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

	Zip Code	Births / 1,000 Women	vs State	vs National
101.	47401	26.0	54.0(-28.0)#101	52.0(-26.0)#3,838
102.	47404	26.0	54.0(-28.0)#102	52.0(-26.0)#3,873
103.	46501	26.0	54.0(-28.0)#103	52.0(-26.0)#3,973
104.	46940	26.0	54.0(-28.0)#104	52.0(-26.0)#3,995
105.	47244	26.0	54.0(-28.0)#105	52.0(-26.0)#4,079
106.	46012	27.0	54.0(-27.0)#106	52.0(-25.0)#4,151
107.	46280	27.0	54.0(-27.0)#107	52.0(-25.0)#4,212
108.	47993	27.0	54.0(-27.0)#108	52.0(-25.0)#4,250
109.	47970	27.0	54.0(-27.0)#109	52.0(-25.0)#4,287
110.	47837	27.0	54.0(-27.0)#110	52.0(-25.0)#4,324
111.	47847	27.0	54.0(-27.0)#111	52.0(-25.0)#4,326
112.	47175	27.0	54.0(-27.0)#112	52.0(-25.0)#4,331
113.	47710	28.0	54.0(-26.0)#113	52.0(-24.0)#4,446
114.	47441	28.0	54.0(-26.0)#114	52.0(-24.0)#4,484
115.	47138	28.0	54.0(-26.0)#115	52.0(-24.0)#4,512
116.	46787	28.0	54.0(-26.0)#116	52.0(-24.0)#4,523
117.	47649	28.0	54.0(-26.0)#117	52.0(-24.0)#4,580
118.	46614	29.0	54.0(-25.0)#118	52.0(-23.0)#4,668
119.	47807	29.0	54.0(-25.0)#119	52.0(-23.0)#4,725
120.	47022	29.0	54.0(-25.0)#120	52.0(-23.0)#4,813
121.	46166	29.0	54.0(-25.0)#121	52.0(-23.0)#4,821
122.	46779	29.0	54.0(-25.0)#122	52.0(-23.0)#4,829
123.	47443	29.0	54.0(-25.0)#123	52.0(-23.0)#4,848
124.	46988	29.0	54.0(-25.0)#124	52.0(-23.0)#4,868
125.	46208	30.0	54.0(-24.0)#125	52.0(-22.0)#4,972
126.	47229	30.0	54.0(-24.0)#126	52.0(-22.0)#5,100
127.	47373	30.0	54.0(-24.0)#127	52.0(-22.0)#5,120
128.	46931	30.0	54.0(-24.0)#128	52.0(-22.0)#5,187
129.	47725	31.0	54.0(-23.0)#129	52.0(-21.0)#5,290
130.	47446	31.0	54.0(-23.0)#130	52.0(-21.0)#5,342
131.	46743	31.0	54.0(-23.0)#131	52.0(-21.0)#5,420
132.	47324	31.0	54.0(-23.0)#132	52.0(-21.0)#5,503
133.	46383	32.0	54.0(-22.0)#133	52.0(-20.0)#5,526
134.	46151	32.0	54.0(-22.0)#134	52.0(-20.0)#5,547
135.	46158	32.0	54.0(-22.0)#135	52.0(-20.0)#5,576
136.	46809	32.0	54.0(-22.0)#136	52.0(-20.0)#5,653
137.	47951	32.0	54.0(-22.0)#137	52.0(-20.0)#5,738
138.	46112	33.0	54.0(-21.0)#138	52.0(-19.0)#5,846
139.	46373	33.0	54.0(-21.0)#139	52.0(-19.0)#5,920
140.	46320	33.0	54.0(-21.0)#140	52.0(-19.0)#5,946
141.	46184	33.0	54.0(-21.0)#141	52.0(-19.0)#5,956
142.	46550	33.0	54.0(-21.0)#142	52.0(-19.0)#5,963
143.	47454	33.0	54.0(-21.0)#143	52.0(-19.0)#6,000
144.	47060	33.0	54.0(-21.0)#144	52.0(-19.0)#6,011
145.	46164	33.0	54.0(-21.0)#145	52.0(-19.0)#6,040
146.	47145	33.0	54.0(-21.0)#146	52.0(-19.0)#6,078
147.	46203	34.0	54.0(-20.0)#147	52.0(-18.0)#6,183
148.	46375	34.0	54.0(-20.0)#148	52.0(-18.0)#6,218
149.	46013	34.0	54.0(-20.0)#149	52.0(-18.0)#6,250
