Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland
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Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland
0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland
Zip Code | Births / 1,000 Women | vs State | vs National | |
1. | 20667 | 1,000.0 | 52.0(+948)#1 | 53.0(+947)#28 |
2. | 21634 | 630.0 | 52.0(+578)#2 | 53.0(+577)#117 |
3. | 20758 | 414.0 | 52.0(+362)#3 | 53.0(+361)#244 |
4. | 20687 | 413.0 | 52.0(+361)#4 | 53.0(+360)#246 |
5. | 20608 | 405.0 | 52.0(+353)#5 | 53.0(+352)#257 |
6. | 21524 | 351.0 | 52.0(+299)#6 | 53.0(+298)#340 |
7. | 21156 | 333.0 | 52.0(+281)#7 | 53.0(+280)#368 |
8. | 21714 | 255.0 | 52.0(+203)#8 | 53.0(+202)#636 |
9. | 21733 | 234.0 | 52.0(+182)#9 | 53.0(+181)#747 |
10. | 20611 | 219.0 | 52.0(+167)#10 | 53.0(+166)#843 |
11. | 20670 | 214.0 | 52.0(+162)#11 | 53.0(+161)#864 |
12. | 20674 | 204.0 | 52.0(+152)#12 | 53.0(+151)#935 |
13. | 21071 | 197.0 | 52.0(+145)#13 | 53.0(+144)#1,021 |
14. | 21869 | 190.0 | 52.0(+138)#14 | 53.0(+137)#1,096 |
15. | 20711 | 186.0 | 52.0(+134)#15 | 53.0(+133)#1,142 |
16. | 20645 | 183.0 | 52.0(+131)#16 | 53.0(+130)#1,185 |
17. | 21622 | 176.0 | 52.0(+124)#17 | 53.0(+123)#1,272 |
18. | 20762 | 171.0 | 52.0(+119)#18 | 53.0(+118)#1,347 |
19. | 21542 | 170.0 | 52.0(+118)#19 | 53.0(+117)#1,376 |
20. | 21798 | 141.0 | 52.0(+89.0)#20 | 53.0(+88.0)#1,968 |
21. | 20650 | 140.0 | 52.0(+88.0)#21 | 53.0(+87.0)#1,982 |
22. | 21636 | 140.0 | 52.0(+88.0)#22 | 53.0(+87.0)#1,998 |
23. | 21155 | 134.0 | 52.0(+82.0)#23 | 53.0(+81.0)#2,196 |
24. | 21851 | 132.0 | 52.0(+80.0)#24 | 53.0(+79.0)#2,253 |
25. | 20860 | 132.0 | 52.0(+80.0)#25 | 53.0(+79.0)#2,262 |
26. | 21647 | 132.0 | 52.0(+80.0)#26 | 53.0(+79.0)#2,276 |
27. | 20781 | 130.0 | 52.0(+78.0)#27 | 53.0(+77.0)#2,305 |
28. | 20710 | 128.0 | 52.0(+76.0)#28 | 53.0(+75.0)#2,391 |
29. | 21034 | 127.0 | 52.0(+75.0)#29 | 53.0(+74.0)#2,440 |
30. | 21082 | 127.0 | 52.0(+75.0)#30 | 53.0(+74.0)#2,460 |
31. | 20637 | 123.0 | 52.0(+71.0)#31 | 53.0(+70.0)#2,606 |
32. | 20602 | 118.0 | 52.0(+66.0)#32 | 53.0(+65.0)#2,803 |
33. | 20779 | 117.0 | 52.0(+65.0)#33 | 53.0(+64.0)#2,900 |
34. | 20896 | 116.0 | 52.0(+64.0)#34 | 53.0(+63.0)#2,944 |
35. | 20759 | 115.0 | 52.0(+63.0)#35 | 53.0(+62.0)#2,972 |
36. | 20751 | 115.0 | 52.0(+63.0)#36 | 53.0(+62.0)#2,988 |
37. | 21853 | 113.0 | 52.0(+61.0)#37 | 53.0(+60.0)#3,076 |
38. | 21402 | 110.0 | 52.0(+58.0)#38 | 53.0(+57.0)#3,280 |
39. | 20754 | 107.0 | 52.0(+55.0)#39 | 53.0(+54.0)#3,437 |
40. | 21227 | 106.0 | 52.0(+54.0)#40 | 53.0(+53.0)#3,504 |
41. | 21520 | 106.0 | 52.0(+54.0)#41 | 53.0(+53.0)#3,540 |
42. | 21601 | 105.0 | 52.0(+53.0)#42 | 53.0(+52.0)#3,568 |
43. | 21850 | 104.0 | 52.0(+52.0)#43 | 53.0(+51.0)#3,665 |
44. | 21650 | 103.0 | 52.0(+51.0)#44 | 53.0(+50.0)#3,784 |
45. | 21562 | 100.0 | 52.0(+48.0)#45 | 53.0(+47.0)#3,956 |
46. | 21837 | 99.0 | 52.0(+47.0)#46 | 53.0(+46.0)#4,056 |
47. | 20664 | 98.0 | 52.0(+46.0)#47 | 53.0(+45.0)#4,139 |
48. | 21561 | 97.0 | 52.0(+45.0)#48 | 53.0(+44.0)#4,239 |
49. | 21713 | 95.0 | 52.0(+43.0)#49 | 53.0(+42.0)#4,394 |
50. | 21084 | 95.0 | 52.0(+43.0)#50 | 53.0(+42.0)#4,404 |
51. | 21162 | 95.0 | 52.0(+43.0)#51 | 53.0(+42.0)#4,416 |
52. | 20877 | 93.0 | 52.0(+41.0)#52 | 53.0(+40.0)#4,565 |
