Maldives, Population and Housing Census 2006
TABLE MR 2 : EVER MARRIED POPULATION 15 YEARS AND OVER  BY PRESENT AGE, AGE AT FIRST MARRIAGE SEX AND LOCALITY
Locality, age and sex	Total	Age at first marriage												Not stated
		Under 15	15	16	17	18	19	20	21	22	23	24	25+
(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)	(13)	(14)	(15)
Kolhumadhulu (Th)
Both Sexes	4,076	162	377	307	308	729	333	397	254	198	150	148	667	46
Buruni	516	17	36	40	42	85	52	58	30	31	27	21	77	0
Vilufushi	15	1	1	1	1	4	0	2	0	3	0	0	2	0
Madifushi	347	20	61	26	31	77	22	29	20	14	15	10	22	0
Dhiyamigili	209	6	22	21	21	50	11	23	11	5	9	7	23	0
Guraidhoo	632	16	37	39	23	75	50	45	41	25	23	27	206	25
Kadoodhoo	173	2	23	7	10	20	12	29	6	5	9	5	45	0
Vandhoo	139	9	10	8	10	30	15	6	13	4	3	7	21	3
Hirilandhoo	394	14	42	26	34	106	29	34	32	19	11	8	35	4
Gaadhiffushi	123	3	17	9	7	23	19	12	5	8	4	1	14	1
Thimarafushi	551	40	33	44	63	75	38	50	34	29	14	23	98	10
Veymandoo	410	12	38	32	25	83	39	48	29	24	20	24	35	1
Kibidhoo	362	17	45	39	23	68	24	39	15	21	8	12	51	0
Omadhoo	188	5	12	13	16	32	22	21	17	10	5	3	30	2
Industrial and Other Islands	17	0	0	2	2	1	0	1	1	0	2	0	8	0
Male	1,836	13	60	59	95	205	145	233	139	130	103	109	520	25
Buruni	236	3	7	11	9	21	20	38	16	18	16	15	62	0
Vilufushi	13	1	0	1	0	4	0	2	0	3	0	0	2	0
Madifushi	155	0	13	9	17	29	9	16	11	10	13	8	20	0
Dhiyamigili	84	1	4	1	6	8	3	16	8	3	9	5	20	0
Guraidhoo	272	0	5	11	8	23	20	17	15	14	10	17	120	12
Kadoodhoo	73	0	6	2	3	6	4	10	3	2	2	1	34	0
Vandhoo	67	2	1	2	4	9	6	5	7	4	2	6	17	2
Hirilandhoo	189	4	6	4	11	30	15	22	27	16	10	8	34	2
Gaadhiffushi	63	0	1	1	4	8	12	8	3	7	4	0	14	1
Thimarafushi	236	1	9	2	10	19	18	29	16	16	10	17	84	5
Veymandoo	195	0	3	5	8	29	21	30	18	16	16	18	30	1
Kibidhoo	149	0	4	6	6	9	9	27	8	14	6	11	49	0
Omadhoo	87	1	1	2	7	9	8	12	6	7	3	3	26	2
Industrial and Other Islands	17	0	0	2	2	1	0	1	1	0	2	0	8	0
Female	2,240	149	317	248	213	524	188	164	115	68	47	39	147	21
Buruni	280	14	29	29	33	64	32	20	14	13	11	6	15	0
Vilufushi	2	0	1	0	1	0	0	0	0	0	0	0	0	0
Madifushi	192	20	48	17	14	48	13	13	9	4	2	2	2	0
Dhiyamigili	125	5	18	20	15	42	8	7	3	2	0	2	3	0
Guraidhoo	360	16	32	28	15	52	30	28	26	11	13	10	86	13
Kadoodhoo	100	2	17	5	7	14	8	19	3	3	7	4	11	0
Vandhoo	72	7	9	6	6	21	9	1	6	0	1	1	4	1
Hirilandhoo	205	10	36	22	23	76	14	12	5	3	1	0	1	2
Gaadhiffushi	60	3	16	8	3	15	7	4	2	1	0	1	0	0
Thimarafushi	315	39	24	42	53	56	20	21	18	13	4	6	14	5
Veymandoo	215	12	35	27	17	54	18	18	11	8	4	6	5	0
Kibidhoo	213	17	41	33	17	59	15	12	7	7	2	1	2	0
Omadhoo	101	4	11	11	9	23	14	9	11	3	2	0	4	0
Industrial and Other Islands	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Kolhumadhulu (Th)
Both Sexes	4,076	162	377	307	308	729	333	397	254	198	150	148	667	46
15-19	139	0	12	23	23	47	21	5	0	0	0	0	0	8
20-24	373	0	0	0	0	100	61	58	65	39	35	12	3	0
25-29	496	0	3	3	5	130	48	42	46	29	35	56	99	0
30-34	502	0	36	42	43	73	37	40	37	32	25	27	110	0
35-39	495	5	74	47	52	81	30	25	28	19	20	10	104	0
40-44	503	27	64	54	53	85	38	37	22	14	7	14	88	0
45-49	437	22	37	54	38	66	40	42	16	21	14	12	75	0
50-54	201	23	23	22	20	41	10	14	4	4	2	6	32	0
