electricsheepafrica/africa-emissions-totals-emissions-n2o

Emissions totals — Emissions (N2O) | Africa (FAOSTAT)

🌍 80,681 observations · 54 Africa countries · 1961–2050 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 80,681 observations of Climate Change data across 54 Africa countries, spanning 1961–2050, covering 36 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
Ghana	1,674	1961	2050
Morocco	1,638	1961	2050
South Africa	1,624	1961	2050
Egypt	1,623	1961	2050
Tunisia	1,621	1961	2050
Algeria	1,616	1961	2050
Gabon	1,612	1961	2050
Benin	1,610	1961	2050
Malawi	1,608	1961	2050
Eswatini	1,607	1961	2050
Zimbabwe	1,604	1961	2050
Togo	1,601	1961	2050
Mozambique	1,595	1961	2050
Senegal	1,594	1961	2050
Democratic Republic of the Congo	1,588	1961	2050
...	39 more countries

Indicators (sample)

• Manure Management
• IPCC Agriculture
• Agricultural Soils
• Manure left on Pasture
• Manure applied to Soils
• Emissions from crops
• Emissions from livestock
• Synthetic Fertilizers
• Burning - Crop residues
• Waste

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_m49	int64	—	12
item	string	—	Crop Residues
year	int64	—	1961
value	float64	—	0.4545
unit	string	—	kt
flag	string	—	E

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-emissions-totals-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"] == "Crop Residues"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="Crop Residues")

Pivot to country × year matrix

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

Citation

@misc{africa_emissions_totals_emissions_n2o_2050,
  title        = {Emissions totals — Emissions (N2O) | Africa (FAOSTAT)},
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  year         = {2050},
  url          = {https://www.fao.org/faostat/en/#data/GT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-emissions-totals-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/GT