last update: July 2010

ENVIRONMENTAL INDICATORS

Natural disasters:

Hydrological Disasters 

     
     
 
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
16
45
70
2 629
1 218
191 000
164 355
435 796
Albania
1
4
4
57
15
4
0
46 500
80 884
Algeria
4
8
25
160
118
1 312
8 500
1 200
195 300
American Samoa
0
0
1
0
0
6
0
0
0
Angola
1
0
21
0
0
341
100 000
0
783 328
Anguilla
1
0
0
0
0
0
0
0
0
Argentina
11
10
20
136
85
77
11 838 000
377 000
707 610
Armenia
0
2
1
0
4
1
0
7 000
0
Australia
10
14
21
71
66
34
0
49 375
35 360
Austria
6
6
7
54
63
27
0
10 000
61 416
Azerbaijan
0
4
3
0
16
11
0
1 577 800
35 000
Bahamas
1
0
0
0
0
0
0
0
0
Bangladesh
16
28
23
7 064
2 944
2 417
122 843 000
57 259 593
58 601 793
Barbados
1
0
0
0
0
0
0
0
0
Belarus
0
3
0
0
2
0
0
42 000
0
Belgium
2
4
6
0
1
2
0
875
2 610
Belize
0
2
1
0
0
1
0
2 600
38 000
Benin
3
7
4
61
37
35
913 000
774 901
287 884
Bhutan
0
1
2
0
22
200
0
600
0
Bolivia
7
9
13
304
209
430
378 000
356 000
1 431 485
Bosnia and Herzegovina
0
0
7
0
0
6
0
0
294 230
Botswana
1
1
4
8
20
3
12 000
3 500
116 392
Brazil
27
28
39
1 741
764
1 099
8 463 335
209 523
4 055 552
Bulgaria
0
1
11
0
0
52
0
200
13 260
Burkina Faso
3
2
8
16
28
67
24 824
67 300
259 640
Burundi
1
0
16
12
0
36
3 600
0
28 965
Cambodia
0
5
8
0
672
455
0
2 613 574
6 644 182
Cameroon
1
3
6
2
32
72
1 000
0
24 500
Canada
5
6
18
3
25
9
4 500
37 900
16 070
Cape Verde
0
0
1
0
0
3
0
0
0
Central African Republic
0
5
6
0
7
6
0
37 957
6 000
Chad
2
4
8
43
41
173
47 450
168 849
363 883
Chile
6
5
14
203
300
74
178 482
135 293
641 570
China
46
58
124
14 562
19 173
6 717
139 198 619
967 088 327
525 648 482
China, Hong Kong SAR
8
4
1
30
87
0
2 692
5 560
0
Colombia
15
25
34
1 459
532
1 265
398 800
406 539
4 488 763
Comoros
0
0
1
0
0
2
0
0
2 500
Congo
0
3
4
0
2
7
0
76 500
25 000
Costa Rica
2
5
14
8
27
51
11 350
227 372
284 189
Cote d'Ivoire
1
1
3
0
28
33
7 000
0
2 450
Croatia
0
0
4
0
0
0
0
0
2 050
Cuba
4
10
6
38
65
4
265 036
671 773
75 775
Czech Republic
0
3
6
0
36
38
0
87 785
218 765
Dem. Rep. of the Congo
1
4
12
0
64
151
148
106 000
31 370
Djibouti
2
2
1
35
145
51
252 000
120 000
98 500
Dominican Republic
3
4
9
32
43
723
1 342 045
20 000
110 965
Ecuador
6
5
11
542
717
227
946 000
246 907
413 630
Egypt
0
5
2
0
624
18
0
110 920
800
El Salvador
4
4
8
565
39
83
89 060
14 950
7 332
Eritrea
0
0
2
0
0
0
0
0
7 000
Ethiopia
5
16
24
54
469
1 443
75 240
694 130
1 220 949
Fiji
2
0
7
29
0
26
215 000
0
12 280
Finland
0
0
1
0
0
0
0
0
400
France
9
13
18
65
94
44
4 300
5 890
53 661
French Guiana
0
1
0
0
0
0
0
0
0
French Polynesia
1
2
0
10
13
0
0
500
0
Gabon
1
0
0
0
0
0
10 000
0
0
Gambia
0
2
4
0
53
6
0
31 000
14 808
Georgia
0
4
4
0
8
1
0
600
3 100
Germany
0
7
6
0
19
29
0
205 200
331 450
Ghana
1
3
7
7
202
112
2 800
2 791 573
691 345
Greece
0
3
14
0
26
15
0
1 900
12 180
Guadeloupe
1
