Datasets:

electricsheepafrica
/

africa-synth-wash-wash-equity-inequalities-africa-all

household_id stringlengths 8 8	country stringclasses 14 values	year int64 2.02k 2.03k	location stringclasses 2 values	wealth_quintile stringclasses 5 values	wealth_numeric int64 1 5	household_size int64 3 11	gender_head stringclasses 2 values	water_service_level stringclasses 5 values	sanitation_service_level stringclasses 5 values	primary_water_collector stringclasses 6 values	time_water_collection_minutes float64 0 179	rounds_per_day int64 0 4	total_collection_time_minutes float64 0 716	time_poverty bool 2 classes	education_impact_children stringclasses 4 values	disability_in_household bool 2 classes	facility_accessible_disability bool 2 classes	dignity_concerns_reported bool 2 classes	safety_concerns_night bool 2 classes	wait_time_shared_facility_minutes int64 0 29	water_equity_gap_percentage float64 0 56	sanitation_equity_gap_percentage float64 0 74	compound_inequality bool 2 classes	progress_towards_universal_access float64 30 77.5
HH000001	Rwanda	2,020	urban	richer	4	5	male	safely_managed	unimproved	on_premises	0	0	0	false	none	false	false	true	true	0	8	11	false	69
HH000002	Uganda	2,022	urban	poorest	1	7	male	limited	unimproved	girl_child	24	4	96	false	misses_school	false	false	false	false	0	28	45	false	42
HH000003	Mali	2,021	rural	middle	3	6	female	unimproved	safely_managed	adult_woman	102	3	306	true	none	false	false	false	false	0	37	51	false	54.5
HH000004	Ghana	2,018	rural	middle	3	10	male	surface_water	basic	adult_woman	118	4	472	true	none	false	true	false	false	0	33	52	false	49
HH000005	Rwanda	2,023	urban	middle	3	8	male	surface_water	safely_managed	adult_woman	83	3	249	true	none	false	false	false	false	0	20	22	false	66.5
HH000006	Ethiopia	2,024	urban	middle	3	5	female	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	true	false	false	0	20	32	false	56
HH000007	Uganda	2,025	rural	poorest	1	9	male	unimproved	unimproved	adult_woman	55	3	165	true	none	false	false	false	false	0	53	68	true	44.5
HH000008	Mozambique	2,024	rural	middle	3	5	male	safely_managed	limited	on_premises	0	0	0	false	none	false	false	true	false	5	26	36	true	55
HH000009	Zambia	2,020	urban	poorer	2	11	female	basic	limited	on_premises	0	0	0	false	none	false	false	false	false	21	31	35	false	46
HH000010	Nigeria	2,019	rural	poorer	2	4	male	limited	limited	adult_woman	19	4	76	true	none	false	false	false	false	10	46	47	false	37.5
HH000011	Mozambique	2,019	rural	middle	3	7	female	safely_managed	basic	on_premises	0	0	0	false	none	false	true	false	false	0	27	38	false	44.5
HH000012	DRC	2,024	rural	richest	5	9	male	limited	open_defecation	adult_woman	28	1	28	false	none	false	false	false	false	0	16	19	true	56
HH000013	Kenya	2,023	rural	poorer	2	4	female	safely_managed	unimproved	on_premises	0	0	0	false	none	false	false	false	true	0	38	64	true	49.5
HH000014	Nigeria	2,022	rural	richest	5	4	male	surface_water	open_defecation	girl_child	122	1	122	true	misses_school	false	false	false	true	0	17	33	false	55
HH000015	Uganda	2,025	rural	middle	3	7	female	surface_water	safely_managed	adult_woman	148	4	592	true	none	false	true	false	false	0	38	51	true	43.5
HH000016	Tanzania	2,021	rural	poorer	2	3	female	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	true	false	false	0	48	45	false	39.5