55-59	164	22	27	13	16	16	13	21	10	8	2	1	15	0
60-64	218	26	34	18	17	19	9	28	4	13	4	5	41	0
65+	507	35	67	31	41	71	26	84	22	19	6	5	100	0
Not Stated	41	2	0	0	0	0	0	1	0	0	0	0	0	38
Male	1,836	13	60	59	95	205	145	233	139	130	103	109	520	25
15-19	52	0	5	11	12	13	6	2	0	0	0	0	0	3
20-24	91	0	0	0	0	2	9	19	20	17	18	5	1	0
25-29	196	0	1	0	2	9	10	13	21	12	22	35	71	0
30-34	229	0	1	3	9	16	15	19	19	23	19	23	82	0
35-39	204	1	7	4	4	23	12	19	19	14	15	9	77	0
40-44	229	2	8	5	10	35	25	26	17	11	7	10	73	0
45-49	233	1	5	12	13	27	24	36	13	17	11	11	63	0
50-54	94	1	4	4	9	19	6	11	3	3	1	6	27	0
55-59	78	3	3	2	7	10	10	14	7	7	2	1	12	0
60-64	98	1	4	5	7	11	6	16	3	8	3	5	29	0
65+	309	4	22	13	22	40	22	57	17	18	5	4	85	0
Not Stated	23	0	0	0	0	0	0	1	0	0	0	0	0	22
Female	2,240	149	317	248	213	524	188	164	115	68	47	39	147	21
15-19	87	0	7	12	11	34	15	3	0	0	0	0	0	5
20-24	282	0	0	0	0	98	52	39	45	22	17	7	2	0
25-29	300	0	2	3	3	121	38	29	25	17	13	21	28	0
30-34	273	0	35	39	34	57	22	21	18	9	6	4	28	0
35-39	291	4	67	43	48	58	18	6	9	5	5	1	27	0
40-44	274	25	56	49	43	50	13	11	5	3	0	4	15	0
45-49	204	21	32	42	25	39	16	6	3	4	3	1	12	0
50-54	107	22	19	18	11	22	4	3	1	1	1	0	5	0
55-59	86	19	24	11	9	6	3	7	3	1	0	0	3	0
60-64	120	25	30	13	10	8	3	12	1	5	1	0	12	0
65+	198	31	45	18	19	31	4	27	5	1	1	1	15	0
Not Stated	18	2	0	0	0	0	0	0	0	0	0	0	0	16
Buruni
Both Sexes	516	17	36	40	42	85	52	58	30	31	27	21	77	0
15-19	4	0	0	0	1	1	1	1	0	0	0	0	0	0
20-24	50	0	0	0	0	8	9	6	12	9	5	1	0	0
25-29	54	0	0	0	0	9	5	7	1	1	7	10	14	0
30-34	59	0	4	6	6	7	9	6	4	2	1	5	9	0
35-39	69	2	6	2	9	16	5	3	4	5	4	2	11	0
40-44	58	2	3	4	6	13	4	6	4	0	2	2	12	0
45-49	65	3	2	11	8	10	8	7	2	4	2	0	8	0
50-54	33	5	1	4	0	8	3	5	0	1	1	1	4	0
55-59	27	0	4	4	5	3	1	5	0	3	1	0	1	0
60-64	34	3	6	5	2	3	4	3	1	2	3	0	2	0
65+	62	2	10	4	5	7	3	8	2	4	1	0	16	0
Not Stated	1	0	0	0	0	0	0	1	0	0	0	0	0	0
Male	236	3	7	11	9	21	20	38	16	18	16	15	62	0
15-19	2	0	0	0	0	0	1	1	0	0	0	0	0	0
20-24	13	0	0	0	0	0	1	2	4	4	1	1	0	0
25-29	24	0	0	0	0	0	1	4	1	1	3	5	9	0
30-34	23	0	0	0	1	0	4	3	1	1	1	4	8	0
35-39	28	1	1	1	1	6	1	2	2	3	3	2	5	0
40-44	29	0	0	0	0	3	2	5	3	0	2	2	12	0
45-49	32	0	1	4	2	2	3	7	2	1	2	0	8	0
50-54	15	1	0	1	0	3	1	3	0	1	0	1	4	0
55-59	12	0	1	0	1	2	1	3	0	3	1	0	0	0
60-64	15	0	2	2	1	1	3	1	1	0	2	0	2	0
65+	42	1	2	3	3	4	2	6	2	4	1	0	14	0
Not Stated	1	0	0	0	0	0	0	1	0	0	0	0	0	0
Female	280	14	29	29	33	64	32	20	14	13	11	6	15	0
15-19	2	0	0	0	1	1	0	0	0	0	0	0	0	0
20-24	37	0	0	0	0	8	8	4	8	5	4	0	0	0
25-29	30	0	0	0	0	9	4	3	0	0	4	5	5	0
30-34	36	0	4	6	5	7	5	3	3	1	0	1	1	0
35-39	41	1	5	1	8	10	4	1	2	2	1	0	6	0
40-44	29	2	3	4	6	10	2	1	1	0	0	0	0	0
45-49	33	3	1	7	6	8	5	0	0	3	0	0	0	0
50-54	18	4	1	3	0	5	2	2	0	0	1	0	0	0
55-59	15	0	3	4	4	1	0	2	0	0	0	0	1	0
60-64	19	3	4	3	1	2	1	2	0	2	1	0	0	0
65+	20	1	8	1	2	3	1	2	0	0	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Vilufushi
Both Sexes	15	1	1	1	1	4	0	2	0	3	0	0	2	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25-29	0	0	0	0	0	0	0	0	0	0	0	0	0	0
30-34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35-39	1	0	1	0	0	0	0	0	0	0	0	0	0	0
40-44	2	0	0	0	0	0	0	0	0	1	0	0	1	0
