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 Thiladhunmathi (HDh)
Both Sexes 7,320 270 683 604 565 1,323 625 839 493 397 275 227 944 75
Faridhoo 54 0 10 6 1 6 9 10 1 1 0 1 9 0
Hanimaadhoo 559 40 53 38 28 102 32 49 33 35 24 24 94 7
Finey 147 7 30 15 7 32 11 16 9 2 3 3 11 1
Naivaadhoo 176 4 16 9 17 32 24 25 9 9 5 5 21 0
Hirimaradhoo 164 2 20 8 11 31 10 26 16 8 6 6 20 0
Nolhivaranfaru 143 4 10 10 12 24 12 23 8 8 2 7 23 0
Nellaidhoo 351 9 35 26 18 61 42 64 32 15 12 10 25 2
Nolhivaramu 628 28 61 53 66 126 61 56 55 33 23 13 45 8
Kuribi 195 9 20 20 10 55 4 15 4 7 7 7 35 2
Kuburudhoo 54 2 2 1 7 8 9 6 1 1 4 1 12 0
Kulhudhuffushi 3,018 100 210 241 241 484 266 347 207 184 138 100 465 35
Kumundhoo 393 5 39 54 34 86 36 52 14 14 12 11 29 7  
Neykurendhoo 362 13 61 28 30 60 26 46 25 16 6 9 35 7
Vaikaradhoo  421 20 40 26 20 91 34 37 38 28 12 14 59 2
Maavaidhoo 111 7 24 12 10 14 8 5 7 3 7 2 11 1
Makunudhoo 530 20 52 57 52 108 41 59 33 32 14 14 45 3
Industrial and Other Islands 14 0 0 0 1 3 0 3 1 1 0 0 5 0
Male 2,969 23 79 107 134 325 238 405 267 237 163 160 787 44
Faridhoo 21 0 1 2 0 1 3 5 0 1 0 0 8 0
Hanimaadhoo 260 8 6 8 6 28 18 27 19 22 19 23 71 5
Finey 53 1 8 4 3 7 7 7 2 1 3 0 9 1
Naivaadhoo 59 0 5 3 3 8 5 8 5 6 1 2 13 0
Hirimaradhoo 64 0 4 1 3 6 5 9 8 6 3 4 15 0
Nolhivaranfaru 54 1 2 0 2 4 4 7 6 4 1 5 18 0
Nellaidhoo 133 0 3 5 3 9 14 35 20 6 7 8 22 1
Nolhivaramu 235 2 10 8 25 37 25 19 29 20 14 6 35 5
Kuribi 86 1 1 2 1 11 2 11 3 6 6 7 34 1
Kuburudhoo 21 0 1 0 2 1 2 2 1 1 1 0 10 0
Kulhudhuffushi 1,259 7 20 36 47 108 98 164 110 109 78 68 399 15
Kumundhoo 147 0 4 14 9 15 14 28 7 4 9 9 27 7
Neykurendhoo 120 0 3 4 4 19 9 23 11 9 3 4 26 5
Vaikaradhoo  153 2 4 3 2 21 8 17 21 12 6 10 46 1
Maavaidhoo 43 0 5 2 6 4 3 3 3 2 2 2 10 1
Makunudhoo 248 1 2 15 18 43 21 37 21 27 10 12 39 2
Industrial and Other Islands 13 0 0 0 0 3 0 3 1 1 0 0 5 0
Female 4,351 247 604 497 431 998 387 434 226 160 112 67 157 31
Faridhoo 33 0 9 4 1 5 6 5 1 0 0 1 1 0
Hanimaadhoo 299 32 47 30 22 74 14 22 14 13 5 1 23 2
Finey 94 6 22 11 4 25 4 9 7 1 0 3 2 0
Naivaadhoo 117 4 11 6 14 24 19 17 4 3 4 3 8 0
Hirimaradhoo 100 2 16 7 8 25 5 17 8 2 3 2 5 0
Nolhivaranfaru 89 3 8 10 10 20 8 16 2 4 1 2 5 0
Nellaidhoo 218 9 32 21 15 52 28 29 12 9 5 2 3 1
Nolhivaramu 393 26 51 45 41 89 36 37 26 13 9 7 10 3
Kuribi 109 8 19 18 9 44 2 4 1 1 1 0 1 1
Kuburudhoo 33 2 1 1 5 7 7 4 0 0 3 1 2 0
Kulhudhuffushi 1,759 93 190 205 194 376 168 183 97 75 60 32 66 20
Kumundhoo 246 5 35 40 25 71 22 24 7 10 3 2 2 0
Neykurendhoo 242 13 58 24 26 41 17 23 14 7 3 5 9 2
Vaikaradhoo  268 18 36 23 18 70 26 20 17 16 6 4 13 1
Maavaidhoo 68 7 19 10 4 10 5 2 4 1 5 0 1 0
Makunudhoo 282 19 50 42 34 65 20 22 12 5 4 2 6 1
Industrial and Other Islands 1 0 0 0 1 0 0 0 0 0 0 0 0 0
South Thiladhunmathi (HDh)
Both Sexes 7,320 270 683 604 565 1,323 625 839 493 397 275 227 944 75
15-19 216 0 13 40 28 62 29 8 0 0 0 0 0 36
20-24 712 0 0 0 0 173 113 125 131 78 61 27 4 0
25-29 890 0 8 15 4 211 75 118 81 82 72 78 146 0
30-34 847 0 89 75 90 118 79 81 55 34 33 34 159 0
35-39 880 7 114 97 96 126 70 82 54 44 38 24 128 0
40-44 809 49 89 85 82 148 80 81 45 28 17 18 87 0
45-49 755 44 83 89 79 147 53 69 51 36 17 12 75 0
50-54 490 29 60 42 46 100 49 47 20 22 9 8 58 0
55-59 352 36 41 26 29 54 25 40 13 21 11 7 49 0
60-64 332 28 49 26 26 50 20 45 13 10 5 5 55 0
65+ 997 77 136 109 85 134 32 143 30 42 12 14 183 0
Not Stated  40 0 1 0 0 0 0 0 0 0 0 0 0 39
Male 2,969 23 79 107 134 325 238 405 267 237 163 160 787 44
15-19 101 0 5 22 20 17 8 7 0 0 0 0 0 22
20-24 141 0 0 0 0 7 13 21 36 23 23 14 4 0
