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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 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
AVIATION ACCIDENT51935505235
CHOLERA23029596176176
COASTAL EROSION1100300100060001800
DROUGHT935306861841161830035401253057600000000106675
EARTHQUAKE286563924392458
EPIDEMIC229467654654
EROSION1532501500303
EXPLOSION1151
FIRE11102130046181541006200000000000
FLOOD786782060196975159725877857998288189791128040000033030001058536000135850000000022000000007
Heavy Rain With Lightnings23416184010943072241327741022922082510409942000007144
LANDSLIDE31884501153108665466476564627640000
LIGHTNING413747513885207425
NAVIGATION ACCIDENT110
PLANE CRASH3291501515150169136
RIVERINE FLOOD11763121380717129016068
ROAD ACCIDENT20164200511710942
TORNADO1


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
Bengo18315337273175
Benguela092740882183262420486116885111887170418724562260000033030000058536000050000000022000000000
Bié1111738114224275723549177283
Cabinda0121025174122173868
Cuando Cubango13734301050192391104341067378109781011070333
Cuanza Norte051813918622571536482387231737
Cuanza Sul06310338045243331572
Cunene1615158104985920231054816382976232663600000000
Huambo101435112833885990148926524
Huíla151915168103451123741668321812308100000001
Luanda04714594350137261633592863481491201269640000514
Lunda Norte0827271
Lunda Sul1719125974321127060
Malanje0721601650153151950181501636
Moxico121
Namibe143805222966206157331113501901
Uíge032307515150552552300
Zaire022348925445443576273666443


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
19171162963963540540
19771160956823
19782204385432432446
1979186543924392458
19801141498414
19811100030001701000200000000000
19841
198611414
1991122
19931
19951101501515150150136
200111418
2003115
2004115015003001800180001500
2005335223684117954954262630000000
20076358115912610848539450231273639640000514
200861136452935562863650146
2009387610042015615021501413581
2010321311722233257780043261616281562
20111631336133018154181423622121
2012712032195120737476397282
2013281609221679289821562101506322878296133044
20149170108115481274878346345200046516360000000045345
20151177609946902283322391303454018924547220000033030000258536000050000000022000000000
20163340183292189386312794809010842124150400000
20179387187244188399141142710000000
Angola

Summary:
DataCards: 178
Period:1917 - 2017

Highest Mortality:
FIRE: 1021 Deaths; 11 DataCards
FLOOD: 678 Deaths; 78 DataCards
Heavy Rain With Lightnings: 416 Deaths; 23 DataCards
Highest Housing Damages:
DROUGHT: 30686 Houses; 9 DataCards
FLOOD: 22947 Houses; 78 DataCards
Heavy Rain With Lightnings: 6548 Houses; 23 DataCards


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