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 Maalhosmadhulu (B)
Both Sexes	4,365	110	240	286	274	567	377	471	302	310	240	205	911	72
Kudarikilu	153	3	8	15	12	24	14	13	14	11	4	8	27	0
Kamadhoo	145	1	12	13	6	31	6	15	8	9	5	7	10	22
Kendhoo	344	11	19	30	26	35	41	31	22	32	20	16	59	2
Kihaadhoo	134	2	4	11	6	22	15	20	12	13	5	0	23	1
Dhonfanu	169	0	1	10	9	30	18	26	11	6	10	5	35	8
Dharavandhoo	324	14	17	12	17	46	28	50	24	33	15	14	53	1
Maalhos	190	2	15	11	24	32	20	15	6	14	16	10	25	0
Eydhafushi	981	33	64	67	65	127	92	89	65	57	44	44	226	8
Thulhaadhoo	808	14	26	39	56	110	76	96	54	64	43	29	176	25
Hithaadhoo	361	9	29	41	28	31	23	42	21	17	24	18	78	0
Fulhadhoo	102	8	15	9	5	18	3	12	4	5	2	2	19	0
Fehendhoo	68	1	8	4	3	12	5	7	10	3	3	2	10	0
Goidhoo	209	11	20	24	14	40	17	27	12	11	8	4	19	2
Resorts	300	1	1	0	2	7	13	20	23	17	35	41	137	3
Industrial and Other Islands	77	0	1	0	1	2	6	8	16	18	6	5	14	0
Male	2,079	10	31	38	57	138	135	232	165	182	157	147	738	49
Kudarikilu	63	0	2	2	1	3	3	9	10	4	4	4	21	0
Kamadhoo	65	0	0	2	2	7	2	7	6	5	4	6	9	15
Kendhoo	153	1	1	4	2	5	11	14	14	22	11	15	52	1
Kihaadhoo	59	0	0	3	0	5	4	7	8	7	5	0	19	1
Dhonfanu	75	0	0	0	0	4	6	15	3	5	7	2	29	4
Dharavandhoo	136	1	2	1	2	9	5	21	8	18	10	13	45	1
Maalhos	84	0	1	1	7	13	10	4	4	9	12	3	20	0
Eydhafushi	392	4	9	10	18	31	35	29	21	20	20	24	166	5
Thulhaadhoo	352	1	6	2	8	25	24	48	26	36	19	15	125	17
Hithaadhoo	159	0	1	3	4	9	7	24	10	7	14	14	66	0
Fulhadhoo	49	2	4	5	2	3	1	8	1	3	2	2	16	0
Fehendhoo	34	0	1	1	1	6	1	5	5	2	2	1	9	0
Goidhoo	90	0	2	4	8	10	8	15	10	9	7	2	13	2
Resorts	291	1	1	0	1	6	12	18	23	17	34	41	134	3
Industrial and Other Islands	77	0	1	0	1	2	6	8	16	18	6	5	14	0
Female	2,286	100	209	248	217	429	242	239	137	128	83	58	173	23
Kudarikilu	90	3	6	13	11	21	11	4	4	7	0	4	6	0
Kamadhoo	80	1	12	11	4	24	4	8	2	4	1	1	1	7
Kendhoo	191	10	18	26	24	30	30	17	8	10	9	1	7	1
Kihaadhoo	75	2	4	8	6	17	11	13	4	6	0	0	4	0
Dhonfanu	94	0	1	10	9	26	12	11	8	1	3	3	6	4
Dharavandhoo	188	13	15	11	15	37	23	29	16	15	5	1	8	0
Maalhos	106	2	14	10	17	19	10	11	2	5	4	7	5	0
Eydhafushi	589	29	55	57	47	96	57	60	44	37	24	20	60	3
Thulhaadhoo	456	13	20	37	48	85	52	48	28	28	24	14	51	8
Hithaadhoo	202	9	28	38	24	22	16	18	11	10	10	4	12	0
Fulhadhoo	53	6	11	4	3	15	2	4	3	2	0	0	3	0
Fehendhoo	34	1	7	3	2	6	4	2	5	1	1	1	1	0
Goidhoo	119	11	18	20	6	30	9	12	2	2	1	2	6	0
Resorts	9	0	0	0	1	1	1	2	0	0	1	0	3	0
Industrial and Other Islands	0	0	0	0	0	0	0	0	0	0	0	0	0	0
South Maalhosmadhulu (B)
Both Sexes	4,365	110	240	286	274	567	377	471	302	310	240	205	911	72
15-19	96	0	8	15	17	26	12	8	0	0	0	0	0	10
20-24	339	0	0	0	0	43	62	63	62	55	31	19	4	0
25-29	557	0	3	3	5	80	47	53	54	46	67	63	136	0
30-34	566	0	14	22	32	53	51	49	45	44	34	38	184	0
35-39	574	1	35	46	42	61	40	48	39	55	40	24	143	0
40-44	525	16	31	51	43	70	52	43	28	31	18	19	123	0
45-49	484	24	28	45	44	73	39	54	27	24	23	12	91	0
50-54	301	15	21	28	25	52	32	32	20	12	9	4	51	0
55-59	185	13	25	19	15	29	10	21	6	12	9	5	21	0
60-64	176	8	19	13	20	23	11	16	10	6	1	5	44	0
65+	500	33	56	44	31	57	21	84	11	25	8	16	114	0
Not Stated	62	0	0	0	0	0	0	0	0	0	0	0	0	62
Male	2,079	10	31	38	57	138	135	232	165	182	157	147	738	49
15-19	52	0	6	6	10	11	6	5	0	0	0	0	0	8
