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 Nilandhe Atoll (Dh)
Both Sexes	2,343	77	204	188	157	392	209	252	164	140	99	87	342	32
Meedhoo	406	9	37	28	24	68	31	44	34	30	26	11	60	4
Badidhoo	231	12	34	22	13	54	19	16	21	6	9	4	20	1
Ribudhoo	100	4	11	7	3	24	6	14	5	3	3	3	17	0
Hulhudheli	275	16	32	30	19	48	22	30	15	11	9	7	28	8
Vaanee	118	3	11	4	9	19	15	22	12	3	3	2	11	4
Maaeboodhoo	279	5	19	27	21	43	41	36	16	22	6	11	30	2
Kudahuvadhoo	792	28	59	63	61	120	68	79	49	50	34	40	131	10
Resorts	136	0	1	7	6	12	7	11	12	15	9	9	44	3
Industrial and Other Islands	6	0	0	0	1	4	0	0	0	0	0	0	1	0
Male	1,122	3	18	38	34	98	105	163	107	107	69	65	292	23
Meedhoo	198	1	0	6	4	15	11	30	21	23	21	7	56	3
Badidhoo	100	1	4	2	4	19	12	13	15	6	7	4	13	0
Ribudhoo	42	0	2	1	1	4	1	9	3	2	3	1	15	0
Hulhudheli	110	0	3	7	5	12	11	16	7	5	7	6	24	7
Vaanee	53	0	1	0	0	7	7	11	8	2	3	2	10	2
Maaeboodhoo	128	0	0	1	2	7	20	25	9	21	4	11	26	2
Kudahuvadhoo	350	1	7	14	11	19	36	48	32	33	15	25	103	6
Resorts	135	0	1	7	6	11	7	11	12	15	9	9	44	3
Industrial and Other Islands	6	0	0	0	1	4	0	0	0	0	0	0	1	0
Female	1,221	74	186	150	123	294	104	89	57	33	30	22	50	9
Meedhoo	208	8	37	22	20	53	20	14	13	7	5	4	4	1
Badidhoo	131	11	30	20	9	35	7	3	6	0	2	0	7	1
Ribudhoo	58	4	9	6	2	20	5	5	2	1	0	2	2	0
Hulhudheli	165	16	29	23	14	36	11	14	8	6	2	1	4	1
Vaanee	65	3	10	4	9	12	8	11	4	1	0	0	1	2
Maaeboodhoo	151	5	19	26	19	36	21	11	7	1	2	0	4	0
Kudahuvadhoo	442	27	52	49	50	101	32	31	17	17	19	15	28	4
Resorts	1	0	0	0	0	1	0	0	0	0	0	0	0	0
Industrial and Other Islands	0	0	0	0	0	0	0	0	0	0	0	0	0	0
South Nilandhe Atoll (Dh)
Both Sexes	2,343	77	204	188	157	392	209	252	164	140	99	87	342	32
15-19	57	0	3	9	5	17	13	2	0	0	0	0	0	8
20-24	220	0	0	0	0	61	29	44	44	18	17	7	0	0
25-29	273	0	1	2	2	71	21	23	18	22	33	27	53	0
30-34	285	0	27	27	30	36	23	16	25	19	13	16	53	0
35-39	333	2	40	36	33	40	32	26	24	21	13	9	57	0
40-44	308	21	37	25	23	46	26	25	15	25	6	11	48	0
45-49	260	21	22	27	19	39	31	32	17	11	5	5	31	0
50-54	114	2	9	18	8	14	7	19	7	7	3	2	18	0
55-59	105	6	6	6	9	21	4	9	9	7	4	2	22	0
60-64	92	11	20	9	10	9	6	7	1	1	1	2	15	0
65+	272	14	39	29	18	38	17	49	4	9	4	6	45	0
Not Stated	24	0	0	0	0	0	0	0	0	0	0	0	0	24
