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Region: Somalia - [som]          Profile:

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Disaster type
Regions
Somalia        

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
ACCIDENT9011230341127125115246
Cholera1937672354602
CYCLONE1313315012362701272047270000
DROUGHT12620592320352082341386370064879503480576619001674823083352
EPIDEMIC221157743485
EXPLOSION36243675225236105687560418951631371484685911176919354025
FIRE2781844061450031320101342922071122400006000000
FLASH FLOOD108182138652752233052679114730510517513876048000000420000005000416600501
FLOOD1508492743721120391796184556173112361171100671000020282138195000NaN
HAILSTORM1400
OTHER1
RAINS1321245045047
STORM13212
TSUNAMI42255010000


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
AWDAL1124181941425631675583
BAKOOL2571365376086540319311243542618028001840890200
BANADIR2242839191975622401578481052276352057369500685911177519354014
BARI16593692832114437953812665259196338410010000801000070450
BAY2410410917519855435923387566802835325734503601301972400000
GALGUDUUD193159552281154732500117501508662
GEDO262972103944238651513559273481826
HIIRAAN2083611313896521507502317199314133790357091580000250002
LOWER JUBA2826214612144032434953313850180600
LOWER SHABELLE23745528040656411243887776301340135991936625097250590000
MIDDLE JUBA2717
MIDDLE SHABELLE2195664139114651107762241212263711996712759220272138660019NaN
MUDUG1857781321233229433583223186992329292100000020000000500002061
NUGAAL174116388214757806052611405139200000
SANAAG15231428149801370267756
SOOL14172028510315563070728413070000006000000585
TOGDHEER13341512924832135101221419
WOQOOYI GALBEED121409519553048113138381231762000000
135110784002820002400100000008000000


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
1991336802
199210205700203400822837001174000451476584501160003080000
199413010034406
1995120
1997217192450
19984365
199914
2002452
200442255010000
2005629703915
200673926154281600324245
200842270124
20094685650
20101542137103851112105018817800015015
20111114016620949300
2012112644263507201005050505000
20133726739618463388139005580133208270000
20142913340826390584200852810485523
201517986543837698516233139300
20168278494027159781858644904200NaN
2017531689112513822942121094
2018834721755121
201940278517266378342
2020298072422435095115000127900500031
2021681501242287137683836773518511
2022229777490851408377963486274721714503440981965885993880193540230822
2023334506227763407247120286203315162912033016233517240000392721382660000
202421965140636921735178139293394044001902018188000179180000005000269902
202542183226725295240565555496121000010000180
Somalia

Summary:
DataCards: 1350
Period:1991 - 2025

Highest Mortality:
DROUGHT: 205923 Deaths; 126 DataCards
EXPLOSION: 4367 Deaths; 362 DataCards
FLOOD: 849 Deaths; 150 DataCards
Highest Housing Damages:
FLOOD: 102999 Houses; 150 DataCards
FLASH FLOOD: 26057 Houses; 108 DataCards
FIRE: 6323 Houses; 278 DataCards


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