	Zip Code	Births / 1,000 Women	vs State	vs National
1.	46524	2.0	56.0(-54.0)#1	53.0(-51.0)#33
2.	47598	3.0	56.0(-53.0)#2	53.0(-50.0)#69
3.	46030	4.0	56.0(-52.0)#3	53.0(-49.0)#115
4.	47232	4.0	56.0(-52.0)#4	53.0(-49.0)#121
5.	47848	4.0	56.0(-52.0)#5	53.0(-49.0)#129
6.	47036	5.0	56.0(-51.0)#6	53.0(-48.0)#191
7.	46510	6.0	56.0(-50.0)#7	53.0(-47.0)#239
8.	46933	7.0	56.0(-49.0)#8	53.0(-46.0)#292
9.	47359	7.0	56.0(-49.0)#9	53.0(-46.0)#307
10.	46941	7.0	56.0(-49.0)#10	53.0(-46.0)#346
11.	47114	8.0	56.0(-48.0)#11	53.0(-45.0)#453
12.	47523	9.0	56.0(-47.0)#12	53.0(-44.0)#508
13.	47032	9.0	56.0(-47.0)#13	53.0(-44.0)#509
14.	47529	9.0	56.0(-47.0)#14	53.0(-44.0)#544
15.	47926	9.0	56.0(-47.0)#15	53.0(-44.0)#548
16.	47111	10.0	56.0(-46.0)#16	53.0(-43.0)#591
17.	46511	10.0	56.0(-46.0)#17	53.0(-43.0)#624
18.	46371	10.0	56.0(-46.0)#18	53.0(-43.0)#627
19.	46056	10.0	56.0(-46.0)#19	53.0(-43.0)#645
20.	47974	10.0	56.0(-46.0)#20	53.0(-43.0)#668
21.	47465	10.0	56.0(-46.0)#21	53.0(-43.0)#696
22.	47355	11.0	56.0(-45.0)#22	53.0(-42.0)#764
23.	47383	11.0	56.0(-45.0)#23	53.0(-42.0)#767
24.	46044	11.0	56.0(-45.0)#24	53.0(-42.0)#772
25.	46765	12.0	56.0(-44.0)#25	53.0(-41.0)#881
26.	47520	12.0	56.0(-44.0)#26	53.0(-41.0)#910
27.	47874	12.0	56.0(-44.0)#27	53.0(-41.0)#914
28.	47464	12.0	56.0(-44.0)#28	53.0(-41.0)#974
29.	46710	13.0	56.0(-43.0)#29	53.0(-40.0)#1,041
30.	47971	13.0	56.0(-43.0)#30	53.0(-40.0)#1,073
31.	47968	13.0	56.0(-43.0)#31	53.0(-40.0)#1,089
32.	47353	14.0	56.0(-42.0)#32	53.0(-39.0)#1,177
33.	46974	14.0	56.0(-42.0)#33	53.0(-39.0)#1,224
34.	46776	14.0	56.0(-42.0)#34	53.0(-39.0)#1,235
35.	46180	14.0	56.0(-42.0)#35	53.0(-39.0)#1,262
36.	47975	14.0	56.0(-42.0)#36	53.0(-39.0)#1,265
37.	47172	15.0	56.0(-41.0)#37	53.0(-38.0)#1,300
38.	46120	15.0	56.0(-41.0)#38	53.0(-38.0)#1,342
39.	46553	15.0	56.0(-41.0)#39	53.0(-38.0)#1,366
40.	47345	15.0	56.0(-41.0)#40	53.0(-38.0)#1,430
41.	46278	16.0	56.0(-40.0)#41	53.0(-37.0)#1,516
42.	47283	16.0	56.0(-40.0)#42	53.0(-37.0)#1,556
43.	47634	16.0	56.0(-40.0)#43	53.0(-37.0)#1,583
44.	46978	16.0	56.0(-40.0)#44	53.0(-37.0)#1,584
45.	46250	17.0	56.0(-39.0)#45	53.0(-36.0)#1,665
46.	47601	17.0	56.0(-39.0)#46	53.0(-36.0)#1,679
47.	46613	17.0	56.0(-39.0)#47	53.0(-36.0)#1,685
48.	47001	17.0	56.0(-39.0)#48	53.0(-36.0)#1,692
49.	47165	17.0	56.0(-39.0)#49	53.0(-36.0)#1,706
50.	47868	17.0	56.0(-39.0)#50	53.0(-36.0)#1,752
51.	46216	17.0	56.0(-39.0)#51	53.0(-36.0)#1,761
52.	47967	17.0	56.0(-39.0)#52	53.0(-36.0)#1,796
53.	46321	18.0	56.0(-38.0)#53	53.0(-35.0)#1,824
54.	46040	18.0	56.0(-38.0)#54	53.0(-35.0)#1,843
55.	46777	18.0	56.0(-38.0)#55	53.0(-35.0)#1,883
56.	47031	18.0	56.0(-38.0)#56	53.0(-35.0)#1,889
57.	46115	18.0	56.0(-38.0)#57	53.0(-35.0)#1,953
58.	47408	19.0	56.0(-37.0)#58	53.0(-34.0)#2,022
