UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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Region:
Senegal
- [sen]
Profile:
Select what profile you want:
Senegal
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.
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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
BIRD INFESTATION
17
1726
COASTAL EROSION
65
2
60
984
400000
DROUGHT
36
DROWNING
468
726
70
22
11
3
DRY SPELL
13
1104
EPIDEMIC
48
33
11078
EXTREME TEMPERATURE
2
13
FIRE
580
108
100
161
938
2197
2865
26416511
666
17
3
5
231
FLOOD
149
64
23
8
267
68963
426769
7373
240319
466
187637
544000
4
2
5038
INDUSTRIAL DISASTER
2
147
LAND DEGRADATION
4
5016
LIGHTNING
66
90
63
10
7
LOCUST
30
110066
29466
RAIN OUT OF SAISON
3
13
37000
ROAD ACCIDENT
4278
906
7774
4
2
2
43
16
SINKING
43
2076
78
30
5
93
30141
STORM
13
2
18
22
STRONG WIND
29
30
14
122
7
1
133
15450
2
1
STRUCTURAL COLLAPSE
144
94
433
27
184
1
10
SWELL
29
1
42
95
59782
WILD FIRE
1474
1
1622602
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
DAKAR
01
4714
945
6029
27
33
64082
393553
633
319
62
4863906
400666
12
3
91
DIOURBEL
02
251
154
762
218
132
31665
110
20510150
2
46426
2
FATICK
03
111
104
197
10
4
838
5060
2698
131
80000
1
1
21768
KAFFRINE
14
168
76
97
10
569
5480
188
1863
59890
174
KEDOUGOU
05
196
24
22
505
2
700
695000
52108
KOALACK
04
155
131
267
6
360
335
1495
430
16000
18466
3
KOLDA
06
267
75
150
88
465
22448
1522
245892
84000
3
1
104969
33
LOUGA
07
195
65
100
77
14951
3
9200
158708
37014
MATAM
08
137
87
38
4
126
28975
20000
276768
SAINT LOUIS
09
247
279
200
53
10
87
19448
994
240000
103
71462
60000
2
113363
SEDHIOU
10
189
52
120
2
1
54
514
70000
5
47990
3
TAMBACOUNDA
11
451
55
116
7
59
213
2890
187637
4
1
705614
25
THIES
12
271
290
349
59
2
2644
28418
1
57
279950
2
6070
ZIGUINCHOR
13
141
1966
110
78
30
13
376
26
58461
2
51665
Temporal Behaviour
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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
1980
3
1981
3
1982
8
1983
3
1984
4
1985
4
1986
4
1987
4
1988
4
1989
5
3000
1990
7
1991
7
1992
8
129
1993
3
1
1994
4
240000
1995
2
1996
2
1997
3
1998
2
1999
6
19
73
2000
3
2001
4
6
2002
18
1894
1
66
200000
37000
2003
35
6
1
6
320
110196
300
2004
178
25
372
2
3
89
18
2005
1373
77
1764
4
1
3249
66436
3
1
2006
716
53
795
22
9
50
4243
100
2007
396
113
589
194
18461
166
1412
2008
247
44
164
1
25037
4
62000
2
52516
2009
898
69
791
4
1
28059
300001
500
1
123736
25
2010
753
215
791
2
55
757
22116
2223
300906
144000
2
1
1217333
2011
849
193
1150
4
32
395
2
2577
1177637
500
2
1
29493
2012
482
291
553
8
15
582
2110
1
436
1185592
4
114449
5
2013
745
610
747
73
261
9645
41255
4995
319
283
2831972
11
2
54925
17
2014
703
557
837
43
82
1873
1711
1110
92
21321713
400000
11
1
69099
107
2015
7
1
3
3
1
10740
933
Senegal
Summary:
DataCards: 7493
Period:
1980 - 2015
Highest Mortality:
SINKING: 2076 Deaths; 43 DataCards
ROAD ACCIDENT: 906 Deaths; 4278 DataCards
DROWNING: 726 Deaths; 468 DataCards
Highest Housing Damages:
FLOOD: 69230 Houses; 149 DataCards
FIRE: 946 Houses; 348 DataCards
STRUCTURAL COLLAPSE: 211 Houses; 144 DataCards