45-49	5	0	0	0	0	2	0	1	0	2	0	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	3	1	0	0	1	1	0	0	0	0	0	0	0	0
60-64	1	0	0	0	0	0	0	0	0	0	0	0	1	0
65+	3	0	0	1	0	1	0	1	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	13	1	0	1	0	4	0	2	0	3	0	0	2	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25-29	0	0	0	0	0	0	0	0	0	0	0	0	0	0
30-34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35-39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40-44	2	0	0	0	0	0	0	0	0	1	0	0	1	0
45-49	5	0	0	0	0	2	0	1	0	2	0	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	2	1	0	0	0	1	0	0	0	0	0	0	0	0
60-64	1	0	0	0	0	0	0	0	0	0	0	0	1	0
65+	3	0	0	1	0	1	0	1	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	2	0	1	0	1	0	0	0	0	0	0	0	0	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25-29	0	0	0	0	0	0	0	0	0	0	0	0	0	0
30-34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35-39	1	0	1	0	0	0	0	0	0	0	0	0	0	0
40-44	0	0	0	0	0	0	0	0	0	0	0	0	0	0
45-49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	1	0	0	0	1	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Madifushi
Both Sexes	347	20	61	26	31	77	22	29	20	14	15	10	22	0
15-19	17	0	2	1	4	5	4	1	0	0	0	0	0	0
20-24	46	0	0	0	0	14	6	8	9	6	2	0	1	0
25-29	57	0	1	2	0	23	5	1	4	3	6	4	8	0
30-34	44	0	4	4	5	6	2	3	5	3	3	4	5	0
35-39	31	1	9	7	1	3	1	1	2	2	2	1	1	0
40-44	40	4	14	4	4	11	1	1	0	0	0	0	1	0
45-49	29	4	9	4	4	3	1	1	0	0	1	0	2	0
50-54	22	3	5	1	4	4	1	2	0	0	0	1	1	0
55-59	14	4	6	0	1	2	0	1	0	0	0	0	0	0
60-64	16	2	5	1	1	2	0	3	0	0	0	0	2	0
65+	31	2	6	2	7	4	1	7	0	0	1	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	155	0	13	9	17	29	9	16	11	10	13	8	20	0
15-19	4	0	0	0	2	2	0	0	0	0	0	0	0	0
20-24	16	0	0	0	0	0	2	2	5	4	2	0	1	0
25-29	23	0	1	0	0	1	2	0	2	2	6	2	7	0
30-34	26	0	0	0	0	4	2	3	3	2	3	4	5	0
35-39	13	0	1	2	1	2	0	1	1	2	1	1	1	0
40-44	18	0	2	3	2	9	1	0	0	0	0	0	1	0
45-49	12	0	1	1	3	3	0	1	0	0	1	0	2	0
50-54	13	0	2	1	2	3	1	2	0	0	0	1	1	0
55-59	5	0	2	0	1	1	0	1	0	0	0	0	0	0
60-64	5	0	0	1	0	1	0	2	0	0	0	0	1	0
65+	20	0	4	1	6	3	1	4	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	192	20	48	17	14	48	13	13	9	4	2	2	2	0
15-19	13	0	2	1	2	3	4	1	0	0	0	0	0	0
20-24	30	0	0	0	0	14	4	6	4	2	0	0	0	0
25-29	34	0	0	2	0	22	3	1	2	1	0	2	1	0
30-34	18	0	4	4	5	2	0	0	2	1	0	0	0	0
35-39	18	1	8	5	0	1	1	0	1	0	1	0	0	0
40-44	22	4	12	1	2	2	0	1	0	0	0	0	0	0
45-49	17	4	8	3	1	0	1	0	0	0	0	0	0	0
50-54	9	3	3	0	2	1	0	0	0	0	0	0	0	0
55-59	9	4	4	0	0	1	0	0	0	0	0	0	0	0
60-64	11	2	5	0	1	1	0	1	0	0	0	0	1	0
65+	11	2	2	1	1	1	0	3	0	0	1	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dhiyamigili
Both Sexes	209	6	22	21	21	50	11	23	11	5	9	7	23	0
15-19	2	0	1	0	0	1	0	0	0	0	0	0	0	0
20-24	23	0	0	0	0	12	4	1	2	2	1	1	0	0
25-29	27	0	0	1	0	15	2	1	2	0	2	1	3	0
30-34	29	0	2	5	5	1	1	4	0	1	3	3	4	0
35-39	30	1	3	3	3	8	1	3	1	2	1	0	4	0
40-44	23	1	4	5	4	3	1	2	2	0	0	0	1	0
45-49	16	0	2	1	2	3	2	2	2	0	1	0	1	0
50-54	17	1	2	1	2	5	0	2	0	0	0	1	3	0
55-59	7	0	1	1	1	0	0	3	0	0	0	0	1	0
60-64	17	2	3	3	4	0	0	3	0	0	0	0	2	0
65+	18	1	4	1	0	2	0	2	2	0	1	1	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	84	1	4	1	6	8	3	16	8	3	9	5	20	0
