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

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	48380	25.0	53.0(-28.0)#101	53.0(-28.0)#3,515
102.	49021	25.0	53.0(-28.0)#102	53.0(-28.0)#3,531
103.	49446	25.0	53.0(-28.0)#103	53.0(-28.0)#3,594
104.	49130	25.0	53.0(-28.0)#104	53.0(-28.0)#3,625
105.	49822	25.0	53.0(-28.0)#105	53.0(-28.0)#3,668
106.	49437	26.0	53.0(-27.0)#106	53.0(-27.0)#3,777
107.	49781	26.0	53.0(-27.0)#107	53.0(-27.0)#3,812
108.	49925	26.0	53.0(-27.0)#108	53.0(-27.0)#3,898
109.	49728	26.0	53.0(-27.0)#109	53.0(-27.0)#3,913
110.	48205	27.0	53.0(-26.0)#110	53.0(-26.0)#3,948
111.	49525	27.0	53.0(-26.0)#111	53.0(-26.0)#3,949
112.	48130	27.0	53.0(-26.0)#112	53.0(-26.0)#3,988
113.	49461	27.0	53.0(-26.0)#113	53.0(-26.0)#4,018
114.	49740	27.0	53.0(-26.0)#114	53.0(-26.0)#4,032
115.	49659	27.0	53.0(-26.0)#115	53.0(-26.0)#4,035
116.	48650	27.0	53.0(-26.0)#116	53.0(-26.0)#4,039
117.	48893	27.0	53.0(-26.0)#117	53.0(-26.0)#4,057
118.	48647	27.0	53.0(-26.0)#118	53.0(-26.0)#4,067
119.	49117	27.0	53.0(-26.0)#119	53.0(-26.0)#4,079
120.	49229	27.0	53.0(-26.0)#120	53.0(-26.0)#4,080
121.	48022	27.0	53.0(-26.0)#121	53.0(-26.0)#4,103
122.	48815	27.0	53.0(-26.0)#122	53.0(-26.0)#4,110
123.	49322	27.0	53.0(-26.0)#123	53.0(-26.0)#4,143
124.	49701	27.0	53.0(-26.0)#124	53.0(-26.0)#4,161
125.	49626	27.0	53.0(-26.0)#125	53.0(-26.0)#4,184
126.	49203	28.0	53.0(-25.0)#126	53.0(-25.0)#4,214
127.	49107	28.0	53.0(-25.0)#127	53.0(-25.0)#4,299
128.	48218	28.0	53.0(-25.0)#128	53.0(-25.0)#4,315
129.	49727	28.0	53.0(-25.0)#129	53.0(-25.0)#4,316
130.	49106	28.0	53.0(-25.0)#130	53.0(-25.0)#4,331
131.	48179	28.0	53.0(-25.0)#131	53.0(-25.0)#4,353
132.	49128	28.0	53.0(-25.0)#132	53.0(-25.0)#4,354
133.	49272	28.0	53.0(-25.0)#133	53.0(-25.0)#4,365
134.	48767	28.0	53.0(-25.0)#134	53.0(-25.0)#4,374
135.	49656	28.0	53.0(-25.0)#135	53.0(-25.0)#4,383
136.	48237	29.0	53.0(-24.0)#136	53.0(-24.0)#4,480
137.	49006	29.0	53.0(-24.0)#137	53.0(-24.0)#4,492
138.	48045	29.0	53.0(-24.0)#138	53.0(-24.0)#4,497
139.	49345	29.0	53.0(-24.0)#139	53.0(-24.0)#4,538
140.	48455	29.0	53.0(-24.0)#140	53.0(-24.0)#4,567
141.	48353	29.0	53.0(-24.0)#141	53.0(-24.0)#4,575
142.	48421	29.0	53.0(-24.0)#142	53.0(-24.0)#4,580
143.	48371	30.0	53.0(-23.0)#143	53.0(-23.0)#4,769
144.	48623	30.0	53.0(-23.0)#144	53.0(-23.0)#4,814
145.	48025	30.0	53.0(-23.0)#145	53.0(-23.0)#4,817
146.	49302	30.0	53.0(-23.0)#146	53.0(-23.0)#4,844
147.	49749	30.0	53.0(-23.0)#147	53.0(-23.0)#4,885
148.	49064	30.0	53.0(-23.0)#148	53.0(-23.0)#4,894
149.	49092	30.0	53.0(-23.0)#149	53.0(-23.0)#4,942
