	Zip Code	Births / 1,000 Women	vs State	vs National
1.	26301	3.0	19.0 (-16.0)#1	32.0 (-29.0)#126
2.	24701	3.0	19.0 (-16.0)#2	32.0 (-29.0)#140
3.	25705	4.0	19.0 (-15.0)#3	32.0 (-28.0)#267
4.	26711	5.0	19.0 (-14.0)#4	32.0 (-27.0)#559
5.	26415	7.0	19.0 (-12.0)#5	32.0 (-25.0)#959
6.	26570	7.0	19.0 (-12.0)#6	32.0 (-25.0)#966
7.	25177	8.0	19.0 (-11.0)#7	32.0 (-24.0)#1,073
8.	24740	9.0	19.0 (-10.00)#8	32.0 (-23.0)#1,378
9.	24901	9.0	19.0 (-10.00)#9	32.0 (-23.0)#1,431
10.	25504	10.0	19.0 (-9.00)#10	32.0 (-22.0)#1,675
11.	24970	10.0	19.0 (-9.00)#11	32.0 (-22.0)#1,756
12.	25701	11.0	19.0 (-8.00)#12	32.0 (-21.0)#1,893
13.	25526	12.0	19.0 (-7.00)#13	32.0 (-20.0)#2,204
14.	25438	12.0	19.0 (-7.00)#14	32.0 (-20.0)#2,313
15.	26201	13.0	19.0 (-6.00)#15	32.0 (-19.0)#2,511
16.	26501	13.0	19.0 (-6.00)#16	32.0 (-19.0)#2,513
17.	25425	13.0	19.0 (-6.00)#17	32.0 (-19.0)#2,547
18.	25064	13.0	19.0 (-6.00)#18	32.0 (-19.0)#2,580
19.	24910	13.0	19.0 (-6.00)#19	32.0 (-19.0)#2,623
20.	26038	13.0	19.0 (-6.00)#20	32.0 (-19.0)#2,643
21.	25404	14.0	19.0 (-5.00)#21	32.0 (-18.0)#2,789
22.	26104	14.0	19.0 (-5.00)#22	32.0 (-18.0)#2,825
23.	25405	15.0	19.0 (-4.00)#23	32.0 (-17.0)#3,140
24.	25401	15.0	19.0 (-4.00)#24	32.0 (-17.0)#3,144
25.	25882	15.0	19.0 (-4.00)#25	32.0 (-17.0)#3,262
26.	26241	16.0	19.0 (-3.00)#26	32.0 (-16.0)#3,438
27.	25419	17.0	19.0 (-2.00)#27	32.0 (-15.0)#3,752
28.	25813	17.0	19.0 (-2.00)#28	32.0 (-15.0)#3,786
29.	26218	17.0	19.0 (-2.00)#29	32.0 (-15.0)#3,848
30.	26142	18.0	19.0 (-1.000)#30	32.0 (-14.0)#4,167
31.	26362	19.0	19.0 (=0.000)#31	32.0 (-13.0)#4,461
32.	26037	20.0	19.0 (+1.000)#32	32.0 (-12.0)#4,723
33.	26431	20.0	19.0 (+1.000)#33	32.0 (-12.0)#4,734
34.	26378	20.0	19.0 (+1.000)#34	32.0 (-12.0)#4,745
35.	26003	22.0	19.0 (+3.00)#35	32.0 (-10.00)#5,196
36.	25428	22.0	19.0 (+3.00)#36	32.0 (-10.00)#5,308
37.	25306	22.0	19.0 (+3.00)#37	32.0 (-10.00)#5,363
38.	25315	22.0	19.0 (+3.00)#38	32.0 (-10.00)#5,393
39.	25670	22.0	19.0 (+3.00)#39	32.0 (-10.00)#5,395
40.	26261	22.0	19.0 (+3.00)#40	32.0 (-10.00)#5,402
41.	25253	22.0	19.0 (+3.00)#41	32.0 (-10.00)#5,416
42.	26354	24.0	19.0 (+5.00)#42	32.0 (-8.00)#5,925
43.	26288	24.0	19.0 (+5.00)#43	32.0 (-8.00)#5,993
44.	25508	25.0	19.0 (+6.00)#44	32.0 (-7.00)#6,264
45.	26571	25.0	19.0 (+6.00)#45	32.0 (-7.00)#6,357
46.	25420	26.0	19.0 (+7.00)#46	32.0 (-6.00)#6,615
47.	25130	26.0	19.0 (+7.00)#47	32.0 (-6.00)#6,635
48.	26062	27.0	19.0 (+8.00)#48	32.0 (-5.00)#6,832
49.	26456	27.0	19.0 (+8.00)#49	32.0 (-5.00)#6,953
50.	26408	27.0	19.0 (+8.00)#50	32.0 (-5.00)#6,957
51.	26554	28.0	19.0 (+9.00)#51	32.0 (-4.00)#7,046
52.	25309	28.0	19.0 (+9.00)#52	32.0 (-4.00)#7,184
53.	25387	28.0	19.0 (+9.00)#53	32.0 (-4.00)#7,223
54.	26505	29.0	19.0 (+10.00)#54	32.0 (-3.00)#7,339
55.	25704	29.0	19.0 (+10.00)#55	32.0 (-3.00)#7,456
56.	25560	29.0	19.0 (+10.00)#56	32.0 (-3.00)#7,494
