	Zip Code	Births / 1,000 Women	vs State	vs National
1.	15203	2.0	53.0 (-51.0)#1	53.0 (-51.0)#16
2.	17365	2.0	53.0 (-51.0)#2	53.0 (-51.0)#35
3.	19107	3.0	53.0 (-50.0)#3	53.0 (-50.0)#44
4.	19012	3.0	53.0 (-50.0)#4	53.0 (-50.0)#51
5.	18810	3.0	53.0 (-50.0)#5	53.0 (-50.0)#55
6.	18224	5.0	53.0 (-48.0)#6	53.0 (-48.0)#153
7.	17068	5.0	53.0 (-48.0)#7	53.0 (-48.0)#158
8.	18938	6.0	53.0 (-47.0)#8	53.0 (-47.0)#211
9.	19074	6.0	53.0 (-47.0)#9	53.0 (-47.0)#223
10.	15417	7.0	53.0 (-46.0)#10	53.0 (-46.0)#289
11.	18332	7.0	53.0 (-46.0)#11	53.0 (-46.0)#313
12.	16360	7.0	53.0 (-46.0)#12	53.0 (-46.0)#334
13.	18708	8.0	53.0 (-45.0)#13	53.0 (-45.0)#370
14.	15145	8.0	53.0 (-45.0)#14	53.0 (-45.0)#377
15.	16692	8.0	53.0 (-45.0)#15	53.0 (-45.0)#435
16.	18519	9.0	53.0 (-44.0)#16	53.0 (-44.0)#490
17.	16023	9.0	53.0 (-44.0)#17	53.0 (-44.0)#495
18.	15026	9.0	53.0 (-44.0)#18	53.0 (-44.0)#497
19.	15314	9.0	53.0 (-44.0)#19	53.0 (-44.0)#504
20.	16917	9.0	53.0 (-44.0)#20	53.0 (-44.0)#541
21.	18821	9.0	53.0 (-44.0)#21	53.0 (-44.0)#552
22.	15411	9.0	53.0 (-44.0)#22	53.0 (-44.0)#569
23.	16674	9.0	53.0 (-44.0)#23	53.0 (-44.0)#576
24.	17361	10.0	53.0 (-43.0)#24	53.0 (-43.0)#609
25.	16630	10.0	53.0 (-43.0)#25	53.0 (-43.0)#619
26.	16157	10.0	53.0 (-43.0)#26	53.0 (-43.0)#633
27.	18850	10.0	53.0 (-43.0)#27	53.0 (-43.0)#652
28.	16613	10.0	53.0 (-43.0)#28	53.0 (-43.0)#662
29.	16362	10.0	53.0 (-43.0)#29	53.0 (-43.0)#678
30.	16859	10.0	53.0 (-43.0)#30	53.0 (-43.0)#693
31.	19035	11.0	53.0 (-42.0)#31	53.0 (-42.0)#755
32.	18038	11.0	53.0 (-42.0)#32	53.0 (-42.0)#762
33.	15349	11.0	53.0 (-42.0)#33	53.0 (-42.0)#792
34.	15060	11.0	53.0 (-42.0)#34	53.0 (-42.0)#813
35.	16057	12.0	53.0 (-41.0)#35	53.0 (-41.0)#848
36.	17857	12.0	53.0 (-41.0)#36	53.0 (-41.0)#869
37.	18325	12.0	53.0 (-41.0)#37	53.0 (-41.0)#912
38.	17098	12.0	53.0 (-41.0)#38	53.0 (-41.0)#917
39.	18470	12.0	53.0 (-41.0)#39	53.0 (-41.0)#923
40.	18812	12.0	53.0 (-41.0)#40	53.0 (-41.0)#937
41.	16655	12.0	53.0 (-41.0)#41	53.0 (-41.0)#941
42.	17827	12.0	53.0 (-41.0)#42	53.0 (-41.0)#956
43.	15061	13.0	53.0 (-40.0)#43	53.0 (-40.0)#997
44.	15211	13.0	53.0 (-40.0)#44	53.0 (-40.0)#1,003
45.	15135	13.0	53.0 (-40.0)#45	53.0 (-40.0)#1,030
46.	19126	14.0	53.0 (-39.0)#46	53.0 (-39.0)#1,140
47.	15367	14.0	53.0 (-39.0)#47	53.0 (-39.0)#1,156
48.	18069	14.0	53.0 (-39.0)#48	53.0 (-39.0)#1,158
49.	16351	14.0	53.0 (-39.0)#49	53.0 (-39.0)#1,228
50.	15322	14.0	53.0 (-39.0)#50	53.0 (-39.0)#1,232
51.	15329	14.0	53.0 (-39.0)#51	53.0 (-39.0)#1,236
52.	16683	14.0	53.0 (-39.0)#52	53.0 (-39.0)#1,276
53.	19031	15.0	53.0 (-38.0)#53	53.0 (-38.0)#1,353
54.	17728	15.0	53.0 (-38.0)#54	53.0 (-38.0)#1,359
55.	17024	15.0	53.0 (-38.0)#55	53.0 (-38.0)#1,412
