Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Ohio [ 101 - 200 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	45389	17.0	51.0(-34.0)#101	48.0(-31.0)#2,105
102.	44129	18.0	51.0(-33.0)#102	48.0(-30.0)#2,134
103.	45439	18.0	51.0(-33.0)#103	48.0(-30.0)#2,184
104.	44072	18.0	51.0(-33.0)#104	48.0(-30.0)#2,219
105.	45760	18.0	51.0(-33.0)#105	48.0(-30.0)#2,236
106.	43144	18.0	51.0(-33.0)#106	48.0(-30.0)#2,318
107.	44024	19.0	51.0(-32.0)#107	48.0(-29.0)#2,352
108.	43609	19.0	51.0(-32.0)#108	48.0(-29.0)#2,366
109.	45205	19.0	51.0(-32.0)#109	48.0(-29.0)#2,371
110.	43952	19.0	51.0(-32.0)#110	48.0(-29.0)#2,379
111.	43103	19.0	51.0(-32.0)#111	48.0(-29.0)#2,398
112.	44444	19.0	51.0(-32.0)#112	48.0(-29.0)#2,411
113.	44021	19.0	51.0(-32.0)#113	48.0(-29.0)#2,436
114.	43044	19.0	51.0(-32.0)#114	48.0(-29.0)#2,445
115.	43981	19.0	51.0(-32.0)#115	48.0(-29.0)#2,543
116.	44094	20.0	51.0(-31.0)#116	48.0(-28.0)#2,558
117.	44460	20.0	51.0(-31.0)#117	48.0(-28.0)#2,589
118.	44314	20.0	51.0(-31.0)#118	48.0(-28.0)#2,608
119.	45202	20.0	51.0(-31.0)#119	48.0(-28.0)#2,611
120.	45229	20.0	51.0(-31.0)#120	48.0(-28.0)#2,629
121.	44509	20.0	51.0(-31.0)#121	48.0(-28.0)#2,642
122.	43143	20.0	51.0(-31.0)#122	48.0(-28.0)#2,683
123.	44438	20.0	51.0(-31.0)#123	48.0(-28.0)#2,694
124.	43521	20.0	51.0(-31.0)#124	48.0(-28.0)#2,730
125.	44666	20.0	51.0(-31.0)#125	48.0(-28.0)#2,732
126.	45358	20.0	51.0(-31.0)#126	48.0(-28.0)#2,797
127.	44857	21.0	51.0(-30.0)#127	48.0(-27.0)#2,850
128.	44481	21.0	51.0(-30.0)#128	48.0(-27.0)#2,910
129.	45786	21.0	51.0(-30.0)#129	48.0(-27.0)#2,989
130.	45153	21.0	51.0(-30.0)#130	48.0(-27.0)#2,998
131.	45682	21.0	51.0(-30.0)#131	48.0(-27.0)#3,006
132.	44853	21.0	51.0(-30.0)#132	48.0(-27.0)#3,022
133.	43347	21.0	51.0(-30.0)#133	48.0(-27.0)#3,034
134.	44130	22.0	51.0(-29.0)#134	48.0(-26.0)#3,068
135.	43607	22.0	51.0(-29.0)#135	48.0(-26.0)#3,116
136.	45409	22.0	51.0(-29.0)#136	48.0(-26.0)#3,138
137.	44026	22.0	51.0(-29.0)#137	48.0(-26.0)#3,160
138.	45207	22.0	51.0(-29.0)#138	48.0(-26.0)#3,191
139.	43947	22.0	51.0(-29.0)#139	48.0(-26.0)#3,212
140.	45101	22.0	51.0(-29.0)#140	48.0(-26.0)#3,250
141.	44854	22.0	51.0(-29.0)#141	48.0(-26.0)#3,261
142.	43413	22.0	51.0(-29.0)#142	48.0(-26.0)#3,283
143.	43337	22.0	51.0(-29.0)#143	48.0(-26.0)#3,292
144.	45354	22.0	51.0(-29.0)#144	48.0(-26.0)#3,299
145.	43202	23.0	51.0(-28.0)#145	48.0(-25.0)#3,375
146.	43146	23.0	51.0(-28.0)#146	48.0(-25.0)#3,409
147.	45415	23.0	51.0(-28.0)#147	48.0(-25.0)#3,410
148.	45656	23.0	51.0(-28.0)#148	48.0(-25.0)#3,448
149.	44304	23.0	51.0(-28.0)#149	48.0(-25.0)#3,487
