	Zip Code	Births / 1,000 Women	vs State	vs National
1.	13634	3.0	50.0(-47.0)#1	53.0(-50.0)#60
2.	14821	3.0	50.0(-47.0)#2	53.0(-50.0)#64
3.	12116	3.0	50.0(-47.0)#3	53.0(-50.0)#82
4.	14001	4.0	50.0(-46.0)#4	53.0(-49.0)#90
5.	14865	4.0	50.0(-46.0)#5	53.0(-49.0)#118
6.	10038	5.0	50.0(-45.0)#6	53.0(-48.0)#136
7.	10017	5.0	50.0(-45.0)#7	53.0(-48.0)#141
8.	12210	5.0	50.0(-45.0)#8	53.0(-48.0)#147
9.	12154	5.0	50.0(-45.0)#9	53.0(-48.0)#169
10.	12137	5.0	50.0(-45.0)#10	53.0(-48.0)#179
11.	14873	5.0	50.0(-45.0)#11	53.0(-48.0)#180
12.	13830	6.0	50.0(-44.0)#12	53.0(-47.0)#226
13.	13476	6.0	50.0(-44.0)#13	53.0(-47.0)#238
14.	12070	6.0	50.0(-44.0)#14	53.0(-47.0)#243
15.	13409	6.0	50.0(-44.0)#15	53.0(-47.0)#253
16.	13755	6.0	50.0(-44.0)#16	53.0(-47.0)#265
17.	11767	7.0	50.0(-43.0)#17	53.0(-46.0)#285
18.	14530	7.0	50.0(-43.0)#18	53.0(-46.0)#291
19.	10548	7.0	50.0(-43.0)#19	53.0(-46.0)#301
20.	12106	7.0	50.0(-43.0)#20	53.0(-46.0)#324
21.	10514	8.0	50.0(-42.0)#21	53.0(-45.0)#367
22.	13431	9.0	50.0(-41.0)#22	53.0(-44.0)#528
23.	12837	9.0	50.0(-41.0)#23	53.0(-44.0)#559
24.	14836	9.0	50.0(-41.0)#24	53.0(-44.0)#562
25.	12828	10.0	50.0(-40.0)#25	53.0(-43.0)#600
26.	10579	10.0	50.0(-40.0)#26	53.0(-43.0)#603
27.	11020	10.0	50.0(-40.0)#27	53.0(-43.0)#610
28.	12523	10.0	50.0(-40.0)#28	53.0(-43.0)#651
29.	13835	10.0	50.0(-40.0)#29	53.0(-43.0)#666
30.	13802	10.0	50.0(-40.0)#30	53.0(-43.0)#673
31.	11542	11.0	50.0(-39.0)#31	53.0(-42.0)#706
32.	14031	11.0	50.0(-39.0)#32	53.0(-42.0)#723
33.	13904	11.0	50.0(-39.0)#33	53.0(-42.0)#724
34.	11363	11.0	50.0(-39.0)#34	53.0(-42.0)#737
35.	12117	11.0	50.0(-39.0)#35	53.0(-42.0)#771
36.	12993	11.0	50.0(-39.0)#36	53.0(-42.0)#789
37.	13402	11.0	50.0(-39.0)#37	53.0(-42.0)#807
38.	13842	11.0	50.0(-39.0)#38	53.0(-42.0)#824
39.	10019	12.0	50.0(-38.0)#39	53.0(-41.0)#836
40.	12182	12.0	50.0(-38.0)#40	53.0(-41.0)#849
41.	12832	12.0	50.0(-38.0)#41	53.0(-41.0)#877
42.	12885	12.0	50.0(-38.0)#42	53.0(-41.0)#891
43.	13862	12.0	50.0(-38.0)#43	53.0(-41.0)#898
44.	12912	12.0	50.0(-38.0)#44	53.0(-41.0)#931
45.	12086	12.0	50.0(-38.0)#45	53.0(-41.0)#934
46.	14550	12.0	50.0(-38.0)#46	53.0(-41.0)#944
47.	10590	13.0	50.0(-37.0)#47	53.0(-40.0)#1,011
48.	14886	13.0	50.0(-37.0)#48	53.0(-40.0)#1,016
49.	12986	13.0	50.0(-37.0)#49	53.0(-40.0)#1,028
50.	12946	13.0	50.0(-37.0)#50	53.0(-40.0)#1,036
51.	14202	13.0	50.0(-37.0)#51	53.0(-40.0)#1,048
52.	14203	13.0	50.0(-37.0)#52	53.0(-40.0)#1,066
53.	13145	13.0	50.0(-37.0)#53	53.0(-40.0)#1,081
54.	14740	13.0	50.0(-37.0)#54	53.0(-40.0)#1,096
55.	14885	13.0	50.0(-37.0)#55	53.0(-40.0)#1,113
56.	13664	13.0	50.0(-37.0)#56	53.0(-40.0)#1,122
57.	14411	14.0	50.0(-36.0)#57	53.0(-39.0)#1,148
