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Region: Myanmar - [mmr]          Profile:

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Myanmar        

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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/ INSECTS634138023564694459
BUILDING COLLAPSE6313207019929800460625002
CYCLONE50857535396315146477659104570425131811722940004490694812757215375116821133044
DESTRUCTION BY INSECTS24206000008
DOWNBURST11
DROUGHT11
EARTHQUAKE53154639159858467427614455500548510122093551604
EPIDEMIC/PANDEMIC1023511682014778117611225
FIRE145939781337661228548885390256672841883147401400010646753727285000960
FLASH FLOOD1719363598034900311639615142738692556081704735559003492729244311
FLOOD2117237367571792615942202961929550702592772935399845362846869785014876333623175221415509
FOREST FIRE38242642986206909600
HEAT WAVE11
INDUSTRIAL FIRE1823375948834000
LANDSLIDE54322237365578519761039521566750000172236309341796
LAND SUBSIDENCE62241363411673007000247
OTHER90894438012651443238812427531114011436140000
RAT416617
RIVERBANK EROSION1766935843496622519600812332336133091521173274447124423
RIVER FLOOD10534924146195845863821653063669665651455016002961511380150364696
STORM1843911151313322804423153204845564528109920004494581250122391024118813
THUNDER LIGHTING STROKE6936991117331412880029094000170
TORNADO149105232516712235600011315808003
URBAN FIRE3869634425024156600026096500
WIND28941231062039213421713336813134261607373900003169043820


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 Region013369846971125396120858625414115404301906352269578814627399343284829519130426047420722116846216931
Bago Region02289136280186651096152067553397301175710657459316800019626570240601
Chin State03957139194103825288291694645952680694600248832970968521300245143108
Kachin State041092330188526051093323595458903547617069875736441701001661168611
Kayah State0537255136256636881614182491320000825115280126022522
Kayin State0659296455650620973251179633287361190780002265542875100237
Magway Region0729882332099535761803112977667558922561413564799800720345527166188127984178391300208
Mandalay Region143016271206164225345489245711522479490161091069376601939451485613924190245621
Mon State08863604534811863666381352475214884000518868724512
Naypyitaw1587733221021549514369308943055450872357
Rakhine State09102722787726752141303966961819416472128529987233121150295640812384686
Sagaing Region102608523108233113619163947346128667211611222306818884009491857885298444150300000
Shan State111954450373796402458690375202527955554460012914122742691
Tanintharyi Region12753225257110748114038910254645711152144000972062805096140
Yangon Region132670185362621135272528163439125547131912141474720006811377484385026410


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
2010106515710670146055162607220383888463200055231902528
20111410333138471731018267602095395810153092853033021172445
20126494648147061938593835239694391411794288612097058562515619819
2013260123117861028924364467913070056857571465976682719274685000517023713
201422742021697986863375433627982942810728288807857402720130887
20153113385135156600246085916597961623184419634906290408187463731857393330302522164151641969
2016303073914936173221152375094102221521071238370582798005619401380090941088314352625
20174144747427141154649853325898046671333516204000012588896460718318349110966509
20183733585476131277637950169585628254362880527075
2019188383843456514746142106311550
Myanmar

Tóm tắt:
Các thẻ dữ liệu: 26029
Thời gian:1952 - 2019

Tỷ lệ tử vong cao nhất:
CYCLONE: 85753 Người chết; 50 Các thẻ dữ liệu
FIRE: 978 Người chết; 14593 Các thẻ dữ liệu
OTHER: 944 Người chết; 908 Các thẻ dữ liệu
Thiệt hại lớn nhất về nhà ở:
FLASH FLOOD: 384983 Nhà ở; 171 Các thẻ dữ liệu
FLOOD: 318773 Nhà ở; 2117 Các thẻ dữ liệu
CYCLONE: 229123 Nhà ở; 50 Các thẻ dữ liệu


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