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Region: Uruguay - [ury]          Profile:

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Disaster type
Territorio nacional
Uruguay        

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
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
Accidente de transporte301642341400
BIOLOGICAL9127012400000000161417710
COASTLINE6182525
DROUGHT118589630002241500280
ELECTRICSTORM54
EPIDEMIC8266301087110416
EXPLOSION14046275187046102100018021
FIRE123227740463431139275306107820737022502060792573585200
FLOOD68639138535478811010157851241728122030000116174292384618020
FORESTFIRE130
FROST35
HAILSTORM22748635
HEATWAVE17100
Incendio de campo336169414
Incendio de interfase232197213731
Incendios forestales8312415418128605200
Incendio urbano30584661569984128134750214000445116200
Inundación gradual12861400391074191267026512130000111700122
Inundación repentina4822131292651957001900000600
LEAK25171211200
Ola de frío371711501200000010
OTHER611076425130251007110
POLLUTION23057335355492718572600051200000111208144500
Siniestros de tránsito86295990131000000400
STORM116114831511152323611134751090722390757849900111651953032937521
STRONGWIND52143116017500
STRUCTURE1132219362112638
TORNADO2715175163027640


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
UruguayURY48771291735328291081697640168260209128608494155486723916421039515711924664484


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
1959545000
19681112
1970111
19731650
19821
198360124637801268615000502680235236
198427577034581864526468817516000
198524912523915118000000120
1986346821262316000785760800001762000
1987271961823261060100000030100000
19881041921227153368115020027000000268
1989984434522735351032106000005760
1990141483422683574817255
1991157225883111418610926800000136941000
19923475622364926045047107251125770211781400027220
1993148292961131438150300060600001606800
199449714932621079051352170330511231811322044055
1995110215726402714610000014834
199611327115916584003292
1997731641531198709260000120000028401410600
1998279901614397195128738627450002412132040938802
19991599727423262961740499850070158086001500000
20003315910696324904324819443931585383015741
2001116176122157114660158184050000264066
200212097218320330972334225000500950434600000
2003578261562736472713
2004105152221114951080527000003552
20051297343312681144450059134228700050000010524
20069913106227424034115097
2007199185251576451618513596115504501869
2008258331281766261520720003353209343
20092456463293926142338711153681
2010135222111341582608066380000230231000
201123454226946062285251336976780633002000
20121884474147176848492401
2013174302537832076063190000000976910
20148031115572658
Uruguay

Summary:
DataCards: 4877
Period:1959 - 2014

Highest Mortality:
Siniestros de tránsito: 295 Deaths; 86 DataCards
FIRE: 277 Deaths; 1232 DataCards
Accidente de transporte: 164 Deaths; 30 DataCards
Highest Housing Damages:
FLOOD: 48416 Houses; 686 DataCards
STORM: 25134 Houses; 1161 DataCards
Inundación gradual: 4310 Houses; 128 DataCards


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