| |
No. of events |
Fatalities |
Persons Affected |
| |
1980-89 |
1990-99 |
2000-09 |
1980-89 |
1990-99 |
2000-09 |
1980-89 |
1990-99 |
2000-09 |
| |
|
|
|
| Afghanistan |
3 |
11 |
12 |
513 |
7 526 |
1 236 |
62 440 |
271 685 |
90 740 |
| Albania |
2 |
1 |
1 |
1 |
0 |
0 |
690 |
2 100 |
0 |
| Algeria |
6 |
3 |
5 |
2 688 |
193 |
2 279 |
494 093 |
14 750 |
160 |
| American Samoa |
1 |
0 |
1 |
0 |
0 |
34 |
0 |
0 |
2 500 |
| Argentina |
1 |
1 |
2 |
6 |
0 |
0 |
45 000 |
62 000 |
500 |
| Armenia |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
15 000 |
0 |
| Australia |
1 |
1 |
0 |
12 |
0 |
0 |
2 000 |
5 000 |
0 |
| Austria |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Azerbaijan |
0 |
2 |
1 |
0 |
2 |
31 |
0 |
700 750 |
2 694 |
| Bangladesh |
2 |
2 |
3 |
3 |
29 |
4 |
0 |
0 |
3 500 |
| Barbados |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
| Belgium |
1 |
1 |
0 |
2 |
0 |
0 |
1 000 |
0 |
0 |
| Bhutan |
0 |
0 |
1 |
0 |
0 |
11 |
0 |
0 |
0 |
| Bolivia |
1 |
2 |
0 |
20 |
100 |
0 |
0 |
11 100 |
0 |
| Brazil |
1 |
0 |
1 |
1 |
0 |
1 |
15 000 |
0 |
280 |
| Bulgaria |
1 |
1 |
1 |
3 |
1 |
0 |
0 |
0 |
525 |
| Burundi |
0 |
0 |
1 |
0 |
0 |
3 |
0 |
0 |
0 |
| Cameroon |
2 |
1 |
0 |
1 783 |
0 |
0 |
10 000 |
2 500 |
0 |
| Cape Verde |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
1 300 |
0 |
| Chile |
4 |
4 |
4 |
189 |
17 |
23 |
983 292 |
103 550 |
60 463 |
| China |
18 |
34 |
48 |
1 542 |
762 |
88 002 |
1 364 885 |
9 615 234 |
52 742 377 |
| Colombia |
5 |
10 |
13 |
22 220 |
1 612 |
35 |
44 600 |
777 974 |
146 967 |
| Comoros |
0 |
1 |
3 |
0 |
0 |
1 |
0 |
0 |
284 000 |
| Congo |
0 |
0 |
1 |
0 |
0 |
6 |
0 |
0 |
0 |
| Costa Rica |
2 |
8 |
3 |
12 |
51 |
41 |
5 475 |
7 420 |
128 842 |
| Croatia |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Cuba |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
5 829 |
0 |
| Cyprus |
0 |
1 |
0 |
0 |
2 |
0 |
0 |
1 710 |
0 |
| Dem. Rep. of the Congo |
0 |
1 |
3 |
0 |
9 |
211 |
0 |
0 |
17 355 |
| Dominica |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
100 |
| Dominican Republic |
0 |
0 |
1 |
0 |
0 |
3 |
0 |
0 |
2 000 |
| Ecuador |
3 |
6 |
7 |
5 010 |
37 |
65 |
0 |
44 950 |
497 670 |
| Egypt |
0 |
3 |
2 |
0 |
596 |
98 |
0 |
58 000 |
250 |
| El Salvador |
2 |
0 |
5 |
1 120 |
0 |
1 162 |
530 000 |
0 |
1 601 648 |
| Ethiopia |
0 |
1 |
2 |
0 |
13 |
5 |
0 |
0 |
11 000 |
| Fiji |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| France |
2 |
0 |
0 |
22 |
0 |
0 |
0 |
0 |
0 |
| Georgia |
0 |
2 |
2 |
0 |
9 |
6 |
0 |
2 190 |
25 300 |
| Germany |
0 |
1 |
1 |
0 |
1 |
0 |
0 |
1 500 |
150 |
| Greece |
7 |
8 |
5 |
45 |
197 |
2 |
126 116 |
139 131 |
4 518 |
| Guadeloupe |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
100 |
| Guam |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Guatemala |
8 |
6 |
4 |
25 |
39 |
42 |
14 000 |
30 348 |
2 987 |
| Guinea |
1 |
0 |
0 |
275 |
0 |
0 |
20 000 |
0 |
0 |
| Honduras |
3 |
