Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in South Dakota
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Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in South Dakota
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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in South Dakota
Zip Code | Births / 1,000 Women | vs State | vs National | |
1. | 57732 | 3.0 | 66.0(-63.0)#1 | 53.0(-50.0)#73 |
2. | 57260 | 5.0 | 66.0(-61.0)#2 | 53.0(-48.0)#197 |
3. | 57751 | 6.0 | 66.0(-60.0)#3 | 53.0(-47.0)#263 |
4. | 57714 | 8.0 | 66.0(-58.0)#4 | 53.0(-45.0)#426 |
5. | 57279 | 8.0 | 66.0(-58.0)#5 | 53.0(-45.0)#434 |
6. | 57370 | 8.0 | 66.0(-58.0)#6 | 53.0(-45.0)#444 |
7. | 57532 | 9.0 | 66.0(-57.0)#7 | 53.0(-44.0)#512 |
8. | 57031 | 9.0 | 66.0(-57.0)#8 | 53.0(-44.0)#566 |
9. | 57259 | 11.0 | 66.0(-55.0)#9 | 53.0(-42.0)#826 |
10. | 57552 | 11.0 | 66.0(-55.0)#10 | 53.0(-42.0)#827 |
11. | 57436 | 11.0 | 66.0(-55.0)#11 | 53.0(-42.0)#830 |
12. | 57658 | 11.0 | 66.0(-55.0)#12 | 53.0(-42.0)#834 |
13. | 57442 | 13.0 | 66.0(-53.0)#13 | 53.0(-40.0)#1,070 |
14. | 57014 | 14.0 | 66.0(-52.0)#14 | 53.0(-39.0)#1,227 |
15. | 57465 | 14.0 | 66.0(-52.0)#15 | 53.0(-39.0)#1,274 |
16. | 57638 | 15.0 | 66.0(-51.0)#16 | 53.0(-38.0)#1,411 |
17. | 57018 | 15.0 | 66.0(-51.0)#17 | 53.0(-38.0)#1,429 |
18. | 57479 | 15.0 | 66.0(-51.0)#18 | 53.0(-38.0)#1,460 |
19. | 57452 | 15.0 | 66.0(-51.0)#19 | 53.0(-38.0)#1,471 |
20. | 57631 | 16.0 | 66.0(-50.0)#20 | 53.0(-37.0)#1,643 |
21. | 57783 | 17.0 | 66.0(-49.0)#21 | 53.0(-36.0)#1,670 |
22. | 57241 | 17.0 | 66.0(-49.0)#22 | 53.0(-36.0)#1,789 |
23. | 57016 | 18.0 | 66.0(-48.0)#23 | 53.0(-35.0)#1,982 |
24. | 57063 | 19.0 | 66.0(-47.0)#24 | 53.0(-34.0)#2,171 |
25. | 57220 | 20.0 | 66.0(-46.0)#25 | 53.0(-33.0)#2,390 |
26. | 57375 | 20.0 | 66.0(-46.0)#26 | 53.0(-33.0)#2,405 |
27. | 57793 | 21.0 | 66.0(-45.0)#27 | 53.0(-32.0)#2,584 |
28. | 57533 | 21.0 | 66.0(-45.0)#28 | 53.0(-32.0)#2,594 |
29. | 57273 | 21.0 | 66.0(-45.0)#29 | 53.0(-32.0)#2,617 |
30. | 57762 | 21.0 | 66.0(-45.0)#30 | 53.0(-32.0)#2,647 |
31. | 57006 | 22.0 | 66.0(-44.0)#31 | 53.0(-31.0)#2,679 |
32. | 57368 | 22.0 | 66.0(-44.0)#32 | 53.0(-31.0)#2,854 |
33. | 57428 | 22.0 | 66.0(-44.0)#33 | 53.0(-31.0)#2,885 |
