UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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English Data
Region:
Zambia
- [zmb]
Profile:
Select what profile you want:
Disaster type
Multi-hazard profile
PEST
FLOOD
INSECT INFESTATION
STORM
HAILSTORM
ANIMAL INCIDENT
WINDSTORM
STRUCTURAL COLLAPSE
FIRE
STRONG WINDS
ROAD ACCIDENT
DROUGHT
EPIDEMIC
FLASH FLOODS
Mpox
MINE DISASTER
WETLAND LOSS/DEGRADATION
LIGHTENING
CHOLERA
KONZO DISEASE
Provinces
ALL
Central
Copperbelt
Eastern
Luapula
Lusaka
Muchinga
Northern
North-Western
Southern
Western
Zambia
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
ANIMAL INCIDENT
36
3
21
22
37154
9012
6
26647
DROUGHT
4
EPIDEMIC
4
6
62
66
186
FIRE
21
1
1
1019
1053
14882
805
500
31
700
4
2
FLASH FLOODS
2
20
FLOOD
433
20
8
1432
3545
118098
55408
1522
2
9308159
7055526
97
2
797
3001
HAILSTORM
38
1
62
76
515
186
5
15000
150000
21
3
120
INSECT INFESTATION
247
145
145
354030
226699
11903
268520
7
LIGHTENING
1
2
1
MINE DISASTER
1
2
PEST
1233
134526
103305
ROAD ACCIDENT
3
2
13
4
3
STORM
95
7
22
356
481
1951
623
46
726305
99
3
1
STRONG WINDS
6
112
689
689
65
1
2
STRUCTURAL COLLAPSE
33
10
6
163
184
454
453
408
1
511240
30
4
WETLAND LOSS/DEGRADATION
1
1
WINDSTORM
35
1
20
2
26
1066687
32
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
Central
01
295
2
216
1478
114417
52090
11968
10530
47
3
62102
Copperbelt
02
412
6
3
210
266
91476
40232
408
3
964718
13
1
66618
Eastern
03
168
4
8
101
111
30646
11721
5
14
2
17675
Luapula
04
195
1
10
151
174
68879
38598
6024928
52
1
33229
3000
Lusaka
05
332
23
14
323
899
160026
99858
1175
72395
25
1
108813
Muchinga
06
108
34
37
8266
2483
9308159
144292
40
6943
Northern
08
138
6
4
1532
1592
17132
8003
628
574120
23
1
2116
North-Western
07
138
4
19
322
394
34879
6527
147
32
15000
1710475
32
2
14753
1
Southern
09
165
278
400
47438
21118
15
2
11
1
59102
7
1
Western
10
242
7
56
31
308
89212
13457
103
9000
34
4
28038
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
1999
2
10530
2
2000
3
14010
1
2001
5
14
1128
4520
14
2004
5
36738
2005
2
15
54
3
2006
7
1
8
370
444
6828
6480
48
2007
6
7000
2008
18
152
163
21045
21004
4
1
2009
38
7
1167
1024
8022
500
500
1000
8
2
158
500
2010
53
3
3
130
4
184
69
125
2
2
2011
60
466366
6
2012
67
2
11
46
313
4969
4222
46
709775
21
2
2013
137
2
502
517
22547
22888
9
31
78580
97
236
1
2501
2014
94
3
10
351
534
3227
191
229
105014
52
4
50
2015
72
4
67
203
1030
306
1
9323159
652240
33
2
592
7
2016
204
8
4
173
318
618
628
184
970673
44
223
2017
1396
11
3
224
863
530447
236842
13291
6516280
16
1
397975
2022
5
2
8
377
72
106
2023
19
12
75
125
755
871
65
3
3
3
Zambia
Summary:
DataCards: 2193
Period:
1999 - 2023
Highest Mortality:
FLOOD: 20 Deaths; 433 DataCards
STRUCTURAL COLLAPSE: 10 Deaths; 33 DataCards
STORM: 7 Deaths; 95 DataCards
Highest Housing Damages:
FLOOD: 4977 Houses; 433 DataCards
FIRE: 2072 Houses; 21 DataCards
STORM: 837 Houses; 95 DataCards