Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Pennsylvania [ 101 - 200 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	19526	20.0	51.0(-31.0)#101	52.0(-32.0)#2,373
102.	17963	20.0	51.0(-31.0)#102	52.0(-32.0)#2,382
103.	16214	20.0	51.0(-31.0)#103	52.0(-32.0)#2,383
104.	17363	20.0	51.0(-31.0)#104	52.0(-32.0)#2,385
105.	15478	20.0	51.0(-31.0)#105	52.0(-32.0)#2,405
106.	15901	20.0	51.0(-31.0)#106	52.0(-32.0)#2,439
107.	17026	20.0	51.0(-31.0)#107	52.0(-32.0)#2,440
108.	17967	20.0	51.0(-31.0)#108	52.0(-32.0)#2,461
109.	16627	20.0	51.0(-31.0)#109	52.0(-32.0)#2,470
110.	15344	20.0	51.0(-31.0)#110	52.0(-32.0)#2,486
111.	17959	20.0	51.0(-31.0)#111	52.0(-32.0)#2,499
112.	16634	20.0	51.0(-31.0)#112	52.0(-32.0)#2,550
113.	18510	21.0	51.0(-30.0)#113	52.0(-31.0)#2,606
114.	18840	21.0	51.0(-30.0)#114	52.0(-31.0)#2,617
115.	17538	21.0	51.0(-30.0)#115	52.0(-31.0)#2,640
116.	18507	21.0	51.0(-30.0)#116	52.0(-31.0)#2,661
117.	19507	21.0	51.0(-30.0)#117	52.0(-31.0)#2,695
118.	15759	21.0	51.0(-30.0)#118	52.0(-31.0)#2,702
119.	15958	21.0	51.0(-30.0)#119	52.0(-31.0)#2,715
120.	16340	21.0	51.0(-30.0)#120	52.0(-31.0)#2,723
121.	16258	21.0	51.0(-30.0)#121	52.0(-31.0)#2,732
122.	19009	21.0	51.0(-30.0)#122	52.0(-31.0)#2,756
123.	16029	21.0	51.0(-30.0)#123	52.0(-31.0)#2,766
124.	16803	22.0	51.0(-29.0)#124	52.0(-30.0)#2,815
125.	19061	22.0	51.0(-29.0)#125	52.0(-30.0)#2,823
126.	18337	22.0	51.0(-29.0)#126	52.0(-30.0)#2,840
127.	15330	22.0	51.0(-29.0)#127	52.0(-30.0)#2,895
128.	15557	22.0	51.0(-29.0)#128	52.0(-30.0)#2,918
129.	18092	22.0	51.0(-29.0)#129	52.0(-30.0)#2,926
130.	15732	22.0	51.0(-29.0)#130	52.0(-30.0)#2,969
131.	18425	22.0	51.0(-29.0)#131	52.0(-30.0)#2,991
132.	19103	23.0	51.0(-28.0)#132	52.0(-29.0)#3,080
133.	17104	23.0	51.0(-28.0)#133	52.0(-29.0)#3,090
134.	19473	23.0	51.0(-28.0)#134	52.0(-29.0)#3,100
135.	16701	23.0	51.0(-28.0)#135	52.0(-29.0)#3,104
136.	19055	23.0	51.0(-28.0)#136	52.0(-29.0)#3,117
137.	19004	23.0	51.0(-28.0)#137	52.0(-29.0)#3,134
138.	16033	23.0	51.0(-28.0)#138	52.0(-29.0)#3,158
139.	18106	23.0	51.0(-28.0)#139	52.0(-29.0)#3,166
140.	17948	23.0	51.0(-28.0)#140	52.0(-29.0)#3,193
141.	18942	23.0	51.0(-28.0)#141	52.0(-29.0)#3,219
142.	15428	23.0	51.0(-28.0)#142	52.0(-29.0)#3,239
143.	17058	23.0	51.0(-28.0)#143	52.0(-29.0)#3,247
144.	16930	23.0	51.0(-28.0)#144	52.0(-29.0)#3,259
145.	16160	23.0	51.0(-28.0)#145	52.0(-29.0)#3,270
146.	18085	23.0	51.0(-28.0)#146	52.0(-29.0)#3,271
147.	17213	23.0	51.0(-28.0)#147	52.0(-29.0)#3,283
148.	17356	24.0	51.0(-27.0)#148	52.0(-28.0)#3,334
149.	18902	24.0	51.0(-27.0)#149	52.0(-28.0)#3,335