150.	47226	34.0	54.0(-20.0)#150	52.0(-18.0)#6,464
151.	46033	35.0	54.0(-19.0)#151	52.0(-17.0)#6,500
152.	46526	35.0	54.0(-19.0)#152	52.0(-17.0)#6,518
153.	46135	35.0	54.0(-19.0)#153	52.0(-17.0)#6,572
154.	46016	35.0	54.0(-19.0)#154	52.0(-17.0)#6,577
155.	47720	35.0	54.0(-19.0)#155	52.0(-17.0)#6,586
156.	46561	35.0	54.0(-19.0)#156	52.0(-17.0)#6,601
157.	46574	35.0	54.0(-19.0)#157	52.0(-17.0)#6,636
158.	46721	35.0	54.0(-19.0)#158	52.0(-17.0)#6,662
159.	47433	35.0	54.0(-19.0)#159	52.0(-17.0)#6,677
160.	46161	35.0	54.0(-19.0)#160	52.0(-17.0)#6,710
161.	47380	35.0	54.0(-19.0)#161	52.0(-17.0)#6,727
162.	46960	35.0	54.0(-19.0)#162	52.0(-17.0)#6,738
163.	47969	35.0	54.0(-19.0)#163	52.0(-17.0)#6,767
164.	47630	36.0	54.0(-18.0)#164	52.0(-16.0)#6,814
165.	46814	36.0	54.0(-18.0)#165	52.0(-16.0)#6,897
166.	47542	36.0	54.0(-18.0)#166	52.0(-16.0)#6,945
167.	46565	36.0	54.0(-18.0)#167	52.0(-16.0)#6,956
168.	46124	36.0	54.0(-18.0)#168	52.0(-16.0)#6,965
169.	46069	36.0	54.0(-18.0)#169	52.0(-16.0)#6,975
170.	47040	36.0	54.0(-18.0)#170	52.0(-16.0)#6,993
171.	46979	36.0	54.0(-18.0)#171	52.0(-16.0)#6,994
172.	47106	36.0	54.0(-18.0)#172	52.0(-16.0)#7,005
173.	46128	36.0	54.0(-18.0)#173	52.0(-16.0)#7,043
174.	47344	36.0	54.0(-18.0)#174	52.0(-16.0)#7,108
175.	46947	37.0	54.0(-17.0)#175	52.0(-15.0)#7,177
176.	47243	37.0	54.0(-17.0)#176	52.0(-15.0)#7,306
177.	47336	37.0	54.0(-17.0)#177	52.0(-15.0)#7,351
178.	47451	37.0	54.0(-17.0)#178	52.0(-15.0)#7,390
179.	47980	37.0	54.0(-17.0)#179	52.0(-15.0)#7,410
180.	46637	38.0	54.0(-16.0)#180	52.0(-14.0)#7,583
181.	46783	38.0	54.0(-16.0)#181	52.0(-14.0)#7,640
182.	47879	38.0	54.0(-16.0)#182	52.0(-14.0)#7,683
183.	47305	38.0	54.0(-16.0)#183	52.0(-14.0)#7,688
184.	47263	38.0	54.0(-16.0)#184	52.0(-14.0)#7,812
185.	46060	39.0	54.0(-15.0)#185	52.0(-13.0)#7,843
186.	46342	39.0	54.0(-15.0)#186	52.0(-13.0)#7,883
187.	47715	39.0	54.0(-15.0)#187	52.0(-13.0)#7,902
188.	46236	39.0	54.0(-15.0)#188	52.0(-13.0)#7,911
189.	46706	39.0	54.0(-15.0)#189	52.0(-13.0)#7,938
190.	46703	39.0	54.0(-15.0)#190	52.0(-13.0)#7,942
191.	47220	39.0	54.0(-15.0)#191	52.0(-13.0)#8,039
192.	46538	39.0	54.0(-15.0)#192	52.0(-13.0)#8,057
193.	46165	39.0	54.0(-15.0)#193	52.0(-13.0)#8,105
194.	47201	40.0	54.0(-14.0)#194	52.0(-12.0)#8,201
195.	47122	40.0	54.0(-14.0)#195	52.0(-12.0)#8,337
196.	47567	40.0	54.0(-14.0)#196	52.0(-12.0)#8,379
197.	46996	40.0	54.0(-14.0)#197	52.0(-12.0)#8,381
198.	47532	40.0	54.0(-14.0)#198	52.0(-12.0)#8,402
199.	47977	40.0	54.0(-14.0)#199	52.0(-12.0)#8,432
200.	46070	40.0	54.0(-14.0)#200	52.0(-12.0)#8,441

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