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

Select what profile you want:

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
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
ANIMALS/ INSECTS534138024694459
BUILDING COLLAPSE63137019929800460625002
CYCLONE50857535396315146477659104570411722940004490694812757215375116821133044
DESTRUCTION BY INSECTS26000008
DOWNBURST11
DROUGHT11
EARTHQUAKE5315463915985427614455500548510122093551604
EPIDEMIC/PANDEMIC10235116820113111225
FIRE140959331271661215928872190251881147401400010599507852285000960
FLASH FLOOD17193635980349003116396138692556081704735559003492729244311
FLOOD183016733653899259734220296545732772935399845362839408715014876333623175221415509
FOREST FIRE3824264206909600
HEAT WAVE11
INDUSTRIAL FIRE18233948834000
LANDSLIDE47818518350269019768866750000167138437341796
LAND SUBSIDENCE59210361673007000247
OTHER5007321575431317238816141314400000
RAT2
RIVERBANK EROSION115471577348202251714132663309152713928447124423
RIVER FLOOD1053492414619584586383063669665651455016002961511380150364696
STORM1838911151313242783623153564528109920004487741250122391024118813
THUNDER LIGHTING STROKE557568636191480028294000170
TORNADO6748148516235600011042108003
URBAN FIRE3869634424156600026096500
WIND1369822712976983881333681515373900001693067790


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
Ayeyarwady Region0126088464297539612040792401771540430237638811027399343284729519030426047420722116846216931
Bago Region0224143164716586102030206755774110657359316800019286305640601
Chin State038841291241033452092916910380694600248084179968521300245143108
Kachin State049432197552418107202359553357069875736425588411661168611
Kayah State053365012625562748161320000801706490126022522
Kayin State065167344563059347325287361190780002235139375100237
Magway Region07253220918385096117503029776618462564799800718493999966188127984178391300208
Mandalay Region142822250188164204444344245711458160801069376601938410735613924190245621
Mon State0875840423446779886638114884000501035579512
Naypyitaw157761819926429914369125447868857
Rakhine State0979018557725455139904966965472128529987233089086295640812384686
Sagaing Region10224648281233082218730547346110904156306818884009301387155298444150300000
Shan State111653374272195172321090375561554460012640905932691
Tanintharyi Region1264320124011061410823891801152144000968878405096140
Yangon Region13255818285792013209244346343957812121474720006804822824385026410


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
1952110000000
19561120000
19751320
1980329523237617700000040
1981211448230000000
19822194635200000
1983143510880000
19844283805940309140000
1985392552980000
198633528301050000
1987117835040000
19888136656339311450000
198911755125957810000
1990101224813176804000
1991163171493080001019670000
199294656186050000
199313242154003296600002
1994141908144660000
1995144373069271300000
19966122788820000
19971214716002507300003
19982017823169979000
19992913182169710780000859890600
20001584879237589000
20012932230016064981832100
20024622131728408645000
200322115406123928056550449000152
200468233312828311746600113396753713
200550017172658314422898212672470858281812114
200653313147591922431199004036959311302113
20077393191556503906512594180001770794340567
200887685777535396315192381522104570419661158334000428897627012767215375116821133048
200981047127414272607229094410572411070591
20101066157106701460551620383888463200055231902528
20111409333138471731018267605810153092853033021172445
201264946481470619385239694391411794288612097058562515619819
2013260123117861028924364467956857571465976682719274685000517023713
2014227420216979868633754332942810728288807857402720130887
20153113385135156600246085916597964419634906290408187463731857393330302522164151641969
201630307391493617322115237509421071238370582798005619401380090941088314352625
20174141747427141374649853326672733516204000012588896460718318349110966509
201837485725888212098386718425
Myanmar

Summary:
DataCards: 22479
Period:1952 - 2018

Highest Mortality:
CYCLONE: 85753 Deaths; 50 DataCards
FIRE: 933 Deaths; 14095 DataCards
OTHER: 732 Deaths; 500 DataCards
Highest Housing Damages:
FLASH FLOOD: 384983 Houses; 171 DataCards
FLOOD: 313633 Houses; 1830 DataCards
CYCLONE: 229123 Houses; 50 DataCards


ISDR site
e-mail us
DesInventar Open Source Server