Datasets:

electricsheepafrica
/

africa-synth-climate-climate-vulnerability-exposure-niger

record_id string	country string	year int64	climate_zone string	geographic_exposure_index float64	coastal_proximity int64	elevation_category string	temperature_anomaly_c float64	precipitation_variability_pct float64	extreme_heat_days_year int64	heat_stress_index float64	drought_probability float64	flood_probability float64	climate_hazard_index float64	gdp_per_capita_usd int64	agriculture_gdp_share_pct float64	infrastructure_quality_index float64	healthcare_access_index float64	early_warning_coverage_pct float64	social_protection_coverage_pct float64	adaptive_capacity_index float64	climate_policy_strength float64	ndc_ambition_score float64	climate_finance_access_million_usd int64	vulnerability_index float64	exposure_score float64	risk_category string	population_at_risk_millions float64	potential_economic_loss_pct_gdp float64
CLIM_000000	Niger	2,020	tropical_dry	0.858	0	lowland	0.84	24.8	41	1.74	0.606	0.342	0.605	1,144	23.1	0.253	0.282	25.4	12.2	0.406	0.205	0.236	108	0.95	0.732	Very_High	20.83	23.6
CLIM_000001	Uganda	2,022	highland	0.78	0	mid_elevation	0.51	23.6	45	1.62	0.599	0.296	0.573	300	25	0.523	0.474	45.1	9.8	0.582	0.553	0.592	393	0.846	0.676	High	20.3	21.9
CLIM_000002	DRC	2,021	semi_arid	0.79	1	highland	0.59	31.8	43	1.62	0.603	0.698	0.744	300	36.8	0.216	0.235	57.9	2	0.4	0.342	0.334	200	1	0.767	Very_High	21.56	25
CLIM_000003	Ghana	2,018	semi_arid	0.434	1	mid_elevation	1.11	28.3	58	2.4	0.409	0.663	0.676	1,490	15.6	0.462	0.431	29	2.6	0.476	0.578	0.752	353	0.802	0.555	High	20.37	19.2
CLIM_000004	Rwanda	2,023	tropical_dry	0.484	1	mid_elevation	1.17	31.5	44	2.05	0.374	0.602	0.606	300	28.4	0.479	0.358	33.2	8.8	0.516	0.762	0.869	435	0.763	0.545	High	16.36	20.9
CLIM_000005	Malawi	2,024	mediterranean	0.85	1	mid_elevation	0.92	22.1	48	1.99	0.521	0.498	0.64	3,304	25.5	0.29	0.485	50.2	33.4	0.641	0.416	0.393	236	0.906	0.745	Very_High	21.35	23.2
CLIM_000006	Uganda	2,025	tropical_wet	0.82	1	highland	1.08	24.8	50	2.16	0.453	0.548	0.635	5,993	11.1	0.311	0.744	50.6	48.5	0.901	0.318	0.359	247	0.817	0.728	High	19.01	18.6
CLIM_000007	South Africa	2,024	semi_arid	0.526	1	lowland	0.86	29.9	54	2.11	0.343	0.7	0.634	1,814	21.4	0.515	0.509	28.3	29.6	0.575	0.692	0.844	430	0.784	0.58	High	18.65	20
CLIM_000008	Senegal	2,020	tropical_dry	0.662	1	highland	0.85	24.2	41	1.74	0.516	0.575	0.652	5,983	17.6	0.437	0.695	30.7	45	0.705	0.576	0.545	301	0.817	0.657	High	18.09	19.9
