Datasets:

electricsheepafrica
/

africa-synth-governance-judicial-access-indicators-all

record_id int64 1 10k	country stringclasses 13 values	year int64 2.02k 2.03k	region_type stringclasses 4 values	lawyer_density_per_100k float64 0.05 140	court_density_per_100k float64 0.01 8.48	distance_to_court_km float64 0.5 243	travel_time_hours float64 0.22 48	legal_aid_coverage_pct float64 0.1 60	legal_aid_per_capita_usd float64 0 5.34	paralegal_density_per_100k float64 0.1 383	cost_pct_monthly_income float64 10 533	bribery_rate_pct float64 5 60	trust_in_courts_pct float64 10 98	gender_access_ratio float64 0.32 1	customary_justice_use_pct float64 2 97.9	court_contact_rate_pct float64 1 36.5	wjp_rule_of_law_score float64 0.22 0.74	access_score float64 0.08 0.97	access_level stringclasses 4 values
1	DRC	2,018	peri_urban	11.09	0.93	22.9	1.44	3.5	0.005	0.5	193	44.2	16.9	0.608	22	3.3	0.37	0.39	moderate
2	Nigeria	2,023	urban	23.33	0.77	6.9	0.43	3.8	0.011	2.6	83	47.6	25.8	0.598	19.5	26.1	0.424	0.46	moderate
3	Uganda	2,019	peri_urban	4.45	0.19	27.8	1.23	4.1	0.027	0.3	165	39.4	10	0.665	21.6	10	0.367	0.343	low
4	Nigeria	2,023	remote_rural	0.53	0.04	80.1	6.45	0.1	0.013	2.3	315	35.2	13.1	0.58	79.6	7.2	0.374	0.223	low
5	Mauritius	2,022	rural	9.85	1.363	10	1.22	11.4	1.364	6.9	56	18	66.9	0.768	55.9	8.7	0.574	0.597	high
6	Mozambique	2,019	urban	4.72	0.494	3.9	0.41	5.1	0.003	1	42	50.5	10	0.641	12	15.7	0.365	0.392	moderate
7	DRC	2,021	peri_urban	15.07	0.571	10.5	0.57	1.9	0.005	1.3	26	38.4	36.6	0.514	38	24.4	0.358	0.442	moderate
8	DRC	2,018	remote_rural	0.66	0.076	127.1	9.27	0.1	0.003	0.9	327	49.4	22.2	0.606	77.8	7.3	0.396	0.164	very_low
9	Kenya	2,023	rural	3.27	0.499	28.8	2.12	2.5	0.011	2.2	100	20	70.7	0.709	75.2	19.7	0.446	0.457	moderate
10	Nigeria	2,020	rural	1.61	0.163	57	3.08	0.8	0.012	0.8	224	50.2	29.2	0.527	68.7	5.8	0.371	0.263	low
11	Nigeria	2,021	urban	28.22	0.53	7.7	0.55	7.5	0.01	0.6	81	56.2	10	0.591	11	2.3	0.432	0.45	moderate
12	Malawi	2,019	peri_urban	2.35	0.18	15.7	1.34	0.9	0.03	2.4	176	50.2	22.1	0.476	44.5	11.6	0.588	0.306	low
13	Nigeria	2,020	remote_rural	0.47	0.033	80	8.38	0.3	0.007	0.2	301	40.4	26.9	0.348	75.3	11.7	0.345	0.209	very_low
14	DRC	2,021	rural	3.12	0.116	74.8	7.85	0.7	0.005	2.5	145	28.8	44.1	0.391	45.8	13.2	0.326	0.3	low
