	Zip Code	Births / 1,000 Women	vs State	vs National
1.	19134	1.0	8.0 (-7.00)#1	10.0 (-9.00)#6
2.	17545	2.0	8.0 (-6.00)#2	10.0 (-8.00)#77
3.	19129	2.0	8.0 (-6.00)#3	10.0 (-8.00)#83
4.	17042	3.0	8.0 (-5.00)#4	10.0 (-7.00)#118
5.	19320	4.0	8.0 (-4.00)#5	10.0 (-6.00)#178
6.	15902	4.0	8.0 (-4.00)#6	10.0 (-6.00)#223
7.	18252	4.0	8.0 (-4.00)#7	10.0 (-6.00)#224
8.	18103	5.0	8.0 (-3.00)#8	10.0 (-5.00)#257
9.	19139	5.0	8.0 (-3.00)#9	10.0 (-5.00)#261
10.	17057	5.0	8.0 (-3.00)#10	10.0 (-5.00)#285
11.	17601	6.0	8.0 (-2.00)#11	10.0 (-4.00)#316
12.	17901	6.0	8.0 (-2.00)#12	10.0 (-4.00)#343
13.	16301	6.0	8.0 (-2.00)#13	10.0 (-4.00)#356
14.	17820	6.0	8.0 (-2.00)#14	10.0 (-4.00)#364
15.	15642	8.0	8.0 (=0.000)#15	10.0 (-2.00)#463
16.	17268	9.0	8.0 (+1.000)#16	10.0 (-1.000)#560
17.	15650	9.0	8.0 (+1.000)#17	10.0 (-1.000)#561
18.	15210	9.0	8.0 (+1.000)#18	10.0 (-1.000)#566
19.	17350	9.0	8.0 (+1.000)#19	10.0 (-1.000)#583
20.	16137	9.0	8.0 (+1.000)#20	10.0 (-1.000)#585
21.	17844	10.0	8.0 (+2.00)#21	10.0 (=0.000)#653
22.	15851	10.0	8.0 (+2.00)#22	10.0 (=0.000)#654
23.	16142	10.0	8.0 (+2.00)#23	10.0 (=0.000)#656
24.	19602	11.0	8.0 (+3.00)#24	10.0 (+1.000)#710
25.	16323	11.0	8.0 (+3.00)#25	10.0 (+1.000)#713
26.	17756	11.0	8.0 (+3.00)#26	10.0 (+1.000)#715
27.	19507	11.0	8.0 (+3.00)#27	10.0 (+1.000)#726
28.	19121	12.0	8.0 (+4.00)#28	10.0 (+2.00)#756
29.	15235	12.0	8.0 (+4.00)#29	10.0 (+2.00)#764
30.	19390	12.0	8.0 (+4.00)#30	10.0 (+2.00)#788
31.	17403	13.0	8.0 (+5.00)#31	10.0 (+3.00)#822
32.	18634	13.0	8.0 (+5.00)#32	10.0 (+3.00)#860
33.	16901	13.0	8.0 (+5.00)#33	10.0 (+3.00)#865
34.	19605	14.0	8.0 (+6.00)#34	10.0 (+4.00)#924
35.	18020	15.0	8.0 (+7.00)#35	10.0 (+5.00)#992
36.	18470	16.0	8.0 (+8.00)#36	10.0 (+6.00)#1,070
37.	19111	17.0	8.0 (+9.00)#37	10.0 (+7.00)#1,072
38.	17201	18.0	8.0 (+10.00)#38	10.0 (+8.00)#1,171
39.	16601	20.0	8.0 (+12.0)#39	10.0 (+10.00)#1,292
40.	17046	20.0	8.0 (+12.0)#40	10.0 (+10.00)#1,294
41.	19149	21.0	8.0 (+13.0)#41	10.0 (+11.0)#1,329
42.	16510	22.0	8.0 (+14.0)#42	10.0 (+12.0)#1,422
43.	19023	23.0	8.0 (+15.0)#43	10.0 (+13.0)#1,483
44.	17067	23.0	8.0 (+15.0)#44	10.0 (+13.0)#1,491
45.	15110	23.0	8.0 (+15.0)#45	10.0 (+13.0)#1,501
46.	16134	23.0	8.0 (+15.0)#46	10.0 (+13.0)#1,503
47.	17967	23.0	8.0 (+15.0)#47	10.0 (+13.0)#1,505
48.	16314	24.0	8.0 (+16.0)#48	10.0 (+14.0)#1,548
49.	16156	24.0	8.0 (+16.0)#49	10.0 (+14.0)#1,554
50.	19124	25.0	8.0 (+17.0)#50	10.0 (+15.0)#1,565
51.	17602	25.0	8.0 (+17.0)#51	10.0 (+15.0)#1,571
52.	19122	25.0	8.0 (+17.0)#52	10.0 (+15.0)#1,598
53.	17814	25.0	8.0 (+17.0)#53	10.0 (+15.0)#1,618
54.	17047	25.0	8.0 (+17.0)#54	10.0 (+15.0)#1,620
55.	19120	26.0	8.0 (+18.0)#55	10.0 (+16.0)#1,628
56.	16037	26.0	8.0 (+18.0)#56	10.0 (+16.0)#1,664
57.	15486	26.0	8.0 (+18.0)#57	10.0 (+16.0)#1,668
58.	18702	27.0	8.0 (+19.0)#58	10.0 (+17.0)#1,677
59.	19056	28.0	8.0 (+20.0)#59	10.0 (+18.0)#1,746
60.	18847	29.0	8.0 (+21.0)#60	10.0 (+19.0)#1,798
