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 Miladhunmadhulu (Sh)
Both Sexes	5,390	221	534	434	388	1,096	452	662	334	295	182	130	630	32
Kanditheemu	520	19	33	51	48	94	58	62	36	23	21	17	55	3
Noomaraa	177	11	33	25	14	24	10	20	7	4	2	5	20	2
Goidhoo	202	6	29	25	16	53	8	17	9	10	6	3	20	0
Feydhoo	319	5	63	33	22	64	22	32	16	18	5	11	28	0
Feevah	320	8	38	22	13	73	20	59	21	22	7	2	32	3
Bilehffahi	193	19	32	16	13	37	12	19	9	5	4	2	23	2
Foakaidhoo	505	38	55	35	37	102	46	63	33	29	9	14	39	5
Narudhoo	175	9	13	12	11	39	17	20	9	4	4	5	32	0
Maroshi	238	23	19	23	17	36	17	28	11	9	5	3	47	0
Lhaimagu	239	7	28	20	17	48	12	19	15	18	15	8	32	0
Firubaidhoo	598	16	21	29	58	122	55	85	45	44	39	15	69	0
Komandoo	346	24	51	24	17	62	31	47	19	18	14	10	27	2
Maaugoodhoo	733	14	53	60	53	120	67	87	54	54	33	18	113	7
Funadhoo	757	22	65	57	51	215	70	93	45	35	18	12	66	8
Milandhoo	68	0	1	2	1	7	7	11	5	2	0	5	27	0
Industrial and Other Islands	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	2,324	17	98	116	108	305	188	363	185	188	123	98	515	20
Kanditheemu	232	1	2	13	7	28	22	38	20	15	19	15	50	2
Noomaraa	59	0	1	7	8	6	2	10	4	2	1	4	14	0
Goidhoo	80	0	7	9	8	10	2	8	3	7	5	3	18	0
Feydhoo	136	0	23	11	5	19	12	17	6	15	3	6	19	0
Feevah	135	0	4	7	4	20	5	37	14	10	5	2	26	1
Bilehffahi	74	3	5	9	7	9	4	12	4	2	2	2	14	1
Foakaidhoo	217	5	12	13	12	34	24	23	19	23	6	11	31	4
Narudhoo	80	0	4	2	3	11	6	15	6	1	3	3	26	0
Maroshi	108	2	5	10	6	6	6	16	5	6	3	3	40	0
Lhaimagu	101	1	9	0	5	14	5	9	6	12	8	5	27	0
Komandoo	259	2	5	4	11	43	30	38	25	22	21	8	50	0
Maaugoodhoo	148	0	6	6	5	19	15	30	7	11	13	8	26	2
Funadhoo	330	1	5	8	11	29	27	51	33	35	18	13	95	4
Milandhoo	298	2	9	15	15	50	21	48	28	25	16	11	52	6
Industrial and Other Islands	67	0	1	2	1	7	7	11	5	2	0	4	27	0
Female	3,066	204	436	318	280	791	264	299	149	107	59	32	115	12
Kanditheemu	288	18	31	38	41	66	36	24	16	8	2	2	5	1
Noomaraa	118	11	32	18	6	18	8	10	3	2	1	1	6	2
Goidhoo	122	6	22	16	8	43	6	9	6	3	1	0	2	0
Feydhoo	183	5	40	22	17	45	10	15	10	3	2	5	9	0
Feevah	185	8	34	15	9	53	15	22	7	12	2	0	6	2
Bilehffahi	119	16	27	7	6	28	8	7	5	3	2	0	9	1
Foakaidhoo	288	33	43	22	25	68	22	40	14	6	3	3	8	1
Narudhoo	95	9	9	10	8	28	11	5	3	3	1	2	6	0
Maroshi	130	21	14	13	11	30	11	12	6	3	2	0	7	0
Lhaimagu	138	6	19	20	12	34	7	10	9	6	7	3	5	0
Komandoo	339	14	16	25	47	79	25	47	20	22	18	7	19	0
Maaugoodhoo	198	24	45	18	12	43	16	17	12	7	1	2	1	0
Funadhoo	403	13	48	52	42	91	40	36	21	19	15	5	18	3
Milandhoo	459	20	56	42	36	165	49	45	17	10	2	1	14	2
Industrial and Other Islands	1	0	0	0	0	0	0	0	0	0	0	1	0	0
North Miladhunmadhulu (Sh)
Both Sexes	5,390	221	534	434	388	1,096	452	662	334	295	182	130	630	32
15-19	142	0	4	21	20	49	31	3	0	0	0	0	0	14
20-24	577	0	0	0	0	170	108	100	90	57	42	8	2	0
25-29	731	0	12	5	7	219	65	93	70	75	53	42	90	0
30-34	708	0	75	68	66	96	56	73	56	36	28	26	128	0
35-39	686	0	87	67	83	131	66	59	38	43	18	16	78	0
40-44	568	45	61	61	60	99	49	58	24	39	15	8	49	0
45-49	496	54	61	67	49	92	26	65	16	9	8	5	44	0
50-54	312	23	45	35	30	67	12	41	11	9	5	2	32	0
55-59	244	23	45	27	14	36	8	24	7	14	3	5	38	0
60-64	259	25	37	29	16	44	12	37	8	4	1	3	43	0
65+	647	51	106	54	43	93	19	109	14	9	9	15	125	0
Not Stated	20	0	1	0	0	0	0	0	0	0	0	0	1	18
Male	2,324	17	98	116	108	305	188	363	185	188	123	98	515	20
