Zip Codes with the Fewest Births per 1,000 Women in Indiana
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Map of Zip Codes with the Fewest Births per 1,000 Women in Indiana
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Zip Codes with the Fewest Births per 1,000 Women in Indiana
| Zip Code | Births / 1,000 Women | vs State | vs National | |
| 1. | 46524 | 2.0 | 54.0(-52.0)#1 | 52.0(-50.0)#46 |
| 2. | 47598 | 3.0 | 54.0(-51.0)#2 | 52.0(-49.0)#84 |
| 3. | 46030 | 4.0 | 54.0(-50.0)#3 | 52.0(-48.0)#138 |
| 4. | 47232 | 4.0 | 54.0(-50.0)#4 | 52.0(-48.0)#145 |
| 5. | 47848 | 4.0 | 54.0(-50.0)#5 | 52.0(-48.0)#153 |
| 6. | 47036 | 5.0 | 54.0(-49.0)#6 | 52.0(-47.0)#220 |
| 7. | 46510 | 6.0 | 54.0(-48.0)#7 | 52.0(-46.0)#270 |
| 8. | 46933 | 7.0 | 54.0(-47.0)#8 | 52.0(-45.0)#328 |
| 9. | 47359 | 7.0 | 54.0(-47.0)#9 | 52.0(-45.0)#345 |
| 10. | 46941 | 7.0 | 54.0(-47.0)#10 | 52.0(-45.0)#384 |
| 11. | 47114 | 8.0 | 54.0(-46.0)#11 | 52.0(-44.0)#502 |
| 12. | 47523 | 9.0 | 54.0(-45.0)#12 | 52.0(-43.0)#554 |
| 13. | 47032 | 9.0 | 54.0(-45.0)#13 | 52.0(-43.0)#556 |
| 14. | 47529 | 9.0 | 54.0(-45.0)#14 | 52.0(-43.0)#593 |
| 15. | 47926 | 9.0 | 54.0(-45.0)#15 | 52.0(-43.0)#597 |
| 16. | 47111 | 10.0 | 54.0(-44.0)#16 | 52.0(-42.0)#645 |
| 17. | 46511 | 10.0 | 54.0(-44.0)#17 | 52.0(-42.0)#685 |
| 18. | 46371 | 10.0 | 54.0(-44.0)#18 | 52.0(-42.0)#688 |
| 19. | 46056 | 10.0 | 54.0(-44.0)#19 | 52.0(-42.0)#706 |
| 20. | 47974 | 10.0 | 54.0(-44.0)#20 | 52.0(-42.0)#728 |
| 21. | 47465 | 10.0 | 54.0(-44.0)#21 | 52.0(-42.0)#757 |
| 22. | 47355 | 11.0 | 54.0(-43.0)#22 | 52.0(-41.0)#831 |
| 23. | 47383 | 11.0 | 54.0(-43.0)#23 | 52.0(-41.0)#833 |
| 24. | 46044 | 11.0 | 54.0(-43.0)#24 | 52.0(-41.0)#838 |
| 25. | 46765 | 12.0 | 54.0(-42.0)#25 | 52.0(-40.0)#950 |
| 26. | 47520 | 12.0 | 54.0(-42.0)#26 | 52.0(-40.0)#981 |
| 27. | 47874 | 12.0 | 54.0(-42.0)#27 | 52.0(-40.0)#986 |
| 28. | 47464 | 12.0 | 54.0(-42.0)#28 | 52.0(-40.0)#1,045 |
| 29. | 46710 | 13.0 | 54.0(-41.0)#29 | 52.0(-39.0)#1,115 |
| 30. | 47971 | 13.0 | 54.0(-41.0)#30 | 52.0(-39.0)#1,147 |
| 31. | 47968 | 13.0 | 54.0(-41.0)#31 | 52.0(-39.0)#1,165 |
| 32. | 47408 | 14.0 | 54.0(-40.0)#32 | 52.0(-38.0)#1,212 |
| 33. | 47353 | 14.0 | 54.0(-40.0)#33 | 52.0(-38.0)#1,261 |
