Datasets:

electricsheepafrica
/

pharmaceutical-regulatory-capacity

id int64	country_id string	maturity_level string	WHO_region string	country_income string	population_millions float64	staff_total int64	pharmacists_on_staff int64	staff_per_million_pop float64	budget_usd_millions float64	budget_per_capita_usd float64	donor_funding_share float64	registered_products int64	new_registrations_per_year int64	dossier_backlog_months int64	median_registration_days int64	inspection_coverage_pct float64	inspections_per_year int64	GMP_compliant_manufacturers_pct float64	PMS_samples_tested_per_year int64	PMS_failure_rate_pct float64	market_surveillance_active int64	pharmacovigilance_centre int64	AEFI_reporting_rate_per_million int64	ADR_reports_per_year int64	clinical_trial_oversight int64	active_clinical_trials int64	AMRH_participation int64	digital_registration_system int64	lab_ISO_17025_accredited int64	import_control_functional int64	sf_prevalence_estimated_pct float64	regulatory_actions_per_year int64	product_recalls_per_year int64	year int64	score_registration_marketing_authorization int64	score_pharmacovigilance int64	score_market_surveillance_control int64	score_licensing_establishment int64	score_regulatory_inspection int64	score_laboratory_access_testing int64	score_clinical_trial_oversight int64	score_import_export_control int64	score_lot_release_biologicals int64	overall_regulatory_score int64
1	NRA_005	ML2	AFRO_East	upper_middle	42.6	87	34	2.04	1.07	0.0251	0.61	2,991	242	11	357	23.2	7	30.2	144	25.1	1	1	6	44	0	19	1	0	0	0	22.6	12	1	2,020	38	42	17	31	29	27	31	52	24	32
2	NRA_042	ML2	AFRO_East	lower_middle	15.4	83	39	5.39	2.06	0.1338	0.33	3,066	208	32	401	20.7	6	10.6	149	22.1	1	1	12	47	0	13	1	1	0	0	17.5	18	2	2,024	45	14	40	37	27	17	35	28	37	31
3	NRA_017	ML2	AFRO_East	lower_middle	8.9	78	41	8.76	2.09	0.2348	0.74	3,098	233	1	271	14.8	8	20	148	27.3	1	0	6	40	1	17	1	0	0	0	16.1	13	4	2,022	27	40	29	20	19	37	53	36	33	32
4	NRA_034	ML2	AFRO_East	lower_middle	23.9	84	37	3.51	2.77	0.1159	0.75	3,059	224	43	444	16.1	5	26.1	156	21.8	1	0	11	57	0	10	1	0	0	1	27	17	3	2,024	31	17	27	38	49	26	27	9	33	28
5	NRA_042	ML2	AFRO_Southern	lower_middle	13.2	77	30	5.83	0.74	0.0561	0.46	3,056	210	1	463	15.1	5	22.1	124	19.2	1	0	12	46	0	20	1	0	0	1	29.9	14	2	2,024	38	40	14	46	40	21	29	38	35	33
6	NRA_033	ML2	AFRO_Central	low_income	16.4	80	12	4.88	1.36	0.0829	0.58	2,987	234	15	356	14.5	13	34.4	165	27.9	1	1	12	64	0	19	1	0	0	0	22.2	16	3	2,023	38	35	39	54	10	27	42	16	52	34
7	NRA_027	ML2	AFRO_East	upper_middle	38.5	75	31	1.95	1.67	0.0434	0.38	3,107	235	16	310	27	10	26.3	148	15.7	1	1	9	62	1	12	1	1	0	0	22.7	9	0	2,021	32	37	44	30	41	31	33	44	11	33
