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

	Zip Code	Births / 1,000 Women	vs State	vs National
201.	13112	23.0	48.0(-25.0)#201	52.0(-29.0)#3,246
202.	14815	23.0	48.0(-25.0)#202	52.0(-29.0)#3,277
203.	11226	24.0	48.0(-24.0)#203	52.0(-28.0)#3,296
204.	10128	24.0	48.0(-24.0)#204	52.0(-28.0)#3,299
205.	10016	24.0	48.0(-24.0)#205	52.0(-28.0)#3,300
206.	11413	24.0	48.0(-24.0)#206	52.0(-28.0)#3,306
207.	11720	24.0	48.0(-24.0)#207	52.0(-28.0)#3,323
208.	14620	24.0	48.0(-24.0)#208	52.0(-28.0)#3,330
209.	10552	24.0	48.0(-24.0)#209	52.0(-28.0)#3,337
210.	11790	24.0	48.0(-24.0)#210	52.0(-28.0)#3,347
211.	13210	24.0	48.0(-24.0)#211	52.0(-28.0)#3,350
212.	11949	24.0	48.0(-24.0)#212	52.0(-28.0)#3,373
213.	12572	24.0	48.0(-24.0)#213	52.0(-28.0)#3,391
214.	10920	24.0	48.0(-24.0)#214	52.0(-28.0)#3,395
215.	11514	24.0	48.0(-24.0)#215	52.0(-28.0)#3,427
216.	10524	24.0	48.0(-24.0)#216	52.0(-28.0)#3,437
217.	12138	24.0	48.0(-24.0)#217	52.0(-28.0)#3,456
218.	13083	24.0	48.0(-24.0)#218	52.0(-28.0)#3,485
219.	14818	24.0	48.0(-24.0)#219	52.0(-28.0)#3,491
220.	14878	24.0	48.0(-24.0)#220	52.0(-28.0)#3,522
221.	11765	24.0	48.0(-24.0)#221	52.0(-28.0)#3,528
222.	13863	24.0	48.0(-24.0)#222	52.0(-28.0)#3,537
223.	11520	25.0	48.0(-23.0)#223	52.0(-27.0)#3,554
224.	11743	25.0	48.0(-23.0)#224	52.0(-27.0)#3,557
225.	10705	25.0	48.0(-23.0)#225	52.0(-27.0)#3,559
226.	10598	25.0	48.0(-23.0)#226	52.0(-27.0)#3,575
227.	14616	25.0	48.0(-23.0)#227	52.0(-27.0)#3,583
228.	13820	25.0	48.0(-23.0)#228	52.0(-27.0)#3,605
229.	14559	25.0	48.0(-23.0)#229	52.0(-27.0)#3,622
230.	10580	25.0	48.0(-23.0)#230	52.0(-27.0)#3,624
231.	10804	25.0	48.0(-23.0)#231	52.0(-27.0)#3,638
232.	13035	25.0	48.0(-23.0)#232	52.0(-27.0)#3,670
233.	14470	25.0	48.0(-23.0)#233	52.0(-27.0)#3,679
234.	13754	25.0	48.0(-23.0)#234	52.0(-27.0)#3,746
235.	13026	25.0	48.0(-23.0)#235	52.0(-27.0)#3,769
236.	13635	25.0	48.0(-23.0)#236	52.0(-27.0)#3,786
237.	14731	25.0	48.0(-23.0)#237	52.0(-27.0)#3,788
238.	11203	26.0	48.0(-22.0)#238	52.0(-26.0)#3,830
239.	11103	26.0	48.0(-22.0)#239	52.0(-26.0)#3,845
240.	10022	26.0	48.0(-22.0)#240	52.0(-26.0)#3,847
241.	11726	26.0	48.0(-22.0)#241	52.0(-26.0)#3,877
242.	11411	26.0	48.0(-22.0)#242	52.0(-26.0)#3,878
243.	14760	26.0	48.0(-22.0)#243	52.0(-26.0)#3,892
244.	13413	26.0	48.0(-22.0)#244	52.0(-26.0)#3,898
245.	11961	26.0	48.0(-22.0)#245	52.0(-26.0)#3,910
246.	14032	26.0	48.0(-22.0)#246	52.0(-26.0)#3,923
247.	12090	26.0	48.0(-22.0)#247	52.0(-26.0)#3,951
248.	14739	26.0	48.0(-22.0)#248	52.0(-26.0)#4,004
249.	10027	27.0	48.0(-21.0)#249	52.0(-25.0)#4,095