25-29 279 0 1 1 0 12 15 22 21 28 37 43 99 0
30-34 325 0 2 4 9 22 22 34 31 26 18 25 132 0
35-39 338 0 4 6 12 22 32 40 36 33 25 17 111 0
40-44 325 6 11 7 9 39 41 47 40 21 15 17 72 0
45-49 341 1 11 16 23 57 27 45 40 30 12 12 67 0
50-54 231 3 9 9 12 34 35 29 18 17 8 7 50 0
55-59 171 2 5 5 3 26 15 24 12 18 9 7 45 0
60-64 162 4 6 5 9 19 15 31 11 7 5 5 45 0
65+ 533 7 25 32 37 70 15 105 22 34 11 13 162 0
Not Stated  22 0 0 0 0 0 0 0 0 0 0 0 0 22
Female 4,351 247 604 497 431 998 387 434 226 160 112 67 157 31
15-19 115 0 8 18 8 45 21 1 0 0 0 0 0 14
20-24 571 0 0 0 0 166 100 104 95 55 38 13 0 0
25-29 611 0 7 14 4 199 60 96 60 54 35 35 47 0
30-34 522 0 87 71 81 96 57 47 24 8 15 9 27 0
35-39 542 7 110 91 84 104 38 42 18 11 13 7 17 0
40-44 484 43 78 78 73 109 39 34 5 7 2 1 15 0
45-49 414 43 72 73 56 90 26 24 11 6 5 0 8 0
50-54 259 26 51 33 34 66 14 18 2 5 1 1 8 0
55-59 181 34 36 21 26 28 10 16 1 3 2 0 4 0
60-64 170 24 43 21 17 31 5 14 2 3 0 0 10 0
65+ 464 70 111 77 48 64 17 38 8 8 1 1 21 0
Not Stated  18 0 1 0 0 0 0 0 0 0 0 0 0 17
Faridhoo
Both Sexes 54 0 10 6 1 6 9 10 1 1 0 1 9 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 2 0 1 0 0 0 0 0
25-29 3 0 0 0 0 1 1 0 0 1 0 0 0 0
30-34 8 0 1 1 0 1 2 2 0 0 0 0 1 0
35-39 7 0 0 1 0 1 1 4 0 0 0 0 0 0
40-44 6 0 1 1 0 1 1 1 0 0 0 1 0 0
45-49 7 0 3 0 0 0 0 1 0 0 0 0 3 0
50-54 5 0 0 1 1 0 1 1 0 0 0 0 1 0
55-59 6 0 2 2 0 1 1 0 0 0 0 0 0 0
60-64 2 0 0 0 0 0 0 1 0 0 0 0 1 0
65+ 6 0 3 0 0 0 0 0 0 0 0 0 3 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 21 0 1 2 0 1 3 5 0 1 0 0 8 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 1 0 0 0 0
30-34 3 0 0 0 0 0 0 2 0 0 0 0 1 0
35-39 4 0 0 0 0 0 1 3 0 0 0 0 0 0
40-44 1 0 0 0 0 1 0 0 0 0 0 0 0 0
45-49 3 0 0 0 0 0 0 0 0 0 0 0 3 0
50-54 2 0 0 1 0 0 1 0 0 0 0 0 0 0
55-59 3 0 1 1 0 0 1 0 0 0 0 0 0 0
60-64 1 0 0 0 0 0 0 0 0 0 0 0 1 0
65+ 3 0 0 0 0 0 0 0 0 0 0 0 3 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 33 0 9 4 1 5 6 5 1 0 0 1 1 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 2 0 1 0 0 0 0 0
25-29 2 0 0 0 0 1 1 0 0 0 0 0 0 0
30-34 5 0 1 1 0 1 2 0 0 0 0 0 0 0
35-39 3 0 0 1 0 1 0 1 0 0 0 0 0 0
40-44 5 0 1 1 0 0 1 1 0 0 0 1 0 0
45-49 4 0 3 0 0 0 0 1 0 0 0 0 0 0
50-54 3 0 0 0 1 0 0 1 0 0 0 0 1 0
55-59 3 0 1 1 0 1 0 0 0 0 0 0 0 0
60-64 1 0 0 0 0 0 0 1 0 0 0 0 0 0
65+ 3 0 3 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
Hanimaadhoo
Both Sexes 559 40 53 38 28 102 32 49 33 35 24 24 94 7
15-19 7 0 0 2 1 3 0 0 0 0 0 0 0 1
20-24 52 0 0 0 0 20 8 6 10 4 2 2 0 0
25-29 70 0 2 1 0 21 4 6 3 5 4 7 17 0
30-34 84 0 16 7 7 13 1 9 4 2 3 6 16 0
35-39 60 0 8 4 5 10 4 1 2 5 3 3 15 0
40-44 55 8 3 4 3 8 3 5 4 3 3 3 8 0
45-49 51 4 3 2 6 7 2 3 6 6 2 1 9 0
50-54 40 5 7 3 1 9 4 3 1 1 3 0 3 0
55-59 39 5 4 2 1 5 4 3 2 4 2 2 5 0
60-64 19 2 3 3 3 1 1 3 0 0 0 0 3 0
65+ 76 16 7 10 1 5 1 10 1 5 2 0 18 0
Not Stated  6 0 0 0 0 0 0 0 0 0 0 0 0 6
Male 260 8 6 8 6 28 18 27 19 22 19 23 71 5
15-19 3 0 0 1 1 0 0 0 0 0 0 0 0 1
20-24 8 0 0 0 0 0 2 1 2 1 1 1 0 0
25-29 33 0 1 0 0 2 3 0 2 2 3 7 13 0
30-34 36 0 0 0 2 6 1 5 3 2 2 6 9 0
35-39 37 0 1 1 0 5 4 1 1 5 3 3 13 0
40-44 24 3 0 0 1 1 0 3 4 2 3 3 4 0
45-49 24 0 1 0 0 2 2 2 4 4 1 1 7 0
50-54 19 1 1 1 1 3 3 3 1 1 2 0 2 0
55-59 22 1 2 1 0 4 1 2 1 2 2 2 4 0
60-64 8 0 0 0 1 1 1 2 0 0 0 0 3 0
65+ 42 3 0 4 0 4 1 8 1 3 2 0 16 0
Not Stated  4 0 0 0 0 0 0 0 0 0 0 0 0 4
Female 299 32 47 30 22 74 14 22 14 13 5 1 23 2
15-19 4 0 0 1 0 3 0 0 0 0 0 0 0 0
20-24 44 0 0 0 0 20 6 5 8 3 1 1 0 0
25-29 37 0 1 1 0 19 1 6 1 3 1 0 4 0
30-34 48 0 16 7 5 7 0 4 1 0 1 0 7 0
35-39 23 0 7 3 5 5 0 0 1 0 0 0 2 0
