Zip Codes with the Most Births per 1,000 Women Below Poverty Level in New York [ 201 - 300 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
201.	10977	105.0	50.0(+55.0)#201	53.0(+52.0)#3,565
202.	14895	105.0	50.0(+55.0)#202	53.0(+52.0)#3,581
203.	14589	105.0	50.0(+55.0)#203	53.0(+52.0)#3,585
204.	14005	105.0	50.0(+55.0)#204	53.0(+52.0)#3,605
205.	12515	105.0	50.0(+55.0)#205	53.0(+52.0)#3,613
206.	13073	104.0	50.0(+54.0)#206	53.0(+51.0)#3,655
207.	13803	104.0	50.0(+54.0)#207	53.0(+51.0)#3,664
208.	12158	103.0	50.0(+53.0)#208	53.0(+50.0)#3,722
209.	13156	103.0	50.0(+53.0)#209	53.0(+50.0)#3,748
210.	13740	103.0	50.0(+53.0)#210	53.0(+50.0)#3,777
211.	10923	102.0	50.0(+52.0)#211	53.0(+49.0)#3,802
212.	13428	102.0	50.0(+52.0)#212	53.0(+49.0)#3,838
213.	13650	102.0	50.0(+52.0)#213	53.0(+49.0)#3,840
214.	10024	101.0	50.0(+51.0)#214	53.0(+48.0)#3,857
215.	13416	101.0	50.0(+51.0)#215	53.0(+48.0)#3,894
216.	13731	101.0	50.0(+51.0)#216	53.0(+48.0)#3,905
217.	14080	100.0	50.0(+50.0)#217	53.0(+47.0)#3,947
218.	14098	100.0	50.0(+50.0)#218	53.0(+47.0)#3,958
219.	12061	99.0	50.0(+49.0)#219	53.0(+46.0)#4,035
220.	13856	99.0	50.0(+49.0)#220	53.0(+46.0)#4,044
221.	12962	99.0	50.0(+49.0)#221	53.0(+46.0)#4,047
222.	14757	99.0	50.0(+49.0)#222	53.0(+46.0)#4,055
223.	12529	99.0	50.0(+49.0)#223	53.0(+46.0)#4,062
224.	13327	99.0	50.0(+49.0)#224	53.0(+46.0)#4,063
225.	12827	98.0	50.0(+48.0)#225	53.0(+45.0)#4,133
226.	12449	97.0	50.0(+47.0)#226	53.0(+44.0)#4,230
227.	13461	97.0	50.0(+47.0)#227	53.0(+44.0)#4,232
228.	12921	97.0	50.0(+47.0)#228	53.0(+44.0)#4,238
229.	12567	97.0	50.0(+47.0)#229	53.0(+44.0)#4,241
230.	13809	97.0	50.0(+47.0)#230	53.0(+44.0)#4,247
231.	12062	97.0	50.0(+47.0)#231	53.0(+44.0)#4,252
232.	13071	97.0	50.0(+47.0)#232	53.0(+44.0)#4,264
233.	12035	97.0	50.0(+47.0)#233	53.0(+44.0)#4,268
234.	14519	96.0	50.0(+46.0)#234	53.0(+43.0)#4,300
235.	10992	96.0	50.0(+46.0)#235	53.0(+43.0)#4,304
236.	14433	96.0	50.0(+46.0)#236	53.0(+43.0)#4,328
237.	12847	96.0	50.0(+46.0)#237	53.0(+43.0)#4,365
238.	13501	95.0	50.0(+45.0)#238	53.0(+42.0)#4,371
239.	12549	95.0	50.0(+45.0)#239	53.0(+42.0)#4,391
240.	14092	95.0	50.0(+45.0)#240	53.0(+42.0)#4,392
241.	12077	95.0	50.0(+45.0)#241	53.0(+42.0)#4,406
242.	11954	95.0	50.0(+45.0)#242	53.0(+42.0)#4,415
243.	14521	95.0	50.0(+45.0)#243	53.0(+42.0)#4,423
244.	13354	95.0	50.0(+45.0)#244	53.0(+42.0)#4,425
245.	13825	95.0	50.0(+45.0)#245	53.0(+42.0)#4,427
246.	13410	95.0	50.0(+45.0)#246	53.0(+42.0)#4,465
247.	10474	94.0	50.0(+44.0)#247	53.0(+41.0)#4,498
248.	11762	92.0	50.0(+42.0)#248	53.0(+39.0)#4,658
249.	12204	92.0	50.0(+42.0)#249	53.0(+39.0)#4,672
