Zip Codes with the Most Births per 1,000 Women in Pennsylvania
RELATED REPORTS & OPTIONS
Highest Birth Rate | All Women
Pennsylvania
Compare Zip Codes
Map of Zip Codes with the Most Births per 1,000 Women in Pennsylvania
0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Pennsylvania
| Zip Code | Births / 1,000 Women | vs State | vs National | |
| 1. | 17016 | 1,000.0 | 51.0(+949)#1 | 52.0(+948)#2 |
| 2. | 18912 | 1,000.0 | 51.0(+949)#2 | 52.0(+948)#23 |
| 3. | 18460 | 1,000.0 | 51.0(+949)#3 | 52.0(+948)#24 |
| 4. | 17778 | 889.0 | 51.0(+838)#4 | 52.0(+837)#62 |
| 5. | 15662 | 773.0 | 51.0(+722)#5 | 52.0(+721)#70 |
| 6. | 19511 | 750.0 | 51.0(+699)#6 | 52.0(+698)#76 |
| 7. | 19435 | 708.0 | 51.0(+657)#7 | 52.0(+656)#85 |
| 8. | 18241 | 652.0 | 51.0(+601)#8 | 52.0(+600)#109 |
| 9. | 15490 | 647.0 | 51.0(+596)#9 | 52.0(+595)#111 |
| 10. | 15750 | 615.0 | 51.0(+564)#10 | 52.0(+563)#121 |
| 11. | 18817 | 533.0 | 51.0(+482)#11 | 52.0(+481)#151 |
| 12. | 16848 | 513.0 | 51.0(+462)#12 | 52.0(+461)#162 |
| 13. | 17010 | 510.0 | 51.0(+459)#13 | 52.0(+458)#163 |
| 14. | 15623 | 472.0 | 51.0(+421)#14 | 52.0(+420)#192 |
| 15. | 16211 | 462.0 | 51.0(+411)#15 | 52.0(+410)#204 |
| 16. | 17550 | 455.0 | 51.0(+404)#16 | 52.0(+403)#209 |
| 17. | 15007 | 447.0 | 51.0(+396)#17 | 52.0(+395)#213 |
| 18. | 17263 | 420.0 | 51.0(+369)#18 | 52.0(+368)#231 |
| 19. | 16937 | 417.0 | 51.0(+366)#19 | 52.0(+365)#239 |
| 20. | 17253 | 379.0 | 51.0(+328)#20 | 52.0(+327)#280 |
| 21. | 19456 | 368.0 | 51.0(+317)#21 | 52.0(+316)#302 |
| 22. | 15733 | 357.0 | 51.0(+306)#22 | 52.0(+305)#324 |
| 23. | 15347 | 353.0 | 51.0(+302)#23 | 52.0(+301)#332 |
| 24. | 18371 | 335.0 | 51.0(+284)#24 | 52.0(+283)#360 |
| 25. | 16036 | 333.0 | 51.0(+282)#25 | 52.0(+281)#365 |
| 26. | 16624 | 333.0 | 51.0(+282)#26 | 52.0(+281)#369 |
| 27. | 17748 | 333.0 | 51.0(+282)#27 | 52.0(+281)#370 |
| 28. | 15532 | 333.0 | 51.0(+282)#28 | 52.0(+281)#371 |
| 29. | 17729 | 333.0 | 51.0(+282)#29 | 52.0(+281)#372 |
| 30. | 17088 | 321.0 | 51.0(+270)#30 | 52.0(+269)#398 |
| 31. | 15018 | 315.0 | 51.0(+264)#31 | 52.0(+263)#407 |
| 32. | 18211 | 308.0 | 51.0(+257)#32 | 52.0(+256)#424 |
| 33. | 17037 | 305.0 | 51.0(+254)#33 | 52.0(+253)#435 |
| 34. | 18242 | 292.0 | 51.0(+241)#34 | 52.0(+240)#476 |
| 35. | 17064 | 291.0 | 51.0(+240)#35 | 52.0(+239)#478 |
| 36. | 18628 | 286.0 | 51.0(+235)#36 | 52.0(+234)#503 |
| 37. | 17266 | 281.0 | 51.0(+230)#37 | 52.0(+229)#515 |
| 38. | 16111 | 279.0 | 51.0(+228)#38 | 52.0(+227)#523 |
| 39. | 17235 | 269.0 | 51.0(+218)#39 | 52.0(+217)#558 |
| 40. | 16244 | 267.0 | 51.0(+216)#40 | 52.0(+215)#570 |
| 41. | 19405 | 249.0 | 51.0(+198)#41 | 52.0(+197)#659 |
| 42. | 16245 | 243.0 | 51.0(+192)#42 | 52.0(+191)#685 |
| 43. | 16665 | 239.0 | 51.0(+188)#43 | 52.0(+187)#706 |
| 44. | 17829 | 238.0 | 51.0(+187)#44 | 52.0(+186)#711 |
| 45. | 16263 | 235.0 | 51.0(+184)#45 | 52.0(+183)#726 |
| 46. | 16672 | 233.0 | 51.0(+182)#46 | 52.0(+181)#739 |
| 47. | 15364 | 231.0 | 51.0(+180)#47 | 52.0(+179)#749 |
| 48. | 16333 | 229.0 | 51.0(+178)#48 | 52.0(+177)#766 |
| 49. | 17731 | 227.0 | 51.0(+176)#49 | 52.0(+175)#778 |
| 50. | 15321 | 225.0 | 51.0(+174)#50 | 52.0(+173)#785 |
| 51. | 16133 | 224.0 | 51.0(+173)#51 | 52.0(+172)#793 |
| 52. | 15866 | 212.0 | 51.0(+161)#52 | 52.0(+160)#856 |
