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Region: Angola - [ago]

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Disaster type

Province

Angola

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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 $Local	Education centers	Hospitals	Damages in crops Ha.	Lost Cattle	Damages in roads Mts
AVIATION ACCIDENT	5	19	35			50		52		35
CHOLERA	2	30				29	596	176		176
COASTAL EROSION	1	100	300			1000	6000	1800
DROUGHT	9	35				30686	184116	183003	540	12530	57600000000			106675
EARTHQUAKE	2		8			656	3924	3924		58
EPIDEMIC	2	294				67	654	654
EROSION	1				53	250	1500			303
EXPLOSION	1	1	5		1
FIRE	11	1021	3004		6	181	54	1006			200000000000
FLOOD	78	678	2060	19	6975	15972	58778	57998	2881	8979	11280400000	330300010	585360001	358	500000000	22000000007
Heavy Rain With Lightnings	23	416	1840	109	4307	2241	32774	10229	2208	2510	40994200000	7	1		4	4
LANDSLIDE	3	188	450		1153	1086	6546	6476		564	627640000
LIGHTNING	4	137	475			13	885	2074		25
NAVIGATION ACCIDENT	1	10
PLANE CRASH	3	29	150		15	15	150	169		136
RIVERINE FLOOD	11	76	31		213	807	1712	901	60	68
ROAD ACCIDENT	20	164	200			5	117	109		42
TORNADO	1

Spatial Distribution get it as Excel

Geography	Code	DataCards	Deaths	Injured	Missing	Houses Destroyed	Houses Damaged	Indirectly Affected	Directly affected	Relocated	Evacuated	Losses $Local	Education centers	Hospitals	Damages in crops Ha.	Lost Cattle	Damages in roads Mts
Bengo	18	3	1			533	727	3175
Benguela	09	27	408	821	83	2624	20486	116885	111887	1704	1872	45622600000	330300000	585360000		500000000	22000000000
Bié	11	11	73	81		1422	4275	7235	4917		728						3
Cabinda	01	2	10	2		5	174	122		173	868
Cuando Cubango	13	7	34	30		1050	19239	110434	106737	8	10978		10	1	107033		3
Cuanza Norte	05	18	139	186		225	715	3648	2387	231	737
Cuanza Sul	06	3	10	3		380	452	433	315		72
Cunene	16	15	158	1049		859	2023	10548	1638	2976	2326	63600000000
Huambo	10	14	35	112		833	885	9901	4892		65		2			4
Huíla	15	19	151	68	10	345	1123	7416	6832	181	2308	10000000					1
Luanda	04	7	1459	4350	13	726	1633	5928	6348		1491	201269640000	5	1			4
Lunda Norte	08	2		7		2			7		1
Lunda Sul	17	19	125	97		43	211	270	60
Malanje	07	2	160	1650		15	315	1950	18150		1636
Moxico	12	1
Namibe	14	3	80	5	22	2966	206	15733	1113	50	1901
Uíge	03	2	307	5		151	50	552	552	300
Zaire	02	23	48	92		544	544	3576	2736	66	443

Temporal Behaviour get it as Excel

Year	DataCards	Deaths	Injured	Missing	Houses Destroyed	Houses Damaged	Indirectly Affected	Directly affected	Relocated	Evacuated	Losses $Local	Education centers	Hospitals	Damages in crops Ha.	Lost Cattle	Damages in roads Mts
1917	1					162	963	963	540	540
1977	1					160	956			823
1978	2	20	43		8	54	324	324		46
1979	1		8			654	3924	3924		58
1980	1	14			14	9	84	14
1981	1	1000	3000			170		1000			200000000000
1984	1
1986	1	14						14
1991	1	2						2
1993	1
1995	1	10	150		15	15	150	150		136
2001	1	14	18
2003	1	15
2004	1	150	1500			300	1800	18000		1500
2005	3	352	236		84	117	954	954		262	630000000
2007	6	358	1159	12	610	848	5394	5023		1273	639640000	5	1			4
2008	6	113	64		52	935	5628	636	50	146
2009	3	8	7	6	100	420	1561	502	1	501		4	1	358		1
2010	32	131	172		2233	2577	8004	3261	616	2815		6				2
2011	16	31	33		613	3018	15418	14236	22	121
2012	7	120	32		195	120	737	476	397	282
2013	28	160	92	2	1679	28982	156210	150632	28	7829				61330	4	4
2014	9	170	1081		154	8127	48783	46345	2000	4651	63600000000			45345
2015	11	77	60	99	4690	2283	32239	13034	540	1892	45472200000	330300002	585360000		500000000	22000000000
2016	33	401	832	9	2189	3863	12794	8090	1084	2124	150400000
2017	9	38	71		87	244	1883	991	411	427	10000000

Angola

Summary:
DataCards: 178
Period:1917 - 2017

Highest Mortality:
FIRE: 1021 Deaths; 11 DataCards
FLOOD: 678 Deaths; 78 DataCards
Heavy Rain With Lightnings: 416 Deaths; 23 DataCards
Highest Housing Damages:
DROUGHT: 30686 Houses; 9 DataCards
FLOOD: 22947 Houses; 78 DataCards
Heavy Rain With Lightnings: 6548 Houses; 23 DataCards