	Zip Code	Births / 1,000 Women	vs State	vs National
1.	12769	1,000.0	50.0(+950)#1	53.0(+947)#9
2.	12998	1,000.0	50.0(+950)#2	53.0(+947)#13
3.	12483	1,000.0	50.0(+950)#3	53.0(+947)#49
4.	13643	1,000.0	50.0(+950)#4	53.0(+947)#52
5.	12161	1,000.0	50.0(+950)#5	53.0(+947)#54
6.	12742	724.0	50.0(+674)#6	53.0(+671)#82
7.	12512	667.0	50.0(+617)#7	53.0(+614)#101
8.	13472	656.0	50.0(+606)#8	53.0(+603)#107
9.	12420	634.0	50.0(+584)#9	53.0(+581)#114
10.	14026	614.0	50.0(+564)#10	53.0(+561)#125
11.	13786	609.0	50.0(+559)#11	53.0(+556)#128
12.	12952	609.0	50.0(+559)#12	53.0(+556)#129
13.	13621	591.0	50.0(+541)#13	53.0(+538)#133
14.	12517	553.0	50.0(+503)#14	53.0(+500)#145
15.	12922	500.0	50.0(+450)#15	53.0(+447)#178
16.	12460	478.0	50.0(+428)#16	53.0(+425)#192
17.	12960	474.0	50.0(+424)#17	53.0(+421)#193
18.	14480	438.0	50.0(+388)#18	53.0(+385)#225
19.	12036	418.0	50.0(+368)#19	53.0(+365)#239
20.	13436	400.0	50.0(+350)#20	53.0(+347)#261
21.	14478	385.0	50.0(+335)#21	53.0(+332)#278
22.	12989	378.0	50.0(+328)#22	53.0(+325)#287
23.	13832	374.0	50.0(+324)#23	53.0(+321)#299
24.	13756	344.0	50.0(+294)#24	53.0(+291)#349
25.	12469	341.0	50.0(+291)#25	53.0(+288)#354
26.	12751	335.0	50.0(+285)#26	53.0(+282)#364
27.	12139	333.0	50.0(+283)#27	53.0(+280)#372
28.	12160	331.0	50.0(+281)#28	53.0(+278)#390
29.	14614	317.0	50.0(+267)#29	53.0(+264)#405
30.	13864	300.0	50.0(+250)#30	53.0(+247)#450
31.	12975	300.0	50.0(+250)#31	53.0(+247)#455
32.	11430	299.0	50.0(+249)#32	53.0(+246)#460
33.	12190	294.0	50.0(+244)#33	53.0(+241)#473
34.	12932	290.0	50.0(+240)#34	53.0(+237)#486
35.	13020	286.0	50.0(+236)#35	53.0(+233)#510
36.	12732	274.0	50.0(+224)#36	53.0(+221)#548
37.	13455	273.0	50.0(+223)#37	53.0(+220)#555
38.	13355	265.0	50.0(+215)#38	53.0(+212)#585
39.	14864	262.0	50.0(+212)#39	53.0(+209)#599
40.	12485	261.0	50.0(+211)#40	53.0(+208)#602
41.	13687	256.0	50.0(+206)#41	53.0(+203)#629
42.	12852	250.0	50.0(+200)#42	53.0(+197)#650
43.	12165	250.0	50.0(+200)#43	53.0(+197)#657
44.	12729	245.0	50.0(+195)#44	53.0(+192)#689
45.	13684	245.0	50.0(+195)#45	53.0(+192)#691
46.	13153	243.0	50.0(+193)#46	53.0(+190)#701
47.	13488	241.0	50.0(+191)#47	53.0(+188)#710
48.	12726	240.0	50.0(+190)#48	53.0(+187)#713
49.	13670	231.0	50.0(+181)#49	53.0(+178)#766
50.	12978	229.0	50.0(+179)#50	53.0(+176)#780
51.	11804	226.0	50.0(+176)#51	53.0(+173)#796
52.	13328	224.0	50.0(+174)#52	53.0(+171)#809
53.	14069	221.0	50.0(+171)#53	53.0(+168)#837
54.	13655	210.0	50.0(+160)#54	53.0(+157)#884
55.	14555	210.0	50.0(+160)#55	53.0(+157)#886
56.	13838	208.0	50.0(+158)#56	53.0(+155)#896