250.	11216	27.0	48.0(-21.0)#250	52.0(-25.0)#4,096
251.	10032	27.0	48.0(-21.0)#251	52.0(-25.0)#4,097
252.	10001	27.0	48.0(-21.0)#252	52.0(-25.0)#4,129
253.	14623	27.0	48.0(-21.0)#253	52.0(-25.0)#4,134
254.	13212	27.0	48.0(-21.0)#254	52.0(-25.0)#4,149
255.	12110	27.0	48.0(-21.0)#255	52.0(-25.0)#4,152
256.	10941	27.0	48.0(-21.0)#256	52.0(-25.0)#4,174
257.	11753	27.0	48.0(-21.0)#257	52.0(-25.0)#4,179
258.	11576	27.0	48.0(-21.0)#258	52.0(-25.0)#4,185
259.	14625	27.0	48.0(-21.0)#259	52.0(-25.0)#4,191
260.	10709	27.0	48.0(-21.0)#260	52.0(-25.0)#4,193
261.	10005	27.0	48.0(-21.0)#261	52.0(-25.0)#4,202
262.	14445	27.0	48.0(-21.0)#262	52.0(-25.0)#4,208
263.	12015	27.0	48.0(-21.0)#263	52.0(-25.0)#4,245
264.	13691	27.0	48.0(-21.0)#264	52.0(-25.0)#4,263
265.	14476	27.0	48.0(-21.0)#265	52.0(-25.0)#4,278
266.	14744	27.0	48.0(-21.0)#266	52.0(-25.0)#4,284
267.	13343	27.0	48.0(-21.0)#267	52.0(-25.0)#4,298
268.	12423	27.0	48.0(-21.0)#268	52.0(-25.0)#4,313
269.	14846	27.0	48.0(-21.0)#269	52.0(-25.0)#4,325
270.	13155	27.0	48.0(-21.0)#270	52.0(-25.0)#4,347
271.	14441	27.0	48.0(-21.0)#271	52.0(-25.0)#4,354
272.	12065	28.0	48.0(-20.0)#272	52.0(-24.0)#4,377
273.	11222	28.0	48.0(-20.0)#273	52.0(-24.0)#4,382
274.	14304	28.0	48.0(-20.0)#274	52.0(-24.0)#4,409
275.	11429	28.0	48.0(-20.0)#275	52.0(-24.0)#4,413
276.	13676	28.0	48.0(-20.0)#276	52.0(-24.0)#4,455
277.	14586	28.0	48.0(-20.0)#277	52.0(-24.0)#4,463
278.	10522	28.0	48.0(-20.0)#278	52.0(-24.0)#4,467
279.	14605	28.0	48.0(-20.0)#279	52.0(-24.0)#4,469
280.	13224	28.0	48.0(-20.0)#280	52.0(-24.0)#4,483
281.	14068	28.0	48.0(-20.0)#281	52.0(-24.0)#4,491
282.	12305	28.0	48.0(-20.0)#282	52.0(-24.0)#4,496
283.	14546	28.0	48.0(-20.0)#283	52.0(-24.0)#4,514
284.	14891	28.0	48.0(-20.0)#284	52.0(-24.0)#4,519
285.	14772	28.0	48.0(-20.0)#285	52.0(-24.0)#4,526
286.	10926	28.0	48.0(-20.0)#286	52.0(-24.0)#4,527
287.	12404	28.0	48.0(-20.0)#287	52.0(-24.0)#4,528
288.	14561	28.0	48.0(-20.0)#288	52.0(-24.0)#4,547
289.	12776	28.0	48.0(-20.0)#289	52.0(-24.0)#4,553
290.	10029	29.0	48.0(-19.0)#290	52.0(-23.0)#4,617
291.	10009	29.0	48.0(-19.0)#291	52.0(-23.0)#4,620
292.	12180	29.0	48.0(-19.0)#292	52.0(-23.0)#4,628
293.	11422	29.0	48.0(-19.0)#293	52.0(-23.0)#4,656
294.	11763	29.0	48.0(-19.0)#294	52.0(-23.0)#4,667
295.	14222	29.0	48.0(-19.0)#295	52.0(-23.0)#4,716
296.	13617	29.0	48.0(-19.0)#296	52.0(-23.0)#4,731
297.	14204	29.0	48.0(-19.0)#297	52.0(-23.0)#4,757
298.	10533	29.0	48.0(-19.0)#298	52.0(-23.0)#4,761
299.	11942	29.0	48.0(-19.0)#299	52.0(-23.0)#4,780
300.	10993	29.0	48.0(-19.0)#300	52.0(-23.0)#4,789

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