40-44 31 5 3 4 2 7 3 2 0 1 0 0 4 0
45-49 27 4 2 2 6 5 0 1 2 2 1 0 2 0
50-54 21 4 6 2 0 6 1 0 0 0 1 0 1 0
55-59 17 4 2 1 1 1 3 1 1 2 0 0 1 0
60-64 11 2 3 3 2 0 0 1 0 0 0 0 0 0
65+ 34 13 7 6 1 1 0 2 0 2 0 0 2 0
Not Stated  2 0 0 0 0 0 0 0 0 0 0 0 0 2
Finey
Both Sexes 147 7 30 15 7 32 11 16 9 2 3 3 11 1
15-19 2 0 0 0 0 1 0 0 0 0 0 0 0 1
20-24 13 0 0 0 0 5 2 0 4 1 1 0 0 0
25-29 21 0 0 2 0 5 1 6 2 0 1 1 3 0
30-34 17 0 1 3 2 4 2 1 0 0 0 2 2 0
35-39 14 0 3 1 1 4 2 1 0 1 0 0 1 0
40-44 20 2 5 4 1 2 1 2 2 0 0 0 1 0
45-49 15 0 7 2 1 4 0 0 0 0 0 0 1 0
50-54 7 1 2 1 0 2 0 1 0 0 0 0 0 0
55-59 7 2 3 0 0 0 2 0 0 0 0 0 0 0
60-64 15 1 4 1 2 3 0 2 0 0 1 0 1 0
65+ 16 1 5 1 0 2 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 53 1 8 4 3 7 7 7 2 1 3 0 9 1
15-19 1 0 0 0 0 0 0 0 0 0 0 0 0 1
20-24 3 0 0 0 0 2 0 0 0 0 1 0 0 0
25-29 6 0 0 0 0 0 1 1 0 0 1 0 3 0
30-34 3 0 0 1 1 0 1 0 0 0 0 0 0 0
35-39 3 0 0 0 0 0 1 0 0 1 0 0 1 0
40-44 9 0 1 2 0 0 1 2 2 0 0 0 1 0
45-49 6 0 1 0 1 3 0 0 0 0 0 0 1 0
50-54 2 0 1 0 0 0 0 1 0 0 0 0 0 0
55-59 3 1 0 0 0 0 2 0 0 0 0 0 0 0
60-64 6 0 1 0 1 1 0 1 0 0 1 0 1 0
65+ 11 0 4 1 0 1 1 2 0 0 0 0 2 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 94 6 22 11 4 25 4 9 7 1 0 3 2 0
15-19 1 0 0 0 0 1 0 0 0 0 0 0 0 0
20-24 10 0 0 0 0 3 2 0 4 1 0 0 0 0
25-29 15 0 0 2 0 5 0 5 2 0 0 1 0 0
30-34 14 0 1 2 1 4 1 1 0 0 0 2 2 0
35-39 11 0 3 1 1 4 1 1 0 0 0 0 0 0
40-44 11 2 4 2 1 2 0 0 0 0 0 0 0 0
45-49 9 0 6 2 0 1 0 0 0 0 0 0 0 0
50-54 5 1 1 1 0 2 0 0 0 0 0 0 0 0
55-59 4 1 3 0 0 0 0 0 0 0 0 0 0 0
60-64 9 1 3 1 1 2 0 1 0 0 0 0 0 0
65+ 5 1 1 0 0 1 0 1 1 0 0 0 0 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Naivaadhoo
Both Sexes 176 4 16 9 17 32 24 25 9 9 5 5 21 0
15-19 4 0 1 1 1 0 1 0 0 0 0 0 0 0
20-24 8 0 0 0 0 1 2 2 1 1 0 1 0 0
25-29 18 0 0 0 0 2 3 3 3 1 2 1 3 0
30-34 28 0 1 2 4 7 7 2 0 1 1 0 3 0
35-39 13 0 0 0 1 3 3 0 1 1 1 2 1 0
40-44 21 1 3 3 1 3 3 4 3 0 0 0 0 0
45-49 20 0 4 1 2 4 1 4 0 1 0 0 3 0
50-54 9 1 1 0 2 1 3 0 0 0 0 0 1 0
55-59 13 0 0 1 2 3 0 3 0 2 1 0 1 0
60-64 16 1 1 0 2 3 1 3 1 1 0 0 3 0
65+ 26 1 5 1 2 5 0 4 0 1 0 1 6 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 59 0 5 3 3 8 5 8 5 6 1 2 13 0
15-19 3 0 1 1 1 0 0 0 0 0 0 0 0 0
20-24 2 0 0 0 0 0 0 0 1 0 0 1 0 0
25-29 1 0 0 0 0 0 0 0 0 1 0 0 0 0
30-34 3 0 0 0 0 0 1 0 0 0 1 0 1 0
35-39 4 0 0 0 0 0 2 0 0 1 0 0 1 0
40-44 6 0 1 0 0 0 0 2 3 0 0 0 0 0
45-49 10 0 1 1 0 3 0 2 0 1 0 0 2 0
50-54 3 0 0 0 1 0 1 0 0 0 0 0 1 0
55-59 4 0 0 0 0 2 0 0 0 1 0 0 1 0
60-64 8 0 0 0 0 0 1 3 1 1 0 0 2 0
65+ 15 0 2 1 1 3 0 1 0 1 0 1 5 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 117 4 11 6 14 24 19 17 4 3 4 3 8 0
15-19 1 0 0 0 0 0 1 0 0 0 0 0 0 0
20-24 6 0 0 0 0 1 2 2 0 1 0 0 0 0
25-29 17 0 0 0 0 2 3 3 3 0 2 1 3 0
30-34 25 0 1 2 4 7 6 2 0 1 0 0 2 0
35-39 9 0 0 0 1 3 1 0 1 0 1 2 0 0
40-44 15 1 2 3 1 3 3 2 0 0 0 0 0 0
45-49 10 0 3 0 2 1 1 2 0 0 0 0 1 0
50-54 6 1 1 0 1 1 2 0 0 0 0 0 0 0
55-59 9 0 0 1 2 1 0 3 0 1 1 0 0 0
60-64 8 1 1 0 2 3 0 0 0 0 0 0 1 0
65+ 11 1 3 0 1 2 0 3 0 0 0 0 1 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Hirimaradhoo
Both Sexes 164 2 20 8 11 31 10 26 16 8 6 6 20 0
15-19 1 0 0 0 1 0 0 0 0 0 0 0 0 0
20-24 9 0 0 0 0 1 0 3 3 1 1 0 0 0
25-29 19 0 0 0 0 2 1 4 4 2 0 4 2 0
30-34 28 0 1 1 1 9 4 5 2 0 1 0 4 0
35-39 23 0 2 0 1 3 1 5 1 0 3 2 5 0
40-44 15 0 3 0 3 4 2 1 0 0 0 0 2 0
45-49 14 0 1 1 1 2 0 2 5 1 1 0 0 0
50-54 14 1 1 3 2 4 1 0 0 0 0 0 2 0
55-59 7 0 3 0 0 2 1 1 0 0 0 0 0 0
60-64 15 1 4 1 2 2 0 1 0 2 0 0 2 0
65+ 19 0 5 2 0 2 0 4 1 2 0 0 3 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 64 0 4 1 3 6 5 9 8 6 3 4 15 0
