Zip Codes with the Fewest Births per 1,000 Women in Pennsylvania [ 301 - 400 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
301.	16611	33.0	51.0(-18.0)#301	52.0(-19.0)#6,065
302.	17101	33.0	51.0(-18.0)#302	52.0(-19.0)#6,067
303.	15423	33.0	51.0(-18.0)#303	52.0(-19.0)#6,082
304.	17228	33.0	51.0(-18.0)#304	52.0(-19.0)#6,104
305.	17508	33.0	51.0(-18.0)#305	52.0(-19.0)#6,107
306.	17403	34.0	51.0(-17.0)#306	52.0(-18.0)#6,173
307.	19121	34.0	51.0(-17.0)#307	52.0(-18.0)#6,179
308.	18360	34.0	51.0(-17.0)#308	52.0(-18.0)#6,200
309.	19053	34.0	51.0(-17.0)#309	52.0(-18.0)#6,205
310.	15217	34.0	51.0(-17.0)#310	52.0(-18.0)#6,209
311.	17512	34.0	51.0(-17.0)#311	52.0(-18.0)#6,245
312.	18444	34.0	51.0(-17.0)#312	52.0(-18.0)#6,263
313.	18634	34.0	51.0(-17.0)#313	52.0(-18.0)#6,267
314.	16137	34.0	51.0(-17.0)#314	52.0(-18.0)#6,272
315.	15522	34.0	51.0(-17.0)#315	52.0(-18.0)#6,279
316.	18324	34.0	51.0(-17.0)#316	52.0(-18.0)#6,289
317.	19560	34.0	51.0(-17.0)#317	52.0(-18.0)#6,296
318.	19510	34.0	51.0(-17.0)#318	52.0(-18.0)#6,303
319.	18801	34.0	51.0(-17.0)#319	52.0(-18.0)#6,310
320.	17579	34.0	51.0(-17.0)#320	52.0(-18.0)#6,322
321.	17820	34.0	51.0(-17.0)#321	52.0(-18.0)#6,332
322.	15110	34.0	51.0(-17.0)#322	52.0(-18.0)#6,335
323.	18610	34.0	51.0(-17.0)#323	52.0(-18.0)#6,345
324.	15473	34.0	51.0(-17.0)#324	52.0(-18.0)#6,361
325.	18660	34.0	51.0(-17.0)#325	52.0(-18.0)#6,362
326.	16878	34.0	51.0(-17.0)#326	52.0(-18.0)#6,405
327.	15747	34.0	51.0(-17.0)#327	52.0(-18.0)#6,407
328.	16402	34.0	51.0(-17.0)#328	52.0(-18.0)#6,443
329.	16745	34.0	51.0(-17.0)#329	52.0(-18.0)#6,448
330.	19380	35.0	51.0(-16.0)#330	52.0(-17.0)#6,481
331.	18974	35.0	51.0(-16.0)#331	52.0(-17.0)#6,492
332.	17201	35.0	51.0(-16.0)#332	52.0(-17.0)#6,541
333.	19023	35.0	51.0(-16.0)#333	52.0(-17.0)#6,559
334.	15905	35.0	51.0(-16.0)#334	52.0(-17.0)#6,571
335.	17837	35.0	51.0(-16.0)#335	52.0(-17.0)#6,580
336.	15644	35.0	51.0(-16.0)#336	52.0(-17.0)#6,581
337.	16365	35.0	51.0(-16.0)#337	52.0(-17.0)#6,584
338.	17070	35.0	51.0(-16.0)#338	52.0(-17.0)#6,591
339.	15668	35.0	51.0(-16.0)#339	52.0(-17.0)#6,605
340.	15065	35.0	51.0(-16.0)#340	52.0(-17.0)#6,618
341.	15963	35.0	51.0(-16.0)#341	52.0(-17.0)#6,620
342.	15658	35.0	51.0(-16.0)#342	52.0(-17.0)#6,632
343.	16651	35.0	51.0(-16.0)#343	52.0(-17.0)#6,651
344.	16625	35.0	51.0(-16.0)#344	52.0(-17.0)#6,680
345.	18344	35.0	51.0(-16.0)#345	52.0(-17.0)#6,682
346.	19555	35.0	51.0(-16.0)#346	52.0(-17.0)#6,683
347.	18630	35.0	51.0(-16.0)#347	52.0(-17.0)#6,694
348.	16145	35.0	51.0(-16.0)#348	52.0(-17.0)#6,701
349.	15679	35.0	51.0(-16.0)#349	52.0(-17.0)#6,705