HH000017	Ethiopia	2,025	rural	richer	4	5	male	safely_managed	limited	on_premises	0	0	0	false	none	false	false	false	false	12	19	41	true	48.5
HH000018	Rwanda	2,021	urban	richer	4	7	male	safely_managed	safely_managed	on_premises	0	0	0	false	none	true	false	false	false	0	16	15	false	68.5
HH000019	Niger	2,023	urban	richest	5	7	female	basic	safely_managed	on_premises	0	0	0	false	none	false	false	false	false	0	0	0	false	62.5
HH000020	Senegal	2,018	urban	middle	3	7	male	safely_managed	unimproved	on_premises	0	0	0	false	none	false	false	true	true	0	18	30	false	54
HH000021	Malawi	2,020	rural	richer	4	6	male	basic	basic	on_premises	0	0	0	false	none	false	false	false	false	0	29	43	false	51
HH000022	Mozambique	2,021	rural	richest	5	11	male	limited	limited	girl_child	39	3	117	false	late_for_school	false	false	false	false	5	12	31	false	58.5
HH000023	Ethiopia	2,019	urban	poorest	1	4	male	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	true	false	false	0	29	45	false	46.5
HH000024	Ethiopia	2,023	rural	richer	4	4	male	safely_managed	limited	on_premises	0	0	0	false	none	false	false	true	false	13	29	37	false	60.5
HH000025	Ethiopia	2,025	urban	poorer	2	11	male	surface_water	limited	adult_woman	145	2	290	false	none	false	false	false	false	15	33	34	false	60.5
HH000026	Mozambique	2,025	urban	richer	4	3	male	basic	unimproved	on_premises	0	0	0	false	none	false	false	false	false	0	4	5	false	60.5
HH000027	Mozambique	2,020	urban	middle	3	7	male	surface_water	safely_managed	girl_child	144	1	144	false	misses_school	true	false	false	false	0	23	24	false	57
HH000028	DRC	2,020	rural	poorer	2	3	male	basic	unimproved	on_premises	0	0	0	false	none	false	false	true	false	0	47	60	true	43
HH000029	Senegal	2,024	rural	middle	3	6	male	limited	basic	adult_woman	20	1	20	false	none	false	true	false	false	0	33	36	false	49
HH000030	Niger	2,022	urban	richer	4	11	male	basic	open_defecation	on_premises	0	0	0	false	none	false	false	true	true	0	7	20	false	66
HH000031	Ethiopia	2,021	rural	richest	5	3	male	safely_managed	basic	on_premises	0	0	0	false	none	false	false	false	false	0	11	19	true	65.5
HH000032	Kenya	2,020	urban	richest	5	3	female	basic	basic	on_premises	0	0	0	false	none	false	true	false	false	0	7	1	false	65
HH000033	Senegal	2,021	rural	richer	4	5	male	safely_managed	basic	on_premises	0	0	0	false	none	false	true	false	false	0	27	42	false	52.5
HH000034	Mali	2,020	urban	middle	3	7	female	safely_managed	safely_managed	on_premises	0	0	0	false	none	true	false	false	false	0	20	28	false	62
HH000035	Uganda	2,019	urban	poorest	1	6	male	surface_water	open_defecation	adult_woman	90	4	360	true	none	true	false	true	true	0	36	43	false	50.5
HH000036	DRC	2,021	urban	poorer	2	10	female	basic	basic	on_premises	0	0	0	false	none	false	false	false	false	0	24	37	false	46.5
HH000037	Zambia	2,023	rural	poorer	2	11	male	safely_managed	unimproved	on_premises	0	0	0	false	none	false	false	true	false	0	44	46	false	49.5
HH000038	Zambia	2,023	urban	middle	3	10	male	basic	limited	on_premises	0	0	0	false	none	false	false	true	false	27	13	31	false	59.5
HH000039	Mali	2,019	rural	poorer	2	3	female	basic	open_defecation	on_premises	0	0	0	false	none	false	false	true	false	0	37	54	true	49.5
HH000040	Nigeria	2,023	rural	poorer	2	10	male	safely_managed	unimproved	on_premises	0	0	0	false	none	false	false	false	false	0	47	54	false	41.5
HH000041	Mozambique	2,022	urban	richest	5	6	male	safely_managed	limited	on_premises	0	0	0	false	none	false	false	true	false	21	7	10	false	70
