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)
Faadhippolhu (Lh)
Both Sexes 4,324 101 295 260 257 799 345 452 245 251 200 176 894 49
Hinnavaru 1,278 36 105 81 83 273 131 141 71 55 63 37 192 10
Naifaru 1,778 35 115 118 106 294 122 170 91 115 74 78 431 29
Kurendhoo 512 19 46 31 38 133 37 51 25 25 17 14 72 4
Olhuvelifushi 162 0 13 11 14 39 19 23 9 11 3 7 10 3
Maafilaafushi 79 9 7 6 3 14 1 12 3 3 6 1 12 2
Resorts 298 1 5 8 8 20 25 29 22 24 24 28 103 1
Industrial and Other Islands 217 1 4 5 5 26 10 26 24 18 13 11 74 0
Male 2,111 16 55 68 72 203 141 253 142 154 126 107 740 34
Hinnavaru 485 7 25 20 20 55 41 64 35 21 34 15 142 6
Naifaru 835 7 13 27 27 71 49 86 40 67 38 42 343 25
Kurendhoo 203 0 10 4 9 24 14 30 13 16 14 8 60 1
Olhuvelifushi 59 0 0 3 1 6 4 15 7 9 2 4 8 0
Maafilaafushi 41 0 1 1 3 7 0 6 3 3 5 0 11 1
Resorts 292 1 5 8 8 19 25 27 22 23 23 27 103 1
Industrial and Other Islands 196 1 1 5 4 21 8 25 22 15 10 11 73 0
Female 2,213 85 240 192 185 596 204 199 103 97 74 69 154 15
Hinnavaru 793 29 80 61 63 218 90 77 36 34 29 22 50 4
Naifaru 943 28 102 91 79 223 73 84 51 48 36 36 88 4
Kurendhoo 309 19 36 27 29 109 23 21 12 9 3 6 12 3
Olhuvelifushi 103 0 13 8 13 33 15 8 2 2 1 3 2 3
Maafilaafushi 38 9 6 5 0 7 1 6 0 0 1 1 1 1
Resorts 6 0 0 0 0 1 0 2 0 1 1 1 0 0
Industrial and Other Islands 21 0 3 0 1 5 2 1 2 3 3 0 1 0
Faadhippolhu (Lh)
Both Sexes 4,324 101 295 260 257 799 345 452 245 251 200 176 894 49
15-19 104 0 3 11 14 32 22 7 0 0 0 0 0 15
20-24 403 0 0 0 0 87 52 79 69 48 48 19 1 0
25-29 513 0 7 0 8 113 31 42 32 37 46 64 133 0
30-34 514 0 31 28 39 72 46 32 30 24 24 26 162 0
35-39 611 1 46 41 47 97 49 49 30 35 33 22 161 0
40-44 558 21 38 43 47 114 48 46 26 25 13 15 122 0
45-49 502 23 45 36 40 109 43 58 17 29 13 4 85 0
50-54 223 7 10 22 12 51 15 23 17 13 5 7 41 0
55-59 159 9 9 13 13 28 11 23 8 9 2 6 28 0
60-64 163 8 26 11 10 29 6 15 3 6 3 3 43 0
65+ 540 32 80 55 27 67 22 78 13 25 13 10 118 0
Not Stated  34 0 0 0 0 0 0 0 0 0 0 0 0 34
Male 2,111 16 55 68 72 203 141 253 142 154 126 107 740 34
15-19 45 0 0 8 8 6 11 5 0 0 0 0 0 7
20-24 124 0 0 0 0 8 4 24 26 20 29 12 1 0
25-29 217 0 1 0 0 8 5 16 14 18 22 34 99 0
30-34 246 0 3 2 5 11 18 18 19 14 14 11 131 0
