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

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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
Georgia
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Georgia

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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Georgia Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 30013 2.0 47.0 (-45.0)#1 48.0 (-46.0)#13
2. 31063 2.0 47.0 (-45.0)#2 48.0 (-46.0)#26
3. 30183 3.0 47.0 (-44.0)#3 48.0 (-45.0)#61
4. 30303 3.0 47.0 (-44.0)#4 48.0 (-45.0)#65
5. 31775 3.0 47.0 (-44.0)#5 48.0 (-45.0)#79
6. 31805 3.0 47.0 (-44.0)#6 48.0 (-45.0)#86
7. 31546 4.0 47.0 (-43.0)#7 48.0 (-44.0)#108
8. 31778 5.0 47.0 (-42.0)#8 48.0 (-43.0)#214
9. 31065 6.0 47.0 (-41.0)#9 48.0 (-42.0)#298
10. 30309 7.0 47.0 (-40.0)#10 48.0 (-41.0)#313
11. 31027 7.0 47.0 (-40.0)#11 48.0 (-41.0)#332
12. 31901 7.0 47.0 (-40.0)#12 48.0 (-41.0)#352
13. 30012 8.0 47.0 (-39.0)#13 48.0 (-40.0)#411
14. 30642 8.0 47.0 (-39.0)#14 48.0 (-40.0)#427
15. 30525 8.0 47.0 (-39.0)#15 48.0 (-40.0)#452
16. 30567 8.0 47.0 (-39.0)#16 48.0 (-40.0)#477
17. 30808 8.0 47.0 (-39.0)#17 48.0 (-40.0)#485
18. 30055 8.0 47.0 (-39.0)#18 48.0 (-40.0)#491
19. 30575 9.0 47.0 (-38.0)#19 48.0 (-39.0)#639
20. 31097 9.0 47.0 (-38.0)#20 48.0 (-39.0)#653
21. 31071 9.0 47.0 (-38.0)#21 48.0 (-39.0)#654
22. 30308 10.0 47.0 (-37.0)#22 48.0 (-38.0)#683
23. 39819 10.0 47.0 (-37.0)#23 48.0 (-38.0)#708
24. 31645 10.0 47.0 (-37.0)#24 48.0 (-38.0)#758
25. 31079 10.0 47.0 (-37.0)#25 48.0 (-38.0)#777
26. 31560 10.0 47.0 (-37.0)#26 48.0 (-38.0)#780
27. 30017 11.0 47.0 (-36.0)#27 48.0 (-37.0)#837
28. 31801 11.0 47.0 (-36.0)#28 48.0 (-37.0)#941
29. 31060 11.0 47.0 (-36.0)#29 48.0 (-37.0)#956
30. 31549 11.0 47.0 (-36.0)#30 48.0 (-37.0)#962
31. 30736 12.0 47.0 (-35.0)#31 48.0 (-36.0)#996
32. 39823 12.0 47.0 (-35.0)#32 48.0 (-36.0)#1,051
33. 30802 12.0 47.0 (-35.0)#33 48.0 (-36.0)#1,069
34. 30582 12.0 47.0 (-35.0)#34 48.0 (-36.0)#1,082
35. 30738 12.0 47.0 (-35.0)#35 48.0 (-36.0)#1,096
36. 31650 12.0 47.0 (-35.0)#36 48.0 (-36.0)#1,098
37. 30277 13.0 47.0 (-34.0)#37 48.0 (-35.0)#1,177
38. 30814 13.0 47.0 (-34.0)#38 48.0 (-35.0)#1,220
39. 30535 13.0 47.0 (-34.0)#39 48.0 (-35.0)#1,228
40. 30558 13.0 47.0 (-34.0)#40 48.0 (-35.0)#1,257
41. 31543 13.0 47.0 (-34.0)#41 48.0 (-35.0)#1,266
42. 30056 13.0 47.0 (-34.0)#42 48.0 (-35.0)#1,301
43. 30741 14.0 47.0 (-33.0)#43 48.0 (-34.0)#1,357
44. 30725 14.0 47.0 (-33.0)#44 48.0 (-34.0)#1,439
45. 31631 14.0 47.0 (-33.0)#45 48.0 (-34.0)#1,528
46. 30092 15.0 47.0 (-32.0)#46 48.0 (-33.0)#1,542
47. 30531 15.0 47.0 (-32.0)#47 48.0 (-33.0)#1,585
48. 31804 15.0 47.0 (-32.0)#48 48.0 (-33.0)#1,623
49. 30816 15.0 47.0 (-32.0)#49 48.0 (-33.0)#1,680
50. 30005 16.0 47.0 (-31.0)#50 48.0 (-32.0)#1,734
51. 30179 16.0 47.0 (-31.0)#51 48.0 (-32.0)#1,771
52. 31019 16.0 47.0 (-31.0)#52 48.0 (-32.0)#1,864
