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Region: Cambodia - [cam]          Profile:

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Disaster type
Province
Cambodia        

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
Houses Destroyed + Houses Damaged


Temporal Behaviour

Deaths
DataCards
Houses Destroyed , Houses Damaged
Indirectly Affected
>


Spatial Distribution

Deaths
DataCards
Houses Destroyed + Houses Damaged
Indirectly Affected



Statistics



Composition of Disasters       get it as Excel
Event DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Indirectly Affected Relocated Evacuated Losses $USD Losses $Local Education centers Hospitals Damages in crops Ha. Lost Cattle Damages in roads Mts
Drought134300000151834000011083903811541110
Epidemic563700000000000000
Fire189213610804228640906912000000011680
Flood35591150792023933131201715864191600664544384012245207169348
Lightning931986498135170360100015022550
Pest Outbreak1020000000000001591500
River Bank Collapse56320101517024136000000370
Storm152511250521126424484171303111004139539873210


Spatial Distribution       get it as Excel
Geography Code DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Indirectly Affected Relocated Evacuated Losses $USD Losses $Local Education centers Hospitals Damages in crops Ha. Lost Cattle Damages in roads Mts
Banteay Meanchey0151010639027366321624173421003242225579413934004
Battambang0255916513702362733812487300012142314611506892
Kampong Cham037713175300183159220463673470051282040303612662479
Kampong Chhnang043867074044877800231410081749661750234
Kampong Speu05414302101996162009025005309852436179840
Kampong Thom062871321200331257130177981200000462125376125766548
Kampot075006220020622463648309487900234754945977255
Kandal0852220650020825794019075826001014547899568678
Kep233571903513100000101245605
Koh Kong0911510601888910000010514122244
Kratie10540110410342428391350332675008018425615918345002
Mondul Kiri111313134016720120000003306404652
Otdar Meanchey2225435230900183800654200110520084480298
Pailin2414145201510145800231100302555610141006
Phnom Penh1230734360779102720263900223465402400
Preah Sihanouk181143831013415500000001646112403
Preah Vihear1344416130566146910542970040630751492313993
Prey Veng14550341330118223660050862009103349428600434
Pursat15291884001571032105188000018765372581722
Ratanak Kiri1616224100969192014089006324203612803108519
Siem Reap171250158506038542383102925018800000088487690957159
Stung Treng19213167029144213228026670002603822867202249
Svay Rieng2039318952037045000203090030013535957151784
Takeo215751944329806533905840016026773123717638


Temporal Behaviour       get it as Excel
Year DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Indirectly Affected Relocated Evacuated Losses $USD Losses $Local Education centers Hospitals Damages in crops Ha. Lost Cattle Damages in roads Mts
199641169200328900000181026412900
199725000000000000987500
199818000000000000265200
19992730012006750000897600
2000203388748213057920008059900440574236844545194
200115824001671725001288900401043961259734
200217813701291522008920400001059852024122
20039911004716390014950000563940849
20046083280274123001648000053209883180
20052272930874105605386800004777838489021
200636929904591128001292001003586586975161
20073793321010401139041300000622343921193823
2008259491901609154100172200104572363322
2009830177179020523679027449133009526037332866856866
2010534919002636319001628074180014766402428591855
20111303458131096318380215155102001752035951511162640686
2012766192107095717030050600010634616035621019
201318363751390268475090291915870015272090136501874617
201441713010306148081170356460020035847741958
2015557101126018493782450112000003241738390
2016365519111294344153546016000004101011736785
2017265981020232918601376340010211586011142846
Cambodia

Summary:
DataCards: 9464
Period:1996 - 2017

Highest Mortality:
Flood: 1150 Deaths; 3559 DataCards
Lightning: 986 Deaths; 931 DataCards
Fire: 136 Deaths; 1892 DataCards
Highest Housing Damages:
Storm: 35748 Houses; 1525 DataCards
Flood: 33705 Houses; 3559 DataCards
Fire: 4868 Houses; 1892 DataCards


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