15	Nigeria	2,019	rural	2.75	0.244	39.2	3.04	0.5	0.006	1.7	232	45.6	34	0.448	55.1	12.6	0.402	0.29	low
16	Ghana	2,025	remote_rural	0.46	0.241	83.5	11.99	0.4	0.028	3.7	229	22.3	52.7	0.513	80.2	7	0.568	0.303	low
17	Nigeria	2,020	rural	3.39	0.368	48.7	2.54	2.1	0.009	2.4	210	41.2	35.6	0.53	49.3	1	0.357	0.318	low
18	South Africa	2,019	remote_rural	1.62	0.508	91	10.08	1.4	2.589	17.5	215	18.9	96.1	0.741	64.6	6.2	0.575	0.392	moderate
19	DRC	2,022	urban	35.37	0.598	4.5	0.41	1.6	0.005	1.7	69	24.3	52.4	0.536	18.7	16.2	0.334	0.541	moderate
20	Nigeria	2,020	peri_urban	6.73	0.514	20.5	0.99	6.9	0.01	1.9	130	29.9	45.3	0.631	41.1	10.8	0.474	0.442	moderate
21	DRC	2,021	remote_rural	0.62	0.093	94.5	8.2	0.3	0.008	1.6	361	21.5	55	0.518	82	10.9	0.29	0.262	low
22	Senegal	2,023	remote_rural	0.33	0.125	58.1	5.54	0.4	0.06	3.9	220	32.3	56.8	0.465	68.9	8.4	0.597	0.307	low
23	Mozambique	2,018	rural	0.28	0.334	85.8	6.65	1	0.005	1.5	198	29.6	21.6	0.467	78.6	6	0.385	0.266	low
24	Uganda	2,022	rural	1.26	0.051	75.5	4.83	0.9	0.02	0.5	248	51.9	20.4	0.526	79.8	1	0.373	0.222	low
25	DRC	2,018	remote_rural	0.86	0.087	179.7	11.05	0.5	0.003	0.2	208	39.4	44.1	0.369	69.9	1	0.376	0.183	very_low
26	Kenya	2,018	rural	2.09	0.17	56.4	2.99	2.8	0.036	2.4	149	30.6	48.2	0.552	67.2	15.4	0.415	0.345	low
27	Nigeria	2,018	peri_urban	12.69	0.471	32.8	1.54	2.7	0.015	2	49	28.2	35.7	0.52	16.2	6.6	0.431	0.423	moderate
28	South Africa	2,019	rural	7.8	0.712	54	4	3.9	3.663	75.8	105	16.7	90.2	0.818	65.9	4.1	0.529	0.498	moderate
29	Kenya	2,020	rural	3.22	0.401	38.5	2.64	2.6	0.044	2.8	163	25.9	59.5	0.737	54.7	2.4	0.444	0.412	moderate
30	Nigeria	2,025	rural	2.56	0.301	69.6	8.32	1.2	0.012	2.3	260	49	24.9	0.566	59.7	11.2	0.405	0.257	low
31	DRC	2,025	remote_rural	0.8	0.067	126.9	12.29	0.2	0.005	1.5	251	22.3	32.8	0.437	76.3	9.2	0.359	0.219	very_low
32	Mozambique	2,018	rural	0.54	0.329	33.1	2.44	0.4	0.003	0.1	153	41.9	31.3	0.497	60.9	18.2	0.363	0.318	low
33	Tanzania	2,025	urban	9.83	1.714	1.3	0.28	13.6	0.043	0.6	83	34.9	69	0.7	16.7	13.2	0.475	0.596	high
34	Nigeria	2,023	peri_urban	11.99	0.731	2.5	0.39	6.8	0.013	0.6	181	51.7	15.8	0.578	19.6	16.4	0.405	0.405	moderate
35	Nigeria	2,022	remote_rural	0.65	0.023	77.5	9.52	0.3	0.01	0.5	124	21.2	22.4	0.407	85.7	5.7	0.442	0.28	low
36	Kenya	2,024	urban	22.29	1.996	9.5	0.7	4	0.023	1.3	140	29.3	61.9	0.863	31.4	11.4	0.45	0.599	high