20-24	96	0	0	0	0	2	10	10	22	22	16	10	4	0
25-29	219	0	0	1	0	3	3	13	18	23	35	40	83	0
30-34	270	0	1	0	1	3	8	15	23	23	21	23	152	0
35-39	263	0	2	2	6	14	7	18	19	31	28	21	115	0
40-44	264	1	2	2	5	14	33	29	21	20	17	16	104	0
45-49	252	3	0	1	7	26	20	42	24	19	20	11	79	0
50-54	157	1	2	4	7	19	19	25	15	10	8	3	44	0
55-59	93	0	1	5	4	14	9	13	6	8	8	5	20	0
60-64	96	2	4	2	4	8	8	9	10	4	1	4	40	0
65+	276	3	13	15	13	24	12	53	7	22	3	14	97	0
Not Stated	41	0	0	0	0	0	0	0	0	0	0	0	0	41
Female	2,286	100	209	248	217	429	242	239	137	128	83	58	173	23
15-19	44	0	2	9	7	15	6	3	0	0	0	0	0	2
20-24	243	0	0	0	0	41	52	53	40	33	15	9	0	0
25-29	338	0	3	2	5	77	44	40	36	23	32	23	53	0
30-34	296	0	13	22	31	50	43	34	22	21	13	15	32	0
35-39	311	1	33	44	36	47	33	30	20	24	12	3	28	0
40-44	261	15	29	49	38	56	19	14	7	11	1	3	19	0
45-49	232	21	28	44	37	47	19	12	3	5	3	1	12	0
50-54	144	14	19	24	18	33	13	7	5	2	1	1	7	0
55-59	92	13	24	14	11	15	1	8	0	4	1	0	1	0
60-64	80	6	15	11	16	15	3	7	0	2	0	1	4	0
65+	224	30	43	29	18	33	9	31	4	3	5	2	17	0
Not Stated	21	0	0	0	0	0	0	0	0	0	0	0	0	21
Kudarikilu
Both Sexes	153	3	8	15	12	24	14	13	14	11	4	8	27	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	11	0	0	0	0	3	1	1	2	3	0	1	0	0
25-29	22	0	0	1	0	7	1	2	3	2	1	1	4	0
30-34	21	0	0	1	7	3	2	0	0	3	0	3	2	0
35-39	16	0	3	3	0	2	1	0	2	0	0	1	4	0
40-44	15	0	1	2	1	1	2	0	0	0	1	1	6	0
45-49	10	0	0	3	2	2	1	1	0	0	0	0	1	0
50-54	17	1	1	1	0	1	4	1	4	1	1	0	2	0
55-59	9	1	1	0	0	0	0	1	3	0	1	1	1	0
60-64	14	0	1	2	2	2	1	2	0	1	0	0	3	0
65+	18	1	1	2	0	3	1	5	0	1	0	0	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	63	0	2	2	1	3	3	9	10	4	4	4	21	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	1	0	0	0	0
25-29	6	0	0	0	0	0	0	0	2	1	1	0	2	0
30-34	4	0	0	0	0	0	0	0	0	2	0	1	1	0
35-39	6	0	0	0	0	0	0	0	2	0	0	1	3	0
40-44	8	0	0	0	0	0	1	0	0	0	1	1	5	0
45-49	5	0	0	0	0	2	1	1	0	0	0	0	1	0
50-54	8	0	1	0	0	0	0	1	3	0	1	0	2	0
55-59	6	0	0	0	0	0	0	0	3	0	1	1	1	0
60-64	7	0	0	0	1	0	1	2	0	0	0	0	3	0
65+	12	0	1	2	0	1	0	5	0	0	0	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	90	3	6	13	11	21	11	4	4	7	0	4	6	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	10	0	0	0	0	3	1	1	2	2	0	1	0	0
25-29	16	0	0	1	0	7	1	2	1	1	0	1	2	0
30-34	17	0	0	1	7	3	2	0	0	1	0	2	1	0
35-39	10	0	3	3	0	2	1	0	0	0	0	0	1	0
40-44	7	0	1	2	1	1	1	0	0	0	0	0	1	0
45-49	5	0	0	3	2	0	0	0	0	0	0	0	0	0
50-54	9	1	0	1	0	1	4	0	1	1	0	0	0	0
55-59	3	1	1	0	0	0	0	1	0	0	0	0	0	0
60-64	7	0	1	2	1	2	0	0	0	1	0	0	0	0
65+	6	1	0	0	0	2	1	0	0	1	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Kamadhoo
Both Sexes	145	1	12	13	6	31	6	15	8	9	5	7	10	22
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	10	0	0	0	0	1	1	2	0	4	1	1	0	0
25-29	20	0	0	0	0	10	1	0	2	1	1	3	2	0
30-34	18	0	1	2	0	4	1	1	2	3	1	1	2	0
35-39	14	0	1	3	1	3	1	2	3	0	0	0	0	0
40-44	7	1	1	0	2	0	1	2	0	0	0	0	0	0
45-49	7	0	0	0	2	2	0	2	0	0	1	0	0	0
50-54	10	0	3	3	0	2	0	0	0	0	1	0	1	0
55-59	9	0	1	1	0	2	1	2	0	0	0	1	1	0
60-64	7	0	2	0	0	2	0	0	1	1	0	0	1	0
65+	20	0	3	4	1	4	0	4	0	0	0	1	3	0
Not Stated	22	0	0	0	0	0	0	0	0	0	0	0	0	22
Male	65	0	0	2	2	7	2	7	6	5	4	6	9	15
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	2	0	0	0	0	0	0	0	0	1	0	1	0	0
25-29	6	0	0	0	0	0	0	0	1	1	1	2	1	0
30-34	10	0	0	0	0	1	1	0	2	2	1	1	2	0
