	Zip Code	Births / 1,000 Women	vs State	vs National
1.	55981	2.0	58.0(-56.0)#1	53.0(-51.0)#25
2.	55710	3.0	58.0(-55.0)#2	53.0(-50.0)#80
3.	55395	4.0	58.0(-54.0)#3	53.0(-49.0)#120
4.	55339	4.0	58.0(-54.0)#4	53.0(-49.0)#134
5.	56425	6.0	58.0(-52.0)#5	53.0(-47.0)#217
6.	55771	7.0	58.0(-51.0)#6	53.0(-46.0)#329
7.	55955	8.0	58.0(-50.0)#7	53.0(-45.0)#404
8.	55047	8.0	58.0(-50.0)#8	53.0(-45.0)#409
9.	56576	9.0	58.0(-49.0)#9	53.0(-44.0)#560
10.	56683	9.0	58.0(-49.0)#10	53.0(-44.0)#574
11.	55030	10.0	58.0(-48.0)#11	53.0(-43.0)#664
12.	56443	10.0	58.0(-48.0)#12	53.0(-43.0)#665
13.	55726	10.0	58.0(-48.0)#13	53.0(-43.0)#676
14.	56157	10.0	58.0(-48.0)#14	53.0(-43.0)#682
15.	56023	10.0	58.0(-48.0)#15	53.0(-43.0)#692
16.	56684	10.0	58.0(-48.0)#16	53.0(-43.0)#697
17.	55073	11.0	58.0(-47.0)#17	53.0(-42.0)#759
18.	55705	12.0	58.0(-46.0)#18	53.0(-41.0)#904
19.	56218	12.0	58.0(-46.0)#19	53.0(-41.0)#968
20.	56043	12.0	58.0(-46.0)#20	53.0(-41.0)#972
21.	55414	13.0	58.0(-45.0)#21	53.0(-40.0)#977
22.	55403	13.0	58.0(-45.0)#22	53.0(-40.0)#986
23.	55012	13.0	58.0(-45.0)#23	53.0(-40.0)#1,071
24.	56713	13.0	58.0(-45.0)#24	53.0(-40.0)#1,100
25.	56051	13.0	58.0(-45.0)#25	53.0(-40.0)#1,108
26.	56760	13.0	58.0(-45.0)#26	53.0(-40.0)#1,121
27.	55397	14.0	58.0(-44.0)#27	53.0(-39.0)#1,202
28.	55775	14.0	58.0(-44.0)#28	53.0(-39.0)#1,241
29.	56271	14.0	58.0(-44.0)#29	53.0(-39.0)#1,243
30.	55957	14.0	58.0(-44.0)#30	53.0(-39.0)#1,263
31.	56363	14.0	58.0(-44.0)#31	53.0(-39.0)#1,282
32.	55077	15.0	58.0(-43.0)#32	53.0(-38.0)#1,312
33.	55709	15.0	58.0(-43.0)#33	53.0(-38.0)#1,361
34.	56450	15.0	58.0(-43.0)#34	53.0(-38.0)#1,443
35.	55935	15.0	58.0(-43.0)#35	53.0(-38.0)#1,449
36.	55805	16.0	58.0(-42.0)#36	53.0(-37.0)#1,508
37.	56511	16.0	58.0(-42.0)#37	53.0(-37.0)#1,589
38.	56332	16.0	58.0(-42.0)#38	53.0(-37.0)#1,597
39.	56516	16.0	58.0(-42.0)#39	53.0(-37.0)#1,645
40.	55751	17.0	58.0(-41.0)#40	53.0(-36.0)#1,779
41.	55703	17.0	58.0(-41.0)#41	53.0(-36.0)#1,792
42.	56578	17.0	58.0(-41.0)#42	53.0(-36.0)#1,802
43.	56151	17.0	58.0(-41.0)#43	53.0(-36.0)#1,803
44.	56710	17.0	58.0(-41.0)#44	53.0(-36.0)#1,807
45.	56590	17.0	58.0(-41.0)#45	53.0(-36.0)#1,810
46.	55127	18.0	58.0(-40.0)#46	53.0(-35.0)#1,836
47.	55910	18.0	58.0(-40.0)#47	53.0(-35.0)#1,968
48.	55757	18.0	58.0(-40.0)#48	53.0(-35.0)#1,983
49.	55764	18.0	58.0(-40.0)#49	53.0(-35.0)#1,990
50.	56594	18.0	58.0(-40.0)#50	53.0(-35.0)#1,991
51.	56089	18.0	58.0(-40.0)#51	53.0(-35.0)#1,995
52.	56377	19.0	58.0(-39.0)#52	53.0(-34.0)#2,025
53.	55409	19.0	58.0(-39.0)#53	53.0(-34.0)#2,049
54.	56185	19.0	58.0(-39.0)#54	53.0(-34.0)#2,186
55.	55933	19.0	58.0(-39.0)#55	53.0(-34.0)#2,192
56.	55384	20.0	58.0(-38.0)#56	53.0(-33.0)#2,347
