Zip Codes with the Most Births per 1,000 Women in Maryland
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Map of Zip Codes with the Most Births per 1,000 Women in Maryland
0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Maryland
| Zip Code | Births / 1,000 Women | vs State | vs National | |
| 1. | 20667 | 1,000.0 | 51.0(+949)#1 | 52.0(+948)#27 |
| 2. | 21634 | 630.0 | 51.0(+579)#2 | 52.0(+578)#116 |
| 3. | 20758 | 414.0 | 51.0(+363)#3 | 52.0(+362)#241 |
| 4. | 20687 | 413.0 | 51.0(+362)#4 | 52.0(+361)#243 |
| 5. | 20608 | 405.0 | 51.0(+354)#5 | 52.0(+353)#253 |
| 6. | 21524 | 351.0 | 51.0(+300)#6 | 52.0(+299)#334 |
| 7. | 21156 | 333.0 | 51.0(+282)#7 | 52.0(+281)#363 |
| 8. | 21714 | 255.0 | 51.0(+204)#8 | 52.0(+203)#625 |
| 9. | 21733 | 234.0 | 51.0(+183)#9 | 52.0(+182)#731 |
| 10. | 20611 | 219.0 | 51.0(+168)#10 | 52.0(+167)#825 |
| 11. | 20674 | 204.0 | 51.0(+153)#11 | 52.0(+152)#918 |
| 12. | 20670 | 198.0 | 51.0(+147)#12 | 52.0(+146)#988 |
| 13. | 21071 | 197.0 | 51.0(+146)#13 | 52.0(+145)#1,004 |
| 14. | 21869 | 190.0 | 51.0(+139)#14 | 52.0(+138)#1,084 |
| 15. | 20711 | 186.0 | 51.0(+135)#15 | 52.0(+134)#1,128 |
| 16. | 20645 | 183.0 | 51.0(+132)#16 | 52.0(+131)#1,165 |
| 17. | 21622 | 176.0 | 51.0(+125)#17 | 52.0(+124)#1,253 |
| 18. | 21542 | 170.0 | 51.0(+119)#18 | 52.0(+118)#1,356 |
| 19. | 20762 | 156.0 | 51.0(+105)#19 | 52.0(+104)#1,605 |
| 20. | 21798 | 141.0 | 51.0(+90.0)#20 | 52.0(+89.0)#1,943 |
| 21. | 21636 | 140.0 | 51.0(+89.0)#21 | 52.0(+88.0)#1,974 |
| 22. | 20650 | 138.0 | 51.0(+87.0)#22 | 52.0(+86.0)#2,024 |
| 23. | 21155 | 134.0 | 51.0(+83.0)#23 | 52.0(+82.0)#2,170 |
| 24. | 21851 | 132.0 | 51.0(+81.0)#24 | 52.0(+80.0)#2,227 |
| 25. | 20860 | 132.0 | 51.0(+81.0)#25 | 52.0(+80.0)#2,234 |
| 26. | 21647 | 132.0 | 51.0(+81.0)#26 | 52.0(+80.0)#2,248 |
| 27. | 20781 | 130.0 | 51.0(+79.0)#27 | 52.0(+78.0)#2,274 |
| 28. | 20710 | 128.0 | 51.0(+77.0)#28 | 52.0(+76.0)#2,362 |
| 29. | 21034 | 127.0 | 51.0(+76.0)#29 | 52.0(+75.0)#2,409 |
| 30. | 21082 | 127.0 | 51.0(+76.0)#30 | 52.0(+75.0)#2,429 |
| 31. | 20637 | 123.0 | 51.0(+72.0)#31 | 52.0(+71.0)#2,577 |
| 32. | 20602 | 118.0 | 51.0(+67.0)#32 | 52.0(+66.0)#2,780 |
| 33. | 20779 | 117.0 | 51.0(+66.0)#33 | 52.0(+65.0)#2,877 |