35-39	4	0	0	0	1	1	0	0	2	0	0	0	0	0
40-44	3	0	0	0	0	0	1	2	0	0	0	0	0	0
45-49	3	0	0	0	1	0	0	1	0	0	1	0	0	0
50-54	3	0	0	1	0	0	0	0	0	0	1	0	1	0
55-59	3	0	0	0	0	0	0	1	0	0	0	1	1	0
60-64	4	0	0	0	0	1	0	0	1	1	0	0	1	0
65+	12	0	0	1	0	4	0	3	0	0	0	1	3	0
Not Stated	15	0	0	0	0	0	0	0	0	0	0	0	0	15
Female	80	1	12	11	4	24	4	8	2	4	1	1	1	7
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	8	0	0	0	0	1	1	2	0	3	1	0	0	0
25-29	14	0	0	0	0	10	1	0	1	0	0	1	1	0
30-34	8	0	1	2	0	3	0	1	0	1	0	0	0	0
35-39	10	0	1	3	0	2	1	2	1	0	0	0	0	0
40-44	4	1	1	0	2	0	0	0	0	0	0	0	0	0
45-49	4	0	0	0	1	2	0	1	0	0	0	0	0	0
50-54	7	0	3	2	0	2	0	0	0	0	0	0	0	0
55-59	6	0	1	1	0	2	1	1	0	0	0	0	0	0
60-64	3	0	2	0	0	1	0	0	0	0	0	0	0	0
65+	8	0	3	3	1	0	0	1	0	0	0	0	0	0
Not Stated	7	0	0	0	0	0	0	0	0	0	0	0	0	7
Kendhoo
Both Sexes	344	11	19	30	26	35	41	31	22	32	20	16	59	2
15-19	6	0	0	3	2	1	0	0	0	0	0	0	0	0
20-24	20	0	0	0	0	0	7	5	3	3	2	0	0	0
25-29	53	0	0	0	1	14	8	5	3	5	5	4	8	0
30-34	43	0	1	1	3	4	8	6	5	3	2	3	7	0
35-39	38	0	3	6	6	3	4	3	0	4	3	2	4	0
40-44	36	5	3	4	4	3	4	0	3	3	1	1	5	0
45-49	45	4	5	6	2	3	0	5	2	4	3	3	8	0
50-54	28	1	0	6	1	3	3	0	3	1	1	1	8	0
55-59	14	0	1	0	6	1	0	1	1	2	1	0	1	0
60-64	5	0	0	0	1	1	2	0	0	0	0	0	1	0
65+	54	1	6	4	0	2	5	6	2	7	2	2	17	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Male	153	1	1	4	2	5	11	14	14	22	11	15	52	1
15-19	4	0	0	2	1	1	0	0	0	0	0	0	0	0
20-24	2	0	0	0	0	0	0	1	0	0	1	0	0	0
25-29	16	0	0	0	0	0	1	1	0	3	2	4	5	0
30-34	13	0	0	0	0	0	0	0	3	1	1	3	5	0
35-39	15	0	0	0	1	0	0	2	0	3	3	2	4	0
40-44	17	0	0	0	0	0	4	0	3	3	1	1	5	0
45-49	22	0	0	0	0	1	0	5	2	3	1	3	7	0
50-54	17	0	0	0	0	1	2	0	3	1	1	1	8	0
55-59	7	0	0	0	0	1	0	1	1	2	1	0	1	0
60-64	2	0	0	0	0	0	1	0	0	0	0	0	1	0
65+	37	1	1	2	0	1	3	4	2	6	0	1	16	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	191	10	18	26	24	30	30	17	8	10	9	1	7	1
15-19	2	0	0	1	1	0	0	0	0	0	0	0	0	0
20-24	18	0	0	0	0	0	7	4	3	3	1	0	0	0
25-29	37	0	0	0	1	14	7	4	3	2	3	0	3	0
30-34	30	0	1	1	3	4	8	6	2	2	1	0	2	0
35-39	23	0	3	6	5	3	4	1	0	1	0	0	0	0
40-44	19	5	3	4	4	3	0	0	0	0	0	0	0	0
45-49	23	4	5	6	2	2	0	0	0	1	2	0	1	0
50-54	11	1	0	6	1	2	1	0	0	0	0	0	0	0
55-59	7	0	1	0	6	0	0	0	0	0	0	0	0	0
60-64	3	0	0	0	1	1	1	0	0	0	0	0	0	0
65+	17	0	5	2	0	1	2	2	0	1	2	1	1	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Kihaadhoo
Both Sexes	134	2	4	11	6	22	15	20	12	13	5	0	23	1
15-19	2	0	0	0	0	1	0	0	0	0	0	0	0	1
20-24	17	0	0	0	0	3	5	4	2	3	0	0	0	0
25-29	24	0	1	0	0	4	2	1	5	3	0	0	8	0
30-34	12	0	0	1	0	3	0	3	0	2	0	0	3	0
35-39	17	0	0	2	1	1	2	2	1	1	3	0	4	0
40-44	11	0	2	2	1	1	1	1	0	0	1	0	2	0
45-49	20	1	0	1	4	3	3	2	3	1	1	0	1	0
50-54	8	0	0	0	0	2	2	1	1	1	0	0	1	0
55-59	5	1	0	1	0	0	0	1	0	2	0	0	0	0
60-64	2	0	1	0	0	0	0	1	0	0	0	0	0	0
65+	16	0	0	4	0	4	0	4	0	0	0	0	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	59	0	0	3	0	5	4	7	8	7	5	0	19	1
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	3	0	0	0	0	0	0	0	1	2	0	0	0	0
25-29	8	0	0	0	0	0	0	0	2	1	0	0	5	0
30-34	5	0	0	0	0	0	0	1	0	1	0	0	3	0
35-39	8	0	0	0	0	0	0	0	1	0	3	0	4	0
40-44	3	0	0	0	0	0	1	0	0	0	1	0	1	0
45-49	11	0	0	0	0	1	2	2	3	1	1	0	1	0
50-54	7	0	0	0	0	2	1	1	1	1	0	0	1	0
55-59	1	0	0	0	0	0	0	0	0	1	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	12	0	0	3	0	2	0	3	0	0	0	0	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	75	2	4	8	6	17	11	13	4	6	0	0	4	0
