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)
South Huvadhu Atoll (GDh)
Both Sexes	5,096	428	810	380	313	882	311	455	251	217	178	112	658	101
Madeveli	476	61	65	27	32	88	38	56	20	15	12	3	58	1
Hoadedhdhoo	307	44	52	24	10	46	14	20	14	16	14	10	37	6
Nadallaa	263	15	41	15	19	54	15	28	18	9	9	5	34	1
Gadhdhoo	703	43	85	82	51	130	50	68	27	34	17	14	96	6
Rathafandhoo	253	34	56	19	17	42	14	16	9	10	6	6	22	2
Vaadhoo	297	13	59	22	27	67	23	21	11	15	4	4	24	7
Fiyoari	334	16	66	32	19	61	19	36	17	12	9	4	41	2
Faresmaathodaa	437	46	88	36	35	70	20	36	23	10	10	3	57	3
Thinadhoo	2,017	156	297	123	102	324	118	173	111	95	97	63	285	73
Industrial and Other Islands	9	0	1	0	1	0	0	1	1	1	0	0	4	0
Male	2,304	42	150	115	143	296	157	295	134	152	123	84	548	65
Madeveli	203	2	5	7	18	32	17	40	5	14	7	2	54	0
Hoadedhdhoo	126	2	13	9	1	13	6	11	8	11	10	9	30	3
Nadallaa	110	4	7	5	7	7	9	18	8	7	7	4	27	0
Gadhdhoo	338	2	17	22	21	50	26	49	17	23	13	12	83	3
Rathafandhoo	113	4	18	7	8	12	7	10	7	9	5	5	20	1
Vaadhoo	129	1	9	3	11	27	16	13	7	11	2	3	20	6
Fiyoari	144	2	10	7	8	19	7	22	11	8	7	4	37	2
Faresmaathodaa	206	6	23	15	23	23	10	25	13	6	8	2	49	3
Thinadhoo	926	19	47	40	45	113	59	106	57	62	64	43	224	47
Industrial and Other Islands	9	0	1	0	1	0	0	1	1	1	0	0	4	0
Female	2,792	386	660	265	170	586	154	160	117	65	55	28	110	36
Madeveli	273	59	60	20	14	56	21	16	15	1	5	1	4	1
Hoadedhdhoo	181	42	39	15	9	33	8	9	6	5	4	1	7	3
Nadallaa	153	11	34	10	12	47	6	10	10	2	2	1	7	1
Gadhdhoo	365	41	68	60	30	80	24	19	10	11	4	2	13	3
Rathafandhoo	140	30	38	12	9	30	7	6	2	1	1	1	2	1
Vaadhoo	168	12	50	19	16	40	7	8	4	4	2	1	4	1
Fiyoari	190	14	56	25	11	42	12	14	6	4	2	0	4	0
Faresmaathodaa	231	40	65	21	12	47	10	11	10	4	2	1	8	0
Thinadhoo	1,091	137	250	83	57	211	59	67	54	33	33	20	61	26
Industrial and Other Islands	0	0	0	0	0	0	0	0	0	0	0	0	0	0
South Huvadhu Atoll (GDh)
Both Sexes	5,096	428	810	380	313	882	311	455	251	217	178	112	658	101
15-19	110	0	7	15	14	40	17	2	0	0	0	0	0	15
20-24	427	0	0	0	0	128	61	70	82	39	41	5	1	0
25-29	599	0	20	10	6	185	35	48	45	47	53	42	108	0
30-34	611	0	124	43	44	73	39	51	26	25	25	30	131	0
35-39	567	4	182	53	33	80	29	31	22	18	20	11	84	0
40-44	434	60	74	47	38	62	23	31	17	17	9	5	51	0
