Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Pennsylvania [ 601 - 700 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
601.	19373	44.0	31.0(+13.0)#601	32.0(+12.0)#11,158
602.	19115	45.0	31.0(+14.0)#602	32.0(+13.0)#11,221
603.	16506	45.0	31.0(+14.0)#603	32.0(+13.0)#11,246
604.	17033	45.0	31.0(+14.0)#604	32.0(+13.0)#11,264
605.	17067	45.0	31.0(+14.0)#605	32.0(+13.0)#11,267
606.	18403	45.0	31.0(+14.0)#606	32.0(+13.0)#11,313
607.	19567	45.0	31.0(+14.0)#607	32.0(+13.0)#11,316
608.	17304	45.0	31.0(+14.0)#608	32.0(+13.0)#11,338
609.	16877	45.0	31.0(+14.0)#609	32.0(+13.0)#11,350
610.	16029	45.0	31.0(+14.0)#610	32.0(+13.0)#11,364
611.	19124	46.0	31.0(+15.0)#611	32.0(+14.0)#11,380
612.	15237	46.0	31.0(+15.0)#612	32.0(+14.0)#11,403
613.	17042	46.0	31.0(+15.0)#613	32.0(+14.0)#11,413
614.	17015	46.0	31.0(+15.0)#614	32.0(+14.0)#11,448
615.	17401	46.0	31.0(+15.0)#615	32.0(+14.0)#11,463
616.	16648	46.0	31.0(+15.0)#616	32.0(+14.0)#11,476
617.	19036	46.0	31.0(+15.0)#617	32.0(+14.0)#11,480
618.	19311	46.0	31.0(+15.0)#618	32.0(+14.0)#11,484
619.	19034	46.0	31.0(+15.0)#619	32.0(+14.0)#11,499
620.	18419	46.0	31.0(+15.0)#620	32.0(+14.0)#11,511
621.	19132	47.0	31.0(+16.0)#621	32.0(+15.0)#11,566
622.	19122	47.0	31.0(+16.0)#622	32.0(+15.0)#11,584
623.	19525	47.0	31.0(+16.0)#623	32.0(+15.0)#11,606
624.	17566	47.0	31.0(+16.0)#624	32.0(+15.0)#11,620
625.	15207	47.0	31.0(+16.0)#625	32.0(+15.0)#11,627
626.	17363	47.0	31.0(+16.0)#626	32.0(+15.0)#11,632
627.	18518	47.0	31.0(+16.0)#627	32.0(+15.0)#11,635
628.	19075	47.0	31.0(+16.0)#628	32.0(+15.0)#11,638
629.	17569	47.0	31.0(+16.0)#629	32.0(+15.0)#11,641
630.	15089	47.0	31.0(+16.0)#630	32.0(+15.0)#11,646
631.	17062	47.0	31.0(+16.0)#631	32.0(+15.0)#11,658
632.	16053	47.0	31.0(+16.0)#632	32.0(+15.0)#11,662
633.	16133	47.0	31.0(+16.0)#633	32.0(+15.0)#11,678
634.	15675	47.0	31.0(+16.0)#634	32.0(+15.0)#11,679
635.	17978	47.0	31.0(+16.0)#635	32.0(+15.0)#11,686
636.	19123	48.0	31.0(+17.0)#636	32.0(+16.0)#11,757
637.	17961	48.0	31.0(+17.0)#637	32.0(+16.0)#11,797
638.	16142	48.0	31.0(+17.0)#638	32.0(+16.0)#11,805
639.	18336	48.0	31.0(+17.0)#639	32.0(+16.0)#11,810
640.	16210	48.0	31.0(+17.0)#640	32.0(+16.0)#11,847
641.	19335	49.0	31.0(+18.0)#641	32.0(+17.0)#11,869
642.	19145	49.0	31.0(+18.0)#642	32.0(+17.0)#11,877
643.	19026	49.0	31.0(+18.0)#643	32.0(+17.0)#11,895
644.	16510	49.0	31.0(+18.0)#644	32.0(+17.0)#11,920
645.	19348	49.0	31.0(+18.0)#645	32.0(+17.0)#11,922
646.	15241	49.0	31.0(+18.0)#646	32.0(+17.0)#11,928
647.	15120	49.0	31.0(+18.0)#647	32.0(+17.0)#11,942
648.	16201	49.0	31.0(+18.0)#648	32.0(+17.0)#11,948
649.	15084	49.0	31.0(+18.0)#649	32.0(+17.0)#11,960