15-19	1	0	1	0	0	0	0	0	0	0	0	0	0	0
20-24	1	0	0	0	0	0	0	0	0	0	1	0	0	0
25-29	9	0	0	0	0	2	0	1	1	0	2	1	2	0
30-34	15	0	0	0	3	0	0	3	0	1	3	2	3	0
35-39	11	0	0	0	0	1	0	3	1	2	1	0	3	0
40-44	6	0	0	0	0	0	1	2	2	0	0	0	1	0
45-49	10	0	0	0	1	1	2	2	2	0	1	0	1	0
50-54	9	0	0	0	0	4	0	1	0	0	0	1	3	0
55-59	5	0	0	0	1	0	0	3	0	0	0	0	1	0
60-64	5	1	0	1	1	0	0	0	0	0	0	0	2	0
65+	12	0	3	0	0	0	0	1	2	0	1	1	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	125	5	18	20	15	42	8	7	3	2	0	2	3	0
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	22	0	0	0	0	12	4	1	2	2	0	1	0	0
25-29	18	0	0	1	0	13	2	0	1	0	0	0	1	0
30-34	14	0	2	5	2	1	1	1	0	0	0	1	1	0
35-39	19	1	3	3	3	7	1	0	0	0	0	0	1	0
40-44	17	1	4	5	4	3	0	0	0	0	0	0	0	0
45-49	6	0	2	1	1	2	0	0	0	0	0	0	0	0
50-54	8	1	2	1	2	1	0	1	0	0	0	0	0	0
55-59	2	0	1	1	0	0	0	0	0	0	0	0	0	0
60-64	12	1	3	2	3	0	0	3	0	0	0	0	0	0
65+	6	1	1	1	0	2	0	1	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Guraidhoo
Both Sexes	632	16	37	39	23	75	50	45	41	25	23	27	206	25
15-19	51	0	7	15	8	10	7	3	0	0	0	0	0	1
20-24	55	0	0	0	0	5	8	5	11	7	11	6	2	0
25-29	63	0	0	0	0	5	6	7	5	5	5	7	23	0
30-34	58	0	1	0	2	3	3	3	4	3	4	4	31	0
35-39	71	0	3	7	4	9	6	1	2	0	0	3	36	0
40-44	76	1	8	4	2	13	7	4	2	1	1	2	31	0
45-49	61	3	0	5	2	7	2	2	6	1	0	0	33	0
50-54	29	2	3	0	3	5	0	3	0	0	0	1	12	0
55-59	11	1	3	1	0	0	2	0	0	0	0	0	4	0
60-64	30	2	3	0	0	1	1	4	1	2	0	1	15	0
65+	103	7	9	7	2	17	8	13	10	6	2	3	19	0
Not Stated	24	0	0	0	0	0	0	0	0	0	0	0	0	24
Male	272	0	5	11	8	23	20	17	15	14	10	17	120	12
15-19	23	0	4	7	4	3	4	1	0	0	0	0	0	0
20-24	10	0	0	0	0	0	0	0	0	3	5	2	0	0
25-29	20	0	0	0	0	0	0	0	1	2	1	3	13	0
30-34	20	0	0	0	0	0	0	0	0	0	1	3	16	0
35-39	26	0	0	0	0	0	2	1	1	0	0	2	20	0
40-44	31	0	0	0	0	3	3	1	1	0	1	2	20	0
45-49	29	0	0	0	0	2	0	1	4	1	0	0	21	0
50-54	16	0	0	0	3	2	0	3	0	0	0	1	7	0
55-59	5	0	0	0	0	0	2	0	0	0	0	0	3	0
60-64	17	0	0	0	0	1	1	3	1	2	0	1	8	0
65+	63	0	1	4	1	12	8	7	7	6	2	3	12	0
Not Stated	12	0	0	0	0	0	0	0	0	0	0	0	0	12
Female	360	16	32	28	15	52	30	28	26	11	13	10	86	13
15-19	28	0	3	8	4	7	3	2	0	0	0	0	0	1
20-24	45	0	0	0	0	5	8	5	11	4	6	4	2	0
25-29	43	0	0	0	0	5	6	7	4	3	4	4	10	0
30-34	38	0	1	0	2	3	3	3	4	3	3	1	15	0
35-39	45	0	3	7	4	9	4	0	1	0	0	1	16	0
40-44	45	1	8	4	2	10	4	3	1	1	0	0	11	0
45-49	32	3	0	5	2	5	2	1	2	0	0	0	12	0
50-54	13	2	3	0	0	3	0	0	0	0	0	0	5	0
55-59	6	1	3	1	0	0	0	0	0	0	0	0	1	0
60-64	13	2	3	0	0	0	0	1	0	0	0	0	7	0
65+	40	7	8	3	1	5	0	6	3	0	0	0	7	0
Not Stated	12	0	0	0	0	0	0	0	0	0	0	0	0	12
Kadoodhoo
Both Sexes	173	2	23	7	10	20	12	29	6	5	9	5	45	0
15-19	4	0	0	1	0	2	1	0	0	0	0	0	0	0
20-24	9	0	0	0	0	0	1	1	2	2	2	1	0	0
25-29	18	0	0	0	1	4	1	0	1	0	3	4	4	0
30-34	27	0	1	1	2	3	2	2	1	0	3	0	12	0
35-39	24	0	7	2	0	4	1	1	1	1	0	0	7	0
40-44	25	0	5	0	2	2	1	6	1	1	0	0	7	0
45-49	10	1	2	0	0	0	1	4	0	0	1	0	1	0
50-54	5	0	1	1	1	0	0	0	0	0	0	0	2	0
55-59	12	0	2	2	1	0	1	3	0	0	0	0	3	0
60-64	11	0	2	0	0	2	1	2	0	1	0	0	3	0
65+	28	1	3	0	3	3	2	10	0	0	0	0	6	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	73	0	6	2	3	6	4	10	3	2	2	1	34	0
15-19	3	0	0	1	0	2	0	0	0	0	0	0	0	0
20-24	2	0	0	0	0	0	0	0	1	0	1	0	0	0
25-29	6	0	0	0	1	0	1	0	1	0	0	1	2	0
