	Zip Code	Births / 1,000 Women	vs State	vs National
1.	14843	1.0	39.0(-38.0)#1	32.0(-31.0)#20
2.	14303	2.0	39.0(-37.0)#2	32.0(-30.0)#91
3.	13142	2.0	39.0(-37.0)#3	32.0(-30.0)#92
4.	11514	2.0	39.0(-37.0)#4	32.0(-30.0)#101
5.	10524	2.0	39.0(-37.0)#5	32.0(-30.0)#105
6.	12839	3.0	39.0(-36.0)#6	32.0(-29.0)#156
7.	10601	4.0	39.0(-35.0)#7	32.0(-28.0)#318
8.	14059	4.0	39.0(-35.0)#8	32.0(-28.0)#326
9.	14706	4.0	39.0(-35.0)#9	32.0(-28.0)#342
10.	14202	4.0	39.0(-35.0)#10	32.0(-28.0)#362
11.	12154	4.0	39.0(-35.0)#11	32.0(-28.0)#372
12.	13208	5.0	39.0(-34.0)#12	32.0(-27.0)#432
13.	12110	5.0	39.0(-34.0)#13	32.0(-27.0)#447
14.	13032	5.0	39.0(-34.0)#14	32.0(-27.0)#481
15.	10309	6.0	39.0(-33.0)#15	32.0(-26.0)#592
16.	13905	6.0	39.0(-33.0)#16	32.0(-26.0)#615
17.	14901	6.0	39.0(-33.0)#17	32.0(-26.0)#671
18.	14411	6.0	39.0(-33.0)#18	32.0(-26.0)#687
19.	11545	6.0	39.0(-33.0)#19	32.0(-26.0)#697
20.	13904	6.0	39.0(-33.0)#20	32.0(-26.0)#712
21.	12123	6.0	39.0(-33.0)#21	32.0(-26.0)#745
22.	13803	6.0	39.0(-33.0)#22	32.0(-26.0)#747
23.	13343	6.0	39.0(-33.0)#23	32.0(-26.0)#770
24.	14701	7.0	39.0(-32.0)#24	32.0(-25.0)#789
25.	12020	7.0	39.0(-32.0)#25	32.0(-25.0)#796
26.	14616	7.0	39.0(-32.0)#26	32.0(-25.0)#811
27.	11776	7.0	39.0(-32.0)#27	32.0(-25.0)#825
28.	14870	7.0	39.0(-32.0)#28	32.0(-25.0)#900
29.	12202	7.0	39.0(-32.0)#29	32.0(-25.0)#904
30.	14001	7.0	39.0(-32.0)#30	32.0(-25.0)#909
31.	12025	7.0	39.0(-32.0)#31	32.0(-25.0)#934
32.	14024	7.0	39.0(-32.0)#32	32.0(-25.0)#989
33.	10038	8.0	39.0(-31.0)#33	32.0(-24.0)#1,071
34.	14564	8.0	39.0(-31.0)#34	32.0(-24.0)#1,110
35.	11730	8.0	39.0(-31.0)#35	32.0(-24.0)#1,128
36.	14105	8.0	39.0(-31.0)#36	32.0(-24.0)#1,215
37.	14865	8.0	39.0(-31.0)#37	32.0(-24.0)#1,249
38.	13126	9.0	39.0(-30.0)#38	32.0(-23.0)#1,300
39.	14420	9.0	39.0(-30.0)#39	32.0(-23.0)#1,353
40.	11239	9.0	39.0(-30.0)#40	32.0(-23.0)#1,372
41.	11968	9.0	39.0(-30.0)#41	32.0(-23.0)#1,394
42.	13041	9.0	39.0(-30.0)#42	32.0(-23.0)#1,399
43.	14032	9.0	39.0(-30.0)#43	32.0(-23.0)#1,411
44.	11559	9.0	39.0(-30.0)#44	32.0(-23.0)#1,434
45.	13135	9.0	39.0(-30.0)#45	32.0(-23.0)#1,450
46.	14512	9.0	39.0(-30.0)#46	32.0(-23.0)#1,462
47.	13460	9.0	39.0(-30.0)#47	32.0(-23.0)#1,466
48.	14548	9.0	39.0(-30.0)#48	32.0(-23.0)#1,469
49.	14823	9.0	39.0(-30.0)#49	32.0(-23.0)#1,472
50.	14532	9.0	39.0(-30.0)#50	32.0(-23.0)#1,473
51.	13743	9.0	39.0(-30.0)#51	32.0(-23.0)#1,484
52.	13797	9.0	39.0(-30.0)#52	32.0(-23.0)#1,514
53.	14504	9.0	39.0(-30.0)#53	32.0(-23.0)#1,527
54.	11542	10.0	39.0(-29.0)#54	32.0(-22.0)#1,601
55.	14216	10.0	39.0(-29.0)#55	32.0(-22.0)#1,622
56.	11436	10.0	39.0(-29.0)#56	32.0(-22.0)#1,631
57.	13039	10.0	39.0(-29.0)#57	32.0(-22.0)#1,652
