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DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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English Data
Region:
Peru
- [per]
Profile:
Select what profile you want:
Disaster type
Multi-hazard profile
FLOOD
RAIN
ALLUVION
FIRE
EPIDEMIC
LANDSLIDE
EARTHQUAKE
POLLUTION
STRUCTURE
ACCIDENT
FROST
PLAGUE
DROUGHT
STRONGWIND
SURGE
SNOWSTORM
SPATE
OTHER
EXPLOSION
ELECTRICSTORM
HAILSTORM
FORESTFIRE
STORM
OLA DE FRIO
INTOXICACION
EPIZOOTIA
FOG
ERUPTION
AVALANCHE
HEATWAVE
BIOLOGICAL
SEDIMENTATION
LEAK
EROSION
COASTLINE
PANIC
Departamento
ALL
AMAZONAS
ANCASH
APURIMAC
AREQUIPA
AYACUCHO
CAJAMARCA
CALLAO
CUSCO
HUANCAVELICA
HUANUCO
ICA
JUNIN
LA LIBERTAD
LAMBAYEQUE
LIMA
LORETO
MADRE DE DIOS
MOQUEGUA
PASCO
PIURA
PUNO
SAN MARTIN
TACNA
TUMBES
UCAYALI
Peru
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
706
2467
763
489
8
28
450
600
1473811
92707000
20020
ALLUVION
2002
20819
12768
1535
12576
13964
472683
212834
2705
1042
63852060
5941850000
70
8
41559
9055
1039664
AVALANCHE
69
84
19
3003
80
14
4
1675
28500
9
1
15182
20200
1920
BIOLOGICAL
44
3
37
500000
84
COASTLINE
7
50
DROUGHT
542
86979
1710869
469129227
91128199069
218189
5762
EARTHQUAKE
1155
14845
5505
347
152456
105108
235332
898772
1015
639277989
312250000
1319
184
135261
11
28392
ELECTRICSTORM
270
310
74
72
384
1065
26772
20000000
1
80
326
EPIDEMIC
1488
3390
142811
177954
347
788115
30500000
5
4
91763
3
EPIZOOTIA
97
2
150
8
51680
14000000
59827
EROSION
10
70
150
750
350
360
ERUPTION
44
10779
221
55
EXPLOSION
272
293
376
33
36
987
150
408
895893
805544500
2
1
10000
FIRE
1739
945
296
19
5968
1518
45994
27508
100
136
545243828
101818187170
21
10
651
18533
880
FLOOD
3508
927
82
626
43462
216816
986121
1619212
7151
52879
203390144
52947328496
1235
57
1150630
334195
610783
FOG
85
15
135
2500
FORESTFIRE
236
21
1044
370
105
3357
1350
225
134344
5300000
4
327940
134
24000
FROST
732
807
104243
10
434
246605
3206
105439
38511049
124867
33350
HAILSTORM
238
4
236
1655
10645
61613
100
508784
11396000
4
45224
72
22000
HEATWAVE
66
33
976
8680
2075
3475957
1260000000
280
INTOXICACION
120
133
3601
2719
1
200
LANDSLIDE
1311
896
140
510
2393
4143
131056
48388
8413
17000
32233065
60372550000
28
4
12528
880
643554
LEAK
42
41
2
2
789
12
135
2000000
OLA DE FRIO
119
252
1053
43348
16500
38582
OTHER
299
37
25
596
3781
90789
9887
70
2152139
57230000
1
18350
2305
80270
PANIC
4
PLAGUE
663
33
3
2
1773
1606
17354266
3711122000
92369
20120
POLLUTION
1372
167
44
210
441199
870
30
16434
107620000
5
1
3861
603
5220
RAIN
2222
179
38
11
7065
18557
156198
250177
50
1843
1229698015
196635582000
433
17
109054
56950
1038861
SEDIMENTATION
43
2500
725
9000
462398
20300000
1400
6700
SNOWSTORM
281
37
10
5
551
918
38168
17856
27000
1200000
2
1332
176919
434320
SPATE
309
153
4
667
2385
4186
81051
25360
90
350
2837509
53002045
6
47200
200
43640
STORM
207
44
19
33
868
2539
3995
69403
100
100
44237378
5002000000
29
3
2411
78
STRONGWIND
479
21
13
3
2140
8873
6868
41196
3318122
1156410000
299
19
4646
1000
8800
STRUCTURE
895
244
200
9
441
2829
438664
4702
2698
5213770
270000000
10
1
4226
7
23324
SURGE
423
65
37
136
290
3193
33222
13475
26
5000
3457319
5452039000
7
1
130
60
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
