Datasets:

electricsheepafrica
/

africa-synth-climate-drought-flood-impact-africa-all

record_id string	country string	year int64	event_type string	event_subtype string	event_duration_days int64	rainfall_deficit_pct float64	severity_index float64	severity_category string	affected_area_km2 int64	population_affected int64	population_displaced int64	deaths int64	injuries int64	housing_destroyed int64	housing_damaged int64	agricultural_land_affected_ha int64	crop_loss_value_usd int64	livestock_loss_heads int64	infrastructure_damage_usd int64	total_economic_damage_usd int64	damage_gdp_pct float64	early_warning_issued int64	warning_lead_time_hours int64	emergency_response_activated int64	response_time_hours int64	international_aid_requested int64	international_aid_received_usd int64	recovery_duration_months int64	recovery_progress_pct int64	long_term_displacement_risk float64
DF_000000	Niger	2,020	flood	flash	20	531	2.75	Minor	3,201	126,133	5,377	42	207	2,691	6,199	146,535	58,668,277	1,358	56,853,034	148,150,627	0.24	1	126	1	3	0	0	13	92	0.016
DF_000001	Uganda	2,022	flood	riverine	25	408	4.65	Moderate	297	12,552	975	57	289	512	1,501	14,039	4,678,178	2,327	5,889,082	20,547,679	0.1	0	0	0	0	0	0	16	75	0.039
DF_000002	DRC	2,021	flood	flash	25	534	4.34	Moderate	6,802	150,796	26,921	59	261	7,337	27,340	188,579	90,894,430	2,183	101,174,047	262,884,808	0.22	1	22	1	87	0	0	22	70	0.095
DF_000003	Ghana	2,018	drought	meteorological	76	115.5	2.33	Minor	8,984	52,555	1,630	35	151	449	761	392,270	118,744,636	1,211	91,846,936	216,862,155	0.28	0	0	0	0	0	0	16	100	0.01
DF_000004	Rwanda	2,023	flood	flash	4	307.5	3.47	Moderate	11,792	269,036	60,189	52	407	17,223	40,727	202,343	41,653,441	1,787	294,431,613	496,731,348	0.77	0	0	1	50	1	13,519,052	18	100	0.075
DF_000005	Malawi	2,024	flood	riverine	18	597	3.5	Moderate	13,045	61,513	6,552	53	329	3,243	5,668	143,860	53,083,199	1,832	65,565,226	169,292,022	0.14	1	12	0	0	1	18,984,289	14	97	0.038
DF_000006	Uganda	2,025	flood	riverine	13	555	4.03	Moderate	1,736	287,958	58,743	49	309	32,979	92,014	44,938	10,359,111	1,942	10,554,379	557,888,179	0.31	1	44	0	0	1	54,049,880	16	71	0.107
DF_000007	South Africa	2,024	drought	hydrological	356	112.5	1.28	Minor	1,279	33,339	1,124	15	48	477	920	42,592	5,308,837	642	10,879,984	23,509,738	0.1	0	0	1	2	0	0	10	88	0.014
DF_000008	Senegal	2,020	flood	riverine	12	480	2.2	Minor	1,430	38,941	3,011	41	180	707	1,247	46,383	10,442,765	1,134	25,714,540	48,452,729	0.1	0	0	1	28	0	0	17	82	0.035
DF_000009	Nigeria	2,019	flood	riverine	5	456	2.85	Minor	5,516	76,178	6,962	44	295	3,035	5,157	150,823	26,178,634	1,467	153,068,737	200,808,266	0.34	0	0	1	19	0	0	15	79	0.043
DF_000010	South Africa	2,019	drought	agricultural	302	88.5	2.92	Minor	13,430	195,182	16,884	37	181	4,234	11,395	317,006	57,894,163	1,522	52,688,734	161,664,522	0.16	1	47	1	12	0	0	19	100	0.029
