UNDRR
DesInventar Sendai
SENDAI FRAMEWORK
FOR DISASTER RISK REDUCTION
HOME
Analysis
Administration
Download
About
Get bookmark
English
Español
Português
Français
Armenian
Russian
Chinese
Arabic
Albanian
Bahasa
Farsi
Lao
Thai
Mongolian
Serbian
BHS
Montenegrin
Vietnamese
Profile
Query
View data
View map
Charts
Statistics
Reports
Thematic
Crosstab
English Data
Region:
United Republic of Tanzania
- [tza]
Profile:
Select what profile you want:
Disaster type
Multi-hazard profile
FLOOD
RAINS
FIRE
EARTHQUAKE
EPIDEMIC
Strong winds
MARINE ACCIDENT
DROUGHT
STRUCTURAL COLLAPSE
HEAVY RAINFALL & STRONG WINDS
LANDSLIDE
Lightning
WINDSTORM
FOREST FIRE
OTHER
WILD ANIMALS
CYCLONE
HAILSTORM
VERMIN INFESTATION
ACCIDENT
MINE ACCIDENT
EXPLOSION
INSECT INFESTATION
PEST INFESTATION
AFLATOXIN
MURDER
HOUSE FIRE ACCIDENT
THUNDERSTORM
RATE IN FIELD
fungal toxins
SURGE
STORM
VOLCANO
TRAIN ACCIDENT
CONFLICT
ANIMAL DISEASES
HUNGER/FAMINE
PLANT DISEASE
RICE YELLOW MOTTLE VIRUS
Region
ALL
Arusha
Dar-es-salaam
Dodoma
Geita
Iringa
Kagera
Kaskazini Pemba
Kaskazini Unguja
Katavi
Kigoma
Kilimanjaro
Kusini Pemba
Kusini Unguja
Lindi
Manyara
Mara
Mbeya
Mjini Magharibi
Morogoro
Mtwara
Mwanza
Njombe
Pwani
Rukwa
Ruvuma
Shinyanga
Simiyu
Singida
Songwe
Tabora
Tanga
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
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
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
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
UNDRR
UNDRR
Profile
Query
View data
View map
Charts
Statistics
Reports
Thematic
Crosstab