45-49	510	86	84	58	36	90	23	40	19	16	5	4	49	0
50-54	359	70	56	29	28	55	22	35	10	13	8	3	30	0
55-59	330	51	66	35	19	52	13	31	9	10	8	1	35	0
60-64	266	36	46	26	24	36	12	28	5	6	2	3	42	0
65+	789	119	148	62	71	81	37	87	16	26	7	8	127	0
Not Stated	94	2	3	2	0	0	0	1	0	0	0	0	0	86
Male	2,304	42	150	115	143	296	157	295	134	152	123	84	548	65
15-19	43	0	6	9	8	3	8	2	0	0	0	0	0	7
20-24	93	0	0	0	0	5	7	13	23	16	25	3	1	0
25-29	216	0	0	0	1	21	7	17	18	19	28	27	78	0
30-34	268	0	8	9	8	19	21	31	15	17	14	21	105	0
35-39	234	0	15	10	9	30	20	22	16	14	18	11	69	0
40-44	219	5	8	13	21	34	18	26	16	16	8	5	49	0
45-49	234	4	14	17	15	47	20	34	14	15	5	4	45	0
50-54	179	4	8	11	15	32	16	29	10	13	8	3	30	0
55-59	161	4	14	11	12	26	10	28	7	10	8	1	30	0
60-64	153	5	15	11	12	25	9	25	3	6	2	3	37	0
65+	443	20	61	23	42	54	21	67	12	26	7	6	104	0
Not Stated	61	0	1	1	0	0	0	1	0	0	0	0	0	58
Female	2,792	386	660	265	170	586	154	160	117	65	55	28	110	36
15-19	67	0	1	6	6	37	9	0	0	0	0	0	0	8
20-24	334	0	0	0	0	123	54	57	59	23	16	2	0	0
25-29	383	0	20	10	5	164	28	31	27	28	25	15	30	0
30-34	343	0	116	34	36	54	18	20	11	8	11	9	26	0
35-39	333	4	167	43	24	50	9	9	6	4	2	0	15	0
40-44	215	55	66	34	17	28	5	5	1	1	1	0	2	0
45-49	276	82	70	41	21	43	3	6	5	1	0	0	4	0
50-54	180	66	48	18	13	23	6	6	0	0	0	0	0	0
55-59	169	47	52	24	7	26	3	3	2	0	0	0	5	0
60-64	113	31	31	15	12	11	3	3	2	0	0	0	5	0
65+	346	99	87	39	29	27	16	20	4	0	0	2	23	0
Not Stated	33	2	2	1	0	0	0	0	0	0	0	0	0	28
Madeveli
Both Sexes	476	61	65	27	32	88	38	56	20	15	12	3	58	1
15-19	15	0	1	1	3	5	4	0	0	0	0	0	0	1
20-24	49	0	0	0	0	16	9	11	8	4	1	0	0	0
25-29	59	0	2	1	0	22	4	3	8	1	6	0	12	0
30-34	57	0	11	3	10	6	2	8	2	1	0	1	13	0
35-39	39	0	12	7	1	7	1	2	1	3	1	0	4	0
40-44	28	1	3	7	6	1	0	2	0	2	0	0	6	0
45-49	63	18	12	2	1	9	6	4	1	0	2	0	8	0
50-54	40	10	6	1	1	7	2	7	0	1	1	1	3	0
55-59	37	9	6	0	2	8	2	6	0	2	0	0	2	0
60-64	18	5	2	2	1	1	0	2	0	0	0	1	4	0
65+	71	18	10	3	7	6	8	11	0	1	1	0	6	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	203	2	5	7	18	32	17	40	5	14	7	2	54	0
15-19	5	0	1	1	2	0	1	0	0	0	0	0	0	0
20-24	8	0	0	0	0	1	0	2	1	3	1	0	0	0
25-29	17	0	0	0	0	2	0	1	2	1	1	0	10	0
30-34	26	0	0	2	2	2	1	5	1	1	0	0	12	0
35-39	14	0	0	0	0	2	1	2	1	3	1	0	4	0
40-44	16	0	0	1	4	1	0	2	0	2	0	0	6	0
