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
FIRE
DROWNING
FLOOD
DROUGHT
EPIDEMIC
ELECTROCUTION
WINDSTORM
LANDSLIDE
ANIMAL INCIDENT
RAINS
STRUCTURAL COLLAPSE
FOREST FIRE
LIGHTNING
CONFLICT
THUNDERSTORM
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
48
37
21
16
5
45
CONFLICT
21
6
23
9
510
DROUGHT
574
5
6812154
14970
45360
DROWNING
1328
1434
15
27
ELECTROCUTION
176
181
32
1
1
2
EPIDEMIC
302
444
464
2637
31
FIRE
1414
1998
497
31
5757
361
195
16
9
18
595715
16893901
1
86
287
FLOOD
744
566
137
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
4731
5429
4889
53
2
9
51
2
42
STORM
2
5
4
STRUCTURAL COLLAPSE
42
72
223
6
140
SUBSIDENCE
3
1
1
TERROR ATTACK
9
13
15
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
154
138
123
2
442
6450
12000
1542000
2160
67
BOMET
02
148
154
124
1
2
2
3
980001
BUNGOMA
03
218
255
177
5
5
5
21153
2
BUSIA
04
176
130
74
7
33
1
94242
1
2295
1
2
1770
50
EMBU
05
127
137
97
1
2
1
154831
GARISSA
06
82
76
72
3
100
35101
1
10
2000
HOMABAY
07
245
272
126
3
64
9
2943
7
296
2234
20000
2000000
395
285
ISIOLO
08
71
66
68
555
354
285959
1775
40
40
KAJIADO
09
178
169
91
122
1
18
1
5000
500000
KAKAMEGA
10
321
314
232
6
29
10
478915
9
6000
630000
1090
4
KEIYO-MARAKWET
11
41
71
23
3
150
907
900
KERICHO
12
151
150
120
7
3
14
10
10
KIAMBU
13
596
2020
258
23
15
19
879268
202332
9
4
2000000
100
10
KILIFI
14
236
204
154
2
951
71
356506
1
2530
KIRINYAGA
15
211
185
89
1
44
1
316667
84988
100
10000
KISII
16
216
196
88
2
41
28
3132
7
2200
660000
6
KISUMU
17
258
246
203
3
413
617
28021
100
515
3
272
KITUI
18
206
157
219
10
92
653443
205
20500
KWALE
19
119
101
100
3
232
3
244398
3
20
LAIKIPIA
20
137
116
42
1
32
21
20
12
12
3000
4000000
1100
LAMU
21
50
38
13
174
1
17224
MACHAKOS
22
411
425
374
4
35
3
480414
1
MAKUENI
23
222
176
266
13
11
99568
2200000
60
60
MANDERA
24
78
62
487
12
300
2002
14852
1500
54649746
2046
152
MARSABIT
25
101
107
69
3
840
1
284112
4
66
1138
MERU
26
323
267
133
49
3
298413
750
645000
31380
222
MIGORI
27
161
171
66
1
377
4761
3
107
MOMBASA
28
153
139
62
231
31
626735
2
400
MURANGA
29
353
330
232
5
88
8
445530
135047
38
12500
NAIROBI
30
1606
1340
914
18
5244
552
241
140
250000
2
50
NAKURU
31
402
503
378
1
1049
9
2794
1
103000
800002
6600
7
NANDI
32
93
114
83
3
6
1
38
NAROK
33
239
244
114
19
92
9
1936
40
250000
210000
1
66
1226
NYAMIRA
34
148
128
190
18
1
24079
1
5680
568000
184
NYANDARUA
35
185
119
48
3
72
6
367807
81374
150000
1500000
1050
45371
NYERI
36
193
143
95
3
20
12
398505
133721
2000000
600
SAMBURU
37
26
28
11
189826
SIAYA
38
172
187
69
3
365
1003
25042
304
17
1000000
5113
2
TAITA-TAVETA
39
137
117
54
13
2
348120
400
40000
TANA-RIVER
40
126
63
47
2
3978
1885
287984
80000
6018
THARAKA-NITHI
41
42
40
32
36548
TRANS-NZOIA
42
128
102
34
5
1423
200
32572
3
17000
4200000
2800
TURKANA
43
101
157
34
10439
1002
35670
2481
300000
36
1451
UASIN-GISHU
44
97
88
29
3
4
1
36
1
1000
2
VIHIGA
45
96
81
192
2
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
get it as Excel
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
276
265
135
1
437
19
79
2024
2
2
Kenya
Summary:
DataCards: 9719
Period:
1997 - 2024
Highest Mortality:
ROAD ACCIDENT: 5429 Deaths; 4731 DataCards
FIRE: 1998 Deaths; 1414 DataCards
DROWNING: 1434 Deaths; 1328 DataCards
Highest Housing Damages:
FLOOD: 30298 Houses; 744 DataCards
FIRE: 6118 Houses; 1414 DataCards
LANDSLIDE: 215 Houses; 64 DataCards