Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia

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Lowest 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
Georgia
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia

Zip Code Births / 1,000 Women vs State vs National
1. 30182 2.0 52.0 (-50.0)#1 53.0 (-51.0)#27
2. 31805 2.0 52.0 (-50.0)#2 53.0 (-51.0)#39
3. 30013 3.0 52.0 (-49.0)#3 53.0 (-50.0)#41
4. 30303 3.0 52.0 (-49.0)#4 53.0 (-50.0)#52
5. 31778 3.0 52.0 (-49.0)#5 53.0 (-50.0)#71
6. 31065 3.0 52.0 (-49.0)#6 53.0 (-50.0)#81
7. 31027 4.0 52.0 (-48.0)#7 53.0 (-49.0)#86
8. 30669 4.0 52.0 (-48.0)#8 53.0 (-49.0)#113
9. 30642 5.0 52.0 (-47.0)#9 53.0 (-48.0)#142
10. 30567 5.0 52.0 (-47.0)#10 53.0 (-48.0)#157
11. 31716 5.0 52.0 (-47.0)#11 53.0 (-48.0)#170
12. 31560 5.0 52.0 (-47.0)#12 53.0 (-48.0)#173
13. 31549 5.0 52.0 (-47.0)#13 53.0 (-48.0)#186
14. 31631 6.0 52.0 (-46.0)#14 53.0 (-47.0)#278
15. 39840 7.0 52.0 (-45.0)#15 53.0 (-46.0)#298
16. 31044 7.0 52.0 (-45.0)#16 53.0 (-46.0)#318
17. 30575 7.0 52.0 (-45.0)#17 53.0 (-46.0)#325
18. 31097 7.0 52.0 (-45.0)#18 53.0 (-46.0)#336
19. 31071 7.0 52.0 (-45.0)#19 53.0 (-46.0)#337
20. 30738 8.0 52.0 (-44.0)#20 53.0 (-45.0)#393
21. 30823 8.0 52.0 (-44.0)#21 53.0 (-45.0)#418
22. 30055 9.0 52.0 (-43.0)#22 53.0 (-44.0)#503
23. 30816 9.0 52.0 (-43.0)#23 53.0 (-44.0)#527
24. 31060 9.0 52.0 (-43.0)#24 53.0 (-44.0)#532
25. 31090 9.0 52.0 (-43.0)#25 53.0 (-44.0)#542
26. 30308 10.0 52.0 (-42.0)#26 53.0 (-43.0)#588
27. 30531 10.0 52.0 (-42.0)#27 53.0 (-43.0)#599
28. 30326 10.0 52.0 (-42.0)#28 53.0 (-43.0)#602
29. 30056 10.0 52.0 (-42.0)#29 53.0 (-43.0)#642
30. 39813 10.0 52.0 (-42.0)#30 53.0 (-43.0)#649
31. 31711 10.0 52.0 (-42.0)#31 53.0 (-43.0)#681
32. 30178 12.0 52.0 (-40.0)#32 53.0 (-41.0)#900
33. 30730 12.0 52.0 (-40.0)#33 53.0 (-41.0)#932
34. 31019 13.0 52.0 (-39.0)#34 53.0 (-40.0)#1,057
35. 31018 13.0 52.0 (-39.0)#35 53.0 (-40.0)#1,062
36. 30457 15.0 52.0 (-37.0)#36 53.0 (-38.0)#1,350
37. 31305 15.0 52.0 (-37.0)#37 53.0 (-38.0)#1,355
38. 30106 16.0 52.0 (-36.0)#38 53.0 (-37.0)#1,485
39. 30439 16.0 52.0 (-36.0)#39 53.0 (-37.0)#1,506
40. 31738 16.0 52.0 (-36.0)#40 53.0 (-37.0)#1,572
41. 31539 17.0 52.0 (-35.0)#41 53.0 (-36.0)#1,676
42. 30802 17.0 52.0 (-35.0)#42 53.0 (-36.0)#1,708
43. 30563 17.0 52.0 (-35.0)#43 53.0 (-36.0)#1,711
44. 31806 17.0 52.0 (-35.0)#44 53.0 (-36.0)#1,725
45. 30808 17.0 52.0 (-35.0)#45 53.0 (-36.0)#1,726
46. 30183 18.0 52.0 (-34.0)#46 53.0 (-35.0)#1,880
47. 31901 18.0 52.0 (-34.0)#47 53.0 (-35.0)#1,887
48. 30421 18.0 52.0 (-34.0)#48 53.0 (-35.0)#1,921
49. 30171 18.0 52.0 (-34.0)#49 53.0 (-35.0)#1,928
50. 30736 19.0 52.0 (-33.0)#50 53.0 (-34.0)#2,003
51. 31546 19.0 52.0 (-33.0)#51 53.0 (-34.0)#2,063
52. 30725 19.0 52.0 (-33.0)#52 53.0 (-34.0)#2,092
53. 31790 19.0 52.0 (-33.0)#53 53.0 (-34.0)#2,128
