	Zip Code	Births / 1,000 Women	vs State	vs National
1.	24924	1,000.0	50.0(+950)#1	53.0(+947)#5
2.	26546	1,000.0	50.0(+950)#2	53.0(+947)#16
3.	26631	1,000.0	50.0(+950)#3	53.0(+947)#20
4.	26224	1,000.0	50.0(+950)#4	53.0(+947)#26
5.	26289	1,000.0	50.0(+950)#5	53.0(+947)#59
6.	25267	818.0	50.0(+768)#6	53.0(+765)#68
7.	26203	741.0	50.0(+691)#7	53.0(+688)#79
8.	26039	700.0	50.0(+650)#8	53.0(+647)#89
9.	25651	697.0	50.0(+647)#9	53.0(+644)#91
10.	25432	692.0	50.0(+642)#10	53.0(+639)#94
11.	26348	679.0	50.0(+629)#11	53.0(+626)#98
12.	26587	554.0	50.0(+504)#12	53.0(+501)#144
13.	24862	529.0	50.0(+479)#13	53.0(+476)#156
14.	26443	490.0	50.0(+440)#14	53.0(+437)#183
15.	24818	471.0	50.0(+421)#15	53.0(+418)#196
16.	26036	389.0	50.0(+339)#16	53.0(+336)#272
17.	25984	348.0	50.0(+298)#17	53.0(+295)#343
18.	24941	345.0	50.0(+295)#18	53.0(+292)#348
19.	24880	325.0	50.0(+275)#19	53.0(+272)#396
20.	24828	308.0	50.0(+258)#20	53.0(+255)#429
21.	24935	298.0	50.0(+248)#21	53.0(+245)#462
22.	25932	295.0	50.0(+245)#22	53.0(+242)#470
23.	26273	287.0	50.0(+237)#23	53.0(+234)#492
24.	24715	286.0	50.0(+236)#24	53.0(+233)#501
25.	25971	284.0	50.0(+234)#25	53.0(+231)#512
26.	26422	278.0	50.0(+228)#26	53.0(+225)#534
27.	25515	272.0	50.0(+222)#27	53.0(+219)#556
28.	26761	270.0	50.0(+220)#28	53.0(+217)#561
29.	26684	259.0	50.0(+209)#29	53.0(+206)#614
30.	25958	257.0	50.0(+207)#30	53.0(+204)#622
31.	25567	255.0	50.0(+205)#31	53.0(+202)#634
32.	25606	244.0	50.0(+194)#32	53.0(+191)#695
33.	24894	240.0	50.0(+190)#33	53.0(+187)#716
34.	26716	235.0	50.0(+185)#34	53.0(+182)#741
35.	26572	233.0	50.0(+183)#35	53.0(+180)#751
36.	25555	225.0	50.0(+175)#36	53.0(+172)#800
37.	26845	225.0	50.0(+175)#37	53.0(+172)#803
38.	26717	224.0	50.0(+174)#38	53.0(+171)#810
39.	26763	215.0	50.0(+165)#39	53.0(+162)#860
40.	24868	211.0	50.0(+161)#40	53.0(+158)#880
41.	26722	206.0	50.0(+156)#41	53.0(+153)#919
42.	25962	204.0	50.0(+154)#42	53.0(+151)#933
43.	26575	203.0	50.0(+153)#43	53.0(+150)#949
44.	25049	203.0	50.0(+153)#44	53.0(+150)#950
45.	25285	197.0	50.0(+147)#45	53.0(+144)#1,018
46.	24920	195.0	50.0(+145)#46	53.0(+142)#1,044
47.	25978	191.0	50.0(+141)#47	53.0(+138)#1,087
48.	25180	188.0	50.0(+138)#48	53.0(+135)#1,123
49.	26804	186.0	50.0(+136)#49	53.0(+133)#1,155
50.	25244	181.0	50.0(+131)#50	53.0(+128)#1,207
51.	25866	180.0	50.0(+130)#51	53.0(+127)#1,220
52.	25841	178.0	50.0(+128)#52	53.0(+125)#1,245
53.	26386	174.0	50.0(+124)#53	53.0(+121)#1,293
54.	25845	171.0	50.0(+121)#54	53.0(+118)#1,358
55.	26374	169.0	50.0(+119)#55	53.0(+116)#1,383
56.	25676	163.0	50.0(+113)#56	53.0(+110)#1,500