Male	1,122	3	18	38	34	98	105	163	107	107	69	65	292	23
15-19	28	0	2	7	3	6	5	0	0	0	0	0	0	5
20-24	63	0	0	0	0	2	7	15	15	8	12	4	0	0
25-29	108	0	0	0	1	3	5	8	12	7	16	17	39	0
30-34	118	0	1	1	2	3	6	9	16	16	9	10	45	0
35-39	176	0	1	3	6	14	22	19	22	21	13	7	48	0
40-44	154	3	2	6	4	15	16	20	12	22	4	10	40	0
45-49	131	0	0	3	9	10	21	27	12	10	5	5	29	0
50-54	65	0	1	1	0	7	6	15	6	7	2	2	18	0
55-59	67	0	1	2	1	11	3	7	9	7	4	2	20	0
60-64	33	0	4	1	1	3	3	3	0	1	1	2	14	0
65+	161	0	6	14	7	24	11	40	3	8	3	6	39	0
Not Stated	18	0	0	0	0	0	0	0	0	0	0	0	0	18
Female	1,221	74	186	150	123	294	104	89	57	33	30	22	50	9
15-19	29	0	1	2	2	11	8	2	0	0	0	0	0	3
20-24	157	0	0	0	0	59	22	29	29	10	5	3	0	0
25-29	165	0	1	2	1	68	16	15	6	15	17	10	14	0
30-34	167	0	26	26	28	33	17	7	9	3	4	6	8	0
35-39	157	2	39	33	27	26	10	7	2	0	0	2	9	0
40-44	154	18	35	19	19	31	10	5	3	3	2	1	8	0
45-49	129	21	22	24	10	29	10	5	5	1	0	0	2	0
50-54	49	2	8	17	8	7	1	4	1	0	1	0	0	0
55-59	38	6	5	4	8	10	1	2	0	0	0	0	2	0
60-64	59	11	16	8	9	6	3	4	1	0	0	0	1	0
65+	111	14	33	15	11	14	6	9	1	1	1	0	6	0
Not Stated	6	0	0	0	0	0	0	0	0	0	0	0	0	6
Meedhoo
Both Sexes	406	9	37	28	24	68	31	44	34	30	26	11	60	4
15-19	6	0	0	0	0	3	3	0	0	0	0	0	0	0
20-24	36	0	0	0	0	10	5	5	11	2	3	0	0	0
25-29	56	0	1	0	0	14	3	7	3	5	8	2	13	0
30-34	50	0	2	6	4	6	4	3	7	6	3	3	6	0
35-39	62	1	4	4	5	11	2	4	4	5	6	3	13	0
40-44	50	4	11	2	4	4	4	5	1	6	1	0	8	0
45-49	55	3	7	4	5	7	9	7	4	1	2	1	5	0
50-54	17	0	1	3	3	3	0	3	2	1	0	0	1	0
55-59	13	0	1	0	0	1	0	0	1	3	1	0	6	0
60-64	12	1	3	3	1	1	0	2	0	0	1	0	0	0
65+	45	0	7	6	2	8	1	8	1	1	1	2	8	0
Not Stated	4	0	0	0	0	0	0	0	0	0	0	0	0	4
Male	198	1	0	6	4	15	11	30	21	23	21	7	56	3
15-19	2	0	0	0	0	1	1	0	0	0	0	0	0	0
20-24	9	0	0	0	0	0	2	3	2	0	2	0	0	0
25-29	25	0	0	0	0	0	0	1	2	2	6	1	13	0
30-34	21	0	0	1	0	0	0	2	4	5	2	2	5	0
35-39	38	0	0	0	1	5	1	3	4	5	6	1	12	0
40-44	24	1	0	2	0	1	1	4	1	5	1	0	8	0
45-49	31	0	0	1	2	2	6	7	4	1	2	1	5	0
50-54	8	0	0	0	0	1	0	3	2	1	0	0	1	0
55-59	10	0	0	0	0	1	0	0	1	3	1	0	4	0
60-64	2	0	0	0	0	0	0	1	0	0	1	0	0	0
65+	25	0	0	2	1	4	0	6	1	1	0	2	8	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Female	208	8	37	22	20	53	20	14	13	7	5	4	4	1
15-19	4	0	0	0	0	2	2	0	0	0	0	0	0	0
20-24	27	0	0	0	0	10	3	2	9	2	1	0	0	0