AMAZONAS
01
362
240
153
34
2470
6076
66079
54172
1440
500
1834876
35000000
56
10
28785
1232
90430
ANCASH
02
1552
32846
180
3582
20543
61740
427781
99358
16
7880
629036639
10093945000
58
12
186706
500
184975
APURIMAC
03
335
321
47
242
852
3277
49509
219402
500
625
864210
22516000
335
15
24571
32338
58750
AREQUIPA
04
1862
758
14133
148
15893
24908
209606
222893
2000
933
198664970
24626933400
898
121
146021
72457
172770
AYACUCHO
05
586
408
254
53
3137
6034
20051
74589
5000
2555821
220370000
408
21
29117
2143
101275
CAJAMARCA
06
540
404
1017
147
1773
2836
16638
16843
445
570
36145790
31009152000
43
1
60896
957
156052
CALLAO
07
562
92
1461
11
4143
3573
56282
31952
40
8339459
1471800000
18
1
664
33
CUSCO
08
1836
1030
40566
339
4336
7633
162834
46435
50
6164
5814206
1774473000
32
6
117120
74835
93127
HUANCAVELICA
09
460
487
266
276
833
1469
106576
66371
5000
6600
1139212
114822000
20
2
52758
321
28440
HUANUCO
10
417
545
89
106
6729
4482
28132
73299
1250
7654696
117407000
15
4
243500
8088
278156
ICA
11
780
778
3332
42
87613
77958
220786
591621
130
91121870
39142441000
221
28
34128
4952
31600
JUNIN
12
2088
1666
4983
369
3830
9597
431372
52216
250
880
6925946
31133262974
86
2
350985
6131
788245
LA LIBERTAD
13
946
662
9706
282
7338
17571
88176
81969
10
2139
41068667
21482768000
61
3
35366
2130
34700
LAMBAYEQUE
14
631
276
98
15
4862
1991
26541
50023
15225
1181991336
153296229000
80
1
207872
2
6407
LIMA
15
4309
2864
53560
256
16292
20024
766060
209557
3810
13960
408222311
30775156963
72
15
43240
84729
856896
LORETO
16
504
941
19485
136
9877
11570
172332
766481
4208
1400
65093795
29519050000
75
3
76861
50000
MADRE DE DIOS
17
170
136
97
6
328
2913
6505
9931
305
2630797
113450000
6
6282
72
54630
MOQUEGUA
18
168
71
171
2
10887
5244
9257
67514
221
2683160
2802000007
100
6
8631
80096
109380
PASCO
19
421
383
2005
201
1697
3041
62294
16805
293
90
2312244
433311049
15
3
12611
33054
201110
PIURA
20
1491
504
47211
109
6307
28938
197677
225232
6
6163
82797255
15083807060
93
5
308241
81403
695625
PUNO
21
769
778
59981
9
2299
12589
301009
1543694
2817
295471219
34959817470
58
8
99485
334810
34156
SAN MARTIN
22
392
736
26
927
13372
23778
88965
222464
3000
15
30269001
1724590000
522
4
117104
5596
36012
TACNA
23
155
84
519
5519
17373
4722
80299
93
63893721
8521500000
31
2
11539
1500
20
TUMBES
24
571
95
14928
37
838
16973
120157
78672
7336
76025325
31801526406
50
3
95987
3
7795
UCAYALI
25
192
162
13
99
305
21456
120214
132061
115
26833429
56992000000
138
35
75318
3909
12270
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
1216
32588
287
3051
23871
12102
85001
91013
7700
633219750
1015715000
51
12
60695
20000
129084
1971
473
1293
19
12
211
1637
1471
5310
55
43150574
1658970000
4
24184
6254
26810
1972
1064
247
9
117
1917
23316
53161
29153
1000
490
35061718
2502582000
13
5
174004
64927
51556
1973
848
342
1039
70
589
178
19352
9069
1500
15442777
552494000
6
1
15638
2069
6500
1974
469
388
259
3262
79
11007
14172
5000
5000
413437
116001000
985
1000
264
1975
289
117
12
1
778
505
1505
12377
229
7645081
363793900
9
4532
184
2625
1976
285
184
3
490
67
198
34134
1201
2346661
239209470
4
6712
32002
30120
1977
234
123
48
8
483
628
5274
4193
40
2822
12950147
990853000
4
1
2329
10000
7431
1978
190
88
12
19
416
12
44
2778
50
