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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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 | 26 | 77 | 29 | 0 | 0 | 11 | 0 | 9 | 0 | 0 |
| AHOGAMIENTO | 384 | 417 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 0 |
| BIOLOGICAL | 5 | 0 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| CONTAMINATION | 4 | 0 | 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| DROUGHT | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| EARTHQUAKE | 18 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |
| ELECTRIC STORM | 31 | 24 | 21 | 0 | 1 | 42 | 305 | 13 | 0 | 3 |
| EPIDEMIC | 8 | 154 | 698 | 0 | 0 | 0 | 0 | 20 | 0 | 0 |
| EXPLOSION | 25 | 5 | 43 | 0 | 1 | 8 | 0 | 11 | 0 | 0 |
| FIRE | 445 | 30 | 109 | 0 | 1222 | 444 | 9928 | 4128 | 539 | 1317 |
| FLOOD | 652 | 49 | 236 | 11 | 2390 | 18020 | 17568 | 71385 | 10 | 3363 |
| FOREST FIRE | 40 | 1 | 1 | 0 | 3 | 0 | 16 | 0 | 0 | 0 |
| HEAT WAVE | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| HIGH TIDE | 34 | 0 | 0 | 0 | 10 | 453 | 57 | 2327 | 0 | 900 |
| LANDSLIDE | 252 | 24 | 28 | 0 | 36 | 376 | 2097 | 1248 | 4 | 53 |
| LEAK | 15 | 0 | 3 | 0 | 0 | 0 | 0 | 108 | 0 | 100 |
| NAUFRAGIO | 46 | 55 | 17 | 13 | 0 | 0 | 0 | 255 | 0 | 0 |
| OTHER | 49 | 40 | 145 | 1 | 0 | 0 | 0 | 500013 | 0 | 315 |
| PANIC | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 262 | 0 | 0 |
| RAINS | 4 | 0 | 0 | 0 | 0 | 35 | 0 | 175 | 0 | 0 |
| STORM | 5 | 0 | 0 | 0 | 0 | 33 | 0 | 117 | 0 | 0 |
| STRONG WIND | 219 | 14 | 133 | 1 | 406 | 777 | 1296 | 3258 | 134 | 400 |
| STRUCTURE | 174 | 19 | 103 | 0 | 58 | 277 | 383 | 1491 | 0 | 520 |
Spatial Distribution get it as Excel
| Geography | Code | DataCards | Deaths | Injured | Missing | Houses Destroyed |
Houses Damaged | Victims | Affected | Relocated | Evacuated |
|---|---|---|---|---|---|---|---|---|---|---|---|
| BOCAS DEL TORO | 1. | 164 | 73 | 659 | 7 | 295 | 2101 | 1009 | 15298 | 0 | 1884 |
| CHIRIQUI | 4. | 266 | 87 | 26 | 2 | 59 | 1808 | 1921 | 8733 | 130 | 964 |
| COCLE | 2. | 152 | 39 | 5 | 0 | 38 | 480 | 295 | 2168 | 0 | 460 |
| COLON | 3. | 224 | 58 | 67 | 11 | 578 | 1136 | 3635 | 5708 | 0 | 569 |
| COMARCA DE SAN BLAS | 10 | 20 | 73 | 13 | 0 | 27 | 30 | 139 | 262 | 0 | 0 |
| COMARCA NGOBE BUGLE | 11. | 31 | 14 | 3 | 0 | 6 | 449 | 31 | 3063 | 0 | 105 |
| DARIEN | 5. | 114 | 143 | 61 | 0 | 1754 | 867 | 8710 | 4975 | 17 | 65 |
| HERRERA | 6. | 110 | 20 | 20 | 0 | 27 | 436 | 357 | 1836 | 0 | 12 |
| LOS SANTOS | 7. | 105 | 18 | 45 | 0 | 43 | 666 | 479 | 1930 | 0 | 165 |
| PANAMA | 8. | 1003 | 285 | 803 | 7 | 1181 | 11915 | 14122 | 538795 | 533 | 1786 |
| VERAGUAS | 9. | 267 | 99 | 13 | 0 | 119 | 590 | 952 | 2059 | 7 | 961 |
Temporal Behaviour get it as Excel
| Year | DataCards | Deaths | Injured | Missing | Houses Destroyed |
Houses Damaged | Victims | Affected | Relocated | Evacuated |
|---|---|---|---|---|---|---|---|---|---|---|
| 1896 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1929 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1933 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1935 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1937 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1941 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1945 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1946 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1947 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1949 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1954 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1955 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1956 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1957 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1959 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1960 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1961 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1962 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1963 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1964 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1965 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1966 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1967 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1968 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1969 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1970 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1971 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1972 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1973 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1974 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1975 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1978 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1979 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1980 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1981 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1984 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1985 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1986 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1987 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1988 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1990 | 18 | 18 | 2 | 1 | 20 | 81 | 764 | 205 | 0 | 51 |
| 1991 | 26 | 65 | 16 | 0 | 170 | 407 | 545 | 2245 | 0 | 1701 |
| 1992 | 54 | 139 | 426 | 2 | 447 | 109 | 2007 | 959 | 0 | 0 |
| 1993 | 85 | 31 | 153 | 7 | 51 | 1936 | 5070 | 754 | 0 | 945 |
| 1994 | 69 | 28 | 608 | 3 | 76 | 1053 | 2635 | 2559 | 130 | 43 |
| 1995 | 121 | 28 | 107 | 3 | 142 | 7297 | 2823 | 24213 | 255 | 1603 |
| 1996 | 229 | 113 | 16 | 0 | 466 | 1814 | 2608 | 10540 | 0 | 215 |
| 1997 | 431 | 136 | 204 | 1 | 306 | 1451 | 1442 | 11383 | 0 | 900 |
| 1998 | 516 | 123 | 66 | 2 | 2004 | 2202 | 9951 | 11266 | 0 | 115 |
| 1999 | 263 | 84 | 52 | 1 | 191 | 1648 | 2403 | 7993 | 7 | 4 |
| 2000 | 236 | 43 | 39 | 0 | 64 | 1448 | 564 | 507307 | 270 | 600 |
| 2001 | 219 | 75 | 20 | 6 | 171 | 981 | 450 | 5150 | 25 | 624 |
| 2002 | 59 | 26 | 6 | 1 | 19 | 51 | 388 | 253 | 0 | 170 |
| Panama |
Summary: DataCards: 2456 Period: 1896 - 2002 Highest Mortality: AHOGAMIENTO: 417 Deaths; 384 DataCards EPIDEMIC: 154 Deaths; 8 DataCards ACCIDENT: 77 Deaths; 26 DataCards Highest Housing Damages: FLOOD: 20410 Houses; 652 DataCards FIRE: 1666 Houses; 445 DataCards STRONG WIND: 1183 Houses; 219 DataCards |