37	Kenya	2,021	remote_rural	0.71	0.058	97.9	12.24	0.9	0.019	5.3	196	31.7	43.4	0.548	71.2	9.3	0.484	0.268	low
38	Nigeria	2,020	urban	28.76	0.335	2.9	0.34	6.8	0.008	0.2	35	52.5	13.8	0.655	9.8	4.4	0.369	0.469	moderate
39	Ghana	2,022	rural	1.29	0.523	24.2	2.21	3	0.034	3.2	229	22.6	44.3	0.704	50.3	3.5	0.526	0.402	moderate
40	Nigeria	2,023	remote_rural	0.52	0.07	82.7	7.96	0.1	0.015	1.5	140	36.7	36.1	0.474	85.3	11.2	0.369	0.267	low
41	Nigeria	2,023	rural	2.19	0.103	46	5.38	1.1	0.011	0.1	173	33.7	26.4	0.472	70.3	7.3	0.437	0.304	low
42	DRC	2,019	remote_rural	0.71	0.027	153.3	17.97	0.6	0.005	1.7	192	39.4	42.1	0.392	80.8	7.5	0.339	0.184	very_low
43	DRC	2,025	urban	37.48	0.319	10.2	0.61	6	0.004	0.4	102	50.9	32	0.683	23.1	9.7	0.337	0.493	moderate
44	Tanzania	2,020	rural	0.83	0.337	37.4	4.05	5.4	0.071	3.1	208	27.3	68.5	0.724	64.7	22.3	0.499	0.413	moderate
45	DRC	2,024	rural	3.84	0.21	42.1	3.36	1.6	0.003	0.7	219	22	23.2	0.508	70.7	3.8	0.331	0.331	low
46	DRC	2,020	remote_rural	0.52	0.042	161.5	13.66	0.5	0.005	1.2	124	40.6	18.2	0.468	82.2	8.1	0.27	0.179	very_low
47	Nigeria	2,018	urban	20	0.805	4.8	0.44	5.6	0.01	2	65	33.5	14.5	0.679	21.2	4.9	0.403	0.487	moderate
48	Tanzania	2,025	peri_urban	3.97	0.516	17.2	1.19	10.1	0.058	3.2	128	32.2	34.7	0.798	30.9	18.9	0.444	0.456	moderate
49	Nigeria	2,022	rural	2.55	0.107	55.6	4.67	1.6	0.014	0.9	172	22.3	32.5	0.538	56.8	9.3	0.437	0.33	low
50	Kenya	2,019	remote_rural	0.93	0.113	173.2	33.12	0.6	0.021	5.4	152	22	63	0.681	85.5	21.3	0.482	0.275	low
51	Ghana	2,018	remote_rural	0.33	0.163	68.9	8.27	1.3	0.028	0.8	162	35.7	43.5	0.693	68	4.5	0.546	0.318	low
52	South Africa	2,019	remote_rural	1.39	0.254	81.4	9.72	2.6	2.561	101.2	179	17	70.1	0.713	65.5	10.1	0.576	0.376	low
53	DRC	2,019	rural	3.81	0.137	71.8	3.41	0.5	0.007	2.4	218	39.3	18.4	0.569	29	14.4	0.327	0.265	low
54	Nigeria	2,025	rural	2.11	0.256	83.2	5.25	1.3	0.009	0.7	231	37.9	16.2	0.558	72.7	13.4	0.419	0.255	low
55	DRC	2,019	remote_rural	0.76	0.059	60.6	7.74	0.2	0.006	0.7	364	35	36.6	0.6	73.6	4.1	0.416	0.261	low
56	DRC	2,019	remote_rural	0.49	0.052	144.6	18.81	0.2	0.008	2.5	349	17.9	48.2	0.381	97.7	6.8	0.354	0.197	very_low
57	Nigeria	2,024	remote_rural	0.59	0.068	142.2	11.96	0.5	0.005	0.3	400	46.7	20.3	0.441	96.3	20.6	0.358	0.122	very_low
