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)
North Huvadhu Atoll (GA)
Both Sexes	3,688	284	582	273	218	617	227	407	170	179	128	76	477	50
Kolamaafushi	494	59	78	29	26	83	25	49	18	20	15	15	61	16
Viligili	850	52	142	80	58	122	48	95	44	39	27	16	122	5
Maamendhoo	438	33	65	37	33	87	30	39	19	22	15	8	39	11
Nilandhoo	223	26	38	14	8	39	11	24	5	14	7	3	31	3
Dhaandhoo	497	37	85	32	34	88	33	58	20	14	21	11	62	2
Dhevvadhoo	260	25	48	28	7	31	17	28	14	20	7	5	29	1
Kodey	105	7	12	7	9	21	3	14	3	7	1	1	19	1
Dhiyadhoo	46	4	13	4	5	6	2	5	2	2	0	0	3	0
Gemanafushi	439	28	68	31	23	95	36	56	18	25	13	3	37	6
Kanduhulhudhoo	196	12	32	9	13	33	15	30	14	6	10	5	16	1
Industrial and Other Islands	140	1	1	2	2	12	7	9	13	10	12	9	58	4
Male	1,759	36	123	85	90	211	124	273	118	122	81	58	403	35
Kolamaafushi	225	7	21	13	16	27	13	34	6	12	8	11	49	8
Viligili	372	15	30	33	25	42	22	43	26	24	11	12	86	3
Maamendhoo	205	6	12	14	15	30	17	25	14	17	7	5	33	10
Nilandhoo	106	2	12	2	5	9	6	18	5	9	6	3	26	3
Dhaandhoo	223	3	22	6	8	30	15	38	16	9	13	7	54	2
Dhevvadhoo	122	1	6	6	0	17	10	17	12	16	6	2	28	1
Kodey	46	0	1	1	2	3	1	10	2	5	1	1	19	0
Dhiyadhoo	19	0	3	1	3	3	0	4	1	1	0	0	3	0
Gemanafushi	210	0	11	5	10	30	25	52	12	14	10	3	35	3
Kanduhulhudhoo	92	1	4	2	4	8	8	23	12	5	7	5	12	1
Industrial and Other Islands	139	1	1	2	2	12	7	9	12	10	12	9	58	4
Female	1,929	248	459	188	128	406	103	134	52	57	47	18	74	15
Kolamaafushi	269	52	57	16	10	56	12	15	12	8	7	4	12	8
Viligili	478	37	112	47	33	80	26	52	18	15	16	4	36	2
Maamendhoo	233	27	53	23	18	57	13	14	5	5	8	3	6	1
Nilandhoo	117	24	26	12	3	30	5	6	0	5	1	0	5	0
Dhaandhoo	274	34	63	26	26	58	18	20	4	5	8	4	8	0
Dhevvadhoo	138	24	42	22	7	14	7	11	2	4	1	3	1	0
Kodey	59	7	11	6	7	18	2	4	1	2	0	0	0	1
Dhiyadhoo	27	4	10	3	2	3	2	1	1	1	0	0	0	0
Gemanafushi	229	28	57	26	13	65	11	4	6	11	3	0	2	3
Kanduhulhudhoo	104	11	28	7	9	25	7	7	2	1	3	0	4	0
Industrial and Other Islands	1	0	0	0	0	0	0	0	1	0	0	0	0	0
North Huvadhu Atoll (GA)
Both Sexes	3,688	284	582	273	218	617	227	407	170	179	128	76	477	50
15-19	130	0	11	20	24	41	12	9	0	0	0	0	0	13
20-24	311	0	0	0	0	69	49	63	37	40	38	11	4	0
25-29	472	0	11	3	12	154	41	35	35	31	37	26	87	0
30-34	460	0	76	35	24	73	22	51	23	25	26	16	89	0
35-39	393	4	106	48	20	42	22	37	21	14	9	5	65	0
40-44	379	65	74	36	20	47	23	36	13	22	3	4	36	0
45-49	369	57	56	29	37	52	19	42	17	11	6	7	36	0
50-54	267	34	56	30	15	37	15	27	8	7	4	2	32	0
55-59	202	37	34	22	18	18	4	17	5	12	2	2	31	0
