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

	Zip Code	Births / 1,000 Women	vs State	vs National
201.	10920	24.0	50.0(-26.0)#201	53.0(-29.0)#3,236
202.	11514	24.0	50.0(-26.0)#202	53.0(-29.0)#3,268
203.	10524	24.0	50.0(-26.0)#203	53.0(-29.0)#3,277
204.	12138	24.0	50.0(-26.0)#204	53.0(-29.0)#3,300
205.	13083	24.0	50.0(-26.0)#205	53.0(-29.0)#3,328
206.	14818	24.0	50.0(-26.0)#206	53.0(-29.0)#3,335
207.	14878	24.0	50.0(-26.0)#207	53.0(-29.0)#3,366
208.	11765	24.0	50.0(-26.0)#208	53.0(-29.0)#3,372
209.	13863	24.0	50.0(-26.0)#209	53.0(-29.0)#3,381
210.	10016	25.0	50.0(-25.0)#210	53.0(-28.0)#3,394
211.	11520	25.0	50.0(-25.0)#211	53.0(-28.0)#3,398
212.	11743	25.0	50.0(-25.0)#212	53.0(-28.0)#3,400
213.	10705	25.0	50.0(-25.0)#213	53.0(-28.0)#3,401
214.	12203	25.0	50.0(-25.0)#214	53.0(-28.0)#3,414
215.	10598	25.0	50.0(-25.0)#215	53.0(-28.0)#3,419
216.	14616	25.0	50.0(-25.0)#216	53.0(-28.0)#3,425
217.	14559	25.0	50.0(-25.0)#217	53.0(-28.0)#3,463
218.	12561	25.0	50.0(-25.0)#218	53.0(-28.0)#3,464
219.	10580	25.0	50.0(-25.0)#219	53.0(-28.0)#3,466
220.	10804	25.0	50.0(-25.0)#220	53.0(-28.0)#3,478
221.	14470	25.0	50.0(-25.0)#221	53.0(-28.0)#3,516
222.	13754	25.0	50.0(-25.0)#222	53.0(-28.0)#3,585
223.	13635	25.0	50.0(-25.0)#223	53.0(-28.0)#3,626
224.	14731	25.0	50.0(-25.0)#224	53.0(-28.0)#3,628
225.	11203	26.0	50.0(-24.0)#225	53.0(-27.0)#3,670
226.	11103	26.0	50.0(-24.0)#226	53.0(-27.0)#3,684
227.	14620	26.0	50.0(-24.0)#227	53.0(-27.0)#3,702
228.	11726	26.0	50.0(-24.0)#228	53.0(-27.0)#3,710
229.	11411	26.0	50.0(-24.0)#229	53.0(-27.0)#3,712
230.	14760	26.0	50.0(-24.0)#230	53.0(-27.0)#3,728
231.	11961	26.0	50.0(-24.0)#231	53.0(-27.0)#3,744
232.	14063	26.0	50.0(-24.0)#232	53.0(-27.0)#3,745
233.	14032	26.0	50.0(-24.0)#233	53.0(-27.0)#3,756
234.	12090	26.0	50.0(-24.0)#234	53.0(-27.0)#3,783
235.	14739	26.0	50.0(-24.0)#235	53.0(-27.0)#3,835
236.	11216	27.0	50.0(-23.0)#236	53.0(-26.0)#3,925
237.	10022	27.0	50.0(-23.0)#237	53.0(-26.0)#3,944
238.	13212	27.0	50.0(-23.0)#238	53.0(-26.0)#3,976
239.	12110	27.0	50.0(-23.0)#239	53.0(-26.0)#3,978
240.	13413	27.0	50.0(-23.0)#240	53.0(-26.0)#3,990
241.	10941	27.0	50.0(-23.0)#241	53.0(-26.0)#3,999
242.	10570	27.0	50.0(-23.0)#242	53.0(-26.0)#4,001
243.	11753	27.0	50.0(-23.0)#243	53.0(-26.0)#4,002
244.	11576	27.0	50.0(-23.0)#244	53.0(-26.0)#4,007
245.	14625	27.0	50.0(-23.0)#245	53.0(-26.0)#4,013
246.	10709	27.0	50.0(-23.0)#246	53.0(-26.0)#4,014
247.	10005	27.0	50.0(-23.0)#247	53.0(-26.0)#4,022
248.	14445	27.0	50.0(-23.0)#248	53.0(-26.0)#4,029
249.	12015	27.0	50.0(-23.0)#249	53.0(-26.0)#4,069
