	Zip Code	Births / 1,000 Women	vs State	vs National
1.	57574	1,000.0	35.0(+965)#1	32.0(+968)#27
2.	57646	604.0	35.0(+569)#2	32.0(+572)#63
3.	57725	556.0	35.0(+521)#3	32.0(+524)#75
4.	57073	500.0	35.0(+465)#4	32.0(+468)#90
5.	57061	500.0	35.0(+465)#5	32.0(+468)#96
6.	57024	373.0	35.0(+338)#6	32.0(+341)#150
7.	57227	353.0	35.0(+318)#7	32.0(+321)#171
8.	57312	292.0	35.0(+257)#8	32.0(+260)#236
9.	57272	286.0	35.0(+251)#9	32.0(+254)#245
10.	57361	278.0	35.0(+243)#10	32.0(+246)#258
11.	57330	256.0	35.0(+221)#11	32.0(+224)#301
12.	57632	254.0	35.0(+219)#12	32.0(+222)#305
13.	57335	250.0	35.0(+215)#13	32.0(+218)#320
14.	57224	250.0	35.0(+215)#14	32.0(+218)#324
15.	57528	233.0	35.0(+198)#15	32.0(+201)#368
16.	57450	233.0	35.0(+198)#16	32.0(+201)#369
17.	57245	227.0	35.0(+192)#17	32.0(+195)#384
18.	57321	217.0	35.0(+182)#18	32.0(+185)#408
19.	57448	200.0	35.0(+165)#19	32.0(+168)#475
20.	57467	190.0	35.0(+155)#20	32.0(+158)#532
21.	57468	174.0	35.0(+139)#21	32.0(+142)#629
22.	57274	146.0	35.0(+111)#22	32.0(+114)#841
23.	57043	140.0	35.0(+105)#23	32.0(+108)#901
24.	57042	134.0	35.0(+99.0)#24	32.0(+102)#966
25.	57472	133.0	35.0(+98.0)#25	32.0(+101)#981
26.	57323	125.0	35.0(+90.0)#26	32.0(+93.0)#1,104
27.	57555	119.0	35.0(+84.0)#27	32.0(+87.0)#1,178
28.	57536	118.0	35.0(+83.0)#28	32.0(+86.0)#1,196
29.	57380	115.0	35.0(+80.0)#29	32.0(+83.0)#1,242
30.	57382	105.0	35.0(+70.0)#30	32.0(+73.0)#1,420
31.	57012	97.0	35.0(+62.0)#31	32.0(+65.0)#1,635
32.	57744	96.0	35.0(+61.0)#32	32.0(+64.0)#1,663
33.	57003	95.0	35.0(+60.0)#33	32.0(+63.0)#1,689
34.	57313	88.0	35.0(+53.0)#34	32.0(+56.0)#1,917
35.	57266	88.0	35.0(+53.0)#35	32.0(+56.0)#1,924
36.	57064	85.0	35.0(+50.0)#36	32.0(+53.0)#2,016
37.	57437	85.0	35.0(+50.0)#37	32.0(+53.0)#2,037
38.	57430	83.0	35.0(+48.0)#38	32.0(+51.0)#2,104
39.	57078	81.0	35.0(+46.0)#39	32.0(+49.0)#2,175
40.	57381	78.0	35.0(+43.0)#40	32.0(+46.0)#2,352
41.	57577	75.0	35.0(+40.0)#41	32.0(+43.0)#2,513
42.	57108	73.0	35.0(+38.0)#42	32.0(+41.0)#2,588
43.	57345	73.0	35.0(+38.0)#43	32.0(+41.0)#2,651
44.	57631	71.0	35.0(+36.0)#44	32.0(+39.0)#2,780
45.	57461	71.0	35.0(+36.0)#45	32.0(+39.0)#2,781
46.	57432	71.0	35.0(+36.0)#46	32.0(+39.0)#2,783
47.	57058	66.0	35.0(+31.0)#47	32.0(+34.0)#3,156
48.	57445	66.0	35.0(+31.0)#48	32.0(+34.0)#3,157
49.	57249	66.0	35.0(+31.0)#49	32.0(+34.0)#3,163
50.	57069	65.0	35.0(+30.0)#50	32.0(+33.0)#3,210
51.	57568	64.0	35.0(+29.0)#51	32.0(+32.0)#3,342
52.	57103	63.0	35.0(+28.0)#52	32.0(+31.0)#3,356
53.	57769	60.0	35.0(+25.0)#53	32.0(+28.0)#3,696
54.	57020	59.0	35.0(+24.0)#54	32.0(+27.0)#3,815
55.	57548	59.0	35.0(+24.0)#55	32.0(+27.0)#3,817