CLIM_000009	Nigeria	2,019	tropical_wet	0.537	0	mid_elevation	0.55	27.7	34	1.34	0.33	0.394	0.444	1,004	28.9	0.405	0.416	28.2	16.3	0.497	0.282	0.229	326	0.677	0.491	Moderate	16.01	19.3
CLIM_000010	South Africa	2,019	arid	0.398	1	highland	0.77	24.4	40	1.66	0.238	0.53	0.472	1,116	27.7	0.39	0.54	38.6	2	0.446	0.893	0.764	464	0.653	0.435	Moderate	14.6	18.6
CLIM_000011	DRC	2,024	semi_arid	0.929	1	lowland	0.73	22.1	37	1.55	0.488	0.586	0.628	789	30.2	0.231	0.269	35.5	10.5	0.388	0.255	0.301	383	1	0.778	Very_High	22.58	25
CLIM_000012	Kenya	2,023	arid	0.66	0	highland	0.72	26.9	44	1.74	0.559	0.394	0.6	2,074	24.7	0.307	0.534	69.3	20.9	0.77	0.441	0.539	243	0.762	0.63	High	17.95	20.2
CLIM_000013	Nigeria	2,022	arid	0.546	0	mid_elevation	1.2	24.9	56	2.41	0.4	0.376	0.551	1,446	26.9	0.296	0.396	36.5	17.9	0.529	0.546	0.694	277	0.747	0.548	High	15.94	20.3
CLIM_000014	Uganda	2,025	semi_arid	0.765	0	highland	1.09	27.9	47	2.08	0.525	0.364	0.592	1,386	30.4	0.422	0.359	46.2	7.3	0.383	0.368	0.344	259	0.908	0.678	Very_High	21.18	24.2
CLIM_000015	Ethiopia	2,021	tropical_wet	0.757	1	mid_elevation	1.17	19.9	49	2.19	0.456	0.615	0.667	366	26	0.277	0.23	32.1	8.6	0.316	0.744	0.633	574	0.976	0.712	Very_High	23.61	24.7
CLIM_000016	Malawi	2,025	arid	0.746	1	lowland	1.11	37	52	2.23	0.548	0.698	0.756	1,097	21.1	0.26	0.557	24.3	11.7	0.455	0.444	0.625	400	0.995	0.751	Very_High	21.3	24.1
CLIM_000017	Niger	2,021	highland	0.922	1	mid_elevation	0.57	22.7	34	1.35	0.623	0.636	0.71	376	22.8	0.281	0.117	19.7	2	0.29	0.355	0.544	558	1	0.816	Very_High	23.17	24.6
CLIM_000018	Mali	2,023	tropical_dry	0.882	0	lowland	1.23	33.1	60	2.54	0.69	0.365	0.717	2,135	26.6	0.156	0.473	46.6	20	0.595	0.206	0.251	324	0.986	0.8	Very_High	21.43	25
CLIM_000019	Rwanda	2,018	tropical_dry	0.533	0	lowland	0.82	27.2	36	1.58	0.427	0.355	0.499	801	31.6	0.433	0.4	62.1	2	0.565	0.519	0.535	314	0.695	0.516	Moderate	14.89	20.2
CLIM_000020	Malawi	2,020	arid	0.678	0	mid_elevation	0.87	36.2	46	1.9	0.475	0.487	0.604	1,784	23.5	0.406	0.389	11.1	29.3	0.499	0.544	0.571	285	0.848	0.641	High	27.1	21.7
CLIM_000021	South Africa	2,021	tropical_wet	0.443	0	lowland	0.57	26.7	47	1.71	0.437	0.314	0.496	3,136	30.5	0.474	0.714	40.3	37.6	0.854	0.631	0.635	362	0.574	0.47	Moderate	12.23	17.6
CLIM_000022	Ethiopia	2,019	tropical_dry	0.794	0	mid_elevation	0.7	27.5	45	1.75	0.57	0.341	0.585	1,477	29.8	0.289	0.268	24.5	23.6	0.421	0.522	0.504	320	0.905	0.69	Very_High	23.54	24.1
CLIM_000023	Malawi	2,023	arid	0.729	1	mid_elevation	1.13	32.3	43	1.99	0.431	0.697	0.673	6,114	18.6	0.106	0.639	38.8	41.6	0.701	0.23	0.45	132	0.861	0.701	Very_High	20.45	20.9
