UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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English Data
Region:
Kenya
- [ken]
Profile:
Select what profile you want:
Disaster type
Multi-hazard profile
ROAD ACCIDENT
DROWNING
FIRE
FLOOD
DROUGHT
EPIDEMIC
ELECTROCUTION
WINDSTORM
LANDSLIDE
RAINS
ANIMAL INCIDENT
FOREST FIRE
STRUCTURAL COLLAPSE
CONFLICT
THUNDERSTORM
LIGHTNING
MUDSLIDE
TERROR ATTACK
SUBSIDENCE
STORM
PLAGUE
AIRCRAFT CRASH
County
ALL
BARINGO
BOMET
BUNGOMA
BUSIA
EMBU
GARISSA
HOMABAY
ISIOLO
KAJIADO
KAKAMEGA
KEIYO-MARAKWET
KERICHO
KIAMBU
KILIFI
KIRINYAGA
KISII
KISUMU
KITUI
KWALE
LAIKIPIA
LAMU
MACHAKOS
MAKUENI
MANDERA
MARSABIT
MERU
MIGORI
MOMBASA
MURANGA
NAIROBI
NAKURU
NANDI
NAROK
NYAMIRA
NYANDARUA
NYERI
SAMBURU
SIAYA
TAITA-TAVETA
TANA-RIVER
THARAKA-NITHI
TRANS-NZOIA
TURKANA
UASIN-GISHU
VIHIGA
WAJIR
WEST POKOT
Kenya
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
AIRCRAFT CRASH
1
2
ANIMAL INCIDENT
46
36
21
16
5
40
CONFLICT
21
6
23
9
510
DROUGHT
574
5
6812154
14970
45360
DROWNING
1152
1251
9
20
ELECTROCUTION
149
155
26
1
1
2
EPIDEMIC
302
444
464
2637
31
FIRE
1149
1902
467
29
5174
303
195
16
9
18
595715
16893900
1
82
210
FLOOD
742
565
137
12
22590
7708
849352
303
9795
4552
57149746
1
20001
5973
FOREST FIRE
41
7550000
43790
LANDSLIDE
63
122
154
2
213
2
2245
918
2
6
LIGHTNING
17
20
39
1
MUDSLIDE
13
12
2
PLAGUE
1
RAINS
48
10
2
3
622487
ROAD ACCIDENT
4054
4723
4267
48
9
51
2
38
STORM
2
5
4
STRUCTURAL COLLAPSE
34
68
214
6
140
SUBSIDENCE
3
1
1
TERROR ATTACK
9
13
15
12
THUNDERSTORM
20
24
15
3
1
1
3
80000
1
52
WINDSTORM
107
85
95
2
10
1004
15
2205
120502
3
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
BARINGO
01
133
122
110
439
6450
12000
1542000
2160
67
BOMET
02
126
133
120
1
1
2
3
980000
BUNGOMA
03
202
243
171
5
4
5
21153
2
BUSIA
04
155
113
73
7
30
1
94242
1
2295
1
2
1770
50
EMBU
05
111
125
88
1
1
1
154831
GARISSA
06
78
72
69
3
100
35101
1
10
2000
HOMABAY
07
208
242
114
2
61
8
2943
7
296
2234
20000
2000000
395
285
ISIOLO
08
66
60
56
555
354
285959
1775
40
40
KAJIADO
09
154
145
87
108
1
18
1
5000
500000
KAKAMEGA
10
273
273
211
4
23
9
478915
9
6000
630000
1090
2
KEIYO-MARAKWET
11
37
67
20
3
150
907
900
KERICHO
12
130
134
114
5
2
14
10
10
KIAMBU
13
493
1915
206
22
12
19
879268
202332
9
4
2000000
100
10
KILIFI
14
216
186
136
2
951
71
356506
1
2530
KIRINYAGA
15
188
165
78
1
43
1
316667
84988
100
10000
KISII
16
190
176
83
41
28
3132
7
2200
660000
6
KISUMU
17
231
220
196
3
413
616
28021
100
515
3
272
KITUI
18
198
149
172
10
92
653443
205
20500
KWALE
19
102
93
97
3
227
2
244398
3
20
LAIKIPIA