45-49	25	0	0	0	1	6	5	3	0	0	2	0	8	0
50-54	22	0	0	0	1	6	2	7	0	1	1	1	3	0
55-59	19	1	0	0	2	5	1	6	0	2	0	0	2	0
60-64	11	0	0	2	1	1	0	2	0	0	0	1	4	0
65+	40	1	4	1	5	6	6	10	0	1	1	0	5	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	273	59	60	20	14	56	21	16	15	1	5	1	4	1
15-19	10	0	0	0	1	5	3	0	0	0	0	0	0	1
20-24	41	0	0	0	0	15	9	9	7	1	0	0	0	0
25-29	42	0	2	1	0	20	4	2	6	0	5	0	2	0
30-34	31	0	11	1	8	4	1	3	1	0	0	1	1	0
35-39	25	0	12	7	1	5	0	0	0	0	0	0	0	0
40-44	12	1	3	6	2	0	0	0	0	0	0	0	0	0
45-49	38	18	12	2	0	3	1	1	1	0	0	0	0	0
50-54	18	10	6	1	0	1	0	0	0	0	0	0	0	0
55-59	18	8	6	0	0	3	1	0	0	0	0	0	0	0
60-64	7	5	2	0	0	0	0	0	0	0	0	0	0	0
65+	31	17	6	2	2	0	2	1	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Hoadedhdhoo
Both Sexes	307	44	52	24	10	46	14	20	14	16	14	10	37	6
15-19	9	0	1	2	1	4	0	1	0	0	0	0	0	0
20-24	33	0	0	0	0	11	5	4	6	2	4	0	1	0
25-29	43	0	3	1	1	12	1	2	3	3	4	5	8	0
30-34	38	0	6	3	5	5	0	4	0	1	0	2	12	0
35-39	37	1	14	1	2	3	1	1	1	3	2	3	5	0
40-44	17	3	2	1	0	1	3	1	0	1	1	0	4	0
45-49	30	13	8	3	0	1	1	0	0	3	0	0	1	0
50-54	25	8	2	2	0	4	2	4	1	0	1	0	1	0
55-59	18	4	2	4	0	2	0	2	1	0	1	0	2	0
60-64	12	3	4	0	0	2	0	0	0	2	0	0	1	0
65+	37	11	9	7	1	1	1	1	2	1	1	0	2	0
Not Stated	8	1	1	0	0	0	0	0	0	0	0	0	0	6
Male	126	2	13	9	1	13	6	11	8	11	10	9	30	3
15-19	4	0	1	1	0	1	0	1	0	0	0	0	0	0
20-24	7	0	0	0	0	0	1	0	3	0	2	0	1	0
25-29	19	0	0	0	0	3	0	2	1	1	2	4	6	0
30-34	14	0	0	0	1	1	0	1	0	0	0	2	9	0
35-39	17	0	1	1	0	2	0	1	1	3	2	3	3	0
40-44	11	0	0	0	0	1	3	1	0	1	1	0	4	0
45-49	10	1	3	1	0	0	1	0	0	3	0	0	1	0
50-54	9	0	0	1	0	1	1	3	1	0	1	0	1	0
55-59	8	0	1	1	0	1	0	1	1	0	1	0	2	0
60-64	7	0	2	0	0	2	0	0	0	2	0	0	1	0
65+	16	1	4	4	0	1	0	1	1	1	1	0	2	0
Not Stated	4	0	1	0	0	0	0	0	0	0	0	0	0	3
Female	181	42	39	15	9	33	8	9	6	5	4	1	7	3
15-19	5	0	0	1	1	3	0	0	0	0	0	0	0	0
20-24	26	0	0	0	0	11	4	4	3	2	2	0	0	0
25-29	24	0	3	1	1	9	1	0	2	2	2	1	2	0
30-34	24	0	6	3	4	4	0	3	0	1	0	0	3	0
35-39	20	1	13	0	2	1	1	0	0	0	0	0	2	0
40-44	6	3	2	1	0	0	0	0	0	0	0	0	0	0
45-49	20	12	5	2	0	1	0	0	0	0	0	0	0	0
50-54	16	8	2	1	0	3	1	1	0	0	0	0	0	0
55-59	10	4	1	3	0	1	0	1	0	0	0	0	0	0
60-64	5	3	2	0	0	0	0	0	0	0	0	0	0	0
65+	21	10	5	3	1	0	1	0	1	0	0	0	0	0
Not Stated	4	1	0	0	0	0	0	0	0	0	0	0	0	3
Nadallaa
Both Sexes	263	15	41	15	19	54	15	28	18	9	9	5	34	1
