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Region: Kenya - [ken]

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Disaster type

County

Kenya

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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 $Local	Education centers	Damages in crops Ha.	Lost Cattle
CONFLICT	9	1	2											510
DROUGHT	569						6812154	14970						45360
DROWNING	107	152	2
ELECTROCUTION	12	13	4
EPIDEMIC	301	443	464				2637	31
FIRE	479	200	316		4418	179	177		9		3482000
FLOOD	735	563	136	11	22647	7708	852076	303	9795	4552	57149746	1	20001	5703
FOREST FIRE	41										7550000		43790
LANDSLIDE	45	105	146	2	213	2	2245		918				6
LIGHTNING	9	12	27									1
MUDSLIDE	6	7	1
PLAGUE	1
RAINS	48	10	2			3		622487
ROAD ACCIDENT	1228	1833	1912	16				51		2
STORM	2	5		4
STRUCTURAL COLLAPSE	23	64	192				6			140
SUBSIDENCE	3	1	1
TERROR ATTACK	1
THUNDERSTORM	19	23	14	3	1	1	3				80000	1		52
WINDSTORM	31	15	8			10	1004	15			100000	3

Spatial Distribution get it as Excel

Geography	Code	DataCards	Deaths	Injured	Missing	Houses Destroyed	Houses Damaged	Indirectly Affected	Directly affected	Relocated	Evacuated	Losses $Local	Education centers	Damages in crops Ha.	Lost Cattle
BARINGO	01	75	57	46		635		9174				342000		2160	67
BOMET	02	32	41	73				3
BUNGOMA	03	79	85	104			3	21153	2
BUSIA	04	67	47	41		14		94241		2295			2	1770	50
EMBU	05	51	63	44		1		154831
GARISSA	06	46	46	51			100	35101	1		10				2000
HOMABAY	07	73	128	67		59	5	2943	7	296	2234			395	257
ISIOLO	08	41	34	27		555	354	285959			1775			40
KAJIADO	09	60	66	25		90		17
KAKAMEGA	10	87	111	155		2		478915	9					1090
KEIYO-MARAKWET	11	29	56	16	3	150		907		900
KERICHO	12	41	52	47		2		14	10					10
KIAMBU	13	186	135	79		5	11	879268	202332	9	4	2000000		100
KILIFI	14	97	48	44		949	70	356505	1	2530
KIRINYAGA	15	60	45	38		36		316667	84988
KISII	16	81	81	46		37	25	3132	7			460000		6
KISUMU	17	118	127	155		412	615	28021		100	515		3	272
KITUI	18	125	46	77		10	92	653443
KWALE	19	46	37	62		25		244398	3
LAIKIPIA	20	53	39	20		10	20	8				1000000		1100
LAMU	21	17	10	5		174		17224
MACHAKOS	22	149	153	163		31	1	480413			1
MAKUENI	23	124	89	193		13	10	99568				2200000		60
MANDERA	24	50	33	472		300	2000	14852		1500		54649746		2046	152
MARSABIT	25	58	62	24	2	820		284112	4	66					1110
MERU	26	108	83	43		22	2	298413				570000		31380	213
MIGORI	27	68	77	30	1	374		4761	3	107
MOMBASA	28	66	59	31		208	23	626735	2
MURANGA	29	109	98	86	4	79	2	445530	135047	38
NAIROBI	30	468	449	379	2	4448	469	241			140	250000		50
NAKURU	31	154	233	209		1006	2	2794	1			800000		6600	7
NANDI	32	40	62	54		4	1	38
NAROK	33	73	105	24	4	76		1936	40			210000	1		956
NYAMIRA	34	27	15	34		10		24079	1
NYANDARUA	35	85	33	26	3	41	1	367807	81374					1050	45360
NYERI	36	83	48	22	1	8	10	398505	133721			2000000		600
SAMBURU	37	17	19	7				189826
SIAYA	38	67	70	28		232	1001	25040	302		15	1000000		5113
TAITA-TAVETA	39	55	55	18	12			348120
TANA-RIVER	40	99	34	6		3975	1884	287984				80000		6018
THARAKA-NITHI	41	25	20	18				36548
TRANS-NZOIA	42	51	31	7	4	1417	200	32572				2500000		2800
TURKANA	43	64	130	13		10439	1002	35670		2481		300000		36	1451
UASIN-GISHU	44	29	28	8		1		36						1000	2
VIHIGA	45	24	29	28
WAJIR	46	36	6	22				80223		400
WEST POKOT	47	73	70	59		609		2575	2					101
		3	2	1

Temporal Behaviour get it as Excel

Year	DataCards	Deaths	Injured	Missing	Houses Destroyed	Houses Damaged	Indirectly Affected	Directly affected	Relocated	Evacuated	Losses $Local	Education centers	Damages in crops Ha.	Lost Cattle
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	302	148	15	6	8903	415	288846		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	33	23	25	4	3

Kenya

Summary:
DataCards: 3669
Period:1997 - 2020

Highest Mortality:
ROAD ACCIDENT: 1833 Deaths; 1228 DataCards
FLOOD: 563 Deaths; 735 DataCards
EPIDEMIC: 443 Deaths; 301 DataCards
Highest Housing Damages:
FLOOD: 30355 Houses; 735 DataCards
FIRE: 4597 Houses; 479 DataCards
LANDSLIDE: 215 Houses; 45 DataCards