HH000042	Nigeria	2,019	urban	middle	3	7	female	basic	open_defecation	on_premises	0	0	0	false	none	false	false	false	true	0	22	20	false	61.5
HH000043	Niger	2,025	urban	poorest	1	11	male	limited	open_defecation	adult_woman	28	3	84	true	none	true	false	true	false	0	33	40	false	57.5
HH000044	Mali	2,021	rural	richer	4	6	male	surface_water	unimproved	girl_child	144	1	144	false	late_for_school	false	false	false	false	0	22	41	false	47.5
HH000045	Rwanda	2,021	rural	poorer	2	6	male	limited	unimproved	adult_woman	53	3	159	true	none	false	false	false	false	0	39	47	false	43.5
HH000046	Uganda	2,021	rural	poorest	1	8	female	unimproved	open_defecation	adult_woman	50	2	100	true	none	false	false	true	true	0	49	64	true	34.5
HH000047	Rwanda	2,024	urban	poorest	1	11	male	basic	limited	on_premises	0	0	0	false	none	false	false	false	false	10	27	42	false	46
HH000048	Zambia	2,021	rural	middle	3	11	female	safely_managed	basic	on_premises	0	0	0	false	none	false	false	false	false	0	39	51	false	53.5
HH000049	Mozambique	2,022	urban	richest	5	4	female	surface_water	safely_managed	adult_woman	177	4	708	true	none	false	false	false	false	0	2	8	false	69
HH000050	Nigeria	2,019	rural	middle	3	9	male	limited	open_defecation	adult_man	34	2	68	true	none	false	false	true	false	0	37	38	false	49.5
HH000051	Ghana	2,023	urban	middle	3	6	female	safely_managed	open_defecation	on_premises	0	0	0	false	none	false	false	true	true	0	19	33	false	55.5
HH000052	Tanzania	2,023	urban	poorest	1	8	male	limited	unimproved	adult_man	17	1	17	false	none	false	false	true	true	0	30	35	false	52.5
HH000053	Mali	2,021	rural	poorest	1	8	female	unimproved	unimproved	adult_woman	112	1	112	true	none	true	false	false	true	0	49	59	false	42.5
HH000054	Mozambique	2,023	rural	poorest	1	4	female	surface_water	limited	boy_child	60	4	240	true	misses_school	false	false	true	false	26	52	73	false	32.5
HH000055	Mozambique	2,024	urban	poorer	2	8	male	limited	basic	girl_child	16	1	16	false	none	false	true	false	false	0	25	37	false	48
HH000056	Ghana	2,025	rural	richer	4	3	female	safely_managed	open_defecation	on_premises	0	0	0	false	none	true	false	false	true	0	19	38	false	48.5
HH000057	Rwanda	2,022	rural	richest	5	4	female	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	false	false	false	0	21	29	true	55
HH000058	Rwanda	2,025	rural	poorest	1	10	male	basic	limited	on_premises	0	0	0	false	none	false	false	false	false	21	50	68	false	38.5
HH000059	Tanzania	2,022	rural	poorer	2	9	female	limited	open_defecation	adult_woman	21	2	42	false	none	false	false	true	false	0	39	62	false	50
HH000060	Niger	2,019	rural	poorer	2	5	male	limited	limited	girl_child	18	3	54	true	none	false	false	false	false	17	35	45	true	36.5
HH000061	Rwanda	2,024	urban	poorer	2	5	female	unimproved	unimproved	adult_woman	35	2	70	true	none	false	false	false	true	0	29	33	false	60
HH000062	Tanzania	2,019	urban	richer	4	3	male	safely_managed	limited	on_premises	0	0	0	false	none	false	false	false	false	10	8	5	false	66.5
HH000063	Tanzania	2,022	rural	richer	4	4	male	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	false	false	false	0	31	34	false	59
HH000064	Nigeria	2,018	rural	middle	3	11	male	surface_water	basic	boy_child	126	3	378	true	tired_at_school	false	false	false	false	0	32	48	false	46
HH000065	Ethiopia	2,021	rural	poorest	1	4	male	surface_water	open_defecation	adult_man	101	4	404	true	none	true	false	true	false	0	56	57	true	40.5