30-34	10	0	0	0	0	0	0	0	0	0	1	0	9	0
35-39	10	0	2	0	0	0	0	0	1	1	0	0	6	0
40-44	11	0	1	0	0	1	0	3	0	1	0	0	5	0
45-49	4	0	0	0	0	0	0	3	0	0	0	0	1	0
50-54	3	0	1	0	0	0	0	0	0	0	0	0	2	0
55-59	4	0	0	1	0	0	1	0	0	0	0	0	2	0
60-64	4	0	1	0	0	1	0	1	0	0	0	0	1	0
65+	16	0	1	0	2	2	2	3	0	0	0	0	6	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	100	2	17	5	7	14	8	19	3	3	7	4	11	0
15-19	1	0	0	0	0	0	1	0	0	0	0	0	0	0
20-24	7	0	0	0	0	0	1	1	1	2	1	1	0	0
25-29	12	0	0	0	0	4	0	0	0	0	3	3	2	0
30-34	17	0	1	1	2	3	2	2	1	0	2	0	3	0
35-39	14	0	5	2	0	4	1	1	0	0	0	0	1	0
40-44	14	0	4	0	2	1	1	3	1	0	0	0	2	0
45-49	6	1	2	0	0	0	1	1	0	0	1	0	0	0
50-54	2	0	0	1	1	0	0	0	0	0	0	0	0	0
55-59	8	0	2	1	1	0	0	3	0	0	0	0	1	0
60-64	7	0	1	0	0	1	1	1	0	1	0	0	2	0
65+	12	1	2	0	1	1	0	7	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Vandhoo
Both Sexes	139	9	10	8	10	30	15	6	13	4	3	7	21	3
15-19	7	0	1	3	1	1	1	0	0	0	0	0	0	0
20-24	13	0	0	0	0	4	1	2	4	1	1	0	0	0
25-29	10	0	0	0	0	2	3	0	1	0	0	1	3	0
30-34	27	0	1	1	4	6	4	1	1	1	0	3	5	0
35-39	17	0	2	2	0	3	0	0	1	1	2	0	6	0
40-44	8	2	1	1	0	0	1	1	0	0	0	0	2	0
45-49	19	2	1	1	0	6	5	1	0	0	0	1	2	0
50-54	6	0	1	0	1	2	0	0	1	0	0	0	1	0
55-59	6	0	0	0	3	1	0	0	2	0	0	0	0	0
60-64	5	2	1	0	0	1	0	0	0	0	0	1	0	0
65+	18	3	2	0	1	4	0	1	3	1	0	1	2	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Male	67	2	1	2	4	9	6	5	7	4	2	6	17	2
15-19	4	0	0	2	1	1	0	0	0	0	0	0	0	0
20-24	4	0	0	0	0	1	0	1	1	1	0	0	0	0
25-29	4	0	0	0	0	0	0	0	1	0	0	1	2	0
30-34	12	0	0	0	0	0	1	1	1	1	0	3	5	0
35-39	9	0	0	0	0	1	0	0	0	1	2	0	5	0
40-44	3	0	0	0	0	0	1	1	0	0	0	0	1	0
45-49	10	0	0	0	0	2	4	1	0	0	0	1	2	0
50-54	3	0	0	0	1	0	0	0	1	0	0	0	1	0
55-59	3	0	0	0	1	1	0	0	1	0	0	0	0	0
60-64	1	0	0	0	0	0	0	0	0	0	0	1	0	0
65+	12	2	1	0	1	3	0	1	2	1	0	0	1	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	72	7	9	6	6	21	9	1	6	0	1	1	4	1
15-19	3	0	1	1	0	0	1	0	0	0	0	0	0	0
20-24	9	0	0	0	0	3	1	1	3	0	1	0	0	0
25-29	6	0	0	0	0	2	3	0	0	0	0	0	1	0
30-34	15	0	1	1	4	6	3	0	0	0	0	0	0	0
35-39	8	0	2	2	0	2	0	0	1	0	0	0	1	0
40-44	5	2	1	1	0	0	0	0	0	0	0	0	1	0
45-49	9	2	1	1	0	4	1	0	0	0	0	0	0	0
50-54	3	0	1	0	0	2	0	0	0	0	0	0	0	0
55-59	3	0	0	0	2	0	0	0	1	0	0	0	0	0
60-64	4	2	1	0	0	1	0	0	0	0	0	0	0	0
65+	6	1	1	0	0	1	0	0	1	0	0	1	1	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Hirilandhoo
Both Sexes	394	14	42	26	34	106	29	34	32	19	11	8	35	4
15-19	18	0	1	0	0	12	2	0	0	0	0	0	0	3
20-24	45	0	0	0	0	15	8	8	7	3	4	0	0	0
25-29	47	0	0	0	2	24	2	2	9	1	0	3	4	0
30-34	57	0	6	4	6	13	2	8	6	6	3	0	3	0
35-39	53	0	12	5	9	8	3	2	4	1	3	1	5	0
40-44	59	5	3	5	10	12	6	4	4	2	1	3	4	0
45-49	43	2	6	9	1	7	3	5	0	3	0	1	6	0
50-54	11	1	1	2	2	4	0	0	0	1	0	0	0	0
55-59	10	2	2	0	0	2	1	0	2	0	0	0	1	0
60-64	9	1	0	1	0	2	2	1	0	1	0	0	1	0
65+	40	2	11	0	4	7	0	4	0	1	0	0	11	0
Not Stated	2	1	0	0	0	0	0	0	0	0	0	0	0	1
Male	189	4	6	4	11	30	15	22	27	16	10	8	34	2
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	18	0	0	0	0	0	2	5	6	1	4	0	0	0
25-29	21	0	0	0	1	4	1	0	7	1	0	3	4	0
30-34	32	0	0	1	3	5	1	4	6	6	3	0	3	0
35-39	22	0	2	1	0	3	2	2	4	0	2	1	5	0
40-44	33	2	0	0	4	5	5	4	3	2	1	3	4	0
45-49	23	1	2	2	0	2	2	4	0	3	0	1	6	0
50-54	4	0	0	0	1	2	0	0	0	1	0	0	0	0
