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

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	49079	25.0	52.0(-27.0)#101	52.0(-27.0)#3,648
102.	49931	25.0	52.0(-27.0)#102	52.0(-27.0)#3,659
103.	48165	25.0	52.0(-27.0)#103	52.0(-27.0)#3,667
104.	48380	25.0	52.0(-27.0)#104	52.0(-27.0)#3,678
105.	49021	25.0	52.0(-27.0)#105	52.0(-27.0)#3,693
106.	49446	25.0	52.0(-27.0)#106	52.0(-27.0)#3,754
107.	49130	25.0	52.0(-27.0)#107	52.0(-27.0)#3,785
108.	49822	25.0	52.0(-27.0)#108	52.0(-27.0)#3,827
109.	49525	26.0	52.0(-26.0)#109	52.0(-26.0)#3,853
110.	49437	26.0	52.0(-26.0)#110	52.0(-26.0)#3,942
111.	49781	26.0	52.0(-26.0)#111	52.0(-26.0)#3,980
112.	49925	26.0	52.0(-26.0)#112	52.0(-26.0)#4,069
113.	49728	26.0	52.0(-26.0)#113	52.0(-26.0)#4,084
114.	48205	27.0	52.0(-25.0)#114	52.0(-25.0)#4,121
115.	48130	27.0	52.0(-25.0)#115	52.0(-25.0)#4,163
116.	49008	27.0	52.0(-25.0)#116	52.0(-25.0)#4,167
117.	49461	27.0	52.0(-25.0)#117	52.0(-25.0)#4,198
118.	49740	27.0	52.0(-25.0)#118	52.0(-25.0)#4,211
119.	49659	27.0	52.0(-25.0)#119	52.0(-25.0)#4,214
120.	48650	27.0	52.0(-25.0)#120	52.0(-25.0)#4,218
121.	48893	27.0	52.0(-25.0)#121	52.0(-25.0)#4,234
122.	48647	27.0	52.0(-25.0)#122	52.0(-25.0)#4,244
123.	49117	27.0	52.0(-25.0)#123	52.0(-25.0)#4,254
124.	49229	27.0	52.0(-25.0)#124	52.0(-25.0)#4,255
125.	48022	27.0	52.0(-25.0)#125	52.0(-25.0)#4,276
126.	48815	27.0	52.0(-25.0)#126	52.0(-25.0)#4,283
127.	49322	27.0	52.0(-25.0)#127	52.0(-25.0)#4,319
128.	49701	27.0	52.0(-25.0)#128	52.0(-25.0)#4,337
129.	49626	27.0	52.0(-25.0)#129	52.0(-25.0)#4,361
130.	49203	28.0	52.0(-24.0)#130	52.0(-24.0)#4,389
131.	49107	28.0	52.0(-24.0)#131	52.0(-24.0)#4,475
132.	48218	28.0	52.0(-24.0)#132	52.0(-24.0)#4,494
133.	49727	28.0	52.0(-24.0)#133	52.0(-24.0)#4,497
134.	49106	28.0	52.0(-24.0)#134	52.0(-24.0)#4,511
135.	48179	28.0	52.0(-24.0)#135	52.0(-24.0)#4,533
136.	49128	28.0	52.0(-24.0)#136	52.0(-24.0)#4,534
137.	49272	28.0	52.0(-24.0)#137	52.0(-24.0)#4,545
138.	48767	28.0	52.0(-24.0)#138	52.0(-24.0)#4,552
139.	49656	28.0	52.0(-24.0)#139	52.0(-24.0)#4,562
140.	48237	29.0	52.0(-23.0)#140	52.0(-23.0)#4,669
141.	48045	29.0	52.0(-23.0)#141	52.0(-23.0)#4,684
142.	49345	29.0	52.0(-23.0)#142	52.0(-23.0)#4,727
143.	48455	29.0	52.0(-23.0)#143	52.0(-23.0)#4,754
144.	48353	29.0	52.0(-23.0)#144	52.0(-23.0)#4,763
145.	48421	29.0	52.0(-23.0)#145	52.0(-23.0)#4,767
146.	48371	30.0	52.0(-22.0)#146	52.0(-22.0)#4,958
147.	48623	30.0	52.0(-22.0)#147	52.0(-22.0)#5,004
148.	48025	30.0	52.0(-22.0)#148	52.0(-22.0)#5,006
149.	49302	30.0	52.0(-22.0)#149	52.0(-22.0)#5,027
