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Region: Myanmar - [mmr]          Profile:

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Disaster type
State and Region
Myanmar        

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
ANIMALS/ INSECTS534138024694459
BUILDING COLLAPSE6313207019929800460625002
CYCLONE50857535396315146477659104570425131811722940004490694812757215375116821133044
DESTRUCTION BY INSECTS24206000008
DOWNBURST11
DROUGHT11
EARTHQUAKE53154639159858467427614455500548510122093551604
EPIDEMIC/PANDEMIC1033511682016392117611225
FIRE143179471309661221908875190256630981882147401400010635586692285000960
FLASH FLOOD1719363598034900311639615142738692556081704735559003492729244311
FLOOD2011195377570842610982202961663454641342772935399845362844747385014876333623175221415509
FOREST FIRE38242642986206909600
HEAT WAVE11
INDUSTRIAL FIRE1823375948834000
LANDSLIDE54321634364278119761041522866750000167443437341796
LAND SUBSIDENCE59210362381673007000247
OTHER662800238125114322388119455487423136140000
RAT2369
RIVERBANK EROSION147983582549542251859291043832663309152800128447124423
RIVER FLOOD10534924146195845863821653063669665651455016002961511380150364696
STORM1842911151313322803223153204794564528109920004487741250122391024118813
THUNDER LIGHTING STROKE63464183619147080028494000170
TORNADO13774275516712235600011407808003
URBAN FIRE3869634425024156600026096500
WIND2715119941924413131613336812961771645373900003137173490


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
Ayeyarwady Region01318084678109539612082572534191540430259808811027399343284796185980426047420722116846216931
Bago Region0227383417417824108138206755989610657359316800019613700440601
Chin State039291361641040152612916911780694600248438449968521300245143108
Kachin State0410212681205257610917235952240357069875736440220101661168611
Kayah State0536354136256536781651320000825115280126022522
Kayin State0656176455640613673252187361190780002262783875100237
Magway Region07288422019895352118025129776624895564799800720111088166188127984178391300208
Mandalay Region142968264196164218645464245711469060801069376601938410735613924190245621
Mon State0879146433456181706638114884000518664599512
Naypyitaw1586619211011549014369301450752357
Rakhine State0992519560726538141276966965862128529987233108593295640812384686
Sagaing Region10250550392233105919138947346111519156306818884009472634385298444150300000
Shan State111828416324796512429490375586554460012852952892691
Tanintharyi Region12688206241110675110838915581152144000969739805096140
Yangon Region13262218466242113438252456343963012121474720006808510984385026410


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
1952110000000
19561120000
19751320
198032952128133237617700000040
198121144832146230000000
1982219461338835200000
19831435266710880000
1984428380526413940309140000
19853925856152980000
19863352819876301050000
1987117827035040000
1988813665633947988311450000
19891175512538505957810000
199010122481312979176804000
199116317149471413080001019670000
19929465616774186050000
19931324215217984003296600002
19941419089842144660000
199514437306918128271300000
199661227200088820000
19971214716002507300003
199820178238058169979000
1999291318216972376010780000859890600
200015848791737237589000
2001293223001606261454981832100
2002462213172819681408645000
2003221154061241893928056550449000152
2004682333128283198091746600113396753713
20055001717265831442280582898212672470858281812114
20065331314759192228409431199004036959311302113
2007739319155650390324576512594180001770794340567
200887685777535396315192381522104570427350519661158334000428897627012767215375116821133048
20098104712741427260719341229094410572411070591
2010106615710670146055162768620383888463200055231902528
20111409333138471731018267602074665810153092853033021172445
20126494648147061938593835239694391411794288612097058562515619819
2013260123117861028924364467913070056857571465976682719274685000517023713
201422742021697986863375433627982942810728288807857402720130887
20153113385135156600246085916597961623184419634906290408187463731857393330302522164151641969
2016303073914936173221152375094102221521071238370582798005619401380090941088314352625
20174147747427141464649853325899556671333516204000012588896460718318349110966509
201827583373001311164350061349919178872402759225
Myanmar

Summary:
DataCards: 24869
Period:1952 - 2018

Highest Mortality:
CYCLONE: 85753 Deaths; 50 DataCards
FIRE: 947 Deaths; 14317 DataCards
OTHER: 800 Deaths; 662 DataCards
Highest Housing Damages:
FLASH FLOOD: 384983 Houses; 171 DataCards
FLOOD: 318182 Houses; 2011 DataCards
CYCLONE: 229123 Houses; 50 DataCards


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