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
1108
1209
9
19
ELECTROCUTION
146
153
25
1
1
2
EPIDEMIC
302
444
464
2637
31
FIRE
1079
1879
456
29
5149
303
195
16
9
18
595715
16893900
1
20
210
FLOOD
742
565
137
12
22590
7708
849352
303
9795
4552
57149746
1
20001
5973
FOREST FIRE
41
7550000
43790
LANDSLIDE
62
119
153
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
3819
4459
4044
44
9
51
2
28
STORM
2
5
4
STRUCTURAL COLLAPSE
31
66
212
6
140
SUBSIDENCE
3
1
1
TERROR ATTACK
8
12
14
12
THUNDERSTORM
20
24
15
3
1
1
3
80000
1
52
WINDSTORM
103
82
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
125
115
107
439
6450
12000
1542000
2160
67
BOMET
02
124
131
120
1
1
2
3
980000
BUNGOMA
03
199
241
169
5
4
5
21153
2
BUSIA
04
150
111
71
7
30
1
94242
1
2295
1
2
1770
50
EMBU
05
105
114
87
1
1
1
154831
GARISSA
06
74
69
68
3
100
35101
1
10
2000
HOMABAY
07
205
240
111
2
61
8
2943
7
296
2234
20000
2000000
395
285
ISIOLO
08
66
60
56
555
354
285959
1775
40
40
KAJIADO
09
149
141
86
108
1
18
1
5000
500000
KAKAMEGA
10
267
268
211
4
23
9
478915
9
6000
630000
1090
2
KEIYO-MARAKWET
11
37
67
20
3
150
907
900
KERICHO
12
121
130
109
5
2
14
10
10
KIAMBU
13
455
1878
182
22
12
19
879268
202332
9
4
2000000
100
KILIFI
14
209
182
134
2
951
71
356506
1
2530
KIRINYAGA
15
177
155
76
1
43
1
316667
84988
100
10000
KISII
16
185
173
83
41
28
3132
7
2200
660000
6
KISUMU
17
222
213
192
2
413
616
28021
100
515
3
272
KITUI
18
197
148
170
10
92
653443
205
20500
KWALE
19
96
70
95
3
227
2
244398
3
20
LAIKIPIA
20
122
102
41
1
17
21
20
12
12
3000
4000000
1100
LAMU
21
43
32
13
174
17224
MACHAKOS
22
353
356
297
3
32
3
480414
1
MAKUENI
23
197
151
247
13
10
99568
2200000
60
MANDERA
24
68
58
487
12
300
2002
14852
1500
54649746
2046
152
MARSABIT
25
93
104
67
3
840
1
284112
4
66
1138
MERU
26
269
233
115
29
3
298413
750
645000
31380
213
MIGORI
27
145
155
60
1
375
4761
3
107
MOMBASA
28
126
119
58
210
31
626735
2
400
MURANGA
29
295
281
205
5
87
8
445530
135047
38
12500
NAIROBI
30
1295
1079
759
16
4758
518
241
140
250000
2
50
NAKURU
31
335
427
308
1
1047
8
2794
1
103000
800002
6600
7
NANDI
32
80
100
74
6
1
38
NAROK
33
203
216
93
19
91
8
1936
40
250000
210000
1
1226
NYAMIRA
34
112
92
180
14
1
24079
1
5680
568000
180
NYANDARUA
35
159
97
47
3
70
6
367807
81374
150000
1500000
1050
45360
NYERI
36
155
109
68
1
14
11
398505
133721
2000000
600
SAMBURU
37
22
25
10
189826
SIAYA
38
149
163
65
3
365
1003
25042
304
17
1000000
5113
2
TAITA-TAVETA
39
120
105
47
13
2
348120
400
40000
TANA-RIVER
40
121
58
45
2
3977
1885
287984
80000
6018
THARAKA-NITHI
41
40
37
31
36548
TRANS-NZOIA
42
109
80
25
4
1422
200
32572
3
17000
4200000
2800
TURKANA
43
92
152
30
10439
1002
35670
2481
300000
36
1451
UASIN-GISHU
44
73
64
23
2
3
1
36
1
1000
2
VIHIGA
45
79
69
55
2
WAJIR
46
45
20
22
80223
400
10085
1008500
WEST POKOT
47
109
102
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
873
2228
659
69
403
62
14
14
14
263500
300400
1
2
Kenya
Summary:
DataCards: 8187
Period:
1997 - 2022
Highest Mortality:
ROAD ACCIDENT: 4459 Deaths; 3819 DataCards
FIRE: 1879 Deaths; 1079 DataCards
DROWNING: 1209 Deaths; 1108 DataCards
Highest Housing Damages:
FLOOD: 30298 Houses; 742 DataCards
FIRE: 5452 Houses; 1079 DataCards
LANDSLIDE: 215 Houses; 62 DataCards