60-64	205	31	48	15	14	21	8	32	3	4	0	1	28	0
65+	459	55	110	35	33	62	12	58	8	13	3	1	69	0
Not Stated	41	1	0	0	1	1	0	0	0	0	0	1	0	37
Male	1,759	36	123	85	90	211	124	273	118	122	81	58	403	35
15-19	58	0	5	12	14	6	5	4	0	0	0	0	0	12
20-24	97	0	0	0	0	9	14	12	13	17	21	8	3	0
25-29	177	0	0	0	1	14	16	15	19	13	18	15	66	0
30-34	211	0	4	3	4	18	8	33	18	18	19	13	73	0
35-39	187	0	8	7	8	17	15	33	17	13	6	4	59	0
40-44	178	2	17	10	4	29	20	27	13	19	3	4	30	0
45-49	213	6	13	8	18	38	18	39	16	11	5	7	34	0
50-54	138	2	15	13	7	21	10	22	7	7	4	2	28	0
55-59	100	3	7	9	7	12	3	12	5	11	2	2	27	0
60-64	107	5	13	7	9	9	6	27	2	4	0	1	24	0
65+	268	18	41	16	17	38	9	49	8	9	3	1	59	0
Not Stated	25	0	0	0	1	0	0	0	0	0	0	1	0	23
Female	1,929	248	459	188	128	406	103	134	52	57	47	18	74	15
15-19	72	0	6	8	10	35	7	5	0	0	0	0	0	1
20-24	214	0	0	0	0	60	35	51	24	23	17	3	1	0
25-29	295	0	11	3	11	140	25	20	16	18	19	11	21	0
30-34	249	0	72	32	20	55	14	18	5	7	7	3	16	0
35-39	206	4	98	41	12	25	7	4	4	1	3	1	6	0
40-44	201	63	57	26	16	18	3	9	0	3	0	0	6	0
45-49	156	51	43	21	19	14	1	3	1	0	1	0	2	0
50-54	129	32	41	17	8	16	5	5	1	0	0	0	4	0
55-59	102	34	27	13	11	6	1	5	0	1	0	0	4	0
60-64	98	26	35	8	5	12	2	5	1	0	0	0	4	0
65+	191	37	69	19	16	24	3	9	0	4	0	0	10	0
Not Stated	16	1	0	0	0	1	0	0	0	0	0	0	0	14
Kolamaafushi
Both Sexes	494	59	78	29	26	83	25	49	18	20	15	15	61	16
15-19	21	0	4	3	5	7	1	1	0	0	0	0	0	0
20-24	33	0	0	0	0	9	2	10	4	3	3	2	0	0
25-29	61	0	1	0	2	20	7	4	6	3	4	4	10	0
30-34	60	0	10	3	3	8	1	8	1	5	3	5	13	0
35-39	50	0	16	2	3	6	5	3	2	3	2	2	6	0
40-44	52	12	13	3	1	5	3	4	1	1	1	1	7	0
45-49	64	15	10	7	6	4	3	8	2	1	0	1	7	0
50-54	31	5	7	4	1	5	2	2	1	0	1	0	3	0
55-59	28	9	2	1	2	4	0	6	0	1	0	0	3	0
60-64	24	8	2	3	2	5	0	0	1	1	0	0	2	0
65+	53	10	13	3	0	10	1	3	0	2	1	0	10	0
Not Stated	17	0	0	0	1	0	0	0	0	0	0	0	0	16
Male	225	7	21	13	16	27	13	34	6	12	8	11	49	8
15-19	12	0	2	2	4	2	1	1	0	0	0	0	0	0
20-24	10	0	0	0	0	2	0	4	1	0	1	2	0	0
25-29	16	0	0	0	0	1	1	1	1	1	2	2	7	0
30-34	29	0	1	1	2	2	0	4	0	3	2	4	10	0
35-39	22	0	1	0	2	2	3	3	1	3	0	1	6	0
40-44	23	0	5	0	0	2	2	3	1	1	1	1	7	0
45-49	35	1	3	3	5	3	3	8	1	1	0	1	6	0
50-54	15	0	0	2	1	5	2	2	1	0	1	0	1	0
55-59	14	0	2	1	0	2	0	5	0	1	0	0	3	0
60-64	10	2	1	2	1	2	0	0	0	1	0	0	1	0
65+	30	4	6	2	0	4	1	3	0	1	1	0	8	0
Not Stated	9	0	0	0	1	0	0	0	0	0	0	0	0	8
Female	269	52	57	16	10	56	12	15	12	8	7	4	12	8
15-19	9	0	2	1	1	5	0	0	0	0	0	0	0	0
20-24	23	0	0	0	0	7	2	6	3	3	2	0	0	0
25-29	45	0	1	0	2	19	6	3	5	2	2	2	3	0