| 34. | 46974 | 14.0 | 54.0(-40.0)#34 | 52.0(-38.0)#1,308 |
| 35. | 46776 | 14.0 | 54.0(-40.0)#35 | 52.0(-38.0)#1,319 |
| 36. | 46180 | 14.0 | 54.0(-40.0)#36 | 52.0(-38.0)#1,346 |
| 37. | 47975 | 14.0 | 54.0(-40.0)#37 | 52.0(-38.0)#1,349 |
| 38. | 47172 | 15.0 | 54.0(-39.0)#38 | 52.0(-37.0)#1,386 |
| 39. | 46613 | 15.0 | 54.0(-39.0)#39 | 52.0(-37.0)#1,405 |
| 40. | 46120 | 15.0 | 54.0(-39.0)#40 | 52.0(-37.0)#1,434 |
| 41. | 46553 | 15.0 | 54.0(-39.0)#41 | 52.0(-37.0)#1,456 |
| 42. | 47345 | 15.0 | 54.0(-39.0)#42 | 52.0(-37.0)#1,521 |
| 43. | 46278 | 16.0 | 54.0(-38.0)#43 | 52.0(-36.0)#1,616 |
| 44. | 47283 | 16.0 | 54.0(-38.0)#44 | 52.0(-36.0)#1,654 |
| 45. | 47634 | 16.0 | 54.0(-38.0)#45 | 52.0(-36.0)#1,681 |
| 46. | 46978 | 16.0 | 54.0(-38.0)#46 | 52.0(-36.0)#1,682 |
| 47. | 46250 | 17.0 | 54.0(-37.0)#47 | 52.0(-35.0)#1,766 |
| 48. | 47601 | 17.0 | 54.0(-37.0)#48 | 52.0(-35.0)#1,779 |
| 49. | 47001 | 17.0 | 54.0(-37.0)#49 | 52.0(-35.0)#1,789 |
| 50. | 47165 | 17.0 | 54.0(-37.0)#50 | 52.0(-35.0)#1,802 |
| 51. | 47868 | 17.0 | 54.0(-37.0)#51 | 52.0(-35.0)#1,846 |
| 52. | 46216 | 17.0 | 54.0(-37.0)#52 | 52.0(-35.0)#1,856 |
| 53. | 47967 | 17.0 | 54.0(-37.0)#53 | 52.0(-35.0)#1,890 |
| 54. | 46321 | 18.0 | 54.0(-36.0)#54 | 52.0(-34.0)#1,919 |
| 55. | 46040 | 18.0 | 54.0(-36.0)#55 | 52.0(-34.0)#1,940 |
| 56. | 46777 | 18.0 | 54.0(-36.0)#56 | 52.0(-34.0)#1,982 |
| 57. | 47031 | 18.0 | 54.0(-36.0)#57 | 52.0(-34.0)#1,987 |
| 58. | 46115 | 18.0 | 54.0(-36.0)#58 | 52.0(-34.0)#2,053 |
| 59. | 47712 | 19.0 | 54.0(-35.0)#59 | 52.0(-33.0)#2,108 |
| 60. | 46167 | 19.0 | 54.0(-35.0)#60 | 52.0(-33.0)#2,174 |
| 61. | 46071 | 19.0 | 54.0(-35.0)#61 | 52.0(-33.0)#2,227 |
| 62. | 46951 | 19.0 | 54.0(-35.0)#62 | 52.0(-33.0)#2,240 |
| 63. | 47940 | 19.0 | 54.0(-35.0)#63 | 52.0(-33.0)#2,261 |
| 64. | 47862 | 19.0 | 54.0(-35.0)#64 | 52.0(-33.0)#2,264 |
| 65. | 47906 | 20.0 | 54.0(-34.0)#65 | 52.0(-32.0)#2,308 |
| 66. | 46058 | 20.0 | 54.0(-34.0)#66 | 52.0(-32.0)#2,463 |
| 67. | 46048 | 20.0 | 54.0(-34.0)#67 | 52.0(-32.0)#2,465 |
| 68. | 47351 | 20.0 | 54.0(-34.0)#68 | 52.0(-32.0)#2,539 |
| 69. | 46202 | 21.0 | 54.0(-33.0)#69 | 52.0(-31.0)#2,591 |
| 70. | 46064 | 21.0 | 54.0(-33.0)#70 | 52.0(-31.0)#2,599 |