15-19 1 0 0 0 1 0 0 0 0 0 0 0 0 0
20-24 3 0 0 0 0 0 0 0 2 1 0 0 0 0
25-29 5 0 0 0 0 0 0 0 0 1 0 3 1 0
30-34 11 0 0 0 0 1 1 3 2 0 1 0 3 0
35-39 8 0 0 0 0 0 1 1 1 0 1 1 3 0
40-44 3 0 0 0 0 0 1 0 0 0 0 0 2 0
45-49 4 0 0 0 0 0 0 0 2 1 1 0 0 0
50-54 5 0 0 0 0 2 1 0 0 0 0 0 2 0
55-59 2 0 0 0 0 1 1 0 0 0 0 0 0 0
60-64 9 0 2 0 2 1 0 1 0 1 0 0 2 0
65+ 13 0 2 1 0 1 0 4 1 2 0 0 2 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 100 2 16 7 8 25 5 17 8 2 3 2 5 0
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 6 0 0 0 0 1 0 3 1 0 1 0 0 0
25-29 14 0 0 0 0 2 1 4 4 1 0 1 1 0
30-34 17 0 1 1 1 8 3 2 0 0 0 0 1 0
35-39 15 0 2 0 1 3 0 4 0 0 2 1 2 0
40-44 12 0 3 0 3 4 1 1 0 0 0 0 0 0
45-49 10 0 1 1 1 2 0 2 3 0 0 0 0 0
50-54 9 1 1 3 2 2 0 0 0 0 0 0 0 0
55-59 5 0 3 0 0 1 0 1 0 0 0 0 0 0
60-64 6 1 2 1 0 1 0 0 0 1 0 0 0 0
65+ 6 0 3 1 0 1 0 0 0 0 0 0 1 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nolhivaranfaru
Both Sexes 143 4 10 10 12 24 12 23 8 8 2 7 23 0
15-19 3 0 0 1 1 0 1 0 0 0 0 0 0 0
20-24 7 0 0 0 0 0 0 6 1 0 0 0 0 0
25-29 12 0 0 1 0 0 0 1 3 1 1 3 2 0
30-34 21 0 2 2 4 1 4 1 0 2 0 2 3 0
35-39 17 0 0 1 3 0 5 3 1 1 0 1 2 0
40-44 17 0 0 0 1 9 1 0 0 1 1 1 3 0
45-49 20 0 0 1 2 7 0 7 0 2 0 0 1 0
50-54 8 1 0 0 1 2 1 0 1 1 0 0 1 0
55-59 8 0 2 0 0 1 0 0 1 0 0 0 4 0
60-64 6 2 1 0 0 1 0 2 0 0 0 0 0 0
65+ 24 1 5 4 0 3 0 3 1 0 0 0 7 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 54 1 2 0 2 4 4 7 6 4 1 5 18 0
15-19 1 0 0 0 1 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 3 0 0 0 0 0 0 0 1 0 0 2 0 0
30-34 6 0 0 0 1 0 1 0 0 0 0 2 2 0
35-39 4 0 0 0 0 0 1 0 1 0 0 0 2 0
40-44 7 0 0 0 0 1 1 0 0 1 1 1 2 0
45-49 7 0 0 0 0 1 0 3 0 2 0 0 1 0
50-54 4 0 0 0 0 0 1 0 1 1 0 0 1 0
55-59 5 0 1 0 0 0 0 0 1 0 0 0 3 0
60-64 3 1 0 0 0 0 0 2 0 0 0 0 0 0
65+ 13 0 1 0 0 2 0 2 1 0 0 0 7 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 89 3 8 10 10 20 8 16 2 4 1 2 5 0
15-19 2 0 0 1 0 0 1 0 0 0 0 0 0 0
20-24 6 0 0 0 0 0 0 6 0 0 0 0 0 0
25-29 9 0 0 1 0 0 0 1 2 1 1 1 2 0
30-34 15 0 2 2 3 1 3 1 0 2 0 0 1 0
35-39 13 0 0 1 3 0 4 3 0 1 0 1 0 0
40-44 10 0 0 0 1 8 0 0 0 0 0 0 1 0
45-49 13 0 0 1 2 6 0 4 0 0 0 0 0 0
50-54 4 1 0 0 1 2 0 0 0 0 0 0 0 0
55-59 3 0 1 0 0 1 0 0 0 0 0 0 1 0
60-64 3 1 1 0 0 1 0 0 0 0 0 0 0 0
65+ 11 1 4 4 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
Nellaidhoo
Both Sexes 351 9 35 26 18 61 42 64 32 15 12 10 25 2
15-19 9 0 1 2 1 4 1 0 0 0 0 0 0 0
20-24 39 0 0 0 0 6 7 11 5 5 2 2 1 0
25-29 45 0 0 0 0 6 10 6 10 2 4 2 5 0
30-34 48 0 3 4 4 11 4 8 4 0 2 2 6 0
35-39 34 0 3 4 1 11 5 2 4 2 0 1 1 0
40-44 28 2 5 2 2 2 5 3 1 3 1 0 2 0
45-49 31 2 6 4 3 5 1 7 1 0 1 1 0 0
50-54 22 0 5 0 2 5 6 1 1 1 0 1 0 0
55-59 13 1 2 1 1 2 0 4 1 0 0 0 1 0
60-64 20 1 1 0 1 1 2 6 4 0 1 0 3 0
65+ 60 3 9 9 3 8 1 16 1 2 1 1 6 0
Not Stated  2 0 0 0 0 0 0 0 0 0 0 0 0 2
Male 133 0 3 5 3 9 14 35 20 6 7 8 22 1
15-19 5 0 1 1 1 2 0 0 0 0 0 0 0 0
20-24 13 0 0 0 0 0 1 5 4 0 1 1 1 0
25-29 13 0 0 0 0 0 2 0 3 2 1 1 4 0
30-34 12 0 0 0 0 0 1 1 2 0 1 2 5 0
35-39 12 0 0 1 0 0 2 2 4 1 0 1 1 0
40-44 10 0 0 0 0 1 3 1 1 2 1 0 1 0
45-49 13 0 0 1 1 1 1 6 1 0 1 1 0 0
50-54 8 0 0 0 1 0 4 1 0 1 0 1 0 0
55-59 4 0 0 0 0 0 0 2 1 0 0 0 1 0
60-64 12 0 0 0 0 0 0 5 3 0 1 0 3 0
65+ 30 0 2 2 0 5 0 12 1 0 1 1 6 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 218 9 32 21 15 52 28 29 12 9 5 2 3 1
15-19 4 0 0 1 0 2 1 0 0 0 0 0 0 0
20-24 26 0 0 0 0 6 6 6 1 5 1 1 0 0
25-29 32 0 0 0 0 6 8 6 7 0 3 1 1 0
30-34 36 0 3 4 4 11 3 7 2 0 1 0 1 0
35-39 22 0 3 3 1 11 3 0 0 1 0 0 0 0
40-44 18 2 5 2 2 1 2 2 0 1 0 0 1 0
