UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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Region:
Bolivia
- [bol]
Profile:
Select what profile you want:
Bolivia
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
17
27
56
1
500
50
ALLUVION
43
17
12
5
20
51
700
1525
150
100000000
30
60000
AVALANCHE
1
16
BIOLOGICAL
11
15
14144
100000
Desbordamiento
28
2
34
497
84420
8257
DROUGHT
586
47
6
7
96
115661
1372325
8977376
60227661
773390
648469
EARTHQUAKE
26
75
74
1584
2317
12980
7930
26
1
ELECTRICSTORM
27
32
25
2
165
12082
2500
1
126
540
EPIDEMIC
242
1332
229758
200
200033
145
200
EXPLOSION
30
33
138
1
25
34
100000000
1
FIRE
140
32
131
2
183
110
2227
2832
34714000
21552000
2
4
FLOOD
2309
415
454
66
3951
9322
490366
2035025
1430
53366
161961014
487707209
58
7
621498
42075
235751
FLUJOLODO
9
2
1
13
89
650
17200
71
FORESTFIRE
211
9
6
309
148
9771
20839
96
1
2019665
17940
FROST
216
18
30
60
296026
452119
300000
58109
16630
HAILSTORM
493
84
181
370
333
64217
502220
25
2405199
16514257
7
84145
12872
HEATWAVE
5
20
1
420
LANDSLIDE
423
392
271
156
1763
2867
29537
76813
1450
93600000
647280013
9
1
9242
294
24552
LEAK
2
OTHER
5
4860
PANIC
1
1
PLAGUE
26
27180
3910
800000
3758
POLLUTION
46
43
50
22
15
27193
23895
15050
200
RAIN
81
25
21
1
140
73
60
75
60
50000
38000000
1
41274
SNOWSTORM
36
5
1
20
116
6800
54785
38
1357891
74406
SPATE
309
210
66
28
606
484
24026
423145
85
45339013
320543500
6
49628
1388
1000
STORM
8
1
5
50
STRONGWIND
115
14
23
108
4207
2707
30845
400000
39
2
3625
356
STRUCTURE
49
32
62
3
37
54
449
670
2
TORNADO
3
77
85
600
20110
139966
2
1
1
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
BENI
08
645
42
23211
1
471
2719
133765
543618
935
34710
29924658
24327661
23
210072
28500
213040
CHUQUISACA
01
396
237
4412
5
383
186
55274
452707
100000000
27973399
7
1
87603
877
COCHABAMBA
03
872
574
17807
32
3147
6429
337695
836750
3021
103150000
351000
59
2
124664
54811
22182
LA PAZ
02
1626
872
8934
162
3442
6708
233845
1821745
15
2025
139912623
1000117479
36
4
245168
488579
43690
ORURO
04
359
138
15913
236
225
10175
346171
31100000
503800
5
1
20725
4560
62000
PANDO
09
132
5
4674
72
510
4781
101775
108
444000000
32512
POTOSI
05
418
128
1037
5
79
388
134551
211545
1238
35000
8
2
1391012
50528
200
SANTA CRUZ
07
678
713
142018
8
631
3632
100093
605095
480
13995
116721281
53247010
15
2
2727784
96646
21515
TARIJA
06
372
139
13333
51
805
324
113272
399230
174
27337294
41944257
2
165091
91090
150
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
1970
34
120
3713
18
50
10
2
1540
3000
800
1971
35
411
88
5
4
7
200000000
300000
600
1972
44
241
270
5
40
300
360
175000
130
1973
49
11
134
34
115
120
1740
1000
40
1974
69
105
57
99
10
96560
72
2550
13000000
500
182
1975
31
55
105
2
3
100000
105
1976
37
46
656
5
50
45
1500
400000
1977
52
17
85
40
3
4500
1140
600000
2
2030
1978
31
29
169
60
523
200
645
360
3000
31100000
20000000
1
104
1979
84
52
77
49
80
900
5875
821
60000
1980
40
18
2125
5
1
34
1
15060
500
1981
43
13
54
16
2
35
100000
20
1982
26
66
4
305
300
6100
8000
130000
1983
30
81
4
40
21405
80
2000
1984
59
50
6
61
126
60
110
210
48
1
351
2500
1985
37
62
20
31
112
3
1225
50000
150
201
1986
58
44
2
91
160
6345
4005
3094
314
1987
50
15
2
59
203
1800
9110
200
48500
2000
1988
53
1
17
40
400
6130
850
2
620
1989
27
66
98
4
664
1
300
47
1990
50
35
558
33
36
62
108
1000000
1
3281
100
1991
23
36
164
3
15
3000
250000
1992
57
189
1175
4
30
2485
10700
800000
1000
200000
1993
50
31
392
50
1
144300
30300
12210466
5010
18000
1994
54
10
392
1
20
50
63626
1050
1995
40
5
1003
19
5
18360
1503000
5050
1996
23
15
401
86
52
670
1120
1
80
200
1997
66
7
464
79
27
83568
3500
600
10
30785
150
1998
61
182
450
1607
2262
12981
15210
300000
26
1
90
250
1999
66
2
25
171
21
28869
20800000
1
115913
20150
2000
28
6
41
20
86
2
1228
12525
3734095
120000
94
200
2001
74
21
169
6
279
25
152020
10993
13
470
2002
34
103
157
14
80
400
17140
100000
6000000
1
528
2003
71
86
943
148
219
98
50013
37797
2500
40000
2004
331
85
1856
2
183
742
174931
215337
10700
24227661
5
56798
8571
2005
185
43
3069
19
571
335
41858
1
1000000
1
150088
5265
13030
2006
197
35
15499
4
83
1600
3402
109250
7000000
15000000
14
2
59118
786
2007
178
78
928
3
388
260
66974
6089
995
23144
120105000
497703399
269478
22000
400
2008
723
108
8200
18
1345
3960
4151
866589
2594
600000
3800
20
1
97053
59882
20390
2009
385
29
84440
2
256
1094
6666
721563
75
1200
2500000
28
2
127825
38666
250
2010
496
43
12810
1
217
1132
108051
616027
1
51801638
366236757
6
2
2415900
530945
150
2011
321
134
46924
1037
2362
57834
284658
123
93170110
648467966
23
1
1395034
23910
100
2012
406
94
43559
606
2117
61871
582511
9
1
97604
35643
2013
221
11
9
1673
684640
7
87077
17523
2014
433
23
55
454
1470
826265
6
1
52932
1566
2015
36
301
141665
5537
45982
Bolivia
Summary:
DataCards: 5498
Period:
1970 - 2015
Highest Mortality:
EPIDEMIC: 1332 Deaths; 242 DataCards
FLOOD: 415 Deaths; 2309 DataCards
LANDSLIDE: 392 Deaths; 423 DataCards
Highest Housing Damages:
FLOOD: 13273 Houses; 2309 DataCards
LANDSLIDE: 4630 Houses; 423 DataCards
STRONGWIND: 4315 Houses; 115 DataCards