Cities with the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota
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Lowest Birth Rate | Women 35+
South Dakota
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Map of Cities with the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota
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Cities with the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota
City | Births / 1,000 Women | vs State | vs National | |
1. | Rapid Valley | 6.0 | 35.0(-29.0)#1 | 32.0(-26.0)#228 |
2. | Brandon | 7.0 | 35.0(-28.0)#2 | 32.0(-25.0)#288 |
3. | Summerset | 9.0 | 35.0(-26.0)#3 | 32.0(-23.0)#508 |
4. | Box Elder | 10.0 | 35.0(-25.0)#4 | 32.0(-22.0)#577 |
5. | Platte | 10.0 | 35.0(-25.0)#5 | 32.0(-22.0)#647 |
6. | Lake Andes | 11.0 | 35.0(-24.0)#6 | 32.0(-21.0)#782 |
7. | Eagle Butte | 13.0 | 35.0(-22.0)#7 | 32.0(-19.0)#1,033 |
8. | Worthing | 14.0 | 35.0(-21.0)#8 | 32.0(-18.0)#1,173 |
9. | Dell Rapids | 15.0 | 35.0(-20.0)#9 | 32.0(-17.0)#1,274 |
10. | Lennox | 16.0 | 35.0(-19.0)#10 | 32.0(-16.0)#1,423 |
11. | Flandreau | 17.0 | 35.0(-18.0)#11 | 32.0(-15.0)#1,587 |
12. | Watertown | 22.0 | 35.0(-13.0)#12 | 32.0(-10.00)#2,351 |
13. | Ipswich | 22.0 | 35.0(-13.0)#13 | 32.0(-10.00)#2,460 |
14. | Centerville | 23.0 | 35.0(-12.0)#14 | 32.0(-9.00)#2,656 |
15. | Hayti | 23.0 | 35.0(-12.0)#15 | 32.0(-9.00)#2,668 |
16. | Mitchell | 26.0 | 35.0(-9.00)#16 | 32.0(-6.00)#3,082 |
17. | Wolsey | 26.0 | 35.0(-9.00)#17 | 32.0(-6.00)#3,190 |
18. | Belle Fourche | 27.0 | 35.0(-8.00)#18 | 32.0(-5.00)#3,310 |
19. | Chamberlain | 27.0 | 35.0(-8.00)#19 | 32.0(-5.00)#3,327 |
20. | Valley Springs | 27.0 | 35.0(-8.00)#20 | 32.0(-5.00)#3,363 |
21. | Castlewood | 28.0 | 35.0(-7.00)#21 | 32.0(-4.00)#3,545 |
22. | Humboldt | 28.0 | 35.0(-7.00)#22 | 32.0(-4.00)#3,546 |
23. | Chancellor | 28.0 | 35.0(-7.00)#23 | 32.0(-4.00)#3,552 |
24. | Bison | 29.0 | 35.0(-6.00)#24 | 32.0(-3.00)#3,733 |
25. | Tabor | 29.0 | 35.0(-6.00)#25 | 32.0(-3.00)#3,736 |
26. | Gregory | 30.0 | 35.0(-5.00)#26 | 32.0(-2.00)#3,909 |
27. | Alcester | 30.0 | 35.0(-5.00)#27 | 32.0(-2.00)#3,917 |
28. | Volga | 31.0 | 35.0(-4.00)#28 | 32.0(-1.000)#4,069 |
29. | Clark | 31.0 | 35.0(-4.00)#29 | 32.0(-1.000)#4,089 |
30. | Brookings | 33.0 | 35.0(-2.00)#30 | 32.0(+1.000)#4,323 |
31. | Timber Lake | 33.0 | 35.0(-2.00)#31 | 32.0(+1.000)#4,451 |
32. | Warner | 34.0 | 35.0(-1.000)#32 | 32.0(+2.00)#4,627 |
33. | Harrisburg | 35.0 | 35.0(=0.000)#33 | 32.0(+3.00)#4,701 |
34. | Tea | 36.0 | 35.0(+1.000)#34 | 32.0(+4.00)#4,859 |
35. | Miller | 36.0 | 35.0(+1.000)#35 | 32.0(+4.00)#4,911 |
36. | Rapid City | 37.0 | 35.0(+2.00)#36 | 32.0(+5.00)#4,957 |
37. | Northville | 38.0 | 35.0(+3.00)#37 | 32.0(+6.00)#5,281 |
38. | Whitewood | 39.0 | 35.0(+4.00)#38 | 32.0(+7.00)#5,412 |
39. | Sioux Falls | 43.0 | 35.0(+8.00)#39 | 32.0(+11.0)#5,805 |
40. | Bruce | 45.0 | 35.0(+10.00)#40 | 32.0(+13.0)#6,164 |
41. | Beresford | 47.0 | 35.0(+12.0)#41 | 32.0(+15.0)#6,326 |
42. | Aberdeen | 48.0 | 35.0(+13.0)#42 | 32.0(+16.0)#6,382 |
43. | Pierre | 50.0 | 35.0(+15.0)#43 | 32.0(+18.0)#6,608 |
44. | Scotland | 50.0 | 35.0(+15.0)#44 | 32.0(+18.0)#6,659 |
45. | Baltic | 56.0 | 35.0(+21.0)#45 | 32.0(+24.0)#7,205 |
46. | Wagner | 57.0 | 35.0(+22.0)#46 | 32.0(+25.0)#7,281 |
47. | Faulkton | 60.0 | 35.0(+25.0)#47 | 32.0(+28.0)#7,494 |
48. | Corsica | 65.0 | 35.0(+30.0)#48 | 32.0(+33.0)#7,813 |
49. | Hecla | 67.0 | 35.0(+32.0)#49 | 32.0(+35.0)#7,933 |
50. | Iroquois | 73.0 | 35.0(+38.0)#50 | 32.0(+41.0)#8,231 |
51. | Vermillion | 74.0 | 35.0(+39.0)#51 | 32.0(+42.0)#8,238 |