0 |
3 |
12 |
0 |
7 |
500 |
0 |
51 720 |
| Iceland |
2 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
129 |
| India |
8 |
5 |
4 |
680 |
11 391 |
37 705 |
20 000 800 |
550 500 |
5 012 599 |
| Indonesia |
30 |
30 |
49 |
938 |
3 454 |
174 845 |
546 991 |
403 915 |
6 412 196 |
| Iran (Islamic Republic of) |
18 |
20 |
24 |
3 388 |
42 875 |
27 757 |
67 830 |
706 935 |
660 787 |
| Iraq |
0 |
1 |
0 |
0 |
20 |
0 |
0 |
0 |
0 |
| Italy |
9 |
5 |
6 |
4 705 |
35 |
327 |
431 300 |
7 900 |
230 |
| Japan |
12 |
10 |
17 |
127 |
5 589 |
81 |
41 099 |
327 587 |
154 949 |
| Kazakhstan |
0 |
0 |
1 |
0 |
0 |
3 |
0 |
0 |
36 000 |
| Kenya |
0 |
1 |
1 |
0 |
0 |
1 |
0 |
0 |
0 |
| Kyrgyzstan |
0 |
3 |
3 |
0 |
58 |
74 |
0 |
105 368 |
15 000 |
| Lebanon |
1 |
0 |
0 |
20 |
0 |
0 |
0 |
0 |
0 |
| Liberia |
1 |
0 |
0 |
46 |
0 |
0 |
200 |
0 |
0 |
| Malawi |
1 |
0 |
2 |
9 |
0 |
4 |
0 |
0 |
0 |
| Malaysia |
0 |
1 |
1 |
0 |
72 |
80 |
0 |
0 |
0 |
| Maldives |
0 |
0 |
1 |
0 |
0 |
102 |
0 |
0 |
12 000 |
| Martinique |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
0 |
| Mexico |
8 |
14 |
4 |
9 684 |
131 |
29 |
2 034 000 |
286 343 |
218 830 |
| Montserrat |
0 |
3 |
1 |
0 |
32 |
0 |
0 |
13 000 |
200 |
| Morocco |
1 |
0 |
1 |
31 |
0 |
628 |
0 |
0 |
0 |
| Mozambique |
0 |
0 |
1 |
0 |
0 |
4 |
0 |
0 |
0 |
| Myanmar |
0 |
2 |
1 |
0 |
0 |
71 |
0 |
160 |
12 500 |
| Nepal |
2 |
1 |
0 |
809 |
0 |
0 |
500 000 |
230 |
0 |
| Netherlands |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| New Zealand |
1 |
1 |
0 |
1 |
0 |
0 |
7 000 |
70 |
0 |
| Nicaragua |
0 |
7 |
1 |
0 |
180 |
7 |
0 |
323 610 |
1 785 |
| Pakistan |
7 |
8 |
6 |
339 |
413 |
73 576 |
12 975 |
174 755 |
1 151 699 |
| Panama |
0 |
2 |
2 |
0 |
30 |
2 |
0 |
10 500 |
1 000 |
| Papua New Guinea |
6 |
7 |
11 |
87 |
2 244 |
17 |
31 000 |
126 999 |
45 299 |
| Peru |
9 |
9 |
7 |
54 |
292 |
749 |
23 156 |
182 975 |
888 911 |
| Philippines |
6 |
13 |
9 |
371 |
3 223 |
26 |
71 875 |
3 041 063 |
330 400 |
| Poland |
1 |
0 |
0 |
0 |
0 |
0 |
1 050 |
0 |
0 |
| Romania |
0 |
3 |
0 |
0 |
9 |
0 |
0 |
1 845 |
0 |
| Russian Federation |
0 |
6 |
6 |
0 |
2 061 |
18 |
0 |
7 750 |
17 273 |
| Rwanda |
0 |
0 |
2 |
0 |
0 |
81 |
0 |
0 |
1 535 |
| Saint Lucia |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
| Samoa |
0 |
0 |
1 |
0 |
0 |
148 |
0 |
0 |
5 275 |
| Seychelles |
0 |
0 |
1 |
0 |
0 |
3 |
0 |
0 |
4 760 |
| Slovenia |
0 |
1 |
1 |
0 |
0 |
1 |
0 |
0 |
600 |
| Solomon Islands |
1 |
0 |
1 |
1 |
0 |
52 |
0 |
0 |
2 375 |
| Somalia |
0 |
0 |
1 |
0 |
0 |
298 |
0 |
0 |
104 800 |
| South Africa |
3 |
2 |
1 |
34 |
25 |
2 |
285 |
0 |
0 |
| Spain |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Sri Lanka |
0 |
0 |
1 |
0 |
0 |
35 399 |
0 |
0 |
516 130 |
| Sudan |
0 |
2 |
0 |
0 |
3 |
0 |
0 |
8 000 |
0 |
| Tajikistan |
0 |
1 |
6 |
0 |
12 |
17 |
0 |
0 |
29 588 |
| Thailand |
0 |
1 |
1 |
0 |
0 |
8 345 |
0 |
0 |
58 550 |
| Tonga |
0 |
0 |
1 |
0 |
0 |
9 |
0 |
0 |
500 |