57.	56540	20.0	58.0(-38.0)#57	53.0(-33.0)#2,348
58.	55314	20.0	58.0(-38.0)#58	53.0(-33.0)#2,381
59.	55315	21.0	58.0(-37.0)#59	53.0(-32.0)#2,517
60.	56521	21.0	58.0(-37.0)#60	53.0(-32.0)#2,635
61.	56748	21.0	58.0(-37.0)#61	53.0(-32.0)#2,643
62.	56734	21.0	58.0(-37.0)#62	53.0(-32.0)#2,644
63.	55982	21.0	58.0(-37.0)#63	53.0(-32.0)#2,646
64.	55408	22.0	58.0(-36.0)#64	53.0(-31.0)#2,668
65.	55436	22.0	58.0(-36.0)#65	53.0(-31.0)#2,707
66.	55614	22.0	58.0(-36.0)#66	53.0(-31.0)#2,797
67.	56628	22.0	58.0(-36.0)#67	53.0(-31.0)#2,826
68.	56223	22.0	58.0(-36.0)#68	53.0(-31.0)#2,829
69.	56050	22.0	58.0(-36.0)#69	53.0(-31.0)#2,832
70.	55724	22.0	58.0(-36.0)#70	53.0(-31.0)#2,871
71.	56339	23.0	58.0(-35.0)#71	53.0(-30.0)#3,111
72.	56257	23.0	58.0(-35.0)#72	53.0(-30.0)#3,131
73.	56165	23.0	58.0(-35.0)#73	53.0(-30.0)#3,133
74.	55731	24.0	58.0(-34.0)#74	53.0(-29.0)#3,262
75.	55965	24.0	58.0(-34.0)#75	53.0(-29.0)#3,316
76.	56169	24.0	58.0(-34.0)#76	53.0(-29.0)#3,374
77.	55319	25.0	58.0(-33.0)#77	53.0(-28.0)#3,540
78.	56057	25.0	58.0(-33.0)#78	53.0(-28.0)#3,562
79.	55114	25.0	58.0(-33.0)#79	53.0(-28.0)#3,569
80.	56587	25.0	58.0(-33.0)#80	53.0(-28.0)#3,630
81.	56727	25.0	58.0(-33.0)#81	53.0(-28.0)#3,639
82.	55926	25.0	58.0(-33.0)#82	53.0(-28.0)#3,643
83.	56170	25.0	58.0(-33.0)#83	53.0(-28.0)#3,659
84.	55120	26.0	58.0(-32.0)#84	53.0(-27.0)#3,792
85.	56150	26.0	58.0(-32.0)#85	53.0(-27.0)#3,826
86.	55054	26.0	58.0(-32.0)#86	53.0(-27.0)#3,834
87.	56167	26.0	58.0(-32.0)#87	53.0(-27.0)#3,899
88.	56649	27.0	58.0(-31.0)#88	53.0(-26.0)#4,021
89.	56101	27.0	58.0(-31.0)#89	53.0(-26.0)#4,044
90.	55373	27.0	58.0(-31.0)#90	53.0(-26.0)#4,050
91.	55798	27.0	58.0(-31.0)#91	53.0(-26.0)#4,169
92.	56145	27.0	58.0(-31.0)#92	53.0(-26.0)#4,176
93.	55702	27.0	58.0(-31.0)#93	53.0(-26.0)#4,177
94.	55987	28.0	58.0(-30.0)#94	53.0(-25.0)#4,218
95.	55301	28.0	58.0(-30.0)#95	53.0(-25.0)#4,283
96.	55352	28.0	58.0(-30.0)#96	53.0(-25.0)#4,301
97.	55037	28.0	58.0(-30.0)#97	53.0(-25.0)#4,333
98.	56284	28.0	58.0(-30.0)#98	53.0(-25.0)#4,373
99.	55312	28.0	58.0(-30.0)#99	53.0(-25.0)#4,396
100.	55941	28.0	58.0(-30.0)#100	53.0(-25.0)#4,405

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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 Minnesota?

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

2.0

3.0

4.0

4.0

6.0

7.0

8.0

8.0

9.0

#10

56683

9.0

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

55981 has the Fewest Births per 1,000 Women Below Poverty Level in Minnesota with 2.0.

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

Number of Births per 1,000 Women Below Poverty Level in Minnesota is 58.0.

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.