Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Pennsylvania [ 201 - 300 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
201.	15868	58.0	31.0(+27.0)#201	32.0(+26.0)#3,938
202.	15778	58.0	31.0(+27.0)#202	32.0(+26.0)#3,949
203.	19403	57.0	31.0(+26.0)#203	32.0(+25.0)#3,957
204.	19010	57.0	31.0(+26.0)#204	32.0(+25.0)#3,989
205.	16028	57.0	31.0(+26.0)#205	32.0(+25.0)#4,032
206.	15551	57.0	31.0(+26.0)#206	32.0(+25.0)#4,058
207.	18966	56.0	31.0(+25.0)#207	32.0(+24.0)#4,076
208.	19087	56.0	31.0(+25.0)#208	32.0(+24.0)#4,080
209.	19040	56.0	31.0(+25.0)#209	32.0(+24.0)#4,102
210.	17821	56.0	31.0(+25.0)#210	32.0(+24.0)#4,107
211.	19057	56.0	31.0(+25.0)#211	32.0(+24.0)#4,109
212.	19343	56.0	31.0(+25.0)#212	32.0(+24.0)#4,134
213.	19301	56.0	31.0(+25.0)#213	32.0(+24.0)#4,135
214.	17765	56.0	31.0(+25.0)#214	32.0(+24.0)#4,174
215.	17601	55.0	31.0(+24.0)#215	32.0(+23.0)#4,194
216.	17050	55.0	31.0(+24.0)#216	32.0(+23.0)#4,201
217.	19078	55.0	31.0(+24.0)#217	32.0(+23.0)#4,257
218.	19041	55.0	31.0(+24.0)#218	32.0(+23.0)#4,277
219.	18445	55.0	31.0(+24.0)#219	32.0(+23.0)#4,297
220.	18045	54.0	31.0(+23.0)#220	32.0(+22.0)#4,342
221.	18706	54.0	31.0(+23.0)#221	32.0(+22.0)#4,360
222.	19462	54.0	31.0(+23.0)#222	32.0(+22.0)#4,361
223.	16511	54.0	31.0(+23.0)#223	32.0(+22.0)#4,368
224.	18644	54.0	31.0(+23.0)#224	32.0(+22.0)#4,383
225.	19066	54.0	31.0(+23.0)#225	32.0(+22.0)#4,390
226.	15774	54.0	31.0(+23.0)#226	32.0(+22.0)#4,405
227.	17830	54.0	31.0(+23.0)#227	32.0(+22.0)#4,407
228.	18632	54.0	31.0(+23.0)#228	32.0(+22.0)#4,428
229.	19146	53.0	31.0(+22.0)#229	32.0(+21.0)#4,444
230.	15227	53.0	31.0(+22.0)#230	32.0(+21.0)#4,456
231.	15143	53.0	31.0(+22.0)#231	32.0(+21.0)#4,471
232.	19342	53.0	31.0(+22.0)#232	32.0(+21.0)#4,476
233.	19605	53.0	31.0(+22.0)#233	32.0(+21.0)#4,477
234.	15851	53.0	31.0(+22.0)#234	32.0(+21.0)#4,516
235.	18636	53.0	31.0(+22.0)#235	32.0(+21.0)#4,546
236.	16823	52.0	31.0(+21.0)#236	32.0(+20.0)#4,601
237.	16509	52.0	31.0(+21.0)#237	32.0(+20.0)#4,603
238.	19014	52.0	31.0(+21.0)#238	32.0(+20.0)#4,617
239.	19428	52.0	31.0(+21.0)#239	32.0(+20.0)#4,619
240.	19027	52.0	31.0(+21.0)#240	32.0(+20.0)#4,622
241.	17090	52.0	31.0(+21.0)#241	32.0(+20.0)#4,654
242.	17344	52.0	31.0(+21.0)#242	32.0(+20.0)#4,664
243.	17864	52.0	31.0(+21.0)#243	32.0(+20.0)#4,669
244.	18077	52.0	31.0(+21.0)#244	32.0(+20.0)#4,670
245.	17602	51.0	31.0(+20.0)#245	32.0(+19.0)#4,696
246.	15202	51.0	31.0(+20.0)#246	32.0(+19.0)#4,751
247.	18013	51.0	31.0(+20.0)#247	32.0(+19.0)#4,755
248.	16143	51.0	31.0(+20.0)#248	32.0(+19.0)#4,801
249.	19047	50.0	31.0(+19.0)#249	32.0(+18.0)#4,851
