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Region: Angola - [ago]          Profile:

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Angola        

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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
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
AVIATION ACCIDENT11655015010441
CHOLERA44942707768218
COASTAL EROSION110030010006000
CONFLICT11759
DROUGHT173564310547232475401253057600000000106675
EARTHQUAKE28656392458
EPIDEMIC94675157764
EROSION3341253221932303
EXPLOSION1151
EXTREME TEMPERATURE1271135532520000
FIRE181043300415351400200320000000
FLOOD1489793003309875114392314943506816328485278191643376045033030009958536009738150000007122000000040
Heavy Rain With Lightnings59442186110953253276462172208260041074494000163247
LANDSLIDE3188450115310866546564627640000
LIGHTNING51404751490325
NAVIGATION ACCIDENT110
PANDEMIC113
PLANE CRASH4331501515150136
POLLUTION17
RIVERINE FLOOD3828715539063717578941060171
ROAD ACCIDENT232042442329649250000001
STRUCTURAL COLLAPSE235347994818242447500006213
TORNADO2109109654


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
Bengo18315337273175
Benguela09636259538363176791804743714170419754562260000033030000058536000050000000022000000000
Bié1132969224285034139847313
Cabinda0121025174122173868
Cuando Cubango131150301057193741105888109781011070333
Cuanza Norte0526241274263127298442318273622740001210
Cuanza Sul06310338045243372
Cunene161515810498592023105482976232663600000000
Huambo1019751321144885117907810142
Huíla15221636810345114976131812308100000001
Luanda0447172052342424369959225416422118771485278192062032904509999247132
Lunda Norte082117399829413666320000000
Lunda Sul17191259743211270
Malanje073917816601020221114737176311
Moxico121
Namibe14380522296620615733501901
Uíge03633373116787774300
Zaire02234892544544357666443


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
19171162963540540
19771160956823
19782204385432446
197918654392458
198011414984
1981110003000170200000000000
19831
19841
1986114
199112
1992165634
19932124
19951101501515150136
199916636
200111418
2002213503018602110000001
200322817878
20041150150030018001500
2005546243921406132877191880762069696640000244
20077468156912117191825539421053378477500005414640000188524
2008912879230540606193350151
20094157610042015611501413581
20103521320722532597817461628152500000063
201124112399473842173862216932
20122021465777411940725553985481011177
201347207201320691338565691613080898136133448
20142719211531798630603619256520337211639247500001964534766
20154220113199601866835928056619801575045478594450330300014585360007450000000622000000011
2016815319659343338038799737112826332815400003652154
201732781491547404345575411529860000001
Angola

Summary:
DataCards: 355
Period:1917 - 2017

Highest Mortality:
FIRE: 1043 Deaths; 18 DataCards
FLOOD: 979 Deaths; 148 DataCards
EPIDEMIC: 467 Deaths; 9 DataCards
Highest Housing Damages:
DROUGHT: 6431054 Houses; 17 DataCards
RIVERINE FLOOD: 375663 Houses; 38 DataCards
FLOOD: 124267 Houses; 148 DataCards


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