250.	13691	27.0	50.0(-23.0)#250	53.0(-26.0)#4,088
251.	14476	27.0	50.0(-23.0)#251	53.0(-26.0)#4,104
252.	13343	27.0	50.0(-23.0)#252	53.0(-26.0)#4,124
253.	12423	27.0	50.0(-23.0)#253	53.0(-26.0)#4,138
254.	14846	27.0	50.0(-23.0)#254	53.0(-26.0)#4,150
255.	13155	27.0	50.0(-23.0)#255	53.0(-26.0)#4,172
256.	14441	27.0	50.0(-23.0)#256	53.0(-26.0)#4,178
257.	10032	28.0	50.0(-22.0)#257	53.0(-25.0)#4,190
258.	12065	28.0	50.0(-22.0)#258	53.0(-25.0)#4,202
259.	11222	28.0	50.0(-22.0)#259	53.0(-25.0)#4,208
260.	14304	28.0	50.0(-22.0)#260	53.0(-25.0)#4,235
261.	11429	28.0	50.0(-22.0)#261	53.0(-25.0)#4,239
262.	14068	28.0	50.0(-22.0)#262	53.0(-25.0)#4,312
263.	14546	28.0	50.0(-22.0)#263	53.0(-25.0)#4,334
264.	14891	28.0	50.0(-22.0)#264	53.0(-25.0)#4,338
265.	14772	28.0	50.0(-22.0)#265	53.0(-25.0)#4,346
266.	10926	28.0	50.0(-22.0)#266	53.0(-25.0)#4,347
267.	12404	28.0	50.0(-22.0)#267	53.0(-25.0)#4,348
268.	14561	28.0	50.0(-22.0)#268	53.0(-25.0)#4,369
269.	10009	29.0	50.0(-21.0)#269	53.0(-24.0)#4,439
270.	11422	29.0	50.0(-21.0)#270	53.0(-24.0)#4,468
271.	11763	29.0	50.0(-21.0)#271	53.0(-24.0)#4,478
272.	10001	29.0	50.0(-21.0)#272	53.0(-24.0)#4,490
273.	14586	29.0	50.0(-21.0)#273	53.0(-24.0)#4,541
274.	14605	29.0	50.0(-21.0)#274	53.0(-24.0)#4,545
275.	13224	29.0	50.0(-21.0)#275	53.0(-24.0)#4,564
276.	14204	29.0	50.0(-21.0)#276	53.0(-24.0)#4,570
277.	10533	29.0	50.0(-21.0)#277	53.0(-24.0)#4,573
278.	11942	29.0	50.0(-21.0)#278	53.0(-24.0)#4,594
279.	10993	29.0	50.0(-21.0)#279	53.0(-24.0)#4,602
280.	14823	29.0	50.0(-21.0)#280	53.0(-24.0)#4,611
281.	12850	29.0	50.0(-21.0)#281	53.0(-24.0)#4,632
282.	14735	29.0	50.0(-21.0)#282	53.0(-24.0)#4,633
283.	12776	29.0	50.0(-21.0)#283	53.0(-24.0)#4,644
284.	12502	29.0	50.0(-21.0)#284	53.0(-24.0)#4,668
285.	10002	30.0	50.0(-20.0)#285	53.0(-23.0)#4,715
286.	10029	30.0	50.0(-20.0)#286	53.0(-23.0)#4,716
287.	10026	30.0	50.0(-20.0)#287	53.0(-23.0)#4,736
288.	10309	30.0	50.0(-20.0)#288	53.0(-23.0)#4,743
289.	11787	30.0	50.0(-20.0)#289	53.0(-23.0)#4,744
290.	10562	30.0	50.0(-20.0)#290	53.0(-23.0)#4,748
291.	10036	30.0	50.0(-20.0)#291	53.0(-23.0)#4,760
292.	14127	30.0	50.0(-20.0)#292	53.0(-23.0)#4,761
293.	13850	30.0	50.0(-20.0)#293	53.0(-23.0)#4,779
294.	13210	30.0	50.0(-20.0)#294	53.0(-23.0)#4,797
295.	12206	30.0	50.0(-20.0)#295	53.0(-23.0)#4,818
296.	10522	30.0	50.0(-20.0)#296	53.0(-23.0)#4,833
297.	14136	30.0	50.0(-20.0)#297	53.0(-23.0)#4,877
298.	14809	30.0	50.0(-20.0)#298	53.0(-23.0)#4,917
299.	12197	30.0	50.0(-20.0)#299	53.0(-23.0)#4,941
300.	12583	30.0	50.0(-20.0)#300	53.0(-23.0)#4,949

1 2

4 5 6 7 8 9 10