• Image UNDRR
  • DesInventar Sendai
  • Image unavailable
Region: Uganda - [uga]          Profile:

Select what profile you want:

Disaster type
District
Uganda        

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
ACCIDENT243971337059132
ANIMAL ATTACK463959118720368222
CONTAMINATION323560
DROUGHT640268492047325685190
DROWNING7037837117
EARTHQUAKE17278133136886770113700
EPIDEMIC28425242672629960738220504771639
FAMINE315362809111700
FIRE270193467437013140249442874936000103453
FLASH FLOOD2100
FLOOD13314835792735195302634140775182733138162444534135797041322255861
FOREST FIRE33107
HAILSTORM643493205153272057283628503700160444467551
HEAT WAVE1
INTOXICATION7382
LANDSLIDE332271811896724434454336751955771105364278241380535
LIGHTNING10621949351167255
MUDSLIDE2822298129654112
OTHER3910211203645871505362830
PLAGUE5
RAINS663413319714164040024164561
RAINSTORM12329158211926981474107311621
STORM451232460541182463475353500470140177102017260
STRUCTURAL COLLAPSE11218350
THUNDERSTORM2114203247055
TORNADO115451350
WINDSTORM83184829710486431830


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
ABIM314335376577
ADJUMANI3012317232551506
AGAGO32931135230021233000004
ALEBTONG30811121357411532
AMOLATAR315141
AMUDAT31126522254660620140517
AMURIA2167524201065213437600612430424485
AMURU31614151024300300273576369
APAC302241354578711676000161500119
ARUA30316625956818834294424740131300189
BUDAKA2172824713852
BUDUDA218141239362950583330152200544422471479384080
BUGIRI2012380397183348751171922
BUHWEJU42413728812262
BUIKWE1082230311730178
BUKEDEA2193211671201828725094007923174
BUKOMANSIMBI1053648109616014540
BUKWO2202615217413414635
BULAMBULI215911992172708327236673250042124
BULIISA4161166124976451
BUNDIBUGYO4014243414478159062000923
BUSHENYI40259381376282416540054130
BUSIA202226722422112159
BUTALEJA2211101468267161859923612313312436052
BUTAMBALA106812965
BUVUMA123524210
BUYENDE205712163010500
DOKOLO31712124008452600
GOMBA12194344148276200
GULU3055523855714242189111020
HOIMA403534343515616482111100
IBANDA4173564441301792223092
IGANGA2032445798015261582
ISINGIRO41847272418277657
JINJA20454257116845062742641
KAABONG31897159132012804505
KABALE4041382885149753623742467500163762
KABAROLE4057650626362840678317563710043061108
KABERAMAIDO213127463464
KALANGALA1012688136672652343375055
KALIRO22221
KALUNGU118191032274291
KAMPALA1021364604173362347119688216977626141
KAMULI22742116531563021131065216
KAMWENGE4134162364645636480110
KANUNGU414261046150290473449
KAPCHORWA206421141891076894593501007213
KASESE4061423527297976127733519199011232056319617396
KATAKWI20710523506713100002398951504599520001
KAYUNGA1125735179236184913820
KIBAALE4075717825353352924112958
KIBOGA103469622642211713180
KIBUKU210206276246667415
KIRUHURA42021524335
KIRYANDONGO40943810713436
KISORO4081345611631944507912100916163116620
KITGUM323482242932001538301000
KOBOKO319161012675403
KOLE322174845546327
KOTIDO30663595123157182081
KUMI2083510027955613396021
KWEEN22843620300
KYANKWANZI11722113163750250420
KYEGEGWA41531194
KYENJOJO4276471399519185001
LAMWO324282204167554
LIRA30761169119127247781066710400003207110
LUUKA2269401535543
LUWERO10422204905241504
LWENGO11921516944462605
LYANTONDE114111051468524
MANAFWA2238228527419421759531510537
MARACHA320492000
MASAKA12046487164611213780116464511001
MASINDI4263320059111057990508216
MAYUGE21428665516772281
MBALE209882291022145841214309803839211321
MBARARA4101924988766138715643473500102425
MITOOMA423224116219931733
MITYANA115191826126196
MOROTO32578123291512143781300679930
MOYO309373448175293749298713279
MPIGI12228529127517545815133700311880500
MUBENDE10741218314174037574212133
MUKONO12487452163414704051019573601
NAKAPIRIPIRIT3124711128116824
NAKASEKE1161553832892
NAKASONGOLA109319523749220027859716
NAMAYINGO225180
NAMUTUMBA224204156114221599811841
NAPAK326611613919381140
NEBBI31010813948936424324744513352
NGORA22932337618
NTOROKO42135224944015728450022
NTUNGAMO4116810737461551612501
NWOYA331981740003642
OTUKE32739113585652996150934073
OYAM32114327225143475263
PADER330133598
PALLISA230561435062430104171210517210010
RAKAI110481194501197683249510051024
RUKUNGIRI41240593057773220219896
SERERE2112113927021956103
SIRONKO232116851194465761480335121001011757198
SOROTI231407724729028716120931163000
SSEMBABULE1114522198402786090292073
TORORO212907447010723410341064
WAKISO113481955931092322291515023900
YUMBE313191140162
ZOMBO32884788191083822458744205


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
19334100
1945158
1964236
1966225713236752
19702120
19821
19861
198916411231700
19901617660716
19911717553223001
1992382656014231832351
19931448231852000
199437683612734201000001501262010
1995409495628225139517110931
19961965136154030311
199732243201316367171520119
1998573359276826723012337061700623809600
1999451797360680519016000
20008834291009551277644120
2001103181410908626068102900402706
2002144223011195249645815411942039245635000
20038947826937323078159172750041430165
2004631213953037227851122100151104120
20059810917422048123835423625496200
2006693837274513599407820042740
20072632769311372853310231818023003504000016582174120
200812120314984318951419819887591267353
200946820716371242113076026177311271
20105592143316962471642992977624947736231102194757164221
20116987096514565185857386661037621031072231331165167116
201221011623419353122711791045001501612593
2013363105118433674349049173706001921667546
201421184102125454162809706122433
201529428321372191199020150462797950
201616310620222113827089582418787
20172753841151845314914352406372232241175
201822319547666467289286219061827924313212664110
202019
Uganda

Summary:
DataCards: 4847
Period:1933 - 2020

Highest Mortality:
ACCIDENT: 9713 Deaths; 243 DataCards
LANDSLIDE: 2718 Deaths; 332 DataCards
EPIDEMIC: 2524 Deaths; 284 DataCards
Highest Housing Damages:
FLOOD: 65458 Houses; 1331 DataCards
EARTHQUAKE: 10458 Houses; 17 DataCards
FIRE: 8415 Houses; 270 DataCards


UNDRR site
e-mail us
DesInventar Open Source Server