Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Pennsylvania [ 101 - 200 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	17249	85.0	31.0(+54.0)#101	32.0(+53.0)#2,043
102.	16662	84.0	31.0(+53.0)#102	32.0(+52.0)#2,061
103.	16928	84.0	31.0(+53.0)#103	32.0(+52.0)#2,074
104.	19086	83.0	31.0(+52.0)#104	32.0(+51.0)#2,085
105.	17339	82.0	31.0(+51.0)#105	32.0(+50.0)#2,146
106.	16929	82.0	31.0(+51.0)#106	32.0(+50.0)#2,156
107.	17319	81.0	31.0(+50.0)#107	32.0(+49.0)#2,183
108.	19021	81.0	31.0(+50.0)#108	32.0(+49.0)#2,186
109.	17554	81.0	31.0(+50.0)#109	32.0(+49.0)#2,189
110.	17364	81.0	31.0(+50.0)#110	32.0(+49.0)#2,197
111.	19125	80.0	31.0(+49.0)#111	32.0(+48.0)#2,215
112.	15009	80.0	31.0(+49.0)#112	32.0(+48.0)#2,221
113.	15825	80.0	31.0(+49.0)#113	32.0(+48.0)#2,225
114.	17260	80.0	31.0(+49.0)#114	32.0(+48.0)#2,251
115.	17851	79.0	31.0(+48.0)#115	32.0(+47.0)#2,281
116.	18250	79.0	31.0(+48.0)#116	32.0(+47.0)#2,295
117.	15085	78.0	31.0(+47.0)#117	32.0(+46.0)#2,327
118.	18343	78.0	31.0(+47.0)#118	32.0(+46.0)#2,334
119.	16228	77.0	31.0(+46.0)#119	32.0(+45.0)#2,403
120.	18042	76.0	31.0(+45.0)#120	32.0(+44.0)#2,412
121.	19154	76.0	31.0(+45.0)#121	32.0(+44.0)#2,414
122.	16504	76.0	31.0(+45.0)#122	32.0(+44.0)#2,426
123.	15215	76.0	31.0(+45.0)#123	32.0(+44.0)#2,431
124.	19382	75.0	31.0(+44.0)#124	32.0(+43.0)#2,457
125.	18847	75.0	31.0(+44.0)#125	32.0(+43.0)#2,490
126.	17837	74.0	31.0(+43.0)#126	32.0(+42.0)#2,534
127.	19330	74.0	31.0(+43.0)#127	32.0(+42.0)#2,551
128.	18972	74.0	31.0(+43.0)#128	32.0(+42.0)#2,558
129.	17981	74.0	31.0(+43.0)#129	32.0(+42.0)#2,562
130.	15765	74.0	31.0(+43.0)#130	32.0(+42.0)#2,569
131.	17968	74.0	31.0(+43.0)#131	32.0(+42.0)#2,580
132.	18615	73.0	31.0(+42.0)#132	32.0(+41.0)#2,644
133.	16726	73.0	31.0(+42.0)#133	32.0(+41.0)#2,657
134.	19050	72.0	31.0(+41.0)#134	32.0(+40.0)#2,668
135.	19137	72.0	31.0(+41.0)#135	32.0(+40.0)#2,687
136.	15477	72.0	31.0(+41.0)#136	32.0(+40.0)#2,709
137.	15229	71.0	31.0(+40.0)#137	32.0(+39.0)#2,728
138.	18447	71.0	31.0(+40.0)#138	32.0(+39.0)#2,735
139.	18344	70.0	31.0(+39.0)#139	32.0(+38.0)#2,833
140.	15923	70.0	31.0(+39.0)#140	32.0(+38.0)#2,841
141.	15131	69.0	31.0(+38.0)#141	32.0(+37.0)#2,893
142.	19147	68.0	31.0(+37.0)#142	32.0(+36.0)#2,927
143.	19106	68.0	31.0(+37.0)#143	32.0(+36.0)#2,950
144.	15063	68.0	31.0(+37.0)#144	32.0(+36.0)#2,952
145.	15126	68.0	31.0(+37.0)#145	32.0(+36.0)#2,960
146.	19127	68.0	31.0(+37.0)#146	32.0(+36.0)#2,963
147.	17772	68.0	31.0(+37.0)#147	32.0(+36.0)#2,972
148.	15352	68.0	31.0(+37.0)#148	32.0(+36.0)#2,989
149.	19073	67.0	31.0(+36.0)#149	32.0(+35.0)#3,020
