	Zip Code	Births / 1,000 Women	vs State	vs National
1.	54476	2.0	29.0 (-27.0)#1	32.0 (-30.0)#63
2.	53074	2.0	29.0 (-27.0)#2	32.0 (-30.0)#73
3.	54114	2.0	29.0 (-27.0)#3	32.0 (-30.0)#93
4.	53094	3.0	29.0 (-26.0)#4	32.0 (-29.0)#138
5.	53085	3.0	29.0 (-26.0)#5	32.0 (-29.0)#165
6.	53821	3.0	29.0 (-26.0)#6	32.0 (-29.0)#187
7.	54963	3.0	29.0 (-26.0)#7	32.0 (-29.0)#191
8.	53528	3.0	29.0 (-26.0)#8	32.0 (-29.0)#193
9.	54501	4.0	29.0 (-25.0)#9	32.0 (-28.0)#261
10.	53959	4.0	29.0 (-25.0)#10	32.0 (-28.0)#298
11.	53520	4.0	29.0 (-25.0)#11	32.0 (-28.0)#338
12.	53184	4.0	29.0 (-25.0)#12	32.0 (-28.0)#359
13.	54873	4.0	29.0 (-25.0)#13	32.0 (-28.0)#367
14.	53919	4.0	29.0 (-25.0)#14	32.0 (-28.0)#384
15.	54302	5.0	29.0 (-24.0)#15	32.0 (-27.0)#406
16.	53202	5.0	29.0 (-24.0)#16	32.0 (-27.0)#417
17.	54660	5.0	29.0 (-24.0)#17	32.0 (-27.0)#470
18.	54929	5.0	29.0 (-24.0)#18	32.0 (-27.0)#504
19.	54157	5.0	29.0 (-24.0)#19	32.0 (-27.0)#521
20.	54448	5.0	29.0 (-24.0)#20	32.0 (-27.0)#542
21.	54180	5.0	29.0 (-24.0)#21	32.0 (-27.0)#553
22.	53019	5.0	29.0 (-24.0)#22	32.0 (-27.0)#572
23.	54452	6.0	29.0 (-23.0)#23	32.0 (-26.0)#652
24.	53558	6.0	29.0 (-23.0)#24	32.0 (-26.0)#683
25.	53534	6.0	29.0 (-23.0)#25	32.0 (-26.0)#689
26.	53925	6.0	29.0 (-23.0)#26	32.0 (-26.0)#715
27.	53533	6.0	29.0 (-23.0)#27	32.0 (-26.0)#729
28.	53588	6.0	29.0 (-23.0)#28	32.0 (-26.0)#752
29.	53405	7.0	29.0 (-22.0)#29	32.0 (-25.0)#812
30.	54235	7.0	29.0 (-22.0)#30	32.0 (-25.0)#850
31.	54961	7.0	29.0 (-22.0)#31	32.0 (-25.0)#874
32.	54669	7.0	29.0 (-22.0)#32	32.0 (-25.0)#915
33.	53050	7.0	29.0 (-22.0)#33	32.0 (-25.0)#922
34.	54812	7.0	29.0 (-22.0)#34	32.0 (-25.0)#930
35.	53565	7.0	29.0 (-22.0)#35	32.0 (-25.0)#947
36.	54837	7.0	29.0 (-22.0)#36	32.0 (-25.0)#958
37.	54864	7.0	29.0 (-22.0)#37	32.0 (-25.0)#991
38.	53147	8.0	29.0 (-21.0)#38	32.0 (-24.0)#1,095
39.	53098	8.0	29.0 (-21.0)#39	32.0 (-24.0)#1,150
40.	54730	8.0	29.0 (-21.0)#40	32.0 (-24.0)#1,212
41.	54739	8.0	29.0 (-21.0)#41	32.0 (-24.0)#1,214
42.	54520	8.0	29.0 (-21.0)#42	32.0 (-24.0)#1,228
43.	54406	8.0	29.0 (-21.0)#43	32.0 (-24.0)#1,230
44.	54856	8.0	29.0 (-21.0)#44	32.0 (-24.0)#1,264
45.	54610	8.0	29.0 (-21.0)#45	32.0 (-24.0)#1,265
46.	54408	8.0	29.0 (-21.0)#46	32.0 (-24.0)#1,272
47.	53154	9.0	29.0 (-20.0)#47	32.0 (-23.0)#1,299
48.	53214	9.0	29.0 (-20.0)#48	32.0 (-23.0)#1,304
49.	53095	9.0	29.0 (-20.0)#49	32.0 (-23.0)#1,319
50.	54166	9.0	29.0 (-20.0)#50	32.0 (-23.0)#1,377
51.	53048	9.0	29.0 (-20.0)#51	32.0 (-23.0)#1,481
52.	54174	9.0	29.0 (-20.0)#52	32.0 (-23.0)#1,499
53.	54872	9.0	29.0 (-20.0)#53	32.0 (-23.0)#1,505
54.	54480	9.0	29.0 (-20.0)#54	32.0 (-23.0)#1,529
55.	54632	9.0	29.0 (-20.0)#55	32.0 (-23.0)#1,535
56.	54311	10.0	29.0 (-19.0)#56	32.0 (-22.0)#1,575
