	Zip Code	Births / 1,000 Women	vs State	vs National
1.	56716	1.0	35.0(-34.0)#1	32.0(-31.0)#29
2.	56031	2.0	35.0(-33.0)#2	32.0(-30.0)#76
3.	55040	3.0	35.0(-32.0)#3	32.0(-29.0)#154
4.	55975	3.0	35.0(-32.0)#4	32.0(-29.0)#203
5.	55964	3.0	35.0(-32.0)#5	32.0(-29.0)#205
6.	55981	3.0	35.0(-32.0)#6	32.0(-29.0)#208
7.	56175	3.0	35.0(-32.0)#7	32.0(-29.0)#213
8.	55420	4.0	35.0(-31.0)#8	32.0(-28.0)#255
9.	55746	4.0	35.0(-31.0)#9	32.0(-28.0)#284
10.	55107	4.0	35.0(-31.0)#10	32.0(-28.0)#292
11.	55947	4.0	35.0(-31.0)#11	32.0(-28.0)#335
12.	56164	4.0	35.0(-31.0)#12	32.0(-28.0)#348
13.	55992	4.0	35.0(-31.0)#13	32.0(-28.0)#349
14.	55921	4.0	35.0(-31.0)#14	32.0(-28.0)#356
15.	56172	4.0	35.0(-31.0)#15	32.0(-28.0)#371
16.	55007	4.0	35.0(-31.0)#16	32.0(-28.0)#382
17.	55803	5.0	35.0(-30.0)#17	32.0(-27.0)#460
18.	55720	5.0	35.0(-30.0)#18	32.0(-27.0)#461
19.	55805	5.0	35.0(-30.0)#19	32.0(-27.0)#499
20.	55944	5.0	35.0(-30.0)#20	32.0(-27.0)#511
21.	56156	5.0	35.0(-30.0)#21	32.0(-27.0)#520
22.	55319	5.0	35.0(-30.0)#22	32.0(-27.0)#525
23.	56544	5.0	35.0(-30.0)#23	32.0(-27.0)#526
24.	56072	5.0	35.0(-30.0)#24	32.0(-27.0)#568
25.	56093	6.0	35.0(-29.0)#25	32.0(-26.0)#685
26.	55041	6.0	35.0(-29.0)#26	32.0(-26.0)#727
27.	55390	6.0	35.0(-29.0)#27	32.0(-26.0)#760
28.	56220	6.0	35.0(-29.0)#28	32.0(-26.0)#762
29.	56284	6.0	35.0(-29.0)#29	32.0(-26.0)#765
30.	55340	7.0	35.0(-28.0)#30	32.0(-25.0)#908
31.	55121	7.0	35.0(-28.0)#31	32.0(-25.0)#912
32.	56482	7.0	35.0(-28.0)#32	32.0(-25.0)#920
33.	55072	7.0	35.0(-28.0)#33	32.0(-25.0)#948
34.	56547	7.0	35.0(-28.0)#34	32.0(-25.0)#976
35.	56009	7.0	35.0(-28.0)#35	32.0(-25.0)#992
36.	55108	8.0	35.0(-27.0)#36	32.0(-24.0)#1,118
37.	56081	8.0	35.0(-27.0)#37	32.0(-24.0)#1,198
38.	56633	8.0	35.0(-27.0)#38	32.0(-24.0)#1,218
39.	55322	8.0	35.0(-27.0)#39	32.0(-24.0)#1,234
40.	56557	8.0	35.0(-27.0)#40	32.0(-24.0)#1,245
41.	55395	8.0	35.0(-27.0)#41	32.0(-24.0)#1,251
42.	56315	8.0	35.0(-27.0)#42	32.0(-24.0)#1,261
43.	56017	8.0	35.0(-27.0)#43	32.0(-24.0)#1,262
44.	56314	8.0	35.0(-27.0)#44	32.0(-24.0)#1,270
45.	56362	9.0	35.0(-26.0)#45	32.0(-23.0)#1,456
46.	55709	9.0	35.0(-26.0)#46	32.0(-23.0)#1,465
47.	55718	9.0	35.0(-26.0)#47	32.0(-23.0)#1,496
48.	55768	9.0	35.0(-26.0)#48	32.0(-23.0)#1,508
49.	55084	9.0	35.0(-26.0)#49	32.0(-23.0)#1,516
50.	56511	9.0	35.0(-26.0)#50	32.0(-23.0)#1,517
51.	55945	9.0	35.0(-26.0)#51	32.0(-23.0)#1,531
52.	55338	9.0	35.0(-26.0)#52	32.0(-23.0)#1,536
53.	55339	9.0	35.0(-26.0)#53	32.0(-23.0)#1,537
54.	55408	10.0	35.0(-25.0)#54	32.0(-22.0)#1,590
55.	55404	10.0	35.0(-25.0)#55	32.0(-22.0)#1,606
56.	56303	10.0	35.0(-25.0)#56	32.0(-22.0)#1,615