58	Nigeria	2,025	remote_rural	0.58	0.082	174.6	15.34	0.2	0.009	1.2	295	40.8	31.3	0.335	63.1	7.1	0.421	0.145	very_low
59	Kenya	2,019	remote_rural	0.71	0.109	121.4	48	0.8	0.016	2.9	227	37	28.7	0.525	68.8	2.3	0.435	0.214	very_low
60	Rwanda	2,023	urban	17.92	7.195	4.5	0.46	30.5	0.352	292.4	51	15.5	82.5	0.92	12.6	20.3	0.648	0.838	high
61	Nigeria	2,022	peri_urban	14.28	0.633	13.6	1.14	4.8	0.016	2.6	80	34.4	32.5	0.636	40.1	13.3	0.411	0.458	moderate
62	Nigeria	2,022	remote_rural	0.5	0.034	142.4	16.21	0.4	0.006	1.1	251	52.5	19.4	0.473	90.7	16.9	0.372	0.142	very_low
63	Nigeria	2,020	rural	2.73	0.109	82.2	5.08	0.9	0.008	0.4	230	47.4	10	0.579	57.2	20.7	0.438	0.229	low
64	DRC	2,024	urban	18.34	0.509	5.7	0.6	9.9	0.004	0.8	142	47.9	19.9	0.691	29.5	9.1	0.31	0.455	moderate
65	Nigeria	2,025	rural	2.44	0.175	33.5	1.86	1.3	0.006	1.4	134	31.6	41.1	0.459	79.8	12.7	0.413	0.347	low
66	Nigeria	2,023	rural	2.32	0.109	29.8	2.06	0.9	0.013	1.4	196	46.1	10.2	0.637	56.1	11.6	0.412	0.295	low
67	Nigeria	2,025	remote_rural	0.64	0.06	77	8.87	0.3	0.008	2.5	227	37.4	26.9	0.499	88.3	8.8	0.437	0.248	low
68	Tanzania	2,018	remote_rural	0.23	0.059	111.4	11.56	0.6	0.044	1.6	145	26.9	46.4	0.648	86.6	13.2	0.492	0.283	low
69	South Africa	2,023	urban	98.89	4.816	0.8	0.24	32.3	2.777	122.7	26	17.9	75.9	1	24.4	15.1	0.61	0.94	high
70	Nigeria	2,025	rural	2.13	0.106	40	3.52	0.5	0.006	2.7	211	55.9	22.1	0.615	70.4	10	0.423	0.272	low
71	Ghana	2,022	urban	21.54	2.763	4.2	0.45	12.8	0.049	4.6	78	26.8	29.5	0.89	15.8	9.7	0.57	0.671	high
72	Nigeria	2,025	remote_rural	0.34	0.027	98.8	42.53	0.1	0.01	1.5	204	53.7	28.4	0.412	79.9	9.4	0.418	0.193	very_low
73	Uganda	2,020	urban	7.67	1.329	5.5	0.5	5.3	0.014	1.2	54	44.6	24.8	0.556	2.4	8.4	0.409	0.456	moderate
74	Ghana	2,025	rural	1.37	0.21	29.3	2.7	3.1	0.037	4.3	176	25.5	47.5	0.506	52.6	16.4	0.549	0.371	low
75	South Africa	2,025	rural	6.81	0.781	39.9	2.79	7.9	1.863	7	160	16.3	76.4	0.761	51.9	3.7	0.573	0.502	moderate
76	Tanzania	2,022	rural	0.79	0.11	55.9	3.62	4.4	0.028	3.1	129	28.3	41.2	0.617	54.2	14.2	0.442	0.354	low
77	Tanzania	2,023	rural	1.27	0.589	50	3.13	1.1	0.044	5.1	130	23.5	37.5	0.614	56.5	3.6	0.466	0.372	low
78	Nigeria	2,022	rural	2.74	0.105	83.9	5.41	0.6	0.015	0.8	214	25.3	33.3	0.597	74.7	9.4	0.444	0.291	low
