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

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	18840	21.0	53.0(-32.0)#101	53.0(-32.0)#2,486
102.	19526	21.0	53.0(-32.0)#102	53.0(-32.0)#2,487
103.	17538	21.0	53.0(-32.0)#103	53.0(-32.0)#2,508
104.	18507	21.0	53.0(-32.0)#104	53.0(-32.0)#2,530
105.	19507	21.0	53.0(-32.0)#105	53.0(-32.0)#2,559
106.	15759	21.0	53.0(-32.0)#106	53.0(-32.0)#2,567
107.	15958	21.0	53.0(-32.0)#107	53.0(-32.0)#2,580
108.	16340	21.0	53.0(-32.0)#108	53.0(-32.0)#2,588
109.	16258	21.0	53.0(-32.0)#109	53.0(-32.0)#2,597
110.	16029	21.0	53.0(-32.0)#110	53.0(-32.0)#2,629
111.	16803	22.0	53.0(-31.0)#111	53.0(-31.0)#2,677
112.	19061	22.0	53.0(-31.0)#112	53.0(-31.0)#2,687
113.	18337	22.0	53.0(-31.0)#113	53.0(-31.0)#2,702
114.	15330	22.0	53.0(-31.0)#114	53.0(-31.0)#2,757
115.	15557	22.0	53.0(-31.0)#115	53.0(-31.0)#2,781
116.	18092	22.0	53.0(-31.0)#116	53.0(-31.0)#2,788
117.	15732	22.0	53.0(-31.0)#117	53.0(-31.0)#2,833
118.	18425	22.0	53.0(-31.0)#118	53.0(-31.0)#2,856
119.	19473	23.0	53.0(-30.0)#119	53.0(-30.0)#2,955
120.	19055	23.0	53.0(-30.0)#120	53.0(-30.0)#2,970
121.	19004	23.0	53.0(-30.0)#121	53.0(-30.0)#2,984
122.	16033	23.0	53.0(-30.0)#122	53.0(-30.0)#3,006
123.	18106	23.0	53.0(-30.0)#123	53.0(-30.0)#3,014
124.	17948	23.0	53.0(-30.0)#124	53.0(-30.0)#3,041
125.	18942	23.0	53.0(-30.0)#125	53.0(-30.0)#3,066
126.	15428	23.0	53.0(-30.0)#126	53.0(-30.0)#3,084
127.	17058	23.0	53.0(-30.0)#127	53.0(-30.0)#3,092
128.	16930	23.0	53.0(-30.0)#128	53.0(-30.0)#3,102
129.	16160	23.0	53.0(-30.0)#129	53.0(-30.0)#3,112
130.	18085	23.0	53.0(-30.0)#130	53.0(-30.0)#3,113
131.	17213	23.0	53.0(-30.0)#131	53.0(-30.0)#3,125
132.	18015	24.0	53.0(-29.0)#132	53.0(-29.0)#3,157
133.	19103	24.0	53.0(-29.0)#133	53.0(-29.0)#3,174
134.	17356	24.0	53.0(-29.0)#134	53.0(-29.0)#3,177
135.	18902	24.0	53.0(-29.0)#135	53.0(-29.0)#3,178
136.	17104	24.0	53.0(-29.0)#136	53.0(-29.0)#3,186
137.	19081	24.0	53.0(-29.0)#137	53.0(-29.0)#3,225
138.	15005	24.0	53.0(-29.0)#138	53.0(-29.0)#3,231
139.	15627	24.0	53.0(-29.0)#139	53.0(-29.0)#3,253
140.	16038	24.0	53.0(-29.0)#140	53.0(-29.0)#3,291
141.	16153	24.0	53.0(-29.0)#141	53.0(-29.0)#3,315
142.	18656	24.0	53.0(-29.0)#142	53.0(-29.0)#3,319
143.	17264	24.0	53.0(-29.0)#143	53.0(-29.0)#3,321
144.	16317	24.0	53.0(-29.0)#144	53.0(-29.0)#3,344
145.	15427	24.0	53.0(-29.0)#145	53.0(-29.0)#3,362
146.	15641	24.0	53.0(-29.0)#146	53.0(-29.0)#3,380
147.	16238	24.0	53.0(-29.0)#147	53.0(-29.0)#3,383
148.	15213	25.0	53.0(-28.0)#148	53.0(-28.0)#3,416
149.	16701	25.0	53.0(-28.0)#149	53.0(-28.0)#3,470
