Zip Codes with the Lowest Female Poverty Level in South Carolina

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Lowest 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 Lowest Female Poverty Level in South Carolina

15.0%
0.0%
Zip Codes with the Lowest Female Poverty Level in South Carolina Map

Zip Codes with the Lowest Female Poverty Level in South Carolina

Zip Code Female Poverty vs State vs National
1. 29849 2.2% 15.6% (-13.4)#1 13.7% (-11.5)#800
2. 29451 2.3% 15.6% (-13.3)#2 13.7% (-11.4)#852
3. 29075 2.4% 15.6% (-13.2)#3 13.7% (-11.3)#946
4. 29915 3.5% 15.6% (-12.1)#4 13.7% (-10.2)#2,034
5. 29921 3.6% 15.6% (-12.0)#5 13.7% (-10.1)#2,158
6. 29708 3.7% 15.6% (-11.9)#6 13.7% (-9.98)#2,280
7. 29635 4.0% 15.6% (-11.6)#7 13.7% (-9.69)#2,620
8. 29469 4.1% 15.6% (-11.5)#8 13.7% (-9.59)#2,732
9. 29126 4.1% 15.6% (-11.5)#9 13.7% (-9.59)#2,735
10. 29466 4.3% 15.6% (-11.3)#10 13.7% (-9.37)#3,044
11. 29036 4.4% 15.6% (-11.2)#11 13.7% (-9.29)#3,153
12. 29707 4.4% 15.6% (-11.2)#12 13.7% (-9.27)#3,177
13. 29051 4.5% 15.6% (-11.1)#13 13.7% (-9.23)#3,223
14. 29715 4.7% 15.6% (-10.9)#14 13.7% (-8.99)#3,583
15. 29016 4.9% 15.6% (-10.7)#15 13.7% (-8.81)#3,842
16. 29743 4.9% 15.6% (-10.6)#16 13.7% (-8.75)#3,938
17. 29712 5.1% 15.6% (-10.5)#17 13.7% (-8.57)#4,211
18. 29681 5.1% 15.6% (-10.4)#18 13.7% (-8.56)#4,212
19. 29376 5.4% 15.6% (-10.1)#19 13.7% (-8.26)#4,673
20. 29492 5.5% 15.6% (-10.1)#20 13.7% (-8.22)#4,730
21. 29929 5.8% 15.6% (-9.80)#21 13.7% (-7.92)#5,182
22. 29404 5.8% 15.6% (-9.78)#22 13.7% (-7.90)#5,216
23. 29072 6.2% 15.6% (-9.39)#23 13.7% (-7.50)#5,816
24. 29370 6.3% 15.6% (-9.31)#24 13.7% (-7.43)#5,944
25. 29909 6.4% 15.6% (-9.14)#25 13.7% (-7.25)#6,216
26. 29377 6.5% 15.6% (-9.13)#26 13.7% (-7.25)#6,226
27. 29650 6.5% 15.6% (-9.04)#27 13.7% (-7.15)#6,351
28. 29063 6.6% 15.6% (-9.01)#28 13.7% (-7.12)#6,406
29. 29860 6.7% 15.6% (-8.92)#29 13.7% (-7.03)#6,574
30. 29369 6.7% 15.6% (-8.90)#30 13.7% (-7.02)#6,595
31. 29429 7.0% 15.6% (-8.60)#31 13.7% (-6.71)#7,113
32. 29928 7.2% 15.6% (-8.36)#32 13.7% (-6.47)#7,515
33. 29934 7.2% 15.6% (-8.34)#33 13.7% (-6.46)#7,545
34. 29015 7.4% 15.6% (-8.20)#34 13.7% (-6.31)#7,775
35. 29615 7.5% 15.6% (-8.05)#35 13.7% (-6.16)#8,021
36. 29412 7.6% 15.6% (-7.96)#36 13.7% (-6.08)#8,125
37. 29696 7.6% 15.6% (-7.94)#37 13.7% (-6.06)#8,153
38. 29676 7.7% 15.6% (-7.93)#38 13.7% (-6.04)#8,178
39. 29054 7.8% 15.6% (-7.77)#39 13.7% (-5.89)#8,416
40. 29081 7.8% 15.6% (-7.75)#40 13.7% (-5.86)#8,449
41. 29819 7.9% 15.6% (-7.65)#41 13.7% (-5.77)#8,592
42. 29726 8.0% 15.6% (-7.62)#42 13.7% (-5.73)#8,636
43. 29107 8.1% 15.6% (-7.52)#43 13.7% (-5.64)#8,803
44. 29662 8.1% 15.6% (-7.49)#44 13.7% (-5.61)#8,840
45. 29455 8.1% 15.6% (-7.49)#45 13.7% (-5.61)#8,847
46. 29470 8.1% 15.6% (-7.48)#46 13.7% (-5.59)#8,867
47. 29031 8.2% 15.6% (-7.40)#47 13.7% (-5.52)#8,987
48. 29714 8.2% 15.6% (-7.40)#48 13.7% (-5.52)#8,993
49. 29453 8.2% 15.6% (-7.39)#49 13.7% (-5.51)#9,016
50. 29926 8.3% 15.6% (-7.32)#50 13.7% (-5.43)#9,125
51. 29229 8.3% 15.6% (-7.32)#51 13.7% (-5.43)#9,126