| 34. | 20896 | 116.0 | 51.0(+65.0)#34 | 52.0(+64.0)#2,920 |
| 35. | 20759 | 115.0 | 51.0(+64.0)#35 | 52.0(+63.0)#2,945 |
| 36. | 20751 | 115.0 | 51.0(+64.0)#36 | 52.0(+63.0)#2,962 |
| 37. | 20754 | 107.0 | 51.0(+56.0)#37 | 52.0(+55.0)#3,407 |
| 38. | 21227 | 106.0 | 51.0(+55.0)#38 | 52.0(+54.0)#3,470 |
| 39. | 21520 | 106.0 | 51.0(+55.0)#39 | 52.0(+54.0)#3,505 |
| 40. | 21601 | 105.0 | 51.0(+54.0)#40 | 52.0(+53.0)#3,533 |
| 41. | 21850 | 104.0 | 51.0(+53.0)#41 | 52.0(+52.0)#3,624 |
| 42. | 21650 | 103.0 | 51.0(+52.0)#42 | 52.0(+51.0)#3,744 |
| 43. | 21562 | 100.0 | 51.0(+49.0)#43 | 52.0(+48.0)#3,916 |
| 44. | 21837 | 99.0 | 51.0(+48.0)#44 | 52.0(+47.0)#4,016 |
| 45. | 20664 | 98.0 | 51.0(+47.0)#45 | 52.0(+46.0)#4,093 |
| 46. | 21561 | 97.0 | 51.0(+46.0)#46 | 52.0(+45.0)#4,181 |
| 47. | 21084 | 95.0 | 51.0(+44.0)#47 | 52.0(+43.0)#4,341 |
| 48. | 21162 | 95.0 | 51.0(+44.0)#48 | 52.0(+43.0)#4,352 |
| 49. | 20877 | 93.0 | 51.0(+42.0)#49 | 52.0(+41.0)#4,506 |
| 50. | 21713 | 93.0 | 51.0(+42.0)#50 | 52.0(+41.0)#4,519 |
| 51. | 21009 | 92.0 | 51.0(+41.0)#51 | 52.0(+40.0)#4,590 |
| 52. | 21758 | 92.0 | 51.0(+41.0)#52 | 52.0(+40.0)#4,627 |
| 53. | 21625 | 92.0 | 51.0(+41.0)#53 | 52.0(+40.0)#4,645 |
| 54. | 20706 | 90.0 | 51.0(+39.0)#54 | 52.0(+38.0)#4,792 |
| 55. | 20623 | 90.0 | 51.0(+39.0)#55 | 52.0(+38.0)#4,856 |
| 56. | 20880 | 90.0 | 51.0(+39.0)#56 | 52.0(+38.0)#4,883 |
| 57. | 20912 | 89.0 | 51.0(+38.0)#57 | 52.0(+37.0)#4,902 |
| 58. | 20636 | 89.0 | 51.0(+38.0)#58 | 52.0(+37.0)#4,916 |
| 59. | 20755 | 87.0 | 51.0(+36.0)#59 | 52.0(+35.0)#5,148 |
| 60. | 20677 | 87.0 | 51.0(+36.0)#60 | 52.0(+35.0)#5,199 |
| 61. | 21639 | 85.0 | 51.0(+34.0)#61 | 52.0(+33.0)#5,411 |
| 62. | 21853 | 84.0 | 51.0(+33.0)#62 | 52.0(+32.0)#5,527 |
| 63. | 21530 | 83.0 | 51.0(+32.0)#63 | 52.0(+31.0)#5,696 |
| 64. | 21074 | 82.0 | 51.0(+31.0)#64 | 52.0(+30.0)#5,780 |
| 65. | 20695 | 82.0 | 51.0(+31.0)#65 | 52.0(+30.0)#5,790 |
| 66. | 21220 | 80.0 | 51.0(+29.0)#66 | 52.0(+28.0)#6,061 |
| 67. | 20785 | 80.0 | 51.0(+29.0)#67 | 52.0(+28.0)#6,064 |
| 68. | 21032 | 80.0 | 51.0(+29.0)#68 | 52.0(+28.0)#6,114 |
| 69. | 21144 | 79.0 | 51.0(+28.0)#69 | 52.0(+27.0)#6,218 |
| 70. | 20871 | 79.0 | 51.0(+28.0)#70 | 52.0(+27.0)#6,231 |