DF_000011	DRC	2,024	flood	coastal	5	429	1	Minor	3,794	41,810	2,727	17	97	598	1,079	98,116	4,060,732	504	8,691,188	22,083,037	0.1	1	10	0	0	0	0	6	100	0.022
DF_000012	Kenya	2,023	drought	agricultural	93	108	4.32	Moderate	7,241	47,698	2,815	76	309	1,532	3,555	211,914	41,314,538	2,149	126,841,382	197,928,068	0.29	1	71	1	3	1	8,704,386	15	86	0.025
DF_000013	Nigeria	2,022	drought	agricultural	311	109.5	7.64	Extreme	12,133	1,058,802	187,557	96	618	42,582	120,418	529,429	399,826,632	4,049	745,502,564	1,643,870,970	1.55	1	75	1	22	0	0	27	64	0.102
DF_000014	Uganda	2,025	drought	meteorological	121	91.5	3.44	Moderate	8,412	93,929	14,890	44	315	3,924	11,008	253,613	99,396,238	1,735	248,396,760	424,915,486	0.39	1	15	1	120	0	0	21	89	0.064
DF_000015	Ethiopia	2,021	drought	meteorological	180	91.5	9.75	Catastrophic	3,731	401,031	147,679	117	468	48,791	167,474	110,375	152,418,975	4,943	224,853,505	1,204,395,916	1.96	1	8	1	7	0	0	40	42	0.265
DF_000016	Malawi	2,025	drought	agricultural	94	48	5.78	Severe	14,763	880,364	203,826	97	722	46,299	86,455	246,994	197,628,485	2,820	662,373,470	1,389,447,939	2.28	1	63	1	36	0	0	26	80	0.108
DF_000017	Niger	2,021	flood	flash	10	441	7.82	Extreme	3,356	374,252	104,926	126	278	31,022	55,602	110,896	46,313,197	3,956	243,398,455	725,980,938	1.08	1	33	1	54	1	104,860,637	25	63	0.163
DF_000018	Mali	2,023	flood	coastal	20	436.5	6.73	Severe	8,945	40,301	17,419	88	507	10,379	32,895	99,596	39,071,766	3,327	133,760,423	360,472,402	0.34	1	5	1	30	0	0	27	77	0.21
DF_000019	Rwanda	2,018	flood	flash	8	312	4.47	Moderate	1,262	40,228	3,735	79	357	1,126	3,092	35,361	10,621,553	2,145	55,223,174	72,462,333	0.1	1	25	1	77	1	3,610,411	22	93	0.035
DF_000020	Malawi	2,020	drought	meteorological	296	88.5	3.29	Moderate	2,307	182,907	35,703	46	152	19,021	42,663	98,450	15,240,816	1,717	35,532,779	333,409,739	0.48	0	0	0	0	1	29,042,755	17	85	0.085
DF_000021	South Africa	2,021	flood	coastal	14	469.5	2.24	Minor	2,459	2,192	100	30	81	22	48	82,510	19,789,271	1,116	46,585,108	66,777,182	0.1	0	0	0	0	1	9,349,729	16	80	0.021
DF_000022	Ethiopia	2,019	flood	riverine	21	507	1.49	Minor	1,635	10,233	696	23	178	333	1,019	35,569	2,396,152	740	22,356,437	28,041,723	0.1	1	10	0	0	0	0	12	100	0.023
DF_000023	Malawi	2,023	drought	meteorological	260	48	1.47	Minor	362	1,704	100	26	85	37	143	16,555	1,862,481	735	1,807,449	3,914,554	0.1	1	90	1	12	0	0	7	95	0.022
DF_000024	Malawi	2,025	flood	riverine	8	273	2.82	Minor	11,502	387,194	47,874	40	203	16,270	44,291	271,398	107,266,823	1,527	255,213,549	579,796,335	0.48	1	98	1	21	0	0	15	100	0.041
DF_000025	South Africa	2,025	flood	flash	24	298.5	7.5	Extreme	3,875	90,319	11,134	139	463	3,013	7,376	149,507	166,595,331	3,926	29,298,719	236,016,625	0.15	1	62	0	0	1	6,081,003	27	78	0.059