8	NRA_036	ML2	AFRO_Central	low_income	3.1	96	48	30.97	2.55	0.8226	0.5	3,020	222	3	338	33	6	36.1	130	16.7	1	1	13	51	0	13	1	0	0	0	23.9	15	2	2,022	47	24	38	34	38	24	15	10	21	27
9	NRA_050	ML2	AFRO_East	lower_middle	48.7	82	29	1.68	1.34	0.0275	0.58	2,989	234	28	365	30.8	7	38	124	24.3	1	1	8	59	1	16	1	0	0	0	24.2	13	3	2,021	39	43	26	45	54	23	24	51	32	37
10	NRA_002	ML2	AFRO_East	lower_middle	64.3	87	48	1.35	1.3	0.0202	0.29	2,966	244	2	258	16.7	9	28.6	165	20.5	1	0	14	50	1	14	1	0	0	1	25.7	14	1	2,022	24	37	17	51	49	31	39	6	21	30
11	NRA_034	ML2	AFRO_Southern	low_income	99.3	78	33	0.79	2.86	0.0288	0.14	2,975	238	6	325	37.7	6	12.6	156	24.2	1	0	12	34	0	20	1	0	0	1	19.3	21	4	2,023	31	31	32	21	41	41	17	43	59	35
12	NRA_043	ML2	AFRO_West	lower_middle	17.9	85	35	4.75	1.28	0.0715	0.52	2,948	238	4	340	8.1	11	9.2	143	33.9	1	0	9	56	0	9	1	0	0	0	26.8	25	0	2,021	23	24	32	48	32	22	34	47	23	31
13	NRA_025	ML2	AFRO_West	lower_middle	33.7	91	34	2.7	0.92	0.0273	0.28	2,960	228	7	447	27.8	5	22.7	171	25.9	1	1	5	44	0	20	1	0	0	1	20.1	20	6	2,024	40	49	42	43	42	39	13	36	28	36
14	NRA_012	ML2	AFRO_Central	lower_middle	80.1	75	40	0.94	1.51	0.0189	0.47	3,013	263	14	295	23.5	5	36.9	140	22.2	1	0	10	54	0	14	1	1	0	0	19.5	14	2	2,021	21	9	12	35	35	33	49	2	39	26
15	NRA_052	ML2	AFRO_West	upper_middle	11	89	48	8.09	3.13	0.2845	0.44	3,077	232	2	317	34.7	6	30.1	144	17.1	1	1	8	43	0	12	1	0	0	0	12.5	9	7	2,021	49	29	4	14	25	28	30	35	31	27
16	NRA_031	ML2	AFRO_Southern	lower_middle	10.1	74	32	7.33	1.56	0.1545	0.58	3,081	229	1	383	30.6	8	14.6	167	21.2	1	1	10	49	1	24	1	0	0	0	16.2	12	2	2,023	49	38	30	39	0	39	0	14	40	27
17	NRA_045	ML2	AFRO_West	low_income	60.1	88	35	1.46	1.77	0.0295	0.82	2,964	238	2	353	27.2	12	8.1	168	25	1	0	12	65	0	14	1	0	0	0	26.1	17	2	2,020	43	30	44	39	20	52	28	15	22	32
18	NRA_050	ML2	AFRO_Central	low_income	16.1	69	29	4.29	1.7	0.1056	0.88	3,020	248	4	359	34.9	15	54.3	148	22.7	1	1	7	48	0	20	1	1	0	0	29.2	10	1	2,024	24	37	50	68	27	52	37	33	40	40
19	NRA_014	ML2	AFRO_Southern	lower_middle	6.6	90	33	13.64	1.18	0.1788	0.47	2,915	238	1	391	14	11	20.7	151	24.3	1	1	9	58	1	15	1	1	0	0	22.3	18	3	2,021	35	43	40	30	47	47	37	46	38	40
20	NRA_015	ML2	AFRO_Central	lower_middle	21.9	92	25	4.2	1.3	0.0594	0.63	3,059	188	5	245	23.8	10	24.9	139	23.8	1	1	15	49	1	11	1	0	0	1	16.7	11	1	2,024	26	26	24	62	38	45	29	32	26	34
21	NRA_038	ML2	AFRO_West	low_income	3.3	68	26	20.61	2.51	0.7606	0.7	2,972	243	9	292	13.2	7	43.6	166	30.4	1	1	9	48	0	16	1	0	0	1	25.9	13	2	2,021	29	34	33	24	42	42	42	53	52	39
22	NRA_006	ML2	AFRO_East	upper_middle	12.2	85	32	6.97	2.42	0.1984	0.1	3,049	261	21	370	20.6	11	34	154	8.1	1	1	14	46	1	15	1	0	0	0	21.9	16	3	2,021	12	22	45	38	39	57	40	42	67	40
23	NRA_048	ML2	AFRO_East	lower_middle	28.5	102	33	3.58	2.16	0.0758	0.4	2,924	257	4	329	20.9	6	11.5	131	26.8	1	0	16	57	0	17	1	0	0	1	22.5	9	4	2,021	12	57	42	32	41	18	49	31	32	34