79	Nigeria	2,020	rural	2.87	0.112	61.4	6.43	0.2	0.021	1.1	159	50.7	25.2	0.502	46.2	18.9	0.411	0.263	low
80	DRC	2,022	urban	42.64	1.316	7.3	0.83	4.8	0.006	0.8	111	39.1	43.2	0.742	12.8	15.9	0.361	0.59	high
81	Nigeria	2,025	peri_urban	9.98	0.409	17.2	0.96	3	0.013	2.8	184	46	21.1	0.571	23.3	15.6	0.419	0.363	low
82	Nigeria	2,018	rural	2	0.09	12.7	1.35	1.2	0.009	1	126	27.8	28.2	0.562	84.9	5.8	0.392	0.367	low
83	DRC	2,019	peri_urban	13.04	0.395	22.4	1.17	6.1	0.004	0.5	126	39.5	33.7	0.488	44.2	9.6	0.324	0.408	moderate
84	Kenya	2,021	rural	3.01	0.614	43	22	3.3	0.027	4.6	191	22	58.4	0.714	55.3	5.7	0.446	0.418	moderate
85	South Africa	2,020	peri_urban	33.72	2.922	6.4	0.54	11.8	1.343	14	56	21.2	74.9	0.842	44.3	17.5	0.567	0.762	high
86	Botswana	2,022	remote_rural	1.33	0.521	43.4	4.03	2	1.21	20.9	168	9.4	80	0.719	72.6	11.2	0.615	0.449	moderate
87	DRC	2,020	urban	33.78	0.834	3	0.37	5.8	0.004	0.6	78	48.4	28.9	0.762	27.2	8.3	0.373	0.528	moderate
88	Nigeria	2,023	rural	1.84	0.211	36.8	2.24	0.7	0.012	2.1	152	21.1	34.5	0.531	81.4	8.4	0.439	0.355	low
89	Kenya	2,018	urban	36.35	1.291	4.7	0.5	22.8	0.024	4.1	64	24	43.6	0.749	15.5	13	0.514	0.699	high
90	Nigeria	2,020	rural	2.17	0.101	57.6	4.21	0.8	0.008	0.1	400	40.2	28.3	0.518	64.7	11.1	0.472	0.241	low
91	Kenya	2,023	peri_urban	20.52	1.491	12.6	0.87	4.4	0.019	3	81	38.4	48.9	0.794	45	13	0.451	0.544	moderate
92	Nigeria	2,021	rural	2.8	0.262	20.7	2.45	1.7	0.008	0.5	202	34.7	30.2	0.601	46.9	12.1	0.408	0.351	low
93	Nigeria	2,023	peri_urban	11.15	0.636	20.4	0.93	2.8	0.02	0.2	140	23	30	0.409	33.4	13.8	0.372	0.413	moderate
94	Nigeria	2,023	rural	2.68	0.137	66.4	3.09	0.5	0.007	0.1	204	46	13.8	0.578	48.8	5.2	0.444	0.255	low
95	Tanzania	2,020	rural	0.68	0.376	18.1	1.87	2.7	0.034	3.1	192	27.4	52	0.772	74.4	6.8	0.426	0.411	moderate
96	Nigeria	2,021	remote_rural	0.44	0.07	126.9	11.84	0.3	0.013	2.5	238	43.3	25.8	0.485	90.6	10.2	0.37	0.184	very_low
97	Senegal	2,025	rural	1.19	0.181	32.2	2.09	4.2	0.025	2.7	201	23.9	49.5	0.687	71.8	7.4	0.547	0.39	moderate
98	South Africa	2,025	rural	8.58	1.095	21.2	1.49	8.1	2.529	18.9	112	5.2	92.7	0.792	76.4	20.1	0.584	0.591	high
99	Kenya	2,018	remote_rural	0.81	0.15	171.3	11.2	0.5	0.025	6	234	36.3	46.3	0.613	94.8	1.4	0.445	0.213	very_low
100	Mozambique	2,023	peri_urban	2.62	0.744	17.2	5.28	3.5	0.005	1.9	175	38	33.5	0.646	43.3	7.7	0.418	0.395	moderate

