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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in South Carolina

40.0
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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina Map

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

Zip Code Births / 1,000 Women vs State vs National
1.295113.049.0(-46.0)#148.0(-45.0)#63
2.296844.049.0(-45.0)#248.0(-44.0)#123
3.293724.049.0(-45.0)#348.0(-44.0)#140
4.295665.049.0(-44.0)#448.0(-43.0)#170
5.292077.049.0(-42.0)#548.0(-41.0)#335
6.291427.049.0(-42.0)#648.0(-41.0)#362
7.296918.049.0(-41.0)#748.0(-40.0)#430
8.296538.049.0(-41.0)#848.0(-40.0)#488
9.290568.049.0(-41.0)#948.0(-40.0)#513
10.290619.049.0(-40.0)#1048.0(-39.0)#572
11.295919.049.0(-40.0)#1148.0(-39.0)#606
12.2963111.049.0(-38.0)#1248.0(-37.0)#850
13.2957211.049.0(-38.0)#1348.0(-37.0)#861
14.2947711.049.0(-38.0)#1448.0(-37.0)#884
15.2943511.049.0(-38.0)#1548.0(-37.0)#915
16.2981212.049.0(-37.0)#1648.0(-36.0)#1,039
17.2958513.049.0(-36.0)#1748.0(-35.0)#1,199
18.2953214.049.0(-35.0)#1848.0(-34.0)#1,373
19.2932314.049.0(-35.0)#1948.0(-34.0)#1,382
20.2914814.049.0(-35.0)#2048.0(-34.0)#1,427
21.2994514.049.0(-35.0)#2148.0(-34.0)#1,444
22.2958215.049.0(-34.0)#2248.0(-33.0)#1,558
23.2920415.049.0(-34.0)#2348.0(-33.0)#1,562
24.2954116.049.0(-33.0)#2448.0(-32.0)#1,795
25.2933016.049.0(-33.0)#2548.0(-32.0)#1,804
26.2971816.049.0(-33.0)#2648.0(-32.0)#1,844
27.2954716.049.0(-33.0)#2748.0(-32.0)#1,870
28.2957717.049.0(-32.0)#2848.0(-31.0)#1,937
29.2920117.049.0(-32.0)#2948.0(-31.0)#1,953
30.2970917.049.0(-32.0)#3048.0(-31.0)#2,019
31.2946618.049.0(-31.0)#3148.0(-30.0)#2,117
32.2904518.049.0(-31.0)#3248.0(-30.0)#2,130
33.2992618.049.0(-31.0)#3348.0(-30.0)#2,142
34.2915319.049.0(-30.0)#3448.0(-29.0)#2,387
35.2916119.049.0(-30.0)#3548.0(-29.0)#2,403
36.2912519.049.0(-30.0)#3648.0(-29.0)#2,473
37.2952620.049.0(-29.0)#3748.0(-28.0)#2,547
38.2938820.049.0(-29.0)#3848.0(-28.0)#2,614
39.2966220.049.0(-29.0)#3948.0(-28.0)#2,624
40.2945020.049.0(-29.0)#4048.0(-28.0)#2,724
41.2900920.049.0(-29.0)#4148.0(-28.0)#2,737
42.2914620.049.0(-29.0)#4248.0(-28.0)#2,764
43.2958821.049.0(-28.0)#4348.0(-27.0)#2,806
44.2953621.049.0(-28.0)#4448.0(-27.0)#2,882
45.2992721.049.0(-28.0)#4548.0(-27.0)#2,908
46.2960722.049.0(-27.0)#4648.0(-26.0)#3,073
47.2990723.049.0(-26.0)#4748.0(-25.0)#3,398
48.2951224.049.0(-25.0)#4848.0(-24.0)#3,662
49.2982424.049.0(-25.0)#4948.0(-24.0)#3,726
50.2913724.049.0(-25.0)#5048.0(-24.0)#3,790
51.2935625.049.0(-24.0)#5148.0(-23.0)#4,012
52.2943125.049.0(-24.0)#5248.0(-23.0)#4,026