30-34	31	0	9	2	1	6	1	4	1	2	1	1	3	0
35-39	28	0	15	2	1	4	2	0	1	0	2	1	0	0
40-44	29	12	8	3	1	3	1	1	0	0	0	0	0	0
45-49	29	14	7	4	1	1	0	0	1	0	0	0	1	0
50-54	16	5	7	2	0	0	0	0	0	0	0	0	2	0
55-59	14	9	0	0	2	2	0	1	0	0	0	0	0	0
60-64	14	6	1	1	1	3	0	0	1	0	0	0	1	0
65+	23	6	7	1	0	6	0	0	0	1	0	0	2	0
Not Stated	8	0	0	0	0	0	0	0	0	0	0	0	0	8
Viligili
Both Sexes	850	52	142	80	58	122	48	95	44	39	27	16	122	5
15-19	36	0	1	8	5	12	6	3	0	0	0	0	0	1
20-24	70	0	0	0	0	5	12	17	14	9	9	2	2	0
25-29	95	0	1	1	4	24	6	10	4	10	9	4	22	0
30-34	103	0	13	12	6	16	5	11	8	6	3	4	19	0
35-39	83	0	23	7	4	6	4	6	6	4	2	1	20	0
40-44	86	10	21	8	7	7	2	9	2	3	1	2	14	0
45-49	67	8	14	7	7	9	3	8	2	0	1	1	7	0
50-54	79	13	12	8	3	14	4	12	3	2	1	0	7	0
55-59	64	8	16	8	6	4	4	2	2	1	0	1	12	0
60-64	45	5	11	3	6	4	1	8	1	1	0	0	5	0
65+	116	7	30	18	10	21	1	9	2	3	1	0	14	0
Not Stated	6	1	0	0	0	0	0	0	0	0	0	1	0	4
Male	372	15	30	33	25	42	22	43	26	24	11	12	86	3
15-19	15	0	0	5	2	4	3	0	0	0	0	0	0	1
20-24	18	0	0	0	0	0	3	2	5	4	2	1	1	0
25-29	28	0	0	0	0	2	3	3	0	4	1	2	13	0
30-34	35	0	0	2	1	2	1	4	5	4	2	3	11	0
35-39	39	0	2	2	1	2	1	4	4	4	2	1	16	0
40-44	37	2	4	2	3	4	1	4	2	3	1	2	9	0
45-49	38	2	5	2	2	6	3	7	2	0	1	1	7	0
50-54	40	2	4	4	2	5	2	9	3	2	1	0	6	0
55-59	29	2	2	4	4	2	3	0	2	1	0	1	8	0
60-64	21	2	2	1	3	1	1	5	1	1	0	0	4	0
65+	69	5	11	11	7	14	1	5	2	1	1	0	11	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	1	0	2
Female	478	37	112	47	33	80	26	52	18	15	16	4	36	2
15-19	21	0	1	3	3	8	3	3	0	0	0	0	0	0
20-24	52	0	0	0	0	5	9	15	9	5	7	1	1	0
25-29	67	0	1	1	4	22	3	7	4	6	8	2	9	0
30-34	68	0	13	10	5	14	4	7	3	2	1	1	8	0
35-39	44	0	21	5	3	4	3	2	2	0	0	0	4	0
40-44	49	8	17	6	4	3	1	5	0	0	0	0	5	0
45-49	29	6	9	5	5	3	0	1	0	0	0	0	0	0
50-54	39	11	8	4	1	9	2	3	0	0	0	0	1	0
55-59	35	6	14	4	2	2	1	2	0	0	0	0	4	0
60-64	24	3	9	2	3	3	0	3	0	0	0	0	1	0
65+	47	2	19	7	3	7	0	4	0	2	0	0	3	0
Not Stated	3	1	0	0	0	0	0	0	0	0	0	0	0	2
Maamendhoo
Both Sexes	438	33	65	37	33	87	30	39	19	22	15	8	39	11
15-19	24	0	2	3	6	7	1	1	0	0	0	0	0	4
20-24	41	0	0	0	0	14	8	7	5	5	1	0	1	0
25-29	65	0	3	1	1	20	10	3	7	2	8	4	6	0
30-34	43	0	7	3	1	11	1	5	5	1	5	1	3	0
35-39	43	0	10	7	4	9	0	4	1	1	1	1	5	0
40-44	45	8	8	7	2	8	4	2	1	4	0	0	1	0
45-49	43	5	6	5	8	9	3	2	0	1	0	0	4	0
50-54	25	5	8	1	1	2	2	3	0	1	0	0	2	0
55-59	23	1	4	2	3	4	0	0	0	4	0	1	4	0
60-64	29	3	8	5	0	0	1	5	0	1	0	0	6	0
65+	50	11	9	3	7	3	0	7	0	2	0	1	7	0
Not Stated	7	0	0	0	0	0	0	0	0	0	0	0	0	7
Male	205	6	12	14	15	30	17	25	14	17	7	5	33	10
15-19	10	0	0	3	4	0	0	0	0	0	0	0	0	3