CLIM_000024	Malawi	2,025	tropical_dry	0.812	1	highland	1.17	29.1	42	1.99	0.457	0.684	0.682	991	19.2	0.384	0.262	19.3	19.5	0.439	0.393	0.434	249	0.976	0.747	Very_High	20.6	23.4
CLIM_000025	South Africa	2,025	highland	0.513	1	mid_elevation	1.01	23.6	57	2.3	0.375	0.566	0.609	786	37.7	0.525	0.6	51.9	2	0.615	0.667	0.706	364	0.75	0.561	High	17.46	22.5
CLIM_000026	South Africa	2,020	highland	0.589	0	highland	0.42	24.3	42	1.47	0.496	0.311	0.511	346	28.4	0.407	0.607	45.2	2	0.442	0.394	0.374	221	0.761	0.55	High	18.13	20.9
CLIM_000027	Mozambique	2,020	tropical_wet	0.852	0	lowland	0.91	27.4	41	1.78	0.582	0.256	0.558	300	23.8	0.177	0.362	39	10.4	0.425	0.315	0.523	241	0.909	0.705	Very_High	19.44	22.9
CLIM_000028	Senegal	2,024	semi_arid	0.681	1	lowland	0.76	25.9	40	1.65	0.489	0.533	0.613	6,624	14.9	0.277	0.856	34.5	60	0.893	0.422	0.582	449	0.745	0.647	High	16.85	17.9
CLIM_000029	Niger	2,022	highland	1	0	highland	0.84	23.3	51	2.02	0.6	0.331	0.616	2,865	24.5	0.268	0.349	16.7	27	0.327	0.382	0.581	300	1	0.808	Very_High	22.66	24.9
CLIM_000030	Malawi	2,021	semi_arid	0.769	0	lowland	0.57	25.6	46	1.69	0.502	0.259	0.508	2,969	27.8	0.184	0.456	29.1	28.6	0.539	0.397	0.463	375	0.808	0.639	High	20.44	21.7
CLIM_000031	Kenya	2,020	mediterranean	0.539	0	mid_elevation	0.42	29.9	33	1.22	0.457	0.359	0.492	5,318	14.1	0.463	0.684	39.9	29.5	0.759	0.401	0.489	250	0.638	0.516	Moderate	13.73	15.6
CLIM_000032	Senegal	2,021	arid	0.491	0	highland	0.94	31	53	2.14	0.367	0.437	0.539	2,011	21.7	0.346	0.581	25.1	20	0.453	0.361	0.507	336	0.737	0.515	High	15.61	19.1
CLIM_000033	Mali	2,020	highland	0.844	0	highland	0.57	23.8	37	1.43	0.607	0.255	0.547	3,226	24.1	0.11	0.461	28	23.9	0.475	0.104	0.238	179	0.884	0.696	Very_High	18.78	22.5
CLIM_000034	Uganda	2,019	highland	0.654	0	highland	0.63	30.1	40	1.56	0.487	0.281	0.5	885	37.3	0.227	0.466	42.5	4.3	0.425	0.377	0.33	304	0.786	0.577	High	17.9	23.2
CLIM_000035	Mozambique	2,021	highland	0.879	0	lowland	0.71	28.1	42	1.67	0.573	0.389	0.601	1,600	33.4	0.19	0.539	52.7	28.5	0.647	0.629	0.651	399	0.889	0.74	Very_High	18.83	24.5
CLIM_000036	Senegal	2,023	arid	0.606	0	mid_elevation	1.09	27	57	2.36	0.422	0.281	0.52	932	29.8	0.228	0.34	10.6	19.8	0.358	0.342	0.421	270	0.798	0.563	High	18.02	21.9
CLIM_000037	Zambia	2,023	highland	0.696	1	highland	0.33	20.5	29	1.04	0.38	0.552	0.517	4,170	24	0.245	0.524	50.8	29.3	0.609	0.401	0.562	447	0.764	0.606	High	17.01	20.1