57.	55009	10.0	35.0(-25.0)#57	32.0(-22.0)#1,713
58.	55043	10.0	35.0(-25.0)#58	32.0(-22.0)#1,761
59.	56381	10.0	35.0(-25.0)#59	32.0(-22.0)#1,790
60.	55939	10.0	35.0(-25.0)#60	32.0(-22.0)#1,800
61.	56339	10.0	35.0(-25.0)#61	32.0(-22.0)#1,815
62.	56353	11.0	35.0(-24.0)#62	32.0(-21.0)#1,977
63.	55810	11.0	35.0(-24.0)#63	32.0(-21.0)#1,989
64.	56621	11.0	35.0(-24.0)#64	32.0(-21.0)#2,041
65.	55946	11.0	35.0(-24.0)#65	32.0(-21.0)#2,057
66.	55397	11.0	35.0(-24.0)#66	32.0(-21.0)#2,062
67.	56065	11.0	35.0(-24.0)#67	32.0(-21.0)#2,072
68.	56540	11.0	35.0(-24.0)#68	32.0(-21.0)#2,088
69.	55909	11.0	35.0(-24.0)#69	32.0(-21.0)#2,097
70.	56521	11.0	35.0(-24.0)#70	32.0(-21.0)#2,108
71.	55102	12.0	35.0(-23.0)#71	32.0(-20.0)#2,221
72.	56379	12.0	35.0(-23.0)#72	32.0(-20.0)#2,232
73.	55403	12.0	35.0(-23.0)#73	32.0(-20.0)#2,234
74.	55056	12.0	35.0(-23.0)#74	32.0(-20.0)#2,252
75.	55011	12.0	35.0(-23.0)#75	32.0(-20.0)#2,278
76.	56378	12.0	35.0(-23.0)#76	32.0(-20.0)#2,300
77.	56320	12.0	35.0(-23.0)#77	32.0(-20.0)#2,301
78.	55389	12.0	35.0(-23.0)#78	32.0(-20.0)#2,364
79.	55047	12.0	35.0(-23.0)#79	32.0(-20.0)#2,371
80.	56331	12.0	35.0(-23.0)#80	32.0(-20.0)#2,378
81.	56243	12.0	35.0(-23.0)#81	32.0(-20.0)#2,382
82.	56137	12.0	35.0(-23.0)#82	32.0(-20.0)#2,390
83.	56228	12.0	35.0(-23.0)#83	32.0(-20.0)#2,394
84.	55372	13.0	35.0(-22.0)#84	32.0(-19.0)#2,439
85.	55075	13.0	35.0(-22.0)#85	32.0(-19.0)#2,504
86.	55350	13.0	35.0(-22.0)#86	32.0(-19.0)#2,514
87.	55003	13.0	35.0(-22.0)#87	32.0(-19.0)#2,632
88.	56055	13.0	35.0(-22.0)#88	32.0(-19.0)#2,634
89.	55917	13.0	35.0(-22.0)#89	32.0(-19.0)#2,636
90.	56441	13.0	35.0(-22.0)#90	32.0(-19.0)#2,640
91.	55080	13.0	35.0(-22.0)#91	32.0(-19.0)#2,647
92.	56342	13.0	35.0(-22.0)#92	32.0(-19.0)#2,655
93.	56477	13.0	35.0(-22.0)#93	32.0(-19.0)#2,659
94.	55949	13.0	35.0(-22.0)#94	32.0(-19.0)#2,668
95.	56676	13.0	35.0(-22.0)#95	32.0(-19.0)#2,669
96.	55983	13.0	35.0(-22.0)#96	32.0(-19.0)#2,670
97.	55082	14.0	35.0(-21.0)#97	32.0(-18.0)#2,733
98.	55105	14.0	35.0(-21.0)#98	32.0(-18.0)#2,771
99.	55792	14.0	35.0(-21.0)#99	32.0(-18.0)#2,879
100.	56011	14.0	35.0(-21.0)#100	32.0(-18.0)#2,884

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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 Minnesota?

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

1.0

2.0

3.0

3.0

3.0

3.0

3.0

4.0

4.0

#10

55107

4.0

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

56716 has the Fewest Births per 1,000 Women Over the Age of 35 in Minnesota with 1.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Minnesota is 35.0.

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.