HH000066	Niger	2,021	urban	richer	4	3	male	unimproved	unimproved	girl_child	102	3	306	true	tired_at_school	false	true	true	false	0	7	16	false	57.5
HH000067	Senegal	2,021	rural	richest	5	9	female	limited	safely_managed	adult_woman	45	1	45	false	none	true	true	false	false	0	19	29	false	61.5
HH000068	Malawi	2,025	rural	poorest	1	9	female	unimproved	limited	adult_woman	92	3	276	true	none	false	false	false	false	22	55	71	false	44.5
HH000069	Mali	2,020	urban	richest	5	5	male	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	true	false	false	0	1	5	false	62
HH000070	Tanzania	2,020	rural	poorest	1	11	female	surface_water	open_defecation	adult_man	84	1	84	false	none	true	false	false	true	0	50	60	true	40
HH000071	Nigeria	2,020	urban	richest	5	11	male	basic	safely_managed	on_premises	0	0	0	false	none	true	false	false	false	0	0	10	false	72
HH000072	Nigeria	2,023	rural	poorer	2	5	female	safely_managed	unimproved	on_premises	0	0	0	false	none	false	false	true	false	0	44	61	true	50.5
HH000073	Malawi	2,022	rural	poorest	1	5	male	safely_managed	limited	on_premises	0	0	0	false	none	true	false	false	false	10	48	60	true	38
HH000074	Mozambique	2,022	urban	middle	3	11	male	basic	basic	on_premises	0	0	0	false	none	false	false	false	false	0	20	18	false	53
HH000075	Zambia	2,025	rural	richer	4	3	female	unimproved	open_defecation	girl_child	51	1	51	false	none	false	false	true	true	0	27	35	true	54.5
HH000076	Rwanda	2,018	rural	poorest	1	8	female	basic	basic	on_premises	0	0	0	false	none	false	true	false	false	0	53	70	true	41
HH000077	Mali	2,021	rural	poorer	2	11	male	unimproved	basic	girl_child	38	1	38	false	tired_at_school	false	true	false	false	0	46	61	true	46.5
HH000078	Zambia	2,018	rural	richest	5	10	male	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	false	false	false	0	11	15	false	61
HH000079	Senegal	2,022	rural	poorest	1	7	male	limited	unimproved	adult_woman	30	1	30	false	none	false	false	true	false	0	46	70	true	39
HH000080	Uganda	2,023	urban	poorer	2	6	female	safely_managed	unimproved	on_premises	0	0	0	false	none	true	false	true	true	0	25	28	false	59.5
HH000081	Tanzania	2,019	rural	richer	4	4	female	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	true	false	false	0	23	37	true	56.5
HH000082	DRC	2,020	rural	poorer	2	6	male	safely_managed	unimproved	on_premises	0	0	0	false	none	false	true	false	false	0	36	46	false	49
HH000083	Niger	2,025	urban	richest	5	9	male	safely_managed	open_defecation	on_premises	0	0	0	false	none	false	false	true	false	0	0	5	false	69.5
HH000084	Tanzania	2,018	rural	middle	3	4	female	safely_managed	unimproved	on_premises	0	0	0	false	none	false	true	false	true	0	26	40	false	43
HH000085	Senegal	2,024	urban	poorer	2	3	female	unimproved	basic	adult_man	37	1	37	true	none	false	false	false	false	0	19	31	false	49
HH000086	Mali	2,018	urban	poorer	2	7	female	limited	basic	boy_child	52	1	52	true	tired_at_school	false	false	false	false	0	28	29	false	51
HH000087	Kenya	2,019	urban	poorer	2	3	male	surface_water	unimproved	hired	90	4	360	true	none	false	false	true	true	0	31	43	false	51.5
HH000088	DRC	2,020	rural	poorest	1	10	female	safely_managed	basic	on_premises	0	0	0	false	none	false	false	false	false	0	56	55	false	31
HH000089	Ghana	2,022	rural	middle	3	5	male	safely_managed	limited	on_premises	0	0	0	false	none	false	false	true	false	14	32	52	false	42
