Zip Codes with the Fewest Births per 1,000 Women in Georgia
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Map of Zip Codes with the Fewest Births per 1,000 Women in Georgia
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Zip Codes with the Fewest Births per 1,000 Women in Georgia
| Zip Code | Births / 1,000 Women | vs State | vs National | |
| 1. | 30182 | 2.0 | 51.0(-49.0)#1 | 52.0(-50.0)#39 |
| 2. | 31805 | 2.0 | 51.0(-49.0)#2 | 52.0(-50.0)#53 |
| 3. | 30013 | 3.0 | 51.0(-48.0)#3 | 52.0(-49.0)#56 |
| 4. | 30332 | 3.0 | 51.0(-48.0)#4 | 52.0(-49.0)#85 |
| 5. | 31778 | 3.0 | 51.0(-48.0)#5 | 52.0(-49.0)#87 |
| 6. | 31065 | 3.0 | 51.0(-48.0)#6 | 52.0(-49.0)#97 |
| 7. | 30313 | 4.0 | 51.0(-47.0)#7 | 52.0(-48.0)#103 |
| 8. | 31027 | 4.0 | 51.0(-47.0)#8 | 52.0(-48.0)#104 |
| 9. | 30669 | 4.0 | 51.0(-47.0)#9 | 52.0(-48.0)#136 |
| 10. | 30642 | 5.0 | 51.0(-46.0)#10 | 52.0(-47.0)#166 |
| 11. | 30567 | 5.0 | 51.0(-46.0)#11 | 52.0(-47.0)#182 |
| 12. | 31716 | 5.0 | 51.0(-46.0)#12 | 52.0(-47.0)#196 |
| 13. | 31560 | 5.0 | 51.0(-46.0)#13 | 52.0(-47.0)#199 |
| 14. | 31549 | 5.0 | 51.0(-46.0)#14 | 52.0(-47.0)#214 |
| 15. | 39840 | 6.0 | 51.0(-45.0)#15 | 52.0(-46.0)#260 |
| 16. | 31631 | 6.0 | 51.0(-45.0)#16 | 52.0(-46.0)#308 |
| 17. | 31044 | 7.0 | 51.0(-44.0)#17 | 52.0(-45.0)#356 |
| 18. | 30575 | 7.0 | 51.0(-44.0)#18 | 52.0(-45.0)#363 |
| 19. | 31097 | 7.0 | 51.0(-44.0)#19 | 52.0(-45.0)#374 |
| 20. | 31071 | 7.0 | 51.0(-44.0)#20 | 52.0(-45.0)#375 |
| 21. | 30738 | 8.0 | 51.0(-43.0)#21 | 52.0(-44.0)#438 |
| 22. | 30823 | 8.0 | 51.0(-43.0)#22 | 52.0(-44.0)#466 |
| 23. | 30055 | 9.0 | 51.0(-42.0)#23 | 52.0(-43.0)#549 |
| 24. | 30816 | 9.0 | 51.0(-42.0)#24 | 52.0(-43.0)#575 |
| 25. | 31060 | 9.0 | 51.0(-42.0)#25 | 52.0(-43.0)#582 |
| 26. | 31090 | 9.0 | 51.0(-42.0)#26 | 52.0(-43.0)#591 |
| 27. | 30308 | 10.0 | 51.0(-41.0)#27 | 52.0(-42.0)#639 |
| 28. | 30531 | 10.0 | 51.0(-41.0)#28 | 52.0(-42.0)#655 |
| 29. | 30326 | 10.0 | 51.0(-41.0)#29 | 52.0(-42.0)#658 |
| 30. | 30056 | 10.0 | 51.0(-41.0)#30 | 52.0(-42.0)#702 |
| 31. | 39813 | 10.0 | 51.0(-41.0)#31 | 52.0(-42.0)#710 |
| 32. | 31711 | 10.0 | 51.0(-41.0)#32 | 52.0(-42.0)#740 |
| 33. | 30303 | 11.0 | 51.0(-40.0)#33 | 52.0(-41.0)#815 |
| 34. | 30178 | 12.0 | 51.0(-39.0)#34 | 52.0(-40.0)#971 |
