	Zip Code	Births / 1,000 Women	vs State	vs National
1.	15007	1,000.0	31.0 (+969)#1	32.0 (+968)#4
2.	19511	750.0	31.0 (+719)#2	32.0 (+718)#43
3.	17064	683.0	31.0 (+652)#3	32.0 (+651)#53
4.	18451	400.0	31.0 (+369)#4	32.0 (+368)#133
5.	15051	400.0	31.0 (+369)#5	32.0 (+368)#135
6.	17829	400.0	31.0 (+369)#6	32.0 (+368)#136
7.	17223	394.0	31.0 (+363)#7	32.0 (+362)#138
8.	15490	379.0	31.0 (+348)#8	32.0 (+347)#146
9.	16347	377.0	31.0 (+346)#9	32.0 (+345)#147
10.	16263	372.0	31.0 (+341)#10	32.0 (+340)#151
11.	16036	368.0	31.0 (+337)#11	32.0 (+336)#153
12.	16672	364.0	31.0 (+333)#12	32.0 (+332)#159
13.	15733	357.0	31.0 (+326)#13	32.0 (+325)#165
14.	16624	333.0	31.0 (+302)#14	32.0 (+301)#190
15.	15559	316.0	31.0 (+285)#15	32.0 (+284)#206
16.	18347	271.0	31.0 (+240)#16	32.0 (+239)#272
17.	18832	268.0	31.0 (+237)#17	32.0 (+236)#278
18.	15368	267.0	31.0 (+236)#18	32.0 (+235)#281
19.	18831	266.0	31.0 (+235)#19	32.0 (+234)#282
20.	17080	250.0	31.0 (+219)#20	32.0 (+218)#317
21.	18462	243.0	31.0 (+212)#21	32.0 (+211)#345
22.	17253	238.0	31.0 (+207)#22	32.0 (+206)#358
23.	18930	222.0	31.0 (+191)#23	32.0 (+190)#391
24.	16943	214.0	31.0 (+183)#24	32.0 (+182)#418
25.	16845	213.0	31.0 (+182)#25	32.0 (+181)#421
26.	15870	211.0	31.0 (+180)#26	32.0 (+179)#427
27.	18628	200.0	31.0 (+169)#27	32.0 (+168)#483
28.	17037	187.0	31.0 (+156)#28	32.0 (+155)#545
29.	15739	179.0	31.0 (+148)#29	32.0 (+147)#583
30.	17535	178.0	31.0 (+147)#30	32.0 (+146)#587
31.	15928	178.0	31.0 (+147)#31	32.0 (+146)#588
32.	16827	174.0	31.0 (+143)#32	32.0 (+142)#622
33.	16820	172.0	31.0 (+141)#33	32.0 (+140)#638
34.	15921	172.0	31.0 (+141)#34	32.0 (+140)#640
35.	16882	170.0	31.0 (+139)#35	32.0 (+138)#653
36.	15076	168.0	31.0 (+137)#36	32.0 (+136)#657
37.	16640	163.0	31.0 (+132)#37	32.0 (+131)#702
38.	15944	158.0	31.0 (+127)#38	32.0 (+126)#730
39.	18846	157.0	31.0 (+126)#39	32.0 (+125)#748
40.	18824	155.0	31.0 (+124)#40	32.0 (+123)#771
41.	19310	150.0	31.0 (+119)#41	32.0 (+118)#811
42.	18334	149.0	31.0 (+118)#42	32.0 (+117)#816
43.	19025	144.0	31.0 (+113)#43	32.0 (+112)#858
44.	16638	143.0	31.0 (+112)#44	32.0 (+111)#879
45.	19032	137.0	31.0 (+106)#45	32.0 (+105)#926
46.	15673	137.0	31.0 (+106)#46	32.0 (+105)#933
47.	15935	134.0	31.0 (+103)#47	32.0 (+102)#969
48.	16926	130.0	31.0 (+99.0)#48	32.0 (+98.0)#1,021
49.	16256	129.0	31.0 (+98.0)#49	32.0 (+97.0)#1,037
50.	15232	127.0	31.0 (+96.0)#50	32.0 (+95.0)#1,055
51.	16255	127.0	31.0 (+96.0)#51	32.0 (+95.0)#1,064
52.	15943	125.0	31.0 (+94.0)#52	32.0 (+93.0)#1,091
53.	17094	125.0	31.0 (+94.0)#53	32.0 (+93.0)#1,094
54.	16938	125.0	31.0 (+94.0)#54	32.0 (+93.0)#1,096
55.	17563	123.0	31.0 (+92.0)#55	32.0 (+91.0)#1,118
56.	18034	120.0	31.0 (+89.0)#56	32.0 (+88.0)#1,156
57.	16844	118.0	31.0 (+87.0)#57	32.0 (+86.0)#1,190
58.	18452	117.0	31.0 (+86.0)#58	32.0 (+85.0)#1,208