15-19	52	0	2	12	11	8	10	3	0	0	0	0	0	6
20-24	122	0	0	0	0	7	9	21	30	22	27	6	0	0
25-29	254	0	0	1	1	17	14	32	31	37	28	29	64	0
30-34	277	0	0	5	6	17	20	33	31	27	20	16	102	0
35-39	309	0	9	15	12	37	43	41	27	32	15	12	66	0
40-44	255	3	7	9	13	41	34	37	18	33	13	6	41	0
45-49	234	7	8	15	19	48	22	46	14	8	6	5	36	0
50-54	152	1	10	9	10	37	8	26	10	8	5	2	26	0
55-59	125	1	11	10	4	18	7	16	5	13	2	5	33	0
60-64	140	2	9	6	11	25	7	29	6	2	1	3	39	0
65+	389	3	42	34	21	50	14	79	13	6	6	14	107	0
Not Stated	15	0	0	0	0	0	0	0	0	0	0	0	1	14
Female	3,066	204	436	318	280	791	264	299	149	107	59	32	115	12
15-19	90	0	2	9	9	41	21	0	0	0	0	0	0	8
20-24	455	0	0	0	0	163	99	79	60	35	15	2	2	0
25-29	477	0	12	4	6	202	51	61	39	38	25	13	26	0
30-34	431	0	75	63	60	79	36	40	25	9	8	10	26	0
35-39	377	0	78	52	71	94	23	18	11	11	3	4	12	0
40-44	313	42	54	52	47	58	15	21	6	6	2	2	8	0
45-49	262	47	53	52	30	44	4	19	2	1	2	0	8	0
50-54	160	22	35	26	20	30	4	15	1	1	0	0	6	0
55-59	119	22	34	17	10	18	1	8	2	1	1	0	5	0
60-64	119	23	28	23	5	19	5	8	2	2	0	0	4	0
65+	258	48	64	20	22	43	5	30	1	3	3	1	18	0
Not Stated	5	0	1	0	0	0	0	0	0	0	0	0	0	4
Kanditheemu
Both Sexes	520	19	33	51	48	94	58	62	36	23	21	17	55	3
15-19	24	0	0	8	2	7	4	1	0	0	0	0	0	2
20-24	71	0	0	0	0	10	17	15	16	9	3	1	0	0
25-29	75	0	0	0	3	27	9	5	8	3	5	6	9	0
30-34	67	0	0	7	8	11	7	7	6	4	5	2	10	0
35-39	75	0	8	5	9	15	8	4	3	4	6	3	10	0
40-44	49	4	3	7	10	6	5	6	1	2	1	0	4	0
45-49	32	2	1	9	4	4	1	9	0	0	0	1	1	0
50-54	22	3	4	5	1	4	2	2	0	0	0	0	1	0
55-59	29	4	6	1	3	3	0	3	0	1	1	0	7	0
60-64	21	4	2	3	2	1	4	3	0	0	0	0	2	0
65+	54	2	9	6	6	6	1	7	2	0	0	4	11	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	232	1	2	13	7	28	22	38	20	15	19	15	50	2
15-19	14	0	0	6	1	2	2	1	0	0	0	0	0	2
20-24	16	0	0	0	0	0	0	3	6	5	2	0	0	0
25-29	27	0	0	0	0	1	2	2	4	1	4	5	8	0
30-34	32	0	0	0	0	3	1	4	5	2	5	2	10	0
35-39	40	0	0	1	0	5	7	3	2	4	6	3	9	0
40-44	24	0	0	1	1	4	4	6	1	2	1	0	4	0
45-49	16	1	0	1	1	3	1	7	0	0	0	1	1	0
50-54	8	0	0	0	0	3	2	2	0	0	0	0	1	0
55-59	14	0	1	1	0	2	0	3	0	1	1	0	5	0
60-64	10	0	0	1	2	1	2	2	0	0	0	0	2	0
65+	31	0	1	2	2	4	1	5	2	0	0	4	10	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	288	18	31	38	41	66	36	24	16	8	2	2	5	1
15-19	10	0	0	2	1	5	2	0	0	0	0	0	0	0
20-24	55	0	0	0	0	10	17	12	10	4	1	1	0	0
25-29	48	0	0	0	3	26	7	3	4	2	1	1	1	0
30-34	35	0	0	7	8	8	6	3	1	2	0	0	0	0
35-39	35	0	8	4	9	10	1	1	1	0	0	0	1	0
40-44	25	4	3	6	9	2	1	0	0	0	0	0	0	0
45-49	16	1	1	8	3	1	0	2	0	0	0	0	0	0
50-54	14	3	4	5	1	1	0	0	0	0	0	0	0	0
55-59	15	4	5	0	3	1	0	0	0	0	0	0	2	0
60-64	11	4	2	2	0	0	2	1	0	0	0	0	0	0
65+	23	2	8	4	4	2	0	2	0	0	0	0	1	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Noomaraa
Both Sexes	177	11	33	25	14	24	10	20	7	4	2	5	20	2
15-19	9	0	0	2	2	2	1	0	0	0	0	0	0	2
20-24	28	0	0	0	0	10	6	5	3	1	0	3	0	0
25-29	23	0	2	1	1	5	1	1	2	2	1	1	6	0
30-34	23	0	8	3	1	2	1	4	0	0	1	0	3	0
35-39	17	0	6	5	1	1	1	0	1	1	0	0	1	0
40-44	9	0	3	4	0	0	0	2	0	0	0	0	0	0
45-49	19	4	5	4	2	3	0	0	1	0	0	0	0	0
50-54	13	2	4	1	2	0	0	3	0	0	0	0	1	0
55-59	9	1	2	2	1	0	0	0	0	0	0	1	2	0
60-64	8	1	1	1	0	0	0	1	0	0	0	0	4	0
65+	19	3	2	2	4	1	0	4	0	0	0	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	59	0	1	7	8	6	2	10	4	2	1	4	14	0
15-19	4	0	0	2	1	1	0	0	0	0	0	0	0	0
20-24	6	0	0	0	0	0	0	2	1	1	0	2	0	0