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	14	0	0	0	0	3	5	4	1	1	0	0	0	0
25-29	16	0	1	0	0	4	2	1	3	2	0	0	3	0
30-34	7	0	0	1	0	3	0	2	0	1	0	0	0	0
35-39	9	0	0	2	1	1	2	2	0	1	0	0	0	0
40-44	8	0	2	2	1	1	0	1	0	0	0	0	1	0
45-49	9	1	0	1	4	2	1	0	0	0	0	0	0	0
50-54	1	0	0	0	0	0	1	0	0	0	0	0	0	0
55-59	4	1	0	1	0	0	0	1	0	1	0	0	0	0
60-64	2	0	1	0	0	0	0	1	0	0	0	0	0	0
65+	4	0	0	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
Dhonfanu
Both Sexes	169	0	1	10	9	30	18	26	11	6	10	5	35	8
15-19	4	0	0	1	0	1	0	0	0	0	0	0	0	2
20-24	15	0	0	0	0	2	5	1	3	1	2	0	1	0
25-29	18	0	0	0	0	0	3	2	1	1	2	2	7	0
30-34	17	0	0	0	2	3	3	2	1	0	0	1	5	0
35-39	22	0	1	1	3	6	1	1	2	1	0	0	6	0
40-44	20	0	0	1	0	4	3	5	2	0	3	0	2	0
45-49	13	0	0	2	1	4	2	1	0	1	2	0	0	0
50-54	12	0	0	1	1	4	0	2	1	1	0	0	2	0
55-59	6	0	0	1	0	3	0	1	0	0	1	0	0	0
60-64	14	0	0	1	2	2	0	3	0	0	0	2	4	0
65+	22	0	0	2	0	1	1	8	1	1	0	0	8	0
Not Stated	6	0	0	0	0	0	0	0	0	0	0	0	0	6
Male	75	0	0	0	0	4	6	15	3	5	7	2	29	4
15-19	2	0	0	0	0	0	0	0	0	0	0	0	0	2
20-24	4	0	0	0	0	0	1	0	0	1	1	0	1	0
25-29	8	0	0	0	0	0	0	1	1	0	1	0	5	0
30-34	6	0	0	0	0	0	0	1	1	0	0	0	4	0
35-39	7	0	0	0	0	0	1	0	0	1	0	0	5	0
40-44	11	0	0	0	0	0	2	4	0	0	3	0	2	0
45-49	7	0	0	0	0	2	1	1	0	1	2	0	0	0
50-54	6	0	0	0	0	1	0	2	0	1	0	0	2	0
55-59	1	0	0	0	0	0	0	1	0	0	0	0	0	0
60-64	7	0	0	0	0	0	0	1	0	0	0	2	4	0
65+	14	0	0	0	0	1	1	4	1	1	0	0	6	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	94	0	1	10	9	26	12	11	8	1	3	3	6	4
15-19	2	0	0	1	0	1	0	0	0	0	0	0	0	0
20-24	11	0	0	0	0	2	4	1	3	0	1	0	0	0
25-29	10	0	0	0	0	0	3	1	0	1	1	2	2	0
30-34	11	0	0	0	2	3	3	1	0	0	0	1	1	0
35-39	15	0	1	1	3	6	0	1	2	0	0	0	1	0
40-44	9	0	0	1	0	4	1	1	2	0	0	0	0	0
45-49	6	0	0	2	1	2	1	0	0	0	0	0	0	0
50-54	6	0	0	1	1	3	0	0	1	0	0	0	0	0
55-59	5	0	0	1	0	3	0	0	0	0	1	0	0	0
60-64	7	0	0	1	2	2	0	2	0	0	0	0	0	0
65+	8	0	0	2	0	0	0	4	0	0	0	0	2	0
Not Stated	4	0	0	0	0	0	0	0	0	0	0	0	0	4
Dharavandhoo
Both Sexes	324	14	17	12	17	46	28	50	24	33	15	14	53	1
15-19	2	0	0	0	0	1	0	0	0	0	0	0	0	1
20-24	26	0	0	0	0	1	5	7	6	3	2	2	0	0
25-29	45	0	0	0	0	5	5	9	6	6	4	3	7	0
30-34	37	0	0	1	2	7	2	3	3	7	1	1	10	0
35-39	44	1	3	2	2	6	4	10	1	2	2	2	9	0
40-44	42	1	4	3	7	4	5	4	2	4	0	1	7	0
45-49	43	1	2	3	3	7	4	5	3	4	2	2	7	0
50-54	26	0	2	1	1	5	1	7	1	2	2	1	3	0
55-59	12	1	2	0	0	1	0	0	0	3	1	0	4	0
60-64	5	1	1	0	0	0	1	0	0	0	0	1	1	0
65+	42	9	3	2	2	9	1	5	2	2	1	1	5	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	136	1	2	1	2	9	5	21	8	18	10	13	45	1
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	6	0	0	0	0	0	0	0	2	1	1	2	0	0
25-29	13	0	0	0	0	1	0	3	0	2	1	2	4	0
30-34	15	0	0	0	0	0	0	0	1	2	1	1	10	0
35-39	18	0	0	0	0	0	0	4	0	1	2	2	9	0
40-44	17	0	0	0	1	0	2	3	1	3	0	1	6	0
45-49	20	0	0	0	0	2	2	2	2	3	2	2	5	0
50-54	15	0	0	0	0	1	0	5	1	2	2	1	3	0
55-59	8	0	0	0	0	1	0	0	0	2	1	0	4	0
60-64	2	0	0	0	0	0	0	0	0	0	0	1	1	0
65+	21	1	2	1	1	4	1	4	1	2	0	1	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	188	13	15	11	15	37	23	29	16	15	5	1	8	0
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	20	0	0	0	0	1	5	7	4	2	1	0	0	0
25-29	32	0	0	0	0	4	5	6	6	4	3	1	3	0
30-34	22	0	0	1	2	7	2	3	2	5	0	0	0	0
35-39	26	1	3	2	2	6	4	6	1	1	0	0	0	0
40-44	25	1	4	3	6	4	3	1	1	1	0	0	1	0
