Datasets:

electricsheepafrica
/

africa-synth-financial-inclusion-microfinance-access-africa-all

country string	year int64	urban_rural string	gender string	age int64	age_group string	income_quintile string	education string	employment_status string	business_ownership int64	mfi_branch_access int64	mfi_awareness int64	mfi_membership int64	group_lending int64	loan_amount_usd float64	interest_rate float64	loan_term_months int64	loan_purpose string	mfi_name string	repayment_rate float64	monthly_repayment_usd float64	missed_payments int64	savings_with_mfi int64	savings_balance_usd float64	training_received int64	scenario string
Uganda	2,020	rural	female	61	55+	middle	none	self_employed	1	1	1	1	1	103.6	0.435	12	small_business	UML	0.96	12.39	2	0	0	1	low_burden
Mali	2,024	urban	female	42	35-44	fourth	secondary	employed_informal	0	1	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Rwanda	2,018	rural	male	46	45-54	fourth	tertiary	employed_informal	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,021	urban	male	34	25-34	lowest	primary	employed_formal	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,024	rural	female	59	55+	lowest	tertiary	farmer	0	1	1	1	1	199.98	0.341	12	small_business	NBS	0.89	22.35	2	1	440.72	0	low_burden
DRC	2,025	urban	female	21	18-24	fourth	secondary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Uganda	2,020	rural	female	30	25-34	highest	tertiary	farmer	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,023	urban	female	64	55+	highest	primary	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Ghana	2,019	urban	female	40	35-44	highest	none	self_employed	1	1	1	1	1	231.77	0.205	6	agriculture	Sinapi Aba	0.977	46.55	0	1	323.53	1	low_burden
Uganda	2,018	rural	female	26	25-34	middle	none	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Zambia	2,020	urban	female	37	35-44	highest	secondary	self_employed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
South Africa	2,025	urban	female	29	25-34	second	tertiary	self_employed	1	0	1	1	1	308.99	0.304	12	agriculture	Small Enterprise Foundation	0.975	33.58	0	1	161.22	1	low_burden
Mali	2,023	rural	female	42	35-44	fourth	primary	self_employed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mali	2,021	urban	male	29	25-34	highest	none	employed_informal	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,020	rural	male	36	35-44	fourth	none	employed_informal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mali	2,019	rural	male	60	55+	second	secondary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Zambia	2,020	urban	female	21	18-24	second	tertiary	employed_formal	0	1	0	1	0	456.99	0.306	3	healthcare	Bayport	0.836	199.02	0	0	0	0	low_burden
Uganda	2,019	rural	female	53	45-54	second	primary	employed_informal	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
DRC	2,019	urban	male	21	18-24	second	secondary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,023	rural	female	39	35-44	fourth	secondary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Zambia	2,019	urban	male	49	45-54	fourth	tertiary	employed_formal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Ethiopia	2,018	urban	male	62	55+	lowest	secondary	employed_formal	0	1	0	1	1	132.83	0.399	12	small_business	Wisdom	0.921	15.48	0	1	610.56	1	low_burden
Nigeria	2,022	urban	female	29	25-34	fourth	primary	unemployed	1	1	1	1	0	698.03	0.272	12	agriculture	Fortis	0.967	73.97	0	0	0	0	low_burden
Mozambique	2,020	rural	male	20	18-24	second	secondary	unemployed	0	0	0	1	0	239.09	0.215	18	small_business	Gabinete	0.924	16.14	5	1	900.83	0	low_burden
Mali	2,021	rural	male	53	45-54	middle	secondary	self_employed	1	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Rwanda	2,019	rural	female	60	55+	second	tertiary	employed_informal	0	0	1	1	1	207.89	0.27	12	small_business	UOB	0.975	22	0	1	125.03	1	low_burden
Malawi	2,019	rural	male	44	35-44	middle	secondary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
DRC	2,021	rural	female	20	18-24	fourth	none	employed_informal	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Senegal	2,023	rural	female	41	35-44	fourth	secondary	farmer	0	1	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,021	rural	female	36	35-44	fourth	secondary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,022	rural	female	39	35-44	second	primary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Ghana	2,022	urban	male	20	18-24	fourth	tertiary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Uganda	2,020	rural	female	32	25-34	lowest	primary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Senegal	2,020	rural	male	64	55+	middle	tertiary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mozambique	2,021	urban	male	20	18-24	middle	primary	self_employed	1	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Kenya	2,018	urban	female	60	55+	fourth	none	self_employed	1	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