45-49 18 2 6 3 2 4 0 1 0 0 0 0 0 0
50-54 14 0 5 0 1 5 2 0 1 0 0 0 0 0
55-59 9 1 2 1 1 2 0 2 0 0 0 0 0 0
60-64 8 1 1 0 1 1 2 1 1 0 0 0 0 0
65+ 30 3 7 7 3 3 1 4 0 2 0 0 0 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Nolhivaramu
Both Sexes 628 28 61 53 66 126 61 56 55 33 23 13 45 8
15-19 25 0 2 3 3 5 5 0 0 0 0 0 0 7
20-24 84 0 0 0 0 24 10 13 15 11 10 1 0 0
25-29 86 0 2 1 1 23 12 14 9 7 4 7 6 0
30-34 54 0 3 6 7 7 5 4 5 3 2 3 9 0
35-39 86 1 10 12 11 16 8 9 7 2 2 0 8 0
40-44 67 10 11 7 10 12 3 4 5 1 1 0 3 0
45-49 72 5 12 10 11 13 5 3 5 3 1 0 4 0
50-54 37 3 6 3 4 6 4 1 3 2 0 1 4 0
55-59 23 3 0 3 3 7 4 2 0 0 0 0 1 0
60-64 22 1 6 2 1 4 1 1 1 1 1 0 3 0
65+ 71 5 9 6 15 9 4 5 5 3 2 1 7 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Male 235 2 10 8 25 37 25 19 29 20 14 6 35 5
15-19 10 0 2 1 3 0 0 0 0 0 0 0 0 4
20-24 18 0 0 0 0 0 2 1 6 4 5 0 0 0
25-29 21 0 0 0 0 3 4 1 2 3 2 3 3 0
30-34 21 0 0 1 1 1 3 2 2 3 0 1 7 0
35-39 26 0 0 1 2 4 2 4 2 2 2 0 7 0
40-44 21 1 1 0 1 4 1 4 5 1 1 0 2 0
45-49 35 0 2 2 5 7 5 2 4 3 1 0 4 0
50-54 22 0 3 2 1 5 2 1 3 0 0 1 4 0
55-59 10 0 0 0 1 3 4 1 0 0 0 0 1 0
60-64 8 0 0 0 0 3 1 0 1 1 1 0 1 0
65+ 42 1 2 1 11 7 1 3 4 3 2 1 6 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 393 26 51 45 41 89 36 37 26 13 9 7 10 3
15-19 15 0 0 2 0 5 5 0 0 0 0 0 0 3
20-24 66 0 0 0 0 24 8 12 9 7 5 1 0 0
25-29 65 0 2 1 1 20 8 13 7 4 2 4 3 0
30-34 33 0 3 5 6 6 2 2 3 0 2 2 2 0
35-39 60 1 10 11 9 12 6 5 5 0 0 0 1 0
40-44 46 9 10 7 9 8 2 0 0 0 0 0 1 0
45-49 37 5 10 8 6 6 0 1 1 0 0 0 0 0
50-54 15 3 3 1 3 1 2 0 0 2 0 0 0 0
55-59 13 3 0 3 2 4 0 1 0 0 0 0 0 0
60-64 14 1 6 2 1 1 0 1 0 0 0 0 2 0
65+ 29 4 7 5 4 2 3 2 1 0 0 0 1 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Kuribi
Both Sexes 195 9 20 20 10 55 4 15 4 7 7 7 35 2
15-19 2 0 0 1 0 1 0 0 0 0 0 0 0 0
20-24 17 0 0 0 0 13 0 1 0 1 1 0 1 0
25-29 26 0 2 0 0 15 1 2 0 2 1 0 3 0
30-34 23 0 3 4 4 1 1 0 0 0 1 3 6 0
35-39 21 0 4 7 0 2 0 3 1 1 0 0 3 0
40-44 29 2 2 2 2 8 0 2 1 1 3 1 5 0
45-49 23 2 3 3 2 4 1 1 1 0 0 2 4 0
50-54 12 2 2 0 1 4 1 1 0 0 0 0 1 0
55-59 3 0 0 0 1 0 0 0 0 0 1 0 1 0
60-64 8 2 1 0 0 1 0 1 1 0 0 0 2 0
65+ 29 1 3 3 0 6 0 4 0 2 0 1 9 0
Not Stated  2 0 0 0 0 0 0 0 0 0 0 0 0 2
Male 86 1 1 2 1 11 2 11 3 6 6 7 34 1
15-19 1 0 0 1 0 0 0 0 0 0 0 0 0 0
20-24 3 0 0 0 0 1 0 0 0 1 0 0 1 0
25-29 5 0 0 0 0 0 0 0 0 1 1 0 3 0
30-34 10 0 0 0 0 0 0 0 0 0 1 3 6 0
35-39 8 0 0 0 0 0 0 3 1 1 0 0 3 0
40-44 14 0 0 0 0 2 0 2 0 1 3 1 5 0
45-49 14 0 1 1 0 3 1 1 1 0 0 2 4 0
50-54 6 0 0 0 1 2 1 1 0 0 0 0 1 0
55-59 2 0 0 0 0 0 0 0 0 0 1 0 1 0
60-64 5 1 0 0 0 0 0 1 1 0 0 0 2 0
65+ 17 0 0 0 0 3 0 3 0 2 0 1 8 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 109 8 19 18 9 44 2 4 1 1 1 0 1 1
15-19 1 0 0 0 0 1 0 0 0 0 0 0 0 0
20-24 14 0 0 0 0 12 0 1 0 0 1 0 0 0
25-29 21 0 2 0 0 15 1 2 0 1 0 0 0 0
30-34 13 0 3 4 4 1 1 0 0 0 0 0 0 0
35-39 13 0 4 7 0 2 0 0 0 0 0 0 0 0
40-44 15 2 2 2 2 6 0 0 1 0 0 0 0 0
45-49 9 2 2 2 2 1 0 0 0 0 0 0 0 0
50-54 6 2 2 0 0 2 0 0 0 0 0 0 0 0
55-59 1 0 0 0 1 0 0 0 0 0 0 0 0 0
60-64 3 1 1 0 0 1 0 0 0 0 0 0 0 0
65+ 12 1 3 3 0 3 0 1 0 0 0 0 1 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Kuburudhoo
Both Sexes 54 2 2 1 7 8 9 6 1 1 4 1 12 0
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 7 0 0 0 0 1 1 2 0 0 3 0 0 0
25-29 6 0 0 0 0 0 1 0 0 0 0 1 4 0
30-34 5 0 0 0 1 1 2 0 0 0 0 0 1 0
35-39 4 0 1 0 0 1 1 0 0 0 0 0 1 0
40-44 4 0 0 0 1 0 1 1 0 0 0 0 1 0
45-49 11 1 0 0 2 4 1 1 0 1 0 0 1 0
50-54 1 0 0 0 0 0 0 0 0 0 0 0 1 0
55-59 3 1 0 1 0 0 1 0 0 0 0 0 0 0
60-64 5 0 1 0 1 1 1 0 0 0 0 0 1 0
