	Zip Code	Births / 1,000 Women	vs State	vs National
1.	47805	1.0	25.0(-24.0)#1	32.0(-31.0)#19
2.	46241	2.0	25.0(-23.0)#2	32.0(-30.0)#42
3.	46234	2.0	25.0(-23.0)#3	32.0(-30.0)#50
4.	46992	3.0	25.0(-22.0)#4	32.0(-29.0)#147
5.	46405	3.0	25.0(-22.0)#5	32.0(-29.0)#166
6.	47842	3.0	25.0(-22.0)#6	32.0(-29.0)#174
7.	46319	4.0	25.0(-21.0)#7	32.0(-28.0)#279
8.	46250	4.0	25.0(-21.0)#8	32.0(-28.0)#283
9.	47807	4.0	25.0(-21.0)#9	32.0(-28.0)#304
10.	47670	4.0	25.0(-21.0)#10	32.0(-28.0)#316
11.	46347	4.0	25.0(-21.0)#11	32.0(-28.0)#353
12.	46524	4.0	25.0(-21.0)#12	32.0(-28.0)#376
13.	46539	4.0	25.0(-21.0)#13	32.0(-28.0)#379
14.	46809	5.0	25.0(-20.0)#14	32.0(-27.0)#506
15.	46501	5.0	25.0(-20.0)#15	32.0(-27.0)#549
16.	47841	5.0	25.0(-20.0)#16	32.0(-27.0)#564
17.	46214	6.0	25.0(-19.0)#17	32.0(-26.0)#633
18.	47172	6.0	25.0(-19.0)#18	32.0(-26.0)#646
19.	46356	6.0	25.0(-19.0)#19	32.0(-26.0)#654
20.	46373	6.0	25.0(-19.0)#20	32.0(-26.0)#662
21.	46303	6.0	25.0(-19.0)#21	32.0(-26.0)#664
22.	46391	6.0	25.0(-19.0)#22	32.0(-26.0)#713
23.	47637	6.0	25.0(-19.0)#23	32.0(-26.0)#772
24.	46368	7.0	25.0(-18.0)#24	32.0(-25.0)#788
25.	46516	7.0	25.0(-18.0)#25	32.0(-25.0)#802
26.	47362	7.0	25.0(-18.0)#26	32.0(-25.0)#807
27.	47725	7.0	25.0(-18.0)#27	32.0(-25.0)#845
28.	46016	7.0	25.0(-18.0)#28	32.0(-25.0)#846
29.	46064	7.0	25.0(-18.0)#29	32.0(-25.0)#855
30.	47112	7.0	25.0(-18.0)#30	32.0(-25.0)#858
31.	47804	7.0	25.0(-18.0)#31	32.0(-25.0)#896
32.	46121	7.0	25.0(-18.0)#32	32.0(-25.0)#944
33.	46126	7.0	25.0(-18.0)#33	32.0(-25.0)#952
34.	47164	7.0	25.0(-18.0)#34	32.0(-25.0)#955
35.	47355	7.0	25.0(-18.0)#35	32.0(-25.0)#967
36.	47920	7.0	25.0(-18.0)#36	32.0(-25.0)#978
37.	47232	7.0	25.0(-18.0)#37	32.0(-25.0)#983
38.	46131	8.0	25.0(-17.0)#38	32.0(-24.0)#1,032
39.	46637	8.0	25.0(-17.0)#39	32.0(-24.0)#1,107
40.	46055	8.0	25.0(-17.0)#40	32.0(-24.0)#1,130
41.	46225	8.0	25.0(-17.0)#41	32.0(-24.0)#1,211
42.	46001	9.0	25.0(-16.0)#42	32.0(-23.0)#1,419
43.	46723	9.0	25.0(-16.0)#43	32.0(-23.0)#1,444
44.	47118	9.0	25.0(-16.0)#44	32.0(-23.0)#1,479
45.	47613	9.0	25.0(-16.0)#45	32.0(-23.0)#1,502
46.	46917	9.0	25.0(-16.0)#46	32.0(-23.0)#1,519
47.	47469	9.0	25.0(-16.0)#47	32.0(-23.0)#1,520
48.	47201	10.0	25.0(-15.0)#48	32.0(-22.0)#1,556
49.	46514	10.0	25.0(-15.0)#49	32.0(-22.0)#1,565
50.	46815	10.0	25.0(-15.0)#50	32.0(-22.0)#1,609
51.	46259	10.0	25.0(-15.0)#51	32.0(-22.0)#1,664
52.	46772	10.0	25.0(-15.0)#52	32.0(-22.0)#1,765
53.	46342	11.0	25.0(-14.0)#53	32.0(-21.0)#1,853
54.	47421	11.0	25.0(-14.0)#54	32.0(-21.0)#1,870
55.	46725	11.0	25.0(-14.0)#55	32.0(-21.0)#1,885
56.	46036	11.0	25.0(-14.0)#56	32.0(-21.0)#1,959