35-39 284 0 0 8 6 23 20 24 20 20 20 14 129 0
40-44 283 1 5 10 12 33 25 32 18 21 10 13 103 0
45-49 266 3 5 6 14 43 28 41 15 18 12 4 77 0
50-54 126 1 1 5 5 15 9 16 13 11 5 5 40 0
55-59 88 2 2 3 3 11 5 16 6 9 2 4 25 0
60-64 97 1 10 4 3 13 4 10 3 5 3 3 38 0
65+ 308 8 28 22 16 32 12 51 8 18 9 7 97 0
Not Stated  27 0 0 0 0 0 0 0 0 0 0 0 0 27
Female 2,213 85 240 192 185 596 204 199 103 97 74 69 154 15
15-19 59 0 3 3 6 26 11 2 0 0 0 0 0 8
20-24 279 0 0 0 0 79 48 55 43 28 19 7 0 0
25-29 296 0 6 0 8 105 26 26 18 19 24 30 34 0
30-34 268 0 28 26 34 61 28 14 11 10 10 15 31 0
35-39 327 1 46 33 41 74 29 25 10 15 13 8 32 0
40-44 275 20 33 33 35 81 23 14 8 4 3 2 19 0
45-49 236 20 40 30 26 66 15 17 2 11 1 0 8 0
50-54 97 6 9 17 7 36 6 7 4 2 0 2 1 0
55-59 71 7 7 10 10 17 6 7 2 0 0 2 3 0
60-64 66 7 16 7 7 16 2 5 0 1 0 0 5 0
65+ 232 24 52 33 11 35 10 27 5 7 4 3 21 0
Not Stated  7 0 0 0 0 0 0 0 0 0 0 0 0 7
Hinnavaru
Both Sexes 1,278 36 105 81 83 273 131 141 71 55 63 37 192 10
15-19 29 0 2 4 3 6 8 1 0 0 0 0 0 5
20-24 100 0 0 0 0 10 15 24 19 14 15 3 0 0
25-29 144 0 1 0 2 28 8 15 13 13 17 12 35 0
30-34 152 0 11 8 6 30 22 12 11 5 6 8 33 0
35-39 200 0 16 14 17 38 22 13 8 12 11 7 42 0
40-44 166 6 14 13 15 52 19 12 4 5 4 2 20 0
45-49 146 7 18 9 12 42 18 14 5 3 3 0 15 0
50-54 82 5 4 9 5 29 7 8 6 0 2 2 5 0
55-59 43 4 3 2 5 9 6 6 3 0 1 1 3 0
60-64 44 2 6 5 5 9 1 6 0 1 2 0 7 0
65+ 167 12 30 17 13 20 5 30 2 2 2 2 32 0
Not Stated  5 0 0 0 0 0 0 0 0 0 0 0 0 5
Male 485 7 25 20 20 55 41 64 35 21 34 15 142 6
15-19 12 0 0 3 1 1 4 1 0 0 0 0 0 2
20-24 19 0 0 0 0 0 0 4 4 4 6 1 0 0
25-29 40 0 0 0 0 1 0 2 4 4 8 2 19 0
30-34 47 0 1 0 0 4 3 5 6 1 3 2 22 0
35-39 67 0 0 2 2 6 5 3 4 5 6 4 30 0
40-44 65 1 3 1 4 13 9 6 4 3 3 2 16 0
45-49 61 0 5 1 4 9 10 10 5 2 2 0 13 0
50-54 35 1 0 1 1 10 5 6 4 0 2 1 4 0
55-59 17 1 0 1 1 2 1 3 3 0 1 1 3 0
60-64 24 0 4 2 0 3 1 4 0 1 2 0 7 0
65+ 94 4 12 9 7 6 3 20 1 1 1 2 28 0
Not Stated  4 0 0 0 0 0 0 0 0 0 0 0 0 4
Female 793 29 80 61 63 218 90 77 36 34 29 22 50 4
15-19 17 0 2 1 2 5 4 0 0 0 0 0 0 3
20-24 81 0 0 0 0 10 15 20 15 10 9 2 0 0
25-29 104 0 1 0 2 27 8 13 9 9 9 10 16 0
30-34 105 0 10 8 6 26 19 7 5 4 3 6 11 0