CLIM_000038	DRC	2,019	tropical_wet	0.779	0	lowland	0.73	24.8	46	1.8	0.438	0.343	0.515	1,007	23	0.1	0.393	27.1	7.7	0.281	0.238	0.245	431	0.889	0.647	Very_High	20.8	22.4
CLIM_000039	Nigeria	2,023	tropical_wet	0.602	0	lowland	0.82	32.4	53	2.06	0.553	0.352	0.602	300	27.6	0.236	0.53	55.4	15.6	0.609	0.642	0.662	367	0.784	0.602	High	19.12	21.2
CLIM_000040	South Africa	2,022	tropical_dry	0.426	0	lowland	1.21	26	54	2.36	0.414	0.259	0.506	2,764	11.9	0.399	0.673	43.9	3.6	0.599	0.597	0.57	551	0.645	0.466	Moderate	14.36	15.3
CLIM_000041	Nigeria	2,019	tropical_dry	0.511	0	highland	1.01	16.6	40	1.83	0.298	0.298	0.42	300	23.4	0.465	0.47	14.3	2	0.32	0.371	0.427	378	0.699	0.466	Moderate	16.05	18.7
CLIM_000042	Mali	2,025	highland	1	0	lowland	0.65	23.7	37	1.49	0.634	0.258	0.568	300	31	0.265	0.187	14.2	3.7	0.207	0.382	0.475	256	1	0.784	Very_High	21.1	25
CLIM_000043	DRC	2,021	semi_arid	0.794	0	highland	0.79	17	51	1.98	0.461	0.286	0.517	2,316	15.9	0.285	0.34	43.1	31.4	0.597	0.214	0.258	251	0.808	0.656	High	17.83	19.3
CLIM_000044	Rwanda	2,021	tropical_wet	0.503	1	lowland	0.52	30.7	35	1.34	0.476	0.683	0.647	992	17.5	0.274	0.511	24.9	14.4	0.425	0.9	0.96	647	0.825	0.575	High	18.86	20
CLIM_000045	Uganda	2,021	arid	0.591	0	lowland	1.41	32	67	2.86	0.366	0.412	0.578	2,882	26.5	0.482	0.616	26.4	27.4	0.508	0.285	0.427	313	0.791	0.584	High	20	21.1
CLIM_000046	Niger	2,024	tropical_dry	1	1	lowland	0.83	23.5	40	1.7	0.701	0.64	0.78	1,688	25.2	0.271	0.19	15.5	18.1	0.256	0.148	0.215	197	1	0.89	Very_High	21.76	25
CLIM_000047	Senegal	2,021	arid	0.618	0	mid_elevation	1.53	21.6	65	2.89	0.319	0.312	0.512	956	31.7	0.435	0.532	37.9	2	0.512	0.284	0.444	415	0.755	0.565	High	16.97	21.4
CLIM_000048	South Africa	2,022	tropical_dry	0.389	1	mid_elevation	1.16	26.5	57	2.41	0.371	0.656	0.652	1,531	29.1	0.346	0.736	41.4	5.8	0.568	0.9	0.817	456	0.741	0.52	High	16.82	20.6
CLIM_000049	Ghana	2,019	arid	0.455	1	lowland	0.96	32.9	50	2.07	0.397	0.712	0.666	300	29	0.448	0.517	53.3	2	0.537	0.664	0.796	390	0.787	0.56	High	18.3	21.5
CLIM_000050	Ghana	2,023	tropical_dry	0.511	0	mid_elevation	0.59	27.7	48	1.76	0.379	0.361	0.487	436	37.7	0.46	0.316	55	15.3	0.579	0.501	0.5	276	0.673	0.499	Moderate	17.18	21
CLIM_000051	Tanzania	2,023	tropical_dry	0.751	0	lowland	1.11	19	44	2.01	0.437	0.209	0.473	880	26.7	0.257	0.479	48.6	10.8	0.536	0.445	0.55	265	0.776	0.612	High	16.43	20.9
CLIM_000052	DRC	2,021	arid	0.873	0	lowland	1.41	12.3	50	2.39	0.518	0.202	0.542	3,285	26.7	0.235	0.351	29.3	29.8	0.507	0.41	0.516	367	0.884	0.708	Very_High	18.87	23
