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
1
2
ANIMAL INCIDENT
50
39
21
16
5
45
CONFLICT
21
6
23
9
510
DROUGHT
574
5
6812154
14970
45360
DROWNING
1355
1461
15
27
ELECTROCUTION
186
191
32
1
1
2
EPIDEMIC
302
444
464
2637
31
FIRE
1437
2005
498
31
5831
363
195
16
9
18
595715
16893901
1
86
287
FLOOD
745
566
138
12
22590
7708
849352
303
9795
4552
57149746
1
20001
5973
FOREST FIRE
41
1
7550000
43790
LANDSLIDE
64
123
157
2
213
2
2245
918
2
6
LIGHTNING
21
23
42
1
MUDSLIDE
13
12
2
PLAGUE
1
RAINS
48
10
2
3
622487
ROAD ACCIDENT
4839
5541
4983
53
2
9
51
2
42
STORM
2
5
4
STRUCTURAL COLLAPSE
43
72
224
6
140
SUBSIDENCE
3
1
1
TERROR ATTACK
10
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
157
142
125
2
442
6450
12000
1542000
2160
67
BOMET
02
153
156
133
1
3
2
3
980001
BUNGOMA
03
220
257
177
5
5
5
21153
2
BUSIA
04
180
133
74
7
35
1
94242
1
2295
1
2
1770
50
EMBU
05
129
138
97
1
3
1
154831
GARISSA
06
82
76
72
3
100
35101
1
10
2000
HOMABAY
07
250
275
127
3
66
9
2943
7
296
2234
20000
2000000
395
285
ISIOLO
08
73
68
70
555
354
285959
1775
40
40
KAJIADO
09
182
172
92
122
1
18
1
5000
500000
KAKAMEGA
10
329
321
233
6
29
10
478915
9
6000
630000
1090
4
KEIYO-MARAKWET
11
41
71
23
3
150
907
900
KERICHO
12
154
152
122
7
3
14
10
10
KIAMBU
13
606
2031
274
23
16
19
879268
202332
9
4
2000000
100
10
KILIFI
14
237
205
154
2
951
71
356506
1
2530
KIRINYAGA
15
216
190
91
1
44
1
316667
84988
100
10000
KISII
16
226
205
90
2
48
28
3132
7
2200
660000
6
KISUMU
17
260
248
204
3
413
617
28021
100
515
3
272
KITUI
18
207
158
219
10
92
653443
205
20500
KWALE
19
124
107
101
3
232
3
244398
3
20
LAIKIPIA
20
138
118
42
1
32
21
20
12
12
3000
4000000
1100
LAMU
21
50
38
13
174
1
17224
MACHAKOS
22
421
436
381
4
35
4
480414
1
MAKUENI
23
227
180
267
13
11
99568
2200000
60
60
MANDERA
24
80
62
488
12
300
2002
14852
1500
54649746
2046
152
MARSABIT
25
102
108
69
3
840
1
284112
4
66
1138
MERU
26
328
271
133
51
3
298413
750
645000
31380
222
MIGORI
27
162
172
66
1
377
4761
3
107
MOMBASA
28
154
140
65
231
31
626735
2
400
MURANGA
29
360
338
235
5
88
8
445530
135047
38
12500
NAIROBI
30
1643
1374
929
18
5294
552
241
140
250000
2
50
NAKURU
31
410
511
396
1
1052
9
2794
1
103000
800002
6600
7
NANDI
32
93
114
83
3
6
1
38
NAROK
33
243
247
117
19
92
10
1936
40
250000
210000
1
66
1226
NYAMIRA
34
150
130
190
18
1
24079
1
5680
568000
184
NYANDARUA
35
186
120
48
3
72
6
367807
81374
150000
1500000
1050
45371
NYERI
36
198
148
97
3
20
12
398505
133721
2000000
600
SAMBURU
37
26
28
11
189826
SIAYA
38
174
189
69
3
365
1003
25042
304
17
1000000
5113
2
TAITA-TAVETA
39
138
118
54
13
3
2
348120
400
40000
TANA-RIVER
40
126
63
47
2
3978
1885
287984
80000
6018
THARAKA-NITHI
41
43
41
34
36548
TRANS-NZOIA
42
130
103
34
5
1424
200
32572
3
17000
4200000
2800
TURKANA
43
102
158
34
10439
1002
35670
2481
300000
36
1451
UASIN-GISHU
44
99
90
32
3
4
1
36
1
1000
2
VIHIGA
45
98
82
192
3
WAJIR
46
48
22
29
80223
400
10085
1008500
WEST POKOT
47
122
111
96
610
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
439
418
232
1
507
21
79
2024
12
7
1
4
Kenya
Summary:
DataCards: 9892
Period:
1997 - 2024
Highest Mortality:
ROAD ACCIDENT: 5541 Deaths; 4839 DataCards
FIRE: 2005 Deaths; 1437 DataCards
DROWNING: 1461 Deaths; 1355 DataCards
Highest Housing Damages:
FLOOD: 30298 Houses; 745 DataCards
FIRE: 6194 Houses; 1437 DataCards
LANDSLIDE: 215 Houses; 64 DataCards