	Zip Code	Births / 1,000 Women	vs State	vs National
1.	34945	2.0	49.0(-47.0)#1	53.0(-51.0)#23
2.	32058	4.0	49.0(-45.0)#2	53.0(-49.0)#102
3.	33637	5.0	49.0(-44.0)#3	53.0(-48.0)#139
4.	32334	5.0	49.0(-44.0)#4	53.0(-48.0)#188
5.	33706	8.0	49.0(-41.0)#5	53.0(-45.0)#362
6.	34235	8.0	49.0(-41.0)#6	53.0(-45.0)#365
7.	33316	8.0	49.0(-41.0)#7	53.0(-45.0)#369
8.	32195	8.0	49.0(-41.0)#8	53.0(-45.0)#397
9.	32694	8.0	49.0(-41.0)#9	53.0(-45.0)#411
10.	34465	9.0	49.0(-40.0)#10	53.0(-44.0)#461
11.	33332	9.0	49.0(-40.0)#11	53.0(-44.0)#470
12.	32502	9.0	49.0(-40.0)#12	53.0(-44.0)#498
13.	33950	11.0	49.0(-38.0)#13	53.0(-42.0)#710
14.	33606	11.0	49.0(-38.0)#14	53.0(-42.0)#711
15.	32112	11.0	49.0(-38.0)#15	53.0(-42.0)#731
16.	32603	11.0	49.0(-38.0)#16	53.0(-42.0)#743
17.	32622	11.0	49.0(-38.0)#17	53.0(-42.0)#786
18.	34481	12.0	49.0(-37.0)#18	53.0(-41.0)#839
19.	32091	12.0	49.0(-37.0)#19	53.0(-41.0)#844
20.	34461	12.0	49.0(-37.0)#20	53.0(-41.0)#851
21.	32038	12.0	49.0(-37.0)#21	53.0(-41.0)#861
22.	34269	12.0	49.0(-37.0)#22	53.0(-41.0)#885
23.	32080	13.0	49.0(-36.0)#23	53.0(-40.0)#980
24.	32024	13.0	49.0(-36.0)#24	53.0(-40.0)#982
25.	32609	13.0	49.0(-36.0)#25	53.0(-40.0)#983
26.	34134	13.0	49.0(-36.0)#26	53.0(-40.0)#987
27.	32963	13.0	49.0(-36.0)#27	53.0(-40.0)#990
28.	33469	13.0	49.0(-36.0)#28	53.0(-40.0)#991
29.	33483	13.0	49.0(-36.0)#29	53.0(-40.0)#996
30.	34229	13.0	49.0(-36.0)#30	53.0(-40.0)#1,010
31.	32324	13.0	49.0(-36.0)#31	53.0(-40.0)#1,031
32.	32580	13.0	49.0(-36.0)#32	53.0(-40.0)#1,044
33.	32304	14.0	49.0(-35.0)#33	53.0(-39.0)#1,126
34.	33193	14.0	49.0(-35.0)#34	53.0(-39.0)#1,127
35.	34652	14.0	49.0(-35.0)#35	53.0(-39.0)#1,132
36.	34285	14.0	49.0(-35.0)#36	53.0(-39.0)#1,138
37.	32908	14.0	49.0(-35.0)#37	53.0(-39.0)#1,143
38.	33330	14.0	49.0(-35.0)#38	53.0(-39.0)#1,145
39.	32920	14.0	49.0(-35.0)#39	53.0(-39.0)#1,152
40.	33597	14.0	49.0(-35.0)#40	53.0(-39.0)#1,157
41.	34436	14.0	49.0(-35.0)#41	53.0(-39.0)#1,161
42.	32113	14.0	49.0(-35.0)#42	53.0(-39.0)#1,176
43.	32462	14.0	49.0(-35.0)#43	53.0(-39.0)#1,198
44.	33908	15.0	49.0(-34.0)#44	53.0(-38.0)#1,284
45.	33137	15.0	49.0(-34.0)#45	53.0(-38.0)#1,292
46.	32118	15.0	49.0(-34.0)#46	53.0(-38.0)#1,305
47.	34145	15.0	49.0(-34.0)#47	53.0(-38.0)#1,310
48.	33567	15.0	49.0(-34.0)#48	53.0(-38.0)#1,315
49.	33070	15.0	49.0(-34.0)#49	53.0(-38.0)#1,345
50.	32431	15.0	49.0(-34.0)#50	53.0(-38.0)#1,360
51.	33184	16.0	49.0(-33.0)#51	53.0(-37.0)#1,488
52.	33170	16.0	49.0(-33.0)#52	53.0(-37.0)#1,495
53.	32931	16.0	49.0(-33.0)#53	53.0(-37.0)#1,497
54.	32776	16.0	49.0(-33.0)#54	53.0(-37.0)#1,504
55.	34949	16.0	49.0(-33.0)#55	53.0(-37.0)#1,522
56.	33027	17.0	49.0(-32.0)#56	53.0(-36.0)#1,651