20-24	16	0	0	0	0	2	5	0	4	3	1	0	1	0
25-29	20	0	0	0	0	2	4	1	4	1	3	1	4	0
30-34	18	0	0	0	0	2	0	4	4	1	3	1	3	0
35-39	16	0	0	2	0	2	0	4	1	1	0	1	5	0
40-44	25	0	3	3	1	8	4	1	1	3	0	0	1	0
45-49	23	1	1	1	5	6	2	2	0	1	0	0	4	0
50-54	10	0	3	1	0	2	1	1	0	1	0	0	1	0
55-59	14	0	0	1	0	4	0	0	0	4	0	1	4	0
60-64	18	0	3	3	0	0	1	5	0	1	0	0	5	0
65+	28	5	2	0	5	2	0	7	0	1	0	1	5	0
Not Stated	7	0	0	0	0	0	0	0	0	0	0	0	0	7
Female	233	27	53	23	18	57	13	14	5	5	8	3	6	1
15-19	14	0	2	0	2	7	1	1	0	0	0	0	0	1
20-24	25	0	0	0	0	12	3	7	1	2	0	0	0	0
25-29	45	0	3	1	1	18	6	2	3	1	5	3	2	0
30-34	25	0	7	3	1	9	1	1	1	0	2	0	0	0
35-39	27	0	10	5	4	7	0	0	0	0	1	0	0	0
40-44	20	8	5	4	1	0	0	1	0	1	0	0	0	0
45-49	20	4	5	4	3	3	1	0	0	0	0	0	0	0
50-54	15	5	5	0	1	0	1	2	0	0	0	0	1	0
55-59	9	1	4	1	3	0	0	0	0	0	0	0	0	0
60-64	11	3	5	2	0	0	0	0	0	0	0	0	1	0
65+	22	6	7	3	2	1	0	0	0	1	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Nilandhoo
Both Sexes	223	26	38	14	8	39	11	24	5	14	7	3	31	3
15-19	4	0	1	0	0	3	0	0	0	0	0	0	0	0
20-24	17	0	0	0	0	7	4	3	0	3	0	0	0	0
25-29	38	0	1	0	1	15	2	1	3	6	1	3	5	0
30-34	25	0	3	3	2	3	1	1	1	0	4	0	7	0
35-39	25	0	7	4	1	3	1	1	0	0	1	0	7	0
40-44	21	7	3	3	0	2	0	3	0	2	0	0	1	0
45-49	24	10	3	1	2	2	0	2	1	1	1	0	1	0
50-54	18	1	4	2	0	2	1	3	0	1	0	0	4	0
55-59	4	2	0	0	0	0	0	1	0	1	0	0	0	0
60-64	17	3	5	0	1	0	1	4	0	0	0	0	3	0
65+	27	3	11	1	1	2	1	5	0	0	0	0	3	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Male	106	2	12	2	5	9	6	18	5	9	6	3	26	3
15-19	1	0	1	0	0	0	0	0	0	0	0	0	0	0
20-24	3	0	0	0	0	0	1	0	0	2	0	0	0	0
25-29	15	0	0	0	0	2	1	1	3	2	1	3	2	0
30-34	13	0	0	0	1	1	1	1	1	0	3	0	5	0
35-39	13	0	1	0	1	1	1	1	0	0	1	0	7	0
40-44	7	0	1	0	0	1	0	2	0	2	0	0	1	0
45-49	11	1	0	1	1	2	0	2	1	1	1	0	1	0
50-54	13	0	2	1	0	1	1	3	0	1	0	0	4	0
55-59	1	0	0	0	0	0	0	0	0	1	0	0	0	0
60-64	11	1	2	0	1	0	0	4	0	0	0	0	3	0
65+	15	0	5	0	1	1	1	4	0	0	0	0	3	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Female	117	24	26	12	3	30	5	6	0	5	1	0	5	0
15-19	3	0	0	0	0	3	0	0	0	0	0	0	0	0
20-24	14	0	0	0	0	7	3	3	0	1	0	0	0	0
25-29	23	0	1	0	1	13	1	0	0	4	0	0	3	0
30-34	12	0	3	3	1	2	0	0	0	0	1	0	2	0
35-39	12	0	6	4	0	2	0	0	0	0	0	0	0	0
40-44	14	7	2	3	0	1	0	1	0	0	0	0	0	0
45-49	13	9	3	0	1	0	0	0	0	0	0	0	0	0
50-54	5	1	2	1	0	1	0	0	0	0	0	0	0	0
55-59	3	2	0	0	0	0	0	1	0	0	0	0	0	0
60-64	6	2	3	0	0	0	1	0	0	0	0	0	0	0
65+	12	3	6	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
Dhaandhoo
Both Sexes	497	37	85	32	34	88	33	58	20	14	21	11	62	2