56.	17836	15.0	53.0 (-38.0)#56	53.0 (-38.0)#1,474
57.	19150	16.0	53.0 (-37.0)#57	53.0 (-37.0)#1,487
58.	15201	16.0	53.0 (-37.0)#58	53.0 (-37.0)#1,499
59.	15033	16.0	53.0 (-37.0)#59	53.0 (-37.0)#1,544
60.	17824	16.0	53.0 (-37.0)#60	53.0 (-37.0)#1,558
61.	15534	16.0	53.0 (-37.0)#61	53.0 (-37.0)#1,621
62.	17888	16.0	53.0 (-37.0)#62	53.0 (-37.0)#1,636
63.	18252	17.0	53.0 (-36.0)#63	53.0 (-36.0)#1,688
64.	16116	17.0	53.0 (-36.0)#64	53.0 (-36.0)#1,749
65.	16154	17.0	53.0 (-36.0)#65	53.0 (-36.0)#1,765
66.	15223	18.0	53.0 (-35.0)#66	53.0 (-35.0)#1,879
67.	15133	18.0	53.0 (-35.0)#67	53.0 (-35.0)#1,884
68.	15636	18.0	53.0 (-35.0)#68	53.0 (-35.0)#1,905
69.	15148	18.0	53.0 (-35.0)#69	53.0 (-35.0)#1,933
70.	15954	18.0	53.0 (-35.0)#70	53.0 (-35.0)#1,934
71.	17302	18.0	53.0 (-35.0)#71	53.0 (-35.0)#1,935
72.	16041	18.0	53.0 (-35.0)#72	53.0 (-35.0)#1,941
73.	18062	19.0	53.0 (-34.0)#73	53.0 (-34.0)#2,013
74.	19522	19.0	53.0 (-34.0)#74	53.0 (-34.0)#2,042
75.	15071	19.0	53.0 (-34.0)#75	53.0 (-34.0)#2,047
76.	15129	19.0	53.0 (-34.0)#76	53.0 (-34.0)#2,057
77.	16417	19.0	53.0 (-34.0)#77	53.0 (-34.0)#2,065
78.	18088	19.0	53.0 (-34.0)#78	53.0 (-34.0)#2,066
79.	17520	19.0	53.0 (-34.0)#79	53.0 (-34.0)#2,090
80.	15626	19.0	53.0 (-34.0)#80	53.0 (-34.0)#2,091
81.	15618	19.0	53.0 (-34.0)#81	53.0 (-34.0)#2,126
82.	15942	19.0	53.0 (-34.0)#82	53.0 (-34.0)#2,133
83.	16143	19.0	53.0 (-34.0)#83	53.0 (-34.0)#2,134
84.	15357	19.0	53.0 (-34.0)#84	53.0 (-34.0)#2,149
85.	19503	19.0	53.0 (-34.0)#85	53.0 (-34.0)#2,164
86.	18473	19.0	53.0 (-34.0)#86	53.0 (-34.0)#2,188
87.	15736	19.0	53.0 (-34.0)#87	53.0 (-34.0)#2,189
88.	19151	20.0	53.0 (-33.0)#88	53.0 (-33.0)#2,203
89.	19133	20.0	53.0 (-33.0)#89	53.0 (-33.0)#2,212
90.	16508	20.0	53.0 (-33.0)#90	53.0 (-33.0)#2,233
91.	17963	20.0	53.0 (-33.0)#91	53.0 (-33.0)#2,255
92.	17363	20.0	53.0 (-33.0)#92	53.0 (-33.0)#2,256
93.	15478	20.0	53.0 (-33.0)#93	53.0 (-33.0)#2,274
94.	15901	20.0	53.0 (-33.0)#94	53.0 (-33.0)#2,309
95.	17026	20.0	53.0 (-33.0)#95	53.0 (-33.0)#2,310
96.	17967	20.0	53.0 (-33.0)#96	53.0 (-33.0)#2,333
97.	16627	20.0	53.0 (-33.0)#97	53.0 (-33.0)#2,342
98.	15344	20.0	53.0 (-33.0)#98	53.0 (-33.0)#2,357
99.	17959	20.0	53.0 (-33.0)#99	53.0 (-33.0)#2,368
100.	16634	20.0	53.0 (-33.0)#100	53.0 (-33.0)#2,420

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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 Pennsylvania?

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

2.0

2.0

3.0

3.0

3.0

5.0

5.0

6.0

6.0

#10

15417

7.0

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

15203 has the Fewest Births per 1,000 Women Below Poverty Level in Pennsylvania with 2.0.

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.