UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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English Data
Region:
Comoros
- [com]
Profile:
Select what profile you want:
Disaster type
Multi-hazard profile
CYCLONE
FLOOD
PLAGUE
ERUPTION
FIRE
ACCIDENT
BOATS SANKING
STORM
SEA LOST
FISSURES
FOREST FIRE
ELECTRIQUE STORM
INTERVENTION EN MER
AUTHER
DROUGHT
DROUGTH
Island
ALL
Mayotte
Mwali
Ndzouani
Ngazidja
Comoros
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
ACCIDENT
9
326
4
69
AUTHER
1
1
BOATS SANKING
5
195
74
99
195
2
CYCLONE
238
640
218
60
5109
8817
449043
38706
12003
117
DROUGHT
1
ELECTRIQUE STORM
2
2
ERUPTION
30
18
293
2000
5000
FIRE
17
8
30
10
19
2
FISSURES
3
3030
FLOOD
79
3
27
2
208
175
57483
95
1778
14886000
1500
FOREST FIRE
2
INTERVENTION EN MER
1
PLAGUE
29
1025
5835
55
SEA LOST
1
1
1
2
1
1
STORM
4
67
20000
1200
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
Mayotte
4
1
20
33
Mwali
2
47
187
467
93
115
70094
30147
180
368
1200
2
Ndzouani
3
66
106
4932
62
219
1937
91247
5000
3150
821
Ngazidja
1
300
1167
775
67
5308
6959
280439
1
3478
15884
14886000
1615
8
805
15
85000
3656
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
1808
1
1814
1
1821
1
1828
1
1830
1
1848
1
1857
1
1858
1
1859
1
1860
1
1872
1
1876
1
1880
1
1883
1
1903
1
17
1904
1
1
1909
1
1918
2
1922
3
1923
2
750
1925
1
1930
2
1940
1
1948
2
1949
1
2
1950
1
524
1952
1
1957
1
1958
1
2
1959
2
1
1965
2
1966
1
1968
1
16
1972
1
1977
1
293
5000
1981
1
18
1983
3
36
52
30
805
40000
35052
1200
1984
1
35000
1987
1
50000
1991
1
1996
3
259
2002
2
3
15
15
2004
2
119
2
2005
2
2000
2006
2
20
33
2007
5
1
55
3654
15
2008
2
2009
1
152
1
2011
7
59
126
98
808
396
2012
64
2
16
160
93
55553
1554
29
2013
14
4
30
10
17
1040
2014
14
3
1
1
9
6
2
1
3030
1
2016
2
5
22
363
95
2019
229
8
101
5109
7207
344034
12013
117
2020
1
160
2022
1
14
2024
21
114
5847
34
53
337
224
14886000
1500
Comoros
Summary:
DataCards: 422
Period:
1808 - 2024
Highest Mortality:
PLAGUE: 1025 Deaths; 29 DataCards
CYCLONE: 640 Deaths; 238 DataCards
ACCIDENT: 326 Deaths; 9 DataCards
Highest Housing Damages:
CYCLONE: 13926 Houses; 238 DataCards
FLOOD: 383 Houses; 79 DataCards
ERUPTION: 293 Houses; 30 DataCards