Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in New York [ 301 - 400 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
301.	13158	30.0	50.0(-20.0)#301	53.0(-23.0)#4,968
302.	12815	30.0	50.0(-20.0)#302	53.0(-23.0)#4,977
303.	14143	30.0	50.0(-20.0)#303	53.0(-23.0)#4,978
304.	12914	30.0	50.0(-20.0)#304	53.0(-23.0)#4,984
305.	13489	30.0	50.0(-20.0)#305	53.0(-23.0)#4,997
306.	10040	31.0	50.0(-19.0)#306	53.0(-22.0)#5,027
307.	11378	31.0	50.0(-19.0)#307	53.0(-22.0)#5,031
308.	11105	31.0	50.0(-19.0)#308	53.0(-22.0)#5,032
309.	10039	31.0	50.0(-19.0)#309	53.0(-22.0)#5,054
310.	10037	31.0	50.0(-19.0)#310	53.0(-22.0)#5,106
311.	11733	31.0	50.0(-19.0)#311	53.0(-22.0)#5,113
312.	12019	31.0	50.0(-19.0)#312	53.0(-22.0)#5,125
313.	12701	31.0	50.0(-19.0)#313	53.0(-22.0)#5,135
314.	11755	31.0	50.0(-19.0)#314	53.0(-22.0)#5,136
315.	12542	31.0	50.0(-19.0)#315	53.0(-22.0)#5,179
316.	13605	31.0	50.0(-19.0)#316	53.0(-22.0)#5,185
317.	12025	31.0	50.0(-19.0)#317	53.0(-22.0)#5,186
318.	13159	31.0	50.0(-19.0)#318	53.0(-22.0)#5,187
319.	12446	31.0	50.0(-19.0)#319	53.0(-22.0)#5,193
320.	12122	31.0	50.0(-19.0)#320	53.0(-22.0)#5,214
321.	14516	31.0	50.0(-19.0)#321	53.0(-22.0)#5,236
322.	14709	31.0	50.0(-19.0)#322	53.0(-22.0)#5,273
323.	14859	31.0	50.0(-19.0)#323	53.0(-22.0)#5,277
324.	14774	31.0	50.0(-19.0)#324	53.0(-22.0)#5,310
325.	11373	32.0	50.0(-18.0)#325	53.0(-21.0)#5,314
326.	11377	32.0	50.0(-18.0)#326	53.0(-21.0)#5,315
327.	11233	32.0	50.0(-18.0)#327	53.0(-21.0)#5,316
328.	10031	32.0	50.0(-18.0)#328	53.0(-21.0)#5,319
329.	12180	32.0	50.0(-18.0)#329	53.0(-21.0)#5,323
330.	11358	32.0	50.0(-18.0)#330	53.0(-21.0)#5,343
331.	11001	32.0	50.0(-18.0)#331	53.0(-21.0)#5,373
332.	13041	32.0	50.0(-18.0)#332	53.0(-21.0)#5,425
333.	13827	32.0	50.0(-18.0)#333	53.0(-21.0)#5,427
334.	14011	32.0	50.0(-18.0)#334	53.0(-21.0)#5,452
335.	10928	32.0	50.0(-18.0)#335	53.0(-21.0)#5,482
336.	11509	32.0	50.0(-18.0)#336	53.0(-21.0)#5,539
337.	13810	32.0	50.0(-18.0)#337	53.0(-21.0)#5,551
338.	10473	33.0	50.0(-17.0)#338	53.0(-20.0)#5,599
339.	11225	33.0	50.0(-17.0)#339	53.0(-20.0)#5,602
340.	10011	33.0	50.0(-17.0)#340	53.0(-20.0)#5,609
341.	11419	33.0	50.0(-17.0)#341	53.0(-20.0)#5,614
342.	11237	33.0	50.0(-17.0)#342	53.0(-20.0)#5,615
343.	11417	33.0	50.0(-17.0)#343	53.0(-20.0)#5,655
344.	10956	33.0	50.0(-17.0)#344	53.0(-20.0)#5,656
345.	14617	33.0	50.0(-17.0)#345	53.0(-20.0)#5,689
346.	12571	33.0	50.0(-17.0)#346	53.0(-20.0)#5,761
347.	14085	33.0	50.0(-17.0)#347	53.0(-20.0)#5,768
348.	13340	33.0	50.0(-17.0)#348	53.0(-20.0)#5,779
349.	14009	33.0	50.0(-17.0)#349	53.0(-20.0)#5,806
