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Orissa (India)

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    PDF version


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
Victims Affected Relocated Evacuated
ACCIDENT21216250005000000
BOAT CAPSIZE1609132943500074000
COASTLINE150000015000801300
CYCLONE525210919431757060744978172751501393109800
DROUGHT232221722300020348675600
EARTHQUAKE600031101200
ELECTRIC STORM1168332210131413217167038300
EPIDEMIC1819199637232300016318715800
FIRE498314993712049616834446483107970400
FLOOD1176319513818655952214241037649956319616363420100
FROST62500000000
GALE1607723190212019713312024619200
HAILSTORM134592957011161957805796500
HEAT WAVE164673285000036300
LANDSLIDE391391450000000
LEAK14190000000
OTHER1338120000000
POLLUTION15000001000000
RAINS2381907312925224232903764081012205
SNOWSTORM2600000000
STORM1641535334262312681101765000
STRONG WIND6115001700000


Spatial Distribution       get it as Excel
Geography Code DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Victims Affected Relocated Evacuated
Orissa001IND01911014542778589136234671630136284798697805984475717012305


Temporal Behaviour       get it as Excel
Year DataCards Deaths Injured Missing Houses
Destroyed
Houses
Damaged
Victims Affected Relocated Evacuated
19702933307502037157343747727800
197127856818912170121841082762800
1972270131412729336181509076600
197322458913729695090275154571000
19743244101723838744999117435800
197520322742647971830098812900
197624610426001263711703088900
1977212139235106011797023804900
19781945993408048625581012980720100
19792352084685020064140235212200
198035347130915309352093188102775800
19812913602269199184396195017599400
198225361015683154063184279403205447011000
1983216269563312167334226014922300
19842644532269026918983530313002600
198542398851863536519543060163995800
1986278589701427104497198520246344300
1987220260614754014332115400610417000
1988291179017049823043340050031680600
198931611114144024043151475319006114303200
199026512113429163291415599095659200
19912921657102014475491030470570500
19923121224332742081610651293233874000
1993329159426179774866759755800
199427384888672711775135800169699700
199527063436581213746261460270870100
1996304118388130129538165366012979700
1997293142730501218706692720316675001205
199826533858433231103503065018600
199944416039272175681777203379944401277918600
2000361464148714712119801539600
20014049572017255472264900893552400
2002425802226416253673205728300
2003342231831046866288671033330821852900
200429352890123551892048489600
20053385001972213314537204640328155500
2006336579429622122931887370723996800
200784790011328633550463349600
Orissa (India)
SOURCES OF INFORMATION MEDIA
The database was constructed by systematically reviewing data in the Prajatantra and Samaj newspapers. Information for 2002 to 2007 was gathered from official OSDMA.
SYNOPSIS
The most common type of event to be found in the inventory are fires (48%), epidemics (17%) and flooding and electrical storms (18%). Cyclones account for 54% of deaths in the inventory, and epidemics for a further 31%. In addition, cyclones account for 35% of destroyed housing and flooding for a further 15%.
Most of the reports are concentrated in the Eastern districts.
Summary:
DataCards: 11014
Period: 1970-2007
Highest Mortality:
CYCLONE: 21091 Deaths; 525 DataCards
EPIDEMIC: 19963 Deaths; 1819 DataCards
ELECTRIC STORM: 3324 Deaths; 1170 DataCards
Highest Housing Damages:
CYCLONE: 2472493 Houses; 525 DataCards
FLOOD: 1259073 Houses; 1177 DataCards
FIRE: 499612 Houses; 4984 DataCards



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