	Zip Code	Births / 1,000 Women	vs State	vs National
1.	49266	3.0	53.0(-50.0)#1	53.0(-50.0)#63
2.	49284	6.0	53.0(-47.0)#2	53.0(-47.0)#240
3.	49816	6.0	53.0(-47.0)#3	53.0(-47.0)#272
4.	49765	7.0	53.0(-46.0)#4	53.0(-46.0)#299
5.	48226	8.0	53.0(-45.0)#5	53.0(-45.0)#376
6.	48631	8.0	53.0(-45.0)#6	53.0(-45.0)#389
7.	49305	8.0	53.0(-45.0)#7	53.0(-45.0)#408
8.	48363	9.0	53.0(-44.0)#8	53.0(-44.0)#478
9.	49705	9.0	53.0(-44.0)#9	53.0(-44.0)#556
10.	48465	9.0	53.0(-44.0)#10	53.0(-44.0)#577
11.	48860	10.0	53.0(-43.0)#11	53.0(-43.0)#659
12.	49912	10.0	53.0(-43.0)#12	53.0(-43.0)#680
13.	48734	11.0	53.0(-42.0)#13	53.0(-42.0)#736
14.	49113	11.0	53.0(-42.0)#14	53.0(-42.0)#785
15.	48878	11.0	53.0(-42.0)#15	53.0(-42.0)#791
16.	49646	12.0	53.0(-41.0)#16	53.0(-41.0)#864
17.	49920	12.0	53.0(-41.0)#17	53.0(-41.0)#893
18.	49344	12.0	53.0(-41.0)#18	53.0(-41.0)#896
19.	48467	12.0	53.0(-41.0)#19	53.0(-41.0)#922
20.	49718	12.0	53.0(-41.0)#20	53.0(-41.0)#960
21.	48432	12.0	53.0(-41.0)#21	53.0(-41.0)#966
22.	49228	13.0	53.0(-40.0)#22	53.0(-40.0)#1,027
23.	49328	13.0	53.0(-40.0)#23	53.0(-40.0)#1,045
24.	48829	13.0	53.0(-40.0)#24	53.0(-40.0)#1,051
25.	48454	13.0	53.0(-40.0)#25	53.0(-40.0)#1,094
26.	49802	14.0	53.0(-39.0)#26	53.0(-39.0)#1,170
27.	49235	14.0	53.0(-39.0)#27	53.0(-39.0)#1,217
28.	49885	14.0	53.0(-39.0)#28	53.0(-39.0)#1,225
29.	49774	14.0	53.0(-39.0)#29	53.0(-39.0)#1,226
30.	48635	14.0	53.0(-39.0)#30	53.0(-39.0)#1,234
31.	48731	14.0	53.0(-39.0)#31	53.0(-39.0)#1,237
32.	49630	14.0	53.0(-39.0)#32	53.0(-39.0)#1,238
33.	48054	15.0	53.0(-38.0)#33	53.0(-38.0)#1,329
34.	48005	15.0	53.0(-38.0)#34	53.0(-38.0)#1,348
35.	48722	15.0	53.0(-38.0)#35	53.0(-38.0)#1,372
36.	49614	15.0	53.0(-38.0)#36	53.0(-38.0)#1,379
37.	49089	15.0	53.0(-38.0)#37	53.0(-38.0)#1,407
38.	49629	15.0	53.0(-38.0)#38	53.0(-38.0)#1,408
39.	48861	15.0	53.0(-38.0)#39	53.0(-38.0)#1,413
40.	48104	16.0	53.0(-37.0)#40	53.0(-37.0)#1,477
41.	49319	16.0	53.0(-37.0)#41	53.0(-37.0)#1,490
42.	48840	16.0	53.0(-37.0)#42	53.0(-37.0)#1,502
43.	49325	16.0	53.0(-37.0)#43	53.0(-37.0)#1,578
44.	48760	16.0	53.0(-37.0)#44	53.0(-37.0)#1,609
45.	48604	17.0	53.0(-36.0)#45	53.0(-36.0)#1,687
46.	48208	17.0	53.0(-36.0)#46	53.0(-36.0)#1,699
47.	49756	17.0	53.0(-36.0)#47	53.0(-36.0)#1,730
48.	48933	17.0	53.0(-36.0)#48	53.0(-36.0)#1,743
49.	48159	17.0	53.0(-36.0)#49	53.0(-36.0)#1,757
50.	49612	17.0	53.0(-36.0)#50	53.0(-36.0)#1,776
51.	48350	18.0	53.0(-35.0)#51	53.0(-35.0)#1,871
52.	48095	18.0	53.0(-35.0)#52	53.0(-35.0)#1,888
53.	48662	18.0	53.0(-35.0)#53	53.0(-35.0)#1,965
54.	48823	19.0	53.0(-34.0)#54	53.0(-34.0)#2,000
55.	49046	19.0	53.0(-34.0)#55	53.0(-34.0)#2,073
56.	49449	19.0	53.0(-34.0)#56	53.0(-34.0)#2,121
