UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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Region:
Kenya
- [ken]
Profile:
Select what profile you want:
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.
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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
AIRCRAFT CRASH
5
3
2
2
ANIMAL INCIDENT
70
49
32
16
5
51
CONFLICT
23
8
24
9
510
DROUGHT
574
5
6812154
14970
45360
DROWNING
1846
1981
36
27
ELECTROCUTION
305
302
60
1
1
2
EPIDEMIC
302
444
464
2637
31
FIRE
2005
2121
605
31
8102
491
345
16
9
18
595715
16893901
1
89
287
FLOOD
752
607
208
12
22590
7709
849352
303
9795
5345
57149746
1
20001
5973
FOREST FIRE
41
1
7550000
43790
LANDSLIDE
68
129
157
2
213
2
2245
918
2
6
LIGHTNING
30
32
46
1
1
MUDSLIDE
13
12
2
PLAGUE
1
RAINS
48
10
2
3
622487
ROAD ACCIDENT
6023
6697
6332
53
3
9
51
2
42
STORM
2
5
4
STRUCTURAL COLLAPSE
47
75
231
10
6
140
SUBSIDENCE
3
1
1
TERROR ATTACK
11
13
16
12
THUNDERSTORM
20
24
15
3
1
1
3
80000
1
52
WINDSTORM
118
93
100
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
187
163
150
2
445
6450
12000
1542000
2160
67
BOMET
02
199
196
146
1
8
2
3
980001
BUNGOMA
03
257
284
184
5
10
6
21153
2
BUSIA
04
225
165
94
7
44
1
94242
1
2295
1
2
1770
50
EMBU
05
174
177
120
1
15
3
154831
GARISSA
06
88
77
72
4
100
35101
1
10
2000
HOMABAY
07
307
337
180
3
87
9
2943
7
296
2234
20000
2000000
395
285
ISIOLO
08
90
81
80
556
355
285959
1775
40
40
KAJIADO
09
229
206
127
139
1
18
1
5000
500000
KAKAMEGA
10
392
390
273
6
30
10
478915
9
6000
630000
1090
4
KEIYO-MARAKWET
11
47
75
27
3
152
907
900
KERICHO
12
190
188
146
11
3
14
10
10
KIAMBU
13
771
2169
345
23
33
21
879268
202332
9
4
2000000
100
10
KILIFI
14
299
249
189
2
963
85
356506
1
2530
KIRINYAGA
15
271
228
134
1
49
3
316667
84988
100
10000
KISII
16
315
275
197
2
65
29
3132
7
2200
660000
6
KISUMU
17
327
309
228
3
416
617
28021
100
515
3
272
KITUI
18
236
180
227
12
92
653443
205
20500
KWALE
19
170
141
141
3
254
3
244398
3
20
LAIKIPIA
20
166
139
47
1
34
21
20
12
12
3000
4000000
1102
LAMU
21
63
49
16
175
1
17224
MACHAKOS
22
517
512
416
4
42
57
480564
1
1
MAKUENI
23
272
243
308
17
12
99568
2200000
60
61
MANDERA
24
97
69
497
12
317
2002
14852
1500
54649746
2046
152
MARSABIT
25
113
115
91
3
840
1
284112
4
66
1138
MERU
26
395
328
172
83
5
298413
750
645000
31380
222
MIGORI
27
219
216
87
1
387
1
4761
3
107
MOMBASA
28
188
160
69
284
31
626735
2
400
MURANGA
29
450
427
340
5
98
9
445530
135047
38
12500
NAIROBI
30
2059
1647
1096
18
7144
561
241
140
250000
2
50
NAKURU
31
520
660
683
1
1088
9
2794
1
103000
800002
6600
7
NANDI
32
116
124
99
3
26
1
38
6
NAROK
33
318
306
159
19
111
12
1936
40
250000
210000
1
66
1226
NYAMIRA
34
210
171
221
29
3
24079
1
5680
568000
184
NYANDARUA
35
212
137
53
3
79
6
367807
81374
150000
1500000
1050
45371
NYERI
36
253
183
118
3
38
44
398505
133721
2000000
600
SAMBURU
37
35
33
19
1
189826
SIAYA
38
225
236
93
3
375
1004
25042
304
17
1000000
5113
2
TAITA-TAVETA
39
166
159
98
13
5
2
348120
400
40000
TANA-RIVER
40
133
66
49
2
3978
1885
287984
80000
6018
THARAKA-NITHI
41
55
50
36
36548
TRANS-NZOIA
42
159
133
49
5
1426
200
32572
3
17000
4200000
2800
TURKANA
43
121
178
43
10443
1002
35670
2481
300000
36
1451
UASIN-GISHU
44
134
113
69
3
5
1
36
1
1000
2
VIHIGA
45
117
95
195
7
1
WAJIR
46
65
32
39
1
80223
400
793
10085
1008500
WEST POKOT
47
140
126
108
612
14
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
1
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
1015
23
342
41
2
326220
11352002
3
19
508
2021
1708
1702
840
18
146
31
2
2
4
8200
1780000
45
2022
2122
3322
1443
87
576
101
14
14
14
263500
300401
67
14
2023
1763
1526
1181
1
2046
77
793
79
2024
574
464
359
71
60
150
2025
529
415
293
676
13
3
7
Kenya
Summary:
DataCards: 12307
Period:
1997 - 2025
Highest Mortality:
ROAD ACCIDENT: 6697 Deaths; 6023 DataCards
FIRE: 2121 Deaths; 2005 DataCards
DROWNING: 1981 Deaths; 1846 DataCards
Highest Housing Damages:
FLOOD: 30299 Houses; 752 DataCards
FIRE: 8593 Houses; 2005 DataCards
LANDSLIDE: 215 Houses; 68 DataCards