61.	16950	29.0	8.0 (+21.0)#61	10.0 (+19.0)#1,799
62.	17702	30.0	8.0 (+22.0)#62	10.0 (+20.0)#1,839
63.	17264	30.0	8.0 (+22.0)#63	10.0 (+20.0)#1,845
64.	16001	31.0	8.0 (+23.0)#64	10.0 (+21.0)#1,861
65.	19154	31.0	8.0 (+23.0)#65	10.0 (+21.0)#1,866
66.	16652	31.0	8.0 (+23.0)#66	10.0 (+21.0)#1,886
67.	19540	31.0	8.0 (+23.0)#67	10.0 (+21.0)#1,894
68.	16354	31.0	8.0 (+23.0)#68	10.0 (+21.0)#1,896
69.	18951	32.0	8.0 (+24.0)#69	10.0 (+22.0)#1,913
70.	16662	32.0	8.0 (+24.0)#70	10.0 (+22.0)#1,943
71.	17040	32.0	8.0 (+24.0)#71	10.0 (+22.0)#1,946
72.	16925	33.0	8.0 (+25.0)#72	10.0 (+23.0)#1,977
73.	16259	33.0	8.0 (+25.0)#73	10.0 (+23.0)#1,980
74.	17058	33.0	8.0 (+25.0)#74	10.0 (+23.0)#1,982
75.	15068	34.0	8.0 (+26.0)#75	10.0 (+24.0)#1,992
76.	18052	37.0	8.0 (+29.0)#76	10.0 (+27.0)#2,098
77.	19007	37.0	8.0 (+29.0)#77	10.0 (+27.0)#2,111
78.	16503	37.0	8.0 (+29.0)#78	10.0 (+27.0)#2,118
79.	15926	37.0	8.0 (+29.0)#79	10.0 (+27.0)#2,132
80.	19606	38.0	8.0 (+30.0)#80	10.0 (+28.0)#2,142
81.	19132	38.0	8.0 (+30.0)#81	10.0 (+28.0)#2,143
82.	17368	38.0	8.0 (+30.0)#82	10.0 (+28.0)#2,165
83.	17366	39.0	8.0 (+31.0)#83	10.0 (+29.0)#2,186
84.	19140	41.0	8.0 (+33.0)#84	10.0 (+31.0)#2,223
85.	16101	41.0	8.0 (+33.0)#85	10.0 (+31.0)#2,234
86.	15961	42.0	8.0 (+34.0)#86	10.0 (+32.0)#2,293
87.	18505	43.0	8.0 (+35.0)#87	10.0 (+33.0)#2,306
88.	15219	43.0	8.0 (+35.0)#88	10.0 (+33.0)#2,308
89.	16262	43.0	8.0 (+35.0)#89	10.0 (+33.0)#2,311
90.	19464	44.0	8.0 (+36.0)#90	10.0 (+34.0)#2,320
91.	19601	44.0	8.0 (+36.0)#91	10.0 (+34.0)#2,325
92.	17512	44.0	8.0 (+36.0)#92	10.0 (+34.0)#2,337
93.	18444	45.0	8.0 (+37.0)#93	10.0 (+35.0)#2,375
94.	17044	46.0	8.0 (+38.0)#94	10.0 (+36.0)#2,392
95.	16201	46.0	8.0 (+38.0)#95	10.0 (+36.0)#2,394
96.	17053	51.0	8.0 (+43.0)#96	10.0 (+41.0)#2,527
97.	15956	53.0	8.0 (+45.0)#97	10.0 (+43.0)#2,575
98.	18106	54.0	8.0 (+46.0)#98	10.0 (+44.0)#2,601
99.	16133	54.0	8.0 (+46.0)#99	10.0 (+44.0)#2,605
100.	17313	58.0	8.0 (+50.0)#100	10.0 (+48.0)#2,678

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Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Teenage Women Under the Age of 20 in Pennsylvania?

Top 10 Zip Codes with the Fewest Births per 1,000 Teenage Women Under the Age of 20 in Pennsylvania are:

1.0

2.0

2.0

3.0

4.0

4.0

4.0

5.0

5.0

#10

17057

5.0

What zip code has the Fewest Births per 1,000 Teenage Women Under the Age of 20 in Pennsylvania?

19134 has the Fewest Births per 1,000 Teenage Women Under the Age of 20 in Pennsylvania with 1.0.

What is the Number of Births per 1,000 Teenage Women Under the Age of 20 in the State of Pennsylvania?

Number of Births per 1,000 Teenage Women Under the Age of 20 in Pennsylvania is 8.0.

What is the Number of Births per 1,000 Teenage Women Under the Age of 20 in the United States?

Number of Births per 1,000 Teenage Women Under the Age of 20 in the United States is 10.0.