	Zip Code	Births / 1,000 Women	vs State	vs National
1.	24015	2.0	32.0(-30.0)#1	32.0(-30.0)#66
2.	23890	2.0	32.0(-30.0)#2	32.0(-30.0)#104
3.	23927	3.0	32.0(-29.0)#3	32.0(-29.0)#204
4.	23701	4.0	32.0(-28.0)#4	32.0(-28.0)#248
5.	24013	4.0	32.0(-28.0)#5	32.0(-28.0)#332
6.	22851	4.0	32.0(-28.0)#6	32.0(-28.0)#344
7.	24066	4.0	32.0(-28.0)#7	32.0(-28.0)#352
8.	22620	4.0	32.0(-28.0)#8	32.0(-28.0)#377
9.	24153	5.0	32.0(-27.0)#9	32.0(-27.0)#397
10.	22701	5.0	32.0(-27.0)#10	32.0(-27.0)#400
11.	23518	5.0	32.0(-27.0)#11	32.0(-27.0)#410
12.	23294	5.0	32.0(-27.0)#12	32.0(-27.0)#448
13.	22727	5.0	32.0(-27.0)#13	32.0(-27.0)#523
14.	22841	5.0	32.0(-27.0)#14	32.0(-27.0)#554
15.	24012	6.0	32.0(-26.0)#15	32.0(-26.0)#609
16.	24151	6.0	32.0(-26.0)#16	32.0(-26.0)#656
17.	23230	6.0	32.0(-26.0)#17	32.0(-26.0)#724
18.	24065	6.0	32.0(-26.0)#18	32.0(-26.0)#733
19.	23950	6.0	32.0(-26.0)#19	32.0(-26.0)#755
20.	23410	6.0	32.0(-26.0)#20	32.0(-26.0)#763
21.	22485	7.0	32.0(-25.0)#21	32.0(-25.0)#816
22.	20186	7.0	32.0(-25.0)#22	32.0(-25.0)#869
23.	23223	8.0	32.0(-24.0)#23	32.0(-24.0)#1,001
24.	23803	8.0	32.0(-24.0)#24	32.0(-24.0)#1,018
25.	22980	8.0	32.0(-24.0)#25	32.0(-24.0)#1,041
26.	24590	8.0	32.0(-24.0)#26	32.0(-24.0)#1,186
27.	22842	8.0	32.0(-24.0)#27	32.0(-24.0)#1,207
28.	24556	8.0	32.0(-24.0)#28	32.0(-24.0)#1,254
29.	23602	9.0	32.0(-23.0)#29	32.0(-23.0)#1,289
30.	22508	9.0	32.0(-23.0)#30	32.0(-23.0)#1,387
31.	24219	9.0	32.0(-23.0)#31	32.0(-23.0)#1,413
32.	24651	9.0	32.0(-23.0)#32	32.0(-23.0)#1,453
33.	23310	9.0	32.0(-23.0)#33	32.0(-23.0)#1,460
34.	23112	10.0	32.0(-22.0)#34	32.0(-22.0)#1,547
35.	24179	10.0	32.0(-22.0)#35	32.0(-22.0)#1,645
36.	24343	10.0	32.0(-22.0)#36	32.0(-22.0)#1,711
37.	23030	10.0	32.0(-22.0)#37	32.0(-22.0)#1,750
38.	23322	11.0	32.0(-21.0)#38	32.0(-21.0)#1,817
39.	24551	11.0	32.0(-21.0)#39	32.0(-21.0)#1,875
40.	22443	11.0	32.0(-21.0)#40	32.0(-21.0)#1,971
41.	24522	11.0	32.0(-21.0)#41	32.0(-21.0)#1,973
42.	20115	11.0	32.0(-21.0)#42	32.0(-21.0)#1,992
43.	24441	11.0	32.0(-21.0)#43	32.0(-21.0)#2,012
44.	22936	11.0	32.0(-21.0)#44	32.0(-21.0)#2,013
45.	23924	11.0	32.0(-21.0)#45	32.0(-21.0)#2,023
46.	22033	12.0	32.0(-20.0)#46	32.0(-20.0)#2,137
47.	23321	12.0	32.0(-20.0)#47	32.0(-20.0)#2,138
48.	23235	12.0	32.0(-20.0)#48	32.0(-20.0)#2,154
49.	24541	12.0	32.0(-20.0)#49	32.0(-20.0)#2,177
50.	24019	12.0	32.0(-20.0)#50	32.0(-20.0)#2,179
51.	20187	12.0	32.0(-20.0)#51	32.0(-20.0)#2,225
52.	24426	12.0	32.0(-20.0)#52	32.0(-20.0)#2,260
53.	23503	13.0	32.0(-19.0)#53	32.0(-19.0)#2,450
54.	23607	13.0	32.0(-19.0)#54	32.0(-19.0)#2,477
55.	23114	13.0	32.0(-19.0)#55	32.0(-19.0)#2,500
56.	24550	13.0	32.0(-19.0)#56	32.0(-19.0)#2,587
