	Zip Code	Births / 1,000 Women	vs State	vs National
1.	31757	1.0	30.0(-29.0)#1	32.0(-31.0)#23
2.	30710	1.0	30.0(-29.0)#2	32.0(-31.0)#32
3.	31204	3.0	30.0(-27.0)#3	32.0(-29.0)#119
4.	30248	3.0	30.0(-27.0)#4	32.0(-29.0)#120
5.	30655	3.0	30.0(-27.0)#5	32.0(-29.0)#128
6.	30013	3.0	30.0(-27.0)#6	32.0(-29.0)#130
7.	31093	3.0	30.0(-27.0)#7	32.0(-29.0)#131
8.	31216	3.0	30.0(-27.0)#8	32.0(-29.0)#145
9.	31634	3.0	30.0(-27.0)#9	32.0(-29.0)#198
10.	30629	3.0	30.0(-27.0)#10	32.0(-29.0)#199
11.	30705	4.0	30.0(-26.0)#11	32.0(-28.0)#231
12.	30308	4.0	30.0(-26.0)#12	32.0(-28.0)#256
13.	30817	4.0	30.0(-26.0)#13	32.0(-28.0)#333
14.	30906	5.0	30.0(-25.0)#14	32.0(-27.0)#389
15.	31906	5.0	30.0(-25.0)#15	32.0(-27.0)#444
16.	31632	5.0	30.0(-25.0)#16	32.0(-27.0)#475
17.	30054	5.0	30.0(-25.0)#17	32.0(-27.0)#484
18.	31415	5.0	30.0(-25.0)#18	32.0(-27.0)#485
19.	31027	5.0	30.0(-25.0)#19	32.0(-27.0)#491
20.	30415	5.0	30.0(-25.0)#20	32.0(-27.0)#527
21.	31021	6.0	30.0(-24.0)#21	32.0(-26.0)#618
22.	31030	6.0	30.0(-24.0)#22	32.0(-26.0)#661
23.	30436	6.0	30.0(-24.0)#23	32.0(-26.0)#702
24.	31036	6.0	30.0(-24.0)#24	32.0(-26.0)#706
25.	30557	6.0	30.0(-24.0)#25	32.0(-26.0)#742
26.	30624	6.0	30.0(-24.0)#26	32.0(-26.0)#753
27.	31019	6.0	30.0(-24.0)#27	32.0(-26.0)#761
28.	30263	7.0	30.0(-23.0)#28	32.0(-25.0)#777
29.	30680	7.0	30.0(-23.0)#29	32.0(-25.0)#780
30.	30078	7.0	30.0(-23.0)#30	32.0(-25.0)#784
31.	30240	7.0	30.0(-23.0)#31	32.0(-25.0)#803
32.	31005	7.0	30.0(-23.0)#32	32.0(-25.0)#831
33.	31023	7.0	30.0(-23.0)#33	32.0(-25.0)#872
34.	30535	7.0	30.0(-23.0)#34	32.0(-25.0)#913
35.	30736	8.0	30.0(-22.0)#35	32.0(-24.0)#1,012
36.	30339	8.0	30.0(-22.0)#36	32.0(-24.0)#1,036
37.	31601	8.0	30.0(-22.0)#37	32.0(-24.0)#1,046
38.	30179	8.0	30.0(-22.0)#38	32.0(-24.0)#1,100
39.	31316	8.0	30.0(-22.0)#39	32.0(-24.0)#1,139
40.	30303	8.0	30.0(-22.0)#40	32.0(-24.0)#1,199
41.	30750	8.0	30.0(-22.0)#41	32.0(-24.0)#1,223
42.	31778	8.0	30.0(-22.0)#42	32.0(-24.0)#1,250
43.	31070	8.0	30.0(-22.0)#43	32.0(-24.0)#1,277
44.	30102	9.0	30.0(-21.0)#44	32.0(-23.0)#1,288
45.	30117	9.0	30.0(-21.0)#45	32.0(-23.0)#1,297
46.	31707	9.0	30.0(-21.0)#46	32.0(-23.0)#1,332
47.	31069	9.0	30.0(-21.0)#47	32.0(-23.0)#1,346
48.	30523	9.0	30.0(-21.0)#48	32.0(-23.0)#1,396
49.	30531	9.0	30.0(-21.0)#49	32.0(-23.0)#1,404
50.	30752	9.0	30.0(-21.0)#50	32.0(-23.0)#1,430
51.	30805	9.0	30.0(-21.0)#51	32.0(-23.0)#1,504
52.	31313	10.0	30.0(-20.0)#52	32.0(-22.0)#1,563
53.	30741	10.0	30.0(-20.0)#53	32.0(-22.0)#1,604
54.	30646	10.0	30.0(-20.0)#54	32.0(-22.0)#1,712
55.	30139	10.0	30.0(-20.0)#55	32.0(-22.0)#1,745
56.	30567	10.0	30.0(-20.0)#56	32.0(-22.0)#1,746