35-39 133 0 16 12 15 32 17 10 4 7 5 3 12 0
40-44 101 5 11 12 11 39 10 6 0 2 1 0 4 0
45-49 85 7 13 8 8 33 8 4 0 1 1 0 2 0
50-54 47 4 4 8 4 19 2 2 2 0 0 1 1 0
55-59 26 3 3 1 4 7 5 3 0 0 0 0 0 0
60-64 20 2 2 3 5 6 0 2 0 0 0 0 0 0
65+ 73 8 18 8 6 14 2 10 1 1 1 0 4 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Naifaru
Both Sexes 1,778 35 115 118 106 294 122 170 91 115 74 78 431 29
15-19 51 0 1 4 8 22 7 4 0 0 0 0 0 5
20-24 169 0 0 0 0 44 19 31 28 22 15 9 1 0
25-29 170 0 4 0 1 36 11 13 10 13 13 26 43 0
30-34 167 0 11 12 15 16 13 6 8 6 9 10 61 0
35-39 231 0 20 23 19 27 14 16 12 10 12 9 69 0
40-44 251 9 14 17 24 33 17 20 14 12 6 8 77 0
45-49 242 11 16 21 23 47 18 25 5 21 5 0 50 0
50-54 80 1 3 5 5 14 4 8 3 9 3 4 21 0
55-59 61 1 2 4 3 13 2 9 3 3 1 3 17 0
60-64 55 2 7 3 1 8 4 4 1 1 0 2 22 0
65+ 277 11 37 29 7 34 13 34 7 18 10 7 70 0
Not Stated  24 0 0 0 0 0 0 0 0 0 0 0 0 24
Male 835 7 13 27 27 71 49 86 40 67 38 42 343 25
15-19 25 0 0 4 5 5 4 2 0 0 0 0 0 5
20-24 50 0 0 0 0 1 2 9 10 10 10 7 1 0
25-29 54 0 0 0 0 1 1 6 2 5 0 11 28 0
30-34 72 0 2 1 1 4 6 2 3 1 3 3 46 0
35-39 94 0 0 4 2 3 4 8 7 5 5 4 52 0
40-44 124 0 1 4 5 6 8 12 6 10 4 6 62 0
45-49 126 3 0 3 7 23 11 13 4 12 5 0 45 0
50-54 49 0 0 1 3 3 1 4 2 8 3 3 21 0
55-59 34 0 0 0 0 5 2 7 1 3 1 1 14 0
60-64 36 0 1 1 1 4 3 3 1 1 0 2 19 0
65+ 151 4 9 9 3 16 7 20 4 12 7 5 55 0
Not Stated  20 0 0 0 0 0 0 0 0 0 0 0 0 20
Female 943 28 102 91 79 223 73 84 51 48 36 36 88 4
15-19 26 0 1 0 3 17 3 2 0 0 0 0 0 0
20-24 119 0 0 0 0 43 17 22 18 12 5 2 0 0
25-29 116 0 4 0 1 35 10 7 8 8 13 15 15 0
30-34 95 0 9 11 14 12 7 4 5 5 6 7 15 0
35-39 137 0 20 19 17 24 10 8 5 5 7 5 17 0
40-44 127 9 13 13 19 27 9 8 8 2 2 2 15 0
45-49 116 8 16 18 16 24 7 12 1 9 0 0 5 0
50-54 31 1 3 4 2 11 3 4 1 1 0 1 0 0
55-59 27 1 2 4 3 8 0 2 2 0 0 2 3 0
60-64 19 2 6 2 0 4 1 1 0 0 0 0 3 0
65+ 126 7 28 20 4 18 6 14 3 6 3 2 15 0
Not Stated  4 0 0 0 0 0 0 0 0 0 0 0 0 4
Kurendhoo
Both Sexes 512 19 46 31 38 133 37 51 25 25 17 14 72 4
15-19 12 0 0 3 1 3 3 0 0 0 0 0 0 2
20-24 49 0 0 0 0 17 7 10 6 5 3 1 0 0
25-29 68 0 2 0 1 35 6 3 1 3 4 3 10 0
30-34 70 0 7 6 11 16 4 5 4 4 1 2 10 0
35-39 65 1 7 1 7 15 6 10 3 4 3 1 7 0
40-44 58 3 5 5 4 15 4 3 3 1 1 3 11 0
