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SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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Region:
Angola
- [ago]
Profile:
Select what profile you want:
Angola
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
AVIATION ACCIDENT
5
19
35
50
52
35
CHOLERA
2
30
29
596
176
176
COASTAL EROSION
1
100
300
1000
6000
1800
DROUGHT
10
37
2483
354000
30686
538116
360003
1070
13060
57600000000
236020
EARTHQUAKE
2
8
656
3924
3924
58
EPIDEMIC
2
294
67
654
654
EPIDEMIC COVID-19 Gen Records
1
6
EROSION
1
53
250
1500
303
EXPLOSION
1
1
5
1
FAILEN TREES
1
1
2
111
46
54
11
FIRE
12
1025
3004
6
181
54
1006
200000000000
FLOOD
89
728
2070
19
7078
16136
58980
58381
3079
9051
11280400000
330300010
585360001
358
500000000
22000000007
Heavy Rain With Lightnings
24
416
1840
109
4307
2268
32808
10256
2235
2537
40994200000
7
1
4
4
LANDSLIDE
3
188
450
1153
1086
6546
6476
564
627640000
LIGHTNING
4
137
475
13
885
2074
25
NAVIGATION ACCIDENT
1
10
PLANE CRASH
3
29
150
15
15
150
169
136
RAIN
5
2
1
620
370
50
80
RIVERINE FLOOD
11
76
31
213
807
1712
901
60
68
ROAD ACCIDENT
20
164
200
5
117
109
42
TORNADO
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
Bengo
18
4
1
533
727
3175
Benguela
09
27
408
821
83
2624
20486
116885
111887
1704
1872
45622600000
330300000
585360000
500000000
22000000000
Bié
11
12
73
81
1422
4295
7275
5017
728
3
Cabinda
01
12
16
2
1
108
318
272
163
251
940
Cuando Cubango
13
11
36
2513
354000
1050
19239
465054
284107
588
11588
10
1
236378
3
Cuanza Norte
05
20
189
196
225
715
3660
2507
351
737
Cuanza Sul
06
3
10
3
380
452
433
315
72
Cunene
16
15
158
1049
859
2023
10548
1638
2976
2326
63600000000
Huambo
10
14
35
112
833
885
9901
4892
65
2
4
Huíla
15
20
151
68
10
345
1150
7450
6859
208
2335
10000000
1
Luanda
04
8
1465
4350
13
726
1633
5928
6348
1491
201269640000
5
1
4
Lunda Norte
08
2
7
2
7
1
Lunda Sul
17
19
125
97
43
211
270
60
Malanje
07
2
160
1650
15
315
1950
18150
1636
Moxico
12
2
1
2
111
46
54
11
Namibe
14
3
80
5
22
2966
206
15733
1113
50
1901
Uíge
03
2
307
5
151
50
552
552
300
Zaire
02
23
48
92
544
544
3576
2736
66
443
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
1917
1
162
963
963
540
540
1977
1
160
956
823
1978
2
20
43
8
54
324
324
46
1979
1
8
654
3924
3924
58
1980
1
14
14
9
84
14
1981
1
1000
3000
170
1000
200000000000
1984
1
1986
1
14
14
1991
1
2
2
1993
1
1995
1
10
150
15
15
150
150
136
2001
1
14
18
2003
1
15
2004
1
150
1500
300
1800
18000
1500
2005
3
352
236
84
117
954
954
262
630000000
2006
5
103
81
150
78
78
72
2007
6
358
1159
12
610
848
5394
5023
1273
639640000
5
1
4
2008
7
117
64
52
935
5628
636
50
146
2009
3
8
7
6
100
420
1561
502
1
501
4
1
358
1
2010
34
131
172
2233
2640
8004
3261
616
2815
6
2
2011
16
31
33
613
3018
15418
14236
22
121
2012
7
120
32
195
120
737
476
397
282
2013
28
160
92
2
1679
28982
156210
150632
28
7829
61330
4
4
2014
9
170
1081
154
8127
48783
46345
2000
4651
63600000000
45345
2015
11
77
60
99
4690
2283
32239
13034
540
1892
45472200000
330300002
585360000
500000000
22000000000
2016
33
401
832
9
2189
3863
12794
8090
1084
2124
150400000
2017
9
38
71
87
244
1883
991
411
427
10000000
2019
3
20
52
305
120
2020
9
55
2495
354001
27
354765
177443
661
648
129345
2021
1
6
Angola
Summary:
DataCards: 199
Period:
1917 - 2021
Highest Mortality:
FIRE: 1025 Deaths; 12 DataCards
FLOOD: 728 Deaths; 89 DataCards
Heavy Rain With Lightnings: 416 Deaths; 24 DataCards
Highest Housing Damages:
DROUGHT: 30686 Houses; 10 DataCards
FLOOD: 23214 Houses; 89 DataCards
Heavy Rain With Lightnings: 6575 Houses; 24 DataCards