59.	15610	117.0	31.0 (+86.0)#59	32.0 (+85.0)#1,212
60.	17557	113.0	31.0 (+82.0)#60	32.0 (+81.0)#1,270
61.	18214	113.0	31.0 (+82.0)#61	32.0 (+81.0)#1,279
62.	17035	113.0	31.0 (+82.0)#62	32.0 (+81.0)#1,284
63.	19085	111.0	31.0 (+80.0)#63	32.0 (+79.0)#1,302
64.	17747	110.0	31.0 (+79.0)#64	32.0 (+78.0)#1,330
65.	15046	110.0	31.0 (+79.0)#65	32.0 (+78.0)#1,332
66.	17007	109.0	31.0 (+78.0)#66	32.0 (+77.0)#1,341
67.	16051	109.0	31.0 (+78.0)#67	32.0 (+77.0)#1,345
68.	18073	108.0	31.0 (+77.0)#68	32.0 (+76.0)#1,353
69.	15050	107.0	31.0 (+76.0)#69	32.0 (+75.0)#1,383
70.	15027	107.0	31.0 (+76.0)#70	32.0 (+75.0)#1,384
71.	17921	106.0	31.0 (+75.0)#71	32.0 (+74.0)#1,395
72.	16738	106.0	31.0 (+75.0)#72	32.0 (+74.0)#1,401
73.	18302	105.0	31.0 (+74.0)#73	32.0 (+73.0)#1,410
74.	19539	104.0	31.0 (+73.0)#74	32.0 (+72.0)#1,446
75.	18833	104.0	31.0 (+73.0)#75	32.0 (+72.0)#1,449
76.	17976	103.0	31.0 (+72.0)#76	32.0 (+71.0)#1,461
77.	18829	103.0	31.0 (+72.0)#77	32.0 (+71.0)#1,479
78.	16858	100.0	31.0 (+69.0)#78	32.0 (+68.0)#1,540
79.	18837	100.0	31.0 (+69.0)#79	32.0 (+68.0)#1,543
80.	19358	100.0	31.0 (+69.0)#80	32.0 (+68.0)#1,552
81.	18326	99.0	31.0 (+68.0)#81	32.0 (+67.0)#1,572
82.	17505	99.0	31.0 (+68.0)#82	32.0 (+67.0)#1,577
83.	17244	97.0	31.0 (+66.0)#83	32.0 (+65.0)#1,629
84.	17572	96.0	31.0 (+65.0)#84	32.0 (+64.0)#1,654
85.	18354	96.0	31.0 (+65.0)#85	32.0 (+64.0)#1,668
86.	17034	95.0	31.0 (+64.0)#86	32.0 (+63.0)#1,683
87.	19401	94.0	31.0 (+63.0)#87	32.0 (+62.0)#1,700
88.	19096	93.0	31.0 (+62.0)#88	32.0 (+61.0)#1,735
89.	18058	93.0	31.0 (+62.0)#89	32.0 (+61.0)#1,737
90.	16121	92.0	31.0 (+61.0)#90	32.0 (+60.0)#1,770
91.	15542	91.0	31.0 (+60.0)#91	32.0 (+59.0)#1,820
92.	16647	91.0	31.0 (+60.0)#92	32.0 (+59.0)#1,823
93.	17777	90.0	31.0 (+59.0)#93	32.0 (+58.0)#1,841
94.	18834	89.0	31.0 (+58.0)#94	32.0 (+57.0)#1,876
95.	15688	88.0	31.0 (+57.0)#95	32.0 (+56.0)#1,923
96.	17030	87.0	31.0 (+56.0)#96	32.0 (+55.0)#1,958
97.	16441	86.0	31.0 (+55.0)#97	32.0 (+54.0)#1,980
98.	15946	85.0	31.0 (+54.0)#98	32.0 (+53.0)#2,019
99.	16111	85.0	31.0 (+54.0)#99	32.0 (+53.0)#2,039
100.	15377	85.0	31.0 (+54.0)#100	32.0 (+53.0)#2,041

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Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Pennsylvania?

Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Pennsylvania are:

1,000.0

750.0

683.0

400.0

400.0

400.0

394.0

379.0

377.0

#10

16263

372.0

What zip code has the Most Births per 1,000 Women Over the Age of 35 in Pennsylvania?

15007 has the Most Births per 1,000 Women Over the Age of 35 in Pennsylvania with 1,000.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Pennsylvania?

Number of Births per 1,000 Women Over the Age of 35 in Pennsylvania is 31.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?

Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.