UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
HOME
Analysis
Administration
Download
About
Get bookmark
English
Español
Português
Français
Russian
Chinese
Arabic
Albanian
Bahasa
Farsi
Lao
Thai
Mongolian
Serbian
BHS
Montenegrin
Vietnamese
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.
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
ACCIDENT
1
1
AFLATOXIN
3
4
47
48
CONFLICT
1
27
23
54
CYCLONE
9
36
7
216
63
465
1498
285991955
1
137
DROUGHT
48
12
2254982
27708
532943
1549800000
31412
4871
EARTHQUAKE
8
24
573
2769
24856
146242
120340
5
6
EPIDEMIC
108
1000
17
223259
11118
EXPLOSION
3
61
18
11212
9704
FIRE
24
232
74
78
6
7177
7176
82
3120158
4417000370
8
FLOOD
280
721
829
15746
76732
993150
229494
6599
3239
14521521
27263352006
212
26
356270
8556
FOREST FIRE
16
491
254605
38350000
7180
HAILSTORM
3
1
940
6636
1733
2
364
HEAVY RAINFALL & STRONG WINDS
23
6
65
471
2037
10023
7669
194763
347023041
13
1
686
26
INSECT INFESTATION
4
327437
3496750000
50
LANDSLIDE
11
65
25
26
6
7
16
60
Lightning
9
19
135
60
83
3477
8000000
2
MARINE ACCIDENT
58
1758
488
1607
1159
125
1178
MINE ACCIDENT
5
52
6
5
8
5
3
OTHER
11
2
12
40
9456
17000000
PEST INFESTATION
1
918
918
PLANT DISEASE
1
166
166
2517380
4526250000
761
RAINS
2
5
114
230000
531000000
177
STORM
2
54
634
3500
3500
67
Strong winds
24
2
16
213
1502
6026
2391
301108
653799000
20
2
14
STRUCTURAL COLLAPSE
1
39
THUNDERSTORM
1
1
1
TRAIN ACCIDENT
1
283
466
VERMIN INFESTATION
9
7
858185
16970000000
130965
VOLCANO
1
WINDSTORM
6
6
30
638
29
15000000
2
148
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
Arusha
02
29
116
13
50
374
1047350
8732
3084388
3555646000
5
1006
Dar-es-salaam
07
42
752
340
992
20350
40589
17263
3110
2086469
8194441010
19
5
Dodoma
01
30
338
466
1117
5435
26485
8155
396000000
9
3
2
8328
Geita
25
17
42
148
2
139
1313
820
82
3
7
3592
31
Iringa
11
18
39
22
1591
1330
13572
11072
7465494
8482730578
29
12226
90
Kagera
18
16
22
578
2102
25857
142236
127438
11954
5001900
6
6
773
Kaskazini Pemba
54
3
7
183
5
Kaskazini Unguja
51
72
258
120
1385
44
43
1391
523
1026
9456
117000000
Katavi
23
8
10
60
84
197
925
60
1
410
47
Kigoma
16
13
132
60
70
486
100383
3517
53512
170553500
2
621
Kilimanjaro
03
29
81
30
482
4764
318149
66793
82
121
3461
7960500
10
3
2519
1600
Kusini Pemba
55
1
5
5
Kusini Unguja
52
64
57
3
1
14
807
15
1
Lindi
08
33
245
6642
4024
1687260
22966
21287203370
104
9
137195
Manyara
21
16
209
310
3
15
789
2575
575
2134199
4566110400
1
1382
3000
Mara
20
14
17
386
589
171668
4865
1
8
806261
1329000000
5
3
2694
36
Mbeya
12
26
29
23
279
1180
149614
4026
1658860
3816001120
12
2174
391
Mjini Magharibi
53
14
426
320
215
123
40
191
Morogoro
05
26
169
60
6
1677
23189
157935
44813
6298
12256
28200000
2
16144
63
Mtwara
09
22
7
7
455
994
143269
2229
300
133062
174481250
42684
Mwanza
19
27
1116
56
200
241
10185
1385
2620
2209000
7
9
Njombe
22
5
10
10
26
15000
16
Pwani
06
39
14
31
201
2021
385926
5477
3130621
6004741746
15
3
13676
26
Rukwa
15
21
30
29
870
265
7061
5666
30905
55199000
6
4804
Ruvuma
10
8
3
91
27
402
374
6295
14483000
1554
Shinyanga
17
4
57
12
3959
3500
3500
67
Simiyu
24
1
2
5
690
636
7956
Singida
13
25
87
9
13359
47760
53321
425762
981250000
2
7606
Songwe
56
5
14
54
3394
2225
2225
375950
865350998
8
2
42
Tabora
14
11
1
7
362
2043
4602
4596
781
1796000
3
19
23
Tanga
04
35
125
20
1462
1875
613845
12764
63957000
11
2
276893
15
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
8
192
97
255023
12690000000
102453
2005
12
321028
3888500000
2680
4871
2006
32
2
7
5
613
42
42
97722000
1
1
2007
18
39
10
1
100
1136
5596
2314
258
3
138930
182048750
10958
2008
12
81
24
2365
31
24
559
2009
17
94
33
21757
66583
31038
12
6690
10024666
2
86
2010
16
196
137
6253
2931
11
1
1498
164912955
588
2011
34
283
373
1370
952
3213
19816
5344
4064
1061334
1853986625
5
1
4147
2012
21
218
201
212
1
125
194
9456
17000000
2013
14
49
24
26
4213
3262
1261
2
9864
2014
15
24
4
18
1245
1960
84933
12097
30
2517380
4526250000
3733
2015
16
77
12
10
3057
82654
55992
3500
121
1611148
3078582130
6
1
150
67
2016
36
26
569
2551
26581
225736
120280
1931261
8202858880
4
6
6525
2017
16
27
85
475
1455
3937
682781370
12
1
1872
2018
59
397
433
1240
9304
19895
5670
6298
32
5
16232
6484
2019
109
325
262
2
2704
19846
75597
66874
83
11
10522148
15531539346
51
6
22229
442
2020
67
92
39
8975
18687
78759
101566
3632458
4794399150
148
14
20071
1630
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