UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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English Data
Region:
Lao HistoricalDB
- [lao2]
Profile:
Select what profile you want:
Disaster type
Multi-hazard profile
FIRE
FLOOD
STORM
DROUGHT
EPIDEMIC
PLAGUE
EXTREAM RAIN
ACCIDENT
COLD WAVE
FLASH FLOOD
FOREST FIRE
LOCAL STORM
LIGHTNINGS
LANDSLIDE
ELEPHANT ATTACK
BOAT CAPSIZE
Province
ALL
Khamuane
Champassack
Savannakhet
Saravane
Xiengkhuang
Sekong
Xaysomboun
Xayaboury
Bokeo
Borikhamxay
Phongsaly
Vientiane
Luangnamtha
Luang Prabang
Huaphanh
Attapeu
Oudomxay
Vientiane Mun.
Lao HistoricalDB
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
ACCIDENT
42
92
764
637
1837921000
BOAT CAPSIZE
1
10
COLD WAVE
38
3
32
643
265
7719195000
195
2852
DROUGHT
153
6117
528950
266
62281368
18586553838
827205
1876
39
ELEPHANT ATTACK
4
84
8400
8400
10
EPIDEMIC
102
186
7122
2
11
7211
774
23
122600
6753778600
143
EXTREAM RAIN
61
4
42
16
2635
166798
104372885998
3
914
4322
FIRE
1431
41
48
1486
1036
50253
1062
75
170933200
51891435387
25
2
185524
FLASH FLOOD
28
2
11
138
2440
850240
26635093083
806
FLOOD
1318
154
46442
3
18398
69370
3514692
464082
4691
2640
2153464225
4480016530432
299
19
674593886
13701
181710
FOREST FIRE
13
204
1
676
1
112000
112000
260
LANDSLIDE
6
4
16
253848880210
24
LIGHTNINGS
11
1
11
32
16
284
832000
832000
LOCAL STORM
11
4
74
3130
8000
1106954508
63
3
PLAGUE
68
304640
16633
16132360
5423680360
43297
1258
STORM
726
45
222
3
2768
51038
564097
1578
1241
41
662029642
173159495676
174
36
60730490
11925
13931
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
Attapeu
17
123
5
3
243
244
12672
62214
5726120
1828346120
2
4636
147
51131
Bokeo
05
320
5
57
718
1007
66493
7686
85431800
270447512840
7
60032068
161
Borikhamxay
11
182
8
11336
1477
353158
5413
147
266825205
37808302408
56
1
58077
458
106
Champassack
16
318
29
3171
2559
1043
685024
16445
657
90347768
29156126975
30
119569
2073
26185
Huaphanh
07
197
11
10
30
4657
465159
6929
77010600
43667056100
24
507048570
1159
474
Khamuane
12
198
11
31371
1290705
96267
941850074
921975143198
122
14
890270
9437
841
Luangnamtha
03
156
1
1375
163
66549
10262
1551
32853778
5832506778
3
258
38
505
Luang Prabang
06
349
17
14
1
438
230
71021
1203
22592900
40444293100
10
21427
109
450
Oudomxay
04
272
21
54
484
1486
404069
28024
91139122
43180248782
11
546492
475
535
Phongsaly
02
173
4
571
21
108
126042
3360
4397992
535994880462
68
3955
69
1257
Saravane
14
287
17
3
7546
112
326471
51162
148
1106
358690919
129475525177
75
10
166556481
10719
273
Savannakhet
13
95
6
45234
41599
369347
52963
373335892
2133877424
5
53833
14
102
Sekong
15
259
30
1220
1317
4619
185303
10383
1155
73100328
28828446649
39
12
2868
1879
10480
Vientiane
10
205
26
841
123
4946
147741
26932
65855400
148580262339
23
2
45781
326
76
Vientiane Mun.
01
326
11
39
472
27911
354096
71443
3824
501375575
2313604673220
7
4
955237
781
36994
Xayaboury
08
391
304
3610
1
2109
725
14180
34612
76
47
62665952
121833440733
21
2
28324
410
56021
Xaysomboun
18
7
1
4
22000
19422595050
2
1
89
Xiengkhuang
09
155
36
31
1
94
2
41701
13719408
437140119137
4
3
14806
3438
14572
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
1990
1
6
95
257
150000000
1991
1
2
12
15000000
1992
4
4
102
1
80
3468000
3468000
1
4325
1993
6
230
9
200
3633600
23040600
4542
1994
7
12
2
250
75
2120400
3120400
1
2548
1995
18
2
1689
6
2716800
7216860
3719
1996
34
9
13
43
26888
68307
600
266979000
299179000
4
63474
11
1997
46
15
338
4
552089
31337719
230337849
39277
1998
32
68
63
568000
125228000
14
164
1999
7
40
935
31
284
23
420000
1420000
3
2000
81
40
82
3
1760
21267
207
63625200
779919200
1
62292
2001
27
4
63
1
18
551
665
16000
1333800020
38
2002
46
4
482
49
6
38845
2226
2080808
539753808
1
2586
623
2003
52
117
296
2
76
39519
1025
59426352
4503605352
15
73548
2004
74
7
201
53
133
36574
2408
5
2593648
12154776648
5
1785
12
2005
98
19
994
51
1031
336046
2334
24031368
5987922348
1
507370717
746
1000
2006
241
16
92
270
223
116803
340
56
12
13287560
4968056670
5
14791
94
21
2007
232
25
849
3
959
26391
233742
424
1551
182601184
440178932563
14
2
147341
1510
36994
2008
688
53
355
2173
5335
1017301
258370
3979
4
486113832
3545757481397
60
6
1056931
1516
2823
2009
558
59
46680
2164
5455
877951
194482
1155
3
381946312
69205695014
59
6
429835
12695
8997
2010
747
53
3072
3980
924
371025
7
147996966
560809911351
57
60128964
2254
14272
2011
629
27
42
2
18686
50750
966839
21782
669
1382438960
8432802960
211
38
165315103
8020
3250
2012
224
15
18
1
331
87
93168
78
148
41
9539124
128967400982
4
1633136
22
233
2014
54
3
2
137
138484
1065
4887648000
25
25066
1283
132411
2015
60
14
2
2052
67549
332464143610
20
5
2243
79
2016
46
6
5
317
1109
9523495860
225
2917
Lao HistoricalDB
Summary:
DataCards: 4013
Period:
1990 - 2016
Highest Mortality:
EPIDEMIC: 186 Deaths; 102 DataCards
FLOOD: 154 Deaths; 1318 DataCards
ACCIDENT: 92 Deaths; 42 DataCards
Highest Housing Damages:
FLOOD: 87768 Houses; 1318 DataCards
STORM: 53806 Houses; 726 DataCards
DROUGHT: 6117 Houses; 153 DataCards