• Image UNDRR
  • DesInventar Sendai
  • Image unavailable
Region: Myanmar - [mmr]          Profile:

Select what profile you want:

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/ INSECTS10352796093888117
BUILDING COLLAPSE83232014039859600610625002
CYCLONE941715061079263028651553162091408502341234331200082198896255014430751233642266088
DESTRUCTION BY INSECTS2211353416067020150008
DROUGHT413755
EARTHQUAKE92248574338815451684585522891100010960312440165101021207
EPIDEMIC/PANDEMIC1946622424025900121722450
FIRE19318123116826613188793087237717067071895162401400011688913996085001064
FLASH FLOOD3221661268648660284229215196805731916661632850701820065111258495949
FLOOD424342996111097094905597737543485892131235553736107564394455923312052296151662080350442831016
FOREST FIRE68480185662394304200
HAILSTONE61105563869114425000
HEAT WAVE11
INDUSTRIAL FIRE293661501475564000
LANDSLIDE9793701017128117143381787531912415000003152656374725172
LAND SUBSIDENCE1132207334763333317000390
OTHER20871571950147394209638742732090315567744975163050
OTHER_AC69317658990
RAT616248738
RIVERBANK EROSION353525410234868624681160749198511246150883042450052284248946
RIVER FLOOD20168184828122619880303433061260947312997936320056921022760300720540
STORM339617421216012052371419673875011129019122460008553428689224751651237625
THUNDER LIGHTING STROKE1335134922516411578131344800488180001134
TORNADO157105260516880235600011315808003
URBAN FIRE741351268846648306600051453000
WIND703924624341448277381346654255958426083381500008503327839


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 Region0161711692901771079164084714950593106850370757950386178719546327256894046374492520814836338233692425011
Bago Region025102664161113281211411586515478798208481957671153638000341137802551156
Chin State031818262434198261088565275817965453351508308004922599159216035600472164213
Kachin State041721551321537322137810956459996486312196141397514727420490516122337222
Kayah State056908423124502895552318491173426400001430919340248945040
Kayin State06955138765788106505808013502844171026334140003316886455161474
Magway Region075211342284108085636032863438513645074955924711128939600140673067215119416155967356762600397
Mandalay Region14457244137416598628763450640590677563621637717363548030014746203273483379861243
Mon State08138011212035925143654863221218737276228616000668296369520
Naypyitaw1515123752142611654495852346353560649188077
Rakhine State09220545729875431624822349115425260994096122206987544538389375409121424776821
Sagaing Region10400178316536481412997609421904868722138262026135111080017183279851572838300600000
Shan State11305566365971168844801248549281832817335109092002027158980212182
Tanintharyi Region12131641337311262217881699611873561472330281800010743698755192280
Yangon Region1335513595767301511849613132179165966185427842877920008197659869685051714


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
1952220000000
19561120000
19752640
198042952128136475222700000081
198121144832146230000000
1982219461338835200000
19831435266710880000
1984428380526413940309140000
19853925856152980000
19863352819876301050000
1987117827035040000
1988813665633947988311450000
19891575515438505957810000
199015124072613046176898000
199123317225471986160001020020000
199212485016774186050000
19931324215217984003296600002
19942120289842144660000
199519437310718128271300000
199691257200088820000
199720154112002513600006
199826183138243200735000
1999461387022253031521560000965881200
2000218551532064308708000
2001363223612674307455002687200
2002522213295526837456907000
2003271171873551127855712593808000292
200482243313581190124043493200129708733726
20057172318076602421341065796425344569911614324228
200655613158862543390738622198008037393605304225
200777231915591765233036130251868200018651626405614
2008940171529531079263027221602342091408525153393223156680004420882018255114430751233642266095
200995952136421272906245153877888106217485401171
2010163619812690986185163703330083776864670256733805054
201115816131424729545337986037692811599156585675265287922879
201288084952775837882172727239138608276494768145801996281124520739637
2013424836830491573238798748122736111213203224399521186991061785000934047426
2014261732118710822976238556102139588561915354720868921008515891613
201554406752233012425088152832440812871568839269380432216359344981993736951601841655303280068
201650041122223654314098567089431960311396022955140789596006760217381014518821359285100253
20177003127267025499864179837104886212462462618243000023371349655133156366892217133013
2018599577765116225446880717355729786254221245564688133435
201943075267151385934126741013476540973700004976584318
202013521141582741579094161215975
Myanmar

Summary:
DataCards: 43260
Period:1952 - 2020

Highest Mortality:
CYCLONE: 171506 Deaths; 94 DataCards
OTHER: 1571 Deaths; 2087 DataCards
THUNDER LIGHTING STROKE: 1349 Deaths; 1335 DataCards
Highest Housing Damages:
FLASH FLOOD: 728932 Houses; 322 DataCards
FLOOD: 600268 Houses; 4243 DataCards
CYCLONE: 458181 Houses; 94 DataCards


UNDRR site
e-mail us
 DesInventar Open Source Server