DesInventar Open Source Initiative
Region: Angola - [ago]          Profile:

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Disaster type
Province
Angola        

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 natural disasters occurred in the region.   Click here for more info
Composition of Disasters

Deaths
DataCards
Affected
Houses Destroyed + Houses Damaged


Temporal Behaviour

Deaths
DataCards
Houses Destroyed , Houses Damaged
Affected
>


Spatial Distribution

Deaths
DataCards
Houses Destroyed + Houses Damaged
Affected



Statistics



Composition of Disasters       get it as Excel
Event DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Affected Relocated Evacuated Losses $USD Losses $Local Education centers Hospitals Damages in crops Ha. Lost Cattle Damages in roads Mts
AVIATION ACCIDENT11655010501040410000000
CHOLERA449004270776802180000000
COASTAL EROSION11003000010006000000000000
CONFLICT117590000000000000
DROUGHT17350006431054723247540125300576000000000010667500
EARTHQUAKE2080065639240580000000
EPIDEMIC9467005157764000000000
EROSION3340125322193203030000000
EXPLOSION1150100000000000
EXTREME TEMPERATURE1000027113550003252000000000
FIRE181043300401535140000020032000000000000
FLOOD1429752973309855113830311507499816277485278191643376045033030008558536007937350000007122000000040
Heavy Rain With Lightnings594421861109532532764621722082600041074494000163247
LANDSLIDE318845001153108665460564062764000000000
LIGHTNING514047500149030250000000
NAVIGATION ACCIDENT11000000000000000
PANDEMIC11300000000000000
PLANE CRASH4331500151515001360000000
POLLUTION1700000000000000
RIVERINE FLOOD382871550390637175789410601710000000
ROAD ACCIDENT23204244002329604902500000000001
STRUCTURAL COLLAPSE235034799481824240475000062103
TORNADO2000109109654000000000


Spatial Distribution       get it as Excel
Geography Code DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Affected Relocated Evacuated Losses $USD Losses $Local Education centers Hospitals Damages in crops Ha. Lost Cattle Damages in roads Mts
Bengo1831005337273175000000000
Benguela0963625953836317679180474371417041975045622600000330300000585360000050000000022000000000
Bié113296920242850341398407310000003
Cabinda012102051741221738680000000
Cuando Cubango1311503001057193741105888109780010110703303
Cuanza Norte05262412740263127298442318270362274000102010
Cuanza Sul06310303804524330720000000
Cunene1615158104908592023105482976232606360000000000000
Huambo101975132011448851179007800101042
Huíla1522163681034511497613181230801000000000001
Luanda0441171652042424169903025072821418720485278192062032904508581167132
Lunda Norte08211739098294136606032000000000000
Lunda Sul171912597043211270000000000
Malanje0739178166001020221114737017630011000
Moxico121000000000000000
Namibe143805222966206157335019010000000
Uíge0363337311678777430000000000
Zaire0223489205445443576664430000000


Temporal Behaviour       get it as Excel
Year DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Affected Relocated Evacuated Losses $USD Losses $Local Education centers Hospitals Damages in crops Ha. Lost Cattle Damages in roads Mts
1917100001629635405400000000
19771000016095608230000000
19782204308543240460000000
19791080065439240580000000
19801140014984000000000
198111000300000170000020000000000000000
19831000000000000000
19841000000000000000
198611400000000000000
19911200000000000000
1992100065634000000000
199320000124000000000
19951101500151515001360000000
199910006636000000000
2001114180000000000000
2002213500003018060021100000000001
20032280017878000000000
200411501500003001800015000000000
2005546243921406132877190188076206969664000024004
200774681569121171918255394210533784775000054146400001880524
200891287902305406061933501510000000
20094157610042015611501004135801
2010352132070225325978174616281502500000060003
201124112390947384217386221690030002
2012202146577741194072555398548001011177
20134720720132069133856569161308089008136133448
201427192115317986306036192565203372110639247500001964534766
20153819712199601462505661854019691575045478594450330300009585360003450000000622000000011
20167953194593417380258989631084259302815400002738704
20173278149154740434557541152908600000010000
Angola

Summary:
DataCards: 349
Period:1917 - 2017

Highest Mortality:
FIRE: 1043 Deaths; 18 DataCards
FLOOD: 975 Deaths; 142 DataCards
EPIDEMIC: 467 Deaths; 9 DataCards
Highest Housing Damages:
DROUGHT: 6431054 Houses; 17 DataCards
RIVERINE FLOOD: 375663 Houses; 38 DataCards
FLOOD: 123685 Houses; 142 DataCards



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