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

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Lowest 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 Lowest Child Poverty Level Among Girls Under the Age of 16 in South Carolina

15.0%
0.0%
Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Carolina Map

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

Zip Code Child Poverty (Girls) vs State vs National
1.291300.77%20.7%(-20.0)#117.0%(-16.2)#187
2.297081.3%20.7%(-19.4)#217.0%(-15.6)#560
3.296351.8%20.7%(-19.0)#317.0%(-15.2)#887
4.297072.3%20.7%(-18.5)#417.0%(-14.7)#1,309
5.299402.6%20.7%(-18.2)#517.0%(-14.4)#1,558
6.290162.8%20.7%(-17.9)#617.0%(-14.1)#1,775
7.291453.0%20.7%(-17.8)#717.0%(-14.0)#1,899
8.294493.0%20.7%(-17.7)#817.0%(-13.9)#1,949
9.290393.1%20.7%(-17.6)#917.0%(-13.9)#2,021
10.294923.2%20.7%(-17.6)#1017.0%(-13.8)#2,078
11.294823.2%20.7%(-17.5)#1117.0%(-13.8)#2,099
12.294663.2%20.7%(-17.5)#1217.0%(-13.7)#2,134
13.297153.3%20.7%(-17.4)#1317.0%(-13.7)#2,170
14.290364.0%20.7%(-16.7)#1417.0%(-12.9)#2,832
15.291074.1%20.7%(-16.7)#1517.0%(-12.9)#2,864
16.290724.2%20.7%(-16.5)#1617.0%(-12.7)#3,003
17.296154.4%20.7%(-16.4)#1717.0%(-12.6)#3,125
18.298054.4%20.7%(-16.4)#1817.0%(-12.6)#3,139
19.296814.4%20.7%(-16.3)#1917.0%(-12.6)#3,157
20.299094.9%20.7%(-15.8)#2017.0%(-12.0)#3,618
21.295305.0%20.7%(-15.7)#2117.0%(-12.0)#3,673
22.294365.0%20.7%(-15.7)#2217.0%(-11.9)#3,710
23.293885.5%20.7%(-15.3)#2317.0%(-11.5)#4,122
24.294375.5%20.7%(-15.2)#2417.0%(-11.5)#4,139
25.295416.1%20.7%(-14.6)#2517.0%(-10.9)#4,669
26.296426.2%20.7%(-14.6)#2617.0%(-10.8)#4,703
27.296826.2%20.7%(-14.5)#2717.0%(-10.7)#4,762
28.295926.2%20.7%(-14.5)#2817.0%(-10.7)#4,785
29.297146.3%20.7%(-14.5)#2917.0%(-10.7)#4,810
30.296316.5%20.7%(-14.2)#3017.0%(-10.4)#5,013
31.296506.6%20.7%(-14.1)#3117.0%(-10.4)#5,080
32.295646.7%20.7%(-14.1)#3217.0%(-10.3)#5,120
33.295166.8%20.7%(-14.0)#3317.0%(-10.2)#5,217
34.293767.0%20.7%(-13.8)#3417.0%(-9.99)#5,380
35.291647.2%20.7%(-13.5)#3517.0%(-9.78)#5,560
36.293357.3%20.7%(-13.4)#3617.0%(-9.67)#5,654
37.298607.4%20.7%(-13.3)#3717.0%(-9.58)#5,715
38.294727.5%20.7%(-13.2)#3817.0%(-9.44)#5,869
39.292067.6%20.7%(-13.2)#3917.0%(-9.40)#5,909
40.294747.7%20.7%(-13.0)#4017.0%(-9.28)#6,021
41.296017.7%20.7%(-13.0)#4117.0%(-9.25)#6,068
42.291267.8%20.7%(-13.0)#4217.0%(-9.21)#6,105
43.294127.9%20.7%(-12.9)#4317.0%(-9.10)#6,194
44.296898.5%20.7%(-12.2)#4417.0%(-8.49)#6,664
45.291278.6%20.7%(-12.1)#4517.0%(-8.36)#6,755
46.292298.7%20.7%(-12.0)#4617.0%(-8.25)#6,838
47.293698.8%20.7%(-11.9)#4717.0%(-8.16)#6,904
48.293748.9%20.7%(-11.8)#4817.0%(-8.07)#6,994
49.296628.9%20.7%(-11.8)#4917.0%(-8.07)#6,998
50.290619.0%20.7%(-11.8)#5017.0%(-7.99)#7,056
51.296709.1%20.7%(-11.7)#5117.0%(-7.92)#7,106
