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Region: Tanzania - [tza]          Profile:

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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
ACCIDENT651128128268760000003
AFLATOXIN344748
ANIMAL DISEASES1101086271975000079
CONFLICT1272354
CYCLONE10367216644705514982859919551137
DROUGHT49122256027287537650502069100000314126025
EARTHQUAKE1638579292424884147759121813254285055500343753513247
EPIDEMIC1101003182362235261128387
EXPLOSION56818112122235112647375741496884550
FIRE140233916463711220112221183761920498015759694981563322751
FLOOD419876107321406107060122414241587965993864336549246641942467025735385912101252
FOREST FIRE16491254605383500007180
fungal toxins21188881066320300000
HAILSTORM10319726799177270531219800041022
HEAVY RAINFALL & STRONG WINDS23665471203710023766919476334702304113168626
HOUSE FIRE ACCIDENT3131125428825001
HUNGER/FAMINE1225642225642
INSECT INFESTATION4327437349675000050
LANDSLIDE2272258638488489291660
Lightning19341547801471003268859440000394
MARINE ACCIDENT591761488160711641281178
MINE ACCIDENT652951183
MURDER34331
OTHER14225392740945617000000
PEST INFESTATION4140022002092814550263357344002701
PLANT DISEASE116616625173804526250000761
RAINS149691454138278112817811916915512866246929239273848911126326
RATE IN FIELD22351235112482780000629
RICE YELLOW MOTTLE VIRUS1188057825782817918360000372
STORM2546343500350067
Strong winds8842443520671318585516692713181121287576168288
STRUCTURAL COLLAPSE30462616525317071443346647761304017451
SURGE21785049175175210
THUNDERSTORM21134778000000
TRAIN ACCIDENT1283466
VERMIN INFESTATION9785818516970000000130965
VOLCANO252525
WILD ANIMALS114463510978851886116439817741745112970
WINDSTORM16630773682629150000005156


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
Arusha023611613503741047350873230843883555646000121006
Dar-es-salaam07888813822125356861196758283631105826043142940158004211
Dodoma0137360466147762803497216642955543256680150011426995320
Geita251742148213913138208237359231
Iringa116554252328163219164140191215810641716408745442115967369
Kagera184668558623342604716355314791965540011214547755438117672102
Kaskazini Pemba54371835
Kaskazini Unguja517225812013854443139152310269456117000000
Katavi231810632342802130545799051569749358149047
Kigoma1615132607051210054335727784792875535004639
Kilimanjaro03388533499482431910167745821213461796050020338152195
Kusini Pemba55155
Kusini Unguja5264573114807151
Lindi083826013266421558718281057799221287203370107111500245569
Manyara2117209310315789257557521341994566110400213823000
Mara204416203949641806311375211631099815186032448518612790133
Mbeya127543425277428651629971542887765178118840668548202412466827
Mjini Magharibi531442632021512340191
Morogoro054417060650632370818058961981629870395751790915691221522972113
Mtwara099188183047834053092456243005953063102658099661346446
Mwanza19291116562002631064618003512620220900089
Njombe2284222537841561638936306208915325085045138121
Pwani0644143124120443862415792313062160047417462031367626
Rukwa15644310371534121569124620712360671609615737195487180
Ruvuma102231032541607613629514483000201554
Shinyanga174571239593500350067
Simiyu242036174265613420484012964423629287032380262
Singida13449914125915968570576224267031351531590852061860221
Songwe56514543394222522253759508653509988242
Tabora148515271786328810157698649863519031762938612371759205
Tanga04381252014621875613845127646395700016227689315


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
200076123140320124387160657816521634251761
200173920111818477386165668358563850028255
2002223374719693660821835196167431185
200323511347662441970000001392137
20041013192972551431204231112745300000102497
2005142197132185382542240394019235027064871
2006353129112855742266761119764431169
20071939101100114256262330258314054918576875010958
200835813033527133652549557371200001561
2009239733702175780346448018238646451215921627886
201024851152206367657535411145604376219219711369
2011523303731370108236583176616709406442107417028482080104570146
20123122120221254423759463931942550002400465967541641011
201328522910842455509305112272461949223416911852
201447382118165658421849653163330440174174755468101527802
2015639411211346101151670114760358712114158913128550509972333686329
201611237601440428890475460359482177175981891979299621917160409
201772361837428463426432339511394201329214883630425111323
20181244374884341140245747441161629893586821449104007314167086557
201917435530024956209071356881261488472111138140169405164518882697786441
202019115936971208631282182174199657566128054622604711664721319334927452
2021311214184642004054526967261895456443823463062551841
Tanzania

Summary:
DataCards: 1262
Period:1872 - 2021

Highest Mortality:
MARINE ACCIDENT: 1761 Deaths; 59 DataCards
EPIDEMIC: 1003 Deaths; 110 DataCards
FLOOD: 876 Deaths; 419 DataCards
Highest Housing Damages:
FLOOD: 128466 Houses; 419 DataCards
EARTHQUAKE: 27808 Houses; 16 DataCards
EXPLOSION: 11212 Houses; 5 DataCards


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