45-49	23	1	2	3	3	5	2	3	1	1	0	0	2	0
50-54	11	0	2	1	1	4	1	2	0	0	0	0	0	0
55-59	4	1	2	0	0	0	0	0	0	1	0	0	0	0
60-64	3	1	1	0	0	0	1	0	0	0	0	0	0	0
65+	21	8	1	1	1	5	0	1	1	0	1	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Maalhos
Both Sexes	190	2	15	11	24	32	20	15	6	14	16	10	25	0
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	23	0	0	0	0	2	6	5	3	2	3	1	1	0
25-29	23	0	1	1	1	0	0	1	0	2	6	3	8	0
30-34	24	0	1	0	4	5	3	2	0	2	0	3	4	0
35-39	25	0	4	3	2	2	0	1	1	4	4	1	3	0
40-44	23	0	3	2	3	5	4	0	0	3	2	0	1	0
45-49	18	0	2	2	5	5	3	0	0	0	0	1	0	0
50-54	14	1	0	1	3	2	3	2	1	0	0	0	1	0
55-59	9	0	1	1	2	4	0	0	0	0	0	0	1	0
60-64	14	1	2	1	2	3	0	2	1	0	0	1	1	0
65+	16	0	1	0	2	3	1	2	0	1	1	0	5	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	84	0	1	1	7	13	10	4	4	9	12	3	20	0
15-19	1	0	0	0	0	1	0	0	0	0	0	0	0	0
20-24	5	0	0	0	0	0	1	1	1	0	1	0	1	0
25-29	11	0	0	1	0	0	0	0	0	1	4	1	4	0
30-34	8	0	0	0	0	1	1	1	0	1	0	0	4	0
35-39	14	0	0	0	1	0	0	1	1	4	4	1	2	0
40-44	10	0	1	0	0	2	2	0	0	2	2	0	1	0
45-49	6	0	0	0	2	2	2	0	0	0	0	0	0	0
50-54	7	0	0	0	0	2	3	0	1	0	0	0	1	0
55-59	6	0	0	0	2	3	0	0	0	0	0	0	1	0
60-64	6	0	0	0	1	2	0	0	1	0	0	1	1	0
65+	10	0	0	0	1	0	1	1	0	1	1	0	5	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	106	2	14	10	17	19	10	11	2	5	4	7	5	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	18	0	0	0	0	2	5	4	2	2	2	1	0	0
25-29	12	0	1	0	1	0	0	1	0	1	2	2	4	0
30-34	16	0	1	0	4	4	2	1	0	1	0	3	0	0
35-39	11	0	4	3	1	2	0	0	0	0	0	0	1	0
40-44	13	0	2	2	3	3	2	0	0	1	0	0	0	0
45-49	12	0	2	2	3	3	1	0	0	0	0	1	0	0
50-54	7	1	0	1	3	0	0	2	0	0	0	0	0	0
55-59	3	0	1	1	0	1	0	0	0	0	0	0	0	0
60-64	8	1	2	1	1	1	0	2	0	0	0	0	0	0
65+	6	0	1	0	1	3	0	1	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Eydhafushi
Both Sexes	981	33	64	67	65	127	92	89	65	57	44	44	226	8
15-19	34	0	2	5	8	6	6	2	0	0	0	0	0	5
20-24	64	0	0	0	0	8	14	12	14	13	1	2	0	0
25-29	104	0	0	0	2	12	10	16	13	4	14	13	20	0
30-34	103	0	4	2	3	6	19	9	3	8	4	7	38	0
35-39	131	0	3	11	8	18	8	5	12	14	13	6	33	0
40-44	127	4	3	14	8	23	7	8	11	6	4	3	36	0
45-49	115	3	6	12	13	21	11	8	3	4	3	2	29	0
50-54	70	5	7	7	9	11	6	5	2	3	1	1	13	0
55-59	41	5	11	6	2	4	0	5	0	1	2	2	3	0
60-64	58	4	6	3	3	8	6	4	3	1	0	1	19	0
65+	131	12	22	7	9	10	5	15	4	3	2	7	35	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Male	392	4	9	10	18	31	35	29	21	20	20	24	166	5
15-19	21	0	2	3	6	3	3	1	0	0	0	0	0	3
20-24	12	0	0	0	0	1	3	0	4	4	0	0	0	0
25-29	22	0	0	0	0	2	0	1	1	1	4	5	8	0
30-34	39	0	0	0	0	0	2	2	0	2	2	4	27	0
35-39	47	0	0	1	0	4	3	2	2	3	6	4	22	0
40-44	52	0	0	0	3	4	5	2	7	1	3	1	26	0
45-49	48	1	0	0	1	5	6	5	2	2	2	2	22	0
50-54	34	1	0	2	2	4	5	4	0	3	1	0	12	0
55-59	15	0	0	2	1	2	0	2	0	1	2	2	3	0
60-64	32	1	1	0	0	4	5	2	3	0	0	0	16	0
65+	68	1	6	2	5	2	3	8	2	3	0	6	30	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	589	29	55	57	47	96	57	60	44	37	24	20	60	3
15-19	13	0	0	2	2	3	3	1	0	0	0	0	0	2
20-24	52	0	0	0	0	7	11	12	10	9	1	2	0	0
25-29	82	0	0	0	2	10	10	15	12	3	10	8	12	0
30-34	64	0	4	2	3	6	17	7	3	6	2	3	11	0
35-39	84	0	3	10	8	14	5	3	10	11	7	2	11	0
40-44	75	4	3	14	5	19	2	6	4	5	1	2	10	0
45-49	67	2	6	12	12	16	5	3	1	2	1	0	7	0
50-54	36	4	7	5	7	7	1	1	2	0	0	1	1	0
55-59	26	5	11	4	1	2	0	3	0	0	0	0	0	0
60-64	26	3	5	3	3	4	1	2	0	1	0	1	3	0
