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 |
|---|---|---|---|---|---|---|---|---|---|---|
| null | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ACCIDENT | 167 | 805 | 871 | 16 | 0 | 4 | 12 | 200 | 0 | 0 |
| BOAT CAPSIZE | 3 | 18 | 10 | 0 | 0 | 0 | 0 | 28 | 0 | 0 |
| COLD WAVE | 507 | 1560 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| DROUGHT | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| EARTHQUAKE | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ELECTRIC STORM | 41 | 115 | 78 | 0 | 0 | 16 | 0 | 0 | 0 | 0 |
| EPIDEMIC | 937 | 5975 | 4385 | 0 | 0 | 28 | 105 | 134082 | 0 | 0 |
| EXPLOSION | 189 | 391 | 839 | 0 | 8 | 12 | 0 | 150 | 0 | 0 |
| FIRE | 752 | 865 | 700 | 0 | 16101 | 5560 | 3 | 320 | 0 | 0 |
| FLOOD | 156 | 864 | 69 | 14 | 3142 | 1707 | 0 | 6828261 | 0 | 0 |
| FOG | 2 | 11 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| FOOD POISONING | 212 | 725 | 767 | 0 | 0 | 0 | 26 | 6120 | 0 | 0 |
| HAILSTORM | 8 | 38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| HEAT WAVE | 41 | 265 | 0 | 0 | 0 | 0 | 13 | 60 | 0 | 0 |
| LANDSLIDE | 2 | 5 | 27 | 0 | 36 | 0 | 0 | 0 | 0 | 0 |
| LEAK | 25 | 62 | 42 | 0 | 0 | 0 | 0 | 41 | 0 | 0 |
| OTHER | 33 | 83 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| PANIC | 8 | 68 | 118 | 0 | 0 | 66 | 0 | 0 | 0 | 0 |
| POLLUTION | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 |
| RAINS | 26 | 228 | 4 | 0 | 4 | 50 | 0 | 1006 | 0 | 0 |
| SEDIMENTATION | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| STORM | 56 | 271 | 258 | 0 | 0 | 1000 | 0 | 0 | 0 | 0 |
| STRUCT COLLAPSE | 189 | 719 | 675 | 0 | 100 | 1053 | 0 | 3 | 0 | 0 |
Spatial Distribution get it as Excel
| Geography | Code | DataCards | Deaths | Injured | Missing | Houses Destroyed |
Houses Damaged | Victims | Affected | Relocated | Evacuated |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Uttar Pradesh | IND009 | 3361 | 13079 | 8897 | 30 | 19391 | 9496 | 159 | 6970295 | 0 | 0 |
Temporal Behaviour get it as Excel
| Year | DataCards | Deaths | Injured | Missing | Houses Destroyed |
Houses Damaged | Victims | Affected | Relocated | Evacuated |
|---|---|---|---|---|---|---|---|---|---|---|
| 1991 | 77 | 622 | 44 | 0 | 352 | 38 | 0 | 1451 | 0 | 0 |
| 1992 | 104 | 679 | 123 | 0 | 437 | 248 | 0 | 2357602 | 0 | 0 |
| 1993 | 93 | 368 | 231 | 0 | 2013 | 549 | 0 | 2145 | 0 | 0 |
| 1994 | 108 | 639 | 61 | 0 | 155 | 2233 | 0 | 5765 | 0 | 0 |
| 1995 | 123 | 503 | 218 | 0 | 687 | 1032 | 0 | 3112 | 0 | 0 |
| 1996 | 186 | 696 | 291 | 0 | 994 | 82 | 0 | 28634 | 0 | 0 |
| 1997 | 116 | 287 | 132 | 0 | 459 | 55 | 0 | 1814 | 0 | 0 |
| 1998 | 300 | 1176 | 298 | 10 | 1650 | 1409 | 0 | 548750 | 0 | 0 |
| 1999 | 218 | 706 | 640 | 0 | 1429 | 74 | 0 | 1591 | 0 | 0 |
| 2000 | 373 | 1059 | 1353 | 0 | 889 | 507 | 0 | 511655 | 0 | 0 |
| 2001 | 248 | 857 | 392 | 0 | 824 | 1700 | 0 | 2701540 | 0 | 0 |
| 2002 | 312 | 874 | 2143 | 2 | 1165 | 191 | 0 | 2274 | 0 | 0 |
| 2003 | 704 | 2137 | 1526 | 0 | 5824 | 238 | 0 | 709711 | 0 | 0 |
| 2004 | 272 | 915 | 1231 | 4 | 2259 | 1009 | 12 | 1772 | 0 | 0 |
| 2005 | 127 | 1561 | 214 | 14 | 254 | 131 | 147 | 92479 | 0 | 0 |
| Uttar Pradesh |
Summary: DataCards: 3361 Period: 1991 - 2005 Highest Mortality: EPIDEMIC: 5975 Deaths; 937 DataCards COLD WAVE: 1560 Deaths; 507 DataCards FIRE: 865 Deaths; 752 DataCards Highest Housing Damages: FIRE: 21661 Houses; 752 DataCards FLOOD: 4849 Houses; 156 DataCards STRUCT COLLAPSE: 1153 Houses; 189 DataCards |
