Datasets:

electricsheepafrica
/

africa-synth-disability-disability-rights-social-protection-all

record_id string	scenario string	year int64	setting string	age int64	sex string	disability_type string	severity string	disability_registered int64	disability_card int64	cash_transfer int64	health_insurance int64	ever_attended_school int64	school_completed int64	out_of_school int64	employed int64	formal_employment int64	self_employed int64	income_below_poverty int64	crpd_aware int64	dpo_member int64	voted_last_election int64	accessible_polling_station int64	discrimination_experienced int64	abuse_experienced int64	reported_discrimination int64	stigma int64	transport_barrier int64	wellbeing string	social_inclusion int64
URB-00000	urban_formal_sector	2,022	large_town	43	female	physical_mobility	severe	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	0	good	0
URB-00001	urban_formal_sector	2,012	industrial_zone	68	female	visual	moderate	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	moderate	1
URB-00002	urban_formal_sector	2,019	capital_city	56	female	hearing	moderate	0	0	0	0	1	0	0	0	0	0	1	1	0	0	0	0	0	0	0	1	good	0
URB-00003	urban_formal_sector	2,011	industrial_zone	38	male	hearing	mild	0	0	0	0	1	1	0	1	0	0	0	0	0	0	0	1	1	0	1	1	poor	1
URB-00004	urban_formal_sector	2,013	commercial_centre	31	female	hearing	moderate	0	0	0	0	1	1	0	1	1	0	0	0	0	1	0	0	1	0	0	0	poor	1
URB-00005	urban_formal_sector	2,017	capital_city	15	female	hearing	mild	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	1	poor	1
URB-00006	urban_formal_sector	2,015	large_town	29	female	physical_mobility	mild	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	moderate	0
URB-00007	urban_formal_sector	2,015	industrial_zone	22	female	physical_mobility	mild	0	0	1	0	1	1	0	0	0	0	1	1	0	0	0	0	0	0	0	1	moderate	0
URB-00008	urban_formal_sector	2,020	capital_city	31	male	other	moderate	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	poor	0
URB-00009	urban_formal_sector	2,022	capital_city	8	female	physical_mobility	severe	0	0	1	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	1	1	good	0
URB-00010	urban_formal_sector	2,014	large_town	36	male	visual	moderate	1	0	1	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	good	0
URB-00011	urban_formal_sector	2,016	large_town	24	male	mental_health	mild	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	good	0
URB-00012	urban_formal_sector	2,024	commercial_centre	57	female	multiple	severe	0	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	poor	1
URB-00013	urban_formal_sector	2,021	capital_city	14	male	physical_mobility	mild	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	good	1
URB-00014	urban_formal_sector	2,017	commercial_centre	7	male	hearing	moderate	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	good	1
URB-00015	urban_formal_sector	2,010	capital_city	0	female	physical_mobility	severe	1	0	0	0	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	1	poor	0
URB-00016	urban_formal_sector	2,010	commercial_centre	0	male	physical_mobility	mild	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	moderate	0
URB-00017	urban_formal_sector	2,017	industrial_zone	29	male	visual	mild	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	poor	0
URB-00018	urban_formal_sector	2,022	capital_city	14	female	physical_mobility	mild	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	poor	1
URB-00019	urban_formal_sector	2,016	industrial_zone	28	male	hearing	mild	0	0	0	0	0	0	0	1	0	0	1	0	0	1	0	1	0	0	0	0	good	1
URB-00020	urban_formal_sector	2,014	commercial_centre	34	female	mental_health	severe	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	1	good	1
URB-00021	urban_formal_sector	2,024	large_town	33	female	physical_mobility	mild	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	poor	0
URB-00022	urban_formal_sector	2,016	capital_city	6	female	hearing	severe	0	0	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0	0	poor	1
