	Zip Code	Births / 1,000 Women	vs State	vs National
1.	29142	3.0	55.0(-52.0)#1	53.0(-50.0)#56
2.	29741	3.0	55.0(-52.0)#2	53.0(-50.0)#76
3.	29805	6.0	55.0(-49.0)#3	53.0(-47.0)#225
4.	29435	6.0	55.0(-49.0)#4	53.0(-47.0)#229
5.	29631	7.0	55.0(-48.0)#5	53.0(-46.0)#282
6.	29061	7.0	55.0(-48.0)#6	53.0(-46.0)#286
7.	29585	8.0	55.0(-47.0)#7	53.0(-45.0)#361
8.	29145	8.0	55.0(-47.0)#8	53.0(-45.0)#433
9.	29038	9.0	55.0(-46.0)#9	53.0(-44.0)#518
10.	29945	10.0	55.0(-45.0)#10	53.0(-43.0)#623
11.	29056	10.0	55.0(-45.0)#11	53.0(-43.0)#644
12.	29564	10.0	55.0(-45.0)#12	53.0(-43.0)#670
13.	29148	11.0	55.0(-44.0)#13	53.0(-42.0)#750
14.	29928	12.0	55.0(-43.0)#14	53.0(-41.0)#850
15.	29684	12.0	55.0(-43.0)#15	53.0(-41.0)#883
16.	29450	12.0	55.0(-43.0)#16	53.0(-41.0)#907
17.	29547	12.0	55.0(-43.0)#17	53.0(-41.0)#919
18.	29018	13.0	55.0(-42.0)#18	53.0(-40.0)#1,052
19.	29080	13.0	55.0(-42.0)#19	53.0(-40.0)#1,060
20.	29146	13.0	55.0(-42.0)#20	53.0(-40.0)#1,092
21.	29566	14.0	55.0(-41.0)#21	53.0(-39.0)#1,136
22.	29591	14.0	55.0(-41.0)#22	53.0(-39.0)#1,188
23.	29571	15.0	55.0(-40.0)#23	53.0(-38.0)#1,311
24.	29125	15.0	55.0(-40.0)#24	53.0(-38.0)#1,383
25.	29809	15.0	55.0(-40.0)#25	53.0(-38.0)#1,400
26.	29843	16.0	55.0(-39.0)#26	53.0(-37.0)#1,612
27.	29662	17.0	55.0(-38.0)#27	53.0(-36.0)#1,674
28.	29691	17.0	55.0(-38.0)#28	53.0(-36.0)#1,684
29.	29824	17.0	55.0(-38.0)#29	53.0(-36.0)#1,700
30.	29372	17.0	55.0(-38.0)#30	53.0(-36.0)#1,731
31.	29563	17.0	55.0(-38.0)#31	53.0(-36.0)#1,767
32.	29532	18.0	55.0(-37.0)#32	53.0(-35.0)#1,834
33.	29323	18.0	55.0(-37.0)#33	53.0(-35.0)#1,848
34.	29477	18.0	55.0(-37.0)#34	53.0(-35.0)#1,875
35.	29572	20.0	55.0(-35.0)#35	53.0(-33.0)#2,243
36.	29565	20.0	55.0(-35.0)#36	53.0(-33.0)#2,272
37.	29511	20.0	55.0(-35.0)#37	53.0(-33.0)#2,276
38.	29201	21.0	55.0(-34.0)#38	53.0(-32.0)#2,452
39.	29472	21.0	55.0(-34.0)#39	53.0(-32.0)#2,490
40.	29546	21.0	55.0(-34.0)#40	53.0(-32.0)#2,575
41.	29475	21.0	55.0(-34.0)#41	53.0(-32.0)#2,578
42.	29567	21.0	55.0(-34.0)#42	53.0(-32.0)#2,645
43.	29601	22.0	55.0(-33.0)#43	53.0(-31.0)#2,709
44.	29107	22.0	55.0(-33.0)#44	53.0(-31.0)#2,791
45.	29009	22.0	55.0(-33.0)#45	53.0(-31.0)#2,798
46.	29525	22.0	55.0(-33.0)#46	53.0(-31.0)#2,806
47.	29426	22.0	55.0(-33.0)#47	53.0(-31.0)#2,816
48.	29635	22.0	55.0(-33.0)#48	53.0(-31.0)#2,835
49.	29582	23.0	55.0(-32.0)#49	53.0(-30.0)#2,946
50.	29153	23.0	55.0(-32.0)#50	53.0(-30.0)#2,964
51.	29376	23.0	55.0(-32.0)#51	53.0(-30.0)#2,992
52.	29588	24.0	55.0(-31.0)#52	53.0(-29.0)#3,143
53.	29204	24.0	55.0(-31.0)#53	53.0(-29.0)#3,194
54.	29431	24.0	55.0(-31.0)#54	53.0(-29.0)#3,246
55.	29718	24.0	55.0(-31.0)#55	53.0(-29.0)#3,279
56.	29577	25.0	55.0(-30.0)#56	53.0(-28.0)#3,407
57.	29360	25.0	55.0(-30.0)#57	53.0(-28.0)#3,448