34. | 57434 | 22.0 | 66.0(-44.0)#34 | 53.0(-31.0)#2,886 |
35. | 57366 | 23.0 | 66.0(-43.0)#35 | 53.0(-30.0)#3,064 |
36. | 57268 | 23.0 | 66.0(-43.0)#36 | 53.0(-30.0)#3,129 |
37. | 57249 | 24.0 | 66.0(-42.0)#37 | 53.0(-29.0)#3,361 |
38. | 57383 | 24.0 | 66.0(-42.0)#38 | 53.0(-29.0)#3,368 |
39. | 57572 | 26.0 | 66.0(-40.0)#39 | 53.0(-27.0)#3,862 |
40. | 57717 | 27.0 | 66.0(-39.0)#40 | 53.0(-26.0)#4,024 |
41. | 57523 | 27.0 | 66.0(-39.0)#41 | 53.0(-26.0)#4,148 |
42. | 57035 | 28.0 | 66.0(-38.0)#42 | 53.0(-25.0)#4,397 |
43. | 57301 | 30.0 | 66.0(-36.0)#43 | 53.0(-23.0)#4,799 |
44. | 57013 | 30.0 | 66.0(-36.0)#44 | 53.0(-23.0)#4,887 |
45. | 57471 | 31.0 | 66.0(-35.0)#45 | 53.0(-22.0)#5,302 |
46. | 57039 | 32.0 | 66.0(-34.0)#46 | 53.0(-21.0)#5,500 |
47. | 57551 | 33.0 | 66.0(-33.0)#47 | 53.0(-20.0)#5,852 |
48. | 57735 | 34.0 | 66.0(-32.0)#48 | 53.0(-19.0)#6,184 |
49. | 57319 | 34.0 | 66.0(-32.0)#49 | 53.0(-19.0)#6,203 |
50. | 57005 | 36.0 | 66.0(-30.0)#50 | 53.0(-17.0)#6,703 |
51. | 57769 | 36.0 | 66.0(-30.0)#51 | 53.0(-17.0)#6,794 |
52. | 57311 | 36.0 | 66.0(-30.0)#52 | 53.0(-17.0)#6,849 |
53. | 57579 | 36.0 | 66.0(-30.0)#53 | 53.0(-17.0)#6,863 |
54. | 57315 | 36.0 | 66.0(-30.0)#54 | 53.0(-17.0)#6,873 |
55. | 57276 | 36.0 | 66.0(-30.0)#55 | 53.0(-17.0)#6,876 |
56. | 57720 | 36.0 | 66.0(-30.0)#56 | 53.0(-17.0)#6,884 |
57. | 57730 | 37.0 | 66.0(-29.0)#57 | 53.0(-16.0)#7,088 |
58. | 57570 | 38.0 | 66.0(-28.0)#58 | 53.0(-15.0)#7,463 |
59. | 57745 | 38.0 | 66.0(-28.0)#59 | 53.0(-15.0)#7,496 |
60. | 57716 | 38.0 | 66.0(-28.0)#60 | 53.0(-15.0)#7,569 |
61. | 57071 | 39.0 | 66.0(-27.0)#61 | 53.0(-14.0)#7,833 |
62. | 57045 | 40.0 | 66.0(-26.0)#62 | 53.0(-13.0)#8,231 |
63. | 57334 | 40.0 | 66.0(-26.0)#63 | 53.0(-13.0)#8,250 |
64. | 57648 | 40.0 | 66.0(-26.0)#64 | 53.0(-13.0)#8,263 |
65. | 57201 | 42.0 | 66.0(-24.0)#65 | 53.0(-11.0)#8,707 |
66. | 57642 | 42.0 | 66.0(-24.0)#66 | 53.0(-11.0)#8,907 |
67. | 57234 | 42.0 | 66.0(-24.0)#67 | 53.0(-11.0)#8,924 |
68. | 57703 | 43.0 | 66.0(-23.0)#68 | 53.0(-10.00)#9,108 |
69. | 57438 | 44.0 | 66.0(-22.0)#69 | 53.0(-9.00)#9,685 |
70. | 57069 | 45.0 | 66.0(-21.0)#70 | 53.0(-8.00)#9,880 |
71. | 57022 | 45.0 | 66.0(-21.0)#71 | 53.0(-8.00)#9,935 |