53. | 21009 | 92.0 | 52.0(+40.0)#53 | 53.0(+39.0)#4,654 |
54. | 21758 | 92.0 | 52.0(+40.0)#54 | 53.0(+39.0)#4,689 |
55. | 21625 | 92.0 | 52.0(+40.0)#55 | 53.0(+39.0)#4,707 |
56. | 20706 | 90.0 | 52.0(+38.0)#56 | 53.0(+37.0)#4,853 |
57. | 20912 | 90.0 | 52.0(+38.0)#57 | 53.0(+37.0)#4,864 |
58. | 20755 | 90.0 | 52.0(+38.0)#58 | 53.0(+37.0)#4,891 |
59. | 20623 | 90.0 | 52.0(+38.0)#59 | 53.0(+37.0)#4,924 |
60. | 20880 | 90.0 | 52.0(+38.0)#60 | 53.0(+37.0)#4,948 |
61. | 20636 | 89.0 | 52.0(+37.0)#61 | 53.0(+36.0)#4,978 |
62. | 20677 | 87.0 | 52.0(+35.0)#62 | 53.0(+34.0)#5,267 |
63. | 21639 | 85.0 | 52.0(+33.0)#63 | 53.0(+32.0)#5,487 |
64. | 21530 | 83.0 | 52.0(+31.0)#64 | 53.0(+30.0)#5,779 |
65. | 21074 | 82.0 | 52.0(+30.0)#65 | 53.0(+29.0)#5,861 |
66. | 20695 | 82.0 | 52.0(+30.0)#66 | 53.0(+29.0)#5,873 |
67. | 21220 | 80.0 | 52.0(+28.0)#67 | 53.0(+27.0)#6,144 |
68. | 20785 | 80.0 | 52.0(+28.0)#68 | 53.0(+27.0)#6,146 |
69. | 21032 | 80.0 | 52.0(+28.0)#69 | 53.0(+27.0)#6,194 |
70. | 21144 | 79.0 | 52.0(+27.0)#70 | 53.0(+26.0)#6,295 |
71. | 20871 | 79.0 | 52.0(+27.0)#71 | 53.0(+26.0)#6,308 |
72. | 21001 | 79.0 | 52.0(+27.0)#72 | 53.0(+26.0)#6,311 |
73. | 20794 | 79.0 | 52.0(+27.0)#73 | 53.0(+26.0)#6,341 |
74. | 21750 | 79.0 | 52.0(+27.0)#74 | 53.0(+26.0)#6,392 |
75. | 21742 | 78.0 | 52.0(+26.0)#75 | 53.0(+25.0)#6,462 |
76. | 20879 | 78.0 | 52.0(+26.0)#76 | 53.0(+25.0)#6,473 |
77. | 21826 | 78.0 | 52.0(+26.0)#77 | 53.0(+25.0)#6,528 |
78. | 21874 | 77.0 | 52.0(+25.0)#78 | 53.0(+24.0)#6,721 |
79. | 21754 | 76.0 | 52.0(+24.0)#79 | 53.0(+23.0)#6,871 |
80. | 21757 | 76.0 | 52.0(+24.0)#80 | 53.0(+23.0)#6,906 |
81. | 21774 | 75.0 | 52.0(+23.0)#81 | 53.0(+22.0)#7,005 |
82. | 21849 | 75.0 | 52.0(+23.0)#82 | 53.0(+22.0)#7,066 |
83. | 21631 | 75.0 | 52.0(+23.0)#83 | 53.0(+22.0)#7,075 |
84. | 20904 | 74.0 | 52.0(+22.0)#84 | 53.0(+21.0)#7,135 |
85. | 21842 | 74.0 | 52.0(+22.0)#85 | 53.0(+21.0)#7,212 |
86. | 21610 | 74.0 | 52.0(+22.0)#86 | 53.0(+21.0)#7,320 |
87. | 20707 | 73.0 | 52.0(+21.0)#87 | 53.0(+20.0)#7,351 |
88. | 20866 | 73.0 | 52.0(+21.0)#88 | 53.0(+20.0)#7,400 |
89. | 21237 | 72.0 | 52.0(+20.0)#89 | 53.0(+19.0)#7,589 |
90. | 20837 | 72.0 | 52.0(+20.0)#90 | 53.0(+19.0)#7,667 |
91. | 20722 | 72.0 | 52.0(+20.0)#91 | 53.0(+19.0)#7,672 |
92. | 21791 | 72.0 | 52.0(+20.0)#92 | 53.0(+19.0)#7,682 |
93. | 21205 | 71.0 | 52.0(+19.0)#93 | 53.0(+18.0)#7,843 |
94. | 20906 | 70.0 | 52.0(+18.0)#94 | 53.0(+17.0)#7,979 |
95. | 20886 | 70.0 | 52.0(+18.0)#95 | 53.0(+17.0)#7,999 |
96. | 21704 | 70.0 | 52.0(+18.0)#96 | 53.0(+17.0)#8,032 |
97. | 21054 | 70.0 | 52.0(+18.0)#97 | 53.0(+17.0)#8,041 |
98. | 21532 | 70.0 | 52.0(+18.0)#98 | 53.0(+17.0)#8,049 |
99. | 21632 | 70.0 | 52.0(+18.0)#99 | 53.0(+17.0)#8,072 |
100. | 21521 | 70.0 | 52.0(+18.0)#100 | 53.0(+17.0)#8,131 |
Common Questions
What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland are:
What zip code has the Most Births per 1,000 Women Below Poverty Level in Maryland?
20667 has the Most Births per 1,000 Women Below Poverty Level in Maryland with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Maryland?
Number of Births per 1,000 Women Below Poverty Level in Maryland is 52.0.
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.