45-49 42 3 6 3 3 7 0 6 3 1 3 1 6 0
50-54 24 1 0 1 1 5 2 4 2 1 0 0 7 0
55-59 23 2 1 4 3 2 3 2 0 3 0 2 1 0
60-64 37 2 9 1 2 8 0 2 2 1 1 0 9 0
65+ 62 7 9 7 5 10 2 6 1 2 1 1 11 0
Not Stated  2 0 0 0 0 0 0 0 0 0 0 0 0 2
Male 203 0 10 4 9 24 14 30 13 16 14 8 60 1
15-19 3 0 0 1 1 0 1 0 0 0 0 0 0 0
20-24 8 0 0 0 0 2 0 4 0 0 2 0 0 0
25-29 17 0 1 0 0 1 1 1 0 1 4 1 7 0
30-34 18 0 0 0 0 1 2 2 3 4 0 0 6 0
35-39 25 0 0 0 0 2 5 5 2 3 2 1 5 0
40-44 26 0 0 0 1 3 0 3 3 1 1 3 11 0
45-49 22 0 0 0 1 2 0 6 2 1 3 1 6 0
50-54 13 0 0 0 0 0 2 3 1 0 0 0 7 0
55-59 11 0 0 0 1 1 2 1 0 3 0 2 1 0
60-64 21 0 4 0 1 4 0 1 2 1 1 0 7 0
65+ 38 0 5 3 4 8 1 4 0 2 1 0 10 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 309 19 36 27 29 109 23 21 12 9 3 6 12 3
15-19 9 0 0 2 0 3 2 0 0 0 0 0 0 2
20-24 41 0 0 0 0 15 7 6 6 5 1 1 0 0
25-29 51 0 1 0 1 34 5 2 1 2 0 2 3 0
30-34 52 0 7 6 11 15 2 3 1 0 1 2 4 0
35-39 40 1 7 1 7 13 1 5 1 1 1 0 2 0
40-44 32 3 5 5 3 12 4 0 0 0 0 0 0 0
45-49 20 3 6 3 2 5 0 0 1 0 0 0 0 0
50-54 11 1 0 1 1 5 0 1 1 1 0 0 0 0
55-59 12 2 1 4 2 1 1 1 0 0 0 0 0 0
60-64 16 2 5 1 1 4 0 1 0 0 0 0 2 0
65+ 24 7 4 4 1 2 1 2 1 0 0 1 1 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Olhuvelifushi
Both Sexes 162 0 13 11 14 39 19 23 9 11 3 7 10 3
15-19 8 0 0 0 2 1 2 0 0 0 0 0 0 3
20-24 26 0 0 0 0 7 7 4 2 2 3 1 0 0
25-29 22 0 0 0 4 5 3 1 0 3 0 4 2 0
30-34 19 0 1 0 3 7 1 1 1 2 0 1 2 0
35-39 21 0 1 1 1 6 3 6 1 0 0 0 2 0
40-44 11 0 2 3 2 3 0 1 0 0 0 0 0 0
45-49 13 0 3 1 0 2 0 4 2 0 0 0 1 0
50-54 11 0 2 3 0 1 1 0 2 2 0 0 0 0
55-59 7 0 0 1 1 3 0 1 1 0 0 0 0 0
60-64 11 0 3 1 1 1 1 2 0 1 0 1 0 0
65+ 13 0 1 1 0 3 1 3 0 1 0 0 3 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 59 0 0 3 1 6 4 15 7 9 2 4 8 0
15-19 2 0 0 0 1 0 1 0 0 0 0 0 0 0
20-24 5 0 0 0 0 0 0 1 0 2 2 0 0 0
25-29 7 0 0 0 0 0 0 0 0 3 0 2 2 0
30-34 7 0 0 0 0 0 1 1 1 1 0 1 2 0
35-39 11 0 0 1 0 1 2 4 1 0 0 0 2 0
40-44 2 0 0 0 0 1 0 1 0 0 0 0 0 0
45-49 5 0 0 0 0 0 0 3 2 0 0 0 0 0
50-54 4 0 0 0 0 0 0 0 2 2 0 0 0 0
55-59 4 0 0 0 0 2 0 1 1 0 0 0 0 0
60-64 3 0 0 1 0 0 0 1 0 0 0 1 0 0
65+ 9 0 0 1 0 2 0 3 0 1 0 0 2 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 103 0 13 8 13 33 15 8 2 2 1 3 2 3