| 35. | 30730 | 12.0 | 51.0(-39.0)#35 | 52.0(-40.0)#1,004 |
| 36. | 31019 | 13.0 | 51.0(-38.0)#36 | 52.0(-39.0)#1,131 |
| 37. | 31018 | 13.0 | 51.0(-38.0)#37 | 52.0(-39.0)#1,136 |
| 38. | 30457 | 15.0 | 51.0(-36.0)#38 | 52.0(-37.0)#1,441 |
| 39. | 30106 | 16.0 | 51.0(-35.0)#39 | 52.0(-36.0)#1,580 |
| 40. | 30439 | 16.0 | 51.0(-35.0)#40 | 52.0(-36.0)#1,607 |
| 41. | 30802 | 16.0 | 51.0(-35.0)#41 | 52.0(-36.0)#1,624 |
| 42. | 31901 | 16.0 | 51.0(-35.0)#42 | 52.0(-36.0)#1,630 |
| 43. | 31738 | 16.0 | 51.0(-35.0)#43 | 52.0(-36.0)#1,670 |
| 44. | 31539 | 17.0 | 51.0(-34.0)#44 | 52.0(-35.0)#1,778 |
| 45. | 30563 | 17.0 | 51.0(-34.0)#45 | 52.0(-35.0)#1,806 |
| 46. | 31806 | 17.0 | 51.0(-34.0)#46 | 52.0(-35.0)#1,820 |
| 47. | 30808 | 17.0 | 51.0(-34.0)#47 | 52.0(-35.0)#1,821 |
| 48. | 30183 | 18.0 | 51.0(-33.0)#48 | 52.0(-34.0)#1,979 |
| 49. | 30421 | 18.0 | 51.0(-33.0)#49 | 52.0(-34.0)#2,021 |
| 50. | 30171 | 18.0 | 51.0(-33.0)#50 | 52.0(-34.0)#2,028 |
| 51. | 31546 | 19.0 | 51.0(-32.0)#51 | 52.0(-33.0)#2,162 |
| 52. | 31305 | 19.0 | 51.0(-32.0)#52 | 52.0(-33.0)#2,197 |
| 53. | 30725 | 19.0 | 51.0(-32.0)#53 | 52.0(-33.0)#2,199 |
| 54. | 31790 | 19.0 | 51.0(-32.0)#54 | 52.0(-33.0)#2,239 |
| 55. | 30736 | 20.0 | 51.0(-31.0)#55 | 52.0(-32.0)#2,315 |
| 56. | 30342 | 20.0 | 51.0(-31.0)#56 | 52.0(-32.0)#2,324 |
| 57. | 30309 | 20.0 | 51.0(-31.0)#57 | 52.0(-32.0)#2,328 |
| 58. | 30607 | 20.0 | 51.0(-31.0)#58 | 52.0(-32.0)#2,378 |
| 59. | 31308 | 20.0 | 51.0(-31.0)#59 | 52.0(-32.0)#2,387 |
| 60. | 30442 | 20.0 | 51.0(-31.0)#60 | 52.0(-32.0)#2,389 |
| 61. | 31078 | 20.0 | 51.0(-31.0)#61 | 52.0(-32.0)#2,449 |
| 62. | 30256 | 20.0 | 51.0(-31.0)#62 | 52.0(-32.0)#2,454 |
| 63. | 30810 | 20.0 | 51.0(-31.0)#63 | 52.0(-32.0)#2,468 |
| 64. | 30293 | 20.0 | 51.0(-31.0)#64 | 52.0(-32.0)#2,478 |
| 65. | 31783 | 20.0 | 51.0(-31.0)#65 | 52.0(-32.0)#2,492 |
| 66. | 30537 | 20.0 | 51.0(-31.0)#66 | 52.0(-32.0)#2,504 |
| 67. | 30582 | 21.0 | 51.0(-30.0)#67 | 52.0(-31.0)#2,664 |
| 68. | 31076 | 21.0 | 51.0(-30.0)#68 | 52.0(-31.0)#2,708 |
| 69. | 30427 | 22.0 | 51.0(-29.0)#69 | 52.0(-30.0)#2,856 |
| 70. | 31643 | 22.0 | 51.0(-29.0)#70 | 52.0(-30.0)#2,865 |
| 71. | 31301 | 22.0 | 51.0(-29.0)#71 | 52.0(-30.0)#2,910 |
