	Zip Code	Births / 1,000 Women	vs State	vs National
1.	47524	361.0	25.0(+336)#1	32.0(+329)#161
2.	46031	299.0	25.0(+274)#2	32.0(+267)#229
3.	46759	257.0	25.0(+232)#3	32.0(+225)#298
4.	47550	250.0	25.0(+225)#4	32.0(+218)#312
5.	46732	194.0	25.0(+169)#5	32.0(+162)#505
6.	47639	177.0	25.0(+152)#6	32.0(+145)#594
7.	46788	172.0	25.0(+147)#7	32.0(+140)#636
8.	47859	160.0	25.0(+135)#8	32.0(+128)#722
9.	47223	152.0	25.0(+127)#9	32.0(+120)#800
10.	47339	151.0	25.0(+126)#10	32.0(+119)#807
11.	46050	146.0	25.0(+121)#11	32.0(+114)#845
12.	47562	142.0	25.0(+117)#12	32.0(+110)#884
13.	47346	135.0	25.0(+110)#13	32.0(+103)#953
14.	46799	125.0	25.0(+100.0)#14	32.0(+93.0)#1,100
15.	47955	122.0	25.0(+97.0)#15	32.0(+90.0)#1,139
16.	46346	116.0	25.0(+91.0)#16	32.0(+84.0)#1,235
17.	47952	115.0	25.0(+90.0)#17	32.0(+83.0)#1,244
18.	47513	113.0	25.0(+88.0)#18	32.0(+81.0)#1,280
19.	46531	111.0	25.0(+86.0)#19	32.0(+79.0)#1,309
20.	46035	110.0	25.0(+85.0)#20	32.0(+78.0)#1,334
21.	47272	104.0	25.0(+79.0)#21	32.0(+72.0)#1,451
22.	47459	102.0	25.0(+77.0)#22	32.0(+70.0)#1,494
23.	46991	99.0	25.0(+74.0)#23	32.0(+67.0)#1,578
24.	46911	99.0	25.0(+74.0)#24	32.0(+67.0)#1,579
25.	47273	94.0	25.0(+69.0)#25	32.0(+62.0)#1,721
26.	46301	94.0	25.0(+69.0)#26	32.0(+62.0)#1,728
27.	46349	93.0	25.0(+68.0)#27	32.0(+61.0)#1,742
28.	46562	92.0	25.0(+67.0)#28	32.0(+60.0)#1,769
29.	46773	92.0	25.0(+67.0)#29	32.0(+60.0)#1,776
30.	46374	92.0	25.0(+67.0)#30	32.0(+60.0)#1,789
31.	46616	89.0	25.0(+64.0)#31	32.0(+57.0)#1,872
32.	46507	88.0	25.0(+63.0)#32	32.0(+56.0)#1,899
33.	46747	88.0	25.0(+63.0)#33	32.0(+56.0)#1,913
34.	47024	87.0	25.0(+62.0)#34	32.0(+55.0)#1,948
35.	46068	87.0	25.0(+62.0)#35	32.0(+55.0)#1,949
36.	47012	86.0	25.0(+61.0)#36	32.0(+54.0)#1,977
37.	47330	86.0	25.0(+61.0)#37	32.0(+54.0)#1,983
38.	46409	85.0	25.0(+60.0)#38	32.0(+53.0)#2,018
39.	46741	85.0	25.0(+60.0)#39	32.0(+53.0)#2,025
40.	47260	85.0	25.0(+60.0)#40	32.0(+53.0)#2,032
41.	47981	85.0	25.0(+60.0)#41	32.0(+53.0)#2,040
42.	46755	82.0	25.0(+57.0)#42	32.0(+50.0)#2,134
43.	46555	80.0	25.0(+55.0)#43	32.0(+48.0)#2,243
44.	47917	79.0	25.0(+54.0)#44	32.0(+47.0)#2,311
45.	47043	78.0	25.0(+53.0)#45	32.0(+46.0)#2,332
46.	47382	77.0	25.0(+52.0)#46	32.0(+45.0)#2,409
47.	47424	76.0	25.0(+51.0)#47	32.0(+44.0)#2,434
48.	46390	76.0	25.0(+51.0)#48	32.0(+44.0)#2,446
49.	47921	75.0	25.0(+50.0)#49	32.0(+43.0)#2,514
50.	47357	73.0	25.0(+48.0)#50	32.0(+41.0)#2,654
51.	47929	71.0	25.0(+46.0)#51	32.0(+39.0)#2,776
52.	47106	68.0	25.0(+43.0)#52	32.0(+36.0)#2,964
53.	47471	68.0	25.0(+43.0)#53	32.0(+36.0)#2,969
54.	46923	67.0	25.0(+42.0)#54	32.0(+35.0)#3,045
55.	47137	67.0	25.0(+42.0)#55	32.0(+35.0)#3,068