150.	49749	30.0	52.0(-22.0)#150	52.0(-22.0)#5,069
151.	49064	30.0	52.0(-22.0)#151	52.0(-22.0)#5,078
152.	49092	30.0	52.0(-22.0)#152	52.0(-22.0)#5,126
153.	48865	30.0	52.0(-22.0)#153	52.0(-22.0)#5,129
154.	49733	30.0	52.0(-22.0)#154	52.0(-22.0)#5,137
155.	49201	31.0	52.0(-21.0)#155	52.0(-21.0)#5,201
156.	49855	31.0	52.0(-21.0)#156	52.0(-21.0)#5,237
157.	48236	31.0	52.0(-21.0)#157	52.0(-21.0)#5,242
158.	49686	31.0	52.0(-21.0)#158	52.0(-21.0)#5,261
159.	48009	31.0	52.0(-21.0)#159	52.0(-21.0)#5,279
160.	48094	31.0	52.0(-21.0)#160	52.0(-21.0)#5,285
161.	48225	31.0	52.0(-21.0)#161	52.0(-21.0)#5,303
162.	49849	31.0	52.0(-21.0)#162	52.0(-21.0)#5,328
163.	48017	31.0	52.0(-21.0)#163	52.0(-21.0)#5,331
164.	49460	31.0	52.0(-21.0)#164	52.0(-21.0)#5,344
165.	48131	31.0	52.0(-21.0)#165	52.0(-21.0)#5,352
166.	49913	31.0	52.0(-21.0)#166	52.0(-21.0)#5,358
167.	48881	31.0	52.0(-21.0)#167	52.0(-21.0)#5,368
168.	48755	31.0	52.0(-21.0)#168	52.0(-21.0)#5,418
169.	49034	31.0	52.0(-21.0)#169	52.0(-21.0)#5,429
170.	49879	31.0	52.0(-21.0)#170	52.0(-21.0)#5,469
171.	49927	31.0	52.0(-21.0)#171	52.0(-21.0)#5,495
172.	49423	32.0	52.0(-20.0)#172	52.0(-20.0)#5,521
173.	48168	32.0	52.0(-20.0)#173	52.0(-20.0)#5,571
174.	48076	32.0	52.0(-20.0)#174	52.0(-20.0)#5,579
175.	49331	32.0	52.0(-20.0)#175	52.0(-20.0)#5,607
176.	48034	32.0	52.0(-20.0)#176	52.0(-20.0)#5,619
177.	49224	32.0	52.0(-20.0)#177	52.0(-20.0)#5,625
178.	48065	32.0	52.0(-20.0)#178	52.0(-20.0)#5,639
179.	48436	32.0	52.0(-20.0)#179	52.0(-20.0)#5,710
180.	49403	32.0	52.0(-20.0)#180	52.0(-20.0)#5,730
181.	49338	32.0	52.0(-20.0)#181	52.0(-20.0)#5,760
182.	48748	32.0	52.0(-20.0)#182	52.0(-20.0)#5,764
183.	49126	32.0	52.0(-20.0)#183	52.0(-20.0)#5,765
184.	49847	32.0	52.0(-20.0)#184	52.0(-20.0)#5,776
185.	48613	32.0	52.0(-20.0)#185	52.0(-20.0)#5,780
186.	48178	33.0	52.0(-19.0)#186	52.0(-19.0)#5,856
187.	48083	33.0	52.0(-19.0)#187	52.0(-19.0)#5,898
188.	49685	33.0	52.0(-19.0)#188	52.0(-19.0)#5,908
189.	49307	33.0	52.0(-19.0)#189	52.0(-19.0)#5,917
190.	48166	33.0	52.0(-19.0)#190	52.0(-19.0)#5,951
191.	49007	33.0	52.0(-19.0)#191	52.0(-19.0)#5,978
192.	49837	33.0	52.0(-19.0)#192	52.0(-19.0)#5,982
193.	49055	33.0	52.0(-19.0)#193	52.0(-19.0)#6,015
194.	49946	33.0	52.0(-19.0)#194	52.0(-19.0)#6,045
195.	49617	33.0	52.0(-19.0)#195	52.0(-19.0)#6,051
196.	48414	33.0	52.0(-19.0)#196	52.0(-19.0)#6,059
197.	48195	34.0	52.0(-18.0)#197	52.0(-18.0)#6,199
198.	48184	34.0	52.0(-18.0)#198	52.0(-18.0)#6,247
199.	49408	34.0	52.0(-18.0)#199	52.0(-18.0)#6,283
200.	49945	34.0	52.0(-18.0)#200	52.0(-18.0)#6,376

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