65+	63	11	16	5	4	8	2	7	2	0	2	1	5	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Thulhaadhoo
Both Sexes	808	14	26	39	56	110	76	96	54	64	43	29	176	25
15-19	29	0	3	6	4	9	3	4	0	0	0	0	0	0
20-24	44	0	0	0	0	1	4	7	10	13	4	3	2	0
25-29	79	0	0	1	0	9	11	5	8	9	8	8	20	0
30-34	109	0	2	2	5	12	7	11	13	5	15	7	30	0
35-39	121	0	2	4	10	11	13	12	7	13	5	2	42	0
40-44	102	1	3	4	9	18	12	10	3	9	1	6	26	0
45-49	83	3	2	7	8	8	9	9	7	4	5	0	21	0
50-54	66	2	1	7	6	16	9	9	2	1	3	0	10	0
55-59	46	4	5	2	3	11	4	6	1	2	0	1	7	0
60-64	27	2	0	1	4	4	1	3	2	1	1	0	8	0
65+	77	2	8	5	7	11	3	20	1	7	1	2	10	0
Not Stated	25	0	0	0	0	0	0	0	0	0	0	0	0	25
Male	352	1	6	2	8	25	24	48	26	36	19	15	125	17
15-19	15	0	3	1	1	5	2	3	0	0	0	0	0	0
20-24	15	0	0	0	0	0	1	1	3	6	1	1	2	0
25-29	15	0	0	0	0	0	1	1	2	2	0	3	6	0
30-34	38	0	1	0	0	0	1	2	3	3	7	2	19	0
35-39	47	0	0	0	0	3	1	2	3	7	1	1	29	0
40-44	46	0	0	0	0	1	5	5	3	6	1	5	20	0
45-49	47	0	0	0	1	2	2	7	6	4	5	0	20	0
50-54	32	0	0	0	3	5	5	8	2	0	2	0	7	0
55-59	25	0	1	0	1	5	4	5	1	1	0	1	6	0
60-64	18	1	0	0	0	1	1	3	2	1	1	0	8	0
65+	37	0	1	1	2	3	1	11	1	6	1	2	8	0
Not Stated	17	0	0	0	0	0	0	0	0	0	0	0	0	17
Female	456	13	20	37	48	85	52	48	28	28	24	14	51	8
15-19	14	0	0	5	3	4	1	1	0	0	0	0	0	0
20-24	29	0	0	0	0	1	3	6	7	7	3	2	0	0
25-29	64	0	0	1	0	9	10	4	6	7	8	5	14	0
30-34	71	0	1	2	5	12	6	9	10	2	8	5	11	0
35-39	74	0	2	4	10	8	12	10	4	6	4	1	13	0
40-44	56	1	3	4	9	17	7	5	0	3	0	1	6	0
45-49	36	3	2	7	7	6	7	2	1	0	0	0	1	0
50-54	34	2	1	7	3	11	4	1	0	1	1	0	3	0
55-59	21	4	4	2	2	6	0	1	0	1	0	0	1	0
60-64	9	1	0	1	4	3	0	0	0	0	0	0	0	0
65+	40	2	7	4	5	8	2	9	0	1	0	0	2	0
Not Stated	8	0	0	0	0	0	0	0	0	0	0	0	0	8
Hithaadhoo
Both Sexes	361	9	29	41	28	31	23	42	21	17	24	18	78	0
15-19	7	0	1	0	2	1	2	1	0	0	0	0	0	0
20-24	24	0	0	0	0	4	2	4	4	2	6	2	0	0
25-29	36	0	0	0	0	5	2	2	3	3	5	6	10	0
30-34	41	0	0	7	4	3	2	5	2	2	2	1	13	0
35-39	44	0	6	6	5	1	3	4	2	5	4	2	6	0
40-44	54	1	4	8	6	0	3	5	2	0	3	3	19	0
45-49	61	3	7	7	1	10	5	8	3	3	2	2	10	0
50-54	21	4	3	0	1	2	1	2	3	0	0	0	5	0
55-59	10	0	2	1	1	1	0	1	1	0	2	0	1	0
60-64	6	0	0	1	1	0	0	1	1	1	0	0	1	0
65+	57	1	6	11	7	4	3	9	0	1	0	2	13	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	159	0	1	3	4	9	7	24	10	7	14	14	66	0
15-19	2	0	0	0	1	0	1	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	14	0	0	0	0	0	0	0	0	1	3	4	6	0
30-34	13	0	0	0	0	0	0	2	0	1	0	1	9	0
35-39	14	0	0	0	0	0	0	1	1	1	3	2	6	0
40-44	34	0	0	1	0	0	1	5	2	0	3	3	19	0
45-49	35	0	0	0	0	7	3	7	3	2	2	2	9	0
50-54	10	0	0	0	1	1	1	2	2	0	0	0	3	0
55-59	4	0	0	0	0	0	0	0	1	0	2	0	1	0
60-64	4	0	0	0	0	0	0	1	1	1	0	0	1	0
65+	28	0	1	2	2	1	1	6	0	1	0	2	12	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	202	9	28	38	24	22	16	18	11	10	10	4	12	0
15-19	5	0	1	0	1	1	1	1	0	0	0	0	0	0
20-24	23	0	0	0	0	4	2	4	4	2	5	2	0	0
25-29	22	0	0	0	0	5	2	2	3	2	2	2	4	0
30-34	28	0	0	7	4	3	2	3	2	1	2	0	4	0
35-39	30	0	6	6	5	1	3	3	1	4	1	0	0	0
40-44	20	1	4	7	6	0	2	0	0	0	0	0	0	0
45-49	26	3	7	7	1	3	2	1	0	1	0	0	1	0
50-54	11	4	3	0	0	1	0	0	1	0	0	0	2	0
55-59	6	0	2	1	1	1	0	1	0	0	0	0	0	0
60-64	2	0	0	1	1	0	0	0	0	0	0	0	0	0
65+	29	1	5	9	5	3	2	3	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Fulhadhoo
Both Sexes	102	8	15	9	5	18	3	12	4	5	2	2	19	0
15-19	3	0	0	0	1	2	0	0	0	0	0	0	0	0
20-24	13	0	0	0	0	7	2	3	0	1	0	0	0	0
25-29	15	0	1	0	0	3	0	3	2	2	1	1	2	0