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

African Judicial Access Indicators

Abstract

A synthetic dataset modeling subnational judicial access indicators across 13 sub-Saharan African countries (2018–2025), parameterized from the World Justice Project Rule of Law Index, Afrobarometer surveys, national legal aid reports, and peer-reviewed geospatial studies. Contains 10,000 records per scenario across three scenarios (baseline, improved_access, constrained), with 20 variables covering distance to courts, lawyer density, legal aid coverage, cost of justice, bribery rates, trust in courts, gender access ratios, and composite access classifications. Designed for ML classification, policy simulation, and access-to-justice research.

1. Introduction

Access to justice remains profoundly unequal across sub-Saharan Africa. Lawyer density ranges from 0.80 per 100,000 (Burkina Faso) to 45.21 per 100,000 (Mauritius). In Kenya, 1.7 million people live more than 100 km from the nearest court. Ghana's Legal Aid Commission employs just 35 lawyers for over 30 million citizens, while 52% of Africa's poorest citizens report courts are too expensive to use. No equivalent ML-ready dataset exists on HuggingFace for these indicators, creating a gap for DFIs, World Bank teams, GovTech startups, and policy researchers working on SDG 16.3 (access to justice for all).

Rwanda's Abunzi mediation system — with 38,000+ community mediators — demonstrates that innovative community-based models can dramatically improve access, reducing court caseloads by 85% and achieving 78% citizen satisfaction. This dataset captures such heterogeneity across countries and intervention models.

2. Methodology

2.1 Target Population

Subnational (region-level) annual records for 13 SSA countries across four region types (urban, peri-urban, rural, remote rural), spanning 2018–2025.

Countries: South Africa, Botswana, Mauritius, Rwanda (high-access); Kenya, Ghana, Tanzania, Senegal (moderate-access); Nigeria, DRC, Uganda, Malawi, Mozambique (low-access).

2.2 Variable Selection

Variables follow the UNDP/UNODC Access to Justice framework and World Justice Project civil justice indicators, adapted for SSA contexts with additions for customary justice, gender equity, and community-based justice mechanisms.

2.3 Epidemiological Parameterization

Parameterization Evidence Table

Parameter	Value Used	Source	DOI/URL	Year	Note
Kenya avg distance to court	22 km	Benyawa, J. of African Law	10.1017/S0021855323000219	2023	Geospatial analysis
Kenya pop >100km from court	1.7M (3.5%)	Benyawa	Cambridge UP	2023	Northeastern counties worst
SA lawyer density	37.04/100K	World Pop Review	worldpopulationreview.com	2026	~28,000 attorneys + advocates
Mauritius lawyer density	45.21/100K	World Pop Review	worldpopulationreview.com	2026	Highest in Africa
Ghana Legal Aid lawyers	35 for 30M+ people	ResearchGate policy brief	researchgate.net	2022	16% district coverage
Rwanda Abunzi mediators	38,000+	ACCORD Monograph	accord.org.za	2012	85% court caseload reduction
SA legal aid cost for poor	250% of monthly income	Soboka, SA J. Human Rights	10.1080/02587203.2019.1662326	2019	R1,500 fee on R600 income
Courts too expensive (poor)	52%	Afrobarometer R6	afrobarometer.org	2017	vs 24% for non-poor (2.17× ratio)
Bribery rate (courts)	30% SSA avg	Afrobarometer R6	afrobarometer.org	2017	42% poorest vs 26% wealthiest
Trust in courts	53% SSA avg	Afrobarometer	afrobarometer.org	2017	Tanzania 88%; S. Africa 25%
Women's legal rights	64% of men's	World Bank WBL	worldbank.org	2022	140 years to close gap in SSA
Customary justice use	80-90% rural Malawi	UNODC	unodc.org	2014	Dominant in rural SSA
Court contact rate	13% SSA avg	Afrobarometer	afrobarometer.org	2017	Sierra Leone: urban 14%, rural 5%
Malawi legal aid caseload	480 cases/practitioner	Nation Online Malawi	nationonlineng.net	2023	65 practitioners for 31,335 cases
SA Legal Aid offices	128 (64+64 satellite)	Legal Aid SA Annual Report	nationalgovernment.co.za	2022/23	ZAR 1.72B budget
Nigeria legal problems	81% experience 1+/year	HiiL JNS Nigeria	hiil.org	2023	Only 5% seek lawyers
DRC pre-trial detention	73% of prison pop	International Bridges to Justice	ibj.org	2023	Extreme access failure

