Zip Codes with the Most Births per 1,000 Women in Labor Force in South Carolina

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Highest Birth Rate | In Labor Force
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 in Labor Force in South Carolina

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1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in South Carolina Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in South Carolina

Zip Code Births / 1,000 Women vs State vs National
1.29037907.049.0(+858)#148.0(+859)#54
2.29816759.049.0(+710)#248.0(+711)#66
3.29471322.049.0(+273)#348.0(+274)#412
4.29845314.049.0(+265)#448.0(+266)#427
5.29439250.049.0(+201)#548.0(+202)#647
6.29838238.049.0(+189)#648.0(+190)#724
7.29742215.049.0(+166)#748.0(+167)#872
8.29446200.049.0(+151)#848.0(+152)#981
9.29451195.049.0(+146)#948.0(+147)#1,059
10.29133177.049.0(+128)#1048.0(+129)#1,237
11.29704170.049.0(+121)#1148.0(+122)#1,332
12.29081170.049.0(+121)#1248.0(+122)#1,336
13.29468167.049.0(+118)#1348.0(+119)#1,374
14.29163164.049.0(+115)#1448.0(+116)#1,428
15.29030163.049.0(+114)#1548.0(+115)#1,443
16.29530160.049.0(+111)#1648.0(+112)#1,491
17.29384159.049.0(+110)#1748.0(+111)#1,511
18.29540152.049.0(+103)#1848.0(+104)#1,638
19.29853137.049.0(+88.0)#1948.0(+89.0)#1,987
20.29728136.049.0(+87.0)#2048.0(+88.0)#2,008
21.29692133.049.0(+84.0)#2148.0(+85.0)#2,098
22.29940133.049.0(+84.0)#2248.0(+85.0)#2,102
23.29152132.049.0(+83.0)#2348.0(+84.0)#2,131
24.29448129.049.0(+80.0)#2448.0(+81.0)#2,220
25.29052129.049.0(+80.0)#2548.0(+81.0)#2,221
26.29111129.049.0(+80.0)#2648.0(+81.0)#2,227
27.29918126.049.0(+77.0)#2748.0(+78.0)#2,317
28.29842124.049.0(+75.0)#2848.0(+76.0)#2,386
29.29584123.049.0(+74.0)#2948.0(+75.0)#2,424
30.29690117.049.0(+68.0)#3048.0(+69.0)#2,626
31.29697117.049.0(+68.0)#3148.0(+69.0)#2,630
32.29129116.049.0(+67.0)#3248.0(+68.0)#2,673
33.29404116.049.0(+67.0)#3348.0(+68.0)#2,683
34.29555115.049.0(+66.0)#3448.0(+67.0)#2,717
35.29714114.049.0(+65.0)#3548.0(+66.0)#2,760
36.29332114.049.0(+65.0)#3648.0(+66.0)#2,762
37.29627113.049.0(+64.0)#3748.0(+65.0)#2,792
38.29432108.049.0(+59.0)#3848.0(+60.0)#3,069
39.29206107.049.0(+58.0)#3948.0(+59.0)#3,091
40.29127107.049.0(+58.0)#4048.0(+59.0)#3,101
41.29055104.049.0(+55.0)#4148.0(+56.0)#3,272
42.29306103.049.0(+54.0)#4248.0(+55.0)#3,305
43.29010103.049.0(+54.0)#4348.0(+55.0)#3,312
44.29001101.049.0(+52.0)#4448.0(+53.0)#3,468
45.29583100.049.0(+51.0)#4548.0(+52.0)#3,503
46.2952099.049.0(+50.0)#4648.0(+51.0)#3,560
47.2963898.049.0(+49.0)#4748.0(+50.0)#3,649
48.2911298.049.0(+49.0)#4848.0(+50.0)#3,651
49.2915497.049.0(+48.0)#4948.0(+49.0)#3,687
50.2955697.049.0(+48.0)#5048.0(+49.0)#3,695
51.2937497.049.0(+48.0)#5148.0(+49.0)#3,724
