	Zip Code	Births / 1,000 Women	vs State	vs National
1.	26588	3.0	50.0(-47.0)#1	53.0(-50.0)#68
2.	26704	4.0	50.0(-46.0)#2	53.0(-49.0)#99
3.	25545	8.0	50.0(-42.0)#3	53.0(-45.0)#386
4.	26143	8.0	50.0(-42.0)#4	53.0(-45.0)#391
5.	25921	8.0	50.0(-42.0)#5	53.0(-45.0)#396
6.	25306	9.0	50.0(-41.0)#6	53.0(-44.0)#483
7.	25067	9.0	50.0(-41.0)#7	53.0(-44.0)#564
8.	26146	9.0	50.0(-41.0)#8	53.0(-44.0)#567
9.	24740	10.0	50.0(-40.0)#9	53.0(-43.0)#592
10.	26537	10.0	50.0(-40.0)#10	53.0(-43.0)#614
11.	25670	10.0	50.0(-40.0)#11	53.0(-43.0)#629
12.	26218	10.0	50.0(-40.0)#12	53.0(-43.0)#635
13.	25136	10.0	50.0(-40.0)#13	53.0(-43.0)#656
14.	24951	10.0	50.0(-40.0)#14	53.0(-43.0)#663
15.	25271	11.0	50.0(-39.0)#15	53.0(-42.0)#732
16.	25702	11.0	50.0(-39.0)#16	53.0(-42.0)#740
17.	25514	11.0	50.0(-39.0)#17	53.0(-42.0)#757
18.	26351	11.0	50.0(-39.0)#18	53.0(-42.0)#766
19.	26147	11.0	50.0(-39.0)#19	53.0(-42.0)#787
20.	26261	12.0	50.0(-38.0)#20	53.0(-41.0)#906
21.	26711	12.0	50.0(-38.0)#21	53.0(-41.0)#913
22.	25260	12.0	50.0(-38.0)#22	53.0(-41.0)#936
23.	26032	12.0	50.0(-38.0)#23	53.0(-41.0)#945
24.	26037	13.0	50.0(-37.0)#24	53.0(-40.0)#1,024
25.	26415	13.0	50.0(-37.0)#25	53.0(-40.0)#1,049
26.	25703	14.0	50.0(-36.0)#26	53.0(-39.0)#1,183
27.	25315	14.0	50.0(-36.0)#27	53.0(-39.0)#1,196
28.	25882	14.0	50.0(-36.0)#28	53.0(-39.0)#1,212
29.	25262	14.0	50.0(-36.0)#29	53.0(-39.0)#1,247
30.	26269	14.0	50.0(-36.0)#30	53.0(-39.0)#1,260
31.	26288	15.0	50.0(-35.0)#31	53.0(-38.0)#1,380
32.	25976	15.0	50.0(-35.0)#32	53.0(-38.0)#1,399
33.	26320	15.0	50.0(-35.0)#33	53.0(-38.0)#1,454
34.	26408	16.0	50.0(-34.0)#34	53.0(-37.0)#1,577
35.	24946	17.0	50.0(-33.0)#35	53.0(-36.0)#1,788
36.	25510	19.0	50.0(-31.0)#36	53.0(-34.0)#2,086
37.	26038	19.0	50.0(-31.0)#37	53.0(-34.0)#2,114
38.	26260	19.0	50.0(-31.0)#38	53.0(-34.0)#2,147
39.	26541	20.0	50.0(-30.0)#39	53.0(-33.0)#2,306
40.	26280	20.0	50.0(-30.0)#40	53.0(-33.0)#2,370
41.	25387	21.0	50.0(-29.0)#41	53.0(-32.0)#2,531
42.	25434	21.0	50.0(-29.0)#42	53.0(-32.0)#2,562
43.	24712	21.0	50.0(-29.0)#43	53.0(-32.0)#2,573
44.	26451	21.0	50.0(-29.0)#44	53.0(-32.0)#2,648
45.	25159	22.0	50.0(-28.0)#45	53.0(-31.0)#2,770
46.	25523	22.0	50.0(-28.0)#46	53.0(-31.0)#2,790
47.	24983	22.0	50.0(-28.0)#47	53.0(-31.0)#2,809
48.	25311	23.0	50.0(-27.0)#48	53.0(-30.0)#2,985
49.	25304	23.0	50.0(-27.0)#49	53.0(-30.0)#2,993
50.	25813	23.0	50.0(-27.0)#50	53.0(-30.0)#3,003
51.	26757	24.0	50.0(-26.0)#51	53.0(-29.0)#3,245
52.	26241	25.0	50.0(-25.0)#52	53.0(-28.0)#3,484
53.	25918	25.0	50.0(-25.0)#53	53.0(-28.0)#3,555
54.	26155	26.0	50.0(-24.0)#54	53.0(-27.0)#3,769
55.	25570	26.0	50.0(-24.0)#55	53.0(-27.0)#3,790
56.	26570	26.0	50.0(-24.0)#56	53.0(-27.0)#3,818
