electricsheepafrica/africa-emissions-from-livestock-manure-management-emissions-ch4

Emissions from Livestock — Manure management (Emissions CH4) | Africa (FAOSTAT)

🌍 58,268 observations · 54 Africa countries · 1961–2050 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 58,268 observations of Climate Change data across 54 Africa countries, spanning 1961–2050, covering 23 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

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

Country	Rows	First year	Last year
Egypt	1,498	1961	2050
Namibia	1,482	1961	2050
Algeria	1,431	1961	2050
Mauritius	1,373	1961	2050
Tunisia	1,368	1961	2050
Morocco	1,330	1961	2050
South Africa	1,312	1961	2050
Zimbabwe	1,303	1961	2050
Sao Tome and Principe	1,301	1961	2050
Somalia	1,300	1961	2050
Nigeria	1,247	1961	2050
Niger	1,238	1961	2050
Mali	1,237	1961	2050
Madagascar	1,237	1961	2050
Chad	1,237	1961	2050
...	39 more countries

Indicators (sample)

• All Animals
• Goats
• Cattle, non-dairy
• Cattle
• Cattle, dairy
• Sheep and Goats
• Sheep
• Poultry Birds
• Chickens, broilers
• Chickens

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_m49	int64	—	12
item	string	—	Asses
year	int64	—	1961
value	float64	—	0.2835
unit	string	—	kt
flag	string	—	E

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-emissions-from-livestock-manure-management-emissions-ch4")
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"] == "Asses"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="Asses")

Pivot to country × year matrix

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

Citation

@misc{africa_emissions_from_livestock_manure_management_emissions_ch4_2050,
  title        = {Emissions from Livestock — Manure management (Emissions CH4) | Africa (FAOSTAT)},
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  year         = {2050},
  url          = {https://www.fao.org/faostat/en/#data/GLE},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-livestock-manure-management-emissions-ch4}}
}

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

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