250.	14428	92.0	50.0(+42.0)#250	53.0(+39.0)#4,679
251.	14817	92.0	50.0(+42.0)#251	53.0(+39.0)#4,702
252.	14145	92.0	50.0(+42.0)#252	53.0(+39.0)#4,723
253.	13844	92.0	50.0(+42.0)#253	53.0(+39.0)#4,733
254.	12533	91.0	50.0(+41.0)#254	53.0(+38.0)#4,755
255.	10921	91.0	50.0(+41.0)#255	53.0(+38.0)#4,788
256.	13606	90.0	50.0(+40.0)#256	53.0(+37.0)#4,926
257.	13615	90.0	50.0(+40.0)#257	53.0(+37.0)#4,949
258.	13165	89.0	50.0(+39.0)#258	53.0(+36.0)#4,984
259.	10962	89.0	50.0(+39.0)#259	53.0(+36.0)#4,997
260.	14066	89.0	50.0(+39.0)#260	53.0(+36.0)#5,034
261.	14720	89.0	50.0(+39.0)#261	53.0(+36.0)#5,040
262.	11356	88.0	50.0(+38.0)#262	53.0(+35.0)#5,063
263.	12883	88.0	50.0(+38.0)#263	53.0(+35.0)#5,103
264.	13411	88.0	50.0(+38.0)#264	53.0(+35.0)#5,115
265.	12926	88.0	50.0(+38.0)#265	53.0(+35.0)#5,122
266.	12814	88.0	50.0(+38.0)#266	53.0(+35.0)#5,147
267.	13115	88.0	50.0(+38.0)#267	53.0(+35.0)#5,173
268.	11706	87.0	50.0(+37.0)#268	53.0(+34.0)#5,177
269.	13903	87.0	50.0(+37.0)#269	53.0(+34.0)#5,202
270.	12118	87.0	50.0(+37.0)#270	53.0(+34.0)#5,204
271.	12822	87.0	50.0(+37.0)#271	53.0(+34.0)#5,232
272.	13438	87.0	50.0(+37.0)#272	53.0(+34.0)#5,254
273.	13146	87.0	50.0(+37.0)#273	53.0(+34.0)#5,265
274.	12928	87.0	50.0(+37.0)#274	53.0(+34.0)#5,273
275.	14894	87.0	50.0(+37.0)#275	53.0(+34.0)#5,280
276.	13204	86.0	50.0(+36.0)#276	53.0(+33.0)#5,321
277.	13037	86.0	50.0(+36.0)#277	53.0(+33.0)#5,343
278.	12983	86.0	50.0(+36.0)#278	53.0(+33.0)#5,350
279.	13082	86.0	50.0(+36.0)#279	53.0(+33.0)#5,367
280.	14855	86.0	50.0(+36.0)#280	53.0(+33.0)#5,396
281.	13072	86.0	50.0(+36.0)#281	53.0(+33.0)#5,398
282.	12746	86.0	50.0(+36.0)#282	53.0(+33.0)#5,404
283.	12405	86.0	50.0(+36.0)#283	53.0(+33.0)#5,407
284.	13066	85.0	50.0(+35.0)#284	53.0(+32.0)#5,457
285.	12084	85.0	50.0(+35.0)#285	53.0(+32.0)#5,482
286.	12758	85.0	50.0(+35.0)#286	53.0(+32.0)#5,499
287.	12144	84.0	50.0(+34.0)#287	53.0(+31.0)#5,578
288.	14108	84.0	50.0(+34.0)#288	53.0(+31.0)#5,625
289.	10968	84.0	50.0(+34.0)#289	53.0(+31.0)#5,654
290.	11901	83.0	50.0(+33.0)#290	53.0(+30.0)#5,692
291.	10595	83.0	50.0(+33.0)#291	53.0(+30.0)#5,731
292.	14485	83.0	50.0(+33.0)#292	53.0(+30.0)#5,751
293.	13325	83.0	50.0(+33.0)#293	53.0(+30.0)#5,797
294.	13117	83.0	50.0(+33.0)#294	53.0(+30.0)#5,813
295.	12435	83.0	50.0(+33.0)#295	53.0(+30.0)#5,814
296.	14212	82.0	50.0(+32.0)#296	53.0(+29.0)#5,863
297.	10044	82.0	50.0(+32.0)#297	53.0(+29.0)#5,870
298.	11797	82.0	50.0(+32.0)#298	53.0(+29.0)#5,877
299.	12887	82.0	50.0(+32.0)#299	53.0(+29.0)#5,901
300.	12078	81.0	50.0(+31.0)#300	53.0(+28.0)#6,007

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