24	NRA_035	ML2	AFRO_West	low_income	35	95	37	2.71	1.84	0.0526	0.71	2,976	227	5	361	22.8	8	21.7	138	13.8	1	0	10	49	1	16	1	0	0	0	29.6	21	1	2,023	30	52	33	62	36	56	39	46	26	42
25	NRA_039	ML2	AFRO_East	upper_middle	20.7	86	22	4.15	0.74	0.0357	0.52	3,081	218	2	462	29.5	8	17.6	134	16.6	1	1	10	55	0	19	1	0	0	0	24.5	12	2	2,022	45	11	14	37	26	50	31	11	19	27
26	NRA_021	ML2	AFRO_East	upper_middle	17.3	88	45	5.09	1.4	0.0809	0.12	3,008	217	20	258	15.7	10	6.2	146	18.9	1	1	8	41	0	12	1	0	0	0	14.1	12	4	2,023	8	39	49	33	41	26	33	15	6	27
27	NRA_013	ML2	AFRO_West	lower_middle	6.6	91	29	13.79	1.74	0.2636	0.53	3,038	216	4	341	38.6	7	16.9	146	13.1	1	1	11	58	1	13	1	0	0	0	27.4	18	6	2,021	35	33	49	32	26	28	50	41	30	36
28	NRA_011	ML2	AFRO_East	low_income	27.4	76	44	2.77	2.42	0.0883	0.39	3,049	231	6	419	28.6	6	32.7	166	21.3	1	0	7	56	1	17	1	0	0	0	19.7	17	4	2,024	36	27	28	42	18	47	18	27	58	33
29	NRA_005	ML2	AFRO_West	upper_middle	13.2	88	34	6.67	1.48	0.1121	0.55	2,995	255	9	448	30.1	7	17.6	142	27.5	1	0	11	53	0	17	1	1	0	0	15.9	11	5	2,023	48	38	18	37	21	52	44	36	5	33
30	NRA_004	ML2	AFRO_Southern	lower_middle	53	104	44	1.96	2.25	0.0425	0.2	3,038	243	16	333	24.6	11	24.9	141	25.3	1	0	10	43	0	13	1	0	0	0	25.7	12	4	2,024	24	27	35	45	17	19	10	35	21	25
31	NRA_010	ML2	AFRO_West	low_income	24.2	74	33	3.06	1.14	0.0471	0.42	2,991	212	13	369	22.9	10	42.1	139	29.1	1	0	11	56	0	9	1	0	0	1	19.1	14	3	2,024	33	42	21	35	36	29	40	25	41	33
32	NRA_002	ML2	AFRO_West	upper_middle	52.1	83	41	1.59	1.32	0.0253	0.16	2,996	251	4	256	21	12	3.4	156	17.6	1	1	13	46	0	20	1	0	0	1	22.8	15	2	2,022	33	29	44	32	31	36	55	18	44	35
33	NRA_042	ML2	AFRO_West	low_income	29.7	77	31	2.59	1.36	0.0458	0.34	2,988	253	2	354	19.7	5	38.5	164	15.7	1	0	10	45	1	14	1	0	0	1	21.7	20	3	2,024	29	42	30	36	43	29	46	23	38	35
34	NRA_006	ML2	AFRO_East	lower_middle	93.1	79	23	0.85	1.95	0.0209	0.74	2,999	227	1	394	20.1	9	24.6	172	20.3	1	1	7	43	0	13	1	1	1	1	22.8	15	6	2,024	45	25	13	53	38	14	26	44	31	32
35	NRA_040	ML2	AFRO_East	upper_middle	10.6	74	33	6.98	2.16	0.2038	0.57	2,962	237	3	311	25.7	11	28	137	28.3	1	1	16	51	1	16	1	1	0	1	25.7	10	3	2,024	26	28	23	50	42	42	49	68	14	38
36	NRA_044	ML2	AFRO_Southern	lower_middle	10.2	79	21	7.75	1.72	0.1686	0.43	3,024	247	28	255	25.2	5	13	141	12.7	1	1	11	47	0	13	1	0	0	0	24.2	7	3	2,023	35	35	33	27	17	36	25	36	25	29
37	NRA_029	ML2	AFRO_West	lower_middle	31.9	91	40	2.85	0.97	0.0304	0.43	3,078	225	13	311	11.1	4	24.3	160	10.1	1	1	8	49	0	14	1	0	0	1	20.9	15	0	2,020	42	45	36	0	19	57	28	11	49	31
38	NRA_047	ML2	AFRO_East	upper_middle	25.1	78	36	3.11	3.73	0.1486	0.57	3,037	250	38	314	19.9	3	19.8	147	31.7	1	0	14	49	0	17	1	0	0	0	24.1	13	2	2,024	52	37	46	24	16	38	34	29	36	34
