electricsheepafrica/africa-emissions-from-energy-use-in-agriculture-emissions-co2

Emissions from Energy use in agriculture — Emissions (CO2) | Africa (FAOSTAT)

🌍 4,241 observations · 42 Africa countries · 1990–2023 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 4,241 observations of Climate Change data across 42 Africa countries, spanning 1990–2023, covering 6 distinct indicators.

About the source

• Source: FAOSTAT (FAO)
• Publisher: Food and Agriculture Organization of the United Nations (FAO)
• License: cc-by-4.0
• Topic: Climate Change

Geographic coverage

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

Country	Rows	First year	Last year
Zimbabwe	156	1990	2023
Tunisia	153	1990	2023
South Africa	150	1990	2023
Algeria	143	1990	2023
Eswatini	140	1990	2023
Zambia	140	1990	2023
Mauritius	136	1990	2023
Malawi	136	1990	2023
Egypt	136	1990	2023
Côte d'Ivoire	136	1990	2023
Morocco	136	1990	2023
Senegal	136	1990	2023
Ghana	133	1990	2023
Burkina Faso	131	1990	2023
Botswana	131	1990	2023
...	27 more countries

Indicators (sample)

• Total Energy
• Petroleum products
• Total Energy (excl.eletricity & heat)
• Electricity
• Coal
• Natural gas

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_m49	int64	—	12
item	string	—	Petroleum products
year	int64	—	1990
value	float64	—	0.0
unit	string	—	kt
flag	string	—	E

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-emissions-from-energy-use-in-agriculture-emissions-co2")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_name"] == "KEN"]

Time-series for a single indicator

sample = (df[df["item"] == "Petroleum products"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="Petroleum products")

Pivot to country × year matrix

matrix = (df[df["item"] == "Petroleum products"]
          .pivot_table(index="year", columns="country_name", values="value"))
print(matrix.tail())

Citation

@misc{africa_emissions_from_energy_use_in_agriculture_emissions_co2_2023,
  title        = {Emissions from Energy use in agriculture — Emissions (CO2) | Africa (FAOSTAT)},
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  year         = {2023},
  url          = {https://www.fao.org/faostat/en/#data/GN},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-energy-use-in-agriculture-emissions-co2}}
}

License

Released under cc-by-4.0.

Original data © Food and Agriculture Organization of the United Nations (FAO). 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

---

Provenance: ingested 2026-06-17 via the Electric Sheep pipeline. Source URL: https://www.fao.org/faostat/en/#data/GN