25-29	31	0	1	0	0	14	3	6	1	3	2	1	0	0
30-34	29	0	2	5	4	6	4	1	3	1	1	1	1	0
35-39	24	1	4	4	4	6	1	1	0	0	0	2	1	0
40-44	26	3	11	0	4	3	3	1	0	1	0	0	0	0
45-49	24	3	7	3	3	5	3	0	0	0	0	0	0	0
50-54	9	0	1	3	3	2	0	0	0	0	0	0	0	0
55-59	3	0	1	0	0	0	0	0	0	0	0	0	2	0
60-64	10	1	3	3	1	1	0	1	0	0	0	0	0	0
65+	20	0	7	4	1	4	1	2	0	0	1	0	0	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Badidhoo
Both Sexes	231	12	34	22	13	54	19	16	21	6	9	4	20	1
15-19	6	0	1	1	1	1	2	0	0	0	0	0	0	0
20-24	24	0	0	0	0	12	3	3	4	0	2	0	0	0
25-29	26	0	0	1	0	12	2	0	1	2	4	1	3	0
30-34	29	0	8	4	3	5	1	0	4	0	1	1	2	0
35-39	38	0	8	5	3	5	3	4	7	2	0	0	1	0
40-44	30	2	3	3	1	4	2	1	3	1	1	1	8	0
45-49	28	5	5	4	1	5	3	3	1	0	0	0	1	0
50-54	7	0	0	1	1	2	0	2	0	0	0	1	0	0
55-59	10	2	0	1	0	2	1	1	0	1	1	0	1	0
60-64	14	3	5	1	1	0	1	0	1	0	0	0	2	0
65+	18	0	4	1	2	6	1	2	0	0	0	0	2	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	100	1	4	2	4	19	12	13	15	6	7	4	13	0
15-19	4	0	1	1	0	0	2	0	0	0	0	0	0	0
20-24	8	0	0	0	0	2	2	1	1	0	2	0	0	0
25-29	8	0	0	0	0	1	1	0	1	2	2	1	0	0
30-34	8	0	0	0	0	0	0	0	4	0	1	1	2	0
35-39	18	0	0	0	1	3	2	4	6	2	0	0	0	0
40-44	19	1	1	0	0	2	1	1	3	1	1	1	7	0
45-49	7	0	0	0	0	2	3	2	0	0	0	0	0	0
50-54	4	0	0	0	0	1	0	2	0	0	0	1	0	0
55-59	8	0	0	1	0	2	1	1	0	1	1	0	1	0
60-64	5	0	2	0	1	0	0	0	0	0	0	0	2	0
65+	11	0	0	0	2	6	0	2	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	131	11	30	20	9	35	7	3	6	0	2	0	7	1
15-19	2	0	0	0	1	1	0	0	0	0	0	0	0	0
20-24	16	0	0	0	0	10	1	2	3	0	0	0	0	0
25-29	18	0	0	1	0	11	1	0	0	0	2	0	3	0
30-34	21	0	8	4	3	5	1	0	0	0	0	0	0	0
35-39	20	0	8	5	2	2	1	0	1	0	0	0	1	0
40-44	11	1	2	3	1	2	1	0	0	0	0	0	1	0
45-49	21	5	5	4	1	3	0	1	1	0	0	0	1	0
50-54	3	0	0	1	1	1	0	0	0	0	0	0	0	0
55-59	2	2	0	0	0	0	0	0	0	0	0	0	0	0
60-64	9	3	3	1	0	0	1	0	1	0	0	0	0	0
65+	7	0	4	1	0	0	1	0	0	0	0	0	1	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Ribudhoo
Both Sexes	100	4	11	7	3	24	6	14	5	3	3	3	17	0
15-19	2	0	0	0	0	1	1	0	0	0	0	0	0	0
20-24	10	0	0	0	0	4	1	1	2	0	1	1	0	0
25-29	13	0	0	0	0	7	0	0	0	1	0	1	4	0
30-34	5	0	1	1	0	0	1	1	0	0	1	0	0	0
35-39	11	0	4	2	0	0	0	2	1	0	0	0	2	0
40-44	13	0	1	0	1	3	2	1	0	1	0	1	3	0
45-49	12	2	1	2	0	2	1	1	1	1	1	0	0	0
50-54	6	0	0	1	1	1	0	1	1	0	0	0	1	0
55-59	11	1	1	0	0	3	0	2	0	0	0	0	4	0