15-19	5	0	0	0	1	3	0	0	0	0	0	0	0	1
20-24	36	0	0	0	0	15	3	7	8	1	2	0	0	0
25-29	34	0	1	0	1	10	1	6	2	3	2	1	7	0
30-34	25	0	6	3	2	4	3	1	0	0	1	1	4	0
35-39	30	0	10	2	2	5	3	1	2	0	1	1	3	0
40-44	19	3	2	0	3	3	1	0	1	2	0	0	4	0
45-49	15	2	3	2	1	4	1	1	1	0	0	0	0	0
50-54	16	2	2	0	1	1	2	2	1	0	0	1	4	0
55-59	21	3	4	3	2	3	0	0	1	0	1	0	4	0
60-64	16	3	2	1	2	3	0	3	1	0	0	0	1	0
65+	45	2	10	4	4	3	1	7	1	3	2	1	7	0
Not Stated	1	0	1	0	0	0	0	0	0	0	0	0	0	0
Male	110	4	7	5	7	7	9	18	8	7	7	4	27	0
15-19	1	0	0	0	1	0	0	0	0	0	0	0	0	0
20-24	8	0	0	0	0	0	0	2	3	1	2	0	0	0
25-29	13	0	0	0	0	0	1	4	1	1	1	1	4	0
30-34	7	0	0	1	0	0	3	1	0	0	0	1	1	0
35-39	15	0	3	1	1	1	2	1	1	0	1	1	3	0
40-44	13	1	0	0	2	2	1	0	1	2	0	0	4	0
45-49	3	0	0	0	0	1	1	1	0	0	0	0	0	0
50-54	8	0	0	0	0	0	1	1	1	0	0	1	4	0
55-59	10	1	1	1	1	1	0	0	1	0	1	0	3	0
60-64	6	1	1	0	0	1	0	2	0	0	0	0	1	0
65+	26	1	2	2	2	1	0	6	0	3	2	0	7	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	153	11	34	10	12	47	6	10	10	2	2	1	7	1
15-19	4	0	0	0	0	3	0	0	0	0	0	0	0	1
20-24	28	0	0	0	0	15	3	5	5	0	0	0	0	0
25-29	21	0	1	0	1	10	0	2	1	2	1	0	3	0
30-34	18	0	6	2	2	4	0	0	0	0	1	0	3	0
35-39	15	0	7	1	1	4	1	0	1	0	0	0	0	0
40-44	6	2	2	0	1	1	0	0	0	0	0	0	0	0
45-49	12	2	3	2	1	3	0	0	1	0	0	0	0	0
50-54	8	2	2	0	1	1	1	1	0	0	0	0	0	0
55-59	11	2	3	2	1	2	0	0	0	0	0	0	1	0
60-64	10	2	1	1	2	2	0	1	1	0	0	0	0	0
65+	19	1	8	2	2	2	1	1	1	0	0	1	0	0
Not Stated	1	0	1	0	0	0	0	0	0	0	0	0	0	0
Gadhdhoo
Both Sexes	703	43	85	82	51	130	50	68	27	34	17	14	96	6
15-19	14	0	2	1	2	2	2	0	0	0	0	0	0	5
20-24	44	0	0	0	0	14	7	6	5	6	5	1	0	0
25-29	72	0	3	2	1	29	6	10	4	5	2	3	7	0
30-34	81	0	9	8	9	9	6	4	8	3	6	3	16	0
35-39	68	1	12	9	3	9	3	5	1	4	1	3	17	0
40-44	70	6	15	11	5	11	3	6	0	2	1	1	9	0
45-49	77	13	3	10	7	14	7	8	3	2	1	0	9	0
50-54	54	6	8	11	5	7	6	3	3	2	1	0	2	0
55-59	51	2	7	7	4	10	2	6	1	3	0	0	9	0
60-64	48	0	9	10	2	7	2	10	0	1	0	0	7	0
65+	121	15	17	11	13	18	6	10	2	6	0	3	20	0
Not Stated	3	0	0	2	0	0	0	0	0	0	0	0	0	1
Male	338	2	17	22	21	50	26	49	17	23	13	12	83	3
15-19	6	0	2	0	1	1	0	0	0	0	0	0	0	2
20-24	8	0	0	0	0	0	1	0	1	2	3	1	0	0
25-29	23	0	0	0	0	4	3	4	2	1	2	3	4	0
30-34	35	0	0	1	1	1	2	3	5	2	4	2	14	0
35-39	34	0	0	0	2	5	1	4	0	3	1	3	15	0
40-44	33	0	2	3	1	8	3	5	0	1	1	1	8	0
45-49	42	0	0	4	4	5	7	7	3	2	1	0	9	0
