Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Pennsylvania [ 101 - 200 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	16695	145.0	53.0(+92.0)#101	53.0(+92.0)#1,867
102.	15688	145.0	53.0(+92.0)#102	53.0(+92.0)#1,868
103.	18469	145.0	53.0(+92.0)#103	53.0(+92.0)#1,872
104.	16102	143.0	53.0(+90.0)#104	53.0(+90.0)#1,907
105.	16420	143.0	53.0(+90.0)#105	53.0(+90.0)#1,926
106.	16638	143.0	53.0(+90.0)#106	53.0(+90.0)#1,937
107.	18250	141.0	53.0(+88.0)#107	53.0(+88.0)#1,967
108.	15773	141.0	53.0(+88.0)#108	53.0(+88.0)#1,979
109.	15464	138.0	53.0(+85.0)#109	53.0(+85.0)#2,063
110.	17005	138.0	53.0(+85.0)#110	53.0(+85.0)#2,077
111.	16061	137.0	53.0(+84.0)#111	53.0(+84.0)#2,087
112.	18930	137.0	53.0(+84.0)#112	53.0(+84.0)#2,088
113.	17582	137.0	53.0(+84.0)#113	53.0(+84.0)#2,095
114.	18462	136.0	53.0(+83.0)#114	53.0(+83.0)#2,135
115.	17309	135.0	53.0(+82.0)#115	53.0(+82.0)#2,153
116.	18854	135.0	53.0(+82.0)#116	53.0(+82.0)#2,159
117.	16246	135.0	53.0(+82.0)#117	53.0(+82.0)#2,184
118.	16633	134.0	53.0(+81.0)#118	53.0(+81.0)#2,207
119.	15943	133.0	53.0(+80.0)#119	53.0(+80.0)#2,223
120.	18331	132.0	53.0(+79.0)#120	53.0(+79.0)#2,275
121.	15944	130.0	53.0(+77.0)#121	53.0(+77.0)#2,312
122.	18629	130.0	53.0(+77.0)#122	53.0(+77.0)#2,320
123.	18465	130.0	53.0(+77.0)#123	53.0(+77.0)#2,331
124.	15677	130.0	53.0(+77.0)#124	53.0(+77.0)#2,348
125.	17555	129.0	53.0(+76.0)#125	53.0(+76.0)#2,358
126.	15684	129.0	53.0(+76.0)#126	53.0(+76.0)#2,382
127.	19549	129.0	53.0(+76.0)#127	53.0(+76.0)#2,383
128.	15089	128.0	53.0(+75.0)#128	53.0(+75.0)#2,393
129.	17535	128.0	53.0(+75.0)#129	53.0(+75.0)#2,402
130.	16647	127.0	53.0(+74.0)#130	53.0(+74.0)#2,458
131.	15429	127.0	53.0(+74.0)#131	53.0(+74.0)#2,467
132.	18622	127.0	53.0(+74.0)#132	53.0(+74.0)#2,471
133.	16314	126.0	53.0(+73.0)#133	53.0(+73.0)#2,480
134.	15691	126.0	53.0(+73.0)#134	53.0(+73.0)#2,498
135.	17872	125.0	53.0(+72.0)#135	53.0(+72.0)#2,503
136.	17813	125.0	53.0(+72.0)#136	53.0(+72.0)#2,528
137.	15455	125.0	53.0(+72.0)#137	53.0(+72.0)#2,533
138.	15863	125.0	53.0(+72.0)#138	53.0(+72.0)#2,550
139.	15610	124.0	53.0(+71.0)#139	53.0(+71.0)#2,567
140.	15076	124.0	53.0(+71.0)#140	53.0(+71.0)#2,591
141.	19137	123.0	53.0(+70.0)#141	53.0(+70.0)#2,605
142.	19539	122.0	53.0(+69.0)#142	53.0(+69.0)#2,658
143.	16920	122.0	53.0(+69.0)#143	53.0(+69.0)#2,668
144.	16827	121.0	53.0(+68.0)#144	53.0(+68.0)#2,696
145.	15739	121.0	53.0(+68.0)#145	53.0(+68.0)#2,729
146.	15229	120.0	53.0(+67.0)#146	53.0(+67.0)#2,735
147.	18218	120.0	53.0(+67.0)#147	53.0(+67.0)#2,745
148.	17758	120.0	53.0(+67.0)#148	53.0(+67.0)#2,752
149.	17032	119.0	53.0(+66.0)#149	53.0(+66.0)#2,770
