	Zip Code	Births / 1,000 Women	vs State	vs National
1.	57369	4.0	35.0(-31.0)#1	32.0(-28.0)#375
2.	57718	5.0	35.0(-30.0)#2	32.0(-27.0)#514
3.	57625	6.0	35.0(-29.0)#3	32.0(-26.0)#751
4.	57015	8.0	35.0(-27.0)#4	32.0(-24.0)#1,279
5.	57039	9.0	35.0(-26.0)#5	32.0(-23.0)#1,477
6.	57014	9.0	35.0(-26.0)#6	32.0(-23.0)#1,523
7.	57241	10.0	35.0(-25.0)#7	32.0(-22.0)#1,816
8.	57005	11.0	35.0(-24.0)#8	32.0(-21.0)#1,951
9.	57077	11.0	35.0(-24.0)#9	32.0(-21.0)#2,098
10.	57719	12.0	35.0(-23.0)#10	32.0(-20.0)#2,275
11.	57028	12.0	35.0(-23.0)#11	32.0(-20.0)#2,352
12.	57220	13.0	35.0(-22.0)#12	32.0(-19.0)#2,692
13.	57063	14.0	35.0(-21.0)#13	32.0(-18.0)#3,002
14.	57106	15.0	35.0(-20.0)#14	32.0(-17.0)#3,021
15.	57035	15.0	35.0(-20.0)#15	32.0(-17.0)#3,283
16.	57703	16.0	35.0(-19.0)#16	32.0(-16.0)#3,424
17.	57793	16.0	35.0(-19.0)#17	32.0(-16.0)#3,553
18.	57001	16.0	35.0(-19.0)#18	32.0(-16.0)#3,562
19.	57068	17.0	35.0(-18.0)#19	32.0(-15.0)#3,877
20.	57735	17.0	35.0(-18.0)#20	32.0(-15.0)#3,879
21.	57384	17.0	35.0(-18.0)#21	32.0(-15.0)#3,890
22.	57223	18.0	35.0(-17.0)#22	32.0(-14.0)#4,189
23.	57465	20.0	35.0(-15.0)#23	32.0(-12.0)#4,819
24.	57717	21.0	35.0(-14.0)#24	32.0(-11.0)#5,030
25.	57071	21.0	35.0(-14.0)#25	32.0(-11.0)#5,108
26.	57362	22.0	35.0(-13.0)#26	32.0(-10.00)#5,425
27.	57201	23.0	35.0(-12.0)#27	32.0(-9.00)#5,533
28.	57225	23.0	35.0(-12.0)#28	32.0(-9.00)#5,704
29.	57033	24.0	35.0(-11.0)#29	32.0(-8.00)#5,955
30.	57325	24.0	35.0(-11.0)#30	32.0(-8.00)#5,985
31.	57026	24.0	35.0(-11.0)#31	32.0(-8.00)#6,030
32.	57104	26.0	35.0(-9.00)#32	32.0(-6.00)#6,484
33.	57620	26.0	35.0(-9.00)#33	32.0(-6.00)#6,683
34.	57022	27.0	35.0(-8.00)#34	32.0(-5.00)#6,923
35.	57533	27.0	35.0(-8.00)#35	32.0(-5.00)#6,973
36.	57016	27.0	35.0(-8.00)#36	32.0(-5.00)#6,996
37.	57446	27.0	35.0(-8.00)#37	32.0(-5.00)#6,997
38.	57479	27.0	35.0(-8.00)#38	32.0(-5.00)#6,999
39.	57006	29.0	35.0(-6.00)#39	32.0(-3.00)#7,406
40.	57032	29.0	35.0(-6.00)#40	32.0(-3.00)#7,488
41.	57656	29.0	35.0(-6.00)#41	32.0(-3.00)#7,564
42.	57004	30.0	35.0(-5.00)#42	32.0(-2.00)#7,800
43.	57355	30.0	35.0(-5.00)#43	32.0(-2.00)#7,840
44.	57580	31.0	35.0(-4.00)#44	32.0(-1.000)#8,081
45.	57702	33.0	35.0(-2.00)#45	32.0(+1.000)#8,493
46.	57301	33.0	35.0(-2.00)#46	32.0(+1.000)#8,562
47.	57264	34.0	35.0(-1.000)#47	32.0(+2.00)#8,995
48.	57059	35.0	35.0(=0.000)#48	32.0(+3.00)#9,237
49.	57552	36.0	35.0(+1.000)#49	32.0(+4.00)#9,475
50.	57701	38.0	35.0(+3.00)#50	32.0(+6.00)#9,745
51.	57328	38.0	35.0(+3.00)#51	32.0(+6.00)#9,930
52.	57030	41.0	35.0(+6.00)#52	32.0(+9.00)#10,539
53.	57349	41.0	35.0(+6.00)#53	32.0(+9.00)#10,557
54.	57075	41.0	35.0(+6.00)#54	32.0(+9.00)#10,562
55.	57213	44.0	35.0(+9.00)#55	32.0(+12.0)#11,175