CLIM_000053	South Africa	2,023	semi_arid	0.423	0	highland	0.67	27.1	35	1.45	0.285	0.339	0.403	2,017	24.1	0.406	0.556	35.5	10.2	0.48	0.9	0.931	499	0.605	0.413	Moderate	12.84	16.9
CLIM_000054	South Africa	2,024	mediterranean	0.599	0	mid_elevation	0.68	26.2	40	1.6	0.526	0.339	0.549	4,601	22.8	0.602	0.862	30.8	50	0.869	0.724	0.661	660	0.673	0.574	Moderate	17.07	18
CLIM_000055	Tanzania	2,025	semi_arid	0.822	1	mid_elevation	0.9	30.2	43	1.83	0.47	0.579	0.634	3,620	28.3	0.24	0.475	34.2	35.4	0.628	0.563	0.561	291	0.893	0.728	Very_High	19.62	23.5
CLIM_000056	Niger	2,022	semi_arid	0.954	0	mid_elevation	0.55	23.6	43	1.59	0.609	0.328	0.59	675	22.7	0.219	0.236	35.8	2	0.37	0.148	0.22	117	0.99	0.772	Very_High	21.07	24.3
CLIM_000057	Niger	2,025	tropical_wet	1	0	lowland	0.83	27.1	40	1.7	0.733	0.384	0.691	300	32.9	0.159	0.265	9.1	2	0.138	0.469	0.403	403	1	0.845	Very_High	21.64	25
CLIM_000058	Tanzania	2,022	tropical_wet	0.644	1	mid_elevation	0.81	23.5	47	1.88	0.438	0.526	0.598	1,360	24.6	0.342	0.214	38	11.4	0.463	0.351	0.381	503	0.839	0.621	High	19.44	21.7
CLIM_000059	Mali	2,019	semi_arid	0.799	0	lowland	1.27	19.3	46	2.18	0.472	0.254	0.524	300	35.6	0.118	0.217	43.6	10.7	0.324	0.377	0.581	315	0.892	0.662	Very_High	19.85	25
CLIM_000060	Rwanda	2,024	tropical_dry	0.505	0	lowland	0.81	24.4	51	2	0.312	0.275	0.43	472	28.6	0.434	0.24	41	9.4	0.584	0.603	0.523	403	0.63	0.468	Moderate	13.45	18.3
CLIM_000061	Tanzania	2,019	tropical_dry	0.603	0	highland	1.21	24.8	44	2.08	0.392	0.265	0.476	824	30.4	0.212	0.282	27.2	9	0.335	0.717	0.673	498	0.773	0.54	High	16.6	21.5
CLIM_000062	Ethiopia	2,022	semi_arid	0.771	1	mid_elevation	0.96	31.4	51	2.1	0.518	0.578	0.68	3,789	27.9	0.261	0.484	54.4	37.6	0.702	0.375	0.35	378	0.883	0.726	Very_High	22.48	23.2
CLIM_000063	Nigeria	2,018	arid	0.452	0	lowland	1.22	15.6	43	2.06	0.365	0.271	0.462	1,749	32.5	0.345	0.483	33.7	17.6	0.492	0.464	0.636	283	0.655	0.457	Moderate	14.33	19.6
CLIM_000064	Ethiopia	2,021	arid	0.799	1	mid_elevation	0.64	30	37	1.48	0.507	0.568	0.626	6,106	16.1	0.32	0.645	26	35.1	0.645	0.298	0.519	285	0.873	0.712	Very_High	22.92	20.7
CLIM_000065	Mali	2,021	highland	0.973	0	highland	0.57	26.2	45	1.66	0.519	0.292	0.529	2,411	26.3	0.317	0.389	9.6	26.6	0.497	0.278	0.256	369	0.92	0.751	Very_High	19.75	23.7
CLIM_000066	Senegal	2,021	semi_arid	0.54	0	lowland	0.98	23.8	42	1.86	0.36	0.31	0.462	1,895	32.6	0.388	0.356	42.3	28.9	0.643	0.733	0.669	575	0.65	0.501	Moderate	16.68	19.5
CLIM_000067	Malawi	2,025	semi_arid	0.964	1	mid_elevation	0.97	33	54	2.19	0.577	0.616	0.735	2,316	38.6	0.253	0.339	32.9	24.3	0.481	0.632	0.594	405	1	0.849	Very_High	21.72	25