150.	44445	23.0	51.0(-28.0)#150	48.0(-25.0)#3,497
151.	45882	23.0	51.0(-28.0)#151	48.0(-25.0)#3,500
152.	43469	23.0	51.0(-28.0)#152	48.0(-25.0)#3,501
153.	43915	23.0	51.0(-28.0)#153	48.0(-25.0)#3,540
154.	43529	23.0	51.0(-28.0)#154	48.0(-25.0)#3,565
155.	45103	24.0	51.0(-27.0)#155	48.0(-24.0)#3,597
156.	45431	24.0	51.0(-27.0)#156	48.0(-24.0)#3,626
157.	44321	24.0	51.0(-27.0)#157	48.0(-24.0)#3,667
158.	45152	24.0	51.0(-27.0)#158	48.0(-24.0)#3,676
159.	44662	24.0	51.0(-27.0)#159	48.0(-24.0)#3,700
160.	43912	24.0	51.0(-27.0)#160	48.0(-24.0)#3,733
161.	45318	24.0	51.0(-27.0)#161	48.0(-24.0)#3,746
162.	45679	24.0	51.0(-27.0)#162	48.0(-24.0)#3,776
163.	43942	24.0	51.0(-27.0)#163	48.0(-24.0)#3,792
164.	44849	24.0	51.0(-27.0)#164	48.0(-24.0)#3,794
165.	44251	24.0	51.0(-27.0)#165	48.0(-24.0)#3,833
166.	45820	24.0	51.0(-27.0)#166	48.0(-24.0)#3,851
167.	44107	25.0	51.0(-26.0)#167	48.0(-23.0)#3,867
168.	44095	25.0	51.0(-26.0)#168	48.0(-23.0)#3,895
169.	44319	25.0	51.0(-26.0)#169	48.0(-23.0)#3,934
170.	45402	25.0	51.0(-26.0)#170	48.0(-23.0)#3,994
171.	44714	25.0	51.0(-26.0)#171	48.0(-23.0)#4,000
172.	44657	25.0	51.0(-26.0)#172	48.0(-23.0)#4,003
173.	43824	25.0	51.0(-26.0)#173	48.0(-23.0)#4,053
174.	44411	25.0	51.0(-26.0)#174	48.0(-23.0)#4,083
175.	44634	25.0	51.0(-26.0)#175	48.0(-23.0)#4,090
176.	45146	25.0	51.0(-26.0)#176	48.0(-23.0)#4,115
177.	45361	25.0	51.0(-26.0)#177	48.0(-23.0)#4,137
178.	43151	25.0	51.0(-26.0)#178	48.0(-23.0)#4,139
179.	45036	26.0	51.0(-25.0)#179	48.0(-22.0)#4,161
180.	45255	26.0	51.0(-25.0)#180	48.0(-22.0)#4,211
181.	44907	26.0	51.0(-25.0)#181	48.0(-22.0)#4,237
182.	43019	26.0	51.0(-25.0)#182	48.0(-22.0)#4,267
183.	44707	26.0	51.0(-25.0)#183	48.0(-22.0)#4,277
184.	44676	26.0	51.0(-25.0)#184	48.0(-22.0)#4,307
185.	43154	26.0	51.0(-25.0)#185	48.0(-22.0)#4,342
186.	43518	26.0	51.0(-25.0)#186	48.0(-22.0)#4,353
187.	43115	26.0	51.0(-25.0)#187	48.0(-22.0)#4,380
188.	45378	26.0	51.0(-25.0)#188	48.0(-22.0)#4,432
189.	45406	27.0	51.0(-24.0)#189	48.0(-21.0)#4,530
190.	44028	27.0	51.0(-24.0)#190	48.0(-21.0)#4,594
191.	45171	27.0	51.0(-24.0)#191	48.0(-21.0)#4,619
192.	43534	27.0	51.0(-24.0)#192	48.0(-21.0)#4,698
193.	44484	28.0	51.0(-23.0)#193	48.0(-20.0)#4,821
194.	44147	28.0	51.0(-23.0)#194	48.0(-20.0)#4,828
195.	43056	28.0	51.0(-23.0)#195	48.0(-20.0)#4,839
196.	44431	28.0	51.0(-23.0)#196	48.0(-20.0)#4,926
197.	43945	28.0	51.0(-23.0)#197	48.0(-20.0)#4,949
198.	43944	28.0	51.0(-23.0)#198	48.0(-20.0)#4,960
199.	44637	28.0	51.0(-23.0)#199	48.0(-20.0)#4,963
200.	45840	29.0	51.0(-22.0)#200	48.0(-19.0)#5,032

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