20
124
104
42
1
17
21
20
12
12
3000
4000000
1100
LAMU
21
46
36
13
174
17224
MACHAKOS
22
371
381
328
3
32
3
480414
1
MAKUENI
23
200
153
250
13
10
99568
2200000
60
MANDERA
24
69
58
487
12
300
2002
14852
1500
54649746
2046
152
MARSABIT
25
98
106
68
3
840
1
284112
4
66
1138
MERU
26
278
236
115
30
3
298413
750
645000
31380
213
MIGORI
27
147
158
61
1
375
4761
3
107
MOMBASA
28
135
127
58
210
31
626735
2
400
MURANGA
29
308
289
206
5
87
8
445530
135047
38
12500
NAIROBI
30
1374
1154
806
17
4782
518
241
140
250000
2
50
NAKURU
31
352
449
324
1
1047
8
2794
1
103000
800002
6600
7
NANDI
32
85
106
78
3
6
1
38
NAROK
33
209
218
93
19
91
8
1936
40
250000
210000
1
62
1226
NYAMIRA
34
120
99
180
14
1
24079
1
5680
568000
180
NYANDARUA
35
166
103
47
3
70
6
367807
81374
150000
1500000
1050
45360
NYERI
36
159
113
68
1
14
11
398505
133721
2000000
600
SAMBURU
37
24
26
10
189826
SIAYA
38
156
170
69
3
365
1003
25042
304
17
1000000
5113
2
TAITA-TAVETA
39
127
110
48
13
2
348120
400
40000
TANA-RIVER
40
122
58
45
2
3977
1885
287984
80000
6018
THARAKA-NITHI
41
40
37
31
36548
TRANS-NZOIA
42
112
85
32
4
1422
200
32572
3
17000
4200000
2800
TURKANA
43
96
152
32
10439
1002
35670
2481
300000
36
1451
UASIN-GISHU
44
81
74
24
2
3
1
36
1
1000
2
VIHIGA
45
86
73
120
2
WAJIR
46
45
20
22
80223
400
10085
1008500
WEST POKOT
47
112
104
90
609
2575
2
101
15
15
3
Temporal Behaviour
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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
1997
4
2002
32
77
11
2003
9
7
3
27
21565
5700
2004
2
1000
2005
29
11
15
8140
1100
2006
21
17
2
504
354
32716
942
1775
620
1000
2007
23
11
116
24848
2008
90
62
513
211
2094
334529
2715
56929746
12728
2000
2009
430
282
9663
3041
3753728
5676
15
5350000
40456
15
2010
301
148
15
6
8707
415
286122
1362
2234
1893
1085
2011
277
36
27
3
1
1376
3119411
300
315
2600000
300
45362
2012
137
24
7
1
2829
274
39131
637460
1
2013
120
172
13
9
203
165
43510
4
10
6
50
2014
221
224
111
306
149
67
9
2015
548
723
952
4171
16
3807
93
202
395000
1603
2016
525
672
605
1
453
19
4
18
140
3087000
2017
15
21
8
5
2019
851
937
804
12
2
510
2020
1976
1758
1014
23
342
41
2
326220
11352002
3
19
508
2021
1703
1697
837
18
146
31
2
2
4
8200
1780000
40
2022
1234
2568
898
74
428
62
14
14
14
263500
300400
63
12
Kenya
Summary:
DataCards: 8548
Period:
1997 - 2022
Highest Mortality:
ROAD ACCIDENT: 4723 Deaths; 4054 DataCards
FIRE: 1902 Deaths; 1149 DataCards
DROWNING: 1251 Deaths; 1152 DataCards
Highest Housing Damages:
FLOOD: 30298 Houses; 742 DataCards
FIRE: 5477 Houses; 1149 DataCards
LANDSLIDE: 215 Houses; 63 DataCards