59.	46167	19.0	56.0(-37.0)#59	53.0(-34.0)#2,072
60.	46071	19.0	56.0(-37.0)#60	53.0(-34.0)#2,115
61.	46951	19.0	56.0(-37.0)#61	53.0(-34.0)#2,129
62.	47940	19.0	56.0(-37.0)#62	53.0(-34.0)#2,150
63.	47862	19.0	56.0(-37.0)#63	53.0(-34.0)#2,153
64.	46204	20.0	56.0(-36.0)#64	53.0(-33.0)#2,249
65.	46058	20.0	56.0(-36.0)#65	53.0(-33.0)#2,335
66.	46048	20.0	56.0(-36.0)#66	53.0(-33.0)#2,337
67.	47351	20.0	56.0(-36.0)#67	53.0(-33.0)#2,409
68.	46064	21.0	56.0(-35.0)#68	53.0(-32.0)#2,467
69.	47102	21.0	56.0(-35.0)#69	53.0(-32.0)#2,516
70.	47588	21.0	56.0(-35.0)#70	53.0(-32.0)#2,626
71.	46259	22.0	56.0(-34.0)#71	53.0(-31.0)#2,705
72.	47119	22.0	56.0(-34.0)#72	53.0(-31.0)#2,714
73.	46552	22.0	56.0(-34.0)#73	53.0(-31.0)#2,747
74.	47136	22.0	56.0(-34.0)#74	53.0(-31.0)#2,769
75.	46702	22.0	56.0(-34.0)#75	53.0(-31.0)#2,805
76.	47615	22.0	56.0(-34.0)#76	53.0(-31.0)#2,822
77.	47382	22.0	56.0(-34.0)#77	53.0(-31.0)#2,899
78.	46516	23.0	56.0(-33.0)#78	53.0(-30.0)#2,922
79.	47712	23.0	56.0(-33.0)#79	53.0(-30.0)#2,935
80.	46202	23.0	56.0(-33.0)#80	53.0(-30.0)#2,943
81.	47834	23.0	56.0(-33.0)#81	53.0(-30.0)#2,948
82.	47124	23.0	56.0(-33.0)#82	53.0(-30.0)#3,023
83.	46347	23.0	56.0(-33.0)#83	53.0(-30.0)#3,029
84.	46573	23.0	56.0(-33.0)#84	53.0(-30.0)#3,047
85.	47527	23.0	56.0(-33.0)#85	53.0(-30.0)#3,073
86.	47386	23.0	56.0(-33.0)#86	53.0(-30.0)#3,100
87.	47941	23.0	56.0(-33.0)#87	53.0(-30.0)#3,105
88.	46234	24.0	56.0(-32.0)#88	53.0(-29.0)#3,171
89.	47638	24.0	56.0(-32.0)#89	53.0(-29.0)#3,282
90.	47161	24.0	56.0(-32.0)#90	53.0(-29.0)#3,287
91.	47342	24.0	56.0(-32.0)#91	53.0(-29.0)#3,312
92.	47957	24.0	56.0(-32.0)#92	53.0(-29.0)#3,320
93.	47584	24.0	56.0(-32.0)#93	53.0(-29.0)#3,391
94.	46970	25.0	56.0(-31.0)#94	53.0(-28.0)#3,443
95.	46975	25.0	56.0(-31.0)#95	53.0(-28.0)#3,485
96.	47993	25.0	56.0(-31.0)#96	53.0(-28.0)#3,570
97.	46938	25.0	56.0(-31.0)#97	53.0(-28.0)#3,592
98.	46926	25.0	56.0(-31.0)#98	53.0(-28.0)#3,619
99.	47404	26.0	56.0(-30.0)#99	53.0(-27.0)#3,706
100.	46501	26.0	56.0(-30.0)#100	53.0(-27.0)#3,806

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Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Indiana?

Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Indiana are:

2.0

3.0

4.0

4.0

4.0

5.0

6.0

7.0

7.0

#10

46941

7.0

What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Indiana?

46524 has the Fewest Births per 1,000 Women Below Poverty Level in Indiana with 2.0.

What is the Number of Births per 1,000 Women Below Poverty Level in the State of Indiana?

Number of Births per 1,000 Women Below Poverty Level in Indiana is 56.0.

What is the Number of Births per 1,000 Women Below Poverty Level in the United States?

Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.