60-64	4	0	1	0	0	2	0	0	0	0	0	0	1	0
65+	13	1	2	1	1	1	0	5	0	0	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	42	0	2	1	1	4	1	9	3	2	3	1	15	0
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	1	0	1	0	0	0
25-29	3	0	0	0	0	0	0	0	0	0	0	0	3	0
30-34	2	0	0	0	0	0	0	1	0	0	1	0	0	0
35-39	4	0	0	0	0	0	0	1	1	0	0	0	2	0
40-44	6	0	0	0	1	0	0	1	0	1	0	1	2	0
45-49	4	0	0	0	0	0	1	1	0	1	1	0	0	0
50-54	3	0	0	0	0	0	0	1	1	0	0	0	1	0
55-59	6	0	0	0	0	2	0	0	0	0	0	0	4	0
60-64	3	0	1	0	0	1	0	0	0	0	0	0	1	0
65+	9	0	1	1	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	58	4	9	6	2	20	5	5	2	1	0	2	2	0
15-19	2	0	0	0	0	1	1	0	0	0	0	0	0	0
20-24	8	0	0	0	0	4	1	1	1	0	0	1	0	0
25-29	10	0	0	0	0	7	0	0	0	1	0	1	1	0
30-34	3	0	1	1	0	0	1	0	0	0	0	0	0	0
35-39	7	0	4	2	0	0	0	1	0	0	0	0	0	0
40-44	7	0	1	0	0	3	2	0	0	0	0	0	1	0
45-49	8	2	1	2	0	2	0	0	1	0	0	0	0	0
50-54	3	0	0	1	1	1	0	0	0	0	0	0	0	0
55-59	5	1	1	0	0	1	0	2	0	0	0	0	0	0
60-64	1	0	0	0	0	1	0	0	0	0	0	0	0	0
65+	4	1	1	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
Hulhudheli
Both Sexes	275	16	32	30	19	48	22	30	15	11	9	7	28	8
15-19	10	0	0	2	1	2	2	1	0	0	0	0	0	2
20-24	31	0	0	0	0	11	1	5	6	6	2	0	0	0
25-29	30	0	0	1	1	12	4	2	1	2	2	4	1	0
30-34	36	0	5	4	6	6	3	4	3	1	1	2	1	0
35-39	34	0	6	8	2	1	6	3	2	0	1	0	5	0
40-44	31	5	4	5	5	5	2	2	0	1	0	0	2	0
45-49	19	4	1	1	3	4	1	1	0	0	0	0	4	0
50-54	13	1	2	3	0	2	0	1	1	0	1	0	2	0
55-59	9	1	0	0	0	1	0	2	2	0	0	0	3	0
60-64	20	4	6	0	1	1	1	3	0	0	0	0	4	0
65+	36	1	8	6	0	3	2	6	0	1	2	1	6	0
Not Stated	6	0	0	0	0	0	0	0	0	0	0	0	0	6
Male	110	0	3	7	5	12	11	16	7	5	7	6	24	7
15-19	6	0	0	1	1	2	1	0	0	0	0	0	0	1
20-24	5	0	0	0	0	0	0	0	1	3	1	0	0	0
25-29	6	0	0	0	0	0	0	1	0	0	1	3	1	0
30-34	10	0	0	0	1	1	1	2	1	1	1	2	0	0
35-39	16	0	0	1	0	0	5	3	2	0	1	0	4	0
40-44	10	0	0	0	1	3	2	2	0	0	0	0	2	0
45-49	8	0	0	0	2	3	0	0	0	0	0	0	3	0
50-54	6	0	0	0	0	1	0	1	1	0	1	0	2	0
55-59	7	0	0	0	0	0	0	2	2	0	0	0	3	0
60-64	6	0	1	0	0	0	0	1	0	0	0	0	4	0
65+	24	0	2	5	0	2	2	4	0	1	2	1	5	0
Not Stated	6	0	0	0	0	0	0	0	0	0	0	0	0	6
Female	165	16	29	23	14	36	11	14	8	6	2	1	4	1
15-19	4	0	0	1	0	0	1	1	0	0	0	0	0	1
20-24	26	0	0	0	0	11	1	5	5	3	1	0	0	0
25-29	24	0	0	1	1	12	4	1	1	2	1	1	0	0
30-34	26	0	5	4	5	5	2	2	2	0	0	0	1	0