URB-00023	urban_formal_sector	2,010	capital_city	56	female	physical_mobility	moderate	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	good	0
URB-00024	urban_formal_sector	2,019	commercial_centre	7	female	visual	severe	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	poor	0
URB-00025	urban_formal_sector	2,015	capital_city	45	male	multiple	mild	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	good	1
URB-00026	urban_formal_sector	2,014	capital_city	13	female	visual	mild	1	1	1	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	1	1	moderate	0
URB-00027	urban_formal_sector	2,020	capital_city	35	female	physical_mobility	moderate	0	0	0	1	1	1	0	1	1	0	0	0	1	0	0	1	0	0	0	0	poor	1
URB-00028	urban_formal_sector	2,024	large_town	13	male	multiple	moderate	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	good	0
URB-00029	urban_formal_sector	2,010	commercial_centre	46	male	multiple	severe	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	moderate	0
URB-00030	urban_formal_sector	2,018	capital_city	19	female	visual	mild	0	0	0	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	1	0	poor	0
URB-00031	urban_formal_sector	2,022	capital_city	55	female	physical_mobility	severe	0	0	0	0	1	0	0	0	0	0	1	1	0	1	0	1	0	0	0	0	moderate	0
URB-00032	urban_formal_sector	2,013	capital_city	22	male	physical_mobility	mild	0	0	0	0	1	1	0	0	0	0	0	0	1	1	0	1	0	0	1	1	moderate	1
URB-00033	urban_formal_sector	2,023	large_town	14	male	visual	moderate	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	0	moderate	0
URB-00034	urban_formal_sector	2,014	capital_city	14	female	mental_health	moderate	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	poor	1
URB-00035	urban_formal_sector	2,013	commercial_centre	36	female	hearing	mild	0	0	0	1	1	0	0	0	0	0	1	0	0	1	1	1	0	0	0	1	poor	0
URB-00036	urban_formal_sector	2,017	industrial_zone	4	male	other	moderate	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	poor	0
URB-00037	urban_formal_sector	2,017	industrial_zone	16	male	hearing	mild	1	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	poor	0
URB-00038	urban_formal_sector	2,014	industrial_zone	48	female	visual	moderate	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	moderate	0
URB-00039	urban_formal_sector	2,014	industrial_zone	37	male	intellectual	moderate	0	0	0	0	1	0	0	0	0	1	1	0	0	1	0	0	0	0	1	0	moderate	0
URB-00040	urban_formal_sector	2,023	industrial_zone	4	female	physical_mobility	moderate	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	moderate	0
URB-00041	urban_formal_sector	2,015	industrial_zone	25	female	multiple	mild	0	0	1	0	1	0	0	0	0	1	0	1	0	0	0	0	1	0	0	1	poor	0
URB-00042	urban_formal_sector	2,018	industrial_zone	60	male	physical_mobility	mild	0	0	1	0	1	0	0	1	0	0	1	0	0	1	0	1	0	0	0	0	good	1
URB-00043	urban_formal_sector	2,010	industrial_zone	0	male	visual	severe	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	moderate	1
URB-00044	urban_formal_sector	2,019	capital_city	13	male	physical_mobility	mild	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	poor	1
URB-00045	urban_formal_sector	2,018	commercial_centre	13	male	visual	severe	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	poor	1
URB-00046	urban_formal_sector	2,024	commercial_centre	26	male	hearing	moderate	0	0	0	0	1	1	0	1	0	0	1	0	0	0	0	0	0	0	0	1	poor	1
URB-00047	urban_formal_sector	2,019	capital_city	19	female	intellectual	mild	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	poor	0
URB-00048	urban_formal_sector	2,016	capital_city	41	female	intellectual	severe	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	poor	1
URB-00049	urban_formal_sector	2,013	capital_city	43	male	physical_mobility	severe	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	1	good	0
URB-00050	urban_formal_sector	2,022	capital_city	23	female	intellectual	moderate	0	0	1	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	moderate	1
URB-00051	urban_formal_sector	2,016	large_town	31	male	physical_mobility	severe	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	poor	0
