electricsheepafrica/africa-emissions-from-livestock-livestock-total-emissions-n2o

Emissions from Livestock — Livestock total (Emissions N2O) | Africa (FAOSTAT)

🌍 58,070 observations · 54 Africa countries · 1961–2050 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 58,070 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	1,497	1961	2050
Algeria	1,432	1961	2050
Mauritius	1,373	1961	2050
Tunisia	1,368	1961	2050
Namibia	1,352	1961	2050
Morocco	1,330	1961	2050
South Africa	1,309	1961	2050
Zimbabwe	1,302	1961	2050
Sao Tome and Principe	1,301	1961	2050
Somalia	1,300	1961	2050
Nigeria	1,246	1961	2050
Madagascar	1,238	1961	2050
Mali	1,236	1961	2050
Senegal	1,235	1961	2050
Chad	1,235	1961	2050
...	39 more countries

Indicators (sample)

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

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_m49	int64	—	12
item	string	—	Asses
year	int64	—	1961
value	float64	—	0.156
unit	string	—	kt
flag	string	—	E

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-emissions-from-livestock-livestock-total-emissions-n2o")
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_livestock_total_emissions_n2o_2050,
  title        = {Emissions from Livestock — Livestock total (Emissions N2O) | 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-livestock-total-emissions-n2o}}
}

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