72. | 57580 | 45.0 | 66.0(-21.0)#72 | 53.0(-8.00)#9,954 |
73. | 57036 | 45.0 | 66.0(-21.0)#73 | 53.0(-8.00)#10,033 |
74. | 57110 | 46.0 | 66.0(-20.0)#74 | 53.0(-7.00)#10,213 |
75. | 57225 | 46.0 | 66.0(-20.0)#75 | 53.0(-7.00)#10,373 |
76. | 57355 | 46.0 | 66.0(-20.0)#76 | 53.0(-7.00)#10,387 |
77. | 57788 | 46.0 | 66.0(-20.0)#77 | 53.0(-7.00)#10,408 |
78. | 57219 | 46.0 | 66.0(-20.0)#78 | 53.0(-7.00)#10,412 |
79. | 57747 | 47.0 | 66.0(-19.0)#79 | 53.0(-6.00)#10,653 |
80. | 57325 | 47.0 | 66.0(-19.0)#80 | 53.0(-6.00)#10,688 |
81. | 57214 | 47.0 | 66.0(-19.0)#81 | 53.0(-6.00)#10,757 |
82. | 57049 | 48.0 | 66.0(-18.0)#82 | 53.0(-5.00)#10,978 |
83. | 57053 | 48.0 | 66.0(-18.0)#83 | 53.0(-5.00)#11,034 |
84. | 57348 | 48.0 | 66.0(-18.0)#84 | 53.0(-5.00)#11,076 |
85. | 57759 | 48.0 | 66.0(-18.0)#85 | 53.0(-5.00)#11,094 |
86. | 57265 | 48.0 | 66.0(-18.0)#86 | 53.0(-5.00)#11,099 |
87. | 57077 | 49.0 | 66.0(-17.0)#87 | 53.0(-4.00)#11,415 |
88. | 57235 | 49.0 | 66.0(-17.0)#88 | 53.0(-4.00)#11,436 |
89. | 57474 | 49.0 | 66.0(-17.0)#89 | 53.0(-4.00)#11,455 |
90. | 57770 | 50.0 | 66.0(-16.0)#90 | 53.0(-3.00)#11,691 |
91. | 57252 | 50.0 | 66.0(-16.0)#91 | 53.0(-3.00)#11,703 |
92. | 57362 | 50.0 | 66.0(-16.0)#92 | 53.0(-3.00)#11,749 |
93. | 57223 | 50.0 | 66.0(-16.0)#93 | 53.0(-3.00)#11,775 |
94. | 57432 | 50.0 | 66.0(-16.0)#94 | 53.0(-3.00)#11,803 |
95. | 57264 | 51.0 | 66.0(-15.0)#95 | 53.0(-2.00)#12,157 |
96. | 57706 | 52.0 | 66.0(-14.0)#96 | 53.0(-1.000)#12,415 |
97. | 57314 | 52.0 | 66.0(-14.0)#97 | 53.0(-1.000)#12,466 |
98. | 57072 | 52.0 | 66.0(-14.0)#98 | 53.0(-1.000)#12,469 |
99. | 57001 | 53.0 | 66.0(-13.0)#99 | 53.0(=0.000)#12,763 |
100. | 57052 | 53.0 | 66.0(-13.0)#100 | 53.0(=0.000)#12,801 |
Common Questions
What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in South Dakota?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in South Dakota are:
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in South Dakota?
57732 has the Fewest Births per 1,000 Women Below Poverty Level in South Dakota with 3.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of South Dakota?
Number of Births per 1,000 Women Below Poverty Level in South Dakota is 66.0.
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.