URB-00052	urban_formal_sector	2,023	commercial_centre	54	male	physical_mobility	moderate	0	0	0	0	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	moderate	0
URB-00053	urban_formal_sector	2,011	large_town	55	female	physical_mobility	severe	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	moderate	0
URB-00054	urban_formal_sector	2,021	capital_city	50	female	mental_health	severe	0	0	1	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	poor	1
URB-00055	urban_formal_sector	2,022	large_town	19	male	visual	mild	0	0	0	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	moderate	0
URB-00056	urban_formal_sector	2,011	capital_city	0	female	visual	moderate	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	moderate	0
URB-00057	urban_formal_sector	2,011	commercial_centre	23	female	mental_health	mild	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	1	0	1	0	1	moderate	0
URB-00058	urban_formal_sector	2,018	commercial_centre	17	male	mental_health	moderate	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	1	0	0	0	1	poor	0
URB-00059	urban_formal_sector	2,023	commercial_centre	35	male	physical_mobility	mild	0	0	0	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	poor	0
URB-00060	urban_formal_sector	2,017	commercial_centre	26	female	multiple	severe	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	poor	0
URB-00061	urban_formal_sector	2,011	large_town	30	male	mental_health	moderate	0	0	0	0	1	0	0	0	0	1	0	0	1	0	0	1	0	0	0	1	poor	1
URB-00062	urban_formal_sector	2,021	commercial_centre	7	female	mental_health	mild	0	0	1	0	1	0	0	0	0	0	1	0	0	0	0	1	0	0	1	1	good	0
URB-00063	urban_formal_sector	2,011	capital_city	18	female	physical_mobility	mild	0	0	0	0	1	0	0	0	0	0	1	1	0	1	0	1	0	0	0	1	moderate	0
URB-00064	urban_formal_sector	2,020	commercial_centre	18	female	visual	moderate	0	0	0	0	1	0	0	1	0	0	1	0	0	1	0	0	0	0	0	0	moderate	1
URB-00065	urban_formal_sector	2,018	industrial_zone	56	male	hearing	moderate	0	0	0	0	1	1	0	1	1	0	0	1	0	0	0	0	0	0	1	0	moderate	1
URB-00066	urban_formal_sector	2,023	large_town	30	female	other	mild	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	moderate	0
URB-00067	urban_formal_sector	2,019	large_town	31	female	visual	severe	0	0	0	0	1	1	0	0	0	0	1	1	0	1	1	1	0	0	1	0	good	0
URB-00068	urban_formal_sector	2,022	commercial_centre	32	male	multiple	moderate	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	poor	1
URB-00069	urban_formal_sector	2,011	large_town	9	male	physical_mobility	mild	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	poor	0
URB-00070	urban_formal_sector	2,017	large_town	24	female	physical_mobility	severe	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	poor	0
URB-00071	urban_formal_sector	2,024	capital_city	0	female	visual	mild	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	1	0	0	1	0	moderate	1
URB-00072	urban_formal_sector	2,018	capital_city	31	female	visual	moderate	1	1	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	poor	1
URB-00073	urban_formal_sector	2,024	capital_city	18	female	physical_mobility	moderate	0	0	1	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	moderate	1
URB-00074	urban_formal_sector	2,014	commercial_centre	33	female	other	mild	0	0	1	0	1	1	0	0	0	0	1	0	0	1	0	1	0	0	0	1	poor	0
URB-00075	urban_formal_sector	2,024	industrial_zone	19	female	other	moderate	0	0	0	0	1	0	0	0	0	1	1	0	0	1	0	1	0	1	0	0	poor	0
URB-00076	urban_formal_sector	2,018	large_town	18	female	mental_health	severe	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	1	0	1	1	moderate	1
URB-00077	urban_formal_sector	2,014	large_town	25	female	physical_mobility	severe	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	1	poor	0
URB-00078	urban_formal_sector	2,012	large_town	17	male	intellectual	severe	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	1	good	1
URB-00079	urban_formal_sector	2,024	commercial_centre	18	male	hearing	moderate	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	moderate	0