30-34	11	0	1	1	1	1	0	0	1	0	0	0	6	0
35-39	10	0	2	1	1	1	0	1	0	0	1	0	3	0
40-44	11	1	2	3	0	1	0	1	0	1	0	0	2	0
45-49	14	4	3	1	1	2	0	2	0	0	0	0	1	0
50-54	6	0	1	1	1	0	1	0	0	0	0	1	1	0
55-59	2	1	0	0	0	0	0	1	0	0	0	0	0	0
60-64	4	0	3	1	0	0	0	0	0	0	0	0	0	0
65+	13	2	2	1	0	1	0	1	1	1	0	0	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	49	2	4	5	2	3	1	8	1	3	2	2	16	0
15-19	1	0	0	0	1	0	0	0	0	0	0	0	0	0
20-24	3	0	0	0	0	1	1	1	0	0	0	0	0	0
25-29	9	0	0	0	0	0	0	2	1	2	1	1	2	0
30-34	4	0	0	0	0	0	0	0	0	0	0	0	4	0
35-39	7	0	0	1	1	1	0	0	0	0	1	0	3	0
40-44	6	0	1	1	0	1	0	1	0	0	0	0	2	0
45-49	6	2	0	1	0	0	0	2	0	0	0	0	1	0
50-54	3	0	0	1	0	0	0	0	0	0	0	1	1	0
55-59	1	0	0	0	0	0	0	1	0	0	0	0	0	0
60-64	3	0	2	1	0	0	0	0	0	0	0	0	0	0
65+	6	0	1	0	0	0	0	1	0	1	0	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	53	6	11	4	3	15	2	4	3	2	0	0	3	0
15-19	2	0	0	0	0	2	0	0	0	0	0	0	0	0
20-24	10	0	0	0	0	6	1	2	0	1	0	0	0	0
25-29	6	0	1	0	0	3	0	1	1	0	0	0	0	0
30-34	7	0	1	1	1	1	0	0	1	0	0	0	2	0
35-39	3	0	2	0	0	0	0	1	0	0	0	0	0	0
40-44	5	1	1	2	0	0	0	0	0	1	0	0	0	0
45-49	8	2	3	0	1	2	0	0	0	0	0	0	0	0
50-54	3	0	1	0	1	0	1	0	0	0	0	0	0	0
55-59	1	1	0	0	0	0	0	0	0	0	0	0	0	0
60-64	1	0	1	0	0	0	0	0	0	0	0	0	0	0
65+	7	2	1	1	0	1	0	0	1	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Fehendhoo
Both Sexes	68	1	8	4	3	12	5	7	10	3	3	2	10	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	8	0	0	0	0	2	3	0	2	1	0	0	0	0
25-29	9	0	0	0	0	0	1	1	2	0	1	1	3	0
30-34	8	0	0	0	0	0	0	0	3	1	1	1	2	0
35-39	7	0	2	0	0	1	0	2	1	0	0	0	1	0
40-44	9	0	0	2	0	2	1	1	1	1	0	0	1	0
45-49	5	0	1	0	0	1	0	1	1	0	1	0	0	0
50-54	6	0	1	0	0	2	0	1	0	0	0	0	2	0
55-59	3	0	0	2	0	1	0	0	0	0	0	0	0	0
60-64	4	0	2	0	2	0	0	0	0	0	0	0	0	0
65+	9	1	2	0	1	3	0	1	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	34	0	1	1	1	6	1	5	5	2	2	1	9	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	1	0	0	0	0
25-29	4	0	0	0	0	0	0	0	2	0	0	0	2	0
30-34	5	0	0	0	0	0	0	0	1	0	1	1	2	0
35-39	3	0	0	0	0	0	0	2	0	0	0	0	1	0
40-44	6	0	0	0	0	1	1	1	1	1	0	0	1	0
45-49	3	0	0	0	0	0	0	1	1	0	1	0	0	0
50-54	5	0	1	0	0	1	0	1	0	0	0	0	2	0
55-59	2	0	0	1	0	1	0	0	0	0	0	0	0	0
60-64	1	0	0	0	1	0	0	0	0	0	0	0	0	0
65+	4	0	0	0	0	3	0	0	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	34	1	7	3	2	6	4	2	5	1	1	1	1	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	7	0	0	0	0	2	3	0	2	0	0	0	0	0
25-29	5	0	0	0	0	0	1	1	0	0	1	1	1	0
30-34	3	0	0	0	0	0	0	0	2	1	0	0	0	0
35-39	4	0	2	0	0	1	0	0	1	0	0	0	0	0
40-44	3	0	0	2	0	1	0	0	0	0	0	0	0	0
45-49	2	0	1	0	0	1	0	0	0	0	0	0	0	0
50-54	1	0	0	0	0	1	0	0	0	0	0	0	0	0
55-59	1	0	0	1	0	0	0	0	0	0	0	0	0	0
60-64	3	0	2	0	1	0	0	0	0	0	0	0	0	0
65+	5	1	2	0	1	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
Goidhoo
Both Sexes	209	11	20	24	14	40	17	27	12	11	8	4	19	2
15-19	6	0	2	0	0	2	1	1	0	0	0	0	0	0
20-24	24	0	0	0	0	8	3	5	4	2	0	2	0	0
25-29	24	0	0	0	0	11	2	3	0	1	2	0	5	0
30-34	22	0	4	4	1	1	1	2	3	1	1	1	3	0
35-39	24	0	3	4	2	4	2	3	1	2	2	0	1	0
40-44	29	1	5	6	2	5	5	1	0	1	1	0	2	0
45-49	19	5	0	1	1	5	0	5	2	0	0	0	0	0
50-54	11	1	2	0	2	1	0	2	0	1	0	0	2	0
55-59	12	0	1	4	1	0	2	2	0	1	1	0	0	0
60-64	13	0	1	3	3	1	0	0	2	1	0	0	2	0
65+	23	4	2	2	2	2	1	3	0	1	1	1	4	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Male	90	0	2	4	8	10	8	15	10	9	7	2	13	2