52.294149.2%20.7%(-11.5)#5217.0%(-7.75)#7,232
53.293169.4%20.7%(-11.3)#5317.0%(-7.53)#7,421
54.296979.5%20.7%(-11.3)#5417.0%(-7.52)#7,424
55.296729.5%20.7%(-11.2)#5517.0%(-7.43)#7,493
56.297269.7%20.7%(-11.1)#5617.0%(-7.31)#7,587
57.293729.7%20.7%(-11.0)#5717.0%(-7.27)#7,617
58.292059.7%20.7%(-11.0)#5817.0%(-7.27)#7,619
59.298099.8%20.7%(-11.0)#5917.0%(-7.19)#7,702
60.293239.9%20.7%(-10.8)#6017.0%(-7.08)#7,777
61.2946110.2%20.7%(-10.5)#6117.0%(-6.78)#8,010
62.2946410.3%20.7%(-10.5)#6217.0%(-6.70)#8,073
63.2901810.6%20.7%(-10.1)#6317.0%(-6.37)#8,309
64.2906310.7%20.7%(-10.0)#6417.0%(-6.26)#8,378
65.2985110.7%20.7%(-10.0)#6517.0%(-6.25)#8,397
66.2904510.8%20.7%(-9.95)#6617.0%(-6.19)#8,444
67.2968010.9%20.7%(-9.82)#6717.0%(-6.06)#8,542
68.2991011.0%20.7%(-9.74)#6817.0%(-5.98)#8,595
69.2974211.1%20.7%(-9.63)#6917.0%(-5.86)#8,677
70.2956711.1%20.7%(-9.63)#7017.0%(-5.86)#8,696
71.2963011.2%20.7%(-9.57)#7117.0%(-5.81)#8,740
72.2943211.4%20.7%(-9.33)#7217.0%(-5.57)#8,907
73.2915211.5%20.7%(-9.22)#7317.0%(-5.45)#8,996
74.2968711.5%20.7%(-9.20)#7417.0%(-5.44)#9,012
75.2968411.8%20.7%(-8.99)#7517.0%(-5.22)#9,136
76.2958811.8%20.7%(-8.98)#7617.0%(-5.22)#9,140
77.2935111.8%20.7%(-8.90)#7717.0%(-5.13)#9,217
78.2984211.9%20.7%(-8.86)#7817.0%(-5.10)#9,241
79.2940411.9%20.7%(-8.81)#7917.0%(-5.05)#9,290
80.2965312.3%20.7%(-8.48)#8017.0%(-4.72)#9,506
81.2967112.3%20.7%(-8.39)#8117.0%(-4.63)#9,567
82.2903112.5%20.7%(-8.24)#8217.0%(-4.48)#9,651
83.2936412.5%20.7%(-8.24)#8317.0%(-4.48)#9,668
84.2973212.6%20.7%(-8.10)#8417.0%(-4.33)#9,754
85.2983112.7%20.7%(-8.05)#8517.0%(-4.29)#9,787
86.2916112.7%20.7%(-8.05)#8617.0%(-4.29)#9,788
87.2957912.7%20.7%(-8.05)#8717.0%(-4.29)#9,791
88.2933412.8%20.7%(-7.94)#8817.0%(-4.18)#9,859
89.2900913.0%20.7%(-7.76)#8917.0%(-4.00)#9,988
90.2944513.0%20.7%(-7.71)#9017.0%(-3.95)#10,020
91.2915413.0%20.7%(-7.71)#9117.0%(-3.94)#10,021
92.2916313.0%20.7%(-7.69)#9217.0%(-3.93)#10,032
93.2947513.4%20.7%(-7.34)#9317.0%(-3.57)#10,274
94.2905413.4%20.7%(-7.29)#9417.0%(-3.53)#10,305
95.2971013.5%20.7%(-7.19)#9517.0%(-3.43)#10,379
96.2906513.6%20.7%(-7.10)#9617.0%(-3.34)#10,444
97.2969113.7%20.7%(-7.04)#9717.0%(-3.28)#10,472
98.2900613.7%20.7%(-7.04)#9817.0%(-3.28)#10,477
99.2921213.8%20.7%(-6.89)#9917.0%(-3.13)#10,578
100.2944014.1%20.7%(-6.64)#10017.0%(-2.88)#10,759

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Carolina?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Carolina are:
#1
0.77%
#2
1.3%
#3
1.8%
#4
2.3%
#5
2.6%
#6
2.8%
#7
3.0%
#8
3.0%
#9
3.1%
#10
3.2%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Carolina?
29130 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in South Carolina with 0.77%.
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%.