50-54	27	0	2	5	1	3	5	3	3	2	1	0	2	0
55-59	29	0	1	2	3	6	2	5	1	3	0	0	6	0
60-64	31	0	3	3	1	6	1	9	0	1	0	0	7	0
65+	68	2	7	3	7	11	1	9	2	6	0	2	18	0
Not Stated	2	0	0	1	0	0	0	0	0	0	0	0	0	1
Female	365	41	68	60	30	80	24	19	10	11	4	2	13	3
15-19	8	0	0	1	1	1	2	0	0	0	0	0	0	3
20-24	36	0	0	0	0	14	6	6	4	4	2	0	0	0
25-29	49	0	3	2	1	25	3	6	2	4	0	0	3	0
30-34	46	0	9	7	8	8	4	1	3	1	2	1	2	0
35-39	34	1	12	9	1	4	2	1	1	1	0	0	2	0
40-44	37	6	13	8	4	3	0	1	0	1	0	0	1	0
45-49	35	13	3	6	3	9	0	1	0	0	0	0	0	0
50-54	27	6	6	6	4	4	1	0	0	0	0	0	0	0
55-59	22	2	6	5	1	4	0	1	0	0	0	0	3	0
60-64	17	0	6	7	1	1	1	1	0	0	0	0	0	0
65+	53	13	10	8	6	7	5	1	0	0	0	1	2	0
Not Stated	1	0	0	1	0	0	0	0	0	0	0	0	0	0
Rathafandhoo
Both Sexes	253	34	56	19	17	42	14	16	9	10	6	6	22	2
15-19	3	0	0	0	0	2	0	0	0	0	0	0	0	1
20-24	15	0	0	0	0	9	3	1	2	0	0	0	0	0
25-29	25	0	2	1	0	10	3	0	0	3	2	2	2	0
30-34	29	0	8	3	1	4	3	1	1	2	0	1	5	0
35-39	20	0	12	2	0	1	1	0	1	0	1	1	1	0
40-44	17	4	1	2	1	3	1	1	1	2	0	0	1	0
45-49	15	3	6	1	2	0	0	0	2	0	0	0	1	0
50-54	18	5	2	2	3	4	0	1	0	0	1	0	0	0
55-59	21	4	6	3	0	3	1	0	0	2	2	0	0	0
60-64	18	5	2	0	3	3	0	2	0	0	0	1	2	0
65+	71	13	17	5	7	3	2	10	2	1	0	1	10	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	113	4	18	7	8	12	7	10	7	9	5	5	20	1
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	1	0	0	0	0	0
25-29	8	0	0	0	0	1	1	0	0	2	1	2	1	0
30-34	14	0	1	1	1	1	1	1	1	2	0	0	5	0
35-39	10	0	2	2	0	1	1	0	1	0	1	1	1	0
40-44	5	0	0	0	0	0	1	0	1	2	0	0	1	0
45-49	5	0	2	0	1	0	0	0	1	0	0	0	1	0
50-54	9	1	0	2	1	3	0	1	0	0	1	0	0	0
55-59	9	0	3	0	0	1	1	0	0	2	2	0	0	0
60-64	10	1	1	0	1	2	0	2	0	0	0	1	2	0
65+	41	2	9	2	4	3	2	6	2	1	0	1	9	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	140	30	38	12	9	30	7	6	2	1	1	1	2	1
15-19	3	0	0	0	0	2	0	0	0	0	0	0	0	1
20-24	14	0	0	0	0	9	3	1	1	0	0	0	0	0
25-29	17	0	2	1	0	9	2	0	0	1	1	0	1	0
30-34	15	0	7	2	0	3	2	0	0	0	0	1	0	0
35-39	10	0	10	0	0	0	0	0	0	0	0	0	0	0
40-44	12	4	1	2	1	3	0	1	0	0	0	0	0	0
45-49	10	3	4	1	1	0	0	0	1	0	0	0	0	0
50-54	9	4	2	0	2	1	0	0	0	0	0	0	0	0
55-59	12	4	3	3	0	2	0	0	0	0	0	0	0	0
60-64	8	4	1	0	2	1	0	0	0	0	0	0	0	0
65+	30	11	8	3	3	0	0	4	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Vaadhoo
Both Sexes	297	13	59	22	27	67	23	21	11	15	4	4	24	7