25-29	8	0	0	0	0	0	0	0	1	1	0	1	5	0
30-34	5	0	0	0	0	0	1	1	0	0	1	0	2	0
35-39	5	0	0	1	0	1	1	0	1	0	0	0	1	0
40-44	2	0	0	1	0	0	0	1	0	0	0	0	0	0
45-49	6	0	1	0	1	3	0	0	1	0	0	0	0	0
50-54	5	0	0	1	2	0	0	2	0	0	0	0	0	0
55-59	3	0	0	1	1	0	0	0	0	0	0	1	0	0
60-64	4	0	0	0	0	0	0	1	0	0	0	0	3	0
65+	11	0	0	1	3	1	0	3	0	0	0	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	118	11	32	18	6	18	8	10	3	2	1	1	6	2
15-19	5	0	0	0	1	1	1	0	0	0	0	0	0	2
20-24	22	0	0	0	0	10	6	3	2	0	0	1	0	0
25-29	15	0	2	1	1	5	1	1	1	1	1	0	1	0
30-34	18	0	8	3	1	2	0	3	0	0	0	0	1	0
35-39	12	0	6	4	1	0	0	0	0	1	0	0	0	0
40-44	7	0	3	3	0	0	0	1	0	0	0	0	0	0
45-49	13	4	4	4	1	0	0	0	0	0	0	0	0	0
50-54	8	2	4	0	0	0	0	1	0	0	0	0	1	0
55-59	6	1	2	1	0	0	0	0	0	0	0	0	2	0
60-64	4	1	1	1	0	0	0	0	0	0	0	0	1	0
65+	8	3	2	1	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	202	6	29	25	16	53	8	17	9	10	6	3	20	0
15-19	5	0	0	1	2	1	1	0	0	0	0	0	0	0
20-24	24	0	0	0	0	11	2	5	4	1	1	0	0	0
25-29	33	0	1	0	0	19	3	2	1	3	3	0	1	0
30-34	22	0	3	3	2	3	0	3	2	2	0	1	3	0
35-39	14	0	2	0	2	2	2	1	0	2	1	1	1	0
40-44	14	2	0	5	1	1	0	2	0	0	0	0	3	0
45-49	23	3	5	4	5	1	0	0	0	0	1	1	3	0
50-54	19	1	6	3	1	5	0	1	0	0	0	0	2	0
55-59	9	0	3	3	0	1	0	0	0	1	0	0	1	0
60-64	7	0	2	2	0	0	0	1	1	0	0	0	1	0
65+	32	0	7	4	3	9	0	2	1	1	0	0	5	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	80	0	7	9	8	10	2	8	3	7	5	3	18	0
15-19	2	0	0	1	1	0	0	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	9	0	0	0	0	0	1	2	0	2	3	0	1	0
30-34	11	0	0	0	1	1	0	2	2	1	0	1	3	0
35-39	7	0	0	0	0	0	1	1	0	2	1	1	1	0
40-44	4	0	0	1	0	0	0	1	0	0	0	0	2	0
45-49	10	0	1	0	3	1	0	0	0	0	1	1	3	0
50-54	8	0	2	2	1	1	0	0	0	0	0	0	2	0
55-59	5	0	1	1	0	1	0	0	0	1	0	0	1	0
60-64	1	0	0	0	0	0	0	0	0	0	0	0	1	0
65+	22	0	3	4	2	6	0	1	1	1	0	0	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	122	6	22	16	8	43	6	9	6	3	1	0	2	0
15-19	3	0	0	0	1	1	1	0	0	0	0	0	0	0
20-24	23	0	0	0	0	11	2	4	4	1	1	0	0	0
25-29	24	0	1	0	0	19	2	0	1	1	0	0	0	0
30-34	11	0	3	3	1	2	0	1	0	1	0	0	0	0
35-39	7	0	2	0	2	2	1	0	0	0	0	0	0	0
40-44	10	2	0	4	1	1	0	1	0	0	0	0	1	0
45-49	13	3	4	4	2	0	0	0	0	0	0	0	0	0
50-54	11	1	4	1	0	4	0	1	0	0	0	0	0	0
55-59	4	0	2	2	0	0	0	0	0	0	0	0	0	0
60-64	6	0	2	2	0	0	0	1	1	0	0	0	0	0
65+	10	0	4	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
Feydhoo
Both Sexes	319	5	63	33	22	64	22	32	16	18	5	11	28	0
15-19	4	0	0	0	1	2	1	0	0	0	0	0	0	0
20-24	38	0	0	0	0	11	8	6	5	4	2	1	1	0
25-29	44	0	0	1	0	15	2	5	8	2	2	2	7	0
30-34	36	0	3	4	5	4	2	0	1	5	0	5	7	0
35-39	37	0	11	4	5	6	1	3	0	3	0	0	4	0
40-44	28	1	7	5	1	4	3	1	0	2	1	1	2	0
45-49	28	1	6	7	1	4	3	5	0	1	0	0	0	0
50-54	25	0	6	3	3	5	1	3	2	0	0	1	1	0
55-59	23	1	9	3	4	3	0	0	0	0	0	1	2	0
60-64	18	0	9	1	2	3	0	3	0	0	0	0	0	0
65+	38	2	12	5	0	7	1	6	0	1	0	0	4	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	136	0	23	11	5	19	12	17	6	15	3	6	19	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	8	0	0	0	0	0	2	0	1	3	1	1	0	0
25-29	15	0	0	0	0	1	0	2	3	2	1	1	5	0
30-34	13	0	0	0	0	1	1	0	1	4	0	2	4	0
35-39	13	0	3	2	1	0	1	1	0	2	0	0	3	0
40-44	14	0	2	2	0	2	3	1	0	2	1	0	1	0
45-49	11	0	1	2	0	2	3	2	0	1	0	0	0	0
50-54	13	0	3	1	0	3	1	2	1	0	0	1	1	0
55-59	12	0	3	2	2	2	0	0	0	0	0	1	2	0
60-64	11	0	3	0	2	3	0	3	0	0	0	0	0	0
65+	26	0	8	2	0	5	1	6	0	1	0	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	183	5	40	22	17	45	10	15	10	3	2	5	9	0