57.	49029	19.0	53.0(-34.0)#57	53.0(-34.0)#2,156
58.	49619	19.0	53.0(-34.0)#58	53.0(-34.0)#2,165
59.	48357	20.0	53.0(-33.0)#59	53.0(-33.0)#2,260
60.	49633	20.0	53.0(-33.0)#60	53.0(-33.0)#2,320
61.	49072	20.0	53.0(-33.0)#61	53.0(-33.0)#2,324
62.	48819	20.0	53.0(-33.0)#62	53.0(-33.0)#2,332
63.	49670	20.0	53.0(-33.0)#63	53.0(-33.0)#2,355
64.	48856	20.0	53.0(-33.0)#64	53.0(-33.0)#2,389
65.	49444	21.0	53.0(-32.0)#65	53.0(-32.0)#2,444
66.	49770	21.0	53.0(-32.0)#66	53.0(-32.0)#2,466
67.	49079	21.0	53.0(-32.0)#67	53.0(-32.0)#2,479
68.	49858	21.0	53.0(-32.0)#68	53.0(-32.0)#2,484
69.	49306	21.0	53.0(-32.0)#69	53.0(-32.0)#2,489
70.	48164	21.0	53.0(-32.0)#70	53.0(-32.0)#2,496
71.	49453	21.0	53.0(-32.0)#71	53.0(-32.0)#2,571
72.	49812	21.0	53.0(-32.0)#72	53.0(-32.0)#2,633
73.	48193	22.0	53.0(-31.0)#73	53.0(-31.0)#2,696
74.	48048	22.0	53.0(-31.0)#74	53.0(-31.0)#2,723
75.	48216	22.0	53.0(-31.0)#75	53.0(-31.0)#2,761
76.	49755	22.0	53.0(-31.0)#76	53.0(-31.0)#2,817
77.	49411	22.0	53.0(-31.0)#77	53.0(-31.0)#2,824
78.	49814	22.0	53.0(-31.0)#78	53.0(-31.0)#2,843
79.	49431	23.0	53.0(-30.0)#79	53.0(-30.0)#2,956
80.	48202	23.0	53.0(-30.0)#80	53.0(-30.0)#2,967
81.	48189	23.0	53.0(-30.0)#81	53.0(-30.0)#2,969
82.	49419	23.0	53.0(-30.0)#82	53.0(-30.0)#2,994
83.	49779	23.0	53.0(-30.0)#83	53.0(-30.0)#3,036
84.	49682	23.0	53.0(-30.0)#84	53.0(-30.0)#3,037
85.	48367	23.0	53.0(-30.0)#85	53.0(-30.0)#3,038
86.	49233	23.0	53.0(-30.0)#86	53.0(-30.0)#3,061
87.	49033	23.0	53.0(-30.0)#87	53.0(-30.0)#3,086
88.	48720	23.0	53.0(-30.0)#88	53.0(-30.0)#3,103
89.	48621	23.0	53.0(-30.0)#89	53.0(-30.0)#3,106
90.	49401	24.0	53.0(-29.0)#90	53.0(-29.0)#3,169
91.	49660	24.0	53.0(-29.0)#91	53.0(-29.0)#3,205
92.	49283	24.0	53.0(-29.0)#92	53.0(-29.0)#3,275
93.	49625	24.0	53.0(-29.0)#93	53.0(-29.0)#3,351
94.	49757	24.0	53.0(-29.0)#94	53.0(-29.0)#3,367
95.	49817	24.0	53.0(-29.0)#95	53.0(-29.0)#3,376
96.	48708	25.0	53.0(-28.0)#96	53.0(-28.0)#3,433
97.	49684	25.0	53.0(-28.0)#97	53.0(-28.0)#3,452
98.	48207	25.0	53.0(-28.0)#98	53.0(-28.0)#3,454
99.	48813	25.0	53.0(-28.0)#99	53.0(-28.0)#3,457
100.	48165	25.0	53.0(-28.0)#100	53.0(-28.0)#3,506

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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 Michigan?

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

3.0

6.0

6.0

7.0

8.0

8.0

8.0

9.0

9.0

#10

48465

9.0

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

49266 has the Fewest Births per 1,000 Women Below Poverty Level in Michigan with 3.0.

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

Number of Births per 1,000 Women Below Poverty Level in Michigan is 53.0.

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.