39	NRA_010	ML2	AFRO_West	lower_middle	39.5	82	15	2.08	1.39	0.0352	0.64	2,927	244	22	371	13.1	10	38.4	151	25.9	1	1	7	55	0	16	1	0	0	0	19.4	16	4	2,023	24	21	29	32	27	42	29	46	38	32
40	NRA_054	ML2	AFRO_Central	lower_middle	31.8	83	35	2.61	1.3	0.0409	0.2	2,953	257	10	322	31.2	6	50.3	176	31.1	1	1	8	47	0	9	1	0	0	1	21.4	20	3	2,020	29	44	44	28	30	41	25	30	36	34
41	NRA_048	ML2	AFRO_East	low_income	4.3	72	27	16.74	0.93	0.2163	0.45	2,979	265	2	305	25.4	8	23.6	150	28.9	1	1	10	72	0	12	1	0	0	0	19.3	17	2	2,023	46	53	39	45	31	27	55	37	44	41
42	NRA_025	ML2	AFRO_West	lower_middle	20.3	90	20	4.43	1.38	0.068	0.65	3,061	225	12	424	19.6	8	32.4	147	25.9	1	0	11	53	0	19	1	0	0	0	26.2	25	4	2,022	62	42	52	37	34	39	25	23	50	40
43	NRA_014	ML2	AFRO_West	lower_middle	18.7	82	40	4.39	1.55	0.0829	0.6	3,055	238	2	245	35.4	8	9	149	19	1	1	10	50	0	18	1	0	0	1	19.2	12	2	2,023	23	34	35	48	49	31	32	42	27	35
44	NRA_045	ML2	AFRO_East	lower_middle	9.2	86	33	9.35	2.89	0.3141	0.18	2,958	259	8	324	27.7	8	20.2	168	18.7	1	0	8	49	0	17	1	1	0	1	20.9	13	1	2,023	32	50	12	19	22	34	30	51	46	32
45	NRA_029	ML2	AFRO_East	lower_middle	10.1	66	31	6.53	2.41	0.2386	0.47	2,939	262	8	291	23.6	4	27.1	145	22.9	1	0	9	37	0	20	1	0	0	0	20.8	10	2	2,021	32	43	39	30	15	36	47	20	42	33
46	NRA_037	ML2	AFRO_West	lower_middle	40.3	87	30	2.16	1.14	0.0283	0.13	3,058	246	22	518	30.6	7	26.1	146	19.1	1	0	8	64	0	18	1	0	0	1	18.8	14	3	2,023	12	38	18	27	30	29	28	35	28	27
47	NRA_011	ML2	AFRO_East	lower_middle	39.4	72	33	1.83	0.99	0.0251	0.28	3,017	215	1	300	29.9	9	12.5	135	25.9	1	1	6	59	0	10	1	1	0	0	18.1	13	4	2,023	26	22	12	36	8	19	28	25	39	23
48	NRA_006	ML2	AFRO_East	lower_middle	36.7	69	28	1.88	1.28	0.0349	0.39	2,958	216	5	308	33.1	7	10.6	155	31.4	1	0	11	39	1	12	1	0	0	0	18.8	19	4	2,024	49	47	25	2	13	52	30	25	54	33
49	NRA_018	ML2	AFRO_Central	lower_middle	18.1	87	38	4.81	2.01	0.111	0.55	2,983	239	11	366	26.8	8	49.4	155	19.1	1	0	9	53	1	20	1	0	0	0	19.8	10	3	2,024	63	29	25	20	62	44	30	49	43	40
50	NRA_005	ML2	AFRO_Central	upper_middle	16.2	76	38	4.69	1.35	0.0833	0.66	3,044	225	3	382	4.6	5	18.5	179	17.8	1	0	11	46	1	23	1	0	0	0	28.3	17	2	2,021	41	45	52	46	23	24	34	29	21	35
51	NRA_007	ML2	AFRO_Southern	low_income	15.6	86	55	5.51	1.61	0.1032	0.42	3,058	251	11	308	24.9	5	18.7	170	16.2	1	0	6	52	1	11	1	0	0	0	32.1	13	4	2,020	49	54	44	38	43	26	33	25	20	36
52	NRA_024	ML2	AFRO_East	lower_middle	34.8	66	30	1.9	1.47	0.0422	0.51	2,987	209	1	435	35.7	5	28.1	144	26.2	1	0	12	57	1	17	1	0	0	0	14.7	10	3	2,024	24	27	23	20	47	43	46	35	44	34
53	NRA_007	ML2	AFRO_East	lower_middle	33.2	66	30	1.99	1.98	0.0596	0.38	2,974	224	29	353	35.6	10	28.8	131	22.2	1	0	9	49	0	16	1	0	0	0	13.7	15	5	2,020	29	53	22	45	29	41	48	43	45	39
54	NRA_053	ML2	AFRO_Central	low_income	10.2	75	33	7.35	1.72	0.1686	0.26	3,064	229	4	458	16.2	7	24.5	156	27.4	1	0	9	40	0	15	1	0	0	0	19.2	13	3	2,023	32	38	29	41	28	42	40	34	29	34