15-19	4	0	0	0	1	2	1	0	0	0	0	0	0	0
20-24	30	0	0	0	0	11	6	6	4	1	1	0	1	0
25-29	29	0	0	1	0	14	2	3	5	0	1	1	2	0
30-34	23	0	3	4	5	3	1	0	0	1	0	3	3	0
35-39	24	0	8	2	4	6	0	2	0	1	0	0	1	0
40-44	14	1	5	3	1	2	0	0	0	0	0	1	1	0
45-49	17	1	5	5	1	2	0	3	0	0	0	0	0	0
50-54	12	0	3	2	3	2	0	1	1	0	0	0	0	0
55-59	11	1	6	1	2	1	0	0	0	0	0	0	0	0
60-64	7	0	6	1	0	0	0	0	0	0	0	0	0	0
65+	12	2	4	3	0	2	0	0	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Feevah
Both Sexes	320	8	38	22	13	73	20	59	21	22	7	2	32	3
15-19	5	0	0	1	0	3	1	0	0	0	0	0	0	0
20-24	35	0	0	0	0	13	5	6	4	5	2	0	0	0
25-29	45	0	1	1	1	13	3	5	6	10	2	0	3	0
30-34	39	0	1	5	2	5	4	9	4	3	0	0	6	0
35-39	33	0	4	1	6	5	0	3	3	1	1	0	9	0
40-44	32	3	7	3	1	4	3	3	2	2	0	2	2	0
45-49	28	0	8	1	0	3	1	7	1	1	1	0	5	0
50-54	18	1	3	1	2	3	1	6	0	0	1	0	0	0
55-59	18	0	5	1	0	5	1	5	0	0	0	0	1	0
60-64	20	2	1	1	0	7	1	6	0	0	0	0	2	0
65+	44	2	8	7	1	12	0	9	1	0	0	0	4	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Male	135	0	4	7	4	20	5	37	14	10	5	2	26	1
15-19	2	0	0	1	0	1	0	0	0	0	0	0	0	0
20-24	6	0	0	0	0	1	0	2	1	1	1	0	0	0
25-29	20	0	0	1	0	3	0	2	5	5	1	0	3	0
30-34	17	0	0	0	2	0	2	4	3	1	0	0	5	0
35-39	12	0	0	0	1	2	0	1	1	0	1	0	6	0
40-44	14	0	2	0	1	0	1	2	2	2	0	2	2	0
45-49	15	0	2	1	0	0	1	5	1	1	1	0	3	0
50-54	7	0	0	0	0	2	0	4	0	0	1	0	0	0
55-59	8	0	0	0	0	2	1	4	0	0	0	0	1	0
60-64	13	0	0	0	0	5	0	6	0	0	0	0	2	0
65+	20	0	0	4	0	4	0	7	1	0	0	0	4	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	185	8	34	15	9	53	15	22	7	12	2	0	6	2
15-19	3	0	0	0	0	2	1	0	0	0	0	0	0	0
20-24	29	0	0	0	0	12	5	4	3	4	1	0	0	0
25-29	25	0	1	0	1	10	3	3	1	5	1	0	0	0
30-34	22	0	1	5	0	5	2	5	1	2	0	0	1	0
35-39	21	0	4	1	5	3	0	2	2	1	0	0	3	0
40-44	18	3	5	3	0	4	2	1	0	0	0	0	0	0
45-49	13	0	6	0	0	3	0	2	0	0	0	0	2	0
50-54	11	1	3	1	2	1	1	2	0	0	0	0	0	0
55-59	10	0	5	1	0	3	0	1	0	0	0	0	0	0
60-64	7	2	1	1	0	2	1	0	0	0	0	0	0	0
65+	24	2	8	3	1	8	0	2	0	0	0	0	0	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Bilehffahi
Both Sexes	193	19	32	16	13	37	12	19	9	5	4	2	23	2
15-19	6	0	0	1	1	2	1	0	0	0	0	0	0	1
20-24	20	0	0	0	0	6	3	4	4	0	2	1	0	0
25-29	24	0	1	0	0	6	4	3	0	4	1	1	4	0
30-34	25	0	10	2	1	3	1	1	1	0	0	0	6	0
35-39	14	0	2	2	2	4	1	1	1	0	0	0	1	0
40-44	24	2	4	3	4	2	0	2	3	1	0	0	3	0
45-49	19	4	2	1	1	6	1	1	0	0	1	0	2	0
50-54	12	2	0	1	1	2	0	4	0	0	0	0	2	0
55-59	10	1	5	1	1	2	0	0	0	0	0	0	0	0
60-64	10	3	3	2	0	1	1	0	0	0	0	0	0	0
65+	28	7	5	3	2	3	0	3	0	0	0	0	5	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	74	3	5	9	7	9	4	12	4	2	2	2	14	1
15-19	2	0	0	1	1	0	0	0	0	0	0	0	0	0
20-24	3	0	0	0	0	0	0	1	1	0	0	1	0	0
25-29	10	0	0	0	0	0	2	1	0	2	1	1	3	0
30-34	6	0	0	1	0	0	1	0	0	0	0	0	4	0
35-39	5	0	0	0	1	1	1	1	1	0	0	0	0	0
40-44	9	0	1	0	2	1	0	2	2	0	0	0	1	0
45-49	6	0	0	1	0	2	0	1	0	0	1	0	1	0
50-54	9	0	0	1	1	2	0	3	0	0	0	0	2	0
55-59	3	1	1	1	0	0	0	0	0	0	0	0	0	0
60-64	4	2	0	1	0	1	0	0	0	0	0	0	0	0
65+	16	0	3	3	2	2	0	3	0	0	0	0	3	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	119	16	27	7	6	28	8	7	5	3	2	0	9	1
15-19	4	0	0	0	0	2	1	0	0	0	0	0	0	1
20-24	17	0	0	0	0	6	3	3	3	0	2	0	0	0
25-29	14	0	1	0	0	6	2	2	0	2	0	0	1	0
30-34	19	0	10	1	1	3	0	1	1	0	0	0	2	0
35-39	9	0	2	2	1	3	0	0	0	0	0	0	1	0
40-44	15	2	3	3	2	1	0	0	1	1	0	0	2	0
45-49	13	4	2	0	1	4	1	0	0	0	0	0	1	0
50-54	3	2	0	0	0	0	0	1	0	0	0	0	0	0
