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

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	27243	25.0	52.0(-27.0)#101	53.0(-28.0)#3,552
102.	28338	25.0	52.0(-27.0)#102	53.0(-28.0)#3,567
103.	28529	25.0	52.0(-27.0)#103	53.0(-28.0)#3,608
104.	28009	25.0	52.0(-27.0)#104	53.0(-28.0)#3,629
105.	28803	26.0	52.0(-26.0)#105	53.0(-27.0)#3,685
106.	28787	26.0	52.0(-26.0)#106	53.0(-27.0)#3,707
107.	27817	26.0	52.0(-26.0)#107	53.0(-27.0)#3,772
108.	28762	26.0	52.0(-26.0)#108	53.0(-27.0)#3,775
109.	28701	26.0	52.0(-26.0)#109	53.0(-27.0)#3,786
110.	27356	26.0	52.0(-26.0)#110	53.0(-27.0)#3,823
111.	28125	26.0	52.0(-26.0)#111	53.0(-27.0)#3,833
112.	28423	26.0	52.0(-26.0)#112	53.0(-27.0)#3,836
113.	27950	26.0	52.0(-26.0)#113	53.0(-27.0)#3,852
114.	28262	27.0	52.0(-25.0)#114	53.0(-26.0)#3,931
115.	27701	27.0	52.0(-25.0)#115	53.0(-26.0)#3,965
116.	27596	27.0	52.0(-25.0)#116	53.0(-26.0)#3,982
117.	27239	27.0	52.0(-25.0)#117	53.0(-26.0)#4,030
118.	28339	27.0	52.0(-25.0)#118	53.0(-26.0)#4,038
119.	28124	27.0	52.0(-25.0)#119	53.0(-26.0)#4,041
120.	27306	27.0	52.0(-25.0)#120	53.0(-26.0)#4,049
121.	28585	27.0	52.0(-25.0)#121	53.0(-26.0)#4,073
122.	28159	27.0	52.0(-25.0)#122	53.0(-26.0)#4,093
123.	27231	27.0	52.0(-25.0)#123	53.0(-26.0)#4,112
124.	27858	28.0	52.0(-24.0)#124	53.0(-25.0)#4,191
125.	28601	28.0	52.0(-24.0)#125	53.0(-25.0)#4,194
126.	27516	28.0	52.0(-24.0)#126	53.0(-25.0)#4,201
127.	28562	28.0	52.0(-24.0)#127	53.0(-25.0)#4,211
128.	28083	28.0	52.0(-24.0)#128	53.0(-25.0)#4,243
129.	28504	28.0	52.0(-24.0)#129	53.0(-25.0)#4,262
130.	27244	28.0	52.0(-24.0)#130	53.0(-25.0)#4,276
131.	28315	28.0	52.0(-24.0)#131	53.0(-25.0)#4,278
132.	28705	28.0	52.0(-24.0)#132	53.0(-25.0)#4,317
133.	28609	28.0	52.0(-24.0)#133	53.0(-25.0)#4,328
134.	27410	29.0	52.0(-23.0)#134	53.0(-24.0)#4,442
135.	27617	29.0	52.0(-23.0)#135	53.0(-24.0)#4,518
136.	27573	29.0	52.0(-23.0)#136	53.0(-24.0)#4,544
137.	28305	29.0	52.0(-23.0)#137	53.0(-24.0)#4,593
138.	28526	29.0	52.0(-23.0)#138	53.0(-24.0)#4,636
139.	28740	29.0	52.0(-23.0)#139	53.0(-24.0)#4,651
140.	27834	30.0	52.0(-22.0)#140	53.0(-23.0)#4,718
141.	28403	30.0	52.0(-22.0)#141	53.0(-23.0)#4,733
142.	27103	30.0	52.0(-22.0)#142	53.0(-23.0)#4,741
143.	28409	30.0	52.0(-22.0)#143	53.0(-23.0)#4,745
144.	28584	30.0	52.0(-22.0)#144	53.0(-23.0)#4,822
145.	28372	30.0	52.0(-22.0)#145	53.0(-23.0)#4,829
146.	27521	30.0	52.0(-22.0)#146	53.0(-23.0)#4,862
147.	28018	30.0	52.0(-22.0)#147	53.0(-23.0)#4,886
148.	28790	30.0	52.0(-22.0)#148	53.0(-23.0)#4,902
149.	28689	30.0	52.0(-22.0)#149	53.0(-23.0)#4,929