54. 30342 20.0 52.0 (-32.0)#54 53.0 (-33.0)#2,204
55. 30309 20.0 52.0 (-32.0)#55 53.0 (-33.0)#2,208
56. 30607 20.0 52.0 (-32.0)#56 53.0 (-33.0)#2,250
57. 31308 20.0 52.0 (-32.0)#57 53.0 (-33.0)#2,257
58. 31078 20.0 52.0 (-32.0)#58 53.0 (-33.0)#2,321
59. 30256 20.0 52.0 (-32.0)#59 53.0 (-33.0)#2,326
60. 30810 20.0 52.0 (-32.0)#60 53.0 (-33.0)#2,340
61. 30293 20.0 52.0 (-32.0)#61 53.0 (-33.0)#2,349
62. 31783 20.0 52.0 (-32.0)#62 53.0 (-33.0)#2,362
63. 30537 20.0 52.0 (-32.0)#63 53.0 (-33.0)#2,374
64. 30442 21.0 52.0 (-31.0)#64 53.0 (-32.0)#2,503
65. 31076 21.0 52.0 (-31.0)#65 53.0 (-32.0)#2,572
66. 30427 22.0 52.0 (-30.0)#66 53.0 (-31.0)#2,717
67. 31643 22.0 52.0 (-30.0)#67 53.0 (-31.0)#2,727
68. 31301 22.0 52.0 (-30.0)#68 53.0 (-31.0)#2,775
69. 30473 22.0 52.0 (-30.0)#69 53.0 (-31.0)#2,792
70. 31070 22.0 52.0 (-30.0)#70 53.0 (-31.0)#2,862
71. 30252 23.0 52.0 (-29.0)#71 53.0 (-30.0)#2,905
72. 30312 23.0 52.0 (-29.0)#72 53.0 (-30.0)#2,932
73. 31411 23.0 52.0 (-29.0)#73 53.0 (-30.0)#2,988
74. 31730 23.0 52.0 (-29.0)#74 53.0 (-30.0)#2,997
75. 31635 23.0 52.0 (-29.0)#75 53.0 (-30.0)#3,008
76. 30576 23.0 52.0 (-29.0)#76 53.0 (-30.0)#3,058
77. 30558 24.0 52.0 (-28.0)#77 53.0 (-29.0)#3,266
78. 31606 24.0 52.0 (-28.0)#78 53.0 (-29.0)#3,280
79. 30450 24.0 52.0 (-28.0)#79 53.0 (-29.0)#3,314
80. 31780 24.0 52.0 (-28.0)#80 53.0 (-29.0)#3,330
81. 31007 24.0 52.0 (-28.0)#81 53.0 (-29.0)#3,364
82. 30265 25.0 52.0 (-27.0)#82 53.0 (-28.0)#3,403
83. 30092 25.0 52.0 (-27.0)#83 53.0 (-28.0)#3,406
84. 30324 25.0 52.0 (-27.0)#84 53.0 (-28.0)#3,417
85. 30327 25.0 52.0 (-27.0)#85 53.0 (-28.0)#3,445
86. 30752 25.0 52.0 (-27.0)#86 53.0 (-28.0)#3,508
87. 30530 25.0 52.0 (-27.0)#87 53.0 (-28.0)#3,517
88. 39859 25.0 52.0 (-27.0)#88 53.0 (-28.0)#3,640
89. 31522 26.0 52.0 (-26.0)#89 53.0 (-27.0)#3,729
90. 30354 26.0 52.0 (-26.0)#90 53.0 (-27.0)#3,735
91. 31082 26.0 52.0 (-26.0)#91 53.0 (-27.0)#3,758
92. 30113 26.0 52.0 (-26.0)#92 53.0 (-27.0)#3,780
93. 30258 26.0 52.0 (-26.0)#93 53.0 (-27.0)#3,824
94. 39825 26.0 52.0 (-26.0)#94 53.0 (-27.0)#3,844
95. 30097 27.0 52.0 (-25.0)#95 53.0 (-26.0)#3,929
96. 30339 27.0 52.0 (-25.0)#96 53.0 (-26.0)#3,941
97. 31322 27.0 52.0 (-25.0)#97 53.0 (-26.0)#3,956
98. 30286 27.0 52.0 (-25.0)#98 53.0 (-26.0)#3,966
99. 30179 27.0 52.0 (-25.0)#99 53.0 (-26.0)#3,986
100. 31079 27.0 52.0 (-25.0)#100 53.0 (-26.0)#4,097

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level 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
4.0
#9
5.0
#10
5.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Georgia?
30182 has the Fewest Births per 1,000 Women Below Poverty Level in Georgia with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Georgia?
Number of Births per 1,000 Women Below Poverty Level in Georgia is 52.0.
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.