150.	19610	24.0	51.0(-27.0)#150	52.0(-28.0)#3,360
151.	15005	24.0	51.0(-27.0)#151	52.0(-28.0)#3,388
152.	15627	24.0	51.0(-27.0)#152	52.0(-28.0)#3,412
153.	16038	24.0	51.0(-27.0)#153	52.0(-28.0)#3,450
154.	16153	24.0	51.0(-27.0)#154	52.0(-28.0)#3,472
155.	18656	24.0	51.0(-27.0)#155	52.0(-28.0)#3,476
156.	17264	24.0	51.0(-27.0)#156	52.0(-28.0)#3,478
157.	16317	24.0	51.0(-27.0)#157	52.0(-28.0)#3,500
158.	15427	24.0	51.0(-27.0)#158	52.0(-28.0)#3,518
159.	15641	24.0	51.0(-27.0)#159	52.0(-28.0)#3,536
160.	16238	24.0	51.0(-27.0)#160	52.0(-28.0)#3,539
161.	15332	25.0	51.0(-26.0)#161	52.0(-27.0)#3,669
162.	16673	25.0	51.0(-26.0)#162	52.0(-27.0)#3,710
163.	16442	25.0	51.0(-26.0)#163	52.0(-27.0)#3,734
164.	18322	25.0	51.0(-26.0)#164	52.0(-27.0)#3,739
165.	18372	25.0	51.0(-26.0)#165	52.0(-27.0)#3,740
166.	15233	25.0	51.0(-26.0)#166	52.0(-27.0)#3,742
167.	16342	25.0	51.0(-26.0)#167	52.0(-27.0)#3,753
168.	15864	25.0	51.0(-26.0)#168	52.0(-27.0)#3,766
169.	17238	25.0	51.0(-26.0)#169	52.0(-27.0)#3,767
170.	18826	25.0	51.0(-26.0)#170	52.0(-27.0)#3,775
171.	18915	25.0	51.0(-26.0)#171	52.0(-27.0)#3,781
172.	16729	25.0	51.0(-26.0)#172	52.0(-27.0)#3,807
173.	18845	25.0	51.0(-26.0)#173	52.0(-27.0)#3,815
174.	15337	25.0	51.0(-26.0)#174	52.0(-27.0)#3,816
175.	16801	26.0	51.0(-25.0)#175	52.0(-26.0)#3,835
176.	19454	26.0	51.0(-25.0)#176	52.0(-26.0)#3,862
177.	17036	26.0	51.0(-25.0)#177	52.0(-26.0)#3,875
178.	19044	26.0	51.0(-25.0)#178	52.0(-26.0)#3,895
179.	15234	26.0	51.0(-25.0)#179	52.0(-26.0)#3,908
180.	18436	26.0	51.0(-25.0)#180	52.0(-26.0)#3,912
181.	19352	26.0	51.0(-25.0)#181	52.0(-26.0)#3,919
182.	19317	26.0	51.0(-25.0)#182	52.0(-26.0)#3,922
183.	18032	26.0	51.0(-25.0)#183	52.0(-26.0)#3,928
184.	17059	26.0	51.0(-25.0)#184	52.0(-26.0)#3,935
185.	19541	26.0	51.0(-25.0)#185	52.0(-26.0)#3,969
186.	17028	26.0	51.0(-25.0)#186	52.0(-26.0)#3,986
187.	16327	26.0	51.0(-25.0)#187	52.0(-26.0)#4,006
188.	15459	26.0	51.0(-25.0)#188	52.0(-26.0)#4,024
189.	17983	26.0	51.0(-25.0)#189	52.0(-26.0)#4,036
190.	17774	26.0	51.0(-25.0)#190	52.0(-26.0)#4,050
191.	15225	26.0	51.0(-25.0)#191	52.0(-26.0)#4,051
192.	17212	26.0	51.0(-25.0)#192	52.0(-26.0)#4,066
193.	19138	27.0	51.0(-24.0)#193	52.0(-25.0)#4,119
194.	17815	27.0	51.0(-24.0)#194	52.0(-25.0)#4,123
195.	18020	27.0	51.0(-24.0)#195	52.0(-25.0)#4,148
196.	19465	27.0	51.0(-24.0)#196	52.0(-25.0)#4,157
197.	15232	27.0	51.0(-24.0)#197	52.0(-25.0)#4,187
198.	17236	27.0	51.0(-24.0)#198	52.0(-25.0)#4,206
199.	15104	27.0	51.0(-24.0)#199	52.0(-25.0)#4,207
200.	18947	27.0	51.0(-24.0)#200	52.0(-25.0)#4,219

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