55	NRA_034	ML2	AFRO_Southern	lower_middle	42.6	74	33	1.74	1.82	0.0427	0.67	2,991	221	34	350	18.3	5	35.9	151	22.3	1	0	10	50	0	10	1	1	0	1	13.9	19	5	2,023	23	35	40	44	25	30	2	27	28	28
56	NRA_001	ML2	AFRO_West	lower_middle	19.2	82	25	4.27	1.82	0.0948	0.32	3,043	256	28	359	18.9	8	30.1	159	14.3	1	1	9	51	0	14	1	0	0	0	18.4	17	5	2,023	16	34	8	10	36	30	21	35	36	25
57	NRA_023	ML2	AFRO_East	lower_middle	20.2	84	25	4.16	4.62	0.2287	0.48	3,043	223	1	475	44.8	7	24.5	149	31.7	1	0	7	42	0	15	1	0	0	0	24.5	16	5	2,023	48	35	29	45	46	50	45	47	43	43
58	NRA_047	ML2	AFRO_West	upper_middle	16.6	75	27	4.52	1.65	0.0994	0.55	3,045	236	13	288	26.6	7	37.9	178	24.2	1	1	10	64	1	12	1	0	0	1	14.3	21	2	2,022	18	46	30	45	25	37	39	33	39	34
59	NRA_050	ML2	AFRO_West	low_income	46.5	83	27	1.78	0.93	0.02	0.51	2,963	256	2	366	12.4	6	33.7	129	21.6	1	1	7	43	0	16	1	0	0	1	19.3	20	2	2,024	29	28	13	51	46	64	18	52	35	37
60	NRA_035	ML2	AFRO_West	lower_middle	65	81	37	1.25	1.1	0.0169	0.74	3,030	222	8	322	16.2	22	42.1	141	23.3	1	1	7	59	1	18	1	0	0	1	23.6	15	3	2,022	41	41	11	18	58	22	42	26	35	32
61	NRA_013	ML2	AFRO_Central	lower_middle	14	89	58	6.36	2.57	0.1836	0.87	2,953	268	1	306	17.6	3	32.2	155	24.4	1	1	8	43	1	17	1	0	0	0	21.5	16	3	2,023	69	30	35	29	29	53	26	29	15	35
62	NRA_019	ML2	AFRO_Southern	lower_middle	33.3	83	19	2.49	2.15	0.0646	0.42	2,964	246	12	351	12.3	7	36.1	162	25.8	1	1	10	54	0	13	1	0	0	0	12.7	11	2	2,020	56	29	29	53	30	43	17	32	15	33
63	NRA_005	ML2	AFRO_Southern	lower_middle	15.6	84	36	5.38	2.22	0.1423	0.08	2,946	255	9	428	17.7	12	11.5	166	21.1	1	1	11	58	0	15	1	0	1	0	22.4	13	1	2,020	42	26	18	30	36	12	21	35	30	27
64	NRA_046	ML2	AFRO_East	upper_middle	35.6	86	19	2.42	0.97	0.0272	0.51	2,929	229	5	384	13.8	5	39.8	124	17.1	1	0	5	52	0	8	1	0	0	0	18.8	14	2	2,020	64	15	22	22	17	51	64	29	19	33
65	NRA_004	ML2	AFRO_West	low_income	11.9	73	31	6.13	1.32	0.1109	0.32	2,910	226	10	405	28.5	10	33.4	164	28.5	1	1	13	63	1	12	1	0	0	0	26.9	15	7	2,021	22	16	37	37	55	26	38	38	31	33
66	NRA_027	ML2	AFRO_East	low_income	26.1	77	20	2.95	1.09	0.0418	0.34	2,969	267	29	396	18.2	6	51.9	157	20.4	1	0	11	61	0	15	1	0	0	0	23	12	6	2,024	29	42	42	26	36	61	34	26	32	36
67	NRA_008	ML2	AFRO_West	lower_middle	6.3	86	32	13.65	1.2	0.1905	0.35	2,990	228	2	402	30.9	2	17.2	139	24.1	1	0	9	44	0	15	1	0	0	0	19.6	19	5	2,023	14	29	44	62	35	25	20	41	13	31
68	NRA_028	ML2	AFRO_East	upper_middle	28.5	80	33	2.81	1.1	0.0386	0.63	3,018	252	1	321	30.5	7	13	157	21.6	1	1	6	59	1	16	1	0	1	0	23	8	6	2,023	58	33	14	30	52	39	24	26	28	33
69	NRA_025	ML2	AFRO_Central	low_income	28.9	79	35	2.73	0.88	0.0304	0.66	3,002	256	28	315	14.3	6	8	154	23.9	1	1	15	38	1	16	1	0	0	0	23.6	17	3	2,021	45	48	30	35	38	41	33	33	51	39
