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Region: Kenya - [ken]          Profile:

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Disaster type
County
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
CONFLICT912510
DROUGHT56968121541497045360
DROWNING981432
ELECTROCUTION11133
EPIDEMIC301443464263731
FIRE478200316441517917793482000
FLOOD7355631361122647770885207630397954552571497461200015703
FOREST FIRE41755000043790
LANDSLIDE451051462213222459186
LIGHTNING912271
MUDSLIDE671
PLAGUE1
RAINS481023622487
ROAD ACCIDENT12151823190112512
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
BARINGO017557466359174342000216067
BOMET023241733
BUNGOMA0379851043211532
BUSIA04664641149424122952177050
EMBU055163441154831
GARISSA06464651100351011102000
HOMABAY077212767595294372962234395257
ISIOLO08413427555354285959177540
KAJIADO095965259017
KAKAMEGA1087111155247891591090
KEIYO-MARAKWET112855163150907900
KERICHO124152472141010
KIAMBU1318513479511879268202332942000000100
KILIFI149546449497035650512530
KIRINYAGA155944373631666784988
KISII168181463725313274600006
KISUMU17118127155412615280211005153272
KITUI1812546771092653443
KWALE19463762252443983
LAIKIPIA205339201020810000001100
LAMU211710517417224
MACHAKOS221471511633114804131
MAKUENI2312489193131099568220000060
MANDERA2450334723002000148521500546497462046152
MARSABIT2558622428202841124661110
MERU26107824322229841357000031380213
MIGORI27687730137447613107
MOMBASA28655930208236267352
MURANGA29108988679244553013504738
NAIROBI304654463792444846924114025000050
NAKURU31154233209100622794180000066007
NANDI324062544138
NAROK3371104234761936402100001956
NYAMIRA342615347240791
NYANDARUA35843225341136780781374105045360
NYERI3683482218103985051337212000000600
SAMBURU3717197189826
SIAYA386669282321001250403021510000005113
TAITA-TAVETA3955551812348120
TANA-RIVER409832339751884287984800006018
THARAKA-NITHI4125201836548
TRANS-NZOIA4251317414172003257225000002800
TURKANA436413013104391002356702481300000361451
UASIN-GISHU442928813610002
VIHIGA45242928
WAJIR463561880223400
WEST POKOT4773705960925752101
22


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
20209413
Kenya

Summary:
DataCards: 3645
Periode:1997 - 2020

Highest Mortality:
ROAD ACCIDENT: 1823 Meninggal; 1215 DataCards
FLOOD: 563 Meninggal; 735 DataCards
EPIDEMIC: 443 Meninggal; 301 DataCards
Highest Housing Damages:
FLOOD: 30355 Houses; 735 DataCards
FIRE: 4594 Houses; 478 DataCards
LANDSLIDE: 215 Houses; 45 DataCards


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