DF_000026	South Africa	2,020	flood	flash	24	294	9.73	Catastrophic	29,948	2,653,778	1,273,665	128	611	462,415	1,213,907	989,093	1,491,168,685	4,762	1,401,318,043	8,764,886,769	8.03	1	81	1	22	1	500,000,000	38	47	0.33
DF_000027	Mozambique	2,020	flood	riverine	18	220.5	5.86	Severe	7,719	1,138,727	266,645	86	673	115,392	248,372	273,077	94,350,842	2,815	283,913,892	2,292,689,256	2.87	0	0	1	21	1	208,948,965	23	69	0.126
DF_000028	Senegal	2,024	drought	hydrological	238	96	2.44	Minor	965	40,457	1,154	25	188	575	1,157	29,692	3,954,740	1,235	21,797,145	32,629,081	0.1	1	34	1	120	0	0	17	84	0.013
DF_000029	Niger	2,022	flood	flash	24	367.5	7.82	Extreme	5,043	179,457	93,323	114	666	19,920	75,704	214,658	143,937,349	3,866	337,532,372	764,643,695	1.12	1	46	1	24	1	27,954,895	34	74	0.263
DF_000030	Malawi	2,021	drought	meteorological	102	60	1.84	Minor	8,748	118,800	7,550	29	82	2,054	3,150	236,731	66,556,562	912	145,607,395	236,357,684	0.4	1	2	1	54	0	0	11	84	0.028
DF_000031	Kenya	2,020	flood	coastal	5	579	10	Catastrophic	27,073	1,284,300	702,772	123	711	194,437	653,125	1,122,557	742,332,110	5,185	1,705,467,631	3,675,521,888	3.61	1	1	0	0	0	0	33	41	0.398
DF_000032	Senegal	2,021	drought	meteorological	268	100.5	4.85	Moderate	4,635	24,162	1,594	94	444	683	1,440	209,230	113,657,347	2,446	152,146,891	272,654,670	0.26	0	0	1	61	0	0	22	80	0.031
DF_000033	Mali	2,020	flood	riverine	26	444	4.69	Moderate	18,684	5,431,195	1,014,232	80	522	500,000	1,500,000	199,410	139,684,912	2,502	856,225,716	9,710,554,312	7.12	1	50	0	0	1	500,000,000	18	75	0.093
DF_000034	Uganda	2,019	flood	riverine	23	297	2.59	Minor	600	5,249	464	45	103	150	239	23,386	7,684,946	1,372	10,429,525	20,297,709	0.1	0	0	0	0	0	0	12	97	0.031
DF_000035	Mozambique	2,021	cyclone	cyclone	2	556.5	3.32	Moderate	1,885	74,379	17,080	44	201	4,178	13,527	87,263	22,465,016	1,611	45,186,328	121,729,579	0.12	0	0	0	0	1	6,979,990	14	85	0.1
DF_000036	Senegal	2,023	drought	agricultural	62	48	10	Catastrophic	11,931	531,030	295,556	174	870	175,102	650,689	377,962	162,989,290	4,955	429,432,363	2,680,256,376	1.91	1	2	1	119	0	0	37	55	0.352
DF_000037	Zambia	2,023	flood	flash	16	448.5	9.82	Catastrophic	4,679	601,166	192,391	144	391	85,327	132,506	181,380	161,152,247	4,816	150,938,213	1,233,082,330	2.03	1	60	1	37	1	158,401,069	38	50	0.213
DF_000038	DRC	2,019	flood	riverine	21	511.5	6.12	Severe	13,409	5,435,165	966,437	62	281	368,886	1,267,958	568,496	267,862,200	3,072	328,091,102	7,436,030,930	8.5	1	8	0	0	1	500,000,000	27	74	0.09
DF_000039	Nigeria	2,023	flood	riverine	10	516	5.94	Severe	27,784	3,655,909	726,742	92	325	408,079	985,945	1,197,001	944,233,167	2,845	1,010,272,677	4,429,609,825	8.11	1	31	1	7	0	0	25	63	0.115