70	NRA_029	ML2	AFRO_Southern	upper_middle	79.5	77	34	0.97	5.55	0.0698	0.25	3,040	267	21	302	39.1	3	24.1	162	17.8	1	0	14	58	1	17	1	0	0	0	26.9	15	5	2,023	26	29	25	39	48	32	19	22	39	31
71	NRA_023	ML2	AFRO_West	upper_middle	37.1	80	24	2.16	2.63	0.0709	0.23	2,948	241	21	308	37.8	6	38.2	153	22.1	1	0	6	35	1	12	1	0	1	1	21.7	13	3	2,021	36	23	29	47	40	41	13	57	20	34
72	NRA_040	ML2	AFRO_Central	low_income	31.9	75	26	2.35	1.52	0.0476	0.32	2,998	247	6	365	10.4	6	29.1	136	11.1	1	1	15	53	0	17	1	0	0	0	14.4	17	3	2,021	43	30	31	42	15	54	37	50	22	36
73	NRA_002	ML2	AFRO_Southern	upper_middle	21.2	79	21	3.73	1.47	0.0693	0.25	2,971	241	7	445	23.6	8	34.2	158	17	1	0	13	53	0	9	1	0	0	1	26.2	15	3	2,022	22	40	35	51	35	25	32	18	39	33
74	NRA_027	ML2	AFRO_Central	upper_middle	12.2	74	31	6.07	1.75	0.1434	0.59	2,968	223	23	377	17.5	9	30.2	155	18.8	1	1	12	49	0	14	1	0	0	0	19.5	13	1	2,024	54	43	22	23	42	31	32	50	26	35
75	NRA_035	ML2	AFRO_West	upper_middle	17.7	94	27	5.31	1.7	0.096	0.34	2,962	206	27	377	42.9	1	29.4	118	16.5	1	0	7	49	0	10	1	0	0	0	17.9	16	3	2,023	40	44	19	42	26	38	32	41	36	35
76	NRA_028	ML2	AFRO_West	low_income	33.6	76	33	2.26	2.28	0.0679	0.91	3,066	248	18	342	29.7	6	27.9	136	23.8	1	1	11	47	0	10	1	0	0	0	28.5	13	3	2,024	54	1	22	67	42	21	34	35	45	35
77	NRA_001	ML2	AFRO_Central	lower_middle	37.7	83	25	2.2	0.94	0.0249	0.62	3,104	240	8	314	26.7	6	14.6	147	20.2	1	0	15	46	1	17	1	1	0	0	23.9	11	4	2,020	26	19	16	32	27	48	38	38	26	30
78	NRA_013	ML2	AFRO_East	upper_middle	35.6	80	28	2.25	0.73	0.0205	0.46	2,985	236	9	426	16.2	5	0	136	20.2	1	1	9	46	0	10	1	0	0	0	22	9	2	2,022	33	34	32	38	44	20	22	14	45	31
79	NRA_050	ML2	AFRO_East	low_income	83.8	82	39	0.98	1.01	0.0121	0.15	3,015	233	3	270	41	8	24.1	167	28.1	1	1	12	60	0	11	1	0	0	0	17.6	14	1	2,024	46	29	19	58	27	28	34	35	30	34
80	NRA_035	ML2	AFRO_West	lower_middle	23.1	76	29	3.29	1.89	0.0818	0.37	3,005	244	11	437	6.1	8	29.8	136	14.3	1	1	8	52	1	13	1	0	0	0	14.7	21	2	2,022	36	24	31	60	36	20	37	18	20	31
81	NRA_018	ML2	AFRO_West	lower_middle	31.9	83	28	2.6	1.67	0.0524	0.34	3,024	236	22	271	14	12	34.4	153	21.5	1	0	11	60	0	18	1	0	0	1	15.4	19	4	2,024	30	26	38	14	43	23	39	28	31	30
82	NRA_013	ML2	AFRO_Southern	lower_middle	91.1	76	30	0.83	2.1	0.0231	0.66	2,953	221	8	305	18.4	8	22.9	144	8.3	1	0	12	51	1	16	1	0	0	1	23.4	19	4	2,023	30	44	35	24	31	31	26	40	37	33
83	NRA_035	ML2	AFRO_West	upper_middle	10.5	75	20	7.14	0.85	0.081	0.76	3,063	243	40	335	14.6	8	24.4	144	25.6	1	1	6	53	0	18	1	0	0	0	27.1	6	0	2,021	35	34	31	30	35	35	22	44	23	32
84	NRA_024	ML2	AFRO_West	lower_middle	26.7	82	27	3.07	2.44	0.0914	0.21	2,975	242	4	318	15.2	2	33.5	128	18.3	1	1	9	47	1	10	1	0	0	1	30	14	0	2,021	45	30	31	42	32	32	35	44	54	38
85	NRA_039	ML2	AFRO_East	low_income	11.4	75	19	6.58	1.32	0.1158	0.3	2,997	228	26	360	11.3	8	37.9	150	22	1	0	14	56	0	11	1	0	0	0	21.7	11	4	2,022	61	43	33	29	23	59	32	60	51	43
