Profile:
This Country Profile shows a set of typical results known as "Preliminary Analysis" comming from the disaster database. Charts, Maps and tables below will provide you with a basic understanding of the effects of many types of natural disasters occurred in the region. Click here for more info PDF version
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| Affected | Houses Destroyed + Houses Damaged |
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Temporal Behaviour
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Spatial Distribution
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Statistics
Composition of Disasters get it as Excel
| Event | DataCards | Deaths | Injured | Missing | Houses Destroyed |
Houses Damaged | Victims | Affected | Relocated | Evacuated |
|---|---|---|---|---|---|---|---|---|---|---|
| ACCIDENT | 32 | 29 | 22 | 0 | 0 | 1 | 103 | 0 | 0 | 0 |
| BIOLOGICAL | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
| BOAT SINKING | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| COASTLINE | 75 | 0 | 0 | 0 | 1 | 64 | 0 | 0 | 0 | 3 |
| DROUGHT | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| EARTHQUAKE | 8 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 |
| EPIDEMIC | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| EXPLOSION | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| FIRE | 300 | 3 | 46 | 0 | 21 | 150 | 0 | 0 | 0 | 0 |
| FLOOD | 268 | 0 | 1 | 0 | 1 | 678 | 0 | 350 | 0 | 10 |
| FROST | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| LEAK | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| LIGHTNING | 36 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |
| OTHER | 37 | 6 | 2 | 3 | 0 | 8 | 0 | 0 | 0 | 0 |
| PLAGUE | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| RAINS | 18 | 0 | 0 | 0 | 0 | 1168 | 0 | 0 | 0 | 0 |
| STORM | 799 | 0 | 15 | 0 | 10 | 3191 | 0 | 11 | 0 | 44 |
| STRONG WIND | 70 | 0 | 0 | 0 | 0 | 99 | 0 | 0 | 0 | 0 |
| SURGE | 152 | 0 | 11 | 0 | 0 | 1085 | 1 | 0 | 0 | 239 |
| TIDAL WAVE | 5 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 0 |
| TORNADO | 25 | 0 | 10 | 0 | 0 | 181 | 0 | 19 | 0 | 0 |
| TSUNAMI | 205 | 77 | 737 | 27 | 1690 | 3134 | 0 | 186950 | 29192 | 4259 |
Spatial Distribution get it as Excel
| Geography | Code | DataCards | Deaths | Injured | Missing | Houses Destroyed |
Houses Damaged | Victims | Affected | Relocated | Evacuated |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alif Alif | 28 | 36 | 0 | 2 | 0 | 1 | 36 | 0 | 4995 | 270 | 270 |
| Alif dhaal | 29 | 42 | 5 | 1 | 0 | 2 | 22 | 0 | 7063 | 0 | 0 |
| Baa | 25 | 154 | 1 | 32 | 1 | 8 | 219 | 1 | 9363 | 1766 | 216 |
| Dhaal | 33 | 49 | 7 | 9 | 4 | 79 | 291 | 0 | 4939 | 2369 | 360 |
| Faafu | 32 | 77 | 1 | 1 | 0 | 0 | 36 | 0 | 3864 | 0 | 0 |
| Gaafu Alif | 36 | 29 | 2 | 91 | 0 | 107 | 246 | 0 | 8187 | 2609 | 250 |
| Gaafu Dhaal | 37 | 106 | 24 | 7 | 0 | 2 | 432 | 103 | 10832 | 700 | 62 |
| Gnaviyani | 38 | 38 | 1 | 6 | 0 | 2 | 18 | 0 | 7645 | 0 | 0 |
| Haa Alif | 20 | 250 | 3 | 20 | 0 | 40 | 367 | 0 | 13744 | 597 | 551 |
| Haa Dhaal | 21 | 159 | 1 | 16 | 1 | 25 | 203 | 0 | 17141 | 581 | 15 |
| Kaafu | 27 | 42 | 4 | 190 | 2 | 57 | 413 | 0 | 8458 | 2524 | 0 |
| Laamu | 35 | 88 | 22 | 19 | 3 | 190 | 616 | 0 | 11318 | 3909 | 40 |
| Lhaviyani | 26 | 45 | 0 | 18 | 0 | 4 | 88 | 0 | 8158 | 114 | 0 |
| Male' | 10 | 122 | 2 | 123 | 0 | 0 | 107 | 0 | 1500 | 0 | 0 |
| Meemu | 31 | 45 | 20 | 90 | 13 | 193 | 622 | 0 | 4845 | 3898 | 30 |
| Noonu | 23 | 179 | 0 | 13 | 0 | 63 | 625 | 0 | 10067 | 300 | 0 |
| Raa | 24 | 228 | 5 | 130 | 3 | 541 | 519 | 0 | 15331 | 3015 | 2776 |