350.	15923	35.0	51.0(-16.0)#350	52.0(-17.0)#6,722
351.	16872	35.0	51.0(-16.0)#351	52.0(-17.0)#6,724
352.	15757	35.0	51.0(-16.0)#352	52.0(-17.0)#6,733
353.	15341	35.0	51.0(-16.0)#353	52.0(-17.0)#6,753
354.	17002	35.0	51.0(-16.0)#354	52.0(-17.0)#6,760
355.	17402	36.0	51.0(-15.0)#355	52.0(-16.0)#6,816
356.	19608	36.0	51.0(-15.0)#356	52.0(-16.0)#6,859
357.	19006	36.0	51.0(-15.0)#357	52.0(-16.0)#6,862
358.	15057	36.0	51.0(-15.0)#358	52.0(-16.0)#6,893
359.	17756	36.0	51.0(-15.0)#359	52.0(-16.0)#6,922
360.	18428	36.0	51.0(-15.0)#360	52.0(-16.0)#6,923
361.	19078	36.0	51.0(-15.0)#361	52.0(-16.0)#6,931
362.	19033	36.0	51.0(-15.0)#362	52.0(-16.0)#6,966
363.	17073	36.0	51.0(-15.0)#363	52.0(-16.0)#6,984
364.	15222	36.0	51.0(-15.0)#364	52.0(-16.0)#6,992
365.	17954	36.0	51.0(-15.0)#365	52.0(-16.0)#7,004
366.	16743	36.0	51.0(-15.0)#366	52.0(-16.0)#7,012
367.	17846	36.0	51.0(-15.0)#367	52.0(-16.0)#7,015
368.	15728	36.0	51.0(-15.0)#368	52.0(-16.0)#7,021
369.	16156	36.0	51.0(-15.0)#369	52.0(-16.0)#7,026
370.	15052	36.0	51.0(-15.0)#370	52.0(-16.0)#7,032
371.	16617	36.0	51.0(-15.0)#371	52.0(-16.0)#7,035
372.	16922	36.0	51.0(-15.0)#372	52.0(-16.0)#7,057
373.	16218	36.0	51.0(-15.0)#373	52.0(-16.0)#7,074
374.	17776	36.0	51.0(-15.0)#374	52.0(-16.0)#7,107
375.	17022	37.0	51.0(-14.0)#375	52.0(-15.0)#7,160
376.	17325	37.0	51.0(-14.0)#376	52.0(-15.0)#7,171
377.	16602	37.0	51.0(-14.0)#377	52.0(-15.0)#7,181
378.	17552	37.0	51.0(-14.0)#378	52.0(-15.0)#7,219
379.	18013	37.0	51.0(-14.0)#379	52.0(-15.0)#7,231
380.	16323	37.0	51.0(-14.0)#380	52.0(-15.0)#7,254
381.	17870	37.0	51.0(-14.0)#381	52.0(-15.0)#7,256
382.	17023	37.0	51.0(-14.0)#382	52.0(-15.0)#7,342
383.	16421	37.0	51.0(-14.0)#383	52.0(-15.0)#7,362
384.	16639	37.0	51.0(-14.0)#384	52.0(-15.0)#7,396
385.	16667	37.0	51.0(-14.0)#385	52.0(-15.0)#7,398
386.	17229	37.0	51.0(-14.0)#386	52.0(-15.0)#7,400
387.	18354	37.0	51.0(-14.0)#387	52.0(-15.0)#7,412
388.	15778	37.0	51.0(-14.0)#388	52.0(-15.0)#7,435
389.	19015	38.0	51.0(-13.0)#389	52.0(-14.0)#7,582
390.	19056	38.0	51.0(-13.0)#390	52.0(-14.0)#7,586
391.	15666	38.0	51.0(-13.0)#391	52.0(-14.0)#7,587
392.	17754	38.0	51.0(-13.0)#392	52.0(-14.0)#7,605
393.	18960	38.0	51.0(-13.0)#393	52.0(-14.0)#7,608
394.	17551	38.0	51.0(-13.0)#394	52.0(-14.0)#7,611
395.	15137	38.0	51.0(-13.0)#395	52.0(-14.0)#7,620
396.	19095	38.0	51.0(-13.0)#396	52.0(-14.0)#7,642
397.	19041	38.0	51.0(-13.0)#397	52.0(-14.0)#7,651
398.	17372	38.0	51.0(-13.0)#398	52.0(-14.0)#7,675
399.	15461	38.0	51.0(-13.0)#399	52.0(-14.0)#7,676
400.	18077	38.0	51.0(-13.0)#400	52.0(-14.0)#7,711

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