electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-rainfall-indicators-at-subnational-level-46f40147

Equatorial Guinea: Rainfall Indicators at Subnational Level | Africa (Equatorial Guinea official open data)

275,604 rows - 1 Africa country - 1981-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Equatorial Guinea as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• —Source: Equatorial Guinea: Rainfall Indicators at Subnational Level
• —Publisher: WFP - World Food Programme
• —Resource: gnq-rainfall-subnat-full.csv
• —Format: CSV
• —License: CC BY 4.0
• —Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Indicators or Resource Contents

• —equatorial-guinea-rainfall-indicators-at-subnational-level-adm-level-7147e89e - Equatorial Guinea: Rainfall Indicators at Subnational Level - adm level
• —equatorial-guinea-rainfall-indicators-at-subnational-level-adm-id-a77eaf44 - Equatorial Guinea: Rainfall Indicators at Subnational Level - adm id
• —equatorial-guinea-rainfall-indicators-at-subnational-level-n-pixels-25e4cfd3 - Equatorial Guinea: Rainfall Indicators at Subnational Level - n pixels
• —equatorial-guinea-rainfall-indicators-at-subnational-level-rfh-5cbcb1c3 - Equatorial Guinea: Rainfall Indicators at Subnational Level - rfh
• —equatorial-guinea-rainfall-indicators-at-subnational-level-rfh-avg-5387f4f6 - Equatorial Guinea: Rainfall Indicators at Subnational Level - rfh avg
• —equatorial-guinea-rainfall-indicators-at-subnational-level-r1h-b77e556c - Equatorial Guinea: Rainfall Indicators at Subnational Level - r1h
• —equatorial-guinea-rainfall-indicators-at-subnational-level-r1h-avg-afd5c6d1 - Equatorial Guinea: Rainfall Indicators at Subnational Level - r1h avg
• —equatorial-guinea-rainfall-indicators-at-subnational-level-r3h-a4871b92 - Equatorial Guinea: Rainfall Indicators at Subnational Level - r3h
• —equatorial-guinea-rainfall-indicators-at-subnational-level-r3h-avg-c8644858 - Equatorial Guinea: Rainfall Indicators at Subnational Level - r3h avg
• —equatorial-guinea-rainfall-indicators-at-subnational-level-rfq-a080d992 - Equatorial Guinea: Rainfall Indicators at Subnational Level - rfq
• —equatorial-guinea-rainfall-indicators-at-subnational-level-r1q-76b3dca2 - Equatorial Guinea: Rainfall Indicators at Subnational Level - r1q
• —equatorial-guinea-rainfall-indicators-at-subnational-level-r3q-c02e4576 - Equatorial Guinea: Rainfall Indicators at Subnational Level - r3q

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-rainfall-indicators-at-subnational-level-46f40147")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "GNQ"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_equatorial_guinea_equatorial_guinea_rainfall_indicators_at_subnational_le_2026,
  title        = {Equatorial Guinea: Rainfall Indicators at Subnational Level | Africa (Equatorial Guinea official open data)},
  author       = {WFP - World Food Programme},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/gnq-rainfall-subnational},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-equatorial-guinea-equatorial-guinea-rainfall-indicators-at-subnational-level-46f40147}}
}

License

Released under CC BY 4.0.

Original data (c) WFP - World Food Programme. 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 Hugging Face. 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

Provenance: ingested 2026-08-30 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/972ef3f6-6fe8-45d6-ab24-dead4f81378f/resource/ed5c441c-a9d8-4b4e-8b4a-f7e76d44a371/download/gnq-rainfall-subnat-full.csv