35-39	18	0	6	7	2	1	1	0	0	0	0	0	1	0
40-44	21	5	4	5	4	2	0	0	0	1	0	0	0	0
45-49	11	4	1	1	1	1	1	1	0	0	0	0	1	0
50-54	7	1	2	3	0	1	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	14	4	5	0	1	1	1	2	0	0	0	0	0	0
65+	12	1	6	1	0	1	0	2	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Vaanee
Both Sexes	118	3	11	4	9	19	15	22	12	3	3	2	11	4
15-19	6	0	0	0	0	1	1	0	0	0	0	0	0	4
20-24	19	0	0	0	0	2	1	9	4	1	2	0	0	0
25-29	17	0	0	0	0	6	3	4	3	0	1	0	0	0
30-34	10	0	0	1	3	1	2	0	1	1	0	0	1	0
35-39	13	0	0	1	4	3	2	2	0	0	0	0	1	0
40-44	11	0	3	0	0	3	1	1	0	1	0	0	2	0
45-49	10	2	2	1	0	0	1	2	1	0	0	0	1	0
50-54	3	0	0	1	0	1	1	0	0	0	0	0	0	0
55-59	5	0	1	0	0	2	0	0	1	0	0	0	1	0
60-64	3	0	2	0	1	0	0	0	0	0	0	0	0	0
65+	21	1	3	0	1	0	3	4	2	0	0	2	5	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	53	0	1	0	0	7	7	11	8	2	3	2	10	2
15-19	2	0	0	0	0	0	0	0	0	0	0	0	0	2
20-24	7	0	0	0	0	0	0	2	3	0	2	0	0	0
25-29	7	0	0	0	0	2	1	1	2	0	1	0	0	0
30-34	4	0	0	0	0	0	1	0	1	1	0	0	1	0
35-39	6	0	0	0	0	1	2	2	0	0	0	0	1	0
40-44	7	0	1	0	0	2	0	1	0	1	0	0	2	0
45-49	2	0	0	0	0	0	0	1	0	0	0	0	1	0
50-54	2	0	0	0	0	1	1	0	0	0	0	0	0	0
55-59	3	0	0	0	0	1	0	0	1	0	0	0	1	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	13	0	0	0	0	0	2	4	1	0	0	2	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	65	3	10	4	9	12	8	11	4	1	0	0	1	2
15-19	4	0	0	0	0	1	1	0	0	0	0	0	0	2
20-24	12	0	0	0	0	2	1	7	1	1	0	0	0	0
25-29	10	0	0	0	0	4	2	3	1	0	0	0	0	0
30-34	6	0	0	1	3	1	1	0	0	0	0	0	0	0
35-39	7	0	0	1	4	2	0	0	0	0	0	0	0	0
40-44	4	0	2	0	0	1	1	0	0	0	0	0	0	0
45-49	8	2	2	1	0	0	1	1	1	0	0	0	0	0
50-54	1	0	0	1	0	0	0	0	0	0	0	0	0	0
55-59	2	0	1	0	0	1	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+	8	1	3	0	1	0	1	0	1	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Maaeboodhoo
Both Sexes	279	5	19	27	21	43	41	36	16	22	6	11	30	2
15-19	7	0	0	1	1	3	1	0	0	0	0	0	0	1
20-24	31	0	0	0	0	9	9	6	6	0	0	1	0	0
25-29	23	0	0	0	0	6	1	4	1	2	2	3	4	0
30-34	33	0	1	3	8	4	4	2	1	4	1	0	5	0
35-39	42	1	5	3	4	8	6	3	1	3	3	1	4	0
40-44	29	0	4	2	2	2	4	1	3	5	0	2	4	0
45-49	37	1	2	5	2	5	5	6	2	4	0	2	3	0
50-54	19	0	2	4	0	0	2	5	0	1	0	0	5	0
55-59	19	0	2	2	2	2	3	3	2	0	0	1	2	0
60-64	11	1	1	2	0	1	2	0	0	1	0	0	3	0