DF_000040	South Africa	2,022	flood	coastal	17	582	4.11	Moderate	13,119	488,251	133,341	78	398	79,840	282,973	160,706	85,688,444	2,114	102,799,670	1,610,128,799	1.69	1	68	1	3	0	0	19	78	0.131
DF_000041	Nigeria	2,019	flood	flash	10	270	1.98	Minor	1,143	42,957	1,606	26	106	538	1,298	45,640	10,737,626	1,014	18,467,669	37,100,203	0.1	1	1	1	26	0	0	8	89	0.015
DF_000042	Mali	2,025	flood	riverine	9	504	4.69	Moderate	12,418	756,636	59,101	78	319	30,034	55,311	235,459	162,900,793	2,464	363,620,046	880,196,886	1.63	1	45	1	13	0	0	25	83	0.035
DF_000043	DRC	2,021	flood	flash	28	186	3.77	Moderate	9,770	101,907	22,000	56	409	6,857	17,170	184,770	31,725,525	1,858	287,472,752	403,468,115	0.28	1	6	0	0	0	0	18	94	0.081
DF_000044	Rwanda	2,021	flood	riverine	26	448.5	5.93	Severe	5,236	1,333,466	119,211	92	692	64,154	164,171	162,516	87,215,117	3,059	73,869,808	1,303,276,360	1.48	1	100	1	17	1	64,031,146	24	77	0.044
DF_000045	Uganda	2,021	drought	meteorological	132	114	5.52	Severe	13,591	143,047	36,561	94	607	8,311	19,633	666,657	540,917,504	2,638	302,530,418	993,972,956	1.46	1	1	1	30	0	0	26	90	0.102
DF_000046	Niger	2,024	drought	meteorological	330	114	4.98	Moderate	11,980	910,003	50,688	62	266	12,135	18,634	419,393	111,945,650	2,477	263,423,927	578,396,847	0.35	0	0	1	120	0	0	23	91	0.022
DF_000047	Senegal	2,021	drought	agricultural	156	117	1.05	Minor	1,380	46,476	763	11	29	334	1,032	19,132	1,195,638	518	12,197,879	16,235,472	0.1	1	40	1	67	0	0	11	99	0.006
DF_000048	South Africa	2,022	flood	coastal	5	399	3.75	Moderate	18,916	520,032	110,536	54	225	46,415	93,584	691,742	201,945,617	1,815	379,139,064	1,294,810,869	1.57	1	32	1	10	0	0	16	74	0.108
DF_000049	Ghana	2,019	drought	hydrological	165	55.5	3.99	Moderate	5,321	405,292	88,534	56	419	30,652	74,522	232,219	139,606,772	1,995	51,071,002	723,265,132	0.95	1	165	1	40	0	0	21	70	0.117
DF_000050	Ghana	2,023	flood	flash	28	357	2.4	Minor	9,788	204,885	17,742	36	78	8,405	26,007	188,940	59,966,134	1,193	110,647,108	330,029,162	0.33	0	0	1	18	0	0	10	80	0.04
DF_000051	Tanzania	2,023	flood	riverine	19	162	5.37	Severe	10,270	309,291	90,528	75	584	51,939	196,186	335,440	266,078,392	2,733	279,207,763	1,397,136,208	2.46	0	0	1	36	0	0	26	72	0.152
DF_000052	DRC	2,021	drought	hydrological	264	82.5	4.6	Moderate	5,657	146,196	21,642	74	551	5,067	13,625	197,832	87,356,824	2,212	33,572,033	157,963,276	0.31	1	8	1	2	0	0	24	77	0.072
DF_000053	South Africa	2,023	drought	hydrological	300	70.5	4.93	Moderate	7,567	901,245	104,312	68	283	25,948	84,908	250,402	64,757,596	2,447	301,546,020	520,384,225	0.27	1	136	1	2	1	26,018,750	21	73	0.059
DF_000054	South Africa	2,024	flood	riverine	6	559.5	6.86	Severe	7,935	1,374,215	504,136	86	230	191,222	334,049	329,684	158,163,119	3,419	211,677,245	2,985,601,847	3.95	1	22	0	0	1	180,626,910	25	61	0.218