650.	18848	49.0	31.0(+18.0)#650	32.0(+17.0)#11,965
651.	17102	49.0	31.0(+18.0)#651	32.0(+17.0)#11,967
652.	17555	49.0	31.0(+18.0)#652	32.0(+17.0)#11,969
653.	16037	49.0	31.0(+18.0)#653	32.0(+17.0)#11,979
654.	17856	49.0	31.0(+18.0)#654	32.0(+17.0)#11,994
655.	17859	49.0	31.0(+18.0)#655	32.0(+17.0)#11,996
656.	19047	50.0	31.0(+19.0)#656	32.0(+18.0)#12,046
657.	19438	50.0	31.0(+19.0)#657	32.0(+18.0)#12,070
658.	16148	50.0	31.0(+19.0)#658	32.0(+18.0)#12,100
659.	18255	50.0	31.0(+19.0)#659	32.0(+18.0)#12,141
660.	16421	50.0	31.0(+19.0)#660	32.0(+18.0)#12,152
661.	17602	51.0	31.0(+20.0)#661	32.0(+19.0)#12,194
662.	15202	51.0	31.0(+20.0)#662	32.0(+19.0)#12,249
663.	18013	51.0	31.0(+20.0)#663	32.0(+19.0)#12,253
664.	16143	51.0	31.0(+20.0)#664	32.0(+19.0)#12,299
665.	16823	52.0	31.0(+21.0)#665	32.0(+20.0)#12,357
666.	16509	52.0	31.0(+21.0)#666	32.0(+20.0)#12,359
667.	19014	52.0	31.0(+21.0)#667	32.0(+20.0)#12,373
668.	19428	52.0	31.0(+21.0)#668	32.0(+20.0)#12,375
669.	19027	52.0	31.0(+21.0)#669	32.0(+20.0)#12,378
670.	17090	52.0	31.0(+21.0)#670	32.0(+20.0)#12,410
671.	17344	52.0	31.0(+21.0)#671	32.0(+20.0)#12,420
672.	17864	52.0	31.0(+21.0)#672	32.0(+20.0)#12,425
673.	18077	52.0	31.0(+21.0)#673	32.0(+20.0)#12,426
674.	19146	53.0	31.0(+22.0)#674	32.0(+21.0)#12,455
675.	15227	53.0	31.0(+22.0)#675	32.0(+21.0)#12,467
676.	15143	53.0	31.0(+22.0)#676	32.0(+21.0)#12,482
677.	19342	53.0	31.0(+22.0)#677	32.0(+21.0)#12,487
678.	19605	53.0	31.0(+22.0)#678	32.0(+21.0)#12,488
679.	15851	53.0	31.0(+22.0)#679	32.0(+21.0)#12,527
680.	18636	53.0	31.0(+22.0)#680	32.0(+21.0)#12,557
681.	18045	54.0	31.0(+23.0)#681	32.0(+22.0)#12,605
682.	18706	54.0	31.0(+23.0)#682	32.0(+22.0)#12,623
683.	19462	54.0	31.0(+23.0)#683	32.0(+22.0)#12,624
684.	16511	54.0	31.0(+23.0)#684	32.0(+22.0)#12,631
685.	18644	54.0	31.0(+23.0)#685	32.0(+22.0)#12,646
686.	19066	54.0	31.0(+23.0)#686	32.0(+22.0)#12,653
687.	15774	54.0	31.0(+23.0)#687	32.0(+22.0)#12,668
688.	17830	54.0	31.0(+23.0)#688	32.0(+22.0)#12,670
689.	18632	54.0	31.0(+23.0)#689	32.0(+22.0)#12,691
690.	17601	55.0	31.0(+24.0)#690	32.0(+23.0)#12,700
691.	17050	55.0	31.0(+24.0)#691	32.0(+23.0)#12,707
692.	19078	55.0	31.0(+24.0)#692	32.0(+23.0)#12,763
693.	19041	55.0	31.0(+24.0)#693	32.0(+23.0)#12,783
694.	18445	55.0	31.0(+24.0)#694	32.0(+23.0)#12,803
695.	18966	56.0	31.0(+25.0)#695	32.0(+24.0)#12,830
696.	19087	56.0	31.0(+25.0)#696	32.0(+24.0)#12,834
697.	19040	56.0	31.0(+25.0)#697	32.0(+24.0)#12,856
698.	17821	56.0	31.0(+25.0)#698	32.0(+24.0)#12,861
699.	19057	56.0	31.0(+25.0)#699	32.0(+24.0)#12,863
700.	19343	56.0	31.0(+25.0)#700	32.0(+24.0)#12,888

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