UNDRR
DesInventar Sendai
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.
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
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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
6
5
1
128
128
2687
6000000
3
AFLATOXIN
3
4
47
48
ANIMAL DISEASES
1
10
10
8627
19750000
79
CONFLICT
1
27
23
54
CYCLONE
10
36
7
216
64
470
5
5
1498
285991955
1
137
DROUGHT
49
12
2256027
28753
765050
2069100000
31412
6025
EARTHQUAKE
16
38
579
2924
24884
147759
121813
2542850
5550034375
35
13
2
47
EPIDEMIC
110
1003
182
36
223526
11283
87
EXPLOSION
5
68
18
11212
22351
12647
375741
496884550
FIRE
141
233
139
647
37
11220
11222
118
376
19204980
15759694981
57
3
3227
51
FLOOD
422
883
1073
21549
107641
1224142
424911
6599
3864
33654924
66419424670
261
35
386082
101252
FOREST FIRE
16
491
254605
38350000
7180
fungal toxins
2
11
88
88
10663
20300000
HAILSTORM
10
3
1
972
6799
1772
7053
12198000
4
1022
HEAVY RAINFALL & STRONG WINDS
23
6
65
471
2037
10023
7669
194763
347023041
13
1
686
26
HOUSE FIRE ACCIDENT
3
1
3
1
1254
2882500
1
HUNGER/FAMINE
1
225642
225642
INSECT INFESTATION
4
327437
3496750000
50
LANDSLIDE
22
72
25
86
38
488
489
29
16
60
Lightning
21
36
154
7
80
147
100
32688
59440000
3
94
MARINE ACCIDENT
59
1761
488
1607
1164
128
1178
MINE ACCIDENT
6
52
9
5
11
8
3
MURDER
3
4
3
3
1
OTHER
14
2
2
5
39
27
40
9456
17000000
PEST INFESTATION
4
1400
2200
20928
14550
2633
5734400
2701
PLANT DISEASE
1
166
166
2517380
4526250000
761
RAINS
150
691
45
4139
2802
128288
119279
155
12866246
9292392738
48
9
11126
326
RATE IN FIELD
2
2351
2351
1248
2780000
629
RICE YELLOW MOTTLE VIRUS
1
1880
5782
5782
8179
18360000
372
STORM
2
54
634
3500
3500
67
Strong winds
89
4
27
455
2092
13441
8807
669271
3181121287
57
6
168
288
STRUCTURAL COLLAPSE
30
46
26
165
253
1707
1443
34664
77613040
17
4
51
SURGE
2
178
50
49
175
175
210
THUNDERSTORM
2
1
1
3477
8000000
TRAIN ACCIDENT
1
283
466
VERMIN INFESTATION
9
7
858185
16970000000
130965
VOLCANO
2
5
25
25
WILD ANIMALS
11
4
46
3510
97885
18861
164398
177417451
1
2970
WINDSTORM
16
6
30
773
682
629
15000000
5
156
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
36
116
13
50
374
1047350
8732
3084388
3555646000
12
1006
Dar-es-salaam
07
88
881
382
2125
35686
119675
82836
3110
5826043
14294015800
42
11
Dodoma
01
37
360
466
1477
6280
34972
16642
955543
2566801500
11
4
269
95320
Geita
25
17
42
148
2
139
1313
820
82
3
7
3592
31
Iringa
11
65
54
25
2328
1632
19164
14019
1
21581064
17164087454
42
1
15967
369
Kagera
18
48
685
634
2335
26446
163553
154504
6554001
12145477554
43
11
7842
102
Kaskazini Pemba
54
3
7
183
5
Kaskazini Unguja
51
72
258
120
1385
44
43
1391
523
1026
9456
117000000
Katavi
23
18
10
63
234
280
2130
545
79905
156974935
8
1
490
47
Kigoma
16
15
132
60
70
512
100543
3572
778479
287553500
4
639
Kilimanjaro
03
39
85
33
500
4845
319211
67855
82
121
3461
7960500
20
3
3815
2195
Kusini Pemba
55
1
5
5
Kusini Unguja
52
64
57
3
1
14
807
15
1
Lindi
08
38
260
132
6642
15587
1828105
77992
21287203370
107
11
150024
5569