0
0
0
0
0
0
0
0
Guatemala
4
4
14
714
104
264
32 500
9 983
314 356
Guinea
1
1
5
0
0
11
5 000
6 066
286 085
Guinea-Bissau
0
0
3
0
0
3
0
0
0
Guyana
1
1
4
0
0
44
0
28 000
409 774
Haiti
13
4
20
208
44
2 910
167 390
5 040
355 119
Honduras
5
8
9
19
624
106
45 200
724 447
334 275
Hungary
0
4
8
0
8
1
0
131 441
45 814
Iceland
2
2
0
4
34
0
280
63
0
India
43
58
109
13 591
14 504
14 275
152 544 200
278 980 700
238 302 253
Indonesia
36
30
88
1 771
1 013
3 836
1 437 021
2 092 825
3 685 941
Iran (Islamic Republic of)
13
30
22
1 534
1 319
764
1 140 200
887 451
1 412 850
Iraq
0
0
5
0
0
26
0
0
70 890
Ireland
1
1
2
0
3
0
0
3 500
300
Israel
0
2
0
0
15
0
0
1 000
0
Italy
6
8
17
59
248
103
10 000
12 063
58 000
Jamaica
3
2
2
63
24
10
66 000
554 290
30 000
Japan
12
11
12
708
221
157
214 000
64 930
455 028
Jordan
1
2
0
9
10
0
0
18 000
0
Kazakhstan
0
1
5
0
10
49
0
30 000
44 168
Kenya
1
4
30
75
170
592
3 000
900 000
1 246 738
Kiribati
0
0
1
0
0
0
0
0
0
Korea, Dem. People's Rep.
2
6
9
315
276
1 229
20 000
9 019 136
1 203 630
Korea, Republic of
5
10
11
288
783
198
354 984
247 336
337 831
Kuwait
0
1
0
0
2
0
0
200
0
Kyrgyzstan
0
3
7
0
163
90
0
45 000
1 481
Lao People's Dem. Rep.
2
6
5
14
40
33
2 000
1 533 400
1 257 190
Lebanon
1
0
1
0
0
0
1 500
0
17 000
Lesotho
2
1
0
18
22
0
180 000
0
0
Liberia
0
1
3
0
10
3
0
5 000
17 584
Libyan Arab Jamahiriya
0
1
0
0
0
0
0
0
0
Lithuania
0
0
1
0
0
0
0
0
0
Luxembourg
1
1
0
0
0
0
0
0
0
Madagascar
1
1
4
0
0
52
28 223
20 000
111 488
Malawi
2
6
15
13
477
91
6 000
417 000
1 159 276
Malaysia
4
6
24
51
101
122
102 576
24 918
369 564
Maldives
1
0
1
0
0
0
300
0
1 649
Mali
2
3
11
18
5
63
14 635
3 784
89 071
Marshall Islands
0
0
1
0
0
0
0
0
600
Mauritania
2
3
9
0
0
45
9 000
4 208
98 120
Mexico
10
14
28
255
1 243
413
125 000
817 500
1 893 220
Micronesia, Federated States of
0
0
1
0
0
0
0
0
0
Mongolia
1
2
3
0
46
41
0
0
15 500
Montenegro
0
0
2
0
0
0
0
0
1 536
Morocco
1
5
12
1
876
221
10 000
98 000
57 850
Mozambique
3
3
15
10
145
1 012
1 000 000
470 000
6 212 111
Myanmar
0
5
9
0
169
143
0
487 795
223 668
Namibia
0
0
9
0
0
148
0
0
474 300
Nepal
13
13
16
1 687
2 765
1 839
621 500
743 065
2 277 432
Netherlands
0
3
0
0
1
0
0
15 000
0
New Zealand
15
7
6
6
0
4
17 007
1 155
6 850
Nicaragua
1
2
8
0
15
56
40 000
206 411
66 866
Niger
1
4
7
20
74
34
80 000
11 606
222 549
Nigeria
3
6
28
130
134
568
6 000
260 000
532 865
Norway
0
1
2
0
1
0
0
4 000
2 100
Occupied Palestinian Territory
0
0
1
0
0
0
0
0
0
Pakistan
9
20
41
614
4 375
2 504
302 900
14 581 376
9 562 094
Panama
2
4
15
3
14
66
4 500
21 000
89 097
Papua New Guinea
2
5
11
56
240
85
13 000
104 000
89 256
Paraguay
3
6
2
76
55
0
215 000
430 575
14 800
Peru
20
15
20
2 021
738
326
1 048 500
610 700
659 997
Philippines
20
37
51
867
1 291
2 216
850 791
5 284 292
4 319 639
Poland
3
2
5
0
64
30
19 500
163 700