56.	57219	59.0	35.0(+24.0)#56	32.0(+27.0)#3,834
57.	57262	57.0	35.0(+22.0)#57	32.0(+25.0)#4,013
58.	57790	57.0	35.0(+22.0)#58	32.0(+25.0)#4,049
59.	57551	55.0	35.0(+20.0)#59	32.0(+23.0)#4,298
60.	57356	53.0	35.0(+18.0)#60	32.0(+21.0)#4,540
61.	57248	53.0	35.0(+18.0)#61	32.0(+21.0)#4,553
62.	57353	53.0	35.0(+18.0)#62	32.0(+21.0)#4,558
63.	57045	52.0	35.0(+17.0)#63	32.0(+20.0)#4,683
64.	57401	51.0	35.0(+16.0)#64	32.0(+19.0)#4,724
65.	57438	51.0	35.0(+16.0)#65	32.0(+19.0)#4,813
66.	57110	50.0	35.0(+15.0)#66	32.0(+18.0)#4,892
67.	57501	49.0	35.0(+14.0)#67	32.0(+17.0)#5,083
68.	57107	49.0	35.0(+14.0)#68	32.0(+17.0)#5,093
69.	57105	47.0	35.0(+12.0)#69	32.0(+15.0)#5,371
70.	57451	46.0	35.0(+11.0)#70	32.0(+14.0)#5,618
71.	57368	45.0	35.0(+10.00)#71	32.0(+13.0)#5,819
72.	57213	44.0	35.0(+9.00)#72	32.0(+12.0)#6,012
73.	57030	41.0	35.0(+6.00)#73	32.0(+9.00)#6,630
74.	57349	41.0	35.0(+6.00)#74	32.0(+9.00)#6,648
75.	57075	41.0	35.0(+6.00)#75	32.0(+9.00)#6,653
76.	57701	38.0	35.0(+3.00)#76	32.0(+6.00)#7,094
77.	57328	38.0	35.0(+3.00)#77	32.0(+6.00)#7,279
78.	57552	36.0	35.0(+1.000)#78	32.0(+4.00)#7,759
79.	57059	35.0	35.0(=0.000)#79	32.0(+3.00)#8,003
80.	57264	34.0	35.0(-1.000)#80	32.0(+2.00)#8,298
81.	57702	33.0	35.0(-2.00)#81	32.0(+1.000)#8,374
82.	57301	33.0	35.0(-2.00)#82	32.0(+1.000)#8,443
83.	57580	31.0	35.0(-4.00)#83	32.0(-1.000)#9,095
84.	57004	30.0	35.0(-5.00)#84	32.0(-2.00)#9,382
85.	57355	30.0	35.0(-5.00)#85	32.0(-2.00)#9,422
86.	57006	29.0	35.0(-6.00)#86	32.0(-3.00)#9,561
87.	57032	29.0	35.0(-6.00)#87	32.0(-3.00)#9,643
88.	57656	29.0	35.0(-6.00)#88	32.0(-3.00)#9,719
89.	57022	27.0	35.0(-8.00)#89	32.0(-5.00)#10,236
90.	57533	27.0	35.0(-8.00)#90	32.0(-5.00)#10,286
91.	57016	27.0	35.0(-8.00)#91	32.0(-5.00)#10,309
92.	57446	27.0	35.0(-8.00)#92	32.0(-5.00)#10,310
93.	57479	27.0	35.0(-8.00)#93	32.0(-5.00)#10,312
94.	57104	26.0	35.0(-9.00)#94	32.0(-6.00)#10,426
95.	57620	26.0	35.0(-9.00)#95	32.0(-6.00)#10,625
96.	57033	24.0	35.0(-11.0)#96	32.0(-8.00)#11,170
97.	57325	24.0	35.0(-11.0)#97	32.0(-8.00)#11,200
98.	57026	24.0	35.0(-11.0)#98	32.0(-8.00)#11,245
99.	57201	23.0	35.0(-12.0)#99	32.0(-9.00)#11,354
100.	57225	23.0	35.0(-12.0)#100	32.0(-9.00)#11,525

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Common Questions

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

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

1,000.0

604.0

556.0

500.0

500.0

373.0

353.0

292.0

286.0

#10

57361

278.0

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

57574 has the Most Births per 1,000 Women Over the Age of 35 in South Dakota with 1,000.0.

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.