	Zip Code	Births / 1,000 Women	vs State	vs National
1.	35677	2.0	52.0(-50.0)#1	53.0(-51.0)#40
2.	35214	3.0	52.0(-49.0)#2	53.0(-50.0)#43
3.	35127	3.0	52.0(-49.0)#3	53.0(-50.0)#47
4.	35552	3.0	52.0(-49.0)#4	53.0(-50.0)#83
5.	36612	4.0	52.0(-48.0)#5	53.0(-49.0)#105
6.	36542	5.0	52.0(-47.0)#6	53.0(-48.0)#140
7.	35452	5.0	52.0(-47.0)#7	53.0(-48.0)#161
8.	35951	6.0	52.0(-46.0)#8	53.0(-47.0)#210
9.	36748	7.0	52.0(-45.0)#9	53.0(-46.0)#317
10.	36317	7.0	52.0(-45.0)#10	53.0(-46.0)#349
11.	35045	8.0	52.0(-44.0)#11	53.0(-45.0)#366
12.	36576	8.0	52.0(-44.0)#12	53.0(-45.0)#388
13.	35754	9.0	52.0(-43.0)#13	53.0(-44.0)#486
14.	36750	9.0	52.0(-43.0)#14	53.0(-44.0)#520
15.	35581	10.0	52.0(-42.0)#15	53.0(-43.0)#612
16.	35981	10.0	52.0(-42.0)#16	53.0(-43.0)#654
17.	36567	11.0	52.0(-41.0)#17	53.0(-42.0)#715
18.	35114	12.0	52.0(-40.0)#18	53.0(-41.0)#865
19.	36925	12.0	52.0(-40.0)#19	53.0(-41.0)#908
20.	35633	13.0	52.0(-39.0)#20	53.0(-40.0)#981
21.	36025	14.0	52.0(-38.0)#21	53.0(-39.0)#1,166
22.	36726	14.0	52.0(-38.0)#22	53.0(-39.0)#1,184
23.	35188	14.0	52.0(-38.0)#23	53.0(-39.0)#1,207
24.	35585	14.0	52.0(-38.0)#24	53.0(-39.0)#1,223
25.	35544	14.0	52.0(-38.0)#25	53.0(-39.0)#1,256
26.	36572	15.0	52.0(-37.0)#26	53.0(-38.0)#1,332
27.	36251	15.0	52.0(-37.0)#27	53.0(-38.0)#1,349
28.	35083	15.0	52.0(-37.0)#28	53.0(-38.0)#1,364
29.	35130	15.0	52.0(-37.0)#29	53.0(-38.0)#1,374
30.	36376	15.0	52.0(-37.0)#30	53.0(-38.0)#1,403
31.	36740	15.0	52.0(-37.0)#31	53.0(-38.0)#1,436
32.	36264	16.0	52.0(-36.0)#32	53.0(-37.0)#1,520
33.	35905	16.0	52.0(-36.0)#33	53.0(-37.0)#1,528
34.	35648	16.0	52.0(-36.0)#34	53.0(-37.0)#1,566
35.	36353	16.0	52.0(-36.0)#35	53.0(-37.0)#1,593
36.	36046	16.0	52.0(-36.0)#36	53.0(-37.0)#1,608
37.	36441	17.0	52.0(-35.0)#37	53.0(-36.0)#1,739
38.	35987	17.0	52.0(-35.0)#38	53.0(-36.0)#1,756
39.	35744	17.0	52.0(-35.0)#39	53.0(-36.0)#1,763
40.	35962	18.0	52.0(-34.0)#40	53.0(-35.0)#1,866
41.	35476	18.0	52.0(-34.0)#41	53.0(-35.0)#1,867
42.	36279	18.0	52.0(-34.0)#42	53.0(-35.0)#1,919
43.	36035	18.0	52.0(-34.0)#43	53.0(-35.0)#1,945
44.	36832	19.0	52.0(-33.0)#44	53.0(-34.0)#2,007
45.	35620	19.0	52.0(-33.0)#45	53.0(-34.0)#2,048
46.	35228	19.0	52.0(-33.0)#46	53.0(-34.0)#2,059
47.	35085	19.0	52.0(-33.0)#47	53.0(-34.0)#2,061
48.	35646	19.0	52.0(-33.0)#48	53.0(-34.0)#2,101
49.	35570	20.0	52.0(-32.0)#49	53.0(-33.0)#2,246
50.	36732	20.0	52.0(-32.0)#50	53.0(-33.0)#2,263
51.	35578	20.0	52.0(-32.0)#51	53.0(-33.0)#2,286
52.	35582	20.0	52.0(-32.0)#52	53.0(-33.0)#2,295
53.	35006	20.0	52.0(-32.0)#53	53.0(-33.0)#2,315
54.	35461	20.0	52.0(-32.0)#54	53.0(-33.0)#2,344
55.	36769	20.0	52.0(-32.0)#55	53.0(-33.0)#2,346
56.	35979	20.0	52.0(-32.0)#56	53.0(-33.0)#2,398
