	Zip Code	Births / 1,000 Women	vs State	vs National
1.	00677	2.0	28.0 (-26.0)#1	53.0 (-51.0)#13
2.	00719	5.0	28.0 (-23.0)#2	53.0 (-48.0)#135
3.	00610	7.0	28.0 (-21.0)#3	53.0 (-46.0)#280
4.	00782	7.0	28.0 (-21.0)#4	53.0 (-46.0)#281
5.	00670	8.0	28.0 (-20.0)#5	53.0 (-45.0)#371
6.	00751	9.0	28.0 (-19.0)#6	53.0 (-44.0)#459
7.	00622	9.0	28.0 (-19.0)#7	53.0 (-44.0)#477
8.	00971	10.0	28.0 (-18.0)#8	53.0 (-43.0)#586
9.	00927	10.0	28.0 (-18.0)#9	53.0 (-43.0)#595
10.	00965	10.0	28.0 (-18.0)#10	53.0 (-43.0)#617
11.	00652	10.0	28.0 (-18.0)#11	53.0 (-43.0)#625
12.	00969	11.0	28.0 (-17.0)#12	53.0 (-42.0)#704
13.	00918	11.0	28.0 (-17.0)#13	53.0 (-42.0)#713
14.	00725	13.0	28.0 (-15.0)#14	53.0 (-40.0)#976
15.	00676	14.0	28.0 (-14.0)#15	53.0 (-39.0)#1,128
16.	00754	14.0	28.0 (-14.0)#16	53.0 (-39.0)#1,129
17.	00739	14.0	28.0 (-14.0)#17	53.0 (-39.0)#1,130
18.	00923	14.0	28.0 (-14.0)#18	53.0 (-39.0)#1,133
19.	00624	14.0	28.0 (-14.0)#19	53.0 (-39.0)#1,135
20.	00602	15.0	28.0 (-13.0)#20	53.0 (-38.0)#1,285
21.	00678	15.0	28.0 (-13.0)#21	53.0 (-38.0)#1,293
22.	00953	16.0	28.0 (-12.0)#22	53.0 (-37.0)#1,476
23.	00957	16.0	28.0 (-12.0)#23	53.0 (-37.0)#1,479
24.	00606	16.0	28.0 (-12.0)#24	53.0 (-37.0)#1,534
25.	00907	17.0	28.0 (-11.0)#25	53.0 (-36.0)#1,669
26.	00791	18.0	28.0 (-10.00)#26	53.0 (-35.0)#1,818
27.	00917	18.0	28.0 (-10.00)#27	53.0 (-35.0)#1,837
28.	00920	18.0	28.0 (-10.00)#28	53.0 (-35.0)#1,841
29.	00778	20.0	28.0 (-8.00)#29	53.0 (-33.0)#2,199
30.	00623	20.0	28.0 (-8.00)#30	53.0 (-33.0)#2,200
31.	00983	20.0	28.0 (-8.00)#31	53.0 (-33.0)#2,207
32.	00773	20.0	28.0 (-8.00)#32	53.0 (-33.0)#2,227
33.	00966	20.0	28.0 (-8.00)#33	53.0 (-33.0)#2,232
34.	00688	20.0	28.0 (-8.00)#34	53.0 (-33.0)#2,242
35.	00959	21.0	28.0 (-7.00)#35	53.0 (-32.0)#2,426
36.	00731	21.0	28.0 (-7.00)#36	53.0 (-32.0)#2,492
37.	00976	22.0	28.0 (-6.00)#37	53.0 (-31.0)#2,658
38.	00627	22.0	28.0 (-6.00)#38	53.0 (-31.0)#2,667
39.	00718	22.0	28.0 (-6.00)#39	53.0 (-31.0)#2,680
40.	00637	22.0	28.0 (-6.00)#40	53.0 (-31.0)#2,683
41.	00601	23.0	28.0 (-5.00)#41	53.0 (-30.0)#2,958
42.	00603	24.0	28.0 (-4.00)#42	53.0 (-29.0)#3,144
43.	00769	24.0	28.0 (-4.00)#43	53.0 (-29.0)#3,156
44.	00738	24.0	28.0 (-4.00)#44	53.0 (-29.0)#3,162
45.	00683	24.0	28.0 (-4.00)#45	53.0 (-29.0)#3,164
46.	00617	24.0	28.0 (-4.00)#46	53.0 (-29.0)#3,179
47.	00729	25.0	28.0 (-3.00)#47	53.0 (-28.0)#3,395
48.	00924	25.0	28.0 (-3.00)#48	53.0 (-28.0)#3,396
49.	00915	25.0	28.0 (-3.00)#49	53.0 (-28.0)#3,438
50.	00641	25.0	28.0 (-3.00)#50	53.0 (-28.0)#3,441
51.	00656	25.0	28.0 (-3.00)#51	53.0 (-28.0)#3,465
52.	00771	26.0	28.0 (-2.00)#52	53.0 (-27.0)#3,682
53.	00727	27.0	28.0 (-1.000)#53	53.0 (-26.0)#3,927
54.	00736	27.0	28.0 (-1.000)#54	53.0 (-26.0)#3,930
55.	00728	27.0	28.0 (-1.000)#55	53.0 (-26.0)#3,936