15-19	6	0	0	0	0	2	2	0	0	0	0	0	0	2
20-24	20	0	0	0	0	9	3	3	3	2	0	0	0	0
25-29	27	0	4	2	1	9	0	1	2	2	2	2	2	0
30-34	27	0	7	1	2	3	4	2	1	2	0	1	4	0
35-39	36	0	11	2	4	7	2	2	2	1	0	0	5	0
40-44	34	4	11	1	2	7	3	3	0	0	1	0	2	0
45-49	28	3	5	1	3	11	0	2	1	2	0	0	0	0
50-54	29	3	4	3	3	5	3	3	1	1	1	0	2	0
55-59	19	0	8	2	1	4	1	1	0	2	0	0	0	0
60-64	24	0	2	5	6	4	1	1	0	0	0	0	5	0
65+	42	3	7	5	5	6	4	3	1	3	0	1	4	0
Not Stated	5	0	0	0	0	0	0	0	0	0	0	0	0	5
Male	129	1	9	3	11	27	16	13	7	11	2	3	20	6
15-19	3	0	0	0	0	0	1	0	0	0	0	0	0	2
20-24	2	0	0	0	0	0	1	0	1	0	0	0	0	0
25-29	7	0	0	0	0	1	0	1	1	1	1	1	1	0
30-34	12	0	0	0	2	0	2	2	0	2	0	1	3	0
35-39	15	0	0	0	1	3	2	2	2	1	0	0	4	0
40-44	15	0	2	0	1	6	2	2	0	0	0	0	2	0
45-49	12	0	1	0	1	7	0	1	1	1	0	0	0	0
50-54	15	0	0	1	2	3	3	1	1	1	1	0	2	0
55-59	6	0	1	0	0	1	1	1	0	2	0	0	0	0
60-64	13	0	1	1	2	3	1	1	0	0	0	0	4	0
65+	25	1	4	1	2	3	3	2	1	3	0	1	4	0
Not Stated	4	0	0	0	0	0	0	0	0	0	0	0	0	4
Female	168	12	50	19	16	40	7	8	4	4	2	1	4	1
15-19	3	0	0	0	0	2	1	0	0	0	0	0	0	0
20-24	18	0	0	0	0	9	2	3	2	2	0	0	0	0
25-29	20	0	4	2	1	8	0	0	1	1	1	1	1	0
30-34	15	0	7	1	0	3	2	0	1	0	0	0	1	0
35-39	21	0	11	2	3	4	0	0	0	0	0	0	1	0
40-44	19	4	9	1	1	1	1	1	0	0	1	0	0	0
45-49	16	3	4	1	2	4	0	1	0	1	0	0	0	0
50-54	14	3	4	2	1	2	0	2	0	0	0	0	0	0
55-59	13	0	7	2	1	3	0	0	0	0	0	0	0	0
60-64	11	0	1	4	4	1	0	0	0	0	0	0	1	0
65+	17	2	3	4	3	3	1	1	0	0	0	0	0	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Fiyoari
Both Sexes	334	16	66	32	19	61	19	36	17	12	9	4	41	2
15-19	2	0	0	0	0	1	0	0	0	0	0	0	0	1
20-24	22	0	0	0	0	9	3	2	3	4	1	0	0	0
25-29	32	0	1	1	0	12	4	4	2	2	1	0	5	0
30-34	35	0	12	4	2	2	2	4	1	1	1	2	4	0
35-39	43	0	10	3	7	7	3	3	3	0	3	0	4	0
40-44	31	1	5	2	1	6	1	4	4	1	1	1	4	0
45-49	43	4	7	9	3	8	1	3	1	3	0	0	4	0
50-54	21	1	6	3	1	4	0	2	1	0	0	0	3	0
55-59	22	1	8	2	0	3	0	4	0	0	1	0	3	0
60-64	24	4	6	1	1	2	2	2	1	0	1	0	4	0
65+	57	4	11	7	4	7	3	8	1	1	0	1	10	0
Not Stated	2	1	0	0	0	0	0	0	0	0	0	0	0	1
Male	144	2	10	7	8	19	7	22	11	8	7	4	37	2
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	4	0	0	0	0	0	1	1	0	1	1	0	0	0
25-29	7	0	0	0	0	2	1	0	1	1	0	0	2	0
30-34	12	0	1	0	0	0	1	2	1	1	0	2	4	0
35-39	17	0	2	0	3	2	1	1	2	0	3	0	3	0
40-44	18	0	0	1	1	2	0	3	4	1	1	1	4	0
45-49	17	0	0	3	1	3	0	3	0	3	0	0	4	0