58.	29832	25.0	55.0(-30.0)#58	53.0(-28.0)#3,544
59.	29069	25.0	55.0(-30.0)#59	53.0(-28.0)#3,559
60.	29137	25.0	55.0(-30.0)#60	53.0(-28.0)#3,595
61.	29911	25.0	55.0(-30.0)#61	53.0(-28.0)#3,618
62.	29114	25.0	55.0(-30.0)#62	53.0(-28.0)#3,620
63.	29466	26.0	55.0(-29.0)#63	53.0(-27.0)#3,674
64.	29063	26.0	55.0(-29.0)#64	53.0(-27.0)#3,678
65.	29388	26.0	55.0(-29.0)#65	53.0(-27.0)#3,733
66.	29672	26.0	55.0(-29.0)#66	53.0(-27.0)#3,750
67.	29003	26.0	55.0(-29.0)#67	53.0(-27.0)#3,787
68.	29848	26.0	55.0(-29.0)#68	53.0(-27.0)#3,885
69.	29907	27.0	55.0(-28.0)#69	53.0(-26.0)#3,998
70.	29162	27.0	55.0(-28.0)#70	53.0(-26.0)#4,078
71.	29455	28.0	55.0(-27.0)#71	53.0(-25.0)#4,247
72.	29682	28.0	55.0(-27.0)#72	53.0(-25.0)#4,345
73.	29929	28.0	55.0(-27.0)#73	53.0(-25.0)#4,410
74.	29812	29.0	55.0(-26.0)#74	53.0(-24.0)#4,547
75.	29827	29.0	55.0(-26.0)#75	53.0(-24.0)#4,612
76.	29607	30.0	55.0(-25.0)#76	53.0(-23.0)#4,730
77.	29569	30.0	55.0(-25.0)#77	53.0(-23.0)#4,806
78.	29325	30.0	55.0(-25.0)#78	53.0(-23.0)#4,823
79.	29709	30.0	55.0(-25.0)#79	53.0(-23.0)#4,872
80.	29639	30.0	55.0(-25.0)#80	53.0(-23.0)#4,955
81.	29926	32.0	55.0(-23.0)#81	53.0(-21.0)#5,379
82.	29512	32.0	55.0(-23.0)#82	53.0(-21.0)#5,404
83.	29161	32.0	55.0(-23.0)#83	53.0(-21.0)#5,433
84.	29696	32.0	55.0(-23.0)#84	53.0(-21.0)#5,484
85.	29593	32.0	55.0(-23.0)#85	53.0(-21.0)#5,529
86.	29526	33.0	55.0(-22.0)#86	53.0(-20.0)#5,612
87.	29340	33.0	55.0(-22.0)#87	53.0(-20.0)#5,695
88.	29229	34.0	55.0(-21.0)#88	53.0(-19.0)#5,932
89.	29745	34.0	55.0(-21.0)#89	53.0(-19.0)#5,965
90.	29205	34.0	55.0(-21.0)#90	53.0(-19.0)#5,996
91.	29075	34.0	55.0(-21.0)#91	53.0(-19.0)#6,148
92.	29909	36.0	55.0(-19.0)#92	53.0(-17.0)#6,630
93.	29655	36.0	55.0(-19.0)#93	53.0(-17.0)#6,742
94.	29364	36.0	55.0(-19.0)#94	53.0(-17.0)#6,886
95.	29730	37.0	55.0(-18.0)#95	53.0(-16.0)#6,918
96.	29036	37.0	55.0(-18.0)#96	53.0(-16.0)#6,980
97.	29078	37.0	55.0(-18.0)#97	53.0(-16.0)#7,034
98.	29536	37.0	55.0(-18.0)#98	53.0(-16.0)#7,036
99.	29579	38.0	55.0(-17.0)#99	53.0(-15.0)#7,227
100.	29715	38.0	55.0(-17.0)#100	53.0(-15.0)#7,241

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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 Carolina?

Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in South Carolina are:

3.0

3.0

6.0

6.0

7.0

7.0

8.0

8.0

9.0

#10

29945

10.0

What zip code has the Fewest Births per 1,000 Women Below Poverty Level in South Carolina?

29142 has the Fewest Births per 1,000 Women Below Poverty Level in South Carolina with 3.0.

What is the Number of Births per 1,000 Women Below Poverty Level in the State of South Carolina?

Number of Births per 1,000 Women Below Poverty Level in South Carolina is 55.0.

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.