65+ 8 0 0 0 2 0 0 2 1 0 1 0 2 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 21 0 1 0 2 1 2 2 1 1 1 0 10 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 2 0 0 0 0 0 0 0 0 0 0 0 2 0
30-34 1 0 0 0 0 0 0 0 0 0 0 0 1 0
35-39 2 0 0 0 0 0 1 0 0 0 0 0 1 0
40-44 1 0 0 0 0 0 0 0 0 0 0 0 1 0
45-49 5 0 0 0 1 1 0 1 0 1 0 0 1 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 4 0 1 0 1 0 1 0 0 0 0 0 1 0
65+ 5 0 0 0 0 0 0 1 1 0 1 0 2 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 33 2 1 1 5 7 7 4 0 0 3 1 2 0
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 7 0 0 0 0 1 1 2 0 0 3 0 0 0
25-29 4 0 0 0 0 0 1 0 0 0 0 1 2 0
30-34 4 0 0 0 1 1 2 0 0 0 0 0 0 0
35-39 2 0 1 0 0 1 0 0 0 0 0 0 0 0
40-44 3 0 0 0 1 0 1 1 0 0 0 0 0 0
45-49 6 1 0 0 1 3 1 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 3 1 0 1 0 0 1 0 0 0 0 0 0 0
60-64 1 0 0 0 0 1 0 0 0 0 0 0 0 0
65+ 3 0 0 0 2 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
Kulhudhuffushi
Both Sexes 3,018 100 210 241 241 484 266 347 207 184 138 100 465 35
15-19 112 0 5 20 14 33 13 6 0 0 0 0 0 21
20-24 307 0 0 0 0 51 50 59 57 38 33 18 1 0
25-29 383 0 1 8 1 66 24 48 34 44 36 40 81 0
30-34 312 0 30 21 36 36 29 23 23 13 14 7 80 0
35-39 382 3 44 40 44 49 24 37 20 20 20 11 70 0
40-44 356 15 33 45 40 58 41 39 18 15 7 4 41 0
45-49 304 20 21 37 32 57 27 23 24 13 9 5 36 0
50-54 228 8 21 17 23 48 19 27 8 13 6 3 35 0
55-59 133 10 12 12 12 13 10 16 8 7 5 4 24 0
60-64 111 12 8 10 8 19 11 15 2 3 2 1 20 0
65+ 375 32 34 31 31 54 18 54 13 18 6 7 77 0
Not Stated  15 0 1 0 0 0 0 0 0 0 0 0 0 14
Male 1,259 7 20 36 47 108 98 164 110 109 78 68 399 15
15-19 47 0 1 9 7 9 5 5 0 0 0 0 0 11
20-24 61 0 0 0 0 1 5 10 9 14 12 9 1 0
25-29 134 0 0 0 0 1 2 9 9 12 19 22 60 0
30-34 142 0 1 1 4 10 9 10 14 10 6 6 71 0
35-39 154 0 1 2 6 8 7 17 14 15 13 9 62 0
40-44 146 2 5 2 5 14 26 20 16 11 5 4 36 0
45-49 142 1 2 5 9 20 9 18 22 12 6 5 33 0
50-54 116 2 4 4 2 14 15 18 8 11 6 2 30 0
55-59 70 0 1 2 0 6 5 11 8 7 4 4 22 0
60-64 56 1 1 3 2 7 9 10 2 2 2 1 16 0
65+ 187 1 4 8 12 18 6 36 8 15 5 6 68 0
Not Stated  4 0 0 0 0 0 0 0 0 0 0 0 0 4
Female 1,759 93 190 205 194 376 168 183 97 75 60 32 66 20
15-19 65 0 4 11 7 24 8 1 0 0 0 0 0 10
20-24 246 0 0 0 0 50 45 49 48 24 21 9 0 0
25-29 249 0 1 8 1 65 22 39 25 32 17 18 21 0
30-34 170 0 29 20 32 26 20 13 9 3 8 1 9 0
35-39 228 3 43 38 38 41 17 20 6 5 7 2 8 0
40-44 210 13 28 43 35 44 15 19 2 4 2 0 5 0
45-49 162 19 19 32 23 37 18 5 2 1 3 0 3 0
50-54 112 6 17 13 21 34 4 9 0 2 0 1 5 0
55-59 63 10 11 10 12 7 5 5 0 0 1 0 2 0
60-64 55 11 7 7 6 12 2 5 0 1 0 0 4 0
65+ 188 31 30 23 19 36 12 18 5 3 1 1 9 0
Not Stated  11 0 1 0 0 0 0 0 0 0 0 0 0 10
Kumundhoo
Both Sexes 393 5 39 54 34 86 36 52 14 14 12 11 29 7
15-19 10 0 3 1 1 1 3 0 0 0 0 0 0 1
20-24 35 0 0 0 0 17 7 3 2 2 2 2 0 0
25-29 53 0 1 0 1 18 8 9 2 3 5 3 3 0
30-34 48 0 10 9 3 6 2 8 3 1 3 0 3 0
35-39 53 0 10 10 7 9 4 2 3 2 1 2 3 0
40-44 48 2 3 4 7 11 6 7 1 1 1 2 3 0
45-49 36 0 3 9 4 10 4 3 0 1 0 0 2 0
50-54 14 0 1 2 0 4 1 3 0 1 0 0 2 0
55-59 10 1 2 1 1 1 0 1 0 0 0 0 3 0
60-64 16 0 0 1 0 3 0 5 3 2 0 0 2 0
65+ 64 2 6 17 10 6 1 11 0 1 0 2 8 0
Not Stated  6 0 0 0 0 0 0 0 0 0 0 0 0 6
Male 147 0 4 14 9 15 14 28 7 4 9 9 27 7
15-19 3 0 0 1 0 1 0 0 0 0 0 0 0 1
20-24 2 0 0 0 0 0 0 0 0 0 1 1 0 0
25-29 16 0 0 0 0 1 2 4 1 0 4 2 2 0
30-34 12 0 1 0 0 2 1 2 1 0 2 0 3 0
35-39 20 0 1 1 3 2 3 1 2 1 1 2 3 0
40-44 20 0 1 2 0 2 4 4 1 0 1 2 3 0
45-49 12 0 0 2 1 1 2 3 0 1 0 0 2 0
50-54 6 0 0 0 0 1 1 2 0 0 0 0 2 0
55-59 4 0 0 1 0 0 0 0 0 0 0 0 3 0
60-64 9 0 0 0 0 2 0 2 2 1 0 0 2 0
65+ 37 0 1 7 5 3 1 10 0 1 0 2 7 0
Not Stated  6 0 0 0 0 0 0 0 0 0 0 0 0 6