50-54	11	1	0	0	1	4	0	1	1	0	0	0	3	0
55-59	10	0	2	0	0	1	0	3	0	0	1	0	3	0
60-64	14	1	2	1	0	1	1	2	1	0	1	0	4	0
65+	32	0	3	2	2	4	2	6	1	1	0	1	10	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	190	14	56	25	11	42	12	14	6	4	2	0	4	0
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	18	0	0	0	0	9	2	1	3	3	0	0	0	0
25-29	25	0	1	1	0	10	3	4	1	1	1	0	3	0
30-34	23	0	11	4	2	2	1	2	0	0	1	0	0	0
35-39	26	0	8	3	4	5	2	2	1	0	0	0	1	0
40-44	13	1	5	1	0	4	1	1	0	0	0	0	0	0
45-49	26	4	7	6	2	5	1	0	1	0	0	0	0	0
50-54	10	0	6	3	0	0	0	1	0	0	0	0	0	0
55-59	12	1	6	2	0	2	0	1	0	0	0	0	0	0
60-64	10	3	4	0	1	1	1	0	0	0	0	0	0	0
65+	25	4	8	5	2	3	1	2	0	0	0	0	0	0
Not Stated	1	1	0	0	0	0	0	0	0	0	0	0	0	0
Faresmaathoda
Both Sexes	437	46	88	36	35	70	20	36	23	10	10	3	57	3
15-19	2	0	0	0	0	2	0	0	0	0	0	0	0	0
20-24	42	0	0	0	0	17	5	4	8	4	4	0	0	0
25-29	52	0	1	1	1	21	3	4	6	2	0	2	11	0
30-34	49	0	19	5	1	5	2	4	1	1	2	0	9	0
35-39	55	1	26	6	1	4	4	4	0	2	0	1	6	0
40-44	39	10	5	6	6	2	3	0	2	0	3	0	2	0
45-49	45	8	8	6	6	3	1	4	3	1	0	0	5	0
50-54	23	7	3	1	5	3	1	3	0	0	0	0	0	0
55-59	29	8	5	4	1	4	0	1	2	0	0	0	4	0
60-64	27	1	5	4	3	5	0	3	0	0	0	0	6	0
65+	71	11	16	3	11	4	1	9	1	0	1	0	14	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Male	206	6	23	15	23	23	10	25	13	6	8	2	49	3
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	12	0	0	0	0	2	2	0	2	3	3	0	0	0
25-29	19	0	0	0	1	3	0	1	2	1	0	1	10	0
30-34	22	0	4	1	0	2	1	3	1	0	1	0	9	0
35-39	23	0	3	5	0	1	3	4	0	1	0	1	5	0
40-44	20	0	1	2	5	2	3	0	2	0	3	0	2	0
45-49	25	2	4	2	2	2	1	3	3	1	0	0	5	0
50-54	10	1	1	0	4	1	0	3	0	0	0	0	0	0
55-59	15	2	1	2	0	3	0	1	2	0	0	0	4	0
60-64	15	0	0	2	3	4	0	3	0	0	0	0	3	0
65+	42	1	9	1	8	3	0	7	1	0	1	0	11	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Female	231	40	65	21	12	47	10	11	10	4	2	1	8	0
15-19	2	0	0	0	0	2	0	0	0	0	0	0	0	0
20-24	30	0	0	0	0	15	3	4	6	1	1	0	0	0
25-29	33	0	1	1	0	18	3	3	4	1	0	1	1	0
30-34	27	0	15	4	1	3	1	1	0	1	1	0	0	0
35-39	32	1	23	1	1	3	1	0	0	1	0	0	1	0
40-44	19	10	4	4	1	0	0	0	0	0	0	0	0	0
45-49	20	6	4	4	4	1	0	1	0	0	0	0	0	0
50-54	13	6	2	1	1	2	1	0	0	0	0	0	0	0
55-59	14	6	4	2	1	1	0	0	0	0	0	0	0	0
60-64	12	1	5	2	0	1	0	0	0	0	0	0	3	0
65+	29	10	7	2	3	1	1	2	0	0	0	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Thinadhoo
