Table 29(White), Continued Number of Births by Age and Race of Mother: Indiana Counties, 1999

Table 29, Continued Number of Births by Age and Race of Mother: Indiana Counties, 1999
WHITE	Total	Age of Mother
WHITE	Total	10-14	15-17	18-19	20-24	25-29	30-34	35-39	40-44	45+	Unknown
Adams	535	2	6	32	150	163	102	64	14	2	0
Allen	4,216	4	140	306	1,089	1,263	986	356	66	6	0
Bartholomew	1,011	0	31	72	297	304	209	74	23	1	0
Benton	124	0	4	3	37	42	25	12	1	0	0
Blackford	196	1	8	16	71	61	25	13	1	0	0
Boone	605	0	13	38	112	200	155	73	14	0	0
Brown	169	0	5	12	52	49	35	16	0	0	0
Carroll	258	1	4	21	76	98	41	15	1	1	0
Cass	568	0	18	48	208	159	99	32	4	0	0
Clark	1,216	2	53	92	376	382	191	100	13	0	7
Clay	340	1	15	39	116	87	54	23	5	0	0
Clinton	489	1	18	56	165	134	74	34	6	1	0
Crawford	140	0	3	20	56	33	13	12	3	0	0
Daviess	458	0	13	30	154	149	69	37	5	1	0
Dearborn	425	1	14	45	121	127	71	32	12	1	1
Decatur	397	0	17	47	139	111	60	20	3	0	0
DeKalb	549	0	19	64	169	174	83	33	7	0	0
Delaware	1,278	1	55	99	393	411	212	97	9	1	0
Dubois	556	0	15	31	119	179	141	61	9	1	0
Elkhart	2,885	5	125	263	871	847	517	223	31	3	0
Fayette	280	0	17	42	106	64	34	13	4	0	0
Floyd	831	0	40	71	197	255	176	78	10	0	4
Fountain	238	0	11	27	82	64	37	16	1	0	0
Franklin	181	0	8	18	41	61	45	8	0	0	0
Fulton	276	0	7	23	96	82	42	21	5	0	0
Gibson	385	0	15	38	110	114	74	27	7	0	0
Grant	788	2	40	94	256	227	123	41	5	0	0
Greene	361	0	14	38	129	102	48	25	5	0	0
Hamilton	2,863	2	33	66	312	843	1,054	482	66	5	0
Hancock	697	0	13	43	145	208	184	92	10	2	0
Harrison	444	0	14	34	119	147	85	34	7	1	3
Hendricks	1,247	1	34	76	237	385	356	128	30	0	0
Henry	602	0	12	50	211	184	108	32	5	0	0
Howard	1,108	1	46	102	355	341	196	58	9	0	0
Huntington	521	0	32	55	152	155	91	30	6	0	0
Jackson	553	0	35	53	174	157	97	31	6	0	0
Jasper	425	1	15	44	124	131	79	26	5	0	0
Jay	331	0	10	23	112	105	56	20	5	0	0
Jefferson	357	1	17	46	115	88	62	21	7	0	0
Jennings	419	2	17	51	147	110	67	19	6	0	0
Johnson	1,608	2	50	98	418	546	340	134	19	0	1
Knox	465	1	14	44	148	141	78	33	6	0	0
Kosciusko	1,120	0	44	85	374	343	195	70	9	0	0
LaGrange	753	0	13	46	254	234	145	49	12	0	0
Lake	4,700	8	164	353	1,177	1,366	1,074	479	78	0	1
LaPorte	1,222	0	36	112	337	367	253	98	18	1	0
Lawrence	564	0	30	51	179	172	95	31	6	0	0
Madison	1,604	4	62	157	479	510	270	94	28	0	0
Marion	9,942	15	374	822	2,504	2,860	2,212	984	162	7	2
Marshall	663	1	29	63	195	199	117	50	9	0	0
Martin	154	0	2	15	45	56	24	12	0	0	0
Miami	417	0	20	44	145	116	67	18	6	1	0
Monroe	1,163	1	37	81	290	318	294	119	20	3	0
Montgomery	525	1	23	50	181	137	100	32	1	0	0
Morgan	977	1	33	75	281	298	195	87	7	0	0
Newton	206	0	5	18	69	61	43	9	1	0	0
Noble	708	1	32	71	238	208	118	32	8	0	0
Ohio	53	0	3	4	14	15	11	6	0	0	0
Orange	244	0	13	25	88	68	28	20	2	0	0
Owen	260	0	16	30	80	74	38	18	4	0	0
Parke	170	0	8	19	62	41	26	11	3	0	0
Perry	203	0	9	36	57	62	29	7	3	0	0
Pike	168	0	7	18	61	51	28	3	0	0	0
Porter	1,772	1	50	119	430	557	430	157	27	0	1
Posey	283	0	11	25	71	97	50	23	6	0	0
Pulaski	190	1	7	20	64	47	30	16	1	3	1
Putnam	424	1	13	42	127	125	81	33	2	0	0
Randolph	353	1	17	30	113	118	56	17	1	0	0
Ripley	332	0	11	43	86	107	62	18	3	1	1
Rush	233	1	8	17	79	75	33	18	2	0	0
St. Joseph	3,172	5	117	225	819	948	698	302	56	2	0
Scott	303	1	13	38	115	81	41	14	0	0	0
Shelby	596	1	24	62	176	175	105	47	6	0	0
Spencer	237	0	13	22	51	76	48	23	3	0	1
Starke	292	0	11	33	117	77	34	15	4	1	0
Steuben	396	0	20	36	121	103	78	27	10	0	1
Sullivan	255	0	10	30	96	71	36	10	2	0	0
Switzerland	103	0	3	12	34	21	23	10	0	0	0
Tippecanoe	1,679	0	44	132	494	540	290	158	18	3	0
Tipton	177	0	6	10	47	68	31	14	1	0	0
Union	55	0	4	4	11	18	14	4	0	0	0
Vanderburgh	1,984	2	91	184	538	563	379	199	27	0	1
Vermillion	211	0	8	14	75	69	29	15	1	0	0
Vigo	1,186	3	46	126	370	341	189	95	16	0	0
Wabash	435	2	19	49	142	120	76	24	3	0	0
Warren	81	0	1	8	22	31	11	7	1	0	0
Warrick	588	1	17	45	133	184	141	59	8	0	0
Washington	322	0	14	29	117	89	47	18	6	1	1
Wayne	841	3	44	99	277	230	141	43	4	0	0
Wells	315	0	10	15	98	97	63	26	6	0	0
White	346	0	12	38	108	107	51	23	6	1	0
Whitley	415	1	10	21	109	141	90	37	6	0	0
INDIANA	74,787	88	2,684	6,173	20,707	22,315	15,313	6,377	1,054	50	26
SOURCE: Indiana State Department of Health, Epidemiology Resource Center, Data Analysis Team