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Region: Kenya - [ken]          Profile:

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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 $USD Losses $Local Education centers Hospitals Damages in crops Ha. Lost Cattle Damages in roads Mts
CONFLICT11113510
DROUGHT56968121541497045360
DROWNING14418921
ELECTROCUTION16184
EPIDEMIC301443464263731
FIRE488203316442118617993482000
FLOOD7355631361122647770885207630397954552571497461200015703
FOREST FIRE41755000043790
LANDSLIDE461061482213222459186
LIGHTNING912271
MUDSLIDE671
PLAGUE1
RAINS481023622487
ROAD ACCIDENT12971904194416512
STORM254
STRUCTURAL COLLAPSE23641926140
SUBSIDENCE311
TERROR ATTACK1
THUNDERSTORM192314311380000152
WINDSTORM31158101004151000003


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
BARINGO017864476359174342000216067
BOMET023343733
BUNGOMA0382881043211532
BUSIA04684841149424122952177050
EMBU055264441154831
GARISSA064746513100351011102000
HOMABAY077813369595294372962234395257
ISIOLO08413427555354285959177540
KAJIADO096268299017
KAKAMEGA1093116160247891591090
KEIYO-MARAKWET112956163150907900
KERICHO124456472141010
KIAMBU1319514280511879268202332942000000100
KILIFI1410050449497035650612530
KIRINYAGA156449413631666784988
KISII168384463725313274600006
KISUMU17124135157412615280211005153272
KITUI1812647771092653443
KWALE194838621252443983
LAIKIPIA205339201020810000001100
LAMU211710517417224
MACHAKOS221521541633114804141
MAKUENI2312590193131099568220000060
MANDERA2451344723002000148521500546497462046152
MARSABIT2558622428202841124661110
MERU26116904822229841357000031380213
MIGORI27687730137447613107
MOMBASA28686131208246267352
MURANGA2911610586479244553013504738
NAIROBI304934703852444847524114025000050
NAKURU31155234209100622794180000066007
NANDI324162624138
NAROK3377109294761936402100001956
NYAMIRA3427153410240791
NYANDARUA35883626341136780781374105045360
NYERI3685502218103985051337212000000600
SAMBURU3717197189826
SIAYA387174302321001250403021510000005113
TAITA-TAVETA3958581912348120
TANA-RIVER409934639751884287984800006018
THARAKA-NITHI4125201836548
TRANS-NZOIA4251317414172003257225000002800
TURKANA436513113104391002356702481300000361451
UASIN-GISHU442928813610002
VIHIGA45253028
WAJIR463662280223400
WEST POKOT4775725960925752101
321


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
19974
2002327711
200397327215655700
200421000
200529111581401100
2006211725043543271694217756201000
2007231111624848
200890625132112094334529271556929746127282000
200943028296633041375372856761553500004045615
201030214815689034152888461362223418931085
201127736273113763119411300315260000030045362
201213724712829274391316374601
201312017213920316543510410650
2014221224111306149679
20155487239524171163807932023950001603
20165256726051453194181403087000
2017152185
2019851937804122510
2020155140705672
Kenya

Summary:
การ์ดข้อมูล: 3791
ช่วงเวลา:1997 - 2020

Highest Mortality:
ROAD ACCIDENT: 1904 ตาย; 1297 การ์ดข้อมูล
FLOOD: 563 ตาย; 735 การ์ดข้อมูล
EPIDEMIC: 443 ตาย; 301 การ์ดข้อมูล
Highest Housing Damages:
FLOOD: 30355 Houses; 735 การ์ดข้อมูล
FIRE: 4607 Houses; 488 การ์ดข้อมูล
LANDSLIDE: 215 Houses; 46 การ์ดข้อมูล


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