53.2905825.049.0(-24.0)#5348.0(-23.0)#4,036
54.2963526.049.0(-23.0)#5448.0(-22.0)#4,395
55.2920527.049.0(-22.0)#5548.0(-21.0)#4,518
56.2960127.049.0(-22.0)#5648.0(-21.0)#4,572
57.2945528.049.0(-21.0)#5748.0(-20.0)#4,804
58.2936028.049.0(-21.0)#5848.0(-20.0)#4,817
59.2965528.049.0(-21.0)#5948.0(-20.0)#4,888
60.2973029.049.0(-20.0)#6048.0(-19.0)#5,029
61.2941029.049.0(-20.0)#6148.0(-19.0)#5,103
62.2963029.049.0(-20.0)#6248.0(-19.0)#5,121
63.2936529.049.0(-20.0)#6348.0(-19.0)#5,125
64.2937629.049.0(-20.0)#6448.0(-19.0)#5,158
65.2985629.049.0(-20.0)#6548.0(-19.0)#5,226
66.2908029.049.0(-20.0)#6648.0(-19.0)#5,230
67.2901630.049.0(-19.0)#6748.0(-18.0)#5,378
68.2967230.049.0(-19.0)#6848.0(-18.0)#5,461
69.2967030.049.0(-19.0)#6948.0(-18.0)#5,470
70.2906331.049.0(-18.0)#7048.0(-17.0)#5,632
71.2932531.049.0(-18.0)#7148.0(-17.0)#5,741
72.2966931.049.0(-18.0)#7248.0(-17.0)#5,742
73.2905431.049.0(-18.0)#7348.0(-17.0)#5,761
74.2900631.049.0(-18.0)#7448.0(-17.0)#5,764
75.2942631.049.0(-18.0)#7548.0(-17.0)#5,855
76.2947932.049.0(-17.0)#7648.0(-16.0)#6,082
77.2972932.049.0(-17.0)#7748.0(-16.0)#6,163
78.2961533.049.0(-16.0)#7848.0(-15.0)#6,275
79.2944033.049.0(-16.0)#7948.0(-15.0)#6,321
80.2990933.049.0(-16.0)#8048.0(-15.0)#6,333
81.2956833.049.0(-16.0)#8148.0(-15.0)#6,371
82.2955433.049.0(-16.0)#8248.0(-15.0)#6,412
83.2971733.049.0(-16.0)#8348.0(-15.0)#6,511
84.2903634.049.0(-15.0)#8448.0(-14.0)#6,650
85.2967834.049.0(-15.0)#8548.0(-14.0)#6,659
86.2902034.049.0(-15.0)#8648.0(-14.0)#6,669
87.2993534.049.0(-15.0)#8748.0(-14.0)#6,774
88.2959334.049.0(-15.0)#8848.0(-14.0)#6,805
89.2971535.049.0(-14.0)#8948.0(-13.0)#6,901
90.2990635.049.0(-14.0)#9048.0(-13.0)#6,953
91.2990235.049.0(-14.0)#9148.0(-13.0)#6,992
92.2910235.049.0(-14.0)#9248.0(-13.0)#6,999
93.2947235.049.0(-14.0)#9348.0(-13.0)#7,020
94.2913835.049.0(-14.0)#9448.0(-13.0)#7,024
95.2957936.049.0(-13.0)#9548.0(-12.0)#7,183
96.2991036.049.0(-13.0)#9648.0(-12.0)#7,186
97.2957536.049.0(-13.0)#9748.0(-12.0)#7,277
98.2900336.049.0(-13.0)#9848.0(-12.0)#7,365
99.2954636.049.0(-13.0)#9948.0(-12.0)#7,394
100.2911436.049.0(-13.0)#10048.0(-12.0)#7,424

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in South Carolina are:
#1
3.0
#2
4.0
#3
4.0
#4
5.0
#5
7.0
#6
7.0
#7
8.0
#8
8.0
#9
8.0
#10
9.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in South Carolina?
29511 has the Lowest Births per 1,000 Women in Labor Force in South Carolina with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of South Carolina?
Number Births per 1,000 Women in Labor Force in South Carolina is 49.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.