57.	36314	20.0	52.0(-32.0)#57	53.0(-33.0)#2,407
58.	35640	21.0	52.0(-31.0)#58	53.0(-32.0)#2,442
59.	35773	21.0	52.0(-31.0)#59	53.0(-32.0)#2,478
60.	35205	22.0	52.0(-30.0)#60	53.0(-31.0)#2,692
61.	35503	22.0	52.0(-30.0)#61	53.0(-31.0)#2,725
62.	35204	22.0	52.0(-30.0)#62	53.0(-31.0)#2,730
63.	36322	22.0	52.0(-30.0)#63	53.0(-31.0)#2,734
64.	35470	22.0	52.0(-30.0)#64	53.0(-31.0)#2,764
65.	36451	22.0	52.0(-30.0)#65	53.0(-31.0)#2,774
66.	36320	22.0	52.0(-30.0)#66	53.0(-31.0)#2,786
67.	35480	22.0	52.0(-30.0)#67	53.0(-31.0)#2,811
68.	35046	23.0	52.0(-29.0)#68	53.0(-30.0)#3,026
69.	35456	23.0	52.0(-29.0)#69	53.0(-30.0)#3,035
70.	36351	23.0	52.0(-29.0)#70	53.0(-30.0)#3,050
71.	35988	23.0	52.0(-29.0)#71	53.0(-30.0)#3,081
72.	36532	24.0	52.0(-28.0)#72	53.0(-29.0)#3,154
73.	36693	24.0	52.0(-28.0)#73	53.0(-29.0)#3,192
74.	36206	24.0	52.0(-28.0)#74	53.0(-29.0)#3,223
75.	36861	24.0	52.0(-28.0)#75	53.0(-29.0)#3,301
76.	35111	25.0	52.0(-27.0)#76	53.0(-28.0)#3,458
77.	36037	25.0	52.0(-27.0)#77	53.0(-28.0)#3,489
78.	36544	25.0	52.0(-27.0)#78	53.0(-28.0)#3,492
79.	35148	25.0	52.0(-27.0)#79	53.0(-28.0)#3,590
80.	36316	25.0	52.0(-27.0)#80	53.0(-28.0)#3,600
81.	35004	26.0	52.0(-26.0)#81	53.0(-27.0)#3,753
82.	35466	26.0	52.0(-26.0)#82	53.0(-27.0)#3,788
83.	35553	26.0	52.0(-26.0)#83	53.0(-27.0)#3,797
84.	36273	26.0	52.0(-26.0)#84	53.0(-27.0)#3,815
85.	36562	26.0	52.0(-26.0)#85	53.0(-27.0)#3,866
86.	36048	26.0	52.0(-26.0)#86	53.0(-27.0)#3,872
87.	36020	26.0	52.0(-26.0)#87	53.0(-27.0)#3,877
88.	36502	27.0	52.0(-25.0)#88	53.0(-26.0)#3,992
89.	36756	27.0	52.0(-25.0)#89	53.0(-26.0)#4,048
90.	35550	27.0	52.0(-25.0)#90	53.0(-26.0)#4,056
91.	36453	27.0	52.0(-25.0)#91	53.0(-26.0)#4,102
92.	35211	28.0	52.0(-24.0)#92	53.0(-25.0)#4,248
93.	35475	28.0	52.0(-24.0)#93	53.0(-25.0)#4,267
94.	36277	28.0	52.0(-24.0)#94	53.0(-25.0)#4,327
95.	35073	28.0	52.0(-24.0)#95	53.0(-25.0)#4,360
96.	36318	28.0	52.0(-24.0)#96	53.0(-25.0)#4,398
97.	35763	29.0	52.0(-23.0)#97	53.0(-24.0)#4,517
98.	35243	29.0	52.0(-23.0)#98	53.0(-24.0)#4,520
99.	36081	29.0	52.0(-23.0)#99	53.0(-24.0)#4,529
100.	36079	29.0	52.0(-23.0)#100	53.0(-24.0)#4,563

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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 Alabama?

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

2.0

3.0

3.0

3.0

4.0

5.0

5.0

6.0

7.0

#10

36317

7.0

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

35677 has the Fewest Births per 1,000 Women Below Poverty Level in Alabama with 2.0.

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

Number of Births per 1,000 Women Below Poverty Level in Alabama is 52.0.

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.