55-59	6	1	0	0	0	2	1	0	1	0	0	0	1	0
60-64	6	0	0	0	0	2	1	1	0	1	0	0	1	0
65+	22	0	2	0	2	5	0	2	0	1	0	0	10	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	205	10	36	22	23	76	14	12	5	3	1	0	1	2
15-19	17	0	1	0	0	12	2	0	0	0	0	0	0	2
20-24	27	0	0	0	0	15	6	3	1	2	0	0	0	0
25-29	26	0	0	0	1	20	1	2	2	0	0	0	0	0
30-34	25	0	6	3	3	8	1	4	0	0	0	0	0	0
35-39	31	0	10	4	9	5	1	0	0	1	1	0	0	0
40-44	26	3	3	5	6	7	1	0	1	0	0	0	0	0
45-49	20	1	4	7	1	5	1	1	0	0	0	0	0	0
50-54	7	1	1	2	1	2	0	0	0	0	0	0	0	0
55-59	4	1	2	0	0	0	0	0	1	0	0	0	0	0
60-64	3	1	0	1	0	0	1	0	0	0	0	0	0	0
65+	18	2	9	0	2	2	0	2	0	0	0	0	1	0
Not Stated	1	1	0	0	0	0	0	0	0	0	0	0	0	0
Gaadhiffushi
Both Sexes	123	3	17	9	7	23	19	12	5	8	4	1	14	1
15-19	2	0	0	0	1	1	0	0	0	0	0	0	0	0
20-24	10	0	0	0	0	4	2	1	3	0	0	0	0	0
25-29	15	0	0	0	0	5	4	2	1	0	0	1	2	0
30-34	13	0	1	1	0	3	0	2	0	2	2	0	2	0
35-39	8	0	2	0	1	0	1	1	0	1	0	0	2	0
40-44	18	1	4	2	2	4	2	1	0	1	0	0	1	0
45-49	13	1	1	3	1	0	2	1	1	1	1	0	1	0
50-54	6	0	2	1	0	1	1	0	0	0	0	0	1	0
55-59	9	1	2	1	0	0	1	1	0	3	0	0	0	0
60-64	9	0	1	0	2	2	1	2	0	0	1	0	0	0
65+	19	0	4	1	0	3	5	1	0	0	0	0	5	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	63	0	1	1	4	8	12	8	3	7	4	0	14	1
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	2	0	0	0	0	0	1	0	1	0	0	0	0	0
25-29	7	0	0	0	0	0	3	1	1	0	0	0	2	0
30-34	10	0	0	0	0	2	0	2	0	2	2	0	2	0
35-39	5	0	0	0	1	0	0	1	0	1	0	0	2	0
40-44	5	0	0	0	0	2	1	0	0	1	0	0	1	0
45-49	7	0	0	0	1	0	1	1	1	1	1	0	1	0
50-54	3	0	0	0	0	1	1	0	0	0	0	0	1	0
55-59	4	0	0	1	0	0	0	1	0	2	0	0	0	0
60-64	6	0	0	0	2	1	1	1	0	0	1	0	0	0
65+	13	0	1	0	0	2	4	1	0	0	0	0	5	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	60	3	16	8	3	15	7	4	2	1	0	1	0	0
15-19	2	0	0	0	1	1	0	0	0	0	0	0	0	0
20-24	8	0	0	0	0	4	1	1	2	0	0	0	0	0
25-29	8	0	0	0	0	5	1	1	0	0	0	1	0	0
30-34	3	0	1	1	0	1	0	0	0	0	0	0	0	0
35-39	3	0	2	0	0	0	1	0	0	0	0	0	0	0
40-44	13	1	4	2	2	2	1	1	0	0	0	0	0	0
45-49	6	1	1	3	0	0	1	0	0	0	0	0	0	0
50-54	3	0	2	1	0	0	0	0	0	0	0	0	0	0
55-59	5	1	2	0	0	0	1	0	0	1	0	0	0	0
60-64	3	0	1	0	0	1	0	1	0	0	0	0	0	0
65+	6	0	3	1	0	1	1	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Thimarafushi
Both Sexes	551	40	33	44	63	75	38	50	34	29	14	23	98	10
15-19	14	0	0	1	5	4	2	0	0	0	0	0	0	2
20-24	22	0	0	0	0	4	3	5	6	2	2	0	0	0
25-29	49	0	0	0	0	13	5	7	3	5	1	6	9	0
30-34	59	0	1	4	6	12	3	5	8	3	0	1	16	0
35-39	63	1	7	4	8	12	2	3	5	4	2	1	14	0
40-44	79	5	9	16	11	4	7	3	2	2	1	3	16	0
45-49	87	4	2	6	11	11	10	6	4	6	6	8	13	0
50-54	33	7	4	4	6	4	0	1	0	1	1	1	4	0
55-59	19	5	2	0	1	1	2	5	1	1	0	0	1	0
60-64	41	8	3	2	6	1	0	5	2	3	0	3	8	0
65+	77	10	5	7	9	9	4	10	3	2	1	0	17	0
Not Stated	8	0	0	0	0	0	0	0	0	0	0	0	0	8
Male	236	1	9	2	10	19	18	29	16	16	10	17	84	5
15-19	6	0	0	0	3	2	1	0	0	0	0	0	0	0
20-24	1	0	0	0	0	0	0	1	0	0	0	0	0	0
25-29	15	0	0	0	0	1	0	2	1	0	1	3	7	0
30-34	18	0	0	0	0	1	0	3	2	1	0	0	11	0
35-39	22	0	1	0	0	1	1	1	2	2	1	1	12	0
40-44	30	0	4	0	0	0	4	1	2	2	1	1	15	0
45-49	57	0	0	1	2	6	8	5	4	5	5	8	13	0
50-54	11	0	1	0	1	1	0	1	0	1	1	1	4	0
55-59	7	0	0	0	0	0	1	3	1	1	0	0	1	0
60-64	20	0	0	0	2	1	0	4	1	2	0	3	7	0
65+	44	1	3	1	2	6	3	8	3	2	1	0	14	0
Not Stated	5	0	0	0	0	0	0	0	0	0	0	0	0	5
