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Region: Ethiopia - [eth]          Profile:

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Ethiopia        

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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
Building slide13
CONFLICT318161077021012725181187757866594489112759
DROUGHT3983392010766427216372655272553647
EARTHQUAKE65712195441369
FIRE792854537366816137671752591955601138
FLOOD1418327276821629496103599671359513242953581537113357974
FOREST FIRE314905750660223010008411
FROST7756010372
HAILSTORM249631113471428762339121844453523
HEAT WAVE28
Land slide18140734155671196871133209137151143
OTHER22378220100043079473239
PLAGUE7467196223353633555305852293962
RAIN3932778952870122
SNOWSTORM1763
STORM53900115150
THUNDERSTORM3247171310217
WINDSTORM223199347360013


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
Addis Ababa14784129552135915017601824780
Afar02878141812733596476917159114491641194
Amhara03351436538470310819729195149332242953581135736229514
Benishangul Gumz0621912253224491726551500567224441
Dire Dawa15218100620275170610548706716175833585396
Gambella12331134687321054593419099613401711113510448
Harari137691782532026321
Oromiya042893395815223818555947236612278971623276
SNNPR0737171148282850020041141161254258031243456322035
Somali058204937389164213162810733113745933302746091
Tigray01112525825713451158004552861253298534851
16


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
18992346218
195711000
195813
1961115000
19771900
197811230180
19791
19853385000
1986350851676984
1988231514
1989911321121095
199038000002
199111225051449568688450
1992173921105391211130524444620
1993101101422019432984122610611917720
199434840874411550047016093915543605883
19953681856385641085041114375375338214
19963111772715202638476591803375830825
19972874417263733457027990958210339019
1998223133442626184414364487758521714
199942127158532821615970839778679
200049315246197672619671309344373308820
2001553966563654782412489514453621096
200267214616315678800993881121731544698
20037207303244138140864991606564668226936
20046843351211953162675685448359848518974
20059255486293242364844607335618208176162640
20061255184030168372397715302394245898092607622
200717241816623265294132422028723650054447
2008274615124158131779816169112184239868
2009408611425108113612986816
2010757623752468510193851029782429535811142574419
20115172927174298
201245724633688672189664
20132418241322415186293298
20141551231505218
201524720487412221585
20163432914918592334
20177416749918423427
201849174994966101651285
2019141328202399505156121654276
Ethiopia

Summary:
DataCards: 14576
Period:1899 - 2019

Highest Mortality:
DROUGHT: 3920 Deaths; 3983 DataCards
FLOOD: 3272 Deaths; 1418 DataCards
CONFLICT: 1610 Deaths; 318 DataCards
Highest Housing Damages:
CONFLICT: 30843 Houses; 318 DataCards
FLOOD: 22125 Houses; 1418 DataCards
FIRE: 5281 Houses; 792 DataCards


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