CLIM_000068	DRC	2,020	highland	0.746	0	mid_elevation	0.62	21.9	47	1.75	0.412	0.294	0.477	300	37.8	0.424	0.29	29.5	13.8	0.507	0.223	0.266	223	0.785	0.611	High	19.21	23.3
CLIM_000069	Tanzania	2,020	semi_arid	0.668	1	lowland	1	30.1	46	1.99	0.578	0.575	0.704	15,000	5	0.231	0.95	62	60	0.95	0.362	0.297	257	0.787	0.686	High	18.37	16.7
CLIM_000070	Nigeria	2,020	tropical_dry	0.495	0	highland	0.68	29	48	1.82	0.447	0.308	0.507	3,453	28.1	0.288	0.725	44.4	34.9	0.699	0.312	0.538	293	0.647	0.501	Moderate	16.11	18.6
CLIM_000071	Ghana	2,023	arid	0.596	0	mid_elevation	1.6	26.8	70	3.08	0.5	0.319	0.63	1,148	31.9	0.187	0.509	48.9	2	0.445	0.837	0.861	540	0.847	0.613	High	19.22	23.3
CLIM_000072	Malawi	2,022	semi_arid	0.8	0	highland	0.56	29.8	33	1.32	0.599	0.351	0.575	1,134	37.5	0.167	0.329	35	28	0.469	0.499	0.592	548	0.887	0.688	Very_High	22.05	25
CLIM_000073	South Africa	2,022	tropical_dry	0.555	1	lowland	1.27	24	52	2.34	0.327	0.604	0.601	789	25.5	0.467	0.541	31	20.1	0.69	0.681	0.844	349	0.741	0.578	High	16.24	19.9
CLIM_000074	Senegal	2,025	semi_arid	0.678	0	lowland	0.69	25.3	48	1.83	0.53	0.37	0.58	300	23.7	0.358	0.474	33.8	4.2	0.402	0.551	0.534	524	0.858	0.629	Very_High	18.96	21.9
CLIM_000075	Rwanda	2,018	tropical_wet	0.537	0	highland	0.78	27.4	42	1.72	0.363	0.367	0.478	4,633	21.2	0.564	0.57	37	26.6	0.711	0.442	0.603	273	0.641	0.508	Moderate	17.11	17.1
CLIM_000076	DRC	2,021	tropical_wet	0.769	1	lowland	0.72	21.1	46	1.79	0.431	0.559	0.601	1,685	29.3	0.1	0.358	29.4	17.3	0.46	0.314	0.27	263	0.895	0.685	Very_High	21.15	23.8
CLIM_000077	Zambia	2,018	semi_arid	0.642	0	lowland	1.05	20.6	40	1.86	0.454	0.337	0.526	374	26.6	0.294	0.385	5	10.9	0.281	0.41	0.346	213	0.839	0.584	High	17.86	22.1
CLIM_000078	Senegal	2,022	tropical_wet	0.684	0	mid_elevation	0.62	33.7	43	1.64	0.596	0.369	0.604	300	25.5	0.359	0.534	18.2	12.8	0.305	0.483	0.502	290	0.905	0.644	Very_High	20.96	23.2
CLIM_000079	Uganda	2,023	tropical_dry	0.783	0	lowland	0.88	35.6	48	1.96	0.573	0.43	0.639	300	32.5	0.327	0.296	23.1	32.7	0.548	0.398	0.475	258	0.903	0.711	Very_High	30.74	24.6
CLIM_000080	Tanzania	2,019	semi_arid	0.599	0	mid_elevation	0.86	30.3	42	1.78	0.378	0.406	0.507	1,244	28.4	0.189	0.579	66.4	20.2	0.649	0.267	0.393	155	0.705	0.553	High	14.92	19.8
CLIM_000081	Mozambique	2,020	tropical_wet	0.786	1	lowland	0.65	29.7	48	1.8	0.593	0.645	0.729	2,993	26	0.163	0.557	34.9	26.9	0.482	0.53	0.695	516	0.985	0.758	Very_High	21.59	24.9
