	Zip Code	Births / 1,000 Women	vs State	vs National
1.	35951	1.0	22.0(-21.0)#1	32.0(-31.0)#18
2.	35555	1.0	22.0(-21.0)#2	32.0(-31.0)#27
3.	35049	2.0	22.0(-20.0)#3	32.0(-30.0)#107
4.	35811	3.0	22.0(-19.0)#4	32.0(-29.0)#124
5.	36567	3.0	22.0(-19.0)#5	32.0(-29.0)#153
6.	36264	3.0	22.0(-19.0)#6	32.0(-29.0)#183
7.	36352	3.0	22.0(-19.0)#7	32.0(-29.0)#195
8.	36526	4.0	22.0(-18.0)#8	32.0(-28.0)#229
9.	36869	4.0	22.0(-18.0)#9	32.0(-28.0)#257
10.	35674	4.0	22.0(-18.0)#10	32.0(-28.0)#270
11.	35570	4.0	22.0(-18.0)#11	32.0(-28.0)#320
12.	36105	4.0	22.0(-18.0)#12	32.0(-28.0)#325
13.	35118	4.0	22.0(-18.0)#13	32.0(-28.0)#370
14.	36311	4.0	22.0(-18.0)#14	32.0(-28.0)#373
15.	35405	5.0	22.0(-17.0)#15	32.0(-27.0)#391
16.	35401	5.0	22.0(-17.0)#16	32.0(-27.0)#396
17.	36109	5.0	22.0(-17.0)#17	32.0(-27.0)#427
18.	35763	5.0	22.0(-17.0)#18	32.0(-27.0)#451
19.	35475	5.0	22.0(-17.0)#19	32.0(-27.0)#452
20.	35214	5.0	22.0(-17.0)#20	32.0(-27.0)#462
21.	35976	5.0	22.0(-17.0)#21	32.0(-27.0)#466
22.	35961	5.0	22.0(-17.0)#22	32.0(-27.0)#522
23.	35116	5.0	22.0(-17.0)#23	32.0(-27.0)#534
24.	35971	5.0	22.0(-17.0)#24	32.0(-27.0)#536
25.	35490	5.0	22.0(-17.0)#25	32.0(-27.0)#537
26.	35452	5.0	22.0(-17.0)#26	32.0(-27.0)#550
27.	35447	5.0	22.0(-17.0)#27	32.0(-27.0)#556
28.	36474	5.0	22.0(-17.0)#28	32.0(-27.0)#560
29.	36609	6.0	22.0(-16.0)#29	32.0(-26.0)#629
30.	35055	6.0	22.0(-16.0)#30	32.0(-26.0)#635
31.	36701	6.0	22.0(-16.0)#31	32.0(-26.0)#638
32.	36870	6.0	22.0(-16.0)#32	32.0(-26.0)#655
33.	36037	6.0	22.0(-16.0)#33	32.0(-26.0)#680
34.	36617	6.0	22.0(-16.0)#34	32.0(-26.0)#692
35.	35127	6.0	22.0(-16.0)#35	32.0(-26.0)#711
36.	36322	6.0	22.0(-16.0)#36	32.0(-26.0)#720
37.	36350	6.0	22.0(-16.0)#37	32.0(-26.0)#723
38.	35980	6.0	22.0(-16.0)#38	32.0(-26.0)#735
39.	36866	6.0	22.0(-16.0)#39	32.0(-26.0)#749
40.	36507	7.0	22.0(-15.0)#40	32.0(-25.0)#839
41.	35080	7.0	22.0(-15.0)#41	32.0(-25.0)#844
42.	35903	7.0	22.0(-15.0)#42	32.0(-25.0)#852
43.	36426	7.0	22.0(-15.0)#43	32.0(-25.0)#866
44.	36111	7.0	22.0(-15.0)#44	32.0(-25.0)#881
45.	35954	7.0	22.0(-15.0)#45	32.0(-25.0)#886
46.	36530	7.0	22.0(-15.0)#46	32.0(-25.0)#928
47.	35776	7.0	22.0(-15.0)#47	32.0(-25.0)#957
48.	35620	8.0	22.0(-14.0)#48	32.0(-24.0)#1,149
49.	35601	9.0	22.0(-13.0)#49	32.0(-23.0)#1,306
50.	35160	9.0	22.0(-13.0)#50	32.0(-23.0)#1,323
51.	35023	9.0	22.0(-13.0)#51	32.0(-23.0)#1,331
52.	35016	9.0	22.0(-13.0)#52	32.0(-23.0)#1,366
53.	36544	9.0	22.0(-13.0)#53	32.0(-23.0)#1,401
54.	36420	9.0	22.0(-13.0)#54	32.0(-23.0)#1,414
55.	35481	9.0	22.0(-13.0)#55	32.0(-23.0)#1,493
56.	36262	9.0	22.0(-13.0)#56	32.0(-23.0)#1,524
57.	36695	10.0	22.0(-12.0)#57	32.0(-22.0)#1,551