57.	53563	10.0	29.0 (-19.0)#57	32.0 (-22.0)#1,687
58.	54810	10.0	29.0 (-19.0)#58	32.0 (-22.0)#1,776
59.	53556	10.0	29.0 (-19.0)#59	32.0 (-22.0)#1,789
60.	54847	10.0	29.0 (-19.0)#60	32.0 (-22.0)#1,791
61.	54623	10.0	29.0 (-19.0)#61	32.0 (-22.0)#1,798
62.	53402	11.0	29.0 (-18.0)#62	32.0 (-21.0)#1,847
63.	54481	11.0	29.0 (-18.0)#63	32.0 (-21.0)#1,871
64.	54603	11.0	29.0 (-18.0)#64	32.0 (-21.0)#1,938
65.	54482	11.0	29.0 (-18.0)#65	32.0 (-21.0)#1,976
66.	54217	11.0	29.0 (-18.0)#66	32.0 (-21.0)#1,994
67.	53010	11.0	29.0 (-18.0)#67	32.0 (-21.0)#1,995
68.	53042	11.0	29.0 (-18.0)#68	32.0 (-21.0)#2,008
69.	54216	11.0	29.0 (-18.0)#69	32.0 (-21.0)#2,014
70.	54568	11.0	29.0 (-18.0)#70	32.0 (-21.0)#2,036
71.	54773	11.0	29.0 (-18.0)#71	32.0 (-21.0)#2,050
72.	54129	11.0	29.0 (-18.0)#72	32.0 (-21.0)#2,054
73.	54101	11.0	29.0 (-18.0)#73	32.0 (-21.0)#2,065
74.	53035	11.0	29.0 (-18.0)#74	32.0 (-21.0)#2,077
75.	53091	11.0	29.0 (-18.0)#75	32.0 (-21.0)#2,084
76.	53586	11.0	29.0 (-18.0)#76	32.0 (-21.0)#2,086
77.	54734	11.0	29.0 (-18.0)#77	32.0 (-21.0)#2,110
78.	53948	12.0	29.0 (-17.0)#78	32.0 (-20.0)#2,302
79.	54758	12.0	29.0 (-17.0)#79	32.0 (-20.0)#2,333
80.	54736	12.0	29.0 (-17.0)#80	32.0 (-20.0)#2,340
81.	54124	12.0	29.0 (-17.0)#81	32.0 (-20.0)#2,351
82.	54005	12.0	29.0 (-17.0)#82	32.0 (-20.0)#2,354
83.	54177	12.0	29.0 (-17.0)#83	32.0 (-20.0)#2,362
84.	54947	12.0	29.0 (-17.0)#84	32.0 (-20.0)#2,375
85.	54740	12.0	29.0 (-17.0)#85	32.0 (-20.0)#2,380
86.	53517	12.0	29.0 (-17.0)#86	32.0 (-20.0)#2,383
87.	54638	12.0	29.0 (-17.0)#87	32.0 (-20.0)#2,389
88.	53937	12.0	29.0 (-17.0)#88	32.0 (-20.0)#2,391
89.	53227	13.0	29.0 (-16.0)#89	32.0 (-19.0)#2,482
90.	53538	13.0	29.0 (-16.0)#90	32.0 (-19.0)#2,517
91.	54656	13.0	29.0 (-16.0)#91	32.0 (-19.0)#2,521
92.	54162	13.0	29.0 (-16.0)#92	32.0 (-19.0)#2,579
93.	53018	13.0	29.0 (-16.0)#93	32.0 (-19.0)#2,590
94.	53805	13.0	29.0 (-16.0)#94	32.0 (-19.0)#2,607
95.	54742	13.0	29.0 (-16.0)#95	32.0 (-19.0)#2,615
96.	54983	13.0	29.0 (-16.0)#96	32.0 (-19.0)#2,626
97.	53137	13.0	29.0 (-16.0)#97	32.0 (-19.0)#2,676
98.	53027	14.0	29.0 (-15.0)#98	32.0 (-18.0)#2,786
99.	54487	14.0	29.0 (-15.0)#99	32.0 (-18.0)#2,882
100.	53551	14.0	29.0 (-15.0)#100	32.0 (-18.0)#2,885

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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 Wisconsin?

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

2.0

2.0

2.0

3.0

3.0

3.0

3.0

3.0

4.0

#10

53959

4.0

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

54476 has the Fewest Births per 1,000 Women Over the Age of 35 in Wisconsin with 2.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Wisconsin is 29.0.

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.