15-19	3	0	1	0	0	1	0	1	0	0	0	0	0	0
20-24	5	0	0	0	0	0	0	1	2	1	0	1	0	0
25-29	6	0	0	0	0	0	0	1	0	1	1	0	3	0
30-34	10	0	0	0	1	0	0	1	3	1	1	0	3	0
35-39	13	0	0	0	1	3	1	2	1	2	2	0	1	0
40-44	12	0	0	0	1	2	4	1	0	1	1	0	2	0
45-49	8	0	0	0	1	2	0	3	2	0	0	0	0	0
50-54	4	0	0	0	1	0	0	1	0	1	0	0	1	0
55-59	7	0	0	2	0	0	2	2	0	0	1	0	0	0
60-64	7	0	1	1	1	0	0	0	2	1	0	0	1	0
65+	13	0	0	1	2	2	1	2	0	1	1	1	2	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	119	11	18	20	6	30	9	12	2	2	1	2	6	0
15-19	3	0	1	0	0	1	1	0	0	0	0	0	0	0
20-24	19	0	0	0	0	8	3	4	2	1	0	1	0	0
25-29	18	0	0	0	0	11	2	2	0	0	1	0	2	0
30-34	12	0	4	4	0	1	1	1	0	0	0	1	0	0
35-39	11	0	3	4	1	1	1	1	0	0	0	0	0	0
40-44	17	1	5	6	1	3	1	0	0	0	0	0	0	0
45-49	11	5	0	1	0	3	0	2	0	0	0	0	0	0
50-54	7	1	2	0	1	1	0	1	0	0	0	0	1	0
55-59	5	0	1	2	1	0	0	0	0	1	0	0	0	0
60-64	6	0	0	2	2	1	0	0	0	0	0	0	1	0
65+	10	4	2	1	0	0	0	1	0	0	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Resorts
Both Sexes	300	1	1	0	2	7	13	20	23	17	35	41	137	3
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	35	0	0	0	0	1	3	7	8	2	9	5	0	0
25-29	74	0	0	0	1	0	1	2	3	5	14	16	32	0
30-34	86	0	0	0	0	1	1	3	5	5	6	8	57	0
35-39	43	0	1	0	0	1	0	2	3	3	3	8	22	0
40-44	25	1	0	0	0	2	3	4	2	1	0	2	10	0
45-49	21	0	0	0	1	0	1	1	2	0	3	2	11	0
50-54	3	0	0	0	0	1	1	0	0	1	0	0	0	0
55-59	6	0	0	0	0	1	3	0	0	0	0	0	2	0
60-64	2	0	0	0	0	0	0	0	0	0	0	0	2	0
65+	2	0	0	0	0	0	0	1	0	0	0	0	1	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Male	291	1	1	0	1	6	12	18	23	17	34	41	134	3
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	31	0	0	0	0	0	2	5	8	2	9	5	0	0
25-29	70	0	0	0	0	0	1	2	3	5	13	16	30	0
30-34	86	0	0	0	0	1	1	3	5	5	6	8	57	0
35-39	42	0	1	0	0	1	0	2	3	3	3	8	21	0
40-44	25	1	0	0	0	2	3	4	2	1	0	2	10	0
45-49	21	0	0	0	1	0	1	1	2	0	3	2	11	0
50-54	3	0	0	0	0	1	1	0	0	1	0	0	0	0
55-59	6	0	0	0	0	1	3	0	0	0	0	0	2	0
60-64	2	0	0	0	0	0	0	0	0	0	0	0	2	0
65+	2	0	0	0	0	0	0	1	0	0	0	0	1	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	9	0	0	0	1	1	1	2	0	0	1	0	3	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	4	0	0	0	0	1	1	2	0	0	0	0	0	0
25-29	4	0	0	0	1	0	0	0	0	0	1	0	2	0
30-34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35-39	1	0	0	0	0	0	0	0	0	0	0	0	1	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
Industrial and Other Islands
Both Sexes	77	0	1	0	1	2	6	8	16	18	6	5	14	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	5	0	0	0	0	0	1	0	1	2	1	0	0	0
25-29	11	0	0	0	0	0	0	1	3	2	3	2	0	0
30-34	14	0	0	0	0	0	2	2	4	2	1	1	2	0
35-39	18	0	1	0	1	1	1	0	3	6	0	0	5	0
40-44	14	0	0	0	0	1	1	1	2	2	1	2	4	0
45-49	10	0	0	0	0	0	0	4	1	3	0	0	2	0
50-54	3	0	0	0	0	0	1	0	2	0	0	0	0	0
55-59	1	0	0	0	0	0	0	0	0	1	0	0	0	0
60-64	1	0	0	0	0	0	0	0	0	0	0	0	1	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	77	0	1	0	1	2	6	8	16	18	6	5	14	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	5	0	0	0	0	0	1	0	1	2	1	0	0	0
25-29	11	0	0	0	0	0	0	1	3	2	3	2	0	0
30-34	14	0	0	0	0	0	2	2	4	2	1	1	2	0
35-39	18	0	1	0	1	1	1	0	3	6	0	0	5	0
40-44	14	0	0	0	0	1	1	1	2	2	1	2	4	0
45-49	10	0	0	0	0	0	0	4	1	3	0	0	2	0
50-54	3	0	0	0	0	0	1	0	2	0	0	0	0	0
55-59	1	0	0	0	0	0	0	0	0	1	0	0	0	0
60-64	1	0	0	0	0	0	0	0	0	0	0	0	1	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