65+	27	2	2	5	2	3	4	6	0	2	0	1	0	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	128	0	0	1	2	7	20	25	9	21	4	11	26	2
15-19	3	0	0	1	1	0	0	0	0	0	0	0	0	1
20-24	6	0	0	0	0	0	2	2	1	0	0	1	0	0
25-29	8	0	0	0	0	0	0	1	0	2	0	3	2	0
30-34	11	0	0	0	0	0	0	1	1	4	1	0	4	0
35-39	15	0	0	0	0	0	2	2	1	3	3	1	3	0
40-44	18	0	0	0	0	1	3	1	2	5	0	2	4	0
45-49	22	0	0	0	1	1	4	5	2	4	0	2	3	0
50-54	12	0	0	0	0	0	2	4	0	1	0	0	5	0
55-59	11	0	0	0	0	1	2	3	2	0	0	1	2	0
60-64	7	0	0	0	0	1	2	0	0	1	0	0	3	0
65+	14	0	0	0	0	3	3	6	0	1	0	1	0	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	151	5	19	26	19	36	21	11	7	1	2	0	4	0
15-19	4	0	0	0	0	3	1	0	0	0	0	0	0	0
20-24	25	0	0	0	0	9	7	4	5	0	0	0	0	0
25-29	15	0	0	0	0	6	1	3	1	0	2	0	2	0
30-34	22	0	1	3	8	4	4	1	0	0	0	0	1	0
35-39	27	1	5	3	4	8	4	1	0	0	0	0	1	0
40-44	11	0	4	2	2	1	1	0	1	0	0	0	0	0
45-49	15	1	2	5	1	4	1	1	0	0	0	0	0	0
50-54	7	0	2	4	0	0	0	1	0	0	0	0	0	0
55-59	8	0	2	2	2	1	1	0	0	0	0	0	0	0
60-64	4	1	1	2	0	0	0	0	0	0	0	0	0	0
65+	13	2	2	5	2	0	1	0	0	1	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Kudahuvadhoo
Both Sexes	792	28	59	63	61	120	68	79	49	50	34	40	131	10
15-19	18	0	2	5	2	4	3	1	0	0	0	0	0	1
20-24	61	0	0	0	0	13	8	14	9	7	6	4	0	0
25-29	91	0	0	0	1	13	8	5	7	9	14	12	22	0
30-34	89	0	10	8	6	13	6	5	5	3	4	9	20	0
35-39	105	0	13	12	12	10	11	7	6	7	1	5	21	0
40-44	118	10	11	9	9	21	10	11	7	7	2	4	17	0
45-49	87	4	4	8	6	16	10	9	8	5	2	2	13	0
50-54	46	1	4	5	3	3	4	7	3	5	2	1	8	0
55-59	33	2	0	3	6	8	0	1	3	3	2	1	4	0
60-64	27	2	2	3	6	3	2	2	0	0	0	2	5	0
65+	108	9	13	10	10	16	6	17	1	4	1	0	21	0
Not Stated	9	0	0	0	0	0	0	0	0	0	0	0	0	9
Male	350	1	7	14	11	19	36	48	32	33	15	25	103	6
15-19	9	0	1	4	1	1	1	0	0	0	0	0	0	1
20-24	18	0	0	0	0	0	0	6	4	3	3	2	0	0
25-29	35	0	0	0	1	0	3	3	5	0	4	5	14	0
30-34	29	0	1	0	1	1	2	2	1	1	1	4	15	0
35-39	51	0	1	1	1	3	8	3	5	7	1	5	16	0
40-44	44	1	0	0	1	2	8	7	5	6	0	3	11	0
45-49	45	0	0	0	2	2	6	8	6	4	2	2	13	0
50-54	27	0	1	1	0	1	3	4	2	5	1	1	8	0
55-59	17	0	0	1	0	2	0	1	3	3	2	1	4	0
60-64	9	0	0	1	0	0	1	1	0	0	0	2	4	0
65+	61	0	3	6	4	7	4	13	1	4	1	0	18	0
Not Stated	5	0	0	0	0	0	0	0	0	0	0	0	0	5
Female	442	27	52	49	50	101	32	31	17	17	19	15	28	4
15-19	9	0	1	1	1	3	2	1	0	0	0	0	0	0
20-24	43	0	0	0	0	13	8	8	5	4	3	2	0	0
25-29	56	0	0	0	0	13	5	2	2	9	10	7	8	0