55-59	7	0	4	0	1	2	0	0	0	0	0	0	0	0
60-64	6	1	3	1	0	0	1	0	0	0	0	0	0	0
65+	12	7	2	0	0	1	0	0	0	0	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Foakaidhoo
Both Sexes	505	38	55	35	37	102	46	63	33	29	9	14	39	5
15-19	11	0	0	1	1	6	1	0	0	0	0	0	0	2
20-24	62	0	0	0	0	16	11	18	8	5	4	0	0	0
25-29	70	0	0	0	1	22	8	14	5	4	3	5	8	0
30-34	75	0	8	5	5	8	9	8	10	10	1	2	9	0
35-39	63	0	13	6	15	9	4	4	2	1	1	1	7	0
40-44	49	10	5	2	2	11	6	2	3	3	0	2	3	0
45-49	47	5	8	10	5	10	2	3	1	0	0	1	2	0
50-54	30	4	3	4	5	7	0	2	3	1	0	0	1	0
55-59	17	3	2	2	1	2	3	1	0	3	0	0	0	0
60-64	19	3	3	2	1	5	0	1	0	1	0	1	2	0
65+	59	13	13	3	1	6	2	10	1	1	0	2	7	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Male	217	5	12	13	12	34	24	23	19	23	6	11	31	4
15-19	3	0	0	0	1	0	1	0	0	0	0	0	0	1
20-24	13	0	0	0	0	1	1	2	3	3	3	0	0	0
25-29	22	0	0	0	1	2	2	3	3	1	2	3	5	0
30-34	32	0	0	1	0	3	5	2	3	9	1	1	7	0
35-39	28	0	2	1	5	3	4	4	2	1	0	1	5	0
40-44	28	1	0	0	1	9	5	1	3	3	0	2	3	0
45-49	19	1	1	4	1	5	2	2	1	0	0	1	1	0
50-54	14	0	1	2	2	4	0	0	3	1	0	0	1	0
55-59	10	0	1	1	0	1	3	1	0	3	0	0	0	0
60-64	9	0	0	1	1	3	0	0	0	1	0	1	2	0
65+	36	3	7	3	0	3	1	8	1	1	0	2	7	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	0	3
Female	288	33	43	22	25	68	22	40	14	6	3	3	8	1
15-19	8	0	0	1	0	6	0	0	0	0	0	0	0	1
20-24	49	0	0	0	0	15	10	16	5	2	1	0	0	0
25-29	48	0	0	0	0	20	6	11	2	3	1	2	3	0
30-34	43	0	8	4	5	5	4	6	7	1	0	1	2	0
35-39	35	0	11	5	10	6	0	0	0	0	1	0	2	0
40-44	21	9	5	2	1	2	1	1	0	0	0	0	0	0
45-49	28	4	7	6	4	5	0	1	0	0	0	0	1	0
50-54	16	4	2	2	3	3	0	2	0	0	0	0	0	0
55-59	7	3	1	1	1	1	0	0	0	0	0	0	0	0
60-64	10	3	3	1	0	2	0	1	0	0	0	0	0	0
65+	23	10	6	0	1	3	1	2	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Narudhoo
Both Sexes	175	9	13	12	11	39	17	20	9	4	4	5	32	0
15-19	4	0	0	0	1	1	2	0	0	0	0	0	0	0
20-24	15	0	0	0	0	6	2	1	3	2	1	0	0	0
25-29	21	0	0	0	0	5	1	3	3	2	0	3	4	0
30-34	24	0	2	2	2	4	6	2	1	0	1	0	4	0
35-39	27	0	2	4	3	7	5	2	1	0	1	1	1	0
40-44	21	2	1	2	1	9	0	3	1	0	1	0	1	0
45-49	8	2	0	1	0	1	0	1	0	0	0	0	3	0
50-54	8	0	0	1	0	3	0	0	0	0	0	0	4	0
55-59	9	2	4	0	1	0	0	0	0	0	0	0	2	0
60-64	10	0	1	2	1	1	1	2	0	0	0	0	2	0
65+	28	3	3	0	2	2	0	6	0	0	0	1	11	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	80	0	4	2	3	11	6	15	6	1	3	3	26	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	10	0	0	0	0	1	0	2	2	1	0	1	3	0
30-34	9	0	0	0	0	1	2	2	1	0	0	0	3	0
35-39	15	0	0	2	2	3	3	2	1	0	1	1	0	0
40-44	9	0	0	0	0	3	0	3	1	0	1	0	1	0
45-49	4	0	0	0	0	1	0	0	0	0	0	0	3	0
50-54	4	0	0	0	0	0	0	0	0	0	0	0	4	0
55-59	3	0	2	0	0	0	0	0	0	0	0	0	1	0
60-64	4	0	0	0	0	0	1	1	0	0	0	0	2	0
65+	20	0	2	0	1	2	0	5	0	0	0	1	9	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	95	9	9	10	8	28	11	5	3	3	1	2	6	0
15-19	4	0	0	0	1	1	2	0	0	0	0	0	0	0
20-24	13	0	0	0	0	6	2	1	2	2	0	0	0	0
25-29	11	0	0	0	0	4	1	1	1	1	0	2	1	0
30-34	15	0	2	2	2	3	4	0	0	0	1	0	1	0
35-39	12	0	2	2	1	4	2	0	0	0	0	0	1	0
40-44	12	2	1	2	1	6	0	0	0	0	0	0	0	0
45-49	4	2	0	1	0	0	0	1	0	0	0	0	0	0
50-54	4	0	0	1	0	3	0	0	0	0	0	0	0	0
55-59	6	2	2	0	1	0	0	0	0	0	0	0	1	0
60-64	6	0	1	2	1	1	0	1	0	0	0	0	0	0
65+	8	3	1	0	1	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
Maroshi
Both Sexes	238	23	19	23	17	36	17	28	11	9	5	3	47	0
15-19	3	0	0	0	1	2	0	0	0	0	0	0	0	0
20-24	12	0	0	0	0	4	5	1	1	1	0	0	0	0
25-29	17	0	2	0	1	4	2	1	0	1	1	1	4	0
