Datasets:

electricsheepafrica
/

africa-synth-social-protection-social-health-protection-all

id int64	ses_quintile int64	residence string	household_size int64	head_sex string	head_age int64	head_education string	has_disability int64	has_chronic_illness int64	household_income_usd int64	has_social_protection int64	protection_type string	has_health_insurance int64	sought_care int64	oop_spending_usd float64	catastrophic_expenditure int64	unmet_need int64	primary_barrier string	benefit_incidence_score float64	financial_protection_score float64	year int64
1	4	rural	6	male	53	tertiary	0	0	2,736	1	cash_transfer	1	0	0	0	0	none	0.13	1	2,023
2	4	urban	2	female	69	tertiary	0	0	2,843	1	health_insurance	0	1	58.9	0	0	none	0.2	0.73	2,023
3	4	rural	3	male	45	secondary	0	0	2,061	0	none	1	1	4.38	0	0	none	0.21	0.62	2,023
4	3	rural	2	male	53	primary	0	0	796	1	health_insurance	0	0	0	0	0	none	0.16	0.72	2,020
5	1	urban	4	female	50	primary	0	0	138	1	health_insurance	0	0	0	0	1	transport	0.2	0.54	2,021
6	2	urban	5	female	42	secondary	0	0	814	0	none	1	1	10.43	0	0	none	0.27	0.74	2,020
7	1	rural	5	female	28	secondary	0	0	524	0	none	0	0	4.17	0	1	distance	0.21	0.25	2,023
8	1	rural	6	female	26	none	0	0	211	0	none	0	0	7.06	0	1	transport	0.24	0.18	2,021
9	5	rural	8	female	44	tertiary	0	1	8,344	1	health_insurance	0	0	3.91	0	0	none	0.12	0.7	2,020
10	1	urban	3	female	26	none	0	0	168	1	health_insurance	0	1	26.93	1	0	none	0.27	0.53	2,023
11	2	rural	3	male	44	tertiary	0	0	502	0	none	0	1	91.84	1	0	none	0.16	0.17	2,020
12	3	rural	8	male	27	secondary	0	1	978	1	disability_grant	0	1	65.18	0	0	none	0.2	0.68	2,020
13	1	urban	2	male	55	primary	0	0	280	0	none	1	1	83.12	1	0	none	0.32	0.58	2,021
14	1	rural	3	female	19	secondary	0	0	240	0	none	0	0	6.54	0	1	information	0.09	0.19	2,022
15	2	urban	4	male	41	secondary	0	0	646	0	none	0	0	0	0	0	none	0.24	0.39	2,022
16	2	rural	5	female	51	tertiary	0	0	464	0	none	0	0	0	0	1	quality	0.17	0.22	2,022
17	3	rural	7	male	46	primary	0	0	1,452	0	none	0	1	17.54	0	0	none	0.17	0.39	2,020
18	5	rural	10	female	39	none	0	0	5,678	0	none	0	1	9.72	0	0	none	0.1	0.42	2,023
19	4	urban	8	female	48	none	0	0	2,990	0	none	0	1	31.86	0	0	none	0.2	0.3	2,023
20	1	rural	6	male	59	secondary	0	1	155	1	health_insurance	0	0	0	0	1	quality	0.24	0.49	2,022
21	1	urban	6	female	37	primary	0	0	373	1	cash_transfer	0	0	8.46	0	1	cost	0.18	0.52	2,022
22	2	rural	3	male	67	none	0	0	482	0	none	0	1	26.68	0	0	none	0.25	0.34	2,022
23	2	rural	9	male	56	none	0	0	499	0	none	0	1	7.12	0	0	none	0.13	0.47	2,020
24	3	urban	9	male	46	none	0	0	1,637	0	none	0	0	24.59	0	1	cost	0.19	0.21	2,021
25	1	urban	3	male	56	primary	0	0	210	0	none	0	0	0	0	1	cost	0.26	0.23	2,023
26	3	rural	8	male	46	secondary	0	0	1,344	1	food_assistance	0	1	10.99	0	0	none	0.18	0.71	2,022
27	3	rural	10	male	45	tertiary	0	0	1,701	0	none	0	1	12.56	0	0	none	0.16	0.37	2,023
28	2	rural	7	male	48	none	0	0	623	0	none	0	0	4.9	0	0	none	0.18	0.4	2,022
29	4	urban	7	male	37	primary	0	1	2,817	0	none	0	0	0	0	1	quality	0.15	0.23	2,023
30	4	rural	5	male	46	primary	0	0	2,166	0	none	0	0	7.49	0	1	quality	0.18	0.17	2,022
31	3	rural	3	female	47	primary	0	0	1,369	0	none	0	0	0	0	0	none	0.16	0.38	2,022
32	1	rural	5	male	18	none	0	0	373	1	health_insurance	0	1	16.03	0	0	none	0.17	0.73	2,021
33	2	urban	2	male	26	primary	0	0	381	1	fee_exemption	0	0	0	0	1	cost	0.24	0.44	2,021
