electricsheepafrica/africa-emissions-from-crops-crops-total-emissions-ch4

Emissions from Crops — Crops total (Emissions CH4) | Africa (FAOSTAT)

🌍 3,311 observations · 52 Africa countries · 1961–2050 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 3,311 observations of Climate Change data across 52 Africa countries, spanning 1961–2050, covering 2 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

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

Country	Rows	First year	Last year
Ghana	83	1961	2050
Central African Republic	74	1961	2050
Mauritius	72	1961	2050
Democratic Republic of the Congo	71	1961	2050
Kenya	70	1961	2050
Burundi	69	1961	2050
Zambia	68	1961	2050
Mali	68	1961	2050
Liberia	68	1961	2050
Togo	68	1961	2050
Guinea-Bissau	68	1961	2050
Egypt	68	1961	2050
Congo	67	1961	2050
Côte d'Ivoire	67	1961	2050
Benin	67	1961	2050
...	37 more countries

Indicators (sample)

• All Crops
• Rice

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_m49	int64	—	12
item	string	—	All Crops
year	int64	—	1961
value	float64	—	2.4283
unit	string	—	kt
flag	string	—	E

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-emissions-from-crops-crops-total-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"] == "All Crops"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="All Crops")

Pivot to country × year matrix

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

Citation

@misc{africa_emissions_from_crops_crops_total_emissions_ch4_2050,
  title        = {Emissions from Crops — Crops total (Emissions CH4) | Africa (FAOSTAT)},
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  year         = {2050},
  url          = {https://www.fao.org/faostat/en/#data/GCE},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-crops-crops-total-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/GCE