15-19 6 0 0 0 1 1 1 0 0 0 0 0 0 3
20-24 21 0 0 0 0 7 7 3 2 0 1 1 0 0
25-29 15 0 0 0 4 5 3 1 0 0 0 2 0 0
30-34 12 0 1 0 3 7 0 0 0 1 0 0 0 0
35-39 10 0 1 0 1 5 1 2 0 0 0 0 0 0
40-44 9 0 2 3 2 2 0 0 0 0 0 0 0 0
45-49 8 0 3 1 0 2 0 1 0 0 0 0 1 0
50-54 7 0 2 3 0 1 1 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 8 0 3 0 1 1 1 1 0 1 0 0 0 0
65+ 4 0 1 0 0 1 1 0 0 0 0 0 1 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Maafilaafushi
Both Sexes 79 9 7 6 3 14 1 12 3 3 6 1 12 2
15-19 1 0 0 0 0 0 1 0 0 0 0 0 0 0
20-24 8 0 0 0 0 5 0 1 0 0 2 0 0 0
25-29 8 0 0 0 0 2 0 3 0 0 1 1 1 0
30-34 5 0 0 1 0 1 0 0 0 0 1 0 2 0
35-39 5 0 2 1 1 0 0 0 0 0 1 0 0 0
40-44 9 3 1 0 1 2 0 0 0 0 1 0 1 0
45-49 11 2 1 0 0 2 0 4 0 0 0 0 2 0
50-54 6 0 1 1 0 0 0 0 1 0 0 0 3 0
55-59 7 1 1 1 0 1 0 2 0 0 0 0 1 0
60-64 6 1 0 1 0 1 0 0 0 1 0 0 2 0
65+ 11 2 1 1 1 0 0 2 2 2 0 0 0 0
Not Stated  2 0 0 0 0 0 0 0 0 0 0 0 0 2
Male 41 0 1 1 3 7 0 6 3 3 5 0 11 1
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 4 0 0 0 0 2 0 0 0 0 2 0 0 0
25-29 1 0 0 0 0 0 0 0 0 0 0 0 1 0
30-34 3 0 0 0 0 1 0 0 0 0 1 0 1 0
35-39 2 0 0 0 1 0 0 0 0 0 1 0 0 0
40-44 5 0 0 0 1 2 0 0 0 0 1 0 1 0
45-49 6 0 0 0 0 0 0 4 0 0 0 0 2 0
50-54 5 0 1 0 0 0 0 0 1 0 0 0 3 0
55-59 4 0 0 1 0 1 0 1 0 0 0 0 1 0
60-64 4 0 0 0 0 1 0 0 0 1 0 0 2 0
65+ 6 0 0 0 1 0 0 1 2 2 0 0 0 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 38 9 6 5 0 7 1 6 0 0 1 1 1 1
15-19 1 0 0 0 0 0 1 0 0 0 0 0 0 0
20-24 4 0 0 0 0 3 0 1 0 0 0 0 0 0
25-29 7 0 0 0 0 2 0 3 0 0 1 1 0 0
30-34 2 0 0 1 0 0 0 0 0 0 0 0 1 0
35-39 3 0 2 1 0 0 0 0 0 0 0 0 0 0
40-44 4 3 1 0 0 0 0 0 0 0 0 0 0 0
45-49 5 2 1 0 0 2 0 0 0 0 0 0 0 0
50-54 1 0 0 1 0 0 0 0 0 0 0 0 0 0
55-59 3 1 1 0 0 0 0 1 0 0 0 0 0 0
60-64 2 1 0 1 0 0 0 0 0 0 0 0 0 0
65+ 5 2 1 1 0 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
Resorts
Both Sexes 298 1 5 8 8 20 25 29 22 24 24 28 103 1
15-19 3 0 0 0 0 0 1 2 0 0 0 0 0 0
20-24 30 0 0 0 0 3 2 2 8 4 6 5 0 0
25-29 65 0 0 0 0 1 3 4 4 2 8 14 29 0
30-34 65 0 0 1 3 1 5 5 3 6 4 2 35 0
35-39 47 0 0 1 1 3 2 3 3 7 3 3 21 0
40-44 35 0 1 3 1 4 8 6 1 3 1 1 6 0
45-49 25 0 0 1 2 6 4 2 1 1 2 2 4 0
50-54 14 0 0 2 0 2 0 3 2 0 0 1 4 0
55-59 6 0 1 0 1 0 0 2 0 0 0 0 2 0