34	4	urban	1	female	44	none	1	1	781	1	cash_transfer	0	0	16.85	0	0	none	0.19	0.68	2,023
35	2	rural	8	male	51	none	1	0	563	1	social_pension	0	0	0	0	0	none	0.27	0.7	2,020
36	4	urban	2	male	65	primary	0	0	2,431	0	none	0	1	19.27	0	0	none	0.1	0.43	2,022
37	4	urban	6	female	58	primary	0	0	2,170	0	none	1	0	0	0	1	cost	0.18	0.48	2,022
38	1	rural	4	male	18	secondary	0	0	381	0	none	0	0	5.9	0	0	none	0.18	0.38	2,020
39	4	urban	8	female	37	primary	0	0	2,600	1	health_insurance	0	1	59.66	0	0	none	0.11	0.63	2,023
40	5	urban	4	male	28	tertiary	0	0	2,268	1	health_insurance	0	0	0	0	0	none	0.08	0.64	2,019
41	1	urban	5	male	37	secondary	0	0	320	0	none	0	0	0	0	1	transport	0.32	0.19	2,019
42	2	rural	4	female	60	primary	0	0	497	0	none	0	0	0	0	1	distance	0.22	0.19	2,020
43	1	rural	5	male	53	tertiary	0	0	380	0	none	0	1	3.36	0	0	none	0.24	0.22	2,021
44	1	rural	2	female	71	secondary	0	0	291	0	none	0	1	11.75	0	0	none	0.21	0.36	2,021
45	1	urban	8	female	22	none	0	0	333	0	none	0	0	0	0	1	availability	0.26	0.27	2,021
46	4	rural	8	male	46	secondary	0	0	2,672	0	none	1	0	0	0	1	discrimination	0.16	0.49	2,020
47	2	rural	7	male	57	primary	0	1	462	0	none	0	0	0	0	0	none	0.15	0.45	2,021
48	3	urban	10	female	47	primary	0	0	1,579	0	none	0	1	33.35	0	0	none	0.13	0.42	2,023
49	1	rural	4	male	78	tertiary	0	1	267	0	none	0	0	0	0	1	information	0.25	0.19	2,022
50	3	rural	8	male	49	secondary	0	0	652	0	none	0	1	115.04	1	0	none	0.17	0.14	2,023
51	1	rural	3	male	42	primary	0	1	257	0	none	1	1	1.63	0	0	none	0.18	0.69	2,023
52	1	rural	7	male	42	none	0	1	365	0	none	0	0	5.11	0	1	cost	0.22	0.27	2,023
53	1	urban	7	male	27	primary	0	0	272	0	none	0	1	46.91	1	0	none	0.24	0.13	2,022
54	4	urban	1	male	37	secondary	0	0	3,502	0	none	0	1	164.41	0	0	none	0.26	0.34	2,022
55	1	urban	3	female	33	primary	1	0	304	0	none	0	0	0	0	1	cost	0.13	0.09	2,020
56	5	rural	5	female	49	secondary	0	0	3,546	0	none	0	1	45.47	0	0	none	0.1	0.4	2,021
57	1	urban	9	male	61	primary	0	0	227	0	none	0	1	23.8	1	0	none	0.27	0.2	2,020
58	3	rural	5	female	37	tertiary	0	1	902	0	none	0	1	90.94	1	0	none	0.07	0.1	2,021
59	1	rural	5	female	18	primary	0	0	224	1	cash_transfer	0	0	13.08	0	1	quality	0.1	0.45	2,021
60	2	rural	5	male	46	primary	0	1	457	0	none	0	1	75.89	1	0	none	0.21	0.12	2,020
61	1	urban	5	female	77	secondary	0	0	316	0	none	0	0	4.45	0	1	transport	0.21	0.23	2,023
62	1	urban	6	male	19	primary	0	0	185	1	disability_grant	0	0	0	0	0	none	0.14	0.7	2,023
63	3	rural	8	male	46	primary	0	0	920	1	health_insurance	0	1	30.25	0	0	none	0.21	0.63	2,020
64	1	urban	3	male	41	none	0	0	148	0	none	0	1	208.26	1	0	none	0.27	0.25	2,021
65	4	rural	5	female	51	tertiary	0	1	1,222	0	none	0	1	3.29	0	0	none	0.1	0.46	2,021
66	1	rural	4	female	34	none	0	0	246	0	none	0	0	0	0	1	availability	0.27	0.16	2,021
67	2	rural	5	male	41	secondary	0	0	895	0	none	1	1	12.54	0	0	none	0.23	0.71	2,023
68	4	urban	4	male	33	secondary	1	0	2,632	0	none	0	1	22.25	0	0	none	0.13	0.47	2,020
69	2	rural	4	male	53	primary	0	0	432	0	none	0	0	0	0	0	none	0.19	0.39	2,023
70	2	urban	2	male	46	primary	0	1	391	0	none	0	0	0	0	0	none	0.24	0.41	2,020
71	3	rural	4	male	34	primary	0	0	859	1	disability_grant	0	0	4.16	0	0	none	0.13	0.67	2,023
72	2	rural	6	male	55	tertiary	1	0	524	0	none	1	1	2.39	0	0	none	0.08	0.75	2,020
73	2	rural	10	male	23	none	0	0	582	0	none	0	1	28.6	0	0	none	0.2	0.4	2,023
