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UNISDR
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Region: United Republic of Tanzania - [tza]

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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
ACCIDENT	2		2
Bush Fire	16				491		254605					38350000			7180
Conflict	1	27	23		54
Cyclone	8	36			216	13	230					121079000		1		137
Drought	46	12					2219602					361000000			30673	4871
Earthquake	6	24	567		2769	24840	15542						4
EPIDEMIC	79	96					1481	462
Epidemics	5	817	10				217131	6000
Explosion	3	61	18			11212	9704
FIRE	7		2		58		1					100000000
Flood	76	304	76		1449	11555	605243		6298			72753500	11	1	276408	3383
Insect Infestation	3						321000					3496750000
Landslide	5	57	13													60
Marine accident	3	866		6			149
MARINE ACCIDENT	53	656	438	1601			1010	125		1178
Mine Accident	3	50	3	3			3
OTHER	11		2				12			40	9456	17000000
RAINS	1					42
Storm	2	54				634	3500		3500							67
Strong Winds	5		6		30	637	29					15000000	2		148
Structural Collapse	1	39
THUNDERSTORM	1	1						1
Train Accident	1	283	466
Urban Fire	8	126	35									682781370	7
Vermin Infestation	9	7					858185					16970000000			130965
Volcano	1
WINDSTORM	1					1

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.
Arusha	02	21	81	13				1038618					4
Dar-es-salaam	07	13	671	7			11729	25306
Dodoma	01	12	303	466		399	1244	17803				396000000	2			8328
Geita	25	4	11	3			236	26							113
Iringa	11	5	12	22				2500					1		4500
Kagera	18	5	22	578		2102	24056						1		35
Kaskazini Pemba	54	3	7					183
Kaskazini Unguja	51	72	258	120	1385	44	43	1391		1026	9456	117000000
Katavi	23	3	5	47		26	20								162
Kigoma	16	7	129	20			32	96906				10553500
Kilimanjaro	03	6	67			83	364	251630					3			60
Kusini Pemba	55	1	5
Kusini Unguja	52	64	57	3	1	14		807		1
Lindi	08	23	197			250	174	1664294				21287203370	2		133710
Manyara	21	4	179		3		200	1000							502
Mara	20	5						164569
Mbeya	12	12	8	5		32	468	143632							1680
Mjini Magharibi	53	15	426	321	215			123		191
Morogoro	05	13	58	31	6	409	8053	113122	6298				2		11834	63
Mtwara	09	9				176		142172							30673
Mwanza	19	7	877	2		86		9371					4
Njombe	22	2	3					15000
Pwani	06	11	5			41		206250						1
Rukwa	15	3						423
Ruvuma	10	3				27		28							1554
Shinyanga	17	3	47				634	3500	3500							67
Simiyu	24	1	2	5		690	636	7956
Singida	13	1
Tabora	14	4		6		216	150	6
Tanga	04	25	86	12		472	895	600811				63957000	5	1	260612

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
1872	1													1
1913	1
1919	1
1929	1
1931	2						48000
1934	1
1940	1
1941	1
1942	1
1943	1						50000
1948	1
1949	2
1952	1	34
1953	2						40500
1961	1						11393
1964	4	4					5400
1967	1						10000
1968	2						52500
1970	1						44000
1971	1						25000
1972	6	22					39008
1973	1						251620
1974	5						40102
1975	2				90		226
1976	3				41		5547
1977	7	500			262		92380	6000
1978	4	51			154		5100	462
1979	9						90457								259500
1980	2	12					4000
1981	3				155		1788
1982	7	74	18				1037490								4500
1983	4	183			71		746
1984	2
1985	1	10					118
1986	5						267500
1987	2	94	4				500
1988	6						184630								30673
1989	9	33	4				275892
1990	2						367000
1991	1	54	10				210513
1994	2	43										1267000	1
1995	1											90000
1996	1						45					38000000
1997	3	23			8		436					22600000
1998	2	66										2000000
1999	1	833					110
2000	5	59	23		140	320	124227					599375000			1680
2001	6	39	20		7	180	83912					3532178500			28173
2002	21	337	471	9	690	656	8183					6200000			65
2003	22	2				13	476620					197000000			1392	137
2004	7					97	255023					12690000000			101400
2005	12						321028					3888500000			2680	4871
2006	30	2					546					97722000
2007	8	32	3	1			11	35		3
2008	11	81	24					31		24
2009	15	94	33			15500	35371	23		12			1			60
2010	12	187	121				1	11		1
2011	21	243	58	1370	32	2412	12482	26		954		100000000			2732
2012	21	218	199	212		1	125			194	9456	17000000
2013	6	49	24		26	200	1001								502
2014	5	18	4	18		127	19			30
2015	4	63				634	3500		3500							67
2016	10	20	560		2387	24858	5862						4		1554
2017	16	27	85		475	1455	3937					682781370	12	1	1872
2018	7	9			529	2481	13578		6298				6		8652	3383

United Republic of Tanzania

Summary:
DataCards: 357
Period:1872 - 2018

Highest Mortality:
Marine accident: 866 Deaths; 3 DataCards
Epidemics: 817 Deaths; 5 DataCards
MARINE ACCIDENT: 656 Deaths; 53 DataCards
Highest Housing Damages:
Earthquake: 27609 Houses; 6 DataCards
Flood: 13004 Houses; 76 DataCards
Explosion: 11212 Houses; 3 DataCards