Zip Codes with the Most Births per 1,000 Women in Pennsylvania [ 401 - 500 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
401.	19512	72.0	51.0(+21.0)#401	52.0(+20.0)#7,508
402.	18414	72.0	51.0(+21.0)#402	52.0(+20.0)#7,546
403.	16749	72.0	51.0(+21.0)#403	52.0(+20.0)#7,562
404.	19605	71.0	51.0(+20.0)#404	52.0(+19.0)#7,693
405.	16635	71.0	51.0(+20.0)#405	52.0(+19.0)#7,723
406.	17240	71.0	51.0(+20.0)#406	52.0(+19.0)#7,770
407.	17980	71.0	51.0(+20.0)#407	52.0(+19.0)#7,772
408.	17981	71.0	51.0(+20.0)#408	52.0(+19.0)#7,780
409.	15324	71.0	51.0(+20.0)#409	52.0(+19.0)#7,817
410.	17850	71.0	51.0(+20.0)#410	52.0(+19.0)#7,827
411.	16750	71.0	51.0(+20.0)#411	52.0(+19.0)#7,829
412.	16228	71.0	51.0(+20.0)#412	52.0(+19.0)#7,834
413.	17763	71.0	51.0(+20.0)#413	52.0(+19.0)#7,835
414.	15847	71.0	51.0(+20.0)#414	52.0(+19.0)#7,841
415.	19007	70.0	51.0(+19.0)#415	52.0(+18.0)#7,900
416.	16117	70.0	51.0(+19.0)#416	52.0(+18.0)#7,920
417.	18074	70.0	51.0(+19.0)#417	52.0(+18.0)#7,962
418.	17772	70.0	51.0(+19.0)#418	52.0(+18.0)#7,991
419.	17855	70.0	51.0(+19.0)#419	52.0(+18.0)#8,033
420.	15432	70.0	51.0(+19.0)#420	52.0(+18.0)#8,047
421.	17522	69.0	51.0(+18.0)#421	52.0(+17.0)#8,088
422.	15401	69.0	51.0(+18.0)#422	52.0(+17.0)#8,099
423.	19125	69.0	51.0(+18.0)#423	52.0(+17.0)#8,115
424.	19090	69.0	51.0(+18.0)#424	52.0(+17.0)#8,132
425.	17745	69.0	51.0(+18.0)#425	52.0(+17.0)#8,137
426.	19462	69.0	51.0(+18.0)#426	52.0(+17.0)#8,145
427.	19609	69.0	51.0(+18.0)#427	52.0(+17.0)#8,166
428.	16441	69.0	51.0(+18.0)#428	52.0(+17.0)#8,169
429.	18072	69.0	51.0(+18.0)#429	52.0(+17.0)#8,177
430.	19520	69.0	51.0(+18.0)#430	52.0(+17.0)#8,181
431.	19547	69.0	51.0(+18.0)#431	52.0(+17.0)#8,196
432.	18232	69.0	51.0(+18.0)#432	52.0(+17.0)#8,197
433.	16740	69.0	51.0(+18.0)#433	52.0(+17.0)#8,259
434.	15444	69.0	51.0(+18.0)#434	52.0(+17.0)#8,261
435.	16680	69.0	51.0(+18.0)#435	52.0(+17.0)#8,271
436.	19116	68.0	51.0(+17.0)#436	52.0(+16.0)#8,303
437.	19468	68.0	51.0(+17.0)#437	52.0(+16.0)#8,319
438.	16201	68.0	51.0(+17.0)#438	52.0(+16.0)#8,349
439.	16686	68.0	51.0(+17.0)#439	52.0(+16.0)#8,359
440.	18512	68.0	51.0(+17.0)#440	52.0(+16.0)#8,363
441.	15851	68.0	51.0(+17.0)#441	52.0(+16.0)#8,383
442.	15126	68.0	51.0(+17.0)#442	52.0(+16.0)#8,385
443.	19076	68.0	51.0(+17.0)#443	52.0(+16.0)#8,390
444.	17314	68.0	51.0(+17.0)#444	52.0(+16.0)#8,391
445.	19022	68.0	51.0(+17.0)#445	52.0(+16.0)#8,414
446.	16434	68.0	51.0(+17.0)#446	52.0(+16.0)#8,418
447.	17267	68.0	51.0(+17.0)#447	52.0(+16.0)#8,423
448.	18405	68.0	51.0(+17.0)#448	52.0(+16.0)#8,426
449.	17965	68.0	51.0(+17.0)#449	52.0(+16.0)#8,435