74	2	urban	3	female	51	none	0	0	163	1	health_insurance	0	1	18.01	1	0	none	0.21	0.5	2,023
75	5	rural	7	male	42	primary	0	0	4,354	0	none	1	0	0	0	1	distance	0.16	0.41	2,022
76	5	rural	5	female	45	secondary	0	0	5,722	1	social_pension	0	0	0	0	0	none	0.13	0.62	2,022
77	3	rural	3	male	53	none	0	0	643	0	none	0	1	48.59	0	0	none	0.16	0.52	2,020
78	1	rural	7	female	34	primary	0	1	194	0	none	0	1	56.85	1	0	none	0.15	0.25	2,020
79	1	rural	3	female	42	tertiary	0	0	158	0	none	0	0	4.15	0	1	cost	0.29	0.23	2,021
80	4	rural	3	female	33	primary	0	0	2,852	0	none	0	0	3.12	0	0	none	0.13	0.35	2,021
81	2	urban	6	male	64	secondary	0	0	584	0	none	0	1	37.78	0	0	none	0.08	0.35	2,021
82	2	rural	3	male	45	secondary	0	1	495	1	food_assistance	1	0	0	0	0	none	0.18	1	2,020
83	5	rural	6	male	50	tertiary	0	0	2,022	0	none	1	1	4.33	0	0	none	0.17	0.74	2,023
84	5	rural	7	female	30	primary	0	1	3,029	0	none	1	0	0	0	1	quality	0.11	0.51	2,020
85	1	urban	3	female	50	primary	1	0	304	1	health_insurance	0	0	16.07	0	0	none	0.19	0.64	2,023
86	3	urban	3	male	36	none	0	0	749	0	none	0	0	4.28	0	0	none	0.07	0.39	2,020
87	2	rural	5	female	26	none	0	0	621	0	none	0	1	3.39	0	0	none	0.26	0.25	2,021
88	3	urban	6	female	28	primary	0	0	966	0	none	0	1	126.31	1	0	none	0.18	0.14	2,020
89	3	rural	4	female	30	none	0	0	1,180	0	none	0	0	0	0	1	transport	0.17	0.17	2,023
90	3	urban	2	male	40	primary	0	0	998	1	cash_transfer	0	0	9.52	0	1	quality	0.19	0.47	2,021
91	3	rural	2	male	24	secondary	0	1	1,418	0	none	0	0	0	0	0	none	0.29	0.38	2,021
92	3	urban	2	male	57	primary	0	0	1,317	1	health_insurance	0	1	34.22	0	0	none	0.15	0.73	2,023
93	3	rural	6	male	59	none	0	1	1,137	1	cash_transfer	1	0	16.74	0	1	cultural	0.14	0.73	2,023
94	3	urban	3	male	79	secondary	0	0	937	0	none	0	0	0	0	1	distance	0.2	0.18	2,020
95	3	urban	3	male	38	none	0	1	1,088	0	none	0	1	48.48	0	0	none	0.2	0.34	2,023
96	5	rural	10	female	18	tertiary	0	1	4,322	1	social_pension	0	0	0	0	1	quality	0.16	0.52	2,021
97	2	rural	6	male	42	primary	0	0	463	0	none	0	1	227.15	1	0	none	0.18	0.22	2,023
98	1	rural	5	male	32	none	0	0	249	0	none	0	0	3.38	0	0	none	0.25	0.42	2,022
99	4	rural	4	male	49	none	0	0	1,868	1	fee_exemption	0	1	1.32	0	0	none	0.18	0.7	2,022
100	1	urban	7	male	68	primary	0	1	196	1	fee_exemption	0	1	3.54	0	0	none	0.21	0.66	2,022

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

Social Health Protection & Equity

Abstract

This synthetic dataset models household-level social health protection and equity across three SSA scenarios. Each scenario contains 10,000 records capturing social protection coverage, insurance status, utilisation, catastrophic expenditure, unmet need, and financial protection scores.

Validation

Usage

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/social-health-protection", name="moderate_protection")
df = ds['train'].to_pandas()

References

WHO/ILO (2021). Social protection in health
Wagstaff A et al. (2018). Concentration indices. Health Economics
WHO AFRO (2023). Financial protection tracking

Citation

@dataset{electricsheepafrica_shp_2025,
  title   = {Social Health Protection and Equity Dataset},
  author  = {Electric Sheep Africa},
  year    = {2025},
  url     = {https://huggingface.co/datasets/electricsheepafrica/social-health-protection},
  license = {CC-BY-4.0}
}

License

CC-BY-4.0

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