Zip Codes with the Most Births per 1,000 Women in South Dakota [ 201 - 300 ]

	Zip Code	Births / 1,000 Women	vs State	vs National
201.	57219	46.0	64.0(-18.0)#201	52.0(-6.00)#15,211
202.	57022	45.0	64.0(-19.0)#202	52.0(-7.00)#15,443
203.	57570	45.0	64.0(-19.0)#203	52.0(-7.00)#15,488
204.	57225	45.0	64.0(-19.0)#204	52.0(-7.00)#15,512
205.	57036	45.0	64.0(-19.0)#205	52.0(-7.00)#15,545
206.	57580	44.0	64.0(-20.0)#206	52.0(-8.00)#15,854
207.	57438	44.0	64.0(-20.0)#207	52.0(-8.00)#15,939
208.	57703	43.0	64.0(-21.0)#208	52.0(-9.00)#16,096
209.	57201	42.0	64.0(-22.0)#209	52.0(-10.00)#16,396
210.	57642	42.0	64.0(-22.0)#210	52.0(-10.00)#16,606
211.	57234	42.0	64.0(-22.0)#211	52.0(-10.00)#16,622
212.	57045	40.0	64.0(-24.0)#212	52.0(-12.0)#17,301
213.	57334	40.0	64.0(-24.0)#213	52.0(-12.0)#17,321
214.	57071	39.0	64.0(-25.0)#214	52.0(-13.0)#17,597
215.	57648	39.0	64.0(-25.0)#215	52.0(-13.0)#17,686
216.	57716	38.0	64.0(-26.0)#216	52.0(-14.0)#18,060
217.	57730	37.0	64.0(-27.0)#217	52.0(-15.0)#18,271
218.	57745	37.0	64.0(-27.0)#218	52.0(-15.0)#18,335
219.	57005	36.0	64.0(-28.0)#219	52.0(-16.0)#18,559
220.	57769	36.0	64.0(-28.0)#220	52.0(-16.0)#18,641
221.	57311	36.0	64.0(-28.0)#221	52.0(-16.0)#18,689
222.	57315	36.0	64.0(-28.0)#222	52.0(-16.0)#18,711
223.	57276	36.0	64.0(-28.0)#223	52.0(-16.0)#18,714
224.	57720	36.0	64.0(-28.0)#224	52.0(-16.0)#18,722
225.	57579	35.0	64.0(-29.0)#225	52.0(-17.0)#19,006
226.	57735	34.0	64.0(-30.0)#226	52.0(-18.0)#19,308
227.	57319	34.0	64.0(-30.0)#227	52.0(-18.0)#19,329
228.	57551	33.0	64.0(-31.0)#228	52.0(-19.0)#19,627
229.	57069	32.0	64.0(-32.0)#229	52.0(-20.0)#19,823
230.	57039	32.0	64.0(-32.0)#230	52.0(-20.0)#19,911
231.	57471	31.0	64.0(-33.0)#231	52.0(-21.0)#20,308
232.	57013	30.0	64.0(-34.0)#232	52.0(-22.0)#20,486
233.	57301	29.0	64.0(-35.0)#233	52.0(-23.0)#20,695
234.	57035	28.0	64.0(-36.0)#234	52.0(-24.0)#21,111
235.	57717	27.0	64.0(-37.0)#235	52.0(-25.0)#21,258
236.	57523	27.0	64.0(-37.0)#236	52.0(-25.0)#21,377
237.	57572	26.0	64.0(-38.0)#237	52.0(-26.0)#21,620
238.	57249	24.0	64.0(-40.0)#238	52.0(-28.0)#22,184
239.	57383	24.0	64.0(-40.0)#239	52.0(-28.0)#22,191
240.	57366	23.0	64.0(-41.0)#240	52.0(-29.0)#22,394
241.	57268	23.0	64.0(-41.0)#241	52.0(-29.0)#22,464
242.	57368	22.0	64.0(-42.0)#242	52.0(-30.0)#22,667
243.	57428	22.0	64.0(-42.0)#243	52.0(-30.0)#22,701
244.	57434	22.0	64.0(-42.0)#244	52.0(-30.0)#22,702
245.	57006	21.0	64.0(-43.0)#245	52.0(-31.0)#22,744
246.	57793	21.0	64.0(-43.0)#246	52.0(-31.0)#22,882
247.	57533	21.0	64.0(-43.0)#247	52.0(-31.0)#22,891
248.	57273	21.0	64.0(-43.0)#248	52.0(-31.0)#22,913
249.	57762	21.0	64.0(-43.0)#249	52.0(-31.0)#22,946
250.	57220	20.0	64.0(-44.0)#250	52.0(-32.0)#23,169
251.	57375	20.0	64.0(-44.0)#251	52.0(-32.0)#23,184
252.	57063	19.0	64.0(-45.0)#252	52.0(-33.0)#23,395
253.	57016	18.0	64.0(-46.0)#253	52.0(-34.0)#23,586
254.	57783	17.0	64.0(-47.0)#254	52.0(-35.0)#23,619
255.	57241	17.0	64.0(-47.0)#255	52.0(-35.0)#23,732
256.	57631	16.0	64.0(-48.0)#256	52.0(-36.0)#23,935
257.	57638	15.0	64.0(-49.0)#257	52.0(-37.0)#24,076
258.	57018	15.0	64.0(-49.0)#258	52.0(-37.0)#24,095
259.	57479	15.0	64.0(-49.0)#259	52.0(-37.0)#24,127
260.	57452	15.0	64.0(-49.0)#260	52.0(-37.0)#24,138
261.	57014	14.0	64.0(-50.0)#261	52.0(-38.0)#24,250
262.	57465	14.0	64.0(-50.0)#262	52.0(-38.0)#24,298
263.	57442	13.0	64.0(-51.0)#263	52.0(-39.0)#24,405
264.	57259	11.0	64.0(-53.0)#264	52.0(-41.0)#24,738
265.	57552	11.0	64.0(-53.0)#265	52.0(-41.0)#24,739
266.	57436	11.0	64.0(-53.0)#266	52.0(-41.0)#24,742
267.	57658	11.0	64.0(-53.0)#267	52.0(-41.0)#24,746
268.	57532	9.0	64.0(-55.0)#268	52.0(-43.0)#24,931
269.	57031	9.0	64.0(-55.0)#269	52.0(-43.0)#24,988
270.	57714	8.0	64.0(-56.0)#270	52.0(-44.0)#25,087
271.	57279	8.0	64.0(-56.0)#271	52.0(-44.0)#25,095
272.	57370	8.0	64.0(-56.0)#272	52.0(-44.0)#25,106
273.	57751	6.0	64.0(-58.0)#273	52.0(-46.0)#25,257
274.	57260	5.0	64.0(-59.0)#274	52.0(-47.0)#25,340
275.	57732	3.0	64.0(-61.0)#275	52.0(-49.0)#25,442

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