52. | Groton | 80.0 | 35.0(+45.0)#52 | 32.0(+48.0)#8,516 |
53. | Lake Norden | 80.0 | 35.0(+45.0)#53 | 32.0(+48.0)#8,525 |
54. | Menno | 81.0 | 35.0(+46.0)#54 | 32.0(+49.0)#8,559 |
55. | Bristol | 83.0 | 35.0(+48.0)#55 | 32.0(+51.0)#8,641 |
56. | Mellette | 83.0 | 35.0(+48.0)#56 | 32.0(+51.0)#8,648 |
57. | Stockholm | 83.0 | 35.0(+48.0)#57 | 32.0(+51.0)#8,650 |
58. | Martin | 88.0 | 35.0(+53.0)#58 | 32.0(+56.0)#8,804 |
59. | Salem | 93.0 | 35.0(+58.0)#59 | 32.0(+61.0)#8,936 |
60. | Sisseton | 94.0 | 35.0(+59.0)#60 | 32.0(+62.0)#8,965 |
61. | Canistota | 98.0 | 35.0(+63.0)#61 | 32.0(+66.0)#9,078 |
62. | Yankton | 104.0 | 35.0(+69.0)#62 | 32.0(+72.0)#9,210 |
63. | Lower Brule | 113.0 | 35.0(+78.0)#63 | 32.0(+81.0)#9,453 |
64. | Eureka | 115.0 | 35.0(+80.0)#64 | 32.0(+83.0)#9,484 |
65. | Antelope | 122.0 | 35.0(+87.0)#65 | 32.0(+90.0)#9,615 |
66. | Lake Madison | 130.0 | 35.0(+95.0)#66 | 32.0(+98.0)#9,740 |
67. | Astoria | 143.0 | 35.0(+108)#67 | 32.0(+111)#9,942 |
68. | Wessington Springs | 148.0 | 35.0(+113)#68 | 32.0(+116)#9,988 |
69. | Colome | 148.0 | 35.0(+113)#69 | 32.0(+116)#9,991 |
70. | Highmore | 152.0 | 35.0(+117)#70 | 32.0(+120)#10,038 |
71. | Madison | 154.0 | 35.0(+119)#71 | 32.0(+122)#10,046 |
72. | Armour | 158.0 | 35.0(+123)#72 | 32.0(+126)#10,085 |
73. | Carthage | 222.0 | 35.0(+187)#73 | 32.0(+190)#10,499 |
74. | Pierpont | 222.0 | 35.0(+187)#74 | 32.0(+190)#10,501 |
75. | Webster | 224.0 | 35.0(+189)#75 | 32.0(+192)#10,509 |
76. | Kranzburg | 227.0 | 35.0(+192)#76 | 32.0(+195)#10,523 |
77. | Mina | 229.0 | 35.0(+194)#77 | 32.0(+197)#10,529 |
78. | Claire City | 250.0 | 35.0(+215)#78 | 32.0(+218)#10,613 |
79. | Britton | 255.0 | 35.0(+220)#79 | 32.0(+223)#10,623 |
80. | Herreid | 268.0 | 35.0(+233)#80 | 32.0(+236)#10,664 |
81. | Marty | 278.0 | 35.0(+243)#81 | 32.0(+246)#10,694 |
82. | Oahe Acres | 333.0 | 35.0(+298)#82 | 32.0(+301)#10,775 |
83. | Claremont | 333.0 | 35.0(+298)#83 | 32.0(+301)#10,796 |
84. | Sherman | 333.0 | 35.0(+298)#84 | 32.0(+301)#10,798 |
85. | Delmont | 385.0 | 35.0(+350)#85 | 32.0(+353)#10,856 |
86. | Alpena | 500.0 | 35.0(+465)#86 | 32.0(+468)#10,928 |
87. | Sinai | 500.0 | 35.0(+465)#87 | 32.0(+468)#10,938 |
88. | Meadow View Addition | 529.0 | 35.0(+494)#88 | 32.0(+497)#10,962 |
89. | Prairiewood | 545.0 | 35.0(+510)#89 | 32.0(+513)#10,964 |
90. | Wakonda | 632.0 | 35.0(+597)#90 | 32.0(+600)#10,986 |
91. | Midland | 1,000.0 | 35.0(+965)#91 | 32.0(+968)#11,046 |
92. | Harrold | 1,000.0 | 35.0(+965)#92 | 32.0(+968)#11,059 |
Common Questions
What are the Top 10 Cities with the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota?
Top 10 Cities with the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota are:
#1
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#2
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#3
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#4
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#5
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#6
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#7
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#8
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#9
6.0
#10
7.0
What city has the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota?
Rapid Valley has the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota with 6.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of South Dakota?
Number of Births per 1,000 Women Over the Age of 35 in South Dakota is 35.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.