86	NRA_024	ML2	AFRO_East	lower_middle	11.8	71	32	6.02	1.5	0.1271	0.5	3,093	232	22	289	19	8	20.3	145	25.7	1	0	14	47	0	16	1	1	0	0	24	18	5	2,024	32	24	39	26	32	45	26	44	44	34
87	NRA_002	ML2	AFRO_West	upper_middle	16.7	82	25	4.91	1.44	0.0862	0.49	3,032	224	27	391	34	10	32.1	157	22.6	1	1	10	47	1	19	1	0	0	1	26.6	15	3	2,023	26	34	42	39	25	25	46	49	53	37
88	NRA_018	ML2	AFRO_East	lower_middle	15.7	86	25	5.48	0.99	0.0631	0.58	3,056	280	10	268	18.5	4	31.3	151	24	1	1	4	40	0	19	1	0	0	0	18.7	23	2	2,023	46	25	34	45	11	34	29	33	28	31
89	NRA_034	ML2	AFRO_Central	lower_middle	25.4	73	42	2.87	1.5	0.0591	0.68	2,941	218	40	443	21.8	7	10	137	20.7	1	0	9	48	1	21	1	0	0	0	13.2	19	4	2,022	35	21	41	44	50	28	46	51	15	36
90	NRA_023	ML2	AFRO_Central	lower_middle	16.3	63	17	3.87	1.4	0.0859	0.6	2,935	234	3	294	35.2	5	24.9	165	21.7	1	0	9	55	0	16	1	0	0	0	26.5	16	5	2,023	46	31	29	40	30	38	22	24	42	33
91	NRA_033	ML2	AFRO_Central	lower_middle	13.1	83	39	6.34	2.06	0.1573	0.84	3,022	251	1	395	32.2	4	25.9	158	15.9	1	1	9	44	1	14	1	0	0	0	17.1	12	4	2,020	32	34	26	42	34	36	39	21	24	32
92	NRA_003	ML2	AFRO_Southern	lower_middle	7.6	80	36	10.53	0.93	0.1224	0.28	2,942	236	1	322	23.3	9	15.7	163	15.9	1	0	10	61	1	16	1	0	0	0	27.1	11	2	2,024	28	44	32	23	35	37	46	39	40	36
93	NRA_009	ML2	AFRO_Southern	lower_middle	25.3	83	36	3.28	1.45	0.0573	0.28	3,029	252	2	512	26.9	3	29.8	149	31.6	1	0	8	44	1	16	1	1	0	0	12.1	20	7	2,021	31	35	37	39	37	31	38	47	33	36
94	NRA_015	ML2	AFRO_East	lower_middle	12	85	37	7.08	1.52	0.1267	0.53	3,004	231	15	337	16.2	7	21.8	156	33	1	0	10	59	0	11	1	0	0	0	24.2	11	3	2,022	29	47	40	36	44	35	73	36	37	41
95	NRA_038	ML2	AFRO_Central	lower_middle	6.9	86	46	12.46	1.53	0.2217	0.38	2,997	224	12	399	30.2	6	38.4	151	21.1	1	0	10	58	1	19	1	0	0	0	24.9	9	2	2,024	31	16	20	28	34	56	41	24	26	30
96	NRA_040	ML2	AFRO_Central	upper_middle	20.5	73	45	3.56	1.63	0.0795	0.45	3,031	221	1	351	19.4	6	28.3	155	23.7	1	0	8	42	0	17	1	0	0	0	23	14	5	2,021	31	34	40	52	43	46	52	41	34	41
97	NRA_029	ML2	AFRO_East	low_income	6.3	82	42	13.02	2.54	0.4032	0.8	3,011	209	5	439	29.6	5	38.3	136	28.4	1	0	6	62	0	14	1	1	0	0	20.9	12	2	2,024	33	36	55	32	35	24	43	51	54	40
98	NRA_052	ML2	AFRO_West	low_income	17.8	82	33	4.61	1.58	0.0888	0.6	3,071	227	3	413	30.9	5	11.1	165	23.2	1	0	5	57	1	13	1	1	0	0	10.6	17	4	2,024	54	34	57	49	25	33	36	53	40	42
99	NRA_004	ML2	AFRO_East	low_income	57	76	19	1.33	1.11	0.0195	0.7	2,924	246	10	330	3.8	5	44.4	155	23.1	1	0	12	45	1	14	1	1	0	0	27.1	13	5	2,024	40	36	27	45	8	39	54	52	39	37
100	NRA_042	ML2	AFRO_West	lower_middle	15.8	84	39	5.32	3.52	0.2228	0.72	2,931	239	3	316	21	8	38.2	146	30.2	1	1	10	43	0	11	1	1	0	1	32.3	13	4	2,022	18	44	43	56	26	37	19	30	28	33