150.	15332	25.0	53.0(-28.0)#150	53.0(-28.0)#3,509
151.	16673	25.0	53.0(-28.0)#151	53.0(-28.0)#3,549
152.	16442	25.0	53.0(-28.0)#152	53.0(-28.0)#3,574
153.	18322	25.0	53.0(-28.0)#153	53.0(-28.0)#3,579
154.	18372	25.0	53.0(-28.0)#154	53.0(-28.0)#3,580
155.	15233	25.0	53.0(-28.0)#155	53.0(-28.0)#3,582
156.	16342	25.0	53.0(-28.0)#156	53.0(-28.0)#3,593
157.	15864	25.0	53.0(-28.0)#157	53.0(-28.0)#3,606
158.	17238	25.0	53.0(-28.0)#158	53.0(-28.0)#3,607
159.	18826	25.0	53.0(-28.0)#159	53.0(-28.0)#3,614
160.	18915	25.0	53.0(-28.0)#160	53.0(-28.0)#3,621
161.	16729	25.0	53.0(-28.0)#161	53.0(-28.0)#3,648
162.	18845	25.0	53.0(-28.0)#162	53.0(-28.0)#3,656
163.	15337	25.0	53.0(-28.0)#163	53.0(-28.0)#3,657
164.	19454	26.0	53.0(-27.0)#164	53.0(-27.0)#3,694
165.	17036	26.0	53.0(-27.0)#165	53.0(-27.0)#3,708
166.	19044	26.0	53.0(-27.0)#166	53.0(-27.0)#3,730
167.	19530	26.0	53.0(-27.0)#167	53.0(-27.0)#3,740
168.	15234	26.0	53.0(-27.0)#168	53.0(-27.0)#3,742
169.	18436	26.0	53.0(-27.0)#169	53.0(-27.0)#3,747
170.	17003	26.0	53.0(-27.0)#170	53.0(-27.0)#3,749
171.	19317	26.0	53.0(-27.0)#171	53.0(-27.0)#3,755
172.	18032	26.0	53.0(-27.0)#172	53.0(-27.0)#3,761
173.	16214	26.0	53.0(-27.0)#173	53.0(-27.0)#3,765
174.	17059	26.0	53.0(-27.0)#174	53.0(-27.0)#3,770
175.	19541	26.0	53.0(-27.0)#175	53.0(-27.0)#3,801
176.	15459	26.0	53.0(-27.0)#176	53.0(-27.0)#3,853
177.	17237	26.0	53.0(-27.0)#177	53.0(-27.0)#3,856
178.	17983	26.0	53.0(-27.0)#178	53.0(-27.0)#3,865
179.	17774	26.0	53.0(-27.0)#179	53.0(-27.0)#3,879
180.	15225	26.0	53.0(-27.0)#180	53.0(-27.0)#3,880
181.	17212	26.0	53.0(-27.0)#181	53.0(-27.0)#3,895
182.	19465	27.0	53.0(-26.0)#182	53.0(-26.0)#3,983
183.	17236	27.0	53.0(-26.0)#183	53.0(-26.0)#4,027
184.	15104	27.0	53.0(-26.0)#184	53.0(-26.0)#4,028
185.	18947	27.0	53.0(-26.0)#185	53.0(-26.0)#4,040
186.	19029	27.0	53.0(-26.0)#186	53.0(-26.0)#4,071
187.	16327	27.0	53.0(-26.0)#187	53.0(-26.0)#4,101
188.	17224	27.0	53.0(-26.0)#188	53.0(-26.0)#4,119
189.	15765	27.0	53.0(-26.0)#189	53.0(-26.0)#4,123
190.	18626	27.0	53.0(-26.0)#190	53.0(-26.0)#4,174
191.	16801	28.0	53.0(-25.0)#191	53.0(-25.0)#4,204
192.	19138	28.0	53.0(-25.0)#192	53.0(-25.0)#4,224
193.	15535	28.0	53.0(-25.0)#193	53.0(-25.0)#4,376
194.	18351	28.0	53.0(-25.0)#194	53.0(-25.0)#4,419
195.	18030	28.0	53.0(-25.0)#195	53.0(-25.0)#4,421
196.	15001	29.0	53.0(-24.0)#196	53.0(-24.0)#4,471
197.	17046	29.0	53.0(-24.0)#197	53.0(-24.0)#4,473
198.	18020	29.0	53.0(-24.0)#198	53.0(-24.0)#4,508
199.	19610	29.0	53.0(-24.0)#199	53.0(-24.0)#4,526
200.	15632	29.0	53.0(-24.0)#200	53.0(-24.0)#4,561

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