CLIM_000082	Mali	2,025	highland	0.915	0	lowland	0.93	20.3	42	1.83	0.55	0.328	0.574	300	19.9	0.339	0.526	31.5	3.9	0.401	0.222	0.256	181	0.954	0.744	Very_High	22.11	23.1
CLIM_000083	Tanzania	2,018	semi_arid	0.579	0	mid_elevation	0.54	29.2	31	1.25	0.42	0.301	0.449	657	35.9	0.439	0.324	22.2	2	0.397	0.656	0.757	414	0.726	0.514	High	18.11	21.7
CLIM_000084	Senegal	2,024	tropical_dry	0.681	0	highland	0.89	23.1	42	1.8	0.45	0.315	0.51	1,518	20.3	0.269	0.61	29.6	12.9	0.455	0.439	0.433	230	0.796	0.596	High	17.5	20
CLIM_000085	Mali	2,018	tropical_dry	0.775	0	mid_elevation	1.19	30.4	48	2.18	0.565	0.315	0.601	3,723	25.4	0.437	0.573	34.7	26.8	0.655	0.398	0.593	312	0.843	0.688	High	23.79	21.9
CLIM_000086	Kenya	2,019	tropical_dry	0.586	0	mid_elevation	0.92	26.4	40	1.76	0.423	0.337	0.502	2,290	27.8	0.5	0.508	49.2	46.8	0.826	0.359	0.556	504	0.646	0.544	Moderate	14.13	18.5
CLIM_000087	Mozambique	2,020	tropical_wet	0.814	1	mid_elevation	1.11	28.3	57	2.37	0.492	0.669	0.722	2,213	15.5	0.303	0.453	12.4	19.8	0.391	0.5	0.468	256	1	0.768	Very_High	25.78	23.1
CLIM_000088	Tanzania	2,022	semi_arid	0.651	0	lowland	1.15	29.2	42	1.98	0.557	0.367	0.605	4,449	23	0.331	0.643	32.4	54.7	0.769	0.333	0.342	175	0.762	0.628	High	19.67	19.8
CLIM_000089	Ghana	2,022	highland	0.537	0	lowland	0.94	29.6	41	1.81	0.497	0.413	0.578	2,482	19	0.243	0.632	38.2	40.9	0.753	0.441	0.489	491	0.699	0.558	Moderate	15.82	17.8
CLIM_000090	Mozambique	2,024	semi_arid	0.91	1	mid_elevation	1.27	33.1	44	2.12	0.529	0.674	0.728	300	32.3	0.132	0.288	29.1	14.9	0.292	0.389	0.477	211	1	0.819	Very_High	25.48	25
CLIM_000091	South Africa	2,018	tropical_wet	0.439	0	lowland	0.42	21.3	42	1.47	0.253	0.249	0.349	543	34	0.63	0.559	27.2	2.5	0.507	0.835	0.779	475	0.567	0.394	Moderate	13.94	18.1
CLIM_000092	Nigeria	2,021	mediterranean	0.574	0	highland	0.54	25.2	46	1.67	0.417	0.33	0.489	1,833	35.3	0.292	0.518	55.3	19.7	0.604	0.619	0.69	425	0.694	0.532	Moderate	14.88	20.9
CLIM_000093	Mozambique	2,021	tropical_wet	0.85	1	mid_elevation	0.62	26.8	33	1.36	0.488	0.635	0.635	300	23.5	0.145	0.313	35.5	2	0.308	0.643	0.773	340	0.995	0.742	Very_High	21.45	24.6
CLIM_000094	Senegal	2,021	semi_arid	0.514	0	lowland	0.5	27.1	43	1.55	0.329	0.293	0.416	351	30.8	0.404	0.297	61	2	0.476	0.606	0.565	537	0.654	0.465	Moderate	14.42	19.2
CLIM_000095	Senegal	2,018	semi_arid	0.575	0	mid_elevation	0.63	22.7	48	1.78	0.488	0.303	0.525	1,633	25.9	0.509	0.556	53.9	26.1	0.645	0.625	0.745	443	0.708	0.55	High	18.72	19.3
CLIM_000096	Zambia	2,023	semi_arid	0.705	1	lowland	1.22	27.5	51	2.28	0.403	0.652	0.659	300	35.4	0.255	0.359	39.4	11.3	0.482	0.401	0.547	206	0.902	0.682	Very_High	18.97	25
