Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania
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Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania
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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania
| Zip Code | Births / 1,000 Women | vs State | vs National | |
| 1. | 15203 | 2.0 | 53.0(-51.0)#1 | 53.0(-51.0)#16 |
| 2. | 17365 | 2.0 | 53.0(-51.0)#2 | 53.0(-51.0)#35 |
| 3. | 19107 | 3.0 | 53.0(-50.0)#3 | 53.0(-50.0)#44 |
| 4. | 19012 | 3.0 | 53.0(-50.0)#4 | 53.0(-50.0)#51 |
| 5. | 18810 | 3.0 | 53.0(-50.0)#5 | 53.0(-50.0)#55 |
| 6. | 18224 | 5.0 | 53.0(-48.0)#6 | 53.0(-48.0)#153 |
| 7. | 17068 | 5.0 | 53.0(-48.0)#7 | 53.0(-48.0)#158 |
| 8. | 18938 | 6.0 | 53.0(-47.0)#8 | 53.0(-47.0)#211 |
| 9. | 19074 | 6.0 | 53.0(-47.0)#9 | 53.0(-47.0)#223 |
| 10. | 15417 | 7.0 | 53.0(-46.0)#10 | 53.0(-46.0)#289 |
| 11. | 18332 | 7.0 | 53.0(-46.0)#11 | 53.0(-46.0)#313 |
| 12. | 16360 | 7.0 | 53.0(-46.0)#12 | 53.0(-46.0)#334 |
| 13. | 18708 | 8.0 | 53.0(-45.0)#13 | 53.0(-45.0)#370 |
| 14. | 15145 | 8.0 | 53.0(-45.0)#14 | 53.0(-45.0)#377 |
| 15. | 16692 | 8.0 | 53.0(-45.0)#15 | 53.0(-45.0)#435 |
| 16. | 18519 | 9.0 | 53.0(-44.0)#16 | 53.0(-44.0)#490 |
| 17. | 16023 | 9.0 | 53.0(-44.0)#17 | 53.0(-44.0)#495 |
| 18. | 15026 | 9.0 | 53.0(-44.0)#18 | 53.0(-44.0)#497 |
| 19. | 15314 | 9.0 | 53.0(-44.0)#19 | 53.0(-44.0)#504 |
| 20. | 16917 | 9.0 | 53.0(-44.0)#20 | 53.0(-44.0)#541 |
| 21. | 18821 | 9.0 | 53.0(-44.0)#21 | 53.0(-44.0)#552 |
| 22. | 15411 | 9.0 | 53.0(-44.0)#22 | 53.0(-44.0)#569 |
| 23. | 16674 | 9.0 | 53.0(-44.0)#23 | 53.0(-44.0)#576 |
| 24. | 17361 | 10.0 | 53.0(-43.0)#24 | 53.0(-43.0)#609 |
| 25. | 16630 | 10.0 | 53.0(-43.0)#25 | 53.0(-43.0)#619 |
| 26. | 16157 | 10.0 | 53.0(-43.0)#26 | 53.0(-43.0)#633 |
| 27. | 18850 | 10.0 | 53.0(-43.0)#27 | 53.0(-43.0)#652 |
| 28. | 16613 | 10.0 | 53.0(-43.0)#28 | 53.0(-43.0)#662 |
| 29. | 16362 | 10.0 | 53.0(-43.0)#29 | 53.0(-43.0)#678 |
| 30. | 16859 | 10.0 | 53.0(-43.0)#30 | 53.0(-43.0)#693 |
| 31. | 19035 | 11.0 | 53.0(-42.0)#31 | 53.0(-42.0)#755 |
| 32. | 18038 | 11.0 | 53.0(-42.0)#32 | 53.0(-42.0)#762 |
| 33. | 15349 | 11.0 | 53.0(-42.0)#33 | 53.0(-42.0)#792 |