| 71. | 47102 | 21.0 | 54.0(-33.0)#71 | 52.0(-31.0)#2,647 |
| 72. | 47588 | 21.0 | 54.0(-33.0)#72 | 52.0(-31.0)#2,763 |
| 73. | 46259 | 22.0 | 54.0(-32.0)#73 | 52.0(-30.0)#2,843 |
| 74. | 47119 | 22.0 | 54.0(-32.0)#74 | 52.0(-30.0)#2,853 |
| 75. | 46552 | 22.0 | 54.0(-32.0)#75 | 52.0(-30.0)#2,884 |
| 76. | 47136 | 22.0 | 54.0(-32.0)#76 | 52.0(-30.0)#2,905 |
| 77. | 46702 | 22.0 | 54.0(-32.0)#77 | 52.0(-30.0)#2,943 |
| 78. | 47615 | 22.0 | 54.0(-32.0)#78 | 52.0(-30.0)#2,959 |
| 79. | 47382 | 22.0 | 54.0(-32.0)#79 | 52.0(-30.0)#3,037 |
| 80. | 46516 | 23.0 | 54.0(-31.0)#80 | 52.0(-29.0)#3,064 |
| 81. | 47834 | 23.0 | 54.0(-31.0)#81 | 52.0(-29.0)#3,094 |
| 82. | 46204 | 23.0 | 54.0(-31.0)#82 | 52.0(-29.0)#3,129 |
| 83. | 46962 | 23.0 | 54.0(-31.0)#83 | 52.0(-29.0)#3,145 |
| 84. | 47124 | 23.0 | 54.0(-31.0)#84 | 52.0(-29.0)#3,175 |
| 85. | 46347 | 23.0 | 54.0(-31.0)#85 | 52.0(-29.0)#3,181 |
| 86. | 46573 | 23.0 | 54.0(-31.0)#86 | 52.0(-29.0)#3,198 |
| 87. | 47527 | 23.0 | 54.0(-31.0)#87 | 52.0(-29.0)#3,227 |
| 88. | 47386 | 23.0 | 54.0(-31.0)#88 | 52.0(-29.0)#3,257 |
| 89. | 47941 | 23.0 | 54.0(-31.0)#89 | 52.0(-29.0)#3,262 |
| 90. | 46234 | 24.0 | 54.0(-30.0)#90 | 52.0(-28.0)#3,327 |
| 91. | 46989 | 24.0 | 54.0(-30.0)#91 | 52.0(-28.0)#3,420 |
| 92. | 47638 | 24.0 | 54.0(-30.0)#92 | 52.0(-28.0)#3,442 |
| 93. | 47161 | 24.0 | 54.0(-30.0)#93 | 52.0(-28.0)#3,446 |
| 94. | 47342 | 24.0 | 54.0(-30.0)#94 | 52.0(-28.0)#3,469 |
| 95. | 47957 | 24.0 | 54.0(-30.0)#95 | 52.0(-28.0)#3,477 |
| 96. | 47584 | 24.0 | 54.0(-30.0)#96 | 52.0(-28.0)#3,547 |
| 97. | 46970 | 25.0 | 54.0(-29.0)#97 | 52.0(-27.0)#3,602 |
| 98. | 46975 | 25.0 | 54.0(-29.0)#98 | 52.0(-27.0)#3,644 |
| 99. | 46938 | 25.0 | 54.0(-29.0)#99 | 52.0(-27.0)#3,752 |
| 100. | 46926 | 25.0 | 54.0(-29.0)#100 | 52.0(-27.0)#3,779 |
Common Questions
What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women in Indiana?
Top 10 Zip Codes with the Fewest Births per 1,000 Women in Indiana are:
What zip code has the Fewest Births per 1,000 Women in Indiana?
46524 has the Fewest Births per 1,000 Women in Indiana with 2.0.
What is the Number of Births per 1,000 Women in the State of Indiana?
Number of Births per 1,000 Women in Indiana is 54.0.
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.