| 72. | 30473 | 22.0 | 51.0(-29.0)#72 | 52.0(-30.0)#2,930 |
| 73. | 31070 | 22.0 | 51.0(-29.0)#73 | 52.0(-30.0)#2,998 |
| 74. | 30252 | 23.0 | 51.0(-28.0)#74 | 52.0(-29.0)#3,044 |
| 75. | 30312 | 23.0 | 51.0(-28.0)#75 | 52.0(-29.0)#3,078 |
| 76. | 31411 | 23.0 | 51.0(-28.0)#76 | 52.0(-29.0)#3,139 |
| 77. | 31635 | 23.0 | 51.0(-28.0)#77 | 52.0(-29.0)#3,160 |
| 78. | 30576 | 23.0 | 51.0(-28.0)#78 | 52.0(-29.0)#3,210 |
| 79. | 31793 | 24.0 | 51.0(-27.0)#79 | 52.0(-28.0)#3,389 |
| 80. | 30752 | 24.0 | 51.0(-27.0)#80 | 52.0(-28.0)#3,392 |
| 81. | 30558 | 24.0 | 51.0(-27.0)#81 | 52.0(-28.0)#3,425 |
| 82. | 30750 | 24.0 | 51.0(-27.0)#82 | 52.0(-28.0)#3,435 |
| 83. | 31606 | 24.0 | 51.0(-27.0)#83 | 52.0(-28.0)#3,440 |
| 84. | 30450 | 24.0 | 51.0(-27.0)#84 | 52.0(-28.0)#3,471 |
| 85. | 31780 | 24.0 | 51.0(-27.0)#85 | 52.0(-28.0)#3,487 |
| 86. | 31007 | 24.0 | 51.0(-27.0)#86 | 52.0(-28.0)#3,520 |
| 87. | 30265 | 25.0 | 51.0(-26.0)#87 | 52.0(-27.0)#3,561 |
| 88. | 30092 | 25.0 | 51.0(-26.0)#88 | 52.0(-27.0)#3,563 |
| 89. | 30324 | 25.0 | 51.0(-26.0)#89 | 52.0(-27.0)#3,573 |
| 90. | 30327 | 25.0 | 51.0(-26.0)#90 | 52.0(-27.0)#3,604 |
| 91. | 31401 | 25.0 | 51.0(-26.0)#91 | 52.0(-27.0)#3,618 |
| 92. | 31730 | 25.0 | 51.0(-26.0)#92 | 52.0(-27.0)#3,671 |
| 93. | 30530 | 25.0 | 51.0(-26.0)#93 | 52.0(-27.0)#3,680 |
| 94. | 39859 | 25.0 | 51.0(-26.0)#94 | 52.0(-27.0)#3,799 |
| 95. | 31522 | 26.0 | 51.0(-25.0)#95 | 52.0(-26.0)#3,894 |
| 96. | 30354 | 26.0 | 51.0(-25.0)#96 | 52.0(-26.0)#3,902 |
| 97. | 31082 | 26.0 | 51.0(-25.0)#97 | 52.0(-26.0)#3,924 |
| 98. | 30113 | 26.0 | 51.0(-25.0)#98 | 52.0(-26.0)#3,947 |
| 99. | 30258 | 26.0 | 51.0(-25.0)#99 | 52.0(-26.0)#3,994 |
| 100. | 39825 | 26.0 | 51.0(-25.0)#100 | 52.0(-26.0)#4,015 |
Common Questions
What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women in Georgia?
Top 10 Zip Codes with the Fewest Births per 1,000 Women in Georgia are:
What zip code has the Fewest Births per 1,000 Women in Georgia?
30182 has the Fewest Births per 1,000 Women in Georgia with 2.0.
What is the Number of Births per 1,000 Women in the State of Georgia?
Number of Births per 1,000 Women in Georgia is 51.0.
What is the Number of Births per 1,000 Women in the United States?
Number of Births per 1,000 Women in the United States is 52.0.