| 34. | 15060 | 11.0 | 53.0(-42.0)#34 | 53.0(-42.0)#813 |
| 35. | 16057 | 12.0 | 53.0(-41.0)#35 | 53.0(-41.0)#848 |
| 36. | 17857 | 12.0 | 53.0(-41.0)#36 | 53.0(-41.0)#869 |
| 37. | 18325 | 12.0 | 53.0(-41.0)#37 | 53.0(-41.0)#912 |
| 38. | 17098 | 12.0 | 53.0(-41.0)#38 | 53.0(-41.0)#917 |
| 39. | 18470 | 12.0 | 53.0(-41.0)#39 | 53.0(-41.0)#923 |
| 40. | 18812 | 12.0 | 53.0(-41.0)#40 | 53.0(-41.0)#937 |
| 41. | 16655 | 12.0 | 53.0(-41.0)#41 | 53.0(-41.0)#941 |
| 42. | 17827 | 12.0 | 53.0(-41.0)#42 | 53.0(-41.0)#956 |
| 43. | 15061 | 13.0 | 53.0(-40.0)#43 | 53.0(-40.0)#997 |
| 44. | 15211 | 13.0 | 53.0(-40.0)#44 | 53.0(-40.0)#1,003 |
| 45. | 15135 | 13.0 | 53.0(-40.0)#45 | 53.0(-40.0)#1,030 |
| 46. | 19126 | 14.0 | 53.0(-39.0)#46 | 53.0(-39.0)#1,140 |
| 47. | 15367 | 14.0 | 53.0(-39.0)#47 | 53.0(-39.0)#1,156 |
| 48. | 18069 | 14.0 | 53.0(-39.0)#48 | 53.0(-39.0)#1,158 |
| 49. | 16351 | 14.0 | 53.0(-39.0)#49 | 53.0(-39.0)#1,228 |
| 50. | 15322 | 14.0 | 53.0(-39.0)#50 | 53.0(-39.0)#1,232 |
| 51. | 15329 | 14.0 | 53.0(-39.0)#51 | 53.0(-39.0)#1,236 |
| 52. | 16683 | 14.0 | 53.0(-39.0)#52 | 53.0(-39.0)#1,276 |
| 53. | 19031 | 15.0 | 53.0(-38.0)#53 | 53.0(-38.0)#1,353 |
| 54. | 17728 | 15.0 | 53.0(-38.0)#54 | 53.0(-38.0)#1,359 |
| 55. | 17024 | 15.0 | 53.0(-38.0)#55 | 53.0(-38.0)#1,412 |
| 56. | 17836 | 15.0 | 53.0(-38.0)#56 | 53.0(-38.0)#1,474 |
| 57. | 19150 | 16.0 | 53.0(-37.0)#57 | 53.0(-37.0)#1,487 |
| 58. | 15201 | 16.0 | 53.0(-37.0)#58 | 53.0(-37.0)#1,499 |
| 59. | 15033 | 16.0 | 53.0(-37.0)#59 | 53.0(-37.0)#1,544 |
| 60. | 17824 | 16.0 | 53.0(-37.0)#60 | 53.0(-37.0)#1,558 |
| 61. | 15534 | 16.0 | 53.0(-37.0)#61 | 53.0(-37.0)#1,621 |
| 62. | 17888 | 16.0 | 53.0(-37.0)#62 | 53.0(-37.0)#1,636 |
| 63. | 18252 | 17.0 | 53.0(-36.0)#63 | 53.0(-36.0)#1,688 |
| 64. | 16116 | 17.0 | 53.0(-36.0)#64 | 53.0(-36.0)#1,749 |
| 65. | 16154 | 17.0 | 53.0(-36.0)#65 | 53.0(-36.0)#1,765 |
| 66. | 15223 | 18.0 | 53.0(-35.0)#66 | 53.0(-35.0)#1,879 |
| 67. | 15133 | 18.0 | 53.0(-35.0)#67 | 53.0(-35.0)#1,884 |
| 68. | 15636 | 18.0 | 53.0(-35.0)#68 | 53.0(-35.0)#1,905 |
| 69. | 15148 | 18.0 | 53.0(-35.0)#69 | 53.0(-35.0)#1,933 |