6987818
694602000
14
2
26846
230
950
1979
234
197
287
10
69
313
21951
550
19254807
918912000
2554
15
35400
1980
446
271
206
235
269
55265
14277
1958274
10605000000
3
66176
200
115400
1981
679
286
29
73
2636
710
32680
39455
381
5006
177286190
10592150000
16
5
65301
57
62755
1982
683
722
6
554
1349
3193
269419
1689873
11219
434480481
52315000000
6
1
61824
637
36400
1983
1027
588
2
508
7615
55226
156375
220296
16474
1363891877
301915500000
27
5
123890
36000
944728
1984
468
200
23
42
568
1225
233006
29054
6482905
25109600000
13
1
9431
22202
178770
1985
328
219
711
143
155
225
4632
1905
230164
1544000500
2
60
273
1986
434
284
13
44
410
712
5743
27055
600
700
113000000
1
720
70
600
1987
575
485
12451
246
1736
1202
126835
33383
50447989
80578651746
4
3
56314
211
67600
1988
423
389
3435
48
423
69
171322
2595
4574940
126900000
1
13543
5132
8050
1989
294
239
73
110
249
105
39393
3949
828618
4701000000
1
1
14844
100
58205
1990
207
289
15025
227
2897
8933
610
122604
15
141036400
30000000000
3
2246
650
10400
1991
343
859
360
35
10487
716
36105
44310
24920600
15002000
19
15125
99050
33552
1992
143
75
70
11
334
590
48000
14409
628000
1
13870
500
50000
1993
507
287
181
60
2802
4237
59670
324951
102463000
650000
501
4
308150
160
45741
1994
921
488
209
99
6054
25224
148044
503404
500
46123484
59940000
92
261883
3917
64306
1995
773
502
1055
41
2877
7728
68959
51718
1910
8181192
30380000
74
11
21490
953
36445
1996
618
811
6185
85
6354
16458
114499
147636
2618
2280
10939445
50000
523
56
55167
2321
59620
1997
695
229
16
235
1817
11140
103548
152145
450
995
2758797
41280000
106
11
102071
168200
118637
1998
1157
557
52006
388
13470
67128
182651
355529
70
17344
111536830
9257000
107
4
96414
44689
266978
1999
293
147
54
75
6313
588
130295
53223
1400
25
15000
16398000
10
2
62244
2069
172690
2000
703
235
43
79
640
2211
35980
12331
2600
1550
10436000
18
8
86083
54539
495310
2001
942
808
21007
132
29340
54542
164776
324711
50
150
150000
1506000
756
139
143998
1116
31581
2002
590
333
3
5
1094
6869
3594
38216
198000
7550000
64
3
42279
61320
304136
2003
482
277
78950
110
1116
5866
21877
6767
100
670
1975000
306750
12
3
38391
31
34435
2004
526
173
2489
30
281
2111
195550
17055
90000
108531049
4
3
65027
41356
85450
2005
201
95
1670
7
948
852
6217
3279
11
750000
7000
6
169231
132
8500
2006
339
200
1011
33
446
3056
81160
4164
459
26
15430000
95
19010
30402
21510
2007
447
749
5221
49
88373
46113
373979
425508
3250
680000
5414714
183
18
24456
5101
44505
2008
251
173
4736
54
514
4757
124040
4326
20
5000000
3
15297
10330
2009
289
233
846
40
1555
1032
106092
4401
1500
80000
231200
1
1933
4110
75180
2010
254
143
93
68
1015
2824
91385
1959
2309
2024000
1
1
11786
106214
32000
2011
238
48
433
6
346
1489
37989
12311
1650
200000
4000000
302
2365
30072
1260
2012
209
53
311
4
4625
12161
187580
23741
10000
280000000
423
11
83720
22322
118730
2013
312
253
63848
34
913
4646
143321
120564
60
8
970
504
148277
Peru
Summary:
DataCards: 22099
Period:
1970 - 2013
Highest Mortality:
ALLUVION: 20819 Deaths; 2002 DataCards
EARTHQUAKE: 14845 Deaths; 1155 DataCards
EPIDEMIC: 3390 Deaths; 1488 DataCards
Highest Housing Damages:
FLOOD: 260278 Houses; 3508 DataCards
EARTHQUAKE: 257564 Houses; 1155 DataCards
ALLUVION: 26540 Houses; 2002 DataCards