	Zip Code	Births / 1,000 Women	vs State	vs National
1.	50461	2.0	28.0(-26.0)#1	32.0(-30.0)#100
2.	51501	3.0	28.0(-25.0)#2	32.0(-29.0)#116
3.	52804	3.0	28.0(-25.0)#3	32.0(-29.0)#129
4.	50325	4.0	28.0(-24.0)#4	32.0(-28.0)#276
5.	52333	4.0	28.0(-24.0)#5	32.0(-28.0)#336
6.	51201	4.0	28.0(-24.0)#6	32.0(-28.0)#339
7.	52338	4.0	28.0(-24.0)#7	32.0(-28.0)#361
8.	52339	5.0	28.0(-23.0)#8	32.0(-27.0)#547
9.	50458	5.0	28.0(-23.0)#9	32.0(-27.0)#566
10.	52322	5.0	28.0(-23.0)#10	32.0(-27.0)#571
11.	50320	6.0	28.0(-22.0)#11	32.0(-26.0)#628
12.	52411	6.0	28.0(-22.0)#12	32.0(-26.0)#718
13.	52340	6.0	28.0(-22.0)#13	32.0(-26.0)#741
14.	52732	7.0	28.0(-21.0)#14	32.0(-25.0)#818
15.	50109	7.0	28.0(-21.0)#15	32.0(-25.0)#961
16.	51546	7.0	28.0(-21.0)#16	32.0(-25.0)#970
17.	50212	7.0	28.0(-21.0)#17	32.0(-25.0)#971
18.	52240	8.0	28.0(-20.0)#18	32.0(-24.0)#1,029
19.	51301	8.0	28.0(-20.0)#19	32.0(-24.0)#1,145
20.	51401	8.0	28.0(-20.0)#20	32.0(-24.0)#1,147
21.	50233	8.0	28.0(-20.0)#21	32.0(-24.0)#1,267
22.	50585	8.0	28.0(-20.0)#22	32.0(-24.0)#1,273
23.	50265	9.0	28.0(-19.0)#23	32.0(-23.0)#1,308
24.	52641	9.0	28.0(-19.0)#24	32.0(-23.0)#1,397
25.	52626	9.0	28.0(-19.0)#25	32.0(-23.0)#1,534
26.	51534	10.0	28.0(-18.0)#26	32.0(-22.0)#1,699
27.	51239	10.0	28.0(-18.0)#27	32.0(-22.0)#1,772
28.	50540	10.0	28.0(-18.0)#28	32.0(-22.0)#1,811
29.	50668	10.0	28.0(-18.0)#29	32.0(-22.0)#1,814
30.	50315	11.0	28.0(-17.0)#30	32.0(-21.0)#1,841
31.	52544	11.0	28.0(-17.0)#31	32.0(-21.0)#1,993
32.	51632	11.0	28.0(-17.0)#32	32.0(-21.0)#2,006
33.	52327	11.0	28.0(-17.0)#33	32.0(-21.0)#2,049
34.	50579	11.0	28.0(-17.0)#34	32.0(-21.0)#2,064
35.	50063	11.0	28.0(-17.0)#35	32.0(-21.0)#2,075
36.	51031	12.0	28.0(-16.0)#36	32.0(-20.0)#2,268
37.	50533	12.0	28.0(-16.0)#37	32.0(-20.0)#2,343
38.	52175	12.0	28.0(-16.0)#38	32.0(-20.0)#2,349
39.	52637	12.0	28.0(-16.0)#39	32.0(-20.0)#2,357
40.	52214	12.0	28.0(-16.0)#40	32.0(-20.0)#2,360
41.	50859	12.0	28.0(-16.0)#41	32.0(-20.0)#2,396
42.	52002	13.0	28.0(-15.0)#42	32.0(-19.0)#2,522
43.	50049	13.0	28.0(-15.0)#43	32.0(-19.0)#2,599
44.	51050	13.0	28.0(-15.0)#44	32.0(-19.0)#2,649
45.	52045	13.0	28.0(-15.0)#45	32.0(-19.0)#2,650
46.	50851	13.0	28.0(-15.0)#46	32.0(-19.0)#2,665
47.	52570	13.0	28.0(-15.0)#47	32.0(-19.0)#2,687
48.	52078	13.0	28.0(-15.0)#48	32.0(-19.0)#2,694
49.	50266	14.0	28.0(-14.0)#49	32.0(-18.0)#2,737
50.	50801	14.0	28.0(-14.0)#50	32.0(-18.0)#2,891
51.	52247	14.0	28.0(-14.0)#51	32.0(-18.0)#2,926
52.	52358	14.0	28.0(-14.0)#52	32.0(-18.0)#2,945
53.	51028	14.0	28.0(-14.0)#53	32.0(-18.0)#2,975
54.	51245	14.0	28.0(-14.0)#54	32.0(-18.0)#2,998
55.	52722	15.0	28.0(-13.0)#55	32.0(-17.0)#3,041