30-34	23	0	1	2	3	3	0	2	1	1	1	0	9	0
35-39	33	0	1	2	3	9	4	2	2	3	0	2	5	0
40-44	34	4	3	4	3	3	3	4	2	2	2	0	4	0
45-49	28	4	2	3	3	3	1	6	2	0	1	0	3	0
50-54	15	2	3	2	1	2	1	0	2	0	0	0	2	0
55-59	12	3	0	0	0	2	0	2	0	0	0	0	5	0
60-64	21	3	1	5	0	3	0	2	0	1	0	0	6	0
65+	40	7	6	5	2	1	1	8	1	0	0	0	9	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	108	2	5	10	6	6	6	16	5	6	3	3	40	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	5	0	0	0	0	0	0	0	0	1	0	1	3	0
30-34	7	0	0	0	0	0	0	1	0	0	0	0	6	0
35-39	13	0	0	0	0	0	3	1	0	2	0	2	5	0
40-44	14	0	0	1	2	2	1	0	1	2	2	0	3	0
45-49	14	1	1	1	2	0	1	5	1	0	1	0	1	0
50-54	7	1	1	0	0	1	0	0	2	0	0	0	2	0
55-59	8	0	0	0	0	1	0	2	0	0	0	0	5	0
60-64	13	0	0	3	0	2	0	1	0	1	0	0	6	0
65+	27	0	3	5	2	0	1	6	1	0	0	0	9	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	130	21	14	13	11	30	11	12	6	3	2	0	7	0
15-19	3	0	0	0	1	2	0	0	0	0	0	0	0	0
20-24	12	0	0	0	0	4	5	1	1	1	0	0	0	0
25-29	12	0	2	0	1	4	2	1	0	0	1	0	1	0
30-34	16	0	1	2	3	3	0	1	1	1	1	0	3	0
35-39	20	0	1	2	3	9	1	1	2	1	0	0	0	0
40-44	20	4	3	3	1	1	2	4	1	0	0	0	1	0
45-49	14	3	1	2	1	3	0	1	1	0	0	0	2	0
50-54	8	1	2	2	1	1	1	0	0	0	0	0	0	0
55-59	4	3	0	0	0	1	0	0	0	0	0	0	0	0
60-64	8	3	1	2	0	1	0	1	0	0	0	0	0	0
65+	13	7	3	0	0	1	0	2	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Lhaimagu
Both Sexes	239	7	28	20	17	48	12	19	15	18	15	8	32	0
15-19	2	0	0	0	0	0	2	0	0	0	0	0	0	0
20-24	15	0	0	0	0	5	2	1	3	2	2	0	0	0
25-29	30	0	0	0	0	11	2	2	3	2	5	2	3	0
30-34	33	0	3	3	3	5	2	2	4	1	2	2	6	0
35-39	31	0	4	7	4	2	1	2	2	2	3	1	3	0
40-44	30	1	3	3	4	7	2	2	0	2	3	0	3	0
45-49	17	2	2	1	2	2	1	1	0	2	0	1	3	0
50-54	16	1	1	2	1	4	0	3	1	2	0	0	1	0
55-59	11	0	1	4	0	1	0	2	0	3	0	0	0	0
60-64	18	1	4	0	1	4	0	2	0	1	0	1	4	0
65+	35	2	9	0	2	7	0	2	2	1	0	1	9	0
Not Stated	1	0	1	0	0	0	0	0	0	0	0	0	0	0
Male	101	1	9	0	5	14	5	9	6	12	8	5	27	0
15-19	1	0	0	0	0	0	1	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	8	0	0	0	0	1	0	0	1	0	2	1	3	0
30-34	8	0	0	0	1	0	1	0	1	1	1	1	2	0
35-39	13	0	0	0	0	2	1	2	1	1	2	1	3	0
40-44	15	0	0	0	2	3	1	2	0	2	2	0	3	0
45-49	11	1	0	0	1	1	1	1	0	2	0	1	3	0
50-54	6	0	0	0	0	1	0	1	1	2	0	0	1	0
55-59	5	0	0	0	0	1	0	1	0	3	0	0	0	0
60-64	11	0	4	0	0	1	0	1	0	0	0	1	4	0
65+	21	0	5	0	1	4	0	1	1	1	0	0	8	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	138	6	19	20	12	34	7	10	9	6	7	3	5	0
15-19	1	0	0	0	0	0	1	0	0	0	0	0	0	0
20-24	13	0	0	0	0	5	2	1	2	2	1	0	0	0
25-29	22	0	0	0	0	10	2	2	2	2	3	1	0	0
30-34	25	0	3	3	2	5	1	2	3	0	1	1	4	0
35-39	18	0	4	7	4	0	0	0	1	1	1	0	0	0
40-44	15	1	3	3	2	4	1	0	0	0	1	0	0	0
45-49	6	1	2	1	1	1	0	0	0	0	0	0	0	0
50-54	10	1	1	2	1	3	0	2	0	0	0	0	0	0
55-59	6	0	1	4	0	0	0	1	0	0	0	0	0	0
60-64	7	1	0	0	1	3	0	1	0	1	0	0	0	0
65+	14	2	4	0	1	3	0	1	1	0	0	1	1	0
Not Stated	1	0	1	0	0	0	0	0	0	0	0	0	0	0
Komandoo
Both Sexes	598	16	21	29	58	122	55	85	45	44	39	15	69	0
15-19	14	0	1	3	2	4	2	2	0	0	0	0	0	0
20-24	55	0	0	0	0	10	6	7	13	9	8	1	1	0
25-29	65	0	0	0	0	5	4	11	10	11	12	5	7	0
30-34	70	0	2	2	8	13	4	10	6	1	5	4	15	0
35-39	103	0	2	4	12	23	15	11	7	13	3	3	10	0
40-44	89	3	2	5	13	22	14	12	4	3	5	0	6	0
45-49	76	7	5	4	13	21	6	7	2	3	2	0	6	0
50-54	28	2	1	3	3	7	1	3	1	1	1	0	5	0
55-59	16	1	2	1	0	3	0	4	0	1	2	0	2	0
60-64	27	1	3	3	1	5	3	5	2	0	1	0	3	0
65+	55	2	3	4	6	9	0	13	0	2	0	2	14	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	259	2	5	4	11	43	30	38	25	22	21	8	50	0