Female 246 5 35 40 25 71 22 24 7 10 3 2 2 0
15-19 7 0 3 0 1 0 3 0 0 0 0 0 0 0
20-24 33 0 0 0 0 17 7 3 2 2 1 1 0 0
25-29 37 0 1 0 1 17 6 5 1 3 1 1 1 0
30-34 36 0 9 9 3 4 1 6 2 1 1 0 0 0
35-39 33 0 9 9 4 7 1 1 1 1 0 0 0 0
40-44 28 2 2 2 7 9 2 3 0 1 0 0 0 0
45-49 24 0 3 7 3 9 2 0 0 0 0 0 0 0
50-54 8 0 1 2 0 3 0 1 0 1 0 0 0 0
55-59 6 1 2 0 1 1 0 1 0 0 0 0 0 0
60-64 7 0 0 1 0 1 0 3 1 1 0 0 0 0
65+ 27 2 5 10 5 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
Neykurendhoo
Both Sexes 362 13 61 28 30 60 26 46 25 16 6 9 35 7
15-19 9 0 0 0 2 2 3 0 0 0 0 0 0 2
20-24 31 0 0 0 0 5 5 6 10 4 1 0 0 0
25-29 34 0 0 1 0 11 1 3 1 5 2 4 6 0
30-34 39 0 3 2 4 4 5 4 6 3 0 4 4 0
35-39 37 0 7 6 6 5 1 4 3 0 2 0 3 0
40-44 39 2 8 4 5 5 6 5 2 0 0 1 1 0
45-49 47 2 8 5 4 14 1 5 2 0 0 0 6 0
50-54 24 2 6 3 1 3 2 2 1 2 0 0 2 0
55-59 11 3 1 0 0 1 1 3 0 0 1 0 1 0
60-64 28 3 13 1 2 2 0 3 0 1 0 0 3 0
65+ 58 1 15 6 6 8 1 11 0 1 0 0 9 0
Not Stated  5 0 0 0 0 0 0 0 0 0 0 0 0 5
Male 120 0 3 4 4 19 9 23 11 9 3 4 26 5
15-19 6 0 0 0 2 1 1 0 0 0 0 0 0 2
20-24 6 0 0 0 0 0 2 0 3 1 0 0 0 0
25-29 5 0 0 0 0 0 0 0 0 1 0 1 3 0
30-34 12 0 0 0 0 0 1 1 2 3 0 2 3 0
35-39 8 0 0 0 0 0 0 1 2 0 2 0 3 0
40-44 10 0 1 0 0 0 1 4 2 0 0 1 1 0
45-49 18 0 0 1 1 9 0 1 1 0 0 0 5 0
50-54 9 0 0 1 0 2 2 0 1 2 0 0 1 0
55-59 5 0 0 0 0 0 1 2 0 0 1 0 1 0
60-64 7 0 0 0 0 1 0 3 0 1 0 0 2 0
65+ 31 0 2 2 1 6 1 11 0 1 0 0 7 0
Not Stated  3 0 0 0 0 0 0 0 0 0 0 0 0 3
Female 242 13 58 24 26 41 17 23 14 7 3 5 9 2
15-19 3 0 0 0 0 1 2 0 0 0 0 0 0 0
20-24 25 0 0 0 0 5 3 6 7 3 1 0 0 0
25-29 29 0 0 1 0 11 1 3 1 4 2 3 3 0
30-34 27 0 3 2 4 4 4 3 4 0 0 2 1 0
35-39 29 0 7 6 6 5 1 3 1 0 0 0 0 0
40-44 29 2 7 4 5 5 5 1 0 0 0 0 0 0
45-49 29 2 8 4 3 5 1 4 1 0 0 0 1 0
50-54 15 2 6 2 1 1 0 2 0 0 0 0 1 0
55-59 6 3 1 0 0 1 0 1 0 0 0 0 0 0
60-64 21 3 13 1 2 1 0 0 0 0 0 0 1 0
65+ 27 1 13 4 5 2 0 0 0 0 0 0 2 0
Not Stated  2 0 0 0 0 0 0 0 0 0 0 0 0 2
Vaikaradhoo 
Both Sexes 421 20 40 26 20 91 34 37 38 28 12 14 59 2
15-19 10 0 0 2 0 6 1 0 0 0 0 0 0 1
20-24 32 0 0 0 0 7 4 3 12 5 0 1 0 0
25-29 46 0 0 0 0 15 5 4 4 6 4 2 6 0
30-34 42 0 2 4 1 7 6 4 3 2 4 1 8 0
35-39 51 2 9 3 6 5 3 3 4 6 2 2 6 0
40-44 41 1 6 3 1 10 3 2 5 1 0 1 8 0
45-49 37 2 2 2 2 7 7 4 2 3 2 2 2 0
50-54 31 3 2 5 0 5 3 5 3 0 0 1 4 0
55-59 43 5 6 2 5 15 1 3 1 1 0 1 3 0
60-64 23 1 3 2 1 6 1 0 1 0 0 2 6 0
65+ 64 6 10 3 4 8 0 9 3 4 0 1 16 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Male 153 2 4 3 2 21 8 17 21 12 6 10 46 1
15-19 2 0 0 1 0 0 1 0 0 0 0 0 0 0
20-24 4 0 0 0 0 0 0 1 2 0 0 1 0 0
25-29 9 0 0 0 0 1 1 0 2 2 2 0 1 0
30-34 16 0 0 0 0 0 1 1 3 1 2 0 8 0
35-39 16 0 0 0 0 0 0 2 3 4 0 1 6 0
40-44 17 0 0 0 0 4 1 1 3 1 0 1 6 0
45-49 14 0 0 1 0 1 4 2 1 0 2 2 1 0
50-54 10 0 0 0 0 1 0 2 2 0 0 1 4 0
55-59 16 0 0 0 1 7 0 2 1 1 0 1 3 0
60-64 10 1 1 0 0 1 0 0 1 0 0 2 4 0
65+ 38 1 3 1 1 6 0 6 3 3 0 1 13 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 268 18 36 23 18 70 26 20 17 16 6 4 13 1
15-19 8 0 0 1 0 6 0 0 0 0 0 0 0 1
20-24 28 0 0 0 0 7 4 2 10 5 0 0 0 0
25-29 37 0 0 0 0 14 4 4 2 4 2 2 5 0
30-34 26 0 2 4 1 7 5 3 0 1 2 1 0 0
35-39 35 2 9 3 6 5 3 1 1 2 2 1 0 0
40-44 24 1 6 3 1 6 2 1 2 0 0 0 2 0
45-49 23 2 2 1 2 6 3 2 1 3 0 0 1 0
50-54 21 3 2 5 0 4 3 3 1 0 0 0 0 0
55-59 27 5 6 2 4 8 1 1 0 0 0 0 0 0
60-64 13 0 2 2 1 5 1 0 0 0 0 0 2 0
65+ 26 5 7 2 3 2 0 3 0 1 0 0 3 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Maavaidhoo
Both Sexes 111 7 24 12 10 14 8 5 7 3 7 2 11 1
15-19 1 0 0 0 0 0 0 0 0 0 0 0 0 1
20-24 14 0 0 0 0 4 3 0 2 2 3 0 0 0
25-29 10 0 0 0 1 2 1 0 1 0 3 2 0 0
30-34 14 0 6 2 0 0 0 1 0 0 1 0 4 0