57.	31773	10.0	30.0(-20.0)#57	32.0(-22.0)#1,752
58.	30669	10.0	30.0(-20.0)#58	32.0(-22.0)#1,773
59.	31558	11.0	30.0(-19.0)#59	32.0(-21.0)#1,892
60.	31211	11.0	30.0(-19.0)#60	32.0(-21.0)#1,931
61.	30642	11.0	30.0(-19.0)#61	32.0(-21.0)#1,932
62.	39819	11.0	30.0(-19.0)#62	32.0(-21.0)#1,952
63.	30553	11.0	30.0(-19.0)#63	32.0(-21.0)#1,984
64.	31305	11.0	30.0(-19.0)#64	32.0(-21.0)#2,032
65.	30224	12.0	30.0(-18.0)#65	32.0(-20.0)#2,170
66.	30310	12.0	30.0(-18.0)#66	32.0(-20.0)#2,189
67.	31008	12.0	30.0(-18.0)#67	32.0(-20.0)#2,210
68.	30153	12.0	30.0(-18.0)#68	32.0(-20.0)#2,231
69.	39834	12.0	30.0(-18.0)#69	32.0(-20.0)#2,377
70.	30294	13.0	30.0(-17.0)#70	32.0(-19.0)#2,417
71.	30223	13.0	30.0(-17.0)#71	32.0(-19.0)#2,433
72.	30012	13.0	30.0(-17.0)#72	32.0(-19.0)#2,442
73.	30141	13.0	30.0(-17.0)#73	32.0(-19.0)#2,475
74.	39828	13.0	30.0(-17.0)#74	32.0(-19.0)#2,543
75.	31535	13.0	30.0(-17.0)#75	32.0(-19.0)#2,557
76.	30558	13.0	30.0(-17.0)#76	32.0(-19.0)#2,613
77.	30331	14.0	30.0(-16.0)#77	32.0(-18.0)#2,697
78.	30157	14.0	30.0(-16.0)#78	32.0(-18.0)#2,704
79.	30032	14.0	30.0(-16.0)#79	32.0(-18.0)#2,715
80.	30342	14.0	30.0(-16.0)#80	32.0(-18.0)#2,745
81.	30549	14.0	30.0(-16.0)#81	32.0(-18.0)#2,759
82.	31548	14.0	30.0(-16.0)#82	32.0(-18.0)#2,784
83.	31520	14.0	30.0(-16.0)#83	32.0(-18.0)#2,791
84.	31533	14.0	30.0(-16.0)#84	32.0(-18.0)#2,816
85.	31701	14.0	30.0(-16.0)#85	32.0(-18.0)#2,820
86.	31793	14.0	30.0(-16.0)#86	32.0(-18.0)#2,888
87.	30565	14.0	30.0(-16.0)#87	32.0(-18.0)#2,932
88.	31088	15.0	30.0(-15.0)#88	32.0(-17.0)#3,015
89.	30252	15.0	30.0(-15.0)#89	32.0(-17.0)#3,024
90.	31750	15.0	30.0(-15.0)#90	32.0(-17.0)#3,126
91.	30474	15.0	30.0(-15.0)#91	32.0(-17.0)#3,133
92.	31545	15.0	30.0(-15.0)#92	32.0(-17.0)#3,143
93.	31643	15.0	30.0(-15.0)#93	32.0(-17.0)#3,178
94.	31064	15.0	30.0(-15.0)#94	32.0(-17.0)#3,180
95.	39845	15.0	30.0(-15.0)#95	32.0(-17.0)#3,199
96.	31744	15.0	30.0(-15.0)#96	32.0(-17.0)#3,252
97.	30721	16.0	30.0(-14.0)#97	32.0(-16.0)#3,303
98.	30458	16.0	30.0(-14.0)#98	32.0(-16.0)#3,308
99.	31792	16.0	30.0(-14.0)#99	32.0(-16.0)#3,393
100.	30011	16.0	30.0(-14.0)#100	32.0(-16.0)#3,402

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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 Georgia?

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

1.0

1.0

3.0

3.0

3.0

3.0

3.0

3.0

3.0

#10

30629

3.0

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

31757 has the Fewest Births per 1,000 Women Over the Age of 35 in Georgia with 1.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Georgia is 30.0.

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.