UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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English Data
Region:
Mali
- [mli]
Profile:
Select what profile you want:
Disaster type
Multi-hazard profile
ACCIDENT
LOCUST CRISIS
FLOOD
DROUGHT
Epizooty
EPIDEMIC
FOREST FIRE
FIRE
BEETLE
PEAT
THUNDERSTORM
GRANIVORE BIRDS
FOWL SMALLPOX
Chenille
INTOXICATION
Rodent
WINDSTORM
HAILSTORM
Province
ALL
DISTRICT BAMAKO
GAO
KAYES
KIDAL
KOULIKORO
MOPTI
SEGOU
SIKASSO
TOMBOUCTO
Mali
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 disasters occurred in the region.
Click here for more info
Composition of Disasters
Deaths
DataCards
Indirectly Affected + Directly affected
Houses Destroyed + Houses Damaged
Temporal Behaviour
Deaths
DataCards
Houses Destroyed , Houses Damaged
Indirectly Affected, Directly affected
>
Spatial Distribution
Deaths
DataCards
Houses Destroyed + Houses Damaged
Indirectly Affected + Directly affected
Statistics
Composition of Disasters
get it as Excel
Event
DataCards
Deaths
Injured
Missing
Houses
Destroyed
Houses
Damaged
Indirectly Affected
Directly affected
Relocated
Evacuated
Losses $USD
Losses $Local
Education centers
Hospitals
Damages in crops Ha.
Lost Cattle
Damages in roads Mts
BEETLE
18
390
Chenille
6
158
DROUGHT
816
16537371
589
500500
EPIDEMIC
449
135
996
3125
Epizooty
682
289190
33805
FIRE
14
6
430
71
368
646
51
FLOOD
833
1314
428
34
48992
10161
98205
249117
2350
450
2120082240
72
14202
13079
7
FOREST FIRE
44
10143
90
FOWL SMALLPOX
7
52
11692
GRANIVORE BIRDS
8
115
HAILSTORM
1
13250
INTOXICATION
3
390
LOCUST CRISIS
856
624068
3457
283914
PEAT
16
Rodent
2
30
THUNDERSTORM
8
9
2
28
3
208
WINDSTORM
2
6
43
146
Spatial Distribution
get it as Excel
Geography
Code
DataCards
Deaths
Injured
Missing
Houses
Destroyed
Houses
Damaged
Indirectly Affected
Directly affected
Relocated
Evacuated
Losses $USD
Losses $Local
Education centers
Hospitals
Damages in crops Ha.
Lost Cattle
Damages in roads Mts
DISTRICT BAMAKO
9
113
92
38
15
9751
1557
6052409
20940
315
2250000
506398
GAO
7
415
8
3
462
160
1309537
3128
165
160001036
74162
3089
KAYES
1
578
1108
170
2
7568
3232
2904521
57109
1059374140
61
3461
6970
KIDAL
8
357
5
85
168
47971
1976
333
42641
232
KOULIKORO
2
514
49
32
17
4657
554
1679817
17615
462
46325500
8618
11450
MOPTI
5
474
80
33
2627
574
3453555
16517
115
450
101474876
1
15262
1976
SEGOU
4
527
63
38
14522
1924
425495
100728
285
593257096
6
19750
6054
SIKASSO
3
350
80
103
6238
1680
258634
17667
230
91610000
3
112
8828
7
TOMBOUCTO
6
437
25
25
3583
383
1443204
21790
445
65789592
1
144947
2736
Temporal Behaviour
get it as Excel
Year
DataCards
Deaths
Injured
Missing
Houses
Destroyed
Houses
Damaged
Indirectly Affected
Directly affected
Relocated
Evacuated
Losses $USD
Losses $Local
Education centers
Hospitals
Damages in crops Ha.
Lost Cattle
Damages in roads Mts
1906
2
1005
4
1183
3012
1400
1954
15
1246
1421
60
7
1973
1
6000000
500000
1974
1
100
500
1984
55
2588
1728
1985
13
627
282
1986
27
912
531
1991
53
864
408
1992
70
1214
643
1993
53
2218
927
1994
24
40
312
975
268
394
1995
69
45
2
145
2112
54
901
1996
4
2
37
7576
2000
1997
4
6
70
1998
4
8
180
294
123
1999
67
24
7
1
1749
1639
250
8201
504125000
4
870
2624
2000
1
13692
2001
46
1189
580234
2180
9
2002
169
1
1
2273835
2
500
2003
103
5
13
2289
41
636952
5045
12
2381
114
2004
938
1
1
11
160
1290905
350000
281736
483
2005
171
20
3
1468319
792
2006
132
8
6
1018
207
361691
3677
105
9200
2007
351
77
36
5924
67
169212
51895
600000
4766
1490
2008
332
43
764
25
435205
3419
1802
2214
2009
108
29
27
2
3275
188
7670
26620
1612507228
17
323
2212
2010
331
132
228
9925
984
555435
48989
2350
51
5584
4380
2011
153
33
10
2136
110
42579
18463
2500000
5917
12943
2012
409
21
51
9795
4060
3717654
62857
450
4519
3139
2013
39
43
12
18
863
1126
18130
885
149
2014
20
7
7
10
15
1019
10000
614
4
270
Mali
Summary:
DataCards: 3765
Period:
1906 - 2014
Highest Mortality:
FLOOD: 1314 Deaths; 833 DataCards
EPIDEMIC: 135 Deaths; 449 DataCards
FOWL SMALLPOX: 52 Deaths; 7 DataCards
Highest Housing Damages:
FLOOD: 59153 Houses; 833 DataCards
FIRE: 501 Houses; 14 DataCards
WINDSTORM: 43 Houses; 2 DataCards