	Zip Code	Births / 1,000 Women	vs State	vs National
1.	17016	1,000.0	53.0(+947)#1	53.0(+947)#2
2.	18912	1,000.0	53.0(+947)#2	53.0(+947)#24
3.	18460	1,000.0	53.0(+947)#3	53.0(+947)#25
4.	17778	889.0	53.0(+836)#4	53.0(+836)#63
5.	15662	773.0	53.0(+720)#5	53.0(+720)#71
6.	19511	750.0	53.0(+697)#6	53.0(+697)#77
7.	19435	708.0	53.0(+655)#7	53.0(+655)#86
8.	18241	652.0	53.0(+599)#8	53.0(+599)#110
9.	15490	647.0	53.0(+594)#9	53.0(+594)#112
10.	15750	615.0	53.0(+562)#10	53.0(+562)#122
11.	18817	533.0	53.0(+480)#11	53.0(+480)#153
12.	16848	513.0	53.0(+460)#12	53.0(+460)#164
13.	17010	510.0	53.0(+457)#13	53.0(+457)#165
14.	15623	472.0	53.0(+419)#14	53.0(+419)#195
15.	16211	462.0	53.0(+409)#15	53.0(+409)#207
16.	17550	455.0	53.0(+402)#16	53.0(+402)#212
17.	15007	447.0	53.0(+394)#17	53.0(+394)#216
18.	17263	420.0	53.0(+367)#18	53.0(+367)#234
19.	16937	417.0	53.0(+364)#19	53.0(+364)#242
20.	17253	379.0	53.0(+326)#20	53.0(+326)#286
21.	19456	368.0	53.0(+315)#21	53.0(+315)#307
22.	15733	357.0	53.0(+304)#22	53.0(+304)#329
23.	15347	353.0	53.0(+300)#23	53.0(+300)#338
24.	18371	335.0	53.0(+282)#24	53.0(+282)#365
25.	16036	333.0	53.0(+280)#25	53.0(+280)#370
26.	16624	333.0	53.0(+280)#26	53.0(+280)#374
27.	17748	333.0	53.0(+280)#27	53.0(+280)#375
28.	15532	333.0	53.0(+280)#28	53.0(+280)#376
29.	17729	333.0	53.0(+280)#29	53.0(+280)#377
30.	17088	321.0	53.0(+268)#30	53.0(+268)#402
31.	15018	315.0	53.0(+262)#31	53.0(+262)#412
32.	18211	308.0	53.0(+255)#32	53.0(+255)#428
33.	17037	305.0	53.0(+252)#33	53.0(+252)#439
34.	18242	292.0	53.0(+239)#34	53.0(+239)#480
35.	17064	291.0	53.0(+238)#35	53.0(+238)#482
36.	18628	286.0	53.0(+233)#36	53.0(+233)#508
37.	17266	281.0	53.0(+228)#37	53.0(+228)#520
38.	16111	279.0	53.0(+226)#38	53.0(+226)#528
39.	17235	269.0	53.0(+216)#39	53.0(+216)#566
40.	16244	267.0	53.0(+214)#40	53.0(+214)#579
41.	19405	249.0	53.0(+196)#41	53.0(+196)#671
42.	16245	243.0	53.0(+190)#42	53.0(+190)#702
43.	16665	239.0	53.0(+186)#43	53.0(+186)#723
44.	17829	238.0	53.0(+185)#44	53.0(+185)#728
45.	16263	235.0	53.0(+182)#45	53.0(+182)#743
46.	16672	233.0	53.0(+180)#46	53.0(+180)#754
47.	15364	231.0	53.0(+178)#47	53.0(+178)#763
48.	16333	229.0	53.0(+176)#48	53.0(+176)#781
49.	17731	227.0	53.0(+174)#49	53.0(+174)#794
50.	15321	225.0	53.0(+172)#50	53.0(+172)#801
51.	16133	224.0	53.0(+171)#51	53.0(+171)#808
52.	15866	212.0	53.0(+159)#52	53.0(+159)#873
53.	15051	211.0	53.0(+158)#53	53.0(+158)#881
54.	17318	207.0	53.0(+154)#54	53.0(+154)#913
55.	15340	203.0	53.0(+150)#55	53.0(+150)#945
56.	18616	203.0	53.0(+150)#56	53.0(+150)#947
57.	15928	201.0	53.0(+148)#57	53.0(+148)#967