53. 30265 17.0 47.0 (-30.0)#53 48.0 (-31.0)#1,934
54. 30286 17.0 47.0 (-30.0)#54 48.0 (-31.0)#1,952
55. 30530 17.0 47.0 (-30.0)#55 48.0 (-31.0)#2,000
56. 31098 17.0 47.0 (-30.0)#56 48.0 (-31.0)#2,035
57. 31085 17.0 47.0 (-30.0)#57 48.0 (-31.0)#2,085
58. 31516 18.0 47.0 (-29.0)#58 48.0 (-30.0)#2,172
59. 31023 18.0 47.0 (-29.0)#59 48.0 (-30.0)#2,177
60. 31018 18.0 47.0 (-29.0)#60 48.0 (-30.0)#2,253
61. 30450 18.0 47.0 (-29.0)#61 48.0 (-30.0)#2,268
62. 30122 19.0 47.0 (-28.0)#62 48.0 (-29.0)#2,347
63. 31793 19.0 47.0 (-28.0)#63 48.0 (-29.0)#2,413
64. 31308 19.0 47.0 (-28.0)#64 48.0 (-29.0)#2,418
65. 30662 19.0 47.0 (-28.0)#65 48.0 (-29.0)#2,421
66. 30011 20.0 47.0 (-27.0)#66 48.0 (-28.0)#2,595
67. 31305 20.0 47.0 (-27.0)#67 48.0 (-28.0)#2,692
68. 31068 20.0 47.0 (-27.0)#68 48.0 (-28.0)#2,700
69. 30342 21.0 47.0 (-26.0)#69 48.0 (-27.0)#2,822
70. 30106 21.0 47.0 (-26.0)#70 48.0 (-27.0)#2,846
71. 31906 21.0 47.0 (-26.0)#71 48.0 (-27.0)#2,863
72. 31411 21.0 47.0 (-26.0)#72 48.0 (-27.0)#2,914
73. 31765 21.0 47.0 (-26.0)#73 48.0 (-27.0)#2,993
74. 30537 21.0 47.0 (-26.0)#74 48.0 (-27.0)#3,032
75. 30331 22.0 47.0 (-25.0)#75 48.0 (-26.0)#3,061
76. 30067 22.0 47.0 (-25.0)#76 48.0 (-26.0)#3,070
77. 30143 22.0 47.0 (-25.0)#77 48.0 (-26.0)#3,101
78. 30607 22.0 47.0 (-25.0)#78 48.0 (-26.0)#3,162
79. 30145 22.0 47.0 (-25.0)#79 48.0 (-26.0)#3,167
80. 30753 22.0 47.0 (-25.0)#80 48.0 (-26.0)#3,172
81. 30553 22.0 47.0 (-25.0)#81 48.0 (-26.0)#3,173
82. 30734 22.0 47.0 (-25.0)#82 48.0 (-26.0)#3,231
83. 30312 23.0 47.0 (-24.0)#83 48.0 (-25.0)#3,353
84. 31545 23.0 47.0 (-24.0)#84 48.0 (-25.0)#3,397
85. 31771 23.0 47.0 (-24.0)#85 48.0 (-25.0)#3,439
86. 30113 23.0 47.0 (-24.0)#86 48.0 (-25.0)#3,456
87. 30079 23.0 47.0 (-24.0)#87 48.0 (-25.0)#3,474
88. 30446 23.0 47.0 (-24.0)#88 48.0 (-25.0)#3,523
89. 30341 24.0 47.0 (-23.0)#89 48.0 (-24.0)#3,607
90. 30009 24.0 47.0 (-23.0)#90 48.0 (-24.0)#3,649
91. 30427 24.0 47.0 (-23.0)#91 48.0 (-24.0)#3,690
92. 30439 24.0 47.0 (-23.0)#92 48.0 (-24.0)#3,698
93. 31730 24.0 47.0 (-23.0)#93 48.0 (-24.0)#3,717
94. 30415 24.0 47.0 (-23.0)#94 48.0 (-24.0)#3,741
95. 31092 24.0 47.0 (-23.0)#95 48.0 (-24.0)#3,754
96. 30171 24.0 47.0 (-23.0)#96 48.0 (-24.0)#3,784
97. 31830 24.0 47.0 (-23.0)#97 48.0 (-24.0)#3,791
98. 30252 25.0 47.0 (-22.0)#98 48.0 (-23.0)#3,870
99. 30097 25.0 47.0 (-22.0)#99 48.0 (-23.0)#3,872
100. 30054 25.0 47.0 (-22.0)#100 48.0 (-23.0)#3,983

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Georgia?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Georgia are:
#1
2.0
#2
2.0
#3
3.0
#4
3.0
#5
3.0
#6
3.0
#7
4.0
#8
5.0
#9
6.0
#10
7.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Georgia?
30013 has the Lowest Births per 1,000 Women in Labor Force in Georgia with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Georgia?
Number Births per 1,000 Women in Labor Force in Georgia is 47.0.
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.