35-39 12 0 5 0 0 1 3 1 1 0 0 0 1 0
40-44 7 1 2 1 1 2 0 0 0 0 0 0 0 0
45-49 12 1 2 3 2 2 0 1 1 0 0 0 0 0
50-54 8 1 1 0 2 1 0 1 1 1 0 0 0 0
55-59 4 3 1 0 0 0 0 0 0 0 0 0 0 0
60-64 5 0 1 0 1 0 0 1 0 0 0 0 2 0
65+ 24 1 6 6 3 2 1 0 1 0 0 0 4 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Male 43 0 5 2 6 4 3 3 3 2 2 2 10 1
15-19 1 0 0 0 0 0 0 0 0 0 0 0 0 1
20-24 2 0 0 0 0 0 0 0 0 1 1 0 0 0
25-29 2 0 0 0 0 0 0 0 0 0 0 2 0 0
30-34 6 0 0 0 0 0 0 1 0 0 1 0 4 0
35-39 4 0 0 0 0 0 3 1 0 0 0 0 0 0
40-44 4 0 1 1 1 1 0 0 0 0 0 0 0 0
45-49 6 0 2 0 1 1 0 1 1 0 0 0 0 0
50-54 3 0 0 0 1 0 0 0 1 1 0 0 0 0
55-59 0 0 0 0 0 0 0 0 0 0 0 0 0 0
60-64 3 0 0 0 1 0 0 0 0 0 0 0 2 0
65+ 12 0 2 1 2 2 0 0 1 0 0 0 4 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Female 68 7 19 10 4 10 5 2 4 1 5 0 1 0
15-19 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20-24 12 0 0 0 0 4 3 0 2 1 2 0 0 0
25-29 8 0 0 0 1 2 1 0 1 0 3 0 0 0
30-34 8 0 6 2 0 0 0 0 0 0 0 0 0 0
35-39 8 0 5 0 0 1 0 0 1 0 0 0 1 0
40-44 3 1 1 0 0 1 0 0 0 0 0 0 0 0
45-49 6 1 0 3 1 1 0 0 0 0 0 0 0 0
50-54 5 1 1 0 1 1 0 1 0 0 0 0 0 0
55-59 4 3 1 0 0 0 0 0 0 0 0 0 0 0
60-64 2 0 1 0 0 0 0 1 0 0 0 0 0 0
65+ 12 1 4 5 1 0 1 0 0 0 0 0 0 0
Not Stated  0 0 0 0 0 0 0 0 0 0 0 0 0 0
Makunudhoo
Both Sexes 530 20 52 57 52 108 41 59 33 32 14 14 45 3
15-19 21 0 1 7 3 6 1 2 0 0 0 0 0 1
20-24 52 0 0 0 0 17 12 10 7 3 2 0 1 0
25-29 56 0 0 1 0 23 2 11 5 3 5 1 5 0
30-34 75 0 7 7 11 10 5 9 5 7 1 4 9 0
35-39 62 1 8 8 10 5 5 6 6 3 4 0 6 0
40-44 54 3 4 5 4 13 4 5 3 1 0 4 8 0
45-49 55 5 8 9 5 7 3 4 4 5 1 1 3 0
50-54 30 1 5 4 6 6 3 1 1 0 0 2 1 0
55-59 26 2 3 1 3 3 0 3 0 7 1 0 3 0
60-64 21 1 2 5 2 3 2 1 0 0 0 2 3 0
65+ 76 7 14 10 8 15 4 7 2 3 0 0 6 0
Not Stated  2 0 0 0 0 0 0 0 0 0 0 0 0 2
Male 248 1 2 15 18 43 21 37 21 27 10 12 39 2
15-19 17 0 0 6 3 4 1 2 0 0 0 0 0 1
20-24 14 0 0 0 0 3 1 3 5 0 1 0 1 0
25-29 21 0 0 1 0 3 0 6 1 2 4 0 4 0
30-34 31 0 0 1 0 2 1 6 2 7 1 3 8 0
35-39 24 0 1 0 1 2 4 3 5 2 3 0 3 0
40-44 30 0 0 0 1 8 2 4 3 1 0 4 7 0
45-49 28 0 1 2 3 4 3 3 3 5 0 1 3 0
50-54 15 0 0 0 4 4 3 0 1 0 0 2 1 0
55-59 18 0 0 0 1 3 0 3 0 7 1 0 3 0
60-64 13 0 0 2 1 2 2 1 0 0 0 2 3 0
65+ 36 1 0 3 4 8 4 6 1 3 0 0 6 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Female 282 19 50 42 34 65 20 22 12 5 4 2 6 1
15-19 4 0 1 1 0 2 0 0 0 0 0 0 0 0
20-24 38 0 0 0 0 14 11 7 2 3 1 0 0 0
25-29 35 0 0 0 0 20 2 5 4 1 1 1 1 0
30-34 44 0 7 6 11 8 4 3 3 0 0 1 1 0
35-39 38 1 7 8 9 3 1 3 1 1 1 0 3 0
40-44 24 3 4 5 3 5 2 1 0 0 0 0 1 0
45-49 27 5 7 7 2 3 0 1 1 0 1 0 0 0
50-54 15 1 5 4 2 2 0 1 0 0 0 0 0 0
55-59 8 2 3 1 2 0 0 0 0 0 0 0 0 0
60-64 8 1 2 3 1 1 0 0 0 0 0 0 0 0
65+ 40 6 14 7 4 7 0 1 1 0 0 0 0 0
Not Stated  1 0 0 0 0 0 0 0 0 0 0 0 0 1
Industrial and Other Islands
Both Sexes 14 0 0 0 1 3 0 3 1 1 0 0 5 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 2 0 0 0 0 1 0 1 0 0 0 0 0 0
30-34 1 0 0 0 1 0 0 0 0 0 0 0 0 0
35-39 4 0 0 0 0 1 0 1 0 0 0 0 2 0
40-44 2 0 0 0 0 0 0 0 0 1 0 0 1 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 3 0 0 0 0 0 0 1 0 0 0 0 2 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 13 0 0 0 0 3 0 3 1 1 0 0 5 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 2 0 0 0 0 1 0 1 0 0 0 0 0 0
30-34 0 0 0 0 0 0 0 0 0 0 0 0 0 0
35-39 4 0 0 0 0 1 0 1 0 0 0 0 2 0
40-44 2 0 0 0 0 0 0 0 0 1 0 0 1 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 3 0 0 0 0 0 0 1 0 0 0 0 2 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 1 0 0 0 1 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 1 0 0 0 1 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