15-19	20	0	3	3	5	4	2	1	0	0	0	0	0	2
20-24	45	0	0	0	0	9	7	11	4	2	9	3	0	0
25-29	55	0	0	0	3	22	4	7	1	3	4	2	9	0
30-34	60	0	13	2	4	11	4	3	2	1	3	3	14	0
35-39	55	0	13	8	2	3	5	8	3	2	1	0	10	0
40-44	53	5	10	8	6	11	1	3	0	3	0	1	5	0
45-49	56	7	7	1	7	11	3	10	4	1	1	0	4	0
50-54	41	3	11	4	2	5	3	2	2	1	2	2	4	0
55-59	13	5	1	3	1	0	0	1	1	0	0	0	1	0
60-64	29	6	7	1	1	3	2	4	0	0	0	0	5	0
65+	70	11	20	2	3	9	2	8	3	1	1	0	10	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	223	3	22	6	8	30	15	38	16	9	13	7	54	2
15-19	7	0	2	0	3	0	0	0	0	0	0	0	0	2
20-24	9	0	0	0	0	0	1	1	1	0	5	1	0	0
25-29	19	0	0	0	0	3	0	3	1	2	2	1	7	0
30-34	25	0	2	0	0	3	1	2	2	0	1	2	12	0
35-39	26	0	2	0	0	1	4	6	2	2	1	0	8	0
40-44	20	0	1	2	0	5	1	3	0	2	0	1	5	0
45-49	35	1	3	0	1	8	3	9	4	1	1	0	4	0
50-54	20	0	1	1	1	2	2	2	2	1	2	2	4	0
55-59	4	0	0	1	0	0	0	1	1	0	0	0	1	0
60-64	16	0	3	1	1	1	1	4	0	0	0	0	5	0
65+	42	2	8	1	2	7	2	7	3	1	1	0	8	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	274	34	63	26	26	58	18	20	4	5	8	4	8	0
15-19	13	0	1	3	2	4	2	1	0	0	0	0	0	0
20-24	36	0	0	0	0	9	6	10	3	2	4	2	0	0
25-29	36	0	0	0	3	19	4	4	0	1	2	1	2	0
30-34	35	0	11	2	4	8	3	1	0	1	2	1	2	0
35-39	29	0	11	8	2	2	1	2	1	0	0	0	2	0
40-44	33	5	9	6	6	6	0	0	0	1	0	0	0	0
45-49	21	6	4	1	6	3	0	1	0	0	0	0	0	0
50-54	21	3	10	3	1	3	1	0	0	0	0	0	0	0
55-59	9	5	1	2	1	0	0	0	0	0	0	0	0	0
60-64	13	6	4	0	0	2	1	0	0	0	0	0	0	0
65+	28	9	12	1	1	2	0	1	0	0	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dhevvadhoo
Both Sexes	260	25	48	28	7	31	17	28	14	20	7	5	29	1
15-19	4	0	0	0	1	0	2	0	0	0	0	0	0	1
20-24	16	0	0	0	0	2	3	5	2	3	1	0	0	0
25-29	23	0	0	0	0	8	2	3	2	1	1	4	2	0
30-34	19	0	3	4	3	1	1	0	0	1	2	1	3	0
35-39	33	2	15	4	0	4	1	2	0	1	1	0	3	0
40-44	29	7	3	2	0	5	3	2	4	2	0	0	1	0
45-49	36	5	8	3	0	4	1	2	3	4	1	0	5	0
50-54	14	1	1	5	0	0	1	2	0	1	0	0	3	0
55-59	21	3	2	4	0	2	0	2	1	3	1	0	3	0
60-64	9	2	2	1	0	0	2	1	0	0	0	0	1	0
65+	56	5	14	5	3	5	1	9	2	4	0	0	8	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	122	1	6	6	0	17	10	17	12	16	6	2	28	1
15-19	2	0	0	0	0	0	1	0	0	0	0	0	0	1
20-24	4	0	0	0	0	0	0	0	1	2	1	0	0	0
25-29	7	0	0	0	0	1	1	0	1	0	1	1	2	0
30-34	8	0	0	0	0	1	0	0	0	1	2	1	3	0
35-39	11	0	0	0	0	3	1	2	0	1	1	0	3	0
40-44	14	0	0	1	0	3	3	1	4	1	0	0	1	0
45-49	17	0	0	0	0	4	1	1	3	4	0	0	4	0
50-54	9	0	0	3	0	0	0	2	0	1	0	0	3	0
55-59	13	0	2	0	0	2	0	2	1	2	1	0	3	0
60-64	4	0	0	0	0	0	2	1	0	0	0	0	1	0
65+	33	1	4	2	0	3	1	8	2	4	0	0	8	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	138	24	42	22	7	14	7	11	2	4	1	3	1	0