450.	18830	68.0	51.0(+17.0)#450	52.0(+16.0)#8,468
451.	16620	68.0	51.0(+17.0)#451	52.0(+16.0)#8,473
452.	18201	67.0	51.0(+16.0)#452	52.0(+15.0)#8,519
453.	16510	67.0	51.0(+16.0)#453	52.0(+15.0)#8,537
454.	19607	67.0	51.0(+16.0)#454	52.0(+15.0)#8,541
455.	15143	67.0	51.0(+16.0)#455	52.0(+15.0)#8,548
456.	17350	67.0	51.0(+16.0)#456	52.0(+15.0)#8,578
457.	18657	67.0	51.0(+16.0)#457	52.0(+15.0)#8,587
458.	18518	67.0	51.0(+16.0)#458	52.0(+15.0)#8,597
459.	17045	67.0	51.0(+16.0)#459	52.0(+15.0)#8,627
460.	19529	67.0	51.0(+16.0)#460	52.0(+15.0)#8,635
461.	15774	67.0	51.0(+16.0)#461	52.0(+15.0)#8,646
462.	17845	67.0	51.0(+16.0)#462	52.0(+15.0)#8,655
463.	19120	66.0	51.0(+15.0)#463	52.0(+14.0)#8,726
464.	19087	66.0	51.0(+15.0)#464	52.0(+14.0)#8,760
465.	15202	66.0	51.0(+15.0)#465	52.0(+14.0)#8,803
466.	15122	66.0	51.0(+15.0)#466	52.0(+14.0)#8,806
467.	19602	66.0	51.0(+15.0)#467	52.0(+14.0)#8,813
468.	19350	66.0	51.0(+15.0)#468	52.0(+14.0)#8,839
469.	18447	66.0	51.0(+15.0)#469	52.0(+14.0)#8,842
470.	17547	66.0	51.0(+15.0)#470	52.0(+14.0)#8,850
471.	19333	66.0	51.0(+15.0)#471	52.0(+14.0)#8,858
472.	17961	66.0	51.0(+15.0)#472	52.0(+14.0)#8,866
473.	17752	66.0	51.0(+15.0)#473	52.0(+14.0)#8,882
474.	18347	66.0	51.0(+15.0)#474	52.0(+14.0)#8,908
475.	18822	66.0	51.0(+15.0)#475	52.0(+14.0)#8,909
476.	15563	66.0	51.0(+15.0)#476	52.0(+14.0)#8,916
477.	17764	66.0	51.0(+15.0)#477	52.0(+14.0)#8,919
478.	16052	66.0	51.0(+15.0)#478	52.0(+14.0)#8,920
479.	17244	66.0	51.0(+15.0)#479	52.0(+14.0)#8,924
480.	17830	66.0	51.0(+15.0)#480	52.0(+14.0)#8,928
481.	15311	66.0	51.0(+15.0)#481	52.0(+14.0)#8,952
482.	15961	66.0	51.0(+15.0)#482	52.0(+14.0)#8,958
483.	15470	66.0	51.0(+15.0)#483	52.0(+14.0)#8,966
484.	18103	65.0	51.0(+14.0)#484	52.0(+13.0)#8,992
485.	18017	65.0	51.0(+14.0)#485	52.0(+13.0)#9,001
486.	15227	65.0	51.0(+14.0)#486	52.0(+13.0)#9,030
487.	17225	65.0	51.0(+14.0)#487	52.0(+13.0)#9,064
488.	16046	65.0	51.0(+14.0)#488	52.0(+13.0)#9,071
489.	15009	65.0	51.0(+14.0)#489	52.0(+13.0)#9,078
490.	16830	65.0	51.0(+14.0)#490	52.0(+13.0)#9,091
491.	17340	65.0	51.0(+14.0)#491	52.0(+13.0)#9,099
492.	15207	65.0	51.0(+14.0)#492	52.0(+13.0)#9,104
493.	17844	65.0	51.0(+14.0)#493	52.0(+13.0)#9,105
494.	16055	65.0	51.0(+14.0)#494	52.0(+13.0)#9,114
495.	18041	65.0	51.0(+14.0)#495	52.0(+13.0)#9,129
496.	19066	65.0	51.0(+14.0)#496	52.0(+13.0)#9,130
497.	16424	65.0	51.0(+14.0)#497	52.0(+13.0)#9,146
498.	18249	65.0	51.0(+14.0)#498	52.0(+13.0)#9,148
499.	17087	65.0	51.0(+14.0)#499	52.0(+13.0)#9,165
500.	16124	65.0	51.0(+14.0)#500	52.0(+13.0)#9,183

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