	Zip Code	Births / 1,000 Women	vs State	vs National
1.	79407	1.0	32.0(-31.0)#1	32.0(-31.0)#9
2.	78733	1.0	32.0(-31.0)#2	32.0(-31.0)#30
3.	79601	2.0	32.0(-30.0)#3	32.0(-30.0)#52
4.	75460	2.0	32.0(-30.0)#4	32.0(-30.0)#53
5.	77627	2.0	32.0(-30.0)#5	32.0(-30.0)#57
6.	78644	2.0	32.0(-30.0)#6	32.0(-30.0)#62
7.	75757	2.0	32.0(-30.0)#7	32.0(-30.0)#71
8.	75428	2.0	32.0(-30.0)#8	32.0(-30.0)#78
9.	76066	2.0	32.0(-30.0)#9	32.0(-30.0)#102
10.	76706	3.0	32.0(-29.0)#10	32.0(-29.0)#113
11.	77833	3.0	32.0(-29.0)#11	32.0(-29.0)#123
12.	75901	3.0	32.0(-29.0)#12	32.0(-29.0)#127
13.	79110	3.0	32.0(-29.0)#13	32.0(-29.0)#137
14.	75707	3.0	32.0(-29.0)#14	32.0(-29.0)#149
15.	77484	3.0	32.0(-29.0)#15	32.0(-29.0)#158
16.	78861	3.0	32.0(-29.0)#16	32.0(-29.0)#161
17.	76692	3.0	32.0(-29.0)#17	32.0(-29.0)#175
18.	78101	3.0	32.0(-29.0)#18	32.0(-29.0)#181
19.	76442	3.0	32.0(-29.0)#19	32.0(-29.0)#190
20.	77984	3.0	32.0(-29.0)#20	32.0(-29.0)#206
21.	79504	3.0	32.0(-29.0)#21	32.0(-29.0)#211
22.	76903	4.0	32.0(-28.0)#22	32.0(-28.0)#237
23.	76034	4.0	32.0(-28.0)#23	32.0(-28.0)#247
24.	75219	4.0	32.0(-28.0)#24	32.0(-28.0)#249
25.	76205	4.0	32.0(-28.0)#25	32.0(-28.0)#265
26.	76088	4.0	32.0(-28.0)#26	32.0(-28.0)#294
27.	79556	4.0	32.0(-28.0)#27	32.0(-28.0)#308
28.	75645	4.0	32.0(-28.0)#28	32.0(-28.0)#322
29.	75559	4.0	32.0(-28.0)#29	32.0(-28.0)#350
30.	79096	4.0	32.0(-28.0)#30	32.0(-28.0)#388
31.	78516	5.0	32.0(-27.0)#31	32.0(-27.0)#401
32.	77327	5.0	32.0(-27.0)#32	32.0(-27.0)#403
33.	79072	5.0	32.0(-27.0)#33	32.0(-27.0)#419
34.	78114	5.0	32.0(-27.0)#34	32.0(-27.0)#430
35.	79119	5.0	32.0(-27.0)#35	32.0(-27.0)#436
36.	75941	5.0	32.0(-27.0)#36	32.0(-27.0)#507
37.	78025	5.0	32.0(-27.0)#37	32.0(-27.0)#532
38.	76225	5.0	32.0(-27.0)#38	32.0(-27.0)#555
39.	75568	5.0	32.0(-27.0)#39	32.0(-27.0)#561
40.	78227	6.0	32.0(-26.0)#40	32.0(-26.0)#582
41.	77351	6.0	32.0(-26.0)#41	32.0(-26.0)#594
42.	75605	6.0	32.0(-26.0)#42	32.0(-26.0)#597
43.	76901	6.0	32.0(-26.0)#43	32.0(-26.0)#602
44.	75604	6.0	32.0(-26.0)#44	32.0(-26.0)#603
45.	76201	6.0	32.0(-26.0)#45	32.0(-26.0)#613
46.	79606	6.0	32.0(-26.0)#46	32.0(-26.0)#614
47.	75407	6.0	32.0(-26.0)#47	32.0(-26.0)#619
48.	78621	6.0	32.0(-26.0)#48	32.0(-26.0)#622
49.	78222	6.0	32.0(-26.0)#49	32.0(-26.0)#624
50.	78380	6.0	32.0(-26.0)#50	32.0(-26.0)#625
51.	78645	6.0	32.0(-26.0)#51	32.0(-26.0)#675
52.	75633	6.0	32.0(-26.0)#52	32.0(-26.0)#682
53.	76384	6.0	32.0(-26.0)#53	32.0(-26.0)#690
54.	79331	6.0	32.0(-26.0)#54	32.0(-26.0)#699
55.	78643	6.0	32.0(-26.0)#55	32.0(-26.0)#731
56.	75158	6.0	32.0(-26.0)#56	32.0(-26.0)#736