15-19	2	0	0	0	1	0	1	0	0	0	0	0	0	0
20-24	12	0	0	0	0	2	3	5	1	1	0	0	0	0
25-29	16	0	0	0	0	7	1	3	1	1	0	3	0	0
30-34	11	0	3	4	3	0	1	0	0	0	0	0	0	0
35-39	22	2	15	4	0	1	0	0	0	0	0	0	0	0
40-44	15	7	3	1	0	2	0	1	0	1	0	0	0	0
45-49	19	5	8	3	0	0	0	1	0	0	1	0	1	0
50-54	5	1	1	2	0	0	1	0	0	0	0	0	0	0
55-59	8	3	0	4	0	0	0	0	0	1	0	0	0	0
60-64	5	2	2	1	0	0	0	0	0	0	0	0	0	0
65+	23	4	10	3	3	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
Kodey
Both Sexes	105	7	12	7	9	21	3	14	3	7	1	1	19	1
15-19	2	0	0	0	0	1	0	1	0	0	0	0	0	0
20-24	7	0	0	0	0	4	0	1	0	2	0	0	0	0
25-29	9	0	0	1	0	7	0	0	0	0	0	0	1	0
30-34	14	0	1	1	2	2	2	3	0	1	1	0	1	0
35-39	11	1	2	0	0	2	1	2	1	1	0	0	1	0
40-44	7	0	3	2	0	0	0	0	0	1	0	0	1	0
45-49	5	1	0	0	0	1	0	0	1	0	0	1	1	0
50-54	11	1	1	2	1	3	0	0	1	0	0	0	2	0
55-59	7	1	1	0	0	0	0	1	0	1	0	0	3	0
60-64	11	2	3	0	2	0	0	2	0	1	0	0	1	0
65+	20	1	1	1	4	1	0	4	0	0	0	0	8	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	46	0	1	1	2	3	1	10	2	5	1	1	19	0
15-19	1	0	0	0	0	0	0	1	0	0	0	0	0	0
20-24	2	0	0	0	0	1	0	0	0	1	0	0	0	0
25-29	1	0	0	0	0	0	0	0	0	0	0	0	1	0
30-34	4	0	0	0	0	0	0	2	0	0	1	0	1	0
35-39	6	0	0	0	0	0	1	2	1	1	0	0	1	0
40-44	3	0	0	1	0	0	0	0	0	1	0	0	1	0
45-49	3	0	0	0	0	0	0	0	1	0	0	1	1	0
50-54	3	0	0	0	0	1	0	0	0	0	0	0	2	0
55-59	4	0	0	0	0	0	0	0	0	1	0	0	3	0
60-64	6	0	1	0	1	0	0	2	0	1	0	0	1	0
65+	13	0	0	0	1	1	0	3	0	0	0	0	8	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	59	7	11	6	7	18	2	4	1	2	0	0	0	1
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	5	0	0	0	0	3	0	1	0	1	0	0	0	0
25-29	8	0	0	1	0	7	0	0	0	0	0	0	0	0
30-34	10	0	1	1	2	2	2	1	0	1	0	0	0	0
35-39	5	1	2	0	0	2	0	0	0	0	0	0	0	0
40-44	4	0	3	1	0	0	0	0	0	0	0	0	0	0
45-49	2	1	0	0	0	1	0	0	0	0	0	0	0	0
50-54	8	1	1	2	1	2	0	0	1	0	0	0	0	0
55-59	3	1	1	0	0	0	0	1	0	0	0	0	0	0
60-64	5	2	2	0	1	0	0	0	0	0	0	0	0	0
65+	7	1	1	1	3	0	0	1	0	0	0	0	0	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Dhiyadhoo
Both Sexes	46	4	13	4	5	6	2	5	2	2	0	0	3	0
15-19	1	0	0	0	0	1	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	1	0	0	0	0	1	0	0	0	0	0	0	0	0
30-34	8	0	2	0	1	0	0	3	0	1	0	0	1	0
35-39	5	0	4	0	1	0	0	0	0	0	0	0	0	0
40-44	4	3	0	0	0	0	0	1	0	0	0	0	0	0
45-49	3	0	0	0	2	0	0	0	0	1	0	0	0	0
50-54	2	0	2	0	0	0	0	0	0	0	0	0	0	0
55-59	6	0	2	2	1	1	0	0	0	0	0	0	0	0
60-64	8	1	0	2	0	2	0	1	0	0	0	0	2	0
65+	6	0	3	0	0	1	1	0	1	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	19	0	3	1	3	3	0	4	1	1	0	0	3	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	3	0	0	0	0	0	0	2	0	0	0	0	1	0