57.	24370	13.0	32.0(-19.0)#57	32.0(-19.0)#2,605
58.	22473	13.0	32.0(-19.0)#58	32.0(-19.0)#2,608
59.	22974	13.0	32.0(-19.0)#59	32.0(-19.0)#2,619
60.	24256	13.0	32.0(-19.0)#60	32.0(-19.0)#2,646
61.	24148	14.0	32.0(-18.0)#61	32.0(-18.0)#2,898
62.	24609	14.0	32.0(-18.0)#62	32.0(-18.0)#2,912
63.	24101	14.0	32.0(-18.0)#63	32.0(-18.0)#2,915
64.	24340	14.0	32.0(-18.0)#64	32.0(-18.0)#2,918
65.	24558	14.0	32.0(-18.0)#65	32.0(-18.0)#2,919
66.	24090	14.0	32.0(-18.0)#66	32.0(-18.0)#2,929
67.	23086	14.0	32.0(-18.0)#67	32.0(-18.0)#2,949
68.	23111	15.0	32.0(-17.0)#68	32.0(-17.0)#3,047
69.	23229	15.0	32.0(-17.0)#69	32.0(-17.0)#3,054
70.	22401	15.0	32.0(-17.0)#70	32.0(-17.0)#3,078
71.	23805	15.0	32.0(-17.0)#71	32.0(-17.0)#3,106
72.	24450	15.0	32.0(-17.0)#72	32.0(-17.0)#3,130
73.	20141	15.0	32.0(-17.0)#73	32.0(-17.0)#3,196
74.	22849	15.0	32.0(-17.0)#74	32.0(-17.0)#3,223
75.	24538	15.0	32.0(-17.0)#75	32.0(-17.0)#3,229
76.	23060	16.0	32.0(-16.0)#76	32.0(-16.0)#3,333
77.	22202	16.0	32.0(-16.0)#77	32.0(-16.0)#3,366
78.	23430	16.0	32.0(-16.0)#78	32.0(-16.0)#3,412
79.	23707	16.0	32.0(-16.0)#79	32.0(-16.0)#3,437
80.	23801	16.0	32.0(-16.0)#80	32.0(-16.0)#3,480
81.	23224	17.0	32.0(-15.0)#81	32.0(-15.0)#3,625
82.	22630	17.0	32.0(-15.0)#82	32.0(-15.0)#3,637
83.	24141	17.0	32.0(-15.0)#83	32.0(-15.0)#3,688
84.	20166	17.0	32.0(-15.0)#84	32.0(-15.0)#3,743
85.	24630	17.0	32.0(-15.0)#85	32.0(-15.0)#3,796
86.	24260	17.0	32.0(-15.0)#86	32.0(-15.0)#3,811
87.	22304	18.0	32.0(-14.0)#87	32.0(-14.0)#3,925
88.	23059	18.0	32.0(-14.0)#88	32.0(-14.0)#3,932
89.	22801	18.0	32.0(-14.0)#89	32.0(-14.0)#3,938
90.	24018	18.0	32.0(-14.0)#90	32.0(-14.0)#3,939
91.	24112	18.0	32.0(-14.0)#91	32.0(-14.0)#3,971
92.	23693	19.0	32.0(-13.0)#92	32.0(-13.0)#4,310
93.	22911	19.0	32.0(-13.0)#93	32.0(-13.0)#4,338
94.	23704	19.0	32.0(-13.0)#94	32.0(-13.0)#4,347
95.	23117	19.0	32.0(-13.0)#95	32.0(-13.0)#4,386
96.	20181	19.0	32.0(-13.0)#96	32.0(-13.0)#4,390
97.	22580	19.0	32.0(-13.0)#97	32.0(-13.0)#4,425
98.	23669	20.0	32.0(-12.0)#98	32.0(-12.0)#4,545
99.	24401	20.0	32.0(-12.0)#99	32.0(-12.0)#4,556
100.	24540	20.0	32.0(-12.0)#100	32.0(-12.0)#4,581

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Common Questions

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

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

2.0

2.0

3.0

4.0

4.0

4.0

4.0

4.0

5.0

#10

22701

5.0

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

24015 has the Fewest Births per 1,000 Women Over the Age of 35 in Virginia with 2.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Virginia is 32.0.

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.