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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Africa Synth Climate Drought Flood Impact Africa All | Africa (Electric Sheep Africa metadata inventory)

Size category: 10K<n<100K - Formats: csv - Sector: climate_environment - Engineered by Electric Sheep Africa

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: ⚠️ 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-drought-flood-impact-africa-all.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-climate-drought-flood-impact-africa-all`
Sector	climate_environment
Topic tags	climate, environment, synthetic-data, sub-saharan-africa, drought, flood, disaster-impact, climate-disasters, synthetic
Modalities	`tabular`, `text`
Formats	`csv`
Size category	`10K<n<100K`
Countries	Africa-wide or source-defined African coverage
ISO3 coverage	`not declared`
Last modified on HF	`2026-04-14 22:52:59+00:00`
Inventory snapshot	`2026-07-16T16:00:34Z`

How To Read This Dataset

Start from the repository files and the dataset viewer when available.
Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-synth-climate-drought-flood-impact-africa-all")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
Exact schema, row counts, and source files should be inspected in the repository data files.
Metadata gaps from the inventory: country, upstream_publisher.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: Electric Sheep Africa metadata inventory
Publisher/source attribution: Public dataset metadata
License: CC BY 4.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-drought-flood-impact-africa-all
Inventory retrieved at: 2026-07-16T16:00:34Z

Suggested Analyses

Inspect schema and missingness before modeling.
Profile variables by geography, time, and subgroup columns where present.
Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_synth_climate_drought_flood_impact_africa_all_2026,
  title        = {Africa Synth Climate Drought Flood Impact Africa All | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-drought-flood-impact-africa-all},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-drought-flood-impact-africa-all}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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