Both Sexes	2,017	156	297	123	102	324	118	173	111	95	97	63	285	73
15-19	54	0	3	11	7	19	9	1	0	0	0	0	0	4
20-24	166	0	0	0	0	28	23	32	39	16	24	4	0	0
25-29	254	0	3	1	1	60	13	18	18	25	34	27	54	0
30-34	267	0	45	13	12	35	17	22	11	14	15	19	64	0
35-39	234	1	75	21	12	37	11	13	11	5	11	2	35	0
40-44	179	28	30	17	14	28	8	14	9	7	2	3	19	0
45-49	194	22	32	24	13	40	6	18	7	5	2	4	21	0
50-54	133	28	23	6	9	20	6	10	3	9	3	1	15	0
55-59	112	20	20	10	9	15	7	11	4	1	3	1	11	0
60-64	79	15	14	3	6	9	7	5	3	3	1	1	12	0
65+	274	42	51	17	19	33	11	28	6	10	2	1	54	0
Not Stated	71	0	1	0	0	0	0	1	0	0	0	0	0	69
Male	926	19	47	40	45	113	59	106	57	62	64	43	224	47
15-19	23	0	2	7	4	1	6	1	0	0	0	0	0	2
20-24	43	0	0	0	0	2	1	8	11	6	13	2	0	0
25-29	102	0	0	0	0	5	1	4	8	9	20	15	40	0
30-34	123	0	1	3	1	12	10	12	5	9	9	13	48	0
35-39	84	0	4	1	1	13	9	7	8	3	9	2	27	0
40-44	88	4	3	6	7	12	5	13	8	7	2	3	18	0
45-49	95	1	4	7	5	23	5	16	6	5	2	4	17	0
50-54	68	1	5	2	5	11	4	9	3	9	3	1	15	0
55-59	55	0	4	5	6	7	5	11	2	1	3	1	10	0
60-64	46	2	5	2	4	5	6	4	2	3	1	1	11	0
65+	153	11	19	7	12	22	7	20	4	10	2	1	38	0
Not Stated	46	0	0	0	0	0	0	1	0	0	0	0	0	45
Female	1,091	137	250	83	57	211	59	67	54	33	33	20	61	26
15-19	31	0	1	4	3	18	3	0	0	0	0	0	0	2
20-24	123	0	0	0	0	26	22	24	28	10	11	2	0	0
25-29	152	0	3	1	1	55	12	14	10	16	14	12	14	0
30-34	144	0	44	10	11	23	7	10	6	5	6	6	16	0
35-39	150	1	71	20	11	24	2	6	3	2	2	0	8	0
40-44	91	24	27	11	7	16	3	1	1	0	0	0	1	0
45-49	99	21	28	17	8	17	1	2	1	0	0	0	4	0
50-54	65	27	18	4	4	9	2	1	0	0	0	0	0	0
55-59	57	20	16	5	3	8	2	0	2	0	0	0	1	0
60-64	33	13	9	1	2	4	1	1	1	0	0	0	1	0
65+	121	31	32	10	7	11	4	8	2	0	0	0	16	0
Not Stated	25	0	1	0	0	0	0	0	0	0	0	0	0	24
Industrial and Other Islands
Both Sexes	9	0	1	0	1	0	0	1	1	1	0	0	4	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	1	0	0	0	0	0	0	0	0	1	0	0	0	0
30-34	3	0	1	0	0	0	0	1	1	0	0	0	0	0
35-39	5	0	0	0	1	0	0	0	0	0	0	0	4	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
Male	9	0	1	0	1	0	0	1	1	1	0	0	4	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	1	0	0	0	0	0	0	0	0	1	0	0	0	0
30-34	3	0	1	0	0	0	0	1	1	0	0	0	0	0
35-39	5	0	0	0	1	0	0	0	0	0	0	0	4	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
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