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Pharmaceutical Regulatory Capacity Dataset

Abstract

This dataset provides 30,000 simulated NRA capacity assessments (10,000 per scenario) across three WHO Global Benchmarking Tool maturity levels in sub-Saharan Africa. Each record represents one regulatory authority assessment with 40+ variables including staff levels, budget, 9 regulatory function scores, inspection coverage, PMS failure rates, pharmacovigilance capacity, and estimated SF prevalence. Three scenarios: ML3/ML4 advanced (score 69/100, 8% SF), ML2 developing (score 34/100, 22% SF), ML1 minimal (score 11/100, 40% SF).

This dataset is entirely simulated. It must not be used for regulatory assessment or policy decisions.

1. Introduction

The WHO Global Benchmarking Tool assesses NRA maturity on a scale from ML1 (no formal system) to ML4 (operating at advanced level). Only 4 African NRAs have achieved ML3+ status (Tanzania TMDA, Ghana FDA, Nigeria NAFDAC, Egypt EDA). Regulatory capacity directly correlates with SF medicine prevalence — countries with ML1 NRAs face SF rates of 40%+ while ML3+ countries maintain rates below 10%.

2. Parameterization Evidence (v2.0)

Parameter	Value Used	Source	Year
Only 4 African NRAs at ML3+	4	WHO GBT	2023
67% of LICs at ML1	67%	WHO landscape	2022
NRA staff range	15-250	WHO/AMRH reports	2023
SF correlation with regulation	Inverse	Lancet Commission	2017
AMRH initiative	AU/NEPAD	AMRH reports	2023

3. Schema (key columns)

Column	Type	Description
maturity_level	categorical	ML1 / ML2 / ML3_ML4
staff_total	int	Total NRA staff
budget_usd_millions	float	Annual budget
overall_regulatory_score	int	Composite score 0-100
score_[function]	int	9 regulatory function scores
inspection_coverage_pct	float	% of establishments inspected
PMS_failure_rate_pct	float	Post-market surveillance failure rate
sf_prevalence_estimated_pct	float	Estimated SF prevalence
pharmacovigilance_centre	binary	Has PV centre
WHO_listed_authority	binary	WHO-listed
lab_ISO_17025_accredited	binary	Lab accreditation

4. Validation

Validation Report

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/pharmaceutical-regulatory-capacity", "ml2_developing")
df = dataset["train"].to_pandas()
print(df[['overall_regulatory_score', 'sf_prevalence_estimated_pct']].describe())

6. Limitations

Simulated: Not from real WHO GBT assessments.
Country-level aggregation: Each record is an NRA snapshot, not granular.
Regulatory function scores independent: In reality, functions are correlated.

7. References

WHO Global Benchmarking Tool. NRA maturity levels ML1-ML4.
AMRH/AU-NEPAD. African Medicines Regulatory Harmonization.
Lancet Commission (2017). Essential Medicines — regulatory capacity and SF prevalence.
WHO (2022). Global landscape of pharmaceutical regulation.

Citation

@dataset{esa_reg_capacity_2025,
  title   = {Pharmaceutical Regulatory Capacity Dataset},
  author  = {{Electric Sheep Africa}},
  year    = {2025},
  publisher = {Hugging Face},
  url     = {https://huggingface.co/datasets/electricsheepafrica/pharmaceutical-regulatory-capacity}
}

License

CC-BY-4.0

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