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
65
46
30
16
5
51
CONFLICT
23
8
23
9
510
DROUGHT
574
5
6812154
14970
45360
DROWNING
1687
1818
33
27
ELECTROCUTION
289
288
56
1
1
2
EPIDEMIC
302
444
464
2637
31
FIRE
1877
2098
567
31
8025
434
195
16
9
18
595715
16893901
1
89
287
FLOOD
748
567
138
12
22590
7708
849352
303
9795
5345
57149746
1
20001
5973
FOREST FIRE
41
1
7550000
43790
LANDSLIDE
65
123
157
2
213
2
2245
918
2
6
LIGHTNING
26
27
45
1
1
MUDSLIDE
13
12
2
PLAGUE
1
RAINS
48
10
2
3
622487
ROAD ACCIDENT
5752
6452
5998
53
2
9
51
2
42
STORM
2
5
4
STRUCTURAL COLLAPSE
46
75
230
6
140
SUBSIDENCE
3
1
1
TERROR ATTACK
11
13
16
12
THUNDERSTORM
20
24
15
3
1
1
3
80000
1
52
WINDSTORM
116
90
99
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
182
161
139
2
445
6450
12000
1542000
2160
67
BOMET
02
185
181
142
1
7
2
3
980001
BUNGOMA
03
249
279
184
5
10
5
21153
2
BUSIA
04
214
160
92
7
42
1
94242
1
2295
1
2
1770
50
EMBU
05
160
158
103
1
15
2
154831
GARISSA
06
83
77
72
3
100
35101
1
10
2000
HOMABAY
07
293
325
178
3
86
9
2943
7
296
2234
20000
2000000
395
285
ISIOLO
08
87
78
80
555
355
285959
1775
40
40
KAJIADO
09
217
197
124
139
1
18
1
5000
500000
KAKAMEGA
10
382
378
270
6
30
10
478915
9
6000
630000
1090
4
KEIYO-MARAKWET
11
46
75
27
3
151
907
900
KERICHO
12
183
181
146
11
3
14
10
10
KIAMBU
13
732
2136
331
23
28
20
879268
202332
9
4
2000000
100
10
KILIFI
14
286
241
179
2
961
71
356506
1
2530
KIRINYAGA
15
254
217
118
1
45
3
316667
84988
100
10000
KISII
16
290
260
161
2
61
28
3132
7
2200
660000
6
KISUMU
17
307
292
210
3
416
617
28021
100
515
3
272
KITUI
18
230
174
222
12
92
653443
205
20500
KWALE
19
163
137
139
3
254
3
244398
3
20
LAIKIPIA
20
158
131
47
1
34
21
20
12
12
3000
4000000
1102
LAMU
21
58
44
13
175
1
17224
MACHAKOS
22
495
496
412
4
42
54
480414
1
1
MAKUENI
23
263
237
293
16
12
99568
2200000
60
61
MANDERA
24
91
68
489
12
317
2002
14852
1500
54649746
2046
152
MARSABIT
25
110
114
88
3
840
1
284112
4
66
1138
MERU
26
374
304
153
79
4
298413
750
645000
31380
222
MIGORI
27
205
205
87
1
385
4761
3
107
MOMBASA
28
179
152
66
284
31
626735
2
400
MURANGA
29
426
401
332
5
98
9
445530
135047
38
12500
NAIROBI
30
1986
1609
1057
18
7100
561
241
140
250000
2
50
NAKURU
31
488
588
575
1
1087
9
2794
1
103000
800002
6600
7
NANDI
32
110
121
99
3
25
1
38
6
NAROK
33
298
289
144
19
111
12
1936
40
250000
210000
1
66
1226
NYAMIRA
34
194
159
204
26
2
24079
1
5680
568000
184
NYANDARUA
35
205
133
51
3
77
6
367807
81374
150000
1500000
1050
45371
NYERI
36
236
171
111
3
32
12
398505
133721
2000000
600
SAMBURU
37
29
30
18
189826
SIAYA
38
216
230
91
3
373
1003
25042
304
17
1000000
5113
2
TAITA-TAVETA
39
157
152
91
13
5
2
348120
400
40000
TANA-RIVER
40
133
66
49
2
3978
1885
287984
80000
6018
THARAKA-NITHI
41
50
45
36
36548
TRANS-NZOIA
42
153
127
49
5
1426
200
32572
3
17000
4200000
2800
TURKANA
43
113
167
42
10443
1002
35670
2481
300000
36
1451
UASIN-GISHU
44
121
106
39
3
5
1
36
1
1000
2
VIHIGA
45
113
92
194
7
1
WAJIR
46
60
31
31
1
80223
400
793
10085
1008500
WEST POKOT
47
135
120
97
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
1014
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
162
112
52
36
11
2025
348
265
146
623
4
3
7
Kenya
Summary:
DataCards: 11714
Period:
1997 - 2025
Highest Mortality:
ROAD ACCIDENT: 6452 Deaths; 5752 DataCards
FIRE: 2098 Deaths; 1877 DataCards
DROWNING: 1818 Deaths; 1687 DataCards
Highest Housing Damages:
FLOOD: 30298 Houses; 748 DataCards
FIRE: 8459 Houses; 1877 DataCards
LANDSLIDE: 215 Houses; 65 DataCards