Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Pennsylvania [ 201 - 300 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
201.	19029	27.0	51.0(-24.0)#201	52.0(-25.0)#4,247
202.	17224	27.0	51.0(-24.0)#202	52.0(-25.0)#4,293
203.	15765	27.0	51.0(-24.0)#203	52.0(-25.0)#4,297
204.	18626	27.0	51.0(-24.0)#204	52.0(-25.0)#4,349
205.	15108	28.0	51.0(-23.0)#205	52.0(-24.0)#4,379
206.	19551	28.0	51.0(-23.0)#206	52.0(-24.0)#4,515
207.	15535	28.0	51.0(-23.0)#207	52.0(-24.0)#4,555
208.	18351	28.0	51.0(-23.0)#208	52.0(-24.0)#4,598
209.	18030	28.0	51.0(-23.0)#209	52.0(-24.0)#4,600
210.	15001	29.0	51.0(-22.0)#210	52.0(-23.0)#4,659
211.	17046	29.0	51.0(-22.0)#211	52.0(-23.0)#4,662
212.	18901	29.0	51.0(-22.0)#212	52.0(-23.0)#4,672
213.	15904	29.0	51.0(-22.0)#213	52.0(-23.0)#4,714
214.	15632	29.0	51.0(-22.0)#214	52.0(-23.0)#4,750
215.	17578	29.0	51.0(-22.0)#215	52.0(-23.0)#4,758
216.	15834	29.0	51.0(-22.0)#216	52.0(-23.0)#4,797
217.	15445	29.0	51.0(-22.0)#217	52.0(-23.0)#4,814
218.	15868	29.0	51.0(-22.0)#218	52.0(-23.0)#4,836
219.	15823	29.0	51.0(-22.0)#219	52.0(-23.0)#4,857
220.	16319	29.0	51.0(-22.0)#220	52.0(-23.0)#4,859
221.	16050	29.0	51.0(-22.0)#221	52.0(-23.0)#4,867
222.	16054	29.0	51.0(-22.0)#222	52.0(-23.0)#4,895
223.	16030	29.0	51.0(-22.0)#223	52.0(-23.0)#4,902
224.	18914	30.0	51.0(-21.0)#224	52.0(-22.0)#4,979
225.	19343	30.0	51.0(-21.0)#225	52.0(-22.0)#5,033
226.	17842	30.0	51.0(-21.0)#226	52.0(-22.0)#5,034
227.	15042	30.0	51.0(-21.0)#227	52.0(-22.0)#5,039
228.	17074	30.0	51.0(-21.0)#228	52.0(-22.0)#5,044
229.	16735	30.0	51.0(-21.0)#229	52.0(-22.0)#5,050
230.	18424	30.0	51.0(-21.0)#230	52.0(-22.0)#5,063
231.	18054	30.0	51.0(-21.0)#231	52.0(-22.0)#5,066
232.	18419	30.0	51.0(-21.0)#232	52.0(-22.0)#5,074
233.	16875	30.0	51.0(-21.0)#233	52.0(-22.0)#5,080
234.	16254	30.0	51.0(-21.0)#234	52.0(-22.0)#5,081
235.	16406	30.0	51.0(-21.0)#235	52.0(-22.0)#5,083
236.	15014	30.0	51.0(-21.0)#236	52.0(-22.0)#5,096
237.	19505	30.0	51.0(-21.0)#237	52.0(-22.0)#5,097
238.	16912	30.0	51.0(-21.0)#238	52.0(-22.0)#5,110
239.	18053	30.0	51.0(-21.0)#239	52.0(-22.0)#5,112
240.	16410	30.0	51.0(-21.0)#240	52.0(-22.0)#5,124
241.	19453	30.0	51.0(-21.0)#241	52.0(-22.0)#5,143
242.	16746	30.0	51.0(-21.0)#242	52.0(-22.0)#5,156
243.	17255	30.0	51.0(-21.0)#243	52.0(-22.0)#5,158
244.	17303	30.0	51.0(-21.0)#244	52.0(-22.0)#5,182
245.	16427	30.0	51.0(-21.0)#245	52.0(-22.0)#5,188
246.	19320	31.0	51.0(-20.0)#246	52.0(-21.0)#5,196
247.	15235	31.0	51.0(-20.0)#247	52.0(-21.0)#5,233
248.	15205	31.0	51.0(-20.0)#248	52.0(-21.0)#5,266
249.	15216	31.0	51.0(-20.0)#249	52.0(-21.0)#5,275