58.	10589	14.0	50.0(-36.0)#58	53.0(-39.0)#1,165
59.	10502	14.0	50.0(-36.0)#59	53.0(-39.0)#1,171
60.	14879	14.0	50.0(-36.0)#60	53.0(-39.0)#1,214
61.	12996	14.0	50.0(-36.0)#61	53.0(-39.0)#1,219
62.	14129	14.0	50.0(-36.0)#62	53.0(-39.0)#1,244
63.	10012	15.0	50.0(-35.0)#63	53.0(-38.0)#1,297
64.	12566	15.0	50.0(-35.0)#64	53.0(-38.0)#1,316
65.	10930	15.0	50.0(-35.0)#65	53.0(-38.0)#1,320
66.	14787	15.0	50.0(-35.0)#66	53.0(-38.0)#1,358
67.	10974	15.0	50.0(-35.0)#67	53.0(-38.0)#1,371
68.	14755	15.0	50.0(-35.0)#68	53.0(-38.0)#1,387
69.	14743	15.0	50.0(-35.0)#69	53.0(-38.0)#1,405
70.	12455	15.0	50.0(-35.0)#70	53.0(-38.0)#1,415
71.	12430	15.0	50.0(-35.0)#71	53.0(-38.0)#1,433
72.	14753	15.0	50.0(-35.0)#72	53.0(-38.0)#1,447
73.	14819	15.0	50.0(-35.0)#73	53.0(-38.0)#1,459
74.	11423	16.0	50.0(-34.0)#74	53.0(-37.0)#1,481
75.	13032	16.0	50.0(-34.0)#75	53.0(-37.0)#1,501
76.	14103	16.0	50.0(-34.0)#76	53.0(-37.0)#1,505
77.	11963	16.0	50.0(-34.0)#77	53.0(-37.0)#1,519
78.	12816	16.0	50.0(-34.0)#78	53.0(-37.0)#1,543
79.	10006	16.0	50.0(-34.0)#79	53.0(-37.0)#1,557
80.	13110	16.0	50.0(-34.0)#80	53.0(-37.0)#1,580
81.	14170	16.0	50.0(-34.0)#81	53.0(-37.0)#1,585
82.	14536	16.0	50.0(-34.0)#82	53.0(-37.0)#1,631
83.	11239	17.0	50.0(-33.0)#83	53.0(-36.0)#1,668
84.	14209	17.0	50.0(-33.0)#84	53.0(-36.0)#1,696
85.	12944	17.0	50.0(-33.0)#85	53.0(-36.0)#1,729
86.	12920	17.0	50.0(-33.0)#86	53.0(-36.0)#1,760
87.	14054	17.0	50.0(-33.0)#87	53.0(-36.0)#1,778
88.	12029	17.0	50.0(-33.0)#88	53.0(-36.0)#1,790
89.	13841	17.0	50.0(-33.0)#89	53.0(-36.0)#1,804
90.	10018	18.0	50.0(-32.0)#90	53.0(-35.0)#1,865
91.	12570	18.0	50.0(-32.0)#91	53.0(-35.0)#1,876
92.	10913	18.0	50.0(-32.0)#92	53.0(-35.0)#1,890
93.	14590	18.0	50.0(-32.0)#93	53.0(-35.0)#1,892
94.	12487	18.0	50.0(-32.0)#94	53.0(-35.0)#1,904
95.	10998	18.0	50.0(-32.0)#95	53.0(-35.0)#1,908
96.	12526	18.0	50.0(-32.0)#96	53.0(-35.0)#1,909
97.	14812	18.0	50.0(-32.0)#97	53.0(-35.0)#1,912
98.	14471	18.0	50.0(-32.0)#98	53.0(-35.0)#1,924
99.	14741	18.0	50.0(-32.0)#99	53.0(-35.0)#1,947
100.	13052	18.0	50.0(-32.0)#100	53.0(-35.0)#1,949

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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 New York?

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

3.0

3.0

3.0

4.0

4.0

5.0

5.0

5.0

5.0

#10

12137

5.0

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

13634 has the Fewest Births per 1,000 Women Below Poverty Level in New York with 3.0.

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

Number of Births per 1,000 Women Below Poverty Level in New York is 50.0.

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.