electricsheepafrica/africa-emissions-from-forests-area

Emissions from Forests — Area | Africa (FAOSTAT)

🌍 6,115 observations · 54 Africa countries · 1990–2025 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 6,115 observations of Climate Change data across 54 Africa countries, spanning 1990–2025, covering 3 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
Namibia	174	1990	2025
Ghana	174	1990	2025
Kenya	158	1990	2025
South Africa	154	1990	2025
Rwanda	142	1990	2025
Algeria	141	1990	2025
Côte d'Ivoire	141	1990	2025
Guinea-Bissau	134	1990	2025
Nigeria	131	1990	2025
Mauritius	131	1990	2025
Morocco	120	1990	2025
Democratic Republic of the Congo	119	1990	2025
Zimbabwe	115	1990	2025
Liberia	111	1990	2025
Burundi	108	1990	2025
...	39 more countries

Indicators (sample)

• Forestland
• Net Forest conversion
• Carbon stock change in forests

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_m49	int64	—	12
item	string	—	Forestland
year	int64	—	1990
value	float64	—	1714.96
unit	string	—	1000 ha
flag	string	—	X

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-emissions-from-forests-area")
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"] == "Forestland"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="Forestland")

Pivot to country × year matrix

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

Citation

@misc{africa_emissions_from_forests_area_2025,
  title        = {Emissions from Forests — Area | Africa (FAOSTAT)},
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  year         = {2025},
  url          = {https://www.fao.org/faostat/en/#data/GF},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-emissions-from-forests-area}}
}

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/GF