250.	18504	31.0	51.0(-20.0)#250	52.0(-21.0)#5,284
251.	18407	31.0	51.0(-20.0)#251	52.0(-21.0)#5,315
252.	18929	31.0	51.0(-20.0)#252	52.0(-21.0)#5,337
253.	17327	31.0	51.0(-20.0)#253	52.0(-21.0)#5,355
254.	15021	31.0	51.0(-20.0)#254	52.0(-21.0)#5,361
255.	18661	31.0	51.0(-20.0)#255	52.0(-21.0)#5,373
256.	18255	31.0	51.0(-20.0)#256	52.0(-21.0)#5,390
257.	17065	31.0	51.0(-20.0)#257	52.0(-21.0)#5,395
258.	15323	31.0	51.0(-20.0)#258	52.0(-21.0)#5,397
259.	16668	31.0	51.0(-20.0)#259	52.0(-21.0)#5,405
260.	16115	31.0	51.0(-20.0)#260	52.0(-21.0)#5,408
261.	15845	31.0	51.0(-20.0)#261	52.0(-21.0)#5,415
262.	15722	31.0	51.0(-20.0)#262	52.0(-21.0)#5,426
263.	16661	31.0	51.0(-20.0)#263	52.0(-21.0)#5,477
264.	17317	31.0	51.0(-20.0)#264	52.0(-21.0)#5,493
265.	19063	32.0	51.0(-19.0)#265	52.0(-20.0)#5,533
266.	17268	32.0	51.0(-19.0)#266	52.0(-20.0)#5,557
267.	19010	32.0	51.0(-19.0)#267	52.0(-20.0)#5,592
268.	19508	32.0	51.0(-19.0)#268	52.0(-20.0)#5,616
269.	15218	32.0	51.0(-19.0)#269	52.0(-20.0)#5,624
270.	18431	32.0	51.0(-19.0)#270	52.0(-20.0)#5,630
271.	19060	32.0	51.0(-19.0)#271	52.0(-20.0)#5,640
272.	16226	32.0	51.0(-19.0)#272	52.0(-20.0)#5,661
273.	18101	32.0	51.0(-19.0)#273	52.0(-20.0)#5,688
274.	16232	32.0	51.0(-19.0)#274	52.0(-20.0)#5,706
275.	15144	32.0	51.0(-19.0)#275	52.0(-20.0)#5,713
276.	16731	32.0	51.0(-19.0)#276	52.0(-20.0)#5,737
277.	15554	32.0	51.0(-19.0)#277	52.0(-20.0)#5,742
278.	17878	32.0	51.0(-19.0)#278	52.0(-20.0)#5,763
279.	15742	32.0	51.0(-19.0)#279	52.0(-20.0)#5,779
280.	17941	32.0	51.0(-19.0)#280	52.0(-20.0)#5,792
281.	16835	32.0	51.0(-19.0)#281	52.0(-20.0)#5,810
282.	15301	33.0	51.0(-18.0)#282	52.0(-19.0)#5,827
283.	19144	33.0	51.0(-18.0)#283	52.0(-19.0)#5,832
284.	17055	33.0	51.0(-18.0)#284	52.0(-19.0)#5,851
285.	15206	33.0	51.0(-18.0)#285	52.0(-19.0)#5,879
286.	19355	33.0	51.0(-18.0)#286	52.0(-19.0)#5,884
287.	19046	33.0	51.0(-18.0)#287	52.0(-19.0)#5,916
288.	18612	33.0	51.0(-18.0)#288	52.0(-19.0)#5,918
289.	15613	33.0	51.0(-18.0)#289	52.0(-19.0)#5,959
290.	19312	33.0	51.0(-18.0)#290	52.0(-19.0)#5,966
291.	19118	33.0	51.0(-18.0)#291	52.0(-19.0)#5,977
292.	19072	33.0	51.0(-18.0)#292	52.0(-19.0)#5,979
293.	16412	33.0	51.0(-18.0)#293	52.0(-19.0)#5,984
294.	15537	33.0	51.0(-18.0)#294	52.0(-19.0)#5,997
295.	18328	33.0	51.0(-18.0)#295	52.0(-19.0)#5,998
296.	16150	33.0	51.0(-18.0)#296	52.0(-19.0)#6,007
297.	19127	33.0	51.0(-18.0)#297	52.0(-19.0)#6,023
298.	16229	33.0	51.0(-18.0)#298	52.0(-19.0)#6,029
299.	15909	33.0	51.0(-18.0)#299	52.0(-19.0)#6,031
300.	17859	33.0	51.0(-18.0)#300	52.0(-19.0)#6,060

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