DF_000055	Tanzania	2,025	drought	agricultural	332	63	7.67	Extreme	13,432	3,898,064	2,066,047	133	442	500,000	1,151,724	251,551	283,888,033	3,827	149,246,423	7,036,115,310	6.49	1	77	1	16	1	500,000,000	32	70	0.283
DF_000056	Niger	2,022	drought	hydrological	312	115.5	5.38	Severe	253	17,729	3,969	87	600	1,247	3,860	6,943	5,507,102	2,673	6,216,607	25,719,944	0.1	0	0	1	41	1	2,628,792	25	88	0.093
DF_000057	Niger	2,025	drought	meteorological	159	48	7.74	Extreme	8,910	620,235	54,732	106	705	32,483	48,902	217,603	148,242,023	3,935	200,792,894	549,661,226	0.6	0	0	1	59	0	0	29	77	0.043
DF_000058	Tanzania	2,022	flood	riverine	21	228	2.05	Minor	1,635	83,100	7,004	27	199	1,870	3,964	28,897	5,253,710	982	10,231,417	40,949,357	0.1	1	27	1	20	0	0	17	84	0.037
DF_000059	Mali	2,019	drought	agricultural	106	112.5	6.34	Severe	42,726	4,828,827	459,817	95	661	138,160	450,656	1,134,042	571,131,933	3,331	2,081,494,167	3,554,861,312	2.02	1	2	1	18	0	0	30	72	0.05
DF_000060	Rwanda	2,024	flood	riverine	8	411	10	Catastrophic	8,245	2,283,328	290,838	153	657	80,575	224,511	363,182	148,533,062	4,700	84,843,828	1,466,404,982	1.19	0	0	1	4	0	0	35	46	0.088
DF_000061	Tanzania	2,019	flood	flash	9	420	7.11	Extreme	12,836	884,133	295,718	119	813	155,961	484,381	597,194	519,170,143	3,487	621,420,901	3,796,762,846	2.4	0	0	1	5	1	389,206,451	23	71	0.176
DF_000062	Ethiopia	2,022	drought	agricultural	282	115.5	1.85	Minor	1,286	1,689	100	27	161	36	61	19,784	5,765,968	919	12,900,040	19,082,657	0.1	0	0	1	59	1	1,176,686	13	82	0.027
DF_000063	Nigeria	2,018	drought	hydrological	363	49.5	8.23	Extreme	8,002	150,392	70,956	108	790	24,998	82,331	314,847	231,363,702	4,008	195,628,336	867,958,676	1.19	1	30	1	73	0	0	31	74	0.239
DF_000064	Ethiopia	2,021	drought	meteorological	284	69	2.46	Minor	1,032	2,131	296	27	158	129	403	34,594	4,080,721	1,249	25,136,565	29,985,252	0.1	0	0	1	45	0	0	12	84	0.061
DF_000065	Mali	2,021	flood	flash	18	576	4.78	Moderate	1,181	76,050	23,131	60	476	13,762	31,246	26,106	16,574,622	2,413	35,812,771	121,471,143	0.18	1	36	1	21	1	13,326,103	22	69	0.164
DF_000066	Senegal	2,021	drought	meteorological	262	76.5	2.32	Minor	509	15,693	1,574	34	74	502	789	12,285	2,268,081	1,160	10,339,059	15,560,454	0.1	1	3	0	0	1	1,774,046	11	93	0.038
DF_000067	Malawi	2,025	drought	agricultural	227	93	4.9	Moderate	7,992	26,380	2,167	64	194	677	2,171	125,032	57,084,209	2,469	312,672,603	379,519,106	0.24	1	18	0	0	1	33,563,844	18	92	0.032
DF_000068	DRC	2,020	flood	coastal	12	358.5	2.37	Minor	222	1,263	194	35	104	63	203	5,339	1,384,040	1,205	4,698,740	6,619,805	0.1	1	121	0	0	0	0	10	100	0.051
DF_000069	Tanzania	2,020	drought	hydrological	338	55.5	1.59	Minor	6,343	410,395	11,351	23	168	3,654	13,436	151,174	16,449,652	808	86,328,286	166,033,302	0.2	1	63	0	0	0	0	9	100	0.009