| Trinidad and Tobago |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Turkey |
7 |
13 |
15 |
1 367 |
19 137 |
252 |
1 571 415 |
2 768 590 |
531 460 |
| Turkmenistan |
0 |
0 |
1 |
0 |
0 |
11 |
0 |
0 |
0 |
| Uganda |
1 |
3 |
0 |
0 |
7 |
0 |
2 000 |
50 000 |
0 |
| United Kingdom |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
4 500 |
| United Rep. of Tanzania |
0 |
0 |
5 |
0 |
0 |
15 |
0 |
0 |
5 750 |
| United States |
10 |
9 |
6 |
167 |
65 |
3 |
4 150 |
3 345 |
30 619 |
| Uzbekistan |
0 |
2 |
0 |
0 |
10 |
0 |
0 |
50 000 |
0 |
| Vanuatu |
1 |
6 |
7 |
0 |
112 |
0 |
0 |
12 000 |
19 900 |
| Venezuela (Bolivarian Republic of) |
5 |
1 |
0 |
18 |
80 |
0 |
300 |
0 |
0 |
| Wallis and Futuna Islands |
0 |
1 |
0 |
0 |
5 |
0 |
0 |
0 |
0 |
| Yemen |
0 |
1 |
1 |
0 |
10 |
6 |
0 |
0 |
0 |
| |
| Sources: |
| EM-DAT: The OFDA/CRED International Disaster Database – www.emdat.be– Université catholique de Louvain – Brussels – Belgium. |
| |
| Definitions & Technical notes: |
| Geophysical disasters are defined as events originating from solid earth and are classified as: Earthquakes (ground shaking and tsunamis), Volcanic Eruptions, and Dry Mass Movements (rock fall, avalanche, landslide, subsidence). |
Only disasters that fulfil at least one of the below criteria are included in EM-DAT:
- 10 or more people reported killed
- 100 or more people reported affected
- Declaration of a state of emergency
- Call for international assistance |
| Fatalities are the number of Killed according to the EM-DAT definitions. Killed is defined as persons confirmed as dead and persons missing and presumed dead (official figures when available). |
| Persons affected are the number of Total affected according to the EM-DAT definitions. Total affected is the sum of injured, homeless, and affected. Injured is defined as people suffering from physical injuries, trauma or an illness requiring medical treatment as a direct result of a disaster. Homeless is defined as people needing immediate assistance for shelter. Affected is defined as people requiring immediate assistance during a period of emergency; it can also include displaced or evacuated people. |
| A “0” in EM-DAT does not represent a value and can mean either there were no reported events or no information is available. |
| |
| Data Quality: |
| The EM-DAT database is compiled from various sources, including UN agencies, non-governmental organizations, insurance companies, research institutes and press agencies. Priority is given to data from UN agencies, governments and the International Federation of Red Cross and Red Crescent Societies. The entries are constantly reviewed for redundancy, inconsistencies and incompleteness. CRED consolidates and updates data on a daily basis. A further check is made at monthly intervals. Revisions are made annually at the end of each calendar year. |
| For more information see: http://www.emdat.be. |