57.	25570	29.0	19.0 (+10.00)#57	32.0 (-3.00)#7,512
58.	25411	30.0	19.0 (+11.0)#58	32.0 (-2.00)#7,741
59.	26452	30.0	19.0 (+11.0)#59	32.0 (-2.00)#7,758
60.	26416	31.0	19.0 (+12.0)#60	32.0 (-1.000)#8,054
61.	25314	32.0	19.0 (+13.0)#61	32.0 (=0.000)#8,304
62.	26040	32.0	19.0 (+13.0)#62	32.0 (=0.000)#8,390
63.	26385	33.0	19.0 (+14.0)#63	32.0 (+1.000)#8,653
64.	26330	34.0	19.0 (+15.0)#64	32.0 (+2.00)#8,871
65.	26060	34.0	19.0 (+15.0)#65	32.0 (+2.00)#8,966
66.	25801	36.0	19.0 (+17.0)#66	32.0 (+4.00)#9,318
67.	26525	36.0	19.0 (+17.0)#67	32.0 (+4.00)#9,407
68.	25403	37.0	19.0 (+18.0)#68	32.0 (+5.00)#9,616
69.	26269	37.0	19.0 (+18.0)#69	32.0 (+5.00)#9,703
70.	26175	38.0	19.0 (+19.0)#70	32.0 (+6.00)#9,897
71.	26508	40.0	19.0 (+21.0)#71	32.0 (+8.00)#10,160
72.	25832	40.0	19.0 (+21.0)#72	32.0 (+8.00)#10,291
73.	25033	40.0	19.0 (+21.0)#73	32.0 (+8.00)#10,323
74.	26807	41.0	19.0 (+22.0)#74	32.0 (+9.00)#10,541
75.	25917	41.0	19.0 (+22.0)#75	32.0 (+9.00)#10,558
76.	26101	43.0	19.0 (+24.0)#76	32.0 (+11.0)#10,831
77.	26047	43.0	19.0 (+24.0)#77	32.0 (+11.0)#10,920
78.	26041	44.0	19.0 (+25.0)#78	32.0 (+12.0)#11,097
79.	25311	44.0	19.0 (+25.0)#79	32.0 (+12.0)#11,115
80.	26105	45.0	19.0 (+26.0)#80	32.0 (+13.0)#11,286
81.	25414	46.0	19.0 (+27.0)#81	32.0 (+14.0)#11,460
82.	26150	46.0	19.0 (+27.0)#82	32.0 (+14.0)#11,502
83.	25071	47.0	19.0 (+28.0)#83	32.0 (+15.0)#11,622
84.	25053	50.0	19.0 (+31.0)#84	32.0 (+18.0)#12,142
85.	26710	52.0	19.0 (+33.0)#85	32.0 (+20.0)#12,424
86.	25312	53.0	19.0 (+34.0)#86	32.0 (+21.0)#12,517
87.	26253	53.0	19.0 (+34.0)#87	32.0 (+21.0)#12,543
88.	26753	55.0	19.0 (+36.0)#88	32.0 (+23.0)#12,786
89.	25413	56.0	19.0 (+37.0)#89	32.0 (+24.0)#12,887
90.	25443	57.0	19.0 (+38.0)#90	32.0 (+25.0)#13,001
91.	25825	57.0	19.0 (+38.0)#91	32.0 (+25.0)#13,019
92.	24920	57.0	19.0 (+38.0)#92	32.0 (+25.0)#13,054
93.	26651	65.0	19.0 (+46.0)#93	32.0 (+33.0)#13,783
94.	26582	65.0	19.0 (+46.0)#94	32.0 (+33.0)#13,805
95.	25168	67.0	19.0 (+48.0)#95	32.0 (+35.0)#13,986
96.	25313	69.0	19.0 (+50.0)#96	32.0 (+37.0)#14,120
97.	25703	69.0	19.0 (+50.0)#97	32.0 (+37.0)#14,134
98.	25045	71.0	19.0 (+52.0)#98	32.0 (+39.0)#14,262
99.	26147	73.0	19.0 (+54.0)#99	32.0 (+41.0)#14,409
100.	26426	80.0	19.0 (+61.0)#100	32.0 (+48.0)#14,762

2 3 4

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in West Virginia?

Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in West Virginia are:

3.0

3.0

4.0

5.0

7.0

7.0

8.0

9.0

9.0

#10

25504

10.0

What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in West Virginia?

26301 has the Fewest Births per 1,000 Women Over the Age of 35 in West Virginia with 3.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the State of West Virginia?

Number of Births per 1,000 Women Over the Age of 35 in West Virginia is 19.0.

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.