DF_000070	Nigeria	2,020	flood	coastal	3	484.5	7.78	Extreme	737	13,562	4,142	123	311	1,584	3,613	27,518	22,851,949	3,921	7,614,763	43,108,023	0.1	1	95	1	35	1	6,171,474	31	75	0.153
DF_000071	Ghana	2,023	drought	agricultural	289	106.5	7.34	Extreme	8,881	3,436,151	875,962	118	574	184,480	677,941	335,634	296,076,431	3,725	232,678,852	3,401,578,813	3.04	1	131	1	54	0	0	28	59	0.155
DF_000072	Malawi	2,022	drought	meteorological	70	70.5	9.58	Catastrophic	746	29,700	4,162	160	1,260	2,372	5,872	15,134	11,768,411	4,727	31,219,041	65,599,677	0.1	0	0	1	103	1	5,265,312	34	51	0.092
DF_000073	South Africa	2,022	flood	riverine	6	238.5	7.3	Extreme	4,391	112,911	20,568	118	666	4,211	11,958	194,816	227,251,171	3,799	56,175,429	328,314,798	0.26	1	67	1	2	0	0	27	75	0.091
DF_000074	Senegal	2,025	drought	meteorological	182	100.5	2.84	Minor	217	5,046	738	40	207	153	272	4,129	645,920	1,358	1,437,815	2,961,827	0.1	1	12	1	26	0	0	18	77	0.071
DF_000075	Rwanda	2,018	flood	riverine	15	487.5	10	Catastrophic	3,715	1,281,360	771,840	123	784	250,128	994,176	127,936	114,822,886	4,895	329,186,644	2,156,154,179	2.25	0	0	1	74	1	204,861,640	32	58	0.369
DF_000076	DRC	2,021	flood	riverine	16	331.5	3.82	Moderate	9,133	278,172	64,153	44	335	32,765	124,320	409,348	150,013,874	2,018	51,344,872	834,447,322	0.98	1	4	1	8	0	0	19	85	0.1
DF_000077	Zambia	2,018	drought	agricultural	249	73.5	2.97	Minor	5,662	207,866	39,033	40	309	11,359	40,195	211,340	100,233,615	1,444	117,288,397	325,938,219	0.49	1	56	1	16	0	0	19	84	0.083
DF_000078	Senegal	2,022	drought	meteorological	148	103.5	5.59	Severe	9,954	288,245	63,842	82	462	16,614	50,463	146,490	66,984,309	2,926	88,792,407	314,334,269	0.47	0	0	1	84	0	0	19	66	0.124
DF_000079	Uganda	2,023	flood	riverine	20	400.5	2.12	Minor	505	21,376	3,162	32	245	921	2,150	20,305	6,510,021	1,068	1,230,743	19,387,274	0.1	1	7	1	50	0	0	11	81	0.068
DF_000080	Tanzania	2,019	drought	hydrological	179	91.5	2.73	Minor	1,879	233,954	7,854	39	304	2,271	7,226	62,937	22,089,992	1,393	27,940,696	87,484,234	0.1	1	20	1	39	1	10,364,478	15	100	0.011
DF_000081	Mozambique	2,020	flood	riverine	10	192	3.35	Moderate	6,856	66,621	11,253	47	199	6,303	21,156	216,148	53,180,622	1,698	166,145,145	254,163,429	0.5	1	17	0	0	1	9,050,564	15	88	0.07
DF_000082	Mali	2,025	flood	coastal	6	306	3.12	Moderate	1,062	27,692	5,871	45	259	3,171	12,485	22,061	3,753,629	1,572	7,936,900	61,760,820	0.1	0	0	1	16	1	4,202,120	16	81	0.098
DF_000083	Tanzania	2,018	drought	hydrological	60	64.5	2.83	Minor	1,661	30,948	4,237	40	292	2,432	6,245	17,375	2,271,741	1,433	31,405,737	74,485,441	0.14	1	67	1	36	0	0	18	100	0.046
DF_000084	Senegal	2,024	flood	riverine	18	511.5	3.82	Moderate	3,068	244,220	39,648	43	139	15,134	44,046	60,907	25,464,362	1,831	102,644,706	374,934,967	0.23	1	4	0	0	1	53,939,416	15	90	0.065