2.4 Scenario Design

Scenario	Description	Key Adjustments	Access Score (mean)
baseline	Current SSA access landscape	All multipliers at 1.0×	~0.38
improved_access	Active legal aid/reform investment	Legal aid 1.5×, paralegals 2×, cost 0.7×	~0.41
constrained	Fiscal austerity / conflict degrading access	Legal aid 0.5×, distance 1.2×, cost 1.5×	~0.35

2.5 Generation Process

DAG-based sampling with 18 steps following topological order. Key features:

Region type determines urban/rural gradient for most access indicators
Country tier (high/moderate/low) sets baseline parameters
Bribery→Trust inverse relationship (r ≈ −0.77) from Afrobarometer data
Court contact rate derived from distance, cost, and trust with independent noise
Composite access score weighted across 8 normalized indicators
Rwanda Abunzi system modeled as special case for paralegal density (~270/100K)

3. Dataset Description

3.1 Schema

Column	Type	Units	Range	Description
record_id	int	—	1–10,000	Unique identifier
country	categorical	—	13 countries	SSA country
year	int	year	2018–2025	Observation year
region_type	categorical	—	4 types	urban, peri_urban, rural, remote_rural
lawyer_density_per_100k	float	lawyers/100K	0.01–150	Lawyers per 100,000 population
court_density_per_100k	float	courts/100K	0.01–15	Courts per 100,000 population
distance_to_court_km	float	km	0.5–300	Average distance to nearest court
travel_time_hours	float	hours	0.1–48	Average travel time to court
legal_aid_coverage_pct	float	%	0.1–60	Population with access to legal aid
legal_aid_per_capita_usd	float	USD	0.001–10	Legal aid expenditure per capita
paralegal_density_per_100k	float	/100K	0.05–400	Community paralegals per 100K
cost_pct_monthly_income	float	%	5–700	Legal costs as % of monthly income
bribery_rate_pct	float	%	1–70	% reporting court bribery
trust_in_courts_pct	float	%	10–98	% expressing trust in courts
gender_access_ratio	float	ratio	0.30–1.0	Women's access / men's access
customary_justice_use_pct	float	%	1–99	% using customary/traditional justice
court_contact_rate_pct	float	%	1–40	% with court contact in past 5 years
wjp_rule_of_law_score	float	score	0.15–0.90	WJP Rule of Law Index score
access_score	float	score	0–1	Composite access score (8 indicators)
access_level	categorical	—	4 levels	high (≥0.55), moderate (0.38–0.55), low (0.22–0.38), very_low (<0.22)

3.2 Classification Criteria

Class	Criteria	Real-World Analogue
high	access_score ≥ 0.55	South Africa, Mauritius urban centers
moderate	0.38 ≤ score < 0.55	Kenya/Ghana county headquarters
low	0.22 ≤ score < 0.38	Nigerian/Ugandan rural districts
very_low	score < 0.22	DRC/Mozambique remote rural areas

3.3 Summary Statistics (baseline)

Variable	Mean	SD	Min	Max
lawyer_density_per_100k	9.4	15.9	0.05	140.3
distance_to_court_km	47.1	43.3	0.5	242.7
travel_time_hours	4.6	5.5	0.2	48.0
legal_aid_coverage_pct	4.8	7.3	0.1	60.0
cost_pct_monthly_income	164.0	93.1	6.0	535.0
bribery_rate_pct	33.7	11.6	5.0	60.0
trust_in_courts_pct	40.7	19.7	10.0	98.0
gender_access_ratio	0.61	0.13	0.32	1.0
court_contact_rate_pct	10.1	5.7	1.0	34.7
access_score	0.38	0.16	0.07	0.96

4. Validation

4.1 Prevalence Fidelity

All access level distributions pass within expected ranges across all three scenarios. Cross-scenario monotonicity confirmed: improved_access (0.41) > baseline (0.38) > constrained (0.35).