URB-00080	urban_formal_sector	2,013	capital_city	30	male	visual	moderate	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	poor	1
URB-00081	urban_formal_sector	2,021	commercial_centre	10	male	intellectual	mild	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	poor	0
URB-00082	urban_formal_sector	2,010	capital_city	50	female	mental_health	moderate	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	1	0	1	1	moderate	0
URB-00083	urban_formal_sector	2,024	capital_city	63	female	hearing	moderate	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	1	poor	1
URB-00084	urban_formal_sector	2,014	large_town	36	female	hearing	moderate	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	1	poor	0
URB-00085	urban_formal_sector	2,023	capital_city	34	male	physical_mobility	severe	0	0	1	1	1	1	0	0	0	0	1	1	0	0	0	0	0	0	0	1	moderate	0
URB-00086	urban_formal_sector	2,024	industrial_zone	12	male	hearing	moderate	1	1	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	poor	0
URB-00087	urban_formal_sector	2,019	industrial_zone	50	female	other	mild	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	moderate	1
URB-00088	urban_formal_sector	2,021	commercial_centre	54	female	visual	moderate	0	0	0	0	1	1	0	0	0	0	1	1	0	0	0	0	1	0	0	0	good	0
URB-00089	urban_formal_sector	2,024	commercial_centre	40	female	physical_mobility	severe	0	0	1	0	1	0	0	0	0	0	1	0	1	1	0	1	0	0	0	1	moderate	1
URB-00090	urban_formal_sector	2,023	capital_city	35	female	multiple	moderate	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0	0	1	0	moderate	0
URB-00091	urban_formal_sector	2,020	commercial_centre	20	female	physical_mobility	mild	0	0	1	0	1	1	0	1	1	0	1	0	0	0	0	0	0	0	0	1	poor	1
URB-00092	urban_formal_sector	2,011	capital_city	28	male	visual	mild	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	1	1	0	0	1	poor	0
URB-00093	urban_formal_sector	2,022	large_town	37	male	hearing	mild	0	0	0	0	1	0	0	0	0	0	1	0	1	0	0	0	0	0	0	1	poor	1
URB-00094	urban_formal_sector	2,013	industrial_zone	28	female	multiple	mild	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	1	0	0	0	0	good	0
URB-00095	urban_formal_sector	2,019	large_town	44	male	visual	moderate	0	0	0	0	1	0	0	0	0	0	1	0	0	1	0	1	0	0	1	0	good	0
URB-00096	urban_formal_sector	2,016	commercial_centre	19	female	visual	severe	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	poor	0
URB-00097	urban_formal_sector	2,012	large_town	25	male	visual	moderate	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	1	0	0	1	0	poor	0
URB-00098	urban_formal_sector	2,023	industrial_zone	38	female	intellectual	severe	1	1	1	0	0	0	0	1	0	0	1	0	0	0	0	1	1	0	1	1	poor	1
URB-00099	urban_formal_sector	2,020	large_town	13	male	multiple	mild	0	0	0	0	1	0	0	0	0	0	1	1	1	0	0	1	0	0	1	0	poor	1

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

Disability Rights & Social Protection in Sub-Saharan Africa

Abstract

Synthetic dataset modelling disability rights awareness, social protection coverage, employment, education, discrimination, and wellbeing across three socioeconomic contexts in SSA. Social protection coverage <10% for persons with disabilities; disability associated with 20% higher poverty.

Parameterization Evidence

Parameter	Value	Source	Year
46/54 African countries ratified CRPD	Rights	UN CRPD	2023
Social protection coverage <10% for PWDs in SSA	Coverage	World Bank	2023
Disability → 20% higher poverty	Poverty	World Bank	2023

Validation

Usage

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/disability-rights-social-protection", "urban_formal_sector")

References

UN CRPD. Convention on the Rights of Persons with Disabilities. 2023.
World Bank. Disability inclusion overview. 2023.
African Disability Protocol. 2018.

Citation

@dataset{electricsheepafrica_disability_rights_social_protection_2025,
  title={Disability Rights and Social Protection in Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/disability-rights-social-protection}
}

License

CC-BY-4.0

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