DF_000085	Mali	2,018	drought	meteorological	332	76.5	4.98	Moderate	3,195	43,582	7,388	88	581	3,663	7,133	52,084	26,326,548	2,612	110,519,666	198,101,841	0.29	0	0	1	37	1	10,509,195	19	74	0.086
DF_000086	Kenya	2,019	flood	riverine	17	384	5.39	Severe	1,470	152,589	14,428	69	166	7,246	15,653	40,699	20,838,801	2,724	54,571,442	175,102,587	0.34	1	168	0	0	1	5,388,071	19	77	0.046
DF_000087	Mozambique	2,020	flood	riverine	4	163.5	1.87	Minor	1,112	71,956	7,846	25	88	3,764	9,182	12,919	3,295,384	948	2,202,225	80,385,776	0.1	1	18	1	19	1	7,286,121	12	80	0.051
DF_000088	Tanzania	2,022	drought	hydrological	331	114	6.85	Severe	10,177	567,766	169,940	98	780	55,722	185,689	286,774	202,718,353	3,291	428,912,540	918,705,255	1.59	1	40	1	13	0	0	24	67	0.166
DF_000089	Ghana	2,022	flood	flash	5	459	2.57	Minor	7,643	505,127	55,837	38	291	32,540	63,665	168,434	54,840,777	1,251	147,615,142	701,549,084	1.01	0	0	0	0	1	65,351,260	15	100	0.037
DF_000090	Mozambique	2,024	drought	agricultural	109	79.5	8.87	Extreme	3,120	611,021	227,129	156	804	85,666	225,963	44,299	34,668,503	4,230	210,808,617	1,165,843,853	1.95	1	111	1	34	0	0	34	53	0.24
DF_000091	South Africa	2,018	drought	meteorological	315	63	1.84	Minor	10,898	78,773	4,477	21	148	1,075	2,381	116,601	27,509,085	949	44,058,844	78,274,556	0.1	1	24	1	2	0	0	11	100	0.019
DF_000092	Nigeria	2,021	flood	riverine	24	466.5	3.23	Moderate	948	13,829	2,509	61	289	986	2,524	31,431	7,418,073	1,656	27,038,327	52,612,278	0.1	1	42	1	4	0	0	19	77	0.088
DF_000093	Mozambique	2,021	flood	riverine	22	576	6.93	Severe	14,934	2,927,695	631,045	106	617	289,202	470,474	314,716	346,937,923	3,523	295,419,450	4,836,140,340	3.78	1	86	0	0	0	0	29	56	0.135
DF_000094	Senegal	2,021	drought	meteorological	242	51	3.84	Moderate	8,283	209,083	45,683	65	408	23,118	89,665	314,117	176,676,899	1,950	160,474,197	626,040,569	0.74	1	116	1	21	1	42,532,211	18	94	0.082
DF_000095	Senegal	2,018	drought	agricultural	274	61.5	7.4	Extreme	2,979	364,448	108,232	124	472	51,886	134,804	65,424	54,178,852	3,777	34,478,178	518,053,169	0.96	1	18	1	65	1	58,411,289	28	67	0.164
DF_000096	Zambia	2,023	drought	hydrological	70	94.5	5.75	Severe	14,722	3,988,236	476,514	91	461	111,677	274,066	216,273	98,677,290	2,728	129,928,537	953,481,106	0.84	0	0	0	0	0	0	28	70	0.064
DF_000097	Niger	2,023	drought	hydrological	67	88.5	2.83	Minor	11,064	165,059	15,268	49	221	7,713	27,334	500,006	177,202,260	1,407	167,410,472	402,939,530	0.69	0	0	1	5	1	33,402,904	14	91	0.036
DF_000098	Senegal	2,021	flood	flash	11	259.5	1	Minor	3,672	2,646	100	13	85	29	69	68,855	9,812,596	510	19,879,082	30,178,267	0.1	0	0	1	73	0	0	9	100	0.013
DF_000099	Tanzania	2,019	drought	meteorological	176	88.5	4.78	Moderate	18,771	529,600	121,657	71	410	42,805	87,137	571,920	279,551,818	2,401	466,790,190	1,143,291,946	2.25	1	24	0	0	0	0	17	75	0.115