19 850
Portugal
2
2
5
49
10
9
2 900
3 050
348
Puerto Rico
3
1
3
626
18
4
0
600
11 705
Republic of Moldova
0
3
3
0
56
4
0
28 108
11 000
Romania
1
8
32
0
197
214
2 000
27 418
202 778
Russian Federation
0
19
32
0
460
486
0
1 200 404
872 104
Rwanda
1
0
8
48
0
135
21 628
0
40 795
Saint Kitts and Nevis
1
0
0
0
0
0
0
0
0
Saint Lucia
0
1
0
0
0
0
0
175
0
Samoa
0
0
1
0
0
0
0
0
0
Saudi Arabia
1
0
7
32
0
260
0
0
13 450
Senegal
3
3
7
0
0
51
8 000
305 000
523 177
Serbia
0
0
2
0
0
0
0
0
15 580
Seychelles
0
1
0
0
5
0
0
1 125
0
Sierra Leone
0
1
4
0
12
133
0
200 000
20 955
Slovakia
0
3
6
0
56
4
0
46 057
330
Slovenia
0
0
1
0
0
0
0
0
0
Solomon Islands
0
0
2
0
0
21
0
0
7 000
Somalia
4
5
19
39
2 434
140
80 000
1 010 600
713 550
South Africa
3
9
14
635
314
152
65 000
25 100
118 116
Spain
6
4
8
139
100
35
728 600
4 400
6 030
Sri Lanka
10
17
17
483
170
348
1 699 485
1 519 425
3 737 043
St. Vincent and the Grenadines
2
1
0
0
3
0
1 142
200
0
Sudan
3
11
13
96
330
242
1 602 000
1 288 006
1 408 246
Suriname
0
0
2
0
0
5
0
0
31 548
Swaziland
0
0
2
0
0
0
0
0
274 500
Sweden
1
0
0
11
0
0
0
0
0
Switzerland
3
3
6
0
33
27
2 000
0
7 381
Syrian Arab Republic
0
0
2
0
0
86
0
0
0
Tajikistan
0
11
21
0
1 723
146
0
311 081
470 664
Thailand
8
18
33
872
527
997
3 564 501
10 499 912
13 013 634
The Former Yugoslav Rep. of Macedonia
0
1
6
0
0
2
0
1 500
109 750
Timor-Leste
0
0
5
0
0
5
0
0
4 505
Togo
0
5
4
0
3
47
0
215 405
174 615
Trinidad and Tobago
0
2
1
0
5
2
0
200
1 200
Tunisia
2
1
5
140
37
45
30 000
152 000
33 500
Turkey
6
10
22
202
475
247
61 505
1 516 200
111 476
Turkmenistan
0
1
0
0
0
0
0
300
0
Uganda
0
3
14
0
120
139
0
163 000
489 066
Ukraine
0
6
6
0
27
49
0
2 035 000
538 665
United Kingdom
0
8
15
0
17
26
0
1 930
350 830
United Rep. of Tanzania
4
11
12
10
421
175
187 556
357 991
71 248
United States
22
52
57
140
382
314
118 550
642 840
11 317 806
Uruguay
1
3
7
0
1
14
16 000
15 500
142 200
Uzbekistan
0
1
1
0
24
0
0
0
1 500
Vanuatu
1
0
2
1
0
0
0
0
3 950
Venezuela (Bolivarian Republic of)
6
8
12
260
30 052
160
39 480
452 547
128 421
Viet Nam
4
17
41
385
2 237
2 109
3 466 000
7 249 289
10 961 710
Yemen
0
7
16
0
446
412
0
153 490
28 075
Zambia
1
1
11
0
0
60
800 000
1 300 000
3 013 620
Zimbabwe
0
1
5
0
36
112
0
0
265 000
 
Sources:
EM-DAT: The OFDA/CRED International Disaster Database – www.emdat.be– Université catholique de Louvain – Brussels – Belgium.
 
Definitions & Technical notes:
Hydrological disasters are defined as events caused by deviations in the normal water cycle and/or overflow of bodies of water caused by wind set-up. Such events are further classified as: Flood (river flood, flash flood, storm surge/coastal flood), and Wet Mass Movement (rock fall).
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.
 
 
 
United Nations Statistics Division - Environment Statistics