| 70. | 15954 | 18.0 | 53.0(-35.0)#70 | 53.0(-35.0)#1,934 |
| 71. | 17302 | 18.0 | 53.0(-35.0)#71 | 53.0(-35.0)#1,935 |
| 72. | 16041 | 18.0 | 53.0(-35.0)#72 | 53.0(-35.0)#1,941 |
| 73. | 18062 | 19.0 | 53.0(-34.0)#73 | 53.0(-34.0)#2,013 |
| 74. | 19522 | 19.0 | 53.0(-34.0)#74 | 53.0(-34.0)#2,042 |
| 75. | 15071 | 19.0 | 53.0(-34.0)#75 | 53.0(-34.0)#2,047 |
| 76. | 15129 | 19.0 | 53.0(-34.0)#76 | 53.0(-34.0)#2,057 |
| 77. | 16417 | 19.0 | 53.0(-34.0)#77 | 53.0(-34.0)#2,065 |
| 78. | 18088 | 19.0 | 53.0(-34.0)#78 | 53.0(-34.0)#2,066 |
| 79. | 17520 | 19.0 | 53.0(-34.0)#79 | 53.0(-34.0)#2,090 |
| 80. | 15626 | 19.0 | 53.0(-34.0)#80 | 53.0(-34.0)#2,091 |
| 81. | 15618 | 19.0 | 53.0(-34.0)#81 | 53.0(-34.0)#2,126 |
| 82. | 15942 | 19.0 | 53.0(-34.0)#82 | 53.0(-34.0)#2,133 |
| 83. | 16143 | 19.0 | 53.0(-34.0)#83 | 53.0(-34.0)#2,134 |
| 84. | 15357 | 19.0 | 53.0(-34.0)#84 | 53.0(-34.0)#2,149 |
| 85. | 19503 | 19.0 | 53.0(-34.0)#85 | 53.0(-34.0)#2,164 |
| 86. | 18473 | 19.0 | 53.0(-34.0)#86 | 53.0(-34.0)#2,188 |
| 87. | 15736 | 19.0 | 53.0(-34.0)#87 | 53.0(-34.0)#2,189 |
| 88. | 19151 | 20.0 | 53.0(-33.0)#88 | 53.0(-33.0)#2,203 |
| 89. | 19133 | 20.0 | 53.0(-33.0)#89 | 53.0(-33.0)#2,212 |
| 90. | 16508 | 20.0 | 53.0(-33.0)#90 | 53.0(-33.0)#2,233 |
| 91. | 17963 | 20.0 | 53.0(-33.0)#91 | 53.0(-33.0)#2,255 |
| 92. | 17363 | 20.0 | 53.0(-33.0)#92 | 53.0(-33.0)#2,256 |
| 93. | 15478 | 20.0 | 53.0(-33.0)#93 | 53.0(-33.0)#2,274 |
| 94. | 15901 | 20.0 | 53.0(-33.0)#94 | 53.0(-33.0)#2,309 |
| 95. | 17026 | 20.0 | 53.0(-33.0)#95 | 53.0(-33.0)#2,310 |
| 96. | 17967 | 20.0 | 53.0(-33.0)#96 | 53.0(-33.0)#2,333 |
| 97. | 16627 | 20.0 | 53.0(-33.0)#97 | 53.0(-33.0)#2,342 |
| 98. | 15344 | 20.0 | 53.0(-33.0)#98 | 53.0(-33.0)#2,357 |
| 99. | 17959 | 20.0 | 53.0(-33.0)#99 | 53.0(-33.0)#2,368 |
| 100. | 16634 | 20.0 | 53.0(-33.0)#100 | 53.0(-33.0)#2,420 |
Common Questions
What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania are:
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania?
15203 has the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Pennsylvania?
Number of Births per 1,000 Women Below Poverty Level in Pennsylvania is 53.0.
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.