150.	15477	119.0	53.0(+66.0)#150	53.0(+66.0)#2,792
151.	17049	118.0	53.0(+65.0)#151	53.0(+65.0)#2,820
152.	17040	118.0	53.0(+65.0)#152	53.0(+65.0)#2,826
153.	16932	118.0	53.0(+65.0)#153	53.0(+65.0)#2,847
154.	16334	118.0	53.0(+65.0)#154	53.0(+65.0)#2,853
155.	15612	118.0	53.0(+65.0)#155	53.0(+65.0)#2,855
156.	15540	118.0	53.0(+65.0)#156	53.0(+65.0)#2,857
157.	15333	117.0	53.0(+64.0)#157	53.0(+64.0)#2,895
158.	15050	116.0	53.0(+63.0)#158	53.0(+63.0)#2,930
159.	18445	116.0	53.0(+63.0)#159	53.0(+63.0)#2,931
160.	16435	116.0	53.0(+63.0)#160	53.0(+63.0)#2,934
161.	18453	116.0	53.0(+63.0)#161	53.0(+63.0)#2,937
162.	16679	116.0	53.0(+63.0)#162	53.0(+63.0)#2,949
163.	16882	116.0	53.0(+63.0)#163	53.0(+63.0)#2,953
164.	16689	116.0	53.0(+63.0)#164	53.0(+63.0)#2,954
165.	15220	115.0	53.0(+62.0)#165	53.0(+62.0)#2,961
166.	15955	115.0	53.0(+62.0)#166	53.0(+62.0)#2,985
167.	17505	115.0	53.0(+62.0)#167	53.0(+62.0)#2,986
168.	17080	115.0	53.0(+62.0)#168	53.0(+62.0)#3,012
169.	16242	114.0	53.0(+61.0)#169	53.0(+61.0)#3,034
170.	17860	114.0	53.0(+61.0)#170	53.0(+61.0)#3,041
171.	15725	114.0	53.0(+61.0)#171	53.0(+61.0)#3,049
172.	18220	114.0	53.0(+61.0)#172	53.0(+61.0)#3,063
173.	19025	113.0	53.0(+60.0)#173	53.0(+60.0)#3,077
174.	17835	113.0	53.0(+60.0)#174	53.0(+60.0)#3,114
175.	16662	112.0	53.0(+59.0)#175	53.0(+59.0)#3,133
176.	17747	112.0	53.0(+59.0)#176	53.0(+59.0)#3,141
177.	16829	112.0	53.0(+59.0)#177	53.0(+59.0)#3,173
178.	15948	112.0	53.0(+59.0)#178	53.0(+59.0)#3,174
179.	18451	112.0	53.0(+59.0)#179	53.0(+59.0)#3,176
180.	15120	111.0	53.0(+58.0)#180	53.0(+58.0)#3,182
181.	17051	111.0	53.0(+58.0)#181	53.0(+58.0)#3,193
182.	16053	111.0	53.0(+58.0)#182	53.0(+58.0)#3,200
183.	18833	111.0	53.0(+58.0)#183	53.0(+58.0)#3,206
184.	16255	111.0	53.0(+58.0)#184	53.0(+58.0)#3,207
185.	18631	111.0	53.0(+58.0)#185	53.0(+58.0)#3,212
186.	18846	111.0	53.0(+58.0)#186	53.0(+58.0)#3,220
187.	16372	111.0	53.0(+58.0)#187	53.0(+58.0)#3,222
188.	16422	111.0	53.0(+58.0)#188	53.0(+58.0)#3,237
189.	15345	110.0	53.0(+57.0)#189	53.0(+57.0)#3,291
190.	15551	110.0	53.0(+57.0)#190	53.0(+57.0)#3,304
191.	17532	109.0	53.0(+56.0)#191	53.0(+56.0)#3,323
192.	15681	108.0	53.0(+55.0)#192	53.0(+55.0)#3,392
193.	18471	108.0	53.0(+55.0)#193	53.0(+55.0)#3,423
194.	18202	107.0	53.0(+54.0)#194	53.0(+54.0)#3,428
195.	16142	107.0	53.0(+54.0)#195	53.0(+54.0)#3,443
196.	18240	107.0	53.0(+54.0)#196	53.0(+54.0)#3,449
197.	17964	107.0	53.0(+54.0)#197	53.0(+54.0)#3,489
198.	18466	106.0	53.0(+53.0)#198	53.0(+53.0)#3,511
199.	18302	106.0	53.0(+53.0)#199	53.0(+53.0)#3,512
200.	19032	106.0	53.0(+53.0)#200	53.0(+53.0)#3,520

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