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SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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Region:
Paraguay
- [pry]
Profile:
Select what profile you want:
Paraguay
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
30
41
110
5
BIOLOGICAL
8
240000
240000
1200
DROUGHT
133
29
184267
209436800
209436800
234546
109000
EARTHQUAKE
1
ELECTRICSTORM
42
26
12
1
567
480000
1800
4918800
4918800
4
4
EPIDEMIC
74
82
13651
250
EXPLOSION
8
7
15
1
FIRE
442
494
1074
1381
125
60531
5692
3
33004000
33004000
9
1
15
FLOOD
498
94
5
1
2044
61383
296501
277832
1019
111307
617658400
617658400
35
2
95503
2090
280
FOG
3
FORESTFIRE
124
8
175
2100
57183
84578
669111600
669111600
810562
60
FROST
62
7
1
368
785028200
785028200
980640
2581
HAILSTORM
94
1
5
3721
27060
70807
5510
308823600
308823600
2
12877
HEATWAVE
28
LANDSLIDE
13
4
5
3
11
24000
24000
OTHER
6
100
PLAGUE
5
20
32000000
32000000
40000
POLLUTION
74
2
208
61
1500
488000
488000
RAIN
208
5
13
5
205
20106
9496
50071200
50071200
1
60289
Raudal
17
3
1
1
1
22000
22000
STORM
520
44
164
1
2219
45345
117914
162169
200
529486400
529486400
37
4
138892
321
1003
STRONGWIND
24
2
3
1
679
101
605
2984
15836000
15836000
1
STRUCTURE
86
24
289
1
3
3
71
2420000
2420000
17
1
TORNADO
31
5
19
2
373
1103
1290
6650
17480000
17480000
5
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
ALTO PARAGUAY
17
68
36
149
6472
32336
33930
100
57826600
57826600
13
2000
13
ALTO PARANA
10
248
130
9209
2
123
21105
96891
9377
100
1308
661682800
661682800
6
1
610975
4
80
AMAMBAY
13
39
4
112
1
741
4251
12528
87415000
87415000
101773
233
ASUNCION
00
468
482
1455
4
2899
24663
584724
114298
439
96906
262962600
262962600
12
1
3
BOQUERON
16
59
45
52
2527
106661
11977
80
310
74762000
74762000
1
43020
100200
CAAGUAZU
05
100
17
331
798
6864
30149
10575
398402400
398402400
10
1
405010
132
1000
CAAZAPA
06
36
2
192
20
3487
18940
15336
32240000
32240000
1
4750
70
CANINDEYU
14
66
2
758
3021
1857
8277
1304
211638000
211638000
8
162000
CENTRAL
11
369
63
1399
1
566
15266
149710
30200
611
225096000
225096000
10
2
110020
CONCEPCION
01
131
116
485
1
59
14346
68466
117077
350
455
238901200
238901200
4
1
152028
264
CORDILLERA
03
72
13
31
120
1181
1602
10839
15040400
15040400
3
3353
GUAIRA
04
88
8
13
1
280
5113
11027
10854
850
57757600
57757600
4
12567
1400
ITAPUA
07
207
13
131
2
818
2900
9889
19565
3825
203616000
203616000
6
1
201100
1000
MISIONES
08
119
3
137
21
2327
45079
9218
2878
32111400
32111400
3
1
14740
857
ÑEEMBUCU
12
162
7
5
129
10531
41007
59234
50
4268
93304400
93304400
6
6598
2000
PARAGUARI
09
69
9
32
275
336
475
1982
17009000
17009000
10226
251
200
PRESIDENTE HAYES
15
67
6
8
213
13778
30894
45953
119270800
119270800
18
1226
8800
SAN PEDRO
02
163
22
1244
1110
4562
50658
42834
487012800
487012800
6
531938
32
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
2
1
1
1978
1
100
1981
14
3
1
22000
22000
1982
17
1
70
1756
560000
560000
1983
19
10
17
6045
2755
28034
2000
48914000
48914000
2
1984
22
4
13
90000
90000
1
1985
9
3
12800
12800
16
1986
25
4
15
1600000
1600000
2000
1987
18
4
1
90000
90000
1
1988
42
28
4
180000
180000
2
1989
35
16
411
3
600
110
100
4956000
4956000
1
1990
34
2
9
83
57
2251
500
2282000
2282000
1991
54
5
1057
30
1504
7655
12782000
12782000
1
1992
97
15
1531
102
1385
533
58907
16294000
16294000
33
1993
62
31
16
162
469
635
5200
80
9456000
9456000
4
2000
900
1994
110
8
105
287
320
17630
5101
1500
79801000
79801000
88326
1251
80
1995
18
5
1500
400
200
1996
23
14
33
1000
1500
8847600
8847600
1
947
1997
115
65
7
3
1800
10353
105371
9620
679
30959
126988000
126988000
6
5030
1998
86
8
999
28000
22575
123910
500
251348000
251348000
1
1
5500
400
1999
22
2
1201
20
40000
4002
30290000
30290000
2860
7100
2000
22
3
11
500
720600
720600
900
3
2001
25
49
307
720
1
22356
16388000
16388000
2
1800
2002
47
31
5
127
11431
9835
600
603
281034400
281034400
1
233378
2003
43
1
400
2162
80810
1550
100
19690000
19690000
1
2880
2004
44
396
532
832000
832000
1040
2005
34
2
20
1
57
25
100
25278000
25278000
1
30000
2006
22
2
9
149
200
4385
1000
5448000
5448000
1
600
2007
110
19
175
835
10263
138357
96122
410
788699600
788699600
860217
60
200
2008
192
40
89
5
336
7149
49142
51010
201
73536000
73536000
10
1
9057
32
2009
227
15
2237
4
4695
514498
11421
436864000
436864000
4
498570
2010
268
19
17
2
59
9219
5905
15924
85090200
85090200
4
11955
581
2011
74
25
8266
3006
417
1825
1350
69468000
69468000
2012
69
25
90
1
27
1175
578
4430
80
310
501477600
501477600
3
2
612015
8
2013
74
4
1
501
11549
115206
2657
50
6525
124014000
124014000
103000
2014
114
8
22
4
29336
83575
122957
150
237058400
237058400
5
1
1033
30
1000
2015
207
9
164
70
571
690
10905
66873
12816000
12816000
21
1
5000
90
2016
134
18
30
78
8
60969
700
3120800
3120800
6
1
4
2017
1
Paraguay
Summary:
DataCards: 2531
Period:
2 - 2017
Highest Mortality:
FIRE: 494 Deaths; 442 DataCards
OTHER: 100 Deaths; 6 DataCards
FLOOD: 94 Deaths; 498 DataCards
Highest Housing Damages:
FLOOD: 63427 Houses; 498 DataCards
STORM: 47564 Houses; 520 DataCards
HAILSTORM: 30781 Houses; 94 DataCards