35-39	1	0	1	0	0	0	0	0	0	0	0	0	0	0
40-44	1	0	0	0	0	0	0	1	0	0	0	0	0	0
45-49	3	0	0	0	2	0	0	0	0	1	0	0	0	0
50-54	1	0	1	0	0	0	0	0	0	0	0	0	0	0
55-59	3	0	0	1	1	1	0	0	0	0	0	0	0	0
60-64	5	0	0	0	0	2	0	1	0	0	0	0	2	0
65+	2	0	1	0	0	0	0	0	1	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	27	4	10	3	2	3	2	1	1	1	0	0	0	0
15-19	1	0	0	0	0	1	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	1	0	0	0	0	1	0	0	0	0	0	0	0	0
30-34	5	0	2	0	1	0	0	1	0	1	0	0	0	0
35-39	4	0	3	0	1	0	0	0	0	0	0	0	0	0
40-44	3	3	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	1	0	1	0	0	0	0	0	0	0	0	0	0	0
55-59	3	0	2	1	0	0	0	0	0	0	0	0	0	0
60-64	3	1	0	2	0	0	0	0	0	0	0	0	0	0
65+	4	0	2	0	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
Gemanafushi
Both Sexes	439	28	68	31	23	95	36	56	18	25	13	3	37	6
15-19	9	0	0	1	2	4	0	1	0	0	0	0	0	1
20-24	41	0	0	0	0	9	7	5	6	9	4	0	1	0
25-29	70	0	5	0	1	30	6	3	6	5	3	2	9	0
30-34	74	0	16	5	2	17	5	13	1	5	2	0	8	0
35-39	51	1	10	14	4	3	2	7	3	2	1	0	4	0
40-44	42	9	7	2	2	5	5	5	1	3	1	0	2	0
45-49	40	5	6	4	3	8	4	6	1	0	1	0	2	0
50-54	24	4	7	3	4	2	2	0	0	0	0	0	2	0
55-59	21	3	5	1	3	3	0	3	0	0	1	0	2	0
60-64	24	1	7	0	1	6	1	5	0	0	0	1	2	0
65+	38	5	5	1	1	8	4	8	0	1	0	0	5	0
Not Stated	5	0	0	0	0	0	0	0	0	0	0	0	0	5
Male	210	0	11	5	10	30	25	52	12	14	10	3	35	3
15-19	4	0	0	1	1	0	0	1	0	0	0	0	0	1
20-24	13	0	0	0	0	1	2	4	1	2	2	0	1	0
25-29	30	0	0	0	1	3	3	3	5	2	2	2	9	0
30-34	39	0	1	0	0	7	4	11	1	5	2	0	8	0
35-39	26	0	0	3	3	2	2	7	3	1	1	0	4	0
40-44	22	0	2	0	0	3	5	5	1	3	1	0	2	0
45-49	22	0	1	1	1	5	4	6	1	0	1	0	2	0
50-54	10	0	3	0	2	1	2	0	0	0	0	0	2	0
55-59	8	0	1	0	0	1	0	3	0	0	1	0	2	0
60-64	11	0	1	0	1	2	1	4	0	0	0	1	1	0
65+	23	0	2	0	1	5	2	8	0	1	0	0	4	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	229	28	57	26	13	65	11	4	6	11	3	0	2	3
15-19	5	0	0	0	1	4	0	0	0	0	0	0	0	0
20-24	28	0	0	0	0	8	5	1	5	7	2	0	0	0
25-29	40	0	5	0	0	27	3	0	1	3	1	0	0	0
30-34	35	0	15	5	2	10	1	2	0	0	0	0	0	0
35-39	25	1	10	11	1	1	0	0	0	1	0	0	0	0
40-44	20	9	5	2	2	2	0	0	0	0	0	0	0	0
45-49	18	5	5	3	2	3	0	0	0	0	0	0	0	0
50-54	14	4	4	3	2	1	0	0	0	0	0	0	0	0
55-59	13	3	4	1	3	2	0	0	0	0	0	0	0	0
60-64	13	1	6	0	0	4	0	1	0	0	0	0	1	0
65+	15	5	3	1	0	3	2	0	0	0	0	0	1	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Kanduhulhudhoo
Both Sexes	196	12	32	9	13	33	15	30	14	6	10	5	16	1
15-19	4	0	0	1	0	2	0	0	0	0	0	0	0	1
20-24	22	0	0	0	0	8	3	4	0	2	4	1	0	0
25-29	26	0	0	0	0	7	3	2	4	0	5	1	4	0