| 71. | 21001 | 79.0 | 51.0(+28.0)#71 | 52.0(+27.0)#6,235 |
| 72. | 21750 | 79.0 | 51.0(+28.0)#72 | 52.0(+27.0)#6,303 |
| 73. | 21742 | 78.0 | 51.0(+27.0)#73 | 52.0(+26.0)#6,377 |
| 74. | 21826 | 78.0 | 51.0(+27.0)#74 | 52.0(+26.0)#6,451 |
| 75. | 20879 | 77.0 | 51.0(+26.0)#75 | 52.0(+25.0)#6,545 |
| 76. | 21874 | 77.0 | 51.0(+26.0)#76 | 52.0(+25.0)#6,635 |
| 77. | 21754 | 76.0 | 51.0(+25.0)#77 | 52.0(+24.0)#6,786 |
| 78. | 21757 | 76.0 | 51.0(+25.0)#78 | 52.0(+24.0)#6,817 |
| 79. | 21774 | 75.0 | 51.0(+24.0)#79 | 52.0(+23.0)#6,909 |
| 80. | 21849 | 75.0 | 51.0(+24.0)#80 | 52.0(+23.0)#6,959 |
| 81. | 21631 | 75.0 | 51.0(+24.0)#81 | 52.0(+23.0)#6,968 |
| 82. | 20904 | 74.0 | 51.0(+23.0)#82 | 52.0(+22.0)#7,025 |
| 83. | 21610 | 74.0 | 51.0(+23.0)#83 | 52.0(+22.0)#7,196 |
| 84. | 20707 | 73.0 | 51.0(+22.0)#84 | 52.0(+21.0)#7,227 |
| 85. | 20866 | 73.0 | 51.0(+22.0)#85 | 52.0(+21.0)#7,276 |
| 86. | 21842 | 73.0 | 51.0(+22.0)#86 | 52.0(+21.0)#7,298 |
| 87. | 21237 | 72.0 | 51.0(+21.0)#87 | 52.0(+20.0)#7,461 |
| 88. | 20837 | 72.0 | 51.0(+21.0)#88 | 52.0(+20.0)#7,538 |
| 89. | 21791 | 72.0 | 51.0(+21.0)#89 | 52.0(+20.0)#7,555 |
| 90. | 20794 | 71.0 | 51.0(+20.0)#90 | 52.0(+19.0)#7,708 |
| 91. | 21205 | 71.0 | 51.0(+20.0)#91 | 52.0(+19.0)#7,713 |
| 92. | 20722 | 71.0 | 51.0(+20.0)#92 | 52.0(+19.0)#7,745 |
| 93. | 20906 | 70.0 | 51.0(+19.0)#93 | 52.0(+18.0)#7,848 |
| 94. | 20886 | 70.0 | 51.0(+19.0)#94 | 52.0(+18.0)#7,872 |
| 95. | 21054 | 70.0 | 51.0(+19.0)#95 | 52.0(+18.0)#7,921 |
| 96. | 21632 | 70.0 | 51.0(+19.0)#96 | 52.0(+18.0)#7,954 |
| 97. | 21521 | 70.0 | 51.0(+19.0)#97 | 52.0(+18.0)#8,014 |
| 98. | 21659 | 70.0 | 51.0(+19.0)#98 | 52.0(+18.0)#8,022 |
| 99. | 20783 | 69.0 | 51.0(+18.0)#99 | 52.0(+17.0)#8,061 |
| 100. | 20737 | 69.0 | 51.0(+18.0)#100 | 52.0(+17.0)#8,116 |
Common Questions
What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Maryland?
Top 10 Zip Codes with the Most Births per 1,000 Women in Maryland are:
What zip code has the Most Births per 1,000 Women in Maryland?
20667 has the Most Births per 1,000 Women in Maryland with 1,000.0.
What is the Number of Births per 1,000 Women in the State of Maryland?
Number of Births per 1,000 Women in Maryland 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.