250.	19438	50.0	31.0(+19.0)#250	32.0(+18.0)#4,875
251.	16148	50.0	31.0(+19.0)#251	32.0(+18.0)#4,905
252.	18255	50.0	31.0(+19.0)#252	32.0(+18.0)#4,946
253.	16421	50.0	31.0(+19.0)#253	32.0(+18.0)#4,957
254.	19335	49.0	31.0(+18.0)#254	32.0(+17.0)#5,005
255.	19145	49.0	31.0(+18.0)#255	32.0(+17.0)#5,013
256.	19026	49.0	31.0(+18.0)#256	32.0(+17.0)#5,031
257.	16510	49.0	31.0(+18.0)#257	32.0(+17.0)#5,056
258.	19348	49.0	31.0(+18.0)#258	32.0(+17.0)#5,058
259.	15241	49.0	31.0(+18.0)#259	32.0(+17.0)#5,064
260.	15120	49.0	31.0(+18.0)#260	32.0(+17.0)#5,078
261.	16201	49.0	31.0(+18.0)#261	32.0(+17.0)#5,084
262.	15084	49.0	31.0(+18.0)#262	32.0(+17.0)#5,096
263.	18848	49.0	31.0(+18.0)#263	32.0(+17.0)#5,101
264.	17102	49.0	31.0(+18.0)#264	32.0(+17.0)#5,103
265.	17555	49.0	31.0(+18.0)#265	32.0(+17.0)#5,105
266.	16037	49.0	31.0(+18.0)#266	32.0(+17.0)#5,115
267.	17856	49.0	31.0(+18.0)#267	32.0(+17.0)#5,130
268.	17859	49.0	31.0(+18.0)#268	32.0(+17.0)#5,132
269.	19123	48.0	31.0(+17.0)#269	32.0(+16.0)#5,222
270.	17961	48.0	31.0(+17.0)#270	32.0(+16.0)#5,262
271.	16142	48.0	31.0(+17.0)#271	32.0(+16.0)#5,270
272.	18336	48.0	31.0(+17.0)#272	32.0(+16.0)#5,275
273.	16210	48.0	31.0(+17.0)#273	32.0(+16.0)#5,312
274.	19132	47.0	31.0(+16.0)#274	32.0(+15.0)#5,352
275.	19122	47.0	31.0(+16.0)#275	32.0(+15.0)#5,370
276.	19525	47.0	31.0(+16.0)#276	32.0(+15.0)#5,392
277.	17566	47.0	31.0(+16.0)#277	32.0(+15.0)#5,406
278.	15207	47.0	31.0(+16.0)#278	32.0(+15.0)#5,413
279.	17363	47.0	31.0(+16.0)#279	32.0(+15.0)#5,418
280.	18518	47.0	31.0(+16.0)#280	32.0(+15.0)#5,421
281.	19075	47.0	31.0(+16.0)#281	32.0(+15.0)#5,424
282.	17569	47.0	31.0(+16.0)#282	32.0(+15.0)#5,427
283.	15089	47.0	31.0(+16.0)#283	32.0(+15.0)#5,432
284.	17062	47.0	31.0(+16.0)#284	32.0(+15.0)#5,444
285.	16053	47.0	31.0(+16.0)#285	32.0(+15.0)#5,448
286.	16133	47.0	31.0(+16.0)#286	32.0(+15.0)#5,464
287.	15675	47.0	31.0(+16.0)#287	32.0(+15.0)#5,465
288.	17978	47.0	31.0(+16.0)#288	32.0(+15.0)#5,472
289.	19124	46.0	31.0(+15.0)#289	32.0(+14.0)#5,481
290.	15237	46.0	31.0(+15.0)#290	32.0(+14.0)#5,504
291.	17042	46.0	31.0(+15.0)#291	32.0(+14.0)#5,514
292.	17015	46.0	31.0(+15.0)#292	32.0(+14.0)#5,549
293.	17401	46.0	31.0(+15.0)#293	32.0(+14.0)#5,564
294.	16648	46.0	31.0(+15.0)#294	32.0(+14.0)#5,577
295.	19036	46.0	31.0(+15.0)#295	32.0(+14.0)#5,581
296.	19311	46.0	31.0(+15.0)#296	32.0(+14.0)#5,585
297.	19034	46.0	31.0(+15.0)#297	32.0(+14.0)#5,600
298.	18419	46.0	31.0(+15.0)#298	32.0(+14.0)#5,612
299.	19115	45.0	31.0(+14.0)#299	32.0(+13.0)#5,678
300.	16506	45.0	31.0(+14.0)#300	32.0(+13.0)#5,703

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