CLIM_000097	Niger	2,023	arid	0.969	0	highland	0.58	32.3	39	1.5	0.638	0.317	0.595	1,399	25.7	0.23	0.1	15.5	13	0.29	0.271	0.44	189	1	0.782	Very_High	21.15	25
CLIM_000098	Senegal	2,021	highland	0.582	1	mid_elevation	0.35	26.6	38	1.31	0.327	0.537	0.5	549	33	0.518	0.222	39.8	2	0.468	0.39	0.369	417	0.743	0.541	High	18	21.5
CLIM_000099	Tanzania	2,019	arid	0.665	1	highland	1.45	17.6	62	2.75	0.352	0.585	0.635	2,363	25.8	0.278	0.495	26	24.2	0.532	0.376	0.437	208	0.855	0.65	Very_High	19.36	22.3

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Africa Synth Climate Climate Vulnerability Exposure Niger | 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. Climate Vulnerability and Exposure - Africa A comprehensive synthetic dataset assessing climate vulnerability, exposure indices, and adaptive capacity across Sub-Saharan African countries. Dataset Description This dataset provides detailed records of climate vulnerability assessments across 15 Sub-Saharan African countries.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-climate-vulnerability-exposure-niger.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-climate-climate-vulnerability-exposure-niger`
Sector	climate_environment
Topic tags	climate, environment, synthetic-data, sub-saharan-africa, climate-vulnerability, climate-adaptation, climate-risk, synthetic
Modalities	`tabular`, `text`
Formats	`csv`
Size category	`10K<n<100K`
Countries	Niger
ISO3 coverage	`NER`
Last modified on HF	`2026-04-14 22:52:45+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-climate-vulnerability-exposure-niger")
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: 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-climate-vulnerability-exposure-niger
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_climate_vulnerability_exposure_niger_2026,
  title        = {Africa Synth Climate Climate Vulnerability Exposure Niger | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-climate-vulnerability-exposure-niger},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-climate-vulnerability-exposure-niger}}
}

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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Collection including electricsheepafrica/africa-synth-climate-climate-vulnerability-exposure-niger

Niger · Country Data Coverage

Collection

543 official ML-ready Niger open-data resources, plus related Electric Sheep Africa datasets. • 1349 items • Updated 4 days ago