Female	315	39	24	42	53	56	20	21	18	13	4	6	14	5
15-19	8	0	0	1	2	2	1	0	0	0	0	0	0	2
20-24	21	0	0	0	0	4	3	4	6	2	2	0	0	0
25-29	34	0	0	0	0	12	5	5	2	5	0	3	2	0
30-34	41	0	1	4	6	11	3	2	6	2	0	1	5	0
35-39	41	1	6	4	8	11	1	2	3	2	1	0	2	0
40-44	49	5	5	16	11	4	3	2	0	0	0	2	1	0
45-49	30	4	2	5	9	5	2	1	0	1	1	0	0	0
50-54	22	7	3	4	5	3	0	0	0	0	0	0	0	0
55-59	12	5	2	0	1	1	1	2	0	0	0	0	0	0
60-64	21	8	3	2	4	0	0	1	1	1	0	0	1	0
65+	33	9	2	6	7	3	1	2	0	0	0	0	3	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Veymandoo
Both Sexes	410	12	38	32	25	83	39	48	29	24	20	24	35	1
15-19	4	0	0	0	0	3	1	0	0	0	0	0	0	0
20-24	54	0	0	0	0	18	7	12	7	6	3	1	0	0
25-29	77	0	0	0	1	12	9	11	8	7	5	15	9	0
30-34	60	0	6	4	4	13	6	1	6	3	6	2	9	0
35-39	55	0	7	8	6	10	5	4	2	0	4	1	8	0
40-44	52	2	5	6	8	11	5	3	4	3	1	2	2	0
45-49	36	2	9	3	4	10	1	3	0	0	0	2	2	0
50-54	14	3	1	3	0	2	3	1	0	1	0	0	0	0
55-59	17	2	1	2	1	2	1	3	1	1	1	1	1	0
60-64	16	2	5	3	0	0	0	2	0	2	0	0	2	0
65+	24	1	4	3	1	2	1	8	1	1	0	0	2	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	195	0	3	5	8	29	21	30	18	16	16	18	30	1
15-19	2	0	0	0	0	2	0	0	0	0	0	0	0	0
20-24	16	0	0	0	0	1	2	5	2	4	2	0	0	0
25-29	38	0	0	0	0	1	2	4	4	4	4	12	7	0
30-34	31	0	0	1	1	3	4	0	6	2	5	2	7	0
35-39	30	0	0	0	1	7	4	4	2	0	3	1	8	0
40-44	28	0	1	1	3	7	4	3	3	2	1	1	2	0
45-49	14	0	1	0	2	4	1	3	0	0	0	1	2	0
50-54	6	0	0	1	0	2	2	1	0	0	0	0	0	0
55-59	11	0	0	0	1	1	1	3	1	1	1	1	1	0
60-64	5	0	0	0	0	0	0	1	0	2	0	0	2	0
65+	13	0	1	2	0	1	1	6	0	1	0	0	1	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	215	12	35	27	17	54	18	18	11	8	4	6	5	0
15-19	2	0	0	0	0	1	1	0	0	0	0	0	0	0
20-24	38	0	0	0	0	17	5	7	5	2	1	1	0	0
25-29	39	0	0	0	1	11	7	7	4	3	1	3	2	0
30-34	29	0	6	3	3	10	2	1	0	1	1	0	2	0
35-39	25	0	7	8	5	3	1	0	0	0	1	0	0	0
40-44	24	2	4	5	5	4	1	0	1	1	0	1	0	0
45-49	22	2	8	3	2	6	0	0	0	0	0	1	0	0
50-54	8	3	1	2	0	0	1	0	0	1	0	0	0	0
55-59	6	2	1	2	0	1	0	0	0	0	0	0	0	0
60-64	11	2	5	3	0	0	0	1	0	0	0	0	0	0
65+	11	1	3	1	1	1	0	2	1	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Kibidhoo
Both Sexes	362	17	45	39	23	68	24	39	15	21	8	12	51	0
15-19	8	0	0	1	3	3	1	0	0	0	0	0	0	0
20-24	35	0	0	0	0	13	9	6	1	1	3	2	0	0
25-29	41	0	1	0	1	13	1	3	3	5	2	3	9	0
30-34	45	0	6	10	1	3	3	4	1	6	0	4	7	0
35-39	50	0	15	7	8	4	2	2	3	2	2	1	4	0
40-44	49	3	6	6	3	8	2	6	3	3	0	2	7	0
45-49	36	0	3	8	2	6	4	5	1	1	1	0	5	0
50-54	9	0	0	2	0	4	0	0	0	0	0	0	3	0
55-59	17	4	4	2	2	1	0	0	2	0	0	0	2	0
60-64	22	4	5	1	1	4	0	2	0	0	0	0	5	0
65+	49	5	5	2	2	9	2	11	1	3	0	0	9	0
Not Stated	1	1	0	0	0	0	0	0	0	0	0	0	0	0
Male	149	0	4	6	6	9	9	27	8	14	6	11	49	0
15-19	3	0	0	0	2	1	0	0	0	0	0	0	0	0
20-24	5	0	0	0	0	0	0	2	0	0	1	2	0	0
25-29	15	0	0	0	0	0	0	1	0	1	2	3	8	0
30-34	20	0	1	0	0	0	2	0	0	6	0	4	7	0
35-39	16	0	0	0	0	1	1	2	3	2	2	1	4	0
40-44	25	0	0	1	1	2	2	6	3	2	0	1	7	0
45-49	19	0	0	3	0	2	3	4	0	1	1	0	5	0
50-54	4	0	0	1	0	0	0	0	0	0	0	0	3	0
55-59	6	0	0	0	2	1	0	0	1	0	0	0	2	0
60-64	10	0	1	0	1	2	0	2	0	0	0	0	4	0
65+	26	0	2	1	0	0	1	10	1	2	0	0	9	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	213	17	41	33	17	59	15	12	7	7	2	1	2	0
15-19	5	0	0	1	1	2	1	0	0	0	0	0	0	0
20-24	30	0	0	0	0	13	9	4	1	1	2	0	0	0
25-29	26	0	1	0	1	13	1	2	3	4	0	0	1	0
