UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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Region:
Mauritius
- [mus]
Profile:
Select what profile you want:
Mauritius
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
AIRCRAFT DISASTER/MISSES
2
161
BOAT CAPSIZED
27
23
22
34
CHEMICAL SPILLS
2
300
CYCLONES
76
134
2439
1
41788
131620
205260
826263
2611
12135246000
132
DROUGHT
17
2500000000
5373441136
212
EARTH TREMORS
4
EPIDEMICS
4
11108
20000000
EXPLOSIONS
22
14
121
3
1000
FIRE HAZARDS
428
95
56
13
118
27
3928
7
125
75000000
1179591000
2493
FLASH FLOODS
573
28
2
8
1637
15478
11
6
1035850350
GAS SPILLS
5
2
3030
40
HEAT WAVE
1
INDUSTRIAL POLLUTION
4
LANDSLIDES
12
40
120
15000000
OIL SPILLS
9
5
PEST
1
125
PORT AREA HAZARD
4
10
1
ROAD ACCIDENTS
869
1064
617
6
5
1
5
SOCIAL UNREST
2
1
455000000
STORM SURGE
1
TERRORIST ATTACK
1
1
TIDAL WAVES
9
8
45
26
750000
TORRENTIAL RAINS
1545
9
1
2413
52119
2
20
1009365402
10
TSUNAMI
3
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
AGALEGA
4
2
1
30
1
68
30
1
MAURITIUS
1
3565
1510
3133
36
41471
135560
284167
826283
125
2616
2575000000
21061960888
2628
RODRIGUES
2
43
21
79
3
421
184
8177
60
162283000
344
ST-BRANDON
3
11
18
19
16
2
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
1960
3
91
1828
40000
120000
168240
290583000
1961
1
28531000
1962
1
28000000
1964
1
47165000
1967
3
23524
5129000
1971
1
10
1972
1
2
1783000
1975
18
24
110
1
11320
826258
367140000
1976
6
7
7
1
1977
6
8
11
6
1978
7
3
1
50000000
1979
16
9
48
3
50000000
1980
24
12
31
2
26
2178
2000
1051000000
1981
25
21
110
4
190
420000000
1982
11
11
15
2
50020000
1983
13
6
37
1
70
2
20
1
218000000
1984
46
30
1
8
7
250215000
40
1985
29
28
29
2
6
147
25
1986
5
2
3
1987
18
167
12
3
165
25160000
25
1988
25
14
48
9
15
8
30
1989
17
20
546
844
1
10
431203000
1990
8
32
90
15000000
1991
23
16
19
201
7500
10000000
1992
18
10
27
3
1025
6000000
1993
23
33
47
7
1
100
550000000
1994
22
19
12
14
452
1
2300
2
1500000000
1995
72
40
23
4
48
300
2033327000
1996
100
5
105
204
3
2
810000000
373
1997
146
19
34
14
85
7
10000000
1998
83
7
22
7
2
70
3004
50
1085000000
125
1999
82
43
94
5
2
42
2500000000
3035400000
212
2000
290
11
6
289
12400
716860000
10
2001
159
6
11
176
1000000
2002
31
19
31
8
138
1350
500
1290500000
2003
152
188
4
217
1
3365
125
1360000000
132
2004
36
15
2
6
250000
2005
165
6
39
2
6
295
500
567750000
2006
214
6
12
1
4
227
11218
20580000
2007
299
159
6
8
378
261
1222450000
2008
556
22
6
2
809
24202
2
40
1421850350
2009
307
141
2
12
4
160
4430
3773565
2010
193
140
15
2
1
38
170
5606136
2011
56
8
13
3
21
6670
75000000
30972837
2012
185
143
4
58
100
80010000
2000
2013
100
26
9
19
1081
18655
11
84
1112435000
2014
24
10
1
34
335
1021550000
25
Mauritius
Summary:
DataCards: 3621
Period:
1960 - 2014
Highest Mortality:
ROAD ACCIDENTS: 1064 Deaths; 869 DataCards
AIRCRAFT DISASTER/MISSES: 161 Deaths; 2 DataCards
CYCLONES: 134 Deaths; 76 DataCards
Highest Housing Damages:
CYCLONES: 173408 Houses; 76 DataCards
TORRENTIAL RAINS: 2414 Houses; 1545 DataCards
FLASH FLOODS: 1645 Houses; 573 DataCards