	Zip Code	Births / 1,000 Women	vs State	vs National
1.	54873	3.0	52.0(-49.0)#1	53.0(-50.0)#65
2.	53235	4.0	52.0(-48.0)#2	53.0(-49.0)#89
3.	53544	5.0	52.0(-47.0)#3	53.0(-48.0)#205
4.	54977	8.0	52.0(-44.0)#4	53.0(-45.0)#421
5.	54527	8.0	52.0(-44.0)#5	53.0(-45.0)#438
6.	53703	9.0	52.0(-43.0)#6	53.0(-44.0)#455
7.	53713	9.0	52.0(-43.0)#7	53.0(-44.0)#458
8.	53115	9.0	52.0(-43.0)#8	53.0(-44.0)#464
9.	53036	9.0	52.0(-43.0)#9	53.0(-44.0)#510
10.	54876	9.0	52.0(-43.0)#10	53.0(-44.0)#531
11.	53202	10.0	52.0(-42.0)#11	53.0(-43.0)#587
12.	54246	10.0	52.0(-42.0)#12	53.0(-43.0)#679
13.	54537	10.0	52.0(-42.0)#13	53.0(-43.0)#687
14.	54512	11.0	52.0(-41.0)#14	53.0(-42.0)#793
15.	53715	12.0	52.0(-40.0)#15	53.0(-41.0)#846
16.	53098	13.0	52.0(-39.0)#16	53.0(-40.0)#1,000
17.	53549	13.0	52.0(-39.0)#17	53.0(-40.0)#1,005
18.	54153	13.0	52.0(-39.0)#18	53.0(-40.0)#1,012
19.	53153	13.0	52.0(-39.0)#19	53.0(-40.0)#1,064
20.	54657	13.0	52.0(-39.0)#20	53.0(-40.0)#1,123
21.	53821	14.0	52.0(-38.0)#21	53.0(-39.0)#1,162
22.	53528	14.0	52.0(-38.0)#22	53.0(-39.0)#1,169
23.	54739	14.0	52.0(-38.0)#23	53.0(-39.0)#1,181
24.	53930	14.0	52.0(-38.0)#24	53.0(-39.0)#1,246
25.	54841	14.0	52.0(-38.0)#25	53.0(-39.0)#1,280
26.	54853	15.0	52.0(-37.0)#26	53.0(-38.0)#1,365
27.	54124	15.0	52.0(-37.0)#27	53.0(-38.0)#1,370
28.	54810	15.0	52.0(-37.0)#28	53.0(-38.0)#1,389
29.	53203	15.0	52.0(-37.0)#29	53.0(-38.0)#1,409
30.	54610	15.0	52.0(-37.0)#30	53.0(-38.0)#1,423
31.	54156	15.0	52.0(-37.0)#31	53.0(-38.0)#1,426
32.	53526	15.0	52.0(-37.0)#32	53.0(-38.0)#1,461
33.	54737	15.0	52.0(-37.0)#33	53.0(-38.0)#1,462
34.	53551	16.0	52.0(-36.0)#34	53.0(-37.0)#1,513
35.	53205	16.0	52.0(-36.0)#35	53.0(-37.0)#1,515
36.	53119	16.0	52.0(-36.0)#36	53.0(-37.0)#1,533
37.	54448	16.0	52.0(-36.0)#37	53.0(-37.0)#1,545
38.	54247	16.0	52.0(-36.0)#38	53.0(-37.0)#1,579
39.	54965	16.0	52.0(-36.0)#39	53.0(-37.0)#1,611
40.	53922	16.0	52.0(-36.0)#40	53.0(-37.0)#1,615
41.	53010	17.0	52.0(-35.0)#41	53.0(-36.0)#1,702
42.	54406	17.0	52.0(-35.0)#42	53.0(-36.0)#1,732
43.	53108	17.0	52.0(-35.0)#43	53.0(-36.0)#1,748
44.	53550	17.0	52.0(-35.0)#44	53.0(-36.0)#1,785
45.	54137	17.0	52.0(-35.0)#45	53.0(-36.0)#1,787
46.	53405	18.0	52.0(-34.0)#46	53.0(-35.0)#1,821
47.	54155	18.0	52.0(-34.0)#47	53.0(-35.0)#1,870
48.	54519	18.0	52.0(-34.0)#48	53.0(-35.0)#1,966
49.	54129	19.0	52.0(-33.0)#49	53.0(-34.0)#2,113
50.	54725	19.0	52.0(-33.0)#50	53.0(-34.0)#2,117
51.	53063	19.0	52.0(-33.0)#51	53.0(-34.0)#2,139
52.	54563	19.0	52.0(-33.0)#52	53.0(-34.0)#2,172
53.	54530	19.0	52.0(-33.0)#53	53.0(-34.0)#2,178
54.	53150	20.0	52.0(-32.0)#54	53.0(-33.0)#2,211
55.	53129	20.0	52.0(-32.0)#55	53.0(-33.0)#2,234
56.	54001	20.0	52.0(-32.0)#56	53.0(-33.0)#2,266