58.	16926	201.0	53.0(+148)#58	53.0(+148)#971
59.	15744	200.0	53.0(+147)#59	53.0(+147)#992
60.	17518	197.0	53.0(+144)#60	53.0(+144)#1,016
61.	17810	194.0	53.0(+141)#61	53.0(+141)#1,046
62.	19534	186.0	53.0(+133)#62	53.0(+133)#1,146
63.	15921	184.0	53.0(+131)#63	53.0(+131)#1,177
64.	15559	183.0	53.0(+130)#64	53.0(+130)#1,182
65.	17035	180.0	53.0(+127)#65	53.0(+127)#1,214
66.	17768	180.0	53.0(+127)#66	53.0(+127)#1,217
67.	16943	180.0	53.0(+127)#67	53.0(+127)#1,219
68.	15870	179.0	53.0(+126)#68	53.0(+126)#1,226
69.	15935	177.0	53.0(+124)#69	53.0(+124)#1,250
70.	15637	177.0	53.0(+124)#70	53.0(+124)#1,252
71.	15665	177.0	53.0(+124)#71	53.0(+124)#1,256
72.	16250	172.0	53.0(+119)#72	53.0(+119)#1,342
73.	18434	171.0	53.0(+118)#73	53.0(+118)#1,346
74.	17004	168.0	53.0(+115)#74	53.0(+115)#1,397
75.	17563	168.0	53.0(+115)#75	53.0(+115)#1,398
76.	19310	167.0	53.0(+114)#76	53.0(+114)#1,420
77.	19550	167.0	53.0(+114)#77	53.0(+114)#1,428
78.	16675	167.0	53.0(+114)#78	53.0(+114)#1,453
79.	18832	166.0	53.0(+113)#79	53.0(+113)#1,463
80.	18831	163.0	53.0(+110)#80	53.0(+110)#1,499
81.	15112	162.0	53.0(+109)#81	53.0(+109)#1,516
82.	16256	162.0	53.0(+109)#82	53.0(+109)#1,519
83.	16691	162.0	53.0(+109)#83	53.0(+109)#1,528
84.	17097	161.0	53.0(+108)#84	53.0(+108)#1,540
85.	16347	160.0	53.0(+107)#85	53.0(+107)#1,553
86.	17223	160.0	53.0(+107)#86	53.0(+107)#1,565
87.	17572	159.0	53.0(+106)#87	53.0(+106)#1,567
88.	18353	158.0	53.0(+105)#88	53.0(+105)#1,586
89.	16636	155.0	53.0(+102)#89	53.0(+102)#1,651
90.	16131	155.0	53.0(+102)#90	53.0(+102)#1,652
91.	16935	152.0	53.0(+99.0)#91	53.0(+99.0)#1,709
92.	15310	152.0	53.0(+99.0)#92	53.0(+99.0)#1,719
93.	17560	151.0	53.0(+98.0)#93	53.0(+98.0)#1,721
94.	16316	151.0	53.0(+98.0)#94	53.0(+98.0)#1,723
95.	16677	150.0	53.0(+97.0)#95	53.0(+97.0)#1,759
96.	16820	149.0	53.0(+96.0)#96	53.0(+96.0)#1,772
97.	18814	147.0	53.0(+94.0)#97	53.0(+94.0)#1,829
98.	15673	146.0	53.0(+93.0)#98	53.0(+93.0)#1,839
99.	15315	146.0	53.0(+93.0)#99	53.0(+93.0)#1,845
100.	16328	146.0	53.0(+93.0)#100	53.0(+93.0)#1,849

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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 Pennsylvania?

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

1,000.0

1,000.0

1,000.0

889.0

773.0

750.0

708.0

652.0

647.0

#10

15750

615.0

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

17016 has the Most Births per 1,000 Women Below Poverty Level in Pennsylvania with 1,000.0.

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

Number of Births per 1,000 Women Below Poverty Level in Pennsylvania is 53.0.

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.