58.	36330	10.0	22.0(-12.0)#58	32.0(-22.0)#1,572
59.	36301	10.0	22.0(-12.0)#59	32.0(-22.0)#1,573
60.	35603	10.0	22.0(-12.0)#60	32.0(-22.0)#1,589
61.	35661	10.0	22.0(-12.0)#61	32.0(-22.0)#1,644
62.	35243	10.0	22.0(-12.0)#62	32.0(-22.0)#1,646
63.	36078	10.0	22.0(-12.0)#63	32.0(-22.0)#1,671
64.	35768	10.0	22.0(-12.0)#64	32.0(-22.0)#1,681
65.	36611	10.0	22.0(-12.0)#65	32.0(-22.0)#1,732
66.	36003	10.0	22.0(-12.0)#66	32.0(-22.0)#1,786
67.	35128	11.0	22.0(-11.0)#67	32.0(-21.0)#1,972
68.	36268	11.0	22.0(-11.0)#68	32.0(-21.0)#2,011
69.	35646	11.0	22.0(-11.0)#69	32.0(-21.0)#2,046
70.	35579	11.0	22.0(-11.0)#70	32.0(-21.0)#2,051
71.	35124	12.0	22.0(-10.00)#71	32.0(-20.0)#2,198
72.	35115	12.0	22.0(-10.00)#72	32.0(-20.0)#2,239
73.	36854	12.0	22.0(-10.00)#73	32.0(-20.0)#2,245
74.	35645	12.0	22.0(-10.00)#74	32.0(-20.0)#2,261
75.	35622	12.0	22.0(-10.00)#75	32.0(-20.0)#2,317
76.	35772	12.0	22.0(-10.00)#76	32.0(-20.0)#2,332
77.	35234	12.0	22.0(-10.00)#77	32.0(-20.0)#2,341
78.	35771	12.0	22.0(-10.00)#78	32.0(-20.0)#2,355
79.	35172	12.0	22.0(-10.00)#79	32.0(-20.0)#2,359
80.	36532	13.0	22.0(-9.00)#80	32.0(-19.0)#2,436
81.	35962	13.0	22.0(-9.00)#81	32.0(-19.0)#2,584
82.	36343	13.0	22.0(-9.00)#82	32.0(-19.0)#2,678
83.	35543	13.0	22.0(-9.00)#83	32.0(-19.0)#2,681
84.	36303	14.0	22.0(-8.00)#84	32.0(-18.0)#2,758
85.	36305	14.0	22.0(-8.00)#85	32.0(-18.0)#2,813
86.	35565	14.0	22.0(-8.00)#86	32.0(-18.0)#2,871
87.	35125	14.0	22.0(-8.00)#87	32.0(-18.0)#2,873
88.	36048	14.0	22.0(-8.00)#88	32.0(-18.0)#2,997
89.	36265	15.0	22.0(-7.00)#89	32.0(-17.0)#3,105
90.	35406	15.0	22.0(-7.00)#90	32.0(-17.0)#3,123
91.	35773	15.0	22.0(-7.00)#91	32.0(-17.0)#3,154
92.	35654	15.0	22.0(-7.00)#92	32.0(-17.0)#3,197
93.	35592	15.0	22.0(-7.00)#93	32.0(-17.0)#3,237
94.	36545	16.0	22.0(-6.00)#94	32.0(-16.0)#3,469
95.	35147	16.0	22.0(-6.00)#95	32.0(-16.0)#3,495
96.	36312	16.0	22.0(-6.00)#96	32.0(-16.0)#3,502
97.	36251	16.0	22.0(-6.00)#97	32.0(-16.0)#3,508
98.	35630	17.0	22.0(-5.00)#98	32.0(-15.0)#3,642
99.	35020	17.0	22.0(-5.00)#99	32.0(-15.0)#3,674
100.	35802	17.0	22.0(-5.00)#100	32.0(-15.0)#3,679

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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 Alabama?

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

1.0

1.0

2.0

3.0

3.0

3.0

3.0

4.0

4.0

#10

35674

4.0

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

35951 has the Fewest Births per 1,000 Women Over the Age of 35 in Alabama with 1.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Alabama is 22.0.

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.