150.	19422	67.0	31.0(+36.0)#150	32.0(+35.0)#3,024
151.	15017	67.0	31.0(+36.0)#151	32.0(+35.0)#3,029
152.	18041	67.0	31.0(+36.0)#152	32.0(+35.0)#3,048
153.	16314	67.0	31.0(+36.0)#153	32.0(+35.0)#3,049
154.	15714	67.0	31.0(+36.0)#154	32.0(+35.0)#3,051
155.	15213	66.0	31.0(+35.0)#155	32.0(+34.0)#3,104
156.	15220	66.0	31.0(+35.0)#156	32.0(+34.0)#3,113
157.	18472	66.0	31.0(+35.0)#157	32.0(+34.0)#3,132
158.	18509	65.0	31.0(+34.0)#158	32.0(+33.0)#3,208
159.	15204	65.0	31.0(+34.0)#159	32.0(+33.0)#3,221
160.	17752	65.0	31.0(+34.0)#160	32.0(+33.0)#3,228
161.	16401	65.0	31.0(+34.0)#161	32.0(+33.0)#3,234
162.	19128	64.0	31.0(+33.0)#162	32.0(+32.0)#3,278
163.	18330	64.0	31.0(+33.0)#163	32.0(+32.0)#3,311
164.	15860	64.0	31.0(+33.0)#164	32.0(+32.0)#3,337
165.	15101	63.0	31.0(+32.0)#165	32.0(+31.0)#3,368
166.	19341	63.0	31.0(+32.0)#166	32.0(+31.0)#3,376
167.	19440	63.0	31.0(+32.0)#167	32.0(+31.0)#3,378
168.	18414	63.0	31.0(+32.0)#168	32.0(+31.0)#3,404
169.	18434	63.0	31.0(+32.0)#169	32.0(+31.0)#3,413
170.	17964	63.0	31.0(+32.0)#170	32.0(+31.0)#3,438
171.	18602	63.0	31.0(+32.0)#171	32.0(+31.0)#3,444
172.	19460	62.0	31.0(+31.0)#172	32.0(+30.0)#3,455
173.	18017	62.0	31.0(+31.0)#173	32.0(+30.0)#3,457
174.	18707	62.0	31.0(+31.0)#174	32.0(+30.0)#3,480
175.	16428	62.0	31.0(+31.0)#175	32.0(+30.0)#3,486
176.	18512	62.0	31.0(+31.0)#176	32.0(+30.0)#3,487
177.	18623	62.0	31.0(+31.0)#177	32.0(+30.0)#3,527
178.	18030	62.0	31.0(+31.0)#178	32.0(+30.0)#3,535
179.	19083	61.0	31.0(+30.0)#179	32.0(+29.0)#3,550
180.	19601	61.0	31.0(+30.0)#180	32.0(+29.0)#3,551
181.	19116	61.0	31.0(+30.0)#181	32.0(+29.0)#3,555
182.	18466	61.0	31.0(+30.0)#182	32.0(+29.0)#3,584
183.	15437	61.0	31.0(+30.0)#183	32.0(+29.0)#3,617
184.	16878	61.0	31.0(+30.0)#184	32.0(+29.0)#3,623
185.	16932	61.0	31.0(+30.0)#185	32.0(+29.0)#3,629
186.	17221	61.0	31.0(+30.0)#186	32.0(+29.0)#3,634
187.	15116	60.0	31.0(+29.0)#187	32.0(+28.0)#3,675
188.	16693	60.0	31.0(+29.0)#188	32.0(+28.0)#3,697
189.	16134	60.0	31.0(+29.0)#189	32.0(+28.0)#3,699
190.	18436	59.0	31.0(+28.0)#190	32.0(+27.0)#3,783
191.	16866	59.0	31.0(+28.0)#191	32.0(+27.0)#3,788
192.	15438	59.0	31.0(+28.0)#192	32.0(+27.0)#3,812
193.	17086	59.0	31.0(+28.0)#193	32.0(+27.0)#3,813
194.	17845	59.0	31.0(+28.0)#194	32.0(+27.0)#3,814
195.	15771	59.0	31.0(+28.0)#195	32.0(+27.0)#3,829
196.	19095	58.0	31.0(+27.0)#196	32.0(+26.0)#3,909
197.	16841	58.0	31.0(+27.0)#197	32.0(+26.0)#3,911
198.	17960	58.0	31.0(+27.0)#198	32.0(+26.0)#3,919
199.	16749	58.0	31.0(+27.0)#199	32.0(+26.0)#3,922
200.	17048	58.0	31.0(+27.0)#200	32.0(+26.0)#3,925

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