56.	46231	66.0	25.0(+41.0)#56	32.0(+34.0)#3,124
57.	47959	66.0	25.0(+41.0)#57	32.0(+34.0)#3,152
58.	46987	66.0	25.0(+41.0)#58	32.0(+34.0)#3,162
59.	47408	64.0	25.0(+39.0)#59	32.0(+32.0)#3,297
60.	46601	64.0	25.0(+39.0)#60	32.0(+32.0)#3,321
61.	46168	63.0	25.0(+38.0)#61	32.0(+31.0)#3,353
62.	47532	63.0	25.0(+38.0)#62	32.0(+31.0)#3,410
63.	46392	62.0	25.0(+37.0)#63	32.0(+30.0)#3,498
64.	47356	62.0	25.0(+37.0)#64	32.0(+30.0)#3,510
65.	46619	61.0	25.0(+36.0)#65	32.0(+29.0)#3,579
66.	46182	61.0	25.0(+36.0)#66	32.0(+29.0)#3,624
67.	47969	61.0	25.0(+36.0)#67	32.0(+29.0)#3,636
68.	46218	60.0	25.0(+35.0)#68	32.0(+28.0)#3,658
69.	46910	60.0	25.0(+35.0)#69	32.0(+28.0)#3,703
70.	46186	60.0	25.0(+35.0)#70	32.0(+28.0)#3,716
71.	46902	59.0	25.0(+34.0)#71	32.0(+27.0)#3,737
72.	46740	59.0	25.0(+34.0)#72	32.0(+27.0)#3,801
73.	46410	58.0	25.0(+33.0)#73	32.0(+26.0)#3,851
74.	46077	58.0	25.0(+33.0)#74	32.0(+26.0)#3,853
75.	46540	58.0	25.0(+33.0)#75	32.0(+26.0)#3,890
76.	47018	58.0	25.0(+33.0)#76	32.0(+26.0)#3,916
77.	47115	58.0	25.0(+33.0)#77	32.0(+26.0)#3,930
78.	47922	57.0	25.0(+32.0)#78	32.0(+25.0)#4,043
79.	46341	56.0	25.0(+31.0)#79	32.0(+24.0)#4,130
80.	46635	55.0	25.0(+30.0)#80	32.0(+23.0)#4,276
81.	46979	55.0	25.0(+30.0)#81	32.0(+23.0)#4,285
82.	47246	55.0	25.0(+30.0)#82	32.0(+23.0)#4,290
83.	46143	54.0	25.0(+29.0)#83	32.0(+22.0)#4,315
84.	46385	54.0	25.0(+29.0)#84	32.0(+22.0)#4,327
85.	47586	54.0	25.0(+29.0)#85	32.0(+22.0)#4,370
86.	47394	54.0	25.0(+29.0)#86	32.0(+22.0)#4,381
87.	46761	53.0	25.0(+28.0)#87	32.0(+21.0)#4,503
88.	46322	52.0	25.0(+27.0)#88	32.0(+20.0)#4,609
89.	47243	52.0	25.0(+27.0)#89	32.0(+20.0)#4,649
90.	46792	52.0	25.0(+27.0)#90	32.0(+20.0)#4,665
91.	46530	51.0	25.0(+26.0)#91	32.0(+19.0)#4,725
92.	46106	51.0	25.0(+26.0)#92	32.0(+19.0)#4,769
93.	47327	51.0	25.0(+26.0)#93	32.0(+19.0)#4,786
94.	47951	51.0	25.0(+26.0)#94	32.0(+19.0)#4,798
95.	46705	50.0	25.0(+25.0)#95	32.0(+18.0)#4,964
96.	46062	49.0	25.0(+24.0)#96	32.0(+17.0)#5,022
97.	47591	49.0	25.0(+24.0)#97	32.0(+17.0)#5,055
98.	46052	49.0	25.0(+24.0)#98	32.0(+17.0)#5,060
99.	47060	49.0	25.0(+24.0)#99	32.0(+17.0)#5,106
100.	46542	49.0	25.0(+24.0)#100	32.0(+17.0)#5,114

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Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Indiana?

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

361.0

299.0

257.0

250.0

194.0

177.0

172.0

160.0

152.0

#10

47339

151.0

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

47524 has the Most Births per 1,000 Women Over the Age of 35 in Indiana with 361.0.

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.