4.2 Correlation Structure

Pair	Target r	Observed r	Status
lawyer_density ↔ court_density	0.55	0.69	PASS
distance ↔ court_contact	−0.25	−0.33	PASS
bribery ↔ trust	−0.65	−0.77	PASS
cost ↔ court_contact	−0.20	−0.35	PASS
legal_aid ↔ access_score	0.70	0.83	PASS

4.3 Diagnostic Plots

5. Usage

5.1 Loading with HuggingFace datasets

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/african-judicial-access-indicators")
ds_crisis = load_dataset("electricsheepafrica/african-judicial-access-indicators", "constrained")

5.2 Loading directly from CSV

import pandas as pd
df = pd.read_csv("data/baseline.csv")

5.3 Regenerating with custom parameters

pip install numpy pandas scipy matplotlib
python generate_dataset.py --scenario baseline --n 10000 --seed 42
python validate_dataset.py

6. Limitations & Ethical Considerations

Synthetic data: Not suitable for policy decisions, legal proceedings, or official reporting. Use for ML training, methodology development, and research only.
Distance data: Rigorous geospatial measurement exists only for Kenya (Benyawa 2023). Other country distances are modeled from regional averages and tier-based estimation.
Lawyer density concentration: DRC's national figure (13.93/100K) masks extreme concentration in Kinshasa; the subnational variation model partially addresses this but may underestimate capital-region disparities.
Legal aid coverage: Percentages are author estimates based on budget/capacity data rather than direct household-level measurement.
Informal justice under-measured: Customary and traditional justice handles 40-90% of disputes in many countries but is poorly quantified in official statistics.
Gender data gaps: Country-specific gender-disaggregated access data is limited; the gender_access_ratio is modeled from global indices rather than direct measurement.
Temporal simplification: COVID-19 impacts on court access (2020-2021) are not explicitly modeled.
No individual-level data: Records represent subnational aggregate indicators, not individual experiences.

7. References

Benyawa, L. (2023). "How Far Are Kenya's Courts?" Journal of African Law, Cambridge UP. DOI: 10.1017/S0021855323000219
Soboka, T. (2019). "What does justice cost in South Africa?" SA Journal on Human Rights, 35(3). DOI: 10.1080/02587203.2019.1662326
Bilchitz, D. & Williams, M. (2020). "Access to justice for all." PER/PELJ, 23.
Cambridge UP (2018). Community Paralegals and the Pursuit of Justice.
World Justice Project (2025). WJP Rule of Law Index 2025.
UNODC (2011). Access to Legal Aid in Criminal Justice Systems in Africa.
UNDP (2014). Legal Aid Service Provision: A Guide on Programming in Africa.
UNODC (2014). Handbook on Improving Access to Legal Aid in Africa.
Afrobarometer (2017). "Access to justice is still elusive for many Africans." Policy Paper No. 39.
Legal Aid South Africa (2023). Annual Report 2022/23.
HiiL (2023). Justice Needs and Satisfaction Survey: Nigeria.
UN Women (2021). Multi-Country Study on Access to Justice for Women and Girls in ESA.
World Bank (2019). A Tool for Justice: Cost-Benefit Analysis of Legal Aid.
ACCORD (2012). Local Conflict Resolution in Rwanda: The Case of Abunzi Mediators.
Brookings Institution (2022). "Women and access to justice in Africa."
World Population Review (2026). "Lawyers per Capita by Country."
NYU CIC (2023). "Small is beautiful, but scale is necessary." Policy Brief.

Citation

@dataset{esa_judicial_access_2026,
  title={African Judicial Access Indicators},
  author={{Electric Sheep Africa}},
  year={2026},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/african-judicial-access-indicators},
  license={CC-BY-4.0}
}

License

CC-BY-4.0

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