30-34	25	0	5	10	1	3	1	4	1	0	0	0	0	0
35-39	34	0	15	7	8	3	1	0	0	0	0	0	0	0
40-44	24	3	6	5	2	6	0	0	0	1	0	1	0	0
45-49	17	0	3	5	2	4	1	1	1	0	0	0	0	0
50-54	5	0	0	1	0	4	0	0	0	0	0	0	0	0
55-59	11	4	4	2	0	0	0	0	1	0	0	0	0	0
60-64	12	4	4	1	0	2	0	0	0	0	0	0	1	0
65+	23	5	3	1	2	9	1	1	0	1	0	0	0	0
Not Stated	1	1	0	0	0	0	0	0	0	0	0	0	0	0
Omadhoo
Both Sexes	188	5	12	13	16	32	22	21	17	10	5	3	30	2
15-19	8	0	0	1	0	4	1	0	0	0	0	0	0	2
20-24	10	0	0	0	0	3	3	3	1	0	0	0	0	0
25-29	35	0	1	0	0	5	5	1	8	2	3	1	9	0
30-34	21	0	3	1	1	3	2	1	1	2	0	1	6	0
35-39	20	0	0	0	3	4	3	4	2	0	0	0	4	0
40-44	12	1	2	1	1	3	1	0	0	0	1	0	2	0
45-49	14	0	0	2	2	1	1	4	0	3	1	0	0	0
50-54	15	1	2	3	1	2	2	0	3	0	0	1	0	0
55-59	12	2	0	0	0	3	4	0	2	0	0	0	1	0
60-64	7	0	0	2	1	1	0	1	0	2	0	0	0	0
65+	34	1	4	3	7	3	0	7	0	1	0	0	8	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	87	1	1	2	7	9	8	12	6	7	3	3	26	2
15-19	3	0	0	1	0	0	0	0	0	0	0	0	0	2
20-24	2	0	0	0	0	0	1	1	0	0	0	0	0	0
25-29	11	0	0	0	0	0	0	0	1	1	2	1	6	0
30-34	9	0	0	0	0	1	1	0	0	1	0	1	5	0
35-39	9	0	0	0	0	1	1	2	1	0	0	0	4	0
40-44	6	0	0	0	0	2	1	0	0	0	1	0	2	0
45-49	8	0	0	0	1	1	0	3	0	3	0	0	0	0
50-54	6	0	0	0	1	1	1	0	2	0	0	1	0	0
55-59	8	1	0	0	0	1	3	0	2	0	0	0	1	0
60-64	3	0	0	1	0	1	0	0	0	1	0	0	0	0
65+	22	0	1	0	5	1	0	6	0	1	0	0	8	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	101	4	11	11	9	23	14	9	11	3	2	0	4	0
15-19	5	0	0	0	0	4	1	0	0	0	0	0	0	0
20-24	8	0	0	0	0	3	2	2	1	0	0	0	0	0
25-29	24	0	1	0	0	5	5	1	7	1	1	0	3	0
30-34	12	0	3	1	1	2	1	1	1	1	0	0	1	0
35-39	11	0	0	0	3	3	2	2	1	0	0	0	0	0
40-44	6	1	2	1	1	1	0	0	0	0	0	0	0	0
45-49	6	0	0	2	1	0	1	1	0	0	1	0	0	0
50-54	9	1	2	3	0	1	1	0	1	0	0	0	0	0
55-59	4	1	0	0	0	2	1	0	0	0	0	0	0	0
60-64	4	0	0	1	1	0	0	1	0	1	0	0	0	0
65+	12	1	3	3	2	2	0	1	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Industrial and Other Islands
Both Sexes	17	0	0	2	2	1	0	1	1	0	2	0	8	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	1	0	0	0	0	0	0	0	0	0	1	0	0	0
25-29	3	0	0	0	0	0	0	0	0	0	1	0	2	0
30-34	3	0	0	1	1	0	0	0	0	0	0	0	1	0
35-39	3	0	0	0	0	0	0	0	1	0	0	0	2	0
40-44	2	0	0	0	0	1	0	0	0	0	0	0	1	0
45-49	3	0	0	1	1	0	0	0	0	0	0	0	1	0
50-54	1	0	0	0	0	0	0	0	0	0	0	0	1	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	1	0	0	0	0	0	0	1	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	17	0	0	2	2	1	0	1	1	0	2	0	8	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	1	0	0	0	0	0	0	0	0	0	1	0	0	0
25-29	3	0	0	0	0	0	0	0	0	0	1	0	2	0
30-34	3	0	0	1	1	0	0	0	0	0	0	0	1	0
35-39	3	0	0	0	0	0	0	0	1	0	0	0	2	0
40-44	2	0	0	0	0	1	0	0	0	0	0	0	1	0
45-49	3	0	0	1	1	0	0	0	0	0	0	0	1	0
50-54	1	0	0	0	0	0	0	0	0	0	0	0	1	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	1	0	0	0	0	0	0	1	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	0	0	0	0	0	0	0	0	0	0	0	0	0	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25-29	0	0	0	0	0	0	0	0	0	0	0	0	0	0
30-34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35-39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40-44	0	0	0	0	0	0	0	0	0	0	0	0	0	0
45-49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Ministry of Planning and National Development