56.	00714	27.0	28.0 (-1.000)#56	53.0 (-26.0)#3,994
57.	00717	27.0	28.0 (-1.000)#57	53.0 (-26.0)#3,996
58.	00616	27.0	28.0 (-1.000)#58	53.0 (-26.0)#4,015
59.	00693	28.0	28.0 (=0.000)#59	53.0 (-25.0)#4,192
60.	00987	29.0	28.0 (+1.000)#60	53.0 (-24.0)#4,445
61.	00687	29.0	28.0 (+1.000)#61	53.0 (-24.0)#4,481
62.	00716	29.0	28.0 (+1.000)#62	53.0 (-24.0)#4,489
63.	00720	29.0	28.0 (+1.000)#63	53.0 (-24.0)#4,511
64.	00962	29.0	28.0 (+1.000)#64	53.0 (-24.0)#4,515
65.	00698	30.0	28.0 (+2.00)#65	53.0 (-23.0)#4,749
66.	00667	30.0	28.0 (+2.00)#66	53.0 (-23.0)#4,780
67.	00757	30.0	28.0 (+2.00)#67	53.0 (-23.0)#4,793
68.	00926	31.0	28.0 (+3.00)#68	53.0 (-22.0)#5,008
69.	00772	31.0	28.0 (+3.00)#69	53.0 (-22.0)#5,112
70.	00745	32.0	28.0 (+4.00)#70	53.0 (-21.0)#5,330
71.	00685	32.0	28.0 (+4.00)#71	53.0 (-21.0)#5,337
72.	00703	32.0	28.0 (+4.00)#72	53.0 (-21.0)#5,383
73.	00912	32.0	28.0 (+4.00)#73	53.0 (-21.0)#5,469
74.	00949	33.0	28.0 (+5.00)#74	53.0 (-20.0)#5,597
75.	00956	33.0	28.0 (+5.00)#75	53.0 (-20.0)#5,598
76.	00680	33.0	28.0 (+5.00)#76	53.0 (-20.0)#5,624
77.	00921	33.0	28.0 (+5.00)#77	53.0 (-20.0)#5,646
78.	00653	33.0	28.0 (+5.00)#78	53.0 (-20.0)#5,763
79.	00723	34.0	28.0 (+6.00)#79	53.0 (-19.0)#6,027
80.	00707	34.0	28.0 (+6.00)#80	53.0 (-19.0)#6,066
81.	00682	35.0	28.0 (+7.00)#81	53.0 (-18.0)#6,304
82.	00961	35.0	28.0 (+7.00)#82	53.0 (-18.0)#6,309
83.	00662	36.0	28.0 (+8.00)#83	53.0 (-17.0)#6,571
84.	00784	36.0	28.0 (+8.00)#84	53.0 (-17.0)#6,584
85.	00985	36.0	28.0 (+8.00)#85	53.0 (-17.0)#6,601
86.	00660	36.0	28.0 (+8.00)#86	53.0 (-17.0)#6,676
87.	00669	37.0	28.0 (+9.00)#87	53.0 (-16.0)#6,974
88.	00780	37.0	28.0 (+9.00)#88	53.0 (-16.0)#7,041
89.	00952	37.0	28.0 (+9.00)#89	53.0 (-16.0)#7,064
90.	00911	37.0	28.0 (+9.00)#90	53.0 (-16.0)#7,073
91.	00664	38.0	28.0 (+10.00)#91	53.0 (-15.0)#7,355
92.	00692	40.0	28.0 (+12.0)#92	53.0 (-13.0)#8,000
93.	00730	40.0	28.0 (+12.0)#93	53.0 (-13.0)#8,002
94.	00650	41.0	28.0 (+13.0)#94	53.0 (-12.0)#8,411
95.	00612	42.0	28.0 (+14.0)#95	53.0 (-11.0)#8,609
96.	00646	42.0	28.0 (+14.0)#96	53.0 (-11.0)#8,663
97.	00741	42.0	28.0 (+14.0)#97	53.0 (-11.0)#8,869
98.	00705	43.0	28.0 (+15.0)#98	53.0 (-10.00)#9,072
99.	00647	43.0	28.0 (+15.0)#99	53.0 (-10.00)#9,195
100.	00767	45.0	28.0 (+17.0)#100	53.0 (-8.00)#9,795

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Puerto Rico?

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

2.0

5.0

7.0

7.0

8.0

9.0

9.0

10.0

10.0

#10

00965

10.0

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

00677 has the Fewest Births per 1,000 Women Below Poverty Level in Puerto Rico with 2.0.

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

Number of Births per 1,000 Women Below Poverty Level in Puerto Rico is 28.0.

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.