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Region: United Republic of Tanzania - [tza]          Profile:

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United Republic of Tanzania        

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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
ACCIDENT11
AFLATOXIN344748
CONFLICT1272354
CYCLONE93672166346514982859919551137
DROUGHT48122254982277085329431549800000314124871
EARTHQUAKE82457327692485614624212034056
EPIDEMIC10810001722325911118
EXPLOSION36118112129704
FIRE24232747867177717682312015844170003708
FLOOD2807218291574676732993150229494659932391452152127263352006212263562708556
FOREST FIRE16491254605383500007180
HAILSTORM31940663617332364
HEAVY RAINFALL & STRONG WINDS23665471203710023766919476334702304113168626
INSECT INFESTATION4327437349675000050
LANDSLIDE11652526671660
Lightning9191356083347780000002
MARINE ACCIDENT581758488160711591251178
MINE ACCIDENT55265853
OTHER1121240945617000000
PEST INFESTATION1918918
PLANT DISEASE116616625173804526250000761
RAINS25114230000531000000177
STORM2546343500350067
Strong winds2421621315026026239130110865379900020214
STRUCTURAL COLLAPSE139
THUNDERSTORM111
TRAIN ACCIDENT1283466
VERMIN INFESTATION9785818516970000000130965
VOLCANO1
WINDSTORM663063829150000002148


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
Arusha02291161350374104735087323084388355564600051006
Dar-es-salaam0742752340992203504058917263311020864698194441010195
Dodoma0130338466111754352648581553960000009328328
Geita251742148213913138208237359231
Iringa1118392215911330135721107274654948482730578291222690
Kagera18162257821022585714223612743811954500190066773
Kaskazini Pemba54371835
Kaskazini Unguja517225812013854443139152310269456117000000
Katavi23810608419792560141047
Kigoma161313260704861003833517535121705535002621
Kilimanjaro03298130482476431814966793821213461796050010325191600
Kusini Pemba55155
Kusini Unguja5264573114807151
Lindi083324566424024168726022966212872033701049137195
Manyara2116209310315789257557521341994566110400113823000
Mara201417386589171668486518806261132900000053269436
Mbeya122629232791180149614402616588603816001120122174391
Mjini Magharibi531442632021512340191
Morogoro0526169606167723189157935448136298122562820000021614463
Mtwara092277455994143269222930013306217448125042684
Mwanza19271116562002411018513852620220900079
Njombe2251010261500016
Pwani0639143120120213859265477313062160047417461531367626
Rukwa1521302987026570615666309055519900064804
Ruvuma108391274023746295144830001554
Shinyanga174571239593500350067
Simiyu241256906367956
Singida132587913359477605332142576298125000027606
Songwe56514543394222522253759508653509988242
Tabora141117362204346024596781179600031923
Tanga04351252014621875613845127646395700011227689315


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
187211
19131
19191
19291
1931248000
19341
19401
19411
19421
1943150000
19481
19492
1952134
1953240500
1961111393
1964445400
1967110000
1968252500
1970144000
1971125000
197262239008
19731251620
1974540102
1975290226
19763415547
19777500262923806000
19784511545100462
1979990457259500
19802124000
198131551788
19827741810374904500
1983418371746
19842
1985110118
19865267500
19872944500
1988618463030673
19899334275892
19902367000
199115410210513
199424312670001
1995190000
199614538000000
1997323843622600000
19982662000000
19991833110
2000559231403201242275993750001680
200163920718083912353217850028173
20022133747196906568183620000065
2003222134766201970000001392137
200481929725502312690000000102453
200512321028388850000026804871
20063227561342429772200011
20071839101100113655962314258313893018204875010958
200812812423653124559
200917943321757665833103812669010024666286
201016196137625329311111498164912955588
20113428337313709523213198165344406410613341853986625514147
2012212182012121125194945617000000
20131449242642133262126129864
2014152441812451960849331209730251738045262500003733
201516771210305782654559923500121161114830785821306115067
2016362656925512658122573612028019312618202858880466525
2017162785475145539376827813701211872
201859397433124093041989556706298325162326484
2019109325262227041984675597668748311105221481553153934651622229442
2020679239897518687787591015663632458479439915014814200711630
United Republic of Tanzania

Summary:
DataCards: 674
Period:1872 - 2020

Highest Mortality:
MARINE ACCIDENT: 1758 Deaths; 58 DataCards
EPIDEMIC: 1000 Deaths; 108 DataCards
FLOOD: 721 Deaths; 280 DataCards
Highest Housing Damages:
FLOOD: 92478 Houses; 280 DataCards
EARTHQUAKE: 27625 Houses; 8 DataCards
EXPLOSION: 11212 Houses; 3 DataCards


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