57.	47872	11.0	25.0(-14.0)#57	32.0(-21.0)#1,986
58.	47041	11.0	25.0(-14.0)#58	32.0(-21.0)#2,016
59.	46120	11.0	25.0(-14.0)#59	32.0(-21.0)#2,021
60.	47660	11.0	25.0(-14.0)#60	32.0(-21.0)#2,035
61.	47944	11.0	25.0(-14.0)#61	32.0(-21.0)#2,052
62.	47140	11.0	25.0(-14.0)#62	32.0(-21.0)#2,078
63.	47342	11.0	25.0(-14.0)#63	32.0(-21.0)#2,082
64.	46056	11.0	25.0(-14.0)#64	32.0(-21.0)#2,085
65.	47995	11.0	25.0(-14.0)#65	32.0(-21.0)#2,092
66.	47619	11.0	25.0(-14.0)#66	32.0(-21.0)#2,094
67.	46532	11.0	25.0(-14.0)#67	32.0(-21.0)#2,100
68.	47909	12.0	25.0(-13.0)#68	32.0(-20.0)#2,127
69.	46140	12.0	25.0(-13.0)#69	32.0(-20.0)#2,131
70.	46220	12.0	25.0(-13.0)#70	32.0(-20.0)#2,141
71.	46203	12.0	25.0(-13.0)#71	32.0(-20.0)#2,143
72.	47933	12.0	25.0(-13.0)#72	32.0(-20.0)#2,178
73.	46528	12.0	25.0(-13.0)#73	32.0(-20.0)#2,184
74.	46312	12.0	25.0(-13.0)#74	32.0(-20.0)#2,186
75.	46733	12.0	25.0(-13.0)#75	32.0(-20.0)#2,224
76.	46013	12.0	25.0(-13.0)#76	32.0(-20.0)#2,236
77.	46550	12.0	25.0(-13.0)#77	32.0(-20.0)#2,272
78.	47885	12.0	25.0(-13.0)#78	32.0(-20.0)#2,296
79.	47520	12.0	25.0(-13.0)#79	32.0(-20.0)#2,358
80.	47345	12.0	25.0(-13.0)#80	32.0(-20.0)#2,388
81.	47403	13.0	25.0(-12.0)#81	32.0(-19.0)#2,440
82.	46201	13.0	25.0(-12.0)#82	32.0(-19.0)#2,447
83.	47240	13.0	25.0(-12.0)#83	32.0(-19.0)#2,496
84.	46324	13.0	25.0(-12.0)#84	32.0(-19.0)#2,499
85.	46774	13.0	25.0(-12.0)#85	32.0(-19.0)#2,528
86.	46714	13.0	25.0(-12.0)#86	32.0(-19.0)#2,537
87.	46571	13.0	25.0(-12.0)#87	32.0(-19.0)#2,600
88.	46017	13.0	25.0(-12.0)#88	32.0(-19.0)#2,603
89.	46070	13.0	25.0(-12.0)#89	32.0(-19.0)#2,663
90.	46526	14.0	25.0(-11.0)#90	32.0(-18.0)#2,744
91.	47712	14.0	25.0(-11.0)#91	32.0(-18.0)#2,779
92.	46808	14.0	25.0(-11.0)#92	32.0(-18.0)#2,800
93.	47904	14.0	25.0(-11.0)#93	32.0(-18.0)#2,824
94.	46320	14.0	25.0(-11.0)#94	32.0(-18.0)#2,847
95.	47601	14.0	25.0(-11.0)#95	32.0(-18.0)#2,848
96.	47119	14.0	25.0(-11.0)#96	32.0(-18.0)#2,866
97.	47553	14.0	25.0(-11.0)#97	32.0(-18.0)#2,895
98.	46764	14.0	25.0(-11.0)#98	32.0(-18.0)#2,991
99.	46060	15.0	25.0(-10.00)#99	32.0(-17.0)#3,025
100.	46360	15.0	25.0(-10.00)#100	32.0(-17.0)#3,032

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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 Indiana?

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

1.0

2.0

2.0

3.0

3.0

3.0

4.0

4.0

4.0

#10

47670

4.0

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

47805 has the Fewest Births per 1,000 Women Over the Age of 35 in Indiana with 1.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Indiana is 25.0.

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.