57.	26238	161.0	50.0(+111)#57	53.0(+108)#1,538
58.	25035	161.0	50.0(+111)#58	53.0(+108)#1,541
59.	26369	161.0	50.0(+111)#59	53.0(+108)#1,542
60.	25646	157.0	50.0(+107)#60	53.0(+104)#1,619
61.	26175	155.0	50.0(+105)#61	53.0(+102)#1,642
62.	25048	153.0	50.0(+103)#62	53.0(+100.0)#1,694
63.	26519	152.0	50.0(+102)#63	53.0(+99.0)#1,703
64.	25617	141.0	50.0(+91.0)#64	53.0(+88.0)#1,980
65.	25070	137.0	50.0(+87.0)#65	53.0(+84.0)#2,089
66.	26430	136.0	50.0(+86.0)#66	53.0(+83.0)#2,126
67.	25063	136.0	50.0(+86.0)#67	53.0(+83.0)#2,129
68.	26206	131.0	50.0(+81.0)#68	53.0(+78.0)#2,292
69.	25564	130.0	50.0(+80.0)#69	53.0(+77.0)#2,323
70.	25208	128.0	50.0(+78.0)#70	53.0(+75.0)#2,417
71.	26184	125.0	50.0(+75.0)#71	53.0(+72.0)#2,526
72.	26431	124.0	50.0(+74.0)#72	53.0(+71.0)#2,565
73.	26283	123.0	50.0(+73.0)#73	53.0(+70.0)#2,618
74.	25871	123.0	50.0(+73.0)#74	53.0(+70.0)#2,629
75.	25909	123.0	50.0(+73.0)#75	53.0(+70.0)#2,633
76.	26755	122.0	50.0(+72.0)#76	53.0(+69.0)#2,681
77.	25685	119.0	50.0(+69.0)#77	53.0(+66.0)#2,794
78.	25644	119.0	50.0(+69.0)#78	53.0(+66.0)#2,797
79.	26030	118.0	50.0(+68.0)#79	53.0(+65.0)#2,849
80.	25234	115.0	50.0(+65.0)#80	53.0(+62.0)#3,006
81.	26707	115.0	50.0(+65.0)#81	53.0(+62.0)#3,013
82.	25130	114.0	50.0(+64.0)#82	53.0(+61.0)#3,039
83.	25652	114.0	50.0(+64.0)#83	53.0(+61.0)#3,048
84.	24916	114.0	50.0(+64.0)#84	53.0(+61.0)#3,055
85.	26419	113.0	50.0(+63.0)#85	53.0(+60.0)#3,108
86.	25420	112.0	50.0(+62.0)#86	53.0(+59.0)#3,137
87.	26440	112.0	50.0(+62.0)#87	53.0(+59.0)#3,167
88.	25108	109.0	50.0(+59.0)#88	53.0(+56.0)#3,346
89.	26610	108.0	50.0(+58.0)#89	53.0(+55.0)#3,420
90.	26271	105.0	50.0(+55.0)#90	53.0(+52.0)#3,628
91.	26833	103.0	50.0(+53.0)#91	53.0(+50.0)#3,747
92.	26060	102.0	50.0(+52.0)#92	53.0(+49.0)#3,833
93.	25160	102.0	50.0(+52.0)#93	53.0(+49.0)#3,852
94.	26170	101.0	50.0(+51.0)#94	53.0(+48.0)#3,878
95.	25045	100.0	50.0(+50.0)#95	53.0(+47.0)#3,945
96.	26105	99.0	50.0(+49.0)#96	53.0(+46.0)#4,032
97.	25637	99.0	50.0(+49.0)#97	53.0(+46.0)#4,081
98.	26180	97.0	50.0(+47.0)#98	53.0(+44.0)#4,245
99.	24747	96.0	50.0(+46.0)#99	53.0(+43.0)#4,335
100.	24882	96.0	50.0(+46.0)#100	53.0(+43.0)#4,357

2 3 4

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in West Virginia?

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

1,000.0

1,000.0

1,000.0

1,000.0

1,000.0

818.0

741.0

700.0

697.0

#10

25432

692.0

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

24924 has the Most Births per 1,000 Women Below Poverty Level in West Virginia with 1,000.0.

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.