56.	57368	45.0	35.0(+10.00)#56	32.0(+13.0)#11,362
57.	57451	46.0	35.0(+11.0)#57	32.0(+14.0)#11,517
58.	57105	47.0	35.0(+12.0)#58	32.0(+15.0)#11,585
59.	57501	49.0	35.0(+14.0)#59	32.0(+17.0)#11,947
60.	57107	49.0	35.0(+14.0)#60	32.0(+17.0)#11,957
61.	57110	50.0	35.0(+15.0)#61	32.0(+18.0)#12,087
62.	57401	51.0	35.0(+16.0)#62	32.0(+19.0)#12,222
63.	57438	51.0	35.0(+16.0)#63	32.0(+19.0)#12,311
64.	57045	52.0	35.0(+17.0)#64	32.0(+20.0)#12,439
65.	57356	53.0	35.0(+18.0)#65	32.0(+21.0)#12,551
66.	57248	53.0	35.0(+18.0)#66	32.0(+21.0)#12,564
67.	57353	53.0	35.0(+18.0)#67	32.0(+21.0)#12,569
68.	57551	55.0	35.0(+20.0)#68	32.0(+23.0)#12,804
69.	57262	57.0	35.0(+22.0)#69	32.0(+25.0)#13,005
70.	57790	57.0	35.0(+22.0)#70	32.0(+25.0)#13,041
71.	57020	59.0	35.0(+24.0)#71	32.0(+27.0)#13,256
72.	57548	59.0	35.0(+24.0)#72	32.0(+27.0)#13,258
73.	57219	59.0	35.0(+24.0)#73	32.0(+27.0)#13,274
74.	57769	60.0	35.0(+25.0)#74	32.0(+28.0)#13,341
75.	57103	63.0	35.0(+28.0)#75	32.0(+31.0)#13,572
76.	57568	64.0	35.0(+29.0)#76	32.0(+32.0)#13,736
77.	57069	65.0	35.0(+30.0)#77	32.0(+33.0)#13,778
78.	57058	66.0	35.0(+31.0)#78	32.0(+34.0)#13,905
79.	57445	66.0	35.0(+31.0)#79	32.0(+34.0)#13,906
80.	57249	66.0	35.0(+31.0)#80	32.0(+34.0)#13,912
81.	57631	71.0	35.0(+36.0)#81	32.0(+39.0)#14,291
82.	57461	71.0	35.0(+36.0)#82	32.0(+39.0)#14,292
83.	57432	71.0	35.0(+36.0)#83	32.0(+39.0)#14,294
84.	57108	73.0	35.0(+38.0)#84	32.0(+41.0)#14,354
85.	57345	73.0	35.0(+38.0)#85	32.0(+41.0)#14,417
86.	57577	75.0	35.0(+40.0)#86	32.0(+43.0)#14,543
87.	57381	78.0	35.0(+43.0)#87	32.0(+46.0)#14,693
88.	57078	81.0	35.0(+46.0)#88	32.0(+49.0)#14,804
89.	57430	83.0	35.0(+48.0)#89	32.0(+51.0)#14,911
90.	57064	85.0	35.0(+50.0)#90	32.0(+53.0)#14,975
91.	57437	85.0	35.0(+50.0)#91	32.0(+53.0)#14,996
92.	57313	88.0	35.0(+53.0)#92	32.0(+56.0)#15,113
93.	57266	88.0	35.0(+53.0)#93	32.0(+56.0)#15,120
94.	57003	95.0	35.0(+60.0)#94	32.0(+63.0)#15,322
95.	57744	96.0	35.0(+61.0)#95	32.0(+64.0)#15,355
96.	57012	97.0	35.0(+62.0)#96	32.0(+65.0)#15,387
97.	57382	105.0	35.0(+70.0)#97	32.0(+73.0)#15,589
98.	57380	115.0	35.0(+80.0)#98	32.0(+83.0)#15,760
99.	57536	118.0	35.0(+83.0)#99	32.0(+86.0)#15,816
100.	57555	119.0	35.0(+84.0)#100	32.0(+87.0)#15,830

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Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota?

Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota are:

4.0

5.0

6.0

8.0

9.0

9.0

10.0

11.0

11.0

#10

57719

12.0

What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota?

57369 has the Fewest Births per 1,000 Women Over the Age of 35 in South Dakota with 4.0.

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.