350.	13477	33.0	50.0(-17.0)#350	53.0(-20.0)#5,867
351.	13788	33.0	50.0(-17.0)#351	53.0(-20.0)#5,884
352.	14822	33.0	50.0(-17.0)#352	53.0(-20.0)#5,892
353.	11365	34.0	50.0(-16.0)#353	53.0(-19.0)#5,935
354.	11412	34.0	50.0(-16.0)#354	53.0(-19.0)#5,945
355.	10550	34.0	50.0(-16.0)#355	53.0(-19.0)#5,948
356.	11768	34.0	50.0(-16.0)#356	53.0(-19.0)#6,002
357.	11428	34.0	50.0(-16.0)#357	53.0(-19.0)#6,011
358.	11951	34.0	50.0(-16.0)#358	53.0(-19.0)#6,036
359.	14622	34.0	50.0(-16.0)#359	53.0(-19.0)#6,049
360.	10604	34.0	50.0(-16.0)#360	53.0(-19.0)#6,055
361.	14810	34.0	50.0(-16.0)#361	53.0(-19.0)#6,057
362.	11557	34.0	50.0(-16.0)#362	53.0(-19.0)#6,082
363.	12305	34.0	50.0(-16.0)#363	53.0(-19.0)#6,094
364.	11749	34.0	50.0(-16.0)#364	53.0(-19.0)#6,133
365.	12167	34.0	50.0(-16.0)#365	53.0(-19.0)#6,163
366.	12981	34.0	50.0(-16.0)#366	53.0(-19.0)#6,164
367.	12207	34.0	50.0(-16.0)#367	53.0(-19.0)#6,168
368.	12789	34.0	50.0(-16.0)#368	53.0(-19.0)#6,169
369.	13626	34.0	50.0(-16.0)#369	53.0(-19.0)#6,172
370.	13302	34.0	50.0(-16.0)#370	53.0(-19.0)#6,189
371.	11385	35.0	50.0(-15.0)#371	53.0(-18.0)#6,240
372.	10027	35.0	50.0(-15.0)#372	53.0(-18.0)#6,244
373.	11420	35.0	50.0(-15.0)#373	53.0(-18.0)#6,253
374.	14450	35.0	50.0(-15.0)#374	53.0(-18.0)#6,267
375.	11530	35.0	50.0(-15.0)#375	53.0(-18.0)#6,315
376.	10567	35.0	50.0(-15.0)#376	53.0(-18.0)#6,346
377.	11798	35.0	50.0(-15.0)#377	53.0(-18.0)#6,353
378.	11024	35.0	50.0(-15.0)#378	53.0(-18.0)#6,399
379.	10989	35.0	50.0(-15.0)#379	53.0(-18.0)#6,401
380.	12184	35.0	50.0(-15.0)#380	53.0(-18.0)#6,412
381.	13118	35.0	50.0(-15.0)#381	53.0(-18.0)#6,423
382.	12594	35.0	50.0(-15.0)#382	53.0(-18.0)#6,442
383.	13042	35.0	50.0(-15.0)#383	53.0(-18.0)#6,484
384.	12548	35.0	50.0(-15.0)#384	53.0(-18.0)#6,512
385.	12923	35.0	50.0(-15.0)#385	53.0(-18.0)#6,530
386.	11228	36.0	50.0(-14.0)#386	53.0(-17.0)#6,562
387.	13905	36.0	50.0(-14.0)#387	53.0(-17.0)#6,612
388.	11729	36.0	50.0(-14.0)#388	53.0(-17.0)#6,618
389.	13662	36.0	50.0(-14.0)#389	53.0(-17.0)#6,674
390.	14222	36.0	50.0(-14.0)#390	53.0(-17.0)#6,675
391.	11366	36.0	50.0(-14.0)#391	53.0(-17.0)#6,693
392.	14608	36.0	50.0(-14.0)#392	53.0(-17.0)#6,700
393.	14432	36.0	50.0(-14.0)#393	53.0(-17.0)#6,773
394.	14505	36.0	50.0(-14.0)#394	53.0(-17.0)#6,780
395.	14882	36.0	50.0(-14.0)#395	53.0(-17.0)#6,803
396.	14172	36.0	50.0(-14.0)#396	53.0(-17.0)#6,817
397.	14807	36.0	50.0(-14.0)#397	53.0(-17.0)#6,821
398.	12835	36.0	50.0(-14.0)#398	53.0(-17.0)#6,828
399.	13424	36.0	50.0(-14.0)#399	53.0(-17.0)#6,836
400.	13618	36.0	50.0(-14.0)#400	53.0(-17.0)#6,843

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