HH000090	Nigeria	2,022	urban	richer	4	5	male	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	true	false	false	0	5	19	false	62
HH000091	DRC	2,024	rural	poorer	2	9	female	basic	basic	on_premises	0	0	0	false	none	false	false	false	false	0	37	60	false	47
HH000092	Mozambique	2,018	rural	poorest	1	4	female	unimproved	open_defecation	adult_man	65	3	195	true	none	false	false	true	false	0	54	64	true	33
HH000093	Nigeria	2,021	urban	poorer	2	9	female	safely_managed	basic	on_premises	0	0	0	false	none	false	true	false	false	0	26	26	true	59.5
HH000094	DRC	2,021	rural	poorest	1	3	male	unimproved	open_defecation	adult_woman	48	2	96	true	none	false	false	true	false	0	54	74	false	33.5
HH000095	Zambia	2,021	rural	richest	5	10	male	safely_managed	safely_managed	on_premises	0	0	0	false	none	false	false	false	false	0	19	29	true	56.5
HH000096	Zambia	2,018	rural	middle	3	7	male	basic	unimproved	on_premises	0	0	0	false	none	false	false	false	true	0	39	45	false	44
HH000097	Malawi	2,023	rural	poorer	2	8	male	basic	unimproved	on_premises	0	0	0	false	none	false	false	false	false	0	43	53	true	46.5
HH000098	Niger	2,023	rural	richest	5	7	female	safely_managed	basic	on_premises	0	0	0	false	none	false	false	false	false	0	17	33	false	53.5
HH000099	Senegal	2,021	urban	middle	3	6	male	basic	basic	on_premises	0	0	0	false	none	false	false	false	false	0	19	15	false	61.5
HH000100	Ghana	2,019	rural	poorest	1	4	male	limited	basic	adult_woman	20	4	80	false	none	false	false	false	false	0	55	59	false	35.5

End of preview. Expand in Data Studio

Africa Synth Wash Wash Equity Inequalities Africa All | Africa (Electric Sheep Africa metadata inventory)

Size category: 10K<n<100K - Formats: csv - Sector: demographics_social - 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. WASH Equity and Inequalities Africa Dataset containing synthetic household-level WASH equity data across Sub-Saharan African countries, analyzing inequalities in water and sanitation access based on wealth, gender, and location. Dataset Structure Split Records high_burden 6,000 moderate_burden 5,000 low_burden… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-wash-wash-equity-inequalities-africa-all.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-wash-wash-equity-inequalities-africa-all`
Sector	demographics_social
Topic tags	wash, water, sanitation, hygiene, synthetic-data, sub-saharan-africa, wash-equity, synthetic
Modalities	`tabular`, `text`
Formats	`csv`
Size category	`10K<n<100K`
Countries	Africa-wide or source-defined African coverage
ISO3 coverage	`not declared`
Last modified on HF	`2026-04-14 22:53:03+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-wash-wash-equity-inequalities-africa-all")
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: country, 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-wash-wash-equity-inequalities-africa-all
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_wash_wash_equity_inequalities_africa_all_2026,
  title        = {Africa Synth Wash Wash Equity Inequalities Africa All | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-wash-wash-equity-inequalities-africa-all},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-wash-wash-equity-inequalities-africa-all}}
}

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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