15-19	6	0	0	0	1	2	1	2	0	0	0	0	0	0
20-24	18	0	0	0	0	2	0	2	6	2	5	1	0	0
25-29	19	0	0	0	0	1	0	2	3	3	4	3	3	0
30-34	22	0	0	0	0	1	1	2	3	1	2	2	10	0
35-39	51	0	2	1	0	4	10	6	7	10	2	0	9	0
40-44	36	0	0	1	2	7	10	7	1	1	4	0	3	0
45-49	39	2	1	0	5	11	5	4	2	3	1	0	5	0
50-54	14	0	0	0	0	5	1	2	1	1	1	0	3	0
55-59	7	0	0	1	0	1	0	1	0	1	1	0	2	0
60-64	17	0	1	0	1	4	2	3	2	0	1	0	3	0
65+	30	0	1	1	2	5	0	7	0	0	0	2	12	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	339	14	16	25	47	79	25	47	20	22	18	7	19	0
15-19	8	0	1	3	1	2	1	0	0	0	0	0	0	0
20-24	37	0	0	0	0	8	6	5	7	7	3	0	1	0
25-29	46	0	0	0	0	4	4	9	7	8	8	2	4	0
30-34	48	0	2	2	8	12	3	8	3	0	3	2	5	0
35-39	52	0	0	3	12	19	5	5	0	3	1	3	1	0
40-44	53	3	2	4	11	15	4	5	3	2	1	0	3	0
45-49	37	5	4	4	8	10	1	3	0	0	1	0	1	0
50-54	14	2	1	3	3	2	0	1	0	0	0	0	2	0
55-59	9	1	2	0	0	2	0	3	0	0	1	0	0	0
60-64	10	1	2	3	0	1	1	2	0	0	0	0	0	0
65+	25	2	2	3	4	4	0	6	0	2	0	0	2	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Maaugoodhoo
Both Sexes	346	24	51	24	17	62	31	47	19	18	14	10	27	2
15-19	2	0	0	0	0	0	1	0	0	0	0	0	0	1
20-24	30	0	0	0	0	8	3	7	7	3	2	0	0	0
25-29	50	0	2	0	0	20	3	7	4	4	3	5	2	0
30-34	58	0	13	7	6	5	8	7	1	1	4	2	4	0
35-39	53	0	11	6	3	10	6	7	3	4	0	1	2	0
40-44	27	3	5	2	2	3	0	3	1	3	1	1	3	0
45-49	34	11	3	5	0	0	3	4	1	0	0	0	7	0
50-54	20	1	1	1	4	7	0	4	0	1	0	0	1	0
55-59	17	3	3	3	0	1	2	2	0	1	0	1	1	0
60-64	20	3	3	0	1	3	1	3	2	1	0	0	3	0
65+	34	3	10	0	1	5	4	3	0	0	4	0	4	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	148	0	6	6	5	19	15	30	7	11	13	8	26	2
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	6	0	0	0	0	0	1	2	1	1	1	0	0	0
25-29	14	0	0	0	0	0	1	2	0	3	3	4	1	0
30-34	22	0	0	2	1	2	2	4	1	1	4	1	4	0
35-39	26	0	1	1	1	7	3	6	1	3	0	1	2	0
40-44	11	0	0	0	0	1	0	1	1	3	1	1	3	0
45-49	14	0	0	2	0	0	1	3	1	0	0	0	7	0
50-54	13	0	1	0	2	5	0	4	0	0	0	0	1	0
55-59	9	0	1	1	0	1	2	2	0	0	0	1	1	0
60-64	10	0	0	0	0	1	1	3	2	0	0	0	3	0
65+	21	0	3	0	1	2	4	3	0	0	4	0	4	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	198	24	45	18	12	43	16	17	12	7	1	2	1	0
15-19	1	0	0	0	0	0	1	0	0	0	0	0	0	0
20-24	24	0	0	0	0	8	2	5	6	2	1	0	0	0
25-29	36	0	2	0	0	20	2	5	4	1	0	1	1	0
30-34	36	0	13	5	5	3	6	3	0	0	0	1	0	0
35-39	27	0	10	5	2	3	3	1	2	1	0	0	0	0
40-44	16	3	5	2	2	2	0	2	0	0	0	0	0	0
45-49	20	11	3	3	0	0	2	1	0	0	0	0	0	0
50-54	7	1	0	1	2	2	0	0	0	1	0	0	0	0
55-59	8	3	2	2	0	0	0	0	0	1	0	0	0	0
60-64	10	3	3	0	1	2	0	0	0	1	0	0	0	0
65+	13	3	7	0	0	3	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Funadhoo
Both Sexes	733	14	53	60	53	120	67	87	54	54	33	18	113	7
15-19	16	0	0	1	3	5	2	0	0	0	0	0	0	5
20-24	70	0	0	0	0	13	16	15	10	7	9	0	0	0
25-29	109	0	2	1	0	17	10	13	10	18	12	4	22	0
30-34	117	0	9	16	10	13	8	10	11	6	4	4	26	0
35-39	97	0	9	9	10	18	8	11	10	6	1	2	13	0
40-44	78	6	7	8	8	8	7	6	5	11	1	1	10	0
45-49	55	4	7	4	5	11	4	8	2	1	1	1	7	0
50-54	39	0	6	3	4	8	3	5	1	2	2	1	4	0
55-59	29	1	1	3	3	8	1	1	2	3	0	2	4	0
60-64	28	0	1	5	2	5	0	4	2	0	0	1	8	0
65+	92	3	11	10	8	14	8	14	1	0	3	2	18	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	1	2
Male	330	1	5	8	11	29	27	51	33	35	18	13	95	4
15-19	5	0	0	0	1	0	2	0	0	0	0	0	0	2
20-24	17	0	0	0	0	0	1	5	3	2	6	0	0	0
25-29	39	0	0	0	0	1	1	4	4	8	4	3	14	0
30-34	52	0	0	0	1	2	3	7	6	5	3	2	23	0
35-39	42	0	0	2	0	3	4	8	8	4	1	1	11	0
