electricsheepafrica/africa-worldbank-wbl-legal-framework-entrepreneurship-the-law-prescribes-a-gender-quota-for-corp

WBL: Legal Framework, Entrepreneurship, The law prescribes a gender quota for corporate boards | Africa (World Bank — Gender Statistics)

🌍 54 observations · 54 Africa countries · 2025–2025 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 54 observations of Gender Statistics data across 54 Africa countries, spanning 2025–2025, covering 1 distinct indicators.

About the source

• Source: World Bank — Gender Statistics
• Publisher: World Bank
• License: cc-by-4.0
• Topic: Gender Statistics

Geographic coverage

54 Africa countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
AGO	1	2025	2025
BDI	1	2025	2025
BEN	1	2025	2025
BFA	1	2025	2025
BWA	1	2025	2025
CAF	1	2025	2025
CIV	1	2025	2025
CMR	1	2025	2025
COD	1	2025	2025
COG	1	2025	2025
COM	1	2025	2025
CPV	1	2025	2025
DJI	1	2025	2025
DZA	1	2025	2025
EGY	1	2025	2025
...	39 more countries

Indicators (sample)

• GD_WBL_ENT_LAW_QUOTA — WBL: Legal Framework, Entrepreneurship, The law prescribes a gender quota for corporate boards

Schema

Column	Type	Description	Example
indicator_id	string	—	GD_WBL_ENT_LAW_QUOTA
indicator_name	string	—	WBL: Legal Framework, Entrepreneurshi…
country_iso3	string	—	DZA
country_name	string	—	Algeria
year	int64	—	2025
value	float64	—	0.0

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-wbl-legal-framework-entrepreneurship-the-law-prescribes-a-gender-quota-for-corp")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_iso3"] == "KEN"]

Time-series for a single indicator

sample = (df[df["indicator_id"] == "GD_WBL_ENT_LAW_QUOTA"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="GD_WBL_ENT_LAW_QUOTA")

Pivot to country × year matrix

matrix = (df[df["indicator_id"] == "GD_WBL_ENT_LAW_QUOTA"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation

@misc{africa_worldbank_wbl_legal_framework_entrepreneurship_the_law_prescribes_a_gender_quota_for_corp_2025,
  title        = {WBL: Legal Framework, Entrepreneurship, The law prescribes a gender quota for corporate boards | Africa (World Bank — Gender Statistics)},
  author       = {World Bank},
  year         = {2025},
  url          = {https://databank.worldbank.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-wbl-legal-framework-entrepreneurship-the-law-prescribes-a-gender-quota-for-corp}}
}

License

Released under cc-by-4.0.

Original data © World Bank. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-06-17 via the Electric Sheep pipeline. Source URL: https://databank.worldbank.org/