150.	28508	30.0	52.0(-22.0)#150	53.0(-23.0)#4,952
151.	27707	31.0	52.0(-21.0)#151	53.0(-22.0)#5,018
152.	27560	31.0	52.0(-21.0)#152	53.0(-22.0)#5,033
153.	27501	31.0	52.0(-21.0)#153	53.0(-22.0)#5,086
154.	27021	31.0	52.0(-21.0)#154	53.0(-22.0)#5,116
155.	28694	31.0	52.0(-21.0)#155	53.0(-22.0)#5,170
156.	27562	31.0	52.0(-21.0)#156	53.0(-22.0)#5,202
157.	27311	31.0	52.0(-21.0)#157	53.0(-22.0)#5,209
158.	28395	31.0	52.0(-21.0)#158	53.0(-22.0)#5,237
159.	27966	31.0	52.0(-21.0)#159	53.0(-22.0)#5,276
160.	27407	32.0	52.0(-20.0)#160	53.0(-21.0)#5,321
161.	27870	32.0	52.0(-20.0)#161	53.0(-21.0)#5,380
162.	28719	32.0	52.0(-20.0)#162	53.0(-21.0)#5,461
163.	27928	32.0	52.0(-20.0)#163	53.0(-21.0)#5,532
164.	28412	33.0	52.0(-19.0)#164	53.0(-20.0)#5,628
165.	27012	33.0	52.0(-19.0)#165	53.0(-20.0)#5,671
166.	28804	33.0	52.0(-19.0)#166	53.0(-20.0)#5,680
167.	27358	33.0	52.0(-19.0)#167	53.0(-20.0)#5,715
168.	27892	33.0	52.0(-19.0)#168	53.0(-20.0)#5,723
169.	28040	33.0	52.0(-19.0)#169	53.0(-20.0)#5,783
170.	27313	33.0	52.0(-19.0)#170	53.0(-20.0)#5,788
171.	27349	33.0	52.0(-19.0)#171	53.0(-20.0)#5,792
172.	27844	33.0	52.0(-19.0)#172	53.0(-20.0)#5,834
173.	28645	34.0	52.0(-18.0)#173	53.0(-19.0)#5,936
174.	28379	34.0	52.0(-18.0)#174	53.0(-19.0)#5,990
175.	28630	34.0	52.0(-18.0)#175	53.0(-19.0)#6,005
176.	27371	34.0	52.0(-18.0)#176	53.0(-19.0)#6,088
177.	27258	34.0	52.0(-18.0)#177	53.0(-19.0)#6,089
178.	27043	34.0	52.0(-18.0)#178	53.0(-19.0)#6,091
179.	28394	34.0	52.0(-18.0)#179	53.0(-19.0)#6,113
180.	27011	34.0	52.0(-18.0)#180	53.0(-19.0)#6,118
181.	28031	35.0	52.0(-17.0)#181	53.0(-18.0)#6,307
182.	27282	35.0	52.0(-17.0)#182	53.0(-18.0)#6,370
183.	27809	35.0	52.0(-17.0)#183	53.0(-18.0)#6,440
184.	27016	35.0	52.0(-17.0)#184	53.0(-18.0)#6,490
185.	28027	36.0	52.0(-16.0)#185	53.0(-17.0)#6,541
186.	28056	36.0	52.0(-16.0)#186	53.0(-17.0)#6,587
187.	27263	36.0	52.0(-16.0)#187	53.0(-17.0)#6,642
188.	27023	36.0	52.0(-16.0)#188	53.0(-17.0)#6,694
189.	28129	36.0	52.0(-16.0)#189	53.0(-17.0)#6,766
190.	28555	36.0	52.0(-16.0)#190	53.0(-17.0)#6,775
191.	27880	36.0	52.0(-16.0)#191	53.0(-17.0)#6,797
192.	28729	36.0	52.0(-16.0)#192	53.0(-17.0)#6,805
193.	28208	37.0	52.0(-15.0)#193	53.0(-16.0)#6,934
194.	27537	37.0	52.0(-15.0)#194	53.0(-16.0)#6,986
195.	28716	37.0	52.0(-15.0)#195	53.0(-16.0)#7,025
196.	28202	37.0	52.0(-15.0)#196	53.0(-16.0)#7,032
197.	27522	37.0	52.0(-15.0)#197	53.0(-16.0)#7,048
198.	28586	37.0	52.0(-15.0)#198	53.0(-16.0)#7,068
199.	28636	37.0	52.0(-15.0)#199	53.0(-16.0)#7,098
200.	27832	37.0	52.0(-15.0)#200	53.0(-16.0)#7,135

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