57.	54025	20.0	52.0(-32.0)#57	53.0(-33.0)#2,271
58.	53080	20.0	52.0(-32.0)#58	53.0(-33.0)#2,284
59.	54024	20.0	52.0(-32.0)#59	53.0(-33.0)#2,288
60.	54949	20.0	52.0(-32.0)#60	53.0(-33.0)#2,317
61.	54856	20.0	52.0(-32.0)#61	53.0(-33.0)#2,358
62.	54546	20.0	52.0(-32.0)#62	53.0(-33.0)#2,379
63.	54557	20.0	52.0(-32.0)#63	53.0(-33.0)#2,383
64.	53939	20.0	52.0(-32.0)#64	53.0(-33.0)#2,419
65.	53181	21.0	52.0(-31.0)#65	53.0(-32.0)#2,507
66.	54539	21.0	52.0(-31.0)#66	53.0(-32.0)#2,612
67.	53597	22.0	52.0(-30.0)#67	53.0(-31.0)#2,685
68.	53185	22.0	52.0(-30.0)#68	53.0(-31.0)#2,693
69.	54963	22.0	52.0(-30.0)#69	53.0(-31.0)#2,741
70.	54979	22.0	52.0(-30.0)#70	53.0(-31.0)#2,813
71.	53924	22.0	52.0(-30.0)#71	53.0(-31.0)#2,836
72.	54408	22.0	52.0(-30.0)#72	53.0(-31.0)#2,841
73.	54554	22.0	52.0(-30.0)#73	53.0(-31.0)#2,851
74.	54937	23.0	52.0(-29.0)#74	53.0(-30.0)#2,940
75.	53024	23.0	52.0(-29.0)#75	53.0(-30.0)#2,950
76.	53563	23.0	52.0(-29.0)#76	53.0(-30.0)#2,977
77.	53018	23.0	52.0(-29.0)#77	53.0(-30.0)#3,002
78.	53065	23.0	52.0(-29.0)#78	53.0(-30.0)#3,072
79.	54531	23.0	52.0(-29.0)#79	53.0(-30.0)#3,098
80.	53120	24.0	52.0(-28.0)#80	53.0(-29.0)#3,221
81.	54216	24.0	52.0(-28.0)#81	53.0(-29.0)#3,252
82.	53033	24.0	52.0(-28.0)#82	53.0(-29.0)#3,254
83.	54891	24.0	52.0(-28.0)#83	53.0(-29.0)#3,288
84.	53517	24.0	52.0(-28.0)#84	53.0(-29.0)#3,333
85.	54550	24.0	52.0(-28.0)#85	53.0(-29.0)#3,377
86.	53045	25.0	52.0(-27.0)#86	53.0(-28.0)#3,444
87.	54495	25.0	52.0(-27.0)#87	53.0(-28.0)#3,510
88.	53013	25.0	52.0(-27.0)#88	53.0(-28.0)#3,566
89.	53020	25.0	52.0(-27.0)#89	53.0(-28.0)#3,568
90.	54896	25.0	52.0(-27.0)#90	53.0(-28.0)#3,617
91.	54566	25.0	52.0(-27.0)#91	53.0(-28.0)#3,622
92.	53402	26.0	52.0(-26.0)#92	53.0(-27.0)#3,681
93.	54981	26.0	52.0(-26.0)#93	53.0(-27.0)#3,737
94.	53959	26.0	52.0(-26.0)#94	53.0(-27.0)#3,741
95.	53104	26.0	52.0(-26.0)#95	53.0(-27.0)#3,785
96.	54568	26.0	52.0(-26.0)#96	53.0(-27.0)#3,795
97.	54733	26.0	52.0(-26.0)#97	53.0(-27.0)#3,871
98.	54526	26.0	52.0(-26.0)#98	53.0(-27.0)#3,894
99.	54481	27.0	52.0(-25.0)#99	53.0(-26.0)#3,955
100.	54006	27.0	52.0(-25.0)#100	53.0(-26.0)#4,159

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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 Wisconsin?

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

3.0

4.0

5.0

8.0

8.0

9.0

9.0

9.0

9.0

#10

54876

9.0

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

54873 has the Fewest Births per 1,000 Women Below Poverty Level in Wisconsin with 3.0.

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

Number of Births per 1,000 Women Below Poverty Level in Wisconsin is 52.0.

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.