DRC	2,023	urban	male	42	35-44	highest	secondary	self_employed	1	1	1	1	0	475.88	0.321	12	small_business	FINCA	0.989	52.37	0	1	389.29	0	low_burden
DRC	2,022	rural	female	45	35-44	second	secondary	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Tanzania	2,020	urban	male	61	55+	fourth	tertiary	self_employed	1	1	1	1	1	204.99	0.309	24	agriculture	BRAC	0.957	11.18	2	1	901.74	0	low_burden
Rwanda	2,020	rural	female	28	25-34	second	secondary	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Nigeria	2,020	rural	male	64	55+	middle	none	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mali	2,023	rural	male	31	25-34	fourth	tertiary	employed_informal	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,024	urban	female	34	25-34	fourth	secondary	employed_informal	0	1	1	1	0	189.86	0.419	12	agriculture	MFI networks	0.972	22.46	1	0	0	0	low_burden
Ethiopia	2,018	rural	male	39	35-44	highest	primary	employed_formal	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Uganda	2,021	rural	female	46	45-54	fourth	tertiary	farmer	0	1	0	1	1	125.84	0.304	12	small_business	UML	0.951	13.68	2	0	0	0	low_burden
South Africa	2,018	urban	male	33	25-34	second	none	employed_formal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,021	urban	female	55	45-54	highest	none	employed_informal	1	1	1	1	0	293.42	0.314	6	emergency	NBS	0.964	64.25	0	1	490.65	1	low_burden
Mozambique	2,019	urban	female	19	18-24	highest	secondary	employed_informal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,020	urban	female	49	45-54	second	secondary	farmer	0	1	1	1	0	738.85	0.395	12	small_business	Yikri	0.999	85.9	0	1	758.47	1	low_burden
Mali	2,021	rural	female	48	45-54	lowest	secondary	unemployed	0	0	1	1	1	61.9	0.313	12	healthcare	Kafo Jiginew	0.959	6.77	1	1	718.9	0	low_burden
Mali	2,020	rural	male	43	35-44	second	tertiary	farmer	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Nigeria	2,021	rural	female	46	45-54	fourth	primary	employed_informal	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Ethiopia	2,024	rural	female	53	45-54	highest	tertiary	self_employed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Zambia	2,024	rural	female	60	55+	fourth	none	employed_informal	1	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Zambia	2,018	rural	female	28	25-34	second	none	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Kenya	2,021	rural	female	40	35-44	lowest	primary	employed_formal	1	1	0	1	0	74.85	0.337	24	consumption	Jamii Bora	0.928	4.17	1	0	0	1	low_burden
Senegal	2,024	urban	female	44	35-44	middle	none	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Nigeria	2,022	rural	male	34	25-34	second	primary	farmer	0	0	1	1	1	126.23	0.449	12	small_business	AB Microfinance	0.885	15.24	2	0	0	1	low_burden
Mali	2,019	urban	female	63	55+	lowest	tertiary	farmer	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,022	rural	female	42	35-44	lowest	secondary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mozambique	2,019	rural	female	45	35-44	lowest	secondary	employed_informal	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mali	2,018	rural	male	27	25-34	lowest	none	employed_informal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Ethiopia	2,023	urban	female	37	35-44	fourth	tertiary	self_employed	1	0	0	1	1	214.06	0.229	6	small_business	Amhara Credit	0.999	43.84	0	1	459.41	1	low_burden
South Africa	2,022	rural	female	47	45-54	second	primary	employed_informal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,024	urban	female	38	35-44	second	secondary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Tanzania	2,020	rural	male	54	45-54	middle	secondary	self_employed	1	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mozambique	2,024	urban	male	24	18-24	highest	none	unemployed	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Ethiopia	2,021	rural	male	25	18-24	fourth	secondary	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Uganda	2,023	rural	male	33	25-34	middle	tertiary	employed_informal	0	1	1	1	1	293.85	0.315	6	small_business	Uganda Finance Trust	0.983	64.39	0	0	0	0	low_burden
Zambia	2,018	urban	female	32	25-34	fourth	primary	employed_informal	0	1	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mali	2,018	urban	male	56	55+	fourth	secondary	self_employed	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Nigeria	2,024	rural	female	58	55+	fourth	tertiary	employed_formal	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,024	urban	male	40	35-44	middle	primary	farmer	1	1	1	1	0	173.19	0.324	6	consumption	NBS	0.949	38.22	1	1	639.48	0	low_burden
