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SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
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Region:
United Republic of Tanzania
- [tza]
Profile:
Select what profile you want:
United Republic of Tanzania
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.
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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
ACCIDENT
1
1
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
11810
605243
6298
72753500
11
1
276408
3383
FLOOD
25
69
365
711
6568
1600
26
5
7580
3101
Insect Infestation
3
321000
3496750000
Landslide
5
57
13
60
Lightning
2
7
27
4
4
Marine accident
4
1093
41
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
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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
Arusha
02
23
83
13
50
374
1038618
5
1006
Dar-es-salaam
07
14
686
17
159
12129
25306
6000
10
5
Dodoma
01
12
303
466
399
1244
17803
396000000
2
8328
Geita
25
9
34
51
139
1313
761
6
3592
31
Iringa
11
5
12
22
2500
1
4500
Kagera
18
5
22
578
2102
24056
1
35
Kaskazini Pemba
54
3
7
183
5
Kaskazini Unguja
51
72
258
120
1385
44
43
1391
523
1026
9456
117000000
Katavi
23
6
10
54
84
181
865
410
47
Kigoma
16
7
129
20
32
96906
10553500
Kilimanjaro
03
9
67
242
634
251630
3
291
60
Kusini Pemba
55
1
5
5
Kusini Unguja
52
64
57
3
1
14
807
15
1
Lindi
08
23
197
250
174
1664294
21287203370
2
133710
Manyara
21
6
187
310
3
200
1000
502
3000
Mara
20
5
164569
Mbeya
12
12
8
5
32
468
143632
1680
Mjini Magharibi
53
14
426
320
215
123
40
191
Morogoro
05
13
58
31
6
409
8053
113122
6298
2
11834
63
Mtwara
09
9
176
142172
30673
Mwanza
19
8
1104
43
86
9371
4
Njombe
22
2
3
15000
Pwani
06
12
5
41
206250
1
2550
Rukwa
15
4
1
4
427
4
Ruvuma
10
3
27
28
1554
Shinyanga
17
4
57
12
3959
3500
3500
67
Simiyu
24
1
2
5
690
636
7956
Singida
13
5
10
608
Tabora
14
6
1
7
362
289
6
3
6
23
Tanga
04
27
87
12
472
1364
600811
63957000
11
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
Damages in roads Mts
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
20
218
198
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
34
307
408
1141
9304
14687
4
6298
32
5
16179
6453
2019
1
5
25
99
495
52
31
United Republic of Tanzania
Summary:
DataCards: 384
Period:
1872 - 2019
Highest Mortality:
Marine accident: 1093 Deaths; 4 DataCards
Epidemics: 817 Deaths; 5 DataCards
MARINE ACCIDENT: 656 Deaths; 53 DataCards
Highest Housing Damages:
Earthquake: 27609 Houses; 6 DataCards
Flood: 13259 Houses; 76 DataCards
Explosion: 11212 Houses; 3 DataCards
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