52.2906796.049.0(+47.0)#5248.0(+48.0)#3,773
53.2982196.049.0(+47.0)#5348.0(+48.0)#3,814
54.2993694.049.0(+45.0)#5448.0(+46.0)#3,897
55.2905994.049.0(+45.0)#5548.0(+46.0)#3,911
56.2948593.049.0(+44.0)#5648.0(+45.0)#3,958
57.2918093.049.0(+44.0)#5748.0(+45.0)#3,975
58.2966191.049.0(+42.0)#5848.0(+43.0)#4,131
59.2945891.049.0(+42.0)#5948.0(+43.0)#4,156
60.2904089.049.0(+40.0)#6048.0(+41.0)#4,324
61.2992088.049.0(+39.0)#6148.0(+40.0)#4,416
62.2944988.049.0(+39.0)#6248.0(+40.0)#4,424
63.2916087.049.0(+38.0)#6348.0(+39.0)#4,529
64.2985186.049.0(+37.0)#6448.0(+38.0)#4,621
65.2986085.049.0(+36.0)#6548.0(+37.0)#4,710
66.2962485.049.0(+36.0)#6648.0(+37.0)#4,717
67.2992484.049.0(+35.0)#6748.0(+36.0)#4,842
68.2959084.049.0(+35.0)#6848.0(+36.0)#4,847
69.2981084.049.0(+35.0)#6948.0(+36.0)#4,848
70.2940783.049.0(+34.0)#7048.0(+35.0)#4,888
71.2943883.049.0(+34.0)#7148.0(+35.0)#4,960
72.2912683.049.0(+34.0)#7248.0(+35.0)#4,962
73.2904782.049.0(+33.0)#7348.0(+34.0)#5,075
74.2932182.049.0(+33.0)#7448.0(+34.0)#5,080
75.2955081.049.0(+32.0)#7548.0(+33.0)#5,140
76.2948880.049.0(+31.0)#7648.0(+32.0)#5,257
77.2951080.049.0(+31.0)#7748.0(+32.0)#5,281
78.2938579.049.0(+30.0)#7848.0(+31.0)#5,406
79.2935379.049.0(+30.0)#7948.0(+31.0)#5,429
80.2917078.049.0(+29.0)#8048.0(+30.0)#5,500
81.2913578.049.0(+29.0)#8148.0(+30.0)#5,531
82.2983178.049.0(+29.0)#8248.0(+30.0)#5,548
83.2994478.049.0(+29.0)#8348.0(+30.0)#5,549
84.2964577.049.0(+28.0)#8448.0(+29.0)#5,649
85.2912377.049.0(+28.0)#8548.0(+29.0)#5,664
86.2941876.049.0(+27.0)#8648.0(+28.0)#5,776
87.2951676.049.0(+27.0)#8748.0(+28.0)#5,868
88.2972075.049.0(+26.0)#8848.0(+27.0)#5,883
89.2907075.049.0(+26.0)#8948.0(+27.0)#5,912
90.2917275.049.0(+26.0)#9048.0(+27.0)#5,931
91.2967675.049.0(+26.0)#9148.0(+27.0)#5,935
92.2948274.049.0(+25.0)#9248.0(+26.0)#6,115
93.2933473.049.0(+24.0)#9348.0(+25.0)#6,204
94.2940173.049.0(+24.0)#9448.0(+25.0)#6,233
95.2916473.049.0(+24.0)#9548.0(+25.0)#6,254
96.2920372.049.0(+23.0)#9648.0(+24.0)#6,322
97.2970772.049.0(+23.0)#9748.0(+24.0)#6,340
98.2932272.049.0(+23.0)#9848.0(+24.0)#6,390
99.2948172.049.0(+23.0)#9948.0(+24.0)#6,456
100.2992272.049.0(+23.0)#10048.0(+24.0)#6,468

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in South Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in South Carolina are:
#1
907.0
#2
759.0
#3
322.0
#4
314.0
#5
250.0
#6
238.0
#7
215.0
#8
200.0
#9
195.0
#10
177.0
What zip code has the Most Births per 1,000 Women in Labor Force in South Carolina?
29037 has the Most Births per 1,000 Women in Labor Force in South Carolina with 907.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of South Carolina?
Number of Births per 1,000 Women in Labor Force in South Carolina is 49.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.