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⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Drought and Flood Impact - Africa

A comprehensive synthetic dataset documenting drought and flood events, their severity, impacts, and recovery metrics across Sub-Saharan African countries.

Dataset Description

This dataset provides detailed records of drought and flood events across 15 Sub-Saharan African countries. It includes event characteristics, population impacts, economic damages, early warning indicators, and recovery progress. Data is stratified by malnutrition burden levels to analyze disaster-nutrition linkages.

Key Statistics

Metric	Value
Total Records	14,998
Countries Covered	15
Time Period	2018-2025
Files	3 (high_burden, moderate_burden, low_burden)
Features	31

Countries Included

DRC, Ethiopia, Ghana, Kenya, Malawi, Mali, Mozambique, Niger, Nigeria, Rwanda, Senegal, South Africa, Tanzania, Uganda, Zambia

Column Descriptions

Column	Type	Description
record_id	string	Unique identifier (DF_XXXXXX)
country	string	African country name
year	int	Year of event (2018-2025)
event_type	string	Type of event (drought/flood)
event_subtype	string	Specific event classification
event_duration_days	int	Duration in days
rainfall_deficit_pct	float	Rainfall deviation from normal (%)
severity_index	float	Composite severity score (0-10)
severity_category	string	Severity classification
affected_area_km2	float	Geographic extent (km²)
population_affected	int	Number of people affected
population_displaced	int	Number of people displaced
deaths	int	Number of deaths
injuries	int	Number of injuries
housing_destroyed	int	Houses destroyed
housing_damaged	int	Houses damaged
agricultural_land_affected_ha	float	Agricultural land impacted (hectares)
crop_loss_value_usd	float	Value of crop losses (USD)
livestock_loss_heads	int	Livestock lost (heads)
infrastructure_damage_usd	float	Infrastructure damage (USD)
total_economic_damage_usd	float	Total economic damage (USD)
damage_gdp_pct	float	Damage as % of GDP
early_warning_issued	int	Whether early warning was issued (0/1)
warning_lead_time_hours	int	Warning lead time (hours)
emergency_response_activated	int	Emergency response status (0/1)
response_time_hours	int	Response time (hours)
international_aid_requested	int	Whether aid was requested (0/1)
international_aid_received_usd	float	International aid received (USD)
recovery_duration_months	int	Recovery duration (months)
recovery_progress_pct	float	Recovery progress (%)
long_term_displacement_risk	float	Risk of permanent displacement (0-1)

Event Types

drought (meteorological, agricultural, hydrological)
flood (flash, riverine, coastal)

Severity Categories

Minor, Moderate, Severe, Extreme, Catastrophic

Usage Example

import pandas as pd

# Load high burden dataset
df = pd.read_csv('drought_flood_impact_africa_high_burden.csv')

# Analyze by event type
event_impacts = df.groupby('event_type')['total_economic_damage_usd'].sum()
print(event_impacts)

# Filter catastrophic events
catastrophic = df[df['severity_category'] == 'Catastrophic']

# Calculate average recovery by severity
recovery_analysis = df.groupby('severity_category')['recovery_duration_months'].mean()

Research Sources

This synthetic dataset is inspired by and aligned with data from:

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