#3,876
76. 29406 26.5% 15.6% (+10.9)#76 13.7% (+12.8)#3,880
77. 29590 26.5% 15.6% (+10.9)#77 13.7% (+12.8)#3,896
78. 29939 26.3% 15.6% (+10.7)#78 13.7% (+12.6)#3,966
79. 29340 25.9% 15.6% (+10.3)#79 13.7% (+12.2)#4,102
80. 29853 25.8% 15.6% (+10.2)#80 13.7% (+12.1)#4,164
81. 29556 25.7% 15.6% (+10.2)#81 13.7% (+12.0)#4,167
82. 29162 25.4% 15.6% (+9.82)#82 13.7% (+11.7)#4,303
83. 29303 25.3% 15.6% (+9.74)#83 13.7% (+11.6)#4,337
84. 29593 25.3% 15.6% (+9.70)#84 13.7% (+11.6)#4,351
85. 29706 25.3% 15.6% (+9.68)#85 13.7% (+11.6)#4,359
86. 29166 25.2% 15.6% (+9.66)#86 13.7% (+11.5)#4,366
87. 29628 25.2% 15.6% (+9.62)#87 13.7% (+11.5)#4,388
88. 29596 25.1% 15.6% (+9.50)#88 13.7% (+11.4)#4,433
89. 29555 25.0% 15.6% (+9.46)#89 13.7% (+11.3)#4,447
90. 29125 25.0% 15.6% (+9.44)#90 13.7% (+11.3)#4,459
91. 29611 24.9% 15.6% (+9.30)#91 13.7% (+11.2)#4,526
92. 29665 24.8% 15.6% (+9.24)#92 13.7% (+11.1)#4,550
93. 29439 24.8% 15.6% (+9.23)#93 13.7% (+11.1)#4,555
94. 29065 24.6% 15.6% (+9.06)#94 13.7% (+10.9)#4,627
95. 29108 24.6% 15.6% (+9.05)#95 13.7% (+10.9)#4,630
96. 29146 24.5% 15.6% (+8.94)#96 13.7% (+10.8)#4,682
97. 29532 24.5% 15.6% (+8.87)#97 13.7% (+10.8)#4,704
98. 29074 24.4% 15.6% (+8.86)#98 13.7% (+10.7)#4,709
99. 29056 24.4% 15.6% (+8.80)#99 13.7% (+10.7)#4,728
100. 29936 24.3% 15.6% (+8.68)#100 13.7% (+10.6)#4,796

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in South Carolina?
Top 10 Zip Codes with the Highest Female Poverty Level in South Carolina are:
#1
100.0%
#2
100.0%
#3
65.9%
#4
65.8%
#5
62.4%
#6
57.5%
#7
55.3%
#8
51.4%
#9
50.9%
#10
47.5%
What zip code has the Highest Female Poverty Level in South Carolina?
29207 has the Highest Female Poverty Level in South Carolina with 100.0%.
What is the Poverty Level Among Females in the State of South Carolina?
Poverty Level Among Females in South Carolina is 15.6%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.