150.	48865	30.0	53.0(-23.0)#150	53.0(-23.0)#4,945
151.	49733	30.0	53.0(-23.0)#151	53.0(-23.0)#4,954
152.	48236	31.0	53.0(-22.0)#152	53.0(-22.0)#5,051
153.	49686	31.0	53.0(-22.0)#153	53.0(-22.0)#5,073
154.	48009	31.0	53.0(-22.0)#154	53.0(-22.0)#5,092
155.	48094	31.0	53.0(-22.0)#155	53.0(-22.0)#5,098
156.	48225	31.0	53.0(-22.0)#156	53.0(-22.0)#5,119
157.	49849	31.0	53.0(-22.0)#157	53.0(-22.0)#5,138
158.	48017	31.0	53.0(-22.0)#158	53.0(-22.0)#5,141
159.	48131	31.0	53.0(-22.0)#159	53.0(-22.0)#5,162
160.	49913	31.0	53.0(-22.0)#160	53.0(-22.0)#5,168
161.	48881	31.0	53.0(-22.0)#161	53.0(-22.0)#5,177
162.	48755	31.0	53.0(-22.0)#162	53.0(-22.0)#5,228
163.	49034	31.0	53.0(-22.0)#163	53.0(-22.0)#5,241
164.	49879	31.0	53.0(-22.0)#164	53.0(-22.0)#5,279
165.	49927	31.0	53.0(-22.0)#165	53.0(-22.0)#5,306
166.	49201	32.0	53.0(-21.0)#166	53.0(-21.0)#5,328
167.	48168	32.0	53.0(-21.0)#167	53.0(-21.0)#5,378
168.	48076	32.0	53.0(-21.0)#168	53.0(-21.0)#5,385
169.	49331	32.0	53.0(-21.0)#169	53.0(-21.0)#5,406
170.	48034	32.0	53.0(-21.0)#170	53.0(-21.0)#5,413
171.	48065	32.0	53.0(-21.0)#171	53.0(-21.0)#5,430
172.	49460	32.0	53.0(-21.0)#172	53.0(-21.0)#5,441
173.	48436	32.0	53.0(-21.0)#173	53.0(-21.0)#5,494
174.	49403	32.0	53.0(-21.0)#174	53.0(-21.0)#5,512
175.	49338	32.0	53.0(-21.0)#175	53.0(-21.0)#5,541
176.	48748	32.0	53.0(-21.0)#176	53.0(-21.0)#5,545
177.	49126	32.0	53.0(-21.0)#177	53.0(-21.0)#5,547
178.	49847	32.0	53.0(-21.0)#178	53.0(-21.0)#5,558
179.	48613	32.0	53.0(-21.0)#179	53.0(-21.0)#5,562
180.	48178	33.0	53.0(-20.0)#180	53.0(-20.0)#5,637
181.	49855	33.0	53.0(-20.0)#181	53.0(-20.0)#5,648
182.	48083	33.0	53.0(-20.0)#182	53.0(-20.0)#5,684
183.	49685	33.0	53.0(-20.0)#183	53.0(-20.0)#5,694
184.	48166	33.0	53.0(-20.0)#184	53.0(-20.0)#5,732
185.	49837	33.0	53.0(-20.0)#185	53.0(-20.0)#5,757
186.	49055	33.0	53.0(-20.0)#186	53.0(-20.0)#5,795
187.	48414	33.0	53.0(-20.0)#187	53.0(-20.0)#5,839
188.	48195	34.0	53.0(-19.0)#188	53.0(-19.0)#5,973
189.	48184	34.0	53.0(-19.0)#189	53.0(-19.0)#6,019
190.	49408	34.0	53.0(-19.0)#190	53.0(-19.0)#6,063
191.	49007	34.0	53.0(-19.0)#191	53.0(-19.0)#6,064
192.	49946	34.0	53.0(-19.0)#192	53.0(-19.0)#6,127
193.	49617	34.0	53.0(-19.0)#193	53.0(-19.0)#6,142
194.	49945	34.0	53.0(-19.0)#194	53.0(-19.0)#6,153
195.	49234	34.0	53.0(-19.0)#195	53.0(-19.0)#6,159
196.	48032	34.0	53.0(-19.0)#196	53.0(-19.0)#6,177
197.	48885	34.0	53.0(-19.0)#197	53.0(-19.0)#6,197
198.	48853	34.0	53.0(-19.0)#198	53.0(-19.0)#6,212
199.	49504	35.0	53.0(-18.0)#199	53.0(-18.0)#6,275
200.	49085	35.0	53.0(-18.0)#200	53.0(-18.0)#6,332

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