40-44	42	1	1	0	2	3	5	4	5	10	1	0	10	0
45-49	28	0	0	1	1	6	4	5	2	1	0	1	7	0
50-54	22	0	1	0	1	5	2	3	1	2	2	1	4	0
55-59	15	0	0	0	1	3	0	0	2	3	0	2	4	0
60-64	15	0	0	0	1	2	0	4	1	0	0	1	6	0
65+	50	0	3	5	3	4	5	11	1	0	1	2	15	0
Not Stated	3	0	0	0	0	0	0	0	0	0	0	0	1	2
Female	403	13	48	52	42	91	40	36	21	19	15	5	18	3
15-19	11	0	0	1	2	5	0	0	0	0	0	0	0	3
20-24	53	0	0	0	0	13	15	10	7	5	3	0	0	0
25-29	70	0	2	1	0	16	9	9	6	10	8	1	8	0
30-34	65	0	9	16	9	11	5	3	5	1	1	2	3	0
35-39	55	0	9	7	10	15	4	3	2	2	0	1	2	0
40-44	36	5	6	8	6	5	2	2	0	1	0	1	0	0
45-49	27	4	7	3	4	5	0	3	0	0	1	0	0	0
50-54	17	0	5	3	3	3	1	2	0	0	0	0	0	0
55-59	14	1	1	3	2	5	1	1	0	0	0	0	0	0
60-64	13	0	1	5	1	3	0	0	1	0	0	0	2	0
65+	42	3	8	5	5	10	3	3	0	0	2	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Milandhoo
Both Sexes	757	22	65	57	51	215	70	93	45	35	18	12	66	8
15-19	37	0	3	3	4	14	12	0	0	0	0	0	0	1
20-24	100	0	0	0	0	47	22	9	8	7	6	1	0	0
25-29	113	0	1	1	0	48	11	20	10	9	3	2	8	0
30-34	86	0	12	7	10	17	4	8	7	2	4	4	11	0
35-39	80	0	12	11	8	19	10	6	2	3	1	1	7	0
40-44	76	4	11	7	10	17	5	8	2	7	0	1	4	0
45-49	75	5	7	13	8	21	2	11	5	1	1	0	1	0
50-54	42	4	6	5	2	10	1	5	1	2	1	0	5	0
55-59	28	3	2	3	0	5	0	3	5	1	0	0	6	0
60-64	29	4	3	2	4	6	1	3	0	0	0	0	6	0
65+	84	2	8	5	5	11	2	20	5	3	2	3	18	0
Not Stated	7	0	0	0	0	0	0	0	0	0	0	0	0	7
Male	298	2	9	15	15	50	21	48	28	25	16	11	52	6
15-19	12	0	2	1	4	2	3	0	0	0	0	0	0	0
20-24	22	0	0	0	0	3	4	1	4	3	6	1	0	0
25-29	37	0	0	0	0	4	3	9	5	7	3	1	5	0
30-34	31	0	0	1	0	3	0	4	4	2	3	4	10	0
35-39	30	0	1	3	1	5	4	3	1	3	1	1	7	0
40-44	25	1	1	1	0	4	3	4	1	5	0	1	4	0
45-49	34	1	0	2	4	11	2	9	4	0	1	0	0	0
50-54	17	0	0	2	1	5	0	3	1	2	1	0	2	0
55-59	16	0	1	1	0	3	0	1	3	1	0	0	6	0
60-64	15	0	1	0	3	2	1	3	0	0	0	0	5	0
65+	53	0	3	4	2	8	1	11	5	2	1	3	13	0
Not Stated	6	0	0	0	0	0	0	0	0	0	0	0	0	6
Female	459	20	56	42	36	165	49	45	17	10	2	1	14	2
15-19	25	0	1	2	0	12	9	0	0	0	0	0	0	1
20-24	78	0	0	0	0	44	18	8	4	4	0	0	0	0
25-29	76	0	1	1	0	44	8	11	5	2	0	1	3	0
30-34	55	0	12	6	10	14	4	4	3	0	1	0	1	0
35-39	50	0	11	8	7	14	6	3	1	0	0	0	0	0
40-44	51	3	10	6	10	13	2	4	1	2	0	0	0	0
45-49	41	4	7	11	4	10	0	2	1	1	0	0	1	0
50-54	25	4	6	3	1	5	1	2	0	0	0	0	3	0
55-59	12	3	1	2	0	2	0	2	2	0	0	0	0	0
60-64	14	4	2	2	1	4	0	0	0	0	0	0	1	0
65+	31	2	5	1	3	3	1	9	0	1	1	0	5	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Industrial and Other Islands
Both Sexes	68	0	0	2	0	4	2	5	1	0	0	1	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	6	0	0	0	0	1	2	1	0	0	0	1	1	0
30-34	2	0	0	0	0	0	0	0	0	0	0	0	2	0
35-39	3	0	0	1	0	0	0	1	1	0	0	0	0	0
40-44	4	0	0	1	0	2	0	1	0	0	0	0	0	0
45-49	2	0	0	0	0	1	0	1	0	0	0	0	0	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	67	0	1	2	1	7	7	11	5	2	0	4	27	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	1	0	0	0	0
25-29	11	0	0	0	0	2	2	1	0	0	0	4	2	0
30-34	10	0	0	0	0	0	0	0	1	0	0	0	9	0
35-39	9	0	0	1	0	1	0	2	1	0	0	0	4	0
40-44	8	0	0	1	0	2	1	2	0	1	0	0	1	0
45-49	7	0	0	0	0	2	1	2	1	0	0	0	1	0
50-54	5	0	1	0	0	0	2	0	0	0	0	0	2	0
55-59	7	0	0	0	0	0	1	1	0	0	0	0	5	0
60-64	3	0	0	0	1	0	0	1	1	0	0	0	0	0
65+	5	0	0	0	0	0	0	2	0	0	0	0	3	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	1	0	0	0	0	0	0	0	0	0	0	1	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	0	0	0	0	0	0	1	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