52. 29152 8.5% 15.6% (-7.13)#52 13.7% (-5.25)#9,404
53. 29206 8.5% 15.6% (-7.04)#53 13.7% (-5.15)#9,570
54. 29687 8.6% 15.6% (-7.00)#54 13.7% (-5.11)#9,644
55. 29576 8.6% 15.6% (-6.98)#55 13.7% (-5.10)#9,675
56. 29145 8.7% 15.6% (-6.89)#56 13.7% (-5.00)#9,803
57. 29672 8.8% 15.6% (-6.82)#57 13.7% (-4.93)#9,940
58. 29322 8.8% 15.6% (-6.77)#58 13.7% (-4.88)#10,015
59. 29680 8.9% 15.6% (-6.72)#59 13.7% (-4.83)#10,103
60. 29030 8.9% 15.6% (-6.64)#60 13.7% (-4.76)#10,237
61. 29178 9.0% 15.6% (-6.60)#61 13.7% (-4.72)#10,307
62. 29642 9.1% 15.6% (-6.46)#62 13.7% (-4.58)#10,504
63. 29449 9.2% 15.6% (-6.42)#63 13.7% (-4.53)#10,582
64. 29710 9.2% 15.6% (-6.37)#64 13.7% (-4.48)#10,661
65. 29334 9.2% 15.6% (-6.35)#65 13.7% (-4.47)#10,681
66. 29212 9.3% 15.6% (-6.33)#66 13.7% (-4.44)#10,726
67. 29910 9.3% 15.6% (-6.28)#67 13.7% (-4.40)#10,797
68. 29464 9.4% 15.6% (-6.22)#68 13.7% (-4.33)#10,894
69. 29842 9.4% 15.6% (-6.15)#69 13.7% (-4.27)#10,994
70. 29651 9.6% 15.6% (-6.02)#70 13.7% (-4.14)#11,238
71. 29045 9.6% 15.6% (-5.95)#71 13.7% (-4.06)#11,358
72. 29388 9.7% 15.6% (-5.89)#72 13.7% (-4.00)#11,459
73. 29461 9.9% 15.6% (-5.71)#73 13.7% (-3.82)#11,743
74. 29572 9.9% 15.6% (-5.68)#74 13.7% (-3.80)#11,788
75. 29414 10.0% 15.6% (-5.62)#75 13.7% (-3.74)#11,875
76. 29037 10.0% 15.6% (-5.60)#76 13.7% (-3.72)#11,903
77. 29316 10.0% 15.6% (-5.56)#77 13.7% (-3.67)#11,978
78. 29580 10.1% 15.6% (-5.53)#78 13.7% (-3.64)#12,026
79. 29585 10.1% 15.6% (-5.49)#79 13.7% (-3.61)#12,070
80. 29438 10.1% 15.6% (-5.49)#80 13.7% (-3.61)#12,073
81. 29575 10.1% 15.6% (-5.47)#81 13.7% (-3.59)#12,101
82. 29732 10.2% 15.6% (-5.38)#82 13.7% (-3.50)#12,223
83. 29582 10.3% 15.6% (-5.31)#83 13.7% (-3.43)#12,339
84. 29638 10.3% 15.6% (-5.28)#84 13.7% (-3.40)#12,387
85. 29643 10.5% 15.6% (-5.13)#85 13.7% (-3.24)#12,609
86. 29564 10.5% 15.6% (-5.08)#86 13.7% (-3.20)#12,665
87. 29803 10.6% 15.6% (-4.98)#87 13.7% (-3.09)#12,798
88. 29445 10.6% 15.6% (-4.96)#88 13.7% (-3.07)#12,836
89. 29805 10.8% 15.6% (-4.83)#89 13.7% (-2.95)#13,012
90. 29114 10.8% 15.6% (-4.80)#90 13.7% (-2.91)#13,066
91. 29697 10.8% 15.6% (-4.79)#91 13.7% (-2.91)#13,080
92. 29365 10.8% 15.6% (-4.75)#92 13.7% (-2.86)#13,146
93. 29456 10.9% 15.6% (-4.69)#93 13.7% (-2.81)#13,226
94. 29511 10.9% 15.6% (-4.68)#94 13.7% (-2.79)#13,241
95. 29437 11.0% 15.6% (-4.58)#95 13.7% (-2.70)#13,385
96. 29845 11.0% 15.6% (-4.54)#96 13.7% (-2.66)#13,439
97. 29935 11.1% 15.6% (-4.53)#97 13.7% (-2.64)#13,468
98. 29941 11.1% 15.6% (-4.47)#98 13.7% (-2.59)#13,548
99. 29745 11.2% 15.6% (-4.41)#99 13.7% (-2.53)#13,637
100. 29385 11.2% 15.6% (-4.40)#100 13.7% (-2.52)#13,654

Common Questions

What are the Top 10 Zip Codes with the Lowest Female Poverty Level in South Carolina?
Top 10 Zip Codes with the Lowest Female Poverty Level in South Carolina are:
#1
2.2%
#2
2.3%
#3
2.4%
#4
3.5%
#5
3.6%
#6
3.7%
#7
4.0%
#8
4.1%
#9
4.1%
#10
4.3%
What zip code has the Lowest Female Poverty Level in South Carolina?
29849 has the Lowest Female Poverty Level in South Carolina with 2.2%.
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%.