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Region: Cambodia - [cam]          Profile:

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Cambodia        

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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
Drought134315183427662171183903811541110
Epidemic563719
Fire19021361084235642937970691200001168
Flood356411507922393313124371226675717158642353664544384012245207169348
Lightning94099050313517036225111502259
Pest Outbreak102237815915
River Bank Collapse5832101526122229246370
Storm157311351321141625354171311341731114539539873210


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
Banteay Meanchey0151410639303739216241734213262225579413934004
Battambang0256516513723687354124873012142314611506892
Kampong Cham03773317530183359224636734751282040303612662479
Kampong Chhnang0442675834568524372357891749662150234
Kampong Speu05415302120061629025539852436179840
Kampong Thom062881321203322583317798120000462125376125766548
Kampot07500622020622463648394879234754945977255
Kandal08525206502084580323175826114547899568678
Kep23357193513111245605
Koh Kong091151061888911514122244
Kratie1054011041342428391350332675818425615918345002
Mondul Kiri1113131341672012330644652
Otdar Meanchey2226135279991980654212520084480298
Pailin24142452015101466231132555610141006
Phnom Penh12309343677910292263922346542400
Preah Sihanouk1811638311406871646112403
Preah Vihear13444161356614691542974630751492313993
Prey Veng1455134133118223661050872913349428600434
Pursat15294884016111321518818765372581722
Ratanak Kiri161622410969192140896324203612803108519
Siem Reap171250158506385423831029251880088487690957159
Stung Treng192131672914421322826670263822867202249
Svay Rieng2039418952370450203093013535957151784
Takeo21575194432980653395841626773123717638


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
199641169232891357295181264129
1997259875
1998182652
19992731278496758976
200020338874821305792033056488059944574236844545194
20011582416717256117101288941043961259734
200217813712915221803637892041059852024122
20039911471639102298149556394849
2004608328274123465807164853209883180
200522729387410561101676538684777838489021
200636929945911289115561292103586586975161
200737933211040113985228413622343921193823
200825949191609154198521172214572363322
200983017717920523679549599274491339526037332866856866
201053491902636319016643116280741814766402428591855
20111303458131963183818901782151551021752035951511162640686
2012766192107957170388594506010634616035621019
201318363751392684750919215022919158715272090136501874617
20144171301036148081360153170356462035847741958
2015557101126184937824520601120000324173839
20163655191112943441535462990941604101011736785
2017270981022409718613861376341211586011142846
20186951315134943795144744
Cambodia

Summary:
DataCards: 9538
Period:1996 - 2018

Highest Mortality:
Flood: 1150 Deaths; 3564 DataCards
Lightning: 990 Deaths; 940 DataCards
Fire: 136 Deaths; 1902 DataCards
Highest Housing Damages:
Storm: 36770 Houses; 1573 DataCards
Flood: 33705 Houses; 3564 DataCards
Fire: 4877 Houses; 1902 DataCards


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