| Seenu | 39 | 140 | 0 | 6 | 0 | 1 | 4298 | 0 | 17980 | 85 | 0 |
| Shaviyani | 22 | 79 | 2 | 14 | 0 | 47 | 256 | 0 | 11807 | 1036 | 0 |
| Thaa | 34 | 121 | 16 | 56 | 3 | 359 | 341 | 0 | 8513 | 4332 | 0 |
| Vaavu | 30 | 42 | 1 | 3 | 0 | 2 | 57 | 0 | 1580 | 1087 | 0 |
Temporal Behaviour get it as Excel
| Year | DataCards | Deaths | Injured | Missing | Houses Destroyed |
Houses Damaged | Victims | Affected | Relocated | Evacuated |
|---|---|---|---|---|---|---|---|---|---|---|
| 1946 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1959 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 |
| 1960 | 1 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |
| 1962 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1964 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1965 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1966 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1970 | 14 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 |
| 1971 | 19 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 |
| 1972 | 15 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |
| 1973 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1974 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1975 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1976 | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 |
| 1977 | 29 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
| 1978 | 23 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 |
| 1979 | 12 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |
| 1980 | 14 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |
| 1981 | 16 | 0 | 0 | 0 | 0 | 106 | 0 | 0 | 0 | 0 |
| 1982 | 15 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1983 | 14 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
| 1984 | 23 | 0 | 0 | 0 | 0 | 479 | 0 | 0 | 0 | 0 |
| 1985 | 19 | 0 | 0 | 0 | 0 | 271 | 0 | 0 | 0 | 0 |
| 1986 | 11 | 0 | 0 | 3 | 0 | 2 | 0 | 0 | 0 | 0 |
| 1987 | 64 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 |
| 1988 | 20 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 0 | 216 |
| 1989 | 18 | 0 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 0 |
| 1990 | 13 | 0 | 4 | 0 | 0 | 25 | 0 | 0 | 0 | 0 |
| 1991 | 83 | 3 | 0 | 0 | 0 | 1801 | 0 | 0 | 0 | 0 |
| 1992 | 19 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 |
| 1993 | 48 | 0 | 1 | 0 | 0 | 91 | 0 | 0 | 0 | 0 |
| 1994 | 25 | 0 | 2 | 0 | 0 | 107 | 0 | 0 | 0 | 0 |
| 1995 | 21 | 0 | 4 | 0 | 1 | 9 | 0 | 0 | 0 | 0 |
| 1996 | 11 | 0 | 2 | 0 | 0 | 268 | 0 | 0 | 0 | 0 |
| 1997 | 18 | 1 | 0 | 0 | 0 | 274 | 0 | 19 | 0 | 0 |
| 1998 | 68 | 1 | 5 | 0 | 2 | 154 | 0 | 0 | 0 | 6 |
| 1999 | 29 | 0 | 0 | 0 | 0 | 69 | 0 | 18 | 0 | 0 |
| 2000 | 62 | 1 | 0 | 0 | 2 | 826 | 0 | 0 | 0 | 0 |
| 2001 | 29 | 0 | 0 | 0 | 0 | 58 | 0 | 5 | 0 | 0 |
| 2002 | 44 | 0 | 0 | 0 | 1 | 188 | 0 | 0 | 0 | 0 |
| 2003 | 31 | 1 | 1 | 0 | 3 | 22 | 0 | 0 | 0 | 0 |
| 2004 | 328 | 79 | 743 | 27 | 1691 | 3532 | 0 | 186950 | 29192 | 4259 |
| 2005 | 123 | 1 | 12 | 0 | 3 | 247 | 0 | 0 | 0 | 18 |
| 2006 | 332 | 23 | 15 | 0 | 5 | 614 | 103 | 0 | 0 | 4 |
| 2007 | 384 | 1 | 35 | 0 | 7 | 578 | 0 | 338 | 0 | 67 |
| 2008 | 29 | 4 | 20 | 0 | 2 | 14 | 0 | 0 | 0 | 0 |
| Maldives - Historical |
| Official records from Attoll administration offices. Summary: DataCards: 2071 Period: Ministries of Defense, Finance Maldives - UNDP Highest Mortality: TSUNAMI: 77 Deaths; 205 DataCards ACCIDENT: 29 Deaths; 32 DataCards OTHER: 6 Deaths; 37 DataCards Highest Housing Damages: TSUNAMI: 4824 Houses; 205 DataCards STORM: 3201 Houses; 801 DataCards RAINS: 1168 Houses; 18 DataCards |