58.	14619	10.0	39.0(-29.0)#58	32.0(-22.0)#1,668
59.	11778	10.0	39.0(-29.0)#59	32.0(-22.0)#1,680
60.	14301	10.0	39.0(-29.0)#60	32.0(-22.0)#1,684
61.	12043	10.0	39.0(-29.0)#61	32.0(-22.0)#1,720
62.	14009	10.0	39.0(-29.0)#62	32.0(-22.0)#1,739
63.	14727	10.0	39.0(-29.0)#63	32.0(-22.0)#1,743
64.	12966	10.0	39.0(-29.0)#64	32.0(-22.0)#1,771
65.	14517	10.0	39.0(-29.0)#65	32.0(-22.0)#1,778
66.	14735	10.0	39.0(-29.0)#66	32.0(-22.0)#1,781
67.	12070	10.0	39.0(-29.0)#67	32.0(-22.0)#1,784
68.	14519	11.0	39.0(-28.0)#68	32.0(-21.0)#1,947
69.	14608	11.0	39.0(-28.0)#69	32.0(-21.0)#1,948
70.	13827	11.0	39.0(-28.0)#70	32.0(-21.0)#1,957
71.	14103	11.0	39.0(-28.0)#71	32.0(-21.0)#1,964
72.	14770	11.0	39.0(-28.0)#72	32.0(-21.0)#2,069
73.	11224	12.0	39.0(-27.0)#73	32.0(-20.0)#2,121
74.	14612	12.0	39.0(-27.0)#74	32.0(-20.0)#2,144
75.	14127	12.0	39.0(-27.0)#75	32.0(-20.0)#2,163
76.	14830	12.0	39.0(-27.0)#76	32.0(-20.0)#2,222
77.	14219	12.0	39.0(-27.0)#77	32.0(-20.0)#2,280
78.	12572	12.0	39.0(-27.0)#78	32.0(-20.0)#2,294
79.	12084	12.0	39.0(-27.0)#79	32.0(-20.0)#2,328
80.	13491	12.0	39.0(-27.0)#80	32.0(-20.0)#2,345
81.	12117	12.0	39.0(-27.0)#81	32.0(-20.0)#2,361
82.	12065	13.0	39.0(-26.0)#82	32.0(-19.0)#2,416
83.	11422	13.0	39.0(-26.0)#83	32.0(-19.0)#2,445
84.	10954	13.0	39.0(-26.0)#84	32.0(-19.0)#2,468
85.	11783	13.0	39.0(-26.0)#85	32.0(-19.0)#2,493
86.	10302	13.0	39.0(-26.0)#86	32.0(-19.0)#2,516
87.	10522	13.0	39.0(-26.0)#87	32.0(-19.0)#2,564
88.	14467	13.0	39.0(-26.0)#88	32.0(-19.0)#2,573
89.	13340	13.0	39.0(-26.0)#89	32.0(-19.0)#2,593
90.	13856	13.0	39.0(-26.0)#90	32.0(-19.0)#2,602
91.	14136	13.0	39.0(-26.0)#91	32.0(-19.0)#2,614
92.	13811	13.0	39.0(-26.0)#92	32.0(-19.0)#2,630
93.	14541	13.0	39.0(-26.0)#93	32.0(-19.0)#2,637
94.	10998	13.0	39.0(-26.0)#94	32.0(-19.0)#2,641
95.	12993	13.0	39.0(-26.0)#95	32.0(-19.0)#2,673
96.	11365	14.0	39.0(-25.0)#96	32.0(-18.0)#2,708
97.	11763	14.0	39.0(-25.0)#97	32.0(-18.0)#2,761
98.	10552	14.0	39.0(-25.0)#98	32.0(-18.0)#2,792
99.	14210	14.0	39.0(-25.0)#99	32.0(-18.0)#2,832
100.	11693	14.0	39.0(-25.0)#100	32.0(-18.0)#2,849

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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 New York?

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

1.0

2.0

2.0

2.0

2.0

3.0

4.0

4.0

4.0

#10

14202

4.0

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

14843 has the Fewest Births per 1,000 Women Over the Age of 35 in New York with 1.0.

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

Number of Births per 1,000 Women Over the Age of 35 in New York is 39.0.

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.