Manyara
21
17
209
310
3
15
789
2575
575
2134199
4566110400
2
1382
3000
Mara
20
44
16
20
394
964
180631
13752
1
163
1099815
1860324485
18
6
12790
133
Mbeya
12
75
43
425
2774
2865
162997
15428
87
765
1781188
4066854820
24
1
2466
827
Mjini Magharibi
53
14
426
320
215
123
40
191
Morogoro
05
44
170
60
6
5063
23708
180589
61981
6298
70
3957517
9091569122
15
22972
113
Mtwara
09
92
8
8
1963
4965
405309
248050
300
5953063
10265809966
13
46446
Mwanza
19
29
1116
56
200
263
10646
1800
351
2620
2209000
8
9
Njombe
22
84
22
25
37
84
15616
389
36
30
62089
153250850
45
1
38
121
Pwani
06
44
14
31
241
2044
386241
5792
3130621
6004741746
20
3
13676
26
Rukwa
15
68
52
106
7
1564
1240
69380
62348
236067
1609615737
19
5
4871
80
Ruvuma
10
22
3
103
254
1607
613
6295
14483000
20
1554
Shinyanga
17
4
57
12
3959
3500
3500
67
Simiyu
24
20
3
6
1742
656
13420
4840
129644
236292870
3
2380
262
Singida
13
44
99
14
1259
15968
57057
62242
6703135
15315908520
6
1
8602
21
Songwe
56
5
14
54
3394
2225
2225
375950
865350998
8
2
42
Tabora
14
85
15
27
1786
3288
101576
98649
8635190
3176293861
23
7
1759
205
Tanga
04
38
125
20
1462
1875
613845
12764
63957000
16
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
7
61
23
140
320
124387
160
65781
652163425
1761
2001
7
39
20
11
181
84773
861
65668
3585638500
28255
2002
22
337
471
9
693
660
8218
35
196167431
185
2003
23
5
1
13
476624
4
197000000
1392
137
2004
10
13
192
97
255143
120
42311
12745300000
102497
2005
14
2
19
71
321853
825
42240
3940192350
2706
4871
2006
35
3
12
9
1128
557
42
26676
111976443
1
1
69
2007
19
39
10
1
100
1142
5626
2330
258
3
140549
185768750
10958
2008
35
81
30
3
35
2713
365
25
49
5573
7120000
1
561
2009
23
97
33
70
21757
80346
44801
82
386464
512159216
2
78
86
2010
24
851
152
20
6367
6575
3541
1
145604
376219219
7
1
1369
2011
52
330
373
1370
1082
3658
31766
16709
4064
4210741
7028482080
10
4
5701
46
2012
31
221
202
212
54
423
7594
6393
194
2550002
4004659675
4
1
6410
11
2013
28
52
29
108
4245
5509
3051
1227246
1949223416
9
11852
2014
47
38
21
18
1656
5842
184965
31633
30
4401741
7475546810
15
2
7802
2015
63
94
112
1134
6101
151670
114760
3587
121
14158913
12855050997
23
3
3686
329
2016
112
37
601
4404
28890
475460
359482
17717598
18919792996
21
9
17160
409
2017
72
36
183
742
8463
42643
23395
11
394201
3292148836
30
4
2511
1323
2018
124
437
488
4341
14024
57474
41161
6298
935868
2144910400
73
14
16708
6557
2019
174
355
300
2
4956
20907
135688
126148
84
721
11138140
16940516451
88
8
26977
86441
2020
191
159
369
7
12086
31282
182174
199657
566
12805462
26047116647
213
19
33492
7452
2021
31
12
14
1846
4200
40545
26967
2618954
5644382346
30
6
2551
841
2022
4
2
3
21
46
366
366
2023
4
7
48
144
581
9032
5
170
United Republic of Tanzania
Summary:
DataCards: 1270
Period:
1872 - 2023
Highest Mortality:
MARINE ACCIDENT: 1761 Deaths; 59 DataCards
EPIDEMIC: 1003 Deaths; 110 DataCards
FLOOD: 883 Deaths; 422 DataCards
Highest Housing Damages:
FLOOD: 129190 Houses; 422 DataCards
EARTHQUAKE: 27808 Houses; 16 DataCards
EXPLOSION: 11212 Houses; 5 DataCards