Uganda	2,025	urban	male	41	35-44	middle	primary	farmer	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,020	urban	female	31	25-34	second	primary	farmer	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Zambia	2,018	urban	female	42	35-44	second	secondary	self_employed	1	0	1	1	1	181.7	0.259	9	agriculture	FINCA	0.992	25.42	0	1	200.9	0	low_burden
Tanzania	2,025	rural	male	51	45-54	second	primary	farmer	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Ghana	2,022	rural	male	51	45-54	second	primary	self_employed	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Senegal	2,019	urban	female	63	55+	second	primary	unemployed	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,024	rural	female	45	35-44	middle	tertiary	farmer	1	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
South Africa	2,025	urban	male	33	25-34	middle	tertiary	farmer	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,020	urban	female	21	18-24	lowest	secondary	employed_informal	0	1	0	1	1	91.08	0.402	12	small_business	FINCA	0.951	10.64	1	1	514.51	0	low_burden
Nigeria	2,024	rural	male	50	45-54	second	tertiary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
DRC	2,024	urban	female	55	45-54	second	secondary	employed_informal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Rwanda	2,022	rural	male	43	35-44	fourth	tertiary	self_employed	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,023	rural	female	61	55+	second	none	self_employed	1	1	1	1	0	153.9	0.29	6	small_business	ACEP	0.94	33.08	0	0	0	1	low_burden
Uganda	2,020	rural	female	32	25-34	lowest	primary	employed_informal	1	1	0	1	1	146.3	0.428	6	small_business	FINCA	0.905	34.83	1	1	153.21	0	low_burden
Tanzania	2,025	rural	male	20	18-24	lowest	tertiary	employed_formal	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Mali	2,025	urban	male	47	45-54	middle	primary	employed_informal	0	1	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
DRC	2,025	urban	male	23	18-24	lowest	primary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Malawi	2,023	urban	male	21	18-24	middle	secondary	farmer	1	0	1	1	0	230.61	0.284	6	education	FINCA	0.94	49.33	0	1	181.5	1	low_burden
DRC	2,018	rural	male	50	45-54	middle	secondary	unemployed	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
DRC	2,020	rural	male	38	35-44	highest	primary	farmer	0	1	0	1	1	1,495.06	0.229	12	healthcare	FINCA	0.943	153.11	1	0	0	0	low_burden
Ethiopia	2,021	urban	female	46	45-54	middle	primary	self_employed	1	0	1	1	1	245.81	0.249	6	agriculture	Buusaa Gonofaa	0.987	51.18	0	1	348.98	0	low_burden
Mozambique	2,025	urban	male	53	45-54	lowest	primary	farmer	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Tanzania	2,022	urban	female	35	25-34	second	none	self_employed	1	0	1	1	1	180.48	0.417	3	small_business	Yosefa	0.966	85.22	0	1	738.47	0	low_burden
Ghana	2,022	rural	male	46	45-54	fourth	primary	employed_informal	0	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Niger	2,019	rural	female	43	35-44	second	secondary	unemployed	0	0	0	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden
Rwanda	2,024	rural	male	45	35-44	highest	secondary	unemployed	0	1	1	1	0	101.83	0.325	9	housing	UOB	0.921	14.99	0	0	0	0	low_burden
Nigeria	2,020	rural	female	51	45-54	middle	primary	employed_formal	1	0	1	0	0	0	0	0	none	none	0	0	0	0	0	0	low_burden

End of preview. Expand in Data Studio

Africa Synth Financial Inclusion Microfinance Access Africa All | Africa (Electric Sheep Africa metadata inventory)

Size category: 10K<n<100K - Formats: csv - Sector: economics_finance - 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. Microfinance Access in Africa Synthetic dataset modeling microfinance institution (MFI) access and loan patterns across 15 Sub-Saharan African countries from 2018-2025. Dataset Description This dataset simulates individual-level microfinance access, membership, and loan patterns. It captures the role of MFIs in extending… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-financial-inclusion-microfinance-access-africa-all.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-financial-inclusion-microfinance-access-africa-all`
Sector	economics_finance
Topic tags	financial-inclusion, fintech, synthetic-data, sub-saharan-africa, microfinance, 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 22:53:24+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-financial-inclusion-microfinance-access-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-financial-inclusion-microfinance-access-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_financial_inclusion_microfinance_access_africa_all_2026,
  title        = {Africa Synth Financial Inclusion Microfinance Access Africa All | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-financial-inclusion-microfinance-access-africa-all},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-financial-inclusion-microfinance-access-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.

Downloads last month: 49