	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

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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:

3.0

5.0

6.0

8.0

8.0

8.0

9.0

9.0

11.0

#10

57552

11.0

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.