56.	52601	15.0	28.0(-13.0)#56	32.0(-17.0)#3,080
57.	52753	15.0	28.0(-13.0)#57	32.0(-17.0)#3,218
58.	50156	15.0	28.0(-13.0)#58	32.0(-17.0)#3,231
59.	52052	15.0	28.0(-13.0)#59	32.0(-17.0)#3,254
60.	52754	15.0	28.0(-13.0)#60	32.0(-17.0)#3,278
61.	52746	15.0	28.0(-13.0)#61	32.0(-17.0)#3,286
62.	50118	15.0	28.0(-13.0)#62	32.0(-17.0)#3,288
63.	51503	16.0	28.0(-12.0)#63	32.0(-16.0)#3,331
64.	50226	16.0	28.0(-12.0)#64	32.0(-16.0)#3,488
65.	50648	16.0	28.0(-12.0)#65	32.0(-16.0)#3,521
66.	52653	16.0	28.0(-12.0)#66	32.0(-16.0)#3,533
67.	52356	16.0	28.0(-12.0)#67	32.0(-16.0)#3,543
68.	50061	16.0	28.0(-12.0)#68	32.0(-16.0)#3,548
69.	51560	16.0	28.0(-12.0)#69	32.0(-16.0)#3,555
70.	51342	16.0	28.0(-12.0)#70	32.0(-16.0)#3,570
71.	50501	17.0	28.0(-11.0)#71	32.0(-15.0)#3,660
72.	52803	17.0	28.0(-11.0)#72	32.0(-15.0)#3,693
73.	52627	17.0	28.0(-11.0)#73	32.0(-15.0)#3,748
74.	50644	17.0	28.0(-11.0)#74	32.0(-15.0)#3,777
75.	52172	17.0	28.0(-11.0)#75	32.0(-15.0)#3,797
76.	50248	17.0	28.0(-11.0)#76	32.0(-15.0)#3,828
77.	52320	17.0	28.0(-11.0)#77	32.0(-15.0)#3,889
78.	52165	17.0	28.0(-11.0)#78	32.0(-15.0)#3,894
79.	51365	17.0	28.0(-11.0)#79	32.0(-15.0)#3,902
80.	50021	18.0	28.0(-10.00)#80	32.0(-14.0)#3,981
81.	51103	18.0	28.0(-10.00)#81	32.0(-14.0)#4,041
82.	51537	18.0	28.0(-10.00)#82	32.0(-14.0)#4,113
83.	50250	18.0	28.0(-10.00)#83	32.0(-14.0)#4,164
84.	50670	18.0	28.0(-10.00)#84	32.0(-14.0)#4,165
85.	52625	18.0	28.0(-10.00)#85	32.0(-14.0)#4,172
86.	50833	18.0	28.0(-10.00)#86	32.0(-14.0)#4,174
87.	52315	18.0	28.0(-10.00)#87	32.0(-14.0)#4,192
88.	50529	18.0	28.0(-10.00)#88	32.0(-14.0)#4,203
89.	50014	19.0	28.0(-9.00)#89	32.0(-13.0)#4,273
90.	52802	19.0	28.0(-9.00)#90	32.0(-13.0)#4,394
91.	52353	19.0	28.0(-9.00)#91	32.0(-13.0)#4,397
92.	50511	19.0	28.0(-9.00)#92	32.0(-13.0)#4,410
93.	50563	19.0	28.0(-9.00)#93	32.0(-13.0)#4,465
94.	51436	19.0	28.0(-9.00)#94	32.0(-13.0)#4,499
95.	52761	20.0	28.0(-8.00)#95	32.0(-12.0)#4,585
96.	50701	20.0	28.0(-8.00)#96	32.0(-12.0)#4,587
97.	50312	20.0	28.0(-8.00)#97	32.0(-12.0)#4,662
98.	52041	20.0	28.0(-8.00)#98	32.0(-12.0)#4,789
99.	51240	20.0	28.0(-8.00)#99	32.0(-12.0)#4,793
100.	52572	20.0	28.0(-8.00)#100	32.0(-12.0)#4,806

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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 Iowa?

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

2.0

3.0

3.0

4.0

4.0

4.0

4.0

5.0

5.0

#10

52322

5.0

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

50461 has the Fewest Births per 1,000 Women Over the Age of 35 in Iowa with 2.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Iowa is 28.0.

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.