60-64 5 1 1 0 0 0 0 0 0 1 0 0 2 0
65+ 2 0 2 0 0 0 0 0 0 0 0 0 0 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Male 292 1 5 8 8 19 25 27 22 23 23 27 103 1
15-19 3 0 0 0 0 0 1 2 0 0 0 0 0 0
20-24 25 0 0 0 0 2 2 0 8 4 5 4 0 0
25-29 65 0 0 0 0 1 3 4 4 2 8 14 29 0
30-34 65 0 0 1 3 1 5 5 3 6 4 2 35 0
35-39 46 0 0 1 1 3 2 3 3 6 3 3 21 0
40-44 35 0 1 3 1 4 8 6 1 3 1 1 6 0
45-49 25 0 0 1 2 6 4 2 1 1 2 2 4 0
50-54 14 0 0 2 0 2 0 3 2 0 0 1 4 0
55-59 6 0 1 0 1 0 0 2 0 0 0 0 2 0
60-64 5 1 1 0 0 0 0 0 0 1 0 0 2 0
65+ 2 0 2 0 0 0 0 0 0 0 0 0 0 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 6 0 0 0 0 1 0 2 0 1 1 1 0 0
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 5 0 0 0 0 1 0 2 0 0 1 1 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 0 0 0 0 0 1 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 217 1 4 5 5 26 10 26 24 18 13 11 74 0
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 21 0 0 0 0 1 2 7 6 1 4 0 0 0
25-29 36 0 0 0 0 6 0 3 4 3 3 4 13 0
30-34 36 0 1 0 1 1 1 3 3 1 3 3 19 0
35-39 42 0 0 0 1 8 2 1 3 2 3 2 20 0
40-44 28 0 1 2 0 5 0 4 4 4 0 1 7 0
45-49 23 0 1 1 0 3 3 3 1 3 0 1 7 0
50-54 6 0 0 1 1 0 1 0 1 1 0 0 1 0
55-59 12 1 1 1 0 0 0 1 1 3 0 0 4 0
60-64 5 0 0 0 1 2 0 1 0 0 0 0 1 0
65+ 8 0 0 0 1 0 1 3 1 0 0 0 2 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 196 1 1 5 4 21 8 25 22 15 10 11 73 0
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 13 0 0 0 0 1 0 6 4 0 2 0 0 0
25-29 33 0 0 0 0 4 0 3 4 3 2 4 13 0
30-34 34 0 0 0 1 0 1 3 3 1 3 3 19 0
35-39 39 0 0 0 0 8 2 1 3 1 3 2 19 0
40-44 26 0 0 2 0 4 0 4 4 4 0 1 7 0
45-49 21 0 0 1 0 3 3 3 1 2 0 1 7 0
50-54 6 0 0 1 1 0 1 0 1 1 0 0 1 0
55-59 12 1 1 1 0 0 0 1 1 3 0 0 4 0
60-64 4 0 0 0 1 1 0 1 0 0 0 0 1 0
65+ 8 0 0 0 1 0 1 3 1 0 0 0 2 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 21 0 3 0 1 5 2 1 2 3 3 0 1 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 1 2 1 2 0 0 0
25-29 3 0 0 0 0 2 0 0 0 0 1 0 0 0
30-34 2 0 1 0 0 1 0 0 0 0 0 0 0 0
35-39 3 0 0 0 1 0 0 0 0 1 0 0 1 0
40-44 2 0 1 0 0 1 0 0 0 0 0 0 0 0
45-49 2 0 1 0 0 0 0 0 0 1 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 1 0 0 0 0 1 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