57.	25635	26.0	50.0(-24.0)#57	53.0(-27.0)#3,861
58.	26851	26.0	50.0(-24.0)#58	53.0(-27.0)#3,863
59.	24737	26.0	50.0(-24.0)#59	53.0(-27.0)#3,870
60.	25951	27.0	50.0(-23.0)#60	53.0(-26.0)#4,058
61.	24970	27.0	50.0(-23.0)#61	53.0(-26.0)#4,072
62.	26385	27.0	50.0(-23.0)#62	53.0(-26.0)#4,095
63.	26501	28.0	50.0(-22.0)#63	53.0(-25.0)#4,266
64.	25302	28.0	50.0(-22.0)#64	53.0(-25.0)#4,282
65.	26726	28.0	50.0(-22.0)#65	53.0(-25.0)#4,288
66.	24801	28.0	50.0(-22.0)#66	53.0(-25.0)#4,329
67.	26710	28.0	50.0(-22.0)#67	53.0(-25.0)#4,364
68.	25301	28.0	50.0(-22.0)#68	53.0(-25.0)#4,367
69.	26542	28.0	50.0(-22.0)#69	53.0(-25.0)#4,375
70.	25701	29.0	50.0(-21.0)#70	53.0(-24.0)#4,506
71.	25430	29.0	50.0(-21.0)#71	53.0(-24.0)#4,568
72.	25865	29.0	50.0(-21.0)#72	53.0(-24.0)#4,663
73.	26267	29.0	50.0(-21.0)#73	53.0(-24.0)#4,685
74.	24808	29.0	50.0(-21.0)#74	53.0(-24.0)#4,692
75.	25314	30.0	50.0(-20.0)#75	53.0(-23.0)#4,813
76.	24986	31.0	50.0(-19.0)#76	53.0(-22.0)#5,190
77.	24963	31.0	50.0(-19.0)#77	53.0(-22.0)#5,211
78.	26743	31.0	50.0(-19.0)#78	53.0(-22.0)#5,248
79.	25938	31.0	50.0(-19.0)#79	53.0(-22.0)#5,260
80.	24739	32.0	50.0(-18.0)#80	53.0(-21.0)#5,419
81.	26033	32.0	50.0(-18.0)#81	53.0(-21.0)#5,542
82.	26041	33.0	50.0(-17.0)#82	53.0(-20.0)#5,713
83.	25504	33.0	50.0(-17.0)#83	53.0(-20.0)#5,733
84.	25275	33.0	50.0(-17.0)#84	53.0(-20.0)#5,860
85.	24736	34.0	50.0(-16.0)#85	53.0(-19.0)#6,217
86.	26301	35.0	50.0(-15.0)#86	53.0(-18.0)#6,312
87.	26104	35.0	50.0(-15.0)#87	53.0(-18.0)#6,366
88.	25832	35.0	50.0(-15.0)#88	53.0(-18.0)#6,438
89.	25064	36.0	50.0(-14.0)#89	53.0(-17.0)#6,728
90.	25508	36.0	50.0(-14.0)#90	53.0(-17.0)#6,732
91.	26416	36.0	50.0(-14.0)#91	53.0(-17.0)#6,757
92.	26181	36.0	50.0(-14.0)#92	53.0(-17.0)#6,759
93.	26764	36.0	50.0(-14.0)#93	53.0(-17.0)#6,784
94.	24910	36.0	50.0(-14.0)#94	53.0(-17.0)#6,787
95.	24966	36.0	50.0(-14.0)#95	53.0(-17.0)#6,875
96.	25904	36.0	50.0(-14.0)#96	53.0(-17.0)#6,888
97.	25162	36.0	50.0(-14.0)#97	53.0(-17.0)#6,889
98.	26836	38.0	50.0(-12.0)#98	53.0(-15.0)#7,417
99.	25917	38.0	50.0(-12.0)#99	53.0(-15.0)#7,518
100.	26505	39.0	50.0(-11.0)#100	53.0(-14.0)#7,634

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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 West Virginia?

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

3.0

4.0

8.0

8.0

8.0

9.0

9.0

9.0

10.0

#10

26537

10.0

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

26588 has the Fewest Births per 1,000 Women Below Poverty Level in West Virginia with 3.0.

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

Number of Births per 1,000 Women Below Poverty Level in West Virginia is 50.0.

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.