57.	32137	17.0	49.0(-32.0)#57	53.0(-36.0)#1,653
58.	33029	17.0	49.0(-32.0)#58	53.0(-36.0)#1,654
59.	32607	17.0	49.0(-32.0)#59	53.0(-36.0)#1,657
60.	33431	17.0	49.0(-32.0)#60	53.0(-36.0)#1,660
61.	33498	17.0	49.0(-32.0)#61	53.0(-36.0)#1,667
62.	32204	17.0	49.0(-32.0)#62	53.0(-36.0)#1,698
63.	33493	17.0	49.0(-32.0)#63	53.0(-36.0)#1,717
64.	32606	18.0	49.0(-31.0)#64	53.0(-35.0)#1,825
65.	32308	18.0	49.0(-31.0)#65	53.0(-35.0)#1,828
66.	34957	18.0	49.0(-31.0)#66	53.0(-35.0)#1,829
67.	34238	18.0	49.0(-31.0)#67	53.0(-35.0)#1,830
68.	32128	18.0	49.0(-31.0)#68	53.0(-35.0)#1,831
69.	33896	18.0	49.0(-31.0)#69	53.0(-35.0)#1,832
70.	32801	18.0	49.0(-31.0)#70	53.0(-35.0)#1,850
71.	32310	18.0	49.0(-31.0)#71	53.0(-35.0)#1,851
72.	33037	18.0	49.0(-31.0)#72	53.0(-35.0)#1,854
73.	33966	18.0	49.0(-31.0)#73	53.0(-35.0)#1,859
74.	32040	18.0	49.0(-31.0)#74	53.0(-35.0)#1,868
75.	32732	18.0	49.0(-31.0)#75	53.0(-35.0)#1,893
76.	33897	19.0	49.0(-30.0)#76	53.0(-34.0)#2,009
77.	32967	19.0	49.0(-30.0)#77	53.0(-34.0)#2,014
78.	33444	19.0	49.0(-30.0)#78	53.0(-34.0)#2,018
79.	33523	19.0	49.0(-30.0)#79	53.0(-34.0)#2,030
80.	32824	20.0	49.0(-29.0)#80	53.0(-33.0)#2,195
81.	34984	20.0	49.0(-29.0)#81	53.0(-33.0)#2,224
82.	32141	20.0	49.0(-29.0)#82	53.0(-33.0)#2,225
83.	34211	20.0	49.0(-29.0)#83	53.0(-33.0)#2,231
84.	33477	20.0	49.0(-29.0)#84	53.0(-33.0)#2,241
85.	32465	20.0	49.0(-29.0)#85	53.0(-33.0)#2,265
86.	32145	20.0	49.0(-29.0)#86	53.0(-33.0)#2,279
87.	32764	20.0	49.0(-29.0)#87	53.0(-33.0)#2,325
88.	32330	20.0	49.0(-29.0)#88	53.0(-33.0)#2,396
89.	33141	21.0	49.0(-28.0)#89	53.0(-32.0)#2,431
90.	33455	21.0	49.0(-28.0)#90	53.0(-32.0)#2,459
91.	33301	21.0	49.0(-28.0)#91	53.0(-32.0)#2,468
92.	32641	21.0	49.0(-28.0)#92	53.0(-32.0)#2,469
93.	33480	21.0	49.0(-28.0)#93	53.0(-32.0)#2,488
94.	33953	21.0	49.0(-28.0)#94	53.0(-32.0)#2,510
95.	32066	21.0	49.0(-28.0)#95	53.0(-32.0)#2,514
96.	32044	21.0	49.0(-28.0)#96	53.0(-32.0)#2,587
97.	32129	22.0	49.0(-27.0)#97	53.0(-31.0)#2,678
98.	32119	22.0	49.0(-27.0)#98	53.0(-31.0)#2,682
99.	33549	22.0	49.0(-27.0)#99	53.0(-31.0)#2,695
100.	34241	22.0	49.0(-27.0)#100	53.0(-31.0)#2,703

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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 Florida?

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

2.0

4.0

5.0

5.0

8.0

8.0

8.0

8.0

8.0

#10

34465

9.0

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

34945 has the Fewest Births per 1,000 Women Below Poverty Level in Florida with 2.0.

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

Number of Births per 1,000 Women Below Poverty Level in Florida is 49.0.

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.