| 53. | 15051 | 211.0 | 51.0(+160)#53 | 52.0(+159)#861 |
| 54. | 17318 | 207.0 | 51.0(+156)#54 | 52.0(+155)#898 |
| 55. | 15340 | 203.0 | 51.0(+152)#55 | 52.0(+151)#928 |
| 56. | 18616 | 203.0 | 51.0(+152)#56 | 52.0(+151)#930 |
| 57. | 15928 | 201.0 | 51.0(+150)#57 | 52.0(+149)#950 |
| 58. | 16926 | 201.0 | 51.0(+150)#58 | 52.0(+149)#954 |
| 59. | 15744 | 200.0 | 51.0(+149)#59 | 52.0(+148)#973 |
| 60. | 17518 | 197.0 | 51.0(+146)#60 | 52.0(+145)#999 |
| 61. | 17810 | 194.0 | 51.0(+143)#61 | 52.0(+142)#1,034 |
| 62. | 19534 | 186.0 | 51.0(+135)#62 | 52.0(+134)#1,130 |
| 63. | 15921 | 184.0 | 51.0(+133)#63 | 52.0(+132)#1,157 |
| 64. | 15559 | 183.0 | 51.0(+132)#64 | 52.0(+131)#1,162 |
| 65. | 17035 | 180.0 | 51.0(+129)#65 | 52.0(+128)#1,193 |
| 66. | 17768 | 180.0 | 51.0(+129)#66 | 52.0(+128)#1,196 |
| 67. | 16943 | 180.0 | 51.0(+129)#67 | 52.0(+128)#1,198 |
| 68. | 15870 | 179.0 | 51.0(+128)#68 | 52.0(+127)#1,206 |
| 69. | 15935 | 177.0 | 51.0(+126)#69 | 52.0(+125)#1,231 |
| 70. | 15637 | 177.0 | 51.0(+126)#70 | 52.0(+125)#1,233 |
| 71. | 15665 | 177.0 | 51.0(+126)#71 | 52.0(+125)#1,237 |
| 72. | 16250 | 172.0 | 51.0(+121)#72 | 52.0(+120)#1,324 |
| 73. | 18434 | 171.0 | 51.0(+120)#73 | 52.0(+119)#1,328 |
| 74. | 17004 | 168.0 | 51.0(+117)#74 | 52.0(+116)#1,378 |
| 75. | 17563 | 168.0 | 51.0(+117)#75 | 52.0(+116)#1,379 |
| 76. | 19310 | 167.0 | 51.0(+116)#76 | 52.0(+115)#1,398 |
| 77. | 19550 | 167.0 | 51.0(+116)#77 | 52.0(+115)#1,408 |
| 78. | 16675 | 167.0 | 51.0(+116)#78 | 52.0(+115)#1,433 |
| 79. | 18832 | 166.0 | 51.0(+115)#79 | 52.0(+114)#1,441 |
| 80. | 18831 | 163.0 | 51.0(+112)#80 | 52.0(+111)#1,480 |
| 81. | 15112 | 162.0 | 51.0(+111)#81 | 52.0(+110)#1,495 |
| 82. | 16256 | 162.0 | 51.0(+111)#82 | 52.0(+110)#1,498 |
| 83. | 16691 | 162.0 | 51.0(+111)#83 | 52.0(+110)#1,507 |
| 84. | 17097 | 161.0 | 51.0(+110)#84 | 52.0(+109)#1,519 |
| 85. | 16347 | 160.0 | 51.0(+109)#85 | 52.0(+108)#1,528 |
| 86. | 17223 | 160.0 | 51.0(+109)#86 | 52.0(+108)#1,539 |
| 87. | 17572 | 159.0 | 51.0(+108)#87 | 52.0(+107)#1,543 |
| 88. | 18353 | 158.0 | 51.0(+107)#88 | 52.0(+106)#1,562 |
| 89. | 16636 | 155.0 | 51.0(+104)#89 | 52.0(+103)#1,629 |
| 90. | 16131 | 155.0 | 51.0(+104)#90 | 52.0(+103)#1,630 |
| 91. | 16935 | 152.0 | 51.0(+101)#91 | 52.0(+100.0)#1,688 |
| 92. | 15310 | 152.0 | 51.0(+101)#92 | 52.0(+100.0)#1,698 |
| 93. | 17560 | 151.0 | 51.0(+100.0)#93 | 52.0(+99.0)#1,700 |
| 94. | 16316 | 151.0 | 51.0(+100.0)#94 | 52.0(+99.0)#1,702 |
| 95. | 16677 | 150.0 | 51.0(+99.0)#95 | 52.0(+98.0)#1,737 |
| 96. | 16820 | 149.0 | 51.0(+98.0)#96 | 52.0(+97.0)#1,751 |
| 97. | 18814 | 147.0 | 51.0(+96.0)#97 | 52.0(+95.0)#1,802 |
| 98. | 15673 | 146.0 | 51.0(+95.0)#98 | 52.0(+94.0)#1,813 |
| 99. | 15315 | 146.0 | 51.0(+95.0)#99 | 52.0(+94.0)#1,820 |
| 100. | 16328 | 146.0 | 51.0(+95.0)#100 | 52.0(+94.0)#1,824 |
Common Questions
What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Pennsylvania?
Top 10 Zip Codes with the Most Births per 1,000 Women in Pennsylvania are:
What zip code has the Most Births per 1,000 Women in Pennsylvania?
17016 has the Most Births per 1,000 Women in Pennsylvania with 1,000.0.
What is the Number of Births per 1,000 Women in the State of Pennsylvania?
Number of Births per 1,000 Women in Pennsylvania 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.