30-34	26	0	8	2	0	4	1	2	2	1	1	1	4	0
35-39	21	0	5	2	1	3	3	2	3	0	0	0	2	0
40-44	28	4	6	1	2	1	4	6	3	0	0	0	1	0
45-49	16	1	2	1	1	1	1	3	1	2	0	2	1	0
50-54	13	1	3	0	3	3	0	3	0	0	0	0	0	0
55-59	10	4	1	1	1	0	0	1	0	1	0	0	1	0
60-64	9	0	3	0	1	1	0	2	1	0	0	0	1	0
65+	20	2	4	1	4	2	0	5	0	0	0	0	2	0
Not Stated	1	0	0	0	0	1	0	0	0	0	0	0	0	0
Male	92	1	4	2	4	8	8	23	12	5	7	5	12	1
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	6	0	0	0	0	1	0	1	0	1	2	1	0	0
25-29	12	0	0	0	0	0	2	1	2	0	4	1	2	0
30-34	9	0	0	0	0	0	0	1	2	1	1	1	3	0
35-39	11	0	0	0	1	1	2	2	3	0	0	0	2	0
40-44	14	0	1	1	0	0	3	6	3	0	0	0	0	0
45-49	11	0	0	0	0	1	1	3	1	2	0	2	1	0
50-54	8	0	1	0	1	3	0	3	0	0	0	0	0	0
55-59	5	0	0	1	1	0	0	1	0	1	0	0	1	0
60-64	5	0	0	0	1	1	0	1	1	0	0	0	1	0
65+	10	1	2	0	0	1	0	4	0	0	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	104	11	28	7	9	25	7	7	2	1	3	0	4	0
15-19	3	0	0	1	0	2	0	0	0	0	0	0	0	0
20-24	16	0	0	0	0	7	3	3	0	1	2	0	0	0
25-29	14	0	0	0	0	7	1	1	2	0	1	0	2	0
30-34	17	0	8	2	0	4	1	1	0	0	0	0	1	0
35-39	10	0	5	2	0	2	1	0	0	0	0	0	0	0
40-44	14	4	5	0	2	1	1	0	0	0	0	0	1	0
45-49	5	1	2	1	1	0	0	0	0	0	0	0	0	0
50-54	5	1	2	0	2	0	0	0	0	0	0	0	0	0
55-59	5	4	1	0	0	0	0	0	0	0	0	0	0	0
60-64	4	0	3	0	0	0	0	1	0	0	0	0	0	0
65+	10	1	2	1	4	1	0	1	0	0	0	0	0	0
Not Stated	1	0	0	0	0	1	0	0	0	0	0	0	0	0
Industrial and Other Islands
Both Sexes	140	1	1	2	2	12	7	9	13	10	12	9	58	4
15-19	5	0	0	1	0	0	0	1	0	0	0	0	0	3
20-24	17	0	0	0	0	2	2	0	1	2	7	3	0	0
25-29	29	0	0	0	0	0	1	2	2	1	2	2	19	0
30-34	28	0	0	0	0	0	1	2	3	3	2	1	16	0
35-39	16	0	1	0	0	3	0	2	2	0	0	1	7	0
40-44	12	0	0	0	0	3	1	1	1	3	0	0	3	0
45-49	15	0	0	0	1	3	1	1	2	0	1	2	4	0
50-54	9	0	0	1	0	1	0	0	1	1	0	0	5	0
55-59	5	1	0	0	1	0	0	0	1	0	0	0	2	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	3	0	0	0	0	0	1	0	0	0	0	0	2	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	139	1	1	2	2	12	7	9	12	10	12	9	58	4
15-19	5	0	0	1	0	0	0	1	0	0	0	0	0	3
20-24	16	0	0	0	0	2	2	0	0	2	7	3	0	0
25-29	29	0	0	0	0	0	1	2	2	1	2	2	19	0
30-34	28	0	0	0	0	0	1	2	3	3	2	1	16	0
35-39	16	0	1	0	0	3	0	2	2	0	0	1	7	0
40-44	12	0	0	0	0	3	1	1	1	3	0	0	3	0
45-49	15	0	0	0	1	3	1	1	2	0	1	2	4	0
50-54	9	0	0	1	0	1	0	0	1	1	0	0	5	0
55-59	5	1	0	0	1	0	0	0	1	0	0	0	2	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	3	0	0	0	0	0	1	0	0	0	0	0	2	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	1	0	0	0	0	0	0	0	1	0	0	0	0	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	1	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