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
1.29816765.055.0(+710)#153.0(+712)#74
2.29037484.055.0(+429)#253.0(+431)#188
3.29916416.055.0(+361)#353.0(+363)#243
4.29845283.055.0(+228)#453.0(+230)#514
5.29471274.055.0(+219)#553.0(+221)#547
6.29439250.055.0(+195)#653.0(+197)#648
7.29437203.055.0(+148)#753.0(+150)#943
8.29446200.055.0(+145)#853.0(+147)#977
9.29849197.055.0(+142)#953.0(+144)#1,025
10.29404189.055.0(+134)#1053.0(+136)#1,107
11.29545177.055.0(+122)#1153.0(+124)#1,253
12.29918174.055.0(+119)#1253.0(+121)#1,290
13.29742173.055.0(+118)#1353.0(+120)#1,316
14.29355168.055.0(+113)#1453.0(+115)#1,410
15.29717151.055.0(+96.0)#1553.0(+98.0)#1,730
16.29704149.055.0(+94.0)#1653.0(+96.0)#1,764
17.29540145.055.0(+90.0)#1753.0(+92.0)#1,859
18.29468144.055.0(+89.0)#1853.0(+91.0)#1,887
19.29451143.055.0(+88.0)#1953.0(+90.0)#1,910
20.29047138.055.0(+83.0)#2053.0(+85.0)#2,053
21.29940136.055.0(+81.0)#2153.0(+83.0)#2,116
22.29030130.055.0(+75.0)#2253.0(+77.0)#2,319
23.29583128.055.0(+73.0)#2353.0(+75.0)#2,394
24.29627125.055.0(+70.0)#2453.0(+72.0)#2,502
25.29384125.055.0(+70.0)#2553.0(+72.0)#2,518
26.29530123.055.0(+68.0)#2653.0(+70.0)#2,613
27.29351121.055.0(+66.0)#2753.0(+68.0)#2,717
28.29113119.055.0(+64.0)#2853.0(+66.0)#2,779
29.29154118.055.0(+63.0)#2953.0(+65.0)#2,804
30.29081118.055.0(+63.0)#3053.0(+65.0)#2,842
31.29821118.055.0(+63.0)#3153.0(+65.0)#2,845
32.29856116.055.0(+61.0)#3253.0(+63.0)#2,927
33.29690114.055.0(+59.0)#3353.0(+61.0)#3,016
34.29448112.055.0(+57.0)#3453.0(+59.0)#3,146
35.29172110.055.0(+55.0)#3553.0(+57.0)#3,255
36.29842108.055.0(+53.0)#3653.0(+55.0)#3,380
37.29001108.055.0(+53.0)#3753.0(+55.0)#3,400
38.29123107.055.0(+52.0)#3853.0(+54.0)#3,435
39.29692105.055.0(+50.0)#3953.0(+52.0)#3,594
40.29206104.055.0(+49.0)#4053.0(+51.0)#3,638
41.29847104.055.0(+49.0)#4153.0(+51.0)#3,662
42.29924103.055.0(+48.0)#4253.0(+50.0)#3,728
43.29133103.055.0(+48.0)#4353.0(+50.0)#3,767
44.29010102.055.0(+47.0)#4453.0(+49.0)#3,797
45.29728102.055.0(+47.0)#4553.0(+49.0)#3,799
46.29676102.055.0(+47.0)#4653.0(+49.0)#3,806
47.29570102.055.0(+47.0)#4753.0(+49.0)#3,814
48.29152102.055.0(+47.0)#4853.0(+49.0)#3,829
49.29341101.055.0(+46.0)#4953.0(+48.0)#3,870
50.29706100.055.0(+45.0)#5053.0(+47.0)#3,922
51.29163100.055.0(+45.0)#5153.0(+47.0)#3,980
52.29838100.055.0(+45.0)#5253.0(+47.0)#3,991
53.2970299.055.0(+44.0)#5353.0(+46.0)#4,037
54.2964598.055.0(+43.0)#5453.0(+45.0)#4,114
55.2906797.055.0(+42.0)#5553.0(+44.0)#4,203
56.2921096.055.0(+41.0)#5653.0(+43.0)#4,281
57.2985396.055.0(+41.0)#5753.0(+43.0)#4,318
58.2968995.055.0(+40.0)#5853.0(+42.0)#4,417
59.2940794.055.0(+39.0)#5953.0(+41.0)#4,479
60.2992094.055.0(+39.0)#6053.0(+41.0)#4,502
61.2945893.055.0(+38.0)#6153.0(+40.0)#4,610
62.2918091.055.0(+36.0)#6253.0(+38.0)#4,770
63.2964490.055.0(+35.0)#6353.0(+37.0)#4,869
64.2969790.055.0(+35.0)#6453.0(+37.0)#4,882
65.2933290.055.0(+35.0)#6553.0(+37.0)#4,917
66.2920389.055.0(+34.0)#6653.0(+36.0)#4,960
67.2930688.055.0(+33.0)#6753.0(+35.0)#5,077
68.2912688.055.0(+33.0)#6853.0(+35.0)#5,120
69.2913887.055.0(+32.0)#6953.0(+34.0)#5,216
70.2962486.055.0(+31.0)#7053.0(+33.0)#5,331
71.2955586.055.0(+31.0)#7153.0(+33.0)#5,354
72.2912986.055.0(+31.0)#7253.0(+33.0)#5,363
73.2951085.055.0(+30.0)#7353.0(+32.0)#5,465
74.2932285.055.0(+30.0)#7453.0(+32.0)#5,466
75.2971485.055.0(+30.0)#7553.0(+32.0)#5,502
76.2955684.055.0(+29.0)#7653.0(+31.0)#5,599
77.2912783.055.0(+28.0)#7753.0(+30.0)#5,727
78.2938583.055.0(+28.0)#7853.0(+30.0)#5,729
79.2937483.055.0(+28.0)#7953.0(+30.0)#5,767
80.2912283.055.0(+28.0)#8053.0(+30.0)#5,821
81.2952082.055.0(+27.0)#8153.0(+29.0)#5,867
82.2959082.055.0(+27.0)#8253.0(+29.0)#5,909
83.2981081.055.0(+26.0)#8353.0(+28.0)#6,060
84.2958081.055.0(+26.0)#8453.0(+28.0)#6,106
85.2948580.055.0(+25.0)#8553.0(+27.0)#6,139
86.2961779.055.0(+24.0)#8653.0(+26.0)#6,310
87.2941879.055.0(+24.0)#8753.0(+26.0)#6,313
88.2949279.055.0(+24.0)#8853.0(+26.0)#6,331
89.2985179.055.0(+24.0)#8953.0(+26.0)#6,364
90.2963878.055.0(+23.0)#9053.0(+25.0)#6,543
91.2940177.055.0(+22.0)#9153.0(+24.0)#6,667
92.2905977.055.0(+22.0)#9253.0(+24.0)#6,685
93.2972977.055.0(+22.0)#9353.0(+24.0)#6,723
94.2969376.055.0(+21.0)#9453.0(+23.0)#6,846
95.2993576.055.0(+21.0)#9553.0(+23.0)#6,882
96.2972776.055.0(+21.0)#9653.0(+23.0)#6,926
97.2917875.055.0(+20.0)#9753.0(+22.0)#7,065
98.2905374.055.0(+19.0)#9853.0(+21.0)#7,178
99.2986074.055.0(+19.0)#9953.0(+21.0)#7,184
100.2967074.055.0(+19.0)#10053.0(+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.