57.	12151	208.0	50.0(+158)#57	53.0(+155)#902
58.	12740	203.0	50.0(+153)#58	53.0(+150)#944
59.	10952	200.0	50.0(+150)#59	53.0(+147)#972
60.	13103	200.0	50.0(+150)#60	53.0(+147)#983
61.	13335	199.0	50.0(+149)#61	53.0(+146)#1,001
62.	13694	199.0	50.0(+149)#62	53.0(+146)#1,002
63.	13363	198.0	50.0(+148)#63	53.0(+145)#1,006
64.	13603	197.0	50.0(+147)#64	53.0(+144)#1,012
65.	14591	193.0	50.0(+143)#65	53.0(+140)#1,066
66.	12125	187.0	50.0(+137)#66	53.0(+134)#1,136
67.	12824	186.0	50.0(+136)#67	53.0(+133)#1,151
68.	14842	185.0	50.0(+135)#68	53.0(+132)#1,165
69.	13144	182.0	50.0(+132)#69	53.0(+129)#1,192
70.	12409	182.0	50.0(+132)#70	53.0(+129)#1,194
71.	13633	180.0	50.0(+130)#71	53.0(+127)#1,221
72.	11980	178.0	50.0(+128)#72	53.0(+125)#1,241
73.	11934	177.0	50.0(+127)#73	53.0(+124)#1,248
74.	12565	177.0	50.0(+127)#74	53.0(+124)#1,254
75.	13361	177.0	50.0(+127)#75	53.0(+124)#1,260
76.	13334	176.0	50.0(+126)#76	53.0(+123)#1,268
77.	13450	176.0	50.0(+126)#77	53.0(+123)#1,273
78.	13679	175.0	50.0(+125)#78	53.0(+122)#1,284
79.	13628	175.0	50.0(+125)#79	53.0(+122)#1,288
80.	11932	174.0	50.0(+124)#80	53.0(+121)#1,301
81.	10004	171.0	50.0(+121)#81	53.0(+118)#1,345
82.	12873	171.0	50.0(+121)#82	53.0(+118)#1,355
83.	14726	170.0	50.0(+120)#83	53.0(+117)#1,365
84.	14723	170.0	50.0(+120)#84	53.0(+117)#1,370
85.	12779	169.0	50.0(+119)#85	53.0(+116)#1,380
86.	12765	169.0	50.0(+119)#86	53.0(+116)#1,386
87.	11952	166.0	50.0(+116)#87	53.0(+113)#1,459
88.	14040	166.0	50.0(+116)#88	53.0(+113)#1,464
89.	14860	162.0	50.0(+112)#89	53.0(+109)#1,525
90.	14416	161.0	50.0(+111)#90	53.0(+108)#1,531
91.	14716	160.0	50.0(+110)#91	53.0(+107)#1,549
92.	14435	160.0	50.0(+110)#92	53.0(+107)#1,550
93.	13796	160.0	50.0(+110)#93	53.0(+107)#1,556
94.	12183	159.0	50.0(+109)#94	53.0(+106)#1,569
95.	14506	159.0	50.0(+109)#95	53.0(+106)#1,578
96.	12581	157.0	50.0(+107)#96	53.0(+104)#1,614
97.	14033	157.0	50.0(+107)#97	53.0(+104)#1,618
98.	12985	156.0	50.0(+106)#98	53.0(+103)#1,635
99.	12531	153.0	50.0(+103)#99	53.0(+100.0)#1,683
100.	12838	153.0	50.0(+103)#100	53.0(+100.0)#1,690

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Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York?

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

1,000.0

1,000.0

1,000.0

1,000.0

1,000.0

724.0

667.0

656.0

634.0

#10

14026

614.0

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

12769 has the Most Births per 1,000 Women Below Poverty Level in New York with 1,000.0.

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.