57.	77511	7.0	32.0(-25.0)#57	32.0(-25.0)#778
58.	77536	7.0	32.0(-25.0)#58	32.0(-25.0)#798
59.	77904	7.0	32.0(-25.0)#59	32.0(-25.0)#806
60.	76801	7.0	32.0(-25.0)#60	32.0(-25.0)#822
61.	76085	7.0	32.0(-25.0)#61	32.0(-25.0)#892
62.	77612	7.0	32.0(-25.0)#62	32.0(-25.0)#903
63.	79404	7.0	32.0(-25.0)#63	32.0(-25.0)#911
64.	75638	7.0	32.0(-25.0)#64	32.0(-25.0)#938
65.	75755	7.0	32.0(-25.0)#65	32.0(-25.0)#939
66.	78940	7.0	32.0(-25.0)#66	32.0(-25.0)#987
67.	78582	8.0	32.0(-24.0)#67	32.0(-24.0)#1,009
68.	78040	8.0	32.0(-24.0)#68	32.0(-24.0)#1,027
69.	77502	8.0	32.0(-24.0)#69	32.0(-24.0)#1,030
70.	76705	8.0	32.0(-24.0)#70	32.0(-24.0)#1,042
71.	75159	8.0	32.0(-24.0)#71	32.0(-24.0)#1,075
72.	78747	8.0	32.0(-24.0)#72	32.0(-24.0)#1,081
73.	75401	8.0	32.0(-24.0)#73	32.0(-24.0)#1,082
74.	79045	8.0	32.0(-24.0)#74	32.0(-24.0)#1,091
75.	77707	8.0	32.0(-24.0)#75	32.0(-24.0)#1,093
76.	77401	8.0	32.0(-24.0)#76	32.0(-24.0)#1,102
77.	75801	8.0	32.0(-24.0)#77	32.0(-24.0)#1,105
78.	77713	8.0	32.0(-24.0)#78	32.0(-24.0)#1,126
79.	76550	8.0	32.0(-24.0)#79	32.0(-24.0)#1,135
80.	75495	8.0	32.0(-24.0)#80	32.0(-24.0)#1,167
81.	78736	8.0	32.0(-24.0)#81	32.0(-24.0)#1,168
82.	78003	8.0	32.0(-24.0)#82	32.0(-24.0)#1,175
83.	79364	8.0	32.0(-24.0)#83	32.0(-24.0)#1,185
84.	78234	8.0	32.0(-24.0)#84	32.0(-24.0)#1,209
85.	75567	8.0	32.0(-24.0)#85	32.0(-24.0)#1,229
86.	77521	9.0	32.0(-23.0)#86	32.0(-23.0)#1,281
87.	78501	9.0	32.0(-23.0)#87	32.0(-23.0)#1,282
88.	79907	9.0	32.0(-23.0)#88	32.0(-23.0)#1,287
89.	75069	9.0	32.0(-23.0)#89	32.0(-23.0)#1,294
90.	79764	9.0	32.0(-23.0)#90	32.0(-23.0)#1,325
91.	77568	9.0	32.0(-23.0)#91	32.0(-23.0)#1,351
92.	79065	9.0	32.0(-23.0)#92	32.0(-23.0)#1,355
93.	75791	9.0	32.0(-23.0)#93	32.0(-23.0)#1,388
94.	77995	9.0	32.0(-23.0)#94	32.0(-23.0)#1,407
95.	79756	9.0	32.0(-23.0)#95	32.0(-23.0)#1,424
96.	76539	9.0	32.0(-23.0)#96	32.0(-23.0)#1,436
97.	75114	9.0	32.0(-23.0)#97	32.0(-23.0)#1,446
98.	76554	9.0	32.0(-23.0)#98	32.0(-23.0)#1,511
99.	76599	9.0	32.0(-23.0)#99	32.0(-23.0)#1,522
100.	78520	10.0	32.0(-22.0)#100	32.0(-22.0)#1,543

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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 Texas?

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

1.0

1.0

2.0

2.0

2.0

2.0

2.0

2.0

2.0

#10

76706

3.0

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

79407 has the Fewest Births per 1,000 Women Over the Age of 35 in Texas with 1.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Texas 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.