30-34	60	0	9	8	5	12	4	3	4	2	3	5	5	0
35-39	54	0	12	11	11	7	3	4	1	0	0	0	5	0
40-44	74	9	11	9	8	19	2	4	2	1	2	1	6	0
45-49	42	4	4	8	4	14	4	1	2	1	0	0	0	0
50-54	19	1	3	4	3	2	1	3	1	0	1	0	0	0
55-59	16	2	0	2	6	6	0	0	0	0	0	0	0	0
60-64	18	2	2	2	6	3	1	1	0	0	0	0	1	0
65+	47	9	10	4	6	9	2	4	0	0	0	0	3	0
Not Stated	4	0	0	0	0	0	0	0	0	0	0	0	0	4
Resorts
Both Sexes	136	0	1	7	6	12	7	11	12	15	9	9	44	3
15-19	2	0	0	0	0	2	0	0	0	0	0	0	0	0
20-24	8	0	0	0	0	0	1	1	2	2	1	1	0	0
25-29	17	0	0	0	0	1	0	1	2	1	2	4	6	0
30-34	33	0	0	0	0	1	2	1	4	4	2	1	18	0
35-39	27	0	0	1	2	2	2	1	3	4	2	0	10	0
40-44	25	0	0	4	1	4	1	3	1	3	2	3	3	0
45-49	12	0	0	2	2	0	1	3	0	0	0	0	4	0
50-54	2	0	0	0	0	1	0	0	0	0	0	0	1	0
55-59	3	0	1	0	1	0	0	0	0	0	0	0	1	0
60-64	1	0	0	0	0	1	0	0	0	0	0	0	0	0
65+	3	0	0	0	0	0	0	1	0	1	0	0	1	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Male	135	0	1	7	6	11	7	11	12	15	9	9	44	3
15-19	2	0	0	0	0	2	0	0	0	0	0	0	0	0
20-24	8	0	0	0	0	0	1	1	2	2	1	1	0	0
25-29	16	0	0	0	0	0	0	1	2	1	2	4	6	0
30-34	33	0	0	0	0	1	2	1	4	4	2	1	18	0
35-39	27	0	0	1	2	2	2	1	3	4	2	0	10	0
40-44	25	0	0	4	1	4	1	3	1	3	2	3	3	0
45-49	12	0	0	2	2	0	1	3	0	0	0	0	4	0
50-54	2	0	0	0	0	1	0	0	0	0	0	0	1	0
55-59	3	0	1	0	1	0	0	0	0	0	0	0	1	0
60-64	1	0	0	0	0	1	0	0	0	0	0	0	0	0
65+	3	0	0	0	0	0	0	1	0	1	0	0	1	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Female	1	0	0	0	0	1	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	1	0	0	0	0	1	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
Industrial and Other Islands
Both Sexes	6	0	0	0	1	4	0	0	0	0	0	0	1	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	0	0	1	0	0	0	0	0	0	0	0	0
40-44	1	0	0	0	0	0	0	0	0	0	0	0	1	0
45-49	0	0	0	0	0	0	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	2	0	0	0	0	2	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	1	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	6	0	0	0	1	4	0	0	0	0	0	0	1	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	0	0	1	0	0	0	0	0	0	0	0	0
40-44	1	0	0	0	0	0	0	0	0	0	0	0	1	0
45-49	0	0	0	0	0	0	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	2	0	0	0	0	2	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	1	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